diff --git a/setup.cfg b/.flake8 similarity index 80% rename from setup.cfg rename to .flake8 index de3ed5cb4..f45f038bc 100644 --- a/setup.cfg +++ b/.flake8 @@ -18,7 +18,3 @@ import-order-style = smarkets statistics = True count = True verbose = 1 -# format = [%(code)s] %(text)s @ %(path)s:%(row)d:%(col)d - -[codespell] -ignore-words-list = pres,nd diff --git a/.github/workflows/draft-pdf.yml b/.github/workflows/draft-pdf.yml index 8e7fde16b..4550f6314 100644 --- a/.github/workflows/draft-pdf.yml +++ b/.github/workflows/draft-pdf.yml @@ -1,4 +1,10 @@ -on: [push] +on: + push: + branches: + - master + pull_request: + branches: + - master jobs: paper: @@ -6,7 +12,7 @@ jobs: name: Paper Draft steps: - name: Checkout - uses: actions/checkout@v2 + uses: actions/checkout@v3 - name: Build draft PDF uses: openjournals/openjournals-draft-action@master with: @@ -14,7 +20,7 @@ jobs: # This should be the path to the paper within your repo. paper-path: docs/JOSS2/paper.md - name: Upload - uses: actions/upload-artifact@v1 + uses: actions/upload-artifact@v3 with: name: paper # This is the output path where Pandoc will write the compiled diff --git a/.github/workflows/notebooks.yml b/.github/workflows/notebooks.yml new file mode 100644 index 000000000..dd932bd26 --- /dev/null +++ b/.github/workflows/notebooks.yml @@ -0,0 +1,39 @@ +on: + schedule: + # run twice a month during times when hopefully few other jobs are scheduled + - cron: '0 12 6,21 * *' + +jobs: + find-notebooks: + runs-on: ubuntu-latest + outputs: + paths: ${{ steps.find-notebooks.outputs.paths }} + steps: + - name: List Files + id: find-notebooks + uses: mirko-felice/list-files-action@v3.0.5 + with: + repo: ${{ github.repository }} + ref: ${{ github.ref }} + path: "examples" + ext: ".ipynb" + + run-notebooks: + needs: find-notebooks + runs-on: ubuntu-latest + strategy: + fail-fast: false + matrix: + files: ${{ fromJson(needs.find-notebooks.outputs.paths) }} + steps: + - uses: actions/checkout@v3 + - name: Set up Python + uses: actions/setup-python@v3 + with: + python-version: "3.9" + - name: Install dependencies + run: | + pip install .[cvxpy,miosr] sympy nbconvert jupyter matplotlib seaborn pandas dysts + - name: Run Notebook + run: | + jupyter nbconvert --execute --to notebook --inplace ${{ matrix.files }} diff --git a/.github/workflows/release.yml b/.github/workflows/release.yml index 94631af07..8f40cc621 100644 --- a/.github/workflows/release.yml +++ b/.github/workflows/release.yml @@ -10,17 +10,19 @@ jobs: runs-on: ubuntu-latest steps: - name: Checkout source - uses: actions/checkout@v1 + uses: actions/checkout@v3 - name: Set up Python - uses: actions/setup-python@v1 + uses: actions/setup-python@v3 with: - python-version: 3.7 - - name: Install dependencies - run: pip install wheel + python-version: "3.9" + - name: Install Build + run: | + python -m pip install --upgrade pip + pip install build - name: Build package - run: python setup.py sdist bdist_wheel + run: python -m build . - name: Upload package - uses: pypa/gh-action-pypi-publish@master + uses: pypa/gh-action-pypi-publish@v1.8.5 with: user: __token__ password: ${{ secrets.PYPI_TOKEN }} diff --git a/.gitignore b/.gitignore index c7909a4c7..f862d8a3a 100644 --- a/.gitignore +++ b/.gitignore @@ -3,6 +3,10 @@ dist *.egg-info commit-msg todo +poetry.lock + +# profiling +prof/ # Environments .env @@ -12,6 +16,7 @@ venv/ ENV/ env.bak/ venv.bak/ +env8 # automatically generated by setuptools-scm pysindy/version.py diff --git a/.pre-commit-config.yaml b/.pre-commit-config.yaml index efaba4b76..659986caa 100644 --- a/.pre-commit-config.yaml +++ b/.pre-commit-config.yaml @@ -18,7 +18,7 @@ repos: rev: 5.0.4 hooks: - id: flake8 - args: ["--config=setup.cfg"] + args: ["--config=.flake8"] - repo: https://github.com/pre-commit/pygrep-hooks rev: v1.9.0 hooks: @@ -34,11 +34,12 @@ repos: hooks: - id: sphinx-lint - repo: https://github.com/codespell-project/codespell - rev: v2.1.0 + rev: v2.2.4 hooks: - id: codespell types_or: [python, rst, markdown] - args: ["-L hist"] + additional_dependencies: [tomli] + args: ["--toml", "pyproject.toml"] - repo: https://github.com/pre-commit/pre-commit-hooks rev: v4.3.0 hooks: diff --git a/.readthedocs.yml b/.readthedocs.yml index ba75fe2e1..e92b3611a 100644 --- a/.readthedocs.yml +++ b/.readthedocs.yml @@ -3,7 +3,17 @@ version: 2 sphinx: configuration: docs/conf.py +build: + os: "ubuntu-22.04" + tools: + python: "3.8" + python: - version: 3.7 install: - - requirements: requirements-dev.txt + - method: pip + path: . + extra_requirements: + - docs + - cvxpy + - miosr + - dev diff --git a/README.rst b/README.rst index d796946f9..4492dd928 100644 --- a/README.rst +++ b/README.rst @@ -38,7 +38,7 @@ The approximation problem to be solved can then be compactly written as Each row of this matrix equation corresponds to one coordinate function of ``f(x)``. SINDy employs sparse regression techniques to find a solution ``Xi`` with sparse column vectors. -For a more in-depth look at the mathematical foundations of SINDy, please see our `introduction to SINDy `__. +For a more in-depth look at the mathematical foundations of SINDy, please see our `introduction to SINDy `__. Relation to PySINDy ^^^^^^^^^^^^^^^^^^^ @@ -93,7 +93,7 @@ which prints the following x' = -2.000 x y' = 1.000 y -PySINDy provides numerous other features not shown here. We recommend the `feature overview `__ section of the documentation for a more exhaustive summary of additional features. +PySINDy provides numerous other features not shown here. We recommend the `feature overview `__ section of the documentation for a more exhaustive summary of additional features. Installation ------------ @@ -121,23 +121,41 @@ Then, to install the package, run pip install . -If you do not have pip you can instead use +If you do not have root access, you should add the ``--user`` option to the above lines. + +Caveats +^^^^^^^ + +To run the unit tests, or example notebooks, you should install the dev-dependencies with: .. code-block:: bash - python setup.py install + pip install pysindy[dev] -If you do not have root access, you should add the ``--user`` option to the above lines. +or if you are installing from a local copy -Caveats -^^^^^^^ -If you would like to use the ``SINDy-PI`` optimizer, the ``Trapping SINDy`` optimizer (TrappingSR3), or the other SR3 optimizations with inequality constraints, you will also need to install the cvxpy package, e.g. with ``pip install cvxpy``. +.. code-block:: bash + + pip install .[dev] + +To build a local copy of the documentation, you should install the docs-dependencies with: + +.. code-block:: bash + + pip install pysindy[docs] + +If you are looking to use convex optimization provided by `cvxpy `__, then you have to install + +.. code-block:: bash + + pip install pysindy[cvxpy] -To run the unit tests, example notebooks, or build a local copy of the documentation, you should install the additional dependencies in ``requirements-dev.txt`` +to utilize Mixed-Integer Optimized Sparse Regression (MIOSR) via `GurobiPy `__, you +require .. code-block:: bash - pip install -r requirements-dev.txt + pip install pysindy[miosr] Documentation @@ -178,11 +196,11 @@ You can optimize your notebook for testing by checking ``__name__``. When our t Contributing code ^^^^^^^^^^^^^^^^^ -We welcome contributions to PySINDy. To contribute a new feature please submit a pull request. To get started we recommend installing the packages in ``requirements-dev.txt`` via +We welcome contributions to PySINDy. To contribute a new feature please submit a pull request. To get started we recommend installing an editable ``dev`` version from a local clone via .. code-block:: bash - pip install -r requirements-dev.txt + pip install -e .[dev] This will allow you to run unit tests and automatically format your code. To be accepted your code should conform to PEP8 and pass all unit tests. Code can be tested by invoking @@ -190,13 +208,19 @@ This will allow you to run unit tests and automatically format your code. To be pytest -We recommend using ``pre-commit`` to format your code. Once you have staged changes to commit +We recommend using ``pre-commit`` to format your code. The easiest approach is to install pre-commit via + +.. code-block:: bash + + pre-commit install + +After which pre-commit will automatically check all future commits. Once you have staged changes to commit .. code-block:: bash git add path/to/changed/file.py -you can run the following to automatically reformat your staged code +Pre-commit will then automatically run all checks against your committed code. If you want to trigger this manually, you can run the following to automatically reformat your staged code .. code-block:: bash @@ -204,6 +228,26 @@ you can run the following to automatically reformat your staged code Note that you will then need to re-stage any changes ``pre-commit`` made to your code. +Building documentation requires the ``docs`` dependencies, which can be installed with either + +.. code-block:: bash + + pip install pysindy[docs] + +or with + +.. code-block:: bash + + pip install .[docs] + +for a local clone of the repository. Once installed, run + +.. code-block:: bash + + python -m sphinx -TEb html -d _build/doctrees -D language=en . ./build + +Or check the build step in the most recent CI run or [RTD build](https://readthedocs.org/projects/pysindy/builds/). + There are a number of SINDy variants and advanced functionality that would be great to implement in future releases: 1. Bayesian SINDy, for instance that from Hirsh, Seth M., David A. Barajas-Solano, and J. Nathan Kutz. "Sparsifying Priors for Bayesian Uncertainty Quantification in Model Discovery." arXiv preprint arXiv:2107.02107 (2021). @@ -335,8 +379,8 @@ Thanks to the members of the community who have contributed to PySINDy! | `andgoldschmidt `_ | `derivative `_ package for numerical differentiation `#85 `_ | +-------------------------------------------------------+------------------------------------------------------------------------------------------------------------------------------------------------------------+ -.. |BuildCI| image:: https://github.com/dynamicslab/pysindy/workflows/Build%20CI/badge.svg - :target: https://github.com/dynamicslab/pysindy/actions?query=workflow%3A%22Build+CI%22 +.. |BuildCI| image:: https://github.com/dynamicslab/pysindy/actions/workflows/main.yml/badge.svg + :target: https://github.com/dynamicslab/pysindy/actions/workflows/main.yml?query=branch%3Amaster .. |RTD| image:: https://readthedocs.org/projects/pysindy/badge/?version=latest :target: https://pysindy.readthedocs.io/en/latest/?badge=latest diff --git a/docs/conf.py b/docs/conf.py index ae17adca2..15322b03c 100644 --- a/docs/conf.py +++ b/docs/conf.py @@ -61,7 +61,8 @@ html_sourcelink_suffix = "" intersphinx_mapping = { - "derivative": ("https://derivative.readthedocs.io/en/latest/", None) + "derivative": ("https://derivative.readthedocs.io/en/latest/", None), + "sklearn": ("https://scikit-learn.org/stable/", None), } # -- Extensions to the Napoleon GoogleDocstring class --------------------- diff --git a/examples/10_PDEFIND_examples.ipynb b/examples/10_PDEFIND_examples.ipynb index a413458e6..864974c76 100644 --- a/examples/10_PDEFIND_examples.ipynb +++ b/examples/10_PDEFIND_examples.ipynb @@ -10,7 +10,7 @@ "This notebook provides a simple overview of the PDE functionality of PySINDy, following the examples in the PDE-FIND paper (Rudy, Samuel H., Steven L. Brunton, Joshua L. Proctor, and J. Nathan Kutz. \"Data-driven discovery of partial differential equations.\" Science Advances 3, no. 4 (2017): e1602614.). Jupyter notebook written by Alan Kaptanoglu.\n", "\n", "An interactive version of this notebook is available on binder\n", - "[![Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/dynamicslab/pysindy/v1.7?filepath=examples/10_PDEFIND_examples.ipynb)" + "[![Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/dynamicslab/pysindy/v1.7.3?filepath=examples/10_PDEFIND_examples.ipynb)" ] }, { @@ -158,15 +158,12 @@ "output_type": "stream", "text": [ "2nd order derivative library: \n", - "['f0(x0)', 'f0(x1)', 'f1(x0)', 'f1(x1)', 'x0_1', 'x1_1', 'x0_11', 'x1_11', 'f0(x0)x0_1', 'f0(x0)x1_1', 'f0(x1)x0_1', 'f0(x1)x1_1', 'f1(x0)x0_1', 'f1(x0)x1_1', 'f1(x1)x0_1', 'f1(x1)x1_1', 'f0(x0)x0_11', 'f0(x0)x1_11', 'f0(x1)x0_11', 'f0(x1)x1_11', 'f1(x0)x0_11', 'f1(x0)x1_11', 'f1(x1)x0_11', 'f1(x1)x1_11']\n", - "2nd order derivative library with function names: \n", - "['x0', 'x1', 'x0x0', 'x1x1', 'x0_1', 'x1_1', 'x0_11', 'x1_11', 'x0x0_1', 'x0x1_1', 'x1x0_1', 'x1x1_1', 'x0x0x0_1', 'x0x0x1_1', 'x1x1x0_1', 'x1x1x1_1', 'x0x0_11', 'x0x1_11', 'x1x0_11', 'x1x1_11', 'x0x0x0_11', 'x0x0x1_11', 'x1x1x0_11', 'x1x1x1_11'] \n", - "\n", + "['x0', 'x1', 'x0^2', 'x0 x1', 'x1^2', 'x0_1', 'x1_1', 'x0_11', 'x1_11', 'x0x0_1', 'x1x0_1', 'x0^2x0_1', 'x0 x1x0_1', 'x1^2x0_1', 'x0x1_1', 'x1x1_1', 'x0^2x1_1', 'x0 x1x1_1', 'x1^2x1_1', 'x0x0_11', 'x1x0_11', 'x0^2x0_11', 'x0 x1x0_11', 'x1^2x0_11', 'x0x1_11', 'x1x1_11', 'x0^2x1_11', 'x0 x1x1_11', 'x1^2x1_11']\n", "4th order derivative library: \n", - "['1', 'x0', 'x1', 'x0x0', 'x1x1', 'x0_1', 'x1_1', 'x0_11', 'x1_11', 'x0_111', 'x1_111', 'x0_1111', 'x1_1111', 'x0x0_1', 'x0x1_1', 'x1x0_1', 'x1x1_1', 'x0x0x0_1', 'x0x0x1_1', 'x1x1x0_1', 'x1x1x1_1', 'x0x0_11', 'x0x1_11', 'x1x0_11', 'x1x1_11', 'x0x0x0_11', 'x0x0x1_11', 'x1x1x0_11', 'x1x1x1_11', 'x0x0_111', 'x0x1_111', 'x1x0_111', 'x1x1_111', 'x0x0x0_111', 'x0x0x1_111', 'x1x1x0_111', 'x1x1x1_111', 'x0x0_1111', 'x0x1_1111', 'x1x0_1111', 'x1x1_1111', 'x0x0x0_1111', 'x0x0x1_1111', 'x1x1x0_1111', 'x1x1x1_1111'] \n", + "['1', 'x0', 'x1', 'x0^2', 'x0 x1', 'x1^2', 'x0_1', 'x1_1', 'x0_11', 'x1_11', 'x0_111', 'x1_111', 'x0_1111', 'x1_1111', 'x0x0_1', 'x1x0_1', 'x0^2x0_1', 'x0 x1x0_1', 'x1^2x0_1', 'x0x1_1', 'x1x1_1', 'x0^2x1_1', 'x0 x1x1_1', 'x1^2x1_1', 'x0x0_11', 'x1x0_11', 'x0^2x0_11', 'x0 x1x0_11', 'x1^2x0_11', 'x0x1_11', 'x1x1_11', 'x0^2x1_11', 'x0 x1x1_11', 'x1^2x1_11', 'x0x0_111', 'x1x0_111', 'x0^2x0_111', 'x0 x1x0_111', 'x1^2x0_111', 'x0x1_111', 'x1x1_111', 'x0^2x1_111', 'x0 x1x1_111', 'x1^2x1_111', 'x0x0_1111', 'x1x0_1111', 'x0^2x0_1111', 'x0 x1x0_1111', 'x1^2x0_1111', 'x0x1_1111', 'x1x1_1111', 'x0^2x1_1111', 'x0 x1x1_1111', 'x1^2x1_1111'] \n", "\n", "4th order derivative library, no mixed terms: \n", - "['1', 'x0', 'x1', 'x0x0', 'x1x1', 'x0_1', 'x1_1', 'x0_11', 'x1_11', 'x0_111', 'x1_111', 'x0_1111', 'x1_1111']\n" + "['1', 'x0', 'x1', 'x0^2', 'x0 x1', 'x1^2', 'x0_1', 'x1_1', 'x0_11', 'x1_11', 'x0_111', 'x1_111', 'x0_1111', 'x1_1111']\n" ] } ], @@ -178,33 +175,20 @@ "\n", "# Define PDE library that is quadratic in u, \n", "# and second-order in spatial derivatives of u.\n", - "library_functions = [lambda x: x, lambda x: x * x]\n", - "library_function_names = [lambda x: x, lambda x: x + x]\n", + "# library_functions = [lambda x: x, lambda x: x * x]\n", + "# library_function_names = [lambda x: x, lambda x: x + x]\n", "pde_lib = ps.PDELibrary(\n", - " library_functions=library_functions,\n", + "# library_functions=library_functions,\n", + " function_library=ps.PolynomialLibrary(degree=2,include_bias=False),\n", " derivative_order=2,\n", " spatial_grid=x,\n", ").fit([u])\n", "print(\"2nd order derivative library: \")\n", "print(pde_lib.get_feature_names())\n", "\n", - "# Define PDE library that is quadratic in u, and \n", - "# second-order in spatial derivatives of u.\n", - "library_functions = [lambda x: x, lambda x: x * x]\n", - "library_function_names = [lambda x: x, lambda x: x + x]\n", - "pde_lib = ps.PDELibrary(\n", - " library_functions=library_functions,\n", - " function_names=library_function_names,\n", - " derivative_order=2,\n", - " spatial_grid=x,\n", - ").fit([u])\n", - "print(\"2nd order derivative library with function names: \")\n", - "print(pde_lib.get_feature_names(), \"\\n\")\n", - "\n", "# Now put in a bias term and try 4th order derivatives\n", "pde_lib = ps.PDELibrary(\n", - " library_functions=library_functions,\n", - " function_names=library_function_names,\n", + " function_library=ps.PolynomialLibrary(degree=2,include_bias=False),\n", " derivative_order=4,\n", " spatial_grid=x,\n", " include_bias=True,\n", @@ -215,8 +199,7 @@ "# Default is that mixed derivative/non-derivative terms are returned\n", "# but we change that behavior with include_interaction=False\n", "pde_lib = ps.PDELibrary(\n", - " library_functions=library_functions,\n", - " function_names=library_function_names,\n", + " function_library=ps.PolynomialLibrary(degree=2,include_bias=False),\n", " derivative_order=4,\n", " spatial_grid=x,\n", " include_bias=True,\n", @@ -243,26 +226,22 @@ "outputs": [ { "data": { - "image/png": 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\n", 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", 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\n", 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rF8r6uN6s/huqStVll12Gv/7rv8bf//3fY2ZmJvRJrV69GitWrEClUsEVV1yB973vfXjWs56FZz3rWXjf+96H6elpXHDBBX2+e0IIKTcUSg4YghV0nc/t8/ElmD0aKlH1iU98AgBw1llnxbbfdNNNuPjiiwEAb3vb27B//3688Y1vxFNPPYUXvOAFuO222zAzM9PjuyWEkP5CkeSYYZqmc+ljyn2c5b0njGdeQ6/g+bmhzqkqinq9jtWrVzOnihAycFBIOcLh69g3A3h4XoHnZK5GJTwHy7GSXs/m/gN45M3vLiynaqgqVYQQMgpQGDmmjBWmMk/DZTmnYJGU+jq1nlulp4oQQkYWCihHlFE4GQZZQDmYmpM4FVByVyX+sygoqgghpE+YLxBmMzmGAirbOT30NgGWr6MDAdUPKKoIIcQxWb98KaYscfw6DZxIKrEBPPe1uhVJnP4jhJDhg8LIEawyZTueAip5XCaqE0JIeaBYcgSrTI6Pc+dlSn0tc5jNuxZJqfeUtDPptWGlihBCCoXCyQEMtcx+/KBVmYoSUNrYqffb5X2yUkUIId1BseQYTs11f86gRhDIXQVWtLquPKUKPS/x766hqCKEDBwUS44ps1gCBjfUsper5Tpdz+Jc52KpqCqTPMyB+CwCiipCyMBAMeWAUfc2dXPusFeZcoxblICyrihlFGGsVBFCRhIKqByUufI04t4mCQWU2G3z2nbx769oEdUKRRUhxAnaFwRDLR0z6lWmfviYMozTtUjqpQHc+rp5RJ1b8Zl53D5CUUUIKQyKqYxwBV3247mCzm7sARFQgyCckqCoIoSoUBA5poxTcmU0gNse73C6qKicpmFYLdftOF2PWxBe8CZ7BX+wUVQRQiigXFBG0SQZ9ipTkSvoLK9RvqDL5HOHXUD1A4oqQoaY1oa9chvJwbAJqKK9TVnOKXqazpGQUAVUt8JpACMI+i2cDKkCqse3SVFFyADChr2OKbNIKmOo5Sitlksbu8yr5azuoTwCCUgRSSm3qZ7bco7X5PQfISMNBZFjRl1AFSa0ehB06aDakrnClDZ2QVNzscMcVpnKIKCspuccCCifSnwfPVWEDCcUS44YdZGU9fiyTMNludYQZTKlipoBFEkGay+Tcstt5yYJpE7HaeeEBvXgrw2KKkIGFgonxwybgCray1QmATVCBvDwkCETUHlEU+o4bedUEvYhsfLkaULLHMfpP0IGAwooBxT4Go585Sk8Pv8XPQWU2DXqK+hsqk4dz0kQVwlVJ/8adsdVWo6rNJNvLS8UVYSkQLHkAIqlkawyDWJOU3gYq0x2Y6RN03VbZYpVm/zj5EtY0cZQz205bqmq3bAzKKoIAYWTE8o8NQd0L5yKMnZ3M3bRDXtzXGMQBRSrTJbnZvU3OagyVZKEUadrKcexUkVIwVBAOYACKvs5g7CCzvIazgVUHlO45RjMabI8N4+AylF5ah83v4CSmH1Ff/xTVJGBhgLJMWUUS4PsY2JOUwoFV5lcTfX1kOKrTPlX0KUd52KaTq1UCWzHbatULdGoTkYcCifHlFE4GUZcQPU9giBt7MwCyo2oHEkB5WQFHdD2wqRNq4XjJx+XVBUqqsoUW7nntezrcK1W8VVhpAIZBiiMCoQiKdvxLn1MGcYrKtSyPzlNXC2n0W2opZNpuE7ntFaZUqbrKqpYqXS+Vtq0XpdVpqxiKe1cs81bbr8fl1BUETJIUEBlO37Qqky9FlAFGcDDwxwLqDIIJ0O3VSbnAipjlSnVAJ54LbnNUkA1OwuyJOGUJuqS/FiJgoxGdTJosCqVgx68dn0RUEUawLMezwgCBVaeWikspylNQCWIBXUFXcpxbdNqRU3NyXMyCqj4NRIEVMq2tvFbr6v83TUUVSQViiQHFPgasspUsEhyJBoyV5n6ZAAPD+NqObtzk0RSyhe+85wm9RqtP5PFUrcGcPnYSZUpbVyNxKnG4O+sVJGioWhyzLAJqEGpMhXtbUq5xtCuoLO6hy7HLYjSBF0q4iKxwiSOKyqnSdJTAZWxymQroBJjGbRtrFSRrFAkOabMPiag+ypTkWLJ5rheZDLZXs+1WOqDATx22JBVmbo1gKeOkSaSWo/LWmVSxI0qQlKv1Xm8rFUmZwbw1jE63FPhIkmQeA1WqkhWKKYc4Pg1dP6eFF1lKkpo9XsFXco1+rOCDui2ylRUhSnT2AXRbZXJSb+5Ttu6rTKlVHGKXkGn3ks3AipJkCHlOI2iBFR//+kCoKgaCCiWHFPmytOIe5skFFDBrlFdQRc70OLcrFWnTuckBV0mRBCox/VbQInHTgRUDnFjK8gSx025hgaN6iMExZJjylhlKqNIynq8gypTUavlgBwiKfWeknbmEXXFVJn6LZZc+Jg6jtNtlSnHajknOU2p4qLzuEXlNKUJGpsptI7H9bDKVKL/G8SgqOoRFFAOGDYDeOzcgo7vYZVpIHOarK5bHgHVb+Fk6HvDXu0cTUBpAkZeoeBpur4LqE73rt1f6/HacXlEU8o5mccoKRRVDqFwcsiwCagiTeFZjx9WAVVU5cmV4BnBypOTFXRyW44IAnWMJLEgWqJ0XXnKOjWnjZHp+gnX1dCu3zpWyraipukGFYqqHHigkLKmzD4moPvf6CLFkkuRlObhLVgklTLUMlXUscpkdW7WKpP6ZW1XZVK1tK1YSpjqK2qazlncQFmqTCUXSFaLRAv+zqaoIu4po7dJ0osqU9ZzyyKgHAmJNhFVQgN47LBRjCAA3FaZ0r60e1llMqJGacArcWoAl+MkCS71+injahRdZRoCARWj0vKzICiqSDplrjL10sdke04Pp+EAy9exqNVyaWP3SSxZiZoBqzAB5a4ypa2W60uVqd+hlhmn4SRZV8t1cw2NgRNJGcdlpYr0lmETUEX5krIe3wsB5eAaqoAqoQE8dpjDKtPACKiU2yy6ymQtoCyn0LIawOPX6JMBXLs3mypTmtCigGqnSwGljkFRRQqjjNN0ZVxBl/UcR4blrgWUawO47dgFCahhjSAALCtPtlUn9RxLcaWIGlU4tRwD9ElAKeMNzAq6lONynavQj3/mXX0XuPRDqf85zHIz3UNRNeiUubIk6YVYKnGVqW85TUnjp95T0k6KpFbKvlrOaU6Ti6k5bVzxOLNIsp2ak+SYprMSOlkrTB3O0ejlP/dc3wd5Phctxsha3ef0H9Fx+A+j7yvogP5P0zn8omfQpdjFFXR256YJp9bj1C90RUClHNd1lanfAko7N0VUtY3fel1lf9bjWrcNWoUJ6NPUXNo4uf7DmuE6DqCoKgOjPg3XzTllqTLRAN7lPXQ5bkGUpsqUNg2XcFzFUoQMtAFc0nJc31fLdRon6xiO6fr7IGMFqKtxXIqlkkBR1WsooOzO6WrcHJWagKKqTMxp6mLcgihzlSnRxySO6ypuwGWVqRcCKuW1aPtn5LDClOlchX4XVJ0IHtvxcnw+5Ro3gcQ1HqxUDSBl9zl1+xtfZAWqW19QF2MNX9BlfjE5bDlNhp6uoNOO00RF7BqtxyuCRx23BwKqqezPODWnXqMbQaaRNNXmovJUcgHV1xV0XewvqvLE6b9hooLC1LT9PfSwyuT4fz8ufUxAn6bpClstB3QrloqqMGUauyCcVpmyCqRO5+SoMtnEAqRN9fVjmq4Uq+WSfj0GrMpU1Gq51LFzfD71o8rkRNRVM95QRiiqegQFVP4veicVppRrZK4yFTU1ZzO2OcxhlWmQRVPqOG3nWAqopApTh+OSjdIJQqcbAdVUnkez5T46XKPbKpP1uBqplbIuzrE4XoMCym78gRVQfYCiyiFO38huftuLEk5Zjx/kCILCKk95hF4xlafRElBA+AJZTqtljSBQp/qyVp5sp+a6qBRZraDrtM1mXI204woWUP2ehXYtoPoRQZDl3MLGczmtyOm/bHz961/H9ddfj+9+97t47LHH8OUvfxmvetWrwv2e5+Haa6/Fpz71KTz11FN4wQtegI997GN4znOek/laXsVh9STx3IKOL5NIsrlWr8VStyLJRYUpwzjW4/WQbr1MTnxM8rGNj0kcp07Nof24wqbpknxM4rG1ATx279q57dfousrkQiB1GkdhIKpMLipMaeOMapWpyzGKrmIVPLvYe/bu3YvnPve5uPHGG9X9H/zgB/GhD30IN954I+69916sW7cOL3vZy7CwsODuJipe+5/E41P+ZD3H9vis9255n0Zsyj+p1wj/dB6/kvKn23HTX0dP+WP3ulYqXsc/8QOTx2kldbyC8bxK4p/oQOVPwhj68eJFCf9Rif1N86cS/vHMHw/Rn6b/xxxTif0BKi1jhH8a8g+CP9G2ivYnGC/+J7iWOC4aA/4fcbx5XtoY8v70a3X+A21s7aNKvMZtx8nxtPfMnJf2UZjw70OS9SPVBamfYxoJv8PaePrnY8I4KZ8TiWNn/IxJHdfqszN5f+b7zTpGp/sokKGrVJ177rk499xz1X2e5+HDH/4w3vnOd+LVr341AOCzn/0s1q5di7/+67/GpZdemu1itoIpdZxsl810js2nT8pYuQzgltdwGmqZ+toUXGXq4v3sd5WpLzlNaZUNF1WmpHtKqWxpFZieGsBbx88yrkbRVaYSV5iAPlWZ0sZI2F+a1XIZrll0lSnLvbQfb/uLko+hE1VJbNmyBbOzs9i0aVO4rVar4aUvfSnuueeejqJqcXERi4uL4d/r9Xq0s6Bf1K7OcfBF35cVdGlj5/nQyiGgrIQOBVSH41v/C50yvraCLuE4fQorWei0Hpd5aq7DuE6m6dTj2+8pq4Dqh4/JegzH5JrW6YFY6KWAKtrH5OoazgVUCSwQIyWqZmdnAQBr166NbV+7di22bt3a8bzrrrsO1157bfsOV1Uo1/9gKKAyn+vSDN5v0SQpVU5TuE8RUAmVJRcCKjZOSQSUus1W3KQdN6TCSTJUlaccgrCoypNrweO88pbxH174K8npP/dUWr71Pc9r2ya5+uqrceWVV4Z/r9frOProo+3mZ61ElYMpROQQSUVNzaWNnXjdPKLOrfjsauyCsKoyuRZLLqpMirhJEyFODeDKeNaGbWUM7VwnVSbt+h32J20bCbFk86vgaqys4sPBF3eucXtQFet3lalrUU1R5Y5169YB8CtW69evD7fv3LmzrXolqdVqqNVq+k7X6trJ/xwKqjIVJqCAbqtMIyugck3NGVKOc1ll6rOAUu/FtYByVWWyGLeba1ifWzBdVQpcCKgcn099qTIVVRXLcg2b8bp6P3skoPrASImq448/HuvWrcPtt9+OU089FQBw8OBBbN68GR/4wAeyD1iBkypT+odBH6pMuf43U74qU6kFUuzALs4Nz7EUU4qAKLzKlHUaLmVcJ1WmlKm5tvFbr5v1OItteQRS6jgFUZSXqWgfU+o1unheRXuZXFSZ+l1hynQPbdfq8jx5LitV2dizZw9++tOfhn/fsmUL7r//fhx22GE45phjcMUVV+B973sfnvWsZ+FZz3oW3ve+92F6ehoXXHBB9ou1/mOigMp07rCtoDOUuWGvfw3luKKrTP0WUNq2tGtpJFbKMh5vOb5G6afmDK6mkroUK0WtoEsduyihZzlO4SvoMtCXKhMrVe74zne+g7PPPjv8u/FCXXTRRbj55pvxtre9Dfv378cb3/jGMPzztttuw8zMTPaLVaB/txU1hSYPy3qNPkzNxQ5z9Lytx+sR9lUky3PTBJRlRSm6hnKewxV0sXFcTs2Jx90YwNv2Kdft+wq6TuNkHaMgXH8ZDtoKOuux+1wp63flqchVl4WdWyAVz1ML/ySBer2O1atX46iP/BGqK6aiHV1WXgpbLZe6P09VbESn6VyLpNbjclSZkn05BYkleU6eqlC3q+U6jaeRNNWWcdpt0HxMQJ+qTDk+n4Y2p6kX4lM9vgdiqSRVpqR7bx44gK3veCfm5+exatWq/BdrYegqVT2l4llXhVKFkxzTYjyrfQC6FU4jawCPHZhxjCQBlfYl7LLKlHVqrsP9Oa0yWU7N6ddPGLcTRVeZKKCyjzFKAopVpp6NUXREQlYoqvLQYfqPK+i6GLsgCjOIh8eniKuEylNhQZf9FlBynAQB5SSCIO24PAKqxMKpyC/DoszWg7aCztk1bMboYryBEVAORU/ZBJQGRVUOKhWgUi1KJHU/7shOzYUHdjFOt1WmpApTh+O6XkEnjksSJH03gKN9nzquRtpxQ15lcj3l0recJttxEyi7ed3FVF90XPZ/bH1ZQVfEOAGFCabWcQsWZhRVeciy+o8CKhOljCAA2qtMCZUooFNlp+Bpul4LqITXwlYY9avKlDhGQZRyBZ3lceo1Slxl6qmAsh2vlwIK6P79GRTRJClBJYuiKg/V4E8b3U3DxQ4bstVyffExddrvssrUbwO4ct1cBnCJyyqTiwpTp3EUWGWy2Jd2jRKKJU7D9elchcJFUgkEUjdQVOWGVaZWivcxAYlVppTqkdMqU58FVPwaGQWUbQVMkvW4pP9f5BBQNIDbHVfUSrK+r6CzGMf1WP5xPRBQLsTEoAkoyYCKKQNFVS7sp/9GNujSdeWp9bhuBJRNBIEcJ0nUuBZQTWVb2rkJ13cZQdBxPJvjLcfXoICy2z90OU2W45QlggAo7t9M4WMIhm6ajp6qwaFS9fIZ1bXDh63K5FAkqVNzynEVVVQUNE1X0Gq5TufaVJmc+ZiyVoookroeozSr5dLG7uFrMpBVpvBafTo3gaETS/28ZgIUVXkZMNEk6bZhb8dz8wiolvFsvU1plarCpuma2r72MRLFl3YNF1Wm1OfQxTkWx2tQQNntHzQB5UrwlKXKxGm6LqCAUqGoysnAiKTYgRbnZRVInc7psspUVNxAbL+LKlMZV8ulFU8HrMpU1BdekavlBs0A7uwaNmN0MV7hIsnVl7XDL/2hF0itlOEeHEBRlYN+CiqnVaY8AirHCrrEKpNrAdW0Ez9Zq0zdCKiiq0xcQdfF2EX5gkoooErtYwKs/+ENW06TYaRW1fVkSjLrB2Q+KKpKSm+DLpOnpjRhlJgG7iKnqd8r6FLOZdBlfhhB4Gi8PK+Jy8pTQVUn6+ur1+ryvKLGQY8rUED/RVRfpgn7V/CgqOoxfV8tJx8nVZlSqkK6CHBXZaoolSXnBvDYvWvnJlxXI3GqMePxGa6ReYyC6IuPKW2cHgiOzGMXJeosx+n31JyEq+Uy0m+BJBkxsWQLRVUBlD3osq3KZCt4emEAL0pApY2HhOM0bCpWKdvyeJtSxykY11+Gg1ZlciZMuhU/w+ptil0rx7kuxxCMrIAy9OueHHzIJaTROIWiKgeeV4mLn6KrTJqAiF2j83GJVSZHYqmnBvDW8W3H7UTRVaYST8MBfaoyFekL6vLDv8i4ARdTaBRJDsZQGNq4AVvKcG8OhVM/oajKi/LvIFlAWYorRRgl+pjEcZmrTBmn5mL7C8ppsjaAI+U4jaKqTEljKAyLgHLitxklAcUqU+/GEPTlC7cEX/IhpboXdx9+ZRBSEoqqHNhVqlre8VRhoAgoTcCY0R1M0/VbQGnnFhpBMOTCiSvoHI3bA1+SUwN47BwKqJ5Rsi/1Nspyf44/DMsmpgwUVXnwKvGl+uH2lmOQUmVSptV6mtNkWxWynOorrMqUNIWZMq4kj1jqt0/SZZVpUHxBzsazuF5PV8vZjtfL1XIARZKhjF/aZbwnSZkrUJWWnwVBUZWHJtIFlE2VqZcCShmvJwLKRZXJhWjqNI7CMFWZyj7V5XzcXojJIsYbFAFV4BcTq0wKZb7PslegevzaUVTlwavAU5f+t1eeEqfmYmMq+4yAarYd7SSnqZsVdPr124/ruvJEAaVDAZVpPyMIur5UMeOgj9M2ZRYmkjLfZ4EflE7/XWgTSJX4z6KgqMrDcgWVZSmSLKpMLuIGxGMnVaY0AdXDKlPW8a3P7QHMabIcuyhRZzlOYcKkF1WmEk7NGSiWFMp8b50o6AO0sH8fCQIqfpyNxyQ/FFV5aFT8PwZNVDQVQWT2WUzNxY9D23FOqkxp42okHdcDb5PVGAVCAWU59qAIqIKEE71NjhgUcTIo99nKAFegUq/V4y8JiqocVForVWZ7ktApUCx1LZJsp/WynGNxvMZIiaSiprWKEkhpY5fJx5T5/RwQsTQMVaZBFB6DeM+tDEEFKvW62nOstPys5rgnCyiqclDxkL2dStapuZZzOo7b6VwNVpmyUWYBZTN2EeP2wHvlvMoUHm/3D49VJgcMohgZxHtupQcfrn2fzguPl1+qCeO1/iwIiqo8NCv+CsAAJ0nhlqKq7wKqxMKpbzlNtmNlFVD9mJrLcN1SCqhBqTy5HEPAylMCg3a/afTwQ7aXK/MyV6I6bQvFFD1Vpae6BFSr2apMha2WU67VadugVpkYaulo3B5UxZyGWvYyZsDVl4bDLx/6mCwZtPvthiGrQCVeN01AJVal2qtXoYuG038lplmJxxzYVJnKIKAy/l6WWkD12oMzCFWmHr8mIymghsHbJBlEQTKI95yFQRZQEpfVqFRR5bXt81qFFitV5aWyDFTGxN8tRFJhFaZO4yiUWiQZ8lSAbMfpYZVpUNLL6WNyMIaAIsmSQbtfVwzy1J2GSz9U0hSe2BYbXxFVFfO46u+rjFNUlZZKM10kOQ21LLFoAor7QuybL6jL51OkAdzqGsPsY3L5xUAB1R8G7X5d0acP5n5M5znxQ6WIpbYKlNhfqSpijZWqAcBD8kq/1mNbGFRvE8AVdE7G7UE1rt+Vp8z3EbtGF+cUMYaAK+gyMsj37oIRElIdr2s7nde2z64qVam2b4vHJpjj4j+LgqIqBxUPqDT07W2UWCSV0gCectyg5TRZX2OYq0zhtXKc63IMAatMGRnU+y6CYRNOhjwCKq3yb3FubHwjiJRtWkVLCqc2MbWk9HtzCEVVDmym/xLPZ5XJav+gCShXgodVJgdjKDBuQEHep/bPY1CeR9H060M7YGAqUNo2bTpPXqPasi/BFxUfN0FAicdjY4GYGqOoKjcUUNnHKIuA6sX0Wj8qT71cQQeUUkBxms6SPL8Xw06fBZRkYH1R8nFGk3miL0ruF2NUx4yoioRTNTjO/PQ4/VdeOlaqCqKoikHZk7Wdj1twlamwChNQfJXJ1Yc3q0z9ZZDvvR9QQCnHF5MTJfcn+6HSKlDB4aLyFFalhKgaD/abSlWjsazcuDsoqkpKKX1OoyagXAjSDGP5xw1ITlMR44Depq4Y5HvvJdrvVt/+wfXw8i7FVEZfVOwaUhBp4qtl+q+iTeuNRdvCCpQQVUZMjY+1i6rxYF+jqhihHUJR1SP6Mg2XNk4PprUyj12UqLMcp98+Jk7D5WDYxMWwPZ9eYvufk2HIicr6udjDKTygez+UFEutU3hAVHkaH4tEkhFQk2JbbcyvTE0E25YbiygSiiqH9E042YxXJgFl5QvqYtws46eN0cV4XEHndjxrBll8DPK9l41RmMKTFO2HShFLXedEoV1A+Y/NT18YVWVVqtJiNkckpiYVUWWEFADUxv3H0+NLAICliSUUCUVVDryK+y/moTCA247dw4oRBZSDMQQUUJYM2v0OEiUSUYZSxxxoYzjwRcWqUpljDuS5cTGV5IsCgIlgGm9yPBJVk4GYmhqPRJURU1NjgagaP4gioajKi4spKddiqV/+JcvjWGXKca7LMQRcLWfJIN7zoDKKokmSR0DZVqBazxP7U3OitKBNm5wo2PmhpC/KVKPGlWk9I5oAYCrcFgmnleP+dN8hY/7PxWVWqspLyz9OGsAtxnU9huV48eO4gq7nDLIYGeR7H0RGUUy5qEB1GqdVTKWc5ynVJqc5UXKbUo2aCCpPE2LfZFB5ktN6UQVKbjMCql1UzYwdAAAcGKeoKi1eRQSWdaKHU3JFV5l6mslUkECyvn7H6+U41+UYAoqkjAzyvQ8DJRRNkqESUPLcPkzhAfZ+qMlQTPk/V0ykVKAC4WREExBVo4yAAoDVY/ti2/Yd5Oq/8lIBq0wFjaEfPyACqsAP5TJNP5SaQb73YaWEYqosv089zYmKVZY6H29rLM+aEwVEYmpirLMfSk7rTQcCasVYtG3VhC+SDhECyjxeEwgpAJipmm17/fHHKKoGhqESUP3yNoXHM4KgpwyDCBmG5zDIlFA0aZRFSAE5c6K0a1is0svagFg+lucaMRWLPgjGk34oM503njKdN9XikZoSAspUo1aNSwGVVJXaH25bU/W3rQrElZxWLAKKqhx4VYvpv9Zz8kyh5amKZRjHaqyCq0x9E0vDIJKGRVwMy/MYBgZEMLUyFNEG8nFSzzy5P8kPZT2t154JFdumBG269EPJab3V44FYqrYLqFVCVM1UfTG1phqJqpWV5WCf//eFcYqqgYZBlw6ur14jx7kux1DouZAaVPExqPc9KgyokAKGRExlrEDJ/bFVeqGY6uyfiq3MMxUoZbWe5ovSVulpOVFxAWWEk/RIxVfprR6PhJE+refvX1WVoupA8DO61kzwfKcrvtxpViiqSk2RlSera/Rrmm5EK0+GMk0hDBzD9nxIXynT72Lf08stqlFJgZtAZDKvVtorVRMiE8o2JyqryVyrSq1RpvVmKv7+VdVoDCOmpoWqNGKqFv6kqCotXhXpvyCt5ziaVmOVycEYgjJ9MJeaQb73UWeAK0+Gfv+epn9+WwRtplWxEgRULj+UEUtaVUpcvzXaAIj8UJNCLJlq1JQyrZeUEyUfJ/mhjBcKiKpRM9Vo3JngnqbEizJdmfTvF2PhtolKXOZMVGhULy8V5JumY5XJ/XkW0OeUkUG+dzKw9FtASZI/x5WVc9rfk8SUnNYrKCcqawPieNxBurHc3+Y/lhUoYy6fSV2ltz+2bUZUoFZVfDE1LZ7XdMUXTlOVSEAZMdUqpACgiWbws9j/XFBU5aHS+r+J9FP6LZAy3UPbtbo8r6hxwNVy1gza/RJ7hqACJRmqnChnDYjd+aHGYzEG7b4oI5xqCa1egMgPtVKpQNn6oeLVKP/c6WBacUY8VyOcakIsTQTbqqJUZ4TTkhfd+37Pv+d9nj/uQoPTf+Ulb6VKjmN1vQERUMPgY5JQkJB+ov3e9+2XwS1lqUYVlhNlayx30IAY0PvmGVE10RKuCUR+qElZgUoylitJ5XJaL6sfao2oXq0MpuWMH2paCCgjpsbEVJ8RU0ZIAcBSIJwWhaiaa/qP55v+GHsaxf6jyyWqlpaWMDExYX38tm3bcMwxx+S5ZOnot7dJ0pd2KhRQ/WcQ75nkY4CrU2URUkDxOVHOfVFKTlRazMFYy3SeFrgZm8Iz4ZuagBJeKVOBWi3FUvB49ZisQPnbZmKr9PxxZoS/aWXVf3I1tFeljJjSq1LRGPuCqtR8M9r2ZLMGANjVOMQ/ptEAsANFkUtUnX766fj85z+Pk08+OfXYm2++GVdccQXm5ubyXNIZH//4x3H99dfjsccew3Oe8xx8+MMfxkte8pJMY3gVxJeuJtELH5PLDysawcvDsD0fEmE+F8wvyACLJUlZft97kROV5IfSow3a78VVTpSNH0o3lsspvPaVeTOhgNrXtk2b1rP3Q02G22oVv0BTRXv4o5nOW0Qk/haaRkBFx+1sTAMAZhurw22PHHwaAGDb4mH+GHuWAPyo7RquyCWqvv/97+P5z38+3vOe9+Atb3mLesyTTz6J//2//ze+8pWvoGKtQIrli1/8Iq644gp8/OMfxxlnnIE/+7M/w7nnnosHH3wwWyWt09MZBCN43nMV+j4j0e/rZ2XQ7pcUxxCIqTLls5UmJ8pRA+KsOVGyGrWiJWhTrswzHinZgHhV4Ic6ZLw9/0mKKiOm0nKiVgbPW5vOmxAm81YxJX1RZjpvT2xazx94V2NluO3R5UMBAI8cPCzc9vABX1Q9um+NP+7e6LkWQcXzvK5/m9/97nfjuuuuQ7PZxEtf+lL85V/+JY466qhw/6233oo3vOENePzxx7FhwwbcdNNNeNnLXubkxvPwghe8AM973vPwiU98Itz28z//83jVq16F6667LvX8er2O1atX4/g/ei+qU1Nt+4ctbsBQlv99lpZBvGdSLEMgljQGWkBlnMKLXSOjH6qbBsRJU3i2fih1RZ6aVB4IqLF2YRSrQCkxB2YKb6WYwnPphzJeKADY3fSrWGYKDwAeXfKF07agEgUAW/cH2/YcGm7buTADAFiYX+Ffc/8BbL/0WszPz2PVqlVwTa5K1R/90R/hvPPOw4UXXoi77roLp5xyCj760Y/i1a9+NX7v934Pf/EXfwHP8/C6170On/jEJ7BmzRpHt909Bw8exHe/+11cddVVse2bNm3CPffco56zuLiIxcXoH2K9Xgfg/6L1xcfkchzQv5SLYXgOJB+tU3hDTL//Y2UdbaCNYWMsF9tc+KFcNyBOy4my8UMdEsuGCqbrhC8qbP9Slf3zzLReNO50EKJpvFCA7odKijdI8kMZLxQAzC774mfHUiSWti36Yurh/ZGoenSPP+33eH0m3La/7hc+qvPBfRwoeU7VC17wAvzHf/wHfu/3fg+f+tSncNFFF+HNb34z5ufnsXr1anzsYx/Db/zGb7i4Vyc88cQTaDQaWLt2bWz72rVrMTs7q55z3XXX4dprr+3ugqw8+Qzy980g3zspBvULfLiqUmX6fLASU7a+qJRzw2tJQaSJr2r7tooRX2NK3EHGnKi0BsR6/7zOSeWtieWArErtbdu2SjOWi3vqNicKABbDmAM5nee/Prsbvgh6dHlNuM+IqYcXjwi3bd8XTPXtifxTu+p+JWtxPhJkY4GYmpzz38TGYsaGvRlxEqmwYsUKfPSjH8WWLVtw++23Y25uDmNjY7jllltw1llnubiEc1r9XZ7ndfR8XX311bjyyivDv9frdRx99NGwiVRov3DG41Po+3+O+339bhjEeyb9Y8jEkkbpBZSNHyrNWJ5QgXIVtNmaE1VVzOYyJ0ozlms5UWqrl4ScKOmHCqtRLeGagEwqlwLKv9ZK8ZpMhzlRkbFcy4kyuPBDGS8UAGzf6+/bsSearpub989tzEf3ND7n39PK+eheasHj2pz/Wi8vDUBO1Q9/+EP85m/+Ju6//35MTU3hmGOOwY9//GO84hWvwA033IBLL73UxWWccPjhh2NsbKytKrVz58626pWhVquhVqup+1LhNF1/GeR7J8Uiv3C1Xy6KKbe4NpYniqo+5US1iCnNWD6piCqtAbH0RRkxtUKEb84EwknmRCWv0vOrUSYjCogCN6WxXPNFGQGlGctlBarh+Y9N4CYALARiancjGm9n4I3asRxN5xkxtTWYztu6N9o3G/ii6vPT4TZv3vdZTc6JljRGQMVEVfAaz/mv+/Jyyaf/PvKRj+Dqq6/G/v37ceqpp+Jzn/scnvnMZ+Id73gH/vRP/xRvfOMb8fd///f4zGc+g3Xr1rm451xMTk7itNNOw+23345f+7VfC7fffvvt+NVf/dXsAw7D1Jxk0ETIoN0vKSf0RRWD66qUA1+UlkpuH3Mgz003mUtRZduAWE0vtzSZRy1e5La9sW2x/nmByTzNF5U1J2pB5ERpJvPtS4FwWjw83LYtMJk/stefzputR1WpvfP+lGBlPsrFrM359zIpBNRk3ewTCfHz/ms7Me+/dtXl6LUpglyi6pxzzsG//uu/olqt4uqrr8a1116L8XF/yOuvvx6veMUrcNFFF+Gf//mfccopp+DjH/84XvOa1zi58TxceeWVuPDCC3H66adj48aN+NSnPoVt27bhd37nd7INlOHDiSIpI4N636R/aJWnrNWmIalOlUU4WTcgduCHil3LiCBNVClm87ScqG775o0r03rxlXnatJ6WVJ60Sq/dD7VGGM9bc6KmRbVpyqIBMRAJqP1edE/7wlV60eu0K/BDzS5HPicjoLYvilV6e30BtWNvJJxa/VDjc9F9TM37b2SsAjXnBduE92zef23H69F9VheC12yvLzi9ZokjFarVKp7+9Kfjr/7qr7Bx40b1mIWFBbzpTW/CX/7lX6JarWJ5eVk9rtd8/OMfxwc/+EE89thjOPnkk/Gnf/qnOPPMM63ONZEKx723gEiFrAyL+BiW50H6hwtRNcCU6XOnsJwoeY1Wo7gjX5SWE5W0Sm9CVJ4mgv32xnIjoNpF1Uxsld6+tm1RVUokmgfTeUZI+duCa1n2zzNovihpLDdaxgRuAtF03valKCdq+4Eg5mBftO3RBV907a5H5y6HYsq/p8n56A011ajafPQ+1eaDTK75SKSOm2rUnug1wT7/sRf8XPYO4v/N/1VhkQq5RNUll1yCD3/4w1i5cmXqsV/+8pdx6aWXYufOnd1erjQYUXXs+3RR5YRBFhmDfO+kPyT1t0vrfTdCwsnAnKhov+spvGrFzg81qfTSWzHROWhTm8Iz1ah0AeXOD5U2hWcE1IIQUMYPtVNM4RkBFZvCCwTU9r1rwm2qH2rOr5BNzkf3MjkX/DRTeKICZfxQE/Xo9RwLKlCVhcg/hv3+Nm9/9Dp5QRxSc8l/PsveEu7yvlzOnKo///M/tz72137t13DGGWfkudzwMogiZBDvmQwPIyikgPJUowprQCy2WedE5TGWKw2IXfihTE6UNJavmjDG8ugL/xC11UvnaT0XfigtcHOfNJYHfijjhQKA2UZ7TpQRU8YLBQDb9qwBEAVuAhn8UMHjqcAPNVmPXlcjpqr16LWrBNN5kALKiKqD0etkxBQCE334syCcrP6z5cgjj+zl5crFIIuQQb53Ul7ShNGICidDmXyYXYduOqpKVVqn+gDhjUqoSskKlNZTT/FFmem8tJyoKdUjFaSXKw2IV4VBm1pVSgZtau1fAl9UJbonI6ZkVcomJ2pRCCgznbfQjMY1oZsmcBOIfFHbpC8qmM57dG/kn9o574upA/VotXw1XKXXPp03KabzWsXU+LysSgWvz14xrRcIqOb+aJt30H9uXkOs8CtYRLXSU1E1dFQwmIJjEO+ZDCYjtKouD2WpQAGWVShbY3kPc6K6aUA8EU7hdRO02dkPZQI25Sq8MKk8ZjY37V8iYbCyshzsCzc5yYkyAkprQCyjDYwfaut+Ma0XBG3uWIiE1lML/rnLc5GAGp/372la80PNtfuhJoUfaqze4ofaJ8SS8UWJCpR57AmjfCigREmzMu6LuspY8Hp5VSCagXUORdWowO80UjRJlaURrzp1oixiqjQNiIFITKXkSVVaVuRVldV6tg2ItZwoPalceqTSV+nFp/X8fbICZcTUtPBlzQTPVSaV2zQgBiIxtShElQndfLLpHx8L3Aym8x4RxnKTE7Vd5EQ9FoRuzglfVDMI3ZwQOVFRBSq6p9acKH+/L6aMLwoAKntbVukdiF5X89hbjkRYrBoVDuI/RyOgAKAy4b92lUn/fitehaKKKFAkkX6SJpJGcPWdRpmm8Az9Ctq0mcLzj+vsh0rqm6c1IJbG8onQbK5UoKQvSjOUK33zbPxQM1qrF9GA2Ezh1cRXsW0D4qjVS5ofKogvWGo3lj+8zxdQj4gpPNM3b199RbitErZ66WwsBzr4ocyKvIXo9Qz9UGI6zxjKTQUq9EIBegUqEE4xARUIJ0xGz78yETyuBaKquQgI0ecaiqqyQtFE+o02dWcrkiimek9WLxRg74dqE1U5jOUJDYjlY80PJUWVWaWnRRuMt0QbAHoD4tBYnpITlbxKr7MfKmYsD+4pnhPlP7bNiUrzQ4U5UY1IJJlqlPFDbRXRBtsDY/kT9WhVn/FDVeciYWLiDYyQAqJ4g1hO1FwQtClzovYEr9meSHx6gQ8qVo1q9UNJL5SpQFWjf2ThtN6EeL0CMVWRHVCMwDKCq9hAdYqqUkABRXqJrc+J1aZMlGUqD8hgLLedzms9V1allEgD6wbECTlRsek8syJPWaWn9c/r1lgOAKuC9i8zqVWp9l56rTlR0+I5aA2IaxX/C1+byrNtQLyrEVWUTOimMZYDwMMH/MrUI0oD4ifr/lSgbEBsQjdTc6LmjC8quqfxoBpVrXfOiQJEVUpUo9rEVGpVKhBQk5HPzFSjENvmH+eZn41iP88oqoqAIokMAiMelpmH0guoov1QUkAl5ERpxyU1IJaPs/qhammtXhIaEBsvlL8tQUBVZTNi/9wkP1Q3QZv7QwEVjRv5oaKKUpIfyiSWA8Bjgbm8Pu+Lr6ZoQDwRGMsPmYvuJWxAHEsqV4zlYU6UXJGnCChTgbL0Q1WNIBqPXjszhVepCbFkjhPbvEBoeVPjYpv/uDnpP9ei88cpqvIwqKv/SPnIukouqRlwWqPgtPFIjKH1RcltGVfpOWtAHEzxVcW5Y2pSeXpOlGosV1bmxY3lWq+89mk9E7pphJR/TlD5Ei57E29g64syOVHSWK41IJ5t+D6nR4WA2nYwEFAiJ+qRIHTzcZETtRCIKWiBm4qxPPRFiQrURN0Yy6PXpKKt0rPJiRLEKk/m8XjcWA4IMTURTUliyq+ueTUhoIJqVHMy2tacDF73mj9+Yzm6ZhFQVBEy6LQKshFPG3dFWapRznxR2rW6NZnb+qLEcVXLmINuTebTmoASXilTgVotxVLwePWYrEAFeVLWJnNtlV5nX1RaA+JdQU5UrAHxwfacKBO6aXxRALBzwT9HmsyrwXTeRCCmdF9U9J4YMSV9UWP1dl9UmF6+KH1RlibzwBuVZDKvSAFlRJXwShkx5UkBVYtXpQCgUQtEVSCuGtX2SqFLKKoIGRaYCdU1pRZQWafy5OOUcxP9UAnVqKIaEAP2fqjWnCjpi5oJBdS+tm3atN6MqEAl+6Gi6kmSH8pM5y0LV/RC0793mRP1ZNM3lj8qcqIeCQWUqEqZoM2Fdj/UQemHCqbzVihBm5GAktEGQdCmSCoPGxBrOVFSQAXCSQ3a1HKihKG8olSj2vxQtUhUqRWoKf+5Nic0ARU9/+Z4JbZteYmiipDRJut0HqtTVgx0/zxtm/OcqPbxivJFTQhRtUIN2jwYbItElRFTq0w21LisLLWLKhO6KX1RUfuX6Forg+ctk8q7zYnaEzOW+wPHcqICMfXIQa0BcSS0TOjm7np0biMI3TS+KKBTzEFcTJmpPAAYnw98UXuj1w57/DiI1JwoE7qprdJLyInyH7esyAOEqAoEVExUBQKq1j6t15gQvQwD4dQU2xrBsKG4KvgXn6KKENfYNgDWfrnZusUpQ+GHcjSF59IPJRsQJ03hyWbDxg8lp/Bc+qFiFaixdmO5mcJbKabwtAbEWXOiFmPCyaSW+2PMNtaE+4wfynihgMgP9YhsQFz3BVTohQLCvnkTIidqRViBCjeF5vIkP1TohQKilXmyf17SFJ4gWpEnhFGSH0oxmSf5oYwHyt8Wn8IDgMaEEVCiKhU8boiZQyOmvOBSjXGKKkIGC1tPEwVSYZRlOk+Suf2LA2N5rpyoBD9UWgNiU4FKy4ly6YdaJVq95GlAnNUPNd+Uq/TiffNkA2Ljh3p4fySqHg3iDUzgJgDsr/tTgtV5cU9zih+qHlSg5sTrXjfVqAQ/lBBQYd88sSRONZZnzYmy9UOJapTxQYWG8klZgQpElRBQDVOVEiIp0LKxbd54y76CWwFSVBHiGrXqQAFVNGUSUl3nRKWKqoSqlBRGtjlRRnyNtYuqpJwozReV1oBY75+npJer7V+0VXrx1HKtAfGMuCctJ8qmATGQnBO1OwjcBKLQze3BdF68AXGQXi5yop5Y8KfzDsxFY4yZ9HKRE1WbQ7BN5ESF7V/EdN6C/7zVnCibwE0g2Vg+LpLKtZyocFpPWaUXM5QH0QcxQ3kgqibbfVFhVUrzSom3TtvmjSG2ramkObiEoooQIH3KrtNxXGnXU8qSVC5x6ofqYQNioHs/lDSWazlRkbFcVqA650RJP5SpRs2IytOasBrV7psyfqiV4jVx0YC4Gz/UwwfiffN27IkaEM/N++c2RE7UeNA3b2VsCs/8lAIqqEDNR6/neFCNik3nWfTNS8qIAjoYy03fPCmWlJyozH4orRoVCKOGGDYUS3Jabyw+redvQ9u2cFG0EVesVBHigG6ym8ho049Veo59UXI844OK5UQpVamxMKlcZkLFRZXWgDi+Ms//8l8hwzcDAbVKGsoTV+ntjbZZ5ERNK0GbmrFcVqAaQVVmv+yfF4ipuWZ07uyyPz23I7ZKzxdTW8V03vZ9a/zj6iZwM2pA7AW+qEnRgHhC80XVA+Eaa0Dsv56xBsSm/cs+2f7F5EQJQ7mFmKrKKTzNF5VgLPeE0DKhm7IqFVWghEcqrDwpHqlwWi+6lDatZ7Z50bDhY0/o5vBtrLYfXwQUVWR4sI0UcNm/jtUpp5TJWG49haeN0a0fqocNiIHu/VC2DYhXxTxQpv1LtE3zQ60JYw6iqsx0xb8/6YeaDqpQ2afwIsFh/FDGCwUAs4Fwkn6oLYtHAAC274+2mXyoXaJvXuiHCvrmxVq9zPk/a9oUnmz1YgTUHrkir7MfKiagkvrmGWO5nMIzYko2IDbeJ6UqpRvLhVjK44cKLhcay4X40QRUUxFJniacqvF9rFQRUibYzqUQyuKHsg7atK1ApZzb6oeKRRtoxnLjgZLia6xdVOXJiRpvaf8CtPuhbBsQGy8UIFfp7VW2RaJqZWUp2JffD6U1IDZeKCDyQz26vCbcZsTUw4GQAoDtSt88I6a0vnkTgZiSFSjjh5qSxvKg7cu4bECs5UTtV1bp2eZEtfih5BRea+Bm7PGUMJaHK/JEVSoQUw11lV5+P5QqquTvzlj7cWGFqtq+rfVnUVBUkf7Riyk5W/FjK5YoppwxajlR4bWUqbs8vqiK4oFKqkrF278EoipllZ4RVa2Bm0AkqmQD4tVhqxel/UtslV68AbG/Lbhmxpwo6YsyoZsmcBOIQjd3NqIpOWMsf0TEHBhflAncBKLQzd316NzlQEyNi5yoWhC6qTYgDn1R0lgeNCAW03qhL0oKKNOAWLR/yZwTZab1hFgK277Iab0pM60ngzbbk8rDqlRKTpSpQDVk9EHSKr0EsWS9LfYfkZZ9BX/uUFSR3pN1dVzW34JuhA/FUiGUaTrPUOacqLRoAy0nyvTN04zl8QpUux9qxUTCiryEnKh0ARWszKtE24wfSgZt5vFDGRFl/FALQlSZvnk7G1Flyfihti4eHm7bFgRtbpc5UUHfvJgfSumbtzIUTuEmsSLPRBtEr2HUgFhp9aIJKFGBsmpADNj5oWQD4imzCq99ZV4zNoVnzOaKB0pO4Tn0QzUTpvDk45iASqhGeZXO+1xCUUW6o5ctUbRrUQSVmoFYpdeDBsRqTpR6XHrgJhCJqTRflE0DYkBO60lDeeCHmoi+6E1O1CFqq5fO03rd5ESZ0E1ZibLpm7dbLA2bbbTnRBkxtS3WgNgXXSZwEwD2zvtTgiZwEwBqJicqNp0X7BN9Z2ph3zwTbSCM5XvbfVEuGxADkZiq1NoN5aEvakpO4ZlpPbkyLx5tIB83tKDNyXaxlFSBim1TBFGrsRzQDejh44qyDQnHUVSRUuLiW5Miaagoiy8KyGEyz+OLcmAy76YBsZnOS8uJ0vrnGTFlazKPqlLSWK7FHQT98yrRPRkxJatStiZzI6aSTOYmcBMAti+1NyA2JvNYA+J5vyp1oB5NiVXDVXrCZD5vfkbvhfFGTdYTTOZKA+IwcBPIlxPVpck8KXATiEzmMVGlCigz1Ye2bU5M5ilVKU1Ute0T+z3td7wAKKqGEVuvkm02U7fHp91TViGVdjxN5D2j9ALKxg+lCage50S1+qFsBdREV0Gbnf1QmqFc65tn/FBrqtJYvhzsCzc5yYmSQZuaH8pM520P2r+YnnmA3oDY+KGWY8Zy/56m59sFVMwPFU7nyb55gR9Ka/tifkoPVPDYa8rPwowNiDU/lNw2qUzntfihYgJqQmlAPGEypKJhk4zlak6UCz+UVoFS/zMTbdN/Z+PbOP1H8lH0NJ2t0MlyDikVQ+GL0rbl8UXJc8NMqGT/VEVZkdeaE2XbgFjLidKTyoWAUpPKg2bEKYbyVeF0XnsD4pngucqVed02IAai0M0nxdyQCd2cFav0tgbmcpMTZQI3AeCxIHRzTviimkHo5oTIiYoqUNE9tfqiAGBiIVilNy+n84LHeyPxGYmpoAK1rMQdSBw0IPakRyoQUyYvCojEVJgXJafw1Gk9tB+nTeu1JJXLbar3KcVQ3rpyL0kYyW2p03+tx7FSRRLRKkDatFrScbEvA8cirJcCimItN0MjoGz8UN1M4VlXoPyfWXOipLF8IjSbK73yZNBmQk6UFEsu/VA18dWRtQGxnMLT/VB+lSnND7UtmMbbGRjLjRcKiPxQk6IBscmJmqyHm9QpvAlTgVqIXs/QD7VXTN0pK/Js/FAxAaVEGoR987QGxF34oRq1eE6UFEYN1VieUIGS27rMiYo9ThBEiVN4KdtiBL+rUaWq2O8JiiriHnqlBo6yTOdZ50Rp4yUJKXluVmN57MM+YZWeXJGnVaWC8ZL8ULbRBjFj+Xh7UnnyKj07P5TMiZqqxP1QxgsFZM+JWhDpi7uCnKhZsUrv0UBMxfvmBdN5e6PjWv1QJnATiEI3YxWoOf/1l8byyTn/nkzPPAAYWwheH+GH6rZvnnUD4lr7FJ6sSumr9My0nhBQFn6otApU0so8aSzvNicq9jhpOi9lqi/RIyU+J3r9H0WKqkGnm38xZZkSpODqK2URUkAB03naGK3/U9V8UWkNiBN8UUkNiAHReDghvbwrY3kYtLlfbNOqUvuVbe05UdPB85gWU3dToUfK/3LXpvJsGxDvaqwIt80u+yLJGMsB4OEDflXqkX1RpcqEbj5Zj3rvmdBNE7g5aemLmpTp5Uk5UfuUqtRSdK5VenmsKqU0IG5ZmedvCwRUzFAeCKgp2epFW6UXCKjYFF+8QtUQxnJvTKtUmX3iOE0YKVN91tEHFtN59tN/7Z8T+udJy8+CoKjKQydRkGQU7ybwMkkE5TGP21yzCCimes6oBW1a5USljOGyATFg54eybUBsK6BkBcqYy6erUWWlWz9UWgNi44fa1YhauJgK1CNL0RSetR8qyImaEEGbh8z5P810XizaIBRQkSCNcqKEsXx/3FgOdOGHUlbkqdEGirHcU4zlnhK06dIPlbYyz1ZAJeZEWQoiTWiF43cjoJI+5yiqBoBO31RJ32Da1JitWLL1T2nXo5AZScpSjSrMFyW2pa7SaxVTlr4oLSeqKs4dU5PK7XKiWsVUUuAmEK3Sm6kqxnIZgWDRgNh/7H8FZM2JksZyE7ppAjcBYLbhT809KgSUaUC8TazS27rHF1OPB74oAFiYDypZc5EgMaGbWk5U6IsSFSizSm9MCKiKWaUXa/9SUE6UZiwPxFSsf57S/iVs9aK0f9FyomI99Vr65wFoM5RnbUAs9ycZy1v3h9sqynFJ03lo39fqi+p4nAan/4aM1i+Obr7lkgzlNtfMexwpNaUWTuF5itlbG9d2Ck8e12XfvJiAMmJJq0qJ62utXrL6oZL65qULqL1t21ZpxvLgnuJTePEGxECyH2q/F91Lqx/KeKEAYLbhV5seFcZyM4WX1oB4MTCXV+eF8b2l1QsQTePVYn3zTNCmiTZob0DsiUyo5gFjLM/WgBjo3g+VbiwPxFJMQClTeIqA6tYPlSaqXE7hxfZn9ENZC6iM1gK2qRkkuvUqpU0JUvyQFsoipADLKlTah2FCeT++QshdTpSrBsR5/FDGXD7TklgO6NEG0TYxRuCHmhbPR2tAnNUPpfXNe7LpV5EeXY7Ekumbt20xJSdqwZ/OW5yLBJnpm6f6oeaEH2pe8UMFaeVqA2ITbbAojOW2DYgd+qGasbwoM4WnVKBqUhgFAkoJ2pR+qMzTeRnjDorKiYqdk9UPlbYtaYweQVFVNEnTb1krUGQkGZqYg9ZtKdN12XOi2sfTe+m1e6CivChlZZ7ii5oQoqqmCiizTfqhgqRy6YcyoiohcNOs0JPHyZyolcHzztqAGNBzokxVanczekGjnChfJG09GPXPM6Gb24SxfMeC74vaLYzljTAnKrpPPSfKrNITwnU+ISdqn+KLMlWpHuREyTiEZiiqTNCmUpVKaUBsQje1ClRq+xdNOLVsS21AnCcnyrYqZSOmHFSl1HNZqSoxeY3qhLQwNALKwh+R2Vguz8nhhzIVKDnVFyWVywpU55yorA2IATs/VFxABeNWonvSGhBnzYlK90OtARD3Q20Lgzb9bY/IBsRB37zQCwWEOVETIidqhRFQWk6UAz9UU6zMs82JUhsQG7Gk5URJP5RWjTJiSok2aGhTeCbuoJsKVFY/lDk+9h+S9jHC87Tj0oRWyz7/sbvpPOvPR1aqBhSvki6SKKKIBWVpQOwsJ6pNVNkZy3PlRInjbPrmjSVEGwCRwIpVoEz4piaghFfqkLBXnuyftz/YJqpRwdRengbESb6opAbEALAr6JsnV+ltD6fzopgDE7q5PQzcjI7fV/fFVFVUoCaMsfyp6J5qdcUXVTftXyLxOWaaEGftm6f5omROlBFVstpkpvUmhKoJRZVYpZfUNy+2Si8upmIm8pZoA/8x2raFFSglqVzNiVK2JZrMtWk9KNsc+KJix8X2W25LGkOjj2LKQFFFSJ8YOF9Up3FsPly1D2MpjLRKlZYTZcTXWLuoypoT1U0D4qj9S3vMgQuTuQzc1HxRtg2Ik3KidsdM5kFO1EFRlQrE1NZ9kah6dK9fjTIm80WRXl5NyomK+aK0qpSdydyzMZlbNiDWjeVCVJlVerEKlIk+0PxQnU3mWlVKSy9XW72kNSDu1mQ+bL6oEggpCUUVIT1gqAWUzXSe2OeyATHQfU5ULSHawN/mf4FrSeWHiG2mGqUZyuNJ5Ul+qPwNiPfEBJQ/sPFCAZG5/BEhoB4+0J4TtSPMiWr3Qxlj+fRcdC81I6Bk0Gbgh5qYj17P8UBAVWQDYhO0KZPKs/qhtAbErdEGQOSHqrVXqmSkgbUfylSlYm1fENvWlNN6QdBmVw2IXeZElVBAdRwn4xhlgKIqD5zaIwpD64uS2zLmRNn6ouQ1jQcq5otSqlJjYQVKZkK1i6pWMaWvzGtvQCxF1cxYu6HcbIuJqrD9S3JOVJRUns1Yvl/2zwu2zQnH8uzyTPAzWn23LTCXm8BNANi+bw0A4LHAWA4A9cAb1RQ5USZ00/TPqwlfVFiBmpPGcv91HBNJ5RVTjdon278YX5QQUMtK+5dwEOEbMyJK80UlNSAWQssEbcqqVBi0KatSpsqkeaRiq/Raf7bv63dOVB5flDpuqmWg866eVKParAg5xrKAooqQHJQ+qTw8r3gBleyHsjOWZ21ADOh+KC0nqtUPldaAOKxACV/U6rACJQWUqVSJVi8V//6kH2raIicqrQHxfOCHerIZTWHNBhUo2YDYTOE9LATUo0Grl8frUdDm/np7TpQxlxsBBcgVec3gp4g2MAJKmcIzXigg8kMVlhMl99WUoM3QWC7EUiCgGrFWLxn9UOK4pKBNFw2IkxLIY/sTpviyNiCO77PcJu+pl9N4JahkUVQR0gWln84Lz1XiBrRxC/ZDJUUbAPlyosaV9i9R42FllZ6yMi9q/9IeX2C8UHJbWgPibv1QWgNi44UCIj+UbEBs/FAPLx4RbQviDUzPPED6oSJBNhaIqcm56E0203mTYjovWqUXRBuIBsTVurYyr7sGxP5DxQ+l5US1+qFi7V/ak8qNH6qhJJXLapNegcrmhwpFlW0mlG1VyoUfyrYCJSmzH6oEQkpCUUVIBsoipgrzRclrKEbxbnOi0nxRSVWpePuXrOnl7TlRRlTNxKpS+9q2aeGbWgPimeB1qgkBNR0EbdpO5y3Df45a4ObORtQDz4gpE7gJRL4oE7gJRKGbTy1E5y7NBQ2IRf88k14+EYs5aM+JmgjFVEIDYlGVChsQi/YvnhGHaVUpYyhX2r9oMQeYMtN6MmizvX9eWJVKyYkyPqhGSnp5q4CS2xIzodJyoioJ21SfkxjPZlu/fVEW4zg/r4dQVBHSgaEXUOoHbzE5UVWxWs+0fdGM5fEKVDDVpDQg1lbkrRiLts2Mm4Ry4Wlq8UPFBVSwMq8iV+YF4ksYy7WcKCOcXPihpAdqh2IsN36orcJYPhv0zauLBsRekBM1ORfd08qgAmUqUf7j4DUWfqiJerofShVQogKV5IeqympTVj+U0vbF/IxXoIzZXPFAySm8cFovupRLP5S1sbwHOVHquIlV7pR7smWIBZQGRRUh6JO5vJv/9dnmRLXty2YsB6Cax5On8+S5cTGV5ouybUAcTetFwmSl4pFaHaSW621fOk/rSV+UCd2cScmJsmlADOg5UbuDsojJidq+FFWgti76xnKTEQUAj+z1RZcJ3ASAvUG8gQncBICa8UUJAWVCN2VOVC3snyen8/zXorK3PSeqsAbEtXYBJUWVnhNlpvjigZvysdY/r6Eay0UFSksqN9sUQSSPQ0s1KnUKrx85UWWsQLkeo49QVJGRY6gqUNp+1w2IHfihtGiDcetWL2lJ5UkCSk7dGTHlb5NTeKZvnusGxNIPZZoQy2qUEVHbTTbU3khA7WjJhgIiP9S4CNqcCvKhYhWocApPNiAOpvBE0GY4jScElHfABG2KalRr3zxtCk96oMKgTemLSpjCq7VXoLL6oWICyjJoUzWUO/RDFdqAuNtpPAqoQqGoIiNBWYQU0JvpvPBaDhsQy8dZ/VATKUGburHcCKh2UaX5obS+eUl+qBnxhWem82rKtJ5tTpQM2tT8UGY6b7to/xL1zfN/xhoQ1/1zl4WxfGIuoQGxmhMVidTxeRO0KXKiTN+8rH4orQGxzIky03rCPI4JZVrPoR+qIYZNMpZ3lRPVrR8qVRi17EvZNtDG8iEUUBoUVXnoZytsYkVZxJTzqlRSNcraWJ7sn6ooFSjbnKjWVXqaL0pfmdeeExVbpTeutH8JhNOaWPuXeKNi/7F/vdbATSBfA+I9YVUqepFng+m82eU14batgbncCCkA2LrHf/xYGLgZibBmS+AmANTm/J/xBsSKL2ohoQFxrCq1GPsJwConKk8DYk9UqkJf1JQM2lSqUkk5URPxY4DujeXycZqAUitVLcJJFUtpsQhZq1Jpn3EUUz2FoioPDP/sO2XKiTL0K2gzLB4ox7toQAwk50RNjHX2Q8WM5WPtxvJVE8ZYLtPLzXSdXcxBet+8eDXKtgGxzIkyfqjdIip7tuELI5kTpfmhtoV986KcqFY/1KRoQGyEkxRQYbRBXbZ68Z+38UIBwg8lK1AO/FChcJLTeqYCpTUgVozl8aTydj9U2D8vJpLS/VBqBUpus53Cc+iHsq5ASfqRE+Xqc3TEBJQGRRUZSEpdgYqda2ksTxJi6hRCuyDK3IBYrsjTqlLBeNIPZabzsvbNixnLx9uTyk01So850JLK23OiTOAmEIkpuUrPJidKM5bPC2O5Cd2cXY6M4sYXJRsQbzXTeXuj6byd876YOlCPpsSqoZjy39iYsTyYzpuKNSD2X9dx0f5lbCF4ffaKnCizSs9VTpSZ2msN3BTbYsbyKdMrT/bPM9N6QkCFvigZaaAIKIu+edrKPLUBcS9zotKOD89LMJZ3PEfZljSGBn1RzqGoIqVnaNq+tG5LG0P7n62NydzSF5W1ATGQIb28xWSuNSA2BnN/m1aVap/W03KidJO5WaUXCYPW6TzbBsS7GivCbcZkLlfpaSZzE7r5ZD3qnxeazEV6eauYivuiTPsX4YtKyomS4ZvGF7UUPR/r9HIbk3lsWk8TUEF6+ZScwtNW6QUCKofJXBVVmjDqtgExkOJzEudaTP/1PSeKValCoagipWIkBFTWnKiMfqiKIpaqymq9rA2Ige79ULYCSlagTPuX6WpUWZkJnuuUAz+UbED8ZFDSMNEGAPBoMJ33iDCWm5wo2YA4yQ81IXKiDlGm81r9UJPCWG5yokIvFKALKFOBytiAGOjghzLCaSI6zqSVm755UkB5irE87J8XE0tazAHaj+s2aNNyCi9zA2K5LU1otexLFVBJn3cuBJTFOM7PG3GGSlS9973vxa233or7778fk5OTmJubaztm27ZtuOyyy3DHHXdgxYoVuOCCC3DDDTdgUv7Pi/Scgc2JcuyLcpETpfmiquL6Y2pSuV1OlBpzoPXSa2n7Ig3ja5RpPRO6mdaAWFulZ5sTZcSUCdzc3YjG2BmIKbNCDxC+qJix3N//uPBFLQQNiL356DNkUsuJCh7Hp/PMKj0TuBm9JhWzSk8KKGMsXxTTeoGA0oSUdU6UqEpBiT5onc5rxvKigik8Je5Ay4nSBFQjoX+e3KZVo4puQBzbpv1HSNLy+z4wSeWuxxhhhkpUHTx4EK95zWuwceNGfPrTn27b32g0cN555+GII47A3XffjSeffBIXXXQRPM/DRz/60T7c8WgycH6ofkzh+Wf5uzL6oaSA0lq9jGdu9RIJqBWBgMrqhzJeKECuzJOtXvx7cp0TtdCMBEyYE9Xwq02PCmP5wwd8AbV9f7Rte2Asf0LkRB2Yb29AXAviDZIaEPv7TdCmyIkySeV7TFJ5JKCaRkAV1YBYbMvqh4o1IDbGclFZChsQp1SgXPqhiprC67QtGoNBmyRiqETVtddeCwC4+eab1f233XYbHnzwQWzfvh0bNmwAAPzJn/wJLr74Yrz3ve/FqlWr1PNI9wxsBarTOK0frinnJeZEJTQgBrr3Q6U1ILYxlvvb/MeyAmXE1EzqKr24H2pGVKCMH2paPAetAbHxQ2lTeS78UEZIAcAjSgNi44eSDYhN6KaaEzXXnhM1OR/d03iwOi/mhzI5UeanrEC1Bm4CurHceKCkqNIaECf5obSk8gQ/lG0D4oYogIWr9LSgTQd+qMIaEMtzmBM1uIT/SS521f5Qiao0vvnNb+Lkk08OBRUAnHPOOVhcXMR3v/tdnH322ep5i4uLWBQfdvV6vfB7HWSG1hclHzvxRbXfS1p6+ZjqkYpXozRf1IR1enl7A+JV0g9lRFW1vSq1SiaaV+PTfrJ/XpQTJao9OXKijJjaLXKidoU5UTK93J/G27o/mNbbF1Wldiz4/6HaLYzljdAXJYzlqi/KVKWEcA28UWOxqpQynWfElKlK2fqicuREyTiEZiiqZNCmskpvIi6mZANiE7qZZixX279o3ifbba2VKmthJMawrUoNcnr5qIupHjNSomp2dhZr166NbTv00EMxOTmJ2dnZjuddd911YRWMxBkaAdWtH6qgBsSAnhNlxFSSH2pSVqCSjOVKUnm8/Us2P9QaIapM3zytAXHWnCgpoDQ/1GxjDQDgUWEo3xYEbW6N9c3zjzN+KOOFAgDMBQJqPrqnFXP+z0nxf6gwJ0pUoCbqgYBK80N1mRMlBZR1A2JjLBeZUKYa1ZTTel36obqqQFk0IJb7Y+dqPqcWze26AfHAVKCKGGdQ0T7nvYr+syBKL6quueaaVEFz77334vTTT7car1Jpf0E9z1O3G66++mpceeWV4d/r9TqOPvpoq+sNK2WZ1nOWE6Vdw6IaJZsIZ/ZFiePMFF6sKqVM540p03mmCjWpVaBM+KYmoIRXykzhxZLKg8ex9i/BtN6MkhNlAjeBKCdKa0CcNSdKNiDeFeREyVV62w+250SZ0E3jiwKAnQv+OfvqvpiqigqUEVO6Lyp6Tybn231RY/W4LwpA1IBYTucFYqopYg5axVRi4CYQ+aLkyjxTgRJeqbABseqLkqv0LHOiWjKh1AqUYixXfVHKtjSTubr6ruX4wnxRHc9RtiWNoUFfVO/g9J/P5ZdfjvPPPz/xmOOOO85qrHXr1uHb3/52bNtTTz2FpaWltgqWpFaroSbNnSNGqY3lrlq9KMdZ9c3rYgrPpgGxfJzVD6VN4Ulf1EwooPa1bdN8UfZ+qOjL38YPtRhLKjdBm9FxTzZ9U/ijYkXeI6GAElUppW+e8UMdlH6ooN3LipZsKKDTFF4QtCmSykM/lDaF140fyhjK8zQg1ipQUybSQBNQiljSPFJa3zzbVi8Z27/Ef++UbTZ+qKKm8DptSxpDgwIqG/L90l5ksz/tDWg9btQrVYcffjgOP/zw9AMt2LhxI9773vfisccew/r16wH45vVarYbTTjvNyTUGnaGZzmvdlrECJfcn+qG6aECcNSdK+qFWKI2HW/1QsgGx8UMdMi4rS+2iyvih5Co9l34orQHxnpix3B94VyPyNBk/1NaD0e9/1IA4ElqqH2rOF1MTom+eqUKZ6bwpxVhupvKAqG9eLCdqj98eJ5ZU7tAPlRZtYCpVzZioCgRUrX1aL6kBMdC9H8pZA2KHfqihC9ocJQGlMaC9dUsvqrKwbds27N69G9u2bUOj0cD9998PAHjmM5+JQw45BJs2bcJJJ52ECy+8ENdffz12796Nt771rbjkkktGeuXf0Aipbn1Rcr+sSiVUozT/lPFAVRQPVFoD4klFVJlqVG1c+qG0ti/GI9Xe/sVUoGRPvWhFntb+JTknKkoql9N5/rYkY/l+UZXaF0zxPSnmhoyYkjEH2wIxZQI3AWD7vjUAgMcWot/XeuCNaoqcKBO6Ga9GmZ8mqVy8/sYXVZe+KFOVEg2IQ1+UEFAWDYgBoGriDWRO1ISJOdBW5gX984TQMkGbclovDNoU03qJDYjV/nkQ2+JVKbnfeQNilzlRyu+ptYCy3J9uN0jZb8Ngaon8tH6+J1Wn8ow/6tN/WXj3u9+Nz372s+HfTz31VADAnXfeibPOOgtjY2O49dZb8cY3vhFnnHFGLPxzlBgIP1QvGxDLczL6oeQUXliVsmxAnNrqpUs/lDSRhyvzYgLKJJVHwkBvQOx/mdv6oRZjwineN8/0zAOA2WA6TzYgNn6oh4WAejSIN3i8HgVt7q+350RNmKDNueieavVgOk8L2gz8UGN1WYFqb0DcDDKjCs2JMvtrScZyuTLPfxzLiTJmc2Esb1i2eunWDyUFVFJOlDqth5TjbKfzDAzaHA7MC98j8VMUFc/zBvPO+0i9Xsfq1atx7Afeg+rUVL9vx4qy+KIAyypU2odh0hjah7EURpr40nKiNI/UWLzyZOuLSmtAPK1M6yX1zUtapbdmbG+4z2zTGhDPiHvScqJsGhADyTlRuxtBA+KGiDY4GEzhxRoQ+49lTtQTC3716sBc9Ds2Nt+eE1WbQ7BNTueZ9i+yb57/vKt1bWVePNoAQL4GxFpOVLhKT2v/0p5U7k2298qLqlKKB0pbrZfQgBiAGqrZ1CpPrRUq2/TyrL6olG0xBm2VHgWUHXnEVKswU2geOICtb/8DzM/PFzJDNVSVKtJOWcRUYb4oeQ1FGBWVE5VUlYrHHWRNL89vMpfTeloD4pngdaplbEAMRNN5y4ieo2Yy39nw++AZMWUM5gDw8IFAQIn0cmMylw2Ijcl8XPTPM2JKM5lPiem8iSAnyjQgBoTJ3PTPE1WpsAGxiDvwmsbgmlKVMr4opf2LajKfEunlYdBm+8o8YzI3BnN/f7svyvTPazjon9dxW7XzPnVlXpe+qE7brLxRZaxKDbOQsjWKZx1vwKGoGnCGxg/Vui3F7+QiJ0qO160fSq7MM6JKa0CsJ5ULoTNuvE+2AkpUo1r65kljuZYTZTxQtkGb0g9lcqLmRIKjMZTviK3SM0GbQQPiwAsFADvq/v8O66IBsTfvKwNpLD9kzv9pvFAAUKsrfqiwb14kkhL9UEZAiQpUkh+qKqtNtjlRXfqhUhsQh9N60aWytn+xzonKE7TZy5wom32dxutinMLOHSYKrjalXle+2T0WaxRVA8pA+KKAZDHlwBdlayxPy4kyYqoqeuol5UTZNiBWjeVKBWq1WaWnGsql8by9l56ZzjOBmzMxX1S7sTxrA+K5ZvR8dgdlkVhOVND2xQgpANiyzzeZP7LXF1w7lQbElblIcEwGOVFmKg+IVulJX1QtzImKBGm1blbpKTlRshrVmhOVELgZe6w1IK61C6hY/zyTE6W1f1GCNpMCNxuqsVzxRUkBZbYpK+3kcWipQAG6qGJOVMFjDDJp0Qd5xhtAKKoGgKGawuu4Py6IumpA3IOcKFOhSm71kpxUbh4bLxSQ7IdaI4znKytLwT7ND5W/AbHxQgGRH+rR5SjSwJjLH148Ity2XembtytoQrwYTuFF9zEVTOHJCtRkOIUnvGdmCq+uTOEpfqimFFAWOVGqsVzLiYrFHASPp0TQZoIfqqEKKMUPZWks1ypQ4TbbTCgXfqiipvBaz0naljSGBgVU8ZRFEPXxPiiqSkpZhBTQp+k8WYEyj7tq/9KeCeXSDyVFlZYTZUSVbEC8Omz1khxzkOSHSsqJSprKA6IKlDSWGz+U8UIByX4oE7gJRH6o3fXo3GUjpoLpvNpc9IaGDYhjxvJgZd68zInyn39V5kQ59EPJlXnGD1WZkivztPYvZlpPBm0qfiizSi8lJ6rVD6VGG8htrnOiuvRD9bsBccdxMo5R2LmkfDD8c3QYWl+UfJxxOk83lif7pypKBco2J0qrSmk5Ua3VKOmLWqmszDOhm7H2L4FwWhNr/9LeqNh4o1aK12K6y5wo2T9vT1iVigYOc6IUX5QRUgCwfa+/f8eeaNXM3Lx/bmMuEh+RmPL/LvvnaenlE4EvSlalwv55YlovDNqUq/Qsc6JaxZS1L6rWbiw3/ihA+KHkKr2WaT1ArtKLLtG6Sk81livTes5yomwrT0r1Kun4ga5KUUz5uJ7W6zfMqRpOev5vs9sPqH7lRFlXoMzP5AbEWk6USz+U8UIBkR8q3uql87Se8UIBnXKi/F9PWz9UFG0g27/44+4W3+SzDV8syZyorYv+FN+2WANivwI1W48E1N55P96gMi/8UEFO1HRsOi94DibaINaA2EQbCGO5EU6yAtVlA+LY4yQ/lLIyz5uSU3hmWi9ZQLn0Q8WqUooIUo3lCav1mBPVgzEGhaTVekmNiNP2l2XKryRQVPWI0k/nhed2aSyX5yZN60GIKS0nynEDYjOdl5YTpU3nRav0ZOXJ/4JfFQZtatN6WlJ5e07UdCW6JyOm5LSebU6UMZe3Bm4CUejm7HIkjIyxXOZEbQ/iDWINiOd9c/mBejQlVg3E1KQynSdzoow3arIe9M+bj4TR2IKpQMn+ecG0nqucKDO1Jz1SJnRTqUrpxnLT/kX0z1MqUIkNiGVVyiKp3FUD4sJzomgsJ0SFoqoASi+gug3a7GZFXpd+qKRsKCBZQE10FbTZ2Q+lGcrDpPIxKZbMyjxpLF8O9oWbxBSeaKvi0A8low22L/mVJ9MzD9AbEBs/1LJsQBzkQ02LoE3VDzWn9c0L/FB7lKBN04BYeqCCx54wyic2ILb1Q8ltgZhqzYYCOgioiXZjufFDNUSRSwvV7NYPZZsXlTY150RAcQpvcHFRPbIdo4/xBWWEoionQ+uH6qICZZsTZeOHqiqr9WwbEGs5UXpSebIfSos5aPVDxStQSQ2Io29SmwbEQLIfSuubN7u8BgCwVRjLw5yovZHQeizwQ82JnCjTN28iFrQZ/wnIpHKZExX0zZM5UcZcvlepQDlsQAyI6bwJURay8ENJY3mYF5WWEzWB9uPyBG0miSrNWG6b/2S2KQZ0SWY/VGKVO2Ff6/0l0e1n6qgLKcBO1HQz1Zf3miMERVUOPPT499hFVUqO48AXVVROVLXSXqmKr8yz80WpMQdKTpQRU+mr9HxvVGvgJqA3IJ5WBJRWlUrKiVoQomp3wx9vp8iJMpWp0BclqlLb964BADwmfFEmJ8oTDYiNL0oKqLAqVRc5UaYqpUznhcZyoC0nyqzQAyIBpQkpa19ULOag3SNlvFGxVXphL72gAqXEHWi+KF1AQWxrr1Rp7V+MwFFzomyN5ZovqqIcl+SLkii/7y5CNzmdN2BQGDmDoqps5CmbK0JHHTfBH5HZWB77kE8QUGPtlafYKr1gPC3aYDxjq5eYsTwQTqvGI2GULKCy+aGksXzaQU7UQjN6TXY1fFP4bEM0GQ7M5fG+ecF0ngnanI+CNo0fqiqCNmtaq5c5syJPVP7mAj/UguKH2hNNiYY5UUl+KFcNiDU/lCqgTDWq84o8tQFxSgUqKalc9UNlzIkqtNVLOAb9UANBHvN42jguGDQhxkiFEcJ1BUrbllTej/kzEnxRaQ2IE3KiYtN5ZkWeskpPizbIZSwfs12l1x5zoOVETQfPQ2tAbPrmaVN5tg2IdzVWhNtM+xdjLAeAhw8ESeX7ouk8E7pp+uYtxnxR7Q2Ik3xRk2KVnumbV11QcqKkR8rkRC1F57aJKS3aQIoqrQGxklSOoNqkJpVPtffNi6/S81+D1sBNIBJODVEA88Y0r5TZJ47Tqkxaj7yEahR9UY7PHTS6iS9IWn03aIJniKCo6jX9ElBJfijLKTztuIoillz4oWpp0QbGF6UmldsJKFmBMuby6Wok5maC5zuV4IeyNZbvEduMH0q2ejEVqEeWoqk7az9UkA9l+uaZnnmAaPUy3z6FNymCNo0fqrIgp/ACQ7kUUKYCZeuH0ozlWqsXxVjuTbZXoFz6oVRjecLKPMBeQHXth4r9B6d9W7ivGwFV1BSezfhFnjsM2HqaKJZKD0VVr8j6v74e5ETZGsuz5kS58EOpxnJlZV7cWN7eK2+NMq2X1Q+VlBOlRRtIY7nxQxkvFADMNvzpuUeFgDJBm9IPtXWPL6YeV/rmQQRtmr55mrE8jDaI5UQZY3n0mlS0VXoOc6JSgzYDMeWJTCit/UseP5SpQlkLqKwNiOW5ms/Jwg/VkwbE3fzHLuMY1oy6mMoKV9p1D8M/BxgXvihtPMsP18w5Uba+qC5yosaU6byJ4PGk5ocKRNW0JqCE2dxUoGJJ5cHj1bGk8iBPSvFFmcBNIPJG1aBVpTr7oqSx3ORELYicKBO6OdsQOVEH23OiTOimCdwEgMfrvpjaV4+mBCvzwXTeXPRmTM4F9xsmlUfvyWTYgFj2z/MfxxoQB5lRMUN5awNiQJ/OMzlRsem8eN+8irIyz94XJatSGXOiEmIONGO5q5wodfUdEo6jL4q4gEKr71BU5SXr//pctXpRjkv0QyVUo4psQNytH0oay42h/JCUXnnRtkgYGD/UtHg+rQ2Igex+qIWmCdqMjnuy6RvLZauXsAHxgagpsZoTteBP5y3OTYXbTKuXFXMpfqj5uB9qXCSVqw2Ig8dNKaAsGhADYjovqx9KNhsOV+HJ/nlmCk+pQNUUsZTih7KpRllnQvUyaFP7T5JgYAQUhVM7tsbyrGOQUkFRlYcOvw99z4mS51rEHKQ1II765ylJ5YovakLpnxcXUGab9EMFSeUmG2q8Pf8pVoEyXqlqezCnnhPVuQExYJ8TZczlu4O+eSYjCoiM5VsPRgLKhG5uE8byHQt+1Wp3PTq3EeZERfep50SZalR7TtT4fOCLkg2I9ym+KNc5UQl980ylqhkTVSZoU4Zvmim8dmO5bEBsQje1FXlJ7V+AduHUVQPijDlRmVfp9bsBscU4zs8bdFz0yKNYGhooqhzS9/TyjCZz44GK+aIsGxBPKmZzlybz1KpUGHeQ7Iua6rIBMQDsD1fpybYvxmQeNCAW/fO2BWLKGMwBYPu+NQCAxxai6b964ItqipwoE7oZF1Dmp4w5CKpS9QST+T4Zd2B8UUJAWTYgrhpzucyJmjAxB+1982I5UcZkHhjL5bReaCwX03qhB0prQKz2z4PYZumRao0v6HEDYtucqKRxVZT9nM4rCWliiWJq6KCoyoFX6SB0JDZ+qF7kRCX4odIaEGsVqEmtAuXQD7VKCCj7BsT+F3lcQHX2Qy2KxsNJffN2NaJpulY/lGxAbPrm7VyIVvUZP1RVVKAmjLH8qeieavWgAjUnXve6af8SCccxM7UncqJM0GbTrNY7qFSg0ozlSTlRmh9KZEfZ9M1rKA2I1Zwo2wqUAz9UvxsQx44L92nHK9vkPVFA9Y60qlRS0+IkepkvRQqFoioviiCK70/alzCtJ4WRJr60nCjNIzXWXnlqzYnSfFHdNCCO2r+0V6DSV+ntjW3TAjdnxD1pOVG2DYiTcqJ2NyJP02wgprYfjISTEVNb9/k/H90bVaB21X0xtTgfjVFNyomak74obZWe6Z8npvMCMWUCNwExneegAbEetClElVmlpySVe7LyFPqhTFVKCCgtqTwh5iAtqbypVZ4scqJ62oAYCH9XB8YXVcQ4o0KeVi99631GXEBRlYeq12HqTm6LC6eiGhDLx5ofKiknSluZt0L1QB0U2/z9sgGx5ocy1SjNUJ7UN2+leE1cNCDeExNQ7X4oYy5/RAiohw+050TtCHOi/HMbYgrPGMun56J7iabw2o3lstXLeCCgYq1euu2bl9aA2LLVSy4/lFmlZ0zkBTUglo8z50S5FlA0lg8G3RjGu61AdQMrVAMNRVVesvqhumhArHmlXPqhtAbE+sq89gbE2io9aSg327L6oaYVD5StsXy/mNYzOVFzwrE8uzwT/Iym9TL7oVoCNwERbVCP7imsQMUaEPuvY6wBsalGOfBDVeUUnm1OlGlALISWSz+Ulkpu2/4lqQFxbJvlyr3w7/J310FOlDp2Rj8UK1A9QMt6sq0U9aKilJSUTkoPRVUeKkisSgGKmJK/zw4bEAPJOVETVRlzEM+JmkozlisNiJMN5VJoBe1fYqv0gvFETtRMS05UUuAmoOdELYYCSjQgDnKi4unlwYq8g6J/XuCN2rYnqkrtDEI3w8BNAJWgh15r4CYgqlIxX9RycFwkSM10XmWh3RdlhBSA5JwoQVvbF60Bca1dQMVyolRflAnfbJ/WUwWU6pEKzrNcmac1G1YbEGuiShNJ/fBFdTxH2ZY0hgZ9UcXjsirVTVgnxdRAQ1GVh6oXm6az8kMpZvMic6LGW9q/AFI4tU/raUnl0cq89vgC44WKb4uqUisrS8E+zQ8lps4s/FBaA2LjhQKA3Q3f7yMbEBs/VLwBsf/Y9MwDpB8q8hSNBUGbUyInyginyWA6b0oKKBNtEAvaVHKibBoQA7ofyggo6YdqzYmKTetp7V/ak8qNH6qhCijFD2UZtKlVoMJtUsB02YA49jjrdF7q8ZzOG1iShJErcWMzTh6BxPR0t7Ch8gBQQRS4GfwdQHJOVBe+qKRVevH2L4GoEpUnI6amFFE1HQqodlE1MyZ9UfvatmkxB1oD4pngC68mpu6mg6DNpOk86Ytahv8cTeAmEIVu7mxEPfCMsfwRUYEyvigTuAlEoZtPLUTnLs35omNcTOfVAjE1IabzpubiOVETon9eYgNiWYEyDYhF+xfPiENZiUrKiVKqUWoD4ikzrSeDNtuTyk3opkks9/ebCpRML/d/xlrCWFSjrDOh0nKiKgnbUvyNrcKpl76ojuNkHIPkQBNaZRYr2lRjme+XAKCoyoU35sWm32yEU9oUnumbpxnL4xWodj/Uiol4BQqIqlArxHTezLhJKLcVUMHKvEq0zfihZNBmVj9UvG9e3A+1EDOW++dKD9QOxVhu/FBbhbF8NpjCq4sGxN58MIU3F93TSjN1F5vOC15j4YeaqMf9UBW5Mm9fgoASFahEP5QURF36oYwXCoiqUbG2LmHcgdgWppILseTQD6VO4dkay7UpPBd+KMcNiDuOk/FcK0ZBfNnGF2jH2FYjBkWslP3+SAhFVQ4qbav/0v1QWgPitJwomwbEQPd+qDVjdtN66TlR3fuhWvvmGS8UEPmhti+JKbxF31guc6JM37zZemQs3xvEG1Tmo/Fqc+1+qMm62SfCTMO+ecIPVTep5cFrJgWUwwbEQPd+qFj7l9BY3p4TpTUgbqhBmyl+KLNNEURqA+KkljAVZRtSjuvSDzUwSeWuxxgUtIqSJpzUfMAEEUKB4pZBqfz1CIqqPFRhMZ0XHGrZgDhs/2KZExUTVYqAMqGbq2JBm/FVejNj2sq89pyo6Up0T0ZMyaqUbU6UEVP7PDmd528zgZuzy6IB8VJ7A+Lt+/1qlAncBCJf1P66zIkKphpFTlRtzv9pfFFA5I0yxnIAGDer9JScqNbATSDFFyVQfVFmxZ7wQ4WZUUr0gSciDSIxFQ/cBKLQTesGxBn75wEdcqJat3Xhi2rbJ/aPVE7UKAmpLLR1q+AXel/g6x6DoioHlWoT1QnF+5Tgh9IE1ESKgGo1lvvbOvuhNEN5kh9qTVUay5eDfdHzdJETJYM2NT+Umc7bHqzMMz3zgA4NiOv+ucvCWD4eTOdNa0Gbak6U8EPNm6BNkRNl+uYl+KG8ppyiSGhALHOizLSeMI9jot1QbsRUqh/KpJZPtBvLjR+q0JwoGz+UVoHKaixP2UZj+YCQJ5bAxRc4KyujiRafUQAUVTmoVL3YijybnCitAbGWE6X5orScqNgqvXGl/YsRTrIZcTidl9SAWBi2czQg3hOu0os+yGaD6bzZ5TXhtq2Budz4omTg5mNh4GYkwkzfvLix3P8ZjzlQfFEL8QbEAKImxHuj1ykM2pSr9CxyovI0IPZi/fOCaT3pkdJW6bXkRMWn9eLHAB2m9cbi++Q2FzlRtsJIm/LLtUqvzL4ol+MMKr0M1Wy9JiEFQFGVg+pYM7PJfDK2Wi9IL59ITi/XfFEuTeayAfG0IqC0qpSZzmuI6S3NZL674Y+3U+REmaqU8UUBwLagMrV97xoAkcEciEzm3lwkOMKcqDlE24wvSjQgNmJK+qKiBsQpOVEWJnNrX1RKerk3pVSlNJO54pEKYw5MBcqyAXFa+5fCTeZVZVua11ipSllXoxL2cTqvz7BNCxkSKKpyMD7RQG1C9Gqz8ENp0QYxY/l4e1J5soDK44cKqj2QAip/A+LZ5ajKpPmhtprpvL3RdN7OeV9EHaj7Y1RjxnL/QzZWgQqjDdqDNsfnpYAKXp+9wvsUrNJzkROlNiBW++elCSgzrSfEkq0fqqVvnu3KPLUBsaOcqKR9DNoccWyn31hR6h5OcfYNiqocTIw3YzlRUTWqc06UPq2nBW3uF9u0VXrt03paTtR0MBUpp/OmQo+U/+WuTeXZNiDe1YjSxk3kgVylt900IN4rVukFoZtP1qPeeyZ0czwI3JwUgZu6L8o0IBa+qHpCTpQM3zQVKJFUHoqptJwoI6paAzcBPSfKNBtWksplA+KGukovEFBqzEHn6TwtAiF1us6iAXGnc21yovrti+o4TsYxrKGYaqcfU32jCoVU36CoysH05EGsrEWiysYPtVJNKrcTULICZczl06L9zEzwWTWV0Q+V1oD4yaCkEW/14lejHllqz4my9UNNiJyoQwLhFAmo9ik8KaDCKby9KQLKVKCSGhADkYBSVuTF/FBGOCnGck8xlnuKsTwUUDGx5M4P1Y2AsmpADNj7oVq+N7sSUEVN4dmMX+S5w4btF7jtG0RBQAYYiqoc1MaWsUKs/rPxQ0ljuVmlJ3vlrVGm9YwfKqkBsf/Yfzttc6KMH0prQGy8UEDkh5IVKBO6uU2s0tsa9M17XPihTN88b174obScqOBxFG0gvGdhA+LoNamYVXpSQBlj+aKY1gsElCakXPihzFQeALX9S9jqRWn/ouVEaQJKHpdoKFfEkpoTZWEsb90fbuvWD6UYyzN7oTrs53ReD8maF5WnTQwhAwhFVQ5WTCxhejz6dknKiTIVqLQGxKGxXPFFzYgGxCtbGhADsiqVLSdqQfiiTOjmbCPKidqx1G4sf9j0zxO+qMfrvpjaVxcNiIPpPBO4CUTmcmMsB4SYCgM3Zf88/3FFrMwzHqmYgOq2ATGg9s2rmGqUDN+cjIsp3Rclq1KdfVGy2tTagFjuV2MO5LaWFXlaVSpNVCWtvnOSE0Vf1HBhayyngCIjBkVVDg6v7cWhU9GHhjGXS0N563Se7JUXbYuEgfFDTYtYBq0BsRs/lB+SKdu/mGrUwwciAfXIvmCqTzQgNn6oxVhOlP/PaYWWEzXXnhNlBBQAjAdJ5WoD4uBxUwqoQDilGsuNoTwmoPL7oZpTZgqv+wbEDVEA88Yy+qESpvjkPk0sMSeq4DEGEdfZUYPS/oWMDmyoXH5WjS9i1XgkYLTpPLNKb5URV1UlmFPNiYremjw5UUZM7RY5UbvCnChjLJe+qKD9y77IF7Vjwa9a7RbG8kboi4ru0wioeE5UvAGxv98XemOyGtUynedp03q2vqgcOVGyUtUMRZUM2oyv0mvIZsNKA2ITuplkLAegt39JqDwlbcvji+pqlZ6NmCrKWG4xjvPzhh0XjYcppkjZYPhn+Tl6xZM4ohYJmCQ/1JpAVK0UU3haA2IjoMZEtUVrQGwqUFJAaX6o2cYaAMCjQjhtC4M2/W2PBNlQQOSHMl4oAECQDzUxH93Tijn/Z9IUHgBM1AMBleaHaumb180UnnUD4sBcrrd6kUGb6X6optY/r4tWL5n9UPLcFp9TYQ2Ige79UP32Qrkch7iDFS3SK1ipKj+rx/bhMGFKXxVM7SX5odIaECf5oZIaEAO6H2r7wfacKNOE2PTN27kQreozfqiqqEBNKEGbYQVqTuZEmaDNqAI1FkzrhT3zgChoM8kPZdmAODaFZ6b1JoSqMRUokR0VNiDO4YdqWEQbAKICpRjL1ZyoovxQ3VSgwvHphyod3Xia8nyZUPwQYgVFVQ4Ore7Fmmo0JRW1f4mE1kwQBBr5oqIvbdsGxEm+qN2NqHnwbCOYzjsoqlKBmDINiIFITJkGxIvzogGxbU6UWpUy/fPaGxB7+5XpvIPKdJ7mi6r696LGHahBm0oDYnWVXntVKtb+RcuJaqlQdZNUrjYgdpkTNeq+KJfjDCq24qff4ZsUaWTIoKjKwTETu7FeRCroffOCqbOMDYj3xASUP/CuRuRpejRILX9ECCjThDjVDzVngjaDBsRz0b2Y6bwpxVhupvL8c5WcqD3+ysVYr7ysfiitAbFlqxcjpmSkgfFDqQLKgR+qqwbEBeVEORdQGafzOo7T5RiFnTsMpPmdtMpSHgHDShUZdOipKj+rq0uYUZPK5XReupjScqLmhGPZiCkTuAkA2w76hnITuAkA2/etAQA8thBN/9UDb1RT9M2bCMRUVIGK7ilMKhcNiCeNL6oufVFmlZ5oQBz6ooSAsmhADABVI6KML0pM4VXUlXlBBUoILRO0Kaf1oqTyzg2IgU6r9OI//cfxapS1WMrYgBiwn6ZrneKz9UVJrBoQp+xnA+ISkfWLg21NCHECRVUOZqrVzCZz6YtaDAVUVJWaD76tZxtRgKYxmRuDOaCbzGfrvpiSJvNK0ENvUuZEtYipuC/K5ETJ9HJfTIUGcyBapScbEDs0mVdqyXEHoS9KiztQjOWqgLI1mSdUo6wbEGuiSjOPuzCZ0xc1XJSh2TCFFiFWUFTlYE11BQ6pJvuh9nv+9Ne+UEBFH067G0ED4oaoNpmk8lgD4iBoU+REPbFgcqKEHyowl0+JnKjanP9zUumbV5vzhdP4QuQBq9a1lXlBTpSDBsQA9JyoVj9UrP1Le1K56ZsXE0thVSp6/kk5US78UK4aEDvxQ4V/p4AaGJL64fVSyFA02cGKHkmBoioH1ZZvADOdt4xIaCw0ffFhWtntbEQ98Iyx/BFRgXr4QCCghLH80YX2BsQHTQNi0T9vMhBTWk7U1Jxs+2LEVEIDYlmBMg2ID0biyzPiMK0BsTGUK+1ftKRyTJlpPeGBUvrnmdBNs0LP39/uizL98xoZ++fJbbaZUKrZvJKwLcEXFdufKr7iH+49bUBsMY7z8wYVNhQefCikSAoUVTlY8hqoNyOhofmhTMDmDsVYHjYgDrxQALAjmMKriwbEXjiF196AOOaHqit+qLBvXiSSWv1QqoASFagkP1RVVptsc6Is/FDxVXiWDYjVVi/mZ7uoypUTlWQsZ05UMWMMItqXsO22pPFse+8R0kv4b5GiKg/7vSXsbUaVGpMTZRLLgajtixFTW/aJ9i9B37ydSgPiylwkOCaDnCgzlQdEq/SkH6oW9s2T03lmlZ6SE9USuAlkz4lSGxA78EPFsqESGhA3VGO5qEAlJJVr3idrP5Q2hVemnKiEfRRTQ8YIf4GRksF/ixRVeZhvLuNAMzKFzy77VaYdcpVe4I162FSlgowoIMqJ2l+XvihfaEzI/nlz/s+a5ouS/fNMVUrJiYKoRjUDj5S1LyohJyrWgNhkRmk5UWp6uWz/EkznKcZyXUCZqT60bUtLL1dzorS+eTY5UZposZzqS40vyFqVKosvyuU4w4gLXw6/vAgpJRRVOfje4nrsxpHh340fatu+aIrP+KF21/3pvGXRgHgszIkSAiqc1lNyouZlTpQJ2kxZkWfjh9IaEMucKDOtJ8zjmFCm9Wz9UEZAJeRESbHUSAja7ConyjLmwMoPlcdYPshBmxRNEUk5UbbHE0KKhW1qsvHwww/jj//4j3HHHXdgdnYWGzZswG/+5m/ine98JybFF/+2bdtw2WWX4Y477sCKFStwwQUX4IYbbogdY8vWg0dgthmJqu17/QrVjj1RTtTcvG8ubwQ5USZwExAr80T/PK0B8URQgRoX7V/CeAMxrRcGbcpVehY5UXkaEHtiqs+IKeOPAoQfSq7SS4w5CM5zZSwvOCdKE1ySrhsQdxiPYooQQrqA4Z/Z+NGPfoRms4k/+7M/wzOf+Uw88MADuOSSS7B3717ccMMNAIBGo4HzzjsPRxxxBO6++248+eSTuOiii+B5Hj760Y9mvub/2/lsPNE4Ivz73iDewGRDAVE+1HRQgYqvzGufwjN+KOOFAoQfSlagHPqhYgKq1nllXnqrF3d+KLUCJbcpIkirVCVN4bnwQ/VyCq/jOBnHsGYUBZSWCZW1EtXpOFaoCBl6Kp7nDe1v+vXXX49PfOIT+NnPfgYA+Kd/+ie8/OUvx/bt27FhwwYAwBe+8AVcfPHF2LlzJ1atWpU0XEi9Xsfq1avxrM9dhYNLa8Lt1XCVXvt03mQYbdAetGm8UEAUtIm9YlovEFBN2T/PoR9K75+XZiw37V9EA2KHfijrBsSOcqLa9on9DNocIWxFVRr9zp0ihKg0DxzA1rf/Aebn562/87MwNJUqjfn5eRx2WORv+uY3v4mTTz45FFQAcM4552BxcRHf/e53cfbZZ6vjLC4uYnExmlKr1/35uv1PrcDkwUgZGHO5XKUXTeeZBsTCF1VPyImS4ZvGFyWSytsaEAP6dJ4J35SG8tacqNi0nn9czBcVbhMCSl2lFwgoNeYgeTqv1VAeE1W2mVA2xnIgxeckzrXZVtBUXsdxNLoVQqMuoIqEmVSEjCRDK6r+67/+Cx/96EfxJ3/yJ+G22dlZrF27NnbcoYceisnJSczOznYc67rrrsO1117btn3lzyaw4kD0oRkllcucqKBv3oLSgNgIKAcNiIHu/VBSQHmKsTwUUGk5UQ79UGkCymUD4rZxzDYLP1RPGxBbjOP8vGEkaTrP9XSdq8oXIWQgKL2ouuaaa1RBI7n33ntx+umnh3/fsWMHfuVXfgWvec1r8IY3vCF2bKXS/u3ieZ663XD11VfjyiuvDP9er9dx9NFHo/YUMHVA5ETNmVV6YjoviDeoLCT4okQVzAgoTUhZ50QpkQbSI2W8UVr7l7BXntI/T/NF6QIKYlulbZtV3zzbKTxtmyD8jrQ1oEuUalTbcWWsQLkeY1BI65FHMTPaUNSSHlB6UXX55Zfj/PPPTzzmuOOOCx/v2LEDZ599NjZu3IhPfepTsePWrVuHb3/727FtTz31FJaWltoqWJJarYaa9B0FTD3VxNR+YTI3MQcLYpWeMZkHHqmYgMrRgDisRslpPRNzkNFkHq9KdfZFyWpTQ00vz2YyT4w5sJ3CSzKYy+Nsq1eSQc2JGiUh1Ylup9/4hTu88L0lPaD0ourwww/H4Ycfnn4ggEcffRRnn302TjvtNNx0002oVuPfuBs3bsR73/tePPbYY1i/fj0A4LbbbkOtVsNpp52W+d4OeXgBk8JPrvmhmi1+qFRjucmJigkopQFxkh9KSyqfau+bF1alLBsQN7oI2rTOhEpo/1JYA+JBjjYoYpxBJWk6L2v7l26wvRa/1AkZekovqmzZsWMHzjrrLBxzzDG44YYbsGvXrnDfunXrAACbNm3CSSedhAsvvBDXX389du/ejbe+9a245JJLuloFUK3vAxbF1JAJ39RyorI2ILb0RclKVWgol1N3YTVKZkLFxZRsQNwIhk0zlie1f0n1QyV4pHL5oiy3DbSYGnUBVTTdeKoolgghAUMjqm677Tb89Kc/xU9/+lMcddRRsX0mNWJsbAy33nor3vjGN+KMM86IhX92g7frSTQjP7lVTlRlrIsGxEGSeazVi0M/VFcVqC4bEMceJ/ihumpA7GIKL2U/c6J6SJJYGeRVdcyuImRoGeqcqqIwOVVnj/8PjMXCk9L9ULEpPDOtNyFUjdaAeEqLOXDnh1IrULY5Uco2J36obipQ4fjMiRoKsoqqQREoFFWE9A3mVJUYb3kJqAhBZKbzqtGHZlsvPdsGxKnp5UEFKlaVMpUn21V6divzVGN5wTlR/TaWdxwn4xjWUExlI22lX5mhkCJkaKGoykOlmj0nqtZeqZJTeMYPpQqohAbEQPd+KGcNiB36oXppLO84jka3398D9r3vjF6EYFKkEEJKAkVVDipjY/Gk8gnT9qU90iAM3BTHm6BNOa0XJZXL1XpmRZ7SgFjtnwexLd0j5awBscucKFtjeVG+KJuxezXGsGE7rWe7qo75Q4R0hr8fPYWiKgfVmZWo1lZGG8JmxFGmVWvfvJhYCh4bL5S/LfBFiem6hmWrl279UL1sQNxpW0g/pvAsxunZGGUnqfKkTclpH+hJ53YzrTfqXxb80iRJ8N9FT6GoykGlVgtX5gGIVulNaqv0lGiDsColBJTmgQrN5tGlnPqhumhAzJwoh2OMGrZTgvwyIIQMGBRVeahNxkRVVI0Sfqgp0zdPq0q1+6JM/7yGg/55HbdVO+9TV+Z16YvqtM1KTLEqNTh0K34omtzA15GQ0kBRlYPmmpVorJgO/27jh4qJJbXVi/nZLqqKyolK9ELJ49IqUC37/Mdd+qH67YVyOU5ZsZ1q0760GYxJCCFtUFTloDk5Dky1r9JTDeUmaFM1lndemQeIqpTifdK2pa7S06pRLcdbV6AkyrQep/NGlNYpPoorQsgIQFGVg+bUGLyMJvNmF+nlVg2Iga5N5iPfgNjlOINOUh+9TvuzjkcIKRejEEjbunimICiqcnBwZhzVaVGpsvBD5WpA3E0FysIP1W9jecdxMo5hDQWUj+0H6bB+yBJCfEbhd1xbYVwAFFU5aExW4YlIKrUaNRaIKW1az4gqWUVKCuRMy4myNoq3j5d8/ACv0qOA6swofJCOKpx2JaQvUFTlYHm6gsp0pEyShFNTEUGqsTxhtR5zonowRtnJmlCeNp1HhhOKKUL6AkVVDpoTFVSVlXtJfqhuGhBrYqltn9if2Q9FY/lokSS0+GVMCCFdQ1GVg+Y4Yq9gKKpsM6EcNiCO7U+d/ot/cbIqNYAkxSF0I4wopgghJDcUVTlo1ABPBKrbGMqdNSB24YfKmBOljpFGt+Jn1EVTFrIKIlalCCGkECiqcuBVO+REJVWeimpALPd3M52XsI8VKEIIISQdiqocNCaBMbHSz8YP5WwKLxyDfqiBwLahcFqjYpf3MgrZNIQQ0kMoqnLgjXXhh7Kc6hu6BsSjJKA00l5kbUqu6FV6wyKkOJ1JCCkJFFU58Kot/imbKpMDY3nsOEkZxdQo4koYUSTYwdeJEFISKKpy0FapsvBD2TYgzuyF6rCfSeU9JGvjYU6/EULIUEFRlZPMOVH0RREDhRQhhAwVFFU58Kpgejkhww4rioQMPmyoPABUO0z/DUPQ5qiKpjyr9PJga7amKZsQQkoLRVUOvGoXq/S68EW1jdHFudaMqpjS0ARUv0UNxVTv4WtOyOBjfo8L/n2mqMpDBUA1ox+q3xUo12MMC1n74bkWV/ziJoSQgYeiKg8Vb/CM5S7HGXTShAyFDiGEkAxQVOXAq7TokzKLKQqpYuiXiZnmaUIIKR0UVXmoQE1Il/Q0J6qo8QaNpOm6vPTbU2Xo9/UJIYS0QVGVh1ZRFcAKVA/ptbigmCGEENIBiqqcUEANCBRDhBBCCoaiKgdtnioN5kTlp6hsKEIIIcQhFFVFkOe7n7qhM64aFRNCCBktmKg+AHTwVGU6fxRJqjzZTtNxOo8QQogtDP8cUoZZSGWdptMqT2VZXZeHQYk7GJT7JISQAYGiqlcMs5gicQZFoAzKfRIyqPA/LiMHRZVLKJw6Y5teTq8UIWRYoJAqD/RUDQjUAO3k+SDhhxAhhIwGvazk0VM1AAyjoMpqIpfHDYMfihBCSG8Ywu8KiipSTuhFIIQQMmBQVJE4WrWpm9V8eaGQIoQQMmBQVI0ytubwJIFD8UMIIYQAoKgabbjSjhBCCHEGRdUwYjt1l2Y8T9rHChUhhBASg6JqmCi6/QuFFCGEENIRiqpBh0KHkM6wukoI6SEUVcNIv788+EVGygL//RFCeghF1SBh65WiqCGEZIGfGeWD78lAQlE1qJTZ+9Tv6xNCyKDDz9GBhKKqbOT5RWKbGEJIN/AzgxAnUFT1Chcr8wghhBBSWiiqekUvqkgUZ4QQQkjfqPb7Blzyyle+Escccwympqawfv16XHjhhdixY0fsmG3btuEVr3gFVq5cicMPPxxvfvObcfDgweJuquJR7IwyXoXJ9YQQMiIMlag6++yz8X//7//FQw89hC996Uv4r//6L/yP//E/wv2NRgPnnXce9u7di7vvvhtf+MIX8KUvfQlvectb3N6IEVJSTFFcjSZ83wkhZGSoeJ43tJ/4X/3qV/GqV70Ki4uLmJiYwD/90z/h5S9/ObZv344NGzYAAL7whS/g4osvxs6dO7Fq1Sp1nMXFRSwuLoZ/r9frOProo3Hs+9+L6tRUdGBS2xd+sRJCCCF9pXngALa+/Q8wPz/f8Ts/D0Prqdq9ezc+//nP40UvehEmJiYAAN/85jdx8sknh4IKAM455xwsLi7iu9/9Ls4++2x1rOuuuw7XXntt2/bmgQPxDRROhBBCSGkx39uF1ZO8IeNtb3ubNz097QHwXvjCF3pPPPFEuO+SSy7xXvayl7WdMzk56f31X/91xzEPHDjgzc/Ph38efPBBDwD/8A//8A//8A//DOCf7du3F6JBSl+puuaaa9QqkeTee+/F6aefDgD4/d//ffz2b/82tm7dimuvvRavf/3r8bWvfQ2Vij8NZ35KPM9TtxtqtRpqtVr490MOOQQPPvggTjrpJGzfvr2QEmJZMVOfo/S8R/E5A3zeo/S8R/E5A3zeo/S8zXPetm0bKpVKbMbKJaUXVZdffjnOP//8xGOOO+648PHhhx+Oww8/HM9+9rPx8z//8zj66KPxrW99Cxs3bsS6devw7W9/O3buU089haWlJaxdu9b6nqrVKn7u534OALBq1aqR+UcpGcXnPYrPGeDzHiVG8TkDfN6jxOrVqwt9zqUXVUYkdYMXzJkak/nGjRvx3ve+F4899hjWr18PALjttttQq9Vw2mmnublhQgghhIwkpRdVtvz7v/87/v3f/x0vfvGLceihh+JnP/sZ3v3ud+MZz3gGNm7cCADYtGkTTjrpJFx44YW4/vrrsXv3brz1rW/FJZdcMnJqnRBCCCFuGZqcqhUrVuCWW27BL//yL+OEE07Ab/3Wb+Hkk0/G5s2bQz/U2NgYbr31VkxNTeGMM87Aa1/7WrzqVa/CDTfckPl6tVoNf/iHfxjzWo0Co/i8R/E5A3zeo/S8R/E5A3zeo/S8e/WchzqnihBCCCGkVwxNpYoQQgghpJ9QVBFCCCGEOICiihBCCCHEARRVhBBCCCEOoKhK4OMf/ziOP/54TE1N4bTTTsM3vvGNxOM3b96M0047DVNTU3j605+OT37ykz26Uzdcd911eP7zn4+ZmRkceeSReNWrXoWHHnoo8Zy77roLlUql7c+PfvSjHt11Pq655pq2e1+3bl3iOYP+PgN+YK72vl122WXq8YP6Pn/961/HK17xCmzYsAGVSgVf+cpXYvs9z8M111yDDRs2YMWKFTjrrLPwgx/8IHXcL33pSzjppJNQq9Vw0kkn4ctf/nJBzyA7Sc95aWkJb3/723HKKadg5cqV2LBhA17/+tdjx44diWPefPPN6vt/oLX/aR9Je68vvvjitvt/4QtfmDpumd9rIP15a+9bpVLB9ddf33HMsr/fNt9V/frdpqjqwBe/+EVcccUVeOc734n77rsPL3nJS3Duuedi27Zt6vFbtmzBf//v/x0veclLcN999+Ed73gH3vzmN+NLX/pSj++8ezZv3ozLLrsM3/rWt3D77bdjeXkZmzZtwt69e1PPfeihh/DYY4+Ff571rGf14I7d8JznPCd279///vc7HjsM7zPgt3aSz/n2228HALzmNa9JPG/Q3ue9e/fiuc99Lm688UZ1/wc/+EF86EMfwo033oh7770X69atw8te9jIsLCx0HPOb3/wmXve61+HCCy/Ef/zHf+DCCy/Ea1/72rZuDf0i6Tnv27cP3/ve9/Cud70L3/ve93DLLbfgxz/+MV75ylemjrtq1arYe//YY49hamqqiKfQFWnvNQD8yq/8Suz+//Ef/zFxzLK/10D68259zz7zmc+gUqng13/91xPHLfP7bfNd1bff7UI6Cg4Bv/iLv+j9zu/8TmzbiSee6F111VXq8W9729u8E088Mbbt0ksv9V74whcWdo9Fs3PnTg+At3nz5o7H3HnnnR4A76mnnurdjTnkD//wD73nPve51scP4/vseZ73//1//5/3jGc8w2s2m+r+QX+fPc/zAHhf/vKXw783m01v3bp13vvf//5w24EDB7zVq1d7n/zkJzuO89rXvtb7lV/5ldi2c845xzv//POd33NeWp+zxr//+797ALytW7d2POamm27yVq9e7fbmCkR73hdddJH3q7/6q5nGGaT32vPs3u9f/dVf9X7pl34p8ZhBe79bv6v6+bvNSpXCwYMH8d3vfhebNm2Kbd+0aRPuuece9ZxvfvObbcefc845+M53voOlpaXC7rVI5ufnAQCHHXZY6rGnnnoq1q9fj1/+5V/GnXfeWfStOeUnP/kJNmzYgOOPPx7nn38+fvazn3U8dhjf54MHD+Jzn/scfuu3fiuxsTgw2O9zK1u2bMHs7Gzs/azVanjpS1/a8fcc6PxvIOmcMjM/P49KpYI1a9YkHrdnzx4ce+yxOOqoo/Dyl78c9913X29u0CF33XUXjjzySDz72c/GJZdcgp07dyYeP2zv9eOPP45bb70Vv/3bv5167CC9363fVf383aaoUnjiiSfQaDTamiyvXbsWs7Oz6jmzs7Pq8cvLy3jiiScKu9ei8DwPV155JV784hfj5JNP7njc+vXr8alPfQpf+tKXcMstt+CEE07AL//yL+PrX/96D++2e17wghfgL//yL/Ev//Iv+PM//3PMzs7iRS96EZ588kn1+GF7nwHgK1/5Cubm5nDxxRd3PGbQ32cN87uc5ffcnJf1nLJy4MABXHXVVbjgggsSW3WdeOKJuPnmm/HVr34Vf/M3fxN2pfjJT37Sw7vNx7nnnovPf/7zuOOOO/Anf/InuPfee/FLv/RLYW9YjWF6rwHgs5/9LGZmZvDqV7868bhBer+176p+/m4PTe+/Imj9X7vneYn/k9eO17YPApdffjn+8z//E3fffXficSeccAJOOOGE8O8bN27E9u3bccMNN+DMM88s+jZzc+6554aPTznlFGzcuBHPeMYz8NnPfhZXXnmles4wvc8A8OlPfxrnnnsuNmzY0PGYQX+fk8j6e97tOWVjaWkJ559/PprNJj7+8Y8nHvvCF74wZuo+44wz8LznPQ8f/ehH8ZGPfKToW3XC6173uvDxySefjNNPPx3HHnssbr311kSRMQzvteEzn/kM/uf//J+p3qhBer+Tvqv68bvNSpXC4YcfjrGxsTZ1unPnzjYVa1i3bp16/Pj4OJ72tKcVdq9F8KY3vQlf/epXceedd+Koo47KfP4LX/jCUv6PxoaVK1filFNO6Xj/w/Q+A8DWrVvxr//6r3jDG96Q+dxBfp8BhKs8s/yem/OynlM2lpaW8NrXvhZbtmzB7bffnrmhfLVaxfOf//yBfv/Xr1+PY489NvE5DMN7bfjGN76Bhx56qKvf9bK+352+q/r5u01RpTA5OYnTTjstXBFluP322/GiF71IPWfjxo1tx9922204/fTTMTExUdi9usTzPFx++eW45ZZbcMcdd+D444/vapz77rsP69evd3x3vWFxcRE//OEPO97/MLzPkptuuglHHnkkzjvvvMznDvL7DADHH3881q1bF3s/Dx48iM2bN3f8PQc6/xtIOqdMGEH1k5/8BP/6r//a1X8GPM/D/fffP9Dv/5NPPont27cnPodBf68ln/70p3Haaafhuc99buZzy/Z+p31X9fV329rSPmJ84Qtf8CYmJrxPf/rT3oMPPuhdccUV3sqVK72HH37Y8zzPu+qqq7wLL7wwPP5nP/uZNz097f3e7/2e9+CDD3qf/vSnvYmJCe/v/u7v+vUUMvO7v/u73urVq7277rrLe+yxx8I/+/btC49pfd5/+qd/6n35y1/2fvzjH3sPPPCAd9VVV3kAvC996Uv9eAqZectb3uLddddd3s9+9jPvW9/6lvfyl7/cm5mZGer32dBoNLxjjjnGe/vb3962b1je54WFBe++++7z7rvvPg+A96EPfci77777wpVu73//+73Vq1d7t9xyi/f973/f+43f+A1v/fr1Xr1eD8e48MILY6t+/+3f/s0bGxvz3v/+93s//OEPvfe///3e+Pi4961vfavnz08j6TkvLS15r3zlK72jjjrKu//++2O/54uLi+EYrc/5mmuu8f75n//Z+6//+i/vvvvu8/7X//pf3vj4uPftb3+7H09RJel5LywseG95y1u8e+65x9uyZYt35513ehs3bvR+7ud+bqDfa89L/zfueZ43Pz/vTU9Pe5/4xCfUMQbt/bb5rurX7zZFVQIf+9jHvGOPPdabnJz0nve858WiBS666CLvpS99aez4u+66yzv11FO9yclJ77jjjuv4D7isAFD/3HTTTeExrc/7Ax/4gPeMZzzDm5qa8g499FDvxS9+sXfrrbf2/ua75HWve523fv16b2JiwtuwYYP36le/2vvBD34Q7h/G99nwL//yLx4A76GHHmrbNyzvs4mCaP1z0UUXeZ7nL73+wz/8Q2/dunVerVbzzjzzTO/73/9+bIyXvvSl4fGGv/3bv/VOOOEEb2JiwjvxxBNLJS6TnvOWLVs6/p7feeed4Ritz/mKK67wjjnmGG9yctI74ogjvE2bNnn33HNP759cAknPe9++fd6mTZu8I444wpuYmPCOOeYY76KLLvK2bdsWG2PQ3mvPS/837nme92d/9mfeihUrvLm5OXWMQXu/bb6r+vW7XQlukBBCCCGE5ICeKkIIIYQQB1BUEUIIIYQ4gKKKEEIIIcQBFFWEEEIIIQ6gqCKEEEIIcQBFFSGEEEKIAyiqCCGEEEIcQFFFCCGEEOIAiipCCCGEEAdQVBFCSMCHP/xhXHPNNZibm+v3rRBCBhC2qSGEkIDjjjsOW7duxZYtW3Dcccf1+3YIIQMGK1WEEEIIIQ6gqCKEEEIIcQBFFSFk5Ln55ptRqVSwdetWAMDxxx+PSqUS/rnrrrv6e4OEkIFgvN83QAgh/Wbt2rU444wz8J3vfAeLi4s4/fTTUavVwv2rV6/u490RQgYFGtUJISSARnVCSB44/UcIIYQQ4gCKKkIIIYQQB1BUEUIIIYQ4gKKKEEIIIcQBFFWEEEIIIQ6gqCKEkIBKpdLvWyCEDDAUVYQQErBixQoAwP79+/t8J4SQQYSiihBCAp7+9KcDADZv3tznOyGEDCIM/ySEkIC/+qu/wutf/3oAwMknn4ynPe1pAIAPf/jD+IVf+IU+3hkhZBBgmxpCCAm48MIL8dRTT+HTn/40fvKTn+CBBx4AAMzNzfX3xgghAwErVYQQQgghDqCnihBCCCHEARRVhBBCCCEOoKgihBBCCHEARRUhhBB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\n", 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" ] }, - "metadata": { - "needs_background": "light" - }, + "metadata": {}, "output_type": "display_data" } ], @@ -380,13 +357,13 @@ "STLSQ model: \n", "(x0)' = -0.992 x0_111 + -5.967 x0x0_1\n", "SR3 model, L0 norm: \n", - "(x0)' = -0.992 x0_111 + -5.967 x0x0_1\n", + "(x0)' = -0.915 x0_111 + -5.682 x0x0_1\n", "SR3 model, L1 norm: \n", - "(x0)' = -0.069 x0_1 + -0.921 x0_111 + -5.540 x0x0_1\n", + "(x0)' = -0.205 x0_1 + -0.728 x0_111 + -4.521 x0x0_1\n", "SSR model: \n", - "(x0)' = -0.054 x0_1 + -0.918 x0_111 + -5.681 x0x0_1 + 0.290 x0x0x0_1\n", + "(x0)' = -0.054 x0_1 + -0.918 x0_111 + -5.681 x0x0_1 + 0.290 x0^2x0_1\n", "SSR (metric = model residual) model: \n", - "(x0)' = -0.054 x0_1 + -0.918 x0_111 + -5.681 x0x0_1 + 0.290 x0x0x0_1\n", + "(x0)' = -0.054 x0_1 + -0.918 x0_111 + -5.681 x0x0_1 + 0.290 x0^2x0_1\n", "FROLs model: \n", "(x0)' = -0.069 x0_1 + -0.921 x0_111 + -5.540 x0x0_1\n" ] @@ -397,10 +374,9 @@ "\n", "# Define PDE library that is quadratic in u, and \n", "# third-order in spatial derivatives of u.\n", - "library_functions = [lambda x: x, lambda x: x * x]\n", - "library_function_names = [lambda x: x, lambda x: x + x]\n", - "pde_lib = ps.PDELibrary(library_functions=library_functions, \n", - " function_names=library_function_names, \n", + "# library_functions = [lambda x: x, lambda x: x * x]\n", + "# library_function_names = [lambda x: x, lambda x: x + x]\n", + "pde_lib = ps.PDELibrary(function_library=ps.PolynomialLibrary(degree=2,include_bias=False), \n", " derivative_order=3, spatial_grid=x, \n", " include_bias=True, is_uniform=True)\n", "\n", @@ -463,14 +439,12 @@ "outputs": [ { "data": { - "image/png": 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\n", 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", 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" ] }, - "metadata": { - "needs_background": "light" - }, + "metadata": {}, "output_type": "display_data" } ], @@ -507,7 +481,7 @@ }, { "cell_type": "code", - "execution_count": 10, + "execution_count": 8, "metadata": { "scrolled": true }, @@ -516,17 +490,16 @@ "name": "stdout", "output_type": "stream", "text": [ - "(1024,) (1024, 150, 1) (1024, 101) (150,) (101,)\n", "STLSQ model: \n", "(x0)' = -0.995 x0_11 + -0.997 x0_1111 + -0.993 x0x0_1\n", "SR3 model, L0 norm: \n", - "(x0)' = -0.995 x0_11 + -0.997 x0_1111 + -0.993 x0x0_1\n", + "(x0)' = -0.993 x0_11 + -0.996 x0_1111 + -0.995 x0x0_1\n", "SR3 model, L1 norm: \n", - "(x0)' = -0.001 x0 + -0.997 x0_11 + -0.998 x0_1111 + -0.993 x0x0_1\n", + "(x0)' = -0.791 x0_11 + -0.812 x0_1111 + -0.824 x0x0_1\n", "SSR model: \n", - "(x0)' = -0.993 x0_11 + -0.997 x0_1111 + -0.993 x0x0_1 + -0.001 x0x0x0_11\n", + "(x0)' = -0.993 x0_11 + -0.997 x0_1111 + -0.993 x0x0_1 + -0.001 x0^2x0_11\n", "SSR (metric = model residual) model: \n", - "(x0)' = -0.993 x0_11 + -0.997 x0_1111 + -0.993 x0x0_1 + -0.001 x0x0x0_11\n", + "(x0)' = -0.993 x0_11 + -0.997 x0_1111 + -0.993 x0x0_1 + -0.001 x0^2x0_11\n", "FROLs model: \n", "(x0)' = -0.995 x0_11 + -0.997 x0_1111 + -0.993 x0x0_1\n" ] @@ -544,18 +517,18 @@ "\n", "# Define PDE library that is quadratic in u, and \n", "# fourth-order in spatial derivatives of u.\n", - "library_functions = [lambda x: x, lambda x: x * x]\n", - "library_function_names = [lambda x: x, lambda x: x + x]\n", + "# library_functions = [lambda x: x, lambda x: x * x]\n", + "# library_function_names = [lambda x: x, lambda x: x + x]\n", "pde_lib = ps.PDELibrary(\n", - " library_functions=library_functions,\n", - " function_names=library_function_names,\n", + "# library_functions=library_functions,\n", + "# function_names=library_function_names,\n", + " function_library=ps.PolynomialLibrary(degree=2,include_bias=False),\n", " derivative_order=4,\n", " spatial_grid=x,\n", " include_bias=True,\n", " is_uniform=True,\n", " periodic=True\n", ")\n", - "print(x.shape, u_dot_train.shape, u_dot_test.shape, t_train.shape, t_test.shape)\n", "\n", "# Again, loop through all the optimizers\n", "print('STLSQ model: ')\n", @@ -612,14 +585,12 @@ "outputs": [ { "data": { - "image/png": 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\n", 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", 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", 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" ] }, - "metadata": { - "needs_background": "light" - }, + "metadata": {}, "output_type": "display_data" } ], @@ -731,24 +700,25 @@ "STLSQ model: \n", "(x0)' = 0.100 x0_11 + -1.001 x0x0_1\n", "SR3 model, L0 norm: \n", - "(x0)' = 0.100 x0_11 + -1.001 x0x0_1\n", + "(x0)' = 0.100 x0_11 + -1.000 x0x0_1\n", "SR3 model, L1 norm: \n", - "(x0)' = -0.001 x0_1 + 0.100 x0_11 + -1.000 x0x0_1\n", + "(x0)' = -0.032 x0_1 + 0.058 x0_11 + -0.700 x0x0_1\n", "SSR model: \n", "(x0)' = 0.100 x0_11 + -1.001 x0x0_1\n", "SSR (metric = model residual) model: \n", - "(x0)' = 0.215 x0 + 0.201 x0_11 + -0.733 x0x0_1 + -0.139 x0x0_11 + 0.044 x0x0_111\n", + "(x0)' = 0.100 x0_11 + -1.001 x0x0_1\n", "FROLs model: \n", "(x0)' = 0.100 x0_11 + -1.001 x0x0_1\n" ] } ], "source": [ - "library_functions = [lambda x: x, lambda x: x * x]\n", - "library_function_names = [lambda x: x, lambda x: x + x]\n", + "# library_functions = [lambda x: x, lambda x: x * x]\n", + "# library_function_names = [lambda x: x, lambda x: x + x]\n", "pde_lib = ps.PDELibrary(\n", - " library_functions=library_functions,\n", - " function_names=library_function_names,\n", + "# library_functions=library_functions,\n", + "# function_names=library_function_names,\n", + " function_library=ps.PolynomialLibrary(degree=2,include_bias=False),\n", " derivative_order=3,\n", " spatial_grid=x,\n", " is_uniform=True,\n", @@ -793,7 +763,7 @@ " normalize_columns=True, \n", " kappa=1)\n", "model = ps.SINDy(feature_library=pde_lib, optimizer=optimizer)\n", - "model.fit(u_train, t=dt)\n", + "model.fit(u, t=dt)\n", "model.print()\n", "\n", "print('FROLs model: ')\n", @@ -822,14 +792,12 @@ "outputs": [ { "data": { - "image/png": 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", + "image/png": 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", "text/plain": [ - "
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" ] }, - "metadata": { - "needs_background": "light" - }, + "metadata": {}, "output_type": "display_data" } ], @@ -979,51 +947,38 @@ "output_type": "stream", "text": [ "STLSQ model: \n", - "(x0)' = 1.114 x0 + -0.080 x1 + -1.104 x0x0x0 + 1.089 x1x1x1 + -1.103 x0x1x1 + 1.088 x0x0x1 + 0.121 x0_22 + 0.120 x0_11\n", - "(x1)' = 0.080 x0 + 1.114 x1 + -1.089 x0x0x0 + -1.104 x1x1x1 + -1.088 x0x1x1 + -1.104 x0x0x1 + 0.120 x1_22 + 0.121 x1_11\n", - "SR3 model, L0 norm: \n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "/home/zack/pysindy/pysindy/optimizers/sr3.py:388: ConvergenceWarning: SR3._reduce did not converge after 1000 iterations.\n", - " warnings.warn(\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "(x0)' = 1.114 x0 + -0.080 x1 + -1.104 x0x0x0 + 1.089 x1x1x1 + -1.103 x0x1x1 + 1.088 x0x0x1 + 0.121 x0_22 + 0.120 x0_11\n", - "(x1)' = 0.080 x0 + 1.114 x1 + -1.089 x0x0x0 + -1.104 x1x1x1 + -1.088 x0x1x1 + -1.104 x0x0x1 + 0.120 x1_22 + 0.121 x1_11\n", + "(x0)' = 1.020 x0 + -1.020 x0^3 + 0.999 x0^2 x1 + -1.020 x0 x1^2 + 1.000 x1^3 + 0.101 x0_22 + 0.101 x0_11\n", + "(x1)' = 1.020 x1 + -1.000 x0^3 + -1.020 x0^2 x1 + -0.999 x0 x1^2 + -1.020 x1^3 + 0.101 x1_22 + 0.101 x1_11\n", + "SR3 model, L0 norm: \n", + "(x0)' = 1.019 x0 + -1.019 x0^3 + 0.998 x0^2 x1 + -1.017 x0 x1^2 + 0.998 x1^3 + 0.100 x0_22 + 0.101 x0_11\n", + "(x1)' = 1.019 x1 + -0.998 x0^3 + -1.017 x0^2 x1 + -0.998 x0 x1^2 + -1.019 x1^3 + 0.101 x1_22 + 0.101 x1_11\n", "SR3 model, L1 norm: \n", - "(x0)' = 1.096 x0 + -1.086 x0x0x0 + 1.000 x1x1x1 + -1.086 x0x1x1 + 1.000 x0x0x1 + 0.118 x0_22 + 0.118 x0_11\n", - "(x1)' = 1.096 x1 + -1.000 x0x0x0 + -1.086 x1x1x1 + -1.000 x0x1x1 + -1.086 x0x0x1 + 0.118 x1_22 + 0.118 x1_11\n", + "(x0)' = 0.498 x0 + -0.446 x0^3 + 0.830 x0^2 x1 + -0.364 x0 x1^2 + 0.909 x1^3 + 0.018 x0_22 + 0.038 x0_11\n", + "(x1)' = 0.498 x1 + -0.909 x0^3 + -0.365 x0^2 x1 + -0.830 x0 x1^2 + -0.446 x1^3 + 0.037 x1_22 + 0.018 x1_11\n", "Constrained SR3 model, L0 norm: \n", - "(x0)' = 0.753 x0 + 0.154 x1 + -0.755 x0x0x0 + 0.831 x1x1x1 + -0.757 x0x1x1 + 0.830 x0x0x1 + 0.096 x0_22 + 0.053 x0_1 + 0.053 x0_11 + -0.119 x0x0_2 + -0.289 x0x0x0x0_2 + 0.077 x1x1x1x1_2 + 0.072 x0x0x1x0_2 + -0.282 x1x1_22 + 0.153 x0x1x1x0_22 + 0.208 x0x0_1 + -0.088 x1x1_1 + -0.079 x1x1x1x0_1 + 0.127 x1x1x1x1_1 + -0.052 x0x0x1x0_1 + 0.313 x0x0x1x1_1 + 0.227 x0x0x0x0_12 + -0.072 x0x0x0x1_12 + 0.324 x0x1x1x0_12 + -0.306 x0x1x1x1_12 + -0.097 x0x0x1x1_12 + -0.066 x0x0_11 + -0.176 x1x0_11 + 0.052 x1x1_11 + -0.377 x1x1x1x0_11 + 0.195 x1x1x1x1_11\n", - "(x1)' = 0.093 x0 + 1.129 x1 + -1.103 x0x0x0 + -1.122 x1x1x1 + -1.102 x0x1x1 + -1.121 x0x0x1 + 0.119 x1_22 + 0.120 x1_11 + 0.120 x0x0_2 + 0.134 x0x0x1x1_2 + -0.052 x1x0_22 + -0.073 x1x1_22 + -0.194 x0x1x1x0_22 + -0.221 x1x1x1x1_1 + 0.058 x0x0x1x0_1 + 0.135 x0x0x1x1_1 + -0.206 x0x0x0x0_12 + 0.059 x0x0x0x1_12 + 0.107 x0x1x1x0_12 + 0.086 x0x1x1x1_12 + 0.087 x1x0_11 + -0.209 x1x1_11 + 0.104 x1x1x1x0_11 + 0.072 x1x1x1x1_11\n" + "(x0)' = 1.016 x0 + -0.089 x1 + -1.009 x0^3 + 1.094 x0^2 x1 + -1.005 x0 x1^2 + 1.093 x1^3 + 0.092 x0_22 + 0.102 x0_11 + -0.063 x1^3x1_2 + -0.066 x0^2 x1x0_1 + 0.053 x1^3x1_1\n", + "(x1)' = 0.089 x0 + 1.016 x1 + -1.092 x0^3 + -1.005 x0^2 x1 + -1.093 x0 x1^2 + -1.009 x1^3 + 0.102 x1_22 + 0.092 x1_11 + -0.052 x0^3x0_2 + -0.067 x0 x1^2x1_2 + -0.063 x0^3x0_1\n" ] } ], "source": [ "# Odd polynomial terms in (u, v), up to second order derivatives in (u, v)\n", - "library_functions = [\n", - " lambda x: x,\n", - " lambda x: x * x * x,\n", - " lambda x, y: x * y * y,\n", - " lambda x, y: x * x * y,\n", - "]\n", - "library_function_names = [\n", - " lambda x: x,\n", - " lambda x: x + x + x,\n", - " lambda x, y: x + y + y,\n", - " lambda x, y: x + x + y,\n", - "]\n", + "# library_functions = [\n", + "# lambda x: x,\n", + "# lambda x: x * x * x,\n", + "# lambda x, y: x * y * y,\n", + "# lambda x, y: x * x * y,\n", + "# ]\n", + "# library_function_names = [\n", + "# lambda x: x,\n", + "# lambda x: x + x + x,\n", + "# lambda x, y: x + y + y,\n", + "# lambda x, y: x + x + y,\n", + "# ]\n", "pde_lib = ps.PDELibrary(\n", - " library_functions=library_functions,\n", - " function_names=library_function_names,\n", + "# library_functions=library_functions,\n", + "# function_names=library_function_names,\n", + " function_library=ps.PolynomialLibrary(degree=3,include_bias=False),\n", " derivative_order=2,\n", " spatial_grid=spatial_grid,\n", " include_bias=True,\n", @@ -1107,39 +1062,56 @@ }, { "cell_type": "code", - "execution_count": 15, + "execution_count": 20, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "(x0)' = 1.018 x0 + -1.018 x0^3 + 0.999 x0^2 x1 + -1.018 x0 x1^2 + 1.000 x1^3 + 0.101 x0_22 + 0.101 x0_11\n", + "(x1)' = 1.015 x1 + -1.000 x0^3 + -1.015 x0^2 x1 + -0.999 x0 x1^2 + -1.015 x1^3 + 0.101 x1_22 + 0.101 x1_11\n" + ] + } + ], + "source": [ + "# Show boosting functionality with 2D PDEs where 1/3 the data is used\n", + "optimizer = ps.STLSQ(threshold=40, alpha=1e-5, normalize_columns=True,unbias=False)\n", + "ensemble_optimizer = ps.EnsembleOptimizer(\n", + " optimizer,\n", + " bagging=True,\n", + " n_models=10,\n", + " n_subset=np.product(u_train.shape[:-1]) // 3,\n", + ")\n", + "model = ps.SINDy(feature_library=pde_lib, optimizer=ensemble_optimizer)\n", + "model.fit(u_train, \n", + " x_dot=u_dot_train,\n", + ")\n", + "model.print()" + ] + }, + { + "cell_type": "code", + "execution_count": 21, "metadata": {}, "outputs": [ { "data": { - "image/png": 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", + "image/png": 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wr0mTJnjxxRfNXqaMWCASERERUaV161YyWukdVz4aUBQgIKCknYz+/vtvAJY9g6i7127w4MFo2LBhhe23bdsGAHjiiSf0Z7Pu9NJLL0Gj0SA5ORmnTp0CAKxbtw4A8OSTT8LLy6vUe9zd3dGrVy8IIbBr1y6Ts6tl7jaXxRLb9fzzz5ea1rJlS7i6uiI7O9voo+/Ko3tG+urVq81+KsK9hPcgEhEREVGlOTqWPMpi6NCSYvDOv591RWNUlJzPQzx//jyuXr0Kf39/VK9evdT84uJifQFpzhnEf/75BwDQuXNnk9qfPn0aANCsWTOj8728vBAQEIDExEScPn0aTZo0wdGjRwGUFFR79+41+j7dGbbUu4eXtQJzt7ksltiu+vXrG51es2ZNpKSk4MaNG0b3d1kmTJiApUuXYubMmfjhhx/w8MMPo1u3bggPD0fdunVNXo7sWCASERERkUUMGQKsXl3yHMQ7/2b39y8pDmV9DmJF9x8mJCTgxo0bqFWrltEze2XRjbJp6kPXb9y4AQBlDroClAyokpiYiOvXrwMAsrOzAZQMbpOYmFju8nWPrbAmc7e5LJbYLg8PD6PTdc90NPcsYJs2bRAXF4f33nsPv//+O7799lt8++23UBQFvXv3RlRUFJo2bWrWMmXEApGIiIiILGbIEKBXL+D2wI/47TegTx85zxzqVFQg7ty5E4B5Zw8B6C+NvHbtmkntdfe1paenl9kmLS3NYNm69yxcuNDoJZW2Zu42l0W27dLp3Lkztm7dihs3bmDPnj3YuXMnVqxYgW3btqF37944duxYpYtje+M9iERERERkUXcWg927y10cAsCJEycAAM2bNzc6X/d8O3NHMNUt748//jCpfaNGjQzy3O369etISUkxaKu7HPXYsWNmZbMWc7e5LPbYLqWsG2iN8PT0RN++fTFnzhycPHkS9evXR2pqKjZv3mzFhLbBApGIiIiI7mu6s126Sw/vFB0djdjYWADmn0F87LHHAADr16/HmTNnKmzft29fACWPWbh8+XKp+d9++y3y8/MRFBSExo0bAygZDAYAli1bZvagK9Zg7jaXxR7b5ebmBsD8S3Hd3d31z4e8ePGixXPZGgtEIiIiIrqvBQUFAQC++eYb/T10Wq0WCxYswCuvvAIXFxcA5p9BbN++PQYPHoxbt26hX79+2L9/v8H8xMREfPLJJ/rXDz74IDp06ID8/HwMHz7c4FLTbdu2YcaMGQCAN954Q3+2KzQ0FE8++SQyMzPRu3dv/WirOkVFRYiJicHTTz+N/Px8s/KrYe42l8Ue26V7lIbuC4G7jRs3Dj/99BNyc3MNpsfFxWHHjh0AgHbt2lkkiz3xHkQiIiIiuq+NHj0a3333HWJiYlC3bl0EBgbiwoULKCgowDfffIOxY8fC2dlZ1QAkixcvxuXLl7Fv3z507NgRwcHBqFGjBlJSUpCWloagoCC89tprAEoucVyxYgXCw8MRExODwMBANG/eHDk5OfqBWkaOHImxY8eWWkdWVha2b9+Odu3aITAwEHXq1EFubi4SExP1Z8QWL15cyZ6y/DZXtBxbbtdTTz2FTZs2Ydy4cfjqq6/0I5xGRUWhTZs22LdvHxYsWAAnJyc0bNgQXl5eSEtL04+m+swzzyA8PNwiWeyJZxCJiIiI6L7WqVMnrF27Fm3btoUQAteuXcPgwYNx6NAhtG/fHlqtFo0bN9afSTRH1apVERsbi6+++gphYWHIysrCsWPH4O7ujqFDh+LLL780aN+gQQMcPnwYr732GgIDA3H8+HGkp6eje/fu+PHHH7F06dJS98p5enpiy5YtWL58Ofr27Yvc3FwcOnQIGRkZaNWqFaZPn46//voLrq6uleona21zWWy9XSNHjsT8+fPRqlUrnDlzBrGxsYiNjdVfgvzZZ59h0qRJaNWqFTIyMnDkyBEAJZcGb9y4ET/88INFctgbzyASERERkUV5eBg+B/FeMGjQIAwaNMjovMo+FN3Z2Rnjx4/H+PHjTWpfo0YNzJ07F3PnzjV5HQ4ODhgxYgRGjBhh8nuio6MRHR2ten5SUlKZ88zZ5vKWo2a7Ktpf5a1v4sSJmDhxotF54eHh/4ozhBXhGUQiIiIiIiICwAKRiIiIiIiIbmOBSERERERERABYIBIREREREdFtLBCJiIiIiIgIAAtEIiIiIiIiuo0FIhEREREREQFggUhERERERES3sUAkIiIiIiIiACwQiYiIiIiI6DYWiERERERERASABSIRERERWdrNm4CilPzcvGnvNERkBhaIRERERER3+fLLL9GkSRN8+eWX9o5CZFMsEImIiIiI7pKRkYFTp04hIyPD3lGIbIoFIhEREREREQGoRIGYk5ODv//+G6mpqaXmrV27Fv369UPr1q0RERGBCxcuVCokEREREZEtRUZGQgiByMhIe0exmvj4eAwcOBDVqlWDg4MDFEVBTEyMSfODg4OhKAqSkpIqlcFSyyHLcVL7xnnz5mHmzJlYuHAhIiIi9NOXLl2KiIgICCEAAEePHsWOHTtw9OhReHt7Vz4xERERERFVSnp6OsLDw5GVlQU/Pz80bdoUiqLAx8fHpPn/NlFRUbh27RomT56MKlWq2DuOXakuELdv3w5HR0c8+eSTBtN137K88cYb6Ny5M+bPn4+YmBh8/fXXeOONNyoVloiIiIjuAUVF////cXFAnz6Ao6P98lApq1atQlZWFgYNGoS1a9fCwcHBrPn169eHq6srnJ2dK5XDUsuprKioKCQnJ2P06NH3fYGo+hLTpKQk1K1bF56envpphw4dQnJyMsLDw/Hhhx/i0Ucfxc8//wxnZ2esWbPGIoGJiIiISGJr1wLNmv3/6/79geDgkukkjZMnTwIA+vbtW6r4M2X+jh07cPLkSfj5+VUqh6WWQ5ajukDMzMyEr6+vwbTY2FgoioLHHntMP6169epo1KgRkpOTVYckIiIionvA2rXA0KHA3WNUpKaWTGeRKI28vDwAgJubm6r59O+lukB0cXHB1atXDabFxcUBALp3724w3c3NDTf5kFQiIiKif6+iImDSJOD2OBQGdNMmTza8/FQSa9asgaIo6NChQ5ltbt68CV9fXzg6OuLEiRMmL7uwsBALFy5EeHg4qlevDldXV4SEhODxxx/Hhg0bSrXPzMzEtGnT0LhxY7i5uaFq1aro2bMnli9frh/jw9g6FixYgK5du6JKlSpwdXVFkyZN8M477yAnJ8egbWRkJBRFQXR0NADgueeeg6IoUBQFPXv2rHC+TnmDy5izzRUtx9Tt0tFlBYDNmzeje/fu8PLygo+PD/r164fDhw8btI+OjoaiKPqTWfXq1dMv4+5Be5KTkzF27FiEhIRAo9HAy8sLISEhGDx4MFatWmU0z71I9T2ITZo0wcGDB3H69Gk0atQIWVlZ2L59O6pXr45WrVoZtL148SJq1apV6bBEREREJKldu4DyRq4XAkhJKWl3R6EhgxYtWgAouaxSCKEvMO4UFRWFtLQ0jB49Gs3uvIS2HFlZWXjkkUewZ88eAEBQUBBCQkJw/vx5rF27FgcPHsSgQYP07RMTE/Hggw8iJSUFLi4uaNGiBa5du4bY2FjExsZi27Zt+oJGJycnB4888gji4uLg4OCAgIAAeHl54fTp0/jggw+wdu1axMTE6P8WDwwMRFhYGBISEpCeno6GDRvq57Vs2bLC+Zbe5rKYu113W7BgAcaPHw9fX180atQIp06dwpYtW7B7927s378fTZo0AQDUrl0bYWFhOHDgAPLz8xEaGgqNRqNfjm5QnqSkJHTo0AEZGRlwd3dH48aN4ejoiPPnz2P9+vU4d+4chg0bVuF23ROESlFRUUJRFBEUFCSmTp0q2rRpIxwcHMSrr75q0C4pKUkoiiL69u2rdlX3nezsbAFAZGRk2DtKKQUFBWL9+vWioKDA3lFKkTWbrLmEYDa1ZM0may4hmE0tWbPJmksIZrvbzZs3xYEDB8TNmzetv7IVK4QoKQPL/1mxwvpZzFRYWChcXV0FAHH+/PlS869evSp8fHyERqMRycnJJi/3scceEwBE/fr1xR9//GEwLyEhQXz88cf618XFxSI0NFQAED169BCXL1/Wz9u8ebPw8PAQAMTXX39tsJxhw4YJAOKhhx4SZ86cMcg8ZMgQAUAMHTq0VLZRo0YJAGLJkiVGs1c0PygoSAAQ586dU73N5S1H7XYBEACEu7u7QfacnBzx0EMPCQDiqaeeMnl7dF5++WUBQIwaNUpcv37dYN4///wjvv32W6PvK4s5x2ZGRoYAILKzs81ah1qqLzF9+eWXMWTIEJw/fx7z5s1DfHw8OnbsiPfee8+g3Y8//ggA6NWrl9pVEREREZHs6tSxbDsbcnR01J9R+ueff0rNnzNnDrKzszFu3DgEBgaatMz9+/dj/fr10Gg02Lx5Mzp16mQwv0GDBnj99df1r3fs2IEDBw5Ao9Fg1apVqF27tn7eww8/rP8b+6OPPtJfavr3339j1apVCAoKwrp16xASEqJ/T9WqVfHjjz8iICAAa9asscl4IOZuc1kssV1jxozB6NGj9a+9vLzw2WefAQC2bNli9rYlJCQAAKZMmWIwSCdQcmXliy++aPYyZaW6QHR0dMTq1atx4MABrFy5Ert378bevXtLPRslJCQEn332GYYPH17psEREREQkqW7dAH9/wMjlmQBKpgcElLSTkO4y07sLxEuXLuGLL76Al5cX3nrrLZOXp7vXbvDgwWjYsGGF7bdt2wYAeOKJJ0oNBAkAL730EjQaDZKTk3Hq1CkAwLp16wAATz75JLy8vEq9x93dHb169YIQArt27TI5u1rmbnNZLLFdzz//fKlpLVu2hKurK7Kzs5GZmWlWpoCAAADA6tWry7wX9N9C9T2IOu3atUO7du3KnD9ixIjKroKIiIiIZOfoCMyfXzJaqaIYDlajKxqjoqR9HmJZBeL777+PvLw8REZGombNmiYvT7eczp07m9T+9OnTAFDm/Y1eXl4ICAhAYmIiTp8+jSZNmuDo0aMASgqqvXv3Gn2f7gxb6t0jy1qBudtcFktsV/369Y1Or1mzJlJSUnDjxg1Ur17d5EwTJkzA0qVLMXPmTPzwww94+OGH0a1bN4SHh6Nu3bomL+deUOkCUefixYtITU1FXl5eqVFMiYiIiOg+MGQIsHo1MHGi4aMu/P1LisMhQ+wWrSLGCsQzZ85g8eLFqFmzJqZMmWLW8nSjbJr60PUbN24AQLkDO9auXRuJiYm4fv06ACA7OxtAyeA2iYmJ5S5f99gKazJ3m8tiie3y8PAwOl33TEdzzwK2adMGcXFxeO+99/D777/j22+/xbfffgtFUdC7d29ERUWhadOmZi1TVqovMdX55ptv0LBhQwQEBKBz58548MEHDeZPnToVXbp0wfnz5yu7KiIiIiKS3ZAhwJ2PgfjtN+DcOamLQ8B4gfif//wHWq0Wb7/9ttFLHcuja3/t2jWT2uvua0tPTy+zTVpamsGyde9ZuHAhhBDl/kRGRpqVXw1zt7kssm2XTufOnbF161ZkZWVhy5YtmD59Ovz9/bFt2zb07t270tstC9UFohACTz31FF5++WWcPXsWwcHB8PT0LFWNd+rUCX/88QfW8sGoRERERPeHOy8j7d5d2stK7xQUFARvb29cuXIFmZmZBgOljBs3zuzlNW/eHADwxx9/mNS+UaNGAFDmMxavX7+OlJQUg7a6y1GPHTtmdj5rMHeby2KP7TL2aJOyeHp6om/fvpgzZw5OnjyJ+vXrIzU1FZs3b7ZiQttRXSAuXrwYv/zyC5o1a4YjR47gzJkzpZ5/CAADBgyAo6MjNm3aVKmgRERERETWpCtM/vnnH7z99tsoLi7GjBkz4OLiYvayHnvsMQDA+vXrcebMmQrb9+3bFwDwyy+/4PLly6Xmf/vtt8jPz0dQUBAaN24MoGQwGABYtmyZ2YOuWIO521wWe2yXm5sbAPMvxXV3d9c/H/LixYsWz2UPlSoQHRwc8Msvv5T70EwPDw/Ur18fZ8+eVbsqIiIiIiKr011mumjRIvz3v/9F8+bNMXLkSFXLat++PQYPHoxbt26hX79+2L9/v8H8xMREfPLJJ/rXDz74IDp06ID8/HwMHz7c4FLTbdu2YcaMGQCAN954Q3+2KzQ0FE8++SQyMzPRu3dvHD582GAdRUVFiImJwdNPP438/HxV22EOc7e5LPbYLt2jNGJjY43OHzduHH766Sfk5uYaTI+Li8OOHTsAoNyBO+8lqgepOX78OEJCQvTPjClP1apVER8fr3ZVRERERERWpysQly5dCgD44IMP9IOaqLF48WJcvnwZ+/btQ8eOHREcHIwaNWogJSUFaWlpCAoKwmuvvQag5BLHFStWIDw8HDExMQgMDETz5s2Rk5OjH6hl5MiRGDt2bKl1ZGVlYfv27WjXrh0CAwNRp04d5ObmIjExUX9GbPHixaq3w1rbXNFybLldTz31FDZt2oRx48bhq6++0o9wGhUVhTZt2mDfvn1YsGABnJyc0LBhQ3h5eSEtLU0/muozzzyD8PBwi2SxN9Wf+OLiYmg0GpPa5uTkmNyWiIiIiMge7rwqrnPnzhg0aFCllle1alXExsbiq6++QlhYGLKysnDs2DG4u7tj6NCh+PLLLw3aN2jQAIcPH8Zrr72GwMBAHD9+HOnp6ejevTt+/PFHLF26tNS9cp6entiyZQuWL1+Ovn37Ijc3F4cOHUJGRgZatWqF6dOn46+//oKrq2ultsVa21wWW2/XyJEjMX/+fLRq1QpnzpxBbGwsYmNj9QPPfPbZZ5g0aRJatWqFjIwMHDlyBEDJpcEbN27EDz/8YJEcMlB9BrFevXpITEzEjRs39CMNGXP58mWcOnUKHTt2VLsqIiIiIrqXeHgYPgfxHvHggw9a/CHozs7OGD9+PMaPH29S+xo1amDu3LmYO3euyetwcHDAiBEjzHr+eHR0NKKjo1XPT0pKKnOeOdtc3nLUbFdF+6+89U2cOBETJ040Oi88PPxfc4awIqrPID766KPIz8/Hf/7zn3LbTZ06FUII/c2mREREREREJCfVBeJrr72GunXrYv78+XjiiSewZcsW3Lp1CwBw7tw5bNy4Eb169cLKlStRr149k781ISIiIiIiIvtQXSBWrVoVW7duRb169bBmzRoMGDAAhw4dAlBy/fTgwYPx+++/IyQkBJs2bYKHh4fFQlvCb7/9hl69eqFatWrw8PBAu3bt8MUXX6C4uNis5URGRkJRlHJ/Tp48aaWtICIiIiIishzV9yACJQ/D/Pvvv7F48WKsW7cOR48eRXZ2Njw9PdGsWTMMGTIEY8eOla44nDNnDt58800AJUPaenp6Ij4+HhMnTsT//vc/rFu3zuwRqwICAhAYGGh0nru7e6UzExERERERWVulCkSgpPh55ZVX8Morr1gij9Xt27cPb731FhwcHLBs2TIMHz4cABAfH68fhWjevHkmDb97p4iICERGRlohMRERERERkW2of7DLPWrWrFkQQuD555/XF4cA0Lp1a8ybNw9AyRlGrVZrr4hEREREFmXpkTmJqHJkPibvqwIxJycH//vf/wAAY8aMKTX/iSeegLe3NzIzM7Fz505bxyMiIiKyKEdHRwBAYWGhnZMQ0Z2KiooAwOzb2mxB9SWmDz74oFntFUXBjh071K7OIg4fPoyCggK4urqiXbt2peY7OzujQ4cO2LFjB/7880/06dPH5GXv3LkTx48fR2ZmJqpVq4aOHTvi2Wefha+vryU3gYiIiMhkLi4ucHFxQXZ2Nnx8fOwdh4huu3HjBhwdHaHRaOwdpRTVBWJMTEyFbRRFAVByClX3//aUkJAAAAgMDISTk/FNDwkJwY4dO/RtTRUXF2fwes2aNYiMjMTXX3+N0aNHq8pLREREVBmKoqBq1aq4cuUKqlevLt3AgUT3o8LCQmRmZsLb21uKGuluqgvE8i7BvHnzJhITE/H999/j5MmTmD17ttEzdraWlZUFoOQRHWXRzdO1rUidOnXw1ltvYfDgwQgJCYGbmxsOHz6MWbNmYfPmzYiIiED16tXxyCOPlLmM/Px85Ofn61/n5OQAALRarXT3QuryyJYLkDebrLkAZlNL1myy5gKYTS1Zs8maC2A2Y2rUqIHr16/j9OnTqFatGqpUqQInJycp/zAl+jcTQuDWrVtIS0tDUVERatWqZdK/B7b+N0MRVrxDUgiBSZMmYenSpfjzzz/RpEkTa63KJDNnzsR//vMfdOvWrdQZP53//Oc/mDlzJh566CH9/YpqCCHw+OOPY926dahfvz4SEhLK/Ic4MjISM2bMKDV9xYoVfEQGERERVZqiKPD29oa7u7v+vkQiso/8/HxkZ2ejoKDApPa5ubkYMWIEsrOz4e3tbeV0FnjMRXkURcHcuXPxww8/4N1338Uvv/xizdVVyNXVFQDK3Rm6M3lubm6VWpeiKJgzZw7WrVuHM2fO4O+//0br1q2Ntn3zzTcxZcoU/eucnBwEBAQgPDwc1atXr1QOS9Nqtdi+fTt69+4NZ2dne8cxIGs2WXMBzKaWrNlkzQUwm1qyZpM1F8BsFRFCQKvVoqioyGAUxcLCQvz555/o1KlTmbfh2IOsuQBmU0vWbLbIpSgKnJyczD7+MzMzrZKnLFbfKxqNBo0aNTLpnkVrM+XyUVMuQzVVo0aNUK1aNVy9ehWJiYllFogajcboDarOzs7S/XLTYTbzyZoLYDa1ZM0may6A2dSSNZusuQBmK4+Li0upabrbWry9vaXqN1lzAcymlqzZZM0FwOZ5bDKuanJyMnJzc22xqnI1bNgQAHD+/Pkyh3s+e/asQdvK0u1QDi9NRERERESys2qBWFxcjHfffRdXrlxB8+bNrbkqk7Rt2xbOzs64desWDh06VGq+VqvF/v37AQCdOnWq9PoyMjKQnp4OAPD396/08oiIiIiIiKxJ9SWmERERZc4TQuDKlSs4cuQILl26BEVRMH36dLWrshhvb2/06tULmzdvxuLFi9GxY0eD+b/88gtycnJQvXp19OzZs9LrmzdvHoQQ8PHxQYcOHSq9PCIiIiIiImtSXSBGR0eb1K5u3br46KOP8Pjjj6tdlUW9/fbb2LJlCxYtWoSePXti+PDhAID4+Hj9QDHTpk0zuD4/KioKUVFR6Ny5M1atWqWffvz4cXz11VeYMGGCwRnSW7duYd68efjoo48AANOnTzd6vT8REREREZFMVBeIS5YsKXOeoijw8PBASEgIWrduDQcHm9zqaJKwsDDMnDkT77zzDkaMGIF33nkHnp6eOHbsGIqLizFgwABMnTrV4D3Xrl1DcnIygoODDaZrtVp88803+Oabb1CzZk0EBgYCAP755x/9PZdjxozBG2+8YZNtIyIiIiIiqgzVBeKoUaMsmcOm3n77bbRu3RqfffYZDh48iMuXL6Nly5Z47rnn8PLLL5v8fKDg4GDMnDkTe/fuxcmTJ3Hq1CkUFBSgVq1a6N+/P55//nn07dvXyltDRERERERkGfI8fMTGBg4ciIEDB5rUNjIyEpGRkaWmV6lSBe+8846FkxEREREREdmHPNd+EhERERERkV2ZdAaxvBFLTaUoChYvXlzp5RAREREREZF1mFQgmjpiaXlYIBIREREREcnNpAKxvBFLiYiIiIiI6N/BpALxXh6xlIiIiIiIiEzDQWqIiIiIiIgIAAtEIiIiIiIius0iz0H8448/EB8fj6tXr0Kr1RptoygK3n33XUusjoiIiIiIiKygUgViXFwcxowZg7Nnz5bbTgjBApGIiIiIiEhyqgvEEydOoF+/ftBqtXj66acRGxuLCxcu4K233kJKSgri4+MRHx8PNzc3jBs3Dl5eXpbMTURERERERBamukCcM2cObt26hUWLFuG5555Dt27dcOHCBcycOVPfZtu2bRgzZgy2bt2Kffv2WSQwERERERERWYfqQWpiYmLg4+NT7iMw+vTpg7Vr1+L48eN4//331a6KiIiIiIiIbEB1gZieno7g4GA4OJQswsmp5GRkXl6eQbsOHTqgcePGWLt2bSViEhERERERkbWpLhB9fHxQVFSkf12tWjUAQHJycqm2Li4uSE1NVbsqIiIiIiIisgHVBWJgYCAuXbqkf92yZUsAwK+//mrQLikpCadOnYK3t7faVREREREREZENqC4Qw8PDkZmZiaSkJADA8OHDoSgK3n77bbzzzjvYtGkTvv/+e/Tp0wdarRb9+/e3VGYiIiIiIiKyAtWjmD7++ONYt24ddu/ejeDgYDRu3BgzZ87E22+/jdmzZ+vbCSEQEhKCOXPmWCQwERERERERWYfqArFTp05ISEgwmPbmm2+ia9euWL58OZKSkuDm5oauXbvixRdf5HMQiYiIiIiIJKe6QCxLt27d0K1bN0svloiIiIiIiKxM9T2IWVlZlsxBREREREREdqa6QPT19cWjjz6KVatWITc315KZiIiIiIiIyA5UF4hCCPz3v//F008/jdq1a+Ppp5/Gr7/+isLCQkvmIyIiIiIiIhtRXSCmpaVhwYIF6N69O/Ly8rBy5Uo89thjqF27NsaOHYuYmBgLxiQiIiIiIiJrU10gVq1aFS+++CJ27tyJlJQUfPrpp2jfvj2ysrKwcOFCPPTQQ/D398drr72GAwcOWDIzERERERERWYHqAvFOderUwauvvoq//voLiYmJeP/999GkSRNcvHgRn332GTp16oTGjRtbYlVERERERERkJRYpEO8UEhKCd955B8ePH8eRI0fQt29fCCGQmJho6VURERERERGRBVn8OYgAcPbsWaxcuRIrV67EP//8Y41VEBERERERkYVZrEC8fPkyfvrpJ6xcuRL79+8HUDLSaZ06dfDUU09hxIgRlloVERERERERWUGlCsRr165h9erVWLlyJeLi4lBcXAwhBKpUqYIhQ4ZgxIgRCA8Ph6IolspLREREREREVqK6QHz00Uexbds2aLVaCCHg5uaGgQMHYsSIEejXrx9cXFwsmZOIiIiIiIisTHWB+N///hdOTk7o06cPRowYgcGDB8PT09OS2YiIiIiIiMiGVBeIX3zxBZ566inUqFHDknmIiIiIiIjITlQXiBMmTLBkDiIiIiIiIrIziz8HkYiIiIiIiO5NLBCJiIiIiIgIAAtEIiIiIiIiuo0FIhEREREREQFggUhERERERES3sUAkIiIiIiIiAJUoEM+fP4/09HST2qanp+P8+fNqV0VERERUoaIiIDZWQVycH2JjFRQV2TvRHYqKoMTGwi8uDkpsLOQKR2Qb0h6jPD4NqC4Qg4OD8cQTT5jU9qmnnkJISIjaVRERERGVa+1aIDgY6N3bCfPmhaJ3bycEB5dMt7vb4Zx690bovHlw6t0b8oQjsg1pj1Een6VU6hJTIYRV2hIRERGZau1aYOhQ4MIFw+mpqSXT7fp3ntThiGxD2sNA2mD2ZZN7EHNycqDRaGyxKiIiIrqPFBUBkyYBxr6H1k2bPNlOV4xJHY7INqQ9DKQNZn9WLRDz8/Oxbds2/P333wgODrbmqoiIiOg+tGtX6S//7yQEkJJS0s7mpA5HZBvSHgbSBrM/kwvEGTNmwNHRUf8DAHv27DGYdvePu7s7+vXrh6KiIgwbNsxqG0FERET3p0uXLNvOoqQOR2Qb0h4G0gazPydTGwohDO4jVBSlwvsK3dzcEBISgqeeegpvvPGG+pRERERERtSpY9l2FiV1OCLbkPYwkDaY/Zl8BjEyMhLFxcX6HyEEunbtajDt7p+bN2/i6NGjeOedd+DkZHItSkRERGSSbt0Af39AUYzPVxQgIKCknc1JHY7INqQ9DKQNZn+q70F877338Nxzz1kyCxEREZFZHB2B+fNL/v/uv/N0r6OiStrZnNThiGxD2sNA2mD2xwKRiIiI7mlDhgCrVwN+fobT/f1Lpg8ZYp9cACQPR2Qb0h4G0gazL173SURERPe8IUOAQYOAnTsLsXnzEfTr1wbh4U5yfPl/O1zhzp04snkz2vTrB6fw8PvyzATdv6Q9Rnl8llKpx1xcvXoVb731Ftq2bQsfH59yRzSV7R7E3377Db169UK1atXg4eGBdu3a4YsvvkBxcbGq5e3btw+DBg1CzZo14ebmhmbNmmHmzJm4deuWhZMTERGRMY6OQI8eAt27p6JHDyHX33eOjhA9eiC1e3eIHj3u6z8+6f4l7THK49OA6qrt3Llz6NatGy5dulThaKYATGpjK3PmzMGbb74JAAgJCYGnpyfi4+MxceJE/O9//8O6devg4GB67bx8+XKMGjUKRUVF8PPzQ0BAAI4dO4b//Oc/+PXXXxETEwN3d3drbQ4REREREZFFqD6DOH36dFy8eBEtW7bExo0bcenSJRQVFZU7qqkM9u3bh7feegsODg5YsWIFzpw5g/j4eBw6dAi1a9fGxo0bMW/ePJOXl5SUhDFjxqCoqAgff/wxUlJScOjQISQkJKBx48bYv38/pk2bZsUtIiIiIiIisgzVBeKOHTvg6uqKbdu2YeDAgahduzaUsoaJlcisWbMghMDzzz+P4cOH66e3bt1aXxjOmTMHWq3WpOXNnTsX+fn56NOnD15//XV9HwQFBeH7778HAHz33XdIS0szO+uxBXtQVFBk9vuspqgISmws/OLioMTGAkXyZCsqAmJjFcTF+SE2VpEmWlFBEf7+PA7XvzuGvz+Pk2p/MhuR3GQ9DmTNBYC/p1SSdZ/KmgtgNtUkPUZlPz6PLdhj25UKldzd3UXbtm3Vvt0usrOzhYuLiwAg/vzzz1LzCwoKhLe3twAgtm7dWuHyiouLRZ06dQQA8dNPPxlt06RJEwFAfPvtt2blBCCyAZHq6C/2vb7G5PdazZo1Qvj7CwH8/4+/f8l0RjNq3+trRKqjYTBZ9iezVU5BQYFYv369KCgosHcUA7LmEoLZzCXrcSBrLiGEvL8M5I4m7T6VNRezVYKkB4KksYQQ/78/s4GS2iA72ybrVV0gtm/fXtSrV8+SWawuJiZGABCurq5Cq9UabfPQQw8JAOL999+vcHlJSUkCt3fYhQsXjLYZM2aMACAiIiJMznlngVgERRRBse+BvWaNEIpieOQAJdMUxa5HkKzR9r2+5va+Mwwmw/5ktsqTsaAQQt5cQjCbOWQ9DmTNJYSQ95eB3NGk3aey5mK2SpD0QJA0lhDCcH/eMwXijz/+KBRFMelMmywWLlwoAIhGjRqV2eaFF14QAMTIkSMrXN727dsFAKHRaERxcbHRNh988IEAILp162ZyzjsLRN2BfcExQBTmF5q8DIspLCz9tcrdR1BAQEk7RivJlV8oUh39S/0DLSTYn8xmGbIVFDqy5hKC2Uwl63Ega66ScJL+MpA7mrT7VNZczFaZcHIeCJLGKsl21/60dYGoehTTZ555BidOnMBTTz2FyMhIREREwMvLS/WlrraQlZUFAKhatWqZbXTzdG1NWV6VKlXKvP/SlOXl5+cjPz9f/zonJ8dgvgME/IpScPCLGLSa2L3CXJakxMbC6cKFshsIAaSkoHDnzpJhgW0oNlbBhQtlf4RvR8POnYXo0UPYLNffX8ShfVHZfWbP/clslqG7R9nUe5VtRdZcALOZStbjQNZcAH9PqSXrPpU1F8Bsasl6jN7Lx6e1qS4QQ0JCAAA3b97ElClTMGXKFNSoUQMeHh5G2yuKgjNnzqhdnUXonkno4uJSZhuNRgMAyMvLs9nyZs+ejRkzZlS4vn9+/wMXGtyosJ0l+cXFIdSEdkc2b0bqzZtWz3OnuDg/wIR0mzcfwc2bqdYPdNv134+hvQnt7LE/mc2ytm/fbu8IRsmaC2C2ish6HMiaC+DvKbVk3aey5gKYTS1Zj9F/w/FpLaoLxKSkpFLTrly5gitXrhhtL8MIp66urgCAgoKCMtvozuS5ubnZbHlvvvkmpkyZon+dk5ODgICAUu2aPtgZrfrb+FsfDw/AhMd+tOnXD61t/M2sh4diSjT069cGPXq0tn6g2/5O9AR+q7idPfYns1mGVqvF9u3b0bt3bzg7O9s1y51kzQUwm6lkPQ5kzQXw95Rasu5TWXMBzKaWrMfov+H4tBq116YmJSWZ/WNvvAdRBd0F2sbu4JXk3g7Zov3/dePGg8lxjwKzVYZM96zdSdZcQjCbqWQ9DmTNVRJO0l8GckeTdp/KmovZKhNOzgNB0lgl2e7an7a+B1H1cxCDgoLM/rG3hg0bAgDOnz+PwsJCo23Onj1r0NaU5eXn5+PixYuVXp4xxSg585oyJQqOLo6qllEpjo7A/Pkl/3/3WWDd66ioknY2Jms0RxdHnJ9SEky3/3TsvT+ZjUhush4HsuYCIO8vA0gdTdp9KmsuZqsESQ8ESWMBKH9/2oRNylBJZGdnC2dnZwFY7jmIvr6+ArDecxAvOAbIMbS/sYfEBARI8ZAYWaMZexaRLPuT2SpHpjNOd5I1lxDMZi5ZjwNZcwkh5P1lIHc0afeprLmYrRIkPRAkjSWEuAefg6iTn58vli1bJl544QXRv39/8eCDDxrM37t3r9i6dasotMf5WSP69esnAIgXX3yx1Lzly5cLAKJ69eoiPz/fpOWNGzdOABB9+vQpNW/Pnj0CgHB2dhaXLl0yOaOuQIyZtUGKy+n0CguFdvt2sX/KFKHdvt0+59zLUFgoxPbtWjFlyn6xfbtWmmiF+YXiwCf/Ez/2nyUOfPI/qfYns6knY0EhhLy5hGA2NWQ9DmTNJYTg7ymVZN2nsuYSgtlUk/QYlf34jJm14d4pEPft2ycCAwOFg4ODUBRFKIoiHBwcDNpMnz5dODg4iC1btlQqqKXs3r1bn3PFihX66UeOHBG1a9cWAMRHH31k8J7PPvtMBAUFiaeeeqrU8s6ePStcXFwEAPHxxx/r70VMSkoSjRs3FgDEuHHjzMqoKxAzMjJUbKF1yfqHlBDyZpM1lxDMppas2WTNJQSzqSVrNllzCcFsasmaTdZcQjCbWrJmkzWXEEJkZGTcG/cgnj17Fg8//DBSUlIwZMgQLF26FM2bNy/V7plnnoEQAmvWrFG7KosKCwvDzJkzUVxcjBEjRqB+/fpo3bo12rVrh7S0NAwYMABTp041eM+1a9eQnJyMy5cvl1pevXr1sHDhQjg4OGDatGkICAhAu3bt0LBhQ5w6dQrt27fH3LlzbbV5REREREREqqkuEGfNmoWcnBx88MEH+OWXXzBy5EhUqVKlVLsWLVqgWrVq2L9/f2VyWtTbb7+NX3/9FQ8++CAyMzORmJiIli1bIioqChs2bICjmXejPvvss9i1axcGDhyIvLw8nDhxAiEhIYiMjMTu3bvLfDYkERERERGRTFQ/B3H79u3w8fHBG2+8UWHb4OBgJCcnq12VVQwcOBADBw40qW1kZCQiIyPLbdOlSxf8+uuvFkhGRERERERkH6rPIF65cgX169eHcve4sEY4Ojrixo0baldFRERERERENqC6QKxSpQpSU1NNanvmzBnUrl1b7aqIiIiIiIjIBlQXiB07dkR6ejp27dpVbrv169fj6tWr6Natm9pVERERERERkQ2oLhAnTJgAIQQiIiLw999/G20TFxeHF198EYqiYMKECapDEhERERERkfWpLhD79u2LiRMn4syZMwgNDUXnzp1x+vRpACWjerZr1w7h4eHIyMjAG2+8gc6dO1ssNBEREREREVme6lFMASAqKgpNmzZFZGQk/vrrL/30ZcuWAQBq1KiB999/Hy+99FLlUhIREREREZHVVapABICxY8ciIiIC+/btw9GjR5GdnQ1PT080a9YM3bp1g0ajsUROIiIiIiIisrJKF4gA4OzsjO7du6N79+6WWBwRERERERHZgep7EImIiIiIiOjfxaQziOfPnwdQcqawTp06BtPMERgYaPZ7iIiIiIiIyDZMKhCDg4OhKAqaNGmC48ePG0wzlaIoKCwsVJeSiIiIiIiIrM6kAjEwMBCKoujPHt45jYiIiIiIiP4dTCoQk5KSTJpGRERERERE9y4OUkNEREREREQAWCASERERERHRbaoLxCNHjiAiIgIrV64st92KFSsQERGBo0ePql0VERERERER2YDqAvHbb7/F0qVLK3x0RVBQEKKjo/Hdd9+pXRURERERERHZgOoCMTY2Ft7e3ggLCyu3XVhYGHx8fLBz5061qyIiIiIiIiIbUF0gpqSkICQkxKS29erVw4ULF9SuioiIiIiIiGxAdYHo4OCAgoICk9pqtVoUFRWpXRURERERERHZgOoCsX79+jh58iQuXbpUbruLFy/in3/+Qb169dSuioiIiIiIiGxAdYH4yCOPoKioCC+88AK0Wq3RNoWFhRg7diyEEHj00UdVhyQiIiIiIiLrU10gTp48GXXq1MHmzZvRrl07LFq0CEePHkVKSgqOHj2KhQsXol27dti0aRN8fX0xdepUS+YmIiIiIiIiC3NS+8aqVavit99+w6OPPorjx49j7NixpdoIIRAUFIQNGzagatWqlQpKRERERERE1qX6DCIAtG7dGseOHcNHH32ELl26oGrVqnB0dESVKlUQFhaGTz75BEePHkWrVq0slZeIiIiIiIisRPUZRB0vLy+8/vrreP311y2Rh4iIiIiIiOykUmcQiYiIiIiI6N+DBSIREREREREBMPES04iICABAnTp18MEHHxhMM5WiKFi8eLGZ8YiIiIiIiMhWTCoQo6OjAQBNmjTRF4i6aaZigUhERERERCQ3kwrE77//HoqiwMfHRz9tyZIlVgtFREREREREtmdSgTh69OhS00aNGmXpLERERERERGRHJg1SExISgmHDhhlM++GHH7B161arhCIiIiIiIiLbM6lATEpKwsWLFw2mjR49Gh9++KFVQhEREREREZHtmVQgajQa5OTklJouhLB4ICIiIiIiIrIPkwrERo0a4fjx41i/fj3y8/OtnYmIiIiIiIjswKQCcfz48SgqKsLjjz8Od3d3ODo6AgD27NkDR0dHk36cnEwaD4eIiIiIiIjsxKSqbezYsXBwcMA333yDU6dOIS8vD4qimHWJKS9HJSIiIiIikptJZxAB4IUXXsChQ4dw8+ZNFBcXQwiBrl27ori42OQfIiIiIiIikpfJBeLdgoKCUKdOHUtmISIiIiIiIjsyqUB0dHREjx49DKaNHj0a/fr1s0ooIiIiIiIisj2TCkQhRKl7CGfMmIElS5ZYJRQRERERERHZnkkForu7OzIzM0tN58AzRERERERE/x4mjWLaokUL7N+/H1FRUejXrx/c3NwAAPn5+UhJSTG5UAwMDFSflIiIiIiIiKzKpALx9ddfxxNPPIGpU6di6tSp+ukHDhxAcHCwSStSFAWFhYWqQhIREREREZH1mVQgPv7449i6davBcxCTkpLg4uICX19fa2ckIiIiIiIiGzCpQASA3r17o3fv3vrXDg4O6NChA+Li4qwSjIiIiIiIiGzL5ALxbt27d0fr1q0tmYWIiIiIiIjsSHWBGBMTY8EYREREREREZG+qC8Q77dmzB7GxsUhNTcWtW7ewePFi/bykpCQUFBSgUaNGllgVERERERERWYlJz0EsS2JiIjp16oTu3bvj3XffxTfffIPo6GiDNh9//DGaNm2KXbt2VWZVFnPr1i28//77aNasGdzc3FCzZk0MGjQIf/zxh6rlBQcHQ1GUMn86d+5s4S0gIiIiIiKyDtVnENPS0tCjRw9cunQJHTp0wMCBA/Hjjz/izJkzBu1Gjx6NBQsWYM2aNejWrVulA1fGzZs30aNHDxw8eBAuLi5o3rw50tPTsXHjRmzatAnLli3DsGHDVC07NDQUGo2m1PTmzZtXNjYREREREZFNqC4QP/zwQ1y6dAkTJkzA559/DkVRsG3btlIFYseOHeHl5YW9e/dWOmxlTZ06FQcPHkSTJk2wZcsWBAUFobi4GJ988gmmT5+OiIgIhIWFISAgwOxl//LLLyY/E5KIiIiIiEhGqi8x/e9//wsPDw988sknUBSl3LYhISFISUlRuyqLuHTpkv7eyO+//x5BQUEASh7XMW3aNPTu3Rt5eXn45JNP7BmTiIiIiIjIblQXiKmpqWjYsKHRyyrvptFokJWVpXZVFrFx40YUFhaiadOmeOCBB0rNHzNmDABg9erVto5GREREREQkBdWXmHp6euLKlSsmtT1//jyqV6+udlUWoRuEJiwszOh83fSLFy8iJSXF7MtMZ86ciYsXL6KwsBCBgYHo06cPhg4dCkdHx8oFJyIiIiIishHVBWLbtm3x+++/4+jRo2jZsmWZ7WJjY3H58mUMHjxY7aosIiEhAUDJ5a7G+Pn5wcXFBQUFBUhISDC7QPz+++9LvW7RogXWr1+P+vXrqwtNRERERERkQ6oLxDFjxmDHjh2IiIjAxo0bUadOnVJtzpw5g4iICCiKghdeeKFSQStLd4lr1apVjc5XFAVVqlRBenq6WZfDhoWFITIyEl26dEFgYCCuX7+OzZs3480338SxY8fQp08fHDp0CD4+PmUuIz8/H/n5+frXOTk5AACtVgutVmtyFlvQ5ZEtFyBvNllzAcymlqzZZM0FMJtasmaTNRfAbGrJmk3WXACzqSVrNllzAbbPpAghhNo3P/nkk1i9ejV8fHzQt29f7Nu3DxcuXMDbb7+NY8eO4bfffkNBQQFGjhyJpUuXWjK32erXr4+zZ89i8eLFiIiIMNomMDAQKSkp+PHHH/HMM89Uan1JSUlo27Ytrl27hvfffx/vvvtumW0jIyMxY8aMUtNXrFgBd3f3SuUgIiIiIqJ7V25uLkaMGIHs7Gx4e3tbfX2VKhALCwvx7rvvIioqyuAMmKIoEELAxcUFkydPxgcffFCpe/GmTZuGjRs3mv2+JUuW6Aekad68OU6cOIFvvvkGL730ktH2tWvXRnp6OlavXo3HH39cdV6dt956C7Nnz0abNm1w+PDhMtsZO4MYEBCAS5cu2f3ezbtptVps374dvXv3hrOzs73jGJA1m6y5AGZTS9ZssuYCmE0tWbPJmgtgNrVkzSZrLoDZ1JI1m6y5ACAzMxN16tSxWYGo+hJTAHBycsLs2bMxdepU/Pbbbzh69Ciys7Ph6emJZs2aYcCAAUYvPTXXxYsXcerUKbPfd/PmTf3/6y4tLevyUSEErl27ZtC2snTFaWJiYrntNBqN0dFgnZ2dpfuA6jCb+WTNBTCbWrJmkzUXwGxqyZpN1lwAs6klazZZcwHMppas2WTMZes8lSoQdWrUqIFnn33WEosyatmyZVi2bFmlltGwYUPs2bMHZ8+eNTo/NTUVBQUF+raWoNuZhYWFFlkeERERERGRNal+DuK9plOnTgCAPXv2GJ2vm163bl2zRzAty/HjxwEA/v7+FlkeERERERGRNVW6QMzPz0d0dDRGjBiB0NBQNG7cGKGhoRgxYgSWLl1qcG+dPT366KNwcnLCP//8g3379pWav3jxYgCwyL2HQMnNpAsWLAAA9OrVyyLLJCIiIiIisqZKFYiHDh1Cs2bNMGbMGKxatQqHDh1CQkICDh06hFWrViEiIgLNmzfHoUOHLJVXtbp16+K5554DAERERCA5ORlAyb2Hc+fOxfbt2+Hq6orXXnut1Hu7du2K4OBgrF692mD6p59+im+++UZ/76LO2bNnMWDAACQmJsLd3d3oMomIiIiIiGSj+h7ECxcuoHfv3sjKykKNGjXwwgsvoHnz5qhduzbS0tJw/PhxLFq0CGfPnkXfvn1x5MgR+Pn5WTK72T799FMcOHAAhw8fRqNGjdC8eXOkp6cjNTUVjo6OWLRoEQIDA0u978KFC0hOTsaNGzcMpqekpGD+/Pl4+eWXERISgurVq+PatWs4ffo0hBDw9PTEypUrUb9+fVttIhERERERkWqqC8TZs2cjKysLQ4YMwY8//gg3N7dSbd59912MHDkSa9aswezZs/Hll19WKmxleXl5Yc+ePfj444+xcuVKnDhxAp6ennjkkUfw5ptv6kcdNdWwYcNQXFyMP//8EykpKTh//jxcXFzQokUL9O3bF6+88orRgpOIiIiIiEhGqgvEzZs3w8PDA9HR0UaLQwBwdXXFkiVLsGXLFvz222+qQ1qSm5sb3nvvPbz33nsmvycpKcno9M6dO6Nz584WSkZERERERGRfqu9BvHjxIpo2bQpPT89y23l6eqJp06a4dOmS2lURERERERGRDaguEL28vJCWlmZS27S0NHh4eKhdFREREREREdmA6gKxffv2uHDhAlatWlVuu5UrVyIlJQWhoaFqV0VEREREREQ2oLpAfOWVVyCEwKhRozB16lScO3fOYP65c+cwZcoUPPfcc1AUBRMnTqx0WCIiIiIiIrIe1QXigAEDMH36dGi1WkRFRaFBgwZwd3dHUFAQ3N3d0aBBA8yfPx8FBQV444030L9/f0vmJiIiIiIiIgtTXSACJY+62LhxIx544AEoioJbt24hJSUFt27dgqIoCAsLw6+//ooPPvjAUnmJiIiIiIjISlQ/5kJn4MCBGDhwIG7evInExETcuHEDnp6eaNCgAQemISIiIiIiuodUukDU8fDwQOvWrS21OCIiIiIiIrIxswrE48eP48yZM6hVq5ZJD4jft28frly5ggYNGqBZs2aqQxIREREREZH1mVwg5ubmok+fPsjIyMDOnTtNeo8QAkOHDkXdunVx6tQpaDQa1UGJiIiIiIjIukwepGblypW4dOkSxowZgy5dupj0ni5duuCFF15ASkpKhc9LJCIiIiIiIvsyuUBcv369qucZTp48GUIIrFmzxuxwREREREREZDsmF4iHDx9GnTp10KRJE7NW0LBhQ/j5+eHw4cNmhyMiIiIiIiLbMblAzMjIgJ+fn6qV1K1bFxkZGareS0RERERERLZhcoHo6uqKvLw8VSvJy8uDi4uLqvcSERERERGRbZhcINapUwdnzpxBfn6+WSvIz8/HmTNnULduXbPDERERERERke2YXCB269YNt27dwurVq81awS+//IK8vDx069bN7HBERERERERkOyYXiKNHj4YQAtOnT0dKSopJ7zl//jymTZsGRVEwatQo1SGJiIiIiIjI+kwuELt06YInnngCFy9eRKdOnfDLL7+guLjYaNvi4mL8/PPP6Ny5M9LS0vD4448jLCzMYqGJiIiIiIjI8pzMaRwdHY3U1FTs3bsXw4YNQ82aNREWFoZ69erBw8MDN2/exLlz57B3716kp6dDCIEHHngA0dHRVopPRERERERElmJWgejm5oaYmBhERkbiiy++QHp6OtatWwdFUfRthBAAAE9PT7zyyiuIjIyEs7OzZVMTERERERGRxZlVIAKAk5MTZs2ahWnTpmHTpk3Yu3cvUlNTcf36dXh5ecHPzw9dunRB//794ePjY43MREREREREZAVmF4g63t7eGD58OIYPH27JPERERERERGQnJg9SQ0RERERERP9uLBCJiIiIiIgIAAtEIiIiIiIiuo0FIhEREREREQFggUhERERERES3sUAkIiIiIiIiACwQiYiIiIiI6DYWiERERERERASABSIRERERERHdxgKRiIiIiIiIALBAJCIiIiIiottYIBIREREREREAFohERERERER0GwtEIiIiIiIiAsACkYiIiIiIiG5jgUhEREREREQAWCASERERERHRbSwQiYiIiIiICAALRCIiIiIiIrqNBSIREREREREBYIFIREREREREt7FAJCIiIiIiIgAsEImIiIiIiOg2FohEREREREQEgAUiERERERER3cYCkYiIiIiIiACwQCQiIiIiIqLbWCASERERERERgPusQIyJicHs2bMxePBg+Pn5QVEUKIqCCxcuVGq5xcXF+Pzzz9G2bVt4eHigWrVq6NWrFzZv3myh5ERERERERNbnZO8AtvTYY48hOzvbosssKirCoEGDsGnTJjg4OKBFixa4fv06duzYgR07dmDu3Ll47bXXLLpOIiIiIiIia7ivziA2b94co0ePxtdff40DBw5YZJlz587Fpk2bULt2bRw6dAjx8fE4e/Ysli9fDgcHB0ybNg379++3yLqISAJFRVBiY+EXFwclNhYoKrJ3Ivmxz4iIiO4Z99UZxD179lh0eQUFBfj4448BAJ999hlat26tnzdixAjExMRg4cKFmDVrFjZs2GDRdRORHaxdC0yaBKcLFxAKAPPmAf7+wPz5wJAh9k4nJ/YZERHRPeW+OoNoaTt37kRWVha8vb0xdOjQUvPHjBkDANi6dSuuX79u63hEZElr1wJDh0Lcdc+ySE0Fhg4tmW9PMp6lk73PADn7jYiIyI5YIFbCH3/8AQDo2LEjnJ2dS81v3749XF1dkZ+fjyNHjtg4HRFZTFERMGkShBBQ7pqlCAEhAEyebL/iYu1aIDgYTr17I3TePDj17g0EB9u3AJO9zwA5+42IiMjO7qtLTC0tISEBABASEmJ0vpOTEwICApCQkICEhAR069bNaLv8/Hzk5+frX+fk5AAAtFottFqthVNXji6PbLkAebPJmgtgNlMpsbFwunChVKGjnw8BpKSgcOdOiB49bJtt3To4DhsG3FWI6c7SFa1aBTF4sE0zAXL3GSBvv91NpuPgTrLmAphNLVmzyZoLYDa1ZM0may7A9plYIFZCVlYWAKBq1aplttHN07U1Zvbs2ZgxY0ap6Tt37oS7u3slU1rH9u3b7R2hTLJmkzUXwGwVqRMTh44mtDu0aTMu3bxp9Tx6RUXoM348HMs6SwegYMIEbHdyAhwdbZcLEvcZIHW/lUWG48AYWXMBzKaWrNlkzQUwm1qyZpMxV25urk3XxwKxEm7dugUAcHFxKbONRqMBAOTl5ZXZ5s0338SUKVP0r3NychAQEIDw8HBUr17dQmktQ6vVYvv27ejdu7fRy2rtSdZssuYCmM1Ufyd6AphXYTtH//7o37+79QPdpsTGwikzs+z5ANwzMjDA29vmZ+lk7TNA7n67m0zHwZ1kzQUwm1qyZpM1F8BsasmaTdZcAJBZzu8sa7gnCsRp06Zh48aNZr9vyZIleOCBB6yQqISrqyuAktFMy6K7dNTNza3MNhqNRl9I3snZ2Vm6D6gOs5lP1lwAs1UkwbcnasEffkiFA0Sp+cVQcAH+SPDtifbONjzjdOWKSc2crlwBbNyH0vYZIHW/lUWG48AYWXMBzKaWrNlkzQUwm1qyZpMxl63z3BMF4sWLF3Hq1Cmz33fTypctmXL5qCmXoRKR3Hz9HDEJ87EaQ1EMxaDgKb59keJkRGGin40LnTp1LNvOgqTtM0DqfiMiIrK3e2IU02XLlkEIYfZPr169rJqrYcOGAICzZ88anV9YWIjz588btCWie0+3bsB+/yF4AquRCj+DeRfgjyewGgcChqCMcaisG8zfH1DKGApGUYCAANg+mMR9pgsnab8RERHZ2z1RIMqqU6dOAIC//vrL6OhCBw8eRH5+PlxcXNCmTRsbpyMiS3F0LHmu+zplCOohCT2xE8OxAj2xEyE4h3XKEERF2WE8E10woHSxo3ttl2AS99md4QDp+o2IiMjeWCBWQnh4OKpWrYqcnBysXr261PzFixcDAPr27QsvLy9bxyMiCxoyBFi9Gqjj74hY9MQqDEcseqJugCNWry6Zb9dgfoZn6eDvD/sGk7jP7gwnYb8RERHZEwtEE3Tt2hXBwcGlikCNRoPXXnsNADBlyhTEx8fr561YsQKLFy+Goih4++23bZqXiKxjyBAgKQnYvr0QU6YcwPbthTh3ToJa4nawwu3bcWDKFBRu3w45gkncZ4DU/UZERGQv98QgNZbyyiuvYOXKlaWmt2rVCg4OJbVyWFgYNmzYYDD/woULSE5Oxo0bN0q9d9q0adi1axe2bNmCdu3aoUWLFrhx44b+vsTZs2frL0UlonufoyPQo4fAzZup6NGjtTxXITo6QvTogdSbN9G6Rw+pLo+Uts8AqfuNiIjIHu6rAvH69etGnyNy5yik2dnZZi3TyckJ//3vf/Hll19iyZIlSEhIgLOzMx588EFMmTIFAwYMqHRuIiIiIiIiW7ivCsTo6GhER0eb/b6kpKRy5zs6OmLSpEmYNGmSumBEREREREQS4D2IREREREREBIAFIhEREREREd3GApGIiIiIiIgAsEAkIiIiIiKi21ggEhEREREREQAWiERERERERHTbffWYi3uFEAJAyXMbnZ2d7ZzGkFarRW5uLnJycpjNRLLmAphNLVmzyZoLYDa1ZM0may6A2dSSNZusuQBmU0vWbLLmAkpqAuD/awRrY4EooczMTABAvXr17JyEiIiIiIhkkJmZCR8fH6uvhwWihKpVqwYAOH/+vE0+BObIyclBQEAAUlJS4O3tbe84BmTNJmsugNnUkjWbrLkAZlNL1myy5gKYTS1Zs8maC2A2tWTNJmsuAMjOzkZgYKC+RrA2FogScnAouTXUx8dHug+ojre3N7OZSdZcALOpJWs2WXMBzKaWrNlkzQUwm1qyZpM1F8BsasmaTdZcwP/XCFZfj03WQkRERERERNJjgUhEREREREQAWCBKSaPR4L333oNGo7F3lFKYzXyy5gKYTS1Zs8maC2A2tWTNJmsugNnUkjWbrLkAZlNL1myy5gJsn00RthovlYiIiIiIiKTGM4hEREREREQEgAUiERERERER3cYCkYiIiIiIiACwQCSyi9mzZyM0NBReXl6oXbs2nnzySSQlJdk7ltRk7rP58+ejefPm8PT0RJUqVfDQQw/hzz//tNn6Ze4bc8mwLfben0RERPbEAlEiy5Ytw9ixYxEaGgqNRgNFURAdHW3vWGQFsbGxeOWVV/Dnn39iy5YtuHbtGvr164fCwkJ7R5OWzH0WGBiIefPmIT4+Hnv37kX9+vXRt29fZGZm2mT9MveNuWTYFlvuz6lTp0JRFBw6dKjUvO+++w6KomD58uUWX68p3nrrLSiKgtWrVxud//3330NRFMyePdvqWWTtJ5n6iCyDnzWyNnM/Y3b5TAqSRlBQkAAgatSoof//JUuW2DsW2cD58+cFABEfH2/vKPcMmfssOztbABAxMTF2Wb/MfWMuGbbFmvszPDxcODs7i1u3bpWaN3bsWAFAHDt2zOLrNcXKlSsFABEZGVlqXm5urvD39xf+/v4iNzfX6llk7SeZ+qgiU6ZMEQDEwYMHS8379ttvBQCxbNkyOyQT4s033xQAxC+//GJ0/uLFiwUA8eGHH1o9Cz9r5uNnyzzmfsbs8ZnkGUSJLFq0CElJSbhy5Qpeeukle8chG8rOzgYAVKtWzc5J7h2y9llBQQG+++47VK1aFS1btrRLBln7Rg17b4u19+eRI0fQrFkzo8+2OnjwIFxdXdGkSROLr9cUuu09fvx4qXnz58/HhQsXMGvWLLi5uVk9i6z9JFMfVeTw4cNwdnZG8+bNS83TnZlo06aNjVOVaNWqFQDj/ZiXl4f33nsP/v7+mDx5stWz8LNmPn62zGPuZ8wun0mLlptkMbNnz5bmDKKs3wzJ+K2QGkVFRaJPnz6if//+Fl2uOfvtXutLa/VZZcTFxQkPDw/h4OAg6tatKw4cOGCXHDL2jVr23BZb7M+zZ88KAOK5554rNa+goEBoNBoRGhpq8fWaSqvVCo1GI5o1a2YwPTMzU/j4+IhWrVqJoqIiq+eQuZ9k6SNTVK1aVbRu3drovNDQUOHq6ioKCwttG+q2Y8eOCQDiiSeeKDVP9/dQdHS01XPws6YOP1umM/czZq/PJM8gUoVk/WZIxm+FzCWEwNixY3Hu3DmL329qzn67l/rSmn1WGaGhoThy5Aj27t2Lfv364cknn0RGRoZNM8jaN2rYe1tssT91x2Hbtm1LzTt+/Djy8/Pt9q07ADg5OaFJkyZISEiAVqvVT581axays7Mxd+5cODhY/88ImftJlj6qyLlz55CVlYV27dqVmqfVanH06FG0aNECjo6OdkgHNG7cGBqNptTvoKtXr2LOnDlo1aoVRo4cafUc/KyZj58t85j7GbPXZ9L+/2qR9Hi5RcXU3EAshMD48ePxv//9Dzt27EDNmjUtmsmc/WaPvlRzw721+0xHzf50c3NDgwYN0KlTJyxatAgODg5YsmSJzdZfUd9YcoADc/LJsJ/VZLDk/izL4cOHAcDoH1YHDx4EYL/LsnRatWoFrVaL06dPAwCSkpLw9ddfo0+fPujTp49NMsjeTzL0UUVkLnwAeYofftbMx8+Wecz9jNnrM8kCkcol8zdDMn0rZO5ZViEEJkyYgE2bNuH3339HQECARfOYu9/s0ZfmnrW0dp/dyRJnzYUQyM/Pt8n6TekbS54ltubZaWvsZ0tse2X2Z1mOHDkCRVHQunXrUvO2bt0KwHA/+/r64scffzRot2zZMgQEBCAvL8+i2XR0Xx6dOHECAPDOO+9Aq9Xi448/NmhnzWyW7idLZ7VUH1mzD2UvfAA5ih9zP2vff/89fHx8kJWVBQAoLCxEnz599CMv2+uzZstc/GyZx9zPmN1+T1j8olWyCFnuQVy9erUAID7//PNS8w4fPiwAiOeff94OyUq0bt1aODs7i4KCAv20V199VQAQW7dutVkOc6+/f+mll0SVKlXErl27xKVLl/Q/+fn5FsmjZr/Zui/NvS/A2n12J3P357Rp08Tu3btFUlKSOHTokHj++eeFRqMRJ06csMn6TekbS96HYU4+GfazuRksvT/L0qhRI+Hr61tqenJysnB3dxeKooicnBz99EceeUS88sor+td5eXkiMDBQLF261KK57rRlyxYBQLz33nvi0KFDQlEUMWrUqFLtrJnN0v1k6ayW6iNr9uGAAQOEoiji+vXrpeY98cQTAoDYvXu3ftrixYuFt7e3uHr1qhCi5P633r17i4cfflhotdpK5zHm448/FgDEzz//LIQQ4umnnxYODg7iyJEjBu2smc3cz1phYaFo2LCheO+994QQQjz//POiTZs2+jb2+qzZMpelP1vW2L+W+mxZIpu5nzF7/Z5ggSgpWQrEt99+u9TBrbNo0SIBQHz55Zd2SFZi5MiRBsP7njt3Tmg0GtGnTx+bZVBzAzEAoz87d+60SCY1+83WfWnuDffW7jMdNfvzmWeeEf7+/sLFxUX4+vqKRx55RPz11182W78pfWOpAQ7MzSfDfjY3gyX3Z3latmwpnJ2dRXp6un5aamqq6NChgwAgGjRoYNB+5syZ4oEHHtC//vDDD0Xbtm1FcXGxxbPdmQeAGDp0qOjVq5dwc3MT58+fL9XOmtks3U+WzmqpPrJmH1q68LEGSxU/lWHuZ00IIZYvXy6qVKki3nzzTREQECBSU1P18+z1WbNlLkt/tqyxfy312bJENnM/Y/b6PcECUVKyFIjmfjNka6Z+K2RNMp5lVbPf7NGXspwBvpO996c112+J/r4Xzk4bI0OGu+lGGq5Xr554+eWXxZNPPil8fHzE6NGj9X8E3mnbtm3Czc1NaLVakZ6eLry9vcWOHTusnrN69erC3d1dABBvvvmm0TbWzGbpfrJGVkv0kTX70NKFjzVYqvipDHM/a0KUjLbcoEED4eXlJY4ePWowz16fNVvmssZny9L715KfrcpmM/czZq/fEywQJSVLgWjuN0O2Zuq3QtYk41lWNfvNHn0pwxngu9l7f1pz/Zbo73vh7LQxMmS42/Xr18ULL7wgatasKTw9PUWPHj3Exo0bxbZt2wQAMWvWLIP2165dE4qiiCNHjohx48aJAQMG2CRnz549BQBRo0YNkZ2dbbSNNbNZup+skdUSfWTNPrR04WMtlih+KsPcz5oQQqxZs0ZoNBrh4eEh0tLSDObZ67Nmy1zW+GxZY/9a6rNV2Wzmfsbs9XuCBaKkZCkQ1XwzZEvmfCtkLTKeZVWz3+zRlzKcAb6bvfenNddvif6+V85O302GDJbQuHFjMXXqVKHRaMTx48ftHceATNkqymKvrPbKZenCx1osUfzY0r59+4Snp6fYsGGDCA0NFZMnTy7Vxh6fNVvmssZnyxr711KfLVk+e+WxxL5lgSiRhQsXilGjRolRo0aJdu3aCQAiLCxMP23dunU2z6TmmyFbM/VbIWuR8Syr2v1m676U4Qzw3ey9P625fkv0971ydvpuMmSwhGeffVYoiiLGjh1r7yilyJStoiz2yiprrruZUmDYiyzZEhMTRc2aNcUXX3whhBBiw4YNwtXVtdQlh7bep7Lm0qlo/9lz/8qczRyW2LcsECUyatSoMgdo0P1hY2tqvhmyNVO/FbIWGc+yqt1vtu5LGc4A383e+9Oa67dEf98rZ6dlzGAJn3zyifD09BSXL1+2d5RSZMpWURZ7ZZU1151MLTDsQZZsmZmZolGjRuLVV181mN62bVsxbtw4g2m23Key5tKpaP/Zc//KnM1clti3LBCJKuleOMsqM3ufAb6bvfentddf2f6+V85Oy5qhMoqLi0WHDh3EzJkz7R2lFJmyVZTFXlllzXUncwoMW5M5W1lk2KfG2CNXRfvPnvtX5mzmstS+ZYFIVEn3wllWmdn7DPDd7L0/rb3+yvb3vXJ2WtYMahQVFYnLly+Ld999V9SvX1/k5eXZO5KeTNkqymKvrLLmIuuRdZ/Kmosqz9L7lgUiERGRxHbu3CkcHBxEixYtpBtUR6ZsFWWxV1ZZc5H1yLpPZc1FlWfpfasIIQSIiIiIiIjovudg7wBEREREREQkBxaIREREREREBIAFIhEREREREd3GApGIiIiIiIgAsEAkIiIiIiKi21ggEhEREREREQAWiERERERERHQbC0QiIiIiIiICwAKRiIhsoGfPnlAUBTExMQbTR48eDUVREB0dbdbyoqOjoSgKRo8ebbGMtpaUlARFURAcHFxqXnBwMBRFQVJSksH0svqRiIjIUlggEhHdA/bs2YMXX3wRTZo0gY+PDzQaDfz8/DBw4EAsWrQIN2/etHfEe9r69esRGRmJI0eO2DsKmeDatWuIjIxEVFSUvaMQEf3rsEAkIpJYbm4unnrqKXTt2hULFy5EcnIyAgIC0KpVKwghsGnTJrzwwgto2LAhjh49au+4ZqtTpw4aN24MHx8fu+ZYv349ZsyYIU2BWL9+fTRu3BjOzs72jiKla9euYcaMGSwQiYisgAUiEZGktFot+vTpg59//hm+vr5YunQprl69imPHjmH//v24ePEijh8/jrFjx+LKlSs4c+aMvSObbfbs2Th58iQGDx5s7yhS2bFjB06ePAk/Pz97RyEiovuMk70DEBGRcTNmzMCePXtQu3Zt7Nu3z+i9as2aNcOCBQvwzDPPwMGB3/kRERFR5fCvCSIiCWVnZ+Pzzz8HAERFRRktDu/UtWtXdOnSRf86Ly8PK1euxLBhw9C4cWN4enrC09MTbdq0waxZs8q8Z/HOwVH++OMP9OvXD1WrVoWHhwe6deuG33//vcwMGRkZGD9+PPz8/ODq6orGjRtj5syZ0Gq1Zb6nvEFqhBBYtGgR2rRpAzc3N9SqVQvDhg1DYmJimcsrKirChg0bEBERgebNm8PHxwfu7u5o2rQppk2bhoyMDIP2uoFili5dCgB47rnnoCiK/icyMtKgfWFhIRYsWICuXbuiSpUqcHV1RZMmTfDOO+8gJyenzFzmKmuQmjv99ddfGDBgAKpVqwYPDw906dIF69evN9r2zn4+d+4cRo8eDT8/Pzg5Oem30dy+07lz4JwjR45g6NChqF27NhwcHBAdHY1hw4ZBURR8+umnZW7L6tWroSgKOnToUGHfjB49GvXq1QMAJCcnG+wvRVFKtT958iQiIiIQHBwMjUaD6tWrY8CAAWV+lu/s+507d6Jfv36oUaOGweBAd65r3bp16NKlCzw9PVG7dm2MGjUKly9f1i9vyZIlaN++PTw8PFCrVi289NJLyM7ONrruX3/9FX379kWNGjXg7OyMmjVrolWrVnjllVfwzz//VNg3REQWIYiISDrLly8XAETNmjWFVqs1+/27du0SAISTk5Pw9/cXoaGhomHDhsLJyUkAEO3atRO5ubml3hcUFCQAiC+++EI4OzuL6tWri/bt2wsfHx/98nbu3FnqfZcuXRIhISH6Nm3atBENGzYUAMTAgQNF9+7dBYBS7x01apQAIJYsWVJqmePGjRMABAARHBws2rVrJzQajahSpYp46623BAAxatQog/ekpKQIAMLBwUHUqVNHtGvXTjRp0kS4urrql3P58mWD3GFhYaJWrVoCgGjYsKEICwvT/yxevFjfNjs7W78dDg4OIigoSLRo0UK4uLgIAKJp06YiLS3N5H107tw5AUAEBQWVuR/OnTtnML1Hjx4CgHj//feFi4uL8PT0FKGhoaJOnTr6vvr0009LLU/Xz2+88YaoUqWK0Gg0+r6JjIxU1Xd3Z5oxY4bQaDTC09NTtG/fXoSEhIglS5aIrVu3CgCiZcuWZfbFwIEDBQDx5ZdfVthvH3zwgQgNDRUAhEajMdhfYWFhBm1/+ukn/f7x8vISbdq0Eb6+vgKAUBRFfP7552X2/YcffigcHBxE1apVRYcOHYS/v7/+86vr688//1wAEP7+/qJ169ZCo9EIAKJZs2YiLy9PTJw4UQAQISEhonnz5vrjr0ePHqK4uNhgvV988YV+ub6+vvpjVtf/n332WYV9Q0RkCSwQiYgkNGHCBAFAPPbYY6ren5SUJH7++Wdx/fp1g+mXLl0SQ4cOFQD0hcGddH8cOzs7i9mzZ4vCwkIhhBAFBQXi6aefFgBEp06dSr1v8ODB+sLz/Pnz+uk7duwQXl5ewtnZ2awCccOGDfoCYM2aNfrp6enpomfPnvrl3V0gXrt2TURHR4vMzEyD6VlZWeLll18WAMTo0aNL5S+vUNUZNmyYACAeeughcebMGf30q1eviiFDhggAYujQoWW+/26VKRCdnJzEsGHDxI0bN4QQQhQXF+uLFScnJ3HkyBGj2+fo6CgeffRRg/7Jy8sTQqjvO10mR0dH8eKLL4qbN2/q5+Xm5oqioiIRGBgoAIhDhw6Ven9aWppwcnISLi4updZdlvL6Tic+Pl5oNBrh6uoqvvvuO1FUVKSft3HjRuHt7S0cHR1L9ZWu7x0dHcWMGTP0X9AUFxeLW7duCSH+v0D08PAQK1as0L83JSVFNGjQQH/s+vj4iP/973/6+X///beoVq2aACB+++03/XStViuqVq0qnJycxLp16wzyaLVa8euvv4rY2FiT+oaIqLJYIBIRSeixxx4TAMSrr75q8WXn5uYKFxcX0bBhw1LzdH8cP/LII6XmXblyRX+G5OrVq/rpCQkJQlEUAUAcO3as1PvmzZun/4Pa1AKxa9euAoB4/fXXSy3v0qVL+rNCdxeIFQkICBDu7u6lzspWVCDGx8frC5KcnJxS82/evCkCAgKEoigiKSnJpCyVKRBr1aqlL+zupCtUn332WaPb5+vrqy8qzVVW3+kytW7d2qAIu9O7774rAIhJkyaVmqf7fFiquNbR9cX8+fONztedsYuIiDCYXt4xoKP7PBvbnm+//VY/39hZvzfeeEMAEBMnTtRPu3TpkgAg2rZtW+Y6iYhshfcgEhFJ6Pr16wAADw8P1csoLi7Ghg0bMGHCBPTr1w/dunVD165d0bt3byiKgoSEBOTm5hp97/PPP19qWo0aNfT3Qp49e1Y/fdu2bRBCoHv37mjevLnRZbm4uJic+8aNG9i7dy8AYNy4caXm+/r6YsiQIeUu4/fff8err76KAQMGoHv37ujatSu6du2K7Oxs5ObmIiEhweQ8QMl9ZgDw5JNPwsvLq9R8d3d39OrVC0II7Nq1y6xlqzFmzBi4urqWmj5+/HgAwNatW42+7/HHH6/wM6W278obKEl3b+eKFStK3ZOqu/9z9OjR5eYyR0FBAX777Tc4OjqWudxHH30UABAbG2t0/rPPPlvhesaMGVNqWps2bfT/HxERUWp+27ZtARgeQzVr1oRGo8Hp06cRHx9f4XqJiKyJo5gSEUlIV4SUNZhMRa5du4b+/ftj37595bbLysqCu7t7qen169c32r5WrVo4deoUbty4oZ92+vRpAEDTpk2NvsfLywt+fn44d+6cSdkTExNRXFwMV1dX/WAkdytrXQUFBXjqqafKHKxF5+rVqyZl0dE9Y3LdunX64vVuycnJAIDU1FSzlq1GWduvm56WloacnBx4e3ub9D6g8n1X3rLr1auHnj17YufOndi8ebO+OIuPj0d8fDx8fX3x8MMPl7tec5w+fRq3bt2Ci4sL+vfvb7SNEAJA2furvO3RMXac1KxZU//fu/v/zvl3HkOOjo6YOHEi5s6di3bt2iEsLAzh4eH6L3WMfRlARGQtLBCJiCSke/6dqUXV3aZMmYJ9+/ahcePG+PDDD9G5c2fUqFFDfybP398fqampZY4wWtZZJt0ZIt0f18D//6Gr+8PXmNq1a5u8Lbrl1ahRo9zlGTNnzhysX78evr6++Pjjj9G9e3f4+vpCo9EAKBntdc+ePeWOrGqMbtTJxMTEckdRBUpGkLW2WrVqVTj9+vXrpQqU8s4eVrbvKjozGRERgZ07d2Lp0qX6AlF39vCZZ56Bo6Njue83h25/FRQUYM+ePeW2vXXrltHpppy9N/blim50U2Pz7px/5zEElPS/n58fvvrqK+zatUt/Jtrb2xvjx49HZGSkfl8QEVkTLzElIpKQ7pEVe/fuRWFhoVnvLSwsxM8//wwA2LBhA4YMGYK6devqi8PCwkKDYfgry9PTEwBw5cqVMtukp6ebvbyyHqtQ3vKWL18OAIiOjsbIkSMRFBRk8Ed1SkqKyTmMZVq4cCFEyf37Zf7c/WgMayirr++cbuxS2PJYq+90Hn/8cfj4+OC///0vMjMzUVhYiBUrVgCw7OWlwP/vLz8/vwr3192Fmr04ODhg0qRJOH36NM6dO4elS5di2LBhuHXrFubMmYOpU6faOyIR3SdYIBIRSah///7w9PREeno6Vq9ebdZ7r1y5gps3b6JatWpo3LhxqfnHjh1DUVGRpaKiUaNGAEqeN2fMjRs3cOHCBZOX16BBAzg4OODWrVtlPgewrGfC6drf+UxInczMzDIvJzT2/Lw7NWvWDEBJ38mgrO3XTa9du7bRyxvLo7bvTOXm5oZhw4ahoKAAK1euxObNm5GWlobQ0FCj966Wp6L91bBhQzg7O+PSpUtmX04sg+DgYDz77LNYuXIlNm7cCAD4/vvvUVxcbOdkRHQ/YIFIRCShKlWq4JVXXgEATJ48udwHpgPAnj179PfGubm5AQBycnKMXu748ccfWzRrnz59AABxcXE4ceJEqfmLFi1CQUGBycvz9PTEAw88AABYsGBBqflpaWlYu3at0ffqtj0tLa3UvE8//bTMwlj3vrIuDx08eDAAYNmyZcjMzKxgC6xv8eLFyM/PLzX966+/BvD/+8QcavvOHLpBW5YuXVqpwWkq2l/u7u7o27cviouL8fnnn6sLK4nOnTsDKNnWrKwsO6chovsBC0QiIklFRkbigQceQFpaGh544AH8+OOPpe6XOn36NCZMmICePXvqL7usUqUKmjdvjsLCQrz66qv64qyoqAgfffQRfvrpJ7NGFa1IgwYNMGjQIAghMGrUKIOzhTExMYiMjISzs7NZy3zttdcAAPPnzzcYNCUjIwNPP/10mWdSunbtCgCYOnWq/l5GIQR++OEHfPLJJ2UO9hESEgKgpMg1dslhaGgonnzySWRmZqJ37944fPiwwfyioiLExMTg6aefNlq4WVpmZibGjBmjH8RICIGvv/4aa9euhaOjI6ZMmWL2MtX2nTk6duyIFi1a4MCBA9iwYQNcXFwwfPhws5dTs2ZNeHl5IT09vcyzqTNnzoRGo8GsWbMwZ86cUsXkpUuXMH/+fKNfQtjaiRMnMHbsWOzfv9/g85efn48PPvgAABAUFITq1avbKyIR3U9s8zQNIiJS4/r16+Lxxx/XP1fNzc1NtGjRQnTo0EH4+fnpp/v7+4ujR4/q37dx40b9swmrVasmQkNDRY0aNQQA8e6775b5nL2ypuvonnl39/MMU1NTRXBwsAAgnJ2dRdu2bUWjRo0EADFgwADRvXt3s56DKIQQL774on776tWrJ9q3by9cXV1FlSpVxFtvvWX0OYgHDhzQP6vR29tbtG/fXtStW1cAECNHjiwzf2Jiov7ZikFBQaJbt26iR48eBrmuX78uevfurc8UGBgoOnXqJFq2bCnc3Nz00409n9CYyjwH8f333xcuLi7Cy8tLhIaG6rcRgPj4449LLa+i5zxWpu/Kml6WTz/9VJ/VnGcf3i0iIkIAEK6uriI0NFT06NFD9OjRw6DN2rVrhbu7u75dmzZtRMeOHUVAQIA+w/Tp0w3eU9ExIMT/PwfRmIqe0bhz504BwCDr4cOH9cusUqWKaNeunWjbtq3w8fERAISLi4v47bffTOkWIqJK4xlEIiKJeXp6YvXq1YiLi8OYMWMQEBCApKQkxMfHQwiBAQMGYPHixTh9+jRatGihf98jjzyCzZs3o0uXLsjLy8OpU6fQoEEDLFu2DO+//77Fc9atWxd//fUXXnrpJdSoUQMnTpyAEALvv/8+1q1bV+E9Y8YsWLAA3377LVq1aoWLFy/i/PnzePTRR7F//340bNjQ6Hvat2+PuLg49O7dG8XFxTh58iRq1aqFzz//XH9JozH169fHr7/+ih49eiArKwu7d+9GbGyswaW9np6e2LJlC5YvX46+ffsiNzcXhw4dQkZGBlq1aoXp06fjr7/+sskjCbp164Zdu3aha9euSExMRFZWFjp37oy1a9fi9ddfV7VMtX1nrpEjR+pHLK3M4DTz58/HpEmT4Ovri/j4eMTGxpZ6puHgwYNx4sQJTJo0CcHBwTh16hROnDgBd3d3DB48GEuXLsUbb7xRmc2xiIYNG2LhwoV44oknULNmTZw+fRoJCQnw8/PDSy+9hBMnTqBfv372jklE9wlFCEmG7yIiIqJ/vZMnT6Jp06bw9fXFhQsXLPp4CyIiqjyeQSQiIiKbWbx4MQDDM4lERCQPnkEkIiIimzh37hxat26N3NxcnDp1CvXr17d3JCIiuouTvQMQERHRv9vkyZPx119/IT4+Hrm5uXjxxRdZHBIRSYqXmBIREZFVHTlyBPv27YOXlxcmTpyIqKgoe0ciIqIy8BJTIiIiIiIiAsAziERERERERHQbC0QiIiIiIiICwAKRiIiIiIiIbmOBSERERERERABYIBIREREREdFtLBCJiIiIiIgIAAtEIiIiIiIiuo0FIhEREREREQFggUhERERERES3/R/WnwtHuyE7ewAAAABJRU5ErkJggg==", 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" ] }, - "metadata": { - "needs_background": "light" - }, + "metadata": {}, "output_type": "display_data" } ], "source": [ - "# Show boosting functionality with 2D PDEs where 1/3 the data is used\n", - "optimizer = ps.STLSQ(threshold=40, alpha=1e-5, normalize_columns=True)\n", - "model = ps.SINDy(feature_library=pde_lib, optimizer=optimizer)\n", - "model.fit(u_train, \n", - " x_dot=u_dot_train,\n", - " ensemble=True, \n", - " n_models=10, \n", - " n_subset=np.product(u_train.shape[:-1]) // 3,\n", - " unbias=False\n", - ")\n", + "# Plot boosting results with error bars\n", "xticknames = model.get_feature_names()\n", "num_ticks = len(xticknames)\n", - "\n", - "# Plot boosting results with error bars\n", - "mean_coefs = np.mean(model.coef_list, axis=0)\n", - "std_coefs = np.std(model.coef_list, axis=0)\n", + "mean_coefs = np.mean(model.optimizer.coef_list, axis=0)\n", + "std_coefs = np.std(model.optimizer.coef_list, axis=0)\n", "colors = ['b', 'r', 'k']\n", "feature_names = ['u', 'v']\n", "plt.figure(figsize=(10, 4))\n", @@ -1188,19 +1160,17 @@ }, { "cell_type": "code", - "execution_count": 16, + "execution_count": 24, "metadata": {}, "outputs": [ { "data": { - "image/png": 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", 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" ] }, - "metadata": { - "needs_background": "light" - }, + "metadata": {}, "output_type": "display_data" } ], @@ -1314,7 +1284,7 @@ }, { "cell_type": "code", - "execution_count": 17, + "execution_count": 25, "metadata": {}, "outputs": [], "source": [ @@ -1338,15 +1308,15 @@ }, { "cell_type": "code", - "execution_count": 18, + "execution_count": 33, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ - "(x0)' = 0.011 1 + 0.043 x0 + -1.027 x0x1x1 + 0.020 x0_33 + 0.025 x0_22 + 0.022 x0_11\n", - "(x1)' = -0.037 x1 + 1.041 x0x1x1 + 0.010 x1_33 + 0.011 x1_22 + 0.013 x1_11\n" + "(x0)' = 0.015 1 + -0.244 x0x0x0 + -1.342 x0x1x1 + 0.015 x0_22 + 0.019 x0_11\n", + "(x1)' = -0.038 x1 + -0.097 x1x1x1 + 1.130 x0x1x1 + -0.318 x0x0x1 + 0.012 x1_22 + 0.009 x1_11\n" ] } ], @@ -1364,8 +1334,7 @@ " lambda x, y: x + x + y,\n", "]\n", "pde_lib = ps.PDELibrary(\n", - " library_functions=library_functions,\n", - " function_names=library_function_names,\n", + " function_library=ps.CustomLibrary(library_functions=library_functions,function_names=library_function_names),\n", " derivative_order=2,\n", " spatial_grid=spatial_grid,\n", " include_bias=True,\n", @@ -1374,8 +1343,9 @@ " periodic=True\n", ")\n", "\n", - "optimizer = ps.SR3(threshold=5, normalize_columns=True, \n", - " max_iter=5000, tol=1e-10)\n", + "# optimizer = ps.SR3(threshold=5, normalize_columns=True, \n", + "# max_iter=5000, tol=1e-10)\n", + "optimizer = ps.STLSQ(alpha=1e-8, threshold=10, normalize_columns=True, unbias=False)\n", "model = ps.SINDy(feature_library=pde_lib, optimizer=optimizer)\n", "model.fit(u_train, x_dot=u_dot_train)\n", "model.print()" @@ -1383,19 +1353,17 @@ }, { "cell_type": "code", - "execution_count": 19, + "execution_count": 27, "metadata": {}, "outputs": [ { "data": { - "image/png": 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", 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", 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" ] }, - "metadata": { - "needs_background": "light" - }, + "metadata": {}, "output_type": "display_data" } ], @@ -1423,11 +1391,18 @@ "### Despite the very low resolution, can do quite a decent job with the system identification!\n", "We used only 50 timepoints and a 32 x 32 x 32 spatial mesh, and essentially capture the correct model for a 3D PDE!" ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] } ], "metadata": { "kernelspec": { - "display_name": "Python 3", + "display_name": "Python 3 (ipykernel)", "language": "python", "name": "python3" }, @@ -1441,7 +1416,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.7.4" + "version": "3.11.5" }, "toc": { "base_numbering": 1, diff --git a/examples/11_SSR_FROLS_examples.ipynb b/examples/11_SSR_FROLS_examples.ipynb index e530f4e3d..42977cfd7 100644 --- a/examples/11_SSR_FROLS_examples.ipynb +++ b/examples/11_SSR_FROLS_examples.ipynb @@ -11,7 +11,7 @@ "Jupyter notebook written by Alan Kaptanoglu and Jared Callaham.\n", "\n", "An interactive version of this notebook is available on binder\n", - "[![Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/dynamicslab/pysindy/v1.7?filepath=examples/11_SSR_FROLS_examples.ipynb)" + "[![Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/dynamicslab/pysindy/v1.7.3?filepath=examples/11_SSR_FROLS_examples.ipynb)" ] }, { diff --git a/examples/12_weakform_SINDy_examples.ipynb b/examples/12_weakform_SINDy_examples.ipynb index 21d79fb7f..47833dc87 100644 --- a/examples/12_weakform_SINDy_examples.ipynb +++ b/examples/12_weakform_SINDy_examples.ipynb @@ -12,7 +12,7 @@ "As of release 1.7, the weak formulation is vectorized and much faster to compute. The \"num_pts_per_domain\" variable is now deprecated. It can still be passed to the WeakPDELibrary to avoid breaking old code, but it will raise a DeprecationWarning and do nothing to the library.\n", "\n", "An interactive version of this notebook is available on binder\n", - "[![Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/dynamicslab/pysindy/v1.7?filepath=examples/12_weakform_SINDy_examples.ipynb)" + "[![Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/dynamicslab/pysindy/v1.7.3?filepath=examples/12_weakform_SINDy_examples.ipynb)" ] }, { @@ -38,6 +38,7 @@ "\n", "# Ignore matplotlib deprecation warnings\n", "import warnings\n", + "\n", "warnings.filterwarnings(\"ignore\", category=UserWarning)\n", "warnings.filterwarnings(\"ignore\", category=FutureWarning)\n", "\n", @@ -46,9 +47,9 @@ "\n", "# integration keywords for solve_ivp, typically needed for chaotic systems\n", "integrator_keywords = {}\n", - "integrator_keywords['rtol'] = 1e-12\n", - "integrator_keywords['method'] = 'LSODA'\n", - "integrator_keywords['atol'] = 1e-12" + "integrator_keywords[\"rtol\"] = 1e-12\n", + "integrator_keywords[\"method\"] = \"LSODA\"\n", + "integrator_keywords[\"atol\"] = 1e-12" ] }, { @@ -70,9 +71,9 @@ "(x0)' = -9.999 x0 + 9.999 x1\n", "(x1)' = 27.992 x0 + -0.999 x1 + -1.000 x0 x2\n", "(x2)' = -2.666 x2 + 1.000 x0 x1\n", - "(x0)' = -10.000 x0 + 10.000 x1\n", - "(x1)' = 28.000 x0 + -1.000 x1 + -1.000 x0x2\n", - "(x2)' = -2.667 x2 + 1.000 x0x1\n" + "(x0)' = -9.913 x0 + 9.929 x1\n", + "(x1)' = 27.912 x0 + -0.929 x1 + -0.949 x0 x2\n", + "(x2)' = -2.612 x2 + 0.948 x0 x1\n" ] } ], @@ -82,8 +83,9 @@ "t_train = np.arange(0, 10, dt)\n", "t_train_span = (t_train[0], t_train[-1])\n", "u0_train = [-8, 8, 27]\n", - "u_train = solve_ivp(lorenz, t_train_span, u0_train, \n", - " t_eval=t_train, **integrator_keywords).y.T\n", + "u_train = solve_ivp(\n", + " lorenz, t_train_span, u0_train, t_eval=t_train, **integrator_keywords\n", + ").y.T\n", "\n", "# Instantiate and fit the SINDy model with u_dot\n", "u_dot = ps.FiniteDifference()._differentiate(u_train, t=dt)\n", @@ -95,23 +97,22 @@ "# defaults to derivative_order = 0 if not specified,\n", "# and if spatial_grid is not specified, defaults to None,\n", "# which allows weak form ODEs.\n", - "library_functions = [lambda x: x, lambda x: x * x, lambda x, y: x * y]\n", - "library_function_names = [lambda x: x, lambda x: x + x, lambda x, y: x + y]\n", + "# library_functions = [lambda x: x, lambda x: x * x, lambda x, y: x * y]\n", + "# library_function_names = [lambda x: x, lambda x: x + x, lambda x, y: x + y]\n", + "\n", "ode_lib = ps.WeakPDELibrary(\n", - " library_functions=library_functions,\n", - " function_names=library_function_names,\n", + "# library_functions=library_functions,\n", + "# function_names=library_function_names,\n", + " function_library=ps.PolynomialLibrary(degree=2,include_bias=False),\n", " spatiotemporal_grid=t_train,\n", " is_uniform=True,\n", " K=100,\n", ")\n", "\n", + "\n", "# Instantiate and fit the SINDy model with the integral of u_dot\n", "optimizer = ps.SR3(\n", - " threshold=0.05, \n", - " thresholder=\"l1\", \n", - " max_iter=1000, \n", - " normalize_columns=True, \n", - " tol=1e-1\n", + " threshold=0.05, thresholder=\"l1\", max_iter=1000, normalize_columns=False, tol=1e-1\n", ")\n", "model = ps.SINDy(feature_library=ode_lib, optimizer=optimizer)\n", "model.fit(u_train)\n", @@ -137,10 +138,12 @@ "t_train_span = (t_train[0], t_train[-1])\n", "u0_train = [-8, 8, 27]\n", "u0_test = [8, 7, 15]\n", - "u_train = solve_ivp(lorenz, t_train_span, u0_train, \n", - " t_eval=t_train, **integrator_keywords).y.T\n", - "u_test = solve_ivp(lorenz, t_train_span, u0_test, \n", - " t_eval=t_train, **integrator_keywords).y.T\n", + "u_train = solve_ivp(\n", + " lorenz, t_train_span, u0_train, t_eval=t_train, **integrator_keywords\n", + ").y.T\n", + "u_test = solve_ivp(\n", + " lorenz, t_train_span, u0_test, t_eval=t_train, **integrator_keywords\n", + ").y.T\n", "rmse = mean_squared_error(u_train, np.zeros((u_train).shape), squared=False)\n", "u_dot_clean = ps.FiniteDifference()._differentiate(u_test, t=dt)\n", "u_clean = u_test\n", @@ -150,8 +153,8 @@ "u_dot = ps.FiniteDifference()._differentiate(u_test, t=dt)\n", "\n", "# Same library terms as before\n", - "library_functions = [lambda x: x, lambda x: x * x, lambda x, y: x * y]\n", - "library_function_names = [lambda x: x, lambda x: x + x, lambda x, y: x + y]\n", + "# library_functions = [lambda x: x, lambda x: x * x, lambda x, y: x * y]\n", + "# library_function_names = [lambda x: x, lambda x: x + x, lambda x, y: x + y]\n", "\n", "# Scan over the number of integration points and the number of subdomains\n", "n = 10\n", @@ -159,8 +162,9 @@ "K_scan = np.linspace(20, 2000, n, dtype=int)\n", "for i, K in enumerate(K_scan):\n", " ode_lib = ps.WeakPDELibrary(\n", - " library_functions=library_functions,\n", - " function_names=library_function_names,\n", + "# library_functions=library_functions,\n", + "# function_names=library_function_names,\n", + " function_library=ps.PolynomialLibrary(degree=2,include_bias=False),\n", " spatiotemporal_grid=t_train,\n", " include_bias=True,\n", " is_uniform=True,\n", @@ -177,11 +181,11 @@ "\n", " # Instantiate and fit the SINDy model with the integral of u_dot\n", " model = ps.SINDy(feature_library=ode_lib, optimizer=opt)\n", - " model.fit(u_train, quiet=True)\n", + " model.fit(u_train)\n", " errs[i] = np.sqrt(\n", " (\n", " np.sum((u_dot_train_integral - opt.Theta_ @ opt.coef_.T) ** 2)\n", - " / np.sum(u_dot_train_integral ** 2)\n", + " / np.sum(u_dot_train_integral**2)\n", " )\n", " / u_dot_train_integral.shape[0]\n", " )" @@ -203,22 +207,20 @@ "outputs": [ { "data": { - "image/png": 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\n", 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", "text/plain": [ - "
" + "
" ] }, - "metadata": { - "needs_background": "light" - }, + "metadata": {}, "output_type": "display_data" } ], "source": [ - "plt.title('Convergence of weak SINDy, hyperparameter scan', fontsize=12)\n", - "plt.plot(K_scan,errs)\n", - "plt.xlabel('Number of subdomains', fontsize=16)\n", - "plt.ylabel('Error', fontsize=16)\n", + "plt.title(\"Convergence of weak SINDy, hyperparameter scan\", fontsize=12)\n", + "plt.plot(K_scan, errs)\n", + "plt.xlabel(\"Number of subdomains\", fontsize=16)\n", + "plt.ylabel(\"Error\", fontsize=16)\n", "plt.show()" ] }, @@ -246,89 +248,79 @@ "output_type": "stream", "text": [ "Weak form model: \n", - "(x0)' = -3.753 1 + -11.421 x0 + 10.970 x1 + 0.486 x2 + 0.084 x0x0 + -0.015 x2x2 + -0.058 x0x1 + 0.043 x0x2 + -0.032 x1x2\n", - "(x1)' = 13.899 1 + 29.630 x0 + -1.449 x1 + -1.495 x2 + -0.228 x0x0 + -0.076 x1x1 + 0.044 x2x2 + 0.249 x0x1 + -1.042 x0x2\n", - "(x2)' = -2.556 x2 + 0.105 x0x0 + -0.008 x2x2 + 0.924 x0x1\n", + "(x0)' = -4.022 1 + -11.437 x0 + 10.971 x1 + 0.523 x2 + 0.093 x0^2 + -0.064 x0 x1 + 0.043 x0 x2 + -0.032 x1 x2 + -0.016 x2^2\n", + "(x1)' = 13.962 1 + 29.634 x0 + -1.450 x1 + -1.503 x2 + -0.230 x0^2 + 0.250 x0 x1 + -1.042 x0 x2 + -0.076 x1^2 + 0.044 x2^2\n", + "(x2)' = -2.515 x2 + 0.158 x0^2 + 0.887 x0 x1 + -0.013 x2^2\n", "Regular model: \n", - "(x0)' = -52.763 1 + -7.108 x0 + 10.803 x1 + 4.585 x2 + 0.366 x0x0 + 0.074 x1x1 + -0.088 x2x2 + -0.459 x0x1 + 0.206 x0x2 + -0.370 x1x2\n", - "(x1)' = 13.274 1 + 1.810 x0 + 14.251 x1 + -1.394 x2 + 0.492 x0x0 + -0.099 x1x1 + 0.005 x2x2 + -0.119 x0x1 + -0.053 x0x2 + -0.595 x1x2\n", - "(x2)' = -2.659 1 + -10.136 x0 + 6.471 x1 + -4.319 x2 + -0.329 x0x0 + 0.708 x1x1 + 0.110 x2x2 + -0.012 x0x1 + 0.323 x0x2 + -0.248 x1x2\n" + "(x0)' = -52.763 1 + -7.108 x0 + 10.803 x1 + 4.585 x2 + 0.366 x0^2 + -0.459 x0 x1 + 0.206 x0 x2 + 0.074 x1^2 + -0.370 x1 x2 + -0.088 x2^2\n", + "(x1)' = 13.274 1 + 1.810 x0 + 14.251 x1 + -1.394 x2 + 0.492 x0^2 + -0.119 x0 x1 + -0.053 x0 x2 + -0.099 x1^2 + -0.595 x1 x2 + 0.005 x2^2\n", + "(x2)' = -2.659 1 + -10.136 x0 + 6.471 x1 + -4.319 x2 + -0.329 x0^2 + -0.012 x0 x1 + 0.323 x0 x2 + 0.708 x1^2 + -0.248 x1 x2 + 0.110 x2^2\n" ] }, { "data": { - "image/png": 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\n", 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", 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\n", + "image/png": 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" + "
" ] }, - "metadata": { - "needs_background": "light" - }, + "metadata": {}, "output_type": "display_data" } ], "source": [ "# Fit a weak form model\n", "ode_lib = ps.WeakPDELibrary(\n", - " library_functions=library_functions,\n", - " function_names=library_function_names,\n", + "# library_functions=library_functions,\n", + "# function_names=library_function_names,\n", + " function_library=ps.PolynomialLibrary(degree=2,include_bias=False),\n", " spatiotemporal_grid=t_train,\n", " include_bias=True,\n", " is_uniform=True,\n", " K=5000,\n", ")\n", "opt = ps.SR3(\n", - " threshold=100, \n", - " thresholder=\"l0\", \n", - " max_iter=10000, \n", - " normalize_columns=True, \n", - " tol=1e-10\n", + " threshold=100, thresholder=\"l0\", max_iter=10000, normalize_columns=True, tol=1e-10\n", ")\n", "model = ps.SINDy(feature_library=ode_lib, optimizer=opt)\n", - "model.fit(u_train, quiet=True)\n", + "model.fit(u_train)\n", "print(\"Weak form model: \")\n", "model.print()\n", "\n", "# Instantiate and fit a non-weak SINDy model\n", - "ode_lib = ps.CustomLibrary(\n", - " library_functions=library_functions,\n", - " function_names=library_function_names,\n", - " include_bias=True,\n", - ")\n", + "# ode_lib = ps.CustomLibrary(\n", + "# library_functions=library_functions,\n", + "# function_names=library_function_names,\n", + "# include_bias=True,\n", + "# )\n", + "ode_lib = ps.PolynomialLibrary(degree=2,include_bias=True)\n", "optimizer = ps.SR3(\n", - " threshold=100, \n", - " thresholder=\"l0\", \n", - " max_iter=10000, \n", - " normalize_columns=True, \n", - " tol=1e-10\n", + " threshold=100, thresholder=\"l0\", max_iter=10000, normalize_columns=True, tol=1e-10\n", ")\n", "original_model = ps.SINDy(feature_library=ode_lib, optimizer=optimizer)\n", - "original_model.fit(u_train, t=dt, quiet=True)\n", + "original_model.fit(u_train, t=dt)\n", "print(\"Regular model: \")\n", "original_model.print()\n", "err_not_weak = np.sqrt(\n", - " (np.sum((u_dot - optimizer.Theta_ @ optimizer.coef_.T) ** 2) / np.sum(u_dot ** 2))\n", + " (np.sum((u_dot - optimizer.Theta_ @ optimizer.coef_.T) ** 2) / np.sum(u_dot**2))\n", " / u_dot.shape[0]\n", ")\n", "\n", - "u_pred = original_model.simulate(u0_test, t=t_train, integrator='odeint')\n", + "u_pred = original_model.simulate(u0_test, t=t_train, integrator=\"odeint\")\n", "u_dot_pred = original_model.predict(u_test)\n", "\n", "# Plot the ground truth, weak form, and non-weak derivative predictions\n", - "feature_names = ['x', 'y', 'z']\n", + "feature_names = [\"x\", \"y\", \"z\"]\n", "optimizer.coef_ = opt.coef_\n", "u_dot_weak = original_model.predict(u_test)\n", "plt.figure(figsize=(16, 4))\n", @@ -338,12 +330,12 @@ " plt.plot(t_train, u_dot_weak[:, i], \"b\", label=r\"$\\dot{q}$ weak form prediction\")\n", " plt.plot(t_train, u_dot_clean[:, i], \"k\", label=r\"$\\dot{q}$ without added noise\")\n", " plt.grid(True)\n", - " plt.ylabel(r'$\\dot{' + feature_names[i] + '}$', fontsize=14)\n", + " plt.ylabel(r\"$\\dot{\" + feature_names[i] + \"}$\", fontsize=14)\n", " if i == 2:\n", " plt.legend()\n", "\n", "# Plot the ground truth, weak form, and non-weak trajectory predictions\n", - "u_weak = original_model.simulate(u0_test, t=t_train, integrator='odeint')\n", + "u_weak = original_model.simulate(u0_test, t=t_train, integrator=\"odeint\")\n", "plt.figure(figsize=(16, 4))\n", "for i in range(3):\n", " plt.subplot(1, 3, i + 1)\n", @@ -353,7 +345,7 @@ " plt.plot(t_train, u_clean[:, i], \"k\", label=r\"$q$ without added noise\")\n", " plt.grid(True)\n", " plt.ylabel(feature_names[i], fontsize=14)\n", - " plt.xlabel('t', fontsize=14)\n", + " plt.xlabel(\"t\", fontsize=14)\n", " plt.ylim(-100, 100)\n", " if i == 2:\n", " plt.legend()" @@ -371,27 +363,59 @@ }, { "cell_type": "code", - "execution_count": 6, + "execution_count": 10, "metadata": {}, + "outputs": [], + "source": [ + "import matplotlib.pyplot as plt\n", + "import numpy as np\n", + "from scipy.integrate import solve_ivp\n", + "from sklearn.linear_model import Lasso\n", + "from scipy.io import loadmat\n", + "from sklearn.metrics import mean_squared_error\n", + "from pysindy.utils.odes import lorenz\n", + "\n", + "import pysindy as ps\n", + "\n", + "# Ignore matplotlib deprecation warnings\n", + "import warnings\n", + "\n", + "warnings.filterwarnings(\"ignore\", category=UserWarning)\n", + "warnings.filterwarnings(\"ignore\", category=FutureWarning)\n", + "\n", + "# Seed the random number generators for reproducibility\n", + "np.random.seed(100)\n", + "\n", + "# integration keywords for solve_ivp, typically needed for chaotic systems\n", + "integrator_keywords = {}\n", + "integrator_keywords[\"rtol\"] = 1e-12\n", + "integrator_keywords[\"method\"] = \"LSODA\"\n", + "integrator_keywords[\"atol\"] = 1e-12" + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "metadata": { + "scrolled": true + }, "outputs": [ { "data": { - "image/png": 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\n", 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"text/plain": [ - "
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" ] }, - "metadata": { - "needs_background": "light" - }, + "metadata": {}, "output_type": "display_data" } ], "source": [ - "data = loadmat('data/burgers.mat')\n", - "time = np.ravel(data['t'])\n", - "x = np.ravel(data['x'])\n", - "u = np.real(data['usol'])\n", + "data = loadmat(\"data/burgers.mat\")\n", + "time = np.ravel(data[\"t\"])\n", + "x = np.ravel(data[\"x\"])\n", + "u = np.real(data[\"usol\"])\n", "dt = time[1] - time[0]\n", "dx = x[1] - x[0]\n", "rmse = mean_squared_error(u, np.zeros(u.shape), squared=False)\n", @@ -402,27 +426,27 @@ "plt.figure(figsize=(16, 4))\n", "plt.subplot(1, 3, 1)\n", "plt.pcolormesh(time, x, u)\n", - "plt.xlabel('t', fontsize=16)\n", - "plt.ylabel('x', fontsize=16)\n", - "plt.title(r'$u(x, t)$', fontsize=16)\n", + "plt.xlabel(\"t\", fontsize=16)\n", + "plt.ylabel(\"x\", fontsize=16)\n", + "plt.title(r\"$u(x, t)$\", fontsize=16)\n", "\n", "u_dot = ps.FiniteDifference(axis=1)._differentiate(u, t=dt)\n", "plt.subplot(1, 3, 2)\n", "plt.pcolormesh(time, x, u_dot)\n", - "plt.xlabel('t', fontsize=16)\n", - "plt.ylabel('x', fontsize=16)\n", + "plt.xlabel(\"t\", fontsize=16)\n", + "plt.ylabel(\"x\", fontsize=16)\n", "ax = plt.gca()\n", "ax.set_yticklabels([])\n", - "plt.title(r'$\\dot{u}(x, t)$ from FD', fontsize=16)\n", + "plt.title(r\"$\\dot{u}(x, t)$ from FD\", fontsize=16)\n", "\n", "u_dot = ps.SmoothedFiniteDifference(axis=1)._differentiate(u, t=dt)\n", "plt.subplot(1, 3, 3)\n", "plt.pcolormesh(time, x, u_dot)\n", - "plt.xlabel('t', fontsize=16)\n", - "plt.ylabel('x', fontsize=16)\n", + "plt.xlabel(\"t\", fontsize=16)\n", + "plt.ylabel(\"x\", fontsize=16)\n", "ax = plt.gca()\n", "ax.set_yticklabels([])\n", - "plt.title(r'$\\dot{u}(x, t)$ from smoothed FD', fontsize=16)\n", + "plt.title(r\"$\\dot{u}(x, t)$ from smoothed FD\", fontsize=16)\n", "plt.show()\n", "# See how much SmoothedFiniteDifference improves the derivatives!\n", "\n", @@ -431,28 +455,32 @@ }, { "cell_type": "code", - "execution_count": 7, + "execution_count": 12, "metadata": {}, "outputs": [], "source": [ - "# Define weak form PDE library \n", - "library_functions = [lambda x: x, lambda x: x * x]\n", - "library_function_names = [lambda x: x, lambda x: x + x]\n", + "# Define weak form PDE library\n", + "# library_functions = [lambda x: x, lambda x: x * x]\n", + "# library_function_names = [lambda x: x, lambda x: x + x]\n", "\n", "# Need to define the 2D spatiotemporal grid before calling the library\n", "X, T = np.meshgrid(x, time)\n", "XT = np.asarray([X, T]).T\n", - "pde_lib = ps.WeakPDELibrary(library_functions=library_functions, \n", - " function_names=library_function_names, \n", - " derivative_order=2,\n", - " spatiotemporal_grid=XT,\n", - " is_uniform=True, K=1000,\n", - " )" + "pde_lib = ps.WeakPDELibrary(\n", + "# library_functions=library_functions,\n", + "# function_names=library_function_names,\n", + " function_library=ps.PolynomialLibrary(degree=2,include_bias=False),\n", + " derivative_order=2,\n", + " spatiotemporal_grid=XT,\n", + " is_uniform=True,\n", + " K=1000,\n", + " include_bias=True\n", + ")" ] }, { "cell_type": "code", - "execution_count": 8, + "execution_count": 13, "metadata": { "scrolled": true }, @@ -461,46 +489,55 @@ "name": "stdout", "output_type": "stream", "text": [ - "(x0)' = 0.096 x0_11 + -0.997 x0x0_1\n" + "(x0)' = 0.086 x0_11 + -1.028 x0x0_1\n" ] } ], "source": [ "# Fit a weak form model\n", - "optimizer = ps.SR3(threshold=0.1, thresholder='l0', \n", - " tol=1e-8, normalize_columns=True, max_iter=1000)\n", + "optimizer = ps.SR3(\n", + " threshold=0.1, thresholder=\"l0\", tol=1e-8, normalize_columns=True, max_iter=1000\n", + ")\n", + "np.random.seed(1)\n", "model = ps.SINDy(feature_library=pde_lib, optimizer=optimizer)\n", - "model.fit(u, quiet=True)\n", + "model.fit(u)\n", "model.print()" ] }, { "cell_type": "code", - "execution_count": 9, + "execution_count": 14, "metadata": { "scrolled": true }, "outputs": [ { - "name": "stdout", - "output_type": "stream", - "text": [ - "(x0)' = 0.012 x0 + -0.033 x0x0 + -0.015 x0x0_1 + -0.015 x0x0_11\n" + "ename": "NameError", + "evalue": "name 'library_functions' is not defined", + "output_type": "error", + "traceback": [ + "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", + "\u001b[0;31mNameError\u001b[0m Traceback (most recent call last)", + "Cell \u001b[0;32mIn[14], line 3\u001b[0m\n\u001b[1;32m 1\u001b[0m \u001b[38;5;66;03m# Show that a non-weak form model screws this up badly\u001b[39;00m\n\u001b[1;32m 2\u001b[0m pde_lib \u001b[38;5;241m=\u001b[39m ps\u001b[38;5;241m.\u001b[39mPDELibrary(\n\u001b[0;32m----> 3\u001b[0m library_functions\u001b[38;5;241m=\u001b[39mlibrary_functions,\n\u001b[1;32m 4\u001b[0m function_names\u001b[38;5;241m=\u001b[39mlibrary_function_names,\n\u001b[1;32m 5\u001b[0m derivative_order\u001b[38;5;241m=\u001b[39m\u001b[38;5;241m2\u001b[39m,\n\u001b[1;32m 6\u001b[0m spatial_grid\u001b[38;5;241m=\u001b[39mx,\n\u001b[1;32m 7\u001b[0m include_bias\u001b[38;5;241m=\u001b[39m\u001b[38;5;28;01mFalse\u001b[39;00m,\n\u001b[1;32m 8\u001b[0m is_uniform\u001b[38;5;241m=\u001b[39m\u001b[38;5;28;01mTrue\u001b[39;00m,\n\u001b[1;32m 9\u001b[0m )\n\u001b[1;32m 11\u001b[0m \u001b[38;5;66;03m# Fit and predict with the non-weak model\u001b[39;00m\n\u001b[1;32m 12\u001b[0m opt \u001b[38;5;241m=\u001b[39m ps\u001b[38;5;241m.\u001b[39mSR3(\n\u001b[1;32m 13\u001b[0m threshold\u001b[38;5;241m=\u001b[39m\u001b[38;5;241m0.05\u001b[39m, thresholder\u001b[38;5;241m=\u001b[39m\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124ml0\u001b[39m\u001b[38;5;124m\"\u001b[39m, tol\u001b[38;5;241m=\u001b[39m\u001b[38;5;241m1e-10\u001b[39m, normalize_columns\u001b[38;5;241m=\u001b[39m\u001b[38;5;28;01mTrue\u001b[39;00m, max_iter\u001b[38;5;241m=\u001b[39m\u001b[38;5;241m1000\u001b[39m\n\u001b[1;32m 14\u001b[0m )\n", + "\u001b[0;31mNameError\u001b[0m: name 'library_functions' is not defined" ] } ], "source": [ "# Show that a non-weak form model screws this up badly\n", - "pde_lib = ps.PDELibrary(library_functions=library_functions, \n", - " function_names=library_function_names, \n", - " derivative_order=2, spatial_grid=x,\n", - " include_bias=False,\n", - " is_uniform=True)\n", + "pde_lib = ps.PDELibrary(\n", + " library_functions=library_functions,\n", + " function_names=library_function_names,\n", + " derivative_order=2,\n", + " spatial_grid=x,\n", + " include_bias=False,\n", + " is_uniform=True,\n", + ")\n", "\n", "# Fit and predict with the non-weak model\n", - "opt = ps.SR3(threshold=0.05, thresholder='l0', \n", - " tol=1e-10, normalize_columns=True, \n", - " max_iter=1000)\n", + "opt = ps.SR3(\n", + " threshold=0.05, thresholder=\"l0\", tol=1e-10, normalize_columns=True, max_iter=1000\n", + ")\n", "model_for_prediction = ps.SINDy(feature_library=pde_lib, optimizer=opt)\n", "model_for_prediction.fit(u)\n", "\n", @@ -519,82 +556,222 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "# Test weak form PDE functionality on nonlinear diffusion with mixed function-derivative terms\n", - "Unlike the other PDE examples shown, this contains mixed terms like $uu_{xx}$, so this is a nice check the full PDE functionality works,\n", - "$$ u_ t = u u_{xx}.$$" + "# Test weak form PDE functionality on 2d compressible isothermal flow equations with mixed function-derivative terms\n", + "Here we fit the coupled momentum and mass transport equations in two dimensions\n", + "$$ \\mathbf{u}_ t = -(\\mathbf{u}\\cdot\\nabla)\\mathbf{u} + (-\\nabla P + \\mu \\nabla^2 \\mathbf{u})/\\rho,$$\n", + "$$ \\rho_ t = -\\nabla \\cdot(\\rho \\mathbf{u}),$$\n", + "where we use the isothermal ideal gas law $ P = \\rho R T$ as the equation of state.\n", + "Unlike the other PDE examples shown, these equations contains mixed derivative/function terms like $\\rho^{-1} u_{xx}$, so this is a nice check that the full PDE functionality works," ] }, { "cell_type": "code", - "execution_count": 10, + "execution_count": 15, + "metadata": {}, + "outputs": [], + "source": [ + "def compressible(t, U, dx, N, mu, RT):\n", + " u = U.reshape(N, N, 3)[:, :, 0]\n", + " v = U.reshape(N, N, 3)[:, :, 1]\n", + " rho = U.reshape(N, N, 3)[:, :, 2]\n", + " ux = ps.differentiation.FiniteDifference(\n", + " d=1,\n", + " axis=0,\n", + " periodic=True,\n", + " )._differentiate(u, dx)\n", + " uy = ps.differentiation.FiniteDifference(\n", + " d=1,\n", + " axis=1,\n", + " periodic=True,\n", + " )._differentiate(u, dx)\n", + " uxx = ps.differentiation.FiniteDifference(\n", + " d=2,\n", + " axis=0,\n", + " periodic=True,\n", + " )._differentiate(u, dx)\n", + " uyy = ps.differentiation.FiniteDifference(\n", + " d=2,\n", + " axis=1,\n", + " periodic=True,\n", + " )._differentiate(u, dx)\n", + " vx = ps.differentiation.FiniteDifference(\n", + " d=1,\n", + " axis=0,\n", + " periodic=True,\n", + " )._differentiate(v, dx)\n", + " vy = ps.differentiation.FiniteDifference(\n", + " d=1,\n", + " axis=1,\n", + " periodic=True,\n", + " )._differentiate(v, dx)\n", + " vxx = ps.differentiation.FiniteDifference(\n", + " d=2,\n", + " axis=0,\n", + " periodic=True,\n", + " )._differentiate(v, dx)\n", + " vyy = ps.differentiation.FiniteDifference(\n", + " d=2,\n", + " axis=1,\n", + " periodic=True,\n", + " )._differentiate(v, dx)\n", + " px = ps.differentiation.FiniteDifference(\n", + " d=1,\n", + " axis=0,\n", + " periodic=True,\n", + " )._differentiate(rho * RT, dx)\n", + " py = ps.differentiation.FiniteDifference(\n", + " d=1,\n", + " axis=1,\n", + " periodic=True,\n", + " )._differentiate(rho * RT, dx)\n", + " ret = np.zeros((N, N, 3))\n", + " ret[:, :, 0] = -(u * ux + v * uy) - (px - mu * (uxx + uyy)) / rho\n", + " ret[:, :, 1] = -(u * vx + v * vy) - (py - mu * (vxx + vyy)) / rho\n", + " ret[:, :, 2] = -(u * px / RT + v * py / RT + rho * ux + rho * vy)\n", + " return ret.reshape(3 * N * N)\n", + "\n", + "\n", + "N = 64\n", + "Nt = 100\n", + "L = 5\n", + "T = 0.5\n", + "mu = 1\n", + "RT = 1\n", + "\n", + "t = np.linspace(0, T, Nt)\n", + "x = np.arange(0, N) * L / N\n", + "y = np.arange(0, N) * L / N\n", + "dx = x[1] - x[0]\n", + "\n", + "# some arbitrary initial conditions\n", + "y0 = np.zeros((N, N, 3))\n", + "y0[:, :, 0] = (\n", + " -np.sin(2 * np.pi / L * x)[:, np.newaxis]\n", + " + 0.5 * np.cos(2 * 2 * np.pi / L * y)[np.newaxis, :]\n", + ")\n", + "y0[:, :, 1] = (\n", + " 0.5 * np.cos(2 * np.pi / L * x)[:, np.newaxis]\n", + " - np.sin(2 * 2 * np.pi / L * y)[np.newaxis, :]\n", + ")\n", + "y0[:, :, 2] = (\n", + " 1\n", + " + 0.5\n", + " * np.cos(2 * np.pi / L * x)[:, np.newaxis]\n", + " * np.cos(2 * 2 * np.pi / L * y)[np.newaxis, :]\n", + ")\n", + "\n", + "sol = solve_ivp(\n", + " compressible,\n", + " (t[0], t[-1]),\n", + " y0=y0.reshape(3 * N * N),\n", + " t_eval=t,\n", + " args=(dx, N, mu, RT),\n", + " method=\"RK45\",\n", + " rtol=1e-8,\n", + " atol=1e-8,\n", + ")" + ] + }, + { + "cell_type": "code", + "execution_count": 16, "metadata": {}, "outputs": [ { "data": { - "image/png": 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" ] }, - "metadata": { - "needs_background": "light" - }, + "metadata": {}, "output_type": "display_data" } ], "source": [ - "def diffuse (t, u, dx, nx):\n", - " u = np.reshape(u, nx)\n", - " du = ps.differentiation.SpectralDerivative(\n", - " d=2, axis=0\n", - " )._differentiate(u, dx)\n", - " return np.reshape(u * du, nx)\n", - "\n", - "N = 200\n", - "h0 = 1.0\n", - "L = 5\n", - "T = 1\n", - "\n", - "t = np.linspace(0, T, N)\n", - "x = np.arange(0, N) * L / N\n", - "\n", - "ep = 0.5 * h0\n", - "y0 = np.reshape(h0 + ep * np.cos(4 * np.pi / L * x) \n", - " + ep * np.cos(2 * np.pi / L * x), N)\n", - "dx = x[1] - x[0]\n", + "u_shaped_noiseless = sol.y.reshape(N, N, 3, -1).transpose(0, 1, 3, 2)\n", + "u_dot_noiseless = ps.FiniteDifference(d=1, axis=2)._differentiate(u_shaped_noiseless, t)\n", "\n", - "sol = solve_ivp(diffuse, (t[0], t[-1]), \n", - " y0=y0, t_eval=t, args=(dx, N),\n", - " **integrator_keywords)\n", - "\n", - "u_shaped_noiseless = np.reshape(sol.y, (N, N, 1))\n", - "u_dot_noiseless = ps.FiniteDifference(\n", - " d=1, axis=1\n", - ")._differentiate(u_shaped_noiseless,t)\n", - "\n", - "ep = 0.01 * np.min(sol.y)\n", + "ep = 5e-3\n", + "np.random.seed(100)\n", "u_shaped_noisy = u_shaped_noiseless + 2 * ep * (\n", - " 0.5 - np.random.random(size=(N, N, 1))\n", + " 0.5 - np.random.random(size=(N, N, Nt, 3))\n", ")\n", - "u_dot_noisy = ps.FiniteDifference(\n", - " d=1, axis=1)._differentiate(u_shaped_noisy, t)\n", + "u_dot_noisy = ps.FiniteDifference(d=1, axis=2)._differentiate(u_shaped_noisy, t)\n", "\n", "# Plot u and u_dot\n", - "plt.figure(figsize=(16, 4))\n", - "plt.subplot(1, 2, 1)\n", - "plt.imshow(u_dot_noiseless[:, :, 0])\n", - "plt.colorbar()\n", - "plt.xlabel('t', fontsize=16)\n", - "plt.ylabel('x', fontsize=16)\n", - "plt.title(r'$u(x, t)$', fontsize=16)\n", + "plt.figure(figsize=(16, 10))\n", "\n", - "plt.subplot(1, 2, 2)\n", - "plt.imshow(u_dot_noisy[:, :, 0])\n", - "plt.colorbar()\n", - "plt.xlabel('t', fontsize=16)\n", - "plt.ylabel('x', fontsize=16)\n", + "plt.subplot(2, 3, 1)\n", + "plt.imshow(u_dot_noiseless[:, :, Nt // 2, 0], cmap=\"seismic\")\n", + "plt.clim(\n", + " -np.max(np.abs(u_dot_noiseless[:, :, :, 0])),\n", + " np.max(np.abs(u_dot_noiseless[:, :, :, 0])),\n", + ")\n", + "plt.colorbar(fraction=0.045)\n", + "plt.xlabel(\"x\", fontsize=16)\n", + "plt.ylabel(\"y\", fontsize=16)\n", + "plt.title(r\"Noiseless $\\dot{u}$\", fontsize=16)\n", + "\n", + "plt.subplot(2, 3, 2)\n", + "plt.imshow(u_dot_noiseless[:, :, Nt // 2, 1], cmap=\"seismic\")\n", + "plt.clim(\n", + " -np.max(np.abs(u_dot_noiseless[:, :, :, 1])),\n", + " np.max(np.abs(u_dot_noiseless[:, :, :, 1])),\n", + ")\n", + "plt.colorbar(fraction=0.045)\n", + "plt.xlabel(\"x\", fontsize=16)\n", + "plt.ylabel(\"y\", fontsize=16)\n", + "plt.title(r\"Noiseless $\\dot{v}$\", fontsize=16)\n", + "\n", + "plt.subplot(2, 3, 3)\n", + "plt.imshow(u_dot_noiseless[:, :, Nt // 2, 2], cmap=\"seismic\")\n", + "plt.clim(\n", + " -np.max(np.abs(u_dot_noiseless[:, :, :, 2])),\n", + " np.max(np.abs(u_dot_noiseless[:, :, :, 2])),\n", + ")\n", + "plt.colorbar(fraction=0.045)\n", + "plt.xlabel(\"x\", fontsize=16)\n", + "plt.ylabel(\"y\", fontsize=16)\n", + "plt.title(r\"Noiseless $\\dot{\\rho}$\", fontsize=16)\n", + "\n", + "plt.subplot(2, 3, 4)\n", + "plt.imshow(u_dot_noisy[:, :, Nt // 2, 0], cmap=\"seismic\")\n", + "plt.clim(\n", + " -np.max(np.abs(u_dot_noiseless[:, :, :, 0])),\n", + " np.max(np.abs(u_dot_noiseless[:, :, :, 0])),\n", + ")\n", + "plt.colorbar(fraction=0.045)\n", + "plt.xlabel(\"x\", fontsize=16)\n", + "plt.ylabel(\"y\", fontsize=16)\n", + "ax = plt.gca()\n", + "plt.title(r\"Noisy $\\dot{u}$\", fontsize=16)\n", + "\n", + "plt.subplot(2, 3, 5)\n", + "plt.imshow(u_dot_noisy[:, :, Nt // 2, 1], cmap=\"seismic\")\n", + "plt.clim(\n", + " -np.max(np.abs(u_dot_noiseless[:, :, :, 1])),\n", + " np.max(np.abs(u_dot_noiseless[:, :, :, 1])),\n", + ")\n", + "plt.colorbar(fraction=0.045)\n", + "plt.xlabel(\"x\", fontsize=16)\n", + "plt.ylabel(\"y\", fontsize=16)\n", + "ax = plt.gca()\n", + "plt.title(r\"Noisy $\\dot{v}$\", fontsize=16)\n", + "\n", + "plt.subplot(2, 3, 6)\n", + "plt.imshow(u_dot_noisy[:, :, Nt // 2, 2], cmap=\"seismic\")\n", + "plt.clim(\n", + " -np.max(np.abs(u_dot_noiseless[:, :, :, 2])),\n", + " np.max(np.abs(u_dot_noiseless[:, :, :, 2])),\n", + ")\n", + "plt.colorbar(fraction=0.045)\n", + "plt.xlabel(\"x\", fontsize=16)\n", + "plt.ylabel(\"y\", fontsize=16)\n", "ax = plt.gca()\n", - "plt.title(r'$\\dot{u}(x, t)$ from finite differences', fontsize=16)\n", + "plt.title(r\"$Noisy \\dot{\\rho}$\", fontsize=16)\n", + "\n", + "plt.tight_layout()\n", "plt.show()" ] }, @@ -607,49 +784,60 @@ }, { "cell_type": "code", - "execution_count": 11, + "execution_count": 43, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ - "(u)' = 1.000 uu_11\n", - "(u)' = -0.269 u\n" + "Noiseless differential fit:\n", + "(u)' = -1.000 vu_2 + 0.998 p^-1u_22 + -1.002 uu_1 + -1.002 p^-1p_1 + 1.000 p^-1u_11\n", + "(v)' = -1.002 vv_2 + -1.000 p^-1p_2 + 1.000 p^-1v_22 + -0.997 uv_1 + 0.998 p^-1v_11\n", + "(p)' = -0.997 pv_2 + -0.999 vp_2 + -1.000 pu_1 + -0.998 up_1\n", + "R2 score: 0.9999402527131505\n", + "Noisy differential fit:\n", + "(u)' = -1.971 u + -0.899 vu_2 + 0.837 p^-1v_2 + -0.593 uu_1\n", + "(v)' = -1.624 v + -4.063 p^-1u_2 + -0.838 vv_2\n", + "(p)' = -0.995 pv_2 + -0.997 vp_2 + -0.997 pu_1 + -0.987 up_1\n", + "R2 score: 0.867971552125598\n" ] } ], "source": [ - "library_functions = [\n", - " lambda x: x,\n", - "]\n", - "library_function_names = [\n", - " lambda x: x,\n", - "]\n", + "spatial_grid = np.zeros((N, N, 2))\n", + "spatial_grid[:, :, 0] = x[:, np.newaxis]\n", + "spatial_grid[:, :, 1] = y[np.newaxis, :]\n", + "\n", + "library_functions = [lambda x: x, lambda x: 1 / (1e-6 + abs(x))]\n", + "library_function_names = [lambda x: x, lambda x: x + \"^-1\"]\n", "\n", "pde_lib = ps.PDELibrary(\n", " library_functions=library_functions,\n", " function_names=library_function_names,\n", " derivative_order=2,\n", - " spatial_grid=x,\n", - " is_uniform=True,\n", + " spatial_grid=spatial_grid,\n", ")\n", "\n", - "np.random.seed(100)\n", - "\n", "# Fit the clean data (prints the correct model)\n", - "optimizer = ps.STLSQ(threshold=0.1, alpha=1e-5, normalize_columns=False)\n", - "model = ps.SINDy(feature_library=pde_lib, optimizer=optimizer, feature_names=['u'])\n", - "model.fit(u_shaped_noiseless, \n", - " x_dot=u_dot_noiseless)\n", + "optimizer = ps.STLSQ(threshold=5e-1, alpha=1e-10, normalize_columns=False)\n", + "model = ps.SINDy(\n", + " feature_library=pde_lib, optimizer=optimizer, feature_names=[\"u\", \"v\", \"p\"]\n", + ")\n", + "model.fit(u_shaped_noiseless, t=t)\n", + "print(\"Noiseless differential fit:\")\n", "model.print()\n", + "print(\"R2 score: \", model.score(u_shaped_noiseless, t=t))\n", "\n", "# Fit the noisy data (prints a bad model)\n", - "optimizer = ps.STLSQ(threshold=0.1, alpha=1e-5, normalize_columns=False)\n", - "model = ps.SINDy(feature_library=pde_lib, optimizer=optimizer, feature_names=['u'])\n", - "model.fit(u_shaped_noisy, \n", - " x_dot=u_dot_noisy)\n", - "model.print()" + "optimizer = ps.STLSQ(threshold=5e-1, alpha=1e-10, normalize_columns=False)\n", + "model = ps.SINDy(\n", + " feature_library=pde_lib, optimizer=optimizer, feature_names=[\"u\", \"v\", \"p\"]\n", + ")\n", + "model.fit(u_shaped_noisy, t=t)\n", + "print(\"Noisy differential fit:\")\n", + "model.print()\n", + "print(\"R2 score: \", model.score(u_shaped_noisy, t=t))" ] }, { @@ -661,49 +849,65 @@ }, { "cell_type": "code", - "execution_count": 12, + "execution_count": 17, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ - "(u)' = 1.001 uu_11\n", - "(u)' = 0.991 uu_11\n" + "Noiseless weak fit:\n", + "(u)' = -0.995 x1u_2 + 1.004 x2^-1u_22 + -0.998 x0u_1 + -1.001 x2^-1p_1 + 1.000 x2^-1u_11\n", + "(v)' = -1.000 x1v_2 + -1.003 x2^-1p_2 + 1.002 x2^-1v_22 + -0.999 x0v_1 + 1.001 x2^-1v_11\n", + "(p)' = -1.000 x2v_2 + -1.000 x1p_2 + -1.000 x2u_1 + -1.000 x0p_1\n", + "R2 score: 0.9999966260357548\n", + "Noisy weak fit:\n", + "(u)' = -0.993 x1u_2 + 1.005 x2^-1u_22 + -0.996 x0u_1 + -1.000 x2^-1p_1 + 1.000 x2^-1u_11\n", + "(v)' = -0.999 x1v_2 + -1.002 x2^-1p_2 + 1.002 x2^-1v_22 + -0.997 x0v_1 + 1.000 x2^-1v_11\n", + "(p)' = -1.000 x2v_2 + -1.000 x1p_2 + -1.000 x2u_1 + -0.999 x0p_1\n", + "R2 score: 0.9999260911356109\n" ] } ], "source": [ - "library_functions = [\n", - " lambda x: x,\n", - "]\n", - "library_function_names = [\n", - " lambda x: x,\n", - "]\n", + "spatiotemporal_grid = np.zeros((N, N, Nt, 3))\n", + "spatiotemporal_grid[:, :, :, 0] = x[:, np.newaxis, np.newaxis]\n", + "spatiotemporal_grid[:, :, :, 1] = y[np.newaxis, :, np.newaxis]\n", + "spatiotemporal_grid[:, :, :, 2] = t[np.newaxis, np.newaxis, :]\n", "\n", - "X, T = np.meshgrid(x, t, indexing='ij')\n", - "XT = np.transpose([X, T], [1, 2, 0])\n", - "pde_lib = ps.WeakPDELibrary(\n", - " library_functions=library_functions,\n", - " function_names=library_function_names,\n", + "library_functions = [lambda x: x, lambda x: 1 / (1e-6 + abs(x))]\n", + "library_function_names = [lambda x: x, lambda x: x + \"^-1\"]\n", + "np.random.seed(100)\n", + "\n", + "weak_pde_lib = ps.WeakPDELibrary(\n", + "# library_functions=library_functions,\n", + "# function_names=library_function_names,\n", + " function_library=ps.CustomLibrary(library_functions=library_functions,function_names=library_function_names),\n", " derivative_order=2,\n", - " spatiotemporal_grid=XT,\n", - " K=100,\n", - " is_uniform=True,\n", + " spatiotemporal_grid=spatiotemporal_grid,\n", + " K=2000,\n", + " H_xt=[L / 10, L / 10, T / 10],\n", ")\n", "\n", - "np.random.seed(100)\n", "# Fit the clean data\n", - "optimizer = ps.STLSQ(threshold=0.1, alpha=1e-5, normalize_columns=False)\n", - "model = ps.SINDy(feature_library=pde_lib, optimizer=optimizer, feature_names=['u'])\n", - "model.fit(u_shaped_noiseless)\n", + "optimizer = ps.STLSQ(threshold=5e-1, alpha=1e-12, normalize_columns=False)\n", + "model = ps.SINDy(\n", + " feature_library=weak_pde_lib, optimizer=optimizer, feature_names=[\"u\", \"v\", \"p\"]\n", + ")\n", + "model.fit(u_shaped_noiseless, t=t)\n", + "print(\"Noiseless weak fit:\")\n", "model.print()\n", + "print(\"R2 score: \", model.score(u_shaped_noiseless, t=t))\n", "\n", "# Fit the noisy data\n", - "optimizer = ps.STLSQ(threshold=0.1, alpha=1e-5, normalize_columns=False)\n", - "model = ps.SINDy(feature_library=pde_lib, optimizer=optimizer, feature_names=['u'])\n", - "model.fit(u_shaped_noisy)\n", - "model.print()" + "optimizer = ps.STLSQ(threshold=5e-1, alpha=1e-12, normalize_columns=False)\n", + "model = ps.SINDy(\n", + " feature_library=weak_pde_lib, optimizer=optimizer, feature_names=[\"u\", \"v\", \"p\"]\n", + ")\n", + "model.fit(u_shaped_noisy, t=t)\n", + "print(\"Noisy weak fit:\")\n", + "model.print()\n", + "print(\"R2 score: \", model.score(u_shaped_noisy, t=t))" ] }, { @@ -717,28 +921,26 @@ }, { "cell_type": "code", - "execution_count": 13, + "execution_count": 18, "metadata": {}, "outputs": [ { "data": { - "image/png": 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\n", 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", "text/plain": [ - "
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" ] }, - "metadata": { - "needs_background": "light" - }, + "metadata": {}, "output_type": "display_data" } ], "source": [ "# Load and plot the data\n", - "data = loadmat('data/kuramoto_sivishinky.mat')\n", - "time = np.ravel(data['tt'])\n", - "x = np.ravel(data['x'])\n", - "u = data['uu']\n", + "data = loadmat(\"data/kuramoto_sivishinky.mat\")\n", + "time = np.ravel(data[\"tt\"])\n", + "x = np.ravel(data[\"x\"])\n", + "u = data[\"uu\"]\n", "dt = time[1] - time[0]\n", "dx = x[1] - x[0]\n", "\n", @@ -746,18 +948,18 @@ "plt.figure(figsize=(10, 4))\n", "plt.subplot(1, 2, 1)\n", "plt.pcolormesh(time, x, u)\n", - "plt.xlabel('t', fontsize=16)\n", - "plt.ylabel('x', fontsize=16)\n", - "plt.title(r'$u(x, t)$', fontsize=16)\n", + "plt.xlabel(\"t\", fontsize=16)\n", + "plt.ylabel(\"x\", fontsize=16)\n", + "plt.title(r\"$u(x, t)$\", fontsize=16)\n", "\n", "u_dot = ps.FiniteDifference(axis=1)._differentiate(u, t=dt)\n", "plt.subplot(1, 2, 2)\n", "plt.pcolormesh(time, x, u_dot)\n", - "plt.xlabel('t', fontsize=16)\n", - "plt.ylabel('x', fontsize=16)\n", + "plt.xlabel(\"t\", fontsize=16)\n", + "plt.ylabel(\"x\", fontsize=16)\n", "ax = plt.gca()\n", "ax.set_yticklabels([])\n", - "plt.title(r'$\\dot{u}(x, t)$', fontsize=16)\n", + "plt.title(r\"$\\dot{u}(x, t)$\", fontsize=16)\n", "plt.show()\n", "\n", "u = u.reshape(len(x), len(time), 1)" @@ -765,30 +967,31 @@ }, { "cell_type": "code", - "execution_count": 14, + "execution_count": 20, "metadata": {}, "outputs": [], "source": [ "# Define weak form PDE library\n", - "library_functions = [lambda x: x, lambda x: x * x]\n", - "library_function_names = [lambda x: x, lambda x: x + x]\n", + "# library_functions = [lambda x: x, lambda x: x * x]\n", + "# library_function_names = [lambda x: x, lambda x: x + x]\n", "X, T = np.meshgrid(x, time)\n", "XT = np.asarray([X, T]).T\n", "pde_lib = ps.WeakPDELibrary(\n", - " library_functions=library_functions,\n", - " function_names=library_function_names,\n", + "# library_functions=library_functions,\n", + "# function_names=library_function_names,\n", + " function_library=ps.PolynomialLibrary(degree=2,include_bias=False),\n", " derivative_order=4,\n", " spatiotemporal_grid=XT,\n", " is_uniform=True,\n", " K=200,\n", " include_interaction=True,\n", - " periodic=True\n", + " periodic=True,\n", ")" ] }, { "cell_type": "code", - "execution_count": 15, + "execution_count": 21, "metadata": { "scrolled": true }, @@ -799,50 +1002,49 @@ "text": [ "(x0)' = -1.000 x0_11 + -1.000 x0_1111 + -1.000 x0x0_1 + 0.002 x0x0_111\n", "(x0)' = -0.998 x0_11 + -0.999 x0_1111 + -1.002 x0x0_1\n", - "(x0)' = -0.999 x0_11 + -1.000 x0_1111 + -1.002 x0x0_1\n", + "(x0)' = -0.876 x0_11 + -0.875 x0_1111 + -0.937 x0x0_1 + 0.004 x0^2x0_1111\n", + "(x0)' = -1.000 x0_11 + -1.000 x0_1111 + -1.000 x0x0_1 + 0.002 x0x0_111\n", "(x0)' = -1.000 x0_11 + -1.000 x0_1111 + -1.000 x0x0_1 + 0.002 x0x0_111\n", - "(x0)' = -0.999 x0_11 + -1.000 x0_1111 + -1.002 x0x0_1\n", "(x0)' = -1.000 x0_11 + -1.000 x0_1111 + -1.000 x0x0_1 + 0.002 x0x0_111\n" ] } ], "source": [ - "# Run optimizers \n", + "# Run optimizers\n", "optimizer = ps.STLSQ(threshold=0.4, alpha=0.05, normalize_columns=True)\n", "model = ps.SINDy(feature_library=pde_lib, optimizer=optimizer)\n", - "model.fit(u, quiet=True)\n", + "model.fit(u)\n", "model.print()\n", "\n", "optimizer = ps.SR3(\n", - " threshold=0.8, max_iter=1000,\n", - " thresholder=\"l0\", normalize_columns=True\n", + " threshold=0.8, max_iter=1000, thresholder=\"l0\", normalize_columns=True\n", ")\n", "model = ps.SINDy(feature_library=pde_lib, optimizer=optimizer)\n", - "model.fit(u, quiet=True)\n", + "model.fit(u)\n", "model.print()\n", "\n", "optimizer = ps.SR3(\n", - " threshold=0.2, max_iter=1000,\n", - " thresholder=\"l1\", normalize_columns=True\n", + " threshold=0.2, max_iter=1000, thresholder=\"l1\", normalize_columns=True\n", ")\n", "model = ps.SINDy(feature_library=pde_lib, optimizer=optimizer)\n", - "model.fit(u, quiet=True)\n", + "model.fit(u)\n", "model.print()\n", "\n", "optimizer = ps.SSR(normalize_columns=True, kappa=1e-20, max_iter=20)\n", "model = ps.SINDy(feature_library=pde_lib, optimizer=optimizer)\n", - "model.fit(u, quiet=True)\n", + "model.fit(u)\n", "model.print()\n", "\n", - "optimizer = ps.SSR(criteria='model_residual', normalize_columns=True, \n", - " kappa=1e-20, max_iter=20)\n", + "optimizer = ps.SSR(\n", + " criteria=\"model_residual\", normalize_columns=True, kappa=1e-20, max_iter=20\n", + ")\n", "model = ps.SINDy(feature_library=pde_lib, optimizer=optimizer)\n", - "model.fit(u, quiet=True)\n", + "model.fit(u)\n", "model.print()\n", "\n", "optimizer = ps.FROLS(normalize_columns=True, kappa=1e-20)\n", "model = ps.SINDy(feature_library=pde_lib, optimizer=optimizer)\n", - "model.fit(u, quiet=True)\n", + "model.fit(u)\n", "model.print()" ] }, @@ -863,7 +1065,7 @@ }, { "cell_type": "code", - "execution_count": 16, + "execution_count": 22, "metadata": { "scrolled": true }, @@ -873,10 +1075,10 @@ "output_type": "stream", "text": [ "(x0)' = -0.998 x0_11 + -0.999 x0_1111 + -1.002 x0x0_1\n", - "(x0)' = -0.999 x0_11 + -1.002 x0_1111 + -1.003 x0x0_1\n", - "(x0)' = -0.008 x0_1 + -1.009 x0_11 + -1.006 x0_1111 + -1.005 x0x0_1 + 0.001 x0x0x0_11\n", - "(x0)' = 0.006 x0 + -1.003 x0_11 + -1.004 x0_1111 + -0.992 x0x0_1 + 0.002 x0x0x0_11\n", - "(x0)' = 0.011 x0 + -0.998 x0_11 + -0.998 x0_1111 + -0.998 x0x0_1\n" + "(x0)' = -0.995 x0_11 + -0.995 x0_1111 + -0.999 x0x0_1\n", + "(x0)' = 0.006 x0 + -0.997 x0_11 + -0.998 x0_1111 + -1.005 x0x0_1\n", + "(x0)' = -0.990 x0_11 + -0.989 x0_1111 + -1.006 x0x0_1 + -0.001 x0x0_11 + -0.001 x0^2x0_11\n", + "(x0)' = 0.018 x0 + -0.975 x0_11 + -0.975 x0_1111 + -0.986 x0x0_1 + 0.002 x0x0_11 + 0.001 x0^2x0_11\n" ] } ], @@ -892,25 +1094,23 @@ "\n", "# Make a weak form library with high-resolution\n", "pde_lib = ps.WeakPDELibrary(\n", - " library_functions=library_functions,\n", - " function_names=library_function_names,\n", + "# library_functions=library_functions,\n", + "# function_names=library_function_names,\n", + " function_library=ps.PolynomialLibrary(degree=2,include_bias=False),\n", " derivative_order=4,\n", " spatiotemporal_grid=XT,\n", " K=400,\n", " is_uniform=True,\n", ")\n", "# Pick an optimizer with some plausible hyperparameters\n", - "optimizer = ps.SR3(\n", - " threshold=1, max_iter=1000,\n", - " thresholder=\"l0\", normalize_columns=True\n", - ")\n", + "optimizer = ps.SR3(threshold=1, max_iter=1000, thresholder=\"l0\", normalize_columns=True)\n", "model = ps.SINDy(feature_library=pde_lib, optimizer=optimizer)\n", "# Loop over noisy data and cross-validate\n", "for i in range(cross_val_runs):\n", " for j, noise in enumerate(noise_levels):\n", " u_noisy = u + np.random.normal(0, noise, u.shape)\n", " u_noisy = np.reshape(u_noisy, (len(x), len(time), 1))\n", - " model.fit(u_noisy, quiet=True)\n", + " model.fit(u_noisy)\n", " model.print()\n", " c1 = abs(optimizer.coef_[0, 6])\n", " c2 = abs(optimizer.coef_[0, 3])\n", @@ -930,19 +1130,17 @@ }, { "cell_type": "code", - "execution_count": 17, + "execution_count": 23, "metadata": {}, "outputs": [ { "data": { - "image/png": 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\n", 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", 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" + "
" ] }, - "metadata": { - "needs_background": "light" - }, + "metadata": {}, "output_type": "display_data" } ], @@ -983,16 +1181,14 @@ " label=r\"$\\Delta\\xi_{u_{xxxx}}$\",\n", ")\n", "plt.yscale(\"log\")\n", - "plt.legend(\n", - " fontsize=14, loc=\"upper left\", ncol=3\n", - ")\n", + "plt.legend(fontsize=14, loc=\"upper left\", ncol=3)\n", "plt.xticks(fontsize=16)\n", "plt.yticks(fontsize=16)\n", "plt.grid(True)\n", "ax = plt.gca()\n", "ax.set_ylim(1e-5, 1)\n", - "plt.xlabel('% training noise', fontsize=16)\n", - "plt.ylabel('Coefficient errors', fontsize=16)\n", + "plt.xlabel(\"% training noise\", fontsize=16)\n", + "plt.ylabel(\"Coefficient errors\", fontsize=16)\n", "plt.savefig(\"SR3_weakformPDE_KS.png\")" ] }, @@ -1013,42 +1209,40 @@ }, { "cell_type": "code", - "execution_count": 18, + "execution_count": 24, "metadata": {}, "outputs": [ { "data": { - "image/png": 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KXJb3DXmuqnYsw8V15mL+jszLl0BXvjRqA54/T3d5Any6xWP6sY27KH5mhZ+1GhfL/PkXuH9LPP0hv8ZjapCkn+o+8UvffdX5y9OvjuM4juM4E4A/1DmO4ziO40wAd3z6NbEejmbWAQArkkoAgEhSPQNZqg2a7xujuUprQFRDJ78gy/tBUnOabh10WK+USr+Khi7aTdO1c3eNVYOXktjtU/SW6q+99V2mei/VjwmqmVONjOoX4q6mYyWWdGzUGZOe0fRqs7V3DCDIz4Jc09DXQcQXwbKcsopKnNLKVjgdkNnmOG5yij3ucKeb6JyagdO5kk1AIoO+EPP5TMecEpyLWXIwLzdR2TidOh/xNVqMaxR3b4bO6RZhBmTjV/s3ET1RXvRHidyfOZOxIje0auoSEQQl6Mt2iSO5X673Wuj9PHa+DXvHXdFbSbo10vtX5S0a672pMZDWRe8XmfNMdc4Zvl/jhK8xchzHEmcKEjclbsnxO/KdojrIgX5H8u+3ZfNKxPNRLuYxPJXh+XE+2aJ4KVOjWNOtsxF/fkHugZ6M6cX4LMULGU4PT2t6V0RyT0Qs4dqSMrwmIsQg6XN9xBiHr9Q5juM4juNMAP5Q5ziO4ziOMwH4Q53jOI7jOM4EcMdr6vohxmp/mMM/1VxMbT+5wa/gL19m3V28wvqewqW9LUwKlzjfnlthPVG0yvn6sKkWJrx/SkMnWEY0M2J3YWJRgiLrr0KZ9VJ9jUvi21fS1+P574ZeXjyBchKL+0TKM22MR5KS1tyM8b1KWZrwB2ZafMCU3qTBJ5Cpc39ntjmOtsRCBoCpBkZsa1SHp2MgNPbWXUYtthCI2vz7he40b++VJOb2aZ+qxu5lm+X95aKo71ReLkLJWKWXVx884z6cj9WWYxfbmAkhG/dwYupVy4d7c5do+1LM13rK+H5XDZ321eUBj7XTXR4LT7WPciwWJk9tsMXJmbUZilur3J7MGt/wOXazQK7GcX6d9VLZTdEQbvL5xHXuD2twnNK4yr0Renx81Tin9HKqaQYQUt53YzR2qmNObVbLE7GtUssj0dxZjuesWOMC389Jie+3bEXiTT5+a1vm0Aa3ty1zaLPJ+78gmt6mzD/qG6c+lcizhRJEE7coFjE6n+j22Pj3Y5ymWH3ueuLD9YR4MbZ6rCFUH9GUF+oYfKXOcRzHcRxnAvCHOsdxHMdxnAngjk+/NkOCp1vDFMKn146mtp+5yKmj6AIvzRYv8FJr6SKvlRYvSgmTFU6n2ipbogepGDFoSsUIeUVel9YtJ+m9MqdLIPGgwunW3jT/fndKyvpM8ed1yuImzodDX+Ier+RjkBPLmFT6VVIVGkdjLBJ0s6Zf9fV7KfMWt8fEkkrINPnvpOw232LZLU1VSPobQLLBnRZvckrIJCVvqTEjlig9HoN9cdWPJKWkca4r+3c5XRBJztwG3AcNSce+hDn+fVPbDP48LfuTGDvIH5b0iNp0aJWESaIQdfGWyvlX4nuTy7R9PpLUmXgCNQOnH5f7nG481eV06eOtYxxvsZv+02ssYVm5LPYNq1Jx5zLfP3kuBoDCKs+nuZqkV9e5/fGWSBW2Wa4CkR6EtsRj7IP2nTq9Iexii7KzCfs9nFog6XdIIulZqTqkEp6sWCYl6zynZWs8Bjs1Pl5zk9uT2RZJQIOPd7bJ7dtuc3u2uvx5jWkp41V4meI+OMd/RKYLTcce0nS3WKp0Ah+/W5XvTEnHPq3p2IjPN2UJMwZfqXMcx3Ecx5kA/KHOcRzHcRxnAvCHOsdxHMdxnAnANXX9LB7fGmrpXr40l9oen+P8fFFqIJXPq4aONRrJJc63Y61G4UD0UeMsSqIct8dKkn+XElCDKmtaejP8++1qIrHoGaZFM8eHg8ir0CuJxqTEGpg4L3qpnFi8ZMXeIsNxJubfz8j73mqXoWXcuqJn6PTE/qInr+N3pH+kRM5A9B1xXV7f3+LPTyTObYqIEEBuQ20dRMMiGpV4Tcp6bfKYG6jmTnRFqtvU0kaRlKrLSmwDKa8XxKZFfGca4Pafjvi+y8o1TlmeGN8jia1TPC9/qnbD3pqkg0w+6uKB/KuT0kKqLBePt22xKLnQ57492WVN3GON4xR/aoM1dc9eXuDjr7BmN3eJx3KeJX9py6fL3J7sOrc3XheN3DaXlAti/xN0rI8ro6io/kxLdMVy/6p9yC5lE1MWI4qW/RqoTYrMcbpdbFVSZQXlnFVzq7HqEK3O10A1vamyhJs8JjIbHCeiK85u8ZzbqHN/NJvc57UWWzA91pbfFwuU9oxYoBRlTk/YFugueUpKWSiJbvX+pMbHB2vsGqJbb/X5A05HrOMPrqlzHMdxHMe58/CHOsdxHMdxnAngjk+/tnoZnFwbVo0IF/Kp7SVNt57jpevSeU4PZC5JRYg1Tg0FSRdoOkCX5qOCpFenOP8ZpjnuzvHSd3uOl3qbs5JenRF37yqF6E7LUv202F2UeWl+tsj9MVPgpfrZHMfTCadLyhnuj3LMx8tJtYFYXuiPJB07kNSfuo03xI5ju8/9tSkeLLUO9+96i6/PepPj7W2OO5uSCthIp2KyNbHoqErVklVJaZV4e1ZsIyKxJLANHqODMVVKguwfSfomkXRQKUg6VtKtml6qx9xHz2fmKS5m+JoXpUpCUdKxSPge6+7b8+HgkFgPRzPrO2Lu2+3AfbPc5854snOY4k/X76b40RqnW5+/xNeme5Hvh+IlcefnTBaKlzgVmL/M1zKzKqm9DZYSqOWTWpIMujw/pdKr0j96b6SqLei9I9UWoNVfshLvlmoVC56gKVpdatFTkHSraRULrXKhfSLbNUWtFWjGpWdTcXvvdG0k802uzt9hmQZrejJNnj8yLe7TuM1xU6qenBTLELUUUUkORFIUGQ/icZYnCzFfj/vFMqVe5HRsU3y81OKp00+PoVOpn+z4/T22OY7jOI7jOAcEf6hzHMdxHMeZAA7MQ52ZPWhmn97xb9PM/oHs8x4z29ixzw/couY6juM4juPcVA6Mpi6E8AyAdwCAmcUAzgH46C67/mkI4cuu9bi9XoyVlaEGqHwh/epwSkN3jjVgKQ3dKmvoBvrKvegPLMMaDC3rZaKZG8zz69vtedYjNRekDNC8aOa46g/as2KBMMN6iOlpPt/FMmtcjhS5zNmRHMfzCWtg5jPcX1OimatE/Hl54/5KRDMXq+BkDKqp66jGLrC+YXPA/bshdc9Wenx9Lrb5+pxvVjmus95sZVMEHADq61JWZ5qvaaciGpEyt7lY4nPKF3iMxaILitZrFKvNjo5Z3a5/GYqqCEWxgQgxn98gw9vrCffxswnbZpQzPEarsdhcgIWwg13/dr24y88OHhkEVKNX+6Mt+sZVKdl2srNE8V9s30vxX66xhu70MmvowkWxeLrI1664LPrKi6LBXRF91ZqMtU3Re6oGeYxmLlXyKiuaZCmjaEUp01fg8wsFvlf6eY4HBbHDyHJ/95P02Asy3sOYpRWRWMFUY9eVObEjc3pbLIpafD9HTflOkjKDUJsY2a4WSSmNnWjoVLMXyfFiOV6xOSXb+TsyFtupqCsWSjJnPzfg+URRTVsk3zFxdoViLVOoGrtFKWX5gFimNIpiASW0++nHtD/YY/8Ds1InfCGA50MIL93qhjiO4ziO49wOHNSHuvcD+MWrbPtcM3vMzP6Tmb35ZjbKcRzHcRznVnFg0q9XMLMsgC8H8H27bH4UwN0hhG0zex+AXwdw/y7HeBjAwwCQmZlBvDJcUtfUAQAUL46xLNF065a8gq/u/PKKfFSREg0znL7rLfD25iKnBxqH5HVuWVluz4v7+JxYkMxyeuPYVI3iE6VV3p7n17OPJRwvSHp1LuKl90qqOoBUWBDLgUT+7ohTDu37c9vuS3WBAbg9XXCqoRX4+jbE3bs24KXzS3m+Xsslvp4vVTid9cIUxwBweoodxZfFxqZe5jHQk3RrTxzS+zlOPxSyvH+SEYsAuQY6ptXyZFw6NqsWDrGmqCSlJSmszRynqJ/JHaK4mkhKT2xuNOU+ZC9TgNubnfPX4aN8bhclVfN8lyeEcenWFy/yeLTzPNZK53n8l2TOLF7gsZFd4bFhqyzPGIhdjtphpKohqCWJWD5FRR7rKHMcyrx/ryJxmVN5em91i3z+vTzH/RzHA9UiAFAHjV2H5w7Gpl8lIx2Lw0+mxQfINDhO6lKlpy5VfLb4mkRbki5VmxmxMBmXnu1vawUb/vxILFhyXdlfyhqZ2FSZSBDqQSyUjMe8VilKTGx4UpKgGsWHRG5SjLg9RzL6HcNykb7k41thl0G0Bwdxpe5LATwaQljWDSGEzRDC9uj/Pw4gMbPUt2YI4ZEQwrtCCO+KSiXd7DiOc9uyc/6anT2IU7jjOK8XB3FG+HpcJfVqZktmw6UcM3s3hue3utu+juM4juM4k8SBSr+aWRHAFwH4wI6ffRsAhBA+CODvAPh2M+sBaAJ4fwhhTz/5qAvkLw2XS4vLndT2ZFnSqdebbp0Wt/05fh21s8iptsYS/35jUYobcyYK7UO8dF2a5/Tq3bPc/jeUucL2G4q8AHoiy9uPZGoUL0S8tF6J5M1LkwL3kOLzmk7Z598ZgzFvv6aOt79sber4fSmY3g7c38cy3F+1hP+muDfLbz7dk0u/ifV8gS/qyRK/sfh8aY4/o8TpB31DT9/A62c5ZVyKuVOykuKOJJ0ArUihFSjkjUV9IzGbcFzM8T3Rz3G6oZ/naWq5wPs/leP+SeQa9cM+L/oBog9DfUd65nSXx8Zf1u+h+FPrd1E8Lt1aPMd9V76gFXX4/k8u8XyItRqFmqoftOVNSyFVDUXSqzbFYz9Mc9yrSkWXaanoMi3p1TKfrxQnSMX9vMYid0nSXz8hIz+LNL+qvyBxn3ewntyvbY7jFseZJsdJXSQvW3y/5TZ5vshu8DXIrnMc1fj+jzdFvqFvNEt6dtDk9CT0O7XHcVZiSEUbC9z+IN85jYjbfyrmOTmf4Tm+Io4NJfkOzCcczxiPwSl5O1bTsZ3Ab+bvN/16oB7qQggNAHPysw/u+P8fB/DjN7tdjuM4juM4t5qDmH51HMdxHMdxBH+ocxzHcRzHmQAOVPr19SDqA4XVoWhB3c4BADV5BV8rRIzT0FXZ0iKohm5J7CqO8O/Xl1j/0FxigcVgkfP3hxdY73R/ld2v31Q5T/GDOX6d+oRowBZifn172ji/nxO9QGJ7D6muaNC6YjHSDnw+/ZQ9BWt69ldPAkhULyYCFrVQSUQTqHHZRIMkLZqJ+PwWYtYULUkMAEfFJuZwtsbHyB2l+Kk8a8rOZnmM1bPikp8Ri5GINR5a4yIrstRoILqhMRo7qOVJwmMon9LQcft6RbFsKXF7zxT4fPMxj7HBBGvqeiHCSv/VK/aZxnHa/liNx8qLl1hzZxf21tBVpKJO8QLriZKLYkmyJprjMdVJ0hYl3B7VIIcqx70Z1kO153j+bM3EEvP5dUTi3K3w2O6XZYYp8djKFvh8yjmO84n4jQDIikZLLTRMPEyCjN+ueKK0elJFqC26QYk7DY5tW+a4TZkDN8V2qsZ9XJCKN/lV3p6syTVdk6oeOn9IBYqUZlf2j+Q7gT8dAGQMRTIfiqa4ntlfRZtKzJq4kp2mOJfh9pfl82fF8qSf4WeMxriSI4Kv1DmO4ziO40wA/lDnOI7jOI4zAdzx6VfrAfm14fJttF5PbU+lWyV9MM6yJJVuPcLp1m1Ntx6WdOsRKc68xEu99y5wqu4tVU6nvrV0luIHs7z9mCz1zka8NF+M+B1+tQhRy4+mpE8bkm7dGgwk5iFYl9e361KxQV/v3r1awKvEkspITCta8PUsGS+VVyKNuf0VSTfnUrGmqzkuy+cDQDWqUTwrBetn5ZpNZTgl9liGj/lChm0rGhGnzPUVf7UAwIDHbLYvY1IkCOMqUJhYHOg9lJci6V2pAtAt8T3SKPH2lxK+5zR9NUl0QganO6+mh57aOkzbn1/haz+4yH1VvCCWJRf3mW69zPPPuPnSMlJ8vSQWJZJeHcxx3J7n9jcX+HitOT6fFhdnQWeGzy9M83xQqPD5zpbl3stLnONYq5vovQkA+UgrEoiER9KxA60wIGUqGgO+fzZ7nN5b73AfX27xnL7a4Hhjk/fvbPDxO+s853amuX3tKZ4/imVJzxa4/XFWxsQaH3/cmBpb0UYsmW50RZvZLLdvIcPz23TENmH6HVEQi5NZsbjJh3QKfy98pc5xHMdxHGcC8Ic6x3Ecx3GcCcAf6hzHcRzHcSaAO15TF/UCcuujHH09rakLqgcSTYiVpW7MbJXC7iLn4+uHRUN3RPRBoqFLjrBG4/4Ftij5rJkzFL+t+DLFDyRclupIho8/NcaSRC1ItkUzVxvw9jXRe6z02dLlUo81Mpcl3uhzezZ6oqHp8/F7oqnTklCqqctG3N5yzOczLSVbZjKql2BN0VLMljeHVP8Wy+vsxtdfNXbDY0gZLeM2lox1klqmpiifmRVblWeMNSHNwGPYBlKGqM+aj6jLGrtMV3SmPe7jfl0sCqQMULTJfZpZ5c/Ll8WSQeKuaHY2s3JP7lko8GDTDgleaL16PU+tsoausywauov8d3xpmTuneIHHTqpMomroxpRJTGnopKyXzbL+sbfAY6u5yPqwxiGx8+DTRWteLJ9m+XymZngsHp7isXesVKP4rjxbtBxKeP85sSSqxjxfFC1dejIvc1AsuuRYBmxfbJdUR6w6480B91mtzxq55R7PyefafA3OVjk+s1WleKXK13BbNHTdslgQFfn+7Oe4PQUpY5jI/KdlCsfZ5Oj2eEyZwlL2+soUniwsUnw4y98JCzGPGdVpz8h3blEsTvbr2+UrdY7jOI7jOBOAP9Q5juM4juNMAHd8+tUGA2S2humr0EnbS6Qcz/UV/Jkqxd1DWiGCl6a3D++dbs0e5eX7hw5x+vTdM6cpfluB060PZS9TvBjp0i6nYxS1JFkb8FLxeXld/lyP8x8v7bBXAIBzHV7Kv9CS9Ku8Xr/R4vY1OpJ66/L5pKoFaKpNNmdiTg/ls5wKKWb5fOfEwmAxz+mmI/kaxcezXJHjRJbT5cfkdfeFKP26elkqPExFmiLna5S3ZdnOx4ykU7TPnpF0a7PHYzzu8j0Qt3kMlNp8TSO5j6KuVHhos81DqEs6doP7KCcO9PlpsVSoiM1OLp3SnlRa/QxObb16z21e5tRY/pKk8jXdepGvVVbSrVirUTiuoo6mW2OxeMK8WDwt8nzZOMzXurHI17bJygG0D8n9O8f36/FZTp/eU+b78w1Fnl+PSTWXIxn+/WrMY7cidiSlSFKJu6ybJKY/U8udvS14+lKFZwDug1bg9GNDKsLURCJzMc/X6EyBq468WOY5/VSFL8LzZd6/VuIx2M9LxQRJt/al4k1J0q1aIUJ7b7/p2CgjtlNZ+Y4scPtTFW3K3KKXSjymny5whZ/DCY+huYi/s4tia6WSnNj2Z8nkK3WO4ziO4zgTgD/UOY7jOI7jTAD+UOc4juM4jjMB3PGaOgwCrDnKaQ/S7w5HBc732zRrQPrz8gr+IdaE1A+JXumwlK06zBqQcRq6dxVfoPh+ydcvxpzv1xIkalGyKRq6i31u7wtdfl37VJvjF5qst3hpm+vyXNhmvcbmNvdnry6KiaZoGNsSd9Vug39dHEygkrtOhndo5Thek/hsUcoIlbm/5iqsMbq7wtfj/hLrTR7IX6T4PrGcAYBjGR4TcxH3mV7TxVSlNNYN9YvchylLhD5PAy90eHtTNHRxi7dnmqzByzelNFSb+8xU86K2QWKBEm+w5i4vGrv2lGh28nLRJ7dKGDr9GGc2q6/EmRXW4xRY0onSJb5hcpfExkk1dGpZMqbsV0pDt8DzQWdpb81xfUk0xzJfDhZ5LB1eYLuI+6t8wm+qnKf4DTnWnx7PsIZuUTVzkdoL8fkmxveGllHcDS2tuF+ilCaPKcvx+4HjedHxHom5D45lahSrLviuLO+/kDtK8VN51pSdzbLmrJ5wn2nZLkDKFILHVFY0gpGULexLGULV8NqWaOxyotktqmWSlCksc3sbFZ7/XqzwnP+8WJ4cF93mrNjgJMZjrhv2N158pc5xHMdxHGcC8Ic6x3Ecx3GcCeBApV/N7DSALQB9AL0QwrtkuwH4VwDeB6AB4FtCCI/uedAQYFcsF7L68jSAHP9sMMNLwa0FXkquL8kr+LwSDSzyUvB9h9iC5J1VrhDxzuJpih9MpVv58/V16HbgdMnlAX/+GanY8FSbl9KfbHD87Ca/zn5mo0rxZk0sXzYkXbHJ/VOU7I8UdIBkQxCJ60zU13wrh5p6G2T4B/2cxry/uqN3Kjwezkzz+V6qcnrpjFjenJ/meKXM+wNAPc9j4F6pYqHXfFw6ti82N+pAvz0jKbAOxxdaPE1kGhwnddle5z5JGlJFoCmWJlJhQmPbkvTEBo/ZfE0c6ws8xjQFP0n0+zHW11+1BSpy5h3FS5y6ya1I367x2BpIaiqVGle3/zEVddSyZPuoWDxJRZ3mEb6BbYnbe+8hPsG3VC9Q/NYSV1t5MMvbj0qFmFmxfCqMqbCjqdOu2It0A/dXd5dUq6bTumNKnsQyielKjFqk5CV9lwHHZZFzFKWNFZlk56IaxbNaNUf6tJrwNftUho/3fMw2WA2T74zA52ODfVa0kXjQ2GdFm3VJx1bkO3VKbLameYxcEAnC82IJc59IAJakKkkOPIYaMsbGcaAe6kZ8QQjh8lW2fSmA+0f//iqAnxz913Ecx3EcZ6KZtPTrVwD4uTDkEwCqZnb4VjfKcRzHcRzn9eagPdQFAL9jZn9pZg/vsv0ogJ25q7OjnxFm9rCZfdLMPtnpN3Wz4zjObcvO+au/WR//C47j3DEctPTr54cQzpvZIQC/a2YnQwh/smP7buqZlGAhhPAIgEcAYDq/FHDlFem8vkoNhCnWA3XnpYzVIbF/4PQ5eoucHz9+iDVxb53mV+7fWXyJ4ocS1pDsV0O33Gf90qluleInWsco/vQWx8+ss4bu0irrGcIq91lunf9OyNUoRHaTL0d2SyxeGqzviFusJ4g6vN1SmjqJpcTKQErUDLIca0mYbom3t6f4eKqnaM+yxujlLe6fDdFgrs+yngQAGlXW7XULp2UP1VXy1pTGLuI+eUBsVLaKPKYvV3nMbzS4za1tHgPJNvdJbpPbn9ngPom2WeMSRLc1kLJiKYuTTR7T2Q2x7SnxPTFpmrqd81fu+LEQaq/2d2GVr3V+lfs2XpWSShuiqWuxZUiqTGJR9E+ioesuqmUJj4W6lElsHuX7OXOEr/X9h9hO4x1V1sy9o8TzpY7tIxk+/tQ+NXPbokHeFkuoLZHM1UT/tTkQzSGARuB9OmIxNBBNWWT8IXkpKzUVqQ0Lx9WIFy6mx9i06HfKoZjjopQpnDLWAJciKWMoGr1IfKdOgb80G30eY1Hv+soUoidlCmW+SZUprPE9kq2IhrcqOusqt68+w+07Izrql8usKTyRsJqsEvE9UBtMcJmwEML50X8vAfgogHfLLmcB7HwquQvAeTiO4ziO40w4B+ahzsxKZla58v8AvhjAE7LbxwB8kw35HAAbIYQLcBzHcRzHmXAOUvp1EcBHh64lyAD4SAjht8zs2wAghPBBAB/H0M7kOQwtTf7u2KOaAZnRcmolvVTen+Gl4OZ8IjEvjbYXOF1Yneel3DdVuaLAO0ovU3x/wukGrRAxLt16QdKtJ7vsbv2pxgmKH904zvuvcLp1e4X7JHeJh0xO3kMurEn6Z537I9ng9ma2eSk8anAMXUrXeJcqIHuSkVxlIqm6gljYlCS1J9ULWrPcHy2xbGnW+fgbzWmKH+/wdgDoDCQdM6MpsOcpjq1G8aGIx2Qx4jYfEd+YzSyPyeUKpzMuzXI69hlJKbc2Oc5ucPuzNUl5bUoKTywHUhYnkhI0Sd8mW3y87CZ/fogmLP+6A+sD2Y1Xx0d+Te63Ve4rqNu+2MtA7DaiAl87E7uGVEWdRbF4WhT3fakQER/ma/3gIqdP/8oMp1fV4ukhsetZFIuSYsTtVzS9uiHz6UXxOLrY49TZco/v5+Uux+u99HfKZpf7qD2QFLDoBTIRX9NCLOnXDJ/DfMLX+EhSo/hohuUbaqkxLxUeysbzRzniPklM06t8DaNUhQs+fqfP9+u+K9o0+BoXGjwm1UIJ3b3TsbbNOtVMTb4D17k/srN8Pq0Nvp4r2zx/vtTk7+SLeR4zczHfE5rSH8eBeagLIbwA4O27/PyDO/4/APiOm9kux3Ecx3Gc24EDk351HMdxHMdxro4/1DmO4ziO40wAByb9+rphQEiGOXrVTwFAe47z5805sbiYE0uOec7f3z/Dmo+3lM7x9iyXDDkiega1p+jKK/Vpy5IZij9Zv5fiv1i/m+JnV/h18vYF1g8Ul6U93FwUV1jvoRYKmZqUJVJfLS0Z1ZbXzUXvgD5/XhjsXWLHVE8lFg2Q/jYpFReL3UdckhJYG6rnYv1Hpsm3WNxmPUijn9bcPB0WKVYLgJxYBKjFQT7LfT4jNg5TMqa0dNIbpIzNmcosxRekVN6WlIJri61Np8rbM+uiqdviPoNo6EJPdJQyZuJt3j+7xZ83iCdYUzcAkh2uJLka95XebwPRC2nfWob7TsuAhVkpk3iIx5Zq6FJlEpf42t0rZRI/e4Y1xu8qvUBx2uKJ79dx8+Vm4LFyXuwyTvf43nuhzRrj0y3WQ51t8ny70uT+2mjK2AbQEh1tX9oQRFMXiSVRJsNzYDHPc2Q1z/f/kSLb1pyQWnIP5PldwvuyrIk7JhrceSkzpn1+RGTLEN1jVyxcrrdMYXZbSlGKxjazLZZKMn8M2vIdNEbDm03N+dKeTb5+DdEgX2jyPXS+zGPoUMyayNogbXu1F75S5ziO4ziOMwH4Q53jOI7jOM4EcMenX4NFGOSHS/id6Wxqe3OWl4rbnIlCd46X9++e3aD4oQrbRTyY46XuozEvnZcjXmpVh/N1eQX/hR4v5T7aPEHxX9bYsuSZS5xO6J7nzyud4+f80kVe+i8u8/nmVnhpOlrj1+OxxfFA7SvU3VvTqWKxkEqfjiH0x+9DyNJ8JO01OZ+4zq+rFxp8PeIWb4+6MsYG6fNpgK/JMzGnyIsZSbfE3Map6DTvn3CKTdMls2IDcUJSXPcW2Gbn+Sm2ddic5vRGR2xf2lN8D+XKkqLOcxwlkjLUMdKW9EiD40ydj6dVRCYJ6wPJjiGZ2ZSKEGOqd6QqRhQkXSgWJp05HpuNBbGf4OllbEWdt1dZjqIVde5P1igel25Vi6fLMl+e7vJYfabDpcGfbHBVyWc3+YTObrL9xNYmp58HkgqMGpqLBOKWpFd5SoXpFCjDtysuSGsFniMvl3jSOzPF6b0Xq/wl9vIUx8sVPse35rlixP0JX8PD+6xo08ryfFIr8jVZm5EU9riKNltS0UYqzMSbfDy1LIFWtFGLE/kOULlHTiQ3yRZ3SEvkICsN/k641OF7bDWR/ujz/uOY3NnOcRzHcRznDsIf6hzHcRzHcSaAOz79isjQHxUA1+LsANCekYoRM5KOnOE3g+6pcLpA3yw6nuH07Iy4c0fynL054OOf6XP64akWpws+LRUi9O1WTbcWz4p7+Hk+v9J5XorOXuI3c2xNCoJLgXBNlQV5ezWV/knkGmQ4NqkAkXp71fRNMknfipt4kGLPQd3GJdbf1+LRUZfjXI8/3wKnDkKUfuM6SLqwkePl+GdzfE0P5fiaLGQ4no35bdbDUqC7IFVKFqQA+N3y9tqxUo3ilyuc3ulM8fE6Fb6HemV5G1ZTfnLNNT2i18jkbbWoKemT/uROczYAkvqr92y0JW/2qdxB7r9I3va2Cqd6+lUee625RGKZH+dvbEWdI6mxune6Vd0AnhE3gMea/Pb/Y1t3UfzsGt9bl9f4fsWaVBOo8b2a8PSHRAp6AEDc4jk2lX6VKUvTr/2s3E8F3qFblrfPp7kPz8zx/bY2z98JtXlOKTeq3Od9eSM5gr6RzO1NVbSBOERoRZuyvB0qb9ufknRnWyo8tKpS0WaKzydT4/NViU1K7qHzi8g9km2+gEmdPz+u8/XQdPKypF9Xchyv7eKQsBe+Uuc4juM4jjMB+EOd4ziO4zjOBOAPdY7jOI7jOBPA5IpNrpEQAb3iMAfeqqafcTv8djcGM6zhWJpmEcUDJdYvnUhYjzQvGrCc6JnSGhHWqJzqHKH4iTpr6p4RTUhzWSpEXNzbsqR8Ttz5L7I+C6v8OvtgUyxL1DJBiHKsJzDRU5lUcIBsD3nuryD6K9WfWF/8AbqiKZIKFqiLBqnB+rKBupHr+YqmMBKLlsRYD1PaxW6jLzqnXp7P8XKJdT7Plth24XiOdZ3HMhxPm9rocB9XItaELMWsA70rz2Ngtswu/OekCkG3xMfrSRyKrNmxvOgMteqIVpiQaxA1eftANEqThA2ApLFjjGlfqSZUNKdWkPutIvY0s3wtWlJRp8XuNshIRZ37Zlhvdb0VdfaroftkgyvqfLLGmrpnRHPcuMTnn73E916ebyXk1qXaywYPtmQ77akUt0SX25UBqnOWVEQZZOV+KnIbOxWx1JiVayYVEJpNnk+e6vL2ntguxSL6y5e0wg1/Z8zHrGErG89vWtHmXrE8ebHM1+jcNH8pt0Uz2J7m/upWRMMr3zFaRSil4RXddKqiTZ2vZ6bBx8s0RXfa5Pasd7h/VEO33nVNneM4juM4zh2HP9Q5juM4juNMAJ5+je2V9JC8WTz82TQvheenOD15vFzjWOwfljKcziubuN1LxYiNAR//XJ+Xxp9ucvr1ZI1TX7XLbEmQu8RL8cVlsSy5wEvLybJUhNB0q6QXU+7bWhBc06tTYukxxe3tTfPSeE+Wzq+kyq/QT3hpW2pFwyT7EXckPVLnHTIb3L64xqmBWM9/XPp5i1MRkaSXstn0LViUc+xKOqUrlU/OVTkdcbrCRcffkKtSvBTzGC3KGCyKJGAu5hT0IfFtmC9wH50rcgpMr1m3KOmkAn9eLLY1Fku6ViQJmh4xjSV9NUnYICBu77h+YqmjFVnUMkjlDn25/9ozvH+LLy26s5x6umuGx/tDZbaruD/H8f4r6vD8OK6izp+vc/z0Ms+XKYsnkacUuLY9iitSUWeN25/Z4NScVjsBAIhFBsRWCUHSryLZ0PsjEblCTiw8cjWOs1L1Im7zOdf73CenIq1ow2NsWiraVKPneP8xcg+taHNMKtrcXeD4ZIXlJi9NidyjnJFYKtqI3CPKidxDJThqw9XeW+5BcggAsaRfWy1uX63N/aHp1lqXr8c4fKXOcRzHcRxnAvCHOsdxHMdxnAnAH+ocx3Ecx3EmgAOjqTOzYwB+DsASgAGAR0II/0r2eQ+A3wDw4uhHvxZC+P/sddwQAd3yMOfd3UVT159ivcP8FGuojhf4HffjCcezkZSRMXmdPLC+YkVeH3+hw/qB5+qsbzi/znqqeEXK6vDb4SheYn1A7hLroex6NXSikbOZKsX9edastVOWCdw/7SkpiSPygr5UmEpZmohbQNyS61EXy4J17T8pC7Qs5yt6F9TY/iNVZmyb+zuqyQkAyK2JRqYqZXFmpJTcBmtmzs6w8Gm5xGNkS2x25iLRGRprUCqyfSHDY2I2x+eULbDGpC+an15BNHU5vgYpTV0kukkpvRa6YzR1WnpukghA1Nmh4Rnj35KybyjxDdWdEgsRsXnqSJnE3AxryE5M8fx3X55FacekTOJ0JPfTuDKJPW7f461jFD8qliUnL/H8ObZM4gUpA3mRx1J2hfVW0bqURZT7e6D6OSCloQtie6Q6yJQNjdwPek2jTZ4P8lv8xRa3eA42mUSDfGdtJ9xnz+bYx2YhzzrKY1keAwtSprAIbq+WKZyLeEwdTmoULxb4O/hsSTS8JdHUlfh8VMMb5aRUnmp4xUIpqIVSm7eTxhXp7xxTDWOHx/Rmj6/HVi9dSnIvDtJs1wPwj0IIj5pZBcBfmtnvhhCekv3+NITwZbegfY7jOI7jOLeMA5N+DSFcCCE8Ovr/LQBPAzi69285juM4juPcGRyklbpXMLMTAN4J4L/tsvlzzewxAOcBfHcI4cldfv9hAA8DQFKeecVioVsOuiuyFV5qXSzy0u9dqaVmXn4vinu20gi8FH9RXtF/rsWv4J/enKW4s8ZLtaVVXpovXBb37xV55X5N0qtbYtEh6UNNt8bTkrOe56XwziIv9TcXeSm5cUjcztmNI5Xu6ZfFjT0vFSJi3l8zGX15nTwWd/XWqqSbStzeSoa358V+IOpLarBW47gt6ZhtTucAaVuE3AaPoWSL0wNtsShYafIr8ctdTr/WcurSz32qtjt5Sf9MRZwSqyYc53OcjtjOyzXMqkO+/G2Z5fOBpENS9PUi9/fefsDZOX/l8lVEOysQSCpP71et4DKocNyZkrElt3dvmvv2qMhRToj9xAmpDrAgl3K/FXWe77Kl05Pb/Hf9s2ucGmxf5NRh6bykW8/vs6LOWo1CnS81NZdKrSKdPk2lV8eMdz1maPL9ZyqRETlCIn1aMp6z+1keE70it2+jwhKbF6d40j5d5GtwIsNjYjbi9ugYqMh0oHIPTffmC3y+bRnjKblHXvpXbX7GpV+l/0y+I1PpV3EZijp8gk2p4FGXdGujt/czhHJgVuquYGZlAL8K4B+EEDZl86MA7g4hvB3A/xfAr+92jBDCIyGEd4UQ3pUp7K8Eh+M4zq1k5/yVZH3+chznVQ7UQ52ZJRg+0H04hPBruj2EsBlC2B79/8cBJGY2r/s5juM4juNMGgfmoc7MDMC/A/B0COFHr7LP0mg/mNm7MTy/1d32dRzHcRzHmSQOkqbu8wF8I4DHzezTo5/9bwCOA0AI4YMA/g6AbzezHoAmgPeHoDVXmBABvdEb4INyP7W9WmJ905E8v5K/lHBcjfjj1B6iK/qltT7vf6bL+oSXGqyhu7zBeobMOl/CHDuSIL8q+f411vwF1dDJK/iq/4jKku6ZrVLYWWIRTv0o6wO2D/Pxmkuit1pgfcT0LLf3UJnbO58XO42Ir2FPPE5qbX7d/9yW6M2q3L8DtYCAvA7fYc1gril6FtG7DJotiXk7AER13iepc59nGjymIok3mlJ2pse/vzng7V2IbkhI5G+/VNmfmMdMPuExt5XwNR6Ipq6fyN+WomkZpzFKCyflPt57CjjYhNG/K6jdhdq5iN6oX+Lx3RFBU5eHN6IKC4SOlFgBczzHf0MvxXy/lsdojLcDj62xZRI32LJkY4X3z2uZxItSJvE8f172gih6LovFk5T9S2mOdb4spC2LTCx+LC/7RGPWWsTCJzR4DlHdbmikdbs7SUTDWhBLkPY0b+/M8vblbe7zc9Os0VvNs67xrsBzdsG4P4rynTklFiczUnqzlONr2MztreHt51RTpxreMf2vGl2xqIm6UppPNHUmLlcd0dS1+onE+3tMOzAPdSGE/wxgzyKOIYQfB/DjN6dFjuM4juM4tw8HJv3qOI7jOI7jXJ0Ds1L3uhEB/VFGzoq91OaZAi/1LmR5+X024vSCLh2rQ/q2VJBYlVTYhW6V4zqnMzsbvFRdrnF78+u89Jtd56VrrWigr8MrJvYXNs1L7b0FjutHOL2ydZQXVxt3SfWCw9y/b1jg9M1DU+xGfq+UyFgSh/q8rHX3A3/+iljGnJpeovgvC3dR/GLE6Z2oKxUmxE4kqXGqIZJqDylLk156zEFS4HGT98m0JAXc5nNsd3j7ZpfHWCPwNe0G7kMlEcuFfNSTWFz3M+KYn5H0q2Q/QkYW4DX9oVU7hLQj/5h4ktHUndrDqN1Dibdfqa7zyvaKWH6UeT5ZynO68kjC6crxchROlasc5XSHK+i80OD33i6u8/2cucxfaemKOjw2sys8f6tlSV8q6qi9RSTyDBN5ilVZ3gEAg2meI3plvh9TFj9C3OQ+izekysXlGh9vk7+zgkhAbJP7ICtzWE5sn5pb8p3W4PavdFjCUuvz8dpBUtjQijYi94hE7pERyyeRewSVe8hTziCR+SRzvXIPjk3GsIkaxHqSDpYqUh2ZIHuD/a29+Uqd4ziO4zjOBOAPdY7jOI7jOBOAP9Q5juM4juNMAHe8pi4Y0B/JTHKFbmr7bI41Z/MJ6wGqseT3peSJ6gUaoiFZ7fPr3+faVd4udhaxlIiS5iC7KWWztrl9QTR1qVfyRU+gFiaDqpT9OiQlTRalBMph1hdkj/Lnv2XpIsXvqp7m7fmzFB/PsGZnWvRdscglRN6ALSlbpBqggug3mqKhu1STMkQrfL590cdEObFwEL3IbmWE9vuKvMb9Pn9GW0QlncDXWIto6ZhV4pQGhsdcxuT3tXSb/CmZivUiqk7MxvwtulufTiom/ZeRkkfSd4M8j0ctAdVl+RMGRb62s0XWby3lWI95KOYJqWzcHtUYNwLPT5dEf/VyRyyetqQM4bqUSVzbu0xibnVMmUTRl43T0EWimQsL3L72IfGEAdCaF8uKGe6TnlwDHc1SlQ/FSzznlOQaRzyFpjV2Le6TuM6a3qTOuuC4xX3cktKLDSlzVR9w3BmjcdUxkgXPhzrfJGJjlZpvVMO73/lG2K+G17R034A/L0isGjrV3I3DV+ocx3Ecx3EmAH+ocxzHcRzHmQA8/RoB/fxwebRSaKe2z2Q53VCNxc1al4JNHNvl9ee6rNSqxcZqm18Hr9d56TrZ5qXa7LZYBmxJLm6b2xs6sl3aZ1lxN5f0a3eWl+Kbc7y23dJKu4d4af+BBU5//tXqixS/q/gCxfdmOD1SjXTIytK/pLfF0CWFpovekGcLlWenFim+OFWluFfgVIe6lSf6unykS++7pCLGLefLZo37spw/CHtbgvRTCR5G0yGxpEMiSbeaNuhWM8YS5aBD6aPM3rmmkOf7pVeQVI+k/qzA13omz7m/xVRFHZ5DczIfjpOjXOxzOvNsS6oTbIkcZYPPNyvuPLmayDPWZT7UijodqQijcpQKp1M13dq6i9u/dZdYygBosIsS2gvcJ4PK3ulEbEkFgvPcxmDcR1N1bpOJZVK6QoLIPXp7W3Sk0ocy5gbQ+PqIZb6KZL5JTXep+AbPB6l0q3zcTZ4OfaXOcRzHcRxnAvCHOsdxHMdxnAngjk+/woBBdpR+zabTr9VE06/89mZRlnI1VdUGpzsb4ha9IfmONSk432+KQ7rUZk4knxvVOX2g1Qn0ba5UeqEgFRDKHHeqUuyZsw/ozPLa/NIcpzffPH2B4rcXXqL4/oTTrbMRpze7ki4+L6mDU12uAHGmM0txX66PptNbA06XZPTNKn1zikOYpk5fy5uYMqaCvI017u3RSFz89Rz07dV475LKqZRZH5relfZp/mNMujiVnrje/Ey0v7fZDjQmFTm0OLmg8oBeXrdznEj6tSpylGm5f4oy9mJ5U1krSGzJm30qR1lpsRyluc0NzG/xtc5tihxlU+ZDraijFV4EnQ9RlQo/8narplu3j6eP2T7ObVpaqlF8rMJxNuZroG8An81y1Y1cjefo0lm+yPEqtzH0x8xxevukXkaX+UbyjxE03ptxb9+n5x+OU/NJKtY5Whuw9+erhCY9X8vHjUkHq1xF08lxtL8JcYJnO8dxHMdxnDsHf6hzHMdxHMeZAPyhznEcx3EcZwJwTZ0FhOwwZ11KOqnN5Zg1FyXjfZIx7vZ9yd/XA+sZNvqs2dhqs/7BWmInIRKQTEv0Cm3WzAV5RV8tNKJEhkCeNStaIaFT4fZ0WGKCuMqfd/cUV2x4IM8VJE5kahSrhk5RDd1/bd5L8R+uP0TxyTXW2HV7rCk6Os0eCEsF1vSd2a5yA7bFskTc3eOm6FO6cj3UXVw0jcODiuYlEduJRDQlIqNKMtyGQsxtyEsJirRkRj5PxnBXLNpVh9gV3Sj6onnRV/5TFgBiUaAaF7XhUZsbtSyIJ/dv12CGwQ5NXdD7WRhk+dr0s9xX/Rz3fTnLY2UqwyZBUxHfAHmZD3UsdQPPD1sDvt/Xe2zHsdoSj5UGn1/CEjkk21JRR6ojhCa3f1xFHSvx5/dnROO3mEjM7Wnfla5SdM+xSxR/3jzbOj1Q4DlS769PRDznnSuwxm4gVUVUk6saU5P9+wWe87tSdUR1mEme+7CSyBiRqkvZMZYiOt+0gthWifCz05cx3xOdu0oGJTaZX8KYihcpUpo6ieO9NXdpDfRgz3gckzvbOY7jOI7j3EH4Q53jOI7jOM4EcKDSr2b2JQD+FYAYwIdCCP9Mttto+/sANAB8Swjh0T0PGgEYpV+LmfRSeVHynXnjfZIxz8VdeV9aixtv93ktu9mVAtidvdOvUVuWZqViRJDi8Jq6gqb/clrwm9vTLYl7eJmXjitlTsccKdQoPpqsUTwrS9MZcHtWB7x0f7LD+Y0/Xn+Q4j974R6K49Oc3s5IuvSZeXZbPzkr6WqxlCme4/YVL4ldyIY41qt7u6YOE/GQAIACjwm9Bj1xWegX+JjTeT4HTZmphCBvu6SAdzCApkM4HdSQFFqrJ0XlJR1iMiStq4723KcpywVFJRAyplMFuycJkxRqZu/5aGeqFkin7kOGr3UuwxdL5ShFlaPsdz4MPJg3ZHBvt/n+iFSOIiVjMk25v5rcPq0YMfZ+FEuT3rSM9Sq3pzXP/Vc9xJZOAPDZc2cp/pzycxRrlZuTncMUX2yy5sVWxeZlXSQ2IsnROR5Fsa2a5eO1qzxmutPcZ7MlvgiLWa0CJLY3Y+abcWNkW9Kv9Q6fj35nRnLJo86Y+WaMpUnqO1PT3SKXCVrkRe6xTMyfl5X88GCf89eBWakzsxjAvwHwpQDeBODrzexNstuXArh/9O9hAD95UxvpOI7jOI5zizgwD3UA3g3guRDCCyGEDoBfAvAVss9XAPi5MOQTAKpmdlgP5DiO4ziOM2lc80Odmf0XM/tGM9slX3RTOArgzI747Ohn+90HZvawmX3SzD7Z36rrZsdxnBvGjZ47d85f3bbPX47jvMp+NHVdAD8L4F+a2c8CeCSEcPL1adau7JZYTlVpuoZ9EEJ4BMAjAJC7965gmWFOOx+nNXUpDZ2JhmrM69la1qormrFGX+wgxHJD3Cd2iVUfIIIlLVNle7/Ojiy3Z5CT19nla2mQ58+v5Flzc0j0FbNSVign/aH6rdqA+/eFDluUPLPOsZ1jPdr083y8wiq3Vy1aWjNiKSNyrtJF/kHpZf5Stcs1igdNFvGNs0wAgEGF29Cp8O902VUBgxK3aVZqyc0nrNGpRKyBUVseLdPTktJOmwNu36Z4HDTbPIaiNl/DWDQu8RiNS6qsj6Jle1RTp2P85nND586d81dp7lgY7LC4CWM0dUE1dWP0Plmxx8lFPL9k5QaJxpSc0/lQ9Zmql+p0ZT5MjR2Oo/belkKp+VHQ+TCovUdp73uxP8XHP1phyyQAuF9snY5n2PZJy0TVpJTk2VqV4twq93l2Sz085P6eYU1ed5Y1a/UjYtPCUywguuPjUzWOc6sUL0hpzZztbVvVkPlmtc+dvNLhuNESTV1L5puUDv06x4hq6sRGaCD3YF9Od5CIbjXhzytm9i5dN45rXqkLIbwHwBsxnJy+CcCTZvZHZvZ1ZrZ3wcEbw1kAx3bEdwE4/xr2cRzHuWncBnOn4zh3CPvS1IUQngkh/EMMU5rfguFbqB8BcNbM/pmZ3bvX718nfwHgfjO7x8yyAN4P4GOyz8cAfJMN+RwAGyGEC3ogx3Gcm8ktnjsdx7lDeE15iRBCG8DPm9mTAH4UwN8A8P8E8N1m9lEA/3MI4eJex3gNn9kzs+8E8NsYTog/HUJ40sy+bbT9gwA+jqGdyXMYWpr83Ws4MqJRyiEXp5ddU+nWa8r4voq+HN0Vd+ye5D/6A0mPqht/XyoSSIUFaKwWJkqkr19LemacBULCx9eqHJrqK6XS2bw2rak/rcCx3mXH+a0mp0eSOrc3V5PqCufk9Xqxyxjk+PO0ukG0yedjazX+/c20hQHtX5R0a3UqtU9H0iGtWaniUeX9c9O8XL9U4DYcSbiNVcnhZ8Cf15cx0wh7p4PWOxy3Jf0aSzok01LLhTHpELU0UQnBWIuBvS0UbiY3fO40YKeCI2h6X6tzqD2C/lkf8/6xuNlrNZJxchS9n3U20moJnYHMj305H60W0At7xmm7ir3lKCm7Chk7/ayk1qS6QpTjz6vmxEMJwGxmm+JpSWl35Tslll7TijEtsThqzsmcHvGcqRYZOr805NVCrYpx1yKni99U4XWTe7NcMWNWKiYkYmnSDnz8NakQsdxl26nLLU6/duo8hvI8xSNpcP/FDfmeb4uN1Zj5JjW/5KQiR37v9GvIcXsKCZ9/WTQFsY2Rnwj7fvvVzApm9q1m9ucYrp4tAPguAEcAfDuAzwPw4f0e91oIIXw8hPBACOG+EMI/Gf3sg6MHOozeev2O0fa3hhA++Xq0w3EcZ7/cyrnTcZw7g2teqTOztwL4AID/HkAJwG8A+J4Qwh/u2O2nzOwigF+5oa10HMc5oPjc6TjOzWI/6dfHMHzp4F9i+PbW1bRqzwH4s+tsl+M4zqTgc6fjODeF/TzUfQ2AXw8h7FmzJ4TwNIAvuK5W3UTMgHikUciofwWA2PbWpEX7zGD3g2pOOA6yXSV8ml5PNU81NKohUdSSRTV2enoSp+QG0iB9PT+tSdybgfRHXxpgcnyRJKY0RCZ6iWiVLVeirugt5PX2IGXYUmWHBCuznsVmqhR3F8QTAUBjkTUirXne3p3lNh2bZg3diSJbChwVy4TpiDUtifE00Ays0auJ7mm5pxoXPsd+g/dXWVGmqZo66fPOGI2LIjY8EF3kIH/LNXWv29wZTHSvMt73/sTh7xMpyd3+7tfrRefHcfNfqnlqfzPODkcRexydP1Iln2S+iUSTqPMhkLaBUZmjGn4cy3JpxTfOLVP8ZydE45qw0C+pi8WPtLlbke+Meb7/71ri+eOvzL9M8TtKL1F8ImEbl+lob3vGrQHPqRf7VYpfbs/x9u2KHIDvd3FwQnZbvpOafH5BNXXynWkyJixl+8VxLy/fWaK7hNiATeVYp11NWBSY6e/P3vKaH+pCCL+6ryM7juM4Pnc6jnPTOEhlwhzHcRzHcZyrcMut1m85BkSjV66TManW3dBX9l9vUtkJfSyXdKouHY9Lx6TTF7p979170qB0+nRvCxhNZ+eNU3PTGV6anirwUvqlKW5Qa0aOJ3YhuabYZ2yy3UD69Xbp34JUoMjLWvsUp1c13Vo/kl5ary/xZzQXxTZmnh3a759eofiBPEu2lmI+p6JUq9IxnE6HzFJ8rj1D8WpDUszbkt6VSlZqMRA1JP0hKe5UOkRtOxJOfwRNv+Zuefr19cOAnS5JQcfnftOnNzfb+vozpuLP2F9PWUjpdo4HYrnS6qe9pesDvv/kI1ARecT9Cd/fXzDDxUiie/kAz8xwCQi1fVJJzHSe779jUiFCLUveWTxN8ZuznA5ejPixQi1MGgP+vGWxrXm+s8hxfYHitQ2eQ7MbPMdnJf2abPJ3iNX5O2PQlgoOYulkGZnT83L9ilIVqijfeWI5kxR4fqtmWZ8ym+EJU22DxuErdY7jOI7jOBOAP9Q5juM4juNMAP5Q5ziO4ziOMwHc8Zo6Q0iVXdlJXzRi4zRhij41a35cbVS0LE839Qq97RnvW0OimjEReEQaiwTNunyG7R4PqYboR1riCaB6rgx4e0VK6GjJq6MVfn1+eY7LbtWPsB4i7khZspjtObJrvH/UEssSFcBIGaFekY/fqXLcXJD+WUxfr8YRsUVYYs3FgwussXlz+TzF90mZnvmYr1FOasirhcnagNt0vssaurMNjje2WDSSbPHnJdtyPlsyiJr8Sn9QmxjVuCSiQ0xpXLjPe4XJ1tQN9pjFtUyYqT5RJcFy7VUj25X7Vy2GVJSnGtlx82FO7vdISkz1dD7UOKMeI2KBpPNnb0yZRZkf446UnGqLhrjNDVpri6AKwEqPLTk25AJW5RSOyP37eYUXKJ4VzewLU6yp09KKes1Up6xz7InkMsXHMixaW4z5ftP5RcuALQ/4Gj/b5bpkT9ePUHx6g+eb/hp/XoEdV5Bfl+9YKe2IBp9var4R1MIEoqPuljISyz1U5jFTER34fJY1dFpGLrF0+dK98JU6x3Ecx3GcCcAf6hzHcRzHcSYAT78aEMdXtyUZl27oS2pIs7OxpEOzspSq6YaMtKWTEbfvjKQPZGkeGbmkYv8wzq1fKypEbbGf0PRrh9uz1eFU2FqPl/5rA05HtAIvPU9HicTcfk0F6Ov2y0v8uvvZLpdj2JTUQLckqYMab880JfUnl3sg16Mnr7O3pyRmdxC0FnZxnF/i9MCDhzid+s7pMxS/Pc8O7ycynG4oG6cLNOW9IRYmZ3pVip9rscXA2W1OWfdrfM3znBFHbkPSr9uS7tD0q1b1kLIllhXPfUmH9FPpkMn+21VTkMRg7/GbSr/2ZTyL3YTOh12VpwS9dhzqfJg3HnuFmONswsfrZHks9bNSoSe7z/lQCF3+/KjFsc4HkrlEvMWfd2k7XTHmhSZbdNwrconpiOUVC5LevFtSzNWILUUekuPVg1j8BL0G3McqedE5uGw8h8dyf6bSrX2+3092+Pw/0zhO8RO1JYpXVzhdnVvl9uTXgsRyDTdZvhIaEst3oGW4v6zI5zsoS/q1IveEXPJ+mY8/W+RBs5TjCXMhI1WO9mmbNtmzneM4juM4zh2CP9Q5juM4juNMAP5Q5ziO4ziOMwG4pg4BSTTMeas+BABaokdoyevnA0iJESEZU/aqHPPv5xPWA2wne2tI+jlpc8Lt05JKKfQVftHcxS3WAyQN0UfV+fO36qw3uNBi/dVKkS1HNkQ/UBaRT9lYT6Kv02vJmu35dNmtnZzPVSnuVHn/RErOxGJRoBVbgtxBffn4XoXPZ1CVEjFzUkMLwP0zrBt8h2jo9JzvFwuCmYivQWLcyM0Ba0ou9nn7qTZrWk5ts0XCpXXWuCTr3EciEUF2Q3SaqnFRTZ1qXLQsmFiYDEocd8t7WwxMEgFsImKqoRPLDuvurZGNtMyVWBRt93ls6fzYxd72EOn5kBug82Exy9s3c9z+fj7eM0ae5w9TjZ2gJepU76l2PLkNPv9sjftvY401xQBwssIaVdVUlSLug9h4jpyN+Jzm5H6fERuYdClLtZ3JSMznpJo51ZFvDLiPLst3yskun++nGndT/Ml11tS9vMLC4/gSn2+eJYcoXpbvqDWeX7DJ3xmD1t7f2ZHMLyjzNexO8fb2tNj+8FccshW+J5aK3J7DMn/PRfKdsM+nNF+pcxzHcRzHmQD8oc5xHMdxHGcCOBDpVzP7FwD+OwAdAM8D+LshhNou+50GsAWgD6AXQnjX+GO/aiPS28UboNHXigiabpClXiGRpetixEuxZbGfKGV5+0pe0g2Sbu3nOQ55cb/WdIO0R1NdkKXpTJ3TDUld0pXbnG5obPH2s3VOv75Q5tfZjyWrFE9L/0xLakHdy9+c5df5+5W9+/upAruXn53h9m3UxXKlxf0XxHHfJNWR5DnVWC1yfy6Ween9DWVOtQLAg0W2aXlT/hzF90rKejHmPhpXMWJZrvnJzjGKn2qwo/uLNU6H9Ff5GhfWKER+jcdsdl0c3evi6N6WdIhWkMjy+aFUpLBX4THRnuIx0KlMbvoVBrINMal4Yt0xFREkWyq3C9odSb/2uK+3xKKoHSTVJak/nQ+nJNU4mxGLo7xIBQp8PK0W0i1IhQepLqKpNdPqAnJvqP1FvMFxXqobtKvy/SBjEwBeLM5RXMzcw58h6dFWgeUXJzJcQmEhFpssqcqT2P4qqvTAfbA94EGxMeDtF/s8Bp7vsFzj8QbPL4/VjvL+y2w7FS7w8UoX+P4tXeQxkL/E84ut8fw42OYxFXr8nTbWwmRKxvgM3xNt/gpBd5r751CFx9gxKYFxNOEJdFYkCJ09PYvSHJSVut8F8JYQwtsAPAvg+/bY9wtCCO+4lgc6x3Ecx3GcSeFAPNSFEH4nhFdcLT8B4K5b2R7HcRzHcZzbjQORfhW+FcAvX2VbAPA7ZhYA/NsQwiO77WRmDwN4GAByhypI4uFyabOfpPbdlvTr1kDf/qpRrOkGLWhdMl7Kno0l3ZCTVFWel3J7Bb5kvaKkGwry5pK47ZsuRWu6oc3ti+q8FJzdKEjMn9+qcfsubPCrQM+W+U2ou2TpeS7i6gj6dpymFu+SEZwYF7evRrz0fTzH6d6XK5wKWe5we7e63H9a4Dwjb+sWM9xfC1kuznw0x0vvJ7Lp9OuxDPfJEUmvzER8DfTt1nS6VRzd5W20z0h65Kl1fvt1bZyj+6o4uq+Ko/uGpLhkDA6kgoSmQyJJtw4qHHemef+OVPGQS3rg2Tl/JRUudg4tUK8VYlLpV752cUv6rs19u9HlsVfr87VoBXlbX1LpGUkNViTfOy/Sgvk8j5XnS7x/ryTXXlLtvTKnP7OSWkvNh82938yONvl+zokUoVjm8+vl0+sm9Sz32ZPG91tHqnisVfnty4v5ixSn03d8v+l3jqZ3+1L2oyXpvtpAPl8qzrzU4Tn02TrPL6c2WHJz/hL/PpZ5ji2e3zvdWlyWt4Mvc8o/bEj6Vd92FQlAJN+RmOL5rjsrkpwZ7p+O3IJRlfv7aIXfbj6R5zl/Keb2VyOp0qSaiDHcNg91ZvZ7AJZ22fT9IYTfGO3z/QB6AD58lcN8fgjhvJkdAvC7ZnYyhPAnutPoYe8RAKg8uBR0u+M4zu3KzvmrsHTM5y/HcV7htnmoCyG8d6/tZvbNAL4MwBeGEHadyEII50f/vWRmHwXwbgCphzrHcRzHcZxJ40Bo6szsSwB8D4AvDyE0rrJPycwqV/4fwBcDeOLmtdJxHMdxHOfWcdus1I3hxwHkMEypAsAnQgjfZmZHAHwohPA+AIsAPjrangHwkRDCb13LweORLqq1i6Zus8f5dn2FvyEWF/1IX+FXDQlvr4r+YTbHGo9skfVJPXXPL8rnF0VTl5NX+LO8PTT4+EH0B7bN7ctusB4kJxq63Bq3pz7N+58SS5PFnOgJpD8SY/vwRXm7WzV2h2P+O6USsb7iqGh2VnJsH1IbcHvrA+lv0ZtEoqFUN3g9nznR+M2KXg4ApuWcilExtc9OtsXRfXnAxzzZ4T5XR3e1GDgjju6ZZdYlFS7x5xdXWJeZXZW/u9TRXXRK4y1MWNPTmxaboapYmKQsBiY3Q2lh+O+VWC2KuqJvbPPYyDT31tS1W6LvavNYXOuVKd6Siju9mNuj92vR+PMOyf15OM/xVJnHznqF5+OOuvuL3jIRPaZtieZYKuoMJDYZy7FYpBTyUnEokbEMpDRdjT6P76elis1qk7e/OMUWIEcKNYrnE9b9lWPus0TK4gyC2FLJnHe5y9d4uc0iVbWtUh11fY37PHuJr4nOJykN3XmeU5OLPCbCeo3igdjU6PwSFURXOc3t7c/x+bZmpaoUSwjRmeX+XKhy/98ntlVq46XfAUWpoqTXaxwH4qEuhPCGq/z8PID3jf7/BQBvv5ntchzHcRzHuV04EOlXx3Ecx3EcZ28OxErd64khIDNKiW530+7fGeOlb003bAb+HXXjTqSLi5KOXdDqAJKOnC7yK/YrYu/QKUvqaYo/L5H0hG1KOlbc/FPpBnnlP65xfxQu8/l3KrxUrZYD5wtVih/LcuovrxXGhb5YgCxKRYeiFLueMT7/sixlH4m5f1thW2Itjs3oX0VZSSflJNWSl+ufs3TBb7XB6QZent8OfI3Oy+r8qY4W0D5B8aPrbGHy3DKnZ8MFsRjgoh0oLouj+8oYR/ct7tNxju6RFNAeTHPcnhUX/xlJGc7wNetNp1Pck8TOIa0VJCAWRdbiONMUy5GmjOg6zyfrTZ5/lqV6+arIF+4KPH8UjOefSsTXfiEWC6AsWwBpRZa1aZ6PO5qaF/uJbI3bl2xz+03kJ0FSeZraiyT1l42k/yxdzcQGUuWiK7ZQUtXm4ibvv1Jly42ySFoqeT6HQobvt4xIgDT92uzxNdluc59uNzjuSBWhSCQ5RZHkFMTFqXiJx2xBLEsylyTdusZjYiA2M2rTFWWlvys8ZsIsj4HWAs9/jUN8fdpzUkVojue/E9PcvnvznF8+LhVBVG6jtj/A/tKvvlLnOI7jOI4zAfhDneM4juM4zgTgD3WO4ziO4zgTgGvqAEQjT4DtTi61XfUGqiGp9cXiRDRyqiFRTZVaXBzO1ig+VGK9wMoUf35XNCTtaSnhVGF9QEb0Sib2EmPL5GywpiUnmrpiif9O6Oe5Pds5bs9zGdaDRFrCRspytQLrDx5IWK+wKBYiqtlRSwWNyynV3PWh+jgtI6dllABgW8p8rYlFybkeX8NTHS7E8niDSyM/UTtM8YuX+J38wQXWGd30Mj2iEx1bpmdWNC5aKWuG+ytfFQuVSSIA0c7TlbJgWvbPmqKpq/clzkjMfb3R4Pt3uc3XaqXH89OGzIdl4/bp/TcbsQbv7ixbGt1dYr3ouRm209ja4OM1pYxhVvRp8TbfS5FojNHj9qrmWPVcKY3tLj75UYf7LNPkPk22ec5s1zjuTvH9sCVz/EaO79eQFcsgaaQ20UTjF7V5PogbvL3IXYAsV8VCfl3LCMoYuMzfOdGqzCc1PuBAS7uN0+hWuL/DHE8Y7UM8BhqHuL+b/BWF3iH+vBOzNYofqnAZt/uzHC+KzY9aVnUDb2+F/T2m+Uqd4ziO4zjOBOAPdY7jOI7jOBPAHZ9+3cl2O21p0upxF6XSDUVON2wNahRPjUk3TEu64UjCrzsfK3F8eord/pvTYu9Q5aXyzoykGzYl3VCXdOs+HdX1dfFiThzVpTrAQCo+NIyXnk8OOL3SkNfra1Xef6XE/X9flv03lmJu72zM/a0WM4n8naMVQcah6dWupFdbsrS+sUu2d3XAfXamy+nVF6RCxMltTq8+W+PtF1c4RRUtc8q+lEq3BtnOY+CGO7qLxUDK0X1eUmpzYmEyJ+mMGR7TC1OSHwLwbOonBxMLQLTz8nSkQozev5IKz9R5e3ZbKjBs8/3QFPuK8w0eW2fKPD/dK+nT+Yjnw7LxWK9GPH8czdQofkOR5RZnpjmV9pSk6ttSMaJR5/s50+D5JN/h9kWSfg3rnArU1F8qHdtP3+AZqfJRbPB3SnaD29ye4WvSqYjlUYnvh16Oz3GQyBymLiuSfpVLhJiHSKoKSVLnOLshFWY2JOW/LvODSHqCWCANVBI01rKE+xPzPEa6izy/NJa4fxuLMr8c4s+rznP7Hqryd84bC+cpPp7hMTMdiQWMfOc0AstFan05nzH4Sp3jOI7jOM4E4A91juM4juM4E4A/1DmO4ziO40wAd7ymLgDoDYbPto1m2tLEjPUCF0XDdb5cpXhVNF3715Cwhu7uwirFp6ZYL/X8jGhIaqwvaM6KZmxTy+SwvkBf6e/XpUyO6Bsied08k0iJmAzrE4JYvJhYljR6fD4vtvl8N9vcf+enWdNzujRP8fEc999iwu2dk7JEJWP9R140kZGMB7W86UiJl8aAz2dT9HJqAQEAF7pVil9qsgXJi9usWzq7zvs3Vvka5y7xNcmzzCltWXKBx0B2mTUvWKtRuO8yPWJZsu8yPfN8DeI5bu/xWb6HlgrSfgB/mvrJAWUAZNo7+kP6Xi05QkPu37pc6y0er8mWWAptisZ4m6/lSxW+/87nVOPKcRE8NgqiOT6S4fbeL8c7N8V6qdV51gxfbHB7m02xbGmL/UWXzyfXl7E2kPt/i8eWapD7m+mxF4mmLhLbqOwWn0OyxtekX+Y5tFcUHXNObJR0DtalnJSmjn8QdXh+iFtqgyPnsy0WQtv8HRLkOyVVik36UInEFiua4u8wiGVJZ5Gvaf2IlD07LGXSlvh8C4usw37jHI/Bt5TOUXy/PAMsxloaksdcO3D/rQ3488/3xLNpDL5S5ziO4ziOMwH4Q53jOI7jOM4EcMenXwfB0O4Pu6FbT8bsDVwq8VLvmQqnwi7mOJV0NL5McVEsLzTdsBRzukEtAe6rcDry0gwvLW9LeqS5KY7q22JxUpf0qyx9R+JQP2jz0rq6e0cRL2WrSYwF7p+oJ693dyTdIynxVXG8r81yqvHlqSrFS2W2A1mUVNxswu0vx5yOKkoca8UL8QfoBqmg0eNUwXpPLFla6dfVV5qcfrm0Ja/gb3I6JlrjMVS6zG3K8xBE8RKnTwqXxObikliWrHE6M5Vu3a+j+2yV4vbi9Tm63zXHKfUHKnzPLOXE4n6CsADErR1jUisgyP2r8opom+ebRCyPchta3UAqTNTk/hOLkdNFTscey6xRPC1yh3KUl+08lu5NeDCvFDn1tTbD7d9q8fzREEuqSKonWJ9nLAtiNwImEosmqB2HVlNB2vIniA2N6ZwqFkCZPJ9TJietEglMyEgbTT1NZHNPbFhkDEHSx5Bz1CpEQcacjkm1PDJJV1pOviOm+TskzLEEp7PA82X9CPdPXdOtR8Si5TBfnwcWeD5529RZit+U5zF4LNYxzfeI2l5tDLh/zve4/S+1+R4ah6/UOY7jOI7jTAD+UOc4juM4jjMBHIiHOjP7QTM7Z2afHv1731X2+xIze8bMnjOz773Z7XQcx3Ecx7lVHCRN3Y+FEP6vq200sxjAvwHwRQDOAvgLM/tYCOGpvQ4agqHdHXaDbae7w0ReUCtwfvysaEjOFNl+4kQiGpKI9QgFsfiYFYuTE6IheaB0keJzVdYTPL3Nx2uLRUGjwXqFuMnnU9AyOaqfkLpW+vp5qkwO/zYSeV271GV9REY0MIm0N9lSjY9o1Kb591fKfPxny9zeUp7jQsLnm433Z2nSHUj7unw961KKrtVMl6bri7YzlnPO1/gzczX+/fwat7FwWUrVXRZbi1Up0yM2NaqbHKuhU4uBMWV66tdZpudNWqanxGV6qrGUJZogbBCQab96T6mdjOqVtGwYxOIks8H6npxYJGVrev/x9peqfK2fK3LZv2MJWwzNRjyf5UwskSI+/hK4vQ9mL1Bcq/B8sC2a3cd7otcc8P4pvw+Zn4uiT8tJCa4o4bGsZRUBYKCaM7mfUqXHZP9INHNQDZrEuj2lqQs8XwSZo1NjSm1yZHtqf8W4D9WixEpSRnCK5/DBLM8f7QW+hvUl7h+dT5pHxKLlsNjmHGIN3TurZyh+e+Fliu/NsAZ5JhLNs3wLbg748873ub2nOnzPnKofwn44ECt118i7ATwXQnghhNAB8EsAvuIWt8lxHMdxHOemcJAe6r7TzD5jZj9tZru58R0FsPOR+uzoZ47jOI7jOBPPbZN+NbPfA7C0y6bvB/CTAH4IQ+/rHwLwIwC+VQ+xy++GXX4GM3sYwMMAkCxMo9EZLvFnttLPuFIQAu08pwPOTFcp1ooG94m79FxUozgX83K9Wpwsxvt0VJ/jV/ovNCSV1+JLHrcl7vLSdk5eb4/EUR1jHNVT6dg+Hy8j6d24wRYCmW2pjlDj9rZmOLXQqXDclbhX5HRKrcDtWUvk/DKSmtjbDQDW4x2sy3HU5jhppg9Y4GwnEu5C5Da5Tbkapztya3wN4nVOP1pNLEvUhkGqhoytECGWJRDLkpSj+2H+/VR6ZJ+O7m8us6XAQzlOvyYYkw46YOycv3L5KuLmYI+deU7TazkQd/9oi+PcOqfGcjN8vM6aWJxM8/36bJn9aI7kD1O8EPP8UYp47M0Yp7KmJB16QiyJWoFTY+1pnv86fZ4PngGnthrG7Q9iWdKX9OpALKxyRbGMkmoQABBLSlarfIyzABlXcWEsMiY0RX+9x1M5hkm62AqSbi1Kn0/zd1h3luPWnMwfaoEk2crmIp9fdonH+P1iWfJXZl+i+LOLL1L8kEgIFmM+n0QkBM0gliXyHXiycxfFj9c5fm5jf5Ymt81DXQjhvdeyn5n9FID/uMumswCO7YjvAnB+l/0QQngEwCMAUHjDkV0f/BzHcW5Hds5flam7fP5yHOcVDkT61cx2/nn3VQCe2GW3vwBwv5ndY2ZZAO8H8LGb0T7HcRzHcZxbzW2zUjeGf25m78AwnXoawAcAwMyOAPhQCOF9IYSemX0ngN8GEAP46RDCk7eovY7jOI7jODeVA/FQF0L4xqv8/DyA9+2IPw7g4/s59mBgr9hK5DfT2yOp8tLPcZetSv7/+SnWkJzI8+vJS6IhKY8pk7MQs35Ay+SsFrlkiZbJUQuNrbaU6ZIyOVFPyuT0pEyOvP6uZcGwwZ2o+o++6ElSZcmk5ExOypglG6y/yK+xxqYzxdenW+Lz6xZFI5PneCCV4sShZHfl5s7NIt9STaZUHUOmmc6eJXXWXCTbfNBkS3SIm6zJMdFFhU3VzEmptzEaHbUcSFmWzLGuM6WhS5Xp4T5viAIis8TnM65Mz1vzbDlwQiwGWmpTMUFYCIjbr44PtbNQ+wu91qrf0jJXGbEMKkhJus6UaFin+H58ucRj46n8EYoXMjwfTEWnKc5l9p4f5yW+P6lxe4p8vL6MBbUoesZEY5eREk850egWuH8LZZmfKmnLouy6WF7o/SsaO50T1ZYmiMUI1GJEddApxBJF53TVzKmlSkY0c1q2TMqchTJfs94Ub+/M8O83Z0UzNyeWRyI5ax/i/pg6xGP6gXmeTz5rmnWYbxPLkoey/J27KN/JOdHBtwPPz8t9vl6nuvxM8JnGMYqfqLHudHmVv7PHMbmzneM4juM4zh2EP9Q5juM4juNMAAci/fq6MjD06sNuyG6kN2daUkEgy0u/dU03TFUpfqbALi1Hk3WKpyO2Z1BHdV3aXZIKB2rfsDHGUf0JdVTvc7rW+rLUHvj3YbwUnESSzpAYkm4dSCohZZ8hr+9HmoqQChlZeR0+kaX9gVgM9POSjpJ0yiAr6dhU+nVvN3atQBJ1JV3dETfzlqROAESNrsSSIlMLBOnDlGO9pmskPZNK2RXU0Z3TqWGWx0BnQSpEaLp1iftM060mju5vWLw+R/fZiO+ZywOpijJJBCBq7xhDWtFAr+UY9/+UxUmN79/cKl/bQoWP3y3LtS7x/XmqyPKU2SxbkkxL9Y+8ccWIu4zvBa3Isyj36wBsPxGXRNog+oi8zK/P5Li9tQKP9W6J+7tb5vmjPZVOv+ZneA7Kboglxjbfb1FdJCptqejSkfGdSsfKpBTGpGN1Dpf0KiT9GkSS1Nc5t6gp+4zEfNFaVUmvzvLHd2al4sUc98/heZ4PHpy5RPE7KjyfvEXkG/dJCl/TrTrm0ulWnn9PdVmC8FjjOMWP11iS8PJlPuFwWb6Dx+ArdY7jOI7jOBOAP9Q5juM4juNMAJ5+HRji7WE35DbSztpJg5eq+8neFQsui7v+cyVevj8q1ddnI34zZ7+O6scyvH9dlpIb07x0rI7qJyXd2gji7i3pxkHMn19K9lngWqsXSLpH00F92W6SvjUpNm9SYDzO7R1rugoZbn/I7O/vHutLaqOnxbAl3u3N07akS8e8saiO8ymH+OstoD3HY7q1wPs3FscU0D4sKejDfE3vW+S3yz5L0q3vLLLD+/3JGsX6hnhG3ubrhnSKe1KwEGA7q76oW7/uLxVcQkPuPxlbWm0ks8rXvqDpR0m19eXt0OU8j60nsvymX1leD88btzcxTs0flooPKlc5LOnYCCx/SeR19UrEqbPphOfXZ/M8n58vT1Ncl3R0p6r6DaC9wW1Otnj8Zrf5HJI6X9NMS6r8tCXuiLxisLdERAmxzPkyB6pERR0EukX+fXUg6MjL813uQnSmRfI0w2OgMsNj9niVr+kDU5xufas4RKhkSb9D9Y3q8W+3arq1SvGjzRMUf2qD33Y9tcJjqndR7rHl/X0H+Uqd4ziO4zjOBOAPdY7jOI7jOBOAP9Q5juM4juNMAHe8ps76QLI51ADk19Lam0yDfzYQ/U63JA7j4iD+YolfT54XR/X5lKM664f266iur2Oro3o3iIVHYP3DKeP8fiMSjZ3qK0ST1s+x/ipf4O3xGrc3FsuTIBo6tUBRzV0Q+w+InYfadWgM0eSktuvr/WMIg73tA7T96v6+2z4pR3jRzKXOMSO6KtVZic1EqIpNwyzb3LTmeUw3FsQWh0340Vzk9mWX+JreLxUiPmuGNXTvKr1I8ZuyrJE5EvOYUouBZuAxUxvszxLgwLFjjIUSX2tkua8iHW9if5GqOCGa1SjHfZmT+7solh/9PI+Vvvz+S1meH9VSJCeWI1kTyyPRyKmlSVpjx/Nd3nj+qUQvUDyb4fNfzLFdxrNFrg7wUoXtK1blXgKA7Q3ug3iLG51scxszDY7jFs9JschyI5kSVedrYxxNBtJHQZ4S+tm9415xTFyWOXKKG1ya4jl8aYr7/L4K29S8ocjzw4N5tsHRKkxLMXfAlOjWE7EV0/lkJVUhokrxp0RD98kax08v85jpXpCqLRf5+hZ4uhyLr9Q5juM4juNMAP5Q5ziO4ziOMwF4+rUPZGvD/8/W2qnt0TYvBefFI6Ar6Y6evL5dL/Ly+zMFzlVVE05NVWJ+vboY8VJyPNZRXd9X56XqvhS0jyDF1CP+/WdjSccmfD79MQWuu5LqK5Tldf11KRa/wf0RS/onaDpW455YNmgqs7fP6gK2z7971E7kNRxfC2prUXZ1eNcKEGprESp8zXrTYwpoz/PxW1JAu3WdBbTfPsUWA+8UiYAW0B6XblXLEk2PnO7ehTSnd/nZAWWHRKAn95em3jIiDzCxz9GKE5qOxQanwiJJ7xa0ukCOx1pfLJAaCW8/JfONzkex+HH0ZexoBQmdD3XszMc8P+Vlfp0ylgYsxHz+d+d4rD5XknTstJRDAHBulj081uvchnqd29hqcp9aU2yjujJfpNKvWgUn1STeLCnskBGLkUQkJTmZ8wo8hrJFbtBCkb/jDpV4vjha5NJO9xR5/rg3y/GxhK/5EfkO1QozxShd5WMn2wP+zl8e8PxyqjtH8acaJyh+dIMrRjwl6dbWBZ6Pixf4nihe5P4tXk5LdPbCV+ocx3Ecx3EmAH+ocxzHcRzHmQD8oc5xHMdxHGcCuOM1dVEfyG0Mc9jxRjO9wxZruhIpm1Uochf2CtdXJmcqw/n8UsQajySlGZHXn1MaOzCiR1CLgEQsBIpiqfJMjjWBawW2MOlJmaBUiZgKty8/zf2TE41dssn6g6guZcIacs1UY9cRgYlYOKQsRsbYh+wb1cyphYqWKQNgopmDljZTzVyR+7Rf4e2dKSlzM8ODojXDbWqLDKg9z30Q5nhMHJ5nndGDM2wx8I4K65LeIqXs1IZnUWyDxmnoVkUD80KP77GnW2wjNEkEMwyyr17P9qyMFbHUyQe+nzJadk8tTaSM2EAtg2p87TMynouioRuI3U6Q+6FhrC87aeKXI6hFU1fm41bC890R0diVIx5bUxFr/HJSpmw6Yr3XklhS3S32GWfyrL8CgAuVKsXn2hyvtHhOrXW4z7baHDe7omPuiY3MgPs4BC0ex8TieZJkeI7MJ9wnhSzHMznRtOXUFob77PAVUfuIIwnb1BzNcLyU0szx+RfGWJTo/LEpliXne9xfz3b5O/ozDdbMfbrGmt1npexX5/zeGrrShSCx2PjsovXfC1+pcxzHcRzHmQD8oc5xHMdxHGcCOBDpVzP7ZQAPjsIqgFoI4R277HcawBaAPoBeCOFdY4/dA/LroyX5ze3U9rDFPzNNZ+Qk3Zrn5+ReQZbC83s7qhczvJSdl/fTkyIvhcdWo3heHtM1dXU4VksTXtrOSzq2EnG6ZTrhpe+TOX5d+1yxSnG9zKmC7hT3R3ua49ysxBtigbLFS+uZBjvYZ+rcX9bWmM/PulJFZKAVH/ZrUSKpDelvtSMJ2XT6dZDPSMz79EoaS59OScp7itvUYUcFtGd4TPdnuU9Ks5yCOz7DY+ahqWWK31pky5KHcucpPpbhMaRVUbQKQDvwNbys6dYup6sea97N8cZuliaTQYiMxkNzNkpt34tim1PVkcoVZPwP2tz3A6kAE8v4zmZ4bJZibZ+ki0Wu0ACnrp4eiD1Enz+vIeUN6iWe/+pZHqtHY27/jKRjdSzOS/WWiszPC5KePZ7hGABWczzeV6UKx4rIB9b63AcbUqKhOZCKL31uc2cgNjOSftV0a8Z4DtSqHoVYUtIZ7sNpSY/OxfwdupDhlP1cJL8vn1fdZ3p1AB6zalGyNuD2n+mJ7ViH062P13n+eKLG219a4e/wwUVu3/h0K7cne4n7I6pz+8dxIB7qQghfd+X/zexHAKTvlFf5ghDC5T22O47jOI7jTBwH4qHuCmZmAL4WwN+61W1xHMdxHMe5nThomrq/DmA5hHDqKtsDgN8xs780s4evdhAze9jMPmlmn+y10ylXx3Gc25Wd81e3Wx//C47j3DHcNit1ZvZ7AJZ22fT9IYTfGP3/1wP4xT0O8/khhPNmdgjA75rZyRDCn+hOIYRHADwCAFNTd4Xc+jCnHdQeA+lX+CPR1EVZsV/QMjl51k8M5BX/upTJeTbDr0NnY9Y3JKYlQ05TdH/KHoL3Vo3I4Zj1FXnjh9xi9ALFsxn+ElnI8v4nC3wJT5dnKF6rsn5ke537r73BDU62uL+SbY25v5Mma2IyTblebSk71JWySRqrxckYUhomiftZsXjIpv+u6uf4Z90iH6MncZclIeiwJAfdipT5qbJmJT/NY/zYNGte7pliG503li5S/GCeS9ndK7YOSzF//tQYTYxq6Jb7e1uWqIbuk5scPyMWAwednfNXeeZY6FZevWea8zw2tOQTpK/jtpTJEg1qpBZA63uX3RtssV1FJOM/K5rTMlgPaUE0dmLH0RR92akun2Czx/PbZo/n37US//6DOR67qoGbF/1Y0fYuWZeTknbTUbrE06KM70aG75e6lMlrDPgcNwdSRiwke8YDWbtRTZ2i3zFqe6W662LENjgl0z7jObUS8fnkTXTUJjZW0n7VzDXFkmRDNHMrfT7+6R7rMp9psUbuyW22QHpmnW11lldEh7rM16N4kfu3tKwaOu6v7LLo9td4/lUbrnHcNg91IYT37rXdzDIAvhrAZ+9xjPOj/14ys48CeDeA1EOd4ziO4zjOpHGQ0q/vBXAyhHB2t41mVjKzypX/B/DFAJ64ie1zHMdxHMe5Zdw2K3XXwPshqVczOwLgQyGE9wFYBPDR4bsUyAD4SAjht8Yd1PoDZDZHy7e7LHOm0gtNXvqNarxcn0m4S9OO6rxUq47q9YiXnp8yXipW+uCl3oGkYwdiWbIojuqaPpiPJR1jvLQ9ZVwNYCHmpWJ1B3+hxEvXz0/NU3yuyv4a61v8+fUtTsfE27yUHte5/zJNeV1fMupxh39fHAkgb9PD+rx0blpwQjIZmn7V9NdAHEz6aUcT9PMSc7YSvaJYkJQkZVyW9EeFr+GhCqfIjpdrFN9T5PTPfTm2gbgvyxUjjqQc3qWqgNpWCGo5sDzgi3Cqy678jzXF0X2D46dW+J5pXOSU/yQRMlwRpD0vqXYdXzI+446mY7mvsh1OxUVSgWWwwff/QCpSQLbrKoKODAv8+SYWJVFX0rEdvjlelvt7syX2ITN8/AvlKsUPFdh+54RKCcS+oyqpx7JxexPT/HdaAlOWdGJfqtj0RILTlXRjHy3ZLjY0qRbsjV6jWFLmieyRiA1NhL37QNOpilZ8aATu423ZrunVc322GDndYfnFMw2WCD27xd9RL62xZKh+mb+Tc5fEYoWnQxSXuceLFzXdyvMv1moUDrZZ4rRb1aG9ODAPdSGEb9nlZ+cBvG/0/y8AePtNbpbjOI7jOM5twUFKvzqO4ziO4zhXwR/qHMdxHMdxJoADk3593RgERPWhRmE38wqTsjBBNSWS/45l/0TL5GREAxez/iBEWiaHNSBPSfsGIurqSkmYVvFljpMVio+Ixq4sZXKmItas5OR19Wkpi3NISsKcyPLn3ZtnfcPpsmjsZqoUn6/z6+PrTdHcNbi9zaboD1rcn9aWuMf9l9bUqWgOsoNslj+Tgth5hEQ1T7uMurzoNvNiKVBgjcZ0kTU1h4p8DQ4X+Body7PO8rhYKBxP1ig+kuHjzcoYLY+xKFGNzKZogi5KH5+UMj2fabBm7jMbRyl+VixLmsusgclfSOuaJoVBDLRmX+2/3iEeG1HC81Uz5vvFRKMWdXk+sj7ff8lAxqaWEdvmsTJWYyeWQVk5vvXZ8iTu5CQWjV2L219rsGb30zJfLM/y/Hq2wnqq+4o8f92TYwHV0YTvpSWZ/6pR+v4upiw8xJZJtsey9lKw/a3FqAXIOMZp3vb7eaoRVI1cGzxGt2QMrIqFy8Uef2ecEc3t6RZvf74u3zkbYrO1JjrOVR5DxRXpfx4SKF7i9heWeT7OrIiGbp3nY7UB0mcMy+6tSVZ8pc5xHMdxHGcC8Ic6x3Ecx3GcCcDTr4MAjFzULZdLbY7kdW6tMDHWUV0sS7JSwaEccXoBSHkQUNSUV/6fFMf1Vp8vaWPAS7f1Ip9jPct2FcdifmV/WtKx+jr+vKSbK+IRshBzKu9ozEvP92e5OsH5Ii+Nn69UKb4k5RIuiwXDmjjkb3UlPdvh9rd7kirs8floejuMcWOPxfMklvR2LuFUZC6TttEpZzk9Wc3ymJvLcYpHq3osJtzHRzRFJK75CzEfX9OrRXXNN3Ws39vhfW3A6ZYzPU7Xnmyzg/vjjbsofqLG6djTK5xu6V3k4xUuSft5iE0UIQO0dnTH7ALPP8Us9/3FDN8/zR7fL2oZEvX42pf6nM7MaIUdad+4dGzQdKyk6pIu3x+R3P9xmy1LMk2+fzN1jtvbfL4viWXSilievDxdpfj5Mqfyjhd4frsry/GS3IsAMBtJilbuv5JxXFRLEUm/qsWIWpBcL325xgPRoHTl/m9punXA7dmUqiE1qRKyIin/890qxWdabFlytsnfGWc2ef/VDT5+f43HdHZN0uFcQAfFy3y+hRWZwy+zpVN0ma952OB7UiVb+gyhVaqsKJ5WAMSpjH//6pscx3Ecx3Gcg4I/1DmO4ziO40wAnn7dSSXtPG8DcVSXdKMupQ4kXQBZetV0bjrhqwWuOdVl/b0LXD8rBa7r8jZbrcpLubUypyNqkg49IemDBXk9tLDvAte81Lwo6VgtqF3L8vFWC3y+qz2+Zhv94p7xlpRrqEt6qT3QNzelIojEkRSr1vRrVvqrKAXCC+JIDwDT6lovKfFZecNuLuYxWI04HTAtbahG4ohu3Cf69qoy7m3WFalhfrrH6dJnWpxufbLO8dPrXBHiwgqn/HCJ26sFtAsrUkD7Urqo+qQQMgHdhVfH1IOz/HbmdMJjIRfztXtR5pOG3B8m490G0vdB0rHSvpR8ZUzqSStURDKfxh2pltLkVF1G3o5PGjz/NKUCTXtL5BgbfAYvzvD5Xpji832uwm9aLpV4vl/MS3F2AEtZ/tl8wr+j93tF7udSxPdbXhwJEpmTstjf+NcqRX1Z+2mpw4J8R23JGNH06prEl7v8nbfc5viiXONLdZ7za5t8zfsb/J2XWef2liR1mZO4eJn7K7fKc3SyKhUf1uXt1U2O+3W+npD0tDpsWJHPJ8yoRAvAufSPruArdY7jOI7jOBOAP9Q5juM4juNMAP5Q5ziO4ziOMwG4pi4yhMJQVzUopRVupq/sJ6wfSL/CP0YzssV6qEjsI1ItCKKxG8jnS0WERpf1DC93WM9U77DeYL3D+oZLFdYvrORVY8d22kux6rdYH1AUzV0GvH06ZZ/BeobZmPUMCwN+3b+eqVG8pRYu4kbeCBy3pD9VH9IN3N6+lowQYtGzJHI+qn/Ji8YQAIrGmpmpiM+5Ijq8onxmRa5B3kRjItcgFosEtShpiCXJtmjqLoqNzpkeWw6carNG7mSdLUpO1g7x8VZZtxRW+ZoVLvOYz4sFQWGV+zzZSOsWJwXLBBSqr46PN5b5flV7m3KG+6IvlkgvDXi+aIg+Sme8INVEimLZlIheKE54rAw2eT5MzZdiIRXJfGzivp/riAavyfNb0uB7obUtFYC2uP2dTd6/M83zw9kp7p9LFZ6vKyW+FwBgpiAa2RzPoTNZ3j6VcB9MyZxbjMdp7LiPdI5SdI7TOVDnyEaf789tiTd73Ef6nbPW5jG0JrrIrTr/fmeLjx9t8pjKbfI1zIpmLl/jMZRfkzG0xvdIZp2vR0pDJ9/pgyZfn3Eaukg0dDbFmsHeNG8fh6/UOY7jOI7jTAD+UOc4juM4jjMB3PHp10ESo310mHLsTKULf4tDBXJlXo5P8rwUHa/x6+pB07GSLggNXqq1MenYqMdL11qAWx3hW02xBKnzJd+c56XvczOcfn1xil/Zv6coxd+znPs6KsXg1V6jIq/jJ1qBQdzK9fV6tRjReFx6VNHX9fX3x6Ui9PeRrt9NxJLa3C39mpjYzEifqaVByThdoOmXonyGbtc+1x7syjVoDLgPagMeQ5rybkuKuy9VOSIZA5FU4ejHMiakvrW4cKBXENuZilZpmRziaICp4qvpOS04f1zux4pUL1BMrsVLEadjtxPu7EHCfd0rSDq2KKmxFUmdrfN8hrrMly0e60po83bb4vboF5z1xKKqze3JNMWuoyHH25b5SCxRumX+/bVyWtKzXuRzPlfg+7FUkPtbqoJUEt5ezMj9LbZJamOTkXSsWqAoOgdrlZ2ezInNvkhaJN6W76yGxKmqPlKRQr+UQySxSABkOkIvL+0vSkWOtkicRNIU9ySdyodP2Z4FqaKi3/EmFSSQEYlCZn8VQnylznEcx3EcZwLwhzrHcRzHcZwJwB/qHMdxHMdxJoDbRlNnZl8D4AcBvBHAu0MIn9yx7fsA/D0AfQD/Swjht3f5/VkAvwzgBIDTAL42hLCu+ym9kmH53cOcdj8tf4BJ1a/8mlh2LHM+vLDCryNrSZFoS0qGqGakxx9oNX5dOtuV19MbrGHJrYueaYUvcXOW29+psr7jwgzruc5ML1D8X6bEbqPMGp1xr+tPZ6XkjbyOn5OSVqq3Uj3HQP4uaYu9hpb9qosgS/UejZ6UFepKGSE5fqfP/al6kJ6UYRoM9v93VBSxhiMjmrMkw2OikIhGJ2FNRzXL10xLSVUTvoYzCY/hilisFMViRS0T1FajWOb9F3NsEXCmPMPxbJXii4dY91lbY83LtpQFyrR26fOPp390EIksoJR99R7SElNLUlIurXHl+FDCmuDHSndR/GyV54OVObafaR7i+6W+JPPjqpQVXGULkGyNx25mSzRzTd5uWpZRLE/Q57EYNXjsZUVOFrdEb7YtZQNLcr+XbM+4V0h/xfblZ/28lNXK83fIWlY0Y9ro1EmITjmRPpD5Ix4T6/ySRBzrfBTLfJXaX7aXs6IRlPlqUOY+Tc3xXZnj2zLHtzjeFl15LNc42eQxmq1xnKvxd2a+xrrT3LqM4U0Zw3X5zm+Lrlo1d4MxQm3hdlqpewLAVwP4k50/NLM3AXg/gDcD+BIAP2Fm6TcagO8F8PshhPsB/P4odhzHcRzHuSO4bR7qQghPhxCe2WXTVwD4pRBCO4TwIoDnALz7Kvv97Oj/fxbAV74uDXUcx3Ecx7kNuW3Sr3twFMAndsRnRz9TFkMIFwAghHDBzA7tsg8AwMweBvDwKGw//U/+4RM3qrGvgXkAl8fuNbmffzu0wT//zvv8u2/y590wdP76oy/80Vfmrz/a99HOSvz4a2nSnTh+/PNvn8+/Hdrw+n3+qV1/etX566Y+1JnZ7wFY2mXT94cQfuNqv7bLz/aXZNZfDuERAI+M2vTJEMK7rud418Od/vm3Qxv88+/szz9o3E7z1+3QBv/8O/vzb4c23OrP38lNfagLIbz3NfzaWQDHdsR3ATi/y37LZnZ4tEp3GMClXfZxHMdxHMeZSG4bTd0efAzA+80sZ2b3ALgfwJ9fZb9vHv3/NwO42sqf4ziO4zjOxHHbPNSZ2VeZ2VkAnwvgN83stwEghPAkgP8A4CkAvwXgO0II/dHvfMjMrix5/jMAX2RmpwB80Si+Fh65gafxWrjTPx+49W3wz7+zP/8gczv03a1ug3/+nf35wK1vw63+/FewoL4+juM4juM4zoHjtlmpcxzHcRzHcV47/lDnOI7jOI4zAdwRD3Vm9jVm9qSZDXZo8K5s+z4ze87MnjGzv32V3581s981s1Oj/87stt81tuWXzezTo3+nzezTV9nvtJk9Ptrvk7vt8xo//wfN7NyONrzvKvt9yahPnjOzG1adw8z+hZmdNLPPmNlHzax6lf1u6PmPOx8b8q9H2z9jZp91vZ8pxz9mZn9oZk+PxuJ37bLPe8xsY8e1+YEb3IY9+/T17AMze3DHeX3azDbN7B/IPq/r+R9UfP5KHdvnsJs8h93p89fo+AdjDgshTPw/DOvJPoihN+e7dvz8TQAeA5ADcA+A5wHEu/z+PwfwvaP//14AP3yD2vUjAH7gKttOA5h/HfriBwF895h94lFf3AsgO+qjN92gz/9iAJnR///w1fryRp7/tZwPgPcB+E8Y+iJ+DoD/doP7/TCAzxr9fwXAs7u04T0A/uONvubX2qevdx/I9bgI4O6bef4H9Z/PX6lj+xx2k+cwn792vR635Rx2R6zUhduwBJmZGYCvBfCL13us14F3A3guhPBCCKED4Jcw7IPrJoTwOyGEK1W4P4Gh7+DrzbWcz1cA+Lkw5BMAqjb0O7whhBAuhBAeHf3/FoCnsXtllFvJ69oHO/hCAM+HEF56HY49cfj89ZrwOewG3r8+f6W4beewO+Khbg+OAjizI76mEmQArlqCbB/8dQDLIYTdi4AMq2b8jpn9pQ3LAt1IvnO0PP3TV0nFXGu/XC/fiuFfVrtxI8//Ws7nZp0zzOwEgHcC+G+7bP5cM3vMzP6Tmb35Bn/0uD69WX3wflz9YeD1PP9J406dvwCfw27ZHObzF4DbeA47CLVfrwm7TUqQ7aMtX4+9/8r9/BDCeRvWsP1dMzsZQviT6/18AD8J4IcwPM8fwjCF8q16iF1+95r75VrO38y+H0APwIevcpjXfP67NWmXn+n5vC5jIdUQszKAXwXwD0IIm7L5UQyX87dHOqFfx9Bs+0Yxrk9f9z4wsyyALwfwfbtsfr3P/7bF569rbwN8DrvCTZ/D7vT5C7j957CJeagLt1EJsnFtMbMMgK8G8Nl7HOP86L+XzOyjGC6/X9OEcK19YWY/BeA/7rLpWvvlNX2+mX0zgC8D8IVhJETY5Riv+fx34VrO57rO+VowswTDCfHDIYRf0+07J8kQwsfN7CfMbD6EcEMKRV9Dn77ufQDgSwE8GkJY3qV9r+v53874/LW/Nuxoi89h+9vnNePz1yvc1nPYnZ5+vVUlyN4L4GQI4exuG82sZGaVK/+PoTD3iev8zCvH3qkx+KqrHPcvANxvZveM/ip5P4Z9cCM+/0sAfA+ALw8hNK6yz40+/2s5n48B+CYb8jkANq6krG4EIw3SvwPwdAjhR6+yz9JoP5jZuzG8P1dv0OdfS5++rn0w4qorPK/n+U8od9z8NTqmz2E3eQ7z+Yu4veewcAvf0rhZ/zC88c8CaANYBvDbO7Z9P4ZvFT0D4Et3/PxDGL1pBmAOwO8DODX67+x1tudnAHyb/OwIgI+P/v9eDN9uegzAkxgu+d+ovvh5AI8D+AyGN8Fh/fxR/D4M33B6/gZ//nMY6h4+Pfr3wZtx/rudD4Bvu3IdMFy6/zej7Y9jx1uGN+i8/xqGqYDP7Dj390kbvnN0vo9hKMD+vBv4+bv26U3ugyKGE9z0jp/dlPM/yP98/kp9vs9hN/n+9fnrlXbc9nOYlwlzHMdxHMeZAO709KvjOI7jOM5E4A91juM4juM4E4A/1DmO4ziO40wA/lDnOI7jOI4zAfhDneM4juM4zgTgD3WO4ziO4zgTgD/UOY7jOI7jTAD+UOc4juM4jjMB+EOdc0cwKjNz0sz+fFTD8MrPv9jMBmb2HbeyfY7jOHvhc5hzLXhFCeeOwczeiWHplh8LIXyvmR3CsOzNn4cQvvzWts5xHGdvfA5zxuEPdc4dhZn9PwD8CIYFob8bwFsBvD2EcPmWNsxxHOca8DnM2Qt/qHPuKMzMAPwmgL8FIAvgi0IIv39rW+U4jnNt+Bzm7IVr6pw7ijD8K+bnAeQAPOaToeM4Bwmfw5y98Ic6547CzJYA/EsAjwJ4u5l9161tkeM4zrXjc5izF/5Q59wxjNIWPwugA+CLMJwYf9jM3nYr2+U4jnMt+BzmjMM1dc4dg5n9IwD/HMDfCiH8sZllMXyTLAfgXSGE5i1toOM4zh74HOaMw1fqnDuCkRXAPwXwf4YQ/hgAQggdAF8P4ASAH711rXMcx9kbn8Oca8FX6hzHcRzHcSYAX6lzHMdxHMeZAPyhznEcx3EcZwLwhzrHcRzHcZwJwB/qHMdxHMdxJgB/qHMcx3Ecx5kA/KHOcRzHcRxnAvCHOsdxHMdxnAnAH+ocx3Ecx3EmgP8/YJfm+gis1xEAAAAASUVORK5CYII=\n", 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", 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" ] }, - "metadata": { - "needs_background": "light" - }, + "metadata": {}, "output_type": "display_data" } ], "source": [ "from numpy.fft import fft2, ifft2\n", "\n", + "\n", "# Define the reaction-diffusion PDE in the Fourier (kx, ky) space\n", "def reaction_diffusion(t, uvt, K22, d1, d2, beta, n, N):\n", " ut = np.reshape(uvt[:N], (n, n))\n", " vt = np.reshape(uvt[N : 2 * N], (n, n))\n", " u = np.real(ifft2(ut))\n", " v = np.real(ifft2(vt))\n", - " u3 = u ** 3\n", - " v3 = v ** 3\n", - " u2v = (u ** 2) * v\n", - " uv2 = u * (v ** 2)\n", + " u3 = u**3\n", + " v3 = v**3\n", + " u2v = (u**2) * v\n", + " uv2 = u * (v**2)\n", " utrhs = np.reshape((fft2(u - u3 - uv2 + beta * u2v + beta * v3)), (N, 1))\n", " vtrhs = np.reshape((fft2(v - u2v - v3 - beta * u3 - beta * uv2)), (N, 1))\n", " uvt_reshaped = np.reshape(uvt, (len(uvt), 1))\n", " uvt_updated = np.squeeze(\n", " np.vstack(\n", - " (-d1 * K22 * uvt_reshaped[:N] + utrhs, \n", - " -d2 * K22 * uvt_reshaped[N:] + vtrhs)\n", + " (-d1 * K22 * uvt_reshaped[:N] + utrhs, -d2 * K22 * uvt_reshaped[N:] + vtrhs)\n", " )\n", " )\n", " return uvt_updated\n", @@ -1067,13 +1261,12 @@ "y = x_uniform[:n]\n", "n2 = int(n / 2)\n", "# Define Fourier wavevectors (kx, ky)\n", - "kx = (2 * np.pi / L) * np.hstack((np.linspace(0, n2 - 1, n2), \n", - " np.linspace(-n2, -1, n2)))\n", + "kx = (2 * np.pi / L) * np.hstack((np.linspace(0, n2 - 1, n2), np.linspace(-n2, -1, n2)))\n", "ky = kx\n", "# Get 2D meshes in (x, y) and (kx, ky)\n", "X, Y = np.meshgrid(x, y)\n", "KX, KY = np.meshgrid(kx, ky)\n", - "K2 = KX ** 2 + KY ** 2\n", + "K2 = KX**2 + KY**2\n", "K22 = np.reshape(K2, (N, 1))\n", "\n", "m = 1 # number of spirals\n", @@ -1083,29 +1276,24 @@ "v = np.zeros((len(x), len(y), len(t)))\n", "\n", "# Initial conditions\n", - "u[:, :, 0] = np.tanh(np.sqrt(X ** 2 + Y ** 2)) * np.cos(\n", - " m * np.angle(X + 1j * Y) - (np.sqrt(X ** 2 + Y ** 2))\n", + "u[:, :, 0] = np.tanh(np.sqrt(X**2 + Y**2)) * np.cos(\n", + " m * np.angle(X + 1j * Y) - (np.sqrt(X**2 + Y**2))\n", ")\n", - "v[:, :, 0] = np.tanh(np.sqrt(X ** 2 + Y ** 2)) * np.sin(\n", - " m * np.angle(X + 1j * Y) - (np.sqrt(X ** 2 + Y ** 2))\n", + "v[:, :, 0] = np.tanh(np.sqrt(X**2 + Y**2)) * np.sin(\n", + " m * np.angle(X + 1j * Y) - (np.sqrt(X**2 + Y**2))\n", ")\n", "\n", "# uvt is the solution vector in Fourier space, so below\n", "# we are initializing the 2D FFT of the initial condition, uvt0\n", "uvt0 = np.squeeze(\n", " np.hstack(\n", - " (np.reshape(fft2(u[:, :, 0]), (1, N)), \n", - " np.reshape(fft2(v[:, :, 0]), (1, N)))\n", + " (np.reshape(fft2(u[:, :, 0]), (1, N)), np.reshape(fft2(v[:, :, 0]), (1, N)))\n", " )\n", ")\n", "\n", "# Solve the PDE in the Fourier space, where it reduces to system of ODEs\n", "uvsol = solve_ivp(\n", - " reaction_diffusion, \n", - " (t[0], t[-1]), \n", - " y0=uvt0, \n", - " t_eval=t, \n", - " args=(K22, d1, d2, beta, n, N)\n", + " reaction_diffusion, (t[0], t[-1]), y0=uvt0, t_eval=t, args=(K22, d1, d2, beta, n, N)\n", ")\n", "uvsol = uvsol.y\n", "\n", @@ -1120,16 +1308,16 @@ "plt.figure(figsize=(10, 4))\n", "plt.subplot(1, 2, 1)\n", "plt.pcolor(X, Y, u[:, :, 10])\n", - "plt.xlabel('x', fontsize=16)\n", - "plt.ylabel('y', fontsize=16)\n", - "plt.title('u(x, y, t=0.5)', fontsize=16)\n", + "plt.xlabel(\"x\", fontsize=16)\n", + "plt.ylabel(\"y\", fontsize=16)\n", + "plt.title(\"u(x, y, t=0.5)\", fontsize=16)\n", "plt.subplot(1, 2, 2)\n", "plt.pcolor(X, Y, v[:, :, 10])\n", - "plt.xlabel('x', fontsize=16)\n", - "plt.ylabel('y', fontsize=16)\n", + "plt.xlabel(\"x\", fontsize=16)\n", + "plt.ylabel(\"y\", fontsize=16)\n", "ax = plt.gca()\n", "ax.set_yticklabels([])\n", - "plt.title('v(x, y, t=0.5)', fontsize=16)\n", + "plt.title(\"v(x, y, t=0.5)\", fontsize=16)\n", "\n", "dt = t[1] - t[0]\n", "dx = x[1] - x[0]\n", @@ -1141,7 +1329,7 @@ }, { "cell_type": "code", - "execution_count": 19, + "execution_count": 25, "metadata": {}, "outputs": [], "source": [ @@ -1165,39 +1353,40 @@ "\n", "np.random.seed(100)\n", "# Need to define the 2D spatial grid before calling the library\n", - "X, Y, T = np.meshgrid(x, y, t, indexing='ij')\n", + "X, Y, T = np.meshgrid(x, y, t, indexing=\"ij\")\n", "XYT = np.transpose([X, Y, T], [1, 2, 3, 0])\n", "weak_lib = ps.WeakPDELibrary(\n", - " library_functions=library_functions,\n", - " function_names=library_function_names,\n", + "# library_functions=library_functions,\n", + "# function_names=library_function_names,\n", + " function_library=ps.PolynomialLibrary(degree=3,include_bias=False),\n", " derivative_order=2,\n", " spatiotemporal_grid=XYT,\n", " is_uniform=True,\n", " periodic=True,\n", " K=100,\n", - " include_interaction=False\n", + " include_interaction=False,\n", ")" ] }, { "cell_type": "code", - "execution_count": 20, + "execution_count": 33, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ - "(x0)' = 1.000 x0 + -1.000 x0x0x0 + 1.000 x1x1x1 + -1.000 x0x1x1 + 1.000 x0x0x1 + 0.100 x0_22 + 0.100 x0_11\n", - "(x1)' = 1.000 x1 + -1.000 x0x0x0 + -1.000 x1x1x1 + -1.000 x0x1x1 + -1.000 x0x0x1 + 0.100 x1_22 + 0.100 x1_11\n" + "(x0)' = 1.000 x0 + -1.000 x0^3 + 1.000 x0^2 x1 + -1.000 x0 x1^2 + 1.000 x1^3 + 0.100 x0_22 + 0.100 x0_11\n", + "(x1)' = 1.000 x1 + -1.000 x0^3 + -1.000 x0^2 x1 + -1.000 x0 x1^2 + -1.000 x1^3 + 0.100 x1_22 + 0.100 x1_11\n" ] } ], "source": [ "# Fit the 2D reaction-diffusion equation, weak form style!\n", - "optimizer = ps.STLSQ(threshold=0.05, alpha=1e-5, normalize_columns=True)\n", + "optimizer = ps.STLSQ(threshold=0.05, alpha=1e-8, normalize_columns=True)\n", "model = ps.SINDy(feature_library=weak_lib, optimizer=optimizer)\n", - "model.fit(u, quiet=True)\n", + "model.fit(u)\n", "model.print()" ] }, @@ -1210,29 +1399,31 @@ }, { "cell_type": "code", - "execution_count": 21, + "execution_count": 34, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ - "(x0)' = 0.867 x0 + 0.167 x1 + -0.864 x0x0x0 + 0.817 x1x1x1 + -0.868 x0x1x1 + 0.812 x0x0x1 + 0.089 x0_22 + 0.088 x0_11\n", - "(x1)' = -0.122 x0 + 0.860 x1 + -0.864 x0x0x0 + -0.857 x1x1x1 + -0.864 x0x1x1 + -0.859 x0x0x1 + 0.089 x1_22 + 0.087 x1_11\n" + "(x0)' = 0.881 x0 + 0.191 x1 + -0.880 x0^3 + 0.789 x0^2 x1 + -0.881 x0 x1^2 + 0.789 x1^3 + 0.090 x0_22 + 0.087 x0_11\n", + "(x1)' = -0.174 x0 + 0.888 x1 + -0.807 x0^3 + -0.892 x0^2 x1 + -0.811 x0 x1^2 + -0.891 x1^3 + 0.085 x1_22 + 0.087 x1_11\n" ] } ], "source": [ "# Need to increase the weak form mesh resolution a bit if data is noisy\n", + "np.random.seed(1)\n", "weak_lib = ps.WeakPDELibrary(\n", - " library_functions=library_functions,\n", - " function_names=library_function_names,\n", + "# library_functions=library_functions,\n", + "# function_names=library_function_names,\n", + " function_library=ps.PolynomialLibrary(degree=3,include_bias=False),\n", " derivative_order=2,\n", " spatiotemporal_grid=XYT,\n", " K=1000,\n", " is_uniform=True,\n", " periodic=True,\n", - " include_interaction=True\n", + " include_interaction=False,\n", ")\n", "\n", "# Initialize noisy data\n", @@ -1240,9 +1431,47 @@ "u_noisy = u + np.random.normal(0, rmse / 50.0, u.shape) # Add 2% noise\n", "\n", "# Fit the 2D reaction-diffusion equation with noise, weak form style!\n", - "optimizer = ps.STLSQ(threshold=0.1, alpha=1e-5, normalize_columns=True)\n", + "optimizer = ps.STLSQ(threshold=0.1, alpha=1e-8, normalize_columns=True)\n", "model = ps.SINDy(feature_library=weak_lib, optimizer=optimizer)\n", - "model.fit(u_noisy, quiet=True)\n", + "model.fit(u_noisy)\n", + "model.print()" + ] + }, + { + "cell_type": "code", + "execution_count": 35, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "(x0)' = 0.881 x0 + 0.191 x1 + -0.880 x0^3 + 0.789 x0^2 x1 + -0.881 x0 x1^2 + 0.789 x1^3 + 0.090 x0_22 + 0.087 x0_11\n", + "(x1)' = -0.174 x0 + 0.888 x1 + -0.807 x0^3 + -0.892 x0^2 x1 + -0.811 x0 x1^2 + -0.891 x1^3 + 0.085 x1_22 + 0.087 x1_11\n" + ] + } + ], + "source": [ + "# Need to increase the weak form mesh resolution a bit if data is noisy\n", + "np.random.seed(1)\n", + "weak_lib2 = ps.WeakPDELibrary(\n", + " function_library=ps.PolynomialLibrary(degree=3,include_bias=False),\n", + " derivative_order=2,\n", + " spatiotemporal_grid=XYT,\n", + " K=1000,\n", + " is_uniform=True,\n", + " periodic=True,\n", + " include_interaction=False,\n", + ")\n", + "\n", + "# Initialize noisy data\n", + "rmse = mean_squared_error(u.flatten(), np.zeros(u.size), squared=False)\n", + "u_noisy = u + np.random.normal(0, rmse / 50.0, u.shape) # Add 2% noise\n", + "\n", + "# Fit the 2D reaction-diffusion equation with noise, weak form style!\n", + "optimizer = ps.STLSQ(threshold=0.1, alpha=1e-8, normalize_columns=True)\n", + "model = ps.SINDy(feature_library=weak_lib2, optimizer=optimizer)\n", + "model.fit(u_noisy)\n", "model.print()" ] }, @@ -1268,39 +1497,37 @@ }, { "cell_type": "code", - "execution_count": 22, + "execution_count": 36, "metadata": {}, "outputs": [ { "data": { - "image/png": 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\n", 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" ] }, - "metadata": { - "needs_background": "light" - }, + "metadata": {}, "output_type": "display_data" } ], "source": [ "from numpy.fft import fftn, ifftn\n", "\n", + "\n", "# Define the reaction-diffusion PDE in the Fourier (kx, ky, kz) space\n", "def reaction_diffusion(t, uvt, K22, d1, d2, n, N):\n", " ut = np.reshape(uvt[:N], (n, n, n))\n", " vt = np.reshape(uvt[N : 2 * N], (n, n, n))\n", " u = np.real(ifftn(ut, axes=[0, 1, 2]))\n", " v = np.real(ifftn(vt, axes=[0, 1, 2]))\n", - " uv2 = u * (v ** 2)\n", + " uv2 = u * (v**2)\n", " utrhs = np.reshape((fftn(0.014 * (1 - u) - uv2, axes=[0, 1, 2])), (N, 1))\n", " vtrhs = np.reshape((fftn(uv2 - 0.067 * v, axes=[0, 1, 2])), (N, 1))\n", " uvt_reshaped = np.reshape(uvt, (len(uvt), 1))\n", " uvt_updated = np.squeeze(\n", " np.vstack(\n", - " (-d1 * K22 * uvt_reshaped[:N] + utrhs, \n", - " -d2 * K22 * uvt_reshaped[N:] + vtrhs)\n", + " (-d1 * K22 * uvt_reshaped[:N] + utrhs, -d2 * K22 * uvt_reshaped[N:] + vtrhs)\n", " )\n", " )\n", " return uvt_updated\n", @@ -1320,14 +1547,13 @@ "z = x_uniform[:n]\n", "n2 = int(n / 2)\n", "# Define Fourier wavevectors (kx, ky, kz)\n", - "kx = (2 * np.pi / L) * np.hstack((np.linspace(0, n2 - 1, n2), \n", - " np.linspace(-n2, -1, n2)))\n", + "kx = (2 * np.pi / L) * np.hstack((np.linspace(0, n2 - 1, n2), np.linspace(-n2, -1, n2)))\n", "ky = kx\n", "kz = kx\n", "# Get 3D meshes in (x, y, z) and (kx, ky, kz)\n", "X, Y, Z = np.meshgrid(x, y, z, indexing=\"ij\")\n", "KX, KY, KZ = np.meshgrid(kx, ky, kz, indexing=\"ij\")\n", - "K2 = KX ** 2 + KY ** 2 + KZ ** 2\n", + "K2 = KX**2 + KY**2 + KZ**2\n", "K22 = np.reshape(K2, (N, 1))\n", "\n", "m = 3 # number of spirals\n", @@ -1337,11 +1563,11 @@ "v = np.zeros((n, n, n, len(t)))\n", "\n", "# Initial conditions\n", - "u[:, :, :, 0] = np.tanh(np.sqrt(X ** 2 + Y ** 2 + Z ** 2)) * np.cos(\n", - " m * np.angle(X + 1j * Y) - (np.sqrt(X ** 2 + Y ** 2 + Z ** 2))\n", + "u[:, :, :, 0] = np.tanh(np.sqrt(X**2 + Y**2 + Z**2)) * np.cos(\n", + " m * np.angle(X + 1j * Y) - (np.sqrt(X**2 + Y**2 + Z**2))\n", ")\n", - "v[:, :, :, 0] = np.tanh(np.sqrt(X ** 2 + Y ** 2 + Z ** 2)) * np.sin(\n", - " m * np.angle(X + 1j * Y) - (np.sqrt(X ** 2 + Y ** 2 + Z ** 2))\n", + "v[:, :, :, 0] = np.tanh(np.sqrt(X**2 + Y**2 + Z**2)) * np.sin(\n", + " m * np.angle(X + 1j * Y) - (np.sqrt(X**2 + Y**2 + Z**2))\n", ")\n", "\n", "# uvt is the solution vector in Fourier space, so below\n", @@ -1357,11 +1583,7 @@ "\n", "# Solve the PDE in the Fourier space, where it reduces to system of ODEs\n", "uvsol = solve_ivp(\n", - " reaction_diffusion, \n", - " (t[0], t[-1]), \n", - " y0=uvt0, \n", - " t_eval=t, \n", - " args=(K22, d1, d2, n, N)\n", + " reaction_diffusion, (t[0], t[-1]), y0=uvt0, t_eval=t, args=(K22, d1, d2, n, N)\n", ")\n", "uvsol = uvsol.y\n", "\n", @@ -1376,16 +1598,16 @@ "plt.figure(figsize=(10, 4))\n", "plt.subplot(1, 2, 1)\n", "plt.pcolor(X[:, :, 0], Y[:, :, 0], u[:, :, 0, 0])\n", - "plt.xlabel('x', fontsize=16)\n", - "plt.ylabel('y', fontsize=16)\n", - "plt.title('u(x, y, z=0, t=0)', fontsize=16)\n", + "plt.xlabel(\"x\", fontsize=16)\n", + "plt.ylabel(\"y\", fontsize=16)\n", + "plt.title(\"u(x, y, z=0, t=0)\", fontsize=16)\n", "plt.subplot(1, 2, 2)\n", "plt.pcolor(X[:, :, 0], Y[:, :, 0], v[:, :, 0, 0])\n", - "plt.xlabel('x', fontsize=16)\n", - "plt.ylabel('y', fontsize=16)\n", + "plt.xlabel(\"x\", fontsize=16)\n", + "plt.ylabel(\"y\", fontsize=16)\n", "ax = plt.gca()\n", "ax.set_yticklabels([])\n", - "plt.title('v(x, y, z=0, t=0)', fontsize=16)\n", + "plt.title(\"v(x, y, z=0, t=0)\", fontsize=16)\n", "\n", "dt = t[1] - t[0]\n", "dx = x[1] - x[0]\n", @@ -1398,7 +1620,7 @@ }, { "cell_type": "code", - "execution_count": 23, + "execution_count": 37, "metadata": {}, "outputs": [], "source": [ @@ -1427,8 +1649,9 @@ "spatiotemporal_grid = np.asarray([X, Y, Z, T])\n", "spatiotemporal_grid = np.transpose(spatiotemporal_grid, axes=[1, 2, 3, 4, 0])\n", "pde_lib = ps.WeakPDELibrary(\n", - " library_functions=library_functions,\n", - " function_names=library_function_names,\n", + "# library_functions=library_functions,\n", + "# function_names=library_function_names,\n", + " function_library=ps.PolynomialLibrary(degree=3,include_bias=False),\n", " derivative_order=2,\n", " spatiotemporal_grid=spatiotemporal_grid,\n", " is_uniform=True,\n", @@ -1441,7 +1664,7 @@ }, { "cell_type": "code", - "execution_count": 24, + "execution_count": 38, "metadata": { "scrolled": false }, @@ -1450,8 +1673,8 @@ "name": "stdout", "output_type": "stream", "text": [ - "(x0)' = 0.014 1 + -0.018 x0 + -0.992 x0x1x1 + 0.016 x0_33 + 0.016 x0_22 + 0.017 x0_11\n", - "(x1)' = -0.071 x1 + 0.994 x0x1x1 + 0.008 x1_33 + 0.008 x1_22 + 0.008 x1_11\n" + "(x0)' = 0.015 1 + -0.024 x0 + -0.969 x0 x1^2 + 0.014 x0_33 + 0.016 x0_22 + 0.016 x0_11\n", + "(x1)' = -0.071 x1 + 0.992 x0 x1^2 + 0.009 x1_33 + 0.008 x1_22 + 0.008 x1_11\n" ] } ], @@ -1459,7 +1682,7 @@ "# Fit the 3D reaction-diffusion equation\n", "optimizer = ps.SR3(threshold=1e-5, normalize_columns=True, max_iter=50)\n", "model = ps.SINDy(feature_library=pde_lib, optimizer=optimizer)\n", - "model.fit(u, quiet=True)\n", + "model.fit(u)\n", "model.print()" ] }, @@ -1490,7 +1713,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.9.12" + "version": "3.11.5" }, "toc": { "base_numbering": 1, diff --git a/examples/13_ensembling.ipynb b/examples/13_ensembling.ipynb index 3dba4e71c..3eb146ae0 100644 --- a/examples/13_ensembling.ipynb +++ b/examples/13_ensembling.ipynb @@ -6,12 +6,12 @@ "source": [ "# Ensembling Feature Overview\n", "Ensembling is a fancy name for sub-sampling the data and generating $n_\\text{models}$ from regressing onto each of these sub-samples. In practice this helps to robustify the regressions against outliers and other issues. We highly recommend checking out the following paper for understanding the usefulness of these methods against noisy data: \n", - "#### Fasel, Urban, et al. \"Ensemble-SINDy: Robust sparse model discovery in the low-data, high-noise limit, with active learning and control.\" arXiv preprint arXiv:2111.10992 (2021). https://arxiv.org/abs/2111.10992\n", + "#### Fasel, U., Kutz, J. N., Brunton, B. W., & Brunton, S. L. (2022). Ensemble-SINDy: Robust sparse model discovery in the low-data, high-noise limit, with active learning and control. Proceedings of the Royal Society A, 478(2260), 20210904. https://arxiv.org/abs/2111.10992\n", "\n", "This notebook provides an overview of the basic and advanced functionality of using ensemble methods in PySINDy. Ensembling robustifies the SINDy method. Written by Alan Kaptanoglu and Urban Fasel. \n", "\n", "An interactive version of this notebook is available on binder\n", - "[![Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/dynamicslab/pysindy/v1.7?filepath=examples/13_ensembling.ipynb)\n", + "[![Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/dynamicslab/pysindy/v1.7.3?filepath=examples/13_ensembling.ipynb)\n", "\n", "There are many variants of ensembling/subsampling strategies and post-processing methods. We will show the following useful variants below:

\n", "Ensembling:
\n", @@ -42,7 +42,16 @@ "start_time": "2020-10-22T22:20:40.308783Z" } }, - "outputs": [], + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/var/folders/37/5qnc4jls0l90nkqjm2xxg1bm0000gp/T/ipykernel_80870/1554735471.py:10: DeprecationWarning: Please use `ODEintWarning` from the `scipy.integrate` namespace, the `scipy.integrate.odepack` namespace is deprecated.\n", + " from scipy.integrate.odepack import ODEintWarning\n" + ] + } + ], "source": [ "import matplotlib.pyplot as plt\n", "from mpl_toolkits.mplot3d import Axes3D\n", @@ -86,12 +95,14 @@ "metadata": {}, "outputs": [ { - "name": "stdout", - "output_type": "stream", - "text": [ - "(x)' = 0.018 1 + -10.024 x + 10.013 y\n", - "(y)' = 27.808 x + -0.930 y + -0.996 x z\n", - "(z)' = 0.169 1 + -2.669 z + 0.998 x y\n" + "ename": "TypeError", + "evalue": "SINDy.fit() got an unexpected keyword argument 'ensemble'", + "output_type": "error", + "traceback": [ + "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", + "\u001b[0;31mTypeError\u001b[0m Traceback (most recent call last)", + "Cell \u001b[0;32mIn[2], line 25\u001b[0m\n\u001b[1;32m 23\u001b[0m model \u001b[38;5;241m=\u001b[39m ps\u001b[38;5;241m.\u001b[39mSINDy(feature_names\u001b[38;5;241m=\u001b[39mfeature_names, optimizer\u001b[38;5;241m=\u001b[39mensemble_optimizer)\n\u001b[1;32m 24\u001b[0m \u001b[38;5;66;03m# Ensemble with replacement (V1)\u001b[39;00m\n\u001b[0;32m---> 25\u001b[0m model\u001b[38;5;241m.\u001b[39mfit(x_train, t\u001b[38;5;241m=\u001b[39mdt, ensemble\u001b[38;5;241m=\u001b[39m\u001b[38;5;28;01mTrue\u001b[39;00m, quiet\u001b[38;5;241m=\u001b[39m\u001b[38;5;28;01mTrue\u001b[39;00m)\n\u001b[1;32m 26\u001b[0m model\u001b[38;5;241m.\u001b[39mprint()\n\u001b[1;32m 27\u001b[0m ensemble_coefs \u001b[38;5;241m=\u001b[39m model\u001b[38;5;241m.\u001b[39mcoef_list\n", + "\u001b[0;31mTypeError\u001b[0m: SINDy.fit() got an unexpected keyword argument 'ensemble'" ] } ], @@ -1079,7 +1090,7 @@ "hash": "3ee6f1cb9fc3b265a5f24cdb7fa225f31e54d7494aa3be0e32b8f891af359708" }, "kernelspec": { - "display_name": "Python 3", + "display_name": "Python 3 (ipykernel)", "language": "python", "name": "python3" }, @@ -1093,7 +1104,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.7.4" + "version": "3.11.5" }, "toc": { "base_numbering": 1, diff --git a/examples/14_cavity_flow.ipynb b/examples/14_cavity_flow.ipynb index 94eb9a23c..dc2942262 100644 --- a/examples/14_cavity_flow.ipynb +++ b/examples/14_cavity_flow.ipynb @@ -25,7 +25,7 @@ "This Jupyter notebook example is written by Jared Callaham and demonstrates the use of SINDy to learn a model for the quasiperiodic dynamics in a shear-driven cavity at Re=7500, following [Callaham, Brunton, and Loiseau (2021)](https://arxiv.org/abs/2106.02409). It will focus on working through a relatively involved fluid dynamics example, rather than comparing optimizers, libraries, etc. This example also includes some other more advanced SINDy \"tricks\" like using dynamic mode decomposition to rotate the generalized coordinates and co-opting some of the SINDy infrastructure to perform nonlinear dimensionality reduction.\n", "\n", "An interactive version of this notebook is available on binder\n", - "[![Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/dynamicslab/pysindy/v1.7?filepath=examples/14_cavity_flow.ipynb)\n", + "[![Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/dynamicslab/pysindy/v1.7.3?filepath=examples/14_cavity_flow.ipynb)\n", "\n", "As in the cylinder wake example (see notebook 3), the reduced-order model appproximates the 2D time-varying velocity field $\\mathbf{u}(\\mathbf{x}, t)$ with the POD expansion\n", "$$\n", diff --git a/examples/15_pysindy_lectures.ipynb b/examples/15_pysindy_lectures.ipynb index f5dfba658..e9d8d73cb 100644 --- a/examples/15_pysindy_lectures.ipynb +++ b/examples/15_pysindy_lectures.ipynb @@ -8,7 +8,7 @@ "\n", "This notebook is a summary of the PySINDy YouTube lectures found [here](https://www.youtube.com/playlist?list=PLN90bHJU-JLoOfEk0KyBs2qLTV7OkMZ25). \n", "An interactive version of this notebook is available on binder\n", - "[![Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/dynamicslab/pysindy/v1.7?filepath=examples/15_pysindy_lectures.ipynb)\n", + "[![Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/dynamicslab/pysindy/v1.7.3?filepath=examples/15_pysindy_lectures.ipynb)\n", "\n", "These examples show how to use the SINDy method in practice, addressing the following practical questions:\n", "1. How does one choose the thresholding parameter $\\lambda$?\n", @@ -2229,7 +2229,7 @@ ], "metadata": { "kernelspec": { - "display_name": "Python 3 (ipykernel)", + "display_name": "Python 3", "language": "python", "name": "python3" }, @@ -2243,7 +2243,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.9.12" + "version": "3.7.4" }, "toc": { "base_numbering": 1, diff --git a/examples/16_noise_robustness/16_benchmark_paper.ipynb b/examples/16_noise_robustness/16_benchmark_paper.ipynb index d91a14193..64b980e6f 100644 --- a/examples/16_noise_robustness/16_benchmark_paper.ipynb +++ b/examples/16_noise_robustness/16_benchmark_paper.ipynb @@ -13,7 +13,10 @@ "\n", "In addition, we investigate how Pareto-optimal models generated from sparse system identification methods depend on the dynamical properties of the equations, finding to leading order that the performance of these methods is independent of the dynamical properties of these equations, including the amount of chaos, scale separation, degree of nonlinearity, and, surprisingly, the syntactic complexity.\n", " \n", - "We will use the dysts database, containingn over 100 chaotic systems. We will investigate a subset of the systems that are polynomially nonlinear, with highest polynomial degree <= 4. All of the following 70 systems are bounded and exhibit strange attractors." + "We will use the dysts database, containingn over 100 chaotic systems. We will investigate a subset of the systems that are polynomially nonlinear, with highest polynomial degree <= 4. All of the following 70 systems are bounded and exhibit strange attractors.\n", + "\n", + "An interactive version of this notebook is available on binder\n", + "[![Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/dynamicslab/pysindy/v1.7.3?filepath=examples/16_noise_robustness/16_benchmark_paper.ipynb)" ] }, { diff --git a/examples/16_noise_robustness/optimizer_comparison.ipynb b/examples/16_noise_robustness/optimizer_comparison.ipynb index e7acb2fbd..b2f94383b 100644 --- a/examples/16_noise_robustness/optimizer_comparison.ipynb +++ b/examples/16_noise_robustness/optimizer_comparison.ipynb @@ -7,7 +7,10 @@ "## Full optimizer comparison\n", "Notebook written by Lanyue Zhang and Alan Kaptanoglu\n", "\n", - "This post-processing file takes the results from Pareto-optimal scans of the dysts database with different optimizers and varying amounts of noise, as in the example Jupyter notebook 16_benchmark_paper.ipynb. The primary goal of this notebook is to fully reproduce the results shown in our new system identification benchmark paper." + "This post-processing file takes the results from Pareto-optimal scans of the dysts database with different optimizers and varying amounts of noise, as in the example Jupyter notebook 16_benchmark_paper.ipynb. The primary goal of this notebook is to fully reproduce the results shown in our new system identification benchmark paper.\n", + "\n", + "An interactive version of this notebook is available on binder\n", + "[![Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/dynamicslab/pysindy/v1.7.3?filepath=examples/16_noise_robustness/optimizer_comparison.ipynb)" ] }, { diff --git a/examples/16_noise_robustness/utils.py b/examples/16_noise_robustness/utils.py index f81a89fbd..8b51b52c5 100644 --- a/examples/16_noise_robustness/utils.py +++ b/examples/16_noise_robustness/utils.py @@ -169,7 +169,6 @@ def make_test_trajectories( all_t_test = dict() for i, equation_name in enumerate(systems_list): - dimension = all_properties[equation_name]["embedding_dimension"] all_sols_test[equation_name] = np.zeros((n, n_trajectories, dimension)) all_t_test[equation_name] = np.zeros((n, n_trajectories)) diff --git a/examples/17_parameterized_pattern_formation/.gitignore b/examples/17_parameterized_pattern_formation/.gitignore new file mode 100644 index 000000000..cc29968d9 --- /dev/null +++ b/examples/17_parameterized_pattern_formation/.gitignore @@ -0,0 +1,2 @@ +*.pdf +data diff --git a/examples/17_parameterized_pattern_formation/data/auto/c.cycle_even b/examples/17_parameterized_pattern_formation/data/auto/c.cycle_even index f97b71587..1f2a343b6 100644 --- a/examples/17_parameterized_pattern_formation/data/auto/c.cycle_even +++ b/examples/17_parameterized_pattern_formation/data/auto/c.cycle_even @@ -7,7 +7,7 @@ NMX= 1000, NPR= 1, MXBF= 0, IID = 2, ITMX= 10, ITNW= 7, NWTN= 3, JAC= 0 EPSL= 1e-05, EPSU = 1e-05, EPSS = 1e-05 DS = 0.001, DSMIN=1e-10, DSMAX= 1e-2, IADS= 1 NPAR = 15, THL = {}, THU = {2:0,3:0,4:0} -UZR = {1: [-1,0.1,2.5,5,7.5,10.0]} +UZR = {1: [-1,-0.5,0.15,2.5,5,7.5,10.0]} RL0=-5.0 RL1=10.1 A1=0.8 diff --git a/examples/17_parameterized_pattern_formation/data/auto/c.cycle_odd b/examples/17_parameterized_pattern_formation/data/auto/c.cycle_odd index 60ac23fba..5ed1c92ce 100644 --- a/examples/17_parameterized_pattern_formation/data/auto/c.cycle_odd +++ b/examples/17_parameterized_pattern_formation/data/auto/c.cycle_odd @@ -7,9 +7,9 @@ NMX= 1000, NPR= 1, MXBF= 0, IID = 2, ITMX= 10, ITNW= 7, NWTN= 3, JAC= 0 EPSL= 1e-05, EPSU = 1e-05, EPSS = 1e-05 DS = 0.001, DSMIN=1e-10, DSMAX= 1e-2, IADS= 1 NPAR = 15, THL = {}, THU = {2:0,3:0,4:0} -UZR = {1: [-1,0.1,2.5,5,7.5,10.0]} +UZR = {1: [-1,-0.5,0.15,2.5,5,7.5,10.0]} RL0=-5.0 -RL1=1.0 +RL1=3.0 A1=0.8 IEQUIB = 0 IREV = [1,0,1,0] diff --git a/examples/17_parameterized_pattern_formation/data/auto/c.periodic_E b/examples/17_parameterized_pattern_formation/data/auto/c.periodic_E index ed2165c47..e12ce2778 100644 --- a/examples/17_parameterized_pattern_formation/data/auto/c.periodic_E +++ b/examples/17_parameterized_pattern_formation/data/auto/c.periodic_E @@ -3,7 +3,7 @@ NDIM= 4, IPS = 4, IRS = 0, ILP = 1 ICP = [1,11,2,3,4] PAR={1:-1,11:6.283185307179586} NTST= 35, NCOL= 4, IAD = 1, ISP = 1, ISW = 1, IPLT= 0, NBC= 4, NINT= 0 -NMX= 1000, NPR= 1, MXBF= 0, IID = 2, ITMX= 10, ITNW= 7, NWTN= 3, JAC= 0 +NMX= 10000, NPR= 1, MXBF= 0, IID = 2, ITMX= 10, ITNW= 7, NWTN= 3, JAC= 0 EPSL= 1e-07, EPSU = 1e-07, EPSS = 1e-05 DS = 1e-6, DSMIN=1e-20, DSMAX= 1e-2, IADS= 1 NPAR = 4, THL = {}, THU = {2:0,3:0,4:0} diff --git a/examples/17_parameterized_pattern_formation/data/auto/c.steady_E b/examples/17_parameterized_pattern_formation/data/auto/c.steady_E index 731b2f180..a0a95fcdb 100644 --- a/examples/17_parameterized_pattern_formation/data/auto/c.steady_E +++ b/examples/17_parameterized_pattern_formation/data/auto/c.steady_E @@ -1,7 +1,7 @@ NDIM= 4, IPS = 1, IRS = 0, ILP = 1 ICP = [1,11,2,3,4] NTST= 35, NCOL= 4, IAD = 1, ISP = 2, ISW = 1, IPLT= 0, NBC= 0, NINT= 0 -NMX= 1000, NPR= 20, MXBF= 0, IID = 2, ITMX= 10, ITNW= 7, NWTN= 3, JAC= 1 +NMX= 1000, NPR= 20, MXBF= 0, IID = 2, ITMX= 10, ITNW= 7, NWTN= 3, JAC= 0 EPSL= 1e-07, EPSU = 1e-07, EPSS = 1e-05 DS = 0.01, DSMIN=0.0001, DSMAX= 0.05, IADS= 1 NPAR = 15, THL = {}, THU = {2:0,3:0,4:0} diff --git a/examples/17_parameterized_pattern_formation/data/auto/even.auto b/examples/17_parameterized_pattern_formation/data/auto/even.auto index d4973607d..cc8ba1773 100644 --- a/examples/17_parameterized_pattern_formation/data/auto/even.auto +++ b/examples/17_parameterized_pattern_formation/data/auto/even.auto @@ -1,21 +1,15 @@ import numpy as np import os -even=run('snaking_E',c='cycle_even') -sols=[] -pars=[] -for i in range(len(even[0])): - u=even(i+1)['U(1)'] - t=even(i+1)['t'] - e=even(i+1)['PAR(1)'] - r=even(i+1)['PAR(2)'] - b=even(i+1)['PAR(3)'] - c=even(i+1)['PAR(4)'] - T=even(i+1)['PAR(11)'] - norm=even(i+1)['L2-NORM'] - sols=sols+[np.vstack([t,u]).T] - pars=pars+[[e,r,b,c,T,norm]] +for j in [2,3,4,5]: + even=run('snaking_E'+str(j),c='cycle_even') + sols=[] + pars=[] + for i in range(len(even[0])): + print(i, len(even[0]), end='\r') + sols=sols+[np.concatenate([even(i+1).indepvararray.reshape(1,-1),even(i+1).coordarray[:1]]).T] + pars=pars+[np.concatenate([np.array(even(i+1).PAR.values())[[0,1,2,3,4,5,6,7,8,10]],[(np.sum(np.diff(even(i+1).indepvararray)[:,np.newaxis].T*np.abs(even(i+1).coordarray[0,:-1])**2))**0.5]])] -np.save('even_sols.npy',sols) -np.save('even_pars.npy',pars) -cl() + np.save('even'+str(j)+'_sols.npy',sols) + np.save('even'+str(j)+'_pars.npy',pars) + cl() diff --git a/examples/17_parameterized_pattern_formation/data/auto/even/stable_0.npy b/examples/17_parameterized_pattern_formation/data/auto/even/stable_0.npy index dccfb3806..ffe3c4589 100644 Binary files a/examples/17_parameterized_pattern_formation/data/auto/even/stable_0.npy and b/examples/17_parameterized_pattern_formation/data/auto/even/stable_0.npy differ diff --git a/examples/17_parameterized_pattern_formation/data/auto/even/stable_1.npy b/examples/17_parameterized_pattern_formation/data/auto/even/stable_1.npy index 7613425c3..8b4c8be19 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t=odd(i+1)['t'] - e=odd(i+1)['PAR(1)'] - r=odd(i+1)['PAR(2)'] - b=odd(i+1)['PAR(3)'] - c=odd(i+1)['PAR(4)'] - T=odd(i+1)['PAR(11)'] - norm=odd(i+1)['L2-NORM'] - sols=sols+[np.vstack([t,u]).T] - pars=pars+[[e,r,b,c,T,norm]] +for j in [2,3,4,5]: + odd=run('snaking_E'+str(j),c='cycle_odd') + sols=[] + pars=[] + for i in range(len(odd[0])): + print(i, len(odd[0]), end='\r') + sols=sols+[np.concatenate([odd(i+1).indepvararray.reshape(1,-1),odd(i+1).coordarray[:1]]).T] + pars=pars+[np.concatenate([np.array(odd(i+1).PAR.values())[[0,1,2,3,4,5,6,7,8,10]],[(np.sum(np.diff(odd(i+1).indepvararray)[:,np.newaxis].T*np.abs(odd(i+1).coordarray[0,:-1])**2))**0.5]])] -np.save('odd_sols.npy',sols) -np.save('odd_pars.npy',pars) -cl() + np.save('odd'+str(j)+'_sols.npy',sols) + np.save('odd'+str(j)+'_pars.npy',pars) + cl() diff --git a/examples/17_parameterized_pattern_formation/data/auto/odd/stable_0.npy b/examples/17_parameterized_pattern_formation/data/auto/odd/stable_0.npy index 33d752285..918e69458 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b833d0235..1cd447ce5 100644 --- a/examples/17_parameterized_pattern_formation/data/auto/periodic.auto +++ b/examples/17_parameterized_pattern_formation/data/auto/periodic.auto @@ -1,21 +1,16 @@ import numpy as np import os -periodic=run('snaking_E_T',c='periodic_E') -sols=[] -pars=[] -for i in range(len(periodic[0])): - u=periodic(i+1)['U(1)'] - t=periodic(i+1)['t'] - e=periodic(i+1)['PAR(1)'] - r=periodic(i+1)['PAR(2)'] - b=periodic(i+1)['PAR(3)'] - c=periodic(i+1)['PAR(4)'] - T=periodic(i+1)['PAR(11)'] - norm=periodic(i+1)['L2-NORM'] - sols=sols+[np.vstack([t,u]).T] - pars=pars+[[e,r,b,c,T,norm]] +for j in [2,3,4,5]: + periodic=run('snaking_E'+str(j)+'_T',c='periodic_E5') + sols=[] + pars=[] + for i in range(len(periodic[0])): + print(i, len(periodic[0]), end='\r') + sols=sols+[np.concatenate([periodic(i+1).indepvararray.reshape(1,-1),periodic(i+1).coordarray[:1]]).T] + pars=pars+[np.concatenate([np.array(periodic(i+1).PAR.values())[[0,1,2,3,4,5,6,7,8,10]],[(np.sum(np.diff(periodic(i+1).indepvararray)[:,np.newaxis].T*np.abs(periodic(i+1).coordarray[0,:-1])**2))**0.5]])] -np.save('periodic_sols.npy',sols) -np.save('periodic_pars.npy',pars) -cl() + + np.save('periodic'+str(j)+'_sols.npy',sols) + np.save('periodic'+str(j)+'_pars.npy',pars) + cl() diff --git a/examples/17_parameterized_pattern_formation/data/auto/periodic/stable_0.npy b/examples/17_parameterized_pattern_formation/data/auto/periodic/stable_0.npy index fe1a21651..dece6596f 100644 Binary files a/examples/17_parameterized_pattern_formation/data/auto/periodic/stable_0.npy and b/examples/17_parameterized_pattern_formation/data/auto/periodic/stable_0.npy differ diff --git a/examples/17_parameterized_pattern_formation/data/auto/periodic/unstable_0.npy b/examples/17_parameterized_pattern_formation/data/auto/periodic/unstable_0.npy index 6cc3b5d06..bb57093f8 100644 Binary files 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--git a/examples/17_parameterized_pattern_formation/data/auto/periodic_sols.npy b/examples/17_parameterized_pattern_formation/data/auto/periodic_sols.npy deleted file mode 100644 index e1c524da2..000000000 Binary files a/examples/17_parameterized_pattern_formation/data/auto/periodic_sols.npy and /dev/null differ diff --git a/examples/17_parameterized_pattern_formation/data/auto/snaking_E.f90 b/examples/17_parameterized_pattern_formation/data/auto/snaking_E.f90 index f289a4355..1ced6be9d 100644 --- a/examples/17_parameterized_pattern_formation/data/auto/snaking_E.f90 +++ b/examples/17_parameterized_pattern_formation/data/auto/snaking_E.f90 @@ -15,58 +15,32 @@ SUBROUTINE FUNC(NDIM,U,ICP,PAR,IJAC,F,DFDU,DFDP) DOUBLE PRECISION, INTENT(INOUT) :: DFDU(NDIM,NDIM), DFDP(NDIM,*) DOUBLE PRECISION E - DOUBLE PRECISION P - DOUBLE PRECISION R - DOUBLE PRECISION B - DOUBLE PRECISION C - DOUBLE PRECISION DRDE - DOUBLE PRECISION DBDE - DOUBLE PRECISION DCDE + DOUBLE PRECISION D1 + DOUBLE PRECISION D2 + DOUBLE PRECISION D3 + DOUBLE PRECISION U1 + DOUBLE PRECISION U2 + DOUBLE PRECISION U3 + DOUBLE PRECISION U4 + DOUBLE PRECISION U5 E=PAR(1) - P=2 - R=-6.9142484373744839e-01-7.3260087859986806e-02*E-2.7462906764622484e-03*E*E - B=1.7910887544563148e+00-3.0554994266613233e-01*E-2.4878961651300643e-02*E*E - C=7.5841639153560658e-01+5.5761858956235276e-02*E+5.1480291789433611e-03*E*E - DRDE=-7.3260087859986806e-02-2.7462906764622484e-03*E*2 - DBDE=-3.0554994266613233e-01-2.4878961651300643e-02*E*2 - DCDE=5.5761858956235276e-02+5.1480291789433611e-03*E*2 + D1=(0.000+0.000*E+0.000*E*E)/(1.000+0.000*E+0.000*E*E) + D2=(-2.000+0.000*E+0.000*E*E)/(1.000+0.000*E+0.000*E*E) + D3=(0.000+0.000*E+0.000*E*E)/(1.000+0.000*E+0.000*E*E) + U1=(-1.691-0.073*E-0.002*E*E)/(1.000+0.000*E+0.000*E*E) + U2=(0.000+0.000*E+0.000*E*E)/(1.000+0.000*E+0.000*E*E) + U3=(1.791-0.306*E-0.025*E*E)/(1.000+0.000*E+0.000*E*E) + U4=(0.000+0.000*E+0.000*E*E)/(1.000+0.000*E+0.000*E*E) + U5=-(0.758+0.056*E+0.005*E*E)/(1.000+0.000*E+0.000*E*E) F(1)= U(2) F(2)= U(3) F(3)= U(4) - F(4)= R*U(1)-P*U(3)-U(1)+B*U(1)**3-C*U(1)**5 + F(4)= U1*U(1)+U2*U(1)**2+U3*U(1)**3+U4*U(1)**4+U5*U(1)**5+D1*U(2)+D2*U(3)+D3*U(3) IF(IJAC.EQ.0)RETURN - DFDU(1,1)=0.0d0 - DFDU(1,2)=1.0d0 - DFDU(1,3)=0.0d0 - DFDU(1,4)=0.0d0 - - DFDU(2,1)=0.0d0 - DFDU(2,2)=0.0d0 - DFDU(2,3)=1.0d0 - DFDU(2,4)=0.0d0 - - DFDU(3,1)=0.0d0 - DFDU(3,2)=0.0d0 - DFDU(3,3)=0.0d0 - DFDU(3,4)=1.0d0 - - DFDU(4,1)=R-1.0d0+3.0d0*B*U(1)**2-5.0d0*C*U(1)**4 - DFDU(4,2)=0.0d0 - DFDU(4,3)=-P - DFDU(4,4)=0.0d0 - - IF(IJAC.EQ.1)RETURN - -! *Parameter derivatives - DFDP(1,1)=0.0d0 - DFDP(2,1)=0.0d0 - DFDP(3,1)=0.0d0 - DFDP(4,1)=U(1)*DRDE+U(1)**3*DBDE-U(1)**5*DCDE - END SUBROUTINE FUNC SUBROUTINE STPNT(NDIM,U,PAR,T) @@ -110,20 +84,32 @@ SUBROUTINE PVLS(NDIM,U,PAR) INTEGER I DOUBLE PRECISION E - DOUBLE PRECISION P - DOUBLE PRECISION R - DOUBLE PRECISION B - DOUBLE PRECISION C + DOUBLE PRECISION D1 + DOUBLE PRECISION D2 + DOUBLE PRECISION D3 + DOUBLE PRECISION U1 + DOUBLE PRECISION U2 + DOUBLE PRECISION U3 + DOUBLE PRECISION U4 + DOUBLE PRECISION U5 E=PAR(1) - P=2 - R=-6.9142484373744839e-01-7.3260087859986806e-02*E-2.7462906764622484e-03*E*E - B=1.7910887544563148e+00-3.0554994266613233e-01*E-2.4878961651300643e-02*E*E - C=7.5841639153560658e-01+5.5761858956235276e-02*E+5.1480291789433611e-03*E*E - - PAR(2)=R - PAR(3)=B - PAR(4)=C + D1=(0.000+0.000*E+0.000*E*E)/(1.000+0.000*E+0.000*E*E) + D2=(-2.000+0.000*E+0.000*E*E)/(1.000+0.000*E+0.000*E*E) + D3=(0.000+0.000*E+0.000*E*E)/(1.000+0.000*E+0.000*E*E) + U1=(-1.691-0.073*E-0.002*E*E)/(1.000+0.000*E+0.000*E*E) + U2=(0.000+0.000*E+0.000*E*E)/(1.000+0.000*E+0.000*E*E) + U3=(1.791-0.306*E-0.025*E*E)/(1.000+0.000*E+0.000*E*E) + U4=(0.000+0.000*E+0.000*E*E)/(1.000+0.000*E+0.000*E*E) + U5=-(0.758+0.056*E+0.005*E*E)/(1.000+0.000*E+0.000*E*E) + PAR(2)=D1 + PAR(3)=D2 + PAR(4)=D3 + PAR(5)=U1 + PAR(6)=U2 + PAR(7)=U3 + PAR(8)=U4 + PAR(9)=U5 ! If IEQUIB =0 put analytic equilibrium in PAR(11+i), i=1..NDIM diff --git a/examples/17_parameterized_pattern_formation/data/auto/snaking_E2.f90 b/examples/17_parameterized_pattern_formation/data/auto/snaking_E2.f90 new file mode 100644 index 000000000..ac391a67f --- /dev/null +++ b/examples/17_parameterized_pattern_formation/data/auto/snaking_E2.f90 @@ -0,0 +1,147 @@ +!---------------------------------------------------------------------- +!---------------------------------------------------------------------- +! cir : Homoclinic Bifurcation in cubic swift hohenberg +!---------------------------------------------------------------------- +!---------------------------------------------------------------------- + + SUBROUTINE FUNC(NDIM,U,ICP,PAR,IJAC,F,DFDU,DFDP) +! ---------- ---- + + IMPLICIT NONE + INTEGER, INTENT(IN) :: NDIM, ICP(*), IJAC + DOUBLE PRECISION, INTENT(IN) :: U(NDIM), PAR(*) + DOUBLE PRECISION, INTENT(OUT) :: F(NDIM) + DOUBLE PRECISION, INTENT(INOUT) :: DFDU(NDIM,NDIM), DFDP(NDIM,*) + + DOUBLE PRECISION E + DOUBLE PRECISION D1 + DOUBLE PRECISION D2 + DOUBLE PRECISION D3 + DOUBLE PRECISION U1 + DOUBLE PRECISION U2 + DOUBLE PRECISION U3 + DOUBLE PRECISION U4 + DOUBLE PRECISION U5 + + E=PAR(1) + D1=0 + D3=0 + U2=0 + U4=0 + D2=(-2.001+0.004*E+0.009*E*E)/(1.002+-0.000*E+-0.005*E*E) + U1=(-1.000+-0.692+-0.075*E+-0.001*E*E)/(1.002+-0.000*E+-0.005*E*E) + U3=(1.793+-0.296*E+-0.021*E*E)/(1.002+-0.000*E+-0.005*E*E) + U5=-(0.760+0.061*E+0.008*E*E)/(1.002+-0.000*E+-0.005*E*E) + + F(1)= U(2) + F(2)= U(3) + F(3)= U(4) + F(4)= U1*U(1)+U2*U(1)**2+U3*U(1)**3+U4*U(1)**4+U5*U(1)**5+D1*U(2)+D2*U(3)+D3*U(3) + + IF(IJAC.EQ.0)RETURN + + END SUBROUTINE FUNC + + SUBROUTINE STPNT(NDIM,U,PAR,T) +! ---------- ----- + + IMPLICIT NONE + INTEGER, INTENT(IN) :: NDIM + DOUBLE PRECISION, INTENT(INOUT) :: U(NDIM),PAR(*) + DOUBLE PRECISION, INTENT(IN) :: T + +!---------------------------------------------------------------------- +! Problem parameters (only PAR(1-9) are available to the user) : + + U(1)=0.0 + U(2)=0.0 + U(3)=0.0 + U(4)=0.0 + PAR(1)=0.0 ! E + +!---------------------------------------------------------------------- +! If IEQUIB >0 put initial equilibrium in PAR(11+i), i=1,...,NDIM : + + PAR(12) = 0.0 + PAR(13) = 0.0 + PAR(14) = 0.0 + PAR(15) = 0.0 + + + END SUBROUTINE STPNT + + SUBROUTINE PVLS(NDIM,U,PAR) +! ---------- ---- + + IMPLICIT NONE + INTEGER, INTENT(IN) :: NDIM + DOUBLE PRECISION, INTENT(IN) :: U(NDIM) + DOUBLE PRECISION, INTENT(INOUT) :: PAR(*) +! Homoclinic bifurcations COMMON block needed here : + COMMON /BLHOM/ ITWIST,ISTART,IEQUIB,NFIXED,NPSI,NUNSTAB,NSTAB,NREV + INTEGER ITWIST,ISTART,IEQUIB,NFIXED,NPSI,NUNSTAB,NSTAB,NREV + INTEGER I + + DOUBLE PRECISION E + DOUBLE PRECISION D1 + DOUBLE PRECISION D2 + DOUBLE PRECISION D3 + DOUBLE PRECISION U1 + DOUBLE PRECISION U2 + DOUBLE PRECISION U3 + DOUBLE PRECISION U4 + DOUBLE PRECISION U5 + + E=PAR(1) + D1=0 + D3=0 + U2=0 + U4=0 + D2=(-2.001+0.004*E+0.009*E*E)/(1.002+-0.000*E+-0.005*E*E) + U1=(-1.000+-0.692+-0.075*E+-0.001*E*E)/(1.002+-0.000*E+-0.005*E*E) + U3=(1.793+-0.296*E+-0.021*E*E)/(1.002+-0.000*E+-0.005*E*E) + U5=-(0.760+0.061*E+0.008*E*E)/(1.002+-0.000*E+-0.005*E*E) + + PAR(2)=D1 + PAR(3)=D2 + PAR(4)=D3 + PAR(5)=U1 + PAR(6)=U2 + PAR(7)=U3 + PAR(8)=U4 + PAR(9)=U5 + + +! If IEQUIB =0 put analytic equilibrium in PAR(11+i), i=1..NDIM + + IF(IEQUIB.EQ.0)THEN + DO I=1,NDIM + PAR(11+I)= 0.0 + ENDDO + ENDIF + + END SUBROUTINE PVLS + + !---------------------------------------------------------------------- + SUBROUTINE BCND(NDIM,PAR,ICP,NBC,U0,U1,FB,IJAC,DBC) + ! ---------- ---- + + IMPLICIT NONE + INTEGER, INTENT(IN) :: NDIM,ICP(*),NBC,IJAC + DOUBLE PRECISION, INTENT(IN) :: PAR(*),U0(NDIM),U1(NDIM) + DOUBLE PRECISION, INTENT(OUT) :: FB(NBC) + DOUBLE PRECISION, INTENT(INOUT) :: DBC(NBC,*) + + FB(1)=U0(1) + FB(2)=U1(1) + FB(3)=U0(3) + FB(4)=U1(3) + + END SUBROUTINE BCND + !---------------------------------------------------------------------- + + SUBROUTINE ICND + END SUBROUTINE ICND + + SUBROUTINE FOPT + END SUBROUTINE FOPT diff --git a/examples/17_parameterized_pattern_formation/data/auto/snaking_E2_T.f90 b/examples/17_parameterized_pattern_formation/data/auto/snaking_E2_T.f90 new file mode 100644 index 000000000..dfc1f8ac2 --- /dev/null +++ b/examples/17_parameterized_pattern_formation/data/auto/snaking_E2_T.f90 @@ -0,0 +1,151 @@ +!---------------------------------------------------------------------- +!---------------------------------------------------------------------- +! cir : Homoclinic Bifurcation in an Electronic Circuit +! (the same equations as in demo tor) +!---------------------------------------------------------------------- +!---------------------------------------------------------------------- + + SUBROUTINE FUNC(NDIM,U,ICP,PAR,IJAC,F,DFDU,DFDP) +! ---------- ---- + + IMPLICIT NONE + INTEGER, INTENT(IN) :: NDIM, ICP(*), IJAC + DOUBLE PRECISION, INTENT(IN) :: U(NDIM), PAR(*) + DOUBLE PRECISION, INTENT(OUT) :: F(NDIM) + DOUBLE PRECISION, INTENT(INOUT) :: DFDU(NDIM,NDIM), DFDP(NDIM,*) + + DOUBLE PRECISION E + DOUBLE PRECISION D1 + DOUBLE PRECISION D2 + DOUBLE PRECISION D3 + DOUBLE PRECISION U1 + DOUBLE PRECISION U2 + DOUBLE PRECISION U3 + DOUBLE PRECISION U4 + DOUBLE PRECISION U5 + DOUBLE PRECISION T + + E=PAR(1) + D1=0 + D3=0 + U2=0 + U4=0 + D2=(-2.001+0.004*E+0.009*E*E)/(1.002+-0.000*E+-0.005*E*E) + U1=(-1.000+-0.692+-0.075*E+-0.001*E*E)/(1.002+-0.000*E+-0.005*E*E) + U3=(1.793+-0.296*E+-0.021*E*E)/(1.002+-0.000*E+-0.005*E*E) + U5=-(0.760+0.061*E+0.008*E*E)/(1.002+-0.000*E+-0.005*E*E) + + T=6.283185307179586 + + + F(1)= T*U(2) + F(2)= T*U(3) + F(3)= T*U(4) + F(4)= T*(U1*U(1)+U2*U(1)**2+U3*U(1)**3+U4*U(1)**4+U5*U(1)**5+D1*U(2)+D2*U(3)+D3*U(3)) + + IF(IJAC.EQ.0)RETURN + + END SUBROUTINE FUNC + + SUBROUTINE STPNT(NDIM,U,PAR,T) +! ---------- ----- + + IMPLICIT NONE + INTEGER, INTENT(IN) :: NDIM + DOUBLE PRECISION, INTENT(INOUT) :: U(NDIM),PAR(*) + DOUBLE PRECISION, INTENT(IN) :: T + +!---------------------------------------------------------------------- +! Problem parameters (only PAR(1-9) are available to the user) : + + U(1)=0.0 + U(2)=0.0 + U(3)=0.0 + U(4)=0.0 + PAR(1)=0.0 ! E + +!---------------------------------------------------------------------- +! If IEQUIB >0 put initial equilibrium in PAR(11+i), i=1,...,NDIM : + + PAR(12) = 0.0 + PAR(13) = 0.0 + PAR(14) = 0.0 + PAR(15) = 0.0 + + + END SUBROUTINE STPNT + + SUBROUTINE PVLS(NDIM,U,PAR) +! ---------- ---- + + IMPLICIT NONE + INTEGER, INTENT(IN) :: NDIM + DOUBLE PRECISION, INTENT(IN) :: U(NDIM) + DOUBLE PRECISION, INTENT(INOUT) :: PAR(*) +! Homoclinic bifurcations COMMON block needed here : + COMMON /BLHOM/ ITWIST,ISTART,IEQUIB,NFIXED,NPSI,NUNSTAB,NSTAB,NREV + INTEGER ITWIST,ISTART,IEQUIB,NFIXED,NPSI,NUNSTAB,NSTAB,NREV + INTEGER I + + DOUBLE PRECISION E + DOUBLE PRECISION D1 + DOUBLE PRECISION D2 + DOUBLE PRECISION D3 + DOUBLE PRECISION U1 + DOUBLE PRECISION U2 + DOUBLE PRECISION U3 + DOUBLE PRECISION U4 + DOUBLE PRECISION U5 + + E=PAR(1) + D1=0 + D3=0 + U2=0 + U4=0 + D2=(-2.001+0.004*E+0.009*E*E)/(1.002+-0.000*E+-0.005*E*E) + U1=(-1.000+-0.692+-0.075*E+-0.001*E*E)/(1.002+-0.000*E+-0.005*E*E) + U3=(1.793+-0.296*E+-0.021*E*E)/(1.002+-0.000*E+-0.005*E*E) + U5=-(0.760+0.061*E+0.008*E*E)/(1.002+-0.000*E+-0.005*E*E) + + PAR(2)=D1 + PAR(3)=D2 + PAR(4)=D3 + PAR(5)=U1 + PAR(6)=U2 + PAR(7)=U3 + PAR(8)=U4 + PAR(9)=U5 + +! If IEQUIB =0 put analytic equilibrium in PAR(11+i), i=1..NDIM + + IF(IEQUIB.EQ.0)THEN + DO I=1,NDIM + PAR(11+I)= 0.0 + ENDDO + ENDIF + + END SUBROUTINE PVLS + + !---------------------------------------------------------------------- + SUBROUTINE BCND(NDIM,PAR,ICP,NBC,U0,U1,FB,IJAC,DBC) + ! ---------- ---- + + IMPLICIT NONE + INTEGER, INTENT(IN) :: NDIM,ICP(*),NBC,IJAC + DOUBLE PRECISION, INTENT(IN) :: PAR(*),U0(NDIM),U1(NDIM) + DOUBLE PRECISION, INTENT(OUT) :: FB(NBC) + DOUBLE PRECISION, INTENT(INOUT) :: DBC(NBC,*) + + FB(1)=U0(1) + FB(2)=U1(1) + FB(3)=U0(3) + FB(4)=U1(3) + + END SUBROUTINE BCND + !---------------------------------------------------------------------- + + SUBROUTINE ICND + END SUBROUTINE ICND + + SUBROUTINE FOPT + END SUBROUTINE FOPT diff --git a/examples/17_parameterized_pattern_formation/data/auto/snaking_E3.f90 b/examples/17_parameterized_pattern_formation/data/auto/snaking_E3.f90 new file mode 100644 index 000000000..e87e4d706 --- /dev/null +++ b/examples/17_parameterized_pattern_formation/data/auto/snaking_E3.f90 @@ -0,0 +1,147 @@ +!---------------------------------------------------------------------- +!---------------------------------------------------------------------- +! cir : Homoclinic Bifurcation in cubic swift hohenberg +!---------------------------------------------------------------------- +!---------------------------------------------------------------------- + + SUBROUTINE FUNC(NDIM,U,ICP,PAR,IJAC,F,DFDU,DFDP) +! ---------- ---- + + IMPLICIT NONE + INTEGER, INTENT(IN) :: NDIM, ICP(*), IJAC + DOUBLE PRECISION, INTENT(IN) :: U(NDIM), PAR(*) + DOUBLE PRECISION, INTENT(OUT) :: F(NDIM) + DOUBLE PRECISION, INTENT(INOUT) :: DFDU(NDIM,NDIM), DFDP(NDIM,*) + + DOUBLE PRECISION E + DOUBLE PRECISION D1 + DOUBLE PRECISION D2 + DOUBLE PRECISION D3 + DOUBLE PRECISION U1 + DOUBLE PRECISION U2 + DOUBLE PRECISION U3 + DOUBLE PRECISION U4 + DOUBLE PRECISION U5 + + E=PAR(1) + D1=0 + D3=0 + U2=0 + U4=0 + D2=(-1.940+-0.072*E+0.022*E*E)/(0.975+0.025*E+-0.010*E*E) + U1=(-1.000+-0.680+-0.086*E+0.000*E*E)/(0.975+0.025*E+-0.010*E*E) + U3=(1.702+-0.201*E+-0.047*E*E)/(0.975+0.025*E+-0.010*E*E) + U5=-(0.684+0.125*E+-0.000*E*E)/(0.975+0.025*E+-0.010*E*E) + + + F(1)= U(2) + F(2)= U(3) + F(3)= U(4) + F(4)= U1*U(1)+U2*U(1)**2+U3*U(1)**3+U4*U(1)**4+U5*U(1)**5+D1*U(2)+D2*U(3)+D3*U(3) + + IF(IJAC.EQ.0)RETURN + + END SUBROUTINE FUNC + + SUBROUTINE STPNT(NDIM,U,PAR,T) +! ---------- ----- + + IMPLICIT NONE + INTEGER, INTENT(IN) :: NDIM + DOUBLE PRECISION, INTENT(INOUT) :: U(NDIM),PAR(*) + DOUBLE PRECISION, INTENT(IN) :: T + +!---------------------------------------------------------------------- +! Problem parameters (only PAR(1-9) are available to the user) : + + U(1)=0.0 + U(2)=0.0 + U(3)=0.0 + U(4)=0.0 + PAR(1)=0.0 ! E + +!---------------------------------------------------------------------- +! If IEQUIB >0 put initial equilibrium in PAR(11+i), i=1,...,NDIM : + + PAR(12) = 0.0 + PAR(13) = 0.0 + PAR(14) = 0.0 + PAR(15) = 0.0 + + + END SUBROUTINE STPNT + + SUBROUTINE PVLS(NDIM,U,PAR) +! ---------- ---- + + IMPLICIT NONE + INTEGER, INTENT(IN) :: NDIM + DOUBLE PRECISION, INTENT(IN) :: U(NDIM) + DOUBLE PRECISION, INTENT(INOUT) :: PAR(*) +! Homoclinic bifurcations COMMON block needed here : + COMMON /BLHOM/ ITWIST,ISTART,IEQUIB,NFIXED,NPSI,NUNSTAB,NSTAB,NREV + INTEGER ITWIST,ISTART,IEQUIB,NFIXED,NPSI,NUNSTAB,NSTAB,NREV + INTEGER I + + DOUBLE PRECISION E + DOUBLE PRECISION D1 + DOUBLE PRECISION D2 + DOUBLE PRECISION D3 + DOUBLE PRECISION U1 + DOUBLE PRECISION U2 + DOUBLE PRECISION U3 + DOUBLE PRECISION U4 + DOUBLE PRECISION U5 + + E=PAR(1) + D1=0 + D3=0 + U2=0 + U4=0 + D2=(-1.940+-0.072*E+0.022*E*E)/(0.975+0.025*E+-0.010*E*E) + U1=(-1.000+-0.680+-0.086*E+0.000*E*E)/(0.975+0.025*E+-0.010*E*E) + U3=(1.702+-0.201*E+-0.047*E*E)/(0.975+0.025*E+-0.010*E*E) + U5=-(0.684+0.125*E+-0.000*E*E)/(0.975+0.025*E+-0.010*E*E) + + PAR(2)=D1 + PAR(3)=D2 + PAR(4)=D3 + PAR(5)=U1 + PAR(6)=U2 + PAR(7)=U3 + PAR(8)=U4 + PAR(9)=U5 + +! If IEQUIB =0 put analytic equilibrium in PAR(11+i), i=1..NDIM + + IF(IEQUIB.EQ.0)THEN + DO I=1,NDIM + PAR(11+I)= 0.0 + ENDDO + ENDIF + + END SUBROUTINE PVLS + + !---------------------------------------------------------------------- + SUBROUTINE BCND(NDIM,PAR,ICP,NBC,U0,U1,FB,IJAC,DBC) + ! ---------- ---- + + IMPLICIT NONE + INTEGER, INTENT(IN) :: NDIM,ICP(*),NBC,IJAC + DOUBLE PRECISION, INTENT(IN) :: PAR(*),U0(NDIM),U1(NDIM) + DOUBLE PRECISION, INTENT(OUT) :: FB(NBC) + DOUBLE PRECISION, INTENT(INOUT) :: DBC(NBC,*) + + FB(1)=U0(1) + FB(2)=U1(1) + FB(3)=U0(3) + FB(4)=U1(3) + + END SUBROUTINE BCND + !---------------------------------------------------------------------- + + SUBROUTINE ICND + END SUBROUTINE ICND + + SUBROUTINE FOPT + END SUBROUTINE FOPT diff --git a/examples/17_parameterized_pattern_formation/data/auto/snaking_E3_T.f90 b/examples/17_parameterized_pattern_formation/data/auto/snaking_E3_T.f90 new file mode 100644 index 000000000..62885014f --- /dev/null +++ b/examples/17_parameterized_pattern_formation/data/auto/snaking_E3_T.f90 @@ -0,0 +1,150 @@ +!---------------------------------------------------------------------- +!---------------------------------------------------------------------- +! cir : Homoclinic Bifurcation in an Electronic Circuit +! (the same equations as in demo tor) +!---------------------------------------------------------------------- +!---------------------------------------------------------------------- + + SUBROUTINE FUNC(NDIM,U,ICP,PAR,IJAC,F,DFDU,DFDP) +! ---------- ---- + + IMPLICIT NONE + INTEGER, INTENT(IN) :: NDIM, ICP(*), IJAC + DOUBLE PRECISION, INTENT(IN) :: U(NDIM), PAR(*) + DOUBLE PRECISION, INTENT(OUT) :: F(NDIM) + DOUBLE PRECISION, INTENT(INOUT) :: DFDU(NDIM,NDIM), DFDP(NDIM,*) + + DOUBLE PRECISION E + DOUBLE PRECISION D1 + DOUBLE PRECISION D2 + DOUBLE PRECISION D3 + DOUBLE PRECISION U1 + DOUBLE PRECISION U2 + DOUBLE PRECISION U3 + DOUBLE PRECISION U4 + DOUBLE PRECISION U5 + DOUBLE PRECISION T + + E=PAR(1) + D1=0 + D3=0 + U2=0 + U4=0 + D2=(-1.940+-0.072*E+0.022*E*E)/(0.975+0.025*E+-0.010*E*E) + U1=(-1.000+-0.680+-0.086*E+0.000*E*E)/(0.975+0.025*E+-0.010*E*E) + U3=(1.702+-0.201*E+-0.047*E*E)/(0.975+0.025*E+-0.010*E*E) + U5=-(0.684+0.125*E+-0.000*E*E)/(0.975+0.025*E+-0.010*E*E) + T=6.283185307179586 + + + F(1)= T*U(2) + F(2)= T*U(3) + F(3)= T*U(4) + F(4)= T*(U1*U(1)+U2*U(1)**2+U3*U(1)**3+U4*U(1)**4+U5*U(1)**5+D1*U(2)+D2*U(3)+D3*U(3)) + + IF(IJAC.EQ.0)RETURN + + END SUBROUTINE FUNC + + SUBROUTINE STPNT(NDIM,U,PAR,T) +! ---------- ----- + + IMPLICIT NONE + INTEGER, INTENT(IN) :: NDIM + DOUBLE PRECISION, INTENT(INOUT) :: U(NDIM),PAR(*) + DOUBLE PRECISION, INTENT(IN) :: T + +!---------------------------------------------------------------------- +! Problem parameters (only PAR(1-9) are available to the user) : + + U(1)=0.0 + U(2)=0.0 + U(3)=0.0 + U(4)=0.0 + PAR(1)=0.0 ! E + +!---------------------------------------------------------------------- +! If IEQUIB >0 put initial equilibrium in PAR(11+i), i=1,...,NDIM : + + PAR(12) = 0.0 + PAR(13) = 0.0 + PAR(14) = 0.0 + PAR(15) = 0.0 + + + END SUBROUTINE STPNT + + SUBROUTINE PVLS(NDIM,U,PAR) +! ---------- ---- + + IMPLICIT NONE + INTEGER, INTENT(IN) :: NDIM + DOUBLE PRECISION, INTENT(IN) :: U(NDIM) + DOUBLE PRECISION, INTENT(INOUT) :: PAR(*) +! Homoclinic bifurcations COMMON block needed here : + COMMON /BLHOM/ ITWIST,ISTART,IEQUIB,NFIXED,NPSI,NUNSTAB,NSTAB,NREV + INTEGER ITWIST,ISTART,IEQUIB,NFIXED,NPSI,NUNSTAB,NSTAB,NREV + INTEGER I + + DOUBLE PRECISION E + DOUBLE PRECISION D1 + DOUBLE PRECISION D2 + DOUBLE PRECISION D3 + DOUBLE PRECISION U1 + DOUBLE PRECISION U2 + DOUBLE PRECISION U3 + DOUBLE PRECISION U4 + DOUBLE PRECISION U5 + + E=PAR(1) + D1=0 + D3=0 + U2=0 + U4=0 + D2=(-1.940+-0.072*E+0.022*E*E)/(0.975+0.025*E+-0.010*E*E) + U1=(-1.000+-0.680+-0.086*E+0.000*E*E)/(0.975+0.025*E+-0.010*E*E) + U3=(1.702+-0.201*E+-0.047*E*E)/(0.975+0.025*E+-0.010*E*E) + U5=-(0.684+0.125*E+-0.000*E*E)/(0.975+0.025*E+-0.010*E*E) + + PAR(2)=D1 + PAR(3)=D2 + PAR(4)=D3 + PAR(5)=U1 + PAR(6)=U2 + PAR(7)=U3 + PAR(8)=U4 + PAR(9)=U5 + +! If IEQUIB =0 put analytic equilibrium in PAR(11+i), i=1..NDIM + + IF(IEQUIB.EQ.0)THEN + DO I=1,NDIM + PAR(11+I)= 0.0 + ENDDO + ENDIF + + END SUBROUTINE PVLS + + !---------------------------------------------------------------------- + SUBROUTINE BCND(NDIM,PAR,ICP,NBC,U0,U1,FB,IJAC,DBC) + ! ---------- ---- + + IMPLICIT NONE + INTEGER, INTENT(IN) :: NDIM,ICP(*),NBC,IJAC + DOUBLE PRECISION, INTENT(IN) :: PAR(*),U0(NDIM),U1(NDIM) + DOUBLE PRECISION, INTENT(OUT) :: FB(NBC) + DOUBLE PRECISION, INTENT(INOUT) :: DBC(NBC,*) + + FB(1)=U0(1) + FB(2)=U1(1) + FB(3)=U0(3) + FB(4)=U1(3) + + END SUBROUTINE BCND + !---------------------------------------------------------------------- + + SUBROUTINE ICND + END SUBROUTINE ICND + + SUBROUTINE FOPT + END SUBROUTINE FOPT diff --git a/examples/17_parameterized_pattern_formation/data/auto/snaking_E4.f90 b/examples/17_parameterized_pattern_formation/data/auto/snaking_E4.f90 new file mode 100644 index 000000000..f42c66777 --- /dev/null +++ b/examples/17_parameterized_pattern_formation/data/auto/snaking_E4.f90 @@ -0,0 +1,147 @@ +!---------------------------------------------------------------------- +!---------------------------------------------------------------------- +! cir : Homoclinic Bifurcation in cubic swift hohenberg +!---------------------------------------------------------------------- +!---------------------------------------------------------------------- + + SUBROUTINE FUNC(NDIM,U,ICP,PAR,IJAC,F,DFDU,DFDP) +! ---------- ---- + + IMPLICIT NONE + INTEGER, INTENT(IN) :: NDIM, ICP(*), IJAC + DOUBLE PRECISION, INTENT(IN) :: U(NDIM), PAR(*) + DOUBLE PRECISION, INTENT(OUT) :: F(NDIM) + DOUBLE PRECISION, INTENT(INOUT) :: DFDU(NDIM,NDIM), DFDP(NDIM,*) + + DOUBLE PRECISION E + DOUBLE PRECISION D1 + DOUBLE PRECISION D2 + DOUBLE PRECISION D3 + DOUBLE PRECISION U1 + DOUBLE PRECISION U2 + DOUBLE PRECISION U3 + DOUBLE PRECISION U4 + DOUBLE PRECISION U5 + + E=PAR(1) + D1=0 + D3=0 + U2=0 + U4=0 + D2=(-2.009+0.014*E+0.041*E*E)/(1.014+0.005*E+-0.019*E*E) + U1=(-1.000+-0.703+-0.079*E+0.005*E*E)/(1.014+0.005*E+-0.019*E*E) + U3=(1.809+-0.264*E+-0.009*E*E)/(1.014+0.005*E+-0.019*E*E) + U5=-(0.760+0.077*E+0.016*E*E)/(1.014+0.005*E+-0.019*E*E) + + F(1)= U(2) + F(2)= U(3) + F(3)= U(4) + F(4)= U1*U(1)+U2*U(1)**2+U3*U(1)**3+U4*U(1)**4+U5*U(1)**5+D1*U(2)+D2*U(3)+D3*U(3) + + IF(IJAC.EQ.0)RETURN + + END SUBROUTINE FUNC + + SUBROUTINE STPNT(NDIM,U,PAR,T) +! ---------- ----- + + IMPLICIT NONE + INTEGER, INTENT(IN) :: NDIM + DOUBLE PRECISION, INTENT(INOUT) :: U(NDIM),PAR(*) + DOUBLE PRECISION, INTENT(IN) :: T + +!---------------------------------------------------------------------- +! Problem parameters (only PAR(1-9) are available to the user) : + + U(1)=0.0 + U(2)=0.0 + U(3)=0.0 + U(4)=0.0 + PAR(1)=0.0 ! E + +!---------------------------------------------------------------------- +! If IEQUIB >0 put initial equilibrium in PAR(11+i), i=1,...,NDIM : + + PAR(12) = 0.0 + PAR(13) = 0.0 + PAR(14) = 0.0 + PAR(15) = 0.0 + + + END SUBROUTINE STPNT + + SUBROUTINE PVLS(NDIM,U,PAR) +! ---------- ---- + + IMPLICIT NONE + INTEGER, INTENT(IN) :: NDIM + DOUBLE PRECISION, INTENT(IN) :: U(NDIM) + DOUBLE PRECISION, INTENT(INOUT) :: PAR(*) +! Homoclinic bifurcations COMMON block needed here : + COMMON /BLHOM/ ITWIST,ISTART,IEQUIB,NFIXED,NPSI,NUNSTAB,NSTAB,NREV + INTEGER ITWIST,ISTART,IEQUIB,NFIXED,NPSI,NUNSTAB,NSTAB,NREV + INTEGER I + + DOUBLE PRECISION E + DOUBLE PRECISION D1 + DOUBLE PRECISION D2 + DOUBLE PRECISION D3 + DOUBLE PRECISION U1 + DOUBLE PRECISION U2 + DOUBLE PRECISION U3 + DOUBLE PRECISION U4 + DOUBLE PRECISION U5 + + E=PAR(1) + D1=0 + D3=0 + U2=0 + U4=0 + D2=(-2.009+0.014*E+0.041*E*E)/(1.014+0.005*E+-0.019*E*E) + U1=(-1.000+-0.703+-0.079*E+0.005*E*E)/(1.014+0.005*E+-0.019*E*E) + U3=(1.809+-0.264*E+-0.009*E*E)/(1.014+0.005*E+-0.019*E*E) + U5=-(0.760+0.077*E+0.016*E*E)/(1.014+0.005*E+-0.019*E*E) + + PAR(2)=D1 + PAR(3)=D2 + PAR(4)=D3 + PAR(5)=U1 + PAR(6)=U2 + PAR(7)=U3 + PAR(8)=U4 + PAR(9)=U5 + + +! If IEQUIB =0 put analytic equilibrium in PAR(11+i), i=1..NDIM + + IF(IEQUIB.EQ.0)THEN + DO I=1,NDIM + PAR(11+I)= 0.0 + ENDDO + ENDIF + + END SUBROUTINE PVLS + + !---------------------------------------------------------------------- + SUBROUTINE BCND(NDIM,PAR,ICP,NBC,U0,U1,FB,IJAC,DBC) + ! ---------- ---- + + IMPLICIT NONE + INTEGER, INTENT(IN) :: NDIM,ICP(*),NBC,IJAC + DOUBLE PRECISION, INTENT(IN) :: PAR(*),U0(NDIM),U1(NDIM) + DOUBLE PRECISION, INTENT(OUT) :: FB(NBC) + DOUBLE PRECISION, INTENT(INOUT) :: DBC(NBC,*) + + FB(1)=U0(1) + FB(2)=U1(1) + FB(3)=U0(3) + FB(4)=U1(3) + + END SUBROUTINE BCND + !---------------------------------------------------------------------- + + SUBROUTINE ICND + END SUBROUTINE ICND + + SUBROUTINE FOPT + END SUBROUTINE FOPT diff --git a/examples/17_parameterized_pattern_formation/data/auto/snaking_E4_T.f90 b/examples/17_parameterized_pattern_formation/data/auto/snaking_E4_T.f90 new file mode 100644 index 000000000..b4e6487af --- /dev/null +++ b/examples/17_parameterized_pattern_formation/data/auto/snaking_E4_T.f90 @@ -0,0 +1,151 @@ +!---------------------------------------------------------------------- +!---------------------------------------------------------------------- +! cir : Homoclinic Bifurcation in an Electronic Circuit +! (the same equations as in demo tor) +!---------------------------------------------------------------------- +!---------------------------------------------------------------------- + + SUBROUTINE FUNC(NDIM,U,ICP,PAR,IJAC,F,DFDU,DFDP) +! ---------- ---- + + IMPLICIT NONE + INTEGER, INTENT(IN) :: NDIM, ICP(*), IJAC + DOUBLE PRECISION, INTENT(IN) :: U(NDIM), PAR(*) + DOUBLE PRECISION, INTENT(OUT) :: F(NDIM) + DOUBLE PRECISION, INTENT(INOUT) :: DFDU(NDIM,NDIM), DFDP(NDIM,*) + + DOUBLE PRECISION E + DOUBLE PRECISION D1 + DOUBLE PRECISION D2 + DOUBLE PRECISION D3 + DOUBLE PRECISION U1 + DOUBLE PRECISION U2 + DOUBLE PRECISION U3 + DOUBLE PRECISION U4 + DOUBLE PRECISION U5 + DOUBLE PRECISION T + + E=PAR(1) + D1=0 + D3=0 + U2=0 + U4=0 + D2=(-2.009+0.014*E+0.041*E*E)/(1.014+0.005*E+-0.019*E*E) + U1=(-1.000+-0.703+-0.079*E+0.005*E*E)/(1.014+0.005*E+-0.019*E*E) + U3=(1.809+-0.264*E+-0.009*E*E)/(1.014+0.005*E+-0.019*E*E) + U5=-(0.760+0.077*E+0.016*E*E)/(1.014+0.005*E+-0.019*E*E) + + T=6.283185307179586 + + + F(1)= T*U(2) + F(2)= T*U(3) + F(3)= T*U(4) + F(4)= T*(U1*U(1)+U2*U(1)**2+U3*U(1)**3+U4*U(1)**4+U5*U(1)**5+D1*U(2)+D2*U(3)+D3*U(3)) + + IF(IJAC.EQ.0)RETURN + + END SUBROUTINE FUNC + + SUBROUTINE STPNT(NDIM,U,PAR,T) +! ---------- ----- + + IMPLICIT NONE + INTEGER, INTENT(IN) :: NDIM + DOUBLE PRECISION, INTENT(INOUT) :: U(NDIM),PAR(*) + DOUBLE PRECISION, INTENT(IN) :: T + +!---------------------------------------------------------------------- +! Problem parameters (only PAR(1-9) are available to the user) : + + U(1)=0.0 + U(2)=0.0 + U(3)=0.0 + U(4)=0.0 + PAR(1)=0.0 ! E + +!---------------------------------------------------------------------- +! If IEQUIB >0 put initial equilibrium in PAR(11+i), i=1,...,NDIM : + + PAR(12) = 0.0 + PAR(13) = 0.0 + PAR(14) = 0.0 + PAR(15) = 0.0 + + + END SUBROUTINE STPNT + + SUBROUTINE PVLS(NDIM,U,PAR) +! ---------- ---- + + IMPLICIT NONE + INTEGER, INTENT(IN) :: NDIM + DOUBLE PRECISION, INTENT(IN) :: U(NDIM) + DOUBLE PRECISION, INTENT(INOUT) :: PAR(*) +! Homoclinic bifurcations COMMON block needed here : + COMMON /BLHOM/ ITWIST,ISTART,IEQUIB,NFIXED,NPSI,NUNSTAB,NSTAB,NREV + INTEGER ITWIST,ISTART,IEQUIB,NFIXED,NPSI,NUNSTAB,NSTAB,NREV + INTEGER I + + DOUBLE PRECISION E + DOUBLE PRECISION D1 + DOUBLE PRECISION D2 + DOUBLE PRECISION D3 + DOUBLE PRECISION U1 + DOUBLE PRECISION U2 + DOUBLE PRECISION U3 + DOUBLE PRECISION U4 + DOUBLE PRECISION U5 + + E=PAR(1) + D1=0 + D3=0 + U2=0 + U4=0 + D2=(-2.009+0.014*E+0.041*E*E)/(1.014+0.005*E+-0.019*E*E) + U1=(-1.000+-0.703+-0.079*E+0.005*E*E)/(1.014+0.005*E+-0.019*E*E) + U3=(1.809+-0.264*E+-0.009*E*E)/(1.014+0.005*E+-0.019*E*E) + U5=-(0.760+0.077*E+0.016*E*E)/(1.014+0.005*E+-0.019*E*E) + + PAR(2)=D1 + PAR(3)=D2 + PAR(4)=D3 + PAR(5)=U1 + PAR(6)=U2 + PAR(7)=U3 + PAR(8)=U4 + PAR(9)=U5 + +! If IEQUIB =0 put analytic equilibrium in PAR(11+i), i=1..NDIM + + IF(IEQUIB.EQ.0)THEN + DO I=1,NDIM + PAR(11+I)= 0.0 + ENDDO + ENDIF + + END SUBROUTINE PVLS + + !---------------------------------------------------------------------- + SUBROUTINE BCND(NDIM,PAR,ICP,NBC,U0,U1,FB,IJAC,DBC) + ! ---------- ---- + + IMPLICIT NONE + INTEGER, INTENT(IN) :: NDIM,ICP(*),NBC,IJAC + DOUBLE PRECISION, INTENT(IN) :: PAR(*),U0(NDIM),U1(NDIM) + DOUBLE PRECISION, INTENT(OUT) :: FB(NBC) + DOUBLE PRECISION, INTENT(INOUT) :: DBC(NBC,*) + + FB(1)=U0(1) + FB(2)=U1(1) + FB(3)=U0(3) + FB(4)=U1(3) + + END SUBROUTINE BCND + !---------------------------------------------------------------------- + + SUBROUTINE ICND + END SUBROUTINE ICND + + SUBROUTINE FOPT + END SUBROUTINE FOPT diff --git a/examples/17_parameterized_pattern_formation/data/auto/snaking_E5.f90 b/examples/17_parameterized_pattern_formation/data/auto/snaking_E5.f90 new file mode 100644 index 000000000..d16c0b3e6 --- /dev/null +++ b/examples/17_parameterized_pattern_formation/data/auto/snaking_E5.f90 @@ -0,0 +1,147 @@ +!---------------------------------------------------------------------- +!---------------------------------------------------------------------- +! cir : Homoclinic Bifurcation in cubic swift hohenberg +!---------------------------------------------------------------------- +!---------------------------------------------------------------------- + + SUBROUTINE FUNC(NDIM,U,ICP,PAR,IJAC,F,DFDU,DFDP) +! ---------- ---- + + IMPLICIT NONE + INTEGER, INTENT(IN) :: NDIM, ICP(*), IJAC + DOUBLE PRECISION, INTENT(IN) :: U(NDIM), PAR(*) + DOUBLE PRECISION, INTENT(OUT) :: F(NDIM) + DOUBLE PRECISION, INTENT(INOUT) :: DFDU(NDIM,NDIM), DFDP(NDIM,*) + + DOUBLE PRECISION E + DOUBLE PRECISION D1 + DOUBLE PRECISION D2 + DOUBLE PRECISION D3 + DOUBLE PRECISION U1 + DOUBLE PRECISION U2 + DOUBLE PRECISION U3 + DOUBLE PRECISION U4 + DOUBLE PRECISION U5 + + E=PAR(1) + D1=0 + D3=0 + U2=0 + U4=0 + D2=(-1.702+-0.354*E+0.107*E*E)/(0.880+0.126*E+-0.047*E*E) + U1=(-1.000+-0.627+-0.155*E+0.019*E*E)/(0.880+0.126*E+-0.047*E*E) + U3=(1.128+0.547*E+-0.275*E*E)/(0.880+0.126*E+-0.047*E*E) + U5=-(-0.112+1.183*E+-0.357*E*E)/(0.880+0.126*E+-0.047*E*E) + + F(1)= U(2) + F(2)= U(3) + F(3)= U(4) + F(4)= U1*U(1)+U2*U(1)**2+U3*U(1)**3+U4*U(1)**4+U5*U(1)**5+D1*U(2)+D2*U(3)+D3*U(3) + + IF(IJAC.EQ.0)RETURN + + END SUBROUTINE FUNC + + SUBROUTINE STPNT(NDIM,U,PAR,T) +! ---------- ----- + + IMPLICIT NONE + INTEGER, INTENT(IN) :: NDIM + DOUBLE PRECISION, INTENT(INOUT) :: U(NDIM),PAR(*) + DOUBLE PRECISION, INTENT(IN) :: T + +!---------------------------------------------------------------------- +! Problem parameters (only PAR(1-9) are available to the user) : + + U(1)=0.0 + U(2)=0.0 + U(3)=0.0 + U(4)=0.0 + PAR(1)=0.0 ! E + +!---------------------------------------------------------------------- +! If IEQUIB >0 put initial equilibrium in PAR(11+i), i=1,...,NDIM : + + PAR(12) = 0.0 + PAR(13) = 0.0 + PAR(14) = 0.0 + PAR(15) = 0.0 + + + END SUBROUTINE STPNT + + SUBROUTINE PVLS(NDIM,U,PAR) +! ---------- ---- + + IMPLICIT NONE + INTEGER, INTENT(IN) :: NDIM + DOUBLE PRECISION, INTENT(IN) :: U(NDIM) + DOUBLE PRECISION, INTENT(INOUT) :: PAR(*) +! Homoclinic bifurcations COMMON block needed here : + COMMON /BLHOM/ ITWIST,ISTART,IEQUIB,NFIXED,NPSI,NUNSTAB,NSTAB,NREV + INTEGER ITWIST,ISTART,IEQUIB,NFIXED,NPSI,NUNSTAB,NSTAB,NREV + INTEGER I + + DOUBLE PRECISION E + DOUBLE PRECISION D1 + DOUBLE PRECISION D2 + DOUBLE PRECISION D3 + DOUBLE PRECISION U1 + DOUBLE PRECISION U2 + DOUBLE PRECISION U3 + DOUBLE PRECISION U4 + DOUBLE PRECISION U5 + + E=PAR(1) + D1=0 + D3=0 + U2=0 + U4=0 + D2=(-1.702+-0.354*E+0.107*E*E)/(0.880+0.126*E+-0.047*E*E) + U1=(-1.000+-0.627+-0.155*E+0.019*E*E)/(0.880+0.126*E+-0.047*E*E) + U3=(1.128+0.547*E+-0.275*E*E)/(0.880+0.126*E+-0.047*E*E) + U5=-(-0.112+1.183*E+-0.357*E*E)/(0.880+0.126*E+-0.047*E*E) + + PAR(2)=D1 + PAR(3)=D2 + PAR(4)=D3 + PAR(5)=U1 + PAR(6)=U2 + PAR(7)=U3 + PAR(8)=U4 + PAR(9)=U5 + + +! If IEQUIB =0 put analytic equilibrium in PAR(11+i), i=1..NDIM + + IF(IEQUIB.EQ.0)THEN + DO I=1,NDIM + PAR(11+I)= 0.0 + ENDDO + ENDIF + + END SUBROUTINE PVLS + + !---------------------------------------------------------------------- + SUBROUTINE BCND(NDIM,PAR,ICP,NBC,U0,U1,FB,IJAC,DBC) + ! ---------- ---- + + IMPLICIT NONE + INTEGER, INTENT(IN) :: NDIM,ICP(*),NBC,IJAC + DOUBLE PRECISION, INTENT(IN) :: PAR(*),U0(NDIM),U1(NDIM) + DOUBLE PRECISION, INTENT(OUT) :: FB(NBC) + DOUBLE PRECISION, INTENT(INOUT) :: DBC(NBC,*) + + FB(1)=U0(1) + FB(2)=U1(1) + FB(3)=U0(3) + FB(4)=U1(3) + + END SUBROUTINE BCND + !---------------------------------------------------------------------- + + SUBROUTINE ICND + END SUBROUTINE ICND + + SUBROUTINE FOPT + END SUBROUTINE FOPT diff --git a/examples/17_parameterized_pattern_formation/data/auto/snaking_E5_T.f90 b/examples/17_parameterized_pattern_formation/data/auto/snaking_E5_T.f90 new file mode 100644 index 000000000..37e1631a7 --- /dev/null +++ b/examples/17_parameterized_pattern_formation/data/auto/snaking_E5_T.f90 @@ -0,0 +1,151 @@ +!---------------------------------------------------------------------- +!---------------------------------------------------------------------- +! cir : Homoclinic Bifurcation in an Electronic Circuit +! (the same equations as in demo tor) +!---------------------------------------------------------------------- +!---------------------------------------------------------------------- + + SUBROUTINE FUNC(NDIM,U,ICP,PAR,IJAC,F,DFDU,DFDP) +! ---------- ---- + + IMPLICIT NONE + INTEGER, INTENT(IN) :: NDIM, ICP(*), IJAC + DOUBLE PRECISION, INTENT(IN) :: U(NDIM), PAR(*) + DOUBLE PRECISION, INTENT(OUT) :: F(NDIM) + DOUBLE PRECISION, INTENT(INOUT) :: DFDU(NDIM,NDIM), DFDP(NDIM,*) + + DOUBLE PRECISION E + DOUBLE PRECISION D1 + DOUBLE PRECISION D2 + DOUBLE PRECISION D3 + DOUBLE PRECISION U1 + DOUBLE PRECISION U2 + DOUBLE PRECISION U3 + DOUBLE PRECISION U4 + DOUBLE PRECISION U5 + DOUBLE PRECISION T + + E=PAR(1) + D1=0 + D3=0 + U2=0 + U4=0 + D2=(-1.702+-0.354*E+0.107*E*E)/(0.880+0.126*E+-0.047*E*E) + U1=(-1.000+-0.627+-0.155*E+0.019*E*E)/(0.880+0.126*E+-0.047*E*E) + U3=(1.128+0.547*E+-0.275*E*E)/(0.880+0.126*E+-0.047*E*E) + U5=-(-0.112+1.183*E+-0.357*E*E)/(0.880+0.126*E+-0.047*E*E) + + T=6.283185307179586 + + + F(1)= T*U(2) + F(2)= T*U(3) + F(3)= T*U(4) + F(4)= T*(U1*U(1)+U2*U(1)**2+U3*U(1)**3+U4*U(1)**4+U5*U(1)**5+D1*U(2)+D2*U(3)+D3*U(3)) + + IF(IJAC.EQ.0)RETURN + + END SUBROUTINE FUNC + + SUBROUTINE STPNT(NDIM,U,PAR,T) +! ---------- ----- + + IMPLICIT NONE + INTEGER, INTENT(IN) :: NDIM + DOUBLE PRECISION, INTENT(INOUT) :: U(NDIM),PAR(*) + DOUBLE PRECISION, INTENT(IN) :: T + +!---------------------------------------------------------------------- +! Problem parameters (only PAR(1-9) are available to the user) : + + U(1)=0.0 + U(2)=0.0 + U(3)=0.0 + U(4)=0.0 + PAR(1)=0.0 ! E + +!---------------------------------------------------------------------- +! If IEQUIB >0 put initial equilibrium in PAR(11+i), i=1,...,NDIM : + + PAR(12) = 0.0 + PAR(13) = 0.0 + PAR(14) = 0.0 + PAR(15) = 0.0 + + + END SUBROUTINE STPNT + + SUBROUTINE PVLS(NDIM,U,PAR) +! ---------- ---- + + IMPLICIT NONE + INTEGER, INTENT(IN) :: NDIM + DOUBLE PRECISION, INTENT(IN) :: U(NDIM) + DOUBLE PRECISION, INTENT(INOUT) :: PAR(*) +! Homoclinic bifurcations COMMON block needed here : + COMMON /BLHOM/ ITWIST,ISTART,IEQUIB,NFIXED,NPSI,NUNSTAB,NSTAB,NREV + INTEGER ITWIST,ISTART,IEQUIB,NFIXED,NPSI,NUNSTAB,NSTAB,NREV + INTEGER I + + DOUBLE PRECISION E + DOUBLE PRECISION D1 + DOUBLE PRECISION D2 + DOUBLE PRECISION D3 + DOUBLE PRECISION U1 + DOUBLE PRECISION U2 + DOUBLE PRECISION U3 + DOUBLE PRECISION U4 + DOUBLE PRECISION U5 + + E=PAR(1) + D1=0 + D3=0 + U2=0 + U4=0 + D2=(-1.702+-0.354*E+0.107*E*E)/(0.880+0.126*E+-0.047*E*E) + U1=(-1.000+-0.627+-0.155*E+0.019*E*E)/(0.880+0.126*E+-0.047*E*E) + U3=(1.128+0.547*E+-0.275*E*E)/(0.880+0.126*E+-0.047*E*E) + U5=-(-0.112+1.183*E+-0.357*E*E)/(0.880+0.126*E+-0.047*E*E) + + PAR(2)=D1 + PAR(3)=D2 + PAR(4)=D3 + PAR(5)=U1 + PAR(6)=U2 + PAR(7)=U3 + PAR(8)=U4 + PAR(9)=U5 + +! If IEQUIB =0 put analytic equilibrium in PAR(11+i), i=1..NDIM + + IF(IEQUIB.EQ.0)THEN + DO I=1,NDIM + PAR(11+I)= 0.0 + ENDDO + ENDIF + + END SUBROUTINE PVLS + + !---------------------------------------------------------------------- + SUBROUTINE BCND(NDIM,PAR,ICP,NBC,U0,U1,FB,IJAC,DBC) + ! ---------- ---- + + IMPLICIT NONE + INTEGER, INTENT(IN) :: NDIM,ICP(*),NBC,IJAC + DOUBLE PRECISION, INTENT(IN) :: PAR(*),U0(NDIM),U1(NDIM) + DOUBLE PRECISION, INTENT(OUT) :: FB(NBC) + DOUBLE PRECISION, INTENT(INOUT) :: DBC(NBC,*) + + FB(1)=U0(1) + FB(2)=U1(1) + FB(3)=U0(3) + FB(4)=U1(3) + + END SUBROUTINE BCND + !---------------------------------------------------------------------- + + SUBROUTINE ICND + END SUBROUTINE ICND + + SUBROUTINE FOPT + END SUBROUTINE FOPT diff --git a/examples/17_parameterized_pattern_formation/data/auto/snaking_E_T.f90 b/examples/17_parameterized_pattern_formation/data/auto/snaking_E_T.f90 index 53093f712..5accb25c5 100644 --- a/examples/17_parameterized_pattern_formation/data/auto/snaking_E_T.f90 +++ b/examples/17_parameterized_pattern_formation/data/auto/snaking_E_T.f90 @@ -15,68 +15,35 @@ SUBROUTINE FUNC(NDIM,U,ICP,PAR,IJAC,F,DFDU,DFDP) DOUBLE PRECISION, INTENT(INOUT) :: DFDU(NDIM,NDIM), DFDP(NDIM,*) DOUBLE PRECISION E - DOUBLE PRECISION P - DOUBLE PRECISION R - DOUBLE PRECISION B - DOUBLE PRECISION C - DOUBLE PRECISION DRDE - DOUBLE PRECISION DBDE - DOUBLE PRECISION DCDE + DOUBLE PRECISION D1 + DOUBLE PRECISION D2 + DOUBLE PRECISION D3 + DOUBLE PRECISION U1 + DOUBLE PRECISION U2 + DOUBLE PRECISION U3 + DOUBLE PRECISION U4 + DOUBLE PRECISION U5 DOUBLE PRECISION T E=PAR(1) - P=2 - R=-6.9142484373744839e-01-7.3260087859986806e-02*E-2.7462906764622484e-03*E*E - B=1.7910887544563148e+00-3.0554994266613233e-01*E-2.4878961651300643e-02*E*E - C=7.5841639153560658e-01+5.5761858956235276e-02*E+5.1480291789433611e-03*E*E - DRDE=-7.3260087859986806e-02-2.7462906764622484e-03*E*2 - DBDE=-3.0554994266613233e-01-2.4878961651300643e-02*E*2 - DCDE=5.5761858956235276e-02+5.1480291789433611e-03*E*2 + D1=(0.000+0.000*E+0.000*E*E)/(1.000+0.000*E+0.000*E*E) + D2=(-2.000+0.000*E+0.000*E*E)/(1.000+0.000*E+0.000*E*E) + D3=(0.000+0.000*E+0.000*E*E)/(1.000+0.000*E+0.000*E*E) + U1=(-1.691-0.073*E-0.002*E*E)/(1.000+0.000*E+0.000*E*E) + U2=(0.000+0.000*E+0.000*E*E)/(1.000+0.000*E+0.000*E*E) + U3=(1.791-0.306*E-0.025*E*E)/(1.000+0.000*E+0.000*E*E) + U4=(0.000+0.000*E+0.000*E*E)/(1.000+0.000*E+0.000*E*E) + U5=-(0.758+0.056*E+0.005*E*E)/(1.000+0.000*E+0.000*E*E) T=6.283185307179586 F(1)= T*U(2) F(2)= T*U(3) F(3)= T*U(4) - F(4)= T*(R*U(1)-P*U(3)-U(1)+B*U(1)**3-C*U(1)**5) + F(4)= T*(U1*U(1)+U2*U(1)**2+U3*U(1)**3+U4*U(1)**4+U5*U(1)**5+D1*U(2)+D2*U(3)+D3*U(3)) IF(IJAC.EQ.0)RETURN - DFDU(1,1)=0.0d0 - DFDU(1,2)=1.0d0 - DFDU(1,3)=0.0d0 - DFDU(1,4)=0.0d0 - - DFDU(2,1)=0.0d0 - DFDU(2,2)=0.0d0 - DFDU(2,3)=1.0d0 - DFDU(2,4)=0.0d0 - - DFDU(3,1)=0.0d0 - DFDU(3,2)=0.0d0 - DFDU(3,3)=0.0d0 - DFDU(3,4)=1.0d0 - - F(4)= R*U(1)-P*U(3)-U(1)+B*U(1)**3-C*U(1)**5 - - DFDU(4,1)=R-1.0d0+3.0d0*B*U(1)**2-5.0d0*C*U(1)**4 - DFDU(4,2)=0.0d0 - DFDU(4,3)=-P - DFDU(4,4)=0.0d0 - - IF(IJAC.EQ.1)RETURN - -! *Parameter derivatives - DFDP(1,1)=0.0d0 - DFDP(2,1)=0.0d0 - DFDP(3,1)=0.0d0 - DFDP(4,1)=-U(3) - - DFDP(1,2)=0.0d0 - DFDP(2,2)=0.0d0 - DFDP(3,2)=0.0d0 - DFDP(4,2)=U(1)*DRDE+U(1)**3*DBDE-U(1)**5*DCDE - END SUBROUTINE FUNC SUBROUTINE STPNT(NDIM,U,PAR,T) @@ -120,20 +87,32 @@ SUBROUTINE PVLS(NDIM,U,PAR) INTEGER I DOUBLE PRECISION E - DOUBLE PRECISION P - DOUBLE PRECISION R - DOUBLE PRECISION B - DOUBLE PRECISION C + DOUBLE PRECISION D1 + DOUBLE PRECISION D2 + DOUBLE PRECISION D3 + DOUBLE PRECISION U1 + DOUBLE PRECISION U2 + DOUBLE PRECISION U3 + DOUBLE PRECISION U4 + DOUBLE PRECISION U5 E=PAR(1) - P=2 - R=-6.9142484373744839e-01-7.3260087859986806e-02*E-2.7462906764622484e-03*E*E - B=1.7910887544563148e+00-3.0554994266613233e-01*E-2.4878961651300643e-02*E*E - C=7.5841639153560658e-01+5.5761858956235276e-02*E+5.1480291789433611e-03*E*E - - PAR(2)=R - PAR(3)=B - PAR(4)=C + D1=(0.000+0.000*E+0.000*E*E)/(1.000+0.000*E+0.000*E*E) + D2=(-2.000+0.000*E+0.000*E*E)/(1.000+0.000*E+0.000*E*E) + D3=(0.000+0.000*E+0.000*E*E)/(1.000+0.000*E+0.000*E*E) + U1=(-1.691-0.073*E-0.002*E*E)/(1.000+0.000*E+0.000*E*E) + U2=(0.000+0.000*E+0.000*E*E)/(1.000+0.000*E+0.000*E*E) + U3=(1.791-0.306*E-0.025*E*E)/(1.000+0.000*E+0.000*E*E) + U4=(0.000+0.000*E+0.000*E*E)/(1.000+0.000*E+0.000*E*E) + U5=-(0.758+0.056*E+0.005*E*E)/(1.000+0.000*E+0.000*E*E) + PAR(2)=D1 + PAR(3)=D2 + PAR(4)=D3 + PAR(5)=U1 + PAR(6)=U2 + PAR(7)=U3 + PAR(8)=U4 + PAR(9)=U5 ! If IEQUIB =0 put analytic equilibrium in PAR(11+i), i=1..NDIM diff --git a/examples/17_parameterized_pattern_formation/data/auto/stability.py b/examples/17_parameterized_pattern_formation/data/auto/stability.py index 3cc35d515..003da6274 100644 --- a/examples/17_parameterized_pattern_formation/data/auto/stability.py +++ b/examples/17_parameterized_pattern_formation/data/auto/stability.py @@ -4,76 +4,77 @@ import pysindy as ps -for filebase in ["odd", "even", "periodic"]: +for filebase in [ + "odd", + "even", + "periodic", + "odd2", + "even2", + "periodic2", + "odd3", + "even3", + "periodic3", + "odd4", + "even4", + "periodic4", + "odd5", + "even5", + "periodic5", +]: sols = np.load(filebase + "_sols.npy") pars = np.load(filebase + "_pars.npy") if not os.path.exists(filebase + "/"): os.mkdir(filebase) + else: + os.system("rm -r " + filebase) + os.mkdir(filebase) evals = [] evecs = [] + print() for i in range(len(sols)): - print(filebase, i, end="\r") + print(filebase, i, len(sols), end="\r") t, u = sols[i].T - epsilon, r, b3, b5, T, norm = pars[i] + epsilon, d1, d2, d3, b1, b2, b3, b4, b5, T, norm = pars[i] u = u[::4] t = t[::4] t = T * t u = np.concatenate([u, -np.flip(u)[1:]]) t = np.concatenate([t, t[-1] + np.cumsum(np.flip(np.diff(t)))]) - fd = ps.FiniteDifference(d=2, axis=0, order=4, periodic=True) - interior_coeffs = fd._coefficients(t) - interior_inds = fd.stencil_inds - slice_interior = slice((fd.n_stencil - 1) // 2, -(fd.n_stencil - 1) // 2) - slice_boundary = np.concatenate( - [ - np.arange(0, (fd.n_stencil - 1) // 2), - -np.flip(1 + np.arange(1, (fd.n_stencil - 1) // 2)), - np.array([-1]), - ] - ) - boundary_coeffs = fd._coefficients_boundary_periodic(t) - boundary_inds = fd.stencil_inds - - dxx = np.zeros((len(t), len(t))) - for i in range(len(interior_inds)): - dxx[slice_interior][ - np.arange(len(interior_inds[i])), interior_inds[i] - ] = interior_coeffs[:, i].T - for i in range(len(boundary_inds)): - dxx[slice_boundary][ - np.arange(len(boundary_inds[i])), boundary_inds[i] - ] = boundary_coeffs[:, i].T - - fd = ps.FiniteDifference(d=4, axis=0, order=4, periodic=True) - interior_coeffs = fd._coefficients(t) - interior_inds = fd.stencil_inds - slice_interior = slice((fd.n_stencil - 1) // 2, -(fd.n_stencil - 1) // 2) - slice_boundary = np.concatenate( - [ - np.arange(0, (fd.n_stencil - 1) // 2), - -np.flip(1 + np.arange(1, (fd.n_stencil - 1) // 2)), - np.array([-1]), - ] - ) - boundary_coeffs = fd._coefficients_boundary_periodic(t) - boundary_inds = fd.stencil_inds + ds = [1, 2, 3, 4] + dx = np.zeros((len(ds), len(t), len(t))) + for k in range(len(ds)): + fd = ps.FiniteDifference(d=ds[k], axis=0, order=8, periodic=True) + interior_coeffs = fd._coefficients(t) + interior_inds = fd.stencil_inds + slice_interior = slice((fd.n_stencil - 1) // 2, -(fd.n_stencil - 1) // 2) + slice_boundary = np.concatenate( + [ + np.arange(0, (fd.n_stencil - 1) // 2), + -np.flip(1 + np.arange(1, (fd.n_stencil - 1) // 2)), + np.array([-1]), + ] + ) + boundary_coeffs = fd._coefficients_boundary_periodic(t) + boundary_inds = fd.stencil_inds - dxxxx = np.zeros((len(t), len(t))) - for i in range(len(interior_inds)): - dxxxx[slice_interior][ - np.arange(len(interior_inds[i])), interior_inds[i] - ] = interior_coeffs[:, i].T - for i in range(len(boundary_inds)): - dxxxx[slice_boundary][ - np.arange(len(boundary_inds[i])), boundary_inds[i] - ] = boundary_coeffs[:, i].T + for i in range(len(interior_inds)): + dx[k][slice_interior][ + np.arange(len(interior_inds[i])), interior_inds[i] + ] = interior_coeffs[:, i].T + for i in range(len(boundary_inds)): + dx[k][slice_boundary][ + np.arange(len(boundary_inds[i])), boundary_inds[i] + ] = boundary_coeffs[:, i].T vals, vecs = np.linalg.eig( - (r - 1 + 3 * b3 * u**2 - 5 * b5 * u**4) * np.eye(len(t)) - - dxxxx - - 2 * dxx + (b1 + 2 * b2 * u + 3 * b3 * u**2 + 4 * b4 * u**3 + 5 * b5 * u**4) + * np.eye(len(t)) + + d1 * dx[0] + + d2 * dx[1] + + d3 * dx[2] + - dx[3] ) evals = evals + [vals] evecs = evecs + [vecs] @@ -88,7 +89,7 @@ np.real( np.array(evals)[tuple([np.arange(len(evals))[:, np.newaxis], inds2])] ) - < 1e-1, + < 1e-2, axis=1, ) )[0] @@ -97,7 +98,7 @@ np.real( np.array(evals)[tuple([np.arange(len(evals))[:, np.newaxis], inds2])] ) - > 1e-1, + > 1e-2, axis=1, ) )[0] diff --git a/examples/17_parameterized_pattern_formation/example.py b/examples/17_parameterized_pattern_formation/example.py index 3be7a3343..f8d97e53e 100644 --- a/examples/17_parameterized_pattern_formation/example.py +++ b/examples/17_parameterized_pattern_formation/example.py @@ -5,18 +5,33 @@ # # Model pattern formation equations typically encode the effects of external drive through a number of driving parameters, which characterize a bifurcation leading to the onset of instability. While driving parameters can be considered as constant control signals for spatiotemporal dynamics, combining the PDEFIND and SINDYc approaches to discover parameterized spatiotemporal dynamics poses a significant challenge. # Here, we develop the system identification for nonlinear dynamics with control parameters (SINDyCP) approach to discover such parameterized dynamics. -# In[1]: -import matplotlib.pyplot as plt +# +# [![Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/dynamicslab/pysindy/v1.7.3?filepath=examples/17_parameterized_pattern_formation/parameterized_pattern_formation.ipynb) +# In[2]: +import os +import timeit -plt.ion() -import pysindy as ps +import matplotlib.pyplot as plt import numpy as np +import utils from scipy.integrate import solve_ivp -from scipy.interpolate import interp1d from scipy.signal import find_peaks -import timeit -import os -import utils +from scipy.stats import linregress + +import pysindy as ps + +colors = [ + "#ff7f0e", + "#2ca02c", + "#1f77b4", + "#d62728", + "#9467bd", + "#8c564b", + "#e377c2", + "#7f7f7f", + "#bcbd22", + "#17becf", +] # ### Fit a parameterized logistic map @@ -196,12 +211,19 @@ print(lib.get_feature_names(["x", "y", "z", "sigma", "rho", "beta"])) +# In[46]: + + +if __name__ == "testing": + quit() + + # ### Fit a parameterized complex Ginzburg-Landau equation # The complex Ginzburg-Landau equation # $$ \dot{A} = A + (1+ib)\nabla^2 A - (1-ic)|A|^2A$$ # describes the evolution of the mode amplitude $A$ for pattern formation in a long-wavelength, supercritical Hopf bifurcation. It depends on two parameters $b$ and $c$. We generate 4 trajectories with different values of the parameters. (Note: this will take a few minutes on the first run, but trajectories are saved and reloaded if present) -# In[31]: +# In[9]: nx = 128 @@ -209,11 +231,6 @@ L = 16 t1 = 2e2 t3 = 1.9e2 -if __name__ == "testing": - t1 = 1e0 - t3 = 0 - nx = 32 - ny = 32 dt = 1e-1 nt = int((t1 - t3) / dt) @@ -225,7 +242,7 @@ spatiotemporal_grid[:, :, :, 2] = dt * np.arange(nt) -# In[32]: +# In[10]: bs = [2.0, 2.0, 0.5, 1.0] @@ -234,10 +251,7 @@ scales2 = [1e-2, 1e-2, 1e0, 1e-2] us = [[bs[i], cs[i]] for i in range(len(bs))] -if ( - np.all([os.path.exists("data/cgle/cgle_x" + str(i) + ".npy") for i in range(4)]) - and __name__ != "testing" -): +if np.all([os.path.exists("data/cgle/cgle_x" + str(i) + ".npy") for i in range(4)]): xs = [np.load("data/cgle/cgle_x" + str(i) + ".npy") for i in range(4)] else: xs = [] @@ -249,11 +263,10 @@ x0 = utils.get_cgle_ic(scale0, scale2, spatial_grid) x = utils.get_cgle_trajectory(b, c, x0, t1, t3, dt, spatial_grid) xs = xs + [x] - if __name__ != "testing": - for i in range(len(xs)): - if not os.path.exists("data/cgle"): - os.mkdir("data/cgle") - np.save("data/cgle/cgle_x" + str(i), xs[i]) + for i in range(len(xs)): + if not os.path.exists("data/cgle"): + os.mkdir("data/cgle") + np.save("data/cgle/cgle_x" + str(i), xs[i]) # utils.animate_clge(xs,us) @@ -491,7 +504,7 @@ # # which constitute the classical Oregonator model for the BZ chemical reaction. We fix all parameters except $C_b=C_b^c(1 - \mu)$, and a supercritical Hopf bifurcation occurs at $\mu=0$. In the spatially homogeneous case, a small, stable limit cycle initially emerges for $\mu>0$, but this limit cycle rapid expands in a canard explosion around $\mu\approx 0.15$. -# In[2]: +# In[3]: bs3 = np.linspace(0.84, 0.98, 8) @@ -501,8 +514,6 @@ Zs = [] for b in bs3: t1 = 1e2 / (1 - b) # Domain size in t directions - if __name__ == "testing": - t1 = 1e1 / (1 - b) dt = 5.94804 / 100 X, Y, Z = utils.get_homogeneous_oregonator_trajectory(b, t1, dt) @@ -530,87 +541,218 @@ plt.show() -# Integrate six trajectories with varying bs. This will take several hours to generate and save the data for the first time, but it will reload the files if they are present from a previous run. +# Generate several trajectories. This will take several hours on the first run, but files will be saved and reloaded subsequently. + +# In[44]: + + +import importlib as imp + +imp.reload(utils) + + +# In[47]: + + +utils.generate_oregonator_trajectories() + + +# Plot a finely resolved trajectory above the canard explosion, with $\mu=0.16$. The dynamics exhibit more extreme spatiotemporal variations than exhibited by the CGLE. # In[48]: -bs = np.linspace(0.88, 0.98, 6) -n = 128 # Number of spatial points in each direction -Nt = 1000 # Number of temporal interpolation points +plt.figure(figsize=(3, 4)) +x = np.load("data/oregonator/canard_0.npy") +plt.imshow(x[:, :, -1, 0]) +plt.clim(2e-6, 8e-6) +plt.xticks([]) +plt.yticks([]) +plt.savefig("fig2c.pdf") +plt.show() +plt.figure(figsize=(3, 4)) +x = np.load("data/oregonator/canard_1.npy") +plt.imshow(x[:, :, -1, 0]) +plt.clim(2e-6, 8e-6) +plt.xticks([]) +plt.yticks([]) +plt.savefig("fig2d.pdf") +plt.show() +# utils.animate_oregonator() -if __name__ == "testing": - Nt = 100 - n = 32 -X0, Y0, Z0 = utils.get_oregonator_ic(2e-1, 0, spatial_grid) -u0 = np.concatenate([X0.ravel(), Y0.ravel(), Z0.ravel()]) +# Do a SINDyCP fit on unprocessed decaying trajectories to localize the Hopf point -if not os.path.exists("data/oregonator"): - os.mkdir("data/oregonator") -if not np.all( - [ - os.path.exists("data/oregonator/oregonator_" + str(i) + ".npy") - for i in range(len(bs)) +# In[13]: + + +bs = np.concatenate([np.linspace(1.05, 1.1, 6), np.linspace(0.95, 0.99, 5)]) +b0 = 0.95 +L = 1 / np.abs(1 - b0) ** 0.5 # Domain size in X and Y directions +spatial_grid = np.zeros((n, n, 2)) +spatial_grid[:, :, 0] = L / n * np.arange(n)[:, np.newaxis] +spatial_grid[:, :, 1] = L / n * np.arange(n)[np.newaxis, :] +t1 = 2e1 / np.abs(1 - b0) # Domain size in t directions +dt = 5.94804 / 10 +n = 128 + +xs = [np.load("data/oregonator/oregonator2_" + str(i) + ".npy") for i in range(len(bs))] +xs_train = [] +xs_test = [] +scales = [] + +us = (0.786642 * bs).tolist() +x0s = [] +Nt = 200 +for i in range(len(bs)): + x0 = np.mean(xs[i][:, :, -100:], axis=(0, 1, 2)) + x0s = x0s + [x0] + scale = x0 + xs_train = xs_train + [ + (xs[i][:, :, Nt : 2 * Nt, [0, 2]] - x0[[0, 2]]) / scale[[0, 2]] + ] + xs_test = xs_train + [ + (xs[i][:, :, 2 * Nt : 3 * Nt, [0, 2]] - x0[[0, 2]]) / scale[[0, 2]] ] -): - for j in range(len(bs)): - if not os.path.exists("data/oregonator/oregonator_" + str(j) + ".npy"): - b = bs[j] - print(j, b) - L = 1 / (1 - b) ** 0.5 # Domain size in X and Y directions - spatial_grid = np.zeros((n, n, 2)) - spatial_grid[:, :, 0] = L / n * np.arange(n)[:, np.newaxis] - spatial_grid[:, :, 1] = L / n * np.arange(n)[np.newaxis, :] - t1 = 1e3 / (1 - b) # Domain size in t directions - if __name__ == "testing": - t1 = 20 - dt = 5.94804 - - start = timeit.default_timer() - - X, Y, Z = utils.get_oregonator_trajectory(u0, b, t1, dt, spatial_grid) - - x = np.array([X, Y, Z]).transpose(1, 2, 3, 0) - fi = interp1d(np.arange(x.shape[2]), x, axis=2) - x = fi(np.arange(Nt) / (Nt - 1) * (x.shape[2] - 1)) - plt.plot(np.mean(x[:, :, :, 0], axis=(0, 1))) - plt.plot(np.mean(x[:, :, :, 2], axis=(0, 1))) - plt.show() - plt.imshow(x[:, :, -1, 0]) - plt.show() - - np.save("data/oregonator/oregonator_" + str(j), x) - stop = timeit.default_timer() - print(stop - start) - -xs = [np.load("data/oregonator/oregonator_" + str(i) + ".npy") for i in range(len(bs))] - - -# The SINDyCP fit reveals variations in the normal-form parameter that correct the weakly-nonlinear theory away from the instability, and these variations become extreme at the canard explosion. First, split the trajectories into training and test data and define a quadrative parameter and a quintic feature libraries. + scales = scales + [scale] + +library_functions = [ + lambda x: x, +] +function_names = [ + lambda x: x, +] + +feature_lib = ps.PDELibrary( + library_functions=library_functions, + derivative_order=2, + spatial_grid=spatial_grid, + include_interaction=False, + include_bias=True, + function_names=function_names, + differentiation_method=ps.SpectralDerivative, + multiindices=[], +) + +library_functions = [lambda x: x] +function_names = [lambda x: x] + +parameter_lib = ps.PDELibrary( + library_functions=library_functions, + derivative_order=0, + include_interaction=False, + function_names=function_names, + include_bias=True, +) +lib = ps.ParameterizedLibrary( + parameter_library=parameter_lib, + feature_library=feature_lib, + num_parameters=1, + num_features=2, +) + +opt = ps.STLSQ(threshold=1e-2, alpha=1e-12, normalize_columns=False) + +model = ps.SINDy(feature_library=lib, optimizer=opt, feature_names=["X", "Z", "C_B"]) + +start = timeit.default_timer() +model.fit(xs_train[:6], u=us[:6], t=dt, multiple_trajectories=True) +model.print() +stop = timeit.default_timer() +print(stop - start) +scores = [] +for i in range(len(us)): + scores = scores + [ + model.score( + xs_test[i], + u=us[i], + t=dt, + multioutput="raw_values", + multiple_trajectories=False, + ) + ] + +plt.subplots(2, 2, figsize=(10, 6)) + +plt.subplot(2, 2, 1) +for x in xs_train[:6]: + plt.plot(dt * np.arange(200), np.mean(x[:, :, :, 0], axis=(0, 1))) +plt.ylabel(r"$\langle \tilde{X} \rangle$") +locs, labels = plt.xticks() +plt.xticks(locs, []) +plt.xlim(-5, 205 * dt) + +plt.subplot(2, 2, 3) +for x in xs_train[:6]: + plt.plot(dt * np.arange(200), np.mean(x[:, :, :, 1], axis=(0, 1))) +plt.xlim(-5, 205 * dt) + +plt.xlabel("t") +plt.ylabel(r"$\langle \tilde{Y} \rangle$") + +plt.subplot(2, 2, 2) +plt.scatter(0.786642 * bs[:6], 1 - np.mean(scores[:6], axis=1)) +plt.scatter(0.786642 * bs[6:], 1 - np.mean(scores[6:], axis=1)) +plt.yscale("log") +plt.ylabel(r"$1-R^2$") +locs, labels = plt.xticks() +plt.xticks(locs, []) + +plt.xlim(0.73, 0.88) + + +plt.subplot(2, 2, 4) +bs2 = np.flip(np.linspace(0.92, 1.15, 1000)) +lambdas, J = utils.get_linear_eigenvalues(model, 0.786642 * bs2, printcoefs=True) +plt.plot(0.786642 * bs2, np.real(lambdas)[:, 0]) +plt.plot(0.786642 * bs2, 0 * np.real(lambdas)[:, 0], c="black", ls=":") +plt.xlabel(r"$C_B$") +plt.ylabel(r"$Re(\lambda)$") +plt.xlim(0.73, 0.88) +plt.tight_layout() +plt.savefig("figs3.pdf") +plt.show() + + +# Construct the amplitude from the same data and attempt a SINDyCP fit + +# In[16]: -# In[14]: +bs = np.concatenate([np.linspace(1.05, 1.1, 6), np.linspace(0.95, 0.99, 5)]) +n = 128 xs_train = [] xs_test = [] -us = ((1 - bs) ** 0.5).tolist() +scales = [] +us = (1 - bs).tolist() +x0s = [] +Nt = xs[0].shape[2] // 5 // 10 * 10 for i in range(len(bs)): - U = xs[i][:, :, 2 * Nt // 5 :, [0, 2]] - U = U - np.mean(U, axis=(0, 1, 2)) - U = U / np.mean(U**2, axis=(0, 1, 2)) ** 0.5 - xs_train = xs_train + [U[:, :, : Nt // 20]] - xs_test = xs_test + [U[:, :, -Nt // 20 :]] - # #Using more data for a better fit requires a lot of memory (>100gb) - # xs_train=xs_train+[U[:,:,:2*Nt//5]] - # xs_test=xs_test+[U[:,:,2*Nt//5:]] - -# rescale to a single time step and spatial_grid over all trajectories + x = np.load("data/oregonator/oregonator2_" + str(i) + ".npy") + Nt = 10 + x0 = np.mean(x[:, :, -Nt:, [0, 2]], axis=(0, 1, 2)) + U = (x[:, :, Nt:, [0, 2]] - x0) / x0 + nt = U.shape[2] // 10 * 10 + A = np.mean( + ( + (U[:, :, :, 0] + 1j * U[:, :, :, 1]) + * np.exp(-1j * 2 * np.pi / 10 * np.arange(U.shape[2])) + )[:, :, :nt].reshape(n, n, nt // 10, 10), + axis=3, + ) + x_train = np.array([np.real(A), np.imag(A)]).transpose(1, 2, 3, 0)[:, :, : nt // 10] + x_test = np.array([np.real(A), np.imag(A)]).transpose(1, 2, 3, 0)[ + :, :, nt // 10 // 2 : + ] + xs_train = xs_train + [x_train] + xs_test = xs_test + [x_test] + +L = 2e2 # Domain size in X and Y directions spatial_grid = np.zeros((n, n, 2)) -spatial_grid[:, :, 0] = 2 * np.arange(n)[:, np.newaxis] -spatial_grid[:, :, 1] = 2 * np.arange(n)[np.newaxis, :] -nt = xs_train[0].shape[2] -dt = 1e2 / nt +spatial_grid[:, :, 0] = L / n * np.arange(n)[:, np.newaxis] +spatial_grid[:, :, 1] = L / n * np.arange(n)[np.newaxis, :] +dt = 1e-1 library_functions = [ lambda x: x, @@ -619,15 +761,6 @@ lambda x: x**3, lambda x, y: x**2 * y, lambda x, y: y**2 * x, - lambda x: x**4, - lambda x, y: x**3 * y, - lambda x, y: x**2 * y**2, - lambda x, y: x * y**3, - lambda x: x**5, - lambda x, y: x**4 * y, - lambda x, y: x**3 * y**2, - lambda x, y: x**2 * y**3, - lambda x, y: x * y**4, ] function_names = [ lambda x: x, @@ -636,30 +769,19 @@ lambda x: x + x + x, lambda x, y: x + x + y, lambda x, y: x + y + y, - lambda x: x + x + x + x, - lambda x, y: x + x + x + y, - lambda x, y: x + x + y + y, - lambda x, y: x + y + y + y, - lambda x: x + x + x + x + x, - lambda x, y: x + x + x + x + y, - lambda x, y: x + x + x + y + y, - lambda x, y: x + x + y + y + y, - lambda x, y: x + y + y + y + y, ] + feature_lib = ps.PDELibrary( library_functions=library_functions, derivative_order=2, spatial_grid=spatial_grid, - temporal_grid=dt * np.arange(nt), include_interaction=False, - implicit_terms=True, + include_bias=True, function_names=function_names, differentiation_method=ps.SpectralDerivative, ) -feature_lib.multiindices = np.array([[0, 0, 1], [0, 2, 0], [2, 0, 0]]) -feature_lib.num_derivatives = len(feature_lib.multiindices) -library_functions = [lambda x: x, lambda x: x**2] +library_functions = [lambda x: np.abs(x) ** 0.5, lambda x: x] function_names = [lambda x: x, lambda x: x + x] parameter_lib = ps.PDELibrary( @@ -676,81 +798,17 @@ num_features=2, ) +opt = ps.STLSQ(threshold=1e-1, alpha=1e-12, normalize_columns=False) -# We run the fit with a constrained SR3 optimizer, which allows us to ensure that the derivative terms remain rotationally invariant. Then we evaluate the scores on the test data. - -# In[15]: - - -shape = np.array(xs_train[0].shape) -shape[-1] = 1 -lib.fit(np.concatenate([xs_train[0], us[0] * np.ones(shape)], axis=-1)) - -n_targets = 2 -num_mus = 1 + len(library_functions) -constraint_rhs = np.zeros(4 * num_mus) -n_features = len(lib.get_feature_names()) -constraint_lhs = np.zeros((4 * num_mus, n_targets * n_features)) -x11inds = np.where( - np.array([name.split(" ")[1] for name in lib.get_feature_names()]) == "x0_11" -)[0] -x22inds = np.where( - np.array([name.split(" ")[1] for name in lib.get_feature_names()]) == "x0_22" -)[0] -y11inds = np.where( - np.array([name.split(" ")[1] for name in lib.get_feature_names()]) == "x1_11" -)[0] -y22inds = np.where( - np.array([name.split(" ")[1] for name in lib.get_feature_names()]) == "x1_22" -)[0] - -constraint = 0 -for i in range(num_mus): - constraint_lhs[constraint, x11inds[i]] = 1 - constraint_lhs[constraint, x22inds[i]] = -1 - constraint = constraint + 1 - constraint_lhs[constraint, x11inds[i] + n_features] = 1 - constraint_lhs[constraint, x22inds[i] + n_features] = -1 - constraint = constraint + 1 - - constraint_lhs[constraint, y11inds[i]] = 1 - constraint_lhs[constraint, y22inds[i]] = -1 - constraint = constraint + 1 - constraint_lhs[constraint, y11inds[i] + n_features] = 1 - constraint_lhs[constraint, y22inds[i] + n_features] = -1 - constraint = constraint + 1 - -opt = ps.ConstrainedSR3( - constraint_rhs=constraint_rhs, - constraint_lhs=constraint_lhs, - thresholder="l1", - tol=1e-3, - threshold=1e-2, -) -if __name__ == "testing": - opt = ps.ConstrainedSR3( - constraint_rhs=constraint_rhs, - constraint_lhs=constraint_lhs, - thresholder="l1", - tol=1e-3, - threshold=1e-6, - ) - -model = ps.SINDy(feature_library=lib, optimizer=opt, feature_names=["X", "Y", "mu"]) +model = ps.SINDy(feature_library=lib, optimizer=opt, feature_names=["X", "Z", "mu"]) start = timeit.default_timer() -model.fit(xs_train, u=us, t=dt, multiple_trajectories=True) +model.fit(xs_train[:6], u=us[:6], t=dt, multiple_trajectories=True) model.print() stop = timeit.default_timer() print(stop - start) -print( - model.score( - xs_test, u=us, t=dt, multioutput="raw_values", multiple_trajectories=True - ) -) - scores = [] -for i in range(len(xs_train)): +for i in range(len(us)): scores = scores + [ model.score( xs_test[i], @@ -761,142 +819,338 @@ ) ] +bs2 = np.linspace(0.9, 1.1, 1000) +alphas, betas = utils.get_normal_form_parameters(model, 1 - bs2, printcoefs=True) -# Plot the normal-form parameters as a function of $\varepsilon$. The fit agrees with the weakly nonlinear prediction in the $\mu\to 0$ limit, and the variation with $\mu$ represents a correction to the theory. The variations become extreme around the canard explosion that occurs above $\mu^{1/2}=0.35$. +plt.subplots(2, 2, figsize=(10, 6)) -# In[29]: +plt.subplot(2, 2, 1) +for x in xs_train[:6]: + plt.plot(5.94804 * np.arange(x.shape[2]), np.mean(x[:, :, :, 0], axis=(0, 1))) +plt.ylabel(r"$\langle X \rangle$") +locs, labels = plt.xticks() +plt.xticks(locs, []) +plt.xlim(0, 650 * 5.94804 / 10) -bs2 = np.linspace(0.85, 0.995, 1000) -alphas, betas = utils.get_normal_form_parameters(model, bs2) +plt.subplot(2, 2, 3) +for x in xs_train[:6]: + plt.plot(5.94804 * np.arange(x.shape[2]), np.mean(x[:, :, :, 1], axis=(0, 1))) +plt.xlim(0, 650 * 5.94804 / 10) -plt.subplots(2, 1, figsize=(5, 4)) +plt.xlabel("t") +plt.ylabel(r"$\langle Y \rangle$") -plt.subplot(2, 1, 1) -plt.scatter((1 - bs) ** 0.5, 1 - np.mean(scores, axis=1)) -plt.ylabel("$1-R^2$") -plt.gca().set_xticks([0.1, 0.15, 0.2, 0.25, 0.3, 0.35]) -plt.gca().set_xticklabels([]) -plt.xlim((1 - bs2[-1]) ** 0.5, (1 - bs2[0]) ** 0.5) +plt.subplot(2, 2, 2) +plt.scatter((1 - bs)[:6], 1 - np.mean(scores[:6], axis=1)) +plt.scatter((1 - bs)[6:], 1 - np.mean(scores[6:], axis=1)) plt.yscale("log") - -plt.subplot(2, 1, 2) -plt.plot((1 - bs2) ** 0.5, betas / (0.17272), label=r"$b/b_0$") -plt.plot((1 - bs2) ** 0.5, alphas / (2.37882), label=r"$c/c_0$") -plt.gca().set_xticks([0.1, 0.15, 0.2, 0.25, 0.3, 0.35]) -plt.ylim(0, 5) +plt.yscale("log") +plt.ylabel(r"$1-R^2$") +plt.xlim(-0.125, 0.125) +locs, labels = plt.xticks() +plt.xticks(locs, []) +plt.xlim(-0.125, 0.125) + +plt.subplot(2, 2, 4) +bs2 = np.linspace(0.875, 1.125, 1000) +alphas, betas = utils.get_normal_form_parameters(model, 1 - bs2) +plt.plot((1 - bs2), np.sign(1 - bs2) * (betas / (0.17272)), label=r"$b/b_0$") +plt.plot((1 - bs2), np.sign(1 - bs2) * (alphas / (2.37882)), label=r"$c/c_0$") +plt.ylim(0, 3) +# plt.yscale('log') plt.legend() plt.ylabel("Normal-form\nparameters") -plt.xlabel(r"$\mu^{1/2}$") -plt.xlim((1 - bs2[-1]) ** 0.5, (1 - bs2[0]) ** 0.5) -plt.savefig("fig2.pdf") -plt.show() - +plt.xlabel(r"$\mu$") +plt.xlim(-0.125, 0.125) -# Calculate a finely resolved trajectory above the canard explosion, with $\mu=0.16$. The dynamics exhibit more extreme spatiotemporal variations than exhibited by the CGLE. - -# In[11]: +plt.tight_layout() +plt.savefig("figs4.pdf") +plt.show() -bs = [0.84] -n = 256 # Number of spatial points in each direction -Nt = 200 # Number of temporal interpolation points +# Do the SINDyCP fit on more informative amplitudes constructed past the Hopf bifurcation, with implicit terms included. The SINDyCP fit reveals variations in the normal-form parameter that correct the weakly-nonlinear theory away from the instability, and these variations become extreme at the canard explosion. First, split the trajectories into training and test data and define a quadrative parameter and a quintic feature libraries. Plot the normal-form parameters as a function of $\varepsilon$. The fit agrees with the weakly nonlinear prediction in the $\mu\to 0$ limit, and the variation with $\mu$ represents a correction to the theory. The variations become extreme around the canard explosion that occurs above $\mu^{1/2}=0.35$. -if __name__ == "testing": - Nt = 20 - n = 64 +# In[10]: -if not os.path.exists("data/oregonator"): - os.mkdir("data/oregonator") -if not np.all( - [ - os.path.exists("data/oregonator/canard_" + str(i) + ".npy") - for i in range(len(bs)) - ] -): - for j in range(len(bs)): - if not os.path.exists("data/oregonator/canard_" + str(j) + ".npy"): - b = bs[j] - print(j, b) - L = 1 / (1 - b) ** 0.5 # Domain size in X and Y directions - spatial_grid = np.zeros((n, n, 2)) - spatial_grid[:, :, 0] = L / n * np.arange(n)[:, np.newaxis] - spatial_grid[:, :, 1] = L / n * np.arange(n)[np.newaxis, :] - t1 = 2e2 / (1 - b) # Domain size in t directions - if __name__ == "testing": - t1 = 20 - dt = 5.94804 - X0, Y0, Z0 = utils.get_oregonator_ic(2e-1, 0, spatial_grid) - u0 = np.concatenate([X0.ravel(), Y0.ravel(), Z0.ravel()]) - - start = timeit.default_timer() - - X, Y, Z = utils.get_oregonator_trajectory(u0, b, t1, dt, spatial_grid) - - x = np.array([X, Y, Z]).transpose(1, 2, 3, 0) - fi = interp1d(np.arange(x.shape[2]), x, axis=2) - x = fi(np.arange(Nt) / (Nt - 1) * (x.shape[2] - 1)) - plt.plot(np.mean(x[:, :, :, 0], axis=(0, 1))) - plt.plot(np.mean(x[:, :, :, 2], axis=(0, 1))) - plt.show() - plt.imshow(x[:, :, -1, 0]) - plt.show() - - np.save("data/oregonator/canard_" + str(j), x) - stop = timeit.default_timer() - print(stop - start) +bs = np.linspace(0.88, 0.98, 6) +n = 128 # Number of spatial points in each direction -# In[12]: +xs_train = [] +xs_test = [] +scales = [] +for j in range(len(bs)): + A = np.load("data/oregonator/oregonator_" + str(j) + ".npy") + scale = np.mean(np.abs(A) ** 2) ** 0.5 + scales = scales + [scale] + xsi = np.array([np.real(A) / scale, np.imag(A) / scale]).transpose([1, 2, 3, 0]) + xs_train = xs_train + [xsi[:, :, :250]] + xs_test = xs_test + [xsi[:, :, 250:]] +us = (1 - bs).tolist() +L = 2e2 # Domain size in X and Y directions +spatial_grid = np.zeros((n, n, 2)) +spatial_grid[:, :, 0] = L / n * np.arange(n)[:, np.newaxis] +spatial_grid[:, :, 1] = L / n * np.arange(n)[np.newaxis, :] +dt = 1e-1 +library_functions = [ + lambda x: x, + lambda x: x**2, + lambda x, y: x * y, + lambda x: x**3, + lambda x, y: x**2 * y, + lambda x, y: y**2 * x, +] +function_names = [ + lambda x: x, + lambda x: x + x, + lambda x, y: x + y, + lambda x: x + x + x, + lambda x, y: x + x + y, + lambda x, y: x + y + y, +] -plt.figure(figsize=(3, 4)) -x = np.load("data/oregonator/canard_0.npy") -plt.imshow(x[:, :, -1, 0]) -plt.clim(2e-6, 8e-6) -plt.xticks([]) -plt.yticks([]) -plt.savefig("fig2c.pdf") -plt.show() -plt.figure(figsize=(3, 4)) -x = np.load("data/oregonator/oregonator_4.npy") -plt.imshow(x[:, :, -1, 0]) -plt.clim(2e-6, 8e-6) -plt.xticks([]) -plt.yticks([]) -plt.savefig("fig2d.pdf") -plt.show() -# utils.animate_oregonator() +feature_lib0 = ps.PDELibrary( + library_functions=library_functions, + derivative_order=2, + spatial_grid=spatial_grid, + include_interaction=False, + include_bias=True, + function_names=function_names, + differentiation_method=ps.SpectralDerivative, +) +opt0 = ps.STLSQ(threshold=1e-1, alpha=1e-12, normalize_columns=False) -# ### Effects of noise on CGLE fits +model0 = ps.SINDy( + feature_library=feature_lib0, optimizer=opt0, feature_names=["X", "Y"] +) -# Here we perform both differential and weak SINDyCP fits on the four previous trajectories with various intensities of injected noise. We generate two new test trajectories to assess the performance of the fits. We also generate five new training trajectories with random parameter values in the amplitude turbulence parameter regime and perform the SINDyCP fits on noisy data with a varying number of length of trajectories. Since these fits take a while, we use previously saved score results here if they are present. +start = timeit.default_timer() +model0.fit(xs_train[-1], t=dt, multiple_trajectories=False) +model0.print() +stop = timeit.default_timer() +print(stop - start) +utils.get_single_normal_form_parameters(model0, printcoefs=True) -# In[30]: +scores0 = [] +for i in range(len(us)): + scores0 = scores0 + [ + model0.score( + xs_test[i], + u=us[i], + t=dt, + multioutput="raw_values", + multiple_trajectories=False, + ) + ] -utils.cgle_weak_noise_sweeps() -utils.cgle_noise_sweeps() +feature_lib = ps.PDELibrary( + library_functions=library_functions, + derivative_order=2, + spatial_grid=spatial_grid, + temporal_grid=dt * np.arange(500), + include_interaction=False, + implicit_terms=True, + include_bias=True, + function_names=function_names, + differentiation_method=ps.SpectralDerivative, + multiindices=[[0, 0, 1], [1, 0, 0], [0, 1, 0], [1, 1, 0], [0, 2, 0], [2, 0, 0]], +) +library_functions = [lambda x: np.abs(x) ** 0.5, lambda x: x] +function_names = [lambda x: x, lambda x: x + x] -# Plot results +parameter_lib = ps.PDELibrary( + library_functions=library_functions, + derivative_order=0, + include_interaction=False, + function_names=function_names, + include_bias=True, +) +lib = ps.ParameterizedLibrary( + parameter_library=parameter_lib, + feature_library=feature_lib, + num_parameters=1, + num_features=2, +) -# In[3]: +opt = ps.STLSQ(threshold=1e-1, alpha=1e-12, normalize_columns=False) +model = ps.SINDy(feature_library=lib, optimizer=opt, feature_names=["X", "Y", "mu"]) +start = timeit.default_timer() +model.fit(xs_train, u=us, t=dt, multiple_trajectories=True) +model.print() +stop = timeit.default_timer() +print(stop - start) + +scores = [] +for i in range(len(us)): + scores = scores + [ + model.score( + xs_test[i], + u=us[i], + t=dt, + multioutput="raw_values", + multiple_trajectories=False, + ) + ] + +bs2 = np.linspace(0.82, 0.995, 1000) +alphas, betas = utils.get_normal_form_parameters(model, 1 - bs2, printcoefs=True) + +plt.subplots(2, 1, figsize=(3, 4)) + +plt.subplot(2, 1, 1) +plt.scatter((1 - bs) ** 0.5, 1 - np.mean(scores, axis=1), c=colors[3]) +plt.scatter((1 - bs) ** 0.5, 1 - np.mean(scores0, axis=1), c=colors[4]) + +plt.ylabel("$1-R^2$") +plt.gca().set_xticks([0.1, 0.2, 0.3, 0.4]) +plt.gca().set_xticklabels([]) +plt.xlim((1 - bs2[-1]) ** 0.5, (1 - bs2[0]) ** 0.5) +plt.yscale("log") + +plt.subplot(2, 1, 2) +plt.plot((1 - bs2) ** 0.5, betas / (0.17272), label=r"$b/b_0$") +plt.plot((1 - bs2) ** 0.5, alphas / (2.37882), label=r"$c/c_0$") +plt.gca().set_xticks([0.1, 0.2, 0.3, 0.4]) +plt.ylim(0, 5) +plt.legend() +plt.ylabel("Normal-form\nparameters") +plt.xlabel(r"$\mu^{1/2}$") +plt.xlim((1 - bs2[-1]) ** 0.5, (1 - bs2[0]) ** 0.5) +plt.savefig("fig2a.pdf") +plt.show() + + +# Compare the Canard explosions in the SINDyCP model and the Oregonator model + +# In[11]: + + +bs3 = np.linspace(0.82, 0.98, 18) + +Xs2 = [] +Ys2 = [] +Zs2 = [] +for b in bs3: + t1 = 1e3 / (1 - b) # Domain size in t directions + dt = 5.94804 / 100 + + X, Y, Z = utils.get_homogeneous_oregonator_trajectory(b, t1, dt) + Xs2 = Xs2 + [X] + Ys2 = Ys2 + [Y] + Zs2 = Zs2 + [Z] + +slope, intercept, r_value, p_value, std_err = linregress((1 - bs) ** 0.5, scales) +scales3 = intercept + slope * (1 - bs3) ** 0.5 + +Xs = [] +Ys = [] +for b in bs3: + t1 = 2e1 # Domain size in t directions + dt = 1e-2 + + X, Y = utils.get_homogeneous_oregonator_trajectory_fit(model, b, t1, dt) + Xs = Xs + [X] + Ys = Ys + [Y] + +amps = [] +amps2 = [] + +for i in range(0, len(bs3)): + X = Xs[i] + Y = Ys[i] + nt = X.shape[0] + period = int(np.median(np.diff(find_peaks(X[nt // 2 :])[0]))) + 1 + amps = amps + [ + np.mean((scales3[i] * X[-period:]) ** 2 + (scales3[i] * Y[-period:]) ** 2) + ] + +for i in range(0, len(bs3)): + X = Xs2[i] + Z = Zs2[i] + nt = X.shape[0] + period = int(np.median(np.diff(find_peaks(X[nt // 2 :])[0]))) + 1 + x0 = np.mean(X[-10 * period :]) + z0 = np.mean(Z[-10 * period :]) + A2 = np.mean( + ( + ((X[-300 * period :] - x0) / x0 + 1j * (Z[-300 * period :] - z0) / z0) + * np.exp(-1j * 2 * np.pi / period * np.arange(300 * period)) + ).reshape(300, -1), + axis=1, + ) + amps2 = amps2 + [np.mean(np.abs(A2) ** 2)] + +plt.subplots(1, 2, figsize=(8, 4)) +plt.subplot(1, 2, 1) +for i in range(0, len(bs3), 4): + X = Xs[i] + Y = Ys[i] + nt = X.shape[0] + period = int(np.median(np.diff(find_peaks(X[nt // 2 :])[0]))) + 1 + plt.plot( + (scales3[i] * X[-period:]), + (scales3[i] * Y[-period:]), + ls="--", + c=colors[i // 4], + ) + + X = Xs2[i] + Z = Zs2[i] + nt = X.shape[0] + period = int(np.median(np.diff(find_peaks(X[nt // 2 :])[0]))) + 1 + x0 = np.mean(X[-10 * period :]) + z0 = np.mean(Z[-10 * period :]) + A2 = np.mean( + ( + ((X[-300 * period :] - x0) / x0 + 1j * (Z[-300 * period :] - z0) / z0) + * np.exp(-1j * 2 * np.pi / period * np.arange(300 * period)) + ).reshape(300, -1), + axis=1, + ) + plt.plot( + np.real(A2), + np.imag(A2), + c=colors[i // 4], + label=r"$\mu^{1/2}=%.3f$" % ((1 - bs3[i]) ** 0.5), + ) + +plt.xlabel(r"$X$") +plt.ylabel(r"$Y$") +plt.legend() + +plt.subplot(1, 2, 2) +plt.scatter((1 - bs3) ** 0.5, amps, label="SINDyCP fit", c=colors[i // 4 + 1]) +plt.scatter((1 - bs3) ** 0.5, amps2, label="Oregonator model", c=colors[i // 4 + 2]) +plt.xlabel(r"$\mu^{1/2}$") +plt.ylabel(r"$\overline{A^2}$") +plt.legend() + +plt.tight_layout() +plt.savefig("figs8.pdf") +plt.show() + + +# ### Effects of noise on CGLE fits + +# Here we perform both differential and weak SINDyCP fits on the four previous trajectories with various intensities of injected noise. We generate two new test trajectories to assess the performance of the fits. We also generate five new training trajectories with random parameter values in the amplitude turbulence parameter regime and perform the SINDyCP fits on noisy data with a varying number of length of trajectories. Since these fits take a while, we use previously saved score results here if they are present. + +# In[17]: + + +utils.cgle_weak_noise_sweeps() +utils.cgle_noise_sweeps() + + +# Plot results + +# In[18]: -colors = [ - "#ff7f0e", - "#2ca02c", - "#1f77b4", - "#d62728", - "#9467bd", - "#8c564b", - "#e377c2", - "#7f7f7f", - "#bcbd22", - "#17becf", -] fig, ax = plt.subplots(1, 2, figsize=(6, 3)) @@ -1000,18 +1254,15 @@ # # which is a model pattern formation equation for studying nonlinear dynamics including defect formations. Depending on the values of the parameters $r$, $b_3$ and $b_5$, the system can relax to either a uniform steady state, a periodic steady state, or a symmetry-broken steady state exhibiting localized states. We demonstrate the potential for SINDyCP to extrapolate by predicting the existence of localized states from training data collected when only the uniform state is stable. -# In[4]: +# In[31]: nx = 256 N = nx L = 2 * np.pi * 32 -t1 = 10 -if __name__ == "testing": - t1 = 1e0 - nx = 64 +t1 = 5 t3 = 0 -dt = 0.01 +dt = 0.02 nt = int((t1 - t3) / dt) @@ -1024,7 +1275,7 @@ # Randomly generate a relationship between the normal-form parameters $(r, b_3, b_5)$ and an experimental control parameter $\varepsilon$ -# In[5]: +# In[32]: np.random.seed(66) @@ -1065,47 +1316,133 @@ def b5_func(epsilons): inds = np.intersect1d( np.where(r_func(epsilons) < 0)[0], np.where(b3_func(epsilons) > 0)[0] ) -plt.plot(epsilons, r_func(epsilons)) -plt.plot(epsilons, b3_func(epsilons)) -plt.plot(epsilons, b5_func(epsilons)) -plt.xlabel(r"$\varepsilon$") -plt.ylabel("Normal form\n parameters") -plt.show() -# In[6]: +# Generate the high-$\varepsilon$ and low-$\varepsilon$ training and testing data +# In[33]: -num_trajectories = 3 -np.random.seed(1) + +num_trajectories = 5 +np.random.seed(100) epsilons_train = 1 + 2 * (np.random.random(size=num_trajectories)) rs = r_func(epsilons_train) b3s = b3_func(epsilons_train) b5s = b5_func(epsilons_train) k = 2 -np.random.seed(10) +xs_train = [] +xs_test = [] +for i in range(len(rs)): + u0 = utils.get_sh_ic(1.0, spatial_grid) + us = utils.get_sh_trajectory(u0, rs[i], b3s[i], b5s[i], t1, dt, spatial_grid) + xs_train = xs_train + [us] +for i in range(len(rs)): + u0 = utils.get_sh_ic(1.0, spatial_grid) + us = utils.get_sh_trajectory(u0, rs[i], b3s[i], b5s[i], t1, dt, spatial_grid) + xs_test = xs_test + [us] -xs = [] +num_trajectories = 5 +np.random.seed(100) +epsilons_train2 = -1 + 2 * (np.random.random(size=num_trajectories)) +trajectories = 100 +rs = r_func(epsilons_train2) +b3s = b3_func(epsilons_train2) +b5s = b5_func(epsilons_train2) +k = 2 + +xs_train2 = [] +xs_test2 = [] +seeds = np.arange(num_trajectories) for i in range(len(rs)): - print(i) + np.random.seed(seeds[i]) u0 = utils.get_sh_ic(1.0, spatial_grid) us = utils.get_sh_trajectory(u0, rs[i], b3s[i], b5s[i], t1, dt, spatial_grid) - xs = xs + [us] + xs_train2 = xs_train2 + [us] +for i in range(len(rs)): + np.random.seed(seeds[i]) + u0 = utils.get_sh_ic(1.0, spatial_grid) + us = utils.get_sh_trajectory(u0, rs[i], b3s[i], b5s[i], t1, dt, spatial_grid) + xs_test2 = xs_test2 + [us] -# Fit the data with weak SINDyCP +# Fit the high-$\varepsilon$ data with weak SINDyCP with noise intensity $\sigma=0.05$ and $\sigma=0.01$ -# In[7]: +# In[34]: + + +noise_scale = 0.05 +np.random.seed(1) +xs_train_noisy = [ + xs_train[i] + noise_scale * np.random.normal(size=xs_train[i].shape) + for i in range(len(xs_train)) +] +xs_test_noisy = [ + xs_test[i] + noise_scale * np.random.normal(size=xs_test[i].shape) + for i in range(len(xs_test)) +] + +noise_scale = 0.01 +np.random.seed(1) +xs_train_noisy2 = [ + xs_train[i] + noise_scale * np.random.normal(size=xs_train[i].shape) + for i in range(len(xs_train)) +] +xs_test_noisy2 = [ + xs_test[i] + noise_scale * np.random.normal(size=xs_test[i].shape) + for i in range(len(xs_test)) +] + +fig, ax = plt.subplots(2, 5, figsize=(12, 5)) +for i in range(len(xs_train)): + plt.subplot(2, 5, i + 1) + plt.imshow( + ps.FiniteDifference(d=1, axis=1)._differentiate(xs_train_noisy[i], t=dt), + aspect=xs_train[0].shape[1] / xs_train[0].shape[0], + cmap="seismic", + ) + plt.gca().set_yticks([0, 64, 128, 192, 256]) + plt.gca().set_yticklabels([]) + if i == 0: + plt.ylabel(r"$x/2\pi$") + plt.gca().set_yticklabels([0, 8, 16, 24, 32]) + plt.gca().set_xticks([0, 50, 100, 150, 200, 250]) + plt.gca().set_xticklabels([]) + plt.title(r"$\varepsilon=%.3f$" % (epsilons_train[i])) + plt.clim(-2, 2) +for i in range(len(xs_train)): + plt.subplot(2, 5, i + 6) + plt.imshow( + ps.FiniteDifference(d=1, axis=1)._differentiate(xs_train_noisy2[i], t=dt), + aspect=xs_train[0].shape[1] / xs_train[0].shape[0], + cmap="seismic", + ) + plt.gca().set_yticks([0, 64, 128, 192, 256]) + plt.gca().set_yticklabels([]) + if i == 0: + plt.ylabel(r"$x/2\pi$") + plt.gca().set_yticklabels([0, 8, 16, 24, 32]) + plt.gca().set_xticks([0, 50, 100, 150, 200, 250]) + plt.gca().set_xticklabels([0, 1, 2, 3, 4, 5]) + plt.xlabel("$t$") + plt.clim(-2, 2) + +plt.tight_layout() +cb = plt.colorbar(ax=ax[:][:], fraction=0.015) +cb.set_label(r"$\dot{u}$", rotation="horizontal", loc="top") +plt.savefig("figs5.pdf") +plt.show() + + +# In[35]: start = timeit.default_timer() library_functions = [lambda x: x, lambda x: x**3, lambda x: x**5] function_names = [lambda x: x, lambda x: x + x + x, lambda x: x + x + x + x + x] seed = 100 -K = 500 -if __name__ == "testing": - K = 1 +K = 1000 +H_xt = [L / 32, t1 / 5] np.random.seed(seed) feature_lib = ps.WeakPDELibrary( library_functions=library_functions, @@ -1113,8 +1450,9 @@ def b5_func(epsilons): spatiotemporal_grid=spatiotemporal_grid, include_interaction=False, function_names=function_names, + multiindices=[[2], [4]], K=K, - H_xt=[L / 20, t1 / 20], + H_xt=H_xt, ) library_functions = [lambda x: x, lambda x: x**2] function_names = [lambda x: x, lambda x: x + "^2"] @@ -1127,7 +1465,7 @@ def b5_func(epsilons): function_names=function_names, include_bias=True, K=K, - H_xt=[L / 20, t1 / 20], + H_xt=H_xt, ) lib = ps.ParameterizedLibrary( parameter_library=parameter_lib, @@ -1135,272 +1473,213 @@ def b5_func(epsilons): num_parameters=1, num_features=1, ) -opt = ps.STLSQ(threshold=1e-3, alpha=1e-4, normalize_columns=False) +opt = ps.STLSQ(threshold=1e-3, alpha=1e-12, normalize_columns=False) model = ps.SINDy(feature_library=lib, optimizer=opt, feature_names=["u", "epsilon"]) -noise_scale = 0.01 -xs_noisy = [ - xs[i] * (1 + noise_scale * np.random.normal(size=xs[i].shape)) - for i in range(len(xs)) -] + model.fit( - xs_noisy, u=epsilons_train.tolist(), t=dt, multiple_trajectories=True, unbias=True + xs_train_noisy, + u=epsilons_train.tolist(), + t=dt, + multiple_trajectories=True, ) model.print() stop = timeit.default_timer() print(stop - start) print(lib.get_feature_names(["u", "epsilon"])) -print(model.score(xs, u=epsilons_train.tolist(), t=dt, multiple_trajectories=True)) - - -# Define some functions to store the fit results - -# In[8]: +utils.get_sh_coefficients(model, print_coeffs=True) +print( + model.score( + xs_test_noisy, u=epsilons_train.tolist(), t=dt, multiple_trajectories=True + ) +) +print() -uxcoeff_fit = np.array( - [ - opt.coef_[0, np.where(np.array(model.get_feature_names()) == "1 u_1")[0][0]], - opt.coef_[ - 0, np.where(np.array(model.get_feature_names()) == "epsilon u_1")[0][0] - ], - opt.coef_[ - 0, np.where(np.array(model.get_feature_names()) == "epsilon^2 u_1")[0][0] - ], - ] -) -uxxcoeff_fit = np.array( - [ - opt.coef_[0, np.where(np.array(model.get_feature_names()) == "1 u_11")[0][0]], - opt.coef_[ - 0, np.where(np.array(model.get_feature_names()) == "epsilon u_11")[0][0] - ], - opt.coef_[ - 0, np.where(np.array(model.get_feature_names()) == "epsilon^2 u_11")[0][0] - ], - ] -) -uxxxcoeff_fit = np.array( - [ - opt.coef_[0, np.where(np.array(model.get_feature_names()) == "1 u_111")[0][0]], - opt.coef_[ - 0, np.where(np.array(model.get_feature_names()) == "epsilon u_111")[0][0] - ], - opt.coef_[ - 0, np.where(np.array(model.get_feature_names()) == "epsilon^2 u_111")[0][0] - ], - ] +model.fit( + xs_train_noisy2, + u=epsilons_train.tolist(), + t=dt, + multiple_trajectories=True, + unbias=True, ) -uxxxxcoeff_fit = np.array( - [ - opt.coef_[0, np.where(np.array(model.get_feature_names()) == "1 u_1111")[0][0]], - opt.coef_[ - 0, np.where(np.array(model.get_feature_names()) == "epsilon u_1111")[0][0] - ], - opt.coef_[ - 0, np.where(np.array(model.get_feature_names()) == "epsilon^2 u_1111")[0][0] - ], - ] +model.print() +stop = timeit.default_timer() +print(stop - start) +print(lib.get_feature_names(["u", "epsilon"])) +( + r_func_fit, + b3_func_fit, + b5_func_fit, + uxx_func_fit, + uxxxx_func_fit, +) = utils.get_sh_coefficients(model, print_coeffs=True) +print( + model.score( + xs_test_noisy2, u=epsilons_train.tolist(), t=dt, multiple_trajectories=True + ) ) -def ux_func_fit(epsilons): - epsilons = np.asarray(epsilons) - return np.sum( - uxcoeff_fit[np.newaxis, :] - * epsilons[:, np.newaxis] ** np.arange(len(rcoeff))[np.newaxis, :], - axis=1, - ) +# Fit the low-$\varepsilon$ data with weak SINDyCP with noise intensity $\sigma=0.05$ and $\sigma=0.01$ +# In[36]: -def uxx_func_fit(epsilons): - epsilons = np.asarray(epsilons) - return np.sum( - uxxcoeff_fit[np.newaxis, :] - * epsilons[:, np.newaxis] ** np.arange(len(rcoeff))[np.newaxis, :], - axis=1, - ) +noise_scale = 0.05 +np.random.seed(1) +xs_train_noisy3 = [ + xs_train2[i] + noise_scale * np.random.normal(size=xs_train2[i].shape) + for i in range(len(xs_train2)) +] +xs_test_noisy3 = [ + xs_test2[i] + noise_scale * np.random.normal(size=xs_test2[i].shape) + for i in range(len(xs_test2)) +] -def uxxx_func_fit(epsilons): - epsilons = np.asarray(epsilons) - return np.sum( - uxxxcoeff_fit[np.newaxis, :] - * epsilons[:, np.newaxis] ** np.arange(len(rcoeff))[np.newaxis, :], - axis=1, - ) +noise_scale = 0.01 +np.random.seed(1) +xs_train_noisy4 = [ + xs_train2[i] + noise_scale * np.random.normal(size=xs_train2[i].shape) + for i in range(len(xs_train2)) +] +xs_test_noisy4 = [ + xs_test2[i] + noise_scale * np.random.normal(size=xs_test2[i].shape) + for i in range(len(xs_test2)) +] +fig, ax = plt.subplots(2, 5, figsize=(12, 5)) -def uxxxx_func_fit(epsilons): - epsilons = np.asarray(epsilons) - return np.sum( - uxxxxcoeff_fit[np.newaxis, :] - * epsilons[:, np.newaxis] ** np.arange(len(rcoeff))[np.newaxis, :], - axis=1, +for i in range(len(xs_train)): + plt.subplot(2, 5, i + 1) + plt.imshow( + ps.FiniteDifference(d=1, axis=1)._differentiate(xs_train_noisy3[i], t=dt), + aspect=xs_train2[0].shape[1] / xs_train2[0].shape[0], + cmap="seismic", ) - - -rcoeff_fit = np.array( - [ - opt.coef_[0, np.where(np.array(model.get_feature_names()) == "1 u")[0][0]] + 1, - opt.coef_[ - 0, np.where(np.array(model.get_feature_names()) == "epsilon u")[0][0] - ], - opt.coef_[ - 0, np.where(np.array(model.get_feature_names()) == "epsilon^2 u")[0][0] - ], - ] -) -b3coeff_fit = np.array( - [ - opt.coef_[0, np.where(np.array(model.get_feature_names()) == "1 uuu")[0][0]], - opt.coef_[ - 0, np.where(np.array(model.get_feature_names()) == "epsilon uuu")[0][0] - ], - opt.coef_[ - 0, np.where(np.array(model.get_feature_names()) == "epsilon^2 uuu")[0][0] - ], - ] -) -b5coeff_fit = np.array( - [ - -opt.coef_[0, np.where(np.array(model.get_feature_names()) == "1 uuuuu")[0][0]], - -opt.coef_[ - 0, np.where(np.array(model.get_feature_names()) == "epsilon uuuuu")[0][0] - ], - -opt.coef_[ - 0, np.where(np.array(model.get_feature_names()) == "epsilon^2 uuuuu")[0][0] - ], - ] -) - - -def r_func_fit(epsilons): - epsilons = np.asarray(epsilons) - return np.sum( - rcoeff_fit[np.newaxis, :] - * epsilons[:, np.newaxis] ** np.arange(len(rcoeff))[np.newaxis, :], - axis=1, + plt.gca().set_yticks([0, 64, 128, 192, 256]) + plt.gca().set_yticklabels([]) + if i == 0: + plt.ylabel(r"$x/2\pi$") + plt.gca().set_yticklabels([0, 8, 16, 24, 32]) + plt.gca().set_xticks([0, 50, 100, 150, 200, 250]) + plt.gca().set_xticklabels([0, 1, 2, 3, 4, 5]) + plt.gca().set_xticklabels([]) + plt.title(r"$\varepsilon=%.3f$" % (epsilons_train2[i])) + + plt.clim(-2, 2) +for i in range(len(xs_train)): + plt.subplot(2, 5, i + 6) + plt.imshow( + ps.FiniteDifference(d=1, axis=1)._differentiate(xs_train_noisy4[i], t=dt), + aspect=xs_train[0].shape[1] / xs_train[0].shape[0], + cmap="seismic", ) + plt.gca().set_yticks([0, 64, 128, 192, 256]) + plt.gca().set_yticklabels([]) + if i == 0: + plt.ylabel(r"$x/2\pi$") + plt.gca().set_yticklabels([0, 8, 16, 24, 32]) + plt.gca().set_xticks([0, 50, 100, 150, 200, 250]) + plt.gca().set_xticklabels([0, 1, 2, 3, 4, 5]) + plt.xlabel("$t$") + plt.clim(-2, 2) -def b3_func_fit(epsilons): - epsilons = np.asarray(epsilons) - return np.sum( - b3coeff_fit[np.newaxis, :] - * epsilons[:, np.newaxis] ** np.arange(len(b3coeff))[np.newaxis, :], - axis=1, - ) +plt.tight_layout() +cb = plt.colorbar(ax=ax[:][:], fraction=0.015) +cb.set_label(r"$\dot{u}$", rotation="horizontal", loc="top") +plt.savefig("figs6.pdf") +plt.show() -def b5_func_fit(epsilons): - epsilons = np.asarray(epsilons) - return np.sum( - b5coeff_fit[np.newaxis, :] - * epsilons[:, np.newaxis] ** np.arange(len(b5coeff))[np.newaxis, :], - axis=1, - ) +# In[37]: -# Stability of continuation orbits. The solutions have been continued with auto07p and their stability determined and saved. +start = timeit.default_timer() +library_functions = [ + lambda x: x, + lambda x: x**2, + lambda x: x**3, + lambda x: x**4, + lambda x: x**5, +] +function_names = [ + lambda x: x, + lambda x: x + x, + lambda x: x + x + x, + lambda x: x + x + x + x, + lambda x: x + x + x + x + x, +] +library_functions = [lambda x: x, lambda x: x**3, lambda x: x**5] +function_names = [lambda x: x, lambda x: x + x + x, lambda x: x + x + x + x + x] -# In[9]: +model.fit( + xs_train_noisy3, + u=epsilons_train2.tolist(), + t=dt, + multiple_trajectories=True, + unbias=True, +) +model.print() +stop = timeit.default_timer() +print(stop - start) +print(lib.get_feature_names(["u", "epsilon"])) +utils.get_sh_coefficients(model, print_coeffs=True) +print( + model.score( + xs_test_noisy3, u=epsilons_train2.tolist(), t=dt, multiple_trajectories=True + ) +) -i = 0 -odd_unstable_xs = [] -odd_unstable_ys = [] -while os.path.exists("data/auto/odd/unstable_" + str(i) + ".npy"): - branchx, branchy = np.load("data/auto/odd/unstable_" + str(i) + ".npy") - odd_unstable_xs.append(branchx) - odd_unstable_ys.append(branchy) - i = i + 1 - -i = 0 -odd_stable_xs = [] -odd_stable_ys = [] -while os.path.exists("data/auto/odd/stable_" + str(i) + ".npy"): - branchx, branchy = np.load("data/auto/odd/stable_" + str(i) + ".npy") - odd_stable_xs.append(branchx) - odd_stable_ys.append(branchy) - i = i + 1 - -i = 0 -even_unstable_xs = [] -even_unstable_ys = [] -while os.path.exists("data/auto/even/unstable_" + str(i) + ".npy"): - branchx, branchy = np.load("data/auto/even/unstable_" + str(i) + ".npy") - even_unstable_xs.append(branchx) - even_unstable_ys.append(branchy) - i = i + 1 - -i = 0 -even_stable_xs = [] -even_stable_ys = [] -while os.path.exists("data/auto/even/stable_" + str(i) + ".npy"): - branchx, branchy = np.load("data/auto/even/stable_" + str(i) + ".npy") - even_stable_xs.append(branchx) - even_stable_ys.append(branchy) - i = i + 1 - -i = 0 -periodic_unstable_xs = [] -periodic_unstable_ys = [] -while os.path.exists("data/auto/periodic/unstable_" + str(i) + ".npy"): - branchx, branchy = np.load("data/auto/periodic/unstable_" + str(i) + ".npy") - periodic_unstable_xs.append(branchx) - periodic_unstable_ys.append(branchy) - i = i + 1 - -i = 0 -periodic_stable_xs = [] -periodic_stable_ys = [] -while os.path.exists("data/auto/periodic/stable_" + str(i) + ".npy"): - branchx, branchy = np.load("data/auto/periodic/stable_" + str(i) + ".npy") - periodic_stable_xs.append(branchx) - periodic_stable_ys.append(branchy) - i = i + 1 +print() +model.fit( + xs_train_noisy4, + u=epsilons_train2.tolist(), + t=dt, + multiple_trajectories=True, + unbias=True, +) +model.print() +stop = timeit.default_timer() +print(stop - start) +print(lib.get_feature_names(["u", "epsilon"])) +utils.get_sh_coefficients(model, print_coeffs=True) +print( + model.score( + xs_test_noisy4, u=epsilons_train2.tolist(), t=dt, multiple_trajectories=True + ) +) # Plot the normal form parameters and continuation results -# In[10]: - +# In[38]: -colors = [ - "#ff7f0e", - "#2ca02c", - "#1f77b4", - "#d62728", - "#9467bd", - "#8c564b", - "#e377c2", - "#7f7f7f", - "#bcbd22", - "#17becf", -] -plt.subplots(2, 1, figsize=(3, 4)) +plt.subplots(2, 1, figsize=(4, 6)) plt.subplot(2, 1, 1) plt.plot(np.arange(-1, 4, 1), np.zeros(5), c="black") for epsilon in epsilons_train: plt.plot([epsilon, epsilon], [-0.1, 1], ls=":", c="red") -plt.plot([0.1, 0.1], [-0.1, 1], ls=":", c="black") - -for i in range(len(odd_stable_xs)): - plt.plot(odd_stable_xs[i], odd_stable_ys[i], c=colors[3]) -for i in range(len(odd_unstable_xs)): - plt.plot(odd_unstable_xs[i], odd_unstable_ys[i], ls=":", c=colors[3]) - -for i in range(len(even_stable_xs)): - plt.plot(even_stable_xs[i], even_stable_ys[i], c=colors[4]) -for i in range(len(even_unstable_xs)): - plt.plot(even_unstable_xs[i], even_unstable_ys[i], ls=":", c=colors[4]) - -for i in range(len(periodic_stable_xs)): - plt.plot(periodic_stable_xs[i], periodic_stable_ys[i], c=colors[5]) -for i in range(len(periodic_unstable_xs)): - plt.plot(periodic_unstable_xs[i], periodic_unstable_ys[i], ls=":", c=colors[5]) +plt.plot([0.0, 0.0], [-0.1, 1], ls=":", c="black") + +unstable, stable = utils.get_auto_branches("data/auto/odd") +for branch in stable: + plt.plot(branch[0], branch[1], c=colors[5]) +for branch in unstable: + plt.plot(branch[0], branch[1], ls=":", c=colors[5]) +unstable, stable = utils.get_auto_branches("data/auto/even") +for branch in stable: + plt.plot(branch[0], branch[1], c=colors[6]) +for branch in unstable: + plt.plot(branch[0], branch[1], ls=":", c=colors[6]) +unstable, stable = utils.get_auto_branches("data/auto/periodic") +for branch in stable: + plt.plot(branch[0], branch[1], c=colors[7]) +for branch in unstable: + plt.plot(branch[0], branch[1], ls=":", c=colors[7]) plt.xlim(-1, 3) plt.ylim(-0.1, 1) @@ -1413,7 +1692,7 @@ def b5_func_fit(epsilons): mx = np.max([r_func(epsilons), b3_func(epsilons), b5_func(epsilons)]) for epsilon in epsilons_train: plt.plot([epsilon, epsilon], [mx, mn], ls=":", c="red") -plt.plot([0.1, 0.1], [mx, mn], ls=":", c="black") +plt.plot([0, 0], [mx, mn], ls=":", c="black") line1 = plt.plot(epsilons, r_func(epsilons), label="$d$") line2 = plt.plot(epsilons, b3_func(epsilons), label="$e$") @@ -1451,18 +1730,14 @@ def b5_func_fit(epsilons): # Extrapolate the model to parameters with twentry random initial conditions. The fit correctly predicts the localized states! -# In[11]: +# In[39]: def sh_fit(t, u, epsilon): - ux = np.real(ps.SpectralDerivative(d=1, axis=0)._differentiate(u, L / nx)) uxx = np.real(ps.SpectralDerivative(d=2, axis=0)._differentiate(u, L / nx)) - uxxx = np.real(ps.SpectralDerivative(d=3, axis=0)._differentiate(u, L / nx)) uxxxx = np.real(ps.SpectralDerivative(d=4, axis=0)._differentiate(u, L / nx)) return ( - ux_func_fit([epsilon])[0] * ux - + uxx_func_fit([epsilon])[0] * uxx - + uxxx_func_fit([epsilon])[0] * uxxx + +uxx_func_fit([epsilon])[0] * uxx + uxxxx_func_fit([epsilon])[0] * uxxxx + (r_func_fit([epsilon])[0] - 1) * u + b3_func_fit([epsilon])[0] * u**3 @@ -1473,17 +1748,15 @@ def sh_fit(t, u, epsilon): nx = 256 L = 2 * np.pi * 16 t1 = 50 -if __name__ == "testing": - n = 64 - t1 = 10 N = nx dt = 1 -epsilon = 0.1 +epsilon = 0.0 k = 2 xs_test = [] -seeds = [13, 15] +seeds = [1, 5] +start = timeit.default_timer() for i in seeds: np.random.seed(i) ks = np.arange(-20, 21) / L @@ -1516,18 +1789,20 @@ def sh_fit(t, u, epsilon): u = sol.y[:, -1] us[n] = u xs_test.append(np.transpose(us)[:, :, np.newaxis]) +stop = timeit.default_timer() +print(stop - start) -# In[12]: +# In[40]: -plt.subplots(2, 1, figsize=(3, 4)) +plt.subplots(2, 1, figsize=(4, 6)) plt.subplot(2, 1, 1) u = xs_test[0][:, -1] ux = ps.SpectralDerivative(d=1, axis=0)._differentiate(u, L / nx) u = np.roll(u, nx // 2 - np.argmax(ux) + 1) -plt.plot(u, c=colors[3]) +plt.plot(u, c=colors[5]) plt.ylim(-1.6, 1.6) plt.ylabel("$u$") plt.gca().set_xticks([0, 128, 256]) @@ -1536,7 +1811,7 @@ def sh_fit(t, u, epsilon): plt.subplot(2, 1, 2) u = xs_test[1][:, -1] u = np.roll(u, nx // 2 - np.argmin(u) + 1) -plt.plot(u, c=colors[4]) +plt.plot(u, c=colors[6]) plt.ylim(-1.6, 1.6) plt.xlabel("$x$") plt.ylabel("$u$") @@ -1544,3 +1819,143 @@ def sh_fit(t, u, epsilon): plt.gca().set_xticklabels(["$-L/2$", "$0$", "$L/2$"]) plt.savefig("fig4b.pdf") + + +# Compare the snaking bifurcations for the fits and the actual equations + +# In[41]: + + +plt.subplots(1, 3, figsize=(12, 5)) + +unstable, stable = utils.get_auto_branches("data/auto/odd") +plt.subplot(1, 3, 1) +for branch in stable: + plt.plot(branch[0], branch[1], c=colors[0]) +for branch in unstable: + plt.plot(branch[0], branch[1], ls=":", c=colors[0]) +unstable, stable = utils.get_auto_branches("data/auto/even") +for branch in stable: + plt.plot(branch[0], branch[1], c=colors[0]) +for branch in unstable: + plt.plot(branch[0], branch[1], ls=":", c=colors[0]) +unstable, stable = utils.get_auto_branches("data/auto/periodic") +for branch in stable: + plt.plot(branch[0], branch[1], c=colors[0]) +for branch in unstable: + plt.plot(branch[0], branch[1], ls=":", c=colors[0]) +plt.xlabel(r"$\varepsilon$") +plt.ylabel("Norm") +plt.ylim(0, 1) +plt.xlim(-0.5, 1) +plt.gca().set_xticks([-0.5, 0, 0.5]) +plt.gca().set_yticks([0, 0.2, 0.4, 0.6, 0.8, 1.0]) +plt.title("Actual equations") + +unstable, stable = utils.get_auto_branches("data/auto/odd2") +plt.subplot(1, 3, 3) +lab = True +for branch in stable: + if lab: + plt.plot(branch[0], branch[1], c=colors[1], label=r"$\sigma=0.01$") + lab = False + else: + plt.plot(branch[0], branch[1], c=colors[1]) +for branch in unstable: + plt.plot(branch[0], branch[1], ls=":", c=colors[1]) +unstable, stable = utils.get_auto_branches("data/auto/even2") +for branch in stable: + plt.plot(branch[0], branch[1], c=colors[1]) +for branch in unstable: + plt.plot(branch[0], branch[1], ls=":", c=colors[1]) +unstable, stable = utils.get_auto_branches("data/auto/periodic2") +for branch in stable: + plt.plot(branch[0], branch[1], c=colors[1]) +for branch in unstable: + plt.plot(branch[0], branch[1], ls=":", c=colors[1]) +unstable, stable = utils.get_auto_branches("data/auto/odd4") +lab = True +for branch in stable: + if lab: + plt.plot(branch[0], branch[1], c=colors[2], label=r"$\sigma=0.05$") + lab = False + else: + plt.plot(branch[0], branch[1], c=colors[2]) +for branch in unstable: + plt.plot(branch[0], branch[1], ls=":", c=colors[2]) +unstable, stable = utils.get_auto_branches("data/auto/even4") +for branch in stable: + plt.plot(branch[0], branch[1], c=colors[2]) +for branch in unstable: + plt.plot(branch[0], branch[1], ls=":", c=colors[2]) +unstable, stable = utils.get_auto_branches("data/auto/periodic4") +for branch in stable: + plt.plot(branch[0], branch[1], c=colors[2]) +for branch in unstable: + plt.plot(branch[0], branch[1], ls=":", c=colors[2]) +plt.legend() +plt.xlabel(r"$\varepsilon$") +plt.ylim(0, 1) +plt.xlim(-0.5, 1) +plt.gca().set_xticks([-0.5, 0, 0.5]) +plt.gca().set_yticks([0, 0.2, 0.4, 0.6, 0.8, 1.0]) +plt.gca().set_yticklabels([]) +plt.title(r"Low-$\varepsilon$ fits") + +unstable, stable = utils.get_auto_branches("data/auto/odd3") +plt.subplot(1, 3, 2) +lab = True +for branch in stable: + if lab: + plt.plot(branch[0], branch[1], c=colors[1], label=r"$\sigma=0.01$") + lab = False + else: + plt.plot(branch[0], branch[1], c=colors[1]) +for branch in unstable: + plt.plot(branch[0], branch[1], ls=":", c=colors[1]) +unstable, stable = utils.get_auto_branches("data/auto/even3") +for branch in stable: + plt.plot(branch[0], branch[1], c=colors[1]) +for branch in unstable: + plt.plot(branch[0], branch[1], ls=":", c=colors[1]) +unstable, stable = utils.get_auto_branches("data/auto/periodic3") +for branch in stable: + plt.plot(branch[0], branch[1], c=colors[1]) +for branch in unstable: + plt.plot(branch[0], branch[1], ls=":", c=colors[1]) +unstable, stable = utils.get_auto_branches("data/auto/odd5") +lab = True +for branch in stable: + if lab: + plt.plot(branch[0], branch[1], c=colors[2], label=r"$\sigma=0.05$") + lab = False + else: + plt.plot(branch[0], branch[1], c=colors[2]) +for branch in unstable: + plt.plot(branch[0], branch[1], ls=":", c=colors[2]) +unstable, stable = utils.get_auto_branches("data/auto/even5") +for branch in stable: + plt.plot(branch[0], branch[1], c=colors[2]) +for branch in unstable: + plt.plot(branch[0], branch[1], ls=":", c=colors[2]) +unstable, stable = utils.get_auto_branches("data/auto/periodic5") +for branch in stable: + plt.plot(branch[0], branch[1], c=colors[2]) +for branch in unstable: + plt.plot(branch[0], branch[1], ls=":", c=colors[2]) +plt.legend() + +plt.xlabel(r"$\varepsilon$") +plt.ylim(0, 1) +plt.xlim(-0.5, 1) +plt.gca().set_xticks([-0.5, 0, 0.5]) +plt.gca().set_yticks([0, 0.2, 0.4, 0.6, 0.8, 1.0]) +plt.gca().set_yticklabels([]) +plt.title(r"High-$\varepsilon$ fits") + +plt.tight_layout() +plt.savefig("figs7.pdf") +plt.show() + + +# In[ ]: diff --git a/examples/17_parameterized_pattern_formation/parameterized_pattern_formation.ipynb b/examples/17_parameterized_pattern_formation/parameterized_pattern_formation.ipynb index 2eb577d69..0f9cd6531 100644 --- a/examples/17_parameterized_pattern_formation/parameterized_pattern_formation.ipynb +++ b/examples/17_parameterized_pattern_formation/parameterized_pattern_formation.ipynb @@ -2,39 +2,54 @@ "cells": [ { "cell_type": "markdown", - "id": "653c7891", + "id": "763f5e77", "metadata": {}, "source": [ "# SINDyCP Feature Overview\n", "This notebook provides an overview of the SINDyCP for discovery of parameterized pattern formation in PySINDy. Jupyter notebook written by Zachary G. Nicolaou.\n", "\n", "Model pattern formation equations typically encode the effects of external drive through a number of driving parameters, which characterize a bifurcation leading to the onset of instability. While driving parameters can be considered as constant control signals for spatiotemporal dynamics, combining the PDEFIND and SINDYc approaches to discover parameterized spatiotemporal dynamics poses a significant challenge.\n", - "Here, we develop the system identification for nonlinear dynamics with control parameters (SINDyCP) approach to discover such parameterized dynamics." + "Here, we develop the system identification for nonlinear dynamics with control parameters (SINDyCP) approach to discover such parameterized dynamics.\n", + "\n", + "[![Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/dynamicslab/pysindy/v1.7.3?filepath=examples/17_parameterized_pattern_formation/parameterized_pattern_formation.ipynb)" ] }, { "cell_type": "code", "execution_count": 1, - "id": "b5e3a344", + "id": "19aa4667", "metadata": {}, "outputs": [], "source": [ "import matplotlib.pyplot as plt\n", - "\n", - "plt.ion()\n", "import pysindy as ps\n", "import numpy as np\n", "from scipy.integrate import solve_ivp\n", "from scipy.interpolate import interp1d\n", + "from scipy.stats import linregress\n", "from scipy.signal import find_peaks\n", "import timeit\n", "import os\n", - "import utils" + "import utils\n", + "\n", + "colors = [\n", + " \"#ff7f0e\",\n", + " \"#2ca02c\",\n", + " \"#1f77b4\",\n", + " \"#d62728\",\n", + " \"#9467bd\",\n", + " \"#8c564b\",\n", + " \"#e377c2\",\n", + " \"#7f7f7f\",\n", + " \"#bcbd22\",\n", + " \"#17becf\",\n", + "]\n", + "start0=timeit.default_timer()" ] }, { "cell_type": "markdown", - "id": "98c50701", + "id": "7728262f", "metadata": {}, "source": [ "### Fit a parameterized logistic map\n", @@ -46,19 +61,17 @@ { "cell_type": "code", "execution_count": 2, - "id": "09f449d9", + "id": "5f747049", "metadata": {}, "outputs": [ { "data": { - "image/png": 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\n", 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", 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" ] }, - "metadata": { - "needs_background": "light" - }, + "metadata": {}, "output_type": "display_data" } ], @@ -89,7 +102,7 @@ }, { "cell_type": "markdown", - "id": "07e9e302", + "id": "ae13a256", "metadata": {}, "source": [ "Generate data for four trajectories with differing values of $r=3.6,3.7,3.8,3.9$." @@ -98,7 +111,7 @@ { "cell_type": "code", "execution_count": 3, - "id": "9b304915", + "id": "33eb3188", "metadata": {}, "outputs": [], "source": [ @@ -119,7 +132,7 @@ }, { "cell_type": "markdown", - "id": "012e0ea4", + "id": "2472d69e", "metadata": {}, "source": [ "Create a SINDyCP library, with a polynomial degree 3 feature library and a polynomial degree 1 parameter library. The library terms in a SINDyCP library consists of products of the features in the feature library and the parameter library. We input specify the parameter values for each trajectory using the control input, which must be the same shape as the input data." @@ -128,7 +141,7 @@ { "cell_type": "code", "execution_count": 4, - "id": "6bc2facd", + "id": "d3ddc908", "metadata": { "scrolled": true }, @@ -161,7 +174,7 @@ }, { "cell_type": "markdown", - "id": "5300123c", + "id": "db4360ae", "metadata": {}, "source": [ "### Fit a parameterized Lorenz model\n", @@ -175,19 +188,17 @@ { "cell_type": "code", "execution_count": 5, - "id": "08490978", + "id": "cdb6c289", "metadata": {}, "outputs": [ { "data": { - "image/png": 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\n", + "image/png": 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", "text/plain": [ - "
" + "
" ] }, - "metadata": { - "needs_background": "light" - }, + "metadata": {}, "output_type": "display_data" } ], @@ -224,7 +235,7 @@ }, { "cell_type": "markdown", - "id": "16b084af", + "id": "b803b22b", "metadata": {}, "source": [ "Fitting any one trajectory gives the equation corresponding to a specific set of parameter values. Can we discover the parameterized equations given all the trajectories?" @@ -233,7 +244,7 @@ { "cell_type": "code", "execution_count": 6, - "id": "972a8a17", + "id": "5a6c26cf", "metadata": {}, "outputs": [ { @@ -264,7 +275,7 @@ }, { "cell_type": "markdown", - "id": "e7b158d4", + "id": "e6e1043f", "metadata": {}, "source": [ "We use the control input of ps.model to specify the parameter values, and fit a SINDy model with multiple trajectories.\n", @@ -274,7 +285,7 @@ }, { "cell_type": "markdown", - "id": "6346bd25", + "id": "a6f5182f", "metadata": {}, "source": [ "Fitting a PolynomialLibrary with multiple_trajectories=True gives the correct model, but note that the same library functions are applied to the input features and the control input." @@ -283,7 +294,7 @@ { "cell_type": "code", "execution_count": 7, - "id": "02e565e4", + "id": "5832477c", "metadata": {}, "outputs": [ { @@ -313,7 +324,7 @@ }, { "cell_type": "markdown", - "id": "a84503e7", + "id": "c1e86f4a", "metadata": {}, "source": [ "The ParameterizedLibrary enables different libraries to be applied to the control input and input features. In this case, the result is the same, but different libraries are required for the PDE case, as shown below." @@ -322,7 +333,7 @@ { "cell_type": "code", "execution_count": 8, - "id": "57f62f68", + "id": "6df5cc28", "metadata": { "scrolled": true }, @@ -357,9 +368,20 @@ "print(lib.get_feature_names([\"x\", \"y\", \"z\", \"sigma\", \"rho\", \"beta\"]))" ] }, + { + "cell_type": "code", + "execution_count": 9, + "id": "907e7185", + "metadata": {}, + "outputs": [], + "source": [ + "if __name__ == \"testing\":\n", + " quit()" + ] + }, { "cell_type": "markdown", - "id": "e996dac4", + "id": "a37d2881", "metadata": {}, "source": [ "### Fit a parameterized complex Ginzburg-Landau equation\n", @@ -370,8 +392,8 @@ }, { "cell_type": "code", - "execution_count": 9, - "id": "82ed9abd", + "execution_count": 10, + "id": "ef58a224", "metadata": {}, "outputs": [], "source": [ @@ -380,11 +402,6 @@ "L = 16\n", "t1 = 2e2\n", "t3 = 1.9e2\n", - "if __name__ == \"testing\":\n", - " t1 = 1e0\n", - " t3 = 0\n", - " nx = 32\n", - " ny = 32\n", "dt = 1e-1\n", "nt = int((t1 - t3) / dt)\n", "\n", @@ -398,12 +415,23 @@ }, { "cell_type": "code", - "execution_count": 10, - "id": "40b74d08", + "execution_count": 11, + "id": "03fbc7a4", "metadata": { "scrolled": true }, - "outputs": [], + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "77.42910413211212\n", + "78.60095577919856\n", + "53.91776819480583\n", + "55.01250318996608\n" + ] + } + ], "source": [ "bs = [2.0, 2.0, 0.5, 1.0]\n", "cs = [1.0, 0.75, 0.5, 0.75]\n", @@ -411,10 +439,7 @@ "scales2 = [1e-2, 1e-2, 1e0, 1e-2]\n", "us = [[bs[i], cs[i]] for i in range(len(bs))]\n", "\n", - "if (\n", - " np.all([os.path.exists(\"data/cgle/cgle_x\" + str(i) + \".npy\") for i in range(4)])\n", - " and __name__ != \"testing\"\n", - "):\n", + "if np.all([os.path.exists(\"data/cgle/cgle_x\" + str(i) + \".npy\") for i in range(4)]):\n", " xs = [np.load(\"data/cgle/cgle_x\" + str(i) + \".npy\") for i in range(4)]\n", "else:\n", " xs = []\n", @@ -426,17 +451,16 @@ " x0 = utils.get_cgle_ic(scale0, scale2, spatial_grid)\n", " x = utils.get_cgle_trajectory(b, c, x0, t1, t3, dt, spatial_grid)\n", " xs = xs + [x]\n", - " if __name__ != \"testing\":\n", - " for i in range(len(xs)):\n", - " if not os.path.exists(\"data/cgle\"):\n", - " os.mkdir(\"data/cgle\")\n", - " np.save(\"data/cgle/cgle_x\" + str(i), xs[i])\n", + " for i in range(len(xs)):\n", + " if not os.path.exists(\"data/cgle\"):\n", + " os.mkdir(\"data/cgle\")\n", + " np.save(\"data/cgle/cgle_x\" + str(i), xs[i])\n", "# utils.animate_clge(xs,us)" ] }, { "cell_type": "markdown", - "id": "227220d9", + "id": "b4e83176", "metadata": {}, "source": [ "Depending on the parameter values and initial conditions, the system exhibits different dynamical phases." @@ -444,22 +468,20 @@ }, { "cell_type": "code", - "execution_count": 11, - "id": "644608d0", + "execution_count": 12, + "id": "b6d581df", "metadata": { "scrolled": false }, "outputs": [ { "data": { - "image/png": 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\n", 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", "text/plain": [ - "
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" ] }, - "metadata": { - "needs_background": "light" - }, + "metadata": {}, "output_type": "display_data" } ], @@ -468,7 +490,7 @@ "\n", "for i in range(len(xs)):\n", " plt.subplot(2, 2, i + 1)\n", - " pl = plt.imshow(xs[i][:, :, -1, 0], vmin=-1.25, vmax=1.25)\n", + " pl = plt.imshow(xs[i][:, :, -20, 0], vmin=-1.25, vmax=1.25)\n", " plt.gca().set_xticks([0, 32, 64, 96, 128])\n", " plt.gca().set_xticklabels([\"$-L$\", \"$-L/2$\", \"0\", \"$L/2$\", \"$L$\"])\n", " plt.gca().set_yticks([0, 32, 64, 96, 128])\n", @@ -496,7 +518,7 @@ }, { "cell_type": "markdown", - "id": "5ced73f8", + "id": "bfeafa01", "metadata": {}, "source": [ "Fitting any one trajectory gives the equation corresponding to a specific set of parameter values. Can we discover the parameterized equations given all the trajectories?" @@ -504,8 +526,8 @@ }, { "cell_type": "code", - "execution_count": 12, - "id": "976ecddb", + "execution_count": 13, + "id": "e52095c9", "metadata": {}, "outputs": [ { @@ -514,7 +536,7 @@ "text": [ "(X)' = 0.999 X + -0.999 XXX + -0.750 YYY + -0.750 XXY + -0.999 XYY + 0.999 X_22 + -0.999 Y_22 + 0.999 X_11 + -0.999 Y_11\n", "(Y)' = 0.999 Y + 0.750 XXX + -0.999 YYY + -0.999 XXY + 0.750 XYY + 0.999 X_22 + 0.999 Y_22 + 0.999 X_11 + 0.999 Y_11\n", - "7.662522011\n" + "3.6847688760608435\n" ] } ], @@ -548,7 +570,7 @@ }, { "cell_type": "markdown", - "id": "64520e78", + "id": "fc2f7032", "metadata": {}, "source": [ "Try a SINDy model with multiple trajectories using the ParameterizedLibrary. Use a PDELibrary for the feature_library with second-order derivatives and library functions that include the relevant cubic term. Use a PDELibrary for the parameter_library with zeroth-order derivatives and linear library functions. The fit is very good!" @@ -556,17 +578,17 @@ }, { "cell_type": "code", - "execution_count": 13, - "id": "a60535a5", + "execution_count": 14, + "id": "9a9f20ec", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ - "(x)' = 0.988 1 x + -0.987 1 xxx + -0.986 1 xyy + 1.015 1 x_22 + 1.020 1 x_11 + -1.020 b y_22 + -1.018 b y_11 + -1.000 c yyy + -1.000 c xxy\n", - "(y)' = 0.989 1 y + -0.987 1 yyy + -0.987 1 xxy + 1.017 1 y_22 + 1.021 1 y_11 + 1.021 b x_22 + 1.019 b x_11 + 1.000 c xxx + 1.000 c xyy\n", - "98.86409345300001\n", + "(x)' = 0.988 1 x + -0.986 1 xxx + -0.986 1 xyy + 1.013 1 x_22 + 1.019 1 x_11 + -1.016 b y_22 + -1.017 b y_11 + -1.000 c yyy + -1.000 c xxy\n", + "(y)' = 0.988 1 y + -0.986 1 yyy + -0.986 1 xxy + 1.014 1 y_22 + 1.018 1 y_11 + 1.013 b x_22 + 1.018 b x_11 + 0.999 c xxx + 1.000 c xyy\n", + "31.685000108089298\n", "['1 x', '1 y', '1 xxx', '1 yyy', '1 xxy', '1 xyy', '1 x_2', '1 y_2', '1 x_22', '1 y_22', '1 x_1', '1 y_1', '1 x_12', '1 y_12', '1 x_11', '1 y_11', 'b x', 'b y', 'b xxx', 'b yyy', 'b xxy', 'b xyy', 'b x_2', 'b y_2', 'b x_22', 'b y_22', 'b x_1', 'b y_1', 'b x_12', 'b y_12', 'b x_11', 'b y_11', 'c x', 'c y', 'c xxx', 'c yyy', 'c xxy', 'c xyy', 'c x_2', 'c y_2', 'c x_22', 'c y_22', 'c x_1', 'c y_1', 'c x_12', 'c y_12', 'c x_11', 'c y_11']\n" ] } @@ -618,7 +640,7 @@ }, { "cell_type": "markdown", - "id": "10db1fa6", + "id": "717d8136", "metadata": {}, "source": [ "Modifying PDELibrary to accept spectral derivatives improves the fit a bit" @@ -626,8 +648,8 @@ }, { "cell_type": "code", - "execution_count": 14, - "id": "69bff99b", + "execution_count": 15, + "id": "4c49a9bf", "metadata": {}, "outputs": [ { @@ -636,7 +658,7 @@ "text": [ "(x)' = 0.999 1 x + -0.999 1 xxx + -0.999 1 xyy + 0.999 1 x_22 + 0.999 1 x_11 + -0.999 b y_22 + -0.999 b y_11 + -0.999 c yyy + -0.999 c xxy\n", "(y)' = 0.999 1 y + -0.999 1 yyy + -0.999 1 xxy + 0.999 1 y_22 + 0.999 1 y_11 + 0.999 b x_22 + 0.999 b x_11 + 0.999 c xxx + 0.999 c xyy\n", - "79.05633119000001\n", + "32.55370213557035\n", "['1 x', '1 y', '1 xxx', '1 yyy', '1 xxy', '1 xyy', '1 x_2', '1 y_2', '1 x_22', '1 y_22', '1 x_1', '1 y_1', '1 x_12', '1 y_12', '1 x_11', '1 y_11', 'b x', 'b y', 'b xxx', 'b yyy', 'b xxy', 'b xyy', 'b x_2', 'b y_2', 'b x_22', 'b y_22', 'b x_1', 'b y_1', 'b x_12', 'b y_12', 'b x_11', 'b y_11', 'c x', 'c y', 'c xxx', 'c yyy', 'c xxy', 'c xyy', 'c x_2', 'c y_2', 'c x_22', 'c y_22', 'c x_1', 'c y_1', 'c x_12', 'c y_12', 'c x_11', 'c y_11']\n" ] } @@ -689,7 +711,7 @@ }, { "cell_type": "markdown", - "id": "418d9799", + "id": "46cbe360", "metadata": {}, "source": [ "If we ensure the same domain cells are used in the feature library and the parameter library (by reseeding np.random), the WeakLibrary can be used with the ParameterLibrary. (In this case, the parameters need to be constants, so that the tensor product of two WeakLibrary corresponds to the correct weak features.) The fit is perfect and super fast!" @@ -697,8 +719,8 @@ }, { "cell_type": "code", - "execution_count": 15, - "id": "42c92929", + "execution_count": 16, + "id": "8c363dac", "metadata": { "scrolled": false }, @@ -709,7 +731,7 @@ "text": [ "(x)' = 1.000 1 x + -1.000 1 xxx + -1.000 1 xyy + 1.000 1 x_22 + 1.000 1 x_11 + -1.000 b y_22 + -1.000 b y_11 + -1.000 c yyy + -1.000 c xxy\n", "(y)' = 1.000 1 y + -1.000 1 yyy + -1.000 1 xxy + 1.000 1 y_22 + 1.000 1 y_11 + 1.000 b x_22 + 1.000 b x_11 + 1.000 c xxx + 1.000 c xyy\n", - "16.798297004999995\n", + "10.251448128838092\n", "['1 x', '1 y', '1 xxx', '1 yyy', '1 xxy', '1 xyy', '1 x_2', '1 y_2', '1 x_22', '1 y_22', '1 x_1', '1 y_1', '1 x_12', '1 y_12', '1 x_11', '1 y_11', 'b x', 'b y', 'b xxx', 'b yyy', 'b xxy', 'b xyy', 'b x_2', 'b y_2', 'b x_22', 'b y_22', 'b x_1', 'b y_1', 'b x_12', 'b y_12', 'b x_11', 'b y_11', 'c x', 'c y', 'c xxx', 'c yyy', 'c xxy', 'c xyy', 'c x_2', 'c y_2', 'c x_22', 'c y_22', 'c x_1', 'c y_1', 'c x_12', 'c y_12', 'c x_11', 'c y_11']\n" ] } @@ -768,7 +790,7 @@ }, { "cell_type": "markdown", - "id": "2a442d6e", + "id": "8eec131a", "metadata": {}, "source": [ "### Oregenator model for BZ chemical reaction" @@ -776,7 +798,7 @@ }, { "cell_type": "markdown", - "id": "973f223f", + "id": "be621619", "metadata": {}, "source": [ "We consider the coupled reaction diffusion equations\n", @@ -787,13 +809,39 @@ "\n", "$\\dot{C}_Z = 2k_3C_AC_HC_X-k_5C_BC_Z + D_Z \\nabla^2 C_Z$\n", "\n", - "which constitute the classical Oregonator model for the BZ chemical reaction. We fix all parameters except $C_b=C_b^c(1 - \\mu)$, and a supercritical Hopf bifurcation occurs at $\\mu=0$. In the spatially homogeneous case, a small, stable limit cycle initially emerges for $\\mu>0$, but this limit cycle rapid expands in a canard explosion around $\\mu\\approx 0.15$." + "which constitute the classical Oregonator model for the BZ chemical reaction. We fix all parameters except $C_b=C_b^c(1 - \\mu)$, and a supercritical Hopf bifurcation occurs at $\\mu=0$. " + ] + }, + { + "cell_type": "markdown", + "id": "c492f7c4", + "metadata": {}, + "source": [ + "Generate several trajectories. This will take a few hours on the first run, but files will be saved and reloaded subsequently." ] }, { "cell_type": "code", - "execution_count": 16, - "id": "c3ac9f07", + "execution_count": 3, + "id": "f4000e5f", + "metadata": {}, + "outputs": [], + "source": [ + "utils.generate_oregonator_trajectories()" + ] + }, + { + "cell_type": "markdown", + "id": "d933ecb0", + "metadata": {}, + "source": [ + "In the spatially homogeneous case, a small, stable limit cycle initially emerges for $\\mu>0$, but this limit cycle rapid expands in a canard explosion around $\\mu\\approx 0.15$." + ] + }, + { + "cell_type": "code", + "execution_count": 18, + "id": "4e4e486f", "metadata": {}, "outputs": [ { @@ -805,14 +853,12 @@ }, { "data": { - "image/png": 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\n", 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", 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" ] }, - "metadata": { - "needs_background": "light" - }, + "metadata": {}, "output_type": "display_data" } ], @@ -824,8 +870,6 @@ "Zs = []\n", "for b in bs3:\n", " t1 = 1e2 / (1 - b) # Domain size in t directions\n", - " if __name__ == \"testing\":\n", - " t1 = 1e1 / (1 - b)\n", " dt = 5.94804 / 100\n", "\n", " X, Y, Z = utils.get_homogeneous_oregonator_trajectory(b, t1, dt)\n", @@ -855,155 +899,146 @@ }, { "cell_type": "markdown", - "id": "da73238a", + "id": "15e98758", "metadata": {}, "source": [ - "Integrate six trajectories with varying bs. This will take several hours to generate and save the data for the first time, but it will reload the files if they are present from a previous run." + "Plot a finely resolved trajectory above the canard explosion, with $\\mu=0.16$. The dynamics exhibit more extreme spatiotemporal variations than exhibited by the CGLE." ] }, { "cell_type": "code", - "execution_count": 17, - "id": "71c22095", - "metadata": {}, - "outputs": [], + "execution_count": 20, + "id": "651457b1", + "metadata": { + "scrolled": true + }, + "outputs": [ + { + "data": { + "image/png": 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", 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], "source": [ - "bs = np.linspace(0.88, 0.98, 6)\n", - "n = 128 # Number of spatial points in each direction\n", - "Nt = 1000 # Number of temporal interpolation points\n", - "\n", - "if __name__ == \"testing\":\n", - " Nt = 100\n", - " n = 32\n", - "\n", - "X0, Y0, Z0 = utils.get_oregonator_ic(2e-1, 0, spatial_grid)\n", - "u0 = np.concatenate([X0.ravel(), Y0.ravel(), Z0.ravel()])\n", - "\n", - "if not os.path.exists(\"data/oregonator\"):\n", - " os.mkdir(\"data/oregonator\")\n", - "if not np.all(\n", - " [\n", - " os.path.exists(\"data/oregonator/oregonator_\" + str(i) + \".npy\")\n", - " for i in range(len(bs))\n", - " ]\n", - "):\n", - " for j in range(len(bs)):\n", - " if not os.path.exists(\"data/oregonator/oregonator_\" + str(j) + \".npy\"):\n", - " b = bs[j]\n", - " print(j, b)\n", - " L = 1 / (1 - b) ** 0.5 # Domain size in X and Y directions\n", - " spatial_grid = np.zeros((n, n, 2))\n", - " spatial_grid[:, :, 0] = L / n * np.arange(n)[:, np.newaxis]\n", - " spatial_grid[:, :, 1] = L / n * np.arange(n)[np.newaxis, :]\n", - " t1 = 1e3 / (1 - b) # Domain size in t directions\n", - " if __name__ == \"testing\":\n", - " t1 = 20\n", - " dt = 5.94804\n", - "\n", - " start = timeit.default_timer()\n", - "\n", - " X, Y, Z = utils.get_oregonator_trajectory(u0, b, t1, dt, spatial_grid)\n", - "\n", - " x = np.array([X, Y, Z]).transpose(1, 2, 3, 0)\n", - " fi = interp1d(np.arange(x.shape[2]), x, axis=2)\n", - " x = fi(np.arange(Nt) / (Nt - 1) * (x.shape[2] - 1))\n", - " plt.plot(np.mean(x[:, :, :, 0], axis=(0, 1)))\n", - " plt.plot(np.mean(x[:, :, :, 2], axis=(0, 1)))\n", - " plt.show()\n", - " plt.imshow(x[:, :, -1, 0])\n", - " plt.show()\n", - "\n", - " np.save(\"data/oregonator/oregonator_\" + str(j), x)\n", - " stop = timeit.default_timer()\n", - " print(stop - start)\n", - "\n", - "xs = [np.load(\"data/oregonator/oregonator_\" + str(i) + \".npy\") for i in range(len(bs))]" + "plt.figure(figsize=(3, 4))\n", + "x = np.load(\"data/oregonator/canard_0.npy\")\n", + "plt.imshow(x[:, :, -1, 0])\n", + "plt.clim(2e-6, 8e-6)\n", + "plt.xticks([])\n", + "plt.yticks([])\n", + "plt.savefig(\"fig2c.pdf\")\n", + "plt.show()\n", + "plt.figure(figsize=(3, 4))\n", + "x = np.load(\"data/oregonator/canard_1.npy\")\n", + "plt.imshow(x[:, :, -1, 0])\n", + "plt.clim(2e-6, 8e-6)\n", + "plt.xticks([])\n", + "plt.yticks([])\n", + "plt.savefig(\"fig2d.pdf\")\n", + "plt.show()\n", + "# utils.animate_oregonator()" ] }, { "cell_type": "markdown", - "id": "3efc8266", + "id": "b3be9466", "metadata": {}, "source": [ - "The SINDyCP fit reveals variations in the normal-form parameter that correct the weakly-nonlinear theory away from the instability, and these variations become extreme at the canard explosion. First, split the trajectories into training and test data and define a quadrative parameter and a quintic feature libraries." + "Do a SINDyCP fit on unprocessed decaying trajectories to localize the Hopf point" ] }, { "cell_type": "code", - "execution_count": 18, - "id": "fde9313b", + "execution_count": 21, + "id": "1d6d6baf", "metadata": {}, - "outputs": [], + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "(X)' = 0.374 1 X + -1.832 1 Z + 0.455 C_B X + -0.292 C_B Z\n", + "(Z)' = -0.035 1 X + 0.028 1 Z + 0.977 C_B X + -0.968 C_B Z\n", + "14.082358093932271\n" + ] + }, + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], "source": [ + "bs = np.concatenate([np.linspace(1.05, 1.1, 6), np.linspace(0.95, 0.99, 5)])\n", + "b0 = 0.95\n", + "L = 1 / np.abs(1 - b0) ** 0.5 # Domain size in X and Y directions\n", + "spatial_grid = np.zeros((n, n, 2))\n", + "spatial_grid[:, :, 0] = L / n * np.arange(n)[:, np.newaxis]\n", + "spatial_grid[:, :, 1] = L / n * np.arange(n)[np.newaxis, :]\n", + "t1 = 2e1 / np.abs(1 - b0) # Domain size in t directions\n", + "dt = 5.94804 / 10\n", + "n = 128\n", + "\n", + "xs = [np.load(\"data/oregonator/oregonator2_\" + str(i) + \".npy\") for i in range(len(bs))]\n", "xs_train = []\n", "xs_test = []\n", - "us = ((1 - bs) ** 0.5).tolist()\n", + "scales = []\n", + "\n", + "us = (0.786642 * bs).tolist()\n", + "x0s = []\n", + "Nt = 200\n", "for i in range(len(bs)):\n", - " U = xs[i][:, :, 2 * Nt // 5 :, [0, 2]]\n", - " U = U - np.mean(U, axis=(0, 1, 2))\n", - " U = U / np.mean(U**2, axis=(0, 1, 2)) ** 0.5\n", - " xs_train = xs_train + [U[:, :, : Nt // 20]]\n", - " xs_test = xs_test + [U[:, :, -Nt // 20 :]]\n", - " # #Using more data for a better fit requires a lot of memory (>100gb)\n", - " # xs_train=xs_train+[U[:,:,:2*Nt//5]]\n", - " # xs_test=xs_test+[U[:,:,2*Nt//5:]]\n", - "\n", - "# rescale to a single time step and spatial_grid over all trajectories\n", - "spatial_grid = np.zeros((n, n, 2))\n", - "spatial_grid[:, :, 0] = 2 * np.arange(n)[:, np.newaxis]\n", - "spatial_grid[:, :, 1] = 2 * np.arange(n)[np.newaxis, :]\n", - "nt = xs_train[0].shape[2]\n", - "dt = 1e2 / nt\n", + " x0 = np.mean(xs[i][:, :, -100:], axis=(0, 1, 2))\n", + " x0s = x0s + [x0]\n", + " scale = x0\n", + " xs_train = xs_train + [\n", + " (xs[i][:, :, Nt : 2 * Nt, [0, 2]] - x0[[0, 2]]) / scale[[0, 2]]\n", + " ]\n", + " xs_test = xs_train + [\n", + " (xs[i][:, :, 2 * Nt : 3 * Nt, [0, 2]] - x0[[0, 2]]) / scale[[0, 2]]\n", + " ]\n", + " scales = scales + [scale]\n", "\n", "library_functions = [\n", " lambda x: x,\n", - " lambda x: x**2,\n", - " lambda x, y: x * y,\n", - " lambda x: x**3,\n", - " lambda x, y: x**2 * y,\n", - " lambda x, y: y**2 * x,\n", - " lambda x: x**4,\n", - " lambda x, y: x**3 * y,\n", - " lambda x, y: x**2 * y**2,\n", - " lambda x, y: x * y**3,\n", - " lambda x: x**5,\n", - " lambda x, y: x**4 * y,\n", - " lambda x, y: x**3 * y**2,\n", - " lambda x, y: x**2 * y**3,\n", - " lambda x, y: x * y**4,\n", "]\n", "function_names = [\n", " lambda x: x,\n", - " lambda x: x + x,\n", - " lambda x, y: x + y,\n", - " lambda x: x + x + x,\n", - " lambda x, y: x + x + y,\n", - " lambda x, y: x + y + y,\n", - " lambda x: x + x + x + x,\n", - " lambda x, y: x + x + x + y,\n", - " lambda x, y: x + x + y + y,\n", - " lambda x, y: x + y + y + y,\n", - " lambda x: x + x + x + x + x,\n", - " lambda x, y: x + x + x + x + y,\n", - " lambda x, y: x + x + x + y + y,\n", - " lambda x, y: x + x + y + y + y,\n", - " lambda x, y: x + y + y + y + y,\n", "]\n", + "\n", "feature_lib = ps.PDELibrary(\n", " library_functions=library_functions,\n", " derivative_order=2,\n", " spatial_grid=spatial_grid,\n", - " temporal_grid=dt * np.arange(nt),\n", " include_interaction=False,\n", - " implicit_terms=True,\n", + " include_bias=True,\n", " function_names=function_names,\n", " differentiation_method=ps.SpectralDerivative,\n", + " multiindices=[],\n", ")\n", - "feature_lib.multiindices = np.array([[0, 0, 1], [0, 2, 0], [2, 0, 0]])\n", - "feature_lib.num_derivatives = len(feature_lib.multiindices)\n", "\n", - "library_functions = [lambda x: x, lambda x: x**2]\n", - "function_names = [lambda x: x, lambda x: x + x]\n", + "library_functions = [lambda x: x]\n", + "function_names = [lambda x: x]\n", "\n", "parameter_lib = ps.PDELibrary(\n", " library_functions=library_functions,\n", @@ -1017,114 +1052,19 @@ " feature_library=feature_lib,\n", " num_parameters=1,\n", " num_features=2,\n", - ")" - ] - }, - { - "cell_type": "markdown", - "id": "cd3002b1", - "metadata": {}, - "source": [ - "We run the fit with a constrained SR3 optimizer, which allows us to ensure that the derivative terms remain rotationally invariant. Then we evaluate the scores on the test data." - ] - }, - { - "cell_type": "code", - "execution_count": 19, - "id": "e22b81f0", - "metadata": { - "scrolled": true - }, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "/Users/zack/pysindy/pysindy/optimizers/constrained_sr3.py:439: ConvergenceWarning: SR3._reduce did not converge after 30 iterations.\n", - " warnings.warn(\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "(X)' = -0.120 1 X + 0.260 1 Y + -0.018 1 XX + -0.113 1 YY + 0.044 1 XY + -0.031 1 XXX + 0.133 1 YYY + 0.179 1 XXY + -0.226 1 XYY + 0.036 1 XXXX + 0.066 1 YYYY + -0.132 1 XXXY + 0.252 1 XXYY + -0.197 1 XYYY + -0.015 1 YYYYY + -0.026 1 XXXXY + 0.086 1 XXXYY + -0.118 1 XXYYY + 0.074 1 XYYYY + 0.027 1 X_t + 0.049 1 Y_t + 0.177 1 X_22 + 0.177 1 X_11 + 0.037 mu X + 1.278 mu Y + 0.187 mu XX + 1.518 mu YY + -0.285 mu XY + -0.618 mu XXX + -0.592 mu YYY + -0.048 mu XXY + 0.531 mu XYY + -0.648 mu XXXX + -1.041 mu YYYY + 2.086 mu XXXY + -3.718 mu XXYY + 2.855 mu XYYY + 0.007 mu XXXXX + 0.351 mu YYYYY + 0.679 mu XXXXY + -1.606 mu XXXYY + 2.021 mu XXYYY + -1.253 mu XYYYY + -2.100 mu X_t + -0.314 mu Y_t + 0.428 mu X_22 + 0.594 mu Y_22 + 0.428 mu X_11 + 0.594 mu Y_11 + -0.369 mumu X + -3.120 mumu Y + -0.550 mumu XX + -2.445 mumu YY + 0.767 mumu XY + 1.133 mumu XXX + 2.022 mumu YYY + 1.656 mumu XXY + -2.872 mumu XYY + 1.154 mumu XXXX + 1.082 mumu YYYY + -3.273 mumu XXXY + 5.123 mumu XXYY + -3.507 mumu XYYY + -0.577 mumu YYYYY + -1.494 mumu XXXXY + 3.230 mumu XXXYY + -3.798 mumu XXYYY + 2.226 mumu XYYYY + 5.781 mumu X_t + 0.178 mumu Y_t + -2.439 mumu X_22 + -1.093 mumu Y_22 + -2.439 mumu X_11 + -1.093 mumu Y_11\n", - "(Y)' = -0.288 1 X + 0.235 1 Y + 0.007 1 XX + -0.050 1 YY + 0.062 1 XY + -0.087 1 XXX + 0.019 1 YYY + 0.145 1 XXY + -0.119 1 XYY + 0.018 1 YYYY + -0.066 1 XXXY + 0.113 1 XXYY + -0.080 1 XYYY + 0.006 1 XXXXX + -0.027 1 XXXXY + 0.055 1 XXXYY + -0.055 1 XXYYY + 0.018 1 XYYYY + -0.042 1 X_t + 0.152 1 Y_t + -0.039 1 X_22 + 0.143 1 Y_22 + -0.039 1 X_11 + 0.143 1 Y_11 + -0.778 mu X + 0.774 mu Y + -0.276 mu XX + 0.705 mu YY + -0.749 mu XY + -0.085 mu XXX + -0.116 mu YYY + -0.009 mu XXY + -0.008 mu XYY + 0.057 mu XXXX + -0.399 mu YYYY + 1.081 mu XXXY + -1.735 mu XXYY + 1.322 mu XYYY + -0.181 mu XXXXX + 0.087 mu YYYYY + 0.450 mu XXXXY + -0.836 mu XXXYY + 0.863 mu XXYYY + -0.417 mu XYYYY + 0.461 mu X_t + -2.958 mu Y_t + -0.045 mu X_22 + 1.434 mu Y_22 + -0.045 mu X_11 + 1.434 mu Y_11 + 2.109 mumu X + -2.168 mumu Y + 0.386 mumu XX + -1.535 mumu YY + 1.938 mumu XY + -0.428 mumu XXX + 0.897 mumu YYY + 1.144 mumu XXY + -1.297 mumu XYY + -0.032 mumu XXXX + 0.433 mumu YYYY + -1.386 mumu XXXY + 2.018 mumu XXYY + -1.459 mumu XYYY + 0.408 mumu XXXXX + -0.149 mumu YYYYY + -1.051 mumu XXXXY + 1.691 mumu XXXYY + -1.545 mumu XXYYY + 0.684 mumu XYYYY + -1.082 mumu X_t + 6.827 mumu Y_t + 0.199 mumu X_22 + -4.075 mumu Y_22 + 0.199 mumu X_11 + -4.075 mumu Y_11\n", - "65.33329043600003\n", - "[0.91026387 0.97176326]\n" - ] - } - ], - "source": [ - "shape = np.array(xs_train[0].shape)\n", - "shape[-1] = 1\n", - "lib.fit(np.concatenate([xs_train[0], us[0] * np.ones(shape)], axis=-1))\n", - "\n", - "n_targets = 2\n", - "num_mus = 1 + len(library_functions)\n", - "constraint_rhs = np.zeros(4 * num_mus)\n", - "n_features = len(lib.get_feature_names())\n", - "constraint_lhs = np.zeros((4 * num_mus, n_targets * n_features))\n", - "x11inds = np.where(\n", - " np.array([name.split(\" \")[1] for name in lib.get_feature_names()]) == \"x0_11\"\n", - ")[0]\n", - "x22inds = np.where(\n", - " np.array([name.split(\" \")[1] for name in lib.get_feature_names()]) == \"x0_22\"\n", - ")[0]\n", - "y11inds = np.where(\n", - " np.array([name.split(\" \")[1] for name in lib.get_feature_names()]) == \"x1_11\"\n", - ")[0]\n", - "y22inds = np.where(\n", - " np.array([name.split(\" \")[1] for name in lib.get_feature_names()]) == \"x1_22\"\n", - ")[0]\n", - "\n", - "constraint = 0\n", - "for i in range(num_mus):\n", - " constraint_lhs[constraint, x11inds[i]] = 1\n", - " constraint_lhs[constraint, x22inds[i]] = -1\n", - " constraint = constraint + 1\n", - " constraint_lhs[constraint, x11inds[i] + n_features] = 1\n", - " constraint_lhs[constraint, x22inds[i] + n_features] = -1\n", - " constraint = constraint + 1\n", - "\n", - " constraint_lhs[constraint, y11inds[i]] = 1\n", - " constraint_lhs[constraint, y22inds[i]] = -1\n", - " constraint = constraint + 1\n", - " constraint_lhs[constraint, y11inds[i] + n_features] = 1\n", - " constraint_lhs[constraint, y22inds[i] + n_features] = -1\n", - " constraint = constraint + 1\n", - "\n", - "opt = ps.ConstrainedSR3(\n", - " constraint_rhs=constraint_rhs,\n", - " constraint_lhs=constraint_lhs,\n", - " thresholder=\"l1\",\n", - " tol=1e-3,\n", - " threshold=1e-2,\n", ")\n", - "if __name__ == \"testing\":\n", - " opt = ps.ConstrainedSR3(\n", - " constraint_rhs=constraint_rhs,\n", - " constraint_lhs=constraint_lhs,\n", - " thresholder=\"l1\",\n", - " tol=1e-3,\n", - " threshold=1e-6,\n", - " )\n", "\n", - "model = ps.SINDy(feature_library=lib, optimizer=opt, feature_names=[\"X\", \"Y\", \"mu\"])\n", + "opt = ps.STLSQ(threshold=1e-2, alpha=1e-12, normalize_columns=False)\n", + "\n", + "model = ps.SINDy(feature_library=lib, optimizer=opt, feature_names=[\"X\", \"Z\", \"C_B\"])\n", "\n", "start = timeit.default_timer()\n", - "model.fit(xs_train, u=us, t=dt, multiple_trajectories=True)\n", + "model.fit(xs_train[:6], u=us[:6], t=dt, multiple_trajectories=True)\n", "model.print()\n", "stop = timeit.default_timer()\n", "print(stop - start)\n", - "print(\n", - " model.score(\n", - " xs_test, u=us, t=dt, multioutput=\"raw_values\", multiple_trajectories=True\n", - " )\n", - ")\n", - "\n", "scores = []\n", - "for i in range(len(xs_train)):\n", + "for i in range(len(us)):\n", " scores = scores + [\n", " model.score(\n", " xs_test[i],\n", @@ -1133,152 +1073,466 @@ " multioutput=\"raw_values\",\n", " multiple_trajectories=False,\n", " )\n", - " ]" + " ]\n", + "\n", + "plt.subplots(2, 2, figsize=(10, 6))\n", + "\n", + "plt.subplot(2, 2, 1)\n", + "for x in xs_train[:6]:\n", + " plt.plot(dt * np.arange(200), np.mean(x[:, :, :, 0], axis=(0, 1)))\n", + "plt.ylabel(r\"$\\langle \\tilde{X} \\rangle$\")\n", + "locs, labels = plt.xticks()\n", + "plt.xticks(locs, [])\n", + "plt.xlim(-5, 205 * dt)\n", + "\n", + "plt.subplot(2, 2, 3)\n", + "for x in xs_train[:6]:\n", + " plt.plot(dt * np.arange(200), np.mean(x[:, :, :, 1], axis=(0, 1)))\n", + "plt.xlim(-5, 205 * dt)\n", + "\n", + "plt.xlabel(\"t\")\n", + "plt.ylabel(r\"$\\langle \\tilde{Y} \\rangle$\")\n", + "\n", + "plt.subplot(2, 2, 2)\n", + "plt.scatter(0.786642 * bs[:6], 1 - np.mean(scores[:6], axis=1))\n", + "plt.scatter(0.786642 * bs[6:], 1 - np.mean(scores[6:], axis=1))\n", + "plt.yscale(\"log\")\n", + "plt.ylabel(r\"$1-R^2$\")\n", + "locs, labels = plt.xticks()\n", + "plt.xticks(locs, [])\n", + "\n", + "plt.xlim(0.73, 0.88)\n", + "\n", + "\n", + "plt.subplot(2, 2, 4)\n", + "bs2 = np.flip(np.linspace(0.92, 1.15, 1000))\n", + "lambdas, J = utils.get_linear_eigenvalues(model, 0.786642 * bs2)\n", + "plt.plot(0.786642 * bs2, np.real(lambdas)[:, 0])\n", + "plt.plot(0.786642 * bs2, 0 * np.real(lambdas)[:, 0], c=\"black\", ls=\":\")\n", + "plt.xlabel(r\"$C_B$\")\n", + "plt.ylabel(r\"$Re(\\lambda)$\")\n", + "plt.xlim(0.73, 0.88)\n", + "plt.tight_layout()\n", + "plt.savefig(\"figs3.pdf\")\n", + "plt.show()" ] }, { "cell_type": "markdown", - "id": "b678a71d", + "id": "e92cc7c1", "metadata": {}, "source": [ - "Plot the normal-form parameters as a function of $\\varepsilon$. The fit agrees with the weakly nonlinear prediction in the $\\mu\\to 0$ limit, and the variation with $\\mu$ represents a correction to the theory. The variations become extreme around the canard explosion that occurs above $\\mu^{1/2}=0.35$." + "Construct the amplitude from the same data and attempt a SINDyCP fit" ] }, { "cell_type": "code", - "execution_count": 20, - "id": "a0d9e882", - "metadata": { - "scrolled": true - }, + "execution_count": 22, + "id": "52d8f59c", + "metadata": {}, "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "(X)' = 0.191 1 X + 0.163 1 Z + -1.628 1 XX + -1.356 1 ZZ + 0.834 1 XZ + -24.868 1 XXX + 28.160 1 ZZZ + 33.179 1 XXZ + -16.636 1 XZZ + 1.231 1 X_22 + 0.349 1 Z_22 + 1.214 1 X_11 + 0.350 1 Z_11 + -1.975 mu X + -1.542 mu Z + 11.824 mu XX + 12.331 mu ZZ + -4.941 mu XZ + 126.916 mu XXX + -44.359 mu ZZZ + -80.715 mu XXZ + 65.411 mu XZZ + -0.484 mu X_22 + -1.361 mu Z_22 + -0.344 mu X_11 + -1.390 mu Z_11 + 8.690 mumu X + 25.604 mumu Z + 18.764 mumu XX + 24.189 mumu ZZ + 3.051 mumu XZ + 281.099 mumu XXX + -74.518 mumu ZZZ + -118.409 mumu XXZ + 141.659 mumu XZZ + -0.957 mumu X_22 + -3.382 mumu Z_22 + -0.677 mumu X_11 + -3.459 mumu Z_11\n", + "(Z)' = -0.246 1 X + -0.981 1 XX + 0.456 1 ZZ + -0.862 1 XZ + -27.408 1 XXX + -15.098 1 ZZZ + -14.838 1 XXZ + -17.396 1 XZZ + -0.172 1 X_22 + 1.178 1 Z_22 + -0.161 1 X_11 + 1.177 1 Z_11 + 2.401 mu X + 8.050 mu XX + -1.047 mu ZZ + 4.977 mu XZ + 40.022 mu XXX + 37.492 mu ZZZ + 29.913 mu XXZ + -33.202 mu XZZ + -0.320 mu X_22 + -0.411 mu X_11 + -22.813 mumu X + 14.423 mumu Z + 14.929 mumu XX + 12.950 mumu ZZ + 8.072 mumu XZ + 55.129 mumu XXX + 24.894 mumu ZZZ + 15.034 mumu XXZ + -72.045 mumu XZZ + -1.089 mumu X_22 + 0.272 mumu Z_22 + -1.294 mumu X_11 + 0.233 mumu Z_11\n", + "72.93399915378541\n" + ] + }, { "data": { - "image/png": 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\n", 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", 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" ] }, - "metadata": { - "needs_background": "light" - }, + "metadata": {}, "output_type": "display_data" } ], "source": [ - "bs2 = np.linspace(0.85, 0.995, 1000)\n", - "alphas, betas = utils.get_normal_form_parameters(model, bs2)\n", + "bs = np.concatenate([np.linspace(1.05, 1.1, 6), np.linspace(0.95, 0.99, 5)])\n", + "n = 128\n", "\n", - "plt.subplots(2, 1, figsize=(5, 4))\n", + "xs_train = []\n", + "xs_test = []\n", + "scales = []\n", + "us = (1 - bs).tolist()\n", + "x0s = []\n", + "Nt = xs[0].shape[2] // 5 // 10 * 10\n", + "for i in range(len(bs)):\n", + " x = np.load(\"data/oregonator/oregonator2_\" + str(i) + \".npy\")\n", + " Nt = 10\n", + " x0 = np.mean(x[:, :, -Nt:, [0, 2]], axis=(0, 1, 2))\n", + " U = (x[:, :, Nt:, [0, 2]] - x0) / x0\n", + " nt = U.shape[2] // 10 * 10\n", + " A = np.mean(\n", + " (\n", + " (U[:, :, :, 0] + 1j * U[:, :, :, 1])\n", + " * np.exp(-1j * 2 * np.pi / 10 * np.arange(U.shape[2]))\n", + " )[:, :, :nt].reshape(n, n, nt // 10, 10),\n", + " axis=3,\n", + " )\n", + " x_train = np.array([np.real(A), np.imag(A)]).transpose(1, 2, 3, 0)[:, :, : nt // 10]\n", + " x_test = np.array([np.real(A), np.imag(A)]).transpose(1, 2, 3, 0)[\n", + " :, :, nt // 10 // 2 :\n", + " ]\n", + " xs_train = xs_train + [x_train]\n", + " xs_test = xs_test + [x_test]\n", "\n", - "plt.subplot(2, 1, 1)\n", - "plt.scatter((1 - bs) ** 0.5, 1 - np.mean(scores, axis=1))\n", - "plt.ylabel(\"$1-R^2$\")\n", - "plt.gca().set_xticks([0.1, 0.15, 0.2, 0.25, 0.3, 0.35])\n", - "plt.gca().set_xticklabels([])\n", - "plt.xlim((1 - bs2[-1]) ** 0.5, (1 - bs2[0]) ** 0.5)\n", - "plt.yscale(\"log\")\n", + "L = 2e2 # Domain size in X and Y directions\n", + "spatial_grid = np.zeros((n, n, 2))\n", + "spatial_grid[:, :, 0] = L / n * np.arange(n)[:, np.newaxis]\n", + "spatial_grid[:, :, 1] = L / n * np.arange(n)[np.newaxis, :]\n", + "dt = 1e-1\n", + "\n", + "library_functions = [\n", + " lambda x: x,\n", + " lambda x: x**2,\n", + " lambda x, y: x * y,\n", + " lambda x: x**3,\n", + " lambda x, y: x**2 * y,\n", + " lambda x, y: y**2 * x,\n", + "]\n", + "function_names = [\n", + " lambda x: x,\n", + " lambda x: x + x,\n", + " lambda x, y: x + y,\n", + " lambda x: x + x + x,\n", + " lambda x, y: x + x + y,\n", + " lambda x, y: x + y + y,\n", + "]\n", + "\n", + "feature_lib = ps.PDELibrary(\n", + " library_functions=library_functions,\n", + " derivative_order=2,\n", + " spatial_grid=spatial_grid,\n", + " include_interaction=False,\n", + " include_bias=True,\n", + " function_names=function_names,\n", + " differentiation_method=ps.SpectralDerivative,\n", + ")\n", + "\n", + "library_functions = [lambda x: np.abs(x) ** 0.5, lambda x: x]\n", + "function_names = [lambda x: x, lambda x: x + x]\n", + "\n", + "parameter_lib = ps.PDELibrary(\n", + " library_functions=library_functions,\n", + " derivative_order=0,\n", + " include_interaction=False,\n", + " function_names=function_names,\n", + " include_bias=True,\n", + ")\n", + "lib = ps.ParameterizedLibrary(\n", + " parameter_library=parameter_lib,\n", + " feature_library=feature_lib,\n", + " num_parameters=1,\n", + " num_features=2,\n", + ")\n", + "\n", + "opt = ps.STLSQ(threshold=1e-1, alpha=1e-12, normalize_columns=False)\n", + "\n", + "model = ps.SINDy(feature_library=lib, optimizer=opt, feature_names=[\"X\", \"Z\", \"mu\"])\n", + "\n", + "start = timeit.default_timer()\n", + "model.fit(xs_train[:6], u=us[:6], t=dt, multiple_trajectories=True)\n", + "model.print()\n", + "stop = timeit.default_timer()\n", + "print(stop - start)\n", + "scores = []\n", + "for i in range(len(us)):\n", + " scores = scores + [\n", + " model.score(\n", + " xs_test[i],\n", + " u=us[i],\n", + " t=dt,\n", + " multioutput=\"raw_values\",\n", + " multiple_trajectories=False,\n", + " )\n", + " ]\n", + "\n", + "bs2 = np.linspace(0.9, 1.1, 1000)\n", + "alphas, betas = utils.get_normal_form_parameters(model, 1 - bs2)\n", + "\n", + "plt.subplots(2, 2, figsize=(10, 6))\n", + "\n", + "plt.subplot(2, 2, 1)\n", + "for x in xs_train[:6]:\n", + " plt.plot(5.94804 * np.arange(x.shape[2]), np.mean(x[:, :, :, 0], axis=(0, 1)))\n", + "\n", + "plt.ylabel(r\"$\\langle X \\rangle$\")\n", + "locs, labels = plt.xticks()\n", + "plt.xticks(locs, [])\n", + "plt.xlim(0, 650 * 5.94804 / 10)\n", + "\n", + "plt.subplot(2, 2, 3)\n", + "for x in xs_train[:6]:\n", + " plt.plot(5.94804 * np.arange(x.shape[2]), np.mean(x[:, :, :, 1], axis=(0, 1)))\n", + "plt.xlim(0, 650 * 5.94804 / 10)\n", + "\n", + "plt.xlabel(\"t\")\n", + "plt.ylabel(r\"$\\langle Y \\rangle$\")\n", + "\n", + "plt.subplot(2, 2, 2)\n", + "plt.scatter((1 - bs)[:6], 1 - np.mean(scores[:6], axis=1))\n", + "plt.scatter((1 - bs)[6:], 1 - np.mean(scores[6:], axis=1))\n", + "plt.yscale(\"log\")\n", + "plt.yscale(\"log\")\n", + "plt.ylabel(r\"$1-R^2$\")\n", + "plt.xlim(-0.125, 0.125)\n", + "locs, labels = plt.xticks()\n", + "plt.xticks(locs, [])\n", + "plt.xlim(-0.125, 0.125)\n", + "\n", + "plt.subplot(2, 2, 4)\n", + "bs2 = np.linspace(0.875, 1.125, 1000)\n", + "alphas, betas = utils.get_normal_form_parameters(model, 1 - bs2)\n", + "plt.plot((1 - bs2), np.sign(1 - bs2) * (betas / (0.17272)), label=r\"$b/b_0$\")\n", + "plt.plot((1 - bs2), np.sign(1 - bs2) * (alphas / (2.37882)), label=r\"$c/c_0$\")\n", + "plt.ylim(0, 3)\n", + "# plt.yscale('log')\n", + "plt.legend()\n", + "plt.ylabel(\"Normal-form\\nparameters\")\n", + "plt.xlabel(r\"$\\mu$\")\n", + "plt.xlim(-0.125, 0.125)\n", + "\n", + "plt.tight_layout()\n", + "plt.savefig(\"figs4.pdf\")\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "id": "2caee857", + "metadata": {}, + "source": [ + "Do the SINDyCP fit on more informative amplitudes constructed past the Hopf bifurcation, with implicit terms included. The SINDyCP fit reveals variations in the normal-form parameter that correct the weakly-nonlinear theory away from the instability, and these variations become extreme at the canard explosion. First, split the trajectories into training and test data and define a quadrative parameter and a quintic feature libraries. Plot the normal-form parameters as a function of $\\varepsilon$. The fit agrees with the weakly nonlinear prediction in the $\\mu\\to 0$ limit, and the variation with $\\mu$ represents a correction to the theory. The variations become extreme around the canard explosion that occurs above $\\mu^{1/2}=0.35$." + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "id": "6794f593", + "metadata": { + "scrolled": true + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "(X)' = 1.402 X + 4.184 Y + -0.694 XXX + 1.887 YYY + 1.881 XXY + -0.664 XYY + 2.375 X_22 + 0.419 Y_22 + 2.374 X_11 + 0.419 Y_11\n", + "(Y)' = -4.219 X + 1.390 Y + -1.877 XXX + -0.763 YYY + -0.791 XXY + -1.893 XYY + -0.474 X_22 + 2.365 Y_22 + -0.475 X_11 + 2.365 Y_11\n", + "11.172955274116248\n", + "\n", + "(X)' = 1.421 1 X + 4.602 1 Y + 0.139 1 XY + -0.838 1 XXX + 1.542 1 YYY + 1.564 1 XXY + -0.880 1 XYY + 2.136 1 X_22 + 0.590 1 Y_22 + 2.127 1 X_11 + 0.600 1 Y_11 + 0.176 mu 1 + 1.622 mu X + -2.399 mu Y + -0.436 mu XX + -0.329 mu YY + -1.600 mu XY + -0.372 mu XXX + 5.631 mu YYY + 5.179 mu XXY + -0.699 mu X_t + 5.144 mu X_22 + -1.192 mu Y_22 + 5.220 mu X_11 + -1.285 mu Y_11 + -1.223 mumu 1 + -6.617 mumu X + 9.326 mumu Y + 3.911 mumu XX + 1.719 mumu YY + 4.660 mumu XY + 6.856 mumu XXX + -15.494 mumu YYY + -13.666 mumu XXY + 7.880 mumu XYY + 1.836 mumu X_t + -15.104 mumu X_22 + 1.768 mumu Y_22 + -15.257 mumu X_11 + 1.970 mumu Y_11\n", + "(Y)' = -4.586 1 X + 1.174 1 Y + -0.151 1 XY + -1.494 1 XXX + -0.701 1 YYY + -0.643 1 XXY + -1.612 1 XYY + -0.468 1 X_22 + 2.046 1 Y_22 + -0.470 1 X_11 + 2.052 1 Y_11 + 2.172 mu X + 4.301 mu Y + -0.177 mu XX + 0.447 mu YY + 1.976 mu XY + -6.473 mu XXX + -1.652 mu YYY + -2.559 mu XXY + -4.896 mu XYY + -0.760 mu Y_t + 6.344 mu Y_22 + 6.277 mu Y_11 + 0.350 mumu 1 + -10.841 mumu X + -13.855 mumu Y + 1.359 mumu XX + -3.970 mumu YY + -7.154 mumu XY + 18.922 mumu XXX + 5.452 mumu YYY + 7.459 mumu XXY + 12.900 mumu XYY + 2.089 mumu Y_t + -2.183 mumu X_22 + -19.044 mumu Y_22 + -2.163 mumu X_11 + -18.883 mumu Y_11\n", + "355.98981666984037\n" + ] + }, + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "bs = np.linspace(0.88, 0.98, 6)\n", + "n = 128 # Number of spatial points in each direction\n", + "\n", + "xs_train = []\n", + "xs_test = []\n", + "scales = []\n", + "for j in range(len(bs)):\n", + " A = np.load(\"data/oregonator/oregonator_\" + str(j) + \".npy\")\n", + " scale = np.mean(np.abs(A) ** 2) ** 0.5\n", + " scales = scales + [scale]\n", + " xsi = np.array([np.real(A) / scale, np.imag(A) / scale]).transpose([1, 2, 3, 0])\n", + " xs_train = xs_train + [xsi[:, :, :250]]\n", + " xs_test = xs_test + [xsi[:, :, 250:]]\n", + "us = (1 - bs).tolist()\n", + "L = 2e2 # Domain size in X and Y directions\n", + "spatial_grid = np.zeros((n, n, 2))\n", + "spatial_grid[:, :, 0] = L / n * np.arange(n)[:, np.newaxis]\n", + "spatial_grid[:, :, 1] = L / n * np.arange(n)[np.newaxis, :]\n", + "dt = 1e-1\n", + "\n", + "library_functions = [\n", + " lambda x: x,\n", + " lambda x: x**2,\n", + " lambda x, y: x * y,\n", + " lambda x: x**3,\n", + " lambda x, y: x**2 * y,\n", + " lambda x, y: y**2 * x,\n", + "]\n", + "function_names = [\n", + " lambda x: x,\n", + " lambda x: x + x,\n", + " lambda x, y: x + y,\n", + " lambda x: x + x + x,\n", + " lambda x, y: x + x + y,\n", + " lambda x, y: x + y + y,\n", + "]\n", + "\n", + "feature_lib0 = ps.PDELibrary(\n", + " library_functions=library_functions,\n", + " derivative_order=2,\n", + " spatial_grid=spatial_grid,\n", + " include_interaction=False,\n", + " include_bias=True,\n", + " function_names=function_names,\n", + " differentiation_method=ps.SpectralDerivative,\n", + ")\n", + "\n", + "opt0 = ps.STLSQ(threshold=1e-1, alpha=1e-12, normalize_columns=False)\n", + "\n", + "model0 = ps.SINDy(\n", + " feature_library=feature_lib0, optimizer=opt0, feature_names=[\"X\", \"Y\"]\n", + ")\n", + "\n", + "start = timeit.default_timer()\n", + "model0.fit(xs_train[-1], t=dt, multiple_trajectories=False)\n", + "model0.print()\n", + "stop = timeit.default_timer()\n", + "print(stop - start)\n", + "utils.get_single_normal_form_parameters(model0)\n", + "\n", + "scores0 = []\n", + "for i in range(len(us)):\n", + " scores0 = scores0 + [\n", + " model0.score(\n", + " xs_test[i],\n", + " u=us[i],\n", + " t=dt,\n", + " multioutput=\"raw_values\",\n", + " multiple_trajectories=False,\n", + " )\n", + " ]\n", + "\n", + "print()\n", + "\n", + "feature_lib = ps.PDELibrary(\n", + " library_functions=library_functions,\n", + " derivative_order=2,\n", + " spatial_grid=spatial_grid,\n", + " temporal_grid=dt * np.arange(500),\n", + " include_interaction=False,\n", + " implicit_terms=True,\n", + " include_bias=True,\n", + " function_names=function_names,\n", + " differentiation_method=ps.SpectralDerivative,\n", + " multiindices=[[0, 0, 1], [1, 0, 0], [0, 1, 0], [1, 1, 0], [0, 2, 0], [2, 0, 0]],\n", + ")\n", + "\n", + "library_functions = [lambda x: np.abs(x) ** 0.5, lambda x: x]\n", + "function_names = [lambda x: x, lambda x: x + x]\n", + "\n", + "parameter_lib = ps.PDELibrary(\n", + " library_functions=library_functions,\n", + " derivative_order=0,\n", + " include_interaction=False,\n", + " function_names=function_names,\n", + " include_bias=True,\n", + ")\n", + "lib = ps.ParameterizedLibrary(\n", + " parameter_library=parameter_lib,\n", + " feature_library=feature_lib,\n", + " num_parameters=1,\n", + " num_features=2,\n", + ")\n", + "\n", + "opt = ps.STLSQ(threshold=1e-1, alpha=1e-12, normalize_columns=False)\n", + "model = ps.SINDy(feature_library=lib, optimizer=opt, feature_names=[\"X\", \"Y\", \"mu\"])\n", + "\n", + "start = timeit.default_timer()\n", + "model.fit(xs_train, u=us, t=dt, multiple_trajectories=True)\n", + "model.print()\n", + "stop = timeit.default_timer()\n", + "print(stop - start)\n", + "\n", + "scores = []\n", + "for i in range(len(us)):\n", + " scores = scores + [\n", + " model.score(\n", + " xs_test[i],\n", + " u=us[i],\n", + " t=dt,\n", + " multioutput=\"raw_values\",\n", + " multiple_trajectories=False,\n", + " )\n", + " ]\n", + "\n", + "bs2 = np.linspace(0.82, 0.995, 1000)\n", + "alphas, betas = utils.get_normal_form_parameters(model, 1 - bs2)\n", + "\n", + "plt.subplots(2, 1, figsize=(3, 4))\n", + "\n", + "plt.subplot(2, 1, 1)\n", + "plt.scatter((1 - bs) ** 0.5, 1 - np.mean(scores, axis=1), c=colors[3])\n", + "plt.scatter((1 - bs) ** 0.5, 1 - np.mean(scores0, axis=1), c=colors[4])\n", + "\n", + "plt.ylabel(\"$1-R^2$\")\n", + "plt.gca().set_xticks([0.1, 0.2, 0.3, 0.4])\n", + "plt.gca().set_xticklabels([])\n", + "plt.xlim((1 - bs2[-1]) ** 0.5, (1 - bs2[0]) ** 0.5)\n", + "plt.yscale(\"log\")\n", "\n", "plt.subplot(2, 1, 2)\n", "plt.plot((1 - bs2) ** 0.5, betas / (0.17272), label=r\"$b/b_0$\")\n", "plt.plot((1 - bs2) ** 0.5, alphas / (2.37882), label=r\"$c/c_0$\")\n", - "plt.gca().set_xticks([0.1, 0.15, 0.2, 0.25, 0.3, 0.35])\n", + "plt.gca().set_xticks([0.1, 0.2, 0.3, 0.4])\n", "plt.ylim(0, 5)\n", "plt.legend()\n", "plt.ylabel(\"Normal-form\\nparameters\")\n", "plt.xlabel(r\"$\\mu^{1/2}$\")\n", "plt.xlim((1 - bs2[-1]) ** 0.5, (1 - bs2[0]) ** 0.5)\n", - "plt.savefig(\"fig2.pdf\")\n", + "plt.savefig(\"fig2a.pdf\")\n", "plt.show()" ] }, { - "cell_type": "markdown", - "id": "a2401dcc", + "cell_type": "code", + "execution_count": null, + "id": "c95209bc", "metadata": {}, + "outputs": [], "source": [ - "Calculate a finely resolved trajectory above the canard explosion, with $\\mu=0.16$. The dynamics exhibit more extreme spatiotemporal variations than exhibited by the CGLE." + "utils.get_single_normal_form_parameters(model0,printcoefs=True)" ] }, { - "cell_type": "code", - "execution_count": 21, - "id": "0c55dcf3", + "cell_type": "markdown", + "id": "22c82ce7", "metadata": {}, - "outputs": [], "source": [ - "bs = [0.84]\n", - "n = 256 # Number of spatial points in each direction\n", - "Nt = 200 # Number of temporal interpolation points\n", - "\n", - "if __name__ == \"testing\":\n", - " Nt = 20\n", - " n = 64\n", - "\n", - "if not os.path.exists(\"data/oregonator\"):\n", - " os.mkdir(\"data/oregonator\")\n", - "if not np.all(\n", - " [\n", - " os.path.exists(\"data/oregonator/canard_\" + str(i) + \".npy\")\n", - " for i in range(len(bs))\n", - " ]\n", - "):\n", - " for j in range(len(bs)):\n", - " if not os.path.exists(\"data/oregonator/canard_\" + str(j) + \".npy\"):\n", - " b = bs[j]\n", - " print(j, b)\n", - " L = 1 / (1 - b) ** 0.5 # Domain size in X and Y directions\n", - " spatial_grid = np.zeros((n, n, 2))\n", - " spatial_grid[:, :, 0] = L / n * np.arange(n)[:, np.newaxis]\n", - " spatial_grid[:, :, 1] = L / n * np.arange(n)[np.newaxis, :]\n", - " t1 = 2e2 / (1 - b) # Domain size in t directions\n", - " if __name__ == \"testing\":\n", - " t1 = 20\n", - " dt = 5.94804\n", - " X0, Y0, Z0 = utils.get_oregonator_ic(2e-1, 0, spatial_grid)\n", - " u0 = np.concatenate([X0.ravel(), Y0.ravel(), Z0.ravel()])\n", - "\n", - " start = timeit.default_timer()\n", - "\n", - " X, Y, Z = utils.get_oregonator_trajectory(u0, b, t1, dt, spatial_grid)\n", - "\n", - " x = np.array([X, Y, Z]).transpose(1, 2, 3, 0)\n", - " fi = interp1d(np.arange(x.shape[2]), x, axis=2)\n", - " x = fi(np.arange(Nt) / (Nt - 1) * (x.shape[2] - 1))\n", - " plt.plot(np.mean(x[:, :, :, 0], axis=(0, 1)))\n", - " plt.plot(np.mean(x[:, :, :, 2], axis=(0, 1)))\n", - " plt.show()\n", - " plt.imshow(x[:, :, -1, 0])\n", - " plt.show()\n", - "\n", - " np.save(\"data/oregonator/canard_\" + str(j), x)\n", - " stop = timeit.default_timer()\n", - " print(stop - start)" + "Compare the Canard explosions in the SINDyCP model and the Oregonator model" ] }, { "cell_type": "code", - "execution_count": 22, - "id": "59eec533", - "metadata": { - "scrolled": true - }, + "execution_count": 7, + "id": "69fd20d8", + "metadata": {}, "outputs": [ { - "data": { - "image/png": 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\n", 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\n", + "image/png": 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", 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" + "
" ] }, "metadata": {}, @@ -1286,28 +1540,119 @@ } ], "source": [ - "plt.figure(figsize=(3, 4))\n", - "x = np.load(\"data/oregonator/canard_0.npy\")\n", - "plt.imshow(x[:, :, -1, 0])\n", - "plt.clim(2e-6, 8e-6)\n", - "plt.xticks([])\n", - "plt.yticks([])\n", - "plt.savefig(\"fig2c.pdf\")\n", - "plt.show()\n", - "plt.figure(figsize=(3, 4))\n", - "x = np.load(\"data/oregonator/oregonator_4.npy\")\n", - "plt.imshow(x[:, :, -1, 0])\n", - "plt.clim(2e-6, 8e-6)\n", - "plt.xticks([])\n", - "plt.yticks([])\n", - "plt.savefig(\"fig2d.pdf\")\n", - "plt.show()\n", - "# utils.animate_oregonator()" + "bs3 = np.linspace(0.82, 0.98, 18)\n", + "\n", + "Xs2 = []\n", + "Ys2 = []\n", + "Zs2 = []\n", + "start = timeit.default_timer()\n", + "for b in bs3:\n", + " t1 = 1e3 / (1 - b) # Domain size in t directions\n", + " dt = 5.94804 / 100\n", + "\n", + " X, Y, Z = utils.get_homogeneous_oregonator_trajectory(b, t1, dt)\n", + " Xs2 = Xs2 + [X]\n", + " Ys2 = Ys2 + [Y]\n", + " Zs2 = Zs2 + [Z]\n", + "\n", + "slope, intercept, r_value, p_value, std_err = linregress((1 - bs) ** 0.5, scales)\n", + "scales3 = intercept + slope * (1 - bs3) ** 0.5\n", + "stop = timeit.default_timer()\n", + "print(stop - start)\n", + "\n", + "Xs = []\n", + "Ys = []\n", + "start = timeit.default_timer()\n", + "for b in bs3:\n", + " t1 = 2e1 # Domain size in t directions\n", + " dt = 5e-3\n", + "\n", + " X, Y = utils.get_homogeneous_oregonator_trajectory_fit(model, b, t1, dt)\n", + " Xs = Xs + [X]\n", + " Ys = Ys + [Y]\n", + "stop = timeit.default_timer()\n", + "print(stop - start)\n", + "\n", + "amps = []\n", + "amps2 = []\n", + "for i in range(0, len(bs3)):\n", + " X = Xs[i]\n", + " Y = Ys[i]\n", + " nt = X.shape[0]\n", + " period = int(np.median(np.diff(find_peaks(X[nt // 2 :])[0]))) + 1\n", + " amps = amps + [\n", + " np.mean((scales3[i] * X[-period:]) ** 2 + (scales3[i] * Y[-period:]) ** 2)\n", + " ]\n", + "\n", + "for i in range(0, len(bs3)):\n", + " X = Xs2[i]\n", + " Z = Zs2[i]\n", + " nt = X.shape[0]\n", + " period = int(np.median(np.diff(find_peaks(X[nt // 2 :])[0]))) + 1\n", + " x0 = np.mean(X[-10 * period :])\n", + " z0 = np.mean(Z[-10 * period :])\n", + " A2 = np.mean(\n", + " (\n", + " ((X[-300 * period :] - x0) / x0 + 1j * (Z[-300 * period :] - z0) / z0)\n", + " * np.exp(-1j * 2 * np.pi / period * np.arange(300 * period))\n", + " ).reshape(300, -1),\n", + " axis=1,\n", + " )\n", + " amps2 = amps2 + [np.mean(np.abs(A2) ** 2)]\n", + "\n", + "plt.subplots(1, 2, figsize=(8, 4))\n", + "plt.subplot(1, 2, 1)\n", + "for i in range(0, len(bs3), 4):\n", + " X = Xs[i]\n", + " Y = Ys[i]\n", + " nt = X.shape[0]\n", + " period = int(np.median(np.diff(find_peaks(X[nt // 2 :])[0]))) + 1\n", + " plt.plot(\n", + " (scales3[i] * X[-period:]),\n", + " (scales3[i] * Y[-period:]),\n", + " ls=\"--\",\n", + " c=colors[i // 4],\n", + " )\n", + "\n", + " X = Xs2[i]\n", + " Z = Zs2[i]\n", + " nt = X.shape[0]\n", + " period = int(np.median(np.diff(find_peaks(X[nt // 2 :])[0]))) + 1\n", + " x0 = np.mean(X[-10 * period :])\n", + " z0 = np.mean(Z[-10 * period :])\n", + " A2 = np.mean(\n", + " (\n", + " ((X[-300 * period :] - x0) / x0 + 1j * (Z[-300 * period :] - z0) / z0)\n", + " * np.exp(-1j * 2 * np.pi / period * np.arange(300 * period))\n", + " ).reshape(300, -1),\n", + " axis=1,\n", + " )\n", + " plt.plot(\n", + " np.real(A2),\n", + " np.imag(A2),\n", + " c=colors[i // 4],\n", + " label=r\"$\\mu^{1/2}=%.3f$\" % ((1 - bs3[i]) ** 0.5),\n", + " )\n", + "\n", + "plt.xlabel(r\"$X$\")\n", + "plt.ylabel(r\"$Y$\")\n", + "plt.legend()\n", + "\n", + "plt.subplot(1, 2, 2)\n", + "plt.scatter((1 - bs3) ** 0.5, amps, label=\"SINDyCP fit\", c=colors[i // 4 + 1])\n", + "plt.scatter((1 - bs3) ** 0.5, amps2, label=\"Oregonator model\", c=colors[i // 4 + 2])\n", + "plt.xlabel(r\"$\\mu^{1/2}$\")\n", + "plt.ylabel(r\"$\\overline{A^2}$\")\n", + "plt.legend()\n", + "\n", + "plt.tight_layout()\n", + "plt.savefig(\"figs8.pdf\")\n", + "plt.show()" ] }, { "cell_type": "markdown", - "id": "901f94a4", + "id": "c1e6fb3f", "metadata": {}, "source": [ "### Effects of noise on CGLE fits" @@ -1315,7 +1660,7 @@ }, { "cell_type": "markdown", - "id": "c45f6a07", + "id": "7a7dd4f6", "metadata": {}, "source": [ "Here we perform both differential and weak SINDyCP fits on the four previous trajectories with various intensities of injected noise. We generate two new test trajectories to assess the performance of the fits. We also generate five new training trajectories with random parameter values in the amplitude turbulence parameter regime and perform the SINDyCP fits on noisy data with a varying number of length of trajectories. Since these fits take a while, we use previously saved score results here if they are present." @@ -1323,8 +1668,8 @@ }, { "cell_type": "code", - "execution_count": 23, - "id": "7a67d68f", + "execution_count": 25, + "id": "0c0c4d4f", "metadata": {}, "outputs": [], "source": [ @@ -1334,7 +1679,7 @@ }, { "cell_type": "markdown", - "id": "6a5aa61b", + "id": "dda7e180", "metadata": {}, "source": [ "Plot results" @@ -1342,37 +1687,22 @@ }, { "cell_type": "code", - "execution_count": 24, - "id": "2fe823c4", + "execution_count": 26, + "id": "293eac08", "metadata": {}, "outputs": [ { "data": { - "image/png": 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\n", + "image/png": 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", "text/plain": [ - "
" + "
" ] }, - "metadata": { - "needs_background": "light" - }, + "metadata": {}, "output_type": "display_data" } ], "source": [ - "colors = [\n", - " \"#ff7f0e\",\n", - " \"#2ca02c\",\n", - " \"#1f77b4\",\n", - " \"#d62728\",\n", - " \"#9467bd\",\n", - " \"#8c564b\",\n", - " \"#e377c2\",\n", - " \"#7f7f7f\",\n", - " \"#bcbd22\",\n", - " \"#17becf\",\n", - "]\n", - "\n", "fig, ax = plt.subplots(1, 2, figsize=(6, 3))\n", "\n", "plt.subplot(1, 2, 1)\n", @@ -1470,7 +1800,7 @@ }, { "cell_type": "markdown", - "id": "bccf7299", + "id": "bbf17245", "metadata": {}, "source": [ "### Swift Hohenberg \n", @@ -1483,20 +1813,17 @@ }, { "cell_type": "code", - "execution_count": 25, - "id": "f9183e17", + "execution_count": 27, + "id": "307fd16e", "metadata": {}, "outputs": [], "source": [ "nx = 256\n", "N = nx\n", "L = 2 * np.pi * 32\n", - "t1 = 10\n", - "if __name__ == \"testing\":\n", - " t1 = 1e0\n", - " nx = 64\n", + "t1 = 5\n", "t3 = 0\n", - "dt = 0.01\n", + "dt = 0.02\n", "\n", "nt = int((t1 - t3) / dt)\n", "\n", @@ -1509,7 +1836,7 @@ }, { "cell_type": "markdown", - "id": "93d91f2a", + "id": "8497e082", "metadata": {}, "source": [ "Randomly generate a relationship between the normal-form parameters $(r, b_3, b_5)$ and an experimental control parameter $\\varepsilon$" @@ -1517,23 +1844,10 @@ }, { "cell_type": "code", - "execution_count": 26, - "id": "96614dbd", + "execution_count": 28, + "id": "32190829", "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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\n", - "text/plain": [ - "
" - ] - }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" - } - ], + "outputs": [], "source": [ "np.random.seed(66)\n", "order = 3\n", @@ -1572,75 +1886,183 @@ "epsilons = np.arange(0, 3, 0.1)\n", "inds = np.intersect1d(\n", " np.where(r_func(epsilons) < 0)[0], np.where(b3_func(epsilons) > 0)[0]\n", - ")\n", - "plt.plot(epsilons, r_func(epsilons))\n", - "plt.plot(epsilons, b3_func(epsilons))\n", - "plt.plot(epsilons, b5_func(epsilons))\n", - "plt.xlabel(r\"$\\varepsilon$\")\n", - "plt.ylabel(\"Normal form\\n parameters\")\n", - "plt.show()" + ")" + ] + }, + { + "cell_type": "markdown", + "id": "f85619f3", + "metadata": {}, + "source": [ + "Generate the high-$\\varepsilon$ and low-$\\varepsilon$ training and testing data" ] }, { "cell_type": "code", - "execution_count": 27, - "id": "7969bc9b", - "metadata": { - "scrolled": true - }, + "execution_count": 29, + "id": "1484aade", + "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ - "0\n", - "1.0\n", - "2.0\n", "1.0\r" ] } ], "source": [ - "num_trajectories = 3\n", - "np.random.seed(1)\n", + "num_trajectories = 5\n", + "np.random.seed(100)\n", "epsilons_train = 1 + 2 * (np.random.random(size=num_trajectories))\n", "rs = r_func(epsilons_train)\n", "b3s = b3_func(epsilons_train)\n", "b5s = b5_func(epsilons_train)\n", "k = 2\n", "\n", - "np.random.seed(10)\n", + "xs_train = []\n", + "xs_test = []\n", + "for i in range(len(rs)):\n", + " u0 = utils.get_sh_ic(1.0, spatial_grid)\n", + " us = utils.get_sh_trajectory(u0, rs[i], b3s[i], b5s[i], t1, dt, spatial_grid)\n", + " xs_train = xs_train + [us]\n", + "for i in range(len(rs)):\n", + " u0 = utils.get_sh_ic(1.0, spatial_grid)\n", + " us = utils.get_sh_trajectory(u0, rs[i], b3s[i], b5s[i], t1, dt, spatial_grid)\n", + " xs_test = xs_test + [us]\n", + "\n", + "num_trajectories = 5\n", + "np.random.seed(100)\n", + "epsilons_train2 = -1 + 2 * (np.random.random(size=num_trajectories))\n", + "trajectories = 100\n", + "rs = r_func(epsilons_train2)\n", + "b3s = b3_func(epsilons_train2)\n", + "b5s = b5_func(epsilons_train2)\n", + "k = 2\n", "\n", - "xs = []\n", + "xs_train2 = []\n", + "xs_test2 = []\n", + "seeds = np.arange(num_trajectories)\n", + "for i in range(len(rs)):\n", + " np.random.seed(seeds[i])\n", + " u0 = utils.get_sh_ic(1.0, spatial_grid)\n", + " us = utils.get_sh_trajectory(u0, rs[i], b3s[i], b5s[i], t1, dt, spatial_grid)\n", + " xs_train2 = xs_train2 + [us]\n", "for i in range(len(rs)):\n", - " print(i)\n", + " np.random.seed(seeds[i])\n", " u0 = utils.get_sh_ic(1.0, spatial_grid)\n", " us = utils.get_sh_trajectory(u0, rs[i], b3s[i], b5s[i], t1, dt, spatial_grid)\n", - " xs = xs + [us]" + " xs_test2 = xs_test2 + [us]" ] }, { "cell_type": "markdown", - "id": "7991969a", + "id": "7089abcc", "metadata": {}, "source": [ - "Fit the data with weak SINDyCP" + "Fit the high-$\\varepsilon$ data with weak SINDyCP with noise intensity $\\sigma=0.05$ and $\\sigma=0.01$" + ] + }, + { + "cell_type": "code", + "execution_count": 30, + "id": "6f54bf6b", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "noise_scale = 0.05\n", + "np.random.seed(1)\n", + "xs_train_noisy = [\n", + " xs_train[i] + noise_scale * np.random.normal(size=xs_train[i].shape)\n", + " for i in range(len(xs_train))\n", + "]\n", + "xs_test_noisy = [\n", + " xs_test[i] + noise_scale * np.random.normal(size=xs_test[i].shape)\n", + " for i in range(len(xs_test))\n", + "]\n", + "\n", + "noise_scale = 0.01\n", + "np.random.seed(1)\n", + "xs_train_noisy2 = [\n", + " xs_train[i] + noise_scale * np.random.normal(size=xs_train[i].shape)\n", + " for i in range(len(xs_train))\n", + "]\n", + "xs_test_noisy2 = [\n", + " xs_test[i] + noise_scale * np.random.normal(size=xs_test[i].shape)\n", + " for i in range(len(xs_test))\n", + "]\n", + "\n", + "fig, ax = plt.subplots(2, 5, figsize=(12, 5))\n", + "for i in range(len(xs_train)):\n", + " plt.subplot(2, 5, i + 1)\n", + " plt.imshow(\n", + " ps.FiniteDifference(d=1, axis=1)._differentiate(xs_train_noisy[i], t=dt),\n", + " aspect=xs_train[0].shape[1] / xs_train[0].shape[0],\n", + " cmap=\"seismic\",\n", + " )\n", + " plt.gca().set_yticks([0, 64, 128, 192, 256])\n", + " plt.gca().set_yticklabels([])\n", + " if i == 0:\n", + " plt.ylabel(r\"$x/2\\pi$\")\n", + " plt.gca().set_yticklabels([0, 8, 16, 24, 32])\n", + " plt.gca().set_xticks([0, 50, 100, 150, 200, 250])\n", + " plt.gca().set_xticklabels([])\n", + " plt.title(r\"$\\varepsilon=%.3f$\" % (epsilons_train[i]))\n", + " plt.clim(-2, 2)\n", + "for i in range(len(xs_train)):\n", + " plt.subplot(2, 5, i + 6)\n", + " plt.imshow(\n", + " ps.FiniteDifference(d=1, axis=1)._differentiate(xs_train_noisy2[i], t=dt),\n", + " aspect=xs_train[0].shape[1] / xs_train[0].shape[0],\n", + " cmap=\"seismic\",\n", + " )\n", + " plt.gca().set_yticks([0, 64, 128, 192, 256])\n", + " plt.gca().set_yticklabels([])\n", + " if i == 0:\n", + " plt.ylabel(r\"$x/2\\pi$\")\n", + " plt.gca().set_yticklabels([0, 8, 16, 24, 32])\n", + " plt.gca().set_xticks([0, 50, 100, 150, 200, 250])\n", + " plt.gca().set_xticklabels([0, 1, 2, 3, 4, 5])\n", + " plt.xlabel(\"$t$\")\n", + " plt.clim(-2, 2)\n", + "\n", + "plt.tight_layout()\n", + "cb = plt.colorbar(ax=ax[:][:], fraction=0.015)\n", + "cb.set_label(r\"$\\dot{u}$\", rotation=\"horizontal\", loc=\"top\")\n", + "plt.savefig(\"figs5.pdf\")\n", + "plt.show()" ] }, { "cell_type": "code", - "execution_count": 28, - "id": "f6cbacbd", + "execution_count": 31, + "id": "643280a2", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ - "(u)' = -1.686 1 u + 1.720 1 uuu + -0.647 1 uuuuu + -0.015 1 u_1 + -2.047 1 u_11 + -0.014 1 u_111 + -1.042 1 u_1111 + -0.081 epsilon u + -0.201 epsilon uuu + -0.220 epsilon uuuuu + 0.024 epsilon u_1 + 0.046 epsilon u_11 + 0.011 epsilon u_111 + -0.061 epsilon^2 uuu + 0.052 epsilon^2 uuuuu + -0.008 epsilon^2 u_1 + -0.010 epsilon^2 u_11 + -0.003 epsilon^2 u_111 + 0.017 epsilon^2 u_1111\n", - "3.4396703240000193\n", - "['1 u', '1 uuu', '1 uuuuu', '1 u_1', '1 u_11', '1 u_111', '1 u_1111', 'epsilon u', 'epsilon uuu', 'epsilon uuuuu', 'epsilon u_1', 'epsilon u_11', 'epsilon u_111', 'epsilon u_1111', 'epsilon^2 u', 'epsilon^2 uuu', 'epsilon^2 uuuuu', 'epsilon^2 u_1', 'epsilon^2 u_11', 'epsilon^2 u_111', 'epsilon^2 u_1111']\n", - "0.9999997278915306\n" + "(u)' = -1.627 1 u + 1.128 1 uuu + 0.112 1 uuuuu + -1.702 1 u_11 + -0.880 1 u_1111 + -0.155 epsilon u + 0.547 epsilon uuu + -1.183 epsilon uuuuu + -0.354 epsilon u_11 + -0.126 epsilon u_1111 + 0.019 epsilon^2 u + -0.275 epsilon^2 uuu + 0.357 epsilon^2 uuuuu + 0.107 epsilon^2 u_11 + 0.047 epsilon^2 u_1111\n", + "3.0474350238218904\n", + "['1 u', '1 uuu', '1 uuuuu', '1 u_11', '1 u_1111', 'epsilon u', 'epsilon uuu', 'epsilon uuuuu', 'epsilon u_11', 'epsilon u_1111', 'epsilon^2 u', 'epsilon^2 uuu', 'epsilon^2 uuuuu', 'epsilon^2 u_11', 'epsilon^2 u_1111']\n", + "0.9977299067120186\n", + "\n", + "(u)' = -1.680 1 u + 1.702 1 uuu + -0.684 1 uuuuu + -1.940 1 u_11 + -0.975 1 u_1111 + -0.086 epsilon u + -0.201 epsilon uuu + -0.125 epsilon uuuuu + -0.072 epsilon u_11 + -0.025 epsilon u_1111 + -0.047 epsilon^2 uuu + 0.022 epsilon^2 u_11 + 0.010 epsilon^2 u_1111\n", + "7.378116580192\n", + "['1 u', '1 uuu', '1 uuuuu', '1 u_11', '1 u_1111', 'epsilon u', 'epsilon uuu', 'epsilon uuuuu', 'epsilon u_11', 'epsilon u_1111', 'epsilon^2 u', 'epsilon^2 uuu', 'epsilon^2 uuuuu', 'epsilon^2 u_11', 'epsilon^2 u_1111']\n", + "0.9999084460644367\n" ] } ], @@ -1649,9 +2071,8 @@ "library_functions = [lambda x: x, lambda x: x**3, lambda x: x**5]\n", "function_names = [lambda x: x, lambda x: x + x + x, lambda x: x + x + x + x + x]\n", "seed = 100\n", - "K = 500\n", - "if __name__ == \"testing\":\n", - " K = 1\n", + "K = 1000\n", + "H_xt = [L / 32, t1 / 5]\n", "np.random.seed(seed)\n", "feature_lib = ps.WeakPDELibrary(\n", " library_functions=library_functions,\n", @@ -1659,8 +2080,9 @@ " spatiotemporal_grid=spatiotemporal_grid,\n", " include_interaction=False,\n", " function_names=function_names,\n", + " multiindices=[[2], [4]],\n", " K=K,\n", - " H_xt=[L / 20, t1 / 20],\n", + " H_xt=H_xt,\n", ")\n", "library_functions = [lambda x: x, lambda x: x**2]\n", "function_names = [lambda x: x, lambda x: x + \"^2\"]\n", @@ -1673,7 +2095,7 @@ " function_names=function_names,\n", " include_bias=True,\n", " K=K,\n", - " H_xt=[L / 20, t1 / 20],\n", + " H_xt=H_xt,\n", ")\n", "lib = ps.ParameterizedLibrary(\n", " parameter_library=parameter_lib,\n", @@ -1681,255 +2103,229 @@ " num_parameters=1,\n", " num_features=1,\n", ")\n", - "opt = ps.STLSQ(threshold=1e-3, alpha=1e-4, normalize_columns=False)\n", + "opt = ps.STLSQ(threshold=1e-3, alpha=1e-12, normalize_columns=False)\n", "model = ps.SINDy(feature_library=lib, optimizer=opt, feature_names=[\"u\", \"epsilon\"])\n", - "noise_scale = 0.01\n", - "xs_noisy = [\n", - " xs[i] * (1 + noise_scale * np.random.normal(size=xs[i].shape))\n", - " for i in range(len(xs))\n", - "]\n", + "\n", + "model.fit(\n", + " xs_train_noisy,\n", + " u=epsilons_train.tolist(),\n", + " t=dt,\n", + " multiple_trajectories=True,\n", + ")\n", + "model.print()\n", + "stop = timeit.default_timer()\n", + "print(stop - start)\n", + "print(lib.get_feature_names([\"u\", \"epsilon\"]))\n", + "utils.get_sh_coefficients(model)\n", + "print(\n", + " model.score(\n", + " xs_test_noisy, u=epsilons_train.tolist(), t=dt, multiple_trajectories=True\n", + " )\n", + ")\n", + "\n", + "print()\n", + "\n", "model.fit(\n", - " xs_noisy, u=epsilons_train.tolist(), t=dt, multiple_trajectories=True, unbias=True\n", + " xs_train_noisy2,\n", + " u=epsilons_train.tolist(),\n", + " t=dt,\n", + " multiple_trajectories=True,\n", + " unbias=True,\n", ")\n", "model.print()\n", "stop = timeit.default_timer()\n", "print(stop - start)\n", "print(lib.get_feature_names([\"u\", \"epsilon\"]))\n", - "print(model.score(xs, u=epsilons_train.tolist(), t=dt, multiple_trajectories=True))" + "(\n", + " r_func_fit,\n", + " b3_func_fit,\n", + " b5_func_fit,\n", + " uxx_func_fit,\n", + " uxxxx_func_fit,\n", + ") = utils.get_sh_coefficients(model)\n", + "print(\n", + " model.score(\n", + " xs_test_noisy2, u=epsilons_train.tolist(), t=dt, multiple_trajectories=True\n", + " )\n", + ")" ] }, { "cell_type": "markdown", - "id": "c425a389", + "id": "8a65825c", "metadata": {}, "source": [ - "Define some functions to store the fit results" + "Fit the low-$\\varepsilon$ data with weak SINDyCP with noise intensity $\\sigma=0.05$ and $\\sigma=0.01$" ] }, { "cell_type": "code", - "execution_count": 29, - "id": "7412fb5a", + "execution_count": 32, + "id": "6558dbb3", "metadata": {}, - "outputs": [], + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], "source": [ - "uxcoeff_fit = np.array(\n", - " [\n", - " opt.coef_[0, np.where(np.array(model.get_feature_names()) == \"1 u_1\")[0][0]],\n", - " opt.coef_[\n", - " 0, np.where(np.array(model.get_feature_names()) == \"epsilon u_1\")[0][0]\n", - " ],\n", - " opt.coef_[\n", - " 0, np.where(np.array(model.get_feature_names()) == \"epsilon^2 u_1\")[0][0]\n", - " ],\n", - " ]\n", - ")\n", - "uxxcoeff_fit = np.array(\n", - " [\n", - " opt.coef_[0, np.where(np.array(model.get_feature_names()) == \"1 u_11\")[0][0]],\n", - " opt.coef_[\n", - " 0, np.where(np.array(model.get_feature_names()) == \"epsilon u_11\")[0][0]\n", - " ],\n", - " opt.coef_[\n", - " 0, np.where(np.array(model.get_feature_names()) == \"epsilon^2 u_11\")[0][0]\n", - " ],\n", - " ]\n", - ")\n", - "uxxxcoeff_fit = np.array(\n", - " [\n", - " opt.coef_[0, np.where(np.array(model.get_feature_names()) == \"1 u_111\")[0][0]],\n", - " opt.coef_[\n", - " 0, np.where(np.array(model.get_feature_names()) == \"epsilon u_111\")[0][0]\n", - " ],\n", - " opt.coef_[\n", - " 0, np.where(np.array(model.get_feature_names()) == \"epsilon^2 u_111\")[0][0]\n", - " ],\n", - " ]\n", - ")\n", - "uxxxxcoeff_fit = np.array(\n", - " [\n", - " opt.coef_[0, np.where(np.array(model.get_feature_names()) == \"1 u_1111\")[0][0]],\n", - " opt.coef_[\n", - " 0, np.where(np.array(model.get_feature_names()) == \"epsilon u_1111\")[0][0]\n", - " ],\n", - " opt.coef_[\n", - " 0, np.where(np.array(model.get_feature_names()) == \"epsilon^2 u_1111\")[0][0]\n", - " ],\n", - " ]\n", - ")\n", - "\n", - "\n", - "def ux_func_fit(epsilons):\n", - " epsilons = np.asarray(epsilons)\n", - " return np.sum(\n", - " uxcoeff_fit[np.newaxis, :]\n", - " * epsilons[:, np.newaxis] ** np.arange(len(rcoeff))[np.newaxis, :],\n", - " axis=1,\n", - " )\n", - "\n", - "\n", - "def uxx_func_fit(epsilons):\n", - " epsilons = np.asarray(epsilons)\n", - " return np.sum(\n", - " uxxcoeff_fit[np.newaxis, :]\n", - " * epsilons[:, np.newaxis] ** np.arange(len(rcoeff))[np.newaxis, :],\n", - " axis=1,\n", - " )\n", - "\n", - "\n", - "def uxxx_func_fit(epsilons):\n", - " epsilons = np.asarray(epsilons)\n", - " return np.sum(\n", - " uxxxcoeff_fit[np.newaxis, :]\n", - " * epsilons[:, np.newaxis] ** np.arange(len(rcoeff))[np.newaxis, :],\n", - " axis=1,\n", - " )\n", - "\n", - "\n", - "def uxxxx_func_fit(epsilons):\n", - " epsilons = np.asarray(epsilons)\n", - " return np.sum(\n", - " uxxxxcoeff_fit[np.newaxis, :]\n", - " * epsilons[:, np.newaxis] ** np.arange(len(rcoeff))[np.newaxis, :],\n", - " axis=1,\n", - " )\n", - "\n", + "noise_scale = 0.05\n", + "np.random.seed(1)\n", + "xs_train_noisy3 = [\n", + " xs_train2[i] + noise_scale * np.random.normal(size=xs_train2[i].shape)\n", + " for i in range(len(xs_train2))\n", + "]\n", + "xs_test_noisy3 = [\n", + " xs_test2[i] + noise_scale * np.random.normal(size=xs_test2[i].shape)\n", + " for i in range(len(xs_test2))\n", + "]\n", "\n", - "rcoeff_fit = np.array(\n", - " [\n", - " opt.coef_[0, np.where(np.array(model.get_feature_names()) == \"1 u\")[0][0]] + 1,\n", - " opt.coef_[\n", - " 0, np.where(np.array(model.get_feature_names()) == \"epsilon u\")[0][0]\n", - " ],\n", - " opt.coef_[\n", - " 0, np.where(np.array(model.get_feature_names()) == \"epsilon^2 u\")[0][0]\n", - " ],\n", - " ]\n", - ")\n", - "b3coeff_fit = np.array(\n", - " [\n", - " opt.coef_[0, np.where(np.array(model.get_feature_names()) == \"1 uuu\")[0][0]],\n", - " opt.coef_[\n", - " 0, np.where(np.array(model.get_feature_names()) == \"epsilon uuu\")[0][0]\n", - " ],\n", - " opt.coef_[\n", - " 0, np.where(np.array(model.get_feature_names()) == \"epsilon^2 uuu\")[0][0]\n", - " ],\n", - " ]\n", - ")\n", - "b5coeff_fit = np.array(\n", - " [\n", - " -opt.coef_[0, np.where(np.array(model.get_feature_names()) == \"1 uuuuu\")[0][0]],\n", - " -opt.coef_[\n", - " 0, np.where(np.array(model.get_feature_names()) == \"epsilon uuuuu\")[0][0]\n", - " ],\n", - " -opt.coef_[\n", - " 0, np.where(np.array(model.get_feature_names()) == \"epsilon^2 uuuuu\")[0][0]\n", - " ],\n", - " ]\n", - ")\n", + "noise_scale = 0.01\n", + "np.random.seed(1)\n", + "xs_train_noisy4 = [\n", + " xs_train2[i] + noise_scale * np.random.normal(size=xs_train2[i].shape)\n", + " for i in range(len(xs_train2))\n", + "]\n", + "xs_test_noisy4 = [\n", + " xs_test2[i] + noise_scale * np.random.normal(size=xs_test2[i].shape)\n", + " for i in range(len(xs_test2))\n", + "]\n", "\n", + "fig, ax = plt.subplots(2, 5, figsize=(12, 5))\n", "\n", - "def r_func_fit(epsilons):\n", - " epsilons = np.asarray(epsilons)\n", - " return np.sum(\n", - " rcoeff_fit[np.newaxis, :]\n", - " * epsilons[:, np.newaxis] ** np.arange(len(rcoeff))[np.newaxis, :],\n", - " axis=1,\n", + "for i in range(len(xs_train)):\n", + " plt.subplot(2, 5, i + 1)\n", + " plt.imshow(\n", + " ps.FiniteDifference(d=1, axis=1)._differentiate(xs_train_noisy3[i], t=dt),\n", + " aspect=xs_train2[0].shape[1] / xs_train2[0].shape[0],\n", + " cmap=\"seismic\",\n", " )\n", - "\n", - "\n", - "def b3_func_fit(epsilons):\n", - " epsilons = np.asarray(epsilons)\n", - " return np.sum(\n", - " b3coeff_fit[np.newaxis, :]\n", - " * epsilons[:, np.newaxis] ** np.arange(len(b3coeff))[np.newaxis, :],\n", - " axis=1,\n", + " plt.gca().set_yticks([0, 64, 128, 192, 256])\n", + " plt.gca().set_yticklabels([])\n", + " if i == 0:\n", + " plt.ylabel(r\"$x/2\\pi$\")\n", + " plt.gca().set_yticklabels([0, 8, 16, 24, 32])\n", + " plt.gca().set_xticks([0, 50, 100, 150, 200, 250])\n", + " plt.gca().set_xticklabels([0, 1, 2, 3, 4, 5])\n", + " plt.gca().set_xticklabels([])\n", + " plt.title(r\"$\\varepsilon=%.3f$\" % (epsilons_train2[i]))\n", + "\n", + " plt.clim(-2, 2)\n", + "for i in range(len(xs_train)):\n", + " plt.subplot(2, 5, i + 6)\n", + " plt.imshow(\n", + " ps.FiniteDifference(d=1, axis=1)._differentiate(xs_train_noisy4[i], t=dt),\n", + " aspect=xs_train[0].shape[1] / xs_train[0].shape[0],\n", + " cmap=\"seismic\",\n", " )\n", + " plt.gca().set_yticks([0, 64, 128, 192, 256])\n", + " plt.gca().set_yticklabels([])\n", + " if i == 0:\n", + " plt.ylabel(r\"$x/2\\pi$\")\n", + " plt.gca().set_yticklabels([0, 8, 16, 24, 32])\n", + " plt.gca().set_xticks([0, 50, 100, 150, 200, 250])\n", + " plt.gca().set_xticklabels([0, 1, 2, 3, 4, 5])\n", + " plt.xlabel(\"$t$\")\n", + " plt.clim(-2, 2)\n", "\n", "\n", - "def b5_func_fit(epsilons):\n", - " epsilons = np.asarray(epsilons)\n", - " return np.sum(\n", - " b5coeff_fit[np.newaxis, :]\n", - " * epsilons[:, np.newaxis] ** np.arange(len(b5coeff))[np.newaxis, :],\n", - " axis=1,\n", - " )" - ] - }, - { - "cell_type": "markdown", - "id": "7222342d", - "metadata": {}, - "source": [ - "Stability of continuation orbits. The solutions have been continued with auto07p and their stability determined and saved." + "plt.tight_layout()\n", + "cb = plt.colorbar(ax=ax[:][:], fraction=0.015)\n", + "cb.set_label(r\"$\\dot{u}$\", rotation=\"horizontal\", loc=\"top\")\n", + "plt.savefig(\"figs6.pdf\")\n", + "plt.show()" ] }, { "cell_type": "code", - "execution_count": 30, - "id": "0afda80b", + "execution_count": 33, + "id": "f6d6cd9f", "metadata": {}, - "outputs": [], + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "(u)' = -1.703 1 u + 1.809 1 uuu + -0.760 1 uuuuu + -2.009 1 u_11 + -1.014 1 u_1111 + -0.079 epsilon u + -0.264 epsilon uuu + -0.077 epsilon uuuuu + 0.014 epsilon u_11 + -0.005 epsilon u_1111 + 0.005 epsilon^2 u + -0.009 epsilon^2 uuu + -0.016 epsilon^2 uuuuu + 0.041 epsilon^2 u_11 + 0.019 epsilon^2 u_1111\n", + "2.2258451296947896\n", + "['1 u', '1 uuu', '1 uuuuu', '1 u_11', '1 u_1111', 'epsilon u', 'epsilon uuu', 'epsilon uuuuu', 'epsilon u_11', 'epsilon u_1111', 'epsilon^2 u', 'epsilon^2 uuu', 'epsilon^2 uuuuu', 'epsilon^2 u_11', 'epsilon^2 u_1111']\n", + "0.9989307337006449\n", + "\n", + "(u)' = -1.692 1 u + 1.793 1 uuu + -0.760 1 uuuuu + -2.001 1 u_11 + -1.002 1 u_1111 + -0.075 epsilon u + -0.296 epsilon uuu + -0.061 epsilon uuuuu + 0.004 epsilon u_11 + -0.001 epsilon^2 u + -0.021 epsilon^2 uuu + -0.008 epsilon^2 uuuuu + 0.009 epsilon^2 u_11 + 0.005 epsilon^2 u_1111\n", + "6.735840365756303\n", + "['1 u', '1 uuu', '1 uuuuu', '1 u_11', '1 u_1111', 'epsilon u', 'epsilon uuu', 'epsilon uuuuu', 'epsilon u_11', 'epsilon u_1111', 'epsilon^2 u', 'epsilon^2 uuu', 'epsilon^2 uuuuu', 'epsilon^2 u_11', 'epsilon^2 u_1111']\n", + "0.9999572043810943\n" + ] + } + ], "source": [ - "i = 0\n", - "odd_unstable_xs = []\n", - "odd_unstable_ys = []\n", - "while os.path.exists(\"data/auto/odd/unstable_\" + str(i) + \".npy\"):\n", - " branchx, branchy = np.load(\"data/auto/odd/unstable_\" + str(i) + \".npy\")\n", - " odd_unstable_xs.append(branchx)\n", - " odd_unstable_ys.append(branchy)\n", - " i = i + 1\n", - "\n", - "i = 0\n", - "odd_stable_xs = []\n", - "odd_stable_ys = []\n", - "while os.path.exists(\"data/auto/odd/stable_\" + str(i) + \".npy\"):\n", - " branchx, branchy = np.load(\"data/auto/odd/stable_\" + str(i) + \".npy\")\n", - " odd_stable_xs.append(branchx)\n", - " odd_stable_ys.append(branchy)\n", - " i = i + 1\n", - "\n", - "i = 0\n", - "even_unstable_xs = []\n", - "even_unstable_ys = []\n", - "while os.path.exists(\"data/auto/even/unstable_\" + str(i) + \".npy\"):\n", - " branchx, branchy = np.load(\"data/auto/even/unstable_\" + str(i) + \".npy\")\n", - " even_unstable_xs.append(branchx)\n", - " even_unstable_ys.append(branchy)\n", - " i = i + 1\n", - "\n", - "i = 0\n", - "even_stable_xs = []\n", - "even_stable_ys = []\n", - "while os.path.exists(\"data/auto/even/stable_\" + str(i) + \".npy\"):\n", - " branchx, branchy = np.load(\"data/auto/even/stable_\" + str(i) + \".npy\")\n", - " even_stable_xs.append(branchx)\n", - " even_stable_ys.append(branchy)\n", - " i = i + 1\n", - "\n", - "i = 0\n", - "periodic_unstable_xs = []\n", - "periodic_unstable_ys = []\n", - "while os.path.exists(\"data/auto/periodic/unstable_\" + str(i) + \".npy\"):\n", - " branchx, branchy = np.load(\"data/auto/periodic/unstable_\" + str(i) + \".npy\")\n", - " periodic_unstable_xs.append(branchx)\n", - " periodic_unstable_ys.append(branchy)\n", - " i = i + 1\n", - "\n", - "i = 0\n", - "periodic_stable_xs = []\n", - "periodic_stable_ys = []\n", - "while os.path.exists(\"data/auto/periodic/stable_\" + str(i) + \".npy\"):\n", - " branchx, branchy = np.load(\"data/auto/periodic/stable_\" + str(i) + \".npy\")\n", - " periodic_stable_xs.append(branchx)\n", - " periodic_stable_ys.append(branchy)\n", - " i = i + 1" + "start = timeit.default_timer()\n", + "library_functions = [\n", + " lambda x: x,\n", + " lambda x: x**2,\n", + " lambda x: x**3,\n", + " lambda x: x**4,\n", + " lambda x: x**5,\n", + "]\n", + "function_names = [\n", + " lambda x: x,\n", + " lambda x: x + x,\n", + " lambda x: x + x + x,\n", + " lambda x: x + x + x + x,\n", + " lambda x: x + x + x + x + x,\n", + "]\n", + "library_functions = [lambda x: x, lambda x: x**3, lambda x: x**5]\n", + "function_names = [lambda x: x, lambda x: x + x + x, lambda x: x + x + x + x + x]\n", + "\n", + "\n", + "model.fit(\n", + " xs_train_noisy3,\n", + " u=epsilons_train2.tolist(),\n", + " t=dt,\n", + " multiple_trajectories=True,\n", + " unbias=True,\n", + ")\n", + "model.print()\n", + "stop = timeit.default_timer()\n", + "print(stop - start)\n", + "print(lib.get_feature_names([\"u\", \"epsilon\"]))\n", + "utils.get_sh_coefficients(model)\n", + "print(\n", + " model.score(\n", + " xs_test_noisy3, u=epsilons_train2.tolist(), t=dt, multiple_trajectories=True\n", + " )\n", + ")\n", + "\n", + "print()\n", + "model.fit(\n", + " xs_train_noisy4,\n", + " u=epsilons_train2.tolist(),\n", + " t=dt,\n", + " multiple_trajectories=True,\n", + " unbias=True,\n", + ")\n", + "model.print()\n", + "stop = timeit.default_timer()\n", + "print(stop - start)\n", + "print(lib.get_feature_names([\"u\", \"epsilon\"]))\n", + "utils.get_sh_coefficients(model)\n", + "print(\n", + " model.score(\n", + " xs_test_noisy4, u=epsilons_train2.tolist(), t=dt, multiple_trajectories=True\n", + " )\n", + ")" ] }, { "cell_type": "markdown", - "id": "8875e116", + "id": "ec1944d2", "metadata": {}, "source": [ "Plot the normal form parameters and continuation results" @@ -1937,59 +2333,45 @@ }, { "cell_type": "code", - "execution_count": 31, - "id": "6a72fcb9", + "execution_count": 34, + "id": "a8ee0081", "metadata": {}, "outputs": [ { "data": { - "image/png": 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\n", 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k/N25dzFZK/APC2fk1Mdp3bELhd+cwHiiEAD/IbEEjIy/ZFKIK9Hr9bz11lsAvPjii/auNrdTWQlLlkj7d98NTaXjSrhSp7Pa9hRbOsIN2oXTkTHC6dSmMCuDpX9/jvISaQ2arsNHM2DSFLz9/Pn1rfdIsnVFUyRFCuowbwJGxKNQK8mzpbPuo3cozs2hX/jNRAe1Jez2jlizjZT+JmUI+t/QmsDRiW5/p5KSEn788UdKS0t56KGH3P58gcDdCKcjY4TTqYuhpJhNiz7h6JbfAND5+tJx0BAO/PwDWm8f7nvsbcrWncdaKg3Ke18bRtBNbbBorWxZ8jlxKfF4q/34vXIN1894EO8sL4pWnQIg8smeaKI8qCtEIPBAhNORMcLpXJr0o3+wYeFH5J07C4B3QCCJ3ZMZOf0J/th3CJ/DRrxOmFCgAK2SoDGJ+PaN5tzB/ez7dDln8w6i1mgZ/uBjhO4JxJxXTsidHfDp1nTjO02KxQKHD0v7114LTTW2dCVcqdNZbXuKLR3hBu3C6cgY4XRqo9+XQ8m6c9gqLfgkR+I/Ko4/Nqxn29dfUF4qlQyK69qTR//9XyotVv572130ChlJqJeULaiNDyDo1iTM3hZ+fn8uZw/sBWDgsLvpedsE1P46FBr3ZZBVVFRgNpvlUV3aUwa/RSKBa5F5IkGLmRwqkA+WIqk2nWFvLv6DWtNtxBg69B/EviXL2bVxFWmH9vHs6OvZn5lH72l3UZabTVLrJIp/TsV0roTseXs5qzhK8qTxRCa15/flS9n66xKMvhUMvvt+t77LgQMHWLt2Lddddx2jRo1y67ProFBAdSq/DMuf2HGlTme17Sm2dITMtbeoeTqCpsenWwS+fasmh+oryf7PHko3p6NVe5GQ3Z7b2j/DNdcOQqVU0qt1JDu++pzgVq3x7RdN5Mye6NoFobQpSbJ2Qbmhgr6jbmPkwzMA2L16OXlpqW59n/z8fGw2G8HBwW59rkN8fCAjQ9rkXBXBlTqd1ban2NIRMtcuutdcjOhec4wxrYSi705TmVEGgDJQi81oQaFWEvVCH84e3MNvn3+MtliDxWrGr10Ew/7yCMHRrSj47TSGXzNRWBQofdSETL6Gbz55hfzzqQz/y6N0HTbare+SmZlJWFgYWq3Wrc8VCJoKMaYjY4TTqcv5I4eIbncNKrUGw74citeew1oq1WPTtPIl+JZ2aFv7YzaZOPfGFnR6LbvyfiKtIoW+t0yiz4TbsBaZKVh6THJaCrB012Dr6EVC1+5N+3ICQQtAjOkIPIZd3y1jy5cLienQkbKCC3QdNprez0ykdNN5yrZkUJmhJ/e9A+wuTWHNhd/5541PYzxRhKqNH5ZDZrZ/u4S8nSdI7nkTYTe3xbAnB/3ubFT7KwmMbu229zh27BgJCQl4eXm57ZlXpKICpkyR9r/4AuSk7WJcqdNZbXuKLR0hc+0i0nExItKpzcndO1j9n3/aP7ft04+bZ/4NhUJBZWEFGV/uRl21GoTeZCB0VFtCBsej8FJxfPtmNiz8mK7agST4d6E4ooQOj4/EsCWLknXnQAlRM3uhDvN26TucP3+ezz77DF9fX6ZPny6PzDXwnIwrkb3mWkT2mkBQQ7ve/bj1hVdZ+9E76AsLOLVrB9+8Novr73kAlVrN8s1vEBmQyLXRYwnFj4rfMsk5WEDQzUlcM+B64q7tzp4PvuHc+aOcytzHwdkbGDfjOTQpflSeL6P8WAH+A+tXF6+xqNVqgoODiYmJkY/DAdBq4b33avbliit1OqttT7GlI2Su3SMinYyMDLZt20Zubi5Wq7XWuRkzZjSRqvohIh3HmCrK2bXqW/b+sApzpTSeE9elGyX5uYS2jmf8My9iOJBH8U9n7eM92vaBhNzaHnWQF8e2beKXT+ZjNOjx8g/g5nueIUgdgf9A93SxVVRV75VV95pA4CaadSLBggULmD59OlqtltDQ0FoFHRUKBWfOnGlCdVdGOJ3aWA2VGNPLsBnNeF8TQmnxBbZ+9QUpVSVxVBoNXYePof/td+Hl60d5YQnbX/yEdv49USpUKLRKAkYk4NUnHH1RAT/M+zc5Z06hUqu5+ZkXadOjt0t022w2iouLCQoKckn7AoEn0aydTmxsLNOnT2fWrFlNu1ZJIxFOpzYlv52nZG0qAKoQL6Kfk5xEzplTbFr8GeePHAJA6+NLh6Gj6H/jLRzZuJ6Sk1l0C7gBU6pUtaDcu5w9F37m2oljOb17J6d278DLP4Bpb3+It79z7Wyz2Vi/fj179+5l0qRJtGnTxqntOw2rFU6flvaTkkCu/19cqdNZbXuKLR3hBu1X83dN9pY0GAxMnjzZIx2OoC5ebYPsv3WWYiNl2zOxWaxEtmnLkNZ3cdvQWURFt8Nk0HP4hxV8Pft5IhKTGPHcE4Q/1JWgW9ui0KnwLvemn9eN+GR6Me6J5wiLS6CitMS+bIIzsVgsZGdnYzQaKSwsdHr7TqO8HNq3l7by8qZWc2lcqdNZbXuKLR0hc+2yj3See+45QkJCeOGFF5paSqMQkU5dTOdLKVh2HHOO9B9CHeaN78AYiledBgX4z+jMrSP7c33beCJ8wjBbTbTq3oUh9z1EUFQ05mIjBd8cw3Rainq8u4RS3s3Ghew0rh02EqXS+QUOTSYTp0+fpmPHjk5v22no9VC9uGBGhnwzrlyp01lte4otHeEG7c26e81isXDjjTdSXl7OtddeW2eBrLlz5zaRsvohnI5jbBYb+t3ZlPxyDmuZtISBKswbXVIgIbe0A6BCX8bZ/9uEX7E/+y6s52zFH/QZfxt9xt+OSqOhbFsmxWvOgsWGJtqXsAe6oPJzTrZOeXk5p06d4tprr3VKewJBc6JZp0z/61//Yu3atXTo0AGgTiKBwPM4u38PARGRBPeJwadHOKWbMyjbko4lvxxDfjnWIiOBYxLxivIjLCIOY0kRutggLEcr2bFsKenbD9Gv062E9Usi/OGuXFh0lMosPRcWHSV8ejcUyqv7vTAajXz66afk5+ejUCjo0qWLk95cIBDI3unMnTuXzz77jKlTpza1FIETOLj+J3759AOw2YhMasc9/3qbwBHx+F0XTcmvaeh3ZVNxvJCKE4X49Iwk5Pb22IAYvwEk7urLb59/jJ/eH8VpE6nZv9P22eGEP9yVnHf3Y0orpWx75lXP09HpdLRt2xaj0UhoaKhzXlwgEAAekEig0+kYMGBAU8sQOAmdrx9U9egWZKRzbNsmbFYrSj8NP+x4l6NBu1G29QUbGPbmkPWfPeh3ZYPFRod+A7l/7gf4d4kmpeh3Dp/dyBcvPEFBWRZBNyWhCtDi0yO8UboqKysxGo32zyNHjuThhx8mOjraKe/tFoxGmDpV2i56F9nhSp3OattTbOkImWuX/ZjOnDlzyMrK4p133mlqKY1CjOnU5cz+3az/+H3KCvIBiEhMovuoG1n34f+hUquZ+s6nDO06mJeGPEqf1l0BUAZoCRqbiHe3cBQKBecOHeDnD+dRdiEflUbDqIdmcM3AGxrVtZaens6KFSuIjo7mtttu89xuW08p3SLK4LgWUQbn6ti1axcbNmzghx9+oHPnznUSCVasWNFEygSNpU2P3kyb9yF7fljJ7tUryD17mnUf/h8RCUkk9uyFj78/dz45ldM2A8EVh4kujsWvJIiCr46j/T2LoJvbEHdtN+59811+fn8uZ/bt5qf3/0tlpbFRyxoolUoKCwsxmUyUlpZ67pcDjQbefLNmX664Uqez2vYUWzpC5tplH+ncf//lV4JcsGCBm5Q0DhHpXB5DSTE7V37DwXU/YjGbAUjq1ZeBk6YQFpfAL5/M5/Sundw08klsBw3YKq3YFHBKvw9rFy1D//IwmxZ/yt4fv0OpUvOX9z7BPyTsss+02WwUFhYSEhJiP5aSkkJCQgLe3q4tFioQNAeabcq02WxmyZIljBo1iqioqKaW0yiE06mNfn8uxWtTsVWY8e4USsgdUlZiSX4uO5Yt5cjGX7HZrKBQ0HnwUPrfcbfkRBQKLMVGilafoeLoBQAq1OXEPdwPTWs/lv79ObJOpDDorqn0GX/bJZ9vMBhYtmwZGRkZPP744/Iq2CkQeAjN1ukA+Pj4kJKSQnx8fFNLaRTC6dRGvyubwhUnAVAFaol4rAeqAGluTeGKkxjNBvalridl70bpGo2GnmNupu8td6Dzkfqm9YdyKFx5CsqtoISAkQmUhBehLymiXd/+l50carVa+eSTT8jJyeG2226T92TPhmK1QlaWtB8dLd/SLa7U6ay2PcWWjnCD9mbtdIYMGcITTzzBhAkTmlpKoxBOpzY2i5XCVacw7M4BQKFR4jewFb59o8h+aw9YbAT8tTNdurVhXNeO9GjVHp3SG4O2jH533EXXYaNQqlRYDZUUfnea8oN5AHh3DSPkjg4o1LX/g5WXl7N//3769u2LSiU5o5ycHDQaTa3utWaBpwx+i0QC1yISCa6ORx99lKeffpr09HSSk5Px/ZMBu3bt2kTKBI1BoVISMrE9vsmRFP94FtP5Ukp/O0/p9gy8rglBFaBFFawjq0TPJ1v3cPzdN9CmKjhRvIdfP53PofU/MfT+h4lJ6kjI5A7o2wRStPo05YfyKQBC76qJXKxWK//73/8oKCjA29ubHj16ABAZGdlEb+8G1LL/Ly3hSp3OattTbOkIGWuXfaTjqNCnQqHAZrOhUCiwWCwNam/+/Pm89dZbZGVl0blzZ+bNm8egQYMueb3RaOS1115j8eLFZGdn07p1a1588UWmTZtWr+eJSOfS2Gw2Ko5eoHjdOcw5BgCUPmr8r2+Nb78YlFoVRT+dxbA3h8KEIjb+tpAKfRn+mhDGtP4L6mgfop/oRcXJQvIX/AFWCPjLNQS0rZmrs337dvbv38+oUaNo27ZtU72qQNCsaNbda+fOnbvs+YaM9Xz99ddMmTKF+fPnM2DAAD766CM++eQTjh49SlxcnMN7xo8fT05ODq+//jpt27YlNzcXs9lM//796/VM4XRqYzGbOXf4APlpqbS6pjNRSe1QKlWUH86jZH0a5nypCKjSX0PA0Dh8e0eBSgE2KC8rYetXiyj6/Rz9I8ZTUJmNz+RY2va+jgtfH2PT0R2kqDO47/6ptG4tLeZmNptRKpWiSrlA4ESatdNxJn379qVnz5588MEH9mMdO3ZkwoQJzJkzp871P//8M5MnT+bMmTON7v8XTqc2vy38mH1rVksfFAoeX/gNWi8pTTkv9SyWEwZs+/VYCqWZ1KoQLwJHxuPdNdw+8TPjeAqbPv4f+pwLlFReoNuIMQy6dSo/bVjLwT8O0a9fP0aNGtUk7ycQtASa9Xo6AKdPn+bxxx9n+PDhjBgxghkzZnC6epGiemIymdi7dy8jR46sdXzkyJFs377d4T2rV6+mV69evPnmm7Rq1Yr27dvzzDPPUH6ZNSqMRiMlJSW1NkENnQYPRVnV36wAdn+3jAp9GQA7V33Dkk+f50ziadZW7KHMWo6loIKCr46T+/4BKk4XARDT/ho63n0PZV2uwarWcHD9GlbMm03f63ozZcqUOj/jFoPRCI89Jm0yLH9ix5U6ndW2p9jSETLXLvtIZ+3atdx88810796dAQMGYLPZ2L59OwcPHuT7779nxIgR9WonMzOTVq1asW3btlpdY//617/4/PPPOX78eJ17Ro8ezcaNGxk+fDh///vfyc/P59FHH2Xo0KF89tlnDp/z6quvMnv27DrHRaRTQ15aKr/8730yT6QAoPP1pde4W8hLS+XM/t2MeeJ5OvTqi7fGi6MLN2I7UIpGqQPAq1MoQeMS+XzVl5w/f55uHdqTsf47jHo9Cd2TmTirru1bDJ6ScSWy11yLyF67Ol544QWeeuop/v3vf9c5/vzzz9fb6VTz57pa1QkJjrBarSgUCpYsWUJgYCAgVb2+7bbbeP/99x3OXp81axYzZ860fy4pKSE2NrZBGps74XEJTH7tTU7t3sG2rxdzIT2Nbd8sxsvXj94330ZUYhKvvPIKADn+GWwp+gm/6GsYU9mbiqMXyD5RQJiinHKbiV7Jveh/XV+WvvQ0qQf2knpoPwldezTxGzYRGg1U2U2O5U/suFKns9r2FFs6QubaZe90UlJS+Oabb+ocnzZtGvPmzat3O2FhYahUKrKzs2sdz83NvWQKbXR0NK1atbI7HJDGgGw2G+np6bRr167OPTqdDp1OV29dLRWFQkG7Pv1J6tWX4zu28vuypRRkprPj2yXsX7OaMTfeQo8xN6HSaNly7DTZ+jKKxvkRk6LFeKqIZLrRztQaH72G0B6JdBs5jhM7t2GpNDX1qzUdWi28+mpTq7gyrtTprLY9xZaOkLl22Tud8PBwDhw4UOcP/IEDB4iIiKh3O1qtluTkZNavX88tt9xiP75+/XrGjx/v8J4BAwbw7bffUlZWZi+XcuLECZRKpT07StAwKnP0lO3MwlJswqtdMH7XRdNxwPV06DeQw5s2sGHtzxSazGz9ahF7f1xFn/G30b9/P4ymShK6tCWgfwCGg3kUfneSAEIp/yadkgtK+k28i4F33otGKxy+QCBnZO90HnzwQR566CHOnDlD//79USgUbN26lTfeeIOnn366QW3NnDmTKVOm0KtXL/r168fHH39MWloa06dPB6SusYyMDBYtWgTAXXfdxT/+8Q/uv/9+Zs+eTX5+Ps8++yzTpk0ThSEbSXlKAfrtUokOS0EFPn0iq1KaVUSWtqbMOxCLlxVva2vKs9LZtPgz/IJD6HfbXfj7+aFQKPDtHoF3+2CKvj+DYX8uJb+k4ZVRRuhd1zTx2zUxNhsUF0v7gYEg1yUaXKnTWW17ii0dIXPtsk8ksNlszJs3j//+979kZmYCEBMTw7PPPsuMGTMavPbJ/PnzefPNN8nKyqJLly68/fbbDB48GICpU6eSmprKxo0b7dcfO3aMxx9/nG3bthEaGsodd9zB66+/Xm+nI1Kma2MuqCB3/gGy9fnsUZ/GJ8CXO+6ejCbal8zXfmef6SRh1ycy5KbhdG0VwdPjJhNUGUZu+TnMIVYG3zONNj1723/u+n05FK44BWYr3t3CCb2zBTseTxn8FokErkXmiQSydzoXU1paCoC/v38TK6k/wulIXLhwAbVaTWBgIJYyE6e/O8CXJ39CZVNyj3Ewfh3D0cb4YdVXohkaiX+gZKuc1ccwbcslreIYO7K+AyC+aw8GtJmIb2QIfgNbYTpfSv4nh8EG4Y92QxfXQu3sKX8ohdNxLTJ3OrLvXrsYT3I2ghrWrVvH9u3bGTBgACNGjEDlp6XdXb0Z/VslEed1aI6VY0wpwJhSgFeHYHwKrZhMUkKA+VQJ5UYFneMTMJ9Qs++n78j6IwVLaSkllOLdNwKvpCB8ekRQ/scFzBcqWq7T8fGBKrvJufaWS3U6q21PsaUjZK5d9pFOTk4OzzzzDL/++iu5ubn8WW5Da6+5m5YW6aSkpHDixAmGDRtmT774448/WL58Od27d3eYtFGZa6B0QxqGg3lQ9ePVtQsiYFgcuoTAWtcWZWexecFnaFOVeKv8OOudwtjHnyE0tDUoQOWndfk7CgQtnWbdvTZmzBjS0tL461//SnR0dJ0xnEtlnsmF5ux0bDYber2+1kJoH374IdnZ2UyYMIHu3bsDUFlZSWVlJT4+PthsNg7/upbgVq0pzs4iPD6RyDZSIU5zfjklG89j2JcLVunXUtcuiIAR8bWiF5vNxsld2/n10w8wFBeh0mgY8eBf6Xz9MPe9vEDQgmnW3Wtbt25ly5Yt9j9gAnlQUFDAF198gclk4umnn7YX1OzRowcFBQW15j5pNBo0VZPUNiz4iANrfyAwMorinGw6DhrC2L9KWYjqMG8OV2zFr0cIebtL6KiIx3iyiLyTRXh1DCFwVAKaKF8UCgXt+w6gdccurP1gHmf27ebn+W9jMVfSddho9xtDLphM8OKL0v4//ynN15AjrtTprLY9xZaOkLl22Uc6nTp1YsmSJfa1UDyN5hDpZGVlceTIEcLCwuzO32w288Ybb2C1WnnkkUcICwurV1vZp0/y1SvPYamsRKFQENulK+NmPIdPQCCminLeve92AP6+ah2h3mHs+fAXjAcvoLBJPW++yZEEjoxHFSjNx7FZrWxasoC9P6xEo/Ni2ryP8AsJdYUZ5I+nDH6LRALXIhIJro558+bxwgsv8NFHH5GQkNDUcpo9FouFrKwswsPD7ZUV0tLS2Lp1K4mJiXano1arue+++2pdVx+iktpx1+v/5dfPPiTz+FHSDh/kf3+dRtdho7l26EiumziZopwcHo2TFmMLurUt2/K2oDuuJM7vGgx7cyg/lIf3wCiWrXgNrwB/prz5LpnHj5J18jgp2zbR+6ZbnW4Xj0CjgWeeqdmXK67U6ay2PcWWjpC5dtlHOsHBwRgMBsxmMz4+PvZummoKCgqaSFn9kHukY7Vaa601Uz0mc9ddd9G+fXtASnfevHkz7dq1o0uXLk55rs1m48y+3exYtpScMycBUKnVdLp+GL1vnkhwVIz92jP7dpN25BBJcT3RHVViOidV7i4xXWBv0XqmfPY+OWdOUVZYUGsOj0AgcA3NOpHg888/v+z5++67z01KGodcnc6FCxdYvXo15eXlPProo/bj3333HSkpKYwaNcotXZo2m41zB/fx+8pvyDh2BACFQkmH/oPoO+F2wuIS6lxffjCPoh/OYC2rBMD/htYEjIhHofKIlToEAo+nWTsdT0cOTic1NZWUlBRiY2PtkUpFRYW9cvfMmTPt2ioqKtBqtU2y0mb6sSPsWvkNZw/stR9r16c//W67k/D4xFrXWsvNFP1wBsPeHEDKcgud0gmlVuVWzbLCZgOzWdpXq2VX/sSOK3U6q21PsaUj3KBdOB0Z406nY7VaSU9PJz09nd69e9u7Ijdv3syGDRvo3Lkzt99+u/36I0eOEBkZSWhoqNu6pMqPXKB0WwamcyUodSoin+6FylfSacosw1JQQa4+g78/NY0uraNQVulq17c/A+64h9DWtZcVNxzKo3DZCWwmK14dQwi9t1PL7V7zlMFvkUjgWkQigcAV2Gw2ioqKqKioIDo6GpCWC/jqq68wGAzExsba1/FJSkqirKyMpKSkWm107tzZ7brNhRWYzkjFCK0Gc61zhgO5lG3OwKdPOIt27CMywI8PX36B4LMB6I8Vs/jZJ+kweDAD7rgHv8AQUCrw6RqOKkhH3keHqEgpwHS+tOVWJBAIPADhdDwAm81GSUkJOp0OLy8vAI4ePcq3335LTEwMDz30ECA5nfbt21NeXl7r236rVq1o1apVk2j/M759ojCeLKTieCEA2W/twW9ADH79Y1D569C09sM7NojCQum8r82LnDd2Y8PKseKdHNn4C8e3b2Fk9wfwz/MnYHQCATfE4t0xhPKjBZhzDC3X6fj4QJXd8PFpWi2Xw5U6ndW2p9jSETLXLrrXXExjwtCKigq7cwH48ssvOXHiBLfccgvdunUDpKy99957j5iYGKZNm9YkYzCNxWazUXHkAsXrUjHnlgOg0Cjx7R2F36BWqINr3t1SaqLs9yxsRgvlHSrZtPhTMo4d5brwG4n364y1m5a4O/tiLqpA6a1GqRPfowQCV9Nsx3TMZjNeXl4cOHDAaam67uZyPxybzYbZbLaPvRQWFrJw4UKMRiPPP/+8PVpZs2YNu3btYujQoQwaNMh+r8ViQS3Dgn71xWa1UX4kn9LfzlOZqZcOKsGnWwT+17dGE1W3L9pms3Hi961sXrQAY1EZFlsl144ezfX3TEOllt+cBIGgOdJsx3TUajXx8fGyL+pZH8zm2uMX1eV9+vbty9ChQwGpinZpaSlWq5Xi4mKCgoIAuP766xk2bBjai8pZKBQKj3Y4AAqlAp9rw/HuEobxZBGlm85jPF2MYX8uhv25pCnz6Dbtenzb1lQYUCgUdOg3iMTuyWxespCD639i/5rvyTt3lgnP/h2dDLsT3IbJBP/6l7T/t7/JrvyJHVfqdFbbnmJLR8hcu6wjHYAFCxbw7bffsnjxYkJCQppaToOp/kYwa9YsXnzxRXyrMkl27tzJmjVr6NChA3feeaf9+oyMDEJDQ2t1rzU3bDYbNqsVFKBU1k5xNqWXUvhrKsajBSgVUpehLimQgGHx6NoE1mnr9N5d/PTuW5jKy0ns0Ytbnn9FZK+BvDOuRPaaaxHZa1fHO++8w6lTp4iJiSE+Pt7+R7uaffv2NZGyhmGz2cjJyaFNmzaAVFMuPj6+Ts0yuQz4u4qcM6dY+cZs9EWFJPW6jgnPvmQ/98unH4DNRrfRN/G/3Uu4TtuRbl5tMJ4uJu/0IXRtgwgYWbvidFJyH25/+V8sffkZzu7fQ/apE0S369AUr9b0qNVQPdFXzlGwK3U6q21PsaUjZK5dfor+xIQJE5paglN45JFH7CnMIHWltcRF6Y7v2IK+SMqsKcnLpbKiAk1VVHds60aMBj09xtzEP96TJq4e+XE9eT+m0CagG8ZTReSdKsK7Syj7cn+hpCKf0Y8+RVRSO9r07MOp3b+Te+5sy3U6Oh28/35Tq7gyrtTprLY9xZaOkLl22XeveTpyqEggJ0wV5ax68zXOHzkMgLd/AD3H3Ey3keM48fsWygou0Gf87XZHtOu7ZWz5ciE9Bo6je9QwDPtywAYWm4VjxTvp+dzthLdpQ3FuDjpfX7x8/S73eIFA4ASabfbaxezdu5eUlBQUCgWdOnXymKUOhNOpi81qJWXbJnZ8+yVFOVkAaHRedBk6guSx4wmMiKp1faXJiNVsRufjS2W2nqIfz2A8WQSAMkRH2J0d0ca2vKhRIGgqmrXTyc3NZfLkyWzcuJGgoCBsNhvFxcUMGTKEr776ivDw8KaWeFmE07k0VouF4zu2sPu7ZeSlpQJSsc82vfry1JtzSS8soaioqM44XvU8n8LVp7GWmECpIGh8En59o5vgLWSEXg9VGY8UFcl38NuVOp3VtqfY0hFu0H41f9dkP6Pw8ccfp6SkhCNHjlBQUEBhYSF//PEHJSUlzJgxo6nlCa4CpUpFx4E3MOXNd5n4t9eI79oDm83K6d07+OuQfvxlYC/SDh/gz9+LFAoF3l3CiHqyJ97XhoHVRtHKU5TtzGqiN5ERZnNNsUc540qdzmrbU2zpCBlrl32kExgYyC+//ELv3r1rHd+1axcjR46kqKioaYTVExHpNIy8c2fZ/f0Kjm3bJKVVAxEJSfS99Q7a9e6H4k+VF2w2GyVrUyndmI5CoyTqud6o/OU1L8FtWK2QVeV4o6NBrlUqXKnTWW17ii0d4QbtzTpl2mq11lm4DUCj0WCt+qMk8CyMaSVUpBSAAgJHJtiPm9JL8SvzZ8TkRxk4+V72/bSKQ7+sJS/1DN/PnUNYXAL977ibtr2uQ6FQSBGQDQJGJVCeItVdM54qwqdHRNO9XFOiVIInpNy7Uqez2vYUWzpC5tplH+mMHz+eoqIili5dSkyMtJpkRkYGd999N8HBwaxcubKJFV4eEenUpnhdKqUbzksf1Epavz7Afq5w5Un0O7MJGB5HwPB4APS5BRTOPYLZWsmKc29jw0Z0uw4MvmYyiuMmAkbE4z+4NWU7s7CUmPDpGoYm0oP63wUCD6RZj+m89957lJaWkpCQQFJSEm3btiUxMZHS0lLefffdppYnaCDaiyZ2KnVKDIfzsVml7z2qYC+0cf7YAtS89dZbvPXWWyiRoly1RkufW25HrdORdfI4J7ZtxVZppSJXWrrar280gSPiW7bDMZngrbekzWRqajWXxpU6ndW2p9jSETLXLvtIp5r169dz7NgxbDYbnTp1Yvjw4U0tqV6ISKcu+j05FP1wBluFNNCpDvfGb2ArfHtGoNCo0Ov1+FWV8SgtLcUbLTaTFXWIF/qiQrZ+9QWntmxHhQqFt4phDz9K297XNeUryQNPKd0iyuC4FlEG5+pYtGgRkyZNYsSIEYwYMcJ+3GQy8dVXX3Hvvfc2oTpBY/DtFYl3pxBKt2ZQtj0Tc145RStPUbIuFd++0Wh7hnLfffcB0tidSleTGOAbFMyo6TPoNnw06z56h7y0VL77z+tcN/FO+t9+V8utuwZSyZMqu8mx/IkdV+p0VtueYktHyFy77CMdlUpFVlYWERG1B4cvXLhAREREgytQz58/n7feeousrCw6d+7MvHnz7MsFXI5t27Zx/fXX06VLFw4cOFDv54lI5/JYjWb0u3Io256BpdAoHVQp8OkWjv9gx8sbVGMxV7Lly4Xs/fE7AAbdNZU+429zh2yBoEXTrMd0bDabw2+v6enpBAbWrTp8Ob7++muefPJJXnzxRfbv38+gQYMYM2YMaWlpl72vuLiYe++9l2HDhjXoeYIro9Sp8R/UiqhnehNy9zVo4/zBYsOwL5ecefvI+/QwFaeK6szVAVCpNdxw74MMue9BALZ9vZiyggvufgWBQNAAZBvp9OjRA4VCwcGDB+ncuXOttWMsFgtnz55l9OjRfPPNN/Vus2/fvvTs2ZMPPvjAfqxjx45MmDCBOXPmXPK+yZMn065dO1QqFatWrbpspGM0GjEajfbPJSUlxMbGikinARjTSijbkkH5H/lQ9dupjfXHf1gcXh2C63wJsdlsfP7MY1xIT2PMX5+m06AhTaBaIGg5NMsxnerq0gcOHGDUqFH2gWUArVZLQkICEydOrHd7JpOJvXv38sILL9Q6PnLkSLZv337J+xYsWMDp06dZvHgxr7/++hWfM2fOHGbPnl1vXS0Rq8VC/vlzmAwGWneqWRE2/egflBUVEBDdik6P9aO1fyS/vLWcysOFmM6XcmHhETSx/gSOSuBs1n7OHz1M12GjiWrbnp5jx2MoLiIioU0TvlkTo9fXzM/IyJDv4LcrdTqrbU+xpSNkrl22TueVV14BICEhgcmTJ6PT6a6qvfz8fCwWC5GRkbWOR0ZGkp2d7fCekydP8sILL7Bly5Z6r9I5a9YsZs6caf9cHekIJE7t2cn2bxaTd+4sgZFR/OWdT+zn9vy4itN7fmfwvQ9SXFxMcXExlT3VfPfdu3SJGEy7gB5Uni8l/5PDWHWlnD21m5CY1kS1bU/XYaOa8K1kRHFxUyuoH67U6ay2PcWWjpCxdtk6nWo6derEgQMH6Nu3b63jO3fuRKVS0atXrwa156hrxtGYkcVi4a677mL27Nm0b9++3u3rdLqrdpDNmYKM8+SdOwuAWqPBarGgVEmrh4bHJ2Ay6AmOjOLEiRMA+Pr5EJQQQ55PJoOefIjS385T9nsWgcZgxsY9iLLCF5vFhkLVgrPWqvH2hiq74e3dtFouhyt1OqttT7GlI2SuXbZjOtX06dOH5557jttuq52VtGLFCt544w127txZr3ZMJhM+Pj58++233HLLLfbjTzzxBAcOHGDTpk21ri8qKiI4OBiVqmY5ZavVis1mQ6VSsW7dOoYOHXrF54rstdoYDXqWvf4S2adPAhAYGUWvG2+l8/VD0ejqt0R3ZZ6Bou/PYDwhLQanTQwg9O6OqPxaaM01gcDNNOulDfz8/Dh06JB9medqzp49S9euXSktLa13W3379iU5OZn58+fbj3Xq1Inx48fXSSSwWq0cPXq01rH58+ezYcMGli1bRmJiYp2S+44QTqcuFrOZA2t/YOfKbygvlSoKePkH0HXYKLqPGod/SNgVWpAiVMO+XIpWn8ZmtKAO8yZ8elfheAQCN9AsEwmq0el05OTk1HE6WVlZ9R5nqWbmzJlMmTKFXr160a9fPz7++GPS0tKYPn06II3HZGRksGjRIpRKJV26dKl1f0REBF5eXnWOCxqGSq0medwEug4bzeHf1rPvp1UU5+awa9W37Pl+BW179yO1woIyIIiHHnrIYcFXhUKBb3Ik2lh/8j/7A3N+OYUrThF2b6cmeCOZUFkJH38s7T/0EDiwmyxwpU5nte0ptnSEzLXLPtKZPHky2dnZfPfdd/Z5OUVFRUyYMIGIiIgGpUyDFK28+eabZGVl0aVLF95++20GDx4MwNSpU0lNTWXjxo0O73311VevmDL9Z0Skc2WsVgund+9k35rVpKf8YT9+Nr+Ah195nc4Dr0epVF3y/spsPTnz9oECop7vgzqohY6peUrpFlEGx7XIvAyO7J1ORkYGgwcP5sKFC/Ylqg8cOEBkZCTr16+XfWaYcDoNIzf1DLtWLydl6yaUVbkBwdEx9LppIp2vH4pK7fhbW97HhzCeKSbo1rb49WmhK4hWVMCUKdL+F1+AV/3GyNyOK3U6q21PsaUj3KC9WTsdAL1ez5IlSzh48CDe3t507dqVO++802G3i9wQTqdx6IsK2f/zDxxc9yMV+jIA/MPCue7WyXS5YTiV58owppXgd100Si81pvRSFFoVmgifJlYuEDR/mr3T8WSE03GMzWbDVmlFqa3pNis/egFzYQXeHUJQh0mpnobUC2R+s5/crDPsyFwNQHBMa4ZH3oOyyEboPR3x7nLlxAOBQOA8mnUiQTVHjx4lLS0N05/Wh7j55pubSJGgMVgNlZTuyEK/PQN1mA8Rj3SznyvdnI4ptQSVv9budFQKDV4FOhKjuqMbHsnOlV9TmJnO8fIdREa0wbcyHvnNRBAIBJdC9k7nzJkz3HLLLRw+fLhmiWJqJnk2tMq0oGkpWHaSiqNSUU6zsrzWOV1SECp/LZVaG62qyngcP3CUoFvbovLTEt2pD12GDGfnym/Y++N3HCrchNd7yxj7+DMkdk92+7vIDoMB2rWT9k+eBB+ZdjW6Uqez2vYUWzpC5tplX2X6iSeeIDExkZycHHx8fDhy5AibN2+mV69el8wyE8gX744h9n1VsBfGMzXlOgJHxBN6d0fUsb5kZmaSmZmJwkeNX59ovDuFAqDz8WXw3fcz5d/ziEhIoqKslJVvzCZly29ufxfZYbNBZqa0ybnX3JU6ndW2p9jSETLXLvtIZ8eOHWzYsIHw8HCUSiVKpZKBAwcyZ84cZsyYwf79+5taoqAB+PSKxFphoXhtKpVppeR9fAhtfAD+g1vh1TEUhVKBl5eX/efqdYnMm7C4BO58/T/88r/3ObLpF37+YB7B0a2Ialv/kkXNDi8vqP7/IOdsK1fqdFbbnmJLR8hcu+wTCYKDg9m7dy9t2rQhKSmJTz75hCFDhnD69GmuvfZaDAZDU0u8LCKRwDHmIiOlv6Wh35MDFulXUBXqhV//GHx7RaLU1e/7kM1qZfXcOZzavYN2fftz88y/uVK2QCCgmS/i1qVLFw4dOgRIZWzefPNNtm3bxmuvvVanSoHAc1AH6Qi+pR3Rz/fB/4bWKLzVWC5UUPz9GbLm7KLop7OYi41XbEehVNL/9rsAOLX7d0ov5LtaukAguApk37320ksvodfrAXj99de58cYbGTRoEKGhoXz99ddNrE5wtagCtASOTsR/aByGfTmUbc3EnF9O2eZ0Sjafx6dHBIFD49CEOx4MNVdWsvfH7wiKjKZ9vwH4BAa59wXkRGUlLFki7d99t+zKn9hxpU5nte0ptnSEzLXLvnvNEQUFBQQH111BUo6I7rWGYbPaKDqYxS9vLaNfnFSBAgX4dI8gYHgc6tDaCdIWcyULZj5CSW4ut856lYRuPZtAtUzwlNItogyOa5F5GRxZRzpmsxkvLy8OHDhQq8hmSEjIZe4SeDIKpQLvjiEsLF7LxlOHeGXsE5hOFGHYn4vhUB4FAfkcK93JbbNfR6lSoVJrGHLfgyiVqpbtcABUKhg7tmZfrrhSp7Pa9hRbOkLm2mUf6SQlJbFixQq6det25YtliIh06oep3IBaq7Mv6JZ6cB/71/5AZGJbevW7ieJ15+zr5xjMpfiOaUWrYZ75OyEQeDrNOpHgpZdeYtasWRQUFDS1FIETsFot6IsKax377MmHeHfqHVxIT7MfKy8p5szeXZw/eghta3/Cp3Uh7P7OWLyt+Kj9sa0voXhtKjL/ziQQCP6ErLvXAN555x1OnTpFTEwM8fHxdRZO27dvXxMpEzQEm83GkU2/suXLhUQkJjFx1mz7OZ2P9DMtyc8jPD4RgJgOHRk27RHC4uLt13l1CCHubwMpXpNK2fZMSn87j81oIejmJPe+jEAgaDSydzrjx4/3iIQBweXJOX2StR/MA+BCeho2m83+c71p5ix0Pn7oqsp1GAwGeg0YBMDBgwdrtaPQqAi6OQlNtC+Fy09Stj0TXVIQ3p1D3fcycsVggOpu6IMHZVf+xI4rdTqrbU+xpSNkrl32TufVV19tagkCJxDSOhadry9GvZ6QmNaUFVzAP1SqDh0QFlHrWpvNxqlTp+z7jvDtHUVltp6ybZno92QLpwNSyZMqu8mx/IkdV+p0VtueYktHyFy77Md02rRpw4ULF+ocLyoqEpNDPQitlzdj//oMKo2Gc4f2s+Cp6exYthRTRXmda728vNi6dStbt269ZBkcAN8+UQBUHC/Eoq90mXaPwcsLtm6VNhmWP7HjSp3OattTbOkImWuXffaaUqkkOzubiIja34ZzcnKIjY2ts9SB3BDZa7XJT0tl/f/eJ/NECgA+gUFcN3EyXYeNuuSqoJdt74ujaCJ98BvQCpWvvCbBCQTNlWa5iNvq1dKCXRMmTODzzz8nMDDQfs5isfDrr7+yfv16jh8/3lQS64VwOnWx2Wwc37GFbV99QVFOFgBBUdEMvmcabXtdd8UxPJvZijm/HE2UB03YEwiaEc3S6SiVl+7502g0JCQk8N///pcbb7zRjaoajnA6l8ZiruTwhvXsWPYlhuIiABK6JzNk6sP8unUbALfccgtqdc3Qo7nISN5HB7FVWomamYzSR0Q3dsxmWLlS2r/lFlDLdMjWlTqd1ban2NIRbtDeLJ1ONYmJiezevZuwMM9cklg4nStjKjew67tl7Pl+BRazGa23N//7ZSuHM7IpLSpBZ1LZa6/ZrDZy/rsHa6WV0Hs6oosTNrXjKaVbRBkc1yLK4Fwds2fPxt/fv85xk8nEV199xb333tsEqgTOROvtw8DJ99Jp8DDWfjCPzBMp3DcgmQJzKEX/OYQqQEvUM71QKBQolApC7umEOtQLpVZ+JT6aFKUSrr++Zl+uuFKns9r2FFs6QubaZR/pqFQqsrKy6iQSXLhwgYiICNkvVy0infqh35eDfncO3teGsuvY9xxY+wMalY5bE55E6acl8vEeqPy1TS1TIBDQzMvgXDyJ8GLS09NrJRcIPAObxUbBshPkvLcfq9FsP24pMWE6W4zpbAlD73+Y2M5dqbQYOZeUSvSsPsLhCATNBNl2r/Xo0UPqTlEoGDZsWK3BZIvFwtmzZxk9enQTKhT8GZtVCpoVSulLQvmRfEo2nEcb60/whLbSOZWCihOFWEtMVGYb0MVL35K8O4ag8tWgTQhAoVCQPG4C548cYv/WH+h9921ovbwdP1QgEHgUsnU6EyZMAODAgQOMGjUKv+qBMUCr1ZKQkMDEiRObSJ3gz+R9chhjagkRj3ZDGyP9rGxWG5UZZaCsHakGjkpAoVGiCa9xJJpIXzSR0oBnYV4us55+ihCdhqeeeQmNTn4T3GRJeTn06yft79gB3jJ11K7U6ay2PcWWjpC5dtk6nVdeeQWAhIQEJk2a5HBm+oEDB+jevbublbVsTOmllG48D0oFoXd1tB+3WWxgtlKZY7A7HV1CIKH3dET9p/k0vsmRl2zfZrWy4p8v0TcymDWHj9O607Wi9l59sVqlWlvV+3LFlTqd1ban2NIRMtcu+zGd++67r5bDKS4uZv78+fTs2ZPk5OQGtzd//nwSExPx8vIiOTmZLVu2XPLaFStWMGLECMLDwwkICKBfv36sXbu2Ue/RbFAoKP/jAhXHCrBZan6hg25OIuqZXvh0C7cfU/lr8e4Shibs8t+0Si/k22usKZRKutwwAm1gEE+88tply+AI/oSXF6xbJ21ytpsrdTqrbU+xpSNkrl322WvVbNiwgc8++4wVK1YQHx/PxIkTmThxIj169Kh3G19//TVTpkxh/vz5DBgwgI8++ohPPvmEo0ePEhcXV+f6J598kpiYGIYMGUJQUBALFizgP//5Dzt37qz3c5tD9trFyRw2m42yrZnoEgLQtPKzj980lpVvzObMvt1Mfu0tWnWQIieLuRKr1YpGq7tq7QKBwPk028mh6enpLFy4kM8++wy9Xs8dd9zBhx9+yMGDB+nUqVOD2+vbty89e/bkgw8+sB/r2LEjEyZMYM6cOfVqo3PnzkyaNIm///3vDs8bjUaMRqP9c0lJCbGxsR7rdCpzDRR8c5zAMYl4JQU1up3yslL+2LCOkvw8hk2bbj/+03v/JWXrRq6/+3563XSrExQLBAJX0yxTpseOHUunTp04evQo7777LpmZmbz77ruNbs9kMrF3715GjhxZ6/jIkSPZvn17vdqwWq2UlpYSEhJyyWvmzJlDYGCgfYuNjW20ZjlQuvE8lelllG3NqPc9eefOsvfHVaQerFlgz2a1snnJAg6s/YHyslL78f633cXDH3xey+GYzWZ+/PFHfvzxR8xmM4J6YjbDjz9Km5zt5kqdzmrbU2zpCJlrl20iwbp165gxYwaPPPII7dq1u+r28vPzsVgsREbWHsSOjIwkOzu7Xm3897//tUdcl2LWrFnMnDnT/rk60vFUAkclSGMzXcPrnLNZrexbs5qCjHRuuO8v9iyzk7t2sGPZl3S+fjgJ3XoC4BMQSNfhowmKiqnVRlBUdJ12jUajvaZeWVlZrXR5wWUwGqG6FmFZmXzrhblSp7Pa9hRbOkLm2uWl5iK2bNnCZ599Rq9evbjmmmuYMmUKkyZNuup2/5wJdanJp39m6dKlvPrqq3z33Xd1qiNcjE6nQ6fz7LEIq9mCoaAI75BAVIE6Asckcmb/bvYu+I6opHYMuvM+QBr037nyG8pLS+g6YgyRidKy0TEdOtK2dz9iOlxTq90RD/61Xs9XKpX06tXLvi+oJ0olVNlNjuVP7LhSp7Pa9hRbOkLm2mXrdPr160e/fv34v//7P7766is+++wzZs6cidVqZf369cTGxjqsyXYpwsLCUKlUdaKa3NzcOtHPn/n666954IEH+Pbbbxk+fHij3keOFGZncu7gfrwDAunQbyAAFScLSf14G1llp+j8/M1EJEgL5Rn1etIOH8D6p3C96/AxAHj51syjSujag4Su9U/w+DPe3t7s3r270fe3WLy9wRPs5kqdzmrbU2zpCJlrl58b/BM+Pj5MmzaNrVu3cvjwYZ5++mn+/e9/ExERwc0331zvdrRaLcnJyaxfv77W8fXr19O/f/9L3rd06VKmTp3Kl19+ybhx4xr9Hu6itCCfEzu31RpPAVjx71f5aPq95Jw9bT+WffIEe75YRsraX+3HFGolfqpAWvtdgz6/wH681TWdGPXIkwy+5/5a7Q6cPIWBk6cQGHF5xy0QCATgAU7nYjp06MCbb75Jeno6S5cubfD9M2fO5JNPPuGzzz4jJSWFp556irS0NKZPl7KpZs2aVatq9dKlS7n33nv573//y3XXXUd2djbZ2dkUFxc77Z0cYbVasFprCpkW5WRz6Ne1nNxVO+Fh5Ruz+fjR+8k5c8p+LCPlCN/PncPOVd/UulZfVIilxERZQc3S3wGn/BjdehrtQmvmO2kTAvC9sTUJrw4hsTpEBwLCIuhyw3Ci23Zw2nsKBIKWh0c5nWpUKhUTJkywry5aXyZNmsS8efN47bXX6N69O5s3b+ann34iPj4egKysLNLS0uzXf/TRR5jNZh577DGio6Pt2xNPPNFgzZknj2MqN9g/Z58+yYYFH7H3x1W1rlv03OO8fed4sk+dtB/LOXOS9R+/y76far+vvqiQ0gt56IsK7ccCwiJp064XMdE1zsFmtjJEdzs3xz1Gq4SacZbAjjEotEpaJdWknysUCoIHJqLxbbpxqfLycgYMGMCAAQMoLy9vMh0eR3k5DBggbXK2myt1OqttT7GlI2SuXbZjOq7i0Ucf5dFHH3V4buHChbU+b9y40WnPXf7Pl7j/3/OIaS9NgCzOzWb/z9/T6prOJI+bYL9OUTXwV3FRWnFgRBRtevYmPL5NrTaHXH8/9LQQEtfWfsw/14/e5mF4+9UseqdQK1H56rBUVqAoA0Kl477Jkfj2jkKhktd3D6vVak9jt8qwjIdssVqhOv1fznZzpU5nte0ptnSEzLW3OKfTVARERNb6AxoWm0CfCbcTEtO61nXj7n4ahcGKf/uaVOJAYwj9dTehUfvVulZ5wIilyIiyD1DlY9Qh3ig0dZ1I+F+uRRWgRaGuOafQyHMRNJ1Ox8qq5XY9PRPQreh0NcsUy9lurtTprLY9xZaOkLl2WVckaA5Uz9zN+PU4kX0SUPlJ68KUHy+gZP05tDF+BN9aMw8p683dWAoqCH+km73sf/kf+VxYnII21p+Ix7rbry364QzWCjP+A1uhqSqqabPaQFE3NVwgEAicRbNerrq5UPz9GULbRNqdDpVWKtPL6tQu07byw+KnqX0sIYDQ+zujDq5dvC/oxtrdbcBV10ITCAQCVyKcjpvwah9cqztLGx9A6L2dUAXVDn9D7+7451tR+Wnx7nDp0jvNDYvFYq/+PWjQIFQqeXYDyg6LBaqrpg8aBHK1myt1OqttT7GlI2SuXXSvuZjmUGXa3ej1evuifWVlZfj6+l7hDgEAej1UL3ZYVgZytZsrdTqrbU+xpSPcoF10rwmaFQqFwl5FXIxNNQCFAqqrr8vZbq7U6ay2PcWWjpC5dhHpuBgR6QgEguZGs1zaQCAQCATND+F0BAKBQOA2hNMRyI7y8nJGjBjBiBEjRBmchlBeDiNGSJuc7eZKnc5q21Ns6QiZaxeJBALZYbVa+eWXX+z7gnpitUKV3eRY/sSOK3U6q21PsaUjZK5dOB2B7NDpdCxevNi+L6gnOh1U2U2O5U/suFKns9r2FFs6QubaRfaaixHZawKBoLkhstcEAoFA4BGI7jWB7LBYLOzbJ6182rNnT1EGp75YLFBlN3r2lF35Ezuu1Omstj3Flo6QuXbRveZiRPdawxFlcBqJp5RuEWVwXIsogyMQNAyFQmFfzVWUwWkACgVU2U2O5U/suFKns9r2FFs6QubaRaTjYkSkIxAImhsikUAgEAgEHoFwOgKBQCBwG8LpCGRHRUUFEyZMYMKECVRUVDS1HM+hogImTJA2OdvNlTqd1ban2NIRMtcuxnRcjBjTaTgie62ReErGlchecy0ie00gaBharZaPP/7Yvi+oJ1otVNkNOdvNlTqd1ban2NIRMtcuIh0XIyIdgUDQ3BDZawKBQCDwCET3mkB2WK1WUlJSAOjYsSNKpfhuVC+sVqiyGx07glzt5kqdzmrbU2zpCJlrF91rLkZ0rzUckUjQSDxl8FskErgWmScSyMsFuoH58+eTmJiIl5cXycnJbNmy5bLXb9q0ieTkZLy8vGjTpg0ffvihm5S2bMLCwggLC2tqGZ5HWJi0yR1X6nRW255iS0fIWHuL6l77+uuvefLJJ5k/fz4DBgzgo48+YsyYMRw9epS4uLg61589e5axY8fy4IMPsnjxYrZt28ajjz5KeHg4EydObII3aBn4+vqSl5fX1DI8D19f8AS7uVKns9r2FFs6QubaW1T3Wt++fenZsycffPCB/VjHjh2ZMGECc+bMqXP9888/z+rVq+3jCwDTp0/n4MGD7Nixo17PrA5DMzMzRfeaQCBoFpSUlBATEyPm6VwOk8nE3r17eeGFF2odHzlyJNu3b3d4z44dOxg5cmStY6NGjeLTTz+lsrISjUZT5x6j0YjRaLR/LikpASAmJuZqX0EgEAg8nhYzppOfn4/FYiEyMrLW8cjISLKzsx3ek52d7fB6s9lMfn6+w3vmzJlDYGCgfYuNjXXOCwgEV0AHLK7adE2s5XK4Uqez2vYUWzpC7tpbTKRTzZ/XZ7HZbJdds8XR9Y6OVzNr1ixmzpxp/1xSUkJsbKzoXmsAer3e7uxzcnJE9lp90evxrbLbhJwc+WZcuVKns9r2FFs6wg3aq7vXGkOLcTphYWGoVKo6UU1ubm6daKaaqKgoh9er1WpCQ0Md3qPT6dDp6n6/8PX1FX8864lWq+Xtt98GIDg42GE3psABWi1U2c03OBjkajdX6nRW255iS0e4QbvFYmn0vS0ukSA5OZn58+fbj3Xq1Inx48dfMpHg+++/5+jRo/ZjjzzyCAcOHGhwIoGYpyMQCJoLYp5OPZk5cyaffPIJn332GSkpKTz11FOkpaUxffp0QOoau/fee+3XT58+nXPnzjFz5kxSUlL47LPP+PTTT3nmmWea6hUEAoHAo2kx3WsAkyZN4sKFC7z22mtkZWXRpUsXfvrpJ+Kr1hPPysoiLS3Nfn1iYiI//fQTTz31FO+//z4xMTG88847Yo6Oi7FarfafQ1xcnCiDU1+sVqj+/Y2Lk135Ezuu1Omstj3Flo6QufYW1b3WFIjutYYjyuA0Ek8p3SLK4LgWmZfBaVGRjsBz8PHxaWoJnomn2M2VOp3VtqfY0hEy1i6cjkB2+Pr6otfrm1qG5+HrK33LlTuu1Omstj3Flo6QuXZ5dfYJBAKBoFkjnI5AIBAI3IZwOgLZYTQaefDBB3nwwQdr1bETXAGjER58UNrkbDdX6nRW255iS0fIXLvIXnMxInut4YjstUbiKRlXInvNtYjsNYGgYWg0Gl5//XX7vqCeaDRQZTdZl21xpU5nte0ptnSEzLWLSMfFiEhHIBA0N0QZHIFAIBB4BKJ7TSA7bDabfb2isLCwyy49IbgImw2q13kKCwO52s2VOp3VtqfY0hEy1y6cjkB2GAwGIiIiAJFI0CAMBqiym6wHv12p01lte4otHSFz7cLpuJjqIbPqZasFV+biagQlJSVXtXZHi+LiWeglJSBXu7lSp7Pa9hRbOsIN2qv/njUmJUAkEriYM2fOkJSU1NQyBAKBwOmcPn2aNm3aNOgeEem4mJCQEADS0tIIDAxsYjWeQ/Uy3+fPnxdZf/VE2KxxCLs1nOLiYuLi4ux/3xqCcDoupnotmMDAQPEL3QgCAgKE3RqIsFnjEHZrOI1Z60qkTAsEAoHAbQinIxAIBAK3IZyOi9HpdLzyyivodLqmluJRCLs1HGGzxiHs1nCuxmYie00gEAgEbkNEOgKBQCBwG8LpCAQCgcBtCKcjEAgEArchnI5AIBAI3IZwOgKBQCBwG8LpCAQCgcBtCKcjEAgEArchnI5AIBAI3IZwOgKBQCBwG8LpCAQCgcBtCKcjEAgEArchnI5AIBAI3IZwOgKBQCBwG8LpCAQCgcBtCKcjEAgEArchnI5AIBAI3IZwOgKBQCBwG8LpCAQCgcBtCKcjEAgEArchnI5AIBAI3IZwOgKBQCBwG8LpCAQCgcBtCKcjEAgEArchnI5AIBAI3IZwOgKBQCBwG8LpCAQCgcBtCKcjEAgEArchnI5AIBAI3IZwOgKBQCBwG8LpCAQCgcBtCKcjEAgEArchnI5AIBAI3IZwOgKBQCBwG8LpCAQCgcBtqJtaQHPHarWSmZmJv78/CoWiqeUIBALBVWOz2SgtLSUmJgalsmGxi3A6LiYzM5PY2NimliEQCARO5/z587Ru3bpB97QYpzNnzhxWrFjBsWPH8Pb2pn///rzxxht06NDhsvdt2rSJmTNncuTIEWJiYnjuueeYPn16vZ/r7+8PwPlj+wkoPgbnd0PGbsj+A2zm2hdrA6B1L4jtA7F9IborqHUNfldPR6/XExMTA0hO29fXt4kVeQh6PVTZjcxMkKvdXKnTWW17ii0d4QbtJSUlxMbG2v++NQSFzWazOV2RDBk9ejSTJ0+md+/emM1mXnzxRQ4fPszRo0cv+Uft7NmzdOnShQcffJCHH36Ybdu28eijj7J06VImTpxYr+eWlJQQGBhIcXExAQEBNSdMesjYC2m/Q9oOOL8LTGW1b1Z7QatkiO8vba37gM6vsSbwGGw2G/n5+QCEhYWJbsn6YrNBld0ICwO52s2VOp3VtqfY0hFu0H7Jv2v1oMU4nT+Tl5dHREQEmzZtYvDgwQ6vef7551m9ejUpKSn2Y9OnT+fgwYPs2LGjXs+p9w/HYoacw3BuB6Rtl/415Ne+RqGCmO5VTmgAxF0H3sH10iEQCATO4mqcTovpXvszxcXFAISEhFzymh07djBy5Mhax0aNGsWnn35KZWUlGo2mzj1GoxGj0Wj/XFJSUj9BKjXE9JC2fo9K31YunIJz22u24jQpOsrYC9vfBRQQ2VlyQAkDpH99w+r3PIFAIGgCWqTTsdlszJw5k4EDB9KlS5dLXpednU1kZGStY5GRkZjNZvLz84mOjq5zz5w5c5g9e3bdxg5+DW37Qvg1oNZeWaRCAWHtpC35PulYUZoUAZ3bJjmhCych5w9p2/WRdE14xxoHlDAQ/CKu/CyZYTKZeOuttwB49tln0WrrYS8BmExQZTeefRbkajdX6nRW255iS0fIXHuL7F577LHH+PHHH9m6detlMy/at2/P/fffz6xZs+zHtm3bxsCBA8nKyiIqKqrOPY4indjYWIpf8CdApwClBiKugaiu0hbdVeouawxluZIDSt0m/Zt7tO41Ye0l55MwEBIGeYQT0uv1+PlJY1dlZWUikaC+6PVQZTfKyuQ7+O1Knc5q21Ns6Qg3aBfdaw3g8ccfZ/Xq1WzevPmKqX5RUVFkZ2fXOpabm4tarSY0NNThPTqdDp3OQcZZXD8oToGKYsg+LG0sgcA4eOpwzXWHvgWfYIjqBn7hl38ZvwjofIu0AegvVEVBVY4o5w/IPyFtez6TrgnrIDmgxEEQP/DKz2gC1Go1f/nLX+z7gnqiVkOV3ZCz3Vyp01lte4otHSFz7S0m0rHZbDz++OOsXLmSjRs30q5duyve8/zzz/P9999z9GhNBPHII49w4MCBxiUS+PtLXWTZhySnk3UI/KPgpnnVIuHNRCgvlD77x0iRUHQ3iO4uJREExNT/pQ0FUnZc6hZpy/4D+NOPO7yj5IASB0tdcj6XHuMSCAQCENlr9eLRRx/lyy+/5Lvvvqs1NycwMBBvb28AZs2aRUZGBosWLQJqUqYffvhhHnzwQXbs2MH06dOdkzLtCJMBVv8Vsg5KSQR/JnEw3Pd9zecT6yC8AwTF1S8t0lAgjQWlboHUrVIkVAsFRF0rPSdxsBSdeTXsF0ogEDR/hNOpB5ea67FgwQKmTp0KwNSpU0lNTWXjxo3285s2beKpp56yTw59/vnnGzQ5tNE/HGOpFJlkHZQio8wD0H4UDH9FOm8okKIiAO8QKQqK7l6VAdcdAmOv7Ij0F+DcVji7Bc5uhvzjtc8rVFJ7ba6HxOulCasar/q/g0AgaJYIpyNjruaHUwebrcaR5J2A5Q9AbgpYK+te2/cRGPNvad9SCWU5ENDq8o6oNEeKgs5ulv4tOFP7vEoHcX0lB5R4veSQVM7vM9br9URESAkPubm5IpGgvuj1UGU3cnPlO/jtSp3OattTbOkIN2gXiQQthYsdRnh7mL4FzEbIOQJZByBzvxQR5R6Vut2qyT4E/xsKvhGSo2jVs2ZO0MXZbP6RcO1t0gZQdF5yQGc3w9lNUJpV85l/gC6gKinhemhzg/RMJ81+NhgMTmmnxeEpdnOlTme17Sm2dISMtYtIx8U4NdKpL5UVYLOC1kf6fHgZrHgIbJa61wa0liKijjddvs3qyapnNkoO6OwWqCiqfY1flOR8qrvjAls1Sr7VaiUtLQ2AuLi4BlexbbFYrVBlN+LiQK52c6VOZ7XtKbZ0hBu0i+41GdMkTscRJoOUOJCxryoi2gf5JwGblJyQWFUK6MhK+O1fENNTqvvWKhmiutQtPGq1SBHUmU2SI0rbAeaK2teEta9yQkOkiEgkJQgEzQLhdGSMbJyOIypKpESFVj1BW9Xvu/ZF2PFe7etUWimrrVUy9H9cypb7M5UVcH6n5IDObJQc28Xp2Uo1tOoFSUMkJ9Qq2SXjQQKBwPUIpyNjZO10HKHPr6rvtq+mzlt5Qc35Jw/XOJ0/lkPeccmZtO5Ve45PeaHUBXfmNzj9GxSerf0cXYAUXSUNgaShENLGfqqyspL3338fkKpHOKpxJ3BAZSVU2Y3HHgO52s2VOp3VtqfY0hFu0C6cjozxOKfzZ2w2KEyVnE/OERj295pkgaV3wfEfa64NaQOte1c5oWQphVupks4VpkrO58xvUpfcn8eDghMl55M0FH1kMn6h0iRYUQanAXhK6RZRBse1iDI4Ao9GoYCQRGmrzmqrptN4aZwmfY9UfLTgjLQd+lpaC+iF8zVOp7xImmfU635pPCjrgOSETm+QuuUKz8KeT2HPp/goVBx7Lp7DhnDUOQchoW9NO4JLo1LBXXfV7MsVV+p0VtueYktHyFy7iHRcjMdHOvWlvFCKhtL3SJtSDXd9VXN+fj8plTugNcT2liKi1n2kMj8Wk1Qh4fQGaftzNQbvYGkcqO0wSBoGAXWrewsEAvchutdkTItxOpfDUgmfDJPqzdmstc+pdNDpZpj4Sc2xwnNVDuhXqSvO+Kc1iSI6Q9uh0Ha4VKqnBS7pLRA0JaJ7TSBvVBp4eLNU2idzv7Q0d/pu6d/yAikqqsZqga/uhshOUrr1oGelZbzP/AanfpXuzz0ibdvfBY2vlJDQbrjkhIITmuotBQJBPRCRjosRkc5lsNngwmnAJi1WB1K9uQ8H1L5OFyB1x8VdJ9V/0+dJDujUL6DPrX1taFtoO0JyQvEDW1atOL0eEhKk/dRU+Q5+u1Kns9r2FFs6wg3aRfeajBFOp4GYDFSc+I03Hp9I/9Yqhl8TiKJSX3P++hdgSNWievoC2L9IyoQ7v0taxuHiqgtq76ooaIQUBYUkuvVV3I6nZFyJ7DXXIrLXBIIGoPVB22kMt723FwBbh3Yo8o5JGW5pv0tdbtWkbYdfqqpuBydA5wngFSTNNUrfDaWZcHKttAGEtpMcULsR0tpBzW0syNsb/vijZl+uuFKns9r2FFs6QubaRaTjYkSk40JSvodNbzhenM47BIa/KmXVnVwP538Hq7nmvMZXqhHXbqS0NbJOnEDQEhHdazJGOB03UFEsRTZpv0tb+m6pDtyM/TWVDn6fD/sXg0Itrd5aUVi7jcgukvNpP0qa3CpK9AgEl0Q4HRkjnE7DqaysZOHChYC0sF6Dy+CYTVJ6dqueNdUTvr5HioyqUaqlqtg2i7Rkw8V4BUldcO1HS1USPGUJ78pKqLIbU6fKt3SLK3U6q21PsaUj3KBdOB0ZI5xOw9Hr9fhVDYQ6rQxO3nFpHaC0HdKS3Rc7GqUGxs2FsxulrLiLS/QoVFLWXPtRkhMKa++0NYOcjqcMfotEAtciEgkEgoahUqkYP368fd8phHeQtj4PVtWTOys5n9RtUldc8r3SZjHD/L5SVQS1Tlok79w2aVv/dwiKl5xPh9FSSrZa6xx9zkClgiq7ybH8iR1X6nRW255iS0fIXLuIdFyMiHQ8DEslfDgQ8o45OKmgVsKC1l+qjNB+jDQe5BvqLpUCQZMiutdkjHA6HkppjhTdpG6Vtvzj0vG4/hCaBCfW/mliqkKauNphtOSEnLh0t0AgN4TTkTHC6TQTynIlJ+QXBfH9pCWBj6yA5Q84vj4oHq65Ea4ZC7HXiWw4QbNCOB0ZI5xOwzEYDHTq1AmAo0eP4uPj08SKLkH+KdjxrrRYXcHpS1/nFSQlInQYI1XJdtWy3QYDVNmNo0dBrnZzpU5nte0ptnSEG7SLRAJBs8Jms3Hu3Dn7vmwJaws3/Z+0X5IpOZ/UzVKWXFEaJN4A2YekoqaHvpY2hRJiekDXSdDxJgiIcZ4emw2q7Iac7eZKnc5q21Ns6QiZaxdORyA7vLy82LVrl33fIwiIgW6TpA2klVL9oqQK2+d3wtoXIXOftLRD9TLga56DwNZSN1yPe6XK2lczDuTlBVV2Q852c6VOZ7XtKbZ0hMy1t6jutc2bN/PWW2+xd+9esrKyWLlyJRMmTLjk9Rs3bmTIkCF1jqekpHDNNdfU65mie00ASNW0T2+AYz9IVRPMFXWvCU6ADuOkrriEgWK1VIFsEd1r9USv19OtWzfuv/9+Jk6cWO/7jh8/Xsuw4eHhrpAnaM6EJklbnwdrlutO+RGOfQ9F56Vjhanw+/vSplBJyz10mgB9HhLp2IJmQ4uKdC5GoVDUO9IpLCwkKCioUc8RkU7DMZvNfP311wBMmjQJtbqZfzeyWqCyXIqEUn6Aw99Qp4CpTygkDIJe06RCpY4wm6HKbkyaBHK1myt1OqttT7GlI9ygXWSvNYKGOJ2EhAQqKiro1KkTL730ksMut2qMRiNGo9H+uaSkhNjYWOF0GoBLyuB4EqU5sPsTSFkN+SdrrxEEUj24jjdJXXFKdU0U5CmlW0QZHNciyuB4LtHR0Xz88cckJydjNBr54osvGDZsGBs3bmTw4MEO75kzZw6zZ892s9LmhVKpZPjw4fb9Fod/JAx9UdqsVjj2I+xdKCUkmEqliOj0BvjhKUABvmFSRYS2Y2DkELCqQM52Uyqh6ufrdJ3OatuVGl2NzLWLSOcykY4jbrrpJhQKBatXr3Z4XkQ6ApeSf0oaB0r5ATL21D2vUEnVtTveDB1vrFnaQSBwIiLScSPXXXcdixcvvuR5nU6HTtfMVqQUyIewtjDwKWkrzoDD38KhryD3GGCTuuLSd0vb6V+lheyiu4NJLy1i5x3UtPoFLR7hdBrI/v37iY6ObmoZAoG02unAJ6XNUCB1wx36Cs7tkJzPmY3w8Q0QGCdlzp3dBK371CzZHdVV1IcTuJ0W5XTKyso4deqU/fPZs2c5cOAAISEhxMXFMWvWLDIyMli0aBEA8+bNIyEhgc6dO2MymVi8eDHLly9n+fLlTfUKLQKDwUDv3r0B2L17t3zL4MgJnxC4ZiJM+TeoI+Gzl+H0z9JS3cVp0gbSst3nf4cN/5Amr7YdDu2GS8s1aLzdo9VggKqfL7t3O78MjjPadqVGVyNz7S3K6ezZs6dW5tnMmTMBuO+++1i4cCFZWVmkpaXZz5tMJp555hkyMjLw9vamc+fO/Pjjj4wdO9bt2lsSNpuNo0eP2vcF9cRmk2ptAVwzHpLvApNB6mZL+R6O/SQlIlRTlg0HFsPBL+HpEzVOx1AA3sGui4Iu1umKMjjOaNuVGl2NzLW32EQCdyHm6TQci8XCli1bABg0aJDzFnJr7lgsUGU3Bg2qu4CX2SR1sR1dJSUiXLxCqncIXDNOmoy6+S0oTof2I6HdKEgcDFonflu+kk45tO1Kja7GDdrFPB0ZI5yOQJZYKiF1Cxz9ToqCDBcufa3aS5qY2n6UtAXFuU+nQJYIpyNjhNMRyB6LGdK2w5FVkgP68+J0F1dH6DAO7vyy5rPVKsu5IALXIlKmBc0Ks9nMDz/8AMCNN97Y/MvgOAuzGarsxo031r/8iUotdaElDoaxb0HaDjiyEo6uru2AFCppvOfkL1IpnuJ0+GSYNDG1/WipUkJ91gpqrM764Ky2XanR1chcu4h0XIyIdBpOiy+D01icXf7EaqlyQKukkjxlOTXnvIMhtB2k76o5ptRA4iDoMFZyQkGx7tHpirZFGZzLIiIdQbNCqVTSv39/+76gniiVUGU3p3R5KVXSEgsJA2HMGzUO6Oh3UgRU7XDUXqDSgrGkpkTPT8/APSug7TDX63RF267U6Gpkrl1EOi5GRDqCZofVAue21XTBGfJrzml9QesPFYXwzKma7radH0HecSlDLmEQqLVNo13gFEQigYwRTkfQrLGY4dxW+GOF1AVXXlhzzj8GOt8CXSbCD09KS3cD6AKkigjXjIO2I+o3DiSQFcLpyBjhdAQtBkslnNkEfyyXVkg1ltSc842QqmeXZNZOz1ZqoNPNcNtn7tcraDRX83dNfh1+ghZPeXk5vXv3pnfv3pSXlze1HM+hvFwqf9K7t7TvblQaqaTOLR/As6dg8lLochtofKUxoOzDksMJiIULXqDXgLUSFBf9GbLZpLWELpxunAZn2aCpbXk1yFy7SCQQyA6r1cqePXvs+4J6YrVCld1oarupdXDNWGkzGeDkWikCOrEOSs5D9erboe2kGnBF56Vst9yj8OPT0rmIztLyDB1vgsgu9SvL4ywbyMmWDUXm2oXTEcgOnU5nn6cjloloADpdzfwMOdlN6yON7XS+BSqK4ej3sOljKD4MF07CjpOw412I6wexfSB+AKT9DrlHpG3TGxCcIDmf5PulitmXwlk2kKst64PMtYsxHRcjxnQEgkugvyDVgftjhZQNV135QKGSMtxCEqUxoLObwFwhnbt7udSFB2Ask4qUKj2oLlozQSQSyBjhdASCelCcIaVgH/4Wsg7UHFd7S04muI00OfXmd2vSrde9BAe/ripUOl5yVCrReeMOhNORMcLpNByLxcKGDRsAGDp0qKgyXV8sFqiyG0OHyrcy8pV05p+CP5ZJDuhCzfpXeAVKVbC73gFx/eHj62vSsAF8QqXacKZ4COwCw0ZcXZVpT7ClI9ygXTgdGSOcTsMRZXAaiaeUbqmvTpsNsg5KzueP5VCaVXMuoJXkgELbQOZBKUW7vKDmfK4F3syueY6rNMoRUQZHIGgYSqWSbt262fcF9USphCq7ybH8iZ366lQoIKa7tI14TRr3OfSNVAWhJAN+f1+6LrwjXPcoBMfB6S2wawmU+dd8w7dapa64diPq3wXnKbZ0hMy1i0jHxYhIRyBwMpUVcHIdHP4GTqwFi6nmXPwAqQJC22FSxhvAuR2wYLS07xMmjf90uVXKlhNJCI3Co7rXysvLsdls9nXvz507x8qVK+nUqRMjR450pxS3IJyOQOBCyouk8juHvoHUrdgz4FRaacG5rpMgOBF2/0+KkC7ugvOLkhxQ34cvn4YtqEOTOJ1du3axceNGcnNz60zgmzt37iXvGzlyJLfeeivTp0+nqKiIa665Bo1GQ35+PnPnzuWRRx5pjBzZIpyOQOAmitPh8DLJAeUeqTnuFVhVA+42MBulLLlj30tzhgCmrYO4vtJ+ZblUNbs+E1FbMG4f0/nXv/7FSy+9RIcOHYiMjERx0Q9IcYUf1r59+3j77bcBWLZsGZGRkezfv5/ly5fz97//vdk5HUHDKS8vZ8yYMQCsWbMGb2/vJlbkIZSXQ5XdWLMG5Go3V+kMbA3JD8NLq8D3GvjrMDi6EkozYe9CaQuKl6KfaeugMBVO/wqte9e08fMsaeyow80w90co95K3LR0h89+DRkU6kZGRvPHGG0ydOrXBD/Tx8eHYsWPExcVxxx130LlzZ1555RXOnz9Phw4dMBgMDW5TzohIp+GI7LVG4ikZV+5cxM3bS+p2O/SNNBHVVFZzbevekgPqMhF8QqSEg3ldpCSFajItcOcr0PNOyal5Ak6yr81mu2QQ4fZIR6lUMmDAgMbcStu2bVm1ahW33HILa9eu5amnngIgNzdX/FEWAFLpm2+++ca+L6gnOh1U2U2O5U/suFLnn9tWqqSltdtcLy3FffwnOPiVFOGk75a2n2dJS253vxMe3gynfoFD30qL0cUAm16HTf+U5gfd+rFz9bqCBto3vTSdE4UnSCtJI7UklbTSNM6VnGN6t+nc3v52p8trVKTz5ptvkpmZybx58xr8wGXLlnHXXXdhsVgYNmwY69atA2DOnDls3ryZNWvWNLhNOSMiHYFAhpTmSBNQD35Ve4Kpd7AU+XS7C4LjpVVSDy+DtO0w8CkY/qp0naUSjq+RnJXGq0leob6YLCbSy9JJK0mTttI0ZibPxEcjJXPN3jGbZSeW1bnvvk738UzvZxy26fZEAqvVyrhx4zhx4gSdOnVCo9HUOr9ixYrL3p+dnU1WVhbdunWzz8PYtWsXAQEBXHPNNQ2VI2uE0xEIZE7OUTj0ldQFd/EE1NB20G2y1AWHTcqI84+Szp1YC1/eIS1I1/Fm6DYJ4gc22bwYo8WIWqFGVZUC/sOZH/ju1HecLz1Plj4Lq612steym5bRIaQDAF8d+4oVJ1eQEJBAXEAc8QHxxAfEkxCYQIDW8d8stzudxx57jE8//ZQhQ4bUSSQAWLBggcP7zGYzXl5eHDhwgC5dujT0sVfN5s2beeutt9i7dy9ZWVmsXLmSCRMmXPaeTZs2MXPmTI4cOUJMTAzPPfcc06dPr/czhdNpOBaLhd9//x2A6667TpTBqS8WC1TZjeuuk2/pFlfqvJq2rRY4s1GKflK+B3P1WjQKSBwE3e+WKl1rfaUKCev+DiXpNfcHtIaut0tOKqKjs97Ijr5Sz7mSc5wvPc/50vOkl6ZzvvQ8aaVp5OhzWHHzCtoGtwWLhU/XzGbehZX2e33UPsQHxBPrH0t8QDwT20+klV+rRmtxu9Px9/fnq6++Yty4cQ29laSkJFasWGGfce5O1qxZw7Zt2+jZsycTJ068otM5e/YsXbp04cEHH+Thhx9m27ZtPProoyxdupSJEyfW65nC6TQckUjQSEQigfPaLsyBIbHQTQOJFw19a/2k8jvd74TY6+D8Tjj0NRxZBcbimuse2w3h7Rv0SJvNRn55vuRQyiSHcmvbW4n2iwbgf4f+xzv737nk/e8MeYchcUNAr+dkh1COJHoT+8UPxEd2INQr9IqZxQ3B7YkEISEhJCU1bjLVSy+9xKxZs1i8eDEhISGNaqOxjBkzxp6KWx8+/PBD4uLi7GNXHTt2ZM+ePfznP/+pt9MRNByFQkHbtm3t+4J6olBAld1kPc/ElTqd1bbOH/TxsB349w9w4js48CUUnoUDi6UtKB663SmN9Yx5E078LDmgkszaDmfH++AXCdeMw6hUokSJRiUNSezI3MGXx74kvTSd9NJ0KiwVtWR0Du1sdzqxAbGEeIUQ6x9ba4sLiCPOP44gXZD9vdt5x9IuG4joAd4+jbeDC2hUpLNgwQJ+/vlnFixYYK8sUF969OjBqVOnqKysJD4+vs632H379jVUTqNQKBRXjHQGDx5Mjx49+L//+z/7sZUrV3LHHXdgMBjqjGUBGI1GjEaj/XNJSQmxsbEi0hEIPB2bTVpc7uCX8MdKMJXWnIsfCD3uho43U2qt5FRpquRIis6QvvM90lWQrtGSq1Ly/rUzGNzjL6BQsObsGp7b/Jy9GaVCSbRvNK39WxPrH8tt7W6jc1jnqsdfOoXZ3bg90nnnnXc4ffo0kZGRJCQk1PnjeznHcaUxFDmRnZ1NZGRkrWORkZGYzWby8/OJjo6uc8+cOXOYPXu2uyQKBAJ3oVBAfD9KojuT0WcamSd+IP3sr2QUp3Jz1i66nNsKPz7D5nYDeKH8WM19vrWz2zJ+exW2fgDd7qRbuyG82PdFe9QS7Rttj4LqPl4eDudqaZTTuRrH8corrzT63qbgzz/o6sDwUr8As2bNYubMmfbP1ZGOQCDwDAyVBrL0WQTpggj1DgVgb85e3tj1Bull6ZReHOEABPqT0GYYXc7sh4LTxJ3aSKuIMFqhpnVwW1q17k9sWCdal12g9anNBKX/BKWn4bfXiVHA5MHPuv0dKy2VFBmL7FthRaHD/bGJY7kp6SanPrvBTsdsNgMwbdq0Rv8xLSoqYtmyZZw+fZpnn32WkJAQ9u3bR2RkJK1aNT6jwtlERUWRnZ1d61hubi5qtZrQ0FCH9+h0OjGh8SqpqKiwj5ktX74cLy95z4OQDRUVUD3WuHw5yNVurtTZgLZzDblsPL+RjLIMMsoyyCzLJKMsg4IKqSjorH3B3HXKH5YvR6VQkVKQYr83xCuEVn6t7Fun2BtgXDc4v5Nr9y/m5yMrpeoH6Wlw+DdocwP0uAdufg9uNEvZcQe/rErHruL4GmnrMQVa96r3mFS5uZxiY7HdYRSX5VH03n8o0lkpvmUMhZZSyYlU1DgZfaW+Xm23C25Xr+saQqOz1w4fPkxCQkKDH3jo0CGGDx9OYGAgqampHD9+nDZt2vDyyy9z7tw5Fi1a1OA2G0N9xnSef/55vv/+e44ePWo/9sgjj3DgwAF27NhRr+eI7LWGI7LXGonIXgO9HkNoAJmhGjI3fU+WuYAMfQZZZVlklGVwR4c7mNB2AgAHcg8wZc0Uh834qX15ePEppv58AcrK0Gthd/Zuu5Opnlh5SUx6ybHsXwypW2qOewXCtbdLDii6ey3HYls8EcWpXwCoCIojs90QTsQmk6PC7lSKjEV19o0WI41BgYIgXRBBXkHSv7oggr2CCdQFEqwLJkgXRMfQjlwTUnfupNvHdIYNG8bGjRsbVXtt5syZTJ06lTfffBN/f3/78TFjxnDXXXc1Rk69KSsr49SpmuVvz549y4EDBwgJCSEuLo5Zs2aRkZFhd3zTp0/nvffeY+bMmTz44IPs2LGDTz/9lKVLl7pUZ0tHq9Xa53pptdomVuNBaLVQPUdOzna7Cp02m40SUwmZZZlk6jPJKsuic1hnekT0AOBQyXHu/qiTdPG2mXXuT45Mtu+39m/NDa1vINovmlZ+rWjt15oYvxha+bciQOENlUtgkqTRV6Phhtgb6qXRarNSajNTkjiA4lZdKLpwnOKTaylK206JqZii08spTl1JsVcAxX6hFKnUFFeW0b4sjwl+vozQG/ApSqPN7s+J2/05W3y8Wenny28+3peMftQKtd15BGoDCMopIQhvAjsnE+wdWsuxVDsXf60/SoX7J7M2KtL56KOPePXVV7n77rtJTk6u80305ptvvuS9gYGB7Nu3j6SkJPz9/Tl48CBt2rTh3LlzdOjQgYqKikvee7Vs3LiRIUOG1Dl+3333sXDhQqZOnUpqaiobN260n9u0aRNPPfWUfXLo888/LyaHCgQuwmK1kFeeh1qpJsw7DJBqg83ZNUdyNGWZGMy1iwLf3/l+ZvaSHEyuIZdh3w7DX+NPjF+MfYv2jaa1X2vaB7cnNqB+wwIWq4VSUyklphKKjcUUm4rtUUaJscT++eJzxcZiSkwldSoANIQIpTc3VVQypqiADvoiADICo/luyAwCdYG1nEf1Z1+Nr1sTDdw+OfRySwgrFAosFsslz0dGRvLzzz/To0ePWk5n3bp1PPDAA5w/f76hcmSNcDoCQV1KTCWsTV1LVlkW2fpsMvWZZOuzydHnYLaZazmSbH02I5aNqHV/iFcIMb4xRPtFMyR2iH2w22azUVpZai/fYrPZKDeX2x1HiamEEmNJrc/VTuNiR1JiKqmbMNBAvNXeBOoCCdRKjiFAF1DjKJRaAvJOEJj6O0H5pwmyWgi0WAnwi0bT/S6p+y04AfJOwP4vILobXHub1HB5IXw7VZoj1PFm0Lp/Ho5HrRz60EMPkZeXxzfffENISAiHDh1CpVIxYcIEBg8e3KgionJGOJ2GY7FYOHz4MADXXnutKINTXywWqLIb117r9jI4VpuVXEMuWfosssqyyNJLDiVbn02WPoth8cN4pNsjYLGQs28Tw48+4bAdtULNxPYTeem6lwAp4vj2xLcEaAPw1fiiU+mosFTYHUi1w5A+F1NcmEWJxUCJwkixqRiz1XxV7+Wj9rE7iwBdAIHaQMmZVDmUAF2APeK4+JxWVc+uw+zD0tjPoa8lh1JN4mDoca9UeufioqI7P4Y1VRlvukCp+nXyfRB1rXTMDb8HHuV0SkpKGDt2LEeOHKG0tJSYmBiys7Pp168fP/30U7MbNBZOp+GIRIJG4sIBepvNRkFFAdmGbLsjydZn0yGkAze2uRGAHH0Ow5cNv2Qbw+OG81zv5ygpzqFoxEDevj0S376D0Gl90Cg1KBVKrFgxmU2UVZZJTqTKsZispqvSr1aoCdAFEKCVHMTF/1ZHILWOWTQEduhGgMGCpthNSRmVFXD8R9j3hVQDrnrpba8gKcut570Q1UWqeLB/iRQBFZ2rub9VMiRPhTZjIDhCOuaihJImcTqbNm3iP//5DykpKSgUCjp27Mizzz7LoEGD6nX/hg0b2LdvH1arlZ49ezJ8+KV/WT0Z4XQajsFgoF07KVXz5MmTDa560WIxGKDKbpw8CfW0W/XgfLY+mxxDDgHaALpHdAegqKKIu366ixx9jsM//F3DunJj0o2UmkopNhazJGUJWpUWtVKNEsmJVForMZqN2Li677dKhRJ/rb/kFKo3Xc1+oC6QQIU3AU+9QEC5jcCvvyMgIJJAXSDeau+GjXk00pZOoyhNKruzfzEUXzTk0CpZcj5dJoLGF85uklZEPfYDWM2gVMP0vdBjgEu1u93pLF68mPvvv59bb72VAQMGYLPZ2L59OytXrmThwoWXzUJbtGgRkyZNqjOXxWQy8dVXX3Hvvfc2VI6sEU5H0JRUOxSjxYiP2odSUyl55Xl8cPADcg25FFQUUGwsptJaab8n0ieSxMBEykxStJFWmuY0PRqlxu4sLnYg1fuBusDajkVXc95X49sk2VZNitUCZ36DfYvg2E9Q/XPS+EKXW6DnfdIKqPo8yUmV5cDoOTX3r3kBIjtJTkrrvIjH7U6nY8eOPPTQQ/ZVP6uZO3cu//vf/0hJSbnEnaBSqcjKyiIiIqLW8QsXLhAREXHZJARPRDgdwdVSPRheVllGmamM0spS+7+lJmm/qKKIQ/mH7IPgBrOBCnMFZqv5qiOMi6mONvw1/jXOocqB+Gn8ahzIRRGIv9bfvnmpvJpNORe3U5YnrfuzbxHkn6g5Ht5Rin66TZaW3a7mwml4t6e0rwuUzve63ynLLrjd6eh0Oo4cOWKvBFzNqVOn6NKly2XTnpVKJTk5OYSHh9c6fvDgQYYMGUJBQUFD5cga4XRaNharBb1ZT5mpzO40Lv631FSKvlIvOY/K2ueqB8nLK8ux0vgU3ItRK9UEaAOwYcNH7UOANoAQrxDCvMPs4xkXO4nqLUAbgJ/Gz+2puQIH2GzSkgp7P4cjK2vW/VHpoNPNUvSTMBAqiiQHtWeBVB27mrj+0PsBKUFB3bjqKW6fHBobG8uvv/5ax+n8+uuvlyyN06NHDxQKBQqFgmHDhqFW1zzaYrFw9uxZRo8e3Rg5gmZGRUUFU6ZIM8W/+OKLJimDY7aa0Vfq0VfqKassk/41ldX+fJGDuPh8aWUpepN0/s9zSpyJr8aX3pG9pShD68fe7D14nzlPmFFN+KAxRAe0lqoVB8QS7h2On8YPnUrX9E6jogKqfr588YXzy+A4o21XarxaFAqIu07axvwbDn8rjetkH5b2D38LRh8obAX/XAH9HoezG2H3p1KZnbTt0jbhQ2ldIHfLb0yk88EHH/Dkk08ybdo0+vfvj0KhYOvWrSxcuJD/+7//4+GHH65zT3Xl5dmzZ/P000/bs5NAmnWekJDAxIkTm90MdBHpNJzGZq9ZrBYMZgP6Sj2GSoPdGVzsPP58vM41JslRlNtXjXQOOpUOX40vfhq/y46RxPrHMqPnDPw0fvhp/Hj999dRKVRE+UYR7RdNpE8kUb5RRPpEEuMXQ5RvVM3NogyO89r2FFtWY7NB5n7Y9zkc+haqa6spNXDNOCmrLfF6KMuWsuOOfgcP/goab+m64z9LSQhJQ+u15HaTZK+tXLmS//73v/bxm+rstfHjx1/2vs8//5xJkya1mCKOwulcGpvNRoWlwu4kqh1GSXkJq9euppJKkvsnU2GtwFBpsDsGQ6UBvVlfx7k421FAjbPwUfugVWntqb2+Gl+SgpLsXU6LUxZTbCzGYqs7Jnlt2LV8Oe5L++dRy0ZRaCwk0ieSSJ9IInwiiPCJINI3kviAePrH9G+c2MpK+Phjaf+hh8DBek+ywJU6ndW2p9jSEfpC+GAmVOwC80XLaQcnSvN5ut8NvuE1JXVsNnivN1w4KV3T+wHpGp9LL7LpFqfzzjvv8NBDD+Hl5UVaWhqxsbGNDtM9pcq0M2hOTqfSUonBbLA7iOo//hd/dnjuIodS/W95ZTl6s/6qyoVcCrVCjY/GBz+Nn/1fX42vFGlo/fBR+9ijDi+1F1abFZPVhLfKm+4R3fHR+OCv8WfWlllk6DPINeTWqcrbNbwrS8YusX8etWwUmfpMFCgI8Qoh0ldyJpE+kSQFJXHnNTXdGIZKQ8NTeAWCxpB9WOp6O/QNGEukY3+OfswVsOEf0tyf6iW31V7Q7zEY9neHzbrF6ajVajIzM4mIiLhkBlp9kEuVaXfRFE6n0lpJubmc8spyys3ldidQvV9uLrc7gur9Wv9e7Fgu2r/amd2Xo9oR+Gp88dH42D/7aKqOq33x1Vb9e9F11fu+aumzn9YPrVKLxWahoKIAo9lYq9bWP3//J+ll6eQZ8sgrz7OXsYe6jmT08tFklGXYP/tqfKWoxDuCDiEdeLZ3zToopwpP4af1I9Q7FI3Sg74VC1oGJj38sUJyQBl7ao4HJ0rOp8c9Ulfb4W9h1yeQcxiGvgSXWOvHLYkEMTExLF++nLFjx2Kz2UhPT79kllpcXNwl23nqqaearMq0XLDZbDWOwcFWYa6o9bnaOVQ7kTrHqz9XOY2L51y4Aq1Si4/GB2+1dy0n4aP2sTsCH7UP3hpvuzOodg7V91Rf46vxxUvtVWv+hdVq5fTp0wAkJSXVqvVXPW7jr6353fnk8CdklGWQZ8gj15BrdyZWm5WuYV1ZMq7GkWzJ2FLLkYA0d6TamVzMy9e9jEapIdwnnAifCHw1l+7Xbxvc9pLn3IbVClV2IympXn3zTYIrdTqrbU+xpSMcadf6Qs8p0nZx9FN4Fn55BX77p5TN1msaPLwZ0ndDaJJL5NU70vn44495/PHH7Yu4OaJ6De/LzbVpyirTTUH1N4LhXwzHrDXbHYqjvn9no1Ko8FZ7252Ct9rb4edajqPKmVSf99X44q3xrnXOFd/kL17/Xa/X03pkazRhGqY/M53CykIpMjHkcaHiAp1CO9UaIxmzfAzpZel12lQpVHQM6cjSG2uWolh5ciUAYd5h9u6vQF1g8+jq8pTBb5FI4Frqq92khz+Ww57PpCSEasLaQ/L9def9XIRbIp2HHnqIO++8k3PnztG1a1d++eWXS66eeTm8vLwoKSmpc/z48eN15u40JzLKMlB51y28p1aq8VZJf/y9Nd52R+Cl8qpz7OKtOpKodg5/dirVzkFOf0y3pG8hS59FXnmevXsrz5BHfnk+0X7Rtbq2om6NQh2mZuWZlXXaySvPq/X59g63YzQbCfMJI8I7gnCfcMK9wwnxCkGlrG3zW9rd4pqXkwuBgU2toH64Uqez2vYUWzqiPtq1vtKk0p73QuYB2LtAynzLPwFrZ8Gvs2HAEzDkb06V1qjstc8//5zJkyc3alnmllplevOpzYQHh9c4lCpn4un9/3/k/yE5kirnkVcuOZN8Qz5h3mF8OOJD+7VjV4zlfKnjpSsifCL49fZf7Z/n7plLiamECJ8Ie1QS7h1OuI/kTNTKRk0xEwgEl6OiRBrX2bNAGtcZ/W+47pE6lzVplelHH32U1157jbCwsHpdL6pMy59zJeeksZGqaKTameQb8gnQBTD3hrn2a8etGHfJeScR3hH8ekeNI5m9Yzb55fmS8/AOrxOZhPs030hXIPAobDbI2AuhbcE7qM7pJnU6AQEBHDhwgDZt2jToPlFl2r1cKL9QqzvL7kjK8/HT+PHagNfs19648kbOlZxz2M6fHclzm54jU58pORHvMLsDqY5OOoR0cPm7CQQC9+L2MjgX01ifNXToUIYOHXq1j2/RVJgr7A7kYieSX56Pl8qLWX1n2a+d+vNUUktSHbYT7l07wogPiEeBgnCfKkdyUWQS6RNZ69o3r3/T6e9lNBrtVS0++uijRnXjtkiMRqiuBvLRRyBXu7lSp7Pa9hRbOkLm2q860rk4A62+7Nq1i40bN5Kbm4vVWnty4Ny5cy9xl2fS0G8EVpuVYmNxLQdSvWmUGp5KrqnsfdPKmy7pSMK8w/jtjt/snx9Y+wCni04T5h1GmE8YYV5hdqcS6RPJ8Hj5RJpiEbdG4ikZVyJ7zbW4QXuTRjqlpQ1bR/xf//oXL730Eh06dCAyMrJWdpWcMq2cTYW5gtKyUintt6qrK788H5VCxSPdawbqJq6eyKmiUw7bCPUKreV0wn3CydJnSY6kKiIJ9Q4l3FuaV3Ixn4z8xGPsq9FoePPNN+37gnqi0UCV3WRdtsWVOp3VtqfY0hEy117vSMdRmvOluJzni4yM5I033mDq1Kn1bs+Tqf5G0PGDjg5TpkO8Qtg0aZP98wNrH2BX9i6CdcGEeofanUn1eMmUTlPs1xotRrRKrcc4E4FA0DxwS6QTFBR0xT9u9ZkcqlQqGTBgQP0VNiO0Si3hPlI0Ut299efxlLk3zMVH7YNGdeVvKDqVvPpqBQKB4ErU2+n89ttvV76oHjz11FO8//77zW4+zpVYd9s6WoW2uqLjDtR58IQ0J2G1WsnKygIgOjq6VhkcwWWwWqHKbkRHy7d0iyt1OqttT7GlI2Su/aoTCRqK1Wpl3LhxnDhxgk6dOtXps1+xYoU75bgcuaRMexIikaCReMrgt0gkcC0yTyS4KhdoMBg4duwYhw4dqrVdjscff5zffvuN9u3bExoaSmBgYK3N1cyfP5/ExES8vLxITk5my5Ytl7x248aN9tVOL96OHTvmcp0tHbVaXWt1WUE9UaulTe64Uqez2vYUWzpCxtobpSovL4/777+fNWvWODx/uTGdRYsWsXz5csaNG9eYR18VX3/9NU8++STz589nwIABfPTRR4wZM4ajR49etjL28ePHa3nz5lwjTg74+vpSWenaStnNEl9fafExueNKnc5q21Ns6QiZa29UpPPkk09SWFjI77//jre3Nz///DOff/457dq1Y/Xq1Ze9NyQkhKQk15TMvhJz587lgQce4C9/+QsdO3Zk3rx5xMbG8sEHH1z2voiICKKiouybSlU3C00gEAgEV6ZRTmfDhg28/fbb9O7dG6VSSXx8PPfccw9vvvkmc+bMuey9r776Kq+88goGg6FRghuLyWRi7969jBw5stbxkSNHsn379sve26NHD6Kjoxk2bNgVEyqMRiMlJSW1NoFAIBBINKp7Ta/X21cNDQkJIS8vj/bt23Pttdeyb9++y977zjvvcPr0aSIjI0lISKiTSHCl+xtLfn4+FouFyMjaZVwiIyPJzs52eE90dDQff/wxycnJGI1GvvjiC4YNG8bGjRsZPHiww3vmzJnD7Nmzna6/JWE0Gpk5cyYgRaeiDE49MRqhym7MnSu78id2XKnTWW17ii0dIXPtjcpe6927N6+//jqjRo1iwoQJBAQEMGfOHN555x2WLVtmX/XREVf6g/zKK680VE69yMzMpFWrVmzfvp1+/frZj//zn//kiy++qHdywE033YRCobhkN6LRaMRoNNo/l5SUEBsbK7LXGoDIXmsknpJxJbLXXIvMs9caFek8+eST9nkUr7zyCqNGjWLJkiVotVoWLlx42Xtd5VSuRFhYGCqVqk5Uk5ubWyf6uRzXXXcdixcvvuR5nU4nvplfJRqNxv57IsrgNACNBqr/f8nZbq7U6ay2PcWWjpC5dqfM06lOnY6Li6v3ujpNQd++fUlOTmb+/Pn2Y506dWL8+PFXHIuq5rbbbqOgoIANGzbU63oxT0cgEDQ3mrTgJ4CPjw89e/as17UWi4W3336bb775hrS0NEwmU63zBQUFzpDkkJkzZzJlyhR69epFv379+Pjjj0lLS2P69OkAzJo1i4yMDBYtWgTAvHnzSEhIoHPnzphMJhYvXszy5ctZvny5yzQKBAJBc6ZRTsdms7Fs2TJ+++03h8sTXK6qwOzZs/nkk0+YOXMmL7/8Mi+++CKpqamsWrWKv//9742RU28mTZrEhQsXeO2118jKyqJLly789NNPxMfHA5CVlUVaWs0qmCaTiWeeeYaMjAy8vb3p3LkzP/74I2PHjnWpzpaOzWajuLgYgMDAQFHQtL7YbFBlNwIDQa52c6VOZ7XtKbZ0hMy1N6p7bcaMGXz88ccMGTKkzvIEAAsWLLjkvUlJSbzzzjuMGzcOf39/Dhw4YD/2+++/8+WXXzb8LWSM6F5rOCKRoJF4yuC3SCRwLc0xkWDx4sWsWLGiUd/4s7OzufbaawHw8/Ozf6O98cYbefnllxsjRyAQCAQeQqMmhwYGBjZopdCLad26tT3zrW3btqxbtw6A3bt3i6wvASCNEZpMJkwmEz4+Pk0tx3Pw8QGTSdrkbDdX6nRW255iS0fIXHujnM6rr77K7NmzKS8vb/C9t9xyC7/++isATzzxBC+//DLt2rXj3nvvZdq0aY2RI2hmKBQKNBoNGo1GjOc0BIVCSpHVaGTXj18LV+p0VtueYktHyFx7o8Z0DAYDt956K9u2bbvqqgI7d+5k27ZttG3blptvvrmhUmSPGNMRCATNDbeP6UydOpW9e/dyzz33OEwkuBSVlZU89NBDvPzyy/buub59+9K3b9/GyBA0U0wmEy+++CIgVYzQarVNrMhDMJmgym78858gV7u5Uqez2vYUWzpC5tobFen4+vqydu1aBg4c2OAHBgUFsW/fvkaPCXkaItJpOCJ7rZF4SsaVyF5zLc0xey02NrbRf0BvueUWVq1aZS/oKBD8GY1GwzPPPGPfF9QTjQaq7CbH8id2XKnTWW17ii0dIXPtjYp0fvzxR959910+/PBDEhISGnTvP//5T/7zn/8wbNgwkpOT63yLnTFjRkPlyBoR6QgEgubG1fxda5TTCQ4OxmAwYDab8fHxqfNt9HKlbBITEy8tRqHgzJkzDZUja4TTEQgEzQ23d6/NmzevMbcBcPbs2UbfK2gZ2Gw2zGYzAGq1WqRN1xebDarshloty3RZwLU6ndW2p9jSETLX3mCnU1lZycaNG2tloAkEzsRgMIhEgsZgMHjG4LcrdTqrbU+xpSNkrr3BTkej0bBy5cqrKlmTnp7O6tWrHVaZnjt3bqPbFQgEAoG8aVT32tVkoP3666/cfPPNJCYmcvz4cbp06UJqaio2m63eyyMImjc+Pj4UFhba9wX1xMcHquwmx/Indlyp01lte4otHSFz7Y1yOm3btuUf//gH27dvb3AG2qxZs3j66ad57bXX8Pf3Z/ny5URERHD33XczevToxsgRNDMUCgVBQUFNLcPzUCjAE+zmSp3OattTbOkImWtvVPba1WSgXbycQXBwMFu3bqVz584cPHiQ8ePHk5qa2lA5skZkrwkEguaG27PXriYDzdfXF6PRCEBMTAynT5+mc+fOAOTn5ze6XUHzwWQy8a9//QuAv/3tb6IMTn0xmaDKbvztb7Irf2LHlTqd1ban2NIRMtfeqEjnYqpvr29a64QJExg3bhwPPvggzz33HCtXrmTq1KmsWLGC4OBgfvnll6uRIztEpNNwRBmcRuIppVtaaBkci8VCZWXlVbdzRQwGqB4f37ev0eM6Wq0WpdLxQgRuj3QAFi1axFtvvcXJkycBaN++Pc8++yxTpky57H1z586lrKwMkJZIKCsr4+uvv6Zt27a8/fbbjZUjaEao1WoeffRR+76gnqjVUGU35Gw3V+p0VttO1Giz2cjOzqaoqOiq2mnAA2HJEmk/O7vR83SUSiWJiYlO72loVKQzd+5cXn75Zf76178yYMAAbDYb27Zt4/333+f111/nqaeecqpIT0ZEOgJByyYrK4uioiIiIiLw8fHxiMnOVquVzMxMNBoNcXFxdTS7PdJ59913+eCDD7j33nvtx8aPH0/nzp159dVX6+V09uzZQ0pKCgqFgo4dO5KcnNwYKQKBQCBbLBaL3eGEhoY2tZwGER4eTmZmJmaz2amFdxvldLKysujfv3+d4/3/v717j46iyvcF/q2qfufRSQgJAQIEggiCPCUEjBxxBkTFwHFmVMaIowMHRJHhOqPo8fg4V5mH4xpHEcXxiq9BdEkQl4igEsDhIQjhLRkUCK+QhCTdST+rq/f9o7o7CekO3UlXd3Xy+6xVK7srVTu/bJr+Ze/atWvixMCjqEM5e/Ys7r77bvzrX/8KTIttaGjAxIkTsXr1auTm5nYkJEIIUR3/NZxEvN/MP6wmSVJUk06HHledn5+Pjz76qM3+NWvWYPDgwe2ee//990MURRw7dgx1dXWoq6vDsWPHwBjDAw880JFwSBdjs9kCj6u22WzxDidx2GzNjylWc7spGWe06o5yjDEdUpMk4Pvv5U2SOlyNUjF3qKfz7LPP4s4778S2bdswadIkcByHb7/9Fl9//XXQZNTS9u3bsWPHDgwZMiSwb8iQIXjllVcwadKkjoRDuiD/gp8kQonSbkrGGa26E6Utg+ncpGRFdSjp3HHHHdi9ezdeeuklrFu3DowxDBs2DN999x1Gjx7d7rn9+vULOm3Q4/GgT58+HQmHdDFGoxFnz54NlEmYjEbA125Qc7spGWe06k6UtgyG54Frr20uqw2LsXXr1rHx48ezPXv2MK/XyxhjbM+ePWzChAmstLRU8Z+/fPlyNmDAAKbX69mYMWPYtm3b2j2+rKyMjRkzhun1epaXl8dWrFgR0c+zWCwMALNYLJ0JmxCSgBwOBzt69ChzOBzxDiWoZcuWsQkTJgT9Xnuxd+ZzLaI0yPM8BEFod7vSfRX33XcfysvLUVBQAIPBAL1ej4KCAuzbtw/3338/MjIyAlu0rVmzBosXL8aTTz6J/fv3o6ioCNOnT0dlZWXQ40+ePIlbbrkFRUVF2L9/P5544gksWrQIn3zySdRjI4SQWDtw4ABGjhwZ058Z0fBaaWlpyO/t2LEDr7zySmCFglA68wC4znrppZfwwAMP4Le//W0gli+//BIrVqzAsmXL2hz/+uuvo1+/foGYhw4dir179+LFF1/EHXfcEcvQuxW3242XX34ZAPDII4/QMjjhcrsBX7vhkUdUt/xJgJJxRqvuRGnLYLxeoLpaLmdltTvEduDAgXYXaFZExH2jyxw7dozNnDmTCYLA7r33Xnb69OnOVqkIl8vFBEFga9eubbV/0aJF7IYbbgh6TlFREVu0aFGrfWvXrmUajYa53e6g5zidTmaxWALbmTNnaHgtQk1NTQwAA8CampriHU7iaGpiTL6ELJfVSsk4o1V3lOoJNkTl9XqZzSV2avNfmgjK42Fszx5583gCu48ePcomT57MDAYDGzVqFNuzZw8TBIHt2LEj7Nj9OjO81uH1Hc6fP4+nn34a77zzDqZNm4by8nIMHz48Wrkw6mprayFJErKzs1vtz87ORlVVVdBzqqqqgh7v8XhQW1uLnJycNucsW7YMzz77bPQC74Y0Gg3mzJkTKJMwaTSAr91UvwyOUnFGq24FY3SIEob9z5edquPoc9Ng0oWIi+MA/42ovmnPP/zwAwoKCjBv3jy89dZbOHjwIIqLi8EYw7X+SQcxEnFrWiwWvPDCC3jllVcwatQofP311ygqKlIiNkVcPvecMdbufPRgxwfb77d06dJWD7ezWq10w2uE9Ho9Vq1aFe8wEo9eDyRCuykZZ7TqTpS2DIbngcseP7Nw4UIUFxfjxRdfBAAMGjQIH330Efbt2xfzBXUjSjp//vOf8ac//Qm9evXC6tWrUVxcrFRcUZeZmQlBENr0aqqrq9v0Zvx69eoV9HiNRhNySQu9Xg+9Xh+doAkhXY5RK+Doc9M6XUe4Tp8+jW+++Qb79u1rtV+r1cZ8EgEQYdJ5/PHHYTQakZ+fj3feeQfvvPNO0OPWrl0bleCiSafTYezYsdi8eTNmzZoV2L958+aQybOwsBCfffZZq32bNm3CuHHjorosBCGk++A4LvTQmALKy8uh0WgwYsSIVvv37duH2bNnxywOv4h+83vvvTchVkgNZcmSJSgpKcG4ceNQWFiIlStXorKyEvPnzwcgD42dO3cO7777LgBg/vz5ePXVV7FkyRLMnTsXO3fuxFtvvYXVq1fH89fo8mw2W+BG4XPnztHzdMJlswH+G6zPnVP383SUijNadSdKWwYjScDBg3L52mvB8zy8Xi/cbnfgGumGDRtw5MgRjBo1KubhRZR0En2c/c4778SlS5fw3HPP4cKFCxg+fDg2bNiA/v37A5AXMm15z05eXh42bNiA3/3ud1i+fDl69+6Nv//97zRdOgYsFku8Q0hMidJuSsYZrboTpS2DabHm2tixY6HVavHoo4/i0UcfxeHDh7FgwQIAiMvwWqefHEraR8/TiZzX68WPP/4IQL7gGerpheQyXi/gazcMGqTOJVAAZeOMVt1RqsfpdOLkyZPIy8uDwWDoWCyRYgxwueSyXg9wHN5//30sXboUNpsNo0ePRkFBAd58803U1NR0KPbOfK5R0lEYJR1Cuq+4JJ0oUSrpqPRPIUIIIV2Riu8gI92VKIpYuXIlAGDevHk0UzBcogj42g3z5snPglEjJeOMVt2J0pbBeL1Aba1czsxU3TArDa8pjIbXImez2ZCcnAwAaGpqotlr4bLZAF+7oalJvTOulIwzWnVHqZ64DK9JErB/v1wePRoQwr+npyWlhteop0NURxAE/OIXvwiUSZgEAfC1W0c/aGJCyTijVXeitGUwHAekpzeXVYZ6Ogqjng4h3RdNJGhLXYN9hBBCujRKOoQQQmKGkg5RHbvdjj59+qBPnz6w2+3xDidx2O3y0i19+shltVIyzmjVnShtGYwkAQcOyFuLlQnUgiYSENVhjOH8+fOBMgkTY4Cv3aDmdlMyzmjVnShtGYooxjuCkCjpENUxGAzY75vymWgXX+PKYGieKqvmdlMyzmjVnShtGQzPA8OGNZdVhpIOUR1BEOKy+m3CEwQgEdpNyTijVXeitGUwHAeYTPGOIiT1pUFCCCFdFiUdojqiKGLVqlVYtWoVRBWPTauOKMqPWF61StVj+orGGa26lYyRMcBt69zW3nUm/zI4tbVy2efMmTP49a9/jfT0dKSnp2P27Nmor6+P7u8WBro5VGF0c2jkaBmcDqJlcBJjGRy3DXihd8fi8nviPKALEVOQZXBOnDiBiRMnYv78+Zg9ezZsNhsefPBBjBgxAv/4xz/Cj92HlsEhXYogCLjlllsCZRImQQB87abqpVuUjDNadSdKWwbDcYDZ3FyG/BTkBQsW4Nlnnw0c9oc//AG///3vYx8e9XSURT0dQrqvoL0FxgCxk/f+aE1hr6t2+vRpDBgwAEajsdUDESVJQm5uLioqKsKP3Yd6OoQQkig4LvTQmAIOHDiAjIwM7N69u833jEZjzOLwo6RDCCFdmFarRWNjI3JyclRxfZRmrxHVsdvtGDx4MAYPHkzL4ETCbgcGD5Y3NbebknFGq+5EactgJAk4dEjeJAkFBQVITU1FSUkJysvLceLECWzcuBGPPPJIXMKjng5RHcYYTpw4ESiTMDEG+NpN1Uu3KBlntOpOlLYMxeUKFDMyMrBhwwY89thjmDx5MhhjyM/PR0lJSVxCo6RDVMdgMODbb78NlEmYDAbA126qXrpFyTijVXeitGUwPA9cfXVzGcD48eOxZcuWOAbVjJIOUR1BEDBp0qR4h5F4BAFIhHZTMs5o1Z0obRkMxzXfY6RCdE2HEEJIzHSbpFNfX4+SkhKYzWaYzWaUlJSgoaGh3XPuu+8+cBzXapswYUJsAu7GPB4PPv74Y3z88cfweDzxDidxeDzAxx/Lm5rbTck4o1V3orRlMIwBdXXypsLrUd1meG327Nk4e/YsNm7cCACYN28eSkpK8Nlnn7V73s0334y333478Fqn0ykaJwFcLhd+9atfAZCXwdFous3btHNcLsDXbmhqAtTabkrGGa26E6Utg/F6gZ9+ksu+ZXDUJIFasuOOHTuGjRs3YteuXSgoKAAAvPnmmygsLMTx48cxZMiQkOfq9Xr06tUrVqESADzPY/LkyYEyCRPPA752U+NzVAKUjDNadSdKWwbDcUBKSnNZZbpF0tm5cyfMZnMg4QDAhAkTYDabsWPHjnaTTllZGbKyspCWlobJkyfj+eefR1ZWVsjjXS4XXC2mK1qt1uj8Et2I0WhEWVlZvMNIPEYjkAjtpmSc0ao7UdoyGJ4H2vlMi7cES+EdU1VVFTRRZGVloaqqKuR506dPxwcffIBvvvkGf/3rX7Fnzx5MmTKlVVK53LJlywLXjcxmM3Jzc6PyOxBCSFeQ0EnnmWeeaXOh//Jt7969AAAuSDeTMRZ0v9+dd96JW2+9FcOHD8eMGTPwxRdfoKKiAp9//nnIc5YuXQqLxRLYzpw50/lflBBCuoiEHl576KGHcNddd7V7zIABA3Dw4EFcvHixzfdqamqQnZ0d9s/LyclB//798e9//zvkMXq9Hnq9Puw6SVsOhwOFhYUA5KHReCxKmJAcDsDXbti5Ux4iUiMl44xW3YnSlsF4vcCxY3J56FDVXZNK6KSTmZmJzMzMKx5XWFgIi8WC7777DuPHjwcA7N69GxaLBRMnTgz75126dAlnzpxBTk5Oh2MmV+b1enHgwIFAmYTJ6wV87QY1t5uScUar7kRpy2AYk5Omv6wy6kqBChk6dChuvvlmzJ07F7t27cKuXbswd+5c3Hbbba0mEVx99dUoLS0FIE/VffTRR7Fz506cOnUKZWVlmDFjBjIzMzFr1qx4/SrdgsFgwKZNm7Bp0yZaBicSBgOwaZO8qbndlIwzWnUnSlsGw/PAVVfJ22W9nOXLl2PAgAHQaDRxeYAbkOA9nUh88MEHWLRoEaZOnQoAuP322/Hqq6+2Oub48eOwWCwA5KVYDh06hHfffRcNDQ3IycnBjTfeiDVr1iDFPx2RKEIQBPz85z+PdxiJRxCARGg3JeOMVt2J0pbBcBwQ5MFqhw8fxuLFi7Fu3TqMGTMGZv/TRWOs2ySdjIwMvP/+++0e03JFY6PRiC+//FLpsAghJCbWr1+PsWPH4tZbb41rHN0m6cTbIx/uQ2Z6OlKNWqQYNEg1aJFq1CLVoPF99e03apGi14Dn1XdTV6x4PJ5Awp82bRqtSBAujwfw/6E0bZp676JXMs5o1a1gjIwxODyOTtVh1BhDz7xlDPCN2MBsBjgOgwYNwk++VQo4jsM999yD9957r1MxdJRK35Vdz9fHasDrbWEdy3FAsj54Yko1Xnl/oictl8uF2267DQAtgxMRlwvwtZuql25RMs5o1a1gjA6PAwX/LLjyge3YPXs3TFpT8G96vc3PAvItg7Nz504UFhZiwYIFuOeee+L6BFGVviu7nqduGwpRMMDq8MDqFNHo9MDqEGFxiGh0irD6Xrs8XjAGNDo9aHR6cK4h8r+IOA5I0bdNSGajttU+c6Dc+rVJJ7R7/5LSeJ7HuHHjAmUSJp4HfO2mtmmyrSgZZ7TqTpS2DIbjAJOpuQwgOTkZp06dwvXXXx/3Zb04Ro9mVJTVaoXZbIbFYkFqkIt7l3N5pEBCsjo9zUnJl6zk/c2v5e97AvudYuendwo8h1SDplWSMvsSU+vX8lezr9fl36cVEuw/KSEKcTqdOHnyJPLy8gIzMRUfXgti165dmDRpEqxWa9i9nGCx+0X6udYS9XRURq8RoE8WkJncsRtMnaIvafkSlD8pWYIkK39iszqaj/V4GSQvQ71dRL1d7FAMJp3QIhldlpx8ParLN/8xBq26VsQlJNo4jgs9NKaQ8vJy5Ofnx3VYzY+SToys/u40kpJTwXMcBB6+rxz0GgG3Xtt8s2n5mQY02N0QePn7Gp73fZVfD+/TPM3xUpMLosSgEThoeR4agYNG4NAjSYeeKZEnLcYYHKIEq0NOUs2JyV9uTl4tv+9Pak0u+bkjdrcEu1vCBYsz4hh0Gj5oUrq8Z+Xf0kzNZUpYhARXXl6OkSNHxjsMAJR0Yub5z38Ar2/7102KQdMq6bz45XF8e6I2aB0ansOJF24JvF669hA2HW27vA8A8Bxw7H9vhl4jfxA//elhfHWsGjoND63AQSvw0Ag8dAIHnYbH6/eMRYpBC5NOg88PXsD3p+uh0/DQCTx0Gh56jQCdhkffdCN+dd1VSNbLb53jVY04b3FAr+Gh4TlIEoPb64XL44VLlMAYhyZXiyTWopdlcbROXl4GuD1e1DS6UNMYelHVUFomrLQQyaplkkozNX/P304JzeEAfvYzufzVV+pdukXJOKNVd6K0ZTBeL1BRIZd9N4iWl5fj9ttvj29cPpR0YmTqsCxoDMmQGIPXyyAxeRjLpGv9YTcg04QGRyo8EoOXMXgk+ViPxCBcNiON4+TrL5K37WU5LwO0LS6A1ja5252U0HJ8+LuTdfj4+7Mhj71tZE4g6az+rhKrdpwKeeyWR/8DeZlyl/5vX1Xgwz0XYNAIMGh5GLQC0kw65JgNMGgF/GHaEKQataiqs2LK3Qug7zMUt99eDI7n4fEyuD1euD1eOD1egLFWyayzCcuoFVolorTLk5RJ1yqZpZm0SDPqkGJQ0UxBrxfYsaO5rFZKxhmtuhOlLYNhTJ5x5yt7vV4cOnQITz31VHzj8qGkEyMv3Tk6rAtu/3fmiLDrfKNEnl3DGIMoMXi8Xvmr5IXHy1p9GD4+/WrMu2EgRMkLtyQf5/Z4IUryZmwxNDV9RC/072GC2+OFS5I/6F2e5q9Juua3TXaqAcP7pMIl+no3HsnXy/HC6ZFg0DYnPqvDgwa7CCD4taL/vnUY+qab0CtFh7tKfoNN5wR8fTx4r+/ThZMwMjcNALCi7AT+tPE4APiGLHloBblHJ/Acigb3hE7Dw+IQcbrWhgsWJ0TJH6/8geIQJThECVXWyIYEOQ5INfiTkC9hmXRIa9Or0gWOkZOYAr0rvR7wLeMENS86q2Sc0ao7UdoyGJ4HBg0KlHmOg80W3u0asUCz1xTWmVkeic7/1vL3oupsbtTZXHCKXjhFCU7RC4cowen7wJ8+vBdSDFoAwJYfqrG1ogZOUb4+5D/O7pbgcEtY/usxrXpQf/sq9MrfpQ9OxOh+6QCAN7f9hOc3HAt57B+mDUFuhgkWh4jt/67Bl0cuBnqUvO/3YL5eapAOZkSMWqHNcF+aUU5O5hblNF+SSjPpkG7SwqiN75R2Er72ZoCpHc1eIwnn8g/GjCQdMpJ0YZ1749VZuPHq0E9obWnxz67CwhvzAwnJ7vYEJjPY3B4MykoOHDuqXxoeujEfNrcHdpeEJrcHdpcHNpd87A1X9QxM1nCKEr48chGMAR6JAWidZf7fnHEY0TcNFocbn3x/Fiu2/hQyxv49TOAANDhEWOwiGHy9K0vkEy50Au9LSv7elJyM0nyJyZ/A0luU00w6JMX5/itCAEo6RIUkScL27dsBAEVFRRCEKw9DaQUeZqM8kaA91w3IwHUDMsKK4zeT8vCr63Jhc3lgc3nQ5JLQ5PSgySWiySVheB8zeqbo0TNFj+sH98QFixNNLg+svht7m1xi4Cbf54qHY/JVPQHI18GWrj0U8udOGdITGcl6NNhFnKxtwo81rYdG3FLHrl1pBQ7mFr0n/5Bfuqnl8J+cwMy+pJWmRM9KkgDfvy+KiuTFNdVWt5IxKq3lNZ3k5MANompBw2sK687Dax1ls9mQnCz3TpqamlRxb0FnMMbAGALX2KqtTvxQ1Ri4n8p/869/ZYoHrs8L9LY+LT+HJ9Yegs0tBa37/kkDkJ+Vgnq7G/tP1uKriktRj1+n4eXE5E9YgYTUnLT8va30JF0goek0IW4SttnkD0NA/nCM5r9vtOqOUj1xGV6TJGD/frnsWwanI2h4jXQbHMdh2LBhgXKikx+d3vw6K9WArNTwPoCKR/VB8ag+ECVv4H6oltu4/unonSZP5/2ulwmarWWwaI2wDB8Fi1NCg90dSFj/W3wNxvbPQIPDjS0/VOPN7SdD/twkvQYuUQrMGrxodeGiNbKeVZJOnp2YntQ81Jdu0iFdC6TdOhfpbjvSTtQhPUMM9LZSDZrO/ZtzHOB773TqL/xo1eMT87/to5DglIqZejoKo54OiTe3xwuLQ0SSXoDJN/Pwp5omfPNDNertbjTYRTQ4RDTY3ai3yV//Z8Y1mHZNNmxuCaX7zuKpT4+ErH9IdgpMegENdhE1jU40uYL3ysIh8FzgWpW/NxXoQZm0yAiyL92kU+3SS5IkoaKiAllZWejRo0e8w4mIxWLB+fPnkZ+fD6229bA19XQIISHpNHybFSoG9kzGwJ7JIc5olqzX4JYROcjLTEad3Y0Guxt1NjfqbW7U2UXU29yYP3kQrh8sPzb+84MXsPCf+0LW9x9DeqJvuhH1dhGnam04ct4Kfz+CAZC8DJdsblyyuQGEP803Ra9Bmq9HlW7SBXpO6S16Wi3LGUm6mKxgIQgC0tLSUF1dDQAwmUwJ0Xv3er2oqamByWSK+irv1NNRGPV0SHfiFCVUW124ZHOhzpc86nzbpSY37h6fi3G+iRxXSlB3j8/F8D5mNNhFHDlnwYbDVeAAaAQOHDj55ulOzFs3aPlAzynD35NK8r329aRaJquMJF2HJlUwxlBVVYWGhoYOxxoPPM8jLy8POl3bGaed+VyjpKMwSjqRczgcgSU71q9fD2MiLUESTw4H4F/qZP169S7d4ouTAbB9vBZ1koBamwuXmtyobXKhttGF2iYXZo3pi1G+G4A3HLqABz8InaB+9/PBuD4/E/X1Nuz521t4o9d10PAcDFoeGp4Hx8mTutySvDyT1MFPPZ1GTlTpSTpkJGl9Ccr3ukWiykjS+crNs/8kSYIodmwR3Yg4ncCDD8rl117r8PUdnU4X8tEilHRUjJJO5Lra7LWYUXJWWDR1ME63x4tLNhdqG92oaXL6vspTx/9zTB9c2zcNsNnw2bjpeLj4sZD1vDBrOGaM7I16m4itFdV4Zv1RpBg1SNJpoNfKawhyXi88x34A4zjYBgxCvd0Dt9Sx5XD0Gl5OQi2SkT9Btdof+H4nV6uIwfuArumQLkWv1+P9998PlEmY9HrA126qXrqlg3HqNDxyzEbkmI0AzMEP0usx47//Czd5G1A7bQZqHB5UW12obnShutGJaqsLQ3NSkWLQBjaJMXkyxeWP8sjshz/2seOuBTeCCQK2VdTgydLDSDPJ5xl1ArQ8B57nwJi8QkWj04N6u1vebKLcs/J4ccHijOgm4CSd0Cop9fAnqxbJKcPX28pI0sNs1Davzajy9wH1dBRGPR1C1Ev03Whb3ejCRasT1VYnqqxO3xRxJx6eMhjj8+RrUGv3ncWSjw6ErGvZf47A3eP7AQAOnbXgtbIT6JGsg9m3ertOy0PgAI+XweIQUWcTUWdzyc+usvkSlV0MuoDvlXAckGaUe089LutVBV4ny0OB/oTVmScEU0+HEEI6QCvw6J1mDNzr1J4bh2Thw3kTcNHqRJWlOTFdsDhQZXG2quPf1Y344nBV0HoEnsNffzkSM0f3AQCcqrVha0UNeqcZkZNqQKpRC4/Xi3q7KM8UtPtnC/q+2kTU2/2TM1ywOj1gDIEHL/5UE96sP/+wX8utZa+qR5IOg7NTkJ915VmOkaCkozB/R9JqtcY5ksQhSRLKy8sBAKNGjQprGRwC+U50X7th1Cj1Lt2iZJzRqjtIPQKAYZlaDMvUAkgJepr///nANB6PTclFldWFixa593TB4kR1owuil0HrdQaO3X7kHJ5ad7hVPUadPJSYnWrAfxUNxM2j5SWUrE4RjQ4R2akGaHz3Jnkkr+9eKzfqmkQ02JyorziJercX9ak9UO8QfQmpeaq76PHC4QLO2YBz7TTDbyYNwP+ZOiTk79mRgTIaXlPYTz/9hEH+ZcYJIaQL+fHHHzFw4MCIzqGejsIyMuTx4MrKSpjNIS5+kjasVityc3Nx5swZuhYWJmqzjqF2i5zFYkG/fv0Cn2+RoKSjMP88d7PZTG/oDkhNTaV2ixC1WcdQu0Uu1H087Z6jQByEEEJIUJR0CCGExAwlHYXp9Xo8/fTTdJNjhKjdIkdt1jHUbpHrTJvR7DVCCCExQz0dQgghMUNJhxBCSMxQ0iGEEBIzlHQIIYTEDCWdGHr++ecxceJEmEwmpKWlxTsc1XrttdeQl5cHg8GAsWPHYvv27fEOSdW2bduGGTNmoHfv3uA4DuvWrYt3SKq3bNkyXHfddUhJSUFWVhZmzpyJ48ePxzss1VuxYgWuvfbawI20hYWF+OKLLyKqg5JODLndbvzyl7/EggUL4h2Kaq1ZswaLFy/Gk08+if3796OoqAjTp09HZWVlvENTLZvNhpEjR+LVV1+NdygJY+vWrVi4cCF27dqFzZs3w+PxYOrUqbDZwluhubvq27cv/vjHP2Lv3r3Yu3cvpkyZguLiYhw5ciTsOmjKdBysWrUKixcvTrhnpsdCQUEBxowZgxUrVgT2DR06FDNnzsSyZcviGFli4DgOpaWlmDlzZrxDSSg1NTXIysrC1q1bccMNN8Q7nISSkZGBv/zlL3jggQfCOp56OkQ13G43vv/+e0ydOrXV/qlTp2LHjh1xiop0BxaLBQA6tIBldyVJEj788EPYbDYUFhaGfR4t+ElUo7a2FpIkITs7u9X+7OxsVFUFfyAWIZ3FGMOSJUtw/fXXY/jw4fEOR/UOHTqEwsJCOJ1OJCcno7S0FMOGDQv7fOrpdNIzzzwDjuPa3fbu3RvvMBPK5Y/QZYx1+LG6hFzJQw89hIMHD2L16tXxDiUhDBkyBOXl5di1axcWLFiAOXPm4OjRo2GfTz2dTnrooYdw1113tXvMgAEDYhNMgsvMzIQgCG16NdXV1W16P4REw8MPP4z169dj27Zt6Nu3b7zDSQg6nQ75+fkAgHHjxmHPnj14+eWX8cYbb4R1PiWdTsrMzERmZma8w+gSdDodxo4di82bN2PWrFmB/Zs3b0ZxcXEcIyNdDWMMDz/8MEpLS1FWVoa8vLx4h5SwGGNwuVxhH09JJ4YqKytRV1eHyspKSJKEct8z2PPz85GcnBzf4FRiyZIlKCkpwbhx41BYWIiVK1eisrIS8+fPj3doqtXU1IQTJ04EXp88eRLl5eXIyMhAv3794hiZei1cuBD//Oc/8emnnyIlJSXQuzabzTAajXGOTr2eeOIJTJ8+Hbm5uWhsbMSHH36IsrIybNy4MfxKGImZOXPmMABtti1btsQ7NFVZvnw569+/P9PpdGzMmDFs69at8Q5J1bZs2RL0fTVnzpx4h6ZawdoLAHv77bfjHZqq3X///YH/mz179mQ33XQT27RpU0R10H06hBBCYoZmrxFCCIkZSjqEEEJihpIOIYSQmKGkQwghJGYo6RBCCIkZSjqEEEJihpIOIYSQmKGkQwghJGYo6RBCCIkZSjqEEEJihpIOIYSQmKGkQ0gX8frrr2PEiBEwGo0wm82YMmVKvEMipA16tAEhXcAnn3yCxx9/HCtXrsSECRPQ2NiIU6dOxTssQtqgpENIF1BRUYF+/fph6tSpSEtLAwBcc8018Q2KkCBoeI2QLmDu3LkQBAEZGRlITk7Gjz/+GO+QCAmKnqdDSIITRRHTp0/HwIEDMW/ePKSlpWHQoEHgOC7eoRHSBg2vEZLgSktLceLECXz11VfxDoWQK6LhNUISnNvtxoULF/Dee+/h1KlTOHz4MN544w2Iohjv0Ahpg4bXCElwHo8Hjz32GD766CNcvHgRGRkZuOmmm/DBBx/EOzRC2qCkQwghJGZoeI0QQkjMUNIhhBASM5R0CCGExAwlHUIIITFDSYcQQkjMUNIhhBASM5R0CCGExAwlHUIIITFDSYcQQkjMUNIhhBASM5R0CCGExMz/B8saPof+M88CAAAAAElFTkSuQmCC", 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" ] }, - "metadata": { - "needs_background": "light" - }, + "metadata": {}, "output_type": "display_data" } ], "source": [ - "colors = [\n", - " \"#ff7f0e\",\n", - " \"#2ca02c\",\n", - " \"#1f77b4\",\n", - " \"#d62728\",\n", - " \"#9467bd\",\n", - " \"#8c564b\",\n", - " \"#e377c2\",\n", - " \"#7f7f7f\",\n", - " \"#bcbd22\",\n", - " \"#17becf\",\n", - "]\n", - "\n", - "plt.subplots(2, 1, figsize=(3, 4))\n", + "plt.subplots(2, 1, figsize=(4, 6))\n", "\n", "plt.subplot(2, 1, 1)\n", "plt.plot(np.arange(-1, 4, 1), np.zeros(5), c=\"black\")\n", "for epsilon in epsilons_train:\n", " plt.plot([epsilon, epsilon], [-0.1, 1], ls=\":\", c=\"red\")\n", - "plt.plot([0.1, 0.1], [-0.1, 1], ls=\":\", c=\"black\")\n", - "\n", - "for i in range(len(odd_stable_xs)):\n", - " plt.plot(odd_stable_xs[i], odd_stable_ys[i], c=colors[3])\n", - "for i in range(len(odd_unstable_xs)):\n", - " plt.plot(odd_unstable_xs[i], odd_unstable_ys[i], ls=\":\", c=colors[3])\n", - "\n", - "for i in range(len(even_stable_xs)):\n", - " plt.plot(even_stable_xs[i], even_stable_ys[i], c=colors[4])\n", - "for i in range(len(even_unstable_xs)):\n", - " plt.plot(even_unstable_xs[i], even_unstable_ys[i], ls=\":\", c=colors[4])\n", - "\n", - "for i in range(len(periodic_stable_xs)):\n", - " plt.plot(periodic_stable_xs[i], periodic_stable_ys[i], c=colors[5])\n", - "for i in range(len(periodic_unstable_xs)):\n", - " plt.plot(periodic_unstable_xs[i], periodic_unstable_ys[i], ls=\":\", c=colors[5])\n", + "plt.plot([0.0, 0.0], [-0.1, 1], ls=\":\", c=\"black\")\n", + "\n", + "unstable, stable = utils.get_auto_branches(\"data/auto/odd\")\n", + "for branch in stable:\n", + " plt.plot(branch[0], branch[1], c=colors[5])\n", + "for branch in unstable:\n", + " plt.plot(branch[0], branch[1], ls=\":\", c=colors[5])\n", + "unstable, stable = utils.get_auto_branches(\"data/auto/even\")\n", + "for branch in stable:\n", + " plt.plot(branch[0], branch[1], c=colors[6])\n", + "for branch in unstable:\n", + " plt.plot(branch[0], branch[1], ls=\":\", c=colors[6])\n", + "unstable, stable = utils.get_auto_branches(\"data/auto/periodic\")\n", + "for branch in stable:\n", + " plt.plot(branch[0], branch[1], c=colors[7])\n", + "for branch in unstable:\n", + " plt.plot(branch[0], branch[1], ls=\":\", c=colors[7])\n", "\n", "plt.xlim(-1, 3)\n", "plt.ylim(-0.1, 1)\n", @@ -2002,7 +2384,7 @@ "mx = np.max([r_func(epsilons), b3_func(epsilons), b5_func(epsilons)])\n", "for epsilon in epsilons_train:\n", " plt.plot([epsilon, epsilon], [mx, mn], ls=\":\", c=\"red\")\n", - "plt.plot([0.1, 0.1], [mx, mn], ls=\":\", c=\"black\")\n", + "plt.plot([0, 0], [mx, mn], ls=\":\", c=\"black\")\n", "\n", "line1 = plt.plot(epsilons, r_func(epsilons), label=\"$d$\")\n", "line2 = plt.plot(epsilons, b3_func(epsilons), label=\"$e$\")\n", @@ -2040,7 +2422,7 @@ }, { "cell_type": "markdown", - "id": "2ee6768e", + "id": "91df19d2", "metadata": {}, "source": [ "Extrapolate the model to parameters with twentry random initial conditions. The fit correctly predicts the localized states!" @@ -2048,8 +2430,8 @@ }, { "cell_type": "code", - "execution_count": 32, - "id": "80be4f0c", + "execution_count": 35, + "id": "b47f6cad", "metadata": { "scrolled": true }, @@ -2058,7 +2440,7 @@ "name": "stdout", "output_type": "stream", "text": [ - "15 0.980\r" + "68.43747961521149\n" ] } ], @@ -2069,9 +2451,7 @@ " uxxx = np.real(ps.SpectralDerivative(d=3, axis=0)._differentiate(u, L / nx))\n", " uxxxx = np.real(ps.SpectralDerivative(d=4, axis=0)._differentiate(u, L / nx))\n", " return (\n", - " ux_func_fit([epsilon])[0] * ux\n", - " + uxx_func_fit([epsilon])[0] * uxx\n", - " + uxxx_func_fit([epsilon])[0] * uxxx\n", + " +uxx_func_fit([epsilon])[0] * uxx\n", " + uxxxx_func_fit([epsilon])[0] * uxxxx\n", " + (r_func_fit([epsilon])[0] - 1) * u\n", " + b3_func_fit([epsilon])[0] * u**3\n", @@ -2082,17 +2462,15 @@ "nx = 256\n", "L = 2 * np.pi * 16\n", "t1 = 50\n", - "if __name__ == \"testing\":\n", - " n = 64\n", - " t1 = 10\n", "N = nx\n", "dt = 1\n", "\n", - "epsilon = 0.1\n", + "epsilon = 0.0\n", "k = 2\n", "\n", "xs_test = []\n", - "seeds = [13, 15]\n", + "seeds = [1, 5]\n", + "start = timeit.default_timer()\n", "for i in seeds:\n", " np.random.seed(i)\n", " ks = np.arange(-20, 21) / L\n", @@ -2124,36 +2502,38 @@ " )\n", " u = sol.y[:, -1]\n", " us[n] = u\n", - " xs_test.append(np.transpose(us)[:, :, np.newaxis])" + " xs_test.append(np.transpose(us)[:, :, np.newaxis])\n", + "stop = timeit.default_timer()\n", + "print(stop - start)" ] }, { "cell_type": "code", - "execution_count": 33, - "id": "a65d67fc", - "metadata": {}, + "execution_count": 36, + "id": "acb0d89b", + "metadata": { + "scrolled": true + }, "outputs": [ { "data": { - "image/png": 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\n", + "image/png": 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", "text/plain": [ - "
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" ] }, - "metadata": { - "needs_background": "light" - }, + "metadata": {}, "output_type": "display_data" } ], "source": [ - "plt.subplots(2, 1, figsize=(3, 4))\n", + "plt.subplots(2, 1, figsize=(4, 6))\n", "\n", "plt.subplot(2, 1, 1)\n", "u = xs_test[0][:, -1]\n", "ux = ps.SpectralDerivative(d=1, axis=0)._differentiate(u, L / nx)\n", "u = np.roll(u, nx // 2 - np.argmax(ux) + 1)\n", - "plt.plot(u, c=colors[3])\n", + "plt.plot(u, c=colors[5])\n", "plt.ylim(-1.6, 1.6)\n", "plt.ylabel(\"$u$\")\n", "plt.gca().set_xticks([0, 128, 256])\n", @@ -2162,7 +2542,7 @@ "plt.subplot(2, 1, 2)\n", "u = xs_test[1][:, -1]\n", "u = np.roll(u, nx // 2 - np.argmin(u) + 1)\n", - "plt.plot(u, c=colors[4])\n", + "plt.plot(u, c=colors[6])\n", "plt.ylim(-1.6, 1.6)\n", "plt.xlabel(\"$x$\")\n", "plt.ylabel(\"$u$\")\n", @@ -2171,6 +2551,183 @@ "\n", "plt.savefig(\"fig4b.pdf\")" ] + }, + { + "cell_type": "markdown", + "id": "6026b8ae", + "metadata": {}, + "source": [ + "Compare the snaking bifurcations for the fits and the actual equations" + ] + }, + { + "cell_type": "code", + "execution_count": 37, + "id": "89aa39ae", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "plt.subplots(1, 3, figsize=(12, 5))\n", + "\n", + "unstable, stable = utils.get_auto_branches(\"data/auto/odd\")\n", + "plt.subplot(1, 3, 1)\n", + "for branch in stable:\n", + " plt.plot(branch[0], branch[1], c=\"gray\")\n", + "for branch in unstable:\n", + " plt.plot(branch[0], branch[1], ls=\":\", c=\"gray\")\n", + "unstable, stable = utils.get_auto_branches(\"data/auto/even\")\n", + "for branch in stable:\n", + " plt.plot(branch[0], branch[1], c=\"gray\")\n", + "for branch in unstable:\n", + " plt.plot(branch[0], branch[1], ls=\":\", c=\"gray\")\n", + "unstable, stable = utils.get_auto_branches(\"data/auto/periodic\")\n", + "for branch in stable:\n", + " plt.plot(branch[0], branch[1], c=\"gray\")\n", + "for branch in unstable:\n", + " plt.plot(branch[0], branch[1], ls=\":\", c=\"gray\")\n", + "plt.xlabel(r\"$\\varepsilon$\")\n", + "plt.ylabel(\"Norm\")\n", + "plt.ylim(0, 1)\n", + "plt.xlim(-0.5, 1)\n", + "plt.gca().set_xticks([-0.5, 0, 0.5])\n", + "plt.gca().set_yticks([0, 0.2, 0.4, 0.6, 0.8, 1.0])\n", + "plt.title(\"Actual equations\")\n", + "\n", + "unstable, stable = utils.get_auto_branches(\"data/auto/odd2\")\n", + "plt.subplot(1, 3, 3)\n", + "lab = True\n", + "for branch in stable:\n", + " if lab:\n", + " plt.plot(branch[0], branch[1], c=colors[2], label=r\"$\\sigma=0.01$\")\n", + " lab = False\n", + " else:\n", + " plt.plot(branch[0], branch[1], c=colors[2])\n", + "for branch in unstable:\n", + " plt.plot(branch[0], branch[1], ls=\":\", c=colors[2])\n", + "unstable, stable = utils.get_auto_branches(\"data/auto/even2\")\n", + "for branch in stable:\n", + " plt.plot(branch[0], branch[1], c=colors[2])\n", + "for branch in unstable:\n", + " plt.plot(branch[0], branch[1], ls=\":\", c=colors[2])\n", + "unstable, stable = utils.get_auto_branches(\"data/auto/periodic2\")\n", + "for branch in stable:\n", + " plt.plot(branch[0], branch[1], c=colors[2])\n", + "for branch in unstable:\n", + " plt.plot(branch[0], branch[1], ls=\":\", c=colors[2])\n", + "unstable, stable = utils.get_auto_branches(\"data/auto/odd4\")\n", + "lab = True\n", + "for branch in stable:\n", + " if lab:\n", + " plt.plot(branch[0], branch[1], c=colors[0], label=r\"$\\sigma=0.05$\")\n", + " lab = False\n", + " else:\n", + " plt.plot(branch[0], branch[1], c=colors[0])\n", + "for branch in unstable:\n", + " plt.plot(branch[0], branch[1], ls=\":\", c=colors[0])\n", + "unstable, stable = utils.get_auto_branches(\"data/auto/even4\")\n", + "for branch in stable:\n", + " plt.plot(branch[0], branch[1], c=colors[0])\n", + "for branch in unstable:\n", + " plt.plot(branch[0], branch[1], ls=\":\", c=colors[0])\n", + "unstable, stable = utils.get_auto_branches(\"data/auto/periodic4\")\n", + "for branch in stable:\n", + " plt.plot(branch[0], branch[1], c=colors[0])\n", + "for branch in unstable:\n", + " plt.plot(branch[0], branch[1], ls=\":\", c=colors[0])\n", + "plt.legend()\n", + "plt.xlabel(r\"$\\varepsilon$\")\n", + "plt.ylim(0, 1)\n", + "plt.xlim(-0.5, 1)\n", + "plt.gca().set_xticks([-0.5, 0, 0.5])\n", + "plt.gca().set_yticks([0, 0.2, 0.4, 0.6, 0.8, 1.0])\n", + "plt.gca().set_yticklabels([])\n", + "plt.title(r\"Low-$\\varepsilon$ fits\")\n", + "\n", + "unstable, stable = utils.get_auto_branches(\"data/auto/odd3\")\n", + "plt.subplot(1, 3, 2)\n", + "lab = True\n", + "for branch in stable:\n", + " if lab:\n", + " plt.plot(branch[0], branch[1], c=colors[2], label=r\"$\\sigma=0.01$\")\n", + " lab = False\n", + " else:\n", + " plt.plot(branch[0], branch[1], c=colors[2])\n", + "for branch in unstable:\n", + " plt.plot(branch[0], branch[1], ls=\":\", c=colors[2])\n", + "unstable, stable = utils.get_auto_branches(\"data/auto/even3\")\n", + "for branch in stable:\n", + " plt.plot(branch[0], branch[1], c=colors[2])\n", + "for branch in unstable:\n", + " plt.plot(branch[0], branch[1], ls=\":\", c=colors[2])\n", + "unstable, stable = utils.get_auto_branches(\"data/auto/periodic3\")\n", + "for branch in stable:\n", + " plt.plot(branch[0], branch[1], c=colors[2])\n", + "for branch in unstable:\n", + " plt.plot(branch[0], branch[1], ls=\":\", c=colors[2])\n", + "unstable, stable = utils.get_auto_branches(\"data/auto/odd5\")\n", + "lab = True\n", + "for branch in stable:\n", + " if lab:\n", + " plt.plot(branch[0], branch[1], c=colors[0], label=r\"$\\sigma=0.05$\")\n", + " lab = False\n", + " else:\n", + " plt.plot(branch[0], branch[1], c=colors[0])\n", + "for branch in unstable:\n", + " plt.plot(branch[0], branch[1], ls=\":\", c=colors[0])\n", + "unstable, stable = utils.get_auto_branches(\"data/auto/even5\")\n", + "for branch in stable:\n", + " plt.plot(branch[0], branch[1], c=colors[0])\n", + "for branch in unstable:\n", + " plt.plot(branch[0], branch[1], ls=\":\", c=colors[0])\n", + "unstable, stable = utils.get_auto_branches(\"data/auto/periodic5\")\n", + "for branch in stable:\n", + " plt.plot(branch[0], branch[1], c=colors[0])\n", + "for branch in unstable:\n", + " plt.plot(branch[0], branch[1], ls=\":\", c=colors[0])\n", + "plt.legend()\n", + "\n", + "plt.xlabel(r\"$\\varepsilon$\")\n", + "plt.ylim(0, 1)\n", + "plt.xlim(-0.5, 1)\n", + "plt.gca().set_xticks([-0.5, 0, 0.5])\n", + "plt.gca().set_yticks([0, 0.2, 0.4, 0.6, 0.8, 1.0])\n", + "plt.gca().set_yticklabels([])\n", + "plt.title(r\"High-$\\varepsilon$ fits\")\n", + "\n", + "plt.tight_layout()\n", + "plt.savefig(\"figs7.pdf\")\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": 38, + "id": "89c35c58", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "19673.233389676083\n" + ] + } + ], + "source": [ + "stop0=timeit.default_timer()\n", + "print(stop0-start0)" + ] } ], "metadata": { @@ -2189,7 +2746,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.9.12" + "version": "3.11.3" } }, "nbformat": 4, diff --git a/examples/17_parameterized_pattern_formation/utils.py b/examples/17_parameterized_pattern_formation/utils.py index 55dd3846c..c25778c14 100644 --- a/examples/17_parameterized_pattern_formation/utils.py +++ b/examples/17_parameterized_pattern_formation/utils.py @@ -4,12 +4,11 @@ import matplotlib.pyplot as plt import numpy as np from scipy.integrate import solve_ivp +from scipy.interpolate import interp1d import pysindy as ps from pysindy.utils import lorenz -plt.ion() - integrator_keywords = {} integrator_keywords["rtol"] = 1e-12 integrator_keywords["method"] = "RK45" @@ -39,7 +38,7 @@ def get_lorenz_trajectories(sigmas, rhos, betas, dt): x0_train, args=(sigmas[i], betas[i], rhos[i]), t_eval=t_train, - **integrator_keywords + **integrator_keywords, ).y.T x_trains = x_trains + [x_train] t_trains = t_trains + [t_train] @@ -967,7 +966,7 @@ def oregonator( args=(b,), y0=ut, first_step=dt, - **integrator_keywords + **integrator_keywords, ) if not usol.success: print(usol.message) @@ -983,6 +982,148 @@ def oregonator( return X, Y, Z +def generate_oregonator_trajectories(): + # Generate amplitudes for the main SINDyCP fit + bs = np.linspace(0.88, 0.98, 6) + n = 128 # Number of spatial points in each direction + Nt = 1000 # Number of temporal interpolation points + + spatial_grid = np.zeros((n, n, 2)) + spatial_grid[:, :, 0] = 1.0 / n * np.arange(n)[:, np.newaxis] + spatial_grid[:, :, 1] = 1.0 / n * np.arange(n)[np.newaxis, :] + X0, Y0, Z0 = get_oregonator_ic(2e-1, 0, spatial_grid) + u0 = np.concatenate([X0.ravel(), Y0.ravel(), Z0.ravel()]) + + if not os.path.exists("data/oregonator"): + os.mkdir("data/oregonator") + if not np.all( + [ + os.path.exists("data/oregonator/oregonator_" + str(i) + ".npy") + for i in range(len(bs)) + ] + ): + for j in range(len(bs)): + if not os.path.exists("data/oregonator/oregonator_" + str(j) + ".npy"): + b = bs[j] + print(j, b) + L = 1 / (1 - b) ** 0.5 # Domain size in X and Y directions + spatial_grid = np.zeros((n, n, 2)) + spatial_grid[:, :, 0] = L / n * np.arange(n)[:, np.newaxis] + spatial_grid[:, :, 1] = L / n * np.arange(n)[np.newaxis, :] + t1 = 5e2 / (1 - b) # Domain size in t directions + dt = 5.94804 / 10 + + start = timeit.default_timer() + + X, Y, Z = get_oregonator_trajectory(u0, b, t1, dt, spatial_grid) + + Nt = X.shape[2] // 5 // 10 * 10 + X0 = np.mean(X[:, :, -Nt:], axis=(0, 1, 2)) + Z0 = np.mean(Z[:, :, -Nt:], axis=(0, 1, 2)) + nt = X[:, :, Nt:].shape[2] // 10 * 10 + A = np.mean( + ( + ((X[:, :, Nt:] - X0) / X0 + 1j * (Z[:, :, Nt:] - Z0) / Z0) + * np.exp( + -1j * 2 * np.pi / 10 * np.arange(X[:, :, Nt:].shape[2]) + ) + )[:, :, :nt].reshape(n, n, nt // 10, 10), + axis=3, + ) + + f = interp1d(np.arange(A.shape[2]) / A.shape[2], A, axis=2) + A = f(np.arange(500) / 500) + + np.save("data/oregonator/oregonator_" + str(j), A) + + stop = timeit.default_timer() + print(stop - start) + + # Generate trajectories for Hopf identification + bs = np.concatenate([np.linspace(1.05, 1.1, 6), np.linspace(0.95, 0.99, 5)]) + n = 128 # Numbedr of spatial points in each direction + + b0 = 0.95 + L = 1 / np.abs(1 - b0) ** 0.5 # Domain size in X and Y directions + spatial_grid = np.zeros((n, n, 2)) + spatial_grid[:, :, 0] = L / n * np.arange(n)[:, np.newaxis] + spatial_grid[:, :, 1] = L / n * np.arange(n)[np.newaxis, :] + t1 = 2e1 / np.abs(1 - b0) # Domain size in t directions + dt = 5.94804 / 10 + X0, Y0, Z0 = get_oregonator_ic(2e-1, 0, spatial_grid) + + u0 = np.concatenate([X0.ravel(), Y0.ravel(), Z0.ravel()]) + + if not os.path.exists("data/oregonator"): + os.mkdir("data/oregonator") + if not np.all( + [ + os.path.exists("data/oregonator/oregonator2_" + str(i) + ".npy") + for i in range(len(bs)) + ] + ): + b = b0 + t1 = 2e2 / np.abs(1 - b0) + X0, Y0, Z0 = get_oregonator_ic(2e-1, 0, spatial_grid) + u0 = np.concatenate([X0.ravel(), Y0.ravel(), Z0.ravel()]) + X, Y, Z = get_oregonator_trajectory(u0, b, t1, dt, spatial_grid) + + u0 = np.concatenate( + [X[:, :, -1].ravel(), Y[:, :, -1].ravel(), Z[:, :, -1].ravel()] + ) + t1 = 2e1 / np.abs(1 - b0) + for j in range(len(bs)): + if not os.path.exists("data/oregonator/oregonator2_" + str(j) + ".npy"): + b = bs[j] + print(j, b) + + start = timeit.default_timer() + X, Y, Z = get_oregonator_trajectory(u0, b, t1, dt, spatial_grid) + x = np.array([X, Y, Z]).transpose(1, 2, 3, 0) + + np.save("data/oregonator/oregonator2_" + str(j), x) + stop = timeit.default_timer() + print(stop - start) + + # Generate fine data above the Canard explosion + bs = [0.84, 0.96] + n = 256 # Number of spatial points in each direction + Nt = 200 # Number of temporal interpolation points + + if not os.path.exists("data/oregonator"): + os.mkdir("data/oregonator") + if not np.all( + [ + os.path.exists("data/oregonator/canard_" + str(i) + ".npy") + for i in range(len(bs)) + ] + ): + for j in range(len(bs)): + if not os.path.exists("data/oregonator/canard_" + str(j) + ".npy"): + b = bs[j] + print(j, b) + L = 1 / (1 - b) ** 0.5 # Domain size in X and Y directions + spatial_grid = np.zeros((n, n, 2)) + spatial_grid[:, :, 0] = L / n * np.arange(n)[:, np.newaxis] + spatial_grid[:, :, 1] = L / n * np.arange(n)[np.newaxis, :] + t1 = 2e2 / (1 - b) # Domain size in t directions + dt = 5.94804 + X0, Y0, Z0 = get_oregonator_ic(2e-1, 0, spatial_grid) + u0 = np.concatenate([X0.ravel(), Y0.ravel(), Z0.ravel()]) + + start = timeit.default_timer() + + X, Y, Z = get_oregonator_trajectory(u0, b, t1, dt, spatial_grid) + + x = np.array([X, Y, Z]).transpose(1, 2, 3, 0) + fi = interp1d(np.arange(x.shape[2]), x, axis=2) + x = fi(np.arange(Nt) / (Nt - 1) * (x.shape[2] - 1)) + + np.save("data/oregonator/canard_" + str(j), x) + stop = timeit.default_timer() + print(stop - start) + + def get_homogeneous_oregonator_trajectory(b, t1, dt): """ Generate a trajectory for the homogeneous Oregonator ODEs. @@ -1023,7 +1164,7 @@ def oregonator_homogeneous( args=(b,), y0=ut, first_step=dt, - **integrator_keywords + **integrator_keywords, ) dt = np.diff(usol.t)[-1] ut = usol.y[:, -1] @@ -1033,7 +1174,110 @@ def oregonator_homogeneous( return X, Y, Z -def get_normal_form_parameters(model, bs): +def get_homogeneous_oregonator_trajectory_fit(model, b, t1, dt): + lib = model.feature_library + Xts = np.where( + [ + feat.split(" ")[1] == "X_t" + for feat in lib.get_feature_names(["X", "Y", "mu"]) + ] + )[0] + Yts = np.where( + [ + feat.split(" ")[1] == "Y_t" + for feat in lib.get_feature_names(["X", "Y", "mu"]) + ] + )[0] + Xs = np.where( + [feat.split(" ")[1] == "X" for feat in lib.get_feature_names(["X", "Y", "mu"])] + )[0] + Ys = np.where( + [feat.split(" ")[1] == "Y" for feat in lib.get_feature_names(["X", "Y", "mu"])] + )[0] + XXs = np.where( + [feat.split(" ")[1] == "XX" for feat in lib.get_feature_names(["X", "Y", "mu"])] + )[0] + XYs = np.where( + [feat.split(" ")[1] == "XY" for feat in lib.get_feature_names(["X", "Y", "mu"])] + )[0] + YYs = np.where( + [feat.split(" ")[1] == "YY" for feat in lib.get_feature_names(["X", "Y", "mu"])] + )[0] + XXXs = np.where( + [ + feat.split(" ")[1] == "XXX" + for feat in lib.get_feature_names(["X", "Y", "mu"]) + ] + )[0] + XXYs = np.where( + [ + feat.split(" ")[1] == "XXY" + for feat in lib.get_feature_names(["X", "Y", "mu"]) + ] + )[0] + XYYs = np.where( + [ + feat.split(" ")[1] == "XYY" + for feat in lib.get_feature_names(["X", "Y", "mu"]) + ] + )[0] + YYYs = np.where( + [ + feat.split(" ")[1] == "YYY" + for feat in lib.get_feature_names(["X", "Y", "mu"]) + ] + )[0] + + A = np.zeros((2, 2)) + mu = 1 - b + mus = [1, np.abs(mu) ** 0.5, mu] + A[:, 0] = np.array([1, 0]) - model.optimizer.coef_[:, Xts].dot(mus) + A[:, 1] = np.array([0, 1]) - model.optimizer.coef_[:, Yts].dot(mus) + Ainv = np.linalg.inv(A) + + def cgle_homogeneous(t, u): + X, Y = u + f = ( + model.optimizer.coef_[:, Xs].dot(mus) * X + + model.optimizer.coef_[:, Ys].dot(mus) * Y + + model.optimizer.coef_[:, XXs].dot(mus) * X * X + + model.optimizer.coef_[:, XYs].dot(mus) * X * Y + + model.optimizer.coef_[:, YYs].dot(mus) * Y * Y + + model.optimizer.coef_[:, XXXs].dot(mus) * X * X * X + + model.optimizer.coef_[:, XXYs].dot(mus) * X * X * Y + + model.optimizer.coef_[:, XYYs].dot(mus) * X * Y * Y + + model.optimizer.coef_[:, YYYs].dot(mus) * Y * Y * Y + ) + return Ainv.dot(f) + + nt = int(np.round(t1 / dt)) + t = dt * np.arange(nt) + X = np.zeros((nt)) + Y = np.zeros((nt)) + + u0 = np.array([1, 1]) * 1.1 + ut = u0 + X[0] = ut[0] + Y[0] = ut[1] + dt = t[1] - t[0] / 2 + print("%.3f" % (b), end="\r") + for i in range(len(t) - 1): + usol = solve_ivp( + cgle_homogeneous, + (t[i], t[i + 1]), + y0=ut, + first_step=dt, + **integrator_keywords, + ) + # print(usol.message,end='\r') + dt = np.diff(usol.t)[-1] + ut = usol.y[:, -1] + X[i + 1] = ut[0] + Y[i + 1] = ut[1] + return X, Y + + +def get_normal_form_parameters(model, us, printcoefs=False): """ Calculate the nonlinear transformation to compute the normal form parameters. Parameters: @@ -1055,6 +1299,9 @@ def get_normal_form_parameters(model, bs): for feat in lib.get_feature_names(["X", "Y", "mu"]) ] )[0] + consts = np.where( + [feat.split(" ")[1] == "1" for feat in lib.get_feature_names(["X", "Y", "mu"])] + )[0] Xs = np.where( [feat.split(" ")[1] == "X" for feat in lib.get_feature_names(["X", "Y", "mu"])] )[0] @@ -1094,6 +1341,31 @@ def get_normal_form_parameters(model, bs): for feat in lib.get_feature_names(["X", "Y", "mu"]) ] )[0] + X1s = np.where( + [ + feat.split(" ")[1] == "X_1" + for feat in lib.get_feature_names(["X", "Y", "mu"]) + ] + )[0] + Y1s = np.where( + [ + feat.split(" ")[1] == "Y_1" + for feat in lib.get_feature_names(["X", "Y", "mu"]) + ] + )[0] + X2s = np.where( + [ + feat.split(" ")[1] == "X_2" + for feat in lib.get_feature_names(["X", "Y", "mu"]) + ] + )[0] + Y2s = np.where( + [ + feat.split(" ")[1] == "Y_2" + for feat in lib.get_feature_names(["X", "Y", "mu"]) + ] + )[0] + X11s = np.where( [ feat.split(" ")[1] == "X_11" @@ -1106,20 +1378,145 @@ def get_normal_form_parameters(model, bs): for feat in lib.get_feature_names(["X", "Y", "mu"]) ] )[0] + X12s = np.where( + [ + feat.split(" ")[1] == "X_12" + for feat in lib.get_feature_names(["X", "Y", "mu"]) + ] + )[0] + Y12s = np.where( + [ + feat.split(" ")[1] == "Y_12" + for feat in lib.get_feature_names(["X", "Y", "mu"]) + ] + )[0] + X22s = np.where( + [ + feat.split(" ")[1] == "X_22" + for feat in lib.get_feature_names(["X", "Y", "mu"]) + ] + )[0] + Y22s = np.where( + [ + feat.split(" ")[1] == "Y_22" + for feat in lib.get_feature_names(["X", "Y", "mu"]) + ] + )[0] - mus = (1 - bs)[np.newaxis, :] ** (np.arange(len(Xs))[:, np.newaxis] * 0.5) + if printcoefs: + for i in range(2): + print(r"\dot{%s}&=" % (["X", "Y"][i])) + if len(Xts) > 0: + print( + r"(%.3f+%.3f\sqrt{\lvert\mu\rvert}+%.3f\mu)\dot{X}+(%.3f+%.3f\sqrt{\lvert\mu\rvert}+%.3f\mu)\dot{Y}\nonumber\\" + % tuple( + np.concatenate([opt.coef_[:, Xts][i].T, opt.coef_[:, Yts][i].T]) + ) + ) + print( + r"(%.3f+%.3f\sqrt{\lvert\mu\rvert}+%.3f\mu)+(%.3f+%.3f\sqrt{\lvert\mu\rvert}+%.3f\mu)X+(%.3f+%.3f\sqrt{\lvert\mu\rvert}+%.3f\mu)Y\nonumber\\" + % tuple( + np.concatenate( + [ + opt.coef_[:, consts][i].T, + opt.coef_[:, Xs][i].T, + opt.coef_[:, Ys][i].T, + ] + ) + ) + ) + print( + r"&+(%.3f+%.3f\sqrt{\lvert\mu\rvert}+%.3f\mu)XX+(%.3f+%.3f\sqrt{\lvert\mu\rvert}+%.3f\mu)XY\nonumber\\&+(%.3f+%.3f\sqrt{\lvert\mu\rvert}+%.3f\mu)YY\nonumber\\" + % tuple( + np.concatenate( + [ + opt.coef_[:, XXs][i].T, + opt.coef_[:, XYs][i].T, + opt.coef_[:, YYs][i].T, + ] + ) + ) + ) + print( + r"&+(%.3f+%.3f\sqrt{\lvert\mu\rvert}+%.3f\mu)XXX+(%.3f+%.3f\sqrt{\lvert\mu\rvert}+%.3f\mu)XXY\nonumber\\&+(%.3f+%.3f\sqrt{\lvert\mu\rvert}+%.3f\mu)XYY+(%.3f+%.3f\sqrt{\lvert\mu\rvert}+%.3f\mu)YYY\nonumber\\" + % tuple( + np.concatenate( + [ + opt.coef_[:, XXXs][i].T, + opt.coef_[:, XXYs][i].T, + opt.coef_[:, XYYs][i].T, + opt.coef_[:, YYYs][i].T, + ] + ) + ) + ) + print( + r"&+(%.3f+%.3f\sqrt{\lvert\mu\rvert}+%.3f\mu)X_{x}+(%.3f+%.3f\sqrt{\lvert\mu\rvert}+%.3f\mu)X_{y}\nonumber\\" + % tuple( + np.concatenate([opt.coef_[:, X1s][i].T, opt.coef_[:, X2s][i].T]) + ) + ) + print( + r"&+(%.3f+%.3f\sqrt{\lvert\mu\rvert}+%.3f\mu)Y_{x}+(%.3f+%.3f\sqrt{\lvert\mu\rvert}+%.3f\mu)Y_{y}\nonumber\\" + % tuple( + np.concatenate([opt.coef_[:, Y1s][i].T, opt.coef_[:, Y2s][i].T]) + ) + ) + print( + r"&+(%.3f+%.3f\sqrt{\lvert\mu\rvert}+%.3f\mu)X_{xx}+(%.3f+%.3f\sqrt{\lvert\mu\rvert}+%.3f\mu)X_{xy}\nonumber\\&+(%.3f+%.3f\sqrt{\lvert\mu\rvert}+%.3f\mu)X_{yy}\nonumber\\" + % tuple( + np.concatenate( + [ + opt.coef_[:, X11s][i].T, + opt.coef_[:, X12s][i].T, + opt.coef_[:, X22s][i].T, + ] + ) + ) + ) + print( + r"&+(%.3f+%.3f\sqrt{\lvert\mu\rvert}+%.3f\mu)Y_{xx}+(%.3f+%.3f\sqrt{\lvert\mu\rvert}+%.3f\mu)Y_{xy}\nonumber\\&+(%.3f+%.3f\sqrt{\lvert\mu\rvert}+%.3f\mu)Y_{yy}\\" + % tuple( + np.concatenate( + [ + opt.coef_[:, Y11s][i].T, + opt.coef_[:, Y12s][i].T, + opt.coef_[:, Y22s][i].T, + ] + ) + ) + ) + print() + + if model.feature_library.libraries_[0].include_bias: + mus = np.concatenate( + [ + [np.ones(len(us))], + np.array( + [func(us) for func in model.feature_library.libraries_[0].functions] + ), + ] + ) + else: + mus = np.array( + [func(us) for func in model.feature_library.libraries_[0].functions] + ) - D = np.zeros((len(bs), 2, 2)) + D = np.zeros((len(us), 2, 2)) D[:, :, 0] = mus.T.dot(opt.coef_[:, X11s].T) D[:, :, 1] = mus.T.dot(opt.coef_[:, Y11s].T) - A = np.zeros((len(bs), 2, 2)) - A[:, :, 0] = [1, 0] - (mus.T.dot(opt.coef_[:, Xts].T)) - A[:, :, 1] = [0, 1] - (mus.T.dot(opt.coef_[:, Yts].T)) - - J = np.zeros((len(bs), 2, 2)) - Fxx = np.zeros((len(bs), 2, 2, 2)) - Fxxx = np.zeros((len(bs), 2, 2, 2, 2)) + A = np.zeros((len(us), 2, 2)) + A[:, :, 0] = [1, 0] + A[:, :, 1] = [0, 1] + if len(Xts) > 0: + A[:, :, 0] = A[:, :, 0] - (mus.T.dot(opt.coef_[:, Xts].T)) + if len(Yts) > 0: + A[:, :, 1] = A[:, :, 1] - (mus.T.dot(opt.coef_[:, Yts].T)) + + J = np.zeros((len(us), 2, 2)) + Fxx = np.zeros((len(us), 2, 2, 2)) + Fxxx = np.zeros((len(us), 2, 2, 2, 2)) J[:, :, 0] = mus.T.dot(opt.coef_[:, Xs].T) J[:, :, 1] = mus.T.dot(opt.coef_[:, Ys].T) Fxx[:, :, 0, 0] = (mus.T.dot(opt.coef_[:, XXs].T)) * 2 @@ -1181,6 +1578,55 @@ def get_normal_form_parameters(model, bs): return -np.imag(alphas) / np.real(alphas), np.imag(betas) / np.real(betas) +def get_linear_eigenvalues(model, bs, printcoefs=False): + """ + Calculate the nonlinear transformation to compute the normal form parameters. + Parameters: + model: A fit SINDy model for the Oregonator model with a ParameterizedLibrary. + bs: Values of the b parameter to calculate the normal-form parameters + """ + lib = model.feature_library + opt = model.optimizer + + Xs = np.where( + [feat.split(" ")[1] == "X" for feat in lib.get_feature_names(["X", "Z", "mu"])] + )[0] + Zs = np.where( + [feat.split(" ")[1] == "Z" for feat in lib.get_feature_names(["X", "Z", "mu"])] + )[0] + if printcoefs: + print( + r"(%.3f+%.3f\mu)\tilde{X}+(%.3f+%.3f\mu)\tilde{Z}" + % tuple(np.concatenate([opt.coef_[:, Xs][0].T, opt.coef_[:, Zs][0].T])) + ) + print( + r"(%.3f+%.3f\mu)\tilde{X}+(%.3f+%.3f\mu)\tilde{Z}" + % tuple(np.concatenate([opt.coef_[:, Xs][1].T, opt.coef_[:, Zs][1].T])) + ) + + if model.feature_library.libraries_[0].include_bias: + mus = np.concatenate( + [ + [np.ones(len(bs))], + np.array( + [func(bs) for func in model.feature_library.libraries_[0].functions] + ), + ] + ) + else: + mus = np.array( + [func(bs) for func in model.feature_library.libraries_[0].functions] + ) + + J = np.zeros((len(bs), 2, 2), dtype=np.complex128) + J[:, :, 0] = mus.T.dot(opt.coef_[:, Xs].T) + J[:, :, 1] = mus.T.dot(opt.coef_[:, Zs].T) + + lambdas, Us = np.linalg.eig(J) + + return lambdas, J + + def animate_oregonator(): """ Save an animation for the oregonator model @@ -1363,3 +1809,356 @@ def sh(t, u, r, b3, b5): us[n] = u return np.transpose(us)[:, :, np.newaxis] + + +def get_sh_coefficients(model, print_coeffs=False): + opt = model.optimizer + uxxcoeff_fit = np.array( + [ + opt.coef_[ + 0, np.where(np.array(model.get_feature_names()) == "1 u_11")[0][0] + ], + opt.coef_[ + 0, np.where(np.array(model.get_feature_names()) == "epsilon u_11")[0][0] + ], + opt.coef_[ + 0, + np.where(np.array(model.get_feature_names()) == "epsilon^2 u_11")[0][0], + ], + ] + ) + uxxxxcoeff_fit = np.array( + [ + opt.coef_[ + 0, np.where(np.array(model.get_feature_names()) == "1 u_1111")[0][0] + ], + opt.coef_[ + 0, + np.where(np.array(model.get_feature_names()) == "epsilon u_1111")[0][0], + ], + opt.coef_[ + 0, + np.where(np.array(model.get_feature_names()) == "epsilon^2 u_1111")[0][ + 0 + ], + ], + ] + ) + + def uxx_func_fit(epsilons): + epsilons = np.asarray(epsilons) + return np.sum( + uxxcoeff_fit[np.newaxis, :] + * epsilons[:, np.newaxis] ** np.arange(len(uxxcoeff_fit))[np.newaxis, :], + axis=1, + ) + + def uxxxx_func_fit(epsilons): + epsilons = np.asarray(epsilons) + return np.sum( + uxxxxcoeff_fit[np.newaxis, :] + * epsilons[:, np.newaxis] ** np.arange(len(uxxxxcoeff_fit))[np.newaxis, :], + axis=1, + ) + + rcoeff_fit = np.array( + [ + opt.coef_[0, np.where(np.array(model.get_feature_names()) == "1 u")[0][0]] + + 1, + opt.coef_[ + 0, np.where(np.array(model.get_feature_names()) == "epsilon u")[0][0] + ], + opt.coef_[ + 0, np.where(np.array(model.get_feature_names()) == "epsilon^2 u")[0][0] + ], + ] + ) + b3coeff_fit = np.array( + [ + opt.coef_[ + 0, np.where(np.array(model.get_feature_names()) == "1 uuu")[0][0] + ], + opt.coef_[ + 0, np.where(np.array(model.get_feature_names()) == "epsilon uuu")[0][0] + ], + opt.coef_[ + 0, + np.where(np.array(model.get_feature_names()) == "epsilon^2 uuu")[0][0], + ], + ] + ) + b5coeff_fit = np.array( + [ + -opt.coef_[ + 0, np.where(np.array(model.get_feature_names()) == "1 uuuuu")[0][0] + ], + -opt.coef_[ + 0, + np.where(np.array(model.get_feature_names()) == "epsilon uuuuu")[0][0], + ], + -opt.coef_[ + 0, + np.where(np.array(model.get_feature_names()) == "epsilon^2 uuuuu")[0][ + 0 + ], + ], + ] + ) + + def r_func_fit(epsilons): + epsilons = np.asarray(epsilons) + return np.sum( + rcoeff_fit[np.newaxis, :] + * epsilons[:, np.newaxis] ** np.arange(len(rcoeff_fit))[np.newaxis, :], + axis=1, + ) + + def b3_func_fit(epsilons): + epsilons = np.asarray(epsilons) + return np.sum( + b3coeff_fit[np.newaxis, :] + * epsilons[:, np.newaxis] ** np.arange(len(b3coeff_fit))[np.newaxis, :], + axis=1, + ) + + def b5_func_fit(epsilons): + epsilons = np.asarray(epsilons) + return np.sum( + b5coeff_fit[np.newaxis, :] + * epsilons[:, np.newaxis] ** np.arange(len(b5coeff_fit))[np.newaxis, :], + axis=1, + ) + + if print_coeffs: + print( + "D2=(%.3f+%.3f*E+%.3f*E*E)/(%.3f+%.3f*E+%.3f*E*E)" + % tuple(np.concatenate([uxxcoeff_fit, -uxxxxcoeff_fit])) + ) + print( + "U1=(-1.000+%.3f+%.3f*E+%.3f*E*E)/(%.3f+%.3f*E+%.3f*E*E)" + % tuple(np.concatenate([rcoeff_fit, -uxxxxcoeff_fit])) + ) + print( + "U3=(%.3f+%.3f*E+%.3f*E*E)/(%.3f+%.3f*E+%.3f*E*E)" + % tuple(np.concatenate([b3coeff_fit, -uxxxxcoeff_fit])) + ) + print( + "U5=-(%.3f+%.3f*E+%.3f*E*E)/(%.3f+%.3f*E+%.3f*E*E)" + % tuple(np.concatenate([b5coeff_fit, -uxxxxcoeff_fit])) + ) + + print( + r"(%.3f+%.3f\varepsilon+%.3f\varepsilon^2)u_{xx}\nonumber\\" + % tuple(uxxcoeff_fit) + ) + print( + r"&+(%.3f+%.3f\varepsilon+%.3f\varepsilon^2)u_{xxxx}\nonumber\\" + % tuple(uxxxxcoeff_fit) + ) + print( + r"&+(-1.000+%.3f+%.3f\varepsilon+%.3f\varepsilon^2)u\nonumber\\" + % tuple(rcoeff_fit) + ) + print( + r"&+(%.3f+%.3f\varepsilon+%.3f\varepsilon^2)u^3\nonumber\\" + % tuple(b3coeff_fit) + ) + print( + r"&-(%.3f+%.3f\varepsilon+%.3f\varepsilon^2)u^5\nonumber\\" + % tuple(b5coeff_fit) + ) + + return r_func_fit, b3_func_fit, b5_func_fit, uxx_func_fit, uxxxx_func_fit + + +def get_single_normal_form_parameters(model, printcoefs=False): + """ + Calculate the nonlinear transformation to compute the normal form parameters. + Parameters: + model: A fit SINDy model for the Oregonator model with a ParameterizedLibrary. + bs: Values of the b parameter to calculate the normal-form parameters + """ + opt = model.optimizer + + Xs = np.where(np.array(model.feature_library.get_feature_names(["X", "Y"])) == "X")[ + 0 + ][0] + Ys = np.where(np.array(model.feature_library.get_feature_names(["X", "Y"])) == "Y")[ + 0 + ][0] + XXs = np.where( + np.array(model.feature_library.get_feature_names(["X", "Y"])) == "XX" + )[0][0] + XYs = np.where( + np.array(model.feature_library.get_feature_names(["X", "Y"])) == "XY" + )[0][0] + YYs = np.where( + np.array(model.feature_library.get_feature_names(["X", "Y"])) == "YY" + )[0][0] + XXXs = np.where( + np.array(model.feature_library.get_feature_names(["X", "Y"])) == "XXX" + )[0][0] + XXYs = np.where( + np.array(model.feature_library.get_feature_names(["X", "Y"])) == "XXY" + )[0][0] + XYYs = np.where( + np.array(model.feature_library.get_feature_names(["X", "Y"])) == "XYY" + )[0][0] + YYYs = np.where( + np.array(model.feature_library.get_feature_names(["X", "Y"])) == "YYY" + )[0][0] + X1s = np.where( + np.array(model.feature_library.get_feature_names(["X", "Y"])) == "X_1" + )[0][0] + Y1s = np.where( + np.array(model.feature_library.get_feature_names(["X", "Y"])) == "Y_1" + )[0][0] + X2s = np.where( + np.array(model.feature_library.get_feature_names(["X", "Y"])) == "X_2" + )[0][0] + Y2s = np.where( + np.array(model.feature_library.get_feature_names(["X", "Y"])) == "Y_2" + )[0][0] + X11s = np.where( + np.array(model.feature_library.get_feature_names(["X", "Y"])) == "X_11" + )[0][0] + X12s = np.where( + np.array(model.feature_library.get_feature_names(["X", "Y"])) == "X_12" + )[0][0] + X22s = np.where( + np.array(model.feature_library.get_feature_names(["X", "Y"])) == "X_22" + )[0][0] + Y11s = np.where( + np.array(model.feature_library.get_feature_names(["X", "Y"])) == "Y_11" + )[0][0] + Y12s = np.where( + np.array(model.feature_library.get_feature_names(["X", "Y"])) == "Y_12" + )[0][0] + Y22s = np.where( + np.array(model.feature_library.get_feature_names(["X", "Y"])) == "Y_22" + )[0][0] + + if printcoefs: + for i in range(2): + print(r"\dot{%s}&=" % (["X", "Y"][i])) + print( + r"%.3fX+%.3fY\nonumber\\" + % tuple([opt.coef_[:, Xs][i].T, opt.coef_[:, Ys][i].T]) + ) + print( + r"%.3fXX+%.3fXY+%.3fYY\nonumber\\" + % tuple( + [ + opt.coef_[:, XXs][i].T, + opt.coef_[:, XYs][i].T, + opt.coef_[:, YYs][i].T, + ] + ) + ) + print( + r"%.3fXXX+%.3fXXY+%.3fXYY+%.3fYYY\nonumber\\" + % tuple( + [ + opt.coef_[:, XXXs][i].T, + opt.coef_[:, XXYs][i].T, + opt.coef_[:, XYYs][i].T, + opt.coef_[:, YYYs][i].T, + ] + ) + ) + print( + r"%.3fX_{x}+%.3fX_{y}+%.3fY_{x}+%.3fY_{y}\nonumber\\" + % tuple( + [ + opt.coef_[:, X1s][i].T, + opt.coef_[:, X2s][i].T, + opt.coef_[:, Y1s][i].T, + opt.coef_[:, Y2s][i].T, + ] + ) + ) + print( + r"%.3fX_{xx}+%.3fX_{xy}+%.3fX_{yy}+%.3fY_{xx}+%.3fY_{xy}+%.3fY_{yy}\nonumber\\" + % tuple( + [ + opt.coef_[:, X11s][i].T, + opt.coef_[:, X12s][i].T, + opt.coef_[:, X22s][i].T, + opt.coef_[:, Y11s][i].T, + opt.coef_[:, Y12s][i].T, + opt.coef_[:, Y22s][i].T, + ] + ) + ) + print() + + D = np.zeros((2, 2)) + D[:, 0] = opt.coef_[:, X11s] + D[:, 1] = opt.coef_[:, Y11s] + + J = np.zeros((2, 2)) + Fxx = np.zeros((2, 2, 2)) + Fxxx = np.zeros((2, 2, 2, 2)) + J[:, 0] = opt.coef_[:, Xs] + J[:, 1] = opt.coef_[:, Ys] + Fxx[:, 0, 0] = opt.coef_[:, XXs] * 2 + Fxx[:, 0, 1] = opt.coef_[:, XYs] + Fxx[:, 1, 0] = opt.coef_[:, XYs] + Fxx[:, 1, 1] = opt.coef_[:, YYs] * 2 + Fxxx[:, 0, 0, 0] = opt.coef_[:, XXXs] * 6 + Fxxx[:, 0, 0, 1] = opt.coef_[:, XXYs] * 2 + Fxxx[:, 0, 1, 0] = opt.coef_[:, XXYs] * 2 + Fxxx[:, 1, 0, 0] = opt.coef_[:, XXYs] * 2 + Fxxx[:, 0, 1, 1] = opt.coef_[:, XYYs] * 2 + Fxxx[:, 1, 0, 1] = opt.coef_[:, XYYs] * 2 + Fxxx[:, 1, 1, 0] = opt.coef_[:, XYYs] * 2 + Fxxx[:, 1, 1, 1] = opt.coef_[:, YYYs] * 6 + + lambdas, Us = np.linalg.eig(J) + + u = Us[:, 0] + ubar = np.conjugate(u) + ut = np.linalg.inv(Us)[0, :] + a = np.einsum( + "i,ijk,j,kl,lmo,m,o", + ut, + Fxx, + u, + np.linalg.inv(J), + Fxx, + u, + ubar, + ) + b = ( + np.einsum( + "i,ijk,j,kl,lmo,m,o", + ut, + Fxx, + ubar, + np.linalg.inv(J - ((lambdas[0] - lambdas[1]) * np.eye(2))), + Fxx, + u, + u, + ) + / 2 + ) + c = np.einsum("i,ijkl,j,k,l", ut, Fxxx, u, u, ubar) / 2 + alphas = a + b - c + betas = np.einsum("i,ik,k", ut, D, u) + + return -np.imag(alphas) / np.real(alphas), np.imag(betas) / np.real(betas) + + +def get_auto_branches(filebase): + i = 0 + unstable = [] + while os.path.exists(filebase + "/unstable_" + str(i) + ".npy"): + unstable.append(np.load(filebase + "/unstable_" + str(i) + ".npy")) + i = i + 1 + + i = 0 + stable = [] + while os.path.exists(filebase + "/stable_" + str(i) + ".npy"): + stable.append(np.load(filebase + "/stable_" + str(i) + ".npy")) + i = i + 1 + return unstable, stable diff --git a/examples/18_linear_stable_models/StateSpaceModel.ipynb b/examples/18_linear_stable_models/StateSpaceModel.ipynb index 42c35c983..207730771 100644 --- a/examples/18_linear_stable_models/StateSpaceModel.ipynb +++ b/examples/18_linear_stable_models/StateSpaceModel.ipynb @@ -12,7 +12,9 @@ "stable (even if there is substantial experimental noise), we need to constrain\n", "the $\\mathbf A$ matrix to be negative definite (note that if $\\mathbf u = \\mathbf K \\mathbf x$ as in a Kalman filter, we only need the weaker condition that $\\mathbf A + \\mathbf{B}\\mathbf K$ is negative definite). \n", "\n", - "The optimization problem solved for provably stable linear models is described further in example7_reboot.ipynb in this same folder. " + "The optimization problem solved for provably stable linear models is described further in example7_reboot.ipynb in this same folder. \n", + "\n", + "[![Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/dynamicslab/pysindy/v1.7.3?filepath=examples/18_linear_stable_models/StateSpaceModel.ipynb)" ] }, { diff --git a/examples/18_linear_stable_models/example7_reboot.ipynb b/examples/18_linear_stable_models/example7_reboot.ipynb index 2fad8c882..a55e1699f 100644 --- a/examples/18_linear_stable_models/example7_reboot.ipynb +++ b/examples/18_linear_stable_models/example7_reboot.ipynb @@ -17,7 +17,9 @@ "$$ \\mathbf C\\mathbf A = \\mathbf d, \\quad \\mathbf D\\mathbf A \\leq \\mathbf e, \\quad \\lambda_\\text{max}(\\mathbf W) < 0.$$\n", "This is a convenient optimization problem that can be solved for variable projection. First solve the optimization for $\\mathbf{A}$ at fixed $\\mathbf{W}$ (this part, including with the constraints on $\\mathbf{A}$, is convex, so we can plug it right into CVXPY) and then for $\\mathbf{W}$ at fixed $\\mathbf{A}$, and repeat until convergence. For the $\\mathbf{W}$ solve, we use the same trick as the TrappingSR3 optimizer -- $\\mathbf{W}$ is a projection of $\\mathbf{A}$ onto the space of negative definite matrices.\n", "\n", - "In this example, we revisit the data from the Jupyter notebook Example 7 in order to build a stable 20-dimensional linear model, which performs quite well. " + "In this example, we revisit the data from the Jupyter notebook Example 7 in order to build a stable 20-dimensional linear model, which performs quite well. \n", + "\n", + "[![Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/dynamicslab/pysindy/v1.7.3?filepath=examples/18_linear_stable_models/example7_reboot.ipynb)" ] }, { diff --git a/examples/18_linear_stable_models/viscoelastic_pod_models.ipynb b/examples/18_linear_stable_models/viscoelastic_pod_models.ipynb index 7c0d07500..61af1cc21 100644 --- a/examples/18_linear_stable_models/viscoelastic_pod_models.ipynb +++ b/examples/18_linear_stable_models/viscoelastic_pod_models.ipynb @@ -5,7 +5,9 @@ "metadata": {}, "source": [ "### SINDy-POD models for viscoelastic flows\n", - "Viscoelastic flows couple Navier-Stokes with a set of more complicated PDEs. Here we demonstrate that SINDy can generate high-dimensional, stable linear models for the evolution of the proper orthogonal modes obtained from fluid data." + "Viscoelastic flows couple Navier-Stokes with a set of more complicated PDEs. Here we demonstrate that SINDy can generate high-dimensional, stable linear models for the evolution of the proper orthogonal modes obtained from fluid data.\n", + "\n", + "[![Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/dynamicslab/pysindy/v1.7.3?filepath=examples/18_linear_stable_models/viscoelastic_pod_models.ipynb)" ] }, { diff --git a/examples/19_bayesian_sindy/example.ipynb b/examples/19_bayesian_sindy/example.ipynb new file mode 100644 index 000000000..2c7f4c999 --- /dev/null +++ b/examples/19_bayesian_sindy/example.ipynb @@ -0,0 +1,1312 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "id": "66147662", + "metadata": { + "execution": { + "iopub.execute_input": "2024-02-13T10:43:46.981734Z", + "iopub.status.busy": "2024-02-13T10:43:46.981433Z", + "iopub.status.idle": "2024-02-13T10:43:46.988474Z", + "shell.execute_reply": "2024-02-13T10:43:46.987754Z" + } + }, + "source": [ + "\n", + "# Bayesian UQ-SINDy" + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "id": "8a4eaa99", + "metadata": { + "execution": { + "iopub.execute_input": "2024-02-13T10:43:46.991749Z", + "iopub.status.busy": "2024-02-13T10:43:46.991446Z", + "iopub.status.idle": "2024-02-13T10:43:47.958007Z", + "shell.execute_reply": "2024-02-13T10:43:47.957425Z" + }, + "lines_to_next_cell": 2 + }, + "outputs": [], + "source": [ + "import numpy as np\n", + "import matplotlib.pyplot as plt\n", + "\n", + "from scipy.integrate import solve_ivp\n", + "\n", + "import pysindy as ps" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "id": "db6ef7bb", + "metadata": {}, + "outputs": [], + "source": [ + "# set seed for reproducibility\n", + "np.random.seed(987)" + ] + }, + { + "cell_type": "markdown", + "id": "90195455", + "metadata": { + "execution": { + "iopub.execute_input": "2024-02-13T10:43:47.960091Z", + "iopub.status.busy": "2024-02-13T10:43:47.959875Z", + "iopub.status.idle": "2024-02-13T10:43:47.962486Z", + "shell.execute_reply": "2024-02-13T10:43:47.962125Z" + } + }, + "source": [ + "### Lotka-Volterra Predator-Prey Model\n", + "\n", + "In this example, we generate the data using the Lotka-Volterra equations, which is a simplified model of Predator-Prey interactions. They specify a system of Ordinary Differential Equations (ODEs):\n", + "\\begin{align}\n", + "\\frac{dP}{dt} &= a P - b P Q\\\\\n", + "\\frac{dQ}{dt} &= c P Q - d Q\n", + "\\end{align}\n", + "where $P$ is the concentration of prey, $Q$ is the concentration of predators, $a$ is the birth rate of prey, $b$ is the death rate of prey, $c$ is the birth rate of predators and $d$ is the death rate of predators.\n", + "\n", + "For more details, see e.g. Rockwood L. L. and Witt J. W. (2015). *Introduction to population ecology*. Wiley Blackwell, Chichester, West Sussex, UK, 2nd edition" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "id": "deb1179f", + "metadata": { + "execution": { + "iopub.execute_input": "2024-02-13T10:43:47.964196Z", + "iopub.status.busy": "2024-02-13T10:43:47.964066Z", + "iopub.status.idle": "2024-02-13T10:43:47.966975Z", + "shell.execute_reply": "2024-02-13T10:43:47.966594Z" + }, + "lines_to_next_cell": 2 + }, + "outputs": [], + "source": [ + "# set up a class that defines the Lotka-Volterra equations\n", + "class PredatorPreyModel:\n", + " def __init__(self, a=1.0, b=0.3, c=0.2, d=1.0):\n", + " # internalise the model parameters.\n", + " self.a = a\n", + " self.b = b\n", + " self.c = c\n", + " self.d = d\n", + "\n", + " def dydx(self, t, y):\n", + " # Lotka-Volterra Model model, see e.g. https://en.wikipedia.org/wiki/Lotka%E2%80%93Volterra_equations.}\n", + " return np.array([self.a*y[0] - self.b*y[0]*y[1], self.c*y[0]*y[1] - self.d*y[1]])\n", + "\n", + " def solve(self, **kwargs):\n", + " # solve the system of ODEs.\n", + " return solve_ivp(self.dydx, **kwargs)" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "id": "b4fbe7b1", + "metadata": { + "execution": { + "iopub.execute_input": "2024-02-13T10:43:47.968532Z", + "iopub.status.busy": "2024-02-13T10:43:47.968368Z", + "iopub.status.idle": "2024-02-13T10:43:47.981687Z", + "shell.execute_reply": "2024-02-13T10:43:47.981311Z" + }, + "lines_to_next_cell": 2 + }, + "outputs": [], + "source": [ + "# set some hyperparameters.\n", + "t_span = [0, 30]\n", + "y0 = np.array([10,5])\n", + "max_step = 0.1\n", + "\n", + "# initialise the model and solve.\n", + "my_model = PredatorPreyModel()\n", + "sol = my_model.solve(t_span=t_span, y0=y0, max_step=max_step)" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "id": "ce7e5b12", + "metadata": { + "execution": { + "iopub.execute_input": "2024-02-13T10:43:47.983336Z", + "iopub.status.busy": "2024-02-13T10:43:47.983158Z", + "iopub.status.idle": "2024-02-13T10:43:47.986060Z", + "shell.execute_reply": "2024-02-13T10:43:47.985678Z" + }, + "lines_to_next_cell": 2 + }, + "outputs": [], + "source": [ + "# the noise level.\n", + "noise = 0.1\n", + "\n", + "# extract the timesteps and perturb the solution with noise.\n", + "t = sol.t\n", + "P = sol.y[0,:] + np.random.normal(scale=noise, size=sol.t.size)\n", + "Q = sol.y[1,:] + np.random.normal(scale=noise, size=sol.t.size)" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "id": "98878b60", + "metadata": { + "execution": { + "iopub.execute_input": "2024-02-13T10:43:47.987584Z", + "iopub.status.busy": "2024-02-13T10:43:47.987343Z", + "iopub.status.idle": "2024-02-13T10:43:48.077023Z", + "shell.execute_reply": "2024-02-13T10:43:48.076535Z" + } + }, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# plot the solution.\n", + "plt.figure(figsize=(12,4))\n", + "plt.plot(sol.t, sol.y[0,:], label = \"Prey\")\n", + "plt.scatter(t, P)\n", + "plt.plot(sol.t, sol.y[1,:], label=\"Predators\")\n", + "plt.scatter(t, Q)\n", + "plt.legend()\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "id": "777f812e", + "metadata": {}, + "source": [ + "### Bayesian UQ-SINDy\n", + "\n", + "Here we recover the governing equations using UQ-SINDy. For more details on the theory of the method, see Hirsh, S. M., Barajas-Solano, D. A., & Kutz, J. N. (2021). *Sparsifying Priors for Bayesian Uncertainty Quantification in Model Discovery* (arXiv:2107.02107). arXiv. http://arxiv.org/abs/2107.02107\n", + "\n", + "Note that the current implementation differs from the method described in Hirsh et al. (2021) by imposing the error model directly on the derivatives, rather than on the states, circumventing the need to integrate the equation to evaluate the posterior density. One consequence of this is that the noise standard deviation \"sigma\" is with respect to the derivatives instead of the states and hence should not be interpreted.\n", + "\n", + "The underlying code used to find the posterior distribution of model parameters is `numpyro.infer.MCMC` using the `numpyro.infer.NUTS` kernel. Note that all keyword arguments passed to `pysindy.optimizers.SBR` are sent forward to the [MCMC sampler](https://num.pyro.ai/en/stable/mcmc.html)." + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "id": "6fc7212b", + "metadata": { + "execution": { + "iopub.execute_input": "2024-02-13T10:43:48.079213Z", + "iopub.status.busy": "2024-02-13T10:43:48.078876Z", + "iopub.status.idle": "2024-02-13T10:43:48.081797Z", + "shell.execute_reply": "2024-02-13T10:43:48.081382Z" + }, + "lines_to_next_cell": 2 + }, + "outputs": [], + "source": [ + "# set sampler hyperparameters\n", + "sampling_seed = 123\n", + "\n", + "if __name__ == \"testing\":\n", + " num_warmup = 10\n", + " num_samples = 100\n", + " num_chains = 1\n", + "else:\n", + " num_warmup = 500\n", + " num_samples = 2000\n", + " num_chains = 2" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "id": "1d5a5a55", + "metadata": { + "execution": { + "iopub.execute_input": "2024-02-13T10:43:48.084280Z", + "iopub.status.busy": "2024-02-13T10:43:48.084040Z", + "iopub.status.idle": "2024-02-13T10:43:54.136884Z", + "shell.execute_reply": "2024-02-13T10:43:54.136436Z" + }, + "lines_to_next_cell": 2 + }, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "sample: 100%|███████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 2500/2500 [00:02<00:00, 882.55it/s, 63 steps of size 3.62e-02. acc. prob=0.91]\n", + "sample: 100%|██████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 2500/2500 [00:01<00:00, 1556.08it/s, 63 steps of size 4.94e-02. acc. prob=0.88]\n" + ] + }, + { + "data": { + "text/html": [ + "
SINDy(differentiation_method=FiniteDifference(),\n",
+       "      feature_library=PolynomialLibrary(), feature_names=['P', 'Q'],\n",
+       "      optimizer=SBR(mcmc_kwargs={'num_chains': 2, 'seed': 123},\n",
+       "                    num_samples=2000, num_warmup=500))
In a Jupyter environment, please rerun this cell to show the HTML representation or trust the notebook.
On GitHub, the HTML representation is unable to render, please try loading this page with nbviewer.org.
" + ], + "text/plain": [ + "SINDy(differentiation_method=FiniteDifference(),\n", + " feature_library=PolynomialLibrary(), feature_names=['P', 'Q'],\n", + " optimizer=SBR(mcmc_kwargs={'num_chains': 2, 'seed': 123},\n", + " num_samples=2000, num_warmup=500))" + ] + }, + "execution_count": 8, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# initialise the Sparse bayesian Regression optimizer.\n", + "optimizer = ps.optimizers.SBR(num_warmup=num_warmup,\n", + " num_samples=num_samples,\n", + " mcmc_kwargs={\"seed\": sampling_seed,\n", + " \"num_chains\": num_chains})\n", + "\n", + "# use the standard polynomial features.\n", + "feature_library = ps.feature_library.polynomial_library.PolynomialLibrary(include_interaction=True)\n", + "\n", + "# initialise SINDy and fit to the data.\n", + "sindy = ps.SINDy(optimizer, feature_library, feature_names=['P', 'Q'])\n", + "sindy.fit(np.c_[P, Q], t=t)" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "id": "87c4b1b3", + "metadata": { + "execution": { + "iopub.execute_input": "2024-02-13T10:43:54.139656Z", + "iopub.status.busy": "2024-02-13T10:43:54.139409Z", + "iopub.status.idle": "2024-02-13T10:43:55.185184Z", + "shell.execute_reply": "2024-02-13T10:43:55.184468Z" + }, + "lines_to_next_cell": 2 + }, + "outputs": [], + "source": [ + "# set up a new differential equation that uses the Bayesian SINDy predictions.\n", + "def surrogate_dydt(t, y):\n", + " _y = y[np.newaxis,:]\n", + " return sindy.predict(x=_y)\n", + "\n", + "# solve using the Bayesian SINDy equations.\n", + "surrogate_sol = solve_ivp(surrogate_dydt, t_span=t_span, y0=y0, max_step=max_step)" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "id": "65849413", + "metadata": { + "execution": { + "iopub.execute_input": "2024-02-13T10:43:55.187631Z", + "iopub.status.busy": "2024-02-13T10:43:55.187517Z", + "iopub.status.idle": "2024-02-13T10:43:55.267135Z", + "shell.execute_reply": "2024-02-13T10:43:55.266675Z" + } + }, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# plot the surrogate solution.\n", + "plt.figure(figsize=(12,4))\n", + "\n", + "plt.plot(surrogate_sol.t, surrogate_sol.y[0,:], label = \"Prey\")\n", + "plt.scatter(t, P)\n", + "\n", + "plt.plot(surrogate_sol.t, surrogate_sol.y[1,:], label=\"Predators\")\n", + "plt.scatter(t, Q)\n", + "\n", + "plt.legend()\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "id": "2574276f", + "metadata": {}, + "source": [ + "### Get MCMC diagnostics\n", + "\n", + "We can inspect the posterior samples in more detail using `arviz`. Note that this is not included as a dependency of `pysindy` and must be installed separately." + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "id": "21a81ad6", + "metadata": { + "execution": { + "iopub.execute_input": "2024-02-13T10:43:55.269561Z", + "iopub.status.busy": "2024-02-13T10:43:55.269383Z", + "iopub.status.idle": "2024-02-13T10:43:55.315724Z", + "shell.execute_reply": "2024-02-13T10:43:55.315231Z" + }, + "lines_to_next_cell": 2 + }, + "outputs": [], + "source": [ + "# import arviz.\n", + "import arviz as az" + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "id": "12ffa391", + "metadata": { + "execution": { + "iopub.execute_input": "2024-02-13T10:43:55.317985Z", + "iopub.status.busy": "2024-02-13T10:43:55.317854Z", + "iopub.status.idle": "2024-02-13T10:43:56.052257Z", + "shell.execute_reply": "2024-02-13T10:43:56.051711Z" + }, + "lines_to_next_cell": 2 + }, + "outputs": [ + { + "data": { + "text/html": [ + "
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meansdhdi_3%hdi_97%mcse_meanmcse_sdess_bulkess_tailr_hat
beta[0, 0]0.0130.087-0.1360.2180.0030.0021446.01099.01.0
beta[0, 1]0.9880.0440.9051.0750.0010.0011361.01500.01.0
beta[0, 2]0.0060.036-0.0600.0830.0010.0011468.01217.01.0
beta[0, 3]-0.0010.004-0.0100.0070.0000.0001327.01372.01.0
beta[0, 4]-0.2960.008-0.311-0.2810.0000.0002196.02365.01.0
beta[0, 5]-0.0030.007-0.0160.0090.0000.0001452.01313.01.0
beta[1, 0]0.0050.104-0.1980.2180.0030.0021208.01029.01.0
beta[1, 1]0.0040.032-0.0600.0710.0010.0011908.01612.01.0
beta[1, 2]-1.0180.065-1.145-0.9000.0020.0011491.01391.01.0
beta[1, 3]0.0000.004-0.0060.0070.0000.0002073.01916.01.0
beta[1, 4]0.1970.0080.1820.2130.0000.0003131.02822.01.0
beta[1, 5]0.0050.009-0.0120.0240.0000.0001725.01779.01.0
c_sq7.39915.5950.70617.8350.4200.2972372.01559.01.0
lambda[0, 0]1.4863.9080.0114.0600.1000.0711288.01643.01.0
lambda[0, 1]60.751418.5801.177117.11715.76311.1501150.01432.01.0
lambda[0, 2]0.9682.5490.0052.6560.0590.0421683.01618.01.0
lambda[0, 3]0.4591.0570.0011.4960.0210.0151762.01359.01.0
lambda[0, 4]8.94140.8490.49918.7981.0840.7671221.01528.01.0
lambda[0, 5]0.5060.9220.0021.5500.0170.0122300.01339.01.0
lambda[1, 0]2.34613.6570.0104.7290.4440.3141185.01052.01.0
lambda[1, 1]0.9212.2500.0042.6340.0410.0291737.01487.01.0
lambda[1, 2]45.249174.9980.876111.6184.7583.3651416.01621.01.0
lambda[1, 3]0.5042.6170.0011.3840.0680.0481804.01330.01.0
lambda[1, 4]6.28524.9400.31114.4170.7520.5321218.01386.01.0
lambda[1, 5]0.6773.3690.0031.7920.0540.0382035.02015.01.0
sigma0.7730.0220.7340.8170.0000.0002770.02315.01.0
tau0.0840.0570.0090.1860.0020.001955.01537.01.0
\n", + "
" + ], + "text/plain": [ + " mean sd hdi_3% hdi_97% mcse_mean mcse_sd ess_bulk \\\n", + "beta[0, 0] 0.013 0.087 -0.136 0.218 0.003 0.002 1446.0 \n", + "beta[0, 1] 0.988 0.044 0.905 1.075 0.001 0.001 1361.0 \n", + "beta[0, 2] 0.006 0.036 -0.060 0.083 0.001 0.001 1468.0 \n", + "beta[0, 3] -0.001 0.004 -0.010 0.007 0.000 0.000 1327.0 \n", + "beta[0, 4] -0.296 0.008 -0.311 -0.281 0.000 0.000 2196.0 \n", + "beta[0, 5] -0.003 0.007 -0.016 0.009 0.000 0.000 1452.0 \n", + "beta[1, 0] 0.005 0.104 -0.198 0.218 0.003 0.002 1208.0 \n", + "beta[1, 1] 0.004 0.032 -0.060 0.071 0.001 0.001 1908.0 \n", + "beta[1, 2] -1.018 0.065 -1.145 -0.900 0.002 0.001 1491.0 \n", + "beta[1, 3] 0.000 0.004 -0.006 0.007 0.000 0.000 2073.0 \n", + "beta[1, 4] 0.197 0.008 0.182 0.213 0.000 0.000 3131.0 \n", + "beta[1, 5] 0.005 0.009 -0.012 0.024 0.000 0.000 1725.0 \n", + "c_sq 7.399 15.595 0.706 17.835 0.420 0.297 2372.0 \n", + "lambda[0, 0] 1.486 3.908 0.011 4.060 0.100 0.071 1288.0 \n", + "lambda[0, 1] 60.751 418.580 1.177 117.117 15.763 11.150 1150.0 \n", + "lambda[0, 2] 0.968 2.549 0.005 2.656 0.059 0.042 1683.0 \n", + "lambda[0, 3] 0.459 1.057 0.001 1.496 0.021 0.015 1762.0 \n", + "lambda[0, 4] 8.941 40.849 0.499 18.798 1.084 0.767 1221.0 \n", + "lambda[0, 5] 0.506 0.922 0.002 1.550 0.017 0.012 2300.0 \n", + "lambda[1, 0] 2.346 13.657 0.010 4.729 0.444 0.314 1185.0 \n", + "lambda[1, 1] 0.921 2.250 0.004 2.634 0.041 0.029 1737.0 \n", + "lambda[1, 2] 45.249 174.998 0.876 111.618 4.758 3.365 1416.0 \n", + "lambda[1, 3] 0.504 2.617 0.001 1.384 0.068 0.048 1804.0 \n", + "lambda[1, 4] 6.285 24.940 0.311 14.417 0.752 0.532 1218.0 \n", + "lambda[1, 5] 0.677 3.369 0.003 1.792 0.054 0.038 2035.0 \n", + "sigma 0.773 0.022 0.734 0.817 0.000 0.000 2770.0 \n", + "tau 0.084 0.057 0.009 0.186 0.002 0.001 955.0 \n", + "\n", + " ess_tail r_hat \n", + "beta[0, 0] 1099.0 1.0 \n", + "beta[0, 1] 1500.0 1.0 \n", + "beta[0, 2] 1217.0 1.0 \n", + "beta[0, 3] 1372.0 1.0 \n", + "beta[0, 4] 2365.0 1.0 \n", + "beta[0, 5] 1313.0 1.0 \n", + "beta[1, 0] 1029.0 1.0 \n", + "beta[1, 1] 1612.0 1.0 \n", + "beta[1, 2] 1391.0 1.0 \n", + "beta[1, 3] 1916.0 1.0 \n", + "beta[1, 4] 2822.0 1.0 \n", + "beta[1, 5] 1779.0 1.0 \n", + "c_sq 1559.0 1.0 \n", + "lambda[0, 0] 1643.0 1.0 \n", + "lambda[0, 1] 1432.0 1.0 \n", + "lambda[0, 2] 1618.0 1.0 \n", + "lambda[0, 3] 1359.0 1.0 \n", + "lambda[0, 4] 1528.0 1.0 \n", + "lambda[0, 5] 1339.0 1.0 \n", + "lambda[1, 0] 1052.0 1.0 \n", + "lambda[1, 1] 1487.0 1.0 \n", + "lambda[1, 2] 1621.0 1.0 \n", + "lambda[1, 3] 1330.0 1.0 \n", + "lambda[1, 4] 1386.0 1.0 \n", + "lambda[1, 5] 2015.0 1.0 \n", + "sigma 2315.0 1.0 \n", + "tau 1537.0 1.0 " + ] + }, + "execution_count": 12, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# convert the numpyro samples to an arviz.InferenceData object.\n", + "samples = az.from_numpyro(sindy.optimizer.mcmc_)\n", + "\n", + "# have a look at the summray.\n", + "az.summary(samples)" + ] + }, + { + "cell_type": "code", + "execution_count": 13, + "id": "bf3b8df6", + "metadata": { + "execution": { + "iopub.execute_input": "2024-02-13T10:43:56.054287Z", + "iopub.status.busy": "2024-02-13T10:43:56.054179Z", + "iopub.status.idle": "2024-02-13T10:43:56.892070Z", + "shell.execute_reply": "2024-02-13T10:43:56.891741Z" + }, + "lines_to_next_cell": 2 + }, + "outputs": [ + { + "data": { + "text/plain": [ + "[]" + ] + }, + "execution_count": 13, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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+ "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# plot the traces.\n", + "az.plot_trace(samples, divergences=False)\n", + "plt.tight_layout()\n", + "plt.plot()" + ] + } + ], + "metadata": { + "jupytext": { + "cell_metadata_filter": "-all", + "encoding": "# coding: utf-8", + "executable": "/usr/bin/env python", + "main_language": "python", + "notebook_metadata_filter": "-all" + }, + "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": "3.10.12" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/examples/19_bayesian_sindy/example.py b/examples/19_bayesian_sindy/example.py new file mode 100644 index 000000000..a7beaab93 --- /dev/null +++ b/examples/19_bayesian_sindy/example.py @@ -0,0 +1,197 @@ +#!/usr/bin/env python +# coding: utf-8 +# # Bayesian UQ-SINDy +# In[1]: +import matplotlib.pyplot as plt +import numpy as np +from scipy.integrate import solve_ivp + +import pysindy as ps + + +# In[2]: + + +# set seed for reproducibility +np.random.seed(987) + + +# ### Lotka-Volterra Predator-Prey Model +# +# In this example, we generate the data using the Lotka-Volterra equations, which is a simplified model of Predator-Prey interactions. They specify a system of Ordinary Differential Equations (ODEs): +# \begin{align} +# \frac{dP}{dt} &= a P - b P Q\\ +# \frac{dQ}{dt} &= c P Q - d Q +# \end{align} +# where $P$ is the concentration of prey, $Q$ is the concentration of predators, $a$ is the birth rate of prey, $b$ is the death rate of prey, $c$ is the birth rate of predators and $d$ is the death rate of predators. +# +# For more details, see e.g. Rockwood L. L. and Witt J. W. (2015). *Introduction to population ecology*. Wiley Blackwell, Chichester, West Sussex, UK, 2nd edition + +# In[3]: + + +# set up a class that defines the Lotka-Volterra equations +class PredatorPreyModel: + def __init__(self, a=1.0, b=0.3, c=0.2, d=1.0): + # internalise the model parameters. + self.a = a + self.b = b + self.c = c + self.d = d + + def dydx(self, t, y): + # Lotka-Volterra Model model, see e.g. https://en.wikipedia.org/wiki/Lotka%E2%80%93Volterra_equations.} + return np.array( + [self.a * y[0] - self.b * y[0] * y[1], self.c * y[0] * y[1] - self.d * y[1]] + ) + + def solve(self, **kwargs): + # solve the system of ODEs. + return solve_ivp(self.dydx, **kwargs) + + +# In[4]: + + +# set some hyperparameters. +t_span = [0, 30] +y0 = np.array([10, 5]) +max_step = 0.1 + +# initialise the model and solve. +my_model = PredatorPreyModel() +sol = my_model.solve(t_span=t_span, y0=y0, max_step=max_step) + + +# In[5]: + + +# the noise level. +noise = 0.1 + +# extract the timesteps and perturb the solution with noise. +t = sol.t +P = sol.y[0, :] + np.random.normal(scale=noise, size=sol.t.size) +Q = sol.y[1, :] + np.random.normal(scale=noise, size=sol.t.size) + + +# In[6]: + + +# plot the solution. +plt.figure(figsize=(12, 4)) +plt.plot(sol.t, sol.y[0, :], label="Prey") +plt.scatter(t, P) +plt.plot(sol.t, sol.y[1, :], label="Predators") +plt.scatter(t, Q) +plt.legend() +plt.show() + + +# ### Bayesian UQ-SINDy +# +# Here we recover the governing equations using UQ-SINDy. For more details on the theory of the method, see Hirsh, S. M., Barajas-Solano, D. A., & Kutz, J. N. (2021). *Sparsifying Priors for Bayesian Uncertainty Quantification in Model Discovery* (arXiv:2107.02107). arXiv. http://arxiv.org/abs/2107.02107 +# +# Note that the current implementation differs from the method described in Hirsh et al. (2021) by imposing the error model directly on the derivatives, rather than on the states, circumventing the need to integrate the equation to evaluate the posterior density. One consequence of this is that the noise standard deviation "sigma" is with respect to the derivatives instead of the states and hence should not be interpreted. +# +# The underlying code used to find the posterior distribution of model parameters is `numpyro.infer.MCMC` using the `numpyro.infer.NUTS` kernel. Note that all keyword arguments passed to `pysindy.optimizers.SBR` are sent forward to the [MCMC sampler](https://num.pyro.ai/en/stable/mcmc.html). + +# In[7]: + + +# set sampler hyperparameters +sampling_seed = 123 + +if __name__ == "testing": + num_warmup = 10 + num_samples = 100 + num_chains = 1 +else: + num_warmup = 500 + num_samples = 2000 + num_chains = 2 + + +# In[8]: + + +# initialise the Sparse bayesian Regression optimizer. +optimizer = ps.optimizers.SBR( + num_warmup=num_warmup, + num_samples=num_samples, + mcmc_kwargs={"seed": sampling_seed, "num_chains": num_chains}, +) + +# use the standard polynomial features. +feature_library = ps.feature_library.polynomial_library.PolynomialLibrary( + include_interaction=True +) + +# initialise SINDy and fit to the data. +sindy = ps.SINDy(optimizer, feature_library, feature_names=["P", "Q"]) +sindy.fit(np.c_[P, Q], t=t) + + +# In[9]: + + +# set up a new differential equation that uses the Bayesian SINDy predictions. +def surrogate_dydt(t, y): + _y = y[np.newaxis, :] + return sindy.predict(x=_y) + + +# solve using the Bayesian SINDy equations. +surrogate_sol = solve_ivp(surrogate_dydt, t_span=t_span, y0=y0, max_step=max_step) + + +# In[10]: + + +# plot the surrogate solution. +plt.figure(figsize=(12, 4)) + +plt.plot(surrogate_sol.t, surrogate_sol.y[0, :], label="Prey") +plt.scatter(t, P) + +plt.plot(surrogate_sol.t, surrogate_sol.y[1, :], label="Predators") +plt.scatter(t, Q) + +plt.legend() +plt.show() + + +# ### Get MCMC diagnostics +# +# We can inspect the posterior samples in more detail using `arviz`. Note that this is not included as a dependency of `pysindy` and must be installed separately. + +# In[11]: + + +# import arviz. +import arviz as az + + +# In[12]: + + +# convert the numpyro samples to an arviz.InferenceData object. +samples = az.from_numpyro(sindy.optimizer.mcmc_) + +# have a look at the summray. +az.summary(samples) + + +# In[13]: + + +# plot the traces. +az.plot_trace(samples, divergences=False) +plt.tight_layout() +plt.plot() + + +# In[ ]: + + +# In[ ]: diff --git a/examples/1_feature_overview.ipynb b/examples/1_feature_overview.ipynb deleted file mode 100644 index dd7bd5f5b..000000000 --- a/examples/1_feature_overview.ipynb +++ /dev/null @@ -1,3115 +0,0 @@ -{ - "cells": [ - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "# Feature Overview\n", - "\n", - "This notebook provides a simple overview of the basic functionality of PySINDy. In addition to demonstrating the basic usage for fitting a SINDy model, we demonstrate several means of customizing the SINDy fitting procedure. These include different forms of input data, different optimization methods, different differentiation methods, and custom feature libraries.\n", - "\n", - "An interactive version of this notebook is available on binder." - ] - }, - { - "cell_type": "markdown", - "metadata": { - "ExecuteTime": { - "end_time": "2020-03-09T00:05:47.829870Z", - "start_time": "2020-03-09T00:05:47.821638Z" - } - }, - "source": [ - "[![Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/dynamicslab/pysindy/v1.7?filepath=examples/1_feature_overview.ipynb)" - ] - }, - { - "cell_type": "code", - "execution_count": 1, - "metadata": { - "ExecuteTime": { - "end_time": "2020-10-22T22:20:41.222450Z", - "start_time": "2020-10-22T22:20:40.308783Z" - } - }, - "outputs": [], - "source": [ - "import matplotlib.pyplot as plt\n", - "from mpl_toolkits.mplot3d import Axes3D\n", - "import numpy as np\n", - "from scipy.integrate import solve_ivp\n", - "from sklearn.linear_model import Lasso\n", - "\n", - "from pysindy.utils import enzyme\n", - "from pysindy.utils import lorenz\n", - "from pysindy.utils import lorenz_control\n", - "import pysindy as ps\n", - "\n", - "# bad code but allows us to ignore warnings\n", - "import warnings\n", - "warnings.filterwarnings(\"ignore\", category=UserWarning)" - ] - }, - { - "cell_type": "code", - "execution_count": 2, - "metadata": { - "ExecuteTime": { - "end_time": "2020-10-22T22:20:41.226830Z", - "start_time": "2020-10-22T22:20:41.224162Z" - } - }, - "outputs": [], - "source": [ - "# Seed the random number generators for reproducibility\n", - "np.random.seed(100)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### A note on solve_ivp vs odeint before we continue\n", - "The default solver for `solve_ivp` is a Runga-Kutta method (RK45) but this seems to work quite poorly on a number of these examples, likely because they are multi-scale and chaotic. Instead, the LSODA method seems to perform quite well (ironically this is the default for the older `odeint` method). This is a nice reminder that system identification is important to get the right model, but a good integrator is still needed at the end!" - ] - }, - { - "cell_type": "code", - "execution_count": 3, - "metadata": {}, - "outputs": [], - "source": [ - "# Initialize integrator keywords for solve_ivp to replicate the odeint defaults\n", - "integrator_keywords = {}\n", - "integrator_keywords['rtol'] = 1e-12\n", - "integrator_keywords['method'] = 'LSODA'\n", - "integrator_keywords['atol'] = 1e-12" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Basic usage\n", - "We will fit a SINDy model to the famous Lorenz system:\n", - "$$ \\dot{x} = \\sigma (y - x),$$\n", - "$$ \\dot{y} = x(\\rho - z) - y, $$\n", - "$$ \\dot{z} = x y - \\beta z. $$\n" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Train the model" - ] - }, - { - "cell_type": "code", - "execution_count": 4, - "metadata": { - "ExecuteTime": { - "end_time": "2020-10-22T22:20:41.263816Z", - "start_time": "2020-10-22T22:20:41.240788Z" - } - }, - "outputs": [], - "source": [ - "# Generate measurement data\n", - "dt = .002\n", - "\n", - "t_train = np.arange(0, 10, dt)\n", - "x0_train = [-8, 8, 27]\n", - "t_train_span = (t_train[0], t_train[-1])\n", - "x_train = solve_ivp(lorenz, t_train_span, x0_train, \n", - " t_eval=t_train, **integrator_keywords).y.T" - ] - }, - { - "cell_type": "code", - "execution_count": 5, - "metadata": { - "ExecuteTime": { - "end_time": "2020-10-22T22:20:41.306516Z", - "start_time": "2020-10-22T22:20:41.266947Z" - } - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "(x0)' = -9.999 x0 + 9.999 x1\n", - "(x1)' = 27.992 x0 + -0.999 x1 + -1.000 x0 x2\n", - "(x2)' = -2.666 x2 + 1.000 x0 x1\n" - ] - } - ], - "source": [ - "# Instantiate and fit the SINDy model\n", - "model = ps.SINDy()\n", - "model.fit(x_train, t=dt)\n", - "model.print()" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Assess results on a test trajectory" - ] - }, - { - "cell_type": "code", - "execution_count": 6, - "metadata": { - "ExecuteTime": { - "end_time": "2020-10-22T22:20:41.367601Z", - "start_time": "2020-10-22T22:20:41.308759Z" - } - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Model score: 1.000000\n" - ] - } - ], - "source": [ - "# Evolve the Lorenz equations in time using a different initial condition\n", - "t_test = np.arange(0, 15, dt)\n", - "x0_test = np.array([8, 7, 15])\n", - "t_test_span = (t_test[0], t_test[-1])\n", - "x_test = solve_ivp(lorenz, t_test_span, x0_test, \n", - " t_eval=t_test, **integrator_keywords).y.T \n", - "\n", - "# Compare SINDy-predicted derivatives with finite difference derivatives\n", - "print('Model score: %f' % model.score(x_test, t=dt))" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Predict derivatives with learned model" - ] - }, - { - "cell_type": "code", - "execution_count": 7, - "metadata": { - "ExecuteTime": { - "end_time": "2020-10-22T22:20:42.389408Z", - "start_time": "2020-10-22T22:20:41.370570Z" - } - }, - "outputs": [ - { - "data": { - "image/png": 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\n", - "text/plain": [ - "
" - ] - }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" - } - ], - "source": [ - "# Predict derivatives using the learned model\n", - "x_dot_test_predicted = model.predict(x_test) \n", - "\n", - "# Compute derivatives with a finite difference method, for comparison\n", - "x_dot_test_computed = model.differentiate(x_test, t=dt)\n", - "\n", - "fig, axs = plt.subplots(x_test.shape[1], 1, sharex=True, figsize=(7, 9))\n", - "for i in range(x_test.shape[1]):\n", - " axs[i].plot(t_test, x_dot_test_computed[:, i],\n", - " 'k', label='numerical derivative')\n", - " axs[i].plot(t_test, x_dot_test_predicted[:, i],\n", - " 'r--', label='model prediction')\n", - " axs[i].legend()\n", - " axs[i].set(xlabel='t', ylabel='$\\dot x_{}$'.format(i))\n", - "fig.show()" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Simulate forward in time" - ] - }, - { - "cell_type": "code", - "execution_count": 8, - "metadata": { - "ExecuteTime": { - "end_time": "2020-10-22T22:20:44.604020Z", - "start_time": "2020-10-22T22:20:42.392280Z" - } - }, - "outputs": [ - { - "data": { - "image/png": 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\n", - "text/plain": [ - "
" - ] - }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" - } - ], - "source": [ - "# Evolve the new initial condition in time with the SINDy model\n", - "x_test_sim = model.simulate(x0_test, t_test)\n", - "\n", - "fig, axs = plt.subplots(x_test.shape[1], 1, sharex=True, figsize=(7, 9))\n", - "for i in range(x_test.shape[1]):\n", - " axs[i].plot(t_test, x_test[:, i], 'k', label='true simulation')\n", - " axs[i].plot(t_test, x_test_sim[:, i], 'r--', label='model simulation')\n", - " axs[i].legend()\n", - " axs[i].set(xlabel='t', ylabel='$x_{}$'.format(i))\n", - "\n", - "fig = plt.figure(figsize=(10, 4.5))\n", - "ax1 = fig.add_subplot(121, projection='3d')\n", - "ax1.plot(x_test[:, 0], x_test[:, 1], x_test[:, 2], 'k')\n", - "ax1.set(xlabel='$x_0$', ylabel='$x_1$',\n", - " zlabel='$x_2$', title='true simulation')\n", - "\n", - "ax2 = fig.add_subplot(122, projection='3d')\n", - "ax2.plot(x_test_sim[:, 0], x_test_sim[:, 1], x_test_sim[:, 2], 'r--')\n", - "ax2.set(xlabel='$x_0$', ylabel='$x_1$',\n", - " zlabel='$x_2$', title='model simulation')\n", - "\n", - "fig.show()" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Different forms of input data\n", - "\n", - "Here we explore different types of input data accepted by the the `SINDy` class." - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Single trajectory, pass in collection times" - ] - }, - { - "cell_type": "code", - "execution_count": 9, - "metadata": { - "ExecuteTime": { - "end_time": "2020-10-22T22:20:44.639616Z", - "start_time": "2020-10-22T22:20:44.605466Z" - } - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "(x0)' = -9.999 x0 + 9.999 x1\n", - "(x1)' = 27.992 x0 + -0.999 x1 + -1.000 x0 x2\n", - "(x2)' = -2.666 x2 + 1.000 x0 x1\n" - ] - } - ], - "source": [ - "model = ps.SINDy()\n", - "model.fit(x_train, t=t_train)\n", - "model.print()" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Single trajectory, set default timestep\n", - "Since we used a uniform timestep when defining `t_train` we can tell set a default timestep to be used whenever `t` isn't passed in." - ] - }, - { - "cell_type": "code", - "execution_count": 10, - "metadata": { - "ExecuteTime": { - "end_time": "2020-10-22T22:20:44.698019Z", - "start_time": "2020-10-22T22:20:44.642128Z" - } - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "(x0)' = -9.999 x0 + 9.999 x1\n", - "(x1)' = 27.992 x0 + -0.999 x1 + -1.000 x0 x2\n", - "(x2)' = -2.666 x2 + 1.000 x0 x1\n" - ] - } - ], - "source": [ - "model = ps.SINDy(t_default=dt)\n", - "model.fit(x_train)\n", - "model.print()" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Single trajectory, pass in pre-computed derivatives" - ] - }, - { - "cell_type": "code", - "execution_count": 11, - "metadata": { - "ExecuteTime": { - "end_time": "2020-10-22T22:20:44.787270Z", - "start_time": "2020-10-22T22:20:44.700496Z" - } - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "(x0)' = -10.000 x0 + 10.000 x1\n", - "(x1)' = 28.000 x0 + -1.000 x1 + -1.000 x0 x2\n", - "(x2)' = -2.667 x2 + 1.000 x0 x1\n" - ] - } - ], - "source": [ - "x_dot_true = np.zeros(x_train.shape)\n", - "for i in range(t_train.size):\n", - " x_dot_true[i] = lorenz(t_train[i], x_train[i])\n", - " \n", - "model = ps.SINDy()\n", - "model.fit(x_train, t=t_train, x_dot=x_dot_true)\n", - "model.print()" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Multiple trajectories\n", - "We use the Lorenz equations to evolve multiple different initial conditions forward in time, passing all the trajectories into a single `SINDy` object. Note that `x_train_multi` is a list of 2D numpy arrays." - ] - }, - { - "cell_type": "code", - "execution_count": 12, - "metadata": { - "ExecuteTime": { - "end_time": "2020-10-22T22:20:45.314443Z", - "start_time": "2020-10-22T22:20:44.799439Z" - } - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "(x0)' = -9.999 x0 + 9.999 x1\n", - "(x1)' = 27.993 x0 + -0.999 x1 + -1.000 x0 x2\n", - "(x2)' = -2.666 x2 + 1.000 x0 x1\n" - ] - } - ], - "source": [ - "n_trajectories = 20\n", - "x0s = np.array([36, 48, 41]) * (\n", - " np.random.rand(n_trajectories, 3) - 0.5\n", - ") + np.array([0, 0, 25])\n", - "x_train_multi = []\n", - "for i in range(n_trajectories):\n", - " x_train_multi.append(solve_ivp(lorenz, t_train_span, x0s[i], \n", - " t_eval=t_train, **integrator_keywords).y.T)\n", - "\n", - "model = ps.SINDy()\n", - "model.fit(x_train_multi, t=dt, multiple_trajectories=True)\n", - "model.print()" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Multiple trajectories, different lengths of time\n", - "This example is similar to the previous one, but each trajectory consists of a different number of measurements." - ] - }, - { - "cell_type": "code", - "execution_count": 13, - "metadata": { - "ExecuteTime": { - "end_time": "2020-10-22T22:20:45.470710Z", - "start_time": "2020-10-22T22:20:45.319012Z" - } - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "(x0)' = -9.999 x0 + 9.999 x1\n", - "(x1)' = 27.994 x0 + -0.999 x1 + -1.000 x0 x2\n", - "(x2)' = -2.666 x2 + 1.000 x0 x1\n" - ] - } - ], - "source": [ - "n_trajectories = 20\n", - "x0s = np.array([36, 48, 41]) * (\n", - " np.random.rand(n_trajectories, 3) - 0.5\n", - ") + np.array([0, 0, 25])\n", - "x_train_multi = []\n", - "t_train_multi = []\n", - "for i in range(n_trajectories):\n", - " n_samples = np.random.randint(500, 1500)\n", - " t = np.arange(0, n_samples * dt, dt)\n", - " t_span = (t[0], t[-1])\n", - " x_train_multi.append(solve_ivp(lorenz, t_span, x0s[i], \n", - " t_eval=t, **integrator_keywords).y.T)\n", - " t_train_multi.append(t)\n", - "\n", - "model = ps.SINDy()\n", - "model.fit(x_train_multi, t=t_train_multi, multiple_trajectories=True)\n", - "model.print()" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Discrete time dynamical system (map)" - ] - }, - { - "cell_type": "code", - "execution_count": 14, - "metadata": { - "ExecuteTime": { - "end_time": "2020-10-22T22:20:45.489800Z", - "start_time": "2020-10-22T22:20:45.473454Z" - } - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "(x0)[k+1] = 3.600 x0[k] + -3.600 x0[k]^2\n" - ] - } - ], - "source": [ - "def f(x):\n", - " return 3.6 * x * (1 - x)\n", - "\n", - "\n", - "n_steps = 1000\n", - "eps = 0.001 # Noise level\n", - "x_train_map = np.zeros((n_steps))\n", - "x_train_map[0] = 0.5\n", - "for i in range(1, n_steps):\n", - " x_train_map[i] = f(x_train_map[i - 1]) + eps * np.random.randn()\n", - "model = ps.SINDy(discrete_time=True)\n", - "model.fit(x_train_map)\n", - "\n", - "model.print()" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Pandas DataFrame" - ] - }, - { - "cell_type": "code", - "execution_count": 15, - "metadata": { - "ExecuteTime": { - "end_time": "2020-10-22T22:20:45.803257Z", - "start_time": "2020-10-22T22:20:45.492104Z" - } - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "(x)' = -9.999 x + 9.999 y\n", - "(y)' = 27.992 x + -0.999 y + -1.000 x z\n", - "(z)' = -2.666 z + 1.000 x y\n" - ] - } - ], - "source": [ - "import pandas as pd\n", - "\n", - "# Create a dataframe with entries corresponding to measurements and\n", - "# indexed by the time at which the measurements were taken\n", - "df = pd.DataFrame(data=x_train, columns=['x', 'y', 'z'], index=t_train)\n", - "\n", - "# The column names can be used as feature names\n", - "model = ps.SINDy(feature_names=df.columns)\n", - "\n", - "# Everything needs to be converted to numpy arrays to be passed in\n", - "model.fit(df.values, t=df.index.values)\n", - "model.print()" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Optimization options\n", - "In this section we provide examples of different parameters accepted by the built-in sparse regression optimizers `STLSQ`, `SR3`, `ConstrainedSR3`, `MIOSR`, `SSR`, and `FROLS`. The `Trapping` optimizer is not straightforward to use; please check out Example 8 for some examples. We also show how to use a scikit-learn sparse regressor with PySINDy." - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### STLSQ - change parameters" - ] - }, - { - "cell_type": "code", - "execution_count": 16, - "metadata": { - "ExecuteTime": { - "end_time": "2020-10-22T22:20:45.833097Z", - "start_time": "2020-10-22T22:20:45.805829Z" - } - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "(x0)' = -9.999 x0 + 9.999 x1\n", - "(x1)' = 27.992 x0 + -0.999 x1 + -1.000 x0 x2\n", - "(x2)' = -2.666 x2 + 1.000 x0 x1\n" - ] - } - ], - "source": [ - "stlsq_optimizer = ps.STLSQ(threshold=.01, alpha=.5)\n", - "\n", - "model = ps.SINDy(optimizer=stlsq_optimizer)\n", - "model.fit(x_train, t=dt)\n", - "model.print()" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### STLSQ - verbose (print out optimization terms at each iteration)\n", - "The same verbose option is available with all the other optimizers. For optimizers that use the CVXPY\n", - "package, there is additional boolean flag, verbose_cvxpy, that decides whether or not CVXPY solves will also be verbose." - ] - }, - { - "cell_type": "code", - "execution_count": 17, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - " Iteration ... |y - Xw|^2 ... a * |w|_2 ... |w|_0 ... Total error: |y - Xw|^2 + a * |w|_2\n", - " 0 ... 3.1040e+01 ... 4.9652e+02 ... 8 ... 5.2756e+02\n", - " 1 ... 1.1797e+00 ... 4.9674e+02 ... 7 ... 4.9792e+02\n", - " 2 ... 1.1712e+00 ... 4.9675e+02 ... 7 ... 4.9792e+02\n", - "(x0)' = -9.999 x0 + 9.999 x1\n", - "(x1)' = 27.992 x0 + -0.999 x1 + -1.000 x0 x2\n", - "(x2)' = -2.666 x2 + 1.000 x0 x1\n" - ] - } - ], - "source": [ - "stlsq_optimizer = ps.STLSQ(threshold=.01, alpha=.5, verbose=True)\n", - "\n", - "model = ps.SINDy(optimizer=stlsq_optimizer)\n", - "model.fit(x_train, t=dt)\n", - "model.print()" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### SR3" - ] - }, - { - "cell_type": "code", - "execution_count": 18, - "metadata": { - "ExecuteTime": { - "end_time": "2020-10-22T22:20:45.862190Z", - "start_time": "2020-10-22T22:20:45.835106Z" - } - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "(x0)' = -9.999 x0 + 9.999 x1\n", - "(x1)' = 27.992 x0 + -0.999 x1 + -1.000 x0 x2\n", - "(x2)' = -2.666 x2 + 1.000 x0 x1\n" - ] - } - ], - "source": [ - "sr3_optimizer = ps.SR3(threshold=0.1, thresholder='l1')\n", - "\n", - "model = ps.SINDy(optimizer=sr3_optimizer)\n", - "model.fit(x_train, t=dt)\n", - "model.print()" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### SR3 - with trimming\n", - "`SR3` is capable of automatically trimming outliers from training data. Specifying the parameter `trimming_fraction` tells the method what fraction of samples should be trimmed." - ] - }, - { - "cell_type": "code", - "execution_count": 19, - "metadata": { - "ExecuteTime": { - "end_time": "2020-10-22T22:20:46.058222Z", - "start_time": "2020-10-22T22:20:45.865560Z" - } - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Without trimming\n", - "(x0)' = -0.063 1 + -9.936 x0 + 9.941 x1 + 0.002 x2\n", - "(x1)' = 0.144 1 + 27.993 x0 + -0.995 x1 + -0.014 x2 + 0.004 x0^2 + -1.000 x0 x2\n", - "(x2)' = -0.053 1 + 0.007 x1 + -2.661 x2 + 0.998 x0 x1\n", - "\n", - "With trimming\n", - "(x0)' = -9.936 x0 + 9.941 x1\n", - "(x1)' = 27.997 x0 + -0.995 x1 + -1.000 x0 x2\n", - "(x2)' = -2.662 x2 + 0.998 x0 x1\n" - ] - } - ], - "source": [ - "corrupted_inds = np.random.randint(0, len(x_train), size=len(x_train) // 30)\n", - "x_train_corrupted = x_train.copy()\n", - "x_train_corrupted[corrupted_inds] += np.random.standard_normal((len(corrupted_inds), 3))\n", - "\n", - "# Without trimming\n", - "sr3_optimizer = ps.SR3()\n", - "model = ps.SINDy(optimizer=sr3_optimizer).fit(x_train_corrupted, t=dt, quiet=True)\n", - "print(\"Without trimming\")\n", - "model.print()\n", - "\n", - "# With trimming\n", - "sr3_optimizer = ps.SR3(trimming_fraction=0.1)\n", - "model = ps.SINDy(optimizer=sr3_optimizer).fit(x_train_corrupted, t=dt, quiet=True)\n", - "print(\"\\nWith trimming\")\n", - "model.print()" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### SR3 regularizers \n", - "The default regularizer with SR3 is the L0 norm, but L1 and L2 are allowed. Note that the pure L2 option is notably less sparse than the other options." - ] - }, - { - "cell_type": "code", - "execution_count": 20, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "L0 regularizer: \n", - "(x0)' = -9.999 x0 + 9.999 x1\n", - "(x1)' = 27.992 x0 + -0.999 x1 + -1.000 x0 x2\n", - "(x2)' = -2.666 x2 + 1.000 x0 x1\n", - "L1 regularizer: \n", - "(x0)' = -9.999 x0 + 9.999 x1\n", - "(x1)' = 27.992 x0 + -0.999 x1 + -1.000 x0 x2\n", - "(x2)' = -2.666 x2 + 1.000 x0 x1\n", - "L2 regularizer: \n", - "(x0)' = -0.001 1 + -10.005 x0 + 10.003 x1\n", - "(x1)' = -0.015 1 + 27.991 x0 + -0.998 x1 + 0.002 x2 + -1.000 x0 x2\n", - "(x2)' = 0.008 1 + 0.006 x0 + -0.004 x1 + -2.666 x2 + 0.001 x0^2 + 0.999 x0 x1\n" - ] - } - ], - "source": [ - "sr3_optimizer = ps.SR3(threshold=0.1, thresholder='l0')\n", - "model = ps.SINDy(optimizer=sr3_optimizer).fit(x_train, t=dt, quiet=True)\n", - "print(\"L0 regularizer: \")\n", - "model.print()\n", - "\n", - "sr3_optimizer = ps.SR3(threshold=0.1, thresholder=\"l1\")\n", - "model = ps.SINDy(optimizer=sr3_optimizer).fit(x_train, t=dt, quiet=True)\n", - "print(\"L1 regularizer: \")\n", - "model.print()\n", - "\n", - "sr3_optimizer = ps.SR3(threshold=0.1, thresholder=\"l2\")\n", - "model = ps.SINDy(optimizer=sr3_optimizer).fit(x_train, t=dt, quiet=True)\n", - "print(\"L2 regularizer: \")\n", - "model.print()" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### SR3 - with variable thresholding\n", - "`SR3` and its variants (ConstrainedSR3, TrappingSR3, SINDyPI) can use a matrix of thresholds to set different thresholds for different terms." - ] - }, - { - "cell_type": "code", - "execution_count": 21, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Threshold = 0.1 for all terms\n", - "(x0)' = -9.999 x0 + 9.999 x1\n", - "(x1)' = 27.992 x0 + -0.999 x1 + -1.000 x0 x2\n", - "(x2)' = -2.666 x2 + 1.000 x0 x1\n", - "Threshold = 0.1 for quadratic terms, else threshold = 1\n", - "(x0)' = -9.999 x0 + 9.999 x1\n", - "(x1)' = 25.563 x0 + -0.952 x0 x2\n", - "(x2)' = -2.666 x2 + 1.000 x0 x1\n" - ] - } - ], - "source": [ - "# Without thresholds matrix\n", - "sr3_optimizer = ps.SR3(threshold=0.1, thresholder='l0')\n", - "model = ps.SINDy(optimizer=sr3_optimizer).fit(x_train, t=dt)\n", - "print(\"Threshold = 0.1 for all terms\")\n", - "model.print()\n", - "\n", - "# With thresholds matrix\n", - "thresholds = 2 * np.ones((10, 3))\n", - "thresholds[4:, :] = 0.1\n", - "sr3_optimizer = ps.SR3(thresholder=\"weighted_l0\", thresholds=thresholds)\n", - "model = ps.SINDy(optimizer=sr3_optimizer).fit(x_train, t=dt)\n", - "print(\"Threshold = 0.1 for quadratic terms, else threshold = 1\")\n", - "model.print()" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "It can be seen that the x1 term in the second equation correctly gets truncated with these thresholds. \n", - "\n", - "### ConstrainedSR3\n", - "We can impose linear equality and inequality constraints on the coefficients in the `SINDy` model using the `ConstrainedSR3` class. Below we constrain the x0 coefficient in the second equation to be exactly 28 and the x0 and x1 coefficients in the first equations to be negatives of one another. See this [notebook](https://github.com/dynamicslab/pysindy/blob/master/examples/7_plasma_examples.ipynb) for examples." - ] - }, - { - "cell_type": "code", - "execution_count": 22, - "metadata": { - "ExecuteTime": { - "end_time": "2020-10-22T22:20:46.071020Z", - "start_time": "2020-10-22T22:20:46.062479Z" - } - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Features (10): ['1', 'x0', 'x1', 'x2', 'x0^2', 'x0 x1', 'x0 x2', 'x1^2', 'x1 x2', 'x2^2']\n" - ] - } - ], - "source": [ - "# Figure out how many library features there will be\n", - "library = ps.PolynomialLibrary()\n", - "library.fit([ps.AxesArray(x_train,{\"ax_sample\":0,\"ax_coord\":1})])\n", - "n_features = library.n_output_features_\n", - "print(f\"Features ({n_features}):\", library.get_feature_names())" - ] - }, - { - "cell_type": "code", - "execution_count": 23, - "metadata": { - "ExecuteTime": { - "end_time": "2020-10-22T22:20:46.108252Z", - "start_time": "2020-10-22T22:20:46.073968Z" - } - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "(x0)' = -10.002 x0 + 10.002 x1\n", - "(x1)' = 28.000 x0 + -1.003 x1 + -1.000 x0 x2\n", - "(x2)' = -2.666 x2 + 0.999 x0 x1\n" - ] - } - ], - "source": [ - "# Set constraints\n", - "n_targets = x_train.shape[1]\n", - "constraint_rhs = np.array([0, 28])\n", - "\n", - "# One row per constraint, one column per coefficient\n", - "constraint_lhs = np.zeros((2, n_targets * n_features))\n", - "\n", - "# 1 * (x0 coefficient) + 1 * (x1 coefficient) = 0\n", - "constraint_lhs[0, 1] = 1\n", - "constraint_lhs[0, 2] = 1\n", - "\n", - "# 1 * (x0 coefficient) = 28\n", - "constraint_lhs[1, 1 + n_features] = 1\n", - "\n", - "optimizer = ps.ConstrainedSR3(constraint_rhs=constraint_rhs, constraint_lhs=constraint_lhs)\n", - "model = ps.SINDy(optimizer=optimizer, feature_library=library).fit(x_train, t=dt)\n", - "model.print()" - ] - }, - { - "cell_type": "code", - "execution_count": 24, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "(x0)' = -11.085 x0 + 9.701 x1 + 0.020 x2 + 0.021 x0 x2 + 0.025 x1 x2\n", - "(x1)' = 2.338 1 + 0.050 x0 + 10.311 x1 + 0.368 x2 + -0.047 x0^2 + 0.197 x0 x1 + -0.308 x0 x2 + -0.125 x1^2 + -0.183 x1 x2 + -0.006 x2^2\n", - "(x2)' = -2.666 x2 + 1.000 x0 x1\n" - ] - } - ], - "source": [ - "# Try with normalize columns (doesn't work with constraints!!!)\n", - "optimizer = ps.ConstrainedSR3(constraint_rhs=constraint_rhs, \n", - " constraint_lhs=constraint_lhs,\n", - " normalize_columns=True, \n", - " threshold=10)\n", - "model = ps.SINDy(optimizer=optimizer, \n", - " feature_library=library).fit(x_train, t=dt, quiet=True)\n", - "model.print()" - ] - }, - { - "cell_type": "code", - "execution_count": 25, - "metadata": {}, - "outputs": [], - "source": [ - "# Repeat with inequality constraints, need CVXPY installed\n", - "try:\n", - " import cvxpy\n", - " run_cvxpy = True\n", - "except ImportError:\n", - " run_cvxpy = False\n", - " print('No CVXPY package is installed')" - ] - }, - { - "cell_type": "code", - "execution_count": 26, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "(x0)' = -10.000 x0 + 10.000 x1\n", - "(x1)' = 27.985 x0 + -0.994 x1 + -1.000 x0 x2\n", - "(x2)' = 0.001 x0 + -2.665 x2 + 0.001 x0^2 + 0.999 x0 x1\n", - "-10.000125704916801 10.000135690183592\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "/Users/zack/opt/anaconda3/envs/pysindy_env/lib/python3.9/site-packages/cvxpy/problems/problem.py:1294: UserWarning: Solution may be inaccurate. Try another solver, adjusting the solver settings, or solve with verbose=True for more information.\n", - " warnings.warn(\n" - ] - } - ], - "source": [ - "if run_cvxpy:\n", - " # Repeat with inequality constraints\n", - " eps = 1e-5\n", - " constraint_rhs = np.array([eps, eps, 28])\n", - "\n", - " # One row per constraint, one column per coefficient\n", - " constraint_lhs = np.zeros((3, n_targets * n_features))\n", - "\n", - " # 1 * (x0 coefficient) + 1 * (x1 coefficient) <= eps\n", - " constraint_lhs[0, 1] = 1\n", - " constraint_lhs[0, 2] = 1\n", - "\n", - " # -eps <= 1 * (x0 coefficient) + 1 * (x1 coefficient)\n", - " constraint_lhs[1, 1] = -1\n", - " constraint_lhs[1, 2] = -1\n", - "\n", - " # 1 * (x0 coefficient) <= 28\n", - " constraint_lhs[2, 1 + n_features] = 1\n", - "\n", - " optimizer = ps.ConstrainedSR3(\n", - " constraint_rhs=constraint_rhs,\n", - " constraint_lhs=constraint_lhs,\n", - " inequality_constraints=True,\n", - " thresholder=\"l1\",\n", - " tol=1e-7,\n", - " threshold=10,\n", - " max_iter=10000\n", - " )\n", - " model = ps.SINDy(optimizer=optimizer, \n", - " feature_library=library).fit(x_train, t=dt)\n", - " model.print()\n", - " print(optimizer.coef_[0, 1], optimizer.coef_[0, 2])" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### MIOSR\n", - "Mixed-integer optimized sparse regression (MIOSR) is an optimizer which solves the NP-hard subset selection problem to provable optimality using techniques from mixed-integer optimization. This optimizer is expected to be most performant compared to heuristics in settings with limited data or on systems with small coefficents. See Bertsimas, Dimitris, and Wes Gurnee. \"Learning Sparse Nonlinear Dynamics via Mixed-Integer Optimization.\" arXiv preprint arXiv:2206.00176 (2022). for details.\n", - "\n", - "Note, MIOSR requires `gurobipy` as a dependency. Please either `pip install gurobipy` or `pip install pysindy[miosr]`. \n", - "\n", - "Gurobi is a private company, but a limited academic license is available when you pip install. If you have previously installed `gurobipy` but your license has expired, `import gurobipy` will work but using the functionality will throw a `GurobiError`. See [here](https://support.gurobi.com/hc/en-us/articles/360038967271-How-do-I-renew-my-free-individual-academic-or-free-trial-license-) for how to renew a free academic license." - ] - }, - { - "cell_type": "code", - "execution_count": 27, - "metadata": {}, - "outputs": [], - "source": [ - "try:\n", - " import gurobipy\n", - " run_miosr = True\n", - " GurobiError = gurobipy.GurobiError\n", - "except ImportError:\n", - " run_miosr = False" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "MIOSR can handle sparsity constraints in two ways: dimensionwise sparsity where the algorithm is fit once per each dimension, and global sparsity, where all dimensions are fit jointly to respect the overall sparsity constraint. Additionally, MIOSR can handle constraints and can be adapted to implement custom constraints by advanced users.\n", - "\n", - "### MIOSR target_sparsity vs. group_sparsity" - ] - }, - { - "cell_type": "code", - "execution_count": 28, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Set parameter Username\n", - "Academic license - for non-commercial use only - expires 2023-12-02\n", - "(x0)' = -9.999 x0 + 9.999 x1\n", - "(x1)' = 27.992 x0 + -0.999 x1 + -1.000 x0 x2\n", - "(x2)' = -2.666 x2 + 1.000 x0 x1\n" - ] - } - ], - "source": [ - "if run_miosr:\n", - " try:\n", - " miosr_optimizer = ps.MIOSR(target_sparsity=7)\n", - " model = ps.SINDy(optimizer=miosr_optimizer)\n", - " model.fit(x_train, t=dt)\n", - " model.print()\n", - " except GurobiError:\n", - " print('User has an expired gurobi license')" - ] - }, - { - "cell_type": "code", - "execution_count": 29, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "(x0)' = -9.999 x0 + 9.999 x1\n", - "(x1)' = 27.992 x0 + -0.999 x1 + -1.000 x0 x2\n", - "(x2)' = -2.666 x2 + 1.000 x0 x1\n" - ] - } - ], - "source": [ - "if run_miosr:\n", - " try:\n", - " miosr_optimizer = ps.MIOSR(group_sparsity=(2, 3, 2), target_sparsity=None)\n", - "\n", - " model = ps.SINDy(optimizer=miosr_optimizer)\n", - " model.fit(x_train, t=dt)\n", - " model.print()\n", - " except GurobiError:\n", - " print('User does not have a gurobi license')" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### MIOSR (verbose) with equality constraints" - ] - }, - { - "cell_type": "code", - "execution_count": 30, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Set parameter TimeLimit to value 10\n", - "Gurobi Optimizer version 9.5.2 build v9.5.2rc0 (mac64[x86])\n", - "Thread count: 4 physical cores, 8 logical processors, using up to 8 threads\n", - "Optimize a model with 3 rows, 60 columns and 33 nonzeros\n", - "Model fingerprint: 0xfff3ed10\n", - "Model has 165 quadratic objective terms\n", - "Model has 30 SOS constraints\n", - "Variable types: 30 continuous, 30 integer (30 binary)\n", - "Coefficient statistics:\n", - " Matrix range [1e+00, 1e+00]\n", - " Objective range [2e+02, 9e+07]\n", - " QObjective range [1e+04, 6e+09]\n", - " Bounds range [1e+00, 1e+00]\n", - " RHS range [2e+01, 3e+01]\n", - "Warning: Model contains large quadratic objective coefficients\n", - " Consider reformulating model or setting NumericFocus parameter\n", - " to avoid numerical issues.\n", - "Presolve removed 1 rows and 2 columns\n", - "Presolve time: 0.00s\n", - "Presolved: 2 rows, 58 columns, 31 nonzeros\n", - "Presolved model has 29 SOS constraint(s)\n", - "Presolved model has 155 quadratic objective terms\n", - "Variable types: 29 continuous, 29 integer (29 binary)\n", - "\n", - "Root relaxation: objective -6.078269e+07, 78 iterations, 0.00 seconds (0.00 work units)\n", - "\n", - " Nodes | Current Node | Objective Bounds | Work\n", - " Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time\n", - "\n", - "H 0 0 2.907971e+08 -6.078e+07 121% - 0s\n", - " 0 0 -6.078e+07 0 23 2.9080e+08 -6.078e+07 121% - 0s\n", - "H 0 0 2.820235e+08 -6.078e+07 122% - 0s\n", - "H 0 0 4.892195e+07 -6.078e+07 224% - 0s\n", - " 0 0 -6.078e+07 0 23 4.8922e+07 -6.078e+07 224% - 0s\n", - "H 0 0 4.877359e+07 -6.078e+07 225% - 0s\n", - " 0 2 -6.078e+07 0 23 4.8774e+07 -6.078e+07 225% - 0s\n", - "H 4 8 8894834.6000 -6.078e+07 783% 1.8 0s\n", - "H 4 8 -2.94913e+07 -6.078e+07 106% 1.8 0s\n", - "H 19 14 -2.99483e+07 -6.078e+07 103% 1.8 0s\n", - "H 22 22 -4.69817e+07 -6.078e+07 29.4% 1.9 0s\n", - "H 26 22 -4.76687e+07 -6.078e+07 27.5% 2.0 0s\n", - "H 33 30 -4.78428e+07 -6.078e+07 27.0% 2.1 0s\n", - "H 38 32 -5.15066e+07 -6.078e+07 18.0% 2.4 0s\n", - "H 39 32 -5.16808e+07 -6.078e+07 17.6% 2.4 0s\n", - "* 41 32 6 -6.07827e+07 -6.078e+07 0.00% 3.0 0s\n", - "\n", - "Explored 45 nodes (223 simplex iterations) in 0.05 seconds (0.00 work units)\n", - "Thread count was 8 (of 8 available processors)\n", - "\n", - "Solution count 10: -6.07827e+07 -5.16808e+07 -5.15066e+07 ... 2.82023e+08\n", - "No other solutions better than -6.07827e+07\n", - "\n", - "Optimal solution found (tolerance 1.00e-04)\n", - "Best objective -6.078268757125e+07, best bound -6.078268757125e+07, gap 0.0000%\n", - "(x0)' = -9.999 x0 + 9.999 x1\n", - "(x1)' = 27.992 x0 + -0.999 x1 + -1.000 x0 x2\n", - "(x2)' = -2.666 x2 + 1.000 x0 x1\n", - "-10.000125704916801 10.000135690183592\n" - ] - } - ], - "source": [ - "if run_miosr:\n", - " try:\n", - " # Set constraints\n", - " n_targets = x_train.shape[1]\n", - " constraint_rhs = np.array([0, 28])\n", - "\n", - " # One row per constraint, one column per coefficient\n", - " constraint_lhs = np.zeros((2, n_targets * n_features))\n", - "\n", - " # 1 * (x0 coefficient) + 1 * (x1 coefficient) = 0\n", - " constraint_lhs[0, 1] = 1\n", - " constraint_lhs[0, 2] = 1\n", - "\n", - " # 1 * (x0 coefficient) = 28\n", - " constraint_lhs[1, 1 + n_features] = 1\n", - "\n", - " miosr_optimizer = ps.MIOSR(\n", - " constraint_rhs=constraint_rhs,\n", - " constraint_lhs=constraint_lhs,\n", - " verbose=True, # print the full gurobi log\n", - " target_sparsity=7\n", - " )\n", - " model = ps.SINDy(optimizer=miosr_optimizer, \n", - " feature_library=library).fit(x_train, t=dt)\n", - " model.print()\n", - " print(optimizer.coef_[0, 1], optimizer.coef_[0, 2])\n", - " except GurobiError:\n", - " print('User does not have a gurobi license')" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "See the [gurobi documentation](https://www.gurobi.com/documentation/9.5/refman/mip_logging.html) for more information on how to read the log output and this [tutorial](https://www.gurobi.com/resource/mip-basics/) on the basics of mixed-integer optimization." - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### SSR (greedy algorithm)\n", - "Stepwise sparse regression (SSR) is a greedy algorithm which solves the problem (defaults to ridge regression) by iteratively truncating the smallest coefficient during the optimization. There are many ways one can decide to truncate terms. We implement two popular ways, truncating the smallest coefficient at each iteration, or chopping each coefficient, computing N - 1 models, and then choosing the model with the lowest residual error. See this [notebook](https://github.com/dynamicslab/pysindy/blob/master/examples/11_SSR_FROLS.ipynb) for examples." - ] - }, - { - "cell_type": "code", - "execution_count": 31, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "(x0)' = -0.001 1 + -10.005 x0 + 10.003 x1\n", - "(x1)' = -0.015 1 + 27.991 x0 + -0.998 x1 + 0.002 x2 + -1.000 x0 x2\n", - "(x2)' = 0.008 1 + 0.006 x0 + -0.004 x1 + -2.666 x2 + 0.001 x0^2 + 0.999 x0 x1\n" - ] - } - ], - "source": [ - "ssr_optimizer = ps.SSR(alpha=.05)\n", - "\n", - "model = ps.SINDy(optimizer=ssr_optimizer)\n", - "model.fit(x_train, t=dt)\n", - "model.print()" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "The alpha parameter is the same here as in the STLSQ optimizer. It determines the amount of L2 regularization to use, so if alpha is nonzero, this is doing Ridge regression rather than least-squares regression." - ] - }, - { - "cell_type": "code", - "execution_count": 32, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "(x0)' = -0.001 1 + -10.005 x0 + 10.003 x1\n", - "(x1)' = -0.015 1 + 27.991 x0 + -0.998 x1 + 0.002 x2 + -1.000 x0 x2\n", - "(x2)' = 0.008 1 + 0.006 x0 + -0.004 x1 + -2.666 x2 + 0.001 x0^2 + 0.999 x0 x1\n" - ] - } - ], - "source": [ - "ssr_optimizer = ps.SSR(alpha=.05, criteria=\"model_residual\")\n", - "model = ps.SINDy(optimizer=ssr_optimizer)\n", - "model.fit(x_train, t=dt)\n", - "model.print()" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "The kappa parameter determines how sparse a solution is desired." - ] - }, - { - "cell_type": "code", - "execution_count": 33, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "(x0)' = -10.004 x0 + 10.003 x1\n", - "(x1)' = 27.992 x0 + -0.999 x1 + -1.000 x0 x2\n", - "(x2)' = -2.665 x2 + 1.000 x0 x1\n" - ] - } - ], - "source": [ - "ssr_optimizer = ps.SSR(alpha=.05, criteria=\"model_residual\", kappa=1e-3)\n", - "model = ps.SINDy(optimizer=ssr_optimizer)\n", - "model.fit(x_train, t=dt)\n", - "model.print()" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### FROLS (greedy algorithm)\n", - "Forward Regression Orthogonal Least Squares (FROLS) is another greedy algorithm which solves the least-squares regression problem (actually default is to solve ridge regression) with $L_0$ norm by iteratively selecting the most correlated function in the library. At each step, the candidate functions are orthogonalized with respect to the already-selected functions. The selection criteria is the Error Reduction Ratio, i.e. the normalized increase in the explained output variance due to the addition of a given function to the basis. See this [notebook](https://github.com/dynamicslab/pysindy/blob/master/examples/11_SSR_FROLS.ipynb) for examples." - ] - }, - { - "cell_type": "code", - "execution_count": 34, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "(x0)' = -0.001 1 + -10.005 x0 + 10.003 x1\n", - "(x1)' = -0.005 1 + 27.990 x0 + -0.997 x1 + -1.000 x0 x2\n", - "(x2)' = 0.019 1 + -2.668 x2 + 0.999 x0 x1\n" - ] - } - ], - "source": [ - "optimizer = ps.FROLS(alpha=.05)\n", - "model = ps.SINDy(optimizer=optimizer)\n", - "model.fit(x_train, t=dt)\n", - "model.print()" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "The kappa parameter determines how sparse a solution is desired." - ] - }, - { - "cell_type": "code", - "execution_count": 35, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "(x0)' = -9.999 x0 + 9.999 x1\n", - "(x1)' = 27.992 x0 + -0.999 x1 + -1.000 x0 x2\n", - "(x2)' = -0.001 1 + -2.666 x2 + 1.000 x0 x1\n" - ] - } - ], - "source": [ - "optimizer = ps.FROLS(alpha=.05, kappa=1e-7)\n", - "model = ps.SINDy(optimizer=optimizer)\n", - "model.fit(x_train, t=dt)\n", - "model.print()" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### LASSO\n", - "In this example we use a third-party Lasso implementation (from scikit-learn) as the optimizer." - ] - }, - { - "cell_type": "code", - "execution_count": 36, - "metadata": { - "ExecuteTime": { - "end_time": "2020-10-22T22:20:46.436242Z", - "start_time": "2020-10-22T22:20:46.110756Z" - } - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "(x0)' = -10.005 x0 + 10.003 x1\n", - "(x1)' = 27.990 x0 + -0.997 x1 + -1.000 x0 x2\n", - "(x2)' = -2.665 x2 + 1.000 x0 x1\n" - ] - } - ], - "source": [ - "lasso_optimizer = Lasso(alpha=2, max_iter=2000, fit_intercept=False)\n", - "\n", - "model = ps.SINDy(optimizer=lasso_optimizer)\n", - "model.fit(x_train, t=dt)\n", - "model.print()" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Ensemble methods\n", - "One way to improve SINDy performance is to generate many models by sub-sampling the time series (ensemble) or sub-sampling the candidate library $\\mathbf{\\Theta}$ (library ensemble). The resulting models can then be synthesized by taking the average (bagging), taking the median (this is the recommended because it works well in practice), or some other post-processing. See this [notebook](https://github.com/dynamicslab/pysindy/blob/master/examples/13_ensembling.ipynb) for more examples." - ] - }, - { - "cell_type": "code", - "execution_count": 37, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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\n", - "text/plain": [ - "
" - ] - }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" - } - ], - "source": [ - "# Default is to sample the entire time series with replacement, generating 10 models on roughly \n", - "# 60% of the total data, with duplicates. \n", - "\n", - "# Custom feature names\n", - "np.random.seed(100)\n", - "feature_names = ['x', 'y', 'z']\n", - "\n", - "ensemble_optimizer = ps.EnsembleOptimizer(ps.STLSQ(threshold=1e-3,normalize_columns=False),bagging=True,n_subset=int(0.6*x_train.shape[0]))\n", - "\n", - "model = ps.SINDy(optimizer=ensemble_optimizer, feature_names=feature_names)\n", - "model.fit(x_train, t=dt)\n", - "ensemble_coefs = ensemble_optimizer.coef_list\n", - "mean_ensemble = np.mean(ensemble_coefs, axis=0)\n", - "std_ensemble = np.std(ensemble_coefs, axis=0)\n", - "\n", - "# Now we sub-sample the library. The default is to omit a single library term.\n", - "library_ensemble_optimizer=ps.EnsembleOptimizer(ps.STLSQ(threshold=1e-3,normalize_columns=False),library_ensemble=True)\n", - "model = ps.SINDy(optimizer=library_ensemble_optimizer, feature_names=feature_names)\n", - "\n", - "model.fit(x_train, t=dt)\n", - "library_ensemble_coefs = library_ensemble_optimizer.coef_list\n", - "mean_library_ensemble = np.mean(library_ensemble_coefs, axis=0)\n", - "std_library_ensemble = np.std(library_ensemble_coefs, axis=0)\n", - "\n", - "# Plot results\n", - "xticknames = model.get_feature_names()\n", - "for i in range(10):\n", - " xticknames[i] = '$' + xticknames[i] + '$'\n", - "plt.figure(figsize=(10, 4))\n", - "colors = ['b', 'r', 'k']\n", - "plt.subplot(1, 2, 1)\n", - "plt.title('ensembling')\n", - "for i in range(3):\n", - " plt.errorbar(range(10), mean_ensemble[i, :], yerr=std_ensemble[i, :], \n", - " fmt='o', color=colors[i],\n", - " label=r'Equation for $\\dot{' + feature_names[i] + r'}$')\n", - "ax = plt.gca()\n", - "plt.grid(True)\n", - "ax.set_xticks(range(10))\n", - "ax.set_xticklabels(xticknames, verticalalignment='top')\n", - "plt.subplot(1, 2, 2)\n", - "plt.title('library ensembling')\n", - "for i in range(3):\n", - " plt.errorbar(range(10), mean_library_ensemble[i, :], yerr=std_library_ensemble[i, :], \n", - " fmt='o', color=colors[i], \n", - " label=r'Equation for $\\dot{' + feature_names[i] + r'}$')\n", - "ax = plt.gca()\n", - "plt.grid(True)\n", - "plt.legend()\n", - "ax.set_xticks(range(10))\n", - "ax.set_xticklabels(xticknames, verticalalignment='top');" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Differentiation options" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Pass in pre-computed derivatives\n", - "Rather than using one of PySINDy's built-in differentiators, you can compute numerical derivatives using a method of your choice then pass them directly to the `fit` method. This option also enables you to use derivative data obtained directly from experiments." - ] - }, - { - "cell_type": "code", - "execution_count": 38, - "metadata": { - "ExecuteTime": { - "end_time": "2020-10-22T22:20:46.478998Z", - "start_time": "2020-10-22T22:20:46.441454Z" - } - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "(x0)' = -9.999 x0 + 9.999 x1\n", - "(x1)' = 27.992 x0 + -0.999 x1 + -1.000 x0 x2\n", - "(x2)' = -2.666 x2 + 1.000 x0 x1\n" - ] - } - ], - "source": [ - "x_dot_precomputed = ps.FiniteDifference()._differentiate(x_train, t_train)\n", - " \n", - "model = ps.SINDy()\n", - "model.fit(x_train, t=t_train, x_dot=x_dot_precomputed)\n", - "model.print()" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Drop end points from finite difference computation\n", - "Many methods of numerical differentiation exhibit poor performance near the endpoints of the data. The `FiniteDifference` and `SmoothedFiniteDifference` methods allow one to easily drop the endpoints for improved accuracy." - ] - }, - { - "cell_type": "code", - "execution_count": 39, - "metadata": { - "ExecuteTime": { - "end_time": "2020-10-22T22:20:46.537504Z", - "start_time": "2020-10-22T22:20:46.488114Z" - } - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "(x0)' = -9.999 x0 + 9.999 x1\n", - "(x1)' = 27.992 x0 + -0.998 x1 + -1.000 x0 x2\n", - "(x2)' = -2.666 x2 + 1.000 x0 x1\n" - ] - } - ], - "source": [ - "fd_drop_endpoints = ps.FiniteDifference(drop_endpoints=True)\n", - " \n", - "model = ps.SINDy(differentiation_method=fd_drop_endpoints)\n", - "model.fit(x_train, t=t_train)\n", - "model.print()" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Differentiation along specific array axis\n", - "For partial differential equations (PDEs), you may have spatiotemporal data in a multi-dimensional array. For this case, the `FiniteDifference` method allows one to only differential along a specific axis, so one can easily differentiate in a specific spatial direction." - ] - }, - { - "cell_type": "code", - "execution_count": 40, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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\n", 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\n", - "text/plain": [ - "
" - ] - }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" - } - ], - "source": [ - "from scipy.io import loadmat\n", - "\n", - "# Load the data stored in a matlab .mat file\n", - "kdV = loadmat('data/kdv.mat')\n", - "t = np.ravel(kdV['t'])\n", - "X = np.ravel(kdV['x'])\n", - "x = np.real(kdV['usol'])\n", - "dt_kdv = t[1] - t[0]\n", - "\n", - "# Plot x and x_dot\n", - "plt.figure()\n", - "plt.pcolormesh(t, X, x)\n", - "plt.xlabel('t', fontsize=16)\n", - "plt.ylabel('X', fontsize=16)\n", - "plt.title(r'$u(x, t)$', fontsize=16)\n", - "plt.figure()\n", - "x_dot = ps.FiniteDifference(axis=1)._differentiate(x, t=dt_kdv)\n", - "\n", - "plt.pcolormesh(t, X, x_dot)\n", - "plt.xlabel('t', fontsize=16)\n", - "plt.ylabel('x', fontsize=16)\n", - "plt.title(r'$\\dot{u}(x, t)$', fontsize=16)\n", - "plt.show()" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Smoothed finite difference\n", - "This method, designed for noisy data, applies a smoother (the default is `scipy.signal.savgol_filter`) before performing differentiation." - ] - }, - { - "cell_type": "code", - "execution_count": 41, - "metadata": { - "ExecuteTime": { - "end_time": "2020-10-22T22:20:46.598683Z", - "start_time": "2020-10-22T22:20:46.540521Z" - } - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "(x0)' = -9.999 x0 + 9.999 x1\n", - "(x1)' = 27.992 x0 + -0.998 x1 + -1.000 x0 x2\n", - "(x2)' = -2.666 x2 + 1.000 x0 x1\n" - ] - } - ], - "source": [ - "smoothed_fd = ps.SmoothedFiniteDifference()\n", - " \n", - "model = ps.SINDy(differentiation_method=smoothed_fd)\n", - "model.fit(x_train, t=t_train)\n", - "model.print()" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### More differentiation options\n", - "PySINDy is compatible with any of the differentiation methods from the [derivative](https://pypi.org/project/derivative/) package. They are explored in detail in [this notebook](https://github.com/dynamicslab/pysindy/blob/master/examples/5_differentiation.ipynb).\n", - "\n", - "PySINDy defines a `SINDyDerivative` class for interfacing with `derivative` methods. To use a differentiation method provided by `derivative`, simply pass into `SINDyDerivative` the keyword arguments you would give the [dxdt](https://derivative.readthedocs.io/en/latest/api.html#derivative.differentiation.dxdt) method." - ] - }, - { - "cell_type": "code", - "execution_count": 42, - "metadata": { - "ExecuteTime": { - "end_time": "2020-10-22T22:20:46.930345Z", - "start_time": "2020-10-22T22:20:46.606596Z" - } - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "(x0)' = -10.000 x0 + 10.000 x1\n", - "(x1)' = 28.003 x0 + -1.001 x1 + -1.000 x0 x2\n", - "(x2)' = -2.667 x2 + 1.000 x0 x1\n" - ] - } - ], - "source": [ - "spline_derivative = ps.SINDyDerivative(kind=\"spline\", s=1e-2)\n", - "\n", - "model = ps.SINDy(differentiation_method=spline_derivative)\n", - "model.fit(x_train, t=t_train)\n", - "model.print()" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Feature libraries" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Custom feature names" - ] - }, - { - "cell_type": "code", - "execution_count": 43, - "metadata": { - "ExecuteTime": { - "end_time": "2020-10-22T22:20:46.952076Z", - "start_time": "2020-10-22T22:20:46.932461Z" - }, - "scrolled": true - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "(x)' = -9.999 x + 9.999 y\n", - "(y)' = 27.992 x + -0.999 y + -1.000 x z\n", - "(z)' = -2.666 z + 1.000 x y\n" - ] - } - ], - "source": [ - "feature_names = ['x', 'y', 'z']\n", - "model = ps.SINDy(feature_names=feature_names)\n", - "model.fit(x_train, t=dt)\n", - "model.print()" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Custom left-hand side when printing the model" - ] - }, - { - "cell_type": "code", - "execution_count": 44, - "metadata": { - "ExecuteTime": { - "end_time": "2020-10-22T22:20:46.987955Z", - "start_time": "2020-10-22T22:20:46.954105Z" - } - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "dx0/dt = -9.999 x0 + 9.999 x1\n", - "dx1/dt = 27.992 x0 + -0.999 x1 + -1.000 x0 x2\n", - "dx2/dt = -2.666 x2 + 1.000 x0 x1\n" - ] - } - ], - "source": [ - "model = ps.SINDy()\n", - "model.fit(x_train, t=dt)\n", - "model.print(lhs=['dx0/dt', 'dx1/dt', 'dx2/dt'])" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Customize polynomial library\n", - "Omit interaction terms between variables, such as $x_0 x_1$." - ] - }, - { - "cell_type": "code", - "execution_count": 45, - "metadata": { - "ExecuteTime": { - "end_time": "2020-10-22T22:20:47.030687Z", - "start_time": "2020-10-22T22:20:46.989999Z" - } - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "(x0)' = -9.999 x0 + 9.999 x1\n", - "(x1)' = -12.142 x0 + 9.349 x1\n", - "(x2)' = 85.861 1 + 0.567 x0 + -7.354 x2 + 1.366 x0^2\n" - ] - } - ], - "source": [ - "poly_library = ps.PolynomialLibrary(include_interaction=False)\n", - "\n", - "model = ps.SINDy(feature_library=poly_library, \n", - " optimizer=ps.STLSQ(threshold=0.5))\n", - "model.fit(x_train, t=dt)\n", - "model.print()" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Fourier library" - ] - }, - { - "cell_type": "code", - "execution_count": 46, - "metadata": { - "ExecuteTime": { - "end_time": "2020-10-22T22:20:47.116505Z", - "start_time": "2020-10-22T22:20:47.034412Z" - } - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "(x0)' = 6.201 cos(1 x1)\n", - "(x1)' = -4.233 cos(1 x0) + -4.817 sin(1 x2) + 7.787 cos(1 x2) + -5.604 cos(2 x0) + 4.630 cos(3 x0) + 4.569 sin(3 x2)\n", - "(x2)' = 4.982 sin(1 x0) + 4.768 sin(1 x1) + -13.709 cos(2 x1) + 4.674 sin(3 x1) + -8.713 cos(3 x1)\n" - ] - } - ], - "source": [ - "fourier_library = ps.FourierLibrary(n_frequencies=3)\n", - "\n", - "model = ps.SINDy(feature_library=fourier_library, \n", - " optimizer=ps.STLSQ(threshold=4))\n", - "model.fit(x_train, t=dt)\n", - "model.print()" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Fully custom library\n", - "The `CustomLibrary` class gives you the option to pass in function names to improve the readability of the printed model. Each function \"name\" should itself be a function." - ] - }, - { - "cell_type": "code", - "execution_count": 47, - "metadata": { - "ExecuteTime": { - "end_time": "2020-10-22T22:20:47.168456Z", - "start_time": "2020-10-22T22:20:47.119321Z" - } - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "(x0)' = -9.999 x0 + 9.999 x1\n", - "(x1)' = 1.197 1/x0 + -50.011 1/x2 + -12.462 x0 + 9.291 x1 + 0.383 x2 + 0.882 sin(x0,x1) + 1.984 sin(x0,x2) + -0.464 sin(x1,x2)\n", - "(x2)' = 0.874 1/x0 + -8.545 1/x2 + 0.114 x0 + 0.147 x1 + 3.659 sin(x0,x1) + -3.302 sin(x0,x2) + -3.094 sin(x1,x2)\n" - ] - } - ], - "source": [ - "library_functions = [\n", - " lambda x : np.exp(x),\n", - " lambda x : 1. / x,\n", - " lambda x : x,\n", - " lambda x,y : np.sin(x + y)\n", - "]\n", - "library_function_names = [\n", - " lambda x : 'exp(' + x + ')',\n", - " lambda x : '1/' + x,\n", - " lambda x : x,\n", - " lambda x,y : 'sin(' + x + ',' + y + ')'\n", - "]\n", - "custom_library = ps.CustomLibrary(\n", - " library_functions=library_functions, function_names=library_function_names\n", - ")\n", - "\n", - "model = ps.SINDy(feature_library=custom_library)\n", - "model.fit(x_train, t=dt, quiet=True)\n", - "model.print()" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Fully custom library, default function names\n", - "If no function names are given, default ones are given: `f0`, `f1`, ..." - ] - }, - { - "cell_type": "code", - "execution_count": 48, - "metadata": { - "ExecuteTime": { - "end_time": "2020-10-22T22:20:47.230682Z", - "start_time": "2020-10-22T22:20:47.171175Z" - } - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "(x0)' = -9.999 f2(x0) + 9.999 f2(x1)\n", - "(x1)' = 1.197 f1(x0) + -50.011 f1(x2) + -12.462 f2(x0) + 9.291 f2(x1) + 0.383 f2(x2) + 0.882 f3(x0,x1) + 1.984 f3(x0,x2) + -0.464 f3(x1,x2)\n", - "(x2)' = 0.874 f1(x0) + -8.545 f1(x2) + 0.114 f2(x0) + 0.147 f2(x1) + 3.659 f3(x0,x1) + -3.302 f3(x0,x2) + -3.094 f3(x1,x2)\n" - ] - } - ], - "source": [ - "library_functions = [\n", - " lambda x : np.exp(x),\n", - " lambda x : 1./x,\n", - " lambda x : x,\n", - " lambda x,y : np.sin(x+y)\n", - "]\n", - "custom_library = ps.CustomLibrary(library_functions=library_functions)\n", - "\n", - "model = ps.SINDy(feature_library=custom_library)\n", - "model.fit(x_train, t=dt, quiet=True)\n", - "model.print()" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Identity library\n", - "The `IdentityLibrary` leaves input data untouched. It allows the flexibility for users to apply custom transformations to the input data before feeding it into a `SINDy` model." - ] - }, - { - "cell_type": "code", - "execution_count": 49, - "metadata": { - "ExecuteTime": { - "end_time": "2020-10-22T22:20:47.261567Z", - "start_time": "2020-10-22T22:20:47.233639Z" - } - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "(x0)' = -9.999 x0 + 9.999 x1\n", - "(x1)' = -12.450 x0 + 9.314 x1 + 0.299 x2\n", - "(x2)' = 0.257 x0\n" - ] - } - ], - "source": [ - "identity_library = ps.IdentityLibrary()\n", - "\n", - "model = ps.SINDy(feature_library=identity_library)\n", - "model.fit(x_train, t=dt)\n", - "model.print()" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Concatenate two libraries\n", - "Two or more libraries can be combined via the `+` operator." - ] - }, - { - "cell_type": "code", - "execution_count": 50, - "metadata": { - "ExecuteTime": { - "end_time": "2020-10-22T22:20:47.334576Z", - "start_time": "2020-10-22T22:20:47.264641Z" - } - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "(x)' = -9.999 x + 9.999 y\n", - "(y)' = -12.512 x + 9.391 y + 0.302 z + -2.969 sin(1 x) + -3.341 cos(1 x) + -1.027 sin(1 y) + -6.675 cos(1 y) + -1.752 sin(1 z) + 3.392 cos(1 z)\n", - "(z)' = 0.120 x + 0.140 y + 5.950 sin(1 x) + 2.661 cos(1 x) + 7.917 sin(1 y) + -4.030 cos(1 y) + -1.238 sin(1 z) + -0.280 cos(1 z)\n" - ] - }, - { - "data": { - "text/plain": [ - "['x',\n", - " 'y',\n", - " 'z',\n", - " 'sin(1 x)',\n", - " 'cos(1 x)',\n", - " 'sin(1 y)',\n", - " 'cos(1 y)',\n", - " 'sin(1 z)',\n", - " 'cos(1 z)']" - ] - }, - "execution_count": 50, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "identity_library = ps.IdentityLibrary()\n", - "fourier_library = ps.FourierLibrary()\n", - "combined_library = identity_library + fourier_library\n", - "\n", - "model = ps.SINDy(feature_library=combined_library,\n", - " feature_names=feature_names)\n", - "model.fit(x_train, t=dt)\n", - "model.print()\n", - "model.get_feature_names()" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Tensor two libraries together\n", - "Two or more libraries can be tensored together via the `*` operator." - ] - }, - { - "cell_type": "code", - "execution_count": 51, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Feature names:\n", - " ['x sin(1 x)', 'x cos(1 x)', 'x sin(1 y)', 'x cos(1 y)', 'x sin(1 z)', 'x cos(1 z)', 'y sin(1 x)', 'y cos(1 x)', 'y sin(1 y)', 'y cos(1 y)', 'y sin(1 z)', 'y cos(1 z)', 'z sin(1 x)', 'z cos(1 x)', 'z sin(1 y)', 'z cos(1 y)', 'z sin(1 z)', 'z cos(1 z)', 'x^2 sin(1 x)', 'x^2 cos(1 x)', 'x^2 sin(1 y)', 'x^2 cos(1 y)', 'x^2 sin(1 z)', 'x^2 cos(1 z)', 'x y sin(1 x)', 'x y cos(1 x)', 'x y sin(1 y)', 'x y cos(1 y)', 'x y sin(1 z)', 'x y cos(1 z)', 'x z sin(1 x)', 'x z cos(1 x)', 'x z sin(1 y)', 'x z cos(1 y)', 'x z sin(1 z)', 'x z cos(1 z)', 'y^2 sin(1 x)', 'y^2 cos(1 x)', 'y^2 sin(1 y)', 'y^2 cos(1 y)', 'y^2 sin(1 z)', 'y^2 cos(1 z)', 'y z sin(1 x)', 'y z cos(1 x)', 'y z sin(1 y)', 'y z cos(1 y)', 'y z sin(1 z)', 'y z cos(1 z)', 'z^2 sin(1 x)', 'z^2 cos(1 x)', 'z^2 sin(1 y)', 'z^2 cos(1 y)', 'z^2 sin(1 z)', 'z^2 cos(1 z)']\n" - ] - } - ], - "source": [ - "identity_library = ps.PolynomialLibrary(include_bias=False)\n", - "fourier_library = ps.FourierLibrary()\n", - "combined_library = identity_library * fourier_library\n", - "\n", - "model = ps.SINDy(feature_library=combined_library,\n", - " feature_names=feature_names)\n", - "model.fit(x_train, t=dt)\n", - "# model.print() # prints out long and unobvious model\n", - "print(\"Feature names:\\n\", model.get_feature_names())" - ] - }, - { - "cell_type": "code", - "execution_count": 52, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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\n", - "text/plain": [ - "
" - ] - }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" - } - ], - "source": [ - "# the model prediction is quite bad of course \n", - "# because the library has mostly useless terms\n", - "x_dot_test_predicted = model.predict(x_test) \n", - "\n", - "# Compute derivatives with a finite difference method, for comparison\n", - "x_dot_test_computed = model.differentiate(x_test, t=dt)\n", - "\n", - "fig, axs = plt.subplots(x_test.shape[1], 1, sharex=True, figsize=(7, 9))\n", - "for i in range(x_test.shape[1]):\n", - " axs[i].plot(t_test, x_dot_test_computed[:, i],\n", - " 'k', label='numerical derivative')\n", - " axs[i].plot(t_test, x_dot_test_predicted[:, i],\n", - " 'r--', label='model prediction')\n", - " axs[i].legend()\n", - " axs[i].set(xlabel='t', ylabel='$\\dot x_{}$'.format(i))\n", - "fig.show()" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Generalized library\n", - "\n", - "Create the most general and flexible possible library by combining and tensoring as many libraries as you want, and you can even specify which input variables to use to generate each library! A much more advanced example is shown further below for PDEs.\n", - "One can specify:\n", - "
\n", - "1. N different libraries to add together\n", - "2. A list of inputs to use for each library. For two libraries with four inputs this would look like inputs_per_library = [[0, 1, 2, 3], [0, 1, 2, 3]] and to avoid using the first two input variables in the second library, you would change it to something like inputs_per_library = [[0, 1, 2, 3], [2, 2, 2, 3]], since duplicates are thrown out and [2, 2, 2, 3] will reduce to [2, 3]. \n", - " \n", - "3. A list of libraries to tensor together and add to the overall library. For four libraries, we could make three tensor libraries by using tensor_array = [[1, 0, 1, 1], [1, 1, 1, 1], [0, 0, 1, 1]]. The first sub-array takes the tensor product of libraries 0, 2, 3, the second takes the tensor product of all of them, and the last takes the tensor product of the libraries 2 and 3. This is a silly example since the [1, 1, 1, 1] tensor product already contains all the possible terms. \n", - "4. A list of library indices to exclude from the overall library. The first N libraries correspond to the input libraries and the subsequent indices correspond to the tensored libraries. For two libraries, exclude_libraries=[0,1] and tensor_array=[[1,1]] would result in a library consisting of only the tensor product.\n", - "
\n", - "
\n", - "Note that using this is a more advanced feature, but with the benefit that it allows any SINDy library you want.
" - ] - }, - { - "cell_type": "code", - "execution_count": 53, - "metadata": { - "scrolled": false - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "(x)' = -9.999 x + 9.999 y\n", - "(y)' = 27.992 x + -0.999 y + -1.000 x z\n", - "(z)' = -2.666 z + 1.000 x y\n", - "Feature names:\n", - " ['x', 'y', 'z', 'x^2', 'x y', 'x z', 'y^2', 'y z', 'z^2', 'x sin(1 y)', 'x cos(1 y)', 'x sin(1 z)', 'x cos(1 z)', 'y sin(1 y)', 'y cos(1 y)', 'y sin(1 z)', 'y cos(1 z)', 'z sin(1 y)', 'z cos(1 y)', 'z sin(1 z)', 'z cos(1 z)', 'x^2 sin(1 y)', 'x^2 cos(1 y)', 'x^2 sin(1 z)', 'x^2 cos(1 z)', 'x y sin(1 y)', 'x y cos(1 y)', 'x y sin(1 z)', 'x y cos(1 z)', 'x z sin(1 y)', 'x z cos(1 y)', 'x z sin(1 z)', 'x z cos(1 z)', 'y^2 sin(1 y)', 'y^2 cos(1 y)', 'y^2 sin(1 z)', 'y^2 cos(1 z)', 'y z sin(1 y)', 'y z cos(1 y)', 'y z sin(1 z)', 'y z cos(1 z)', 'z^2 sin(1 y)', 'z^2 cos(1 y)', 'z^2 sin(1 z)', 'z^2 cos(1 z)']\n" - ] - } - ], - "source": [ - "# Initialize two libraries\n", - "poly_library = ps.PolynomialLibrary(include_bias=False)\n", - "fourier_library = ps.FourierLibrary()\n", - "\n", - "# Initialize the default inputs, i.e. each library\n", - "# uses all the input variables\n", - "inputs_temp = np.tile([0, 1, 2], 2)\n", - "inputs_per_library = np.reshape(inputs_temp, (2, 3))\n", - "\n", - "# Don't use the x0 input for generating the Fourier library\n", - "inputs_per_library[1, 0] = 1\n", - "\n", - "# Tensor all the polynomial and Fourier library terms together\n", - "tensor_array = [[1, 1]]\n", - "\n", - "# Initialize this generalized library, all the work hidden from the user!\n", - "generalized_library = ps.GeneralizedLibrary([poly_library, fourier_library], \n", - " tensor_array=tensor_array, exclude_libraries=[1],\n", - " inputs_per_library=inputs_per_library)\n", - "\n", - "# Fit the model and print the library feature names to check success\n", - "model = ps.SINDy(feature_library=generalized_library, \n", - " feature_names=feature_names)\n", - "model.fit(x_train, t=dt)\n", - "model.print()\n", - "print(\"Feature names:\\n\", model.get_feature_names())" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## SINDy with control (SINDYc)\n", - "SINDy models with control inputs can also be learned. Here we learn a Lorenz control model:\n", - "$$ \\dot{x} = \\sigma (y - x) + u_0$$\n", - "$$ \\dot{y} = x(\\rho - z) - y $$\n", - "$$ \\dot{z} = x y - \\beta z - u_1$$" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Train the model" - ] - }, - { - "cell_type": "code", - "execution_count": 54, - "metadata": { - "ExecuteTime": { - "end_time": "2020-10-22T22:20:47.495234Z", - "start_time": "2020-10-22T22:20:47.367116Z" - } - }, - "outputs": [], - "source": [ - "# Control input\n", - "def u_fun(t):\n", - " return np.column_stack([np.sin(2 * t), t ** 2])\n", - "\n", - "# Generate measurement data\n", - "dt = .002\n", - "\n", - "t_train = np.arange(0, 10, dt)\n", - "t_train_span = (t_train[0], t_train[-1])\n", - "x0_train = [-8, 8, 27]\n", - "x_train = solve_ivp(lorenz_control, t_train_span, x0_train, \n", - " t_eval=t_train, args=(u_fun,), **integrator_keywords).y.T\n", - "u_train = u_fun(t_train)" - ] - }, - { - "cell_type": "code", - "execution_count": 55, - "metadata": { - "ExecuteTime": { - "end_time": "2020-10-22T22:20:47.527323Z", - "start_time": "2020-10-22T22:20:47.497165Z" - } - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "(x0)' = -9.999 x0 + 9.999 x1 + 0.999 u0\n", - "(x1)' = 27.988 x0 + -0.998 x1 + -1.000 x0 x2\n", - "(x2)' = -2.666 x2 + -1.000 u1 + 1.000 x0 x1\n" - ] - } - ], - "source": [ - "# Instantiate and fit the SINDYc model\n", - "model = ps.SINDy()\n", - "model.fit(x_train, u=u_train, t=dt)\n", - "model.print()" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Assess results on a test trajectory" - ] - }, - { - "cell_type": "code", - "execution_count": 56, - "metadata": { - "ExecuteTime": { - "end_time": "2020-10-22T22:20:47.700551Z", - "start_time": "2020-10-22T22:20:47.530536Z" - } - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Model score: 1.000000\n" - ] - } - ], - "source": [ - "# Evolve the Lorenz equations in time using a different initial condition\n", - "t_test = np.arange(0, 15, dt)\n", - "t_test_span = (t_test[0], t_test[-1])\n", - "u_test = u_fun(t_test)\n", - "x0_test = np.array([8, 7, 15])\n", - "x_test = solve_ivp(lorenz_control, t_test_span, x0_test, \n", - " t_eval=t_test, args=(u_fun,), **integrator_keywords).y.T\n", - "u_test = u_fun(t_test)\n", - "\n", - "# Compare SINDy-predicted derivatives with finite difference derivatives\n", - "print('Model score: %f' % model.score(x_test, u=u_test, t=dt))" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Predict derivatives with learned model" - ] - }, - { - "cell_type": "code", - "execution_count": 57, - "metadata": { - "ExecuteTime": { - "end_time": "2020-10-22T22:20:48.459184Z", - "start_time": "2020-10-22T22:20:47.703317Z" - } - }, - "outputs": [ - { - "data": { - "image/png": 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\n", - "text/plain": [ - "
" - ] - }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" - } - ], - "source": [ - "# Predict derivatives using the learned model\n", - "x_dot_test_predicted = model.predict(x_test, u=u_test) \n", - "\n", - "# Compute derivatives with a finite difference method, for comparison\n", - "x_dot_test_computed = model.differentiate(x_test, t=dt)\n", - "\n", - "fig, axs = plt.subplots(x_test.shape[1], 1, sharex=True, figsize=(7, 9))\n", - "for i in range(x_test.shape[1]):\n", - " axs[i].plot(t_test, x_dot_test_computed[:, i],\n", - " 'k', label='numerical derivative')\n", - " axs[i].plot(t_test, x_dot_test_predicted[:, i],\n", - " 'r--', label='model prediction')\n", - " axs[i].legend()\n", - " axs[i].set(xlabel='t', ylabel='$\\dot x_{}$'.format(i))\n", - "fig.show()" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Simulate forward in time (control input function known)\n", - "When working with control inputs `SINDy.simulate` requires a *function* to be passed in for the control inputs, `u`, because the default integrator used in `SINDy.simulate` uses adaptive time-stepping. We show what to do in the case when you do not know the functional form for the control inputs in the example following this one." - ] - }, - { - "cell_type": "code", - "execution_count": 58, - "metadata": { - "ExecuteTime": { - "end_time": "2020-10-22T22:20:51.769799Z", - "start_time": "2020-10-22T22:20:48.460707Z" - } - }, - "outputs": [ - { - "data": { - "image/png": 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\n", 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\n", - "text/plain": [ - "
" - ] - }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" - } - ], - "source": [ - "# Evolve the new initial condition in time with the SINDy model\n", - "x_test_sim = model.simulate(x0_test, t_test, u=u_fun)\n", - "\n", - "fig, axs = plt.subplots(x_test.shape[1], 1, sharex=True, figsize=(7, 9))\n", - "for i in range(x_test.shape[1]):\n", - " axs[i].plot(t_test, x_test[:, i], 'k', label='true simulation')\n", - " axs[i].plot(t_test, x_test_sim[:, i], 'r--', label='model simulation')\n", - " axs[i].legend()\n", - " axs[i].set(xlabel='t', ylabel='$x_{}$'.format(i))\n", - "\n", - "fig = plt.figure(figsize=(10, 4.5))\n", - "ax1 = fig.add_subplot(121, projection='3d')\n", - "ax1.plot(x_test[:, 0], x_test[:, 1], x_test[:, 2], 'k')\n", - "ax1.set(xlabel='$x_0$', ylabel='$x_1$',\n", - " zlabel='$x_2$', title='true simulation')\n", - "\n", - "ax2 = fig.add_subplot(122, projection='3d')\n", - "ax2.plot(x_test_sim[:, 0], x_test_sim[:, 1], x_test_sim[:, 2], 'r--')\n", - "ax2.set(xlabel='$x_0$', ylabel='$x_1$',\n", - " zlabel='$x_2$', title='model simulation')\n", - "\n", - "fig.show()" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Simulate forward in time (unknown control input function)\n", - "If you only have a vector of control input values at the times in `t_test` and do not know the functional form for `u`, the `simulate` function will internally form an interpolating function based on the vector of control inputs. As a consequence of this interpolation procedure, `simulate` will not give a state estimate for the last time point in `t_test`. This is because the default integrator, `scipy.integrate.solve_ivp` (with LSODA as the default solver), is adaptive and sometimes attempts to evaluate the interpolant outside the domain of interpolation, causing an error." - ] - }, - { - "cell_type": "code", - "execution_count": 59, - "metadata": { - "ExecuteTime": { - "end_time": "2020-10-22T22:20:51.775131Z", - "start_time": "2020-10-22T22:20:51.772119Z" - } - }, - "outputs": [], - "source": [ - "u_test = u_fun(t_test)" - ] - }, - { - "cell_type": "code", - "execution_count": 60, - "metadata": { - "ExecuteTime": { - "end_time": "2020-10-22T22:20:55.799799Z", - "start_time": "2020-10-22T22:20:51.776599Z" - }, - "scrolled": false - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Length of t_test: 7500\n", - "Length of simulation: 7499\n" - ] - }, - { - "data": { - "image/png": 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\n", 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" - ] - }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" - } - ], - "source": [ - "x_test_sim = model.simulate(x0_test, t_test, u=u_test)\n", - "\n", - "# Note that the output is one example short of the length of t_test\n", - "print('Length of t_test:', len(t_test))\n", - "print('Length of simulation:', len(x_test_sim))\n", - "\n", - "fig, axs = plt.subplots(x_test.shape[1], 1, sharex=True, figsize=(12, 4))\n", - "for i in range(x_test.shape[1]):\n", - " axs[i].plot(t_test[:-1], x_test[:-1, i], 'k', label='true simulation')\n", - " axs[i].plot(t_test[:-1], x_test_sim[:, i], 'r--', label='model simulation')\n", - " axs[i].set(xlabel='t', ylabel='$x_{}$'.format(i))\n", - "\n", - "fig.show()" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Implicit ODEs \n", - "How would we use SINDy to solve an implicit ODE? In other words, now the LHS can depend on x and x_dot, \n", - "$$\\dot{\\mathbf{x}} = \\mathbf{f}(\\mathbf{x}, \\dot{\\mathbf{x}})$$\n", - "\n", - "\n", - "In order to deal with this, we need a library $\\Theta(\\mathbf{x}, \\dot{\\mathbf{x}})$. SINDy parallel implicit (SINDy-PI) is geared to solve these problems. It solves the optimization problem,\n", - "$$argmin_\\mathbf{\\Xi} (\\|\\Theta(\\mathbf{X}, \\dot{\\mathbf{X}}) - \\Theta(\\mathbf{X}, \\dot{\\mathbf{X}})\\mathbf{\\Xi}\\| + \\lambda \\|\\mathbf{\\Xi}\\|_1)$$\n", - "such that diag$(\\mathbf{\\Xi}) = 0$. So for every candidate library term it generates a different model. With N state variables, we need to choose N of the equations to solve for the system evolution. See the [SINDy-PI notebook](https://github.com/dynamicslab/pysindy/blob/master/examples/9_sindypi_with_sympy.ipynb) for more details. \n", - "\n", - "Here we illustrate successful identification of the 1D Michelson-Menten enzyme model\n", - "$$\\dot{x} = 0.6 - \\frac{1.5 x}{0.3 + x}.$$\n", - "Or, equivalently\n", - "$$\\dot{x} = 0.6 - 3 x - \\frac{10}{3} x\\dot{x}.$$\n", - "\n", - "Note that some of the model fits fail. This is usually because the LHS term being fitted is a poor match to the data, but this error can also be caused by CVXPY not liking the parameters passed to the solver.\n" - ] - }, - { - "cell_type": "code", - "execution_count": 61, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Model 0\n", - "Model 1\n", - "Model 2\n", - "Model 3\n", - "Solver failed on model 3 , setting coefs to zeros\n", - "Model 4\n", - "Model 5\n", - "Model 6\n", - "Model 7\n", - "Model 8\n", - "Model 9\n", - "1 = 5.000 x0 + 1.667 x0_dot + 5.556 x0x0_dot\n", - "x0 = 0.200 1 + -0.333 x0_dot + -1.111 x0x0_dot\n", - "x0x0 = 0.198 x0 + 0.007 x0x0x0 + -0.338 x0x0_dot + -1.099 x0x0x0_dot\n", - "x0x0x0 = 0.000\n", - "x0x0x0x0 = -0.001 1 + 0.363 x0x0x0 + 0.041 x0x0_dot + -1.205 x0x0x0x0x0_dot\n", - "x0_dot = 0.600 1 + -3.000 x0 + -3.333 x0x0_dot\n", - "x0x0_dot = 0.180 1 + -0.900 x0 + -0.300 x0_dot\n", - "x0x0x0_dot = -0.004 1 + 0.136 x0 + -0.508 x0x0 + -0.344 x0x0x0 + -0.102 x0x0_dot + -0.219 x0x0x0x0x0_dot\n", - "x0x0x0x0_dot = 0.003 1 + 0.001 x0 + -0.391 x0x0x0 + -0.247 x0x0x0x0 + -0.108 x0x0_dot\n", - "x0x0x0x0x0_dot = 0.001 1 + -0.670 x0x0x0x0 + -0.005 x0_dot + 0.029 x0x0_dot + -0.271 x0x0x0_dot\n" - ] - } - ], - "source": [ - "if run_cvxpy:\n", - " # define parameters\n", - " r = 1\n", - " dt = 0.001\n", - " T = 4\n", - " t = np.arange(0, T + dt, dt)\n", - " t_span = (t[0], t[-1])\n", - " x0_train = [0.55]\n", - " x_train = solve_ivp(enzyme, t_span, x0_train, \n", - " t_eval=t, **integrator_keywords).y.T\n", - "\n", - " # Initialize custom SINDy library so that we can have \n", - " # x_dot inside it. \n", - " x_library_functions = [\n", - " lambda x: x,\n", - " lambda x, y: x * y,\n", - " lambda x: x ** 2,\n", - " lambda x, y, z: x * y * z,\n", - " lambda x, y: x * y ** 2,\n", - " lambda x: x ** 3,\n", - " lambda x, y, z, w: x * y * z * w,\n", - " lambda x, y, z: x * y * z ** 2,\n", - " lambda x, y: x * y ** 3,\n", - " lambda x: x ** 4,\n", - " ]\n", - " x_dot_library_functions = [lambda x: x]\n", - "\n", - " # library function names includes both the x_library_functions \n", - " # and x_dot_library_functions names\n", - " library_function_names = [\n", - " lambda x: x,\n", - " lambda x, y: x + y,\n", - " lambda x: x + x,\n", - " lambda x, y, z: x + y + z,\n", - " lambda x, y: x + y + y,\n", - " lambda x: x + x + x,\n", - " lambda x, y, z, w: x + y + z + w,\n", - " lambda x, y, z: x + y + z + z,\n", - " lambda x, y: x + y + y + y,\n", - " lambda x: x + x + x + x,\n", - " lambda x: x,\n", - " ]\n", - "\n", - " # Need to pass time base to the library so can build the x_dot library from x\n", - " sindy_library = ps.SINDyPILibrary(\n", - " library_functions=x_library_functions,\n", - " x_dot_library_functions=x_dot_library_functions,\n", - " t=t,\n", - " function_names=library_function_names,\n", - " include_bias=True,\n", - " )\n", - "\n", - " # Use the SINDy-PI optimizer, which relies on CVXPY.\n", - " # Note that if LHS of the equation fits the data poorly,\n", - " # CVXPY often returns failure.\n", - " sindy_opt = ps.SINDyPI(\n", - " threshold=1e-6,\n", - " tol=1e-8,\n", - " thresholder=\"l1\",\n", - " max_iter=20000,\n", - " )\n", - " model = ps.SINDy(\n", - " optimizer=sindy_opt,\n", - " feature_library=sindy_library,\n", - " differentiation_method=ps.FiniteDifference(drop_endpoints=True),\n", - " )\n", - " model.fit(x_train, t=t)\n", - " model.print()" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "# SINDy with control parameters (SINDyCP)\n", - "The control input in PySINDy can be used to discover equations parameterized by control parameters in conjunction with the `ParameterizedLibrary`. We demonstrate on the logistic map\n", - "$$ x_{n+1} = r x_n(1-x_n)$$\n", - "which depends on a single parameter $r$. " - ] - }, - { - "cell_type": "code", - "execution_count": 62, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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\n", 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" - ] - }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" - } - ], - "source": [ - "#Iterate the map and drop the initial 500-step transient. The behavior is chaotic for r>3.6.\n", - "num = 1000\n", - "N = 1000\n", - "N_drop = 500\n", - "r0 = 3.5\n", - "rs = r0 + np.arange(num) / num * (4 - r0)\n", - "xss = []\n", - "for r in rs:\n", - " xs = []\n", - " x = 0.5\n", - " for n in range(N + N_drop):\n", - " if n >= N_drop:\n", - " xs = xs + [x]\n", - " x = r * x * (1 - x)\n", - " xss = xss + [xs]\n", - "\n", - "plt.figure(figsize=(4, 4),dpi=100)\n", - "for ind in range(num):\n", - " plt.plot(np.ones(N) * rs[ind], xss[ind], \",\", alpha=0.1, c=\"black\", rasterized=True)\n", - "plt.xlabel(\"$r$\")\n", - "plt.ylabel(\"$x_n$\")\n", - "plt.show()" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "We construct a `parameter_library` and a `feature_library` to act on the input data `x` and the control input `u` independently. The `ParameterizedLibrary` is composed of products of the two libraries output features. This enables fine control over the library features, which is especially useful in the case of PDEs like those arising in pattern formation modeling. See this [notebook](https://github.com/dynamicslab/pysindy/blob/master/examples/17_parameterized_pattern_formation/17_parameterized_pattern_formation.ipynb) for examples." - ] - }, - { - "cell_type": "code", - "execution_count": 63, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "(x)[k+1] = 1.000 r[k] x[k] + -1.000 r[k] x[k]^2\n" - ] - } - ], - "source": [ - "#use four parameter values as training data\n", - "rs_train = [3.6, 3.7, 3.8, 3.9]\n", - "xs_train=[np.array(xss[np.where(np.array(rs)==r)[0][0]]) for r in rs_train]\n", - "\n", - "feature_lib = ps.PolynomialLibrary(degree=3, include_bias=True)\n", - "parameter_lib = ps.PolynomialLibrary(degree=1, include_bias=True)\n", - "lib = ps.ParameterizedLibrary(\n", - " feature_library=feature_lib,\n", - " parameter_library=parameter_lib,\n", - " num_features=1,\n", - " num_parameters=1,\n", - ")\n", - "opt = ps.STLSQ(threshold=1e-1, normalize_columns=False)\n", - "model = ps.SINDy(\n", - " feature_library=lib, optimizer=opt, feature_names=[\"x\", \"r\"], discrete_time=True\n", - ")\n", - "model.fit(xs_train, u=rs_train, multiple_trajectories=True)\n", - "model.print()" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "# PDEFIND Feature Overview\n", - "PySINDy now supports SINDy for PDE identification (PDE-FIND) (Rudy, Samuel H., Steven L. Brunton, Joshua L. Proctor, and J. Nathan Kutz. \"Data-driven discovery of partial differential equations.\" Science Advances 3, no. 4 (2017): e1602614.). We illustrate a basic example on Burgers' equation:\n", - "$$u_t = -uu_x + 0.1u_{xx}$$\n", - "\n", - "Note that for noisy PDE data, the most robust method is to use the weak form of PDEFIND (see below)!" - ] - }, - { - "cell_type": "code", - "execution_count": 65, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "(x0)' = 0.100 x0_11 + -1.001 x0x0_1\n" - ] - }, - { - "data": { - "image/png": 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\n", 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\n", 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" - ] - }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" - } - ], - "source": [ - "from scipy.io import loadmat\n", - "\n", - "# Load data\n", - "data = loadmat(\"data/burgers.mat\")\n", - "t = np.ravel(data[\"t\"])\n", - "x = np.ravel(data[\"x\"])\n", - "u = np.real(data[\"usol\"])\n", - "dt = t[1] - t[0]\n", - "dx = x[1] - x[0]\n", - "u_dot = ps.FiniteDifference(axis=-1)._differentiate(u, t=dt)\n", - "\n", - "# Plot the spatiotemporal data\n", - "plt.figure()\n", - "plt.imshow(u, aspect=\"auto\")\n", - "plt.colorbar()\n", - "plt.figure()\n", - "plt.imshow(u_dot, aspect=\"auto\")\n", - "plt.colorbar()\n", - "u = np.reshape(u, (len(x), len(t), 1))\n", - "\n", - "# Define quadratic library with up to third order derivatives \n", - "# on a uniform spatial grid\n", - "library_functions = [lambda x: x, lambda x: x * x]\n", - "library_function_names = [lambda x: x, lambda x: x + x]\n", - "pde_lib = ps.PDELibrary(\n", - " library_functions=library_functions,\n", - " function_names=library_function_names,\n", - " derivative_order=3,\n", - " spatial_grid=x,\n", - " diff_kwargs={'is_uniform':True,'periodic':True},\n", - ")\n", - "\n", - "optimizer = ps.STLSQ(threshold=0.1, alpha=1e-5, normalize_columns=True)\n", - "model = ps.SINDy(feature_library=pde_lib, optimizer=optimizer)\n", - "# Note that the dimensions of u are reshaped internally,\n", - "# according to the dimensions in spatial_grid\n", - "model.fit(u, t=dt)\n", - "model.print()" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Weak formulation system identification improves robustness to noise.\n", - "PySINDy also supports weak form PDE identification following Reinbold et al. (2019)." - ] - }, - { - "cell_type": "code", - "execution_count": 66, - "metadata": {}, - "outputs": [], - "source": [ - "# Same library but using the weak formulation\n", - "library_functions = [lambda x: x, lambda x: x * x]\n", - "library_function_names = [lambda x: x, lambda x: x + x]\n", - "X, T = np.meshgrid(x, t)\n", - "XT = np.array([X, T]).T\n", - "pde_lib = ps.WeakPDELibrary(\n", - " library_functions=library_functions,\n", - " function_names=library_function_names,\n", - " derivative_order=3,\n", - " spatiotemporal_grid=XT,\n", - " is_uniform=True,\n", - ")" - ] - }, - { - "cell_type": "code", - "execution_count": 67, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "(x0)' = 0.101 x0_11 + -1.003 x0x0_1\n" - ] - } - ], - "source": [ - "optimizer = ps.STLSQ(threshold=0.01, alpha=1e-5, normalize_columns=True)\n", - "model = ps.SINDy(feature_library=pde_lib, optimizer=optimizer)\n", - "\n", - "# Note that reshaping u is done internally\n", - "model.fit(u, t=dt)\n", - "model.print()" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### GeneralizedLibrary\n", - "The `GeneralizedLibrary` is meant for identifying ODEs/PDEs the depend on the spatial and/or temporal coordinates and/or nonlinear functions of derivative terms.\n", - "\n", - "Often, especially for PDEs, there is some explicit spatiotemporal dependence such as through an external potential. For instance, a well known PDE is the Poisson equation for the electric potential in 2D:\n", - "$$ (\\partial_{xx} + \\partial_{yy})\\phi(x, y) = \\rho(x,y).$$\n", - "\n", - "\n", - "**Note that all other SINDy libraries implemented in PySINDy only allow for functions of $\\phi(x, y)$ on the RHS of the SINDy equation.** This method allows for functions of the spatial and temporal coordinates like $\\rho(x, y)$, as well as anything else you can imagine.\n", - "\n", - "Let's suppose we have a distribution like the following\n", - "$$ \\rho(x, y) = x^2 + y^2$$\n", - "We can actually directly input $(\\partial_{xx} + \\partial_{yy})\\phi(x, y)$ as \"x_dot\" in the SINDy fit, functionally replacing the normal left-hand-side (LHS) of the SINDy equation. Then we can build a candidate library of terms to discover the correct charge density matching this data.\n", - "\n", - "In the following, we will build three different libraries, each using their own subset of inputs, tensor a subset of them together, and fit a model. This is total overkill for this problem but hopefully is illustrative." - ] - }, - { - "cell_type": "code", - "execution_count": 68, - "metadata": { - "scrolled": true - }, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "(x0)' = 1.045 x1^2 + 1.061 x2^2\n", - "(x1)' = 1.000 x1\n", - "(x2)' = 1.000 x2\n" - ] - }, - { - "data": { - "image/png": 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" - ] - }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" - } - ], - "source": [ - "# Define the spatial grid\n", - "nx = 50\n", - "Lx = 1\n", - "ny = 100\n", - "Ly = 1\n", - "x = np.linspace(0, Lx, nx)\n", - "dx = x[1] - x[0]\n", - "y = np.linspace(0, Ly, ny)\n", - "dy = y[1] - y[0]\n", - "X, Y = np.meshgrid(x, y, indexing=\"ij\")\n", - "\n", - "# Define rho\n", - "rho = X ** 2 + Y ** 2\n", - "plt.figure(figsize=(20, 3))\n", - "plt.subplot(1, 5, 1)\n", - "plt.imshow(rho, aspect=\"auto\", origin=\"lower\")\n", - "plt.title(r\"$\\rho(x, y)$\")\n", - "plt.colorbar()\n", - "\n", - "# Generate the PDE data for phi by fourier transforms \n", - "# since this is homogenous PDE\n", - "# and we assume periodic boundary conditions\n", - "nx2 = int(nx / 2)\n", - "ny2 = int(ny / 2)\n", - "# Define Fourier wavevectors (kx, ky)\n", - "kx = (2 * np.pi / Lx) * np.hstack(\n", - " (np.linspace(0, nx2 - 1, nx2), np.linspace(-nx2, -1, nx2))\n", - ")\n", - "ky = (2 * np.pi / Ly) * np.hstack(\n", - " (np.linspace(0, ny2 - 1, ny2), np.linspace(-ny2, -1, ny2))\n", - ")\n", - "\n", - "# Get 2D mesh in (kx, ky)\n", - "KX, KY = np.meshgrid(kx, ky, indexing=\"ij\")\n", - "K2 = KX ** 2 + KY ** 2\n", - "K2[0, 0] = 1e-5\n", - "\n", - "# Generate phi data by solving the PDE and plot results\n", - "phi = np.real(np.fft.ifft2(-np.fft.fft2(rho) / K2))\n", - "plt.subplot(1, 5, 2)\n", - "plt.imshow(phi, aspect=\"auto\", origin=\"lower\")\n", - "plt.title(r\"$\\phi(x, y)$\")\n", - "plt.colorbar()\n", - "\n", - "# Make del^2 phi and plot various quantities\n", - "phi_xx = ps.FiniteDifference(d=2, axis=0)._differentiate(phi, dx)\n", - "phi_yy = ps.FiniteDifference(d=2, axis=1)._differentiate(phi, dy)\n", - "plt.subplot(1, 5, 3)\n", - "plt.imshow(phi_xx, aspect=\"auto\", origin=\"lower\")\n", - "plt.title(r\"$\\phi_{xx}(x, y)$\")\n", - "plt.subplot(1, 5, 4)\n", - "plt.imshow(phi_yy, aspect=\"auto\", origin=\"lower\")\n", - "plt.title(r\"$\\phi_{yy}(x, y)$\")\n", - "plt.subplot(1, 5, 5)\n", - "plt.imshow(\n", - " phi_xx + phi_yy + abs(np.min(phi_xx + phi_yy)),\n", - " aspect=\"auto\",\n", - " origin=\"lower\",\n", - ")\n", - "plt.title(r\"$\\phi_{xx}(x, y) + \\phi_{yy}(x, y)$\")\n", - "plt.colorbar()\n", - "\n", - "# Define a PolynomialLibrary, FourierLibrary, and PDELibrary\n", - "poly_library = ps.PolynomialLibrary(include_bias=False)\n", - "fourier_library = ps.FourierLibrary()\n", - "X_mesh, Y_mesh = np.meshgrid(x, y)\n", - "pde_library = ps.PDELibrary(\n", - " derivative_order=1, \n", - " spatial_grid=np.asarray([X_mesh, Y_mesh]).T\n", - ")\n", - "\n", - "# Inputs are going to be all the variables [phi, X, Y].\n", - "# Remember we can use a subset of these input variables to generate each library\n", - "data = np.transpose(np.asarray([phi, X, Y]), [1, 2, 0])\n", - "\n", - "# The 'x_dot' terms will be [phi_xx, X, Y]\n", - "# Remember these are the things that are being fit in the SINDy regression\n", - "Laplacian_phi = phi_xx + phi_yy + abs(np.min(phi_xx + phi_yy))\n", - "data_dot = np.transpose(np.asarray([Laplacian_phi, X, Y]), [1, 2, 0])\n", - "\n", - "# Tensor polynomial library with the PDE library\n", - "tensor_array = [[1, 0, 1]]\n", - "\n", - "# Remove X and Y from PDE library terms because why would we take these derivatives\n", - "inputs_temp = np.tile([0, 1, 2], 3)\n", - "inputs_per_library = np.reshape(inputs_temp, (3, 3))\n", - "inputs_per_library[2, 1] = 0\n", - "inputs_per_library[2, 2] = 0\n", - "\n", - "# Fit a generalized library of 3 feature libraries + 1 internally \n", - "# generated tensored library and only use the input variable phi \n", - "# for the PDELibrary. Note that this holds true both for the \n", - "# individual PDELibrary and any tensored libraries constructed from it.\n", - "generalized_library = ps.GeneralizedLibrary(\n", - " [poly_library, fourier_library, pde_library],\n", - " tensor_array=tensor_array,\n", - " inputs_per_library=inputs_per_library,\n", - ")\n", - "optimizer = ps.STLSQ(threshold=8,alpha=1e-3, normalize_columns=True)\n", - "model = ps.SINDy(feature_library=generalized_library, optimizer=optimizer)\n", - "model.fit(data, x_dot=data_dot)\n", - "\n", - "# Note scale of phi is large so some coefficients >> 1\n", - "# --> would want to rescale phi with eps_0 for a harder problem\n", - "model.print()" - ] - }, - { - "cell_type": "code", - "execution_count": 69, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "Feature names:\n", - " ['x0', 'x1', 'x2', 'x0^2', 'x0 x1', 'x0 x2', 'x1^2', 'x1 x2', 'x2^2', 'sin(1 x0)', 'cos(1 x0)', 'sin(1 x1)', 'cos(1 x1)', 'sin(1 x2)', 'cos(1 x2)', 'x0_2', 'x0_1', 'x0 x0_2', 'x0 x0_1', 'x1 x0_2', 'x1 x0_1', 'x2 x0_2', 'x2 x0_1', 'x0^2 x0_2', 'x0^2 x0_1', 'x0 x1 x0_2', 'x0 x1 x0_1', 'x0 x2 x0_2', 'x0 x2 x0_1', 'x1^2 x0_2', 'x1^2 x0_1', 'x1 x2 x0_2', 'x1 x2 x0_1', 'x2^2 x0_2', 'x2^2 x0_1']\n" - ] - }, - { - "data": { - "image/png": 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" - ] - }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" - } - ], - "source": [ - "# Get prediction of rho and plot results\n", - "#predict expects a time axis...so add one and ignore it...\n", - "data_shaped=data.reshape((data.shape[0],data.shape[1],1,data.shape[2]))\n", - "rho_pred = model.predict(data_shaped)[:,:,0,:]\n", - "plt.figure(figsize=(16, 4))\n", - "plt.subplot(1, 3, 1)\n", - "plt.title(r'True $\\rho$')\n", - "plt.imshow(rho, aspect='auto', origin='lower')\n", - "plt.colorbar()\n", - "plt.subplot(1, 3, 2)\n", - "plt.title(r'Predicted $\\rho_p$')\n", - "plt.imshow(rho_pred[:, :, 0], aspect='auto', origin='lower')\n", - "plt.colorbar()\n", - "plt.subplot(1, 3, 3)\n", - "plt.title(r'Residual errors $\\rho - \\rho_p$')\n", - "plt.imshow(rho - rho_pred[:, :, 0], aspect='auto', origin='lower')\n", - "plt.colorbar()\n", - "print(\"Feature names:\\n\", model.get_feature_names())" - ] - } - ], - "metadata": { - "kernelspec": { - "display_name": "Python 3", - "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": "3.7.4" - }, - "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": { - "height": "calc(100% - 180px)", - "left": "10px", - "top": "150px", - "width": "296.475px" - }, - "toc_section_display": true, - "toc_window_display": true - }, - "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": 2 -} diff --git a/examples/1_feature_overview/example.ipynb b/examples/1_feature_overview/example.ipynb new file mode 100644 index 000000000..5879e5a25 --- /dev/null +++ b/examples/1_feature_overview/example.ipynb @@ -0,0 +1,3514 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "id": "5ad7f790", + "metadata": { + "lines_to_next_cell": 0 + }, + "source": [ + "# Feature Overview\n", + "\n", + "This notebook provides a simple overview of the basic functionality of PySINDy. In addition to demonstrating the basic usage for fitting a SINDy model, we demonstrate several means of customizing the SINDy fitting procedure. These include different forms of input data, different optimization methods, different differentiation methods, and custom feature libraries.\n", + "\n", + "An interactive version of this notebook is available on binder." + ] + }, + { + "cell_type": "markdown", + "id": "b1ec6f40", + "metadata": { + "lines_to_next_cell": 0 + }, + "source": [ + "[![Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/dynamicslab/pysindy/v1.7.3?filepath=examples/1_feature_overview.ipynb)" + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "id": "2338df7a", + "metadata": { + "execution": { + "iopub.execute_input": "2023-07-25T20:44:58.675139Z", + "iopub.status.busy": "2023-07-25T20:44:58.673653Z", + "iopub.status.idle": "2023-07-25T20:44:59.906931Z", + "shell.execute_reply": "2023-07-25T20:44:59.906126Z" + }, + "lines_to_next_cell": 0 + }, + "outputs": [], + "source": [ + "import warnings\n", + "from contextlib import contextmanager\n", + "from copy import copy\n", + "from pathlib import Path\n", + "\n", + "import matplotlib.pyplot as plt\n", + "import numpy as np\n", + "from scipy.integrate import solve_ivp\n", + "from scipy.linalg import LinAlgWarning\n", + "from sklearn.exceptions import ConvergenceWarning\n", + "from sklearn.linear_model import Lasso\n", + "\n", + "import pysindy as ps\n", + "from pysindy.utils import enzyme\n", + "from pysindy.utils import lorenz\n", + "from pysindy.utils import lorenz_control\n", + "\n", + "if __name__ != \"testing\":\n", + " t_end_train = 10\n", + " t_end_test = 15\n", + "else:\n", + " t_end_train = 0.04\n", + " t_end_test = 0.04\n", + "\n", + "data = (Path() / \"../data\").resolve()\n", + "\n", + "\n", + "@contextmanager\n", + "def ignore_specific_warnings():\n", + " filters = copy(warnings.filters)\n", + " warnings.filterwarnings(\"ignore\", category=ConvergenceWarning)\n", + " warnings.filterwarnings(\"ignore\", category=LinAlgWarning)\n", + " warnings.filterwarnings(\"ignore\", category=UserWarning)\n", + " yield\n", + " warnings.filters = filters\n", + "\n", + "\n", + "if __name__ == \"testing\":\n", + " import sys\n", + " import os\n", + "\n", + " sys.stdout = open(os.devnull, \"w\")" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "id": "6a8670dc", + "metadata": { + "execution": { + "iopub.execute_input": "2023-07-25T20:44:59.909510Z", + "iopub.status.busy": "2023-07-25T20:44:59.909177Z", + "iopub.status.idle": "2023-07-25T20:44:59.912584Z", + "shell.execute_reply": "2023-07-25T20:44:59.912010Z" + } + }, + "outputs": [], + "source": [ + "# Seed the random number generators for reproducibility\n", + "np.random.seed(100)" + ] + }, + { + "cell_type": "markdown", + "id": "6563b296", + "metadata": {}, + "source": [ + "### A note on solve_ivp vs odeint before we continue\n", + "The default solver for `solve_ivp` is a Runga-Kutta method (RK45) but this seems to work quite poorly on a number of these examples, likely because they are multi-scale and chaotic. Instead, the LSODA method seems to perform quite well (ironically this is the default for the older `odeint` method). This is a nice reminder that system identification is important to get the right model, but a good integrator is still needed at the end!" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "id": "440b4cd6", + "metadata": { + "execution": { + "iopub.execute_input": "2023-07-25T20:44:59.914876Z", + "iopub.status.busy": "2023-07-25T20:44:59.914637Z", + "iopub.status.idle": "2023-07-25T20:44:59.917912Z", + "shell.execute_reply": "2023-07-25T20:44:59.917300Z" + } + }, + "outputs": [], + "source": [ + "# Initialize integrator keywords for solve_ivp to replicate the odeint defaults\n", + "integrator_keywords = {}\n", + "integrator_keywords[\"rtol\"] = 1e-12\n", + "integrator_keywords[\"method\"] = \"LSODA\"\n", + "integrator_keywords[\"atol\"] = 1e-12" + ] + }, + { + "cell_type": "markdown", + "id": "edf7c8de", + "metadata": {}, + "source": [ + "## Basic usage\n", + "We will fit a SINDy model to the famous Lorenz system:\n", + "$$ \\dot{x} = \\sigma (y - x),$$\n", + "$$ \\dot{y} = x(\\rho - z) - y, $$\n", + "$$ \\dot{z} = x y - \\beta z. $$\n" + ] + }, + { + "cell_type": "markdown", + "id": "ec0c9c65", + "metadata": {}, + "source": [ + "### Train the model" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "id": "36407798", + "metadata": { + "execution": { + "iopub.execute_input": "2023-07-25T20:44:59.920255Z", + "iopub.status.busy": "2023-07-25T20:44:59.920058Z", + "iopub.status.idle": "2023-07-25T20:45:00.061739Z", + "shell.execute_reply": "2023-07-25T20:45:00.061043Z" + } + }, + "outputs": [], + "source": [ + "# Generate measurement data\n", + "dt = 0.002\n", + "\n", + "t_train = np.arange(0, t_end_train, dt)\n", + "x0_train = [-8, 8, 27]\n", + "t_train_span = (t_train[0], t_train[-1])\n", + "x_train = solve_ivp(\n", + " lorenz, t_train_span, x0_train, t_eval=t_train, **integrator_keywords\n", + ").y.T" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "id": "e48f09c4", + "metadata": { + "execution": { + "iopub.execute_input": "2023-07-25T20:45:00.064545Z", + "iopub.status.busy": "2023-07-25T20:45:00.064289Z", + "iopub.status.idle": "2023-07-25T20:45:00.089003Z", + "shell.execute_reply": "2023-07-25T20:45:00.087857Z" + } + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "(x0)' = -9.999 x0 + 9.999 x1\n", + "(x1)' = 27.992 x0 + -0.999 x1 + -1.000 x0 x2\n", + "(x2)' = -2.666 x2 + 1.000 x0 x1\n" + ] + } + ], + "source": [ + "# Instantiate and fit the SINDy model\n", + "model = ps.SINDy()\n", + "model.fit(x_train, t=dt)\n", + "model.print()" + ] + }, + { + "cell_type": "markdown", + "id": "dc713bba", + "metadata": {}, + "source": [ + "### Assess results on a test trajectory" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "id": "d757d770", + "metadata": { + "execution": { + "iopub.execute_input": "2023-07-25T20:45:00.093497Z", + "iopub.status.busy": "2023-07-25T20:45:00.093017Z", + "iopub.status.idle": "2023-07-25T20:45:00.374604Z", + "shell.execute_reply": "2023-07-25T20:45:00.373967Z" + } + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Model score: 1.000000\n" + ] + } + ], + "source": [ + "# Evolve the Lorenz equations in time using a different initial condition\n", + "t_test = np.arange(0, t_end_test, dt)\n", + "x0_test = np.array([8, 7, 15])\n", + "t_test_span = (t_test[0], t_test[-1])\n", + "x_test = solve_ivp(\n", + " lorenz, t_test_span, x0_test, t_eval=t_test, **integrator_keywords\n", + ").y.T\n", + "\n", + "# Compare SINDy-predicted derivatives with finite difference derivatives\n", + "print(\"Model score: %f\" % model.score(x_test, t=dt))" + ] + }, + { + "cell_type": "markdown", + "id": "b3a755b2", + "metadata": {}, + "source": [ + "### Predict derivatives with learned model" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "id": "84d2d0d5", + "metadata": { + "execution": { + "iopub.execute_input": "2023-07-25T20:45:00.376766Z", + "iopub.status.busy": "2023-07-25T20:45:00.376523Z", + "iopub.status.idle": "2023-07-25T20:45:01.136750Z", + "shell.execute_reply": "2023-07-25T20:45:01.136032Z" + } + }, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# Predict derivatives using the learned model\n", + "x_dot_test_predicted = model.predict(x_test)\n", + "\n", + "# Compute derivatives with a finite difference method, for comparison\n", + "x_dot_test_computed = model.differentiate(x_test, t=dt)\n", + "\n", + "fig, axs = plt.subplots(x_test.shape[1], 1, sharex=True, figsize=(7, 9))\n", + "for i in range(x_test.shape[1]):\n", + " axs[i].plot(t_test, x_dot_test_computed[:, i], \"k\", label=\"numerical derivative\")\n", + " axs[i].plot(t_test, x_dot_test_predicted[:, i], \"r--\", label=\"model prediction\")\n", + " axs[i].legend()\n", + " axs[i].set(xlabel=\"t\", ylabel=r\"$\\dot x_{}$\".format(i))\n", + "fig.show()" + ] + }, + { + "cell_type": "markdown", + "id": "98384faf", + "metadata": {}, + "source": [ + "### Simulate forward in time" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "id": "7bd2fddf", + "metadata": { + "execution": { + "iopub.execute_input": "2023-07-25T20:45:01.139126Z", + "iopub.status.busy": "2023-07-25T20:45:01.138785Z", + "iopub.status.idle": "2023-07-25T20:45:07.126030Z", + "shell.execute_reply": "2023-07-25T20:45:07.125409Z" + } + }, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# Evolve the new initial condition in time with the SINDy model\n", + "x_test_sim = model.simulate(x0_test, t_test)\n", + "\n", + "fig, axs = plt.subplots(x_test.shape[1], 1, sharex=True, figsize=(7, 9))\n", + "for i in range(x_test.shape[1]):\n", + " axs[i].plot(t_test, x_test[:, i], \"k\", label=\"true simulation\")\n", + " axs[i].plot(t_test, x_test_sim[:, i], \"r--\", label=\"model simulation\")\n", + " axs[i].legend()\n", + " axs[i].set(xlabel=\"t\", ylabel=\"$x_{}$\".format(i))\n", + "\n", + "fig = plt.figure(figsize=(10, 4.5))\n", + "ax1 = fig.add_subplot(121, projection=\"3d\")\n", + "ax1.plot(x_test[:, 0], x_test[:, 1], x_test[:, 2], \"k\")\n", + "ax1.set(xlabel=\"$x_0$\", ylabel=\"$x_1$\", zlabel=\"$x_2$\", title=\"true simulation\")\n", + "\n", + "ax2 = fig.add_subplot(122, projection=\"3d\")\n", + "ax2.plot(x_test_sim[:, 0], x_test_sim[:, 1], x_test_sim[:, 2], \"r--\")\n", + "ax2.set(xlabel=\"$x_0$\", ylabel=\"$x_1$\", zlabel=\"$x_2$\", title=\"model simulation\")\n", + "\n", + "fig.show()" + ] + }, + { + "cell_type": "markdown", + "id": "04843d1f", + "metadata": {}, + "source": [ + "## Different forms of input data\n", + "\n", + "Here we explore different types of input data accepted by the the `SINDy` class." + ] + }, + { + "cell_type": "markdown", + "id": "40d37847", + "metadata": {}, + "source": [ + "### Single trajectory, pass in collection times" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "id": "1544c24b", + "metadata": { + "execution": { + "iopub.execute_input": "2023-07-25T20:45:07.129067Z", + "iopub.status.busy": "2023-07-25T20:45:07.128608Z", + "iopub.status.idle": "2023-07-25T20:45:07.151269Z", + "shell.execute_reply": "2023-07-25T20:45:07.150191Z" + } + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "(x0)' = -9.999 x0 + 9.999 x1\n", + "(x1)' = 27.992 x0 + -0.999 x1 + -1.000 x0 x2\n", + "(x2)' = -2.666 x2 + 1.000 x0 x1\n" + ] + } + ], + "source": [ + "model = ps.SINDy()\n", + "model.fit(x_train, t=t_train)\n", + "model.print()" + ] + }, + { + "cell_type": "markdown", + "id": "b1a86971", + "metadata": {}, + "source": [ + "### Single trajectory, set default timestep\n", + "Since we used a uniform timestep when defining `t_train` we can tell set a default timestep to be used whenever `t` isn't passed in." + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "id": "eb80c1c3", + "metadata": { + "execution": { + "iopub.execute_input": "2023-07-25T20:45:07.155359Z", + "iopub.status.busy": "2023-07-25T20:45:07.154860Z", + "iopub.status.idle": "2023-07-25T20:45:07.183611Z", + "shell.execute_reply": "2023-07-25T20:45:07.182545Z" + } + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "(x0)' = -9.999 x0 + 9.999 x1\n", + "(x1)' = 27.992 x0 + -0.999 x1 + -1.000 x0 x2\n", + "(x2)' = -2.666 x2 + 1.000 x0 x1\n" + ] + } + ], + "source": [ + "model = ps.SINDy(t_default=dt)\n", + "model.fit(x_train)\n", + "model.print()" + ] + }, + { + "cell_type": "markdown", + "id": "b40ad578", + "metadata": {}, + "source": [ + "### Single trajectory, pass in pre-computed derivatives" + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "id": "4cf43383", + "metadata": { + "execution": { + "iopub.execute_input": "2023-07-25T20:45:07.188444Z", + "iopub.status.busy": "2023-07-25T20:45:07.187882Z", + "iopub.status.idle": "2023-07-25T20:45:07.243735Z", + "shell.execute_reply": "2023-07-25T20:45:07.242761Z" + } + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "(x0)' = -10.000 x0 + 10.000 x1\n", + "(x1)' = 28.000 x0 + -1.000 x1 + -1.000 x0 x2\n", + "(x2)' = -2.667 x2 + 1.000 x0 x1\n" + ] + } + ], + "source": [ + "x_dot_true = np.zeros(x_train.shape)\n", + "for i in range(t_train.size):\n", + " x_dot_true[i] = lorenz(t_train[i], x_train[i])\n", + "\n", + "model = ps.SINDy()\n", + "model.fit(x_train, t=t_train, x_dot=x_dot_true)\n", + "model.print()" + ] + }, + { + "cell_type": "markdown", + "id": "30bec97c", + "metadata": {}, + "source": [ + "### Multiple trajectories\n", + "We use the Lorenz equations to evolve multiple different initial conditions forward in time, passing all the trajectories into a single `SINDy` object. Note that `x_train_multi` is a list of 2D numpy arrays." + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "id": "b8c85f72", + "metadata": { + "execution": { + "iopub.execute_input": "2023-07-25T20:45:07.248148Z", + "iopub.status.busy": "2023-07-25T20:45:07.247569Z", + "iopub.status.idle": "2023-07-25T20:45:10.372203Z", + "shell.execute_reply": "2023-07-25T20:45:10.371216Z" + } + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "(x0)' = -9.999 x0 + 9.999 x1\n", + "(x1)' = 27.993 x0 + -0.999 x1 + -1.000 x0 x2\n", + "(x2)' = -2.666 x2 + 1.000 x0 x1\n" + ] + } + ], + "source": [ + "if __name__ != \"testing\":\n", + " n_trajectories = 20\n", + " sample_range = (500, 1500)\n", + "else:\n", + " n_trajectories = 2\n", + " sample_range = (10, 15)\n", + "x0s = np.array([36, 48, 41]) * (np.random.rand(n_trajectories, 3) - 0.5) + np.array(\n", + " [0, 0, 25]\n", + ")\n", + "x_train_multi = []\n", + "for i in range(n_trajectories):\n", + " x_train_multi.append(\n", + " solve_ivp(\n", + " lorenz, t_train_span, x0s[i], t_eval=t_train, **integrator_keywords\n", + " ).y.T\n", + " )\n", + "\n", + "model = ps.SINDy()\n", + "model.fit(x_train_multi, t=dt)\n", + "model.print()" + ] + }, + { + "cell_type": "markdown", + "id": "95bd6c20", + "metadata": {}, + "source": [ + "### Multiple trajectories, different lengths of time\n", + "This example is similar to the previous one, but each trajectory consists of a different number of measurements." + ] + }, + { + "cell_type": "code", + "execution_count": 13, + "id": "73858647", + "metadata": { + "execution": { + "iopub.execute_input": "2023-07-25T20:45:10.376584Z", + "iopub.status.busy": "2023-07-25T20:45:10.375786Z", + "iopub.status.idle": "2023-07-25T20:45:11.136465Z", + "shell.execute_reply": "2023-07-25T20:45:11.135324Z" + } + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "(x0)' = -9.999 x0 + 9.999 x1\n", + "(x1)' = 27.994 x0 + -0.999 x1 + -1.000 x0 x2\n", + "(x2)' = -2.666 x2 + 1.000 x0 x1\n" + ] + } + ], + "source": [ + "x0s = np.array([36, 48, 41]) * (np.random.rand(n_trajectories, 3) - 0.5) + np.array(\n", + " [0, 0, 25]\n", + ")\n", + "x_train_multi = []\n", + "t_train_multi = []\n", + "for i in range(n_trajectories):\n", + " n_samples = np.random.randint(*sample_range)\n", + " t = np.arange(0, n_samples * dt, dt)\n", + " t_span = (t[0], t[-1])\n", + " x_train_multi.append(\n", + " solve_ivp(lorenz, t_span, x0s[i], t_eval=t, **integrator_keywords).y.T\n", + " )\n", + " t_train_multi.append(t)\n", + "\n", + "model = ps.SINDy()\n", + "model.fit(x_train_multi, t=t_train_multi)\n", + "model.print()" + ] + }, + { + "cell_type": "markdown", + "id": "a6a42126", + "metadata": { + "lines_to_next_cell": 2 + }, + "source": [ + "### Discrete time dynamical system (map)" + ] + }, + { + "cell_type": "code", + "execution_count": 14, + "id": "edf5b390", + "metadata": { + "execution": { + "iopub.execute_input": "2023-07-25T20:45:11.141287Z", + "iopub.status.busy": "2023-07-25T20:45:11.140800Z", + "iopub.status.idle": "2023-07-25T20:45:11.159071Z", + "shell.execute_reply": "2023-07-25T20:45:11.158054Z" + } + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "(x0)[k+1] = 3.600 x0[k] + -3.600 x0[k]^2\n" + ] + } + ], + "source": [ + "def f(x):\n", + " return 3.6 * x * (1 - x)\n", + "\n", + "\n", + "if __name__ != \"testing\":\n", + " n_steps = 1000\n", + "else:\n", + " n_steps = 10\n", + "eps = 0.001 # Noise level\n", + "x_train_map = np.zeros((n_steps))\n", + "x_train_map[0] = 0.5\n", + "for i in range(1, n_steps):\n", + " x_train_map[i] = f(x_train_map[i - 1]) + eps * np.random.randn()\n", + "model = ps.SINDy(discrete_time=True)\n", + "model.fit(x_train_map)\n", + "\n", + "model.print()" + ] + }, + { + "cell_type": "markdown", + "id": "2792bee2", + "metadata": {}, + "source": [ + "### Pandas DataFrame" + ] + }, + { + "cell_type": "code", + "execution_count": 15, + "id": "a4e9eed8", + "metadata": { + "execution": { + "iopub.execute_input": "2023-07-25T20:45:11.164359Z", + "iopub.status.busy": "2023-07-25T20:45:11.163544Z", + "iopub.status.idle": "2023-07-25T20:45:11.418947Z", + "shell.execute_reply": "2023-07-25T20:45:11.417476Z" + } + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "(x)' = -9.999 x + 9.999 y\n", + "(y)' = 27.992 x + -0.999 y + -1.000 x z\n", + "(z)' = -2.666 z + 1.000 x y\n" + ] + } + ], + "source": [ + "import pandas as pd\n", + "\n", + "# Create a dataframe with entries corresponding to measurements and\n", + "# indexed by the time at which the measurements were taken\n", + "df = pd.DataFrame(data=x_train, columns=[\"x\", \"y\", \"z\"], index=t_train)\n", + "\n", + "# The column names can be used as feature names\n", + "model = ps.SINDy(feature_names=df.columns)\n", + "\n", + "# Everything needs to be converted to numpy arrays to be passed in\n", + "model.fit(df.values, t=df.index.values)\n", + "model.print()" + ] + }, + { + "cell_type": "markdown", + "id": "e4a90da6", + "metadata": {}, + "source": [ + "## Optimization options\n", + "In this section we provide examples of different parameters accepted by the built-in sparse regression optimizers `STLSQ`, `SR3`, `ConstrainedSR3`, `MIOSR`, `SSR`, and `FROLS`. The `Trapping` optimizer is not straightforward to use; please check out Example 8 for some examples. We also show how to use a scikit-learn sparse regressor with PySINDy." + ] + }, + { + "cell_type": "markdown", + "id": "a531336b", + "metadata": {}, + "source": [ + "### STLSQ - change parameters" + ] + }, + { + "cell_type": "code", + "execution_count": 16, + "id": "174dc43f", + "metadata": { + "execution": { + "iopub.execute_input": "2023-07-25T20:45:11.423553Z", + "iopub.status.busy": "2023-07-25T20:45:11.423122Z", + "iopub.status.idle": "2023-07-25T20:45:11.457045Z", + "shell.execute_reply": "2023-07-25T20:45:11.456024Z" + } + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "(x0)' = -9.999 x0 + 9.999 x1\n", + "(x1)' = 27.992 x0 + -0.999 x1 + -1.000 x0 x2\n", + "(x2)' = -2.666 x2 + 1.000 x0 x1\n" + ] + } + ], + "source": [ + "stlsq_optimizer = ps.STLSQ(threshold=0.01, alpha=0.5)\n", + "\n", + "model = ps.SINDy(optimizer=stlsq_optimizer)\n", + "model.fit(x_train, t=dt)\n", + "model.print()" + ] + }, + { + "cell_type": "markdown", + "id": "5dab8f5c", + "metadata": {}, + "source": [ + "### STLSQ - verbose (print out optimization terms at each iteration)\n", + "The same verbose option is available with all the other optimizers. For optimizers that use the CVXPY\n", + "package, there is additional boolean flag, verbose_cvxpy, that decides whether or not CVXPY solves will also be verbose." + ] + }, + { + "cell_type": "code", + "execution_count": 17, + "id": "d78471a0", + "metadata": { + "execution": { + "iopub.execute_input": "2023-07-25T20:45:11.461270Z", + "iopub.status.busy": "2023-07-25T20:45:11.460695Z", + "iopub.status.idle": "2023-07-25T20:45:11.490152Z", + "shell.execute_reply": "2023-07-25T20:45:11.489116Z" + } + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + " Iteration ... |y - Xw|^2 ... a * |w|_2 ... |w|_0 ... Total error: |y - Xw|^2 + a * |w|_2\n", + " 0 ... 3.1040e+01 ... 4.9652e+02 ... 8 ... 5.2756e+02\n", + " 1 ... 1.1797e+00 ... 4.9674e+02 ... 7 ... 4.9792e+02\n", + " 2 ... 1.1712e+00 ... 4.9675e+02 ... 7 ... 4.9792e+02\n", + "(x0)' = -9.999 x0 + 9.999 x1\n", + "(x1)' = 27.992 x0 + -0.999 x1 + -1.000 x0 x2\n", + "(x2)' = -2.666 x2 + 1.000 x0 x1\n" + ] + } + ], + "source": [ + "stlsq_optimizer = ps.STLSQ(threshold=0.01, alpha=0.5, verbose=True)\n", + "\n", + "model = ps.SINDy(optimizer=stlsq_optimizer)\n", + "model.fit(x_train, t=dt)\n", + "model.print()" + ] + }, + { + "cell_type": "markdown", + "id": "6704fb45", + "metadata": {}, + "source": [ + "### SR3" + ] + }, + { + "cell_type": "code", + "execution_count": 18, + "id": "6035985b", + "metadata": { + "execution": { + "iopub.execute_input": "2023-07-25T20:45:11.494396Z", + "iopub.status.busy": "2023-07-25T20:45:11.493819Z", + "iopub.status.idle": "2023-07-25T20:45:11.516002Z", + "shell.execute_reply": "2023-07-25T20:45:11.514984Z" + } + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "(x0)' = -9.905 x0 + 9.903 x1\n", + "(x1)' = 27.891 x0 + -0.898 x1 + -0.900 x0 x2\n", + "(x2)' = -2.566 x2 + 0.899 x0 x1\n" + ] + } + ], + "source": [ + "sr3_optimizer = ps.SR3(threshold=0.1, thresholder=\"l1\")\n", + "\n", + "model = ps.SINDy(optimizer=sr3_optimizer)\n", + "model.fit(x_train, t=dt)\n", + "model.print()" + ] + }, + { + "cell_type": "markdown", + "id": "108f5095", + "metadata": {}, + "source": [ + "### SR3 - with trimming\n", + "`SR3` is capable of automatically trimming outliers from training data. Specifying the parameter `trimming_fraction` tells the method what fraction of samples should be trimmed." + ] + }, + { + "cell_type": "code", + "execution_count": 19, + "id": "7398a8e6", + "metadata": { + "execution": { + "iopub.execute_input": "2023-07-25T20:45:11.520194Z", + "iopub.status.busy": "2023-07-25T20:45:11.519598Z", + "iopub.status.idle": "2023-07-25T20:45:11.685532Z", + "shell.execute_reply": "2023-07-25T20:45:11.684462Z" + } + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Without trimming\n", + "(x0)' = -3.754 1 + -9.237 x0 + 9.539 x1 + 0.548 x2\n", + "(x1)' = -3.834 1 + 28.199 x0 + -1.172 x1 + 0.572 x2 + 0.100 x0^2 + -1.006 x0 x2\n", + "(x2)' = 2.585 1 + 0.107 x1 + -3.014 x2 + 1.039 x0 x1\n", + "\n", + "With trimming\n", + "(x0)' = -10.005 x0 + 10.003 x1\n", + "(x1)' = 27.990 x0 + -0.997 x1 + -1.000 x0 x2\n", + "(x2)' = -2.665 x2 + 0.999 x0 x1\n" + ] + } + ], + "source": [ + "corrupted_inds = np.random.randint(0, len(x_train), size=len(x_train) // 30)\n", + "x_train_corrupted = x_train.copy()\n", + "x_train_corrupted[corrupted_inds] += np.random.standard_normal((len(corrupted_inds), 3))\n", + "\n", + "# Without trimming\n", + "sr3_optimizer = ps.SR3()\n", + "with ignore_specific_warnings():\n", + " model = ps.SINDy(optimizer=sr3_optimizer).fit(x_train_corrupted, t=dt)\n", + "print(\"Without trimming\")\n", + "model.print()\n", + "\n", + "# With trimming\n", + "sr3_optimizer = ps.SR3(trimming_fraction=0.1)\n", + "with ignore_specific_warnings():\n", + " model = ps.SINDy(optimizer=sr3_optimizer).fit(x_train_corrupted, t=dt)\n", + "print(\"\\nWith trimming\")\n", + "model.print()" + ] + }, + { + "cell_type": "markdown", + "id": "76589353", + "metadata": {}, + "source": [ + "### SR3 regularizers\n", + "The default regularizer with SR3 is the L0 norm, but L1 and L2 are allowed. Note that the pure L2 option is notably less sparse than the other options." + ] + }, + { + "cell_type": "code", + "execution_count": 20, + "id": "c5548a86", + "metadata": { + "execution": { + "iopub.execute_input": "2023-07-25T20:45:11.690180Z", + "iopub.status.busy": "2023-07-25T20:45:11.689515Z", + "iopub.status.idle": "2023-07-25T20:45:11.751620Z", + "shell.execute_reply": "2023-07-25T20:45:11.750580Z" + } + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "L0 regularizer: \n", + "(x0)' = -10.005 x0 + 10.003 x1\n", + "(x1)' = 27.991 x0 + -0.998 x1 + -1.000 x0 x2\n", + "(x2)' = -2.666 x2 + 0.999 x0 x1\n", + "L1 regularizer: \n", + "(x0)' = -9.905 x0 + 9.903 x1\n", + "(x1)' = 27.891 x0 + -0.898 x1 + -0.900 x0 x2\n", + "(x2)' = -2.566 x2 + 0.899 x0 x1\n", + "L2 regularizer: \n", + "(x0)' = -0.001 1 + -1.999 x0 + 2.000 x1\n", + "(x1)' = -0.001 1 + 5.595 x0 + -0.198 x1 + -0.200 x0 x2\n", + "(x2)' = 0.001 1 + 0.001 x0 + -0.001 x1 + -0.533 x2 + 0.200 x0 x1\n" + ] + } + ], + "source": [ + "sr3_optimizer = ps.SR3(threshold=0.1, thresholder=\"l0\")\n", + "with ignore_specific_warnings():\n", + " model = ps.SINDy(optimizer=sr3_optimizer).fit(x_train, t=dt)\n", + "print(\"L0 regularizer: \")\n", + "model.print()\n", + "\n", + "sr3_optimizer = ps.SR3(threshold=0.1, thresholder=\"l1\")\n", + "with ignore_specific_warnings():\n", + " model = ps.SINDy(optimizer=sr3_optimizer).fit(x_train, t=dt)\n", + "print(\"L1 regularizer: \")\n", + "model.print()\n", + "\n", + "sr3_optimizer = ps.SR3(threshold=0.1, thresholder=\"l2\")\n", + "with ignore_specific_warnings():\n", + " model = ps.SINDy(optimizer=sr3_optimizer).fit(x_train, t=dt)\n", + "print(\"L2 regularizer: \")\n", + "model.print()" + ] + }, + { + "cell_type": "markdown", + "id": "61aa34c9", + "metadata": {}, + "source": [ + "### SR3 - with variable thresholding\n", + "`SR3` and its variants (ConstrainedSR3, TrappingSR3, SINDyPI) can use a matrix of thresholds to set different thresholds for different terms." + ] + }, + { + "cell_type": "code", + "execution_count": 21, + "id": "77f653ca", + "metadata": { + "execution": { + "iopub.execute_input": "2023-07-25T20:45:11.755746Z", + "iopub.status.busy": "2023-07-25T20:45:11.755049Z", + "iopub.status.idle": "2023-07-25T20:45:11.795266Z", + "shell.execute_reply": "2023-07-25T20:45:11.794208Z" + } + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Threshold = 0.1 for all terms\n", + "(x0)' = -10.005 x0 + 10.003 x1\n", + "(x1)' = 27.991 x0 + -0.998 x1 + -1.000 x0 x2\n", + "(x2)' = -2.666 x2 + 0.999 x0 x1\n", + "Threshold = 0.1 for quadratic terms, else threshold = 1\n", + "(x0)' = -10.005 x0 + 10.003 x1\n", + "(x1)' = 27.990 x0 + -1.000 x0 x2\n", + "(x2)' = -2.666 x2 + 0.999 x0 x1\n" + ] + } + ], + "source": [ + "# Without thresholds matrix\n", + "sr3_optimizer = ps.SR3(threshold=0.1, thresholder=\"l0\")\n", + "model = ps.SINDy(optimizer=sr3_optimizer).fit(x_train, t=dt)\n", + "print(\"Threshold = 0.1 for all terms\")\n", + "model.print()\n", + "\n", + "# With thresholds matrix\n", + "thresholds = 2 * np.ones((10, 3))\n", + "thresholds[4:, :] = 0.1\n", + "sr3_optimizer = ps.SR3(thresholder=\"weighted_l0\", thresholds=thresholds)\n", + "model = ps.SINDy(optimizer=sr3_optimizer).fit(x_train, t=dt)\n", + "print(\"Threshold = 0.1 for quadratic terms, else threshold = 1\")\n", + "model.print()" + ] + }, + { + "cell_type": "markdown", + "id": "2a653cd5", + "metadata": {}, + "source": [ + "It can be seen that the x1 term in the second equation correctly gets truncated with these thresholds.\n", + "\n", + "### ConstrainedSR3\n", + "We can impose linear equality and inequality constraints on the coefficients in the `SINDy` model using the `ConstrainedSR3` class. Below we constrain the x0 coefficient in the second equation to be exactly 28 and the x0 and x1 coefficients in the first equations to be negatives of one another. See this [notebook](https://github.com/dynamicslab/pysindy/blob/master/examples/7_plasma_examples.ipynb) for examples." + ] + }, + { + "cell_type": "code", + "execution_count": 22, + "id": "1772eb13", + "metadata": { + "execution": { + "iopub.execute_input": "2023-07-25T20:45:11.799989Z", + "iopub.status.busy": "2023-07-25T20:45:11.799317Z", + "iopub.status.idle": "2023-07-25T20:45:11.806596Z", + "shell.execute_reply": "2023-07-25T20:45:11.805603Z" + } + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Features (10): ['1', 'x0', 'x1', 'x2', 'x0^2', 'x0 x1', 'x0 x2', 'x1^2', 'x1 x2', 'x2^2']\n" + ] + } + ], + "source": [ + "# Figure out how many library features there will be\n", + "library = ps.PolynomialLibrary()\n", + "library.fit([ps.AxesArray(x_train, {\"ax_sample\": 0, \"ax_coord\": 1})])\n", + "n_features = library.n_output_features_\n", + "print(f\"Features ({n_features}):\", library.get_feature_names())" + ] + }, + { + "cell_type": "code", + "execution_count": 23, + "id": "4a96714e", + "metadata": { + "execution": { + "iopub.execute_input": "2023-07-25T20:45:11.811056Z", + "iopub.status.busy": "2023-07-25T20:45:11.810376Z", + "iopub.status.idle": "2023-07-25T20:45:11.843776Z", + "shell.execute_reply": "2023-07-25T20:45:11.842743Z" + } + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "(x0)' = -10.002 x0 + 10.002 x1\n", + "(x1)' = 28.000 x0 + -1.003 x1 + -1.000 x0 x2\n", + "(x2)' = -2.666 x2 + 0.999 x0 x1\n" + ] + } + ], + "source": [ + "# Set constraints\n", + "n_targets = x_train.shape[1]\n", + "constraint_rhs = np.array([0, 28])\n", + "\n", + "# One row per constraint, one column per coefficient\n", + "constraint_lhs = np.zeros((2, n_targets * n_features))\n", + "\n", + "# 1 * (x0 coefficient) + 1 * (x1 coefficient) = 0\n", + "constraint_lhs[0, 1] = 1\n", + "constraint_lhs[0, 2] = 1\n", + "\n", + "# 1 * (x0 coefficient) = 28\n", + "constraint_lhs[1, 1 + n_features] = 1\n", + "\n", + "optimizer = ps.ConstrainedSR3(\n", + " constraint_rhs=constraint_rhs, constraint_lhs=constraint_lhs\n", + ")\n", + "model = ps.SINDy(optimizer=optimizer, feature_library=library).fit(x_train, t=dt)\n", + "model.print()" + ] + }, + { + "cell_type": "code", + "execution_count": 24, + "id": "82bbf504", + "metadata": { + "execution": { + "iopub.execute_input": "2023-07-25T20:45:11.848609Z", + "iopub.status.busy": "2023-07-25T20:45:11.847917Z", + "iopub.status.idle": "2023-07-25T20:45:11.878680Z", + "shell.execute_reply": "2023-07-25T20:45:11.877654Z" + } + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "(x0)' = -11.085 x0 + 9.701 x1 + 0.020 x2 + 0.021 x0 x2 + 0.025 x1 x2\n", + "(x1)' = 2.338 1 + 0.050 x0 + 10.311 x1 + 0.368 x2 + -0.047 x0^2 + 0.197 x0 x1 + -0.308 x0 x2 + -0.125 x1^2 + -0.183 x1 x2 + -0.006 x2^2\n", + "(x2)' = -2.666 x2 + 1.000 x0 x1\n" + ] + } + ], + "source": [ + "# Try with normalize columns (doesn't work with constraints!!!)\n", + "optimizer = ps.ConstrainedSR3(\n", + " constraint_rhs=constraint_rhs,\n", + " constraint_lhs=constraint_lhs,\n", + " normalize_columns=True,\n", + " threshold=10,\n", + ")\n", + "with ignore_specific_warnings():\n", + " model = ps.SINDy(optimizer=optimizer, feature_library=library).fit(x_train, t=dt)\n", + "\n", + "model.print()" + ] + }, + { + "cell_type": "code", + "execution_count": 25, + "id": "654a3212", + "metadata": { + "execution": { + "iopub.execute_input": "2023-07-25T20:45:11.883165Z", + "iopub.status.busy": "2023-07-25T20:45:11.882519Z", + "iopub.status.idle": "2023-07-25T20:45:11.887935Z", + "shell.execute_reply": "2023-07-25T20:45:11.886916Z" + } + }, + "outputs": [], + "source": [ + "# Repeat with inequality constraints, need CVXPY installed\n", + "try:\n", + " import cvxpy # noqa: F401\n", + "\n", + " run_cvxpy = True\n", + "except ImportError:\n", + " run_cvxpy = False\n", + " print(\"No CVXPY package is installed\")" + ] + }, + { + "cell_type": "code", + "execution_count": 26, + "id": "ae1de146", + "metadata": { + "execution": { + "iopub.execute_input": "2023-07-25T20:45:11.892500Z", + "iopub.status.busy": "2023-07-25T20:45:11.891761Z", + "iopub.status.idle": "2023-07-25T20:45:22.928006Z", + "shell.execute_reply": "2023-07-25T20:45:22.926250Z" + } + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "(x0)' = -10.000 x0 + 10.000 x1\n", + "(x1)' = 27.985 x0 + -0.994 x1 + -1.000 x0 x2\n", + "(x2)' = 0.001 x0 + -2.665 x2 + 0.001 x0^2 + 0.999 x0 x1\n", + "-10.000125704916801 10.000135690183592\n" + ] + } + ], + "source": [ + "if run_cvxpy:\n", + " # Repeat with inequality constraints\n", + " eps = 1e-5\n", + " constraint_rhs = np.array([eps, eps, 28])\n", + "\n", + " # One row per constraint, one column per coefficient\n", + " constraint_lhs = np.zeros((3, n_targets * n_features))\n", + "\n", + " # 1 * (x0 coefficient) + 1 * (x1 coefficient) <= eps\n", + " constraint_lhs[0, 1] = 1\n", + " constraint_lhs[0, 2] = 1\n", + "\n", + " # -eps <= 1 * (x0 coefficient) + 1 * (x1 coefficient)\n", + " constraint_lhs[1, 1] = -1\n", + " constraint_lhs[1, 2] = -1\n", + "\n", + " # 1 * (x0 coefficient) <= 28\n", + " constraint_lhs[2, 1 + n_features] = 1\n", + "\n", + " optimizer = ps.ConstrainedSR3(\n", + " constraint_rhs=constraint_rhs,\n", + " constraint_lhs=constraint_lhs,\n", + " inequality_constraints=True,\n", + " thresholder=\"l1\",\n", + " tol=1e-7,\n", + " threshold=10,\n", + " max_iter=10000,\n", + " )\n", + " model = ps.SINDy(optimizer=optimizer, feature_library=library).fit(x_train, t=dt)\n", + " model.print()\n", + " print(optimizer.coef_[0, 1], optimizer.coef_[0, 2])" + ] + }, + { + "cell_type": "markdown", + "id": "d065bccb", + "metadata": {}, + "source": [ + "### MIOSR\n", + "Mixed-integer optimized sparse regression (MIOSR) is an optimizer which solves the NP-hard subset selection problem to provable optimality using techniques from mixed-integer optimization. This optimizer is expected to be most performant compared to heuristics in settings with limited data or on systems with small coefficients. See Bertsimas, Dimitris, and Wes Gurnee. \"Learning Sparse Nonlinear Dynamics via Mixed-Integer Optimization.\" arXiv preprint arXiv:2206.00176 (2022). for details.\n", + "\n", + "Note, MIOSR requires `gurobipy` as a dependency. Please either `pip install gurobipy` or `pip install pysindy[miosr]`.\n", + "\n", + "Gurobi is a private company, but a limited academic license is available when you pip install. If you have previously installed `gurobipy` but your license has expired, `import gurobipy` will work but using the functionality will throw a `GurobiError`. See [here](https://support.gurobi.com/hc/en-us/articles/360038967271-How-do-I-renew-my-free-individual-academic-or-free-trial-license-) for how to renew a free academic license." + ] + }, + { + "cell_type": "code", + "execution_count": 29, + "id": "b371c257", + "metadata": { + "execution": { + "iopub.execute_input": "2023-07-25T20:45:22.932710Z", + "iopub.status.busy": "2023-07-25T20:45:22.932227Z", + "iopub.status.idle": "2023-07-25T20:45:22.939832Z", + "shell.execute_reply": "2023-07-25T20:45:22.938529Z" + } + }, + "outputs": [], + "source": [ + "try:\n", + " import gurobipy\n", + "\n", + " run_miosr = True\n", + " GurobiError = gurobipy.GurobiError\n", + "except ImportError:\n", + " run_miosr = False" + ] + }, + { + "cell_type": "markdown", + "id": "077aa59e", + "metadata": {}, + "source": [ + "MIOSR can handle sparsity constraints in two ways: dimensionwise sparsity where the algorithm is fit once per each dimension, and global sparsity, where all dimensions are fit jointly to respect the overall sparsity constraint. Additionally, MIOSR can handle constraints and can be adapted to implement custom constraints by advanced users.\n", + "\n", + "### MIOSR target_sparsity vs. group_sparsity" + ] + }, + { + "cell_type": "code", + "execution_count": 31, + "id": "72b56ccd", + "metadata": { + "execution": { + "iopub.execute_input": "2023-07-25T20:45:22.944470Z", + "iopub.status.busy": "2023-07-25T20:45:22.943977Z", + "iopub.status.idle": "2023-07-25T20:45:23.023515Z", + "shell.execute_reply": "2023-07-25T20:45:23.022463Z" + } + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "(x0)' = -9.999 x0 + 9.999 x1\n", + "(x1)' = 27.992 x0 + -0.999 x1 + -1.000 x0 x2\n", + "(x2)' = -2.666 x2 + 1.000 x0 x1\n" + ] + } + ], + "source": [ + "if run_miosr:\n", + " try:\n", + " miosr_optimizer = ps.MIOSR(target_sparsity=7)\n", + " model = ps.SINDy(optimizer=miosr_optimizer)\n", + " model.fit(x_train, t=dt)\n", + " model.print()\n", + " except GurobiError:\n", + " print(\"User has an expired gurobi license\")" + ] + }, + { + "cell_type": "code", + "execution_count": 32, + "id": "3cb54468", + "metadata": { + "execution": { + "iopub.execute_input": "2023-07-25T20:45:23.027739Z", + "iopub.status.busy": "2023-07-25T20:45:23.027192Z", + "iopub.status.idle": "2023-07-25T20:45:23.143015Z", + "shell.execute_reply": "2023-07-25T20:45:23.141920Z" + } + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "(x0)' = -9.999 x0 + 9.999 x1\n", + "(x1)' = 27.992 x0 + -0.999 x1 + -1.000 x0 x2\n", + "(x2)' = -2.666 x2 + 1.000 x0 x1\n" + ] + } + ], + "source": [ + "if run_miosr:\n", + " try:\n", + " miosr_optimizer = ps.MIOSR(group_sparsity=(2, 3, 2), target_sparsity=None)\n", + "\n", + " model = ps.SINDy(optimizer=miosr_optimizer)\n", + " model.fit(x_train, t=dt)\n", + " model.print()\n", + " except GurobiError:\n", + " print(\"User does not have a gurobi license\")" + ] + }, + { + "cell_type": "markdown", + "id": "11d83bca", + "metadata": {}, + "source": [ + "### MIOSR (verbose) with equality constraints" + ] + }, + { + "cell_type": "code", + "execution_count": 33, + "id": "323a24fe", + "metadata": { + "execution": { + "iopub.execute_input": "2023-07-25T20:45:23.148957Z", + "iopub.status.busy": "2023-07-25T20:45:23.148386Z", + "iopub.status.idle": "2023-07-25T20:45:23.282655Z", + "shell.execute_reply": "2023-07-25T20:45:23.282148Z" + } + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Set parameter TimeLimit to value 10\n", + "Gurobi Optimizer version 11.0.0 build v11.0.0rc2 (mac64[x86] - Darwin 20.6.0 20G1427)\n", + "\n", + "CPU model: Intel(R) Core(TM) i7-4870HQ CPU @ 2.50GHz\n", + "Thread count: 4 physical cores, 8 logical processors, using up to 8 threads\n", + "\n", + "Optimize a model with 3 rows, 60 columns and 33 nonzeros\n", + "Model fingerprint: 0xfff3ed10\n", + "Model has 165 quadratic objective terms\n", + "Model has 30 SOS constraints\n", + "Variable types: 30 continuous, 30 integer (30 binary)\n", + "Coefficient statistics:\n", + " Matrix range [1e+00, 1e+00]\n", + " Objective range [2e+02, 9e+07]\n", + " QObjective range [1e+04, 6e+09]\n", + " Bounds range [1e+00, 1e+00]\n", + " RHS range [2e+01, 3e+01]\n", + "Warning: Model contains large quadratic objective coefficients\n", + " Consider reformulating model or setting NumericFocus parameter\n", + " to avoid numerical issues.\n", + "Presolve removed 1 rows and 2 columns\n", + "Presolve time: 0.00s\n", + "Presolved: 2 rows, 58 columns, 31 nonzeros\n", + "Presolved model has 29 SOS constraint(s)\n", + "Presolved model has 155 quadratic objective terms\n", + "Variable types: 29 continuous, 29 integer (29 binary)\n", + "Found heuristic solution: objective 2.813404e+08\n", + "\n", + "Root relaxation: objective -6.078269e+07, 78 iterations, 0.00 seconds (0.00 work units)\n", + "\n", + " Nodes | Current Node | Objective Bounds | Work\n", + " Expl Unexpl | Obj Depth IntInf | Incumbent BestBd Gap | It/Node Time\n", + "\n", + " 0 0 -6.078e+07 0 23 2.8134e+08 -6.078e+07 122% - 0s\n", + "H 0 0 9.657912e+07 -6.078e+07 163% - 0s\n", + " 0 0 -6.078e+07 0 23 9.6579e+07 -6.078e+07 163% - 0s\n", + "H 0 0 -6.07827e+07 -6.078e+07 0.00% - 0s\n", + "\n", + "Explored 1 nodes (78 simplex iterations) in 0.03 seconds (0.00 work units)\n", + "Thread count was 8 (of 8 available processors)\n", + "\n", + "Solution count 3: -6.07827e+07 9.65791e+07 2.8134e+08 \n", + "\n", + "Optimal solution found (tolerance 1.00e-04)\n", + "Best objective -6.078268757125e+07, best bound -6.078268817068e+07, gap 0.0000%\n", + "(x0)' = -9.999 x0 + 9.999 x1\n", + "(x1)' = 28.000 x0 + -1.001 x1 + -1.000 x0 x2\n", + "(x2)' = -2.666 x2 + 1.000 x0 x1\n", + "-10.000125704916801 10.000135690183592\n" + ] + } + ], + "source": [ + "if run_miosr:\n", + " try:\n", + " # Set constraints\n", + " n_targets = x_train.shape[1]\n", + " constraint_rhs = np.array([0, 28])\n", + "\n", + " # One row per constraint, one column per coefficient\n", + " constraint_lhs = np.zeros((2, n_targets * n_features))\n", + "\n", + " # 1 * (x0 coefficient) + 1 * (x1 coefficient) = 0\n", + " constraint_lhs[0, 1] = 1\n", + " constraint_lhs[0, 2] = 1\n", + "\n", + " # 1 * (x0 coefficient) = 28\n", + " constraint_lhs[1, 1 + n_features] = 1\n", + "\n", + " miosr_optimizer = ps.MIOSR(\n", + " constraint_rhs=constraint_rhs,\n", + " constraint_lhs=constraint_lhs,\n", + " verbose=True, # print the full gurobi log\n", + " target_sparsity=7,\n", + " )\n", + " model = ps.SINDy(optimizer=miosr_optimizer, feature_library=library)\n", + " model.fit(x_train, t=dt)\n", + " model.print()\n", + " print(optimizer.coef_[0, 1], optimizer.coef_[0, 2])\n", + " except GurobiError:\n", + " print(\"User does not have a gurobi license\")" + ] + }, + { + "cell_type": "markdown", + "id": "3b28b495", + "metadata": {}, + "source": [ + "See the [gurobi documentation](https://www.gurobi.com/documentation/9.5/refman/mip_logging.html) for more information on how to read the log output and this [tutorial](https://www.gurobi.com/resource/mip-basics/) on the basics of mixed-integer optimization." + ] + }, + { + "cell_type": "markdown", + "id": "a4d8cf42", + "metadata": {}, + "source": [ + "### SSR (greedy algorithm)\n", + "Stepwise sparse regression (SSR) is a greedy algorithm which solves the problem (defaults to ridge regression) by iteratively truncating the smallest coefficient during the optimization. There are many ways one can decide to truncate terms. We implement two popular ways, truncating the smallest coefficient at each iteration, or chopping each coefficient, computing N - 1 models, and then choosing the model with the lowest residual error. See this [notebook](https://github.com/dynamicslab/pysindy/blob/master/examples/11_SSR_FROLS.ipynb) for examples." + ] + }, + { + "cell_type": "code", + "execution_count": 34, + "id": "1262a46e", + "metadata": { + "execution": { + "iopub.execute_input": "2023-07-25T20:45:23.284723Z", + "iopub.status.busy": "2023-07-25T20:45:23.284430Z", + "iopub.status.idle": "2023-07-25T20:45:23.354482Z", + "shell.execute_reply": "2023-07-25T20:45:23.351898Z" + } + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "(x0)' = -0.001 1 + -10.005 x0 + 10.003 x1\n", + "(x1)' = -0.015 1 + 27.991 x0 + -0.998 x1 + 0.002 x2 + -1.000 x0 x2\n", + "(x2)' = 0.008 1 + 0.006 x0 + -0.004 x1 + -2.666 x2 + 0.001 x0^2 + 0.999 x0 x1\n" + ] + } + ], + "source": [ + "ssr_optimizer = ps.SSR(alpha=0.05)\n", + "\n", + "model = ps.SINDy(optimizer=ssr_optimizer)\n", + "model.fit(x_train, t=dt)\n", + "model.print()" + ] + }, + { + "cell_type": "markdown", + "id": "ff07f805", + "metadata": {}, + "source": [ + "The alpha parameter is the same here as in the STLSQ optimizer. It determines the amount of L2 regularization to use, so if alpha is nonzero, this is doing Ridge regression rather than least-squares regression." + ] + }, + { + "cell_type": "code", + "execution_count": 35, + "id": "f47ccea7", + "metadata": { + "execution": { + "iopub.execute_input": "2023-07-25T20:45:23.359020Z", + "iopub.status.busy": "2023-07-25T20:45:23.358126Z", + "iopub.status.idle": "2023-07-25T20:45:23.676877Z", + "shell.execute_reply": "2023-07-25T20:45:23.675851Z" + } + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "(x0)' = -0.001 1 + -10.005 x0 + 10.003 x1\n", + "(x1)' = -0.015 1 + 27.991 x0 + -0.998 x1 + 0.002 x2 + -1.000 x0 x2\n", + "(x2)' = 0.008 1 + 0.006 x0 + -0.004 x1 + -2.666 x2 + 0.001 x0^2 + 0.999 x0 x1\n" + ] + } + ], + "source": [ + "ssr_optimizer = ps.SSR(alpha=0.05, criteria=\"model_residual\")\n", + "model = ps.SINDy(optimizer=ssr_optimizer)\n", + "model.fit(x_train, t=dt)\n", + "model.print()" + ] + }, + { + "cell_type": "markdown", + "id": "5ebe5784", + "metadata": {}, + "source": [ + "The kappa parameter determines how sparse a solution is desired." + ] + }, + { + "cell_type": "code", + "execution_count": 36, + "id": "8b3ef434", + "metadata": { + "execution": { + "iopub.execute_input": "2023-07-25T20:45:23.681100Z", + "iopub.status.busy": "2023-07-25T20:45:23.680254Z", + "iopub.status.idle": "2023-07-25T20:45:23.954332Z", + "shell.execute_reply": "2023-07-25T20:45:23.953293Z" + } + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "(x0)' = -10.004 x0 + 10.003 x1\n", + "(x1)' = 27.992 x0 + -0.999 x1 + -1.000 x0 x2\n", + "(x2)' = -2.665 x2 + 1.000 x0 x1\n" + ] + } + ], + "source": [ + "ssr_optimizer = ps.SSR(alpha=0.05, criteria=\"model_residual\", kappa=1e-3)\n", + "model = ps.SINDy(optimizer=ssr_optimizer)\n", + "model.fit(x_train, t=dt)\n", + "model.print()" + ] + }, + { + "cell_type": "markdown", + "id": "575f0ae5", + "metadata": {}, + "source": [ + "### FROLS (greedy algorithm)\n", + "Forward Regression Orthogonal Least Squares (FROLS) is another greedy algorithm which solves the least-squares regression problem (actually default is to solve ridge regression) with $L_0$ norm by iteratively selecting the most correlated function in the library. At each step, the candidate functions are orthogonalized with respect to the already-selected functions. The selection criteria is the Error Reduction Ratio, i.e. the normalized increase in the explained output variance due to the addition of a given function to the basis. See this [notebook](https://github.com/dynamicslab/pysindy/blob/master/examples/11_SSR_FROLS.ipynb) for examples." + ] + }, + { + "cell_type": "code", + "execution_count": 37, + "id": "dfee4e05", + "metadata": { + "execution": { + "iopub.execute_input": "2023-07-25T20:45:23.958839Z", + "iopub.status.busy": "2023-07-25T20:45:23.958263Z", + "iopub.status.idle": "2023-07-25T20:45:24.062080Z", + "shell.execute_reply": "2023-07-25T20:45:24.061429Z" + } + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "(x0)' = -0.001 1 + -10.005 x0 + 10.003 x1\n", + "(x1)' = -0.005 1 + 27.990 x0 + -0.997 x1 + -1.000 x0 x2\n", + "(x2)' = 0.019 1 + -2.668 x2 + 0.999 x0 x1\n" + ] + } + ], + "source": [ + "optimizer = ps.FROLS(alpha=0.05)\n", + "model = ps.SINDy(optimizer=optimizer)\n", + "model.fit(x_train, t=dt)\n", + "model.print()" + ] + }, + { + "cell_type": "markdown", + "id": "1a662acc", + "metadata": {}, + "source": [ + "The kappa parameter determines how sparse a solution is desired." + ] + }, + { + "cell_type": "code", + "execution_count": 38, + "id": "3b9d007c", + "metadata": { + "execution": { + "iopub.execute_input": "2023-07-25T20:45:24.065334Z", + "iopub.status.busy": "2023-07-25T20:45:24.065006Z", + "iopub.status.idle": "2023-07-25T20:45:24.164558Z", + "shell.execute_reply": "2023-07-25T20:45:24.163681Z" + } + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "(x0)' = -9.999 x0 + 9.999 x1\n", + "(x1)' = 27.992 x0 + -0.999 x1 + -1.000 x0 x2\n", + "(x2)' = -0.001 1 + -2.666 x2 + 1.000 x0 x1\n" + ] + } + ], + "source": [ + "optimizer = ps.FROLS(alpha=0.05, kappa=1e-7)\n", + "model = ps.SINDy(optimizer=optimizer)\n", + "model.fit(x_train, t=dt)\n", + "model.print()" + ] + }, + { + "cell_type": "markdown", + "id": "2cc3d9b2", + "metadata": {}, + "source": [ + "### LASSO\n", + "In this example we use a third-party Lasso implementation (from scikit-learn) as the optimizer." + ] + }, + { + "cell_type": "code", + "execution_count": 39, + "id": "2e2fd3c3", + "metadata": { + "execution": { + "iopub.execute_input": "2023-07-25T20:45:24.167781Z", + "iopub.status.busy": "2023-07-25T20:45:24.167157Z", + "iopub.status.idle": "2023-07-25T20:45:24.391392Z", + "shell.execute_reply": "2023-07-25T20:45:24.390330Z" + } + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "(x0)' = -0.097 x0 + 3.789 x1 + 0.047 x0^2 + -0.080 x0 x1 + -0.275 x0 x2 + 0.036 x1^2 + 0.175 x1 x2 + -0.004 x2^2\n", + "(x1)' = 25.449 x0 + 0.224 x1 + -0.007 x0^2 + 0.012 x0 x1 + -0.932 x0 x2 + -0.005 x1^2 + -0.029 x1 x2 + 0.001 x2^2\n", + "(x2)' = -2.482 x2 + 0.048 x0^2 + 0.968 x0 x1 + -0.008 x2^2\n" + ] + } + ], + "source": [ + "lasso_optimizer = Lasso(alpha=2, max_iter=2000, fit_intercept=False)\n", + "\n", + "model = ps.SINDy(optimizer=lasso_optimizer)\n", + "model.fit(x_train, t=dt)\n", + "model.print()" + ] + }, + { + "cell_type": "markdown", + "id": "a794a815", + "metadata": {}, + "source": [ + "### Ensemble methods\n", + "One way to improve SINDy performance is to generate many models by sub-sampling the time series (ensemble) or sub-sampling the candidate library $\\mathbf{\\Theta}$ (library ensemble). The resulting models can then be synthesized by taking the average (bagging), taking the median (this is the recommended because it works well in practice), or some other post-processing. See this [notebook](https://github.com/dynamicslab/pysindy/blob/master/examples/13_ensembling.ipynb) for more examples." + ] + }, + { + "cell_type": "code", + "execution_count": 41, + "id": "37c8672a", + "metadata": { + "execution": { + "iopub.execute_input": "2023-07-25T20:45:24.395952Z", + "iopub.status.busy": "2023-07-25T20:45:24.394995Z", + "iopub.status.idle": "2023-07-25T20:45:25.303883Z", + "shell.execute_reply": "2023-07-25T20:45:25.303171Z" + } + }, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# Default is to sample the entire time series with replacement, generating 10 models on roughly\n", + "# 60% of the total data, with duplicates.\n", + "\n", + "# Custom feature names\n", + "np.random.seed(100)\n", + "feature_names = [\"x\", \"y\", \"z\"]\n", + "\n", + "ensemble_optimizer = ps.EnsembleOptimizer(\n", + " ps.STLSQ(threshold=1e-3, normalize_columns=False),\n", + " bagging=True,\n", + " n_subset=int(0.6 * x_train.shape[0]),\n", + ")\n", + "\n", + "model = ps.SINDy(optimizer=ensemble_optimizer, feature_names=feature_names)\n", + "model.fit(x_train, t=dt)\n", + "ensemble_coefs = ensemble_optimizer.coef_list\n", + "mean_ensemble = np.mean(ensemble_coefs, axis=0)\n", + "std_ensemble = np.std(ensemble_coefs, axis=0)\n", + "\n", + "# Now we sub-sample the library. The default is to omit a single library term.\n", + "library_ensemble_optimizer = ps.EnsembleOptimizer(\n", + " ps.STLSQ(threshold=1e-3, normalize_columns=False), library_ensemble=True\n", + ")\n", + "model = ps.SINDy(optimizer=library_ensemble_optimizer, feature_names=feature_names)\n", + "\n", + "model.fit(x_train, t=dt)\n", + "library_ensemble_coefs = library_ensemble_optimizer.coef_list\n", + "mean_library_ensemble = np.mean(library_ensemble_coefs, axis=0)\n", + "std_library_ensemble = np.std(library_ensemble_coefs, axis=0)\n", + "\n", + "# Plot results\n", + "xticknames = model.get_feature_names()\n", + "for i in range(10):\n", + " xticknames[i] = \"$\" + xticknames[i] + \"$\"\n", + "plt.figure(figsize=(10, 4))\n", + "colors = [\"b\", \"r\", \"k\"]\n", + "plt.subplot(1, 2, 1)\n", + "plt.title(\"ensembling\")\n", + "for i in range(3):\n", + " plt.errorbar(\n", + " range(10),\n", + " mean_ensemble[i, :],\n", + " yerr=std_ensemble[i, :],\n", + " fmt=\"o\",\n", + " color=colors[i],\n", + " label=r\"Equation for $\\dot{\" + feature_names[i] + r\"}$\",\n", + " )\n", + "ax = plt.gca()\n", + "plt.grid(True)\n", + "ax.set_xticks(range(10))\n", + "ax.set_xticklabels(xticknames, verticalalignment=\"top\")\n", + "plt.subplot(1, 2, 2)\n", + "plt.title(\"library ensembling\")\n", + "for i in range(3):\n", + " plt.errorbar(\n", + " range(10),\n", + " mean_library_ensemble[i, :],\n", + " yerr=std_library_ensemble[i, :],\n", + " fmt=\"o\",\n", + " color=colors[i],\n", + " label=r\"Equation for $\\dot{\" + feature_names[i] + r\"}$\",\n", + " )\n", + "ax = plt.gca()\n", + "plt.grid(True)\n", + "plt.legend()\n", + "ax.set_xticks(range(10))\n", + "ax.set_xticklabels(xticknames, verticalalignment=\"top\")\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "id": "cd8ad22f", + "metadata": {}, + "source": [ + "## Differentiation options" + ] + }, + { + "cell_type": "markdown", + "id": "2ef3b42d", + "metadata": {}, + "source": [ + "### Pass in pre-computed derivatives\n", + "Rather than using one of PySINDy's built-in differentiators, you can compute numerical derivatives using a method of your choice then pass them directly to the `fit` method. This option also enables you to use derivative data obtained directly from experiments." + ] + }, + { + "cell_type": "code", + "execution_count": 42, + "id": "e5581ae0", + "metadata": { + "execution": { + "iopub.execute_input": "2023-07-25T20:45:25.306877Z", + "iopub.status.busy": "2023-07-25T20:45:25.306399Z", + "iopub.status.idle": "2023-07-25T20:45:25.330552Z", + "shell.execute_reply": "2023-07-25T20:45:25.329452Z" + } + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "(x0)' = -9.999 x0 + 9.999 x1\n", + "(x1)' = 27.992 x0 + -0.999 x1 + -1.000 x0 x2\n", + "(x2)' = -2.666 x2 + 1.000 x0 x1\n" + ] + } + ], + "source": [ + "x_dot_precomputed = ps.FiniteDifference()._differentiate(x_train, t_train)\n", + "\n", + "model = ps.SINDy()\n", + "model.fit(x_train, t=t_train, x_dot=x_dot_precomputed)\n", + "model.print()" + ] + }, + { + "cell_type": "markdown", + "id": "9e6a3bd1", + "metadata": {}, + "source": [ + "### Drop end points from finite difference computation\n", + "Many methods of numerical differentiation exhibit poor performance near the endpoints of the data. The `FiniteDifference` and `SmoothedFiniteDifference` methods allow one to easily drop the endpoints for improved accuracy." + ] + }, + { + "cell_type": "code", + "execution_count": 43, + "id": "a4ac3d9d", + "metadata": { + "execution": { + "iopub.execute_input": "2023-07-25T20:45:25.334790Z", + "iopub.status.busy": "2023-07-25T20:45:25.334311Z", + "iopub.status.idle": "2023-07-25T20:45:25.366243Z", + "shell.execute_reply": "2023-07-25T20:45:25.364818Z" + } + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "(x0)' = -9.999 x0 + 9.999 x1\n", + "(x1)' = 27.992 x0 + -0.998 x1 + -1.000 x0 x2\n", + "(x2)' = -2.666 x2 + 1.000 x0 x1\n" + ] + } + ], + "source": [ + "fd_drop_endpoints = ps.FiniteDifference(drop_endpoints=True)\n", + "\n", + "model = ps.SINDy(differentiation_method=fd_drop_endpoints)\n", + "model.fit(x_train, t=t_train)\n", + "model.print()" + ] + }, + { + "cell_type": "markdown", + "id": "6559ff5b", + "metadata": {}, + "source": [ + "### Differentiation along specific array axis\n", + "For partial differential equations (PDEs), you may have spatiotemporal data in a multi-dimensional array. For this case, the `FiniteDifference` method allows one to only differential along a specific axis, so one can easily differentiate in a specific spatial direction." + ] + }, + { + "cell_type": "code", + "execution_count": 44, + "id": "fe834423", + "metadata": { + "execution": { + "iopub.execute_input": "2023-07-25T20:45:25.370876Z", + "iopub.status.busy": "2023-07-25T20:45:25.370404Z", + "iopub.status.idle": "2023-07-25T20:45:25.862646Z", + "shell.execute_reply": "2023-07-25T20:45:25.861885Z" + } + }, + "outputs": [ + { + "data": { + "image/png": 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EQYA3v/nNuO6663DLLbfgmGOOMa4fc8wx2LRpE2688UaceOKJAID5+Xls374dH/jAB/rxyARBEAlIlorcrKJte6gyFYoyqFhlymkAN9dWpTLpa4X9bGvjryRVzrjgggvwd3/3d/jnf/5nTE9Pxx6qlStXYmpqCrVaDRdddBHe97734YlPfCKe+MQn4n3vex+WLVuGs88+u89PTxDEksAIEKdR8DaF2/VBZfJMoPpxgi5c0w+VSZiXtUfqvjSqO+OTn/wkAOC0004zxq+55hqcd955AIC3ve1tOHToEN70pjfhkUcewbOf/WzccMMNmJ6e7vHTEgQx8hgBAgWwTFf4WYbFHJ5Z1stpEPdBoLLm24ieuFY9b7VG9ZHOqaoKzKkiiCWKESBJVJmMTfLNHxaSZFub8RoGRmXKuqd6zsx55r0WW3P42s8+XFlO1UgpVQRBEN5AAlXmxp63K/g6hiWCwDU7yYPKlDeCoOs9YvKT09vU7bqLylTP2EMia6l96akiCIIoD5KkMjf2uJWn1zAMKlMPT8uFSxxUJl9G8KpVJuleGaQqiOd13y+oM6eKIAgiH0igytzY41Z98DEBo6EyeQi6FO9hqDgFT9B1u6dPlUmYHxjPLuwlPGcn0Qp4+o8gCMKCISZQo2AAT7btMYFi0GX3fX1GEHS7vy2iQJyXr/zng0CJ84Jqf+dIqgiCGBwMMUHSMQpkaRRUpswS3aCoTEXIkk+SZD0tlzXPrUyXlyS5zpfmBfp7UzPntxerpT0kVQRB9AckUEVuVtG2PSRQFQVdliJQwxx06byHpBhZnjNDFUrN1657UZkkAtXIuJcSo8R54V/bzKkiCGIoMAIkqecK0yiQJIVeG8Fd9hnETKZenpbLnCdcE+Y7ldW0772oTPrjxibzZCgQyV90rZF+drW2tUijOkEQgwISpzI39riVp9dQtcrUCwJVygNVscpU5gSddP+qVKYKCVRMkoT9rCqT8Uwdz9vlORXR0m1TCfmK/t6mUkUQRD9AAlXmxh63GnAC5Ys4uezXjwiCbnvbynSu8yUPkjS/YNClsUYiMvEcYT9HYuRKyAKpTGibpxMjsfwHcz40MtVIj6l7sfxHEER5jABB0jHMPqa+JIEDo3VaDnALtazytFxRklTRaTnAUWVyJkF6CTH9HPFanfx4VJlMEtaxvz4mkCq5TBh+abmS+4IgqSKIUcOIEKglf4Iu2ST/mqUYdOmLQPlUmSRvkzhPIFCuBvCM/VIqU6ESnrSvbV6yXVGVySzhSffqvkeg2aY611KpIgjCjhEgUcOsPCXblngNA3KCLnyUollLfTpBJ+1fRHnqHMsiejaDuM3bJN2rqhN0wjxj34YwVutYh4QQGRFPUlkvDtjMIl9qvkCSJMJlI1U6gbKujf7eRqUgqSKIQcIIECSAKpO2Sb75g+hjAryqTAPjY8q6rw+VqUIDeFGVyepjAsRSm1jqE0zhPlUm+TnT+0r3spGqVsX/NpFUEUS/QAJV5GYVbTvAKpMvAjWIKpMvf1Pn3x09SMn8jAiCoipTlQSqqMokES6drFjJlzZWT4/5VJnM+yM1ZiNmsJCvNpUqghgSjABJGoXTcuF2BV/HgCSBh49S8Wm5bmuHVWUyyIW/03JACZLUy9NygJPKlPe0nLEmQ6nKrTJZCJk7qcqY10G0WhX/E0dSRRBFQAKV92YVbt1DAjXiJ+jCJQ7EyafC1DlWVGXKOkEn7V91mU7aN6OsFu8rEB0vKpPkY8o4QScSo4Y5X9/Hh8qUVeoT53Vck9a2q83+JKkiiEwMMYEaBeVp4HOa4v3t84fiBF23NbZSm+3ZipTQxLWW53TxNnXZ1wuB0l63rdVKIDyTWBqLyUV6rXiCTiA1csxBxxzIZCUmRjr5cF7b8bqy1lrIl0SqzFOF2XtIa4MWKgVJFbH0MMQkSWEUVKaet1IZJZVpUHxM+lgWqatYZarqtJwxL6fK5HxaTlJsBA+SD5Up72k58176mPAaPapMthJe5nNK94rGWgEqBUkVMXoYAdKkY5gJ1MDnNMX36D5/SZ2g6zbPplRVFXSZV2UqQqCi1515gq6gymREC3QoRvr8TF+UzeydU2WSfUz6Hua6rmudyZcwz0FlylKgnMds96wAJFXE8GBEyNIwk6Rk2x6qTBVlMi3503L6WF6VqarTckBxkiSV6xoZ95JUIY8qU+ZpOcnsbSNQHlQm59NyjkqR+T4Jay3PZFWZpPsLxCxz3455zKkilhZGgDiNgo8p3K4PKpNnArWkTtBJ81xLaOJagThJe0j3suzrrUzXqTJJJS/hmcTSmP64riqTVP7qUJkyzd4SMVLEKUspshAYUflyVZFsSpErMapIZSpCtFALjGtBvdr6H0kV0T+QQJW5sefteqg8KQxLBEFmWc9RebLMz02gsubbiJ7N25Q5z0KgfBvAHefFbVhEZSkZklqt2CIIvOQ0ZREji1cps6xmU6os5Mt8DeYc4/sMAietFfdzVao6CZGzKhWk5+noXMvyHzE0IEkqc2OPW3l6DcNwWi5rn0E5Ldf1fvXuc1xLaOLauuM8N5KkUIosic12PahMEgkRy38w50P7EM7IaSqqMhU5LedMqgqqTGVKc85jGgqrTBJZMohzxzWkr0ljASMViIEECVSZG3veruDrWApBlz68TRlr7OSnYm8TIBOoqlWmAqqUNM+nyuSj35x5r/RYXpUp6xScmOvkSL4Kq0wSuclSpWxjAtFxNaVbVSYPBKofIKkiskEClfdmFW7dQwI1ShEEQOr19N0cLl0XT8ZlPGde/5SPMl0WgbKpUhKBKhJ02eFpyjpBZ1OqMpUix6DLVCaS9LwZZMU5gkAiMC6eJmm+dK8sUpObaLkpT6k5wrWuYzao+9foqSJ8gySpzI09blXiNQybylSELFWtMmWSkD6oTK4krKoTdI7zAv29EUmQ+irdPxnyqTLJ5mzpmSCMSWuledqY6LPqfKb0HqIqlEFqvKpMtfT8LFVIWttpAE9dt+znMj8TihyJGwsQ32z/IKkaRYwAadIxCirTKEQQhI9SUClaqhEEeVUmx30rJVAOKpMcVZDe1zWCwIfKJO+RDNniC7LVI4FAuZAv6V4SgSnhc3JViopGEITfWwiU8J9sZSqTWOsUYBOjGP5JxBgRstQXlWlQfEzh4uJrXe7rS2Fy3KdylakIWXJ5pixTuM/Tcvr3NpKUtwynr3Gc50Nlquy0nH6PvCpTBuFISE1636z8pdwqk2tZzVbWyyr1ieTH8uzx/IwyHNJjg6MySde6b29cV9W/RbdbFgVJ1aCCBKrIzTxv5+HZB0RlWrJBl857SATG8pwZqlBqvnbdtQFvbgLlGHSZqTIJOU2dKlPefnPd13bsYTyn61pzXbd9XdUenypTIQXKkUAVVpmE16DDlWg5oyKVSbRGBZZ50T1r7Wo/k0iq+okRIE6j4G0KtxtgAuXT25S137AEXbrOl4za0jXPEQSB+OzZ+0mEx7WElzuCANCUDe0eLoSoSASBRIxcgy4t6pHvCILCBnDA6qmyGbt1lCFaLmW6np+gy0ugbMqTpECJ85J71lSCulKq2FB5CDHEZGkUSNKo5DQlj1GRypRpHk9fL0ySiviYqlaZCpT/fJfp4lKcdM1i7DbndTxvl+f0qTI5n5bLPGkH4V7CWgdClOl3KkGWiuY09fK0XNd5lvlW6FKQc5nO7ZqLymSW8GrmHO16TW87Y1Wqoi8Llmf0AJKqMqjVSaCK3djjVgNOoAZFZcqpMIVLPKpMho8n5x5VBV1mleYUXAlUGZVJInAiCRMIjHj/jvnwqzKZpTnpOdP72ghZbgO4MK+UATzjOYuqTK6xBFUFXTpDIlBZRKpilUkiSzavVLd7pZQq9v4j8oI+pgLPNEqZTP32MUlrbGU4/XqRTKaiKlNGWc9OgrRBjyqTzcekz+9JJpP1pJ2+h3lPfa0PstTt2a1RAa7lOmms454Acmc3DcxpudTmXSD5jFwN4MIaHyqTdC9jrJ0e6yRQxpj6Oic8t0eQVA0plvwJumST/Gs8qkxeFCbAq8pUKYHyqTLZGvYa8wTy42oAt+yXRYzcS3gCWSqqMknERH9rGukxu1IkECMPKlO/DeDGmMVvlVWuS13T75+TQBnXBQLVUy+TTx+Tfj2rhBeRs0xCZFONLIRLH4v3yxrrIF8BPVXEMCtPybYlXsOwBF36NoDHa9PXnImTtH8R5alzLIvopZQqgUBlEbS8BCqv8pRFoIRgSjGCQCA6oik8/vDvTr6KRBBYiZFOoKxrkRoz79vxLJLaZCE8xjxosBA4aa2VkGX5pySlSCJw4rwhC7rU0Ul+PJyg068XUZTifW3EyVGBciZfNKqPJkbBxxRu5+F1jLqPqdvaYT0tp1/PqzJJ+1ZoAHeZJ+UwOZ+WE3KafKhMrqflsj1Q6tmEMQ8qU1Wn5bKeqR+n5VLXO+dljfmAz5wmx9Kcs1dJeJZCKpPF+ySSKtd7dZCv2rzw3B5BUlUxqDIVfKZeE6iixCmzrJe+XrnK5KoASfcX12aoTC7lv14TKAeVqVC/OSv50sYKqkzGfMd+c3avkvAafahMGXtICpSVkHlQmQoZwDvnd+4jXLeOpeYUOEEXz7ePFVaZXAmURII05FWU8qpMrl4pd1IVEehF2xHF8iCpKolRUJ4G/gRdvH+fCZS0tpcn6IDiQZeuJ+ik58woq9n2rjyCoNta9flhC7rsRQRBBqlKnjN9za42JWOiKd2V1NjmSUTLsodz3IA0pqEw0ep3BIH+DL04QSfMdynT5Y0gMMYEopVFaqyGcn0/2zXXPeJ5QXos+howUX1w0Tcykmvrgs+41E/QAW4qU5Un6KSxoipT1gk6aX+fKlPG/HheRlnNq8okeZtEYpK+V2b5raDKlFX+Ez1IjkqRT5Wp3Mm4jPu7kiSXe0lw/WeqUE6TehjpWnrbzmtd53lUmTJJkGv5zaYeFVCZ7OW/wLiWtYd5//AvsZdqgUrVaGEUvE2AdwLl5G/yTaB8qEy+CJRPlck1giBjXy8qU/S6MxUo4ZlE8hOrGOm1YqSAQGqcIwhEpUjdKxlzX9vxuoS1zqflsuaJ5M9xrcNYVREExvUMklR50KUHlamXEQTGPhailTuCoNv91X7akE+VyZXUxYTLGJPWKnJFUjXYGAUfU5F7Va0yDXO/OWksi9T5VJmqOi2XNc+mMunz856Wk3xBPlQmYQ9vp+WKqkw2H1O3PSxrM1WhgipTqdNyNoLU5brTNWNeRxkuC0K5zLxubitdE+e5npbLCrqEZV5OlakqA3j3eWmSZN0vMNcBSFQmSYESyZ9OktUe0TcL1aZ/klSVQUlCNQoq05LLaeqc51pCE9dmPGdBlckbgfKoMpkf5OnnFH1JAqkRT9/ZSJJBKqL7uvabkwiESFaEtQVVJtdTcJmn6lzH1L55iVaVBCrvP4s+GvbafEwZa2wqk+1of/c9hDFXtcfF+2TzMen3clWqjHndVSaZVHVXmbLLf4HxbMYaYd9YqWpLP0x/IKnqEQY6p8mXAdx1Pw8ESiROlvmFCJTLmgwPUjKv7jgvg0C5EKcCBnB3o7hAyARVKHmW6JqgYom+JP0taaTnWYmWY9ClcwNead9YFZPmpfcT51kITFbcQJkIAusJOmnM+PkIxKlj/pIIusyb0yR94AvP4iOCQB+zKV/uZbWMZ7IqRdI9BAKlZUZ1qkzm/bvfC1o5z0WpqvP03+CiVq+h5khIumyQb77nMt2SymmS5lWlMmWoQpWrTNprtrZaEZ4pk+i4qkyd5S/9mkCWRLO3RGo8qEzOpCqvUuRIdKzqkStZ0lAulsBNZUrxFl8EKXeZzm3My2k5HyqTq9pTQpUS17oqVQ6n5Yzvs8pvHlWmbFIleKQCc770nMFitemfJFVVY1hymlz2c/URGWvS1ytXmVwVIOm+PlSmDPWq8pwmgxio9yR9L8kDZO4bXXNVmQyVxRzLjCWwlNDk58yYJxGyDvUo00QuzbMQGB8qUxZZsxEeaa1oAIc0L72fOK/b37sh6wSdT5Upk/DUUvPKBF1KRCOVteTrpF0JlSntqRIIVOYeAjFqSWs9qkzGvRQJExQoQ5US7t8219Za9FQNLmo1d9I0LCTJtq6XmUy9OC2XOc+NJCmUIktis93u+1lVJrFcl35O1wa8EOIL8qpMvk7LeVWZMoiJl/wlaQzd5/k+LVdZGc41bsDRAC5unVdlkoiBc1kvvTbTvG1TmVwVKEtZz7X8l1dlcj0tJ5bQ9LXie+JPZZKeEyKp0jYW3pN4TXxPKlXDh2EhUNb56WtWhanLGjv5cXwmW7muzAm6rHu4qExFDOCO8wqrTPrnmJAsnjunySAGEqmRnqnzq0TghPkZ+/pUmUTFSCqhZalStjGREFn2M+YLpbnOvbrdS5pnG5NgI05VhloWVJkyT9VBGLOQKi8n7QrsW9TYrd/PpjIZPiZbGU4ia/p73JLWelSZDAJnEqPwesc1/Xqr+1oqVYOMes2ZGHkhUL4N4PE6RwI1iBEERU7QSfcvWqYrQqBsqpREoHIGXcoxAgKpcVSqMpUiKQ28Y212XpJAoBzJlzVmwEa+JFIlzZfulUVqchMtgUAJryF+NmkeMsZsKJLTFM/vPlZp0KWFwOQ+Qec4lhV90OlbKkaqJLVHmifdQxEHaW33Mpw1gkDYo+taUeVKky8xMyp+P9MEKp4nEShBARPnxfNJqgYXtWxSVYokKVStMhUhS1WrTL08LdflOV1IkrRvYJwgTN/L5bQcgMIqU6HTcpYSmrPKZNy341ky1J6ip+Wy1lrTw7NIlURqhGdyVpks5KcylclzTlPn9sY1kQSl9y1CfuJ9bUTDE1myEbjcKpNEeDKJkTnfuJcPlSnnablwnqBAxapU+l4+VCZbCc/4XiJVOuJ5isix/Dc0YNBlTgJV5gSdZd9Kgy47VKbc/eb0Mcegy7wqk1wak/bQ59nW6s+eHsvffsWcY8zLUHtyq0w2pSiDQLkTLY8qkytpMtYIBKpqlakMgcpQe4qqTL4M4M4qk00pcjaRC8SolZ5nM3vnVZnEcp1YLhTIl7GvQLR8qkxFVCnh2dPPS6VqYFGr12UC45tAjVoEgXWecC8XcziQn0CJ5Me+X2fQpWzYFgiMSMy01yElcAvJ4zalqlQEgdWrJBE4aR66zstdmutyL1eiJa61zK88gqBzH9uYDb0MurTN8x1BkEWI1BrLmOv8zAgCBwN6+H13pagfEQTmfSWlSik1acJliyAwrhv3jya4lt9yl+ky5ksEykGpYvkvJ77+9a/jiiuuwPe+9z089NBDuO6663DmmWfG14MgwGWXXYarrroKjzzyCJ797Gfj4x//OJ761Kfmv1mtBjQa2XO6od8qk/MewvyqVaYMxSivKiWrR1kKkEB0OnOaJMVGIDBSWS+LVBVVmdxPwaWJWalTdRZSU4QYlSE/TmsdT9DpEOdZ5mcib5mu7UagKleZxD2EsQwTtVeVKdOwbZsnkBBX75NNZcowe4sExnaCzofKJBnGBWIiq1I6qem+tjqVSZhvzGtnz2svptd5xMiRqsceewxPe9rT8Lu/+7v4zd/8zdT1D37wg7jyyitx7bXX4klPehLe85734IUvfCHuueceTE9P57tZJ2EZFJXJdb7kQZLme44gCMRnt+xhIUauJTznoMucKpO3CAKJVMUG8Ky13e+V1wDumv+UW2XK8FTZVCkdXlUmiQS6kiVfBKrinCZ5XnJPV5KUIlqSYiIpNpLak6UAFVSZnCMIMmIBnFUmS06TcwSBcILOZ9CluV8JYtQLAtVJpsT5gsqUSbQ6FTDpF8sfRo5UnXHGGTjjjDPEa0EQ4MMf/jDe+c534pWvfCUA4NOf/jQ2btyIv/u7v8PrX//6fDer1w1i5USSfPmYfKpMWaflHPf1qTIZZm9bGU5UgASiU7c/Z1GVqarTcsb3IoGpdZ2XtzSn379ISc5FZRLLcBKpsXmg9Hv0W2VyzWnS4aAy+T4tlxkfUFRlkkhVliqlPpi1IZ8qUzYxMucbe7TS87yoTJJiVOC0nLPK5GLyzluG059TJFAWYtR1PweSZCNIWffS0Vnua9Oo7g333nsvduzYgW3btsVjExMTeP7zn4/bbrutK6mam5vD3Nxc/PeZmRkAIYmquXqFuv0dQO5+c/qYD5VJIlBZBnAFVwKVV2UyPEPCfOu85FZVB1269puTT//pzymM5Y0ZqMoA7kFlciVLQxN0WVVOk22Odl9Xs3ehoEsXlcnVg+R6Lw8qk0yqBGJk6TenP19W8rhLTpMRzNkyr+nPlxV06VVl8k2gsshNXpXJlSzZIhLyzveIJUWqduzYAQDYuHGjMb5x40bcd999XdddfvnluOyyy9IX6jX3UMlBDrrs9Qk6wSieUp6EkpvzCbpM8qXmC0THIBUSqekkVfp8c515f2meNiaU9Wz5S7Z5xj8nthJeEa+UjaSJhMhyf2N+0H0PpMd6GkFQgkDlVp56GUGQY8x20s41giDviThX8uUjgqBMTpM16FKcLxCoIhEEeY3irkpVvH8GgbIqSu30PGlvV2UrXpeTQEn3ZPnPPzqbIAdBkBrT8Y53vAMXX3xx/PeZmRkcccQRIVFqam+hi8ok+Y2k63lPy+nfu5Ik6Zkcy2/Op+UKqkw9OS3nQWXKMpZXbQCX1oqES3xP7GOpa/o9cqpMfT8t1/UmHdfyKkz6dUkV0hGV/6wkSVJ2hGfxcVpOX1MmvqCUsdunyiQoRuJ74prTlKEyWXOaBAUqd/mtqjJd1h7xXvo8wQAuzqtYZep239R0Yd9ofhCw/OcNmzZtAhAqVps3b47Hd+7cmVKvdExMTGBiYiJ9odGQSY2rtyleJxCoLILmUWXK3bAX0AiMPi+9tqjKlGXOdg26tBIjnUBZ1yI1FnQ8rzFfUq8kAiPNg4aCKlPmfBupySJwRVWmKglUUZUpg0BVdoIur8pkITdZY87kK6fKJJMqSdkR5mUoRTFxkkiSba2gGGXvYSEwWSqTdA8XVShnr7rM/fKqTEVO0Nn2NdZWrDIZ0yxlPBfDekVYUqTqmGOOwaZNm3DjjTfixBNPBADMz89j+/bt+MAHPpB/w2YdqGufzC4qUxYJq9gALs4TCYykXmXNi57XVtbT1thUpl6eljPG8pKqCg3gXlWmDAJVeSZTXoUpD4qqTFmEx2IAd/YqCc9iIzpZJ+NKhVpaCVHWPFP5yQzGDILUmO20XOZaF5VJIDdZJTzpXj5Vpp6clvOhMuVVmIC+qExdFgjzLYSL4Z/58Oijj+KnP/1p/Pd7770Xd955J9asWYMjjzwSF110Ed73vvfhiU98Ip74xCfife97H5YtW4azzz47/81qNZNU2XKapL/3g0ABaZVJUpFy9pvT9/OhMmUSo4a5rvtapMZs5b+8KpOxL8xr3faQ1npVmSQCJxKj5B8j15NxXlWmIifo4vn2MReVqRSBkj7wNRRVmZw9SI77upMqiXx0308kRpZ+c/qaTP9UQZWpJpAQMarA1m9Om2eWSQVi4kKcihjAO6913U9a44FADbLKJM7PIEmda6lU5cN3v/tdnH766fHflRfq3HPPxbXXXou3ve1tOHToEN70pjfF4Z833HBD/owqICz/NbRPPJvy1DkHngiU5n1yzmnqVJSMZ0o/d2VBl7bSnahApVUkWW1KxsSTfq6kxjZPVNS675EZTGkb0+BCtIYmgqCqE3Rd5qfKdI7KjpcIAm2NGDNgu6YNidECNqIlzgvSYzn9UM4RBFk5Tc5KlUR0TJJQWQSBdt+8ylNPIwg697btZ7t/LwhUXuXJ9myua3uEWhAMwFMMGWZmZrBy5Ur8f0/8QzSbk/G4E0mq6rSctiavylTqtFxG1lJhlSmDLIklRIsBPHNexzXntVmqkM1sLpKfjP0KqkyV+Zi6bm6Bhfz4zmmykR9fp+Vy+5ws88qU5lx9UYVUphT5E8iK42k5MafJh8okkSD9Q7hqA7gOK+GS5gvPqcOnylSVwtRlTWGS5EhNAteIhGi/xWAeNx36HPbv348VK1a4rc2BkVOqeomgXs/MX7L6lyKVybnfnKgAualMYk6ToOJIviir2iMRI71zj/Na82umsuVMvoR5HlWmTF9Uxz0BFCBaGQSqg9O4xhI4w4fKJBEYgSxJa6oKuiyTq+Qt6NJFqRJIgHtUgaQeSWuleRIhUs+Wni/uIRKdNAnIymlyUpmKeJXKECgXBUjyNmXN67yWdQ8dNpXJSm48KEyZ9yiuMuUlTv0ESVUZNOtG7z8X5alMBIFkHpeIlljqswRdZhm2bXsUCrq0EbIOz5JxL1dSlUFgbPfIHXQpkLXMYEpx3yA9r2N+1/2kebaxvPBQpnMPpqyl5mWeoJMIifAcTllLzmTF/kzumUyWZ7LEAniJIMhaq7/HHUGXWUpVQmDSr0e6lzmWk+i4eqCEeannNeZlECirouTgbep23UrSBtjbBPRFeXKGTe3zCJKqEgjGG2jrOVU2lclmwDZIQJoYib4kR5XJSnQksqRIUpZS5Ex0iqlMWdlIrkqVs6JUVGXKJFUCWZLmSffyqTK5lugcCJK+bdYaK1mSSI0rgXJVmSzEKXN+5zV9ratS5agyySTMYb42zzWCoIjKlDKPCyRI8kWZzxRNcFWP8qpMWfNd+s0Z+3lQmYooTCVIUjLdo48JKEWWKidJAwaSqhII6jXT5+SiMtkM40jIVCb58qgySV6lzLKatG9elUma56oY5VWlssaKqkxSaU6HjXxJ87LG8qJETlP8GD5UJnG+NmZRmTI9RUVVJuGZ3MtqGc+UU2WST8GZ67rtKxu7o29cgy5zqkyi2bwEMTK9Um5Ey7rvoARdGs80wCqTJwP4QBKozveJStXgoj3RRGssHalgU5nEMpxUwssye3tUmQqRqrxKUV6VqQgxKnhartuYi8pUKUGqWmXKmO9VZZL2dVV7AvuY1eckrXXdQ1JsHEp44ZhAdBxUJt+n5SRjtw+VqarTcsaavCqTOD+DyFStMuVUmMIlg6EyVepjKkqSKs6Y8gGSqhIIGjUEY8mntVNOk6PZ27WE5kNlylKARLIkzfOoMjmX6zLKarbwTS8qUxkClXWCzqfKZCM8+r1EUpUxJqkHnUSjgNrjfNLOdV4nqRLvJRCojGf3qTLZfEzd7yUpRenX41VlEpWtAkSrc772TLlVpl6eoHPZR7+nMSWDGPRBZfJOoHwqSyURdDxL1YEHJFUl0B6royaW/5I5LkqVlwgC/fuMkmAn+SkUQWAhK0X8S6lnyluGy5iX9wRd13mdKEOgPClQqWgAXwTKQmBc1+aOG5CIToG1LifiXAmcjwgC47pAiHJHEEhkyfgZq+cUiFaR8lsnISqjVFUVdNmLE3SZazs/wHOqTt32tT2b49qhKM0V2qJakpQXJFUl0JqoA+OaUuWgMslqk7ZAIhwup+WAwipTT0/L6WOOZTWJLPb9tFzu0ly6hGZe736LvCSpzGm5IuqRy5grWXImOq4qk6XEKHuL9HulyUrR03LG/QRSlfu0nEG+cpKaqlQmH6flMudZ7l8xQQqn5VSZKjSAx9NGTGUaNJKUFyRVJdBu1FBrZilV0VdJqXJUdnK3X8mpMuXNZsq8lw+VKae3ScdA5DTF87uPVRV0mUVgvOQ0uRIi6Zkcy2quBvDCKpN0TSRhEvkSxjyoTLJipD+TQLTE9HBFdOxrC6tMriU016BLHypTv5PAu+0dry1OoAZGZaq4NDcKIKkqgcWpGoIJjRnYiE5MONKkystpOe16XpWpytNyziqTxavU09NyEmwqk/BvQr8ymfKSoCJkyanUJzxnKWO3eC+J6Aj7ia+xO4Gq6rSccT+bypRFglzbqtj201FUZfJ9Wq7fKtOoZDL12QDeF5KU99nZUHlwETRqaOvvoIvKlFGac1aFfKhMjmTJbva2zyusMvkiTT5O0AnXrSpTGQLlQWWq0gDurDKlnkkgF1kETiJGrfQ8G0myEiKJ1EnESHgmgywJRKuwyuSqGBVRpXyqTJl+J8d7xXv0WWWqiEAN1Am6YSvNDcFJPwkkVSXQbgLQyn8uSpXryTxvBnBRKRLWWub7Drp0Up58qU49yGlKzdPu6Wr2zk20JJVF8vbY1CaJhGStdb1HB0mpKoJAupexxhJ02csIAv0eNkLU0wgCYz99noXglCFQnolTMt0DgeplThO9TfpNqr9Hj0FSVQKtyRqCpJ+ym8pUgCyVKcm5qEw9OS3nw8eUBdu/ARKpka6L5MeiMkkf5BkEyjmnyZVUddzXOcNJ2iND7SmqMpmlObVHet/MCAJbLIGw1qYymQqYRELUM6WJSe7Tct3muZCqIiW0fuU0uTynsTY95lVlGpXTciRJQwOSqhJoN2C8g07EydHv5KpK6ShMtBwJVE+DLrOIlI0YCdtKqpA8L6fKlEWgbCREfw6fKlOW2mOdF6TmFVKZOnKaxDJcVtClcILOq8okXCtEjHyqTFneps5r+hpXAuVKeGwqkweFKVxSsco0bN6m8GFKLK2YOJE0ZYKkqgRaE0AwoQ04qEyZZEmty3taThvLqzL15LRcFtrZZTrfp+UkBSivyuR8Wi5LlVL7aUNFVaYstcclw8m4lw+VyVKGM1+XQFYyMpmcVaZUfEFOwqN/70qq8qpMPspwWffSUXWo5VLPZBp0AzhJkneQVJVAuwnUBKXKSpxsCpM+P0spGiSVqRMeVKbcPibtvq5mby8qk6sCpN8/JyHLqzJlmcitxEgnUBLREcZccprEPUTDtrZHrEplELKiKlMvCFQW0XFRmVyJmbi2zz6mLNJClSlaVhFpCjevbm8iBZKqEgiaUQlQwSWnKesEX14DONJjfQ+61GEhUJWdoMsgMPG+BfxLTqGWEglyJjpZ89Lko3Oe7wiCMjlN1ggCcb5AoIoEXboYxYsoVfH+jgTKNafJtq+x1vZMPfA2Web3nUDlVZ2A0TtBRwLVHTXBb1MBSKpKoN0EMK4NuKhMVZ2W6zbmA0IJLbkmPIZAdDKN4lH5z1pyEz7wpWfJe1qu65iDyuQcQpk5z0Zq0mM2lUk0bAtjpXKaMlSmlCnceP2BOUd/Pa7qkQ+VKctv5Eyq2o7zHIiIzcfkukfnfeNpHklSL0/Lue43aj4mEqTiqFVLnGwgqSqBoIE4MR1wJE4ZZGhgVKYMAlW5yiR94Guw+pccx3yoTO6kSlJ2hHnivXQCIz2TScgyla0yOU2uKlNnT7ssYtQWiIlLCa/bfi6EKJOESUTDA4FaQioTc5qcN65m3wohvRe1elX/Z++IPpIpBZKqEgga6PBDdRAoQFSe4vU+Iwi0+5sExmNOkyvRyiBQEtGxRhVYiFZmuc7mX9L367ymr7XdV7ymkYsySpVr0KWFVFkjCESylN5XNJS7Bl26JoD7JlAuJ93E+RnkZtQjCIAlT6CWInHy9Zr7QrQciZR6jloRG0sOkFSVQNAMEDST/4i8hloWymlyK9OllB8buemyb17yo8NFUcqbzaSPFTGAF1WZstWmiFRo/iXXSIGiKpN4gk4gBmJUgeSV8qEy+TKAd17rup+0xkFlyiI3FZMknqDr+jD516S28EyWBpAkjWIvPQM5CVQ/QFJVAkEdYhxCTxr2ZhCn1NaW+b2MIMjaz3sEgatSJXyou5CvUhEEWTlNBVWmyiII9DV5VaYiBKpqlSmLLOUlUJkKUPp6ikSRQBUmK0vBAD4spMk7qfFBpmqWI/geQVJVBnXIP5+8KpOtYa825junqRen5XL7nHLu61pWcz19l1dlkkuDAllxPC3nRWUyftYWUqN/kPo0gBv7ORIj63zhOXUUVZn6XYbrtne8tlgZDhggkjSIOU19JkjDQoyKwAuZ8kqgNNQdBYuSIKkqi7wqUxYxEratWmUqEktgJUseVCarj6nrPIHoWMt/gTAmrZXmCQpQ/BrS88U9RKKTJgFZOU0JSWsbexn3KOJL8qEy2UhKv4IuXefH65YYgSr6oU8fk3D70SVQCt5UKQcylXkvG5mq2UzM/kBSVRZ5y3SuBEpUlgrkNEmExHZNUnvUfs5kxf5MLmudjd0Z5MslgsBc60qIogHXCAIpp8l4/WkSIt/fgegIhCOzV51AtFLPa8xz3C9+RoFAZSlAruQnfqYeKE+W+VUZwI1p/SZQ9DYJtx994iRhKFQpQCNTvQFJVRkE6PIh1DGnc03nPB+n5bqNOXiK8s4HUPy0XNd5JknKVpu6q1LZ5T9/KlPufnP6deP+HlWmIqqULWZAh0+VqYiPqQRJSqbnVJlcvVWua/XLLvtUrTCFD1Ji6WipTEuVJLmgFJEqQ6CyiFM8LzrhVxfmq2t6DlIFIKkqg6CAyiReyxirWGXKJDCu8zyqTNmn4Mx13faVjd3RNx5UJrlcp90/JnAFiI5PlcmVQGWqRwVVpiwyNMgqUy+DLqskUFSZhNuTQLmgL2QqJ5EKl3QnU1DXxNNl/kBSVQL1RaDWEFQm6QPclUBJJMim9hRRmToVLUntydpD8Nb4VJky+82J74krqfKnMhlmb5vfyNWX5ENlyiQwal4GkfGpMnlQmMIlg6Ey9b0MZz5MiaWjozKRIPlBVQQqtx/KlUDp5T1xLFKoov1rrr+7BUFSVQK1Vk305dhUpsxYAke1x6fK5H6qTiBQGc9eWGWy+ZiAVMPe7veSlKL06ymqMmURIzm+wJFodc7Xnim3ylTVCTrATWXyoTB1WVOVATye1m8CxRN02m1JnKpAlUpUYT+U4IUylKhOBcoY08iXukc8RqP64KKFbFLVMVYqbkAiOgXW2kmVpM5036NQ0KVlrZcIgoycJrmspvYV1trKb64eKFelykfQpUSgfJ+gy5rXOdbvE3QZaxlBkLmh3/2cbkkCVTVykylf4ZtFyVROVQoA0Oicx/LfwKK+2EGSXVSmEmTJmei4qkxWtUkgHEaopaQUqfnlVaZSp+Xa0lpHUiPeNyep0iEauy376vCpMvkkSPo9jWkefUwAVaZ4i+EnSOFtSZL6iZ4SKB9+KFcC1Wik10hjag+W/wYX3UiVlTgJKlaWV6qMAdxFZXJu2Cv6vCTy5UFlCoT5rv3mXMtvPlSmrNJc517G/aV5HlSmfhGovN4mY21xAjUKKtMoeZvC25JADQoGmUw5Gcv1+TpZkpQtdb0uKFX16FpbL6X4B0lVCdRaQG1R+7ukynQSGOlaRllNntddKcqtVGV5oDwHXUrJ34mnSSKG0jNFE1yJUVVlOtcSWi+DLvsdQZD1TC7zu03zSaBGxRzO0hzRAd9EqlROVDwvp8nc6ovS5usESn3f0Mca5pgjaSwKkqoSaMwBzbwqU4ba4+6LEohOKz1PMmCn7mvs4UqqBLLiUWXKjBFwNIo7kyqfKpPN79TtOaV7xXuMpspUmcIEUGUqdVsSpmHCQBEon36oRlqpMsp6EoGSlKpmOBY0w7GgVe1/3yRVJVBrmf9NuKhMWbEAPQ26FLxNMgmTiI45v9tzFlaZek2giqpMvgiUZ+KUTPdAoDyoTH33NpkPU2IpVSZiMOCTTFVmLNevu57SSxnLYS/r6USr0aFKQSNT0bUADP8cWDRngWYzrTLZPE0iqTIM4GqdsG8G0bLmNFlUpqzTcrIvST2TsNaHypS3DNe5xnp/NZZBZEZdZRqF03Lhw+Rfg4rJBclS7+Djva64JFQEPc2LqipoUxvL7YeylfCARIEyVKmIQI0l94pJVTS/vUij+sCivhgYhzNdVKasfnOuEQQ+Vabsfncl1KOCKpOXhr36GlcC5Up44meqRmEKl1SsMvXDxwSMhsrE0lz16OV7rN+rzwRraIzlhXOi4OaHqusKVDTWTJMlXakKBFLVHqsb19oSGfQIkqoSqC+ig1QJpa6Wec05gsDxBF1m0KVw3xT5KhJBkNco7kq0Op676x4u3iZpX32Nq3/KWGsp/7nc05iW8aExiEGXVStPg5jTRAJVHfrcpibGsBGpcFGxvasylmv7GDlRdYF8KSJkKFUdZKqZJlUxkdL2kFQpRaTC7yOFaiy8V4ukanDRmA3QbOgf4OEXq8rk2m9OJ1oOp+X0e+VWmYr4knyU6ZxJleNpuQFRmZwVpooM4Ma0fqtMzGnSbjuiJGlQiFER9IFM+SZQpdq/VB60icJ+KJ1ABRKBGksTKDXW0knVeESmxsOxxYVqaQ9JVQnUFwPUJZ+RRWWSGjCLQZeiKiUQKA8qkzcDeLy/B5XJdV9jre2ZeuBtsszvO4HKqzABJFClbksCRZjo2ym9lFJV3BdllPVEtUkYkzxSzWbqHsrzFPuidFIVkamgoZMlpUDpqlQtupaMtRSpmoiulfGqOYCkqgQac2006oJSZVGZMvvNCQpUbvUor8pU5rRcJvkpSJIyvVIDTJKYyaQtHX6SNHIEaakSox6qUj0hUEX9UL5KeJIvyqMfylCgomutcZ1UKaUqeXZFnBSRAoBFNTYRzZknqRpY1BfbqNXzqUyu/ebM/Ccp/8iy1ofKlFnqo8rU9dkc147CCTpzCxKogcNSJVAKPS7vOZGpfrV/8WEsF1vC2BWoon6otmE2j1SmCU2BGjMVKCCtSoXfq2vRV1QLkqoSqC0GqGmeKpegS4MEScbyvF6lIgTKxagtzu9zBEFmCc2RQDHoMv894qUVkY4efviTOBE+4axKVUWm8uZEVemLqndXpQJ9XjNNnGKPlFKgmroqZfqiAF2VQnpsIhlbVKRqMvpabUwVSVUZ1OdaaDQ03uuiMlVpAO+81nW/zlJbD0/LuewjPSMKEKRu97I9m+NaqkyZG/rdz+mWI0CWSJCKo0JVapSCNnM3IAa0Ep5GGepm/lN43Z8fSi/h2QjUokag2tH3i1P6vOjaVPi71Z5lTtXAotZqoyYREhsh8kWgfKpMrsSs2/X4Xv5UppEmUH3wN41K0OVIECcdJFHlURGZ6skpPZ8NiAFRjYpJVNEGxPqYrkDFqpRAoPSxpkCgxk1VCkiX80RSpRGouJw3qY0pNWoy0MbC72NSVSOpGliEZnLtB6QIkdTQViQh0XxXApWpCgkEqozylHqmAfY2AYwgiLcYftUpvO0IECiSpuowKGSql+nlglIFIancajJ3bUDsmhMlkCofJvNFwRfV1pWqSfMaACxORQRKI1XtqbCa1JhaBADUsIAqQVJVArX5RfP/HFxIkqsCVCSnSdrXqdSWQcKsClBFZTpP5KbvJCl5kGLrQB/TQIJkqbfoN4GqKmizHzlRORsQA5BzouLTegJZ0tbGUQZj6TGbH0ov6ykC1RYJlPa7uCwiUJOL8dDyqXkAwIqp2XDdY3O4D9WBpKoMWkF+lSnzZJyHE3TSGFWm3PtRZSpz2xEgUSRO/cWAEynnnCgF3w2IpUwoySPVSaaEwE3DF9UI9zAIVEyqdA9UmlS1YrO5fiIvUqqMU3pIj012XJPKelOaAqXI1FTiax6bClWoZVNz8djKiEytnjgEAFhoz6NKkFSVQG1hwfwP30VlqvK0XAmSlEz3cFrOA7npO0EyH6bE0uEnSSNBkACSpEHGMBIolzJeLxsQA05+KKMBseiBShvQk3JdWpVqZeREFfVDtYwSXvi7W59KFKiJiEAt1wjUqsmQOK2bPBiPrZ14FACwaXwGADDbXMC/ojrkIlWLi4toNovzsO985zt49rOfXXj9wCEIgJZOahxUprwKEzDYKlMvgy6rJFBUmaJbkkARPYRHMjXwxnKbH8pHA2LAzQ+VswExkKhNurG8bcmJcvVDLRqkyvRDtZclCpQq5ykiBQDTEZlaPZUQqDUT4fcbJg7EYxvGw+83ju0HABwaT4hZFcjFkJ72tKfhr//6r7F169ZcN3n00UdxySWX4FOf+hQWFqo1ibniE5/4BK644go89NBDeOpTn4oPf/jDeN7znpdvk1YLccdkwI2QVBVB0OX+XnOaBukEnUKPCRT9TQMIEqjhgmdVakmkl9saEAsxB8YpPVXOU/P0/KcxoazXFAiUyokqokp15EQZY1o5rxWX88KvTU2VmuzwRQGaKjXxWDy2LlKlNo/vT8aaIala3wyVqoONauM/c5GqH/7wh3je856HN7zhDXj/+9+P5cuXZ6657rrr8Ja3vAW//OUvMTExkTm/F/jc5z6Hiy66CJ/4xCdw8skn41Of+hTOOOMM3H333TjyyCPdN1rsIFUuJKkqhanLmsIkaQn5mMJtPBIN+piKgwRptNAvAjXIQZtlcqKy/FBSTlSHH8os4UWn9ZrJc6rUcpFAGWSpOIFK/FAJcRqLvld+qJUagVoblfPWagRqY1TO2xB9BYD1ikA1krG1jXDNqnoo6BwYr/bfmFoQuEsDl112GS6//HIsLCzgcY97HD7+8Y/jZS97mTj3l7/8JS688EJ86UtfQhAEOPnkk3HVVVfhKU95ireHL4pnP/vZePrTn45PfvKT8dhTnvIUnHnmmbj88ssz18/MzGDlypX4/zb9Ppp1TdN0UZmqUpi67W17Npd1GCCVaYkrTOHtRoA4KZBAjS76QaaqMpYDxU/puTYgloiZrkDFXql0/hMkP5RxSs+MOZACN1sT0ljynJ3984AsX5Q2FilPgX5KbzIUI8aXJZUr5Y1aGSlQa6KvALA+KuetH380HlPlPEWkwu9DMrW2npQEV9ZDsjYdlUYPHGjjmCc/hP3792PFihXwjVxK1bvf/W68+tWvxvnnn4/bbrsNZ555Jn7rt34LH/nIR7Bx48Z43kc/+lG8613vwoEDB7Bq1Sp84AMfwPnnn+/94Ytgfn4e3/ve93DJJZcY49u2bcNtt92Wb7NWC2gL9VmelnPclz6m5LYjQJZIkpYOBiG9vB9+qLx984o0IFZkqZEmSz78UFI21KLYPw/avOhrZgkv/D7QTuSpfKjJSbsfat1kqCiti4iT8kIBXQhUpEatqmtG9agX77Ja8p5M1Cajr2Ph89QHqPwHhIrOrbfeio9//OP44z/+Y/zjP/4jvva1r+GKK67ASSedhN///d/Hd7/7XQRBgNe85jX48Ic/bBCufmP37t1otVqpZ9q4cSN27Nghrpmbm8PcXPKDm5mJpMUgEAnHoPSbAzwbwHVQZcp5qxEgTQCJ01LHAPuhKg3aLOqHKtKA2JIT5cMPZTYblnxR5ldADtpUZKol5EQ1JxPiIvmh1kTlPGUsB4CNkyFh2jAWfr6uExSoDY1kTJGpae2tW14L38+JWkJtxmq9DTkofLcLLrgAr3jFK/CmN70JX/7yl2MlKggCHH300fjEJz6BF7/4xd4e1DdqHXJuEASpMYXLL78cl112WfpCO0AgRd73IYIA8Kw8MYKgxC1JoIgRwyid0vOVE6Xu0RDmuTYgbnRXpfQGxFL7F0WcsnKilHol9crLHXeQkRPVjHOikiyoFR05UQCwbjJUo/RynvJGbWyGqtSGZuKLWtMIydeqerLvdPQSl2mkSZGpXhMpHaXufPjhh+Oiiy7Crbfein379gEApqam8NnPfhbPetazfDyfd6xbtw6NRiOlSu3cubOrovaOd7wDF198cfz3mZkZHHHEEQjaLQAZ/9gUVJkq8zEBVJly32oESBIJEuGKfhCoYQzadPFDGXEH6fwnawPiZrqsZyhQze5+qMXJ7uW8ltTqRSRQyb8Zyg9V04zl49H3ek7USltO1ERCkpQKpcp6ALC2Ec5TfijlhQISP9SyWsL+xqISX134DG5r7ePmgpDozQYh+Tvg+tlaEIVJ1b59+/DWt74V1157LYIgwIknnohHHnkEv/jFL3DqqafibW97G971rndhfHw8e7MeYnx8HCeddBJuvPFG/MZv/EY8fuONN+IVr3iFuGZiYkI+uRgE2R9WDqSn794m82FKLOUJuoEACRSRFwN4Si9zDynPKb4m+KI6roVr02W9VANi/botqRxIvFFSA+ISviiJVMVkSYo0sJTzxLKe1IBYy4mqR+U8MycqVKBWTSUK1JpIjdJzotaPpwmUKuet18t5jWi/yPM0LSpQyftkI1OKSAHAwSAkZ4pMDSSp+od/+Af8wR/8AXbu3ImpqSlcdtll+MM//EPMzs7iXe96Fz760Y/ive99L/7hH/4BV111FU499VTfz10KF198Mc455xw84xnPwNatW3HVVVfh/vvvxxve8IZ8G7XbgP777INADXhOU7IFy3R9BYkT4QPDokoVTS/3lRNV0GQuNiAW+ueZJ/LUaT2thKfSy/WynhS06WAyl31Ryb+FQUcDYiDxRS2fTMpvymSuDOZAYjLfNKETqAPGVyDLZB7SkqnIWA7Yy3kLQfKcc9H3B7WxA9FL2xc1Dnx0kEjVL3/5S7zxjW/E9ddfjyAI8MIXvhCf+tSncPTRRwMAli1bhiuvvBJnn302Xve61+H73/8+Tj/9dLz2ta/FFVdcgVWrVlXwEvLjNa95Dfbs2YM/+7M/w0MPPYTjjz8eX/nKV3DUUUfl2ygIohKg21wn9EFlGgWCFN52iEmSAskSURU8EKi+B232owGxPi+nH8ogUEKkgRprGdlRSm3SVCmHBsT697ZTelID4qZ2Mm+ZYCxfGxvLtZyoCaVA6WW9yFBekR9KV6AUgTqgE6h2+J7taS2Lx/a2wzzNXYvTAIBDc4sAHuh6j7LIlVO1cuVKHDhwAOvWrcOVV16J3/7t3+46t9Vq4YMf/CD+/M//HHNzc9i4cSM+/OEP49WvfrWXB+8nVE7VC5adhWZN+698gHOazG1YphsIkEARVWHUTum5kKkyviiJkGWc0rPmRFkaEKvAzXCsFo0JZb2sBsSWcp7e/kX1zYvJlHYyT+VE6cZylVS+2siJUsZyvf1LSJw2NRNVao3yRTUS8qVCN6e1925ZfEovUaM6y3m6L2oh8kMdNMp64di+dvJ+7o3I1J7WYfHYjsVVAIDdCyGpmn10AZdv/WplOVW5SFW9Xsc555yDK6+8EmvXrnVa89Of/hS///u/j1tuuQX1eh2Li9X23ekFYlI19RqTVBX9oB8UH1O4od/9nG9LkkQQhTDMQZse/VBiA+IiJTyPfihdbYpVqSwPVM6cqEXjRF6kRgk5UeNR/7xpvdXLlDKW6yW88Pv1Yk5UokApP5TyQgF+/VBGCS8q2e1rJyRMEaddrYQYPbywMvqajO2ej5Sq2fDrwmPz+NcX/9VghH9+9atfxbZt23Ld4AlPeAJuuukmXH311Xjb296Wa+3Aox0ANUcyQB+TdlsSKIIohWExlvcyJ6qqBsRAYT9UtgIlZUepa8ntXf1QqpynGhADek6UawNiFW2gESiVVN5IIhCUH0p5oQC/fqgD2svaG70Be9qJArVrcUX0dToe2zkfjj08l5ClvXOherV3Nvy6eKjauIVcSlVZ7Ny5Exs2bOjV7SpDrFRNvNpUqhQGSXlKNq5mX/FWI0CaABInYvAwomTKS05UEV+U1IBYyIlCTKAEj5SQHVXGF7UoqFJtUZVK50Q14v55STlv+WRIflTgpq5KqbLeBs0XJalSa+uqf54WnxC9tCI5UYpMzWmk6tH4lF749z3t5A3Y01K+KE2Vir5XRAoAds8tj74m5OuRQyGZmjkUvomtg3P48f94/2AoVWUxCoTKQBAAcPvgHQWVaajJEgkSMWzoh7E84759C9p08UNJBErvn5c3J6qhkyWzf174fbYaVcRYrvxQbS0nKq8faq2mRq2Nynkbo5yodWOJKqX8UDqBWlU/FH3V4hOi926ZpkApP1RWTpTkhzoQHfA6EOh+qJAQ7WyFypNOoHYuKAKVqFK7ZsPv985NxWP7ZsPvHz2UvMnzB8PnbM+G/y20D2k//wrQv9jREQRVpgEBCRQxrPCkRFWeE+VoLO9pTlSWLypWpQQCZZjNBQLV0T8P6NL2pSM7KtMXJZb1ImO5RqrqUTlPakC8ajKdE7V+Ui/nme1fdAKl2r6oE3oAMF2LfFHa+6nIVJmcqMe0KIP97ZB67Gknp/Q6y3nKHwUk5bw984kCtSdSoBSRAoCDh0IWO38oIX+ISFRjNnze2qxftbcTJFUlELQDBK6eqmRRNQ+TeVuSJYIYCLCEpw159ENlNSCWWr3EMQfCibwJRwJl8UOJBEoP2lTESSBQhxmtXoQGxFG8wboJqdVLdz/U2npiLFd98/QGxFO1kKQUKeHJfqjwTcnrh9o9m8zfF6lRM4eSN1QRqJbukYoIVF0jTs1D4c9HVS5bcyRVww2qTPlA4kSMKhi0GQ0JZToPfqhCDYiVAmX4ovz5odr6NUtOlG4sl3KixAbEUTlPESlAD9pM+6HWNKIGxNpbvSxnA2LdWH4oPqWXlCTL+KF2zqlyXqhAKS8UkPihZg8lPwBVzsPB5L+JxmzN+Bp+b36tJbawSkBSVRZUnoqDBIoYdYyKKtXhjaqsAbG+jz4vDtrsfkrPOJlnyYnKakCsyFSZnCjXBsRjcQPi5JN+OjKWr9X6562PGhCv0xoQq9BNo/1LQ6lS3XOiTGN5Pl/UnJFUrozlydo9rVBR2tXSvE8RgdqtqVI75sLS3m6tnKeUqX2Hwj0OaKrUfESgdFWqHqtSyc9EqVINjTgpMhVnjyYCYCUgqSqDoA1osmnxbUaAIAEkScTSRi+N5VU1IAbc/FACgRJzolwVKA9+qMwGxIosjenESMiJkgzlruW8OCcq/LewrilQE5EfSm9AvMrSgHiDHrTp6IdSOVF6OW9ZLXzQvA2Is3OiVgFIDOYAsGMxJEu6ArUrMpfvmkvmPRL5oEQ/VGQsx6zm34rKeWOHtLJehwIFJGTKIFVz4c+kEZGp1ny1n7ckVT0GCRRBjBgGhExVmhMVr02rSD3NiRJIldSAuCUYy9sWX9SioEC1hZyoRYNUqXKepkZ1lPPMBsSuOVFSA+KIQNUTpWptIyRk0/Xk3+JpoZynp5Z3QpXzFpGoZ4pM7dM+q1TfvL1a+5edsQKlh28qX1SiSu2N4g32zOrlvPCNPKiV8xZno+c8mPZFNSwKlEmg1Nfk2RWZUmPBAknV0GFkiJMCCRRBhBiW9PKKTeaZDYjFCASlNqVjDgxVqhGuCfR5DjlRpioVEagiqpRD/7zwetpk3oxyolTgpirlAVoDYq1/3rpYlUoUKGUyN3xRFpP5ciPmIDsnKqsB8f7o5ezTDGHKZG74oqLTeTu19HKlRukmcxW6qZvMZyMCZTOZq1IekPZFATpZ0sY6VClzLHphCwPUUJkwUej03yCAJIkgsjEKBMpXTpSPoE1bA2JHP5TRN69pntITCZRRwovGdLJkK+sV8EOtjMzlyg+1Vm9APG4xljd0AqWCNv3mREkNiFXfvH2aArVLyIlSBGqXlhOl/FDGKT3BDzV3SOVEaeW8OOagux8qs6w3Hxhfw+vpsXpEpuoRmapV3CqPpGoUQdJEEMXQ65woh/tW1oAYsJ/S0wlRp6HcdwNio/2LFLSplKrkvrFHSog2WMzri9LmtYWcKBW6KeVErZhIPv1V6Ob6qJy33jCWq6DNpNQXxx3Uk5LgynrUo0/zmU1GfihbA2IgIVMLgV7OC59ZBW6qjCggyYnao/miFJnSFagdKidK80XtjhSo/ZovSoVuLmgKVBB9b5bzwu8N4tShRplqkxrTy3oRgdJLfVFpTxEp/XtFquqLVKoIBZIlgvCHQQ/a9FHCM9Z69EPpxnLXnCiHBsRAcT+UVMIzIg3EnKjIZ6O3eon8UFMZfijV7kU/kdfph9IJlPJDKS8UkPTN043lE5Gx3OaFAtxzovZF5rC9UePhnZoCpfxQegPih+NoAy1oUyjhKT/UohC0KeVE5fVDNbVr9fmOEp4+ppXzagsmgdLHagvhz7jeSn6uVYCkatBA4kQQ1WJAjOXiPr1sQKzvndcPpc9XOVGNZH7sh8rKicrrhxLDN2F8BbIaEGv/xkZqlPJCAXoD4oycqEkzqRwA1nXkRKkTekDSN29ae+uWl8iJKuqH0pPKlRq1y1Cgwvl7BWO5nhPVUuU8IydKKVCOfihjzFSeDKVKqU1SWW9RIlUJSUZ0vdZqGV+rAklVP0ECRRDVYlRyouJ5xYzl4ZBQpsubE+XYgFhs/yLEHEg5UUq9Mst5SM2LlacSvqjmVLp/3nRHA2IAWBflRK03VKmQOG1sJqf0NkRkSsUcrKpr+0aPXqYB8SGj/Uv4Ova1k/dEkaldLc08vjhtfFUZUQCwez5tLFehmwe0/nlzgrG8Jviicp/S00hSc06V7rr7onSlqrYoqFKLpioVPnTLvEZSNUQgSSKI/oENiJMhWwNiaa1+0i4u8XX3Q4kNiKWcKKEBcWtCGivhh4oJVPLvb2BpQKznRK205ERJfig95iA5kdfdD7WslrwI15woWwNi0w8VkiTdD6VUKF2N2hURpz3xybxEgdpvaUCs50TVhJwoUYGy+KGac2lDeX1BH2sbYzpZSkzmyc9TEaea7pFaTM+D6jnYir62Wf4bXARtACRSBNFXDEg5L3MPyb8UX3MI3AT8NiAGEm+UYTJPq0ydOVHmaT3JAyWoUh3Nho2xrKRysRlxYHxVGVEAUI/IlJkTFX7ir5hMWIAiU3pO1HoxJyoylGtJ5Ykaldy3MyeqTAPiA1oDYhW6uael9c9rde+fp5/SU6U95Yvab/ii0sZyiMbyEjlR0phkKI/HIu+T5IvSVKaYTOnlP0WmWmmlKiFVPP1HEAQRYpAJlA8/VJkGxOJpPfuJvKJ988xeeekSXtzqReqVp8/rKOEZYyKBkvrmRSniRgPi8BPfLOGFhGi93oBYavUSn8jTW72EzGCl9tYlffOSh3fxQ+nG8kdjApXMUyW8nRmtXpQf6uFZPWgzJE42P5SZDaU8UCUIlBRpIBKonH4ogyyF71OtpTnwFYFq60pV9N62tLEgWqPIFUkVQRBLGr08pdfvoM0qGxDbcqIy/FCKOClS1TKaEkd5UXpPvQl1Mg+psSJBmy5+KN1YvnpClfW0Et6EUqB0Y3lkKNeCNn36oXQFKjGWJ69B+aFUzzwA2NtWDYgTshQHbRo5UY5+qOh0Xivqn6e8UEDih2roQZuOOVFNIRNKKus5+6E6y3mSKqWTpZhU6aqUUqO0ee22/LUikFQRBDE4GBVjedGcKFdfVFZOlNCA2JoTZZAqwQ81rrKjIgJlmM0jsjSpK1XRV8cGxHr7l3bcP0/7sBRyomIyNWkGbgKJGrVe758XGcuNnCiHBsSArkrly4k6KBrLk/datX0xynrCKb0d891zovYJOVHzWsxBW5XzYlVKP5kXkSpHX5TZ/sUxJ0opUPPpMl1tMU20oMhVWyBQOqlqS2NpQhYrVe2OrxWBpIogiP5g0HOipHVV+6F8NSAukRNl9UNJJbzxfArUoqFApQmU8kNNCn6oVVNJxlOSExWV9TQCleREJQrU+ijeYJXGIJQfatpQoMwGxEBxP5TZgDg6hSeczNMbED8cE6h0TpTsh7LnRI0fMomTe7SBNqZUKV2BUsbyRV2VcvRDSSbzVgchamUoUOp6EKTmBfqhMUWionlBwPIfQRCjhFH3RekwjOIOOVG+GxCPpUmVeSLPVKCAdFI5kCZTzr4oMScq+RBUoZsNMSdKOqWXKErKXC4pUCrmQJ3QAxJflArcBBIFakpToMrkRKnQzSTaIFGW9iyG3z+8qOVExcZyXYEKv5d8UQeNnKjoObWcKKlvXr2jnNfMMpbPp8cUSTLGFgUFKj6lJ5T1RJO5dEovpwKlzYvJlK5GxUpVdK3iU/okVQRBVI9BV6UGJScqyxflmBPl0oAYyDCZG0GbMMZc4w4WM31RUQPiyUTtKWoyNxoQ11X/PI2YRS+7TE5Ulsl8Tzt84SrmYJeRXh6qUg/NazlRKuZgTvBFzSZvsk+TudyAWDCbG74ooawXZ0LppT6PJnNDgRLmt5Xy1F2VMtYEwrUKQFJFEIQfjIIfqhc5UTY/lJ4XVVcKVJosSaf1MhsQS34oKdLAwQ+lEyjlh9J75bUtOVH6Kb1VkQK1ejIp69n8UJu0oM01KieqogbE2X6okBBJp/TUyTzdWC7lRO2z5ES1Z5P/FpQfqunBD5VNoNIKlJgTJQVtqjEffiiDGEUESvRKCSf9NAQdpCrQDgpUAZIqgiDKoR+hm8I9nXOiFHrZgFhfa8uJympALCWVSw2Ihf55LUv/PLPUZ341xqaEaxGZCrS4g1qkQGU1IFY5UesndQKVbv8it30JiZjUgFiRqSK+qNnoQ/eAdqpMhW6qBsRAQqCkU3qqnLdrTiNVh9LGclXOmxd8UboCFZvM9dN3EQ+tGyfyEM3rXs6TksqN03qxsVwjUK00gbLmRGXFHHSqR0CKTBkEykWBgkagdHQa1alUEQQxMBghP1SpEl7eBsSAmx8qK9ogPplXRIGyBG0650RFH0hG0KZqQKznRKUbEKu+eXrQZtLqJU2gdD/U2npIxPS+eaoJ8VQtJClFSnhSA+K90Zuyp70qHpMIlPJDPTyXlPg6c6KkBsQtTYFSfiipAXFdKOEV8UN19s3Ts6EUqcos4XW0egmvCwTKpx/KlUBJJEk64RdY5nsESRVBEHYMCJHquk9RMlWkAXGZnCgXP1SZBsQ6qYqN5UiPaSrTolDOa4un9Ew/lG4sl3KiVk2kjeUbJyK1aVwnUGYDYiDxQ63RZJmiOVGSsfxR3VgevSzlhQJkP9TDqqynndKz+aFmonKe3oA4LufprV7EmAPzK6CTJW3MtZyXav+iEWKLsbyynCjAzQ8llPWCjFKflUz1CCRVBEHIGBAyVVlOVC8aEDcsqhR0P1R3X5Q+JjUgdjGWh9+bXwG7KqV7pBSZGotiDqYm0+nlRk5UFLq5zuifZxrLAWBtVM5TgZsAsDaSaPLmREm+qDnjZJ4ylifrVOimCtwEgB1RCU9PL1dNiHfPJwRKhW7uO6TlREXm8jhw85Dui1KqVPIzaVqM5fWs/nlCTlRdyIlSSpVT4CaAzgbEAPL7okRSpalMgUDSLMqTsyplIVBBTOSoVBEEUQV6fSLPcl/nnCgFD36omhB34C0nKlal8vmhTAUqIktjOjGSPFD5TuTpkQYSgVLlvAnBD6WM5WsmNGP5pIo20Mp6EYHSFagNAoGarkU5UYYfqlhOlBFtIORE7WurEl6iNu2I4g12L2i+qKict0cjUHn9UHWhAXFTUKDqMVlKxhIFShor74dybkC8mLyfogLV2f5FG/PihxKM6ub1NIEKbMGecfmPkQoEQfjEICtQ0lrXnCjpukCIvPiicjYgBhJSpRvK1fWWYCxvW4zli4IC1c7IiVLlvLZGqtpCOU81IZ625ESZviipAXFEoOqaL6oR7jFdTz7UOhsQh99rJKUDejlvEeqUXji2T/tAVTlRKrEcAHbG/fO0sl50Sm+3lhO1a9ZsQAwk3qhDs8mbHIduCjlRpRoQO/iiAKChSneGHyo91pkTZQ3c1L+vKidKG7OW83wQqS5rqgRJFUGMMgaZQPkK2izqh3It4XloQAxoJ/K0eYowKaLlWsJbFEp4bZFAaR8ocQPihJgsF/xQKh9KGcuBtB/KaPUSqVHrjaDNcN9p7UeSlPCSB3X1Qx2K1ah03zxFoPZoQZtxqxeNQCk/1E7tRJ4ylisvFJDhh9IIlEvfvEKtXqRMKJ9+KEOV8lDC80GgOvcJF6SmDBqBkkBSRRCjhmEO2vSVE+UjaNPWgFgP1bTkROX1Q4nGcr2EZyvrZQRtjsUNiDUFKiJTq41yXrYfSvXMA7JyotIKlGtOlOSH0nOi9kUvfJdq/2IoUCraQG9AHJbz9AbEyg91QDulNx8RqDJ+KDFoUxEoyVgulvX0qAKPfqgsY3nFOVEGcvqhulzsfk3Yg54qgiDs8Bi6WdkpvaoaEGv7ZOZEdRIyo4TXNK+hS06URKqknKg4+iB5Tlv7l8W8vihtnvJDGarUlNCAODKXr9KCNtdGkQfrtXLe+ohMSeW8OO6gnqhYUk7UZOSHytuAGEhCN6WcqH3txNO0s4NMqcBNIAnd3DWrkSrVP0/zRT0WlfNU4CYABKoBsZFUHpX1dJIUvY1yOS/6Op+hSkkNiEVSFZGlIjlRnWTKsaxXWU6Uca2gLyoHMtUtzyCpIohhwiCX86S1PhoQa+THa06UoEAVaUDs0w8lJZXrxvK4AbGWE9WIc6L0BsSuOVH5/FCqb94yzUSuGhDbvFBAUs5TXigAONCOCJT2ubcvejP2ao2HbX6oh6Ny3l6hAbGUE7U4qz2nJSfKhx+qYZAlFXegq02SAmUaywHPfqicDYiNPXzkRBlD/hSoQQFJFUEMOgaESHXdx8Ub5csX1dmAGIDY/sXS9iX2RTWS+YGaVyYnqsgpvY6cKLkBsa5Ahd83xQbEWk6UMpZPaDlR6pSellS+TsiJUqf09L55KnRzuWAsL9OAeH/00vZphrA97ZAcSeU8XY3aFbd9CedLDYhnNQIVl/MOab4oHzlREqkSjOWxArUokSqh1UveBsT6dVvfvF76osJFwtDokSkFkiqCGFQMCJnqe3p5mZwoi8k8yEgvD4SYA8kXJZnMF2MFShtTxMmSXm6oUirmwGhArHKishoQq/55WgPiOL08UaU2RGRKjzmwm8zzNSA+JPbPSzZWZGqXpkqp1HIpvVw3mSsypUzmj2on86QGxLW4/YtGoPKqUhpJUplRdaHEJ8cdtKKvaa+U0T/Ppkp5MJkbqpTkqVLopSrVZU3uPQYAJFUE0S+MQgNiwM0PVVUDYqCwH0pvVJx4oKQSnr2sl9sPpY919s0TGhAvF6IN1hgNiCO1yTCWR4Zy4ZReth8qVHfyBm3qDYiVH0p5oQBgTzskRPopvYfFoM2QQKkGxIDsh1JNiBci4hToBErIiRIVKMspPSNoUxGoBX1MKU/dTeZGA+K8OVFGenmk7kklubx+qCwFquOasYdxfUgUqM77MqeKIEYMg6xAZa0VTuk55UTVBAIlEbO8DYgB95woRaqUsdzwQEmqVHdflJf+eUjUqHpUzpvQfFGHdQRuAkkD4g2GsVzyRUUEqpGU/5QataqefOAqb9QyjUCp0E3XBsRx/zztg1mFbu5pJT4npUZJCpR+Sk+V9fScqP1CTlRsLheN5SV8UdKYZCiPx4SYA/VVLOEJxnJXX5SlATGgkSlbOa+XxvIua+RpHsgUIxUIYsQxyASqlzlRkrFcPK1nV6BK5UR1+KGMaAOJQIm+KPMrkMMPFedEaaSmww+ll/CUsVx5oYDEDyUSqHpCoJQfaqX21iUlvISYFPVD7ddeVpwT1dYIlMqJipQoIPFDPaydyOtsQAxofigtJ6o1G/2MjZyoyA9VooQn+qJislTeD5XZgFgpUDqBkpLKffqh+lzCc9rHbZPye1QAkiqC8I1hzoky5nn0Q1XVgBiyH0oRJ1tOlF7qS6INkBpzLutl5EQ145yodN+81XED4qSEp8p5egNi5YfaoBnLEwUq2bdoA2LAzQ+lG8slBSo2lhs5UaaxHEj8UAcOJfvNzab75rn4oYyynpAT1bQ0IDa8TxGB0k/uFc6JqrIBsU8/VAZBGZiy3oASKR0kVQThC8OsSlWVE1WiAbHVF2WQKsEPNa6yo4ScKFGVgmUseUybKmXmRIXERM+JUk2IV2qn9FQT4vUTyliuxx2ExMnwRTXSZT0Vupm3ATFgz4ky08vD91O1fTHKeoIqpcp5prE83T/vsUNmA2IAaKtynuGHqhlfw+87vhZJLxfLeu3UWJwTtZgmWmJ6ed4GxGKoplDWy4g5iOdLp/Qc1ajkUr75ufbJv0n5PXoEkiqCyINBJk7SOh85UT78UFkNiB1zooKGEGkg+aGU90mKNBgXFCgbgZIaEGs5UfWonDdp5ESFn/SrphI/lGpCbPND6dEG61W0gSbBKD/UtKFAFWtADGT5oTSfU4capbxQAPDwvDKWp3Oi9hs5UaaxHIDohxqXynkqaNNCnMS4A12BEo3lwok8yQ8Vt39J1jr5obKSyn3kROnoQ9CmN2P5EBEnG0iqCCILA0Kkuu7TuaaILypemy7JZeZESeGbnWSqmSZVorF8LE2qzBN5FgVKjzmQgjY7yJS7L0r7IBMaEKucqOWTySe+Ct1UDYiBhEzp5bwkqTz6qrV/Ub4oFbgJJArUlGEsL54TpUI39XKeUqN26jlRi6qcp4zl+sm88HvJF3VIy4laVGqUlhNVz5kT1dTGlOepKahSidqkq1KCAmXpn1coJ6qTTPWyAXHnPvG8dsdf6YuqEiRVBKFj2AgUUF3QZhk/VEffPMlYbhAooYSnxlpGWU+pTWk/lNg3L2fQptSAuKllQnUay4GkhLdGD9qcUApUQpLWRSqUzQ+lZ0NN10MS0kTyPtkIlK5AJQQq3YB4TyshP3vbISHK8kPtjFPL0w2IDwglvFbUP68uNSDW++cJBKouBG26+KF0sqT8UDpZqktJ5bYSng8/lGQszzrVp+a7Eij6oQYKJFUEAQwMmfLhhypkLK84J0omVVIJT8+OigzlUlnPUKCQHrOoUSqEMw7XhEamhJwo3Viu4g1WGzlR3f1Qm7SgzTWNcJ7ND1WmAfFB0VievJ+SH2rH4ioAwO4FLScqLuelc6KUH+pRzVg+H5GpttGAWFKgFKmCNhZ99eCHknxRRk6UFLSpxtoCgfLgh/LWgLgPfiiW9YqBpIpYeuglgXK8Z24y1YsGxK45UXVFnLS1HWQqswGx0D/PmhOVFXOgxqakscjHoqlSNcFYfpgylgs5Uev1mIPxdPsX5Y1SLV8AYFU93EcFbgJJ6KbKiSrii5qNCJTUgHhPO1GUlKFcUqX0ct6uSJXao6lRikwdFBoQIz6ZlzxvXWpA7Nj+pSm2f7HkREn988o0IJZiDormRPXbF9VlTe49XLHECJQEkipitDHMClQ8z9EPJZjIvTYg1q7n9UO1x4ooUJZTelLQZoYfSpXz6nEDYj3awLUBcUiWNjbTBGptI4lDkP1Q4XswVUuYnosfak7zQMXGcu1lqQbEu1qr4jGJQCk/1MNziVfKlhN10MiJip7T0oC4LhCoZlbQ5nx6TJEjY0xFGgh+qDgnSidLrjlRLg2IgeJ+qFFu9UICJYKkihg99DInqipfFFA4J8qbL8oxJwrNNHGKPVK2BsQFfFGLHb4oAFAe68WMnChlLl8WG8uTT3wVuqkby1VZT1egpFN6KnRzjSa3FM2Jkozlj+rG8uhl7Wknb4Bq+2I0II6+10/p7VYNiOfSOVEzRk5Uum8e4nJe9PWQVtZzzIlqWHxRxik9SZWKS3e6UtWhRpXxRdkaEANyTpSDGjVyDYhJpDJBUkWMDpaCKuViMi/TgLhhV6WKmsyN9HJ1Wq+EL8rVZD42lc6JUibztVp6+foodHOd0T8vJE7rNAJla0C8Svt5uuZEKahy3pxxMk/FHSTr9kT1TGUwBxI1ykgvF3OiQjKl988TTeZxTpRWioz8UE1Lenld8EU1M3xRPk3moirl6ouyNCAGSpjMs4hUXl+UOcF+3XUft03K77FEQFJFDA96nVRuua9zTpRCL4I2bQpUVk5UrErpxEjqn1fMD2V4oGw5UVJSuUGgwn/cdZO5KudNaH6o5ULfPJUTpfxQG3RjeUSgdAVK+aF0AjVdi3KitPdzWS18wDI5UY9FH8JmA2JVwkvUJolAqXLennktJ+pQOmhTlfPmD6X9UHo5b0zwQzWjt7Eek6XkWqJASWO6AqXKdVL0gUaWWhYCZfNDLSaEVDyZJ7V/cWlArO8zqjlRJE3eMFKk6r3vfS+uv/563HnnnRgfH8e+fftSc+6//35ccMEFuOmmmzA1NYWzzz4bH/rQhzA+Pp7ekBgMDIgClbmP5F+KrwkKlHRdKOsZBMolJ8pXA+KxNIFS11vjAqka01Umk0wtCgpUO8MXtRgrUFpZT8iJUk2I9XKeCt3Uy3nrxsPvN02EJbx1WlL5pqist6aeKFVro8TJ6XrygTMdK1DJP50uDYiBhEwZOVHRB/OeqIa5V4s7UOGbBoGK+uft1o3ls+kGxDNCA+KFMjlRc51f7b6oRnwiL50TZZbw0mPWnChdKWp1lP2q8kVpY7nLeeyft+QwUqRqfn4er3rVq7B161ZcffXVqeutVgsveclLsH79etx6663Ys2cPzj33XARBgI9+9KN9eGIihUEnUD6CNqvOifLVgFiRJaOnXjE/1KJQwmuLBCpdwmtMJiRkuZATtSbOiUoUpY0T0ek7MWgzMpZrDYiVH0rPiUpKeMmDuvqhDgmtXlz8UA9rqpTyQ+klPCknSvmh9AbE7Q5jOSDnRLmeyOtUntxP5mnJ85agTS85Ua4lPAZtEhVipEjVZZddBgC49tprxes33HAD7r77bjzwwAPYsmULAOAv/uIvcN555+G9730vVqxYIa4jeoABIVNeow3063kbEOvz8vqhtGtyq5fuOVG2BsRAcT9UkQbEY3EDYs0AHqlRrn4oZSwH0n3zVEYU4CcnytUPtUtv/xKRqN1RWW/HXKJK7Y7KeXoD4n2Hwj0OaO1f5iMC1TJyolRZTwvadPRDxYGc82niVHkDYqC4H0oylvvKierYN5qYvh5fGpCyXo77EX4wUqQqC9/61rdw/PHHx4QKAF70ohdhbm4O3/ve93D66aeL6+bm5jA3l/xLNDMzI84jcmJAiFTXffqdEyURstgPpf3qduZESQ2Ixf55esxBuoQntX+xqVK6GpWcyFNztGvKF2U0IA4//Man0unlui9q7ZRqQKz3zwvJlEGgOlQpAFhbD9eqnCjdFzUZlfDKNCCWcqL2tRNP086ITOkeqZ0L6pRedG023YB4Zi4hUCp0U8+JCoT+eQ0pJ0r1zxNjDrSxeVOVCq+bp/QMVWpeIFBSA2Ip+kCMOVAkKSO9vCMnasn7ogrcl/CPJUWqduzYgY0bNxpjq1evxvj4OHbs2NF13eWXXx6rYERODAhxytyjqB8qI23cS05UTj9UMJYmS/r8lmAsb1uCNl39UIuGGmX6ofQGxI04J0pvQOyaE2U2IAYSAuXuh5qMvmqGbQGqnLcInUCFY/u0D0GVE7W3pZGlWIFKxpQf6mGjnBeqUMoPNWM0IA73XdT659lyosSgzQI5US5+KLEBsW4slxQoRYxsDYiB4n4oVwLFnCiiQgw8qbr00kszCc3tt9+OZzzjGU771QSFIQgCcVzhHe94By6++OL47zMzMzjiiCOc7rckMSBEqus+PnOisnxRkrFcbAnTXYEyTuk10opWYigXynq2nCiLsdwYyzqlFyeVJx8WrbicF35tCg2IpzVjedyAWOufty7Kido8nhCodZICpdq/1BNj0HT0cpdrxKloTpRuLN8fvSy9AfGedkiMjJwo1T9vQTu5p3KitHLe3g4yNTubjjYwjOURmWrqOVG5fVHSmK48ZedE1aVWLz4aEOvX8+ZEVeSLCocGRI0ikRp4DDypuvDCC3HWWWdZ5xx99NFOe23atAnf+c53jLFHHnkECwsLKQVLx8TEBCYmJrpeX9IY5qBND36oqhoQA8X9UEYD4gk1lkGWFNHSyZLySnnwQ60UGhCv1RsQj1uM5Q2dQNn8UDqByvZD6SW8uTipPCFQqm/ePu1E3i6hhJe0etFKd45+KJUP1Z6NFCiNQDU6sqGAHEGbthKeGHOQ0w+VRaAKlvDC68X8UGxATAwCBp5UrVu3DuvWrfOy19atW/He974XDz30EDZv3gwgNK9PTEzgpJNO8nKPJYMBUaN8NCAOlxT0Q1XUgDgcE0iVlBPV4YfKav+yKJKq6GtGTlRbyIlSTYjHhZyoFRNR0KZW1lN+qPWGsTxUo9ZrMQfJKb1krU8/lN6AWPmhzJwo1YBYD9qMPFCaArVD5UQJDYj1oE3lh1rQDOWdfijlhQK6KFC2BsQaWWrOpg3luf1QlpyomqhA6WbziJxKJbmqcqIKNCAeGAJV4L7EYGLgSVUe3H///di7dy/uv/9+tFot3HnnnQCAJzzhCVi+fDm2bduG4447Dueccw6uuOIK7N27F3/0R3+E888/nyf/bBiQBsTOvigdgirlJSeqTANi5Ysyog8kAtVhQIeeCVVPjVkbELv2zxN8US0jJyr6ENbKecpcvlw7pafM5etiVSohUJtU/zzDF2WezAOS0M1V9eQDV/XP01WpojlRB7QP5X3tcL89rURZ2hV5pKT+eboqpcp6Rk7UbLp/Xmwun9VzosxTek2JQLn6omYzCFQ8JsQc6KRKPJHXQaZcfVF5GxDr17PKean5vfNFOe3jtkn5PYiBwkiRqj/90z/Fpz/96fjvJ554IgDg5ptvxmmnnYZGo4Hrr78eb3rTm3DyyScb4Z9EhGFWoOJ5nnKiXPxQGQpUTKAayb0CNS8rJ6qgH6pMq5eWcSIv/F4P2lzmmhOlUsvjVi9pBUollgNJA+Jp7a1bHhvLE2Li0w+lvFCAlhOlt3qJ1KhdhgIVrpEaEM8aDYij/06MnKhIjbLkRBkKlBRtIPmiBGN5rEAZp+88+KGUAtVKEx6DaPUjJ4oEihgA1IJA+q+VsGFmZgYrV67EaXgFmhkniIYCvW7/UjGZ6mlOVIEGxGL7l7E0gZJyopRCZZbzYMxb9OSLasa+qOQTXJnL12g5UeuinCi9nKe8URuboRq1QTOWJwqUtm/0cvI2IAYSMnXIaP8Svo597eR9UmRKUqB2iTlRaWO5Ct08YDQgDv8N0HOiapECZRAoh1N6ki9K759XF7xS3nOiWhKp6lCjxKDNDGO5tFahl6f0SKSWNBaDBdyCf8b+/fsrqVCNlFJF5MSAqFLiPr3wRfkwmetkyeaLMkiVVMKLvFJNjUC5msw7xgo1II7UqDFDlepuMl+vlfPWj6teet1N5npZT5nMp7X31bUBcV6Tudn2xTylp6tSu8QGxNHJvNmEkSqTud6AODaZu6aXW3KipKRyKYTTLOu1U2PW/nk+TOaiiVwo62X4ouL5kirlSKCSS/nm59on/ybl9yCGEiRVo44BIU65/VACgbJ6oQCRQMV+KImQlfFDNTvIlTYmB20KxnLJUC42Hs4o53XEHOgeqJaQE1WPjOWTRk5U+Im/YjIhUMoPtcEI2pRyorL9UNOGAhU+aJkGxLIfalU85uKH0st6yg+138iJShvLIQRtjpfJieoYa+hJ5XOqhKerUuH7KeZEiWQpbUD3kRNljTbQ9xjloE0SJ0IASdUoYkCIVNd9XMp5Wb6oeF1aRcr0RUnhm4o4aafK4jKeEHPgowGxTqDaUtDmuKRKRV8tOVE6qQqkBsSTkVI0JeREGQ2IQzVKNSAG9KRyjWhFapTyRYXfh8+gFKgpw1he3Bd1IHppek6UUqN26jEHi1FO1Hwytisu54VfdV/UgdlwP91Yvig1II5P6bnlROnG83pcztPmxW1f0r6ohqRAWfrnec+JMkzmHWSqh/3zwqEBIVMkUkQGSKqGHaNAoIC0GtXLEp7+vZQTZfFD6WqTmBMVESOdaEltXcoEbXb6oZpCq5cVQglvjZ4TNaEUqKSEt04Zyh39UNP1hDg1Eb5PNgKlK1AJgUo+8JUfao9WwtvbVg2IEwUqDto0cqKy/VB6Ca8V9c+r6TlRSoHSS3iOOVFNIRPKpW+eTpbqUlK5rYSXtwGx/n1eP5RrCU8Hc6KIJQCSqmHFgJCpynKisozlZXKiPPqhzP55Qk6UijmY1BWo6KvjKT3deB63fdEM5Z05UbqxXJXzjAbEE8pYrrd/CYmTpED58ENJDYgPisby5P1UCpQRcyD4oXZEapSUE7VPyImaV4GbRgNi6WSeIlXQxqKvUk6U5IfSx8SYA1ON0vOfaotpUhWf1msLBMq1AXFVfqgCOVHJpfJ+KJb1iEEASdUwwNPpvGQ7BzLV7/TyIg2IpbUqvsDwSkVkqamX+tRYupxn5ER1+KEkAqU3JV6cFLxSzjlR0VctaDOIVKmaVs5T5nKVE7VSa0As5kRNRAqUpkolviitf15HA2IgCd3MmxOlq1KzEYGSGhCrwE0gIVCSKqVKeQCwKzKX7zmkxRxETYgf1U7pdeZE6UGbdakBsWP7l1iVEkiVmBO1kCZVLoGb+jxDWZJiDpgT5QYSKMIzSKoGDcOsQMXzHP1QQqimlwbEOllqpMlS7IcSgjbNpHLlkdK9T6YfSgza1AmUIkYSgRJzoux+qKm4nJd8qq+MgzZDRclsQKyiDewESvmhlBcKSII2p2qJ2lPUD3VA+/xTDYh3acbyPYshSVJeKEA3lusKVNoPpXKiDho5UdFzaifyOvvm1QUC1XQN2tRjDiJiZIwtmgoU4OaHMgM3BQLlswGxPi+vH4oEiiBEkFQNApgTlSZTUuBmli/KMScKMYESynp6IGesRunEKSJVceBmsq3cUy/6KihQi5k5USEhmZxMVB7ljTJzokIypcp6ugKVtH9JxtbWVf88jZhFL7tMTtScRqoejU/phX/f007eANX2Re+ftztSox6a13KiVAPiOcEXNZu8ySp0s2Wc0lPlvOTn2ZkTldk/z+KLMk7pOTQgBpLQTaOcp8hUK9rPFrgJJCRJUqDyNiDW1zAniiC8gKSq1xhmAuWhATHg6IeSCFRT+8/VtYRnaUCc6YcS1SgYY1nGcuWH0nvlxQRqMvkAlfxQqtXLaq2cZ/NDbYqCNtfoJTyPDYiBPH6okBDtFBoQq6Ry3Viu/FC7NQVK+aGkEl57Nu2Haub0QxUjUGkFqrOEF35f0A/VgwbE1hKetp95fQj8UCRQxACApKpqePRDDXXQpqsfSoo2iMd0E7lgLJeSyqUGxBY/VGY5b0L+CgCtKWksOoquBW0qP5StATGQ+KHWT+oEymz/AqTbvqyqJyRMakCsyFSRnKiifigzaDNSqrSgTeWH0o3lqpw3r53SQ5xUbvdDNaO3oG54nxDNUwQquSaRqqTZcLrUp/fPswZt5vVDSSW3qhoQ69eHTYHKcT+C6CVIqqrAgPiiMveR/EvxNcEXJV13bUCcNyfKFrgJeMmJalv65+nfG6fvOsp5OoFajJPKtbKe4Isan4yIjhZzsGrK9EUBwLrx8Hs9J2pdnBOlkaqITK1thHtM15MPm+n4ZF7yq160ATGQhG6qwE1ASypvJWqUIlEPR6rUbt1YPptuQJzkRCVv6EKZnChrOc/8ezimyFI6J6omGculBsRi9IHkh8qZVO7LF9U5v3Of+PoAkykSKWLAQVJVFoNOoHwEbfYiJ6rDDyWV8Eo1INZVKUc/1KJQzlOZk4tiq5c0gVou5EStmkgTqI3qRJ7U6kXwQ63R2EJn37yJWvIi8hrLHzUIVPg1yw/18KIq52keqQ4/1CP6ybyIOOkNiONynnYiryHGHJhfgeLlPJVYDugn87TkeYuxvLKcqF42IA4XCUMkUARRFCRVZVCSUI2EsTxvA2L9eiNd4rMGbgq+KH1MakDcaSwPx5Aes/XNM0zmKicqbSwfi0I3pya1nKgpIScqakC8TmtArEI39fYvayMFSgVuAsDaqJ5ly4ly9UXNGUnlylierN0T1TNV4CYA7IgUqN1azIFqQrx7PjGUq9DNfYciX5RmLFehmy0jJypSzzQC1bS0f6kLOVHNjJyoekdOlLcGxHlzokRSlc8XpcPZWJ7XF2VOsF932cMVJFPEEIOkqmI4E6dkQb49KgraFEt4rgqU5IfST+TFqlR3P5QtG0r/Xmw2PC6MOZ7IE/vmaSbzelS6m4j8UMu1aANlLF8zoRnLJ1WzYc0XFREoXYHaIBCo6VrUN8/wQ2X3zStSwtvXVh6oRG2S/FAPz4XX92gEyskPJZTwxjRVqlmwhGeO5fND1VoZBEoZy11P5PnwQ7GERxBDDZKqCtDTBsQ+/FCaiuQlJ8qDH0q/1hKM5W2LsXxRUKDaGTlRrn6oiSmzb54ZtCnlREkNiCMCVddP6bn5ofTU8k7YGhDv0z4MVd+8vVr7F9U3b7de1nP0Q6mcqEOzyZsc+6EOKgVKL+t1V6AyGxB79EMZHihJgVJkyUMD4nDIoZzXy2iDLmvkaSRTBOECkiqP6EtSuTGvWDmvlw2IAZ1Adc+JEn1RRVQpx/55rTgnKvmHX+VETRjlvPCTPm5ArPXPW6dyojRflArdNHxRUeTB2noiy0xHL3e5EXNQLCdKakC8V3tT9rQjY7lBoEI1SsUdAMCuOOYgUaVU6KZezjso5kSZZKqpGcvrQk5UM7cqpZGlnDlRsQLVywbEgNMpPfqiCGK4QVJVArV6DTUpKdycZF3vNN93TlSnH8p3A2KdLFlyomx+KGdjuU6WbGW9jKBN5YdapieVR36o1UY5z/RDbZSCNhs6gaomJ0ryQ6mcqH2aArVLyIlKWr3oDYhD4qQTKOWHOnAoeUPnI0O55IdqWPxQmWU95YGSjOViWc+DH2pRIkvV50TpcFKj2ICYIIYGJFVVoB8NiIHiOVFZDYhV6GZWTpREqqScqLgpcXJfW/uXxby+KG2e8kNJp/T0nKhlkRq1SivnrY3UqPVaOW99TKYiAqU3IFbtX+qJL0rKiZqM/FC2BsRAQqYUkQKS0E0pJ2pfOyRBKnATSMiUrkCp0M1dsxqpihSo/Zov6rGonBf3zAMQRGTKLOdFp/R0khS9jbIvKvqqEyjXBsQiqSrYN69EA2LmROW/L0EsBZBU+YRPk7nvnCibGuXqi9LvJRIofyZz8WReZgPiwPgKJKSqrudETXU3ma/TTumpJsSbtHLeurGQRG1q7gvnNJLynzKZr6onH7iqf17eBsRA/pwolWK+Q+yfpxGtqKz3iEaglMlc75/X2YAYSMhUPafJPNsXJRComFQJMQdSTlRek3m/GxB37hMuSE+nL4oghgYkVWVQqxvEyEmFKtKA2DUnytY3zyBV6vRdWoGKCVQjmR+oeWVyonL6ocRoA7EBsa5Ahd/rxvJlUk6UIlCaH2qjOqWnlfOkoM0ktVxFGyS3Xx4byxNiUrQBMQDsj16aMpYDbn4oRZqApJwnNSCenU2IWVzO007pecmJknxRgrE8VqCMTCilSgmtXlz9ULa+eS1hfp9zokigCGK4QVJVEkOdE+XYgFhs/yIoUFJOlFKqzHIeUvNUarlr3IGUE9WMc6KyGhCr/nnJ6TtlLt/YTE7pbYjIlB5zsCoKSOoM3ATyG8sPif3zkvdEkSk9qVzFHOzScqKUGrUzavui+6JU6Oaj2sk8qQFxTfBF5T6lp5EklRlVF7xSzjlRUv882yk9g1Q55ERlNSCWPFUKo9qAOMf9CIJIg6SqBGr1Wm4/VGUNiPV9cvqhpGgDsYRn+KKUsmSPOcjth4qN5dpRdEsDYr2Ep+IN1hgNiCO1yQjaLOOHCtWdMg2IlR9KeaEAYE87JEQqsRxIFCgzaDMkUHsMNcr0Qz1qtHoJ7xHoBErIiRIVqI4GxECXoE1FoBb0MaU8SWW9dGkud06UkV4eqVGSp8nmh2KrF4IgPIOkqgw6DeQufqiMsl5MoCRilqVAFcyJEhsQG5lQkirVPSfKhx/KCNxU0QZTCTE5LCJTq4ycqJAQbTCM5VJOVESgKvJDSTlRB7QPZuWHUl4oIFGjJAVK8kPpOVH7O3KidGM5RGN5iZwoaUwylHf4ocyTebYSnmAsL5MTZfND9dtY3mVN7j1cQTJFEJWDpKoM6jWTJNnKefGadFRBz3OiOkzmvhoQi6qUc05UpApIgZuTZuAmoOVEGQ2IVU5UQqpEVSqKPFC+qPD78P56OW8qIlNlfFEqJ0r3RanQzZ1G/7zIF6X1z9s1r3KiElXqkblQjZrRYg6UuXyxTANiiy+qKYzpJCku8QnESREtqX9e33Oi2D+PIAjPIKkqg1pNjipwDdr02IAYKO6HaullvYgk6URLEahFgyzlLOtl5EQ145yotLF8ddyAOCnhrY8JlJYTFfmhNmjG8kSBSmpYPv1QB7W4A+WH2qc1IJYUqNhYbuREpYM2lR/qgFbOm5tN983r9EMZBMoxJ6ppaUBstHop2jevqgbEQGE/lDOBYk4UQRCOIKkqgVq9nv+UnqcGxNacKINUCX6ocaVQRQQqq6wXn8iTxpLHtJ3SM3OiQmKi50SpJsQrpQbEE8pYrrd/CYmTpEDpZT0VumlrQAzkz4lKjOXJe60UKKOsF6lRev88Vc5TxnIg8UXp/fMei8iUakAMAG1VzjP8ULWOr9CuRV8FX5QUaZBd1munxuKcqMU00fLSgFgM1RTKehnlvHi+dM1RgUou5Zufa5/8m5TfgyAILyCpKoNGwyi/OfmhijQgdijhAUDQECINJD/UuFm6k31RySNZCZTUgHiZlisUmcsnNT/UdEScVk0lfijVhHhDbCyXSniJArVeRRtoDEL5oaYNBSq7ATFQxA8VncITTubpJbyH55WxXGtArIzlRgkvfHMXjFYvaT/UuOSHUkGb1mgDYUxXoDqM5UAOP5Q6nddK1qb8UD1s9QL0wA9FBYogCAEkVWVQr8tBmzY/lGQsb6ZJlWgsF4I2Xf1Quvep3dF42MyLMr8CWTlR2geZ4IeajMp5y7X+eZIfSpEpUYFSeVFa+xflh1JeKCBRoKYMY3m1fqiHxaBN/WRe+L2UE3VIy4kS/VA5c6JUCGfdiDaI5mgKVKI26aqUoEDFp/Q8+KGqakCsjeX2QzFokyAIzyCpKoFarW6qUvW0opQoVUqBaqbnZ/iiEBOo7g2IAc1QrpOkmFQl2yV+qLxxB5oqJeZEhYRkMjMnKiRTqqwHJKGbkiq1tq7652nxCdHLLuOL0vvnPRqrUsk8Raakti8q5kBv//Jw1PZlt6ZKqXKebiyXcqIQE6jyp/TE/nmGL0oo6zk0IAaAWhRfUNNUKXS2fwHSqeVSUnmWLyqvKkVjOUEQfQZJVRmMjwEN7fi6gx9Kz38Sc6IsDYiVFyocE/xQYjkP6bEONUonUCqEU480aFtyopSxHEjiDVYbOVHd/VCbtKDNNY1wXlUNiA+KQZu6HyqKKtD8UDsWVwEAdi9oOVFxOU8ZyxMFap+QEzUfKVBtowFx+MxNQ4Hy54dqCMbyzJwoKWhTjRlkqaAfqsoGxH3wQzHmgCAICSRVZVCvdbR4id5Oo8SniFOJBsSxAuWYE5VVzosjDYRrEZkKNGN5TTCWH6aM5UJO1PpJnUCl278oFUq1fAGAVfVwHylwc1kcbZDfFzUbESipAfGedkKIlAIlndLTy3m7InP5nkNpY/lBMSdKncxLnrcuNSB2jDlodrR/CeeZypNxWi9u9SIYy/M2IAYK981jA2L3+xEEMbwgqSqDRt0s5zmYzKX0cskXJZEqsVfeuKPJXMiJWoxP5mlxB4IvanwyIjp6/7wpFXOg50RFZT0PJvMJrYRXVQNi3WSuCNTDWjlPxRzsEnKilMn8oJFe7iEnyog+CIxr5pimPHXkRJklvPRY3IBYIlU6WfJpMmd6OUEQSwAkVWUwNg5MJGYlFz+UcwNiXZWKCRTSYxqBWhQIVLuDQAHpnCidQC2PjeWJPKL8UDqBUmU9XYGy+aHWaHKLnBMVvri8xvJHDQIVft2j5USpti9GA+Loe/2U3m5VzptL50TNGDlRHX4oI9pAIFCOOVE+/VB6A+LkZF6Pc6IYtEkQxBIESVUZNBtd/FDdc6J0UiU1II6N5Tl9UUCOnKgo8mAsbkCcSCErpJyoKHRzndE/LyRO6zQCZWtAvEoz9LvmRCkoBWrOOJmnjOXJuj1RPXNvWyvXReU8PSdqp5gTFZKp/Vo574CQE9WKc6Ii9UzzRTUtxvJ6Vv88ISeqLuRENYSE8kSNkpoNe8iJEkmVVqYLBJKWNycqXqcrWjl9UeYE+3WXPVxBMkUQRASSqhJoLxtHzVCqsv1QrYxWL84lPJFAhf+4G33zotLdhOaHWt7RN09lRAGJH0pv9aLUKF2BUn4onUBN16ISnuGHCh8wrx9KL+E9Fn0Imw2IlQcqUZskAvWwakA8r+VESX6o6ETe/KG0H0rPiRrr8EM1k7cO9ZgsJWP2Ep5gKJf8UPOaytRKG8o7/VBiA+LF5P0UFag40sDSgBgo7odiCY8giCUAkqoSCJp140SeS988yVi+KChQbakBsV7qc/RDqSbEejmv0w+lvFAAsGkiLOGt03KiNkVlvTX1RKlaGyVOTteTDxzJD6WrUZ2w+aH0wM09UQ1TZUQBSfimQaAiP9Ru3Vg+m25APNPRgBjo4odyyInKbEA8L40pspTOicr0Q9lyohRZKtOAuKqcqB42IHbax22T8nsQBLGkQFJVAu2xOqCV+uKYg4nup/REs3mpnCitNBSpUpNTejkv/KRXgZsAsG4iIlPKF2X0z0urUmtV3EE9MQZNRy9xuRFzUDwnKiZT0Uvcq70Be9qRsVxQpYz08kiV0vvn7bM0IDZzotKqlCrn1YVyXtPqi5LG0sbyQjlRtnJe1Q2I9X2YE0UQBJECSVUJLBw2hvphCaly8UM5l/UyGhCPxQ2INQN4pEa5+qFiY3lDJ1DV5ERl+6FCJWmXav+iESgVtLljLlGldkflPINAHQoJ1AGNQM3Phv+Jt4ycKLMBMeDuh2rG2VHdjeVeGhADxf1QrsZyXzlRHftGE9PX40skUARBjCZIqkqgPVFHoKtSllN66mRe2yjhqTnansoXZTQgDj/8xrX+eSp0c5WWE7U2UqPWT2gtXiIypQgUoLV9idSotfWEhEk5UZORH6pMA2IpJ2pfO/E07ewgU3pSuTKW75pNNyCemUsIlArd1HOiAqF/XkPKiVL988RynjbWQaYyGxDPCwRKakAsppcLOVExcbKoUVX5ovTrPVSgnPdz36T8HgRBEAJIqkpgfkUdwbROqsKvkh9qUSjhtYUGxKqEN2U0IE6X8NZMhN9v0AiUMpdLBMrmh5IaENu8UEBSwluETqDCsX3aB9++6M3Yq2VC7YxbvWilu4hEPRydyNsrNCCWSniLWv88HOxewsvb6gVw80M1hGbDYgNi3VguKVAe/VBLvoSX434EQRA+QVJVAouTNUAI1ZSCNpMGxLoCFX7fFBoQT2vG8rgB8YQWtBn5oTaPJwRqXYcCBbj5ocygzeINiPdHL01vQCz5oZS5XFejdsVtX8L5UgPi2dl0tIEUtNl0Ddr04IeqL0qkSmj1krcBMWD3Q9lyoqpqQBwuEoYGhEyRSBEE0WeQVJVAawIIBD9UWzylF/2DL6hSy6bSOVFmA2LVP09rQByZyzdq/fPWNqN5jWSeyomaTniGlhOVz1h+SOyfl2ysyJQK3ASAhxdDAqW3f1HmcltOlB64KTUgrgm+KGsD4nlpzJ4T1dn+BdCyoyLiZJb10qqU6ItqSaTKQ06UGtOJWTIp+bZqVarLmtx7uIJkiiCIAQFJVQnMrgaQeKcTP5R2Ik81IVZ985ZrxvIVE1HQplbWU36o9YaxXCWVa14pZz+UUqO6+6GyGhArP5SZExX1wGvpQZtpP9QOlRM1l8xTfig9aFP5oRYi4hToBCpSoMaM9HLzqzEmNSDWCFRzNm0oz+2HkozltpwoI708UvekkpwHP9TItXopcF+CIIh+gKSqBNpTAYJlbe3v0Yew3jdvyiRTq4QGxGsnEgK1adw8mQdoBKqRlP9U6KbqmQcAyyJDuX5Kz6Vv3pyhQKVzolTfPNUzD0j65kkK1K75ZEyV9YycqFnVNy8xn8Xm8tnoeY2yXqhANSUC5eqLms0gUPFYSxtTypNGqjqVJ8lY7uqLsjQgBjQy5aNvHnOiCIIgKgdJVQksTgWoHZYu501YTOZmA2KVEyU1IE7GlMlcGcwBYFU9/NAy++el279I6DSZH2hrqlT0Waj7olTo5k4j5iAylmuqlDKZ7xYaEIsmc0t6eZn+eVKiua42WU3mQvSB1WReVQNiYGmazEmkCIIYYpBUlUBz3SEsX5vOibL5ocygzZBAbdCM5YkCldSw5AbE/vxQ+7QGxJICtUvMiTKN5UDSgPiA0YA4JE55/VCZBGpeESg9EyqdHeWcE1XUD+WrAbG0ViEvgcogJiRQBEEQ1YCkqgSWLZvHqmXJh4sK3VyvlfPWj6teeiqpXPNFNdJlPRW6qQI3AfcGxFJO1FycVJ6UJPe1Q1KjFCijrBcrUAmB2iU2II5iDmYTQqZCN/UGxG1VzjuYlPMUmRLbv4gKlPoqGMsFs7lZ1pMUKCEnKlaeMk7pdeZEucYd6MZySalyaUDcZT9tYnosvpRvfq598m9Sfg+CIIgBBElVCTxpzW48bnXy6b9ezIkyiZPegFj5oaScqLwNiIEsP9SqeKxTjdJbvSgCtUszlis/1H6jhGcaywEAQtDmeMGcKDHuQE8qn1ORBroqJZzIU74okSyV8ENVVcLT0YegTZ7IIwiCKA6SqhLYMDGDLXpLmDgnKq1GrYoayCkvFJAoUFOGsbx4TpSrH0rFHCTGcv1kXvi9nhN1YDbcTzeWL0oNiCU/lCUnSjee1+NyXjRHL+vFapNuNhcUKEWghKRy7zlRVTcg7twnnjfAZIpEiiCIJQ6SqhLYMrEfW8aS0l0Sc6CX80KWsDISb8r4ovT+eY/GqlQyT5Ep1fIFSMp5u/VTeiq9fFallycEaq+QXi7lREG1ejHav5RJLzdzogxVqkwD4ii+oNbSSIPU/kXFHLQEotMSyJfki1qKxvIc9yMIghh1jAyp+sUvfoE///M/x0033YQdO3Zgy5Yt+O3f/m28853vxPh4orDcf//9uOCCC3DTTTdhamoKZ599Nj70oQ8Zc1zx3ybvw5ETidwi+6HMnCjXBsQHRWN5ogrtjfKhsvxQOyI1SsqJ2hflRD2qGcvnIwWqbTQgjpLKDQ+U8kVBG4u+SjlRFgIFpGMOzNN6SoFKq001Kb3cIEsODYiB4n6oIg2I++CHIoEiCIKoHiNDqn70ox+h3W7jU5/6FJ7whCfgrrvuwvnnn4/HHnsMH/rQhwAArVYLL3nJS7B+/Xrceuut2LNnD84991wEQYCPfvSjue+5vvEY1tSTDxkVulkmJ2o2UDEH6QbEe9qJoqQIlH5KT5EpvZy3KzKX7zmk5URFTYilBsQqJ6qhBW3WpQbEju1fmnMCgbImlUsn88zAzXDM4ovKUqB85kT10hfVZU3uPVxBAkUQBJELtSCQahCjgSuuuAKf/OQn8fOf/xwA8K//+q946UtfigceeABbtmwBAHz2s5/Feeedh507d2LFihW27WLMzMxg5cqVuO9HW7BxRaLyuPih9BJebCzXfgKqAfEuLal8z2L4vfJCAe5+KFXG0/1QrdnoOS0NiOsCgWq6Bm0KfihjTEUaCH4osYQnRRtIBKpgA+JwqKAfqs+tXpz2cduk/B4EQRADjsVgAbfgn7F//37nz/w8GBmlSsL+/fuxZs2a+O/f+ta3cPzxx8eECgBe9KIXYW5uDt/73vdw+umn59p/qjaW2w/1qG4sjz7H9mg5Uartyy4jaDNUmx6a13KiVAPiOSEnatbeN6/TD1UmaNOINPDgh4rVKN1YrvxQkrF8MXk/Y5IkKVBZOVFL0Q9FIkUQBOEVI0uqfvazn+GjH/0o/uIv/iIe27FjBzZu3GjMW716NcbHx7Fjx46ue83NzWFuLmEUMzOhIV2PPTDma+W8zpyoA+1EFdrTCj1Ne9t6/7yQQOm+qJ1CTpQylz+ilfVU6KaeE6VUKT0nqt6REyW1f6kLvqhmhi+qLrR/acR+KJ1Apf1QnTlRoirl6otybUCcVRJU822+KUPZyumLMifYr7vu47ZJ+T0IgiCIFAaeVF166aW47LLLrHNuv/12POMZz4j//uCDD+LFL34xXvWqV+F1r3udMbdWq3UuRxAE4rjC5ZdfLj5DGwEOBQnZsvuhlAcqUaAkAqXKebs0AqX8UPu0BsSqnDdvafUCJE2IDZ9T1O2mHpOl5FqiQEljugKlynVS9IGuMlkIlM0PJSlQErnx0IAYGLGcKJImgiCIvmDgSdWFF16Is846yzrn6KOPjr9/8MEHcfrpp2Pr1q246qqrjHmbNm3Cd77zHWPskUcewcLCQkrB0vGOd7wDF198cfz3mZkZHHHEEZgLFtDSPsBU6KYK3ASS03kqcFMnUKpv3m7dWD6bbkCc5EQlZb2FMjlRc51f7b4opTZJOVFmCS89FvuhRFVK8kP1wRelI+cpPSpQBEEQhMLAk6p169Zh3bp1TnN/+ctf4vTTT8dJJ52Ea665BvW6eeJu69ateO9734uHHnoImzdvBgDccMMNmJiYwEknndR134mJCUxMTKTGH20vAFo5b28r9EbtaadjDqT08ofnwu+zcqKUKhUbzAGvJnNZldIjDaKynl7Cm5dIlUeTORsQu4NkiiAIYiAw8KTKFQ8++CBOO+00HHnkkfjQhz6EXbt2xdc2bdoEANi2bRuOO+44nHPOObjiiiuwd+9e/NEf/RHOP//8QqcAfrawDHMaSdoRqVB60KZqQrx7PiRaegPifYeinCjNWK78UC0jJyrdgLhpCdrM64cySniuDYgXBLLk0w8lGcvFDCmL3wk5CFRRPxQJFEEQBBFhZEjVDTfcgJ/+9Kf46U9/isMPP9y4plIjGo0Grr/+erzpTW/CySefbIR/FsHDrRV4bGF1/HeVVK6M5QCwK04tDwmU7ouScqLaylh+SE8qd8yJkk7pSY2HO07pGSfzhPBNsQGxpErFfihLA2JjrLsaNZC+qC5r7NNZ1iMIglgqGOmcqqqgcqou+ubLcWA8IVWSH0qV8Q7NhiW8Bd1YLpTwyrV6kcay/VBiA2LdAyUpUIoY5W1ADLj5ofpdwuuyJvceriBxIgiCqBzMqRpg7JhdgRntNJ/yQ+nlvIOdOVGCsbypGcvrQk5U05oTJY0JfihLTlRdavVSVQNibZ7VD8UGxARBEMSQgaSqBHbPHYYDC4lHaiYq581q6eXtjvRy3RdlVaWK9M+ztn9paWMRcZL659lUKYNUeciJ0omJTs7CScm3A6JKOe3jtkn5PQiCIIiBA0lVCdy7Zw1aSPxTQaRG1YwTeaYfqnEoWS8nlUdf5zMIVF4/lCUnqiYqUI7G8qpyogo0IKYCRRAEQfQTJFUlMP/YOOpamxpVztNN5s0OQ3kxX5RFgZoXFCgpJ8o4kddBpnrZgFgbGyRjOckUQRAEURYkVSXQ2DOOMe0tFE/kxSRJfRVO4emlPsFYHitQxuk7D34oiUBJSeWuJTyffigSKIIgCGLIQFJVAvWDNTS07jZWNSoiSXpeVF2IO5Dbv7Sir+nsKC9+KNEDJeREBcK+GankDNokCIIglgpIqkqgOWu+gdacKKF/nlzWa6fGrP3zslQpl5woMVRTKOtl+KLi+ZIq5UigkktUpQiCIIjhAklVCUzsB8Y1UiGW+DoM5WZ6uaBAKV+USJbSBvRSOVGDHLRJBYogCIIYMpBUlUBjNkBT+0xP2r6kc6IakgLVEW0QjkUlvF7mRFXliwoXCUMDQqZIpAiCIAiPIKkqgcZcgIZGNBJVqrvJ3FsDYp8mc6aXEwRBEERpkFSVwMRMG+NBOtLAUKM6+uZ5b0BclR+qQE5UcinffOc9ioAEiiAIgugRSKpKoD7fRj3Qlad0mGZczrP5opgTxXIeQRAEMfQgqSqB5qMLaCDJVHDyQ0l+Jx8NiPV5ef1QJFAEQRAEURokVSVQX2yhFugEKlSZai2NNHSSKaVEAQlJkhSorJyoQfFDkUgRBEEQBACSqlKoLbRRQ0KSkuwoyWTuoQFxVklQzXc9pcecKIIgCILwBpKqEqgdmketpqtSDn6oqhoQ69eHTYHKcT+CIAiCGFSQVJVBuwUEWp8al5woX76ozvmd+8TXB5hMkUgRBEEQIwSSqjKYmwcgKEo2PxSDNgmCIAhiJEFSVQbtAEBOP1QGWXI2llfsh2JZjyAIgiDygaSqDFotoFZP/t4WPFKdapRnX5R5eUBCN0mkCIIgiCUIkqoSCBYXEWg5VU7lvD63enHax22T8nsQBEEQxAiBpKoMggCip4o5UQRBEASx5EBSVQZBYBINppcTBEEQxJIFSVUJBAsLCGpS+W/IFKgC9yUIgiAIwgRJVVnkzImiAkUQBEEQowmSqjJotQE9UX2Q1SgSKIIgCIKoFCRVZTHIRCrH/QiCIAiCKAeSqjIIAhiJCoNCpkikCIIgCKLnIKkqgaAdIMgo/0lrPN3czz4EQRAEQXgBSVVZUIEiCIIgCAIkVeUQtIFaQxgmgSIIgiCIpQaSKo8gmSIIgiCIpQuSqhJIearyb+DvYQiCIAiC6CtIqnoFEiiCIAiCGGmQVFUNkimCIAiCWBIgqaoCJFIEQRAEseRAUlUGQRsACRRBEARBEEC93w9AEARBEAQxCiCpIgiCIAiC8ACSKoIgCIIgCA8gqSIIgiAIgvAAkiqCIAiCIAgPIKkiCIIgCILwAJIqgiAIgiAIDyCpIgiCIAiC8ACSKoIgCIIgCA8gqSIIgiAIgvAAkiqCIAiCIAgPIKkiCIIgCILwAJIqgiAIgiAIDyCpIgiCIAiC8ICRIlUvf/nLceSRR2JychKbN2/GOeecgwcffNCYc//99+NlL3sZDjvsMKxbtw5vectbMD8/36cnJgiCIAhiVDBSpOr000/HP/zDP+Cee+7B5z//efzsZz/Db/3Wb8XXW60WXvKSl+Cxxx7Drbfeis9+9rP4/Oc/j7e+9a19fGqCIAiCIEYBtSAIgn4/RFX40pe+hDPPPBNzc3MYGxvDv/7rv+KlL30pHnjgAWzZsgUA8NnPfhbnnXcedu7ciRUrVjjtOzMzg5UrV+I0vALN2liVL4EgCIIgCE9YDBZwC/4Z+/fvd/7Mz4ORUqp07N27F5/5zGfw3Oc+F2NjIfH51re+heOPPz4mVADwohe9CHNzc/je977Xda+5uTnMzMwYfwiCIAiCIHQ0+/0AvvH2t78dH/vYx3Dw4EE85znPwZe//OX42o4dO7Bx40Zj/urVqzE+Po4dO3Z03fPyyy/HZZddlhpfxAIwsjofQRAEQYwWFrEAAKisSBcMON797ncHCKlL1z+33357PH/Xrl3BPffcE9xwww3BySefHPz6r/960G63gyAIgvPPPz/Ytm1b6h5jY2PB3//933d9htnZ2WD//v3xn7vvvjvzmfiHf/iHf/iHf/hnMP888MAD/glLEAQDr1RdeOGFOOuss6xzjj766Pj7devWYd26dXjSk56EpzzlKTjiiCPw7W9/G1u3bsWmTZvwne98x1j7yCOPYGFhIaVg6ZiYmMDExET89+XLl+Puu+/GcccdhwceeKCSuuygYmZmBkccccSSet1L8TUDfN1L6XUvxdcM8HUvpdetXvP999+PWq1m2IB8YuBJlSJJRRBE8t7c3BwAYOvWrXjve9+Lhx56CJs3bwYA3HDDDZiYmMBJJ53kvG+9XsfjHvc4AMCKFSuWzH+UOpbi616Krxng615KWIqvGeDrXkpYuXJlpa954EmVK/793/8d//7v/45TTjkFq1evxs9//nP86Z/+KR7/+Mdj69atAIBt27bhuOOOwznnnIMrrrgCe/fuxR/90R/h/PPPX3L/YREEQRAE4Rcjc/pvamoKX/jCF/Brv/ZrOPbYY/Ha174Wxx9/PLZv3x6X7hqNBq6//npMTk7i5JNPxqtf/WqceeaZ+NCHPtTnpycIgiAIYtgxMkrVCSecgJtuuilz3pFHHmmcCCyKiYkJvPvd7za8VksBS/F1L8XXDPB1L6XXvRRfM8DXvZRed69e80iHfxIEQRAEQfQKI1P+IwiCIAiC6CdIqgiCIAiCIDyApIogCIIgCMIDSKoIgiAIgiA8gKTKgk984hM45phjMDk5iZNOOgnf+MY3rPO3b9+Ok046CZOTk/iVX/kV/OVf/mWPntQPLr/8cjzzmc/E9PQ0NmzYgDPPPBP33HOPdc0tt9yCWq2W+vOjH/2oR09dDpdeemnq2Tdt2mRdM+w/ZyDsQiD93C644AJx/rD+nL/+9a/jZS97GbZs2YJarYYvfvGLxvUgCHDppZdiy5YtmJqawmmnnYYf/OAHmft+/vOfx3HHHYeJiQkcd9xxuO666yp6Bflhe80LCwt4+9vfjhNOOAGHHXYYtmzZgt/5nd/Bgw8+aN3z2muvFX/+s7OzFb8ad2T9rM8777zU8z/nOc/J3HeQf9ZA9uuWfm61Wg1XXHFF1z0H/eft8lnVr99tkqou+NznPoeLLroI73znO3HHHXfgec97Hs444wzcf//94vx7770Xv/7rv47nPe95uOOOO/DHf/zHeMtb3oLPf/7zPX7y4ti+fTsuuOACfPvb38aNN96IxcVFbNu2DY899ljm2nvuuQcPPfRQ/OeJT3xiD57YD5761Kcaz/5f//VfXeeOws8ZAG6//XbjNd94440AgFe96lXWdcP2c37sscfwtKc9DR/72MfE6x/84Adx5ZVX4mMf+xhuv/12bNq0CS984Qtx4MCBrnt+61vfwmte8xqcc845+M///E+cc845ePWrX51qgdUv2F7zwYMH8R//8R/4kz/5E/zHf/wHvvCFL+DHP/4xXv7yl2fuu2LFCuNn/9BDD2FycrKKl1AIWT9rAHjxi19sPP9XvvIV656D/rMGsl9358/sb/7mb1Cr1fCbv/mb1n0H+eft8lnVt9/tSjoKjgCe9axnBW94wxuMsSc/+cnBJZdcIs5/29veFjz5yU82xl7/+tcHz3nOcyp7xqqxc+fOAECwffv2rnNuvvnmAEDwyCOP9O7BPOLd73538LSnPc15/ij+nIMgCP7gD/4gePzjHx83H+/EsP+cgyAIAATXXXdd/Pd2ux1s2rQpeP/73x+Pzc7OBitXrgz+8i//sus+r371q4MXv/jFxtiLXvSi4KyzzvL+zGXR+Zol/Pu//3sAILjvvvu6zrnmmmuClStX+n24CiG97nPPPTd4xStekWufYfpZB4Hbz/sVr3hF8IIXvMA6Z9h+3p2fVf383aZSJWB+fh7f+973sG3bNmN827ZtuO2228Q13/rWt1LzX/SiF+G73/0uFhYWKnvWKrF//34AwJo1azLnnnjiidi8eTN+7dd+DTfffHPVj+YVP/nJT7BlyxYcc8wxOOuss/Dzn/+869xR/DnPz8/jb//2b/Ha174WtVrNOneYf86duPfee7Fjxw7j5zkxMYHnP//5XX/Pge7/DdjWDDL279+PWq2GVatWWec9+uijOOqoo3D44YfjpS99Ke64447ePKBH3HLLLdiwYQOe9KQn4fzzz8fOnTut80ftZ/3www/j+uuvx+/93u9lzh2mn3fnZ1U/f7dJqgTs3r0brVYLGzduNMY3btyIHTt2iGt27Nghzl9cXMTu3bsre9aqEAQBLr74Ypxyyik4/vjju87bvHkzrrrqKnz+85/HF77wBRx77LH4tV/7NXz961/v4dMWx7Of/Wz8n//zf/Bv//Zv+Ku/+ivs2LEDz33uc7Fnzx5x/qj9nAHgi1/8Ivbt24fzzjuv65xh/zlLUL/LeX7P1bq8awYVs7OzuOSSS3D22Wdb+58++clPxrXXXosvfelL+Pu///u41ddPfvKTHj5tOZxxxhn4zGc+g5tuugl/8Rd/gdtvvx0veMELMDc313XNKP2sAeDTn/40pqen8cpXvtI6b5h+3tJnVT9/t0emTU0V6Py/9iAIrP8nL82XxocBF154Ib7//e/j1ltvtc479thjceyxx8Z/37p1Kx544AF86EMfwqmnnlr1Y5bGGWecEX9/wgknYOvWrXj84x+PT3/607j44ovFNaP0cwaAq6++GmeccQa2bNnSdc6w/5xtyPt7XnTNoGFhYQFnnXUW2u02PvGJT1jnPuc5zzFM3SeffDKe/vSn46Mf/Sg+8pGPVP2oXvCa17wm/v7444/HM57xDBx11FG4/vrrrSRjFH7WCn/zN3+D//E//kemN2qYft62z6p+/G5TqRKwbt06NBqNFDvduXNnisUqbNq0SZzfbDaxdu3ayp61Crz5zW/Gl770Jdx88804/PDDc69/znOeM5D/R+OCww47DCeccELX5x+lnzMA3Hffffja176G173udbnXDvPPGUB8yjPP77lal3fNoGFhYQGvfvWrce+99+LGG2+0qlQS6vU6nvnMZw71z3/z5s046qijrK9hFH7WCt/4xjdwzz33FPpdH9Sfd7fPqn7+bpNUCRgfH8dJJ50Un4hSuPHGG/Hc5z5XXLN169bU/BtuuAHPeMYzMDY2Vtmz+kQQBLjwwgvxhS98ATfddBOOOeaYQvvccccd2Lx5s+en6w3m5ubwwx/+sOvzj8LPWcc111yDDRs24CUveUnutcP8cwaAY445Bps2bTJ+nvPz89i+fXvX33Og+38DtjWDBEWofvKTn+BrX/taof8ZCIIAd95551D//Pfs2YMHHnjA+hqG/Wet4+qrr8ZJJ52Epz3tabnXDtrPO+uzqq+/286W9iWGz372s8HY2Fhw9dVXB3fffXdw0UUXBYcddljwi1/8IgiCILjkkkuCc845J57/85//PFi2bFnwh3/4h8Hdd98dXH311cHY2FjwT//0T/16Cbnxxje+MVi5cmVwyy23BA899FD85+DBg/Gcztf9v/7X/wquu+664Mc//nFw1113BZdcckkAIPj85z/fj5eQG29961uDW265Jfj5z38efPvb3w5e+tKXBtPT0yP9c1ZotVrBkUceGbz97W9PXRuVn/OBAweCO+64I7jjjjsCAMGVV14Z3HHHHfFJt/e///3BypUrgy984QvBf/3XfwX//b//92Dz5s3BzMxMvMc555xjnPr95je/GTQajeD9739/8MMf/jB4//vfHzSbzeDb3/52z1+fBNtrXlhYCF7+8pcHhx9+eHDnnXcav+dzc3PxHp2v+dJLLw2++tWvBj/72c+CO+64I/jd3/3doNlsBt/5znf68RJF2F73gQMHgre+9a3BbbfdFtx7773BzTffHGzdujV43OMeN9Q/6yDI/m88CIJg//79wbJly4JPfvKT4h7D9vN2+azq1+82SZUFH//4x4OjjjoqGB8fD57+9Kcb0QLnnntu8PznP9+Yf8sttwQnnnhiMD4+Hhx99NFd/wMeVAAQ/1xzzTXxnM7X/YEPfCB4/OMfH0xOTgarV68OTjnllOD666/v/cMXxGte85pg8+bNwdjYWLBly5bgla98ZfCDH/wgvj6KP2eFf/u3fwsABPfcc0/q2qj8nFUUROefc889NwiC8Oj1u9/97mDTpk3BxMREcOqppwb/9V//Zezx/Oc/P56v8I//+I/BscceG4yNjQVPfvKTB4pc2l7zvffe2/X3/Oabb4736HzNF110UXDkkUcG4+Pjwfr164Nt27YFt912W+9fnAW2133w4MFg27Ztwfr164OxsbHgyCOPDM4999zg/vvvN/YYtp91EGT/Nx4EQfCpT30qmJqaCvbt2yfuMWw/b5fPqn79bteiByQIgiAIgiBKgJ4qgiAIgiAIDyCpIgiCIAiC8ACSKoIgCIIgCA8gqSIIgiAIgvAAkiqCIAiCIAgPIKkiCIIgCILwAJIqgiAIgiAIDyCpIgiCIAiC8ACSKoIgiAgf/vCHcemll2Lfvn39fhSCIIYQTFQnCIKIcPTRR+O+++7Dvffei6OPPrrfj0MQxJCBShVBEARBEIQHkFQRBEEQBEF4AEkVQRBLHtdeey1qtRruu+8+AMAxxxyDWq0W/7nlllv6+4AEQQwFmv1+AIIgiH5j48aNOPnkk/Hd734Xc3NzeMYznoGJiYn4+sqVK/v4dARBDAtoVCcIgohAozpBEGXA8h9BEARBEIQHkFQRBEEQBEF4AEkVQRAEQRCEB5BUEQRBEARBeABJFUEQBEEQhAeQVBEEQUSo1Wr9fgSCIIYYJFUEQRARpqamAACHDh3q85MQBDGMIKkiCIKI8Cu/8isAgO3bt/f5SQiCGEYw/JMgCCLC//2//xe/8zu/AwA4/vjjsXbtWgDAhz/8Yfzqr/5qH5+MIIhhANvUEARBRDjnnHPwyCOP4Oqrr8ZPfvIT3HXXXQCAffv29ffBCIIYClCpIgiCIAiC8AB6qgiCIAiCIDyApIogCIIgCMIDSKoIgiAIgiA8gKSKIAiCIAjCA0iqCIIgCIIgPICkiiAIgiAIwgNIqgiCIAiCIDyApIogCIIgCMIDSKoIgiAIgiA8gKSKIAiCIAjCA0iqCIIgCIIgPICkiiAIgiAIwgNIqgiCIAiCIDyApIogCIIgCMID/n93Y4wNtUSNmQAAAABJRU5ErkJggg==", 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", 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" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "from scipy.io import loadmat\n", + "\n", + "# Load the data stored in a matlab .mat file\n", + "kdV = loadmat(data / \"kdv.mat\")\n", + "t = np.ravel(kdV[\"t\"])\n", + "X = np.ravel(kdV[\"x\"])\n", + "x = np.real(kdV[\"usol\"])\n", + "dt_kdv = t[1] - t[0]\n", + "\n", + "# Plot x and x_dot\n", + "plt.figure()\n", + "plt.pcolormesh(t, X, x)\n", + "plt.xlabel(\"t\", fontsize=16)\n", + "plt.ylabel(\"X\", fontsize=16)\n", + "plt.title(r\"$u(x, t)$\", fontsize=16)\n", + "plt.figure()\n", + "x_dot = ps.FiniteDifference(axis=1)._differentiate(x, t=dt_kdv)\n", + "\n", + "plt.pcolormesh(t, X, x_dot)\n", + "plt.xlabel(\"t\", fontsize=16)\n", + "plt.ylabel(\"x\", fontsize=16)\n", + "plt.title(r\"$\\dot{u}(x, t)$\", fontsize=16)\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "id": "f2495034", + "metadata": {}, + "source": [ + "### Smoothed finite difference\n", + "This method, designed for noisy data, applies a smoother (the default is `scipy.signal.savgol_filter`) before performing differentiation." + ] + }, + { + "cell_type": "code", + "execution_count": 45, + "id": "5f124cee", + "metadata": { + "execution": { + "iopub.execute_input": "2023-07-25T20:45:25.865206Z", + "iopub.status.busy": "2023-07-25T20:45:25.864650Z", + "iopub.status.idle": "2023-07-25T20:45:25.889911Z", + "shell.execute_reply": "2023-07-25T20:45:25.888743Z" + } + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "(x0)' = -9.999 x0 + 9.999 x1\n", + "(x1)' = 27.992 x0 + -0.999 x1 + -1.000 x0 x2\n", + "(x2)' = -2.666 x2 + 1.000 x0 x1\n" + ] + } + ], + "source": [ + "smoothed_fd = ps.SmoothedFiniteDifference()\n", + "\n", + "model = ps.SINDy(differentiation_method=smoothed_fd)\n", + "model.fit(x_train, t=t_train)\n", + "model.print()" + ] + }, + { + "cell_type": "markdown", + "id": "af69cfcd", + "metadata": {}, + "source": [ + "### More differentiation options\n", + "PySINDy is compatible with any of the differentiation methods from the [derivative](https://pypi.org/project/derivative/) package. They are explored in detail in [this notebook](https://github.com/dynamicslab/pysindy/blob/master/examples/5_differentiation.ipynb).\n", + "\n", + "PySINDy defines a `SINDyDerivative` class for interfacing with `derivative` methods. To use a differentiation method provided by `derivative`, simply pass into `SINDyDerivative` the keyword arguments you would give the [dxdt](https://derivative.readthedocs.io/en/latest/api.html#derivative.differentiation.dxdt) method." + ] + }, + { + "cell_type": "code", + "execution_count": 46, + "id": "74be7ad6", + "metadata": { + "execution": { + "iopub.execute_input": "2023-07-25T20:45:25.894401Z", + "iopub.status.busy": "2023-07-25T20:45:25.893915Z", + "iopub.status.idle": "2023-07-25T20:45:26.129913Z", + "shell.execute_reply": "2023-07-25T20:45:26.128539Z" + } + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "(x0)' = -10.000 x0 + 10.000 x1\n", + "(x1)' = 28.003 x0 + -1.001 x1 + -1.000 x0 x2\n", + "(x2)' = -2.667 x2 + 1.000 x0 x1\n" + ] + } + ], + "source": [ + "spline_derivative = ps.SINDyDerivative(kind=\"spline\", s=1e-2)\n", + "\n", + "model = ps.SINDy(differentiation_method=spline_derivative)\n", + "model.fit(x_train, t=t_train)\n", + "model.print()" + ] + }, + { + "cell_type": "markdown", + "id": "7c71e7c5", + "metadata": {}, + "source": [ + "## Feature libraries" + ] + }, + { + "cell_type": "markdown", + "id": "ed1c7d47", + "metadata": {}, + "source": [ + "### Custom feature names" + ] + }, + { + "cell_type": "code", + "execution_count": 47, + "id": "3cb69fcb", + "metadata": { + "execution": { + "iopub.execute_input": "2023-07-25T20:45:26.134587Z", + "iopub.status.busy": "2023-07-25T20:45:26.134157Z", + "iopub.status.idle": "2023-07-25T20:45:26.159999Z", + "shell.execute_reply": "2023-07-25T20:45:26.158921Z" + } + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "(x)' = -9.999 x + 9.999 y\n", + "(y)' = 27.992 x + -0.999 y + -1.000 x z\n", + "(z)' = -2.666 z + 1.000 x y\n" + ] + } + ], + "source": [ + "feature_names = [\"x\", \"y\", \"z\"]\n", + "model = ps.SINDy(feature_names=feature_names)\n", + "model.fit(x_train, t=dt)\n", + "model.print()" + ] + }, + { + "cell_type": "markdown", + "id": "e480dc97", + "metadata": {}, + "source": [ + "### Custom left-hand side when printing the model" + ] + }, + { + "cell_type": "code", + "execution_count": 48, + "id": "8646174d", + "metadata": { + "execution": { + "iopub.execute_input": "2023-07-25T20:45:26.164935Z", + "iopub.status.busy": "2023-07-25T20:45:26.164260Z", + "iopub.status.idle": "2023-07-25T20:45:26.206189Z", + "shell.execute_reply": "2023-07-25T20:45:26.205160Z" + } + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "dx0/dt = -9.999 x0 + 9.999 x1\n", + "dx1/dt = 27.992 x0 + -0.999 x1 + -1.000 x0 x2\n", + "dx2/dt = -2.666 x2 + 1.000 x0 x1\n" + ] + } + ], + "source": [ + "model = ps.SINDy()\n", + "model.fit(x_train, t=dt)\n", + "model.print(lhs=[\"dx0/dt\", \"dx1/dt\", \"dx2/dt\"])" + ] + }, + { + "cell_type": "markdown", + "id": "8a05597f", + "metadata": {}, + "source": [ + "### Customize polynomial library\n", + "Omit interaction terms between variables, such as $x_0 x_1$." + ] + }, + { + "cell_type": "code", + "execution_count": 49, + "id": "9f03a2df", + "metadata": { + "execution": { + "iopub.execute_input": "2023-07-25T20:45:26.214806Z", + "iopub.status.busy": "2023-07-25T20:45:26.214115Z", + "iopub.status.idle": "2023-07-25T20:45:26.242586Z", + "shell.execute_reply": "2023-07-25T20:45:26.241602Z" + } + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "(x0)' = -9.999 x0 + 9.999 x1\n", + "(x1)' = -12.142 x0 + 9.349 x1\n", + "(x2)' = 85.861 1 + 0.567 x0 + -7.354 x2 + 1.366 x0^2\n" + ] + } + ], + "source": [ + "poly_library = ps.PolynomialLibrary(include_interaction=False)\n", + "\n", + "model = ps.SINDy(feature_library=poly_library, optimizer=ps.STLSQ(threshold=0.5))\n", + "model.fit(x_train, t=dt)\n", + "model.print()" + ] + }, + { + "cell_type": "markdown", + "id": "3c0f5d10", + "metadata": {}, + "source": [ + "### Fourier library" + ] + }, + { + "cell_type": "code", + "execution_count": 50, + "id": "6c9a563b", + "metadata": { + "execution": { + "iopub.execute_input": "2023-07-25T20:45:26.248053Z", + "iopub.status.busy": "2023-07-25T20:45:26.247360Z", + "iopub.status.idle": "2023-07-25T20:45:26.284066Z", + "shell.execute_reply": "2023-07-25T20:45:26.283085Z" + } + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "(x0)' = 6.201 cos(1 x1)\n", + "(x1)' = -4.233 cos(1 x0) + -4.817 sin(1 x2) + 7.787 cos(1 x2) + -5.604 cos(2 x0) + 4.630 cos(3 x0) + 4.569 sin(3 x2)\n", + "(x2)' = 4.982 sin(1 x0) + 4.768 sin(1 x1) + -13.709 cos(2 x1) + 4.674 sin(3 x1) + -8.713 cos(3 x1)\n" + ] + } + ], + "source": [ + "fourier_library = ps.FourierLibrary(n_frequencies=3)\n", + "\n", + "model = ps.SINDy(feature_library=fourier_library, optimizer=ps.STLSQ(threshold=4))\n", + "model.fit(x_train, t=dt)\n", + "model.print()" + ] + }, + { + "cell_type": "markdown", + "id": "ca405ef9", + "metadata": {}, + "source": [ + "### Fully custom library\n", + "The `CustomLibrary` class gives you the option to pass in function names to improve the readability of the printed model. Each function \"name\" should itself be a function." + ] + }, + { + "cell_type": "code", + "execution_count": 51, + "id": "1cdb5b06", + "metadata": { + "execution": { + "iopub.execute_input": "2023-07-25T20:45:26.288689Z", + "iopub.status.busy": "2023-07-25T20:45:26.288028Z", + "iopub.status.idle": "2023-07-25T20:45:26.349191Z", + "shell.execute_reply": "2023-07-25T20:45:26.348151Z" + } + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "(x0)' = -9.999 x0 + 9.999 x1\n", + "(x1)' = 1.197 1/x0 + -50.011 1/x2 + -12.462 x0 + 9.291 x1 + 0.383 x2 + 0.882 sin(x0,x1) + 1.984 sin(x0,x2) + -0.464 sin(x1,x2)\n", + "(x2)' = 0.874 1/x0 + -8.545 1/x2 + 0.114 x0 + 0.147 x1 + 3.659 sin(x0,x1) + -3.302 sin(x0,x2) + -3.094 sin(x1,x2)\n" + ] + } + ], + "source": [ + "library_functions = [\n", + " lambda x: np.exp(x),\n", + " lambda x: 1.0 / x,\n", + " lambda x: x,\n", + " lambda x, y: np.sin(x + y),\n", + "]\n", + "library_function_names = [\n", + " lambda x: \"exp(\" + x + \")\",\n", + " lambda x: \"1/\" + x,\n", + " lambda x: x,\n", + " lambda x, y: \"sin(\" + x + \",\" + y + \")\",\n", + "]\n", + "custom_library = ps.CustomLibrary(\n", + " library_functions=library_functions, function_names=library_function_names\n", + ")\n", + "\n", + "model = ps.SINDy(feature_library=custom_library)\n", + "with ignore_specific_warnings():\n", + " model.fit(x_train, t=dt)\n", + "model.print()" + ] + }, + { + "cell_type": "markdown", + "id": "cb80b40f", + "metadata": {}, + "source": [ + "### Fully custom library, default function names\n", + "If no function names are given, default ones are given: `f0`, `f1`, ..." + ] + }, + { + "cell_type": "code", + "execution_count": 52, + "id": "432bfa8b", + "metadata": { + "execution": { + "iopub.execute_input": "2023-07-25T20:45:26.353692Z", + "iopub.status.busy": "2023-07-25T20:45:26.353041Z", + "iopub.status.idle": "2023-07-25T20:45:26.416916Z", + "shell.execute_reply": "2023-07-25T20:45:26.415834Z" + } + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "(x0)' = -9.999 f2(x0) + 9.999 f2(x1)\n", + "(x1)' = 1.197 f1(x0) + -50.011 f1(x2) + -12.462 f2(x0) + 9.291 f2(x1) + 0.383 f2(x2) + 0.882 f3(x0,x1) + 1.984 f3(x0,x2) + -0.464 f3(x1,x2)\n", + "(x2)' = 0.874 f1(x0) + -8.545 f1(x2) + 0.114 f2(x0) + 0.147 f2(x1) + 3.659 f3(x0,x1) + -3.302 f3(x0,x2) + -3.094 f3(x1,x2)\n" + ] + } + ], + "source": [ + "library_functions = [\n", + " lambda x: np.exp(x),\n", + " lambda x: 1.0 / x,\n", + " lambda x: x,\n", + " lambda x, y: np.sin(x + y),\n", + "]\n", + "custom_library = ps.CustomLibrary(library_functions=library_functions)\n", + "\n", + "model = ps.SINDy(feature_library=custom_library)\n", + "with ignore_specific_warnings():\n", + " model.fit(x_train, t=dt)\n", + "model.print()" + ] + }, + { + "cell_type": "markdown", + "id": "2de665c4", + "metadata": {}, + "source": [ + "### Identity library\n", + "The `IdentityLibrary` leaves input data untouched. It allows the flexibility for users to apply custom transformations to the input data before feeding it into a `SINDy` model." + ] + }, + { + "cell_type": "code", + "execution_count": 53, + "id": "93e4aa87", + "metadata": { + "execution": { + "iopub.execute_input": "2023-07-25T20:45:26.421432Z", + "iopub.status.busy": "2023-07-25T20:45:26.420786Z", + "iopub.status.idle": "2023-07-25T20:45:26.462200Z", + "shell.execute_reply": "2023-07-25T20:45:26.461169Z" + } + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "(x0)' = -9.999 x0 + 9.999 x1\n", + "(x1)' = -12.450 x0 + 9.314 x1 + 0.299 x2\n", + "(x2)' = 0.257 x0\n" + ] + } + ], + "source": [ + "identity_library = ps.IdentityLibrary()\n", + "\n", + "model = ps.SINDy(feature_library=identity_library)\n", + "model.fit(x_train, t=dt)\n", + "model.print()" + ] + }, + { + "cell_type": "markdown", + "id": "dfb273fd", + "metadata": {}, + "source": [ + "### Concatenate two libraries\n", + "Two or more libraries can be combined via the `+` operator." + ] + }, + { + "cell_type": "code", + "execution_count": 54, + "id": "e7e5730e", + "metadata": { + "execution": { + "iopub.execute_input": "2023-07-25T20:45:26.466858Z", + "iopub.status.busy": "2023-07-25T20:45:26.466196Z", + "iopub.status.idle": "2023-07-25T20:45:26.495493Z", + "shell.execute_reply": "2023-07-25T20:45:26.494673Z" + } + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "(x)' = -9.999 x + 9.999 y\n", + "(y)' = -12.512 x + 9.391 y + 0.302 z + -2.969 sin(1 x) + -3.341 cos(1 x) + -1.027 sin(1 y) + -6.675 cos(1 y) + -1.752 sin(1 z) + 3.392 cos(1 z)\n", + "(z)' = 0.120 x + 0.140 y + 5.950 sin(1 x) + 2.661 cos(1 x) + 7.917 sin(1 y) + -4.030 cos(1 y) + -1.238 sin(1 z) + -0.280 cos(1 z)\n" + ] + }, + { + "data": { + "text/plain": [ + "['x',\n", + " 'y',\n", + " 'z',\n", + " 'sin(1 x)',\n", + " 'cos(1 x)',\n", + " 'sin(1 y)',\n", + " 'cos(1 y)',\n", + " 'sin(1 z)',\n", + " 'cos(1 z)']" + ] + }, + "execution_count": 54, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "identity_library = ps.IdentityLibrary()\n", + "fourier_library = ps.FourierLibrary()\n", + "combined_library = identity_library + fourier_library\n", + "\n", + "model = ps.SINDy(feature_library=combined_library, feature_names=feature_names)\n", + "model.fit(x_train, t=dt)\n", + "model.print()\n", + "model.get_feature_names()" + ] + }, + { + "cell_type": "markdown", + "id": "e578ac35", + "metadata": {}, + "source": [ + "### Tensor two libraries together\n", + "Two or more libraries can be tensored together via the `*` operator." + ] + }, + { + "cell_type": "code", + "execution_count": 55, + "id": "c71d46a9", + "metadata": { + "execution": { + "iopub.execute_input": "2023-07-25T20:45:26.499701Z", + "iopub.status.busy": "2023-07-25T20:45:26.499226Z", + "iopub.status.idle": "2023-07-25T20:45:26.668624Z", + "shell.execute_reply": "2023-07-25T20:45:26.667640Z" + } + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Feature names:\n", + " ['x sin(1 x)', 'x cos(1 x)', 'x sin(1 y)', 'x cos(1 y)', 'x sin(1 z)', 'x cos(1 z)', 'y sin(1 x)', 'y cos(1 x)', 'y sin(1 y)', 'y cos(1 y)', 'y sin(1 z)', 'y cos(1 z)', 'z sin(1 x)', 'z cos(1 x)', 'z sin(1 y)', 'z cos(1 y)', 'z sin(1 z)', 'z cos(1 z)', 'x^2 sin(1 x)', 'x^2 cos(1 x)', 'x^2 sin(1 y)', 'x^2 cos(1 y)', 'x^2 sin(1 z)', 'x^2 cos(1 z)', 'x y sin(1 x)', 'x y cos(1 x)', 'x y sin(1 y)', 'x y cos(1 y)', 'x y sin(1 z)', 'x y cos(1 z)', 'x z sin(1 x)', 'x z cos(1 x)', 'x z sin(1 y)', 'x z cos(1 y)', 'x z sin(1 z)', 'x z cos(1 z)', 'y^2 sin(1 x)', 'y^2 cos(1 x)', 'y^2 sin(1 y)', 'y^2 cos(1 y)', 'y^2 sin(1 z)', 'y^2 cos(1 z)', 'y z sin(1 x)', 'y z cos(1 x)', 'y z sin(1 y)', 'y z cos(1 y)', 'y z sin(1 z)', 'y z cos(1 z)', 'z^2 sin(1 x)', 'z^2 cos(1 x)', 'z^2 sin(1 y)', 'z^2 cos(1 y)', 'z^2 sin(1 z)', 'z^2 cos(1 z)']\n" + ] + } + ], + "source": [ + "identity_library = ps.PolynomialLibrary(include_bias=False)\n", + "fourier_library = ps.FourierLibrary()\n", + "combined_library = identity_library * fourier_library\n", + "\n", + "model = ps.SINDy(feature_library=combined_library, feature_names=feature_names)\n", + "model.fit(x_train, t=dt)\n", + "# model.print() # prints out long and unobvious model\n", + "print(\"Feature names:\\n\", model.get_feature_names())" + ] + }, + { + "cell_type": "code", + "execution_count": 56, + "id": "c2aa636a", + "metadata": { + "execution": { + "iopub.execute_input": "2023-07-25T20:45:26.673134Z", + "iopub.status.busy": "2023-07-25T20:45:26.672205Z", + "iopub.status.idle": "2023-07-25T20:45:27.414299Z", + "shell.execute_reply": "2023-07-25T20:45:27.413585Z" + } + }, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# the model prediction is quite bad of course\n", + "# because the library has mostly useless terms\n", + "x_dot_test_predicted = model.predict(x_test)\n", + "\n", + "# Compute derivatives with a finite difference method, for comparison\n", + "x_dot_test_computed = model.differentiate(x_test, t=dt)\n", + "\n", + "fig, axs = plt.subplots(x_test.shape[1], 1, sharex=True, figsize=(7, 9))\n", + "for i in range(x_test.shape[1]):\n", + " axs[i].plot(t_test, x_dot_test_computed[:, i], \"k\", label=\"numerical derivative\")\n", + " axs[i].plot(t_test, x_dot_test_predicted[:, i], \"r--\", label=\"model prediction\")\n", + " axs[i].legend()\n", + " axs[i].set(xlabel=\"t\", ylabel=r\"$\\dot x_{}$\".format(i))\n", + "fig.show()" + ] + }, + { + "cell_type": "markdown", + "id": "cd2a1439", + "metadata": {}, + "source": [ + "### Generalized library\n", + "\n", + "Create the most general and flexible possible library by combining and tensoring as many libraries as you want, and you can even specify which input variables to use to generate each library! A much more advanced example is shown further below for PDEs.\n", + "One can specify:\n", + "
\n", + "1. N different libraries to add together\n", + "2. A list of inputs to use for each library. For two libraries with four inputs this\n", + " would look like inputs_per_library = [[0, 1, 2, 3], [0, 1, 2, 3]] and to avoid using\n", + " the first two input variables in the second library, you would change it to\n", + " inputs_per_library = [[0, 1, 2, 3], [2, 3]].\n", + "\n", + "3. A list of libraries to tensor together and add to the overall library. For four libraries, we could make three tensor libraries by using tensor_array = [[1, 0, 1, 1], [1, 1, 1, 1], [0, 0, 1, 1]]. The first sub-array takes the tensor product of libraries 0, 2, 3, the second takes the tensor product of all of them, and the last takes the tensor product of the libraries 2 and 3. This is a silly example since the [1, 1, 1, 1] tensor product already contains all the possible terms.\n", + "4. A list of library indices to exclude from the overall library. The first N libraries correspond to the input libraries and the subsequent indices correspond to the tensored libraries. For two libraries, exclude_libraries=[0,1] and tensor_array=[[1,1]] would result in a library consisting of only the tensor product.\n", + "
\n", + "
\n", + "Note that using this is a more advanced feature, but with the benefit that it allows any SINDy library you want.
" + ] + }, + { + "cell_type": "code", + "execution_count": 57, + "id": "668fc963", + "metadata": { + "execution": { + "iopub.execute_input": "2023-07-25T20:45:27.417275Z", + "iopub.status.busy": "2023-07-25T20:45:27.416824Z", + "iopub.status.idle": "2023-07-25T20:45:27.460745Z", + "shell.execute_reply": "2023-07-25T20:45:27.459222Z" + } + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "(x)' = -9.999 x + 9.999 y\n", + "(y)' = 27.992 x + -0.999 y + -1.000 x z\n", + "(z)' = -2.666 z + 1.000 x y\n", + "Feature names:\n", + " ['x', 'y', 'z', 'x^2', 'x y', 'x z', 'y^2', 'y z', 'z^2', 'x sin(1 y)', 'x cos(1 y)', 'x sin(1 z)', 'x cos(1 z)', 'y sin(1 y)', 'y cos(1 y)', 'y sin(1 z)', 'y cos(1 z)', 'z sin(1 y)', 'z cos(1 y)', 'z sin(1 z)', 'z cos(1 z)', 'x^2 sin(1 y)', 'x^2 cos(1 y)', 'x^2 sin(1 z)', 'x^2 cos(1 z)', 'x y sin(1 y)', 'x y cos(1 y)', 'x y sin(1 z)', 'x y cos(1 z)', 'x z sin(1 y)', 'x z cos(1 y)', 'x z sin(1 z)', 'x z cos(1 z)', 'y^2 sin(1 y)', 'y^2 cos(1 y)', 'y^2 sin(1 z)', 'y^2 cos(1 z)', 'y z sin(1 y)', 'y z cos(1 y)', 'y z sin(1 z)', 'y z cos(1 z)', 'z^2 sin(1 y)', 'z^2 cos(1 y)', 'z^2 sin(1 z)', 'z^2 cos(1 z)']\n" + ] + } + ], + "source": [ + "# Initialize two libraries\n", + "poly_library = ps.PolynomialLibrary(include_bias=False)\n", + "fourier_library = ps.FourierLibrary()\n", + "\n", + "# Initialize the default inputs, but\n", + "# don't use the x0 input for generating the Fourier library\n", + "inputs_per_library = [(0, 1, 2), (1, 2)]\n", + "\n", + "# Tensor all the polynomial and Fourier library terms together\n", + "tensor_array = [[1, 1]]\n", + "\n", + "# Initialize this generalized library, all the work hidden from the user!\n", + "generalized_library = ps.GeneralizedLibrary(\n", + " [poly_library, fourier_library],\n", + " tensor_array=tensor_array,\n", + " exclude_libraries=[1],\n", + " inputs_per_library=inputs_per_library,\n", + ")\n", + "\n", + "# Fit the model and print the library feature names to check success\n", + "model = ps.SINDy(feature_library=generalized_library, feature_names=feature_names)\n", + "model.fit(x_train, t=dt)\n", + "model.print()\n", + "print(\"Feature names:\\n\", model.get_feature_names())" + ] + }, + { + "cell_type": "markdown", + "id": "19825117", + "metadata": {}, + "source": [ + "## SINDy with control (SINDYc)\n", + "SINDy models with control inputs can also be learned. Here we learn a Lorenz control model:\n", + "$$ \\dot{x} = \\sigma (y - x) + u_0$$\n", + "$$ \\dot{y} = x(\\rho - z) - y $$\n", + "$$ \\dot{z} = x y - \\beta z - u_1$$" + ] + }, + { + "cell_type": "markdown", + "id": "1ccc88df", + "metadata": { + "lines_to_next_cell": 2 + }, + "source": [ + "### Train the model" + ] + }, + { + "cell_type": "code", + "execution_count": 58, + "id": "3bcd750c", + "metadata": { + "execution": { + "iopub.execute_input": "2023-07-25T20:45:27.465281Z", + "iopub.status.busy": "2023-07-25T20:45:27.464800Z", + "iopub.status.idle": "2023-07-25T20:45:27.766724Z", + "shell.execute_reply": "2023-07-25T20:45:27.765908Z" + } + }, + "outputs": [], + "source": [ + "# Control input\n", + "def u_fun(t):\n", + " return np.column_stack([np.sin(2 * t), t**2])\n", + "\n", + "\n", + "# Generate measurement data\n", + "dt = 0.002\n", + "\n", + "t_train = np.arange(0, t_end_train, dt)\n", + "t_train_span = (t_train[0], t_train[-1])\n", + "x0_train = [-8, 8, 27]\n", + "x_train = solve_ivp(\n", + " lorenz_control,\n", + " t_train_span,\n", + " x0_train,\n", + " t_eval=t_train,\n", + " args=(u_fun,),\n", + " **integrator_keywords,\n", + ").y.T\n", + "u_train = u_fun(t_train)" + ] + }, + { + "cell_type": "code", + "execution_count": 59, + "id": "c5215ed8", + "metadata": { + "execution": { + "iopub.execute_input": "2023-07-25T20:45:27.769188Z", + "iopub.status.busy": "2023-07-25T20:45:27.768978Z", + "iopub.status.idle": "2023-07-25T20:45:27.798607Z", + "shell.execute_reply": "2023-07-25T20:45:27.797539Z" + } + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "(x0)' = -9.999 x0 + 9.999 x1 + 0.999 u0\n", + "(x1)' = 27.988 x0 + -0.998 x1 + -1.000 x0 x2\n", + "(x2)' = -2.666 x2 + -1.000 u1 + 1.000 x0 x1\n" + ] + } + ], + "source": [ + "# Instantiate and fit the SINDYc model\n", + "model = ps.SINDy()\n", + "model.fit(x_train, u=u_train, t=dt)\n", + "model.print()" + ] + }, + { + "cell_type": "markdown", + "id": "0c4f2487", + "metadata": {}, + "source": [ + "### Assess results on a test trajectory" + ] + }, + { + "cell_type": "code", + "execution_count": 60, + "id": "88736b1b", + "metadata": { + "execution": { + "iopub.execute_input": "2023-07-25T20:45:27.802917Z", + "iopub.status.busy": "2023-07-25T20:45:27.802423Z", + "iopub.status.idle": "2023-07-25T20:45:28.453782Z", + "shell.execute_reply": "2023-07-25T20:45:28.452291Z" + } + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Model score: 1.000000\n" + ] + } + ], + "source": [ + "# Evolve the Lorenz equations in time using a different initial condition\n", + "t_test = np.arange(0, t_end_test, dt)\n", + "t_test_span = (t_test[0], t_test[-1])\n", + "u_test = u_fun(t_test)\n", + "x0_test = np.array([8, 7, 15])\n", + "x_test = solve_ivp(\n", + " lorenz_control,\n", + " t_test_span,\n", + " x0_test,\n", + " t_eval=t_test,\n", + " args=(u_fun,),\n", + " **integrator_keywords,\n", + ").y.T\n", + "u_test = u_fun(t_test)\n", + "\n", + "# Compare SINDy-predicted derivatives with finite difference derivatives\n", + "print(\"Model score: %f\" % model.score(x_test, u=u_test, t=dt))" + ] + }, + { + "cell_type": "markdown", + "id": "27a20190", + "metadata": {}, + "source": [ + "### Predict derivatives with learned model" + ] + }, + { + "cell_type": "code", + "execution_count": 61, + "id": "504192ce", + "metadata": { + "execution": { + "iopub.execute_input": "2023-07-25T20:45:28.459124Z", + "iopub.status.busy": "2023-07-25T20:45:28.458434Z", + "iopub.status.idle": "2023-07-25T20:45:29.009448Z", + "shell.execute_reply": "2023-07-25T20:45:29.008775Z" + } + }, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# Predict derivatives using the learned model\n", + "x_dot_test_predicted = model.predict(x_test, u=u_test)\n", + "\n", + "# Compute derivatives with a finite difference method, for comparison\n", + "x_dot_test_computed = model.differentiate(x_test, t=dt)\n", + "\n", + "fig, axs = plt.subplots(x_test.shape[1], 1, sharex=True, figsize=(7, 9))\n", + "for i in range(x_test.shape[1]):\n", + " axs[i].plot(t_test, x_dot_test_computed[:, i], \"k\", label=\"numerical derivative\")\n", + " axs[i].plot(t_test, x_dot_test_predicted[:, i], \"r--\", label=\"model prediction\")\n", + " axs[i].legend()\n", + " axs[i].set(xlabel=\"t\", ylabel=r\"$\\dot x_{}$\".format(i))\n", + "fig.show()" + ] + }, + { + "cell_type": "markdown", + "id": "c9a029e1", + "metadata": {}, + "source": [ + "### Simulate forward in time (control input function known)\n", + "When working with control inputs `SINDy.simulate` requires a *function* to be passed in for the control inputs, `u`, because the default integrator used in `SINDy.simulate` uses adaptive time-stepping. We show what to do in the case when you do not know the functional form for the control inputs in the example following this one." + ] + }, + { + "cell_type": "code", + "execution_count": 62, + "id": "e546284f", + "metadata": { + "execution": { + "iopub.execute_input": "2023-07-25T20:45:29.011778Z", + "iopub.status.busy": "2023-07-25T20:45:29.011386Z", + "iopub.status.idle": "2023-07-25T20:45:41.368151Z", + "shell.execute_reply": "2023-07-25T20:45:41.367424Z" + } + }, + "outputs": [ + { + "data": { + "image/png": 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", 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# Evolve the new initial condition in time with the SINDy model\n", + "x_test_sim = model.simulate(x0_test, t_test, u=u_fun)\n", + "\n", + "fig, axs = plt.subplots(x_test.shape[1], 1, sharex=True, figsize=(7, 9))\n", + "for i in range(x_test.shape[1]):\n", + " axs[i].plot(t_test, x_test[:, i], \"k\", label=\"true simulation\")\n", + " axs[i].plot(t_test, x_test_sim[:, i], \"r--\", label=\"model simulation\")\n", + " axs[i].legend()\n", + " axs[i].set(xlabel=\"t\", ylabel=\"$x_{}$\".format(i))\n", + "\n", + "fig = plt.figure(figsize=(10, 4.5))\n", + "ax1 = fig.add_subplot(121, projection=\"3d\")\n", + "ax1.plot(x_test[:, 0], x_test[:, 1], x_test[:, 2], \"k\")\n", + "ax1.set(xlabel=\"$x_0$\", ylabel=\"$x_1$\", zlabel=\"$x_2$\", title=\"true simulation\")\n", + "\n", + "ax2 = fig.add_subplot(122, projection=\"3d\")\n", + "ax2.plot(x_test_sim[:, 0], x_test_sim[:, 1], x_test_sim[:, 2], \"r--\")\n", + "ax2.set(xlabel=\"$x_0$\", ylabel=\"$x_1$\", zlabel=\"$x_2$\", title=\"model simulation\")\n", + "\n", + "fig.show()" + ] + }, + { + "cell_type": "markdown", + "id": "d1c477b1", + "metadata": {}, + "source": [ + "### Simulate forward in time (unknown control input function)\n", + "If you only have a vector of control input values at the times in `t_test` and do not know the functional form for `u`, the `simulate` function will internally form an interpolating function based on the vector of control inputs. As a consequence of this interpolation procedure, `simulate` will not give a state estimate for the last time point in `t_test`. This is because the default integrator, `scipy.integrate.solve_ivp` (with LSODA as the default solver), is adaptive and sometimes attempts to evaluate the interpolant outside the domain of interpolation, causing an error." + ] + }, + { + "cell_type": "code", + "execution_count": 63, + "id": "d3756734", + "metadata": { + "execution": { + "iopub.execute_input": "2023-07-25T20:45:41.370702Z", + "iopub.status.busy": "2023-07-25T20:45:41.370454Z", + "iopub.status.idle": "2023-07-25T20:45:41.373978Z", + "shell.execute_reply": "2023-07-25T20:45:41.373311Z" + } + }, + "outputs": [], + "source": [ + "u_test = u_fun(t_test)" + ] + }, + { + "cell_type": "code", + "execution_count": 64, + "id": "12920bfd", + "metadata": { + "execution": { + "iopub.execute_input": "2023-07-25T20:45:41.376475Z", + "iopub.status.busy": "2023-07-25T20:45:41.376186Z", + "iopub.status.idle": "2023-07-25T20:45:51.784956Z", + "shell.execute_reply": "2023-07-25T20:45:51.784262Z" + } + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Length of t_test: 7500\n", + "Length of simulation: 7499\n" + ] + }, + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "x_test_sim = model.simulate(x0_test, t_test, u=u_test)\n", + "\n", + "# Note that the output is one example short of the length of t_test\n", + "print(\"Length of t_test:\", len(t_test))\n", + "print(\"Length of simulation:\", len(x_test_sim))\n", + "\n", + "fig, axs = plt.subplots(x_test.shape[1], 1, sharex=True, figsize=(12, 4))\n", + "for i in range(x_test.shape[1]):\n", + " axs[i].plot(t_test[:-1], x_test[:-1, i], \"k\", label=\"true simulation\")\n", + " axs[i].plot(t_test[:-1], x_test_sim[:, i], \"r--\", label=\"model simulation\")\n", + " axs[i].set(xlabel=\"t\", ylabel=\"$x_{}$\".format(i))\n", + "\n", + "fig.show()" + ] + }, + { + "cell_type": "markdown", + "id": "7190f1d9", + "metadata": {}, + "source": [ + "## Implicit ODEs\n", + "How would we use SINDy to solve an implicit ODE? In other words, now the LHS can depend on x and x_dot,\n", + "$$\\dot{\\mathbf{x}} = \\mathbf{f}(\\mathbf{x}, \\dot{\\mathbf{x}})$$\n", + "\n", + "\n", + "In order to deal with this, we need a library $\\Theta(\\mathbf{x}, \\dot{\\mathbf{x}})$. SINDy parallel implicit (SINDy-PI) is geared to solve these problems. It solves the optimization problem,\n", + "$$argmin_\\mathbf{\\Xi} (\\|\\Theta(\\mathbf{X}, \\dot{\\mathbf{X}}) - \\Theta(\\mathbf{X}, \\dot{\\mathbf{X}})\\mathbf{\\Xi}\\| + \\lambda \\|\\mathbf{\\Xi}\\|_1)$$\n", + "such that diag$(\\mathbf{\\Xi}) = 0$. So for every candidate library term it generates a different model. With N state variables, we need to choose N of the equations to solve for the system evolution. See the [SINDy-PI notebook](https://github.com/dynamicslab/pysindy/blob/master/examples/9_sindypi_with_sympy.ipynb) for more details.\n", + "\n", + "Here we illustrate successful identification of the 1D Michelson-Menten enzyme model\n", + "$$\\dot{x} = 0.6 - \\frac{1.5 x}{0.3 + x}.$$\n", + "Or, equivalently\n", + "$$\\dot{x} = 0.6 - 3 x - \\frac{10}{3} x\\dot{x}.$$\n", + "\n", + "Note that some of the model fits fail. This is usually because the LHS term being fitted is a poor match to the data, but this error can also be caused by CVXPY not liking the parameters passed to the solver.\n" + ] + }, + { + "cell_type": "code", + "execution_count": 65, + "id": "2dcf1f66", + "metadata": { + "execution": { + "iopub.execute_input": "2023-07-25T20:45:51.787385Z", + "iopub.status.busy": "2023-07-25T20:45:51.787164Z", + "iopub.status.idle": "2023-07-25T20:46:02.216108Z", + "shell.execute_reply": "2023-07-25T20:46:02.214708Z" + } + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Model 0\n", + "Model 1\n", + "Model 2\n", + "Model 3\n", + "Solver failed on model 3 , setting coefs to zeros\n", + "Model 4\n", + "Model 5\n", + "Model 6\n", + "Model 7\n", + "Model 8\n", + "Model 9\n", + "1 = 5.000 x0 + 1.667 x0_dot + 5.556 x0x0_dot\n", + "x0 = 0.200 1 + -0.333 x0_dot + -1.111 x0x0_dot\n", + "x0x0 = 0.198 x0 + 0.007 x0x0x0 + -0.338 x0x0_dot + -1.099 x0x0x0_dot\n", + "x0x0x0 = 0.000\n", + "x0x0x0x0 = -0.001 1 + 0.363 x0x0x0 + 0.041 x0x0_dot + -1.205 x0x0x0x0x0_dot\n", + "x0_dot = 0.600 1 + -3.000 x0 + -3.333 x0x0_dot\n", + "x0x0_dot = 0.180 1 + -0.900 x0 + -0.300 x0_dot\n", + "x0x0x0_dot = -0.004 1 + 0.136 x0 + -0.508 x0x0 + -0.344 x0x0x0 + -0.102 x0x0_dot + -0.219 x0x0x0x0x0_dot\n", + "x0x0x0x0_dot = 0.003 1 + 0.001 x0 + -0.391 x0x0x0 + -0.247 x0x0x0x0 + -0.108 x0x0_dot\n", + "x0x0x0x0x0_dot = 0.001 1 + -0.670 x0x0x0x0 + -0.005 x0_dot + 0.029 x0x0_dot + -0.271 x0x0x0_dot\n" + ] + } + ], + "source": [ + "if run_cvxpy:\n", + " # define parameters\n", + " r = 1\n", + " dt = 0.001\n", + " if __name__ != \"testing\":\n", + " T = 4\n", + " else:\n", + " T = 0.02\n", + " t = np.arange(0, T + dt, dt)\n", + " t_span = (t[0], t[-1])\n", + " x0_train = [0.55]\n", + " x_train = solve_ivp(enzyme, t_span, x0_train, t_eval=t, **integrator_keywords).y.T\n", + "\n", + " # Initialize custom SINDy library so that we can have\n", + " # x_dot inside it.\n", + " x_library_functions = [\n", + " lambda x: x,\n", + " lambda x, y: x * y,\n", + " lambda x: x**2,\n", + " lambda x, y, z: x * y * z,\n", + " lambda x, y: x * y**2,\n", + " lambda x: x**3,\n", + " lambda x, y, z, w: x * y * z * w,\n", + " lambda x, y, z: x * y * z**2,\n", + " lambda x, y: x * y**3,\n", + " lambda x: x**4,\n", + " ]\n", + " x_dot_library_functions = [lambda x: x]\n", + "\n", + " # library function names includes both the x_library_functions\n", + " # and x_dot_library_functions names\n", + " library_function_names = [\n", + " lambda x: x,\n", + " lambda x, y: x + y,\n", + " lambda x: x + x,\n", + " lambda x, y, z: x + y + z,\n", + " lambda x, y: x + y + y,\n", + " lambda x: x + x + x,\n", + " lambda x, y, z, w: x + y + z + w,\n", + " lambda x, y, z: x + y + z + z,\n", + " lambda x, y: x + y + y + y,\n", + " lambda x: x + x + x + x,\n", + " lambda x: x,\n", + " ]\n", + "\n", + " # Need to pass time base to the library so can build the x_dot library from x\n", + " sindy_library = ps.SINDyPILibrary(\n", + " library_functions=x_library_functions,\n", + " x_dot_library_functions=x_dot_library_functions,\n", + " t=t,\n", + " function_names=library_function_names,\n", + " include_bias=True,\n", + " )\n", + "\n", + " # Use the SINDy-PI optimizer, which relies on CVXPY.\n", + " # Note that if LHS of the equation fits the data poorly,\n", + " # CVXPY often returns failure.\n", + " sindy_opt = ps.SINDyPI(\n", + " threshold=1e-6,\n", + " tol=1e-8,\n", + " thresholder=\"l1\",\n", + " max_iter=20000,\n", + " )\n", + " model = ps.SINDy(\n", + " optimizer=sindy_opt,\n", + " feature_library=sindy_library,\n", + " differentiation_method=ps.FiniteDifference(drop_endpoints=True),\n", + " )\n", + " model.fit(x_train, t=t)\n", + " model.print()" + ] + }, + { + "cell_type": "markdown", + "id": "4bc4d167", + "metadata": {}, + "source": [ + "## SINDy with control parameters (SINDyCP)\n", + "The control input in PySINDy can be used to discover equations parameterized by control parameters in conjunction with the `ParameterizedLibrary`. We demonstrate on the logistic map\n", + "$$ x_{n+1} = r x_n(1-x_n)$$\n", + "which depends on a single parameter $r$." + ] + }, + { + "cell_type": "code", + "execution_count": 66, + "id": "2e31e153", + "metadata": { + "execution": { + "iopub.execute_input": "2023-07-25T20:46:02.220591Z", + "iopub.status.busy": "2023-07-25T20:46:02.220104Z", + "iopub.status.idle": "2023-07-25T20:46:04.702189Z", + "shell.execute_reply": "2023-07-25T20:46:04.701594Z" + } + }, + "outputs": [ + { + "data": { + "image/png": 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+ "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# Iterate the map and drop the initial 500-step transient. The behavior is chaotic for r>3.6.\n", + "if __name__ != \"testing\":\n", + " num = 1000\n", + " N = 1000\n", + " N_drop = 500\n", + "else:\n", + " num = 20\n", + " N = 20\n", + " N_drop = 10\n", + "r0 = 3.5\n", + "rs = r0 + np.arange(num) / num * (4 - r0)\n", + "xss = []\n", + "for r in rs:\n", + " xs = []\n", + " x = 0.5\n", + " for n in range(N + N_drop):\n", + " if n >= N_drop:\n", + " xs = xs + [x]\n", + " x = r * x * (1 - x)\n", + " xss = xss + [xs]\n", + "\n", + "plt.figure(figsize=(4, 4), dpi=100)\n", + "for ind in range(num):\n", + " plt.plot(np.ones(N) * rs[ind], xss[ind], \",\", alpha=0.1, c=\"black\", rasterized=True)\n", + "plt.xlabel(\"$r$\")\n", + "plt.ylabel(\"$x_n$\")\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "id": "870a68f7", + "metadata": {}, + "source": [ + "We construct a `parameter_library` and a `feature_library` to act on the input data `x` and the control input `u` independently. The `ParameterizedLibrary` is composed of products of the two libraries output features. This enables fine control over the library features, which is especially useful in the case of PDEs like those arising in pattern formation modeling. See this [notebook](https://github.com/dynamicslab/pysindy/blob/master/examples/17_parameterized_pattern_formation/17_parameterized_pattern_formation.ipynb) for examples." + ] + }, + { + "cell_type": "code", + "execution_count": 67, + "id": "359cec92", + "metadata": { + "execution": { + "iopub.execute_input": "2023-07-25T20:46:04.705034Z", + "iopub.status.busy": "2023-07-25T20:46:04.704608Z", + "iopub.status.idle": "2023-07-25T20:46:04.721728Z", + "shell.execute_reply": "2023-07-25T20:46:04.720637Z" + } + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "(x)[k+1] = 1.000 r[k] x[k] + -1.000 r[k] x[k]^2\n" + ] + } + ], + "source": [ + "# use four parameter values as training data\n", + "rs_train = [3.6, 3.7, 3.8, 3.9]\n", + "xs_train = [np.array(xss[np.where(np.array(rs) == r)[0][0]]) for r in rs_train]\n", + "\n", + "feature_lib = ps.PolynomialLibrary(degree=3, include_bias=True)\n", + "parameter_lib = ps.PolynomialLibrary(degree=1, include_bias=True)\n", + "lib = ps.ParameterizedLibrary(\n", + " feature_library=feature_lib,\n", + " parameter_library=parameter_lib,\n", + " num_features=1,\n", + " num_parameters=1,\n", + ")\n", + "opt = ps.STLSQ(threshold=1e-1, normalize_columns=False)\n", + "model = ps.SINDy(\n", + " feature_library=lib, optimizer=opt, feature_names=[\"x\", \"r\"], discrete_time=True\n", + ")\n", + "model.fit(xs_train, u=rs_train)\n", + "model.print()" + ] + }, + { + "cell_type": "markdown", + "id": "a9a4dc66", + "metadata": {}, + "source": [ + "## PDEFIND Feature Overview\n", + "PySINDy now supports SINDy for PDE identification (PDE-FIND) (Rudy, Samuel H., Steven L. Brunton, Joshua L. Proctor, and J. Nathan Kutz. \"Data-driven discovery of partial differential equations.\" Science Advances 3, no. 4 (2017): e1602614.). We illustrate a basic example on Burgers' equation:\n", + "$$u_t = -uu_x + 0.1u_{xx}$$\n", + "\n", + "Note that for noisy PDE data, the most robust method is to use the weak form of PDEFIND (see below)!" + ] + }, + { + "cell_type": "code", + "execution_count": 68, + "id": "b6e77746", + "metadata": { + "execution": { + "iopub.execute_input": "2023-07-25T20:46:04.726064Z", + "iopub.status.busy": "2023-07-25T20:46:04.725595Z", + "iopub.status.idle": "2023-07-25T20:46:05.312871Z", + "shell.execute_reply": "2023-07-25T20:46:05.312192Z" + } + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "(x0)' = 0.100 x0_11 + -1.001 x0x0_1\n" + ] + }, + { + "data": { + "image/png": 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", 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "from scipy.io import loadmat\n", + "\n", + "# Load data\n", + "data = loadmat(data / \"burgers.mat\")\n", + "t = np.ravel(data[\"t\"])\n", + "x = np.ravel(data[\"x\"])\n", + "u = np.real(data[\"usol\"])\n", + "dt = t[1] - t[0]\n", + "dx = x[1] - x[0]\n", + "u_dot = ps.FiniteDifference(axis=-1)._differentiate(u, t=dt)\n", + "\n", + "# Plot the spatiotemporal data\n", + "plt.figure()\n", + "plt.imshow(u, aspect=\"auto\")\n", + "plt.colorbar()\n", + "plt.figure()\n", + "plt.imshow(u_dot, aspect=\"auto\")\n", + "plt.colorbar()\n", + "u = np.reshape(u, (len(x), len(t), 1))\n", + "\n", + "# Define quadratic library with up to third order derivatives\n", + "# on a uniform spatial grid. Do not include a constant term in the function_library!\n", + "pde_lib = ps.PDELibrary(\n", + " function_library=ps.PolynomialLibrary(degree=2,include_bias=False),\n", + " derivative_order=3,\n", + " spatial_grid=x,\n", + " diff_kwargs={\"is_uniform\": True, \"periodic\": True},\n", + ")\n", + "\n", + "optimizer = ps.STLSQ(threshold=0.1, alpha=1e-5, normalize_columns=True)\n", + "model = ps.SINDy(feature_library=pde_lib, optimizer=optimizer)\n", + "# Note that the dimensions of u are reshaped internally,\n", + "# according to the dimensions in spatial_grid\n", + "model.fit(u, t=dt)\n", + "model.print()" + ] + }, + { + "cell_type": "markdown", + "id": "e80d396d", + "metadata": {}, + "source": [ + "### Weak formulation system identification improves robustness to noise.\n", + "PySINDy also supports weak form PDE identification following Reinbold et al. (2019)." + ] + }, + { + "cell_type": "code", + "execution_count": 69, + "id": "37937c74", + "metadata": { + "execution": { + "iopub.execute_input": "2023-07-25T20:46:05.315839Z", + "iopub.status.busy": "2023-07-25T20:46:05.315262Z", + "iopub.status.idle": "2023-07-25T20:46:05.356979Z", + "shell.execute_reply": "2023-07-25T20:46:05.356169Z" + } + }, + "outputs": [], + "source": [ + "# Same library but using the weak formulation\n", + "X, T = np.meshgrid(x, t)\n", + "XT = np.array([X, T]).T\n", + "pde_lib = ps.WeakPDELibrary(\n", + " function_library=ps.PolynomialLibrary(degree=2,include_bias=False),\n", + " derivative_order=3,\n", + " spatiotemporal_grid=XT,\n", + " is_uniform=True,\n", + ")" + ] + }, + { + "cell_type": "code", + "execution_count": 70, + "id": "db3c854f", + "metadata": { + "execution": { + "iopub.execute_input": "2023-07-25T20:46:05.359921Z", + "iopub.status.busy": "2023-07-25T20:46:05.359460Z", + "iopub.status.idle": "2023-07-25T20:46:05.423798Z", + "shell.execute_reply": "2023-07-25T20:46:05.423142Z" + } + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "(x0)' = 0.101 x0_11 + -1.003 x0x0_1\n" + ] + } + ], + "source": [ + "optimizer = ps.STLSQ(threshold=0.01, alpha=1e-5, normalize_columns=True)\n", + "model = ps.SINDy(feature_library=pde_lib, optimizer=optimizer)\n", + "\n", + "# Note that reshaping u is done internally\n", + "model.fit(u, t=dt)\n", + "model.print()" + ] + }, + { + "cell_type": "markdown", + "id": "d9587a19", + "metadata": {}, + "source": [ + "### GeneralizedLibrary\n", + "The `GeneralizedLibrary` is meant for identifying ODEs/PDEs the depend on the spatial and/or temporal coordinates and/or nonlinear functions of derivative terms.\n", + "\n", + "Often, especially for PDEs, there is some explicit spatiotemporal dependence such as through an external potential. For instance, a well known PDE is the Poisson equation for the electric potential in 2D:\n", + "$$ (\\partial_{xx} + \\partial_{yy})\\phi(x, y) = \\rho(x,y).$$\n", + "\n", + "\n", + "**Note that all other SINDy libraries implemented in PySINDy only allow for functions of $\\phi(x, y)$ on the RHS of the SINDy equation.** This method allows for functions of the spatial and temporal coordinates like $\\rho(x, y)$, as well as anything else you can imagine.\n", + "\n", + "Let's suppose we have a distribution like the following\n", + "$$ \\rho(x, y) = x^2 + y^2$$\n", + "We can actually directly input $(\\partial_{xx} + \\partial_{yy})\\phi(x, y)$ as \"x_dot\" in the SINDy fit, functionally replacing the normal left-hand-side (LHS) of the SINDy equation. Then we can build a candidate library of terms to discover the correct charge density matching this data.\n", + "\n", + "In the following, we will build three different libraries, each using their own subset of inputs, tensor a subset of them together, and fit a model. This is total overkill for this problem but hopefully is illustrative." + ] + }, + { + "cell_type": "code", + "execution_count": 71, + "id": "5a9a5787", + "metadata": { + "execution": { + "iopub.execute_input": "2023-07-25T20:46:05.426588Z", + "iopub.status.busy": "2023-07-25T20:46:05.426332Z", + "iopub.status.idle": "2023-07-25T20:46:06.325663Z", + "shell.execute_reply": "2023-07-25T20:46:06.324981Z" + } + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "(x0)' = 1.045 x1^2 + 1.061 x2^2\n", + "(x1)' = 1.000 x1\n", + "(x2)' = 1.000 x2\n" + ] + }, + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# Define the spatial grid\n", + "if __name__ != \"testing\":\n", + " nx = 50\n", + " ny = 100\n", + "else:\n", + " nx = 6 # must be even\n", + " ny = 10\n", + "Lx = 1\n", + "Ly = 1\n", + "x = np.linspace(0, Lx, nx)\n", + "dx = x[1] - x[0]\n", + "y = np.linspace(0, Ly, ny)\n", + "dy = y[1] - y[0]\n", + "X, Y = np.meshgrid(x, y, indexing=\"ij\")\n", + "\n", + "# Define rho\n", + "rho = X**2 + Y**2\n", + "plt.figure(figsize=(20, 3))\n", + "plt.subplot(1, 5, 1)\n", + "plt.imshow(rho, aspect=\"auto\", origin=\"lower\")\n", + "plt.title(r\"$\\rho(x, y)$\")\n", + "plt.colorbar()\n", + "\n", + "# Generate the PDE data for phi by fourier transforms\n", + "# since this is homogeneous PDE\n", + "# and we assume periodic boundary conditions\n", + "nx2 = int(nx / 2)\n", + "ny2 = int(ny / 2)\n", + "# Define Fourier wavevectors (kx, ky)\n", + "kx = (2 * np.pi / Lx) * np.hstack(\n", + " (np.linspace(0, nx2 - 1, nx2), np.linspace(-nx2, -1, nx2))\n", + ")\n", + "ky = (2 * np.pi / Ly) * np.hstack(\n", + " (np.linspace(0, ny2 - 1, ny2), np.linspace(-ny2, -1, ny2))\n", + ")\n", + "\n", + "# Get 2D mesh in (kx, ky)\n", + "KX, KY = np.meshgrid(kx, ky, indexing=\"ij\")\n", + "K2 = KX**2 + KY**2\n", + "K2[0, 0] = 1e-5\n", + "\n", + "# Generate phi data by solving the PDE and plot results\n", + "phi = np.real(np.fft.ifft2(-np.fft.fft2(rho) / K2))\n", + "plt.subplot(1, 5, 2)\n", + "plt.imshow(phi, aspect=\"auto\", origin=\"lower\")\n", + "plt.title(r\"$\\phi(x, y)$\")\n", + "plt.colorbar()\n", + "\n", + "# Make del^2 phi and plot various quantities\n", + "phi_xx = ps.FiniteDifference(d=2, axis=0)._differentiate(phi, dx)\n", + "phi_yy = ps.FiniteDifference(d=2, axis=1)._differentiate(phi, dy)\n", + "plt.subplot(1, 5, 3)\n", + "plt.imshow(phi_xx, aspect=\"auto\", origin=\"lower\")\n", + "plt.title(r\"$\\phi_{xx}(x, y)$\")\n", + "plt.subplot(1, 5, 4)\n", + "plt.imshow(phi_yy, aspect=\"auto\", origin=\"lower\")\n", + "plt.title(r\"$\\phi_{yy}(x, y)$\")\n", + "plt.subplot(1, 5, 5)\n", + "plt.imshow(\n", + " phi_xx + phi_yy + abs(np.min(phi_xx + phi_yy)),\n", + " aspect=\"auto\",\n", + " origin=\"lower\",\n", + ")\n", + "plt.title(r\"$\\phi_{xx}(x, y) + \\phi_{yy}(x, y)$\")\n", + "plt.colorbar()\n", + "\n", + "# Define a PolynomialLibrary, FourierLibrary, and PDELibrary\n", + "poly_library = ps.PolynomialLibrary(include_bias=False)\n", + "fourier_library = ps.FourierLibrary()\n", + "X_mesh, Y_mesh = np.meshgrid(x, y)\n", + "pde_library = ps.PDELibrary(function_library=ps.CustomLibrary(library_functions=[],function_names=[]),\n", + " derivative_order=1, spatial_grid=np.asarray([X_mesh, Y_mesh]).T\n", + ")\n", + "\n", + "# Inputs are going to be all the variables [phi, X, Y].\n", + "# Remember we can use a subset of these input variables to generate each library\n", + "data = np.transpose(np.asarray([phi, X, Y]), [1, 2, 0])\n", + "\n", + "# The 'x_dot' terms will be [phi_xx, X, Y]\n", + "# Remember these are the things that are being fit in the SINDy regression\n", + "Laplacian_phi = phi_xx + phi_yy + abs(np.min(phi_xx + phi_yy))\n", + "data_dot = np.transpose(np.asarray([Laplacian_phi, X, Y]), [1, 2, 0])\n", + "\n", + "# Tensor polynomial library with the PDE library\n", + "tensor_array = [[1, 0, 1]]\n", + "\n", + "# Remove X and Y from PDE library terms because why would we take these derivatives\n", + "inputs_per_library = [(0, 1, 2), (0, 1, 2), (0,)]\n", + "\n", + "# Fit a generalized library of 3 feature libraries + 1 internally\n", + "# generated tensored library and only use the input variable phi\n", + "# for the PDELibrary. Note that this holds true both for the\n", + "# individual PDELibrary and any tensored libraries constructed from it.\n", + "generalized_library = ps.GeneralizedLibrary(\n", + " [poly_library, fourier_library, pde_library],\n", + " tensor_array=tensor_array,\n", + " inputs_per_library=inputs_per_library,\n", + ")\n", + "optimizer = ps.STLSQ(threshold=8, alpha=1e-3, normalize_columns=True)\n", + "model = ps.SINDy(feature_library=generalized_library, optimizer=optimizer)\n", + "model.fit(data, x_dot=data_dot)\n", + "\n", + "# Note scale of phi is large so some coefficients >> 1\n", + "# --> would want to rescale phi with eps_0 for a harder problem\n", + "model.print()" + ] + }, + { + "cell_type": "code", + "execution_count": 72, + "id": "942df264", + "metadata": { + "execution": { + "iopub.execute_input": "2023-07-25T20:46:06.327909Z", + "iopub.status.busy": "2023-07-25T20:46:06.327651Z", + "iopub.status.idle": "2023-07-25T20:46:07.117539Z", + "shell.execute_reply": "2023-07-25T20:46:07.116832Z" + } + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Feature names:\n", + " ['x0', 'x1', 'x2', 'x0^2', 'x0 x1', 'x0 x2', 'x1^2', 'x1 x2', 'x2^2', 'sin(1 x0)', 'cos(1 x0)', 'sin(1 x1)', 'cos(1 x1)', 'sin(1 x2)', 'cos(1 x2)', 'x0_2', 'x0_1', 'x0 x0_2', 'x0 x0_1', 'x1 x0_2', 'x1 x0_1', 'x2 x0_2', 'x2 x0_1', 'x0^2 x0_2', 'x0^2 x0_1', 'x0 x1 x0_2', 'x0 x1 x0_1', 'x0 x2 x0_2', 'x0 x2 x0_1', 'x1^2 x0_2', 'x1^2 x0_1', 'x1 x2 x0_2', 'x1 x2 x0_1', 'x2^2 x0_2', 'x2^2 x0_1']\n" + ] + }, + { + "data": { + "image/png": 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" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# Get prediction of rho and plot results\n", + "# predict expects a time axis...so add one and ignore it...\n", + "data_shaped = data.reshape((data.shape[0], data.shape[1], 1, data.shape[2]))\n", + "rho_pred = model.predict(data_shaped)[:, :, 0, :]\n", + "if __name__ != \"testing\":\n", + " plt.figure(figsize=(16, 4))\n", + " plt.subplot(1, 3, 1)\n", + " plt.title(r\"True $\\rho$\")\n", + " plt.imshow(rho, aspect=\"auto\", origin=\"lower\")\n", + " plt.colorbar()\n", + " plt.subplot(1, 3, 2)\n", + " plt.title(r\"Predicted $\\rho_p$\")\n", + " plt.imshow(rho_pred[:, :, 0], aspect=\"auto\", origin=\"lower\")\n", + " plt.colorbar()\n", + " plt.subplot(1, 3, 3)\n", + " plt.title(r\"Residual errors $\\rho - \\rho_p$\")\n", + " plt.imshow(rho - rho_pred[:, :, 0], aspect=\"auto\", origin=\"lower\")\n", + " plt.colorbar()\n", + " print(\"Feature names:\\n\", model.get_feature_names())" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "94e2e5e2", + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "jupytext": { + "cell_metadata_filter": "-all", + "main_language": "python", + "notebook_metadata_filter": "-all" + }, + "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": "3.11.5" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/examples/1_feature_overview/example.py b/examples/1_feature_overview/example.py new file mode 100644 index 000000000..411b619a0 --- /dev/null +++ b/examples/1_feature_overview/example.py @@ -0,0 +1,1568 @@ +#!/usr/bin/env python +# coding: utf-8 +# # Feature Overview +# +# This notebook provides a simple overview of the basic functionality of PySINDy. In addition to demonstrating the basic usage for fitting a SINDy model, we demonstrate several means of customizing the SINDy fitting procedure. These include different forms of input data, different optimization methods, different differentiation methods, and custom feature libraries. +# +# An interactive version of this notebook is available on binder. +# [![Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/dynamicslab/pysindy/v1.7.3?filepath=examples/1_feature_overview.ipynb) +# In[1]: +import warnings +from contextlib import contextmanager +from copy import copy +from pathlib import Path + +import matplotlib.pyplot as plt +import numpy as np +from scipy.integrate import solve_ivp +from scipy.linalg import LinAlgWarning +from sklearn.exceptions import ConvergenceWarning +from sklearn.linear_model import Lasso + +import pysindy as ps +from pysindy.utils import enzyme +from pysindy.utils import lorenz +from pysindy.utils import lorenz_control + +if __name__ != "testing": + t_end_train = 10 + t_end_test = 15 +else: + t_end_train = 0.04 + t_end_test = 0.04 + +data = (Path() / "../data").resolve() + + +@contextmanager +def ignore_specific_warnings(): + filters = copy(warnings.filters) + warnings.filterwarnings("ignore", category=ConvergenceWarning) + warnings.filterwarnings("ignore", category=LinAlgWarning) + warnings.filterwarnings("ignore", category=UserWarning) + yield + warnings.filters = filters + + +if __name__ == "testing": + import sys + import os + + sys.stdout = open(os.devnull, "w") + + +# In[2]: + + +# Seed the random number generators for reproducibility +np.random.seed(100) + + +# ### A note on solve_ivp vs odeint before we continue +# The default solver for `solve_ivp` is a Runga-Kutta method (RK45) but this seems to work quite poorly on a number of these examples, likely because they are multi-scale and chaotic. Instead, the LSODA method seems to perform quite well (ironically this is the default for the older `odeint` method). This is a nice reminder that system identification is important to get the right model, but a good integrator is still needed at the end! + +# In[3]: + + +# Initialize integrator keywords for solve_ivp to replicate the odeint defaults +integrator_keywords = {} +integrator_keywords["rtol"] = 1e-12 +integrator_keywords["method"] = "LSODA" +integrator_keywords["atol"] = 1e-12 + + +# ## Basic usage +# We will fit a SINDy model to the famous Lorenz system: +# $$ \dot{x} = \sigma (y - x),$$ +# $$ \dot{y} = x(\rho - z) - y, $$ +# $$ \dot{z} = x y - \beta z. $$ +# + +# ### Train the model + +# In[4]: + + +# Generate measurement data +dt = 0.002 + +t_train = np.arange(0, t_end_train, dt) +x0_train = [-8, 8, 27] +t_train_span = (t_train[0], t_train[-1]) +x_train = solve_ivp( + lorenz, t_train_span, x0_train, t_eval=t_train, **integrator_keywords +).y.T + + +# In[5]: + + +# Instantiate and fit the SINDy model +model = ps.SINDy() +model.fit(x_train, t=dt) +model.print() + + +# ### Assess results on a test trajectory + +# In[6]: + + +# Evolve the Lorenz equations in time using a different initial condition +t_test = np.arange(0, t_end_test, dt) +x0_test = np.array([8, 7, 15]) +t_test_span = (t_test[0], t_test[-1]) +x_test = solve_ivp( + lorenz, t_test_span, x0_test, t_eval=t_test, **integrator_keywords +).y.T + +# Compare SINDy-predicted derivatives with finite difference derivatives +print("Model score: %f" % model.score(x_test, t=dt)) + + +# ### Predict derivatives with learned model + +# In[7]: + + +# Predict derivatives using the learned model +x_dot_test_predicted = model.predict(x_test) + +# Compute derivatives with a finite difference method, for comparison +x_dot_test_computed = model.differentiate(x_test, t=dt) + +fig, axs = plt.subplots(x_test.shape[1], 1, sharex=True, figsize=(7, 9)) +for i in range(x_test.shape[1]): + axs[i].plot(t_test, x_dot_test_computed[:, i], "k", label="numerical derivative") + axs[i].plot(t_test, x_dot_test_predicted[:, i], "r--", label="model prediction") + axs[i].legend() + axs[i].set(xlabel="t", ylabel=r"$\dot x_{}$".format(i)) +fig.show() + + +# ### Simulate forward in time + +# In[8]: + + +# Evolve the new initial condition in time with the SINDy model +x_test_sim = model.simulate(x0_test, t_test) + +fig, axs = plt.subplots(x_test.shape[1], 1, sharex=True, figsize=(7, 9)) +for i in range(x_test.shape[1]): + axs[i].plot(t_test, x_test[:, i], "k", label="true simulation") + axs[i].plot(t_test, x_test_sim[:, i], "r--", label="model simulation") + axs[i].legend() + axs[i].set(xlabel="t", ylabel="$x_{}$".format(i)) + +fig = plt.figure(figsize=(10, 4.5)) +ax1 = fig.add_subplot(121, projection="3d") +ax1.plot(x_test[:, 0], x_test[:, 1], x_test[:, 2], "k") +ax1.set(xlabel="$x_0$", ylabel="$x_1$", zlabel="$x_2$", title="true simulation") + +ax2 = fig.add_subplot(122, projection="3d") +ax2.plot(x_test_sim[:, 0], x_test_sim[:, 1], x_test_sim[:, 2], "r--") +ax2.set(xlabel="$x_0$", ylabel="$x_1$", zlabel="$x_2$", title="model simulation") + +fig.show() + + +# ## Different forms of input data +# +# Here we explore different types of input data accepted by the the `SINDy` class. + +# ### Single trajectory, pass in collection times + +# In[9]: + + +model = ps.SINDy() +model.fit(x_train, t=t_train) +model.print() + + +# ### Single trajectory, set default timestep +# Since we used a uniform timestep when defining `t_train` we can tell set a default timestep to be used whenever `t` isn't passed in. + +# In[10]: + + +model = ps.SINDy(t_default=dt) +model.fit(x_train) +model.print() + + +# ### Single trajectory, pass in pre-computed derivatives + +# In[11]: + + +x_dot_true = np.zeros(x_train.shape) +for i in range(t_train.size): + x_dot_true[i] = lorenz(t_train[i], x_train[i]) + +model = ps.SINDy() +model.fit(x_train, t=t_train, x_dot=x_dot_true) +model.print() + + +# ### Multiple trajectories +# We use the Lorenz equations to evolve multiple different initial conditions forward in time, passing all the trajectories into a single `SINDy` object. Note that `x_train_multi` is a list of 2D numpy arrays. + +# In[12]: + + +if __name__ != "testing": + n_trajectories = 20 + sample_range = (500, 1500) +else: + n_trajectories = 2 + sample_range = (10, 15) +x0s = np.array([36, 48, 41]) * (np.random.rand(n_trajectories, 3) - 0.5) + np.array( + [0, 0, 25] +) +x_train_multi = [] +for i in range(n_trajectories): + x_train_multi.append( + solve_ivp( + lorenz, t_train_span, x0s[i], t_eval=t_train, **integrator_keywords + ).y.T + ) + +model = ps.SINDy() +model.fit(x_train_multi, t=dt) +model.print() + + +# ### Multiple trajectories, different lengths of time +# This example is similar to the previous one, but each trajectory consists of a different number of measurements. + +# In[13]: + + +x0s = np.array([36, 48, 41]) * (np.random.rand(n_trajectories, 3) - 0.5) + np.array( + [0, 0, 25] +) +x_train_multi = [] +t_train_multi = [] +for i in range(n_trajectories): + n_samples = np.random.randint(*sample_range) + t = np.arange(0, n_samples * dt, dt) + t_span = (t[0], t[-1]) + x_train_multi.append( + solve_ivp(lorenz, t_span, x0s[i], t_eval=t, **integrator_keywords).y.T + ) + t_train_multi.append(t) + +model = ps.SINDy() +model.fit(x_train_multi, t=t_train_multi) +model.print() + + +# ### Discrete time dynamical system (map) + +# In[14]: + + +def f(x): + return 3.6 * x * (1 - x) + + +if __name__ != "testing": + n_steps = 1000 +else: + n_steps = 10 +eps = 0.001 # Noise level +x_train_map = np.zeros((n_steps)) +x_train_map[0] = 0.5 +for i in range(1, n_steps): + x_train_map[i] = f(x_train_map[i - 1]) + eps * np.random.randn() +model = ps.SINDy(discrete_time=True) +model.fit(x_train_map) + +model.print() + + +# ### Pandas DataFrame + +# In[15]: + + +import pandas as pd + +# Create a dataframe with entries corresponding to measurements and +# indexed by the time at which the measurements were taken +df = pd.DataFrame(data=x_train, columns=["x", "y", "z"], index=t_train) + +# The column names can be used as feature names +model = ps.SINDy(feature_names=df.columns) + +# Everything needs to be converted to numpy arrays to be passed in +model.fit(df.values, t=df.index.values) +model.print() + + +# ## Optimization options +# In this section we provide examples of different parameters accepted by the built-in sparse regression optimizers `STLSQ`, `SR3`, `ConstrainedSR3`, `MIOSR`, `SSR`, and `FROLS`. The `Trapping` optimizer is not straightforward to use; please check out Example 8 for some examples. We also show how to use a scikit-learn sparse regressor with PySINDy. + +# ### STLSQ - change parameters + +# In[16]: + + +stlsq_optimizer = ps.STLSQ(threshold=0.01, alpha=0.5) + +model = ps.SINDy(optimizer=stlsq_optimizer) +model.fit(x_train, t=dt) +model.print() + + +# ### STLSQ - verbose (print out optimization terms at each iteration) +# The same verbose option is available with all the other optimizers. For optimizers that use the CVXPY +# package, there is additional boolean flag, verbose_cvxpy, that decides whether or not CVXPY solves will also be verbose. + +# In[17]: + + +stlsq_optimizer = ps.STLSQ(threshold=0.01, alpha=0.5, verbose=True) + +model = ps.SINDy(optimizer=stlsq_optimizer) +model.fit(x_train, t=dt) +model.print() + + +# ### SR3 + +# In[18]: + + +sr3_optimizer = ps.SR3(threshold=0.1, thresholder="l1") + +model = ps.SINDy(optimizer=sr3_optimizer) +model.fit(x_train, t=dt) +model.print() + + +# ### SR3 - with trimming +# `SR3` is capable of automatically trimming outliers from training data. Specifying the parameter `trimming_fraction` tells the method what fraction of samples should be trimmed. + +# In[19]: + + +corrupted_inds = np.random.randint(0, len(x_train), size=len(x_train) // 30) +x_train_corrupted = x_train.copy() +x_train_corrupted[corrupted_inds] += np.random.standard_normal((len(corrupted_inds), 3)) + +# Without trimming +sr3_optimizer = ps.SR3() +with ignore_specific_warnings(): + model = ps.SINDy(optimizer=sr3_optimizer).fit(x_train_corrupted, t=dt) +print("Without trimming") +model.print() + +# With trimming +sr3_optimizer = ps.SR3(trimming_fraction=0.1) +with ignore_specific_warnings(): + model = ps.SINDy(optimizer=sr3_optimizer).fit(x_train_corrupted, t=dt) +print("\nWith trimming") +model.print() + + +# ### SR3 regularizers +# The default regularizer with SR3 is the L0 norm, but L1 and L2 are allowed. Note that the pure L2 option is notably less sparse than the other options. + +# In[20]: + + +sr3_optimizer = ps.SR3(threshold=0.1, thresholder="l0") +with ignore_specific_warnings(): + model = ps.SINDy(optimizer=sr3_optimizer).fit(x_train, t=dt) +print("L0 regularizer: ") +model.print() + +sr3_optimizer = ps.SR3(threshold=0.1, thresholder="l1") +with ignore_specific_warnings(): + model = ps.SINDy(optimizer=sr3_optimizer).fit(x_train, t=dt) +print("L1 regularizer: ") +model.print() + +sr3_optimizer = ps.SR3(threshold=0.1, thresholder="l2") +with ignore_specific_warnings(): + model = ps.SINDy(optimizer=sr3_optimizer).fit(x_train, t=dt) +print("L2 regularizer: ") +model.print() + + +# ### SR3 - with variable thresholding +# `SR3` and its variants (ConstrainedSR3, TrappingSR3, SINDyPI) can use a matrix of thresholds to set different thresholds for different terms. + +# In[21]: + + +# Without thresholds matrix +sr3_optimizer = ps.SR3(threshold=0.1, thresholder="l0") +model = ps.SINDy(optimizer=sr3_optimizer).fit(x_train, t=dt) +print("Threshold = 0.1 for all terms") +model.print() + +# With thresholds matrix +thresholds = 2 * np.ones((10, 3)) +thresholds[4:, :] = 0.1 +sr3_optimizer = ps.SR3(thresholder="weighted_l0", thresholds=thresholds) +model = ps.SINDy(optimizer=sr3_optimizer).fit(x_train, t=dt) +print("Threshold = 0.1 for quadratic terms, else threshold = 1") +model.print() + + +# It can be seen that the x1 term in the second equation correctly gets truncated with these thresholds. +# +# ### ConstrainedSR3 +# We can impose linear equality and inequality constraints on the coefficients in the `SINDy` model using the `ConstrainedSR3` class. Below we constrain the x0 coefficient in the second equation to be exactly 28 and the x0 and x1 coefficients in the first equations to be negatives of one another. See this [notebook](https://github.com/dynamicslab/pysindy/blob/master/examples/7_plasma_examples.ipynb) for examples. + +# In[22]: + + +# Figure out how many library features there will be +library = ps.PolynomialLibrary() +library.fit([ps.AxesArray(x_train, {"ax_sample": 0, "ax_coord": 1})]) +n_features = library.n_output_features_ +print(f"Features ({n_features}):", library.get_feature_names()) + + +# In[23]: + + +# Set constraints +n_targets = x_train.shape[1] +constraint_rhs = np.array([0, 28]) + +# One row per constraint, one column per coefficient +constraint_lhs = np.zeros((2, n_targets * n_features)) + +# 1 * (x0 coefficient) + 1 * (x1 coefficient) = 0 +constraint_lhs[0, 1] = 1 +constraint_lhs[0, 2] = 1 + +# 1 * (x0 coefficient) = 28 +constraint_lhs[1, 1 + n_features] = 1 + +optimizer = ps.ConstrainedSR3( + constraint_rhs=constraint_rhs, constraint_lhs=constraint_lhs +) +model = ps.SINDy(optimizer=optimizer, feature_library=library).fit(x_train, t=dt) +model.print() + + +# In[24]: + + +# Try with normalize columns (doesn't work with constraints!!!) +optimizer = ps.ConstrainedSR3( + constraint_rhs=constraint_rhs, + constraint_lhs=constraint_lhs, + normalize_columns=True, + threshold=10, +) +with ignore_specific_warnings(): + model = ps.SINDy(optimizer=optimizer, feature_library=library).fit(x_train, t=dt) + +model.print() + + +# In[25]: + + +# Repeat with inequality constraints, need CVXPY installed +try: + import cvxpy # noqa: F401 + + run_cvxpy = True +except ImportError: + run_cvxpy = False + print("No CVXPY package is installed") + + +# In[26]: + + +if run_cvxpy: + # Repeat with inequality constraints + eps = 1e-5 + constraint_rhs = np.array([eps, eps, 28]) + + # One row per constraint, one column per coefficient + constraint_lhs = np.zeros((3, n_targets * n_features)) + + # 1 * (x0 coefficient) + 1 * (x1 coefficient) <= eps + constraint_lhs[0, 1] = 1 + constraint_lhs[0, 2] = 1 + + # -eps <= 1 * (x0 coefficient) + 1 * (x1 coefficient) + constraint_lhs[1, 1] = -1 + constraint_lhs[1, 2] = -1 + + # 1 * (x0 coefficient) <= 28 + constraint_lhs[2, 1 + n_features] = 1 + + optimizer = ps.ConstrainedSR3( + constraint_rhs=constraint_rhs, + constraint_lhs=constraint_lhs, + inequality_constraints=True, + thresholder="l1", + tol=1e-7, + threshold=10, + max_iter=10000, + ) + model = ps.SINDy(optimizer=optimizer, feature_library=library).fit(x_train, t=dt) + model.print() + print(optimizer.coef_[0, 1], optimizer.coef_[0, 2]) + + +# ### MIOSR +# Mixed-integer optimized sparse regression (MIOSR) is an optimizer which solves the NP-hard subset selection problem to provable optimality using techniques from mixed-integer optimization. This optimizer is expected to be most performant compared to heuristics in settings with limited data or on systems with small coefficients. See Bertsimas, Dimitris, and Wes Gurnee. "Learning Sparse Nonlinear Dynamics via Mixed-Integer Optimization." arXiv preprint arXiv:2206.00176 (2022). for details. +# +# Note, MIOSR requires `gurobipy` as a dependency. Please either `pip install gurobipy` or `pip install pysindy[miosr]`. +# +# Gurobi is a private company, but a limited academic license is available when you pip install. If you have previously installed `gurobipy` but your license has expired, `import gurobipy` will work but using the functionality will throw a `GurobiError`. See [here](https://support.gurobi.com/hc/en-us/articles/360038967271-How-do-I-renew-my-free-individual-academic-or-free-trial-license-) for how to renew a free academic license. + +# In[29]: + + +try: + import gurobipy + + run_miosr = True + GurobiError = gurobipy.GurobiError +except ImportError: + run_miosr = False + + +# MIOSR can handle sparsity constraints in two ways: dimensionwise sparsity where the algorithm is fit once per each dimension, and global sparsity, where all dimensions are fit jointly to respect the overall sparsity constraint. Additionally, MIOSR can handle constraints and can be adapted to implement custom constraints by advanced users. +# +# ### MIOSR target_sparsity vs. group_sparsity + +# In[31]: + + +if run_miosr: + try: + miosr_optimizer = ps.MIOSR(target_sparsity=7) + model = ps.SINDy(optimizer=miosr_optimizer) + model.fit(x_train, t=dt) + model.print() + except GurobiError: + print("User has an expired gurobi license") + + +# In[32]: + + +if run_miosr: + try: + miosr_optimizer = ps.MIOSR(group_sparsity=(2, 3, 2), target_sparsity=None) + + model = ps.SINDy(optimizer=miosr_optimizer) + model.fit(x_train, t=dt) + model.print() + except GurobiError: + print("User does not have a gurobi license") + + +# ### MIOSR (verbose) with equality constraints + +# In[33]: + + +if run_miosr: + try: + # Set constraints + n_targets = x_train.shape[1] + constraint_rhs = np.array([0, 28]) + + # One row per constraint, one column per coefficient + constraint_lhs = np.zeros((2, n_targets * n_features)) + + # 1 * (x0 coefficient) + 1 * (x1 coefficient) = 0 + constraint_lhs[0, 1] = 1 + constraint_lhs[0, 2] = 1 + + # 1 * (x0 coefficient) = 28 + constraint_lhs[1, 1 + n_features] = 1 + + miosr_optimizer = ps.MIOSR( + constraint_rhs=constraint_rhs, + constraint_lhs=constraint_lhs, + verbose=True, # print the full gurobi log + target_sparsity=7, + ) + model = ps.SINDy(optimizer=miosr_optimizer, feature_library=library) + model.fit(x_train, t=dt) + model.print() + print(optimizer.coef_[0, 1], optimizer.coef_[0, 2]) + except GurobiError: + print("User does not have a gurobi license") + + +# See the [gurobi documentation](https://www.gurobi.com/documentation/9.5/refman/mip_logging.html) for more information on how to read the log output and this [tutorial](https://www.gurobi.com/resource/mip-basics/) on the basics of mixed-integer optimization. + +# ### SSR (greedy algorithm) +# Stepwise sparse regression (SSR) is a greedy algorithm which solves the problem (defaults to ridge regression) by iteratively truncating the smallest coefficient during the optimization. There are many ways one can decide to truncate terms. We implement two popular ways, truncating the smallest coefficient at each iteration, or chopping each coefficient, computing N - 1 models, and then choosing the model with the lowest residual error. See this [notebook](https://github.com/dynamicslab/pysindy/blob/master/examples/11_SSR_FROLS.ipynb) for examples. + +# In[34]: + + +ssr_optimizer = ps.SSR(alpha=0.05) + +model = ps.SINDy(optimizer=ssr_optimizer) +model.fit(x_train, t=dt) +model.print() + + +# The alpha parameter is the same here as in the STLSQ optimizer. It determines the amount of L2 regularization to use, so if alpha is nonzero, this is doing Ridge regression rather than least-squares regression. + +# In[35]: + + +ssr_optimizer = ps.SSR(alpha=0.05, criteria="model_residual") +model = ps.SINDy(optimizer=ssr_optimizer) +model.fit(x_train, t=dt) +model.print() + + +# The kappa parameter determines how sparse a solution is desired. + +# In[36]: + + +ssr_optimizer = ps.SSR(alpha=0.05, criteria="model_residual", kappa=1e-3) +model = ps.SINDy(optimizer=ssr_optimizer) +model.fit(x_train, t=dt) +model.print() + + +# ### FROLS (greedy algorithm) +# Forward Regression Orthogonal Least Squares (FROLS) is another greedy algorithm which solves the least-squares regression problem (actually default is to solve ridge regression) with $L_0$ norm by iteratively selecting the most correlated function in the library. At each step, the candidate functions are orthogonalized with respect to the already-selected functions. The selection criteria is the Error Reduction Ratio, i.e. the normalized increase in the explained output variance due to the addition of a given function to the basis. See this [notebook](https://github.com/dynamicslab/pysindy/blob/master/examples/11_SSR_FROLS.ipynb) for examples. + +# In[37]: + + +optimizer = ps.FROLS(alpha=0.05) +model = ps.SINDy(optimizer=optimizer) +model.fit(x_train, t=dt) +model.print() + + +# The kappa parameter determines how sparse a solution is desired. + +# In[38]: + + +optimizer = ps.FROLS(alpha=0.05, kappa=1e-7) +model = ps.SINDy(optimizer=optimizer) +model.fit(x_train, t=dt) +model.print() + + +# ### LASSO +# In this example we use a third-party Lasso implementation (from scikit-learn) as the optimizer. + +# In[39]: + + +lasso_optimizer = Lasso(alpha=2, max_iter=2000, fit_intercept=False) + +model = ps.SINDy(optimizer=lasso_optimizer) +model.fit(x_train, t=dt) +model.print() + + +# ### Ensemble methods +# One way to improve SINDy performance is to generate many models by sub-sampling the time series (ensemble) or sub-sampling the candidate library $\mathbf{\Theta}$ (library ensemble). The resulting models can then be synthesized by taking the average (bagging), taking the median (this is the recommended because it works well in practice), or some other post-processing. See this [notebook](https://github.com/dynamicslab/pysindy/blob/master/examples/13_ensembling.ipynb) for more examples. + +# In[41]: + + +# Default is to sample the entire time series with replacement, generating 10 models on roughly +# 60% of the total data, with duplicates. + +# Custom feature names +np.random.seed(100) +feature_names = ["x", "y", "z"] + +ensemble_optimizer = ps.EnsembleOptimizer( + ps.STLSQ(threshold=1e-3, normalize_columns=False), + bagging=True, + n_subset=int(0.6 * x_train.shape[0]), +) + +model = ps.SINDy(optimizer=ensemble_optimizer, feature_names=feature_names) +model.fit(x_train, t=dt) +ensemble_coefs = ensemble_optimizer.coef_list +mean_ensemble = np.mean(ensemble_coefs, axis=0) +std_ensemble = np.std(ensemble_coefs, axis=0) + +# Now we sub-sample the library. The default is to omit a single library term. +library_ensemble_optimizer = ps.EnsembleOptimizer( + ps.STLSQ(threshold=1e-3, normalize_columns=False), library_ensemble=True +) +model = ps.SINDy(optimizer=library_ensemble_optimizer, feature_names=feature_names) + +model.fit(x_train, t=dt) +library_ensemble_coefs = library_ensemble_optimizer.coef_list +mean_library_ensemble = np.mean(library_ensemble_coefs, axis=0) +std_library_ensemble = np.std(library_ensemble_coefs, axis=0) + +# Plot results +xticknames = model.get_feature_names() +for i in range(10): + xticknames[i] = "$" + xticknames[i] + "$" +plt.figure(figsize=(10, 4)) +colors = ["b", "r", "k"] +plt.subplot(1, 2, 1) +plt.title("ensembling") +for i in range(3): + plt.errorbar( + range(10), + mean_ensemble[i, :], + yerr=std_ensemble[i, :], + fmt="o", + color=colors[i], + label=r"Equation for $\dot{" + feature_names[i] + r"}$", + ) +ax = plt.gca() +plt.grid(True) +ax.set_xticks(range(10)) +ax.set_xticklabels(xticknames, verticalalignment="top") +plt.subplot(1, 2, 2) +plt.title("library ensembling") +for i in range(3): + plt.errorbar( + range(10), + mean_library_ensemble[i, :], + yerr=std_library_ensemble[i, :], + fmt="o", + color=colors[i], + label=r"Equation for $\dot{" + feature_names[i] + r"}$", + ) +ax = plt.gca() +plt.grid(True) +plt.legend() +ax.set_xticks(range(10)) +ax.set_xticklabels(xticknames, verticalalignment="top") +plt.show() + + +# ## Differentiation options + +# ### Pass in pre-computed derivatives +# Rather than using one of PySINDy's built-in differentiators, you can compute numerical derivatives using a method of your choice then pass them directly to the `fit` method. This option also enables you to use derivative data obtained directly from experiments. + +# In[42]: + + +x_dot_precomputed = ps.FiniteDifference()._differentiate(x_train, t_train) + +model = ps.SINDy() +model.fit(x_train, t=t_train, x_dot=x_dot_precomputed) +model.print() + + +# ### Drop end points from finite difference computation +# Many methods of numerical differentiation exhibit poor performance near the endpoints of the data. The `FiniteDifference` and `SmoothedFiniteDifference` methods allow one to easily drop the endpoints for improved accuracy. + +# In[43]: + + +fd_drop_endpoints = ps.FiniteDifference(drop_endpoints=True) + +model = ps.SINDy(differentiation_method=fd_drop_endpoints) +model.fit(x_train, t=t_train) +model.print() + + +# ### Differentiation along specific array axis +# For partial differential equations (PDEs), you may have spatiotemporal data in a multi-dimensional array. For this case, the `FiniteDifference` method allows one to only differential along a specific axis, so one can easily differentiate in a specific spatial direction. + +# In[44]: + + +from scipy.io import loadmat + +# Load the data stored in a matlab .mat file +kdV = loadmat(data / "kdv.mat") +t = np.ravel(kdV["t"]) +X = np.ravel(kdV["x"]) +x = np.real(kdV["usol"]) +dt_kdv = t[1] - t[0] + +# Plot x and x_dot +plt.figure() +plt.pcolormesh(t, X, x) +plt.xlabel("t", fontsize=16) +plt.ylabel("X", fontsize=16) +plt.title(r"$u(x, t)$", fontsize=16) +plt.figure() +x_dot = ps.FiniteDifference(axis=1)._differentiate(x, t=dt_kdv) + +plt.pcolormesh(t, X, x_dot) +plt.xlabel("t", fontsize=16) +plt.ylabel("x", fontsize=16) +plt.title(r"$\dot{u}(x, t)$", fontsize=16) +plt.show() + + +# ### Smoothed finite difference +# This method, designed for noisy data, applies a smoother (the default is `scipy.signal.savgol_filter`) before performing differentiation. + +# In[45]: + + +smoothed_fd = ps.SmoothedFiniteDifference() + +model = ps.SINDy(differentiation_method=smoothed_fd) +model.fit(x_train, t=t_train) +model.print() + + +# ### More differentiation options +# PySINDy is compatible with any of the differentiation methods from the [derivative](https://pypi.org/project/derivative/) package. They are explored in detail in [this notebook](https://github.com/dynamicslab/pysindy/blob/master/examples/5_differentiation.ipynb). +# +# PySINDy defines a `SINDyDerivative` class for interfacing with `derivative` methods. To use a differentiation method provided by `derivative`, simply pass into `SINDyDerivative` the keyword arguments you would give the [dxdt](https://derivative.readthedocs.io/en/latest/api.html#derivative.differentiation.dxdt) method. + +# In[46]: + + +spline_derivative = ps.SINDyDerivative(kind="spline", s=1e-2) + +model = ps.SINDy(differentiation_method=spline_derivative) +model.fit(x_train, t=t_train) +model.print() + + +# ## Feature libraries + +# ### Custom feature names + +# In[47]: + + +feature_names = ["x", "y", "z"] +model = ps.SINDy(feature_names=feature_names) +model.fit(x_train, t=dt) +model.print() + + +# ### Custom left-hand side when printing the model + +# In[48]: + + +model = ps.SINDy() +model.fit(x_train, t=dt) +model.print(lhs=["dx0/dt", "dx1/dt", "dx2/dt"]) + + +# ### Customize polynomial library +# Omit interaction terms between variables, such as $x_0 x_1$. + +# In[49]: + + +poly_library = ps.PolynomialLibrary(include_interaction=False) + +model = ps.SINDy(feature_library=poly_library, optimizer=ps.STLSQ(threshold=0.5)) +model.fit(x_train, t=dt) +model.print() + + +# ### Fourier library + +# In[50]: + + +fourier_library = ps.FourierLibrary(n_frequencies=3) + +model = ps.SINDy(feature_library=fourier_library, optimizer=ps.STLSQ(threshold=4)) +model.fit(x_train, t=dt) +model.print() + + +# ### Fully custom library +# The `CustomLibrary` class gives you the option to pass in function names to improve the readability of the printed model. Each function "name" should itself be a function. + +# In[51]: + + +library_functions = [ + lambda x: np.exp(x), + lambda x: 1.0 / x, + lambda x: x, + lambda x, y: np.sin(x + y), +] +library_function_names = [ + lambda x: "exp(" + x + ")", + lambda x: "1/" + x, + lambda x: x, + lambda x, y: "sin(" + x + "," + y + ")", +] +custom_library = ps.CustomLibrary( + library_functions=library_functions, function_names=library_function_names +) + +model = ps.SINDy(feature_library=custom_library) +with ignore_specific_warnings(): + model.fit(x_train, t=dt) +model.print() + + +# ### Fully custom library, default function names +# If no function names are given, default ones are given: `f0`, `f1`, ... + +# In[52]: + + +library_functions = [ + lambda x: np.exp(x), + lambda x: 1.0 / x, + lambda x: x, + lambda x, y: np.sin(x + y), +] +custom_library = ps.CustomLibrary(library_functions=library_functions) + +model = ps.SINDy(feature_library=custom_library) +with ignore_specific_warnings(): + model.fit(x_train, t=dt) +model.print() + + +# ### Identity library +# The `IdentityLibrary` leaves input data untouched. It allows the flexibility for users to apply custom transformations to the input data before feeding it into a `SINDy` model. + +# In[53]: + + +identity_library = ps.IdentityLibrary() + +model = ps.SINDy(feature_library=identity_library) +model.fit(x_train, t=dt) +model.print() + + +# ### Concatenate two libraries +# Two or more libraries can be combined via the `+` operator. + +# In[54]: + + +identity_library = ps.IdentityLibrary() +fourier_library = ps.FourierLibrary() +combined_library = identity_library + fourier_library + +model = ps.SINDy(feature_library=combined_library, feature_names=feature_names) +model.fit(x_train, t=dt) +model.print() +model.get_feature_names() + + +# ### Tensor two libraries together +# Two or more libraries can be tensored together via the `*` operator. + +# In[55]: + + +identity_library = ps.PolynomialLibrary(include_bias=False) +fourier_library = ps.FourierLibrary() +combined_library = identity_library * fourier_library + +model = ps.SINDy(feature_library=combined_library, feature_names=feature_names) +model.fit(x_train, t=dt) +# model.print() # prints out long and unobvious model +print("Feature names:\n", model.get_feature_names()) + + +# In[56]: + + +# the model prediction is quite bad of course +# because the library has mostly useless terms +x_dot_test_predicted = model.predict(x_test) + +# Compute derivatives with a finite difference method, for comparison +x_dot_test_computed = model.differentiate(x_test, t=dt) + +fig, axs = plt.subplots(x_test.shape[1], 1, sharex=True, figsize=(7, 9)) +for i in range(x_test.shape[1]): + axs[i].plot(t_test, x_dot_test_computed[:, i], "k", label="numerical derivative") + axs[i].plot(t_test, x_dot_test_predicted[:, i], "r--", label="model prediction") + axs[i].legend() + axs[i].set(xlabel="t", ylabel=r"$\dot x_{}$".format(i)) +fig.show() + + +# ### Generalized library +# +# Create the most general and flexible possible library by combining and tensoring as many libraries as you want, and you can even specify which input variables to use to generate each library! A much more advanced example is shown further below for PDEs. +# One can specify: +#
+# 1. N different libraries to add together +# 2. A list of inputs to use for each library. For two libraries with four inputs this +# would look like inputs_per_library = [[0, 1, 2, 3], [0, 1, 2, 3]] and to avoid using +# the first two input variables in the second library, you would change it to +# inputs_per_library = [[0, 1, 2, 3], [2, 3]]. +# +# 3. A list of libraries to tensor together and add to the overall library. For four libraries, we could make three tensor libraries by using tensor_array = [[1, 0, 1, 1], [1, 1, 1, 1], [0, 0, 1, 1]]. The first sub-array takes the tensor product of libraries 0, 2, 3, the second takes the tensor product of all of them, and the last takes the tensor product of the libraries 2 and 3. This is a silly example since the [1, 1, 1, 1] tensor product already contains all the possible terms. +# 4. A list of library indices to exclude from the overall library. The first N libraries correspond to the input libraries and the subsequent indices correspond to the tensored libraries. For two libraries, exclude_libraries=[0,1] and tensor_array=[[1,1]] would result in a library consisting of only the tensor product. +#
+#
+# Note that using this is a more advanced feature, but with the benefit that it allows any SINDy library you want.
+ +# In[57]: + + +# Initialize two libraries +poly_library = ps.PolynomialLibrary(include_bias=False) +fourier_library = ps.FourierLibrary() + +# Initialize the default inputs, but +# don't use the x0 input for generating the Fourier library +inputs_per_library = [(0, 1, 2), (1, 2)] + +# Tensor all the polynomial and Fourier library terms together +tensor_array = [[1, 1]] + +# Initialize this generalized library, all the work hidden from the user! +generalized_library = ps.GeneralizedLibrary( + [poly_library, fourier_library], + tensor_array=tensor_array, + exclude_libraries=[1], + inputs_per_library=inputs_per_library, +) + +# Fit the model and print the library feature names to check success +model = ps.SINDy(feature_library=generalized_library, feature_names=feature_names) +model.fit(x_train, t=dt) +model.print() +print("Feature names:\n", model.get_feature_names()) + + +# ## SINDy with control (SINDYc) +# SINDy models with control inputs can also be learned. Here we learn a Lorenz control model: +# $$ \dot{x} = \sigma (y - x) + u_0$$ +# $$ \dot{y} = x(\rho - z) - y $$ +# $$ \dot{z} = x y - \beta z - u_1$$ + +# ### Train the model + +# In[58]: + + +# Control input +def u_fun(t): + return np.column_stack([np.sin(2 * t), t**2]) + + +# Generate measurement data +dt = 0.002 + +t_train = np.arange(0, t_end_train, dt) +t_train_span = (t_train[0], t_train[-1]) +x0_train = [-8, 8, 27] +x_train = solve_ivp( + lorenz_control, + t_train_span, + x0_train, + t_eval=t_train, + args=(u_fun,), + **integrator_keywords, +).y.T +u_train = u_fun(t_train) + + +# In[59]: + + +# Instantiate and fit the SINDYc model +model = ps.SINDy() +model.fit(x_train, u=u_train, t=dt) +model.print() + + +# ### Assess results on a test trajectory + +# In[60]: + + +# Evolve the Lorenz equations in time using a different initial condition +t_test = np.arange(0, t_end_test, dt) +t_test_span = (t_test[0], t_test[-1]) +u_test = u_fun(t_test) +x0_test = np.array([8, 7, 15]) +x_test = solve_ivp( + lorenz_control, + t_test_span, + x0_test, + t_eval=t_test, + args=(u_fun,), + **integrator_keywords, +).y.T +u_test = u_fun(t_test) + +# Compare SINDy-predicted derivatives with finite difference derivatives +print("Model score: %f" % model.score(x_test, u=u_test, t=dt)) + + +# ### Predict derivatives with learned model + +# In[61]: + + +# Predict derivatives using the learned model +x_dot_test_predicted = model.predict(x_test, u=u_test) + +# Compute derivatives with a finite difference method, for comparison +x_dot_test_computed = model.differentiate(x_test, t=dt) + +fig, axs = plt.subplots(x_test.shape[1], 1, sharex=True, figsize=(7, 9)) +for i in range(x_test.shape[1]): + axs[i].plot(t_test, x_dot_test_computed[:, i], "k", label="numerical derivative") + axs[i].plot(t_test, x_dot_test_predicted[:, i], "r--", label="model prediction") + axs[i].legend() + axs[i].set(xlabel="t", ylabel=r"$\dot x_{}$".format(i)) +fig.show() + + +# ### Simulate forward in time (control input function known) +# When working with control inputs `SINDy.simulate` requires a *function* to be passed in for the control inputs, `u`, because the default integrator used in `SINDy.simulate` uses adaptive time-stepping. We show what to do in the case when you do not know the functional form for the control inputs in the example following this one. + +# In[62]: + + +# Evolve the new initial condition in time with the SINDy model +x_test_sim = model.simulate(x0_test, t_test, u=u_fun) + +fig, axs = plt.subplots(x_test.shape[1], 1, sharex=True, figsize=(7, 9)) +for i in range(x_test.shape[1]): + axs[i].plot(t_test, x_test[:, i], "k", label="true simulation") + axs[i].plot(t_test, x_test_sim[:, i], "r--", label="model simulation") + axs[i].legend() + axs[i].set(xlabel="t", ylabel="$x_{}$".format(i)) + +fig = plt.figure(figsize=(10, 4.5)) +ax1 = fig.add_subplot(121, projection="3d") +ax1.plot(x_test[:, 0], x_test[:, 1], x_test[:, 2], "k") +ax1.set(xlabel="$x_0$", ylabel="$x_1$", zlabel="$x_2$", title="true simulation") + +ax2 = fig.add_subplot(122, projection="3d") +ax2.plot(x_test_sim[:, 0], x_test_sim[:, 1], x_test_sim[:, 2], "r--") +ax2.set(xlabel="$x_0$", ylabel="$x_1$", zlabel="$x_2$", title="model simulation") + +fig.show() + + +# ### Simulate forward in time (unknown control input function) +# If you only have a vector of control input values at the times in `t_test` and do not know the functional form for `u`, the `simulate` function will internally form an interpolating function based on the vector of control inputs. As a consequence of this interpolation procedure, `simulate` will not give a state estimate for the last time point in `t_test`. This is because the default integrator, `scipy.integrate.solve_ivp` (with LSODA as the default solver), is adaptive and sometimes attempts to evaluate the interpolant outside the domain of interpolation, causing an error. + +# In[63]: + + +u_test = u_fun(t_test) + + +# In[64]: + + +x_test_sim = model.simulate(x0_test, t_test, u=u_test) + +# Note that the output is one example short of the length of t_test +print("Length of t_test:", len(t_test)) +print("Length of simulation:", len(x_test_sim)) + +fig, axs = plt.subplots(x_test.shape[1], 1, sharex=True, figsize=(12, 4)) +for i in range(x_test.shape[1]): + axs[i].plot(t_test[:-1], x_test[:-1, i], "k", label="true simulation") + axs[i].plot(t_test[:-1], x_test_sim[:, i], "r--", label="model simulation") + axs[i].set(xlabel="t", ylabel="$x_{}$".format(i)) + +fig.show() + + +# ## Implicit ODEs +# How would we use SINDy to solve an implicit ODE? In other words, now the LHS can depend on x and x_dot, +# $$\dot{\mathbf{x}} = \mathbf{f}(\mathbf{x}, \dot{\mathbf{x}})$$ +# +# +# In order to deal with this, we need a library $\Theta(\mathbf{x}, \dot{\mathbf{x}})$. SINDy parallel implicit (SINDy-PI) is geared to solve these problems. It solves the optimization problem, +# $$argmin_\mathbf{\Xi} (\|\Theta(\mathbf{X}, \dot{\mathbf{X}}) - \Theta(\mathbf{X}, \dot{\mathbf{X}})\mathbf{\Xi}\| + \lambda \|\mathbf{\Xi}\|_1)$$ +# such that diag$(\mathbf{\Xi}) = 0$. So for every candidate library term it generates a different model. With N state variables, we need to choose N of the equations to solve for the system evolution. See the [SINDy-PI notebook](https://github.com/dynamicslab/pysindy/blob/master/examples/9_sindypi_with_sympy.ipynb) for more details. +# +# Here we illustrate successful identification of the 1D Michelson-Menten enzyme model +# $$\dot{x} = 0.6 - \frac{1.5 x}{0.3 + x}.$$ +# Or, equivalently +# $$\dot{x} = 0.6 - 3 x - \frac{10}{3} x\dot{x}.$$ +# +# Note that some of the model fits fail. This is usually because the LHS term being fitted is a poor match to the data, but this error can also be caused by CVXPY not liking the parameters passed to the solver. +# + +# In[65]: + + +if run_cvxpy: + # define parameters + r = 1 + dt = 0.001 + if __name__ != "testing": + T = 4 + else: + T = 0.02 + t = np.arange(0, T + dt, dt) + t_span = (t[0], t[-1]) + x0_train = [0.55] + x_train = solve_ivp(enzyme, t_span, x0_train, t_eval=t, **integrator_keywords).y.T + + # Initialize custom SINDy library so that we can have + # x_dot inside it. + x_library_functions = [ + lambda x: x, + lambda x, y: x * y, + lambda x: x**2, + lambda x, y, z: x * y * z, + lambda x, y: x * y**2, + lambda x: x**3, + lambda x, y, z, w: x * y * z * w, + lambda x, y, z: x * y * z**2, + lambda x, y: x * y**3, + lambda x: x**4, + ] + x_dot_library_functions = [lambda x: x] + + # library function names includes both the x_library_functions + # and x_dot_library_functions names + library_function_names = [ + lambda x: x, + lambda x, y: x + y, + lambda x: x + x, + lambda x, y, z: x + y + z, + lambda x, y: x + y + y, + lambda x: x + x + x, + lambda x, y, z, w: x + y + z + w, + lambda x, y, z: x + y + z + z, + lambda x, y: x + y + y + y, + lambda x: x + x + x + x, + lambda x: x, + ] + + # Need to pass time base to the library so can build the x_dot library from x + sindy_library = ps.SINDyPILibrary( + library_functions=x_library_functions, + x_dot_library_functions=x_dot_library_functions, + t=t, + function_names=library_function_names, + include_bias=True, + ) + + # Use the SINDy-PI optimizer, which relies on CVXPY. + # Note that if LHS of the equation fits the data poorly, + # CVXPY often returns failure. + sindy_opt = ps.SINDyPI( + threshold=1e-6, + tol=1e-8, + thresholder="l1", + max_iter=20000, + ) + model = ps.SINDy( + optimizer=sindy_opt, + feature_library=sindy_library, + differentiation_method=ps.FiniteDifference(drop_endpoints=True), + ) + model.fit(x_train, t=t) + model.print() + + +# ## SINDy with control parameters (SINDyCP) +# The control input in PySINDy can be used to discover equations parameterized by control parameters in conjunction with the `ParameterizedLibrary`. We demonstrate on the logistic map +# $$ x_{n+1} = r x_n(1-x_n)$$ +# which depends on a single parameter $r$. + +# In[66]: + + +# Iterate the map and drop the initial 500-step transient. The behavior is chaotic for r>3.6. +if __name__ != "testing": + num = 1000 + N = 1000 + N_drop = 500 +else: + num = 20 + N = 20 + N_drop = 10 +r0 = 3.5 +rs = r0 + np.arange(num) / num * (4 - r0) +xss = [] +for r in rs: + xs = [] + x = 0.5 + for n in range(N + N_drop): + if n >= N_drop: + xs = xs + [x] + x = r * x * (1 - x) + xss = xss + [xs] + +plt.figure(figsize=(4, 4), dpi=100) +for ind in range(num): + plt.plot(np.ones(N) * rs[ind], xss[ind], ",", alpha=0.1, c="black", rasterized=True) +plt.xlabel("$r$") +plt.ylabel("$x_n$") +plt.show() + + +# We construct a `parameter_library` and a `feature_library` to act on the input data `x` and the control input `u` independently. The `ParameterizedLibrary` is composed of products of the two libraries output features. This enables fine control over the library features, which is especially useful in the case of PDEs like those arising in pattern formation modeling. See this [notebook](https://github.com/dynamicslab/pysindy/blob/master/examples/17_parameterized_pattern_formation/17_parameterized_pattern_formation.ipynb) for examples. + +# In[67]: + + +# use four parameter values as training data +rs_train = [3.6, 3.7, 3.8, 3.9] +xs_train = [np.array(xss[np.where(np.array(rs) == r)[0][0]]) for r in rs_train] + +feature_lib = ps.PolynomialLibrary(degree=3, include_bias=True) +parameter_lib = ps.PolynomialLibrary(degree=1, include_bias=True) +lib = ps.ParameterizedLibrary( + feature_library=feature_lib, + parameter_library=parameter_lib, + num_features=1, + num_parameters=1, +) +opt = ps.STLSQ(threshold=1e-1, normalize_columns=False) +model = ps.SINDy( + feature_library=lib, optimizer=opt, feature_names=["x", "r"], discrete_time=True +) +model.fit(xs_train, u=rs_train) +model.print() + + +# ## PDEFIND Feature Overview +# PySINDy now supports SINDy for PDE identification (PDE-FIND) (Rudy, Samuel H., Steven L. Brunton, Joshua L. Proctor, and J. Nathan Kutz. "Data-driven discovery of partial differential equations." Science Advances 3, no. 4 (2017): e1602614.). We illustrate a basic example on Burgers' equation: +# $$u_t = -uu_x + 0.1u_{xx}$$ +# +# Note that for noisy PDE data, the most robust method is to use the weak form of PDEFIND (see below)! + +# In[68]: + + +from scipy.io import loadmat + +# Load data +data = loadmat(data / "burgers.mat") +t = np.ravel(data["t"]) +x = np.ravel(data["x"]) +u = np.real(data["usol"]) +dt = t[1] - t[0] +dx = x[1] - x[0] +u_dot = ps.FiniteDifference(axis=-1)._differentiate(u, t=dt) + +# Plot the spatiotemporal data +plt.figure() +plt.imshow(u, aspect="auto") +plt.colorbar() +plt.figure() +plt.imshow(u_dot, aspect="auto") +plt.colorbar() +u = np.reshape(u, (len(x), len(t), 1)) + +# Define quadratic library with up to third order derivatives +# on a uniform spatial grid. Do not include a constant term in the function_library! +pde_lib = ps.PDELibrary( + function_library=ps.PolynomialLibrary(degree=2, include_bias=False), + derivative_order=3, + spatial_grid=x, + diff_kwargs={"is_uniform": True, "periodic": True}, +) + +optimizer = ps.STLSQ(threshold=0.1, alpha=1e-5, normalize_columns=True) +model = ps.SINDy(feature_library=pde_lib, optimizer=optimizer) +# Note that the dimensions of u are reshaped internally, +# according to the dimensions in spatial_grid +model.fit(u, t=dt) +model.print() + + +# ### Weak formulation system identification improves robustness to noise. +# PySINDy also supports weak form PDE identification following Reinbold et al. (2019). + +# In[69]: + + +# Same library but using the weak formulation +X, T = np.meshgrid(x, t) +XT = np.array([X, T]).T +pde_lib = ps.WeakPDELibrary( + function_library=ps.PolynomialLibrary(degree=2, include_bias=False), + derivative_order=3, + spatiotemporal_grid=XT, + is_uniform=True, +) + + +# In[70]: + + +optimizer = ps.STLSQ(threshold=0.01, alpha=1e-5, normalize_columns=True) +model = ps.SINDy(feature_library=pde_lib, optimizer=optimizer) + +# Note that reshaping u is done internally +model.fit(u, t=dt) +model.print() + + +# ### GeneralizedLibrary +# The `GeneralizedLibrary` is meant for identifying ODEs/PDEs the depend on the spatial and/or temporal coordinates and/or nonlinear functions of derivative terms. +# +# Often, especially for PDEs, there is some explicit spatiotemporal dependence such as through an external potential. For instance, a well known PDE is the Poisson equation for the electric potential in 2D: +# $$ (\partial_{xx} + \partial_{yy})\phi(x, y) = \rho(x,y).$$ +# +# +# **Note that all other SINDy libraries implemented in PySINDy only allow for functions of $\phi(x, y)$ on the RHS of the SINDy equation.** This method allows for functions of the spatial and temporal coordinates like $\rho(x, y)$, as well as anything else you can imagine. +# +# Let's suppose we have a distribution like the following +# $$ \rho(x, y) = x^2 + y^2$$ +# We can actually directly input $(\partial_{xx} + \partial_{yy})\phi(x, y)$ as "x_dot" in the SINDy fit, functionally replacing the normal left-hand-side (LHS) of the SINDy equation. Then we can build a candidate library of terms to discover the correct charge density matching this data. +# +# In the following, we will build three different libraries, each using their own subset of inputs, tensor a subset of them together, and fit a model. This is total overkill for this problem but hopefully is illustrative. + +# In[71]: + + +# Define the spatial grid +if __name__ != "testing": + nx = 50 + ny = 100 +else: + nx = 6 # must be even + ny = 10 +Lx = 1 +Ly = 1 +x = np.linspace(0, Lx, nx) +dx = x[1] - x[0] +y = np.linspace(0, Ly, ny) +dy = y[1] - y[0] +X, Y = np.meshgrid(x, y, indexing="ij") + +# Define rho +rho = X**2 + Y**2 +plt.figure(figsize=(20, 3)) +plt.subplot(1, 5, 1) +plt.imshow(rho, aspect="auto", origin="lower") +plt.title(r"$\rho(x, y)$") +plt.colorbar() + +# Generate the PDE data for phi by fourier transforms +# since this is homogeneous PDE +# and we assume periodic boundary conditions +nx2 = int(nx / 2) +ny2 = int(ny / 2) +# Define Fourier wavevectors (kx, ky) +kx = (2 * np.pi / Lx) * np.hstack( + (np.linspace(0, nx2 - 1, nx2), np.linspace(-nx2, -1, nx2)) +) +ky = (2 * np.pi / Ly) * np.hstack( + (np.linspace(0, ny2 - 1, ny2), np.linspace(-ny2, -1, ny2)) +) + +# Get 2D mesh in (kx, ky) +KX, KY = np.meshgrid(kx, ky, indexing="ij") +K2 = KX**2 + KY**2 +K2[0, 0] = 1e-5 + +# Generate phi data by solving the PDE and plot results +phi = np.real(np.fft.ifft2(-np.fft.fft2(rho) / K2)) +plt.subplot(1, 5, 2) +plt.imshow(phi, aspect="auto", origin="lower") +plt.title(r"$\phi(x, y)$") +plt.colorbar() + +# Make del^2 phi and plot various quantities +phi_xx = ps.FiniteDifference(d=2, axis=0)._differentiate(phi, dx) +phi_yy = ps.FiniteDifference(d=2, axis=1)._differentiate(phi, dy) +plt.subplot(1, 5, 3) +plt.imshow(phi_xx, aspect="auto", origin="lower") +plt.title(r"$\phi_{xx}(x, y)$") +plt.subplot(1, 5, 4) +plt.imshow(phi_yy, aspect="auto", origin="lower") +plt.title(r"$\phi_{yy}(x, y)$") +plt.subplot(1, 5, 5) +plt.imshow( + phi_xx + phi_yy + abs(np.min(phi_xx + phi_yy)), + aspect="auto", + origin="lower", +) +plt.title(r"$\phi_{xx}(x, y) + \phi_{yy}(x, y)$") +plt.colorbar() + +# Define a PolynomialLibrary, FourierLibrary, and PDELibrary +poly_library = ps.PolynomialLibrary(include_bias=False) +fourier_library = ps.FourierLibrary() +X_mesh, Y_mesh = np.meshgrid(x, y) +pde_library = ps.PDELibrary( + function_library=ps.CustomLibrary(library_functions=[], function_names=[]), + derivative_order=1, + spatial_grid=np.asarray([X_mesh, Y_mesh]).T, +) + +# Inputs are going to be all the variables [phi, X, Y]. +# Remember we can use a subset of these input variables to generate each library +data = np.transpose(np.asarray([phi, X, Y]), [1, 2, 0]) + +# The 'x_dot' terms will be [phi_xx, X, Y] +# Remember these are the things that are being fit in the SINDy regression +Laplacian_phi = phi_xx + phi_yy + abs(np.min(phi_xx + phi_yy)) +data_dot = np.transpose(np.asarray([Laplacian_phi, X, Y]), [1, 2, 0]) + +# Tensor polynomial library with the PDE library +tensor_array = [[1, 0, 1]] + +# Remove X and Y from PDE library terms because why would we take these derivatives +inputs_per_library = [(0, 1, 2), (0, 1, 2), (0,)] + +# Fit a generalized library of 3 feature libraries + 1 internally +# generated tensored library and only use the input variable phi +# for the PDELibrary. Note that this holds true both for the +# individual PDELibrary and any tensored libraries constructed from it. +generalized_library = ps.GeneralizedLibrary( + [poly_library, fourier_library, pde_library], + tensor_array=tensor_array, + inputs_per_library=inputs_per_library, +) +optimizer = ps.STLSQ(threshold=8, alpha=1e-3, normalize_columns=True) +model = ps.SINDy(feature_library=generalized_library, optimizer=optimizer) +model.fit(data, x_dot=data_dot) + +# Note scale of phi is large so some coefficients >> 1 +# --> would want to rescale phi with eps_0 for a harder problem +model.print() + + +# In[72]: + + +# Get prediction of rho and plot results +# predict expects a time axis...so add one and ignore it... +data_shaped = data.reshape((data.shape[0], data.shape[1], 1, data.shape[2])) +rho_pred = model.predict(data_shaped)[:, :, 0, :] +if __name__ != "testing": + plt.figure(figsize=(16, 4)) + plt.subplot(1, 3, 1) + plt.title(r"True $\rho$") + plt.imshow(rho, aspect="auto", origin="lower") + plt.colorbar() + plt.subplot(1, 3, 2) + plt.title(r"Predicted $\rho_p$") + plt.imshow(rho_pred[:, :, 0], aspect="auto", origin="lower") + plt.colorbar() + plt.subplot(1, 3, 3) + plt.title(r"Residual errors $\rho - \rho_p$") + plt.imshow(rho - rho_pred[:, :, 0], aspect="auto", origin="lower") + plt.colorbar() + print("Feature names:\n", model.get_feature_names()) + + +# In[ ]: diff --git a/examples/2_introduction_to_sindy/example.ipynb b/examples/2_introduction_to_sindy/example.ipynb index f27a62dfb..5f8b2b661 100644 --- a/examples/2_introduction_to_sindy/example.ipynb +++ b/examples/2_introduction_to_sindy/example.ipynb @@ -2,7 +2,6 @@ "cells": [ { "cell_type": "markdown", - "id": "97dfc2b6", "metadata": { "lines_to_next_cell": 0 }, @@ -13,17 +12,15 @@ }, { "cell_type": "markdown", - "id": "827fcf3f", "metadata": { "lines_to_next_cell": 0 }, "source": [ - "[![Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/dynamicslab/pysindy/v1.7?filepath=examples/2_introduction_to_sindy.ipynb)" + "[![Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/dynamicslab/pysindy/v1.7.3?filepath=examples/2_introduction_to_sindy/example.ipynb)" ] }, { "cell_type": "markdown", - "id": "a164fa66", "metadata": { "lines_to_next_cell": 0 }, @@ -50,7 +47,6 @@ }, { "cell_type": "markdown", - "id": "13685931", "metadata": { "lines_to_next_cell": 0 }, @@ -113,7 +109,6 @@ }, { "cell_type": "markdown", - "id": "b015fa9b", "metadata": { "lines_to_next_cell": 0 }, @@ -134,7 +129,6 @@ }, { "cell_type": "markdown", - "id": "9c6295a4", "metadata": { "lines_to_next_cell": 0 }, @@ -157,7 +151,6 @@ { "cell_type": "code", "execution_count": 1, - "id": "760c027c", "metadata": { "execution": { "iopub.execute_input": "2022-07-06T00:43:54.334793Z", @@ -184,7 +177,6 @@ { "cell_type": "code", "execution_count": 2, - "id": "72256309", "metadata": { "execution": { "iopub.execute_input": "2022-07-06T00:43:54.847201Z", @@ -201,7 +193,6 @@ }, { "cell_type": "markdown", - "id": "6906c2ef", "metadata": {}, "source": [ "We can select a differentiation method from the `differentiation` submodule." @@ -210,7 +201,6 @@ { "cell_type": "code", "execution_count": 3, - "id": "ee86b513", "metadata": { "execution": { "iopub.execute_input": "2022-07-06T00:43:54.854815Z", @@ -228,7 +218,6 @@ }, { "cell_type": "markdown", - "id": "df8b6bd3", "metadata": {}, "source": [ "While we could use this method to compute $\\dot X$ \"by hand,\" it is often more convenient to pass it into the `SINDy` object and let the computation of $\\dot X$ be handled automatically.\n", @@ -239,7 +228,6 @@ { "cell_type": "code", "execution_count": 4, - "id": "1b485201", "metadata": { "execution": { "iopub.execute_input": "2022-07-06T00:43:54.861660Z", @@ -257,7 +245,6 @@ }, { "cell_type": "markdown", - "id": "97263ee3", "metadata": {}, "source": [ "Next we select which optimizer should be used." @@ -266,7 +253,6 @@ { "cell_type": "code", "execution_count": 5, - "id": "5617fad5", "metadata": { "execution": { "iopub.execute_input": "2022-07-06T00:43:54.868326Z", @@ -284,7 +270,6 @@ }, { "cell_type": "markdown", - "id": "949d0ec9", "metadata": {}, "source": [ "Finally, we bring these three components together in one `SINDy` object." @@ -293,7 +278,6 @@ { "cell_type": "code", "execution_count": 6, - "id": "0e1555fc", "metadata": { "execution": { "iopub.execute_input": "2022-07-06T00:43:54.875960Z", @@ -314,7 +298,6 @@ }, { "cell_type": "markdown", - "id": "72948949", "metadata": {}, "source": [ "Following the `scikit-learn` workflow, we first instantiate a `SINDy` class object with the desired properties, then fit it to the data in separate step." @@ -323,7 +306,6 @@ { "cell_type": "code", "execution_count": 7, - "id": "fb828425", "metadata": { "execution": { "iopub.execute_input": "2022-07-06T00:43:54.882681Z", @@ -352,7 +334,6 @@ }, { "cell_type": "markdown", - "id": "b319c4f7", "metadata": {}, "source": [ "We can inspect the governing equations discovered by the model and check whether they seem reasonable with the `print` function." @@ -361,7 +342,6 @@ { "cell_type": "code", "execution_count": 8, - "id": "54b7321f", "metadata": { "execution": { "iopub.execute_input": "2022-07-06T00:43:54.908324Z", @@ -386,7 +366,6 @@ }, { "cell_type": "markdown", - "id": "fc2df88d", "metadata": {}, "source": [ "Once the SINDy model has been fit we can use it to evolve new initial conditions forward in time with the `simulate` function." @@ -395,7 +374,6 @@ { "cell_type": "code", "execution_count": 9, - "id": "08129225", "metadata": { "execution": { "iopub.execute_input": "2022-07-06T00:43:54.916864Z", @@ -413,7 +391,6 @@ { "cell_type": "code", "execution_count": 10, - "id": "0a8e1bc6", "metadata": { "execution": { "iopub.execute_input": "2022-07-06T00:43:55.002231Z", @@ -452,7 +429,6 @@ }, { "cell_type": "markdown", - "id": "1d7adea2", "metadata": {}, "source": [ "Note that if the library we had chosen had been inappropriate for the problem at hand (i.e. if the dynamics could not be well-approximated as a sparse linear combination of library functions), then SINDy would have failed to produce a reasonable model. For example, if we solve the same problem, but using sines and cosines as our basis functions, SINDy is unable to find a sparse model for the dynamics:" @@ -461,7 +437,6 @@ { "cell_type": "code", "execution_count": 11, - "id": "a68446f0", "metadata": { "execution": { "iopub.execute_input": "2022-07-06T00:43:55.722229Z", @@ -499,14 +474,10 @@ "jupytext": { "cell_metadata_filter": "-all", "main_language": "python", - "notebook_metadata_filter": "-all", - "text_representation": { - "extension": ".py", - "format_name": "percent" - } + "notebook_metadata_filter": "-all" }, "kernelspec": { - "display_name": "Python 3 (ipykernel)", + "display_name": "Python 3", "language": "python", "name": "python3" }, @@ -520,7 +491,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.9.12" + "version": "3.7.4" } }, "nbformat": 4, diff --git a/examples/3_original_paper.ipynb b/examples/3_original_paper.ipynb index 35a52dde9..d1e6922a2 100644 --- a/examples/3_original_paper.ipynb +++ b/examples/3_original_paper.ipynb @@ -13,7 +13,7 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "[![Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/dynamicslab/pysindy/v1.7?filepath=examples/3_original_paper.ipynb)" + "[![Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/dynamicslab/pysindy/v1.7.3?filepath=examples/3_original_paper.ipynb)" ] }, { diff --git a/examples/4_scikit_learn_compatibility.ipynb b/examples/4_scikit_learn_compatibility.ipynb index 896a0ef63..1200f7eb3 100644 --- a/examples/4_scikit_learn_compatibility.ipynb +++ b/examples/4_scikit_learn_compatibility.ipynb @@ -12,7 +12,7 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "[![Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/dynamicslab/pysindy/v1.7?filepath=examples/4_scikit_learn_compatibility.ipynb)" + "[![Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/dynamicslab/pysindy/v1.7.3?filepath=examples/4_scikit_learn_compatibility.ipynb)" ] }, { diff --git a/examples/5_differentiation/example.ipynb b/examples/5_differentiation/example.ipynb index a1f1a3430..6ab030fb4 100644 --- a/examples/5_differentiation/example.ipynb +++ b/examples/5_differentiation/example.ipynb @@ -1,45 +1,30 @@ { "cells": [ { + "attachments": {}, "cell_type": "markdown", - "id": "4f564d16", + "id": "ebb914a6", "metadata": { "lines_to_next_cell": 0 }, "source": [ - "# Differentiators in PySINDy\n", + "Differentiators in PySINDy\n", "\n", - "This notebook explores the differentiation methods available in PySINDy. Most of the methods are powered by the [derivative](https://pypi.org/project/derivative/) package. While this notebook explores these methods on temporal data, these apply equally well to the computation of spatial derivatives for SINDy for PDE identification (see example Jupyter notebooks 10 and 12, on PDEs and weak forms)." - ] - }, - { - "cell_type": "markdown", - "id": "96350665", - "metadata": { - "lines_to_next_cell": 0 - }, - "source": [ + "This notebook explores the differentiation methods available in PySINDy. Most of the methods are powered by the [derivative](https://pypi.org/project/derivative/) package. While this notebook explores these methods on temporal data, these apply equally well to the computation of spatial derivatives for SINDy for PDE identification (see example Jupyter notebooks 10 and 12, on PDEs and weak forms).\n", "[![Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/dynamicslab/pysindy/v1.7?filepath=examples/5_differentiation.ipynb)" ] }, { "cell_type": "code", - "execution_count": 1, - "id": "5960f6ac", - "metadata": { - "execution": { - "iopub.execute_input": "2022-07-06T23:09:29.880939Z", - "iopub.status.busy": "2022-07-06T23:09:29.880342Z", - "iopub.status.idle": "2022-07-06T23:09:31.307218Z", - "shell.execute_reply": "2022-07-06T23:09:31.305943Z" - }, - "lines_to_next_cell": 2 - }, + "execution_count": 2, + "id": "e594eade", + "metadata": {}, "outputs": [], "source": [ "import warnings\n", "\n", "import matplotlib.pyplot as plt\n", + "\n", "plt.ion()\n", "import numpy as np\n", "\n", @@ -54,11 +39,11 @@ "integrator_keywords[\"atol\"] = 1e-12\n", "\n", "from utils import (\n", - " plot_kws,\n", - " pal,\n", " compare_methods,\n", " print_equations,\n", " compare_coefficient_plots,\n", + " plot_sho,\n", + " plot_lorenz,\n", ")\n", "\n", "if __name__ != \"testing\":\n", @@ -78,12 +63,13 @@ " gen_data_lorenz,\n", " n_spectral,\n", " fd_order,\n", - " )" + " )\n" ] }, { + "attachments": {}, "cell_type": "markdown", - "id": "de5c5248", + "id": "a46d1cac", "metadata": {}, "source": [ "In the cell below we define all the available differentiators. Note that the different options in `SINDyDerivative` all originate from `derivative`.\n", @@ -99,18 +85,13 @@ }, { "cell_type": "code", - "execution_count": 2, - "id": "95c0e048", - "metadata": { - "execution": { - "iopub.execute_input": "2022-07-06T23:09:31.312738Z", - "iopub.status.busy": "2022-07-06T23:09:31.312428Z", - "iopub.status.idle": "2022-07-06T23:09:31.318358Z", - "shell.execute_reply": "2022-07-06T23:09:31.317449Z" - } - }, + "execution_count": 3, + "id": "5cf7e864", + "metadata": {}, "outputs": [], "source": [ + "\n", + "\n", "diffs = [\n", " (\"PySINDy Finite Difference\", ps.FiniteDifference()),\n", " (\"Finite Difference\", ps.SINDyDerivative(kind=\"finite_difference\", k=1)),\n", @@ -123,12 +104,16 @@ " (\"Trend Filtered\", ps.SINDyDerivative(kind=\"trend_filtered\", order=0, alpha=1e-2)),\n", " (\"Spectral\", ps.SINDyDerivative(kind=\"spectral\")),\n", " (\"Spectral, PySINDy version\", ps.SpectralDerivative()),\n", - "]" + " (\"Kalman\", ps.SINDyDerivative(kind=\"kalman\", alpha=0.05)),\n", + "]\n", + "\n", + "\n" ] }, { + "attachments": {}, "cell_type": "markdown", - "id": "9fe16724", + "id": "a562a7e5", "metadata": {}, "source": [ "## Compare differentiation methods directly\n", @@ -137,45 +122,28 @@ }, { "cell_type": "code", - "execution_count": 3, - "id": "67417a70", - "metadata": { - "execution": { - "iopub.execute_input": "2022-07-06T23:09:31.323195Z", - "iopub.status.busy": "2022-07-06T23:09:31.322776Z", - "iopub.status.idle": "2022-07-06T23:09:31.326658Z", - "shell.execute_reply": "2022-07-06T23:09:31.325747Z" - } - }, - "outputs": [], - "source": [ - "noise_level = 0.01" - ] - }, - { - "cell_type": "markdown", - "id": "d6ea4986", + "execution_count": 4, + "id": "98524f44", "metadata": {}, + "outputs": [], "source": [ - "### Sine" + "\n", + "\n", + "noise_level = 0.01\n", + "\n", + "\n", + "# ### Sine" ] }, { "cell_type": "code", - "execution_count": 4, - "id": "50cc34fb", - "metadata": { - "execution": { - "iopub.execute_input": "2022-07-06T23:09:31.330293Z", - "iopub.status.busy": "2022-07-06T23:09:31.330008Z", - "iopub.status.idle": "2022-07-06T23:09:32.316519Z", - "shell.execute_reply": "2022-07-06T23:09:32.315303Z" - } - }, + "execution_count": 5, + "id": "182a5688", + "metadata": {}, "outputs": [ { "data": { - "image/png": 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\n", + "image/png": 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", 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" ] @@ -187,36 +155,26 @@ } ], "source": [ + "\n", + "\n", "# True data\n", "x, y, y_noisy, y_dot = gen_data_sine(noise_level)\n", "axs = compare_methods(diffs, x, y, y_noisy, y_dot)\n", - "plt.show()" - ] - }, - { - "cell_type": "markdown", - "id": "ce89e215", - "metadata": {}, - "source": [ - "### Absolute value" + "plt.show()\n", + "\n", + "\n", + "# ### Absolute value" ] }, { "cell_type": "code", - "execution_count": 5, - "id": "0839ce75", - "metadata": { - "execution": { - "iopub.execute_input": "2022-07-06T23:09:32.321402Z", - "iopub.status.busy": "2022-07-06T23:09:32.321185Z", - "iopub.status.idle": "2022-07-06T23:09:33.386267Z", - "shell.execute_reply": "2022-07-06T23:09:33.384935Z" - } - }, + "execution_count": 6, + "id": "457c4469", + "metadata": {}, "outputs": [ { "data": { - "image/png": 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\n", 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", 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" ] @@ -228,67 +186,61 @@ } ], "source": [ + "\n", + "\n", "# Shrink window for Savitzky Golay method\n", "diffs[3] = (\n", " \"Savitzky Golay\",\n", " ps.SINDyDerivative(kind=\"savitzky_golay\", left=0.1, right=0.1, order=3),\n", ")\n", + "diffs[8] = (\"Kalman\", ps.SINDyDerivative(kind=\"kalman\", alpha=0.01))\n", "\n", "x, y, y_dot, y_noisy = gen_data_step(noise_level)\n", "\n", "axs = compare_methods(diffs, x, y, y_noisy, y_dot)\n", - "plt.show()" + "plt.show()\n", + "\n", + "\n" ] }, { + "attachments": {}, "cell_type": "markdown", - "id": "06599fbb", + "id": "425f940f", "metadata": {}, "source": [ "## Compare differentiators when used in PySINDy\n", - "We got some idea of the performance of the differentiation options applied to raw data. Next we'll look at how they work as a single component of the SINDy algorithm." - ] - }, - { - "cell_type": "markdown", - "id": "3a8b25c8", - "metadata": {}, - "source": [ + "We got some idea of the performance of the differentiation options applied to raw data. Next we'll look at how they work as a single component of the SINDy algorithm.\n", + "\n", "### Linear oscillator\n", - "$$ \\frac{d}{dt} \\begin{bmatrix}x \\\\ y\\end{bmatrix} = \\begin{bmatrix} -0.1 & 2 \\\\ -2 & -0.1 \\end{bmatrix} \\begin{bmatrix}x \\\\ y\\end{bmatrix} $$" + "$$ \\frac{d}{dt} \\begin{bmatrix}x \\\\ y\\end{bmatrix} = \\begin{bmatrix} -0.1 & 2 \\\\ -2 & -0.1 \\end{bmatrix} \\begin{bmatrix}x \\\\ y\\end{bmatrix} $$\n", + "\n", + "+\n" ] }, { "cell_type": "code", - "execution_count": 6, - "id": "f38fd27a", + "execution_count": 7, + "id": "1a747b08", "metadata": { - "execution": { - "iopub.execute_input": "2022-07-06T23:09:33.395957Z", - "iopub.status.busy": "2022-07-06T23:09:33.395672Z", - "iopub.status.idle": "2022-07-06T23:09:33.401695Z", - "shell.execute_reply": "2022-07-06T23:09:33.400708Z" - } + "lines_to_next_cell": 2 }, "outputs": [], "source": [ + "\n", + "\n", "noise_level = 0.1" ] }, { "cell_type": "code", - "execution_count": 7, - "id": "aaa58912", - "metadata": { - "execution": { - "iopub.execute_input": "2022-07-06T23:09:33.404670Z", - "iopub.status.busy": "2022-07-06T23:09:33.404454Z", - "iopub.status.idle": "2022-07-06T23:09:33.430406Z", - "shell.execute_reply": "2022-07-06T23:09:33.429484Z" - } - }, + "execution_count": 8, + "id": "2840e73f", + "metadata": {}, "outputs": [], "source": [ + "\n", + "\n", "# Generate training data\n", "\n", "dt, t_train, x_train, x_train_noisy = gen_data_sho(noise_level, integrator_keywords)" @@ -296,20 +248,15 @@ }, { "cell_type": "code", - "execution_count": 8, - "id": "9b848c29", + "execution_count": 9, + "id": "716cf784", "metadata": { - "execution": { - "iopub.execute_input": "2022-07-06T23:09:33.434079Z", - "iopub.status.busy": "2022-07-06T23:09:33.433770Z", - "iopub.status.idle": "2022-07-06T23:09:33.700691Z", - "shell.execute_reply": "2022-07-06T23:09:33.699518Z" - } + "lines_to_next_cell": 2 }, "outputs": [ { "data": { - "image/png": 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\n", 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", "text/plain": [ "
" ] @@ -321,42 +268,22 @@ } ], "source": [ - "fig, ax = plt.subplots(1, 1, figsize=(5, 5))\n", - "\n", - "ax.plot(x_train[:, 0], x_train[:, 1], \".\", label=\"Clean\", color=pal[0], **plot_kws)\n", - "ax.plot(\n", - " x_train_noisy[:, 0],\n", - " x_train_noisy[:, 1],\n", - " \".\",\n", - " label=\"Noisy\",\n", - " color=pal[1],\n", - " **plot_kws\n", - ")\n", + "figure = plt.figure(figsize=[5, 5])\n", + "plot_sho(x_train, x_train_noisy)\n", "\n", - "ax.set(title=\"Training data\", xlabel=\"$x_0$\", ylabel=\"$x_1$\")\n", - "ax.legend()\n", - "plt.show()" - ] - }, - { - "cell_type": "code", - "execution_count": 9, - "id": "f9d57bfa", - "metadata": { - "execution": { - "iopub.execute_input": "2022-07-06T23:09:33.706134Z", - "iopub.status.busy": "2022-07-06T23:09:33.705806Z", - "iopub.status.idle": "2022-07-06T23:09:38.674620Z", - "shell.execute_reply": "2022-07-06T23:09:38.672267Z" - } - }, - "outputs": [], - "source": [ "# Allow Trend Filtered method to work with linear functions\n", "diffs[5] = (\n", " \"Trend Filtered\",\n", " ps.SINDyDerivative(kind=\"trend_filtered\", order=1, alpha=1e-2),\n", ")\n", + "diffs[8] = (\"Kalman\", ps.SINDyDerivative(kind=\"kalman\", alpha=0.5))\n", + "diffs.append((\"Smooth FD, reuse old x\", ps.SmoothedFiniteDifference(save_smooth=False)))\n", + "diffs.append(\n", + " (\n", + " \"Kalman, reuse old x\",\n", + " ps.SINDyDerivative(kind=\"kalman\", alpha=0.5, save_smooth=False),\n", + " )\n", + ")\n", "\n", "equations_clean = {}\n", "equations_noisy = {}\n", @@ -385,14 +312,9 @@ { "cell_type": "code", "execution_count": 10, - "id": "7fe931df", + "id": "df54c95c", "metadata": { - "execution": { - "iopub.execute_input": "2022-07-06T23:09:38.684121Z", - "iopub.status.busy": "2022-07-06T23:09:38.683272Z", - "iopub.status.idle": "2022-07-06T23:09:38.695906Z", - "shell.execute_reply": "2022-07-06T23:09:38.694023Z" - } + "lines_to_next_cell": 2 }, "outputs": [ { @@ -409,8 +331,8 @@ " x1=-1.994 x x1=-2.042 x \n", "-------------------------------------------------------------------------------------------\n", "Smoothed Finite Difference \n", - " x0=2.006 y x0=1.996 y \n", - " x1=-1.994 x x1=-2.020 x \n", + " x0=2.006 y x0=2.010 y \n", + " x1=-1.994 x x1=-2.034 x \n", "-------------------------------------------------------------------------------------------\n", "Savitzky Golay \n", " x0=2.006 y x0=1.988 y \n", @@ -431,32 +353,41 @@ "Spectral, PySINDy version \n", " x0=1.941 y x0=1.958 y \n", " x1=-1.902 x x1=-1.920 x \n", + "-------------------------------------------------------------------------------------------\n", + "Kalman \n", + " x0=2.003 y x0=2.003 y \n", + " x1=-1.988 x x1=-1.995 x \n", + "-------------------------------------------------------------------------------------------\n", + "Smooth FD, reuse old x \n", + " x0=2.006 y x0=1.996 y \n", + " x1=-1.994 x x1=-2.020 x \n", + "-------------------------------------------------------------------------------------------\n", + "Kalman, reuse old x \n", + " x0=2.032 y x0=2.008 y \n", + " x1=-2.015 x x1=-1.998 x \n", "-------------------------------------------------------------------------------------------\n" ] } ], "source": [ + "\n", + "\n", "print_equations(equations_clean, equations_noisy)" ] }, { "cell_type": "code", "execution_count": 11, - "id": "7a807897", + "id": "a7efb355", "metadata": { - "execution": { - "iopub.execute_input": "2022-07-06T23:09:38.702986Z", - "iopub.status.busy": "2022-07-06T23:09:38.702250Z", - "iopub.status.idle": "2022-07-06T23:09:41.034989Z", - "shell.execute_reply": "2022-07-06T23:09:41.033800Z" - } + "lines_to_next_cell": 2 }, "outputs": [ { "data": { - "image/png": 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\n", 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"text/plain": [ - "
" + "
" ] }, "metadata": {}, @@ -464,6 +395,8 @@ } ], "source": [ + "\n", + "\n", "feature_names = model.get_feature_names()\n", "compare_coefficient_plots(\n", " coefficients_clean,\n", @@ -476,7 +409,59 @@ }, { "cell_type": "markdown", - "id": "62386501", + "id": "3e2b29a0", + "metadata": { + "lines_to_next_cell": 0 + }, + "source": [ + "\n", + "We can take a look at the smoothed values of x that some differentiation\n", + "methods implicitly calculate:" + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "id": "f9a15ac6", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "Text(0.5, 1.0, 'Kalman smoothed')" + ] + }, + "execution_count": 12, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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R+Xxrpp7bsnRhD5b33gVclNExX6b8UFp/e+Y+n4TVU/kk8NfMuhr6PVMy+05njlsF/hXYC4jM+lF7Ztl/R9bfYW/AYTtwy1h4EGjM3HjPAmWDlL0KeC/r+wrg05nPFwI7stYtZRjGNvANrIe9J6vsO8A/sUTOmVX2t8D3Mp9nYBlLrkHq/Rbwdr9ljUAAS/QmZG5Wg8wLQ6bM/wAPZj5/h8GNoPzMDZ6XdRx/z3wuxBK/cYNs26fe/ueHoY3t04A9/eq7F/hzVt3LstaVYRmonqxlN/CRsfU68PmsdRcNJVz9flcVSAHTs9Z/DliadVx7Bqonq7wHy3u6Fkt86+j70iKBM7O+rwW+kfX9//joBfBPwI+y1vkyddZgGdnv9tv3KuDW/sfVb99nZX1/FPhm5vNLZB40me9K5jefgGXUvp21TmBde0MZ2ymsa7Pnr2KwdmWWPwL8YZD6Hsxeh/Wysznr+ywgMILraSBj+1tZ378AvJz5/B/Ao/3OSxOWgXAOWQ/UzPqV2Ma2/XeE/mEZzCEsI1PZT9mr6Pt8rKevsf1a1rorgAigZr77M3qTP0jdTwP/L/N5IRCnr/HaRsbR1W+7nIyefIJ+zg4sfd6e9X1Wpg1lWcs6sZxQ+9P6JcAXstZNxdJejcGN7bqs795MmXJG+Zll/x1Zf8drGAlSys1SylullFXATKACy2uLEKJMCPFIphsnBPwNy2vXw8NYNwHAjZnvwybTbfT/gKuklPGsVbVYnsPvSilTWcv/AtyY6cr/FNZDPSmsbB49ISkvZcp2Yr3FZx9rVab9LiwDqALoklKGs4rtxort7t9WVQjxAyHEjsy5qM+s6jkffwOuEELkANcCy6WUzSM5H8NkAlCR6fYLCCECWMZqWVaZhn7lHUBzVvnfY3kLwDoH2eV3j6AtxZm6s7fpf/4aGAJphfd8X0o5Dyuu/lHgMSFEYVax1qzP8QG++zKfK7LbIqWMYF0Hlf3XDdLWgWjJ+hzL2tcE4OdZ57QL65rq2VfvcUvriTDkecC6lvOz/vbup3xlZp+DMdxzNpzraSAGOy/9fwMT69h7zktT5nz0MJLrzcbmcPCvWD02f8w8e4BhPR/70/8e7JBSGlnfIXMfCSEuFUK8LaxwuACW9zq77k7Zd8xP9j3Yi5QyClyH5Q1uFkK8IISYNkSbkFIOpBX70/r++roby9AeSkd6NURKGct89DG2zyybw8xxa2xnI6XcguUVm5lZ9H2sN8ZZUspc4Gb6xp4+BiwUQlQBVzO4sS37LxBCTMUynq+VUvY3RDZjdW29lCnX0763sd6uz8Yy7v+aWf53+dHAsp64r9eBKiHEKUMc8l6gUAjhz1pWjeWJ68+NWC8AF2CFL9T0HEqmDU1YntJ/wXoR+OsQ+x0J/c9dA1Z3Y7Zh5pdSXjbINg1YXoLirPK5UsoZmfXNWB7+HqpH0LYOLO/FhH7bZ5+/fX77wZBShrCuuRxg4gja0cPe7LZkXnyKMu3ps26Atg67nRkasLo1s38Hj7TiOfuc08wDevxgFY0UIcR4rBCR5aNQ3f6up5Gel/6/Qc+xN2Gdl8psg4WRXW82NoeDVmAR1nPnN1nL9/d8PCCElWnoCeDHWF7mfODFA61bSvmKlPJCLOfTFqzwzJGyP63vr6/VWD3lrRyYto7VM8vmMHNcGttCiGmZQRZVme/jsTzVb2eK+LG6uoJCiErg69nbSynbsbqU/4z1wN48yK5asQxfZ2Y/uVjdcv+flHLAlIBSyn9gedgWCyEmZ616CPgVkB5s28z2W7Hehh8R1mA1T2aAxYKsMg1Y3dj/I4RwCyFmA5/B8lD0x48lAJ1YXV7fH6DMQ1gxqrOwYtZGg1asOLge3gXCwhqg6sl43GeKQdI1ZrzrrwL/J4TIzQxkmSw+Sl31KPBlIUSVEKIAGHbavYxX5lHge0IIv7AGCH6Fgc/fgAgh/kNYA0ydQgg3Vk9HANg63Dqy+AdwmxDipMwD6/vAO1LKeqyH1RQhxI1CCE0IcR0wHSsmG/Y9z/vjd8C94qNBsnlCiGsy614AZghrkKwGfBmre/SgEEJ4M7/bM1jXwYsHWyf7v55agRqRGQg1DB4FLhdCLBJCOLCypySx7rNVWA/gLwshHEKIfwFOHYVjsLEZUzI9TYuAS4QQP80sHvL5eBA4sXpf2wE90wM8YGrY/ZHxvl+ZcTwkM+01R1rPMLT+H8DdQoiJQggflvb+M+N9b8/sc1j6OpbPLJvDz3FpbGMNfjgNeEcIEcUysjdiPSDBSgM4FwhiGRADGZAPY3l7hwoheR1rEFyLEKJnANtU4KdZ4R+R/htJK0/3fwGvCyFqMov/iuV5H45B90Ws9H8/wepybwT+G6tbbU+mzA1YXuq9WIMyvi2lXDxAXQ9hdVc1YQ3Ke3uAMk9hvd0/ldUtdrD8CZie6U57OiN6H8OKo9uF5XH4I5a3fTA+jSXgH2LFuT/ORyE2PYNQNwDrGPlLwpewBsTtxIrhfxh4YATbS6yXtQ6s3+BCrNRa+1wP+63I+t3+A8sr1Iw1wOj6zLpOrPP2VawXpnuAj0kpOzKb/xz4pLBGxu83f7iU8ingh1gvcyGs++bSzLoO4BrgB5l9nQC8NdLjyeJXQogwluH7s8zxXZIJ0TgohnE9PZb5v1MIsW4Y9W3F8vD9MlPXFcAVUspUJiTsX7DiNbuw7sPReim1sRlTpJR7sAZhf1II8T8M7/l4IPsJY72gP4ql1zdijaU6EBQso3gv1j13LlZYzIEwlNY/gPVsXoalI4lM+Z4Qke8Bb2WeY6cPY19j+cyyOYz0jIC1OcIRQniwBoPMlVJuP9zt6Y8QYgdWeMFABruNjY2NjY2NzXHJ8erZPhr5V2D1EWpofwLLU/v64W6LjY2NjY2Njc2RhD2N6FGAEKIea5DIVYe3JfsihFiKFQP8qdHo3rexsbGxsbGxOZaww0hsbGxsbGxsbGxsxgg7jMTGxsbGxsbGxsZmjDhmw0iKi4tlTU3N4W6GjY2NzQGxdu3aDillyeFux6HE1m0bG5ujlaE0+5g1tmtqalizZs3hboaNjY3NASGEOO5miLN128bG5mhlKM22w0hsbGxsbGxsbGxsxgjb2LaxsbGxsbGxsbEZI2xj28bGxsbGxsbGxmaMOGZjtm1sbEaXdDpNY2MjiUTicDflmMLtdlNVVYXD4TjcTbGxsTmGsDV7bDgQzbaNbRsbm2HR2NiI3++npqYGIcThbs4xgZSSzs5OGhsbmThx4uFujo2NzTGErdmjz4Fqth1GYmNjMywSiQRFRUW2aI8iQgiKiopsz5ONjc2oY2v26HOgmm0b2zY2NsPGFu3Rxz6nNjY2Y4WtL6PPgZxT29i2sbGxsbGxsbGxGSNsY9vGxuaooqWlheuvv57Jkyczb948LrvsMrZt28bMmTMPd9NsbGxsbPpha7Y9QNLG5pBS3x5hR1uEyaU+akp8h7s5Rx1SSq6++mpuueUWHnnkEQA2bNhAa2vrYW6ZjY3NsYat1wePrdkWtmfbxuYQUd8e4b+f2shflu/kv5/aSH175HA3acxJ19URf+550nV1o1LfG2+8gcPh4POf/3zvsjlz5jB+/Pje74Zh8PWvf5358+cze/Zsfv/73wMQiURYtGgRc+fOZdasWTzzzDMA1NfXc+KJJ3LHHXcwY8YMLrroIuLx+Ki018bG5ujkeNRrsDV7rLCNbZs+1LdHWLKp5bgRlkPJjrYIadOkxO9GN012tB3b5zhdV0f33V8h9Ktf0333V0ZFvDdu3Mi8efOGLPOnP/2JvLw8Vq9ezerVq/nDH/7Arl27cLvdPPXUU6xbt4433niDr371q0gpAdi+fTtf/OIX2bRpE/n5+TzxxBMH3VYbm0OBrdljw/Gm12Br9lhih5HY9NLzJp82TRyKwn9cPdPuOhtFJpf6cCgKHeEEmqIwufTYPrf65i3IVBqtvBy9tQV98xYctbVjvt9XX32V999/n8cffxyAYDDI9u3bqaqq4t///d9ZtmwZiqLQ1NTU25U5ceJETjrpJADmzZtHfX39mLfTxuZgsTV77Dje9BpszR5LbGPbppfsN/mOcIIdbZEjXrj3F1N3JMXc1ZT4+I+rZ7KjLYLbofR6Sg53u8YK7cRpCKcDvbUF4XCgnTjtoOucMWNGryAPhpSSX/7yl1x88cV9lj/44IO0t7ezdu1aHA4HNTU1vblSXS5XbzlVVY/4LkkbGzj6NPto1Ou36zoOazsOJbZmjx12GIlNL0fbm/z+YuqOxJi7mhIfk0t9PLB05xHVrrHAUVtLwU9/Qu4Xv0jBT38yKh6S888/n2Qyyf3339+77P3336ehoaH3+8UXX8xvf/tb0uk0ANu2bSMajRIMBiktLcXhcPDGG2+we/fug26Pjc3h5GjS7KNRrwFe+6CFFzfsPaLaNFbYmj122J5tm16yPa9Hgmdhf+zPq3Oken2O1HaNBY7a2lHthhRC8NRTT3HXXXfxwx/+ELfbTU1NDT/72c96y3z2s5+lvr6euXPnIqWkpKSEp59+mptuuokrrriCWbNmccoppzBt2sF7bWxsDidHk2YfjXp9JLZprLE1e2ywjW2bPtSUHNmCDR91NbodypBendH0+mTvM5E2D+rBdjR5o45EKioqePTRR/dZvnHjRgAUReH73/8+3//+9/cps2rVqgHr7NkW4Gtf+9ootdTGZuw50jX7aNZrW6tHB1uzbWPb5ghhuLF6/QcE3b5w0qBiOlpen559RpM6rcEEZfkucpyOAx6MNJx2HUmxizY2NjbZHC96bWu1zWhhG9s2h52RjKjv362XSJssmlE+aN2j4fXp2afLoWJKiUvTelNBHWjdQ7Wrvj3Ctx7bQDRpkONSue+aObaI29jYHBGMtl43hhuoD9XjVt0kjARTq2uAblY0vde7bLD/a3JrrDZlbb+lKU7U0YDQHChmGOH1ExNpFu8KMS3loSa3hir/+H3aOhi2VtuMBraxbXPYGUlc3IF26/X3PozEG9Gzz1hSRxGCpK6T43SMuEux56GyP7F/u66Dxs4YqirojkjeruuwBdzGxuaI4ED1GkcXISXKmpaGXoO5KdLEkj2L0U2djng7xZ4SNEUlpZvE02miRhcF7gK6E924lVwSZogCdwHBZKC3LIje7fNc+XQnutF9Hkw1itvrJeqMoRg5vNwSZ12oFK/Dy/VTbxjUeB+JIW5rtc1wsY1tm8POSAzo/XXrNYYb2LHtbSqbElTmVEIsxh48/GBzCh0FDZPbTq3gwQ+6SUfjaJrKN6tTVBd5IRYDb9//tROnUQnck9/BTtONOz9BwgGTlCBl779LPFOmZ0BJtkEN9Pn8s3U/RTd1NEXjrrl3U+UfP7gBLvr9b2NjY3MEMBy9zta1Oy8uYHnDO9TFVvFak6SjzjKKg8kAXkcOkWSIUunDRMcRiRMkRXcKhOHCdOkk4klShkE6nUQ6dNKRKKZilY2KFFJKfIoH00wj4zGQOvkOk6BpkudRiEhJHgYR07C2cab4wwf3owq110DPNt4vqL6QCl/l8I1wW6tthoFtbNscdgYzoAfzPteU+KgMtrB71Wu8WenGpTiJNdTjcnp5Ivwmqe5ODCQLVnUxs93Njtg44qefiVdtImZWsuJv60jkjacwGaYLJxtXvIt/0zKUkhLM9vbe/5trZ7E7r5wJsQ4qQ23MaWrqU2YzAZpnlFP5kILn0kv5oFxnaep9dAExGUdoDlwOP5guFow7C93UKXIX0ZXopD5UDwxsgE+sSFI2bjepeCE5oozTa4v7nC87RtDGxuZwMZBeN4YbWN24hc6wRHV2817XchShYEoDEMT0GIF4V69RLWNRTHTciRQRmSKS6ES4JIlQC6Z0IDy5KDKK6YBELAZuiaLrGCqkolGEO00i1IIjpYPmICy6MfMdpMLdCJ9ADXag5TtwBjvRcgRqNIXwShLhNgwVHP5cHE5vr4FuyjSkUuzVA/xj82OkZXwfD/oF1Rcyt8yaCbHnReL02mKeX9dELKXjdWr7aDXYem1jYRvbNkcE/ePi+scF3jsvl8q9O8Hrxdi5k7pXH+XPizQS7ZIuvyA3Kok4JFLRKEiZdJaqvH5mHmuSCvPfaCU59V3iwkRhL+PrDbbklNPt8qPGY0wItyJNE6Ts/b/BV8KvT/wYaVPikCZ37X6dsoaG3jLNBYL7L60kmuNGksSjv4zeLAnlqmBI0k4FUgKScYTu4+WGeoqLw3RoYVQTKgMK9dQPaIA/Vv97iqqT6LrCZ6b/G5rbil+sya1BTxTw7WeXklRacZllfPfjC20Bt7GxOaRo7m5c+fV0GG421DXx0s5XaAnGMNUgiulG1RKcQAkdImKlclPyCKTSROKWUS2jCWSOQjQqyUsZnLdVUrKtlXRJAaIxzsPzLyDlCeAUTs5o28Cq4nmYTnDF0lzStpayxmbSJQWM29pGe+VkHpx1MlqLm5RM8C+715HT3YK3eByJdAxnUqIX+Ohqi9NWPYHSht2sPlcnoXUiChzIYAci30Ew0krKo6HrCqZDJx2LYWIZ4c1GgGd3PMviPa8BovdF4oLqC/nSx04kEskb0Ji2Z/i06cE2tm2OSLa9X0eqq5tij0p7OMH7//s3fC0fYjY1IXJz2TPBwHBU4EilMIRKt09BVwEhaR7nRDVNigI6CZ+TzvEpSpLdaFEVw2cSHO9gsliDv8vBWWveo8otMRUFFIHI/N9QUIkOFBtxupw57NJyKVcUmotVGiv87K7JpznPg3SnQNGISklZWwJDaMjsu0roqHoS6hzMfUtSEnmf8WYB3sh3KbnhUpTiGB3BIJonh5rcGupDlgE+zldKV6KTlvRmHlu3rNf7Pc1zCSH/M6iqJGkIVjdWUlNy8mH6lQ49Qgi+8pWv8H//938A/PjHPyYSifCd73xn0G1+97vf4fV6+fSnP32IWmljc2zSGG5gbevaPnHWXkcOoUQIDD+oJlJXMaVOa7QRdzSFcDiJmN2UKIKztisUf7iX1qpqXiydR9TrJBzOI2/LW8yq240S0DHb2ikTb1BvuJnoNkDT8AbDSN3gpK1vU+2WmG0Jq2yHQX15OaKjmlIjTpdSgrO7mVM2bketSoBmzTLYEPDyj4kfRzedaCUpbn7rNZKJnbg9uSTiITy5Rawq9LF2rhdFJjBVSAVDiBxJJNyMzHFQ4vbTHu9CptOUesuoSzbz7I5n8Tpe44LqC+kwKmls6htycjzm6e6PrdkWh93YFkI8AHwMaJNSzhxg/ULgGWBXZtGTUsr/OmQNtDkkpOvq0Ddv6fVcFz23GDH5IlrTBnpujHequ9g+xc+4PX5mB3OpbG5BTaRJuK0BMkZmLlRpqpiGiimdBCaVkqvAKTUL2J1YiaGAoessyVNBJsBMMv/yL5MnPPvEas/CwwubUwRdblyKYOZpRez49Pn8JfUiDg3iug5mGlQTDBUpdFpLnCiAKa3FUoKpe9B2zcMR8TK7sYtx9WG08fnojfXk/vphbnbFrVCUgELenleoXHAimqLRlehEVTQE9PF+h9gOwkSmfaBG0NzWVMIj7ao8Wrs2XS4XTz75JPfeey/Fxft22Q7E5z//+TFu1fGHrdvHF9lGdv+QEHciRZg0JjEwAd3AG1E5ZavG6St2o02oocFvUNmaZlxIxWxKEHGWo7trCBr5pBSN35xewz233c7pngR4vRTEYszwetnTGeOHrT50Q6KmEpx7wyXkEe+j1zM7Yzy/x0lQN3BpKjPPGUdB0Q3s6Yyxu6iKSflO2jfuglaNMiNOe0eQSFspZ2zciFKag9kWQ+Rp5JpJtnoWknIHcEoHF217jUpNo1kEWXVGIeGObTiEZTy2OoJIv4Ncp4uGaDNPbn+SmB7dJ+RkcmnBPvHtx4tW92BrtsVhN7aBB4FfAQ8NUWa5lPJjh6Y5NoeC7IGMuN1se+4htFCcViWIcHs4sb2Tm3LSvF7lZPMMk82uGCgm2qxS3g5I7ny1ki94LqFlThVhI8Y/Gl4kJONIBFLPJda6gC6fwh0XncNpE6YyIXwJqxu3sHzHTkz9HbxqPgklyKZSN2efvu+lNRX49umWyPl8QT6M7eHRNTtIuBXUpJ+CvBTuzkqSymakqeBWE2gOQRW5BEWSybKIGmcF/sfXEwntZvyuF3o96GYkDICSm0vZngCVThO9cQ/RhgfwPurjjhsupanCTXXKh1pcwjJFoznSjq4LplbMYlfBNmKpFF6nj/lV03hn91Z+tuwlDFPi0U/Yb2jJoezaHO0HhaZp3Hnnnfz0pz/le9/7Xt991ddz++2309HRQUlJCX/+85+prq7mO9/5Dj6fj6997Wv84he/4He/+x2apjF9+nQefvhhpk6dysqVKykpKcE0TaZMmcKqVasoKSk56PYewzyIrdvHLNnp+HoyhvQY2VXJHAJ8FGctg3FK0gaz6h10BnN5v+ZE9ICXd5I+5qc6qWpNMC7qw3/XXb0GcuHeGLHdDlJpiSEEESH4dbOLiTee3mfMzktrG4m1tVNZkkNH2EXjpElM7Zc6cCrw7QGyTf3oqY2ku2I4lAS3L5yPc+lOWlJedIefwpMup+Bfr+ltj7FzJzWPPsrd762gPqlSoyaoqG9G5OUyPRDkJGUCe8x2KtsM1PJy1pu7WXVGIYFwPdLvwGtKIvKjkJMntz/N01tf4pzK87nz4pN6w0yAEWnv4QhDsTV7bDjsxraUcpkQouZwt8Nm7OnxXje54vwm+Ayp7k4SqkZaKKgnmwR8TqRSjJCCwpOcOGSYoNsB7ozbWoDUHKRKPAS/+QlOmncNU7HEQfugCJWthBI6ergapyzF6XASieQBoCcKeH65n7BRjp4niGodKEIyviBvn3Zmj6SfWg0/W/d7uqNx4q44mqJiEEZIL18565Os39PN69s3Ag5ivrcIFTjRhJcJRZ/mlKoTqJzSkvHYX8Oezhg7TTcTuhopeuphZFqnKb+cPb5qxuemmViUT3rrVnJ//TD+UAi1shIcGpdf8zH+qLhAjuPJBid3XvwF0lpbb5aTX3/wQ6I5HSAgpb+/39CSQ9W1OVYPii9+8YvMnj2be+65p8/yL33pS9xyyy3ccsstPPDAA3z5y1/m6aef7lPmBz/4Abt27cLlchEIBFAUhZtvvpm///3v3HXXXSxevJg5c+Yc0aJ9JGDr9rFJ/zCR9mgrOdJBhCRVKR8BUnTF03iTCqdt16j9cBd6RQnlG1uoSId4K3cSW3yVFKVjdJeV0fn1bzMrJ9EnY1N9e4S/7diIx5ciGEygIHE5VDSVXi3qOzFNEmDIdKv9x/wMlN/79oWT+NlLW9FcLv4Wz2Hi7JkfpYEtn86EuQuYsXdnr0d9Q5ZWl+2NUma4aPQUsqPLx9Q9rcxJOdjgbGXV6QUYxBCFTiLhZswcB8GYiuFo5em6Z3k7dymXTbqYDqOSNfUtJISk3F81LO091GEotmaPHYfd2B4mZwghNgB7ga9JKTcNVEgIcSdwJ0B1dfUhbJ7NUKTr6ti57Dnq3n2ZiladRqWb5AXFuMLQON6PRILhQWqWx1cAkVwHOQ4feUoBEdkCwrTWKQKvv5jJU07vrX9HWwSZLmSy/zzqwxHiqkGuR+sjzj2iNT53PHsi50Dpq3icCq80/ZM5FRN70/D1PGgUoaApGudUnoNu6pTmFNMV3YsamYWbXD5z6pmcNmEqkUgLb6UsMWwNFlBTorNpp5Pn6uK8vHqjJVZX1H7kaTFNHNo07v3BzzB27OS3e5yk4wmU7k6+tOFJKrA83nogAIC+q56uF95H1p5DabFJpxaka2knF5w5FUfleJ6pe5qw0QnCGvUvRbw3tCSbbG/FoZqCeKweFLm5uXz605/mF7/4BR6Pp3f5qlWrePLJJwH41Kc+tY+wA8yePZubbrqJq666iquuugqA22+/nSuvvJK77rqLBx54gNtuu+2g22gD2Lp91DBQmEhJyo1JElcwTsQvCEY7yEtBODoP0Vpiea5bHmJCzARfJd5rr6Uor4ZkXZp2t4scn5cTF83E0++e79GFHi2IpwfX68pCLwI4rbaYq+ZVDVs/BtK4HW0RPC61jx5Bf0/zQoB9tLpy706aKibx65VtpAIhlEmWXi/aHWR2KI89shNPbhHNIsiSsyvo9oYR0oSkg7bYR2Em+c4iYnlpGuOzcTtOYHLp7H3afji0ugdbs8eOo8HYXgdMkFJGhBCXAU8DJwxUUEp5P3A/wCmnnCIPWQttBiRdV8f2V1fw8sb1rD+5Afds8Agnlz1voKHQlachdQ0Nk7TbBAFCKEgkTn8eDmc+LcEUQhYiopOZX1vErHEVzC2b1yfnabYg5XudfGWAKYH7iFZON2klRtLUaI5GWdu6FrDS8AWSAYLJACcUTCGejiEBTdFImEGqCnycU3su86tOGLBel1JKtbucjem9+4hVfxHb7S6EGYUYXTspG1dMe4eftgnXU/38X5BpHZEJN2nMLaO7sAwjlaatpQs1naL09cV0/S1E4IZLeX9Cq5VeSwBI8r0uKrzVLNnU0qdLtb+3YjSmRd4fY/mguOuuu5g7d+6IRfaFF15g2bJlPPfcc3zve9/jgw8+YPz48ZSVlfH666/z7rvv8ve//33U2nkcY+v2UUB/I7s71kVOIhdd0wklwginCQiKO1KctV0h0ZDH6+NPoMiI7+O5bsor529PbcTh1zFMye0LJw2oLSPVa69LG5GhDYOnkx3IAO9vXAL7aHXtFdPZvakF3RGgbFJVH70u79IpbYrRVFFOQJ3IRe/k8cykApIVDUg1Auk0nnSKiFPHoSqo7iAO73o8zm0sbYqS0zil95lyuLS6B1uzx44j3tiWUoayPr8ohPiNEKJYSrmv+85mvxyKwRbpujqSbyxl63OL+d/Jl9A+cQIubzfOWD4FtPFBZS2XLZO0lgheG38xpjcHJ43klGzEIIUiVP51zhfY1azxRNM6SlxVhJJ+Ti+cxKLafadm399EN/3LNKQbeKFB9JmLoCcLSKmnlGAyQHusjTxXPvPK5jGvbN6gMz/23zfAax+07CNWg4lYzzKHx8OMq6+k8PLTegeK7tq6h1/XSdImYJic17GF2R+upCrPSWOylT+mX6alW0WqondChQm+Wn6zeDsyXdgr1tkPlKbuKE+vbeSqeVVDTnM/GgzndzlQCgsLufbaa/nTn/7E7bffDsCCBQt45JFH+NSnPsXf//53zj777D7bmKZJQ0MD5513HmeddRaPPPIIkUiE/Px8PvvZz3LzzTfzqU99ClVVR62dxyu2bo8OY6XXfYzseJBAOkQZRaQNk05SyGQBatsEztvwPom8HKZv3cu8tEqjX2NFSRFBnx+Xx9PHc71jU0uvN7ondGMgRqrXB3rs/UNLhmuAD7YsW8P76/UePPzm/SjJrgCanubm556mbZybeEkXH84UmA4dka8S1dtBMynzFbA7tIen654F08GTG0/mrnMuIRLJOyxavb9zNBoc75p9xBvbQohyoFVKKYUQpwIK0HmYm3VUMlbxWP0ziUQffZS9jhhvVJUSK+lCdUQRmBieFJ2imHUnXsSmdD7/36IJnFNd3Xtja+7uPkZtsRrh5dVJQkmzj+gN9ADqL6wD0VOmMbyAdV3LiesxPJq3d6ICTdGI6zHG5YzrHU3eY1wPNYVv/30PJFaDidg+y0pqe2Mbm8tbILWZsniQ9o4ghckw4yPtmGouTdUukm4NZOaBZgJCsLHjfUzfHsYbnyQU8vfW7VAUmrqjtAaSvL29gw/2BA7JYJvh/C4Hyle/+lV+9atf9X7/5S9/yW233cb//u//9g62ycYwDG6++WaCwSBSSr785S+Tn58PwMc//nFuu+22o6I78mjA1u2DZyz0usfIXrz9BWLRAEGRoKJdJ1Ak6E50gOIn3Tkdo6sCol6WlM8gx5/DpgluJlenmD13Gt/JKx/QGBvMoXCwej2aDNcAH7aGZ/S6cVMLRtNOyksKaGvrJl1ewaXr3wDDYMF6F63zJqHuaqS9Jp+VJ3noSDWhawbS8ICzg6iyil9/sJ7rTrgNh+I8LFo92DkaTY5nzT7sxrYQ4h/AQqBYCNEIfBtwAEgpfwd8EvhXIYQOxIHrpZR2V+MBsL94rP5Tja9u3IKeKO4TNpFNtgd7rW88MhSkWm2gvbKbt88uJWFEoXApWsqPREVEZqLpJ2A6Sug0dNakvFzf58b29TFqBxK30XgAVfnHc8/8b+zjrb5r7t2DerBHwmBiNdDyoYRtcqkPh9dDt9uFy5fPzNOKKPjXazB27qT61UdxJXSERyF7nmA96kFXUzSHd5KnnNx73v7j6pk8vbaRt7d39Hqejsacr5FIpPdzWVkZsVis9/uECRN4/fXX99kmO5/rihUrBqx3w4YNzJkzh2nTpo1eY49hbN0ee0YaPzuUF7y/kd0tY+R0O9ALTAJOSWlYZfpmwTLn6QSpAQE5foHi8aD6vYTiaV7KreaqvPIh9W0s9HqsGYkuD7a850Wj0wRXaSlz/v3/kbduPnp7B1VvvE7F2i7M9hgOxmM2KjxxzjRk2U4MRwRVmgglScRI8mT9A5x96qU07S2HHe6jWqt7sDXb4rAb21LKG/az/ldYKaZsDpKh4rEaww29U4eb0iClm7QEY4DBM+sv5r6PXd17s/cY2dFHH2WP6eLH06+iJa8U4ewiv2Yxubok5jMpCitoChR4PaBpzKk6gWfe9JHSowA8ubqB02uLhxSR/Y0yP1ARqvKP38eg7llW3x5hyZ6WUe9GGymDduktOp8Z5y3krmXPsfqdl9mWr7C+rALDHwMBmi6ZWF/HvBM6kG0GlJxJTYmPq+ZV8cGewCEbbHO08IMf/IDf/va3R0Xc35GCrdtjz0jiZwczavfxZMsoxZ0CvVilK9eFTPmJtFdx4+oPmJuUXHjndN5tSaCUl+EpL+WXr2yjLR5GNyXLt7Tt18s6Vno9FEdCHuoBtXredADS136y93m5OwFPzvoE3d2FOMOT8Pp34izfiOkxcKARTAZZ0foKmuZC5E+jNTYRl1Jqa3U/jkbNPuzGts2hY6h4rJ6Y5SJ3EXvCu4kkk5hqFIRB2P8iqxtnUhn094qGGY5gdnTQcPplxHOTOPO2IxxRTEXiSnuJaTrJMj+aTODzOPA4PIz315DrDRCK6SgK6IYcUnwHEtGxHp19pHliBvOkOGprmVp7N5PqruDVF97hw20QyE0jPd340gbhytdYkYRVy1fyhXcuYtI5V1BTW3tIB9scLXzzm9/km9/85uFuho1NH0YSP9vfqF3duJ0Nwd19jOyKNp1gsUrI54CEj3T7NIzQeLSIG/3smRRcfhqltbVMzdS5ZFMLZfkuUmlJRziBz+1AN81BNft41+uhtNpRW4vrvIWseeEdtAZwmDqpVBH+Ng9Xvb2cpZe6STnSxHIc5LpcNCRbySmOo5gfcnbl+WjuSsDW6x6ORs22je3jjP6CkD15Qc/MhR7NQzydBJEGBFKJ0dS1mNceWMa4Hd2U7mrDMXUqe0WQvaXbESe241CsS0lRFLSqYio8Di6ovpAKXyUJw5rCVk8U8Ix7A+G4jjTB61IHFd/BRHQsB3DA0Te9rqO2lhk3lpP7yBqUQJh0u4uF8afZlquTn3LTrSTYvuIJ8h54krzvfpeaRecf0cdjY2PzEcONn+0xaltjjRg5O1nSvhV9b4RArIuKtjTBYpWI30FxR4KZOxSW5SwgqEwEBP4KNzNvnI+j334ml/rIcTqANKqikEobeF3agJpt6/X+2UerwxFu//BF5m7ZyyzHFCtnd9ZEOYVODw16KytaX2Fd17J9xhHZHF3YxvZxTHboiKZoXD/1hl7D+PU9S3iq7ikUVKQ02NCxkrqZOtrsAi58VKW1uIjVV0Kq0I2mRSlx1JCWCRZWnccJJRUDxz374b5r5/B2nZWQYKgQkqFEdCwHcBzqvKajQU2Jj/+8/hR2tEWYkOjC2NDCFuNV9moGIqHRmihkd7SZ6nvvRb/jDtznLewdhGljY3P0o7m7OevU3Szf+zqmSNIRD1AVcRBwSCK5TvK609TszufURi8LzrmYS+YuYE3KCwyuw9mGstuh7JOeLxtbr4dHf60uXxclmmyldFcXi9qDlIkTeCc/xp4TUwSCu5AFLvJcuewJ7+HZHc+yeM9rttF9lGIb28cx2aEjXYlOEkaCsyqt1DvnVy9i9Z63iEUDGNE4zjTkdcZpLs3j/svORfGlId9kYmEZoegOhCNEiSufCycvGFHmjsE4XCI6ZKhNe2RYLwrDZTRjDT86r+U0TvGjrfjQ6j7WNF6dNJ+lZTn828qHmPCnB4g9+ijea6+1jW4bm6Oc/nmyQ2lrOvUIKYLpJCWBFNVNJbzjWEjYW8WuU31MveoUakt8DOfOt/X6o7rGQquZNx3XeQt7Ew38PXcR6bSJ2B7kjPALfHiyJKA3IR1mH6N7WdMy7pp7t21wH0XYxvZxjFt1E9fjtERb8Dg8OPRSlmxqybxxr+Qzr+6m0ZvE0RHkpavG017io8Pjx8jZDUoaVY3QHlMGTJV3sIx19+P+9t1/f/XtEb716AYau2Mg4fn3mrjvmjkH3K6xjDWsD9Wjuj3kayUE03vJyekkkcznvYrpNBXkUPnhWtvotrE5ymkMN/DDd35MdyJAXA8yPpVDgBTBaILiWJpz9uZSuNPD/VOup1v14NA0VLQxCbU4lvV6rOPCe2K6OyedgrlyD0V762lOFhHsOo2PPfYW3VOTrDzJQyD9kdEdTAZY27rWNraPIpTD3QCbw0NjuIFHtv4DVajoUue88qu4/5VuHnxhA//10Co2//UJSt6r59SOXGZujXHL091M21GOIzYHhIlQEwBIkebT02/l47VXjfqNX1PiY9GM8iMiBm9HW4RoSkdVBKoqiCWN3tnGDrS+nm7XnkFHo0VNbg2aopEmhKI6SRafjFmpsfisGv4xpZSfXnkeG06sQd9Vz5a/PsGz9/yIrc8tGbX9jzXf+973mDFjBrNnz+akk07inXfeGZP91NfX8/DDD/d+f/DBB/m3f/u3A65v6dKlfOxjHxuNptkc5zSGG3h087M0dncTDThIGyZd8QDF7Uku2Kxyx99aOP/1VmLaBJy5uTgcGmndRDflmHmdj1W9HkutzmbK7FpcZaW010yl01/E+qrpPDLlJqa3jOczD+zh5JUx3AFJfddOuuNdvLTrRZ6te5rGcMOYtGc0sTXb9mwft/SEkIzLGUdXopPdu3aTbM0jf289naqHekceFdLE7OpEm1hD7VXX4p+7gA3rd6KrG5CKgUuz4skaugMEOw9/qryxxBospNEdTYEcenDncOsbq27XKv/43pzhDr2UPV0xXtz7R7qjIaQagoSXf46LozeU8cjUq9CFwjOv7eIbDQ8y5aKzer3c2V2nAIm0QTJt4HIcvtm6Vq1axfPPP8+6detwuVx0dHSQSqXGZF89wn3jjTeOSf02NiMlO5VfMBzBUKJo0o2I5nDCLieXvbKGSvIQvkq8117L7LkLeGFtCFJpdAPuutTKNbJkk63XI6nrUITI9JkPYdNeylMm7R2SnYaL8clC3hXXkGjZgu6oY1w4TmdZa28c99zCc8iR1rTvQB/dPtzYmm1hG9vHAf3jzRrDDXTGOzGlSUdwL2o4yuRnn+XtwkvoVNxo0qS6qxGlqIic22/vDTPwA9+trmbxLieruv6JW3Oi4OTplUlkeudhT710IAw3Fq+mxDfswZ3D2cf+ul0PNkYwO494WluOpwOCMSe6ANXhwZmvsHm6F91UKEyE6HL72fLKCoqfepjADZfywQnlPLfNj0wXYpoSJHxufg7NgTjj8j3DNrizJ0oajZ6P5uZmiouLcblcABQXFwNQU1PDDTfcwEsvvYSmadx///3ce++91NXV8fWvf53Pf/7zSCm55557eOmllxBC8K1vfYvrrrtu0OXf/OY32bx5MyeddBK33HILBQUF7N27l0suuYQdO3Zw9dVX86Mf/QiAV199lW9/+9skk0kmT57Mn//8Z3w+Hy+//DJ33XUXXq+Xs84666CP3+bYZ7B7f03Lav7wwf0koyEiqRDjWgTBAh8iWElOfQWXvreMqoyRna3Z/1Hd96X5SEmVdyAcDr0ea63u3+6e+RC6TTcuXz7TJ0u2LHOTNiSFez20lbkJueLIVApfKkmDq4vdXU8hpMbj6y7EkahFUQUOReGuBf4Rt8HW7LHRbNvYPsbpiTeLZjwbnz4/l2Vdf0E3dWQyyWlLm5n+QYDSbW3cNcfNju4kNUaY8TmCvO/+D55F5/epr6bEx2dLLuKS8InUh+ppbvPxXF38sKReqm+P8MqWjQT1vZw7aQanTZjau3w44vfWtjZ++tJWNBVynI79PngOZFT9UPF+g9U3WjGCPefB5yvF63RRlJumK6GS55FIzUvtolN5/3WF7pwCtHSKiVqSxkgTD8VfJliXQyinkCrzGppaPUgkqiKQEpK6uY+xnUwbJHUTRYApwaUptCf29sl2MxoDei666CL+67/+iylTpnDBBRdw3XXXce655wJQXV3N+vXrufvuu7n11lt56623SCQSzJw5k89//vM8+eSTrF+/ng0bNtDR0cH8+fM555xzWLly5YDLf/CDH/DjH/+Y559/HrC6JNevX897772Hy+Vi6tSpfOlLX8Lj8XDfffexePFicnJy+OEPf8hPfvIT7rnnHu644w5ef/11amtrue666w7q2G2OfbLvfdOQfGxuJRMrkrSkN/PsjmcIJroQyRRSQMSrMy4Y5NTVXuZ0NzPl+isHHH+RrTNLNrUctlR5gw1YPBr0+lBpdfaMvx99X4jztFN57uU6Iu3g3ejljOjLfDgTQt5ODKEiFYFU48T9r5GM+5nsr6EjnEA39520dSCt7tHz/hnKbM0ePc22je1jHCt2LU1HOEVaN3nw7S2U1yQpU3Lo7G4mvytBlbeCFG1U7N1Bpc+H94ahB81ZwuBgcunJVFXBy6s3jriL7WC9AfXtEe59cglB/7OAwcr2l7iXr1HmrRyW+NW3R/jZS1tpDyVwaAr4GfDB038K+5G+8a9u3E7UsYkSVxWhkH9YD7fRyB3b/yFw58WfI621EUmFearuKVShsiJ/M5+85kzqN2+j9L017PV30DXVi+F24I+lCHjDtCbex+taABIMUyKEJc7ZJNMGzYE4hpToukRTBaoiqI/v7JPtpj5Uf9DC7fP5WLt2LcuXL+eNN97guuuu4wc/+AEAH//4xwGYNWsWkUgEv9+P3+/H5XIRCARYsWIFN9xwA6qqUlZWxrnnnsvq1asHXZ6bm7vP/hctWkReXh4A06dPZ/fu3QQCAT788EPOPPNMAFKpFGeccQZbtmxh4sSJnHCC1bV78803c//99x/U8dsc2/Tc+zkujc1NQR5Z+x5Kw0vk+lOEk92ohokhwBfROW9FN7NandT+yzXD0GtLaw80JGI09HqgAYswPE/7cPX6YBmp9o6FVmcb+D3UzpvOt6ur2bzkbUoeeIbKrhB718fYcv4JvDQ1TSjHAFMDIdHyPqA1puFSStEU0Wdfg2l1T29l/wxltmaPnmbbxvYxzuRSH7oBad3EoSloiXxSXWHagztRDcm4TS2YLhNtYk1v92NTXrklrO37CsdAwjDSUeij4Q3Y0RYhTgtCSYHUMGWS95q3cYI/b1jit6MtgqoIHJpiDRwy2Gf6+p6UWopQMKUBCBShDPuNvzHcwLLOB0n6IjRKhVzHlUwunb3fYxvpNM0Dnfv+D4FIJI9FM6ayomk5Hs1DkbuIlmgzL6ReRp2osrzUpDhdDt0h0hgEikFRIjjESs7wV3PSaefhTbQNGEKS1E2kBAWBRKIIywNe7qnunShJVbTeF5aDRVVVFi5cyMKFC5k1axZ/+ctfAHq7KRVF6f3c813X9VHZd3a9qqqi6zpSSi688EL+8Y9/9Cm7fv36UdmnzfFD7+Q0gTiKswtv0TZixHEFVCJqGndC4kymufZNndn1HvK++11aZ596VOh1z4BFoM+AxdHQ69FipC8jY6HVg52DmhIfNddfQPqUGpJvLKXq0UepfCtE8YYu/vGJShKqQtIXxV/UgJB7ObvyfBDT+9QxmFb39Fb2DK63NXv0sbORHOPUlPi4+9KplOa6KRY6yq4YJ77s4ZQ3E3xmtY8KZynuc8+l8Le/wX/HZ3nXzOXrD7/HH16v47+f2kh9e9+R1wONzB7pKPSDGd3dGG5gRdNyfL4gLtWNcIQRzg5wBPB59WGL3+RSHzkujRKfi9JcN3dfOrW3/e/s3sp/rfgRT21/muboXrwOL3E9Tiwdo8hdhGHq1Ifq99vOx7c9RkTvZmJRIbk5kjmzdqO5u/d7jD3diJ8+e9KQD7aeh+Bflu/c57ca7Dxki6kuDVSh4lJdSAHuojKc46uZQin+mKRyr0FUcbN0zzb+8NjbqHLf8BGwPN1CgIlEAFJaHvCJ+dXcNfduPjHlmlHLCbt161a2b9/e+339+vVMmDBhWNueffbZ/POf/8QwDNrb21m2bBmnnnrqoMv9fj/hcHi/9Z5++um89dZb1NXVARCNRtm2bRvTpk2jvr6eHTt2AOwj7DY2/em59888OYy/5lkiYhOmEiScDJLXZXDJVjdffFFyWu15FD34Z1pnn8q3HtvAr17dxrce23DE6XUPPQMWDVNiGLJ3wOJo6HV9e4Qlm1r2OfYDYbjaO9LyB6LVg+GorcV3x2cp/O1v8Cw8lzldPq59NI7eNR4z5ibYDUG9laXNLxBMBommo73bDqbVPb2VPYPrbc0efc22PdvHKNlv0WdOKYWuD3nmmefYXDiBtwqrcAdqmfneMhS/D+/NN+GoraW+PcJPs7rqBPt21Y3GyOwDqaO/p1lTNC495TRe2ZNLwgwjhMny1hdZOPGUYXluBhv0Ut8e4ZdL3yLqjaFIL6YrwI7uetxKDqrQaI6043U6h3zjbww38KPVP6Ap0oRu6oSSIYRQqAt9wM/W7egzU+dgYjaceMP9zdo20PFlZypxq24e2foP4ukYilBIGWk8nhzOmXsZTat+Q1eOhtQM/JEoiXgn6VARZiKB4nb3aYfLoTIu3zNgHGCVY/yopoSMRCJ86UtfIhAIoGkatbW13H///b0xekNx9dVXs2rVKubMmYMQgh/96EeUl5cPuryoqAhVVZkzZw633norBQUFA9ZbUlLCgw8+yA033EAymQTgvvvuY8qUKdx///1cfvnleL1ezj777GE9CGyOPz4aXxGkJb2ZTZHHUZQAEhUz6SYZqYT6Cqa8t4xKb06vZr+9qp7GzhiqKuiOSN6u6zgi9Lo/Qw1YPFi97h/jfnqtNQDvQMNeRhrrPVZavT8ctbV4b76J+OLFRBPFqM2TILedlCeIkkoTFxFMadARb8ehOHCqziG1uofswfWjga3ZFkLKfQPojwVOOeUUuWbNmsPdjMNCfXuEbz+7lKTSioaT8yZGeWfv67RIFdMdQyZ9aLrCNeEzuO7ii3pj/ZZsauEPb2zvje8uzXXzvzeePCajr0dSR+8ofCNJNB3hhIIpxNMxFo4/nxd3vUBnvAOH6qDQVcQNJ97YOwvmgbBkUwsPrHyXVOELpMw4Ug2C4cbQ3XjC56NqaU6dVM6kMhcV3mr2dMXQ3B3Mr5rWK1Armpbz4KY/E06FkdJEEQoezcOkvMm0RJtJGAmEUPBqHu6Z/80DFraeB41ummgH2L3bE5PuVt19XgDeevkP/KHlaQKaD3QHOXWn8vUL5jBrxnTUkpIRt7VnUE5/Ybex2Lx5MyeeeGKfZUKItVLKUw5Tkw4Lx6Nu99zHCdFGPO95cv0pQvFOdFMBITFSOZSsn0taL+WGao2LLz+tV7MfWVXP75ZsR1UEhin5/KITuP6Mmn3qP5R6PVr01ya36qYp0oQAKnyVJIwEW5rivLr5Q5yaQnObG58/jFNTUIxChKIjTY0TJxjUFOdQ4hlHQ3eQk8dN6R1Mf6gYDa0ejPiS19n0w1/wi2mXk3SHkWUdOIs3kPCrfLnma1RPribHkUOeKw+n6txvfbZWD4+Rarbt2T5K2J/YZQ/kW93YQcj/DIpIElOCvNZkknSakMxFIDGlhnQIcs4/oc+gGqurzwF+enOyDho7NgopjoZTR2O4gT98cD+d8Q5URUVKSXO4FQc+yh0ncsesSv7wwf1oQsPj8BCMSH739nO9gpp93iqDLeibt4DXC7EYeL0YO3ciAW3SJIydOylPazhjFcjwuaTzNiG9Blo6F12LQ7ybtmgpb3qeYnmbRGIihECg8HqTj1tm3tz7UPBqHgKJbkxpUugpxKvl0JXoJGEkCCaDqIrWOwuYnigY8YOs57huXziJRNoc8UPwo/NSwFmV+xr7HbUloOdRFDNJpcMs2vUUqj4ds7MTAOH37+PhHoyeQTlSghCMKHWgjc3RynAN1B1tERKiDTXvA8xMfLbUJOgaiqEQ3XsmgZwaCgt8zLz+FBxZdZ1eW8zz65qIpXS8Tq3Xq5vNodTrgRjqPNS3R1jduJ2I2EaRz4VqFNLQHcTn1Vne+DRGKkWQOHm6g24lAZmYb4EgX3fSrSRI+wUJCd5qiRSCZMZ/qBg56GqMdSHJupC1lWLk8coelfNbz2BCYSkVvspeA344MyAfzEvHhbPKgQObOn6o/XoWnc+cCdV889UVbF6ylarFHxIYF+axT5SjSDCkTjQdJaZHKfaUkOPIGXQ/tlaPHbaxfRQw1ACVgcIrZuadBlLHSJrgkXijadJOFUNLIRBommRcXi7zq6b12c+Bdmf1b+toeUDq2yO8vGM9pgmqopI20ng1H4mOk0glJnJ/Q7c14Of0/6Q+VE8wIvnThr8hZZpXdglufucSnt/uJm2CQ1X44tI/UhXpwGxvRykpwWhthZ6enYy65AOfzyunccKJRGUrT13tR9e6EUIQD6dRXK2o6RhGKh/c3ahCYCYKae/u4tfLf4wfFenLYWr5LILJEKaUmGknF0+4ljyfYGdgB8/tfJaeMeLdkSTfftPqhXCZZXz34wv3e94OdsDS/rZvDDfwcv2LdOshcIKqQaxCYLocyHQao70d0dkJFRUoWaO/U0aKpJHEpbr6eFB6BuVoqkA35ICpA21sjiVGco8mtG1ECx5FmiZSiZAOGxSmdcLR2SidZXi9E/j4hTMHNNJ6wjOOBM0eqJ59syIV0JLejABUo5C/vbuOmGsNUg2jKhLDBNJecERRpYlqmJgKGMEIZp4DJQ0IMAQYwShmngNNgikUTAWsfwAhMQ0DVBNMLMtRmKhSklY7Wdz4HOpegUAihIpQFF7c9SIz8k4hmfJwYskE8nyiT6jfgepu/+0GeiEayfYD7ddRW8v02lrGO3Sif/qAiYyn+A870f/PQNVNDFUHQZ+QkoGwtXrssI3to4DB4r16cmIGkgGCyUBveEWBz0WF0AnpIWLSwGHolHZJZu5RcJx9IyUTCvuEPWRzsB6MkYhR/+T52d93N7v42UtbEU6TdLGO4tBBAUW6kImJlHur6Agn2PZ+HWfHGinyevnDzncwcxK4oioJd5K31iwhkTyFwniQLncuu1Ia49rawDQs49owQM0Iia6DwwFAVfdeJrglRnMziqOaly73ocYklLxFdO98jBIVoYSQSYEuBLqIYKZSxE3I6eigpTJAV6SNhCqRiXJMkeDh5Zv53pU3UVNdw5rWNcT1GB7Ni54qIOR/DFWVJA3B6sZKakpOPqDrYbjsb/v6UD1pQ8elujBMA1MxWTPLw2ynSUoFp2kiDQNj715wOlHcblJGitZYa2bAjaDQXYgpTVyqC5emIgToxsCpA493jtVQvuOZ4d6jjeEGnt3zVxQtjKKDN2JwcqvGgufqkV4neyrizL7rQmrn1Qy6r0Op2YPx1rY2fvbSVlRFkOPSeuvp8dq7CvYQSgX49frtxGQAicQ0wXC6QE2AFJi6CQqoRhpDk2CCKQAJiilQzIy7FVDMvstUaSIMy6BGmggEzmScmAMyIwEBQdqIYaoSxRTopkQRJqppIFQHLem97A0/BwiWtQnKc8pwOxycUjaffFc+yfCEA9LdsdbrbNznLST+7LMYHR2UtybpSBiZlzhQhIqUEEwGBw0p6RlAaWv10ByIZtvG9lHAYANUenJilnpKCSQC7Ak0k694mbZsF9XPNNCghnAlTdLlhZxw5uVMuu2KQXOxjgYjEYWeQYQxPY5X8/Dp6bfyyNZ/EEvHSOhpArvPpjvpwal24YtNxlO0neq8cQQSEYKimbYGB5ppUPjDHxGMdGC0tjJ5Yjlv3FxN3JNEUSSTWhppzzuZLk8emqEzIdRqGdgCqztSVQFrdsR9PmfW5xoB8iMK+SGDQK7K+dteRd9QhOYLUNKis7L6JDbXlpEfCtE1rYmuAgdIg6K9IRoqvJh040g6MHYm2PT4i5xf5eXuSTfQlG9mQn62gDCRaR+oETR3x37P88EOWNrf9jW5NXgdXoKpAFJIVKFSNm4i3XoX7aIQn1dDUVQ8aRBdXVBYSFJJI6VEEVYPRHusHUUoCCEo85b1Dsqx4wD7IqWks7MT9zBDcmyODvZ3j/WETzSkV2JEozgTKdIKONI6Z69JMM5XiffaK5lz3uD5s0eD0coTnT2wXmqdvLyjnVOMcvakdxLNe46wGgbNJJ02cRgmEgmqgkh5kCogJMKUSKlgoAAK/nAKh6Fz4RudeBMSV1LSWuJEyfVTsrOTpFNkljlAQFlbus/npEshkltOXYGL/GSYwnaDt6dMZM+MGMIVQ4Ll9ZYSw0iCULEStElQTBLBMJ3OOI3hJlRFIddRSNI/iUbdg9txwrDSuMLY63U2jtpaCn76E5JvLCX8xz/i3LkbpaQIyr0IJIbyUUhJnrMIRbr7aHL2AEpbqwfmQDXbNraPAgYL73DopcQSkqgIYSTySIWn073LTWjVq1Ts3kvl1KkYXZ34r7oR3+2fHfN2jkQU1raupTnajCJUgskAK5qWE0vH6E52kUinMApfwZvnRJqCtAbFwkG0sxm3IVnw5nL2KLXMrFvLuL0fsruggj2Vs6nubOUTLzbx0qU+XIbJtvkJrn/+78T0cqqDzVR7AW8Fvs99DjU/f8CY7Z7PxGI0ueIkWtci3LuJTHDjSqY5dd4kCp99E2NjM5gmxZ0mDf7biBuleDcWc0boBT6co2JoCrkB6AxNQw9W4gs7KP79zwh6FTyK4KTPfQ41P8hJkwp4vcBHLJXC6/QxviCfFU3L95up5D+untk7sn+k7C9cqMo/nnvmf4N1rWvpTgZY27qGhJAsia0gLaDIWYTA8ir59zZbPbV5fsIiiW5IrDcWcKgaEoNmpRmP5kFTbLkZCLfbTVVV1eFuhs0oMlT2jFe2bGTxjlWkc94HqaMSJD+kIwRc+2aaibPP6802MtaMRqaRHW0RFFcn7oJmDGLEi9/jnXbBkpYQOYYDlDiqKUBKpJDoikBKBcWUFMWD6HGVGbtMxjW3o0RyaCnQKO8Oke+Hyk7JCdd8FRKJPto8lHb3/xz5618x9lp6fcL2FD9PXU2yuB1VSj6+9h1MX5yQF96ZV0ogH5AgpIIR70YKBVVRQZh0Ga3ga0eg4HNtYllbB+8H8/cb611T4uP2hZNYvbOL+ZMKDyg7ykjCOx21tTTllbPZX0PJPx9AuFwkK8pJeDXSGpiK9UIhaUAxvAhU8rwONNX2Yg+XA9FsOxvJUUrvNOzaVhLqLrRoJZWtfjrCCT4Z+JBTlz2NWlKMUlxMwU9/ckiEu6ddwxGFZ+ue5q+bH0IVKoY0uGLSx3lr71vWQEihkUyqmFIgEoUUu0Oct7yJ/LBJV4ePJydfi2qaeNNxrt30Co/OvARdKGjSZFHwn6w5x0VOQRmdrhSnRcqYqBdQM246lUkP2onTPpq0Z4g29mRAUYWKpqhcUH1hr6im6+pIvrG0V9D3dMbYabqZ0NVIRaCFXe+8zAaf4IWqK2lRJyOFoDTSyTfe+B3jY53IjHddLR8HimDLZ25iozNJ9YQqlhlvDWuq3NHq/h0OjeEGVjdu4dE1HxL3vIupxHBJA18oxb+82MncdQGUokKW3HILzzsU8v15tKqvk5sjiZvdFHtK8Dq8o5a39XjBzkZybNGTJao752kMEUV1xFCjxfj0dk7Z2MVZK7uoVIsoevDPh0yve9p1IDHbPWF/9Z0dPL7tCUzTBDWCKiSqrmMKyO8y6SzUkIoCUkDSg9pWgZp0okU9XLLzTeZEJLUfu3lAh8dw9Xoo+uv1rq172Jl2MMmnUPjn34CU7I7Bjy/6JF3joiDAH1RZ1PwqG05SCORrmIrAFAJNaJgITNVEEVZ4XL6rgGumXIPP6R/QSXIotbr//rR0irs73qHktefYq0X49c3FBAocCMVF2sghj+mYwVnctuBUFs0oH7M2HS/Y2UiOQXpi4Yy8lchUkqTYxa7mM/CkHVS37OwzI+ShFO7hxg/OLZvH4j2Le2OXz69exPSiGfxm9a8wkgY5psSIRHDpIdydcU58pxk9XcyfzrmWLm8+DlOHmMkHk07CcLkpKy+kIw3ajGsQ1e+xU+/ElCav+PdQ6k3gdQS564y70RMF+xW+xnADv93wG7oTXThUB8XuEgo9RVT5x1sPpqSPyVdd37vd1MxfD/61H6f99U3EY14cUkGmkuhOJ3sKK6mKtFlhKrqO2dZGQ04xf1oNhjOPFTs3klfbREXpBAIkBpwqt+fB2B5KHFT370gesFX+8Ww1HSiJOKp3AyZRDFXBnYaKxiioKmZnJ9OefIlXT/oksepycn1XMqdmN3WhDxiXM27Upv61sTla2dEWIa5tR3XE0RNupBbF0MI4wybnbFMYpxaR993vHlK9hgOL+e5xRpipJJ2p7sx4GgmmRDUNTCGQCDq9+cikRiJYQ1EwQTRxAkY8nwnFXjpcUHzqCczMSmXIovP77Gc0BoP31+vpi6BnXsX0ufPZuW4LywMu4s0pZLdAptOYiTDlmwtZsHYjm2bkEvKprJmVS1ehCkKCIVEx0BWTrngHf/jgfgrdRShC4Y5Zd3JK+fzDotXQPzQIms+5mJIlz1PWFOXa5wSPXlFE2qEQ8IcJmpsQ+VtIaPmAbWyPJbaxfZTi8wXRvetJGzFEzIVwxsHbjYhW4Jw/n8JPfeKQi/ZIqPKP59PTb2FF03Jy44LEG0vxtmsk604m7Qujdbu56b1nMPJiVDbGGNdl8lZVGapp4MAkrTqgpIwz5pdSF/DR7XDiUhTOuvp8coMVPLvjWVyai9ZoCy7VSTwd4+X6l8nTT+kjfG/XdfQKmebupj5Uz87ADgJJK21fQk+QMOI49FIeWVXP8+uaUFQxqPDXt0f4n7Uhop5ywsmEFcfs9uLLdTHjU59A/bOVAcXY24w0DfYUVaELhcJwBx1aDulAlPbQ+zgLi6ksVaDSqrfHu/z0yiQyXYhpSGt0+QF0/x7IA2xyqQ+3LEV0XYXTvZOLZ43jLK+CT/0FMjeBGQhS7YYvrX+cturrmfHxK9Hc3fxs3Q6aI+3ousChl474OrGxOVbw+YKkPe9jiAiaSyITXtS9k0h0laLNTVJ0hGt2T+arzpZdrOh4m5AZR+oGuipAWjnBVSnJC1ohMTXrc9hQdiI5UR+7tCnE3So+r4IocNPtceFSFGZefX6fVIb96R9Tnq3XQ83WuKMtgtuh8MDSnUPqXFNeOT8KdBBNpQmrIBWJomr4vArTLjiTklfbKV/eDIaBu2EcLy2Ygpsg4YpODFcUKSSKrmM6IJDsRkrJbzf8mpP2LGDl1jhKYiIiVXTItTo7NGjK7Fryvvtdgt/+NrObExT/uZmVl9awerxBLDeGqQme3fNXit1lRCJ5hzSX+vGEbWwfhTSGG3is/vf487pJJ4O4VZWYkUNpS4qIYtJ8zsXMOkjRHu1JDPrX1xhu4KEPH2RvqBFSKVYGFcpWTSbhO5nyNp0udy5xWcEZ760FAcq4cUx06vjLS9CEiu5wceO5tZheJ59xKH1yTWvueSxrWtY7M2I0HSOQ7GZd61pUNiIcF9IaM4mrrfxjTQseUYLLEyR3wmuoqiScClmj2VUnutSZU7CAXz7fQUckRSyVZkZVPrGkPqCHoufhUFlg5TKdXpnPlHJ/b9qu9Lnz0TdvwQgEiPz+90xUk2jSpMudizOq84knwxg5QcbHAgTc/87iGy4m5lF5wfkhCekg5BdU6Z8kFPJz6ZwKSnLdvcc9kry+I/W09I0bPL+3fHrSySTfWErkr38lvXUrpq+E+JIlJCeVU3PFIq6p+Rw/WbycZLyQX+7sQL+w4IDygtvYHM00hhv4ILSMYi8o3X4ChNGbayjfWkh3bh7NF5x8RGl2dl2au5u1rWt5adeLdERbMdMpJAqKCboCIFATDkyhMm9lktl79zJez8VI+thReQp6gUqVy82ZMyso9LkYX+QdtgZkG47xpMEjq3bjdirkOB2DOjv++6mNlvEc13E5FCaW+AfVuaH1+grS119B8o2l6O0dnLTsXd6sr0EXCr62ILPly2yZrqAaku4CMEyJhkrA7GZJ/AXMHInm9eMKXsSVJ557mLQ6U/+i89EmVJN8YymVf/0rC16qZ81nxmOYoEoH8XSCny17CRmch27A3ZdOpbLAe8gnMjqWOSKMbSHEA8DHgDYp5cwB1gvg58BlQAy4VUq57tC28sihPlRPKthN+fYmVL9g/A6Dzcq5RJQ8XJWVTJl98KI9mjFm/eu7feEkNuxcSjDchmKkMAS05TrpnJZDV6AQkHj1FDVqErXyowGNRSdO49uZ+L2hvBb9pyRf376eda1re8MZFs6LsqxpGaFIDN2rEGu5hDxPAC2VoqagnLSRAhe9Mz+6krNp7A4jhCCtSxo7o5Tmegb0UGQ/HHKcDj591sQ+585RW9vrvXKdcTp5m7dwb1uYFS+/TZeh0KCdwMm7PkT6Izx4mZdEYAkdmhPSAs3hxhQ+GsL1eEQ5rvwoU6umUeX3jeg3O9BBUQN1N/ccjwS2/PUJfjXrKnSh8Oziev6z4kPWx0J0RpOQ0umKx/jf5zeT63UckthFm7HD1uzh0xNyYUSjBFPdFCZMCpIQ7i6nO/fI0+w+U6C7dqCWvU4qlSBhRtDSOgLQNYGhO0HX0HafgJrWcCYKuGT7UqZ96muo+flow9TrocgeDP7Iqt10R1M4kgr4GdR4jqbSdIRTpNIG4bjAqUXJcToOWq/nXFvHva+uoK4zQdfGRhqNuZy/eRP5nhZiTslr51nhGRGfhqqqmEKiE0L3v0zC42Zq9YIjRqvNvz5Bcs/pGNM+wFCSGKkQhmsNSS1NKlbN/z5v4nNpQ/bi2oyMI8LYBh4EfgU8NMj6S4ETMn+nAb/N/H9Msr+3Xq2ti1hHM0mviTshufzDNFfOTdJ8wclMmV170DfFaKSDGqi+YsWgqSPITx5djSPWTeJEDeFWMFRA6iildRSHqpgX6uCqs6cw8dI70E6c1qdrtQZLSJZsahmyjVX+8b3xweU55Wzp2kxXohNV0SjyuVCEiWLmIpQQptaGTFTidTrpSnTicXi5beZneqcvX7HRABlGUcChCeZPLt5HlLMZ7kxhPeLnbY/wZqiMxkASkLyens1s4xkSboEzZVqZqKSJnk6A6caMm8TLn+PFPYLndpssKLwOnzFl2L/ZaExe1B/3eQvZ89K76EKhKBmmy1fAqleeYcX0bbjKEmA6Se+5FMMsH7Xryuaw8iC2ZvcymGb3zoAba0NNpMgN6UzfGuecbQraEarZ2bmxO5QVEI9ZCa8ViVQVpBSQyCF/Vzmp2CTO37mbynNPp7bIy6TPfOyA9HooevJ1ux0qDk0hrZvoBoMaz7oBad3E6VDJ8zg4vbaEq+ZVjYpeT6+tpXtbGz9hPaauo+hn89V1j3D2unc4YY/Opilulp2eR2ehE1QBUgU1ypKm53h974vU5pxKmTLviNBq0VVB/q5ugpOa8JtOAp4wWsE6tNwtmB2XEU0VM6l08F4Bm5FxRBjbUsplQoiaIYpcCTwkrdQpbwsh8oUQ46SUzYemhYeO/b317tr0Fv/88O+ohsTQBJc93864YC5Fn/rEQXdD9jAa6aD616dGIrQ0NZFSXaipJEWRFM3yDPTqrVDQQjpVgHCmyakwufbqa6idN32/dfa00TAk7aEE9e2RAbvosj3dNbk1ALxW/wZdWgSHqeHWKvnKhQuYMG5en0l2eji9NsLz7zURSxp4XeqghvaBzhS2oy1CDBXN5UA4u0hUbGBr0kcsJ4U7rgPgShikhQN990nk0kyoJEJXNEUag+cjD+HpvAbVLO7zmw310nYwE2EMhKO2lpm3Xcczi+vp8hWgJpMEO94ilpaomgNElMKy7eREx4/adWVz+LA1+yMG02xrJtaXMVNJtLQkrQACzlrZxTi16IjT7J7sIs1GB9H8xwmbKRCJTDy2AUkPZls1qu4mGJ+CWxSRk69y/tcvHFW9Hmz7HJdmedVNyV2XTh2wbE2Jj7svncrPXtqKpgi8Lm1QQ/tA9Xr1zi4kgpwcD7FEii3nX838aBPle5sp3xtjxocRHl80lU2zHIAJjhSRRBhD0VmTeAWhv43TM5fW2GRcSulh1epUdCJKsh1EAM0ADDc4Erhy9+CKlttaPYocEcb2MKgEGrK+N2aW9RFuIcSdwJ0A1dXVh6xxo8lQA0Iqgy1s/t0PiM3RcSR1cGmkywrJ+8p/jOrAmv29TY80NrDs/Xf5wjP/R73qx2XqPDbjYrq9eZhxF1rHeCjsQrhS+N05fOnMi6idMHW/dWZ3Lz7/XhMvbtjLax+0cPvCSft0VwLsaHMwufRkqvxWe79x2tdY3biFtg4/edXlVBZ4qfKXDjqr5n3XzNlvXusD9S5NLvWR49SsLlLPLoQjTm5eObF0M6bmAj2JRCWBj5AsI0wZfragG0lQNIRIkcx9nTPHXchJJaf0CuNBj+IfoTdl6hWL+M+KD9n87BLGvbWYzRM6QBYgRBqpQG5pHV+Yca09COf4YFiaDUe/bg+k2asbt7Os80H0VJhAtJPcqInQ01z7pk7lGGQdGUqzh3Mv92YXkSadsXaEMNBEZqJd3YEwXcgdc3EGKqgqyaUlJ5fTp1cM6TEeqH3D1+u+7e0/t0BlgXfQfZ05pZTKAu+Y6fX8SYU8s6aRWFJHUVQWXHkuRVef3BvbXfHM05yx1OBt19WoeQ24yj8ARyQz/YBAakGU/DUo6vv8ywm3AYdXqx3Ph2nP6+TNU310F7QhHQ6KKrZx29TLbK0eRY4WY3tYSCnvB+4HK1/rYW7OAdHHA2DKPtkvvqJvQesI0pXnx8xzoSgqxV/6Ap6Tz99/xSNksLfpgbw4PVk8+nuEe/Kbhv/4Ryra2qnQdVBVykJtNE6cQdwX54nTXEjFicDkhmk3cNowDO3sNu5oi6AoolcwV+/s2ufB99oHLfsIWZV/PHpxAf+9fCNp0xL+/YlcTz2DlT2Y+Lr7rp3DK1s28lZgBxEjRpMeRhEKhXnjaA3vxRkWCKdClbGVUHg6M95V2HKWxEDHUHRw7WBFYDfTxuVSU3LOQXXbHkz8Z+286UzIc9K55FHEhyGWnJlLMBdUHCgKtKQ3c+WMq4ZVl83xwdGu2wNpdsr3LqmcDiYYDgqDOjM73Jy1OsWkOefh/c7YTFgzkGbv717uyTDy7I5nCCa6wJBII41qRa/hD+vMezeKt62IstQmnjxvLt0+HzmKMmxDO7t9B6rXPexPg7MZK70+c0op9107u3eSmjOnlAKlH43FOe1UUj//G0VdJs72UhKBOWiTVpHIAWvKSkjLGCk9yj933s85wU+TNn2HT6tvfRTjvU6kafLGOQXkkU/Um7S1epQ5WoztJiDb5ViVWXbMke2haA8leHHDXkr8btr2trN5+TKcaoiCTifC4SBZlkub/9A+m96u66ArmqQ830MsqbN410pWBx9DFSpeh5cvFn+C8p3d7GoLs/mFN6juaKCivQPhdNKQW0ZDZS3TP3Epl5X6ebcizriupTjII02IPJ8YcXv6C+b8SYV8sCfQ+x0Y1OjsfyxDidxgXpD+XoUDja+rKfExI5Vmw2aFZEIjpZsgIG2kUVQNR1kuSlhg+E4kvyvO1M5m9kZcBHI1JAKQGIbBn99+lpSZpMJXfcDdygcb/+motVJNyXvv5YYnWnn4E6VE/IJwMsiSPYuZt58Z12yOCY5bzX5685voOe9iiih7FIPytM6C5+qo8FUespkhe+gZMOjSNKKpdJ97ucebnUxGCSVDCANMYSIk5IV0dEXl5LWlnDf+FGpO8eM+byGzDnKCmWNFr8+cUpoxsvfFs+h8Tsov54WX60inDXxdCtct72bnRIUd5WXsnAG6IwGqJJwMsbT9L+C6hI7w5MOm1YF772XGljArT/HTmNONjDl4dsczVPoqOaV8/rDrsxmco8XYfhb4NyHEI1iDbILHYuxfDz0eivr2CK990EJ7RxDR2Mj4hm1oXgMVhfYCB0LGWbzntf1OFzta1LdHeHJ1Ax2hJN3pZkpKmlnesZ6oHsKhOpDRGJv+8i069+Ty8ymXoo+bjzZuHv8WfgglN5efzrueREk5vqSP+06fw2R3N9rqN4npLXg0b2889UD7HSqerb9gZqcsAsvD0d/orG+34rC7Iym6oymqCrxDitxAXpDBvApDdeEOeSy5NRjSwDAN3A43fkcup447jZNKTiJhJHDopUQieVTt3MTuRwVhn4rs835iktYaeG7zwxQWFXDnxZ87oG7A0Yj/9Cw6H/2OO5jzpwfo3OHjtSkJShNuEq60PbnN8cFxqdnv7N5KovFVTKJgCrwxg7N2u6kgj5xrrz3kebSDsRR7uxJIJJqi4HZYBu2altX8Ys3/EUlFUHSJripgOFBMlQuXtJOjeHih7DKWjp/Cmjwf9101xzrGzLEOxfGi10NRO286366uZkdbhKqdm8hdHuOkum5WVhfTpM4lPW0tpkhjCoNYOoy/bDGTvSGq84vR3JXA8PY1mlpd+acHOHu3m1d8BgkNgskAf/jgfspzym29HgWOCGNbCPEPYCFQLIRoBL4NOACklL8DXsRKIVWHlUbqtsPT0kNLTYmPe+flsvnZ1YzbtJiKRDcylOLMD3WWjs+jNLeSuB47JMZLfXuE3694h065BVeeE2fJ2yg5KSJ6GE3RSKeTxLuDdBlhWvKKrKwUiSCdnjwaxk8lsvAiWiKFaI4AkXQdr2xRufykSkBaoWwM7KEfTjdZf8Hs/30g70VPd+b0qjxaAgk+NrdySDEd6CGRHarR1B3l6bWNfbpWB0p5OFT6qyr/eO6YdSd/+OB+NKHhcXi4pOaSj2auDGT2PWMRH+S34Wl+ioQRRcdEmk7UtgpkboCC+jYiRpwNyrNcdtL1vXHq2ee0//kYLY9PNq1zF/D+sk0U7txNbmmSqLMbI95Ni/k2jQNMa2xz9GBr9r705NLOJ0XEMDEViTtlMH1TBLW4GNd5Cw9ZW+rbI73p8kCiKoLCHCd7o008U7eSZzY9QiQVxMhMQ07SRf6OCpKhCZR2bCKy8CLaIoWoUiHQGePtuo5h6cDRoNc5Lo3WQHyfYxqpXu/vPPS+QJSexvpv/Iji3/+U6kAr7vZikCeTmr4eRY2jpkzCdLE+/RobQrC89WX+dc4X+sxCeUi0esl68t/7AMcJDqKGgoqDZDLG2ta1tlaPAkeEsS2lvGE/6yXwxUPUnCOGdF0dud/5JvPDEcymJpTSEhCC0z/2r6x3rSKux1AVbVCP8P4Yzlt7z8yFT7zdQtDzJs4SHUVNg6ngcxQRMqN4dAW64whD8sbZ+SjpEGJHkC5nMQ7TZNYdN/Fe8WSU5e/gqngVicHboQ8Z13ohilCZ4J8w6HTeB9pN1v/YBovXiyZ1CnKcwxqJnt3jsGRTC26HgkNRaOqO0h5rZlnrUt5aHOPWuZdy+dRz9ml7//jEgY7llPL5lOeU94mBH+gh8Nw2PzF/Hkg3uTLOlGU5eLri1J3ZTdiTplNKltet4P3OLXxz0XescxKqx6GXcv8r3fsMSNqfx2ek9MykmZ73cZTuTq5f/hDteW2snJvD0j2LWbVyF3cvuNcW8aMUW7P70hhu4Gfrfko0GiAqo+QF0yAk1y03qL3qVtznLRwVr/ZwNLtHL7qiSbqiSTRVwTAl0ruTl1uXY+yOEE6F0AwJKrgSJnL7TNJdFbhUpVevWbLdqnAE0X1Hul6bhmRzUxAkPP9eU590fwei14MdS2+eclNaqVtVL9q/fJ2bZAPnBVLoG7vwftjBGxc5STg1opqJqgkMKemKd/KL937OdZPu5Mk3nYdMq5MzLkLpOJnL3n+Vl07uIuKXROIBFm9/wQ79GwWOCGPbZmASbyzFbO9AraoCwLPwXLw330R5bS13hU9ndeMW9EQxTV0x6kPL9xmgOBTD8UD0PEC6o3EivjAOoaLH/AgliKpJnMQoS7g4feleAiRYek4BiiExNYULc8NU69M5YeZEaudNx9Ue4akPw8RVE83Mw+M0kICmaL35rwd6aTiQbrL9HVuPsN++cNKIZzPsX/eVZ3h4c/f7xGJL0B0RdOD3mz9gU9d7VHMliaTBrngYr1PbJz5xsGPJzhEOAz8EZLqQKv2TtMT2EEuWsG2CB6E1csPix1k7BVr9fiJ6DpFQnJdef4St+c3opk4sIUmICyn3V/U+QGDwOMkDpbfNJXm0C4ia5eR1NZB05GEKN/FgV5+Xq9GesdTG5lCyrnUtgUSAooiBGTCY2eLkrHeCnHDVrfju+GxvuYO5zoc7GK7n3ivP99AdTeFza2i+elyVr9CdiKIm0qCAO27g0CXXvZFg3Iw8dk/JYdpZJ/fq9fPrmoildLxObdhp8Y50vV4wpZjXNrYyLt9NNCvuu77dirc/EL3uT7Ze72qLIJFMKvWzt8vkt7IGb6mKeup4vvDMZgoeifCXCxdgjt+N6YmDaiIQRJJh/rrtt6BdQqVr1iHR6tKyAlqDQbQ6P4vCO1m8qAw1rhEi0Me7bWv1gWEb20co6bo6Yo8+itHRgdHRgTaxps/gGj1RwPPL/SREA/G85ykvcOB1urhr7t37Nbjr2yM8vbaRaFKnstA76E1bH6onlo7hdmiAxMTA5Y5TkJPLlfpJaE88TGVjnNK6Dl5fWIQ1r7oApxPXlBk4HfPo9AVpabJeBL5ywdn86cMNaJqB1+lkXtk85pUNnNu6h/4pn4bDPsZp43beD+5GAiI+kYdeD6GpkON0cOfFBTSmtqOFa2iJtrC+fT0nlZw04KCQnvMWNlvIzw8Rjkmeb1xDXHRbqZ16kaxoeRVHt6AjfCK5HgcIK13VQMeyP/EabFBRKOSH5DQcKpRW5tDucmJOuplxa16BGRLTaeXIbV7xLtEzfaRdXkKpDlKODTSGJA5vJz5fEWXeylHNq96/zQ6Ph5m3XcfaJ5roKFSxRuRHWb16CTW5NeiJglGdsdTG5lCypmU1z+x4mmAiQECkKEnrLHipkQpfZZ/QkQPNHNGjD+2hxLAMrZ57L5bUqSrwcvKMbtaFXiaWCmNKCYqVZWTRm13M2qsw7d4f0jr7VDxtEbTSj1Lt3XftnBEbVdlhDW6H0msgDrX9UN7wt7a18dOXtvbq9UhDOZ5e20g0laayIIeOcIJCn4vCHCfRpL5PLHc0laY1nBhVvfa6VJDQEU6gmxJNxTpOoOOLXyf+0EOojSdQ0FpAd00XjrKtmB4wMIkbUWTuC+zpglxlaq8uj5VWd5rgmjCe6ZPOYs+yDkLSjVkYA5I8u/ExBFDmOHGfnlFbq4eHbWwfoSTeWIoMR3BMnYrR1bnP4JoegcrJDxATBg6KMczIfuO3+whLMIkAvC5twJvWrbrpiLdjShPNJTiz6FpqCouY1RAg51v/gxkIgsMSpplNgpVBSbw0F+n0sPi9FFJ/l1j+U+T5JLkuH/fM/wb/edY9+xjX+3s5aI018fy2t5CpYl77oLS3O61HBPvP/JUtdji6eKX1abr2tAOgp7xEzfMQscmYvhb+8PZv8JgJksKg05HEFJKXtj3DjYEFeHNOZUJXIxWBFhpMF/+nVxPOayFRsZKkoiL8Er/iIdfhJ5ju3qfdRs4GFGcZhTnVgOwV6OyUVJefXME/Vu5GVQQ5Lm3QGMfBBhUFYykeXrmbpu4oOR4PM66+Eu+4MsJbmhCeLsxYIXm7XmHtnChStlkvHLmriXu3kZvr47H6jVxT87k+s6hp7m5WNL03op6S/gzU5lda3kUkNqCaBnpOgtXhdTSubOP00jtG3VtjY3Mo6JkhMpjoRkmbuOOSs/b6qSA+qGaP5DrvE5JgSBDs19DqufdWN24nIraxfPdTxFNBTEWgGBJv3ODGx1uZ3aKR/2PL0B4sNOFA7sOebfqHvjV0xoCh9br/oMifvLaSoLYVzREjickDS19mfCqAP2RQnvLQ6owRUNOE0Qg5vBQU5FAZTqB0qDzucJJ0pog6NdKpPHyOKZxeO5vTa4sHjOV2aRpIKMxxMZBeP7+uiQVTilm5vQNFGXwa8/7a1/Pb99Fqp4MTF51OMkfw+OI91HtnItskhcFCzGlrwZFCYiKUOMnCFzh3YkWvB364M16O5Pfqq9UL2Zl2oLVuxKjYhpl205UT4NmtT6Ao+fv0jNpaPTxsY/swMNSbcU9u6uhf/9rHq+06b2Gf7XoEKhyTyNwkcbODXMXXJxRjoP30CH5lQQ4Ap9UW75MvtWe7kBIgz5UPSAQK82sqmbclTeAb/4PZHQDDsJzZxcXUfvKz3HJKCX/ueJ5EShLNWUaunIyhdhFJaUT1EOta1/Lx2qtGZMA1hhv404e/IuqNofk0RNfl1sQI65po7I71xt7dd82c3mOoKfFx+8JJLK3bTNTzPpuDbRjSsCpUw3jGLSWyM4dUZA+K2kpuZ4wdNR7STg1hSgxF8He9DtfyEjRT59/efII9hZXEzzgbOXklqppGESp5poYMxDCkwOFUSCtmn7abShTv+BeJJk4ixzyByaWz+zxwm7qj/GnpDiIJHYemIDK/z0DiNdCgIrAeaJoiMAzJ7QsnUVPiY8eMmZTsNFAbdVLSJGxWoAYj6N4YUgqEYoAWwauOJ5YK8culb6HEpyEcXcQ9Ud7rWo4iFDRFG1ZPyXCZN+sM3ti6Cd1hgBQUBXTS7iBadQcOxW/PVmZzxDKQlvbMEGlEo2iJFGkFHEmdGZtTvQMiB9Lswa7zofS6x0C/dE4FJbnuIQfMAXQYm1nccT/JaKhPfLY3bvDpFyPMDueR9+Pv4ll0PjsOIif/YGS3e29XjP99bjOBeGpQvbbC8d6hME/n9a2r8L3cyq6gJF2yC48WB8XEANZLyXoPqA6JyAyq17XM1JwAJqhuE1mpYKoChMQNpKVAN9/i6XeWU9EtGGf42D1rKpr7dNwOF7GkgSlNFCFIpY1eB1SvU8ulsbkpyLPr9pJI6UyvyusThtKfgV5UBtJqrljE5V2v8dgH7ZSEO2jPmQDbNJjyNlJLIxQJSpwX9z5Akc/VJ4Z7uKE9B8K0s07G9Xg70ZIGcCQRUuKLmgT8EUz3TjrCxbZWjxDb2D7EDNWVmK6ro/vur2C0d2B2dPTxajflle+z3Z0XF/D7TSvRJCSNJNM8n0RPFIB/8P1kC36O0zGgod2zXTJnHUl/GwKBKhTka28S+O3zlkfbMEBVUfLyyP+f/7HSBzUtxxPwUOjMIxTbSyQdAIdAUQSyN+vI8GO+6tsjvLxjPVLoqKafNN2Qs4ot0Q4iMh9VyUU4uwiKnfx9tc5N8+dRGWxh+6sr+F3QIFy9AhmJIDUDxEfZThQjjY89zN7SQNsp0FHk6E2hJ1UBCPT8boqVJsJUsKewiuquRoQ3gI4Kpo4ggRpI88nH9pJ0K7h0hbYJuXw4r4bNPomppjF1D5q3E4dvDbmeejT3HHy+GKZnC62xYtLCxJHbhsslMGSKlFLJ5NKThjwf2eet98UpEwqUSFvG/uRSH77CPFIqePfsYXbLVt7vno5e0YDoOQ8iRXe6EbfIQ6aKycsN06g9w5LGFEkZ5oSCKcTTVqYbPVEw4u7kga6/M09fiNnWzhsrH2fPhCQmOmagCxnczZ0Xn23PVmZzRDLYRF49AyKDqW5yQzpCwLVvppk4+zy8N980oGb393gu2dQy5Iyv/Q30/t7MgdrWYWzmF+/9nEgyNGB89hkX3N5nwOaBvAQMdp4GerHQTYkhTVTFEtlgLM3Taxs540RBU/MyNu1YzxpHK1JNQoc1m47qMpFlgKIgMjNZ9kFITCEQUgKCzFQDIEAKBRQTUDNlAUzCapzXUx+guiSKhLz1y0hv/zuR0ETSWglK6gS+dPFp5HmdfY7VoSi0BuIgoSLfzc72CC2BBAU5ziGNzezzMZhWA5x92Rm83r6SuJHEa6aRbUWkzVNITlsHWgIUSdKIDhjDvU/o5wHEUw90DdXOm85/7m1mxaPriOV0sOFklcaCbkg5KS7byqKSc5lfdYKt1SPANrYPMUN1JfYOiCwqwuzowOzq7PWQZG/XGmvk5R1v4PV3EjbaESgk0mle3byJVetzewV9oP3sL1VQz3bevN0EXCvomfGKtMHu1YuZlJmgRgJKfh6h//pfPiyfzuT2CA69lFhCktK6qSrwMSf3fNYEghgk8WgeKz57mHGL9e0Rvv3sUuLaDtLeBPl+nWAqiOkM8kF0C5TmI9On4yx9F0MYvNv9Npt/v40vv/IEuxUfifNnoKZjGEkP+GOgSKQQKKaJU48jgx62+05CtpXiql5JTswg6VIwNcVSdlWnqzKOZ49BdVcjVcEWPrX0NZ4oK4Z4GoHBtU+1MnNz5KMnwfvduDcWs/WshaRnrUG4O5DSJJUKEU4leHXDY3xoNJJbkSSR0nEpgs5IHLcaBD2X4tw8NPf/z95/x8dxnff++PtM2b7oiw4SBEFSLKIoUpQoUoUSZTVLbrJk2XGLYivXiZPYubl28v2l2zfV99qJc5PYTpwojm1ZstUsq5ISVShRotg7CYIgComywPY65fz+WOwSnSAIFkn7eb1kE7uzM2dmznzmOU/5PKuA8fquE123yV6SI+9xY7tGyes9DB2I8uRCH5Y+fIElaCmVuxZ+gSe7UgQz+0G3qfZU05WIcSp+EofqJBKX/McrZ59nOtn8u/5D97KiL0Lb4//JgWWlvD7fZHPXSzgyB4a96EXyLuLSwkRzOeEcXRC55FCS694M0aBWFjpETuQx3rC0dsLn+QOX154TX4+sT9kY/D6JTBTLNsflZ3t+7294u2Up80t9MIJjpmr1Pl2+nmxh4dIV/uXFo8TsLoQeJCF1XjmxkZeih1BFEss9Qu4kb1SLnOWsWTamljO48+3OQYIUKAULPPd3/p/CthFIBBZWns/zux3+H0tAxK9gaAYycARht2GZO3l5x4tc76mgZeXdEFg3qmbo6Z09WFLSWO7hrpUNoxY+Z+LrB9a3TLqgaQ74+LPPreXInjYaD+8i8fPH6bBdHD2h8M4tKqbDxFZtMlYSWfIifaFynEr1hIuimdQETMbVi+7eQH3vcRL//kMqSsrZuNiiFC8JdwaH/wTNgSvPuO8iTqNobF9gTGYgjS2IVOvr8H7mMwUPxPyBeG6FnewmWfo0e2I6mUgCKeUwlwicmkJoKMvWtiBrWqumfLgnewjnV/uwncfoVTaDGDa0JUghEV5vztPg96G4XES+/ud8o8tFou0IuipwaApS/wDCEeR31q/jmrmLuD22eFSO9qbOyUOWIwlrW/dRov4nUVWJtCTVzmakkiFlpnJ55l4bu7QbS0lj2xrCTpCxujkhXcwZOIFqLiOrS7AzlIVMbN0m4dWQAnRTYkqbSrIMVPhRvJU0WhpZGSMuDXSpYCuCpS1uFlcHSS26if2KxdwBi9/55dv01DqoO9RPbW96nMtlzlAPdrqcTPAyXDW7QctgKBZhO81Lxzbic3qoC7TQrQeREurL/JxKRKgvL8GhiYIneSxpTkSIG5bWTvqSLNzjpbWkPN/iin/4C15KSsKluZeSFDB0tJHHj/fxhQ+t4GTCyauDe5AiQ6WrEsM2UIXKk+2PzihHbypvWd/KtRzftAujZz/KHIWS7hAxv7/Y7KaISxJj57LPF+HJYy8SSYcIiwwBw+K6N0LUyxJKv/kX0/IY559nn1OjN5xmKJ6ZMV+P/F1CHCFjZlBtgTRH52dH//Jv+LtTXhIdbaQNC4em4HKoBY7ZsLR23P7PlGc+VfFmfmHRHeti8fLdRE+9im0L0BNY2CAkVt54FiMN7pzxrEpJWcQg4XCRic3FkxWk/WUs1bMsSacnz9nOpKkesjllDTLUfZS4arBviY+EV8PSxPDhJNbIYyo2iiPJiUCSbquLX+zax+otc7ln3aeYtzRndI/N9R55Dc7E12nDnnLR1Bzw0bxhBWxYQWrRHPjzv+Up50fgSAhr8Q5UkcFC4HPBisVhPr7o5jMuvM6VqzsG4hxpuYrK6o1c9tpeXptbW+wueQ4oGtsXGJN5KvIFkX1XXEO75WTJrddR+8XPj/vdzw8/zr5YljJ3BZG0BU6wbEEoJunpqcXOZnh6R04/dLKQ5VQPYNA6SLrycaRtnv5Qgj9scdlr3aMWAZsHNLp3HUVVBVnDpsznYGFpI8FYFfF4KTBexi7/YPeEEpgWhY5m4ySaVg6CsJGGD6HGuayyldTQSRKZGNKycGVUHEFJtiWGEGBLUA3BnKEeNFcIb+3b2FknDpnl117N0F8qeek6L1W2h6jbItokiNpLcfkSOKvaOEUGn6jGB1jSRBUqfbKPDq9BomqIak81nuUefvsTf89l7SHweLDa2zEHgtihEOmNG+myHXT6a/jQ3hd4ynMtssyFlDY4bEiUElMM1HiUgaFdOEp9CIeTtMdECEk0G6dMlNJc0szhzvGkOZUX+0yE6t5wM8vmzuHW51/gF4n9SHeUWGQJNZ2VZNQuojsU7r3/Fq6NVdER7WAoNchzx19El6Wk5ACmZxd9SSb0ppztPM9rusaW3EbWWEqV6wXCahJHLDFjvfgiijifGDuX90Q2kjRSNGQ8RBMplvVUcLx2Hu5br6Nuw82T/m5sUaBtSw50R0DAG0eCfOkDCwrSdjA9vh55jLR2hMc6niWaCWNbFr6E5DOP9rF8yEPZt/6KA7VLSHS0EYxnSGdz9TbLm8qmzD0eyTuWJRmIpukYOC2XN1XxZnesixd2P8rm4JtE7TRoNoqt5GKlUgx7r3POCsWUqFmNeW0WLckMJXGThoalGH43Wric/zKWY/v8lOHmgbsm966Pvdb5GqjOwU72aVliXhe+vkHkth08fb2fmI9CtkkOEktTSGmSV10dbN/xv1n/UoD13hW03HA3zUtbC7rdY9P5zsTX0y04dW+4meCAjfnmCVwDVYTdN+JregWcGVJGlIOJlwlai2nmtKGbly60bXnWtS8TzdOR99a4+te4ac8mLj/Zw1u+WLG75AxRNLYvAsY+dHmv9omsyj/VrMNye3jGmsOfDowmwKB1kIOJTcSNCEdDUeq89Xxp2W+TttLsb9d5ridDbcBNcpg8JwtZThVe2jWwC5CUOPzEslGIeVAH6rBONWI7NuH79D2ndWMHOgp1KUIBVYhpVco/sL6F7zx7GE0R/HBze0FZYyRhlaj1NJb7SGazeBw+1uuNrNlRyTttu5GpNJXdLh66pQkMHcXS8BhJlqU3E56bYduqVgbLy1DMUgxHivCHb2XdkqvYFfwFhm3iUzTWLlrGod5+Lqut4J2IQtIEh6rz2SWfZ3d3P9u7OunJbkMIga1ZCKlh2SY9ZTbz7r4rdzIbbi4QvP7BT/EfW06QNSx0bH5L7aV7s87hKp1DlztQbRNL6qx4xcn80DEaTmUIVrv5yb2NWJ4SIopBtncl5hXlzK8eL+80lfE6nRw9vbWV60pr2fTQG8TaejFdpcT1CApg/se/kQooNG64mUZ/E2+dOExv6Bls0YOtRqgsl+gVA/zGki9PO2dzMjWDY/1xElmDIcVFVjZB+y18pONR6mUHR/xPw7q7iuRdxCWH/FzujnWxce9pr3ZZBrZkr4b5NRNy9mQGVnPAx11XNvCzrSeoLctxdtqw2bC09qzTAZoDPoLWQR5655+JZxOYlgKmi2zffCoSAv8X7sG94WbmD8SxbIlh2jg0BdOWZ8w9HptG8czuk7y4t3dC722+eNPni/DS4e+z+eSrxJQMlpL3IAsQNgq5FBBh2vgSJvM6VY6Ur0Gk5zHoreOLi7O0rLxslJKL80g/29qHWN1SMe5abDnSz6b9fezrCo/y1DcHfOitreitrSwBPHl+utqHeXUnz7y0DT1xAssxhOo9hqWbw2knp4eb8AqedfXzevwZ1vzL4yyuvZV/19aRRMXrVPnmvVdMalifC18v3rAGV7dNrKcXK1wDyiJoOowiUoRFrunN7175e4Uuk/n5goQ7rqg/o1LJmbh6VGGo7eTp5mvxZTrRjU1YVhZVcZK1ssXukmeBorF9EdEd66Ij2kHg1XcojcXpWXI1psNJTVUJId3Bsf44mitER7QDl+rKSUxlIqiKikfzsmHOLVSpizk2GGdZjcLb3naSI/RD85hueKk71oWu6IAgkY2DAeLYcmpP6Ax5SuisbGLFTesL269prRrV+GCkZ2aqBz1t2Lidak70fyDGP75wmOsWBgppMpb3OHFRy+eWfZpETwfVL+/F+b9+F8fQEDebJghBb5MfT9UesroGmk3GBYdXl7BzrR+H4se2k2jSgWXpiNYbmLf0Sr4Sm0NHtINIXPLvu/8bKSwOtGepLnEztyTXxXJ3dz///ZwTSyvH2yhwOs3c9TDSuB0l49Re8iSXyliopeUFPVf1+nV8xnkbR194nb/qNMjKkzgjHtZuf4TGSASAnjonlqWTSVWg6AkGohG2bD3Er9191YREPZYQZ/JS/rPPreXgpq30/vRRnpq3DtW2eKTlRmr//G9ZRs6rEo+X4o7chVq6l6h1mBK9GkWLY2j9wKIJ9z3dscyv9mFaYEjQNQUt4sfKBnj6ukHsjidwir18de0fzagos4gizjd29G0f5dWee6qGA2YVNTWnOftM8zVv6DRVeqjwOsdx9tmkA3THutjet50n9z9MLBvDUgEFNEsghmrprAwXOLs54OMrdywq6FZrQhmXezwR8t5bZVietHswwX+9fpwNS2tGGZnz6jPs73qMzftfJSYyuZSNEe0nFUviSgpu2BzD77TQFy3iytJlnLjuJjqOJglU5s63e2kLi1pPp7R0DMQLbdP3doZpKPcUxrvlSD9//MgeDMvGsiWLG0owbXvCdJexOfL4FzDXnys2vDOQQPRt4uBQL9vLoqBnC553WxVESnVeXKPxcnobQ0EdBTeRWDVb2xq4/9rmWefrsVz95NLLsevbMJwCYZvEMpGCwR0ZbBo1XwIlrjMa2mcaR34B0RdOgRDUlbqI9Vdy5Rtedq6LEi8RxESETZ0bqdUXF4vbp4GisX2RkO/OaKQSkO3ksyKCs28nckklAyV+XMO5gd/Z8T1M2yRlprClja7qGJaBQ3VQqy8eV4QxkbF7pmrzkeMxbZNS2024x48yMIfBzFIU/yBeabHs1z+B3to6alU8k8YH+fEcH4hxKpwmGM2wu+cY61cnOBR/lZQV4skOm+ePKnzk2QFaN51EmsNpLULQXVrL89fUES0z0YRCVgUhBFHNzmmeKGkUw4vIzKMks4rVjQuA0ykt/7r1l0hh4RKlpOQgadModLHs7fdhyywuqol13oIoi1Dh9vLhxbWsbrwMM13Ops7eURXmAb+Lk0YSwxodwtMDtSxpbeWbA3GO7Gmj7s2XqXTaSIcOWYOGk2lMRaC4h5CWg2yiiu6HHyPlidK8YXxO3ljMJEevOeCj+f5beBZwvXmCivgQQ+5SOhQ/jX/wB/CtbzF/+dW4ZDWZyOUopScwiOJRHFOmeUx3LM0BH1+9YxHfefYwqqXiCBmozgEsTcWVVAmFozx/eA9v7KgsNk4o4pJCd6yLjZ0jcrWTBivf6ODo5TDkKUWfRuh+osK5sZw9Hb6GXDOdH+zNyftFsjEsoYEtsSwnWvtVODOlLPv1T9BTWsux4bSHdQurC5HEs+Vs25Ls7w5jmJKN+05x5FSUj61uYlv3URLmW/zjW9tIivQERjY40oJVhwW3bh+i5YYP4bn34wXPtXMgjn5s36TnOxW3bGsfwpYSj1MjljI4FU5TX+ZmfvXoIvOx+4DR0cNrrryW5sAHANiydTPP7X6cY56jpFwSSx2uc1EFGa+Jx7sFO+NFCIvtJw5y3bIv0BxomnW+HsnV7jdP4N7bTHDFUVAz2NIqGNyfaHkQXXFMO31kOuMYG9FIGRpaf5Brd/ZRIbM8f1MVqu0mpmcK0rFFrp4aRWN7ljGdMNFbJw7zzPFniWbi1EUsBqXNoeubeXuuSVngELa/n99Y8mUMrR/TNql0VdKbOIUJVDgrMKXFFy9/kMhgKYY9OKoIY6Iil5Ehrcm6enVEOzBtk7K4JDwQQwm2Un1CQ/EPceVgOx+//yYW3b1hwlXxRMecCvnxfOvF14mIYzhUJ6LiNXaGU5gyhQ0IYZNULX52RwnlXaGc6gfQXdHAP934AOnWU5jqdnRVAZlFEcqwlrZASotKv4vbWz80oTxRvXcOtq2QJIIqnHyi9dOU+gTNJc2cOOVk4449ZAwLlSruWrCSO1c0nLHCXFUF118WoMLnHOcpGln8Ytx/N5mXN5M9chSx82VUaQ/rxUo026B0sJfQV75Cx+c/Qv/6y5m/cA2N/iY6BuJs6z6K5gqyuvEyGv1N5yTZlQ9ThjpBM7LMCXZix0OE/+iPaPjJj0fkgZZxKnuYFYEVU4YLp2sgAKNe+I3tkuQ/Z9mKn2OVpZARPLMliZQ+/C4HiaxRbJxQxHnHmXi7YyDOzw9vJppJFLza151wsTIeYl6r4NSNi6dlvE5UODeWP8emIMD4/O18M53BRD8inQVVAVNDMwVax1Wscc/nY59dijZnzqQNa84GzQEfd61s4D9fPU5GsVBETsLvP996HiuwEaElUYTNWE+2Oykxhhajmis5VFLFPd+cS+mqJeOu+VTFgy5dIZWxOGkkxzVgW91SwZPvdJMZLvi8+8p67lzRAIxvqjOSn5oqPZM2h1m3Zj3r1qzn+P4tbNz1KK9px4kpWSxVQUgFkCiOBEJYHJHb+P+e28NvtX6eNVd+uLCPiebTVBw5Ha5Od4JnvxuxYCtpt8AmZ3D/rP37fOLGB3GZC6c1B6fL1fl5ki8MbWy3KXnT4GjMTcyjAQlIpZAJm0a3VkhfLXL1xCga27OI6YRn3jpxmL996/9giwy2GiGeFrilzjFDJ+VUaKhsIKykMbR+mkua0RSNofQgbt3D/Ys+SdpKF5Q9OtT4tB6a/IPs0pVCOG7s+JpLmlGzJsGeY7gMyMa8DHnK8EizYGjDzCuex0JzhTAqfoWTOEJNoWhJbKmAsE/TtQAbhYOX+Vh2NI2oKKf/Y59D+FqprZhDl9mOQzcQEjyan3A6DJYHG50bG++nwlE34bV48s0UTvuDmOoAn19zNR9cdEXh+0Y/fPO+5YX8wHULqwvfTVZhnm+ys/XY4BmbDeRzCAH2bn8U3+Gfk4j7sZ1pqjjOlV37OOVK8ZD6GtZbW3Ec/gUfb/kffH9/nKj/SRA2Tx/XWFxyHdc3Xc2Dt5Wz89QRrqxbeFYhy5Fhysp/+GsaIr0gBPbgIJmXN9P8xS8Mawk/gWmbHBo6SK23dtL0jqmKwSZC4YW/tJZY73EW79zMwJIAZX1eQrqLIFkGY1kUIQpFtEUUcT5wpmclL0Ma8W/C1kJEhEWpoZI65uZkwM/yW69jSev0HA5nsygF6AklJ+TsHX3byWQSKJkslgBv3CTbuwQl0oC7agn3fW4tzYHT3RFno2FNPm2wO5RE6kOIkv3Isn0oqnFauQqBYtn44yZr9mUoqbmbFx1XEagvJRhLc8JVQesE1/yB9S0THjOfQqKqYIxsBjOMdQurJ+Trsec9Ug1k7HtwMr6et3QdX1y6jjvyhZ4ntxA2FIQrjSDXu0EKCIsM/7j/X8i8toW1dz44Sl/dtiV3XXk6VWeyPO7pcnXV/3uEoXdO8qP760h4VCxhEc1EeKzjh/zF2m+Mkk6dzIA/N67+In37XkZkbBRpk9UlaTnIwZ4IjeWeaRdlvh9RNLZnEWcyRLtjXTxz/FksJYGGm2zWTSTeSG/ockKeGNLzDpqdxKM5Cgb1V1Z+dVx78zym89CMyytWKeQVj8wJby5p5sGeBRx9fQ/1HVGM2BN0NbRy+Zc+VzC04exfFpN1Xvv5kUfJEmFeVYC+eA8mNnrWJKMPNyjIF15is7hXxfebDzJw64dIZD3YO3uIRp2U6h/nI5c7aSov452OXjYfGKLEIxgY9PGzDg2/+yhehz6KvPL3qMk/h2CsGq9SM27M6xZWjzKypzr3Qj6jKs76heZtaIahEqoyJjIiueetLWieCK+tKSftFASCKcJWP29u/T6JRWuhxMYydQbSvQSTz/H6yRco9Sl4HW7aOl6moeJ0t8fJ5uK4wpj7byFy/B3i3+8AVQXLwhwIArC9bzvhTJhqdzUpM8m27kM8/Zq/oD4wNt9zJh4zgODaxRyST2I5LQZ9KrTVU+Wdj7+8hKxhjWoAUUQRs40z8fax/jgp7ShCNTBTFdhKkp70cp6dO4ctlaX8WWktzdM81mxwdtA6yJPHniCWjYEAf9zik4/2UhGH4G/fxuINa846JWXksaeSp/vmfVfw6BtP8U7mMTJKClsZIX9tgzducd2eJDfXr0f/1P28M8zXY48/8pofH4jxV0/ux+/WJuXr/PlPxAUT8fVUaiBnuwBp9DfxwHW/z62xe9m663WO7d7FjvI9pNyn31VJl+Bfy3ex/3tfQC7/EkOJWso9DtoHE/xs64lCUelEHHk2XJ0KKIT/4A/4zMOn+M9P1ZHwatjYhNIhNnVu4nNLPz9uDs0mV7tuWs+yV5/nNUvF8qYQCEoCB0Eu5K6VxSY3U6FobM8ixj7gLl0phP/yHccGU0NINYIhYyi6wDFQTixbhjstIfRBlrc4uWvp6ZD9WOm8sTjTQ3OsP04iY+LUVWwpkZYoyO4l7D6+s+MhTNtEiSX5zKMHuPJwPwBKwMPy//l53COkrPLHm+6qeOyK/cHbyjkUf5OXOjcSz8YxpUlYhikNW+hGBlMBTVdJeYenpSK5IVbHzX/9XXpKa/nrx/dh2OERFdfLC8evUuNs27OPaNBgcCgNGGRMG/yjW6Cf7ctnOuc+k/Bgd6yLhw//FFWo4IQvbvgtygIdfPfoD0gpFkPlOkKCM2Ojn5T0B0rxlYLQI6hINKFjaIOEs5CVbgSM0qmeaEyTeVA8936c1LPPYnV1A5B68gmCV81nk/YKkUyYSCZMnbcOM12FYacKrYt/trVz1EtkptjjHCBb4aLpZISYS2XFqWfZ4fsI0tOCx+0uekuKOK8YJW9nj5a3A/D5IhjuPVgijuICNenFCDfiwsby+c/aW3yunP2T3f/MUGoQ1TTxJCxufmUoJ+/3V1+fVb4e+1x3x7p4bMu/83bqHQzdwhYgEGAL9Kxg9V6TD1ddTeuXPjvCuxueUCFjpARsMJoF5Kzy9VTnPdN0jkZ/Ex+//pNw/SfZ8twP+Nf+XxDzCmyR+y/h1Xjhag3b/DlR6yYGTs1HUUVBbWY68opn4mr3hpuxfv/3WfZnf8Z1W8O8uL4SKQQWFq92b2bDnA00+ptGq4nMIlfrra1cs3gVh7c8x5Z1JaRtH7Y7jaf0BGtaPzDj/b4fUDS2ZxFjc6NHhqruuj5G0kiiqQqqUHCabpJZAS6BYoBRXoFfD3D7/GVn1UXvTLmGLl2hL5LGlhJFCD61bi4v7OlFcQzx4z0vU1oVpz7rJNh9gi5nkmpNQynx4//CF8YR98jznM4DO3LF3hXr5P/u+AEZEcTGRCCQloplqoSCy7j+nS6qRAd1kRBPfKiObKUfj6+S+279U3R/07hubGMrrvPX/ont3bx2qJ9IysAwbUyLUWR6tiG06Zz7TMKD2/u2E0wF8WpeNKGSttL0Lq0Fex61A0lEtI/FhxMs2CX4txW3Y6fLSB2/AV/VKajcjaENDoduBVkzi+mwRhUwTjSmyTw6emsr3s98hvi/fg8Zj2P3D3DooW/DJxaxoGIhA8l+bpnzAZaXLuC5bfsKrYvrylxTavROB92xLp49/gwhLUO4VhIYSLK4d5CKpifQKj7B2ts/UvSWFHFeMaoYbMdoeTvNFWJv9FUCpTrmYAVBEUcZmA+ZcoxygWsGi8GZcramCH66azMZ/yC2bWFpAp+Ey3u1WefrnlBOcWRhrZ81rVUErYN8+43/Q0zGwSmBXGqXsGzK4ya/HlvB2t94sJAidynw9WTnPdN0jpFYd/sXqd+/hBe3PMRmTydJl8AGbFVBqkm8czaSDp7CGV9CMuM7Y270dLkaQC0rQ62t49odIbatLCVSqqFqDmwpC1J8o9REZomr81ADVaz75QAHlqsMBAxsVae0/DCaKwQUuXoyFI3tWcZEoaqeUILt7TH6rX6ktLGx8SailMVtrtq2nTqlA/1/fImFy1vP6kGYDjmkDZuaMidOTSNjmiQyFg5PiGzFM2TtNIOpKCKYwpm1aOhOgGkjXC6cN60/52sx0nsxaPXgyiYRqkBRQSKRwsY2S4hkl/FS0+VUJsP87sCv+J+tn6N3ae2o1JnpeDiaAz4+sqqRvZ1hHGpOR/Yrdyya0DiebQNuqvCg16nRPZR7ed220sHh+Ju80PECMSNKiCF0Rceluqj11qK7vcQanfiyfm7Zl+SgHUW1LZyWgZEqR55M4qowySjDzSBQcGlu1tWvO+OYprqGrpvWk3joIeyhITBN6o4OITq7SQClpeXU6Is51h/ngfUtdA0meXpnD4kJZCbPFrlFxwASJadxa9v89J4AjmwKX+lmbnDdSJHAizjfGJsO1hNK8ONt2+l1PIZFhlB6gIpUmvqUzVVbDlKn9F9Qzs5LpZ7IhrAtC820kQpctT1CXcIx63x9KpTmZOgUL+3v5ReHfoksfYmszOa6oovhLoymzprdWT5+4wO03nrvhPt6t/P1Z6+bN+mx5y1dx4NL17F855N87+h/EhbpnPQioOgZPLU7caT2UZ+9g7vWTe00OBuu1hZfBoqgpifNJx/p4Sf3NRD3Q5QQTx17Es2qwGUunHWuhtNdJStKF7H27U5evr4cvwlJV7youX0GFI3t84SRxDWQPEV28AC22019WTmZcB9XHB7kxhMeqk+exP/A7fg2rDjrY0ynWHF+tQ+vQycj+hHedmKOUpJKCNs00CmnNJth6dEQ120ZombQRikrpfQv/mJUQwGYvhj/SIz0Xmw6UostFYRiga2gplXi4aVkQpdhZsrxWH3ImlpCH/8mqzesoHWSfZ1pDOfquZ5NnJbLimCYNi8dPcB241kURwgLExDoiobf4Sdtpcfl6NfMz5D+8tdwmxlIhEnrTrTyIBkT0AElt2jRVZ1Xe17lnb5t/Nr8351U83Sqa6O3tlL6F39B+A/+ADsUpvZUis/+VxenFiQo/cRX+f7zIQx7sGAgTNa6+GwRimfImhaIXEe7kw0eQOLKStRsrNjCvYgLhpGc3RfOYPTtxfIHaamopzIbZklb5IJytmnbeB06cyo9bDk8QKeyF6PsAIotkYqgYshg3WH7/PD1/l6SGRO1dA+Z0pcBO+/MznVTz3pxda9j5c030DrBdXgv8PXGfb0cORk9Y/+INVd+mMbWlTz/6r/zYmQbSWf+G4nhyrJffY7OFyUN5b827vczKWIcydXLDofZsDnIxpurSEoYJMj39/4LvtAnccnqWeXqjoE4f/zIbhJZE9d1v87ndn0PN5KTFTYyEy62cD8Disb2eUL+Yfnxtu1si72I0AxskSCRdFA2GGfd5j6qBgyUec0z9kpM13vw4G3lfG/ffxAx+9kWtsHvR0gNnz6ICIVYtDdEzckkSnWAsr/6q3HhyLNtnjL2+NcuFmzp7SQJ2KYL1ZSs3ih4ru4aLEXNtVuvrsNZVcrC5WPN7NH7ms5xz4cnZCZoDuTksh56rZ20EOjuQWwySHu4sAaJLSX+Ec1yRuXo++GKf/o7vvbwL3njnb0c91RxxFEBEmyZSz/yulxEM1F0VSecDvOdV59FT1w96X2a6tq4N9wM3/oW4T/4AzotJ3vratBkiGMvPEVi+TrKSkuJpJNs63Zy75VXzso1zsTmYhkeFD0OQg7XxQrSuiCUSiG6LGg458MUUcQZMdLYfOP4YaySvdgiQUf0KLXhzAXl7LHpiNJzjGzZr1BFEs2wcadt1u8xueyP/nbW+fojqxp5p32QpHIEvfq1gtKIBGxTJz1wOZ5wK2VVi97TfK0oEEln+c6zh3E71SmvZaO/id/44J+zdOeT/OPB/yDuNE4X+msZYtXP8vOXE/zBfb9f+M10VEimw9VLDyd54SaFrJ6LDKLEUUsPYA7ljOx8J+lzxda2IN2hJKoiCNlO9pZeTe3+nQxdmcVwSUKpoWIL9ylQ1NQ6j2gO+FgyL4tQbDBKUaxSlkZL+fxTMZoqWlACVXjvu2+cV+Js9v8nH13GZ69vmZJQDa0fW03lGr4g0DTQ43MwomGUrMmvbquif0HVpHl/I70x+e5ckCOLTft76RiITzrG7lgXj3Z8D2/lDhx6jMCgRe1QFIfIEIgHmRs9RZ1H4YaVc9+TgvhrWquo9DmRUmKmKhEy7/bQwPJxZdmtfG311yclJ721Ff9vfpGt132EttpWgkoLkZ4bsLI+rIwfGTMQ5IxUW0osW+JzaoQSWba2Bc96vO4NNxP9y7/nH++4l6c/6uOxDwZ4ef0QqbKXOOn8GSn/yzzX90+807tt5hdlBEq1WtInb0aaPqStFF5QUgiSwsP3Xjsx5fwqoojZRN7YVH0dmDKDZgbwGzprd6UuKGc3B3xsWFpL2rBJi37sik2gpLEVsFSBbtisnHfDrPN1/tj3Le+lovE5VJErXkSCsAXuI4vxtS/mppZF73m+tmyJIhRURYy7lpOhtnEDWuQz6N2LwHBgS4FUQWoGr6qb+OGP/rywbb4QViAKBZRnA/eGmyn71rewnXNJhxaNaDNvE1F2gz40+8Xlw8ewBbw2dyW7PbcQ00swFJHrDGyadEQ7ZveY7xEUPdvnEd2xLsKZIfwuFSEy+BUPtz5ygMCRfgz60c7BQ5LHdLwCLtVFPBvDkiYIiW2ANmTg9WYJDGYJl+n0NLhZNslYzqZaeiw6oh1kIyEq23uJ16kILYkrbbL4eJzdS02YO5fy0lI+sqrxPUfcMCyXde8VBcPX47uMn+56GduWuMwFfPbG9WcsiD3WH8fy+Zhz2TxSJ4Kkh+pIp29DlHYjRIiK9CG0Sg+au4pIXwsH+iIg4OkdPWdsxTwRuluWYnbsQ1Ey2M4stgKqmkIKgarGCWVifHfnP3DPgo+zsmbVOXkx1rRW8fTOpST6A1iuYyjOTmz9JGa2DF2JkXDv4q2d9TTfWqx0L+LCoC/Zg16+D8VMIkjgHciweMcAxsDJC8bZecyv9mG7jmPaGRAKimXiSVnc9+QAcz4yZ9LfzJSvu2NdPP/qv7MpvBXTIRAChAG6aSM6rsRhXE3J3HI+tuG9Z2jDeL5uqvTww83tZ9WdEVHHXPdHaevahZi7CaEYORtVgSecOyl76O/52Of+17hC2Jn0E3BvuJnggI26Zz9qbTeWK4tigtsB61clZvUe5bi6h2TGwpYSl9RQIz7CvcvxznkDsIlkwrhU16wd872EorF9HpDv9rex74f0x5JIaeHOXMk9KUFt126URYuwhgbPyUMyHXTHuuiIdjCUGqTaU4NAEM3GWRJqZsXr7/DczSbhMh1NqFx2/4OTjmW61dLAqG26Y1307t6K0dONpVpUDZisfSvM0kNJ6k0vrbfNp7tl6UXP1RuJmeQ6ngljX67La+ef1THyL89BG8qqyoj29BETAm/gEIgMRgpuef4k6377y7zlb+BniRNnlJsai5HnPb/ah9MMkFYVwEZICZYJuoopbSSSUCbEo4cf5dWeV/nKyq+elcE99hp/894rhkPm6/j+a28TVn6BUFPgTGJUdvHL0H/SfGIO18xdNKpB01R5lEUUcTYYOa/+5c0txD0ZBCW4Rbzg1bY4/5w9FkHrII7KHaTTKTAtSmMWn/z5KZYPeiY1+s9G3WLks6i5Qnzz1T+hN92H7VYQMtcF0puy+Owvo8z93C2XFF+fD66G8Xx9Nu3tR3J1iWcl6cE02cArMFzQjmrysPoKNc+VkW66e1Qh7HT7CYw978Ub1uA+FME+vAL7sj0ILUHGivHWwCY+EFt7Ts6Qybk6l94UK6tAWEOQHlZKcVns7W3nqtrVRa4eg6KxPcvIexAS+n6SngSK7UdzRDDsQY5v62VhMIgVDM6Kh2QqdMe6+M6Ob2PaJra00BQNVSgETCe3P7qJ6sP9VPc5OLWoist+7UvjqsnH4kzV0i5dGaep/cihfyB9og1pW1zzVoilB+PUDlooNdWUfeuvqNtwM4vO2xU4e5xLruPZ4GxzFMe+PI+/vJXvdL2CdEZBClKaTWepwapnn2fN577Gi3tzxU3TrT6fqAHCF65cys6fP8uOFRE02wAETX0pdl3uK0QrU1aSlJGkI9oxaWfJqY41UfvohvL1vLXTydt7v8+xOTa2ZhBVsnz7pV/yO+vK+eHmdhIZk75Impoy57gmGEUUcbYYOSeTGQvcKrIkhi1tkpZFoCOMcXh2vNpng3d6t/GPO/+BeDaKljVxpyxufnWI5UNeyv76r6Y0+qejbjH2Wbziyj30ZgawRa6mRNjDhvZzSa7/Uq6W51Lh6wvF1XB2fD2Wq+EKfvhUhl0l20AxQUDGafGPoV/wQZeC17G0UAg7U65e01rF/6qOceCRvbRFg7y9zo2wLPoTp0Y1uhm5j9nhag8HN20l+NPNPHc3xMokaQRPHX2OSvUynnwzVeTqEbgkjG0hxO3APwAq8G9Syr8Z8/3ngb8HeoY/+icp5b9d0EFOE4V8OWcjXajYaoisiKI4DbatDLMqsZDq40Pn1UPSHeviuY7nSBpJ6rx1DKUHWd90M2URg5K/+zbVB3tB16k3vSy67rP4zmBoT4SxpDK2yv61rrcJRXqpiGdJOQVlYYPalBPfb34az70fv6DeoelitlrRnw+MJLnm+26hffMxng7uRLEsDIdgzxIfnbE3+b3/+jv+aP39nHBVTNuTkD9vVQiOD8b58ZYOqktcfO22z3PDP/whXd4sDT1JgtVudi32FljDtm1SpsH+dp1/3bsbRRFnfPGd6Ro3B3xo117GiR4fx0jmPpQSK5VmW/sQhm0Xmn04Na2QR3mp3Kf3C96TnO130WMmyKiDSMuJYqiUJcJY8xpRhs4vZ49Fd6yLH+z9PolMFMsyQQHdlGfU1J4MZ/J2n8zs5fWu57GRuboJCZ6UxQMHq7n+G39+yfH1u4WrAf7yN/6Yxx76ex5WN5Nx2khNkFIFjw0+xscWQkPgg+fE1S/u7eWPrrma6x76V1KDWRTpwlQVpG3zq6O/okpr4YOLbqBjIJ7Tkt/ZM2tcXeNNExkY5Pj+ANtXq2hZHcub5pUTb2HYy4pcPQIXvUBSCKEC/w+4A1gCfFIIsWSCTX8mpVwx/N8lSdpw2oMQjfopjX+Yq2pXUaaW0dofQzHTnEifRPH5zpuHJO/RfuvUVvqSvXTFu1AVjVU1q1i5I0L14X6wLEilQFHPeRwD0TRb24K4dKXgOUEf4mhwI1FSdMxxYSuChn4D36c/Tekf/eEo4p5u0c6FwLl0l7zQuG3VnTR669CtnJ/Z0hSClSrbdj+N76tf4gZnjtS2HOnnO88dYsuR/kn3lZe8auuLYVqSRMYkkTXoblmK/2tfI1rnZ/+SEo7MqUJmvWBpYKs4NQ/ZU+t57p0M3YNJfE7tjEVEZ7rG+fl73J9EkRJMFZH04YrUsbqlAl1RyBoWihBkzNnRji3i7PBe5exgLI3THaGi7jCalkbRwjgzaWq2Hz+vnD0ROqId2NkMImuiWDKXp/14H3UJfcbjaA74cOkKT2zvZsuR/sJ5n8zsJel/mqyVGtbPlngTJp9/Jsn1XxhvaF8KnP1u4mqAj33uf/HbQ0txZW2GdQqwheRXp36ON/vWOXP1CVcFZX/1V1x+SsUfsxDD4ce0neEHe7/PU3t3843H9/GzrSdmjavhtOb3qr2DCFPD8CWwlSRhdQdCHypy9QhcCp7tq4E2KWU7gBDiYeDDwIGLOqoZYqQHweerpNcw6el/g0F/FrftoinjGeUhme28s45oB0kjSdyIgYS0mebBy3+TRn8T4YFgTiTV6QTLwvORj8zYY9ExEOePH91N92ASBNQFktyySqNErUd2dfFK9ynmxrMMlWtc+3aYesrw3PfxcfuYKEx1vnLxzoRLSfP1TGj0N/H16/6Uh1/5R95I7cs7o8CysU50knzk5+z7+AP88SN7sKXkyXe6+eZ9y1m3sHrcvvKSVz9+o4NE2sSyJaaVa1P9j9pmTt5aAYaBM6GCqaKrPixVMF98jM5MLbVlOfWT3nCacq9jSkLNX+PJlFI6oh2Ytklt+Vzs43toOhym9lgFV5ovsvzeG2kYIYlWzAO8aHjPcnaX0cXrfQZzsl6iiUGuO+GintLzytkTIZ6NMZQJYQ/LYd71XJDlpzRKvzVeU3u62HKkfxwfPHhbOf+w6wWEkUQKUEfkaF//pfGpKhNxNnDBOfPdxNV5rL3zQXr/7gF++gEvtppL1cno8L2j/0m/1sy3nxyYMVfPr/bhXnozC07+Hp/86d/x759qIu0CIQRSSrZ2HsKwm6gtc88aV8Npze+Vf/RH3Lyljy3XefCZAoc7y11rnZTYrUWuHsalYGw3AF0j/u4Grplgu3uEEDcAR4CvSim7xm4ghHgQeBBgzpyJK7UvBJoDuWKT7+z4HolEmKAdw4uNnTYQntOFLecj76y5pBlLWhiWgUNz4Nd9pK00qU0vkXricZCSbm8V3a2Xc8VtH6J0hsfJyRZZqKoAfYhYyQu83KPgFgorfhUidYUDwwv+hMHlJ1XK/vqvxxH3RGEq4ILl4k2E2dR8Pd8v5UZ/E/ff+Lt0vPzHRBOnUCybmv4smCaJRx/lrZb12FLicWokMybb2ocmJHDIVZq/uLeXpMMsdHIztMNEszEYVuRTMXH2NILtx1uxlDs2XMe/nDhKXzhNdYmL9YurqfA5J9z/WLy4NxfCzrfFzl8fl+oiZaYwRBZvaRUf3N1GvZF7YZgHD9F899l17CvivGDWOBsuDd7Oc/aT214lkg4RFhkCSYPLXutC8TWcV84ei+5YF48d/BnSslBtSWnEIuOvY9fXv8ri5VfTPMP9bmsfyoX0dZVk1mTT/j7KGt8kboULMW53xuIzT4a5/rf/5oyygsFYLqqZf5YvNF+/m7gacobphz7x58gf/X/84tZSMi4VW0BYpHluz2PY8roZc3V+zGpZGVeES1j/UoLnPuhHYoEao74SOk/IWeXqPNwbbsb84he57MUf8prTTdglUbKDNJWXcVVt7bldtPcQLnoayTTxS6BZSrkceBF4aKKNpJTfl1JeJaW8KhAIXNABjkXeQ6cnMiAkpaaOpmgE71pHT2ktm/b3srUtOKEe6rT2P0kor9HfxBcvf5BKdxUVzgrcuoeGsELkz/4Me3CI7spGvn3TF/nR8rv5862hGYcC51f78DpVDMvG1PqxpclgxEFfNMljrWsId95CtP8abn9Rm7DxQn4fY8NUk2nEvtuQfyk/9Fo733h833kLuZrpclbU/hqUVWCrCo9/uIbeGicyNMSyo9tRRE7DVRGC1S0Vk+4n78X4ws2t/P2nrmTdwuqCZGQWi4yuIKXkc8+9zr0v7OZ/DXbSUO4ZluDN6fC+cTTIM7tPnvF8J7vH3bEuHj78U1ShYkqLGxw3csycS0c4g93TAx7PrF+/Is4bpsXZcOnw9o6+7SSNFA0ZDyVxe5RX+3xy9kTjyCTjuZbsCExF5Znme/j+KZ0/fmT3jLlkdUsFCIilDCxbsr13Gxs7nkeK4aiYVFi+w2DNVR+bNCd8LGcD73q+vlBc3TEQ543aJVx5z//mpm0JFEsihMBSBUHxDpqvfcZcnUdPfQuvVy3EkzApC2VRLImCxbahZ7DU4Kxx9VicrJ3HnrI6fGGLqsEsXlz0xHsm3Pb9ikvBs90DjNSmaeR0UQ0AUsrBEX/+G/B3F2Bck2KyVXBeaq+5pJnmkmbUrEkqOoTwSbJmBpfQcS+6cVQ1MYKzzjs7Uygv3y5118AuVgRWUPXL3cRTaYSmsbNmEae8VWiKg3Aoyda24IxW8nkZoP96/TjbOqOoQiWrhUFkUDxBHH3liFgT1pqGSYl7slDguykXbzJciAKe/DyIOQ+Q9qfRfU7iXoU3rynn2rdCZPb/iC9/7PfpKlnO6paKST0lI+fzhqW1hc/e6ejFo5aSNUOARdTtAxFjbds2lFQPe6+9CUUVtFT7Od4fw8hIWqp9ZzzfyXIB8wvUOm8dp+IDPNKThhV3oEmb39nxKCXt7XCWhWFFnBe8Zzg7j+5YFxs7X5zQq927ci1/Pcuc/cD6lglD692xLp45/gwxJYNUBaVxi5Zt1WyqrUPDKDSrmgmXrFtYzSeumcNTO3qorO4m5vsVUk3nLG2pQNZFIFiB57c/Puk+xqtt5Dyf72a+vpBcnbv/Xj5/0+/x9uAPCPtUpCLIOGwqG59loeez3LHgurPm6oIc3/YomZV3Y8fbUJSNSC2XvB3NhtFdx2nx3TArXD12TH9zMEsqcCNpz5uojgjCTrGpcyOrzrEPw3sJl4KxvQ1YIISYR46w7wc+NXIDIUSdlPLU8J8fAg5e2CGexmRhxJFSe5qi8ZWVX+VLmWs5vPUIjixk7DQLbvog3f7LMOz2woN9xxX1BEpcZxW+OlMo78Hbynm046eYtsnBkzv59NMHqB4aAkDxeREOB6gKDBfXzTSE1hzw8dnr5nH48beJxRREeQIUA2ftHpIlPvz7r2bxnbedcR9jK5zfbbl4E+F8FvDk79dANI1h2/hcGmlsTE0ibYW3ri5j/1I/ioRM+CEW+u5Ec94CVI/bz9a2IE/v6EFRxaiF2zce30daSGJlJqgg0JACtl8RoCqi0N2wmIqT3ehKFcFYGo9Dm7YRMtk9bi5pxpYWnbETWIaOkHVUGP0EpU6H6mfOI4/gvGn9JaeM8D7Ee4KzRyLv1W6UpUQSfaw7qlBv5Opr9rkqMOzwrHF2TygxaQvwHX3bCSb6UAwLW5FctT2CI7Yc0aDmdiRhKJ5h0/7eGfHjnSsaeKP7baK+J0FLF2o9bMuB6/AKrrtvzRmfr7Gc/W7n6wvJ1fk5lJ1/Pb/esY1/1XaR8GpIRZCWWY4YP+VaWcXZcnVetlJTBPX1VfQeCNN01MmhlQZCCmzNxlLis8bVI3GsP47lcBGIapzqmYNav4+ymIHhysnCFo3tHC66sS2lNIUQXwaeJycj9UMp5X4hxF8C70gpnwJ+VwjxIcAEhoDPX6zxTrYKznvlKl2VDKUH6Yh2sMrbgGdzF9K2EYpC+eevwDnmwZ5Jhz+XrpDMWPSYCbwOHWAUkf9s72aG1CHq/bXEe9vpEmGqVRUsi2uXz+XVCh/JjIXHqdJU6ZlxDmLHQJxf7N9MovJJkBaqKkEKVCRuEePDa120rppIpGBqzGYu3sXC+Vo0jNVZRUA2Ogel3ItQk+iKhhAmaZeCNyLor1MYiL7K1rd283X+J9fMXTRqP0OJLKFEhsUNpaNaBieyBk4tgIhchSx7HalkwSFpX2ryD/qHkakyXF3whY+f9tDB9AulJrvHWdMmlbVwqg40l4tgkxeZ7aAkoWEfipN5eTN6a+tFK6It4r3D2XkUvNrZMGEsAgmDxW+dREYs1JaWccbYuXK2aYE23AI87yzJz+Vg73EsM4smJYotKJNOVl63jFfx5owpVfDG0SBbjw3OiK+fP7SPbOkzINMU2rBLwYI9Cg82t7Do7g1ndV7w7ufrC8nVIw3chjsfZN+/PMCL13qxFQFCkLaTfH/vv1DlqjlLrtawpY1lKwzaKs7GBm54w+LUPJuhSg2kRDoPsrb5Fm677OyKWie7vyM96rrHTaimES01iOGEoEugZAdxqa4iVw/johvbAFLKZ4Bnxnz2pyP+/UfAH13ocU2EsYZu3shoLmlGUzSG0oOoikZzSTNm+/OIkhLUkhKklJBMnvOD3TEQ54eb29EUgWVJHljfQkO5hxf39tITSjCQPEUy+RpoESKZIUpTFv12M92uU6BrBP3VfOmWBQUDaaYhtLdOHOb/bnyNqGMbmtdCAHmBVonAU1bG2hvvOuvr+17CmV5CMyGh/P3yOTV6w2luWVbDovr5pLUynur8EVJKjMwgaihKsMoJQqIYJpaeYOepIwUCz++nrsxFKJ6hL5yi3OtkfrWPnlCSU6E0Uh/E17QXv8NJxjZosMtJKCGMkgTVQxDqV0l0neTWDStGnfNMsa37EH2RLMIqI6HGuXFJmP0DbyL6e/iVP0HVoQiNjzxC78q1/PnWEImsideh8c37rnhfk/jFwHuBs/PIOUosqt3VJCIDrNuXpdFVh2w4P5z9qbVz+dXOkwRjaSxLFnSPhT6E9L+FrSgYqk3VYJbKXj/d96zgS031pA2bgWiaZ3afPGu+7hiI88eP7KZfewFnIIYQAAIhJYHBLF+67IMs+rVPntV5vZdw4bi69PQ+Aq3cXL+encEt9AdcDL9EkUqc54+/eFZcbdkSVRH83u2LKPXkVEbKsjt4teMNhiptkAKpRomJIzQH1hTOeaaYKC0quiNO39Mv8UaNihCQqfWzt7edTVuyRa7mEjG23y2YyNA9LVWnc2/zb2Jo/TSXNFPTl2HokUewIxHsSARtXnNOk5Jz8wTkH7yGCg/BWJq0YRdeBk9s7+bVvs2YegSwsSQMeXReXHwjL87xI3QNh6xH39xe8Ij0hJKkMhYnjSQepzatEFp3rIt/P/BPpPyDaHoEACmGucLSKHf5+a2rfq8YPpoCM1U1mF/tw7YlB7oj2Ehe2NPLFXPL2bDwBmpK3fxg7/fRfH4SRhJDs0CoWL402Bnqzeyo/eiKQiJj0ljp4a4rGwoeu61tQSSguwdBWPjVALZIkdEt3IZJNuphyF2Kls3SeHgXjDC2Z3Id8i8xM10FUkHRE1iWQjQTQbqyVJRUkMhm6F1WT8NRkzd3HKc75EBVBKFElmd29Yx+iRVRxDCm5uzcvHOpLoKpAWzbQlhZAp1RzK7keePsUo+jYLyPNJ5PZI+SVZNgq0hFoe64ws+WP4B9NIl+LMfZLl05a77OjyEu+9DLD4CQSAnCBnWglk9FW1j04G/N6NzeD5htrh7529YPf5bf+uKv+MmGMo4szhvcNkeir9Md+zCN/qZpcbWq5Cz1rGkXcrljgSpKgnEQbvLC21pmcg3v6VyHyZrYpQ2b9d40hxMKb6ka/WUCaSfZ2PkcpxK3I8zK9z1XF43ts8BEhu74B/FKGv0+Yg//GzIWR1+0CGtocNa6j02WX9Yc8HHtYsHm+AHAPv0D3cTp6yBsrUGprKAhUDpKZu+Hm9tRVTBGvIjOhI5oB5pmI6QstO4GQIKWqOeu1t/kqtorT29fDCONw0wjCs0BH3dd2cCPtxwnkbEIJbN859nDNJR7SFtpVKEyZCXIeHOhwxzJChA2O449wcorri60Vp+sSAtyMkXCCIBUMWSaSlcVl1VcxpXHenG9+ASdlY3MGeymvvFDM74GE3lHSmIfJqv04cLByewbRDJhIg6LKmlRu+8UdtACh4P8xLNl7iU2k7B6Ee99TIezr7/6BB7NizuexQ6nZr1j5EScnTfeOwbihQJD0xEBcrraUgrCvjnY/opxtTlny9f5MajePVhaqvCZyDpwdC7H3LB+1LZFvh6N88HV+d/3lNZy6r6vc9Mj36GnUSNRogGShBljU+cmbqz++LS4WlVzi8mRcN20nqZdP2KbZWMP67f6Y6EZXYOJuHrsnNacl1EXV1m6J0zvjeVopkVSCaF6O7Ajle97ri4a22eBqaTqSktiBDPdbOt2YnY62bNpFw1ZlcbDh9HmNc9a97GpQpqG1k+F10UwE81rOYEUJHUXXq8TtdQ34dgbyr2FF9GZsOVIP6+02ViWRWkySlinEP5CKrizq1nduKCwfb75TSJj4XWqfPPe928YaSRmWpSTl2lSFAXLNtE1BU0RHOuPs2hOMxnTIGNmc/dE5MufcvmCh/QB/ua1vyJ26oNIo2JSwlvTWsXTO3tIZpw4Ex9i/dI0O4deoyPaQdcik083O1i7+x0A0s89i3Hfx2dklEzkHfmLD63nWH+cqLKXV3p1FngW0h/s4PLOOKcWVaNU2VztzvB8ZTnJjIUtJS6Hckm2bS7i4uNM8qJ9yW5e7XmJmBklgkmlLYY7RjZcEM7Of7fx+Bu8dGI/cSRSEYiUk+uczbzgcY+T2Tsbvs4X1kXMXnTvbozhPG2kQOudi7tiCQuXj+7oW+Tr0TiXAsqmSg+WBMOycepqgavzC61vPL4PQzSirPsKy3f9M2+tU7BVgYXkxWPP8dLWqmlyda4Ga01rVeE7vbWV1Ws/weahxwhW6CDhbdHBbbGus446T8TV4+Z0oBXPffdRtuO/UBDYAoS0KfM5sLKO9z1XF43ts8BkpCn0Ibq1J0G32di3i18evBaz/iq0upX8zo5HWXzfPbOqoDBZSLO5pBmhSBQUbGyEKSlJWNy47RhrNywmdMt1bGsfYnVLxYxk9vIdyBRvO7rfy8IByGhZUm4NhMAj3PzubdeNGtvWtiDdg0lUVRCKyxnLVr3XMJM80JHeBaemUO514NbVQji50e/j2opP8MvYf4CWREpr2KltI4WgLGQQ0gcxtDaaXDeMLvAd48365r1XFP7uzu5kd0jJFf8yyMAtq6je0wWqitXVTfKRn1P6//3hWV+DqTx+3TGDLf3PkjKSuISLvXME+xsVVEvht41Ovnnv+tNyV5vb39XSY0WcP5xJXtTyHseQaexkORZxorFWbIfAe4E4G0BzhdgWeZSMmkLPWuiGwrotg3xwVSWNN7YUODtfmzPduT6yy6+j+nVcVVnyISFv3OJOo4Hrf31tka/PgJnm7OdTmNy6SjxlUurSR6X+jDRgBwIBqtsb8Mf7iZTmRA/iRhzNsZu5rjvGGacj+XokV48dW0PSwYo9MTaur0CRkqAZYXvf9rM2tqfi6pHQWloIPBEB24utgCoEn1+zCpe58H3P1UVj+ywxkVTdR9Y6efq4RrW3iv5EkKxziKpohkFXCSfUEpa1tFyw8emKjoKCYliUxEw++fNerkhUEL/man64uR3DttnbGS6EssaSyGQhxI6BOL/Y1oXwHsMz51kQFh2VgK2BIhAIMkqaN4O/oqHCM/phFmP+fwTezyHLs80DHetd+NjqpnESZLfMW8tre7OktTYURbCh7zB9Aztpa/UyUOXAFimkezd9kRacSjXzq32TerPy+9Rip4t/U4bBdk8pxvx6VhzuBClJPvEEnhl4t6d6iTX6m/jKyq/SEe2g951X2ayeojRiEParHN30KLddcyvNS3PHayj3vG/nUBFnxkSc/ScfXca27qNsGjhEfyqK5bTRY07EQOCCc3ZHtAMrkUCYFrYC3lSG607Z9K5cO4qz/+Sjy6bN15AznAfjGVTXUC5XWyGnFmXZXL83zf3/46PoEz0vRb4eh5nk7Of5ujngw6EqXLOgio+saizsZ6QBq7vdXL30KtLv/JQX11diqwJbSLKuXXQNLsWv1BaM0y1H+vnOs4dRFYHXqfEnH11WyNMeiY6BOPuSbmJOL1IV5GQMbAZ7j8NZriOnu+Cw2tvJOASVQwYgyVZ7MNUhNizKje/9zNVFY3sWsLrxMrb0u4kaQUyS2NopgoEAjrRKs9OCZPKCkFRHtAOX5mZBtoz+6Elu2hJm2aEkri/+GvvHaMXmV8kjSWSyQpD856FEFuHpRAobIYZDmMOFGVKALW129e+iO97NV1Z+lUZ/Uy7MtaOHZNbE49BGhbkuROvj9xKmI0HWHPANp2JcxfxqH5VPPEz0/z3PQ3cuZOs6P2RVcEfwN7zJ55d+nuaAj4ff7Ch4swZjNv/1+nE+e928wr7zhu+Lx97gqaPP0efr5u3PzOULD1lUhXKa28t2HGLRDDyBU73EGv1NNPqbOB5WeK3nVQbKNSxN4MiamAcPFYz7cyleK+L9ieaAj+5sHGVQUuUK0BcJIfrm4zTKLihnA2j9Q4SyYazhIvNb306z4K7P89YEnL1hae0Z+Tr/3dM7ekhkLPSq/ShaqpBa6EuYbLhy4nz0Il/PHkbytcepjTK0YbwB2xCpwvjST3l9tT2cuw0oaQxHOw9ct7bwLv72s4cZiKZRFYHPqU0YfSjcK1lPuvZqVGs3UgqkKoicCs7ofKbDsxJo6DVQbEmwSgeyo5rbvJ+5umhszxIur1rOy12biGejUB7EheATj8ZowklPfUuhA9n5JKm8/GDKSuGPWyw9kgZVRQtUTSvvbKJmOSMF+edV+2iPtWKxJ/dUieH8PyHQhIZAUO+vJ2WcFrNvDvj45n0Th7kuROeu9xKm610YSWjGTes5+KOf83bJBzF5A9UXQQA92T18d9836DM+TsSsBQG2LTFsydajQfZ2hvnKHYtYt7C6oLYzENIBBZdaSsoxyNuL59FuX4epajzd6eDPBs7P/Zu3dB0f372B/4y/gGrCr1YrtDhTZ+ucKaKIURipQqJhsO7gYdbufp2mSvcF42yA7s59gES1JQiB4XHgvGk980un5uyJ+DP/+UA0jaIKFs4x6HMfRAgJUqJakmsPWsy5bs6EYyny9exhOnw9yvgMtKKv/yTZ6GEo7cq9WrGxRB9dg0kgdw80Nac+kspaZE2bh988QVOlZwRXj2iiEyjl5MmlKPEDJEssQPCK7GDticMFacHZhOum9TT86EesfTvCxvXluG2B4S42t4GisT1tjBRwH1kVnO8cGc6EiWaiaAiwJZrDRtZaeG8Y34HsfJFUo7+J3666hy2P/Sl2KAKGgVpfh/Om9YUHf2vb5KvakQa5ZctCt6qRgvzlxjwWvarz9tUZDNfp37o0N1krQyQdwa27aS5pLnw32Wr2fHbueq/ibD0Demsr+z9wL9mwBztejeqK5GQaJUSzIR4+9HMqXZXUBW4mHPZj2pK0YZHImHz72cMAhVB2Ro9hl2RIyUGEVPAP6ZgVGhXJMJF41Xl9+Ro+J1pCBQ2CPo0nkm9yf2zN+57Ai5ga+QJBYFwk6GS8B4/mxZOxsaKDLNSizFHSeO/73AXjbICIZmBnQbNzXQoca9eit7bSDDywvmVcnU0eY/nTpSvjmqjEOIzIt2QHfHGTa/ek0b542aTjKfL17OFs+frUmpuwdgTB6gZV5iLGviP8ZNdLNFXexfxqH16HjtdlkjVtNDUnfzqWq2075wgLxtK4sqWUHnfRfkUSYQtsNcZrXW+dF2Nbb23F+5nPUPviD0l5dRKCQnOb9zuKxvY0kA/JJLIGfeEMNaWuQq5UdzbXObLaXU0oPYQhTRQhcSSy1B8Lo35+fAey80lSHVu288ISP4bu44X1Jmsiq7mrtJbm4e/zbd1f3Ns7zlszciU+tnlCvkWx3PQiD2VvRXQeR8xtw2OlSPsUyl3lICVX1qzk9ubbp2UEzbTwpIjpo2MgzkZfC7F0HEe2FD3fOGH4+1jSwKsZ3HeDh0y4hYffPEEokc2pnKiwrX2ooLbTrb2O3+XExmJ5cCkLu15ld5nBkKsEfWiQuekhYHzu4GzA6fAQLFEw9Fys/XWO0Lb1G/zxmj+ZcK69X3NLiziNfCOX7lASJDy9s6dQj5DvGpkw48SxCGQMavdN3jXyfHH2WycOszlxKNfIRgN/BLLp+oLq0ER1NnmM5c+xnuc7rqjnQL/GLhNy0hCCpXtMWq7/0IyKP4t8ff7hbaonsnUJHusIiprzZitaFqvyWf73MyX8/+68oeA0m4yrx7+zj/FiWM01tsnpSlJupqYeyDlAa2khY6Xxhw1QQaksJ22lJ9z2/cTTRWN7GsiTWK4lahqnrmLaNsf645RWuohlowwk+7FtG7el40hkuWebQr2jelY6kE0XHQNx/jlhkKjxojiSIFRe8Bxm21ObC5JqE7aaHzPh85+NrHzPe4We+lEfpiihosdNX71O2pvBRtKbOEWDr3HahnYe7+ccrvONjoE4T2zvJi1UNFVBUbPDaT+nt5Fakv6Im3rPHK5Z3ExTpYdvP3sYTQWvQ2d1SwV7O8MEM92g2wTcNXSE+til+jiw8kPc+84TZJwe5mkZGk7Wwqolszr+/LzMZJN4sxDVcnaDLSUDqf4JK+uLuaVFQI63E1mz0PAjmbFOc160A0WoLChbSF/fMdbtC81q18jpoGMgzndefY6EJ4ktNRRh05dezlODTbz8+D4+cHnttPk6j7E1HZ37B6F8WG9fKrgSNXh+++MzHnORr88P8vf08MkIVracbHAhrrpdBa5WtBQp/RjffraGb33qSu6/dgquHnH/Af5SNBHzXw7iDXLpSnBZxDwv459f7aMmmcTpKiFWqmEroBCf0LP9fuPporE9DRQ6OGUNFCHIGhYep4bPF+G/DjzEUGoICwsA0zTxp21S0SGEXjUrHcimwshJfmRPG5mwH6U+i1CygIJQFLJKX2Gbsd6aySb8RC8bo62N2jc2oi35EDFZh/NkAsf8E7g8AUySbJhzC43+pilXq++nlezFxMhozEA0gxQKWrgGUa0CFlKAtAXScqMll3P8pJN4vJf51T6+9akrR92jhnIP27qdvDq4h2g2BFIh4JtHqMYgo7tY274NNA08ninHM1OZQ11ReGD5Ffj6niPmkrmiXCkRUk4kmFDMLS0CYDjkrhFK5BaZHqd6uglYSTO2tOmPnsQZirN41yDmgDFrXSOnwqi8WjPE6RWwwDY9uEp9mHauAH26fJ0f70jO1lwh9nl35/YvFci4CMyvoae0lmP7e6elaFLk6/OPkfc0kjQAgT3Qih04hKqnc1FIIdHcQ2hJCrVUk3H1yL837e/F1B14a2wygCJz2ten9OSU4zkXrv5anZtMOkr5kDbctr2EnngPV7F61O/ebzxdNLangZEkNjJnuzu7k1g2ij2iY6OhguV10ZTxTNiBbDbJa+Qkt23J1YRR9Qi2liq0fZVaDBVH4XhjDehN+3snnfBjXzbJR39OQ+cRvjz4n3SW15MedPD4vBJi0RSgIVLzzlgh/35ayV5MjGxYlDVt0imBp78cxVoMLbtJO1SEEIADR3Y+T+/sQVFE4b6MlJLKzYMruTZWxbbuQzzxRoao4UdxHCXREKQ366a2P4vV3g4bbh43lomkqs5038c2HtmL4JP6OvZufZE3V3gQQIm/hJU1q8b9tphbWgScLvabLGcbJNLIIhHoixejcPKCcnbS7idbcRSQOXWntBc7OY+sX8M77Jlc01o1bb7On3P+7/94/QdEtTRCCKSwKcnGaCifzx8/sptE1sTr0PjSBxYUUlWKfH1xMJLrsqYFHgdywIna3YQ950jOuSDAUXIcYQzx9E7lDFx9+h7luTBMCoREComlCEKhngnHcq5cHYylaR9K02SXo6oaA2UC7NQoRZKxY3u/8HTR2J4mJvJyaLFmFKEwsmm5OyO577ko9VnPuA5k50JeExF+fpL7nBoHuiPEVQ3F340iZcFZoitO7llTO6kBPdmEH3s8o62NxKOPgmnSGD5FY2KAlz70W4ikSjpjkY3O4Ue9Ue65Ojjpy+D9tpK9mBh5X8s9Th64czGDP9zF0J4tvBrwYJWpWLrE6xHcUFfDlv1nvi+N/iYaFzdxZVWcbd1H2Xx0I9tcCjuuruVzD/dSMsE4RkpV6ZqCgGnd9/z4+5LdJEufZk9M50hFhk+/Ocg1bwxwst7F4t98YMKUpWJuaRF5TOad3tG3naSRotpbQ6w/Qqc9QI3PN2ucPZmBPpKzT6UO49LjCKmgYFF73MnNcwNUrVww6ncz4evuWBcv976GreZiP6plce2+JD3r19K9O4Sq5ArrNu3vK/L1RcbIe+p16PzOrYsY/OFO1Cff4r9/vSQnAyhB0TIsmj9Ie1tg2vckz4U/fepXbLNskLk0vIlwrlydn5MLls3D/98q174xyMYby3HbYLjGK5K833i6aGyfAxr9TXys+QF+cuQHoFi4ENz/0gDL2k3wj99+puQ1GeHnJ3lvOA0CamSaYDzn9cub/6al4FCck5L/RBN+ouNVvrwZGQqDzO25rzXAW8vaMWIZVIdASzSjDedGTrZafb+tZC8mJorGzPOpqH0mQ95SbDUFUsWpalRXxdAV/7TvS3Mgp1GsdmlISxKs0HlzpY9FrlxeXnesi45oB80lzRzr19FU0DUFw7QxbTmt+94c8PHgbeU81raJk+kkZa5GEok4JxdVcdUhg4ZeQWnGPeXv3+vkXcTM8NaJwzxx+FmiVoiwDFEtoKHfmnDbmXD2VAb6KM525KTdQCCFwqCzgedOmfzZFOkd0+XrPZHtxEWmMCZf3OJG70r2VVWBDOU+lFDlc3BioMjXFxMTRs7nVBF/VpCNzoPSrpyRjElliUnXWd6T5oCPe5uWc+z4m7m27cA7rl7uGNO2PS8rOBOuHjsnY/fdN6xIok2pSPJ+4umisX0O6BiI89grDhD3IhxBPp2Js3j/w5xsWUoHbpaOafQxU/KajPDzk3xrW5Cnd/QQjXZj13XiSiik3CqKUAEXP2/7GY/0RpFGxYTembETfqLjlQ0EwTAK2/TfshLNrTPfUU77YC/e0jAeu2nC0OfI47yfVrIXG/nrm38RG8Zc5tbdCl0WLNwN2ESyEZrKy3hg/Vy2tQ8xp9JT0Oud0mNS0kzGznBqTs7gfWFDJV1tP2X+czp7tTdQVYmmaNzb/Jt4HTr4wbTgK3csmpaxkuvu932C6V4M2+BwKE6dKKP+cBCrP4NQlClzxIsoYiJ0DMT57uYtxD0pBCV4RZy1u1LIssVsmSXOnspAH8nZj72zn/SIfgWlURWjylV4/qbKzT4TXwdDxzHF6YjrsgNxmhcuw9daxdM7e0hmLDxOlTtXNHDnioYiX19kjOVqKzOHppV3YVoDp1P6JZR6HQU5yOlyNUBDxs3KdskLFaBIyYAV4yevPcV9qz83aiE4E67Oz4+R6Sxno0jyfkHR2D4H5Emu1t9IbzjLzo7XSPp1Hi5bheX28HSfjz8dGE+0Z0teUxF+nnivciR58r9fYl9FEN2EtMOH1Bzodjm2TJNR+mjw10/LOzPR8U46krStKKHhVIba3jRztGo0JY5FnDmVfm5YeBWrGxdMGPos4uIhP0e9To0Dwk2kYTEZrRdvyodiK1RUOOkKhXn6tZy29pPvpKkpc+J16FOGzHPdHedwKhIeru0SHFwIB6M/AcVBa0Uzlp3B0Pr5k49eOe05Xyjs1PeT9kdxOFWcqoJTdbLeWEA9bVA9XCSZnLzIp4giJsKx/jimpSK1GLa0SVoW9MO3A7PH2Wcy0POcrQzA44M2Aog7PMSrq/A53RPK+E3F2RMdb8/uNhjhSPRZeqHfwjfvHd+0ZrJ9j0wpmWq7Is4dI7n6YNAi3LgEw7Ft5G3kZHiQV/a3nxVXA7mi31etQtt2CbzedZI9x3fzzfuuGOW8O1uunjDFapqKJO8nFI3tc8CovNKKZzjkGGDfwgqyx9PU+WsJ6Y4pC1imi+k8BDU73mDZkb28uaYWiUDTMnhdZfgcJqpwErVrzipN4MHbytl56ghX1i1Ec4X4Qf0RsrdVYymCtW9HuKainK+s/GIhXWA6cn/FgpsLj8IcDacQikpdOkw4KHCUGbisNNJZSX/Qn5O21FVsKXFqWkHacqr7U15RD9G95F0vEkA3AZNj0cPUeWuG58bpcPemYRUEYFyOaUe0g1P9vpyR4WykSzow7SSqIih3lbNCW4g98F9I2y56touYEeZX+xB6GGk5USyd8sQQ/U1zMW0HNVUls8LZ0zVaHOFuMt5h1REZ50ZHhjtHcOJ0Pepjj6e5Qux0nCp8r5mSqgXLC4WfZ3M+Rc6+cBjJ1UhoUE0G4jaWzbCMiGBH8B10sQCnHjgrrtZbW6mcfzmK2YatKEihkDF8RMPJUe3e83NjKq7OY8oFocdDJh3FH9GHPdsVRc/2xR7Auxl5knvu2Mvs7pVUHI8zUOZEOIcY1BbjmIAkZ1rZfiaCFEDGARVDBg5TYtZWc8eiu6l0V9Jc0ox5Rfm4PL/JxtEd6+LRju9h2iZtHS+zpKuJSDaM15T0Njh57tYA2yoO8HXguobrx41lon3nNZ8TGZOGCk+x4OYCYVTYelsXg0YtzlCQOx5L8vT1y7DNEjaH+1DtKizLRhGCjGnidehTvuC7Y10cCR1BFQJLygm2sDFss/DXWOUcJChqrqL+wdvKC/PNsgRC/wDRaAWl+j3ctCpBuc/JqppVVG7eTSQQyNUNFD3bRcwAmitEac0hMqkMQkvhCGZYtOc4Oxdey6DmnjXOPhNfd8e6+JXzEJAL65dGLBa6UmfMzZ5sHCOP91TbRuKqUSjc8SZNVs2/cdKxTMbXBXnCYpHkBcFYru4fTKEPBnDWSZL+XD1U2ooj9WPY6Yppc3Uejc3LEdG2nOwrII1ymIC6p+LqieoPJlwQFj3b41A0ts8RzQEfd7lWcKT3MSLlTtw2fGzfLuRd17D4ztFegPPqJXC5aOhJ48rYZJwq0qHS4GvgqtphbUs/o4h0onHkvYtDqUFM26TSVUlv4hSvB7cQdQtCXheWKlBUlV5zkB2TNBQZKS31zfuuADjdgTOSQQAep1YsuLlAyN/3p3f0kFFUkNDvryRbfwrN0Uta6+T2ut+gtaK5UKDj0pUpQ8cvHnuDoWSMumwZkVQ/riQMVHiRuokQNg7FiUt1FirQR3pBjvfHkUhaqv30hBI8uW8XSUeGOl81vYlTXHH5CZr0BlY3rh917JTnKFZfH1gWqCqduOkeoRd8KWBkcWixlfylh45oB4oiqfPWkIgPse5QlFUJi5qjzzJwzYMXjLOPHdmKnUygeMAWAqGpzL/qllHbjDSgz2Ycwd7jWPJ0weflxyUNlRMXE4/U4zct+Oodi2go94xr+14skrwwGMXVgJLwU9HpIrl0uNhV2MyvF3ygoXXaXJ1fOLX1Hkd4QLNsTFVBcwxRXrq00Pwmj6m4+ont3XxkVeOZ0048HtLJCP6IhlQEsqqCdzp6qVLfv4u1orE9C2j0N/Fbnjs5uPGvqT+Zpi5oUf4/3LjHTKrzJaVktLUR/973qB0wuHqL5Om7fahZeGjff1PrrR330p9oHJorxHd2fBvTNrGlBQiG0oOY0sJhQHNnku56JxmXijJcQy+Bd3q3sWtgFysCK7iqdjVb24J0h5IFaamtbUECJa6C5jPANa1VhQe2iAuDY/1xFFXQrKTplzaxSgtbNzAUFYRNdVWMDYtzBS7jGsqsbyloyzcHfLx14jBPHX0OSw0TVSGQFNy0KcNjq1dhVmah9CRlHj9u3UNzSTMw2gviceYM/p5Qgr5wBrvThVlpYNg9RLKDSPZyUj/Gta6vAqfniNXenvNqqyrdJdX8654EVk/7JRPe7o518Z0d3yaZzWCaCr+x5MtcM3fRRR1TEaPhUl0EUwPY0kYgCRwPYfUnqA8GWdp44Thb2XuYsEdgqQKJoC65AlF9xaTbn804fMf7UJ05TWUhoX7ALDTqmWi/iaxBMJbFMG2+8+xh7rm6acK235fSova9jLFc7Ugrozr/NpR5CsWIZ+Lqkd9npQfbM7wbCToSh6aMO/5UXL31aJC9neFRze8mmhNWezvOjE20RMNWBKYVZ/OBIbbt2XdJcDVc+IZNRWN7ltCQcRPL+OhZVIJSZVM+QYj7fEkpmQcPgS3pKa/nieU3kVTbkSk/CRlnW/chGhePNrYn7CQZ3VnwZg+lB1nfdDOV7kri2Ri/CP6AmE/FFwU1o6D5dEq9tThVB3+37W+wpc0LHc/xtdV/CAROh6bk+ON5HXrR0L4IyN+DQamj2RZetQfcPqQQCCHoSR+kO3bZOC/0yaEk3372MB6nWjBqd546Aii4ZSNpa4jqLslLN+tY3hM4XW602O2saqrgrqUrCgu9sV4QgCe2d7P1aJCGkgr6IndRX92Orh6izlvHUHpwnC7ryIhnZ2k9hg01l1B4uyPaQTKboX9Ix1JifHfzFmrubLjo4yriNNJWmip3AKfqJB0JYgTKUAe9k6YlnS/OPqXGsQXYqNgItkofxx85Xax2LuOoHrKhTuY8ipaCo3HFuEY9I/drWmCYNrqmTCjfOr4ZUBHnE6O4WlrUxIK04wFyzW1KvY7Ctmfi6pHf94SrkChYKiAltVoVGSkmrFGYlKunmQIqgYxTUBK1SDscxF1uSjyCTPjM+eUXAhejFqFobJ8FploJ9ThT/OcHNEwFNFvhd5wpxtLbeZNS8niwBwY40XA52XQAwQmEnsC2Vcx01bjNJxqHFmtGUzSG0oOoisaq4c58337jrxGxBGldI3NiLTLjR85RuG3FKt7ufQnLtvDoXlJmklc736aeD1Jd6sK0JB6nWiDqooTUxUW+6HXTr36BCG1j56pc/lxOUUryetcbbO08yH0t/4PltfMLL1vTlmgqozxqV9Yt5IVOlaydRlgaipYATUNk3WR0EwWD2+ffRKN/8rzSjoE4taUuNEUQjKVRdYV5ZXWEho4W5mDeK56H1tICQoBlMSdyCtvh5Hh/DI/j0khJai5pxjQVLCWGpmiQrbokXizvd4zi7ZIcz8WNGE5FO6OU5PniLqWyEplQAIEQoCiCZNacdL6czTh6HSkkAhsVFHispJyrB8bvN39dPrV2Lj994wSaIvA4tSnlW4s4/8jf630/OUbg8f9m27VZwJOL6glB11CS7zx3iNUtFaMWYRNx9cjvUYKAjWKDreRSQUvExFraU3H1dBadWksLzqwkWqJiKzaoafoHTHzW9LS7zzcuRsOmorE9TRRy2zImli35yh2LWLew+vT3pw5gOjTKUwoDJYKNqR24YmvGpXDMRI3kjEgmUQIB5qlZPCkvA72r0Up68IkFrG5cMOFPmgO5qvWO6E60WC6/9Csrvzoq3/T1ntcwomECAxl6Kn1YuqRmQKWfBn566KfozgymNEkaCYRQ2LG/hF2ZkzhUhY+tbhjlETkv513EtNEd6+LHx77LyZoTWAH3cIUMyOHQZDTmAZHmuy9v4c9vrysU6gzFM2w+0D/KqG0O1PJ1/ievdb3Fka5fMVAniZQq2EYcbA+KEZhyLCO9CghYOs/koPksbw+ApgrWN908rrUvAMkkak0NSInqq0RIGzns7bkU0Ohv4jeWfJnvbt4C2SqcsvqSeLG8nzGWtz9zcwnke/5msgifD81Zg5Ry0oLb88FddYYHRYKtSCQCM12KxzX1onG644ioWSxNKeh3G1qGrW3BKRvhfOWORaPSD/LHK+LioDngo+GD1zDw0P9l20iCk/DqwX7SfV08+U4337xv+Rm4+vQibeeWH/OaJk7vSEmAPfU4xnL1NfMrqfA5z3wCySRGdTmlSYmhqoTdbhDmJcPVF6Nh0yVhbAshbgf+AVCBf5NS/s2Y753AfwGrgEHgE1LKjgs5xmP9cRIZk2A8g2HafPvZwwCkDZu56SGqnt6Cep3JgFthqMTBbr2Pth3f5isrv3r+C6U8Hqy+Puqsk3xGhHl07QKkS6PEFUNz3czIvNc8umNd/O1b3yKZzeJxOPj6NX8wrJ08op1qSTMaCuESFZdhko356J1bRsy1B2cmgSNdQWUpVLvr0eIraYtX01CRWykGSlxFsr6E0BHtIGkkc5LYtkQq4I9bSK8bQ/NjCokiVMx0Jdvah2hY5eHFvb2Ek1n6o2l8Lg2P8zRdXDN3EYbWT+cpFf+QRUpXScRrqLVWkvAGJvUUjFWlOTmUZGvnYeyyOJGkRmWJSqW7kkZ/0/hI0nAER9o22yuWkrAV6spcJDOTewQvNK6Zu4iaOyduEvJewruBs2E8b//7lgP4G9KUKBpGNEyXL0v1niG0ec2T5jWfD2ScCmV9WUxVJavqrK21+dStE6eQjMR08kyTPo1RK2lF8PSOnoKiRL4pykhlqLRhj2pKUsTFh97aivuWWyC6adTnEonHqZHMmNPi6vwibXCHH8WUSEVBIqgQLqQ6Po0kj4m4+qUD/XicKi/u7R2VejERV+sDYSKeWkwVUFKUebzIxOTHu5C4GNH2i25sCyFU4P8BHwC6gW1CiKeklAdGbPYbQEhK2SqEuB/4W+ATF3Kc86t9WLYs5LbZMldM4naqqNEIX85W8YXdWTbXDnGgyk99+dwJ807PB8wRhWOWP0qJTBGoXDTl8bd1H6I7FAfbwaAaZOOxN/j8itGXtNHfxG+VfpgDP/7fNHQn6S19kh89uAgHBkKLYloCafk41baGTKqUvki6qDRyiaK5pBmJJKPYoCtopuTaN4e4ufVO2m67h+++vAUzXQnZSla3VBSMlMF4BtOSpLIWliVHEaVLdZF2CNIVGt5kFqu7iVhN3YTyaXBaqSaSzhJNmgjAtCUKOpYWxZQ2Q2kVl+piy5F+vvPsYVRF4HVq/MlHl1EzHMHpdlfw8qJ1DGUlg11h6krdF3W+GW1ttO84xInKRhYub33PR3HeLZwNo3lbVQSxFEhjkCg2ul/B29iMcqoX7333TZrXfD6g9w4Sycui2SbXp0LTMrTPlGfaHetip6d/2GMpEZYgoJcQzkgaytyFvF5NpagM9S6AKCuH6JjPECQzJooQ0+ZqgIbAfER0N1LYIFXSVgCvfnZcPTZNpTngm5SrjUAZnpRK2OXFFCpdQ2HqtIubRtK2/QBH9x1nwbJ5tK5ackF5+qIb28DVQJuUsh1ACPEw8GFgJHF/GPjz4X//HPgnIYSQckKB3/OC5oCPr9yxqEBUpgWqIgj4XQxkMpxwV7D24A5uiPk4cWOuyNCSNoOpQbpjXbNicE/m1RgZmekuL6NPZIhHTlDhLhuX95qHma5CYiMdp5ASXu15iVvmrx03zpoTEdy7YyAlexeopCwT0yxBsSVus4U1tbexpcumoTyXA1xUGrmUIVElKKZNWdhgTnea+jkePLXz+ehiF8F4lg1La1i3sJqOgTiWLbFtmUuTtiWmfZoou2NdPHz4p6iGSVYV3PPUKcpOPkbwgXqWfnTdhPd/pFKNBBY3lrJhaQ3/8uZRTNOPik6lV6UrFObHL6QZiKbRNQVBzkNZM+zZPt5Yj2lJNEWQBbLWGWKh5xFGWxt7//Av+c6cmzHVEK4DYf70/qve6/P/XcHZMJq3M4ZJ2hlGkS4wHXhTUVLRQRSfD+dN68/L8Sfj7FNqHAQotsQWgtetDE0T5FWPxHTyTHf0bSdhpwvqFdJ0EOyvY9BIjzKYispQ7w7YoRAJrzrqJd9Sr1AXqJ02V+fRM3AM4QTVBEVYXOHu4ZN3f/qsuPqHm9tHCysMxPn2s4cn5Gp9IEzM68NW06go2LbG2oUXr9i2bfsB/vIn2zARaHuC/CnQumrJBTv+pWBsNwBdI/7uBq6ZbBsppSmEiACVQHDkRkKIB4EHAebMmXPWAzlTiG7dwmoayj0c64/j0pURE08wNxlESqgLw5cbf429zgE2dr7Iy10v8VrPq+ecTjKVxE9NSwtIycsrannuzhJQsqSSAyzwL510f6sbF/DYvitIubeh2aW4/Arbug/xZjqI5gqyujGnTGENBMEwADAT5QgpcHvSmKaTDzTfxm2XLePtg/uKSiOXAKZqTtGR2oNpauhSw5IWplDpV+bztuXnZyPmVUN5rkhspJFiSxtF5PI6C/uNdmDaJoGUg8G0RUaDxsEeFiW6KJvq/g+bWgqwsNbPuoXVaM51/PuBnWiaRFMlxwZ7UZx+dM2PYdqnXxztw7UJShpLd2DaEpdTw+VQLlpo0jx4iA69DMvhpDIZJpxIXRJh0vOMWeNsODfenk5aRZ63nz+0j2dOHcQWadBTOOM2Df3WhL+ZDYxqDmJJ7lp5uo5FqayEOEghsFSNnZaXtsenlkWbUEVqzPlLACnRLBtbUVFOzaEh7UKrdHJNaxWrWyoK760iX188TMXVef3suekhPBs30n9PGSOt7b7oENl4YtpcnYcdT4AzR8ACmJcJT33vJ+DqvP2TH/em/b1oKuiaMo6rjUAZzrRG1uFCIlBVc3r53ucJR/cdx0RQpZgM2hpH9x2f0Ng+X70SLgVje9Ygpfw+8H2Aq6666qw8KNOVghkZIs5PvMb971AW7UeUlSEzaWrbQ+xdDEkjRbW3mpSRLKRzzFTbcZSETyhRSGHRFYXfNztJ1zjZfFM5KDZC6kgly67BbQzu6JnU0F/fvIat0aO4HQJVqPxiay8J7yMgbF7q8fH1a/6AqCNJ24oSGk6mubyth1c678asBb9dw22XLSsqjVwimGj+AoXisIFUAl+zCdKBJ2WQObGGTU31JMwaZCxNU4WHxJjc54nINY/mkmZsadHjTqNHFRr6DNB11MB49Zs81rRW8fTOHpIZq6BUA7k854aKr7G9bzubOjfSntqKWWFQwZ3YmcrCiyM17Nmus/t4wHiE/7zjS+h+x7Q7qJ0PaIsvY27iv1FTSYZ0D2ppkqiyl+6YUWxqM03MlLfPRr6rOeBjadZge9JB1gxgZiLcuDdEg12CNNOYBw9NmkZyrpztdWoc7Inws62dhVzXmv4M0gOmqgCS0rSHrGNyWbT8GEY6WYBx518TE0jLwlYEwrZxhMoZdLpGGdaTPdNFXBiciav7Imlqypy4IyE+6q6noyS3bs0/GA7FP65F+1RcnYfLW4ItBFKAakODu2bSMU7G1WNT5OZX+/A6dPDnov0juVofCJN1uVFVC1Co9PjGNdC5kGipcKGZBkFVRROSBcvmjdsm3yvBtE00RZvVmrtLwdjuAUaeTePwZxNt0y2E0IBSckU3s4aZSMHkJ16q18PBbD/d5TqNUYOYM8XGzs1EsmHC6RAlejW6WX1O2o6jJH4sciEjBImswU6RZMtn6ggGTBAKUmQBCLirsWxzXN72yHEI/Q5WXSHo7fdxyjqCqkqk4SOZzbKjbzsv1x8he2sA1ZJ87kfdfM2K0n/1J8dVrRdJ++JiovkLYNg2Tl3FTkmEEEipYNtOyPjxZlN0o6OYvRyJDhJwNzK/evmo/U59bwXoWs7nYudSObSWlknH2Bzw8c17r5jwhdDob8p19xMKdb5KYIDlc1Run3/l6e2Gc7aRktVWkIXzDbqXLrjoRkNjaojf3fcEe1rq2DFX5ZVenS39z16Y4uiLg3clZ7tUF+HsYK6hjSIJtA1gHE2Mk/0baVzDeIP2bDm7L5wCCeUenVAipwyiqHEEw938FI0+NUbJBKH//HgmMs5GFq/lz39w35sI5+n0lBXmVlau/0ihlgCKfH2xcUaulhKnpmEYFntqFyDF6bQggKGoQvUEc2Wq+9od6+KpkmNIE1RbUhaxMOZUTjrGqbh67HYTOtuSSQbmlSMEaLaNVAW3X3XxRBOMtjbKv/8P/J7poMNdwbJf/8SEXu3tfdsJZ8JUu6tJmclZrbm7FIztbcACIcQ8cgR9P/CpMds8BXwOeBP4OPDSbOf+nYsUTE+ih4d+rQFLAVXC9akjKCUqTd75tA+dJB5ezPefD/GBy50z1nYcOakjySzfff4Ig/EMihAkFkE6oqDbkLFETovYdmJjoyqOUXnbhQrjrEFDuZeeUCnPbQFVhVCyFL9fINQ4HkcuJGkKm7KISbBS57V1FdzqChWr1i9BTDZ/dUXJFdO4glgWaJlyPJlOUp4wA8ZCNGeI8nmbMaWJ7tnN7ohEc00guzcGecO4Me0haEv2L/HTEzVZdGI3i7h50t9N9ULIayAPpQfxOBzDTXFGbDtCjUQoCnMqPSy6yHPRPHgIFJV59VX06V0o2Woqy1suWHH0RcK7krOn09BmrGH7gctrz5mzt7YFeWxbF+0DcZDw9M4ebmyohOEO3AhAUSeUYRvL18FYmq1tQV7c20sia4wrcgzG4+CUWJqCBA5cofPpqyvHad4XcfFwJq5GwFA8gw+YkzrI21Wuwm+FVPGoJdx1+dk1y9ret52InUAKgakJTNWi4WR6yt9Md1E24XYeDzKeAOlCSAuhq1RexBQS8+AhZNagubaSxr4uSkiN26Y71sWmzo1EMmEimTB13rpJa95mgotubA/n830ZeJ6cjNQPpZT7hRB/CbwjpXwK+HfgR0KINmCIHLnPKs4lHaLTEceUJmVDJpFSDXQHmqIRSsQRtocafTHRVI5Jz0XbMT+pN+3vpabUhVNXyRoW/nQJLkslrCmgSEABqeNX6rh30a2FF/5Izdm+SI7p815yj1On1FHDKv+nWTIvy+rGnAzWK9rPCVY5GCzXObDET2dVO78/SwWfRcweJpu/+Zf9z3cEyYptWK4QSsLgM5tf5GDNcd5Y3IAtsmg4iNl9PN72GK/1vMoNFZ+jvcfJ6paKUXryheMNG8YhO4YlJG9eXYpiS152vcX/nOH8mEjrfRRGeLYn6/h3oaEtvgxsi+yRwzQ0+tDd3kmb8rxX8G7l7Ok0tBnrdYTZ4WyAn23tpK7MldP8jntBB1vJteKupZTMGBm2ifja69ABSGQNnJpGuc/mmgWnixwzzvk8nTxMpCTXhjvusNjRt73I15cQzsTVj73dldO1lpJIQ2J4HaYMRxBdlLJoVDrGliP9bGsfmpSrId+iXaJaNrYQXP1OiJqmzITbzgas9nZqEhoCgaUKVKDe13DejncmjORpxeebUOZze992kmaSOf45RLNRbpnzgfdezraU8hngmTGf/emIf6eBe8/3OGYaXpuT9aEJjUiFhiphhVnLmpX3s637EE+8kSFq+Attb2ejM9f8ah9ep4Zp23icGqvK6lj0z508/oE69iwpAeECPcHJ1BEePjxIrbd2VBvuhgoPhmVTX+5hcX0JP9lyouAlX9+6fNQD+1ulH+bp1/8PBy7zEhgyiTfo72WP3bsaE83f5oCPY/1xnA4FNBXDBENzoDmidF7bTUlZmrCexUIipU3CiCNsJ9/dvYVsZEGhccJYEs8bxgf2fIft7QPsucJNZcjA0tVc8WS6fEbzfKTW+7hClTGe7Yk6/l0siBHF0T1l9qwX11xqePdy9nBDG9tGVFSgSmvUwm2s13G2OHtNa1XOG50x0RSFCr+gtNfEVFXCLg9DtoUwLVy6UvjNSL4WwOKGUhbW+nFoCn3hDLZMF+Tf8uNqueFuLv/xM7x+eW4fJpJg73HGtTMu4qJiKq52OVWa/F76IkOcrCrB1mzyeSRLK1bxmzeuL/x2y5F+/viRPdhSTsrVcNrQtVUBlkLpgA91Zc5gn2lNwmQw2tpIPPIIaX+akrABTg21qpy0NbUn/UJATBJbm8irvXK4i/Zs4ZIwtt+t6I51sb1vO4bWy53P9pHRBY19Bg3faMDtb6JxcRNXVo2fyOc6oceujCufeJhoX5brtwc5sMyFqZogbBJJB0lntmAc518kHQNxBqIZJJLOYJIKnwOfSydrWKSN0bHMmhMRrt8aoX2em3CJijNjnNFjN9sPbxHnhvnVPoQjiGmbKKYDhMErN1QQ92kktCw2eTKHjJXFMhJkUxWjGyeMKb7pjnVx7MhWBve08daNAWx3koTfSZ3LjW5W841fzSzPNY98oUrSSGJJiy9e/iCXtbcjSkpQ/f6cq+YS8GybBw8hDROlrAw7nSuOnnf3XRd7WEVMgJyCjoVf95EWYbqdcar7Y6MWbpN5HWebs7t+tbGgs63KJGZW4NLhh5vbaSj30BzwjTL8LSnZfnyIAz1hTItJOVtvbaW0roWRYjHWiRNw3RmuTZGzLwmMWuxhU5KKA6edCm5l9L3ZtL8Pw8o53TKGNSFXA3R27MK2JbaiggpPXXMta1auZfAc6sgmQ54T3SWVxEo1pK6j2HFcquvMPz5PGMvTYwui82mRC8oXMpDsn3WvNhSN7RmjO9bF3237G04lTiEti8DdtTz4VII6Mbrt7/kqRhm53/jwZxmHgjOuYrr94IxjKUlM0zXKOF41r5yndvQgkURTJiVuDVXkKuI9Tg2fL8LrPUfRzWri8VKq+2LU9iS47fE0B+dXs/Kyy6achOdSBFrEuWOikGLQOsjceSfYPxRCCpOwWwPFRbTUga1YpyWehIZt21iRy8imyrEVA204N/obj+8jkTUwLfjszSW8OvQQ2f5eBq63sF0pkLkUpnL9cuLxUgx7cEZ5rnnkO16GMkMYlsEPdvwT97zWSe8ySdgl8dkLuKG+5eI77Dwe7J4eLNumr8bJAb2LhcU0q0sSLtVFMDWQK5CUNk5XCWq1e1xK0oXg7LeHdbaFBFOA5gzTUOod9bw0B3w8sL6FTfv7eLstSCxtksgo4zh7rARgmaWjmbl0AVCwIlOPq8jZFwcdA3G2tuWUMPOSkCMXZVUPvchzWoqRxvaerhDfOLKvUCS7ryuMZUtiKQOHdpqrx8pNDh7bj+WGPNmnfQrvZD0EZiAMcUZ4PFhdXZyaU4KeDqDppbgc7ovr2R7B0xNFRV2qi5SZwrCylDrLZt2rDedgbAshvi6l/NvZHMy7CR3RDpJmCkWogCStWnQ54tT0Jy94eFttaQEhUCMekkoJptQQWR9Oq4kPX35nQXLwG4/vYyiRIZk10dWcLmZekzNt2Ph8ER7t+B7JbIbekIE7che6OYePNSzl0cV3Y6oa+5KVtEzRfGEmqi5FzA4mCik6S07wd9v+BsMysKWVK55FopsSNaNiuyWggjBR0MHy0+S8Bq3MzdyAl+sWBugcTBJKZoimTCw1yA93bKKkqh9dGFiqCULHlgpIybGTNnc3K+eU5wq5/FpLWhiWgaqoJFJR/uMWjbSnGgsVJZvilV3t/MWwLvNF88olk6gNDfTWunjoRhuZ3opjx9FLUonk/c7ZaStNqbMMkMhkhky6C2uMZ/tCQamsxI6DpWggICZVTg4lR3Vz7BiI88PN7QwlMkTTuYXvWM6eSDHljnQpEjGcDy54NdXM7UXOvqSQ79DYHUoWima/ee8VBYPb7Ozkla4j7Lq9fPgXAqSCWykpyP4BuBwqixtKOBVOc/2iHFcnsgblXucoucklbgXFtrGFikQhbfp4emcPX7plwTlz9VhY7e30BnRevTZA3OsAGUWNaAVFtovC1cM8LVwuZCY9anFdaNAmVExpcf+iT54X7p62sS2EeGTkn8AKci1435doLmnGo7mJZMJIbFy2xlxnHUpD+sKHt5NJ1Joa0iWX4T6yHH9zgmjpYfylIV7ufYIr6udxrF/HsG1qy9wMxjNoqqDErfPVOxYVPKCv9xzFtE2k7cRSwjhLOsn2NLCnYTGmqlGRDBMhMCUZn4uqSxHnhm3tQ9hSjkr/8DXsGm50kGtmgwIgCFY6kZYTy9CAnM76DU23s/NAGVHDT5lH4Z7VTfxwczuJjEkwmkU4B/E1vojtiBE2Ejn2UBTUlIKtOHAobpzGfNKGfc7a643+Jj405zP85OgPSJlRMsLE9unkqMdG6Bmymb6CMsPF8sp14mZfRSuJygEsPUvAX0PYTrOt+xCHbf2ihuWLnD0aLtVFJBPOebaxcfoq0BfUYqcvPGfXGR5Ayd0VCSVmKdcsGt3NMW8El3kcBGMZXLqC16nzlRGcDbBpf+8oY/mIM4sUCvmdG85YkbMvMRzrj5PImqhKTs8vmbFGtT//v8+0Y15djfSFAQkCLMNFT08N9b7Tsn+6omDaNpU+Bwe6I5i2pC+SIZE2QUJdmYuo2csubx9YABKZ8VJrNaPoYla4GkanIVUCPXUO0rqKSHlQnBaO1HKOn3Ty/b0XJ4LSU9/CntolNA2cYI6mFQokOwbi/PzwywSTQ9T7akmZyfPmgT8bz3ZUSvmF/B9CiH85D+N516DR38TXVv8h2/u2YwWDtPz4EWq644hJKl3HYlZXeB4PVl8fjXELvf4qDEtBVVTq/dWk7Qgd0Q7mV1+JriiEEhkEAqeu4nNphS5UkG9UYjOQPo5UJEP2O5R4/Szvb+Nw7UKGPGU4sack43NRdSni3LC6pYIn3+nOSf0NF045S1bwbPuzZC2z8GJHity/hcCpeLDCS7hz0XX85rVr6Gg9PS/HFtSmnWE03UCqw2QkAakgI/WkEgtxyUqcZdWF+34u975jIM5jrzjIuBdhet9GVRSQFtgShMCWCg4715ThYnnl2rYf4H9v7sZsXotwhvn/s/fe4XVc19X370y5vaB3gCAAdoqdFCWqkCLVrG5bsuQSx47txCl+5SRf4hQnceLEjt83sZM4dmw5tuWqajVajSJFiRJFsUrsBQRBNKLj9jblfH9cAgRAAGwASUlYz+PHgnTvzLkzZ9bss8/aa+cW7CGkpDAtwdOb00ij4VJvy09y9iAMzmxjWBjuFHY4dEk4O+1U8HebhF1+JAKnwz6tm2NtkQ/bkjT1xRECHJp6WqDd/7nBwbLLa2Grp9r/SXdokrMvM2SbwWj0xTMgweNUqS3KBtr/8sw+YmoYf3kTQgFx0mDbb8/EqZdw+8JTtn/9960rkuL5d9soz3Fni2krghw+Eck633gbSMtw9ihCkA7V0BTKobJQjhtXD95Z+YvSqTgzkqTfRqpxLKGi29lizEvB1Y1dMf5lcyep8mVoxQv5P8fWkXfy3//9sxsJB17FVvuIGRHKfONr9zcY5xJs//Owv/9mPAfyXkT/VsPR8BYg60gmxvrCSYy3Rs5saMieXFVZcWw7xqylHM71kbLDAxZkFf4soT69o4UtR7qHNELoP3eFv5LVVWt4ruFZAlo+4VSMW5c7qHwjwlLzEULuHJYdBNlZwhsZe2BSDrdqm2yacPHR2BUjZdj8yc3TaepJsLQmj/JcD1vqCzHabifj2IdU4jiCrQhxcqKmnVgqqDLI3OJsM5rh967/JZ7jcXD94lqeb3uNlHXSElgCCPKOB9CSOSyrdHPfOAWW/YF+wJFDNwLFVrCwcGVsHBmVa7TruOXOlQCs29N+0bJygwOuI3uPYUpJvpmky61Qkaxl1tzZZKJTeK4+eTlsy09y9iAMyWxLcBjyknG23t5DwitQ1CS2ECxxdI7oTnH7ovIhloHDC9j7Pzc4WN6+bRNa7ACmBkiBM78JzdUHjB1wT3L2xcXti8rpjaXJ8zmpzPewpb6bR946TjRpoOY2gTbIms8WGMlcFEWhMn9QguzkfWvsig3woMep8TvXZLsjHu2Msad9M6+GbeTJbqV5yTBpxeL2Refm1T0ahsuQ6hvakbl+chJgKDa218dHlpewsKDgknB1VyRFJhQhLxGiz5/HcV8Rsw8c5GiNj7TSgaao2EYZLkdiQgoj+3HGYFsI8R/Ag1LKY4P/vZSyd0JG9B5CS7SZf337/xEPhXCucfAHr+ZQ0pHi+P632GMcw0wVsLRi2mkTerw1cgJoCRTz79d8hqTuxBcO8onKWZzIHGJB4YIhQfDdiyvY0xQadcIvLl7MptbXsew0uV431dPq+K+P59GrJlFkmqZeA9f+76IVFGLLrIuFItRxaW06WRF/fhir/W9vPE0448Fb3gdaon9HEgDhjiCNPDSzaIgLQj8Gv8Szev7HCDg9GKkkftuBlUhiNs4mGavFo1p8+IY5Y963c7m/Pl8Y232QZNyP6s/Dp6dwdMS4dnOYuUeSzPqnmbiHZXcmet4Mv86fzHGiplJ0+pKkZ2zloFvQ1tTKJ2q/hK6kL9m2/CRnj4z+pjZIjVi4jxMumJ+jIdNZd4LWYMmo82i8OTstLDxxSSiYrfl5zXeYFccPceWUGUM+N9wycLS5NDhYTrdreBWTcEAHKUnZqQnx2p7k6/PDcB757MqaAW1+TyyNkBLV2YMQcoCrddsBiRo0RZyRq4e76DQe6UPY2a6ilqJiST95uWO3Tj+Xezt4Z0U1MpSsf45uK0bY40MqEkVPUZmbc1F3UAZfYyuZxgqH6VHdaLEYU2KdaLNmUhv0oeEgZadAMch1TUxhZD/OJrMdBZ4VQtwvpYwLIW4G/k5KuWLCRvUewbaWg7T0xRBpH7Yrwy71BPPS3fzY3kjrXkAqrN15F1+7c+WQiTXeGjm1poZdZbNp9xei2BZRNcoT9S8S9Kgc7D2AlQ4QiwUHJvhYE354Y5ENTevpdqQBgQ1EfCq2nWaqK5+m6HEkMMU/ZaBjHgzNdJ/tQztZEX/+GKv9b47HQS/dSMWCjB+hn/SusXVcuheZnE9loHLUAKL/Jf5G6xESRgKv7gMEi4xSlv73k5jxHppyjzLndz4yYvvbfox2f0eaHy3RZh5v/AGBsjSmqfDJms/g3PIq+U8eoyzjB6f/orhHDB/b8OucSqZ58NgrPHmtkwOeKHE04vE07cYBvnrPmqxnrq4M3I+LOJ8nOXsEVAeqsW1Be6QPTI0X3Vczo+MZKmNdNOHmW2Pwz3hzdnXpbDJtO7BFViZgSnitYR9XTplx2rw71wCluD3Nlc19rL+hIOsrrCr9hkNnxCRfTzyG88i2ht4Brm4Pp9AcPThzjp9q0S6hVl9Ku1pEYc7oi72ReLAl2sxW0QhSIgXk9WZYE6zhmnuWjHq/zoWr+8/bP0cr9m0nGOnkwIJCPCmJxxNA9Z7y2J4Irh5pXIOvcWcozMrO/RRoFpXHDzD9/rvQ6+rQos3kVm5HTbtAWMwP3IaZygX/uA5vAGcMtqWUfyuE+DiwUQiRIes095WJGc57C2aqAKSCosewbQ3bNY22WpN4Oo2Q+Sh6nIzScdqDMZ4rvMauGAdakkTyi/t39VH0DiwjTb6rkhOxLv5r45soyZlDHpyxzjm4sUhP6mQy7OSDryBx2yq9qR7cmoeMadHY147H4cCluvjOzm9j2iaaonFv9e/zw5f6zoqQJyvizx9jtf/tsffjChxDlylQ0jiTIKTE73Th8RYQ6Z5Gd/LMAUQsE6Uj0Q4SVEVlVkMeJW1JUNJUxLsJ2reMOcbRFgQjknqkEdM2KfUV0ZvqwRfrYOYv3sQ81otJL9rU6rPS2F4IRnrhDL/ONXkuEnoXbeUeLEXBxkKTWYVl/9y9FAHJJGePjsxJGYYqJLbTSWvdPKqObeNIQzuGc+qo/DPenH3wQIaS1jzqr+wBYaPqcVThGDXQOZfzaYUFTNuUZoMEWxEolkVx9JRYZrSg6VwC6Em+Pn8M55GlNXnsaQrRF0+jK4L84LtY6sl24hL8GZ2PXPVhfvhS3zkv9nZ07KDbDKNImZUr7Q5x93yBb4x7dS5c3Y/+OZps93Ag08mb04pJuDSSepJSJX/CdNCjzdnB11j3ulkUOkZZVxOKz4dr1cqBa5O0o+S78znW08srHc289c7eCePps5GRrAY+D8SBUuCzUspD4z6S9yCWVkxj7c67SNstOBvTFBx5lfbCEtRIHBlUMKWNC8eID8Z4rPAGJlrCQ6qymDzPu9jJfFx9Gm47TVP0OJapIzMF502K15ZfyxuNG7BsCyHh7qc7uGL2bPqu+wi6WcT3XjlCWunAtItpLg+RMBI4VQdJI8muE4cx7PyzOvdkRfz5Y6RAoLErxuzp3bwReg6nZWYNfdMavkgGly25cdpqls25BXP+6J0e+1/KPl+Yp+qfypYFKApBxUdk6xtgmlkrQYfjjJmzke7vSKSuufroTfZgS4sTsS5MU6B0pZCGiVZZiR2N0H3Px9mb9lE7hp3ZhWKksdUW+bjxihIAljgSBP7hX9hW68AWEoeiYQvIceYObEVeqoBkkrNHRmOkEU2TKNKFJQx0bxito403AlPxvPE62nXldEcZlX/Gk7PTET+J/FIU2UO2470kPyc+LnPGuWolndt/iiArHbCFYO/+jSxfeNeYAfW5nHuSr88fw/ka4MYrSuiNpXn9na0k8o+cbHUoUSzJKmsqV06ZQfE9Y+86jLSI6mk/hilsUE8534wXVw9fqB3tjFF6qIm2mhxsp4P8qCSuO6hyLJ+wjPFoC4OjnTE+u7KGlGEzJdWL/9le5KAfPrhjZG+yDymDFDoriKTtCePps5GR/A3wVSnlG0KIK4BHhRB/KqXcMO6jeY+hutDH1+5cmb3ByXU8vOA2TE3HPtGKP28vwuUlkLMdzbWSsYpTzhf9Ey1YlCFStBN3qgdLkxS2uEgpDgTg0BSsCyDFJSVLeTC6nB271lJwXEXtnkqi+whXfqqU19M+pJFHub+M7miKnmhsoGmEIhQqK4NnTciTFfEXhsGBQP8LNezZgeWxENjZjQk9jW6ZSJ+PosqTzYn8I8sbBr+UbfdBPCUCp+bAsAxEMknZ0dBJz24QOcGBbMHwY5xpO3zw/PD5wvzr298jkcmAkCS6Z6Kkavhx2MUXowbloXZac0r4fqIMa9PEOn2c5vCgK0OClIU53bRqcTbPdZJwZ5uA57ry+OL8PxzYFbqEAckkZ48Al+oilOlBOGxUBGsKHDxxkrM1afOZnBj2oiUTyj/9nF1UnEtTWCCQYEsUIQmkItSWX/ic0evq0GbMwKYNS8sWxb2uH+OWaPOABexIQdO5zNdJvr4wDC5s7OcVzchQmXqcQ7pFf0jsT1isXvLRId8ZCaMtoqzjxxEOiSIlSEHQ0seFqwc3UnLpCj/e3iZSoAAA0IhJREFU2ICRSEKT5Ka0Ro8/263SxGD7YZsD+ycmY3wmnv7qPXMpeHot0WgMraICOxbFPHCQHZgkzARV/ip6k2FSkQVE4v4J5emzkZHcMOif9wghbgWeBK6ekBG9x9D/ALywpxTjSCN54W46iiOoAqYEC0gaiYF26eONgYmWbkF64yQCFlKF5hkJsNPUaWVIkebmq50E7JrzJsXl19yP6+G3+M+Zt2NWaOiqwt/sPEjtqpVDJnq+X1AQKcSpOslYaYI+cU6EPFkRPz7of6EXqNNpYztSkNXsKYKuQiearpyxde7Rzhgp0Ykzt4loJoRiSJxKAI9D8vFj+ZR07ACXCywL7733Dml9C6OT/1hb87u636KlLwa2A0uJoJs21Z4KOjpaaCqtZYpfp6VwBqZpUTTB2eLhYxueQWmwXZhKHyKZQ3VIEppWwp21d7OkZOmox7hYc3uSs0dGf4GkEIKEEac7V2BIQV64mz53kJTu4tY5JRM6hn7O7rFB0cqQ7AEFLClQmjJULx+fOVPqm49l9YKWASGIagY7O3Ywr2jNqAH1uc7XSb6+cAzmlaa+1+iZbYGSDbSFKbneNZ+pc85cajH4OG29CZ7e0cJVswTb1BYAbCEo6DNYMu2GceFqOCUrSaYtVBVK7RQdCDqrphCMnyDlDxCzdAIeQTo0MRnjM/H04d31uB97DLu7m0x3N9rUatprclnf9GvC6RDhdIhSbyl/cN0tQ+raJgLn3EFSSnni5DblJDi1InQZKXRNoafUhVnehBQJjvQdptRbNkSvNJ4V3P0T7anDjbzaFT+1PyQBIelMdFLiz2dpxUwq/Of/EtHr6ui879OYe0PkJUL0enJosF3cevL821qOoLm6qczNwdPpwbJN3LpnwHIQuBRFYh9Y9L/QE50luOJXoJbvQJE2SY9GnunB9ObS3BdiyRhTwucLk8h5iqjaC7ogk/CjxRdCpJLYqy9krSZNE7WqEs+9Hz3t+2e7JT2Y1Le1FCClhXScACkxPbtp765C7Y5Q2XwYM9rJlEARutd9UbLFw184Q/TaSoqknYt0O+n1SzxSG7GS/XIISCY5O4vqQDWaotEWbcUGDit7UPyLCTmK0GyTGmXkZhYTwdlHO2O8/c4utqQ8aLaNqdsc1OIDn7nQ82Rqr0M7eAiztBFktp9JY8te7qy7e8yAerCkZPDfk5gY9HN1R6KFdNHWk/IRQILb1ghO/ziNZyGX6z9OW2+C9nCK1w90srF1AwSTqJbEVgSLGqHu937ntO+eD1cPbqTUZiQwLElX0kJNpXCljtPndyH1FNLOEI1KPBPI1WPx9JSeFlBUHAsWYLW24LnvPo7k2CidCtNyp9OV6GRN1Y2nuQBNBM6rXbuUMjneA3kvYugWkI+PtTzHwbIYh1Ix8otq6CbK6qo1A1ntiajgri704W+PonYILGmDIrL/y/ipC1zPrdUrxiWrXi0TaNKm1x1Es0wqju4B1qC5+ng78nPMkInWqXH/jAdIWakhbiSTVevjizO9/Ptf6Hv+5xcUPb6BIzUK2xfn01Mh6fEEICZ4bFOCdKhxwP5pcMbiaGeMiNJE0CeJZTRsCaawicXdJHu9/Kh6JX/VdISKvjZct9x6WqYEzk9CUeYtR0TnIQPb0WUOeUG4InKEK19/nopkL0hJ7fIF/N39Sy56tnh4BqV491YOWibSdoCiIJxj7xRcakxydrbwe2HetTT1PoW0nfQhWZXeQflRJ9V2jJo/+vpp35kozq4u9KG8abHVJTA9KRCS/dZOHt+1a0S72HPF9Hl1OA4UYcrjA/rfd7rfoSXaTHVh5TnLESZx/hiLr/t55adb/5t3Umns/jpWKTC7VvBcX5Jn3nqX2xeWj8rVg6UfT+9o4fUDnUTtDhy+A6gKSEVBMyV5VbPGhasbu7Le1bYtB3y9Pz3dTdd//hxXeD+/ud8NCDQEue5clpXlcUvtxZlHw3m6PNxO70MWZmvLQHGkS+0jaSYxrAxB58Ta/Q3GeQXbk8hi8IqwqztNWtW54chxmmb5Sdgp3I6s+XxLtJkKf+WEFUwtKFzAS0eeQ1gWtg1lh130KDfSEJrBDxv6KL7nVNHA+QQojV0xGg2de3f/hs48Bc3djVGf4djdy1hv7ydhJMhx5dCV6KQt1sqddXePeI0mq9YvHGf7MiwPt+P4zUPsytV58u6p2EIidRU9cQV5ykyOdOg8Gj/O2p2tWZcZRWDb2eoZU9oYIk5OjQuhRLK7mlInE89Bz2RQLZMmbyEVoROohSN7tZ7rlnRjV4wfb2xAt2tI2wfIC0LQ7WJNOEmwrw00DVQVtbDgkmWL+895eHc9vd//KSeKdVTbpiq3jrBLDMjFJv2HL19YmVxsJQVqEksKpJXL1e37UfwX33VjqfBw5btdvH2VC8WEkJbg8d0beXFbesAr/0Lm0VXxIG/GIeOxUW2JsMwzShon+Xp8cTZ8rbn6aIi/ha0x0CiMjlq6exdRUyJo6Irz6JbRudq04MsnO4vevbiCNw91YSsdYItsh19p448aLHTWjDjGc+Hqwb8HCbfOL2N5XQHFWzYSbt/P1pIEUrpRZLbxma5p3D5nwcAO98XA4N0ZM5XBz6kNg5Z0B4+0PokqVFKmwcLALRNq9zcYk8H2KDibF+YQM/d0iinhdsplgM+8nKb+01W87mjj1eYNbGp9nQcXfZnaotwJKZhaUrKUTxV9mle3PIK/twct7qDXF6Ug36LHhi313azb035e2Yo3D3fy7RcOoZmlKCtWote8QsYRZL1tou37N7ScXPpSvbTHTwCC5489z6LixZdDkdj7EmfzMmyJNrP/he8ji9O8vrgMSzVxJV2kXQrS9NMT84FIU5LjpiOURCKoKfJxrDNG0jBJ0wXObmTTcu680k2uz0lPZxlPHOpBN/rwWBmqwm0ohQUjFtv041yC4v7fVRxw05mazYzyfD6SW4vnpa9hKkpWslJZMeb5Jhr9L5pMbx+iciWf6H0ZSwnRYnXhkVl7q8nM4KXFmXg73y9QrCBCakg7Ra7MFk5ZrS2kXt14WuZvIvmrfdHVmMc2oNp9SLKFjC4thpm0x4WzlXQtZksXTHsHS9j0aWlCrQ1Qfu2o353k6/HF2fD1y+8+TlRke1mAgLSTgvA8IorgRCgFglG5OpmxsGzJd144NNDo5oGrp/Cjt7egOuIgbVQpufXtNDV/cceo4zxbrh7+ewoDLqoLfSQ9HuyuLpw5TiIBFVvXEIrgnrp7Jqwj42gYzMFqTzd/aDuprsihVYuypX4tCW+CoF7Iwb42XjkxsXZ/gzEZbI+As31hDl4RVjTsw//QnmyluaLQ68xDER3ku/IHGr5cU145IQVTjV0xnjzkJFzmwq72odoGMrWZE+1BPDlZLdL5ZCsau2J854VDdEWyenR3ZQIKNISUoGgImcKTCuNUncSNOA7VQXeii0fe3chHZ9wz8AB/EKrWL1Y280wvw5ZoM//+6teIOY7T85kK9HQG3JDWNFTh5XeXLyMRC7J2ZyuJtInHoYGAtt4EGdMibnXgrXwFFAtL0fDKP2J+cBr/tGEvPmGRMU3ufee3VMS68P9/XxtxW/J8f5fQe2nRngHd5njKh3VU0KwFaFp0I5Wdx5j5yY+M2/nOBwOFp26VDsNiv8iQVG0kNv19OSczg5cOZ8PbSytm8lKzh1gmgVe4mdfWReadRgASjz2Ga9XKIXNsovirsSvGN3ZEiPtvxMw8j3AlAJuweoAcfSFQdsGcLXAgnEV4DS+KIwlY/KbpORbMumFIAHShTXTei7hc+PrFY8/z4olXsdSsP7+wbLT2KkxPLRWag6unF7D5cPeIXB1NGFgyawpl23JAZ//M7t1oRdsBiWJDXsggf9Ut48Kdo/0eq6GB1tIati7Mw2mECLgCKJ4APsdFSBkPwwBPKxYdvX00SjdK6z5+9ukqDL2D7mSYeNoEqUy43d9gTAbbI+BcXpj9AWWyYTvh8nKEENjRCOVtKbRajd5UD6qiDRRJjtcW+GCyONoZI610oGgZbCkQEvxmiEXOo9x9z0cAWLen/ZyzFUc7Y6iKQNcUMoaFjYYHQLVPWnYKkmYKVToBBdsWZCzJ1qM9Q6x+LocisYnERGczz+Zl2BJtpjHSSGfzQdItTQgsDF0HbFRpU6BVccfM+5lXUsvRzhhfvHEaKcOmtshHa1+Cb79wCCEEmqcXoVhI04d0JtBc3Wypz6U3FCevvYWEVEg7XKilpag5OeP2G6sLfdx9tZOnGyRehxubNDuJ8dzUNZiKilY4j78tmcrEl7GMjoFiJqsbc0oDO0syJFwaOgaWnd2iry1aOJkZvEQ4W952aAouVJyaE/ett6I0/ArF7wfTxDxw8LSgZDz4a7RupCXk0txZjlV1BN20kY4Yq2bGWV5ecEGcrSqCRAbUVCFeRYBiYyPoIclvDr7AndUfH2rbdgFNdN5ruBz4GrKB9g/e+R6WamfX6qbEF5MsM6ZQdO1UKvM9pAyb+VNyR+RqoQj0k97ZQhHUFvnYUt9NH9tBjYOQ2BpYDpVq7/hkl0f6PUZ9PYeee4VvL7uB+MydSLdKSsQpV3ImrJnNWOjn6a7eMKqU1JYEaXMUIPNzKc2dgoi3UxuYy7vtU4gYE2v3NxiTwfYIOJ+tNG3WTISuYR5rBCD5wgtc/Wf3ohUUUuYrH2hlPh5bKsPJ4rMra3DaxaSkG5QkCBshLebs3kL5be3odXXnla2oLfLhdWoYpk2fLVFSNUhzF0KPI4VEADYSI62gapKMlGD5KdZnETm5Ffp+z5DAxGYzz2TL9PbxQ2xq3kp9YjMuXcdob8eyTZIeNZtrlQJLUQnHinlsU4zH5LsoqhhyrKOdMTxOlaKAk4NdBWhCQzgT5PvcNHSk2XxkHSHTQ2+gjJJIB1Vdx5FeMe5dHCtzc0jafcSTWZ/27hNRTL2AAitJr8tLQ2/qjMH2RGasqgt9fOHmXB7asZ5MtJ24S6JKgSkkprQG3He+es9cttR3j+u5J3FmnA1vN0YaUYRKkaeIrkQne0pMro5EMEMhhKKAxzPu4xqrG2mP5kbNOMC2UaTEUiSKnjzvDHNtkQ9NESgimylVM7mke+pwlbyLENmW3a80ruOtXcXodiGJtIWmCMrzPHRHUx8Izr6UfN3PTyntMD8/8FDW1OBkwOzISMzGq9meuwB7VytIxuTqaNIg4NZx6ioPXD2FLfXdPLHrHaz8Aygn38+KZbNsX4opv3/VuPw+OH3xaR44SKMjFzMvjYqJbfhxOGFN1Y1jxjsTxdX9z86B9Vso3PA0ZZkIvbP8pLw67fETuHUP9826kw9Pzb2oPD0ZbI+A8yE6va4O7333Ef2fH7B3bpBHV6ro7a+hJ4KAQBEKmqLx4KIvX3DAvaW+m954htIcF/G0Scqw+dqdK9nWUs6B3b9kvziIKhTWLrGYuv8t6urqzitbUV3o47Mra/i/aw9gWDZmLIjVvBJf2UacVpKM1wYkipoh25pKAVT64mmwfazd2XoaWbwfMZE6x7FeDG8fP8S/vv1vWEoEqcTJ13NwREOseKsXgJdXlRF3ewAfxfosWtMWEklNkX/IsfolHH10UJxTwMqKz6G5e3h1Ty+vuZ/G9JoEHSb2oatZdXgbFfFuPJ/8woh+rRdCnv0+yE7VQSwRJtS5GaGvoNvKQUcybe7UMb9/MfTSqe7duHrb8RgWMY/A6fDi8eTw+Su+MOS57tfbrtvT/r6e+5cTzoa3qwPV2NLmSN9hADZau6mdUUxpj5V1cUokxn1cRztjxNMmTl0lkTY52hlj9ZySbEDw/Gv0bOjgxRIHMa+BasP2jm3cULV6TNeQsZCxbFKGBYAUCs72Shw5uzHc2aI6qSaJae8w3XkHrWYcy8q6Sli2/EBw9qXi635+SolOYjm/QigZTkr1ETa4D88kqi2mvDDIsc7YqFytKwrxtElFvofbF5ZTme/hxxsb6I2niTkO4bZNsFUEFjkRk1Ul1407Vw+Bx0Plsb0os4ox3WlQ0hhSo8xXPupXJpqry8PteH75n8hMjLaAxfO3lqA5NExpcf+MB7KF7KnYReXpyWB7FJxPcKrW1HDCmeSRFUFCXtBJ4M6oqEJlSmDKgHb7QoLtxq4Ya3e20hdP0xdLU5HvGfTATOOpLVNJetvIWC402UpjvJkLUWqlDBshBA5NQZPgNOpYuX43x6Y3cXwaJ2s6svon3S4kLwCLqwQ5spzn3237QGhXJ1LnONaLYdeJw9gihVRTgE2P2YuWo6DEPbTYi2k5sQTFFyWTykd3u/E4VZCcdizN1UdgyjoSmQy6BiWlN5OJTsGkHU2TGHEvthLG4zjBwtZ9iLzc07y1x4M8qwPVeHQPSSNBKN3H8ZI0wZJNLH0jjyuvXEnd4tljfn+i9dKNXTGat3SR0iFUkG2xraPw+Su+MKSZzaRu+9LhTLxd4a9kddUanqr/DV7NgxVP0OKMUdQZnbDMtktX6AinsKVEEQKXrgyM1Zw7lV+/u5Jkx0HsqnryoylMV+q83xNHO2MYlsSpK9gSXJrCR9I6HdtjbL7GixQyKy/wHqCldwE+R/FAW+uuSOoDwdmXiq/7eUHN249U4iebjYFiKETbVtDLAkxLQemKjcrVI4293/M6Py9OxrEbHNnklz9i8sCLMeq+MdRbe7wDXauhgUpSXJN6hzfSEp87gNMTIGWN7Fs/+FpM1O7CgTcPUWg6qHK52FdjELZjFDurSZqJgXFdbJ6eDLbHE4kEbXNK0BQdzQLTNlGEwKN7TtNuny+OdsZQVMGs8iAdoSS3LywfYnVDMhfdDYYzhWnq5P/6JYyl9513cURWSqLSF5MgoCDgYfE189mmNJ2UKWS127ripThXweNwcPucBZip3PPSHL5XMVE6x7FeDAtLp/Niiw3SOLkVKbFUwdPXLiHScQ1pM4A/XYlhmEyp8vKlm7IijOHHaow0oqqS4kCQQ70HefzwY/i0IBpXk7ItdFc3/miKj7/5OhWJHryf/Pxp82k8iKvCX8mDi77MT7Z+l55UI454Bls10II6rTMW4D1Dc4eJzFg1dsX4x0e2k2r0YRbMxqPtoSghMOpyaO4LEe5pH7imk44OlzfKfeUkjDixTBQhbZy+PLSqXOxoBLOhAVbfcOaDnANShk1xjhOnppE2szuR/TjuysMK5BDsE3TXGvRooKY6iWWi53Wu4Xyd73Ny7ZqriP7jz9m5UJD0gpACVajUVqX4wrJTgVZjV+wDw9mXgq99vjBp36skxfZsKptsC/V05xwSoYX43Q6SGZMphaNz9Uhj7+ebsLIL1RFBsWyEkCzfHmL5onsmhKv7kVy/geiPfkSbHmdfdZSMw0WvEqfIDowZ60wURw44RoU0mLqG+w//ijenOQiTJBI6TL6zmBOdPhodsYvO05PB9jngTFsv2qyZVPxMwRlPEzQUbBd8buo9iLyZ7DpxmIWl0y9YQjLQHTBtkut1Dhjd9/83l16GffhKNGcPq/e+Tmu+wH9SSnI+qC708fV75w9om5bXFdDw1nYcPQoxW0EoJrbp5jZWM33pzIFmNvj5QFS1TzTGmnNXTpnBR8Mf4fH6/806YgiQKGTKWyjoaiNKkETGRFcUrpleOHCc1XNKaOyKsX7fyQAxUI0tLRrDxzBsA9VK02N1cN2cJDtaJHY0hjedoiTSiVpZMWLHyPEgrpZoMxua1vNOeB+GS6Gpyk1Ot8W60g8hjiTQj45t0TSRGaujnTGMeJJ8I05XaiqaeYRMsRepuXh6cxppNAzJEk3O/csDIz0/p+RKTlLJKIY7hdl8DDjlSNIaLBm3+1db5MPr0DFtG69DH/Js1Bb5cOgqUcUFaSeKFgMVnqp/irkFV5zz+2Ikvq4u9BG68hYWv7WJTWuUbINhLUpZPqcFcZPz9sIwGl+3RJv5yeF/I+07AfbJQNsWkHGT01JEyCUGuPojS7P3fHDzmgGuHkkadbKW5Ns73gFsbFWiW5IczTdhXA1g1NcT/vu/x+7uYf/1ecS9TmSmEFsYhDtmjulfPVFzbcCJRLPpdLnYuaKatLeLSnIJaYJwx0yea0jy4rbsu+RizvfJYPsscTZbL3pdHe5bb2XZtqfA6WRuUwa3V+VboT4MO59tu7MNZi7kpo41SasLffzd/UvY90QnPPE4L92hk3KqPGus5QvtM4dsdZ/rOQefR9YuQXRvQMEGqaAaCvLFTVy5aBV6+cX11Hw/42zmXMm+A/jSJlG/ysnuM6AbmDUpKlMe5lbmMLciyG93tQ0pqB3sQPCFm3Ppt64TCEzLwsKmoWkv3s4T5PSl6c538OaqYm6efhclgxZug18uF0JcLdFmvrPz27TH2zGFxJ2wyDgUcrtcdNuFFJ1lFmaiMla1RT50r5te3YMjZPKxBh3Xg3dzxAryitJMYUAnEvEPjO/97ujwXsCoxWoDcqUktq4SWH4tyrbeAUeShp0H+Vaoe9y22c/E2X9zSx2vf/dpXiuLEg0IhCmxM5nzlpKMNPe0wgLUYw6UlAbOFAiLzW1PcXf06iEdjicD7fPHWHy9vmk97fE2bNsGIRCWxBO3kfVzUQMzqPRnuXr1nGLKcz0Dx+lvXjOajr6xK8aW+m52dvyGlJ3IvgMEeJI2S+ffPiSrPV5c3Q/zwEGwJe1FDl670k/EJ7CVXnRZgJqaekm4emAhYSngDHG8speIVyEqwvjtIpTU1CEZ/dVzSi7aXL+kwbYQIg94FKgGGoH7pJR9I3zOAvac/LNJSnnnxRpjP862mcgPCvaRnqOjmhazt3bSYLtO+17/8c53oo81SasLfRRXeFhfpZFyqoSDGoYd4T+3/xtfWvJnLClZOvDQuXRlwFLoXMYxdc4Krqm/hrXxrYiUG1QD1Wwk8fgTBP/qK8D46sI+qC+BM8252M9/QfvTzxN9IBeUfq9niaYKls0u56MzFg7R9PUfZ1tD75C/d504jCIUqoNTOdB9AMO2kFJwONNNgaqTLLQI5ai861Q5XnaEL5/siDrSPV49p+Scf2djV4wXj75DIpOmSA0SlSEyDgXVklzZCOvmBS751nZ1oY+/vrqI3W8+QVXXcSqVNAlXGU+ceIy0L0aLVAjod1FbNO+SjO9i4f3A2RX+Su6f8QAP7fkhqlB5Kq+RTzqTFDdnHUkuNmfXLZ5NwbTpeNa/w2MfLsKS0JvuHSIluVDOdq5ayZwXnmKTUJBKVsaSsKOse/cJPnPNlyf5ehww2nzb3r6Nl488NxBoA0jTyW2/DbPo5hmcWL5kyLUazNejFUpC9jr/7ePv0hZrwT3lHVT9ZAmVJblqb5qa3z/VxGY8ubr/3hafbGSz72o/oRwNTdHIIFESNThl0SXh6upCH3+1OMDu7zxKLNDIVtOgzllNj8tgRdENbGotumTvkkud2f4KsF5K+U0hxFdO/v2XI3wuKaVccFFHNgxnaytl2ga5GZ2QX6FtTgnTlBS64hv4nktXJtwxQZs1k/IeiaWCoQtsRRA34/zXrv+kLjCXQ4fLMGNT6QinKM5x4nXo5zyOW2+4n3ee20nc6MUVS3PF4RPEDz2O596PotfVjZsu7IPSkW+kF9TgOWdZkq5IisauGGZTEwdeeJ2ip35F+/w8MHQgDapECIVcdz73z1850CJ3+NxdWpPHnqbQwN8LS6dT3/gqSSOBhp+MmUGkg0iRwdmRR6KqA4Qgkuskafawvmk9n57zu+Nyj09V6EuSQYNcIgRSNlN7VK7ZFuWqVR/lqruXXBYv75Kdm/E27kSrqMCOmRw7uh3Lk6Y0x008k+LuK5zvy7k5DO8Lzk5ZKVSh4lQdJO0YbXNKqAg4sFMpai4FZxcW4ElDTsgiElCR2ANSEjOVyz89tZd42jxvztbr6lj5R3/Guy99k7eW6UhFYiuw7sRGrmi/hnBP5SRfnwPOlq+/u+VRNrY9gmGlQRXZLHVGQ9+/iOC8Imb/3gMML/sefJzRCiWh3+XGQvceA2ywVcAiJ2Kc5kAynlzdf2//zGwiNxAgVp6DrSqoCjiEypVTp/DRGZfuvpfs3Iz3yNvsX1ZCyqVi2TGCzmLW1F7NyvLcS/YuudTB9l3AypP//DCwkZGJ+5LjbDRG1YFqdLeXkF9FNS3KOwyq8j18ddWp710Mx4SjaR+ld/0B9z3xDX5+fwkJt4oU0JfuZVvXGxBU8MqPYIdKcWoapn3uHZQq/JX8+fw/Zu+//H84OkO0ljmhI473ZHZ7vHRhHwRnh7G8Wfs9m9fuauX5d9t4bssxrOZmRFpBrLydualXEaYTqSsgIceVyxfn/+FA5nm0bcPyXM/Qv/O+TGOkkXea23ih8VlsJQG2gymd3RwvtEj7naQxSBsGz9Y/zZz8OdQWzbqge9zYFePpHS3EMwbluRW0di0i7n8RLaPRqRsUGS5cq1ZeFpIMo76e+GOP0SbCtNopqvwFeCqr6W55HVtmfcErc3Mu6RgvEt4XnO1SXXQnu7CljRDg0lzIdALMi8vZ/c/olEVXU7n2FwgpsYVAMW3S8QRr971DjrwCw7Zx6iq2lOfN2e7VN3DXro0cCL9FOKBhK4KEyPC97f/B71/x1Um+PkucLV8/vv85MrkvI4QNWlYehOlEP7AQd6SCWZ9aPuSYozXCgZF3VWqLfOj6frT8XQg1DULij1h8/JUkdf801IHkQt7H/WPriqQG7m1nWxebtu5CrapiZ1UcJFhCUuQpHJLoudgYzNPP1LpQLSe2Qxuw+8PPJZuPlzrYLpZSnjj5z+1A8SifcwkhtgMm8E0p5dMjfUgI8QXgCwBVVVXjPNSz0xhdV3sThnWE2v9ZS2lEJfqd71D+7X+nek4djV3ZCWvbcsIcE/pJQI3k8EfGVD712HEevrecWMAGCWCDsEk59qGIMtKmOaRo51y2AKfOWUFq4Rq+r23CUkC1JL/77GN45y6lpWbOgKXUhawiPwjODmd6QbWHU5iWpEyzOdrVi5QKBb6j9MxrYH9SoTARpYz51FyxiDW1Vw+ReMTTJpYtefDWGUO2DYfP5Qp/Ja29Cd7t/CU5qRgZReH6F0NcdaSen82aQkR3gJ3KarqlyabWTXx58dLz1v4NHl9HOA0ZAzPZjeH3IhSNWF6Ct2+bxoJL2J59MMwDBzmRp/Kj+6eRlBKHP8D0eJgcRz5eh4uMZYxpdfU+wrhyNkwsb4/G2f1FkkIIEkac0B1XIPc8C5p+0Tj7tEzhzb/LTVt/xKM365go9FoR1u0+gtvMywYzto0ixAVxdt3dv8PHv7KOh+/yE/NqSCHozfTxUuMrfHblvZN8fRY4G75OafUYwQ0nXUcACZopuOexLnxlNnM/u3zAynQkrl4xveg0bf9gNHbFeHvXW6jBtWiaRNjgTZjcsiXOtZ/7xxG7oJ4PVw+eo/368a7uMEZbOxtK5mFWurECRymVTky3gw9N/dC4NO47X5gHDoKisuWmeXTnxgg48jFw09wXYsm5q2bGFRMebAshXgFG+pl/M/gPKaUUQshRDjNFStkqhKgBNggh9kgpjw7/kJTyh8APAZYsWTLasSYE/QVepm2iZKLUqRqKy4mMxTAPHKQ1WDIwaZFw6/yygUrx8cJgEuhKpzkeKKbiWA+xrgVY3n0ompEtgxOwsKKK1cvmDSHX89kC7Fx1BdbWLeT0pAgFVHaX+Niw7hjUKOge94QWF70Xcabtx8EvqH5NXjhhEImnMcMduDIZbHeEnnnHkM4UaUXi9xRy05Lbuab82oHz9DfS6I6lMUybb79wiPJcz6jXr7Erxn9tfJOYnkAx8ynItFKV7KDM9PIn0z7PT1x72dO7feDz+a484PyLXPrnanmeBwEsViIkjx9n29Q00hMCofCmt5XbTurDLyVaos0c1pvZX6nR7vBiG14MK0PPkW6kF7RcG4/DfUlaE08ELiZnnzzOReft6kA1mqJxIt4GZJvb1JX7KLf8WK0tpF7dOOGcPTxoa5mxAO92HV/EJhTUsZGkAtvR+mq5Z+F8CgOu0zTb58rZel0dyxfdxZG3nmT9qnwsVUEK2N65gcMNAb5++z2TfH0Soy1iRuPrNw938p0XDmE46zHynkcVmVMHk4LVL0dY06OS/38/eZrE41y5+p+e2ktYeZ1MLiAkKKBLyfKP/B865i3j6AjuJefD1cPn6K3zy/BvfZPWph2sm1uEXX4Y22HQoRlUaOUsKl58Tscfd3g87Ao6WFcnsN2CiOhDjcHTm9MsLLi0uywTHmxLKdeM9t+EEB1CiFIp5QkhRCnQOcoxWk/+f4MQYiOwEBiRuC8Vsnptk3xXPt3RKM1KH4VHTjVKGD5pCwOuiavEjabQ3W7mfuZj7Hnol2g9RVjlDaAZAAgUlk2ZyoqpRdmxn7SBG7xNdLate2unL8fZ+hLdShMmNn16AMOyKQp3EXJVjMs24uUgIxgPnGn7cfi13lLfTUtPAlXa2OkMdSfquWf3ixyY4+CVGUEyisR269ge12mBXm2RD8uWGKaNriloKmPei6OdMWQsgOY1MXQT09CpTHnI+X9fJz1vGS3PulECDUglRaE3yA1Vq0f9jcNtx0bCUF2ixpUlcX4qToDqABWwBQkRZUfHjksabLdEm/n25m+QbjlOdLaOLSSKJwOWitucBuE65lUJbp+z4JIvCsYLHwTOHt7cxs4YtObaFL7yDpC1ADxcs2RCOXt40DZ9Xh3p9nuxMs8DIKSKVEwyjqMsr1t9mgvF+XK2576PsuJPnmXbYotQUM02/hUpov5neeVYMZ8rvOmCftf7ga/HWsSMxNeNXTH+fd1moq6dOHL3oappEKBYEs0QrF6f4BPTPoTnbz56Wtb5fLg6rh3C9O/PBtoIhGVzjWc+2sJbz3rxdTZcPXyOLnEk8K99mB6Pm/SMDnCYIFR8uv+M7dknGkZ9PdHvfIdt8/zYWgbFyMdSUrhSC8DIu+SSpkstI3kW+DTwzZP//8zwDwghcoGElDIthCgAVgDfuqijPAv0Z0p6Uz2oNlTYuQONEhoONdHlqZkw+cjAGEYggcy7u/G2ObFbpmJPOYCqmSiaOlB8c/yEk2+/cAhNBU0oIDin1r0V/ko+vuz3+cFr30TtDXFoSRLRFKKrR8Xpjb0vtxHPF/0LrmAgSne6hW0tTqoLFwIjv6Cs7m6kaWBnMihCUN3TREXoBNoxN29bHpLuXFS3+7RW4f3He/DWGQP3dri/LwzN3NQW+VAiYYhW4kTykXWbmbr6Ttyrb2DLW41EIn4KtAeI2ye4uWbRiKTan4lv6UmAgLU7W/n6ffNHrm8YNle3PLeOXl8ATAl6Gk1kC/fFCGMdD8I82+M1RhoxIiGCoQxGnoazvRrbVUo6UYzpycHr0Lmldu4l0yheArxvOHtwcxtFKEMsAFv0AB0Nrdh2zoRx9kh8nQxUcftTgkfW6OBIo6oWgYJ30Vx9wKkM6oVwtl5Xx8w//zof/++v8NO78oh7VVBAkmBT9y+5JTrrfbNwPF+cSSoynK9fObYZo+DXOPV4NgCWoFg2vrjFpx5pY8UnvoLvU58c8Vxnw9VwirNaU3tI+tcilTQAii3JSUhW5s5jS303vfE0JTluEmlz1ADzbLl6+BwtePoRDthOnl++BNgDQqCq4Ha4BrLal4qr069upNXqpalOgC6xRQYyOchk9WUhabrUwfY3gceEEL8HHAfuAxBCLAH+QEr5OWAW8AMhhA0oZPV/+y/VgEdCS7SZxkgj9894gJSVojyk4Il9DbO5kZZAMf9dLyFzDHTHhMhHBmM4CUwt9vPHv3mYTeE6thdZZPwSTdXIWGleObqZ375WRlckha4pFPgd3L2oksKA65xa96asFJ5gAb6mCCGXyU3Nz+JtL6F6V5TihdqIHdk+SPZQg227hN5Li/YM6Dav9+zmqmi2KdHOjh1IYHHxYoo70iQef4JpL2ykZN5HSWpO3EaKhS37QFEIr15GuhxQFby6jxLvyGK0FdOLTiuEHDymwRmQ3y1pxht4AkVVcGcMSuK9qIUFNHbFWLurlb5Yhr64TkXuTJZWTBvxfP3V8aqaDZETmdHJHk7N1eT6DcRfPYJ9o0QRKWyp4FS9FHrzWVS8eNwdDs7leOUhBdHTR8hp44xG+b13jyB+9z68lWUXrG99j+J9wdlwum67o8hJbSRCo+3ku7PXQJ8G3omR/PVjOF9rs2ay6l9D7C8O8u5iiWZJ4qKPnSd3eBq7YnznhUMXzNnu1Tew/O0Pw69/wY8/WUHSoyKQRDK9bGhaz+/M+d0hn/+g8fW56PSP7XuT1xq+B7ox0FVZsSW+hMWnnuodM9Dux1hc3T+mrGtTJ7HgrxBqAilOBvQJi4+/koEHF7P27X6uzlCR6xl13OfC1f1z1Kivp+fnP6dRKcRKgXCksi3nBdxTd8+odrAXg6v7CyOb/QkccSfVKQ+9ZQGWlN3IFYHll8W8vaTBtpSyBzhtP1pKuR343Ml/3gxccZGHdtYYrNXWFI17q3+fBoKU3vNxcn/2Q1rrFmPaUJQM0+cqmhD5yFhwrlqJ+uTzbMu7hmhLL2rdNqSSwpY2r7duQDg+hK75MEwb0zq1nXQurXv7XVhiMyrQmlq44lg3JSeaQVEI/fVfo/3yF6eZ65/pAXq/kPvw37rwihBvdyfwO3zYpNnQtJ7XWl4jlO5DEQrr9j3N7313P0WHOim3LP60p5em3DKqelupiHezb1UNP1uRJm6mceDAa3vGbH4x2pbu4MxNZ1sXb7/7BOrMNAVxi948nZeum8Nr/rm43mlFUQSzK4K0h1Lcvqh8TGnI4FbRHod2xmxCfxeyEpdAUIZEQzHc3FR7FzeeLPZc39Q+ZpbpXHEujgmFmw/wu89GOVGTQ+mxEHV334x/9YLzPvd7He8Hzu5H/25kW7QVG1hn7aZ2bgWt2gxMh4NiK0mf6r+onK3X1RH+y39g/8H1SLEXQxGotkl3+zGoy85dVRHomnJBnA1ZOcm8p5/i2s09Wf22omDZFi8deY7Z+XMGmqB9UPn6TDp9o76exONP8Hz388SWe0Ao2YY1pk0wYvKJV5Jc+6Vv4R4h2TQSxpLf9HOW6tqBVGPZIBeJO2Vx1SY/u6/9A+p71Qnl6vSrG7HaTlAVlAh3FGk5UaWHQq8Tn8M/ZJwXm6vNAwdp81lEphRgaxI1P0BJThEfnXs9Ff5LXBl5Epc6s/2ex7aWg/TFkxR5C+hJdfDvbzyKlliA06rmj4qqKN+/A3X5TLq6wzh9ORd9K0Ovq2PfTffR1uPFTJfi6jTxFe+gQPcjNInD00OhmY95sgp6uC6tX9M1Fir8lTy4KGsdV+Jqx5P8OtKOA2B3dA5pdgNnfoDeT16tg7f1omY7O3s3kLDCJJJhNEXj5caXiBkxbGx0UyERbqPZmaDIsgCyshFvmLaF+aSW3csjdW1EjGwPkaSZJGWlzrowb7hsRFcUOtu6EE1NzDrQQv0sJ8enuLEUlTcXekg0Hceuj1LsdyGAXK+D5XUFox6/unDkVtFjoeH15zhSLenV0xTF+tAsH7LGx7TCsoEFxHg7HIxVkDo4YDi2703273ickr4+5r/YiTa1GteqlRd07klcepy6z7kszLuWpt5nEVaATlLsqcxhxht70ArnXTLO3lVQS4/RjjtzHNURwUKw8cRm5rVfQ23RLLxODQEjcvZnV9awraGXpTV5Z3z29Lo6cr7xDVZ84y/ZttgiHMj2ZEgYCf5zy7f40vK/YEnJ0g8MXw+1IvWOqtOv37GfAy+8jrrtaY5V9LLp6hwsVck2lDFt5u6P8oC1hOn/9Men6bPPZSyDuai2yIdl7SHq3g1CIpAIS1J32MPjlV9AdgCdTRPK1WZXN1gWmrOXQM5uTN2Bolm4dN/AO+hicPVIC7tWZ5KfrpSYigmWwnXeBSxfdP9lJYeaDLYvAI1dMZ7enCbiN+mNN4EjgnSksV2tiN7baF99B4t+/d98ueNNjllOZtZKqgtXXvRxatPqkL3tAFipIGgG3ZkedKnz6eV1uMy6UTMS6/Zks4rr9rSPSaIV/srsxC6H8ANHif3gB7QXaLSWOal4+TFmLVs2sMI/0wP5fvFqHSrByFBc2olbsXGqTmxpoykacSOGLbP2UIawEWlJedspC7n22nx+8QczsfOCpNQ+TEOioCCRCATXV6wclVAGkxJw2gvxd0uaefvdJ5h1oIUFR1ro2VrAKzcUkPHmkcbG7esj3pPH3KocVkwvPKus1UjZmdGyXsf2vcn3Mi9jLndiCyeqKtErAug+35AFxHg7HIxW4DT4+nzh5lwePfIjMotVtMU13PKSxLz2AeYGS6g+4xkmcbli+H1eNmsKwvagaklMaRKbcyVVW5++5JxtpvNIdc3BU/wOQkkTVVI8tOeHfHX53436LDR2xfjxxgYM22ZPU2hMR4t+uFffwEz+lU98/6/52R0B4m4VWxVEjdhA1+Ez+em/H/j6NCtSRtZOH3puPf/8cgPJ3E4yH/MidIF9slmNsCU5MYtP1X2cGZ/4w3M+/1hc3brj19iBZxBKtkuwsLLn0qsfQLYpeJwaibQ5YVxt1NeTfnUDKAr7prmwXVDtLScq0kMKIyeaq0e6NtWFPt5JHiEadJIXF0QdCu19DsxULvgv6PTjislg+wJwtDOGNPKoMD9Ku70FzdlAGg3DTuF0dDNj0XKUtT6K332bYkCLN2HcdM15r3bPFyuWz+TpfT2ciBnoSgaRdFOYiKFWBAn6BNeUj7zNcr4k6rnvozRsepaHb3ZiKWAJnaU/+l+uSUhm3LH6jA/k+8Wr9WhnbMi23g3T57LP2EU8EwbLwmHYpBUbhArCQkRzmPtWlJKONKgqSn4+x75yP1HtAEXuXMx0GF11oCkaEkmhu2hMV5DBpHTjFSUD97Ij0cIjG79HfWgd1kJJ/SwnJT9z49ScxHKcSCKoiiCRVlCEYPWcYlZMLzqva/D28UP818Y3kZkCRCaf2xeVM7UsjaF10rbzt5jSJtdyEXKYXOdZSNni26gOVI9Y8DmeL/Dhx8vuQGQozXERT5vsOnEYU4GciElnQOGni5fjkGU89dTe92zmbhKnc1pQK8Mbv46Y7yVAZX/lMa6u9FG869Jx9vK6An7jd9IeqYTCvQg1iWrapONhdnbs4M66u88oDTsXvnavvoFr+Rfkf3+Fn9+ZQ9yjYmuCUCbKf+38Lv987dff93w93Ir0yroC7l5cMaBVTr26EfPIEfa800xy+UyMWTuRDgMpFJASRUr8OPmDBZ9hxsK7zuncY3F1dzTFi6/+mjfST5JyCVBAMSXetOTzpfdCzSpefWw3ibR5wVw9xFPbkty+qHwg451+dSN2NMaBNdPZcJVFNKATzXRQ6i09ze5vIrl6/b524mkTp64OFIBqrj42ikNEPBD2Cqx0gFionF2XGVdPBtsXgH6SiUT8OJ01pHgX4ZCoCB6YV0fdjNnE7ruP6P/8AMXvB9PEPHDwogfb1YU+/u/vreDV7z9Cz45d1K/oQ5UmznhmIIPYX+Q5ONA5XxLV6+ro+z+fwmp4ChI6bSUBnrm6iOfePsT/SUpW3bdmzAdyvFfHlwr91y+eNsn1Orh55lxu6vw4b/72H7F7eihuS/D43RV05jpBl6CaHFqWouNEKbU3fJjeu67l9Y5f0xftozfZR5G7hC/O/0PaYq0DxZSjZbWHv3gBdEWhI9FC3PcMe1IniOXr6GmLSEDnmbtLaZldDCJ7r/16gCumB7lt2rzzJu+WaDM/2PvvRL0hhE8l2rSSR3Z0ojS/QLHDgEQb0jbpU0w04WDpojuYWr4CuLga0MauGGt3ttIXT9MXS1OR76HMzLC9r5N0UMWUGoqrlsLC4Hs2czeJLIZz2vK6Apw5JTzd4MLncCGFRfftKyhu6LtknF1d6ONbn17Gaz9fS9NmF4cW9RL3CsJmjOcPPc2iUZ77Cwl6BwomH/kF//upKpJatnCuL9XDbw6+wJeWfuF9zdfDrUgHB9q9X/xDzIZjtOfAkWvKSM9OZG10T+qmVSHIc+XyxcUPsqRk6Tlz12hc3R1NYVp7eC39DClXVuKjWNlA+4uFH2HFLZ8H4Ov3zRuQDp0vVw8eh9epcaA1zKNbmli3p52/KI0T+NGPaBMRfr3ES9Sro2k6Ht3HmqobMVO5rG863dd7IuDSFTrCKWwpUYTApSts3fciiVA3ZXFJt0/FTMyjJKfmsuPqyWD7AjCYZCJKnHWtRThVJxkrTdCXJSu1pgYZiWCGQgOe25dqrPeWQvhnb9He5KS1UKXumhWYqVwer9/F6z0/RVUlmqLx4KIvU+GvvCASnb7idszUFk6k4th6HFtvgbxuvnMoRtezR7h61e1DXhhvHz/ErhOHWVg6nSunzBj31fGlwODr5/OFacnsQu5rxF1fSUVTnIquTgq6G3hhVQUHZ3nJTURJFPto/Pq9LFr+eTYcWEc4YWCnSrDVCOHITNKRKXiNSmqLfKfZzY2kyW7rTWDaksp8D1+4OZfntv6WtnAbWDZRr4alKdiq4MjsXAwlja5omJYFQnDXFQu4csq5kffgMbwb3kHY7ECqJhKJq2wDfvMqYtJANEcQGMzcL0hrRSy+4iqmzjkVaF9MDei2liOYnoNUB1yEMu1UVKq8fOJt1IyJ5dS56W2dl6acnQXc+6VQ7P2KkTit28ohafcRT9ooQsFdvOiSc3Z1oY/yO5fQ87v/zRMyw4br81AsSXe6l1eObqZSv37EpiUXEvR67vsoees2keieDRUHEcJGCsnrTS9xdeXCgYLJfgyf6+/l+T6atOzAm4cotJ30zPTw6w8XEgrooGaAk4Gv7uamaXcw03cV4Z4gb0Y6B6Q8ti25fWH5iHroM3H1V++Zy4uv/prX0s+QdEmkqiAs+7RAu7ErRsqwBxYH54KRdOG6otARSoKE0hwXsUicvT95lIqMxkurZpByplFVHQuJQ3VSrM+6qFydMmyKc5w4NY20adIWb+W15g1EXDYRt0pORJJJVNEtLz+ungy2LxD9JLO9vRmrxSJjZXDrnlOa00QCpbwcIQR2NILZ0DCiFd54YrRJ5Fy1EvXnP6ekuYWSVklbeAf/l80k85tJ+2LMLCojZYeHuFtcCIkauguMCEKxULQUQk8ip2/m+XaLLS+/xZ/e9M9U+Ct5+/ghvrn1m9giw0vNDr7CV7hyyozxuBSXHNWFPjRXH9/Z+QMSmTTtMo3jigXo5Uv449d+TEVfN0uPpzm6LJe2AomiwsbEu5QfP8TTm9P0eS1MO4Nb9WLHqvn2C4fwONXTtvlGClA/u7JmwLv1h5u24s9/CqOvmXBQxTADINNYUkcVNmU5VTRFm3AqbtIpSaZnJT98qY/ie0bPDAyfZ8PHcO2ydFaPfrLJoKpAxrSRAiJuG2fGw1ve68EqZH+6mqld2XNNhAZ0tGeiJdrM6z0/JeXrJqFGwAuHEgJFmlSH06ScJn7L4G9WT+G4K29MYn6/FIq93zGc04ZbAJ5Id1J7GXC2XldH8GtfI+c3/4hiS4QE07Z4fud+XJnKEefYhfC1XldH9+9/GXt/A5Q0oWgJBDYZmeI/Nv0zf1T3GZaflEi8H+f64Gs38PsSHqzlaxB1LxDzZ7PLkPWzDLgDfGnJn1Gg9gecPSTTFqoKeV4n+1vCPLrlOGt3tp4TV/94YwN3FO/hjfSTJF0CW1VACqTt4QbnLUMC7XNpYDMWV/d/t98UYe2uVuJpEzMao96Zx6/uuhVjxi7QVXQFcpxBPn/FFwj3BDHsnovC1XDSRcWhY9o2XoeOiB2EvhDVkRQ9ORorDygs//iCy5KrlQk9+gcELdFmHjn0a1ShYkqT+2c8MBCsarNmInQNs7kZOxQm8dhjGPX1EzaW/kn08KYG/umpvTR2xQb+m15Xh+9Tn0LJywOHg0a8pFvbKLDzQSp0xruxpE1PsoeWaPOIx16/r33IMUcdR6QRVbNBtbNV2oqNEBJ0A2cqRbqthYNrfw7ApuatWGovqHEsrYtHD/+KN1o3jTiG9yL6HWtsw4dUJIFpTmRZGR33f5bYV/+Elz+/EIJ+pIAqfxWqUNh14jDSyKM4/WEyXUuw228hncwhbZqYps3xnji/3Nw4cI8HB6imbXO0M5vxcHr6CBQcI2ntJdbVRUFnCk9UQekuJ3lkDYnO5VhGHknDpNRbxrzAjTi6P4ozM514xuBo58j3eqR5NnwMZiYXRemnGEGux8N1ShmOvQtJt82nu+UWMnYxxdVlWLpj4FzjrQEd65lojDRikUZ1JECxQZGotkQKSV+hF03RqFt2C3WLZ7N6TsmYhDzSPZjE5Y9+C8DORAcxI8ZrjkbaCy8PznavvoGli+8iJ2JjqQJbQsq9H7fz8Bnn2LnwdT9mrV5Orm8KqePXIk0XQgqEkMRkmu/u/T5vvvgQ8P6e64NdSQoLg6Sn9RELatmgVwhURSXfW8iXlvzZaW4tmiIwLWjuSWDJrMTkbLna41Qpz/USN97hV7FniLsE8mSgbZsuYi038vyJmQP3c7Dsoy+eHtU57Gy4evD9Kwy4+OKaaaxxx7G7e3izporUjL2gp0GoOFQfd9XezZKSpReVq+GU487C6jw+Pd1N4da3SemSaL6HQFph6ZzLl6snM9sXiMauGC8efYdEJk2pr5TeVA8pKzVodVZCwX33Ef3fH6NVVGDHohOqATxTVtC5aiWxhx+GUIgp0Q40yyB0QiHAXcyf2saO7td5qv43rG9ax18s/crAouFcV4LVgWoUBRQFbAaSmyAk4VxBUbdN3vcfI1m0nPx8B3RKJCYA9fHt/O/u4+R78gYkLe9VDHaskXSDVEhkinEWFZG/cjmv9r5NMlpPqbuMmBEjkokQdOawsHQ623b3kUnmUKIvYE55gDcPdxNOZuiOZJBAPGWScJgDWYB+0kPvJaLEiSYg5nuWmJ1BuA38sRShgIo3aRDtmk5aq8UhNVzaTOZVqdw+ZwHHTzj5bfdubBkb0MSNhJHm2XDizfcL8vuK6IqmsUmT7puN/vJW1PyZ5Hf6afcHsHPz6HX6hhD1eGtAx3omqgPVpEwD46R0BiSWLQmGJNX7da7s9lDz93ec1XneD4ViHwQMz5wNtG4/8jQaXmIkOHznIoqbY5cFZ9dcdwcr//M5Xl4IcbfA0FO0Ky+RYxdQWzRv1N94Ppm76kIf//yZFWx6XqFx0w72L4tm9cIqxJ2C73c9CS9C7eIHhkgfRuOJ9xqGu5LYWg9m4WFsJev+BILZuYv44qLPjVjb5HFqLJ+Wz5Nbm5FS0tqXHJOr+3mitS9BIpaiMbYds2IjQrWQSrYNu7Q9JFrWoGSmoTlPtXKvLfJhW5IDrWGQsHZX64iSlbPh6n5Lvf45oxkZlm9+EZE/E6/3KBHFBFQQErd+qlvkxeTq/vvz440NGIkk27r3EqisxzYh6dRYdchPzZcuX66eDLYvAKe6OkmSQQPTbkUoknBM8pPXThHdXy2+msCzz2L3dCMNY0I1gGf2EC6h+GtfI/TXf015Vyt/9PpPaa6agfZ7V/F456tEjQgAkXSYHSe7lsG5V7qbqVyWBu9lY+ZhokYYebKFLRLq6uPc81wHxT0WoT//c+q+9lc4VBcZGR/4TF88BZzqnDb0N7x39IGDHWu60y2srJtD3dxqXLrCjzc2DMwdiFHqLWN11ZqBwsfie051nvzOC4eIpkwUoSCEja4qWLbEtCW1RVmpyu3XRumJSt6NrGNdi0lbXwhp25D0kWd0c/2bXeREbSrjDkJfmM5/n3Bm2wMrJQMtxw81tVMcdOHUVTKGRcqwR/xdI82z4cSrufp4odEJ0sKhuBBdhZBpQpM2Pa4AHtvgc9dVYhQWj6g/Ha97PBaxVvgruTrvY6yN/QxFAcs0KG/R6aKa/e5CGmZOZcZZ2v29HwrF3u8YLQgt0WcRjj2DpbYAgvV5KjPq8ilpvTScPYTr6upYfvsX2djyv8SFxGGaaGaUawsOUF14+4jHPFe+Pk1//ekbSVaobPrR3/GzWzwnLQGzAfd3u57i+lfhtoU386vNxwekD8OtBt+rfD3YlWRqZQ/dmo++dJq0aSBsLy31SzFnn7KVG/zc93N1MmOhKgq2PJ2rR7Kz+9Gz72Ald2FN34qipJAKA8WQNzhv4XltJppzqB1hdaGP2xeV8+iWpgEXpZHu89lwdXWhj/X7TjUP6zjWDRkD4Q4Tr2xDVdMomiDoyOEPF/zBkATYxeLqwffHr56gvaQB6XWRSgexNYPn5q1g+WXM1ZPB9gWg/8aX+Ctoi60g5dmIz+XkmYbHSYkbKfFX0B1NcdyVx9UPPkj47/8eNJ3od76DNqVqQjIloxV6DH3BLKPgc58j+j8/oCLag9bxFv/Z0040V5yssAZTmjRHmwaOW1vkw7YlxzpjeJzqGQsPsufzgfMWcopfIWqEkEKSZ7r48KttFPdYYNu8kD+Hx96QOMoXQsVb2RS4kNhKnHAmzStN61hUvBgzlfue1AgOdqzxKHO4eebcIcRW4q+gI3w786oEt89ZMCKJrd/XPtA1LmNYaEq2TbMiFB68dQaaq49vbfsmkUwUwzLw6B5cUTcyY6FJA0uPIzIKcw4lKDO9RP7xm/TWzOHLC5TTWo7XFvnwOjVM28bjHL2r2GhkNZR4ffze7D/mvza+iRnLYBhNRBwR7t39WzK5BVzx+U8wY+X8Cb3+Y421H2umXs2mPRkySgdKwqQv90WSrkPohfWokfJz0iG+1wvF3u8YLQiNxYLoifkI3zak5SbuMDjy8eso/pdnLzpnw+lewnU33cunf3qI/01sIupVSDssXom8TtEbNdx5zUdOO+bworuxMs+jLUDcq29g1ZQqnM//kIfEu8RdCraqEPMIfmu+iHgthUfMobwg57SA/r2q6R6epb5r7gIeb3ybjGVjZFKUGLeRNPJO44Sz5eqRePKFR14hFt+GnL4NNAMpxIC93xcLP0L54gfwjNJ8ZnldAev2ZO3wRsvQnh1XZ3+7ZmToONaN2RvCTqWYk9nIPinI1QrJeOCOmjtPK5QdT5yJq2uLfAi9l7bgeqQVJ+lMYQkdp+ZDyNLLmqsng+0LwOAHU3VbuHQdp+rAtFIIRzfd0YKBB6BpX4J9lQupFknKju0j9erGCduWHD6JRnrBlK86KSfp7WVPdRl9Ti/IRPYLJwPucDrMG62bThZ75oIEyckM9RgYer5abi+di8N/HAEsKl5Mfs4R9v7Dv7I+fxZr567BFCpK93zyojpaaR+qCyxnI9U5ZUiRpjHSSDqkn3F76XLMooxGHoPnjlMp4oq8Gg412ZhFI2cmBneNe+DqKQQ9joHjPVP/NK3RVgxpABDNRMkJg6IEURtm4xAGH9m0njKRQ+Qf/4VvnfBitDaMWmB1tiv+syGrK6fMoKN2L79q+DmZoIs3yjV2HVzJX1flMeOOkT3CJwL9Y+3XsQ5/6XztzpUc3l3PkQ3/zIYFGcDGcIKDlkk5yPsIo2XOaot8uM06wva72FoXKVthXWY3kdlzWBCzLipnD84wDua65dfcz/F/f4Xnl7mIeR0k3PCjlidgTx13XjH/tOMNL7obrcnNWFlwva6O67/0LfqeeYhfxJ/FVLPtvaWWwZ6ykfiJZk50LcTtmTrkOTkbOcB7ha/L877MtpaDPL05TdLIQ1MUXLpyGo/Ambl6ODY9+zgvH/4N6ZnJATvBwa4j5YsfGLJoGd4V8mz5+my4ujzczh+/9mO2K/msL57LhqtqSdf2oTpTdKohSrXTPbUnAmfi6utqW1jf0k1B2CLmksSUWhyJZThl0WXN1ZPB9jliOEn0T/SUZvLw4d/Sm85uuy+e1odu13Nt5ZUA/GuHj1TZEtRkgj9OH6T6scdwrVp5UfxbR3rB6IUlBL/2NUJ//ueYmUJAYZCsGgQc7j1KQ28bHoeDuc4HiGcsSnPco25XjXa+pRXTqC5cOPDfG+fl8r27/ozWrkg20EZiIzBDlfz+pu1EP/thNvg66Eq14nNkuwmajtG3ly73LMpIRDe48rs3lub7rxxBUcR5BcDhdGgg0M7KcCTxRDn3vNCKO7abKZkQM+64E899H2V/2ofR2jDm9vJ4rvi37HqGx9t+Rsqd1eMrto7hj9M64wbmjMsZzh5jzZPqQh8FDdvpDHUh8OKUJhYaN19RelnNpUmcO0bj7JEWXE8c6mVvdAN5zkKOdXXz4tRKXm3Ov6icPdqCQK+rY3HNdbwgd2YDXhRsxeQnW9czr6R2IEDplzNsa+hFUwTluZ4xpSRn2rpv7IrxXMcVZJIWdul6hJpCKBKhpBDl+7Dj+7kjeBfVhcvP6pjvNb6u8FdSMauSIrWTbQ29VOV7Buz9RuKRswl+jfp6nln7E35efAg5J5m1qpBZ6YgfJ380N+v8MtrCa6zxni/Sr26ktKWegro8cEcwp25H6mmEouPTfUM6RU40RpsjLdFmdnW9RsaRoa1IoTAs+Yx3Bpk5yy67hdtwTAbb54DRJkB1oY83Wo9k7aMQtMdPsK3rdVRFpSnzNtfmfg5Td1BUEKCzw6J19mKmHN16WqZkolb7oxGAe/UN8P/+H/P/+d959ugy5MytCD098L1QIoVqBulRYrSF99AXrx5o+jHWCvJMhHO0M4bl81EmJdGIjZA2upTct+tZFjVsY9/TLfR9NAdLCOKZBE/v24yGh7uuqsKrnK7vnQiruIuFdXva6Y2n6YtlmF0RHHUhMxah+qImqhRY/cslCQY678yo4MajjVzxpb/O3mugtit20QpD6l9+nB+1/C9xv0AqAqSFpTlxeOro9eTQ2HVx79NY88Soryf+2GPMinXx5myVtM+Bt6iINbVXX7TxTWL8MRZnD0d1oY/7Xav4zs536I73IVWDoNdP3OG8qJw9Fn/W3f073P6v7/LrGxxIPY2iprH8b/PyjnJuWnzboOK+FLk+nb6YgYDzkoT1Y0DHHFjEoWZwV64HkcxamQlJym3zRPgJzG83Eph3L97KMlKGzWdX1pwmUxt8vPcSXw8U5tk2bxzqyi5i8kZexJwp+E2u38CmH/0dj90WRDrI7iSfrFUK6F6+tPwvBqQaF6uQL7l+A9Ef/Qi7q5vyzA7kfDemBggFGxuBflGy2v0YbY5s3fciiUSIslCaqFdlxQGF5V+8Cr1u5C7YlxMmg+1zwJlcDTy6h3A6hCTbHEYRCtFMjGZjM0KfQq8niKb0Ub5/B1akm8SgTMlEr/YHE8CQF8TqG5jV0MDnn9zAQ4EaqDwEtkDRQEqBoscxTQspwtRVGvT2erl9YfkZxzYS4QzOuuiKgun3U2InKUz2ctX2l7ipYQvC4WB/kYm0LGyc2JrJC82PoVgBVEXjr678c6oLhz5Y71UXiAHNf46bvniG9lCKXK/jnMafXL+Bqf/xc4J3eekNClABBLK0mfpcD8eWVpBXV86VJz9/LjKRC4FRX8/BR76HslRFd2vYGmgCpnuW0Oyo4vl321i3p/2iZrVGmydGfT2JX/wSaZhUlc/hC8+30XPfdcy85rPvaSecSZx7YFfhr+T+GQ/wvXf+B6RKd/FuPB1XUP76xeXsUfm6ro47lt3BsXdeYssiBygGqHE29vwM+9UIhj0Hp65iS4nf5cChKUNaj5/N+foxnK8TaZMCfQ55CRc97t9iqHFsBWxFEHMr/Lx0P8rml+i1FxDwOQm6db5+7/wRZXHvNb4ePI9azTiWJc9r/PUvP87LL/4Xr93mI+Xi5A4FSKmgWB4+NvePhmiiLwZfG/X1hP/+77G7e+go83DkCoFvSgOGw8SybWzTS+bESszUqaLQicZIc6Ql2syG5g1E3BDxuCnsNVk655aL3pH7fDEZbJ8DzuRq8OCiL7OjYwcvNj5Pd7Ib0zaJZiLUR/YQmHKY6/J/lzlvCXI3W6gzZmD39gxkSo52xohnDJyaNuBvPBEP1kgviPJVK1n68MMozzXx6MdyQDNwWCpJuQbTGUG430UE9tPDIQKBu07TjZ3PeT+7sobmngRrd7aSCpbz+sr7uCLTTXlvK7MOJ9h4TX5WwwYIJYOVkdgixgtH3jyt4c3FCiDPF6Nlv/rnUyJtUpHrYV6dBY42OhK5VDNjzO8b9fUkHn+C+K9+RUbxkTl4A1p1PWZeF44MZLwGDs2NpcCuE4eHXLOJLgxp7Iqx77dvo/a4cGUyJFIWyaCOUOCweAvdXUS584qLntUaaZ4Y9fX0fflPkdEYbZlO2nIVKl25XL/iE+jDAu3LVWc6idFxPoFdykoRcHrJcTjpTHRy3fQOqtZfGs4eja9ve+0ZDs+0CfmydTQpXbIl/jTIPDJmMYoQpE0Tr0M/7+6Co/F1IjUdj1XAgvztbI1vIaULbE1BKhms6VvQemLEQjOJxgvZUt89qoTucnyWzsTV3dEUXofObQvLaOpJsLQm74xadKO+ntSrG9mROMxPg7sJXeXDVrOFUVIKsBz441egmotxmdNPG9NE8nU/VxcpPpQSFw9/tIBojoOYM0O+o4yueIh86yqsdO0l5+rXdrwwpIHNisMKNV883ervcuXpyWD7HHAmkqjwV1Lhr2Rx8WJ2duzg3Y5D1IeOENQLiRjdtNqvoi7yU/Oqj8JdhwAGMiUuPUBHKI0tU2P6G18oRsz0zMl2Klv0539Oyf/20FbppSKq4bhLZdO8OnZH6wk68miLdjGnMDMu500ZNoUBF4oqsv8O6P3Lf2BGw3aK1v4Cd8Ii7lORUs02GnF3I6XCob7XaImerh2b6ADyfHEmnfBnV9awraGXQCDC2paHkcLire7nuLPvFm6svXqIC4tmZPjL4hjl6RDR734Xu6OTFm8B66ZdRTqdT+GxDO25MRRPGhSBKW0UqbOw9HQCn8jf+7WHN5NqyaCV38VV7z7ChpsdoAikAEtaCL2R7ui0S5LVGj5P0q9uxOrqpmt2GQ8vdSCDfvT8Qr5c7KRi2O+6nHWmkxgZ5xrYNXbFONHpI2UY9KRbANhT1MWyykvD2aPx9ex/+Da/98Yj/CD1BgmnQLMltmKywrODuiVfwqUrNPckxu28p/F1NI950/6AZc3lfL/rSWLCRqoKUs/gLn4HmXeYWNP1dO4Frqo+7fiXI1+fiasH19j8ZmsziirY0xQaKDwd/v2/WhzA2PgI9TtfIW6nWXtLPjGvOtCFEgnCcqF13YxDnXPR+XAIV8+9i2X2o0SDOjm5ZUTpI25EEZaHTKQK5yXm6pZoMx37d2BJm1TQQyA9clb7cubpyWD7HHE2JFHhr+T4CSfvvANWQT2RRBOKM0J74gSKUCi+L5/fiycoF7kDmZLU1beflb/xhWK0TE+/fpu//mtKdnYDoPz0+6yp+3PqnU56Uh2EUwl2dkY5dGTvOU/iUYt+Bv276fPq8K9eQGRRkOCRRzEzCTK6hYVAnpQjx2WEx579T74YuB5t1sxx20KaqNXwWNvYg3WAMXUfVtDEpbhJihbWtzzPvvDbXBn4FIZtk5+O0dHYyt71m/Ht3gCWTYu/iO9e+2mSupu+AgVZrCB0gcfnJSCCzPRdx7WVV562EzBRMOrr2fvbt0m1ZMiL9tBToPLmMj+2nhUk2rYNUqBmqrl1ftmIDRguJvp12nZ3N42hFJZaTGHxVEJKisZI45AF3XtRZzqJLM42sHvzcCffeeEQqiIQOTPwFiTJd+cQyUQGmtyo+fkXlbPHKpa8tu5vUV58iIfanyTqEcTdgrfiO5jb/Bzlix8Y4JbzkWudDV/XFvmonvN51F1F/Hf9T4jamWwgKWzQE3invMb69gacv3yD1f5pTJl91bjw9aXg6n5ka2wy9MXTzCoPkhhUYzP4+51tXaz93/9iz4IO5PVuQjlBbHGq3buUCsLyEIjfzhdvvHlEbftEYjhXd1Wk2FznI+OFqAhhpn0oiUW401O5/Yp5l5SrW6LNfHvzN0gnj4FpsmxbL/PiudR84/Ss9uXM05PB9jngbB/yxq4Y337hEN0RL47UTfgL9+FwHUGKbFY45dFoq/JS9MqpTMmURVeflb/xhWKsTI979Q1YJ/237WgUu6sb719+g3u+8UV+YG4GqWIFN5PuzT3nSTzaefszu4O342qnL8cXewsR6qYn1kdCcYLDQCgmKBab2M/cR7ZxxZEUnrvvxnPfRy+IxAd3DbNsyYO3zmDF9KLzPl7/MQfrHUfaxu4nhmAgSiIdw8QmJUMgBDnOIOF0iEh4K0p7AR29IVTToLLpIC2+IpryKzle6CRV0kHQtDCnnUBzZ7CVGGW+GSTNBMunTuXK8osXaPd9+U8pSUi0GbfRXaBilTbgwEZTXVjSQNoahcZNmMY0CgOuS06C6Vc3YkdjdC+bTiQvBrk5hJQUqqKdtLs8hfeiznQS587ZXZEUuqaQr01FyT9A08leA5sKVKYPy25fDM4+U2Z+xS2fp/XnR1mb3EXSIYh4Fb7f9STXvAqGPee8g47Rztuf3R2M5QvvQist43tv/xs9RhSpAFJB1RLIikO8YNu8EdrKVf/zY1aVXEvd3b9z3nw9OHNp25LbF5aPSyDY2BWjK5LCHkOL3c/XpTku+mJpOkJJcr3Ogc9NSfWi9HTT1teD4drNW1f3YDg0hBRYQsk66koFxXagxK5gcfEqPrFq8UXnweFc3VmRIjNrJ4pqo6lOpO1CjS2i0nEd3cnUJefqrfteJBQ6QW5akvK4ycOk9qb7RpxDlzNPTwbbZ4lz2Z442hlDU8ka2ydyENEFBEs66El3AODxBAgsn8GuZIpKw0/xsV6Kd27mq/fcf1G0RmNlegbauff2gmlih8L0PfYrvB+ZRsL2YBJFUTvpiqTO2U1i+HkHZ3YHb8f169+3tRyk/nAXb0RfxrLCWXskQwXF4LU6jfDxUqoeeZrKxx/He++95x10H+2MEU+bdMfSGKbNt184NGY3tP7vjHafBmfIvE5toCrfpSsc7YwNXIt+g/4W7RnQbQp9Lqa4l3I8to32aCNIyfaep1izN0F7IJdZRzuRJnz3mk9j5GRIzdyG1I7Ro1uARkWghOb4UbqSnQSdOacFjBOJfjmGXpPHUvsxtk/zoSkWkRwdM+MC3CRariehzcLjvPQk2J/VbhNhHr7She12I3w+VlbeMNDBczAuZ53pJEbG+XK2YdrYmTyuLbuBNztfIugIjJjdvlicfabM/NJFd/Dy2+8QUwWWKkg4GdBvd0dLsWw5Lnzdj3V72k/LmC8pWcrvL/gaT+76DQdTu7CFROgpsMFWJWGfwkvLPWyObuVTX1nH8kV3nRdf9we8PqfG/pYwj245PmLm/nz5WlMFt84vozLfM4Sr4VQgF0+bVOR7BgL98nA7B372M+p3vsIyp4PXr/dieiQZVTlZ/ShAKEjDi5Aq7thNeMwZfGLppZE49HN1VX4+9x/5Nb9aFsDUbGxNkLZMhKUQ6yqnzZ2Y0MTf2eDYvjd5Zd/ThAOScJGgMGxSaQZwrVo54ucvZ56eDLbPEueyPVFb5MPr0MEPpgVfvnE+U0qzOm4JlPvK+bXxE9IrPCjJBJ8+FqbisccoX7WS6jmXtrJWr6sb8N+2Q2GEy0V5l4UrFKIwB1K4SPUWDnGTgLHJbDSMdU3NVC5rN/kxbC8e5R4KxU6OK9uRmoWNYO+0XOoTy3FE3fzx6z+h4qGHSL74Aq5bbkUrLMC5aiWtwZKzGldtkQ/Llhimja4paCojdkOLWh2klXZ0qxiPUoRtSW5fNDSzMjxDJmBgi/CfntpLSnQiHN38ycoVXDllBisXx1nfkqFQCZBKRshpj5O7u4udc9Lk9Zn0BZy8cFsAbyJJ0zwXNfuLycxK43EnSDo1Ao48pBbCoYMUafKdxZQoS/Gk6nhjr8XyuonfRkuu38CBXz/Nu6WlbL86RtrnJBGAab46bDNOLFZJqbKcLt1zVs4IFwPmgYOgqHRcNQPbESc/WEbE5SbfnT+qA8nlqDOdxOi4EM5+8NYZTCmtZlfvpjGz25cDZ0+ds4LPNH+E73c9ScLJEP12cPoXWLuzdVz4uv97I13Txq4YP3ypD8O+Hq8ym3L3QVpSb5H2GlgACKQCkYDKT+8I0vfiY/iOvkzNrGuoCladNV/3B7ztoRQIKMlxD5FyQJaD//bxd4mnLXRV4FAVFFWcFV8X+pwAI/poDw7k9K4OIlvfpGHTMZ7v28jbdQK5yk8kqIGQ2ew+IBBI200gfg2xjJurq2exeM70gd/45uFO1u/roMDn4EMLzuzydaHo5+pGVzlVJ9rpu9aB7nfg0CQZaWFLJ6XmbYQ8pZcFV++of42UJimP6kSVDCszU5n9D3825iLtcuXpyWD7LHEu2xOjra76X+JvtG7CcmjkB8vosVroWDwV5ViIPW/+kpnFl95urF+/Hf77vwcpKT7Ywa3PKxys7sUx/2NsloUDZLulvnsg03GuBQljXdN+Uvc6NTpCOVx9xWdYYAXZ0P0masZFSDVwBo5jxOfQlFdBRXsYq6mZ+EMPgRC0/uwJvrf681geH4bWw4I6g1Xzl4+oX64u9PHgrTMGuq15HTq1RacaRHRFUkStDuLBZ5FYGEg0cyGd7aX8+t3DPNXQzO8sWcltM647LUNm2pLaoqyeLyU6yeT9FtM2+d/9u5C9a9hR/zQpEaXJ7sZKB+g9oKGqKwkk1hH1Oun1BbBthaSjiBxnB29/yCRpbSRpO7BMF5FMCNVQeWD6J8nYaR7blGB/hxvDSqIrh1m7q3VE+63xQH+V/cFfPcV/zrqDVGkHZuAQVU4HMT1CN1H8Dj8yvZiI4cfrUE4j70tROW7U12O2t4NtUdaWRJupEQpq6CPIRybx3sV4cPbqqjU81/DsqNntiewqeS5Yccvn4UVO028vb16Hos4ZF76G0a/pEGu8vjwqqu7inpwrOdj+CuuMgySUZNZPWkDCo/LYh4vI6TOxtbdYsuMlatY+wWMLs3xt2zYfmlPIiuUzR3Uy2VLfnXVGGdSmvJ9LDrWFaelJoKqCjGmT43FQke/hQGuYR7c0DcmEj8TXwOkdl8PtpF7dSAHQqJl8r6UDQ01jVh9CTHVgq4CtZDvCSRWwURH49SDpvptoaS8DCbstlfsWnQq0//rRd8mYWa3/xgOdfOuBhReFqzP+JDK/HV91I3GHgZSSgJ6D1bGGZHrKZcHVLdFmNopDRNySCAZFUYVlqz55WTxv54PJYPssca7bE2OtrqoD1WhK9gWv9imox1r4yU152OktODd38OWr/+qcAu6JeAjcq29Am1JF4he/pGH7en57pYopbOzu34Dhp5sqNCW7fD/fgoSxrmltkQ/bkhxoDYOEtbta+ZPbbuOdTANt0VakZROu7cUbi1MV6wQrmz9BVWkPSl6f5iAZb8QVyRBZdJjN0RRvbfkt09+axZ1KHcsXXTXgldt//v/38YVDth4HawPTajsSCxCorh5i1lu4q3SkI0oS+PHBdygOuqktmjUkQ/apGwK0ZHYRtwMkzVbMTAzVVrFC7Wx987+QxTbVSYu2Qh+ZzioKui16PTksecVDqFgQqlqIrDmE4bWIebykiGe9tNUMqtTwmjNI9s4i2ltFYcBFKn4YQRqQCCFIpK0JKRLp1/01JSRPT60jVtaFN2mSRifk1Cj1lrG6ag2Lixdjzs8d8R5fisrxAau/TNZWsm71R/g/V8+iNcemOlA98NxdrvZRkzh7jAdnLy5ezPqmV8bMbp9rV8mJmlvD9dtRj8IbyacxZQftoZm49Arg/PkaRr+m/UF4a1+cjlCaLUe62eN08dV7vsLcRCv/tvERUu53QcmgyezuZDioYegK61fm8kZcxWjdjsPM0OXN5dGtBTz3diO35pmsuH4edYtnD7l2y+sKWF5XMCJfRxIGNhIVgRACVRF0hJIgoTTHNaRx2Eg7GuW5Hp7b0sDRzl48iqR0y3G6f/gftIkIWxYH2LQ0n0SNB1xJQCLFSXcRIQEFTC8+t8rNdTeyumo1b+y1eDTadFLrneHpHS3cvbiCbQ29WFKiKGBLiCbH7sx8vhjM1S/lzyEezMD0bZguE8ORocZfTSQT4Y6aO5m3dM1lwdUt0Waef+cRjJ5uqmOSHp/khtLVTJ2zYsjn3ks8PRlsnwPGa3uiX5PcGGmksG07WyrWEwk6KQhniPd28OO3foTHU3tWThIT+RDodXV4PvkJWps2YgpJTsgglAOrd/+Uohv/nFmrs+151+1pP++ChNGuaXWhj9sXlfPolqYBgozFgqyuWsNT9b/BIVxkXDa3317K7LrPYHV1k3rxBVrTnTx8fzEpR4qMdyfJUClCj4GaxFYlh+yd/FviCL//F49QVreM7wQXYupOVCPNX+T2ct1N16AXlpzWJndF9SzeCG8CLQzCRtMNLMUEbIR0I0nz/LHf8tm5JXx2XopNxzbjdGd4+eAhDMOmU7ohWg2FUZAmYcum6GgP9QW5JF0KgahBpKuAXncQXVWYHzVxLVvN/uBCMom5OB3dBL27aI43nLpIWoiIupWEUcDana188cZpeJ0qPbFsdkZKicepTojmLv3qRnY4bX60aiHpogZsESItFdKdV+E2Nf5w4bWn5q6fEe/xpagc79crahUV2LEo7cVO2kcItC9X+6hJnBsulLMr/JUD2e0idxHhdJi37p5FtXSQCsymqr0B1y9+Sdcd93LclXdWhZgTObf69dtxRaBKSdJt4xKbga3cEbyDBXVzL4ivYeRr2h+EP72jhS1Huod0V1w9Zwbf+tCf8cqxzWzu/CVKKkGfksSybQRgKYKUz8aeuQdDClxCQJFKT+9snuwN8sKLh/nCeoXCjJd/F7Vn5GvDsMnzOFEU8Dg0vnjjtKxH+K5W4oMy4f3j/qvFAQ6+sYsp0U6mvnaIJsWL1ZTG9iRIBZpZ//ZbFE5N8eKNZYQCOrYqwU6RtchSQNgoUiAtD87IVTj0IH9y1YoB/lteF2PtrlZaehOEEwZb6rvY0xTitoVlqEKQsbJ87XdPjD46/epGjick/7boY0SkRrrkKC63jbS8YKfpSYYp8OSyqHgxFf6R5+/F5OqWaDPf2flt4l2t9HpsQCWQkSwwhzaze6/x9CUNtoUQ9wL/AMwClkkpt4/yuVuA/yCb0/uRlPKbF22QE4R+T+76+fm83KARV7bSl6ehaDFaIzsh9g5vtr3KV/jKmAH3RDdW0OvqmHn/H7Lu8A8J5YBqSubuPU7Z3r/FH/0czlUrJ6wgYXldAev2tA8hyG6rnIQRJyajKELBVxHk3ZoKXOp84jfX0r7tNVKiATWu4neGSOVFSOnyZNYBEDa2lmZfjkZs8y5S80vJS0bodQd4/c2tvPXWBqybq4nKGBmZx4muWhxxL0siu9lbkyZ88jiKncaDi4RQgASWLWlo3cPft/0Z8XSEtK4iTVCkTV63gh1U8SoniKfcBGNxnDKDJ2Hz6V+10VqsUd5pYns20nnfp6nL91DzJ99Br6vj7wat3A/GSvj+u99D9rdlt3UQNrq/GTM1i5Rh8/V75w94web5nBNi2ZRcv4Ejv/kxv767iFTwMIqexE4Uo2kGlUVOZGwGsVjwjMe52JXjg63+Mt3ddC2s5ufOt7AOb0NTNB5c9GUq/JXZ6xdPj6gH/aDjg8jZi4sXs6n1dcLpMF3JTnYEA7x8Zy7OQxXorho+9u42Hotug8oqdI/7jIWYp+RxyRGbvlwI+vXbP2l7kowqibsFGd3GVgzWdj/O3F05fPWeWyeEr6sLfdy9uII9TaHTnunqQh+fK7yJW6KzaIw0EstEeWzfr+jL9GEJwBKgSBQps4XwTgtnyW4ohkTaxUNmgtJjgojrBMFehajbyfObjlP94uvMvutGStJplE4/Hd06LpeL33N0kAjHqct3MbU5zbyGBub0RmnyF1FXU0L+048Q6sq6qoRe30q7R6Ehr5PX2lL06mUYRbNQqw9hOg3W13izCRUBUs22fFSwQUKO5UTxu7i+eg0zfVcRiwVHvq4SMqZEIsn1OkmkTYIeB//ysfkTqtnub8O+I38ubXoAR85xXCW7UbQkiiMFVoC5/lXcP3/VmLvpF5Ord3TsIBTrIqc9gq0azDqcYGWLjynfuGrI595rPH2pM9t7gQ8DPxjtA0IIFfhv4EagBdgmhHhWSrn/4gxxYnHclYdaMJfSFged/gNQcBxLtxG2QCqZ07r/DYdLVya8sULdTffyJ8DBh79NaX0fQtfZVpii8vEfUfrwwxR/7Wswb9lp1dsXipG2LFtaUxS4C3GqTuJGnKfqn0IVKt3JLgrchdg1gq5QEdIvQc0QVARKLE7CbwLZwnBbaBS1J6nq60azLXrdAWxFZf3c2WTmbkO6d4KwUZ0Sf+gt7n0uTMwTwuUvJh3UMTSBO2HyqUeb6MvReer2QjK6ICbjZHQFXGpWn2iDraok/BJFCoxIOUpBDIeZwWnaVJLL1LtvoRYGijqHb0cPziJVF34IgHXHX+ZoqAFbkQipYEYrMRUGrtF4Xf/GrtiAzVd/1X3q1Y3EHnqI5vIMtiqRGT/oKVRHDEV6MZP5Z90AYSIrx4dvLw5uye5YsACrtYXu21dgOXrId+XTm+qhMdKYLczd1UpfLENfPENFrueSO6dcZvjAcXb/TuSLjS9mi9wtD7b7BK6SHjLJqewpm4Vp2RQlw/S5nGcsxBwujxvvBfGKWz5P2b7ZbNv5HM/HdxH1KKi2JKNItjz5H3xEzad69Q00dsVYv699XJ+9Mz3T/UkmgLkFV/Cbgy+wvnEDtg2oCVBs6E8mALYA4UoTF1A/zwa5n24pIO3i9emSzSfKcTQe4urOjcxwgUEONa29tHkTRDyC0BGb5ucMOoocRDyCQNxGe9Hg7SIHrTk+Qo4Sjlw3C7P6EDgCoPhQzDS2uic7DgHCtJEKqBIMIVAVhVw8fLjsQ+SU1wzZFRsJRztjKKqgpsjL/pbwEMvA6kLfBdvMwthcbff0Ep9m4yzejbNkD2hJBCrSduJNLeGjMz5Mhf/MEquLwdWaq49XjvyWUKqPUJGgKObi+sMpau8eavXX2BV7z/H0JQ22pZQHAES/5mlkLAPqpZQNJz/7CHAX8J4k7uGoLfKhe9zExXRc7Sl05xF681SkkCjWmbv/pQz7ojTDqbvpXsrVfA7+x9f46U0OTGmh2oJPP3KCln/9T753x4Mk0MbNp7ofw4PH6kA1Ht2DZZtZPZ5QcaoObGnjVJ30ptKY4Tk4lRxMUyWU8xa4BRBC2AAKjqaZuBP7qAi388ebf8austk05lZwcEEGnAlQJCCwVEDLYPmilLemcaVtRMjA1AT3PdnG3EMpdszz4Y2DGVAxdLJBtjz5ulBA2IIphwTXbG8iFfSR65uF6S5hSqCCmn+745yLPW6Z+iFumfohfnvodX62fSN2fAoupYYHb50x4AowHoTYX9Hf0pMAAc++fog/Xf99VNppLk/jNAW+VIqoM4k0cvAkF/CpJTfgVYrP6dwTUTk+Uie3yDe+SSNeKqIGem4PJ5bkkzdvAVrkNXpTPQPe2oeaYiiKYHZFkPZQitsXTbxDwHsJH1TOrvBXckv1Lezuepe2+DGkKgkVH8fbnsec7W+wf+4tdHWHcfpyzliIOVweNxEZualzVjB1zgrKX3yIh048TtSrEPeqrFvmpuin/0hNTgn/8HYf8bSF16mOaxH12T7TFf5KisybsNvycPr6ME0VnK3g3QNKCgWyDXI49U5TbAtbURCOJFKVmFOOYlbBBulFqhLVTPMOHiRebE2gmtmGWhIx8LcEbKFk6xhlDMm7CCGzDn1SIEQ2wy4kWBrg0FAR5Om52JrguoqVrK5afdZ1VaNZBgLjstgZjavLe1qx+/rYO8fP7lVtuL0R0DMgFTQNfKqbP1p6y2XD1ULv5Yope4m3t5ObdpB2JLh6t0G5knea1d/RzvceT1/qzPbZoBxoHvR3C3DlSB8UQnwB+AJAVVXVxI/sPDE8IOpfMZa+dpz002E2Lyyl11aZXTcdQ+tke3uElJVCN4tO26aqLfJdlGY4kC2ajOT0IBueIqexi5DLoq3cQzqVQywUo1dzj+pTPV4YrHd3qS4eOfRrIqkYUgpCyQShOPR1VWCl89BUQYHxIfxF+wkZ+0E6EUoavQQKPn4d3u4l+HNKeDtRRjTTRqZ8PZpunjzTyayGhPL2DCXtaT796xO0lrooP5GmpDUOuoYaD9DnKMAyTMAELZ3dBkVipr0gHQRLa7n+Y5UjZq7PF7fNuI45eYuGzKPx1LBlvcctVCHBtIiF+njHp7Hnei+m4kETKh9+O03o3msQlctZWjHtsiG74dKqN1/bzfry67GcLpg+g5zZW9AKguiR17h/xgOkrNRAdsosig28GHO9joGX4iTOCWfN2fDe4O0sZ+sszLuWhPkSLuEjlA5z3fQOlq7vpKLjTY5ZTmbWSqoLVw773tDF70jyuInCils+z4nnQzzb9QpJhyDm0/jVGpXyt35KW3wRwiqgLybHXc4yFgY3/PrNtma6e/3Q60dTBYX+OiodyziR3o8lJQ5FJ+3djFCj2Sy3qgACqdpIBEKe7Fh5ssWwFCCFGFANDv/bFmArCqAgsbPWfOJkR0dhZZMl+unB9Zz8OUN44lwwUlZ4orn6mOGgLBajvcjB43cXEQsInLqFiYLf4cetu/j8FV9gScnFaXo25tgzBpozRMz3LLt6YkT9AuFwolge/v/2/ju8jvO888Y/z5TTD3pvBEGQFEWKFEVSVDclSlaxLEu25TjFji2XbBJvLGez/iXr7DrtSnn398aKnXjXji3HcYks2ZHVGyVRokRRYifFTpAg0TtObzPzvH+gCABRSZRD8vlcl8QD4ODMPYOZ79xzP3epKFlC/lc+c859c+QDzMWi03PubAshtgBl4/zoG1LKp2ZzW1LK7wPfB1i/fr2c4u0LwkQXWW1xgIz7Jnqf/Dn3/2I/7cUm/17dT/qd/XSbafI8RfSEBN7QvXhkyfCglCUl89vEfcmy63BF3yHqdmM0tVDRHMdKN5AJh0n5dHRdRzpyTvOnRi5F2qkcvrP1bUxbJ2SncRL5mDIP3ZD43Qa6XUSqZxWioJEcvyRuJ8jNaeU5T4Slv/k12s6aJN59CS24E4P4wPKasBFSkCvdfLnyAZZ9UWB3dbO8uIgr6+qwTp0aKLIrLkIL1uI524Lf1UEoXYbliZMKnMDxtKMJFzga9tLbCNzzoVk/DmMjDeMVsQx9fzgNJ9I03O99vOEtQywpCeDDpjeZBinxphIYvl4sDfKSOpHaEtwP38+n1j046/t1oYxMrRJIOhuPk/FWUNDTRld9kv6AgU+zEKkQSTvJTZU3D//uXC6XXizMp2ZD9uv26OibH2+1m45kMwAHS7q4tjpA6d53KXUctNaDJJbX4B1M05ho2uF8nmPX3fxpXn5tH7F0L7oDEa/ghHEMb2EzqbZbsKN19EZTc2rDECOPSSJlk7QsPC4dxxnQa00TdPf4Ec56PnPDInJ9LgKBD9OROUJ/qp/OPo33ToawgjuwRAShga7pIBxsIRG6hqZpSMeBcb5GH3C0h4IpUgJSw8n40TQHkVjMjUtWsKl+xXk71+NxPlo9XcbT6ppwO20Fgrc3lUFuDi6XJINNgTuf+5Z8bFLtn0+GtFrPP4ybKFpYIrxe/B05OH2rsG69edwA1cWo03PubEspb7/Aj2gBRp4VVYPfuyiZrKrXrK/H/6lPEfnho3SsK8ByEuhd/ThFBo4AKWzcOWcJRzr4x1fa8eslww775pXj3RsvnPEiMzdX3oKohOXdp8nhCfTyPDY1Pc/TN6wACX2JOjzmFef9+TMhGs1FS1xBZdBDa28c27KRMo0ACgIuPr6hmp9vB3ffR0hbB8jJB59WTDwdpjHcSNKQxPP+E8QHOd1u3U3ADPBA/ce5sf7+cze6+bbhlyu6oviefJ+Ms5Qcn8ZDm+rYf6aPJ/buQ3N3Q6qYTRtWzHi/zoexRSweUxv1YPflO/P5WcN3aIk2I5G8cPo5/vy6/zVhu7tvuM/w1vF9CL+f0oZDdFVXkPL00VGTgy+Yx5Jl183Lfs2UodQql5Mh2dtPbiKCXpmiy52AgjRR+onEJQJBNB055/fnYrn0YkJp9mhGa3YB9b7rsdg6qjvJdaEwJY39OD29hL75TYxFNTSkApNOO5yLc2w8Pa0KVvPljQ/z/T3/TDIaIiZS2HoG3YzgrnoVuwm2H/dPq0DvQvV65LFszcTRhIaU1hi9PoOhw3N7W3loUx3RaC6rS24fjggfOfw+qd5F2J7TfPiqMq4qq6M12kJ/qp9cdx6VgcoJv7YzXl7dmyajdWNpMZYUlNDQ4iKUiOGkiqjwV/HJ5XMzl2AkU2n1VJHuqbT6nQ2V7NsYxMjPJaynyHPnI4QYjGZvmNN9mwnJjENxYYx0wREcI0Ykz0GkcnB6rsTjX8Sy1Rff8JqJuBjSSHYCS4UQixkQ7E8Dv7WwJp0/U1X1um/dxPGX3qQ9omHThnQbaI4DyQgIL71iFzKoIYI6Puc2Qsk4O5vd1BavnXVbx0bhv3xnPk80fo94Jk4snWBx6ZVccW0NltPOe2sd/LnvDvxi4hBn9uosKr+ePR276YmmCMhl1BT4yBidw9GCmSylTSTyI4+nz23wlTuX0dQTBxjuw+pz6xQHa2iKQK/RRL/WgZA6vb057O55HU2TyMFlRQ2NgBmk0FvINaXrpjxG4z1h37ishDWL8tl5qpcNdQWzlr8+U1vGPtjtbTtOOBXGdmwkkq5EF7s7dp/ztzAyaf6b3kjhYz/iI61tNOeU8i+3fJ5MhU4y93VyXTCw3pqdDER6LFJNzXjsDFXd7xH80BESLheZQhcZR8dtuMjYGZqjF60PmM1c0pp9c/VG2hv3DXcnOZCfy4GPF7Hu5SpWN/dQIzPEf/ozFn30wSmnHc4mk+lpkb6CO8ofJhx6j22NTxL2MVAEriXJrXiFVF837+6NU/vhO4Y/a6zezq9ee2jpi/HIC8fwunVMTRtezR34t5YlJbeN+OyxDuTEX99aOdq2scWF8+HATaXVk50jk2n1vsXl/PijN5Bc1ACGgVfPkOfO59ryjdxVe1dWRLNHEgiEwL8HaaXQ4/kEZQfXHolR0d7I6ofvuKic6alY6NZ/DwDfAYqB54QQ+6SUdwohKhhoF3WPlNISQnwFeImBNlKPSikPLaDZF8RUyx8tuWX884ceIt0fRrae4o4zT1He34dV7dD+6U1sj+8nx5VPY18L7dpziICbN3sOcH2kaNYvpPGctXgmTle8i5SdpE++xZ5NGjlOIXGSg1WBAqGl6d3xY/5K/JouVwzbEQg7iCYNyvN9+FxuHr7ma+xs7iakHcQjyogn8ycUmMlEfjrLSUPi7qQKcffeS15+iFBfLv/+WhgjmI+TJ0AbyN8r8hXx0bqpl9nG3kzGbvfGZSXz5mRPZEtLX5xEyqY1E8fnNlhbvoydIX2wXEggpeR06BTNkSYaOk0yjkNhKkpHYwtHTrzB9a1tmMuX02yWkqnQMWubSQhJrlGJJqI0hhuzTrxh4Jz4E72RwyfeIlhmcWyjG5njZnHJElqcXpKJJJZjoWs6VxdfvdDmXlQozR64vioLPuhO4tGCNBQk6Lp+MW82L+Erb/0bNVvfIGf3bv7sL/6eXWnfOdMO54LJRql/oJ9ruL9U45fhXxHDwRY6jpkmnb+XF1rfwf1UI8mSO3h2TwuaLkbp7dDnB9wG7f3JCfO8Z0uvLRsMTQxEwXvjfOuFY/gGHe+Z5DiPp4+jiu7nOUI60p6hFemxWj3ZOTL0dxir1Uc2L+XnN+gkvScRZhopBWk7gxAiKx3t5kgTjx/9J4JmJ5aRJN82CMRgc8EK6n/vixftpMiJWOhuJE8CT47z/VbgnhFfPw88P4+mzSmTXdwNnVEs00VpXRUdpyEQXcJaOnD29xC6NsGRJV5sJ0pB0MCyTSoC5SSd0Jw4PmMjOmvLl7H3+NNknAzDs3dxMHwFaOkOZMZCSEFBJIWMp+iwvEhN4CDQtSS2Y+JkSrCNBHs6drOl41XivihxqZHquxOPOX7nlame+ic7niPF3WNqPLr1FKn+Ypy0jaFDpfsqWvuhZlEzK8squW2KKvOhKMh4N6OpmItpVxPd2Bq7ojy69RS6Dhlb8tCmOjYuKkF3/wH/Z/+/kLEzxK04x/uO88ieb/GA+z60njAdXd3o6TQ17afBcbB7ewisyCG1aBsJkcbRw8QdN7laIGtHm2dOnqTwyZ+zONrCj28rJRVw0+tz0GWYHFcOt5R+hAPtpyh1LadIH53iczFNJFsIlGYPMLI7SWPkJNKQyEWtZDJLaFq8isX0YLc0U7pnO5/+0hdHTTucq/NqqlHqQ729kyV38Ptu+FHrr0gYFjGvQBcJQn7JjxIvIHek6Q8vpaLQR0Y6o6YtOo7kcHMIBDy7Z/y2hbOt192RJJYjMXRmNFQl27R66HPH6jVwjlZPts1FyV60nu5hrfZlGnn1xhxeu94m4QN0CyklmuOlwOfnS1d9OescbYD3Dr1IX8cZCkI2hmGxslXjQ6fd1P/FB47228c7J1whvti0+mJII7msGCmYrtwcFssomWMDo4Hz/uMF/vCRb9KS5wx34kg6IWzp0JPooTnSNKsX1XhRCN39ZR7Z9R1CqX4GGuRpCKAyp4Y1iSLcL73JymNxdvsqwTaBFAiNTNoF0qA92k21K4AELMfCJYIIM4avMDRh28ILbag/Utwr833nCLlPW87vr/4EAMfORrFKJo+w98bS9MVSrKjMnfay8FxNuxqVA9kbHx4FPFChbuE2DYT8oCVkmb+Mjy25n4bQKU70HadU5NDT2ULDtu9wQ3sNYb0PV14TR1fGMTtLWPrxh4hdJcnpexuvVoSNh2srNmRlpAQY1U/76G1LieYkKfaXYPh9rC29hqtybuE7z3XT3BMAAXsP7edvPrVm1jsEKC59hqZLPnni14QjJpYWxyzvozbdR/rwPuCDce619fVzfi5NFDUer7f33zz4m3yjerAXd3QvYb+Go2tIkUaUvY6uh2kN16I7xcOzG2qLA9y7tpJf7DgzaUrMXOv1UI7zZG3zslGrgXFXB4pzPONq9XgkXn2N/n/4NtcHq5GJBIFAA7/6hEHGXUgsaGLqJgKJR8/l9qp7uWPJDVmp082RJl5reo2wxyHs1Snugzt8V5/jaP/54wdwpOSpXc38zadWDzvcF6NWK2c7yxgrmEWe24l0nh0YL93TTcETW6j6nd/GrK+nzF82ECE++wqvN73GtpY3h6fgzaY9I0/i9WUb+Fjl13hs31YMTeCk8tm4uoB7V15NVbCazPKTJF/fivXzJ3lt/3Wki3tI6iaEqyhOhUnVerll6Y2sKy1iS+Pr9BpRkBp+yicU5dmsPB5PyIe2O9XFOySU5Xke+qKpUcMJpmKuxt0O3dhae+O0h5KjRgF3hJI4Ug4POxoag2s5Fo500GJJutpOYzs6L7puxVnuI7l0G5rHjUYR77lL+dzGNWw9/GNiVpgYYcr95QvuaE8U0cicPEnf1/4YGYnSmu7krUVuwgGdiCtMuRbgrtq7OHbWJJbqQNcHcs7j6Q9uwAsxPl5xcbOudB2vnt1CND2Q+59X2UDg/o1oIzQ7/tOf4RvU7LlmvKhxbfH4vb03j+jF/X+6fkVMSGx0pJnCV7oHvWgfZsfNxJqKYNDJGWpbOFlKzFzr9ZDjfbFpNTDu6sDHr60+R6vHkjk5cF89+vMn+faKj5IOJpB5rbgqvCR8Et30gCbxuYK4dFfWFEKOp9XNkSae3/cYmXA/tX1JevIMbjymUf/7o1NHdp7qxZESn9sgnrLYeap32Nm+GLVaOdtZyEiBydy6ifjTT+P0dGM3t5DY+gap3bvJ/9Y/UlVfz56O3cQzCUr8JSQy8XnJo91QtZQXd6awHAdD07hryarhCVRmfT1mfT2r6ur443/4No2uPFz9vTyxpoq0yMN1RHBFz1bySoP88Q2fYl9lnJ6IpDAoMDx9wMQO90wvpqmWmUZ+5quH2qe8eCcaTjAdu84n2jNRkdLY/MP/+cAqfr27mR0nu6jM99MdSXK2J05pnhu3YZCyLJIZZ2BComOR73jo6W3huq3N5LSG6dLr2VKWhy94moTpIHQXuqmT8mjs69qHJjSW5i+jK97J7TV3LLijPdFDUer1rQMtGauqaMvXMAMBluZV0C0jw3ZbJVH8bp2+6EDrL5/rg/zI+R4fr7j4GYpuP3Pq6eHuJG8stdhYX0hZy7mavVB5qJP19r7xri+h7y3h0YafEYvHiHkBLQ26g1W2leMvvMSi9rupyamhcsUV03Kk51Kvs1Grx7N/vP0Zb3VgPK0eYsjJjj/+ODISZX95OYlFjcjSBiw3ZNw6Lt3EFpK8LGvrN55WG54+vrX974j1dtAbFKD5yIlbbFh51znXxoa6Ap7a1Uw8ZaEJwYa6guGfXYxarZztLMesryf/W/9I/Kc/I7H1DfSiIuyWZpKvb6Wj1M2Ws68QSvcTSvdT7q+Y1TzaicRvOpEL7+bbWLOohuWvD4yMLd3+E5oKq6juOktBuIOQruOtKOfKz93P9ytPYMcM3u58YdYi8zNdZprOxTud/Z6osn2m0Z6Jcvsm6tF+/7oqDp7tH7Z/Q10BB8/2YzkOfpfJomQvHbsOELc6SPT240k5rNjdRVmvQ7O/jTcqBAnvcjS9FWFkcITEa3i5uvhqjvYeIZGJk+vOm1aHlrlkoohG5uRJYo8/TqsI0eIk8TpFmIXFJA1JrvaB3bXFAf7mwTWz8jdSKGAgur2t5c3h7iT7kBz7TDVf3JND/kvvjdLsuXa2z1ezr1v7Marqr2HHtsd4tvNVwn6JsAWOHue9lRZ7Y//JbzxvsfqMTelf/iW1I9qfzpbd09Xr2dTqoUj50MyKkQGMmejAWPsf2lQ3YfR97OrAeFqdeGYXdn8/0e99D5lI4oRCHNm8lG3Xxkj7joPLQk8XousWPnd2RbOHGKvVO5tP0BfdQrT1DMV9NtL7QZ523V989Jzfv3FZCX/zqdXj5mxfjFqtnO2LALO+Ht/v/DbJt98mvW8fMJAL2HBNLprQWZq3jK5EJ5trbp9RB43JmEr8phO5GIpyG3V1iG9+k5r+BpxwLxgGCIHd1MyJN35N5OYcXL4yYjkWLza+OCtpCjNdZpruxTvZfo8dm/vsnpbhfOCpfncsO0520xtLj1r2BSbcp/Hsr8z3cfzASSqP7SP69z/n8ds0wMLS4Z6XeynrTKMV5LPII/jGHYtprltJIHAdHZkjo4belPnLaAw3ztqAhwthvBvtUJ52a8DmJ5+qw7LSuIqK+a01nx93MMVUBVoXg3ArsoehqbZD3UnyPHl0xTs5cus13PjanlGa7bl1ZlNk51Ozq4LVfPKe/07V3mU82vAzkskQMa9GwqMR8+n8/DZB+5sxir/7/+K838bym9ZSv+7Kae/LZMxEr2dLq//6yfeJpSw6QklK89z4XeaoAMZMdGCsXu881TtjrW7ojFJ16hCBr/53Qo7Ebm8DCR2Vft5fNVAAGfVruHUbSxPk5kGOu5LNNbdnTTR7JCO1GrOXN9qewwp10uuXCM2FJ35unvZYJuvqdbFptXK2LxJGDrwZygUseXk3+jUWCQaijusmiTrONNI7mzlR3s23YSyqIfn6VmI/+Ql2axtYFgiBqVXSZQgcJ4JMxtnR8CZHe4/w8DVfwxpsB3g+T67ns8x0oRfvQFGiPW4+8Exo7Iry7J4W+mIp+qIpqgp9w/ZPtk9j7S898B6eb34TmUiyc5GNrZVS3J2hP8cgpUu04iKCX/wi7ls3UVZfj7srSkMnwwMkhhg5sXOhGXujqgy1D+dpNxf2Yzku8jIGkaD/nOmQCsVcMbI7yYm+4wBsje9l5W/eTc73nziv/O2F0uyxUe6IX6BbkkjQ4KXbCokZfsyTjXj/Pck3WttY/tHNw/bOl17PhlZnHAe3qeNIidswsBxn1vR6KFo9Xa2uDLVTuH1gFdju6UUIQXuRyaErg2zfkEPKZxDJMTEGU0ZyjBxWBW/l5uqNbFy0sCPXJ2KkVjd2HeDts2cpCNlIw+LKVuucziOXOsrZvohw3/pB/nZLqpPW4zu48zAYv/0bLLvx3kkdopkK8WzmRDV2RWlIBVhy/6epvHUTycHc2tTrrxHt8+E6fCV66XGipRJXb5R0IsVbDf/Gy7GbsUzXeVUbL8Qy05KSwIT5wDOhoTOKpgtWVObS0Z/g3rUfTHYbu0/j3eCG8vxO/uejNBUnqOqyqWy10DMWoVwDQzOotnPI+9tv4h1cDl7o6u6Z3KiHblRDEW0nEsVctIjqiMAMBIksysf0+rO2NaHi0mRa+dsvv0JiyxZy//Ivh6+9iVhIzbaS+eQv+gwfz6nj2e5fktIzRO04Ca+GoyWw6ncTa17KW4+/QWX7aVrKFvP3R9LYLg+mz5v1ej10rIbygVOWhd9lzppe37isZFQB/kQ1N2Nzsp3uHjAMDta7ePz+EjJug7hXUO0uJ6r14zODaBik2jZx4OwSjhzuo/SB+S0OnKlWG54+njz8xqSdRy4HlLOdRUx1Eg/lb297/Cf8tGg/hp3Ek0rz+e8+Rmn9HRCc+LPPJ3IwG+I3rhP3pS8CkPnUJ7ni5bdwH7VIhCvRynpJuuMEOjJEt+0nuaiaYGE+na7AhAMUhrYxUZ7iRL/THGk6JzXiQvt2TpYPPBNG3giCORHceSdojuijIv0Aj73TONBDNpNGTyf50xUu6DrAzkMvEtbSHLjXiy696Jbk8y8l+QPfPbRUeKhJB1j0j9ePErqFrO5u7Iry54/vJ5a28LuMUak3EzG280irS6Pa5+OPrv4qLXlOVqS8KC59xmrGePnbB3+7jJUNHlw7a1h15AyVPc3DI90nczayQ7Mr+fKdf0FH5ghPHXuCvlQEHIHtzmDXnOTNohiBd/6NJq2URNGHKOoXdC1aNtyCdLJc6Zno9UR2nu++jjxWY3O2Z8pIvc73u7muvmjUz1v64qO7qMQTaLEI/002UPLGC8hIFLu7G3P5clpEiCNXF7Jlo49ojgtN05BA1AvlRgWba24nHVnEM42JBdHqt4938q0XjmHojEq7mYjpdh65HFDOdpYw3chiS24ZPyypIOo+iZ4sIFfr5LW6PIyf/IorPvOJCU/g8xHi2ciJmsyJM+vrWVlfz5eefoIfdTwLiTRC2HxkSy95bRbPVwnOJnS0RIKnXtrL6r1bWfrhmzDr69nVvpN9XfvwyCJe3NuHTBfhkSXjHrexojyyBZ6hGcMpK7MR2Z2NYzb0t9rZfII3e17hjXbJay3PEj5zB5bjYGmdaHYxyVg+veEE9d2nSehuftn0NPuuT5C+XkPgQ3ccalssUl6Nvq8+yNq7fp+JFhzH3tin6mM7m+w42U1zXxxdE/TF0pM+WAGjItrdKyv58SoXMjeIWVjM12pquEk52Yp5YHzNPjd/+3jsGE2lHthssKX4Hn5z9w7SeQUsu0g0OxrN5b6V91MRqORfD36fWCxEzIqhawkiQcEv7swhry9KwruD0531xOK5bN+ZYf/7Z/nTmjR111wxvI/Tuc9Nx4mejZW42cr5He/vNJwTns7Q0Z+iNNeDlUqjxWOUdJyhR7g5+v7bpJPNdKyvQz8dp2txhLfvryGdHyBqZtB1A9uxyXPncW/dfcN52Y1dUV7c+f68a3VjV5RHXjhGVziJaWgQZFJHvznSNO3OI5cDytnOEqYbWWzojIIsx+XykCJFjyzgPfda9odzefhP/4qr/v5/TSre811QMJ3ojFhXhmd/AUYsRSrUQ8qlgWWR1k0QAt3KkAn3c+jNFyh47EeceOgOvp2/GxuJLS3w5eIKBHBCN/BiQxf3eq4eFa0eK8rN6YEWeIWeQnqTPTSGG0n1m1nVt7O2OEBzOoreLyn0FNLY107COIH0HiZlp0EaFIduoTedT5cZwOc/yc41KRx9oEerHBw51F+dR16wmGU33Dvl9sZObpvXlBI55t9xGLnkSsbCaWmhcamGbbopLl1Mv5bM2hHyikuPiTR7KH/7aO8RuuKdOADSj+aNkSgP8+i6T+BJxTHD2kWl2evLNgzPdnjq2BOEUmE0yx7cP5DeKKLqCH7nJO4jy0h1VPL+W++R++1/GE6bmeo+N10nOtv6LI/9OzV0RsnEE7hSSWxLwwz1YYfCZKSgBxeGY5Mq6eG7t1eAkSF8SwU+zUvcdKjJrSQcOYvP8I/bZWShtLqhM4quCUxDI2M5WDYTrracPvQ2L+57nGjyNMUhOWXnkcsB5WxnCdNdMlxSEsAjS0iHbsHWT2L0FVEcM+gLeGkUfpbM4wCF6TCd6Ew0HaEt041jOhjFbvLv+zjHOt247DN4MuVYpsAKtOI72ol9upm9x17DucaDqZtYmkRzHNJOglTwFd7t9bB3x9PDAjWeKC+vqcXQDNpj7VjSwqN7qJrk+C/UWFiP7iGeCJEK9eDFQyweI6nF0dI+pDtCv3sPJdZiNh8/QveVJ9gl3IAY/G2B1+Xlvit/e9JK9fH6dk+nj+1scl19Ec/ubSGesvG59XOWYeGDtBGnq5sWEaLj+uVUFAiW1K3HXR2mX0uia4bK01bMG5Np9lCHkj0du3nq5LN02V04CJyKsxipOgpbU/SZuZy2XCx9fe5bAs6EyTR7qFh6KMrtpNP0Z/qJF/pBJNG0FI6RIrTiEK7WXlqtBlo6epD/439gf/GLVJUtRg+naYknsXXznAEu03WiJzr2Cz3CO3PyJNaRo5R3RuB0nLjuQnhySIRCeFNxfrPvIK2pDuLF3bxyl0k0aCJ0A6kJAsES4vEOwukw5f6Kc7qMLLRWD9QkGQjAciQP37183G2dPvQ2//T235IQFj05AjQdT/LyzNMeiXK2s4TpLhnWFgf42PVefnj4LXRsMp5W2sLr8UcSeEKH2XbmCJV//BpXfPWbUxbgzBdT5U4/duw/sKUNQEZa7F+Tw7GeBmRPGL9zGMdx8CYTPPNRNzxVgcwsAaeZDGkEAn8iQsTlB6nRk+jBSDt8e+8/8Udrv8qSkhXniLKVhErjWnZFn8GlmXx/77/zhSu/Mu7xn8/CwaE88sp+DbvhFD/PvILo6ySjwf3/2Y6jt/LEXQa4Q4RMG18wgb/6KHWNERzNi9C0YV9bExq/e9VD3LX4ngm3N9G+zffAgLG57iMZOibFb+4iHJccXHs1761sQNdjmFd4eHD1XVznzsXwdLOh6goV1VbMG1Np9pBjKoFfHnuSUNiLpsVJFDfQlqjA1xOl6uwxYj85gWCgAD5bHJGpIupDUe7GcCMe3cP77ad48sSTSC2OJgWYcaxFDWytdrN7XQ11hzxsePZXrDl8ik9ccR0/XH4nZl4OP/j1bko3LxpuITie9ox0MoHh1xOlbsznityQc43Ph3Xq1PCqW+7ZM/xhsJSmwiri/jjdywop6TpDbynsXuMllVNA1Mxg6CYWzoBuSzmukw3ZodXj5bk3do127k8fepsX3nqUsAnedB45oRArGxN86Kwf82uf5c1UgCVdC7sKsVAoZzuLmM6SYXOkid09ryO0FD5RRFx0U3pVF7edifJSvQdL2uiWw+f/6S/JK3OzT4tjJYuoKfCRMToXvHDsnClb4UaSVnLUe06FTqHrkivKqmgMnSGeckjZpbQVhfn+A2XI9qWYh2tZr71H3dEmmoO1vFu2CmvZfmzTwnYcYol+vv/uI3xd3MXXyyvY3d+Gq1bnUG+an763l7h3B1KLAxo4SR5580X+7q4vsHll2Shb5mO5MnPyJGcOv8N3eQMrFUf09LHhqEVqiU1R2CaUY5AyYGMoTcm/n+XtDxXzfq1BSVzSlavxywerMHwBNKsXU+jomsHvXvm7kzrak+3bQnRyAXjl4ECU5oXD77NpXQzdTLCrYycibZG2WgmtvYVMThwrN0SN4aPPK/n24ZO401diakHWPpA/aZGwQjHbTEez15Wu47kTrxIxwkgjgjv3LJ4rm/itX/WwuDyPzLFjRH74KPGnnyb/W/9IS25Z1gzrmCxSPLIl6PqyDRR7y/nFiR+RsZLEnCiO1HA06Clw6L3WZM86H5u3lWNlIhjB4+R1CqLGIg787+co23w1el0dhadO8d8sg+blV7Ns9cCDx5CT6dgDXZ40TQw7nCP1er5SS4Yc7KGhMzgSp6sLkZODEwphVFXRXuyiozKJ5T7JG7cWgNnJOxt9I1JFaohEzuIzBwbSPFD/AAFXcML7c7Zo9dDnj+f4D0W0w6agO0eHlECzixHlNxH68HV8e3eYjNO/IN2usgHlbF9EDBX29SR6cfR+4k4GaSTI+Jt45co0tEBRZ4ZQrsmhRfDO3u/QanqRmoUUFqXBIDmewKxNaZwp4z6d59QOpEtY8eH3+SmnI9lM2ujDa3hJJDU0fwJLxLAKOhB5fUROb6L4SD83v/s+zcF29t9YTJLVOCv3oYkEhg12pJPnz/wby/f38O7dpSSPCbq63FhuN0JLghSDY4lt4p5d/PJYPp/23Drq2EwncjBeZ5Mhhgo5ry6+mvVlG86JhAy1QDxW65BaI8mLC7oCOqf9Jdh0058j0G1JZVsK6ZVUBSq5c9ndNBYdIuJkwAVSd5F2TJCCymAVIAm4pvY6J9u3+c4VHbqZ5OZEaDJ+yTNnQoADEkoSBjFTwyq2KOgyaddcNGo2MqkR7Q5yRbExPPjnchNwRfZTFazmC1d+hX986xekaMCU+fiCIU6ugbIdfZTAcB/uoz/5Fd8q2njeLU9nk6kixWMnMK4suYa//dBiHtu/lW1tLyP1MFI4SClwHD94e3nrJj+WO0HGOkRHvcDdnCbccYgTT+yipKEHpCRX0yioKCfwmc+wLVhLujdDkVfndNRGmC7qKvPHdaZnO8o7UquJx8+JXltnz4CElvwKDqxaiatCUtqYoavG4u1VFThug65cHaHraJqGAwSCJcSi7XRE+yh0l3J33Z3TGkiTjVo90vGvDLXz3us/JRxwMOwcRFLgjVXT2b+O11wVvLE/jKEJKgt8WZFjvxAoZ/siojHcSDwTJ+nE0TUQepKAEaAmp4r2WDuZkiJCdje6AzIaIpbKQdpenGAIkPSlLExdX7AisvEu0s0rq/nK2j/ikd2PEE4mwfax/b3FFOYsx+Xt5VPXrONX7zURd+8G10lkJhdhxtCDETybNpF71xr0732Pr554gcajHtJnErx6U4aM6aYvz8U+HfYvKkJ3bMyEA5ZAS3txNBj4n4ZI5SA9YQ62PUNr28v8Qe7HqEx5weejNB7n6+VeTvUmqSvwULpjK4kR4nv2zH6+HdhDwjAwsbjDs5qrrTLweHgjvp/nOYhA8lLDc/xR/3qW/ezNAaFuaqK92KSlzEVlJE1ldzm6JenO99Jl5hKSG9DPZLgr+iZXtYZZ+pVvoOflYay4gtL6ev540MEPRSU/3P9THBHD0SXRdIJcT2BaucsLFcEej+GbSaoZXBkMTcexJWknQ7srg6ZLXCmHKDUY3UsR/n7yzErCaZP2/iT5ftecp7soFOfLxkXL+WN+gx8e/mfQ4vSnwxy4poCDK3w8+IKP1acG+nAfP9RIcnEFZUtr6XEm7/Yw10wWKZ5sAuMnlz/AwWP5hDhGzA7jCjaCmQIhCPhy6ZP9mGYcW0Cmbi/bc3XeNoqoPlhGXUs/TjAOToyrnvgBhT0m4qbP0WE7eNwDNSkd8TCmqVN1KkHi1K5hZ7jU5+PreXFOOR7qtCSlB94jMcJJFoBeV8fZng/eU1P4gZaPdKiHgiBkLOyWFrTi4lHR666rqjmbFyRs5vH0NRtIVTYjNIn+oUoCmoeYYVFMAEEUTddxnIFUkbRlY6fzSMfXkLDqWbN2E1XB6XWZyTqtHuqGEjnK4//+/2frMpuwF6QWRaRySSauxUnnUV7ioTeWwrblvKUmZiPK2b6IqM2pxZY2aSuNRCJwiNlR2mNteE0fn9/4ELGWRkpe3k2yfyfvaBp9ruhghwcdR1pY0lqwIrLJqtw/VvEn/GrfHpxUEb0JL5rPh54owa+V8pf3LWFncyVbOh6lgziOo1PsreLm+z9EoDiA+/rryD1ylJWDQln45kv867UVWEY7/TJAHs3Ymo0wNDRHkpeMYCUEK5sExyvSJHwhUpZF0ZkQSY/G4Z//Lf2RGhodD7VakoozR1k7KLZHl5fS7I7i9uSQjIc4U5JH840VSAcIhPjPzq084xgY6SSJoIblFXiTkowOe49soe50K11XVXOgJoftG/PQJQN9sF+Icdfzbl7dUE+3tozyYAU9hpfiq65k1Y3Lz8nlHFrCffVQO97QvfiD/UQiknUVBdy78uppP0wNRUUau6Lz1upvIjsG2h26ebVrFz2Jdmw7A2KgqwoCNhW0U3fjR/BXVwxU4CccqvIl915Ted49zRWK+WLjouVUFnydFxtf5N22HUQzETKuDE98opyq/eXkv/QeS/JMDCtDZ0snrqLCBXVKJoumjpzAaDkO6YwEMoMBlDL+8r5N7Di5imf3tJDp7ybtaqCg/Bgel4aIxUA6mGg4jo3t9tAV1Oi4TmeXGUR3vOhSsi0quPnNbu6OPEmL7qIqLUnG+rBOFXDV6Q4Cj3YSKi3F6eqiddEVw3q95sxRtOJi+rq60IqLsTs6QA60OdpduZIfbfwN9Ew3Pmwe3PsM6YJiqpuOUuOWH7xXShACo6aGtiKdtmUGZr6HrmX59Gd0Dq3SSOll9OaZOPZphJlGZnJwXMZwoWPSNNAzBnnufIQQPFD/AI0dNtvOSsp8VXQnZhbhzTatbuiM4okc5ZcN36X/SpuIX6OiyyZa4OLGqg/hX7KBZ/e2EEsNDAx6aFPdBfUzv9hRzvZFRFWwmi9d9WW+vfefiKWjuAwXXs1PkXEF99Tezfqy5VC2gUzuWvq2H+bLz4TYVirZuSEHhMQJuPlI4V0LlrM92dP5hqqlPLU9TlNvHNtxaO1LUFPgG1F5vZbrI19nZ/NRrGQRG6qWjurXPeyMbr4NUbce1/7DCPNVMrqFppfxqWfOkDbA7OomU5xHxbFuytNeWs04O26q592lGhG/G086gx7y8e2r7iNjO5i6xh/29LBIStqKdP79bi8JzUVfgUl+r07MDJDRNTRXHIQgIkvQvDFwm5RHEkS9kpQJui1Z0WHy/nIfT9yrk9YKiPt0FjUlSQU9HPuNW3mpdyPxjE2PpWMGvfhdJivuWYU5iTB5TI10PB8nWYDPbXDXklXTipSMZKGnRw5RWxygMhRk9d5l7Dx0igPVkqM1BlJIbF3gurqOD990NcA509kW+gakUEyHqmA1V+Xcwptnt5O2MrgMEwyTbTcVsvGQn/KG9/lKeC/76jeAgFStDYPj0OebyfR6yBHvj6WxnIGIpT7Y83nod2uLA1xXXzT4+5sxPH00hhuJpiM8efJJpJT0p/qI57vAjmPqPjJaCoSBsGx6cmDLpnwSfptgKMK7OQb5vTqOiNNwtpiKbpPlUUnr4nJeXHYttsigS5O7SkNUSEmy1Ed1WlDSaoOu05xTyqPrPkF/roXL3UM67fCDOzfgtgXa2nI+dmYP/uIIbgtSHgN3PENXrcXbq8px3AbdwQrQBI4oQGg6TiYPRw9hW150kUEzLHRNH1XoWBmoJGknqc2pxUrm09/ejci0nHeEN5u02tr7As+/8T3itTqFoTQRr5eoTyc/r5w7191DVbB6xN9/dNOBy1GrlbN9kbG+bAN/tParA22XHEFXv6S3oYaGQ92UfmpgrPfQpEn3T3+G9e5BLM8StpVpiG7BTw92EOnbxY3XXbFgF+l4260tDnDvNZX8YsdZ8v0m/bEM915TOeq9VcFqqlZM/aCwbHU93oYkWjiA29XNlzbdyDXX6OPm3/HMFt61PkzqZD/J/DZuPrOLtrxyLE2nMNZPb7CApvxKFqVaaC3zYOvgsiSONvBv3IBM93KEI9FLjqMbFkZGYGGSNDKUdsWo64TFR/vpKM5ny63lRIMGmmYgHYv+2iB5wWL0knux301QFfSg9cbZWF804QS2IRq7ojy69RS6Dhlb8tCmuvP6m2ZLz9qh9n65Xd3c2t1N9Hev5LiTRhMCoeuEvZLmSBNVwepR51G23IAUiqkYmMDXCb4PYee9itdl0J/qY5/WwLHPVPPFPTl0bm/jhcq16LbNW1sa+WJwP5ni0gVxTibT6//5wCp+vbuZbUc7CXhM0hmbZMaZ5PcDw4GeVUVXjepk8tTxF7GFA+housA2BEKCv6CQuAyhleQh7SiWS6M7V6Oz2OYQQV63HTwxiAffRU+ZpNwZXq7xk/E75Pea6JrB9UWFlHaleXd5EbJmL/6SLqSQSHcUki5S7hQy5eaJFZDXX0I4RycnbBPJM/Fp3uGUEIcwOgJT6KSlg9QzCKGj6xp+vZgP193BVWV1w871RN1EkHD3morzWo3LFq0+fehtvnPyBySqoC9HA1yUWj42L7+Ta1d+ENAbe/5czlqtnO2LkKG2Sz/ftZOGMxmElUO/Ex81ec+sr6frow/y7Ugt/b4EVsW7uEiTKG/j8UNBXmuzsu5Ev66+iFcOtmM5Dvl+17j9lqfDRBGZc9pqbb6Nnrr1yJ1tFAV9tOQfZE9dJS63jtPZRm+8Fnc6j9JbP8lhWilw+XAlt5MQNpoMYdcUkZsCq6+GpF2K3rYE3duLkSrAr2vcU9FBZdBHW1knr1x1nKidIqknMAxzYDKYt4j7lnyMdaXrsJL5w1PBfG5jSkcbPhDeynw/3ZHkOTe6qRhZ4DSfrf7Gs2FRspfiZ57grOWi6cqbcDW9y/6SBJo0kIaOEBrH+47zyJ5vnVPgmy03IIViMkZN4ItXU2B/guriRrqso5T7y2mPtfPchjzeii+i187FlDaWleCR108TyO/F9HmzSrNriwPcv66Kg2f7sRwHn9uYtnaM7WSyIv9q9rYdpzo/F1vvpT/Vz66OndiOg5aIo7n9aKk0iUIXOFGQ2sBqraHhyg+AE8MxXaBlcOXnkCaGUV5Epwzz2gN1RJ04DjaSk+hSQCYHXUikaeBoKTTTAFNDKy0CO4qdH8Qy07i9RcTTXQMpIWkTiYMUgkKzmHjXKsjko+s2/3XjjWxcNNF83nM1qjjHM6O/YzZptSdylP37f0LEbeAJewiGkqw8Y/PR3/oai1feOOlnXM5arZzti5SqYDU1HhsndQJdZ9zJe2c8BVBdQ56+j27NIZMKgCtJMHOSVGcuxw+cpHbz1Qs+CGCI2SwCmW6F9rLV9bgakvSarQhTw5dbSlviFP7Ko3i1Vj5W9yBPtb8yPNr9t67+A5J2Eo/uGbU8OF4fWMPTxyN7vkW37KU3EUKzi3BEAr/mxev2jJ4MFmRG+97YFaUrnMQ5z6KTsRGG+cqnG9sz968e20W6P4zW18NvnD7LY4tvx/Z4cOqD5OUfZXleEc2ZLnTNoNxfPjzxc6YdYxSKhWbsBD4nVcg9i1fwRONZ2mPtdCU6iWoZ5MoM3vZ6UpFFJMMeArEIub2t9JVWcfzASVhdnxV6DbOn2RsXLT/HWb2tZvNw9HtIc99vP8WvTzyLo4cBgaYNTJA1rRQ+t5uEncLlGXTMTYHI6Pi9+YRjSTSh4ULDcixyvIKkbRLwegilU+R6PUStNJrbD8kUIduF42ToDCcpyx3oGlIZqKQ12oKE4QDJdPfbY2rEUzYtVgy/y7xotTqROEOybAtBV4j+oA4eL7oVZO3Gj03paMPlrdXK2b6ImWry3pKSAKbPS0oswSUO4KWHhOMlE8nFneqi6P/8kpN5f8rf7Q5nzbLOXLQxmuxhYmRh3paOfbSE23E0STzlJ5gvaUsfGzXaPWknuany5tEbCDLqc4dev9WyF8ux8GoFQB+ankBa+RQ7N/CpZR8ayLE/j30ftSQpzm9JcmyEIZlxzukxPnJ7s3FzH3vTuK3cIHm2iYJoHz26l3fra0jld1FICeHcFTjBTpKGJF8vACS9yZ5xp0RmU6W+QjER403g27iohMqCr/Fi44vs6diNRwvSlzqOu/Iw7lQDd7zhY1fe9XRLE7OrC+uHL/NX138yK1oDDjGbmj1aa6rPqS8aioJva3oPQxfsOirJkMaLi49fV0Z1ft6wY94abWHL2VcGouNCR+KgCUmZv5S7F98znE890plP2kmOtiTYcqiJPI+P7niUav8y1uSuG9zHD8amj9X9yfbp0a2nMDSBfR7pftmi1fGuQ+j5h7C1NCKVh0imCcaqkNZ1pNffNK3PvZy1WjnbFzG1xQOT96ZyJAeWfnII/ez/RWtL0iy3417iQXPaOPL0q2TyV1FcnHtJLutMJ0dsqACTvQ/xRMdW7MBBHJHCsnxcXXw1R3uPTOjoTUZtzsBY+LSWRrcLENGriHZV0eKt4PutfZQ+EAWYsfBc6JIkTD/CMJs5diPt7uoOkd51DMNy0RcsQDhttNTvJuML0u46Q070fr5w5VfIGJ2YVglne+OTTomc716zCsVMmcjRqApWc1ftXRztPUIo1YPL0Cj2l2Nl+qDmLL+5/yyRXh9LynJpzBiku3soqSxZ8NaAs810tWYoCv7qoXb2pE5ROaiDOU4d68tGOqEbuKZ03XB0fGRUerImAVWuKO/se5/+WIae/hQH4zp/3fz+eUeUh9P9BntMzzTdb6G1ur3/FIcb3yW5rBmpAa4EMh1Hc/KQ1nV4zKphm6bj7F+uWq2c7YucoZO2oTM66uuRPx/4XhmZoipOvfkML6RfxhYxdlVK7t7xOpQH6IgW4srNueSWdWaSI7ahaikv7kyRSi8BVzdfuPZG1pctHx5LPNPpm1XBah6+5ms0hhsxrRLeOSLZEe0eFt0dJ7uHpybORBxnYyluuhGGC8mxGxr2Y1olRKO5eEwNI5OmteUE0jpLxfG9fOV4F02LVxGr6GRXQYDiYDldTox7V7vZuGg5jV2V/PVzQzcQNSVScXEzUfu2Ia3Y07F7MBqbIJQOc3hdCceuSHDdjl600z1UnUmjVW2gIxrFVZDPomQeMH6U82JjplozHR0cmRs+Kio9CSOLP3ecGNDr1t4433rhGD63PmNH9kL1ej60GkY7youSvejhEG3JMyQKnqdJ9qK7HAp6Pdhuhw3uJaxe8gDJ4BWjOkJdrsWP02FBnW0hxIPAXwArgGullLsmeF8jEAFswJJSrp8vG7OdiU7w8Z4wzfp6urzr4eBRCjqi9NKLUw5/uPVRmqqXU2emqby7Corrp9jquTZk67LQTIRussjT+bZLHPm7pb4oB8/2D9sCnJc4ztZS3HQiDOd7oxiadhpPp2jvy+AN3Ys7mcPm93/Oq+s6MawEL9zm4nMpF7evKqP3wd/hQPevSDlp8jUvG6quAKYerJGt592litLsC2c8zQZo6DRZXXI712xYN5xWkufJ44R9nK23lbC7P8Vnf9nDwx3v0NAeolYkyNkhyHzrH88t/p6GDdl27cxUa+YyJWFk8Wd3JInlSAyd83JkZ8POudRqGH1OGpk0X3njUT7tS/H6cujMiVJkm5zypnHyIT+vho/e8Cfn3BMn0upsPNcWgoWObL8PfBz43jTee6uUsnuO7bnoGO8EByZ8wqzNqcX0+gmVgtPST2+6F708gm9JL1pjiPhPf4bvd3572uKdTU+z413UMxW681niauyKsuPkwKk5We70WFsAXjnYfl7iOF9LcTM9fkPR7J5ED5Zj4WQCWHYnhnWGdGgRHTkWPt0itztJKB9aK32s/J3fJre+nocjNeesIEx0A8mm8+4yQ2n2BTJWs8db4RpKK+mKdwJQklNJv+jirWvi3LTjCDec7cR19dU4Pd0XrWaP1evzcUrnS689psajW09dUHR6ro/xhTj1DZ1RYukMLtsiHDvNc8tt2pYmsK0MkQCY0TQlEcHtK+8Z1dpvJONpdbaca9nAgjrbUsojAEKIhTTjoma8E3yyaODI5cpX5HO8nRum+xYfBeEE2hLBjSfeYtWfvU39hz+F+9ZNUwp4trTymeyinkuha+yK8ueP76e5Lw4Snt3bwt88uGba+WoXQ7HIdI/fUDTbciwc6ZBKJGkPhbAcjbM9uZT2h1jZEeFMvUOoyIcrv5AV/+X3h8+x8VYQJrqBZMt5d7mhNPvCGavZcO4K1+aVo9NKQqkQ3Xb/YFpJkOt2+Fl1uoeS5hYSW98g+fbb+D918Wj2RHo9107phej12EFa2cj5Hj+zq4P27igY3fhqt3HE6iftk9R2a2juQta4K7mz/t5JO46Mp9WvHmpf8HMtW1joyPZ0kcDLQggJfE9K+f3x3iSE+DLwZYCampp5NG/hmMgZmWw5qSpYTWO4Ed3jxfB4keEUml+nKyfBazmC9xYn+PyT/0bF448PC3hLbtmkk8QWupXPQt1ABiICFro24HzEU/bw6sJ0hPlSKhZpDDcOd27pDrVStcuiz6gnr8eg3+Vlc9cebrjlTpaUummp9LBk2XXTSs8Z7xhly3mnmJBpaTZcfro93RWuoYfPa0onSSuRUKUXkt63j8gPHyU2qNnt19zAGU/BuPqTDddONun1jpPdl51WjyRz8iTdP/w3CmvqIf8YGZHEn3STDqbpX5RPXqCIe6/5g/PS6mw417KFOXe2hRBbGL+C4xtSyqem+TE3SSlbhBAlwCtCiKNSyjfHvmlQ0L8PsH79+nE6T1+ajD3Bp7OcNNQpI5FJoGk6iaAHEkkKetMkNEFbXR4lLx4n8sNHOf7Sm/zzhx4at93UXObNzYSFuqiXlATwuwz6YmmQ4HPreEztsls6a4400ZvowZE23aFWtJ4+Nhy1OFlVSzqdJNcOsy7WgufWL1BfX8/MMkzPJVvOu0uR+dRsuDx1eyYrXCO7lYyfVtJKCaAXFpI5dowjjz3Fd46aUF0z7iCcbLh2skWvDV3w7J4WNF1cNlo9kszJk5x84ge0lp3CXtGBxAZ3AictKfeVc/vSj0zZvWUysuFcyxbm3NmWUt4+C5/RMvhvpxDiSeBaYFzhVgww1VN4VbCaB2t/b2BqV/XA1K7njj1LT1kSTyiE0Rti9+oAtXkVNEb8k7abyoYn/oW6qGuLA/zNp9aMygHMhmXa+WQofSSTiOFEwly3o5dVpyxK3m+mqF/jbG4ZV9yynqX/9X/NuJBrMrLhvLsUUZo9/0xXr7c1vcdJthNKhei0+oiuLuLg8hxuedfPyqN9lADNi1ZgSUlxXwd9onRc/Vnoaydb9Brg+f2tl41WD5E5eZLk61tpePlxfnSbRrjEQXdbFPS6kW4f19av456rP33eTvZIFvpcyxayPo1ECOEHNCllZPD1h4G/WmCzLnoau6J8/6U+Mk7h4FSqG0i2G6S0DtLAU/dvRfR3o9tR7nyyCy0883ZT812FvFAX9XjbvVyWzpojTTy/7zGinS0UNYfp9zjknO6iUq/HqZIs3XgVa2ZQvKW4+FGaPft8oNdLEGY+S5Y20NIXJ+J46Tf72LKphD3XST77uI+a9lPonjq6ACPSSPkbZ8i4b5ryGrwc9bqxK3reReoXI0NOdvzxx2k147yx3CHpyacwCpE8gazykxconjVHW/EBC9367wHgO0Ax8JwQYp+U8k4hRAXwAynlPUAp8ORgQY4B/FxK+eKCGX2JMDb6uvNULzJTQGWwglb2kgwEqCksp6fjNM4ii9+Ov8lBGWblmTTBrWmiUxTjXM5VyJfK0tlUN9/mSBPf2v53RFvP0OtzcDwZfJqbyrYUFs3oRUUz6pKgyH6UZi8Mo/W6AD0aRMj3EWYEEHhdxaS8Cd77ozXc/FYPX31zC03ldVTse4f87Ta9T/580gLKy1WvLxethgFHu+9rf0yL3cvByhQ7birByqTo8zkg9VlJG1FMzEJ3I3kSeHKc77cC9wy+PgWsmWfTLnnG5sxtqCsY7inqMkvxuVx0OHEygUKiXp13lrdhSYtTXg9d2/q46sl/o/Lppwk+/DDE4xgrrhgl4tNNpbhUe3Be7EtnU918MydPcvzwc2RS/QQjBgldo6Yxw0feD1ERqJx2ZwTFxYXS7IVhrF5vql/B8W0fI2mcQHoPYBOlK97N26kMB9aY3H82iZl4F8Pdi15QR+bYsVEFlGOvzctZry8HrbaOHOVs1wm2rDJ5b3kJ0okTDzjUdproeg5rl65X0ew5JuvTSBRzw3hP9B+0NlpNR3wp39n6NjJdxDOr2wjmvEmgs5fGoMPrN+exx/Fw92sG0X95jFo7SlW8e5SIT6cAZraiKXNxA7hUbirnux8T3XxHLkMWFOjEP6xzttiLtE2OGJv4+EdyKfjw1EvWCoVi+oyv15to6FxPIHAPb3ds4c0z7xGx/YT1fn7+kUICiRysG33csD/Cil6T6oJCTrf10/TsDhY/s4XlH71d6XUWMZda3Vag873NBq2rPUhXCi1WiG5E6F+cq9JG5gnlbF/GjNfFZLiP8aFctMQVFAc9dMTBCRbQ79ch1U9hAnr9kn+9vhotVIpuSn7n1Ze5ZkTkpPLWTVMuzzV0RomlLNymTjxlnVdxylwsf15MS6qTCfSF7MfYm++iZC+Rf32W+OOPIyNR7O5utOrVZDQbqWmYmgEVlRxYu562lIclXZdHoZFCMV9MrNdlnO2NI+Q+NDOGJW1s4SFQXs5xV4LXNwXYvsbLlUcctq+4DyhDj8f4o8eeokbp9bwykV7PlVa3mnGagnEi9TUkDIFm5+KILvA6+M0yrsi9iZurNypHex5QzrZiXEZewG6thC9c+RU6MkfYcvYV4p4k/cluLH8nouI0MuXjVx/PoWqbpOi948PLlUWDIm4Wj19M6TE1OkJJHCnRhMBjajO2cy46fyx0N5HpRjimEugL2Y/a4gB/ti6HE++fpq7AQ85f/C2xrm7s7m7M5cuxu7s563ThdnIxnFJsI4bl7b+s22gpFAvFhqqlPLvnY6S1Djy4yMnbRVe8E6EJ8ooqOWOeoT/PJJ44QOmBDGGtmKbyJVTseJ7IDx8l/vTTlD78MKXxOIb7Cig+d2VK6fW5zCQaPZleX6hW/88HVnH8wEkqj+0j+Kc/56QZH87LFkk3jpnAwAWmjbALMGOryfTWcaClmCOH+yh9QAVH5hrlbCvGZfzCkeXDAxbebX2PnrCDpcXRNTemGaPJFaGID/q9TpYjCJDMOJTmuXEbBinLIplxpm3fkMh5TG3WO38sZCP+mUQ4phLo892PoeXH4OOPc42mI2NRHMNEr6rC7u7G7u3BWFxL7qZboOQEBXoS4fhYV7aKtw9dPi0PFYpsobY4wF/et2lYrw3PpuHpk+F0GKEJygoXcbq7g57lYdyNfmqONABgVFXh9HQT+uY3Ef4AOPa4mq30ejQzjUZPptcXotXWkaOU+nz4HnmEFruXlwad7AQZIjkOtUkX6YIC7qi+FZG7CCtZhJ3MvyxbHi4kytlWTMh4hSMjBywIovQkdQoK3LjyyohvXklXbA9lzT3AaKc7Pk4x5cCAARPLcfC7zEkFpjnSRGO4kdqcWqxk/iiRe2hTHcmMM2v5egtZoT6TCMdUAj3RfoyMxhievuHjmjwe4ehbeyl/9RkqO89id3fjuvpqnHQKmcngRCMYi2vxf+pTdN2wgqe6f4WR8WJLmy+t+SxF+greO/L+ZdNGS6HIJkbrdWB4+uSQ051youieKH5/N8HKEImlG9m3I01lf4SyTAYMEy0YPGca5ci87unq9UjGOqWXil7PNBo9mV5PR6tHfvbJ3YeHtboqFaLVHefQEhfbV+eRcNJEchwqenUihjmcl33tyjuH00Uut5aH2YCQ8tIc2LV+/Xq5a9euhTbjkmXI+fXoHlqjLWw5+wqa0NHTFl9uWUr01+/SqAWoOnuMurpynJ5uWoM2rZU+Krtt6j888Rj4kY51VbB6eGiK5VgYmsHGnM/w611N+IP9xCN5fP6Ga9m8cuq+3xcDQzcmy3EwphEtmWlRzcgbnzB7CZY/h5aO42DQt+tqZDQARjd327u4csf7aAX5tNXls+yjn6Uy5aW9Lp+WPIeeRA+vN71GoaeQ3mQPn1j2IDdV3nxJFCplC0KI3VLK9Qttx3yidHtuaI40DY98L/eX0x5rx5IWHlvDTsZZI1ajv9TI6mNnKT9zDHP5cjLHjqEVFaEFA8NO93h6PRWvHmrnx9tODTuln7257pLQ65lq9dDvXEjaSWWoneMvv8U/nJSkPWFw93B/6BTvLO0m7IWIX6OiR9JaYpLnzsXnzWVzze3jtvNTWj37TKbZKrKtOC+qgtXDF+9bLUk0oQ84XvRw+PpVPJmqIZU+i9F5FZ9t3k5XBby9youu62jRFJ9/8t+oGCeve6xj/fA1X6Mx3IjlWMOOXUwcJ5H7KnFhI3M0TvaWsKTr0hCMmUZpZtq2aigaU6TZtMROINrbKUqkaM0xSOe1USSLaFt2gOccmzdX1eHOCaAHc3jN/Q6fXv2bPHbsP7A6LRzpAJLeZA+6ZlCbU3te9igUirln5Ipkb7IHS1roQscfyON4qpPmzD74kMnLV23k89s9rDnZApy7OjlVXvd4jIzo2rakK5yk8RIooD6fiPpM9HGkVnf1hjjy6g58P/s27+YXEF9ZhqxoJIPOr0gQtExKCyqIOO3Eq3OomMTJPh9bFBeOcrYV58Wop+KcWgzNGHa8eiKSSOGL6LokVZ7k366RuPQiopkYBd0GwjRpq/Ph7D5N21s/ofqNp/B/9rOcTbbSX+Ib5VgPRbhHfn5+wE1ZvomTyac92s2rp95h26nD/NdNN7Jx0fL52+85Eqq5EsHGrijtp5qxunvo6OvFcAmMRQkaS3QkNnbpaTo0nYyhIewSkoF+8gIuluRW0JvsYV/XvlF/m1urb6PAWzi8AqFQKLKTAd0yebD298gYnXh0D48d+w+64p04AI4X6eomWXyEXz5YiK93Daf37MUKBVnZVkpdVfm08rrHY8gp3XGym2f3tvD8/lZeOdg+LwXUc63X86XVupSIPU/y8pIE29f0kXFHke40mVgpmIKMR+LxmlTo1VM62YqFQTnbihkz3vLWw9d8jZ3NR7GSRYTtVhAOjuXCMTtJaAJLM8joOp0FHrRUkFC8lxc/XYoT8OE4FrLxB+hCx+mQaHl5dAdTmF7/sCM3FOEeiqBua3mTvkwYhIMdOEjMEfzw8F4qC74+KyIznkhfTC2m4IPiGXw+zvbE+fuzLlIdHTiWw6bjb7O4JMpuEeWoN0BJTCdW4cFt+2jUTQxPGstxozmu4Yecq4uv/iAyZgtSkUVU5S6lKpi9x0ChuNw5V7fWUlscwE7lsK3pPY5Yb9GTiSIlGE4uwm3xo7LT9N2Yg3QsXrzqZr5wsIE17VPndU9EbXGAhs4omibmpCjvYtfribTaMvtZkXqPFS7JC7emCHt1Iv4M5X027R4N0xPFredghG5gdXUB9668WqWLZCnK2VbMmPEKQ5aU5PPstiAZJ4EwJSWVPmJWmIStYegGactCOH4KuZFUpIyu60/gyDfJizi05EqE0KiMGvTKGNdtbSPf7qX+2rsorUyR6ThJ4ZGjlK64ArNyQEiGnPvHdx0i6TmI7gQxDIudzUc55pgzymGerkgvdEvA6TBStI//6Fs0exOUH2rndMXNpKo3UpCJ0efLxfD08vz6CElPkETQJFZchN+fx4NrP853t5wgrXXgd0r5vWuXkjE6hx96yvxl7Gw+yq+3p3jmZIIXd76f1TcxheJyZzzdAvj+S31knCUIM59NV/ZzoHcbnqCGjcROC8CD9LSRXnSa/1jsJuK9j6U/f5PShmZg4gJ4fL5xpwqPVyB4PjUnl4pej9TqyCOPDMwvaGnh/TW3kVi2AlfRWWJVbTRGQ7SYA2k/pQVVRJx2rMocyswAoY7l6Mk63LKEu5asOifwcTE9cFzqKGdbMWPGE83RwlbA7aUP4Q6eYcvZV7Adh6SVJtW2CTu1BI+psfHDV3HmaBORRAy/Bk5XN316Cj0tuaovQNF7x9H2PUHvf7wwsFFNH7V0WVVfT9WKaip8NfzwcAOGMSBGv96eQmZOTUtYZirS89Fi6u3jnew81cuGugIWladGFYpOxshpYWg6+0sSPL7Zgy5duFeW8JG9fQhvP51FEcy4jatSIksKqSiowpAR1pZew121d1EVrKb0vspzWj4OURWs5phjIjOnsvYmplAoPmA6en1Vzno+uepDw0XvP37/p4QS3UgJugwQNbp50TjCO5+p5v62jYR3bMMMh0iuDlCbV0Hp6d6BFBPDxG5pQausRJjGqKj32BxnYEaOYLbp9UitvnFZybR/b6xWy1gUDJOOMg9n8n1kSrtJXfEeCTOFdKXIDQkyhbnYPg8pr5sK+UGqiJXMn3IQUTY/cFxOKGdbMWMmKgwZKWwbqpZSW7yWa0rXjWrZN2rccMGf0RhuxLRKaDx2Ftm8gyte20Zpcy82A/1f7ZbmgeXNqqrhpcuRUZTVPh9fz1xLS4mHTq2eX59uwp93kngk7xxhGdnlBODFhn0khaQsWDUsRIanj7B2FGGm6I4UjBLpuW4x9fbxTv7HL/ZjO5JnjrxJ5bJ3CLjdGJoxLK4ADcd3UNmSpNJfORxJijzyCM7g0JmeW1bz+M3QFwDThty0Rld+DzmLXyNVWIgPWLb4sxwIv0G/k8SreYcd7aH9PN8WVgqFIruYjl4vKQlQFQwMa0CZv4wtDdt5s+U1pDdN1BKUeEsIpUL8qOw09t3lxOxeCvv8eKw4H8k4pD1uqiMuipochBBYpxvP0etSn2+4wPLNVGBGjuBMneq51Ou3j3fy548fwHIc/vO9Jh6+ezkf31BzzvuGotfGiisAhp3soSm8rquvpsWf5v0qydurHLR0ASl/lHw7ictfQZfWTnzRQOu+Ty//TZJ2cnTwJYjS6osE1fpPMWucT27Y2GjFn63LoXTP9oGnfl0H2wZARqPYXYN9n3u6kZnMqCiKFgxw7Euf4R/jz+DoGTTb5E9qH+LG6zYBo7ucDHXSsGxo64/jiq/BY9XzB7cv5YnG72E5FrYtuKXwc4MPDfMjUH/15EFe2NeK4ekluPgZTHcMj65jORZ5wo9XGiB06OpCz9jc81w7mfIiKjsylId1OusKaOw/Rbgih23r/ITy3VhYFIggH2Yl29xnKBosdvzEsgepzamdduR8LCoPcO5Rrf8Uc8l0ruHmSNNwn25d6IRTMXoiFkgDx+imyl2KzMSxhcTV1Y8jHa7f3s2qVp2Sht5J9brvy1/l74+ksYSGIR2+sXkR9euunNTeiVrtzbcePfLiUX713lkcCY4jyQ+4+PZtpVS2njrHsR5alQUGxqd74izyVGCdPs2RdcVsX+snVZRDSMap18oIOTFsl47fm4stnQsueFRaPX+o1n+KeeF8KrPHRivOeAqo/9IX8dy6adyIgBONIAcHMAiPB+k4tOaV02jmsG/vL3BWJkEKhO5w+om/o+jwXtrXVNGT6Sfd10OBnkOz3Q2mSUluJZ3xVjT3bjT9BIf7YqO6bbiDZ2hORzEitaOGAcymcI2MfBRk4oBE8/SA1NClTjqdQkhJ3pl2eos8CCmpCENXnsbj9xXhFS50y+Aj25M8tzGOLUohPw9XIEChaWBJiy9d9WXK/GXs2POtUa36RrZvnCmqbZRCcXEznWt4SCOGViiPtiR4LvwEup4hjSCGg8fvxRA6QV8RJ2KNbL2/nr1pnbtf7CTtjmB6R0e9h/Ta9a8/4cr8RfTYGjfFzhJ8pYnoYNoJMJzPPJT/XVtfP9zVZLr7Mld6vSbh4VeOgyMFQoA7EePA//4uwb6GYcd6ZPS6OdHKoVqD7evyEHE3jpmBW2tI5wcImxY1uaWEI2fpcWfIdZeMH8U+T5RWZwfK2VYsKBMtc5n19aOKa8z6+mEHfLigJBqlJa+Mf168mZg/SXL5VjRdgpRIBMe9NjsTLxI5YJIwNdwZGyfWjOlyIXSNTstCOg6plJ+kiPPSu6coKo3RHQrhuF28cuI5rFQCx6XzpWu+QpG+YtIcw5FpKqUdqXNuFsC4DxBDkY/rvQW8vuw+orgxCjXy4ikcw8F0BEm3wGsJpCPp90lsIZHoOCkvGW+GU5/egMycpThYSr+WHLct31BHF9Mq4dhZE6tE5e8pFIqpGXK6q1xRth1Mk9Y68ODi/uvKqM7P47Fj/0F3qh+h65TmLSKUCvHEJ3T0tE03UQr6MniSNtc6lTyzZjlp6SHkdWElCpDxPBpTiyl+/V+p+eGjHHtmC2d8RSwKtVN+8uBwJDz48MOkeuK8dNaFZdm8vMvL/7ihhMrWU+MWZc6kOHBkseJYvR763shCxuUtLXxh3d08VnszHidDMBWj8vh+tLpymhOttBTpeHPLiDUn8bjaefLD+YR8Gim3xeK4i77CAMLroTS3knDfccLpMOX+inOi2I1dUV49266i0pcAytlWLCgzyasb6YAbi2qwjhylJ+ZBNmYwcxtIOCbSNhCaBRKOL3Xj0jT6PToIh7juY927cW7pF8h0kverEry8NoeQEcW0JZz1s/blMKUFffTn6Gy7UqMvoJGx4Nvb/h9W+TeRzJRSkvLTbWscef4NKm8cKB48c/gdvssbWE4GQzP53cc7KGuOjSoWAkYtKY6MfNgtzVREonxDe46GUIacRg3LlaKiI4MwDJpEP1VOPprfR8/v3EM47PBjew8SC00zqa6/g5Ptv6bfSaJrBteMs+xYFaweGHX/3PtknJ5ZqU5XS5QKxeVDbXGAv7xv0znXfJm/bDjdJGHFsaSF4fLi9rqQkRje8ipSyRgvfFqSyBxHGlHcKT9ux0W6eS1xGWf7mmKOF/t4UV+Pk8jFrBD8YXs7iz0eZDRK6Jvf5FDZKpLl6yiUKfrcAQ68/UuC7YeHdba1qIqOT36WOi3JKcdDujdDcUGA7kSKI8+/QWmVd1xnemQ3kFF6nbGGv4c12PpwcEV1LcfR+k6SSRRR5YWO2hghVzvP3R4kaUJvMElBpJR0Tg590oWw/dh6G92Lcsjx5wKSRCY+rpMNs99JRGn1wqKcbcWCcz7LXEOO94quKK4n3ydtV4Pci3QyIBy0ZCE+p5uoS4BwEFKAo5NyCiht7wMrQ1mvSako44fF5RDPw5XMYdWpNhbHcmjRw7yyKpekoYMj6BdJ9vW8SCKYR1vrBrRUiq7G7Rx6NkZ5PxyrdUitkeSnTfp9kiavTfmgKGseD06oHynBtXw5mePHhos+z6R1mqwcFhfXoLt7acvrYElnOxVnSoajOcTjLB8TuXn1UDu+7dUDI+vDeXisZaN6kVcFq8cV19msTldtpRSKy4/x9HpsusnQ0JxEJoEmNDKGwPF78ToQDztYIgK4QM/grn0XIeGtJSl8cYeYtpvChiVE3Drv15XjcnppqZC4bDexvG6E2UefLEW3MlR3nRmVTvhI9Sasd5sxcHhw99OIdffR0aWjS4eSF5+jbzBSPjL4MdQNRBtHrztr8ziT78NX5KHVlYsVy6MyFaLzlny2X++gI3FEB7uEQHdKSRcE0X0BvJqJTLbhrSwn5dgQS6K7LKRdwKqSW/n0mlsBRjUPOHY2Omq1UWn1pYVythUXNR9ExmuJObXs6djNqeQ7BHLceB0ft4QW8Wt5AKSG0Ew23ns3ucI7HM1YfewM//10/8CyZbid8mgXTq6LCtPHNftLeG1DHCHSOG6JP6oR0HqpNnbRUt7Be26d3WnB556LURXJQbeS9Ac1dMuhsiODTDkITcNJJhGBAAKwOtqHX5+1DP5l00M4+YVoRRlyFm1BS8cxPlrLH/AhFl15/YSDIpaUBPDIElL9RbjH6SYwkbjOZnW6aiulUChGMrIOpMxfNux4J+3ksAMuiNKT1CnMM0jZEg2NXI+PjniMgJFL1JL0rDqBsAzeu9LHXjzYArpTvRSEo+Qkt7DieDn5ROivTdGpOZSH3ewr8JIsaiE/5CLk8nNsucY96RdoMVxc2RLCyHXYtWrAcU5mYlR22piLF3MmnRlcQUzRdHUQdyBNpjaIKyN5dr1DQhTSUyCwM27QHSBArmcJMeIs9dXSlelDZtLUBGvolBEsaZERGppukjEEQfxYHR/CJo3fKeWTmzYN98MeCooorb70Uc62Yl6Zi6WsDyItZdx31RqaI3eMivCuOHOMvW3HWVu+bNQ496FUlNUrrmA15xbkfCSUZtdrO0lox7FKT6OZETyWw+JQG+3FDnkRQX9Ao7XGz/pjST73eCetK8sw7VLaf+vz+LQkNYXn5gC21+WzN3KEfY2NJGPdlHor6E51kQBqS+voTfbQvqyW+srJJ7JNln4zkbjOZjss1VZKobi0uRC9Hq8AeyIHPJFJoGk6mt9LgZXBsl1UBMrpTrWQRCdoBpDhCJ6iXNJCcqgqheHKpSvjUCh9GB+tJGOlyKQb6LAygMPhRXHezdUoiERpWAVSSmynkL4CKIj40B2Qogdb+Ejn5+PGQdMr6JZhilyFONiItIVXc+FYPSC9aGYGx5H4vOXE0410E8HnzQGvpF8MtFEdKm4c2sfanFqsNRP3w1ZafXmgnG3FvDFfS1ljRX7jouWjnOwhxivCHEk98Nc1NRw/cBJvz0GcFR5qPBXYFafYwxtEnAxur58rb/xtck71EXEnOBlq5dnuKuj3YWoB/ueto/exo9TNP7zzt3TEW7E9Nrh0mqxDBFKb8blco7qFTHWjmyz9ZjJxna3q9LnuO65QKBaOudDrmTjgSSeE1/ABkrSdQdN0LK8XR9oYwodbdyGtPrw5RUQzESQ6V7graeo/jWFLgjnlhJ0evJXlRO0EMpMmoHnpHfE9K5UmkirBcnoQQGUwH5mI4vEGSdtpElqapCPQpIFtOzi2iZAgtPSoXOuW3vhwQGd92bn3msn6YSutvjxQzrZi3rgYl7JqiwPUbr4auPqDb668kT+ObBoVPW+uaeL/7vkWff4EEfk+pfZthJJxdja7gaXsbD6B4emmP9VLeziMowECDE3D55N84qoyNlT9yagcvgu50c2XuKq2UgrFpcl86fVkDvjQALIJo+FCI22nhp3ypBOiIJgHSCzHQUsMpHL4XAPR57Hfi5LBsWOYwoNl24SSCaQURNMJPLqXdNsNWKTx4uLWqwrI0SuoKfCRMTpH1cZ8/6UWMk4hOw/0UfrAzI6T0urLA+VsK+aNS2kpa+wNojHciOVYlPiL6I2dpd14DhFw82L7Tn55uIaUeRwhdIIeHSk1EAASiaTAF2BD1RWjPvPVs+0XfKNT4qpQKM6XhdTrsfo6VTR8pFM+noM+0fdaeuN8Z+vbkC7ClpJMpAtTmCR0m/V1V/J2yqFyUINrvXVsXlk2aMEH0evZeChRWn3po5xtxbxxqS1ljUrzyKnF0IzByIqBZZsUevNpjJzE8vQgtAxauhwhJL7kehzHASPBXSuXcMeSG865mVxKDyYKheLiI5v1eqKBXJM56I1dUVL9JlUlAWrLhgoUofSeSho6o3SFkzy/v3XYac41yjC19ik1WGm1Yjos6Lh2IcT/Bj4KpIEG4PNSyv5x3ncX8E+ADvxASvn3U322GvurmEvGy2c0PH2j2l71xPvoT/Uj04U4RheaE6A6r4jfWfoHRKO5U97AJsvZVj1TL32ycVz7XGo2KN1WzA3TyT9/+3gnj7xwDEMT+NwG//OBVQDT0tmp9Fjp9eVBNo9rfwX4MymlJYT4B+DPgP/fyDcIIXTgX4A7gGZgpxDiaSnl4Xm3VqEYZLylw80rP4i22KkcHnnzRaR7LyDJM0u5tXrzuFHsiZhsBLHqmapYIJRmKy46pkr1aOyK8ujWU+g6ZGzJQ5vqhn8+HW2dLA1E6bUCQFvIjUspX5ZSWoNf7gCqxnnbtcBJKeUpKWUaeAz42HzZqFCMx1RLh9FoLmZsA9XWb+KN3cBHq36fz1/9G9N2tCdj5I3DchwaOqMX/JkKxXRQmq24GJlKr4c0tTLfj9+tk8w4s7ZtpdcKWPjI9kgeAn4xzvcrgaYRXzcDG8f7ACHEl4EvA9TU1My2fQrFMFPlMw6JezgcxKetZEPV0lnbtsoRVGQJF6zZoHRbMfdMV6/nQlOVXitgHnK2hRBbgLJxfvQNKeVTg+/5BrAe+LgcY5AQ4pPAXVLKLw5+/Rlgo5TyK5NtV+X+XX5kW97cXG5P5QBe+ixUzvZCaTYo3b6cUHqtuNRY0JxtKeXtk/1cCPE54F5g81jRHqQFGLn2XjX4PYVimKny4hYib24u2zmpVlGKuUJptmKuUXqtuNxY0JztwYr1rwP3SSnjE7xtJ7BUCLFYCOECPg08PV82Ki4OpsqLU3lzCsWFozRbMRsovVZcbiyosw38MxAEXhFC7BNC/F8AIUSFEOJ5gMFinK8ALwFHgMellIcWymBFdjJVXtxC5M01dkV59VA7jV3qRqG4ZFCarbhglF4rLjcWtM/2XKJy/y4/sikHULV7Ulwo2dhne65Run35oPRacamRzX22FYpZY6q8uPnMm5uNEb4KhUJxqaL0WnE5sdBpJArFJYlq96RQKBQXB0qvFXONimwrFHPAVH1dFQqFQpEdKL1WzDXK2VYo5gjV7kmhUCguDpReK+YSlUaiUCgUCoVCoVDMEcrZVigUCoVCoVAo5gjlbCsUCoVCoVAoFHOEcrYVCoVCoVAoFIo5QjnbCoVCoVAoFArFHKGcbYVCoVAoFAqFYo5QzrZCoVAoFAqFQjFHKGdboVAoFAqFQqGYI4SUcqFtmBOEEF3AmSneVgR0z4M50yFbbFF2nEu22KLsOJdssWUu7FgkpSye5c/Mai4y3VZ2jEbZMRplx2guBzsm1OxL1tmeDkKIXVLK9QttB2SPLcqOc8kWW5Qd55IttmSLHZcD2XKslR3KDmWHsmO6qDQShUKhUCgUCoVijlDOtkKhUCgUCoVCMUdc7s729xfagBFkiy3KjnPJFluUHeeSLbZkix2XA9lyrJUdo1F2jEbZMZrL2o7LOmdboVAoFAqFQqGYSy73yLZCoVAoFAqFQjFnKGdboVAoFAqFQqGYIy4rZ1sI8b+FEEeFEAeEEE8KIfImeN9dQohjQoiTQog/nSNbHhRCHBJCOEKICdvQCCEahRAHhRD7hBC7FtCOOT0mQogCIcQrQogTg//mT/A+e/BY7BNCPD2L2590/4QQbiHELwZ//q4Qona2tn0etnxOCNE14jh8cY7seFQI0SmEeH+CnwshxLcH7TwghLhmgezYJIQIjTge/2uO7KgWQrwuhDg8eM18dZz3zMsxuZzIBt3OFr2eoS2XrGZni14rrZ6xHXOu1Vmr01LKy+Y/4MOAMfj6H4B/GOc9OtAA1AEuYD9w5RzYsgJYDmwF1k/yvkagaA6PyZR2zMcxAf4f4E8HX//peH+bwZ9F5+AYTLl/wB8A/3fw9aeBX8zR32M6tnwO+Oe5OidGbOcW4Brg/Ql+fg/wAiCA64B3F8iOTcCz83A8yoFrBl8HgePj/G3m5ZhcTv9lg25ni15P15ZLWbOzRa+VVp+XHXOu1dmq05dVZFtK+bKU0hr8cgdQNc7brgVOSilPSSnTwGPAx+bAliNSymOz/blzZMd8HJOPAT8efP1j4P5Z/vzJmM7+jbTvl8BmIYRYIFvmBSnlm0DvJG/5GPDvcoAdQJ4QonwB7JgXpJRtUso9g68jwBGgcszb5uWYXE5kg25ni16D0myyR6+VVs/cjjknW3X6snK2x/AQA082Y6kEmkZ83cy5f6j5RAIvCyF2CyG+vEA2zMcxKZVStg2+bgdKJ3ifRwixSwixQwhx/yxtezr7N/yewRt/CCicpe3P1BaATwwuf/1SCFE9B3ZMh2y6Vq4XQuwXQrwghFg51xsbXJZeC7w75kfZdEwuRbJdt7NBr+HS1uxs0Wul1efHvGl1Num0MZcfvhAIIbYAZeP86BtSyqcG3/MNwAJ+ttC2TIObpJQtQogS4BUhxNHBp8f5tuOCmcyOkV9IKaUQYqKelIsGj0cd8JoQ4qCUsmG2bc1yngH+Q0qZEkL8HgMRnNsW2KaFZA8D50VUCHEP8Gtg6VxtTAgRAH4FPCylDM/Vdi4nskG3s0WvZ9GWC0Zp9gWjtHo086bV2abTl5yzLaW8fbKfCyE+B9wLbJaDyTtjaAFGPn1WDX5v1m2Z5me0DP7bKYR4koGlqxmJ9yzYMSvHZDI7hBAdQohyKWXb4HJO5wSfMXQ8TgkhtjLw1Hqhwj2d/Rt6T7MQwgBygZ4L3O552SKlHLndHzCQO7kQzNq1ciGMFFIp5fNCiO8KIYqklN2zvS0hhMmAgP9MSvmf47wlK47JxUY26Ha26PUs2XIpa3a26LXS6hkyX1qdjTp9WaWRCCHuAr4O3CeljE/wtp3AUiHEYiGEi4HiilnrejEThBB+IURw6DUDhULjVvnOMfNxTJ4Gfnfw9e8C50RvhBD5Qgj34Osi4Ebg8Cxsezr7N9K+TwKvTXDTn3NbxuSW3cdATtpC8DTw2cHK7uuA0Ihl5XlDCFE2lI8phLiWAV2b9QehwW38EDgipfzHCd6WFcfkUuJi0e0s0mu4tDU7W/RaafUMmQ+tzlqdlnNcgZlN/wEnGcjT2Tf431C1cgXw/Ij33cNABWsDA8t2c2HLAwzkCaWADuClsbYwUOW8f/C/Q3Nhy3TsmI9jwkA+3avACWALUDD4/fXADwZf3wAcHDweB4EvzOL2z9k/4K8YuMEDeIAnBs+h94C6OTxPp7Ll7wbPh/3A68AVc2THfwBtQGbwHPkC8F+A/zL4cwH8y6CdB5mkS8Mc2/GVEcdjB3DDHNlxEwM5uQdGaMg9C3FMLqf/yALdno5OMg96PV1b5vp4DH7+gmn2NDRyXvR6GnYorZ5nrSZLdVqNa1coFAqFQqFQKOaIyyqNRKFQKBQKhUKhmE+Us61QKBQKhUKhUMwRytlWKBQKhUKhUCjmCOVsKxQKhUKhUCgUc4RythUKhUKhUCgUijlCOdsKhUKhUCgUCsUcoZxthUKhUCgUCoVijlDOtkIxDYQQrwsh7hh8/TdCiO8stE0KhUKhmBil24pswVhoAxSKi4RvAn8lhCgB1jIwelehUCgU2YvSbUVWoCZIKhTTRAjxBhAANkkpI0IIP/BdIA1slVL+bEENVCgUCsUolG4rsgGVRqJQTAMhxFVAOZCWUkYGv/1x4JdSyi+hIiYKhUKRVSjdVmQLytlWKKZACFEO/Az4GBAVQtw1+KMqoGnwtb0QtikUCoXiXJRuK7IJ5WwrFJMghPAB/wn8NynlEeCvGcgDBGhmQLhBXUsKhUKRFSjdVmQbKmdboThPBnP//hlIAm+p3D+FQqHIbpRuKxYC5WwrFAqFQqFQKBRzhFpCUSgUCoVCoVAo5gjlbCsUCoVCoVAoFHOEcrYVCoVCoVAoFIo5QjnbCoVCoVAoFArFHKGcbYVCoVAoFAqFYo5QzrZCoVAoFAqFQjFHKGdboVAoFAqFQqGYI5SzrVAoFAqFQqFQzBH/H6SL4wyzYAyqAAAAAElFTkSuQmCC", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "fig = plt.figure(figsize=[12, 5])\n", + "fig.suptitle(\"Training Data Coordinates\")\n", + "plt.subplot(1, 2, 1)\n", + "ax = plot_sho(x_train, x_train_noisy, diffs[2][1].smoothed_x_)\n", + "ax.set_title(\"Savitzky-Golay filtered for Smoothed FD method\")\n", + "plt.subplot(1, 2, 2)\n", + "ax = plot_sho(x_train, x_train_noisy, diffs[8][1].smoothed_x_)\n", + "ax.set_title(\"Kalman smoothed\")" + ] + }, + { + "cell_type": "markdown", + "id": "b25b489f", "metadata": {}, "source": [ "### Lorenz system\n", @@ -486,55 +471,42 @@ }, { "cell_type": "code", - "execution_count": 12, - "id": "93419e96", + "execution_count": 13, + "id": "8836dd56", "metadata": { - "execution": { - "iopub.execute_input": "2022-07-06T23:09:41.039987Z", - "iopub.status.busy": "2022-07-06T23:09:41.039750Z", - "iopub.status.idle": "2022-07-06T23:09:41.044014Z", - "shell.execute_reply": "2022-07-06T23:09:41.043178Z" - } + "lines_to_next_cell": 2 }, "outputs": [], "source": [ + "\n", + "\n", "noise_level = 0.5" ] }, { "cell_type": "code", - "execution_count": 13, - "id": "cf5f3b32", + "execution_count": 14, + "id": "83cdbcfc", "metadata": { - "execution": { - "iopub.execute_input": "2022-07-06T23:09:41.048536Z", - "iopub.status.busy": "2022-07-06T23:09:41.048231Z", - "iopub.status.idle": "2022-07-06T23:09:41.244831Z", - "shell.execute_reply": "2022-07-06T23:09:41.243652Z" - } + "lines_to_next_cell": 2 }, "outputs": [], "source": [ + "\n", + "\n", "# Generate measurement data\n", "dt, t_train, x_train, x_train_noisy = gen_data_lorenz(noise_level, integrator_keywords)" ] }, { "cell_type": "code", - "execution_count": 14, - "id": "1996edb0", - "metadata": { - "execution": { - "iopub.execute_input": "2022-07-06T23:09:41.248445Z", - "iopub.status.busy": "2022-07-06T23:09:41.248209Z", - "iopub.status.idle": "2022-07-06T23:09:41.442458Z", - "shell.execute_reply": "2022-07-06T23:09:41.441152Z" - } - }, + "execution_count": 15, + "id": "caca39a4", + "metadata": {}, "outputs": [ { "data": { - "image/png": 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\n", 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tV/TLiWwmk5nR3mOJrIXF5sQSVYsNYzFWg4ZhMDg4SCKR4B3veAcul2tFay61T3U+bDYbVVVVVFVVAdMiG41GCYfD9Pb2IggCDocDQRDQNG1FImu+N5bIWlhsbixRtdgQdF2f0fpSTgiy2SxtbW14PB4qKytXLKiwuqJais1mo7q6murqamDatH9wcJBQKMSbb76JJEmFdLLf719Wa81iRBamXXUcDoclshYW64wlqhbrSvHcU5jbzGFiYoLOzk727t2Ly+Wivb19vQ91xciyTCAQwDAMduzYQT6fJxKJMDY2RkdHB7IsF0TW5/Otmsj29fXhcrmoqakBKBhRWGPuLCzWHktULdaN4t7T+awGOzo6SKVSnDp1CrvdTiaTWbXoci0j1YWw2+3U1dUV9oRzuRyRSISRkRESiQQOh6MgsuV8ixdDcQuPJEmFixhVVQu3WwPbLSzWDktULdaFxcw9LbYa3LNnT+E+qymEGymqpTgcDurr66mvrwemjSKi0SiDg4Mkk0mcTmdBZD0ez6LFr/j1lSt8Kh1KYImshcXqYYmqxZpSnO6db+5pqdVgMcs1wd8sLPbYXS4XLpeLhoYGDMMgk8kQiUTo7+8nmUzidrsLImsOB1gq5US2dGC7JbIWFsvHElWLNWMxc09VVeXatWvouj7DarCYmzlSXa4gCYKA2+3G7XbT1NSEYRiF4QA9PT2k02m8Xm9hAs9yhwOUmyVbTmSLhwNYImthMTeWqFqsCQv1nsLbVoOtra00NTXNebIuZ1O4XDZT+ncpCIKAx+PB4/HQ3NyMYRikUikikQhdXV0zhgOYgrjcdcqJbD6fL/wdzaIn07fYElkLi7exRNViVVls7+lSrQZvRiFcS8wh7F6vl5aWlsJwgGg0SigUYmpqiqmpqRUNBzDXKRXZfD5fGA4giiKyLBciWUtkLW53LFG1WDUW03uaz+e5cuUKDodj0VaDVqS6MMXDAVRVxefzYbfbZw0HMNPFyxkOYK5TbmD75OQkmUyGxsZGa5asxW2NJaoWK2axvafmCX6xVoOla6wGGyGqGyHigiDMGg4Qj8eJRCIMDw+v2nAAmHZ00nW9EL3m8/nCUHlrYLvF7YYlqhYrojTdW05MDcOgp6eHqakpjh8/vmRnpJs5utwsqVBRFAuexMXDAaLR6KoMByjeOy8XyVoia3G7YImqxbJZitVgRUUFp06dWrZr0FKIxWIkk0mCweCsNOfNLNCLZTHDBBYaDgAUUsWLGQ5Qbs3iSNa8j7knWyyyxb7Flsha3OxYomqxZAzDIJvNomlaoZexHJOTk3R0dLB3796C6fxaH5cZEQcCAUZGRmalOc37WcxkMcMBzPcwEAiUFdmFhLxcj6xhGORyuVmFT8XVxRYWNxOWqFosCTPS6OzspLKyktra2ln3KbYaPHny5LIrT5dCPp/n0qVL+Hw+jh8/jqZpiKI4awZqNpslm80W9hyXMznmdqDccIBoNMrU1BTd3d2zhgMs50JlMSJrTeCxuNmwRNVi0RRbDc4VnabTaS5dukRdXd0Mq8G1JBwOc+3aNXbv3k1NTQ2apqFpGjA7zdnV1YUoinOKw1qkH2+FyFiWZWpqagom/eZwgPHxcTo6OjAMA4fDQUVFxYqHA5hYA9stbkYsUbVYkHK9p6Ioouv6jPuNjo7S29tb1mpwrY6rp6eHUCjEiRMncDqdwPxpSFEU8fv9hQisdHLMapjaF7MRJ/21GNBeSulwgIGBARKJxKzhAKbIrpalYqnIZjIZAoEAdrvdElmLTYElqhbzMpfVYLGoqqrK9evXUVV1TqvB1SaXy3Hp0iUCgQAnT55cdGRUWqhUKg6mqf3AwMCq+e3eDsiyjN/vp6WlBXj7fRwaGlrRcIBiyolse3s7Bw8eLBQ+WZGsxUZjiarFnJROMyk+QZnilEgkaGtrW9BqcDUJhUJcv36dPXv2FCLOxbJQ9W+pqX05v93KykqCwWAhMraYHR2v13AAoCCg5Qa2WyJrsd5Yomoxi8X0ngqCwNTUFAMDA4u2GlyN4+ru7iYSicxI964V5fx2k8kkkUiE9vZ2crkcfr+/IA7LdSm6FZgv5byWwwGK9/fLDWwvFdniCTyWyFqsBZaoWsxgMb2niqIwPDyMJEmLthpcjeM6d+4cFRUVnDx5ckXTX5ZbOCQIAj6fD5/PR2tr67wuRZWVlYWWkFuhUGk1WcpwgIqKinnNQuZ7b8uJbPHAdqBgRGGNubNYLSxRtQBmWw3OtUdpWg2aabv1ENSpqSnS6TT79u1bcb/raorcXC5FZpoTwO12oygKmqatW/vOehQqlVtzuZXT5YYDmBmBjo4OcrkcPp9vzuEAi32t5fZki0XWdIOyRNZiJViialEY76Vp2qKtBiORSKGXcK3QdZ3u7m6i0Shut3vVDCTWKnIs51I0PDzM2NgYb7755rq072wUqynk5TICiUSi7HCA0gr0pa6zkMhaA9stloolqrc5xb2nC1kNBgKBgtVgLBZb0QltIbLZLJcuXSIYDHLy5Elee+21VXne9Twp2mw2KioqyGaz7NmzZ83bdzaatTp+URTnHA6QzWY5e/bsiocDQHmRLS3Ws0TWYiEsUb1NWczcU3jbarC00nYt9wrX0t5wI/c4y7XvmE5PN3v7znq+p8VpdzNzYorsagwHMCknsoqioCgKvb29bN++fdZwgJvpb2axNliiehsyV+9pMbqu09nZSSKRKGs1WM78YaXouk5XVxfxeLzsmktJMW6Wk9t8Im62nTQ2Ns5ZERsMBqmsrFxSpfNG7alu1HtenFYH0DSNaDRa2Ns2DGNJwwHmongCTyQSQRCEgsiat5cOB9gsn0OL9cMS1dsMsxhpvnRvsdXgiRMn5mypWc3oxEz3VlVVlV1zNffrNmM17nztO9evXyefz2/q9p2NFNVSJElacDiAKbIr8X8uFll4+2J1vuEAm+U9slg7LFG9TVhsund0dJSenh4OHDhQmOpSDkEQVi1SNdO9+/btKxT5lFtvNU7cq3nca8li23eCweCKUpy3A0sdDrCSKua5RNb8zhWniy2RvTWxvom3AYvpPdU0jWvXrhWsBhcq9hBFccURn5liTiaTnDp1at7oyxTDW6lidinM177T19c3I/q63dK/S6XccIBoNMr4+DidnZ3YbLaCyC53OADMFFlrYPvtgyWqtzClvadzCappNdjS0kJzc/OiTo4r3VPNZDJcunSJmpoajh8/vuCaSz1hz3WS34j071qsV9q+Uxx9TUxMEI/Hqa6uJhgMrkgYFsvNJKql2O12amtrC2MMc7kckUhkxnAA84JlJcMBAEtkbwMsUb1FWWzv6eDgIMPDwxw6dAifz7fo51+JOE1MTNDZ2cn+/fsLxSWLWW8pIj7fiW89RXW9hKY4+jIMg6qqKjRNY3R0lPb29luufWctcTgc1NfXU19fD0zv90cikRnDAfL5PMlkckXDAWCmyJrp4mKRLS18stj8WKJ6C7KY3lNFUbh8+TJ2u31ZVoPLSf8WDy9fKN1bylJEfL6T3O0iJrIsU11dvW7tOxuVcl4PnE4nDQ0NM4YDXLhwYdWHA5S275QObLdE9ubAEtVbiOJ073zFSNFolCtXrrBjx47C1fhSWWrkmE6naWtro7a2dlnDy1crbbtZq39Xm9L3d6H2nWIbwOUMKrhd9nEFQcDpdOJwODhw4MCM97K3t5dUKoXH4ym8l0sZDlC6TjmRvXbtWuG5TUtFSZIK1cUWG48lqrcIi+k9NQyD3t5eJicnOXbsGG63e9nrLUWcxsfH6erqWrCieLXWGx0dZWRkpLAPVpzuvF1EdT7mat8Jh8Mrat+5HUQVKHzHYPHDAYon8CwH8zttGEbBzal0YLs15m5zYInqLYCu6/T09FBfXz/nFWsul6OtrQ2fz1ewGlwJiylU0nWd9vZ2MpnMktO9pSxGDDVN4/r16yiKwvbt24nH44V0pxk9bISgbvbCqOL2nS1btpRt3yk2TyjXvrNR7+tGCMd8wwMEYWXDARbCrIAvF8laIrs5sET1Jqa493R8fJza2tqyX5ypqSna29uXNdR7LhYSVdNAor6+nr17965Kf+l8J+50Os3FixdpbGykpaUFRVHwer2FdKcZPYyNjZHL5chms+tipHAznsjmat8Jh8Oz2ndM84TbJf0LLKm1q1y/sTkc4Nq1a0vOCsy1tiWymwdLVG9SSntPy4ncQlaDK2E+kRsbG6O7u3tF6d6lrGemlw8ePEggEJh1v+LoweVyEYvFqK6uJhwOz4jEgsEggUDAMlIoYb72HdM8Qdd1PB7Puk7f2Qzp36VSPBzAfC4zKzAyMoKqqoUJPJWVlbP6xRcr6HOJbPHAdktk1wbr7HGTMVfvaamomoVBNTU1c1oNroRy1b+6rnP9+nVyudyiDCSWQjlRXW41sSAIhRObGYkV29iJonhTj2hba7EpZ55w5coVQqEQw8PD69a+s5IZrptl3eKsAExvYZgiOzQ0hK7rM4YD6Lq+LFvF4vOE+RpKRbZ4Ao8lssvHEtWbiFKrweIPfbGorkWkWEpp9a+Z7m1oaGDfvn2r/oUsFVXTPGKp1cTlxLnUK7bciDbT2H65fYm3Mna7vVBZ7Pf752zfCQaDy66GLcdKIsaVrrtWYj7XcIBoNFpo4env76eqqmpFWZVyIlvcOQAUjCisMXdLwxLVm4SFrAZFUSz0ni7WanAlFIvT2NhYwS/YTGut5XqL8Qqej4WKauYa0dbX10cqlcLr9RZEYjHtJ7dDtXFxdDxX+053d/eqtO+UW3M9Wc91Sy/4zp07R0VFxZoMBygnsqqqFiLzbDZbKFSzRHZuLFHd5Cy291RVVa5cucLWrVsXbTW4EkyRu3LlCoqicOrUqTUXcXOPOBqNLnuPeDnvS6lImNWc7e3t5HK5Qnqu3B7Y7X7iKddyYhbqrHT6zs1QqLTaGIZBTU1NwVJxruEAFRUVBAKBFfkWl+7JXr58mRMnThRutwa2l8cS1U3MYntPh4aGCIfD7Nq1i5aWlnU5tlQqRTqdpqWlhZaWljX/Qum6zrVr16itreXkyZPLXm+lfarlqjnj8TjhcJjBwcFZszs3gs1ciSsIAn6/H7/fv+z2naWuudps9GCH4tc813CAiYkJurq6VnU4gCDMHBCgquqM2g5LZKexRHWTslirwStXrmCz2WhsbFxRKm0pjIyM0NfXh9PppLW1dc3XC4fDTExMsH37drZt27bm6y2F0kKT4tmdPT09CIJQaElZD2P7jWK5AleufcccMD5X+85K11wpm3l4wELDAex2+wyRXcnFaWkkWzqwvXQ4wGZ9z1YbS1Q3GYude2paDW7fvp2Ghga6urrWfE5o6Xi4M2fOrOl6hmHQ09NDKBSirq4Ov9+/4udca0el0tmd0WiUrq6uwknN6XQW9mNXw3N3M7Ear6V0D7E0vVkced2ukepSWMxwADMrsJJK7eIoFsqLbKlv8a302S/GEtVNxEqsBlc6im0hkskkbW1tNDc3r8uebT6fp62tDa/Xy8mTJ+ns7LwpvX9lWcbpdLJv376CGftqeu5uFtbqPS1NbxZHXtFoFMMwGBgYWNfpO5s5Ul2I0uEApsguNGhhqZXW5US2eGB7sciaLnA363taiiWqm4TS/YmlWg2upaia6d6DBw+uSrS4EGYUvmvXrkIaa73FcLUo/jsKgoDb7cbtdtPU1FTWczcQCBAMBqmoqFh24ddm3lNdKcWRl9n2ZLPZZoiC2f60mu07xdxMkep8CIJQtlI7Go3OGg6w0n7txYqsmS6+mUXWEtUNZr7e02JMq8Hdu3cXrtqLWQtR1TSNq1evous6p0+fXnOnIcMw6O/vZ2xsbJbh/2qJ6mYS5+KiJ7Nox7QDHBgYwDCMQtSwknaJ9WIjhFyWZRobG9e8faeYW0VUSymu1DYv+kx7z+7ubhKJBFeuXJkxgWcla801sD0SifC5z32OL37xi6vyutYbS1Q3kIV6T837dHZ2Eo/H520jEUURTdNW7djMdG9LSwtNTU1rfsI0e2wdDgenT5+eddK6FUW1lGInJ5jOXkQikVn7icFgcEVFJmvBZjDUX0z7TrE70XI9n29Ge8TlIAhv23tWVVXR3d1Na2vrqg0HKF4H3h7YnkgkGB8fX7XXsd5YoroBlFoNznXVW2w1uFAbiWn+sBoMDw/T39/PoUOH8Pl8q/Kc8xGPx7l8+TLbtm2joaGh7H02sxiuFTabrex+4tDQEIlEYtUHja+EzZhynq99Z2hoaEntO8VsVKS6UbaMQMEesbSdzOzZXs5wgLlIpVIrGku50Viius6YVXGaps2b7jWtBvfv31+IXOZjNdK/qqpy9epVgEWne1dyMjV7bIeGhjhy5Agej2fO+96skepqrle8n1g6aDyTyeD1egkGg6uasVgsm1FUS1lJ+04xy/XfXSmapm2YqGqaNus1i6I450WLORygWGQXWyNgupbdrFiiuo4spvfUnAmaz+eXZDW4UlFNJBK0tbXR2tpKc3PzktZczgnGFHBBEDh9+vSCz3GziupaMVeqMxwOE4vFuHz5cuFkVllZeUtO3lmpkC+lfae4x3ijIsaN3MtdzPd8oeEAi80MWKJqsSCL7T019zGbmpqW7FK0XFE1DIPh4WEGBwc5fPjwkj7MyxWoZDLJpUuXliTgt4oYrhXFqc5kMsnWrVsLRR/9/f2FKMwcb7faJ+eNiFRXW2Tma99JJBKF6TuZTGZFRTrLZSNFdTlRcrnhALFYrPCZLHYfKx4OYFYdr+RYT548SVNTE08++SSf+MQn+MpXvtILxG7c5ROGYby17AUWwBLVNWYpVoODg4PL3sdcjqiafsGiKC4qWlyNNc32nKW+zqWK6lwn+NtFnEVRLDsD1bSvk2W5UPS0Gv2dN0P6d6mUGieYPcamY9bExMSMStj1sOrcTOnfpVI6l9d0H4tEIvT29nLu3DmuX79OMBhcUeven//5n7Nv3z7i8Xjxr3/XMIxvregFLBJLVNcQsxhpsVaDK2lbWarAmeneLVu20NTUtOw1FytQpW5MS32dSxFDwzCIx+O43e5Z62yEqG4GES+Nwso1/a+0v/NWE9VSzJ7OdDpdaNGJRCJ0dXWRzWYL04vWyshjo9O/q712qfvYtm3b+PGPf8y3v/1tOjo6ePbZZ3nggQd48MEHufPOOxdVXTw0NMT3v/99/uAP/oA/+7M/W9XjXSyWqK4By7UaXAmLFdXi4qClpntLEQRhUWum02kuXry4rLS2yWJfn6qqtLW1oWka+Xy+0KZitqGsN5vVm7bUWSedThMOhwsCYbZKBIPBRVVxboaWmvXC3F9cj/ad0nVv5kh1IaqqqvjIRz7C1NQUTzzxBI8++igvvvgi3/zmNxkdHeXxxx9f8Dl+8zd/kz/90z8lkUiU3vTfBEH4r8CzwP9hGEZuDV4CYInqqqPrOqFQqJBSmyvd29fXx/j4+CyTg+WyGNEx072SJC0r3VvKYqI+s4r54MGDK561utBaZvS9devWwtWvua9YbCiey+VIp9PrkrK7GSguemppaUHX9YJAXL58eVEFJhuV/t2o1pbS1zpX+044HF5R+04xGx2prlexm9lSU1NTw2OPPcZjjz22qMc9+eST1NbWcuLECV544YXC7z/72c/yla98ZS9gB/4a+H3gj9fg0AFLVFeN4t7TtrY27rrrrgWtBsuZHCyXhUTV7AXdunUrjY2Na76mruu0t7eTyWRWZWC6KIqoqjrn7eZe7eHDh/F4POTzeQRBmDFw3DAMYrEY7e3tMyIyM+25GtHErYAoigQCAQKBAFu3bi3bemJGscX2dbd6+tdkMeJWrhK2XPuO+R4u5gJ3o1p5YH0iVZNkMrmsrNKrr77Kv/3bv/GDH/yAbDZLPB7niSee4Gtf+xrG9BV5ThCELwO/s+oHXYQlqqtAud7Tcl/2UCjE9evX57QaXAlzCZxhGAwODjI8PLxgL+hCJDIKsYxCwCXjc8lzRqqZTIZLly7hqaiiZksrWRVWOr98rrXMOauKohT2aueKaE2vU6fTyeHDhwsRWTgcZnh4GF3XZ1TIbnZbwPWiXOtJJBJhfHycjo4OHA4HuVyOZDK5bqb2sLlFtZS52ncmJycXPff0Vk//mqTT6WVtS332s5/ls5/9LAAvvPACn//85/na177G6OgoDQ0NCNMflvcDl1f1gEuwRHWFLKb3VNd1urq6iMVinDhxYk2KGMqJqlkEJcvyitO9iYzC89cm0Q0DURB4cF9N2TUnJyfp6OigdcduLowo6Mlo4f4+lzxLmBdLOVHNZDJcvHiRhoYGWltbF3WCLX6e4ohs27ZthWrE4j5Fs1pxuWKxUYVRayk2sizPmNmZyWS4cOFCoejJ4/HMKHpaKzbS2Wil7+9i23eCwSAejwdBEDbU/GE9o+SVttSU8tGPfpTnn3++DRCAt4BPr9qTl8ES1WVSnO4tV4xkfvHMqK26unpBq8GVUCpwsViMK1euzGv9txRiGQXdMKjxO5iM54hllBnVv+aFQzwe59SpU0wkVXQjMuP+wCxhXqywloqTKd7zOU7Ntfc1l8iVViPmcjnC4TCDg4MkEol1E4ubDZfLhSzLHDhwYIYJu+kPuxrWdeW4mSLVhZirfae/v79woWJOOdqI172egp5KpVZcVPjAAw/wwAMPAPDcc88BHFrxgS0SS1SXwUK9p5IkoWlaIeJZrNXgSjBF1ZwvOTIyMiPdO1+EuJjoMeCSEQWByXiOvKqTyqmkFQNd18lms1y6dIlgMMiJEyemJ1AIGrFMnlxew+WwEXDJBWH2OmwMhtMMRzLsXaKoGoZBd3c3kUhkzgED5t9kpRGiw+GYUSFbKhZmdedSLNhudYpN2M2iJ9NVx0yxF4+3W0n0s1Giuh4FUuVGsvX09DA5Ocnk5GShfScYDC7byH4prHekajkq3UYsJt0rCMKMnsz1OOGa7S1vvfVWYdJLYepDSer21LZKNMMgcEPQykWPhq5jTE2hhyMYsSj2SJR3hGMMh9JcTku8palkE3H8+VHEWIjtPh9Or5eU3U7S7uZVsQbBJpOQndzRKOPIVOLxBshF4GJcRxBFPIM2mipdi4pWBUFAVVXOnz+P3++fEfUvJaW8XLEtJxamO8zg4CDAmjoW3ayU+u2qqloYb9fT01Nw3TFbnpbyvt1O02I8Hg9+v7+Qdjers00j+9Vu3ynlZotUNxJLVBfJUqwG4/E4VVVVbN++fd2+fPF4nFQqxY4dOwopJJPi1O1gKM1TV8YIuOyIgsDuei+aolCVizM5HGL8wouI431oQ0MY+fz0axLtxEUHfj2HQ3SguhuRDY10ViEcnWCPS0BMJNBu9IZFbD4Ul0KDlmFKcpG5PE5GTSACO+QgYU8DzU6BTGUNE30elOZ6EsFaKrc04neXv+pOp9OMjIxw8ODBwl4elN/rXUhYV2OPs3RMW7FjUWdnZ2FPzOv1bkgP52ZtFbLZbDMKdsyWp9HRUdrb23E4HIUUu5nynItbKf27lHXLte+YF3hDQ0OFbMBK2ndKWc9CpWw2uy7R91phieoiWMzcU9NDd2BggEAgQH19/bp84YsHe7vd7lmCCjNTtzlFx2ETCCZCjHcPkhnvIR/KMqzriIArNYCq5wuPTYp2XvG0ogMisCs7RY89SFZREV0692ZHEcX8jPX8eg4RmJJciDd+NmnQkgS1HMkUiKlB1M5RnnY1TD+/bOP+ejuVu7Yh7dyJtH0b2O0MDg4yMDAwozjGpNxe73yiulZ/k9LCE3NPbGhoqLC/bRY9rfUJYzM4OC2W4pYnmH7fwuEwfX19hTSgGcmWFvhtZPp3M4l56QXeXC1QlZWVi27fWezaa8XNnOmxRHUeSueeziWopR66V69eXZfxW2ZPrMvl4vTp07z++utl7+dzyTyws4LQxSvobZc51x9lOJ9HBGpTA9RCIRL1Fgmq6PeTqmlBcNXT4HMwZfcSdQv4xpLsrqsintNQWk/g3dmMIEkYigq5HJ5cjnelssSSOXy5JN7ETvRIBCMSwR8Ocyw2xojkpUFNoCOiA9VahilcRDqGcV29dOMARAYDQaLbdtNy+hiZMl+0gEsmr+p0jCbw3Ni7nY/1qsY198Sqq6u5cuUKra2thMNhrl69iqqqM/YVb8UJMsvF5XLR1NREU1MThmEU5nW2t7fP2se+mat/l8NiX+9qtO8sd+2VcjNdEM6F9W2eg9J071xfIjMKKTZVkCRpxbNNF8K0ONy5c2fhKr+UeDpP+FoX7gtncb51jmA2C8A9RelcU0QDtVWIW/YjNTcjtbYgtrQg+v2QUbh+bZKIoZMIh3FJSbY178Bms6OEQ3hbgkhlqouDN/4rJZFRuHZlDC0WIxKNcTQ/iTycJByJoGRypASZpGjHpWQYjad5y96C1DnBwPUfcCI/QuauO5CPH0Patw/hxhV3VtGIZxQkcXOmPAVBKAx33rJlS2FahxmRlVop3sxX6atJ8ftmDsU2XYoGBwdJp9NomoamaeveV7yR9ohLZaH2HafTWRDZ+VLu672PfLNiiWoZFpvuNa0GS00VRFFcs0jVXLdveJzmbftw+2dv6BuZDKEXX+X5n3SiJuKIwD15HbOezqvn8Qc82A4dw7Z/P9Lu3Yhlngemo9x7dlVy7uIVmmucnDh8J6mcRiyjEPNlcctL+/DHMgqGIFLXWs9kRSXytmM84pIZDqe5eH2E/vAU7YODHOx8DdHmRZJlqrUM4zhIpBTyL71E/qWXEL0+bCdPMLDjCH1T4HHK9E2lGIlm2LNA+nejr4ZLp3WUWik6nc7CvqLb7b4pzO3Xg1KXoitXruDz+QiFQvPOP71VWK1iocW076zn9J1i1rsIbC2wRLWIhXpPTfL5PG1tbXg8nrJWg2sVqYbiac6+dQWP20Xc1cz5wSS5njjvPlhHQ6ULMZEg+0//RP7lV5hUZVRX3XRaVXJNR6bVFcinTiKfOIFYZGyfyCjEwumy1bPxeJzrly9zeOf2wpfQ5xLxuWS0xNzuRXNRvL8rCkJhTa9LRg54UcU8Ids2/E/8NEE0Ol+6TGRoGHFwCJ+WAab3I/VkgvwLL5D5ySWUmsNodVUYwVoWOpyN2oObj1IrRXNfsaenh3Q6Xejz3Mzm9huBuVdotl/MFYEFg8FlX5xsJtYqBVvavmO2jhVP31EUhVwut+b1AJlMZlW80DcSS1RvsJi5p7A4q0GzT3U1GRyb5FsvX6O6ppbxjBMMhXA6Tyyj8uOzfbxn7AL13/suucD0HEK/OF14FHIGkLe20vDQB/Hu2THrdc1VPbsYe8PlzFP1uWQe3FczqwXGIeoMDQwgOdz4q+txyjKBSj/veu+dxDIKQi5J4s2zOJJJlLPniMfTxEUHPj3HrsQo6eQU9V2XqRh5lfA73kG0dTt+rwP/Elyb1oKlnsjNBn+3201zc/MMK0XT3N6MIlba53mzU7q3WRyBmRcnkUikcHFiTt5Zq9Fsa8167GuWto6Z03fC4fCs9p216M9ebTeljcASVRZvNdjd3U00Gl3QanA5YjMXhmHQ29vL1f5xmppbaKr2MRhKM5HIEktk8UyOQu91QokB3LoOBiBM75G+88E7SB84SkXAM6dFYLnqWZcszDvNxnyedF7HuYxPkK8kIg6Hw3Rcu8Y7j23n7HAWpyRxtjfCg05b4b6JhEaopQXn4cPk3/d+zr54lXxvH/T3c0esDx0Rv55Duw5PD6bR7a9g272LBx89hb+6Yvl/gA1mLitFM5I1U57mfuzNHo0thfkKhoovToqLnsLh8IzRbGax2M1g3rERhVnmvrbD4eDo0aNr3r5jiepNzmJ7T5dqNbhakaqZZhbsbnbs3k/bUJzJeA6XLPLO/AivvHkVey6Dy1Dx6zlUAYRtW3G9733YDh/CKwhU3XiuuSLS0nSspOc5c+atOYeXFz9PPJ7ieOPyG83N/eGJiQlOnDjBVFonENbLtscU74WORHNEPBW03HcXicxJ7LlxXGdfJ9rRS1KwoQNVqQhTbW1MvPk8zhMHsD38EOIq2DVuNOWsFM0TnGmlmM1myeVyt/zUnaWITGmxmCkO4XCYgYEBDMMoRF+bdZjCRvfHwuz2HdPMY7Xad8w93ZuZ21ZUF5vuHR8fp6ura0lWg6tRqGSmWxpat3N50kAfSwKwmwSVP/xX3H3dvLeoijfQ2kjPux6g7n3vQy4TRc/Vz1mcjk1Fp+jtuMqhQ4fmdDQpfp5YDOLZt19nIqMwEs1gGCzolKQoCpcvX8bpdHLq1KnpiMxQZu23mpiimsgoXBqMMRhOMxhKs7fRj/PAAc64G1FPJMh0dKP39hJKg2jo+HNp1FdeRX3lVaRDB7G99z3L/ZNsSkpTnul0mkuXLtHd3U0+n8fv9xeKnm6GaGwprKS1pZw4RCKRGcMUNlsGYKNEdT7jh1Izj2ITlOW079zsFoVwm4qqqqoL9p5qmkZ7ezvZbJZTp04t6apfkiTy+fyC9yuXjjUMg56eHqampgrRmz4RocZto/eVc0y2vUEgGwJuVPFW+nB+8HFsp06hXrgwZ5FKuQIhE7ddpL+7B03TCuPT5jq+4ueRJBGP/Hax0w8vjXF9NA4G7G308+jh+rLCag4TLzX7n2u/Fd4W1VhGwW4TuWtXNYOhNEdaA2iGgW4Y1DVUMenxsveRd2Brv4rr1RfxxN/+O2htl9HaLuMM1jDgqKBy9zZ8y8lfL5H1Khwy7eycTicHDhxAkqQZLShmNHarWCmuZr+ozWab1XZiDhhPJBK43e6COGxUIdhG9ccuxU1ppe07Vvr3JmOxvafJZJK2tjYaGxvZt2/fkj/Ii9lTLZeOtYs6bW1t+P3+GdEb0Qhd33uN7pyEavMz5vFwb3aE4E89jOPRn0K4IfjzrTuXYKVSKS5dukRTUxMtJRXBz1+bJJNTyWoad+2sxmWXCBQ9Tz4lomWnI+hYRiGcymMY4JBFUjm1rLvR8PAw/f39HD58uOwVael+q4kpqqaoJ7MqVV4HjRXT02KKLxiaqr0460+j3XMCo7sb9dln0S62gWGQFO1cittxfu1JxPo6HvzpO6nYvX36NWdVRqIZQKCxwrkqgruREU5pC4oZjZlWina7vdDas5Al4GZkLUWmdJhCOp0mEonQ3d1NOp3m6tWrhQzAelrqbWbTiXKUZlKy2WwhVWwKqBnFer3eFUeqmqZx8uRJmpqaePLJJ+nt7eXxxx/nzJkzXcB54GOGYSwc8ayA20ZUl2o1ePDgQfx+/7LWWkz6tzQd2z86RWy0p1BVnMgoRNMZ3Ofe4PS/fpcOyY9hD9CkJgk3bEV97CM4d7XMWnc+MS8VrLGxMbq7uzl48CCBQGDW8WVyKiOxLKFknuvDCY62VuBy2HhwXw3NQTdTeppQeno9SRAYiWQYjWURgaYK14xouNww8XLMZY5viupcFwfFv9NyKV54vY2MJtJYU0HLv//3+N73PrQf/Yj4xU50A6rUNKGxcab+8ou4juwm+8h7eXpco2M0CYLA7noPjxysmyGsiaz69rrrEOEul7nEpjQay2azsywBTaG4Gapj1ytyMzMAHo+H+vp6Ll68SHNz8yyHLDMCu9UcslbL91cQhDnbd772ta/x13/91zQ3N9PY2MjIyEjBTGcp/Pmf/zn79u0jHo8D8Pu///v81m/9Fo8//vhOQRD+Cvgl4AsrfjHzcGv99ctQajU41xVXqdXgSr4Yi+lTNSOuiXiW0NQUFdkcd96oKk5kFJ67NELuJz/BGBjgHk1llxZm3Bkgfuf9OPfuprK5dtZzLrbqWNd12tvbCcXTNO06hGifPRs04JLJatqNdCvk8ir2SAglkWCi8xxSbBzGx3GHwyScTmI5ke1iFTswiIpO9r81jPGNKAm7A83poC+dR6uup7mxBrV/AL2mBrGmGrGmhqTdTTyrIgkCZ3sjZc3xiwuVChXBGYWhov5ar9PG4OAgXf3DhB2NIAhcDWXQ1DGUTALHyZM4Dx4l//QFphIJJMPAr+XQzp1nsq2LxL578bRsA9lO+obBhSmeo9Esz16bwG6TcNsl7t9TvamFdTE4nU4aGxsLJ7ji6lhFUTa9leJGpENNVyPT0H7r1q0FhyzTQKG4WOdWSLOv1di34vadX/u1X+OTn/wkn/vc5+js7OQTn/gEoVCIO++8k09+8pMcO3ZswecbGhri+9//Pn/wB3/An/3Zn2EYBs899xzf+MY3zLt8BfhDLFFdPoZhoCgKmqYt2WpwJSym+tfnkrlrR4AzFy5zsrmCw/sOF7584cExsj/8IcHwWMG4oaWxkkc+/mGSvso5R5wtRlTNSmZPRRUhuZ6pwQSikJwhYEY6jaunh/vH+1B6kujhMEM4ieUiuAwVZ2oARc+DoiBmc+g+Lz7RjsvjQwcqdR1DUUloYE+GmMioXG04gBDR6YqMc0/qbMEeMSnaeaVyB1RWkQwEcQQrqG2qZUiXZ7gjlTohjUYyPHVlDKck4XLYuG9PkIHuDkRRZMfeQ0R6w1R5ZUKiRE1zBc2VroKpQvNduyGeZcvlC8iTCXRZRtJU8gODhCYS2JsaaTq0rRBpJ7Iqz1ydZCCUweeyUR9wzhDcW4G5rBRLqzqDwSB+v3+GUGzUHuNGFO6Um6Va6pBVOrHIbrcX3juv13vTpdnXa+yb3W7H7/fzwQ9+kI997GPkcjlef/31Rdez/OZv/iZ/+qd/SuLGtKxQKFR6QTgEzG5pWGVunbNCCaqqFjbG50v3mhNe5jI4WA7ziZuZ3tSySYZ6Ozl9cE+hPQJAvd6O/IW/AbGmMOWl6q5TeB7/IILdTsUy1wUKX/L9+/eTMhwYyQg1fgcT8SyDnQM4e7txt1/B3d2OoWlUAo/eqDAW0Qu9oKYgCrz9nnr1PPekBhi1ebnirKHTGeRazsvJXAdCsBZBkma4O5nPMWrzElElGkcHyUxMEhGdXH7Liyo7MM5JVB+soeLgHqiuLpy8ExmFpy6P0zs1HaVWuyVefv08R3e30tLSQiKjIIoCU4k8ovh2UZZp1j4yMsKJB+4h8eAdRC9dIvW9H3Eh7caeTdCgaRxtu8rOERfuyg/Crl3EMgpOm4DPZSORUQl6tAWN+4u5GR2OyglFJBJhbGyMjo6OGW5FLtfsTMetymJs9EqLdcx9xIGBgQ23AVwO6z2g3DwPOxwO7r///kU97sknn6S2tpYTJ07wwgsvrOERLswtJ6pmMVIymeT69escP3687P3MHlC3213WanAlzBWpJjIKz12bYHxigmwmw4cfPEJ1xdub8vnXXiP7la/iUVXuETMkHF5qHvtZqu6/a9bzlNt3nEtUdV2nq6uLeDxeqGS2ZRSEVIrRS5dI9/ZzLplENrRpn2BDAlEqtOs0qgkEpxOpsQ6huno6bVtdQ9rhIBYJU3/0KILLjd/pQI/m6OuaJBUeJWfYcR/+FAE9T0dHiHg2jyObplqMIocnGJ6M8VrKyzAuhux+dudC7M5N0m8P4M+l6JsU6f3OeXZ98xsIwSDeigpUr5dodQsOWSTgsjEZTZIIJfnFh/fTXD99ceJzyZzYUsFQOD3d2lMmoiyYKtx7L0MHTuB+9Qq1r7/MYCpNIpUmHhoi/dnPkz15J973vgeXw0aDHyrddh7eV7PoKHWznzAXiyzLhdF75dyK8vk8Y2Nji7ZSXC02Iv271HOF0+mcVfQUDocLNoCm09N8791GXpjdDAPKX331Vf7t3/6NH/zgB2SzWeLxOL/xG79BNBpFVVUzWm0Ghlf7mEu5pUS1uPd0vhSsaTW4a9euWfM5V4O5xG0imqS3r4+mKh+2mlZy+tsf1NxTT5P95jcLP/v9bur/w68ibd064znmG8pdbt1sNsulS5eoqqrixIkToCjkX38d8ZVXOdnRQ1x0kBJlOh3BQiQ5avPS27ATo7oGW00VD53chn9L06wTWC6RQO3tRSqakiMaCQaHh6iuqaXe7ydYG8Tnknm4vr5wIQAwGM3w4vVJQtEMFbqKP5/iqBFGHx/DGTKQNY08EmYwbITCeLp7SPX0ILn92HbdiT1QgUd28cS7jtJc+3ZRWSKjcL4/iqbpjMVz3O+cf/8z4LYjt7YQqXmM0Us9OPquMKk0ThdoXB/DaP87dh9qxXHvvTQ3VGO32xiKZDZtwdJa7zWWuhWpqsr58+fJZrMFK8WKiorCfuxmNFJYLit9b4uLnlpaWgo2lJFIZMZ7V+pQtFE9qrC+A8qXW/372c9+ls9+9rMAvPDCC3z+85/n61//Oj/3cz/Ht771LR5//HGAjwPfXdUDLsPmOyMsE7MYyfzQy7I8S1RNq8FIJLKg1eBKKCfoU1NT9LZfp7amFtntKfSKGoZB/ntPMvXkj4jbfNNGDvXVuH/j1xGrqmY993xDuUtF1bx42Lt3L0Gvl9APnmbqxVcR4rHpVC7QqCZIina6vbVEWvfgaGrCc3QncuLtNZL+SirKnEiK1yv2Cv7Iw0dRsM2IpIuLi56/NkkomaNnMoVdEkkYEg3NTWw7eRqAQ5dGSU2EccZCtERzCNfTGJksBtNX6+5UjIOv/hvb7B58NVWoyijRu09TsWPL2++RblDtsxNK5Bfc//Q5bdy/p5r2sQRIu2i+YzvtL55HHx2jlTBTNhf+829S2XOVznsf4Lziw+Xy4PV6eORIMwH3re1ctBCCIGCz2di6dWuhcKfYSrE4lbxZjBSWy2qLW7ENZfF7V7qX7ff7N+x903V93QrVVrtP9U/+5E94/PHH+fCHP9wFXAC+tGpPPgc3vajOZzVYLDCZTIa2tjaCwSCnTp1a0w9osdiYqddYLMa97zhFXhcLEZvXaSP3nX8l9KNneMXTig7ItbW8+1c+iBgs384zn4mDua5hGHR3dxMOhzm+dy/iqz9h9NmXeFmsJiP46KncwvYbRUf3t3qovedOHt2zn7hK4fk6r02WXaMYs3hIVVWuXr1aqJye76rWvCio9jl4rSuEz2m7YeZQVRDg9xxuIJapviHKD2OoKmp7O0Pf+Vf8kQjxvj6Cbjc+p8Qruh/9Qg/ihR7urxEJ3n83/kNHy+6pzofPaWNPvY+xWI6QLuK76zTGxCShC+eRYjGCgoY3HKH6x8/RcOIh3A01dE/GePLlCbZXOWmuq5o1DSWRVYkkc6SVm29PdSmURm+lQ7JLrRTdbveM0XY3E2sdMZYbMB6JRBgfHyeRSHDx4sVCqni9eos1TVu3Xtzlpn+LeeCBB3jggQcA2L59O2fOnAHYueKDWyQ3tajO13ta/G+zQGffvn2Fwou1xBQ3M/UaDAYLnsEOKIhH7ntPkvvBD4jbpqtm65pqiN37EHFszNUhO5/rkCiK5PN5zp8/j9/j4XAiQf6P/i8SWYVOe5CMZMNlqOh2B/69B2HbNtSDzchBNzLMWHOuNUpfZz6f5+zZs7S0tNDc3Lzge2NeFEwlctQFnBxs9oMOLvvbQlzaTyvYbMgHDjA1NUXMZuNgRQX2y5fpO3cVXaWQto4MjOL68pcR3G7uuus+ksdOU9FQtegUrRmxvp2mriN2aifu117G+VQv6ODPZxDa2ogMjRDbcYSabS2MGRpVqlHYX7S5vOQlLwMJAYcsMTyhcjSrbspU8WqwUEq0nJVi8Z7izWSluN5tPOZets/nQ9d1du7cOWv2qfnerVXB2M2Q/t1M3JTf8tLe0/mqe69evbosq8GVIAhCYZ9p7969hatOeLvIyPnaK8jfnU7v+/UccnMzsXvvRbLZFoysyrkOJTIK/ZNJEuFxTnmcuL73T+SGh0mKdp71biMqOhnzVrFjewN2XzVKvR+XY+615nI2KmZqaop4PM4dd9yxaKMM86JgJJrB45iOUueLhuHtvlpFUbj77runU1EHDuB/V4rsC1cY7e/FMTSAX88B0y1Bjqd/iOPZp5BOnUR/5zsRmxdXSe9z2maIn8/phZ95FP3EYfJf/Rre/n7uTg7QpSTJJFI4crvI7dqDu6KG3dtaiWcUnro4xPBUlMFwhj1ByOdVBsdC7G2tWZd9sY2ys1sM5fYUy1kpmnuKm63Hc6NN7ecyT+jo6CCXyxVm71ZWVq7a+W49X7MlqhvAYntPk8kk6XSa5ubmZVkNLhdd1+ns7CSXy3HffffNSJuY+4lKTw/qqxe4R7Tj1fNU7NvFuz/574grxryR4VzE03m+/ep1QuPjVPf3ke9/C3tRy0qnvxH/thZEd4Cdh+p5T50PzVjeWuZr7OjoIJlM4vP5luw85XPJ7HHJNFa4FoyGc7kcFy9epLq6GpfLNcOX+FxfDHdDPdnaGu557CGq286Rf/ll4qEYMdGOT83ie/0NtNffQDp2FPm9751TXBdySxKbmnD83u+gPvc8PPkjBEOnX65gsHMCaSzF3fV3QKWLeFbF4XByaIeXFBFsfhlJGSWfjHDuXD8Oh6Owv3grDM6GlRvbl7NSNI3tZVkuRGKbocdzI0W1NFosnX1qXqBEIhGGh4fRdX1G0dNyo831jFTz+fxNP13pphLVxcw9hbf9ZZ1OJ62trev2RSyutHW73bP2IWIZBXV0lMCrzzPJdP9nxc6tuH/tVxEcjjlTvvOhKArPv3GRUF+IbdcukMyphT5QweHA8eADyEIzoseOkMojAN4bc0pLHYmW8hqrq6s5cuQIb7755jKOepqFouFIJMLVq1cL0f7Y2FjhNnNvtrnazWQ8h+Hx4HjPo+QeeIgzT18gf+UqxsQ49yQH8ep5tAtvoV14C+nEcWwtM9PUiazKi+1TGLqBIApzuiUJkkT23gd4w9nK5OtvYiR1dudC6Lkwmf/5JuqH3kfg8DEEUSCVVdld7+Fgo5dJeYqjB/cCFFpRent7C/tHpsjerCeTtTS2N60UzR5Pr9db2FPcCDYqC7AYMS++QDFn75rj7cyCseLJO4u9OFjvC4nNlp1YKjeFqBane+ebe2oWzACcPn2ac+fOrduXYHJyko6OjsK+7fj4+Kz7eBMRlJdeZBI7IlBRW4n7P3wGYZlFALFYjHNn3mTq0jjRqQznbTVsy03g13PY77wTx2MfZKvDw95LY4RTOWIpgdFIlmh6klPbKue0BJwLcxydKXK6rq/aMPZiDMNgYGCA0dFRjh8/XnavaK6CrXhWQ2huoWHPNsa6hxjveJP49av4tWnTCu38m9Q99xy54RHk970PsbaGkWiWcDJPc9BF6kbEOtf+ZyyjgNfHlvc8xMgrV0j3xQhqGfzpOPm/+zL2O65w38/+O+LC9Kxaj10kOfL25680fZdIJAiHw1y+fLkQWZitKDfTyWWtvmPlrBQjkQjXr18nlUrR3t5eiGTXo0J1I8evLXXd0rFs+Xx+xsQYM2sy18SY4rXXI1LdzNsWS2HTi+pi556aVoPFw7UlSUJV1TWNAMx0bzKZZO+hY6RVkDPK7NeRTmP767/inkh4OkL1O6n7zd9BWEb1o9m+MnblCvUvv8lExsZpXWFQdLPHiFH7mV9BPnIYAB/w6OF62kcTdLuShchuOJKZszWn3HrFw8TNVqRS68DVQNO0ggfzqVOn5vwyz1Ww9XYhVB4lUEn7He9E3ncK43Ibd11/bdrJyQD17Fm0CxfI3P8wbU1HGQrnGIpk2V3vmXd/N+CSEUSBdF5j74ndHDjRSPV3/6kwYk574wxydzeNn/plxMrWQjV2OQRBmOEhq6oq0WiUqakpurq6lj1FZr1PTus52s60UmxtbeXMmTPU1tYSDodneO6Ws1JcLTZ6T3Ul2O126urqqLvRV27adhYPVDDfv+J2w/V0VLoVhHVTi+pi0r2m1eDo6Ogsq8HFGNuvBNNHt6amhl37DvHC9alC5OdR3/4iGIZB5m+/hDY+hhfwSeD5tV9HDAbndEeaC9P43zEwyJ6nnyGZVRA9raREmcq6IJ777y0IqonPJbOnwcdINPv2eLRK14yf5xKScsPETVb7w59OpwsTQFpaWha8f7n0sSm2oUSWeDpH53iK6i31DHn99J8+wvazL8CrL03fWdWIvPQaQuUop44fYbS6iUPN/kX1tM6oEG7+dcQfPonrjZ8AYEyFyP73z2P/0IcQ737bDWuhfVubzUZ1dXXBttJMFZsnvc2aKt6IE6G5ZvGg8VIrxbXYv97M6d+lYtp2NjU1zcoC5PP5wuQdRVHW5UJiPZ2b1pJNKarz9Z4WU2w1eMcdd5Q1ulZVdU2OsdhHt7KykqFwekbkl9GEwhch/+OnUC5dKjzW9QsfR9q6dZYpfHEKtpzYFoZ7j4ziefppDE3DC9ybHSb7gceQD+8jEZ4se7zlIrsHnbZ5BX2uYeJrgZk+LzeGbqn4XDIuWSBiF+iaTDMUStM1mcao9TF+3/upam7iaPtVjL5+/FoOMZsh/pM38AUrqKu6h1GnzHA0Q1OFi4aK2QYhZoWwuRebzmvk997H/Tt3U/Xtf4BsDhSV/Ne/gdTdjbB716L3bYtZbKo4EAhsqGvRRopqMcVWivB2JGa2OpkXJSuZgbqeRgil666l4JRmAXRdLwxUSKVSvPXWW2v+eUun0zf9gHLYhKK6mLmn8Pb+3nxWg4uZFrOc4+vo6CCVSs1o0ynd4/M5bqzd10fuX/6l8HjHu9+NfPr0LFP4RnPySZHrUPF+Zzw8QX9fH/u7exBeegkz4SYGAtR+5tewbd9OPB4nNrX4earzFQotNEx8tTCNKiKRyKq3PRU7JRmCQEvQxVQ8R7y6Hvl9j8L5N/F951+5Oz5AXHLgH+gn8r+u8o2978JoakKyy3zi7taywgrT+6vpvMZYLEsio/JCVQM/859+F/tX/g5jeAQA9fXXqTl/nuFAE5GkQNBnJ5zIT0/gqV98k/tSUsU3o4H/UlmMkJdGYuZFiTkDdTlWihtxAZHIqoxEc3js67euKIqFLEAoFOLo0aNEo1FCoRDd3d3YbLbC7UspepqPVCp105mBlGPTiOpSek+7uroWZTW42qKaTqdpa2ujtraWPXv2zDi+0kiw89oYWipF/m/+FuNGCtq2fTuOf/cBYPqEbJrCxzIKQa9cSMEWWxGOxzKcvXiVKqfBkZ5e1Jdeevv1tW7B/R9+jZTLRyycRlqFwiFN07h+/Tqqqq54ruxcmFG4Wxbo7biK1+vlxIkTa3IlXuyUNBXPIYgCbnn6syXdcRrp6BFsTz2F96lnQFfocgTJToSoDE8S3bKd4WjNnKIacMnkVY1ERsXnsuG0CSR8lTT9/u+R/8Y/oL3+BgD5cIIL//B9unef4HXBQa3ficsh0VhR3ux/MZSmiosHjqfTaa5du7ZuqeLNEqnOR+lFSbEdYG9vL6IoFqLY+SwB13tP1cxwhMNpJFGgsXFuE5GFthdWQunnzXTJMouenE7nDJes5XweboUeVdgkolqa7p3rD1LsULQYq8HVFNXx8XG6uro4cOBAoaeulOLITxRF8t/8Z4RQCICUpwL18Y+jKwY+2/QJ2W230VDhIujRefeBulnFNkNTcUaHh9l/pJnWV19CeeWVwlrysWO4PvlLJHWxENWqap4GYfnp7nQ6zaVLl2hoaFhWK1JpyrpsCvtGFJ7JZBkZHeJ9p3awc8v8xgzm82SWYPc344KnZB+08+pIIZpLGhKxe96J7+SdOL/zLfzXBwnJbiYBcWAC9w/aMT7yfoQyf3Of08bD+2p55uokTptQMNMQ7DbsH/95tB07yH/zmyRsYM/n2HPlDPmth9m/twaHNG1XCazKibC4SvbMmTM0NzevW6r4ZhDVUkrtAPP5POFwmJGREdrb23G5XDNG25lrrbeoxjIKhm5Q4RJJ5IQ5K9NnbEWoGg/vq53zYnA1KHXJKp1aVDx5Z7GpdrNl6mZnw0V1sene5VgNroaomm4+mUxmwfRksYg4u7rRXn8dm81GUrRz5v4PIEQMxOhkYe90LitAn0tmf5XB1c5RHj21G+lHPyZy/gzmx00+fRrXL/4Cgs1GrGgvdySkkMgt7/Wae5oHDhxAcngYNqewLLJ/1RTLSDJHLKdw3+4aBkKZWS07sYxCOBJBS0VobGxGs/vm7ZUt3ncemdQ4PU+V8nwUOyWZVcul+5z3/cIn8Z17i1PPXIR8HgwD+8QAmf/rCvaPfhhbmTGCDRVO3n+8YZYwCoKA7d57ELe04v5//jsiBjrgHh1EPRNGuPM0kiAseZ91McyXKi42VFhP/9jVZrWF3G63z7JSjEQiM8azBYPBwoX/emFWm08lFUSbTCqn0TWeJJpRZuz5l25FPHN1kvcfb1gXa8zSqUVmqt3sM1cUhUAgUEi1z2VFadou3uxsmKgutvfUFLV0Or3kPbeViqoZudXX17N37955v0zF+6CCqrDn6ecK0VD62CmELVtmta+U29OMpXNcuNyOjMo9dxzn+X94ivz1UURPK/ekBgjeeRLnJz6OcOP9Kt7LlSQRl21p+2mGYXDxagcjk1HuOH4MSZZn7ecCC1YoxzIKkWSO8/1RklmFq8Nxjm8JcqDZX3jNuqHTdr2TSDzNluYtqDpcHIgVrApLe2VL951zKvO2/piYFcvZbJZgMEhVVVXZ6ShmFFDtd0zvtWZVgqeOUeOoQ3nzAvR0Ixk6I3kR/99+lcDpNuwf+rlZbVCl1obFiK2tpD78GPeeeZPowBB3pQbQIiIV8R4yH34CQzfwOG0MhzNL3mddLPOlilejqnijItW1ihiLrRSbm5sL49nC4TCTk5OEw2Eikci6FYntqvMipEOE8gKvdEzxRk+EoFtGtkk8drIBp10indNIZJQZWxHFUe1yU8PL2Z8vvqjbsmULmqYVrCgHBgZmWFEWv3/LLVTKZrPcd9995HI5VFXlscce44/+6I/4xCc+wYsvvkggEODixYtvAZ8wDOOtJS+wRDY0Ul0o3ZtKpQrpyIVErRwrEdWxsTG6u7sXXY1avA86/OxZUhmVakD0+aj9ufdzbSC9YPvKRCTBN569iN3txe2rRHrqVfLXrhcM4zN33I3zFz48516uxy7ScWV00a8xn8/z+vmLdMRsVNU08ey1EHUBB+m8SkvVdD/rSDRD+2iSTE4lq2m8+0A9DZVvmzEI+Txqdzeu4XHCVxLEYzqabqDoGm39fTjyE7gMhVRqjO8JlSguLz63i21dFxF9PjrkCiorPYQcfiJVEt7WWgRBIJFRaB9NAEZh31nSwL/ACSGZTHLp0iW2bt2K1+slGo0WpqOY5uOGYWDcsGkURKGw12qecO4/3EhsVw309vDy935COqvg1hUePnMBX2cnuY98jGRj64wT1HwnLd3tpuq3/iP+f/hH1Fen227oT2B88f8j+/C/py0jgSDgGoqvaJ91sZQaKhRXFWuaVkjbLVYwNkJUzczWelA8ni2fz1NTU4Ou64XI32azFS5K5rNSLPcZKf4dzNwKSGRVXrw+STqeoqdrHJ+mMpIVieUk0pqGqKv89bVOqrQshiRSIWj47DZqAi4cwQC+BhsJl8xINEvbUAyHJJLTdA41B2iscC7qc7Yaf1vTyam49ak4c9LR0VEw8ViOqDocDp577jm8Xi+KonDPPffw6KOPAvDf//t/57HHHgM4uqIXsQQ2TFTN6HSuKyGz+vTAgQPLbrGQJIlcLrekx2iaRnt7O7lcjtOnTy96aoYZMY73jGC0t+PTchiigfPDH0auruBBj2feaG9iYoLXLnYQCNYQzcN4xxCJa9cJCBJTkgu5tYXaD3+w7AfcjHiX4nAUjUa5cuUKgdpWqu0iXqeNn3ROEUk5mYjnyCkaIJDKamRyKiOxLLGMwo/PD/A+ewh3TyfR3kGEzj7GvdO2iPfLFXQHj5EQHXgNha25EN58jL3JYUZyOkONO/HqKhNpODraS62a5LqnlRFABKTvDpB02Ult2c5zgR1MOCsYwsXuBh9Bj4OqfARgznTx+Pg43d3dHDp0CLfbjaIoM1J6qVSKcDhcaBGorKzkUE0Awe6h0usonGTMyLM910rPEXAN9DEyFWF/dhIiSZ796o/J7tmH7+A+HjlcD7BgGlew2ZCf+ChCczPKP/8z6AaeyCR7fvTPpO79aVp3ty7o5rQWrFaq+GbbU13JujabDb/fPyPyj0QiBStF8+Kt2EQhkVX58eVxoqk8CCLvPVyH12krfG5y2vT31i4AkTBHM6MMd48wOZYianMRNWTGZQcygL2CuGDDYUgIhg2/qpM2bCiGxrbEFNsGRzEEuPbS0/TVbiHbuo1hfx1Ht1XSMZQkndMIeu2L2m5YCzclWZZnWFE2NTURj8d58skn6erq4vLlyzz88MO8853vZOfOnQv+nU0PZJgWbDP7uVFsaKRazpGn1GpwJdWnS41Uzci4sbFxySb8PpfMA3urGfvRP+FJDSAaCsae/dhOnSzcXk5Mix2Z7rnjOE9enCA2MoG78zo+Pcf+zCT+1gbqf+n9+N3zb/gvxuHIdGMaGRnh2LFjaIJM/7VJBkNpMGBHrRenTSSeUan1OeiaSDIxGWWkf5yK6BREhplIj5ARJH7k34le7abFpvPOZC87lCiPR9p42rcDp6EwKvtx5tLEbdU0OHRyNhmHpiNgkMZGXHRwNDNKQnSQxsaozQuZJKNdQ1wM+InYEqREB/7+PD+/18OArvDc1QkQhBnpYrMifCwUo3nnQbC9XaAxIzq4YT4eiUTYtWsXmUyGUChELNZP+IZ4mL7N0397AcEmI+3dizA6jnClj1GgyxHE1TPEUDjDoarTeIKBGWnkuYQxmdOIHb0Db1UN9i9/CTJZ6tMRAj95ibh2B7Yd2xc1+3UtWU6qeCNaeDaTCYPT6aShoQFvZQ2xdB6bkSefihcuzgOBABHdRdtgkkRWI6dqCILBPbuqMXSDKlHl8tVBMqMj7B7tJmJz8axow6GrXHPVowsCnmyCYD6HJsmkFRujsh+/lgEgJdnJixKN+QQGBs/5txGRXBiAO69x/NJ5BryNdMWaUfzVSKLAaDTDSDTLnvr5C4PWw02psbGRX/3VX0UURTweDw8++CDPPvssv/d7v8djjz3GRz/60QWfQ9M0Tpw4QVdXF5/5zGe44447+MIXvsAf/MEf8Md//Me0tbX9D+D/MAxjaVHWMtjwQqVi4vE4ly9fnmE1uBKWIqqjo6P09vauKDJ2XjxPXc/0BUFasqG8733zfvGLDfiPHz+OIAi8c7uX7z/1FPZ8Apeh0hR0UfcffgnRt3D/1kInGdONSZKkGRaA5ii2iw4byZwKgkCNx0b9xAD9V7rJR5MYNh9xw6AFyAgSXw0eZVD2I9kVomqSA5lJGkgy7KigUU3ylrMeQ1WYkD002mQ6xem1xm0etucj9DkrGTb85AWJvCAxYA9gILA7F2JrNkJWkIiLTgwBJlIqF158Cy0ZI1w3StXWJtJNrUS3BHDa4NKlS0hOLyNCLV3XQ3gcNt59sAZFUXm5MzwrgjSzJMXVn6Z49PT0kMlk8Pl8OL0V7KxxklWh6cAWtjzyqwx8/dsYMRAAIx4n96X/Td1HPoAgBmakkUsZjWZ59toEdpuE217Fvf/xN8n/zZeIJ7McTY2gPf9dgrYH8B7+qRmPW8s2icWwmFTxRrg7bSZRhXJDGRpnmCgMdY8RjkTJqmCzy6SnwuRHr6Geu8Z10UmXsxpJ14l7mqhRk9j16YtPDIO8YCPiqKRBS1OnpdmqR/FrOfKijS35KNuzIa656/BqOXqcQSYlN6og4dVyiIZCyOZmV3qSugvdPNdynFdjDdOtZXZpwTTwerocpVKpwlbf3r17+cxnPrPox0qSxFtvvUU0GuUDH/gAly9f5rOf/Sz19fXk83mcTmcQ+H3gj9fsBdxgU4iqaaA+MjKyqmYDixFVsy9TURROnTq1rCHJiYxCNJ7G9p3vYUqffu896MHKOR8zNTVFe3t7wZw+kVGIpvPYv/1N3jt+hbjoIOAQqfuN30P0rbx4JZlM0tbWVnaYuM8l02gedzqDq+8tzpzrYiSbJSM6qTIUduUiDMte9mcmiUvO6UpWQyWDQEaUQYC46EAHHHqepCEg2+wM2mtw5MJUaRkq9By6KJCQHMiGwVYlSlR2kBQcuPXp9pK0IONGpVWNMWXzIOk6EcnJs55taE6VlM1DQ28ER+8Uu1/6NzqqK9n66LtQgw20dw7icdoYDKc52OTDIRllI8hyEX2xeJiFKaFQiAYjTFo3aPRWgstLy6/8PHu/9TKJ9i4alQT1iTHs/+svuOt9P0v6znsIuO2zTlIZxeCZq5MMhDL4XDbqA07G3JV0/MzHyT//AmI0yt3JAZw/+B756BT2j3wYwWZblgvTWjJXqnh0dJRoNEomk1m3quKNTP+WW7e06M38rJkmCqcP+hiL93ClfQShqwdfchQ93InfUUF79U7smoIXlYCWY096ilf9W0mKMgnJybGAwTXVwf7mOlSvl86EgV22ISFy38kGBsMZWpNZhifj+GIpYpEM2axOxtDYl5nkVGqYejVJXHLQNDWEQ1eQdu0mmlIWLI672QaUV1RU8OCDD/KjH/2I3/md3wEwW3q+DPzOig9yEWx4+jefzxe8ZU+fPr2qf8CFRNVM9zY1NdHS0rKsL6lZ9Zu/cgVNCXCPGMPvc2E8/FDZtYsdhE6ePInD4Xj7Oa5eRetNcA/QqCZwf/oziHO4RS2FsbExenp6OHjwYNnZp4mMwnNtIyjXrpO6ep0DiRGO6Dl0RER03nA3M2Lz4dEVGrQkvYKfjCCTR0DWNfZlJwgEPKRqG8gIAfryAtiqaKywoyBy98799MQV1GieGhGi6TxDmkZYV9lipLCnM/SnDfRsliYlQYOa5I7kEF1yEEWQSAl2spKMioiKSJOSQFJyvKrYqc6mGPryk1Q215Or2I6nvoppuykDf5lCpMVQXJiyffv2gqes2ei+5XAd9jqZ+qd/OG3QD6hP/oD80BjG449BifClFHC6BHwuG4mMStAzvV+N00XD+9/D2I+eJ947Pj1F5yevkY/HsX/ql4lltEWllTcKM1UsSRJOp5OWlpayqeKV2ALOxVpW/87HXJFqcdFbTtNJ5TRGo1m0fB5P+2Uc3/5n3pU3OGTzYgggGTpnm46SRiQhubApOSYkOy5dxXVwJ9trdiDX1HB1MoNY4UQeHEdobUA0BPYEoMJrJ5NTUXQDw4DqKi9XQzmSTom4S8bhFakUFXZNjpFK2eiRK0AAl66gJFKMdg+h7GihbYHiuPU001+uqE5OTiLLMhUVFWQyGZ5++ml+//d/n9HRURoaGswL6PcDl1f5kMuyod9QM420c+fOwuSE1WQ+UR0ZGaGvr29OoVkssYyClstRcek8kwjERQc1P/3TSG43+cz0nofZv+qyQW/HVfx+P7sPHGYypRHQp29TJyepOPcTJgUHcdFB1cP3IR89umTD/WJMS0WzHak4Cjef1++0MfXqWbLPn8eVinPR3UjG1UilnuWe1AAwrVGGMP3lHZfc/KBiDzm3C2wuWlw5Hnjkg1xNCoxPTDAVS1MVCJKP58mqBltqPDTurseXVVBujJpT4jmObalkKpHjrl1VNFa4GIlmMDSN+lwcra+Xi21hHDENTzaDDZ2UZEdW89gNjbySx66pBJw2fFqWs/ZaqoejGBMd2PsNgnt2YOjTBUSm6YMkCAWzhaVO1yn2lDV7GMM1lUx63kv2X79LKprh9eodiD0JhP/vX7j7gw/hrq4spGw9MmgOGw1+qHTbeXhfDV6njc7xJKGcgf3B+6gM6vD6qwBol6+Q+8v/if8Xf3lZFwXrjRm9zZUqNm0Bl1pVvJg115v5zB921XlJ51S6J1NcbOuno62X7eM9uAyVo6oNTRKpV5MAfD+wmwE5gENXobKabEUAl9+Hr8aFVA2x3gjqxBh1DieH6rxskWzs3lGFXbZxvj+KoRu4HDaaKlyMxXIMhzPYJZFjWwJIImytdjEczfGi704injBqLE5QzbAlF2FXdooqJcX+/ZVkpcC8JiTrnf5dTvXv6OgoH//4x9E0DV3X+dCHPsRP//RP89BDDzE5OWl+16uBT6/2MZdjQ0VV07Q552WuBuVEVdM0rl27tmo2fAGXjHG9nUlVmJ6RWulFvvcepHAYTdMKUWgylWJ8bJT3v2M31VVVM3pBT7b40F57jUnBMf0cLXU4PvjBsh7AyxkmXmqpaBoq2LMZ5PNn2d53mai7mTG5AgOBoJ4hLLoYtXnx6Ap2Q6NJTRNu2s7QjjtQM17qJJGMomEjTShv0N8/SEOlB9ndAAhsrwvwascUGPCPrw+yu85LhdvOzlovXRNJNN2gyuuYvkq+kX6OZRSkqkbG3ZWMRfvRqhRSGYXdtgy20CTK0DhOJcexzAi1Dom35AaGZS8GAtuUKE5DxZvNkzoXpe1qG9K+vTz4U6cIuOQZaVRfTscRyVIv2pfcx1fcw9jS0kLkyAme+cpT9IwnSYh2nAmFa994mUNHt1O5pZn799bgkgWOFTk6mc9f7PLkPfoRlKAP9Qc/AkDv7ML+hf/JfZ/6VeKSY8ZFwWaKVqG8wM1lC1jsHVtVVbXsVPF6ttQUU/pap315p1tW7BhEu/qxXTiP01DRnHU4dZW0KPOCb9v08AYMKpQ0U41bkKtrUd1eatwyXrvE9lovqaxKQ1MFT+zcSiSZw8inUNJxslqKqYHptpNjDQF0yYFNktAMgxNbKohnFVxDcXQDKjx2DB2yioZLlhB8fjK6jXAixLjczOH0GFnJzuTZi/jf1zSvCcnNEKkePnyYCxcuzPr9c889V/zjE8s/sqWxod/O2traNZsiA7NF1dxXbG5uprm5eVW+lF5B4863niWW0/DrOao+9ASCbXovRdd1ouk8E5OTSEqKpuYWZLd/Rk/rZDxH9sWXuGukbXof1WZQ96k/mHZLiqcXPfO0mNJh4sUkMgo/vjxG79V+3L2duNUsveYXXhAJKinecDch6xouQ+EuWwzHgSPEd+7C6XKxr9HHuVf7GYtmQBDwug1io70Eg7XIXh8edbo1YCqRw22XqPU7CaXyuBwSugG1AQe76r2z7AyLLx6aK13IokhjhYuQJHDoYCs7gge4cO5NjjgkWgZ7US+8hTc1QLetAtUt0ScHGLBX4NWyTMpe7kgMYjtzlskLL2F7+EHSnhbcTploMk/HZJ5JI0H7VJ7790xXuS537zKli1TceQpvWy+RkTCyoiMoecTnnmVw/z7OK9uxKwoOUae5cubFY6lpRO7d7yEkenD/4Ht49Tz6wCDy//xzfJ/+DC+Pq5tmb3U5lNoCmoVh/f39BXs6cz92Mani9YxUR6PZwtSi4kjV3PMOTcUZvNrLwYHLpGxeBMmOoQlIGGTFaUe1rCjhqg6S2LaD1/JOwhkVIQfH6xy860At18eSpLLqjH5pgFhm2pM4Eolw8OBBotEo4dA4E+E416MSLrcHn9fDwwcbaKxwEcsoHG8N8GLHFC7ZxmQiR1pRydtENKcP8nniopNt+QhbEyH2EyJpVMy5zbDekapvFepHNpqb65u5RIpF1ex7PXTo0Kr+4fLPv4AnFcUQ7SRqGvEdPob9xtqKotDfdR1Ng2B9CzZRKqTwTBck4jGcz/4Yj57Hq+dx/tzjiDXTJ/rSyTcLpf8MwyCXy9HZ2TnnsIFoOIF47gzusShh0cmQw4Pd0AhLbrxaFlWUMAzw2iVsR07jfOgY7/I5Z4jgrz60g47xBLlkjHwoxukjh3D5Kmc0sZvVxLphIAkCmZxW8MYtbS8qvcjwOCX2NvoJp3Jk8hoDYyGudYQ53lhJy9GDuN3vxEinibx8ho7zAxCO0uGonm4XctaSFySe8e/gnmQfvsgAE//6JOcb74D6ekSvlxpZoMojk1SMQvS33L3LgEvG5bCxZe8WMnYnzV2XmBIdCE43dd1dNFXZuBrwc+ZCG07JwO4JYHP5aaqtJOB+u2q2UJTUtB/jYSd3PvctvFqOxESEri/8PakH3kNra82m3FtdjsCVpoqTySShUGjRE2TWS1RHo1n+96sD6LqBKAoc92kkcxrxbI5E9wDxH7+OHI+RdtbwhqcJt67Sko9xMDvOXakBxiUPr514N+26k3ZJwpaGVC6Px2kjldXYUethZ52XuhtTqiRBYCSaIZ3T6J5M4ZBEBFFAzuhMpnUCgSrq6urwhdNMdU7iIMfg+ASvpEfZVusnGAyiCC5qvQ62VXu4PpIgms4zGsuRkCXcEzEMUSAv2hANncEzl6jeupOcptM1lsTlkGacZ262QqXNwOb5Zq4BZrTY1taGruurPnXFUBTyzzxDUrTziqcV2+E76WgP8+C+GtLpNOPj4xw8eJAjh4Oz9kUf3FdDNJ1H/ut/wKVM773atm/H/uCDheefzx+4FEVRaGtrwzAMTpw4UfZ1amNj2P7XF3Bk3NQJEqJNQ1ANOh3VTNncyIZGAxlqWhrIB6tRa7xU+JyzRLAu4CAy2kveloe6Klwu16z77HHJhSvn+/fUoN1wMCr3GkovHhorXDRWuLg+Gief6sOpq1Rv2UYuP1F4TFKQecGzhaF9NYjpFM6hMZKJNDnRRrWaxqPnac7HAXjFu4UpRUQYmsDvDKE1+JlK5nG5nIUTiCAKDIYz5FUNaSn9yUVm/Q8fqEUNN6N+9ato6TCSofPWGYFQdTXSu97FkVYfr14bJZEaJfdWLydbXDTXTadAYznhbWHfvp1M7Ufgn/+BV53NpLM2el99C4wjeKoqNt3e6koFrniWZ3Gq2GxxKudYtF6iOhzNoOsGjZVORiJZRhI6P3r6LRKvnUVFZMTuQ3RUoYoSTfk4u7MhxmQvg3uO0vyO45wPw/BECvIqVR4ZUYTxeA5FB0XTySoaiez05JlkVuUHbWMMhrOomoYsity7p5pQIsdbIzrj0iRuh8QjB+sIuO04nA4M3U5Li5+7dwVBmZ4fOzwxxMC4gtPpxiY5aa50s6XaM12UpNkRBidICjI/COxBnhDZfnWCvGaQyquI4sz3dD0HCKTTaUtUV8pafymSySSpVKrQ97ra64VfO8tESidl84LbTf2RvUykFK51D6DExqioqJhRgFXYE7shLo4L58h0twOQkp0o7//3BHMaPtfbH+L5Zp6amMPEzUrVGbfdKEhKdvQw/q3v4kul2UEWBPDpOV7wbMNhqFToWeoqXOj1e6mq8+N0iDMm55hks1kuXrxIbW0t+/bt48qVK3O6OC3m2M37lV485PN5MuM9uO0yvuo6JEHE5xALa8UyCk5p+qo6pLmhdQvOXB5hLEZOz1GjKmzPR4hLDnKCRF6wYQhAVuXhnzzFDuk4/nc+XFjzxJYKnrk6iWDAM1cneef+uUe+zTr+4jRuRQPG7/wHcl/4AkMDk+gIVPZ2M/mSl2sP3IEiONjRWkEyq1Jd5wQ9NT3KMJFhIuUgkfTg9boJnjpGxO4g/d2XETUVXzqB9/mn2PHvf2ZRx3QzU5oqzuVyBd9YM1Usy/K6iGpThQtRFBgOpVGnItjefJbLVTvwSy5CNjf1SpyWfIJJm5ucaGPo+D28pXmo9MhMXIzjd0qMJ3OoqoGmw/YaF1VeOw6bQDKnMxHP8eL1SY7XOXn2ygTdE2mSCnhcNpKqxsXBGOmcymDCQAxnUPRpm8E99d4Ze/LTnz87gUCAbdu2cSCZpWNokoGxKD/pmsJAAEmmqjbAtbEwYckDCFQrKYbGo0QUEZ9LJpRUZphCaJq2rDbD5aAoyob0PK82t2ykOjQ0xMDAAC6Xa1Zf5moQT+d57sUrqK468oKEvHMX44k8o6MjNLe4OXLkCJ2dnQBlC468kkHuX78LQFK08/rJn0LKOBCvTS6pIKl0mPjg4GBBeBIZhR9eGmOko5+LnWP47a1EPPs4lRqmVktzT2qAB1K95N0exndsx+73s7XGw+ntQZoqXbOOodxe7VIraeeiWIBNE5C9O3dyrCit3Ns5VVjLTLs2BpwEvTLbazx0jac4uauGvtEY74j0UBfOk9JEHIaG01CwGQaVaga3miP98uu80RXFOHQEb1Mth5r9OG0Co/E8iYzKs9cm+NljjctKswpeD47f+HUqv/z35HuSXK3YAqEsXU+dx759B4PhDLsbvNQFfficlQXT9u0TYQbHQ2jpETqvjqN5/Fzfc5zJwSl0w2BCTRH756fofPgBHji9fdOkgNc6anQ4HDQ0NBTaI5LJJAMDA8RiMaLR6LKGjS+WerfIR/V+Ol46y5AcIOQIMCl7cOcVZEPHYWhkfQGmdh+lrqGKwXAGn6JRG3AymVBAEHDLNvx+CY8EI8NhEokMU3mdWiWB5/ogMUT68hEkewVueyVdrjpUROyGxkSvTsBtZ1izo8kZbEA6N12HYl7MJbIqQ+ZUqRufCZvNxmROJiMH8PpERBFiySxPjkBeDqKKMpogERdlvJMpMsikFQ1NNwrPD+ub/r1V2BzfylWk1ObwzJkza7JOuKMHNRymWssQsvvYdWI3wxMDvOtQK7u3tZDNZgv7uaV7hrGMgv38q8SjCeI2HxlvAPHAgSUVJJlVzJqmzUhrmylvmN7XvHq5l0RPP1G5AsMGKUGm31GBL5MjLjrYcmI/H//ghxjNgWFQVkwNw6C/v5/x8fFZe7XF660GZqvTkSNHCuX15vHMNxQeYDSa4/pIHGw2pg4dR3n3HVQ8/zSPvHYBwQBNALeu0umpI+IM0G0EaTl3mcxgA/UPHySrGoUpH3abtKK9S8FuJ/ipX+TQ175L+M0ePIaD6ymJrR1vItz5Dg41T7t2FZ8MW+qraamf3k/P5/Nc7RvH45PJBJ3YR8ZQBBtk00w89zLDlXb2Htq63Ld5VVnPoiEzVWxOHmpqalowVbwc4pEEoadewPPis1TrefKyj5jkwpeJEvbV4NRVttV6ueenf4ZRwYU+kmQsniWWVoik8yAI2ASDxnSIvuEIopojLMiMyj50QSAv2Bi2+7mo1+MwNBqVOAIGPj2HDQ0dSIgOwMCeTKHbBKZGpnB63QyG09QHnGg36hXMFpviIjbTjKI56KJjPIWm6/g8LqJZkJISCQNEQ8PQdaLJLDnJwCYaNFS4cTve/syvV/p3I6wu14pbSlTNNGhra+uM6HQtvvTu82cQgSnJhVpXSzQyykN3HinsCUiSVBCb0j1DPyrh7z/NK55WdMA4chKbIC26IMkcSdfY2DjLtMIUuURGoevMFaI9g7h0DQOBrGBDRscwICfaqHn/e3A98vB0+0PJGmba2GMXGehux2azcerUqVlfsNWKVM2e2kwmM+fetyAIMwS8NL18pDVAKjc9YSeeyZOwu6j4yIfZct99fPCfvk20b5hB2c93PDtRJRthyQkOECMp3vz2sxy7/yj5gAefS8Ztl1a8dykIAlt+7qcRIv9K91SesOTicl7g4E9exbfjUV5sTxbM1Esnh9jtdna0NrAzLqLJPrIeH1pXD222SqSsju1r/4b7ow/TfHDfhpggFLORQ8oXkyourSo226ckQSCeVQGDxorpyuxYNIn27DO8eXEAHQHR28rdyYFCO0zSZufAliC77nkIj9+Nv8KFn+kRhu2jCdKZPLZ0AttgBw+nR5m0e2kRbYzIAbbkIwzbfegI2AUdu6bg17NkRZkeRxC3rrAzG6bHXkmfoxJVEACRKZsTRZTRMEhlNL77bBuvtTays95PTlXxO2R21HtnFLGZZhSprMq+Bg9Z5UZVfjJPSjSwaQZuXUGQRLxOB7gcSGi49AQTfdexpSoL82PXM1K9GWf7lnJL7KkahsHw8DADAwOzbA5NcVvND4aRyeA8/wZHNZkeRcJ9/2HuvvuOGUJQXHlcGlXJP3qS4ayK7oIaj0xi7272NwfwFFXHzkXxMPGKiopZt4uiSCyd58WfXOXCGx1EbdPR3p2pAXRBmq4wlgQefewBqu88WnhcsckEwPPXJsnksowOD/PosVb27NhS9nhWI1LN5/NcvHiRYDA4q6e2mIUEvLHCRZXXQTKrIgkCfpc8fQL1BPH/2q9SdamNb/2onT65BkHQ0QQJQcvQrMSZEiQ6fvgivr27OPzOO2gKulclvepz2mg40II0rmG/1k1KspNNZZn60lfR3v0BfEE/bV1hIqk8LrvEw/tqC3u5PqeNRw7WcajZDzSR2OXl4g9epSETIWFIRP7275n86Yew1dUVhMPtXtgj+lZgLiEvlyouNqCwu/1cj9owJJmOiTSGYSCLIlsq7Njar6N1djJpcyPafHgMBQwYu+GC1HzHEbrdLnbv3z9dmZtK0jme4t4gBM+8QixfC8b0dz4t2el2BpmwebAbKnHJyYBdoDafJGRzkxMkVJudqboW3G4nvno3WUPE65fZNpJkakxBUBTsuSy6AJqhIgM5QWIqL5HsHmEikafG50C25XHIYqG6HmYW0BWPlbt/TzUXv3KRlxQPOgJxm5NKGVyVbpqCbt57uI5qj0Q0GmViYoKJiQlSqRQ1NTVraj+53uK9ltz0kappEi+KInfcccesP4woiqu+L6CcPUs0p/ETqRqpvopAyyEyioGv6N0sFQAzqjIyGRLPPY9f1xCB2LE7kCWpYIIwF+YkllgsNu+wdlEUGe4aYvCNt/DosD0XwWkoPJTsp0FLkvBUUP/Lv0jFnh2Fx5Tu+e5p8BKLx8nFJqmrb8BTWTPnca00Uo3H47S1tbF79+7CKKjlrlV88eJzSuTzyoz+06b67YxtFxHGI0h5A4+WpTGfwKkrTNg9NBkC6pVr2EPdeH/pI+BcvtNWMVUugeTWFsgL1HVfx6vlMVJR9GeepvvU/cSzOqIooOl5nrk6yfuPN8wYQ2d6syYq9jKS0sk8/yJ2VcGf10i8/BZ86DEyqlEYBpDL5ZiYmKCysnJdikw2MlKdj+Kq4mBdE5FkjrGpCIlkiGwmw2TEwOeQkcOT9J6ZxGEoZB2VhEUXI3Y/fi2LIQiM7j5K3OPHLogkx6Mk3BEmolkOhXuZ6OjjzUyYlyv3oMkCmmTHruZRERiTPQzKFSiIeGWDiDNIa52X0GQWpwhBj52GahfhtMq1nMhYIkfC6cDf6OKOSo3eqRQGUGPTebNniqxhQxcEspKNNHbikSQgcHJbBT6XzM5azwyDkLd7XaeF1eyTzqgxzut2EERc+SQPNNSw7WTzDLtCczSboig0NTWRyWQK9pNL7SleDMt1U9qM3NSiaqZ755tqY7PZlj2ofC4izzzLSEZBrnHSfGw/UYRZ+6BzfeHzr7yCkcngBe5zZ1EfOEqF2z6voObzeS5dukQgEODEiRNzD0HOKAyNp+h/9jzjgo9xh5c6JcWWbIwGLYnf46D+P30aqaVlxuOK93wn4ln6BwaJRmI0NrYiy/K8adCVRKojIyP09/dz9OjRRX2hFiPgxbNl++KZGf2nyZyKzyPjcjvRZIOG9CQPJHr5t4q9jMseJuXtbM9FeEf3ebL/93/D/ku/iLRnz7JeWzEuWeCdu2p4VjCQK23YX3uFBiWJf7Kbp844MHYdZSCrsqPGjdMmFFJ4pS5PPqeNB+/dT6RKRvvqV3nRu4V2qQb5exc4fP8xHjmxD49d5I033iCZTDI4OAhQOAH6/f41Eb/1FFXzPUnltFmZhLkGfgNFc0sFKqqq0RWNyZF2sj0T9Eku3LpE1F6BhIEgibi1PE3N1fRpDq4pOmI8h8suIiXSyD/8AVFnDa8I4LRX0GevICK58RkKSUOmUYmTlmS6vQ1ogkROA10W0PIG+fEk2en6JTKCjq452FHrIZLMkZpUGAhncNkl3rW/Bo9z2jDF7xDZVqnSO6bS3hciYnORFSU0zSAcz9I2nCCn6JzpjbC3wYfbLnH/nmqSWZVnrk7itAm4HLbCfmsqqzBl9yAaBrogUFPlm9NUX9d13G43lZWVM3qKi6P/QCBQKBRbbsuiJaqrxHK/iIZhMDQ0xNDQ0IJTbZY6U3U+dF2n/Y0zeK9fpzlQRb8oEm7Yim0R+6AAhqaRf+ZZkqKduOig9qH7aaia/4NkDhNfKJJLZBSeuzZB7yuXGdXduFGoJEOlmuZQZpyEy4/n1z41S1Dh7T3fsXCK0dER7t5ZyZ2PnCSeVRdMRy8nUtV1nfb2drLZLKdOnVr0F3Gpa5Ua6u+s9TLemsNl5JHsdv7dsX2EntaR+/M05xOkJJmAlkETRIx4gtyf/wXyhz6E7f77ViwaDRVOfvZYI7FMDd6tLux/+zfEEalOR6nrfIOze+/Ef6OiOXAjbV3O5cnntOE7vo9r6cfpeOY6KUFGVGHqpTeIbavE11iJzWZj+/btwHSbQjgcZmRkhOvXr5cdoH2zUPyeRKMp3rHNV/Y2c+C3aZywq85TuLiajGbYMXANx3NPc8rQ6bFXctlVi91Q6dZtSLpKOlhLRPQwrosoqobbLpGLxMllUvhzCXoc09OnskgIAoREBzHRQaWRxePzcHCXl46+EFPZNAoCOcmBrugogkAib6Dd2AOPZlTqu97gjK+VKdlDwu4lnU8QcNsJJ/PIkkhz0EUkkaHGJ/PgqYP8v99+i9BEFgDZ0FGzWSbjNuLpPKIgsKPGjWETGYlmONsboWc8hd0u0VIxbS7htYsYqTTI3Bg8AYJv7vNnqaNScfS/ZcsWNE0jFosVBimYU3mCwSA+n2/R+/23ivEDbIJIdaknSlVVuXz5MjabbVFTbVZLVM3ioKbu7mkDfkPh/mYX6v7GRZvdq29eIB5J8IqnFRxOnP7tPDRHpW/pMPH59soSGYX20QRTF6/imRwn4W8lKdpo0JJUaxnOeluoeeBuOhIOHiyzns8lc7LZydmLPTx6fDs7WqcHwfndC/eMLTVSNfdPq6qq2Lt375LEarGfFV3XuXLlCpFIhDqnF5vbT2tDNVV+J48crKPRlqC5rorWhkq8H3gU279eYGIkgk1TqdCypESZpGjHq+dR/vGfMIaHyf7sv2M0+XZRy3L2WwspucqDaJ/5Vfxf+FtEDLR0hoMd5zh2/L00tU6L51AkM6/Lk7hzB2JHCmVkEs0QEOKTOL/2ZYzfmDmDUpZl6urqqKurwzAMUqkU4XC4MO5wNdpR1itSLR6vForopBSj7G2dY0kEoKnexVQ8BwgIAvRfuE7m/FscSvRSp6YKj33N20oOiUxDC8f2NSAIIjVeidevDqOOjpLVhGkzkVyULYlRwhX1OHWNlz1bSEh2kGVETSWtyTSGRmifVMkbAjgrsBs6sqEjGyqCIKEJAAYOQ8ej5XkxsI2wzU1etKFqCrmERkzTaRuKkcnr9E6laPDayKOzD/jAfbtI/ssbTGgyecGGLkAyq5IARAHO9ka5Z3cVIIAhEM+pZBI50nmNhw/UEh+dJIVEtZrBaSgooow7OPf86IW2ziRJKlykwfT3u3iik9PpLEwqcrvdc35OzKKyW4ENF9WlYPYvbt26lcbGxoUfwPQffSX+womMQs/QGJPD/Zw8ehD5hRcxny14+jj24PyFIWYBkCQIJJ5+mbjNiw40HNhJVJTKts/MNUy8HKY5fmYqwrneKF5PI0nJicdQmZLcOHWFhuMH8W9tZjCUnp6feMNv10yPxcMTDAwM8M67ji05BbOUi6JYLMbly5cXtX+63LVMc4r6+np27dpFKpUiFArR33WdXl2nsrKSgKzhlqe/3F6njX17mglW+aH9GvaURpejih5HkLuTA3j1PNFXz/DcqEHPjqNgs7G7wcsjB+tWVMgk7d1L1S//Anf/9ZeIGzL+ZD++rw/h/K3fBGdFoXpzKJQmqxqzXJ78Thv26iA+FRgZ4u5UP+5IlNxffRFOn5rz/fN6vXi9XlpbW8s6Fy3H5H69xrAVj1cTjOn3oPg202pPEsEhSwyF0sQzKo2xcbb+yzc562nGrmu85W7g7uQAKVHmrLsR967t7N3bSkbR2Vrtpv9KL5efvkaPqw6/LpCWXdTlMiRtLkbtFVyTa3DoKhHJMZ3V0Aw8mo5fzVClpAjLbg5mJqjVU8i6TpdcQdjhQdV16vJJhuwBAlqOnGQjYciogoTC9PvnMFRcyRjjnSnqdrcwGM4yGknhkXT6sgO851At27fUEOkOoQgSKiKCoWGTbLgcElVemUPNfhornCAY+Jw2qn0OmiudxLMKr5wfYspRjYBBjZKiMuihaZ5z2FIvmOx2+4yLuEwmU/h8pdNp/H5/IZItrgtJpVLLKrLLZrPcd9995HI5VFXlscce44/+6I/o7e3l8ccfJxQKceLECb75zW/aDcPIL3mBZXBTiKoZtQ0PD8/oX1wMK4lUY+kc33zxCplsjubmVoS8Tqx3gJjNR8DI4Tt6ZN7HZxSD565NkMlrdPRO0DqlIzhrEASR8Pa9ZdPGpul/a2vrnPvEMC3Ww5EML7VPMhLJYFzpIKAqVCsJBEHEKRrkBAmpuQmtuZWfdE5PjLnosOF3ypztjaDqGpPj4xyqFTm9hDRsMYuNVM3q7IWi7vlYSFTNVPm+ffuoqKggn8/PsL9TVZVIJEI4HKajo4PR0VHysg+XTeId+xvorPCgXb2G2HmVLmcQ2a1yOj1CXHIQCadQ81dx7d1LJqetiv+udPAAVZ/8BN4v/jXoOsb4BNm/+Euc/+k/4fN6OLGlgmevTeCQJc73R7nf+baRvmYY7Kv34tpSwchFhd5kJR5doe7adSojEYw771zwZDiXyb1ZkOL3+wtRyHq56sxHcUVr1J3GW+b9z6o6ogAHm/ycfauPgfNXGTF0ar1b8Gp5mpQ4IZubbnsFPzj4MP2Gk1RMY7Q7wikhhvzNZ+jx7yRqc5MRZFyigiZK5EUbMclFRhBRbHYM3Yasa9gElbxoRzAUEqKDTkcVaUkmb4i4DJWaGg8Bb5ADNV7aYzpbqrfiS6qkcwqaojAcUVB0FTQAAxEDp5ZDTWYY6hhi0uEHQ8fmFYil8nzv4hjjiowiTrfHiYYxPdfYJuB3SlR7Hfid03vwD++rxTDe3lNN5zTaR6K4RBnR0NmdC3G0qXLW/j3M3I9ebhZCEATcbjdut7tgcGKOA7x8+TKappHJZJiamkKSpGVFqg6Hg+eeew6v14uiKNxzzz08+uij/Nmf/Rm/9Vu/xeOPP86nP/1pgF8CvrCsF7JENr2oKorClStXkGV5WUPMi/tFl0I2m+WVM2+B4OTEgZ1MJvIMnLvMVfd0b6lcV8sjNifzWfOnVdB0HZddIjMRIidKOHSVI9uCVO9rmJU2XmiYuIlZrRtK5hgMp3FNjBJKK+RFCaeuIggGeSS8Hgee/fvwOSXqfE521HlJ5lSGIxly+TzJqRFsdi8t23csu8CgtHe0FF3XuX79Ovl8fkn7p3OtNZeomnvs5ijBcqPBbDYbNTU1JBIJfD4fbrebwbEpJsbHGB7WkB1O9G1beV0LEI8m6HRWM2XzcDI9zJjsZUhzol4fxmczCLhmZ0oWOz6uGOnwYey/9Evk//ZvGRfdjEYMGr/wJbb8xqen/ZKdctkUsOkoFUnluShWMLTzJBdHhvlo+CLu6+0o//Iv2D/4wSUdU6nJfTweJxwOMzQ0hGEYMwqeiiPT9SxUMlPo+YgwY83pYjvIKBrxSJIXnnsROZ8lINoxAB3IixIhmxv5yCEm9uyl9/wo8YyKrqoM9oxwV7iNQdlPSHQSsbnRBUiIMpI+fVGekGSiYiWKJCNKOjoShgB2XcVmMC2GHi8Ot5uUXEFCkAjUewmFsmhZkUq/jNNh5856P+PxHE0VTp68OMpQOINkF7CpCva8jiJKJAQXWtbA7VTJITKZ1IgrWWp1OwYCsqGTFWy4DIWWdIIjpw6jagJVPjuvdoUKfc/vP95Q+PuPRDMYySQGYEenWksT2LV93v1ov7J6pgyiKBIIBApWiqqq8tZbb/H000/z+uuvYxgGlZWVvPOd7+TYsWOLOteb2ReY1gpFURAEgeeee45vfOMbAHz84x/ni1/84vu5XUR1vhNlLBbjypUrbNu2jYaGhmU9/3LSv1NTU7S3t3Nozy60UZXJRJ68qjPa3kdGsNGkJog1t8zrfJTIKOR0AVXRyCp5JiMpdLkSBxoPnThMc1HKxSzcyWQys4aJl8Os1m0JuhkYCWPv60GQ3OzOhRDReDh8nedrDpJr2cb5gTgnRJGJRJ4K9/SJ2CPmGBocoLauHp93es7pchFFcZbfsEkul+PixYvU1NSwb9++FZ94y31WzPcul8vNSJXPt5Z5m8fjYe8OD01NTYXZlW90jqPboLLSiTiVZlx00WOvpEpJMWbzoukaPW91EGuW8B0/AMycqWmejOYaz1ZO5GzHjzH6oY/x9ee60BCQEgYf++JXqPyFj805pNyM2l7tDFHrsdO6ZTuDqsJowsdWQH36WZK+Sn5St39ZI+MEQZhxAlQUhUgkwtjYGB0dHbhcroLIboaWGkkQmAolmGzrwBsPg6aiIZIS5en9VSXOXQcbkN79CJLDwb+eGyKdSJPXwGZo6Ab82LcD2dDpdVZiMwxcmopbU8jYbAzKflRAEW2IgoCIiGDoCDYbbpcLyWZDcthIpvPYJQGPQyKUyjEyFkZDwOlxcaw5wOWRNDZJYCqZp8Jl49S2IDYxNu3CZNhIijb0TI68KCAYoETTCF4PPrtInc+J320jGkpTo0wPO9+iRGhWkuzd+gBtQ3E8DomL/THSOY2g186JLRXA9L6rkVdomRpEE0SalDgNShJp754Z+9FdY9Oia+5Hp8p/tVcF2/+fvf+OsvO873vRz/P23cv0hg6CAAkSJMAiUY2WJdmKbNlWrFjXjnwSRUqc3LN87eSuOGvZ6+afeDknR+c4ju9JfBzHlkvc4xP72JYlq4uiSLGg9zK9717e/jz3jz17cwDMADPAgKR9812LBImZ/Zb9lu/za9+vYXDixAlOnDjBb/7mb7K6usr4+Dj/4T/8B15//XV+9md/lo9//ON33U4cxxw/fpyrV6/yz/7ZP2P//v03dSKvCQFtnvbbYbzlpLoRlFJMT08zPz+/7XTvrdhO+rc7C1qtVjlx4gS2bVPIh8xXXU5OVVhYrPY6//Jjo5t2/HYjybkGDCQVu4MafmOavPTxnBRi/8He764XqN9q4063W7fpR+xfuEpfe4l+M81Y1GBRmphIjh0aIdrbz9WlFsP5BNmkxb7BFMmoSn1plR/7wJP4Uttyk9Vm2GxR1K2fHjp0iP7+/nve/p32dT9NTzfNEPdm+lIdcYDaJPNlF3/QZmkxQvPbTJl5YqUYiptoEl7//c+TCn2Mxx/ja5dWKTcDZssuzx4o0vIiKmcvkpoYQFtnqLBZRy/A0p5DyAmfkesXWDAzzF1fYPiP/4D3fPwTb3Rh30KIGcfg8Ykcr0/XmCq1iUfGyYsJWss3aJsZWn/+FaLvSjH06MH7towzTZPBwUEGBwdRStFut3tp9EajQSqVwjCM+xqr2AibRdrrSfXU9VX+9C9eRy0u0jYT+FoSXVfs9ct8sHaV1IHd7P5//DjZvjwqipj87T/GubjKHmeAa1YRhCAWGitmmnzkItEwCYk1gSdMEjLCNSyklMSaTqwLQMfUwNIF9UDhKEnSAkEngm4EYFsOroBiUqfph7x0cY66L0mLBBYWg1mLdw1nsQyNpbrHct3jylJMaOrINcUjh4hYKNKWjq4LWn5Mf8qiP6xyvDVPUXpkY59XV1pcWWzwnesRKcdgvJig1PA75QNd4+pKm31RDVtJjriLnZGu8SFEJkNuzcd1te6TsDuL0u5CLvUmZf1brRajo6P82I/9GD/2Yz+GUoog2FoJVNd1Tp48SbVa5Qd/8Ae5ePHiAz7aO+NtR6phGHL27Fls276ndO+t0HV9SxfH931Onz5NPp/nxIkTvQc2kzBJuSFmtULCq9Nvaow48I5nDmxKRt1Ispg0MDQoXjlHXvpIIL1ngnymM8pQKpW4ePHihmbiXaxvKOrurytyULp8Hf/SizSEzayV5ZpZwAzaDPSlcR99GDeIsQ0N149xTEFYmkKknA3lBu8VmqbdRqqzs7PMzMzcV/10I6wn1e6M8sGDB7fd9HQn8h3JO3z6PXu4utyk0gp4/UYG7YaJU/URyieOAypmkvlI50t/+GUOtyJUYYLxYoIbqy0uzNUZ8Go4X/wdfMfC/qmf7G17fURwK8mN5ROYoyMsRhH6wgIjYYP4xW8TpnK03vV+Wn60YdfxSN7hh0+M8ldnl8klTM6PvZ/ygkdf4BEIHf+lV6gKi/To4I5ZxgkhSKVSpFIpJiYmmJyc7DU9TU5O3tQRej/6u3dahEgp0YTg4l9+g3//ao2ynkBLjVCIXBwRMRHWmc0O8/Df/V527x+mHsWEv/dHJL76ZTBSTPY90ZEMjQOahrWmepTA1SKEgEwU4KNjxwEt3cYVOlid51anUwKNJCAlgojhuMGqq9OUa7VO4Gm9Ss3OcCSV4pqTJeFYrKy0OLUUE4YNZldrHCjqGHaKY6MFLhg6i/UATYBquBgyJtQ0Qj9iToKnPI6O53hoJM1rZy2uO31UY5d9oo3nx9S9mGYQ0wwiLi40sI2O84wQ0PRC1PI8lopJyZC0DNCPHgU6i7Pju/M9I/b0mnZw1jG4dHbm/m+YLaDVajGxbtxPCLFtYYl8Ps/zzz/Piy++SLVaJYoiDMNgdnYWYG5nj3hzvOWkuv6B6zaa7N+/n+Hh4R3Z/lYi1a77ymZdqbmEiTe/yPnkGAJFcXT0ji+KbiRZ92FAxgxcPEW/61LXbEbe93dJOwbXr19ndXV1UzNx2NjdZj2xtj7/57yUGMEVBpetPvLSpRgGmB94ju86PNjzMm202sxcv8Tu/ZuLZNwr1tdUu/XTMAx3ZEG00b6UUr3a871mMTaLrtdHRe9+qJ9Liw3OzjaQDx/BujrJd02/3oloogQTQZVrZpZX/uSL1B4/jrVrF24Qg6MTv/QShDHKr+H/77+I8fz7gFu6V29J547kHf6n53Yxd2SAga98noHlFk3N4kvfmeJa8zRaX9+mXceOpbOrmOil78pHHuXQ1dNcawtKWoL0d14j/V3PAUM8KGQyGQYHB4GN9Xe7XcXbsfa60yJEv3ED8b/8O67kHyLKP4KGwhUmSlekZMTgo3spBYIzlYgv/9cXKMzdQCjFeHo/i2aaqrCIlE7JTCKFIBI6tgwZDFukY4+EikkqqOcHqMbrFyMxCoUZSRwVYcsIiaIlYwJdEOoCpXSkUFQbAXZjhYWlWaThsHs0SzkzTqwZLFQVc22dWqzRnwwJgkVans+Qo7EUaeSCOtnIZ9lO48UxMQbVdsBc1cUyBG3NpC9q09IsSqO7Wah5tIKIYsqk7kY03JBcMUEYSa4ut6i2Qs4vtTksdLKx3/kOTxwHOvf9C1dLuH7M5GqbDz06xHgh8aZKB97rnOrKygqmaZLP53Fdly9+8Yv8y3/5L3n++ef5oz/6I37kR36Ez33ucwD/fccPehO85aQKb7igLC4u7nh0cydSVUpx48YNVlZWeg0uGyGTMDlcnqQWeoyFTcKhg3esp3Yjye8EKzwk6qRaNQCyuTT23glef/11kskkJ06cuGPEuJG7TXef0dWrVG7MIhNDCAUlI4EdRcyMHWAx3ceja5Ht8vIyK1NXeOrY0Ts2P90rut2/O10/3QyLi4sIIe7LcH4jUt0oKhrNJ9jdn+DCQgtr9wSNZMjTp77KyeQIs6kBTqfG6QtbRFNl7NjCtRwWwxbGI0cof2uKVOBDrU7/H/4R8vHHyYyMbOCB+QZG8g4jeQe16+MEboX6xSnamkni2mX05FFcP7FhCnc9WSdsHc00uPTUd3H11QvYoY8euwTf/Ba1hwbJjBXv6Tu7E26tb96qv7u+41OujTUVi0Vyudwd7//1YzIJu2NwUJueZ+rf/wrtWoOEZjEUNmlrJg3NBAShlSJIacy0JFm3gXHuW8ykJphKjNDQLAJNx5Axnm5ixRGR6DT9KCAnPYbjJpeNflb7RtANDSeO0FsReqwIEaQiD1MocpFP2UgQohFpGjEarmah0AiFwkARIxgNaniayarQWZ6cJ0qFNAaGCWJB2jbQdY0InaGhAcJIMn+tTN1vk5GKGSuLRCNAxxAAAlsXVOoeQileTo7iayaj2UGWGz5KQbUVYhoaj07kkLEinzJxg4i9UY1WUGePX6au24jhIZJrfSrzVZfLC01SjkGr7HJ0PMuh4cyOa6bfCfeqqLSwsMCP//iPE8cxUko+/vGP85GPfIQjR47wIz/yI/zsz/4sTzzxBMCv7fhBb4K3nFS7dbFEIsHTTz+94/Num5FqEAScPXuWZDK5aTq0m3rN2hpDk5comsO0NJPk0NBdU2mZhMlw1iTxyumeglJ6/0PMvPIK+/bt21Ikfqu7zfp9lv7iC7Q0k0DoVHUbIcAGvLFRpFRb1gq+Xwgh8DyPV1555Y5p7PtFGIbMzs7iOA5PPvnkjpP2RlHReCHBib0FpISxYoLV0QxLCcWxb3+NVxIjJOOAoajFrJUlNTNN4dEjrFop6laaygeeJ/0Hv4MpFSIKaf+7z5L85z9FZmzsrnVNoetYn/qH5P7dL5JshsyJDOLCFfoLCVp+kYYX3bSN9aMmuhDMTE8TmhbWnl2kr1ygodkk3QaV3/sjsv/4kwjD2HaX8r1CCEE2myWbzd401rS8vMyVK1ewbbsXxSYSiZuua9OLqLUjpJJoUcj5X/4NLqz6TKcO4tkxE3GLh4My/WGLyHaINZ1IQuxLqpUSTlDndHKYqm5joPA1AxQYKJAKnRhDGUjAkpJhLSR64jjBYgPletSCiJaShLqNQAAKPY5ICIWrmfiaQVIGROhIXSMW3XeIIhkH5AlQQ8NIL0RvK646fRhBgFpZxcj3E8WK5bpL2jb4wtllDg2ncSOFVBoVK4MmFLv8Mte0PnRhgJQsVlrkRUxaRawaKVqahRvZxF7Mcwf7qLUDHKtTkxWaYCTn8M0rZcKpVXwzS5jU6Y/bpA88yvO9+0h0dBMVnT/pXINb1ZQeJNrt9j1Fqo899hivv/76bX+/b9++W20//Xs/uu3hLSfVlZUVxsbGGBp6MKmpjUi120Rz4MCBTfe7PvVKpcJTQcC7gmkahUFGT+zZUnOPpmk0zl3ipdQugjCipvJ87KEjDPfnt3Tst7rbdPdZvTHDV280cJ1BGsLiYW+FpAxh3wGMsRwFO+TVV1+9q1bwTmB1dZVSqcQ73vGOTSP9+0Wr1eLUqVPk8/kd0a/dKFLdLDU7mk9QSLcoNXyurbThoWNMxzbVi1ep6A5LqTEG/SaDUZP4zKusHDrByIFhSql+Hv5Xe9H/v79EtdxgpdIm+f/5N1j/8MfIHz68aZS23pYs+vv/gGd/5T/xSHWZlmZw5ts+X4x0CvkE33+LgXq32Wq24mJogsNjWWpuROGRg8jXT+GomMtLLud/54tEjz1OO+jMc374seGeK869Yjvdv92xJidTIOWGWCokaNe5evUqnuf1dGSNRIa/Pr/CQqWNtTjPzPwSK5FgzhnAVJKyaRObNrXxvTiFUTLtkJYboHyfQqtJxXRoa52mPUtGaEKgyxhXNwiwkEpgKkEi9tFti0wuSzswWLw0R0V0DLxjzcKSIbB2vwgIDQtfxehSoktJIDpjNUJ1FI10GaGEoC9y6Q9azJYFy4UxMn020eIKbdMkQMNyWyRSRQQmewfTLFV9VhsBDS8kjCWRpqMjWTUz5GOPkeEClmlSa/k0l0qU9AxOHJKSHsIyCaXEDSL6Mw7v2F/AWbMurLkh+1MQL13l9cQI81aGKNIY37W7l/UYzTs8NJyi7ceMFZ2OcARvrkH5/1BU2kGMj4/fl+LR3bCeVLtdxQsLC3dNM69PvS5eWaWu2YxGDQp7h0lucQTFaDaprVRp2xbFuE3y2BPE2vYixls9QwGmvvwtFo0Udd3GEwaWiHm+PYPz4U/gSp/ZyTmOHj3aq3E9CEgpuXDhAq7rMjAw8MAItWt199hjj1Gr1XZEcnIjUr3VKmu9S8x7D3Xqq0oIJooJrh44hO+DvdjCx8A3TPbUK9QNh+DKKezRFAthguVDowz9P3+S7/ynPyJhO6BiHvmDP+XChyPClE0hk7gpSmt4EX91dolKK2Sh5nF4OI393X+XZ//017lGmlcooM5NEhf62dOf4rmDt2cFOtkNaHkRD42kOTo+RqTVuPjyefqiNhem5plUWcJcES/sfJcff3r8viLW7Y7U3J5qH+6JA3R1ZK9cmKR6aQVxfZ45O4+tGRSiNqcSw4RCI9AMshNFqraDHYYMzF9nWClKeoK6btLSTDyzE0nGQkdDYamIpB/QsBxCoRNYDko3cGKPymqVmgKlBErX0ZTqzHMqSYhCraVfLRkRazptwyAUOvHa79gqIlA6QihMGTEcNmgLk4vOIG0fZBzhpAeQntcRhWjXmUgPcLXZyUTphuDdh/pon4kRAhqBhyElvjAo6EHHeNxXxMLA9HxsJcnGHg1hEkUBQ7ZkpSwxCmlem4LHdxXIJTpmGPaNa6xqJo6KSUmfSt8Iti96Kl1di8Fb7/03y6AcOgvnTOZOU/9/c/CWk+qDRpdUu5rBpmneVfoPbk69qnKJrFwr7u/ateV9i6tX0etlzOEhvD2HSdjOfXdg1uttXr68whWrSEVPMBC3CNDQnnwS3YpZvj5NsVh8oITaHQMaGhpifHy854ayk+jWu0ulUi99Xa/Xd8QQfTOst8u69e8PDWdYrPm9uuXi+C7arXm0tktds/i9wqMMRU2m7ALmyzcwh4dIWjon9o5Qf/JJxi+eZk46vJjYRfbrZzDf/zyHx8fxWzUuX75MEATUVJIzMzGmZbFU8zgymkEUi7g//COU/+TL1HQbGWiElSbfulLisYnchm42Rwc09u3J9/6//ne+iyvLLUqTU2iAWlpG6hZOJo1S7Ig61HawWQNSK5C0cOg3k2T+8JcpJ3azZPehRwG+ghedESIF/aN9LHkRbizwr01ztD5DSU/SMBxSKqSkpzFkJ7JsayYKjZz08YWBMiSxYRKjoxEjPY+aEMSi0yWroRBSYRPTEhqeMNEUmEQEwiDQDHToEKrovENiAbvbZZbMDG3NxFERJTNF20kTCh0lBFEsaAKaaUCosFRMoV3hH7zrUWpuxIHBFCnb4KUbFcrtgAiNWNPRkKwYFjk3ph0KBhOCtgpRQkPqOvbQIHsnBrB0WKy2mSu1uDBT5sb0PMOFNB841Mez3/k8i2aGpIxwhUGjr59cwrxJpWuje//NjFTvNf37dsRbTqoPemhc13V83+fll1/elmbw+tSr/heXScrOWI6+Z2Oz7luxsrJC89x5Bkx4PljEP3CcgXXdu/eKqW+/zpSWwolDynYfMYJmwuZQf4Gh1VWOHj3K9PT0fe3jTqhUKpw/f75XP200GvdtUn4r4jjm7NmzWJbF8ePHe6vl+/Vu7eJetnNr3bLuhshUhlqsYwYeNSOBp1s0NIuhsEHf4hSV0QyrDZ96MsfS+76H4JsvYgcefX6D0pe+gj/4PUw8sp+JiQniOObVKwv4/iJeu0m7DVMLq+wdKlA4/jiDCyWSlyM8YWAGLvHKKvPVEUbzidsarBKm6HlnQset57t+7HtY/U+/hpi+ytfSe7i0AHbmIAlLo+XHXF1qUnVDxvKJbaeDtxupbpRqb3gRXzszT/itb8PcLM/Fikf8VWpGgkQc8npyhGZhhNjQWG5HpJpl8tPLTCcHOZkcIRQappQMR01QChAYShIJgUARCQ1hmTimie/5hIBEEWo6lozXSokCpMRUilh0aqiCGF0J0jJCqYBEHJK1NK4bGWI6L1CJxnRmgHYk8IWBq2I8YVKUHm3TQMVr0V4co3SBUAqJwm22mKt6vY7u2YrLY2NZ+pTHV8oxntYZzokxiQBdF/RXl1BhHYBI6BgTgxgamIZOfy7JUk0nnXN44kCBlUqTqS9+lV3lZYb1EgV7lUv7Hife3c9owaG1thjbbEH1Zkeq/8P67W8IFhcXabVavPOd79z2SiiTMEnbOo25ma5LEtpdItVug9DCapWkJ3ANh34ZMHR4D8YOzAlGp84gsFCaRkKG7Akr+JpBMDjGY489TLvd3nGS66IryLG+U/p+/FQ3guu6nDp1ivHx8a4SSg87Rar3ivV1y4G0zXsP9/P1i6skax4LoUJfk45bNNMsIWievc5yK0KFkrKZ4tHveTezn/8K82TwY0H067+B/J//Edru3ei6zuE9w5xoCtp+zJE4Yl8erKjKxTOLmIcmODF1hkstg4ZuUZqc55VTOU48vvu2qG8jZLNJMv/kx/F+4d/y4eoVnmwv0Gaea2Pfz5fOLnF6vsFw1sY2df6n53Zti1i3S6q3ptrTlsbUX34F/2un6YvalIwkdd3GR+eK3Y8q5mkm8+QtA+G2CBeWaaIxnRykbtjsaq+Sin2mU/1csPuRQmDIiKwKyEUeQTqLazg4zSoNzyDUHdBA0LlmupJIoaHJTip3zKuyYqdR2EihgaFjWybvGNO52LJYcRW6FyJC0HQQEtrCIDJAEWMEkgioCAsdRYxc43kNBbR0mxmVJ3IVy9NVhrI2x3ble9KTzvVrpON0Z9pVKNBM0pbO/uEsu/6vP2c4bHImMcwVu4iBwe6UiW3q5KVB0jJImBp+LMhlU+w/f5pUPk8cx3iR4urgBFdvLHBtzuTwWI6UWdj0Or2ZkWocx28LfemdwN9aUo3jmPPnz6OUIpVK3XNqQa2uoqLOi0rL59HusJ1uJ7OZzFLRBpnyLILcQY6pKiOFYWS5fU8KRl3xfFyP1PVLHEiMsawnWNSTrEiLwugAxw/vQQix4yQHnRXr+fPnkVLeljrfSaLrzgs/8sgj5PP5236+k5Hq/XxH3UgraxvsH0rjjKRpnZuhqRloQqHodFJGzTaL00skcg7luQbGrhzJd76b5rdeIh24nNQKpP7Dr9D///qnaOPjd6xt1et19O+W9P32X/KyM04udrn68lkO7y4gNG1TN5ubzjubxf4n/xj17z7LgaDMlRLceOUC3q7d1FohI3kbP4yZq7rbjlabfkyr4m67ozi+eg33l/89Sc1CS++iZCTRUJQ1h98bOUF9YBiEhhHH6NcnsYlJxRKldDTDpI1F2ckhwiZWFOEaBpnIJ9R0+vQIc3iQg0uTBEFIWzO5bPejAxKJsVYL1VEoKUiqgFzsMWDEzDtJfGWi6JjMR7bBijCJiTE0GMg56EowkLeZLbus1AM6gzk6vpVAj3zSkYseeLR0G03GtHWTBOACrm6wpAS1kssr1ytMl9ocGc1SSJqweIPHnH5eTI4TCAsTkFJRn19l2UjT0B2ebc3w2Lsew3hqlNF8gqYX3SbekDr5KnajCggM3SDqG2Ls+BNMaIKL81X6zYBrF8+iaVpPrCOTyfQWSG8Wqb6VC+UHgbecVB9E+rfr9DIxMcHY2BgvvvjiPW8rnp/v/bd2B/3h9Wbivp7i+rcvkYoDzqfGaaVHqL20yMHhNEnLuEnE4W5ouCF/eXqRi/N1/JUVhtP7eK45TSlQTPUlkGYCo+8NGcCdJtX1Vmq7du267XrtxP66LkQLCwt3FMN4K9O/67E+0npid54Xr1UwHxnl0ukbJMM2bc1ACo2GbiFbbWxCglwCIaCdTOO84xnGvvFXlGKduh+T/sV/j/PTP4U2OrphbUvTNPL5PPljeSw9zaU/fgErljTbbSq//VvkPvphZqsG+WyKV6eqdxRB13btwvrRTxD8xm8iFMhKGT2ZwA0TXF1skXIM8ttc9LX8mJOrdRwnvE35aCOZwYWqx1+/Oo3+za+RaDV4bq15b59fpqw5tDWLrzz3UVptjSiMKJUb6HFEQbPZF5So6EmWrRyaglzsk5QRaWJKholr2DREEnQBQZvM/ApJ1+WZ5gxn8rsJHINA0xAIlAJTdsg1NHRCw6GdyJHe389jfsTFxSYtL8KxdBzLoB1KhjMmhtn5bMoxePfBIl84t0y1FRJJhVBQSJv4TZ+a6jRE2XGIIWNMzcCPBaARo6iik2gGlNsBl5aavD5Vw2375FITGFJiK4XuWAQKpioBy6vLPGRlmQjqxELjyAffgbDtzvd5fgWhFBfmm3z3kQHG0gbuf/tDgM5In25jf88HCRRcnm2AMHCtFIceHcLWZM84oSs5WSwWCYLgTY0e32z96K1CCPFloDvg/TDwSaXUH2z2+285qe40FhYWuHHjxl2dXrYKOb/QmzPtGxzl1qz/Rh3FDTeE0ioLVg4FFIsZykqRsHSkUncUjrgVNTek5Xek05bKLRpmEaW3mRAVcrpgPCdYStjMVVxGCokdJdVu/fTw4cM9E+Jbcb8E1Y2ClVKcOHHijivjtzr9ux7rU8H5hMHY/kFqzZDylRvUhY0UEAgDkxi/0qCmZ7i6aJJ0DPYP5Kh94HsJvvI12p5Js92k9e//D0qf/DSir4/RvLNptDd2cJzDjx+k8fIrTMiQR2vzVKZnEKkJSssLLESKfZmIWq226fiR8eyzyMkpMt98haGwRWl2hr7RgwzkHUxDJ97md9zwJQrRS0HPV11StoEuBK9OVXH9CC9SfPeRAVKa5Au/+2UmF2pkpc6gMFk00lxzilQ0h1d3HSPdn6XcCrFadco1D89wMDSDBT1DW+gkiciELnUrg5IBnm5QCFyuW3mEaaNFIXEMNT1BO2ETmjah5VDVE6gowhAGhgqxURykQdg/xKS06M/YZGwDhMDQNPYPpKi1Q0xDZzRvY0kPJbSOdGCkODyS4uh4jpVGQNuPWWn4gEIXEKIT0lFb0pG4holUCilAUzHa2mWJgbmKh0KQdiBcWmbVTCGkIhYaiaSJ3wwxlSQpAyp6goQeMb3vEaiGNDyXr11apVT3aUeSjGMghOLDzes4YUhTs3ghvQuZSmHn9rC/mKDtx4wXE72a6nghwfDwMMPDwzcZ2S8uLiKlpNVq9Yzsd1LX+W8KlFLfBSCE+AngeeCP7/T7f2u+ofUWY/ejtnMrasslvpTeS1uYZMUA37de1WjNTNwwjJvSopmEybv8ea63ZrHsPijsRxcCN4hJWsa2OoBzCRNDE1xbblHzFT46sWGTTNj4wmAmO0xCCMYKO1fj7EaO8/Pzd4wcu/u7V6LzfZ+TJ09uGgXfirdLpLoe3VRwqeEzPlrgcDLmGyen8TUDTSl0GRMDyVYNQ6XZ15fkxN4iUOB0+G6ufO2rnIsH8YXGzJ98G+3hhzm0p39TE/SMY/C93/skq948qW98lbQMaX/9a5Te+fdQyTwYCkMvMz8/z8WLF0mlUr2xnfVaqt5HPsrJGR+z1CREo29ljuGxh2lrOt3h/60ibQm0sCPC7seSV25UkBICKbE1jaWGT6UV4M0t8PQ3/xTTGSRjpinpCWIgF2ep7T6Ae/Aw0XyLAVOyPDuHkDGR0bmvI9GJ8KpGghqCpPAwVIyhYspGkkvDB4n8CBX4IDRY6+TVVUxNT3A1OUwy8gksG6FA6AamKdCHR8klbFZKkpxjkElafN+x4bWFhUAX8OK1Co4haDd8ju/NYyZzgGI03zm2I6MZ5qsuXhgTxYq6H+AjUFrnOW8IC4TeqY8i0IlACWxNJ5kwSVkGpgHlZkANE6EZ7A5reLaDZeqEZkhfZRFDhuRDlyUzxfLIERb+/ArZhI4bSAQglaIvY6GimIt/8XVGjBQLZoa2MBl86kkW2iFjxQTFtEVrTUT/1nfReiN7KSWJRALTNHs+u5uliu8Hb3ZEfC8QQnwS+F7gY0qpO871/a0g1Xa7zenTpxkZGdlQIq/7Er2XG2Bupcllu4+UDFgMHeYqLg8nTJrNJqdPn2b37o31dFOrixwIyhRaJeyHvo/3H9zb8cfcZk01kzB5en+RyWuzXPFaYOhMJftJ+4qD/ire2DE+/NQEIztEqt1aNLCl0aN7rU92BTi2o8K0HTJUSlGr1chkMredw06SaleM/EsXlskmDOr0kxuo01ou09Bt2rqBICRUGsHMHGoiz2je6TQUFQqYz7+X5a+/hC8FCa+NuHiOVu44Nbe4abSacQzSP/wR/MmLyKlpYgl7Lr2O9YHvphIogkjn8OHDvaijVCpx/vx5oiiiUCjQ19dHU1qEzz5H7SvfJoo0UBLn3BnGn3+uN/y/FTS8iIYveXw8QyKVYqXu85enl0g5BpV2iKkpbiw2cZbm0cI2B/RER4koDlk0Uiw7ORYPPUE9huRKm9JqGW2qRtnOgero+XbQ6UI1ley4ytBRMCol87QRxE0fS4ZYmoUdB1QNG11JAq0zc9rCoGUZaIaGY1qkUxYDaZvvf2YMh4DjqyUWy00G0z6mV2K4r49UKoUQgqFc53qVF11Gcg59feneuXcdimrtiN39SaZW28Sy+56RnePuddB2/l4pMIUikTCYKCY4NJxmd1+SL3zhNdJeg1mnQEs30fJFdvclUVqdxMIqSutIIkrLwkej4fmgJCnHxOroGDKUcZg+f43I7uPLmX2MBnWms8NcDdKYZZekrfPcgb433kV3qH/HcYxhGD0ShQ4BbpQqLhaLd1x83wmtVmtHpWl3GkKIHwZ+FPioUuquZnhvOane70qnK3e2WXMLdIime4NsF7JaRdCZ+RR2Rw6wm2I+evTopgPLcqGjUZuKPUb3j6EV7k0cQSlFuzRPYnWeETzsKMaOfaq6w+FETDRaJGHd3Dh0r/A8j5MnTzI6OsrExMSWtnUvJD43N8f09PS2dZ63SoZhGHL69Gmgc06WZVEsFunr63sgD+96M/HZUpt9j+wl9KtUSiUCBNN6GiMOiVseJxbPkXF2sVTzOD3XQBcm4tAxhi++zrLmoALJ2IvfIHP0B2h45qZygsIwsD71Kbx/82/Ihj5h2+XsSxfRJyZYCmOerXqM5J1e1LF7926iKKJarbK8vMziapXpVY3qrr0Url6kGLgcqpYYu6pTO/R9AHdtOOqSysJKyHLc5EOP52n5cU/yTsgYOT2DqoUIKfGExivJETJxyKyVIRqfoGE4qBBaDRe/USGjFA3Txo4DYiEQQseQXS1dUEKgK0msG2iGjR/5xEInQiCEiaZiCnGbpAwZClvMmSkauoNvWSgMko6GrgmEEiRtndFCkrSTJZfP8VTCxBIxpVKJycnJniBBsVhksFjEM283RldSrTkUtWm4IQpByjKIPZ9QaWs82olQOyQryMgAbJti0mI07/Dhx4apt32MSpWmle4sAnQL29IJYol/dY4VK0+/dGkKk3B8L20vwjE0NE2QtHQODqV576E+qkslEtfP4siIaQR56dE6OEHbfEMPOFbqppGrTe/rDRqVLMvaMFXczRLm8/ltp4rvVUz/zYAQ4iPAPwU+opTytvKZt5xU4d4iByklly9fptVq3VXbtisAsV1SVUoxUlnkgGPQ1gwKu/I0lmdoy+A2M/H1Fm2p2Ee2mp1mCF1HbFKPvBuCIOD06dPkcjl+wCjzpdADpbhm9RFoOtVCgccjuSOWXt3O2yNHjlAobN5mfyu2c+2618zzPJ566qltX4+t7Ksrabh3716KxSJCCFzXpVQq9aTwLMvCsqwd6268WdDe4F0P9VObeBcv/fb/zcU4AUIwHtXY61cJvrbIhT37+WrVIAhjUo7B3n1DnNj3DMEf/jEi7sxaBv/HAi9974+inMSmBuPa4ADWJz4Bv/m7eJpJUK0TOFWw4UsXlvnoLVKGhmHQ399Pf38/hw7BroUK//21WVr1fuqT1wlbDb54apGUc5LMwb13NTXvkkrOEfih5NJig7F8goeGUzSn5hCvniIQOkN6gqZmU9dslC6YHBxk2UjgtiRx6GFEHpoCT7cZiNoYYUTZzhGKNUcaYoaDOlLTaAiLOJ0harsYYRMXAw1JLDRiIdCVYtVMMxbU6ZNN5hJFIi2JUGBogpxtkE6YPLu/iGlo1L2QV6eqNxspjI4yOjraMwMolUqcPXuWdruN7/tvGLivXfeWF3FgMImUcHauxmo1oBV3bNvWrhSgMKUiEbfRNA3PsAjimKYXcWa2zvjX/4JIS6AQHWnF/j40Ibg8VwWrgGs6BL6OsC3ef2SQa8ttsgkT09A4vjvHgaE0Gceg9N9+lxkV4WoGEsHsyD5WjRR6JDk1VeOhkfSW3xd3m1NdnyretWsXcRz3FLG2kyp+O5Mq8DmgDLywdvz/QSl1R3H+twWpbhfdjtSBgQEOHTp014hqO0bl69GoNKhJjWfbs0SGxTKr9GWH2LPnyE37vNWi7d1Os5OsEhCtvdi3i2569ODBgwwODtKY/c98pN7ktDPIDatIMWrTTIyzfzB1X4IS3UarxcXFu9ZPN8JWz627QCgUClu6Zpvt606kurq6yqVLl3oZhK6PbiKR6M29SimZmpqiVCrx2muvYZomfX199xXFbiRxGCtF/rmnefyLf83XjREcFSOA884A1b94mVPjR7BMnVo7ImMb5J85xOA//GH8X/k/QcbMV5r4X/4KI9//PZQibdMhfePZZ2ieu0768ip56TFVKmP2Zai3I+arLoeGN5d+6y9kGCjmWPX204pM/qw2ghkFmK9eRDYCrLDOc4fHiDWrZ5QO9M6zSyrLrYhlv40ba9yYXObwn/1XlpTNBbufy4l+XGESCMEQPu1d+6n4EhVJEqFPM4JIadgqxNUtVvSOwXh/2KKt250YT0k8oZPNp4hjDbdZQ5cKpenomsKSHbeZGMFg2OpIGNo64uHHSLoGbssnjBSxVOi6RsYxsHSxluERm9rLrTcD2Lt3LxcuXCCZTLK0tMSVK1dwHIeDmTyeluTVmYCXr1eotkLcdgBCILrjVXRo1VEhuqaTEyGpjEPNjTgz22C23ObIXMh+6ZGRIXVhovJj5JMG12fnGG6tcDU7BkLgjI2w0vDZN5DsNX91x5/iixdJnHqd5zSLBTNNKDTqBx9HjwVP7Smw2gw4Op7b8sjTdhed6310Yeup4nsVfpiZmeGTn/wkS0tLCCH4zGc+w0/+5E/yr//1v+ZXf/VXezaeP//zP8+HP/zhbW8fQCm1bYeQv3Gk2n1x3qkj9VbcC6k23JAvn5rFTQyhophH3BkeP/LQhvu81aJtbr6EbmRI4xLlctvaL9xu8i2bTWSlTBoYCNuYdM5FJJLcT/Y8jmPOnTuHpmk7alx+K7qG4gcOHLgv+cTNmqK61oFLS0ucOHEC27Y3JV9N03qr4r179+K6LuVyuRfFdtNXhUJhWy+UW0dhcgmTMJvnwp7H8eYrVIQgLQP6YpdcvYSo1UiPDjLveiDoSMYdOkziU58i+NVfJRv7aLUak3/2ReLn3o0uNs8e9P/d7yf5S79Df7vNNatAUG5xbr5OLmluaGzeRc0NkRIGsg7NvbsILlxBE5Ir1iCJRZevOg1i7wrXVj1sx8FykiSSDgnT7EV17z3UT31lgaW2pH72AtNLFUrWKEoILtv9SAS+piNTacJCkpStU2k1ieot2pqFEnItjtPQlSS9JtgAAle3aWoWUggaeobVVoAdtGmbCSzCNTEFgYbC10wUgjk7h20YZA/3gyYImw0EGvmkoOlLhvMOhq4xnHc4tisPwJWl5oYetxuhG3UppXr3zsz0DNenXcJAwxACM/Tx0RFKoImYmM59GwoDoSK0XJ6Jos3V5Zhi2oIbk/jCJEPIfr+M+/wHGBrOs3rhKvWoRVu3kAhayTRhqJiveBwaydLyol6ntgpDyr/xO9TMDNnYJyVDskceYmL/IN++Wma1GVBMW9uql9+votLdUsVd56lsNntPpGoYBp/97Gd58sknaTQaHD9+nA984AMA/NRP/RT/4l/8i3s+9vvB24JUt5LW6yoVVavV3otzqzAMY9ukWnND4rZHpl1lGRtrz4FNSXy9TnAQSU4vtBGJITSl2L+NUmp3vCSO45tMvmvXplk0MmSlT0b55CKX2USRdCrB1aUWB4cy245Wu8pFY2NjTExMbOuz28HS0hLXrl3jscce25EUz633yfqRnK0uDNbfb4lEgrGxMcbGxpBSUq1WKZVK3Lhx46Yo9lZbsrsh4xgcHc+xWJ1ALS2QDEN8TaepLDLSp1heoplKYOoWdS9kqepxabHBocOPEn3yH1D/r3/EmF/j260s2W99i1cT7+W9j41uSJDZXIrnf/i7OP9//i6+0FmROpkoTSyLd5Sh6yj46FRXWjR8CaNjWNcvkZQBj3rLNEoa/qGjZPoD+hy4tlhhYaXMeE4n0pPM9xk8NNbHwNIMVy7WUCoiNBL4mo6vGTR0m0YijZlMogmFpQuSszP0N1yamknbNjBlRyowUnFHbUiYGLrk75XO8PnsAa7nxvBkjIqjzpiKlQZUZ8xGRkhNJ1CdiFDoYGoGhYyNH0mEEBwcTlFqBiRNjeVGJ8IOY8Vg9o2xpTt53K7HepIRQnTMMVJ9PHKknyWWmTu7RL3VIqTj2appgmQcEGodnWApwBSwb3cfgez0L82vtsijMRC1ONGeY6k4zBXb5i9PLhDPlLHRgYi+oEU81FG6Ugrmyi6FtNVbBMz86Rf4khjBSsYkVcgxbxHzkUfWGSvk7jiqtRF2Uvxho1Tx+fPneeGFF3jhhRcIgoChoSE++MEPcvz48S3tt+vZC5DJZDh8+DBzc3M7crz3g7cFqd4Nvu9z+vRp8vk8J06c2Hbq8F4i1aQpWJ6bIaEnSVkWxczmK7z1OsFNL+LMWY987DKnZ7huZzm0bgxnfe11PRG6rsvp06dvGy9puCFfOb+EnxgiEDoCMJXCcGye3VckktubewUolUpcvHhx2/XT7aC7CKrX67fVn+8Vt0aqXWP0wcFBdu/evWHX90bYbBG3vgYE3BbF5nI5+vr6thzFjuYdhvMO10bGWFmuUgja2DLica/MXr/My3rI9b1HmS/7zJV9LFNjcrUNxgjxez7KqbPT6FISt1ysr3yN2sRHyIzcfr0aXsRSfhjj+JPkztxgVSTxp+ZI7rmz72/GMXjuQB8rDR83lBjZJNm9uxi+MU9dc5Arq8xfusG8lWfS0Dgw2Idtaugo3Hab5o3LzPzrX2dXO2Bh+ChNK82IikBBw8kwvn+ccqhouBGWitGvXMKMPFpOkQAdhQZECKUoxh5tzcRCko1cSnsegvQ4rLZQ3HoOonshsWRMbApiOtej02+rGMjYGIYg45gcHIL9AynOzzeIpeo0KK2L2DYzUrgV6ycI1jvt+LEklzSxDQ0jDImEiSkikqGLpSKMuEP+dSvJUNEhnbCYq3pkHBO5tMqIX2e3X+GV5BjNd36QS7MNwsUlkjKibCZxpMItDhIFMYt1n3fuL/L0/kIvC1G7Ps2XXpli2syRlT6DYQvtRz7Bex+5XZ1rO3iQikq6rnP06FF+6Zd+iT/8wz/kypUr7N+/n//4H/8jr776Kv/qX/0rPvGJT2x5e5OTk7z++us888wzvPDCC/zyL/8yv/mbv8mJEyf47Gc/+8DecxvhbU+q3QaaQ4cO0d/ff/cPbIBu9+9W0HBD5lYqzN24wgcHdQJZIdv2yaaevOPnuhZtDTfkrOcxZ2S4bhfIG0m+cmGF5w938vvra69dZaXNSK7hhlxaaNCuNxmKXa5aeYQS7A2rlJw9rDR8+tL2lhsP1qdJ76V+ulVEUcTp06dJpVI7aii+ngzr9Tpnzpy5r/vibtgoii2XyzdFscVikWQyueE5dmUHSwvTLOn9eFNTLJgZXk6P82xzBnyfVG2V7OgoSkEhZVFuBgigcHAvRk1hTl2jrtnkqzWc3/lN1P/8TxDrsjRdu7hzcw0CezcjmRpHZy+xyxYceGWR9Ht/8o7nGCtF2jI6dTkFhaHdPNeeIrp6Aw+NFy5D7rGj1CMYWtMGTpuC3fNniD7/VyykBmnJFg/X53g1M4GhFEuPPknJzFEwdJJIBhenGS4vM2NlmLQLRErQ1gw0JVFCQxcKFUOs6ThxwMrgBGdlnesrLUK6HbQdgXsQaEoihSAXuzjZDMpxiKREIEjaJt/z6ACmrvHQSIaUrfdI5cBQ+r5IZn2k2m3SSjkGr11aZbHms1xuEqOBUrQ0C2k7aFJiCskuv0peNjmxO4MRLnOlpaMtlUjLgJqR4MX0LqYG91Cs+SyWW0hpUDKzJGWAIyNkxmE8bTFRTPLOg8VerVzFMau/9fvY0sZREXNGBjkwgHXk8IaLhY0UrrZyvg8SrVaLoaEhPvGJT/CJT3wCpRS+v3VP8Wazycc+9jF+8Rd/kWw2y0/8xE/wcz/3cwgh+Lmf+zn++T//5/yX//JfHuAZ3Iy3Lal2rb9WVlbumwC2mv5tuCH/7cVLlEsVJibGedxxMaNG54dbbGLJJEzeHS9xIagCCi2R7qkoATfVXqvtgNXF2Q3Psdv81A4irtRjIqNj3SSAlmbycNHiyQN9jBUSt0Wp3dnR9Q9Et36q6/oDrZ+2Wi1Onz7Nnj17eqmZnYSUksXFRa5fv86xY8fuqRZzL93mt0axnudRKpW4du3aXaPYmgczwqGRGcIIfHyhM1nMMxrU8EpVdo32U9Jsqs0AXRO4oaTSCkgM91O0I7wLl3mqNUuyUsX/T7+C/RP/BLHW7V5zQyqtkFo7JJKSpYEDHCmVMI2QfTemiL7yFcz3v3/T8+qmgFtlF4RgrOjw8Cc+ivm//69cqUlULNEvX4IDD/Ol8ytovot7bZIPVq9wufAIs1YePeWyS7VI7NvD3NBursw1iD0P0axiLC6xoJlcSe6ipZu4utmRRxQaCoVS4MQBnmmhWwYtux+7UYd2CeUMdazYhFpT1ZUgwUZiK5/xXcNMDGd4ZDTDlaUWUkGpFRApsDRxW7pzqxHpZlj/THWbtK4vt6i4EaHrEUcd/1OdGKkECIGmQYRGX+zx6DOP8twzB0mZgvLnT3Ou0aCpOVhKUsKkotu4ZRfZajEYtlCaoClMqsNj6FJxYCjNUM7piU4ARF/+CpmlOURmHzXNoWIkcIZ38eULy5zYW7zpO7jdx/bO3d3w5kgHtlqtXlNRd59bfd+HYcjHPvYxfvRHf5Qf+qEfAmBoaKj3809/+tN85CMf2dkDvgveFqR664ULgoAzZ86QSqV2hAC2kv6N45jvnDpPs+lz/OhDlFsRdTem2/oltpG+TDdrHAzKLJlpFvUEefFGA0S39oqSzFy/RCGd4MSJE7edY7f5aaIvie+X2R1UORiUaWomC0aGoYkc6e7DcktKuTs72t3mm1U/Xd99uxMSkbdCCEGz2WRubu6+Uso7If7gOM5NUWytVuvVYg3D6NVia74gVrBvIMW1KCZY9qkYCWIErYRJNvC5cWWWvccO0fAjsgkD2xA0vJD3Herj2opDTsRcOVVnMGqTvnCR4Ff/M9Y//gzCMHqm5F7UUdUxLAttbJDyaokFM036T/8M/Ykn0DbpB+hG00fHs8AbRBR/6h8y/L/9Egf9MpXIxpyboxUqVj1J3SrwqwMnsGQEmkZa6fQ9/jhlw+biYot2qFBByEoQYls5dBVTNWwkGkIqIk1HKIUuFBJBKAz0lMOgqViqttCk4rJdJBaCUHTEGwwkztqiMpdLge6QySbwghipYLyQ6M0J7x1Icmg4s+MesUopmn5Mu9UxDji+O89f1BYRsWS15uLIEF3ojHsV5u0sTexOI5UC+voIc3l00TEHT73yMoNWAUMJBuIWy3sOETRj4lqNAJ2WZjIcNSjl8ugYpBBMFBO840DfG0YL8/OEf/zfSAN7vTLXrTz7JiawsgkuzjeJJRTTVo88N/OxfavRarXYu3fvtj+nlOJTn/oUhw8f5qd/+qd7f7+wsNBb0P/Jn/wJjz766I4d61bw1n+jt6ArTH/gwIGbVhz3A13XCcPNhTB6ikx9QzQsi3IrQhOCrBat38iW96eiiLQMeFdrmlPZw7x7nYD+84cHmC/VmL12iT0H927q77q++SnhtjgYlAE4mRjBFQZfn1M8lFpFW1uQWIbWSymvF2ToppbvJI5xv1ifVbjbzPC9IooiLl68iJRyyynle1XR2i40TaNQKPRS9+uj2ErDxVARDc9nuJCg5Cdp1lqEmo6vDFJaSDOA+aklgnSWPcUEmqHRcCNem6oxmLEYf/ZxJmXM1deaHPDLpM+cJfi1/4L1jz5FxjH48GPDgMCPYhZqHjfkBH2BQVJGjDSa6L/7e1j/9Cdo+vGGqb+uCft66Hv2UPjo3+HZP/k8X8gegJUlphIjtPQESggkEkvTMS0HL5Uh6wuGbY22G6Ba7c7cKODrBprS0YQgXBOF6PxL9qI5O5lABB61poeBRiFssWxnSMcBnm6SCH0KsUsrlUHPZjFsm3qjzfm5BoWUSSuQHBruZCwStvFACBU6TjzfvFpBIPBjyVDWIZMweaI5SzWEQuwC8Fxriqkox3eS40RCI6tCnF27UarT5d3/336PGasfTUkahkP/UJ5do0W0qVXadY9QCRzpE0chHiZJoB2EoN4Q5KjX26z88q+T0Sxamsmp1AjtXJGqliTdDEha2k36vhnH2NDH9u2Ae51TfeGFF/it3/otjh49yrFjx4DO+Mzv/u7vcvLkSYQQ7Nmzh1/5lV/Z4SO+M942pLqRMP1OQdd1PG9jMYxbFZnG10V91pyi96ntRMtrBJ6WAf0JbkrPtutlStPXePrJxzZVY+ri0EgapSBbv0FKBswbGSSQUBHSMEhYOuVmZxZzrJhhZW312a0hd4luu93S20Ecx3ieh+u6G0bcOwHXdTl58mRv9Xm/RPmghflvjWLjF76NcgxWKnXO+SZeHZzQJdAMYiWp6hbNkkvsG7T8kKGsw2DOIZcw8SLFbKnNZHEXPC5ZOn+W55rTpF8/SfnXfxv3B/8uuZTNx58eo+aGrNR9Pv9Sjaf2HaL2F9PUdZv0mbNc+tp3+FLcTy5hkk+ZvPdQpw49X/Xo6tjeSkT6k09S/9OvcM3KM2Pm8DVBLDQMFSMNHSUsTFvHFDFJSyOxOEO25hLoOi0MLNnxKQ2EzmDQoqpZa4IIqiOMYqcQOmitBlmvwUDUxBKwamaQShBpJihIqYhnd2Woju3hRsnFC2I0DQbzNodHM6w2Anb1pdg7kLzneulW0AoU2IKUY3DmaplKK2TuxjyF6QVSVp6S7pCRAatmipQM2e+VmTfTJIYHmKlHeKrJYKtEvQ0r6QSeMGhoFtN2kcfikF0zF3g1OQJo9MUuT3/wWapXaoRhgKZJVueu8XK0TKCnmXnxLFaUJMjso67bLBppCg/tZSzpcGA4Td2LbtP33Wie+u2Ae51Tfde73rXhc3yvM6k7hbfFtxpFEadOncKyLJ5++ukdfzHrun6blJ5SiitXrvS6U7vRVbfhCMBblzIW24lU131O6Xrvwl++fJlms3nX1OV6MQmhFCfWivZZ6aMBrjCQusFC1SVlGdimzkrdR1tLMy8Lwfnz50kkNk4t7xS6aWVd1zfUXN4JdJ1yjhw5QjKZpFQq3fc230yLKU3TyDgmTz11hNmKi7ywhOXHlK7PYgidhmESoxEhwA9pmTp1N2LPgI4C3rG/QNUNUUIwfug4S3FE/eQSLc3kC9c91O9/hf6njvGho8OMFxLkEiZZW+Dm+jAOHkA/Nc8pZ5Dfe2Gecr/AsQ2e3Vdgvurxyo0KZ2brADw0nOK5g/1k19KE8euvMfB//wmulWfRzOBrBoYCqWJ020IHcsmO32gYxFy6OM+UjEBomHGMNCyaukVSRVgqZCBuEmh5GkLD1ywM2yKOQfN8QmGQ1C0SYUxdOIgoIk2LVavjslPO9LEyMkAxaVJsR5hZG89yUQmD1UaApgkODKa27QG7XSQNRaQJ5tbqz8WoxZXpeWI9wbyVIxQ6VZLECBLEtDWTeiJHjIHX9lmpeUzWGxi5/YToNHQHkgm8MOb1kzcY1hOEwkRXkvrgOOOjRd4tdCYXVjm4a5j3PTzAi1eWWTh7g7mpMgfcgKaTQicmd/QgLWEwlLR4x4FO0aq7YFqP7XQ6v1lot9tvZ0WlbeNtQaqrq6sMDQ09kMYW6JBqFL2Ryu2aiRcKBY4fP775S3Y9EWvbeBGHb+xLGAa+73PmzBkKhcKWUpfrxSSmFypcsYocDMq9lPKCkUaMZJBoKODAUIqkZTBWSKCrkEqlwp49e9i/f//Wj3mbWE92Fy9efCCp1tnZWWZnZ3tNXEEQbFtneLPjeiss5HIJk2zK4dDRfUxXSkw3Y0I0DBkTaBqEPpGvEyd0ml5EtmBycbHJ8d15Fms+pUaAefwJTLPJ5y9WeD0xjL3ik37xAkNZm2O7C6RtnaMDGvv25NGG38VLs7NckElu6FlUwyVuG5ya1nh4JMOZ2TrzVRelYLnu4QaSuaUazevTpEOXo5m97PUqDERtfNMgRGAR0adBkOzcc27bx6isEBgWGhIfHTQTUyhcdAKlk1ExIMjGLo3EAJHSseKYKIhQKEJNo2wlaeuj6AL2+FUqutXR6DUsNA1WVqvsy+WRRZusY7IqK3zomV1U3ZCxfOKBEyp0zMoP7s5zdblJ2HZ59duXqAgL3TSRoqMLHAPLZopi7CFsE2l19JtDCUm3hdQ0fCVIyoiG7RBKBY0avtBZ1lMoFIahEVg2pWbAsfEUQ0aTY4cHmau6xH7M+OlXOZc9wBXTwYwDRgsWgRVjBVWO5E1E5CF1mytLTZRUXFlqbakpaT3erM5feNvLFG4bbwtSHRkZuYn0dhrrG5W6ZPDQQw/d1HG2Ida9wBuxxuRCHaXYsOP2JkRv1G+lpvHKK69w6NChu+9vDd166uxqmytLLep2kUtOH+9rTjIctUiriGzKJmObfOvKKrFU9KVtHOUyN3mVfD6/5X3dC2ZmZpibm+uR3a2NUfcLKSWXLl3C9/2bnHK2Q9pi7SW3EXm+Vb6s69NvhfARzn35EqEw0ISgEAc0dQsjdCk3YW7BY0BPUbeSBGH6prRdbddHUPUv45R8QqGxVPc497XXqD39GO851E/CFIwXEsxWQBw/QerbJ0GBEQbopsFg1qblR3hhjFIQS4WhC5o3prm0HGJoDlXLpBC1scwO8fU7UHZjBqMWRk2xYlkot4Vdb1A2HEJh4EgPXYC0LVqRIBaCWBPkpE9S+lzu240bKBQxbhCDJpBKoNDxhcA3dCyluGEXkJaFk3Bo+xJLCEqBYL7cJg5dBvMah3IxQ0nF/sH8m5J5aHgRV8sxp08vYmmK5dfOoryA2DZpaiaB6IwI6QJsGSN1AzdTwFAajilorFbRAB8dTzcIbIEwNMwgpBZpaJpJ3XKINUHLsBgAvjNZodZv02zEtK6WkLHk8ounKJppBsIWD3srYNsc//hHSKUdHBETtOtMTk4ytdpkwXUYH8jiSWvbTUlvJqk2m83/Qao7jQf9UHQj1ampKRYWFnjyySdJJLYgdbRGqk3N4msVg6svzYCCh0ezfO9jw3cVXPA8D7fd5tiJE9saPu6KSVxaaFCtNpizcvjoBGmdd7RmyWoSXWjMlNsgYKKYYHJuiXN1l+9+xwmuXr26Y0bl6yGl5MKFC8RxfBPZ3Y+n6q0Iw7CXRXj44Ydvujfu1WbuVrwVpLp+PjCXMJmOTcxkErPZZFAFHG/M8mpmHEKoZjNoyQRXajCcbDN15TzlRGcuVrP6yCYs+p8+Ru6FM9TrbXJhkz2Xp3Edjfqu53r7zCVMjF3j5K7eoK/dJkTH8RqM5kdZafgYmiCWiowuceZmuIFGZGaQQuBLwTW7wOrYPupOlrStk1+Yp6kslow01H10JJrh4IuOhq4rNSzHxA1j0Ews2Wn48zSDhQOP0a8kwWoTFXe64IWMiRFrc6idF7imfHTHxkknGS0kma+0OTSSIYwVeycKKKk4POSwOn2JmZkZGo1Gz0mmWCw+kCa57izwV6YlnlzBblQJA5t6Ike41s2bi11MJJnAZ8nJkCpkkEojmzQYXJ1jRurYcUxOevhotCf20mp7CK8jQwhgIMlmUvixYN9AAlPXsXXBagRtP2bv5Hmi0gxDYZOC6WEhsd7/XkYH1jVm5dOMjo6yyw35wslZFqst3PYKN4IFgqHOXHU2m70rYT5I4Ydb0W6379pf8jcJbwtSfTNQqVQwTXN7NVurQ5p1zaYdSFKOAQpafnRHFSNlWjQaDVqaRWhkCNT2b85MwmSskOCPSi7LRgZTSWIhMIgpipj37C1Qc0MSU4KL16YwDZ13vfsJbNveEaPyW3En9aKdIruuR+3+/fs37Px+qyLM+4UbqpvmAw8OpTtKP/sHWTpZYihscDCscFkOUNMczGadp4+P0fZiHh3PMpC1SWgSv1Xj+vXruK7LPifN+Hcfhi9/jRvzNVqaRXDuPNWMwh3KA2ter3sKzD3/FEd+83OsaEkQMNTKcDI1StOP0HyPdqPJnrDBtJFDRxKgowuBGh3HKqbwV9s0/ZAaOYTuEwqdVBzgCx0dDU1GGJZFIE3yrSaOEJSNZEfk3jBJFQsIIFotYwYQaWbHCE3o3HrXeGaSfNrixN4CCUsnaevs6ksyW/Fw/YiEbVDMODRsmyNHjnTGXJrNnpOMlLJHsFshjzuhuxBq+RFLNY+qB4HfJowMknpHyF9pBpaKSakIQ0papkVoO1SkQCholRtU2xG6ENgypCUs3JFRXDeg1fTBsNEUKKEhDYdG2Bk1mil5jBYdKm1FhEBbWWb51AUSKI56y+CB+4M/TPHZgxtLVyZMPvTERG8h5+iKSqXC4uIily9fJpFI9L6njQKMN5tU385+qtvF33pSbTabnDp1CtM0eeSRR7b1WWE7NDWLljDRo4CW15FgmygmN21Hd12XlUoFZSU52X+IUlVRvbjK9z5xl5TxOnTnTlt+xKHBJNa5BlXNBgRjYZOKmWKu4jKRNxgI5znw0AiH9oz3tr/TpNp1zNlMvWgnyG5lZYXLly/z2GObd0XvFKm+2eTcCrlpPhAUSUtnZCBHtZinf26Zc8khdvs1EmqV83FAc3WUVF+OaystZsvu2rD+IKOjo7252HK5TOWZQzz2Z39Ja7XFlewYF791luWJ3QztO0LWMfjyhWUqLYl95J2kr15AIbjw7WtcHDeolhs4UYCpYqw4YiWRIlIamCbZTAJfCaZKLkHU0daN6caTAlczUGvfY2w6+LFC03Rm7NyaQD44lo1maIRRRKPcJNdskdItfE0nQkeg0JUiFmvEp+tYWmem90NHh0jZHXKPler9mUuY2NrNGryZTIZMJsOePXuIoohyuXwTeXSVr+4mKLA+mwD0FkJ1L2K57iFbLZJxxKqRoKFZCB2cOEQpRU3YOFpMMu3g2DZRDGkVIVoNbBnT1k18wyQYGCaIFZnKCmkEi2YaiUI3dAoZg2zCYv9ginIr4Kk9eRZKdZzAo/XaKQ4ENYaiFnXdpvDkUXZ99zvvmOW7tSlpcHCQwcHBjkdzu025XOby5cv4vn+bD+qbmf6VUt6T1/XbFW+LM3lQ6d+umfgjjzzCxYsXt/35puHwzdQuJGDKiL/z+Agp29i0ploqlXj9zAWGBnfhl+tIoM+UxFJuWZ93fedvww0JlMZYUKNfGCRURFl3uG7mCK8v8o3KKh9/zyOMDd3sTrSTpDo/P8/U1NQdx5zuZ39KKSYnJ7c04/o3NVJNmVBfNx84mk8wmk9wabGBFe1lcOY1Luk5SmaSvqjNWFjn8LWTmA9/mLOzdYpF66Z5w+5crJHIYBdHcQ48zMJ//M+w4kHoMjeX5yuf/zbxxB7OzDZJmDpNvY+9yUG8WDFp5mis1ImFjhIGlhbT1DvS7clsknqgaAcxIwWbvGOy3AyI6g0qsSBee9FKoWEoRUKFxH5I27AQCEKhYaqY0LCJFBBI2kFIyg+pWEkiBHJNelAiOoq9SoKxtiDUOwIUdxJ/9zxv03eGYRi3kUepVOLChQtEUUShUOiRx3rSuFVt6OBQuidDeGa6inPtCrZvIHUd1NpYkRCYcYTUDWIEkW0QZrL0mTrC8yjM3mDBypFQMcuaTpjLk3MMqvPLuMIg0HQ0JI6KKfb3cWAwTcOP8EJJ2jHpT9tcnvKpnL2BNHM00hYDUQvTsYkPvIvvrvn31KAlhCCVSpFKpZiYmLjJB7UrXpJIJIjj+IHPev9NfJ7vhrcFqe40uo0u682w7+WlX9NMJNAfu1TikKGcw3jxZmJpuCHVdkB1ZYFSqUQ9OcH11ASroUtW+pieIova8qB1t/M3bRucnq4ymDYJhcGx9iJDssWCkSEIQgy3zK5du1Hm7ambnSBVpRSXL1+m3W7f1VD8XtO/Usqe9dxWRn8ehIbwm4GEKXhig/nAQ8MZFms+l/Y9xndWI7Kxz3W7wFOtOa5NrSKvLjHjCq6tthnKWIwXE737aL7qcWa2hq1rCE3w5D/+NMnf+L8olVvEaDinXudSPaRp5HCyFlLB9MAEXrlGc21eVFcdFaYPVK6Qe+QQC6IfBUStgF3FBClTx4sVUblC3YvRNAu57hJIoQiVRqwJQIDoaPNKozMTrRQIYlQs8fTOZzsd692NKCwZkEml8BXkUxYp22DvwC3P2C16tVt90a8nj64zSqVSYXV1lTMXrhAKi4nhPiaG+5mvS8rNgPFigtVmwHLdw48lleU6zStXMeptckpnwewDFL5mAIqGlSAZBQjbhHQSTQh2O5L6tRvkZcAiiqZmECdzuFLQXKnjKME+v4otIkIM5iceWuved3hmX5GqG5JPmLx0rcz5S4s0zQKWUrhCZ8lIMXTsMM2SS/3VeX7o+Oh9dz7f6oPq+z4zMzNUq1Vefvll0ul0L9p/EDVreHPH3B40/taRatfAfHBw8LZGl+0in0mgAat6gjiMaPkRjVscZ750bpGZ2Tksy+Q9jx9i6nqFUyKPayfIxj7vN0OO7s1uOfXb7fydKbcJY0XCsbhh5ZACHBlzZPkSTnqYdG4QwzQ3JOv7JdVus1A+n+fYsWN3/Q7vpVHJ9/2eoMPExMSOP1Se53Hu3Lle+i+Xy92UMnyzV8gbzQdmHIPju/OcuzYGK1MdPVwl8ISBZ+hwZZKHTzzKt66VqTV9lhs+BwbT2KZG24+ZLbs8e6BIy4uQpsX7/9EPcv4//TbXG4KpzChaqcboeI5ACQy/xciNC0ylh/H0VEf+TyiUjFl85j287wOPsHRmidmKS1/a4vBohrobUX/lVVaDBJ6RQIo18tQBDGQc4wnQpEQoiaYgNnVEl1+JIZboQEIGhMLAvWnhJGhbDpEUhLEiEytKzZDzcw2CWPUEKm7Vq9XvMXrSdZ3+/n7sdJ7L7iq+H7A43WJ+uczrcy7LvsnZGYMwFvRnbaw4ZPTcq3hhkoaZpql0dGISStAWJjoKIRWhbSFMGy+QjCYl4dkLCGHQF7sMhC1afUPEhoHR9iDwGQ4bDMkmORlifPf7keWIib4EtqkzlHM4MJRmtuISXLjERG2BGaeI1HRyKsDbvY+VQBDJCKHgr8+v8ANPjuyokINt2+RyOXRdZ8+ePTQaDcrlcq9m3Y321z9T94r/Eak+IOzUC7UrybcdA/M7IZt2OOYucN0sMB9ILsw3uLTQ7LnLzJdqXL8xycFdQ8RGCk3TqLsRrmaSl3VMFYMbkDS34cO51vl7ZbHJjZUW5+ZrrFhpRBxRFxrLg0f5O+0b9PXpFPcNbEjW90Oqd2sW2gjbJdVujfbhhx+mr6/v7h/YJrrb379/P3Ecs7y8zOXLl0kmk/T392+t8/tNQt2LSOdSJFM2jRY0dZtJI0fZTpJecbl6bpm6H+PYBnEzION4DKRtxosJZiveLb6aJtoPfJSx3/kzRrw2rjApXJri5Pgj2CtLTKX70QBTRcQKdBSmrbOKxXeul/GimGLKRKRt9hVtar/+h/x5ai8VwyHW9I47jLEWqXQFToSG1DtkGxsCQ4OkpeF6Ei3wsVBkApe01pnJnbILbzQn6Z1/xXFHML/cCkklDOpeRDuIeyYUt+rVFqz7S0l2NXBH+9LMCJ2aLkj3eQzqkq9dWmW5Ibm6UCcOI0ajAhnpExkaDSNBpOnECkCAkghTMFjIkEmaaGFI+tolqprdqT0rhVYooPX1IVaaEHgEmkHNcKjIFB/+oaep5/qws20mione+QHUXztNePUqnpGjGLbQdJ19+0cxDo6x0giptQIKGQvHEA9Ew7fbqCSEIJvNks1mezXrSqXSU6KzbbsXxW7Xcxg6mgEPKvp9q/C2INX7hVKK69evUyqVdtTSrKnbnEyMUNZtFiKT3bZBc63zt1UrMXvtGuNjY8SGjSY6tbLveWyYmXPXETLGJmYkbm7byzWTMBnM2TwymsWPJV+/CNfNPELXaMs03xQxfz90N41+75VUl5eXuXr1KkePHt1Wi/t20r/dOvdOS1Gu3/7k5CRPPPEEhtFJFQ4MDKCUotVqUSqVmJubo91uc/36dfr6+shmsw88/bRRyrLhRZyZrVFrR2QHCuRrV9CDMjUjRUtYtHULrdwgNC0k0PAUBwbSHVcZL+Kh4RRHx7M915KvXVql5Smm9j9CYe4KWrPBBWuAhVpIYPfTEmsuMUgsFFIpYj/g2lKDq4sNbFOQtA1s0+T8N05iJXbTFnYnIlOgbiXUHjrnpYUh0tRpeRIVByjdwJOgLMFBd5ZMHNIQFlUzQSw0BAaSdZo/oqOxEkQxQRT3sjC36tWq6Oaa6nbszOANh5mZssvFhQZBJKm0QjK2juMkMJstmnHHRbxsJEBGyDjGFB1B/1jogETTBamkzaGRDENayLUXz9JWOlLT6A/rZAaKvP+DT/CXL16HdhMlNNKxz9H2Ev3Hj5LcNcZIwmSx5vfOTxeCr7xwkcYXXmbO7mPAq5FA8vyBAtmPPEMuadH0Iv76/AqOIUjYxgPR8N2sUckwDAYGBnpz8N2Gp/Wew8VisVPz30Lz0b1KFL6d8bYh1XtNyYVhyJkzZ0gmkzsuyVe300hgLGyyEATMlNsUUybLc1OooM173vk0XsRNDjGZhMk/3a8xee0qI1GDlH9g26QKoAtBzQ24MLOKkDFoFikZYKsYJaCyWmOzyVdN0+5oIHArlFJcu3aNarV6T+4vW7l2603Ln3766R3v9rvVFN0wDIIguOkY0+k06XSaoaEhLl68SDqdZn5+vvffXWeZnTBU3wpqboitazx7oMj1ZQt37joLnsaqniAQRsfuzA+xLIe+tIVt6rz7UB/DOYe5qks+YeJYem9b7SAmYWn0ZU369jzN7F99jXOJQVzdpCFMFAJbRQRWmpxfw1QxtpTE0qKmmQSBotIO0bwq0sySjALMTh6XXMYhVGBUK1TMJEqBEmKtcNp55iJhIOKQTqV2be5UU8RS52xiGF0qGoaNUBLTsrAM8MOOsXjW0bF0jaGMxUg+wfsPD/YI8la92kZjY7Pwbnq4+31sRrJdEY5Li401vewIS9eIowirvMhyG9CdXprZ0DVQkpbuoNa8XQUKwzQYziY4aAakP/+n9EuNv84fIELwemY3lYkhjFenGLp+noTh4KKzaqYo7T5AYOfQhbhNj7c6s0D4V18kgUJDMe7XEMUC2R/4vl4/R8Yx+IEnRx6ohm8cx1t6RpPJJMlkkvHx8Zu60qempnoNdX19fWQymQ0Xrn/bhB/gbUSq94KuUfX+/fsZHh6+4+9u5DF6N+QH82iaoIXJ/tYST4wlqSxNkc0V2f9oR27QNLktYhwbymIGZeqajdv0sbcZNTbckJeurbKwuEQYwfv6NV6fr+HqJpnYJx/7ZGqrm35+O+nYKIp6i5I7SjbeAXeLjNfvYydNy7uI45gzZ87gOM6Wti+EQNO0m7pEm80mq6urnD59GqBHsOl0+oFFsd2IqeVF2KZBZt84mVdeYzabJYKOCIMwIYhoeCGPTWQZzjm8OlWlHcRcW25xYCBJwjaYKDicma0TxzGrCx4z52bxUhOUzCTFoEXZsjsjMHqKCNDSaUSjjk7Mcjui3X2BxjFCt1AIPN3EigN0xyalS1StjSVjNKVAKSKhIQwTRYyIJQqxrgmp090rEShNocVGR0EJDWnqCAWhBNsSWLrOYNYmn7TYM5Dgw0eHb2q+ubUevZFZeDc9PF91ubLUQkmFH8teJL9RPXssn6DUWmK+4lJr+SQaNdJekxQ6ntDRAENJdgdVqprDrIrRFISmjiEMHAOC8govn59DS0wQaRrTZg6h67Qsh7jl4k9Nout2ZwQHGM3bPPHkfpRUxGvPaPf8VL2O+4v/G1pqolezdYVJ6j3vJpdN3Hb8D1IQX0q57TnVW92agiCgXC4zOztLo9EglUr1UsVdg497lSicmZnhk5/8JEtLSwgh+MxnPsNP/uRPUi6X+Xt/7+8xOTnJnj17+IM/+INtCe/sBP7Gkurs7CwzMzNbNqruShVuh1SzSZv3GHWqtTbJoMXChe9w5Jln7ioB2HQyvVGcuJ3gmBvc8fdvxUKpzvUbkxzZNcCFlRiXFkf9G+wNKiTjiJG4SaqS3/TzW03/ttttTp06xe7duze1oNsK7hSp7tQ+NoPneZw8eZLx8XHGx8dv+plSatOXw/rjXT/ruHfv3t7LYHp6mmazSTab7b0MdjLCXh+l6ELw5TjipWyJQHQs0SwZ4usWaelTSGU4OJQhVgolO3OuUioStoHrR3z5wiquH1IqNalXXTy7iCUjXCVYsVK9eVAVB6BbiIRN4FqIsNPB22kq6nwnHWJce+Hn0hiGhh20SbUrLJlZWItSNd3E1sGNdZSur6WF1do/bzxnMYJQ0wiEsUa5OrroSGTrmiBlG3zgkUEOjaQ3JMCNrl13oXOrnRmIN0ZhrlVw/ZhCemPt21gpHh5OU6wtc7JcAwWBZhBqJvuDMhU9CVJx1hkmAGJNBx1MzeD47hxGvUZ4YxHPdCgJi4aZwNMMnKSN8uHaYhXNymIrSTb2sdNJ9j9+sNOxbd5svaZ8H+/f/i+kY5/nmh13oXe2pln46EfZdWToTXeU2e67ciNYlsXw8DDDw8O9hWu5XOb8+fNMT0/zV3/1Vxw5cuSeynWGYfDZz36WJ598kkajwfHjx/nABz7Ab/zGb/D+97+fn/mZn+EXfuEX+IVf+AX+7b/9t/d1Hts+tjd1b3fAVtO/cRxz/vx5lFI8/fTTW15NdUl1u6m9bCGDNjuF67k8OjZOeguauo1UrjeKs9g2qLtb1zVeXl5m+uplxsZGMW2Hh0clR3ItCi/dIC3fIGe5tLzpNrZCqt2mrkcffZRcLrfl49vO/srlMhcuXNiRfWyEbkPSrY1pXTLt/tn9727jxd3utVtfBvV6nVKpxPT0NJqm9aLYVCq15Sh2szGQ9RHHrqEs6bSDVm9T1xx8rZOyrQWgVT2yjt4jkXYQo2kC14+oeTHlZkBzuUK5HaN0g0AYBPra460LRoI6qzKBoWLqCFbrEBspbKURajrEAOuPT4CuY1o6KQHNmktkZWgbNkIp4rWxmSCGzoc7dcYOmd56nqLjwoNA0zsqSjpgGoL+lMlAxuLQSPo2T9etfJe3pk8Briw1mS27oBRja56i81WX1Fr9sft9Z9wG8utfZ6kOsZXB1S2ykYcCSiJN3bDRZUfJLFZg6grLtEhYBuX5FWSlyrIzhBLgaRYpPcK0HDSlSLs1clGLlpGgaTjotoXq62O8kODIWLZ3rLMVF03GeL/xm6QrTdAsFo00SsDuT/99fEORfQt8T+8lUr0T1i9cd+/ezcGDBwmCgD/5kz/h5Zdf5nu/93v50Ic+xIc+9KEtTW2MjIz0DFgymQyHDx9mbm6O//7f/ztf/epXAfjxH/9x3ve+9/3/L6luBd2oZ2xsbNtjGOtF9beKOI5Z9n3MMKSQL2C57pY+lx/tR9N0Vkmgex6J6O6fq7cDzly6Ruw1ec87n8aPRe9FkawaNOXN0a6cm0NJidhgNXknUlVKMTU1xfLy8o75rG6Ubr5VdH+nsbi4yPXr129reFpPpIZhoK9Z78Vx3PtOwjDs/d5WZmNzuRy5XI59+/bh+z6lUokbN27gui65XI6+vj4KhcKmL6Gt3qcHBlNoxQIrbdGJ8wRYsYuOIBl5vDJVZd/gG+L67z7YR6wUyzWPxbOXKZZKrNpFZCxBX2se0nUME5KFQQpLq6gowtUM4jgE3SQ2DYhlrzaqq44HqrZGyEEkUeXyWnPT2kiN0ek6TRgaUoPAA1d2nGg2+RaRojPXqWudcRtD1zB1SNkGu/uTZJ2tE8d6Ut2oSem9h/qZr3ok7RotL8KPJS9cKdP2Iwopk+87OkjixW9S/osvoxsD9FtpxhtVXkpN4OkGoRLUTKezVNA0YgWxZSME6LpGqlWl6QU0jSS+MMhLD0yLdCGPDAIGF2eQQmPFTNLWHNB0XMsiaLSpl5ZJjprEscY3r1ZoexGXXzzN6AoEucNoSBbNDNr+/TzspRmijFYPEVb0pkarOxGp3gnpdJof/uEfJpFI8Nhjj/GZz3yGL3zhC/zcz/0cH/zgB/nMZz6z5W1NTk7y+uuv88wzz7C0tNQj2+HhYZaWlh7UKWyKvzGk2m3hvteoZ7uk2vUKnRgaIj0zA4Aql3s/70oJdhuU1iObtHlPxqe6WCLhNQmrd/YArTQ9fuevX8e0bIaHRvBjcZOvqzIHEIaBWufko4IAubSEvoFd3makGscx586dQ9f1HW3qWt/9K6Xk4sWLhGF4k+j+TqHbkFSr1W5reOqSZ/el2/0H6B1HGIZcu3aNQqFAHMe9e0LTtF6t9U6wbZvR0dGb5AK7JGuaZi+K3Wpnc2MtioKOktB3P7mL35ivkJYBnjLX+mMNTLfJTNljvupyaPgNAfV606P6hc8zOFOlpjvs8iusaA5tEijDRAOKaZt3PTpIYX+CF796mppM0FpL10Z6V3iwUxONhQ66To8iWy55r8VMqghKousCoXWiTE0TBGFE0LvVumnjW/+k86euEcjO30olMU2TYsrC0AUvXC3xoUe3lubsXt+NmpS6kf+h4TSjeYf5qsulhQYvXi0DCr/tkfirv6RQW+Ev88dAwZLRKR81NAtXmOvUnhShEAjDxDLABIr1VcbdMtNmnlDXkZrAs1NkskmycYC1NMNE2AAUNd3BsATKcnBsg7GCTRub6fllFkp1phuC/JWreGXFvJWhqVn4wmBkYgB7dJDlms/5kscBr062FG7bvu1+8GZp/3Zrqrt37+bTn/40n/70p7f1+Wazycc+9jF+8Rd/kWw2e9PP1j//bybeNqS62clvZia+XWyHVFdXV7l06RJHjhwh5Xq4r7wCgFxcBG6WEtSE6M2trkduuJ/k7CShCqksr2y6r2azyTe+fYpMtsCBicG1bsSbJQ2FYaCNjRFPTd302dq1Kdp27jZi34hUu7XH0dFRdu3ataXvYavoplO7PrV9fX0PxLQ8jmNc1yUMw9sakjYi1FvheR6nT59mYmKCkZGRXkS7PkXcJdatEOytjRmu6940XpDP5+nv79801dx1P7m80AQheGg4xf6BFHvSglLFxY1jktInFhpOEOC1PJbrAaP5iKYXcXWhxo0vfBN9fpU5p4gdh2hCMYiHUUxRcUMMXSNtG4SRYlZPszS6l6DsAwJLheiBJBY6kaZx61EqoB4qGql+DBUTagambnTkB1WnKSlWoIjR4piOzEMXovdvte7/u9sNIrB1HS+StH3JSqPF0XGPQ8N3b1rpXqf1TUozZZdLi42bFhwAr9yocHK6ylLZBRUSRYrfN/eQKo5R1R1sFQGCSAgMFJH2Rvpa6pAydTRNkDVBLK9wyF8hIwOu232ARtKy6CskeNJxkafPsjeoUNYTXLaLqITD7vEBglAylLN57mAfLS+ifyzP4BhM/d5XWFyo0bDzNCXkohZqaIxatg+rFeCFEs+NWWqGmGu+rG8Wqb5Z2r/NZvOeR2rCMORjH/sYP/qjP8oP/dAPATA0NMTCwgIjIyMsLCwwODi4k4e7JbxtSHUj+L7P6dOn724mvgVshVSVUty4cYPV1dVeajQae6O5Jp6bA242Ed+IBAG0tW5kIQRiZeP6Z3cu9KnHj/CdGZeVuo8mxIZzZ/revdRmFlgw0rRFxy1n9swSyUTlNmLXNO2mc+16yO6UKMat0DSNdrvNK6+8woEDBx7IjdxdFBiGweHDh2/6mVKKKIruSIS1Wq33HeTz+d5xd3//1hqslLK3TV3Xt/SCSSQSjI2NMTY2RhzHVKtVVldXabVanDlzhv7+fvr6+nrp8Job4vpxz/2o7Xeu2d5dA9hLZ7jgDCCxKZkJyrEPCw2+dG6Zb18rU28HRNPTVJsGxzSTipZg2eojtExcLcGEqZNTMJS3aXoxl5ebrDYCFjzREXCIY0KlYakQC0VDWet4b61GGodoqM6IjNCQuoVpaB2NYEsnlp1FpaDz3SFA6KDiLj3f3A28pjjRQxT5yEgglQVK0fYjZivuXcdEpJSdtHzCxI8lZ2drLNR8giDm5HSdIyNp+jIWsyWXL5+ex2+08GMDXUlMJXG1ju5uW7NoY5KMAwwkvmYi6AhRoAsMobN3IIPbaDI4fQUn8vgedxKJRl23uTxxhFAzCOpNGleuUDEzgEJXkkQ+h8p1SHQwZ7NvIEXLi3qzqN/4028wv1jFTRYxEGhCI84OM75viAG7QaB06pbDYqhoeDFetHWp053AmxWpttvtXrp2O1BK8alPfYrDhw/z0z/9072///7v/34+97nP8TM/8zN87nOf46Mf/ehOHu6W8LYl1W2ZiW8BdyPV7tiH4zg3pUb1sbHe78iFBVQU9aQE70iCo50bRSDQ5hdu+tn6FOaJEyewLIvn0+lN08kA7Ym9fCm9wHl7gBUzSTr2Sa56PKcJVho+cxWXh7vD8uvSsbOzs8zOzm7dQ/Ye0Gw2WVlZ4fjx4w/EF3G9AtOlS5d6f7+eBO+U6llaWmJycpJjx45t+h30rvfai6S73W6KeLtpYl3Xe6ngRqPBvn37qFarvdR4oVDATudxTK3jfiQE/RmLayst7L4is4kCTWERGAYSQVsXxJHi3EIDJSWm12ak2aKtJziVGGTVSONaFnbCQfM7adqBrNO5/zTJ5GqbIJRIBZrWoU2hBFLoCCVvjlK7fUd0OoGVgBCBAixTQ0pBNmHQ9CJ0TXSaftcEEQTaGi1tdC0ExBFCF/SlHUYLFjIMWFlZwTYEXz7lMVhMU0gnee/DAxsSa8OLWKj5rH9CglASRpLZqsvkistL10oUY4+VapNSqKMjEZpCqY7gv0KhlIYho440JAJdStLSx9B0AiuNndBwDJ10eZHi0iKO9OkPGlxx+jnWXmD4+edoNSTu9ByrNZe64bBkpBFAs28Ae3iYvY5OyjZ5/uF+Dgy98XxP//mXmL80S1IzMISkrZkc6zMJnniEZ/b3cWg4TanW4vOnZmk1I1RYYY8d49ZtHL3wpsxRv5mkei8jNS+88AK/9Vu/xdGjRzl27BgAP//zP8/P/MzP8PGPf5xf+7VfY/fu3fzBH/zBDh/x3fG2I9VuI83i4uKOEsGdSLUrzbd3797bVk0ilUIrFJGVMiqKkMvLZEZHeWpvgbmKu6ljjb53b+fzQqDPzfdSVmEYcvr0aTKZzE3Rd2YTMu1iqW+0V/vRO5P3NDzJN84vkUpZpGbecM/ppn/Pnz//wGqb8EZkXy6XmZiYeCCEupWGpM0IteuAU61WefLJJ7f1MupGsV0zhu7+uvdQHMc9ct1KFJtMJslkMj1XkEqlQqlUYiCokCw4FHI5MrkUkyUfJ61jOg4yED2CUmvnI5REej6lWKdq9yOEwvYj9lo+540MUioMDbKOye4+BxCcn28QRgpTh1gJpII47DjMmCg8TcdQinD9Vxh3jN7C7rmt3T9xLNndn+K9h/r5wpllqq0A0NYiPA0NHcnac6bBrYapxtqca60WU2+HaDqM5ZMkDA23LWm4ZWyWCOvLjA0UUGaSvoyDY3Vs4F6dqlKrusQywreauH7MnsEUCzWf5dUGWqOJbLZYiAW+0FC6ARJ0JbFVjE/H/xQg0k2sOEJHoTSBbpkUCzn6szahHxNev8GkZpPRk3hmjve5VVw7S+kf/QuezSaJP/dnVOst6s4gEYKWbtEujrCkpci5IU0/4ondSQ4MvUEalb/4It/5zjXmnEFqhkN/6OJkU2hPHaPoGIyuzef25VJ8/9P7eeHlOs8efwwReZTLZWbW+juKxeIdRRXuF2/39O+73vWuTcsqX/rSl+73sO4LbxtSFUIQRRFnz57FsqztmYlvAZuRavelvZk0X8MNWRjZQ6rWJC0D5Nw87cIA37lRQSrFfNXjece4jRBFfz/tTJFKO0C0V5FLS7jpNKdPn2bfvn13Fau49RjOtDTKiRzzyqapWSSFTkKG7IqaPHnwIVYbPpcWGhwayaDW9Dn37dv3QGqb8EbTk2EY7Nu3b1sKTltBV3qyUqncpvK0nuQ2I9TuosIwDB5//PH7upfWR7GmafbItVvH7f53d2RnK1Fsf38//f39PPTQG/KJMws3mF4K0a0kqbSDtdom1B0EMQKJiaDV9InW0qpSkwglqDgZiuP97I0VaUvDjlvsH8/w/sODXF9p8dKNCkEc44ZQSFqMuFVWQkmod9qgIk0HeYdxtnXrsbRj8tBwBrmW7o1i6FZNNSTR+l++6bJ0BCMEEAi988MwhhDmSw12D2RIpiwqrsDUE8z7Jn/6jXkMIfEjeGpXmmQqSSbpUEjqzFYCXrtRZmG+zFS9zkRpnmbb54ZdZNlIg64hEZiyMzurSYmrmx3rOWmSVR7JKEJXqjObmshipiwiKfBrLfonL1E1EvhGmtDSiZXiW+OPUtg1Qbzcxvi13+eQX0YACRmzYKZJ5zIkR3KI5TYDGYswhl1Fh6YX8epkhfD0GZYvTjNnFynGLgLFcxmPJz75YaRu3Jb2zjgGfQnIp2ygI3K/d+9ewjC8SVQhnU73SHandHSVUm8Kqd5rpPp2xtuGVJvNJq+99hp79ux5ICIBt8rWSSm5cuUKrVZrU2m+bkOSnxlHpuq8qzWNPTdLbf+Ru9ZUm17El0Yfo7G0gtCKWC+9xtJAftu6urAmZ2fovHvI5PXJEm2hIzUdVzOZXa6TX2qwVA8QCq4tVij68yQdh71r0fJOo+sENDo6ysTEBAsLCztqih7HcW9x9eSTT970cHcXX7d2965HEAScPn2aoaEhJiYmduy4utioFrt+ZGc7Uex6+cTdu3ezu9Tk8swKRuBSnq1jmRGuYWPHESkZUTZtAq3z4pRo6ELi2w4zNZ+UbfDJd4xRWZzm2SdGyTgGZ2ZrKAlp2yCIFLqKUa0WoyqmLi0U0LAGUNxplvoNojQ1jVhK/vT1BRZqPp2lVCdOTegxmm7iRnGni7ibRu4Sr6ERspZ7XofAj6hMzlK2bDA70ottZdPyFcWkSRBFNCpN5MIC1VaLpNei6Skyocf+0KOi2zzeWuB0cgi/o1RMJAQCgSVjCkGL6UShR/ixJlGRRlL6BEIjWcxSDRTtIML3AmK3QckZIBEHtDUDqQQJW8NNW6SCiPm/+jpNu5+2ZpCUncR49pGH8XWH0ayDEIKRnMNqM6DWDvnr88sYly8ycvo7LDr9hEInSYieTjHyg+9ntH977wPTNBkaGmJoaOgmUYUH4SLzoHGvikpvZ7xtSFVKeU+Es1Wsj1S7DVDFYpEnnnhi00iu25A0OFxg/jzUNZv85BS5D929pjpfdbmSGMDRmlQch6vnrvJd/++fuKd6SLeG6w6PMnF1iqpmM6dlCYSOVa8zudpipJDC91pMzS/znsf3EVTntr2frWAjwYWdtFLrWsJ1CXs9lFKkUilef/11+vv7GRgYIJlM3nT9ms0mZ8+e5eDBgw/EAedWbFSL7RLs+ih2PdFuhoYXcWq2STu0uOSm8NI5ZCixZUQi9mhpFsEtj6xmmgghyCct4lix3Hij3tjwIlYaPpapUW9H2KYgKpeoGEnaWsdYuz+XgDagG7cL5SuJpWJCXUcTkHIEH3h0gPmqjx8rEpZO4MZoqrOYEAh8xc312R6rirVGJWONo2OIQSjZkSwUOkEM/X6NQNO5XJYEZorVZownTKYrNYrS54PVS5zR87T0JK8nR7D1EAdF1mhwxhmkpZkEmoFQklgTeEKnbKfQpcTQO4lpJw4RopNYb+sW45FLpNto5TKxbuGoCCuOWLQynfS7aRMZEAcRwdINVvQkAkVShizrKVaOnmCgkMFxA47uyvODgynmqi43llsU0xZXXjiJuHEDy0iSjz10v8zVvgm0Xbu5sOxycKwzg7pdYwC4XVThVheZRCLRi2IfxLz4/aLVaj2wd/5bhbcNqeZyuR1PIa5HtyO2Wq1y7ty5LTVAdcmslOlYZmWlT3z9Ohlb5/nDAzepuMyW2zc1GSkFpFJr56Qz4Hn33GDQtYOrDjnoX/x9Gkrjz7KHiITA0yyalQZfna+RNiWGnWS8HFBbDjmxQQR9P5ifn2dqauq2+uZOmKLDG1rOt1rCra+fHjlypCfAcOXKld7oysDAAHEcc/36dR599NG3bPW7PjqN45jJycneLG0cx0RRtGmauDsioglouBGGZVKRnW5S3XCwYomm1FqTUYxp6Ozts5mvBbS8CE0TvDpZR/NDatYSR8ezZB2TH3hyhEsLTdLS5+x8i5ZmUtUtQqEz215Hgj2pwQ5sFa/dyJ1MrqXpvHy9QiAVpUbQy+5K0WlPctFREtT/j73/DrIsPc87wd93/PUmvSvvfVVXe4MGGg2QIEUQoAUlghgqRK12uaHRiDvDDQU15CiCS82GRtQuV6JEkRKp0IACSZGgAQEQDdsNNLq7usv7qsxKb653x59v/7h5b2dlZVVlVWV1Fxh4/kCgM7PuPTfz3vN87/s+7/MI5V1FMOoyry7/dBguz2dVTB2IIAqhISxCAQUtTjzy2ekVyIU2V6we9CikosawQp+vpHZQVgyaqkHRSCOFQIsCFvUEntBwtbYLFUJBSImvqIzYVYpGCkIIFA0ViRFFOEo7xWiu6hEJD03RiIRGRYuhRyG6oYAZx4si8H30ZgWdkN6gRV0xuWz24uw7iGZoINpVfH/aYChrkbQ0JpaafOerJ4kWF9kc+exwiwz5Dca3H2Ry8xYyCZMbRZvZisNw1lpz5/ZesTJFRkrZTZHpCOSy2Sz5fJ5sNvueCJHuhgdZqXlU8ciQ6sOGqqpUKhWKxeK6Y8e6ZNbKoP1FmXjkIVse0cwMqbExUjH9tjurGT0kYfokhE+/XWagOU9UKqHc50pLKqaTGskzv2sX0aXrfKh+nVdSW5lTUywWS/hmmsA0EZEkbhqUJWu2pe8HUkouX77cbZWv9r/diEp1YWGBa9eu3eLlvJYgybKs7upKFEWUy2XGx8ep1Wpks1kqlQqapr2vJ/MoirpK5aNHj3YPHp0qdqXoqeVLaraPpqq4YcRksYUfhUSaQYSDFCpNBSJVoMmIEIW4JhjsjVO1PbxAUqy5mIbg2mKIQUQwU2c4Y1F1fFy//d5sXrqGLwVFNYYShaiGxS3HWFV2CdBVlt87YUigqpSbAeCQimnEdIW4qSHCgHLZIxRau7WrAqpAhqLNxF0SXVEFhyGoEDc0ImEQhhGOt+w1rAkOCoe8ZYGvoNO2Y/SEStXMUlY0apEgpN3+JgRf0fGFupyWs2KdRwhcFK5bvYy4JXICBoMG43qWphYjEKBIsGRANrBxFI1hv4YUAqd/mIrQ0SOJ3XIIpGDRTFGPAp6tTeCmM6T+zseo2iFuFGEoCiM5i7SlM122SeuCPW9+lepMkxG/RlMxSEQ+6d3bMH74R+HkstOPbHslrw4G2IidVCEEiUSCRCLRFchVKhVKpRLXr1/HMIxuFXs/WagbgVar9f1K9XsRnYrBcRyeffbZezqhdVS5rR1b8E+0nZHCy1dQl1uTa+2sNqtFxq9f52c/coT67HmqJ04zl+un9PpZtnzw6fsmurrt8+2RQ7iTTRTgg5WrfMlqW6tF2T4Sho4XRpSbLkJszF5bEARdtfLtWuUPUqneSZC03pWZpaWlbkKNbdsUCgXOnTtHEAT09PTQ29tLJpN5z24anTjCfD7P5s2bu8+7ehYbRRHVlsc3LxUII4kfRhQaPpWWh+dHeEJtr7xA2+YvAl36WFFIf3+W/oyFqWvkU4K5ikMUhTRtH6mHFMs1TlyLsKw4b05UEFHAXCuBtARSCiJFIFYYHmnLHOj70fJ6zKq1mDAkVFUqtk+x6aOr4AbtG7+naEQ3/W5VBH6bL8SyWf+qKpgQvFoDzdDxeXdHtqZaXMtk2bK3l8vXS9SmG22NEyEWPnHfQfUVbH2VvaboVP3vXkd70tv+30hKRBgwp8Qp6Kn2zFUIUoFDLPIwowBb1Vm00jTjaUQoUERAqlRAFe29VGN59Whx5wH6jh+kaodUnYDndubpSZlddXKr6dH89rd5fPIi8dggM3qaeOST278T7+/9Pa5dLKJrglrLZ89wspuHuzo3dqOxcs0L3jUruXbtWtdyszOLfa8+K7ZtP7RVv/cLjwypPqw/YqvV4vTp0/T29nYX+e8H6q6d+CdOABBcuYLx0ofaXxeCasvH8UNihsrS7CSR+674Sd+7g69eKzKdGUU5V+ZAzzw/eGjwvoi1avswMkqfdJkPNYJGlU9GPl8xNKb1EcJYjKGsxRPb8pTVhQeuUjtey1u2bLnjgvb9VqodQZKu67cIktbjkNQhr1wux+7du286mXfmS51Q8gsXLpBKpboGDA9r18+2bU6fPs2WLVsYGBi47c91CNYOfISiMpgxODFe5uRkFV1V8EJJTBM0ZNRWrAoVFElT6uhEZGI6uYRBy4soNz0UFXpSMXw/RMVja3+SyPeYKlWoNaFhh7iqBigkpIfUYih6e84pJViaoOVJ6P6eV/2+pUQJPAaSBnNOu8AKIkkYReiEhFIlENBRJwlVQYbLB60QUJeJVYbLazYSW9XJug6RClbUXm1pBTozjSafnV7AEQYIBSnaFN+IwEYjUAR6GBCqa5n3A0Tt3Vux/H0hWLLyWJGHEXokvCYtPUYkQEhJMnDJRA67dvTz1WaSyA3Qg4hcbYn+oIUnFKqKhYsKVgx3az812+fKfBNTV/jCmUU+8+wmQilp1VvMfOMNam6Il9yMGQWApLFlO+dffJxk0cFUFZ7f1ct0yeb41vxtc2M3SqdwO6w0K1mZhToxMYFt29y4ceOegyPuFRtt3P8o4JEh1YeBjt3g/v37sSyLc+fO3fdjaTt3dv9/ePVqW3XnBLw5XgYk85UWW4wqybE8O/a/a6HX3LoDW3mbROQhKkUajnffbdlMTEeNmUz1DiOmphiNm6Rw+GTtIhPVGOd3fLDdfio5POiU4l5SbO6nUu0IkoaGhm6xTew4JHUeey2sh7w0TbtJJVmr1SgUCt20mc5ay0bdNGq1GufOnbvJteluyMQ1VEWh2PQJZfv16prSduKt19AiCJT28FGL2sa5UsL1xTqGobBvOEVPUmd8yUZTQUYRg2qNkU0D/MmJWVBS2H4dN4zoEFBT0TAF7OxPUW757apZRrQ8n5tISgURREghMKWPEAKnUkVYCWTUXsep2u02tRYE7TlqCKhq27JQjd7t+nbSbFQBqgJhSIRCXbUIEbRUrRtuHioKfqQSKO86MilAv9+goll4Ql0mzNWQCCJ6vBaREHiKhqPoJCIPZ9lFyVUSbT9fKVEQWIHDoplgMTPMbBTDVEHzGlQChbIWIxW6DAV1rpo5ZDyJqqn0Z0zKDQ9Fgc29cWbLDjMVmyFc5v7mmyxiEUfioKKJiL49W/mSMsiNc0sYusr2vvanM580unupcOfc2IeNlZabo6OjnD9/HsMwuHHjRjf+MJ/Pk8/nN+xA+rAPDe8X/laSaqelWCqVunaDvu8/kJhGGR1FxGJI26ZWa1G6PIWdymK7AfPlJlMLRYyxHl4a3XLTDTq3ZRRLFRQVoz3vrFXIxNokcidT/rUQ0wV94QKxnYNYs+NcV3PECRgKGuSvnqfn+HMM9GaYLrQo1yX1+yTvyclJ5ubm1p1ic6+V6u0ESUB35nindm+5XObixYvs37//FhPtO11jJ21m+/btXbHTtWvXaLVaXbHTndJm7oTFxUWuX7/O4cOH122mD5CydF7c20u1FdCfMjgzXaPW8gndENcJ8DRrubWqECznhVrSx/EkaUujN2mwayiFF0psN0RXIB4qfOH0Ig07BAGZWDtztZOTahHRE4dipUbVhZSlUmiGy/zX+Z1LQENqKiIM0JBk/Vb7+V2HpmaBqqEpoAoVPfSooQDKijmq3q5QV4qKQ0mbXNvt5QgVEbbninoYESqSSCjt9jRt0wYAIwqoaSY+oMgIZ7ktLqKQSBEr7CfaY11DRGyxS1yO5XFEOwrPFxIViR6G9PpNIkUhPtCPmUmSMAROtQ6TUwQo1GJZMr5NXbfYEo9IZtJomkrDi3jjeoVDYylMXWW27KAoglR5iTc++5dYapylRA+9fotAU8jtHGJyaBNyts5YT5xC3WNTT4ytfYl12TG+HysxnYjMTryalJJ6vU6xWGR6ehqgS7DpdPqBDqTvl+n9w8QjQ6ob9YvttATj8TiPPfbYTSsPQbD+XNNbrk9R0Hbvpnz6PK8mNqG+eZlo525mCmWmFipsGuwhn03fUoWm4wbH+yIen70IwKayRSr2GHNlmy+fm8dSVWKmtqYp/0p0WrE9AyNMhT2801dlSRr0+S32uUs82ZpGXr7EtBnn8kID3Yn42oWluz7uSkRRxIULFwjDkMcff3zdH+h7qVTvRZC0FmZnZ5menubo0aMPJERanTbT8em9evUqpml2V3bW8xyTk5Ndm8b7OcWnlmPPvnq+yVDGpNr0qBZaFPTEzd65K5ZVQiJOT9XQVUHSFARByPb+BPOVFhPFAC+I0DTBYs3BCEMSkUdT0QGBqpsohslA0oCag+uFCCChhjSDaLkFvMIAXxXISFDWYxBJWsuPQxji0b6JqHoMy7HxhYpUlGVXpbbKt63+XbWuE0q0KEQVEkW290pDId5VDqOgyhCV9s9FCAIUvOVVIETblVhZbuFGy63eiIiGD2xBgQAAyx1JREFUaiAEVBIxRBSRDF1cGeIJHVVEaITUE2lyuSRm3MBQFRanFklUS5iqIEZEK3TZ2lrk2sAWZgcH8MshTR8sQ0VTJEc3ZfnBgxYzFZuBmXHc3/tvRLFB+oIWQ16DrX6Z+NEjHH3hIC03pNTyKdQ9FEWwoz/JUPbu76v3qzW6msyFEKTTadLp9E3mE7Ozs1y8eJFEIkFPTw/5fP6eoiS/X6l+D6Ber3PmzJk17QbXyvy8V2iHD1E7e40I6JsZ50o+z7Dpk9s1SszUiRvamgIDbd8uto7/NUIRKO+8Re3HPsmXzy4wXmiv4QxnrDu2hDut2P3799OIDMoTs4T5PtSlMhohLaFTFyZbzr1J44ljyMEkpbkixYbbjgpbB6l6nsfJkyfp6+tjy5Yt93TIWU+l2rE0LBaL9yVIklJy7do1ms0mjz322IbebBRF6Z68oX2AKRQKXZvHfD7fFTutnvteunSJIAi6Ct/7RbUVYBoKCUtjfHwRW9FB3iwasqKw7VMrI3zaiuFvXioShBIvaO9dRmFA1Yko1B3mqi6RBFUGpAMfVY1whE4gNKqtgDCI6M/EqNoePj6WouK4druYFILOfNTSVFRUIs/BVlesUsmIKBQEUtLSQDcMRBAS0VEQdypWEKqKZGXVqqARkA48HEVFSIVI0ehsvILEWhYPuerq92+7shW0x7MrW8ESgatoaLK90qNLcFQdPQqJSxupabjxJA6CRgC5KGTnyW9xLj6ASkRJjdETtAhUnfEdRxjtTfD89iRfeWeaiXqEISPUqB0gESR1tp1/C+vP/5SGYrTXihQNk5DEM0+S2DTCcDZGytIYzLQJeCQbWxehwsPPNL3T897p87XafKLjCHb+/HnCMFy3+YTjOI/k7uyD4pEi1QdZzZibm2N8fPyhGkhoBw+Sjv4QRUpuTMyi7j/Mx5472o2hul0bN9q0CdIpaDSI6nXK569g6hliuspc1SZhqmuSsZSSyclJ5ufnu2HfdtlmtuxQtDJUNZd05KIScT7Why5D5NvnCHbt4UIhopcWCVNrf7DvQKz1ep3Tp0/fd3jB3SrVKIo4e/Ysmqbd1D3ovMa7CZI6gqZ4PM6hQ4ceersoHo+zadMmNm3aRBAElEol5ubmuHjxIslkkt7eXnK5HBcvXiSVSnVFUveDuuMzW3ZoeQHFusfZG0WKgViuxm4WDYVAzm9R00zCUOIAqpCcmq7xxLYesnGDRmGR4XyKQIe5mkvCUPDrPrbaJhpfVVFl+/decwJafhNdEYxmLTw/wJwtcSPx7tqXAAzAVQwiNVpBeqv0wWGbxDQZIlAIaF++6vsYOiiKRaCoOHTq7ZBQbbdktSjCUVTCboXcftSGrrcPFREri/R3rywKEYpY/ta7ua2RUHBFex7rixAVQUwJOTycYXD7CG+Ml2l6EWGtTn2+RE0zqKlt16qGapJOGhzasQXLUHhxTx99aZPLU0VyOZOqG9Ebg5NXZzn1p19GKZR5MdQYlQ7PNiapqSYf+MzfQQ4Odtu7dScglPKWWLq74f1q/97L8652BFttPmFZVreKXa3ybTabf+t2VOERI9X7QRRFXL58mVardVu7wY2Cks0SG+zlwIUzhKk8o9mIdLxtGXcn0lI0DXHkCLz6KgDxsydR9r1Iw/FRAEu/9VTY8a4FbmrFhlKyfzjN/tE0s/Y8e66P0xe0uGLm6Q1tSpcuMfL4IW4kFJ7ckaflRXesgjvt2MOHD9+3YcKdDkMPKkjqZKCOjo4+FPvKu0HTNPr7++nv7+9aws3Pz3PhwgVMs+3H2mg0SCaT90ysdcfn8ydmeXuyguOHuH5IvelCR4QbSaRoh2WHQsVXNJbMFEK2RUey/SM4fsTbE2XsyiKDPTmMWAKlUUdXFIIwwldU4mGIGUVEakig6kgJXigJo5BmBKVWAAKUeHY5aSYCFNIxgaZoiCgiUix8t+2lC2BEHrqEpma027MC4lGIKiMixSACfEXDD3m3/bvire6jY6V0VAGO2xYG+zfts65dLSlRhBQSTYKIJL4CIFGkRI3ar1cu/y0ioZAxFNLZPmRvgsGsRU4NsWdncYVGUzWZNHLUFYN+v0lqdIzBwSy9CQMpBIOZdiXlBhF9GYMRw2R/XuXS519hthVRj/fyTSH44MIpYrEI7Rc+Q2qkh1TKumOQ+nrwfs5U77cTtNp8wrZtisUily9fxvM8stks2WyWWCzW/dzcK37+53+ev/zLv6S/v5+zZ88C8Ku/+qv8zu/8Trco+PVf/3U+9rGP3ddreFB8T5Oq67rdUOw72Q1uFGZnZ5nM5EnmeukhwDp/Bp576q7/TlVVOHqkS6rWiTc49KEfpOkGjPXEaSzbk3WIr+OtOzg4yKZNm256XZmYTszUiKRk65FdHL7wZaSEa2aeghpD8Rw2X36bjJWjbvuEUtB0A+bKNqGU3Wr6Tvuh94rbVaqdCnj37t309vbe9L31CJI6ato9e/Z0g8DfT3Sus1AocOTIEZLJJIVCgfHxcZrNJplMhr6+PvL5/F1vSnXH5+SNKm+MF5kqOYQRyCAEzyNULSQCRZEIVXSFs51ZoxQKuozwgZSpkDBUDOmybWQIT+hMV2wQCumYRqvl4YVgBCE1wwA0TA0ylkbNDfADSbDcOm53bdtKYwWBCCPqtkQIH0lbuKuoKhCAH5IIA2KhiwwjXE0jUHUaqgnLLWohl2PgVip1u9watfdHSw18RSESGjoRUjFQkXjLkWw3r8xE6FISC2xc3SQh/eUK0yNSVOKhiy8UQqG2IwdUBVXRCDWFmhNybaFJ/4WT5Ep1bCNNTkpqWpxNXo1mIkX64GF2DKXZ2Z/g1SslMjGd1662d9M1BRSh8ETMxv23f8BScjNzZhYjCrDNJM7Rp9n8D36asm3fZHTv62l8XzCYi9+zqcP3QqV6JwghiMfjxOPxrvlEtVrlwoUL/ON//I9JpVLous7Fixfvqdvzmc98hl/8xV/k05/+9E1f/yf/5J/wS7/0Sw983Q+KR4pU76X927EbXOuGfSd02oz3gk41XKy1WDj0QdxpBwV4/twlYr6PuAshKYqCHB1FGxgkXJhHOg591y7Qk91Owwlu8g/uvK61lLHwrstTu93cj3b1GN7rr/Ncc5I5LQkSjK+9wtFP/iiZgQQX51ucnKhweaHBzsEkcUPjhd15Jq5cxDTNW/ZD7wdr/d06AeyrK+D1CpIWFxcZHx+/ZzXtw0THGvHQoUPdttVKsVO1WqVQKHD9+nV0Xaevr4/e3t5b2l51x+frFwrMVW2W6h5BKFGFwPF8EBog0WSEIQOkEcdervLkyjIPSUqEJC0dCw+pm8w2ImbKFWp2gACajk8zgEhVKKlxFBkS01RsTyJlyLKnIGJ5Tac9yXxXGiVoZ6/GDBWBIJIhfghBqIEOo26dWOhTNJIE6rJ4qdOqXstA4qarbyfIxEOXRTVFqLQPinm/iUnEgpbEU1bcnmREJvLYa8/jhZJrylDbOj+SyxNWSSg0ssKnpiuEqoauCAayFjKCPr9BeWqBotfkTHwYKSAe+vgCprYfYDCX5KOHhhjMWPzV6QVmKw62H5KJ6ZiaQn9coTI1xWcvT5FIb2NeTbKkJvB0lWJ2gN4ntrPFiDOQTndnjfV6ncm5JeZmC8zOQDKZQBm1kNJa1z3oe7FSvRNUVSWfz/Pss8/y1ltv8fnPf57f+Z3f4Z/9s3/G1atXefrpp/nMZz7DU0/duVB54YUXmJiY2PDr2yg8UqS6HkgpmZqaYnZ29p7zVjsV1b28YTzP49SpU+TzeTZt383iRJm+hM5S06fqRlgnTtPatfeOazGqqlKzPYInnsf8q8+TjDzM73yLD/5PT900i52ZmWFycvKur2tl9mr4wz+E/93vAu1qNQKuAaOvv019eDe2126vOkHbnML1PF797tsc2bWJ0dHRdf8e7oSVlepKQVIngL2DlZmknbDv1ejk6ZZKpXvOQH2YmJ6eZm5ujmPHjq0Zr7Vyzw/oOjtdvHgR13W7YqdsNku1FRAhGcnGMDUNW42I3BAj9NGljy3Mtm+tbhBGHbJrt2PVKOium5gyIPB9ju8b5EbZwfHbfwNTU3CDiCCSqIToSEIJIhKoqiBwJb4SETd0tmQtKi2P+bpLFIKpCnqbRcp6AleoSHQQkDIU4pbBUt0nikIkBsO9QzjXry/T5tomDEnPxtHMdrwcbRtBhYhYGJCObIpGmzwDIVCEoKFZiNBtm/TLcFmo1a6SdRkwY+WwnBa+omCFPlIRRJGKpYGixRkZTTMYQU/KYLrssDsWcPLcDOMo1Mwci3oSW+ikQodCPENvb4aB/gRpS2UwY1FzfGZKLWwvpNLyODCaJo5g/O0rXHTjuFZ/uwqWkr6giZcfZHCkhwhxUxXaUcweSKfZvHkzxZpN5NSpLM0xdf0yyWSyO2u8XVzb3zZSXY1UKsWxY8f41//6X+P7Pq+//voDdRt/67d+iz/4gz/g+PHj/Kt/9a/et+7W9xSpdjI8hRD3FbzdSapZ77/r7FN2BDx120cVCuVte1DOnEEh4quvXULTB2/y/V0NO4B3Lpexenfgp7bwXH2C5Pg4yaU5Ups2dVdZXNfliSeeuKfXpQ4Ooj/7LLXXTxEBvaHNdT3L1UVB5twUJytg6ip1O2AwXiFoFvnx5/cyOnjvgqTboaOsjqKIc+fOoSjKHQVJtyPUzu9BURSOHDnySMRWSSm5evUqtm1z7Nixdf9tYrEYY2Nj3bZXqVRiYWGBS5cu4YgY0xUNoVls6Y3Rn0hz4btnmJMmodCQEmIyIDRiND3aRgrLCBUNgSQWNNnjlZnK7+XyQgvTUDk8luGN8TKqEhI3JX5oMVNqEsl25WvJgJZvdgyNkBLyKYMDY2kuztYZLzaRoWAxyBBIQaioZKM6cbOHZ3bk6U9bfOtykVRMJwhCnjg4QH1bD299e3Z5CvvujqsiJZFQkYbRNrBY/jpIUr5NOvLxFQ1bUdu+vbQ7w7aiIZYzTt/18hUoUuIqGknfZ8CrtR2RNB1TFYSGgWnpxAyVw5syFBs+N+arNCfmuOq3SEpJGkk89FGRLOhJwnweGS5fkYRSM+CVC4vsH06jayrDWZVKK2BUjzj3zbeZb4ZEMQVDBtQUAwWo9Y1gJiyQkthtxIbQMXVIASlguDubLxaLnD17FikluVyOnp6em/Y+38/272p/74eBlbFvuq7z/PPP3/dj/aN/9I/4lV/5FYQQ/Mqv/Ar/9J/+U37v935voy71nvBIkeqdTimdPc3R0VFGR0fv60Rzu6DytdBJZFm5T9lpvZZTB1Ff/ytqikkwO8OgFlEIlNsKguwAwihioD/NzKZN1C7MkYw8vK9/HfWnf7o7F96zZ899vS7zRz9O5q2TKMCMluKKmSfyfernJ3D7xwjCiDAImFwo8I9+8BBjgxt7gutknL755ptrzoHXo/D1PI8zZ87Q19fH2NjYI7EQ3jnExWIxDh48eN/XpKpqV7xRs32+fGoaVda5Nj1PzZXM1ZvgBjixNHoUoiHpMRW8hEU2KZgt2URERAgMIizfJR04VPQYdccnZirU3YBS02XnQJL+lEnVdvnTE3MoSALR3jP1FYVgefTthpKEAlt749TskDACBYVA0FYeKwJkRDm0sKseX71Y5PBoipiuMJg2yCcMdvQnebthk87EEQ4EnoceukQIXKG1zRuikKZq0SHHjNskJdtB6xXFRJESRGce356jNlWdWBTiLXsTh6Lt4BugUjFixK0BMtkePDOOb/v4YVsevHMgQa3cpPL2GaajJH1eA4TCsF+jpCUJNJXMQA9GMokfSEIpcf2Iq0st9gwmMDSVuKmxazBByw3JNuf5+lcmmTVShFZEIDRMGWEogj1behnoTbFzIMHm3nh3dWY9WBnXtmXLlu7e58zMTFdh3tPT0000eq/xXlWqG5lQs9JV7R/8g3/AD//wD2/I494PHilSvR2Wlpa4fPky+/fvX7f921pYD6l20kUcx1kzkSUV00ntHKO5bRNcn0REEfNnL2Ps3Xvbk2o6piMrHks1F2PXLtLnvgmA/c1XuTw0xMDeg+jxNA0nuC8HJCWbpeejL/HcX/w1p81+ljSLeiQot1zChoMS1zCUiK1jIxjG+pez14tGo0Gr1eLYsWN3FCTd7tTdbDY5c+YMO3bsuKf5+MNEp+0/NDS0YW1ygLmKTTNQMBIprtabeF5A6GrkhYYa+u39SkWjHk8hgxBdUUgZ4DZ9QqGiy4B45LHfL3FR6ydhaaRjOkK0TST8UFKxPb5xoUDTC5c1wgJPEfi0Q8l1AYbWnkOen220VZp++3MRhJJQMwnDoLvSYwcBTgPOztQZzFikLY20pfLf35piqmgjgXhcR0nqbDbjUFxiruHiCI2SarFy1trUY8TDCAUIhYIV+fhCQ5ERgdIWOGlEJCKfRNRWQhu6QLNMPD3GaH8KNWiSTKWZKXsYCuiqSgzJzLlr1Jp1low4ddXANzNYUcAue4lgME3fjm2kEybHt2R59UqJpbqLpStUWgGZmEbcUBnOWgwlVIqf/2uuvXORs6ldqLK9fxqXAVsSCgN7NjHUEyduqDy9o+eB02TWCh0vFovMzc0hpcT3/Vuq2IeJ96pC3siA8rm5ua43wZ/+6Z9y4MCBDXnc+8EjTapr2Q0+CO5Gqp0b6XqqRv3pp0hevcpzzUka11WGP/nCbQkxHdN5cpNOIpcjvbcP9Z1Rmhcu0Gq1GJsvcqInIpLlO7aQ7wbjIy+jvPo6S36CqhqnISHvN+mdPkNhzyEyPXmSlkbDCe7bvnAtdARJsVjsJkJcryCpI/55PzNQV6ND8vcTdF53fKqtgExc6zolrfzem9fLnJ6qcH2pSd0OEYREQqVipNAFKJGHZxi0WhGmFqGK5QQ1oaCGAWk8dssaw0GLgt+iLGCh5tGfMuhNmVxdbJAwNBKmihASj+Wbo1C7m5y+BCWCmKayqSfOZLHJlt44gxmTuarLQsWm0QyXXYraTkUSKLd83KC9q1puejh+hCkCRnMmlhWj2PQRMQ2ZTJL3AmaXGoTu8uctbNehMemhImkKnVBRCFDJBy36giaLegJf0bBESNaUVPUkiVQMXdcpNjz8MGKi2GIoFlKruui6Qqngo3guXugRiyJiCgQomLJtlNHQY3x722PETYMdQiFtafSkTD752DBfOb+EkJLelOSxzRl2DCRJVEu4//bfMrCwSNPI0tBMWoqKL1WGexPsOzjG49uyJEztnsLE14uVVWwnd9cwjK570XpmsQ+K96pSbbVa93Vg/dSnPsXXv/51CoUCo6Oj/Nqv/Rpf//rXOXnyJEIItmzZwr//9//+IVzx+vBIkerKG2/HbjCRSNwyn7tf3IlUq9UqZ8+eXbcBgn78OM5n/5Bk4JG8cYlweprpngFUIW5aXYH2zNHSIkbz8baQZ98+tHfeIZvNMv/2acIdT9Lfm+pGx90P4QnTxPn4j6P/0ZfY5Rb4ljmMZbfYLF0+XLmA9fJPcG2pxcW5OpfnG/dN3h1IKZmYmKBQKHD8+HHeeuutm763HkK9m/jn/UDHV/jAgQP3bCLSUfW2F18EL+7tvYlYZ8sOVxcblJs+LSdszzbDNtXFZcAuu0Bdj2FrGcII3LZ1LzpghD7xwMNSIwpmmio6AQopJUJaBpt74kwUWkwVbcIoIm5qHBzNcObKPHYk8JV3b5LZmMruoRRRJJmr2EQR9KVMkjENVW0wX20hNXNVVFtIhEoEbdu9po8fRAgB6aTGpkyMLb0JMnGNcstnqtQCXUcPIIwgUMHSIJ/IYghJqRFiRpAwDQaSGX7s+BEUw+DaYoPpks256RplO6BW9fBDD1WFdExDEYLZOrh+C8f1kEIgpIKFIEKQCD0iYZMWAdXeITRdZ9kymXLTZyBtdcnww/v6eOXCImlDY6Zss2X8HM4f/tfuS45Q6POaxI2QyVgPZFNMlW1esvrW7Yr0IIiiCMuybtmT7sxioyjq5qFuZBX7XpFqs9m8L2X/Zz/72Vu+9vf//t/fiEvaEDxSpNpBx25w27ZtDA4Obtjj3o5UO6rb9YaXA4hEAu3oUfw336ShGHznSycIjj/BlfkGuwaSN/n5dnyHO9mkyT276du1i2hhgVSzirx6lSVj302rNfdqtg/Qe3Q/4Xcv8d2lgAU9RaioyMjl8RvnyV04hTG4+6bc1/sl1Y4gSQhxXw5JndBzz/PuSfzzsDE3N8fU1NR9+wp3VL19KZOluku1FdxEqi0vaKe6SImiCvTAI1je6QyEgq9oHBiMcbUJQUR3NzSQIaGqowIi8rECj6KIsdktEUQBz+/rZ7ZiU256HNucZaZiM5ixkFLiXJvgWqRQUd59X0dE9KdMntqR58REhXRMJ26oHBzNkIsZXJip4foeHtxkhh8FHoFrcMNtEURgKO0OcWq5arMMFVVTCGVA040IIvAjMBXIWCof3NPHwZE0Xz6/RCVsULMD7EBQ9dth4guFJnNVlyuLTaRoHzacZTGRkBB4AaHdIvAjIlUjUDRMGaDJtjAqGzoM4LHz6ccYGOnh1StFxhdbeKEkFVMZzVl8eF9f1+VopmJjaCqjpmT+la9TvH6SlfYiUkCiN0ty82bKM2X2DqVIWxrhe+RZu5YH7+pZbLlcvqmK7ZDsgxxS36v2b6PR+FsXUA6PIKl27AYPHTq04e3A1aQaRREXL17E87w156d3g/Hhl/DffLMtWBq/gXXsKOGyEjCSsktciqLgOA5vvPFG96DgffQj2H/wX0hGHk+//RWCl46TzSVJxXTqts/XLiy1b7730BJOWhr5Iztwv3IJXUY0VIuUDEBC8IW/pvyDPbhejpi5tkfxetDxCO7v778pgBvWR6hBEHDmzBkymQy7du16JARJnTFDvV7n2LFj9618zMQ1FARLdRcFQSb+7uPUHZ+rC00MtV3p6UISd1o4ita29hOwYKRwYkNoto0QEj9oh4crqorhtdCikKoWI9ITuJ5PrtFkplrma+9cpRXppOMmhbqHG4RcXWgQMzS2mwHDhXm+mNpOIFQEKrqqMl5oYWgKfWmTsXycpbpLwtQ4OJZmLB+jZvt4ocrK7DYhIXJbRLqOQEdVQSBIxnTKts+mmI6ltVdTrsw36Em3w8fTMY39Q0ke25zhS2cXuFGy0RRBNq6RsXQMTeHEjQqX5xtUWh4NR3Y3XAUQE6A4LazIJR55TGvpjp8Upu+SjHy2ajZbnz7Iru2DTBdb3Cja2L5EVQVb8hajuTgf2teuMDsuR+Wmx6VL0zQvvUM2ckmHLg2lbVmYDl3yP/oxeuQANTsgZ7X1FDHj9irfjcbdyE3X9YdSxb6X7d9HZeSzkXikSHVxcZH5+XmeeOKJhyLpXkmqHTemvr4+9u7de39q4m3bULdsIT05i4gCGhevoubHsN3wJuJqNBrdKLVOVJn+9NO4f/UFomKReL2E9/q3qL74YQBmyjbFhstYPk7DDdZVVXZsDaWm0L9lFCZmsBWDgaBOS9V42+zFfeMtvGef4YUntgAwXWrdUyXc6SDs3LlzzRb5ejNQN2/evKEdiAdB5/emaRqHDx9+IJJfGePWmal2ZqxLdYdyy0PXFFQFDK+FAhgyoKTGiQSgKswttDB1gdt2DSRuafhhRCwKqekWjlBxUdAUuJYYJGbEqEQWthugKzaNeoNmKIiZBk1XA2FRNzIYRITLc1XHjbC9kOtLLQxNZUl/9xCQsnT+x4/u5FuXlvjzt+cotzw8xyMUKqECISpKEKLg4WKgKZLXLhfQVUHMUDF1lcG0iaoopEyNnoRBb9JECMmfnVzk7fEKQmnbKw4kDbwwwg1CzKZCqeHS9Nq/S4WQuOdgyRBPqCDbLkshBp6qY8gQQ0qeSnjsf3wHPgFXFys4lxwiLYaiG/QldRwvxAsklqEwnG3vfldtn3KpwY3TlwhLDQpajL2NJZqKzsn4EDKXI3z6GTwzzuJigyCQDMRhZ3+CuPnedVXu1YP3TlVsJ0lmPVXse9n+/T6pPmT09/eTy+UeWvXSIdXO/PRe3ZhWQwiB8eGXSP7H3+W55iT1Cy0+9L/8P4gUhUxMJ2lpjI+Ps7i4SH9//03Zn0LXMT/+cezf+z0aisGr37mCPnCAQNNx/JCpUoupYos9w+m7now7B4SBgQGe3zZE01jgRnGGaHGGvAg5aQ1xKj7AZreK885FTg1mqDkhhqasuxJeWlrqugmt5ZCUSqV48803yefz9PX1kclkbvo7VioVLly4wL59++4aev5ewfd9Tp8+TV9f3y2+xPeLlKV3W76dGWu55XJuukbVDpit2hhhhOV6JCKHROhTiCdoU6hKCGiqJA70JE1G8jEmizZOXQHZbgcDxKIAR9XwvIi6EuJ4EW6oMJhJIhwf2wsplV2mAo3IyNFSOiK/doRZoenS8kJe3NPLrsEUKx3rh7IxfvLJTeweSvGfX53kwkyN0F/RB17+uyqhB0GEp+l4oUrLD7C0EFNX2TuUJp/QgHb83PWlFuWWRyghoSnYXkQrCIkJQeD7VBwXxXORYVsYFUJbFUyEgiQV2MyZGUwRIJEYholuacgto7RicUxVYbMVsb1Hw2/W+PbVJaYrERVPIR03EdC2A215NN4+yZnXpimqcUzVQCA5FxvgAhJr3y42P3mEa0stqi2PbKxdbdeKbfVzNqZxZaF5Tx6+94sHacM+SBX7vaj+fZTwSJHqww6sVVWVxcVFZmZm7ml+eifox4/j/vGfkKxUSJZniV05g/H001SaDl/5zhmycYM9e/YwNzd367996km8L36R2mKdKAjIXzzF+M4jADyzs5epYovDmzJ3JLyOQcXKA8Lzu3pJeAcw/+LPWfI1DBEiJbQUnaVmwDuvnsIf2cQzO3tv8R1ejY7D0eLi4m0dkqIoYu/evURRRLFYZHZ2lgsXLpBKpejr68P3fWZnZzly5Mg9OWA9TNi2zalTp9i2bRv9/f0P5TmqrYCWHzBVbNsRVlo+vh/hej6BohEpFmrUXnuR6rvve9uFvpTB0S05snGDbT1xJm+c43RsCD9SiFSVdOAQlz6lQOAFERIwVIVjm7NMFm3cMKTs1PAjE0e99WPueu127p+/M8uxLTmGczEuzze74qq64zNZdMgnlv/e6nIrOARVdnJmIBA6HXNiCTiBpLDo8ValhaYJhCLwwoi4pqB6beVww/UhBL/SwpQ+ttAQ0seQoGnxtiewUDAjH1s10KKQQE8QaCqqYqBEYMZ0+tMmSVOh5YaMDMYo1Fz6cmlGtw2wd+dWvnVpka+cmSemBrx5YZZzV2bpX5gmbLRwtQRShbpqkpQBI3pA9dkX8VJZik2fmKmiKIIbRbvtDoHA0gS9afOePXzvFxvpwbuyiu0kL92uiv0+qT4YHilSfZiIoojZ2Vkcx+Hpp5/esPaG0DSMF1/E+bM/A8D7wl9T3rWPz37tDJlcFtvKMxKwpkBKKArmJz9B+t/+DgowcWEcr38bsVyGhhPQkzS7Lau1MD8/z/Xr128yqKjbPm+Olyl6Au+JF7HeeBMZBAwGTYwoIBW5jFwd57oeYyofpydp3rYSXpmUc/z48VsESasVvqqq3nQ6rlarXLlypStIWFpaoq+v730n1mq1yvnz59m/f/9N3YONRN3xabo+tVZA0w0IonY0Wizy8SMfQ0rygY2tGsSiiNZyZqhOm1DzSYMwkhwaS7M9rXHtT64Qw2dC76Gc6CfeCtjsVYkl4tRSOZpuQDahY2iCg2PtnecbS00aYQTLFodAJyIVJQLPD1msOLx2ucBPP7WJUMquuKraCrD9ANexeZfv24HjfjcvdbVgpz3nrAeChu+BEKQim0DRqMv2g1hCYEYBpgxxhUZNMfCFii/bQQGKhIR0aQkDoQhMrW3KHqBi+SEKCkk14sBoks35BNZyO7ZQcxHKu0K/lKWxfSDNyakGtuMxV7cRrss4OUwzgado9ARNpGowOJDBO/40CV3jhc3ZrnofYLbSDqubuFzBN7Vbnudh4mGR2+rkpU4eaqeKdV2XarVKOp1+qOTabDa/L1R62HhYVWqnPRqPx0kmkxs+L9Bf/ADuF7+IdBycyUlO/vHnGdj3NJsGcyzVXBqevG3eqHb4MNltmzkyMcvXk1uwzp/GfPED7B1O3TYHtRPYXa1Wb0mYqdo+kZT0Jg0WgiSPvfwk6p/8EYfsBV5LbMJWdK5YvWy6/A6P70qyee/hNZ9jtSCpXdE63bb23QRJURQxOTlJJpPh+PHjuK7L0tJS1wu3p6dnzTbxw8bCwgITExMPtWpeuVqjKu2VkmzCoFh1MVwXX9FJ4+EoOiGC3XmVqRAylk4sHsN2AyKg0vI5M1Vj++40Q0GDdBgQWiq9cRWzFLDVK+OTx0jp6JrCjv4E1VbIobEMZ6brbXtK59bDXD6uEkYSL4gQCvi+x3fOXGP7QAqGTaS0SMc05heLtGyH/WMZxpeahFFE1Y6QaMsRbmF3Jahj7tC2dYhgeYWnosZJhS4AqcgjEAKB0q5Olx2NNRkRCBVDhugyIpmM0ZeMo5gGrh/Sk9BpuiF120coEiOM+Mj+PvqSJtmE0Y5Yc8Nb9kaHsxYDbo1XrpTaDsjL4eWaqqBHAVklJOpPMrTFJCdqjPX20J/Su/eHuhOQMFXSlkYtprBnd++7ivyHXKUC9+xTfj9YKw/1jTfeYG5ujkuXLnWr2Hw+/8A+Aavx/ZDy71GsTH1RFGXNNuyDoG77VD0F88WXiP70j3Fcl/0TVzlx/EMs1VwUIcgmDOoL4c3/ZsW6jPV3P4X89d8kHbr0zlyjNrOdxM7eNcmuo56NxWIcO3bsFkLKxHQUISi3QgSw+bnj6K0lzn7pNSSC7X4ZB42jrXk2/bf/RGz0n8COHTc9RqPR4PTp011B0ko1shDw/M48KUu77SnWdV1Onz59kxuRZVk3eeGu1Sbu6el5aJ6j76VRf2e1Jmlq7XlkGKFIieI76FISRSGpZdP4wEogYhq7kyk+eniUphvwxniRxbqP64e4YUil7pCPPA635rmR6COfNSlNhbyW3Ew1jFGdbxDTVC7MSXqTOt+6LMnENLb2JXCCEM8XSD8gVFQ0GVJvqeh628A+GTMZyVr86PFh8rpLtTDP1PXLRFHE7rROKj3QXgkL2zutphbhBSyHlavdfFSFgLTv0hQ6/or3pECiSYkmJBYhdWFghQGOamDKkJZhEVM0gghUQ6DqGr09MfYNpzm2JYuUkDBVluounz8xjXQbJFNZ0nGTsZ5497Aa01RafsjF2RZCEQz6Tay/+FMGr9XJpneiqBZVtZ2RmgtaZPpybNq7l1zK5OV9fURuu1p7++1JdF3HSuW4UBJoWvt9kg06Hr7v3S3z/fD+1TQNXdfZu3fvTVXsuXPniKLoJo/ijbi2R8Hfe6Pxt5pUp6enmZ6e7qa+1Ov1dXv/rgcdsgmikEWlnxc1iyErBktzPNeawt5/uB0dpUpuLH/411yXGRuj59knUE5MUFBjqCdOkH7p8C3PZ9s2J0+eZNOmTYyMjKx5TR1/4uvTIdJrkYrpzD7/Yb51LeRUJUSRksGgSSpykYFH69/8f4j/j/8Ye3gTVdvHb9WYvXGNQ4cOdVszVdsnlBG9SYPFqkPNDsjE11YQ1ut1zp07x65du8jn82v+zOo2ca1Wo1AocOPGja5Pbm9v74ZFvnVWp4CHatTfUfo6fsBi1eXbiwWuLrRoOD5hFCJRsfAJhYKHioogn5IM9feQTcaYrzrtFmwjYLZkIxDMVR02kWS71m7v9wgPRVNIRi620lbBqorA9kOcUKIqgq39KhOFFhdna+3WM2K5chQEQgNCfF9FAHkBP/P0KIc35ZZ/V4OcOXMGXdcZNE3M+QJ2KHhuU5LXZEQyprNUcwmjiFCCqSpEMsILNELTQI8kCV1QbbVrVlVR0ZIGgwmdgbTJkhORS5ucnqyBIhC2TzxuMJLU2TOYRlFg73CahhvQl7IYzbe7CZZcZEBvkh0aIhO3GOtJYBhtwqu2PKaLDd4cr3BjoY43P8/Q1BWea0yylBghUNruUqnIZ7feYOT4bl48vhVreT0mZWkQN7qpJo7jcG5invmFJeJqgKdYKGb4nqliO+ikOb1fWKuKLZVKG1LFrjfi83sRjxSpblQbsJN2EobhTWk292Kovx5UbR/P96kvzaAnk+gf+xH4m78AwPziF8g/8wQNL2K24lJ3gu6/iaS8xYSh95N/hxfe/jUqLZ9008X4wl/Ap366+1zlcrk7B7yb/3EqpjOSi1EstqjbPn9zbpHp/s0IZ4ZUo0oi9KgrJoM0kbbN4r/+Lb77Qz/LnFQo1xr8vQ8dAs3qrtykLQ0hYbHqoCqCbGLtKm9paYlr165x8ODBdRtlCyHIZDJkMhm2b9+O4zgUCgUuXbrUbRN3ItPu5/3Rqeyz2Sxbtmx5aK3mTsvX9gPOz9RQFMFcxQEiZAQE7V1UV2n73bpCJdJ1PLOfrUbbkzeUkpiuEiJJWSpNN6Tc8vmjsyWy+ceQAgpGnp5GyFAUUFcNKlLHsQPScY1szCCb0PGCiIWaS8UO8AKJgko70nz5tS/PVTu3tZodtI35NcGpU6fo7+9nbGwMgO3bt+O6LpOzi0wV6hSlR2+vQSqewEPj2lKLIAjJxlWSlkoYwXDOYqpoL3tZa2TjOj9ydIi4ofEX78zheG1Rk64K8nGDwZzFvqE0P3xkkLfGKzTc4KY934WFBRZnJvkfPnIMO3j369MlG1WBt8YrFKstLp6fxJq5QVlLUjP7aSg6PYHDJq/CjJ4mPtDPc88fo+WGdzRwsCyLXVtGmXMtgiDEtpuYYZMTJ05gWVZX1POwW5fvR6V6J7K73Sz2QarYR2FPfaPxSJHqRsBxnO56yWpzgo0mVeHbTE3eoG9ggHQyRd/xLfDaK8hWi3BhntI3XuW17E5CGTGx4PP4cstXEaLbGu4IHkQ8Ts9P/Cjx323HFbmvvIJ29Cjant3divuxxx5b84O8lvtSJ+O0avsgJXYItUSOcqih25JzVh9DQYNk5FENBAtf+DLz+4+i9I/wpXNLZOMGhqYgBHxgdw8v7O6hZrfFMKs9baWUTE5OUigUeOyxxx6otWpZVjeJqBOZNjc3x8WLF0mlUvT29tLT07Ou53Ach9OnT7Np06aHvhfbafkKBDNlh0hCoeHh+hIZhiAUVCnbzkAyIlA0rGwOicAy2mYhtVYA8baKt+aENJ32bLUUQt3IoMqIJjpOzUXVEmxyywSxPnRLRxWCQ5sypEydgYzJxFKTbEyn1PDwJbQJdYVgaZlZy02PN8fLFOo2OXeOvTu23JT4AWCaJju3jvHzQ4OUmx7Nep3XLs5RqpUZiyuUXAU3gmLDY3NvgqFMjI8fHeKN6xUiJPm4weFN7RzZvSMpYrrGSD5O3fbpTRoYmsbLB/oYysZ4ca/W3fMFeOv8OKVigd179mAYOj1p/aaZdbXpEU5NoZ89jRQ5ltQEBS1Oj99iSUvRVC2ivgG2bRmhGUgmi00SpsqZqRqmpiAUseZ6TMrS+MDyDDWmZJmesDl8+DCtVotiscjFixfxfb9LJJlMZsMJsKNZeC+xXiJfq4otl8vMz893q9jO2s5aVeztNCZ/G/DIkaoQ4r5bA51qbs+ePWsaoW8kqc7OzjJ54wY/89IRfLQuobkf+UhXCbz0ha8Q/tgm+ntTjMt2iPFoPs7jW3PMlG1GcjcLkfSnniJ48y3806cBaP3ef2Lm734KV8rb5sfezn2pQ6qZmA4K5BI6CT2BmzY5NDmFbofUFJNE4EJ5iXBgCG9qgZgew0kO0nQDRnJJFqoO5aZHNm7cVpDUaa0ePXp0Q28sKyPTpJTU63WWlpaYnJy8a5u4Vqtx7tw59u7d+0DJRuu+VgWqTZ8bxSaVlo+mCoSUxPHaN6rlujAWegRAlMzgS4lj+1ycqZFNGGztS3BkLMuugSR/emKai7NNWp6PCEMcJC0tRohKvRVRj/WR8RxsoZPWVXRNYSRr8dL+fhpOwHeuFjF1BUUVGJHEQywrdpexXK02vIgT4yVm5n1eOjhKPLN2y77T2s4lDDb1DDI62EO1FVCsNnj98hyL5QaTtZDNiYCkHpJLGPz0U6O3hAvEdI0IyaZ8nONbs4QRXTFX3fG7e751x+ePX71IpWHTVFLMXy6CFLx8oJ8war/vYrOTXHznOlOhQVpkEEj2Oosospee0GYu00/flkGWQo2t2QTbYjoHRpKEYcSlhQa5uMZSw6XccEkYyi3v3c4M1bbt7vfi8TjxeLyrDSiXyywuLnL58mXi8Xi3it0oUc97Tar32+LWNO2mz2qnij1//jxhGN5Sxdq2fV/jnZ//+Z/nL//yL+nv7+fs2bMAlEolfuqnfoqJiQm2bNnC5z73ufctoBweQVK9X0xOTjI7O9udn66FjSDVKIq4fPkytm2vaW1ovPxhvG98k6hcIlUrYZ8+y+W9Bwiitky/s/ISSclsxeGDltYlViEE1qd/luCf/ypRs0H1+nXEV75Bz2f+Pi0vIhW79c1+u3Zyh1RTMZ2P7B8EuQBIJos2+tYX0b72VahPc9GRKMke8iLkIhry6jj1pkN+8yhISTaho6sK37h4q1F8xzyht7f3lgzVjYYQgnQ6TTqdvmObOJPJUCwWuXbtGocPH96wueydUHd83hqvUHd8Tk1WCaKISitCkSFqEGFFPsHyHLWhGmiGxmBPgiCMMHSFCDi2OUsgJQlTIx3TUIWKZag0vQA1CvGEQbd9C3hCo6bHiITADdrvaWX520PZGP/wg1v57rUyZ2cqXJlvslh1cEOfdxdhFDrMulDzaXkK1niTZrjADxwauKkbcbuggJSlk4lrTFaCtmnLXB3TEtRrVa6eW6Qv1+4sWKn2/vTtHKdWP3bS1Dh5/gr1lkuup5+l+TpTRZtIwt+cmefx1jTj37nGeBSjrCZRFEiGXvt1CYWsITC27sbCoq7qmIrE8SN+6EgvQ9l2Bu14yaXcCtAUlaSpEIbtmWknonD1+tha721VVent7aW3t3fNdujDMLt/2NiIlvOdqtiTJ0/ym7/5mzzzzDP39dn8zGc+wy/+4i/y6U9/uvu13/iN3+Cll17il3/5l/mN3/gNfuM3foN/+S//5QO9hgfB9zypdnYpoyi6bTXXwYNUwdBeMzl9+jS5XI7du3ev+UERpon1Ez9O6z/8BwD8K5eJxrYgl29ltyPBDpRsFvmJj1P5rf8fMpnj1LSN9s3T6Js3r+l8dLt2codUAYZyMT55fISq7XdTdKq5D/Laf64SpHTeSo1hhj4V1WLYq3JpqYZjX2dhaIife35zuzJYZRSvhO1Q8e3bt68r1Wejcbs28ZkzZ5BSsn379oeq8F2JTuvXDSRSCHqTJrbTQPV9JAJb0ZAShJCYAgb7swzmLPxQkorpNByfQsMjnzDIxNvtz639cVIxjcvzDVioMY+gTYTt97cEDELioY8TJVCikFcvl1iqezy3q4fhXIyX9vexVHeXY9NCSrWAKIwIl/99m1NDDE2lN21h6W0SXx0EcKeggJVE+fyuXsKo7YGcNDUajQZLS0ucPHkSoEtAI7lk97Oz+rHLTY/Ja5cRQJ0EhaUmCzWPgWREb7OMf+IyX/Iirpg9lDSLhAwwopCmohMjYteTB0j3jTJXc6nONpivefSlDPbENcLljmPKaov5VpJ7FEXdNbEwDLuWm50wjLsRze1EPasj29Y7uni/8DDEWCur2F27dpFKpfjc5z7H+fPneeKJJ3jppZf42Mc+xtNPP31X9f8LL7zAxMTETV/7/Oc/z9e//nUAfu7nfo4XX3zx+6S6EvdCfJ356eDg4EOvlDq+tzt27LirA4/2+HG0r36N2sQ8RhgwdvEE1bHt3bnnWiTYwdLSElcMg73PP8f8xUlsoRF7/XW8dJaqnb2FVDtq39vNVFf+XCqmd+efF5dK8AN/h+DECXxbQRUqjqJzIdaPBJRqlboX8s20xo8/v71rFO/5EbNLJa4sTnL8yL3Hoz0MdCqGUqlENptl06ZNFItF3nnnne73+vr6HlrVmolr+EHEQtXG80Nmmz6EIboM25WkaBsbSEBJxtgxlObxbXkuztVJxTQU4hwaSzOci5GydBpO24WpYntMFZsEoYmvqnRqTF2AFrUfX0qBqQqkFNQcn29fLRFKyVAmxvGtWYIopOWFaIrAMjRko05LNZFy+b0RCkxT4PoRs2Ub2w/pSRhMFBpICTsGkncNCrhdfmzHxWfbtm14nkehUGB8fJxms0kmk6Gvr49kPI2CYKrUwvFCzpy7RE82Se/QIDuDKqZj0zt/g+r1BUTockOLsWjG8YRGhIonJBnpsHlTH/ld27BTFjR9cgmDnQMJpko2MV0FefN1r7STBG6qTqNlo44wDImiCMdxALrkup5KbrWop9FoUCgUOL082snn8/T29pJMJh+pKvZhK5wVRenqLqrVKr/927/NV7/6Vf7rf/2vfPe73+WXfumX7vkxFxYWugHlg4ODLCwsbPRl3xMeOVJdLzrz07179952dWOjsLCwwLVr19adnCOEwPrUT5H59f8dBViYWsCwUl3SW4sEO/mkS0tLHH/8cfQjRyj8b/9vris5QgTad07zgcNjaz5fKnarKf5qUoV3VdENJyBIDTM726C19QDR+ByObdMXtBjyq8xraRqqge46BK+/Tint8eKTB5ktO3zrzA1en6kzNjYC+qOxuB2GIWfPniWZTHaTb7LZ7Jpt4pXexBsx/+2QymDGZDQfZ8CpcuZ6EUUGFPUkoYRQ0dp0qAp82TbLKDY9MjG9S6bQrtqgPV/cOZhkumRzcbYOy01bISVxHTRNxWo5DHl16rqJkTRYqnl4QYSqCHJxnQjJmekqb09UqdoBlZbXlioZcWQQocgIhCAeupiOi7B0bpRcbpRanJwoYxgKGctgKGPyU0+NdeefK8nzbvmxK2EYBsPDwwwPD1NteVyeXmLm+iK6fw0LjUsljUKlji1NHtuq416+QHl8Fr24wLyepif0OR0bxAwDZowMsdAnErCjN86HXjhOXz5FOqZ1Z7SvXSmyUHUZzJiM5OK8fKD/tte2Gp33haqqVKtVJiYm2LdvX/tvs9wm7vxcp118J6y0Cdy6dSue51EqlZicnKTRaJBOp7urKQ9rT3u9eK8tClOpFB//+Mf5+Mc/viGP+7CtbteD7zlSlVIyNTXF7OzsbdWwG/lct3MuWo3VClx182ZyzzzJc699tx0N98ZVEp/+KKDfQoJhGHLu3DlUVX3XDtAwMH7mZ9j+X/4KK/SwXZXWX/4VfOan1nXtq0nV8zxOnTpFb28v6cF+5iYqbX/hUosP7hvg3NfeJDE1STZ0eak+zjeTWygqcapC5/W/fJXw+jXmd+7Ec32O7d9Bsenf0iZ8P9AxmhgZGWF4ePiW799JTZxMJrumE/fTknvXMN/j3HSNsFigMVfE1i0yvk/Cb7Hfr3EyMYyr6wihEiG4ttTk4FiGBgEJs/28K8np+NYsAkHDDSCQhMshaFIs56wGEaGqcz3WA4QkWz4KMJA2UJXliph29RpKiRAShbaFbYiKIEJDYoQeI0GDUhTHrpTwRfvAGAKBG2HpIVcWm/z5yXm297UFdiurvbXawp2vd36u2gq6QqRMXGOh6vDnb89RbHpYusre4VEGE4LxC9epNHyankN09RotxUSTIcXEZgb8OugJhIReaVOMEvRnTeK9PXzo+Cjlpk9xvn4TsX/04AAHR9OAYDhn3df7tFwuc+nSpZvct1ZXsfDuPul6CBbaB4zBwUEGBwe7e9rFYpHJyUkURem2id+PXc7vxYSagYEB5ubmGBoaYm5u7qF5ea8Xjxyp3umUEYZh14v2bvPTO2E9UvXOfmM8Hl/TuWglbqfANX/sk6RPnyZZrVKpV7D/2+dI/P2fv+nfuq7LyZMnGRoauiUpJb9rK6mjB6mdOIUrNMLXv4O3dRDjAx+462tcSaodh6RO67pu+yiifdPOJw0e35bj+NaXmfna63hf+RuG/BpRY5LXkyMMeg0uW70snZ7Hv1Zn8Nghik3/ljbg+4FGo8HZs2fvaDSxEndTE6+nTbyy3dnxx50qtliaXiRoNKiaKZASTajkCEgRMKSHzGkxhKIQM1QUJOdmqgxlYt3HWUlONTvADSIaTkBcA8cL0aRA10FT22sgTbW926pKDSuUaJrADST7RxIcHssynLNoOAHfvGRxbb7RrpiX79G6rhNzHHpCmwBBSbPwQwVEuGyc3yZg148IQknL8Xj1sk3LCxnKxLrE1VY8B7h+SEzXUJX24aDlB9RaAbHlVaFLc3VGchY1O2SualOzA/wgYu9wisW5ItcvXaDlJXBCjVBVmdEzKFGEEBEtVOb1FCNelVDXafRvIW1Y7NmSYyBt0ZcyKDa9W+a9KUtn99D9H/iKxSJXr17lyJEjNx3cV1axQHcW2/HB7lSxne+vp4rt7Glv27YN13UpFotcv36dVqvFpUuX6OnpIZfLvSdk915WquvdZb8bfuRHfoTf//3f55d/+Zf5/d///Q2reu8Xjxyp3g6O43Dy5EmGh4cZGxu77xK/owC+U5ul1Wpx6tQpNm/evGb1sxq3VeAmk1h/92do/dt/hxAC/7VvEzz1JNr+/e1/txxBd7sVoFRM56kffIYvLJQxp29wMjZE6g//mP7+AbS9e+54TR1S7bQ+VzokdVrQpYZLylJJx3QabsD1kV2EH8tx/tXXcG2fopJgIp4jDDyi1ACholE5eYVDpQn2/uiHb1GIrp6t3Wne9qAoFotcuXKFAwcO3NeJ925q4tVt4rrjM1u2OT1Vw9CVbkXptFxqF68iWxGuoqFFIUoUUDWSaH6T6fQAO/duxp1rEEQRlqYSMzQsXcMNQmbLNumYftPMEiRhJBnKxvDm5mlEoBHhYyEF+EH7sCSkJBQKZTsgH9fJpwxUVZAwtS6x/PCRQX7rlWtYGtg+6AooqqAvl2L3zCTnzX4CofCu4X6Iqkb0xkwG8gmqtodpaGCHxHSVuarNt68U6EtZXF9qYhqCaitgeNji6kKD+ZrNTMlhse4ikGTjJnNVh+uLDRRF4PgRQ0bEQt3j0ulFhG0TGjFqqk5L04mHHoFQ0FWBIwx0GaEpEtGXZXM+gW7F2ZVJ8KF9/Ywsuy1dnm+uOe+9XywuLjIxMcHRo0fvmj26eha7mlzvtYo1TZPh4WH6+vo4c+YM/f39FItFxsfH0XW9W8U+LH3Ae1WpNhqN+/rcfupTn+LrX/86hUKB0dFRfu3Xfo1f/uVf5id/8if53d/9XTZv3sznPve5h3DF68f3BKmWSqVuFueD7h/djVQ7N9YDBw6sO/fzTuIj/dgx9OPH4ZVXkEjsP/gvJH/tV5kvlxkfH79rBF3dDVCOHiXZLLNUbTFLnNRv/3sS/+z/iXKHNocQAtd1uXbtGsePH79pb05KSdxQsLJmdwbRqZb6t41wSXkJ+8RJEpUa9Uji6XF8RSUd+aiRpHr2IvMXTxN87MPkXnyOhhfe0r6s2f5NBHSnedu9YmZmhtnZWY4ePbph+4B3ahMrZpyrdRMXgxslm/0jaRw/5NLpa+Rf+QaO6CGOSksKEIKalgAhqcaSRNk0C02foazFzoEUVdsjHTPY3p/gO1eLhBHkE8ZNM0uAhFnj2qJHqRWiIVCAuKaSShg4XkjFsVGjiEBRMTUDRRG03BBNCJquT91pE2ux7iJ8jy15i4mSx2DWImaqvLyvn5Nvwdx8C8nNN/soBK9UId4q4KfySN/A0hXOzlQp1H1eu1KiZ9kE5PFtOU5PVrgwW0NXBfNVl6YbEkQRQhHUWh5aEOK2PLLSxfEkftBCV3SaEjwrBUJBJ6Kdo6phEfCYO8+57CaIJTBNky1jaQZTJmnNZ3KxwpWLZ4kGs/T29vLczhxNT27I4W1ubo7p6WmOHj16zyOBtcROq4l2rZWdtdAx08/lcjfZJ3YqaMdxyGaz9PT0kM1mN4wI3ytSbbVa90Wqn/3sZ9f8+iuvvPKgl7RheORIdWUF2lGqzs/Pb9j89Ha7qqtzQ+/lZn078VEH1s/8DHznO+0PWbHI5G/+G4ofeZknnngCTdPWdESCdlv51GSV8aLN/MAheoLrJKKAocY4/OvfJPG//M8oaxgbdAwZOjaNa0W2rTxBAzcpPFOZONX9eyhfnGCstAiezen4YNvNR9W4auRYiHzcL57mQ699F/uDH6Yo84z1xCg2XP7q1Dy2F1JsuDy/u4+Ge+uaxv2gM+NuNpscO3bsoX34V7eJL00VcApzVOpFLs9FLJZreJUWvZUFfPJUVIuE20IxTBRFIAToGniaRdOPUFvtdvnBUUE2nkAImCq1kBJG8zEabkAY0fW5BfjowQH6dckrby3wTnwYRyhICf2mxvaeGK2Zy1yyehAoRBGkYhpPbc+zWHM5OVXl8nyTp7am8Is3iMVMnEghZqrsHU7RnzZZrLmcDwxaBnDL50HQ0CxuOE2aXpOZYpO8GmCYBpFq4EiV6YZN0lBQWw2mqz6GkBBJ1CBA8yOUKCTueyQ8m56gQTU2hCt9EjJkZ3OBcS2FbSZwI0FRi+HSTq1RDYFlJul5+nmeARw/YvdQiqYX4HqSQI8zOpLgA3t6idwmS0tLlJaruKi3F/UBPKOnp6dZXFzk6NGjDywYulObeD1ip7XasJZlMTIywsjICGEYUqlUujvZG2WfGEXReyKWajab78sq3nuBR45UO+iIdxRFuYUYHgRrkeqaQqF7xFoK3A6UdIrWD3yUxBe/TK1RxT1zgexjz2H7Evy157HQbisbmsKB0SxuGHFkdB98dY6aYkKxyuy/+Q8M/d//L6Tz72aC+r7PyZMnux+u1YTa2cVbSajw7r5hpelTWZol6/nknjyI6dg033iLZ2rTSAQl1cIRGi3dpKRaFJsWqT//Nks9Q0yNjNIzlGe6ZKNpCvNlh2uLje7s8EHQmaebpsmhQ4ceusJvZet6pD9Let7lWk0hrlRQp2aJ/Ag7bEuIarqBayrU1Thx6SI1gWZZRAgGsibDmRgDGZO9wxl2D7VP57Nlh6RZvcXntoOUpXPQXeQbSDQZomuCSFfx/Yj+uEpZ+gz6TZoiglSW0azF+ZkaLS8knzTosRS++/YEH3p8PwcPKlxZaDKcNelJWjTdgC+dnUdTFVQB4YoAcgCJwBcqZcXAUU1UJK5UGWg0aeJR1WMECKotSatQRgV8wFbUdrtWyvbeaOjT5zcZDhqUtBoKkiCCcS1D04pT1JNkfJu4FuKi4aESaJDrSfLEzh4GMxZvjVcIpSSua7ywa5UCOZbtumWtbt/ncjn6+vrIZrPr+jzfuHGDcrnM4cOHH8ph7U4rO8AtVezdZpuqqnZJFNgw+8QwDDc84m0tNJvN98SY5f3AI0mqtm1z6tQpRkZGusbeG4XVpNqZ1T6M51oJd98+5s6dJz45xzs9O5Fffh1Lz7Nn18htzSA6bWWJJGXqiFwS44XnUf/6s7ya2ERUkej//k/4yP/tp0in4zSbTU6dOsX27dsZGBhgfn6++/wrCfV2svMwjLh85TK5hMlLzxzrVpjK0U1886+/y4UrcwSRpKJaqFLiKDq2rrJInH2FaezSPL0zMU6ndmKk2+skKUvj+NYs0DZAX0+LbvUstmO6MTAw8FD/Rp3nni07nJmuomvt1vWmHovCYgUmJhgql5jUM1RMk6pMoAcekRT4EQQatPQYqqqjKgrHN2fpT1uk4xpxXWP3ULL72ncP6QznrNvOoR0/4OJb18n7TQwrJFBNkpbGvpEUrufQE7aYU+M4io4aSi7ON8gldKQE3/Np0eAjLx9cFsHAjoHUTa8xHzcQy1F+QoLsxLit/GyoJu2WrCAUgjoGkSKIpAChEIiIohYjFbmMeVUW9SQZ38VWdSQai1qSqmqx4CUo6EmyfpOqbtKnOjyWllyLWWweHcIVGm/fqKC4IYausK0vTl/KusUL+E7vm9Xt+4594KVLl4jH413jidWEIaVkfHycRqPBoUOH3hORzu2q2M5nNAxDXNdFCLFu4dDt7BOvXLlCLBZbt33ieylUehR23B8GHjlSrVarnDx5ckPmp2thJal2dl0f1nN1UCqVKBQK7Pi5T+P8/h8RNaHXrVP61quw/cduO49d2Vb+wO4+QinJHBliKe4T/dWr9IY2hcVF5v/Df8b7e5/k0nJCTDqdvun5OyfiO4klirUW/+crp0il07TMLDvd4KYF+aMffgJncIaB829zfbbMlJ7GinwSkcekkeVirJdk6LNn9gaZlIFfihEl89RrSV67UkRK1jVfXb37+MSmOONXLrBjxw56e3s36C+yNjrPPVu1mVhq8ezOHuZmi/zx38xTd31cxSKvpmipBqnABRmSixxKarty9zWTCFAjiCsBoWfz5OYe8pnU2uYIK3xuVyauVFouX79YoFZKQjpBInDJ5uJsGc22A7aJ8BCUtbZNoaFA0w2I6W33n6T0+dRHDzDQs7YmIGXpfPyxYbb0JfibcwtMLLVYrDm4IV31L/hoftv4vw1BqCgoMiJaPpBJFEIhEVJQ0WIkAxeLkCXFwlENhIRIKLiqhlQFFSONGY/RMk1m83ESCD50eJg3xyukrPYBMmGqpCyjW7mvNmlYD9ayDywUCpw5c4YoirqWlqlUiqtXr+L7PgcPHnzf9htXV7FhGDIzM0M2m+26O3V+Zj2E9yD2id+LKzWPGh45Uo3H4w91/7RDqlNTU8zMzDz0XdfJycnuDlU8myXzc59C+e0/oUAMpVQi/8oX+OBP/dRt57FrtpWffQJz3qZw4kTbuO7UW5TmrvPYr/6vWKtOfysJ9XY3jUajwXfeOkNPby9bhvIs1V1myw4J890KYThn0dObof7085QvzbDpxhVuuJCKHAaDBnudAhKIyQCDCNsLUKpler5ygsrYNpTRMXbt30Kh6d12vlp3fC7NNWj5AWP5ODcWyrxxapwXHz94T6faTrUJsutStJ6fX6y5lFsu1ZZPqVjj1Rs3MMpFfCOPUFSQEQUziR6FNI048dAnHkbolkKkJ9BDia4qqCqopkHdlXzxxDiPD0SMDPTgL0fYrbwx1h2fL55eoOkF+IEEISnWPGpVm1C090p9I4mp6UwUW2TjOmcn6jjpXYRCoKsCI5T4IZgiRFd8PvnMHrYOZO/4mlOWznO7etnen+AbFwu8eqXAYtWl4YWoQmJoMWp20PUzNIlIy4iGVFCjiFBZXhlBYkkfX2hUzDi6JmlgECEAlRAoxXoJAV3XSKUtdg8mcDzJcN5ksujw4p72Ycn2QmKGyg8dHtwwUdtK+8AtW7bg+z7FYpGpqSkKhQKGYbBt27a7bgS8lzh//jy5XI7Nmzff8yx2Ne7VPrEjkHrY2MiVmkcNj8a7aAUMY+00lI2CoijcuHED0zQfaNf1buiIhYIg4Pjx44yPjxOGIdboKPteOIb7xS8xFDYwX72KuXmU0Q++uO7HTsV0Xv6xD7BgOtQ+/3nK6AzVbKb/3X+m/PGfZLQ/zWDWQkpJsVi841ypUChw9epVHj+8jzcmW10rwpXtz05leXxrlpOTVTZtG2T7UzvInbpM76k3WbRtdEIUCUgYCOoMRVWumj3MKTFyNyZwJ6c49c5JlIFBkFuR6d0ITeu2OztVmu0HXJipM7NYRjp1Pv3hw6RS6z/Rdkjq0nwdKWHvcIqPHhy47U366kKdP39njkLDRfN96oUySrXKsF2jJ7CJBS7vxAdxUBEI9NDDijykMEkRoPQN4Cgavt2+2WmKwNQU+lImw9k4wzmTbdtyxKXNwsICly5dIplMdiuJ2bLDpfk6uqYwW7YpNzwiBGU/BMVEIkhrEteLKDRcLsyG+BEIRScWtTNSK06AkBGL9ZCXDw2zd3R9qvVOEICiQG/SZFtfgqYb0JMwWGp4nJ+t4QcRhqZjaCpj+X5yCZ03rpXa+cAS4qZOJp3F9kNqdRcUgfQjlAhU0d537YkrjA1kma+6JE0VTVHZNmAwmo+zVHexdI2fevLWRJuHAV3X6e/vp1AoMDIyQl9fH4VC4aZd5U7y0fuREHP69Gl6enq6O+vrmcXey8rO3ewTwzAkm82SSqUe6uv/fvv3PcTD/EO6rsvMzAzpdPqhtns67kU9PT1s3boVIQSqqlKzfd6YXSIc3UW4Z4mhc98EwPnDP0QZGkLbsxtYOx91NSwNZkcHuP7ky5jXx3lHMbheTqH+yTcxdu3if3hxO7t372Zubo7Lly+TSqW67kGapnWdqRYXFzl27BiGYfBiIk61FdB0fS7ON25xyumQ3lTRxtRVktu38uQPHCM4cYLJV75NoWrzZnyYKS1N0UjQ47VQIjjgLPBafIyLpIjNVfnG//llXvr9/4Sycwff7t0Dg4PUtBimodCTMGk05wmVgAPbxrAsk7mKzUzZYSTXnrOtxEpSDiNouj5NLyBhtt/aTbe9C5owb3b2SVk6s8Umv/fF80wUmrTckC12ASnaqTGe0AiB1xOjbSMCVcMKPBxVxxXg6iZ2IkULhaSuEUpQEeQSBj/5xAjTJRfLEMR0jXzSJGUlu2rijtH8O++8w0xDUqkpNAOFiu2jCuiLaxSX2okynlAINYOy7dFyo66BgwR8oZIlIBAR2biK1Ew29cTXTUqdNarRfFswsq0vyUjO4m/OLlFs+hzfmiemK+wcSNGX0kmYGsO5GM/u7OH3X72BoanEdYVc0uTUZJkglIQSoqh9fYqAVAwObO2j4YQMZExGc3E+uLeXC7ONm3ZL76fNez+IoogzZ86QTqfZunUrwC1ipytXrnRXVvr6+sjlcg99zhiGYTcgfnR0dM2fWTmLXUmqaxlPrDcTdbV94qlTp1hYWGBiYuKh2id+v/37twC1Wq27TB2LxR4aod7OeF9RFGpNn0gq9KctFp96ikZtCqbGqQmT7G//LgP/7H+mmczcVg3cQbPZ5PW3ThImB7EeH2CwJ82b74zjKirby/PMnQuY2prkicObyeVyXSu0paUlJiYm0HW9q/I7duxY9wP47oxPu2Whfq0bcEd4U3/yCa5Ym3j77CSLS1UixyNEECPAkCEXzD6umnlCFOqqyZSeZs5ZInHhGl6sQSL0qSf7KKUynFN0bDPJC4c3IXWVqwsN/vztOZwgwtIU/u4zY1i61p25ff1CAdsPuDLfYKwnhutLgihiqe7Smfx95dwShia4Ml1mQPgkWlU+0hhnZq5E09pO1ezBEyoXzX72eAUeb04zZWS4pmeZNjP4QiUCIgFpLaA/n6XgQi6pE4QSxw9J6Bpb+uJs70+wazDN49vWFtisvJFt27aNQrXJ5doVZqbrKBIaAchqjUBR2wIiTQFFQUhImCoNNySSIXoU0e/XyWuSKRI0AoWYInGDiEtz9XVZ861co4qtEFK9fKCPvzkrMQ2FuK7xzM62W1XncDWWT/DBff3EdBXbDxnOxNBVwanJajvU2wBNhsQMjSd39vOJx4ap2e2qunNdA5lbRVoPG2tVgiuxUuwURRHlcrlLspZldavYjR4XhWHIyZMnGRwcZGRkZF3/pvOZXW080WkR32ubGNpdQsMw2LNnD7qu39Y+MZFIPPD9829zpSru4i/5nptPSinxPG9DH3Nubo6JiQkOHz5MtVrFtm22bdu2oc8BbSeWq1evrmm8Pz09Ta3lcbVhEUmJF0Rsi0Vc+MO/QLObKMALaZ/gF/6vnJi3u2rg41tzXSKDtpPQO2cuUDSGQOhcXmiwczCJffkKly9MoSBRpeQT0RSZn/275LeN3nTT8n2fb7/5Dp7UsNQIU2kLN/r7+29KzFitwL2Tefp0yeaV84vM1xzGF5vYTZeY0yBdLSJkSC6wOW/1ocuQumox5tXY7yyy2y1wyezlhpElEIJGIAlVDVu3GAyabPcraAmLb1hj5HVBIdIZiSuMZAzycZUDvRZXGm0F61vzDoYCnh/SdALS0qfohihBSCOIiIKQmjBQgJj0Odac48nWFP+x9zjzahJTBqgyYMSrkSDEUXQm9TRlxWoLc1SBLlQ0FWKGSrB86ElbOtm4zuaeBMN5i7iurdvoovM7vjBb4y9OzqIKhflSndzcJHN6hoZhITUVRVFJWSqhlGiKgt10GWoWSPgtcv05ricGcL0IXVfYlI8TN1V2D6ZuyUW90zWsJreVX4dbvYnfGq/c8t8LVZvTU1U8u0E6EWPnSA8/fGTwlu7C+4EgCLqJVuslrpXoiJ0KhQJhGHZTZjKZzAMRTBAE3e2DTtLKg2Kl8cTKTYf1GE+8/fbbHDp06JbKtGOfWCwWsW2bTCbzQPaJzz33HG+//fZ7Mr9dxnvWy/9bXalKKbl8+TKtVqsbKN5oNB44qHyt5xkfH6dYLHL8+PE1rc0URSGmtyvPmXL75nOmEnFj3xM8duIrNFCpLJTI/Zf/hHjpJ9ZUA3dET9v2HKAx06Qv3ZbHb+tPsPPgs5S+e4LJP/syab/FZbOX6A8+j/nsM3zo5aOkLJ1Wq8V3T5xiTvaQSCVxEDy7I4vbqHQjuTr7fblc7qab7FoB0x1k4hoJU8XzI3qSBkFMY+fAALYzhlFYYmGmAA44UsOIAjZ5ZSbNDKFQ8FHo9RuYrQqXM5vI4iN8nwhBFQNph9SEJGy5VFRJrSm5vtSgP2gyWj5HYKSxhYYX6yeUEULStggMW9TVOAN+C1uzaKkGEoEnFCSSi2YPUkh2OYsU4xax0CNQNXoip038ToXrehahAkJDFZCM6QxmDPwI4rpCpekzkLbYP5rmyW05Eqa+7pWhztpOJCWnp2rU7JBKqwWOxxYR4UgXVxgEGO12ahDSm9TIJWP4bpWx6iSeEecCm3G8CIkkbWnETJWEqa2Zi7oWbtd2Xfn16ZJ9kzdxGHHLe+HFvRqFqs2IWCTTO0ZPvue+jew3Gp3d7bGxMQYHB+/rMRKJBIlEoiv2KRaLzMzMcOHCBVKpdhj7vQYzbMR1rYWVbeKO+Gj1yo6UElVVb6liOzPa1ejYJw4PDxNFEdVq9YHtE9+L1Z33A48cqW5UW9b3fU6fPk0mk+HIkSPdx72do9L9ohM7pus6jz322G3fKJ3nTcV0ksumDvlknKlSgoXjz5F66zukI5fY1Ys8lfwC3k/9PbJJk1Ss/aG4dOkSnudx/PhxWl6EMttiqeZimSo7BxIkDBX5xGMQT1L67B8RCeh16hS+8U0KYYnghSe4eOkSQ5t3UCv63Rtky4fRoSGGhoa6La+lpSUuX75MIpGgv7+/e7O40w14ZSrIygiuvzxpMhskUByfxaqDScA31a1scUsM+3WWhEHDD5FWHKlqVNCoqjEyoUMoBPvsRWKWh6coBAiaWvvAUlNMSprFc81JaqrJIWeeN+OjFFSTcTIUhEUTjapiEA+9tqWfgIKWQJWSlmowbWQ41pzloLKALkMUYChsMZ7vx+kdQ69Cv67R9CMMRSVuqWRiBqGUqMtvU1NXQIp1qYzh3bWdYtNlqmizZyhFGElyCZ1my8H3PK6bWTKBQ8KyqEVgCDBNnZihMmLanGh5eMlBhKKRthQSMYOmH6FrCn4Q0SRgNPfghhsdrJWnuvq9oBOyOHGBJw7sXNPH+v2C67qcOnWKrVu3bpiDj6ZpDAwMMDAw0B2tdMROiqJ028R3apN2CHXTpk0MDAxsyHXdDvdiPNH5+bs93oPYJ64n0OR7GY8cqcK9BZWvhU4qS8cEYSU2klTvxThCUZTu83ZMHRpOwJ6hNIfGxujNOuh/ehUA6+QJ0qk41qd/Ft/3OXXqFLlcjj179rRncjGVD+7to9LySJoqCaM9a/vGxQKRlsf5wZ/Ef/VVCk1QJIg/++8U3nqNI//TPyGIp7hSLKxpQL46dqrRaLC4uNhVRnas+zoxWCtxu1SQ41uzXJ6vU3d8pKqQTqVBhmSsDJWGgZya4ll3kRPKKNvdIufNPhKBR0wGBChMmRkUIB26VA0LRUpUJAoRc1qKOa0BwFDQ4MXGOP8le4CyZhGQQAqIhQGhItjkVTBlyJDfoK5Z5EKHqjD4UnoHUlURpokWs7gRi2GokI7bPDPYx2KjrXIdycc4PJahL2WgKoJvXyktuyYIXj7Qd8/ioLF8nOmSzULNaY8DwgjbbncnHKGRScToycdpFm1ihoquKgymLWarFVRFISsDCqFgqeFhBKCpKkfH8uwYTNGXsja0SrxTlwLardEzZ86wd+/edftlvxfofD7Xm2J0P1iZMrN9+/Zum/TatWu0Wi1yuRy9vb03tUk9z+PkyZMbSvTrxZ2MJzzPIwgCPM9bs4q9He7XPvFBiXXLli2kUilUVUXTNN56660HeryNwiNJqg+Czlzz4MG1dxs3ilQrlQrnzp1bd0j6SsVeKqbz+NYcM2WbkVyMoVwMhj+C06zifvnLAHjf+ha+qnJ26xa2bd9+S3soaWnEdNE99dXsFfFh5Dj8sz+K+t8/h3L2HfwwIirZ1P6P/y+9v/DzvLh38K4ikZWCmk6Ky9LSEhcuXMD3/e4c9m7S+x0DSXYPpXD8iKYb4vrtav3JfUmkq/HEz/0QzaZHz9vXoFhgYsGj6kkWfZ146LPTKaCavQgERhQCkkgoKFJyzurlhplDJ2SHU2KrW2ZBT6NKSai0Oa9sxNFkiEQhHTl8KJhlMTmEl+ylpmUIA51c0mS+5jKcNak1XaoNn1Q8w4F0nBf2pEiY6i2V6P0KbTJxDc+PmGq2GMpYOEFILqbTnF8i5TRRhMAgpJntJ3JCDFWQjRuYakSpXCHXk6N4o4RAUIhlUUwLX7YzVt+4NMuZ64KfPj7AaHoIKbUNqwhu16Wo1WqcO3eOgwcPPlJqzlarxenTp9mzZ09X3fteYHWbtFKpsLS0xNWrVzFNk1wux9zcHDt37nzoZibrQaeK7Yi4tm7detO96n6MJ25nn+h5Hn/0R3/Eiy++uGGt36997WuPxO9xJf7WkKqUkuvXr1Mul28714SNIdXZ2Vlu3Lhx14SZlVhZqdZtnzfHy0RSMltx+KCltfNXf+LHkfU63ne+g+/7NP77n7L34z9C9plnbnmtQRDcdJJc3aIbHMpy48PPYuqCs9M2kRAoNjz3v/8f9PzYx0m++IFbbrh3imqzLIuxsTHGxsa6M6XJyUnq9Xp39SCfz9/yYUlZOj90eBBDVdkznKLe8tiX9cjrHgPb96HrGtmshjY0RKu3Dz1WJR1GNOyAtB5RFWP0130030VzAtQwoAFkQxfftAiIiEsPW8/SSuskDRWESohC+yxuoOoqTS1FaBnM736K/SMp/uiNGZwgpF6yiYcRioBG08H1A/pyCXJJk5YXEEnWbO0+yAqIG0TU7YAgipirOEwv1qnVQgI9hiYjEpbOUC5OwlSZKSv4vk+z5TOQS+H7EQnPpqoZ7Zl0IPECiabAEzsHaNgeRVty9epVbNu+Zw/ce0GpVOLy5cs3hXg/Cmg0Gpw5c4b9+/ff4i72XkJRFPL5fPfQXalUOH36NKZpcu3aNcrlcjde8P1sh3bUx6vFUg9qPAE32yd6nsf4+Dif+9znGB8f5yd+4if42Mc+xg/+4A9u6Ez5/cYjp/6F9ryhc1JaDzqB4rFYjF27dt3xj93xkT1+/Pg9X9dK4dPBgwfvaXerXq8zPj7OoUOHmC61eGu8fIvCt277VOoOzn/8dxgn3iSdSaMoCubLL2P+5E8A70rn13JI6pCiqYSMXz7fXg2wcrzxjVNkv/01ClLniL3AsF9H3b8P89M/SzOW7HrNfvtKqbtGsV4F68rTeLlcJhaLddvEK0UbdcenVHeYHr9COp1mwo4TQVdJDHSv44tnFlisuaRiOpauEIQRizWPIIrQVYVc3KDUcpkrO+0POPDMjjwfOzzIa1eKXJitcWa6Riam4wYRCUOl5viM5mLsHEhSqPuMF5ukLJWlusdYLkZKcdiUUSlGKZYaLkiBImDPSOqefh93w6W5Gp97YwZDV5gp2bRaDrXFCg6CABVVg3gqyWguxp6RFCeuLrJY95GKipSQViO8UoW83+RGrIfAsFCWP6ZjPXGGsxb/8IPbGMrGuh6wS0tLVCoVEolEd1f5bjmhd0Mnc/Tw4cPviQH7evGoVs6rW9EdZ6NCoUC1Wr3JEOReI+ceBB1CHR4evqP6eGWEXWcu2yHW9RJsB3Nzc/ziL/4iv/mbv8kXvvAF/vqv/5pnnnmGf/Ev/sU9XfvWrVvJ5XIIIfiH//Af8gu/8At3+vHvq3/Xi3sNFF9ZMd4LOpL8dDp9k/BpvVhrprpS4Vu3fb56YZG5uXnCfc/zyVSK1pmz1BST9CvfIC8l+o//WHvW6YbU7FsrypSlIz2bc+fOsWfPHnK5HHXHR9+ymVruE6ivvkq6MQlAeO48i//b/4vXX/g47vAmTk/VUBXIJw2Gsta6o9pWnsY7PqNLS0ucPHkSIcS7BKsoLIxfYNvYGKGZ5fqN8k3mEqP5d6vBHzM1/vLkPNPlFo6n0JM02NoXZzgb4+RkhUxcQ1UECUOl3PS7ZgNJS+OjBwfY0ptgc2+CXNxgoWozV3OwFyJKTZ8rCw029SaI1VTqTshAyuRwzmHPSJYDu7fTcINly0KH2arD2LLrz71G192+6hfYfsBM2cfzA6ylBYxQwVYNfEVFNTQ0RTCSj6F7dXpjoOgJKk2fphPQ8CWuMKibOoEqkKEkGdeIJAykTXYMpEha7Y/1ag/YjunEqVOnEEKsS1CzFmZnZ7t5tu8lAdwNlUqFixcvcvjw4UcqAaUTELKyFb3a2aher1MoFDh58iRA92+zcs1to7FeQoW7Z8V2OmfrMZ7oGD/s27ePffv28Uu/9Ev3paF59dVXGRkZYXFxkZdffpk9e/bwwgsv3PPjbDS+p0m106u/l0Dx+2n/tlqtrrDgfnfJVs9UV+evTizWuXFjkuGeJGpigOpjezgb/DX+5BQK8Nwr3yRTr+P9xE/zzauVNfdFO04oK28q74pMsqSPbcL8Uhb/K18BCTVP4r32HbShCdThvRiJOHU7IB+P7ks5utJndOvWrbiuy9LSEufOnaNWq3WNNxTzVjXpSgxlY7ywu4fXrymM5tsZrY4XEUrJ7sEUOwYSvD1R4dxMjYYb0JcyMTXRJefdQ0nmKg4REkPTGEjHMLT2yk8uoZEydR7bkqHU8NislXh8z1h3d7EjuBrOWVQurC3ouhvW2umFdtxboeHSckOajkeiWuBAbYZer8mJ5DCTvZsINR3TUHEbFUY3xSmHeSYnK7T8gFBKnDDEV9tVpgBiusJILkbC0nhxb/9ts2tXm064rkuhUODatWvdNnFHUHOnm+Lk5CTFYpGjR4++lzuGd8XKVvTD9PK+V3QI9U4iLiEE6XSadDrNtm3b8DyPQqHQXXPLZtth7Pl8fkPDyNdLqKuxltjpXownGo3GLV2E+zk4dD6z/f39fOITn+CNN974PqneLzqB4gsLC/ccKH6vf7z7Ie610MlI7GClUX6r1eLahdPkc3m0RBpFCFBV1OeeJ//tb3BjYoErZo4db7xNs+4TPf0D9OUT3QoqaWpMTExQLpc5duzYLdXDTfO/n/hxtMOHcP7TfyZdbqBIaM0toVYiRrYNom7fwTM78133nAdpeZqmiWVZ3bB0x3GYmZmhVqsxFEthJHNsGupZ8zmGczHyiSYNNyCmazy/Ikuz2grQ1HZE2HTJJqYrSPku8a1Uq6oKvHalyELVQQgYSMd4blcPjZbN9LVLHNy7tmDkborXO6Gj8O1LmUyXWpy8UeVGsclEoUXNDqg2XMxSEccLqAuDw8E84cHN9Cb7Waza6GGTZ7b3MtUyma9WMTQVS5NYMcFs0W8b6goFBZW4oTKaj5FLGLfNZr3d36aj2IyiiFKpdNMq1eo2cScgvtVqcfjw4Udqx3BpaYnx8fGu3eajgo5Yat++ffc02zUM45ad0EKhwPXr19F1nb6+Pnp7e+97jv0ghLoWOlWspmlrGk+szoptNBoPbKbfbDaJoohUKkWz2eTLX/4y//yf//MHfi0bgUeSVO9EfJ2waiHEhoaXr4aUksnJSebn5++ZuNfC7SrkUqnEhQsXOH7kAIoR71avAJfm68wee4aJ4Bxi5hILWoojly4RtDSWPvBBlJhFylI5d+4cmqZx5MiRO/4+ui3JTVtJ/q//HO3PPs+Rb73BnJZih1sgOHkN/co7vDr/PLHNo8SNB5slTk9PMz8/373ZpdPpbrurM4e9eGYKy7K6beLOTfFupJYw1XbLM2Mykovz8oH+W1rhnf9euUM7nLOI3BYTNy7x2OE7C1nuV4zUEY1Nl1pcmW9QbvlMLLVIWCpey8YplOi3axSNBAjJ1FMfRNuyhZEgJGws8QPHRoile/jSazdw/IhISmwvwPZARhJWfD78KKLU9Gi4IUc3Z9g5mLrna165W7nSZP3UqVNAuxXZaDRQVfV9jUhbC/Pz80xNTT1yrehms8np06c5cODAA9nxrd4JtW2bQqHAhQsX8Dyv6+y0XiHaRhPqWtcLdzaeWFpaeqCVSWh35T7xiU8A7dHcz/zMz/ADP/ADD3z9G4FHUqgUBMGaBOQ4DqdOnWJoaGhN78714tvf/jbPrFLUrkQURVy4cIEoiti/f/+GELeUku985zs3Pe/09DTT09O3tKw6J71qy+PyfIPrS00Gr5xh4eR5jtgLpEOXet8Q2U//NDeqRfr7++/6+7hdS/Krr16k/vpbXLMVRvwaV8weVBmRTxmMHtrNc0/uYjR/bydiKWXXlHz//v13bVl15rBLS0sAXYK902m27Upks9JPdj1YWlri2rVrHD58+KEqVucqNv//9t48MKrybP//zD6TyUz2PUAIa1iSsCmitra4gyZoxbXa0ta+fX/6ahdb7eKL3dSu1ra2/bZa6Vu1xaCCQN2r1qKiSEhCQgjZyD6TdTL7cs7vj/Qck5BAApPMAc7nL0jCzMNM5lznuZ/7vq7yowO09nkx63V80NhHf+8gPpeHsAgmMYxJiLBoVjJZ82eQbTcy0NnMikX55OVkUNvh4ul3WxnwBXG6AvR6Q+hFkXDAj1EIk60J4k7NxKjXsTI/me7BAFcUZrJydnRzgaXPnDRaIV3Ep8Nk/kS0tbXR2dlJUVGRYmLb4OPu46lulopEInKzk9SIJt0cjbVjlwQ1KytrQv0n0UYQBNxuN+vXr2ft2rU8/PDD0/n0aqPSaCY7F3qySIPZ6enpzJo1K2p35cMfRxRFamtr8fv9x8TPDW8AsFsMLMy20TkQoH9xMUaDFfub24gXgpjb6xnY/D3yvvxlUidwgzG8JDk8eYaUFOxXXIK47wgcrUUnCpjECK5BP+5/vo2xaS+RdZejm3l8cwsJyWHKarVOeFcjWcDl5eURDAZxOp2yKCcnJ8sjIcMfazyzieMh7ZxXrFgxpbuajn4fr1Y5GAyE+aChF1EQCQ4MovV6SBKCiBotokZD9qx0+m122ht6adF7mJeXQ0rK0O92dpKFpTPsdA740Wg0BIUIeP2EhAgWUcBos6DXD/kBv1/fQ4rVSGKUHJQkIpEINTU1ZGZmytmeo8vEx7uITyXS2W5xcbGiznYHBwepqqqisLBwyvNChxuyjFVhGB7GLghCTAUVhtytbr75Zr7yla/whS98ISZrmA4UKaqjL8TSjm758uVR2V1Ijk3HjKQMDlJRUcH8+fOnzOlE6iJOSEigqKjoGLEdPTIzogxasAbLfDuu3/0ej2uQBLsN/zPP0tjrJeWyT2MfJyYOxraag6GRFm9ExJCZgXFeDuaDDWS31oEAF7mbiNvvwbd/H7qiQozrrkSXl3fMY0tlZYtepKH2INnZ2SdlWg5D50nD3Vl6e3vp6Ojg0KFD2O12+axvMhfS4eeB0W6wGSt44NUqJ0ccbjoH/Pi8foJuP1ohhFcfh1NrxSiKWOItLM5Op7HLRcjvxZSTCjqD3GRkMxs4f14Kz+9rIxgW8AVENMGh3e3CQBf62QWYjUaMBi1N3V5EYH/zABkJ0XFSkpy8pLM9mFiZWKowTGWJuLGxEZfLpbizXWmcJxbdx2PFuPX09NDc3Mzg4CDhcFjuNo4Ffr+fm2++meuuu45NmzbFZA3ThSLLv5FIhHA4LAd9h0IhlixZErWL4d69e1m+fPmIklFXVxf19fVjJsxEi3feeQedTkdeXt4x5xnSmYMk9uNdlFpaWuiprGTOW2/jGfDyjnUmggb0M2Zw8WevwJ48/hnhWGMeo/NIdVoIOXswv/YP4vbvk/+tW2vEpTOROH82yRdfhDd/Hi6fNN/ah0YI0tfdRcnqeczKjv4HV/JYdTgc9PT0YDKZ5Lv04513C4JAdXU1BoOB+fPnR+ViPzpYfXhJfcAbZs+Rbg429VLd2E0kGMKv1WESwoho0BgNpCXbsVqNFKQZ6O7pxZSQyoAvQrrdxLUrc+RUl/3Nffzl3y0MeIM4+n1o/F4sQoQZoptln17FnoY+0Ggw6jRkJVrISDBx8aKMSZfrRyP55ebl5U34Iix1rDqdTrxe75SUiaWbI7/fz6JFixQlqAMDA9TU1Ez5scJkiUQi7N+/n8TERERRpLe3F4PBMCKMfaoJBAJ89rOf5ZJLLuF//ud/YnUmP21PqlhRleZPU1NTycvLi+obsW/fPhYvXozZbB7hxFRUVDRlZcG+vj4++OADzj333GO6iCWHJBjfzFoQBA4fPkw4HGbRokVoPB7qf7+Fj7r8pIZ9dOstLDP5yf/izej+E758qkSOthDcvZuB8oOyeGtFKPZ1UJ4xn8Dc+VTrU4bSYYJuFuVl8qklOad8UZ8IXq9XPocVRXHMXVI4HJbzM2fNmhWV5x30h3ipogtPMEwoLGKP05Mab6Kl10thrp24SIj9b3xIR2M75aYMkiI+nPo4LEIYb0Iqfp2OJKuRJBMsTQ5hTsomKIjUdrhZmBVPYpxJPu/+23ut7G3oZcAbot/jwxAOYxQi2M1aIrYE9LqhQPVUqxGzUceibBsly7NPaacqjYCcil/u8GCGvr6+qJSJpSMTURRlD2ylMHw+VmmCOlbJVwpjdzqdBAKBKXXdCoVCfO5zn2PNmjV84xvfiOX7dnaL6sDAAPv27ZuyMmx5eTnz5s3DbDZTWVmJyWRiwYIFU3bnK5Wvw+EwF1xwwYjvSTZgx9udhkIhKisrSUpKkm8wOvp91LUP0PDWh8TVH0IrwgWeo8RrIxiv2YBh7dqo/QIfPdTE3lc/ILnhEN06C1khNx2GeLQifGjKQIw3Y86dwZz8LC5Zki6PvozeDU9VILVU6nI4HPIuKSEhgebmZvLy8qKSAiL9HxwuH7srurCa9HQPBrCZ9fhCEcRACNHZxfz2wwTDIrZwgD3xuUQ0OvS2eDLn5uDwQygiEqcJYjdEWJQ/g7AI6XYznQM+cv9jNLFiVhKeQJi3ap04XUEa2vtxOPsRgbBWj8ZowmjQkJ0Uh1arxaCDGclxzEyOm1CG6nhIDTaLFi2KmjH+cEOQ7u5uYPJlYlEU5WrDvHnzFCWoSp2PjUQicn7s8c5QJdet7u5u+vr6iIuLk2+ATnXiIRwO84UvfIHi4mK+/e1vx/p9O7tF1ev14vf7p+ygv7KykqysLI4cOUJubi65ublT8jzDbQ0LCwt5//33Wb16NVqtdszz07Hw+XxUVFSMEIeOfh9PvN2EIEJEEFkX72bG7jLiPS7533kXLMK/4TqSsk/NXm949qfe40asq2Np9buUa5PoD4s0mpLIE4dmQM8xeKifV4wmL4+wNZ6luQnYLfpjSqTRFtbhom016mhra6O+vh69Xi/7EqekpEyoQ3S8ErnUOe0YCNDY7UEDtPX5mW2KMNjVTU53K06DlUV+J0fMyZgjYY7YMsnKTSZgiifDbkKr1dDX14cWyMtJZ36WDedggIWZ8Rzu9OANhQkEBdbMS6b86ACVLS66XH6cXX0EgmH8Oj3otJgMBiIREZNRSzgCafEGEq1Glucl8umCkyv/DgwMUF1dPeUdq6PLxMPze8e6qRUEgaqqKtlQREmCKsWdFRcXK8qqcaKCOhrpBkgKYxcEQW52stvtk3rtI5EI//Vf/8XcuXPZvHmzEt63s7v712w2T2lHXzgcli8g0vzXVDxHRUUFNptNtjWUXJU0Gs2EBLW/v5+amppjdg5tfX4EEXKSLLT1+dDMnUf6t+/B/8c/ITQ149Yaeac9iPD//o5x5Qo+vW71cZuYxmO4mIgiFCzIJnv1HOLEi3H/rYxIZS0XuTsRNDrskQAunYlQVRXWA/spT52LM81OKDUNS3IimQkWfKGP3X7G271Odlc7elSoKFNPe1sbK1euxGq1Mjg4iNPppKmpSR6cT0tLG3NXMby0azXqubxw6CamtsNNp8uHKEKvO4hn0Et3n5ugL4jP002fMZ6IKQGv1kir0YrPHE/23Cx0fjPGRAvaiIhJD03tTvR6A0vy0jEZdDgHAwRDQ4YgBdnx7Knrw2zUsqeuj0AkgjsQotnpIRzRoNdq0Qqg0w8lz5hNWpLjjIQFgUSrCV8ogus/r9tk6enpoa6ublqM8UcbGwzP742Li5ONDYxGI5FIRK7QRKt8Hy0kN6ply5YpynBCEtSMjIxJd/kOd0TLy8sjFArR09NDS0sLg4OD2O12OYz9eDeokUiEO++8kxkzZihFUKcVRYrqVL4JbW1t9Pf3M3/+/CkTVOk8eHRD0nD/3xM1JHV0dMhD7aMFICfJjFYDbX0+tJr//D3RguWb9xDc8SKu1/d8HFL+3vs0thwiqWQdSdkTz/2EY8dwrCYDZh2UV1STfvFF5H7uFoQjR+jd8wF9FdX4AmFcWjMOnZWQz09/0yB9LT04jTay4nVYEu2cn2liME7PmzXd8s7skiXpZCVaRghkMCRQOMN+wvDv4Wusb3XyQU8/y5YUIOpNI+zf5syZg8/nw+l08kF5FYP+MLkZKczOzZT9Vdv7/NR2DmI16Wl0ekiw6BnwhXEO+Hi9qhMxFEIbDpPqd5ErBBnUGfHojSQKfpZ5OxlMy2IgfymiMZ5mPaTFa8iwm0kw67D4OsmZm8SsnEzmZQ7tBKUKwKFONwOeMGgEzAYjA74AVS39NDg8BEIRQEtEo0WvFzCbdGQkmLGa9eSnWalqHSDOpMVq0p9U6berq4vm5uaYuBGNzu+VysQHDhyQ8z1PdSZ9KpAcnJQsqCfbfT8cg8FAZmYmmZmZcqOg0+mkubl5hK/08IqiIAh87WtfIzk5mR//+MdnnaCCQsu/0gcq2o8pzYbGxcWRkJAQlbO20fT19VFdXc3ixYuPyXHct28f8+bNG/K/Hef8VupwdLvdLFmyZNw7wo5+H219fnKSzHK3qER/TR2vbX0D36CPQZ0JsxgiHgFD4WLWll6IPX5iZz+jd4HnzrLScLiaOXPmyGfd0s94fUHqDreS1dNGwNlLEA29egsCGlwaEwuD3diEAOd629GkpfJ2egHtpiSC5jjmzUphw8oc2vv8vFvfQ2q8ifKj/cxIjiPZahy3ZCwZQFS0DDA40M+A20N2VhZmkwEtGlbOThzzfPfNmm5C4TA+r4dskx+310tSgp0B0cr7R71YjVoa2weYiZeeAS8Bj58WvQ2DGMEeCWARw1iFEAYxQhpBErPTSFw4l26dhQanG71Oiz8YoWR5Nlk2A7W1NfRqkoi32UaUwFt7fez7T7BAdesA1e2DmA1a/CGReLOGijoHrsjHFZuUeD0r8lM5f14KWYlm+r1hDDoIRRjz9+BEtLW10dHRMaUNeidDKBTio48+wmazEQqFJlQmni66uro4evQoxcXFinrNoi2oJ0Jqduru7qa1tZUXXniBK664gnfffRetVsujjz6qqO5szvbyb7QJhUJUVFTIs6FNTU1RCSofTVtbG0ePHmXFihXH7C4jkQipqalySVgqcw0vc0ciEQ4ePIjFYjlmhnU0WYmWcS+iiQXzWPOVDF5+7l8Ijc3UG5Mp8HcTKD9I15GPiLuhBP3ChSf8/wyfkSXkpb724DEZldJOMc5iRExKJq1oNmIoTPZAJ/tqOmjs8ePX6Gkz2CjwB7BHArgdDg5HZtCrC2MRIgSr3qfh3wLVtlyadQnU6s0YrGZy5qTgCY5tEC8LvijicDjIitcxpyCfTldA9tx9tcqByaiVzynNBj0Ol58eT4AZyXGEBDjqAoM/wgeHOkgddOL1iOh9g9gMVkKEcZhTGNTZEAG/Rk+cJsQSfzcLsuPRzl/I/JUF2OJNDHjDNHW7+bCxD5NeSyAsoImEcDQdYebMWQT7Rxpv2MyGEXaGjd1e9FrodgfRaDS0drogGADdf95jnZaQqKHPEyIr0UxNu/uUzqklr2ilGeNL5iuzZ8+Wx3lOVCaeLiRLxLNdUGHoiE7qR1m4cCHBYJDHH3+cqqoqzj//fJ544gmuvPLKmBlNxBJFimo0SwYej4cDBw6Qn58vB+FGI6h8OMMbklatWjVidzm8IUkyNZDKKE1NTRiNRtLT07Hb7dTU1Mg/c6oIegPJ5y4jZW4ulXtb2KfVYxQFCrsr8P/iEXRFhQTXlzJoSzru+aXNbMDT3yOHso++WZCEwRcKo9WALxQhzmBg4YXLsC9ZiLmuhxSfi7YWB5m9IfBrEUQt8wI9tBoSCGq0EIngbnXitsCSSB0d+ni0iPR+FEBrMWOM8+FPsqFJSsJtsTFosOAQjbQNQMjnQtSbcJFAoKmT+v4QYo+eQCiCGInQ7o3Q5Q7xUXkDC/V+2nwiYihMc9BHmrcPW8iHUYiAJZ1sv4MkjQ5b0MtBRPq1JtI9vYjmRNK1QYK2BNbOy+Lccz/FvjYPvlCYo4d6uWRJGrnJFjyBEBkJZgw6DV5/gPbmBi5bUwgGMw39xybeSDcttR1u/KEIDU4vDU4f4UCIgD9IPAL2iB/RaMRoNZMYZ2RGioX2/oB8YzBeKs14iOJQgHkgEFCceYJkiTh37lxSUlLkrx+vTAzTYzrR0dFBW1sby5YtU5QlYiwEdTQmk4mqqipmzZrFa6+9Rn19Pbt27eK2227jxhtvPOPNHkajyPIvDA0Mnyrd3d3U1taydOnSEburtrY2QqEQeWO4A00WqSEpPj7+mHb/4WkNUgzSaDwejzxyExcXR3Z2thyRdipIO7keT4DDHS50vT1E2jrI9/ew3lUHwDu2mWjmLcBYuISLinOPuTC7fCGq6xoJ+wZZveJYf9WxjCOGl1sH/SFeruyi1xOko88/FPithWLNAB/WdOBx9hLoc7Gyt55KcwZHzMmIoobM0CA5oUFSwl7mhPqH1qIzoRUFyi1Z+LQ6qgxpOHRmdBpIEEMUBJzkBwdo09vIC/WTFRrkFdsc6oxJuHVmImhIivgQNBqW+BwIGi2L/A46DHZ8Wh21xlQyw27ihBBGMULAGs+RhBxmJJtpFkxY4zTE6QUuWZSO0ZpIRWeAjv4Ag/4Qs1Li2LBy6I785couuvsHcff3cuvFhaQn2Ua8VsNfG+m1c/lCVLS4ONrj5e2qdiKBIH6tAXMkSJwR8mZk4BdEbGY9BVl20Gio63QTEgQWZdkoWTGx2VRRFKmpqUGr1bJgwQJFnXdJ87ELFiyYVK+D1E3c3d2Nx+OZkjKx5DGsNEtEJQiqKIo8/PDD1NfXs2XLFkXdcIxCLf9KVoIngxQN53A4xkyY0el0+P3+U16jz+ejvLx8zID04Q5J4wkqDIlqX18f5513Hjqdbii55dAhgsEgqamppKenn1RQsbQLau/zE46IdBgNxGenYW6uw1UzFFQuiJBaXU5bQxNVR2az+PILsKcmAjDgDfL3tyoRRMjOysIXFrEN+20Zy6B/rAu7KII/FCEiiqTGm3AHwmhmzeHixQsY8IaxW/T0d/VgPdjGee4Bapxe6j0JdHo9aMMh4gdqqDOlImjApTVjEkOYwiGCughZeDFoRRLCfkBDt96CRQwzL9ALgEkIE9Tq8Wr0xIkhenQWNBpoMCVR4O9mTrCfOfognck5hK1WBHsOYZsNfWIiaclWjN4gBdkJbEgyExHAatQQ9AzQ3N7JkUYXfUE9qYlWjMOyXIvToM7r4pzLlpFi/9itRrIeHPSHqO1wUdHiQkDkSKebeZnxaCICGY3VmHxGenUmBDR4dSZEnY7BYITFuQmYDToW59qp63Jjs+jpcQfxh4VjXvOxkEZTrFYr+fn5ihJUKdHlZOZjJ9NNfDK0trbicDhUQR0DURR55JFHqKmp4emnn1ayoE4rZ9yrINnSAaxcuXLMu9VolH+P15A0EctBSfh7enpGGLxL5xThcJju7m6amppwu90jjOUnegcumc7bLXr5fFGXuYrwmkWYX3sFbVeANr2NBp0dDtTRVnWEi87Jx/6pC3mvqh693sSCvCy63cFjSoxjGfSPFtUBbxijQcvinATePdJDa6+PZKtR3q1JP6/JTEHfJ+InC32yj7hBP7NSrTQ5Bqmyr0Ib8JGrCRDu8eB2++jv7cZiSkQLaIQwmYLIatFNRNCQIIaIT0ynzWjHpE0lAwMe0YReb8Zu1HJuqpFeTSa5OSuIW5SLPdlOuNdHcnMf8SY91W0u6rt9xLuHytkXL84YeXYdbx66kM3ysmvfUYJ+L11tLbToe+lr0xEIBLjk/BUjLjCjbQ17PUFaer3MSrHgDkQQB90E332PRg+ELZlD0W46AB1BATpdAdZY9NjjjMQZ9fiDIr5ghIwEEzaL/oTlX+kCnJqaqrhOWsmAPhrzsRMpE6empk74JlUy7S8qKlKkoKanp8dUUB977DE++OADtm7dqqgz5lij2PJvMBic9E41EAhQXl5OZmYmM2fOHPeD09vbS1dXFwUFBSe1tvb2dpqbm8ec65uIQ5IULafRaFi4cOEJRVK6A3c4HPT395+UsfzHnbIujAYtWqDY10Xz6+/Q6AqTE3LTrbew1N2O1dVF5MJPUbn0k4hW65g70fFmOkeXOCc6IiMJjz8U5u/vtxIIC0PuQnmJdA0EmJsZjxD0kxByMn9hAVaLGZcvDIhjPmZHv49tH7ThGAxg1mvRajXYzHrS7CbqOt3MzYwnzqCXLQFfruyissWFyx/EoNOyanYyIiJr5qaOa6Ygrdlm1tHaWMfg4KAcxCzNw0a0Bt6s6abPG6C91489Tk+azcz+5j4CwQidnb2Y3C5mBPpwa000mpPoN1j4j6pi0Wsx6jVcsCCV+Rk2LipIxe0PyzdJ0v9hPFENhUKUl5eTm5s7JfmZp4Lkl7t06dIpT3QZq0ycmppKcnLymJ+/5uZm+vv7Wbp0qaLOnSORCBUVFaSlpU2Zac2JEEWRP/3pT7zyyis899xzijK+OA5q+Xey5V+Xy0VlZSULFiwgNTX1uD97sjtVKSfU4/EctyHpeIIaDAaprKwkLS2NGTNmTOiOefQduGQs39DQgMVikS/gx7tbtJkNWE1DO0dpd6lZuJDCZUvoeXkf7RUH8boG8Q0OEG+xE6qqZVFVDSxaQsoF5xJvyjzmMTUa0KBBowG3Pzymc9LxgsZHr0/6/qZP5FF+dADnoJ+5GTbsFi92jZ84XT+rz1kpl/KyEsd+rEF/iA8b+0mI09PS6yMiiFiMOhLiDGQmWBAZsvWTdti5yRby06x81NxPis1Ea6+PPm+IrATzcc0UbGYDVqOODw9UERD1FBWtwG4xEAgEcDqd1NbW0tbnp37QRG2fgMsXwR2IMDMlDq3Xg9/ZyyAmBnRW3GYDCRE/JosFo6hDw9CojEEPiVYj5+YnUzQzQX6dNqzMPuHrKt1k5ufnT1nq0ski2ftNl1/uWGXi7u5u6urqjikTNzY2Mjg4qArqGIiiyJYtW9i9ezfbt28/XQR1WlGsqE6Gzs5OGhoaKC4untAd78mIajgcprKyEqvVKjskSUxUUD0eD5WVlSPmPCeLRqMhISGBhIQE5s2bh8fjweFwUF5ePmKHNNaFaqz4N5vZwDkXFfGCOR5/fR3V9niCg14iGi1xQoi1lfsJVO7nSHo2yeetJPnC1Wji4xnwhjHotcxLsuAcDAy5PI1RDh4ulhMlK9FCvHnIIMLpCuDu72NGssA55yyf0M5cKk3PybDhDQkEQwKLcuy4A2Ey7EYGvKFjOnGtJh0Wgw6rUU+GzUxBVjzFsxJPWFZ9b98B6lxGLHYbjfvauWRJOvFmPcSlkDk7BVN6kA/3NNLe6yEYgbAQobvFRYJ/EJfegqAFsxhGo9fRZ0/HEwFRgMT4oTL5gkwbaTYjeanWEWs50evq9XqpqKiYdOPPdDDcjSgWF+WxysRShJ3P58NgMAyFVijo3FkJggrw1FNPsW3bNl588UVFeR0ridNaVKXxAJfLxapVqyZc15+sqE60Iel4gipZwS1evBibzTbh5z4RVquV2bNnM3v2bPx+P06nk5qaGsLhsNzoJI0ajLdzbGlrJxxws3Lt+VR3umlq7CKlu53Wfg95wT4ajUl4A3riXq/k4l27SFy2FOvylWiFZFmccpLMdPT7jxGrk8VmNvCJBSl8VHmIGZl6li0tmPBFbvjNQ3KccWgnHQijRUN2koXsJMsxr0F2koWCbBueQIQZyZbjCuqgP0T3gI+j9Yewp2RgQUtHv59BX5hdBzpJsBgQET8uM1tMIAxCOAQiRIJB+jVGwhGRkE6HaDCSYLNgM+vAE8IfEtAgkhhnJCfZQpxBP6nXUzqnHD1TrAQkByeluBFJ1nxWq5VwOIzJZCI1NZXm5uYJlYmnA6UI6tatW3nqqafYtWvXtOfFnk4o9kw1HA4fV/iknWNcXNykczKDwSAHDhxg1apVJ/zZ/v5+Dh48yKJFi46545+ooLa2ttLR0UFhYeG03ZmHQqFj8i2lRidpnZLLlMsXpJNURMDpCtDS6yUxzoi7b5Blgy182DJIXMiPV2egpL+WecGh7lqPLRH30mWkrComYdF8eWZyvJLkZHx9pVGl5ORkZs2aNeldw/DnAib0vCdan3Quva+hB0dnOxkZ6Vy0JJdXqxw093ixmQ3EmbQY9VpSrCb213Wx1O+gqaGDvZpkfDoDXo2BOCFEnBBitl2Ly5ZIWBCYm6zhI4cGlx90OpiZYmHjOTPJS7VOKt1HiiGbjnPKydLe3k57e7viHJykY51wOExBwcc3b8PLxL29vVFNcJkogiBw4MCBmAvq888/z+9//3t27twZtQSjaebsTqmB44uqtHOcOXPmSXW/RSIRPvjgA1avXn3cn5tIQxKMn4EqmUIEg0EWLVoUsw7CSCRCb28vTqeTgYEBEhISSElJob29HbvdTn5+viyIOi28c7hHbkCakx7HrvJ24vr7GGzvoqT9I1lUh6NJSsKxqBDHjPnMWDqP7LSRO6TxRnDGsluUQrJnzpwpG3bEGmn9Hb2DVDd1sbZoBoLOyIpZSei0sOtAJ75gZGgMqK8bXetR6l1hcgIuugxWOnQ2RI1ImzGBXJOAOz4RW7yZ5HgjS3ISKMiM49UDLRzuchMICSzIiOOmNbPIzUiZ8A2FVFYtKipSXGmupaUFp9OpuE5a6TMqiuJxZ3dHJ7iIokhKSgppaWknNfI2ESRBTU1NZcaMGVF//Imya9cufvnLX7Jr1y7FHSVMArVRaTyON8oyUbRarSyIYyHdubrd7pNuSJJ20na7fdI76Wij0+nks1ZRFOUSsdSp2tnZSWpqKrb/dLleXpgxYpdXkJOIJ9XGrMWzmZ24AkP5h4Q/2IfY3y8/xxGPyNNHBHR1NZj+Wc01KX5sC+eTtHAu9lnZ8jlnvElPS6+X9j4/dktYjrDTaoYalGz6CFVVVacUkn0qjLdbHfCGcXs9iG4nCUmJ9PghxapBq4H+1i6ExiZau1zoB13MCfRR6OtkKQLvWGfi0prwGYwY7fEkW+JJyYjH7fSSbjeTlWjmgvkpxJv1zM1NJycjGV8wzIosI4O9Dt5rrMNms5Genk5ycvK4s4CShZ5SyqrDaWpqor+/n+LiYkU1/oiiyKFDhyZkhjE6wUXK8G1sbMTj8cgRg0lJSVG5aVCKoL7yyiv87Gc/Y/fu3aezoE4rp9VOVXIeikYg8J49e1izZs2YzzteWXmyGaizZs1SzE5LQjpvkxpYpEan7u5udDod6enpx0SjjSU0oigi1NUR2vsB/R9V8owpn2pTKolCAI0gkhVxkxNyoRVhmXYAz6y5fJQwixaDDSxxFGTbsJv1/PNQNzNT4ugeDHBBvhWzu23SM4sTLfVOpLw71m560B+iqr6dt6paSM3IBH+QucFeUtubKW8bpCFi5KghgYywlwQhQJwQosjfRXwkyL68IlwZMwglJGIw6NFo4GivD7c/zPxMG7NSLfLYznivs2Rr2dPTg9FolG+QpBJka2srXV1dFBUd63oVS0RRpKGhAa/Xy+LFixUnqNXV1RiNRubOnXtKN72CINDf34/T6aS3t1fuyD/ZMrFSBPWNN97ggQceYNeuXbIP82mMWv6NRCKEw2Fg6JestraWYDDIkiVLonInOJao+v1+ysvLmTFjxjFl5YkK6ngZqEpAapYa77xNikZzOp1EIhH54n0igWtxDvLGnsPsa+zD5/ERF/Cy1O8gP9hPm95GQKvDLgTo1sYhajTkRQbpS82kNz6FauyIRgNJVj2fzA3zqXM/vmEaSyzHskKUhDAUFhBF/jOHOzKlBhjxc0tzE8hOMsuPmxCnl1NyJE/d5TMTsQfcvPhWFX1tXXRFLNjcAzgwUhBwEtQYqDcl0K63M6gzoRci5IZc2KxGluTYMczIJag30dTjHcqjzbaRn2blg6Y+ugcDuP1h5qTHc/25x1pEjofX68XpdNLd3U0kEpE/C0oU1MOHDxOJREacUyoBURTl4Ipou0uJojjiPRIEQfYmnkiZWCmC+vbbb/Od73yHXbt2RW1j0NLSwq233kpXVxcajYbbb7+du+66i97eXq6//nqamprIy8tj69atU7ErVkVVEtVQKMSBAwdISkqK6gdgtKhGoyGps7OT5uZmCgsLp2X2bjJIzVJFRUUTKg+GQiFZYH0+n3x+lJCQcMz/XxK2Pm8Qly/E+Wk6mmqaiHR00d/djynoIyfkHiGwkuVgXCREndbK8t4GzkszoM/OxpOaSWdcMgcFKyablaDJgsZiRoRjjBsGvGE5Pq2u042IyPxMGy29XgJBkQSrnmBIIDPBRPuAn9R4E3vqepiRYiHepEcMhzEEAwQG3QQGvTT2Bwn7/GT5+ri0qxK3202FJQuL2cQHcTkENHoGtUZmhQbQCmFqzGn4dQZMBh0YzGSnx6Mz6PnEgjQiosjCzHiGPs9DJhUAL1V0UdU2QDAssjjHRsnyiXn3DkcqXbrdboxG4zHNaLHcFUoewzqdLuZHH6MRBIGDBw/Kdo1TzfCGwROViZUiqO+++y7f+MY32LlzZ1Qdmzo6Oujo6GD58uUMDg6yYsUKXnjhBZ588kmSk5O59957eeihh+jr6+Phhx+O2vP+B1VUI5EI/f39VFRUMHfu3KiXH4aLakdHB01NTRQVFR3TKi6KorxjPl5DUkNDAy6Xi6VLlypux3DkyBF8Ph+LFy8+qV1+JBKhp6cHp9OJy+UiISFBPuOTXpPRpUupASnBoqe6poVwZxcah4OizkNEXO7/mONn4guECGo0LBNdZIc9uLUG3ozPI6DR4zTEscrTTrvBhqjRkGwQ2W/OJMcQRNQbuNAaItuq4VWfDS96dDoNJp0Wo1bEFRQxaUSSNSHe9xhI04ToCGqwhgK4I7Am0ElbWM9gRMQuhBjUGrGKQVLCft6Py2FmsB+L18UsfzedCTn4tXr+bZ2BIGoI63SkGkV6DfG4NXq8YbAYtSTGGclPs9LW7ycl3siymYljBofXdrh4r76P3GQL7kCYFbOSxnVtGgvJkctgMMghDoIgyM1o/f39xMfHyyXI6fx9lETLYrEwZ84cxQlqZWUlCQkJUQnTOJnnl8rEfX19mM1m+T0yGAxUVFSQkpISU0H94IMPuOuuu9ixY8eUW1qWlJRwxx13cMcdd/Dmm2+SlZVFR0cHF110EbW1tdF+OrVRaWBggIqKCpYuXRrVuU4JjUZDJBKhoaGBwcHBk25IkjJQzWbzMaYQsWZ4PuvSpUtPem3SWWt6evqIC0NdXR1Wq5X09PQRjU6So5GASEe/hnOWzSYizJYFVxwcJNTQiPvf7zLY46NZsHJk0EgN6QzozHQarJiFMEFRR5sxHmskhAj0i3q69Do6I3HoRAFLVwcrvO30WmciakAriCT/J92mKOLh/bhcqvVWgvo4MnwdtFmyIOIHrYmeQIiwDqot2WgQQaNhmaedXp2FOCFE4qCDGvtMhIRk4mwWZqfaCJtTcOqt+LQGdFotWn+YdK2Gfm+IpDg9qTYzoYjA3Ix4EiwGCmfYx9yBZidZSLZ65NnZycygRiJDjVx2u528vDz5PdVqtfK4hyiKDA4O4nQ6aW5uxmAwyKX8qewKjrVoHQ9BEKioqCApKYlZs2bFZA1arZbk5GSSk5NHlIkrKipwu90kJiaSmJgoV8Smm/3793PnnXfywgsvTLmgNjU1sX//fs4991y6urpkC83MzEy6urqm9LmnGsWKanx8PCtXrpyyTkadTseBAwewWq0sW7bspBqSAoEAFRUVZGVlxXSGbCykWdxor230hcHtduNwOOSLd3p6OkG9bYS7UkRgxE4sbDZTEQqSefU6UuNS6G3uIzVOz+EGB9qBQRLdPly+IDNCbs7xRsjqdyC6PdSZknFpjQzoLBgJ49UYeD0+n369GZ0gcNSSQGPYR7wQonSgBhEwEkaDSLMhgZBWyzxvL16dgbzQAL6wnkZjElaDBq/JzILkJFJtJv7lhv7FazGbEkiemUx7v5+8vERy3CGSQmECQYGimXZe2NdB+4Afg15D8cxEVs9NZk9dr+zJK5V7RzMZ+8bhhMNh2Uj9eLsZjUaD3W7HbrczZ84c+az84MGDRCIRuZRvs9midvGWTN4l+00lIZknxLqsOhyNRoPVasVisdDf38/s2bMxmUwjuokl04npGEGqrKzkK1/5CmVlZVNeFne73Vx77bU88sgjx5iTHO96e7qgWFHV6/UnHf12Ivx+Py6Xizlz5jB79uwR35uooA4ODnLw4MGYjX4cD8kOcd68eSPCnqONRqPBZrNhs9nki7fD4aC15TBHO8P0xMdjt9tG7MSkzmjJj3bQH0KLhm5vGEOCjbDFSppBQ6qo5ZIlafLsqhgMYul10V7ZhcfhQQiHMeojWIUIBEWavSKREMyKj6M7qKVlfgYWjZaZZi1xAS19IR0mQctBYz4L0iwULkrDEdYx+E4bA/8Z6cn89Cw8HfVcmTWDkD6edw538+pBBwA97iC3rJmB+T/uRjazgXS7mSNdbqwmPfMy47GZDWQkmCftdTwRpJukGTNmTLpxxGKxMHPmTGbOnEkoFKKnZyh03u12RyV/NBwOU15eLnvrKonhiS5Ku/GVds/DS75ZWVkjqkH19fUjysRTYTpRXV3Nl770Jf72t78xf/78qD/+cEKhENdeey0333wz11xzDQAZGRl0dHTI5d/TvdNYsWeqoigSDAaj/rgDAwNUVVXJ/p7DO1sn2pAk/bIr0bWmr6+P2traqNshTpYel5emNgcBdx/aSIDU1FTi4uJoampi8eLFIzqjh5yK/FS2DiCIIv6gOEJQhyP9LIjYLQY+bOzHFwrjdAXo6PdjMujQauD6c3OpaXcjIDLgCWE2akmJHzLLXz0niQVZdlp7fbxRMySabq8fW6iHVYvnEG+zkxCnp7x5gN0VHcxMsdI9GOCKwkxWzp7+WT2/38+BAweYM2fOCcMiJsPw/NG+vj6sVuuIM76JEAwGZQvPjIyMqK0tGkg7+6ysLMWJvSSoycnJJyy1ShF2w7uJU1NTo1JpOHz4MLfeeitPPfUUS5cuPaXHOhGiKHLbbbeRnJzMI488In/9nnvuISUlRW5U6u3t5Sc/+Um0n15tVJoKUR3ekNTQ0MDMmTPl8sNEG5KOHj1Kd3c3hYWFirJag6H/X0tLC4WFhYpy1IlEIjQ2NtLS0oLRaJTLj8N3R629PrmL1zkYmHDzzvAGKbc/PMKdaXSO6Vjzp2/WdNPncvPRkU4Wz87A4Y7I3cUF2fH8/f3WEeYUYwn9VCJVHRYuXHjSZicTQSrlSxfv4YYh43WyKzkFR9o95+TkKC7ybjKCOpqxuolPtkzc0NDATTfdxJYtW1i2bNmk/u3J8M4773DhhReOSP/58Y9/zLnnnsvGjRs5evQos2bNYuvWrVNR/VNFNZqiKooi9fX1DAwMyPN8NTU1ZGZmkpiYOKFyryAIHDp0CFEUKSgoUNwgu9RwtWTJEkV1HwO0tbXJnq96vZ7+/n4cDgd9fX3YbDbS0tIwWhN4p67vGOGLFuMZPzS1dfGvA/Vo7FkkWM2UH+2naGYCIsgWhKNtFKcLl8vFwYMHWbJkybRXHaRwBqfTSSgUkm+E7HY7Go0Gn8/HgQMHFHn8IWXIzpw5U3G7Z6mZKykp6ZSbgcbqJpZmYk9UJm5ubuaGG27gT3/604Q80M8AVFGFoTvhUyUSiVBZWYnZbB5hRXb48GGSkpJITk4+oaCGQiH57ONkzN2nEkEQqK6uRq/Xn9BqbboZLvZLly495k5a6lJ1OBz09PQQ1hgw25LJy0knxT71KRgdHR20traSv2Axe+oH8IXCx8zBRlPYJ4NUxi8sLIx5Ikg4HJZHqgYHB7FarbhcLhYvXqw467pQKMT+/fvJy8tT3NncqexQJ8LoMvF4DWltbW1cd911/O53v+O8886L+joUiiqqcOqiKjkk5ebmHtOkcOTIETmceCIZqPn5+Yr7kEpin5aWNuUt8JNFmqXUarUsXLhwQmIvXRScTicajUYuP06FqDQ3N9Pb20thYSE6nW5EqXi4Y1MscDqdNDQ0KNIYf3BwkAMHDpCYmIjb7R5hyRdrz2HpfHf27NmKK0dHc4c6EaQycXd3N263mz179pCbm8vKlSu59dZbeeSRR/jkJz855etQEKqowtCH5GQ7gKWGpIKCgmPKU6Io0tXVRV1dHcnJyWRkZIyIRJPo7e2ltrY2JuW3EyGV35Qo9pJ/sjQTeDK750AgIAtsMBiUy1qn2pwhhSVIyUFKKuPDx7vn4uJixZ3ZS+XowsJCrFarnNwi7Y40Go38Pk13A590vjt37twp7Xg/GaZbUMd6/jfeeINnnnmGN954gzlz5vD5z3+e9evXK+68eQpRRRVOXlQ7OztpaGiguLj4uA5JMFRm6+rqkiPRJKegjo4O2tvbpzUDdaIMDAzIST1KC6GWYttmzJgRtQ+sVH50OBy43e6TtuOTSuVGo1F2IlISUhOc0uLR4ONydFFR0XEbl6QboUAgcFxry2giCeq8efMUd74rCWpiYmLMTCdgKBbwmmuu4Yc//CFz5szhxRdfZOfOnQSDQd54442YVxmmAVVUYfKiOlZD0nCkDNSxyr2iKNLf309XVxednZ3odDrZHlFJF7iuri6ampoU6S8slcqnsnlFGgNxOBz09/djt9tJS0sjJSXluO+TZAAghZ4rCens2ePxsGTJEsXtnnt6ejhy5MikytGjrS0n+j5NFumIR0pdUhJKEdTe3l6uueYavve973HVVVeN+J7b7Z5UItRpjCqqMHQucLzc0+FIDUkmk+mYM7zJZKBWVVXJ1ntSWctischWfLEqyYmiKJ8DLl26VHGlQSmdZzpL5VIsmtToZDab5fdp+J23ZJyQm5uruHKXKIrU1tYiCILi0lwAHA4HTU1NFBcXn/RuRhRFBgYG5Pi6aJkZSEcgUz1udDIoRVAHBga45ppruOeee2SzhbMUVVRh4qIq3a3m5OQcY0MmCWokEkGr1Y570fL7/VRUVIxZtpSs+Lq7u9Hr9bIP7nSVTKRxHoCFCxcqbicj7Z5j3VgzPBtWq9XKZ7C1tbXMnTs3qsYJ0UAqR5tMplPO9JwKpup8d/g5rCiKI85hJ/oaeL1eKioqKCgoUFzEolIEdXBwkM985jPccccdXH/99TFbh0JQRRUmJqoul0sejh/doDBRhyTpjLKgoOCEd7ySFZ/D4UCj0cih3lNVipWafhITE0cYqCuFo0eP4nQ6FWeG4ff7aW1t5ejRo5jNZjIzMyecaTkdSJUV6X1VGtMVfB4MBmUzA5/PJ5+XJyQkjHvz6PF4qKioUGRPgVIE1ePxcN111/GFL3yBz372szFbh4JQRRWGBCUSiYz7/RM1JE1EUE/ljDIQCMgCK4V6p6enR63zUdo9z5w5M2pBwdFC6qINBAIsXrxYcbtnqbFm6dKlGI1G+cLt9XpJSkoiPT19zI7v6UAahcrIyFCcHy0cO240XUQiETm+bmBgQDYGSUlJkYXd7XZTWVmpyI58paT0+Hw+Nm7cyM0338ymTZtitg6FoYoqjC+qUmNHX18fRUVFx+yQjteQNPwxGhsbGRgYiEoGqhTq7XA45M7HjIyMk94ZSeMLE9k9TzeCIFBVVYXFYlFk2VI6BywqKjrmzE4QBLmBZmBgALvdLnd8T4eAKNkrV/pMuN3umDdMSefl0jms0WjEbrfT2dlJUVGR4pprpM+EFMkXK/x+PzfeeCMbNmzgy1/+suI+mzFEFVUYW1SlPEmj0ciCBQtGfPAnk4FaU1ODXq9n/vz5Ub94SCMgXV1deDweUlJSSE9Pn/BogWTYrwQ3ndFIu6wTxY/FCqlsOZFytNRA43A46O3tnfKGNKmxZqrTg04GKcxemt9V2sXY6XRSXV0tV5Okc1gllPOVIqiBQIDPfvazXHrppdx5550xf10UhiqqMCR+w2dKpXm07OzscRuSTiSoUidoZmbmtIiCVNJyOBy4XC4SExNJT08fN2qrpaVFFgWlzY5JsW2zZ89WnOGEVL2QdlmT3XVKRgZSo5MUzB6tYG/pHHDRokWKa6wRRZFDhw6h0WgUZ3UJQz0PNTU18k3maFP5k51bjgZKEdRQKMRtt93GBRdcwNe//nXFvYcKQBVVGCmq0WhIcrvdVFVVxWynIBlgS2byw0uPWq2Ww4cPEwwGFXlGOTg4KDtUKa0cLYkCMGFLxBPh9/txOBw4nU75vHyyHaoSUiPc0qVLFVm2VHIHcn9/P4cOHRrXdGL03HJ8fLw8rjPVwRJKEdRwOMymTZtYvnw59913n+LeQ4Wgiip8LKpdXV3U19dTVFR0TBPQRAW1u7ubI0eOsGTJEkVc2KQzo66uLnp6egiFQiQkJLBo0SJFddHC0PB/XV2dIvNjpeMAm83G7Nmzp+SCIp2XSx2qk3EK6u3t5fDhw8d1IooVUmON3W5n9uzZsV7OMUjNZsXFxROqFkgBDdK4jsFgkAU22q+9UgQ1Eonw5S9/mXnz5rF582ZVUMdHFVUYugM7fPjwKTcktbS04HA4FFlSlWz9UlNTEUWR7u5ujEajXHqM9Xrb29tpa2ujqKgo5msZTSy6aEeX84dbW46uLhyvYSrWSA5TKSkpigtjgKGbkbq6ulOaffb5fPLNUDgcjpp/tJIE9c477yQrK4sf//jHqqAeH1VUYeii1NbWdozhwUTPTwVBoLa2lkgkokjzdKkcPdrWb3hai1arjerZ3kQRRZGmpia5O1pJVo3w8bhRLCO+BEEY0egkOXGlpqbicDjkDFmlVR7C4bDcV5CTkxPr5RyDZItYXFwctZuRUCgkd3273e4T9jaMhySoUmUkVgiCwFe/+lVsNhs/+9nPonZt27RpEzt37iQ9PZ2qqipg6Abn+uuvp6mpiby8PLZu3ao4S8gJoIoqDP3ihEKhEV+bqKCGQiE5GUKJpglSSfVE5WjpbM/hcCCKojwLO5VdwZKDk9S4orSbEcljWEl+r6Ioys5b7e3tRCIR8vPzycjIUNQuVQrwnjFjhuJmn2Goy7exsfGUbBFPxOjeBqvVKpeJj3cDpCRB/da3voVGo+HRRx+N6ufz7bffJj4+nltvvVUW1W9+85skJydz77338tBDD9HX18fDDz8cteecJlRRhWNFdaLnp16vl8rKSkV2qcJQSPDJJOAEg0F5FlaKQ8vIyDip5pnxkMqCSnVwkpp+lDj8LwU6+Hw+8vPz5Q5V6WYoFpFow1Fy3ih8XC5ftmzZtO3upZsh6RxWp9PJ79Xwc1glCer999+Px+Phd7/73ZTc8DY1NbF+/XpZVBcsWMCbb75JVlYWHR0dXHTRRdTW1kb9eacYVVRh6Bc+GAzKf56IoPb19XHo0CFFWphJF10pjeRUSqrSWIHD4ZCbZ9LT07Hb7ScthEo2noePm82U2PRzvA5kyYrP4XDg9/vls71Tea8mi+SPrcQZWRhyNjt69GjMc2T9fr/8XoVCIVJSUkhJSaGlpSXmgiqKIj/4wQ/o7Ozk8ccfn7IjmdGimpiYSH9/v7yGpKQk+e+nEdMmqlPbcx4lpAxUjUZz3Duz9vZ2WltbWbZsWUyN3cciEonIowuFhYWnfDE1GAxkZWWRlZUlx2y1tLQwODgo2/AlJSVN+HmkkqpSL7qSufvy5csV1zAl7WLi4uKYM2fOMa+50WgkOzub7OzsY96rkz3bmwxKTnOBofe2ra2NZcuWTfkYzIkwm83k5uaSm5tLOBymu7ubqqoqBEFAr9fjdDqnzX1rOKIo8vDDD9PS0sJf/vKXmPU4HG9DozKEokVV2p1OpMP3yJEjeL1eVqxYobimmmAwKHepToXhhGRUkJ6eLs/tdXZ2Ultbe9zuVIlYxLZNhqamJvr6+li+fLni3tvJ5rSOfq+ks73Dhw8THx9Penr6CK/bU0XyylVi5QaGboQ7OjooLi6OuaCORqvV4nQ6yc3NZdasWXJ8XX19PRaLRT6HneqbPFEU+eUvf0lNTQ1PP/30tH8GMjIy6OjokMu/SjxSUxLK+i0exa5du3jssccoKSlh3bp1Y+6gpDnFuLi4qOwAo420A5yu6DGtViuXrKTgdYfDQV1dnXzRTk1NlT+YDoeDxsZGRe7uJdP+YDBIUVGR4hqmQqEQBw4ckHehk0Wr1ZKcnExycrI8YymdK0ZjrEoy7FCi6QQM9RZ0dXVRXFysuJslURQ5ePAg8fHxcsk3KSmJpKQk2X3L6XRy4MABNBrNiPi6aK/jt7/9LR9++CFbt26NSWn86quvZsuWLdx7771s2bKFkpKSaV/D6YTiz1QPHTpEWVkZO3fuxG63c/XVV3PVVVeRlpZGY2Mjv//977n77rtP6qI21Ujnu0rYAQ6/aEvB6zqdDp/PF/NzrLFQutOPNF88VSM9Xq9XdnQCZIGdaNe35ESkRP9oGLLj7O7unvYknIkgiiJVVVVYrVby8/NP+POBQEA+h5XCNCZqDnKidfzxj3/ktddeY9u2bdPSRX7jjTfy5ptv0t3dTUZGBg888AClpaVs3LiRo0ePMmvWLLZu3TpiBPA0QW1UGo3U5LNt2za2b98uu9xs3ryZ6667TnEX3Y6ODlpaWigsLFTkDrC6uhqXy4VWq8VgMMgXbSWMf4TDYdmYIJaZlOMhnVGOni+eKgKBgDy3HAwG5aa08UwMJBeniToRTTdHjx6Vo+WUVn2YrKCORjozdzqduFwu7Ha7HF83mZsHURR58skn2bFjB9u3b1fk+3iaoYrq8di2bRvf//73ueqqq3jrrbcQRZGrrrqK0tJScnNzYyqwkmlCf39/VCLloo0gCBw8eBCz2SzvAEcHr0uzsLHosFV6B3KszyilBCSHw4Hb7R6RDSudAUoZw0q4QRrNcEMRJQrqwYMHiYuLOylBHevxpHPYnp4eTCaTfPxyovfmr3/9K3//+9958cUXFVlpOA1RRXU8Hn74Yd58803+9re/kZCQgCiKdHR0sG3bNp5//nm8Xi/r16+npKSE/Pz8aRVYQRCoqalBq9Uq0jRBsvVLS0sb15puqoPXj4eSo9Hg4xnZwsJCRXggjzaTNxgMBAIBVqxYocidzfAUIaV9NqItqGMhncN2d3cjiuKIc9jh16mtW7fy5z//mV27dinyLPw0RRXV8di9ezeXXnrpmDtAURRxOBw8//zzPPfcc/T19XHllVdSWlrK/Pnzp1RgJcFKTU1l5syZiitH+/1+Dhw4MClDjOHB69J85fHKjqeC1FSjxGg0+NgBS4kzsjDU9NPS0kJSUhJ9fX2YzWZ5VxTrESQpls/n8ynSLnQ6BHU00uyyVCZ+5plnuOqqq/B4PPzxj39k165diuzWPo1RRTUa9PT08MILL/Dcc8/R2dnJZZddxoYNGygoKIjqB1vJOaMQndi20WXH5ORkMjIyTrkZAz4+A1RiCg4MGRM0NzdPqXXeqdDS0oLT6aSoqEg+txueDavRaOQz8+m+IVB6+LkkqBaLhTlz5sRkDYFAgO3bt/P000/zwQcfcPnll/OZz3yGyy67TN2pRg9VVKNNf38/O3bs4LnnnqOpqYlLLrmEDRs2nHKzhFQSVOoOayoESxAEWWAnErx+PCTBUmKSC0BraytdXV0UFRUp7nwcoLGxEZfLddwzSr/fPyKtRWp0io+Pn1KRE0WRw4cPIwhC1HJuo4kSBFXi5Zdf5qGHHmLnzp00NjayY8cOXn75ZS688EJ+8YtfxHRtZwiqqE4lg4OD7Nq1i23btlFbW8vatWspKSlh5cqVkxIFacazsLBQkSVBqQN5KgVrtDm5zWaTDQxO1O04PJJPaSM9wIiGMyWOfdTX1+P3+ydVUpXsLZ1OJx6Ph+TkZLnRKZqiJ4qi7A+7YMECVVCPwxtvvMEDDzzArl27jql0ud1udbcaHVRRnS68Xi//+Mc/2LZtG5WVlXzyk5+kpKSE1atXj3shFUWRo0ePynN2ShOE4R3I0zkHKAWvOxwOenp6iIuLk8/1hu/ypDM2qWlFiYJ15MgRAoGAYs8ADx8+TCQSoaCg4KQFSxAEORt2YGAAu90uu2+dynsiiiI1NTXo9XrmzZunCupxePvtt/nOd77Drl27FJkadAahimos8Pv9vPrqq5SVlbFv3z7WrFnDhg0bOP/882VRCIVCvPfeeyQnJ0f9bDYaSIYZoigek0M73euQotCGB6+npqZSX1+PRqNRbEmwpqYGnU435c1tJ4M0Y2wwGKIqWNL4h5QNa7FY5PdrMjeN0vpMJtOYPsixRlqf2WyOuaDu2bOHe+65h507dyoy1/YMQxXVWBMMBnnjjTfYtm0be/bs4dxzz+XSSy/l17/+NZ/+9Ke59957FXfBiEQiVFZWYrfbmT17tqLW5/V66ezs5OjRo+j1embOnEl6erqiRj8kY3zJmk5Jrx98vD7JmGCq1ifZ8Ek3RJJfcVpa2nHfL8kFy2KxTPs420RQkqB+8MEH3HXXXezYsWPc8TaVqKKKqpIIh8Ns27aNu+66i1mzZjF//nxKS0v51Kc+pRhRkEwTcnJyFGnZKPnkZmZmkpqaKlvwCYIwLcHrJ0JycUpLS5uS0INTRbphknJupxOp0Wn47PLo+Uql5I2Ox3BBjbXg79+/n//+7//mhRdeUORrdYaiiqqSOHDgALfddhu//vWvWbNmDf/+978pKyvjjTfeYMmSJZSWlnLxxRfHTBS8Xi8VFRWKNU043ozsdASvn4hQKER5ebliXZwikQgHDhwgPT2d3NzcmK5ldI5vcnIyaWlpNDc3x0TwJ4KSStKVlZV86UtfoqysjPnz58dsHWchqqgqhUgkwoYNG/j5z3/OvHnzRnxPEAT27t3Ls88+y6uvvsq8efMoLS2d1vkyaaRHCab9YyGl9CxYsICkpKTj/uxUBK+fCEnw8/PzSUtLm5LnOBWkHX5OTo7iBD8SidDd3S2PzUgVh+PFDE43ShLU6upqNm3axN///ncKCgpito6zFFVUTzcEQWD//v08++yzvPzyy8ycOZOrr76aK6+8csrmV5U+0iMJ/slEj0nG5A6HY0TwuuRxGw2kHf5EBD8WBINBysvLpywJ51SRdtBpaWnk5ubKo1W9vb1YrVZ5tCpW3fFKEtTa2lpuu+02nnrqKZYuXRqzdZzFqKJ6OiOdL5WVlcmzZyUlJaxfvz5qqSYtLS2yKYHSRnoAuru7OXLkSFRs/UZ73NrtdjIyMk5pRyS5TCk1vDsQCFBeXs6cOXOmJYd3skiCmpGRcUzn6ujO71ikIClJUBsaGrjpppvYsmULy5Yti9k6znJUUT1TGJ4J++KLL5KQkEBJSQlXXXUVqampk/6wS0P/Xq+XxYsXK27GE6C9vZ22tjaKioqibus3PHi9t7d3zOD1EyFljSrVFlEKFlDqDjocDsvh7BMpSft8PvncXBTFEY1OU4GSBLW5uZkbbriBP/3pT6xatSpm61BRRfWMRDIV2LZtGzt27MBkMnH11VdTUlJCRkbGCT/80siC0WhU5FA9DLkQ9fX1TYvpxOjgdclEPi0tbdzde3d3N/X19RQVFSmmc3s40hl0QUGBIm0vw+Ew+/fvZ8aMGSdlViAZyUshDdE+N5fmjI1GY8wFtbW1lY0bN/K73/2O8847L2brUAHOdlG95557ePHFF+UPxp///GfZCP7BBx/k8ccfR6fT8eijj3LZZZfFYomnjCiKNDc3s23bNl544QUAORM2JyfnmItBKBSisrJSTsFRGpLLTygUipkLkdvtlj1u9Xr9MSXHzs5O2bZRicb4UklaqU1nUpf0zJkzycjIOOXHG31ufioe0qAsQe3o6OAzn/kMv/rVr/jEJz4Rs3WoyJzdovrKK6/w6U9/Gr1ez7e+9S1gKEe1urqaG2+8kb1799Le3s7FF1/M4cOHFVkCnQyiKNLe3i5nwvr9fjkTdvbs2TQ2NvLTn/6UzZs3R+ViFm3GCj6PNVLwutPpBJCzRpcvX65IY3ylZbWOJhQKsX///ilrmhrtIS2V9VNSUib0fkmCajAYYv472NXVxbXXXstPf/pT1q5dO2XP89JLL3HXXXcRiUT44he/yL333jtlz3UGcHaL6nCef/55ysrKeOqpp3jwwQcBuO+++wC47LLL2Lx58xlVWpEyYZ977jk5ss7lcvHtb3+bW265RRGCNRzJNCElJYVZs2bFejnHIJXce3p6MBgM0x68PhH6+vqora1VbFar1IWcn58/LU1Tw8v6PT09ssVlWlramBUGJQlqd3c311xzDT/84Q+5/PLLp+x5IpEI8+fP59VXXyU3N5dVq1bxzDPPsGjRoil7ztOcafulUN4t+yieeOIJrr/+emAoiHn16tXy93Jzc2lra4vV0qYEjUZDRkYGX/nKVygoKODOO+/kS1/6Etu3b+f//b//xxVXXEFpaekpGalHC8nFSammCVJJOhwOc84556DVauXg9bq6uikPXp8I0hnvsmXLFBl9J3Uhz507d9qMRTQaDXa7Hbvdzty5c/F6vTgcDg4cOAAwwoFLSYLa29vLZz7zGTZv3jylggqwd+9e5s6dK4eq33DDDWzfvl0VVQUQM1G9+OKL6ezsPObrP/rRjygpKZH/rNfrufnmm6d7eTHnb3/7G48++iivvvqq3BAiZcL+4Ac/4OjRo3Im7PGyNKcKqUNVqS5OgiDIF9vh4dgGg4Hs7Gyys7Nl84Lm5uaoB69PBIfDQVNTE8uWLVPkGa/f76e8vJz58+dHbRTsZIiLiyMvL4+8vDwCgQBOp5Pa2lqCwSCiKBIfHx/zM9T+/n6uu+467rvvPtavXz/lz9fW1jbCTjM3N5f3339/yp9X5cTETFRfe+21437/ySefZOfOnbz++uvyhyUnJ4eWlhb5Z1pbW8/YdIfExERefvnlEQ0riYmJ3Hrrrdx66624XC527drFz3/+c+rq6uRM2BUrVky5wEoNNUoNZo9EIlRVVWG328nLyxv3YqvT6cjIyCAjI0MOXm9ra6OmpuaUm2ZOREdHB21tbSxbtkyRc8aSoC5cuFBuElQCJpOJ3NxccnJyOHjwIOFwGFEUef/996fEIGQiuFwuNm7cyN13382GDRum7XlVlIkiz1Rfeuklvva1r/HWW2+NsI47ePAgN910k9yotHbtWurq6k77RqVTxev1snv3brZt20ZVVRUXXXQRJSUlnHvuuVF/bXp7ezl8+LBiZzylGcqMjIyT9sk9leD1idDa2orD4aCoqEiRv7tSFUJpgiohzX7r9Xq55DvaICTa79l4uN1uNm7cyBe/+EVuueWWKXue0bz77rts3ryZl19+GeCYfhOVYzi7G5Xmzp1LIBCQy4qrV6/m97//PTBUEn7iiSfQ6/U88sgjXHHFFbFYomLx+/288sorlJWV8dFHH3H++eezYcMG1qxZc8pdr11dXTQ3N1NUVKTI8z+poWbmzJlRC3yeaPD6RGlubqavr4+lS5cqUlAl68ZFixYp0mlKElSdTjfurPbo90yaX05NTY1qmd3r9bJx40ZuueUWNm3aFLXHnQjhcJj58+fz+uuvk5OTw6pVq3j66adZvHjxtK7jNOLsFlWV6BAMBnn99dfZtm0b7777LqtXr6a0tJQLL7xw0heXlpYWHA4HhYWFii5Xzp07d8o6VMcLXh+vK3X0v21oaMDj8bBkyRLFGM4Px+PxUFFRodg52YkI6lgMz4bVaDTye3YqndZ+v58bb7yRa665httvvz0m57m7d+/m7rvvJhKJsGnTJr7zne9M+xpOI1RRnW6effZZNm/eTE1NDXv37mXlypXAkENQQUEBCxYsAEbumk8nQqEQb7/9Ns8++yz/+te/WLFiBSUlJXz6058+7q7zdBKDgoKCaS1XSl2pTqcTrVYrd6WOdmoSRZG6ujrZGCPWXdtj4Xa7qaysPKnwg+ngZAV1NFKjk8PhIBwOy45O8fHxE37MQCDALbfcwuWXX84dd9yhyPdT5RhUUZ1uampq0Gq1fPnLX+ZnP/vZCFFdv349VVVVMV5h9IhEIrzzzjuUlZXxz3/+k6VLl8qZsMPv3kOhEIcOHcJgMLBgwQJFXjxcLhcHDx6M+e5qeJD38Bg0i8XCoUOH0Gg0in0NpcYzpRpPREtQRxMKhWRHJ4/HQ3JystzoNN5zhEIhbrvtNi688EK+9rWvKfL9VBkTdU51ujmb8g11Oh2f/OQn+eQnP4kgCLz33nuUlZXxox/9iPnz51NaWsr555/P5z//ea6//npuvfVWRV48hpsmxCogXsJsNjNjxgxmzJghB68fOnQIl8uF1Wpl4cKFMV3feLhcLkU7OU2VoMLQeFVmZiaZmZkIgkBvby8dHR0cOnQIu90uZ8NKZ9/hcJgvfOELnHPOOaqgqoyLKqoToLGxkWXLlmG32/nhD3/IhRdeGOslRQ2tVsuaNWtYs2YNgiDw0Ucf8X//93/cfffdrFy5EpPJhMvlUtzojNPppKGhgeLiYsUZ4xuNRrKysuju7mbGjBlYrVYaGxvxer3TErw+UQYGBqipqVGsk5MkqFqtdsoDJLRaLampqaSmpiKKIgMDAzidTl5++WWeeeYZrrzySj788EOWLFnCfffdF/P3TkW5nFWiOhHDidFkZWVx9OhRUlJS2LdvH6WlpRw8eFCRnZGnilarJTs7m/fee48//vGP5OfnU1ZWxvr168nIyKCkpIR169bF1AgAhmY8W1tbWb58uSKbpoaHd0sD+pmZmbKBfEtLy5QFr08UKf5OyYJaW1uLVqtl/vz50ypiGo2GxMREEhMTmTNnDgsWLOBHP/oRNTU19Pb28tvf/paSkpIR5gsqKhLqmeooLrroohFnqpP9/umM2+3mE5/4BI8++igXXHCB/HXJCq6srIydO3eSmJgoh64PnyOeDo4ePUp3d7diZzzD4TDl5eWya9N4jBW8Ls1VTrXASmVzJe7y4WNB1Wg00y6ooxEEgbvvvpuEhAR++tOf0t7ezvbt29m+fTsXXHAB999/f8zWpjIp1EalWDFaNJ1Op3yu0tDQwIUXXkhlZWXMd2tTRU9Pz3FtByWD+rKyMnbs2IHFYuGqq66acCbsyXI6dCGfbDSaVG7s6uoaEbw+0YSWydDT08ORI0coLi5W5Kyx0gT1m9/8JlqtlkcfffSY3zlRFNUy8OmDKqrTzfPPP8+dd96J0+kkMTGR4uJiXn75ZbZt28b999+PwWBAq9XywAMPcNVVV8V6uYpAFEWamprkTFitVsv69evHzYQ9leepra1FEARFBAmMhWQ8n5+ff0q795MJXp8ow837leg1rDRB/d73vofX6+V3v/udIm/iJkJVVRW33347e/bsAeCjjz7innvu4fXXX4/xyqYdVVRVTi9EUaStrU3OhA0Gg3Im7PH8d0+EIAhUV1djMplinkIyHlNpPH+i4PWJ4nQ6aWxspLi4WBXUCazl+9//Pg6Hgz/96U+KPGaYKIIgkJ2dTVtbGzqdjosuuohf/OIXLF++PNZLm25UUVU5fRFFka6uLjkT1uVysW7dOkpKSibVxRmJRKioqCApKYm8vLypXfRJItn6TYdP7vDgdVEUSU9Pl2dhj4fD4aC5uZni4mJFNnYpTVAfeughGhsb2bJly2ktqBJr167ll7/8JXV1dezYsYMtW7bEekmxQBXVs4HxXJxgyCD78ccfR6fT8eijj3LZZZfFcKWnRnd3Ny+88ALbtm3D6XRyxRVXUFJSctxSbigU4sCBA2RlZSk2iUhyIVq8ePG0d4OPdgaScmFHuyF1dnbS0tKiaEE9fPgwgCIE9Ze//CUVFRU8/fTTUT/PjhXf+c53yM3N5bHHHuOll15S7OdpilFF9WxgPBen6upqbrzxRjmN5+KLL+bw4cNnxF1zX18fO3bsYNu2bbS0tHDppZdSWlo6IhO2ra2Nw4cPs2jRokk1/EwnkpOTEmz9pOB1h8MxInjd7XbT3t5OcXGxIgVCElRRFGPuNiWKIr/97W959913+fvf/67IEvnJ8uKLL/K5z32O/+//+//4/ve/H+vlxIpp++U6PU/fzxCGewoPZ/v27dxwww2YTCZmz57N3Llz2bt3bwxWGH2SkpK47bbb2LFjB2+99RZFRUX87Gc/4/zzz+e73/0u27dvZ926dUQiEcUKan9/P9XV1RQVFcVcUOHj4PXi4mJWrVqFzWbj0KFDHDp0iPj4eAYHBznBzfO0ozRB/eMf/8jbb7/N3/72tzNKUAEWLlyIyWTiW9/6VqyXclagiqoCaWtrGzFYnpubS1tbWwxXNDXY7XZuuukmtm3bxr///W9mzJjBHXfcQUpKCq+++irvvvsukUgk1sscQU9PD4cOHaK4uDjm1ohjodPpCIVC6PV6LrzwQlJTU+no6OC9996jurqanp4eBEGI6RqVJqhPPvkkL730EmVlZYocMzpVfvWrX/Hggw8q0obyTER5NaEzjJNxcTobOXToEFu2bOHtt99mzpw5vPzyyzz55JPcddddXHDBBZSWlkYlE/ZUkDpoly9frtjdTEtLywhzDMl6b3jw+uHDh6ctxHs0ShJUgL/+9a8899xzvPjii4o0wjgV6uvrWbduHeeffz633XZbrJdz1qCK6hTz2muvTfrf5OTk0NLSIv+9tbX1jG4u8Hg83H333bzwwgtyl29JSQklJSUEAgFef/11tm7dyte//nXOO+88ORN2OhtvpIafZcuWKbLhBz4OQC8qKjpmrlKr1ZKcnExycvKIEO+GhgYsFos8qjOVNy1KE9S///3vPPPMM+zatUuRVYdTZc6cORw6dCjWyzjrUBuVFMBoF6eDBw9y0003yY1Ka9eupa6u7oxoVBqPSCRywv9fKBTirbfeoqysjH/961+sXLmSkpISPvWpT01p2a6trY3Ozk6KiooU2fADQ6EPg4ODk3abEkURj8dDV1fXpIPXJ4PSBPW5557jD3/4A7t27TojfbxVjkHt/j0bGM/FCYbKw0888QR6vZ5HHnmEK664IsarVRbhcFjOhH3zzTcpLCykpKTkmEzYU+Xo0aP09PRQWFio2Jsayb5x8eLFp+z8M9Hg9ckghbQLgqAIQd25cyePPPIIu3btIikpKaZrUZk2VFFVUZkokUhEzoR9/fXXmT9/Phs2bODSSy89peaMxsZGXC7XiHEfJSGKIvX19fj9fhYvXhx1sRoveH0ypVJJUCORCAsXLoy5oL788ss89NBD7N69+7ge16fC2TJ/fpqhiqqKyskgCAL79u3j2Wef5ZVXXiEvL4+SkhKuuOKKCZf5pNCAQCDAokWLFCuoR44cIRQKTYsfshS87nA4CAaDI8wmxntupQnqG2+8wQMPPMDu3bunNF3pbJw/Pw1Q51RVpofNmzeTk5NDcXExxcXF7N69O9ZLOiW0Wi2rVq3iJz/5CR999BGbN2+mvr6eK6+8kuuuu46//vWv9PX1jfvvJcu8cDgclXLqVCCdT4bD4WkLGDAajeTk5LBs2TJWrFghB6+/9957HD58mIGBgRGzsEoT1Lfffpv//d//5cUXX5zyuMKzcf5c5WOU2XWhMq189atf5Rvf+EaslxF1tFqtfLPwgx/8gOrqasrKyigtLSU5OVnOhE1NTQWGzmlfeOEFioqKFGveL4oihw4dQqvVxkys9Ho9mZmZ4wavp6Wl0d3djSAIihDUPXv2cN9997Fz504yMzNjto62tjZWr14t//1MnT8/21FFVeWsQKPRsHjxYhYvXsz9999PXV0dZWVlbNy4kbi4OK688kp27dpFYWEh1157bcyFYCyksHiDwaAY0dfpdLKxvyAI9Pb2UldXh9/vl8V1OoLXx2Pv3r184xvfYMeOHVEdS1Pnz1XGQxVVFX7zm9/wl7/8hZUrV/Lzn//8jO+IlNJQvv3tb3Pfffdx6NAhrr32WsxmM/v37+exxx6jtLSU7OxsRQgXDAnqwYMHMZvNzJkzRzHrGo5Go6Gvrw+73c4555wjz8IeOXJkSoPXx+Ojjz7irrvu4oUXXmDmzJlRfWx1/lxlPNRGpbOA491Vr169mtTUVDQaDd/73vfo6OjgiSeeiMEqY4Pb7eaaa65h48aNfOELX6C1tVXOhA2FQlx11VWUlJQwa9asmAmZIAgcPHgQq9VKfn5+TNZwIo7XODWVwevjUVFRwe233862bduYN2/elDzHiVDnzxWF2v2rMv00NTWxfv16qqqqYr2UaePb3/42S5cu5cYbbxzxdVEU6ezslDNh3W63nAk7naVXQRCoqqrCZrMxe/bsaXnOyTLZTmSPxyPPwg4vH0fLwKO6uprPf/7zbN26lYKCgqg85mRQ588ViSqqKtNDR0cHWVlZAPzyl7/k/fff529/+1uMVzV9iKI4IYF0Op1yJmxPTw9XXHEFV1999ZR23wqCIIe0z5o1a0qe41Q51dGekw1eH4/a2lpuvfVWnn76aZYuXXpSj6FyRqKKqsr08NnPfpby8nI0Gg15eXn84Q9/kEVWZWx6e3vlTNjW1lYuu+wySktLJ20ReDwikQgVFRWkpqaOSCxSEtGelZ1o8Pp41NfXc/PNN/OXv/yF4uLiU1qLyhmHKqoqKqcDAwMD7Ny5k+eee44jR45w8cUXU1payrJly05aYCORCAcOHCA9PZ3c3Nworzg6TLX5RCgUoru7G4fDgc/nkwXWZrON+VzNzc3ccMMNPP744yMcjFRU/oMqqioqpxtut5vdu3ezbds2qqur+dSnPkVpaSmrVq2acDNKJBKhvLycrKwssrOzp3jFJ4dkjxgMBqfFfCISicgC63a7SU5OJiEhgdTUVPR6Pa2trWzcuJHf//73I+ZAVVSGoYqqypnJSy+9xF133UUkEuGLX/wi9957b6yXNCX4fD5eeeUVysrK2L9/PxdeeCGlpaWcd955446UhMNhysvLycnJUWwJfroFdTTSLOxLL73EQw89xJIlSzhy5Ai//vWvWbt27bSuReW0QhVVlTOPSCTC/PnzefXVV8nNzWXVqlU888wzLFq0KNZLm1ICgQCvvfYaZWVl7N27lzVr1lBaWsoFF1wgj5R0d3fz7rvvsmrVqpi6/hwPSVAlT+RYz8q2tbWxadMm0tLSOHLkCMXFxVxzzTVcdtllUU0qUjkjUL1/Vc489u7dy9y5c8nPz8doNHLDDTewffv2WC9ryjGZTKxbt44///nPlJeXs3HjRnbs2MGaNWv47//+b7Zt28a6devweDyqoE6Q7u5ubrzxRr773e/y3HPPceDAAe68807ef/99HnvssZiuTeXsRnVUUpk22traRnSy5ubm8v7778dwRdOPwWDgkksu4ZJLLiEcDrNr1y7+67/+i5kzZ/L6668THx/P2rVrFbXTUpqg9vb28pnPfIbNmzfL0WkajYZVq1axatWqmK5NRUXdqaqoxIje3l5+/OMf8+STT7Jnzx6+8pWv8O6773LRRRdx22238fzzz+PxeGK6RqUJan9/P9dddx333Xcf69evj+laVFTGQt2pqkwbqvfpSG6//XZ+/OMfyw02F1xwARdccAGCIPDhhx9SVlbGT37yE/Lz8ykpKeHyyy+fcCZsNBBFkYaGBsUIqsvlYuPGjXz1q19lw4YNMV2Lisp4qI1KKtNGOBxm/vz5vP766+Tk5LBq1SqefvppFi9eHOulxYRwOHxCc3nJVenZZ59l9+7d5OTkUFJSwrp160hMTJzS9dXX1+P3+xUhqG63m+uuu44vfelL3HLLLTFdi8ppidr9q3Jmsnv3bu6++24ikQibNm3iO9/5TqyXdNogJdWUlZWxa9cukpOTKS0tZd26dXImbLRQkqB6vV42btzIZz/7WT7/+c/HdC0qpy2qqKqoqIyPKIocPnyYsrIyXnzxRaxWK1dffTVXX3016enppySE9fX1+Hw+Fi9eHHNB9fv93HDDDVx77bXcfvvtMV+PymmLKqoqKioTQzr73LZtG9u3b0ev13PVVVdRWlpKVlbWpIRISYIaCAS45ZZbuPzyy7njjjtivh6V0xpVVFVUokleXh42mw2dToder+fDDz+M9ZKmBFEU5UzY5557jkgkwvr169mwYQMzZsw4rjApSVCDwSCf+9znuPDCC/na174W8/WonPaooqqiEk3y8vL48MMPo372qGRGZ8J6PB45E3bOnDkjhGr//v0YDAZFCGo4HGbTpk2sWLGCe++9N+brUTkjUEVVRSWanI2iOhqn08nzzz/Ptm3b6O3t5corr+Tqq6/miSeeYGBggD/84Q8xF7BwOMyXv/xlFixYwP/+7//GfD0qZwyqqKqoRJPZs2eTlJSERqPhy1/+MrfffnuslxRTent72b59Ow8//DAajYarr76aa665hsWLF0ctE3ayRCIR7rjjDnJycvjRj36kCqpKNFG9f1WUy6c+9SleffVVAL773e9y5513xnhFJ+add97ho48+4h//+Ae//e1vefvtt2O9pJiSnJxMa2srq1at4t///jdLly7l4Ycf5oILLuD+++/no48+QhCEaVuPIAh89atfJTU1lR/+8IeqoKqctqg7VZVJ8/bbb3P//ffzpS99iaeffpodO3ZMOC9UCWzevJn4+Hi+8Y1vxHopMeNXv/oVH374IU8++eSI925wcFDOhD106NCITNip2sEKgsA3v/lNdDodv/rVr6bsee655x5efPFFjEYjc+bM4c9//rNsoPHggw/y+OOPo9PpePTRR2VPYZUzBrX8q6JsPvnJT+J2u3nzzTex2WyxXs5x8Xg8CIKAzWbD4/FwySWXcP/993P55ZfHemkxo7W1laysrOPeDPl8Pl5++WXKysooLy/nE5/4hJwJG62bKEEQ+O53v4vf7+exxx6b0tLzK6+8wqc//Wn0ej3f+ta3AHj44Yeprq7mxhtvZO/evbS3t3PxxRdz+PDh0+pGUeWEqOVfFeVSWVlJR0cHRqNR8YIK0NXVxQUXXEBRURHnnHMO69atO6sFFYYSgk4kGhaLhdLSUv7617+yb98+1q1bx9NPP815553HXXfdxT//+U9CodBJr0EURb7//e8zMDDAb3/72yk/y7300ktlW8jVq1fT2toKwPbt27nhhhswmUzMnj2buXPnsnfv3ildi8qZi2qorzIpOjo6uPnmm9m+fTv/8z//w0svvaR4gcrPz+fAgQOxXsZpjZQJu27dOkKhEP/85z8pKyvjm9/8Jueccw4lJSVcdNFFGI3GCT2eKIo8+OCDtLe3s2XLlmnfFT7xxBNcf/31wFAk4erVq+Xv5ebm0tbWNq3rUTlzUEVVZcJ4vV6uueYafv7zn1NQUMD3vvc9vvWtbyleVFWii8Fg4NJLL+XSSy8lHA7zr3/9i2effZbvfve7FBcXU1JSwtq1azGbzWP+e1EU+cUvfkFdXR1PPfVUVAX14osvprOz85iv/+hHP6KkpET+s16v5+abb47a86qoSKhnqioqUWbTpk3s3LmT9PR0qqqqgKERluuvv56mpiby8vLYunUrSUlJMV5pdIlEIuzZs4dt27bx+uuvU1BQQGlpKZdeeilxcXHAkKD+5je/4b333mPr1q0YDIZpXeOTTz7JH/7wB15//XV5TQ8++CAA9913HwCXXXYZmzdv5rzzzpvWtalMKWqjkorK6crbb79NfHw8t956qyyq3/zmN0lOTubee+/loYceoq+vj4cffjjGK506BEHggw8+oKysjFdeeYU5c+ZQUlJCR0cH//73vykrK8NkMk3rml566SW+9rWv8dZbb5GWliZ//eDBg9x0001yo9LatWupq6tTG5XOLFRRVVE5nWlqamL9+vWyqC5YsIA333yTrKwsOjo6uOiii6itrY3xKqcHQRA4cOAA//d//8c//vEP9u/fP25peCqZO3cugUCAlJQUYKhZ6fe//z0wVBJ+4okn0Ov1PPLII1xxxRXTvj6VKUUVVRWV05nRopqYmEh/fz8wVAJNSkqS/66iojLlqCM1KipnKhqNRnUMUlE5Q1FFVUVlGsjIyKCjowMYGktKT0+P8YpUVFSmAlVUVVSmgauvvpotW7YAsGXLFnm8Q0VF5cxCPVNVUYkyN954I2+++Sbd3d1kZGTwwAMPUFpaysaNGzl69CizZs1i69atJCcnx3qpKipnC2qjkoqKioqKSpRQG5VUVFRUVFRON1RRVVE5g9i0aRPp6eksWbJE/trmzZvJycmhuLiY4uJidu/eHcMVqqic2aiiqqJyBvG5z32Ol1566Zivf/WrX6W8vJzy8nKuvPLKGKxMReXsQBVVFZUziE984hNqA5SKSgxRRVVF5SzgN7/5DYWFhWzatIm+vr5YL0dF5YxFFVUVlTOcr3zlK9TX11NeXk5WVhZf//rXY70kFZUzFlVUVVTOcDIyMtDpdGi1Wr70pS+xd+/eWC9JReWMRRVVFZUzHMkeEeD5558f0RmsoqISXfSxXoCKikr0GO7mlJubywMPPMCbb75JeXk5Go2GvLw8/vCHP8R6mSoqZyyqo5KKioqKypmO6qikoqKioqJyuqGKqoqKioqKSpRQRVVFRUVFRSVKqKKqoqKioqISJVRRVVFRUVFRiRKqqKqoqKioqEQJVVRVVFRUVFSihCqqKioqKioqUUIVVRUVFRUVlSihiqqKioqKikqUUEVVRUVFRUUlSpzIUH/a/BJVVFRUVFROd9SdqoqKioqKSpRQRVVFRUVFRSVKqKKqoqKioqISJVRRVVFRUVFRiRKqqKqoqKioqEQJVVRVVFRUVFSixP8PEnjTeUBmXGUAAAAASUVORK5CYII=", "text/plain": [ "
" ] @@ -546,40 +518,28 @@ } ], "source": [ - "fig = plt.figure(figsize=(8, 8))\n", - "ax = fig.add_subplot(1, 1, 1, projection=\"3d\")\n", - "ax.plot(\n", - " x_train[:, 0], x_train[:, 1], x_train[:, 2], color=pal[0], label=\"Clean\", **plot_kws\n", - ")\n", "\n", - "ax.plot(\n", - " x_train_noisy[:, 0],\n", - " x_train_noisy[:, 1],\n", - " x_train_noisy[:, 2],\n", - " \".\",\n", - " color=pal[1],\n", - " label=\"Noisy\",\n", - " alpha=0.3,\n", - ")\n", - "ax.set(title=\"Training data\", xlabel=\"$x$\", ylabel=\"$y$\", zlabel=\"$z$\")\n", - "ax.legend()\n", - "plt.show()" + "\n", + "fig = plt.figure(figsize=(8, 8))\n", + "plot_lorenz(x_train, x_train_noisy)\n", + "fig.show()" ] }, { "cell_type": "code", - "execution_count": 15, - "id": "0f293962", + "execution_count": 16, + "id": "83289533", "metadata": { - "execution": { - "iopub.execute_input": "2022-07-06T23:09:41.448635Z", - "iopub.status.busy": "2022-07-06T23:09:41.448396Z", - "iopub.status.idle": "2022-07-06T23:14:29.433278Z", - "shell.execute_reply": "2022-07-06T23:14:29.430961Z" - } + "lines_to_next_cell": 2 }, "outputs": [], "source": [ + "diffs[8] = (\"Kalman\", ps.SINDyDerivative(kind=\"kalman\", alpha=0.0015))\n", + "diffs[10] = (\n", + " \"Kalman, reuse old x\",\n", + " ps.SINDyDerivative(kind=\"kalman\", alpha=0.0015, save_smooth=False),\n", + ")\n", + "\n", "equations_clean = {}\n", "equations_noisy = {}\n", "coefficients_clean = {}\n", @@ -607,15 +567,10 @@ }, { "cell_type": "code", - "execution_count": 16, - "id": "0a514cc2", + "execution_count": 17, + "id": "46679130", "metadata": { - "execution": { - "iopub.execute_input": "2022-07-06T23:14:29.451420Z", - "iopub.status.busy": "2022-07-06T23:14:29.450431Z", - "iopub.status.idle": "2022-07-06T23:14:29.461840Z", - "shell.execute_reply": "2022-07-06T23:14:29.460329Z" - } + "lines_to_next_cell": 2 }, "outputs": [ { @@ -634,9 +589,9 @@ " x2=-2.666 z + 1.000 x y x2=-0.692 1 + -2.616 z + 0.995 x y \n", "-------------------------------------------------------------------------------------------\n", "Smoothed Finite Difference \n", - " x0=-9.999 x + 9.999 y x0=-9.714 x + 9.764 y \n", - " x1=27.992 x + -0.998 y + -1.000 x z x1=26.425 x + -0.533 y + -0.964 x z \n", - " x2=-2.666 z + 1.000 x y x2=-0.907 1 + -2.624 z + 0.998 x y \n", + " x0=-9.999 x + 9.999 y x0=-9.914 x + 9.933 y \n", + " x1=27.992 x + -0.999 y + -1.000 x z x1=27.444 x + -0.845 y + -0.987 x z \n", + " x2=-2.666 z + 1.000 x y x2=-0.745 1 + -2.645 z + 1.004 x y \n", "-------------------------------------------------------------------------------------------\n", "Savitzky Golay \n", " x0=-9.935 x + 9.935 y x0=-9.604 x + 9.651 y \n", @@ -662,32 +617,44 @@ " x0=-1.683 1 + -9.076 x + 9.149 y x0=-1.752 1 + -8.919 x + 9.042 y \n", " x1=28.807 x + -1.369 y + -1.015 x z x1=26.175 x + -0.609 y + -0.954 x z \n", " x2=86.435 1 + -7.282 z + 1.365 x^2 x2=83.111 1 + 0.519 y + -7.134 z + 1.335 x^2\n", + "-------------------------------------------------------------------------------------------\n", + "Kalman \n", + " x0=-9.999 x + 10.001 y x0=-9.948 x + 9.962 y \n", + " x1=28.136 x + -1.042 y + -1.004 x z x1=28.021 x + -1.038 y + -1.001 x z \n", + " x2=-2.674 z + 1.003 x y x2=-0.589 1 + -2.644 z + 1.005 x y \n", + "-------------------------------------------------------------------------------------------\n", + "Smooth FD, reuse old x \n", + " x0=-9.999 x + 9.999 y x0=-9.714 x + 9.764 y \n", + " x1=27.992 x + -0.998 y + -1.000 x z x1=26.425 x + -0.533 y + -0.964 x z \n", + " x2=-2.666 z + 1.000 x y x2=-0.907 1 + -2.624 z + 0.998 x y \n", + "-------------------------------------------------------------------------------------------\n", + "Kalman, reuse old x \n", + " x0=-9.981 x + 9.982 y x0=-9.650 x + 9.700 y \n", + " x1=27.960 x + -1.014 y + -0.998 x z x1=26.752 x + -0.692 y + -0.969 x z \n", + " x2=-2.665 z + 0.999 x y x2=-0.831 1 + -2.609 z + 0.994 x y \n", "-------------------------------------------------------------------------------------------\n" ] } ], "source": [ + "\n", + "\n", "print_equations(equations_clean, equations_noisy)" ] }, { "cell_type": "code", - "execution_count": 17, - "id": "7d737105", + "execution_count": 18, + "id": "5efd645c", "metadata": { - "execution": { - "iopub.execute_input": "2022-07-06T23:14:29.472262Z", - "iopub.status.busy": "2022-07-06T23:14:29.471494Z", - "iopub.status.idle": "2022-07-06T23:14:32.118310Z", - "shell.execute_reply": "2022-07-06T23:14:32.117140Z" - } + "lines_to_next_cell": 2 }, "outputs": [ { "data": { - "image/png": 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\n", + "image/png": 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", "text/plain": [ - "
" + "
" ] }, "metadata": {}, @@ -695,6 +662,8 @@ } ], "source": [ + "\n", + "\n", "feature_names = model.get_feature_names()\n", "compare_coefficient_plots(\n", " coefficients_clean,\n", @@ -707,15 +676,60 @@ }, { "cell_type": "code", - "execution_count": 18, - "id": "7dfa8383", + "execution_count": null, + "id": "a649820b", "metadata": { - "execution": { - "iopub.execute_input": "2022-07-06T23:14:32.124453Z", - "iopub.status.busy": "2022-07-06T23:14:32.124240Z", - "iopub.status.idle": "2022-07-06T23:15:39.732563Z", - "shell.execute_reply": "2022-07-06T23:15:39.731003Z" + "lines_to_next_cell": 2 + }, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": 19, + "id": "eac99578", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "Text(0.5, 0.92, 'Kalman smoothed')" + ] + }, + "execution_count": 19, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" } + ], + "source": [ + "fig = plt.figure(figsize=(16.5, 8))\n", + "fig.suptitle(\"Training Data Coordinates\")\n", + "ax = fig.add_subplot(1, 2, 1, projection=\"3d\")\n", + "ax = plot_lorenz(x_train, x_train_noisy, diffs[2][1].smoothed_x_, ax=ax)\n", + "ax.set_title(\"Savitzky-Golay filtered for Smoothed FD method\")\n", + "ax = fig.add_subplot(1, 2, 2, projection=\"3d\")\n", + "ax = plot_lorenz(x_train, x_train_noisy, diffs[8][1].smoothed_x_, ax=ax)\n", + "ax.set_title(\"Kalman smoothed\")" + ] + }, + { + "cell_type": "code", + "execution_count": 20, + "id": "6b48431a", + "metadata": { + "lines_to_next_cell": 2 }, "outputs": [], "source": [ @@ -744,20 +758,15 @@ }, { "cell_type": "code", - "execution_count": 19, - "id": "3338bd98", + "execution_count": 21, + "id": "35a38fc0", "metadata": { - "execution": { - "iopub.execute_input": "2022-07-06T23:15:39.738608Z", - "iopub.status.busy": "2022-07-06T23:15:39.738368Z", - "iopub.status.idle": "2022-07-06T23:15:40.225042Z", - "shell.execute_reply": "2022-07-06T23:15:40.223990Z" - } + "lines_to_next_cell": 2 }, "outputs": [ { "data": { - "image/png": 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\n", 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", 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" ] @@ -769,6 +778,8 @@ } ], "source": [ + "\n", + "\n", "plt.figure()\n", "plt.grid(True)\n", "plt.semilogy(spectral_times[:, 0], label=\"derivative python package\")\n", @@ -781,20 +792,15 @@ }, { "cell_type": "code", - "execution_count": 20, - "id": "69ba7802", + "execution_count": 22, + "id": "43120452", "metadata": { - "execution": { - "iopub.execute_input": "2022-07-06T23:15:40.230194Z", - "iopub.status.busy": "2022-07-06T23:15:40.229983Z", - "iopub.status.idle": "2022-07-06T23:15:40.367220Z", - "shell.execute_reply": "2022-07-06T23:15:40.366431Z" - } + "lines_to_next_cell": 2 }, "outputs": [ { "data": { - "image/png": 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\n", + "image/png": 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", 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" ] @@ -806,6 +812,8 @@ } ], "source": [ + "\n", + "\n", "# Check error improves as order increases\n", "x = np.linspace(0, 2 * np.pi, 100)\n", "y = np.sin(x) - x**5\n", @@ -822,28 +830,18 @@ "plt.xlabel(\"Finite difference order\")\n", "plt.show()" ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "1f28fa92", - "metadata": {}, - "outputs": [], - "source": [] } ], "metadata": { "jupytext": { "cell_metadata_filter": "-all", + "encoding": "# coding: utf-8", + "executable": "/usr/bin/env python", "main_language": "python", - "notebook_metadata_filter": "-all", - "text_representation": { - "extension": ".py", - "format_name": "percent" - } + "notebook_metadata_filter": "-all" }, "kernelspec": { - "display_name": "Python 3 (ipykernel)", + "display_name": "env", "language": "python", "name": "python3" }, @@ -857,7 +855,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.9.12" + "version": "3.10.6" } }, "nbformat": 4, diff --git a/examples/5_differentiation/example.py b/examples/5_differentiation/example.py index 071d5d91d..cc33876d4 100644 --- a/examples/5_differentiation/example.py +++ b/examples/5_differentiation/example.py @@ -1,10 +1,9 @@ -#!/usr/bin/env python -# coding: utf-8 -# # Differentiators in PySINDy +# %% [markdown] +# Differentiators in PySINDy # # This notebook explores the differentiation methods available in PySINDy. Most of the methods are powered by the [derivative](https://pypi.org/project/derivative/) package. While this notebook explores these methods on temporal data, these apply equally well to the computation of spatial derivatives for SINDy for PDE identification (see example Jupyter notebooks 10 and 12, on PDEs and weak forms). # [![Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/dynamicslab/pysindy/v1.7?filepath=examples/5_differentiation.ipynb) -# In[1]: +# %% import warnings import matplotlib.pyplot as plt @@ -23,11 +22,11 @@ integrator_keywords["atol"] = 1e-12 from utils import ( - plot_kws, - pal, compare_methods, print_equations, compare_coefficient_plots, + plot_sho, + plot_lorenz, ) if __name__ != "testing": @@ -50,6 +49,7 @@ ) +# %% [markdown] # In the cell below we define all the available differentiators. Note that the different options in `SINDyDerivative` all originate from `derivative`. # # * `FiniteDifference` - First order (forward difference) or second order (centered difference) finite difference methods with the ability to drop endpoints. Does *not* assume a uniform time step. Appropriate for smooth data. @@ -60,7 +60,7 @@ # * `trend_filtered` - Use total squared variations to fit the data (computes a global derivative that is a piecewise combination of polynomials of a chosen order). Set `order=0` to obtain the total-variational derivative. Appropriate for noisy data # * `spectral` - Compute the spectral derivative of the data via Fourier Transform. Appropriate for very smooth (i.e. analytic) data. There is an in-house PySINDy version for speed but this is also included in the derivative package. -# In[2]: +# %% diffs = [ @@ -75,13 +75,15 @@ ("Trend Filtered", ps.SINDyDerivative(kind="trend_filtered", order=0, alpha=1e-2)), ("Spectral", ps.SINDyDerivative(kind="spectral")), ("Spectral, PySINDy version", ps.SpectralDerivative()), + ("Kalman", ps.SINDyDerivative(kind="kalman", alpha=0.05)), ] +# %% [markdown] # ## Compare differentiation methods directly # First we'll use the methods to numerically approximate derivatives to measurement data directly, without bringing SINDy into the picture. We'll compare the different methods' accuracies when working with clean data ("approx" in the plots) and data with a small amount of white noise ("noisy"). -# In[3]: +# %% noise_level = 0.01 @@ -89,7 +91,7 @@ # ### Sine -# In[4]: +# %% # True data @@ -100,7 +102,7 @@ # ### Absolute value -# In[5]: +# %% # Shrink window for Savitzky Golay method @@ -108,6 +110,7 @@ "Savitzky Golay", ps.SINDyDerivative(kind="savitzky_golay", left=0.1, right=0.1, order=3), ) +diffs[8] = ("Kalman", ps.SINDyDerivative(kind="kalman", alpha=0.01)) x, y, y_dot, y_noisy = gen_data_step(noise_level) @@ -115,54 +118,45 @@ plt.show() +# %% [markdown] # ## Compare differentiators when used in PySINDy # We got some idea of the performance of the differentiation options applied to raw data. Next we'll look at how they work as a single component of the SINDy algorithm. - +# # ### Linear oscillator # $$ \frac{d}{dt} \begin{bmatrix}x \\ y\end{bmatrix} = \begin{bmatrix} -0.1 & 2 \\ -2 & -0.1 \end{bmatrix} \begin{bmatrix}x \\ y\end{bmatrix} $$ +# +# + +# -# In[6]: +# %% noise_level = 0.1 - -# In[7]: +# %% # Generate training data dt, t_train, x_train, x_train_noisy = gen_data_sho(noise_level, integrator_keywords) - -# In[8]: - - -fig, ax = plt.subplots(1, 1, figsize=(5, 5)) - -ax.plot(x_train[:, 0], x_train[:, 1], ".", label="Clean", color=pal[0], **plot_kws) -ax.plot( - x_train_noisy[:, 0], - x_train_noisy[:, 1], - ".", - label="Noisy", - color=pal[1], - **plot_kws -) - -ax.set(title="Training data", xlabel="$x_0$", ylabel="$x_1$") -ax.legend() -plt.show() - - -# In[9]: - +# %% +figure = plt.figure(figsize=[5, 5]) +plot_sho(x_train, x_train_noisy) # Allow Trend Filtered method to work with linear functions diffs[5] = ( "Trend Filtered", ps.SINDyDerivative(kind="trend_filtered", order=1, alpha=1e-2), ) +diffs[8] = ("Kalman", ps.SINDyDerivative(kind="kalman", alpha=0.5)) +diffs.append(("Smooth FD, reuse old x", ps.SmoothedFiniteDifference(save_smooth=False))) +diffs.append( + ( + "Kalman, reuse old x", + ps.SINDyDerivative(kind="kalman", alpha=0.5, save_smooth=False), + ) +) equations_clean = {} equations_noisy = {} @@ -187,14 +181,12 @@ equations_noisy[name] = model.equations() coefficients_noisy[name] = model.coefficients() - -# In[10]: +# %% print_equations(equations_clean, equations_noisy) - -# In[11]: +# %% feature_names = model.get_feature_names() @@ -206,50 +198,51 @@ ) plt.show() - +# %% [markdown] +# +# We can take a look at the smoothed values of x that some differentiation +# methods implicitly calculate: + +# %% +fig = plt.figure(figsize=[12, 5]) +fig.suptitle("Training Data Coordinates") +plt.subplot(1, 2, 1) +ax = plot_sho(x_train, x_train_noisy, diffs[2][1].smoothed_x_) +ax.set_title("Savitzky-Golay filtered for Smoothed FD method") +plt.subplot(1, 2, 2) +ax = plot_sho(x_train, x_train_noisy, diffs[8][1].smoothed_x_) +ax.set_title("Kalman smoothed") + +# %% [markdown] # ### Lorenz system # # $$ \begin{aligned} \dot x &= 10(y-x)\\ \dot y &= x(28 - z) - y \\ \dot z &= xy - \tfrac{8}{3} z, \end{aligned} $$ # -# In[12]: +# %% noise_level = 0.5 - -# In[13]: +# %% # Generate measurement data dt, t_train, x_train, x_train_noisy = gen_data_lorenz(noise_level, integrator_keywords) - -# In[14]: +# %% fig = plt.figure(figsize=(8, 8)) -ax = fig.add_subplot(1, 1, 1, projection="3d") -ax.plot( - x_train[:, 0], x_train[:, 1], x_train[:, 2], color=pal[0], label="Clean", **plot_kws -) - -ax.plot( - x_train_noisy[:, 0], - x_train_noisy[:, 1], - x_train_noisy[:, 2], - ".", - color=pal[1], - label="Noisy", - alpha=0.3, +plot_lorenz(x_train, x_train_noisy) +fig.show() + +# %% +diffs[8] = ("Kalman", ps.SINDyDerivative(kind="kalman", alpha=0.0015)) +diffs[10] = ( + "Kalman, reuse old x", + ps.SINDyDerivative(kind="kalman", alpha=0.0015, save_smooth=False), ) -ax.set(title="Training data", xlabel="$x$", ylabel="$y$", zlabel="$z$") -ax.legend() -plt.show() - - -# In[15]: - equations_clean = {} equations_noisy = {} @@ -275,14 +268,12 @@ equations_noisy[name] = model.equations() coefficients_noisy[name] = model.coefficients() - -# In[16]: +# %% print_equations(equations_clean, equations_noisy) - -# In[17]: +# %% feature_names = model.get_feature_names() @@ -294,10 +285,20 @@ ) plt.show() +# %% -# In[18]: +# %% +fig = plt.figure(figsize=(16.5, 8)) +fig.suptitle("Training Data Coordinates") +ax = fig.add_subplot(1, 2, 1, projection="3d") +ax = plot_lorenz(x_train, x_train_noisy, diffs[2][1].smoothed_x_, ax=ax) +ax.set_title("Savitzky-Golay filtered for Smoothed FD method") +ax = fig.add_subplot(1, 2, 2, projection="3d") +ax = plot_lorenz(x_train, x_train_noisy, diffs[8][1].smoothed_x_, ax=ax) +ax.set_title("Kalman smoothed") +# %% import timeit N_spectral = np.logspace(1, 8, n_spectral, dtype=int) @@ -320,8 +321,7 @@ stop = timeit.default_timer() spectral_times[i, 1] = stop - start - -# In[19]: +# %% plt.figure() @@ -333,8 +333,7 @@ plt.legend() plt.show() - -# In[20]: +# %% # Check error improves as order increases @@ -352,6 +351,3 @@ plt.ylabel("Derivative error") plt.xlabel("Finite difference order") plt.show() - - -# In[ ]: diff --git a/examples/5_differentiation/utils.py b/examples/5_differentiation/utils.py index 2c1fe173a..0b7c2a4df 100644 --- a/examples/5_differentiation/utils.py +++ b/examples/5_differentiation/utils.py @@ -116,3 +116,65 @@ def signed_sqrt(x): axs[1, 0].set_ylabel("Noisy", labelpad=10) fig.tight_layout() + + +def plot_sho(x_train, x_train_noisy, x_smoothed=None): + ax = plt.gca() + ax.plot(x_train[:, 0], x_train[:, 1], ".", label="Clean", color=pal[0], **plot_kws) + ax.plot( + x_train_noisy[:, 0], + x_train_noisy[:, 1], + ".", + label="Noisy", + color=pal[1], + **plot_kws, + ) + if x_smoothed is not None: + ax.plot( + x_smoothed[:, 0], + x_smoothed[:, 1], + ".", + label="Smoothed", + color=pal[2], + **plot_kws, + ) + + ax.set(title="Training data", xlabel="$x_0$", ylabel="$x_1$") + ax.legend() + return ax + + +def plot_lorenz(x_train, x_train_noisy, x_smoothed=None, ax=None): + if ax is None: + ax = plt.axes(projection="3d") + ax.plot( + x_train[:, 0], + x_train[:, 1], + x_train[:, 2], + color=pal[0], + label="Clean", + **plot_kws, + ) + + ax.plot( + x_train_noisy[:, 0], + x_train_noisy[:, 1], + x_train_noisy[:, 2], + ".", + color=pal[1], + label="Noisy", + alpha=0.3, + ) + if x_smoothed is not None: + ax.plot( + x_smoothed[:, 0], + x_smoothed[:, 1], + x_smoothed[:, 2], + ".", + color=pal[2], + label="Smoothed", + alpha=0.3, + ) + ax.set(title="Training data", xlabel="$x$", ylabel="$y$", zlabel="$z$") + ax.legend() + return ax diff --git a/examples/6_deeptime_compatibility.ipynb b/examples/6_deeptime_compatibility.ipynb index e013f24ba..c3f674b3d 100644 --- a/examples/6_deeptime_compatibility.ipynb +++ b/examples/6_deeptime_compatibility.ipynb @@ -15,7 +15,7 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "[![Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/dynamicslab/pysindy/v1.7?filepath=examples/6_deeptime_compatibility.ipynb)" + "[![Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/dynamicslab/pysindy/v1.7.3?filepath=examples/6_deeptime_compatibility.ipynb)" ] }, { diff --git a/examples/7_plasma_examples.ipynb b/examples/7_plasma_examples.ipynb index 0af2777fb..c29d9c630 100644 --- a/examples/7_plasma_examples.ipynb +++ b/examples/7_plasma_examples.ipynb @@ -12,7 +12,7 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "[![Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/dynamicslab/pysindy/v1.7?filepath=examples/7_plasma_examples.ipynb)" + "[![Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/dynamicslab/pysindy/v1.7.3?filepath=examples/7_plasma_examples.ipynb)" ] }, { diff --git a/examples/8_trapping_sindy_examples/.gitignore b/examples/8_trapping_sindy_examples/.gitignore new file mode 100644 index 000000000..a13633799 --- /dev/null +++ b/examples/8_trapping_sindy_examples/.gitignore @@ -0,0 +1 @@ +*.pdf diff --git a/examples/8_trapping_sindy_examples/dysts_examples.py b/examples/8_trapping_sindy_examples/dysts_examples.py new file mode 100644 index 000000000..280879c02 --- /dev/null +++ b/examples/8_trapping_sindy_examples/dysts_examples.py @@ -0,0 +1,581 @@ +# %% [markdown] +# ### More locally stable models on examples pulled from the dysts database of chaotic systems + bonus: best reduced-order models to-date for the lid-cavity flow +# Here we test the locally stable trapping theorem on additional systems from the dysts database, https://github.com/williamgilpin/dysts, that (in principle) satisfy the totally-symmetric quadratic coefficient constraint. The locally stable trapping method allows the quadratic models to deviate from being totally symmetric by a small amount. These deviations are caused by finite data, noise, or imperfect optimization. +# %% +import warnings + +import numpy as np +from matplotlib import pyplot as plt +from scipy.integrate import solve_ivp +from trapping_utils import check_local_stability +from trapping_utils import integrator_keywords +from trapping_utils import load_data +from trapping_utils import make_trap_progress_plots +from trapping_utils import obj_function +from trapping_utils import sindy_library + +import pysindy as ps + +# ignore warnings +warnings.filterwarnings("ignore") +np.random.seed(1) + +# %% [markdown] +# The local stability version of Trapping SINDy reduces to the following unconstrained optimization problem: +# $$\text{argmin}_{\mathbf{\xi},\mathbf m}\|\dot{\mathbf a} - \mathbf \Theta(\mathbf a) \mathbf{\xi}\|^2 + \gamma R(\mathbf \xi) + \eta^{-1} \lambda_1(\mathbf A) + \alpha^{-1}\|Q_{ijk}\| + \beta^{-1}\|Q_{ijk} + Q_{jki} + Q_{kij}\|.$$ +# We now solve this problem for $\beta \ll \alpha$. +# +# A conservative estimate of the local stability is: +# $$\rho_+ = \frac{3|\lambda_{\text{max}}|}{2r^{\frac{3}{2}}\epsilon_Q} \left( 1 + \sqrt{1 - \frac{4r^{\frac{3}{2}}\epsilon_Q}{3\lambda^2_{\text{max}}(\textbf{A}_S)\|\mathbf{d}\|_2}} \right).$$ +# And the radius of the trapping region is given by: +# $$\rho_- = \frac{3|\lambda_{\text{max}}|}{2r^{\frac{3}{2}}\epsilon_Q} \left( 1 - \sqrt{1 - \frac{4r^{\frac{3}{2}}\epsilon_Q}{3\lambda^2_{\text{max}}(\textbf{A}_S)\|\mathbf{d}\|_2}} \right).$$ + +# %% [markdown] +# ### Dysts database contains a number of quadratically nonlinear chaotic systems with the special energy-preserving nonlinear symmetry. +# You will need to install the dysts database with 'pip install dysts' or similar command (see https://github.com/williamgilpin/dysts) in order to load in the data. + +# %% +import dysts.flows as flows + +# List below picks out the polynomially nonlinear systems that are quadratic and +# exhibit the special structure in the quadratic coefficients. +trapping_system_list = np.array( + [2, 3, 7, 10, 18, 24, 27, 29, 30, 34, 40, 46, 47, 66, 67] +) +systems_list = [ + "Aizawa", + "Bouali2", + "GenesioTesi", + "HyperBao", + "HyperCai", + "HyperJha", + "HyperLorenz", + "HyperLu", + "HyperPang", + "Laser", + "Lorenz", + "LorenzBounded", + "MooreSpiegel", + "Rossler", + "ShimizuMorioka", + "HenonHeiles", + "GuckenheimerHolmes", + "Halvorsen", + "KawczynskiStrizhak", + "VallisElNino", + "RabinovichFabrikant", + "NoseHoover", + "Dadras", + "RikitakeDynamo", + "NuclearQuadrupole", + "PehlivanWei", + "SprottTorus", + "SprottJerk", + "SprottA", + "SprottB", + "SprottC", + "SprottD", + "SprottE", + "SprottF", + "SprottG", + "SprottH", + "SprottI", + "SprottJ", + "SprottK", + "SprottL", + "SprottM", + "SprottN", + "SprottO", + "SprottP", + "SprottQ", + "SprottR", + "SprottS", + "Rucklidge", + "Sakarya", + "RayleighBenard", + "Finance", + "LuChenCheng", + "LuChen", + "QiChen", + "ZhouChen", + "BurkeShaw", + "Chen", + "ChenLee", + "WangSun", + "DequanLi", + "NewtonLiepnik", + "HyperRossler", + "HyperQi", + "Qi", + "LorenzStenflo", + "HyperYangChen", + "HyperYan", + "HyperXu", + "HyperWang", + "Hadley", +] +alphabetical_sort = np.argsort(systems_list) +systems_list = (np.array(systems_list)[alphabetical_sort])[trapping_system_list] + +# attributes list +attributes = [ + "maximum_lyapunov_estimated", + "lyapunov_spectrum_estimated", + "embedding_dimension", + "parameters", + "dt", + "hamiltonian", + "period", + "unbounded_indices", +] + +# Get attributes +all_properties = dict() +for i, equation_name in enumerate(systems_list): + eq = getattr(flows, equation_name)() + attr_vals = [getattr(eq, item, None) for item in attributes] + all_properties[equation_name] = dict(zip(attributes, attr_vals)) + +# Get training and testing trajectories for all the experimental systems +n = 1000 # Trajectories with 1000 points +pts_per_period = 100 # sampling with 100 points per period +n_trajectories = 1 # generate n_trajectories starting from different initial conditions on the attractor +all_sols_train, all_t_train, all_sols_test, all_t_test = load_data( + systems_list, + all_properties, + n=n, + pts_per_period=pts_per_period, + random_bump=False, # optionally start with initial conditions pushed slightly off the attractor + include_transients=False, # optionally do high-resolution sampling at rate proportional to the dt parameter + n_trajectories=n_trajectories, +) + +# %% [markdown] +# #### Get some more information about the dynamical systems and their true equation coefficients + +# %% +from dysts.equation_utils import make_dysts_true_coefficients + +num_attractors = len(systems_list) + +# Calculate some dynamical properties +lyap_list = [] +dimension_list = [] +param_list = [] + +# Calculate various definitions of scale separation +scale_list_avg = [] +scale_list = [] +linear_scale_list = [] + +for system in systems_list: + lyap_list.append(all_properties[system]["maximum_lyapunov_estimated"]) + dimension_list.append(all_properties[system]["embedding_dimension"]) + param_list.append(all_properties[system]["parameters"]) + + # Ratio of dominant (average) to smallest timescales + scale_list_avg.append( + all_properties[system]["period"] / all_properties[system]["dt"] + ) + + +# Get the true coefficients for each system +true_coefficients = make_dysts_true_coefficients( + systems_list, all_sols_train, dimension_list, param_list +) + +# %% [markdown] +# ### Issues with using the trapping theorem with some of the dysts systems +# The trapping theorem and its variants require that systems are "effectively nonlinear", meaning there are no *invariant* linear subspaces where the system trajectories can escape to infinity. +# +# It turns out that Burke-Shaw, NoseHoover, SprottTorus, SprottA and SprottB are all not effectively nonlinear and exhibit subspaces where one of the coordinates can grow indefinitely! This is a good thing that the trapping theorem doesn't work for them -- these systems are *not* globally stable after all. +# +# Actually, SprottTorus has no cubic terms in the energy at all (so the trapping theorem is thwarted), and is very challenging to evaluate the boundedness. However, numerical results seem to point to it being bounded for all practical purposes (https://sprott.physics.wisc.edu/pubs/paper423.pdf). +# +# HyperPang, Chen, HyperYangChen, RayleighBernard, LuChen also not effectively nonlinear, but have stable linear (invariant) subspaces, usually (x=0, y=0, z, ...). Extending the trapping theorem to address these cases of global stability is work in progress. +# +# Finally, the systems that do work with the trapping theorem: Finance, Hadley, Lorenz, LorenzStenFlo, VallisElNino. +# +# We will illustrate how each of these systems produces a negative definite $\mathbf{A}^S$ matrix or "gets stuck" before this happens, which indicates a lack of effective nonlinearity and potential for unboundedness. +# +# *We use simulated annealing to show this with the analytic systems below, and we also fit Trapping SINDy models for each.* + +# %% +from scipy.optimize import dual_annealing as anneal_algo + +# define hyperparameters +threshold = 0 +max_iter = 5000 +eta = 1.0e3 +alpha_m = 4e-2 * eta # default is 1e-2 * eta so this speeds up the code here + +# Bounds for simulated annealing +boundmax = 1000 +boundmin = -1000 + +plt.figure(figsize=(20, 6)) +for i in range(len(systems_list)): + print(i, systems_list[i]) + r = dimension_list[i] + + # make training and testing data + t = all_t_train[systems_list[i]][0] + x_train = all_sols_train[systems_list[i]][0] + x_test = all_sols_test[systems_list[i]][0] + + # run trapping SINDy + sindy_opt = ps.TrappingSR3( + method="global", + _n_tgts=r, + _include_bias=True, + threshold=threshold, + eta=eta, + alpha_m=alpha_m, + max_iter=max_iter, + gamma=-0.1, + verbose=True, + ) + model = ps.SINDy( + optimizer=sindy_opt, + feature_library=sindy_library, + ) + model.fit(x_train, t=t) + + # Check the model coefficients and integrate it + Xi = model.coefficients().T + xdot_test = model.differentiate(x_test, t=t) + xdot_test_pred = model.predict(x_test) + x_train_pred = model.simulate(x_train[0, :], t, integrator_kws=integrator_keywords) + x_test_pred = model.simulate(x_test[0, :], t, integrator_kws=integrator_keywords) + + # Plot the integrated trajectories from the model + plt.subplot(3, 5, i + 1) + plt.plot(x_test[:, 0], x_test[:, 1]) + plt.plot(x_test_pred[:, 0], x_test_pred[:, 1], label=systems_list[i]) + plt.grid(True) + plt.legend() + + check_local_stability(r, Xi, sindy_opt, 1.0) + Xi_true = (true_coefficients[i].T)[: Xi.shape[0], :] + + # run simulated annealing on the true system to make sure the system is amenable to trapping theorem + boundvals = np.zeros((r, 2)) + boundvals[:, 0] = boundmin + boundvals[:, 1] = boundmax + PL_tensor = sindy_opt.PL_ + PM_tensor = sindy_opt.PM_ + L = np.tensordot(PL_tensor, Xi_true, axes=([3, 2], [0, 1])) + Q = np.tensordot(PM_tensor, Xi_true, axes=([4, 3], [0, 1])) + algo_sol = anneal_algo( + obj_function, bounds=boundvals, args=(L, Q, np.eye(r)), maxiter=500 + ) + opt_m = algo_sol.x + opt_energy = algo_sol.fun + print( + "Simulated annealing managed to reduce the largest eigenvalue of A^S to eig1 = ", + opt_energy, + ) + # print('Optimal m = ', opt_m, '\n') + +# %% [markdown] +# ### Verify explicitly that some of the systems have unstable invariant linear or constant subspaces +# These systems are not globally stable! + +# %% +plt.figure() +for system in ["BurkeShaw", "NoseHoover", "SprottA", "SprottB"]: + eq = getattr(flows, system)() + eq.ic = np.array([0, 0, 0]) + t_sol, sol = eq.make_trajectory( + 10000, + pts_per_period=100, + resample=True, + return_times=True, + standardize=False, + ) + style = "solid" + if system == "SprottB": + style = "--" + + # Show z-component flying off to infinity! + plt.plot(t_sol, sol[:, 2], linestyle=style, label=system) + +plt.grid(True) +plt.legend() + +# %% [markdown] +# ### Now repeat for locally stable models! +# In practice there will be finite errors in the models that leads to a breaking of the constraint. We also check again that simulated annealing gives a negative definite $\mathbf{A}^S$ matrix with the SINDy model, not with the analytic model. + +# %% +# define hyperparameters +threshold = 0 +max_iter = 5000 +eta = 1.0e7 +alpha_m = 0.1 * eta # default is 1e-2 * eta so this speeds up the code here + +stable_systems = [2, 3, 6, 7, 14] +stable_systems_list = systems_list[stable_systems] + +for i in range(len(stable_systems_list)): + plt.figure(10, figsize=(16, 3)) + r = dimension_list[stable_systems[i]] + print(i, stable_systems_list[i], r) + + # make training and testing data + t = all_t_train[stable_systems_list[i]][0] + x_train = all_sols_train[stable_systems_list[i]][0] + x_test = all_sols_test[stable_systems_list[i]][0] + + # run trapping SINDy, locally stable variant + # where the constraints are removed and beta << 1 + sindy_opt = ps.TrappingSR3( + method="local", + _n_tgts=r, + _include_bias=True, + threshold=threshold, + eta=eta, + alpha_m=alpha_m, + max_iter=max_iter, + gamma=-0.1, + verbose=True, + beta=1e-9, + ) + model = ps.SINDy( + optimizer=sindy_opt, + feature_library=sindy_library, + ) + model.fit(x_train, t=t) + + # Check the model coefficients and integrate it + Xi = model.coefficients().T + Q = np.tensordot(sindy_opt.PQ_, Xi, axes=([4, 3], [0, 1])) + xdot_test = model.differentiate(x_test, t=t) + xdot_test_pred = model.predict(x_test) + x_train_pred = model.simulate(x_train[0, :], t, integrator_kws=integrator_keywords) + x_test_pred = model.simulate(x_test[0, :], t, integrator_kws=integrator_keywords) + + # Check stability and try simulated annealing with the IDENTIFIED model + check_local_stability(r, Xi, sindy_opt, 1.0) + PL_tensor = sindy_opt.PL_ + PM_tensor = sindy_opt.PM_ + L = np.tensordot(PL_tensor, Xi, axes=([3, 2], [0, 1])) + Q = np.tensordot(PM_tensor, Xi, axes=([4, 3], [0, 1])) + boundvals = np.zeros((r, 2)) + boundvals[:, 0] = boundmin + boundvals[:, 1] = boundmax + + # run simulated annealing on the IDENTIFIED system + algo_sol = anneal_algo( + obj_function, bounds=boundvals, args=(L, Q, np.eye(r)), maxiter=500 + ) + opt_m = algo_sol.x + opt_energy = algo_sol.fun + print( + "Simulated annealing managed to reduce the largest eigenvalue of A^S to eig1 = ", + opt_energy, + ) + # print('Optimal m = ', opt_m, '\n') + plt.subplot(1, 5, i + 1) + plt.title("Dynamical System: " + stable_systems_list[i]) + plt.plot(x_test[:, 0], x_test[:, 1], label="Test trajectory") + plt.plot(x_test_pred[:, 0], x_test_pred[:, 1], label="SINDy model prediction") + plt.grid(True) + plt.xlabel(r"$x_0$") + plt.ylabel(r"$x_1$") + plt.legend() + + # Plot the rho_+ and rho_- estimates for the stable systems + plt.figure(11, figsize=(16, 3)) + plt.subplot(1, 5, i + 1) + rhos_minus, rhos_plus = make_trap_progress_plots(r, sindy_opt) + plt.yscale("log") + plt.ylim(1, rhos_plus[-1] * 1.2) + +# %% [markdown] +# ### Last demonstration: building locally stable reduced-order models for the lid-cavity flow +# First we compute a Galerkin model at different levels of truncation. This is also done in the Example 14 Jupyter notebook so we gloss over the description here. + +# %% +from scipy.io import loadmat + +data = loadmat("../data/cavityPOD.mat") +t_dns = data["t"].flatten() +a_dns = data["a"] + +# Downsample the data +skip = 1 +t_dns = t_dns[::skip] +a_dns = a_dns[::skip, :] +dt_dns = t_dns[1] - t_dns[0] +singular_vals = data["svs"].flatten() + + +class GalerkinROM: + def __init__(self, file): + model_dict = loadmat(file) + self.C = model_dict["C"][0] + self.L = model_dict["L"] + self.Q = model_dict["Q"] + + def integrate(self, x0, t, r=None, rtol=1e-3, atol=1e-6): + if r is None: + r = len(self.C) + + # Truncate model as indicated + C = self.C[:r] + L = self.L[:r, :r] + Q = self.Q[:r, :r, :r] + + # RHS of POD-Galerkin model, for time integration + def rhs(t, x): + return C + (L @ x) + np.einsum("ijk,j,k->i", Q, x, x) + + sol = solve_ivp(rhs, (t[0], t[-1]), x0[:r], t_eval=t, rtol=rtol, atol=atol) + return sol.y.T + + +# Simulate Galerkin system at various truncation levels +galerkin_model = GalerkinROM("../data/cavityGalerkin.mat") + +dt_rom = 1e-2 +t_sim = np.arange(0, 300, dt_rom) + +a0 = a_dns[0, :] + +# Finally, build a r=6 and r=16 Galerkin model +a_gal6 = galerkin_model.integrate(a0, t_sim, r=6, rtol=1e-8, atol=1e-8) +a_gal16 = galerkin_model.integrate(a0, t_sim, r=16, rtol=1e-8, atol=1e-8) + +# %% [markdown] +# ### Now try building a locally stable trapping SINDy model now +# It does not quite achieve the negative definite stability matrix, but it performs remarkably well. + +# %% +r = 6 # POD truncation + +x_train = a_dns[:, :r] +t_train = t_dns.copy() + +threshold = 0.0 +eta = 1.0e10 +alpha_m = 1e-4 * eta # default is 1e-2 * eta so this speeds up the code here +beta = 1e-5 +max_iter = 100 +sindy_opt = ps.TrappingSR3( + method="local", + _n_tgts=r, + _include_bias=True, + threshold=threshold, + eta=eta, + alpha_m=alpha_m, + max_iter=max_iter, + gamma=-0.1, + verbose=True, + beta=beta, +) + +# Fit the model +model = ps.SINDy( + optimizer=sindy_opt, + feature_library=sindy_library, +) + +model.fit(x_train, t=t_train) +Xi = model.coefficients().T +check_local_stability(r, Xi, sindy_opt, 1.0) + +# Fit a baseline model -- this is almost always an unstable model! +model_baseline = ps.SINDy( + optimizer=ps.STLSQ(threshold=0.0), + feature_library=ps.PolynomialLibrary(), +) +model_baseline.fit(x_train, t=t_train) + +# %% +# Simulate the model +a_sindy = model.simulate(a0[:r], t_sim) +a_sindy_baseline = model_baseline.simulate(a0[:r], t_sim, integrator="odeint") + +rE = 16 +E_sindy = np.sum(a_sindy[:, :rE] ** 2, 1) +E_sindy_baseline = np.sum(a_sindy_baseline[:, :rE] ** 2, 1) +E_dns = np.sum(a_dns[:, :rE] ** 2, 1) +E_gal6 = np.sum(a_gal6[:, :rE] ** 2, 1) +E_gal16 = np.sum(a_gal16[:, :rE] ** 2, 1) + +# %% [markdown] +# ### Now we plot the trajectories and energy as function of time +# Trapping SINDy model vastly outperforms the Galerkin models! + +# %% +plt.figure(figsize=(12, 7)) +plt.subplot(2, 1, 1) +plt.plot(t_dns, E_dns, "k", label="DNS", lw=3) +plt.plot(t_sim, E_gal6, label="$r=6$", lw=2, c="xkcd:dusty rose") +plt.plot(t_sim, E_gal16, label="$r=16$", lw=2, c="xkcd:brick red") +plt.plot(t_sim, E_sindy_baseline, label="Naive SINDy", lw=2, c="xkcd:grass") +plt.plot(t_sim, E_sindy, label="Trapping SINDy", lw=2, c="xkcd:ocean blue") +plt.gca().set_yscale("log") +plt.ylabel("$K$") +plt.ylim([0, 10]) +plt.xlim([0, 150]) +plt.grid() + +plt.subplot(2, 1, 2) +plt.plot(t_dns, E_dns, "k", label="DNS", lw=3) +plt.plot(t_sim, E_gal6, label="$r=6$", lw=2, c="xkcd:dusty rose") +plt.plot(t_sim, E_gal16, label="$r=16$", lw=2, c="xkcd:brick red") +plt.plot(t_sim, E_sindy_baseline, label="Naive SINDy", lw=2, c="xkcd:grass") +plt.plot(t_sim, E_sindy, label="Trapping SINDy", lw=2, c="xkcd:ocean blue") +plt.gca().set_yscale("log") +plt.legend(loc=1, fancybox=True, framealpha=1, fontsize=11) +plt.ylabel("$K$") +plt.ylim([1e-3, 1.3e-2]) +plt.xlim([0, 60]) +# plt.gca().set_yticklabels([]) +plt.grid() + +plt.subplots_adjust(wspace=0.2) +plt.savefig("cavity_plot.pdf") + +# %% +plt.figure(figsize=(18, 5)) +for i in range(r): + plt.subplot(2, r // 2, i + 1) + plt.plot(a_sindy[:, i], label="SINDy") + plt.plot(a_dns[:, i], label="DNS") + plt.plot(a_gal6[:, i], "--", label="Galerkin r=6") + plt.plot(a_gal16[:, i], "--", label="Galerkin r=16") + if i == r - 1: + plt.legend() + plt.grid() + plt.xlim(0, 4000) + plt.ylim(-0.2, 0.2) + +# %% [markdown] +# ### Last check: Trapping SINDy model reproduces the power spectral density of the data + + +# %% +# Basic power spectral density estimate using FFT +def psd_est(E, dt=1): + Ehat = np.abs((dt * np.fft.fft(E)) ** 2) + Ehat = Ehat[: int(len(Ehat) / 2)] + N = len(Ehat) + freq = 2 * np.pi * np.arange(N) / (2 * dt * N) # Frequencies in rad/s + return Ehat, freq + + +psd, freq = psd_est(E_dns, dt=t_dns[1] - t_dns[0]) +psd_sim, freq_sim = psd_est(E_sindy, dt=t_sim[1] - t_sim[0]) + +plt.figure(figsize=(12, 2.5)) +plt.semilogy(freq, psd, "k", lw=3) +plt.semilogy(freq_sim, psd_sim, "xkcd:ocean blue", lw=3) +plt.xlim([0, 28]) +plt.ylim([1e-10, 1e-2]) +plt.xlabel(r"$\omega$", fontsize=16) +plt.ylabel(r"$\log(E)$", fontsize=16) +plt.grid() +plt.show() diff --git a/examples/8_trapping_sindy_examples/trapping_extended.py b/examples/8_trapping_sindy_examples/trapping_extended.py new file mode 100644 index 000000000..5b389aba5 --- /dev/null +++ b/examples/8_trapping_sindy_examples/trapping_extended.py @@ -0,0 +1,544 @@ +# %% [markdown] +# ## Extended Trapping SINDy +# By Mai Peng and Alan Kaptanoglu +# +# A very common issue is that models identified by system identification methods typically have no guarantees that the models are numerically or physically stable. This can be addressed with heuristic, data-driven, or analytic closure models, but we have recently directly promoted globally stable models into the system identification itself (see the Example 8 Jupyter notebook). This is really nice but there are three potential caveats, (1) the regression is nonconvex and there a number of hyperparameters, so this method can be difficult to learn, and (2) in order to promote global stability, one needs an analytic result from stability theory, and the one we use applies only for quadratically nonlinear dynamics (typically fluid and plasma flows) with energy-preserving, quadratic, nonlinearities. Moreover, we have good reason to believe that (3) generic quadratically nonlinear models will always be globally *unbounded*, so for these situations we can also promote local Lyapunov stability of the origin using some variations of the original Trapping SINDy algorithm. That is the goal of this notebook -- to illustrate how various forms of global and local stability can be promoted explicitly in the SINDy method to obtain stable data-driven models. +# +# For the following, we will consider dynamical models of the form +# $$\dot{x}_i = C_i + L_{ij}x_j + Q_{ijk}x_ix_j.$$ +# For global stability promotion, we will require that the totally symmetric part of the quadratic coefficients vanishes (without loss of generality, $Q_{ijk}$ is symmetric in the last two indices): +# $$ Q_{ijk} + Q_{jik} + Q_{kij} = 0.$$ +# This equation can be implemented as a hard or soft constraint in the optimization. For dynamical models that do not satisfy this condition, we can still promote locally stable models that are stable even at very large distances of the origin. The following examples show different ways to relax this hard constraint. +# %% +import warnings + +import numpy as np +from matplotlib import pyplot as plt +from scipy.integrate import solve_ivp + +import pysindy as ps +from pysindy.utils import lorenz + +# ignore warnings +warnings.filterwarnings("ignore") + +# Import useful functions +from trapping_utils import ( + integrator_keywords, + sindy_library, + make_fits, + obj_function, + check_local_stability, + check_stability, + make_trap_progress_plots, +) + +np.random.seed(10) # for reproducibility + +# %% [markdown] +# # Lorenz model +# The Lorenz system originates from a simple fluid model of atmospheric dynamics from Lorenz et al. (1963). +# This system is likely the most famous example of chaotic, nonlinear behavior despite the somewhat innocuous system of equations, +# +# $$ +# \begin{align} +# \frac{d}{dt}\begin{bmatrix} +# x \\ +# y \\ +# z \\ +# \end{bmatrix} &= \begin{bmatrix} +# -\sigma & \sigma & 0 \\ +# \rho & -1 & 0 \\ +# 0 & 0 & -\beta +# \end{bmatrix} +# \begin{bmatrix} +# x \\ +# y \\ +# z +# \end{bmatrix} +# + +# \begin{bmatrix} +# 0 \\ +# -xz \\ +# xy +# \end{bmatrix}, \qquad +# \mathbf{A}^S = \begin{bmatrix} +# -\sigma & \frac{1}{2}(\rho+\sigma - m_3) & \frac{1}{2}m_2 \\ +# \frac{1}{2}(\rho+\sigma - m_3) & -1 & 0 \\ +# \frac{1}{2}m_2 & 0 & -\beta +# \end{bmatrix}. +# \end{align} +# $$ +# +# For Lorenz's choice of parameters, $\sigma = 10$, $\rho = 28$, $\beta = 8/3$, this system is known to exhibit a stable attractor. For $\mathbf{m} = [0,m_2,\rho+\sigma]$ ($m_1$ does not contribute to $\mathbf{A}^S$ so we set it to zero), +# +# $$ +# \begin{align} +# \mathbf{A}^S &= \begin{bmatrix} +# -\sigma & 0 & \frac{1}{2}m_2 \\ +# 0 & -1 & 0 \\ +# \frac{1}{2}m_2 & 0 & -\beta +# \end{bmatrix}, \qquad +# \lambda_1 = -1, \qquad \lambda_{\pm} = -\frac{1}{2}\left[\beta+\sigma \mp \sqrt{m_2^2 + (\beta-\sigma)^2}\right], +# \end{align} +# $$ +# +# so that if $\lambda_{\pm} < 0$, then $-2\sqrt{\sigma\beta} < m_2 < 2\sqrt{\sigma\beta}$. +# Our algorithm can successfully identify the optimal $\mathbf{m}$, and can be used to identify the inequality bounds on $m_2$ for stability. + +# %% [markdown] +# ### Check global stability of the Lorenz model +# The skew-symmetric models below are globally stable *if and only if* there exists a vector $\mathbf{m}$ such that following matrix is negative definite: +# $$A^S_{ij} = L^S_{ij} + (Q_{ijk} + Q_{jik})m_k.$$ +# Note that if the quadratic tensor has zero totally symmetric part, this is equal to +# $$A^S_{ij} = L^S_{ij} - Q_{kij}m_k.$$ +# A negative definite $\mathbf{A}^S$ turns out to also be necessary for models that do not quite satisfy the constraint on $Q_{jik}$, but in this case is not sufficient for global boundedness. +# +# A decent-enough algorithm for a nonlinear search for such a $\mathbf{m}$ that makes $A^S_{ij}$ negative definite is simulated annealing, and a simple interface is provided by scipy. + +# %% +# define parameters +r = 3 +N = int((r**2 + 3 * r) / 2.0) + 1 + +# make training and testing data +dt = 0.01 +T = 40 +t = np.arange(0, T + dt, dt) +t_span = (t[0], t[-1]) +x0 = [1, -1, 20] +x_train = solve_ivp(lorenz, t_span, x0, t_eval=t, **integrator_keywords).y.T +x0 = (np.random.rand(3) - 0.5) * 30 +x_test = solve_ivp(lorenz, t_span, x0, t_eval=t, **integrator_keywords).y.T + +# define hyperparameters +threshold = 0 +max_iter = 5000 +eta = 1.0e3 +alpha_m = 8e-1 * eta + +# run trapping SINDy +sindy_opt = ps.TrappingSR3( + method="global", + _n_tgts=3, + _include_bias=True, + threshold=threshold, + eta=eta, + max_iter=max_iter, + gamma=-1, + verbose=True, +) +model = ps.SINDy( + optimizer=sindy_opt, + feature_library=sindy_library, +) +model.fit(x_train, t=t) +model.print() + +# Extract model coefficients and check how well constraint is satisfied +Xi = model.coefficients().T +PL_tensor = sindy_opt.PL_unsym_ +PQ_tensor = sindy_opt.PQ_ +Lenergy = np.tensordot(PL_tensor, Xi, axes=([3, 2], [0, 1])) +Q = np.tensordot(PQ_tensor, Xi, axes=([4, 3], [0, 1])) +print( + "Maximum deviation of Qijk from having zero totally symmetric part: ", + np.max(np.abs((Q + np.transpose(Q, [1, 2, 0]) + np.transpose(Q, [2, 0, 1])))), +) + +# %% +# Calculate the x_dot and x trajectories for train and test sets +xdot_test = model.differentiate(x_test, t=t) +xdot_test_pred = model.predict(x_test) +x_train_pred = model.simulate(x_train[0, :], t, integrator_kws=integrator_keywords) +x_test_pred = model.simulate(x_test[0, :], t, integrator_kws=integrator_keywords) + +# plotting and analysis +make_fits(r, t, xdot_test, xdot_test_pred, x_test, x_test_pred, "lorenz") +mean_val = np.mean(x_test_pred, axis=0) +mean_val = np.sqrt(np.sum(mean_val**2)) +E_pred = np.linalg.norm(x_test - x_test_pred) / np.linalg.norm(x_test) +print("Frobenius error = ", E_pred) +check_local_stability(r, Xi, sindy_opt, mean_val) + +# compute relative Frobenius error in the model coefficients +sigma = 10 +rho = 28 +beta = 8.0 / 3.0 + +terms = sindy_library.get_feature_names() +Xi_lorenz = np.zeros(Xi.shape) +Xi_lorenz[1 : r + 1, :] = np.array([[-sigma, sigma, 0], [rho, -1, 0], [0, 0, -beta]]).T +Xi_lorenz[terms.index("x0 x2"), 1] = -1 +Xi_lorenz[terms.index("x0 x1"), 2] = 1 + +coef_pred = np.linalg.norm(Xi_lorenz - Xi) / np.linalg.norm(Xi_lorenz) +print("Frobenius coefficient error = ", coef_pred) + +# Compute time-averaged dX/dt error +deriv_error = np.zeros(xdot_test.shape[0]) +for i in range(xdot_test.shape[0]): + deriv_error[i] = np.dot( + xdot_test[i, :] - xdot_test_pred[i, :], xdot_test[i, :] - xdot_test_pred[i, :] + ) / np.dot(xdot_test[i, :], xdot_test[i, :]) +print("Time-averaged derivative error = ", np.nanmean(deriv_error)) + +# %% [markdown] +# ### Use simulated annealing +# We are going to check if any $\mathbf{m}$ exists such that $\mathbf{A}^S$ is negative definite, using the identified coefficients, to verify again that our model is globally stable. + +# %% +# Import simulated annealing algorithm from scipy +from scipy.optimize import dual_annealing as anneal_algo + +boundvals = np.zeros((r, 2)) +boundmax = 1000 +boundmin = -1000 +boundvals[:, 0] = boundmin +boundvals[:, 1] = boundmax + +PL_tensor_unsym = sindy_opt.PL_unsym_ +PL_tensor = sindy_opt.PL_ +PM_tensor = sindy_opt.PM_ +L = np.tensordot(PL_tensor, Xi, axes=([3, 2], [0, 1])) +Q = np.tensordot(PM_tensor, Xi, axes=([4, 3], [0, 1])) + +# run simulated annealing +algo_sol = anneal_algo( + obj_function, + bounds=boundvals, # obj_function imported from utils.py + args=(L, Q, np.eye(r)), + maxiter=500, +) +opt_m = algo_sol.x +opt_energy = algo_sol.fun +opt_result = algo_sol.message +print("Result:") +print("Optimal m = ", opt_m) +print( + "Algorithm managed to reduce the largest eigenvalue of A^S to eig1 = ", + opt_energy, + "\n", +) + +# %% [markdown] +# ### Promoting locally stable models with estimates of the stability radius +# So far, we have promoted globally stable models with trapping SINDy by enforcing the skew-symmetry structure in the nonlinearities as a hard constraint in the optimization problem: +# $$\text{argmin}_{\mathbf{\xi},\mathbf m}\|\dot{\mathbf a} - \mathbf \Theta(\mathbf a) \mathbf{\xi}\|^2 + \gamma R(\mathbf \xi) + \eta \lambda_1(\mathbf A^S) \quad s.t. \quad Q_{ijk} + Q_{jik} + Q_{kji} = 0.$$ +# This problem is solved with a convex relaxation of the optimization. +# +# Below, we relax the hard constraint to a soft constraint and instead solve +# $$\text{argmin}_{\mathbf{\xi},\mathbf m}\|\dot{\mathbf a} - \mathbf \Theta(\mathbf a) \mathbf{\xi}\|^2 + \gamma R(\mathbf \xi) + \eta \lambda_1(\mathbf A^S) \quad s.t. \quad -\epsilon_Q \leq Q_{ijk} + Q_{jik} + Q_{kji} \leq \epsilon_Q.$$ +# This allows us to build locally Lyapunov stable models, and adjust the size of the local stability radius by varying $\epsilon_Q$. A conservative estimate of the local stability is: +# $$\rho_+ = \frac{3|\lambda_{\text{max}}|}{2r^{\frac{3}{2}}\epsilon_Q} \left( 1 + \sqrt{1 - \frac{4r^{\frac{3}{2}}\epsilon_Q}{3\lambda^2_{\text{max}}(\textbf{A}_S)\|\mathbf{d}\|_2}} \right).$$ +# And the radius of the trapping region is given by: +# $$\rho_- = \frac{3|\lambda_{\text{max}}|}{2r^{\frac{3}{2}}\epsilon_Q} \left( 1 - \sqrt{1 - \frac{4r^{\frac{3}{2}}\epsilon_Q}{3\lambda^2_{\text{max}}(\textbf{A}_S)\|\mathbf{d}\|_2}} \right).$$ +# +# In other words, there is a region $\rho_- < \|\mathbf{a}(t)\| < \rho_+$ such that the energy $K$ satisfies $K > 0$ and $\dot{K} < 0$, so that any trajectory with initial condition $\|\mathbf{a}_0\| < \rho_+$ will be bounded for all time. This is because it will fall towards the origin until at least it reaches $\rho_-$, and then it stays in the ball of radius $\rho_-$ for all time. + +# %% [markdown] +# ### A better way to optimize +# However, we find empirically that CVXPY struggles to solve the inequality-constrained problem adequately, and find much better performance by incorporating the constraint as a loss term in the objective. +# Two other loss terms that can be used as alternatives to increase the size of the stability radius while avoiding extra constraints: +# $$\alpha^{-1}\|Q_{ijk}\|$$ +# and +# $$\beta^{-1}\|Q_{ijk} + Q_{jki} + Q_{kij}\|.$$ +# We can combine all of these options into the following unconstrained optimization problem: +# $$argmin_{\mathbf{\xi},\mathbf m}\|\dot{\mathbf a} - \mathbf \Theta(\mathbf a) \mathbf{\xi}\|^2 + \gamma R(\mathbf \xi) + \eta^{-1} \lambda_1(\mathbf A) + \alpha^{-1}\|Q_{ijk}\| + \beta^{-1}\|Q_{ijk} + Q_{jki} + Q_{kij}\|.$$ +# We now solve this problem for $\alpha \gg \beta$, $\alpha \ll \beta$, and $\alpha \sim \beta \sim 1.$ + +# %% [markdown] +# ### First case: $\alpha \gg 1$, $\beta \ll 1$, for which the model should just zero out all the quadratic nonlinear terms + +# %% +max_iter = 500 +eta = 1.0e2 +alpha = 1e-20 +beta = 1e20 +threshold = 0 + +# run trapping SINDy... no more constraints! +sindy_opt = ps.TrappingSR3( + method="local", + _n_tgts=3, + _include_bias=True, + threshold=threshold, + eta=eta, + max_iter=max_iter, + gamma=-1, + alpha=alpha, + beta=beta, + verbose=True, +) +model = ps.SINDy( + optimizer=sindy_opt, + feature_library=sindy_library, +) +model.fit(x_train, t=t) +model.print() +Xi = model.coefficients().T +PL_tensor = sindy_opt.PL_ +PQ_tensor = sindy_opt.PQ_ +Lenergy = np.tensordot(PL_tensor, Xi, axes=([3, 2], [0, 1])) +Qenergy = np.tensordot(PQ_tensor, Xi, axes=([4, 3], [0, 1])) +mean_val = np.mean(x_test_pred, axis=0) +mean_val = np.sqrt(np.sum(mean_val**2)) +check_stability(r, Xi, sindy_opt, mean_val) + +# %% [markdown] +# Indeed, we found that if $\alpha \gg 1$ large enough, the quadratic terms in the model are zeroed, which is bad news both for fitting the model and for applying the trapping theorem since the theorem relies on nontrivial quadratic contributions. + +# %% [markdown] +# ### Second case: $\alpha \ll 1$, $\beta \gg 1$, which should reproduce the energy-preserving nonlinear constraint to high accuracy +# This is a different strategy for stability -- don't make the model's quadratic nonlinearities weak, but make it so that the totally symmetric part of $Q_{ijk}$ is very small. + +# %% +max_iter = 2000 +eta = 1.0e3 +alpha = 1e20 +beta = 1e-10 +threshold = 0 +alpha_m = 0.9 * eta + +# run trapping SINDy... no more constraints! +sindy_opt = ps.TrappingSR3( + method="local", + _n_tgts=3, + _include_bias=True, + threshold=threshold, + eta=eta, + alpha_m=alpha_m, + max_iter=max_iter, + gamma=-1, + alpha=alpha, + beta=beta, + verbose=True, +) +model = ps.SINDy( + optimizer=sindy_opt, + feature_library=sindy_library, +) +model.fit(x_train, t=t) +model.print() +Xi = model.coefficients().T +PL_tensor = sindy_opt.PL_ +PQ_tensor = sindy_opt.PQ_ +Lenergy = np.tensordot(PL_tensor, Xi, axes=([3, 2], [0, 1])) +Qenergy = np.tensordot(PQ_tensor, Xi, axes=([4, 3], [0, 1])) +mean_val = np.mean(x_test_pred, axis=0) +mean_val = np.sqrt(np.sum(mean_val**2)) +check_local_stability(r, Xi, sindy_opt, mean_val) +Q = np.tensordot(sindy_opt.PQ_, Xi, axes=([4, 3], [0, 1])) + +# %% [markdown] +# ### Plot how the two stability radii changes as the algorithm iterates +# As the algorithm iterates, it is biasing the model to have a negative definite $\mathbf{A}^S$ matrix. Once this is true, we can estimate the local Lyapunov stability radius $\rho_+$ and the trapping region radius $\rho_-$. +# +# #### Note that with the soft constraint we can get the stability radius arbitrarily large here! + +# %% +rhos_minus, rhos_plus = make_trap_progress_plots(r, sindy_opt) +Q = np.tensordot(sindy_opt.PQ_, Xi, axes=([4, 3], [0, 1])) +Q_sum = np.max(np.abs((Q + np.transpose(Q, [1, 2, 0]) + np.transpose(Q, [2, 0, 1])))) +print( + "Maximum deviation from having zero totally symmetric part: ", np.max(np.abs(Q_sum)) +) + +# %% +# Calculate the x_dot and x trajectories for train and test sets +xdot_test = model.differentiate(x_test, t=t) +xdot_test_pred = model.predict(x_test) +x_train_pred = model.simulate(x_train[0, :], t, integrator_kws=integrator_keywords) +x_test_pred = model.simulate(x_test[0, :], t, integrator_kws=integrator_keywords) +x_stability_check = model.simulate(x0, t, integrator_kws=integrator_keywords) + +# plotting and analysis +make_fits(r, t, xdot_test, xdot_test_pred, x_test, x_test_pred, "lorenz") +mean_val = np.mean(x_test_pred, axis=0) +mean_val = np.sqrt(np.sum(mean_val**2)) +E_pred = np.linalg.norm(x_test - x_test_pred) / np.linalg.norm(x_test) +print("Frobenius error = ", E_pred) +check_local_stability(r, Xi, sindy_opt, mean_val) + +# compute relative Frobenius error in the model coefficients +coef_pred = np.linalg.norm(Xi_lorenz - Xi) / np.linalg.norm(Xi_lorenz) +print("Frobenius coefficient error = ", coef_pred) + +# Compute time-averaged dX/dt error +deriv_error = np.zeros(xdot_test.shape[0]) +for i in range(xdot_test.shape[0]): + deriv_error[i] = np.dot( + xdot_test[i, :] - xdot_test_pred[i, :], xdot_test[i, :] - xdot_test_pred[i, :] + ) / np.dot(xdot_test[i, :], xdot_test[i, :]) +print("Time-averaged derivative error = ", np.nanmean(deriv_error)) + +# %% [markdown] +# ### Repeat $\alpha \gg 1$, $\beta \ll 1$ case with $\lambda > 0$ +# I find that solver will fail if eps_solver parameter is made too small (error tolerance of the CVXPY solver is very stringent) + +# %% +max_iter = 100 +eta = 1.0e2 +alpha = 1e20 +beta = 1e-20 +threshold = 5 +alpha_m = 9e-1 * eta + +# run trapping SINDy... no more constraints! +sindy_opt = ps.TrappingSR3( + method="local", + _n_tgts=3, + _include_bias=True, + threshold=threshold, + eta=eta, + alpha_m=alpha_m, + max_iter=max_iter, + gamma=-1, + alpha=alpha, + beta=beta, + verbose=True, + eps_solver=1e-3, +) +model = ps.SINDy( + optimizer=sindy_opt, + feature_library=sindy_library, +) +model.fit(x_train, t=t) +model.print() +Xi = model.coefficients().T +PL_tensor = sindy_opt.PL_ +PQ_tensor = sindy_opt.PQ_ +Lenergy = np.tensordot(PL_tensor, Xi, axes=([3, 2], [0, 1])) +Qenergy = np.tensordot(PQ_tensor, Xi, axes=([4, 3], [0, 1])) +mean_val = np.mean(x_test_pred, axis=0) +mean_val = np.sqrt(np.sum(mean_val**2)) +check_local_stability(r, Xi, sindy_opt, mean_val) +Q = np.tensordot(sindy_opt.PQ_, Xi, axes=([4, 3], [0, 1])) +print( + "Maximum deviation from having zero totally symmetric part: ", + np.max(np.abs((Q + np.transpose(Q, [1, 2, 0]) + np.transpose(Q, [2, 0, 1])))), +) +# make_progress_plots(r, sindy_opt) + +# %% +rhos_minus, rhos_plus = make_trap_progress_plots(r, sindy_opt) +plt.yscale("log") +plt.ylim(1, rhos_plus[-1] * 1.2) +Q = np.tensordot(sindy_opt.PQ_, Xi, axes=([4, 3], [0, 1])) +Q_sum = np.max(np.abs((Q + np.transpose(Q, [1, 2, 0]) + np.transpose(Q, [2, 0, 1])))) +print( + "Maximum deviation from having zero totally symmetric part: ", np.max(np.abs(Q_sum)) +) + +# %% [markdown] +# ### Now we add A LOT of noise to the Lorenz data and see if trapping extended algorithm improves robustness to noise. + +# %% +lorenz_noise = np.random.normal( + 0, mean_val / 4, x_train.shape +) # 25% noise added with zero mean +x_train_noise = x_train + lorenz_noise + +max_iter = 10000 +eta = 1.0e-2 +alpha = 1e20 +beta = 1e-14 +threshold = 0 +alpha_m = 0.9 * eta + +# run trapping SINDy... no more constraints! +sindy_opt = ps.TrappingSR3( + method="local", + _n_tgts=3, + _include_bias=True, + threshold=threshold, + eta=eta, + alpha_m=alpha_m, + max_iter=max_iter, + gamma=-1, + alpha=alpha, + beta=beta, + verbose=True, +) +model = ps.SINDy( + optimizer=sindy_opt, + feature_library=sindy_library, +) +model.fit(x_train_noise, t=t) +model.print() +Xi = model.coefficients().T +PL_tensor = sindy_opt.PL_ +PQ_tensor = sindy_opt.PQ_ +Lenergy = np.tensordot(PL_tensor, Xi, axes=([3, 2], [0, 1])) +Qenergy = np.tensordot(PQ_tensor, Xi, axes=([4, 3], [0, 1])) +mean_val = np.mean(x_test_pred, axis=0) +mean_val = np.sqrt(np.sum(mean_val**2)) +check_local_stability(r, Xi, sindy_opt, mean_val) +Q = np.tensordot(sindy_opt.PQ_, Xi, axes=([4, 3], [0, 1])) +print( + "Maximum deviation from having zero totally symmetric part: ", + np.max(np.abs((Q + np.transpose(Q, [1, 2, 0]) + np.transpose(Q, [2, 0, 1])))), +) +make_trap_progress_plots(r, sindy_opt) + +# Calculate the x_dot and x trajectories for train and test sets +xdot_test = model.differentiate(x_test, t=t) +xdot_test_pred = model.predict(x_test) +x_train_pred = model.simulate(x_train[0, :], t, integrator_kws=integrator_keywords) +x_test_pred = model.simulate(x_test[0, :], t, integrator_kws=integrator_keywords) + +# compute relative Frobenius error in the model coefficients +coef_pred = np.linalg.norm(Xi_lorenz - Xi) / np.linalg.norm(Xi_lorenz) +print("Frobenius coefficient error = ", coef_pred) + +# Compute time-averaged dX/dt error +deriv_error = np.zeros(xdot_test.shape[0]) +for i in range(xdot_test.shape[0]): + deriv_error[i] = np.dot( + xdot_test[i, :] - xdot_test_pred[i, :], xdot_test[i, :] - xdot_test_pred[i, :] + ) / np.dot(xdot_test[i, :], xdot_test[i, :]) +print("Time-averaged derivative error = ", np.nanmean(deriv_error)) + +# %% +# Calculate the x_dot and x trajectories for train and test sets +xdot_test = model.differentiate(x_test, t=t) +xdot_test_pred = model.predict(x_test) +x_train_pred = model.simulate(x_train[0, :], t, integrator_kws=integrator_keywords) +x_test_pred = model.simulate(x_test[0, :], t, integrator_kws=integrator_keywords) + +# plotting and analysis +make_fits(r, t, xdot_test, xdot_test_pred, x_test, x_test_pred, "lorenz") +mean_val = np.mean(x_test_pred, axis=0) +mean_val = np.sqrt(np.sum(mean_val**2)) +E_pred = np.linalg.norm(x_test - x_test_pred) / np.linalg.norm(x_test) +print("Frobenius error = ", E_pred) +check_local_stability(r, Xi, sindy_opt, mean_val) + +# compute relative Frobenius error in the model coefficients +coef_pred = np.linalg.norm(Xi_lorenz - Xi) / np.linalg.norm(Xi_lorenz) +print("Frobenius coefficient error = ", coef_pred) + +# Compute time-averaged dX/dt error +deriv_error = np.zeros(xdot_test.shape[0]) +for i in range(xdot_test.shape[0]): + deriv_error[i] = np.dot( + xdot_test[i, :] - xdot_test_pred[i, :], xdot_test[i, :] - xdot_test_pred[i, :] + ) / np.dot(xdot_test[i, :], xdot_test[i, :]) +print("Time-averaged derivative error = ", np.nanmean(deriv_error)) + +# %% +fig = plt.figure(figsize=(10, 6)) +ax1 = fig.add_subplot(121, projection="3d") +ax1.plot(x_train_noise[:, 0], x_train_noise[:, 1], x_train_noise[:, 2], "r-") +ax1.plot(x_train_pred[:, 0], x_train_pred[:, 1], x_train_pred[:, 2], "k-") +ax1.set( + xlabel="$x_0$", ylabel="$x_1$", zlabel="$x_2$", title="model simulation + 50% noise" +) + +ax2 = fig.add_subplot(122, projection="3d") +ax2.plot(x_test[:, 0], x_test[:, 1], x_test[:, 2], "b") +ax2.plot(x_test_pred[:, 0], x_test_pred[:, 1], x_test_pred[:, 2], "k--") +ax2.set( + xlabel="$x_0$", ylabel="$x_1$", zlabel="$x_2$", title="true simulation + prediction" +) +plt.show() diff --git a/examples/8_trapping_sindy_examples/trapping_sindy_paper_examples.py b/examples/8_trapping_sindy_examples/trapping_sindy_paper_examples.py new file mode 100644 index 000000000..0df9bd671 --- /dev/null +++ b/examples/8_trapping_sindy_examples/trapping_sindy_paper_examples.py @@ -0,0 +1,879 @@ +# %% [markdown] +# # Trapping SINDy +# By Alan Kaptanoglu and Jared Callaham +# %% [markdown] +# A very common issue is that models identified by system identification methods typically have no guarantees that the models are numerically or physically stable. This can be addressed with heuristic, data-driven, or analytic closure models, but we have recently directly promoted globally stable models into the system identification itself. This is really nice but two caveats, (1) the regression is nonconvex and there a number of hyperparameters, so this method can be difficult to learn, and (2) in order to promote global stability, one needs an analytic result from stability theory, and the one we use applies only for fluid and plasma flows with energy-preserving, quadratic, nonlinearities. This energy-preserving structure is quite common for fluid flows. +# +# This example illustrates the use of a new "trapping SINDy" extension on a number of canonical fluid systems. The algorithm searches for globally stable systems with energy-preserving quadratic nonlinearities. The full description can be found in our recent paper: Kaptanoglu, Alan A., et al. "Promoting global stability in data-driven models of quadratic nonlinear dynamics." Physical Review Fluids 6.9 (2021): 094401. This builds off of the new constrained SINDy algorithm based on SR3. The trapping theorem for stability utilized in this SINDy algorithm can be found in Schlegel, M., & Noack, B. R. (2015). On long-term boundedness of Galerkin models. Journal of Fluid Mechanics, 765, 325-352. +# +# Note, important fix made in latest PySINDy version for systems with dimension > 3 for stability promotion. +# +# Note, most of these examples are run at lower resolution than in the paper, so that the notebook executes much faster. +# %% [markdown] +# [![Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/dynamicslab/pysindy/v1.7?filepath=examples/8_trapping_sindy_paper_examples.ipynb) +# %% +# Import libraries +import warnings + +import numpy as np +import scipy.io as sio +from matplotlib import pyplot as plt +from scipy.integrate import solve_ivp + +import pysindy as ps +from pysindy.utils import burgers_galerkin +from pysindy.utils import lorenz +from pysindy.utils import meanfield +from pysindy.utils import mhd +from pysindy.utils import oscillator + +# ignore user warnings +warnings.filterwarnings("ignore") + +rng = np.random.default_rng(1) + +# %% [markdown] +# ### The trapping algorithm only applies to fluid and plasma flows with energy-preserving, quadratic nonlinear structure, so we need to explicitly constrain the coefficients to conform to this structure. +# Below we import some utility functions that pre-calculate the things we need. + +# %% +from trapping_utils import ( + integrator_keywords, + sindy_library, + sindy_library_no_bias, + make_fits, + make_lissajou, + check_stability, + trapping_region, + make_progress_plots, + galerkin_model, + obj_function, +) + +# %% [markdown] +# # Mean field model +# Often the trajectories of nonlinear dynamical systems whose linear parts have some stable directions will approach slow manifolds of reduced dimension with respect to the full state space. +# As an example of this behavior, consider the following linear-quadratic system originally proposed by Noack et al. (2003) as a simplified model of the von Karman vortex shedding problem: +# $$ +# \frac{d}{dt}\begin{bmatrix}x \\ y \\z \end{bmatrix} +# = \begin{bmatrix} \mu & -1 & 0 \\1 & \mu & 0 \\ 0 & 0 & -1 \\ \end{bmatrix} +# \begin{bmatrix} x \\ y \\z \end{bmatrix} +# + \begin{bmatrix}- xz \\ - yz \\ x^2 + y^2\end{bmatrix} = \mathbf{L}\mathbf{x} + \mathbf{Q}\mathbf{xx}, +# $$ +# where $\mathbf{L}$ and $\mathbf{Q}$ denote the linear and quadratic parts of the model, respectively. +# +# Systems of this form commonly arise in PDEs with a pair of unstable eigenmodes represented by $x$ and $y$. +# The third variable $z$ models the effects of mean-field deformations due to nonlinear self-interactions of the instability modes. +# The linear component is the generic linear part of a system undergoing a supercritical Hopf bifurcation at $\mu = 0$; for $\mu \ll 1$ trajectories quickly approach the parabolic manifold defined by $z = x^2 + y^2$. +# All solutions asymptotically approach a stable limit cycle on which $z = x^2 + y^2 = \mu$. +# It can be shown that $\mathbf{m} = [0, 0, \mu+\epsilon]$, $\epsilon > 0$ produces a negative definite matrix defined through +# +# $$ +# \begin{align} +# \mathbf{A}^S = \mathbf{L}^S - \mathbf{m}\mathbf{Q} = \begin{bmatrix} +# -\epsilon & 0 & 0 \\ +# 0 & -\epsilon & 0 \\ +# 0 & 0 & -1 +# \end{bmatrix}, +# \end{align} +# $$ +# where $\mathbf{L}^S = \mathbf{L} + \mathbf{L}^T$ is the symmetrized linear part of the model. From the Schlegel and Noack trapping theorem (and our trapping SINDy paper), this negative definite matrix allows us to conclude that this system exhibits a trapping region. We can show this analytically, and illustrate below our algorithm can discover it. + +# %% +# define parameters +r = 3 +mu = 1e-2 +dt = 0.01 +T = 500 +t = np.arange(0, T + dt, dt) +t_span = (t[0], t[-1]) +x0 = rng.random((3,)) - 0.5 +x_train = solve_ivp( + meanfield, t_span, x0, t_eval=t, args=(mu,), **integrator_keywords +).y.T +x0 = (mu, mu, 0) +x_test = solve_ivp( + meanfield, t_span, x0, t_eval=t, args=(mu,), **integrator_keywords +).y.T + +# define hyperparameters +threshold = 0.0 +eta = 1e5 +max_iter = 5000 + + +# run trapping SINDy algorithm +sindy_opt = ps.TrappingSR3( + _n_tgts=3, + _include_bias=True, + threshold=threshold, + eta=eta, + max_iter=max_iter, + gamma=-1, + verbose=True, +) + +model = ps.SINDy( + optimizer=sindy_opt, + feature_library=sindy_library, + differentiation_method=ps.FiniteDifference(drop_endpoints=True), +) +model.fit(x_train, t=t) +model.print() +Xi = model.coefficients().T +xdot_test = model.differentiate(x_test, t=t) +xdot_test_pred = model.predict(x_test) +x_train_pred = model.simulate(x_train[0, :], t, integrator_kws=integrator_keywords) +x_test_pred = model.simulate(x_test[0, :], t, integrator_kws=integrator_keywords) + +# plotting and analysis +make_fits(r, t, xdot_test, xdot_test_pred, x_test, x_test_pred, "meanfield") +make_lissajou(r, x_train, x_test, x_train_pred, x_test_pred, "meanfield") +E_pred = np.linalg.norm(x_test - x_test_pred) / np.linalg.norm(x_test) +print("Frobenius Error = ", E_pred) +mean_val = np.mean(x_test_pred, axis=0) +mean_val = np.sqrt(np.sum(mean_val**2)) +check_stability(r, Xi, sindy_opt, mean_val) + +# compute relative Frobenius error in the model coefficients +terms = sindy_library.get_feature_names() +Xi_meanfield = np.zeros(Xi.shape) +Xi_meanfield[1 : r + 1, :] = np.asarray([[0.01, -1, 0], [1, 0.01, 0], [0, 0, -1]]).T +Xi_meanfield[terms.index("x0 x2"), 0] = -1 +Xi_meanfield[terms.index("x1 x2"), 1] = -1 +Xi_meanfield[terms.index("x0^2"), 2] = 1 +Xi_meanfield[terms.index("x1^2"), 2] = 1 +coef_pred = np.linalg.norm(Xi_meanfield - Xi) / np.linalg.norm(Xi_meanfield) +print("Frobenius coefficient error = ", coef_pred) + +# Compute time-averaged dX/dt error +deriv_error = np.zeros(xdot_test.shape[0]) +for i in range(xdot_test.shape[0]): + deriv_error[i] = np.dot( + xdot_test[i, :] - xdot_test_pred[i, :], xdot_test[i, :] - xdot_test_pred[i, :] + ) / np.dot(xdot_test[i, :], xdot_test[i, :]) +print("Time-averaged derivative error = ", np.nanmean(deriv_error)) + +# %% [markdown] +# Awesome! The trapping algorithm gets exactly the right model and produces a negative definite matrix, +# $$\mathbf{A}^S = \begin{bmatrix} +# -1.32 & 0 & 0 \\ +# 0 & -1.31 & 0 \\ +# 0 & 0 & -1 +# \end{bmatrix},$$ +# i.e. it identifies $\epsilon \approx 1.3$ from above. Note that with different algorithm hyperparameters it will produce different $\epsilon$, since the algorithm only cares that the matrix is negative definite (i.e. only cares about the largest eigenvalue), not the precise value of $\epsilon$. Moreover, these eigenvalues can change as the algorithm converges further. + +# %% [markdown] +# +# +# # Atmospheric oscillator model +# Here we briefly look at a more complicated Lorenz-like system of coupled oscillators that is motivated from atmospheric dynamics. The model is +# +# $$ +# \begin{align} +# \frac{d}{dt}\begin{bmatrix} +# x \\ +# y \\ +# z \\ +# \end{bmatrix} = \begin{bmatrix} +# \mu_1 & 0 & 0 \\ +# 0 & \mu_2 & \omega \\ +# 0 & -\omega & \mu_2 +# \end{bmatrix}\begin{bmatrix} +# x \\ +# y \\ +# z +# \end{bmatrix} +# + +# \begin{bmatrix} +# \sigma xy \\ +# \kappa yz + \beta z^2 - \sigma x^2 \\ +# - \kappa y^2 - \beta yz +# \end{bmatrix}. +# \end{align} +# $$ +# +# For comparison, we assume the parameter choices in Tuwankotta et al. (2006), $\mu_1 = 0.05$, $\mu_2 = -0.01$, $\omega = 3$, $\sigma = 1.1$, $\kappa = -2$, and $\beta = -6$, for which a limit cycle is known to exist. Again, the algorithm shows straightforward success finding a model with a trapping region, for a range of hyperparameter values. + +# %% +# define parameters +r = 3 +sigma = 1.1 +beta = -5.0 +eps = 0.01 +k1 = 5 +k2 = 1 +mu1 = eps * k1 +mu2 = -eps * k2 +alpha = -2.0 +omega = 3.0 + +# Make training and testing data +dt = 0.01 +T = 100 +t = np.arange(0, T + dt, dt) +t_span = (t[0], t[-1]) +x0 = rng.random((3,)) - 0.5 +x_train = solve_ivp( + oscillator, + t_span, + x0, + t_eval=t, + args=(mu1, mu2, omega, alpha, beta, sigma), + **integrator_keywords +).y.T +x0 = rng.random((3,)) - 0.5 +x_test = solve_ivp( + oscillator, + t_span, + x0, + t_eval=t, + args=(mu1, mu2, omega, alpha, beta, sigma), + **integrator_keywords +).y.T + +# define hyperparameters +eta = 1.0e8 + +# run trapping SINDy, reusing previous threshold, max_iter and constraints +sindy_opt = ps.TrappingSR3( + _n_tgts=3, + _include_bias=True, + threshold=threshold, + eta=eta, + max_iter=max_iter, +) +model = ps.SINDy( + optimizer=sindy_opt, + feature_library=sindy_library, + differentiation_method=ps.FiniteDifference(drop_endpoints=True), +) +model.fit(x_train, t=t) +model.print() +Xi = model.coefficients().T +xdot_test = model.differentiate(x_test, t=t) +xdot_test_pred = model.predict(x_test) +x_train_pred = model.simulate(x_train[0, :], t, integrator_kws=integrator_keywords) +x_test_pred = model.simulate(x_test[0, :], t, integrator_kws=integrator_keywords) + +PL_tensor = sindy_opt.PL_ +PQ_tensor = sindy_opt.PQ_ +L = np.tensordot(PL_tensor, Xi, axes=([3, 2], [0, 1])) +Q = np.tensordot(PQ_tensor, Xi, axes=([4, 3], [0, 1])) +Q_sum = np.max(np.abs((Q + np.transpose(Q, [1, 2, 0]) + np.transpose(Q, [2, 0, 1])))) +print("Max deviation from the constraints = ", Q_sum) + +# plotting and analysis +make_fits(r, t, xdot_test, xdot_test_pred, x_test, x_test_pred, "oscillator") +make_lissajou(r, x_train, x_test, x_train_pred, x_test_pred, "oscillator") +E_pred = np.linalg.norm(x_test - x_test_pred) / np.linalg.norm(x_test) +print("Frobenius error = ", E_pred) +mean_val = np.mean(x_test_pred, axis=0) +mean_val = np.sqrt(np.sum(mean_val**2)) +check_stability(r, Xi, sindy_opt, mean_val) + +# compute relative Frobenius error in the model coefficients +terms = sindy_library.get_feature_names() +Xi_oscillator = np.zeros(Xi.shape) +Xi_oscillator[1 : r + 1, :] = np.asarray( + [[mu1, 0, 0], [0, mu2, omega], [0, -omega, mu2]] +).T +Xi_oscillator[terms.index("x0 x1"), 0] = sigma +Xi_oscillator[terms.index("x1 x2"), 1] = alpha +Xi_oscillator[terms.index("x0^2"), 1] = -sigma +Xi_oscillator[terms.index("x2^2"), 1] = beta +Xi_oscillator[terms.index("x1 x2"), 2] = -beta +Xi_oscillator[terms.index("x1^2"), 2] = -alpha +coef_pred = np.linalg.norm(Xi_oscillator - Xi) / np.linalg.norm(Xi_oscillator) +print("Frobenius coefficient error = ", coef_pred) + +# Compute time-averaged dX/dt error +deriv_error = np.zeros(xdot_test.shape[0]) +for i in range(xdot_test.shape[0]): + deriv_error[i] = np.dot( + xdot_test[i, :] - xdot_test_pred[i, :], xdot_test[i, :] - xdot_test_pred[i, :] + ) / np.dot(xdot_test[i, :], xdot_test[i, :]) +print("Time-averaged derivative error = ", np.nanmean(deriv_error)) + +# %% +# make 3D illustration of the trapping region +trapping_region(r, x_test_pred, Xi, sindy_opt, "Atmospheric Oscillator") + +# %% [markdown] +# +# ### We identified a very accurate and provably stable model but the trapping region looks way too big... what's going on here? +# The estimate for the size of the trapping region is based on the smallest eigenvalue of $\mathbf{A}^S$. +# But this system has a big scale-separation, leading to $\lambda_1 = -0.01$ (while $\lambda_3 = -5.4$) and an estimate of the trapping region of $R_m = d/\lambda_1 \approx 300$. This is because our estimate of the trapping region comes from the worst case scenario. + +# %% [markdown] +# # Lorenz model +# The Lorenz system originates from a simple fluid model of atmospheric dynamics from Lorenz et al. (1963). +# This system is likely the most famous example of chaotic, nonlinear behavior despite the somewhat innocuous system of equations, +# +# $$ +# \begin{align} +# \frac{d}{dt}\begin{bmatrix} +# x \\ +# y \\ +# z \\ +# \end{bmatrix} &= \begin{bmatrix} +# -\sigma & \sigma & 0 \\ +# \rho & -1 & 0 \\ +# 0 & 0 & -\beta +# \end{bmatrix} +# \begin{bmatrix} +# x \\ +# y \\ +# z +# \end{bmatrix} +# + +# \begin{bmatrix} +# 0 \\ +# -xz \\ +# xy +# \end{bmatrix}, \qquad +# \mathbf{A}^S = \begin{bmatrix} +# -\sigma & \frac{1}{2}(\rho+\sigma - m_3) & \frac{1}{2}m_2 \\ +# \frac{1}{2}(\rho+\sigma - m_3) & -1 & 0 \\ +# \frac{1}{2}m_2 & 0 & -\beta +# \end{bmatrix}. +# \end{align} +# $$ +# +# For Lorenz's choice of parameters, $\sigma = 10$, $\rho = 28$, $\beta = 8/3$, this system is known to exhibit a stable attractor. For $\mathbf{m} = [0,m_2,\rho+\sigma]$ ($m_1$ does not contribute to $\mathbf{A}^S$ so we set it to zero), +# +# $$ +# \begin{align} +# \mathbf{A}^S &= \begin{bmatrix} +# -\sigma & 0 & \frac{1}{2}m_2 \\ +# 0 & -1 & 0 \\ +# \frac{1}{2}m_2 & 0 & -\beta +# \end{bmatrix}, \qquad +# \lambda_1 = -1, \qquad \lambda_{\pm} = -\frac{1}{2}\left[\beta+\sigma \mp \sqrt{m_2^2 + (\beta-\sigma)^2}\right], +# \end{align} +# $$ +# +# so that if $\lambda_{\pm} < 0$, then $-2\sqrt{\sigma\beta} < m_2 < 2\sqrt{\sigma\beta}$. +# Our algorithm can successfully identify the optimal $\mathbf{m}$, and can be used to identify the inequality bounds on $m_2$ for stability. + +# %% +# define parameters +r = 3 + +# make training and testing data +dt = 0.01 +T = 40 +t = np.arange(0, T + dt, dt) +t_span = (t[0], t[-1]) +x0 = [1, -1, 20] +x_train = solve_ivp(lorenz, t_span, x0, t_eval=t, **integrator_keywords).y.T +x0 = (rng.random(3) - 0.5) * 30 +x_test = solve_ivp(lorenz, t_span, x0, t_eval=t, **integrator_keywords).y.T + +# define hyperparameters +threshold = 0 +max_iter = 5000 +eta = 1.0e3 + +alpha_m = 8e-1 * eta # default is 1e-2 * eta so this speeds up the code here + +# run trapping SINDy +sindy_opt = ps.TrappingSR3( + _n_tgts=3, + _include_bias=True, + threshold=threshold, + eta=eta, + alpha_m=alpha_m, + max_iter=max_iter, + gamma=-1, + verbose=True, +) +model = ps.SINDy( + optimizer=sindy_opt, + feature_library=sindy_library, + differentiation_method=ps.FiniteDifference(drop_endpoints=True), +) +model.fit(x_train, t=t) +model.print() + +Xi = model.coefficients().T +xdot_test = model.differentiate(x_test, t=t) +xdot_test_pred = model.predict(x_test) +x_train_pred = model.simulate(x_train[0, :], t, integrator_kws=integrator_keywords) +x_test_pred = model.simulate(x_test[0, :], t, integrator_kws=integrator_keywords) + +# plotting and analysis +make_fits(r, t, xdot_test, xdot_test_pred, x_test, x_test_pred, "lorenz") +make_lissajou(r, x_train, x_test, x_train_pred, x_test_pred, "lorenz") +make_progress_plots(r, sindy_opt) + +PL_tensor = sindy_opt.PL_ +PQ_tensor = sindy_opt.PQ_ +L = np.tensordot(PL_tensor, Xi, axes=([3, 2], [0, 1])) +Q = np.tensordot(PQ_tensor, Xi, axes=([4, 3], [0, 1])) +Q_sum = np.max(np.abs((Q + np.transpose(Q, [1, 2, 0]) + np.transpose(Q, [2, 0, 1])))) +print("Max deviation from the constraints = ", Q_sum) + +mean_val = np.mean(x_test_pred, axis=0) +mean_val = np.sqrt(np.sum(mean_val**2)) +check_stability(r, Xi, sindy_opt, mean_val) +E_pred = np.linalg.norm(x_test - x_test_pred) / np.linalg.norm(x_test) +print("Frobenius error = ", E_pred) + +# compute relative Frobenius error in the model coefficients +sigma = 10 +rho = 28 +beta = 8.0 / 3.0 +terms = sindy_library.get_feature_names() +Xi_lorenz = np.zeros(Xi.shape) +Xi_lorenz[1 : r + 1, :] = np.asarray( + [[-sigma, sigma, 0], [rho, -1, 0], [0, 0, -beta]] +).T +Xi_lorenz[terms.index("x0 x2"), 1] = -1 +Xi_lorenz[terms.index("x0 x1"), 2] = 1 +coef_pred = np.linalg.norm(Xi_lorenz - Xi) / np.linalg.norm(Xi_lorenz) +print("Frobenius coefficient error = ", coef_pred) + +# Compute time-averaged dX/dt error +deriv_error = np.zeros(xdot_test.shape[0]) +for i in range(xdot_test.shape[0]): + deriv_error[i] = np.dot( + xdot_test[i, :] - xdot_test_pred[i, :], xdot_test[i, :] - xdot_test_pred[i, :] + ) / np.dot(xdot_test[i, :], xdot_test[i, :]) +print("Time-averaged derivative error = ", np.nanmean(deriv_error)) + +# %% [markdown] +# # Visualizing the trapping region for Lorenz +# Below, we plot the SINDy-identified trapping region (red) and the analytic trapping region (cyan) for the Lorenz system. The estimate for the trapping region (blue) correctly encloses the Lorenz attractor, and the red ellipsoid of positive energy growth. We can see that trajectories starting outside of this region monotonically fall into this region and remain forever, and the red and cyan ellipsoids agree well. + +# %% +# make 3D illustration of the trapping region +trapping_region(r, x_test_pred, Xi, sindy_opt, "Lorenz Attractor") + +# %% [markdown] +# ### Some of these plots are different looking than in the Trapping SINDy paper +# This is because (1) there were a few small errors in the original code and (2) we are now plotting the trapping regions not in the $\mathbf{a}(t)$ or $\mathbf{y}(t) = \mathbf{a}(t) - \mathbf{m}$ spaces, but instead in the $\mathbf{z}(t)$ eigenvector coordinates of $\mathbf{A}^S$, where the definition of the ellipsoid makes the most sense, and (3) the paper examples are typically generated from fully converged solutions run for many additional iterations. See the paper for a review of this notation. + +# %% [markdown] +# # MHD model +# Magnetohydrodynamics exhibit quadratic nonlinearities that are often energy-preserving with typical boundary conditions. +# We consider a simple model of the nonlinearity in 2D incompressible MHD, which can be obtained from Fourier-Galerkin projection onto a single triad of wave vectors. For the wave vectors $(1,1)$, $(2,-1)$, and $(3,0)$ and no background magnetic field, the Carbone and Veltri (1992) system is +# +# $$ +# \begin{align} +# \begin{bmatrix} +# \dot{V}_1 \\ +# \dot{V}_2 \\ +# \dot{V}_3 \\ +# \dot{B}_1 \\ +# \dot{B}_2 \\ +# \dot{B}_3 \\ +# \end{bmatrix} = \begin{bmatrix} +# -2 \nu & 0 & 0 & 0 & 0 & 0 \\ +# 0 & -5 \nu & 0 & 0 & 0 & 0 \\ +# 0 & 0 & -9 \nu & 0 & 0 & 0 \\ +# 0 & 0 & 0 & -2 \mu & 0 & 0 \\ +# 0 & 0 & 0 & 0 & -5 \mu & 0 \\ +# 0 & 0 & 0 & 0 & 0 & -9 \mu \\ +# \end{bmatrix}\begin{bmatrix} +# V_1 \\ +# V_2 \\ +# V_3 \\ +# B_1 \\ +# B_2 \\ +# B_3 +# \end{bmatrix} + \begin{bmatrix} +# 4(V_2V_3 - B_2B_3) \\ +# -7(V_1V_3 - B_1B_3) \\ +# 3(V_1V_2 - B_1B_2) \\ +# 2(B_3V_2 - V_3B_2) \\ +# 5(V_3B_1 - B_3V_1) \\ +# 9(V_1B_2 - B_1V_2) \\ +# \end{bmatrix}, +# \end{align} +# $$ +# +# where $\nu \geq 0$ is the viscosity and $\mu \geq 0$ is the resistivity. Without external forcing, this system is trivially stable (it dissipates to zero), so we consider the inviscid limit $\nu = \mu = 0$. The system is then Hamiltonian and our algorithm correctly converges to $\mathbf{m} = 0$, $\mathbf{A}^S = 0$. The reason our algorithm converges to the correct behavior is because it is still minimizing $\dot{K}$; in this case trapping SINDy minimizes to $\dot{K} \approx 0$ and can make no further improvement. + +# %% +# define parameters +r = 6 +nu = 0.0 # viscosity +mu = 0.0 # resistivity + +# define training and testing data +dt = 0.02 +T = 50 +t = np.arange(0, T + dt, dt) +t_span = (t[0], t[-1]) +x0 = rng.random((6,)) - 0.5 +x_train = solve_ivp(mhd, t_span, x0, t_eval=t, **integrator_keywords).y.T +x0 = rng.random((6,)) - 0.5 +x_test = solve_ivp(mhd, t_span, x0, t_eval=t, **integrator_keywords).y.T + +# define hyperparameters +threshold = 0.0 +max_iter = 1000 +eta = 1.0e10 +alpha_m = 5.0e-1 * eta + + +sindy_opt = ps.TrappingSR3( + _n_tgts=6, + _include_bias=True, + threshold=threshold, + eta=eta, + max_iter=max_iter, + verbose=True, +) +# eps_solver=1e-3) # reduce the solver tolerance for speed +model = ps.SINDy( + optimizer=sindy_opt, + feature_library=sindy_library, + differentiation_method=ps.FiniteDifference(drop_endpoints=True), +) +model.fit(x_train, t=t) +model.print() +Xi = model.coefficients().T +xdot_test = model.differentiate(x_test, t=t) +xdot_test_pred = model.predict(x_test) +x_train_pred = model.simulate(x_train[0, :], t, integrator_kws=integrator_keywords) +x_test_pred = model.simulate(x_test[0, :], t, integrator_kws=integrator_keywords) + +PL_tensor = sindy_opt.PL_ +PQ_tensor = sindy_opt.PQ_ +L = np.tensordot(PL_tensor, Xi, axes=([3, 2], [0, 1])) +Q = np.tensordot(PQ_tensor, Xi, axes=([4, 3], [0, 1])) +Q_sum = np.max(np.abs((Q + np.transpose(Q, [1, 2, 0]) + np.transpose(Q, [2, 0, 1])))) +print("Max deviation from the constraints = ", Q_sum) + +# plotting and analysis +make_lissajou(r, x_train, x_test, x_train_pred, x_test_pred, "mhd") +mean_val = np.mean(x_test_pred, axis=0) +mean_val = np.sqrt(np.sum(mean_val**2)) +check_stability(r, Xi, sindy_opt, mean_val) +E_pred = np.linalg.norm(x_test - x_test_pred) / np.linalg.norm(x_test) +print(E_pred) + +# compute relative Frobenius error in the model coefficients +terms = sindy_library.get_feature_names( + input_features=["V1", "V2", "V3", "B1", "B2", "B3"] +) +Xi_mhd = np.zeros(Xi.shape) +Xi_mhd[terms.index("V2 V3"), 0] = 4.0 +Xi_mhd[terms.index("B2 B3"), 0] = -4.0 +Xi_mhd[terms.index("V1 V3"), 1] = -7 +Xi_mhd[terms.index("B1 B3"), 1] = 7.0 +Xi_mhd[terms.index("V1 V2")] = 3.0 +Xi_mhd[terms.index("B1 B2"), 2] = -3.0 +Xi_mhd[terms.index("V2 B3"), 3] = 2.0 +Xi_mhd[terms.index("V3 B2"), 3] = -2.0 +Xi_mhd[terms.index("V1 B3"), 4] = -5.0 +Xi_mhd[terms.index("V3 B1"), 4] = 5.0 +Xi_mhd[terms.index("V1 B2"), 5] = 9.0 +Xi_mhd[terms.index("V2 B1"), 5] = -9.0 +model.print(precision=2) +coef_pred = np.linalg.norm(Xi_mhd - Xi) / np.linalg.norm(Xi_mhd) + +# Compute time-averaged dX/dt error +deriv_error = np.zeros(xdot_test.shape[0]) +for i in range(xdot_test.shape[0]): + deriv_error[i] = np.dot( + xdot_test[i, :] - xdot_test_pred[i, :], xdot_test[i, :] - xdot_test_pred[i, :] + ) / np.dot(xdot_test[i, :], xdot_test[i, :]) +print("Time-averaged derivative error = ", np.nanmean(deriv_error)) + +# %% [markdown] +# # Forced Burger's Equation +# The viscous Burgers' equation has long served as a simplified one-dimensional turbulence analogue (Burgers/Hopf 1948). The forced, viscous Burgers' equation on a periodic domain $x \in [0,2\pi)$ is: +# +# $$ +# \begin{align} +# \dot{u} &= -(U + u)\partial_x u + \nu \partial_{xx}^2u + g(x,t), +# \end{align} +# $$ +# +# where $\nu$ is viscosity and the constant $U$ models mean-flow advection. +# We project this system onto a Fourier basis and assume constant forcing acting on the largest scale, i.e. $g(x, t) = \sigma \left( a_1(t) e^{ix} + a_{-1}(t) e^{-ix} \right)$ as in Noack and Schlegel et al. (2008). +# After Fourier projection, the evolution of the coefficients $a_k(t)$ is given by the Galerkin dynamics +# +# $$ +# \begin{equation} +# \dot{a}_k = \left( \delta_{|k|1} \sigma - \nu k^2 - ikU \right) a_k - \sum_{\ell=-r}^{r} i \ell a_{\ell} a_{k - \ell}. +# \end{equation} +# $$ +# +# In the subcritical case $\sigma < \nu$ the origin of this system is stable to all perturbations and all solutions decay on long times. +# However, in the supercritical case $\sigma > \nu$ the excess energy input from the forcing cascades to the smaller dissipative scales. +# The absolute equilibrium limit $\sigma = \nu = 0$ has a Hamiltonian structure; at long times the coefficients approach thermodynamic equilibrium and equipartition of energy. For the supercritical condition $\sigma > \nu$, the trapping SINDy algorithm does not converge to a negative definite $\mathbf{A}^S$ because this system does not exhibit effective nonlinearity. +# +# We do not make a trapping SINDy model here because it takes a while to run. Instead, we show below that it does not fit the criteria of being effectively nonlinear. + +# %% +# define parameters and load in training DNS data +tstart = 0 +tend = 3000 +Burgers = sio.loadmat("../data/burgers_highres2.mat") +skip = 1 +nu = Burgers["nu"].item() +sigma = Burgers["sigma"].item() +U = Burgers["U"].item() +t = (Burgers["t"].flatten())[tstart:tend:skip] +x_train = Burgers["a"] +u_train = Burgers["u"][:, tstart:tend:skip] +theta = Burgers["x"].flatten() +spatial_modes_train = Burgers["theta"] +r = 10 +x_train = x_train[:r, tstart:tend:skip].T + +# %% [markdown] +# ### Forced Burgers' system is not effectively nonlinear +# The last bit of information we will get from this system is checking if the analytic model exhibits effective nonlinearity, a requirement for the Schlegel and Noack trapping theorem to hold. +# +# Using a simulated annealing algorithm, we can show that even the analytic 10D Galerkin Noack and Schlegel et al. (2008) model does not exhibit a $\mathbf{m}$ such that $\mathbf{A}$^S is negative definite. This is because the nonlinearity is not 'effective'. + +# %% +from scipy.optimize import dual_annealing as anneal_algo + +# get analytic L and Q operators and galerkin model +L, Q = burgers_galerkin(sigma, nu, U) +rhs = lambda t, a: galerkin_model(a, L, Q) # noqa: E731 + +# Generate initial condition from unstable eigenvectors +lamb, Phi = np.linalg.eig(L) +idx = np.argsort(-np.real(lamb)) +lamb, Phi = lamb[idx], Phi[:, idx] +a0 = np.real(1e-4 * Phi[:, :2] @ rng.random((2))) + +# define parameters +dt = 1e-3 +r = 10 +t_sim = np.arange(0, 300, dt) +t_span = (t_sim[0], t_sim[-1]) +x_train = solve_ivp(rhs, t_span, a0, t_eval=t_sim, **integrator_keywords).y.T + +# Search between -500, 500 for each component of m +boundvals = np.zeros((r, 2)) +boundmax = 500 +boundmin = -500 +boundvals[:, 0] = boundmin +boundvals[:, 1] = boundmax + +# run simulated annealing and display optimal m and +# the corresponding objective function value +Ls = 0.5 * (L + L.T) + +# obj_function defined in the utils python file +algo_sol = anneal_algo( + obj_function, bounds=boundvals, args=(Ls, Q, np.eye(r)), maxiter=2000 +) +opt_m = algo_sol.x +opt_energy = algo_sol.fun +opt_result = algo_sol.message +print("Simulated annealing ended because " + opt_result[0]) +print("Optimal m = ", opt_m) +print( + "Algorithm managed to reduce the largest eigenvalue of A^S to eig1 = ", opt_energy +) +print( + "Since the largest eigenvalue cannot be made negative, " + "we conclude that effective nonlinearity does not hold for this system." +) + +# %% [markdown] +# # Von Karman shedding behind circular cylinder, Re = 100 +# In many cases, the wake behind a bluff body is characterized by a periodic vortex shedding phenomenon known as a von Karman street. +# The two-dimensional incompressible flow past a cylinder is a stereotypical example of such behavior. +# +# The transient energy growth and saturation amplitude of this instability mode is of particular interest and has historically posed a significant modeling challenge. +# Noack et al. (2003) used an 8-mode POD basis that was augmented with a ninth "shift mode" parameterizing a mean flow deformation. The 9-mode quadratic Galerkin model does resolve the transient dynamics, nonlinear stability mechanism, and post-transient oscillation, accurately reproducing all of the key physical features of the vortex street. Moreover, in Schlegel and Noack (2015) stability of the quadratic model was proven with $m_9 = m_\text{shift} = \epsilon$, $\epsilon > 1$, and $m_i = 0$ for $i = \{1,...,8\}$. Note that POD-Galerkin models will generally weakly satisfy the effective nonlinearity criteria, although the addition of the shift-mode is a complication. + +# %% +# define parameters and load in POD modes obtained from DNS +a = np.loadtxt("../data/vonKarman_pod/vonKarman_a.dat") +t = a[:, 0] +r = 5 +a_temp = a[:, 1:r] +a_temp = np.hstack((a_temp, a[:, -1].reshape(3000, 1))) +a = a_temp +tbegin = 0 +tend = 3000 +skip = 1 +t = t[tbegin:tend:skip] +a = a[tbegin:tend:skip, :] +dt = t[1] - t[0] + +# define the POD-Galerkin models from Noack (2003) +galerkin9 = sio.loadmat("../data/vonKarman_pod/galerkin9.mat") + +# make the Galerkin model nonlinearity exactly energy-preserving +# rather than just approximately energy-preserving +gQ = 0.5 * (galerkin9["Q"] + np.transpose(galerkin9["Q"], [0, 2, 1])) +galerkin9["Q"] = ( + gQ + - ( + gQ + + np.transpose(gQ, [1, 0, 2]) + + np.transpose(gQ, [2, 1, 0]) + + np.transpose(gQ, [0, 2, 1]) + + np.transpose(gQ, [2, 0, 1]) + + np.transpose(gQ, [1, 2, 0]) + ) + / 6.0 +) + +# time base for simulating Galerkin models +t_sim = np.arange(0, 500, dt) + +# Generate initial condition from unstable eigenvectors +lamb, Phi = np.linalg.eig(galerkin9["L"]) +idx = np.argsort(-np.real(lamb)) +lamb, Phi = lamb[idx], Phi[:, idx] +a0 = np.zeros(9) +a0[0] = 1e-3 +# np.real( 1e-3 * Phi[:, :2] @ rng.random((2)) ) + +# get the 5D POD-Galerkin coefficients +inds5 = np.ix_([0, 1, 2, 3, -1], [0, 1, 2, 3, -1]) +galerkin5 = {} +galerkin5["L"] = galerkin9["L"][inds5] +inds5 = np.ix_([0, 1, 2, 3, -1], [0, 1, 2, 3, -1], [0, 1, 2, 3, -1]) +galerkin5["Q"] = galerkin9["Q"][inds5] +model5 = lambda t, a: galerkin_model(a, galerkin5["L"], galerkin5["Q"]) # noqa: E731 + +# make the 3D, 5D, and 9D POD-Galerkin trajectories +t_span = (t[0], t[-1]) +a_galerkin5 = solve_ivp(model5, t_span, a0[:5], t_eval=t, **integrator_keywords).y.T +adot_galerkin5 = np.gradient(a_galerkin5, axis=0) / (t[1] - t[0]) + +# plot the first 4 POD modes + the shift mode +mode_numbers = [0, 1, 2, 3, -1] +plt.figure(figsize=(12, 8)) +for i in range(r): + plt.subplot(r, 1, i + 1) + if i == 0: + plt.title( + "DNS and POD-Galerkin models on first 4 POD modes + shift mode", fontsize=16 + ) + plt.plot(t, a[:, mode_numbers[i]], "r", label="POD from DNS") + plt.plot(t, a_galerkin5[:, mode_numbers[i]], "b", label="POD-5 model") + ax = plt.gca() + plt.ylabel(r"$a_{" + str(mode_numbers[i]) + "}$", fontsize=20) + plt.grid(True) + if i == r - 1: + plt.xlabel("t", fontsize=18) + plt.legend(loc="upper left", fontsize=16) + else: + ax.set_xticklabels([]) + plt.yticks(fontsize=16) + plt.xticks(fontsize=16) +a0 = np.zeros(r) +a0[0] = 1e-3 + +# %% +# same test and train trajectory for simplicity here +a = np.loadtxt("../data/vonKarman_pod/vonKarman_a.dat") +t = a[:, 0] +r = 5 +a_temp = a[:, 1:r] +a_temp = np.hstack((a_temp, a[:, -1].reshape(3000, 1))) +a = a_temp +tbegin = 0 +tend = 3000 +skip = 1 +t = t[tbegin:tend:skip] +a = a[tbegin:tend:skip, :] +dt = t[1] - t[0] +x_train = a +x_test = a + +# define hyperparameters +max_iter = 5000 +eta = 1.0e2 + +# don't need a threshold if eta is sufficiently small +# which is good news because CVXPY is much slower +threshold = 0 +alpha_m = 9e-1 * eta + + +# run trapping SINDy +sindy_opt = ps.TrappingSR3( + _n_tgts=5, + _include_bias=False, + threshold=threshold, + eta=eta, + alpha_m=alpha_m, + max_iter=max_iter, + verbose=True, +) +model = ps.SINDy( + optimizer=sindy_opt, + feature_library=sindy_library_no_bias, + differentiation_method=ps.FiniteDifference(drop_endpoints=True), +) +model.fit(x_train, t=t) +Xi = model.coefficients().T +xdot_test = model.differentiate(x_test, t=t) +xdot_test_pred = model.predict(x_test) +PL_tensor = sindy_opt.PL_ +PQ_tensor = sindy_opt.PQ_ +L = np.tensordot(PL_tensor, Xi, axes=([3, 2], [0, 1])) +Q = np.tensordot(PQ_tensor, Xi, axes=([4, 3], [0, 1])) +Q_sum = np.max(np.abs((Q + np.transpose(Q, [1, 2, 0]) + np.transpose(Q, [2, 0, 1])))) +print("Max deviation from the constraints = ", Q_sum) +if check_stability(r, Xi, sindy_opt, 1): + x_train_pred = model.simulate(x_train[0, :], t, integrator_kws=integrator_keywords) + x_test_pred = model.simulate(a0, t, integrator_kws=integrator_keywords) + make_progress_plots(r, sindy_opt) + + # plotting and analysis + make_fits(r, t, xdot_test, xdot_test_pred, x_test, x_test_pred, "vonKarman") + make_lissajou(r, x_train, x_test, x_train_pred, x_test_pred, "VonKarman") + mean_val = np.mean(x_test_pred, axis=0) + mean_val = np.sqrt(np.sum(mean_val**2)) + check_stability(r, Xi, sindy_opt, mean_val) + A_guess = sindy_opt.A_history_[-1] + m_guess = sindy_opt.m_history_[-1] + E_pred = np.linalg.norm(x_test - x_test_pred) / np.linalg.norm(x_test) + print("Frobenius Error = ", E_pred) +make_progress_plots(r, sindy_opt) + +# Compute time-averaged dX/dt error +deriv_error = np.zeros(xdot_test.shape[0]) +for i in range(xdot_test.shape[0]): + deriv_error[i] = np.dot( + xdot_test[i, :] - xdot_test_pred[i, :], xdot_test[i, :] - xdot_test_pred[i, :] + ) / np.dot(xdot_test[i, :], xdot_test[i, :]) +print("Time-averaged derivative error = ", np.nanmean(deriv_error)) + +# %% [markdown] +# # Energy plot illustrating the transient and long-time energy conservation + +# %% +# define energies of the DNS, and both the 5D and 9D models +# for POD-Galerkin and the trapping SINDy models +E = np.sum(a**2, axis=1) +E_galerkin5 = np.sum(a_galerkin5**2, axis=1) +E_sindy5 = np.sum(x_test_pred**2, axis=1) + +# plot the energies +plt.figure(figsize=(16, 4)) +plt.plot(t, E, "r", label="DNS") +plt.plot(t, E_galerkin5, "m", label="POD-5") +plt.plot(t, E_sindy5, "k", label=r"SINDy-5") + +# do some formatting and save +plt.legend(fontsize=22, loc=2) +plt.grid() +plt.xlim([0, 300]) +ax = plt.gca() +ax.set_yticks([0, 10, 20]) +ax.tick_params(axis="x", labelsize=20) +ax.tick_params(axis="y", labelsize=20) +plt.ylabel("Total energy", fontsize=20) +plt.xlabel("t", fontsize=20) +plt.show() + +# %% [markdown] +# ### Key result: the 5D SINDy model is globally stable and improves the prediction of the transient timing compared with the POD-Galerkin model. diff --git a/examples/8_trapping_sindy_examples/trapping_utils.py b/examples/8_trapping_sindy_examples/trapping_utils.py index 520881e3e..777cef44e 100644 --- a/examples/8_trapping_sindy_examples/trapping_utils.py +++ b/examples/8_trapping_sindy_examples/trapping_utils.py @@ -16,16 +16,8 @@ # Initialize quadratic SINDy library, with custom ordering # to be consistent with the constraint -library_functions = [lambda x: x, lambda x, y: x * y, lambda x: x**2] -library_function_names = [lambda x: x, lambda x, y: x + y, lambda x: x + x] -sindy_library = ps.CustomLibrary( - library_functions=library_functions, - function_names=library_function_names, - include_bias=True, -) -sindy_library_no_bias = ps.CustomLibrary( - library_functions=library_functions, function_names=library_function_names -) +sindy_library = ps.PolynomialLibrary(include_bias=True) +sindy_library_no_bias = ps.PolynomialLibrary(include_bias=False) # Initialize integrator keywords for solve_ivp to replicate the odeint defaults integrator_keywords = {} @@ -52,59 +44,6 @@ def obj_function(m, L_obj, Q_obj, P_obj): return eigvals[-1] -# Define some setup and plotting functions -# Build the skew-symmetric nonlinearity constraints -def make_constraints(r, include_bias=True): - q = 0 - N = int((r**2 + 3 * r) / 2.0) - if include_bias is True: - N = N + 1 # + 1 for constant term - p = r + r * (r - 1) + int(r * (r - 1) * (r - 2) / 6.0) - constraint_zeros = np.zeros(p) - constraint_matrix = np.zeros((p, r * N)) - - # Set coefficients adorning terms like a_i^3 to zero - # [1, x, y, z, xy, xz, yz, x2, y2, z2, 1, ...] - # [1 1 1 x x x y y y ...] - for i in range(r): - # constraint_matrix[q, r * (N - r) + i * (r + 1)] = 1.0 - constraint_matrix[q, r * (N - r) + i * (r + 1)] = 3.0 - q = q + 1 - - # Set coefficients adorning terms like a_ia_j^2 to be antisymmetric - for i in range(r): - for j in range(i + 1, r): - constraint_matrix[q, r * (N - r + j) + i] = 1.0 - constraint_matrix[ - q, r + r * (r + j - 1) + j + r * int(i * (2 * r - i - 3) / 2.0) - ] = 1.0 - q = q + 1 - for i in range(r): - for j in range(0, i): - constraint_matrix[q, r * (N - r + j) + i] = 1.0 - constraint_matrix[ - q, r + r * (r + i - 1) + j + r * int(j * (2 * r - j - 3) / 2.0) - ] = 1.0 - q = q + 1 - - # Set coefficients adorning terms like a_ia_ja_k to be antisymmetric - for i in range(r): - for j in range(i + 1, r): - for k in range(j + 1, r): - constraint_matrix[ - q, r + r * (r + k - 1) + i + r * int(j * (2 * r - j - 3) / 2.0) - ] = (1 / 2.0) - constraint_matrix[ - q, r + r * (r + k - 1) + j + r * int(i * (2 * r - i - 3) / 2.0) - ] = (1 / 2.0) - constraint_matrix[ - q, r + r * (r + j - 1) + k + r * int(i * (2 * r - i - 3) / 2.0) - ] = (1 / 2.0) - q = q + 1 - - return constraint_zeros, constraint_matrix - - # Use optimal m, and calculate eigenvalues(PW) to see if identified model is stable def check_stability(r, Xi, sindy_opt, mean_val, mod_matrix=None): if mod_matrix is None: @@ -123,6 +62,8 @@ def check_stability(r, Xi, sindy_opt, mean_val, mod_matrix=None): print("optimal m: ", opt_m) print("As eigvals: ", np.sort(eigvals)) max_eigval = np.sort(eigvals)[-1] + if max_eigval > 0: + return False C = np.tensordot(PC_tensor, Xi, axes=([2, 1], [0, 1])) L = np.tensordot(PL_tensor_unsym, Xi, axes=([3, 2], [0, 1])) Q = np.tensordot(PQ_tensor, Xi, axes=([4, 3], [0, 1])) @@ -133,6 +74,7 @@ def check_stability(r, Xi, sindy_opt, mean_val, mod_matrix=None): print("Estimate of trapping region size, Rm = ", Rm) if not np.isclose(mean_val, 1.0): print("Normalized trapping region size, Reff = ", Reff) + return True def get_trapping_radius(max_eigval, eps_Q, r, d): @@ -234,29 +176,37 @@ def make_trap_progress_plots(r, sindy_opt, mod_matrix=None): ) rhos_plus.append(DA) rhos_minus.append(Rm) - x = np.arange(len(rhos_minus[1:])) - plt.plot(x, rhos_minus[1:], "k--", label=r"$\rho_-$", linewidth=3) - plt.plot(x, rhos_plus[1:], label=r"$\rho_+$", linewidth=3, color="k") - ax = plt.gca() - ax.fill_between(x, rhos_minus[1:], rhos_plus[1:], color="c", label=r"$\dot{K} < 0$") - ax.fill_between( - x, - rhos_plus[1:], - np.ones(len(x)) * rhos_plus[-1] * 5, - color="r", - label="Possibly unstable", - ) - ax.fill_between( - x, np.zeros(len(x)), rhos_minus[1:], color="g", label=r"Trapping region" - ) - plt.grid(True) - plt.ylabel("Stability radius") - plt.xlabel("Algorithm iteration") - plt.legend(framealpha=1.0) - plt.xlim(1, x[-1]) - plt.ylim(1, rhos_plus[-1] * 5) - plt.xscale("log") - plt.yscale("log") + try: + x = np.arange(len(rhos_minus[1:])) + plt.figure() + plt.plot(x, rhos_minus[1:], "k--", label=r"$\rho_-$", linewidth=3) + plt.plot(x, rhos_plus[1:], label=r"$\rho_+$", linewidth=3, color="k") + ax = plt.gca() + ax.fill_between( + x, rhos_minus[1:], rhos_plus[1:], color="c", label=r"$\dot{K} < 0$" + ) + ax.fill_between( + x, + rhos_plus[1:], + np.ones(len(x)) * rhos_plus[-1] * 5, + color="r", + label="Possibly unstable", + ) + ax.fill_between( + x, np.zeros(len(x)), rhos_minus[1:], color="g", label=r"Trapping region" + ) + plt.grid(True) + plt.ylabel("Stability radius") + plt.xlabel("Algorithm iteration") + plt.legend(framealpha=1.0) + plt.xlim(1, x[-1]) + plt.ylim(1, rhos_plus[-1] * 5) + plt.xscale("log") + plt.yscale("log") + except IndexError: + print( + "The A^S matrix is not fully Hurwitz so will not plot the stability radii" + ) return rhos_minus, rhos_plus @@ -273,7 +223,6 @@ def make_3d_plots(x_test, x_test_pred, filename): ax.set_zticklabels([]) ax.set_axis_off() plt.legend(fontsize=14) - plt.show() # Plot the SINDy fits of X and Xdot against the ground truth @@ -300,8 +249,6 @@ def make_fits(r, t, xdot_test, xdot_test_pred, x_test, x_test_pred, filename): if i == r - 1: plt.xlabel("t", fontsize=18) - plt.show() - # Plot errors between m_{k+1} and m_k and similarly for the model coefficients def make_progress_plots(r, sindy_opt): @@ -658,7 +605,6 @@ def trapping_region(r, x_test_pred, Xi, sindy_opt, filename): ax.set_yticklabels([]) ax.set_zticklabels([]) ax.set_axis_off() - plt.show() # Make Lissajou figures with ground truth and SINDy model @@ -688,4 +634,3 @@ def make_lissajou(r, x_train, x_test, x_train_pred, x_test_pred, filename): plt.ylabel(r"$x_" + str(i) + r"$", fontsize=18) if i == r - 1: plt.xlabel(r"$x_" + str(j) + r"$", fontsize=18) - plt.show() diff --git a/examples/8_trapping_sindy_examples/von_karman_trapping_extended.py b/examples/8_trapping_sindy_examples/von_karman_trapping_extended.py new file mode 100644 index 000000000..cbf2dc71b --- /dev/null +++ b/examples/8_trapping_sindy_examples/von_karman_trapping_extended.py @@ -0,0 +1,777 @@ +# %% [markdown] +# # Variations of the Trapping theorem -- different Lyapunov functions +# This example will be used to demonstrate that both the energy and enstrophy can be used as Lyapunov functions for promoting local and global stability with the trapping theorems used for quadratically nonlinear systems of ODEs. +# +# We will demonstrate this using a canonical 2D fluid flow (2D so that the enstrophy is conserved). +# In many cases, the wake behind a bluff body is characterized by a periodic vortex shedding phenomenon known as a von Karman street. +# The two-dimensional incompressible flow past a cylinder is a stereotypical example of such behavior. +# The transient energy growth and saturation amplitude of this instability mode is of particular interest and has historically posed a significant modeling challenge. +# Noack et al. (2003) used an 8-mode POD basis that was augmented with a ninth "shift mode" parameterizing a mean flow deformation. The 9-mode quadratic Galerkin model does resolve the transient dynamics, nonlinear stability mechanism, and post-transient oscillation, accurately reproducing all of the key physical features of the vortex street. In general, the totally symmetric structure in the quadratic coefficients $Q_{ijk}$ is weakly *broken* in models for the von Karman street, but it can be enforced to hold exactly. +# +# This is precisely what is done in Schlegel and Noack (2015), and in this perfectly-skew-symmetric case, the global stability of the quadratic model was proven with $m_9 = m_\text{shift} = \epsilon$, $\epsilon > 1$, and $m_i = 0$ for $i = \{1,...,8\}$. Indeed, we do similarly for data-driven models obtained with the SINDy method in the trapping_sindy_paper_examples.ipynb Jupyter notebook corresponding to the Trapping SINDy paper (https://journals.aps.org/prfluids/abstract/10.1103/PhysRevFluids.6.094401). +# +# ### This notebook will show that both the energy and enstrophy can be used with the trapping theorem to promote global stability. +# %% +import warnings + +import matplotlib.gridspec as gridspec +import numpy as np +import scipy.io as sio +from matplotlib import pyplot as plt +from scipy.integrate import solve_ivp + +import pysindy as ps + +# ignore warnings +warnings.filterwarnings("ignore") + +import pymech.neksuite as nek +from trapping_utils import ( + galerkin_model, + integrator_keywords, + nel, + nGLL, + interp, + get_velocity, + get_vorticity, + obj_function, + sindy_library_no_bias, + check_stability, + check_local_stability, + make_trap_progress_plots, + make_bar, + nx, + ny, + plot_field, + make_progress_plots, +) + +# %% [markdown] +# #### We have pre-loaded some useful functions, and now we can load in the von Karman DNS data. For simplicity (and speed of the code), we will limit ourselves to 5D models, using the first 4 POD modes + the shift mode. + +# %% +# define parameters and load in POD modes obtained from DNS +a = np.loadtxt("../data/vonKarman_pod/vonKarman_a.dat") +t = a[:, 0] +r = 5 +a_temp = a[:, 1:r] +a_temp = np.hstack((a_temp, a[:, -1].reshape(3000, 1))) +a = a_temp + +# optionally reduce the resolution slightly for more algorithm speed later +tbegin = 0 +tend = 3000 +skip = 1 +t = t[tbegin:tend:skip] +a = a[tbegin:tend:skip, :] +dt = t[1] - t[0] + +# define the POD-Galerkin models from Noack (2003) +galerkin9 = sio.loadmat("../data/vonKarman_pod/galerkin9.mat") + +# Build two Galerkin models, one in which the nonlinearity is as +# calculated, and the other enforced to be exactly skew-symmetric. +gQ = 0.5 * (galerkin9["Q"] + np.transpose(galerkin9["Q"], [0, 2, 1])) +galerkin9["Q_ep"] = ( + gQ + - ( + gQ + + np.transpose(gQ, [1, 0, 2]) + + np.transpose(gQ, [2, 1, 0]) + + np.transpose(gQ, [0, 2, 1]) + + np.transpose(gQ, [2, 0, 1]) + + np.transpose(gQ, [1, 2, 0]) + ) + / 6.0 +) +model9 = lambda t, a: galerkin_model(a, galerkin9["L"], galerkin9["Q"]) # noqa: E731 +model9_ep = lambda t, a: galerkin_model( # noqa: E731 + a, galerkin9["L"], galerkin9["Q_ep"] +) + +# Generate initial condition from unstable eigenvectors +# lamb, Phi = np.linalg.eig(galerkin9['L']) +# idx = np.argsort(-np.real(lamb)) +# lamb, Phi = lamb[idx], Phi[:, idx] +a0 = np.zeros(5) +a0[0] = 1e-3 + +# get the 5D POD-Galerkin coefficients +inds5 = np.ix_([0, 1, 2, 3, -1], [0, 1, 2, 3, -1]) +galerkin5 = {} +galerkin5["L"] = galerkin9["L"][inds5] +inds5 = np.ix_([0, 1, 2, 3, -1], [0, 1, 2, 3, -1], [0, 1, 2, 3, -1]) +galerkin5["Q"] = galerkin9["Q"][inds5] +galerkin5["Q_ep"] = galerkin9["Q_ep"][inds5] +model5 = lambda t, a: galerkin_model(a, galerkin5["L"], galerkin5["Q"]) # noqa: E731 + +# make the 5D POD-Galerkin model trajectories +t_span = (t[0], t[-1]) +a_galerkin5 = solve_ivp(model5, t_span, a0, t_eval=t, **integrator_keywords).y.T +adot_galerkin5 = np.gradient(a_galerkin5, axis=0) / (t[1] - t[0]) + +# plot the first 4 POD modes + the shift mode +mode_numbers = range(10) +plt.figure(figsize=(16, 16)) +for i in range(r): + plt.subplot(r, 1, i + 1) + if i == 0: + plt.title( + "DNS and POD-Galerkin models on first 4 POD modes + shift mode", fontsize=16 + ) + plt.plot(t, a[:, mode_numbers[i]], "r", label="POD from DNS") + plt.plot(t, a_galerkin5[:, mode_numbers[i]], "b", linewidth=2, label="POD-5 model") + ax = plt.gca() + plt.ylabel(r"$a_{" + str(mode_numbers[i]) + "}$", fontsize=20) + plt.grid(True) + if i == r - 1: + plt.xlabel("t", fontsize=18) + plt.legend(loc="upper left", fontsize=16) + else: + ax.set_xticklabels([]) + plt.yticks(fontsize=16) + plt.xticks(fontsize=16) + +# %% [markdown] +# ### Compute the velocity, vorticity, and enstrophy +# The first thing we will do is promote globally stable models via the trapping SINDy algorithm, as in the trapping_sindy_paper_examples.ipynb notebook. We can actually do this by calculating a stability matrix $\mathbf{A}^S$ with *either* the energy or the enstrophy (or any other positive definite, quadratic quantity that plays an important role in the dynamics). So we begin by constructing globally stable trapping models of the von Karman street in these two ways. +# +# First, we load in the data and compute the energy and enstrophy. + +# %% +# path to POD mode files +field_path = "../data/vonKarman_pod/cyl0.snapshot" +mode_path = "../data/vonKarman_pod/pod_modes/" + +# Read limit cycle flow field for grid points +field = nek.readnek(field_path) +n = nel * nGLL**2 + +# define cell values needed for the vorticity interpolation +Cx = np.array( + [ + field.elem[i].pos[0, 0, j, k] + for i in range(nel) + for j in range(nGLL) + for k in range(nGLL) + ] +) +Cy = np.array( + [ + field.elem[i].pos[1, 0, j, k] + for i in range(nel) + for j in range(nGLL) + for k in range(nGLL) + ] +) + +filename = lambda t_idx: "cyl0.f{0:05d}".format(t_idx) # noqa: E731 + +# plot mean + leading POD modes +clim = [-1, 1] +file_order = [1, 2, 3, 4, 5, 10] +file_labels = ["Mean field", "Mode 1", "Mode 2", "Mode 3", "Mode 4", "Shift mode"] + +# Plot the vorticity fields as we load them in +fig = plt.figure(figsize=(10, 8)) +spec = gridspec.GridSpec(ncols=2, nrows=3, figure=fig, hspace=0.0, wspace=0.0) +u_list = [] +v_list = [] +vorticities = [] +vorticities_flat = [] +for i in range(len(file_order)): + plt.subplot(spec[i]) + u, v = get_velocity(mode_path + filename(file_order[i])) + u_list.append(u) + v_list.append(v) + vort = interp(get_vorticity(mode_path + filename(file_order[i])), Cx, Cy) + vorticities.append(np.reshape(vort, [nx, ny], order="F").T) + vorticities_flat.append(get_vorticity(mode_path + filename(file_order[i]))) + + plot_field(np.reshape(vort, [nx, ny], order="F").T, clim=clim, label=file_labels[i]) + plt.xlim([-1, 9]) + plt.ylim([-2, 2]) + ax = plt.gca() + ax.set_xticklabels([]) + ax.set_xticks([]) + ax.set_yticks([]) + plt.title(file_labels[i], fontsize=16) + +plt.show() + +# %% [markdown] +# We have loaded in the vorticity fields of each POD mode, now need to calculate the energy and the enstrophy. + +# %% +mass_matrix = np.loadtxt("../data/vonKarman_pod/pod_modes/mass_matrix.dat") +ip1 = lambda a, b: np.dot(mass_matrix * a, b) # noqa: E731 +ip2 = lambda a, b, c, d: np.dot(a * mass_matrix, c) + np.dot( # noqa: E731 + b * mass_matrix, d +) +energy_integrals = np.zeros((6, 6)) +enstrophy_integrals = np.zeros((6, 6)) +for i, wi in enumerate(vorticities_flat): + for j, wj in enumerate(vorticities_flat): + if i == 0: + enstrophy_integrals[i, j] = ip2(u_list[i], v_list[i], wj, wj) + else: + enstrophy_integrals[i, j] = ip1(wi, wj) + energy_integrals[i, j] = ip2(u_list[i], v_list[i], u_list[j], v_list[j]) + +# %% [markdown] +# Do some checks to make sure energy eigenvalues and enstrophy eigenvalues make sense (energy eigenvalues should be identitity because we are using the eigenbasis of energy, and enstrophy eigenvalues should be positive since enstrophy is by construction a positive definite quantity). + +# %% +# Compute the energy eigenvalues +P_energy = energy_integrals[1:, 1:] +eigs_energy, eigvecs_energy = np.linalg.eigh(P_energy) +print(eigs_energy) + +# Compute the enstrophy eigenvalues +P_enstrophy = enstrophy_integrals[1:, 1:] +eigs_enstrophy, eigvecs_enstrophy = np.linalg.eigh(P_enstrophy) +print(eigs_enstrophy) + +# Define the linear part of the model, +# rotated into the eigenbasis of enstrophy +L_enstrophy = np.dot(P_enstrophy, galerkin5["L"]) + +# %% [markdown] +# ### Check global stability of the POD-Galerkin models +# Okay, so we have loaded in some DNS data from the von Karman Street and generated (analytic) 5D POD-Galerkin models for this system. The skew-symmetric models below are globally stable *if and only if* there exists a vector $\mathbf{m}$ such that following matrix is negative definite: +# $$A^S_{ij} = L^S_{ij} + (Q_{ijk} + Q_{jik})m_k.$$ +# Note that if the quadratic term $Q_{ijk}$ has no totally-symmetric part this is equal to +# $$A^S_{ij} = L^S_{ij} - Q_{kij}m_k.$$ +# A negative definite $\mathbf{A}^S$ turns out to also be necessary when $Q_{ijk}$ does have nontrivial totally symmetric component, but in this case is not sufficient for global boundedness and we can promote local stability as in the trapping_extended.ipynb notebook. +# +# Next we check with a simple nonlinear algorithm (simulated annealing) that our analytic models can be shown to be globally stable (there is an $\mathbf{m}$ such that $\mathbf{A}^S$ is negative definite) using both the energy or the enstrophy to construct $\mathbf{A}^S$. + +# %% +# Import simulated annealing algorithm from scipy +from scipy.optimize import dual_annealing as anneal_algo + +# Search between -5000, 5000 for each component of m +boundvals = np.zeros((r, 2)) +boundmax = 5000 +boundmin = -5000 +boundvals[:, 0] = boundmin +boundvals[:, 1] = boundmax + +Ls_enstrophy = 0.5 * (L_enstrophy + L_enstrophy.T) +# Run simulated annealing for the enstrophy eigenbasis +algo_sol = anneal_algo( + obj_function, + bounds=boundvals, + args=(Ls_enstrophy, galerkin5["Q_ep"], P_enstrophy), + maxiter=200, +) +opt_m = algo_sol.x +opt_energy = algo_sol.fun +opt_result = algo_sol.message +print("Enstrophy model result:") +print("Optimal m = ", opt_m) +print( + "Algorithm managed to reduce the largest eigenvalue of A^S to eig1 = ", + opt_energy, + "\n", +) + +# Repeat using the energy +Ls = 0.5 * (galerkin5["L"] + galerkin5["L"].T) +algo_sol = anneal_algo( + obj_function, bounds=boundvals, args=(Ls, galerkin5["Q_ep"], P_energy), maxiter=1000 +) +opt_m = algo_sol.x +opt_energy = algo_sol.fun +opt_result = algo_sol.message +print("Energy model result:") +print("Optimal m = ", opt_m) +print( + "Algorithm managed to reduce the largest eigenvalue of A^S to eig1 = ", + opt_energy, + "\n", +) + +# %% [markdown] +# #### We have proven that both the models, with totally symmetric quadratic tensors, are globally stable. +# We now fix the coefficients of $\mathbf{m}$ except for the direction of the shift-mode, and scan this value to see how the largest eigenvalue of $\mathbf{A}^S$ (and corresponding trapping region radius) varies. + +# %% +N = 5000 +alphas = np.linspace(0, 10000, N) +m = np.zeros(r) +m[:-1] = [1.05133223e-01, 3.65030827e-02, 5.29009012e01, 3.14215584e01] +m_enstrophy = np.zeros(r) +m_enstrophy[:-1] = [3.87083390e-01, 5.23018605e-01, 2.13126168e01, 8.95957413e01] + +obj_energy = np.zeros(N) +obj_enstrophy = np.zeros(N) +Rm_energy = np.zeros(N) +Rm_enstrophy = np.zeros(N) + +# Extract maximum and minimum eigenvalues, +# and compute radius of the trapping region +max_eig_energy = np.sort(eigs_energy)[-1] +max_eig_enstrophy = np.sort(eigs_enstrophy)[-1] + +for i, alpha in enumerate(alphas): + m[-1] = alpha + m_enstrophy[-1] = alpha + obj_energy[i] = obj_function(m, Ls, galerkin5["Q_ep"], P_energy) + obj_enstrophy[i] = obj_function( + m_enstrophy, Ls_enstrophy, galerkin5["Q_ep"], P_enstrophy + ) + d_energy = np.dot(galerkin5["L"], m) + np.dot( + np.tensordot(galerkin5["Q_ep"], m, axes=([2], [0])), m + ) + d_enstrophy = np.dot(L_enstrophy, m_enstrophy) + np.dot( + np.tensordot(galerkin5["Q_ep"], m_enstrophy, axes=([2], [0])), m_enstrophy + ) + Rm_energy[i] = np.linalg.norm(d_energy) / np.abs(obj_energy[i]) + Rm_enstrophy[i] = np.linalg.norm(d_enstrophy) / np.abs(obj_enstrophy[i]) + +plt.figure(figsize=(6, 5)) +plt.plot(alphas, obj_energy * 1e2, label=r"$\lambda_1^{energy}$ x $10^2$") +plt.plot( + alphas[obj_energy < 0], + Rm_energy[obj_energy < 0] / 1.0e4, + label="$R_m^{energy}$ x $10^{-4}$", +) +plt.plot(alphas, obj_enstrophy, label=r"$\lambda_1^{enstrophy}$") +plt.plot( + alphas[obj_enstrophy < 0], + Rm_enstrophy[obj_enstrophy < 0] / 1.0e4, + label="$R_m^{enstrophy}$ x $10^{-4}$", +) +plt.legend(fontsize=12, loc="upper right", framealpha=1.0) +plt.ylim(-5, 50) +plt.xlim(0, 10000) +plt.grid(True) +plt.xlabel(r"$m_{shift}$", fontsize=18) +plt.xticks(fontsize=12) +plt.yticks(fontsize=12) +plt.show() + +# %% +galerkin_ep = ( + gQ + + np.transpose(gQ, [1, 0, 2]) + + np.transpose(gQ, [2, 1, 0]) + + np.transpose(gQ, [0, 2, 1]) + + np.transpose(gQ, [2, 0, 1]) + + np.transpose(gQ, [1, 2, 0]) +) / 6.0 +print(np.max(abs(galerkin_ep))) +gQ_enstrophy = enstrophy_integrals[1:, 1:] @ gQ[inds5] +galerkin_ep = ( + gQ_enstrophy + + np.transpose(gQ_enstrophy, [1, 0, 2]) + + np.transpose(gQ_enstrophy, [2, 1, 0]) + + np.transpose(gQ_enstrophy, [0, 2, 1]) + + np.transpose(gQ_enstrophy, [2, 0, 1]) + + np.transpose(gQ_enstrophy, [1, 2, 0]) +) / 6.0 +print(np.max(abs(galerkin_ep))) + +# %% [markdown] +# ### Data-driven 5D models for the von Karman street using Trapping SINDy +# We have investigated a number of 5D (analytic) POD-Galerkin models and shown that the analytic, constrained models are globally stable. Now we show that trapping SINDy can be used with the energy or enstrophy to build data-driven models that are also globally stable. + +# %% +max_iter = 5000 +eta = 1.0e2 +threshold = 0 +alpha_m = 9e-1 * eta + +# run trapping SINDy +sindy_opt = ps.TrappingSR3( + method="global", + _n_tgts=5, + _include_bias=False, + threshold=threshold, + eta=eta, + alpha_m=alpha_m, + max_iter=max_iter, + verbose=True, +) +model = ps.SINDy( + optimizer=sindy_opt, + feature_library=sindy_library_no_bias, +) +model.fit(a, t=t) +Xi = model.coefficients().T +PL_tensor = sindy_opt.PL_ +PQ_tensor = sindy_opt.PQ_ +Lenergy = np.tensordot(PL_tensor, Xi, axes=([3, 2], [0, 1])) +Qenergy = np.tensordot(PQ_tensor, Xi, axes=([4, 3], [0, 1])) +mean_val = np.mean(a, axis=0) +mean_val = np.sqrt(np.sum(mean_val**2)) +check_stability(r, Xi, sindy_opt, mean_val) +energy_model = model +Q = np.tensordot(sindy_opt.PQ_, Xi, axes=([4, 3], [0, 1])) +Q_sum = np.max(np.abs((Q + np.transpose(Q, [1, 2, 0]) + np.transpose(Q, [2, 0, 1])))) +print("Maximum deviation from the constraints = ", Q_sum) + +# %% [markdown] +# The previous model finds an $\mathbf{m}$ such that $\mathbf{A}^S$ is negative definite, while also fitting the data. Now we can repeat but in the eigenbasis of enstrophy. If the enstrophy is $H = \mathbf{y}^T\mathcal{P}\mathbf{A}^S \mathbf{y}$, now we are searching for an $\mathbf{m}$ such that $\mathcal{P}\mathbf{A}^S$ is negative definite. + +# %% +max_iter = 5000 +eta = 1.0e4 +threshold = 0 +alpha_m = 1e-1 * eta + +mod_matrix = enstrophy_integrals[1:, 1:] +sindy_opt = ps.TrappingSR3( + method="global", + _n_tgts=5, + _include_bias=False, + threshold=threshold, + eta=eta, + alpha_m=alpha_m, + max_iter=max_iter, + mod_matrix=mod_matrix, + verbose=True, +) +model = ps.SINDy( + optimizer=sindy_opt, + feature_library=sindy_library_no_bias, +) +model.fit(a, t=t) +Xi = model.coefficients().T +Lenstrophy = np.tensordot(PL_tensor, Xi, axes=([3, 2], [0, 1])) +Qenstrophy = np.tensordot(PQ_tensor, Xi, axes=([4, 3], [0, 1])) +mean_val = np.mean(a, axis=0) +mean_val = np.sqrt(np.sum(mean_val**2)) +check_stability(r, Xi, sindy_opt, mean_val, mod_matrix) +enstrophy_model = model +Q = np.tensordot(sindy_opt.PQ_, Xi, axes=([4, 3], [0, 1])) +Q_sum = np.max(np.abs((Q + np.transpose(Q, [1, 2, 0]) + np.transpose(Q, [2, 0, 1])))) +print("Maximum deviation from the constraints = ", Q_sum) + +# %% [markdown] +# Enstrophy model was successful! +# #### We have built two data-driven models, one using the energy as a Lyapunov function for trapping SINDy, and the other using the enstrophy. Now we compare the distribution of coefficients in each model. + +# %% +make_bar(galerkin5, Lenergy, Qenergy, Lenstrophy, Qenstrophy) + +# %% [markdown] +# ### Compare the models +# Below, we compare the 5D POD-Galerkin with trapping SINDy models obtained by considering the energy or by the enstrophy. Both trapping models outperform the POD-Galerkin model. + +# %% +# Interpolate onto better time base +t_traj = np.linspace(t[0], t[-1], len(t) * 1) + +# simulate trapping SINDy results +xtraj_energy = energy_model.simulate(a0, t_traj) +xtraj_enstrophy = enstrophy_model.simulate(a0, t_traj) + +# simulate and plot 5D von Karman trajectory results +t_span = (t_traj[0], t_traj[-1]) +xtraj_pod9 = solve_ivp(model5, t_span, a0, t_eval=t_traj, **integrator_keywords).y.T + +# Make awesome plot +fig, ax = plt.subplots(3, 3, subplot_kw={"projection": "3d"}, figsize=(16, 16)) +data = [ + a[:, [0, 1, -1]], + xtraj_energy[:, [0, 1, -1]], + a[:, [0, 1, -1]], + xtraj_pod9[:, [0, 1, -1]], + a[:, [0, 1, -1]], + xtraj_enstrophy[:, [0, 1, -1]], + a[:, [0, 1, 2]], + xtraj_energy[:, [0, 1, 2]], + a[:, [0, 1, 2]], + xtraj_pod9[:, [0, 1, 2]], + a[:, [0, 1, 2]], + xtraj_enstrophy[:, [0, 1, 2]], + a[:, [2, 3, -1]], + xtraj_energy[:, [2, 3, -1]], + a[:, [2, 3, -1]], + xtraj_pod9[:, [2, 3, -1]], + a[:, [2, 3, -1]], + xtraj_enstrophy[:, [2, 3, -1]], +] +data_labels = [ + [r"$a_1$", r"$a_2$", r"$a_{shift}$"], + [r"$a_1$", r"$a_2$", r"$a_3$"], + [r"$a_2$", r"$a_3$", r"$a_{shift}$"], +] +for i in range(3): + ax[i, 0].plot( + data[6 * i][:, 0], + data[6 * i][:, 1], + data[6 * i][:, 2], + color="r", + label="POD trajectory from DNS", + ) + ax[i, 0].plot( + data[6 * i + 1][:, 0], + data[6 * i + 1][:, 1], + data[6 * i + 1][:, 2], + color="k", + label="Trapping SINDy model (energy)", + ) + ax[i, 1].plot( + data[6 * i + 2][:, 0], + data[6 * i + 2][:, 1], + data[6 * i + 2][:, 2], + color="r", + label="POD trajectory from DNS", + ) + ax[i, 1].plot( + data[6 * i + 3][:, 0], + data[6 * i + 3][:, 1], + data[6 * i + 3][:, 2], + color="b", + label="(analytic) POD-Galerkin model", + ) + ax[i, 2].plot( + data[6 * i + 4][:, 0], + data[6 * i + 4][:, 1], + data[6 * i + 4][:, 2], + color="r", + label="POD trajectory from DNS", + ) + ax[i, 2].plot( + data[6 * i + 5][:, 0], + data[6 * i + 5][:, 1], + data[6 * i + 5][:, 2], + color="g", + label="Trapping SINDy model (enstrophy)", + ) + ax[i, 0].legend(fontsize=10) + ax[i, 0].set_xticklabels([]) + ax[i, 0].set_yticklabels([]) + ax[i, 0].set_zticklabels([]) + ax[i, 0].set_xlabel(data_labels[i][0], fontsize=14) + ax[i, 0].set_ylabel(data_labels[i][1], fontsize=14) + ax[i, 0].set_zlabel(data_labels[i][2], fontsize=14) + ax[i, 1].legend(fontsize=10) + ax[i, 1].set_xticklabels([]) + ax[i, 1].set_yticklabels([]) + ax[i, 1].set_zticklabels([]) + ax[i, 1].set_xlabel(data_labels[i][0], fontsize=14) + ax[i, 1].set_ylabel(data_labels[i][1], fontsize=14) + ax[i, 1].set_zlabel(data_labels[i][2], fontsize=14) + ax[i, 2].legend(fontsize=10) + ax[i, 2].set_xticklabels([]) + ax[i, 2].set_yticklabels([]) + ax[i, 2].set_zticklabels([]) + ax[i, 2].set_xlabel(data_labels[i][0], fontsize=14) + ax[i, 2].set_ylabel(data_labels[i][1], fontsize=14) + ax[i, 2].set_zlabel(data_labels[i][2], fontsize=14) +plt.show() + +# %% [markdown] +# ### Rerun with enstrophy using local trapping method + +# %% +max_iter = 5000 +eta = 1.0e4 +threshold = 0 +alpha_m = 1e-2 * eta +# alpha = 1e10 +beta = 1e-12 + + +mod_matrix = enstrophy_integrals[1:, 1:] +sindy_opt = ps.TrappingSR3( + method="local", + _n_tgts=5, + _include_bias=False, + threshold=threshold, + eta=eta, + gamma=-1, + alpha_m=alpha_m, + # alpha=alpha, + beta=beta, + max_iter=max_iter, + verbose=True, + mod_matrix=mod_matrix, +) +model = ps.SINDy( + optimizer=sindy_opt, + feature_library=sindy_library_no_bias, +) +model.fit(a, t=t) +Xi = model.coefficients().T +Lenstrophy = np.tensordot(PL_tensor, Xi, axes=([3, 2], [0, 1])) +Qenstrophy = np.tensordot(PQ_tensor, Xi, axes=([4, 3], [0, 1])) +mean_val = np.mean(a, axis=0) +mean_val = np.sqrt(np.sum(mean_val**2)) +check_stability(r, Xi, sindy_opt, mean_val, mod_matrix) + +check_local_stability(r, Xi, sindy_opt, mean_val, mod_matrix) +enstrophy_model = model +Q = np.tensordot(sindy_opt.PQ_, Xi, axes=([4, 3], [0, 1])) +Q = np.tensordot(mod_matrix, Q, axes=([1], [0])) +Q_sum = np.max(np.abs((Q + np.transpose(Q, [1, 2, 0]) + np.transpose(Q, [2, 0, 1])))) +print("Maximum deviation from the constraints = ", Q_sum) +rhos_minus, rhos_plus = make_trap_progress_plots(r, sindy_opt, mod_matrix) + +# %% +make_progress_plots(r, sindy_opt) + +# %% +# Interpolate onto better time base +fs = 18 +t_traj = np.linspace(t[0], t[-1], len(t) * 2) +fig, ax = plt.subplots(3, 3, subplot_kw={"projection": "3d"}, figsize=(16, 16)) +a0s = [(np.random.rand(5) - 0.5) * 20 for i in range(2)] +for a0 in a0s: + print(a0) + + # simulate trapping SINDy results + xtraj_energy = energy_model.simulate(a0, t_traj) + xtraj_enstrophy = enstrophy_model.simulate(a0, t_traj) + + # simulate and plot 5D von Karman trajectory results + t_span = (t_traj[0], t_traj[-1]) + xtraj_pod9 = solve_ivp(model5, t_span, a0, t_eval=t_traj, **integrator_keywords).y.T + + # Make awesome plot + data = [ + a[:, [0, 1, -1]], + xtraj_energy[:, [0, 1, -1]], + a[:, [0, 1, -1]], + xtraj_pod9[:, [0, 1, -1]], + a[:, [0, 1, -1]], + xtraj_enstrophy[:, [0, 1, -1]], + a[:, [0, 1, 2]], + xtraj_energy[:, [0, 1, 2]], + a[:, [0, 1, 2]], + xtraj_pod9[:, [0, 1, 2]], + a[:, [0, 1, 2]], + xtraj_enstrophy[:, [0, 1, 2]], + a[:, [2, 3, -1]], + xtraj_energy[:, [2, 3, -1]], + a[:, [2, 3, -1]], + xtraj_pod9[:, [2, 3, -1]], + a[:, [2, 3, -1]], + xtraj_enstrophy[:, [2, 3, -1]], + ] + data_labels = [ + [r"$a_1$", r"$a_2$", r"$a_{shift}$"], + [r"$a_1$", r"$a_2$", r"$a_3$"], + [r"$a_2$", r"$a_3$", r"$a_{shift}$"], + ] + ax[0, 0].set_title("Global Trapping SINDy, energy", fontsize=22) + ax[0, 1].set_title("POD-Galerkin model", fontsize=22) + ax[0, 2].set_title("Local Trapping SINDy, enstrophy", fontsize=22) + for i in range(3): + ax[i, 0].plot( + data[6 * i][:, 0], + data[6 * i][:, 1], + data[6 * i][:, 2], + "k--", + label="POD trajectory from DNS", + ) + ax[i, 0].plot( + data[6 * i + 1][:, 0], + data[6 * i + 1][:, 1], + data[6 * i + 1][:, 2], + linestyle="--", + label="Trapping SINDy model (energy)", + ) + ax[i, 1].plot( + data[6 * i + 2][:, 0], + data[6 * i + 2][:, 1], + data[6 * i + 2][:, 2], + "k--", + label="POD trajectory from DNS", + ) + ax[i, 1].plot( + data[6 * i + 3][:, 0], + data[6 * i + 3][:, 1], + data[6 * i + 3][:, 2], + linestyle="--", + label="(analytic) POD-Galerkin model", + ) + ax[i, 2].plot( + data[6 * i + 4][:, 0], + data[6 * i + 4][:, 1], + data[6 * i + 4][:, 2], + "k--", + label="POD trajectory from DNS", + ) + ax[i, 2].plot( + data[6 * i + 5][:, 0], + data[6 * i + 5][:, 1], + data[6 * i + 5][:, 2], + linestyle="--", + label="Trapping SINDy model (enstrophy)", + ) + if i == 2: + xlim = 1 + ylim = 1 + else: + xlim = 2 + ylim = 2 + if i == 1: + zlim = 0.5 + zlim_minus = -0.5 + else: + zlim = 2.5 + zlim_minus = 0 + # ax[i, 0].legend(fontsize=10) + ax[i, 0].set_xticklabels([]) + ax[i, 0].set_yticklabels([]) + ax[i, 0].set_zticklabels([]) + ax[i, 0].set_xlabel(data_labels[i][0], fontsize=fs) + ax[i, 0].set_ylabel(data_labels[i][1], fontsize=fs) + ax[i, 0].set_zlabel(data_labels[i][2], fontsize=fs) + ax[i, 0].set_xlim(-xlim, xlim) + ax[i, 0].set_ylim(-ylim, ylim) + ax[i, 0].set_zlim(zlim_minus, zlim) + # ax[i, 1].legend(fontsize=10) + ax[i, 1].set_xticklabels([]) + ax[i, 1].set_yticklabels([]) + ax[i, 1].set_zticklabels([]) + ax[i, 1].set_xlabel(data_labels[i][0], fontsize=fs) + ax[i, 1].set_ylabel(data_labels[i][1], fontsize=fs) + ax[i, 1].set_zlabel(data_labels[i][2], fontsize=fs) + ax[i, 1].set_xlim(-xlim, xlim) + ax[i, 1].set_ylim(-ylim, ylim) + ax[i, 1].set_zlim(zlim_minus, zlim) + # ax[i, 2].legend(fontsize=10) + ax[i, 2].set_xticklabels([]) + ax[i, 2].set_yticklabels([]) + ax[i, 2].set_zticklabels([]) + ax[i, 2].set_xlabel(data_labels[i][0], fontsize=fs) + ax[i, 2].set_ylabel(data_labels[i][1], fontsize=fs) + ax[i, 2].set_zlabel(data_labels[i][2], fontsize=fs) + ax[i, 2].set_xlim(-xlim, xlim) + ax[i, 2].set_ylim(-ylim, ylim) + ax[i, 2].set_zlim(zlim_minus, zlim) +plt.savefig("enstrophy_results.pdf") + +# %% +# define energies of the DNS, and both the 5D and 9D models +# for POD-Galerkin and the trapping SINDy models +E = np.sum(a**2, axis=1) +E_galerkin5 = np.sum(xtraj_pod9**2, axis=1) +E_sindy5 = np.sum(xtraj_energy**2, axis=1) +E_sindy5_local = np.sum(xtraj_enstrophy**2, axis=1) + +# plot the energies +plt.figure(figsize=(16, 4)) +plt.plot(t, E, "r", label="DNS") +plt.plot(t_traj, E_galerkin5, "m", label="POD-5") +plt.plot(t_traj, E_sindy5, "k", label=r"SINDy-energy") +plt.plot(t_traj, E_sindy5_local, "b", label=r"SINDy-enstrophy") + +# do some formatting and save +plt.legend(fontsize=22, loc=2) +plt.grid() +plt.xlim([0, 300]) +plt.ylim(0, 20) +ax = plt.gca() +ax.set_yticks([0, 10, 20]) +ax.tick_params(axis="x", labelsize=20) +ax.tick_params(axis="y", labelsize=20) +plt.ylabel("Total energy", fontsize=20) +plt.xlabel("t", fontsize=20) +plt.show() diff --git a/examples/9_sindypi_with_sympy.ipynb b/examples/9_sindypi_with_sympy.ipynb index 162d149f3..411b5c7d0 100644 --- a/examples/9_sindypi_with_sympy.ipynb +++ b/examples/9_sindypi_with_sympy.ipynb @@ -15,7 +15,7 @@ "The benefit of not using the SINDy-PI functionality is that you can avoid using SymPy (see below).\n", "\n", "An interactive version of this notebook is available on binder\n", - "[![Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/dynamicslab/pysindy/v1.7.1?filepath=examples/9_sindypi_with_sympy.ipynb)" + "[![Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/dynamicslab/pysindy/v1.7.3?filepath=examples/9_sindypi_with_sympy.ipynb)" ] }, { @@ -1258,7 +1258,7 @@ ], "metadata": { "kernelspec": { - "display_name": "Python 3 (ipykernel)", + "display_name": "Python 3", "language": "python", "name": "python3" }, @@ -1272,7 +1272,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.9.12" + "version": "3.7.4" } }, "nbformat": 4, diff --git a/examples/README.rst b/examples/README.rst index 4ab9d917b..410e26f80 100644 --- a/examples/README.rst +++ b/examples/README.rst @@ -3,15 +3,28 @@ PySINDy Examples This directory showcases the following examples of PySINDy in action. -`Feature overview `_ +`Feature overview <./1_feature_overview/example.ipynb>`_ ----------------------------------------------------------------------------------------------------------- This notebook gives an almost exhaustive overview of the different features available in PySINDy. It's a good reference for how to set various options and work with different types of datasets. +.. toctree:: + :hidden: + :maxdepth: 1 + + ./1_feature_overview/example + + `Introduction to SINDy <./2_introduction_to_sindy/example.ipynb>`_ --------------------------------------------------------------------------------------------------------------------- We recommend that people new to SINDy start here. We give a gentle introduction to the SINDy method and how different steps in the algorithm are represented in PySINDy. We also show how to use PySINDy to learn a model for a simple linear differential equation. -`Original paper `_ +.. toctree:: + :hidden: + :maxdepth: 1 + + ./2_introduction_to_sindy/example + +`Original paper <./3_original_paper/example.ipynb>`_ ------------------------------------------------------------------------------------------------------- This notebook uses PySINDy to reproduce the examples in the `original SINDy paper `_. Namely, it applies PySINDy to the following problems: @@ -23,61 +36,161 @@ This notebook uses PySINDy to reproduce the examples in the `original SINDy pape * Logistic map * Hopf system -`Scikit-learn compatibility `_ +.. toctree:: + :hidden: + :maxdepth: 1 + + ./3_original_paper/example + +`Scikit-learn compatibility <./4_scikit_learn_compatibility/example.ipynb>`_ ------------------------------------------------------------------------------------------------------------------------------- Shows how PySINDy interfaces with various Scikit-learn objects. * Cross-validation * Sparse regressors -`Differentiation <./5_differentation/example.ipynb>`_ +.. toctree:: + :hidden: + :maxdepth: 1 + + ./4_scikit_learn_compatibility/example + +`Differentiation <./5_differentiation/example.ipynb>`_ --------------------------------------------------------------------------------------------------------- Explore the differentiation methods available in PySINDy on pure differentiation problems and as components in the SINDy algorithm. -`Deeptime compatibility `_ +.. toctree:: + :hidden: + :maxdepth: 1 + + ./5_differentiation/example + + +`Deeptime compatibility <./6_deeptime_compatibility/example.ipynb>`_ ------------------------------------------------------------------------------------------------------------------------ See a demonstration of PySINDy objects designed to conform to the `Deeptime `_ API. -`Plasma physics `_ +.. toctree:: + :hidden: + :maxdepth: 1 + + ./6_deeptime_compatibility/example + +`Plasma physics <./7_plasma_examples/example.ipynb>`_ ---------------------------------------------------------------------------------------------- Use the ``ConstrainedSR3`` optimizer to build a constrained model for the temporal POD modes of a plasma simulation. +.. toctree:: + :hidden: + :maxdepth: 1 + + ./7_plasma_examples/example -`Trapping SINDy `_ +`Trapping SINDy <./8_trapping_sindy_paper_examples/example.ipynb>`_ ----------------------------------------------------------------------------------------------------------- This notebook applies the ``TrappingSR3`` optimizer to various canonical fluid systems., proposed in this paper: Kaptanoglu, Alan A., et al. "Promoting global stability in data-driven models of quadratic nonlinear dynamics." Physical Review Fluids 6.9 (2021): 094401. A preprint is found here ``_. -`SINDyPI `_ +.. toctree:: + :hidden: + :maxdepth: 1 + + ./8_trapping_sindy_paper_examples/example + +`SINDyPI <./9_sindypi_with_sympy/example.ipynb>`_ ---------------------------------------------------------------------------------------------- This notebook applies the ``SINDyPI`` optimizer to a simple implicit ODE and was originally proposed in this paper: Kaheman, Kadierdan, J. Nathan Kutz, and Steven L. Brunton. "SINDy-PI: a robust algorithm for parallel implicit sparse identification of nonlinear dynamics." Proceedings of the Royal Society A 476.2242 (2020): 20200279. -`PDEFIND `_ +.. toctree:: + :hidden: + :maxdepth: 1 + + ./9_sindypi_with_sympy/example + +`PDEFIND <./10_PDEFIND_examples/example.ipynb>`_ ---------------------------------------------------------------------------------------------- This notebook applies the PDEFIND algorithm (SINDy for PDE identification) to a number of PDEs, and was originally proposed in this paper: Rudy, Samuel H., et al. "Data-driven discovery of partial differential equations." Science Advances 3.4 (2017): e1602614. -`Greedy Algorithms `_ +.. toctree:: + :hidden: + :maxdepth: 1 + + ./10_PDEFIND_examples/example + +`Greedy Algorithms <./11_SSR_FROLS_examples/example.ipynb>`_ ----------------------------------------------------------------------------------------------------- This notebook uses the step-wise sparse regression (SSR) and forward-regression orthogonal least-squares (FROLS) algorithms, which are greedy algorithms that iteratively truncate (or add) one nonzero coefficient at each algorithm iteration. -`Weak formulation SINDy `_ +.. toctree:: + :hidden: + :maxdepth: 1 + + ./11_SSR_FROLS_examples/example + +`Weak formulation SINDy <./12_weakform_SINDy_examples/example.ipynb>`_ -------------------------------------------------------------------------------------------------------------- This notebook uses SINDy to identify the weak-formulation of a system of ODEs or PDEs, adding significant robustness against noise in the data. -`Model ensembles `_ +.. toctree:: + :hidden: + :maxdepth: 1 + + ./12_weakform_SINDy_examples/example + +`Model ensembles <./13_ensembling/example.ipynb>`_ ---------------------------------------------------------------------------------------------- This notebook uses sub-sampling of the data and sub-sampling of the SINDy library to generate many models, and the user can choose how to average or otherwise combine these models together. This tends to make SINDy more robust against noisy data. -`Cavity flow `_ +.. toctree:: + :hidden: + :maxdepth: 1 + + ./13_ensembling/example + +`Cavity flow <./14_cavity_flow/example.ipynb>`_ ---------------------------------------------------------------------------------------------- Demonstrates the use of SINDy to learn a model for the quasiperiodic dynamics in a shear-driven cavity at Re=7500, following Callaham, Brunton, and Loiseau (2021), preprint available here ``_. +.. toctree:: + :hidden: + :maxdepth: 1 + + ./14_cavity_flow/example + +`PySINDy lectures <./15_pysindy_lectures/example.ipynb>`_ +---------------------------------------------------------------------------------------------- +Lectures on PySINDy usage from Alan Kaptanoglu's Youtube channel: https://www.youtube.com/playlist?list=PLN90bHJU-JLoOfEk0KyBs2qLTV7OkMZ25. + +.. toctree:: + :hidden: + :maxdepth: 1 + + ./15_pysindy_lectures/example -.. Full table of contents -.. ---------------------- +`Noise robustness benchmarking <./16_noise_robustness/example.ipynb>`_ +---------------------------------------------------------------------------------------------- +Benchmarking PySINDy on low dimensional chaotic systems subject to noise, following Kaptanoglu, Zhang, Nicolaou, Fasel, & Brunton, (2023), preprint available here https://arxiv.org/abs/2302.10787. .. toctree:: - :glob: :hidden: - :maxdepth: 0 + :maxdepth: 1 + + ./16_noise_robustness/example + +`Parameterized pattern formation <./17_parameterized_pattern_formation/example.ipynb>`_ +---------------------------------------------------------------------------------------------- +Demonstrates the use of SINDyCP for discovery of parameterized pattern formation, following Nicolaou, Huo, Chen, Kutz, and Bruton (2023), preprint available here https://arxiv.org/abs/2301.02673. + +.. toctree:: + :hidden: + :maxdepth: 1 + + ./17_parameterized_pattern_formation/example + +`All examples including examples under development`_ +---------------------------------------------------------------------------------------------- + +.. toctree:: + :glob: + :maxdepth: 1 ** diff --git a/examples/data/vonKarman_pod/neksuite.py b/examples/data/vonKarman_pod/neksuite.py index 2bdd6c456..a5ae818ad 100644 --- a/examples/data/vonKarman_pod/neksuite.py +++ b/examples/data/vonKarman_pod/neksuite.py @@ -100,7 +100,7 @@ def readnek(fname): # compute total number of points per element npel = lr1[0] * lr1[1] * lr1[2] - # get number of pysical dimensions + # get number of physical dimensions ndim = 2 + (lr1[2] > 1) # get number of elements diff --git a/pyproject.toml b/pyproject.toml index 070b05185..18d7e17ce 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -1,28 +1,98 @@ [build-system] -requires = ["setuptools>=42", "wheel", "setuptools_scm[toml]>=3.4", "setuptools_scm_git_archive"] -build-backend = "setuptools.build_meta:__legacy__" +requires = ["setuptools", "setuptools-scm"] +build-backend = "setuptools.build_meta" -[tool.setuptools_scm] -write_to = "pysindy/version.py" +[project] +name = "pysindy" +description = "Sparse Identification of Nonlinear Dynamics" +authors = [ + {name="Brian de Silva", email="bdesilva@uw.edu"}, + {name="Kathleen Champion", email="kpchamp@uw.edu"}, + {name="Markus Quade", email="info@markusqua.de"}, + {name="Alan Kaptanoglu", email="akaptano@uw.edu"} +] +license = {text = "MIT"} +requires-python = ">=3.8" +dynamic = ["version"] +classifiers = [ + "Programming Language :: Python", + "Programming Language :: Python :: 3.8", + "Programming Language :: Python :: 3.9", + "Programming Language :: Python :: 3.10", + "Development Status :: 5 - Production/Stable", + "Intended Audience :: Science/Research", + "License :: OSI Approved :: MIT License", + "Topic :: Scientific/Engineering :: Mathematics", +] +readme = "README.rst" +dependencies = [ + "scikit-learn>=1.1, !=1.5.0", + "derivative>=0.5.4", +] + +[project.optional-dependencies] +dev = [ + "matplotlib", + "seaborn", + "pytest>=6.2.4, <8.0.0", + "black", + "build", + "pytest-cov", + "pytest-lazy-fixture", + "flake8-builtins-unleashed", + "jupyter", + "jupytext", + "pre-commit", + "hypothesis", + "jupyter-contrib-nbextensions" +] +docs = [ + "ipython", + "pandoc", + "sphinx-rtd-theme", + "sphinx==7.1.2", + "sphinxcontrib-apidoc", + "nbsphinx" +] +miosr = [ + "gurobipy>=9.5.1,!=10.0.0" +] +cvxpy = [ + "cvxpy<1.5", + "scs>=2.1, !=2.1.4" +] +sbr = [ + "numpyro", + "jax", + "arviz==0.17.1", + "scipy<1.13.0" +] [tool.black] line-length = 88 -extend-exclude = ''' -/( +force-exclude = ''' \.git - | \.mypy_cache - | \.venv - | .vscode - | version.py - | build - | dist - | env -)/ + \.mypy_cache + \.venv + .vscode + version.py + build + dist + env ''' [tool.pytest.ini_options] filterwarnings = [ "ignore::RuntimeWarning", "ignore::UserWarning",] -addopts = '-m "not slow"' -markers = ["slow"] +addopts = '-m "not slow and not notebooks"' +markers = ["slow", "notebooks"] + +[tool.codespell] +ignore-words-list = "pres,nd,hist" + +[tool.setuptools] +packages = ["pysindy"] + +[tool.setuptools_scm] +write_to = "pysindy/version.py" diff --git a/pysindy/__init__.py b/pysindy/__init__.py index e5a767bea..63adfcb3b 100644 --- a/pysindy/__init__.py +++ b/pysindy/__init__.py @@ -49,7 +49,11 @@ from .optimizers import StableLinearSR3 except ImportError: pass -from .optimizers import SINDyOptimizer +try: + from .optimizers import SBR +except ImportError: + pass +from .optimizers import WrappedOptimizer from .optimizers import SR3 from .optimizers import SSR from .optimizers import STLSQ diff --git a/pysindy/deeptime/deeptime.py b/pysindy/deeptime/deeptime.py index f4d5ae0ed..d8d028955 100644 --- a/pysindy/deeptime/deeptime.py +++ b/pysindy/deeptime/deeptime.py @@ -1,7 +1,6 @@ """ `Deeptime `_ wrapper interface for PySINDy. """ -from sklearn import __version__ from sklearn.pipeline import Pipeline from sklearn.utils.validation import check_is_fitted @@ -217,10 +216,7 @@ def __init__( ] self.model = Pipeline(steps) - if float(__version__[:3]) >= 1.0: - self.n_features_in_ = self.model.steps[0][1].n_features_in_ - else: - self.n_input_features_ = self.model.steps[0][1].n_input_features_ + self.n_features_in_ = self.model.steps[0][1].n_features_in_ self.n_output_features_ = self.model.steps[0][1].n_output_features_ def copy(self): diff --git a/pysindy/differentiation/base.py b/pysindy/differentiation/base.py index 404bebb3d..c2a048010 100644 --- a/pysindy/differentiation/base.py +++ b/pysindy/differentiation/base.py @@ -12,6 +12,10 @@ class BaseDifferentiation(BaseEstimator): Simply forces differentiation methods to implement a ``_differentiate`` function. + + Attributes: + smoothed_x_: Methods that smooth x before differentiating save + that value here. Methods that do not simply save x here. """ def __init__(self): diff --git a/pysindy/differentiation/finite_difference.py b/pysindy/differentiation/finite_difference.py index 98878dc52..25690ddcc 100644 --- a/pysindy/differentiation/finite_difference.py +++ b/pysindy/differentiation/finite_difference.py @@ -1,6 +1,12 @@ +from typing import List +from typing import Union + import numpy as np +from numpy.typing import NDArray +from scipy.special import factorial from .base import BaseDifferentiation +from pysindy.utils.axes import AxesArray class FiniteDifference(BaseDifferentiation): @@ -54,13 +60,12 @@ class FiniteDifference(BaseDifferentiation): def __init__( self, order=2, - d=1, + d: int = 1, axis=0, is_uniform=False, drop_endpoints=False, periodic=False, ): - if order <= 0 or not isinstance(order, int): raise ValueError("order must be a positive int") if d <= 0: @@ -84,22 +89,27 @@ def __init__( def _coefficients(self, t): nt = len(t) - self.stencil_inds = np.array( - [np.arange(i, nt - self.n_stencil + i + 1) for i in range(self.n_stencil)] + self.stencil_inds = AxesArray( + np.array( + [ + np.arange(i, nt - self.n_stencil + i + 1) + for i in range(self.n_stencil) + ] + ), + {"ax_offset": 0, "ax_ti": 1}, + ) + self.stencil = AxesArray( + np.transpose(t[self.stencil_inds]), {"ax_time": 0, "ax_offset": 1} ) - self.stencil = np.transpose(t[self.stencil_inds]) - pows = np.arange(self.n_stencil)[np.newaxis, :, np.newaxis] - matrices = ( + dt_endpoints = ( self.stencil - - t[ - (self.n_stencil - 1) // 2 : -(self.n_stencil - 1) // 2, - np.newaxis, - ] - )[:, np.newaxis, :] ** pows - b = np.zeros(self.n_stencil) - b[self.d] = np.math.factorial(self.d) - return np.linalg.solve(matrices, [b]) + - t[(self.n_stencil - 1) // 2 : -(self.n_stencil - 1) // 2, "offset"] + ) + matrices = dt_endpoints[:, "power", :] ** pows + b = AxesArray(np.zeros((1, self.n_stencil)), {"ax_time": 0, "ax_power": 1}) + b[0, self.d] = factorial(self.d) + return np.linalg.solve(matrices, b) def _coefficients_boundary_forward(self, t): # use the same stencil for each boundary point, @@ -134,7 +144,7 @@ def _coefficients_boundary_forward(self, t): ) b = np.zeros(self.stencil_inds.shape).T - b[:, self.d] = np.math.factorial(self.d) + b[:, self.d] = factorial(self.d) return np.linalg.solve(matrices, b) def _coefficients_boundary_periodic(self, t): @@ -187,7 +197,7 @@ def _coefficients_boundary_periodic(self, t): ) b = np.zeros(self.stencil_inds.shape).T - b[:, self.d] = np.math.factorial(self.d) + b[:, self.d] = factorial(self.d) return np.linalg.solve(matrices, b) def _constant_coefficients(self, dt): @@ -196,28 +206,35 @@ def _constant_coefficients(self, dt): np.newaxis, : ] ** pows b = np.zeros(self.n_stencil) - b[self.d] = np.math.factorial(self.d) + b[self.d] = factorial(self.d) return np.linalg.solve(matrices, b) def _accumulate(self, coeffs, x): # slice to select the stencil indices - s = [slice(None)] * len(x.shape) + s = [slice(None)] * x.ndim s[self.axis] = self.stencil_inds - # a new axis is introduced after self.axis for the stencil indices + # a new axis is introduced before self.axis for the stencil indices # To contract with the coefficients, roll by -self.axis to put it first # Then roll back by self.axis to return the order - trans = np.roll(np.arange(len(x.shape) + 1), -self.axis) + trans = np.roll(np.arange(x.ndim + 1), -self.axis) + # TODO: assign x's axes much earlier in the call stack + x = AxesArray(x, {"ax_unk": list(range(x.ndim))}) + x_expanded = AxesArray( + np.transpose(x[tuple(s)], axes=trans), x.insert_axis(0, "ax_offset") + ) return np.transpose( np.einsum( "ij...,ij->j...", - np.transpose(x[tuple(s)], axes=trans), + x_expanded, np.transpose(coeffs), ), - np.roll(np.arange(len(x.shape)), self.axis), + np.roll(np.arange(x.ndim), self.axis), ) - def _differentiate(self, x, t): + def _differentiate( + self, x: NDArray, t: Union[NDArray, float, List[float]] + ) -> NDArray: """ Apply finite difference method. """ @@ -248,6 +265,7 @@ def _differentiate(self, x, t): s[self.axis] = slice(start, stop) interior = interior + x[tuple(s)] * coeffs[i] else: + t = AxesArray(np.array(t), axes={"ax_time": 0}) coeffs = self._coefficients(t) interior = self._accumulate(coeffs, x) s[self.axis] = slice((self.n_stencil - 1) // 2, -(self.n_stencil - 1) // 2) @@ -282,4 +300,5 @@ def _differentiate(self, x, t): ] ) x_dot[tuple(s)] = boundary + self.smoothed_x_ = x return x_dot diff --git a/pysindy/differentiation/sindy_derivative.py b/pysindy/differentiation/sindy_derivative.py index 2b5a0292c..533724b71 100644 --- a/pysindy/differentiation/sindy_derivative.py +++ b/pysindy/differentiation/sindy_derivative.py @@ -3,7 +3,7 @@ Some default values used here may differ from those used in :doc:`derivative:index`. """ -from derivative import dxdt +from derivative import methods from numpy import arange from .base import BaseDifferentiation @@ -33,8 +33,9 @@ class SINDyDerivative(BaseDifferentiation): for acceptable keywords. """ - def __init__(self, **kwargs): + def __init__(self, save_smooth=True, **kwargs): self.kwargs = kwargs + self.save_smooth = save_smooth def set_params(self, **params): """ @@ -52,6 +53,7 @@ def set_params(self, **params): return self else: self.kwargs.update(params["kwargs"]) + self.save_smooth = params.get("save_smooth", self.save_smooth) return self @@ -61,6 +63,7 @@ def get_params(self, deep=True): if isinstance(self.kwargs, dict): params.update(self.kwargs) + params["save_smooth"] = self.save_smooth return params @@ -70,4 +73,12 @@ def _differentiate(self, x, t=1): raise ValueError("t must be a positive constant or an array") t = arange(x.shape[0]) * t - return dxdt(x, t, axis=0, **self.kwargs) + differentiator = methods[self.kwargs["kind"]]( + **{k: v for k, v in self.kwargs.items() if k != "kind"} + ) + x_dot = differentiator.d(x, t, axis=0) + if self.save_smooth: + self.smoothed_x_ = differentiator.x(x, t, axis=0) + else: + self.smoothed_x_ = x + return x_dot diff --git a/pysindy/differentiation/smoothed_finite_difference.py b/pysindy/differentiation/smoothed_finite_difference.py index c5b0799a7..8f3365eac 100644 --- a/pysindy/differentiation/smoothed_finite_difference.py +++ b/pysindy/differentiation/smoothed_finite_difference.py @@ -18,6 +18,9 @@ class SmoothedFiniteDifference(FiniteDifference): smoother_kws: dict, optional (default :code:`{}`) Arguments passed to smoother when it is invoked. + save_smooth: bool + Whether to save the smoothed coordinate values or not. + **kwargs: kwargs Additional parameters passed to the :meth:`pysindy.FiniteDifference.__init__` function. @@ -42,10 +45,13 @@ class SmoothedFiniteDifference(FiniteDifference): [ 5.39752150e-01, -8.41980082e-01]]) """ - def __init__(self, smoother=savgol_filter, smoother_kws={}, **kwargs): + def __init__( + self, smoother=savgol_filter, smoother_kws={}, save_smooth=True, **kwargs + ): super(SmoothedFiniteDifference, self).__init__(**kwargs) self.smoother = smoother self.smoother_kws = smoother_kws + self.save_smooth = save_smooth if smoother is savgol_filter: if "window_length" not in smoother_kws: @@ -56,5 +62,10 @@ def __init__(self, smoother=savgol_filter, smoother_kws={}, **kwargs): def _differentiate(self, x, t): """Apply finite difference method after smoothing.""" - x = self.smoother(x, **self.smoother_kws) - return super(SmoothedFiniteDifference, self)._differentiate(x, t) + x_smooth = self.smoother(x, **self.smoother_kws) + x_dot = super(SmoothedFiniteDifference, self)._differentiate(x_smooth, t) + if self.save_smooth: + self.smoothed_x_ = x_smooth + else: + self.smoothed_x_ = x + return x_dot diff --git a/pysindy/differentiation/spectral_derivative.py b/pysindy/differentiation/spectral_derivative.py index c90e089d5..8df3a2a84 100644 --- a/pysindy/differentiation/spectral_derivative.py +++ b/pysindy/differentiation/spectral_derivative.py @@ -59,6 +59,7 @@ def _differentiate(self, x, t): freqs[: n // 2 + 1] = positives * 2 * np.pi / (n * t) freqs[n // 2 + 1 :] = (negatives - n) * 2 * np.pi / (n * t) + self.smoothed_x_ = x if x.dtype is complex: return np.fft.ifft( np.reshape(1j * freqs, dims) ** self.d * q, axis=self.axis diff --git a/pysindy/feature_library/base.py b/pysindy/feature_library/base.py index f60d56fc8..54697da45 100644 --- a/pysindy/feature_library/base.py +++ b/pysindy/feature_library/base.py @@ -4,11 +4,12 @@ import abc import warnings from functools import wraps +from itertools import repeat +from typing import Optional from typing import Sequence import numpy as np from scipy import sparse -from sklearn import __version__ from sklearn.base import TransformerMixin from sklearn.utils.validation import check_is_fitted @@ -24,29 +25,8 @@ class BaseFeatureLibrary(TransformerMixin): Forces subclasses to implement ``fit``, ``transform``, and ``get_feature_names`` methods. - - Parameters - ---------- - library_ensemble : boolean, optional (default False) - Whether or not to use library bagging (regress on subset of the - candidate terms in the library) - - ensemble_indices : integer array, optional (default [0]) - The indices to use for ensembling the library. """ - def __init__(self, library_ensemble=None, ensemble_indices=[0]): - if library_ensemble is not None: - warnings.warn( - "Library ensembling is no longer performed by feature libraries. Use " - "EnsemblingOptimizer to fit an ensemble model.", - DeprecationWarning, - ) - self.library_ensemble = library_ensemble - if np.any(np.asarray(ensemble_indices) < 0): - raise ValueError("Library ensemble indices must be 0 or positive integers.") - self.ensemble_indices = ensemble_indices - def validate_input(self, x, *args, **kwargs): return validate_no_reshape(x, *args, **kwargs) @@ -83,9 +63,9 @@ def correct_shape(self, x: AxesArray): return x def calc_trajectory(self, diff_method, x, t): - axes = x.__dict__ x_dot = diff_method(x, t=t) - return AxesArray(x_dot, axes) + x = AxesArray(diff_method.smoothed_x_, x.axes) + return x, AxesArray(x_dot, x.axes) def get_spatial_grid(self): return None @@ -143,29 +123,6 @@ def get_feature_names(self, input_features=None): """ raise NotImplementedError - def _ensemble(self, xp): - """ - If library bagging, return xp without - the terms at ensemble_indices - """ - warnings.warn( - "Library ensembling is no longer performed by feature libraries. Use " - "EnsemblingOptimizer to fit an ensemble model.", - UserWarning, - ) - - if self.library_ensemble: - if self.n_output_features_ <= len(self.ensemble_indices): - raise ValueError( - "Error: you are trying to chop more library terms " - "than are available to remove!" - ) - inds = range(self.n_output_features_) - inds = np.delete(inds, self.ensemble_indices) - return [x[..., inds] for x in xp] - else: - return xp - def __add__(self, other): return ConcatLibrary([self, other]) @@ -220,23 +177,10 @@ class ConcatLibrary(BaseFeatureLibrary): libraries : list of libraries Library instances to be applied to the input matrix. - library_ensemble : boolean, optional (default False) - Whether or not to use library bagging (regress on subset of the - candidate terms in the library). - - ensemble_indices : integer array, optional (default [0]) - The indices to use for ensembling the library. For instance, if - ensemble_indices = [0], it chops off the first column of the library. - Attributes ---------- - libraries_ : list of libraries - Library instances to be applied to the input matrix. - - n_input_features_ : int + n_features_in_ : int The total number of input features. - WARNING: This is deprecated in scikit-learn version 1.0 and higher so - we check the sklearn.__version__ and switch to n_features_in if needed. n_output_features_ : int The total number of output features. The number of output features @@ -260,13 +204,8 @@ class ConcatLibrary(BaseFeatureLibrary): def __init__( self, libraries: list, - library_ensemble=False, - ensemble_indices=[0], ): - super(ConcatLibrary, self).__init__( - library_ensemble=library_ensemble, ensemble_indices=ensemble_indices - ) - self.libraries_ = libraries + self.libraries = libraries @x_sequence_or_item def fit(self, x_full, y=None): @@ -283,19 +222,16 @@ def fit(self, x_full, y=None): self : instance """ n_features = x_full[0].shape[x_full[0].ax_coord] - if float(__version__[:3]) >= 1.0: - self.n_features_in_ = n_features - else: - self.n_input_features_ = n_features + self.n_features_in_ = n_features # First fit all libs provided below - fitted_libs = [lib.fit(x_full, y) for lib in self.libraries_] + fitted_libs = [lib.fit(x_full, y) for lib in self.libraries] # Calculate the sum of output features self.n_output_features_ = sum([lib.n_output_features_ for lib in fitted_libs]) # Save fitted libs - self.libraries_ = fitted_libs + self.libraries = fitted_libs return self @@ -315,18 +251,16 @@ def transform(self, x_full): generated from applying the custom functions to the inputs. """ - for lib in self.libraries_: + for lib in self.libraries: check_is_fitted(lib) xp_full = [] for x in x_full: - feature_sets = [lib.transform([x])[0] for lib in self.libraries_] + feature_sets = [lib.transform([x])[0] for lib in self.libraries] xp = np.concatenate(feature_sets, axis=feature_sets[0].ax_coord) xp = AxesArray(xp, comprehend_axes(xp)) xp_full.append(xp) - if self.library_ensemble: - xp_full = self._ensemble(xp_full) return xp_full def get_feature_names(self, input_features=None): @@ -343,13 +277,13 @@ def get_feature_names(self, input_features=None): output_feature_names : list of string, length n_output_features """ feature_names = list() - for lib in self.libraries_: + for lib in self.libraries: lib_feat_names = lib.get_feature_names(input_features) feature_names += lib_feat_names return feature_names def calc_trajectory(self, diff_method, x, t): - return self.libraries_[0].calc_trajectory(diff_method, x, t) + return self.libraries[0].calc_trajectory(diff_method, x, t) class TensoredLibrary(BaseFeatureLibrary): @@ -361,28 +295,19 @@ class TensoredLibrary(BaseFeatureLibrary): libraries : list of libraries Library instances to be applied to the input matrix. - library_ensemble : boolean, optional (default False) - Whether or not to use library bagging (regress on subset of the - candidate terms in the library). - - ensemble_indices : integer array, optional (default [0]) - The indices to use for ensembling the library. For instance, if - ensemble_indices = [0], it chops off the first column of the library. + inputs_per_library_ : Sequence of Sequences of ints (default None) + list that specifies which input indexes should be passed as + inputs for each of the individual feature libraries. + length must equal the number of feature libraries. Default is + that all inputs are used for every library. Attributes ---------- libraries_ : list of libraries Library instances to be applied to the input matrix. - inputs_per_library_ : numpy nd.array - Array that specifies which inputs should be used for each of the - libraries you are going to tensor together. Used for building - GeneralizedLibrary objects. - - n_input_features_ : int + n_features_in_ : int The total number of input features. - WARNING: This is deprecated in scikit-learn version 1.0 and higher so - we check the sklearn.__version__ and switch to n_features_in if needed. n_output_features_ : int The total number of output features. The number of output features @@ -406,17 +331,12 @@ class TensoredLibrary(BaseFeatureLibrary): def __init__( self, libraries: list, - library_ensemble=False, - inputs_per_library=None, - ensemble_indices=[0], + inputs_per_library: Optional[Sequence[Sequence[int]]] = None, ): - super(TensoredLibrary, self).__init__( - library_ensemble=library_ensemble, ensemble_indices=ensemble_indices - ) - self.libraries_ = libraries - self.inputs_per_library_ = inputs_per_library + self.libraries = libraries + self.inputs_per_library = inputs_per_library - def _combinations(self, lib_i, lib_j): + def _combinations(self, lib_i: AxesArray, lib_j: AxesArray) -> AxesArray: """ Compute combinations of the numerical libraries. @@ -430,7 +350,7 @@ def _combinations(self, lib_i, lib_j): lib_i.shape[lib_i.ax_coord] * lib_j.shape[lib_j.ax_coord] ) lib_full = np.reshape( - lib_i[..., :, np.newaxis] * lib_j[..., np.newaxis, :], + lib_i[..., :, "coord"] * lib_j[..., "coord", :], shape, ) @@ -454,7 +374,7 @@ def _set_inputs_per_library(self, inputs_per_library): """ Extra function to make building a GeneralizedLibrary object easier """ - self.inputs_per_library_ = inputs_per_library + self.inputs_per_library = inputs_per_library @x_sequence_or_item def fit(self, x_full, y=None): @@ -472,24 +392,18 @@ def fit(self, x_full, y=None): """ n_features = x_full[0].shape[x_full[0].ax_coord] - if float(__version__[:3]) >= 1.0: - self.n_features_in_ = n_features - else: - self.n_input_features_ = n_features + self.n_features_in_ = n_features # If parameter is not set, use all the inputs - if self.inputs_per_library_ is None: - temp_inputs = np.tile(range(n_features), len(self.libraries_)) - self.inputs_per_library_ = np.reshape( - temp_inputs, (len(self.libraries_), n_features) + if self.inputs_per_library is None: + self.inputs_per_library = list( + repeat(list(range(n_features)), len(self.libraries)) ) # First fit all libs provided below fitted_libs = [ - lib.fit( - [x[..., np.unique(self.inputs_per_library_[i, :])] for x in x_full], y - ) - for i, lib in enumerate(self.libraries_) + lib.fit([x[..., _unique(self.inputs_per_library[i])] for x in x_full], y) + for i, lib in enumerate(self.libraries) ] # Calculate the sum of output features @@ -499,7 +413,7 @@ def fit(self, x_full, y=None): self.n_output_features_ *= osize # Save fitted libs - self.libraries_ = fitted_libs + self.libraries = fitted_libs return self @@ -524,19 +438,19 @@ def transform(self, x_full): xp_full = [] for x in x_full: xp = [] - for i in range(len(self.libraries_)): - lib_i = self.libraries_[i] - if self.inputs_per_library_ is None: + for i in range(len(self.libraries)): + lib_i = self.libraries[i] + if self.inputs_per_library is None: xp_i = lib_i.transform([x])[0] else: xp_i = lib_i.transform( - [x[..., np.unique(self.inputs_per_library_[i, :])]] + [x[..., _unique(self.inputs_per_library[i])]] )[0] - for j in range(i + 1, len(self.libraries_)): - lib_j = self.libraries_[j] + for j in range(i + 1, len(self.libraries)): + lib_j = self.libraries[j] xp_j = lib_j.transform( - [x[..., np.unique(self.inputs_per_library_[j, :])]] + [x[..., _unique(self.inputs_per_library[j])]] )[0] xp.append(self._combinations(xp_i, xp_j)) @@ -544,8 +458,6 @@ def transform(self, x_full): xp = np.concatenate(xp, axis=xp[0].ax_coord) xp = AxesArray(xp, comprehend_axes(xp)) xp_full.append(xp) - if self.library_ensemble: - xp_full = self._ensemble(xp_full) return xp_full def get_feature_names(self, input_features=None): @@ -562,26 +474,26 @@ def get_feature_names(self, input_features=None): output_feature_names : list of string, length n_output_features """ feature_names = list() - for i in range(len(self.libraries_)): - lib_i = self.libraries_[i] + for i in range(len(self.libraries)): + lib_i = self.libraries[i] if input_features is None: input_features_i = [ - "x%d" % k for k in np.unique(self.inputs_per_library_[i, :]) + "x%d" % k for k in _unique(self.inputs_per_library[i]) ] else: input_features_i = np.asarray(input_features)[ - np.unique(self.inputs_per_library_[i, :]) + _unique(self.inputs_per_library[i]) ].tolist() lib_i_feat_names = lib_i.get_feature_names(input_features_i) - for j in range(i + 1, len(self.libraries_)): - lib_j = self.libraries_[j] + for j in range(i + 1, len(self.libraries)): + lib_j = self.libraries[j] if input_features is None: input_features_j = [ - "x%d" % k for k in np.unique(self.inputs_per_library_[j, :]) + "x%d" % k for k in _unique(self.inputs_per_library[j]) ] else: input_features_j = np.asarray(input_features)[ - np.unique(self.inputs_per_library_[j, :]) + _unique(self.inputs_per_library[j]) ].tolist() lib_j_feat_names = lib_j.get_feature_names(input_features_j) feature_names += self._name_combinations( @@ -590,4 +502,9 @@ def get_feature_names(self, input_features=None): return feature_names def calc_trajectory(self, diff_method, x, t): - return self.libraries_[0].calc_trajectory(diff_method, x, t) + return self.libraries[0].calc_trajectory(diff_method, x, t) + + +def _unique(s: Sequence) -> Sequence: + """Remove duplicates, preserving order when python > 3.7""" + return list(dict.fromkeys(s)) diff --git a/pysindy/feature_library/custom_library.py b/pysindy/feature_library/custom_library.py index ece6298c5..b385478f4 100644 --- a/pysindy/feature_library/custom_library.py +++ b/pysindy/feature_library/custom_library.py @@ -4,7 +4,6 @@ from numpy import empty from numpy import ones from numpy import shape -from sklearn import __version__ from sklearn.utils.validation import check_is_fitted from ..utils import AxesArray @@ -42,13 +41,6 @@ class CustomLibrary(BaseFeatureLibrary): will be included. If False, all combinations will be included. - library_ensemble : boolean, optional (default False) - Whether or not to use library bagging (regress on subset of the - candidate terms in the library) - - ensemble_indices : integer array, optional (default [0]) - The indices to use for ensembling the library. - include_bias : boolean, optional (default False) If True (default), then include a bias column, the feature in which all polynomial powers are zero (i.e. a column of ones - acts as an @@ -65,10 +57,8 @@ class CustomLibrary(BaseFeatureLibrary): Functions for generating string representations of each library function. - n_input_features_ : int + n_features_in_ : int The total number of input features. - WARNING: This is deprecated in scikit-learn version 1.0 and higher so - we check the sklearn.__version__ and switch to n_features_in if needed. n_output_features_ : int The total number of output features. The number of output features @@ -95,13 +85,8 @@ def __init__( library_functions, function_names=None, interaction_only=True, - library_ensemble=False, - ensemble_indices=[0], include_bias=False, ): - super(CustomLibrary, self).__init__( - library_ensemble=library_ensemble, ensemble_indices=ensemble_indices - ) self.functions = library_functions self.function_names = function_names if function_names and ( @@ -135,10 +120,7 @@ def get_feature_names(self, input_features=None): """ check_is_fitted(self) - if float(__version__[:3]) >= 1.0: - n_input_features = self.n_features_in_ - else: - n_input_features = self.n_input_features_ + n_input_features = self.n_features_in_ if input_features is None: input_features = ["x%d" % i for i in range(n_input_features)] feature_names = [] @@ -167,10 +149,7 @@ def fit(self, x_full, y=None): self : instance """ n_features = x_full[0].shape[x_full[0].ax_coord] - if float(__version__[:3]) >= 1.0: - self.n_features_in_ = n_features - else: - self.n_input_features_ = n_features + self.n_features_in_ = n_features n_output_features = 0 for f in self.functions: n_args = f.__code__.co_argcount @@ -209,11 +188,7 @@ def transform(self, x_full): xp_full = [] for x in x_full: n_features = x.shape[x.ax_coord] - - if float(__version__[:3]) >= 1.0: - n_input_features = self.n_features_in_ - else: - n_input_features = self.n_input_features_ + n_input_features = self.n_features_in_ if n_features != n_input_features: raise ValueError("x shape does not match training shape") @@ -232,6 +207,4 @@ def transform(self, x_full): xp = AxesArray(xp, comprehend_axes(xp)) xp_full.append(xp) - if self.library_ensemble: - xp_full = self._ensemble(xp_full) return xp_full diff --git a/pysindy/feature_library/fourier_library.py b/pysindy/feature_library/fourier_library.py index 0f62797eb..accc5450b 100644 --- a/pysindy/feature_library/fourier_library.py +++ b/pysindy/feature_library/fourier_library.py @@ -1,5 +1,4 @@ import numpy as np -from sklearn import __version__ from sklearn.utils.validation import check_is_fitted from ..utils import AxesArray @@ -26,19 +25,10 @@ class FourierLibrary(BaseFeatureLibrary): include_cos : boolean, optional (default True) If True, include cosine terms in the library. - library_ensemble : boolean, optional (default False) - Whether or not to use library bagging (regress on subset of the - candidate terms in the library) - - ensemble_indices : integer array, optional (default 0) - The indices to use for ensembling the library. - Attributes ---------- - n_input_features_ : int + n_features_in_ : int The total number of input features. - WARNING: This is deprecated in scikit-learn version 1.0 and higher so - we check the sklearn.__version__ and switch to n_features_in if needed. n_output_features_ : int The total number of output features. The number of output features @@ -64,12 +54,7 @@ def __init__( n_frequencies=1, include_sin=True, include_cos=True, - library_ensemble=False, - ensemble_indices=[0], ): - super(FourierLibrary, self).__init__( - library_ensemble=library_ensemble, ensemble_indices=ensemble_indices - ) if not (include_sin or include_cos): raise ValueError("include_sin and include_cos cannot both be False") if n_frequencies < 1 or not isinstance(n_frequencies, int): @@ -93,10 +78,7 @@ def get_feature_names(self, input_features=None): output_feature_names : list of string, length n_output_features """ check_is_fitted(self) - if float(__version__[:3]) >= 1.0: - n_input_features = self.n_features_in_ - else: - n_input_features = self.n_input_features_ + n_input_features = self.n_features_in_ if input_features is None: input_features = ["x%d" % i for i in range(n_input_features)] feature_names = [] @@ -123,10 +105,7 @@ def fit(self, x_full, y=None): self : instance """ n_features = x_full[0].shape[x_full[0].ax_coord] - if float(__version__[:3]) >= 1.0: - self.n_features_in_ = n_features - else: - self.n_input_features_ = n_features + self.n_features_in_ = n_features if self.include_sin and self.include_cos: self.n_output_features_ = n_features * self.n_frequencies * 2 else: @@ -156,10 +135,7 @@ def transform(self, x_full): n_features = x.shape[x.ax_coord] shape = np.array(x.shape) - if float(__version__[:3]) >= 1.0: - n_input_features = self.n_features_in_ - else: - n_input_features = self.n_input_features_ + n_input_features = self.n_features_in_ if n_features != n_input_features: raise ValueError("x shape does not match training shape") @@ -176,6 +152,4 @@ def transform(self, x_full): idx += 1 xp = AxesArray(xp, comprehend_axes(xp)) xp_full.append(xp) - if self.library_ensemble: - xp_full = self._ensemble(xp_full) return xp_full diff --git a/pysindy/feature_library/generalized_library.py b/pysindy/feature_library/generalized_library.py index 08b93cadb..29834c2a8 100644 --- a/pysindy/feature_library/generalized_library.py +++ b/pysindy/feature_library/generalized_library.py @@ -1,8 +1,13 @@ +from itertools import repeat +from typing import Optional +from typing import Sequence +from warnings import warn + import numpy as np -from sklearn import __version__ from sklearn.utils.validation import check_is_fitted from ..utils import AxesArray +from .base import _unique from .base import BaseFeatureLibrary from .base import x_sequence_or_item from .weak_pde_library import WeakPDELibrary @@ -31,49 +36,19 @@ class GeneralizedLibrary(BaseFeatureLibrary): tensored libraries from tensoring libraries 0 and 3 and libraries 1, 3, and 4. - inputs_per_library : 2D np.ndarray, optional (default None) - Shape should be equal to # feature libraries by # variable input. - Can be used to specify a subset of the variables to use to generate - a feature library. If number of feature libraries > 1, then can be - used to generate a large number of libraries, each using their own - subsets of the input variables. Note that this must be specified for - all the individual feature libraries. - - library_ensemble : boolean, optional (default False) - Whether or not to use library bagging (regress on subset of the - candidate terms in the library). - - ensemble_indices : integer array, optional (default [0]) - The indices to use for ensembling the library. For instance, if - ensemble_indices = [0], it chops off the first column of the library. + inputs_per_library : Sequence of Seqeunces of ints (default None) + list that specifies which input indexes should be passed as + inputs for each of the individual feature libraries. + length must equal the number of feature libraries. Default is + that all inputs are used for every library. Attributes ---------- - libraries_ : list of libraries - Library instances to be applied to the input matrix. + self.libraries_full_: list[BaseFeatureLibrary] + The fitted libraries - tensor_array_ : 2D list of booleans (default None) - Indicates which pairs of libraries to tensor product together and - add to the overall library. For instance if you have 5 libraries, - and want to do two tensor products, you could use the list - [[1, 0, 0, 1, 0], [0, 1, 0, 1, 1]] to indicate that you want two - tensored libraries from tensoring libraries 0 and 3 and libraries - 1, 3, and 4. Shape equal to # of tensor libraries to make - by the # feature libraries. - - inputs_per_library_ : 2D np.ndarray, (default None) - Default is that all inputs are used for every library. - Can be used to specify a subset of the variables to use to generate - a feature library. If number of feature libraries > 1, then can be - use to generate a large number of libraries, each using their own - subsets of the input variables. Note that this must be specified for - all the individual feature libraries. The shape is equal to - # feature libraries, # variable inputs. - - n_input_features_ : int + n_features_in_ : int The total number of input features. - WARNING: This is deprecated in scikit-learn version 1.0 and higher so - we check the sklearn.__version__ and switch to n_features_in if needed. n_output_features_ : int The total number of output features. The number of output features @@ -98,16 +73,11 @@ def __init__( self, libraries: list, tensor_array=None, - inputs_per_library=None, - library_ensemble=False, - ensemble_indices=[0], + inputs_per_library: Optional[Sequence[Sequence[int]]] = None, exclude_libraries=[], ): - super(GeneralizedLibrary, self).__init__( - library_ensemble=library_ensemble, ensemble_indices=ensemble_indices - ) if len(libraries) > 0: - self.libraries_ = libraries + self.libraries = libraries if has_weak(self) and has_nonweak(self): raise ValueError( @@ -121,15 +91,19 @@ def __init__( "Empty or nonsensical library list passed to this library." ) if inputs_per_library is not None: - if inputs_per_library.ndim != 2: - raise ValueError("Input libraries array should form a 2D numpy array.") - if inputs_per_library.shape[0] != len(libraries): + if len(inputs_per_library) != len(libraries): raise ValueError( "If specifying different inputs for each library, then " "first dimension of inputs_per_library must be equal to " "the number of libraries being used." ) - if np.any(inputs_per_library < 0): + if isinstance(inputs_per_library, np.ndarray): + warn( + "inputs_per_library should no longer be passed as a numpy array", + UserWarning, + ) + inputs_per_library = [list(row) for row in inputs_per_library] + if any(x_ind < 0 for inputs in inputs_per_library for x_ind in inputs): raise ValueError( "The inputs_per_library parameter must be a numpy array " "of integers with values between 0 and " @@ -157,10 +131,9 @@ def __init__( "specify at least two libraries (there should be at " "least two entries with value 1 in the tensor_array)." ) - self.tensor_array_ = tensor_array - self.inputs_per_library_ = inputs_per_library - self.libraries_full_ = self.libraries_ - self.exclude_libs_ = exclude_libraries + self.tensor_array = tensor_array + self.inputs_per_library = inputs_per_library + self.exclude_libraries = exclude_libraries @x_sequence_or_item def fit(self, x_full, y=None): @@ -177,21 +150,20 @@ def fit(self, x_full, y=None): self : instance """ n_features = x_full[0].shape[x_full[0].ax_coord] - - if float(__version__[:3]) >= 1.0: - self.n_features_in_ = n_features - else: - self.n_input_features_ = n_features + self.n_features_in_ = n_features # If parameter is not set, use all the inputs - if self.inputs_per_library_ is None: - temp_inputs = np.tile(range(n_features), len(self.libraries_)) - self.inputs_per_library_ = np.reshape( - temp_inputs, (len(self.libraries_), n_features) + if self.inputs_per_library is None: + self.inputs_per_library = list( + repeat(list(range(n_features)), len(self.libraries)) ) else: # Check that the numbers in inputs_per_library are sensible - if np.any(self.inputs_per_library_ >= n_features): + if any( + input_ind >= n_features + for input_list in self.inputs_per_library + for input_ind in input_list + ): raise ValueError( "Each row in inputs_per_library must consist of integers " "between 0 and the number of total input features - 1. " @@ -199,21 +171,19 @@ def fit(self, x_full, y=None): # First fit all libraries separately below, with subset of the inputs fitted_libs = [ - lib.fit( - [x[..., np.unique(self.inputs_per_library_[i, :])] for x in x_full], y - ) - for i, lib in enumerate(self.libraries_) + lib.fit([x[..., _unique(self.inputs_per_library[i])] for x in x_full], y) + for i, lib in enumerate(self.libraries) ] # Next, tensor some libraries and append them to the list - if self.tensor_array_ is not None: - num_tensor_prods = np.shape(self.tensor_array_)[0] + if self.tensor_array is not None: + num_tensor_prods = np.shape(self.tensor_array)[0] for i in range(num_tensor_prods): - lib_inds = np.ravel(np.where(self.tensor_array_[i])) + lib_inds = np.ravel(np.where(self.tensor_array[i])) library_subset = np.asarray(fitted_libs)[lib_inds] library_full = np.prod(library_subset) library_full._set_inputs_per_library( - self.inputs_per_library_[lib_inds, :] + [self.inputs_per_library[lib_ind] for lib_ind in lib_inds] ) library_full.fit(x_full, y) fitted_libs.append(library_full) @@ -222,7 +192,7 @@ def fit(self, x_full, y=None): self.n_output_features_ = sum( lib.n_output_features_ for lib in fitted_libs - if lib not in self.exclude_libs_ + if lib not in self.exclude_libraries ) # Save fitted libs @@ -251,30 +221,24 @@ def transform(self, x_full): xp_full = [] for x in x_full: n_features = x.shape[x.ax_coord] - - if float(__version__[:3]) >= 1.0: - n_input_features = self.n_features_in_ - else: - n_input_features = self.n_input_features_ + n_input_features = self.n_features_in_ if n_features != n_input_features: raise ValueError("x shape does not match training shape") xps = [] for i, lib in enumerate(self.libraries_full_): - if i < self.inputs_per_library_.shape[0]: - if i not in self.exclude_libs_: + if i < len(self.inputs_per_library): + if i not in self.exclude_libraries: xps.append( lib.transform( - [x[..., np.unique(self.inputs_per_library_[i, :])]] + [x[..., _unique(self.inputs_per_library[i])]] )[0] ) else: xps.append(lib.transform([x])[0]) - xp = AxesArray(np.concatenate(xps, axis=xps[0].ax_coord), xps[0].__dict__) + xp = AxesArray(np.concatenate(xps, axis=xps[0].ax_coord), xps[0].axes) xp_full = xp_full + [xp] - if self.library_ensemble: - xp_full = self._ensemble(xp_full) return xp_full def get_feature_names(self, input_features=None): @@ -290,35 +254,34 @@ def get_feature_names(self, input_features=None): ------- output_feature_names : list of string, length n_output_features """ + check_is_fitted(self) feature_names = list() for i, lib in enumerate(self.libraries_full_): - if i not in self.exclude_libs_: - if i < self.inputs_per_library_.shape[0]: + if i not in self.exclude_libraries: + if i < len(self.libraries): if input_features is None: input_features_i = [ - "x%d" % k for k in np.unique(self.inputs_per_library_[i, :]) + "x%d" % k for k in _unique(self.inputs_per_library[i]) ] else: input_features_i = np.asarray(input_features)[ - np.unique(self.inputs_per_library_[i, :]) + _unique(self.inputs_per_library[i]) ].tolist() else: # Tensor libraries need all the inputs and then internally # handle the subsampling of the input variables if input_features is None: - input_features_i = [ - "x%d" % k for k in range(self.inputs_per_library_.shape[1]) - ] + input_features_i = ["x{k}" for k in range(self.n_features_in_)] else: input_features_i = input_features feature_names += lib.get_feature_names(input_features_i) return feature_names def calc_trajectory(self, diff_method, x, t): - return self.libraries_[0].calc_trajectory(diff_method, x, t) + return self.libraries[0].calc_trajectory(diff_method, x, t) def get_spatial_grid(self): - for lib_k in self.libraries_: + for lib_k in self.libraries: spatial_grid = lib_k.get_spatial_grid() if spatial_grid is not None: return spatial_grid diff --git a/pysindy/feature_library/identity_library.py b/pysindy/feature_library/identity_library.py index 17fbf75b6..70d8f231c 100644 --- a/pysindy/feature_library/identity_library.py +++ b/pysindy/feature_library/identity_library.py @@ -1,4 +1,3 @@ -from sklearn import __version__ from sklearn.utils.validation import check_is_fitted from .base import BaseFeatureLibrary @@ -12,22 +11,13 @@ class IdentityLibrary(BaseFeatureLibrary): Attributes ---------- - n_input_features_ : int + n_features_in_ : int The total number of input features. - WARNING: This is deprecated in scikit-learn version 1.0 and higher so - we check the sklearn.__version__ and switch to n_features_in if needed. n_output_features_ : int The total number of output features. The number of output features is equal to the number of input features. - library_ensemble : boolean, optional (default False) - Whether or not to use library bagging (regress on subset of the - candidate terms in the library) - - ensemble_indices : integer array, optional (default [0]) - The indices to use for ensembling the library. - Examples -------- >>> import numpy as np @@ -42,15 +32,6 @@ class IdentityLibrary(BaseFeatureLibrary): ['x0', 'x1'] """ - def __init__( - self, - library_ensemble=False, - ensemble_indices=[0], - ): - super(IdentityLibrary, self).__init__( - library_ensemble=library_ensemble, ensemble_indices=ensemble_indices - ) - def get_feature_names(self, input_features=None): """ Return feature names for output features @@ -66,10 +47,7 @@ def get_feature_names(self, input_features=None): output_feature_names : list of string, length n_output_features """ check_is_fitted(self) - if float(__version__[:3]) >= 1.0: - n_input_features = self.n_features_in_ - else: - n_input_features = self.n_input_features_ + n_input_features = self.n_features_in_ if input_features: if len(input_features) == n_input_features: return input_features @@ -92,10 +70,7 @@ def fit(self, x_full, y=None): self : instance """ n_features = x_full[0].shape[x_full[0].ax_coord] - if float(__version__[:3]) >= 1.0: - self.n_features_in_ = n_features - else: - self.n_input_features_ = n_features + self.n_features_in_ = n_features self.n_output_features_ = n_features return self @@ -118,15 +93,9 @@ def transform(self, x_full): xp_full = [] for x in x_full: n_features = x.shape[x.ax_coord] - - if float(__version__[:3]) >= 1.0: - n_input_features = self.n_features_in_ - else: - n_input_features = self.n_input_features_ + n_input_features = self.n_features_in_ if n_features != n_input_features: raise ValueError("x shape does not match training shape") xp_full = xp_full + [x.copy()] - if self.library_ensemble: - xp_full = self._ensemble(xp_full) return xp_full diff --git a/pysindy/feature_library/parameterized_library.py b/pysindy/feature_library/parameterized_library.py index ce4208cd2..3b1edf13b 100644 --- a/pysindy/feature_library/parameterized_library.py +++ b/pysindy/feature_library/parameterized_library.py @@ -6,49 +6,29 @@ class ParameterizedLibrary(GeneralizedLibrary): - """Construct a SINDyCP library to fit multiple trajectories with variable - control parameters. The library is composed of a tensor product of a - feature library, applied to the input data, and a parameter library, - applied to the input control. If the input libraries are weak, the temporal - derivatives are automatically rescaled by the appropriate domain volumes. + """A tensor product of two libraries with different inputs. + Typically, this is a feature library of the input data and a + parameter library of input control, making the SINDyCP method. If + the input libraries are weak, the temporal derivatives are + automatically rescaled by the appropriate domain volumes. Parameters ---------- - feature_library : BaseFeatureLibrary, optional (default PolynomialLibrary). - Specifies the library function to apply to the input data features. - parameter_library : BaseFeatureLibrary, optional (default PolynomialLibrary). Specifies the library function to apply to the input control features. - num_features : int, optional (default 3) - Specifies the number of features in the input data. + feature_library : BaseFeatureLibrary, optional (default PolynomialLibrary). + Specifies the library function to apply to the input data features. num_parameters : int, optional (default 3) Specifies the number of features in the input control. + num_features : int, optional (default 3) + Specifies the number of features in the input data. + Attributes ---------- - libraries_ : list of libraries - Library instances to be applied to the input matrix. - Equal to [parameter_library,feature_library]. - - tensor_array_ : 2D list of booleans - Indicates which pairs of libraries to tensor product together and - add to the overall library. Equal to [0,1] - - inputs_per_library_ : 2D np.ndarray - Can be used to specify a subset of the variables to use to generate - a feature library. Value determined by num_parameters and num_features. - - n_input_features_ : int - The total number of input features. - WARNING: This is deprecated in scikit-learn version 1.0 and higher so - we check the sklearn.__version__ and switch to n_features_in if needed. - - n_output_features_ : int - The total number of output features. The number of output features - is the sum of the numbers of output features for each of the - concatenated libraries. + see GeneralizedLibrary Examples ---------- @@ -68,54 +48,32 @@ class ParameterizedLibrary(GeneralizedLibrary): def __init__( self, - parameter_library=PolynomialLibrary(degree=1, include_bias=True), - feature_library=PolynomialLibrary(), - num_parameters=3, - num_features=3, - library_ensemble=False, - ensemble_indices=[0], + parameter_library: BaseFeatureLibrary = PolynomialLibrary(degree=1), + feature_library: BaseFeatureLibrary = PolynomialLibrary(), + num_parameters: int = 3, + num_features: int = 3, ): - if not isinstance(feature_library, BaseFeatureLibrary) or not isinstance( - parameter_library, BaseFeatureLibrary - ): - raise ValueError( - "Both feature_library and parameter_library must be instances of \ - BaseFeatureLibrary." - ) - if num_parameters <= 0 or num_features <= 0: raise ValueError("Both num_parameter and num_feature must be positive.") - libraries = [parameter_library, feature_library] - tensor_array = [[1, 1]] - - feature_input = np.zeros(num_features + num_parameters, dtype=np.int32) - feature_input[:num_features] = np.arange(num_features) - - parameter_input = ( - np.ones(num_features + num_parameters, dtype=np.int32) * num_features - ) - parameter_input[-num_parameters:] = num_features + np.arange(num_parameters) - - inputs_per_libraries = np.array([parameter_input, feature_input]) - - super(ParameterizedLibrary, self).__init__( - libraries, - tensor_array=tensor_array, + inputs_per_library = [ + range(num_features, num_parameters + num_features), + range(num_features), + ] + + super().__init__( + libraries=[parameter_library, feature_library], + tensor_array=[[1, 1]], exclude_libraries=[0, 1], - inputs_per_library=inputs_per_libraries, - library_ensemble=library_ensemble, - ensemble_indices=ensemble_indices, + inputs_per_library=inputs_per_library, ) def calc_trajectory(self, diff_method, x, t): # if tensoring weak libraries, add the correction - if hasattr(self.libraries_[0], "K"): - constants_final = np.ones(self.libraries_[0].K) - for k in range(self.libraries_[0].K): - constants_final[k] = np.sum(self.libraries_[0].fullweights0[k]) - return ( - self.libraries_[0].calc_trajectory(diff_method, x, t) - * constants_final[:, np.newaxis] - ) + if hasattr(self.libraries[0], "K"): + constants_final = np.ones(self.libraries[0].K) + for k in range(self.libraries[0].K): + constants_final[k] = np.sum(self.libraries[0].fullweights0[k]) + x, x_int = self.libraries[0].calc_trajectory(diff_method, x, t) + return x, x_int * constants_final[:, np.newaxis] else: - return self.libraries_[0].calc_trajectory(diff_method, x, t) + return self.libraries[0].calc_trajectory(diff_method, x, t) diff --git a/pysindy/feature_library/pde_library.py b/pysindy/feature_library/pde_library.py index af8588b11..bce1b1a48 100644 --- a/pysindy/feature_library/pde_library.py +++ b/pysindy/feature_library/pde_library.py @@ -1,16 +1,15 @@ import warnings -from itertools import combinations -from itertools import combinations_with_replacement as combinations_w_r from itertools import product as iproduct +from typing import Optional import numpy as np -from sklearn import __version__ from sklearn.utils.validation import check_is_fitted from ..utils import AxesArray from ..utils import comprehend_axes from .base import BaseFeatureLibrary from .base import x_sequence_or_item +from .polynomial_library import PolynomialLibrary from pysindy.differentiation import FiniteDifference @@ -19,9 +18,10 @@ class PDELibrary(BaseFeatureLibrary): Parameters ---------- - library_functions : list of mathematical functions, optional (default None) - Functions to include in the library. Each function will be - applied to each input variable (but not their derivatives) + function_library : BaseFeatureLibrary, optional (default + PolynomialLibrary(degree=3,include_bias=False)) + SINDy library with output features representing library_functions to include + in the library, in place of library_functions. derivative_order : int, optional (default 0) Order of derivative to take on each input variable, @@ -33,17 +33,6 @@ class PDELibrary(BaseFeatureLibrary): temporal_grid : np.ndarray, optional (default None) The temporal grid if using SINDy-PI with PDEs. - function_names : list of functions, optional (default None) - List of functions used to generate feature names for each library - function. Each name function must take a string input (representing - a variable name), and output a string depiction of the respective - mathematical function applied to that variable. For example, if the - first library function is sine, the name function might return - :math:`\\sin(x)` given :math:`x` as input. The function_names list - must be the same length as library_functions. - If no list of function names is provided, defaults to using - :math:`[ f_0(x),f_1(x), f_2(x), \\ldots ]`. - interaction_only : boolean, optional (default True) Whether to omit self-interaction terms. If True, function evaulations of the form :math:`f(x,x)` and @@ -64,13 +53,6 @@ class PDELibrary(BaseFeatureLibrary): will consist of only pure no-derivative terms and pure derivative terms, with no mixed terms. - library_ensemble : boolean, optional (default False) - Whether or not to use library bagging (regress on subset of the - candidate terms in the library) - - ensemble_indices : integer array, optional (default [0]) - The indices to use for ensembling the library. - implicit_terms : boolean Flag to indicate if SINDy-PI (temporal derivatives) is being used for the right-hand side of the SINDy fit. @@ -88,17 +70,8 @@ class PDELibrary(BaseFeatureLibrary): Attributes ---------- - functions : list of functions - Mathematical library functions to be applied to each input feature. - - function_names : list of functions - Functions for generating string representations of each library - function. - - n_input_features_ : int + n_features_in_ : int The total number of input features. - WARNING: This is deprecated in scikit-learn version 1.0 and higher so - we check the sklearn.__version__ and switch to n_features_in if needed. n_output_features_ : int The total number of output features. The number of output features @@ -113,16 +86,13 @@ class PDELibrary(BaseFeatureLibrary): def __init__( self, - library_functions=[], + function_library: Optional[BaseFeatureLibrary] = None, derivative_order=0, spatial_grid=None, temporal_grid=None, interaction_only=True, - function_names=None, include_bias=False, include_interaction=True, - library_ensemble=False, - ensemble_indices=[0], implicit_terms=False, multiindices=None, differentiation_method=FiniteDifference, @@ -130,12 +100,8 @@ def __init__( is_uniform=None, periodic=None, ): - super(PDELibrary, self).__init__( - library_ensemble=library_ensemble, ensemble_indices=ensemble_indices - ) - self.functions = library_functions + self.function_library = function_library self.derivative_order = derivative_order - self.function_names = function_names self.interaction_only = interaction_only self.implicit_terms = implicit_terms self.include_bias = include_bias @@ -143,12 +109,8 @@ def __init__( self.num_trajectories = 1 self.differentiation_method = differentiation_method self.diff_kwargs = diff_kwargs - - if function_names and (len(library_functions) != len(function_names)): - raise ValueError( - "library_functions and function_names must have the same" - " number of elements" - ) + if function_library is None: + self.function_library = PolynomialLibrary(degree=3, include_bias=False) if derivative_order < 0: raise ValueError("The derivative order must be >0") @@ -241,12 +203,6 @@ def __init__( spatiotemporal_grid, comprehend_axes(spatiotemporal_grid) ) - @staticmethod - def _combinations(n_features, n_args, interaction_only): - """Get the combinations of features to be passed to a library function.""" - comb = combinations if interaction_only else combinations_w_r - return comb(range(n_features), n_args) - def get_feature_names(self, input_features=None): """Return feature names for output features. @@ -261,45 +217,24 @@ def get_feature_names(self, input_features=None): output_feature_names : list of string, length n_output_features """ check_is_fitted(self) - if float(__version__[:3]) >= 1.0: - n_features = self.n_features_in_ - else: - n_features = self.n_input_features_ + n_features = self.n_features_in_ if input_features is None: input_features = ["x%d" % i for i in range(n_features)] - if self.function_names is None: - self.function_names = list( - map( - lambda i: (lambda *x: "f" + str(i) + "(" + ",".join(x) + ")"), - range(n_features), - ) - ) feature_names = [] + lib_names = [] # Include constant term if self.include_bias: feature_names.append("1") - # Include any non-derivative terms - for i, f in enumerate(self.functions): - for c in self._combinations( - n_features, f.__code__.co_argcount, self.interaction_only - ): - feature_names.append( - self.function_names[i](*[input_features[j] for j in c]) - ) + lib_names = self.function_library.get_feature_names(input_features) + feature_names = feature_names + lib_names def derivative_string(multiindex): ret = "" for axis in range(self.ind_range): - if self.implicit_terms and ( - axis - in [ - self.spatiotemporal_grid.ax_time, - self.spatiotemporal_grid.ax_sample, - ] - ): + if self.implicit_terms and (axis == self.spatiotemporal_grid.ax_time,): str_deriv = "t" else: str_deriv = str(axis + 1) @@ -308,27 +243,30 @@ def derivative_string(multiindex): return ret # Include derivative terms + derivative_feature_names = [] for k in range(self.num_derivatives): for j in range(n_features): - feature_names.append( + derivative_feature_names.append( input_features[j] + "_" + derivative_string(self.multiindices[k]) ) + feature_names = feature_names + derivative_feature_names + # Include mixed non-derivative + derivative terms - if self.include_interaction: - for k in range(self.num_derivatives): - for i, f in enumerate(self.functions): - for c in self._combinations( - n_features, - f.__code__.co_argcount, - self.interaction_only, - ): - for jj in range(n_features): - feature_names.append( - self.function_names[i](*[input_features[j] for j in c]) - + input_features[jj] - + "_" - + derivative_string(self.multiindices[k]) - ) + if ( + self.include_interaction + and len(lib_names) > 0 + and len(derivative_feature_names) > 0 + ): + feature_names = ( + feature_names + + np.char.add( + np.array(lib_names).reshape(1, -1), + np.array(derivative_feature_names).reshape(-1, 1), + ) + .reshape(-1) + .tolist() + ) + return feature_names @x_sequence_or_item @@ -344,21 +282,14 @@ def fit(self, x_full, y=None): ------- self : instance """ - n_features = x_full[0].shape[x_full[0].ax_coord] - - if float(__version__[:3]) >= 1.0: - self.n_features_in_ = n_features - else: - self.n_input_features_ = n_features - + x0 = x_full[0] + n_features = x0.shape[x0.ax_coord] + self.n_features_in_ = n_features n_output_features = 0 + # Count the number of non-derivative terms - n_output_features = 0 - for f in self.functions: - n_args = f.__code__.co_argcount - n_output_features += len( - list(self._combinations(n_features, n_args, self.interaction_only)) - ) + self.function_library.fit(x0.take(0, x0.ax_time)) + n_output_features = self.function_library.n_output_features_ # Add the mixed derivative library_terms if self.include_interaction: @@ -399,12 +330,8 @@ def transform(self, x_full): for x in x_full: n_features = x.shape[x.ax_coord] - if float(__version__[:3]) >= 1.0: - if n_features != self.n_features_in_: - raise ValueError("x shape does not match training shape") - else: - if n_features != self.n_input_features_: - raise ValueError("x shape does not match training shape") + if n_features != self.n_features_in_: + raise ValueError("x shape does not match training shape") shape = np.array(x.shape) shape[-1] = self.n_output_features_ @@ -412,7 +339,7 @@ def transform(self, x_full): # derivative terms shape[-1] = n_features * self.num_derivatives - library_derivatives = np.empty(shape, dtype=x.dtype) + library_derivatives = AxesArray(np.empty(shape, dtype=x.dtype), x.axes) library_idx = 0 for multiindex in self.multiindices: derivs = x @@ -433,22 +360,8 @@ def transform(self, x_full): library_idx += n_features # library function terms - n_library_terms = 0 - for f in self.functions: - for c in self._combinations( - n_features, f.__code__.co_argcount, self.interaction_only - ): - n_library_terms += 1 - - shape[-1] = n_library_terms - library_functions = np.empty(shape, dtype=x.dtype) - library_idx = 0 - for f in self.functions: - for c in self._combinations( - n_features, f.__code__.co_argcount, self.interaction_only - ): - library_functions[..., library_idx] = f(*[x[..., j] for j in c]) - library_idx += 1 + library_functions = self.function_library.fit_transform(x) + n_library_terms = library_functions.shape[-1] library_idx = 0 @@ -476,15 +389,13 @@ def transform(self, x_full): library_idx : library_idx + n_library_terms * self.num_derivatives * n_features, ] = np.reshape( - library_functions[..., np.newaxis, :] - * library_derivatives[..., :, np.newaxis], + library_functions[..., "coord", :] + * library_derivatives[..., :, "coord"], shape, ) library_idx += n_library_terms * self.num_derivatives * n_features xp = AxesArray(xp, comprehend_axes(xp)) xp_full.append(xp) - if self.library_ensemble: - xp_full = self._ensemble(xp_full) return xp_full def get_spatial_grid(self): diff --git a/pysindy/feature_library/sindy_pi_library.py b/pysindy/feature_library/sindy_pi_library.py index 33547fa21..407c67de1 100644 --- a/pysindy/feature_library/sindy_pi_library.py +++ b/pysindy/feature_library/sindy_pi_library.py @@ -6,7 +6,6 @@ from numpy import hstack from numpy import nan_to_num from numpy import ones -from sklearn import __version__ from sklearn.utils.validation import check_is_fitted from ..utils import AxesArray @@ -73,13 +72,6 @@ class SINDyPILibrary(BaseFeatureLibrary): This is hard to do with just lambda functions, because if the system is not 1D, lambdas will generate duplicates. - library_ensemble : boolean, optional (default False) - Whether or not to use library bagging (regress on subset of the - candidate terms in the library) - - ensemble_indices : integer array, optional (default [0]) - The indices to use for ensembling the library. - Attributes ---------- functions : list of functions @@ -89,10 +81,8 @@ class SINDyPILibrary(BaseFeatureLibrary): Functions for generating string representations of each library function. - n_input_features_ : int + n_features_in_ : int The total number of input features. - WARNING: This is deprecated in scikit-learn version 1.0 and higher so - we check the sklearn.__version__ and switch to n_features_in if needed. n_output_features_ : int The total number of output features. The number of output features @@ -148,12 +138,7 @@ def __init__( interaction_only=True, differentiation_method=None, include_bias=False, - library_ensemble=False, - ensemble_indices=[0], ): - super(SINDyPILibrary, self).__init__( - library_ensemble=library_ensemble, ensemble_indices=ensemble_indices - ) self.x_functions = library_functions self.x_dot_functions = x_dot_library_functions self.function_names = function_names @@ -209,10 +194,7 @@ def get_feature_names(self, input_features=None): output_feature_names : list of string, length n_output_features """ check_is_fitted(self) - if float(__version__[:3]) >= 1.0: - n_input_features = self.n_features_in_ - else: - n_input_features = self.n_input_features_ + n_input_features = self.n_features_in_ if input_features is None: input_features = ["x%d" % i for i in range(n_input_features)] x_dot_features = ["x%d_dot" % i for i in range(n_input_features)] @@ -291,10 +273,7 @@ def fit(self, x_full, y=None): """ n_features = x_full[0].shape[x_full[0].ax_coord] - if float(__version__[:3]) >= 1.0: - self.n_features_in_ = n_features - else: - self.n_input_features_ = n_features + self.n_features_in_ = n_features n_x_output_features = 0 n_x_dot_output_features = 0 @@ -372,10 +351,7 @@ def transform(self, x_full): n_samples, n_features = x.shape - if float(__version__[:3]) >= 1.0: - n_input_features = self.n_features_in_ - else: - n_input_features = self.n_input_features_ + n_input_features = self.n_features_in_ if n_features != n_input_features: raise ValueError("x shape does not match training shape") @@ -417,7 +393,6 @@ def transform(self, x_full): f_dot.__code__.co_argcount, self.interaction_only, ): - for i, f in enumerate(self.x_functions): for f_combs in self._combinations( n_input_features, @@ -428,7 +403,5 @@ def transform(self, x_full): *[x[:, comb] for comb in f_combs] ) * f_dot(*[x_dot[:, comb] for comb in f_dot_combs]) library_idx += 1 - xp_full = xp_full + [AxesArray(xp, x.__dict__)] - if self.library_ensemble: - xp_full = self._ensemble(xp_full) + xp_full = xp_full + [AxesArray(xp, x.axes)] return xp_full diff --git a/pysindy/feature_library/weak_pde_library.py b/pysindy/feature_library/weak_pde_library.py index 5c3cdb9ac..edbdce40b 100644 --- a/pysindy/feature_library/weak_pde_library.py +++ b/pysindy/feature_library/weak_pde_library.py @@ -1,17 +1,17 @@ import warnings -from itertools import combinations -from itertools import combinations_with_replacement as combinations_w_r from itertools import product as iproduct +from typing import Optional import numpy as np from scipy.special import binom from scipy.special import perm -from sklearn import __version__ from sklearn.utils.validation import check_is_fitted from ..utils import AxesArray +from ..utils import comprehend_axes from .base import BaseFeatureLibrary from .base import x_sequence_or_item +from .polynomial_library import PolynomialLibrary from pysindy.differentiation import FiniteDifference @@ -38,9 +38,10 @@ class WeakPDELibrary(BaseFeatureLibrary): Parameters ---------- - library_functions : list of mathematical functions, optional (default None) - Functions to include in the library. Each function will be - applied to each input variable (but not their derivatives) + function_library : BaseFeatureLibrary, optional (default + PolynomialLibrary(degree=3,include_bias=False)) + SINDy library with output features representing library_functions to include + in the library, in place of library_functions. derivative_order : int, optional (default 0) Order of derivative to take on each input variable, @@ -52,17 +53,6 @@ class WeakPDELibrary(BaseFeatureLibrary): at least one dimension corresponding to a temporal grid, so that integration by parts can be done in the weak formulation. - function_names : list of functions, optional (default None) - List of functions used to generate feature names for each library - function. Each name function must take a string input (representing - a variable name), and output a string depiction of the respective - mathematical function applied to that variable. For example, if the - first library function is sine, the name function might return - :math:`\\sin(x)` given :math:`x` as input. The function_names list - must be the same length as library_functions. - If no list of function names is provided, defaults to using - :math:`[ f_0(x),f_1(x), f_2(x), \\ldots ]`. - interaction_only : boolean, optional (default True) Whether to omit self-interaction terms. If True, function evaulations of the form :math:`f(x,x)` @@ -99,13 +89,6 @@ class WeakPDELibrary(BaseFeatureLibrary): Positive integer to define the polynomial degree of the spatial weights used for weak/integral SINDy. - library_ensemble : boolean, optional (default False) - Whether or not to use library bagging (regress on subset of the - candidate terms in the library) - - ensemble_indices : integer array, optional (default [0]) - The indices to use for ensembling the library. - num_pts_per_domain : int, deprecated (default None) Included here to retain backwards compatibility with older code that uses this parameter. However, it merely raises a @@ -129,17 +112,8 @@ class WeakPDELibrary(BaseFeatureLibrary): Attributes ---------- - functions : list of functions - Mathematical library functions to be applied to each input feature. - - function_names : list of functions - Functions for generating string representations of each library - function. - - n_input_features_ : int + n_features_in_ : int The total number of input features. - WARNING: This is deprecated in scikit-learn version 1.0 and higher so - we check the sklearn.__version__ and switch to n_features_in if needed. n_output_features_ : int The total number of output features. The number of output features @@ -163,18 +137,15 @@ class WeakPDELibrary(BaseFeatureLibrary): def __init__( self, - library_functions=[], + function_library: Optional[BaseFeatureLibrary] = None, derivative_order=0, spatiotemporal_grid=None, - function_names=None, interaction_only=True, include_bias=False, include_interaction=True, K=100, H_xt=None, p=4, - library_ensemble=False, - ensemble_indices=[0], num_pts_per_domain=None, implicit_terms=False, multiindices=None, @@ -183,12 +154,8 @@ def __init__( is_uniform=None, periodic=None, ): - super(WeakPDELibrary, self).__init__( - library_ensemble=library_ensemble, ensemble_indices=ensemble_indices - ) - self.functions = library_functions + self.function_library = function_library self.derivative_order = derivative_order - self.function_names = function_names self.interaction_only = interaction_only self.implicit_terms = implicit_terms self.include_bias = include_bias @@ -199,17 +166,9 @@ def __init__( self.num_trajectories = 1 self.differentiation_method = differentiation_method self.diff_kwargs = diff_kwargs + if function_library is None: + self.function_library = PolynomialLibrary(degree=3, include_bias=False) - if function_names and (len(library_functions) != len(function_names)): - raise ValueError( - "library_functions and function_names must have the same" - " number of elements" - ) - if library_functions is None and derivative_order == 0: - raise ValueError( - "No library functions were specified, and no " - "derivatives were asked for. The library is empty." - ) if spatiotemporal_grid is None: raise ValueError( "Spatiotemporal grid was not passed, and at least a 1D" @@ -260,7 +219,10 @@ def __init__( self.num_derivatives = num_derivatives self.multiindices = multiindices - self.spatiotemporal_grid = spatiotemporal_grid + + self.spatiotemporal_grid = AxesArray( + spatiotemporal_grid, axes=comprehend_axes(spatiotemporal_grid) + ) # Weak form checks and setup self._weak_form_setup() @@ -270,12 +232,14 @@ def _weak_form_setup(self): L_xt = xt2 - xt1 if self.H_xt is not None: if np.isscalar(self.H_xt): - self.H_xt = np.array(self.grid_ndim * [self.H_xt]) + self.H_xt = AxesArray( + np.array(self.grid_ndim * [self.H_xt]), {"ax_coord": 0} + ) if self.grid_ndim != len(self.H_xt): raise ValueError( "The user-defined grid (spatiotemporal_grid) and " "the user-defined sizes of the subdomains for the " - "weak form, do not have the same # of spatiotemporal " + "weak form do not have the same # of spatiotemporal " "dimensions. For instance, if spatiotemporal_grid is 4D, " "then H_xt should be a 4D list of the subdomain lengths." ) @@ -300,8 +264,8 @@ def _weak_form_setup(self): self._set_up_weights() def _get_spatial_endpoints(self): - x1 = np.zeros(self.grid_ndim) - x2 = np.zeros(self.grid_ndim) + x1 = AxesArray(np.zeros(self.grid_ndim), {"ax_coord": 0}) + x2 = AxesArray(np.zeros(self.grid_ndim), {"ax_coord": 0}) for i in range(self.grid_ndim): inds = [slice(None)] * (self.grid_ndim + 1) for j in range(self.grid_ndim): @@ -321,7 +285,9 @@ def _set_up_weights(self): # Sample the random domain centers xt1, xt2 = self._get_spatial_endpoints() - domain_centers = np.zeros((self.K, self.grid_ndim)) + domain_centers = AxesArray( + np.zeros((self.K, self.grid_ndim)), {"ax_sample": 0, "ax_coord": 1} + ) for i in range(self.grid_ndim): domain_centers[:, i] = np.random.uniform( xt1[i] + self.H_xt[i], xt2[i] - self.H_xt[i], size=self.K @@ -336,15 +302,12 @@ def _set_up_weights(self): s = [0] * (self.grid_ndim + 1) s[i] = slice(None) s[-1] = i - newinds = np.intersect1d( - np.where( - self.spatiotemporal_grid[tuple(s)] - >= domain_centers[k][i] - self.H_xt[i] - ), - np.where( - self.spatiotemporal_grid[tuple(s)] - <= domain_centers[k][i] + self.H_xt[i] - ), + ax_vals = self.spatiotemporal_grid[tuple(s)] + cell_left = domain_centers[k][i] - self.H_xt[i] + cell_right = domain_centers[k][i] + self.H_xt[i] + newinds = AxesArray( + ((ax_vals > cell_left) & (ax_vals < cell_right)).nonzero()[0], + ax_vals.axes, ) # If less than two indices along any axis, resample if len(newinds) < 2: @@ -361,6 +324,7 @@ def _set_up_weights(self): self.inds_k = self.inds_k + [inds] k = k + 1 + # TODO: fix meaning of axes in XT_k # Values of the spatiotemporal grid on the domain cells XT_k = [ self.spatiotemporal_grid[np.ix_(*self.inds_k[k])] for k in range(self.K) @@ -483,12 +447,16 @@ def _set_up_weights(self): ) weights1 = weights1 + [weights2] + # TODO: get rest of code to work with AxesArray. Too unsure of + # which axis labels to use at this point to continue + tweights = [np.asarray(arr) for arr in tweights] + weights0 = [np.asarray(arr) for arr in weights0] + weights1 = [[np.asarray(arr) for arr in sublist] for sublist in weights1] # Product weights over the axes for time derivatives, shaped as inds_k self.fulltweights = [] deriv = np.zeros(self.grid_ndim) deriv[-1] = 1 for k in range(self.K): - ret = np.ones(shapes_k[k]) for i in range(self.grid_ndim): s = [0] * (self.grid_ndim + 1) @@ -501,13 +469,12 @@ def _set_up_weights(self): ) self.fulltweights = self.fulltweights + [ - ret * np.product(H_xt_k[k] ** (1.0 - deriv)) + ret * np.prod(H_xt_k[k] ** (1.0 - deriv)) ] # Product weights over the axes for pure derivative terms, shaped as inds_k self.fullweights0 = [] for k in range(self.K): - ret = np.ones(shapes_k[k]) for i in range(self.grid_ndim): s = [0] * (self.grid_ndim + 1) @@ -519,7 +486,7 @@ def _set_up_weights(self): weights0[i][lefts[i][k] : rights[i][k] + 1], dims ) - self.fullweights0 = self.fullweights0 + [ret * np.product(H_xt_k[k])] + self.fullweights0 = self.fullweights0 + [ret * np.prod(H_xt_k[k])] # Product weights over the axes for mixed derivative terms, shaped as inds_k self.fullweights1 = [] @@ -543,17 +510,9 @@ def _set_up_weights(self): dims, ) - weights2 = weights2 + [ret * np.product(H_xt_k[k] ** (1.0 - deriv))] + weights2 = weights2 + [ret * np.prod(H_xt_k[k] ** (1.0 - deriv))] self.fullweights1 = self.fullweights1 + [weights2] - @staticmethod - def _combinations(n_features, n_args, interaction_only): - """ - Get the combinations of features to be passed to a library function. - """ - comb = combinations if interaction_only else combinations_w_r - return comb(range(n_features), n_args) - def _phi(self, x, d, p): """ One-dimensional polynomial test function (1-x**2)**p, @@ -708,33 +667,18 @@ def get_feature_names(self, input_features=None): output_feature_names : list of string, length n_output_features """ check_is_fitted(self) - if float(__version__[:3]) >= 1.0: - n_features = self.n_features_in_ - else: - n_features = self.n_input_features_ + n_features = self.n_features_in_ if input_features is None: input_features = ["x%d" % i for i in range(n_features)] - if self.function_names is None: - self.function_names = list( - map( - lambda i: (lambda *x: "f" + str(i) + "(" + ",".join(x) + ")"), - range(n_features), - ) - ) feature_names = [] + lib_names = [] # Include constant term if self.include_bias: feature_names.append("1") - # Include any non-derivative terms - for i, f in enumerate(self.functions): - for c in self._combinations( - n_features, f.__code__.co_argcount, self.interaction_only - ): - feature_names.append( - self.function_names[i](*[input_features[j] for j in c]) - ) + lib_names = self.function_library.get_feature_names(input_features) + feature_names = feature_names + lib_names if self.grid_ndim != 0: @@ -762,21 +706,14 @@ def derivative_string(multiindex): # Include mixed non-derivative + integral terms if self.include_interaction: for k in range(self.num_derivatives): - for i, f in enumerate(self.functions): - for c in self._combinations( - n_features, - f.__code__.co_argcount, - self.interaction_only, - ): - for jj in range(n_features): - feature_names.append( - self.function_names[i]( - *[input_features[j] for j in c] - ) - + input_features[jj] - + "_" - + derivative_string(self.multiindices[k]) - ) + for jj in range(n_features): + for lib_name in lib_names: + feature_names.append( + lib_name + + input_features[jj] + + "_" + + derivative_string(self.multiindices[k]) + ) return feature_names @x_sequence_or_item @@ -792,20 +729,14 @@ def fit(self, x_full, y=None): ------- self : instance """ - n_features = x_full[0].shape[x_full[0].ax_coord] - if float(__version__[:3]) >= 1.0: - self.n_features_in_ = n_features - else: - self.n_input_features_ = n_features - + x0 = x_full[0] + n_features = x0.shape[x0.ax_coord] + self.n_features_in_ = n_features n_output_features = 0 # Count the number of non-derivative terms - for f in self.functions: - n_args = f.__code__.co_argcount - n_output_features += len( - list(self._combinations(n_features, n_args, self.interaction_only)) - ) + self.function_library.fit(x0.take(0, x0.ax_time)) + n_output_features = self.function_library.n_output_features_ if self.grid_ndim != 0: # Add the mixed derivative library_terms @@ -854,23 +785,11 @@ def transform(self, x_full): self.x_k = [x[np.ix_(*self.inds_k[k])] for k in range(self.K)] # library function terms - n_library_terms = 0 - for f in self.functions: - for c in self._combinations( - n_features, f.__code__.co_argcount, self.interaction_only - ): - n_library_terms += 1 - library_functions = np.empty((self.K, n_library_terms), dtype=x.dtype) # Evaluate the functions on the indices of domain cells - funcs = np.zeros((*x.shape[:-1], n_library_terms)) - func_idx = 0 - for f in self.functions: - for c in self._combinations( - n_features, f.__code__.co_argcount, self.interaction_only - ): - funcs[..., func_idx] = f(*[x[..., j] for j in c]) - func_idx += 1 + funcs = self.function_library.fit_transform(x) + n_library_terms = funcs.shape[-1] + library_functions = np.empty((self.K, n_library_terms), dtype=x.dtype) # library function terms for k in range(self.K): # loop over domain cells @@ -937,6 +856,8 @@ def transform(self, x_full): self.dfx_k_j = [] for j in range(self.num_derivatives): + funcs_derivs[j + 1] = funcs + x_derivs[j + 1] = x for axis in range(self.ind_range): s = [0] * (self.grid_ndim + 1) s[axis] = slice(None, None, None) @@ -950,7 +871,8 @@ def transform(self, x_full): axis=axis, **self.diff_kwargs, )._differentiate( - funcs, self.spatiotemporal_grid[tuple(s)] + funcs_derivs[j + 1], + self.spatiotemporal_grid[tuple(s)], ) if self.multiindices[j][axis] > 0 and self.multiindices[j][ axis @@ -959,7 +881,9 @@ def transform(self, x_full): d=self.multiindices[j][axis], axis=axis, **self.diff_kwargs, - )._differentiate(x, self.spatiotemporal_grid[tuple(s)]) + )._differentiate( + x_derivs[j + 1], self.spatiotemporal_grid[tuple(s)] + ) # Extract the function and feature derivatives on the domains self.dx_k_j = [ @@ -996,21 +920,20 @@ def transform(self, x_full): for deriv in derivs[ np.where(np.all(derivs <= derivs_mixed, axis=1))[0] ]: + # indices for product rule terms + j0 = np.where(np.all(derivs == deriv, axis=1))[0][0] + j1 = np.where( + np.all(derivs == derivs_mixed - deriv, axis=1) + )[0][0] + j2 = np.where(np.all(derivs == derivs_pure, axis=1))[0][0] + for k in range(self.K): # Weights are either in fullweights0 or fullweights1 - j0 = np.where(np.all(derivs == deriv, axis=1))[0][0] if j0 == 0: weights = self.fullweights0[k] else: weights = self.fullweights1[k][j0 - 1] - # indices for product rule terms - j1 = np.where( - np.all(derivs == derivs_mixed - deriv, axis=1) - )[0][0] - j2 = np.where(np.all(derivs == derivs_pure, axis=1))[0][ - 0 - ] # Calculate the integral by taking the dot product # of the weights and data x_k over each axis. # Integration by parts gives power of (-1). @@ -1025,7 +948,7 @@ def transform(self, x_full): tuple(np.arange(self.grid_ndim)), tuple(np.arange(self.grid_ndim)), ), - ) * np.product( + ) * np.prod( binom(derivs_mixed, deriv) ) # collect the results @@ -1066,10 +989,8 @@ def transform(self, x_full): library_idx += n_library_terms * self.num_derivatives * n_features xp_full = xp_full + [AxesArray(xp, {"ax_sample": 0, "ax_coord": 1})] - if self.library_ensemble: - xp_full = self._ensemble(xp_full) return xp_full def calc_trajectory(self, diff_method, x, t): x_dot = self.convert_u_dot_integral(x) - return AxesArray(x_dot, {"ax_sample": 0, "ax_coord": 1}) + return x, AxesArray(x_dot, {"ax_sample": 0, "ax_coord": 1}) diff --git a/pysindy/optimizers/__init__.py b/pysindy/optimizers/__init__.py index 0f7b997e0..2f538042b 100644 --- a/pysindy/optimizers/__init__.py +++ b/pysindy/optimizers/__init__.py @@ -19,7 +19,11 @@ from .stable_linear_sr3 import StableLinearSR3 except ImportError: pass -from .sindy_optimizer import SINDyOptimizer +try: + from .sbr import SBR +except ImportError: + pass +from .wrapped_optimizer import WrappedOptimizer from .sr3 import SR3 from .ssr import SSR from .stlsq import STLSQ @@ -28,7 +32,7 @@ __all__ = [ "BaseOptimizer", "EnsembleOptimizer", - "SINDyOptimizer", + "WrappedOptimizer", "SR3", "STLSQ", "ConstrainedSR3", @@ -38,4 +42,5 @@ "FROLS", "SINDyPI", "MIOSR", + "SBR", ] diff --git a/pysindy/optimizers/constrained_sr3.py b/pysindy/optimizers/constrained_sr3.py index 300bce897..250a3dcde 100644 --- a/pysindy/optimizers/constrained_sr3.py +++ b/pysindy/optimizers/constrained_sr3.py @@ -300,6 +300,8 @@ def _update_coef_cvxpy(self, xi, cost, var_len, coef_prev, tol): <= self.constraint_rhs[: self.constraint_separation_index] ) prob = cp.Problem(cp.Minimize(cost), constraints) + else: + prob = cp.Problem(cp.Minimize(cost)) prob_clone = deepcopy(prob) # default solver is SCS/OSQP here but switches to ECOS for L2 diff --git a/pysindy/optimizers/frols.py b/pysindy/optimizers/frols.py index 3239aef9c..90673c686 100644 --- a/pysindy/optimizers/frols.py +++ b/pysindy/optimizers/frols.py @@ -22,10 +22,6 @@ class FROLS(BaseOptimizer): Parameters ---------- - fit_intercept : boolean, optional (default False) - Whether to calculate the intercept for this model. If set to false, no - intercept will be used in calculations. - normalize_columns : boolean, optional (default False) Normalize the columns of x (the SINDy library terms) before regression by dividing by the L2-norm. Note that the 'normalize' option in sklearn @@ -84,19 +80,19 @@ class FROLS(BaseOptimizer): def __init__( self, normalize_columns=False, - fit_intercept=False, copy_X=True, kappa=None, max_iter=10, alpha=0.05, ridge_kw=None, verbose=False, + unbias=True, ): - super(FROLS, self).__init__( - fit_intercept=fit_intercept, + super().__init__( copy_X=copy_X, max_iter=max_iter, normalize_columns=normalize_columns, + unbias=unbias, ) self.alpha = alpha self.ridge_kw = ridge_kw diff --git a/pysindy/optimizers/miosr.py b/pysindy/optimizers/miosr.py index 29eabdc11..7b90e2ade 100644 --- a/pysindy/optimizers/miosr.py +++ b/pysindy/optimizers/miosr.py @@ -53,10 +53,6 @@ class MIOSR(BaseOptimizer): optimality (either per dimension or jointly depending on the above sparsity settings). - fit_intercept : boolean, optional (default False) - Whether to calculate the intercept for this model. If set to false, no - intercept will be used in calculations. - constraint_lhs : numpy ndarray, optional (default None) Shape should be (n_constraints, n_features * n_targets), The left hand side matrix C of Cw <= d. @@ -94,6 +90,9 @@ class MIOSR(BaseOptimizer): verbose : bool, optional (default False) If True, prints out the Gurobi solver log. + unbias: bool + Required to be false, maintained for supertype compatibility + Attributes ---------- coef_ : array, shape (n_features,) or (n_targets, n_features) @@ -112,7 +111,6 @@ def __init__( group_sparsity=None, alpha=0.01, regression_timeout=10, - fit_intercept=False, constraint_lhs=None, constraint_rhs=None, constraint_order="target", @@ -120,11 +118,12 @@ def __init__( copy_X=True, initial_guess=None, verbose=False, + unbias=False, ): - super(MIOSR, self).__init__( + super().__init__( normalize_columns=normalize_columns, - fit_intercept=fit_intercept, copy_X=copy_X, + unbias=unbias, ) if target_sparsity is not None and ( @@ -135,7 +134,8 @@ def __init__( raise ValueError("constraint_order must be one of {'target', 'feature'}") if alpha < 0: raise ValueError("alpha cannot be negative") - + if unbias and constraint_lhs is not None: + raise ValueError("MIOSR is incompatible with unbiasing. Set unbias=False") self.target_sparsity = target_sparsity self.group_sparsity = group_sparsity self.constraint_lhs = constraint_lhs @@ -268,3 +268,12 @@ def _reduce(self, x, y): def complexity(self): check_is_fitted(self) return np.count_nonzero(self.coef_) + + def __getstate__(self): + state = self.__dict__.copy() + del state["model"] + return state + + def __setstate__(self, state): + self.__dict__.update(state) + self.model = None diff --git a/pysindy/optimizers/sbr.py b/pysindy/optimizers/sbr.py new file mode 100644 index 000000000..2e304a34c --- /dev/null +++ b/pysindy/optimizers/sbr.py @@ -0,0 +1,204 @@ +from typing import Optional +from typing import Tuple + +import jax.numpy as jnp +import numpy as np +import numpyro +from jax import random +from numpyro.distributions import Exponential +from numpyro.distributions import HalfCauchy +from numpyro.distributions import InverseGamma +from numpyro.distributions import Normal +from numpyro.infer import MCMC +from numpyro.infer import NUTS + +from .base import BaseOptimizer + + +class SBR(BaseOptimizer): + """ + Sparse Bayesian Regression (SBR) optimizer. This uses the regularised + horseshoe prior over the SINDy coefficients to achieve sparsification. + + The horseshoe prior contains a "spike" of nonzero probability at the + origin, and a Student's-T-shaped "slab" of distribution in cases where a + coefficient is nonzero. + + + The SINDy coefficients are set as the posterior means of the MCMC NUTS samples. + Additional statistics can be computed from the MCMC samples stored in + the mcmc attribute using e.g. ArviZ. + + This implementation differs from the method described in Hirsh et al. (2021) + by imposing the error model directly on the derivatives, rather than on the + states, circumventing the need to integrate the equation to evaluate the + posterior density. One consequence of this is that the noise standard + deviation "sigma" is with respect to the derivatives instead of the states + and hence should not be interpreted. + + TODO: Implement the data-generating model described in eq. 2.4 of Hirsh + et al. (2021). This could be achieved using the JAX-based solver "diffrax". + Se discussion in https://github.com/dynamicslab/pysindy/pull/440 for more + details. + + See the following reference for more details: + + Hirsh, S. M., Barajas-Solano, D. A., & Kutz, J. N. (2021). + Sparsifying Priors for Bayesian Uncertainty Quantification in + Model Discovery (arXiv:2107.02107). arXiv. http://arxiv.org/abs/2107.02107 + + Parameters + ---------- + sparsity_coef_tau0 : float, optional (default 0.1) + Sparsity coefficient for regularised horseshoe hyper-prior. Lower + value increases the sparsity of the SINDy coefficients. + + slab_shape_nu : float, optional (default 4) + Along with ``slab_shape_s``, controls tails of nonzero coefficients. + Specifically, degrees of freedom for Student's-T-shaped slab. + Higher values decrease excess kurtosis to zero, lower values >= 4 + increase kurtosis to infinity. + + slab_shape_s : float, optional (default 2) + Along with ``slab_shape_nu``, controls standard deviation of nonzero + coefficients. + + noise_hyper_lambda : float, optional (default 1) + Rate hyperparameter for the exponential prior distribution over + the noise standard deviation. + + num_warmup : int, optional (default 1000) + Number of warmup (or "burnin") MCMC samples to generate. These are + discarded before analysis and are not included in the posterior samples. + + num_samples : int, optional (default 5000) + Number of posterior MCMC samples to generate. + + mcmc_kwargs : dict, optional (default None) + Instructions for MCMC sampling. + Keyword arguments are passed to numpyro.infer.MCMC + + Attributes + ---------- + coef_ : array, shape (n_features,) or (n_targets, n_features) + Posterior means of the SINDy coefficients. + + mcmc_ : numpyro.infer.MCMC + Complete traces of the posterior samples. + """ + + def __init__( + self, + sparsity_coef_tau0: float = 0.1, + slab_shape_nu: float = 4, + slab_shape_s: float = 2, + noise_hyper_lambda: float = 1, + num_warmup: int = 1000, + num_samples: int = 5000, + mcmc_kwargs: Optional[dict] = None, + unbias: bool = False, + **kwargs, + ): + if unbias: + raise ValueError("SBR is incompatible with unbiasing. Set unbias=False") + + super().__init__(unbias=unbias, **kwargs) + + # check that hyperparameters are positive. + if sparsity_coef_tau0 <= 0: + raise ValueError("sparsity_coef_tau0 must be positive") + if slab_shape_nu <= 0: + raise ValueError("slab_shape_nu must be positive") + if slab_shape_s <= 0: + raise ValueError("slab_shape_s must be positive") + if noise_hyper_lambda <= 0: + raise ValueError("noise_hyper_lambda must be positive") + + # check that samples are positive integers. + if not isinstance(num_warmup, int) or num_warmup < 0: + raise ValueError("num_warmup must be a positive integer") + if not isinstance(num_samples, int) or num_samples < 0: + raise ValueError("num_samples must be a positive integer") + + # set the hyperparameters + self.sparsity_coef_tau0 = sparsity_coef_tau0 + self.slab_shape_nu = slab_shape_nu + self.slab_shape_s = slab_shape_s + self.noise_hyper_lambda = noise_hyper_lambda + + # set MCMC sampling parameters. + self.num_warmup = num_warmup + self.num_samples = num_samples + + # set the MCMC kwargs. + if mcmc_kwargs is not None: + self.mcmc_kwargs = mcmc_kwargs + else: + self.mcmc_kwargs = {} + + def _reduce(self, x, y): + # set up a sparse regression and sample. + self.mcmc_ = self._run_mcmc(x, y, **self.mcmc_kwargs) + + # set the mean values as the coefficients. + self.coef_ = np.array(self.mcmc_.get_samples()["beta"].mean(axis=0)) + + def _numpyro_model(self, x, y): + # get the dimensionality of the problem. + n_features = x.shape[1] + n_targets = y.shape[1] + + # sample the horseshoe hyperparameters. + tau = numpyro.sample("tau", HalfCauchy(self.sparsity_coef_tau0)) + c_sq = numpyro.sample( + "c_sq", + InverseGamma( + self.slab_shape_nu / 2, self.slab_shape_nu / 2 * self.slab_shape_s**2 + ), + ) + + # sample the parameters compute the predicted outputs. + beta = _sample_reg_horseshoe(tau, c_sq, (n_targets, n_features)) + mu = jnp.dot(x, beta.T) + + # compute the likelihood. + sigma = numpyro.sample("sigma", Exponential(self.noise_hyper_lambda)) + numpyro.sample("obs", Normal(mu, sigma), obs=y) + + def _run_mcmc(self, x, y, **kwargs): + # set up a jax random key. + seed = kwargs.pop("seed", 0) + rng_key = random.PRNGKey(seed) + + # run the MCMC + kernel = NUTS(self._numpyro_model) + mcmc = MCMC( + kernel, num_warmup=self.num_warmup, num_samples=self.num_samples, **kwargs + ) + mcmc.run(rng_key, x=x, y=y) + + # extract the MCMC samples and compute the UQ-SINDy parameters. + return mcmc + + +def _sample_reg_horseshoe(tau: float, c_sq: float, shape: Tuple[int, ...]): + """Create a regularized horseshoe distribution + + The regularized horseshoe distribution behaves like a horseshoe prior when + shrinkage ``lamb`` is small, but behaves like a gaussian slab of variance + ``c_sq`` when ``lamb`` is big or a Student T-slab when ``c_sq`` is itself + an inverse Gamma. + + For original work, including interpretation of the coefficients, see: + + Piironen, J., and Vehtari, A. (2017). Sparsity Information and + Regularization in the Horseshoe and Other Shrinkage Priors. Electronic Journal + of Statistics Vol. 11 pp 5018-5051. https://doi.org/10.1214/17-EJS1337SI + """ + lamb = numpyro.sample("lambda", HalfCauchy(1.0), sample_shape=shape) + lamb_squiggle = jnp.sqrt(c_sq) * lamb / jnp.sqrt(c_sq + tau**2 * lamb**2) + beta = numpyro.sample( + "beta", + Normal(jnp.zeros_like(lamb_squiggle), jnp.sqrt(lamb_squiggle**2 * tau**2)), + ) + return beta diff --git a/pysindy/optimizers/sindy_optimizer.py b/pysindy/optimizers/sindy_optimizer.py deleted file mode 100644 index 86a54886e..000000000 --- a/pysindy/optimizers/sindy_optimizer.py +++ /dev/null @@ -1,111 +0,0 @@ -import numpy as np -from sklearn.base import BaseEstimator -from sklearn.linear_model import LinearRegression - -from ..utils import AxesArray -from ..utils import drop_nan_samples - -COEF_THRESHOLD = 1e-14 - - -class SINDyOptimizer(BaseEstimator): - """ - Wrapper class for optimizers/sparse regression methods passed - into the SINDy object. - - Enables single target regressors - (i.e. those whose predictions are 1-dimensional) - to perform multi target regression (i.e. predictions are 2-dimensional). - Also enhances an ``_unbias`` function to reduce bias when - regularization is used. - - Parameters - ---------- - optimizer: estimator object - The optimizer/sparse regressor to be wrapped, implementing ``fit`` and - ``predict``. ``optimizer`` should also have the attributes ``coef_``, - ``fit_intercept``, and ``intercept_``. Note that attribute - ``normalize`` is deprecated as of sklearn versions >= 1.0 and will be - removed in future versions. - - unbias : boolean, optional (default True) - Whether to perform an extra step of unregularized linear regression - to unbias the coefficients for the identified support. - For example, if ``optimizer=STLSQ(alpha=0.1)`` is used then the learned - coefficients will be biased toward 0 due to the L2 regularization. - Setting ``unbias=True`` will trigger an additional step wherein - the nonzero coefficients learned by the optimizer object will be - updated using an unregularized least-squares fit. - - """ - - def __init__(self, optimizer, unbias=True): - if not hasattr(optimizer, "fit") or not callable(getattr(optimizer, "fit")): - raise AttributeError("optimizer does not have a callable fit method") - if not hasattr(optimizer, "predict") or not callable( - getattr(optimizer, "predict") - ): - raise AttributeError("optimizer does not have a callable predict method") - - self.optimizer = optimizer - self.unbias = unbias - - def fit(self, x, y): - - x, y = drop_nan_samples( - AxesArray(x, {"ax_sample": 0, "ax_coord": 1}), - AxesArray(y, {"ax_sample": 0, "ax_coord": 1}), - ) - - self.optimizer.fit(x, y) - if not hasattr(self.optimizer, "coef_"): - raise AttributeError("optimizer has no attribute coef_") - self.ind_ = np.abs(self.coef_) > COEF_THRESHOLD - - if self.unbias: - self._unbias(x, y) - - return self - - def _unbias(self, x, y): - coef = np.zeros((y.shape[1], x.shape[1])) - if hasattr(self.optimizer, "fit_intercept"): - fit_intercept = self.optimizer.fit_intercept - else: - fit_intercept = False - for i in range(self.ind_.shape[0]): - if np.any(self.ind_[i]): - coef[i, self.ind_[i]] = ( - LinearRegression(fit_intercept=fit_intercept) - .fit(x[:, self.ind_[i]], y[:, i]) - .coef_ - ) - if self.optimizer.coef_.ndim == 1: - self.optimizer.coef_ = coef[0] - else: - self.optimizer.coef_ = coef - - def predict(self, x): - prediction = self.optimizer.predict(x) - if prediction.ndim == 1: - return prediction[:, np.newaxis] - else: - return prediction - - @property - def coef_(self): - if self.optimizer.coef_.ndim == 1: - return self.optimizer.coef_[np.newaxis, :] - else: - return self.optimizer.coef_ - - @property - def intercept_(self): - if hasattr(self.optimizer, "intercept_"): - return self.optimizer.intercept_ - else: - return 0.0 - - @property - def complexity(self): - return np.count_nonzero(self.coef_) + np.count_nonzero(self.intercept_) diff --git a/pysindy/optimizers/sindy_pi.py b/pysindy/optimizers/sindy_pi.py index c8c49bfce..d4c2a6203 100644 --- a/pysindy/optimizers/sindy_pi.py +++ b/pysindy/optimizers/sindy_pi.py @@ -46,10 +46,6 @@ class SINDyPI(SR3): max_iter : int, optional (default 10000) Maximum iterations of the optimization algorithm. - fit_intercept : boolean, optional (default False) - Whether to calculate the intercept for this model. If set to false, no - intercept will be used in calculations. - normalize_columns : boolean, optional (default False) This parameter normalizes the columns of Theta before the optimization is done. This tends to standardize the columns @@ -87,12 +83,8 @@ class SINDyPI(SR3): Regularized weight vector(s). This is the v in the objective function. - unbias : boolean - Whether to perform an extra step of unregularized linear regression - to unbias the coefficients for the identified support. - ``unbias`` is automatically set to False if a constraint is used and - is otherwise left uninitialized. - + unbias: bool + Required to be false, maintained for supertype compatibility """ def __init__( @@ -101,22 +93,22 @@ def __init__( tol=1e-5, thresholder="l1", max_iter=10000, - fit_intercept=False, copy_X=True, thresholds=None, model_subset=None, normalize_columns=False, verbose_cvxpy=False, + unbias=False, ): - super(SINDyPI, self).__init__( + super().__init__( threshold=threshold, thresholds=thresholds, tol=tol, thresholder=thresholder, max_iter=max_iter, - fit_intercept=fit_intercept, copy_X=copy_X, normalize_columns=normalize_columns, + unbias=unbias, ) if ( @@ -130,7 +122,8 @@ def __init__( " in current version of SINDy-PI" ) - self.unbias = False + if self.unbias: + raise ValueError("SINDyPI is incompatible with an unbiasing step") self.verbose_cvxpy = verbose_cvxpy if model_subset is not None: if not isinstance(model_subset, list): @@ -199,8 +192,9 @@ def _update_parallel_coef_constraints(self, x): ) if xi.value is None: warnings.warn( - "Infeasible solve on iteration " + str(i) + ", try " - "changing your library", + "Infeasible solve on iteration " + + str(i) + + ", try changing your library", ConvergenceWarning, ) xi_final[:, i] = xi.value @@ -216,8 +210,9 @@ def _update_parallel_coef_constraints(self, x): ) if xi.value is None: warnings.warn( - "Infeasible solve on iteration " + str(i) + ", try " - "changing your library", + "Infeasible solve on iteration " + + str(i) + + ", try changing your library", ConvergenceWarning, ) xi_final[:, i] = xi.value diff --git a/pysindy/optimizers/ssr.py b/pysindy/optimizers/ssr.py index e8c9d671d..f5c3d9136 100644 --- a/pysindy/optimizers/ssr.py +++ b/pysindy/optimizers/ssr.py @@ -23,10 +23,6 @@ class SSR(BaseOptimizer): max_iter : int, optional (default 20) Maximum iterations of the optimization algorithm. - fit_intercept : boolean, optional (default False) - Whether to calculate the intercept for this model. If set to false, no - intercept will be used in calculations. - normalize_columns : boolean, optional (default False) Normalize the columns of x (the SINDy library terms) before regression by dividing by the L2-norm. Note that the 'normalize' option in sklearn @@ -94,17 +90,17 @@ def __init__( max_iter=20, ridge_kw=None, normalize_columns=False, - fit_intercept=False, copy_X=True, criteria="coefficient_value", kappa=None, verbose=False, + unbias=True, ): super(SSR, self).__init__( max_iter=max_iter, - fit_intercept=fit_intercept, copy_X=copy_X, normalize_columns=normalize_columns, + unbias=unbias, ) if alpha < 0: diff --git a/pysindy/optimizers/stable_linear_sr3.py b/pysindy/optimizers/stable_linear_sr3.py index 85d055b52..6763ab159 100644 --- a/pysindy/optimizers/stable_linear_sr3.py +++ b/pysindy/optimizers/stable_linear_sr3.py @@ -1,4 +1,7 @@ +from __future__ import annotations + import warnings +from typing import Tuple try: import cvxpy as cp @@ -67,10 +70,6 @@ class StableLinearSR3(ConstrainedSR3): max_iter : int, optional (default 30) Maximum iterations of the optimization algorithm. - fit_intercept : boolean, optional (default False) - Whether to calculate the intercept for this model. If set to false, no - intercept will be used in calculations. - constraint_lhs : numpy ndarray, optional (default None) Shape should be (n_constraints, n_features * n_targets), The left hand side matrix C of Cw <= d. @@ -129,6 +128,8 @@ class StableLinearSR3(ConstrainedSR3): output should be verbose or not. Only relevant for optimizers that use the CVXPY package in some capabity. + See base class for additional arguments + Attributes ---------- coef_ : array, shape (n_features,) or (n_targets, n_features) @@ -138,12 +139,6 @@ class StableLinearSR3(ConstrainedSR3): coef_full_ : array, shape (n_features,) or (n_targets, n_features) Weight vector(s) that are not subjected to the regularization. This is the w in the objective function. - - unbias : boolean - Whether to perform an extra step of unregularized linear regression - to unbias the coefficients for the identified support. - ``unbias`` is automatically set to False if a constraint is used and - is otherwise left uninitialized. """ def __init__( @@ -159,7 +154,6 @@ def __init__( constraint_rhs=None, constraint_order="target", normalize_columns=False, - fit_intercept=False, copy_X=True, initial_guess=None, thresholds=None, @@ -169,8 +163,9 @@ def __init__( verbose=False, verbose_cvxpy=False, gamma=-1e-8, + unbias=False, ): - super(StableLinearSR3, self).__init__( + super().__init__( threshold=threshold, nu=nu, tol=tol, @@ -180,7 +175,6 @@ def __init__( trimming_step_size=trimming_step_size, max_iter=max_iter, initial_guess=initial_guess, - fit_intercept=fit_intercept, copy_X=copy_X, normalize_columns=normalize_columns, verbose=verbose, @@ -191,11 +185,11 @@ def __init__( equality_constraints=equality_constraints, inequality_constraints=inequality_constraints, constraint_separation_index=constraint_separation_index, + unbias=unbias, ) self.gamma = gamma self.alpha_A = nu self.max_iter = max_iter - self.unbias = False warnings.warn( "This optimizer is set up to only be used with a purely linear" " library in the variables. No constant or nonlinear terms!" @@ -207,16 +201,16 @@ def __init__( "datasets." ) - def _update_coef_cvxpy(self, x, y, coef_sparse, coef_negative_definite): - """ - Update the coefficients using CVXPY. This function is called if - the sparsity threshold is nonzero or constraints are used. - """ + def _create_var_and_part_cost( + self, + x: np.ndarray, + y: np.ndarray, + coef_sparse: np.ndarray, + coef_neg_def: np.ndarray, + ) -> Tuple["cp.Variable", "cp.Expression"]: xi = cp.Variable(coef_sparse.shape[0] * coef_sparse.shape[1]) cost = cp.sum_squares(x @ xi - y.flatten()) - cost = cost + cp.sum_squares(xi - coef_negative_definite.flatten()) / ( - 2 * self.nu - ) + cost = cost + cp.sum_squares(xi - coef_neg_def.flatten()) / (2 * self.nu) if self.thresholder.lower() == "l1": cost = cost + self.threshold * cp.norm1(xi) elif self.thresholder.lower() == "weighted_l1": @@ -225,6 +219,16 @@ def _update_coef_cvxpy(self, x, y, coef_sparse, coef_negative_definite): cost = cost + self.threshold * cp.norm2(xi) elif self.thresholder.lower() == "weighted_l2": cost = cost + cp.norm2(np.ravel(self.thresholds) @ xi) + return xi, cost + + def _update_coef_cvxpy(self, x, y, coef_sparse, coef_negative_definite): + """ + Update the coefficients using CVXPY. This function is called if + the sparsity threshold is nonzero or constraints are used. + """ + xi, cost = self._create_var_and_part_cost( + x, y, coef_sparse, coef_negative_definite + ) if self.use_constraints: if self.inequality_constraints and self.equality_constraints: # Process equality constraints then inequality constraints @@ -320,40 +324,24 @@ def _objective( assert trimming_array is not None R2 *= trimming_array.reshape(x.shape[0], 1) - if self.thresholds is None: - regularization = self.reg( - coef_negative_definite, self.threshold**2 / self.nu - ) - if print_ind == 0 and self.verbose: - row = [ - q, - np.sum(R2), - np.sum(D2) / self.nu, - regularization, - np.sum(R2) + np.sum(D2) + regularization, - ] - print( - "{0:10d} ... {1:10.4e} ... {2:10.4e} ... {3:10.4e}" - " ... {4:10.4e}".format(*row) - ) - return 0.5 * np.sum(R2) + 0.5 * regularization + 0.5 * np.sum(D2) / self.nu - else: - regularization = self.reg( - coef_negative_definite, self.thresholds**2 / self.nu + regularization = self.reg( + coef_negative_definite, + (self.threshold**2 if self.thresholds is None else self.thresholds**2) + / self.nu, + ) + if print_ind == 0 and self.verbose: + row = [ + q, + np.sum(R2), + np.sum(D2) / self.nu, + regularization, + np.sum(R2) + np.sum(D2) + regularization, + ] + print( + "{0:10d} ... {1:10.4e} ... {2:10.4e} ... {3:10.4e}" + " ... {4:10.4e}".format(*row) ) - if print_ind == 0 and self.verbose: - row = [ - q, - np.sum(R2), - np.sum(D2) / self.nu, - regularization, - np.sum(R2) + np.sum(D2) + regularization, - ] - print( - "{0:10d} ... {1:10.4e} ... {2:10.4e} ... {3:10.4e}" - " ... {4:10.4e}".format(*row) - ) - return 0.5 * np.sum(R2) + 0.5 * regularization + 0.5 * np.sum(D2) / self.nu + return 0.5 * np.sum(R2) + 0.5 * regularization + 0.5 * np.sum(D2) / self.nu def _reduce(self, x, y): """ @@ -429,9 +417,7 @@ def _reduce(self, x, y): break else: warnings.warn( - "StableLinearSR3._reduce did not converge after {} iterations.".format( - self.max_iter - ), + f"StableLinearSR3 did not converge after {self.max_iter} iterations.", ConvergenceWarning, ) diff --git a/pysindy/optimizers/stlsq.py b/pysindy/optimizers/stlsq.py index 0bc09699a..9cbddd1b0 100644 --- a/pysindy/optimizers/stlsq.py +++ b/pysindy/optimizers/stlsq.py @@ -1,8 +1,10 @@ import warnings +from typing import Union import numpy as np from scipy.linalg import LinAlgWarning from sklearn.exceptions import ConvergenceWarning +from sklearn.linear_model import LinearRegression from sklearn.linear_model import ridge_regression from sklearn.utils.validation import check_is_fitted @@ -42,10 +44,6 @@ class STLSQ(BaseOptimizer): ridge_kw : dict, optional (default None) Optional keyword arguments to pass to the ridge regression. - fit_intercept : boolean, optional (default False) - Whether to calculate the intercept for this model. If set to false, no - intercept will be used in calculations. - normalize_columns : boolean, optional (default False) Normalize the columns of x (the SINDy library terms) before regression by dividing by the L2-norm. Note that the 'normalize' option in sklearn @@ -62,6 +60,11 @@ class STLSQ(BaseOptimizer): verbose : bool, optional (default False) If True, prints out the different error terms every iteration. + sparse_ind : list, optional (default None) + Indices to threshold and perform ridge regression upon. + If None, sparse thresholding and ridge regression is applied to all + indices. + Attributes ---------- coef_ : array, shape (n_features,) or (n_targets, n_features) @@ -103,16 +106,17 @@ def __init__( max_iter=20, ridge_kw=None, normalize_columns=False, - fit_intercept=False, copy_X=True, initial_guess=None, verbose=False, + sparse_ind=None, + unbias=True, ): - super(STLSQ, self).__init__( + super().__init__( max_iter=max_iter, - fit_intercept=fit_intercept, copy_X=copy_X, normalize_columns=normalize_columns, + unbias=unbias, ) if threshold < 0: @@ -125,28 +129,55 @@ def __init__( self.ridge_kw = ridge_kw self.initial_guess = initial_guess self.verbose = verbose + self.sparse_ind = sparse_ind - def _sparse_coefficients(self, dim, ind, coef, threshold): - """Perform thresholding of the weight vector(s)""" + def _sparse_coefficients( + self, dim: int, ind_nonzero: np.ndarray, coef: np.ndarray, threshold: float + ) -> (np.ndarray, np.ndarray): + """Perform thresholding of the weight vector(s) (on specific indices + if ``self.sparse_ind`` is not None)""" c = np.zeros(dim) - c[ind] = coef + c[ind_nonzero] = coef big_ind = np.abs(c) >= threshold + if self.sparse_ind is not None: + nonsparse_ind_mask = np.ones_like(ind_nonzero) + nonsparse_ind_mask[self.sparse_ind] = False + big_ind = big_ind | nonsparse_ind_mask c[~big_ind] = 0 return c, big_ind - def _regress(self, x, y): - """Perform the ridge regression""" + def _regress(self, x: np.ndarray, y: np.ndarray, dim: int, sparse_sub: np.ndarray): + """Perform the ridge regression (on specific indices if + ``self.sparse_ind`` is not None)""" kw = self.ridge_kw or {} - - with warnings.catch_warnings(): - warnings.filterwarnings("ignore", category=LinAlgWarning) - try: - coef = ridge_regression(x, y, self.alpha, **kw) - except LinAlgWarning: - # increase alpha until warning stops - self.alpha = 2 * self.alpha - self.iters += 1 - return coef + if self.sparse_ind is None: + with warnings.catch_warnings(): + warnings.filterwarnings("ignore", category=LinAlgWarning) + try: + coef = ridge_regression(x, y, self.alpha, **kw) + except LinAlgWarning: + # increase alpha until warning stops + self.alpha = 2 * self.alpha + self.iters += 1 + return coef + if self.sparse_ind is not None: + alpha_array = np.zeros((dim, dim)) + alpha_array[sparse_sub, sparse_sub] = np.sqrt(self.alpha) + x_lin = np.concatenate((x, alpha_array), axis=0) + y_lin = np.concatenate((y, np.zeros((dim,)))) + with warnings.catch_warnings(): + warnings.filterwarnings("ignore", category=LinAlgWarning) + try: + coef = ( + LinearRegression(fit_intercept=False, **kw) + .fit(x_lin, y_lin) + .coef_ + ) + except LinAlgWarning: + # increase alpha until warning stops + self.alpha = 2 * self.alpha + self.iters += 1 + return coef def _no_change(self): """Check if the coefficient mask has changed after thresholding""" @@ -171,6 +202,8 @@ def _reduce(self, x, y): n_samples, n_features = x.shape n_targets = y.shape[1] n_features_selected = np.sum(ind) + sparse_sub = [np.array(self.sparse_ind)] * y.shape[1] + optvar = np.zeros((n_targets, n_features)) # Print initial values for each term in the optimization if self.verbose: @@ -192,10 +225,10 @@ def _reduce(self, x, y): "Sparsity parameter is too big ({}) and eliminated all " "coefficients".format(self.threshold) ) - coef = np.zeros((n_targets, n_features)) + optvar = np.zeros((n_targets, n_features)) break - coef = np.zeros((n_targets, n_features)) + optvar = np.zeros((n_targets, n_features)) for i in range(n_targets): if np.count_nonzero(ind[i]) == 0: warnings.warn( @@ -203,18 +236,27 @@ def _reduce(self, x, y): "coefficients".format(self.threshold) ) continue - coef_i = self._regress(x[:, ind[i]], y[:, i]) + coef_i = self._regress( + x[:, ind[i]], y[:, i], np.count_nonzero(ind[i]), sparse_sub[i] + ) coef_i, ind_i = self._sparse_coefficients( n_features, ind[i], coef_i, self.threshold ) - coef[i] = coef_i + if self.sparse_ind is not None: + vals_to_remove = np.intersect1d( + self.sparse_ind, np.where(coef_i == 0) + ) + sparse_sub[i] = _remove_and_decrement( + self.sparse_ind, vals_to_remove + ) + optvar[i] = coef_i ind[i] = ind_i - self.history_.append(coef) + self.history_.append(optvar) if self.verbose: - R2 = np.sum((y - np.dot(x, coef.T)) ** 2) - L2 = self.alpha * np.sum(coef**2) - L0 = np.count_nonzero(coef) + R2 = np.sum((y - np.dot(x, optvar.T)) ** 2) + L2 = self.alpha * np.sum(optvar**2) + L0 = np.count_nonzero(optvar) row = [k, R2, L2, L0, R2 + L2] print( "{0:10d} ... {1:10.4e} ... {2:10.4e} ... {3:10d}" @@ -225,21 +267,18 @@ def _reduce(self, x, y): break else: warnings.warn( - "STLSQ._reduce did not converge after {} iterations.".format( - self.max_iter - ), + "STLSQ did not converge after {self.max_iter} iterations.", ConvergenceWarning, ) - try: - coef - except NameError: - coef = self.coef_ - warnings.warn( - "STLSQ._reduce has no iterations left to determine coef", - ConvergenceWarning, - ) - self.coef_ = coef - self.ind_ = ind + if self.sparse_ind is None: + self.coef_ = optvar + self.ind_ = ind + else: + non_sparse_ind = np.setxor1d(self.sparse_ind, range(n_features)) + self.coef_ = optvar[:, self.sparse_ind] + self.ind_ = ind[:, self.sparse_ind] + self.optvar_non_sparse_ = optvar[:, non_sparse_ind] + self.ind_non_sparse_ = ind[:, non_sparse_ind] @property def complexity(self): @@ -248,3 +287,32 @@ def complexity(self): return np.count_nonzero(self.coef_) + np.count_nonzero( [abs(self.intercept_) >= self.threshold] ) + + def _unbias(self, x: np.ndarray, y: np.ndarray): + if not self.sparse_ind: + return super()._unbias(x, y) + regression_col_mask = np.zeros((y.shape[1], x.shape[1]), dtype=bool) + regression_col_mask[:, self.sparse_ind] = self.ind_ + non_sparse_ind = np.setxor1d(self.sparse_ind, range(x.shape[1])) + regression_col_mask[:, non_sparse_ind] = self.ind_non_sparse_ + + for i in range(self.ind_.shape[0]): + if np.any(self.ind_[i]): + optvar = ( + LinearRegression(fit_intercept=False) + .fit(x[:, regression_col_mask[i]], y[:, i]) + .coef_ + ) + self.coef_[i] = optvar[self.sparse_ind] + self.optvar_non_sparse_[i] = optvar[non_sparse_ind] + + +def _remove_and_decrement( + existing_vals: Union[np.ndarray, list], vals_to_remove: Union[np.ndarray, list] +) -> np.ndarray: + """Remove elements from existing values and decrement the elements + that are greater than the removed elements""" + for s in reversed(vals_to_remove): + existing_vals = np.delete(existing_vals, np.where(s == existing_vals)) + existing_vals = np.where(existing_vals > s, existing_vals - 1, existing_vals) + return existing_vals diff --git a/pysindy/optimizers/trapping_sr3.py b/pysindy/optimizers/trapping_sr3.py index 941aeb3e3..d4dd5924c 100644 --- a/pysindy/optimizers/trapping_sr3.py +++ b/pysindy/optimizers/trapping_sr3.py @@ -63,13 +63,6 @@ class TrappingSR3(ConstrainedSR3): data-driven models of quadratic nonlinear dynamics." arXiv preprint arXiv:2105.01843 (2021). - Zheng, Peng, et al. "A unified framework for sparse relaxed - regularized regression: Sr3." IEEE Access 7 (2018): 1404-1423. - - Champion, Kathleen, et al. "A unified sparse optimization framework - to learn parsimonious physics-informed models from data." - IEEE Access 8 (2020): 169259-169271. - Parameters ---------- eta : @@ -101,7 +94,7 @@ class TrappingSR3(ConstrainedSR3): alpha_A : Determines the step size in the prox-gradient descent over A. - For convergence, need alpha_A <= eta, so typically + For convergence, need alpha_A <= eta, so default alpha_A = eta is used. alpha_m : @@ -123,10 +116,6 @@ class TrappingSR3(ConstrainedSR3): could be straightforwardly implemented, but L0 requires reformulation because of nonconvexity. (default 'L1') - accel : - Whether or not to use accelerated prox-gradient descent for (m, A). - (default False) - m0 : Initial guess for trap center in the optimization. Default None initializes vector elements randomly in [-1, 1]. shape (n_targets) @@ -211,7 +200,6 @@ def __init__( gamma: float = -0.1, tol_m: float = 1e-5, thresholder: str = "l1", - accel: bool = False, m0: Union[NDArray, None] = None, A0: Union[NDArray, None] = None, **kwargs, @@ -222,12 +210,15 @@ def __init__( self._include_bias = _include_bias self._interaction_only = _interaction_only self._n_tgts = _n_tgts + self.mod_matrix = mod_matrix if _n_tgts is None: warnings.warn( "Trapping Optimizer initialized without _n_tgts. It will likely" " be unable to fit data" ) - _n_tgts = 1 + self._n_tgts = 1 + if self.mod_matrix is None: + self.mod_matrix = np.eye(self._n_tgts) if method == "global": if hasattr(kwargs, "constraint_separation_index"): constraint_separation_index = kwargs["constraint_separation_index"] @@ -236,8 +227,9 @@ def __init__( else: constraint_separation_index = 0 constraint_rhs, constraint_lhs = _make_constraints( - _n_tgts, include_bias=_include_bias + self._n_tgts, include_bias=_include_bias ) + constraint_lhs = np.tensordot(constraint_lhs, self.mod_matrix, axes=1) constraint_order = kwargs.pop("constraint_order", "feature") if constraint_order == "target": constraint_lhs = np.transpose(constraint_lhs, [0, 2, 1]) @@ -268,7 +260,6 @@ def __init__( else: raise ValueError(f"Can either use 'global' or 'local' method, not {method}") - self.mod_matrix = mod_matrix self.eps_solver = eps_solver self.m0 = m0 self.A0 = A0 @@ -279,7 +270,6 @@ def __init__( self.beta = beta self.gamma = gamma self.tol_m = tol_m - self.accel = accel self.__post_init_guard() def __post_init_guard(self): @@ -330,8 +320,6 @@ def __post_init_guard(self): raise ValueError("tol and tol_m must be positive") if self.inequality_constraints and self.threshold == 0.0: raise ValueError("Inequality constraints requires threshold!=0") - if self.mod_matrix is None: - self.mod_matrix = np.eye(self._n_tgts) if self.A0 is None: self.A0 = np.diag(self.gamma * np.ones(self._n_tgts)) if self.m0 is None: @@ -460,9 +448,9 @@ def _set_Ptensors( def _update_coef_constraints(self, H, x_transpose_y, P_transpose_A, coef_sparse): """Solves the coefficient update analytically if threshold = 0""" g = x_transpose_y + P_transpose_A / self.eta - inv1 = np.linalg.pinv(H, rcond=1e-15) + inv1 = np.linalg.pinv(H, rcond=1e-10) inv2 = np.linalg.pinv( - self.constraint_lhs.dot(inv1).dot(self.constraint_lhs.T), rcond=1e-15 + self.constraint_lhs.dot(inv1).dot(self.constraint_lhs.T), rcond=1e-10 ) rhs = g.flatten() + self.constraint_lhs.T.dot(inv2).dot( @@ -591,63 +579,34 @@ def _update_coef_nonsparse_rs( def _solve_m_relax_and_split( self, - trap_ctr_prev: Float1D, trap_ctr: Float1D, A: Float2D, coef_sparse: np.ndarray[tuple[NFeat, NTarget], AnyFloat], - tk_previous: float, - ) -> tuple[Float1D, Float2D, float]: + ) -> tuple[Float1D, Float2D]: """Solves the (m, A) algorithm update. TODO: explain the optimization this solves, add good names to variables, and refactor/indirect the if global/local trapping conditionals - Returns the new trap center (m), the new A, and the new acceleration weight + Returns the new trap center (m) and the new A """ - # prox-grad for (A, m) - # Accelerated prox gradient descent + # prox-gradient descent for (A, m) # Calculate projection matrix from Quad terms to As - if self.accel: - tk = (1 + np.sqrt(1 + 4 * tk_previous**2)) / 2.0 - m_partial = trap_ctr + (tk_previous - 1.0) / tk * (trap_ctr - trap_ctr_prev) - tk_previous = tk - if self.method == "global": - mPQ = np.tensordot(m_partial, self.PQ_, axes=([0], [0])) - else: - mPM = np.tensordot(self.PM_, m_partial, axes=([2], [0])) - else: - if self.method == "global": - mPQ = np.tensordot(trap_ctr, self.PQ_, axes=([0], [0])) - else: - mPM = np.tensordot(self.PM_, trap_ctr, axes=([2], [0])) + mPM = np.tensordot(self.PM_, trap_ctr, axes=([2], [0])) + p = np.tensordot(self.mod_matrix, self.PL_ + mPM, axes=([1], [0])) + PW = np.tensordot(p, coef_sparse, axes=([3, 2], [0, 1])) # Calculate As and its quad term components - if self.method == "global": - p = self.PL_ - mPQ - PW = np.tensordot(p, coef_sparse, axes=([3, 2], [0, 1])) - PQW = np.tensordot(self.PQ_, coef_sparse, axes=([4, 3], [0, 1])) - else: - p = np.tensordot(self.mod_matrix, self.PL_ + mPM, axes=([1], [0])) - PW = np.tensordot(p, coef_sparse, axes=([3, 2], [0, 1])) - PMW = np.tensordot(self.PM_, coef_sparse, axes=([4, 3], [0, 1])) - PMW = np.tensordot(self.mod_matrix, PMW, axes=([1], [0])) + PMW = np.tensordot(self.PM_, coef_sparse, axes=([4, 3], [0, 1])) + PMW = np.tensordot(self.mod_matrix, PMW, axes=([1], [0])) # Calculate error in quadratic balance, and adjust trap center A_b = (A - PW) / self.eta - if self.method == "global": - PQWT_PW = np.tensordot(PQW, A_b, axes=([2, 1], [0, 1])) - if self.accel: - trap_new = m_partial - self.alpha_m * PQWT_PW - else: - trap_new = trap_ctr_prev - self.alpha_m * PQWT_PW - else: - PMT_PW = np.tensordot(PMW, A_b, axes=([2, 1], [0, 1])) - if self.accel: - trap_new = m_partial - self.alpha_m * PMT_PW - else: - trap_new = trap_ctr_prev - self.alpha_m * PMT_PW + # PQWT_PW is gradient of some loss in m + PMT_PW = np.tensordot(PMW, A_b, axes=([2, 1], [0, 1])) + trap_new = trap_ctr - self.alpha_m * PMT_PW # Update A A_new = self._update_A(A - self.alpha_A * A_b, PW) - return trap_new, A_new, tk_previous + return trap_new, A_new def _solve_nonsparse_relax_and_split(self, H, xTy, P_transpose_A, coef_prev): """Update for the coefficients if threshold = 0.""" @@ -735,22 +694,16 @@ def _reduce(self, x, y): xTx = np.dot(x_expanded.T, x_expanded) xTy = np.dot(x_expanded.T, y.flatten()) - # if using acceleration - tk_prev = 1 + # keep track of last solution in case method fails trap_prev_ctr = trap_ctr # Begin optimization loop objective_history = [] for k in range(self.max_iter): # update P tensor from the newest trap center - if self.method == "global": - mPQ = np.tensordot(trap_ctr, self.PQ_, axes=([0], [0])) - p = self.PL_ - mPQ - Pmatrix = p.reshape(n_tgts * n_tgts, n_tgts * n_features) - else: - mPM = np.tensordot(self.PM_, trap_ctr, axes=([2], [0])) - p = np.tensordot(self.mod_matrix, self.PL_ + mPM, axes=([1], [0])) - Pmatrix = p.reshape(n_tgts * n_tgts, n_tgts * n_features) + mPM = np.tensordot(self.PM_, trap_ctr, axes=([2], [0])) + p = np.tensordot(self.mod_matrix, self.PL_ + mPM, axes=([1], [0])) + Pmatrix = p.reshape(n_tgts * n_tgts, n_tgts * n_features) self.p_history_.append(p) coef_prev = coef_sparse @@ -768,9 +721,7 @@ def _reduce(self, x, y): coef_sparse = coef_prev break - trap_prev_ctr, trap_ctr, A, tk_prev = self._solve_m_relax_and_split( - trap_prev_ctr, trap_ctr, A, coef_sparse, tk_prev - ) + trap_ctr, A = self._solve_m_relax_and_split(trap_ctr, A, coef_sparse) # If problem over m becomes infeasible, break out of the loop if trap_ctr is None: @@ -796,9 +747,7 @@ def _reduce(self, x, y): break else: warnings.warn( - "TrappingSR3._reduce did not converge after {} iters.".format( - self.max_iter - ), + f"TrappingSR3 did not converge after {self.max_iter} iters.", ConvergenceWarning, ) @@ -863,11 +812,9 @@ def _antisymm_double_constraint( mixed_terms: dict[frozenset[int], int], ) -> Float2D: """Set constraints for coefficients adorning terms like a_i^2 * a_j=0""" - constraint_mat_1 = np.zeros((comb(n_tgts, 2), n_terms, n_tgts)) # a_i^2 * a_j - constraint_mat_2 = np.zeros((comb(n_tgts, 2), n_terms, n_tgts)) # a_i * a_j^2 - for constr_ind, ((tgt_i, tgt_j), mix_term) in zip( - range(n_tgts), mixed_terms.items() - ): + constraint_mat_1 = np.zeros((len(mixed_terms), n_terms, n_tgts)) # a_i^2 * a_j + constraint_mat_2 = np.zeros((len(mixed_terms), n_terms, n_tgts)) # a_i * a_j^2 + for constr_ind, ((tgt_i, tgt_j), mix_term) in enumerate(mixed_terms.items()): constraint_mat_1[constr_ind, mix_term, tgt_i] = 1.0 constraint_mat_1[constr_ind, pure_terms[tgt_i], tgt_j] = 1.0 constraint_mat_2[constr_ind, mix_term, tgt_j] = 1.0 diff --git a/pysindy/optimizers/wrapped_optimizer.py b/pysindy/optimizers/wrapped_optimizer.py new file mode 100644 index 000000000..a4ca9bb93 --- /dev/null +++ b/pysindy/optimizers/wrapped_optimizer.py @@ -0,0 +1,53 @@ +import numpy as np +from sklearn.multioutput import MultiOutputRegressor + +from .base import BaseOptimizer + +COEF_THRESHOLD = 1e-14 + + +class WrappedOptimizer(BaseOptimizer): + """Wrapper class for generic optimizers/sparse regression methods + + Enables single target regressors (i.e. those whose predictions are + 1-dimensional) to perform multi target regression (i.e. predictions + are 2-dimensional). Also allows unbiasing & normalization for + optimizers that would otherwise not include it. + + Args: + optimizer: wrapped optimizer/sparse regression method + + Parameters + ---------- + optimizer: estimator object + The optimizer/sparse regressor to be wrapped, implementing ``fit`` and + ``predict``. ``optimizer`` should also have the attribute ``coef_``. + Any optimizer that supports a ``fit_intercept`` argument should + be initialized to False. + + """ + + def __init__(self, optimizer, *args, **kwargs): + super().__init__(*args, **kwargs) + self.optimizer = MultiOutputRegressor(optimizer) + + def _reduce(self, x, y): + coef_shape = (y.shape[1], x.shape[1]) + self.coef_ = np.zeros(coef_shape) + self.ind_ = np.ones(coef_shape) + self.optimizer.fit(x, y) + coef_list = [ + np.reshape(est.coef_, (-1, coef_shape[1])) + for est in self.optimizer.estimators_ + ] + self.coef_ = np.concatenate(coef_list, axis=0) + self.ind_ = np.abs(self.coef_) > COEF_THRESHOLD + self.intercept_ = 0.0 + return self + + def predict(self, x): + return self.optimizer.predict(x) + + @property + def complexity(self): + return np.count_nonzero(self.coef_) + np.count_nonzero(self.intercept_) diff --git a/pysindy/pysindy.py b/pysindy/pysindy.py index 3a795b0d8..0c9071ea3 100644 --- a/pysindy/pysindy.py +++ b/pysindy/pysindy.py @@ -1,24 +1,21 @@ +import sys import warnings from itertools import product from typing import Collection from typing import Sequence +from typing import Union import numpy as np from scipy.integrate import odeint from scipy.integrate import solve_ivp from scipy.interpolate import interp1d -from scipy.linalg import LinAlgWarning -from sklearn import __version__ from sklearn.base import BaseEstimator -from sklearn.exceptions import ConvergenceWarning from sklearn.metrics import r2_score from sklearn.pipeline import Pipeline from sklearn.utils.validation import check_is_fitted from .differentiation import FiniteDifference from .feature_library import PolynomialLibrary -from .optimizers import EnsembleOptimizer -from .optimizers import SINDyOptimizer try: # Waiting on PEP 690 to lazy import CVXPY from .optimizers import SINDyPI @@ -184,16 +181,6 @@ def fit( t=None, x_dot=None, u=None, - multiple_trajectories=False, - unbias=True, - quiet=False, - ensemble=False, - library_ensemble=False, - replace=True, - n_candidates_to_drop=1, - n_subset=None, - n_models=None, - ensemble_aggregator=None, ): """ Fit a SINDy model. @@ -233,104 +220,20 @@ def fit( for each trajectory. Individual trajectories may contain different numbers of samples. - multiple_trajectories: boolean, optional, (default False) - Whether or not the training data includes multiple trajectories. If - True, the training data must be a list of arrays containing data - for each trajectory. If False, the training data must be a single - array. - - unbias: boolean, optional (default True) - Whether to perform an extra step of unregularized linear regression to - unbias the coefficients for the identified support. - If the optimizer (``self.optimizer``) applies any type of regularization, - that regularization may bias coefficients toward particular values, - improving the conditioning of the problem but harming the quality of the - fit. Setting ``unbias==True`` enables an extra step wherein unregularized - linear regression is applied, but only for the coefficients in the support - identified by the optimizer. This helps to remove the bias introduced by - regularization. - - quiet: boolean, optional (default False) - Whether or not to suppress warnings during model fitting. - - ensemble : boolean, optional (default False) - This parameter is used to allow for "ensembling", i.e. the - generation of many SINDy models (n_models) by choosing a random - temporal subset of the input data (n_subset) for each sparse - regression. This often improves robustness because averages - (bagging) or medians (bragging) of all the models are usually - quite high-performing. The user can also generate "distributions" - of many models, and calculate how often certain library terms - are included in a model. - - library_ensemble : boolean, optional (default False) - This parameter is used to allow for "library ensembling", - i.e. the generation of many SINDy models (n_models) by choosing - a random subset of the candidate library terms to truncate. So, - n_models are generated by solving n_models sparse regression - problems on these "reduced" libraries. Once again, this often - improves robustness because averages (bagging) or medians - (bragging) of all the models are usually quite high-performing. - The user can also generate "distributions" of many models, and - calculate how often certain library terms are included in a model. - - replace : boolean, optional (default True) - If ensemble true, whether or not to time sample with replacement. - - n_candidates_to_drop : int, optional (default 1) - Number of candidate terms in the feature library to drop during - library ensembling. - - n_subset : int, optional (default len(time base)) - Number of time points to use for ensemble - - n_models : int, optional (default 20) - Number of models to generate via ensemble - - ensemble_aggregator : callable, optional (default numpy.median) - Method to aggregate model coefficients across different samples. - This method argument is only used if ``ensemble`` or ``library_ensemble`` - is True. - The method should take in a list of 2D arrays and return a 2D - array of the same shape as the arrays in the list. - Example: :code:`lambda x: np.median(x, axis=0)` - Returns ------- self: a fitted :class:`SINDy` instance """ - if ensemble or library_ensemble: - # DeprecationWarning are ignored by default... - warnings.warn( - "Ensembling arguments are deprecated." - "Use the EnsembleOptimizer class instead.", - UserWarning, - ) if t is None: t = self.t_default - if not multiple_trajectories: + if not _check_multiple_trajectories(x, x_dot, u): x, t, x_dot, u = _adapt_to_multiple_trajectories(x, t, x_dot, u) - multiple_trajectories = True - elif ( - not isinstance(x, Sequence) - or (not isinstance(x_dot, Sequence) and x_dot is not None) - or (not isinstance(u, Sequence) and u is not None) - ): - raise TypeError( - "If multiple trajectories set, x and if included," - "x_dot and u, must be Sequences" - ) x, x_dot, u = _comprehend_and_validate_inputs( x, t, x_dot, u, self.feature_library ) - if (n_models is not None) and n_models <= 0: - raise ValueError("n_models must be a positive integer") - if (n_subset is not None) and n_subset <= 0: - raise ValueError("n_subset must be a positive integer") - if u is None: self.n_control_features_ = 0 else: @@ -340,91 +243,27 @@ def fit( trim_last_point=(self.discrete_time and x_dot is None), ) self.n_control_features_ = u[0].shape[u[0].ax_coord] - x, x_dot = self._process_multiple_trajectories(x, t, x_dot) - - # Set ensemble variables - self.ensemble = ensemble - self.library_ensemble = library_ensemble + x, x_dot = self._process_trajectories(x, t, x_dot) # Append control variables if u is not None: x = [np.concatenate((xi, ui), axis=xi.ax_coord) for xi, ui in zip(x, u)] - if hasattr(self.optimizer, "unbias"): - unbias = self.optimizer.unbias - - # backwards compatibility for ensemble options - if ensemble and n_subset is None: - n_subset = x[0].shape[x[0].ax_time] - if library_ensemble: - self.feature_library.library_ensemble = False - if ensemble and not library_ensemble: - if n_subset is None: - n_sample_tot = np.sum([xi.shape[xi.ax_time] for xi in x]) - n_subset = int(0.6 * n_sample_tot) - optimizer = SINDyOptimizer( - EnsembleOptimizer( - self.optimizer, - bagging=True, - n_subset=n_subset, - n_models=n_models, - ), - unbias=unbias, - ) - self.coef_list = optimizer.optimizer.coef_list - elif not ensemble and library_ensemble: - optimizer = SINDyOptimizer( - EnsembleOptimizer( - self.optimizer, - library_ensemble=True, - n_models=n_models, - ), - unbias=unbias, - ) - self.coef_list = optimizer.optimizer.coef_list - elif ensemble and library_ensemble: - if n_subset is None: - n_sample_tot = np.sum([xi.shape[xi.ax_time] for xi in x]) - n_subset = int(0.6 * n_sample_tot) - optimizer = SINDyOptimizer( - EnsembleOptimizer( - self.optimizer, - bagging=True, - n_subset=n_subset, - n_models=n_models, - library_ensemble=True, - ), - unbias=unbias, - ) - self.coef_list = optimizer.optimizer.coef_list - else: - optimizer = SINDyOptimizer(self.optimizer, unbias=unbias) steps = [ ("features", self.feature_library), ("shaping", SampleConcatter()), - ("model", optimizer), + ("model", self.optimizer), ] x_dot = concat_sample_axis(x_dot) self.model = Pipeline(steps) - action = "ignore" if quiet else "default" - with warnings.catch_warnings(): - warnings.filterwarnings(action, category=ConvergenceWarning) - warnings.filterwarnings(action, category=LinAlgWarning) - warnings.filterwarnings(action, category=UserWarning) - self.model.fit(x, x_dot) - - # New version of sklearn changes attribute name - if float(__version__[:3]) >= 1.0: - self.n_features_in_ = self.model.steps[0][1].n_features_in_ - n_input_features = self.model.steps[0][1].n_features_in_ - else: - self.n_input_features_ = self.model.steps[0][1].n_input_features_ - n_input_features = self.model.steps[0][1].n_input_features_ - self.n_output_features_ = self.model.steps[0][1].n_output_features_ + self.model.fit(x, x_dot) + + self.n_features_in_ = self.feature_library.n_features_in_ + self.n_output_features_ = self.feature_library.n_output_features_ if self.feature_names is None: feature_names = [] - for i in range(n_input_features - self.n_control_features_): + for i in range(self.n_features_in_ - self.n_control_features_): feature_names.append("x" + str(i)) for i in range(self.n_control_features_): feature_names.append("u" + str(i)) @@ -432,7 +271,7 @@ def fit( return self - def predict(self, x, u=None, multiple_trajectories=False): + def predict(self, x, u=None): """ Predict the time derivatives using the SINDy model. @@ -447,17 +286,17 @@ def predict(self, x, u=None, multiple_trajectories=False): must be a list of control variable data from each trajectory. If the model was fit with control variables then u is not optional. - multiple_trajectories: boolean, optional (default False) - If True, x contains multiple trajectories and must be a list of - data from each trajectory. If False, x is a single trajectory. - Returns ------- x_dot: array-like or list of array-like, shape (n_samples, n_input_features) Predicted time derivatives """ - if not multiple_trajectories: + if not _check_multiple_trajectories(x, None, u): x, _, _, u = _adapt_to_multiple_trajectories(x, None, None, u) + multiple_trajectories = False + else: + multiple_trajectories = True + x, _, u = _comprehend_and_validate_inputs(x, 1, None, u, self.feature_library) check_is_fitted(self, "model") @@ -543,16 +382,7 @@ def print(self, lhs=None, precision=3): else: print(lhs[i] + " = " + eqn) - def score( - self, - x, - t=None, - x_dot=None, - u=None, - multiple_trajectories=False, - metric=r2_score, - **metric_kws - ): + def score(self, x, t=None, x_dot=None, u=None, metric=r2_score, **metric_kws): """ Returns a score for the time derivative prediction produced by the model. @@ -581,10 +411,6 @@ def score( must be a list of control variable data from each trajectory. If the model was fit with control variables then u is not optional. - multiple_trajectories: boolean, optional (default False) - If True, x contains multiple trajectories and must be a list of - data from each trajectory. If False, x is a single trajectory. - metric: callable, optional Metric function with which to score the prediction. Default is the R^2 coefficient of determination. @@ -604,19 +430,18 @@ def score( if t is None: t = self.t_default - if not multiple_trajectories: + if not _check_multiple_trajectories(x, x_dot, u): x, t, x_dot, u = _adapt_to_multiple_trajectories(x, t, x_dot, u) - multiple_trajectories = True x, x_dot, u = _comprehend_and_validate_inputs( x, t, x_dot, u, self.feature_library ) - x_dot_predict = self.predict(x, u, multiple_trajectories=multiple_trajectories) + x_dot_predict = self.predict(x, u) if self.discrete_time and x_dot is None: x_dot_predict = [xd[:-1] for xd in x_dot_predict] - x, x_dot = self._process_multiple_trajectories(x, t, x_dot) + x, x_dot = self._process_trajectories(x, t, x_dot) x_dot = concat_sample_axis(x_dot) x_dot_predict = concat_sample_axis(x_dot_predict) @@ -624,7 +449,7 @@ def score( x_dot, x_dot_predict = drop_nan_samples(x_dot, x_dot_predict) return metric(x_dot, x_dot_predict, **metric_kws) - def _process_multiple_trajectories(self, x, t, x_dot): + def _process_trajectories(self, x, t, x_dot): """ Calculate derivatives of input data, iterating through trajectories. @@ -662,15 +487,17 @@ def _process_multiple_trajectories(self, x, t, x_dot): x_dot = [xi[1:] for xi in x] x = [xi[:-1] for xi in x] else: - x_dot = [ - self.feature_library.calc_trajectory( - self.differentiation_method, xi, ti - ) - for xi, ti in _zip_like_sequence(x, t) - ] + x, x_dot = zip( + *[ + self.feature_library.calc_trajectory( + self.differentiation_method, xi, ti + ) + for xi, ti in _zip_like_sequence(x, t) + ] + ) return x, x_dot - def differentiate(self, x, t=None, multiple_trajectories=False): + def differentiate(self, x, t=None): """ Apply the model's differentiation method (:code:`self.differentiation_method`) to data. @@ -685,26 +512,29 @@ def differentiate(self, x, t=None, multiple_trajectories=False): Time step between samples or array of collection times. If None, the default time step ``t_default`` will be used. - multiple_trajectories: boolean, optional (default False) - If True, x contains multiple trajectories and must be a list of - data from each trajectory. If False, x is a single trajectory. - Returns ------- x_dot: array-like or list of array-like, shape (n_samples, n_input_features) Time derivatives computed by using the model's differentiation method """ + warnings.warn( + "SINDy.differentiate is deprecated. " + "Call the differentiation_method parameter" + ) if t is None: t = self.t_default if self.discrete_time: raise RuntimeError("No differentiation implemented for discrete time model") - if not multiple_trajectories: + if not _check_multiple_trajectories(x, None, None): x, t, _, _ = _adapt_to_multiple_trajectories(x, t, None, None) + multiple_trajectories = False + else: + multiple_trajectories = True x, _, _ = _comprehend_and_validate_inputs( x, t, None, None, self.feature_library ) - result = self._process_multiple_trajectories(x, t, None)[1] + result = self._process_trajectories(x, t, None)[1] if not multiple_trajectories: return result[0] return result @@ -720,7 +550,7 @@ def coefficients(self): Equivalent to :math:`\\Xi^\\top` in the literature. """ check_is_fitted(self, "model") - return self.model.steps[-1][1].coef_ + return self.optimizer.coef_ def get_feature_names(self): """ @@ -733,9 +563,7 @@ def get_feature_names(self): library, :code:`self.feature_library`. """ check_is_fitted(self, "model") - return self.model.steps[0][1].get_feature_names( - input_features=self.feature_names - ) + return self.feature_library.get_feature_names(input_features=self.feature_names) def simulate( self, @@ -819,11 +647,7 @@ def check_stop_condition(xi): def check_stop_condition(xi): pass - # New version of sklearn changes attribute name - if float(__version__[:3]) >= 1.0: - x = np.zeros((t, self.n_features_in_ - self.n_control_features_)) - else: - x = np.zeros((t, self.n_input_features_ - self.n_control_features_)) + x = np.zeros((t, self.n_features_in_ - self.n_control_features_)) x[0] = x0 if u is None or self.n_control_features_ == 0: @@ -907,7 +731,7 @@ def complexity(self): """ Complexity of the model measured as the number of nonzero parameters. """ - return self.model.steps[-1][1].complexity + return self.optimizer.complexity def _zip_like_sequence(x, t): @@ -918,23 +742,76 @@ def _zip_like_sequence(x, t): return product(x, [t]) -def _adapt_to_multiple_trajectories(x, t, x_dot, u): - """Adapt model data not already in multiple_trajectories to that format. +def _check_multiple_trajectories(x, x_dot, u) -> bool: + """Determine if data contains multiple trajectories - Arguments: + Args: x: Samples from which to make predictions. - t: Time step between samples or array of collection times. x_dot: Pre-computed derivatives of the samples. u: Control variables Returns: - Tuple of updated x, t, x_dot, u + whether data has multiple trajectories + + Raises: + TypeError if data contains a mix of single/multiple trajectories + ValueError if either data different numbers of trajectories + """ + SequenceOrNone = Union[Sequence, None] + if sys.version_info.minor < 10: + mixed_trajectories = ( + isinstance(x, Sequence) + and ( + not isinstance(x_dot, Sequence) + and x_dot is not None + or not isinstance(u, Sequence) + and u is not None + ) + or isinstance(x_dot, Sequence) + and not isinstance(x, Sequence) + or isinstance(u, Sequence) + and not isinstance(x, Sequence) + ) + else: + mixed_trajectories = ( + isinstance(x, Sequence) + and ( + not isinstance(x_dot, SequenceOrNone) + or not isinstance(u, SequenceOrNone) + ) + or isinstance(x_dot, Sequence) + and not isinstance(x, Sequence) + or isinstance(u, Sequence) + and not isinstance(x, Sequence) + ) + if mixed_trajectories: + raise TypeError( + "If x, x_dot, or u are a Sequence of trajectories, each must be a Sequence" + " of trajectories or None." + ) if isinstance(x, Sequence): - raise ValueError( - "x is a Sequence, but multiple_trajectories not set. " - "Did you mean to set multiple trajectories?" + matching_lengths = (x_dot is None or len(x) == len(x_dot)) and ( + u is None or len(x) == len(u) ) + if not matching_lengths: + raise ValueError("x, x_dot and/or u have mismatched number of trajectories") + return True + return False + + +def _adapt_to_multiple_trajectories(x, t, x_dot, u) -> tuple: + """Adapt model data to that multiple_trajectories. + + Args: + x: Samples from which to make predictions. + t: Time step between samples or array of collection times. + x_dot: Pre-computed derivatives of the samples. + u: Control variables + + Returns: + Tuple of updated x, t, x_dot, u + """ x = [x] if isinstance(t, Collection): t = [t] diff --git a/pysindy/utils/axes.py b/pysindy/utils/axes.py index bad10d55c..25c42db8f 100644 --- a/pysindy/utils/axes.py +++ b/pysindy/utils/axes.py @@ -1,63 +1,369 @@ +""" +A module that defines one external class, AxesArray, to act like a numpy array +but keep track of axis definitions. It aims to allow meaningful replacement +of magic numbers for axis conventions in code. E.g:: + + import numpy as np + + arr = AxesArray(np.ones((2,3,4)), {"ax_time": 0, "ax_spatial": [1, 2]}) + print(arr.axes) + print(arr.ax_time) + print(arr.n_time) + print(arr.ax_spatial) + print(arr.n_spatial) + +Would show:: + + {"ax_time": 0, "ax_spatial": [1, 2]} + 0 + 2 + [1, 2] + [3, 4] + +It is up to the user to handle the ``list[int] | int`` return values, but this +module has several functions to deal with the axes dictionary, internally +referred to as type ``CompatDict[T]``: + +Appending an item to a ``CompatDict[T]`` + :py:func:`compat_dict_append` + +Generating a ``CompatDict[int]`` of axes from list of axes names: + :py:func:`fwd_from_names` + +Create new ``CompatDict[int]`` from this ``AxesArray`` with new axis/axes added: + :py:meth:`AxesArray.insert_axis` + +Create new ``CompatDict[int]`` from this ``AxesArray`` with axis/axes removed: + :py:meth:`AxesArray.remove_axis` + + +.. todo:: + + Add developer documentation here. + +The recommended way to refactor existing code to use AxesArrays is to add them +at the lowest level possible. Enter debug mode and see how long the expected +axes persist throughout array operations. When AxesArray loses track of the +correct axes, re-assign them with an AxesArray constructor (which only uses a +view of the data). + +Starting at the macro level runs the risk of triggering a great deal of errors +from unimplemented functions. +""" +from __future__ import annotations + +import copy +import warnings +from enum import Enum +from typing import Collection +from typing import Dict +from typing import get_args from typing import List +from typing import Literal +from typing import NewType +from typing import Optional +from typing import Sequence +from typing import Tuple +from typing import TypeVar +from typing import Union import numpy as np +from numpy.typing import NDArray from sklearn.base import TransformerMixin HANDLED_FUNCTIONS = {} +AxesWarning = type("AxesWarning", (SyntaxWarning,), {}) +BasicIndexer = Union[slice, int, type(Ellipsis), None, str] +Indexer = Union[BasicIndexer, NDArray, List] +StandardIndexer = Union[slice, int, None, NDArray[np.dtype(int)]] +OldIndex = NewType("OldIndex", int) # Before moving advanced axes adajent +KeyIndex = NewType("KeyIndex", int) +NewIndex = NewType("NewIndex", int) +T = TypeVar("T", bound=int) # TODO: Bind to a non-sequence after type-negation PEP +ItemOrList = Union[T, List[T]] +CompatDict = Dict[str, ItemOrList[T]] + + +class _Sentinels(Enum): + ADV_NAME = object() + ADV_REMOVE = object() + + +class _AxisMapping: + """Convenience wrapper for a two-way map between axis names and indexes.""" + + fwd_map: Dict[str, List[int]] + reverse_map: Dict[int, str] + + def __init__( + self, + axes: dict[str, Union[int, Sequence[int]]], + in_ndim: int, + ): + self.fwd_map = {} + self.reverse_map = {} + + def coerce_sequence(obj): + if isinstance(obj, Sequence): + return sorted(obj) + return [obj] + + for ax_name, ax_ids in axes.items(): + ax_ids = coerce_sequence(ax_ids) + self.fwd_map[ax_name] = ax_ids + for ax_id in ax_ids: + old_name = self.reverse_map.get(ax_id) + if old_name is not None: + raise ValueError(f"Assigned multiple definitions to axis {ax_id}") + if ax_id >= in_ndim: + raise ValueError( + f"Assigned definition to axis {ax_id}, but array only has" + f" {in_ndim} axes" + ) + self.reverse_map[ax_id] = ax_name + if len(self.reverse_map) != in_ndim: + warnings.warn( + f"{len(self.reverse_map)} axes labeled for array with {in_ndim} axes", + AxesWarning, + ) + + @staticmethod + def _compat_axes(in_dict: Dict[str, List[int]]) -> Dict[str, Union[list[int], int]]: + """Like fwd_map, but unpack single-element axis lists""" + axes = {} + for k, v in in_dict.items(): + if len(v) == 1: + axes[k] = v[0] + else: + axes[k] = v + return axes + + @property + def compat_axes(self): + return self._compat_axes(self.fwd_map) + + def remove_axis(self, axis: Union[Collection[int], int, None] = None): + """Create an axes dict from self with specified axis or axes + removed and all greater axes decremented. This can be passed to + the constructor to create a new _AxisMapping + + Arguments: + axis: the axis index or axes indexes to remove. By numpy + ufunc convention, axis=None (default) removes _all_ axes. + """ + if axis is None: + return {} + new_axes = copy.deepcopy(self.fwd_map) + in_ndim = len(self.reverse_map) + if not isinstance(axis, Collection): + axis = [axis] + axis = [ax_id if ax_id >= 0 else (self.ndim + ax_id) for ax_id in axis] + for cum_shift, orig_ax_remove in enumerate(sorted(axis)): + remove_ax_name = self.reverse_map[orig_ax_remove] + curr_ax_remove = orig_ax_remove - cum_shift + if len(new_axes[remove_ax_name]) == 1: + new_axes.pop(remove_ax_name) + else: + new_axes[remove_ax_name].remove(curr_ax_remove) + for old_ax_dec in range(curr_ax_remove + 1, in_ndim - cum_shift): + orig_ax_dec = old_ax_dec + cum_shift + ax_dec_name = self.reverse_map[orig_ax_dec] + new_axes[ax_dec_name].remove(old_ax_dec) + new_axes[ax_dec_name].append(old_ax_dec - 1) + return self._compat_axes(new_axes) + + def insert_axis(self, axis: Union[Collection[int], int], new_name: str): + """Create an axes dict from self with specified axis or axes + added and all greater axes incremented. + + Arguments: + axis: the axis index or axes indexes to add. + + Todo: + May be more efficient to determine final axis-to-axis + mapping, then apply, rather than apply changes after each + axis insert. + """ + new_axes = copy.deepcopy(self.fwd_map) + in_ndim = len(self.reverse_map) + if not isinstance(axis, Collection): + axis = [axis] + for cum_shift, ax in enumerate(sorted(axis)): + if new_name in new_axes.keys(): + new_axes[new_name].append(ax) + else: + new_axes[new_name] = [ax] + for ax_id in range(ax, in_ndim + cum_shift): + ax_name = self.reverse_map[ax_id - cum_shift] + new_axes[ax_name].remove(ax_id) + new_axes[ax_name].append(ax_id + 1) + return self._compat_axes(new_axes) + + @property + def ndim(self): + return len(self.reverse_map) + class AxesArray(np.lib.mixins.NDArrayOperatorsMixin, np.ndarray): """A numpy-like array that keeps track of the meaning of its axes. + Limitations: + + * Not all numpy functions, such as ``np.flatten()``, have an + implementation for ``AxesArray``. In such cases a regular numpy array + is returned. + * For functions that are implemented for `AxesArray`, such as + ``np.reshape()``, use the numpy function rather than the bound + method (e.g. ``arr.reshape``) + * Such functions may raise ``ValueError`` where numpy would not, when + it is impossible to determine the output axis labels. + + Current array function implementations: + + * ``np.concatenate`` + * ``np.reshape`` + * ``np.transpose`` + * ``np.linalg.solve`` + * ``np.einsum`` + * ``np.tensordot`` + + Indexing: + AxesArray supports all of the basic and advanced indexing of numpy + arrays, with the addition that new axes can be inserted with a string + name for the axis. E.g. ``arr = arr[..., "lineno"]`` will add a + length-one axis at the end, along with the properties ``arr.ax_lineno`` + and ``arr.n_lineno``. If ``None`` or ``np.newaxis`` are passed, the + axis is named "unk". + Parameters: - input_array (array-like): the data to create the array. - axes (dict): A dictionary of axis labels to shape indices. - Allowed keys: - - ax_time: int - - ax_coord: int - - ax_sample: int - - ax_spatial: List[int] + input_array: the data to create the array. + axes: A dictionary of axis labels to shape indices. Axes labels must + be of the format "ax_name". indices can be either an int or a + list of ints. + + Attributes: + axes: dictionary of axis name to dimension index/indices + ax_: lookup ax_name in axes + n_: lookup shape of subarray defined by ax_name Raises: - AxesWarning if axes does not match shape of input_array + AxesWarning if axes does not match shape of input_array. + ValueError if assigning the same axis index to multiple meanings or + assigning an axis beyond ndim. + """ - def __new__(cls, input_array, axes): + _ax_map: _AxisMapping + + def __new__(cls, input_array: NDArray, axes: CompatDict[int]): obj = np.asarray(input_array).view(cls) - defaults = { - "ax_time": None, - "ax_coord": None, - "ax_sample": None, - "ax_spatial": [], - } - if axes is None: - return obj - obj.__dict__.update({**defaults, **axes}) + in_ndim = len(input_array.shape) + obj._ax_map = _AxisMapping(axes, in_ndim) return obj - def __array_finalize__(self, obj) -> None: - if obj is None: - return - self.ax_time = getattr(obj, "ax_time", None) - self.ax_coord = getattr(obj, "ax_coord", None) - self.ax_sample = getattr(obj, "ax_sample", None) - self.ax_spatial = getattr(obj, "ax_spatial", []) - @property - def n_spatial(self): - return tuple(self.shape[ax] for ax in self.ax_spatial) + def axes(self): + return self._ax_map.compat_axes @property - def n_time(self): - return self.shape[self.ax_time] if self.ax_time is not None else 1 + def _reverse_map(self): + return self._ax_map.reverse_map @property - def n_sample(self): - return self.shape[self.ax_sample] if self.ax_sample is not None else 1 + def shape(self): + """Shape of array. Unlike numpy ndarray, this is not assignable.""" + return super().shape + + def insert_axis( + self, axis: Union[Collection[int], int], new_name: str + ) -> CompatDict[int]: + """Create the constructor axes dict from this array, with new axis/axes""" + return self._ax_map.insert_axis(axis, new_name) + + def remove_axis(self, axis: Union[Collection[int], int]) -> CompatDict[int]: + """Create the constructor axes dict from this array, without axis/axes""" + return self._ax_map.remove_axis(axis) + + def __getattr__(self, name): + # TODO: replace with structural pattern matching on Oct 2025 (3.9 EOL) + parts = name.split("_", 1) + if parts[0] == "ax": + try: + return self.axes[name] + except KeyError: + raise AttributeError(f"AxesArray has no axis '{name}'") + if parts[0] == "n": + try: + ax_ids = self._ax_map.fwd_map["ax_" + parts[1]] + except KeyError: + raise AttributeError(f"AxesArray has no axis '{name}'") + shape = tuple(self.shape[ax_id] for ax_id in ax_ids) + if len(shape) == 1: + return shape[0] + return shape + raise AttributeError(f"'{type(self)}' object has no attribute '{name}'") + + def __getitem__(self, key: Union[Indexer, Sequence[Indexer]], /): + if isinstance(key, tuple): + base_indexer = tuple(None if isinstance(k, str) else k for k in key) + else: + base_indexer = key + output = super().__getitem__(base_indexer) + if not isinstance(output, AxesArray): + return output # return an element from the array + in_dim = self.shape + key, adv_inds = _standardize_indexer(self, key) + bcast_nd, bcast_start_ax = _determine_adv_broadcasting(key, adv_inds) + if adv_inds: + key = _replace_adv_indexers(key, adv_inds, bcast_start_ax, bcast_nd) + remove_axes, new_axes, adv_names = _apply_indexing(key, self._reverse_map) + new_axes = _rename_broadcast_axes(new_axes, adv_names) + new_map = _AxisMapping( + self._ax_map.remove_axis(remove_axes), len(in_dim) - len(remove_axes) + ) + for insert_counter, (new_ax_ind, new_ax_name) in enumerate(new_axes): + new_map = _AxisMapping( + new_map.insert_axis(new_ax_ind, new_ax_name), + in_ndim=len(in_dim) - len(remove_axes) + (insert_counter + 1), + ) + output._ax_map = new_map + return output - @property - def n_coord(self): - return self.shape[self.ax_coord] if self.ax_coord is not None else 1 + def __array_finalize__(self, obj) -> None: + if obj is None: # explicit construction via super().__new__() + return + # view from numpy array, called in constructor but also tests + if all( + ( + not isinstance(obj, AxesArray), + self.shape == (), + not hasattr(self, "_ax_map"), + ) + ): + self._ax_map = _AxisMapping({}, in_ndim=0) + # required by ravel() and view() used in numpy testing. Also for zeros_like... + elif all( + ( + isinstance(obj, AxesArray), + hasattr(obj, "_ax_map"), + not hasattr(self, "_ax_map"), + self.shape == obj.shape, + ) + ): + self._ax_map = _AxisMapping(obj.axes, obj.ndim) + # Using a poorly-initialized AxesArray + # Occurs in MaskedArray.ravel, used in some plotting. MaskedArray views + # of AxesArray lose the axes attributes, and then the _ax_map attributes. + # See numpy.ma.core:asanyarray + elif all( + ( + isinstance(obj, AxesArray), + not hasattr(obj, "_ax_map"), + ) + ): + self._ax_map = _AxisMapping({"ax_unk": 0}, in_ndim=1) + # maybe add errors for incompatible views? def __array_ufunc__( self, ufunc, method, *inputs, out=None, **kwargs @@ -87,27 +393,35 @@ def __array_ufunc__( return if ufunc.nout == 1: results = (results,) - results = tuple( - (AxesArray(np.asarray(result), self.__dict__) if output is None else output) - for result, output in zip(results, outputs) - ) + if method == "reduce" and ( + "keepdims" not in kwargs.keys() or kwargs["keepdims"] is False + ): + axes = None + if kwargs["axis"] is not None: + axes = self._ax_map.remove_axis(axis=kwargs["axis"]) + else: + axes = self.axes + final_results = [] + for result, output in zip(results, outputs): + if output is not None: + final_results.append(output) + elif axes is None: + final_results.append(result) + else: + final_results.append(AxesArray(np.asarray(result), axes)) + results = tuple(final_results) return results[0] if len(results) == 1 else results def __array_function__(self, func, types, args, kwargs): if func not in HANDLED_FUNCTIONS: - arr = super(AxesArray, self).__array_function__(func, types, args, kwargs) - if isinstance(arr, np.ndarray): - return AxesArray(arr, axes=self.__dict__) - elif arr is not None: - return arr - return + return super(AxesArray, self).__array_function__(func, types, args, kwargs) if not all(issubclass(t, AxesArray) for t in types): return NotImplemented return HANDLED_FUNCTIONS[func](*args, **kwargs) -def implements(numpy_function): - """Register an __array_function__ implementation for MyArray objects.""" +def _implements(numpy_function): + """Register an __array_function__ implementation for AxesArray objects.""" def decorator(func): HANDLED_FUNCTIONS[numpy_function] = func @@ -116,21 +430,391 @@ def decorator(func): return decorator -@implements(np.concatenate) -def concatenate(arrays, axis=0): +@_implements(np.ravel) +def ravel(a, order="C"): + out = np.ravel(np.asarray(a), order=order) + is_1d_already = len(a.shape) == 1 + if is_1d_already: + return AxesArray(out, a.axes) + else: + return AxesArray(out, {"ax_unk": 0}) + + +@_implements(np.ix_) +def ix_(*args: AxesArray): + calc = np.ix_(*(np.asarray(arg) for arg in args)) + ax_names = [list(arr.axes)[0] for arr in args] + axes = fwd_from_names(ax_names) + return tuple(AxesArray(arr, axes) for arr in calc) + + +@_implements(np.concatenate) +def concatenate(arrays, axis=0, out=None, dtype=None, casting="same_kind"): parents = [np.asarray(obj) for obj in arrays] - ax_list = [obj.__dict__ for obj in arrays if isinstance(obj, AxesArray)] + ax_list = [obj.axes for obj in arrays if isinstance(obj, AxesArray)] for ax1, ax2 in zip(ax_list[:-1], ax_list[1:]): if ax1 != ax2: - raise TypeError("Concatenating >1 AxesArray with incompatible axes") - return AxesArray(np.concatenate(parents, axis), axes=ax_list[0]) + raise ValueError("Concatenating >1 AxesArray with incompatible axes") + result = np.concatenate(parents, axis, out=out, dtype=dtype, casting=casting) + if isinstance(out, AxesArray): + out._ax_map = _AxisMapping(ax_list[0], in_ndim=result.ndim) + return AxesArray(result, axes=ax_list[0]) + + +@_implements(np.reshape) +def reshape(a: AxesArray, newshape: int | tuple[int], order="C"): + """Gives a new shape to an array without changing its data. + + Args: + a: Array to be reshaped + newshape: int or tuple of ints + The new shape should be compatible with the original shape. In + addition, the axis labels must make sense when the data is + translated to a new shape. Currently, the only use case supported + is to flatten an outer product of two or more axes with the same + label and size. + order: Must be "C" + """ + if order != "C": + raise ValueError("AxesArray only supports reshaping in 'C' order currently.") + out = np.reshape(np.asarray(a), newshape, order) # handle any regular errors + + new_axes = {} + if isinstance(newshape, int): + newshape = [newshape] + newshape = list(newshape) + explicit_new_size = np.multiply.reduce(np.array(newshape)) + if explicit_new_size < 0: + replace_ind = newshape.index(-1) + newshape[replace_ind] = a.size // (-1 * explicit_new_size) + + curr_base = 0 + for curr_new in range(len(newshape)): + if curr_base >= a.ndim: + raise ValueError( + "Cannot reshape an AxesArray this way. Adding a length-1 axis at" + f" dimension {curr_new} not understood." + ) + base_name = a._ax_map.reverse_map[curr_base] + if a.shape[curr_base] == newshape[curr_new]: + compat_dict_append(new_axes, base_name, curr_new) + curr_base += 1 + elif newshape[curr_new] == 1: + raise ValueError( + f"Cannot reshape an AxesArray this way. Inserting a new axis at" + f" dimension {curr_new} of new shape is not supported" + ) + else: # outer product + remaining = newshape[curr_new] + while remaining > 1: + if a._ax_map.reverse_map[curr_base] != base_name: + raise ValueError( + "Cannot reshape an AxesArray this way. It would combine" + f" {base_name} with {a._ax_map.reverse_map[curr_base]}" + ) + remaining, error = divmod(remaining, a.shape[curr_base]) + if error: + raise ValueError( + f"Cannot reshape an AxesArray this way. Array dimension" + f" {curr_base} has size {a.shape[curr_base]}, must divide into" + f" newshape dimension {curr_new} with size" + f" {newshape[curr_new]}." + ) + curr_base += 1 + + compat_dict_append(new_axes, base_name, curr_new) + + return AxesArray(out, axes=new_axes) + + +@_implements(np.transpose) +def transpose(a: AxesArray, axes: Optional[Union[Tuple[int], List[int]]] = None): + """Returns an array with axes transposed. + + Args: + a: input array + axes: As the numpy function + """ + out = np.transpose(np.asarray(a), axes) + if axes is None: + axes = range(a.ndim)[::-1] + new_axes = {} + old_reverse = a._ax_map.reverse_map + for new_ind, old_ind in enumerate(axes): + compat_dict_append(new_axes, old_reverse[old_ind], new_ind) + + return AxesArray(out, new_axes) + + +@_implements(np.einsum) +def einsum( + subscripts: str, *operands: AxesArray, out: Optional[NDArray] = None, **kwargs +) -> AxesArray: + calc = np.einsum( + subscripts, *(np.asarray(arr) for arr in operands), out=out, **kwargs + ) + try: + # explicit mode + lscripts, rscript = subscripts.split("->") + except ValueError: + # implicit mode + lscripts = subscripts + rscript = "".join( + sorted(c for c in set(subscripts) if subscripts.count(c) == 1 and c != ",") + ) + # 0-dimensional case, may just be better to check type of "calc": + if rscript == "": + return calc + + # assemble output reverse map + allscript_names = _label_einsum_scripts(lscripts, operands) + out_names = [] + + for char in rscript.replace("...", "."): + if char == ".": + for script_names in allscript_names: + out_names += script_names.get("...", []) + else: + ax_names = [] + for script_names in allscript_names: + ax_names += script_names.get(char, []) + ax_name = "ax_" + _join_unique_names(ax_names) + out_names.append(ax_name) + + out_axes = fwd_from_names(out_names) + if isinstance(out, AxesArray): + out._ax_map = _AxisMapping(out_axes, calc.ndim) + return AxesArray(calc, axes=out_axes) + + +def _join_unique_names(l_of_s: List[str]) -> str: + ordered_uniques = dict.fromkeys(l_of_s).keys() + return "_".join( + ax_name[3:] if ax_name[:3] == "ax_" else ax_name for ax_name in ordered_uniques + ) + + +def _label_einsum_scripts( + lscripts: List[str], operands: tuple[AxesArray] +) -> List[dict[str, str]]: + """Create a list of what axis name each script refers to in its operand.""" + allscript_names: List[Dict[str, List[str]]] = [] + for lscr, op in zip(lscripts.split(","), operands): + script_names: Dict[str, List[str]] = {} + allscript_names.append(script_names) + # handle script ellipses + try: + ell_ind = lscr.index("...") + ell_width = op.ndim - (len(lscr) - 3) + ell_expand = range(ell_ind, ell_ind + ell_width) + ell_names = [op._ax_map.reverse_map[ax_ind] for ax_ind in ell_expand] + script_names["..."] = ell_names + except ValueError: + ell_ind = len(lscr) + ell_width = 0 + # handle script non-ellipsis chars + shift = 0 + for ax_ind, char in enumerate(lscr): + if char == ".": + shift += 1 + continue + if ax_ind < ell_ind: + scr_name = op._ax_map.reverse_map[ax_ind] + else: + scr_name = op._ax_map.reverse_map[ax_ind - 3 + ell_width] + compat_dict_append(script_names, char, [scr_name]) + return allscript_names + + +@_implements(np.linalg.solve) +def linalg_solve(a: AxesArray, b: AxesArray) -> AxesArray: + result = np.linalg.solve(np.asarray(a), np.asarray(b)) + a_rev = a._ax_map.reverse_map + a_names = [a_rev[k] for k in sorted(a_rev)] + contracted_axis_name = a_names[-1] + b_rev = b._ax_map.reverse_map + b_names = [b_rev[k] for k in sorted(b_rev)] + match_axes_list = a_names[:-1] + start = max(b.ndim - a.ndim, 0) + end = start + len(match_axes_list) + align = slice(start, end) + if match_axes_list != b_names[align]: + raise ValueError("Mismatch in operand axis names when aligning A and b") + all_names = ( + b_names[: align.stop - 1] + [contracted_axis_name] + b_names[align.stop :] + ) + axes = fwd_from_names(all_names) + return AxesArray(result, axes) + + +@_implements(np.tensordot) +def tensordot( + a: AxesArray, b: AxesArray, axes: Union[int, Sequence[Sequence[int]]] = 2 +) -> AxesArray: + sub = _tensordot_to_einsum(a.ndim, b.ndim, axes) + return einsum(sub, a, b) + + +def _tensordot_to_einsum( + a_ndim: int, b_ndim: int, axes: Union[int, Sequence[Sequence[int]]] +) -> str: + lc_ord = range(97, 123) + sub_a = "".join([chr(code) for code in lc_ord[:a_ndim]]) + if isinstance(axes, int): + axes = [range(-axes, 0), range(0, axes)] + sub_b_li = [chr(code) for code in lc_ord[a_ndim : a_ndim + b_ndim]] + if np.array(axes).max() > 26: + raise ValueError("Too many axes") + for a_ind, b_ind in zip(*axes): + sub_b_li[b_ind] = sub_a[a_ind] + sub_b = "".join(sub_b_li) + sub = f"{sub_a},{sub_b}" + return sub + + +def _standardize_indexer( + arr: np.ndarray, key: Indexer | Sequence[Indexer] +) -> tuple[Sequence[StandardIndexer], tuple[KeyIndex, ...]]: + """Convert any legal numpy indexer to a "standard" form. + + Standard form involves creating an equivalent indexer that is a tuple with + one element per index of the original axis. All advanced indexer elements + are converted to numpy arrays, and boolean arrays are converted to + integer arrays with obj.nonzero(). + + Returns: + A tuple of the normalized indexer as well as the indexes of + advanced indexers + """ + if isinstance(key, tuple): + key = list(key) + else: + key = [key] + + if not any(ax_key is Ellipsis for ax_key in key): + key = [*key, Ellipsis] + + new_key: List[Indexer] = [] + for ax_key in key: + if not isinstance(ax_key, get_args(BasicIndexer)): + ax_key = np.array(ax_key) + if ax_key.dtype == np.dtype(np.bool_): + new_key += ax_key.nonzero() + continue + new_key.append(ax_key) + + new_key = _expand_indexer_ellipsis(new_key, arr.ndim) + # Can't identify position of advanced indexers before expanding ellipses + adv_inds: List[KeyIndex] = [] + for key_ind, ax_key in enumerate(new_key): + if isinstance(ax_key, np.ndarray): + adv_inds.append(KeyIndex(key_ind)) + + return new_key, tuple(adv_inds) + + +def _expand_indexer_ellipsis(key: List[Indexer], ndim: int) -> List[Indexer]: + """Replace ellipsis in indexers with the appropriate amount of slice(None)""" + # [...].index errors if list contains numpy array + ellind = [ind for ind, val in enumerate(key) if val is ...][0] + n_new_dims = sum(ax_key is None or isinstance(ax_key, str) for ax_key in key) + n_ellipsis_dims = ndim - (len(key) - n_new_dims - 1) + new_key = key[:ellind] + key[ellind + 1 :] + new_key = new_key[:ellind] + (n_ellipsis_dims * [slice(None)]) + new_key[ellind:] + return new_key + + +def _determine_adv_broadcasting( + key: Sequence[StandardIndexer], adv_inds: Sequence[OldIndex] +) -> tuple[int, Optional[KeyIndex]]: + """Calculate the shape and location for the result of advanced indexing.""" + adjacent = all(i + 1 == j for i, j in zip(adv_inds[:-1], adv_inds[1:])) + adv_indexers = [np.array(key[i]) for i in adv_inds] + bcast_nd = np.broadcast(*adv_indexers).nd + bcast_start_axis = 0 if not adjacent else min(adv_inds) if adv_inds else None + return bcast_nd, KeyIndex(bcast_start_axis) + + +def _rename_broadcast_axes( + new_axes: List[tuple[int, None | str | Literal[_Sentinels.ADV_NAME]]], + adv_names: List[str], +) -> List[tuple[int, str]]: + """Normalize sentinel and NoneType names""" + + def _calc_bcast_name(*names: str) -> str: + if not names: + return "" + if all(a == b for a, b in zip(names[1:], names[:-1])): + return names[0] + names = [name[3:] for name in dict.fromkeys(names)] # ordered deduplication + return "ax_" + "_".join(names) + + bcast_name = _calc_bcast_name(*adv_names) + renamed_axes = [] + for ax_ind, ax_name in new_axes: + if ax_name is None: + renamed_axes.append((ax_ind, "ax_unk")) + elif ax_name is _Sentinels.ADV_NAME: + renamed_axes.append((ax_ind, bcast_name)) + else: + renamed_axes.append((ax_ind, "ax_" + ax_name)) + return renamed_axes + + +def _replace_adv_indexers( + key: Sequence[StandardIndexer], + adv_inds: List[int], + bcast_start_ax: int, + bcast_nd: int, +) -> tuple[ + Union[None, str, int, Literal[_Sentinels.ADV_NAME], Literal[_Sentinels.ADV_REMOVE]], + ..., +]: + for adv_ind in adv_inds: + key[adv_ind] = _Sentinels.ADV_REMOVE + key = key[:bcast_start_ax] + bcast_nd * [_Sentinels.ADV_NAME] + key[bcast_start_ax:] + return key + + +def _apply_indexing( + key: tuple[StandardIndexer], reverse_map: Dict[int, str] +) -> tuple[ + List[int], List[tuple[int, None | str | Literal[_Sentinels.ADV_NAME]]], List[str] +]: + """Determine where axes should be removed and added + + Only considers the basic indexers in key. Numpy arrays are treated as + slices, in that they don't affect the final dimensions of the output + """ + remove_axes = [] + new_axes = [] + adv_names = [] + deleted_to_left = 0 + added_to_left = 0 + for key_ind, indexer in enumerate(key): + if isinstance(indexer, int) or indexer is _Sentinels.ADV_REMOVE: + orig_arr_axis = key_ind - added_to_left + if indexer is _Sentinels.ADV_REMOVE: + adv_names.append(reverse_map[orig_arr_axis]) + remove_axes.append(orig_arr_axis) + deleted_to_left += 1 + elif ( + indexer is None + or indexer is _Sentinels.ADV_NAME + or isinstance(indexer, str) + ): + new_arr_axis = key_ind - deleted_to_left + new_axes.append((new_arr_axis, indexer)) + added_to_left += 1 + return remove_axes, new_axes, adv_names def comprehend_axes(x): axes = {} axes["ax_coord"] = len(x.shape) - 1 axes["ax_time"] = len(x.shape) - 2 - axes["ax_spatial"] = list(range(len(x.shape) - 2)) + if x.ndim > 2: + axes["ax_spatial"] = list(range(len(x.shape) - 2)) return axes @@ -152,13 +836,15 @@ def concat_sample_axis(x_list: List[AxesArray]): """Concatenate all trajectories and axes used to create samples.""" new_arrs = [] for x in x_list: - sample_axes = ( - x.ax_spatial - + ([x.ax_time] if x.ax_time is not None else []) - + ([x.ax_sample] if x.ax_sample is not None else []) - ) + sample_ax_names = ("ax_spatial", "ax_time", "ax_sample") + sample_ax_inds = [] + for name in sample_ax_names: + ax_inds = getattr(x, name, []) + if isinstance(ax_inds, int): + ax_inds = [ax_inds] + sample_ax_inds += ax_inds new_axes = {"ax_sample": 0, "ax_coord": 1} - n_samples = np.prod([x.shape[ax] for ax in sample_axes]) + n_samples = np.prod([x.shape[ax] for ax in sample_ax_inds]) arr = AxesArray(x.reshape((n_samples, x.shape[x.ax_coord])), new_axes) new_arrs.append(arr) return np.concatenate(new_arrs, axis=new_arrs[0].ax_sample) @@ -173,3 +859,29 @@ def wrap_axes(axes: dict, obj): except KeyError: pass return obj + + +def compat_dict_append( + compat_dict: CompatDict[T], + key: str, + item_or_list: ItemOrList[T], +) -> None: + """Add an element or list of elements to a dictionary, preserving old values""" + try: + prev_val = compat_dict[key] + except KeyError: + compat_dict[key] = item_or_list + return + if not isinstance(item_or_list, list): + item_or_list = [item_or_list] + if not isinstance(prev_val, list): + prev_val = [prev_val] + compat_dict[key] = prev_val + item_or_list + + +def fwd_from_names(names: List[str]) -> CompatDict[int]: + """Create mapping of name: axis or name: [ax_1, ax_2, ...]""" + fwd_map: Dict[str, Sequence[int]] = {} + for ax_ind, name in enumerate(names): + compat_dict_append(fwd_map, name, [ax_ind]) + return fwd_map diff --git a/pysindy/utils/base.py b/pysindy/utils/base.py index 7c6c5b25c..114916e7f 100644 --- a/pysindy/utils/base.py +++ b/pysindy/utils/base.py @@ -1,3 +1,4 @@ +import warnings from itertools import repeat from typing import Sequence @@ -6,6 +7,8 @@ from sklearn.base import MultiOutputMixin from sklearn.utils.validation import check_array +from .axes import AxesArray + # Define a special object for the default value of t in # validate_input. Normally we would set the default # value of t to be None, but it is possible for the user @@ -89,29 +92,31 @@ def validate_no_reshape(x, t=T_DEFAULT): return x -def validate_control_variables(x, u, trim_last_point=False): +def validate_control_variables( + x: Sequence[AxesArray], u: Sequence[AxesArray], trim_last_point: bool = False +) -> None: """Ensure that control variables u are compatible with the data x. - Trims last control variable timepoint if set to True + Args: + x: trajectories of system variables + u: trajectories of control variables + trim_last_point: whether to remove last time point of controls """ if not isinstance(x, Sequence): - raise ValueError("x must be a list when multiple_trajectories is True") + raise ValueError("x must be a Sequence") if not isinstance(u, Sequence): - raise ValueError("u must be a list when multiple_trajectories is True") + raise ValueError("u must be a Sequence") if len(x) != len(u): - raise ValueError( - "x and u must be lists of the same length when " - "multiple_trajectories is True" - ) + raise ValueError("x and u must be the same length") def _check_control_shape(x, u, trim_last_point): """ Compare shape of control variable u against x. """ - if u.shape[u.ax_time] != x.shape[x.ax_time]: + if u.n_time != x.n_time: raise ValueError( - "control variables u must have same number of rows as x. " - "u has {} rows and x has {} rows".format(u.shape[0], len(x)) + "control variables u must have same number of time points as x. " + f"u has {u.n_time} time points and x has {x.n_time} time points" ) return u[:-1] if trim_last_point else u @@ -121,7 +126,7 @@ def _check_control_shape(x, u, trim_last_point): def drop_nan_samples(x, y): - """Drops samples from x and y where there is either has a nan value""" + """Drops samples from x and y where either has a nan value""" x_non_sample_axes = tuple(ax for ax in range(x.ndim) if ax != x.ax_sample) y_non_sample_axes = tuple(ax for ax in range(y.ndim) if ax != y.ax_sample) x_good_samples = (~np.isnan(x)).any(axis=x_non_sample_axes) @@ -132,24 +137,17 @@ def drop_nan_samples(x, y): return x, y -def reorder_constraints(c, n_features, output_order="row"): - """Reorder constraint matrix.""" - ret = c.copy() - - if ret.ndim == 1: - ret = ret.reshape(1, -1) - - n_targets = ret.shape[1] // n_features - shape = (n_targets, n_features) - - if output_order == "row": - for i in range(ret.shape[0]): - ret[i] = ret[i].reshape(shape).flatten(order="F") +def reorder_constraints(arr, n_features, output_order="feature"): + """Switch between 'feature' and 'target' constraint order.""" + warnings.warn("Target format constraints are deprecated.", stacklevel=2) + n_constraints = arr.shape[0] if arr.ndim > 1 else 1 + n_tgt = arr.size // n_features // n_constraints + if output_order == "feature": + starting_shape = (n_constraints, n_tgt, n_features) else: - for i in range(ret.shape[0]): - ret[i] = ret[i].reshape(shape, order="F").flatten() + starting_shape = (n_constraints, n_features, n_tgt) - return ret + return arr.reshape(starting_shape).transpose([0, 2, 1]).reshape((n_constraints, -1)) def prox_l0(x, threshold): diff --git a/pysindy/utils/odes.py b/pysindy/utils/odes.py index eb2b93ea0..fd2be0bbf 100644 --- a/pysindy/utils/odes.py +++ b/pysindy/utils/odes.py @@ -334,6 +334,7 @@ def burgers_galerkin(sigma=0.1, nu=0.025, U=1.0): # Below this line are models only suitable for SINDy-PI, since they are implicit # # and therefore require a library Theta(X, Xdot) rather than just Theta(X) # + # Michaelis–Menten model for enzyme kinetics def enzyme(t, x, jx=0.6, Vmax=1.5, Km=0.3): return jx - Vmax * x / (Km + x) diff --git a/requirements.txt b/requirements.txt deleted file mode 100644 index 8d4a756ce..000000000 --- a/requirements.txt +++ /dev/null @@ -1,6 +0,0 @@ -scikit-learn>=0.23 -numpy -scipy -derivative -matplotlib -cmake diff --git a/setup.py b/setup.py deleted file mode 100644 index f881007cb..000000000 --- a/setup.py +++ /dev/null @@ -1,52 +0,0 @@ -import pathlib -import sys - -from setuptools import find_packages -from setuptools import setup - - -assert sys.version_info >= (3, 7, 0), "PySINDy requires Python 3.7+" - -NAME = "pysindy" -DESCRIPTION = "Sparse Identification of Nonlinear Dynamics" -URL = "https://github.com/dynamicslab/pysindy" -EMAIL = "bdesilva@uw.edu, kpchamp@uw.edu, info@markusqua.de, akaptano@uw.edu" -AUTHOR = "Brian de Silva, Kathleen Champion, Markus Quade, Alan Kaptanoglu" -PYTHON = ">=3.7" -LICENSE = "MIT" -CLASSIFIERS = [ - "Programming Language :: Python", - "Programming Language :: Python :: 3.7", - "Programming Language :: Python :: 3.8", - "Development Status :: 5 - Production/Stable", - "Intended Audience :: Science/Research", - "License :: OSI Approved :: MIT License", - "Topic :: Scientific/Engineering :: Mathematics", -] - -here = pathlib.Path(__file__).parent - -with open(here / "requirements.txt", "r") as f: - REQUIRED = f.readlines() - -with open(here / "README.rst", "r") as f: - LONG_DESCRIPTION = f.read() - - -setup( - name=NAME, - use_scm_version=True, - setup_requires=["setuptools_scm", "setuptools_scm_git_archive"], - description=DESCRIPTION, - long_description=LONG_DESCRIPTION, - long_description_content_type="text/x-rst", - author=AUTHOR, - author_email=EMAIL, - url=URL, - packages=find_packages(exclude=["test", "examples"]), - install_requires=REQUIRED, - python_requires=PYTHON, - extras_require={"miosr": ["gurobipy"]}, - license=LICENSE, - classifiers=CLASSIFIERS, -) diff --git a/test/conftest.py b/test/conftest.py index b63d344d0..59fb61f74 100644 --- a/test/conftest.py +++ b/test/conftest.py @@ -44,24 +44,23 @@ def pytest_generate_tests(metafunc): ) -@pytest.fixture +@pytest.fixture(scope="session") def data_1d(): - t = np.linspace(0, 5, 100) + t = np.linspace(0, 1, 10) x = 2 * t.reshape(-1, 1) return x, t -@pytest.fixture +@pytest.fixture(scope="session") def data_1d_bad_shape(): - t = np.linspace(0, 5, 100) + t = np.linspace(0, 5, 10) x = 2 * t return x, t -@pytest.fixture +@pytest.fixture(scope="session") def data_lorenz(): - - t = np.linspace(0, 5, 500) + t = np.linspace(0, 1, 12) x0 = [8, 27, -7] x = solve_ivp(lorenz, (t[0], t[-1]), x0, t_eval=t).y.T @@ -87,7 +86,7 @@ def data_multiple_trajectories(): return x_list, t_list -@pytest.fixture +@pytest.fixture(scope="session") def diffuse_multiple_trajectories(): def diffuse(t, u, dx, nx): u = np.reshape(u, nx) @@ -96,10 +95,10 @@ def diffuse(t, u, dx, nx): # Required for accurate solve_ivp results integrator_keywords = {} - integrator_keywords["rtol"] = 1e-12 + integrator_keywords["rtol"] = 1e-8 integrator_keywords["method"] = "LSODA" - integrator_keywords["atol"] = 1e-12 - N = 200 + integrator_keywords["atol"] = 1e-8 + N = 25 h0 = 1.0 L = 5 T = 1 @@ -109,23 +108,16 @@ def diffuse(t, u, dx, nx): y0 = np.reshape( h0 + ep * np.cos(4 * np.pi / L * x) + ep * np.cos(2 * np.pi / L * x), N ) - y1 = np.reshape( - h0 + ep * np.cos(4 * np.pi / L * x) - ep * np.cos(2 * np.pi / L * x), N - ) dx = x[1] - x[0] sol1 = solve_ivp( diffuse, (t[0], t[-1]), y0=y0, t_eval=t, args=(dx, N), **integrator_keywords ) - sol2 = solve_ivp( - diffuse, (t[0], t[-1]), y0=y1, t_eval=t, args=(dx, N), **integrator_keywords - ) - u = [np.reshape(sol1.y, (N, N, 1)), np.reshape(sol2.y, (N, N, 1))] + u = [np.reshape(sol1.y, (N, N, 1))] return t, x, u -@pytest.fixture +@pytest.fixture(scope="session") def data_discrete_time(): - n_steps = 100 mu = 3.6 x = np.zeros((n_steps)) @@ -136,9 +128,8 @@ def data_discrete_time(): return x -@pytest.fixture +@pytest.fixture(scope="session") def data_discrete_time_multiple_trajectories(): - n_steps = 100 mus = [1, 2.3, 3.6] x = [np.zeros((n_steps)) for mu in mus] @@ -150,7 +141,7 @@ def data_discrete_time_multiple_trajectories(): return x -@pytest.fixture +@pytest.fixture(scope="session") def data_1d_random_pde(): n = 100 t = np.linspace(0, 10, n) @@ -161,7 +152,7 @@ def data_1d_random_pde(): return t, x, u, u_dot -@pytest.fixture +@pytest.fixture(scope="session") def data_2d_random_pde(): n = 4 t = np.linspace(0, 10, n) @@ -175,7 +166,7 @@ def data_2d_random_pde(): return spatial_grid, u, u_dot -@pytest.fixture +@pytest.fixture(scope="session") def data_3d_random_pde(): n = 4 t = np.linspace(0, 10, n) @@ -195,7 +186,7 @@ def data_3d_random_pde(): return spatial_grid, u, u_dot -@pytest.fixture +@pytest.fixture(scope="session") def data_5d_random_pde(): n = 4 t = np.linspace(0, n, n) @@ -213,7 +204,7 @@ def data_5d_random_pde(): return spatial_grid, u, u_dot -@pytest.fixture +@pytest.fixture(scope="session") def data_2d_resolved_pde(): n = 8 nt = 1000 @@ -228,14 +219,14 @@ def data_2d_resolved_pde(): return spatial_grid, u, u_dot -@pytest.fixture +@pytest.fixture(scope="session") def data_derivative_1d(): x = 2 * np.linspace(1, 100, 100) x_dot = 2 * np.ones(100) return x, x_dot -@pytest.fixture +@pytest.fixture(scope="session") def data_derivative_quasiperiodic_1d(): t = np.arange(1000) * 2 * np.pi / 1000 x = 2 * np.sin(t) @@ -243,7 +234,7 @@ def data_derivative_quasiperiodic_1d(): return t, x, x_dot -@pytest.fixture +@pytest.fixture(scope="session") def data_derivative_2d(): x = np.zeros((100, 2)) x[:, 0] = 2 * np.linspace(1, 100, 100) @@ -255,7 +246,7 @@ def data_derivative_2d(): return x, x_dot -@pytest.fixture +@pytest.fixture(scope="session") def data_derivative_quasiperiodic_2d(): t = np.arange(1000) * 2 * np.pi / 1000 x = np.zeros((1000, 2)) @@ -267,7 +258,7 @@ def data_derivative_quasiperiodic_2d(): return t, x, x_dot -@pytest.fixture +@pytest.fixture(scope="session") def data_2dspatial(): u = np.zeros((100, 50, 2)) x = np.linspace(1, 100, 100) @@ -279,7 +270,7 @@ def data_2dspatial(): @pytest.fixture -def data_custom_library(): +def custom_library(): library_functions = [ lambda x: x, lambda x: x**2, @@ -299,7 +290,7 @@ def data_custom_library(): @pytest.fixture -def data_custom_library_bias(): +def custom_library_bias(): library_functions = [ lambda x: x, lambda x: x**2, @@ -321,70 +312,21 @@ def data_custom_library_bias(): @pytest.fixture -def data_quadratic_library_with_bias(): - library_functions = [ - lambda x: x, - lambda x, y: x * y, - lambda x: x**2, - ] - function_names = [ - lambda x: str(x), - lambda x, y: "{} * {}".format(x, y), - lambda x: "{}^2".format(x), - ] - return CustomLibrary( - library_functions=library_functions, - function_names=function_names, - include_bias=True, - ) - - -@pytest.fixture -def data_quadratic_library(): - library_functions = [ - lambda x: x, - lambda x, y: x * y, - lambda x: x**2, - ] - function_names = [ - lambda x: str(x), - lambda x, y: "{} * {}".format(x, y), - lambda x: "{}^2".format(x), - ] - return CustomLibrary( - library_functions=library_functions, function_names=function_names - ) - - -@pytest.fixture -def data_generalized_library(): +def generalized_library(): tensor_array = [[1, 1]] - inputs_temp = np.tile([0, 1, 2], 2) - inputs_per_library = np.reshape(inputs_temp, (2, 3)) return GeneralizedLibrary( [PolynomialLibrary(), FourierLibrary()], tensor_array=tensor_array, - inputs_per_library=inputs_per_library, ) @pytest.fixture -def data_sindypi_library(): - library_functions = [ - lambda x: x, - lambda x: x**2, - lambda x, y: x * y, - ] - function_names = [ - lambda s: str(s), - lambda s: str(s) + "^2", - lambda s, t: str(s) + " " + str(t), - ] - t = np.linspace(0, 5, 500) +def sindypi_library(data_lorenz): + function_library = PolynomialLibrary(degree=2, include_bias=False) + _, t = data_lorenz return PDELibrary( - library_functions=library_functions, - function_names=function_names, + function_library=function_library, temporal_grid=t, implicit_terms=True, derivative_order=1, @@ -392,47 +334,27 @@ def data_sindypi_library(): @pytest.fixture -def data_ode_library(): - library_functions = [ - lambda x: x, - lambda x: x**2, - lambda x, y: x * y, - ] - function_names = [ - lambda s: str(s), - lambda s: str(s) + "^2", - lambda s, t: str(s) + " " + str(t), - ] +def ode_library(): + function_library = PolynomialLibrary(degree=2, include_bias=False) return PDELibrary( - library_functions=library_functions, - function_names=function_names, + function_library=function_library, ) @pytest.fixture -def data_pde_library(): - spatial_grid = np.linspace(0, 10, 500) - library_functions = [ - lambda x: x, - lambda x: x**2, - lambda x, y: x * y, - ] - function_names = [ - lambda s: str(s), - lambda s: str(s) + "^2", - lambda s, t: str(s) + " " + str(t), - ] +def pde_library(data_lorenz): + _, spatial_grid = data_lorenz + function_library = PolynomialLibrary(degree=2, include_bias=False) return PDELibrary( - library_functions=library_functions, - function_names=function_names, + function_library=function_library, spatial_grid=spatial_grid, derivative_order=4, ) -@pytest.fixture +@pytest.fixture(scope="session") def data_linear_oscillator_corrupted(): t = np.linspace(0, 1, 100) x = 3 * np.exp(-2 * t) @@ -451,11 +373,12 @@ def data_linear_oscillator_corrupted(): return X, X_dot, trimming_array -@pytest.fixture +@pytest.fixture(scope="session") def data_linear_combination(): - t = np.linspace(0, 5, 100) - x = np.stack((np.exp(t), np.sin(t), np.cos(t)), axis=-1) - y = np.stack((x[:, 0] + x[:, 1], x[:, 1] + x[:, 2]), axis=-1) + t = np.linspace(0, 3, 100).reshape((-1, 1)) + lib = PolynomialLibrary(2, include_bias=False) + x = lib.fit_transform(np.hstack([t, -2 * t, 3 * t])) + y = np.stack((x[:, 0] + x[:, 1], x[:, 1] + x[:, 2], x[:, 0] + x[:, 2]), axis=-1) return x, y @@ -463,7 +386,7 @@ def data_linear_combination(): # Datasets with control inputs -@pytest.fixture +@pytest.fixture(scope="session") def data_lorenz_c_1d(): def u_fun(t): if len(np.shape(t)) == 0: @@ -471,7 +394,7 @@ def u_fun(t): else: return np.column_stack([np.sin(2 * t), np.zeros(len(t))]) - t = np.linspace(0, 5, 500) + t = np.linspace(0, 1, 100) x0 = [8, 27, -7] x = solve_ivp(lorenz_control, (t[0], t[-1]), x0, t_eval=t, args=(u_fun,)).y.T u = u_fun(t) @@ -479,12 +402,12 @@ def u_fun(t): return x, t, u, u_fun -@pytest.fixture +@pytest.fixture(scope="session") def data_lorenz_c_2d(): def u_fun(t): return np.column_stack([np.sin(2 * t), t**2]) - t = np.linspace(0, 5, 500) + t = np.linspace(0, 1, 100) x0 = [8, 27, -7] x = solve_ivp(lorenz_control, (t[0], t[-1]), x0, t_eval=t, args=(u_fun,)).y.T u = u_fun(t) @@ -492,9 +415,8 @@ def u_fun(t): return x, t, u, u_fun -@pytest.fixture +@pytest.fixture(scope="session") def data_discrete_time_c(): - n_steps = 100 mu = 3.6 @@ -508,9 +430,8 @@ def data_discrete_time_c(): return x, u -@pytest.fixture +@pytest.fixture(scope="session") def data_discrete_time_c_multivariable(): - n_steps = 100 mu = 3.6 @@ -525,9 +446,8 @@ def data_discrete_time_c_multivariable(): return x, u -@pytest.fixture +@pytest.fixture(scope="session") def data_discrete_time_multiple_trajectories_c(): - n_steps = 100 mus = [1, 2.3, 3.6] u = [0.001 * np.random.randn(n_steps) for mu in mus] diff --git a/test/property_tests/test_optimizers_complexity.py b/test/property_tests/test_optimizers_complexity.py deleted file mode 100644 index e0fce4481..000000000 --- a/test/property_tests/test_optimizers_complexity.py +++ /dev/null @@ -1,115 +0,0 @@ -import pytest -from hypothesis import assume -from hypothesis import given -from hypothesis import settings -from hypothesis.strategies import integers -from numpy.random import randint -from numpy.random import seed -from sklearn.datasets import make_regression -from sklearn.linear_model import ElasticNet -from sklearn.linear_model import Lasso -from sklearn.linear_model import LinearRegression -from sklearn.linear_model import Ridge - -from pysindy.optimizers import SINDyOptimizer -from pysindy.optimizers import SR3 -from pysindy.optimizers import STLSQ - - -@given( - n_samples=integers(min_value=100, max_value=10000), - n_features=integers(min_value=10, max_value=30), - n_informative=integers(min_value=3, max_value=9), - random_state=integers(min_value=0, max_value=2**32 - 1), -) -@settings(max_examples=20, deadline=None) -def test_complexity(n_samples, n_features, n_informative, random_state): - """ - Behaviour test for complexity. - We assume that more regularized optimizers are - less complex on the same dataset. - """ - assume(n_informative < n_features) - - # Average complexity over multiple datasets - n_datasets = 5 - complexities = [0] * 7 - - seed(random_state) - for rs in randint(low=0, high=2**32 - 1, size=n_datasets): - - x, y = make_regression( - n_samples=n_samples, - n_features=n_features, - n_informative=n_informative, - n_targets=1, - bias=0, - noise=0.1, - random_state=rs, - ) - y = y.reshape(-1, 1) - - opt_kwargs = dict(fit_intercept=True) - optimizers = [ - SR3(thresholder="l0", threshold=0.1, **opt_kwargs), - SR3(thresholder="l1", threshold=0.1, **opt_kwargs), - Lasso(**opt_kwargs), - STLSQ(**opt_kwargs), - ElasticNet(**opt_kwargs), - Ridge(**opt_kwargs), - LinearRegression(**opt_kwargs), - ] - - optimizers = [SINDyOptimizer(o, unbias=True) for o in optimizers] - - for k, opt in enumerate(optimizers): - opt.fit(x, y) - complexities[k] += opt.complexity - - for less_complex, more_complex in zip(complexities, complexities[1:]): - # relax the condition to account for - # noise and non-normalized threshold parameters - assert less_complex <= more_complex + 5 - - -@pytest.mark.parametrize( - "opt_cls, reg_name", - [[Lasso, "alpha"], [Ridge, "alpha"], [STLSQ, "threshold"], [SR3, "threshold"]], -) -@given( - n_samples=integers(min_value=100, max_value=10000), - n_features=integers(min_value=10, max_value=30), - n_informative=integers(min_value=3, max_value=9), - random_state=integers(min_value=0, max_value=2**32 - 1), -) -@settings(max_examples=20, deadline=None) -def test_complexity_parameter( - opt_cls, reg_name, n_samples, n_features, n_informative, random_state -): - """Behaviour test for complexity 2. - - We assume that a model with a bigger regularization parameter is less complex. - """ - assume(n_informative <= n_features) - - x, y = make_regression( - n_samples=n_samples, - n_features=n_features, - n_informative=n_informative, - n_targets=1, - bias=0, - noise=0.1, - random_state=random_state, - ) - y = y.reshape(-1, 1) - - optimizers = [ - SINDyOptimizer(opt_cls(**{reg_name: reg_value}), unbias=True) - for reg_value in [3, 1, 0.3, 0.1, 0.01] - ] - - for opt in optimizers: - opt.fit(x, y) - - for less_complex, more_complex in zip(optimizers, optimizers[1:]): - assert less_complex.complexity <= more_complex.complexity diff --git a/test/differentiation/test_differentiation_methods.py b/test/test_differentiation.py similarity index 90% rename from test/differentiation/test_differentiation_methods.py rename to test/test_differentiation.py index 3297d3828..dcafa51ba 100644 --- a/test/differentiation/test_differentiation_methods.py +++ b/test/test_differentiation.py @@ -12,7 +12,40 @@ from pysindy.differentiation.base import BaseDifferentiation -# Simplest example: just use an assert statement +@pytest.mark.parametrize( + "method", + [ + FiniteDifference(), + SINDyDerivative(kind="spline", s=1), + SmoothedFiniteDifference(), + SpectralDerivative(), + ], +) +def test_methods_store_smoothed_x_(data_derivative_1d, method): + x, _ = data_derivative_1d + assert not hasattr(method, "smoothed_x_") + method(x) + assert hasattr(method, "smoothed_x_") + assert x.shape == method.smoothed_x_.shape + + +def test_methods_smoothedfd_smooths(data_derivative_1d): + x, _ = data_derivative_1d + x_noisy = x + np.random.normal(size=x.shape) + method = SmoothedFiniteDifference() + _ = method(x_noisy) + result = method.smoothed_x_ + assert np.linalg.norm(result - x) < np.linalg.norm(x_noisy - x) + + +def test_methods_smoothedfd_not_save_smooth(data_derivative_1d): + x, _ = data_derivative_1d + method = SmoothedFiniteDifference(save_smooth=False) + _ = method(x) + result = method.smoothed_x_ + np.testing.assert_allclose(x, result) + + def test_forward_difference_length(): x = 2 * np.linspace(1, 100, 100) forward_difference = FiniteDifference(order=1) @@ -45,9 +78,12 @@ def test_centered_difference_variable_timestep_length(): assert len(centered_difference(x, t) == len(x)) -# Fixtures: data sets to be re-used in multiple tests -# data_derivative_1d and data_derivative_2d are defined -# in ../conftest.py +def test_nan_derivatives(data_lorenz): + x, t = data_lorenz + x_dot = FiniteDifference(drop_endpoints=False)(x, t) + x_dot_nans = FiniteDifference(drop_endpoints=True)(x, t) + np.testing.assert_allclose(x_dot_nans[1:-1], x_dot[1:-1]) + assert np.isnan(x_dot_nans[:1]).all() and np.isnan(x_dot_nans[-1:]).all() def test_forward_difference_1d(data_derivative_1d): diff --git a/test/feature_library/test_feature_library.py b/test/test_feature_library.py similarity index 63% rename from test/feature_library/test_feature_library.py rename to test/test_feature_library.py index c61f992f2..24bb105b7 100644 --- a/test/feature_library/test_feature_library.py +++ b/test/test_feature_library.py @@ -3,8 +3,6 @@ """ import numpy as np import pytest -from scipy.sparse import coo_matrix -from scipy.sparse import csc_matrix from scipy.sparse import csr_matrix from sklearn.exceptions import NotFittedError from sklearn.utils.validation import check_is_fitted @@ -22,6 +20,7 @@ from pysindy.feature_library import TensoredLibrary from pysindy.feature_library import WeakPDELibrary from pysindy.feature_library.base import BaseFeatureLibrary +from pysindy.feature_library.polynomial_library import n_poly_features from pysindy.optimizers import SINDyPI from pysindy.optimizers import STLSQ @@ -42,18 +41,10 @@ def test_form_custom_library(): def test_form_pde_library(): - library_functions = [lambda x: x, lambda x: x**2, lambda x: 0 * x] - function_names = [ - lambda s: str(s), - lambda s: "{}^2".format(s), - lambda s: "0", - ] + function_library = PolynomialLibrary(degree=3, include_bias=False) # Test with user-supplied function names - PDELibrary(library_functions=library_functions, function_names=function_names) - - # Test without user-supplied function names - PDELibrary(library_functions=library_functions, function_names=None) + PDELibrary(function_library=function_library) def test_form_sindy_pi_library(): @@ -72,11 +63,13 @@ def test_form_sindy_pi_library(): def test_bad_parameters(): with pytest.raises(ValueError): - PolynomialLibrary(degree=-1) + PolynomialLibrary(degree=-1).fit(np.array([])) with pytest.raises(ValueError): - PolynomialLibrary(degree=1.5) + PolynomialLibrary(degree=1.5).fit(np.array([])) with pytest.raises(ValueError): - PolynomialLibrary(include_interaction=False, interaction_only=True) + PolynomialLibrary(include_interaction=False, interaction_only=True).fit( + np.array([]) + ) with pytest.raises(ValueError): FourierLibrary(n_frequencies=-1) with pytest.raises(ValueError): @@ -96,7 +89,6 @@ def test_bad_parameters(): @pytest.mark.parametrize( "params", [ - dict(function_names=[lambda s: str(s), lambda s: "{}^2".format(s)]), dict(derivative_order=1), dict(derivative_order=3), dict(spatial_grid=range(10)), @@ -106,7 +98,6 @@ def test_bad_parameters(): ], ) def test_pde_library_bad_parameters(params): - params["library_functions"] = [lambda x: x, lambda x: x**2, lambda x: 0 * x] with pytest.raises(ValueError): PDELibrary(**params) @@ -120,8 +111,7 @@ def test_pde_library_bad_parameters(params): dict(spatiotemporal_grid=range(10), K=-1), dict(), dict( - spatiotemporal_grid=np.asarray(np.meshgrid(range(10), range(10))).T, - H_xt=-1, + spatiotemporal_grid=np.asarray(np.meshgrid(range(10), range(10))).T, H_xt=-1 ), dict( spatiotemporal_grid=np.transpose( @@ -140,7 +130,6 @@ def test_pde_library_bad_parameters(params): ], ) def test_weak_pde_library_bad_parameters(params): - params["library_functions"] = [lambda x: x, lambda x: x**2, lambda x: 0 * x] with pytest.raises(ValueError): WeakPDELibrary(**params) @@ -168,23 +157,19 @@ def test_weak_pde_library_bad_parameters(params): ), dict( libraries=[PolynomialLibrary(), PolynomialLibrary()], - inputs_per_library=np.array([[0, 1], [0, 100]]), - ), - dict( - libraries=[PolynomialLibrary(), PolynomialLibrary()], - inputs_per_library=np.array([0, 0]), + inputs_per_library=[[0, 1], [0, 100]], ), dict( libraries=[PolynomialLibrary(), PolynomialLibrary()], - inputs_per_library=np.array([[0, 1]]), + inputs_per_library=[[0, 1]], ), dict( libraries=[PolynomialLibrary(), PolynomialLibrary()], - inputs_per_library=np.array([[0, 1, 2], [0, 1, 2], [0, 1, 2]]), + inputs_per_library=[[0, 1, 2], [0, 1, 2], [0, 1, 2]], ), dict( libraries=[PolynomialLibrary(), PolynomialLibrary()], - inputs_per_library=np.array([[0, 1, 2], [0, 1, -1]]), + inputs_per_library=[[0, 1, 2], [0, 1, -1]], ), ], ) @@ -204,7 +189,7 @@ def test_generalized_library_bad_parameters(data_lorenz, params): dict(parameter_library=None), ], ) -def test_parametrized_library_bad_parameters(data_lorenz, params): +def test_parameterized_library_bad_parameters(data_lorenz, params): with pytest.raises(ValueError): lib = ParameterizedLibrary(**params) x, t = data_lorenz @@ -244,12 +229,13 @@ def test_sindypi_library_bad_params(params): PolynomialLibrary(include_bias=False), FourierLibrary(), IdentityLibrary() + PolynomialLibrary(), - pytest.lazy_fixture("data_custom_library"), - pytest.lazy_fixture("data_custom_library_bias"), - pytest.lazy_fixture("data_generalized_library"), - pytest.lazy_fixture("data_ode_library"), - pytest.lazy_fixture("data_sindypi_library"), + pytest.lazy_fixture("custom_library"), + pytest.lazy_fixture("custom_library_bias"), + pytest.lazy_fixture("generalized_library"), + pytest.lazy_fixture("ode_library"), + pytest.lazy_fixture("sindypi_library"), ], + ids=type, ) def test_fit_transform(data_lorenz, library): x, t = data_lorenz @@ -265,12 +251,12 @@ def test_fit_transform(data_lorenz, library): PolynomialLibrary(include_bias=False), FourierLibrary(), IdentityLibrary() + PolynomialLibrary(), - pytest.lazy_fixture("data_custom_library"), - pytest.lazy_fixture("data_custom_library_bias"), - pytest.lazy_fixture("data_generalized_library"), - pytest.lazy_fixture("data_ode_library"), - pytest.lazy_fixture("data_pde_library"), - pytest.lazy_fixture("data_sindypi_library"), + pytest.lazy_fixture("custom_library"), + pytest.lazy_fixture("custom_library_bias"), + pytest.lazy_fixture("generalized_library"), + pytest.lazy_fixture("ode_library"), + pytest.lazy_fixture("pde_library"), + pytest.lazy_fixture("sindypi_library"), ], ) def test_change_in_data_shape(data_lorenz, library): @@ -288,11 +274,11 @@ def test_change_in_data_shape(data_lorenz, library): (PolynomialLibrary(), 10), (IdentityLibrary() + PolynomialLibrary(), 13), (FourierLibrary(), 6), - (pytest.lazy_fixture("data_custom_library_bias"), 13), - (pytest.lazy_fixture("data_custom_library"), 12), - (pytest.lazy_fixture("data_generalized_library"), 76), - (pytest.lazy_fixture("data_ode_library"), 9), - (pytest.lazy_fixture("data_sindypi_library"), 39), + (pytest.lazy_fixture("custom_library_bias"), 13), + (pytest.lazy_fixture("custom_library"), 12), + (pytest.lazy_fixture("generalized_library"), 76), + (pytest.lazy_fixture("ode_library"), 9), + (pytest.lazy_fixture("sindypi_library"), 39), ], ) def test_output_shape(data_lorenz, library, shape): @@ -311,11 +297,11 @@ def test_output_shape(data_lorenz, library, shape): PolynomialLibrary(include_bias=False), FourierLibrary(), PolynomialLibrary() + FourierLibrary(), - pytest.lazy_fixture("data_custom_library"), - pytest.lazy_fixture("data_custom_library_bias"), - pytest.lazy_fixture("data_generalized_library"), - pytest.lazy_fixture("data_ode_library"), - pytest.lazy_fixture("data_sindypi_library"), + pytest.lazy_fixture("custom_library"), + pytest.lazy_fixture("custom_library_bias"), + pytest.lazy_fixture("generalized_library"), + pytest.lazy_fixture("ode_library"), + pytest.lazy_fixture("sindypi_library"), ], ) def test_get_feature_names(data_lorenz, library): @@ -334,14 +320,6 @@ def test_get_feature_names(data_lorenz, library): assert isinstance(feature_names[0], str) -@pytest.mark.parametrize("sparse_format", [csc_matrix, csr_matrix, coo_matrix]) -def test_polynomial_sparse_inputs(data_lorenz, sparse_format): - x, t = data_lorenz - library = PolynomialLibrary() - library.fit_transform(sparse_format(x)) - check_is_fitted(library) - - # Catch-all for various combinations of options and # inputs for polynomial features @pytest.mark.parametrize( @@ -350,6 +328,23 @@ def test_polynomial_sparse_inputs(data_lorenz, sparse_format): ({"degree": 4}, csr_matrix), ({"include_bias": True}, csr_matrix), ({"include_bias": False}, csr_matrix), + ({"include_bias": False, "interaction_only": True}, csr_matrix), + ( + { + "include_bias": False, + "interaction_only": False, + "include_interaction": False, + }, + csr_matrix, + ), + ( + { + "include_bias": False, + "interaction_only": False, + "include_interaction": True, + }, + csr_matrix, + ), ({"include_interaction": False}, lambda x: x), ({"include_interaction": False, "include_bias": True}, lambda x: x), ], @@ -357,8 +352,11 @@ def test_polynomial_sparse_inputs(data_lorenz, sparse_format): def test_polynomial_options(data_lorenz, kwargs, sparse_format): x, t = data_lorenz library = PolynomialLibrary(**kwargs) - library.fit_transform(sparse_format(x)) + out = library.fit_transform(sparse_format(x)) check_is_fitted(library) + expected = len(library.powers_) + result = out.shape[1] + assert result == expected # Catch-all for various combinations of options and @@ -416,11 +414,11 @@ def test_tensored(data_lorenz): PolynomialLibrary(), FourierLibrary(), PolynomialLibrary() + FourierLibrary(), - pytest.lazy_fixture("data_custom_library"), - pytest.lazy_fixture("data_generalized_library"), - pytest.lazy_fixture("data_ode_library"), - pytest.lazy_fixture("data_pde_library"), - pytest.lazy_fixture("data_sindypi_library"), + pytest.lazy_fixture("custom_library"), + pytest.lazy_fixture("generalized_library"), + pytest.lazy_fixture("ode_library"), + pytest.lazy_fixture("pde_library"), + pytest.lazy_fixture("sindypi_library"), ], ) def test_not_fitted(data_lorenz, library): @@ -430,49 +428,6 @@ def test_not_fitted(data_lorenz, library): library.transform(x) -@pytest.mark.parametrize( - "library", - [ - IdentityLibrary(), - PolynomialLibrary(), - FourierLibrary(), - PolynomialLibrary() + FourierLibrary(), - pytest.lazy_fixture("data_custom_library"), - pytest.lazy_fixture("data_generalized_library"), - pytest.lazy_fixture("data_ode_library"), - pytest.lazy_fixture("data_pde_library"), - pytest.lazy_fixture("data_sindypi_library"), - ], -) -def test_library_ensemble(data_lorenz, library): - x, t = data_lorenz - library.fit(x) - n_output_features = library.n_output_features_ - library.library_ensemble = True - xp = library.transform(x) - assert n_output_features == xp.shape[1] + 1 - library.ensemble_indices = [0, 1] - with pytest.warns(UserWarning): - xp = library.transform(x) - assert n_output_features == xp.shape[1] + 2 - library.ensemble_indices = np.zeros(1000, dtype=int).tolist() - with pytest.raises(ValueError): - xp = library.transform(x) - - -@pytest.mark.parametrize( - "library", - [ - IdentityLibrary, - PolynomialLibrary, - FourierLibrary, - ], -) -def test_bad_library_ensemble(library): - with pytest.raises(ValueError): - library = library(ensemble_indices=-1) - - def test_generalized_library(data_lorenz): x, t = data_lorenz poly_library = PolynomialLibrary(include_bias=False) @@ -488,12 +443,7 @@ def test_generalized_library(data_lorenz): tensor_array = [[0, 1, 1], [1, 0, 1]] - inputs_per_library = np.tile([0, 1, 2], 3) - inputs_per_library = np.reshape(inputs_per_library, (3, 3)) - inputs_per_library[0, 0] = 1 - inputs_per_library[1, 1] = 0 - inputs_per_library[2, 1] = 0 - inputs_per_library[2, 2] = 0 + inputs_per_library = [[1, 2], [0, 2], [0]] # First try without tensor libraries and subset of the input variables sindy_library = GeneralizedLibrary( @@ -573,11 +523,8 @@ def test_generalized_library_pde(data_1d_random_pde): t, x, u, u_dot = data_1d_random_pde poly_library = PolynomialLibrary(include_bias=False) fourier_library = FourierLibrary() - library_functions = [lambda x: x, lambda x: x * x] - library_function_names = [lambda x: x, lambda x: x + x] pde_library = PDELibrary( - library_functions=library_functions, - function_names=library_function_names, + function_library=PolynomialLibrary(degree=2, include_bias=False), derivative_order=2, spatial_grid=x, include_bias=True, @@ -600,22 +547,16 @@ def test_generalized_library_pde(data_1d_random_pde): def test_generalized_library_weak_pde(data_1d_random_pde): t, x, u, u_dot = data_1d_random_pde - library_functions = [lambda x: x, lambda x: x * x] - library_function_names = [lambda x: x, lambda x: x + x] X, T = np.meshgrid(x, t) XT = np.array([X, T]).T weak_library1 = WeakPDELibrary( - library_functions=library_functions, - function_names=library_function_names, + function_library=PolynomialLibrary(degree=2, include_bias=False), derivative_order=2, spatiotemporal_grid=XT, include_bias=True, ) - library_functions = [lambda x: x * x * x] - library_function_names = [lambda x: x + x + x] weak_library2 = WeakPDELibrary( - library_functions=library_functions, - function_names=library_function_names, + function_library=CustomLibrary(library_functions=[lambda x: x * x * x]), derivative_order=0, spatiotemporal_grid=XT, ) @@ -642,19 +583,14 @@ def test_parameterized_library(diffuse_multiple_trajectories): u = np.zeros(xs[0].shape) us = us + [u] - library_functions = [lambda x: x] - library_function_names = [lambda x: x] - feature_lib = PDELibrary( - library_functions=library_functions, - function_names=library_function_names, + function_library=PolynomialLibrary(degree=1, include_bias=False), derivative_order=2, spatial_grid=spatial_grid, ) parameter_lib = PDELibrary( - library_functions=library_functions, - function_names=library_function_names, + function_library=PolynomialLibrary(degree=1, include_bias=False), derivative_order=0, include_bias=True, ) @@ -671,16 +607,14 @@ def test_parameterized_library(diffuse_multiple_trajectories): np.random.seed(100) weak_feature_lib = WeakPDELibrary( - library_functions=library_functions, - function_names=library_function_names, + function_library=PolynomialLibrary(degree=1, include_bias=False), derivative_order=2, spatiotemporal_grid=XT, K=100, ) np.random.seed(100) weak_parameter_lib = WeakPDELibrary( - library_functions=library_functions, - function_names=library_function_names, + function_library=PolynomialLibrary(degree=1, include_bias=False), derivative_order=0, spatiotemporal_grid=XT, K=100, @@ -698,90 +632,38 @@ def test_parameterized_library(diffuse_multiple_trajectories): model = SINDy( feature_library=pde_lib, optimizer=optimizer, feature_names=["u", "c"] ) - model.fit(xs, u=us, multiple_trajectories=True, t=t, ensemble=False) - assert abs(model.coefficients()[0][4] - 1) < 1e-2 - assert np.all(model.coefficients()[0][:4] == 0) - assert np.all(model.coefficients()[0][5:] == 0) + model.fit(xs, u=us, t=t) + assert abs(model.coefficients()[0, 4] - 1) < 1e-1 + assert np.all(model.coefficients()[0, :4] == 0) + assert np.all(model.coefficients()[0, 5:] == 0) - optimizer = STLSQ(threshold=0.5, alpha=1e-8, normalize_columns=False) + optimizer = STLSQ(threshold=0.25, alpha=1e-8, normalize_columns=False) model = SINDy( feature_library=weak_lib, optimizer=optimizer, feature_names=["u", "c"] ) - model.fit(xs, u=us, multiple_trajectories=True, t=t, ensemble=False) - assert abs(model.coefficients()[0][4] - 1) < 1e-2 - assert np.all(model.coefficients()[0][:4] == 0) - assert np.all(model.coefficients()[0][5:] == 0) + model.fit(xs, u=us, t=t) + assert abs(model.coefficients()[0, 4] - 1) < 1e-1 + assert np.all(model.coefficients()[0, :4] == 0) + assert np.all(model.coefficients()[0, 5:] == 0) # Helper function for testing PDE libraries -def pde_library_helper(library, u, coef_first_dim): - opt = STLSQ(normalize_columns=True, alpha=1e-10, threshold=0) - model = SINDy(optimizer=opt, feature_library=library) +def pde_library_helper(library, u): + base_opt = STLSQ(normalize_columns=True, alpha=1e-10, threshold=0) + model = SINDy(optimizer=base_opt, feature_library=library) model.fit(u) - assert np.any(opt.coef_ != 0.0) - - n_features = len(model.get_feature_names()) - model.fit(u, ensemble=True, n_subset=50, n_models=10) - assert np.shape(model.coef_list) == (10, coef_first_dim, n_features) - - model.fit(u, library_ensemble=True, n_models=10) - assert np.shape(model.coef_list) == (10, coef_first_dim, n_features) + assert np.any(base_opt.coef_ != 0.0) def test_1D_pdes(data_1d_random_pde): _, spatial_grid, u, _ = data_1d_random_pde - library_functions = [lambda x: x, lambda x: x * x] - library_function_names = [lambda x: x, lambda x: x + x] pde_lib = PDELibrary( - library_functions=library_functions, - function_names=library_function_names, + function_library=PolynomialLibrary(degree=2, include_bias=False), derivative_order=4, spatial_grid=spatial_grid, include_bias=True, ) - pde_library_helper(pde_lib, u, 1) - - -def test_2D_pdes(data_2d_random_pde): - spatial_grid, u, _ = data_2d_random_pde - library_functions = [lambda x: x, lambda x: x * x] - library_function_names = [lambda x: x, lambda x: x + x] - pde_lib = PDELibrary( - library_functions=library_functions, - function_names=library_function_names, - derivative_order=2, - spatial_grid=spatial_grid, - include_bias=True, - ) - pde_library_helper(pde_lib, u, 2) - - -def test_3D_pdes(data_3d_random_pde): - spatial_grid, u, _ = data_3d_random_pde - library_functions = [lambda x: x, lambda x: x * x] - library_function_names = [lambda x: x, lambda x: x + x] - pde_lib = PDELibrary( - library_functions=library_functions, - function_names=library_function_names, - derivative_order=2, - spatial_grid=spatial_grid, - include_bias=True, - ) - pde_library_helper(pde_lib, u, 2) - - -def test_5D_pdes(data_5d_random_pde): - spatial_grid, u, _ = data_5d_random_pde - library_functions = [lambda x: x, lambda x: x * x] - library_function_names = [lambda x: x, lambda x: x + x] - pde_lib = PDELibrary( - library_functions=library_functions, - function_names=library_function_names, - derivative_order=2, - spatial_grid=spatial_grid, - include_bias=True, - ) - pde_library_helper(pde_lib, u, 2) + pde_library_helper(pde_lib, u) def test_1D_weak_pdes(): @@ -789,93 +671,17 @@ def test_1D_weak_pdes(): t = np.linspace(0, 10, n) x = np.linspace(0, 10, n) u = np.random.randn(n, n, 1) - library_functions = [lambda x: x, lambda x: x * x] - library_function_names = [lambda x: x, lambda x: x + x] X, T = np.meshgrid(x, t, indexing="ij") spatiotemporal_grid = np.asarray([X, T]) spatiotemporal_grid = np.transpose(spatiotemporal_grid, axes=[1, 2, 0]) pde_lib = WeakPDELibrary( - library_functions=library_functions, - function_names=library_function_names, + function_library=PolynomialLibrary(degree=2, include_bias=False), derivative_order=4, spatiotemporal_grid=spatiotemporal_grid, H_xt=2, include_bias=True, ) - pde_library_helper(pde_lib, u, 1) - - -def test_2D_weak_pdes(): - n = 10 - t = np.linspace(0, 10, n) - x = np.linspace(0, 10, n) - y = np.linspace(0, 10, n) - X, Y, T = np.meshgrid(x, y, t, indexing="ij") - spatiotemporal_grid = np.asarray([X, Y, T]) - spatiotemporal_grid = np.transpose(spatiotemporal_grid, axes=[1, 2, 3, 0]) - u = np.random.randn(n, n, n, 1) - library_functions = [lambda x: x, lambda x: x * x] - library_function_names = [lambda x: x, lambda x: x + x] - pde_lib = WeakPDELibrary( - library_functions=library_functions, - function_names=library_function_names, - derivative_order=4, - spatiotemporal_grid=spatiotemporal_grid, - H_xt=4, - K=10, - include_bias=True, - ) - pde_library_helper(pde_lib, u, 1) - - -def test_3D_weak_pdes(): - n = 10 - t = np.linspace(0, 10, n) - x = np.linspace(0, 10, n) - y = np.linspace(0, 10, n) - z = np.linspace(0, 10, n) - X, Y, Z, T = np.meshgrid(x, y, z, t, indexing="ij") - spatiotemporal_grid = np.asarray([X, Y, Z, T]) - spatiotemporal_grid = np.transpose(spatiotemporal_grid, axes=[1, 2, 3, 4, 0]) - u = np.random.randn(n, n, n, n, 2) - library_functions = [lambda x: x, lambda x: x * x] - library_function_names = [lambda x: x, lambda x: x + x] - pde_lib = WeakPDELibrary( - library_functions=library_functions, - function_names=library_function_names, - derivative_order=4, - spatiotemporal_grid=spatiotemporal_grid, - H_xt=4, - K=10, - include_bias=True, - ) - pde_library_helper(pde_lib, u, 2) - - -def test_5D_weak_pdes(): - n = 5 - t = np.linspace(0, 10, n) - v = np.linspace(0, 10, n) - w = np.linspace(0, 10, n) - x = np.linspace(0, 10, n) - y = np.linspace(0, 10, n) - z = np.linspace(0, 10, n) - V, W, X, Y, Z, T = np.meshgrid(v, w, x, y, z, t, indexing="ij") - spatiotemporal_grid = np.asarray([V, W, X, Y, Z, T]) - spatiotemporal_grid = np.transpose(spatiotemporal_grid, axes=[1, 2, 3, 4, 5, 6, 0]) - u = np.random.randn(n, n, n, n, n, n, 2) - library_functions = [lambda x: x, lambda x: x * x] - library_function_names = [lambda x: x, lambda x: x + x] - pde_lib = WeakPDELibrary( - library_functions=library_functions, - function_names=library_function_names, - derivative_order=2, - spatiotemporal_grid=spatiotemporal_grid, - H_xt=4, - K=10, - include_bias=True, - ) - pde_library_helper(pde_lib, u, 2) + pde_library_helper(pde_lib, u) def test_sindypi_library(data_lorenz): @@ -917,3 +723,25 @@ def test_sindypi_library(data_lorenz): assert np.sum(sindy_opt.coef_ == 0.0) == 40.0 * 39.0 and np.any( sindy_opt.coef_[3, :] != 0.0 ) + + +@pytest.mark.parametrize( + ("include_interaction", "interaction_only", "bias", "expected"), + [ + (True, True, True, ((), (0,), (0, 1), (1,))), + (False, False, False, ((0,), (0, 0), (1,), (1, 1))), + ], +) +def test_polynomial_combinations(include_interaction, interaction_only, bias, expected): + combos = PolynomialLibrary._combinations( + n_features=2, + degree=2, + include_interaction=include_interaction, + interaction_only=interaction_only, + include_bias=bias, + ) + result = tuple(sorted(list(combos))) + assert result == expected + assert len(expected) == n_poly_features( + 2, 2, bias, include_interaction, interaction_only + ) diff --git a/test/test_notebooks.py b/test/test_notebooks.py index d617a6aca..fbf23381d 100644 --- a/test/test_notebooks.py +++ b/test/test_notebooks.py @@ -65,15 +65,26 @@ def purge_notebook_modules(): @pytest.mark.parametrize("directory", notebook_scripts) +@pytest.mark.notebooks def test_notebook_script(directory: Path, purge_notebook_modules): # Run in native directory with modified sys.path for imports to work + if "17_" in directory or "5_" in directory: + pytest.skip("Notebook runs too slowly. Test manually") with _cwd(notebook_dir / directory): - runpy.run_path(str(notebook_dir / directory / "example.py"), run_name="testing") + try: + runpy.run_path( + str(notebook_dir / directory / "example.py"), run_name="testing" + ) + except SystemExit: + pass def test_external(external_notebook: Path, purge_notebook_modules): with _cwd(external_notebook.resolve()): - runpy.run_path(str("example.py"), run_name="testing") + try: + runpy.run_path(str("example.py"), run_name="testing") + except SystemExit: + pass @pytest.mark.parametrize("filename", notebooks) diff --git a/test/optimizers/test_optimizers.py b/test/test_optimizers.py similarity index 56% rename from test/optimizers/test_optimizers.py rename to test/test_optimizers.py index 40bfa723c..8450fee82 100644 --- a/test/optimizers/test_optimizers.py +++ b/test/test_optimizers.py @@ -1,34 +1,44 @@ """ Unit tests for optimizers. """ +import pickle + import numpy as np import pytest +import scipy.linalg from numpy.linalg import norm +from numpy.typing import NDArray from scipy.integrate import solve_ivp from sklearn.base import BaseEstimator from sklearn.exceptions import ConvergenceWarning from sklearn.exceptions import NotFittedError from sklearn.linear_model import ElasticNet from sklearn.linear_model import Lasso +from sklearn.utils._param_validation import InvalidParameterError from sklearn.utils.validation import check_is_fitted from pysindy import FiniteDifference -from pysindy import PDELibrary from pysindy import PolynomialLibrary from pysindy import SINDy from pysindy.feature_library import CustomLibrary from pysindy.feature_library import SINDyPILibrary +from pysindy.optimizers import BaseOptimizer from pysindy.optimizers import ConstrainedSR3 from pysindy.optimizers import EnsembleOptimizer from pysindy.optimizers import FROLS from pysindy.optimizers import MIOSR -from pysindy.optimizers import SINDyOptimizer +from pysindy.optimizers import SBR from pysindy.optimizers import SINDyPI from pysindy.optimizers import SR3 from pysindy.optimizers import SSR from pysindy.optimizers import StableLinearSR3 from pysindy.optimizers import STLSQ from pysindy.optimizers import TrappingSR3 +from pysindy.optimizers import WrappedOptimizer +from pysindy.optimizers.stlsq import _remove_and_decrement +from pysindy.optimizers.trapping_sr3 import _antisymm_double_constraint +from pysindy.optimizers.trapping_sr3 import _antisymm_triple_constraints +from pysindy.optimizers.trapping_sr3 import _make_constraints from pysindy.utils import supports_multiple_targets from pysindy.utils.odes import enzyme @@ -64,6 +74,18 @@ def predict(self, x): return x +def _align_optimizer_and_1dfeatures( + opt: BaseOptimizer, features: NDArray +) -> tuple[BaseOptimizer, NDArray]: + # This is a hack until constraints are moved from init to fit + if isinstance(opt, TrappingSR3): + opt = TrappingSR3(_n_tgts=1, _include_bias=False) + features = np.hstack([features, features]) + else: + features = features + return opt, features + + @pytest.mark.parametrize( "cls, support", [ @@ -76,6 +98,7 @@ def predict(self, x): (StableLinearSR3, True), (TrappingSR3, True), (DummyLinearModel, False), + (SBR, True), ], ) def test_supports_multiple_targets(cls, support): @@ -97,18 +120,21 @@ def data(request): SR3(), ConstrainedSR3(), StableLinearSR3(), - TrappingSR3(), + TrappingSR3(_n_tgts=1), Lasso(fit_intercept=False), ElasticNet(fit_intercept=False), DummyLinearModel(), MIOSR(), + SBR(), ], + ids=lambda param: type(param), ) def test_fit(data_derivative_1d, optimizer): x, x_dot = data_derivative_1d if len(x.shape) == 1: x = x.reshape(-1, 1) - opt = SINDyOptimizer(optimizer, unbias=False) + optimizer, x = _align_optimizer_and_1dfeatures(optimizer, x) + opt = WrappedOptimizer(optimizer, unbias=False) opt.fit(x, x_dot) check_is_fitted(opt) @@ -121,40 +147,14 @@ def test_fit(data_derivative_1d, optimizer): @pytest.mark.parametrize( "optimizer", - [ - STLSQ(), - SSR(), - SSR(criteria="model_residual"), - SR3(), - ConstrainedSR3(), - StableLinearSR3(), - TrappingSR3(), - Lasso(fit_intercept=False), - ElasticNet(fit_intercept=False), - MIOSR(), - ], -) -def test_fit_2d(data_derivative_2d, optimizer): - x, x_dot = data_derivative_2d - opt = SINDyOptimizer(optimizer, unbias=False) - model = SINDy(optimizer=opt) - model.fit(x, x_dot=x_dot) - - check_is_fitted(opt) - assert opt.complexity >= 0 - assert opt.coef_.shape == (2, 6) - - -@pytest.mark.parametrize( - "optimizer", - [STLSQ(), SSR(), SSR(criteria="model_residual"), FROLS(), SR3(), MIOSR()], + [STLSQ(), SSR(), SSR(criteria="model_residual"), FROLS(), SR3(), MIOSR(), SBR()], ) def test_not_fitted(optimizer): with pytest.raises(NotFittedError): optimizer.predict(np.ones((1, 3))) -@pytest.mark.parametrize("optimizer", [STLSQ(), SR3()]) +@pytest.mark.parametrize("optimizer", [STLSQ(), SR3(), SBR()]) def test_complexity_not_fitted(optimizer, data_derivative_2d): with pytest.raises(NotFittedError): optimizer.complexity @@ -164,9 +164,7 @@ def test_complexity_not_fitted(optimizer, data_derivative_2d): assert optimizer.complexity > 0 -@pytest.mark.parametrize( - "kwargs", [{"normalize_columns": True}, {"fit_intercept": True}, {"copy_X": False}] -) +@pytest.mark.parametrize("kwargs", [{"normalize_columns": True}, {"copy_X": False}]) def test_alternate_parameters(data_derivative_1d, kwargs): x, x_dot = data_derivative_1d x = x.reshape(-1, 1) @@ -191,24 +189,14 @@ def test_alternate_parameters(data_derivative_1d, kwargs): MIOSR, ], ) -def test_sample_weight_optimizers(data_lorenz, optimizer): - x, t = data_lorenz - dt = t[1] - t[0] - x_dot = FiniteDifference()._differentiate(x, t=dt) - +def test_sample_weight_optimizers(data_1d, optimizer): + y, t = data_1d + opt = optimizer() + opt, x = _align_optimizer_and_1dfeatures(opt, y) sample_weight = np.ones(x[:, 0].shape) sample_weight[::2] = 0 - model = optimizer() - model.fit(x, x_dot) - model.fit(x, x_dot, sample_weight=sample_weight) - model.fit(x, x_dot, sample_weight=sample_weight) - check_is_fitted(model) - - model = optimizer(normalize_columns=True) - model.fit(x, x_dot) - model.fit(x, x_dot, sample_weight=sample_weight) - model.fit(x, x_dot, sample_weight=sample_weight) - check_is_fitted(model) + opt.fit(x, y, sample_weight=sample_weight) + check_is_fitted(opt) @pytest.mark.parametrize("optimizer", [STLSQ, SR3, ConstrainedSR3, StableLinearSR3]) @@ -248,8 +236,6 @@ def test_sr3_bad_parameters(optimizer, params): dict(max_iter=0), dict(eta=10, alpha_m=20), dict(eta=10, alpha_A=20), - dict(inequality_constraints=True, evolve_w=False), - dict(inequality_constraints=True), dict( constraint_lhs=np.zeros((10, 10)), constraint_rhs=np.zeros(10), @@ -259,7 +245,15 @@ def test_sr3_bad_parameters(optimizer, params): ) def test_trapping_bad_parameters(params): with pytest.raises(ValueError): - TrappingSR3(**params) + TrappingSR3(_n_tgts=1, **params) + + +def test_trapping_objective_print(): + # test error in verbose print logic when max_iter < 10 + opt = TrappingSR3(_n_tgts=1, max_iter=2, verbose=True) + arr = np.ones((1, 1)) + opt.PQ_ = np.ones((1, 1, 1, 1, 1)) + opt._objective(arr, arr, arr, arr, arr, 1) @pytest.mark.parametrize( @@ -347,11 +341,49 @@ def test_sindypi_fit(params): model = SINDy( optimizer=opt, feature_library=sindy_library, + differentiation_method=FiniteDifference(drop_endpoints=True), ) model.fit(x_train, t=t) assert np.shape(opt.coef_) == (10, 10) +@pytest.mark.parametrize( + "params", + [ + dict(sparsity_coef_tau0=0), + dict(sparsity_coef_tau0=-1), + dict(slab_shape_nu=0), + dict(slab_shape_nu=-1), + dict(slab_shape_s=0), + dict(slab_shape_s=-1), + dict(noise_hyper_lambda=0), + dict(noise_hyper_lambda=-1), + dict(num_warmup=0.5), + dict(num_warmup=-1), + dict(num_samples=0.5), + dict(num_samples=-1), + ], +) +def test_sbr_bad_parameters(params): + with pytest.raises(ValueError): + SBR(**params) + + +def test_sbr_accurate(): + # It's really hard to tune SBR to get desired shrinkage + # This just tests that SBR fits "close" to unregularized regression + x = np.tile(np.eye(2), 4).reshape((-1, 2)) + y = np.tile([[1], [1e-1]], 4).reshape((-1, 1)) + opt = SBR(num_warmup=50, num_samples=50).fit(x, y) + result = opt.coef_ + unregularized = np.array([[1, 1e-1]]) + np.testing.assert_allclose(result, unregularized, atol=1e-3) + assert hasattr(opt, "mcmc_") + expected_names = ["beta", "c_sq", "lambda", "sigma", "tau"] + result_names = opt.mcmc_.get_samples().keys() + assert all(expected in result_names for expected in expected_names) + + @pytest.mark.parametrize( "params", [ @@ -443,203 +475,93 @@ def test_constrained_sr3_quadratic_library(params): @pytest.mark.parametrize( "params", [ - dict(thresholder="l1", threshold=0), - dict(thresholder="l1", threshold=1e-5), - dict(thresholder="weighted_l1", thresholds=np.zeros((3, 3))), - dict(thresholder="weighted_l1", thresholds=1e-5 * np.ones((3, 3))), - dict(thresholder="l2", threshold=0), - dict(thresholder="l2", threshold=1e-5), - dict(thresholder="weighted_l2", thresholds=np.zeros((3, 3))), - dict(thresholder="weighted_l2", thresholds=1e-5 * np.ones((3, 3))), + dict(thresholder="l1", threshold=1, expected=2.5), + dict(thresholder="weighted_l1", thresholds=np.ones((4, 1)), expected=2.5), + dict(thresholder="l2", threshold=1, expected=1.5), + dict(thresholder="weighted_l2", thresholds=np.ones((4, 1)), expected=2.5), ], + ids=lambda d: d["thresholder"], ) -def test_stable_linear_sr3_linear_library(params): - x = np.random.standard_normal((100, 3)) - library_functions = [ - lambda x: x, - ] - library_function_names = [ - lambda x: str(x), - ] - sindy_library = CustomLibrary( - library_functions=library_functions, function_names=library_function_names - ) - - # Test stable linear SR3 without constraints +def test_stable_linear_sr3_cost_function(params): + expected = params.pop("expected") opt = StableLinearSR3(**params) - model = SINDy(optimizer=opt, feature_library=sindy_library) - model.fit(x) - check_is_fitted(model) + x = np.eye(2) + y = np.ones(1) + xi, cost = opt._create_var_and_part_cost(x.flatten(), y, x, x) + xi.value = 0.5 * np.ones(4) + np.testing.assert_allclose(cost.value, expected) - # rerun with identity constraints - r = 3 - N = 3 - p = r + r * (r - 1) + int(r * (r - 1) * (r - 2) / 6.0) - constraint_rhs = np.zeros(p) - constraint_matrix = np.eye(p, r * N) - # Test stable linear SR3 with constraints +def test_stable_linear_sr3_linear_library(): + x = np.ones((2, 1)) + opt = StableLinearSR3() + opt.fit(x, x) + check_is_fitted(opt) + + constraint_rhs = np.zeros((1, 1)) + constraint_matrix = np.eye(1) opt = StableLinearSR3( - constraint_lhs=constraint_matrix, constraint_rhs=constraint_rhs, **params + constraint_lhs=constraint_matrix, constraint_rhs=constraint_rhs ) - model = SINDy(optimizer=opt, feature_library=sindy_library) - model.fit(x) - check_is_fitted(model) - assert np.allclose((model.coefficients().flatten())[:p], 0.0) + opt.fit(x, x) + check_is_fitted(opt) + assert np.allclose(opt.coef_.flatten(), 0.0) -@pytest.mark.parametrize( - "trapping_sr3_params", - [ - dict(), - dict(accel=True), - ], -) @pytest.mark.parametrize( "params", [ - dict(thresholder="l1", threshold=0), - dict(thresholder="l1", threshold=1e-5), + dict(thresholder="l1", threshold=0, _include_bias=True), + dict(thresholder="l1", threshold=1e-5, _include_bias=True), dict( thresholder="weighted_l1", - thresholds=np.zeros((3, 9)), + thresholds=np.zeros((1, 2)), eta=1e5, alpha_m=1e4, alpha_A=1e5, + _include_bias=False, ), - dict(thresholder="weighted_l1", thresholds=1e-5 * np.ones((3, 9))), - dict(thresholder="l2", threshold=0), - dict(thresholder="l2", threshold=1e-5), - dict(thresholder="weighted_l2", thresholds=np.zeros((3, 9))), - dict(thresholder="weighted_l2", thresholds=1e-5 * np.ones((3, 9))), - ], -) -def test_trapping_sr3_quadratic_library( - params, trapping_sr3_params, data_quadratic_library -): - np.random.seed(100) - x = np.random.standard_normal((100, 3)) - - sindy_library = data_quadratic_library - params.update(trapping_sr3_params) - - opt = TrappingSR3(**params) - model = SINDy(optimizer=opt, feature_library=sindy_library) - model.fit(x) - assert opt.PL_unsym_.shape == (3, 3, 3, 9) - assert opt.PL_.shape == (3, 3, 3, 9) - assert opt.PQ_.shape == (3, 3, 3, 3, 9) - check_is_fitted(model) - - # Rerun with identity constraints - r = 3 - N = 9 - p = r + r * (r - 1) + int(r * (r - 1) * (r - 2) / 6.0) - params["constraint_rhs"] = np.zeros(p) - params["constraint_lhs"] = np.eye(p, r * N) - - opt = TrappingSR3(**params) - model = SINDy(optimizer=opt, feature_library=sindy_library) - model.fit(x) - assert opt.PL_unsym_.shape == (3, 3, 3, 9) - assert opt.PL_.shape == (3, 3, 3, 9) - assert opt.PQ_.shape == (3, 3, 3, 3, 9) - check_is_fitted(model) - # check is solve was infeasible first - if not np.allclose(opt.m_history_[-1], opt.m_history_[0]): - zero_inds = [0, 1, 3, 6, 9, 12, 15, 18, 21, 24] - assert np.allclose((model.coefficients().flatten())[zero_inds], 0.0, atol=1e-5) - - -@pytest.mark.parametrize( - "trapping_sr3_params", - [ - dict(), - dict(accel=True), - ], -) -@pytest.mark.parametrize( - "params", - [ - dict(thresholder="l1", threshold=0), - dict(thresholder="l1", threshold=1e-5), dict( thresholder="weighted_l1", - thresholds=np.zeros((3, 10)), - eta=1e5, - alpha_m=1e4, - alpha_A=1e5, + thresholds=1e-5 * np.ones((1, 2)), + _include_bias=False, + ), + dict(thresholder="l2", threshold=0, _include_bias=True), + dict(thresholder="l2", threshold=1e-5, _include_bias=True), + dict( + thresholder="weighted_l2", thresholds=np.zeros((1, 2)), _include_bias=False + ), + dict( + thresholder="weighted_l2", + thresholds=1e-5 * np.ones((1, 2)), + _include_bias=False, ), - dict(thresholder="weighted_l1", thresholds=1e-5 * np.ones((3, 10))), - dict(thresholder="l2", threshold=0), - dict(thresholder="l2", threshold=1e-5), - dict(thresholder="weighted_l2", thresholds=np.zeros((3, 10))), - dict(thresholder="weighted_l2", thresholds=1e-5 * np.ones((3, 10))), ], ) -def test_trapping_sr3_quadratic_library_with_bias( - params, trapping_sr3_params, data_quadratic_library_with_bias -): - np.random.seed(100) - x = np.random.standard_normal((100, 3)) - - sindy_library = data_quadratic_library_with_bias - params.update(trapping_sr3_params) - - opt = TrappingSR3(**params) - model = SINDy(optimizer=opt, feature_library=sindy_library) - model.fit(x) - assert opt.PL_unsym_.shape == (3, 3, 3, 10) - assert opt.PL_.shape == (3, 3, 3, 10) - assert opt.PQ_.shape == (3, 3, 3, 3, 10) - check_is_fitted(model) +def test_trapping_sr3_quadratic_library(params): + t = np.arange(0, 1, 0.1) + x = np.exp(-t).reshape((-1, 1)) + x_dot = -x + features = np.hstack([x, x**2]) + if params.get("_include_bias"): + features = np.hstack([np.ones_like(x), features]) + + opt = TrappingSR3(_n_tgts=1, **params) + opt.fit(features, x_dot) + check_is_fitted(opt) # Rerun with identity constraints - r = 3 - N = 10 - p = r + r * (r - 1) + int(r * (r - 1) * (r - 2) / 6.0) - params["constraint_rhs"] = np.zeros(p) - params["constraint_lhs"] = np.eye(p, r * N) + r = x.shape[1] + N = 2 + params.get("_include_bias", 0) + params["constraint_rhs"] = np.zeros(r * N) + params["constraint_lhs"] = np.eye(r * N, r * N) - opt = TrappingSR3(**params) - model = SINDy(optimizer=opt, feature_library=sindy_library) - model.fit(x) - assert opt.PL_unsym_.shape == (3, 3, 3, 10) - assert opt.PL_.shape == (3, 3, 3, 10) - assert opt.PQ_.shape == (3, 3, 3, 3, 10) - check_is_fitted(model) + opt = TrappingSR3(_n_tgts=1, **params) + opt.fit(features, x_dot) + check_is_fitted(opt) # check is solve was infeasible first if not np.allclose(opt.m_history_[-1], opt.m_history_[0]): - print(model.coefficients()) - zero_inds = [0, 1, 4, 7, 10, 13, 17, 20, 23, 26] - assert np.allclose((model.coefficients().flatten())[zero_inds], 0.0, atol=1e-5) - - -def test_trapping_cubic_library(): - x = np.random.standard_normal((10, 3)) - library_functions = [ - lambda x: x, - lambda x, y: x * y, - lambda x: x**2, - lambda x, y, z: x * y * z, - lambda x, y: x**2 * y, - lambda x: x**3, - ] - library_function_names = [ - lambda x: str(x), - lambda x, y: "{} * {}".format(x, y), - lambda x: "{}^2".format(x), - lambda x, y, z: "{} * {} * {}".format(x, y, z), - lambda x, y: "{}^2 * {}".format(x, y), - lambda x: "{}^3".format(x), - ] - sindy_library = CustomLibrary( - library_functions=library_functions, function_names=library_function_names - ) - opt = TrappingSR3() - model = SINDy(optimizer=opt, feature_library=sindy_library) - model.fit(x) - check_is_fitted(model) + assert np.allclose((opt.coef_.flatten())[0], 0.0, atol=1e-5) @pytest.mark.parametrize( @@ -696,12 +618,15 @@ def test_specific_bad_parameters(error, optimizer, params, data_lorenz): def test_bad_optimizers(data_derivative_1d): x, x_dot = data_derivative_1d x = x.reshape(-1, 1) + x_dot = x_dot.reshape(-1, 1) + with pytest.raises(InvalidParameterError): + # Error: optimizer does not have a callable fit method + opt = WrappedOptimizer(DummyEmptyModel()) + opt.fit(x, x_dot) with pytest.raises(AttributeError): - opt = SINDyOptimizer(DummyEmptyModel()) - - with pytest.raises(AttributeError): - opt = SINDyOptimizer(DummyModelNoCoef()) + # Error: object has no attribute 'coef_' + opt = WrappedOptimizer(DummyModelNoCoef()) opt.fit(x, x_dot) @@ -760,19 +685,35 @@ def test_constrained_sr3_prox_functions(data_derivative_1d, thresholder): check_is_fitted(model) +@pytest.mark.parametrize( + ("opt_cls", "opt_args"), + ( + (SR3, {"trimming_fraction": 0.1}), + (ConstrainedSR3, {"constraint_lhs": [1], "constraint_rhs": [1]}), + (ConstrainedSR3, {"trimming_fraction": 0.1}), + (TrappingSR3, {"_n_tgts": 1, "constraint_lhs": [1], "constraint_rhs": [1]}), + (StableLinearSR3, {"constraint_lhs": [1], "constraint_rhs": [1]}), + (StableLinearSR3, {"trimming_fraction": 0.1}), + (SINDyPI, {}), + (MIOSR, {"constraint_lhs": [1]}), + (SBR, {}), + ), +) +def test_illegal_unbias(data_derivative_1d, opt_cls, opt_args): + x, x_dot = data_derivative_1d + with pytest.raises(ValueError): + opt_cls(unbias=True, **opt_args).fit(x, x_dot) + + def test_unbias(data_derivative_1d): x, x_dot = data_derivative_1d x = x.reshape(-1, 1) x_dot = x_dot.reshape(-1, 1) - optimizer_biased = SINDyOptimizer( - STLSQ(threshold=0.01, alpha=0.1, max_iter=1), unbias=False - ) + optimizer_biased = STLSQ(threshold=0.01, alpha=0.1, max_iter=1, unbias=False) optimizer_biased.fit(x, x_dot) - optimizer_unbiased = SINDyOptimizer( - STLSQ(threshold=0.01, alpha=0.1, max_iter=1), unbias=True - ) + optimizer_unbiased = STLSQ(threshold=0.01, alpha=0.1, max_iter=1, unbias=True) optimizer_unbiased.fit(x, x_dot) assert ( @@ -787,12 +728,12 @@ def test_unbias_external(data_derivative_1d): x = x.reshape(-1, 1) x_dot = x_dot.reshape(-1, 1) - optimizer_biased = SINDyOptimizer( + optimizer_biased = WrappedOptimizer( Lasso(alpha=0.1, fit_intercept=False, max_iter=1), unbias=False ) optimizer_biased.fit(x, x_dot) - optimizer_unbiased = SINDyOptimizer( + optimizer_unbiased = WrappedOptimizer( Lasso(alpha=0.1, fit_intercept=False, max_iter=1), unbias=True ) optimizer_unbiased.fit(x, x_dot) @@ -804,20 +745,18 @@ def test_unbias_external(data_derivative_1d): ) -@pytest.mark.parametrize("optimizer", [SR3, ConstrainedSR3]) -def test_sr3_trimming(optimizer, data_linear_oscillator_corrupted): +@pytest.mark.parametrize("OptCls", [SR3, ConstrainedSR3]) +def test_sr3_trimming(OptCls, data_linear_oscillator_corrupted): X, X_dot, trimming_array = data_linear_oscillator_corrupted - optimizer_without_trimming = SINDyOptimizer(optimizer(), unbias=False) + optimizer_without_trimming = OptCls(unbias=False) optimizer_without_trimming.fit(X, X_dot) - optimizer_trimming = SINDyOptimizer(optimizer(trimming_fraction=0.15), unbias=False) + optimizer_trimming = OptCls(trimming_fraction=0.15, unbias=False) optimizer_trimming.fit(X, X_dot) # Check that trimming found the right samples to remove - np.testing.assert_array_equal( - optimizer_trimming.optimizer.trimming_array, trimming_array - ) + np.testing.assert_array_equal(optimizer_trimming.trimming_array, trimming_array) # Check that the coefficients found by the optimizer with trimming # are closer to the true coefficients than the coefficients found by the @@ -856,17 +795,6 @@ def test_sr3_enable_trimming(optimizer, data_linear_oscillator_corrupted): np.testing.assert_allclose(model_plain.coef_, model_trimming.coef_) -@pytest.mark.parametrize( - "optimizer", [SR3, ConstrainedSR3, StableLinearSR3, TrappingSR3] -) -def test_sr3_warn(optimizer, data_linear_oscillator_corrupted): - x, x_dot, _ = data_linear_oscillator_corrupted - model = optimizer(max_iter=1, tol=1e-10) - - with pytest.warns(ConvergenceWarning): - model.fit(x, x_dot) - - @pytest.mark.parametrize( "optimizer", [ @@ -874,60 +802,90 @@ def test_sr3_warn(optimizer, data_linear_oscillator_corrupted): SR3(max_iter=1), ConstrainedSR3(max_iter=1), StableLinearSR3(max_iter=1), - TrappingSR3(max_iter=1), + TrappingSR3(_n_tgts=1, max_iter=1), ], ) def test_fit_warn(data_derivative_1d, optimizer): x, x_dot = data_derivative_1d - if len(x.shape) == 1: - x = x.reshape(-1, 1) + x = x.reshape(-1, 1) + optimizer.max_iter = 0 # normally prohibited in constructor + with pytest.warns(ConvergenceWarning): optimizer.fit(x, x_dot) -# @pytest.mark.parametrize("optimizer", [ConstrainedSR3, TrappingSR3, MIOSR]) -@pytest.mark.parametrize("optimizer", [ConstrainedSR3, MIOSR]) +@pytest.mark.parametrize( + "optimizer", + [ + (ConstrainedSR3, {"max_iter": 80}), + (TrappingSR3, {"_n_tgts": 3, "max_iter": 100, "eps_solver": 1e-5}), + (MIOSR, {}), + ], + ids=lambda param: param[0].__name__ + " " + ",".join([key for key in param[1]]), +) @pytest.mark.parametrize("target_value", [0, -1, 3]) -def test_row_format_constraints(data_linear_combination, optimizer, target_value): +def test_feature_format_constraints(data_linear_combination, optimizer, target_value): # Solution is x_dot = x.dot(np.array([[1, 1, 0], [0, 1, 1]])) - x, x_dot = data_linear_combination + x, y = data_linear_combination constraint_rhs = target_value * np.ones(2) - constraint_lhs = np.zeros((2, x.shape[1] * x_dot.shape[1])) + constraint_lhs = np.zeros((2, x.shape[1], y.shape[1])) # Should force corresponding entries of coef_ to be target_value - constraint_lhs[0, 0] = 1 - constraint_lhs[1, 3] = 1 + constraint_lhs[0, 1, 1] = 1 + constraint_lhs[1, 2, 2] = 1 + # reshape to "feature" order + constraint_lhs = np.reshape(constraint_lhs, (constraint_lhs.shape[0], -1)) - model = optimizer( + model = optimizer[0]( constraint_lhs=constraint_lhs, constraint_rhs=constraint_rhs, constraint_order="feature", + **optimizer[1], ) - model.fit(x, x_dot) + model.fit(x, y) np.testing.assert_allclose( - np.array([model.coef_[0, 0], model.coef_[1, 1]]), target_value, atol=1e-7 + np.array([model.coef_[1, 1], model.coef_[2, 2]]), target_value, atol=1e-7 ) @pytest.mark.parametrize( - "optimizer", [ConstrainedSR3, StableLinearSR3, TrappingSR3, MIOSR] + "optimizer", + [ + (ConstrainedSR3, {"max_iter": 80}), + (StableLinearSR3, {}), + (TrappingSR3, {"_n_tgts": 3, "max_iter": 200, "eps_solver": 1e-5}), + (MIOSR, {}), + ], + ids=lambda param: param[0].__name__ + " " + ",".join([key for key in param[1]]), ) @pytest.mark.parametrize("target_value", [0, -1, 3]) def test_target_format_constraints(data_linear_combination, optimizer, target_value): - x, x_dot = data_linear_combination + x, y = data_linear_combination constraint_rhs = target_value * np.ones(2) - constraint_lhs = np.zeros((2, x.shape[1] * x_dot.shape[1])) + constraint_lhs = np.zeros((2, x.shape[1], y.shape[1])) # Should force corresponding entries of coef_ to be target_value - constraint_lhs[0, 1] = 1 - constraint_lhs[1, 4] = 1 + constraint_lhs[0, 2, 1] = 1 + constraint_lhs[1, 1, 2] = 1 + # reshape to "target" order + constraint_lhs = np.reshape( + np.transpose(constraint_lhs, [0, 2, 1]), (constraint_lhs.shape[0], -1) + ) - model = optimizer(constraint_lhs=constraint_lhs, constraint_rhs=constraint_rhs) - model.fit(x, x_dot) - np.testing.assert_allclose(model.coef_[:, 1], target_value, atol=1e-8) + model = optimizer[0]( + constraint_lhs=constraint_lhs, + constraint_rhs=constraint_rhs, + constraint_order="target", + **optimizer[1], + ) + model.fit(x, y) + + np.testing.assert_allclose( + np.array([model.coef_[1, 2], model.coef_[2, 1]]), target_value, atol=1e-7 + ) @pytest.mark.parametrize( @@ -959,6 +917,7 @@ def test_constrained_inequality_constraints(data_lorenz, params): model = SINDy( optimizer=opt, feature_library=poly_lib, + differentiation_method=FiniteDifference(drop_endpoints=True), feature_names=feature_names, ) model.fit(x, t=t[1] - t[0]) @@ -969,23 +928,37 @@ def test_constrained_inequality_constraints(data_lorenz, params): @pytest.mark.parametrize( "params", [ - dict(thresholder="l1", threshold=0.0), - dict(thresholder="weighted_l1", thresholds=0.0 * np.ones((3, 9))), - dict(thresholder="l2", threshold=0.0), - dict(thresholder="weighted_l2", thresholds=0.0 * np.ones((3, 9))), - dict(thresholder="l1", threshold=0.0005), - dict(thresholder="weighted_l1", thresholds=0.0005 * np.ones((3, 9))), - dict(thresholder="l2", threshold=0.0005), - dict(thresholder="weighted_l2", thresholds=0.0005 * np.ones((3, 9))), + dict(thresholder="l1", threshold=2, expected=2.5), + dict(thresholder="weighted_l1", thresholds=0.5 * np.ones((1, 2)), expected=1.0), + dict(thresholder="l2", threshold=2, expected=1.5), + dict( + thresholder="weighted_l2", thresholds=0.5 * np.ones((1, 2)), expected=0.75 + ), + dict(thresholder="l1", threshold=0, expected=0.5), + dict(thresholder="weighted_l1", thresholds=0.0 * np.ones((1, 2)), expected=0.5), + dict(thresholder="l2", threshold=0.0, expected=0.5), + dict(thresholder="weighted_l2", thresholds=0.0 * np.ones((1, 2)), expected=0.5), ], + ids=lambda d: d["thresholder"], ) -def test_trapping_inequality_constraints(data_lorenz, params): - x, t = data_lorenz - constraint_rhs = np.array([-10.0, 28.0]) - constraint_matrix = np.zeros((2, 27)) - constraint_matrix[0, 0] = 1.0 - constraint_matrix[1, 10] = 1.0 - feature_names = ["x", "y", "z"] +def test_trapping_cost_function(params): + # TODO: are all these parameters necessary? What are we testing? + expected = params.pop("expected") + opt = TrappingSR3(**params) + x = np.eye(2) + y = np.ones(2) + xi, cost = opt._create_var_and_part_cost(2, x, y) + xi.value = np.array([0.5, 0.5]) + np.testing.assert_allclose(cost.value, expected) + + +def test_trapping_inequality_constraints(): + t = np.arange(0, 1, 0.1) + x = np.stack((t, t**2)).T + y = x[:, 0] + 0.1 * x[:, 1] + constraint_rhs = np.array([0.1]) + constraint_matrix = np.zeros((1, 2)) + constraint_matrix[0, 1] = 0.1 # Run Trapping SR3 opt = TrappingSR3( @@ -993,17 +966,9 @@ def test_trapping_inequality_constraints(data_lorenz, params): constraint_rhs=constraint_rhs, constraint_order="feature", inequality_constraints=True, - **params, ) - poly_lib = PolynomialLibrary(degree=2, include_bias=False) - model = SINDy( - optimizer=opt, - feature_library=poly_lib, - feature_names=feature_names, - ) - model.fit(x, t=t[1] - t[0]) - # This sometimes fails with L2 norm so just check the model is fitted - check_is_fitted(model) + opt.fit(x, y) + assert np.all(np.dot(constraint_matrix, (opt.coef_).flatten()) <= constraint_rhs) @pytest.mark.parametrize( @@ -1033,7 +998,7 @@ def test_miosr_equality_constraints(data_lorenz, params): feature_library=poly_lib, feature_names=feature_names, ) - model.fit(x, t=t[1] - t[0], unbias=False) + model.fit(x, t=t[1] - t[0]) assert np.allclose( np.dot(constraint_matrix, (model.coefficients()).flatten()), constraint_rhs, @@ -1048,13 +1013,9 @@ def test_inequality_constraints_reqs(): constraint_matrix[1, 17] = 1.0 with pytest.raises(ValueError): TrappingSR3( - constraint_rhs=constraint_rhs, - constraint_order="feature", - inequality_constraints=True, - ) - with pytest.raises(ValueError): - TrappingSR3( + threshold=0.0, constraint_lhs=constraint_matrix, + constraint_rhs=constraint_rhs, constraint_order="feature", inequality_constraints=True, ) @@ -1071,6 +1032,7 @@ def test_inequality_constraints_reqs(): StableLinearSR3, TrappingSR3, MIOSR, + SBR, ], ) def test_normalize_columns(data_derivative_1d, optimizer): @@ -1078,6 +1040,7 @@ def test_normalize_columns(data_derivative_1d, optimizer): if len(x.shape) == 1: x = x.reshape(-1, 1) opt = optimizer(normalize_columns=True) + opt, x = _align_optimizer_and_1dfeatures(opt, x) opt.fit(x, x_dot) check_is_fitted(opt) assert opt.complexity >= 0 @@ -1087,80 +1050,34 @@ def test_normalize_columns(data_derivative_1d, optimizer): assert opt.coef_.shape == (1, x.shape[1]) -@pytest.mark.parametrize( - "optimizer", - [ - STLSQ, - SSR, - FROLS, - SR3, - ConstrainedSR3, - StableLinearSR3, - TrappingSR3, - MIOSR, - ], -) -def test_legacy_ensemble_odes(data_lorenz, optimizer): - x, t = data_lorenz - opt = optimizer(normalize_columns=True) - model = SINDy(optimizer=opt) - model.fit(x, ensemble=True, n_models=10, n_subset=20) - assert np.shape(model.coef_list) == (10, 3, 10) - - @pytest.mark.parametrize( "optimizer_params", ( - {"library_ensemble": True}, - {"bagging": True}, - {"library_ensemble": True, "bagging": True}, + {"library_ensemble": True, "n_models": 2}, + {"bagging": True, "n_models": 2, "n_subset": 2}, + {"library_ensemble": True, "bagging": True, "n_models": 2, "n_subset": 2}, ), ) def test_ensemble_optimizer(data_lorenz, optimizer_params): x, t = data_lorenz optimizer = EnsembleOptimizer(STLSQ(), **optimizer_params) - feature_library = PolynomialLibrary() - model = SINDy(feature_library=feature_library, optimizer=optimizer) - model.fit(x, t) - assert model.coefficients().shape == (3, 10) + optimizer.fit(x, x) + assert optimizer.coef_.shape == (3, 3) + assert len(optimizer.coef_list) == 2 @pytest.mark.parametrize( - "optimizer", + "params", [ - STLSQ, - SSR, - FROLS, - SR3, - ConstrainedSR3, - StableLinearSR3, - TrappingSR3, - MIOSR, + dict(), + dict(bagging=True, n_models=0), + dict(bagging=True, n_subset=0), + dict(library_ensemble=True, n_candidates_to_drop=0), ], ) -def test_legacy_ensemble_pdes(optimizer): - u = np.random.randn(10, 10, 2) - t = np.linspace(1, 10, 10) - x = np.linspace(1, 10, 10) - dt = t[1] - t[0] - u_dot = np.zeros(u.shape) - for i in range(len(x)): - u_dot[i, :, :] = FiniteDifference()._differentiate(u[i, :, :], t=dt) - - library_functions = [lambda x: x, lambda x: x * x] - library_function_names = [lambda x: x, lambda x: x + x] - pde_lib = PDELibrary( - library_functions=library_functions, - function_names=library_function_names, - derivative_order=3, - spatial_grid=x, - include_bias=True, - ) - opt = optimizer(normalize_columns=True) - model = SINDy(optimizer=opt, feature_library=pde_lib) - model.fit(u, x_dot=u_dot, ensemble=True, n_models=10, n_subset=20) - n_features = len(model.get_feature_names()) - assert np.shape(model.coef_list) == (10, 2, n_features) +def test_bad_ensemble_params(data_lorenz, params): + with pytest.raises(ValueError): + EnsembleOptimizer(opt=STLSQ(), **params) def test_ssr_criteria(data_lorenz): @@ -1184,13 +1101,13 @@ def test_ssr_criteria(data_lorenz): MIOSR, ], ) -def test_optimizers_verbose(data_lorenz, optimizer): - x, t = data_lorenz - dt = t[1] - t[0] - x_dot = FiniteDifference()._differentiate(x, t=dt) - model = optimizer(verbose=True) - model.fit(x, x_dot) - check_is_fitted(model) +def test_optimizers_verbose(data_1d, optimizer): + y, _ = data_1d + opt = optimizer(verbose=True) + opt, x = _align_optimizer_and_1dfeatures(opt, y) + opt.verbose = True + opt.fit(x, y) + check_is_fitted(opt) @pytest.mark.parametrize( @@ -1202,14 +1119,12 @@ def test_optimizers_verbose(data_lorenz, optimizer): TrappingSR3, ], ) -def test_optimizers_verbose_cvxpy(data_lorenz, optimizer): - x, t = data_lorenz - dt = t[1] - t[0] - x_dot = FiniteDifference()._differentiate(x, t=dt) - - model = optimizer(verbose_cvxpy=True) - model.fit(x, x_dot) - check_is_fitted(model) +def test_optimizers_verbose_cvxpy(data_1d, optimizer): + y, _ = data_1d + opt = optimizer(verbose_cvxpy=True) + opt, x = _align_optimizer_and_1dfeatures(opt, y) + opt.fit(x, y) + check_is_fitted(opt) def test_frols_error_linear_dependence(): @@ -1220,6 +1135,122 @@ def test_frols_error_linear_dependence(): opt.fit(x, y) +def test_sparse_subset_multitarget(): + A = np.eye(4) + b = np.array([[1, 1, 0.5, 1], [1, 1, 1, 0.5]]).T + opt = STLSQ(unbias=False, threshold=0.5, alpha=0.1, sparse_ind=[2, 3]) + opt.fit(A, b) + X = opt.coef_ + Y = opt.optvar_non_sparse_ + assert X[0, 0] == 0.0 + assert 0.0 < X[0, 1] < 1.0 + np.testing.assert_equal(Y[:, :2], np.ones((2, 2))) + assert X[1, 1] == 0.0 + assert 0.0 < X[1, 0] < 1.0 + + +def test_sparse_subset_off_diagonal(): + A = np.array([[1, 1], [0, 1]]) + b = np.array([1, 1]) + opt = STLSQ(unbias=False, threshold=0.1, alpha=0.1, sparse_ind=[1]) + opt.fit(A, b) + X = opt.coef_ + Y = opt.optvar_non_sparse_ + assert Y[0, 0] > 0.0 and Y[0, 0] < 0.5 + assert X[0, 0] > 0.5 and X[0, 0] < 1.0 + + +def test_sparse_subset_unbias(): + A = np.array([[1, 1], [0, 1]]) + b = np.array([1, 1]) + opt = STLSQ(unbias=True, threshold=0.1, alpha=0.1, sparse_ind=[1]) + opt.fit(A, b) + X = opt.coef_ + Y = opt.optvar_non_sparse_ + assert np.abs(Y[0, 0]) < 2e-16 + assert np.abs(X[0, 0] - 1.0) < 2e-16 + + +def test_remove_and_decrement(): + existing_vals = np.array([2, 3, 4, 5]) + vals_to_remove = np.array([3, 5]) + expected = np.array([2, 3]) + result = _remove_and_decrement( + existing_vals=existing_vals, vals_to_remove=vals_to_remove + ) + np.testing.assert_array_equal(expected, result) + + +@pytest.mark.parametrize("include_bias", (True, False)) +def test_trapping_constraints(include_bias): + # x, y, x^2, xy, y^2 + constraint_rhs, constraint_lhs = _make_constraints(2, include_bias=include_bias) + stable_coefs = np.array([[0, 0, 0, 1, -1], [0, 0, -1, 1, 0]]) + if include_bias: + stable_coefs = np.concatenate(([[0], [0]], stable_coefs), axis=1) + result = np.tensordot(constraint_lhs, stable_coefs, ((1, 2), (1, 0))) + np.testing.assert_array_equal(constraint_rhs, result) + _, lg_constraint = _make_constraints(4, include_bias=include_bias) + # constraint should be full-rank + expected = len(lg_constraint) + result = np.linalg.matrix_rank(lg_constraint.reshape((expected, -1))) + assert result == expected + + +def test_trapping_triple_mixed_constraint(): + # xy, xz, yz + stable_coefs = np.array([[0, 0, -1], [0, 0.5, 0], [0.5, 0, 0]]) + mixed_terms = {frozenset((0, 1)): 0, frozenset((0, 2)): 1, frozenset((1, 2)): 2} + constraint_lhs = _antisymm_triple_constraints(3, 3, mixed_terms) + result = np.tensordot(constraint_lhs, stable_coefs, ((1, 2), (1, 0))) + np.testing.assert_array_equal(result, np.zeros_like(result)) + + +def test_trapping_double_constraint(): + stable_coefs = np.array( + [ + # w^2, wx, wy, wz, x^2, xy, xz, y^2, yz, z^2 + [0, 1, 2, 3, -4, 0, 0, -8, 0, -9], # w + [-1, 4, 0, 0, 0, 5, 6, -10, 0, -11], # x + [-2, 0, 8, 0, -5, 10, 0, 0, 7, -12], # y + [-3, 0, 0, 9, -6, 0, 11, -7, 12, 0], # z + ] + ) + pure_terms = {0: 0, 1: 4, 2: 7, 3: 9} + mixed_terms = { + frozenset((0, 1)): 1, + frozenset((0, 2)): 2, + frozenset((0, 3)): 3, + frozenset((1, 2)): 5, + frozenset((1, 3)): 6, + frozenset((2, 3)): 8, + } + constraint_lhs = _antisymm_double_constraint(4, 10, pure_terms, mixed_terms) + result = np.tensordot(constraint_lhs, stable_coefs, ((1, 2), (1, 0))) + np.testing.assert_array_equal(result, np.zeros_like(result)) + # constraint should be full-rank + expected = len(constraint_lhs) + result = np.linalg.matrix_rank(constraint_lhs.reshape((expected, -1))) + assert result == expected + + +@pytest.mark.parametrize( + ("opt_cls", "opt_args"), + ( + (MIOSR, {"target_sparsity": 7}), + (SBR, {"num_warmup": 10, "num_samples": 10}), + ), +) +def test_pickle(data_lorenz, opt_cls, opt_args): + x, t = data_lorenz + y = PolynomialLibrary(degree=2).fit_transform(x) + opt = opt_cls(**opt_args).fit(x, y) + expected = opt.coef_ + new_opt = pickle.loads(pickle.dumps(opt)) + result = new_opt.coef_ + np.testing.assert_array_equal(result, expected) + + @pytest.fixture def poly_lib_terms_coef_bias(scope="session"): lib = PolynomialLibrary(2, include_bias=True).fit(np.zeros((1, 2))) @@ -1270,3 +1301,108 @@ def test_PQ(lib_terms_coeffs): expected = np.array([[[4.0, 2.5], [2.5, 6]], [[10.0, 5.5], [5.5, 12.0]]]) result = np.einsum("ijklm,lm", PQ, coeffs) np.testing.assert_array_equal(result, expected) + + +def test_enstrophy_constraints_imply_enstrophy_symmetry(): + n_tgts = 4 + root = np.random.normal(size=(n_tgts, n_tgts)) + mod_matrix = root @ root.T + bias = False + lib = PolynomialLibrary(2, include_bias=bias).fit(np.ones((1, n_tgts))) + terms = [(t_ind, exps) for t_ind, exps in enumerate(lib.powers_)] + PQ = TrappingSR3._build_PQ(terms) + + _, constraint_lhs = _make_constraints(n_tgts, include_bias=bias) + constraint_lhs = np.tensordot(constraint_lhs, mod_matrix, axes=1) + n_constraint, n_features, _ = constraint_lhs.shape + constraint_mat = constraint_lhs.reshape((n_constraint, -1)) + coeff_basis = scipy.linalg.null_space(constraint_mat) + _, constraint_nullity = coeff_basis.shape + coeffs = coeff_basis @ np.random.normal(size=(constraint_nullity, 1)) + coeffs = coeffs.reshape((n_features, n_tgts)) + + Q = np.tensordot(PQ, coeffs, axes=([4, 3], [0, 1])) + Q_tilde = np.tensordot(mod_matrix, Q, axes=1) + Q_permsum = ( + Q_tilde + np.transpose(Q_tilde, [1, 2, 0]) + np.transpose(Q_tilde, [2, 0, 1]) + ) + np.testing.assert_allclose(np.zeros_like(Q_permsum), Q_permsum, atol=1e-14) + + +def test_enstrophy_symmetry_implies_enstrophy_constraints(): + n_tgts = 4 + root = np.random.normal(size=(n_tgts, n_tgts)) + mod_matrix = root @ root.T + mod_inv = np.linalg.inv(mod_matrix) + bias = False + lib = PolynomialLibrary(2, include_bias=bias).fit(np.ones((1, n_tgts))) + terms = [(t_ind, exps) for t_ind, exps in enumerate(lib.powers_)] + PQ = TrappingSR3._build_PQ(terms) + PQinv = np.zeros_like(PQ) + PQinv[np.where(PQ != 0)] = 1 + + Q_tilde = np.random.normal(size=(n_tgts, n_tgts, n_tgts)) + Q_tilde[(range(n_tgts),) * 3] = 0 + Q_tilde = (Q_tilde + np.transpose(Q_tilde, [0, 2, 1])) / 2 + Q_tilde -= ( + Q_tilde + np.transpose(Q_tilde, [1, 2, 0]) + np.transpose(Q_tilde, [2, 0, 1]) + ) / 3 + # Assert symmetry + Qperm = ( + Q_tilde + np.transpose(Q_tilde, [1, 2, 0]) + np.transpose(Q_tilde, [2, 0, 1]) + ) + np.testing.assert_allclose(Qperm, np.zeros_like(Qperm), atol=1e-15) + Q = np.tensordot(mod_inv, Q_tilde, axes=1) + + # transpose: make_constraints is (features, targets), but PQ is (targets, features) + coeffs = np.tensordot(PQinv, Q, axes=([0, 1, 2], [0, 1, 2])).T + expected, constraint_lhs = _make_constraints(n_tgts, include_bias=bias) + constraint_lhs = np.tensordot(constraint_lhs, mod_matrix, axes=1) + n_constraints, _, _ = constraint_lhs.shape + result = constraint_lhs.reshape((n_constraints, -1)) @ coeffs.flatten() + np.testing.assert_allclose(result, expected, atol=1e-9) + + +def test_constraints_imply_symmetry(): + n_tgts = 4 + bias = False + lib = PolynomialLibrary(2, include_bias=bias).fit(np.ones((1, n_tgts))) + terms = [(t_ind, exps) for t_ind, exps in enumerate(lib.powers_)] + PQ = TrappingSR3._build_PQ(terms) + + _, constraint_lhs = _make_constraints(n_tgts, include_bias=bias) + n_constraint, n_features, _ = constraint_lhs.shape + constraint_mat = constraint_lhs.reshape((n_constraint, -1)) + coeff_basis = scipy.linalg.null_space(constraint_mat) + _, constraint_nullity = coeff_basis.shape + coeffs = coeff_basis @ np.random.normal(size=(constraint_nullity, 1)) + coeffs = coeffs.reshape((n_features, n_tgts)) + + Q = np.tensordot(PQ, coeffs, axes=([4, 3], [0, 1])) + Q_permsum = Q + np.transpose(Q, [1, 2, 0]) + np.transpose(Q, [2, 0, 1]) + np.testing.assert_allclose(np.zeros_like(Q_permsum), Q_permsum, atol=1e-15) + + +def test_symmetry_implies_constraints(): + n_tgts = 4 + bias = False + lib = PolynomialLibrary(2, include_bias=bias).fit(np.ones((1, n_tgts))) + terms = [(t_ind, exps) for t_ind, exps in enumerate(lib.powers_)] + PQ = TrappingSR3._build_PQ(terms) + PQinv = np.zeros_like(PQ) + PQinv[np.where(PQ != 0)] = 1 + + Q = np.random.normal(size=(n_tgts, n_tgts, n_tgts)) + Q[(range(n_tgts),) * 3] = 0 + Q = (Q + np.transpose(Q, [0, 2, 1])) / 2 + Q -= (Q + np.transpose(Q, [1, 2, 0]) + np.transpose(Q, [2, 0, 1])) / 3 + # Assert symmetry + Qperm = Q + np.transpose(Q, [1, 2, 0]) + np.transpose(Q, [2, 0, 1]) + np.testing.assert_allclose(Qperm, np.zeros_like(Qperm), atol=1e-15) + + # transpose: make_constraints is (features, targets), but PQ is (targets, features) + coeffs = np.tensordot(PQinv, Q, axes=([0, 1, 2], [0, 1, 2])).T + expected, constraint_lhs = _make_constraints(n_tgts, include_bias=bias) + n_constraints, _, _ = constraint_lhs.shape + result = constraint_lhs.reshape((n_constraints, -1)) @ coeffs.flatten() + np.testing.assert_allclose(result, expected, atol=1e-15) diff --git a/test/test_optimizers_complexity.py b/test/test_optimizers_complexity.py new file mode 100644 index 000000000..b338fc035 --- /dev/null +++ b/test/test_optimizers_complexity.py @@ -0,0 +1,56 @@ +import pytest +from hypothesis import assume +from hypothesis import given +from hypothesis import settings +from hypothesis.strategies import integers +from sklearn.datasets import make_regression +from sklearn.linear_model import Lasso +from sklearn.linear_model import Ridge + +from pysindy.optimizers import SR3 +from pysindy.optimizers import STLSQ +from pysindy.optimizers import WrappedOptimizer + + +@pytest.mark.skip +@pytest.mark.parametrize( + "opt_cls, reg_name", + [[Lasso, "alpha"], [Ridge, "alpha"], [STLSQ, "threshold"], [SR3, "threshold"]], +) +@given( + n_samples=integers(min_value=30, max_value=50), + n_features=integers(min_value=6, max_value=10), + n_informative=integers(min_value=2, max_value=5), + random_state=integers(min_value=0, max_value=2**32 - 1), +) +@settings(max_examples=20, deadline=None) +def test_complexity_parameter( + opt_cls, reg_name, n_samples, n_features, n_informative, random_state +): + """Behaviour test for complexity 2. + + We assume that a model with a bigger regularization parameter is less complex. + """ + assume(n_informative <= n_features) + + x, y = make_regression( + n_samples=n_samples, + n_features=n_features, + n_informative=n_informative, + n_targets=1, + bias=0, + noise=0.1, + random_state=random_state, + ) + y = y.reshape(-1, 1) + + optimizers = [ + WrappedOptimizer(opt_cls(**{reg_name: reg_value}), normalize_columns=True) + for reg_value in [10, 1, 0.1, 0.001] + ] + + for opt in optimizers: + opt.fit(x, y) + + for less_complex, more_complex in zip(optimizers, optimizers[1:]): + assert less_complex.complexity <= more_complex.complexity diff --git a/test/test_pysindy.py b/test/test_pysindy.py index 7153580ba..c12c98179 100644 --- a/test/test_pysindy.py +++ b/test/test_pysindy.py @@ -22,8 +22,8 @@ from sklearn.model_selection import TimeSeriesSplit from sklearn.utils.validation import check_is_fitted +from pysindy import pysindy from pysindy import SINDy -from pysindy.differentiation import FiniteDifference from pysindy.differentiation import SINDyDerivative from pysindy.differentiation import SmoothedFiniteDifference from pysindy.feature_library import FourierLibrary @@ -33,6 +33,7 @@ from pysindy.optimizers import ConstrainedSR3 from pysindy.optimizers import SR3 from pysindy.optimizers import STLSQ +from pysindy.optimizers import WrappedOptimizer def test_get_feature_names_len(data_lorenz): @@ -81,20 +82,6 @@ def test_improper_shape_input(data_1d): check_is_fitted(model) -def test_nan_derivatives(data_lorenz): - x, t = data_lorenz - model0 = SINDy(differentiation_method=FiniteDifference(drop_endpoints=False)) - model0.fit(x, t) - - model = SINDy(differentiation_method=FiniteDifference(drop_endpoints=True)) - model.fit(x, t) - check_is_fitted(model) - - result = model.score(x, t=t) - expected = model0.score(x, t=t) - np.testing.assert_allclose(result, expected, rtol=1e-4) - - @pytest.mark.parametrize( "data", [ @@ -145,15 +132,16 @@ def test_bad_t(data): model.fit(x, t[:-1]) # Two points in t out of order - t[2], t[4] = t[4], t[2] + t_new = np.copy(t) + t_new[2], t_new[4] = t_new[4], t_new[2] with pytest.raises(ValueError): - model.fit(x, t) - t[2], t[4] = t[4], t[2] + model.fit(x, t_new) + t_new[2], t_new[4] = t_new[4], t_new[2] # Two matching times in t - t[3] = t[5] + t_new[3] = t_new[5] with pytest.raises(ValueError): - model.fit(x, t) + model.fit(x, t_new) @pytest.mark.parametrize( @@ -199,8 +187,8 @@ def test_differentiate_returns_compatible_data_type(data): STLSQ(), SR3(), ConstrainedSR3(), - Lasso(fit_intercept=False), - ElasticNet(fit_intercept=False), + WrappedOptimizer(Lasso(fit_intercept=False)), + WrappedOptimizer(ElasticNet(fit_intercept=False)), ], ) def test_predict(data, optimizer): @@ -222,11 +210,13 @@ def test_predict(data, optimizer): ) def test_simulate(data): x, t = data - model = SINDy() + model = SINDy(feature_library=PolynomialLibrary(degree=1)) model.fit(x, t) - x1 = model.simulate(np.ravel(x[0]), t) + x1 = model.simulate(np.ravel(x[0]), t, integrator_kws={"rtol": 0.1}) assert len(x1) == len(t) - x1 = model.simulate(np.ravel(x[0]), t, integrator="odeint") + x1 = model.simulate( + np.ravel(x[0]), t, integrator="odeint", integrator_kws={"rtol": 0.1} + ) assert len(x1) == len(t) with pytest.raises(ValueError): x1 = model.simulate(np.ravel(x[0]), t, integrator="None") @@ -237,8 +227,8 @@ def test_simulate(data): [ PolynomialLibrary(degree=3), FourierLibrary(n_frequencies=3), - pytest.lazy_fixture("data_custom_library"), - pytest.lazy_fixture("data_sindypi_library"), + pytest.lazy_fixture("custom_library"), + pytest.lazy_fixture("sindypi_library"), PolynomialLibrary() + FourierLibrary(), ], ) @@ -302,11 +292,8 @@ def test_score(data): def test_score_pde(data_1d_random_pde): t, x, u, u_dot = data_1d_random_pde - library_functions = [lambda x: x, lambda x: x * x] - library_function_names = [lambda x: x, lambda x: x + x] pde_lib = PDELibrary( - library_functions=library_functions, - function_names=library_function_names, + function_library=PolynomialLibrary(degree=2, include_bias=False), derivative_order=4, spatial_grid=x, include_bias=True, @@ -327,8 +314,7 @@ def test_score_pde(data_1d_random_pde): X, T = np.meshgrid(x, t) XT = np.array([X, T]).T weak_lib = WeakPDELibrary( - library_functions=library_functions, - function_names=library_function_names, + function_library=PolynomialLibrary(degree=2, include_bias=False), derivative_order=4, spatiotemporal_grid=XT, include_bias=True, @@ -347,62 +333,50 @@ def test_fit_multiple_trajectories(data_multiple_trajectories): x, t = data_multiple_trajectories model = SINDy() - # Should fail if multiple_trajectories flag is not set - with pytest.raises(ValueError): - model.fit(x, t=t) - - model.fit(x, multiple_trajectories=True) + model.fit(x) check_is_fitted(model) - model.fit(x, t=t, multiple_trajectories=True) - assert model.score(x, t=t, multiple_trajectories=True) > 0.8 + model.fit(x, t=t) + assert model.score(x, t=t) > 0.8 model = SINDy() - model.fit(x, x_dot=x, multiple_trajectories=True) + model.fit(x, x_dot=x) check_is_fitted(model) model = SINDy() - model.fit(x, t=t, x_dot=x, multiple_trajectories=True) + model.fit(x, t=t, x_dot=x) check_is_fitted(model) # Test validate_input t[0] = None with pytest.raises(ValueError): - model.fit(x, t=t, multiple_trajectories=True) + model.fit(x, t=t) def test_predict_multiple_trajectories(data_multiple_trajectories): x, t = data_multiple_trajectories model = SINDy() - model.fit(x, t=t, multiple_trajectories=True) - - # Should fail if multiple_trajectories flag is not set - with pytest.raises(ValueError): - model.predict(x) + model.fit(x, t=t) - p = model.predict(x, multiple_trajectories=True) + p = model.predict(x) assert len(p) == len(x) def test_score_multiple_trajectories(data_multiple_trajectories): x, t = data_multiple_trajectories model = SINDy() - model.fit(x, t=t, multiple_trajectories=True) - - # Should fail if multiple_trajectories flag is not set - with pytest.raises(ValueError): - model.score(x) + model.fit(x, t=t) - s = model.score(x, multiple_trajectories=True) + s = model.score(x) assert s <= 1 - s = model.score(x, t=t, multiple_trajectories=True) + s = model.score(x, t=t) assert s <= 1 - s = model.score(x, x_dot=x, multiple_trajectories=True) + s = model.score(x, x_dot=x) assert s <= 1 - s = model.score(x, t=t, x_dot=x, multiple_trajectories=True) + s = model.score(x, t=t, x_dot=x) assert s <= 1 @@ -450,21 +424,24 @@ def test_score_discrete_time(data_discrete_time): assert model.score(x, x_dot=x) < 1 +def test_bad_multiple_trajectories(data_multiple_trajectories): + x, t = data_multiple_trajectories + with pytest.raises(TypeError): + pysindy._check_multiple_trajectories(x, x_dot=x[0], u=None) + with pytest.raises(ValueError): + pysindy._check_multiple_trajectories(x, x_dot=x[:-1], u=None) + + def test_fit_discrete_time_multiple_trajectories( data_discrete_time_multiple_trajectories, ): x = data_discrete_time_multiple_trajectories - - # Should fail if multiple_trajectories flag is not set model = SINDy(discrete_time=True) - with pytest.raises(ValueError): - model.fit(x) - - model.fit(x, multiple_trajectories=True) + model.fit(x) check_is_fitted(model) model = SINDy(discrete_time=True) - model.fit(x, x_dot=x, multiple_trajectories=True) + model.fit(x, x_dot=x) check_is_fitted(model) @@ -473,13 +450,9 @@ def test_predict_discrete_time_multiple_trajectories( ): x = data_discrete_time_multiple_trajectories model = SINDy(discrete_time=True) - model.fit(x, multiple_trajectories=True) - - # Should fail if multiple_trajectories flag is not set - with pytest.raises(ValueError): - model.predict(x) + model.fit(x) - y = model.predict(x, multiple_trajectories=True) + y = model.predict(x) assert len(y) == len(x) @@ -488,17 +461,13 @@ def test_score_discrete_time_multiple_trajectories( ): x = data_discrete_time_multiple_trajectories model = SINDy(discrete_time=True) - model.fit(x, multiple_trajectories=True) - - # Should fail if multiple_trajectories flag is not set - with pytest.raises(ValueError): - model.score(x) + model.fit(x) - s = model.score(x, multiple_trajectories=True) + s = model.score(x) assert s > 0.75 # x is not its own derivative, so we expect bad performance here - s = model.score(x, x_dot=x, multiple_trajectories=True) + s = model.score(x, x_dot=x) assert s < 1 @@ -539,7 +508,7 @@ def test_print_discrete_time_multiple_trajectories( ): x = data_discrete_time_multiple_trajectories model = SINDy(discrete_time=True) - model.fit(x, multiple_trajectories=True) + model.fit(x) model.print() @@ -554,26 +523,20 @@ def test_differentiate(data_lorenz, data_multiple_trajectories): model.differentiate(x, t) x, t = data_multiple_trajectories - model.differentiate(x, t, multiple_trajectories=True) + model.differentiate(x, t) model = SINDy(discrete_time=True) with pytest.raises(RuntimeError): model.differentiate(x) -def test_coefficients(data_lorenz): +def test_coefficients_equals_complexity(data_lorenz): x, t = data_lorenz model = SINDy() model.fit(x, t) c = model.coefficients() - assert np.count_nonzero(c) < 10 - - -def test_complexity(data_lorenz): - x, t = data_lorenz - model = SINDy() - model.fit(x, t) - assert model.complexity < 10 + assert model.complexity == np.count_nonzero(c) + assert model.complexity < 30 def test_simulate_errors(data_lorenz): @@ -608,23 +571,6 @@ def test_fit_warn(data_lorenz, params, warning): with pytest.warns(warning): model.fit(x, t=t) - with pytest.warns(None) as warn_record: - model.fit(x, t=t, quiet=True) - - while True: - try: - warn_record.pop(PendingDeprecationWarning) - except AssertionError: - break - - while True: - try: - warn_record.pop(DeprecationWarning) - except AssertionError: - break - - assert len(warn_record) == 0 - def test_cross_validation(data_lorenz): x, t = data_lorenz @@ -674,210 +620,6 @@ def test_linear_constraints(data_lorenz): ) -def test_ensemble(data_lorenz): - x, t = data_lorenz - library = PolynomialLibrary().fit(x) - - constraint_rhs = np.ones(2) - constraint_lhs = np.zeros((2, x.shape[1] * library.n_output_features_)) - - target_1, target_2 = 1, 3 - constraint_lhs[0, 3] = target_1 - constraint_lhs[1, library.n_output_features_] = target_2 - - optimizer = ConstrainedSR3( - constraint_lhs=constraint_lhs, constraint_rhs=constraint_rhs - ) - model = SINDy(feature_library=library, optimizer=optimizer).fit( - x, t, ensemble=True, n_models=10, n_subset=len(t) // 2 - ) - assert len(model.coef_list) == 10 - - -def test_ensemble_pdes(data_1d_random_pde): - t, spatial_grid, u, u_dot = data_1d_random_pde - library_functions = [lambda x: x, lambda x: x * x] - library_function_names = [lambda x: x, lambda x: x + x] - pde_lib = PDELibrary( - library_functions=library_functions, - function_names=library_function_names, - derivative_order=4, - spatial_grid=spatial_grid, - include_bias=True, - ) - model = SINDy(feature_library=pde_lib).fit( - u, t, ensemble=True, n_models=10, n_subset=len(t) // 2 - ) - assert len(model.coef_list) == 10 - model = SINDy(feature_library=pde_lib).fit( - u, x_dot=u_dot, ensemble=True, n_models=10, n_subset=len(t) // 2 - ) - assert len(model.coef_list) == 10 - - -def test_ensemble_weak_pdes(data_1d_random_pde): - t, x, u, u_dot = data_1d_random_pde - library_functions = [lambda x: x, lambda x: x * x] - library_function_names = [lambda x: x, lambda x: x + x] - X, T = np.meshgrid(x, t) - XT = np.array([X, T]).T - weak_lib = WeakPDELibrary( - library_functions=library_functions, - function_names=library_function_names, - derivative_order=4, - spatiotemporal_grid=XT, - include_bias=True, - ) - model = SINDy(feature_library=weak_lib).fit( - u, t=t, ensemble=True, n_models=2, n_subset=len(t) // 2 - ) - assert len(model.coef_list) == 2 - model = SINDy(feature_library=weak_lib).fit( - u, x_dot=u_dot[:, 0, :], ensemble=True, n_models=2, n_subset=len(t) // 2 - ) - assert len(model.coef_list) == 2 - - -def test_library_ensemble(data_lorenz): - x, t = data_lorenz - library = PolynomialLibrary() - model = SINDy(feature_library=library).fit( - x, t=t, library_ensemble=True, n_models=10 - ) - assert len(model.coef_list) == 10 - - -def test_library_ensemble_pde(data_1d_random_pde): - t, spatial_grid, u, u_dot = data_1d_random_pde - library_functions = [lambda x: x, lambda x: x * x] - library_function_names = [lambda x: x, lambda x: x + x] - pde_lib = PDELibrary( - library_functions=library_functions, - function_names=library_function_names, - derivative_order=4, - spatial_grid=spatial_grid, - include_bias=True, - ) - model = SINDy(feature_library=pde_lib).fit( - u, t=t, library_ensemble=True, n_models=10 - ) - assert len(model.coef_list) == 10 - model = SINDy(feature_library=pde_lib).fit( - u, x_dot=u_dot, library_ensemble=True, n_models=10 - ) - assert len(model.coef_list) == 10 - - -def test_library_ensemble_weak_pde(data_1d_random_pde): - t, x, u, u_dot = data_1d_random_pde - library_functions = [lambda x: x, lambda x: x * x] - library_function_names = [lambda x: x, lambda x: x + x] - X, T = np.meshgrid(x, t) - XT = np.array([X, T]).T - weak_lib = WeakPDELibrary( - library_functions=library_functions, - function_names=library_function_names, - derivative_order=4, - spatiotemporal_grid=XT, - include_bias=True, - ) - model = SINDy(feature_library=weak_lib).fit( - u, t=t, library_ensemble=True, n_models=10 - ) - assert len(model.coef_list) == 10 - u_dot = weak_lib.convert_u_dot_integral(u) - model = SINDy(feature_library=weak_lib).fit( - u, x_dot=u_dot, library_ensemble=True, n_models=10 - ) - assert len(model.coef_list) == 10 - - -def test_both_ensemble(data_lorenz): - x, t = data_lorenz - library = PolynomialLibrary() - model = SINDy(feature_library=library).fit( - x, t=t, ensemble=True, library_ensemble=True, n_models=2 - ) - assert len(model.coef_list) == 2 - - -def test_both_ensemble_pde(data_1d_random_pde): - t, spatial_grid, u, u_dot = data_1d_random_pde - library_functions = [lambda x: x, lambda x: x * x] - library_function_names = [lambda x: x, lambda x: x + x] - pde_lib = PDELibrary( - library_functions=library_functions, - function_names=library_function_names, - derivative_order=4, - spatial_grid=spatial_grid, - include_bias=True, - ) - model = SINDy(feature_library=pde_lib).fit( - u, t=t, ensemble=True, library_ensemble=True, n_models=2 - ) - assert len(model.coef_list) == 2 - model = SINDy(feature_library=pde_lib).fit( - u, x_dot=u_dot, ensemble=True, library_ensemble=True, n_models=2 - ) - assert len(model.coef_list) == 2 - - -def test_both_ensemble_weak_pde(data_1d_random_pde): - t, x, u, u_dot = data_1d_random_pde - library_functions = [lambda x: x, lambda x: x * x] - library_function_names = [lambda x: x, lambda x: x + x] - X, T = np.meshgrid(x, t) - XT = np.array([X, T]).T - weak_lib = WeakPDELibrary( - library_functions=library_functions, - function_names=library_function_names, - derivative_order=4, - spatiotemporal_grid=XT, - include_bias=True, - ) - model = SINDy(feature_library=weak_lib).fit( - u, t=t, ensemble=True, library_ensemble=True, n_models=2 - ) - assert len(model.coef_list) == 2 - u_dot = weak_lib.convert_u_dot_integral(u) - model = SINDy(feature_library=weak_lib).fit( - u, x_dot=u_dot, ensemble=True, library_ensemble=True, n_models=2 - ) - assert len(model.coef_list) == 2 - - -@pytest.mark.parametrize( - "params", - [ - dict(ensemble=False, n_models=-1, n_subset=1), - dict(ensemble=False, n_models=0, n_subset=1), - dict(ensemble=False, n_models=1, n_subset=0), - dict(ensemble=False, n_models=1, n_subset=-1), - dict(ensemble=True, n_models=-1, n_subset=1), - dict(ensemble=True, n_models=0, n_subset=1), - dict(ensemble=True, n_models=1, n_subset=0), - dict(ensemble=True, n_models=1, n_subset=-1), - dict(ensemble=True, n_models=1, n_subset=0), - ], -) -def test_bad_ensemble_params(data_lorenz, params): - x, t = data_lorenz - library = PolynomialLibrary().fit(x) - - constraint_rhs = np.ones(2) - constraint_lhs = np.zeros((2, x.shape[1] * library.n_output_features_)) - - target_1, target_2 = 1, 3 - constraint_lhs[0, 3] = target_1 - constraint_lhs[1, library.n_output_features_] = target_2 - - optimizer = ConstrainedSR3( - constraint_lhs=constraint_lhs, constraint_rhs=constraint_rhs - ) - with pytest.raises(ValueError): - SINDy(feature_library=library, optimizer=optimizer).fit(x, t, **params) - - def test_data_shapes(): model = SINDy() n = 10 @@ -893,14 +635,11 @@ def test_data_shapes(): model.fit(x) -def test_multiple_trajectories_and_ensemble(diffuse_multiple_trajectories): +def test_diffusion_pde(diffuse_multiple_trajectories): t, x, u = diffuse_multiple_trajectories - library_functions = [lambda x: x] - library_function_names = [lambda x: x] pde_lib = PDELibrary( - library_functions=library_functions, - function_names=library_function_names, + function_library=PolynomialLibrary(degree=1, include_bias=False), derivative_order=2, spatial_grid=x, ) @@ -909,41 +648,19 @@ def test_multiple_trajectories_and_ensemble(diffuse_multiple_trajectories): XT = np.transpose([X, T], [1, 2, 0]) weak_lib = WeakPDELibrary( - library_functions=library_functions, - function_names=library_function_names, + function_library=PolynomialLibrary(degree=1, include_bias=False), derivative_order=2, spatiotemporal_grid=XT, K=100, ) - optimizer = STLSQ(threshold=0.1, alpha=1e-5, normalize_columns=False) - model = SINDy(feature_library=pde_lib, optimizer=optimizer, feature_names=["u"]) - model.fit(u, multiple_trajectories=True, t=t, ensemble=False) - print(model.coefficients(), model.coefficients()[0][-1]) - assert abs(model.coefficients()[0][-1] - 1) < 1e-2 - assert np.all(model.coefficients()[0][:-1] == 0) - - model = SINDy(feature_library=weak_lib, optimizer=optimizer, feature_names=["u"]) - model.fit(u, multiple_trajectories=True, t=t, ensemble=False) - assert abs(model.coefficients()[0][-1] - 1) < 1e-2 - assert np.all(model.coefficients()[0][:-1] == 0) - - model = SINDy(feature_library=pde_lib, optimizer=optimizer, feature_names=["u"]) - model.fit(u, multiple_trajectories=True, t=t, ensemble=True, n_subset=len(t)) - assert abs(model.coefficients()[0][-1] - 1) < 1e-2 - assert np.all(model.coefficients()[0][:-1] == 0) - - model = SINDy(feature_library=weak_lib, optimizer=optimizer, feature_names=["u"]) - model.fit(u, multiple_trajectories=True, t=t, ensemble=True, n_subset=len(t)) - assert abs(model.coefficients()[0][-1] - 1) < 1e-2 - assert np.all(model.coefficients()[0][:-1] == 0) - + optimizer = STLSQ(threshold=0.2, alpha=1e-5, normalize_columns=False) model = SINDy(feature_library=pde_lib, optimizer=optimizer, feature_names=["u"]) - model.fit(u, multiple_trajectories=True, t=t, ensemble=True) - assert abs(model.coefficients()[0][-1] - 1) < 1e-2 - assert np.all(model.coefficients()[0][:-1] == 0) + model.fit(u, t=t) + assert abs(model.coefficients()[0, -1] - 1) < 1e-1 + assert np.all(model.coefficients()[0, :-1] == 0) model = SINDy(feature_library=weak_lib, optimizer=optimizer, feature_names=["u"]) - model.fit(u, multiple_trajectories=True, t=t, ensemble=True) - assert abs(model.coefficients()[0][-1] - 1) < 1e-2 - assert np.all(model.coefficients()[0][:-1] == 0) + model.fit(u, t=t) + assert abs(model.coefficients()[0, -1] - 1) < 1e-1 + assert np.all(model.coefficients()[0, :-1] == 0) diff --git a/test/deeptime/test_scikit_time.py b/test/test_scikit_time.py similarity index 90% rename from test/deeptime/test_scikit_time.py rename to test/test_scikit_time.py index 1a5115fed..9a695d1c6 100644 --- a/test/deeptime/test_scikit_time.py +++ b/test/test_scikit_time.py @@ -1,6 +1,5 @@ import pytest from numpy.testing import assert_allclose -from sklearn import __version__ from sklearn.exceptions import NotFittedError from pysindy import FourierLibrary @@ -38,10 +37,7 @@ def test_model_sindy_equivalence(data_lorenz_c_1d): assert_allclose(model.coefficients(), sindy_model.coefficients()) print(sindy_model.n_features_in_) - if float(__version__[:3]) >= 1.0: - assert model.n_features_in_ == sindy_model.n_features_in_ - else: - assert model.n_input_features_ == sindy_model.n_input_features_ + assert model.n_features_in_ == sindy_model.n_features_in_ assert model.n_output_features_ == sindy_model.n_output_features_ assert model.n_control_features_ == sindy_model.n_control_features_ diff --git a/test/test_sindyc.py b/test/test_sindyc.py index 08861d86c..aa3141274 100644 --- a/test/test_sindyc.py +++ b/test/test_sindyc.py @@ -30,7 +30,7 @@ def test_not_fitted(data_lorenz_c_1d): with pytest.raises(NotFittedError): model.predict(x, u=u) with pytest.raises(NotFittedError): - model.simulate(x[0], t=t, u=u_fun) + model.simulate(x[0], t=t, u=u_fun, integrator_kws={"rtol": 0.1}) def test_improper_shape_input(data_1d): @@ -121,16 +121,17 @@ def test_bad_t(data): with pytest.raises(ValueError): model.fit(x, u=u, t=t[:-1]) + t_new = np.copy(t) # Two points in t out of order - t[2], t[4] = t[4], t[2] + t_new[2], t_new[4] = t_new[4], t_new[2] with pytest.raises(ValueError): - model.fit(x, u=u, t=t) - t[2], t[4] = t[4], t[2] + model.fit(x, u=u, t=t_new) + t_new[2], t_new[4] = t_new[4], t_new[2] # Two matching times in t - t[3] = t[5] + t_new[3] = t_new[5] with pytest.raises(ValueError): - model.fit(x, u=u, t=t) + model.fit(x, u=u, t=t_new) @pytest.mark.parametrize( @@ -183,7 +184,7 @@ def test_simulate(data): x, t, u, u_fun = data model = SINDy() model.fit(x, u=u, t=t) - x1 = model.simulate(x[0], t=t, u=u_fun) + x1 = model.simulate(x[0], t=t, u=u_fun, integrator_kws={"rtol": 0.1}) assert len(x1) == len(t) @@ -198,9 +199,9 @@ def test_simulate_with_interp(data): model.fit(x, u=u, t=t) u_fun = interp1d(t, u, axis=0) - x1 = model.simulate(x[0], t=t[:-1], u=u_fun) + x1 = model.simulate(x[0], t=t, u=u_fun, integrator_kws={"rtol": 0.1}) - assert len(x1) == len(t) - 1 + assert len(x1) == len(t) @pytest.mark.parametrize( @@ -212,7 +213,7 @@ def test_simulate_with_vector_control_input(data): model = SINDy() model.fit(x, u=u, t=t) - x1 = model.simulate(x[0], t=t, u=u) + x1 = model.simulate(x[0], t=t, u=u, integrator_kws={"rtol": 0.1}) assert len(x1) == len(t) - 1 @@ -241,33 +242,18 @@ def test_fit_multiple_trajectories(data_multiple_trajectories): model = SINDy() - # Should fail if multiple_trajectories flag is not set - with pytest.raises(ValueError): - model.fit(x, u=u, t=t) - - # Should fail if x or u is not a list - with pytest.raises(TypeError): - model.fit(x, u=u[0], multiple_trajectories=True) - - with pytest.raises(TypeError): - model.fit(x[0], u=u, multiple_trajectories=True) - - # x and u should be lists of the same length - with pytest.raises(ValueError): - model.fit(x[:-1], u=u, multiple_trajectories=True) - - model.fit(x, u=u, multiple_trajectories=True) + model.fit(x, u=u) check_is_fitted(model) - model.fit(x, u=u, t=t, multiple_trajectories=True) - assert model.score(x, u=u, t=t, multiple_trajectories=True) > 0.8 + model.fit(x, u=u, t=t) + assert model.score(x, u=u, t=t) > 0.8 model = SINDy() - model.fit(x, u=u, x_dot=x, multiple_trajectories=True) + model.fit(x, u=u, x_dot=x) check_is_fitted(model) model = SINDy() - model.fit(x, u=u, t=t, x_dot=x, multiple_trajectories=True) + model.fit(x, u=u, t=t, x_dot=x) check_is_fitted(model) @@ -276,13 +262,9 @@ def test_predict_multiple_trajectories(data_multiple_trajectories): u = [np.ones((xi.shape[0], 2)) for xi in x] model = SINDy() - model.fit(x, u=u, t=t, multiple_trajectories=True) - - # Should fail if multiple_trajectories flag is not set - with pytest.raises(ValueError): - model.predict(x, u=u) + model.fit(x, u=u, t=t) - p = model.predict(x, u=u, multiple_trajectories=True) + p = model.predict(x, u=u) assert len(p) == len(x) @@ -291,22 +273,18 @@ def test_score_multiple_trajectories(data_multiple_trajectories): u = [np.ones((xi.shape[0], 2)) for xi in x] model = SINDy() - model.fit(x, u=u, t=t, multiple_trajectories=True) - - # Should fail if multiple_trajectories flag is not set - with pytest.raises(ValueError): - model.score(x, u=u) + model.fit(x, u=u, t=t) - s = model.score(x, u=u, multiple_trajectories=True) + s = model.score(x, u=u) assert s <= 1 - s = model.score(x, u=u, t=t, multiple_trajectories=True) + s = model.score(x, u=u, t=t) assert s <= 1 - s = model.score(x, u=u, x_dot=x, multiple_trajectories=True) + s = model.score(x, u=u, x_dot=x) assert s <= 1 - s = model.score(x, u=u, t=t, x_dot=x, multiple_trajectories=True) + s = model.score(x, u=u, t=t, x_dot=x) assert s <= 1 @@ -382,17 +360,12 @@ def test_fit_discrete_time_multiple_trajectories( data_discrete_time_multiple_trajectories_c, ): x, u = data_discrete_time_multiple_trajectories_c - - # Should fail if multiple_trajectories flag is not set model = SINDy(discrete_time=True) - with pytest.raises(ValueError): - model.fit(x, u=u) - - model.fit(x, u=u, multiple_trajectories=True) + model.fit(x, u=u) check_is_fitted(model) model = SINDy(discrete_time=True) - model.fit(x, u=u, x_dot=x, multiple_trajectories=True) + model.fit(x, u=u, x_dot=x) check_is_fitted(model) @@ -401,13 +374,9 @@ def test_predict_discrete_time_multiple_trajectories( ): x, u = data_discrete_time_multiple_trajectories_c model = SINDy(discrete_time=True) - model.fit(x, u=u, multiple_trajectories=True) - - # Should fail if multiple_trajectories flag is not set - with pytest.raises(ValueError): - model.predict(x, u=u) + model.fit(x, u=u) - y = model.predict(x, u=u, multiple_trajectories=True) + y = model.predict(x, u=u) assert len(y) == len(x) @@ -416,17 +385,13 @@ def test_score_discrete_time_multiple_trajectories( ): x, u = data_discrete_time_multiple_trajectories_c model = SINDy(discrete_time=True) - model.fit(x, u=u, multiple_trajectories=True) - - # Should fail if multiple_trajectories flag is not set - with pytest.raises(ValueError): - model.score(x, u=u) + model.fit(x, u=u) - s = model.score(x, u=u, multiple_trajectories=True) + s = model.score(x, u=u) assert s > 0.75 # x is not its own derivative, so we expect bad performance here - s = model.score(x, u=u, x_dot=x, multiple_trajectories=True) + s = model.score(x, u=u, x_dot=x) assert s < 1 @@ -454,23 +419,6 @@ def test_fit_warn(data_lorenz_c_1d, params, warning): with pytest.warns(warning): model.fit(x, u=u, t=t) - with pytest.warns(None) as warn_record: - model.fit(x, u=u, t=t, quiet=True) - - while True: - try: - warn_record.pop(PendingDeprecationWarning) - except AssertionError: - break - - while True: - try: - warn_record.pop(DeprecationWarning) - except AssertionError: - break - - assert len(warn_record) == 0 - def test_u_omitted(data_lorenz_c_1d): x, t, u, _ = data_lorenz_c_1d @@ -500,7 +448,7 @@ def test_extra_u_warn(data_lorenz_c_1d): model.score(x, u=u) with pytest.warns(UserWarning): - model.simulate(x[0], t=t, u=u) + model.simulate(x[0], t=t, u=u, integrator_kws={"rtol": 0.1}) def test_extra_u_warn_discrete(data_discrete_time_c): @@ -515,4 +463,4 @@ def test_extra_u_warn_discrete(data_discrete_time_c): model.score(x, u=u) with pytest.warns(UserWarning): - model.simulate(x[0], u=u, t=10) + model.simulate(x[0], u=u, t=10, integrator_kws={"rtol": 0.1}) diff --git a/test/utils/test_axes.py b/test/utils/test_axes.py index b1a38e6f4..6e85cd38b 100644 --- a/test/utils/test_axes.py +++ b/test/utils/test_axes.py @@ -1,17 +1,46 @@ import numpy as np import pytest from numpy.testing import assert_ +from numpy.testing import assert_array_equal from numpy.testing import assert_equal from numpy.testing import assert_raises from pysindy import AxesArray +from pysindy.utils import axes +from pysindy.utils.axes import _AxisMapping +from pysindy.utils.axes import AxesWarning + + +def test_axesarray_create(): + AxesArray(np.array(1), {}) + + +def test_concat_out(): + arr = AxesArray(np.arange(3).reshape(1, 3), {"ax_a": 0, "ax_b": 1}) + arr_out = np.empty((2, 3)).view(AxesArray) + result = np.concatenate((arr, arr), axis=0, out=arr_out) + assert_equal(result, arr_out) + + +def test_bad_concat(): + arr = AxesArray(np.arange(3).reshape(1, 3), {"ax_a": 0, "ax_b": 1}) + arr2 = AxesArray(np.arange(3).reshape(1, 3), {"ax_b": 0, "ax_c": 1}) + with pytest.raises(ValueError): + np.concatenate((arr, arr2), axis=0) def test_reduce_mean_noinf_recursion(): - arr = AxesArray(np.array([[1]]), {}) + arr = AxesArray(np.array([[1]]), {"ax_a": [0, 1]}) np.mean(arr, axis=0) +def test_repr(): + a = AxesArray(np.arange(5.0), {"ax_time": 0}) + result = a.__repr__() + expected = "AxesArray([0., 1., 2., 3., 4.])" + assert result == expected + + def test_ufunc_override(): # This is largely a clone of test_ufunc_override_with_super() from # numpy/core/tests/test_umath.py @@ -25,31 +54,31 @@ def __array_ufunc__(self, ufunc, method, *inputs, **kwargs): d = np.arange(5.0) # 1 input, 1 output - a = AxesArray(d, {}) + a = AxesArray(d, {"ax_time": 0}) b = np.sin(a) check = np.sin(d) assert_(np.all(check == b)) b = np.sin(d, out=(a,)) assert_(np.all(check == b)) assert_(b is a) - a = AxesArray(np.arange(5.0), {}) + a = AxesArray(np.arange(5.0), {"ax_time": 0}) b = np.sin(a, out=a) assert_(np.all(check == b)) # 1 input, 2 outputs - a = AxesArray(np.arange(5.0), {}) + a = AxesArray(np.arange(5.0), {"ax_time": 0}) b1, b2 = np.modf(a) b1, b2 = np.modf(d, out=(None, a)) assert_(b2 is a) - a = AxesArray(np.arange(5.0), {}) - b = AxesArray(np.arange(5.0), {}) + a = AxesArray(np.arange(5.0), {"ax_time": 0}) + b = AxesArray(np.arange(5.0), {"ax_time": 0}) c1, c2 = np.modf(a, out=(a, b)) assert_(c1 is a) assert_(c2 is b) # 2 input, 1 output - a = AxesArray(np.arange(5.0), {}) - b = AxesArray(np.arange(5.0), {}) + a = AxesArray(np.arange(5.0), {"ax_time": 0}) + b = AxesArray(np.arange(5.0), {"ax_time": 0}) c = np.add(a, b, out=a) assert_(c is a) # some tests with a non-ndarray subclass @@ -58,13 +87,13 @@ def __array_ufunc__(self, ufunc, method, *inputs, **kwargs): assert_(a.__array_ufunc__(np.add, "__call__", a, b) is NotImplemented) assert_(b.__array_ufunc__(np.add, "__call__", a, b) is NotImplemented) assert_raises(TypeError, np.add, a, b) - a = AxesArray(a, {}) + a = AxesArray(a, {"ax_time": 0}) assert_(a.__array_ufunc__(np.add, "__call__", a, b) is NotImplemented) assert_(b.__array_ufunc__(np.add, "__call__", a, b) == "A!") assert_(np.add(a, b) == "A!") # regression check for gh-9102 -- tests ufunc.reduce implicitly. d = np.array([[1, 2, 3], [1, 2, 3]]) - a = AxesArray(d, {}) + a = AxesArray(d, {"ax_time": [0, 1]}) c = a.any() check = d.any() assert_equal(c, check) @@ -109,11 +138,11 @@ def __array_ufunc__(self, ufunc, method, *inputs, **kwargs): a = d.copy().view(AxesArray) np.add.at(check, ([0, 1], [0, 2]), 1.0) np.add.at(a, ([0, 1], [0, 2]), 1.0) - assert_equal(a, check) + assert_equal(np.asarray(a), np.asarray(check)) # modified b = np.array(1.0).view(AxesArray) a = d.copy().view(AxesArray) np.add.at(a, ([0, 1], [0, 2]), b) - assert_equal(a, check) + assert_equal(np.asarray(a), np.asarray(check)) # modified def test_n_elements(): @@ -122,18 +151,547 @@ def test_n_elements(): assert arr.n_spatial == (1, 2) assert arr.n_time == 3 assert arr.n_coord == 4 - assert arr.n_sample == 1 arr2 = np.concatenate((arr, arr), axis=arr.ax_time) assert arr2.n_spatial == (1, 2) assert arr2.n_time == 6 assert arr2.n_coord == 4 - assert arr2.n_sample == 1 - - arr3 = arr[..., :2, 0] - assert arr3.n_spatial == (1, 2) - assert arr3.n_time == 2 - # No way to intercept slicing and remove ax_coord - with pytest.raises(IndexError): - assert arr3.n_coord == 1 - assert arr3.n_sample == 1 + + +def test_reshape_outer_product(): + arr = AxesArray(np.arange(4).reshape((2, 2)), {"ax_a": [0, 1]}) + merge = np.reshape(arr, (4,)) + assert merge.axes == {"ax_a": 0} + + +def test_reshape_bad_divmod(): + arr = AxesArray(np.arange(12).reshape((2, 3, 2)), {"ax_a": [0, 1], "ax_b": 2}) + with pytest.raises( + ValueError, match="Cannot reshape an AxesArray this way. Array dimension" + ): + np.reshape(arr, (4, 3)) + + +def test_reshape_fill_outer_product(): + arr = AxesArray(np.arange(4).reshape((2, 2)), {"ax_a": [0, 1]}) + merge = np.reshape(arr, (-1,)) + assert merge.axes == {"ax_a": 0} + + +def test_reshape_fill_regular(): + arr = AxesArray(np.arange(8).reshape((2, 2, 2)), {"ax_a": [0, 1], "ax_b": 2}) + merge = np.reshape(arr, (4, -1)) + assert merge.axes == {"ax_a": 0, "ax_b": 1} + + +def test_illegal_reshape(): + arr = AxesArray(np.arange(4).reshape((2, 2)), {"ax_a": [0, 1]}) + # melding across axes + with pytest.raises(ValueError, match="Cannot reshape an AxesArray"): + np.reshape(arr, (4, 1)) + + # Add a hidden 1 in the middle! maybe a matching 1 + + # different name outer product + arr = AxesArray(np.arange(4).reshape((2, 2)), {"ax_a": 0, "ax_b": 1}) + with pytest.raises(ValueError, match="Cannot reshape an AxesArray"): + np.reshape(arr, (4,)) + # newaxes + with pytest.raises(ValueError, match="Cannot reshape an AxesArray"): + np.reshape(arr, (2, 1, 2)) + + +def test_warn_toofew_axes(): + axes = {"ax_time": 0, "ax_coord": 1} + with pytest.warns(AxesWarning): + AxesArray(np.ones(8).reshape((2, 2, 2)), axes) + + +def test_toomany_axes(): + axes = {"ax_time": 0, "ax_coord": 2} + with pytest.raises(ValueError): + AxesArray(np.ones(4).reshape((2, 2)), axes) + + +def test_conflicting_axes_defn(): + axes = {"ax_time": 0, "ax_coord": 0} + with pytest.raises(ValueError): + AxesArray(np.ones(4), axes) + + +def test_missing_axis_errors(): + axes = {"ax_time": 0} + arr = AxesArray(np.arange(3), axes) + with pytest.raises(AttributeError): + arr.ax_spatial + with pytest.raises(AttributeError): + arr.n_spatial + + +def test_simple_slice(): + arr = AxesArray(np.ones(2), {"ax_coord": 0}) + assert_array_equal(arr[:], arr) + assert_array_equal(arr[slice(None)], arr) + assert arr[0] == 1 + + +# @pytest.mark.skip # TODO: make this pass +def test_0d_indexer(): + arr = AxesArray(np.ones(2), {"ax_coord": 0}) + arr_out = arr[1, ...] + assert arr_out.ndim == 0 + assert arr_out.axes == {} + assert arr_out[()] == 1 + + +def test_basic_indexing_modifies_axes(): + axes = {"ax_time": 0, "ax_coord": 1} + arr = AxesArray(np.ones(4).reshape((2, 2)), axes) + slim = arr[1, :, None] + with pytest.raises(AttributeError): + slim.ax_time + assert slim.ax_unk == 1 + assert slim.ax_coord == 0 + reverse_slim = arr[None, :, 1] + with pytest.raises(AttributeError): + reverse_slim.ax_coord + assert reverse_slim.ax_unk == 0 + assert reverse_slim.ax_time == 1 + almost_new = arr[None, None, 1, :, None, None] + with pytest.raises(AttributeError): + almost_new.ax_time + assert almost_new.ax_coord == 2 + assert set(almost_new.ax_unk) == {0, 1, 3, 4} + + +def test_insert_named_axis(): + arr = AxesArray(np.ones(1), axes={"ax_time": 0}) + expanded = arr["time", :] + result = expanded.axes + expected = {"ax_time": [0, 1]} + assert result == expected + + +def test_adv_indexing_modifies_axes(): + axes = {"ax_time": 0, "ax_coord": 1} + arr = AxesArray(np.arange(4).reshape((2, 2)), axes) + flat = arr[[0, 1], [0, 1]] + same = arr[[[0], [1]], [0, 1]] + tpose = arr[[0, 1], [[0], [1]]] + assert flat.shape == (2,) + np.testing.assert_array_equal(np.asarray(flat), np.array([0, 3])) + + assert flat.ax_time_coord == 0 + with pytest.raises(AttributeError): + flat.ax_coord + with pytest.raises(AttributeError): + flat.ax_time + + assert same.shape == arr.shape + np.testing.assert_equal(np.asarray(same), np.asarray(arr)) + assert same.ax_time_coord == [0, 1] + with pytest.raises(AttributeError): + same.ax_coord + + assert tpose.shape == arr.shape + np.testing.assert_equal(np.asarray(tpose), np.asarray(arr.T)) + assert tpose.ax_time_coord == [0, 1] + with pytest.raises(AttributeError): + tpose.ax_coord + + +def test_adv_indexing_adds_axes(): + axes = {"ax_time": 0, "ax_coord": 1} + arr = AxesArray(np.arange(4).reshape((2, 2)), axes) + fat = arr[[[0, 1], [0, 1]]] + assert fat.shape == (2, 2, 2) + assert fat.ax_time == [0, 1] + assert fat.ax_coord == 2 + + +def test_standardize_basic_indexer(): + arr = np.arange(6).reshape(2, 3) + result_indexer, result_fancy = axes._standardize_indexer(arr, Ellipsis) + assert result_indexer == [slice(None), slice(None)] + assert result_fancy == () + + result_indexer, result_fancy = axes._standardize_indexer( + arr, (np.newaxis, 1, 1, Ellipsis) + ) + assert result_indexer == [None, 1, 1] + assert result_fancy == () + + +def test_standardize_advanced_indexer(): + arr = np.arange(6).reshape(2, 3) + result_indexer, result_fancy = axes._standardize_indexer(arr, [1]) + assert result_indexer == [np.ones(1), slice(None)] + assert result_fancy == (0,) + + result_indexer, result_fancy = axes._standardize_indexer( + arr, (np.newaxis, [1], 1, Ellipsis) + ) + assert result_indexer == [None, np.ones(1), 1] + assert result_fancy == (1,) + + +def test_standardize_bool_indexer(): + arr = np.ones((1, 2)) + result, result_adv = axes._standardize_indexer(arr, [[True, True]]) + assert_equal(result, [[0, 0], [0, 1]]) + assert result_adv == (0, 1) + + +def test_reduce_AxisMapping(): + ax_map = _AxisMapping( + {"ax_a": [0, 1], "ax_b": 2, "ax_c": 3, "ax_d": 4, "ax_e": [5, 6]}, + 7, + ) + result = ax_map.remove_axis(3) + expected = {"ax_a": [0, 1], "ax_b": 2, "ax_d": 3, "ax_e": [4, 5]} + assert result == expected + result = ax_map.remove_axis(-4) + assert result == expected + + +def test_reduce_all_AxisMapping(): + ax_map = _AxisMapping({"ax_a": [0, 1], "ax_b": 2}, 3) + result = ax_map.remove_axis() + expected = {} + assert result == expected + + +def test_reduce_multiple_AxisMapping(): + ax_map = _AxisMapping( + { + "ax_a": [0, 1], + "ax_b": 2, + "ax_c": 3, + "ax_d": 4, + "ax_e": [5, 6], + }, + 7, + ) + result = ax_map.remove_axis([3, 4]) + expected = { + "ax_a": [0, 1], + "ax_b": 2, + "ax_e": [3, 4], + } + assert result == expected + + +def test_reduce_twisted_AxisMapping(): + ax_map = _AxisMapping( + { + "ax_a": [0, 6], + "ax_b": 2, + "ax_c": 3, + "ax_d": 4, + "ax_e": [1, 5], + }, + 7, + ) + result = ax_map.remove_axis([3, 4]) + expected = { + "ax_a": [0, 4], + "ax_b": 2, + "ax_e": [1, 3], + } + assert result == expected + + +def test_reduce_misordered_AxisMapping(): + ax_map = _AxisMapping({"ax_a": [0, 1], "ax_b": 2, "ax_c": 3}, 4) + result = ax_map.remove_axis([2, 1]) + expected = {"ax_a": 0, "ax_c": 1} + assert result == expected + + +def test_insert_AxisMapping(): + ax_map = _AxisMapping( + { + "ax_a": [0, 1], + "ax_b": 2, + "ax_c": 3, + "ax_d": [4, 5], + }, + 6, + ) + result = ax_map.insert_axis(3, "ax_unk") + expected = { + "ax_a": [0, 1], + "ax_b": 2, + "ax_unk": 3, + "ax_c": 4, + "ax_d": [5, 6], + } + assert result == expected + + +def test_insert_existing_AxisMapping(): + ax_map = _AxisMapping( + { + "ax_a": [0, 1], + "ax_b": 2, + "ax_c": 3, + "ax_d": [4, 5], + }, + 6, + ) + result = ax_map.insert_axis(3, "ax_b") + expected = { + "ax_a": [0, 1], + "ax_b": [2, 3], + "ax_c": 4, + "ax_d": [5, 6], + } + assert result == expected + + +def test_insert_multiple_AxisMapping(): + ax_map = _AxisMapping( + { + "ax_a": [0, 1], + "ax_b": 2, + "ax_c": 3, + "ax_d": [4, 5], + }, + 6, + ) + result = ax_map.insert_axis([1, 4], new_name="ax_unk") + expected = { + "ax_a": [0, 2], + "ax_unk": [1, 4], + "ax_b": 3, + "ax_c": 5, + "ax_d": [6, 7], + } + assert result == expected + + +def test_insert_misordered_AxisMapping(): + ax_map = _AxisMapping( + { + "ax_a": [0, 1], + "ax_b": 2, + "ax_c": 3, + "ax_d": [4, 5], + }, + 6, + ) + result = ax_map.insert_axis([4, 1], new_name="ax_unk") + expected = { + "ax_a": [0, 2], + "ax_unk": [1, 4], + "ax_b": 3, + "ax_c": 5, + "ax_d": [6, 7], + } + assert result == expected + + +def test_determine_adv_broadcasting(): + indexers = (1, np.ones(1), np.ones((4, 1)), np.ones(3)) + res_nd, res_start = axes._determine_adv_broadcasting(indexers, [1, 2, 3]) + assert res_nd == 2 + assert res_start == 1 + + indexers = (None, np.ones(1), 2, np.ones(3)) + res_nd, res_start = axes._determine_adv_broadcasting(indexers, [1, 3]) + assert res_nd == 1 + assert res_start == 0 + + res_nd, res_start = axes._determine_adv_broadcasting(indexers, []) + assert res_nd == 0 + assert res_start is None + + +def test_replace_ellipsis(): + key = [..., 0] + result = axes._expand_indexer_ellipsis(key, 2) + expected = [slice(None), 0] + assert result == expected + + +def test_strip_ellipsis(): + key = [1, ...] + result = axes._expand_indexer_ellipsis(key, 1) + expected = [1] + assert result == expected + + key = [..., 1] + result = axes._expand_indexer_ellipsis(key, 1) + expected = [1] + assert result == expected + + +def test_transpose(): + axes = {"ax_a": 0, "ax_b": [1, 2]} + arr = AxesArray(np.arange(8).reshape(2, 2, 2), axes) + tp = np.transpose(arr, [2, 0, 1]) + result = tp.axes + expected = {"ax_a": 1, "ax_b": [0, 2]} + assert result == expected + assert_array_equal(tp, np.transpose(np.asarray(arr), [2, 0, 1])) + arr = arr[..., 0] + tp = arr.T + expected = {"ax_a": 1, "ax_b": 0} + assert_array_equal(tp, np.asarray(arr).T) + + +def test_linalg_solve_align_left(): + axesA = {"ax_prob": 0, "ax_sample": 1, "ax_coord": 2} + arrA = AxesArray(np.arange(8).reshape(2, 2, 2), axesA) + axesb = {"ax_prob": 0, "ax_sample": 1} + arrb = AxesArray(np.arange(4).reshape(2, 2), axesb) + result = np.linalg.solve(arrA, arrb) + expected_axes = {"ax_prob": 0, "ax_coord": 1} + assert result.axes == expected_axes + super_result = np.linalg.solve(np.asarray(arrA), np.asarray(arrb)) + assert_array_equal(result, super_result) + + +def test_linalg_solve_align_right(): + axesA = {"ax_sample": 0, "ax_feature": 1} + arrA = AxesArray(np.arange(4).reshape(2, 2), axesA) + axesb = {"ax_sample": 0, "ax_target": 1} + arrb = AxesArray(np.arange(4).reshape(2, 2), axesb) + result = np.linalg.solve(arrA, arrb) + expected_axes = {"ax_feature": 0, "ax_target": 1} + assert result.axes == expected_axes + super_result = np.linalg.solve(np.asarray(arrA), np.asarray(arrb)) + assert_array_equal(result, super_result) + + +def test_linalg_solve_align_right_xl(): + axesA = {"ax_sample": 0, "ax_feature": 1} + arrA = AxesArray(np.arange(4).reshape(2, 2), axesA) + axesb = {"ax_prob": 0, "ax_sample": 1, "ax_target": 2} + arrb = AxesArray(np.arange(8).reshape(2, 2, 2), axesb) + result = np.linalg.solve(arrA, arrb) + expected_axes = {"ax_prob": 0, "ax_feature": 1, "ax_target": 2} + assert result.axes == expected_axes + super_result = np.linalg.solve(np.asarray(arrA), np.asarray(arrb)) + assert_array_equal(result, super_result) + + +def test_linalg_solve_incompatible_left(): + axesA = {"ax_prob": 0, "ax_sample": 1, "ax_coord": 2} + arrA = AxesArray(np.arange(8).reshape(2, 2, 2), axesA) + axesb = {"ax_foo": 0, "ax_sample": 1} + arrb = AxesArray(np.arange(4).reshape(2, 2), axesb) + with pytest.raises(ValueError, match="Mismatch in operand axis names"): + np.linalg.solve(arrA, arrb) + + +def test_ts_to_einsum_int_axes(): + a_str, b_str = axes._tensordot_to_einsum(3, 3, 2).split(",") + # expecting 'abc,bcf + assert a_str[0] not in b_str + assert b_str[-1] not in a_str + assert a_str[1:] == b_str[:-1] + + +def test_ts_to_einsum_list_axes(): + a_str, b_str = axes._tensordot_to_einsum(3, 3, [[1], [2]]).split(",") + # expecting 'abcd,efbh + assert a_str[1] == b_str[2] + assert a_str[0] not in b_str + assert a_str[2] not in b_str + assert b_str[0] not in a_str + assert b_str[1] not in a_str + + +def test_tensordot_int_axes(): + axes_a = {"ax_a": 0, "ax_b": [1, 2]} + axes_b = {"ax_b": [0, 1], "ax_c": 2} + arr = np.arange(8).reshape((2, 2, 2)) + arr_a = AxesArray(arr, axes_a) + arr_b = AxesArray(arr, axes_b) + super_result = np.tensordot(arr, arr, 2) + result = np.tensordot(arr_a, arr_b, 2) + expected_axes = {"ax_a": 0, "ax_c": 1} + assert result.axes == expected_axes + assert_array_equal(result, super_result) + + +def test_tensordot_list_axes(): + axes_a = {"ax_a": 0, "ax_b": [1, 2]} + axes_b = {"ax_c": [0, 1], "ax_b": 2} + arr = np.arange(8).reshape((2, 2, 2)) + arr_a = AxesArray(arr, axes_a) + arr_b = AxesArray(arr, axes_b) + super_result = np.tensordot(arr, arr, [[1], [2]]) + result = np.tensordot(arr_a, arr_b, [[1], [2]]) + expected_axes = {"ax_a": 0, "ax_b": 1, "ax_c": [2, 3]} + assert result.axes == expected_axes + assert_array_equal(result, super_result) + + +def test_ravel_1d(): + arr = AxesArray(np.array([1, 2]), axes={"ax_a": 0}) + result = np.ravel(arr) + assert_array_equal(result, arr) + assert result.axes == arr.axes + + +def test_ravel_nd(): + arr = AxesArray(np.array([[1, 2], [3, 4]]), axes={"ax_a": 0, "ax_b": 1}) + result = np.ravel(arr) + expected = np.ravel(np.asarray(arr)) + assert_array_equal(result, expected) + assert result.axes == {"ax_unk": 0} + + +def test_ma_ravel(): + arr = AxesArray(np.array([1, 2]), axes={"ax_a": 0}) + marr = np.ma.MaskedArray(arr) + np.ma.ravel(marr) + + +@pytest.mark.skip +def test_einsum_implicit(): + ... + + +@pytest.mark.skip +def test_einsum_trace(): + ... + + +@pytest.mark.skip +def test_einsum_diag(): + ... + + +@pytest.mark.skip +def test_einsum_1dsum(): + ... + + +@pytest.mark.skip +def test_einsum_alldsum(): + ... + + +@pytest.mark.skip +def test_einsum_contraction(): + ... + + +@pytest.mark.skip +def test_einsum_explicit_ellipsis(): + ... + + +def test_einsum_scalar(): + arr = AxesArray(np.ones(1), {"ax_a": 0}) + expected = 1 + result = np.einsum("i,i", arr, arr) + assert result == expected + + +@pytest.mark.skip +def test_einsum_mixed(): + ... diff --git a/test/utils/test_utils.py b/test/utils/test_utils.py index 52fc5ff76..4c4d2daf2 100644 --- a/test/utils/test_utils.py +++ b/test/utils/test_utils.py @@ -1,28 +1,61 @@ import numpy as np +import pytest +from pysindy.utils import AxesArray from pysindy.utils import reorder_constraints +from pysindy.utils import validate_control_variables def test_reorder_constraints_1D(): - target_order = np.arange(6) - row_order = np.array([0, 3, 1, 4, 2, 5]) n_feats = 3 - - np.testing.assert_array_equal( - reorder_constraints(target_order, n_feats).flatten(), row_order + n_tgts = 2 + target_order = np.array( + [f"t{i}f{j}" for i in range(n_tgts) for j in range(n_feats)] ) - np.testing.assert_array_equal( - reorder_constraints(row_order, n_feats, output_order="target").flatten(), - target_order, + feature_order = np.array( + [f"t{i}f{j}" for j in range(n_feats) for i in range(n_tgts)] ) + result = reorder_constraints(target_order, n_feats, output_order="feature") + np.testing.assert_array_equal(result.flatten(), feature_order) + + result = reorder_constraints(feature_order, n_feats, output_order="target") + np.testing.assert_array_equal(result.flatten(), target_order) + def test_reorder_constraints_2D(): - target_order = np.arange(12).reshape((2, 6)) - row_order = np.array([[0, 3, 1, 4, 2, 5], [6, 9, 7, 10, 8, 11]]) n_feats = 3 - - np.testing.assert_array_equal(reorder_constraints(target_order, n_feats), row_order) - np.testing.assert_array_equal( - reorder_constraints(row_order, n_feats, output_order="target"), target_order + n_tgts = 2 + n_const = 2 + target_order = np.array( + [ + [f"c{k}t{i}f{j}" for i in range(n_tgts) for j in range(n_feats)] + for k in range(n_const) + ] + ) + feature_order = np.array( + [ + [f"c{k}t{i}f{j}" for j in range(n_feats) for i in range(n_tgts)] + for k in range(n_const) + ] ) + + result = reorder_constraints(target_order, n_feats, output_order="feature") + np.testing.assert_array_equal(result, feature_order) + + result = reorder_constraints(feature_order, n_feats, output_order="target") + np.testing.assert_array_equal(result, target_order) + + +def test_validate_controls(): + with pytest.raises(ValueError): + validate_control_variables(1, []) + with pytest.raises(ValueError): + validate_control_variables([], 1) + with pytest.raises(ValueError): + validate_control_variables([], [1]) + arr = AxesArray(np.ones(4).reshape((2, 2)), axes={"ax_time": 0, "ax_coord": 1}) + with pytest.raises(ValueError): + validate_control_variables([arr], [arr[:1]]) + u_mod = validate_control_variables([arr], [arr], trim_last_point=True) + assert u_mod[0].n_time == 1