diff --git a/.gitignore b/.gitignore index 6c974be61..88881f053 100644 --- a/.gitignore +++ b/.gitignore @@ -83,6 +83,10 @@ coverage_py.xml doc/example/tmp doc/example/amici_models/* +# storage +*.hdf5 +*.csv + # general data/.snakemake data/.spyderproject diff --git a/.rtd_pip_reqs.txt b/.rtd_pip_reqs.txt index 94eaa097d..625762ec8 100644 --- a/.rtd_pip_reqs.txt +++ b/.rtd_pip_reqs.txt @@ -1,3 +1,5 @@ -ipython -nbsphinx -sphinx_rtd_theme +ipython>=7.14.0 +nbsphinx>=0.6.0 +recommonmark>=0.6.0 +sphinx_rtd_theme>=0.4.3 +sphinx>=3.0.4 diff --git a/.travis.yml b/.travis.yml index 5525fbec2..9f56a9a0a 100644 --- a/.travis.yml +++ b/.travis.yml @@ -1,11 +1,11 @@ language: python python: - - "3.6" + - "3.8" os: - linux dist: - - xenial + - bionic compiler: - gcc @@ -15,39 +15,56 @@ addons: apt: update: true packages: - - libhdf5-serial-dev - - zlib1g-dev - - libatlas-base-dev + - build-essential + - coinor-libipopt1v5 + - coinor-libipopt-dev + - gfortran - lcov - - swig3.0 + - libatlas-base-dev + - libhdf5-serial-dev - pandoc + - pkg-config + - python-dev + - swig3.0 + - zlib1g-dev install: - mkdir -p ~/bin/ && ln -s /usr/bin/swig3.0 ~/bin/swig && export PATH=~/bin/:$PATH - - pip3 install --upgrade -r ./.travis_pip_reqs.txt - - pip3 install . + - pip3 install -r ./.travis_pip_reqs.txt + - pip3 install .[ipopt,dlib,pyswarm,pymc3] - pip3 install https://github.com/petab-dev/petab/archive/develop.zip - pip3 install -e git+https://github.com/icb-dcm/amici.git@develop#egg=amici\&subdirectory=python/sdist - - git clone --depth 1 - https://github.com/petab-dev/petab_test_suite tmp/petab_test_suite - - pip3 install -e tmp/petab_test_suite + - if [ "$TRAVIS_PULL_REQUEST" = "false" ]; then + git clone --depth 1 + https://github.com/petab-dev/petab_test_suite tmp/petab_test_suite; + pip3 install -e tmp/petab_test_suite; + fi + - if [ "$TRAVIS_PULL_REQUEST" != "false" ]; then + pip install -r .rtd_pip_reqs.txt; + fi # run tests script: - - python3 -m flake8 - --exclude=build,doc,example,tmp,amici_models - --per-file-ignores='*/__init__.py:F401' - - travis_wait 20 python3 -m pytest --cov=pypesto ./test/test_* - - travis_wait 20 xvfb-run -a python3 -m pytest - --cov=pypesto --cov-append ./test/visualize/test_* + - if [ "$TRAVIS_PULL_REQUEST" = "false" ]; then + ./run_flake8.sh; + fi + - if [ "$TRAVIS_PULL_REQUEST" = "false" ]; then + travis_wait 20 python3 -m pytest --cov=pypesto ./test/test_*; + fi + - if [ "$TRAVIS_PULL_REQUEST" = "false" ]; then + travis_wait 20 xvfb-run -a python3 -m pytest + --cov=pypesto --cov-append ./test/visualize/test_*; + fi - if [ "$TRAVIS_PULL_REQUEST" != "false" ]; then sphinx-build -W -b html -d doc/_build/html doc/ doc/_build/html; fi - if [ "$TRAVIS_PULL_REQUEST" != "false" ]; then test/run_notebook.sh doc/example/; fi - - coverage xml + - if [ "$TRAVIS_PULL_REQUEST" = "false" ]; then + coverage xml; + fi after_success: - bash <(curl -s https://codecov.io/bash) diff --git a/.travis_pip_reqs.txt b/.travis_pip_reqs.txt index 47c1daad4..179feba91 100644 --- a/.travis_pip_reqs.txt +++ b/.travis_pip_reqs.txt @@ -6,9 +6,12 @@ pytest pytest-cov coverage flake8 -dlib -pyswarm +flake8-bugbear +flake8-bandit +flake8-print +flake8-comprehensions gitpython sphinx nbsphinx sphinx_rtd_theme +cython diff --git a/doc/README.md b/doc/README.md index fdf1b044b..3660b772b 100644 --- a/doc/README.md +++ b/doc/README.md @@ -1,6 +1,6 @@ -# pyPESTO Documentation +# Documentation -This folder contains files for building the documentation of this package. +The `doc/` folder contains the files for building the pyPESTO documentation. ## Requirements diff --git a/doc/api_engine.rst b/doc/api_engine.rst index a133bbac5..17f0acf74 100644 --- a/doc/api_engine.rst +++ b/doc/api_engine.rst @@ -1,5 +1 @@ .. automodule:: pypesto.engine - :members: - :inherited-members: - :special-members: - :imported-members: diff --git a/doc/api_logging.rst b/doc/api_logging.rst index 89d50cdac..61afa8ec1 100644 --- a/doc/api_logging.rst +++ b/doc/api_logging.rst @@ -1,5 +1 @@ .. automodule:: pypesto.logging - :members: - :inherited-members: - :special-members: - :imported-members: diff --git a/doc/api_objective.rst b/doc/api_objective.rst index 50cbfe32c..f5e5a09b8 100644 --- a/doc/api_objective.rst +++ b/doc/api_objective.rst @@ -1,5 +1 @@ .. automodule:: pypesto.objective - :members: - :inherited-members: - :special-members: - :imported-members: diff --git a/doc/api_optimize.rst b/doc/api_optimize.rst index 241fedde1..ae7d32f65 100644 --- a/doc/api_optimize.rst +++ b/doc/api_optimize.rst @@ -1,5 +1 @@ .. automodule:: pypesto.optimize - :members: - :inherited-members: - :special-members: - :imported-members: diff --git a/doc/api_petab.rst b/doc/api_petab.rst index ac92bab61..7cf9f34ae 100644 --- a/doc/api_petab.rst +++ b/doc/api_petab.rst @@ -1,5 +1 @@ .. automodule:: pypesto.petab - :members: - :inherited-members: - :special-members: - :imported-members: diff --git a/doc/api_problem.rst b/doc/api_problem.rst index ef87d23e7..a81e08eab 100644 --- a/doc/api_problem.rst +++ b/doc/api_problem.rst @@ -1,5 +1 @@ .. automodule:: pypesto.problem - :members: - :inherited-members: - :special-members: - :imported-members: diff --git a/doc/api_profile.rst b/doc/api_profile.rst index c1383ff5f..b4f4882b1 100644 --- a/doc/api_profile.rst +++ b/doc/api_profile.rst @@ -1,5 +1 @@ .. automodule:: pypesto.profile - :members: - :inherited-members: - :special-members: - :imported-members: diff --git a/doc/api_result.rst b/doc/api_result.rst index 74e3f8dd6..388d42688 100644 --- a/doc/api_result.rst +++ b/doc/api_result.rst @@ -1,5 +1 @@ .. automodule:: pypesto.result - :members: - :inherited-members: - :special-members: - :imported-members: diff --git a/doc/api_sampling.rst b/doc/api_sampling.rst index 5cd954d6d..46582ea30 100644 --- a/doc/api_sampling.rst +++ b/doc/api_sampling.rst @@ -1,5 +1 @@ .. automodule:: pypesto.sampling - :members: - :inherited-members: - :special-members: - :imported-members: diff --git a/doc/api_startpoint.rst b/doc/api_startpoint.rst index 4ab0edac7..25210f17e 100644 --- a/doc/api_startpoint.rst +++ b/doc/api_startpoint.rst @@ -1,5 +1 @@ .. automodule:: pypesto.startpoint - :members: - :inherited-members: - :special-members: - :imported-members: diff --git a/doc/api_storage.rst b/doc/api_storage.rst index 3b3dbf635..6f91f1887 100644 --- a/doc/api_storage.rst +++ b/doc/api_storage.rst @@ -1,5 +1 @@ .. automodule:: pypesto.storage - :members: - :inherited-members: - :special-members: - :imported-members: diff --git a/doc/api_visualize.rst b/doc/api_visualize.rst index 19d07e370..100b08cf0 100644 --- a/doc/api_visualize.rst +++ b/doc/api_visualize.rst @@ -1,5 +1 @@ .. automodule:: pypesto.visualize - :members: - :inherited-members: - :special-members: - :imported-members: diff --git a/doc/conf.py b/doc/conf.py index 7e0cac5ce..659ffa212 100644 --- a/doc/conf.py +++ b/doc/conf.py @@ -25,8 +25,7 @@ # -- General configuration ------------------------------------------------ # If your documentation needs a minimal Sphinx version, state it here. -# -# needs_sphinx = '1.0' +needs_sphinx = '3.0.4' # Add any Sphinx extension module names here, as strings. They can be # extensions coming with Sphinx (named 'sphinx.ext.*') or your custom @@ -34,14 +33,18 @@ extensions = ['sphinx.ext.autodoc', 'sphinx.ext.napoleon', 'IPython.sphinxext.ipython_console_highlighting', - 'nbsphinx'] + 'nbsphinx', + 'recommonmark'] # default autodoc options # list for special-members seems not to be possible before 1.8 -autodoc_default_flags = ['members', - 'undoc-members', - 'show-inheritance', - 'imported-members'] +autodoc_default_options = { + 'members': True, + 'undoc-members': True, + 'special-members': '__init__, __call__', + 'imported-members': True, + 'show-inheritance': True, +} # Add any paths that contain templates here, relative to this directory. templates_path = ['_templates'] diff --git a/doc/examples.rst b/doc/example.rst similarity index 82% rename from doc/examples.rst rename to doc/example.rst index 66b3ecfc8..3dec5643c 100644 --- a/doc/examples.rst +++ b/doc/example.rst @@ -11,8 +11,9 @@ The following examples cover typical use cases and should help get a better idea example/fixed_parameters.ipynb example/boehm_JProteomeRes2014.ipynb example/petab_import.ipynb - example/hdf5_storage_result.ipynb + example/storage.ipynb example/sampler_study.ipynb + example/sampling_diagnostics.ipynb Download the examples as notebooks ---------------------------------- @@ -22,8 +23,9 @@ Download the examples as notebooks * :download:`Fixed parameters ` * :download:`Boehm model ` * :download:`Petab import ` -* :download:`HDF5 storage ` +* :download:`Storage ` * :download:`Sampler study ` +* :download:`Sampling diagnostics ` .. Note:: Some of the notebooks have extra dependencies. diff --git a/doc/example/hdf5_storage_result.ipynb b/doc/example/hdf5_storage_result.ipynb deleted file mode 100644 index a2af873c2..000000000 --- a/doc/example/hdf5_storage_result.ipynb +++ /dev/null @@ -1,1172 +0,0 @@ -{ - "cells": [ - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "# Save and load results as HDF5 files" - ] - }, - { - "cell_type": "code", - "execution_count": 1, - "metadata": {}, - "outputs": [], - "source": [ - "import pypesto\n", - "import numpy as np\n", - "import scipy as sp\n", - "import matplotlib.pyplot as plt\n", - "from pypesto.storage import (save_to_hdf5, read_from_hdf5)\n", - "import tempfile\n", - "\n", - "%matplotlib inline" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Define the objective and problem" - ] - }, - { - "cell_type": "code", - "execution_count": 2, - "metadata": {}, - "outputs": [], - "source": [ - "objective = pypesto.Objective(fun=sp.optimize.rosen, \n", - " grad=sp.optimize.rosen_der, \n", - " hess=sp.optimize.rosen_hess)\n", - "\n", - "dim_full = 10\n", - "lb = -5 * np.ones((dim_full, 1))\n", - "ub = 5 * np.ones((dim_full, 1))\n", - "\n", - "problem = pypesto.Problem(objective=objective, lb=lb, ub=ub)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Run optimization" - ] - }, - { - "cell_type": "code", - "execution_count": 3, - "metadata": {}, - "outputs": [], - "source": [ - "# create optimizers\n", - "optimizer = pypesto.ScipyOptimizer(method='l-bfgs-b')\n", - "\n", - "# set number of starts\n", - "n_starts = 20\n", - "\n", - "# Run optimizaitons\n", - "result = pypesto.minimize(\n", - " problem=problem, optimizer=optimizer,\n", - " n_starts=n_starts)" - ] - }, - { - "cell_type": "code", - "execution_count": 4, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "[{'id': '8',\n", - " 'x': array([1.00000001, 0.99999999, 0.99999997, 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-5.29321104e-05]),\n", - " 'hess': None,\n", - " 'res': None,\n", - " 'sres': None,\n", - " 'n_fval': 78,\n", - " 'n_grad': 78,\n", - " 'n_hess': 0,\n", - " 'n_res': 0,\n", - " 'n_sres': 0,\n", - " 'x0': array([-0.99326315, 0.99660609, 0.99824021, 0.99898815, 0.99922624,\n", - " 0.99907353, 0.99845395, 0.99705588, 0.99417909, 0.98839179]),\n", - " 'fval0': 90060.0282425554,\n", - " 'history': ,\n", - " 'exitflag': 0,\n", - " 'time': 0.016544103622436523,\n", - " 'message': b'CONVERGENCE: REL_REDUCTION_OF_F_<=_FACTR*EPSMCH'},\n", - " {'id': '3',\n", - " 'x': array([-0.99326274, 0.99660589, 0.99824031, 0.99898835, 0.99922654,\n", - " 0.99907324, 0.99845446, 0.99705616, 0.99417916, 0.98839222]),\n", - " 'fval': 3.9865791128374686,\n", - " 'grad': array([ 4.43724847e-04, 2.30363468e-04, -2.12480723e-04, -1.17788491e-04,\n", - " 5.86174712e-04, -6.78812087e-04, 4.85626746e-04, -1.17917644e-04,\n", - " -1.48260191e-05, 3.53218137e-06]),\n", - " 'hess': None,\n", - " 'res': None,\n", - " 'sres': None,\n", - " 'n_fval': 68,\n", - " 'n_grad': 68,\n", - " 'n_hess': 0,\n", - " 'n_res': 0,\n", - " 'n_sres': 0,\n", - " 'x0': array([-0.99326274, 0.99660589, 0.99824031, 0.99898835, 0.99922654,\n", - " 0.99907324, 0.99845446, 0.99705616, 0.99417916, 0.98839222]),\n", - " 'fval0': 58537.15752301021,\n", - " 'history': ,\n", - " 'exitflag': 0,\n", - " 'time': 0.007930994033813477,\n", - " 'message': b'CONVERGENCE: REL_REDUCTION_OF_F_<=_FACTR*EPSMCH'}]" - ] - }, - "execution_count": 4, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "result.optimize_result.list" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Plot results" - ] - }, - { - "cell_type": "code", - "execution_count": 5, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "" - ] - }, - "execution_count": 5, - "metadata": {}, - "output_type": "execute_result" - }, - { - "data": { - "image/png": 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\n", - "text/plain": [ - "
" - ] - }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" - } - ], - "source": [ - "import pypesto.visualize\n", - "\n", - "# plot waterfalls\n", - "pypesto.visualize.waterfall(result, size=(15,6))" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Save optimization result as HDF5 file" - ] - }, - { - "cell_type": "code", - "execution_count": 6, - "metadata": {}, - "outputs": [], - "source": [ - "fn = tempfile.mktemp(\".hdf5\")\n", - "\n", - "# Write result\n", - "hdf5_writer = save_to_hdf5.OptimizationResultHDF5Writer(fn)\n", - "hdf5_writer.write(result)\n", - "\n", - "# Write problem\n", - "hdf5_writer = save_to_hdf5.ProblemHDF5Writer(fn)\n", - "hdf5_writer.write(problem)" - ] - }, - { - "cell_type": "code", - "execution_count": 7, - "metadata": {}, - "outputs": [], - "source": [ - "# Read result and problem\n", - "hdf5_reader = read_from_hdf5.OptimizationResultHDF5Reader(fn)\n", - "result = hdf5_reader.read()" - ] - }, - { - "cell_type": "code", - "execution_count": 8, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "[{'id': '8',\n", - " 'x': array([1.00000001, 0.99999999, 0.99999997, 0.99999998, 0.99999998,\n", - " 0.99999999, 0.99999996, 0.99999987, 0.99999971, 0.9999995 ]),\n", - " 'fval': 1.4448869867069234e-12,\n", - " 'grad': array([ 9.91613312e-06, -2.33793663e-07, -1.84487477e-05, -1.24826804e-06,\n", - " -7.03416051e-06, 1.12040576e-05, 1.88713028e-05, -4.68014961e-07,\n", - " -3.65179645e-05, 1.53152743e-05]),\n", - " 'hess': None,\n", - " 'res': None,\n", - " 'sres': None,\n", - " 'n_fval': 73,\n", - " 'n_grad': 73,\n", - " 'n_hess': 0,\n", - " 'n_res': 0,\n", - " 'n_sres': 0,\n", - " 'x0': array([1.00000001, 0.99999999, 0.99999997, 0.99999998, 0.99999998,\n", - " 0.99999999, 0.99999996, 0.99999987, 0.99999971, 0.9999995 ]),\n", - " 'fval0': 116315.16334351365,\n", - " 'history': None,\n", - " 'exitflag': 0,\n", - " 'time': 0.010613441467285156,\n", - " 'message': 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0.99922624,\n", - " 0.99907353, 0.99845395, 0.99705588, 0.99417909, 0.98839179]),\n", - " 'fval': 3.986579112503477,\n", - " 'grad': array([ 1.91428162e-04, 2.94649756e-04, -3.04516493e-04, -1.62074006e-04,\n", - " 2.52224941e-04, -6.28043726e-05, -3.29243223e-05, -1.67555012e-04,\n", - " 1.96809844e-04, -5.29321104e-05]),\n", - " 'hess': None,\n", - " 'res': None,\n", - " 'sres': None,\n", - " 'n_fval': 78,\n", - " 'n_grad': 78,\n", - " 'n_hess': 0,\n", - " 'n_res': 0,\n", - " 'n_sres': 0,\n", - " 'x0': array([-0.99326315, 0.99660609, 0.99824021, 0.99898815, 0.99922624,\n", - " 0.99907353, 0.99845395, 0.99705588, 0.99417909, 0.98839179]),\n", - " 'fval0': 90060.0282425554,\n", - " 'history': None,\n", - " 'exitflag': 0,\n", - " 'time': 0.016544103622436523,\n", - " 'message': b'CONVERGENCE: REL_REDUCTION_OF_F_<=_FACTR*EPSMCH'},\n", - " {'id': '3',\n", - " 'x': array([-0.99326274, 0.99660589, 0.99824031, 0.99898835, 0.99922654,\n", - " 0.99907324, 0.99845446, 0.99705616, 0.99417916, 0.98839222]),\n", - " 'fval': 3.9865791128374686,\n", - " 'grad': array([ 4.43724847e-04, 2.30363468e-04, -2.12480723e-04, -1.17788491e-04,\n", - " 5.86174712e-04, -6.78812087e-04, 4.85626746e-04, -1.17917644e-04,\n", - " -1.48260191e-05, 3.53218137e-06]),\n", - " 'hess': None,\n", - " 'res': None,\n", - " 'sres': None,\n", - " 'n_fval': 68,\n", - " 'n_grad': 68,\n", - " 'n_hess': 0,\n", - " 'n_res': 0,\n", - " 'n_sres': 0,\n", - " 'x0': array([-0.99326274, 0.99660589, 0.99824031, 0.99898835, 0.99922654,\n", - " 0.99907324, 0.99845446, 0.99705616, 0.99417916, 0.98839222]),\n", - " 'fval0': 58537.15752301021,\n", - " 'history': None,\n", - " 'exitflag': 0,\n", - " 'time': 0.007930994033813477,\n", - " 'message': b'CONVERGENCE: REL_REDUCTION_OF_F_<=_FACTR*EPSMCH'}]" - ] - }, - "execution_count": 8, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "result.optimize_result.list" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Plot results" - ] - }, - { - "cell_type": "code", - "execution_count": 9, - "metadata": { - "scrolled": false - }, - "outputs": [ - { - "data": { - "text/plain": [ - "" - ] - }, - "execution_count": 9, - "metadata": {}, - "output_type": "execute_result" - }, - { - "data": { - "image/png": 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\n", - "text/plain": [ - "
" - ] - }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" - } - ], - "source": [ - "# plot waterfalls\n", - "pypesto.visualize.waterfall(result, size=(15,6))" - ] - }, - { - "cell_type": "code", - "execution_count": 10, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "" - ] - }, - "execution_count": 10, - "metadata": {}, - "output_type": "execute_result" - }, - { - "data": { - "image/png": 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- "text/plain": [ - "
" - ] - }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" - } - ], - "source": [ - "pypesto.visualize.parameters(result,\n", - " balance_alpha=False)" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [] - } - ], - "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" - } - }, - "nbformat": 4, - "nbformat_minor": 2 -} diff --git a/doc/example/rosenbrock.ipynb b/doc/example/rosenbrock.ipynb index 516f34256..a541ce764 100644 --- a/doc/example/rosenbrock.ipynb +++ b/doc/example/rosenbrock.ipynb @@ -17,9 +17,7 @@ { "cell_type": "code", "execution_count": 1, - "metadata": { - "scrolled": false - }, + "metadata": {}, "outputs": [], "source": [ "import pypesto\n", @@ -66,7 +64,7 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "## Illustration" + "### Illustration" ] }, { @@ -132,11 +130,79 @@ { "cell_type": "code", "execution_count": 5, - "metadata": { - "scrolled": false - }, - "outputs": [], + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Function values from history and optimizer do not match: 0.2816653821914888, 0.5320236837009729\n", + "Parameters obtained from history and optimizer do not match: [0.98858861 0.98891374 0.98766938 0.98161879 0.9652898 0.93879652\n", + " 0.88306125 0.77229682 0.59072196 0.34463656], [0.98496582 0.99181314 0.98908854 0.97887796 0.9637969 0.92698863\n", + " 0.85833682 0.7281339 0.5100925 0.23030355]\n", + "Function values from history and optimizer do not match: 2.4964418432638706, 3.2754756228142554\n", + "Parameters obtained from history and optimizer do not match: [9.82288496e-01 9.66985425e-01 9.38419566e-01 8.78054852e-01\n", + " 7.69913490e-01 5.86275734e-01 3.34232174e-01 1.02020372e-01\n", + " 1.12463415e-02 8.92327778e-05], [ 9.77936483e-01 9.58866835e-01 9.18622429e-01 8.45125973e-01\n", + " 6.98308810e-01 4.68636934e-01 1.81161241e-01 1.56538059e-02\n", + " 1.25320748e-02 -3.42245429e-05]\n", + "Function values from history and optimizer do not match: 5.2801527327005155, 6.006584566765655\n", + "Parameters obtained from history and optimizer do not match: [ 8.97044955e-01 8.02352694e-01 6.38595532e-01 3.92952520e-01\n", + " 1.39352250e-01 1.46386081e-02 1.03838418e-02 1.04224904e-02\n", + " 9.87858840e-03 -3.10151313e-05], [8.53850657e-01 7.25968721e-01 5.02444501e-01 2.29720701e-01\n", + " 2.91937619e-02 1.04279105e-02 1.00588034e-02 9.91318272e-03\n", + " 1.01923977e-02 2.48830744e-04]\n", + "Function values from history and optimizer do not match: 1.9692004336022721, 2.7115798760594214\n", + "Parameters obtained from history and optimizer do not match: [ 0.99019497 0.97774137 0.9561126 0.91685931 0.84524646 0.70666505\n", + " 0.49175856 0.23072529 0.03408112 -0.00353803], [ 0.99027014 0.97935022 0.95186067 0.89016816 0.78796339 0.60782056\n", + " 0.3439489 0.082957 0.01236261 -0.0090733 ]\n", + "Function values from history and optimizer do not match: 8.168889493703478, 8.725825462780923\n", + "Parameters obtained from history and optimizer do not match: [-0.94088519 0.89001051 0.79111519 0.61462856 0.36442 0.11619655\n", + " 0.01427664 0.01024192 0.00981114 0.0030506 ], [-0.9055118 0.82811563 0.68759974 0.46924951 0.18965995 0.0303\n", + " 0.00988695 0.00686135 0.01131552 0.01232474]\n", + "Function values from history and optimizer do not match: 5.952343722253962, 6.6703631037412485\n", + "Parameters obtained from history and optimizer do not match: [ 8.43835312e-01 7.07958350e-01 4.88024405e-01 2.15876140e-01\n", + " 3.61965507e-02 1.06449763e-02 1.02201791e-02 1.01343248e-02\n", + " 1.00194415e-02 -4.24013443e-05], [ 7.73014395e-01 5.76458083e-01 3.06751296e-01 7.23116662e-02\n", + " 1.11101457e-02 1.04925729e-02 1.02198284e-02 9.31800098e-03\n", + " 1.00303338e-02 -3.35414249e-04]\n", + "Function values from history and optimizer do not match: 2.9695656384271043, 3.1184191036428834\n", + "Parameters obtained from history and optimizer do not match: [9.87034254e-01 9.72306804e-01 9.49987341e-01 8.93423068e-01\n", + " 8.17286050e-01 6.40113467e-01 3.50303066e-01 9.21040023e-02\n", + " 1.61619582e-02 1.07301208e-05], [0.97539345 0.96038658 0.92103141 0.84071849 0.69173518 0.46411457\n", + " 0.22535018 0.02137437 0.0140465 0.00187475]\n", + "Function values from history and optimizer do not match: 5.243703633002998, 5.815927741761821\n", + "Parameters obtained from history and optimizer do not match: [-0.98596483 0.98274868 0.97442973 0.9514248 0.90830696 0.82066704\n", + " 0.6645958 0.42265816 0.16754891 0.00843015], [-9.83776132e-01 9.76891471e-01 9.59822778e-01 9.25805546e-01\n", + " 8.61313435e-01 7.38255806e-01 5.36125583e-01 2.68900058e-01\n", + " 4.63857306e-02 5.55478747e-04]\n", + "Function values from history and optimizer do not match: 5.568452686104578, 6.240940426777619\n", + "Parameters obtained from history and optimizer do not match: [-0.98409971 0.97981689 0.96708475 0.93994779 0.882228 0.77067159\n", + " 0.58158721 0.3234338 0.08784476 0.00137899], [-9.80621630e-01 9.73220286e-01 9.49144994e-01 8.99631345e-01\n", + " 8.13904700e-01 6.72270174e-01 4.38458930e-01 1.59095121e-01\n", + " 1.36813582e-02 5.45995408e-04]\n", + "Function values from history and optimizer do not match: 0.036324365386529986, 0.09483254249425768\n", + "Parameters obtained from history and optimizer do not match: [0.99822004 0.99707243 0.99610909 0.99417929 0.99002028 0.98113164\n", + " 0.96153381 0.92444914 0.85179403 0.71878419], [0.99793405 0.9950185 0.99388555 0.99040659 0.98235824 0.966224\n", + " 0.93616269 0.87811711 0.77111827 0.58106498]\n", + "Function values from history and optimizer do not match: 0.6471617322900747, 1.0298609819176106\n", + "Parameters obtained from history and optimizer do not match: [0.99617777 0.9935325 0.98584858 0.97134588 0.94515948 0.88609812\n", + " 0.78352677 0.60468994 0.36020607 0.12888943], [0.99486306 0.99041659 0.98198154 0.96653722 0.93323387 0.86752936\n", + " 0.75275173 0.55276676 0.2795121 0.04110074]\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "CPU times: user 4.73 s, sys: 150 ms, total: 4.88 s\n", + "Wall time: 4.85 s\n" + ] + } + ], "source": [ + "%%time\n", + "\n", "# create different optimizers\n", "optimizer_bfgs = pypesto.ScipyOptimizer(method='l-bfgs-b')\n", "optimizer_tnc = pypesto.ScipyOptimizer(method='TNC')\n", @@ -167,7 +233,7 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "## Visualize and compare optimization results" + "### Visualize and compare optimization results" ] }, { @@ -178,7 +244,7 @@ { "data": { "text/plain": [ - "" + "" ] }, "execution_count": 6, @@ -187,7 +253,7 @@ }, { "data": { - "image/png": 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\n", 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\n", 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\n", 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\n", 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\n", 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\n", 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\n", 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\n", 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" ] @@ -283,13 +349,13 @@ "name": "stdout", "output_type": "stream", "text": [ - "Second optimum at: 3.9865791124344874\n" + "Second optimum at: 3.986579113118511\n" ] }, { "data": { "text/plain": [ - "" + "" ] }, "execution_count": 8, @@ -298,7 +364,7 @@ }, { "data": { - "image/png": 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\n", 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\n", 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\n", + "image/png": 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\n", 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\n", 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\n", 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" ] @@ -398,7 +464,124 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "## Optimizer history" + "If the result needs to be examined in more detail, it can easily be exported as a pandas.DataFrame:" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
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fvaln_fvaln_gradn_hessn_resn_srestime
00.0000921011010000.075175
10.1173511011010000.055569
20.2017611011010000.089948
30.4552421011010000.086691
40.5320241011010000.061193
\n", + "
" + ], + "text/plain": [ + " fval n_fval n_grad n_hess n_res n_sres time\n", + "0 0.000092 101 101 0 0 0 0.075175\n", + "1 0.117351 101 101 0 0 0 0.055569\n", + "2 0.201761 101 101 0 0 0 0.089948\n", + "3 0.455242 101 101 0 0 0 0.086691\n", + "4 0.532024 101 101 0 0 0 0.061193" + ] + }, + "execution_count": 10, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df = result1_tnc.optimize_result.as_dataframe(\n", + " ['fval', 'n_fval', 'n_grad', 'n_hess', 'n_res', 'n_sres', 'time'])\n", + "df.head()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Optimizer history" ] }, { @@ -410,22 +593,22 @@ }, { "cell_type": "code", - "execution_count": 10, + "execution_count": 11, "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "" + "" ] }, - "execution_count": 10, + "execution_count": 11, "metadata": {}, "output_type": "execute_result" }, { "data": { - "image/png": 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\n", + "image/png": 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t27njjju44IILANi4cSMXXXQRd911V1cMs8dQIKUn2/UTgqnFnPnFUju8B7ueIwpclD/rZ9eVJfYP4w19kUAgskfDst4OMNUYE96j84iIiIiIiEjvsX37dn7xi1/kAikjR47sdUEUUI2UHu3lxSHefiXK26/E/MfCr1TmQAhOhuDkwvXeQbn1uS8zEEjB7hv3aEzWa8TWnoLdfX3XvEgREREREZH9WENDAwsXLmTGjBlMmzaNRYsWAbBs2TKOO+44Dj/8cE455RTef981HnnzzTc56aSTmDFjBrNnz+att97CWstll13GtGnTOOyww3LnePzxxzn++OM588wzmTJlCp/5zGew1gLw97//nSlTpjB79mzuueeeomOLx+N87nOf47DDDmPWrFn885//BOCWW27hYx/7GMcffzyTJk3iqquuAuDyyy/nrbfeYubMmVx22WWsXbuWadOm5Y457bTTWLBgAePHj+fGG2/kJz/5CbNmzWLevHnU19cDcPzxx7N06VIAamtrGT9+fIeO3xuUkdKDTZm9k0gw0cYeb0PGPTtwav76t3LrW2m8DVtzMcaYzg0qfh949RD/J9Rc0rlziIiIiIiICOACGiNHjuSBBx4AYMeOHaRSKS688ELuu+8+hgwZwqJFi/j2t7/NzTffzGc+8xkuv/xyTj/9dOLxOJ7ncc8997BixQpeeuklamtrOeKIIzj22GMBePHFF3nllVcYOXIkRx99NM888wxz5szhS1/6Eo899hgTJ07krLPOKjq2n//85xhjWLlyJa+99honn3wyb7zxBgDPP/88q1atorq6miOOOIKFCxdyzTXXsGrVKlasWAHA2rVrC863atUqXnzxReLxOBMnTuSHP/whL774IhdffDG33norX//619v8Xu3p8V1FgZQerCE+iUifFV19VmzT3ZjqMzt8pLUWu/vXbiHzBtbGMSbWxeMTERERERGpnPP/p/W6BYfDJ46HeBIuuqH19lPnw6lHwfbd8B+/Ktx2Uzv3nw877DAuueQSvvnNb/KRj3yEY445hlWrVrFq1SoWLFgAQCaTYcSIEezatYv33nuP008/HYBYzH0ee/rpp/n0pz9NMBhk2LBhHHfccbzwwgv069ePuXPnMnr0aABmzpzJ2rVr6du3LxMmTGDSpEkAnH322dx0002txvb0009z4YUXAjBlyhTGjRuXC6QsWLCAQYMGAXDGGWfw9NNPc9ppp7X5Wj/wgQ9QU1NDTU0N/fv359RTT819D15++eW2v1FdcHxXUSClB/vH3QNZs2Rs0W2fuOSjTJp9YG75nusf4LXn1uSWv3V7YSTOplZB481uYffPoBOBFJLPgpfXFSi1CiJzOn4eERERERERAWDy5MksX76cBx98kCuuuIITTzyR008/nalTp/Lss88W7Ltr164Onz8ajeaeB4NB0un0Ho8ZaDXLoZxZD/ljCQQCueVAIJAbVygUwvNcx9p4PN7h4/cGBVJ6sCOO+hMfP2db8Y3mRuyO5sXTzgXObV62O75R+sTeZrzEEgLReR0aj20ojFDaxDMYBVJERERERKQXaSuDJBZpe/uAvu1noLS0ceNGBg4cyNlnn82AAQP4zW9+w+WXX87WrVt59tlnmT9/PqlUijfeeIOpU6cyevRo7r33Xk477TQSiQSZTIZjjjmGX/3qV3z2s5+lvr6eJ598kh//+Me89tprRa85ZcoU1q5dy1tvvcVBBx3EH//4x6L7HXPMMdx+++2ccMIJvPHGG6xbt46DDz6Y5cuX88gjj1BfX09VVRX33nsvN998MzU1NZ0K9uQbP348y5YtY+7cuT22UO0+WWzWGHO8MeYpY8wvjTHHV3o83WX42GDJbe3F+mx7J995dYfGYtPrIbm4cGX8sQ6dQ0RERERERAqtXLmSuXPnMnPmTK666iquuOIKIpEId911F9/85jeZMWMGM2fOZPFi93nstttu4/rrr2f69OkcddRRbNq0idNPP53p06czY8YMTjjhBH70ox8xfPjwkteMxWLcdNNNLFy4kNmzZzN06NCi+11wwQV4nsdhhx3GWWedxS233JLLApk7dy4f//jHmT59Oh//+MeZM2cOgwYN4uijj2batGlcdtllnfp+XHrppfzv//4vs2bNora2tlPn6G4mW7G30owxNwMfAbZYa6flrf8g8DMgCPzGWnuNMeY44HJgM/B9a+2bbZ17zpw5Nlv1d1/y3vLPM3TY063WG2MIBApDKRbwMl5uORAwLVKrPFoZ/DCB0PiyxuLt+C40tYxShjDDXul84VoREREREZEKW716NYccckilh7FPueWWW1i6dCk33rhnXWH3hmL/vsaYZdbaTk+v6ElTe24BbgRuza4wxgSBnwMLgA3AC8aYvwJPWWufMMYMA34CfGbvD7f7/eV3R3Pfz1unRd343A84+IiJBeustXww+Mnc8sFzJ3Ljkh/klr3E87Dt7MIT7bwKBv6u3XFY2wRNi4psSUNmA4TGtHsOERERERERkd6gxwRSrLVPGmPGt1g9F3jTWvs2gDHmTuBj1tpX/e3bgCi91JyTBrDpjR0F66LVUSZOXYuNr2u1/5ELmvcNRV7C5k29MYA1/SkorJJcjJfZQSDYv81x2IY7KMxoqQKa3LbkcxgFUkRERGQ/ZG0Gu+taTPWnMaHiDQJERHqj8847j/POO6/Sw6iYHhNIKWEUsD5veQNwpDHmDOAUYAAui6UVY8z5wPkAY8fum3/Yhg57ge/9fm3rDTsvKFoD5Xu/L1y2279cuMIc0OIIC7uvgf4/oBRrrevykztHX7C7m5cT/+hcByARERGRfV3mPWj8LdYYTM1/VHo0IiKyl/T0QEpR1tp7gHva2ecm4CZwNVL2xri62g//bSMBJhWsO/s7Z3LUx44ouv+VZ/yYLeuai/HcsOT/EQz5BWtTK7E7vwuEgVTzQU33YftdhTGRoue0TQ8BeS2nzEiwbzQvp/Zer24RERGRHsXzuysmlkBNZYciInvGWqvaj71Qd9WE7emBlPeA/Hkjo/11+4UvX/km0+e1rFL8A2xd8f3/66YWK7Z/AlvwuyAE9Afyz5nG7r4JU/O14ifdeUXeQhi8Nwq3e1uxtgljqoofLyIiItJbefXuMf0K1tuBCbQ9XVpEeqZYLEZdXR2DBg1SMKUXsdZSV1dHLBbr8nP39EDKC8AkY8wEXADlU8C/VnZIe0+0zxB276jPLQeCAfr0Kx2wSMaTJOPN2SbhSIhYH7+EjI3jMlFqcV2v82qeNP4W2/cCjCnshu0llgI7m1eEDob0qlbXtcmXMNF55b8wERERkd7Abss+geTzEFtQ0eGISOeMHj2aDRs2sHXr1koPRbpYLBZj9OjRXX7eHhNIMcb8ETgeGGyM2QB811r7W2PM14CHcO2Pb7bWvlLBYe5V6UQ9sermVKRAwPMDIsWFIx6BQH7qUgpyqUyZ7FnADAW7qXk324Bt+j9M9ccKT7itRY2V9GvFL5x4CBRIERERkf1NdmoPYWxyCUaBFJF9UjgcZsKECZUehuxDekwgxVr76RLrHwQe3MvD6RHCUQgGmwMjLmEkXXJ/Ywr3d7L7Z9d7hUGUrF3XQF4gpVU2SnASZNYUv3Dy+ZJjEhEREemtrLcNCEHkSEguqfRwRERkLwm0v4tUytrXhxMIkvsyxuICIsW/jLEF+weC5G3PFwAzrHCVrcNLLG5e3vbFwu2Z1u2Wc9LvdlsRHxEREZEey9sGgQMwkfmQXoPNtKxtJyIivVGPyUiR1uYuPIY1L78OBqr7VjFq4vB2j1nz4jsFy2MPGUU0FgHbAF42GOKB3dz64O2XwrDFeA13AI3N681AsPWt989JYtPrMOFx7Y5PREREpNfwAylE58FuXFZK1UcqPSoREelmCqT0YKnttzNperYmShwy29rcH2DS9JZr3mouj9KSGURBCyBbi9f0EOz678L97M7C5fB8SD1buC7xKIS/0O74OsPaDGBaFcMVERERqahsICV0KJgaVydFgRQRkV5PgZQe7LF7RnPwjCQAB8+dRHXf9lsMr1r8Gql4MrccrY5y6LyDIfMOeC1qo7QMkADsuIjCqUABCuuyVEFwWutASuMd2Jb1W0IHYWIntTvm9thtn4PAEMyA/9mz89gUtu4MTJ/zMVWn7vG4REREZD/nbYPQZIwJYiNzIfls+8eIiMg+T4GUHuzYz97Ijz57A++/tZlF7/+aQKD9jIybf3gFryx+PbccDAX4e/L3eJl62Nqys04KTF+wu/PWtax14rVYboL4r1tf2FuP3d0y0BGAIY9hgiPbHXcpNrXSL94WwXpXYQJ9O30u0msg/Tq26S4FUkRERGTP2e0uIwUwkfnYxD+w6Q2YUNe32hQRkZ5DcyV6sJEHDWPTO1uYvWB6WUEUgHFTxxQsZ9IenucRCA6E8JzWB3S0RuyQJzDDVpbY9hxm2Er3NfgRd/rG2zt4gRbDa7wdMEASEk/u0blIvewek0ux3u629xURERFpg7UeeM2BFCL+Davkc5UblIiI7BUKpPRg76xcx7bNOzh8wYyyj5k4c3yrdRveeN89GfCTIkfsBqLlnTz6YQLBERgTpWgyU/IFjIm6r9A4iC6Axj9jbVOZoy9kvW3Q9ABUfQICg7CJhzt1ntz5soEUUpB8Zo/OJSIiIvs5uxPwMNlASmgSBAZie8D0Hpt4HG/nf7e/o4iIdIoCKT3YsodfAmD2glYVZEuaOHtCq3UrHnMZJIHgcAge2mKrAUpNlyn872H6nJe3qUgHocRDLfY/16W8Nv1f24MupeluIIGpPgeiJ0HiCaxNdO5cAKmVEDnaFYNLPNH584iIiIh4fhOA7NQeY1xWSnIJ1nY05bdr2fjD0HgbNrOp/Z1FRKTDFEjpwWafNJ1/u/ZcBo8cWPYxB05v3YL4n4vysi8O+GmLrRaoA4L+cv5jXn0UMxTCeZkx0RNbXzy5onA5PAdCU7CNt3X4DYW1GWzjHRCegwkfjImd7Fo4JzqXSWK9BlcjJTgaIvMh8bhLyRURERHpjFwgZUBulYnMA2+LK/JfSV69e0wuqew4RER6KQVSerCJsyZw5jc6VhQ1WtV6ms6a5c1/zAOh8RBsmbUSBDPEf57tldziPDUXuTstuQt9uPU5vI0FARNjDKb6XEi/DsnnO/IyXD2UzAZM9dluOXIkmH6dn96TfhXwoOnPYJPg1UL6lc6dS0RERKRFRgrgbtZA5QMYXh0AttLjEBHppRRI6YVCkcL6JYmGBJ6Xl33R77oWR2TAbsJN8wGIAI15202rLjcmclCLc1ggg029Vri66iNgBmAbb+3Qa7CNt0NgKMQWuOuZCEQ/APHHsDbVoXMBzYVm8SCzHjCQeLzj5xER6aX++ouH+Pejv13pYYjsO7KBFJMXSAmOhcAIbKLSgRQ/IyVR+WlGIiK9kQIpvVDf/tWt1r3/9ubc80D0UAiMaLFHEAKj/Oc1hZuiJ2NMVcEqE+jX4ng/UBO/v3A/E4Pqs8BvB1gOm14Hyaeg6pMYE24+V+xkV3Ml+UJZ5yk4Z+plMP73JfMWhA7FKpAiIpKz8qlXefXZN2hqiFd6KCL7hiIZKYV1Uio4hdirB9MXvI3+DSQREelKCqT0QgcMH9Bq3cqnVheu6PfjFntkwNsAsdNxNVOamZpLSlzJtF5VpFK9qf5XwGCb7ig55ny28Q4giKk+q3BD9F/AVHVuek/yZbAZCE12y8ERkFqJzWzt+LlERHqhLetq3eO7+r0oUg5rtwGR5hs1PhOd5278pF+v0Ljirq5c1GX1FntvJiIie0aBlF5o1KSW2Sbw1N2FKaaB2FwwLYvYBiD+FwoDJAMwofElrtS/xXIMMm+32ssER0DsZGj8E9ZrbLU9n7VNrltPbAEmOKzwPKYKIsdC/NEO3eWxmTrw3iPXASgwHLwGtzHxZNnnEZHeyWY24dWeUXbWXG+1db0Lom9aq0CKSFm8bRA4oLCGHFS+Too/rcdEDofAUNVJERHpBgqk9EITinTueW3JmtY79vt+ixXZ4ETeXNqay0pfKDKjxYow2Ea8zI5Wu5rqc8DuhPhfS58PoOkBsDsw1Z8putnETnbV8FMvtX2efLn6KGBDh7rMltTL7qJPSFYAACAASURBVM2FpveI9Dg2swm7+3+xNtP+zl0htRLSq6Czxax7gUw6Q91G9+FLGSkiZfIDKS2Z4HAITqhcACNbHyUwqMe0YxYR6W0USOmFJs5oHUjZWb+71R/RQNVJQN8WexbeVTHVZ5S+UKxlC+Ske0g80Hrf8OGuLkkbrZCtta7IbGgShI8ofs3o8UAYGy//A4/NBlICY2HbuWDjQAOEp0LyaaxNln0uEdkLmu7D7r7OBTj2hlx3i/03/b1uYz2e5343KyNFpEze9qKBFMAPYDyPtem9OybI/U4jMBATme+W00VuqImISKcpkNILFctIAdhc7C5jv5YdGvKCHOFZGBMseR0TPrTFGj8gEf9n631zrZDXlE51Tb0E6Vcw1Z9pnSabPU+gxqXMJh4q/+5K6iXAQGSamzOcfAkIARF/eWl55xGRvcJm/JbtycVt7+c1dE0xx+yHjuTSznUF6wW2rG+ujbX53S0VHInIPqRERgpk66Q0QGrVXh4UeRkpAyE6zz3X9B4RkS6lQEovNHhUy9onzkuPv9Jqnak6A4gWP1G/a9u+ULBlwMYCQUi3vg4AVQvBHFCyFbJt/AOYPhD7aJuXNbGTIbMB0qvb3A9clgupF93YbMyt9NZDaAqk3wUinZreY71teDv+C+ttb+PaKbz6c/B2Xd/h84vs19JrAbCJ0oEUaxPYrR+Axj/s8eWsV+s/adh7WTA9TLbQ7KCRB7D53doKj0ZkH9FGIIXIke6xEplueVN7THAUBMfs1xl3IiLdQYGUXigcCWMCrTM6ljywrNU6Ywz0/XqRs0QJhMe0eR0TaFlsFlfA1qvD81rXNjAmCtWfgsRj2HRhKz7r1UP8b1B1OibQcrpRC7GTgAA2/kjb+4Fr+WcbgKALoOQGUwOZ1yA8CxJPtH+elhrvhKY7oamNmi+Nt0LyOWi6ozKpvSL7qrRftDr1YukC1el3wG7HJsr4PdCeTB0EBrvn++ld22yh2cOOOYTNa5WRItIea9Ngd4ApkZESGAihgytSJ8V69UDY3ZyCvGlGe6nulIjIfkCBlF6qqm+s1bpXFxdvw2f6nIeb6pJ/guLFXlsLF1m2Je/AmOpPAwGXfZKv8c9Aym+V3DYTGAiRI8orDJmtjxI6BNJvNq/PrHWPwaGQeQfr3wEvh7UW23S3e17iQ5zNbMTuvh4CI9ydof30w5lIR1lvm2sbGjkGSEGqxNS79FvuMbm83W5g7fLqIHgghA7Zb+/ablm3lT79qxk/bSzbNu8g0ZSo9JBEeja7E7CYwIDS+0Tmu99Rdi//PHl1LhvFnyZtIvPB7oL0q3t3HCIivZgCKb1U/8E1rdbVv7+dTLpYpkgQqj9fuLLmG+VdyIwuXLZ+x57Eg8V3Dw6H2CnQdBfWb0FsbQbbeCdE5mFCE8u7bHQBpNdg063bLRcMJ/mcexI5Duw2CIxyy977fvbMLn+8j5d1XQBSL0BmHQQPguQL/p2fFtfd+d9unANvAdMXGy9SgFdEWku/C4CpPhM39a749B6bC4y2EWwpl1cLwWx3i+WuDft+ZuuGOoaOHczw8UOB5qk+IlJCfh2SEkxkHpCA5Iq9M6Ysr75wXBG/Tkpi/wwUi4h0BwVSeqlh44YWXf/CQ8X/mJuai8j9dwiMJBCIlHeh2NwWK1xwhGTraUS5a1Wf6+6MxO9zKxKPg/deyZbHxa+7wD22N70nG0gxfsZN9F8gNNk9D45w9VOCB3aoToptvAtMX0z/7wMexP9RuD3+KCT+gel7ISY0AaILIP7wPtcdyNtxObapeEBMpNtk/OBoaApEZpcuOJt5GwLDgHCbtVTK4tW7u7fR+UAKksv37Hz7oK3r6xgyZhDDxrkpTurcI9IOb5t7LFUjBVz2LIG9P73H/52WZYKDITSpcu2YRUR6IQVSeqlxh44uuv7Oa/5SdL0xEag+1y3U/Ff5FwrPKbKynysGW/KYWRCahm24tbnlcWA4RFu2Uy7NBEdAeDq2jek91qZcjRSizQUkoye6wAZAZpvLoAlP9TNLdrd7XevthvjfIfYRCM+G4OiC6T3Wa3DZKKGDofqzbqxVC13gKPFU2a+v0qyNQ9M92MZbKj0U2c+4aXYhCI7GRI6C9GvYTF3rHdNvup/dyOGQfKbz17NJsDswgcH+77PQfjm9Z8u6WoaOGcwwPyNlswIpIm0rI5BiAjUQnrb3C8569a3HFZnndybbt27qiIj0VAqk9FLjphYvFPvq4tfZvnVH0W2m5nLMoL8QqDqh7OuY0PjWKwP9gRReel3xY4zB9DnH3VFuvB2ST2OqP4UxoaL7l7x29GRIrcRmNhbdblNrgIwLaqRchowJH4aJfcDfYSPuRyCIuwtdxoex+P1AHFP1cTf3OHoSJJ7JBWHs7hvAex/T7yqM8evHROaDGbBvTe/JBsJSL2Ez+kAle1H6HQiOcT8/0aPcuhYfQqxNu84+oYP8YMvr2Ewnp6LkpeebQF8IT9/vahrFGxPsrNvFkDGDGThiAKFwUAVnRdpTTkYKuABG6uXcdOa9okVGCmSnGcUh9dLeG4eISC+mQEovNX5a8UCKtbDoh/cW3WZMABOe2rELhVq2QAbw3ENT8esAEFsIgUHYXVcDYaj6ZMeuC+1P70k86h4js/3K+n0wwUEQmtZcZT8wAlJrwNRgy+jeY5vudlODwtMBvxUzKUg8jk2thsbfQ9VZmMjs3DHGhCH2QUj8Y8+LYu4tua5KFhL/rOhQZD+TWQuhCe55aCqYftiW03sy64AUJnQQRI926zp7x9fzs12yXXsi8yG1Cuvt7Nz59kFb17sg1NCxgwkGgwwZM5jN6xRAFWlTLpDSRrFZ/EKvpHM3dLqbtU1gG11h/nyRuUBgvwsUi4h0FwVSeqlh44aU3PaXG/7Grm3tT2MpR9Fq9Z5/J7ONDA9jIlD1KSADsVPc/N2OXjs0AUKTsfES03uS2ak0fgej0MH+tQMQOwEIgE1D5hX3BiPxBNZ6Ja9nU2sg9VJzNgq4aUqBwdj4w9id/wWB/piaS1qPNbYQbFPHitpWUsYPpJgB2MQ/2t5XpItY67lMk+B4wC+EHZkHicVYa5t3zHbsCR4EoUPB9G8dbCmX52ey+Hdv3V1bD5IvdO58+6Bs6+MhY9z3YNj4IZraI9IO620HU4UxVW3vGJkNhPdefZJcll2LjJRAfwgdik0okCIi0hU6NpdC9hmDRpRONc2kMiz64b188Zqzu+hq1UB+pkUKV5fkVbydV5c+zGsCMwSsaXs/gNipBCLTW6+PLoCGX2Azta2DMek1QBWklgMGQlPxas/A9PkiJnq8yy6xm92+gcHgbXWtAcPTig7BtTwOQ9XHcuuMCWKjJ0LTX4Akpv+PiweXInMgMBQbfwBT9eG2X2sPYDMbwFRB1UehcRHWa8QEqis9LOntvPeBhAuS+kz0KFcLKbOuOQPOD6Rs2difA0Z4hCLz3RQ7a5uDnGVfM5uR4n/oiMwCYtjks5hY+XWb9mXZDj1Dx7jfocPHDeH5v+/lLiMi+xpvW3N2axuMqcKGZ0JiCbRuqNgN48r+TivSTSg6Hxpu0d90EZEuoIyUXioYChKOlo6T3fOzB2na3UUtPotN7wkMARJuqkupr/ifwG6FxP+1vV/j76H+00WLwbqpNRZaZE14mW1gGyF4oJ9Oa4EQpFdhG26CyNHk4oimGrztgCk5jcXaJMTvhegJRdJljwSSLuMl9tGixxsThNiHXdZLtuVyT5ZZ7+pURE/EtW7sfDFP6Xq26X5s4x8rPYyul17rHvMCKUSydVKaM05s+k2sGcYXp13BfTf8DRM9CrxNkHmn49fMFE7tMSbiF7DdfwrObl1fhzGGQaPc77Zh44dS//42kolUhUcm0oPZbe3XR/GZ6HxIv4L1iteo61IlMlIgm3GX8m8wiYjInlBGSi/Wp38ftm8p/kc7lUjxh+/dxZd+dM6eXyg0H9KrW6ybCFX/7oqy7KnEw5B4FLvzasyAH7S4zhQIjsHGH8ZUn9W8PlufJTTGTd0BSPude9KrsYTddJ7kUiAGyef9LkCPY/peWGQMj4NXj6n+eOtt2fbHwXFt3g03sYWuC07iEag6o5xXXjmZDRAc4zJpTA028RgmW5NGKs42/sFlZVR90gXpeou03/rYn9rjno+DwEhsYjGm+tO5/Zrio4g3Jljz4tsQ8X+eEs9A6MAOXdJ6tS49P+/urInMw+7+n+KZbr3QlnVbOWBYfyJRVyA7OzV0y7paRk8aUcmhifRcXvmBFCLzgOvde43u/luayQZSiowtfDjZzmQm+i/dOw4RkV5OGSm92KCRbbTkM/CXGx4k0ZTY4+uY6JTWK1PLMbGPEqg+bY+/TP8fAiGI/wWbLmyrbIyB2CmQXFJYHDL5mP/EAlF/TK80r4vfjYl+AEiCrXd3lkKH+F2AWnf/sE13Q2AoRArfeNjEM5B4AIKTIfm86yZSSni6a5fc1LO791hrmzNSTBiix0Hin1ib2YNzqt1il8psdgWUWwYwK8h6u/Dqzsam3+z8OTJrwfTxM9oc1x3rKPczbjOujkrmLeq3urut61/biAmNdT9bnamT4tW1vnMbne8e95OijFs21DF0bHPAaNh49/3v7s49NvE43pajXK0JkX1NRwIp4elgqvZOa3Xb3ImsJROohvCM/eZ3m4hId1IgpRcbPXlkwXK0OpJ7XlVTRSqR5jeX377nF8q/e5xld7ruG13ABGr8DA4Pu+t7rbdHmzvn5KRWA2E3rSdwAJgRQN5UpsY7IPqB4hds0b3HZja7dVWnF7RotjaB3Xmlu2Pe9ytgt/sZLiVehzFuek9yMTabetsTefWu4n9wNICb3uPVQ6pzNRNsej128+Eu6CR7zFovr6BzD3oznF4NqeexTffvwTnegeCEVpldJnKUHzh61dVRsU28947LINnw+kY8z3PT9ZLPtR3MLKZYICU01WVi7SfTe7aur8sVmgUYng2kvNvJltJlssmXXbHf5HPdep1KsomnXBcV6X28be127MkyJgLhOZDo/t8pNlMHRF1QupjIPEi9sl91JhMR6Q4KpPRiYw8dVbA8bHzzHcfGnU0Ew0Hu/+XDJOJ7mJUSGlt8ffL5PTtvHtP3AlwNk8exyRYtBMPT/UKurnuPzdS5QE5whHuTbtNg8j9cGVeINtAPghNcUVXTxwVfAkOxLTvrNN0LeJiqMwtW292/hMy7mH5X+tktUVcUs63XEVsIZKBUp6GeINuxJ+i30I4eC4Q7370nuRhIYOMPdsXoxKvHFXQGuxfelJct4xdu3pPgTn7r43yRee4xsThXaPbNl92fr3hjgtoNda5Oit0NqZUdu6ZX19z62Oe6Bc3dL+qkWGvZuq42V2gWYNDIgQSCgW7PSMFz/2d6a8DKpjdgt30BGm6p9FCki1mbArsLU25GCn59ksxb2Ew3d8Ty6iEwsORUYxM9iv2tM5mISHdQIKUXG3fomILlTLKwte+Bh40lncpw44U379mFzAFA6z/Ytgv/SJvgSIh+EDDYHd8raFPs2hkvgMRjeLULsbV+wdfsBztb6zryNI8MsNitH3J3lGwT2AZIv+S3KH4Eb+uH8WoX4m39MHb39UAVdvsFbp3/RcOvIHYqJnq0S5eNHgPxR9psoexquhyIjffg6T3ZQErI/f8xgRr3oTLeuUBKLvCVeKKwha10jpftNDUCUkt7zrSpzCb3mHq5aGHo9lgbh8x7mND4VttMcDCEDnZTd/ypQy8vTlBd49qOrnttox9sMR0vjFwsIwUwkfmQ2YBNr+/oS9mrbPptvPrzOj09Zte23cQbEwzJC6QEQ0GGjhnE5ne7+QNf9nd0b23HmnFBP1uiiLnsw7I/bx0IpBD1A8LdnUlY4ndaTngG2c5kIiLSeQqk9GLDxhbeZd26oY5on2hu+d1XNxCpCvPI7x+ncVfnU4+NMcVTSOMP4G2e2zVfu36M6Xs+YCGzGuJ/LRxD9bmuVkrwQCBbyyMEpm/hmIIHNT+3uyE4scWLGQh4Ll03eKA/xzgFoYPccv5X1RmYft9uPjR2svuQ28YdcWMMpmqhq6eS/RDR0+QyUkbnVpnoCZB5B5stBtoRqWUu68fb0qNqeuyzsv9vqj7qAn+plyo7Hp/NBnhIQ6r0FLeS0usA67LEiokcBcll2PQbYAby+gt1HPGhmQCsf+09d2c4NBWbKL9OipsmVV/8Q0dkH6mTEn/EZX21mJJYrlzr4xZ/L4aNH8qmvZSRQuZtbDYQ15uk/S5SqZd69nRO6Thvm3sso/1xTuhQMP26P4Dh1bcZ4GnuTNbDf7eJiPRwCqT0Yvl3GAGS8RTjDh1dsDzrhMPIpD1+8sX/3bOLBca3XheZB1UL9/wrPA0afu3aGYePBMLYnT/Geo25S5nQBAIDrsMMuB5s3F/b2DwlILdjDALDcRk0Caj5GpgaoC8QgvBhQBjC0wgccAOERoPpgxn4BwIH3FD41f/7ha2Qox8AQu1O7yG2EFfw9u8d+hbvLTazHgJDMSbWvDJ2ontMPFb8oJLn2uwCM9Vn+8c/3jWD3J/5Hz5N7KO4DIwe8mY4s8kPvoWxnckwyLYuLja1h2w6ehKSL5PyxtG0O85hxxxK3wF9WP/ae26n6FGQWlF+RozdDmQwxQIpoYkQGILtKd/fEmxqlXvsZA2iretd++f8GikAQ8cNZks310ghs9lNzYReWSfFpt/B/a2xnQ50SQ+VDaR0ZGpPbspgd2ekbGs7IwV/mlH6jaLF9UVEpDxqf9yLDRjaL/ceLmvdq+8V7PPuqxuo6hvjybuXUL95OwOHlVc4rZXIbGhaVbjO9CXQ77udO18ea5uwWz+M3XkV9P06bH8O7FZsw28wNRcV7pxeAzSC6e+KUxJu3hYYB+lXIDAsO0Bo/DNE/8W9ybVpSC2GyJGQ+Ade5kKI/81N38lrjVqKCfTHRo5003v6Xlp6fnLoQGzoUGz8AUyfz5b5PbDQdA/ETujQnOxOyWxwHVAafgvhWZjIbExwJDZ0CDb+D0yfL5Z/Ln9aj4mdgk0u8dtLX9BNA98/uDv3QdfmNzQVm3i2eMvuvc3b7AovB0d17oNC9u59cFzx7eE5QAgy69mx7ThgM2MOHsmYKSNZ5wdSTOQobMNNbu5/rEQx6XwZF0QoOrXHGGxknt8tyLbZ2ryi/EAKycWdGmc2I6Vl4H34uKHUvldPKpkiHAkXO3SPWJsAux0TPQebfhebXIKp+liXX6eiMu+4QFFmo/vdV3V6pUckXcV2PJACbsqgTTyKTa/HhMa0f0BneHVFO/YUyN5kSj7nbliJiEiHKSOlFwsGg8T6xArWxRviBeVMNr2zhWM/cRTWs/z4vBs7f7Hwoa3XJZa1XtcJxlS5KTTpN1z6f/AgMP2g4det0sFt4in/oGrXrjj1evPGQH/36G0mWyeFxEMQPsJlu4BLiY3MdlkUDb8A29SqyGybY42d7ApmttMC1sQWujvn5dZfSC3D7vxPF9zobun1YPpjd/0Qu/P7zXVNoidC6sUOpajb7LSe0CGY6PFKce8K3mYIDHZ3N6Pz/e9pY/vHdbfMJggO8+90rsZm79iWyWbWukyoQN+i202gD4SmAQk2r68BYMyUUYyZMqo5IyVyOBAtvw2ylw2kDC662UTmufpKe9DSuTtZrx6899xUQ29LriZHR2xdX0soHOSAYf0L1g8bP8QVovUzVrpcJq/WT+RISDzb+2oopd9x/zbR4yDxlCtQKr1DZ2qkQLe3Vnd/C+LFs+zyhaeC6dvjM+5ERHoyBVJ6uQFD+uWehyJ+AlLee9VAwLD53S306V/N0ode4t3VGzp1nWIFIqEWb+spXfJlk6vdm9GGG6DqTNeVhwx217WFl8x2lvG2uW4z3rvN2wraMWejSWnX2QfTXE/Fem66T9M9Lr0/PKP8b0T0RHeudqf3fMg9ltnJxsb9lrLxR7r1w4a1SddeNlucN70KUi8CYGInAh7EHy//hMllEJ6BMWH374eFbLBLOiezGYIuq8pE5gEpV4emgqz1f44Cw/07nbbjXbvS75Sc1pMTOhCADW9liPWJMnjUQMYcPIr6TdvZvb0BY6IQmeN3iiqD56e1B0t86MjVSemhRRn9bBTT53y33InpPVs31DF49CACgcK3A8PGZVsgd1PB2Wx9lOAwTHQ+eBub6zP1AtZrAG8zJjTeBZHtbkgur/SwpKt0YmoP4G4EBYZ0X52UXHC47YwUY0IugKlAiohIpymQ0suNmDA093zwyAMIRwtnc3meZcVjq1j4bycBcO3nft65CxUNpACZd7vg6x1ovAGqzgWbgvRKdwc5OALif8UmXbFNaxN5hTfj/hSBbOHZgS74Yqr85RgQATPAFa4Nz3D1UwCST7sgjN0GsYUdSpU3waEQnpVrxVxyv9Bof7/2u/dYm3b1VEy1+1504q5z2TIbAeuyf6Inu8J4jbe6baFDITAcm3i0rFNZbzekX4Pw4f7x0yAwuHV76W5gvXqszbS/477I2+zX+cH/3oYrf1fRqwUymOAwV2fIVHf8g0L6ndKFZrMCbuph085NjJ48EmMMY6e4Nu/rX98IgIkeDek15RVz9kpP7QH/5zQ4uud2t8hO64mdDMFx5Wfi5NmyrrZVoVlwGSkAm9d2LpBiU69j02tL75DLSBmeN82gF32oywbuQwe6QsmE1b2nF7HeNlc/zUQ6dJwxxv1/96cMdrlsxmd7U3vItmN+F5vZ2PXjEBHZDyiQ0suNnjwy93zz+lpO/coprfYxAcP2LTvpO6APrz3/Jld85Ae8+2oH7wyWaIFMn6/u+VfkZHeund92H+7jD0LwYP/uZV/sjv/Eiz+JbbgFSPnjCEI8r7hf9m5r1af97U1A0k3pyWzwU+P9u9OplyH7Bsd2/EfExBa4qQ3tTNsxsYWQfg3b3rSB5BLw6jF9L3XL8Uc6PKay5e4IJzF9vuCyf+IPYTOb3BvA2AmQfMa1qm1PagXgYSJzAL9NdfRYP8U93W0vwXoN2K0nQePvuu0aFZWfkRKodkHARIU/6Od9KDYm4uqZdKDgrPW2uXoZpQKyuR3d/7t+A9Yx+mD3u23sIX4gJTe95yj3WEbww3p1uO5e/UvvFJnvumz1wMCcTa2E4AQ3HSpytD/Ojk0f2bq+rlWhWYAhowcRCJhOd+6x2y/C7ri09A55GSmuQ9rQygcEu1Ku5k/232euim33Ju10xmmLmzJY2z1TBjsQSMkFMHtr+3ERkW6mQEovN2ZKcyDFZixrlr9NOFZYONB6lkdve5JPXPZRAF58bCXnT7+E687/JXXvl1fnwLVArmm9oeGGPf9K+tkd3iZI+FNcUtkU9t2QeRO2fxF2/0/2FQEZSOe1YM0GSRpvhsCovAEmXb2VTLYIbx/Ag+RT7vUkHuz4XaPoAveYaCfgEfsgYLBNbU/vsfH73VzmxDMQOrjdbJc9YdPr3JPgQRCeian+DOBhG/8IgIme5FrulvHB3SaXAUG8wGH8+dq/0rCz0U9x35mbLtQtUsvB7sZ2Z8CpQqzXAHYXJlcwGTctIv0K1ttRuYF5fq2ibIAnOt9vaVtmi+9s5kJ7GSmZt7H0Y8qMWsb4QeLhE4YSCgebAymhKWAOKK+LjVcLgYEuyFeCicwHu8sVqu5pUqv8TmP+99w2+AHM8mQyGbZuqGPomNYZKaFwiMGjB+WK0XaE69b1DqRWlqyJZDObXYagqen+u/QV4FrFGwi54skm+gH3/zf7O1b2bd62TgdSunXKYC6Q0k6NFIDQJAgM7LkZdyIiPZwCKb3c0LFDcs+D4SArn1zNIUdOarWfl/G47+d/Z9oxU0inMhx12lweuuVxzpt8Ibde+Seadje1f7Gi3Tb6dcFXfuAnCNGPuKeB0UAAzGC3n8l74xCalXeMnykTnOTufNLitQSGQup5N83H9HHr7C6InQrp191Uog4wobEQmtLuB3kTHOrmKMcfKPnhwdoExB+G8ExI/sN98Ei/gk13rpZNu1L+HP7qczDGuK4C0ROg8U43lshcMH2w2Vo0bZ5rGYQO4fWl73PTf9zG0/c85+6aE8J2YytQm22jmnoJmy0I2Fvk38XPytUkqWD72GzAJOhPOcrvCFHW8W23Ps5Jv0UyNZKRE5JMnOF+L4TCIUZOHM761/3OPSbgCjomyyhe6tW3/4Gjh961tZktrgZHeJpbEZkPBLCJ8qf3bNu0HS/jterYkzVs3JDOZaQkX8iOEhJPF9/H2wyBYbmpk916l74SMmshOMrV7QGIHu8elZXSO3jb3HuGTmieMtgNv1PKrJEC/u9Kv05KbwlgiojsTQqk9HL5KduZdIYjPjST1UveKJiFE4oGCcfCbHt/O6ufXcOQMYN46fFXuObvV3DEh2Zx2/f+zHmTL+KBmx4hk24jvT00JW8he4GdXfCVn6qeac5K8TYAHthat5/N6y6Rzs948N8gZNZA5u3mNxq5U77p9rHbweZ9aKj6JJgqbOOfS7/mEkzsZEgtx2bari9gYh92HyLTq4vvkHjCFSnMftjL+OMrs05JhyWXAqagDampPtfVi2l6wE3biB4LiX9irVfyNNamILkCIoezya+xsOmdLZhAjeus0o2BFJLP+VM1vE4V3+zRclNo8gIp4Rnu/2kFp0VYbzMQ9qf44WeF9C97TDb9DhByrZNLXmMHeFup3TIegAMPaZ7XP2bKKNa91rxsIke7LjbtfSj3atsNpJjgYAhN7nl3bVN+howfSDGBfi47pQN1UrLZJsVqpICrk9KZGik2+YILSpsDsIkni++UN0UNyAu+9bDvc2e1qPljQmMheKDqpPQWdnvnM1LAz8Dq+imDLgMs5qZ9lsFE5rugZkExfhERKYcCKb1cwZ1GCxte30i0Okp1TVVudTqRIRVPYa2lun8Vxhis5/Hzf7+ZS37zFX72zPcZfuAwfvrlmzh/xiUsuX9Z8bsXzQBt2QAAIABJREFU4an5l8ISAIJd8FWk9krVv+I+uA0E+kBodvM2M9A/Ll8A+n43b3Fs3jYDoalAtu1qldt/11UQPQXi97spFR0RXeC+C+1lbsROAUIli87a+APuzlL2A7S3EYITumV6j2ul+j4ERrhWs1mReRCahG28FWstJnqi6+qTaiNTJ/UqEMdEDmeL3/Uje2fbRI+H9OvdUuDOervddIfqs/wP8r2sQ5DXIvMD8mqSVPADqP+hOJddYIJ+TYgyW9qm10JwjOvuVHIfV2T5rVeHUvt+iEGDm4OPYw4excY3N5FO+bV3otk6Ke0EFcrJSAH/Q88y19Wqh7CplUAAQoc0r4wcBamXsd6uss6RbW08tEiNFHAZKbXv1bcdQC8m+bwrhBw9xq+JVCTo6m0pCAh26136vcxa6z6Ytsywin7AfXj2dldkXNKFvG3l1SEpwUSOctNc06924aBwN4rK+Z2W1dM7k4mI9GAKpPRyA4b0IxBoDkS8//YWrGdp3Fk4vSUYDtD3gD706V/Npne2MHvBDNa99h7XnHM9U46cxE+f+m++e/elZNIe3/noNfzovBtbvbk24YObn2P58olHkBn4MoHhq/foywxb0dylBFzHnviDUH0O2HqgAWLHQchvUxyaSHO3HoCYe1Ofycv6MFV5262bCsBuINzcgSj1ottmGyD+t45940OTXReN9qb3BA6A6NHQuAiv/guFX3XnQfwhIAKp5wA/RdzbDqmleHXntD6m/gvYhts6NlafbbzbPYnMLlhvjMFUn+Pe8KWW+W2Mg21370n59WnCswsyUgD/eLonKyW1HMi4u2zRo/0Pcd2fsmyTS9vuUNJVMkWm9pCtSfJW+TVJulpmU2GWDNk7ne+V19I2U0brYz+Q8vqL8OqywQQzz+c+oI+dMopMOsPGt9zrN8FREByPTZbOSHIfdmvd75N2mMh8IN6h+iPdLr0KQgcVBD1N9GggU/aUqmxGSltTe7yMx9YNdUW3F2MzdZB5CxOZi4ke47LZ0qsK97Fe64wU6La79HudtxlsA6bF/2kTPR5IdShrSHoeaxPu33ePMlKOdI9dHQDvaBHc4FgIjMBWumC59Do2tRpryygLILIPUyCllzPG0PeAPgXrin2wNCZAojHBpre3cNixh/LUXUs4/aIPs+T/lvG7K+7EGMO/nH4kv1n1E87+zpk8etuTXP3p60gl86bdtKiRUtO/lpVPvdYFr6EKBv+NXJaJV+uCG+n1EBwNxKDxT+4OJ7g36AVdOOKY6LEQf6x5VeZNd5wbOGR2uA+CpsYFKsDVVInfB4GR2KaOTe9xHW4WuDoN3s62963+gmuRaXcUfnnrAc9/3RZIAIH/z955h1lR3f//dWZu3Q7sLiu9SVMRFKUK9hJj70ajaUZjosY0WzS2nyWJSTTGNGOMUbEXon4tUVEBFbAAUgTpIMsu2/f2mfP74zO37d7dvdsQwn0/zzyze++ZmTO3zJ3zOe8iEdAg0qaW21hb0I23dsonAZyBTeAx6U/ccyEV/lOE4dH8L5RRDJ5DIPxm63bx/UWWgDkEZZazY5MUUhISAXOkzDz3gleA+KO4wT0J5ZklzJlY9z+D7R5TW+jay9ANt/bqcQC0vR1UkXwnUtFZT5Kehl2ZxpIBwJtdpK3WtsNIab+QomNfAF4++6CZbZuHC7XeeW/jptoJw1kQdkZ7KTa6GQihzGwYKYci/iO7x2BDay3MK1eL76p7oiPzyk7StmNzNXmFfvKLM8sA+g8rBzoZgRx1/FE8hwojBQUt5T12LRBNM02G1Fn6NqSOewraMk/2HASqcJdEwOfQi7AdE/5uFFKUWSZMz55mYNk1kM01Ld4PpRxPqQ/alevmkENnoO0AeueZ6Ka/ftVdySGHXkWukLIXoHSQ/Kgqh5kSaAgy7eRD0trEIjGi4RhDxg1k1Qef06eihA9eWsLx3zqCOXc+x5uPiUTC5XZx0c3ncNk9F/PuMx/wq9N/TTgYlp0Y/dA6yX4ZNznMwhcX0RMwjHwouif5gCqAyOvg+xoQkplv+0vABHsjxG8IlMh1tGu0eKkYFdIGK5F2IUadC8B/ljBc7C/BM9uJRXYGbNGP0dE1neqz8h4LxEQa1N4NSnxw3PcxjH5PJxZcI6W//vNTdyprczCYI9LaG/2eRpW+INKf+us6Rx+PzJfXML7vluei/JB3NoRfR1vbUN4jIbYmYwKF1hoiS4QFBFRtruTrF1XTXFdFJBx1btwOd2Qf4ez7mNV5fAjuA0Qf7p0pj7Xl0dBTiK2WIlZkUc+fT0tkmsUHkXeo4q/Ex0OYHa0ZKZgjwSjreKBgbQMiHUcfx9aCazibVmwjGJwojzkz+4PHtC6kKO90iTdvi0XSiXQLZRSKF8nuQn+3K8GublX0FJnXIZBlIbVqi0QfxyVZLVExTMzKO2M4K/4ofnDvhzL6gnt/dLiFxC6TaTIkZ+n3dHlPG+bJSrnluhSelxu07smIT7Z0h5ECDgNrcc9KBu0aR96cPZRnalphOoccug1rExDtXT+8HHLYDZArpOwF2GeE3KyWDpQfV6UUtZV1HHHezLR2LreYzhb1K0QZii2ff4m/yM8Bs8bx2+8+wOpFSePG0686kav+fAmLXvmEG066k2BTkKotO2luTH6kpp9g8P7cxT0mrTDyTgAlM6ToWsAPwaedJBhnIGD0AVyA4xFgDpZUnsin8r/va+J7AsmBFLYUETzTk/txDQOCsm8dQ2KKn+xch90TwByMbvgVescUkd403osOv5NIk9HRpej66yHyTpp8SNt1knbhOxHCr8qDnhkSPUyTk+LzfisvBKV8qOK7wN6Obrwj667qwGPJxKIMhRQAlXc+oKWt90h5MJMHjLUedC3KczBaaw6asYIf3bGVY8/ZmZASKO9sINSjDIqEP4ozGFNmuaQntRzE9TQSCSUhiHzUu8dykk5aotOeJD0JXQ+EUS0YKVlH2sZNDjuS9ljriMSG0FwfoM/A0eAalWBe5Rfn029AHzatTmWkTKXdFJt4JHq2fgKeaY7/SCf9knoDcX+iRDE4CeWdAdb6rDyIdmyqTjOa1aFXset+nvg/XmTZsbETEciRD4URFve78cxqnaCVyTSZ+Cz9qN2G+dNV6Nh6KSZl+q56j3CYcrthnHYO2aEHGCmQKhn8tPt9wilq2zs7xUgBcj4pOfQ84pLe2Gfo+Pclhxz+B5ErpOwFGLTvPgDEojGK+hWitWbVB2sYP210WrtY1OKLjzdw9IWzqd1eR8WIcp6/9xXO/tnJ9K0o4cZT76Z6W02i/YmXHMPPH/4hS+et4BfH3sYtZ/6Gys3exPNDRzezfUMVGz7LwiMhW/T5W8o/EacYokjKfgLgShlcWFudlBlJ+lH+k1GFVzvPrSNpMAvKWu0UCExJr3EfBuGXofAaQEPgiU7NHClloPo+jiq6XUxl7R3Q/Cd07XfROw7FrjoavfNCUHlgVKCbH05uHHoViEnhJ/YZqDxU8a+T56l8SLX/7dbH9UyE/O9A8Km2EzNSoK1tEH7LMdzFkUtlOB9zIHiPFhmVWS5JJqEMhZTIEll7JlO340vOvlwGdAcf3pj0SfFMAXw9S3FP+KMcmnzMO0vSk3rR3FFHFkmxDlfWkoouw8ogoXEgniTbsvMk6dE+bZd1BqZMVpG2MWf2vh1pj7YDYG2htloGCIPHDnSkO4sTLKDBYweyOTW5p6MUm0RMaMceKYlzIZb0//kKoaPLARPcY1s/6XGMdrNgpVRt3knZoOSgS4deh9DziXh1t8dNvwF92L4xO0aKtusg9nnad1B5ZyEJWikxyG0xUkAKYNHdy9i304itA3OYxMu2hHcWInd6e1f3KoeeQnxgqLrLSOlhyaBuBiLCBOsElNnfSZTKFVJy6CFYcbay/mqN8HPIoZeRK6TsBeg/VOjZtdvrGTBKBmEuj4tHb3uGgU6RJRVP3PU8U048mO3rdlBQks+fr/4X1z/+YwINAX512t1JKQ9w9AWzuGHOj1n14RpWL/qC/D7jE8/58+q47NathCtvxG64tUcWQk8Dqf4nBkTec2b+DCAAOiRPqf6it3dPkIu6ygfXOImhNPYBdEpks4kOv4fKOw+wILYMDG+SteI+BAh1Wu+pzHJU3lkYxbdhlM5FlS9G9fkXFPwY7GYg6PihbIfYcuzKQ7F3no9uuldu0gLPSX88R0oMq+cQwAvRdSKbaCO9RxVcITO79dd36NGiA0/Ka2GWg9EXZRS02Vblf1MowMG54D1KBjwtZht0dIn03RxOtPZv9CmLsbN6BBOmN7FjowzQlPKJLjv8do8xKBL+KClmuTKIi/XaTJvImBYJW8g9MWtJRdeOFXPiejMMPiHFk2QX37TEB8VGhgJPhplOu/YH2PXXJf7X1nr5brZX0HCkEts2CGtq8JgB4qdBCCIfO48NZPOqremfp/ZSbBKFlGwZKQcDnt1jsBFdDq595XvUEq7RjqSq/c9iJBShbkc95UPKkg/GWSwp0ppORSBHFgPauU45cE8AVZLGDBNTZJXxPReZQQCiS7M75u6ITIk9DkTuNBEdysUg77HQPcRIMYrANb7nrtkJuWIX0oS8UyHawzKjHPZaaGuzeA6qQnTkvY43yCGHPRS5QspegHgiQ35xHqs+WIPH5yEWiVFfVY/b68LlcaW1N0yDhS8uYvDYgTQ3BNi65kvefmI+1zxyBasXfcHvLvlL2mAlFrXQtsYwDRa8nJz5V8rm+PPrGDLiQwg+083lBQi+KIuKJzpYiIwHx9/DlgGZtVoecw0nYSQL4Jme9AIouMLZxdrkviIfoN1ThJGh+kH4DRm0Bv4BxffKvpr/nE5R7ySUUYDyTkVhg94JhTehyt6C4t8AbjCKgahQv3UthP4tG4Zfxq460kkuCUNsCegwhF/DrjoBu/praYveeZo8b1eiq45o9by98xy0XSNGnMGnZJbUrmlT1pOA+xBwjUEH/uWwd6zWHiSRJTLotGsoKXiG914qJmJ8G59fp83mK+/h4kNjfdHl1zP9uB+Ce0K6Eat7Iqj83pP3xNY6MqZDRFIR+0xipHsDdjVgy+xhJpgjwSjf9T4p7TFSWkTaah2F8LsQfjN5DXGMZtvy6ZA28hlZu8zE43OLHMVzKOBGO6bHQ8YOpLk+QG1l8vvZbopNQtqT3aBDKZ8U6b5i+rsYzS4Tz5YMEEnVNIgsaNeHI57EU5YafWx9KcdIOcf+Q8uo3JhdIUVHFgEeKZ4k+mNKglYkJQbZrgSjNHPctedQQO2xPilaR5L+Wm1AIuCXo61OmPjmsPsgIe0pbr9dNvBOc6Rvge7vqxuFFOWZtucXMHPYfRDbLAEUnqkQXrDrJcc55LCLkCuk7AWI3yg31weYfNyBiaQdX4GPjZ9tIRaJJdrmFfmxLZu8Qj+bV23FX+DDX+Dj2T+8THFpIRffci7/ffRdnv7tXAA2rtjMPd97gP1mjOH2l67lo7dTj6zx+WP4/DH5ge7OYpajyhdg9F+E0f8jMPZ1jmFB0Z0phwwgSTfIQMk9EcLiPaL8JyWaKf9pgCnsCseQFt2Eii1HFf7C8X3wyQ2/tQUVXShmtETQdVd160dBh+cL48R3MirvfJQ5EMN/spi5WtvAc4Q0LP6ts4UX8n8A7oOS8htw5CQajCIwR7VeXPvJ4Fo3gkptM1yinYPPSbHIrkL5zxdJSAeFFIlC/qZjsBqUgXuKvEdbVWBtFH+U5gcwjTD/vKuC4n2OJBo26NNnWXJnPRiD3NIfJdlfjwwqw+/0zg95akKJZwa9SmNtw1cijqw9SXoYSXZBWeYGqZG2sTVAWG74494osY6jj3VsLWCy8sMQA/fdB8MwhDnlPRJCL6J1JCW5J8UbpJ0UG23vBFWSeTDfBpRnGsRW9l6xLBtYW0DXoVKKFS2hvNPlNW7HPDIZfSy/D1pbwoyDtM9Q/6FlVG3e2SruPiMii8A9EaW8aQ8r72GOxMtJ47Eye/0AKKMEXOPR4T2zkCKUdrtV9HEavIfLOmfEuEdC27VOelr21462ID4pPSQZ7ISBdit4prAnFzBz2M1gbQbXYJR3piM53vBV9yiHHHoFuULKXoD4jfL+M8ey+NVPufDGs1BKEWwM4fbJjUB+icRfBhqCDBk/iEBjkIrh5TTXBwg1S7tff/tPnP7jEznsjCn8/dpHWfz6p9x85m/x5fu4Yc6PmXzsRC66/drEcbWGmNWXnZUmoVARqLIuLsUy8x94PHlSJbc4f1gQmpuSbJMygLTWCsU8tgJQSe8AxL8Ed1wCUpLsc3g+ynccqt9TaQND3fgbyL9M9hNZAIFHu/ReaOtLdN3V4BqFKrolbRZe5V0ARCE4R1JYwm/J8byzMQqvQOWdh+rzR2e2V8ngXRWBOQyjz70ZF1X6gsiXrE2o4pudx+8H98HowJPo5sfAGIj2TJciThv+KGnwnwSqBAL/loFs5J3kbFpU/FG0MRgCj7PikwOore5HQZ9SNqzpz5CR65Pnaw4Qn5WeGExk8keJH8c7y/kh7yHmSwp05EMZEJqDhSGgCnvPJ8Vum/kRh/ik1EDs897pQybY29tmF8T7FI+0TZ3tjHyE1iGwt7U/6ARhpJhD2bCikkFOQg+A8p8u5xt+W3xTgE2pyT2JFJsMKSnWzs7P3Cb8R75CVkpsuazbYKQAyX62w56p2iyMlITZrF0FWBKpbFclvi8Vw8qxYhY7t7VfPNJ2o1xrU2U9if7MknWcvWa3kT6VaD9VktJ0sN1j7paIrZN1e59p11jxxcr5pOyZsGvBKOm4XTbwHAy4eyYGOSFX7AIjxSgB1367h3Qxhz0aWlviT2gOdiaYSPfIyiGH/yHkCil7AQr7FOD1e9j3oBGMmjSc5+59mUvvuQiASFD0sHlFeYn2m1ZuwVfgY/v6HUw4fD+0lnbb1m7nnzfM4Sd/v4z+Q0u56dS72fr5Nq5//CpKB0qxZvShU4lPhjfUuLHNaaxYXM6qj/tL7GNXFnMUALrpdwk/DsNzMBhD5UCR+eA+EEr+nHLWRvraNU70yKkouFTWOiXpw7nYK/d+UoRIJPxsg+ATEouMB934/9DRFZ16H7SOoOuuBCKokvskojcFyjVSijv2dhkIhV4GNMo7HR3biK45D5r/ivIehzAf3gHvEY5MIprxmEp5nBSfOnTDrcnH884S34noB6i8c1D2DsBCdSTtwZE45J0tbBbPFGEBhd+Qc4wsAXwQ+j/A4OXHx1I+VAZq27eOZp8hjWhHPgAIKyWyOLOHRSeQ9EeZ1PpJ72Gy7mF5T8IfxT0Z3XC98/mY1ns01jgjxaxAR1egIxmSHhI+KbtwVrEddgHgpOcgiULRpVKEUyXipRPbiPjzDGv/GLG1aGMEX66rZPDoZCEF72HCigo+S+nAvvjyvWxauSVtU+U/SVgcLYsK9s6sjWYTSBTLes8LpyOI0axbvFDagDIrnPSbtot68UJKwmzW8UdReWfI/86Aqr8TgVzZUXJPdAlgZy5mmqXOIM0ppHTwmVHeqUC091OwegNZmCcnIuAj83OeFHsi7NruRx87UMrvMGd7oIDRHY8UcHxSPukZmVEOey/s7UAUZQ4RT0Jz8Ff6m5lDDr2JXCFlL4BSirLB/dj5ZS3XP34V0XCUd595P0GFB6h29PIAaAg1hUDB0rc/49iLZyeeeu7el1i3dBMzT59KJBhhwKgKJswen3asuFmpbWuuO6eQpR9fyI0XlBDx3IJRclenF9X3b6D6gm5GN96b7GfRjcm/G2+FwCMpZ20DCoKOoZ/v+Navi2c64JYTxiMPxj5NmLMqowBVci8U/Eyea/4TmPsAEfHdqLsCu/Ge9pfaK7Drr8duvAe98zyIfgKe6ejg8xnbEy8oBF8izq7R0RWJIogOPIn2HuWc4hbwTBYZUuTDNt59UO5xqILLIfQfdMiJUvYe75y7EsmS5Qw+syikAKi8b8i20eXigRF8Xp6ILAHXKAi/BPnfZO0nASqGSWR1c1AYQJGGN5P78R6OmMF2k8UR+aC1P0r8GOZAMEf2vE+KtVFm7s1+EHwa3fh7mY3vJRqrtisBN9q20DUXo+t+1KpgI+c6ZNf6pHTALkhE2kbed7w9DpCCV+SjrKKPxXNiE42N/bEtO52RolzgPxXC81C6msFjBrB5dYvYX98JYPRFB/7dot/VnY4JlZjpqV+tT0p0GbjGCNumPXimQ2RRItWoJXZsqqKkvBiPz9lP3GjWM8XxtXEKKY5Z+fYN7Sf3iD+KGzwTMzfwHgbRT7CtHaDr2/b6AXBPRlKw9jyZgbY2gFHermk3IDHIujklPj2HPQY9WEgBp3AYW9Et/zWIyxXzMv4OZtUPzzQg6jA8c8ihi4g5iT3x+0nPDEcumnnCL4cc9mS4Om6Sw/8C+g8r57P5q/D43Fz5wCXc9c37OPabs9m8ahtKgbY1ptsUHXx8bOas33p8Puf8/BSeuPsFtIbbzrmH+upGhu8/hPXLN/Hk3S9w7jWnJQ9m9AeriZLSGD+46Xnyi/yccHqQ2PavYRfltepbVvDOhNCLEHwcnXc+yr0vyjsTbZRLrLAOZhiMK7BFk6+8s1vtUikT7ZkBkbdJ+KqgZTbfd6zTRqEKvocd2wChpyD4OOADc4QMApv/3k6n7ZT9Ktk3SiQ74bYSGxy/Gr09+VDwWcRYF7C3o+ztaHOoDOR1VDwgwq87xpptIP8SCP0XXX+jDFISbBgFyp2MzHVlWUgx90H7jhWjWv+5EPg7dnSdUPuNQeLWnvc9Kjf+iIlHigQhr88BVG1zk9fvTbx9viE7ck8CVYwOv43KUOzKBuKP8hnkf7/tRt7DIPAYWge7fJPZCvHiVeR9OV9dD/GEpPD8Dn0/Og2rUnxxGm8Sbx+NpEu19MrwTIPQS2gdk0JDb8OqzCznSOvTVAg8DUQg/2iU8qHDbyVZXe0xUmIbAYvKLWLsODilkAKg/Gegm/8KwRcYMm4Qy95dmf688qD9Z0Hz39DWNpGUgcNI6byXgPJMQ4dfR8c2yWzbLoTWtnzWfV/vsK3yzBBT6MhHYmjZAlVbdrYwmnUKKUaFvF+h19DaSkh/OkzuiSwC9wFtfr+Udxa6+c9OtDvtM1KMfLR7wp7p1xBb3zHDChz2mFeufe1du3PY/WDXgmtMz+3PMw24T35TnHuPLsGu6TobBcAdlxktFG+LHHLoCuLRx87vo/LOQAfnQPRTmfzLIYf/IeQYKXsJLrr5HELNYX4860bGTtmXYy8+nNcfeYeywf0SUhwrKkWU8iH9MMzkRyMajjH3gdc4+6cnA1CzvY7SQX35zdu/YvbZ03jol3PSBy9OFVopE2UOYc1Sm+2bfWzb4AVzSOcXXBD6D5hjAI1uuAWttdCjC693DmoD6QaHySIG6ObHMlKokwa0ScNdHWqt5VRF1wJ5yFcmBLGPoe9DGBUrWi2q/2fCAMF2DFU9sp1rIqr/sozbGBUrUP1ecF6/Yc5By8B7FKr/ZzKAVoWAiQ4+mxxIRd4Dz2EQeqPdhA6l3CLx0U3ohl85jJeo9DE0V6LqcGWOsG1rn3kXiveF8st+Ag/K2t6Eyv8+TXUmwaZQgpHSf1h/Fr9diNdcIlG+OIwC70zHDLbt/reL6BLa8kdJ9NU7C4hkTm/pInTkQ3lPYp+jCq8RpkVornjO9IZPil0pRa/wG5B/KWBmjL+W+FinuNTL0Friu1V70p54nwgBtpikxiOqIx87s/f5bW/seHVsWCUeLK0KKa7h4D4IHXyGwWMGsGNTNcHmUHqbvHOlv47PktYR0A2ozkp7ALxx/5GvgKpsbQLdiGrPHyUOzyEIqyPzZ3HHpuqkPwqg7W2gioWJl/C1WYHH56HvPn2obIeRou2AY/bcTkHNPVE8neLynvYYKSCDy+iybsv+djli67Iqoirll2JK+K1cosWehh5mpEhEuL/7TMJuFlKUkScy6ZxPSg7dgNxPupP3k56pgNGu1DSHHPZU5AopewnGTdmX37z5K8KBMFfP+iVfv/RYBo0ZQKAhxczP8T3dsWkn5UNK02KRA41Bnr33ZQ45QWjboaYQ2tb8+K+XUjG8nNvP+x11VU7McEK7bzFsbBUTZ4QYP7mRsooNEFnc+SW2BTBBeQEN0Q8SjA7lO1ZuztFAKoVdAc6NjjkcQk+gay5EWy0GA97DkiceR/hNWkIZBZB/AVKccV6XnedgV5+avlSdgt4xA930B8ckd7uzjQX2FvTOs1tvU30qdu3l6OCLgAHWDlnrKpRnsrBF7EoxgUTLjK7HmWEOLwTv0cLK6SC2ULn3RRVcCeFX0Y13g2tfSccIPOUk9gwU6UK2cB8MrvEQesZZO+k9qgzyL0xIAeIeCxXDy1n8ViEuV0BmJuL98s52Ej26NvDXkQ9p0x8lDs8hgK/H5D1aawg7jBRzKPhPQ+V9S1hKrhESpa1j7e6j07C2igTLfZC8j54pEHq99SAs7kmyK+QnKb4t7SK1yOWeIEUn3GCtk9erPcS+ABQrF8Xo07+Y/OLWRRflPxOsdYw/RK5nWz//Mv15c6D4CQWfkiJKd7wEzOFiFPpVyHuiWRjNOlBGgTMoal3w0VqzY1N10h8FJPrY3Ef+TvjaCCOk/9BSKje145ES/RiItV/MVC6JQY5+LA90UEiR4pu9R0lftF0riUpZstEkAn6T+FXlsEdADJBDqJ6U9iiPMEW7m1TVXUYKoLzTIPYZ2q7vXl9y2HvR4n5SGcXym99bRvw55PAVIldI2YswatJwfjvvFkyXyfUn3M43rj+DcDCC2ymYeP1JRkf1lp30rSjBl5d8LBaJseiVTyguLaS+upEfTrmWYGOQXz55NQ07m7jrm/dh2zZ4DnC2MFC6mfxiTV6BjT/PwraaRBfemYUmIAqxpeCW2WDdcDNaR+RCXfDTlLM0EblKASDGtFiVYI6D6KfoqiOxq47H3nk2ds130PX/oyGbAAAgAElEQVQ/B1po2fUO7JoLsWsvSVuILnP2HTetDcvsY+pifQ66WvqhwzJQJAZ4pVhg1whbIHWxayD8OgQfcfYdcKKNQcc2SGIQSMwxtnPcteIbQ9AZkLjQ4dbshFbI/47MDOs6lP9cMZ2NrYDo59kl9qRAKSVMDLvRiUOWwakqvBKlfAlzyrjHQklZESsX98O2VXpBwztLXteuJli044+S7KsXvFN6znDW2iryK92IKrhCBom+42QGxq50GCHtF7Y6A9u2k2agxXcJ28t3jAzAWqQRKbMfuMbsmoG+5UjQOmKkGCXOZ9uDMvuJYbF7P5HXdCCD0LG1YA5k/WdVaf4oafAdDyqPEWMkQjQ1uSfRh7xvyHct9EpKukXnGSliFDpdzHO7yqLqInR0GeAVH6IsoLwznEFRbdrjzfUBgk0hyoekRFZb28CRPSV9beKGs+XtM1IiiwBTpHrt9cdzmDBdoGP2m2ci4N2zfFJiG2TdjtFsGhIxyG1JPXPY7RD3MelJRgpOAcP6womT7yK6KFdMg2caInHuOfZmDnsZYptb++15ZkB0acKDMIcc/leQK6TsZRg6bhD3vHMLBX0K+MNlf+XkHxxHNCIz5+FAmGH7y8UvFrUINoXwFfrIK0ofoDbUNGG6TSo3VHHVzF+SX5THD37/LRa/+ilz7nweXI5ng2cqRsVyzIrlrFjzFCeNmMC3Zs5Gl36KUbE864XyT8FwvAii7wN+sL9EN/8LAJV3OiK7AWGmOF4kCQTEU8IcgTA+1onpa+RdZwYogwFWdBNY1emL3SiJI7qWZGRyqMXieJlgOf/H9+2wZeztzgxkyhKPtdVOP+PtQJJgwv/n7CLuLdBPWCA+J1Eo8oHji/FahxRxpUxU8W8g79vgPx18JwE+6UeWRrNp+/NORZW+DK54tLRCu2S2vLIFI0UpRWHpALauL0vS+wFl9AX3gV2KAk34o3imdNxXz2FgbUDHjdC6gUSRwhwKvhNl/8otEdbx6OGenH0JPoJIxY5AuZy0qrjpcOj11u0905x44cxGoz0GO0tGijQGoslIW9d4wOr4cxf7Alwj2bJ6W3piTwqUUQC+4ynwzcOfb7M5QyEFz3Qwh6EDj0lRE7pUSAHHqFrXSaTzrkR0ObjHtRk13QqeGSR8n1JQtVnOv7ylR4qZ8vp6pkmilo5QMbSMHZuqpaCXCZEPwT2+Q4PVRIIW7o7NWJVXJGBfpbFvZxFP7MmWkWIOlKJnT0TA57BrEC9K9nAhJckk7FoBQ2vdI4yUHpMZ5bD3wtrUym9PfKDsPdP3Kocc2kGukLIXYp/h/bnnnVsoH1LKf/78GmOnpM9uxgsnjTVN9OlfjOkyKeiTpNNrW2NFLbTW1Gyv48ezfsn+M8dy+LkzePjGOSxfUAMombV3cNDRExg0egDbN1Txj+sf71R/DcODKn0GVB9kMOb4HzT9AW1VCy224GrEi8QpoLgnIDOkk8EzSxgYff6MUbEUVbYQVfIXyL/cMb7KIGfRTaBcrRezP6DFq8IY6hirDiRZyCmQ/41BycUzGwqvg7zvShPXgVB0W8pyK2m+zyV/AXNfZ18DQFWA52gxt1P5cqzoMmGWAIReddgJm5KD+HagXEMwiq5BGfkSCe09Coh0yCpoc39mGXjjUgMNNWeim+6javN2/AU+CvsUJAo8FcPL+Xh+H2eWvCa5D+/h4odgdRCx2hJZ+KMk4J0l65QiTpcRfE7WBT9FqZTLaN454hmj+vSYHljHtkDjPfKP74TE48qsAPdEdIZCisgiwuJB0pvIkpGirWr5TqGTkbaJ4otqazO0tiC2jkh0MA07Gxk8dmCbbZX/DBQBTrxIs3l1BkaKMlB550P0Y3TEYQt1ddCRkNbtOp8UeS1WZCXrScB9AKgCdIt+7nBkOnGzWW03CrsqpZCS8LWJfkr50DJiUYuaL9OZLdIvaYO74++gMvsnvJ6ygfJMhdjqtGvF7gxtrQPcnWP39VAEfA67CL1VSHGNE+P1rg40tTB3VXelPQmZUa6QkkPnoe168R8zWxixuyeCys/5pOTwP4dcIWUvRemAvvz27ZsZut9g1ixZj9snA/kNyzcz8sChiXbrl25i/8PGEovEKOyXPoPoK/ARDUeJBCP85PCbOOnSY9lnZAW3n/cHNH6wq9GxdYnlnJ9MYNDIEAuefYIP5z6T9lxHC8qL6vcYcgMeZ12E0Q23A6DyL4S+jwKWFBsiiwEL5Z2NKr4VMNEN16O1LdIC3xEYhVdi9P0HlC+RmemEZAegUVgrLZfYKnlaV4G9USKI9VYg4GzXJP/bW5JLZB40/gbsL8F3CsQ+RSkPRt7ZGHlni79DohDjAnM0WGtl9lZvA70dyziE91810XZI4nVxyaBK+cFah/ZMR+QxWch7WiKeGKE7WcRwoHUwPXrafRC66T5O/cbfOeQYtwxcq2ahI4uoGFbOuy86kdOpP6hxinukc0WOrPxRHCjXMCcauHvyHq0j4vOgCsWjJ/UYRjH4T5MEn+gn3R4caW2jG64jbpysWjA/lPcYiC1HWy0KB55DAbPXZRHargRVJCaF7SG6zPnDTJnpdJhuduvBeQLWViBCdaUMWloazabBPRnMoRx9VjWbV23L3MZ/unxn4uynrjJSzDJw7btrZ22t9aCbszOadaCUS9haLdhROzaLtClhNms5njLGPslGnimIQeBCKobFI5Cr0HYtdvXp6KhzLYwuBaLZFTPBMacOC5usI8QLVnuKzCC2HszBnUrLUt4jkAj41ibnOeyG6KVCikSrH+pIBrtgPtwd36eWffFOl/uK7siMctg7EU/sacE0Vcqd8bcoh90XWofQkcVfdTd2e+QKKXsxikuL+PUbNzJu6r5EwyLvMV0mny34HH9hUs6z8IXFHP+tIwk1hijqmyymhJpCePO9mG4XXr+HX558J+decypNtU3s3G6CbkZXH59Yjj3pLh58dzUPvruayYdcm/Zch0vNhSjXSCi6RQ6uHIZM+CXswLPiWxAfTJrDSbBWvLNR5j6owmvlZjw4p9XrYBiGGLampfqYkPc9KPhx68V/njRxzxDDVhAKfaa2XodBYA4UM9bQC4CJrr8Gu/5GdPOD6MZfA3HdaAzqfghoyDvbmb2FNcvL+L9HAyhlAZZ4EYTmgusQaRtdKQWMTDKPjhAvIEWWdH5bgOZHHAZPqdzEGX1RJX/G6wtyzb3voWu/DXYluvkhKoaXs/x9A01xuk+KaxwY5ejgC527iYx8AO4Ds4809h4GkfczJjhlgo5twq4+GR33PgB080OABb7j5XPXAirvIhLR190dAAYedeK4vyb/t/SV8B0j69Ab6X0wCoS50NsDfWt7x+krgI4uRZKr9k9Se+OFO2td2xvG1gKwea28v216pOB49vhPZ/iY7USD67Asq3Ubo0jkbLEVgK/jAlB78Ex3pC+9LJ+KI2406zqg/XYtoDzTwdqSJmmr2lyN6TLpU+FIFG2n8JTKSDGKRH4VWUh/J3mrckOVsJxiy9FBJ2Us8iGgwHNwdh3SFsJMyoLN497fmcXcQ+jg1obOx567J4IqQYdam5znsBsiUbDoYUYKSFqWvVXMOjuLhO9TNz1SIKWAuYd873LYfRD/nWnJSCH+W7SpR+TVOewCBJ5E15yPttqYmMoBSNMT5LA3Ir84nzv+7wZ+dfqvWfLap1gxi9lnT2XlwrUEG5OJPs/f/woX3nQ2j97yFEWlBTRUy2xiuDlMuDnMIcdPZPuGKv74wwc58XtHM/efW/jWNT1IVY5+ih38P4y8s7CDL0pyj6oQw8+Ga7CtqqQ+XXmRKF8x3QTAfyaEXpG0Gh2DjOk0ISkq6AbAgsDfOuhTSmU9Mr/9SntaKoMzwAvOIVkyMBDflRqwPgOU3GCbgyC2ktWL1/PZh3nYNhgGYJRBdBH4xkH0HQg8I8Wgpruwo+tRrtY/Ym33zflRi63Cjn4uBatsoRvQTX8B3MJsMUog8BgU38qVJ+3Hn15bRX5hM+CH8H+ZfVw1pYUbicXcuEMvY9cEIF6MMPpCZCG6+hS0a2jbxzQKUP7T0eZY8UfJvzTr7irPLHTgUWEsxWNs20PoJYitQgfmoIqukUFz89/lOf+5mY/hGo72zIbIPHT4HZTv6Kz7lwod24Bu+o1I0+KzO2Z5i2MNQ7tGo0Ovo/IvSt+BZxo0/w1tN3XsXdFV2JXZRWZHl0rR0TsTmh8Qpk5svZhCRz9Oxpm3REyMdNd8Ai63mYjSbhP+09CNv+eIU3ewY2M1+4xoXeRReeejg086htRdh/JMRwcelsKCd2q39pUNdHS5sDk6SjlqCe8MaEQKF851YcfmakoH9sU0netgnJFi7tNi22nQ/BDlg6XgVLmxCmJV8lzkHeAXwgpzjZXCS0fnoG3HB8rtfDeObbe9Ui6059A9YkAn0quNSXZdllDKRHuPgPDraB3Mviicw1cCMW5WoIp7fufeqc53dWHiu5o1epCRgmusFPciC1H+U7q/vxz2HsSLgJnkjRl+i3LYfaGjTpJmdFW6f1oOacgVUnLAl+fllhd+wY+mXMO6pZuY9+T7TD/lUAaNGcBHbzheAhoev+NZLr71XP5x/eP0qSihdntdYh+L/u8TLvjlGbz/n4+Y++fXGDt1NqeMXMnPH76cmacnjUAfvnEOz933Cjc+/RNuOfO3TDpqf3755NUYRtuaeR37AmrOgIZfon3HQsn9UDVDiii4gBg0/xZwEoainwA2KA+6/upksUJ5QMfQjbe1/WLozjqKmw4dvj3NvxvsteKNEpdmWJudWXGn/9hAqg+Ahh1Jucop597HKanj9vDLsg78RdbRt2UB2HkcXSAGO9t+vcvbKs/B4D4AHXiYcM1znHTRJimi5H1PaOuxlRQVb2DwqDC2pcAVAWslKJ/sQGthGlmrgebk4y0RqUQHnwFjMGCJIWW28EwhMYjLopCi42kaobnowp9C4HGR7eBDuce3/VrkfxsdmSdMkeJbsu9f/LjaQtdfA7hRxbehm/4kTB/lad3Ye4xTnKhJ08crzzR085+FFeM7qtN9yApWJXjHtNtEay3SHt8xKO80dPP9wmKwNjiFwlVgbQTXsNbbWl+AUc66ZTUMGFWB6WrfW0OZFTQFDuLYc5ayYdXmzIUU93i0KgQdFKmf6iIx03MIIlVagNoFhRSiy8E1vnMR5eDENe+DDs9H5clFpGrzzoQ/CuBIw1xSoE2BfIb+hte1jJLyYio37JAUJYDYGuzYJoh8It5A2cCuASwpqoXfbbuAltaHqejwW2hreytp224FR4amOkihygTlPx0dek6Mo/0n93jXugKto9D8IOSdK6lbOQh0Lajizn8Ps4E5UpiZkfdR2X6n4kgUUrrPSFHKQHumQPj9rL6jOeQQh7Y2gVGKMvJbP2mOaPVblMNujLjnYmw1cORX2pXdGTlpTw4AeLxu7l90V+LmesELH7Lhs03sP3Nsok0sHOOZ37/Ed++8gNrtdZSUJ2dklKH4963PcOxFsxlz6ChWzF9Nv4H7cMcFf+XTeetQRh7KyGPyCdMJNEJjjcV37/wu859fzrfHX8fLf59PNOJKtEtdDM8B4D0edD264f9hmEVQeK1zZIfdofKQZBzlPKYlfji6IrnE1kvRwxiSecFHIj45a1iOF8qmNpaNsuCWwklstVycdNCR7cTERNccAvk/TDJoSL62tiojElbM/dcIPluUh9ZK+ug+SNbKGTx7T3YkTya49oO876EKruxwwRwqccvmKMAP+ZdntV1i+zyHCeGZLFIA12gI/YszL61i27ajMYp+hlH6ArgPwnD14ftHjub1uT+St81/NkbpS7KUvYwqe9OJfjZQfZ9IPpeyqPJ3UUW3gHYYT3U/w268F21VdfhuKSNPBsBZ+KRoa6eYaLr2B7sKHf4vuvkv8hp5Dm3/RtozVc5DV2PHMiTIdITAPyH6EarolzJ4tLe3aeiqfMcAtkjH0vpwMKi8bnvCtAWto2BXdWxSbG0Ws2f3AY5BslcM52IbnOQekga0LRFbC64RbF69rX1/lBS4is6ibECUcH07kbKqAIh0S68t8qkDs5OodBNax+Qa5u6crAdIxjVH3hfWBGI2m/BHAWGkmBWtP9PugwA3OvI+FcPK2L6xSt6T+Gxj4AkghPJMzq4z8TQy9yTxjIoXZdpDIs1kNze/jLMOOyvtAbkmmYPRwad7tk/dQeRDdNM96f5XOYhHSi/IesD5rnqmOt/VTk5pJKQ9PcBIAYljtrclGas55JANrC0ZZT0Q/y2aIcxj3Vp6m8PuA2FYyu+zziLEYm9GrpCSQwIut4s/zL8db74wO2q+rGP5e6vS4o/rqxp4/V9vc+WfL6GhugFvnrTVtgYFf7rqnxxw2HgmHnkAW9dux5vv5cZT72Ld0o0AjJu6L8WlhSycu5ivX3osNz3zUwr75PP7S//KBcN/wJw7n6Oprrl154rvAjwQfAQdXSOzNa59kY+wIdHB4MyougAXqvQVjLJX05fy1zHK38i4qMKfAZYUNOIwygEfqt8LGBWft1pUv6eljfKjSu7DqFidtqiiXwFRKLgciKIKr070RZXPl6KDMlB952AUXgG+0+W4eSeDIQklVTuPw+PVjJh0CE/eX45STsSz7wxZx6ng4RdBN8s5xD6DwN/QwbloVQR5F6EKLs+4gAHug1BF1wBBlHt0m20zbq+bQZWAOdK5EZyJx7WFtct8NFs/SryUyn8mhl7P5CNsNqwMg2tcuk8KoIw+qJJ7wNqMbvhVxptJpfwym2EOkdfPMwGa/4iuOhy77udJOmIbUN7DILYGHZcztIXIPECjim6S82v6o3OzGuzQWFMpBf7z5Z/Aw+0fpwV0bC268Xci1fI5s9NWZdteJK5xYA5Ch9P9cZTyCAMn3DuFFIkQ1pLE0h6iDqvNPcHp02SnkBVx/CGK0NHW/jxaa4h9gTZGsm3tdga1EX3cEnmlX6exzkV5aTuRsjoKeEXm1R14pkF0OdruLJOtk4h9AYQ6ZTSbCuWZIUyq2GfYtk31lp2UDWoRfWy0fn2VkSfvUXgh/YeVsWPTDumL92hpH2dseQ7JriNx80rvbFlnYy7tGtOjKVi9hkT0cSelVziJUv7TZQAd64I/Rm8g+ikAOvh818xP/1fRi4UUcJKq7J3OLHD20HYtqHyJDe8J7CkFzBx2L8Q2tZtapjzThfkd9/zKYfeEtRGZnDazSgPdm5GT9uSQhrJB/bjxyZ9w/Yn/DxCmidvjBpJ+KRtXbOGjN5Zy7aNXcscF9wqBQ4NCodHMufM5pp0ymdOvPJFn//ASpsvk58fcwv0f3kn/oWVM+frBLHh+EVbMYuZpU5hx6qF88tZynrj7BR687jEev+M5vv79YzjtqhMpHSCzK4bhx86/FJrvRdf9AFX6EqroV+iab5Amq7GbHB+BcSijsHMn7z0cGm+V2Wr/2RB8EuwdoArRdT+Efs9KKksKlHsC9HsGXXe5tCm4CvIvS1JhfV+Hhjshtg3MEeimP4L3WLlxVj4o/h165+no2m+jXcNl1hkg+AxxZkx5n3+jbdjvgCe49gFDFDAKaLzBOec44yEfiu8Ao0jYCeHXxMiz8VZ0461oc5QMYDyTExR5rW1hDLgnolUJqFJ000NtzihkRPgD8ByMUkqSOEKvozUsXVjA0ZelDM58J0DjbZx4UQMvP7HD8ct4qJWHh/IcAgU/RDfdKzPp/tNbHVLbTVIsyr8Uo/BK8RMJPALBZ9Gh59Hug6XIkgl2veyj7mfo9vxgwu8BfnTgGWH9xFZLQUXXoaOfoutvav910WLgTGAOdmcMSSMfyA1x0S3Jz5FdKeyHDFBKob1HQ+DRDK/lYSKLiG1Etec70xXEB8UdyC3EaNaXMGZW3pnoxrvkb/dItGdSZkaKXQm6mYa6MmLR5Qwa03b0cSqU8vDxguFMP2Yt2q5rJUsQn45aeT3Db6FjW1CuTsTVph7LO92RKn2QNP7tDcRvOrvASAES5pE69Ba1TYOJRS3Kh6TIeKwv2yyGKO9UdNMfGTz6BNZ/shUIo1z7or0hCD4F5qjsI1dt+cwo93jx9gm/g8r/TrubKGWgvTMgsqB7Uqxeho5tEN8M1cVBtv80aLoXHXwWVXhlj/atK9DRTwAlvw/Rj7I3E/5fh10n5vG9Be9MWYffBffY9tumwt7ZY2wUwJEE9heflJwMI4csoHVEmIbt3T96nYTJyHzwZL6nyWE3QLx44pnuMIgimaXlOeQKKTm0xqEnTOLca05jzp3PoW1Nc0Mzh58znbefSFLY3336fWadOZWbnvkpN5/xa2xLJ2atTJfB+y8upv+wco66YBYLX1xEfVUDV0y/jr8tvYdpJ03mtX++zfL3VjHxiP1RSjHpyAOYdOQBrP14PU/8+gWevmcuz937MkddMIuzf3Yyg8cMRBV8Bx34J1gb0U1/wCj8Gdp3giNpiNMEA5KObBR2bbbZKIXgE5B3vtxIWOtFQmI1i3u1/7zk4FbboANo3ezIP2rRTb+HwL/R5iCR7+hm0SyH5kLRjdBwLYRflaICoNz7QvHtsl10lTPL73YYNj4wSrEjOwmHTPIKYnh9Nkm5siFt4wlFNEP9FW2fm7UWAmsh8GBrH5TQc7IAxKrRO0/r3OsWCWDX3ygDPnsrDXUlHHl6HUX576JDKYUu9wEcesRiViz5CJgFxNDNf0oOEN2TJVo2/zKIfIBuuBncE1EtZ3mjTry1wwxRrmGool+iC66C4NPowJNtR0FrDRjipWN90XYbXQt4IPK6FOggKSeKtiFFaQUTCEHoZcg2ElV7UMV3osxSpysRsGvaZX4o3zHy3QjPA/+JySe8h4m5W/hd6OlCSlym0ZG0J7oU3OMl/hDAMxOQQgrmMJT7IHR4Xuuih2M0u22jFIaylfYAbFo/lVnuNRCcC/kXpj+p6xBvnRkSUR183GGjdQHuAx351AJHYtU70NFlUuA1u/YeKrOfGJoG/knNVplpjss4tY5JgaMtMznPNOA+xh1UyxeLnO+Ba1+RJgbndOpzJXGqhlxnPYdB4F9ouzmznj61/96Z6NB/pJjpHpf18XYprHXgGtZlPwllDkB7ZkDwOXTBj77SgpHWGiKfgu94CM9DB58TD6wchJHSRWZYNlBmBdo1Fh2ehyr4Xif6VdOjhRSlFNozTd7/3biAmcNuBGsroFGuwW02UUZftGs8OvwequAHu65vOXQKOroaMFC+E0QeHlvXucLuXoRcISWHjLj4lnP4bMEqVi78nFjEYuHcJXztkqN5+a/JmNXbz/09P3nwB9z64jVcf+IdicetmE3poL6UDe7Hm4+KoaA3z0PNl3VcPOYK7l90J26Pi4UvLmbiEek3JKMmDef6x67i27edx1O/ncurD73Jqw+9xYTZ45l4xP4cedoZVJQ+JGkknlmogp+hQ/8FczRYKfSz8H/R4RaeEVmjGloZ0toQWwONt2QwYzXEm0Tlg+onxRAdFB8AYwSE3gJCEHgSzCEOK+W4xI2J8p+M8p+M1hF05WTwnQKhZ4AQ2n8ld37/Ba69fzUY+7B5/Wi2rPqYacc2SUGl7yNQ802hGtvbwHd2Gzd5UYk3Dr+LjKxd0m9sxOw2fpNkd+0l0zvToqWL+zhGxA1Xt3q9XG747rVLodmRfDT/PdnGGAil/5GBVfFv0NUno+uuhH5Pp1GWdeRDwA2eiWn7VkYh5H8Llf+tdrtr198AoZdRZe8kB/ippxNegK69GFXyB/BMRFcdBdoF2OCZhNH3nx2+JAB286PQeDN4pmD0+WOH7bW1A119nHx+4rB2yLq9goX7IDD6ocOvo1IKKco1FG0ORkfeReVfkFWfs0YWjBSto5KslHde8kHXaMAPRJ0BtTNAi3wMviOS7ZxCyhfL5WeqM4UUf8lE1ix7mhEHPIm7ZSHFEi8B5RqB9h4FgafQBVd0iRKvlAftOQTCveyTElsG7v27NZhRhdehq79GoecBIFlIwa4CLFTLxJ443BNA+Rk8YjNDRztFW9co8aAC6Iw9tV0pRoTKBd5Z6MCDTrx3B2bInhmyjszffQspsfXJ2NguQvlPR9dfLXIK74we6lgXYG0GXStmw3gl8a7oBmFR7sXQWve6tAcQ5mjz39F2Y/bMWntnjydrKO9UdOj53buAmcPug7ifTkeMZu8MaP5H7yYK5tA9xD6XiRv3hOT/uUJKRuRKzDlkhOkyue6xqygoyae4tJBwIMxbj7/H6MkjMd1JhsFvv/Mnlr2zknOvOTVt++otNeQX5/Poxge45NffTAyCGmuauHj0FZQNKWXBi4va1F7vM6I/V9z/Xf694QG+ccMZNNY28fBNT3DJlEXU73QRCZs0bf4hq5dUov3fkiKKKpBChlEGpQtQZQs7vVB8v3Sg6A75v+9ToIoQZoEbUFB0j7Qvfx/Vfymq/0qM/kswyt/B6L8QVeIk6cRWofIuhrK3ZB+xT8SIK7YGHXyi9UlHVwAhlG9WwnR268aBvPOCly/WngP2lwwZOo/pxzWglA1YUHMWEJQiCkDoSWi8McNyq5P0E4+kjgERZw1SQOliEaUnYW9F135HfmDN/qjiOyG2Gt14Z3q7yAfgPrDLUaHKexjoJifhqTV0+G3AC95p6OYHhSHkPwkIti0ZynSceLxr+E20XdN+YxDmkm6Wm9c44syP9hgpygTvUc7sYQsZkfcwYffoSNb9zgba2g54RO7UFmJrgLBI4BJ9VWAUIgNw22EjuVr5pOjYWlDFfPFpPUX9Cinql71Ub8jYAbw2py8mq9FxuVwcdrWsjVJU3jeEoRJ6Oet9t4TyTAdrfceeO12E1hFhq3VzFly5hkL+9ygvX8D+U5qSZrOWIw1sQ66glAfck+nbdxVDx4QIhfqhjAJUzJEbxTZm34lUrx/PwaDyW/kkZeyD2R9co7Nq+1VA281gV6K6YjSbCt8x4hkUfCt9fdcAACAASURBVKZnOtZVxK+L7oko/2nCxGtpZr03QgeACKqXCynKOxuwOmeG3cOMFEBo/bBHxI/nsBsg7u9kts1IAcezixhEFvV+n3LoGmKfy72uazjgRnfSs2lvQo6RkkObKB3Ql2sfvZJrjruNIWMHsmnVVrat3Y7X78FyW4QDMjCbc9fzzDztUEoH9aV6a01igvL9uYtprmvm7v/exFk/OYlNq7Zy98V/ZPWHa9m2VgaHPz/6ZmafPYMJs8czeMyAVrToPuXFXHTzOVx08zk07Gxk6TsrWPHJP5h21FuYZj1bllzGjaeM4q9v+Snq04RtR7BcJ+J1ldIl+A5HNxRC+A1JsQB0/uXQdDciHzKg4QZ00U0oszyxWVo5SHkkVajpD+ia88V7xRwgMa+qv8Q2N9yE3fQQuEdBfCbcmYHXwRfBSaDx2b/nmj/VMGRkKbgPBR1m7cdfMHJ/h5GiysUTxYqnXyjwHA3emSij7dnDuM+KDr0G4Teh6PZEYoeOLpekBv/F0j8dkYUoEAY7ihRhImA1y2OReUAeFFwCmLzx0F+YeWI9Pr8zqFdFDnPBJBLYjsdTSzgyCK8vJoUCcyQot8zqRj9C7zgEbQ4B1xCZ3Qg8ih1d7pj/xiRO1xyBXXt5l97meAFJ19+Ado1q/XT4PZGH1f1UWDy+k6QyH5yT8FjJBsosQ5vDJOo38AQUXNZuex10Cijh+cnZmjjzowMJjfIdgw4+KeyIFGaH8hyGDjwmjCRv92bM02BXOkkv7UgZUoxm06CjgAXRZSjPRLR7vPQvFbEvwDWSzZ9/yaBOsFEABo8dyF3PlXDZLZUYwWfTo6rj6RZmP/ncmcPRgcdkwNgVxFkI4YWQ19rPp9uIrQGiKFf35QSq4Ps0bHuUH925jYIS57oTLwC1xUhBEjzckXcZsZ+X2uph5A1zWGGqD1hfZB9NbFeCEw8sbJ6pEHknu4hVz0wIPILWwS4XUHsNllNM6oLRbCqU8qL9JwlLyq5v5cm1q6Cjn4DKc3yNlESWhp5PY7vtlbBrZd1VH5xsETfhDs9D+Y7vsHmSKdOzhRRlVqDN4eKT0gHLM4cctLUJkaSXtd/QczDgQ0feQ6WyUHPYLaDtAFibhC2v3GjXiJzhbDvIFVJyaBcHHT2Bb9xwBv++9WnGTR3Nyvc/J6/InyiixPHecx9SMbwcNLh9LqKhGMpQLHt3JReN/CEPfHQ3Q8YO5I/v38H9V/6D5+97BYBl767kk7ckZaVP/2IOmDWeCbPGM2H2eIaOH4RhJElTRf0KmXnaFLR9ALrqCHDlc+TpW4hSwaN/sDjzkmWUDYhw27c+Yv3nP2T05JHse9AIZz2c/OL2dfiAXDS8R0DoxXakQQFo+EXWhPZY0zu4vPFBSkCMS3UN2BsgvNExKCxyKPYuiK6VhA2gsGgTYye58bq/wIpYmKZBSblBNKLweJF2tl+2i8c+R16X6MqC74nXi26G6EqIrXRioFeCtR3tmSLbG/1R/hRGkfc4maG3N6P8P2/33HTtd534Vx+q9F8o1ygCjUF+fcWLmAWnccTxfwFzDFirwfaA0Q9lFqJ1LYo6UM4Prm4kEQNtrQNs8aexNsjrg8cpngxDnMRBCjndiWb0C0MIE1JjX3UYMVculP27x6AKrhQzW5TD7uiEZtzxptCBf0P+d9o07NLRlUKh9p0IoZcg/A74v5Yw6OzI1BXPNFAFIu9JvTnxTEEibN+TSMuegtV2JHMcOrrUSXRKzlBpHXJ8SpD0Hs9EkSYFHks3NIutBd/RbFm9jSlfO6hTXes/rIxQ0M+GtaMZMfZFdOHPk/tNxIT2k8F73jfQjbeho8u7lorjGi2yqsgCVG8UUqLLZN0DvgxK+XnlySmc/b3XUMHHIP9iSewBiYZvC06xaNCICJ9+WMiAgy2ILJYZ6/CrUmzMO6vjDliVzufR6Y/3aLnONj8AHejllXcmOvAPmcX0zur4WLsSsXWyNrvJSAGU/wzx9wq9JNfvrwKRT5yULae47j9ZpCZWlXhY7a3QTiGltxkpyiUGy+Esi4y6EYhmb/rcGXimQegFtI5mlMG26oqOiXQvh70P1mZwDe7w85qUxO7mSWx7K6y1gE6yr12j5fc+h4zIXe1y6BAX3Hgmy+eLX8r+M8ex/L2VuL3y0YmGYximgW3Z7NhYhWEalJQVU1/VQCQUBWDH5mrOH3opv3v3NvadNJwf/P5bNDcEeP3heVgxm8FjBnD8t49k3bKNLJ23gneekri9on6FHDBrHBNmjWf/mWMZMWEoLrdLIjnzv4PZ9BswR3PcGfNQ359LeOdDaOvf7HfEt1H+rax8f02aQe7Affdh34NHsO+k4YycOIxRk4ZTXFrU6nxV0c3png4OdOAJSJVceGZIKk8b2L6ukk/feJjjzq1F512CCr8sM/R9/gQNP5NZeXMERBckB5YgBRYHXl+MfYbGwN6AqQAbStPGrmHQmaj19dD0G1naQiRJk9eV41s/H/5v5sczweiT0MVWbhQ2jeE7FIwXkmwZow9G6VwIhlkwZwYHH26jSv+Drj4RXEMx+vxN+hL+AF17IfhOBWVA8EUcB2Fh73gOh8AjktzUjZlpHZ6Prv0+KFB9/p4wc9XND6Ib70L1exKVojnXkcWOAfE6ZzA3pa1dp0F5Z6ADD0mhLPQy+E9t1UZrGx14CnCB/1xhpIReRfm/Jgadyi/mnu0dR3nQ3sMh9F90UfJmVhkFaM9BUpjpqqlqJtiVMnPaHqLLnAFZyo1VbCOgwRzsGM79COU5WMxyo5+BZ5LIoHQt0ehgais/zzqxJw7TNBk0eh/eeyXMiDErIPzfhMGztncCLqdAh5OWcg868Ciq+I62d9oGlDLElDGyMLtBTyeho8ulrx3QpbPF/JcKOHDKAMYceC/4ThRJkipp3/DVNRYowOVuYsMqL5Njq2Xw5j1KDHvD76I6KKRoOwC6EZVafPOfJpG/Tb8HlYfKv7jtHXgmAx75zOxuhRRrPaCEQddduPYD1xh04GnUV1BI0Tok7MmUNCXlPxXd/BeRHuZ/e5f3abeBvWsKKSDyHh16RSY+3B38DqcUh3u+H1PRwcfESN4zqd22OvQquv46KH0NZfZ8X3LYzWFtzjrxUXlnoBvvRFtftu3PlcNXg6jDPnEsBpRrNDo0F203oIzWY6a9HblCSg4dwjRNrnv0Si6d9DPqquoZP30MKxY4ejkFtmUzYFQFX66rRGlN1eadnPCdI3n9kXnEIpKmEw5EuPyQX3DNIz/iyPMO4+q/Xspn81ezbe12vly/g+fve4XbX7qWXzz8I7Zv2MHSeStY+s4Kls5bwfznPgTA43Mz6qARjDt0FOOmjWTGzGIMo1h8Nep/gceoBddkzvppsghSX93A50vWsWbJOj5f8gUrFqzm7TnJKnjpwL6MmjSckQcOY+Sk4YyaOIyK4eWZEwrck9CEISRsGiLz29UwV5RChZMaqJpuSD5RmxIlGPe/yBJrl/n5+L3+lJTWc8xZzk2d7zQx7Qz8naTISMnAW0eQVJ98mVly75cY6GmtofkvzgA9ljLbNkCkSNHFMoBv6zKhm+V4Kh/sL9E7pv5/9s47TIoq/f6fW517egKTyEEko+iKiImgguKiYs5pjWuOu4prXrMrJlxc15zDqhhXMCEoqCCiIDnODGFy6txd9f7+uNU9M8wMzAgo399ynmee7q6urqqu6a6+97znPQdR2XTKjPHCd7XkdZ5oDzxNIFN7wySW4fH155tPenDQkYsg9qX28Ai/hUgMpTwoz3DEfzqEX0PlvgqBq5DQsxB+VQ8qkysAL1J1YXtsLluGQ0sWpXwM4hygiZrEEsCH1PzV3r6hz0NyERi9AAdSewOyuULA0R3l2V8nDzWelLqH6XOoAkj9w0h0mvZnser0ZNSqA6lrWL/aNkeN/RerdC4QBwGpu037SxiF+lZlof/Phr7F0APu6IdI5L1G0YIKnIMg/BxWbC7Kse1VSxHRihS3B0m2nHwkVkTLQX37NllHUv32jkEQn44V/0l7GwES/VS3qiWWAFC6QZMd7TGaTaH7gK7MmLqas6/thASfAkdP3eJjVYCR22D2bGQi3mN0Wop7OLiHt3tgp9wH2qkyK8HVt93HukUkFtlGs9uHoCkrqmT254fTf8grSP0DWpW2lferlENHhSd/Ysk8K93brjzDkcRIiH6y9Up0WlnVQKQoZUD2vYhEkfp7QGW0Ssgo5dVVzPjX7XvDvwEkuQYcXbeLGatSCnwnIvV3I4llKFf/7XCE7UBiMZBENYpbV87dEdcQJDIVtYtIAWMLvlDbC26bLIx91QYixfbf2iGKlOFoJeacrRMp8W/1b1rsU9gVmbxFiMTs8c8R2518/z2gxwTFDb46W0PKQDz2DfhP3HEHtgvthiSXA96G4k1KmZJcbhc0dqExdhEpu9AmdOiYw02vXs1fx9xB33164/a6WPDFovS8fcPKTYw9ZxRz3ptHsCbEf5/5gpOuP5q3H/4Iy7TwZ/kI10W494zHWDxnOZc9eh4TX7mSK/a/iWQ8SeWmai7f/yZuf/t6ho37A51368gR5+r2hLKichbPWc7S71awdO5KPnhyOm8/kuDky32cf9NcZny0F6PHfwdAZf35GLFqcgqycDgdZOdnMeyIvRl2REPlvK6ynpUL1rJqwVpWLVjDqgVr+f7j+ViWfjP+LB9Dxw7hgvvOpMvuDe0UetB/P5JcD8lfaIhc/u3QZ88IS+abPHFTVw47vgbDATgKMTKvwzJXam8PMqFwOoaRpX/cYl8iwYch/hlY6yHzGnCPQhFFQo+iMi5BBS7R5p7RaXqin7BlfBLdwtEIoGxCBU0OSAi3Gwq7CMpRTgOxo01uJfw6Kvs2Sjf0p656FVme/6B8p+m2mfi8dFKFTmP6Cqm9CZX/HkbW35DAJUjlObpNiCAkvt+OZzYGyZ+aLmqyfbv1R6Jp4oik3yYxACx9nsPPAE7ENQTc+6Pc++vBp3tfSBbp9c0STV45OoPqZ3vc1EDsA/Cdriense8h8gq4+mtVh1L6f5Miu7aGuoktk0zVZ2w7+dQYkf8gkf9sZZ1XkEgLUeTxafq2qtHEOfw0En46/XDtUj0xba9HCmjy5eu3v8X0Xokj8nek8ljENVT/DzefcPiO1/L1Wt3KJo4e4N4PlSZWttJW5UmZMs7erkSKSEwPXhqpA7YF8ViCqk01uP199TZDT4KjW7rytEXYVfhNa2u0P4qjmyacPCORyFuQ+NEmDVtBK14/Sjkh5yGkOozU3QzKh/K1rPRTnoOR+vvb7snyWyG5dru09aThOxrqH0Aib6NcN22/7bYFaaPZvZosVt5jkfo7kcQS1P9qgstvqUhx5CPOPewY5C17a+1QRYrRAXEO1D4pbCWu1ibAJfoJaheRsmVEP0Zqb0B1eO73TejaXrDTKlVblZPOfmAUIPFvULuIFMSsBCOz1dbv7b6/xFJQnpYN0pPLwNkn3dpJiszfRaS0iF1Eyi60GXuNHszZt5/C87e+zpm3nEg0FGPpdyvSz3/24kyue/YSXrztTcqKKnjrHx9w7BXjmPr4J0SCUfYcOZCFM5fw3uRPWDhrCY/M+juTv72Xhy6YwpqFRcSTcW764z384bA9Oe/u0+g/rA9KKQp7FFDYo4DRp+gfm2QiyZqFRaz4YSGR8C3k5m3g64+zOfiPtUw8Zhbrls1DKUV2fiY5HbPp0DGHDunbHNxeF4bDwJvhYchIHatsmhZVG6spK66gbF053300nznvz2PUyQcy5qyR+DN9uDwunG4nHs9tFAQuRRECoyvKUM0qCrXldZSvr6Rbvy7UlteQ37EKw+nXbUlWhTa5lKgmNowuuoojEUx6I4lVxKJCaZGXzNwkBZ3j2hvECoJUcPQ5xQw5oIJgnUEgS1Dh17GSa+yqVAKoQsU+B99x+ri8h+o4xehHSPBRpPoicO6hzQSx5biN02scnXXFzSy3t7cZROyUIIeeFCkFYmlyAUVdTYBQbYQuvQy0GsZlb0cg8ipWsohL7igmHISs2AytXEAhdbc2NX515EPiJ6RifMNyZSs9AtejtmMUmyTXQ3CSTRzFIDAR5dpdP2lVIfWP6v+VlGnj1MQCyLgAo5EnhkgE4vN1VS7+LYSeREL/BNza38TaAFkP6c+ARO2/CBCz45w9+jzEZqMvzS67990A5wBUxsWI8mgPF4nYaiPQaUvS8Bd+EZKbNGGWpk0E6h8CZy/wbYdBi7VJq5l8J4OzlUlVfLauTAaub/i/AUTf06bCWTdD7c06GcR/ivaFSC6FrL+jAIwCVv28GsNh0Ll3Ycv72AJ6DOiKZQnri4fTc+BMiLyt92EWA24kOAX8p2hfgehUfU59Z6Oc3ZD4dxCdniaJmhArRie0WXECxNT3JQkqX6etKC9aqeVGpxp57Pv2rfI0LGfLlUhJLNHbNzohqUSEbUD1hgo6do/Roz/aQDn8tk7tcQ7d+vZtwnSfEdVYsQ0YPjuy2H0g4ERiM1FbIlK24PWjlBs6TEaqLtBklvKjvIc234b7YOB+u4p5wlbf728BXYldA+72+fhsCcrIRTyHQuQ9JPP632xwDSCJn2ySbDMvFN94qL9Xq1L+R4kUsarRCsXfSN7uGQWhKYhVg9pMBSPRaeDspydCO1KRAuDe3zZ6jraquhKx9AQMl/YRs6p3eLrRzgpJLAKJtaxsTq0T/1HfRj9GbSORIsmVkFiC8h29TdvZJpj270cb2xuVUoj7QNsHqB2ec/8fQkSQyqPBezQqa+Jvs8+aq0F5UflTmz+ZXK5DMlIwOoPKRBLLtzJi+d+Eai1+9v8n7LvvvjJv3i6jnO0By7J44JzJfP7KLIaMHsz65Ruo3KCrNG6vC4/fw6SZd3L1QTcTqg0DUNA9j/LiSpShOGDCMOZM1bHH3gwPD35xGwOG9WXq5P/yxFXPYhjabwV0FXrMmSMZc+ZIOvZs2eBOglOQ4MNE3f+mbF0JxWv6UL2phurSGqpLa6kpq6Fqk32/tJZoONbidtqLXgMiXHFfCRmZ+liVAmUYGIZCGYpkQqtVvH4PIoLHGyK3MEk8no/LZbcWOPIaRYeaJBJuSouhW+8I4WAGlZvAm+GioHOtHrgZBba5qp5Ah4MGvgy9f0vtBhgoa5VO8zG6YRR+1uzHSSRuqwjeBbMarCJdSbVJlTbBqtCTIqMXNG5hsUJgrSVU76Wu2qBzj7CdsuOwSRYbKoPK0kzqq6rpNSCm15EQlpkgYfbE42s0aTA36JajxsfoyEflTEal0o62EyRZhFQeAxKGDi9hNPJAsSpP1sSFZxRE/mMbA7sg4zyU7yRUC4MHseohPg+Jz4HYDG2cu0UYmnBIkyX1W1n//zDcB2LkPq9TlxKLUAUzIPIGUncrKn86ytkLgDtPfojVP63j+WWPtXsXK+av5tJ9b+DWt65jxAn7AyBiImUHa2VQ6n/oGa2TqzDBsRsq/xM9yBNTTwzi32tiJT63aQvW/zhU9n0onyYSrcozQEIYLQ3KbEjwKST4D1Thj636sYgVRKrPhcRSVId/NZtgiAhSfjC4h2HkPLLd3su2QMxSpHwEKvNWVMaZ22+7sRlI9UX6WpeKUf8NYJWNAvc+GDkPN3+u+jJI/IgqmJlu45LIh1pF5D3sNzvG7QWr+gqUa9DWFR+p9Wtvg9g0jMLfJg5Y4guQqpNR2ZOaqLREIkjpPuAZjdFhSnocpDou2iGkm8S+QqovRHV4rtVJvySLkIox4DsNIq+hsu5F7SRk528Nq/JUMEvs70nLBIFVNg6s1UAmquPcbSISrJq/QvR9VME3v5s3jUSmIrV/1b+fbUwvk8h7SO1fUHnvolyDt/kYrKrzwbUHRuY127yt3xJibkDKR+vgh4KvtumzIFYNUnM1KutmVEuJlIBYtUiZLnqo/GlNVCliViLlB6AyJ4L3jxD9EPznIVWnAQoj77VffWw7K5RSP4jIr5ba7FKk7EK7YBgGN7x4BXuNHsw/r3oOp9uJw2lgJi3i0QSmafHguU/w4Be3c/epD7N+xUbKiyvThrSz321ol4iGYlwx/Ca69evMrW9fz/3TbuHOkx4iFomTjCcJ1YR4/pbXef6W1+k7tDdDRgxkjxED2ePgAeQU2EaR/rMg9Cxe9Sq9/vAvem25hZdIMEIilsQ0LazN/hovSyaSmAmTxd8u5z8PfUBZUQX9h+3O2LNHkdkhQDyWZN2GBLFwjGgoRjQUJRaOEw1FKV1Xzo9fLKJ7/y5kZPup2FBNfWUZL36/hJULo1hmJr0H1XP9SXtz2ImFnHW19lmZcnMu2R17cs61s4l7H+aCkU9wycPncuw5MyE2HZX/NpjlSMVxJJMJPL4oKSHMQ1dlU1W1B/scUMfJl5aDlCDRz1G+sU3ev1Ju8J+O8p+OhF5A6u9G5b3WZrd/sWqQ8jHgHomR+3Sz5626u8jgRYJ1WWAUogo+BUno1xDXJIWEKC8fx1VjV/JBicLtqMZ0n4Uj+hB3nrsb906f3Gh/QW1GqxyovNe3O3nSBI6upLxMqL4A6fA4yjNam2QmFkHGeRiZ1yCBK+xY5I8h9G8k9C/EvT8qcDnKvV96c8rIBO8hKO8hiNyIlO4H7r1QmdfYqgUvKJ+OoK6/DZX7KqpRVduKfAi11+oHGZfoiYoVTLdQ6XSh5hAJQ/394B6B8o5pWJ74WZNA/otQzm7bdKokPg+i72tlUCvmY1I/SVe2/Sc3f9JOblGeEUjsUzBX6eQegPh8rZwBSpZt+FX+KADd+mnfj6Kl6xstNfS5852B8p+gk5TCbwCmVleZa5Cq05CW3pPrD/rck9TbQTX9s6q1sbJzsG7XwtJKLVJ/0sKyrcAsBeKQeQvbo43+l9nL+Oipz7jg3tPJ7dwBSW6E0KOACzJv0HHbLUDEhLpbSZo5xMLVFJVcxKDRDRM75RmJBB/aYqqLWKWgAls0tVVGADo8jVSdhdRcCh2ebVLV1VXMgyA2AxGzQXr8eyK5Rt+2JJHeFrgPBqNQt/f8RkSKmKVgbUS1YiKtfMfq72v8a/CM1sRW/b2AAzyH7DRVZRGB5GJwDmrVf0IkArFPkcR8yLi4bcduVbPDo48bw7UnqBzd3tO43S2xBDB1Nd+q1wbaKrDjlEuufQGnbu9pTT2R1G09ync8Ep+FxD75nyRS9GdvlfaeSixs5FW2GawS+079ltdrC5Ir0O3Fn0NLv7e/ASRZBCjdKtpWpPxUYt/ANhIplhXVAQrx75DA1f+3fGdSHnJW6bZ/FmJfQ3w2EnoZlX17y+skFjXcj/63aWJe0va/dPaDyJtI8HGU+yDd/hv9cIcY6v9fxy4iZRfaDaUUR55/GIMPGsA9pz/CqgVr08+ZCZPl81bx7mMf8eySR3jo/ClMf2EGhsOgx4CurFtcjOFwMO78Q/n67W+prainZPlGLtrzOgp75PPnSefw2r3vsmlNGdWltQw+qD97jx7Mwq+X8v6U6bz9yEcA9BjYlT0P1sTK8NEnkyH/blN8qS/gw9fyXKFF9B/Wh6P/fDjvPvoxL935Fk/95SVOvfE4TvnrBNzelgct9539GP4sH0/Mux9fhpbB3n7ig3zwQpCzrl3LsqUTyO/8Hkf9yc+caXmMPtpP993D7HfMhew/ZjlEF/DTLK0UGzJyEMpfiETfhegnKN9x0OEhHNUXUVtpkJ2rJ2N99yznyVsX0qHwGEJ1L5GRFUfq7kO8Y5pd9DatLePpG1/mr5PrcKqMdg0MJfgkSD2qlfQXlXkdVeteo2PXOsi4RqfqKB9k3ZT2nwAH/Qe9w94H78amTePp0eVxli+qZuBAyCtYTOm68rQCSRkByL4LqT4fCU5GZV7X5mNtNxILtOIg624dxVt9KWT/A4xsIJkmSZRyQua1SOxj8F+AMvxI+A2k6hzIuqWVpI0kOPJ0sotxL4ajoVVFYp9op3tXUxZQeUYjOPW+XYNQriFtehsKsGIzwFzftE/dOlxPygzfNvevi1kKGKiM81o0GBWzAupuRfku3vK+3Afr29g3mhRVWUjiBxTHY5omJcs3MnTsrxtU+AI+CrrnUbysEZEiISCKcuTpao33OCT8KrhH6P+9Va4nxo6tpQS15I9knwernK217Ggipg0TN0dXlHfsdotV/vm7d/jsrflc9dyZKJ8Hol/azV8WJH5B5dzf8guTKxFMcI8gwzGVohV+Bh/S6PrnGQHBh+wY5FaO1Szdalw2oFsYOjyHVJ2BVF8IuS81qVYqzwgkOlVPlF17tvm97zCYKSKlbVXYtkIpJ+I71o4dLkM52t/e1m4kbJ+o1tK4PKP0xD4yFeUZrZWGVrn92vk7T/98/Buk+jxUzhRoTSmTWAZY+vgTP2zZ3ycFqf5N/FFSUMqBeEY2b39IT4QSevJsVe0Qf5T0cRgZiGtv/f3OvL7FdSSxFG143h88h+tWIKteFxT+l2BVaBIFkNhnqBYmxSIRUspiAIl+1OJ6bYFWTq609/dpy4WL3wJmMRid2kXmKUcB4uyPxL9GcdG27T+WSqGMI/FZO1Wym0h8y+fF/v+Bof+H20CkSCqmOPoxknVTy/tN/Kxvnf11a1kTIqUhsUfCL9rr/4Jy9UMi9bqte1fKUhP8nyRSlFLHAuOBLOAZEZn+Ox/S/yR6DOjKY3Pu4dmJr6QJDgBlKD594Su67t6J65+9FBRMf34GG9eUklOYTX1VkGnPfsHfXr+GBV8s4r0nPgGgrKiCh86fQlZegK59O1O8dD2L5ywnVBth4stX0rlPR1b9uJZFs5bw86wlfPnGN3z078/wZ5q8PNdJ2bIrKSoaT5fdO9J5905k5mwhzrMdcAAnXlHA2NPO5MMnp7Pg02coWfQOEy4fx8Dh/ZqsG64LU1MynXNu/gNe549p0cCxF3XgzQfANP3032MVmFmc+Of1nHT91UiyD8TnccDxp+o+Sdc+/PTVe4z0iQAAIABJREFUCvxZPnYb0kO30Dh66jhM33Eoz2iMwJXk8Bhm0sBwWPxhRBUZ2T344rV5ZGXtwSW3zUdJMW/efQ1Fq/vicjnTHi8r5q/mpxm/cNqlITp2z6NsYRH5XXPJzA1skWmWZAmEXwLf8a0mScTCSZJJQQRU8peGJ7wTdIxxfDZgYkkBNz25joUL8+jRNUCo/HMqc91c+1AJIge3HGYU+hdW6Kk2/tecqMwbURlntXF9kNiX+nXeceAdh1RfjNReoyfZKMToppNqQHtdOPeE2CdIh5fAcwTU34HU3Y7Ef4bA5Q3S92QR1N/RMOGqPB4r93U9UTLLtJ+K/1ywSu1JrROMPB1b7BwAyUWI6tiu3lTlGYPU34UkV6Gc2utFGbmIc7COqg1c1o6ttQBrExj5rae0JBbq262QP8rZDXHshsRmYWScowfr8fmAvh4kYolfrUgB6DGwG0VLGhEpjUwZdTX9QX2ucx5FGQGs2omasMx9WXvZtBNWxfGgvBh5r/7qY96RKC+uICsvE6/fVnalWu58p0HkZSR+cst9/fZAz5k5Dmqm4vMsaPq8c6BWT8S/ap30sUqbJPZsCcqRD7nPI5WnI1V/grxXG2TK6Srm1zsFkSLJNZosbgNJ1F4o3wlI6CmIvAeBC7f79jeHJH4CXNCKB4pSbsR3FITfRKw6iDd8DiT6IWonIVIkppOdtJqnFSIludi+49BR820hUqxqcPTcPgfZRugY5PebVKol8bPdNutEoh9rdeKO8kdJHYf3UKT+AcTcgHK0cE1OLtWtkcoL3iOQ8LO6ZdI3YYce106HlLpAZUD0M2ih+COJzZLuIh8hmRN/XaXfLAbsFunYbMQKtqos3KEwi39d/LtnFISeQayqNiujW0T8q4b7oWdhJyFSJDZH+xLmv9+ysSu2x43qAK4BEP20VbKyTUjMBZUDUqMTv7xjm60iiZ/1d9V3kj1OXJn+fZXkcn0tMfLShK0kF6K84/WLk8t2ESmbYachUpRSzwJHAWUiskej5eOAR9Hz2adF5D4RmQpMVUp1AP4B7CJSfie4PS7+POlc/nDYntx89H0A+LO8xMIJnr/1DWa8OZtb37oOsYRPX/wKwzBAKVweJ3edMolb37qececfymOX/Jsl360ABXWVQeoqgzicDsykSdGSYi7e+3pcHhfdB3Sh1+DuDD6wP0eedygOl4NNa8qYO/NVRh81l936/0sfmEBbA07aiiwHnH6Z/tP4odk+fMA9rwIsR6rfSC8fMgSGvGw/SNrVpMSPSPU56XWk+kJIrkAFjmLhrMUMPmgADoctXfedgAQnIcF/g/IiKovyTXnkFeqJYc9+EV74sReLv6+jaGkxpcVuOnaPc+TJ03n7qZW6dSlpYoYseu6WJD/PQEkZP87wcOf5+qLt9rrI65JLftdc8rrmkt8llz1HDmTYuL1xuV1I8BHAQAWuavUchUqfpqBzktJNw+jY6T+I93CUZ7QeIGTdgVT8EYhhGE4cDmHQoCepD49gj2GfMO/bs6me9g3+TB+HnbnZj6DEdPyx8oH/JNIpOq0h/j1Sfx+4h7XdlDY2A9z7NlTQcp9Bqi+H+Ez9uHJcy4k3FaOaPo6+A9F3Wk/Hscqg4tCmz4efQ8LPNTx2H6jNWJ297c9LsG3vIQXvWKi/S/8oB3ZvWO4ZCaF/IVZdqy05bYJZ2qJpaAqS+BltkttUrmuaJu8/MQ1fwMsRfzpEfy48BzfEX7uHIsGZiFVDybINwK9L7Emhe/8ufPLsFw1y1DSRkq8HXonvtbeFPfBUvhO0YWzsE53k0154DoTQs4gV2mILy++FsuIKCnvkpx+LuR7d1nMtxD5H6u6AvHeaEWS62gxIjGCtiz33+R6r/jGUs7uOSHR01+qi2OetxyCbpTqCvY1Qjs6aTKk6A6k6F/ynk1b6GAVI+M32vfn2wjMG1ZYEJnMNOHrtkLYW5dwNce2jTY8zLtjxkur4AnAN2mL1VPmO1S1x0f/aseYerUiKfoJk3rzlCOzfCnGd4kfsq1YnaJL4RU843EPtY79p6/9Dq7p1tc6OgudgdPzwzAbJf2KRJhEdPXVxw9lLqxp36HEcBvUPQPRzaKlAkVjSYLjs2guMjpqg+l8jUkybJPGfrlt/k6ube4bY8fFpSLl+3WaeFiKCVJ2G8o5vvShkt2KojPN1m11sBrSSerZDYRZrUqSdUN6jNFkc/cS+xv9KpFQWeCH+wza3oIgVBJWxzddcic8CYkjkA1TmlS2vlFwFzt1RnrE6Ga1RAax9x1xtzyGuRMKvIJH3UJsRKSKiz5X7QPCOg/q7kchHqEx7XJ9cptt6rNJGasNFELB9ZxKbGdHuws5DpADPA5OBF1MLlG6AfgIYC5QAc5VS74tIqpRws/38LvzOGD5+KHdM/Su3HfsAoZoI3fp3QSnF2kXFnDfoavY/aigjTzqAmW/NwZ/pJVwfpUOnHO486SHumPpXHvnmLj598Sv+/deXqK2oBwVmUsvnLVNweV3sd+QfSMQS/PLNMr549ev0vt1eFz0HdaZkzfFk52egDEU8GidYHaK8pIrSdWWYSd0C43I76dS7I116F9J590507l1Il907kZHdvklPMpHks5dm8tnLM8kpyOL0m05gtyE9uP+sx/BnZ3DlExc0e80Lt71OybI1TPznWpSjG5hLwXcKyneMvvAH/wlAPDiPYFUlY89q9KPkO06nwAQfTC8q2Gwem+l9jeEjYXgjDiKQleSc65e3+B4sC7I7j+bmN06ncn0VFesrqdhQRcX6KpbPXcns9VX8Z9IHZOVlcsKVu3Pqhe+D/+JWY0fFqiXT/SLzZgTI6H4jHZ0Tkdqbkby3UckVOg448xqk/j4UG3n/ub6cduUKitcsocfuwr6HdeGVh07n7Zs/5IDTLiCwmaJI3MOQmosBE+U7qcVjSK/rORSqz0dqrkZyntiq3FTMTXbM7CVN00syb4DK2frYveOavkai2ovEtU8Tt3yJ/6CTaXABcXD0Bt8JKCMLkQQE/6G9Yhx7g6zXRo0ZjarNViUSehapOAYctuIpPs8eULcNytEZce2pZaKBPzcs9xysk4Tic8B7RJu31wzWpi3HvSZ+BmffJqqO8pJK7j/7cX6aoZVK3344j2ufvoRM/8EN8ddpn5QfKV6mzaq3SZEyoCvRUIyK9VUUdMvTsmtAVA7UTdQTEf8pDS9wDQVHLyT8TtpItT1Q7gP0oDAxd6ccbJQXV9Jpt0YtIuZGcHTCMAJI1kSk5kok+Cg4umulhblGtzqljJJrryKQjf4ch55AmtCBOp1Lqs5AXIN1DKaRC8qDiFMTiFg2yZZKM/LYr2tlsKoyIPthqL3aJnKbQoLNDVG3G0LPQd5bKOdWFAjJNdvc378lKN+JSN1Ndrz01pOBrPpJKPfwdieBiCS16sH+PohVr+NZM29oeg6ce4KjNxKZCljg2sP2TvlMq+vacZ3aERCrTqtNPIdDbDpEPmpl4r9Yk0beI5HY5/b53ULKiogmUn7jJBpldEBce9kxyFfoCZ65Rv/muA/Wyg9zU4sEj0gMrHqt8NrW43DuZqsHv2g2qRerFqwNKKeeCCtlIN7DbeXSzkkq7yhIcpWegPvPQEL/1sRTYDMiJfZ189dFPkFlXt50obUREvP1BNl/ZsuT+uQKQIHvJE3cxD5tNT5+R0GsMFjlbY8+bvza2Pe6pTfyQStt0W1EKjVIeUFqdKzyr7wWiVWFlI1GZf992xVVcbtdMvoxErii2f8w7anjHYd4xkD9nc0LYG3e1w/61r0/WLW6Rd2qRRnZDevYBIlyDUE5ChH3fvaxXQmIVp/6Tm5oH3Tto+8rv50euCu5Z3PsNESKiMxUSvXabPF+wEoRWQ2glHodmKCUWgLcB/xXROb/pge6C63iwGOG0Xdob1b8sJqSZRvIys/kjJtP4IMnp/PtBz/gcDro1r8LJcs24A14qN5UQ8ee+dx96sNMmnknR5x7CAdOGMbzt7zOB1Om4fS4SMR0/G4imuCbd78nMzfAcVf9keHj98FMWKxbXELR4mLWLi7h09dKKCtek079AXC6HBT27E12QRYer4tEwmLRt7XMeLuYSLAhujmQk0FBj3w69cynsGcBXXbvRMdehThdDhxOB4bDwOE0cDgM+76DPvudhDvzAJ696TUu2f9N9j9qKHM+iHH542cSjgzC4XKmX6+UYrd9krxy/yTOu/1YOhW+DI6BekKbdSfKPQwxiyHyDg5rNs/NtqiP/oBYY1FGAOXoCIVz0HG5GvOmLeDNe+/nvjfW2EaUTky6EnFOIiO7M1+/dCIj/rgBVCbkT0cpRenaci7b70YOPT7IJXeuo0PWLEYecxrKM77Z/zOZSPLD9J/47JWZDBj0MrVVDiYeuYKDjn2Lw84cQZfdmxIqEpyCwxHm6b/35e5pXSAwEWrOh/LDEOKowDWQcSGEXwazhMNO2sRHrw3mqDN+IVjnJ5D3IQdOuIc3H3yP7//7I4ee1vRHUHkPQbwTbIPXf7ftQ2nWQOWRratDNkdoChKa0myx8p+N8h7SdBlgJRZofw/fcQ1kjbO3rkJYlYAXMm/F8B6Yfo24+iNVZ4Bpy+Iz70A1nswD+E9F6h+GiK1qiryDBK5sV9VbecYiwUlYpQ0GuNgpbVJzHaJuafO2kCRg2hNftGw0WdR026B/bLMf0BOyRpWQr9/9jkkXPkkiluC6Zy4lWB3kmYmv8Oe9/8LEVy5icF8XEvvartg4kcQPlCzLJiPbT05hNr8W3Qdor5PipettIsWOCU38AMnlqOxHUMrVcPhKge94rf5Krtv6JHpzuIcCbiQ2W3tI7GQoK6pgyMhBDQvMDZCS6XuOAPdBWrEEgFtXup39wKoBRydU1p18+dJzjB7/MXR4WU/QzGIwi5HESojY8dLJFYi0oKKKvodE39vxb3R7QOqR6vO0Qsdo+TMoEgezREdJ7yh4x0H9XbpNZStEipgVmnCPf9/+SNXkciCKctmqh/g3EPsMcXRDZd2UXk1/R45FgpMAF/jPtr1TArq953cmUnS1X1AZZyNmMRJ5t/nEX+I2cX4ueA4F3HZ7T+tESspo+veI9FWeUUjwMcSstNvsRCtSXEPA6ArWhhZbeyT4GIT/A4Wzto8RrXcMhJ5v7n2SUqw1aglT3nGaII99Bb4/bvu+/68guVKrCxxdEOce2idl87a8xLJGDxQgEJ4KmxMpKZWFuUab+boGsTkkuQIc3XUrsOcw2xA01syYXySmjUP9f9r+yT6mbZz7a1RRoUdB6iHxA2KuR23Vn6w5xKq3/c/QYxOA0DO/ntRNLAaiSOT9bVJUiSS1oljlgLlaqz02V0hbldpTJ/oZytENcQ1pVgBr8/7icwE3uIaglBcJv6DNZBv71KV9sHTbtfL+Eam7TR+b8oFEUM5+WrGHYY8Z45qwc/ZrMKPdhTR2GiKlFXQFGpWHKQGGA1cAY4BspVQfEXly8xcqpS4C7V7Uo8cOljzuQhp3fziRkzvrH426qnpeuettjvjTIeR2yuathz6kZNkGDKdBNBjD5XFRtamWQI6fW46+j8fm3ENBtzyumHwB4847lMcvf5ol364gKz9AqCaCmTSprwry4m1v8uJtbxLokMFeIwdx6JkjOPPWk/Bn+kgmkpQXV7JxdWnD35oyNq0pY9WyDdRXtdwiEawJEawJsebndS0+3xbM+UCbPE2+4hkmX/FMernhMPD6Pbh9blBw/fgVPPm5m9qqjXTtVcOLf7uOyvJ+nHvN1yjHAN7617706f8+oye8iZR/CoHLwH9qg3ErkIgneOZv/2XVT1mUlgTo1D1IsBbcniLqNp3Ghx/vQfGaMex36Et4vPUQ+QAVOJdf5vxCXZWTjn1GAOtImgGc1edB4GrIuKjJRN3pcjJ8/FD2GxNGqqewdPEpZOY6eOnOt3jxjjcZdGB/xpwxglGnHEhmVg2EX2LF4r1QKkZu4B9Q8wE6mUSrMiT0tK44ZD8CVSfSsWs9v3wXJzs7m4PH10FiIQOGWuQUZjPn/bnNiBQAlX2XXelvW4y1hN/SJogZf97ipFhCz4JVhWqpN1X5W5WsKt9xSPQjiH2JeA5Dgk9AaIpudci+A4IPQ80FSNZtabJEuYchdkQkQEuGMMrIRWX/HSu5DBK/gLUJqZwAWXe13YjMf7KeADcytQP0wNaqBO942hQFI3EdgScRXeVVXk3wuAY3r8RHv4DaG0FqUK4hRMMxnrz2BT566lP6Du3NTa9eTbe+ur92yKhB3H3aI1x/yH08+213OvWchZF1A+IaCPH5FC/vT/cBXbdJWpsiUoqWrmefMUPSihSCz+qJiPfI5i/yHQvBR5DIOzphqR1Qyou4h2qCdCdDuD5CqDZMQfdG1WlzY0OCklKQ87D+vDl6gKOLNruUOFK6N3hORrn3Ihw/AMv6mETtTHyF16XTahRgJZeAxFF5b+sBrVUHEkOSv0DtDZBxpW0cGweJ61jpyLsQuKJdrWYiSVsNtjfK15wE3mZY9fq7bBYjVWdrZUpLE1GzCLBa7X3fHlBGAPGO01XDzL9t2bsnYVckE/ORZEn70rk2M5ptYlqYeWNTEtc3AYKTgAQklyLBx8EzFqLTkaw7d1x6TBsg8e/Qk4m99PW5/p4mHgCATUYkUM6B9gQ01Zp0Y+tktWX38f4ORAqeURB8VKeSpNoTXXvoFCvvobq9xx4bNEH8R93jHP92u3hGKM9huogR+6pp+0jSJlKcjSaJrn20F1VsGup/ikhZrQlpQHnHIMFHWjCLtgl97/G6FRhAihBzo25ptKHVey7A0oa0LRApJJaDs6+9v7FI5A2IzYbNCj/EZkLoKQQDlXnt9nmvKZhF+tbZPkWKJIs1iZJC5CMItN90VuKbx5G7tcK1xX2utU3RW1H4QANZEP922wyTkys0MZF5NVJ/vzZ23ZxISRnNSqUec/iO04Ucc1Or6u9WEZ+rr3vKjTgHg2N33d7TiEhJf6ZSpKf3CKi70z4221XD2Q+i0/S1LvmjXpZYpI2kQ3MQSTQpQP2vY2cnUlqEiDwGPLaVdZ4CngLYd99921yQ3oVtQ4eOOekWHofDgSUm05//kvxuedz61nVMf2EGX7+j+5cTsQRKKbr178KqH9dyyzH3MemrO/Fn+ui7T28e+foupj8/g6dvfBkzaZJTmEU0HCcajAIQrA7xzXtz+ea9uaAgv0suHXsV0K1vZ3oP6Un/4X05/NzRuNwNX/hQXZh4JJ6OOhZLmkQfJ2IJNq0uZc2iYlYuWMuan9excXWp7rc0FJ16FdJjYFe69+9Cp94d8QW8OBwO6quD/PPqZ3E4HIjA8PH7MGC/vlimRTwa1zHJ4Thzp/1I9aYaZk/fg8NPnE807KDf4Pk8dWclOX/fyPP3C289ugBUD2Z9PJAzr1nDbgPuIrzpScqrz2bJgj4s+34ls9+fS01ZHQCf/yeD068OEshOsuyXEeQXruLUS+dTWfoz338eYMT4epI19/HDF7vz88xf8GZ4OHiCrkLPn3sh+43+SVcXEz9C9gNNqq8iJlL/ADi6M/CQW3jwUDdlxRV88erXfP7yTB677GmevvEVJn8Wo0t38HjKmPLZBoiuAd+J4D9DT6DMIl3hDT2NkXkdlqMfmMs5f+Ia7r78MEZMWAHmalTtJUx6T6irmI9ZPgdlbIPvgP90yJwI1ZdCZCqSMxllNB9sihXWgx/v0a2bo5qrW1S1iFEIqgMSekG3AiTmazPezJvtAfoBur2o7hbd95p5g45sDVxjq00MrYIx8lAZZ7ewgxC499PVYXM9UnUS4jsBFbhuq3JtZeSism5svsnw60jdraiMM5pOLlqBVfs3kCipaEPlOxqJvIHyn6Hb0hpv2zNKe/0AJWvyuf3kGyhasp6Trz+Gc+86tcl3sd/Q3ZnywwNMvuIZPnr+LS64eSMVRYvJzRkK4dfYuCqDIaO2IQYQyO2Ugz/LR7EdgSxWBeAF2YQKPNDiQEo5OumJVVoF1L6IXeU+CAn+o9mg+PdGebEmkVIeKSJJ2wC2oQKojBzYXMmQXAckUfZgPbdLb5Yv8NNz8FdAUyNFXTl/WJOSjryGSadZhADKOwrVyCBWoh8CCRDVLlm3Aqz4LEiu2zY5+JbgPQypPAeSS5Cq05EOb2qPr8bYUdHHm0F797yzVe8eif9AqsWK6EcQuLjN+5D4Au0dlPo8xOcBHt2SlZinr0Op43F0Rhy9dMtX/Fu9bvaDEH23VYPD3wzx78C9D0p5EO9RUH+/VqU0TppL6KjeFBGsvEfY7T0/gfsPLWyUBiJF5ezAg28FzkFg5COxrwBLX4dTChT3cE2kpFQBNkSsdCSxRD/bPikmrr3AyNXtPY2IFEku0ebjjaLPdeLQWIi+j0hUm9D+fw6x6sAqa/C38IyB4CPadNeezIrEgSQAKnAxkpibbkuRyDRU4NyGDSYW6gmvytaeRIHrm/xmaUXcWkjFo7v318qw2KfNFLQSta0kw28ggau2b3R8ikhppyJFotMaPVJI9H3UryBSiH3ZaDMd0EqKSqzo1xjepgU5Cb8M4RdRngOaedKk10ks19sg0Zw0bA9S5LTnUL2d6H+RwDVNxx0pTx0Ac40OGADd3tOesAQrqL/vGfqar5WDE2x1bbH2MwP9mXL2T5PdyshF3PtrwtxusxVnH9ubL0WIe3QqqnsoQgKSa6Et/mH/I9jZiZT1QGOKs5u9bBd2Yvzlucv4+p3vMBMmmXkB6iuD1FcFuXXC/Rz958OZ/P19PHjuZNYtLkFEWDhzCaf/7QRev+9d7j7tYe6ceoNupzEMxp13KCNO3J/ZU+fy5etfM2/6Tw07sq9F3ft3JVQbonJDNRXrq/jlm6bSM4fLgT/TR05hNh175JPTKYes3ADZ+ZnkFGbToWMOHTpmE+gQILdTDl37dubAY/dLX+xCtSGWfLeSxbOX8cucZSycuYTvPmroKFO2ea5YUNArn2BNiNnvzWXJdysYdsReZOdn4fK68WX6GDi8H1+9OZs1q0YTjy3FEi/7ji4jo2AcMIdO/f4I/ED3/l2pqgxw25989Orr49wbN9B70CSWzMplxuu9CQcT9BjYjd2G9OSnb6ZxxjWlAPQf/C3kTAFzE9m8zojxi7AscDotpOYqFs/qQu9BPurLvqEwG1YvXMd+f7xYy4PDzyAVR2nTPXsgINHPNTsfuAGSaxG0N8sp1w7i5GsHUrxkPSvmTKZrd91PmZNbySdv7sWRlz+VlkBLzgNIpT3ZCT2FZXSCwFVQexn5nZOc+RdQHf6FVBwF1ga69oSuPdGtLy2lzLYVtY26/gSoOmHLLT7Rd3XM9K9BYp7ui86e1GSAqYxM6PAvpP5+CD+PxOchzp72oNzSfypbO6cn5qNcQ+0EkDydcJLcCL5h4KzUShD3MC2tjk5DvEfq9CAMtPmuAcrR6LHSg1dnT+1n4uyl5b6eEfrgYrNaHUikT1tsFkTe0i1ZiSWaXHDZ8vcWUkqUZxTi6Ikk13H78ZMJ1udz//RbtBqkBfgzffz1+cv5dmoH4A5eveN6xpx9JAP6x+iQt55u/VpQjLQDSil6DOjKsrkrKVmxkc55m1DEwT0S5dm/9df5TkBiV+qUqdT5aiPEc7j2wYl+Ahl/2qbj354oK9JESkF3W9ZtlQLW1smepN0CaX9Wug/owhdPZ9Jv76WsX76Yrv0aVUk9I7QKKz5LK3tSSKVdNfrMiFi6cgoQeQ0JXNQu9ZFyj0BiXzUdJG5HKGcfKJiGVJ6oJfZVE5DcN5oqQlJEypb8grYHXPvayW1b8e6Jz9M+KhLTbTbtIFJILLCrmcoelC/VaWKR17QZoXuzNj4jx74+m/rPKtWkcvSjZgaHvxXEqoHkUlRAmzoqR76OD468jwSuTU8eJfmL9t9JJfB4DgNcSPQTVKtEiq0i2MHpOC1BKUO/j+jnulU3VTkGe+JIAzmUgllitzt4bBPo27fJENmq/rPet+dQiE5rWpVOLG2qRkkdmvcIJPK6/q35Pcm17QSxgtr8NXMiynNg8xVSiT0pIsXZFxw9kOinaVWAJFIt5YY2qfYdp1uwwFbnnavXE1OrAHzHopx7InU32iahe222PzNNcivlRjyHQPRzJKvB9FtEIG77skj1r/pd2xLELNafDdXONtxYikjJAEKQXI4klqNc/bb0quZIpNLDsrRaLvySfhh+BjYjUtLfk+g0CLQy/kku1wRlcuU2ec5I4mdNvDp62C00N2v/pkZKXkmuRBMWWjmskssRR2+933YQKfocmE3Tx3zHaOVg9H0IXKZ/cxMLm/m+6GP7mx7HOrqjpBaxqkDZKlEjW38W/afpx8llu4iURtjZiZS5QF+l1G5oAuVUYAeVn3Zhe8Hr93Dpw+cy+cpnqa8M4vK4iMcS+AJePnhyOvOm/8R1z1xC5YZq7j3jUQBevftt9hw5kO8//pEnrnqOKyafnx5UZ2T5GXv2KMaePYraijpmvf0dH0yZxmq7Dad46XoCHTK47LHz2Hfc3pStK2fZ3FWsXVTEhpWbqNhQRV1lkOKl69OV6bbA4XLg8bnxBby4vW7cXpc2tt2je1ppkupvLV6yHo/fjcNpkJHtRyyhelMN01/4CofTgYg08W5559EZuK0s/jRRTzDM4BvEIorJ18wFjCbHWbouk7lf9OOs6zdx+tVlOBzCpGu7U7SkhKIlJbi9fhIxheEU4lETH9roNvXlThVR9z88yP6HNzWePfXCl6Hq5YYFVinUXtWccAjejwTvb3aOuhdC9wlgJhVP3NyN6a/n4HB5+PzdRzAMlW4d8XiPYOT4xRx27EJU/R3UVfvw+BQer7DnHz7l76fm4POPp1vvSkRg9U9ryS7IotNuhSilUIah34dSGIZCKQNl2PcNA6XAMBqW9eyzjN0H/ML3Mw8nHM6mz4AFdOu1gp/njaKmuhMKBfbh9Rn4Pfmd9sbiAAAgAElEQVSFRXw36wRSaUDp6VwqJMTQ3jiGw8AwlN6Xfd/nr6ZP37coWjeGDRs7Yjh+wOFs8NLRHjsn0iE7mw6ZH6LUjzgdlXrCgkJJrT5N0Y91lOVmkPDrWOLHUEFiER/KGIbTWIYRea/RkQqamJH0fbvzumE7oAfdRgHgg+DT2lPBUdCyLFyiEHwcVAEYXcDl04Ox+Cz9tJGn234aoaasluCaejp1h+sfr6Xz3k+RXZBtV+Eaw9Vk0jx8wukkNz7OAUdEueOUz3ltAQweFtomo9kU+u27O+//cxp/6n8lL/+wmPxOFs/f1wV/h3fptUd3eg3uTsdeBU3VBp5DQeUgkf+gWhlw1lcHKVm+kZLlG1i/fCMlKzZQsnwj61ds5KF3vYg8wbP/KKFH/65069+F7gO0ki2/a+6OT19pAeXFuiWgMEWkmDoViZaiTBtBkivQCUx6ctC9f1f6H3QehnEvL99yDT3/8GdOvO5onC6nXTnPQ2IzUY2IFLFKAYcmCFNILiPdomdtaNUDoFV4DoJ6tFrLeepWV/81UEYAyfsYqo7VLSwVR0LuCyhnLwDEXANGwTbHjYpVB5it+m80ePc8rL08WjCK1uTHYt3GaOTa5OyKNiUPiVVjG5gepxckfgQslGcEYm3SbS9ZNzeVc5t2mxxenS4WeRs84zQh/XsZjMa/ByTdrgbYRrhf2u0tttoqsRicA9LEgjIyEc/BmiDIvLHl76f8jq092CR15B2QWpTrtIblUqWv7cklTROKbDUK/tMg/PyW1TZbgVhVdtXfgKy7IPIffa49B2nj6eQK7TezOdz76etodNrvRq5tV8TnQnIZEn5lK0SKnqArpbQqJ/xiQyxx5FO9jpFvt2YdAykixVyCWNX6OmCuAQmhXEM00Vfn0iRlEyIlRXI3EA/KOxaJfqDVsSny0yxqaAlDIeHWf9d+FZJFmixox++aSFy3kYJWUYQm6eXRD1GutrceabPWIkCBs59+/+HnSbX3NE7v0eumVFrTUYHLWtieqdtt/KdrojX6QYueM21C4ifbr0Rp8+W62+0WmkYt0clVmoQioU3eY59r0jH0NGLVaJVoW85DfC7gaGI6rRxdEPdwJPIeZFyqfVpSn6nG8I6Futv0ddE9TJMtAFJn35r6c+/oDjh3Gc5uhp2GSFFKvQaMBvKVUiXAbSLyjFLqcmAaeobzrIj88jse5i60ERMuP5LsgizuPfOxtGEsCpShCNaEuP6Q2zn+qvE8POtOrhlxKwALZy7B4XTwwZRpdOxVwCl/aW7ylJ2fxVEXj+Woi8eyelER95z2COt+KSZYHUr7kjicDgId/OR3zaN7/64ccMwwOvbMJ7dzBwyngQKqNtVSXVZLbVkttRV11FcFtU9KbZhIXYTqslrqKuoJJyLEQjGyCrJwe124PC5cXhfJeBIr6SAWiVNfFSSZMDEcBhtWbsKymtIQqfShzfH+c/mceEk5yoDBw8KEQ17+9u8g1aW1DB8/FIfLQCwQy9JEjFXA+jU/MvbkKoYfDjXVA0gkTJbNXUU45CEzOw7KzbpVhdogSkAQIsEouw2owOsj5TWKZSoSccWSH3yASi93e6DXgCiB7CSxqBOPN0nJ6lwiYVvil35r+o7LY9KrXwVTX9iH1ct3IxFfQSIeY+l3K+napxMZOX5EhHgUPnplIBmBevY7ZB2lJRn03TOCCLjcFsedO4N//f0g1i7NQyyL9StjxCJxuvXz2S1YFpbdhpVqyWpoz7KatGeJJQSyHbwwR7Fp9Xym3NwNl8fH5E88dO4ym9vP7E+oziZMlPDK/CK++TiDe/68tN2f8xQeeCuDAfu8z+PXLOLnOVuaVGXiD/h5/aeNTHs9lxf/0Ymnv1pGxUYniQT02SPKpOu6s36VlyEH1XHB30opXukkIzNKXifwOOa0ydakJSjQkwHTnhBIBMJtNO2tv6PhfiqmufKPzQi3bCC7l77ff0gJWAchpS1szzseldOQuKKUwuEfyT6jZjDm7LPZuG4lg4aFtyn6OIVLH/kTh58zmo2rfiK/00RqKjP4/I0yyotfbTgcv4eu/Trj8bnThNmEczqy/2HTuP+iW4lH/enlVZtqWL98g04Xs2E4DDrtVkjXvp0ZMnIQwVAOew+fjtNRzvQXVhCubzCJ9gW8dOvXma79upCR6cNhG1I7XY60QbXT5Uwv9/rd+LP8+LN8+LN8ZDS+n+1v0i61JZQVVWAYirwu9kTL3Khvt6pIWWkPkhsGksMnnIO5aQrjznRw/YRXmfHmbK57+hL67tMbcY+A2AxEzAb5uFmqCYdGcnKJfp46I0AECb+Bym70OdsaHL3B6KxNiv07hkgBTaJK3ltIxbFgrtK3OQ9r6XxyzXZRo0jNFdq/J++D1lUD/jO1F1PNlZB1K8p/RtPnEwsAC+XeF5z9of4ee1LSBp+flKllE38UPShXEtYEb/zbdBVbzEqwStBXlaROlau/Wx9j9DU96f4dIli1P4q3aYum51B0Ksi7KM9B9kRpKfhOaPJa3d7zZfOqfwqWbWL5OxEp2nfDIJWUlEZKKYMF0ekNLSSJJYADlXEhEn5ZV7h/JZFCdAb6N98Ecz3g1e09noN0WywJVEuKFOVCvIfZCpb47+qdsz0gCTu2OPZVAzHS+PnkKsANjgZvIuUdg4SfsVtExkNihn7CpUkO5eyBOPeEpJ68SuQLVMYJEE99J4foxD/PCN0a0sjHR5LLAZc2BU/BPQLwaKIgRaTEZjU+Sm0ivXmay7bALNHXnPYgPhdIgtER5T8BsYkUIlObt79scd9r0GoOBe5+aW8ecIBV1jS9xywBCYLRSxOPySKUc7N2JHMdEEM5+4Gj0FZUteA5sxVoYnslKqDTHpWRg7gPbN6ilVylj93ZRxPXwcc06cG/7OvocW3bYXyuTiHbjMBW3mNstcnPDW1EmxEpyshBXMMh8Q04+yGJRegpt6mLI8llgIky1yDO3Wxj8l1IYachUkTktFaWfww0L9Puwk6P0accRLf+Xbh21K1E6qNE6qN4MzzUVwXp2LOAdx79iO//O5/DzxnN9BdmAA2kw9M3vExNaS0XPXhWqxfU3nv04N8/P8QHU6bz5HUvoBRk5WeSjCeprwpRW17PqgVrmfHGN01e58/0scfBAxgyajDDxu1N36G9W5yM1JTXsnDmEn7+ajE/z1zMmoVFiAguj4uB+/dl6Ni98Pg9fPH614TrIhx/zVEoBVZSe60kEybh+gjzpi0gVBvmvHtOJ79rHgu+XMSHT05n5MljWb64kKEHfgGAyxWn357FsCcQn4ESBy63E6fHidPtxEyY1CfqicfcZOVUk5UzH1QW+fkhPN4khsPC54/Ss08YGg3GRRR1FQ68PhOlQHDhcCZwOIW9DgoBbkTcxGOQiJnEomA4FP5AEjPpoFsfB1rt0BIMcB3KiTdN5oCTyvjTgKs4+a8T+Prtb1mzqIgjzj2Eix48i6w8bdYl5kakfAxOX2/uu8zHjU8UIwKD9y3lsQ+Xo3yHAYrl8y2+efd7jrl0T/I6/7qBq0TjHHPuKo657GQteTUHQ+R13lmZBM9hujphlqFiPzPixP347ykD7PO12XbEj+k8FtP0YiZNzKSpiZuklX4sZjXKdQ33v7WBkvJ7CUf6YCVNvY5ppV9jmRaFBTPw+BbR9+Br+du+/agJz6HPnpPYVH4qSetb/vLoBkwzA5dLEx49+saJRvMwzXpi0WyWLD6eYF0OSuIEsjaSmbWJzKyNZGVvwp9Rmz7uaCSDutp8zKQLSwws0wGWgWkZeLxBOndbQ3lZF6ykA2U0fdNud4Sc3EpC9ZmEgtkoZZFXuAnLUjgcJmIpNhZ31/G3Ipq3E8HtSdCpW5me5Job9Ofm/7F33mFOVevbvtdOn0xhht57BylSBEGkKUVFseux997FXrAeFQvHir2gYkNAEKmCiIr0DgJSpQ0zTE3f6/vj3UkmM5mG5+j5fYf3uuZKJtktOztrr/WspziOkeskWmY2+KdjBs7GKDGrp1z9wf81Vz7RnewtvTl2wHLcTf88kGKz22jbsxWt27wNPshsdBIf7/gnRXlF7Fi/m+3rdrNj3S72bNlLKBCKgXI/z2lKv2GbaNNxA99PbR77/jJqp9PvjN40bNOARm3q06hNfeo1r5PQhujwIHT2LB7/vBukXMqhvbns3vSHsOI2/cGuTXvYtGQLgeIA4VCEcChMJBQhHIqUC7yWVw6Xg4xaaXTq145ug4+h+5DO1GtWp8xyB3ZnU7NBFjZ7FNywGClGFaQ9pSRgShkYnhPo3OsHHvriQV6+8R1u7H0v59x5Ghfd0xe7/lqowNEBqblfpGolKyAzsyrtLnTBWPFSSH8wRkevrGS2t5+wJXS4yusdSSnlgpoT0dlngHkQffgatPcGAVKi/gRHWDqyT0AKNAQXlhubrYw0yHofffg2dP6j6Mh+VIkBh/ijGGg8whxxHicJHqm3Vjoo0cGVSFtuDdCDy8DeHmV40a4BoNJkNjw6ix3V/qOBsBhy45bv3KgrAM7fAKQQXGL5o8QH7OKVMhL8X8vgxtwPuhhlL2WUnSDvKQukaDMXsIP6c+yjIy1lpKON+mDuSQ6kGM1ktjsKKobXW+kxtS0PhNno1LuOiA2nA/NElmdvLvITZ1+Rj6Q9EGe+lEjsSThu98lo35eWnOTEau/7v6qCS4TVqXMhMCdRvggyULU3T/QfcXS1WHpzxBg7vF1eLwGEqpSz0PkWC8D/FXjPtGQhqTGgVrlHyvcQWiasAbDa5uaJ17vhtdrFOWJOrRQ6uAgxGO1iAa4hMZAvDcYeQWkdsZLLhlRvvcBCeeLoIdeo/RgIrxbz/dAqcMaZFcIkWQv2TmXjg4NRWY9G2Vtb3jyDwTdVXi6Z3hO9VqMG/4HZYL8i8cCiIIGjjYBDKi2p50ylFVoDaDnnVinPCHReXKIlseEHAY/cY11DxFQ68ofVjs6OswQrKK0Dcs5SLkKbeejDt6LSH0TZW0jqW/5YtP9rOR7llf5Z6XJ1FyBFueQ6N2qBuR/lGY0ueNz6TOuE/RRaVXb9/+H6rwFSjtb/n9Wqa3M+2PIyN/a+l/3bDxL0CzvlwK5sMmqnc/hgPsvnrsGT6sZX6MewG5hhE6UUXzw/jaWzVnLr69fQsW9ytFspxWnXn0znE9rz3oOf8vM3yzAjJscM6MBxpx5LelYam37dwoaff2PH+l2EAmGKC3ws+XYFS74VN2qb3aBBq3p07NuWPqf2pNuQzni8bmrUzqD/mcfR/0zxUsjPKWDtoo0xYOWzZ6cksE8+efKr2DEpBcowYpIeZSjevncid7x1PVc98w/mfLAAh9NOj9OfQx8cCDoPR503ubjDy/Q4uSsNW9dn45Lf2Lx0W4zRYxiKph0b8/KSp1Hh98UE1tmdz97pyralX/PUp+INozKeKNPof/PG5/Q87jHaHONHKS/oPPzmSSz8fAkDR/twOArxeDPx1DyVkBrKmp9TWDHra6a9sZb+Zw/m9gnXxgdg5dT+HQcB6D2iOxc/fDYfjf2Cz56byi/Tl3Hdi5cx8LzjxaTQcwFNm7+Pcgwj58BBwmEPdRrkQmQjulC8Vlq3gdZjAN4nWYpqtaro1UTmRHij6OhLvGQEZwOzy92EXX+Pypwg5y5pNURHPkTnXECTeo+gsiaiyulYmjkvQaQZHfqdJZ0cfQz68Crq1Z4MmR+A730MnEAE/NMg63NSnF0w858mxfYhPUZeXa6LvDbz5fOF1uN2r8ed/jvoABC2ZDhh0CF5rqF2nQOQVAQkg3lvWjHetDibwjDkdWXTNGz2R7JPJw+RaPpVxEoSsZVdJvcyTNcAlHukDGJcx8uxBBZRq+kIdP4PqNB0sB95/GDsE4U2g8/6fVrpTd4MLx36tKVDn/Jn0szsMzj7hhDnPvxMtfan7E3R9g5o/7cY3suo1SCLWg2y6DqwU6Xraq2JhOOgSqA4QHG+j6J8H8X5xRTn+6z/o8+Lyd6Tw8r5a/l+kniONGhVj+6DO9N9yDF0GdiR9Kw0Du7MpnaTuEGxjuwFVSPB80MHl0JwaSx6UcwMd4izf+nP6BqA9k+l3ykpdB34AhPu/IBP//k1y+fUZPxUAwIL4gPSyP4EMCYmB8Ah0oOiN8HcKzKdchKykp5nVz+073OrY1pxNPCfLWVkQdbb6EPnAgqKXpE3gssxc6+LLlXi0XqubGBrKdHFji5lf7v+b5EObga66N0KY7OV8kCNl9H5j0jMcWQ/ZDwuwEloKdjaQe5laPcQlPsUdP595TMsSlZoFdhbi5RJB61O+fnWPp1odzSR51EBJkIr5fMpL5Aqsh73MBmcuU8H36R/74x3FUqbORDehEoty8BRntPRvk+EsREddJaSkSkjA+3sY6X33F0WcDBzwcj8U7I8HVoHOlBpjHW5FZVgah9gTU6Yh8TLwDNSjMsj2WJEHtoQT+RyD5FrJrK1Ul+sMsesAyLpdI9COXuh824D+1AIzpNZ/dBGhIXRDB34EZ0/FlXz83gKl7MvEo09678yEr6qpc0iGUh6rxLPHf+MBPkiIOy90rP9yoZ2DRLprg4Ccj9NuAbcwyD/UcCUGGCzWH63jk5xhpprIMI0mRH3wQj/ljBQj+3TNVQkIuF1aHsbC6iNSFKdSoPgD+K39G8AUsRrK4SqbvSxZRAbPQ/Kcwq6QFg42vc1qgSQQvBndO4lqMwJZcG4YImJ0lh60Ulo32eAK0Heo2M+Qn4wGojkzJsIpOjQJmIMEeVEu06EwLxEhmVVqlTMMCBACQ7rO+wSl4LhE08uexthMwXnCTBV/CVa+6Tdr3Bfq4GQXBfBxRD8EV38GSr9HpEtugdJIpLREBydk7MelSW7Df8u17lRQ/ygXCdCweOgPOjQGolG9k9Pysj6X62jQMrR+o9XjdoZvLdpPGNOeozVC9Zjd9gIhyIU5RUTiUTwFwXw1kjBV+gHDWmZXpTNID+7gO1rd3FrvwfoNaIbp1xzEr2Gd0s6oG/eqQmPTr6bQ3tzmf3+93z79lwm3PkhqTW8DL6wP3e9ewNNOzRi5waZgd65YTdbVv7O1pXbyd6Tw66Nf7Br4x/MfEca97SaqfQffRxn3X4KjdtKikF6Vhp9T+tJ39PkJhaJRJj42Jd8OPZz3t30Eo1al509N02TlfPXMeXlb1k85Veevmg8DVrVo36ruiz4/Cdu+NflGKnXoYveYtNKL+FQhOFXDo7tIxQMsW31Tjb8vJnfV+9g9G2n4HQ5wHUlYEMXPMXoyw5y+Rt2TNOJYYTRgdllZn9Pv74Zr1xfi7vH7wYtFGV3ejvmT81m//7mXHR/Kwj8CL6vcPAJ3btk0r1nPzr3bs4v079g+ktLGH7FYOzO8psMp97IKRdn07T5Ipx6JZc/qDjt8v7MnbiQNd89iO9gCwZf0I8DO8PUqam4fuwG9u+qQfN2++KzPJ7LwSODthevfYOgL8Td799YzSvOKq0h714gCBnjxBBFhyHvAWFF1HgOCl4A5UHVnFj+dvzT0Xl3o3Ovg8w3ytXKKls9yHwPnXM+OvcyyPqkjAmmjuyB4C+oErPESilIfwSdPQIKn0NlfSjmgoUT0EyLJeuI9vedCl3klZEuumhnr0o1rGbO5RDZi1H728TX8+4B3xRUzc8SE1Z0RIw3w+sAL0a9FWW3mXcf+Oei6vyMUgrz8Bjwf4OqNTVuYKy1zHAUfwjB1ejA94BTBtC2hujAAlTWRPB9ic5/WKjNfzIVRReOA1KAomqZRSrPmeiCsejQ+uTRkxWt6x5mxRj+garEhyRhPaWwO+ziOYJ4RGXVq5yVpbVm58Y9LJ+9muVzVzPv40V888ZslFK0PrYFf2zZR4+TS3S6zT8SEnsAdOHL0hFzD5HrLvw7Jc0ME8oCvnRgAWmZXbjj7esZeH4/XrjmDTYsc5NV7wvsdS+gZv1MlLkfbPE0IB1cBYRFOqJs6JR/QOGz6KKPUNUAUnD2sY5h0ZEPTqtRyt4KaoxH514p9HHzkAxqI3tI4kgkjzokg/MiLcdqbw2ObihHN3B2Q/umg70Dyj0cXTgOHdpYNiKz5DEoO6Q/BrZ66MLxaDMbnTEOgitFehNZL1KK1FuRTvs3FUamiwHhahnMgbBKCKCcx8b36R5ppQYtFD19cAVggGugxLnnPyQMGF0oHXBClszk7CM6z0dUwSXy6ExiIu3oKgN9/2SwdwKccUPQEqXcw9H598rsd4m2D4gBKX+mdN59koJU+4cjY1BF2SeBHyDlzPhrRpYce9ErELCMyM39cTDfNRh4RJJAyjPYLK+CPwuDxz1Ifm/5mRarQkkaTXiDeFMoO2bgB5FaBObHDC1lMDpIGBLpj/7fjU0NrUDMPHuhCYvpewkPC639ENmTlEGgXEPQvs/R/kVI22BLAOSUkSkgXvBHJOrYMvkv4TsjKYADLaDPStKL7EZ5kvzG3AMh32aBV8Wgi2Ub9pZgb4sOzofwmip7KFVY4WhiT9UNv3XkD0kbgjjQ4D4JCp6U5/6plieT9RuxpIfaP7ssGBcs0Q+JgoRWehEqFcx96OAiYdOF1hOfOFIQWlk2Zji8GWxNY+CFcg8p4TlTwsi1ss8YWiVmwiU8ThIlWmPi0cfWsQvLcggUT4Qa4+Ux8EPlrMdo1LOzO7rwdXkemI3WY2Ri13062v8tRArAfXnybUR2AobsTx8GnSIG0rbGAtQqj9wbXIOt8/TbEXsu/f9WR4GUo/WXlN1hZ9z8R3nxuglMf2M2NruB02XHX2wSDobJO5CPMpSYuAZC1KyfSevuLVg2axU2u8GGnzezZMYKajXMYtjlgxh+xSDqNKldZj8162dy3j1ncM7do1i9YD0z3prDjDfnMOWVmbTt2ZLhVwxm0IX9GXhevFMfCUfYu20/m5dtY/mc1Wz6dQs7N+xhxpuyblb9TAZf2I8BZ/el9bEtEkwpZ747j+5Dj0kKooDo67sP7kz3wZ3Z+Mtm7hryGAd3ZRMKSPzdbf0f4uw7TuW4U+axeuF0ADr1i3eiHU4HbXu0pG2PJJ0+72WAjZo8zj2vpHPoYGNq19sLvi/Qvi8SlvUCd5cODC98iacmAiwT08aSpXMhMI1e/aFXf4A94P9JUnDLqY7HyB88F/OoqpkG51wbXWIPhH+gkXWqnK4dpEXZ1VEjP9878gfcat1TySmp7z3Cyk3ioXDYSrTw3lhxp9YzCnQEnX8vOvd6yHytXK23sjeBzHfROReicy8VMMVWQmYRpZu6E2ODla0upN0jWlbfp5BygRh0qrS45tXRzYrAPHIX+YR9uvqjC55KGOhr/3xhbnivSwBRQGbWSH8YnXMOUIQObSjLugmtsWY8LJAo7W50YC46/1HIfN9iaylIuxPtnylmbqmvQOBbSbkxD0Bkt/hAuIdC4Xp07uVW4sYRdsAj+62O/T/A95FQVqtanlOg4Cm078tqAym4h1uO+TPBW07n5d9YSimatm9E0/aNOOPmEYRDYTb9ujUGrPgK/bQ5tkQ7EvkjnloCQjO2BqPa9xUq7e4yiT0J+zOy0I5jRI6CpKR0H3IME1aPY823N9KuwULOO+YqQkGDyZuL+Gr8r/y6cCyZ9Wow4ryf6dQdNq9tg5G6ldZdR6MLn4PgomrNdIm2u7M1ALn5iM5bdUu5jhfgM/9B+T/rnZj5bHmlzUKZoQytQAdXyOy0b1J8AVtLGVxgRx++Xaj5VSlnX2ELZA8FAhZ1XQEhVGC+yHL8MyxfhXJmUyPbEQNTC2wJLpNHR48S+zmOaCIPrkHWbGsE5R4CrpMk2av4M7megj9JwpB/OuovBFJ08GeRGDnKsr7ErPd0dOGLwsazt0nenrgHQ75d5D3/ZiBFRw7EpQXVZF7F1tc5ltRgAao0kOJog7a3Qvu+RdmayXt2aZ+VrS7a0UUGoqnXJd9Befv1z5fz6jxOQBHPaCh+H+ydZMAf2ROXdViyCJEkxJmEyn0y2j81ZlD7f7F0cAniG9RN2p2itwSYil7j4W2ABlvZvhquvnIOi96T/1XZ60ilnIeOsiuKPwZCZUxBlWcEOjDTkhhZTMIkILcAMz1FzoUm5q1jbyXyrHzLY8X3JcpxT3VPRWJZ0c3Vij6OynqwxyRhytYAbe8kvxFdaHkySTuow5Z/XWA+WptxjxizUKRuACorZrQcTy+yYpGL3hGQOSq3sbcT5i6UjRkOb070e3GeADjlmq4ikKK1tpiAfcq8p9wjLInWCstTxw6E4wbFUbNc7ReWon8OqhIgRQd/lTbNyLTYgoZ8L+GNcn5d/QQM0flljWZLfu6odBCkL2YfJuCOowOEtkL4N0mdBAH6jgIpwFEg5Wj9xXXra1fTrEMjXrn1XXyFfjr2bcfWVdvxFfrRlkzGjGgO7MrGW8PL+feN5pMnv6Iwt5iTLjmRnP2Hmfj4l0x8/Et6Du/KyKuH0ntE9zIsFcMw6DqwE10HdiJ/fAFzJ/7AjLfm8OK1E3j7vo8ZdcMwTr9pOBm10rHZbTRq04BGbRow6HxpuAO+AFNf+Y4vX5rOoT05fP7cND5/bhqZdTPoN/o4jj+9J74iPwd3HeK6F6oWcdqudxuem/8Idw9+lFoNa7J/x0G2rd7B2LPH4fI4UYbCnerm7XsmUqdJbeo0rUWdJvJXu1HN2Ax1yVLei0HZ6HPSoxzaj8yOpj9bxnBq9YL1fPniN7Q6JsA/btt7BN/cny07e7Ov57GLlnNoTw5dBzXjnhd/YP8fddGhHdRp1hmbuzP43gfcgB+tFbu2OFHOTjTueJJleFm9+EZNCA6PAXvbhChQ7Z8NfgtsMrPLWTteKmU0EELnPyiD/BrjywdTHG0g8y107qUWM+UjucFpLe7pjh4oe6OyK3rOEk+DgmclTSewGJQDXfiv+DJGXfDPwSx44U97QmhrdlPnPwqOTkLhLp5oGbWpxP1G19Fx/w6dd3fCTInomGAEYekAACAASURBVH8DbzydQdlqQtrtQiv3T48xaZTygPdadMFjKPyo9AfQafeiiz8S08rgz6JBB4gUQ94dFUdXV1a2xuDqU20gRRk1RNbgm4ZOG1Mts8S4vGcm6i8AUkqX3WGnY9+2dOzblosePptwKBxrQ8Qf6I/Ejl5gARCWDrFl+CfRjDZJZUlSyjUAXfivhLQQj9dNz1E3ow8t5N73erBrSw1gDcpeF1+hnz8WbeQf18sM4+MXr2b/rnu45bWrGXHWsRBaKgNBbzUG4M7+Imkw8+Nygv9wqZRzhV3mm5pgLFnu8kaqDCBdx8t8qDYhvFUG9oHZMrj3WyBrZAsU/0HVXaWdoC1vpMgeBEhxClCTcoP8joJL5PpPVtHoUItKr0NLwdZcfrvR41cOYTn4J1tGhH7ADs7+cYD10Nli4hhaCp7zRd4TOYiylZ3w+I9UcAk4ji0fcPWMgsIXZVbak1wuKIaQfcoaQoIAKcmYWVU+Pit+FgfaN6V6zCuwmEKAs4cAjtH4YTMnNogVVtPL6KAFgpUAupVriDCeInsrjzy3SmsNgbngPD7GxFQpZ4t5qlEjluCmLMAmdoyBhWjtRym3/O/qDyrFYkj8dwIpWofBzC3/eg3+Co6O4kGiOlqxxjPiYGF4mzwmYzopF9p5QvyeVlK2Ei3XicRicMPWb7K0bMc1wDqPM+ID4hKJPQn7dA1FFzwGAUOS2SK7xTPHyEA7e0FwDfinoNPu+FMsIR3ZCdihJKujsnUCCxA5WOtEfxf3sJi8Wxd/GjeJDW0E3NJXC62On78oMIJNPE1Kfv5oehFOCP6KGckBLX09lf4wOud8UFnowKxYzLDWPmFmuE+Nb8fwol3HCyiVdm/VpH3mXjAPxsHpkuUaRFSiRXi7SK0ISt8OZMJM1ZDJH9dACzwKlfsdaR0WtpRnVDwJyX2asHr8s1CO9tJ+29tC6Fe0rUVytnJ4s7CZ/fsQ+XUY5bAAJUcnyxw4IqwW5UWHNx1N7rHqKJBytP7yOv2mETRsXZ8HT/sna3/cSL1mtek2uDO/LdvGwd2HCAVCKEPx27JtONwOrnzqAt6692Nmvf893Ycew/ifnuDnb5Yx8515PHz6M9RskGmxVAZTt2nZm2B6zTTOuHkEp980nHWLN/H5c1P56LEv+Py5qQy/YjBn3XFqmfVcHhdn33kaZ91xKmt+2MDn46byyzfLyd2fx/QJs5n22ncYdgOHy8GBndnsWL+LJu0bVdrItu3RkrFTxnDv8CfwpntQhsEDk25l+Zw1THl5JmlZqSyeupTDB/IS1lNKUathFv1G9+b0m4bToGX8pqVSLmTmuws4+czvrRfsMlNYohZO286KRXWo3XIAW9a8TItOLgx3bw4fyGP1D+vp1K89WXVLxaxpLQ20zgZHb3KzYf3iTTjcDjr3a48n1eokGTVR9hZ8+eJ0DJvBGTcNL/O5zeLPqV/nU/qcehkfPT6T7z/bQ9c+LRl+7kpmTcpkaJOV4H1RtKEqQ1IpAgsJhz+kWctlULhMDNuc/cSJvopRdArQrp7ish/ZFadZOnvLACKyC3xfYNpbVR4zpzzioO6bjD50Hjrlooo1s56LoPhN9KGz0N5rULoQItvKHVSLxOdxdM4FUPRy7PVkgAZFr/05YKFkBeZLWkVsh0VlfWWSVXgTunBTqRcdZWMVPedC8RfogqfANSDuEZFyLhS9jS58AZx95VymnC+DS/cIlPdS0Ca66E3wT4HU+5JHTlalbA1F7gDVkvYAKM9Z0ukJzBWWSXXWPUJ5z3+iEoBYXQC6KGFApQNzwaiDShuDPnyDUHzDv1kAZjkAkusEie4M/JA4OLV3ApVJt37ZdB86EJ0Lo2+7gjPvOQ5tFqMPdEOTzlOzXuONOz9g/PVv0rhFPzp3Xgq+D6AaQIpyHS+ShuBPSb1c/lNlpN1uGblWD9wFZB1HaxmEOLpj1PwUAB3+HZ19Mngvw0i7pcrbMw+dH4ssxnUSBL6z0pZqSafXPw1VDpCig6uEAm9rIQBPcLmwwUofs2ck2vcxFFtMGsexMeaQchyD9pwjzBRsSIqGabGxLiqzrX936Ui2lZBxernLKFtDtKOrtPv28tllyj1MmIHh9VAyplT/SUZKYJGAuK4hAlRW02NAh9YAhgzyAvPl+3b2EiDFYc0Mu4dLZH1gIRj1E+O03UOhcBz451T9OwmvF4mQa7B4hCgbyt4C7egVZ6sBONqJGa8lGwa/SIXdIgNQyi3sqMAstH6oel4Tf1HpwvHCGKk1vawkV/tlAO+9BMCKsx0JRW+gI4dQtpoW6GwI4yNJKfcQYZMAuMoyZJVyiQQqMBOISD/IqFtqGY8YqfpnoXFJn6Q8INc9FAoeswxpO1gx7eJZpFxDhMFlFllyvcFVPk9lKrITbA2rPLGjdVDaakxwlQIa3CdD4XPyPDBfzjuIXCzlAij+BB2YG/dPiYLAmGUBJSu9SExT91htExI77TwW7eghbWRwSXwiILwF0HEAwSrxnJkvbJmqMFOj/ihJJJUi0RogbaN2gDLA1qqE1Nsunib+ORI17v9aQIzy+j7hDXIvd/QUXySCKPdgAfoDcyB6H4n6rARXQCk5lzZzwDyAcnREBxZbv2OLuQMoe0e05ZunwmvFdyd0NLknWkeBlKP1t1TPYd2YsOpZ7h3+JPu2H2TfdjEqNWxGLMIWYP2Pm9i5fjedT2jHmoVi9Hr/yKe4/c1rueihs/ll+nKmvzmbj5/4ik+f/pozbzuFfzx0Fh6vu8w+lVJ0Or4dnY5vx471u/jsualMe30WU1/7joHnH8+5d42ieeemZdY55oQOHHNCBw7sPMjUV79jxltzKcgpxAybeFLdvH77ewBk1c+k26BOdB3Ume6DOyWVHgF0ObEjD31+Bw+f8QxmxMRmszH4whOY/NIMbnjpcgaedzwBX4CDuw5xYGc2B3Zms3/HQXas38W0177j6399y3GnHsvoW0bS5cSOKKUIG2fy4l2/ccsze1B5YzALngfD0ogaqfQ8/je69XLTZfA+fprsplXnXAh8R40MOOEUgF8gUMEXFvqZzAw4PjaOPBBbPhKGn358hC/fyKTb4E4o78WYpsmWFb/zy/TlLJmxHMKaF6cdJCt9Ir2GD6Hf6N68NeZNjhvkoGlbP0qZqMBs8F6Bzn8EpQOotJuZPzOL2edP5v115+Ky/SyAiH9K1S6y0lXwePngQEXvJavwWsgfU7V1Irsg/wFZVnnjXgRJStkbQ22hveoD/WUGO+Pp2PtaB+FgH3CdjMp4srzNVLl03v1yQ894GvJuhJTrUGm3lr98cDnkng/OEyH4PXguQaXfl/gZSoGJStkg41EBlApfQqU/YL3uhNQbZNASmA/uQULJdR4nPh3pj8m2Mp4QCmzRy+AZiirl61HlzxplHlVH2gPC2jDqo4u/QFUTSPmr5T1VrmhiT1TSpQNWh/pUmRk1aok8MLy14ll4eycwstCBhYlUfmWgPadC8cci/4GYb5NE1GqU61gat23Ig5/dzn0jnuS+UT/y9W8ubGwqq1uvqBxdBCwILEL9hUAKcEQgSrR06DcxR017IL49e3OhpPs+QadeW64fU8J2tCkDAHtb6VQHvgejgXjg5I0RGYFvCqYOkJCeFa3A96A86LwxYOYLuyW8FfPwXUn25hYDbAAdiC2j3ENRabej/d8BSij1NjElVH8BkELwF3m0zFXLLXsna/BVQdfXPQTyH0L7v0VZQIrWpsQfHyGQonUEAosESPacLpGq/lmQMrrqGwmtsSJST0TjkFl9Rw9LcmRJGuytZOY5vKXMwEvZW6BtLSQ9pqrfSWAeoGTgl3MhGGmQ+YEwsvLuAFKBQrC3Q4fWl1jRsJJO4gN05TpZfBqq6TXxV5Q2C6D4I8CPLhyHqvFi4gLBVYjUJn7cyj0CXfSagJYpF0hbWQHorJ0lGEju5Kwc5b0oDrYoT9KJOeUeYXl2/Gr5aiRvg5StHtrWWPofOpTIlHEPtQxEU0TG+WeAlPCuavmjEFxewrOllHTJ3tS6fncDRWj/XCue2EQ5ewtYFZgHaXcAVn9EnsW85GLbiqYXBSwPlWKLgWxJFpXnNPF2AgEtUs6JgwOlQRn3IMg3RN5TBSBFPMCcMSCidIm8Z5b1X0rZVDzXYPGkUi4kanx2+ZNIQSuS29nDMi5HvMfc+9AFT6DD20V6Gt4pcjD/FPCek7gN63NrWyvruzERUNC6ZqJySeVFh9fK+fHPjJn4/q/XUSDlaP1t1aR9YyZuf41Nv27hk6cns/jrJWhTowwVA1IACnOLWLNQ9IzhYBjTNHlk9LOMuHIw175wKX1H9WT/joN8NPZzPnt2Cgs+W8xNL19B75HHlrdrmnZozF3v3MAlj57LVy98w/Q35zD3ox/oPbI75959Op36tSvTQNRpUpsrn/4H/3jobOZ9vIils1Zy4/jLCfiCrJi7lhXz1rBs9mrmThS6a4NW9eg2qDMdj29Lq67NaNyuYWxW+LhTjuW2N69l3OWv8uK1EzjtBhlcd+4vDa/L44rJjUrWob25THvtO755fRY/TV1Ki2OacsbNI2jToyXjb6jF5Q/YSc/YAeauhMTiXrEQny0MOasaX5KzrzAr8m4gYhvMotnD+O69BWxeJm7jmbVg/IwNmHkvkL27GQd2HmLcFa+y5NsV5Ow7jFKKdr1bYXi6MuPDQwy7YDdNurWny+DBdOjblpkf3cT5N63j0H4vWbZvMGq9D4Xj0UVvoly96TuqJ589+zWrf4zQa3AndOSwaPqdPYTmam9fpcGMzntAZmayPipDkdRFb4HvM6jxSnJTzWTb830uSSPOgZB2d4UzbNr3HRSNA1VXbky+r9HuweUCApLkEwF9CGz1Ek3plAvTcpGHyJ+PfHWfgPZ/AfkPiPwp7YaKb4zmfgGEvDcJVd33CaTdUunMqnJ0RqecD8UfoT2j450Rz+lQNEFYKK4TUcqQJJbAXPmeo9GONV5EHxqFPnx70u+wKiXpFp6ElJqqlFI2tOcMKxGj6rR4+PvlPeVWxJL3GVb7EvxJZrXcQ4QG7Dkdit4FNLhHlLsZpQy0s78AnKVSDZT3cnTxxwIiQXx2NSphcQvw4vK4GDtlDGOGjmXuFzs56dyA0LorAPQSj8EhcozAov9THTvtn4EwDBLBOZVyGTr3YpENVcVjJLzFkvbUl+/T3iIuMzD/QNIYQgJOlk5/0NpaN13StUwrIi2y14rlLFXKTixGzdwPoWww89GB71G15wuYEh2cOPqKVDGy54jBz6qWDi4RkLokgyRZRaUm4VXAOckXMTKtuOCZ6NQ75HrS+YBZOWuxvAqvA30Y5TpB2CO2Jmj/15ZkNMnn0cGEAXks/tU1UGa0nccK8Om9EojEZHUAuIZC+GUwkgxu3UOh6K0qJypp/zzxBAmvQYctoCQwXySd+ZapcLSrFvipxJom+Oag00vEkrsGIJKGmVX2mvjLyjdJrmvXSeIpFLwEVdL/IbQEUFDCgFkSVlqifdNRKRdYiUhJ/FGsUjovdqoMo5z+guNYGezqYjAPJfiBxMrVX+Qg4d/LNZ2P79SSOkZ2gatX/GVbffGWiuwV5kcJaWa1K7KrTFJRRaWDCxHWWgScZddT7pOFHQRQ/B5EzXTt7VGuQeiCJ9HhnQLehEoazSbxinFb6UU4wBRT3Bgg4R4O+Y+BcokEJuUcdHgT4C7j9yJ+YMcmMjwqqtAqcHSogMl5IuACAkgUeykPMlc/OY7gInnun4NOezBpX1cHfxUAz1YXM7RSmGi2uiJJLnhCJEkp54K53fLUWowO706Ul0cjn1UqIttUoNLix29rItecSoXQOpTnHLSeJPeAaki6/n+to0DK0frbq23PVjzy5V3s/X0/k1+awYy35hAoDgJQp0lN8g8V4i+K0yUKc4sAmPHWXL57/3v6je7NyKuHcN2LlzH0khN56boJPHDq0/Qb3ZvrX7yM2o1qJt0vQJ3Gtbj2+Uu54IEzmfbqLCaPn87tAx6i2+DOjPngJmrWLzsD5U5xMeLKwYy4Mo7i17+yLiOuHIzWmu1rd8aAlfmfLGL6BInVdTjtNOvUmJZdmtGiSzNadm1Giy5N2bZqB5Nfmk795nWo1bD8YwUx07107HlccN9o5n28iK9ems64K18jo3Y6dqedd8edzK0vJ84ubFn5Oy/f9CbXPnsmbXvWpShnHz9Nm0ugcA8ZmT6y6oapWS9EzXph7PZSHIvgYkz/L6A1NmZzfP/Z9D3eQNnEGBgNNrvmhNPy6DNsNdoU74MbHzEwDIVhM1CsR6sU/nljHfqdcpgWzd9H69Np2r4R9e7/gP3r+mCzB1CRFezbtpF6dS9GF76IWfAK7dpvZdLqDdSo9TC6ALC1EOqsf4ZQHo36aPcwlHuEpLuUN4hKvRqdeyUqvKmsUWvaGPFMKf5AZtuqMBBTaXehVRq68HkoqgEZTyXc5LSZLzrxwNy4sZreD6E8dGixMGBUptyg7E1AZZHgiaCLkejglZj5pZgnZiHoXDGl/LM3MR20HvNQGe9W7gFi7pfP72iCdp8qngkFz6IyHq10Vyr1NrT/O0niyZokoIlyQOpN6Lw7ZWbPPdyi5CJyEYsmrexNRPaUd5uwWtLurP5nNQ9Z/i/VL+UZjS56FXxfQzXNGmNpLH+jvEfrCDr/AZTrBGHVRCxDuZjJ8BwZiFqJJ/J535LnlcSlSgzyFJkxL6H9V7YG1jUyVTplUQAr8Iu13gmxZb3pKTw5437GXZrNSecuJJz3CY7UW6oMigj4NicGvv23l9ZaPIOcvct6Mjh7ywx/8XvgOavycxCyEhvC2yFlNEb6IwCY+eOg+A3piAcWgLM3RqmZdh38FZ1zIarGcyjXiZiH75BUsdoLku7X9C+Gw5eCqoFRZ4G1jVXonLNlMJpyKRRNgsiG+DXmmwGpV1Xr/FS7gj+Ds0flwHJkiwwI/N+h0x8qP4HNPUzMhKNUftMyQz9SaU9gEaCEYagU2n0aFL2SlHmlAwvRuTdAzS/iEgNzL5g5KGtmWLkGoAv+aUUPk9iuRb0iooBXyc/lGoIuesMy3y5fBgWgI/sgvA6Veie66G0w6glzqXCc+Lt4TpeBLkhbHVwcPQAgBOSLcbHLimA2vFZiySx02v1/is317yytg+ii90RemvEMOnulyFCzJsV+A2Lm2S7Bg0kMjEeiC/+FGd4D4R2W/0U5+wksjj8Pb42l2JUspQyRnAQXAqFEP5DYMk606wRpP2zlt3Vaa7luAPCXZWy4hkr/BQS0LZEQVNXSZp70HezVYKQEFgorVBcmP37XySIXxQGh1cJQUV6RMLkGSbJPYK48j6YaQHLmpGsQYBMQ39wtrzktRoqRIew/69rVZr5lNNsq6cSYcg+NgTjCkinnnOiQ+JSknFvuMspIQTvaxtKIyjBSlMfyZZkDqbcKgBNaU0YqJFLMZXFpVnBl7HqJmvfqwKz4xJX7DPmd+qcl9GN0eBOoGnGmKg7QPrQWIFQMZzuWMJxtJouFNx8FUjgKpByt/6Kq37wu1794GRc9fDZjz3qOlfPXcWDnIWrUzeDsO0+j8HAR8z9ZxOED8cYzEoqwYNJiFkySm1SdprXpf2ZvugzoyMx357Fs1ioufew8Rt0wLGlscrTSs9K48IEzOfP2U5jx5hzevf8Trj/2bh6YdDud+7cvd73SpZSieeemNO/clNG3jiQSjrB78x9sXbmdrSu3s2XVdvF3eXd+wnqH/sgltUYKO9bvommHym9KTreTYZcP4uTLBrJy/lq+emk6P09bxoy3f8GbUYernrko1glYNn8H639NpUGHczA86aQ1hJOuvYpIJML2tbv45OnJLJi0mKz6GSidTb0mAZq1U7Tv6aHHCRtxp4SZ91Vd+p9aRFpGsQyyVAaz3p5Lcb4Pwwgz4qJD5B60s2l1G7J3H7KYKK1p17sVNruNSMF0Lr1rO5+92pSrHlhP9pZ3qN36Clwpacyc1IFL7hSt66ENV1LDkYrLCRS9hDJqsnd3Cz4YF+KGVyfg8MgNTJuFEJgns7rFH6GL3wWjIdozXAaK9k6JAwFnP0mSKP6oDJCijDQZzBeMFaZHFWmuKvVaICRmm8oO3mstv5G5Ft0yLB1c98lC1Qz/BkVvg1ZAxKLQr7JmRxUyS2MHDFAWoBVcEb/ZRktb7wXmAM5EAOaIyroNGJWbQurIPsANKh2Ver3Eifomob0XVT7gNjIEtMq7W/6izA5tgspE5z2MDq4VzbBKRxd/gC49K25vB0UTMMO7oRqdN+XobAEp1ZT1RNe3N0E7e6N9X4L32uqxHtzDLW+Cv1He45sicdL+78DRA23uBRziO6QjVsd0QAxIU/ZWaFtTiOxA21tVbCrnOh6h8i+Ia9etUqlXyTWCMIi0eVg8l4z6ZVhM6TXTuHnCs2TvG0Cterns2TiXRu0TvZ7KLadlShhY9H8CSCG8HiLbUd4rAdC+qcIISjlfri3vpei8e6TTW4k5pw4uk06wPoxyxsEpUm+VdBX/N5b54LdosyjRiDwYNbW0ZoaDS8F5bPnXd+SAPKq4dFY5u6CdfdBF76BS/oHKeESAldAKsLeX+OX/IJCiI/sh8jsqJTnDJKFC6y15z09WW1+OVM89FPIfsdJ7OoisB45c2hP4Aewd46kinlHoopdlAJt6deKyxZOAgLAya1h+EaE18hhNEnINgIJ/iiyr1HEp87AwH8IlpTbE1zfqSBJIJUAKlm+WtjUUcC3tHomnP3yTtCfuUy0gxS73vKhnivcqKHrV+txzUK643Eq5TxbAMwlA8LeVb6r4Q3j/KWBv6m0Sge2fIUCJDsrvJNnA2D1CBv2+T4FQUnAkViUlyf45kFrOsvYWFpCCmBInO0/29sB00BXoscObxT/HahvKpAm5h4rs1Kgv97WUS6rP5osl9lTtXizg3GYB5RydkjN57a0EYDELQR8Urx17WwHe7E3Q9jbowLxE/x9VJ6nRuJhH94Tg79FXEs6D8oyKS2wC38uxlQD4E8o1xAJxZoP9ivI/ZPg3wJ/caLZklfS/SZaK5xoivytbfcAmv6XSnivhrdLuO3pKO2j+gXJcGt+Geyi68IUYiKfcJ6J9PST0oGQ/JrxZGFbhdcSYMiCSyej9x97R6tea8T5oRefrf6iOAilH67+u0jJT+efshzgj61KK830c3p/Hh49+jsNpp9fI7oDix8m/ULtRTQ7uPpSw7oEdB/ny+W8AUIbCMAxeu+09Jv9rBne8eR1dB5aNRixZ7hQXo28ZSbdBnXjkzOe4c9AjXP3MRYy+deQRUcZtdhtNOzSmaYfGDLpAZtq11uTsO8zWldvZtGQLHz3+BWbEpCjfx/U9xnDdC5cx8uohVWNGKEW3QZ3pNqgzr976LpPHz+DzcdOwOexc8eQFAGz4eTMNW9cno1bijcZms9GySzPOvWsUCyYt5prnLqVDnzasXbSRtYs28tVbm/l9cyuuumcKw6/ojy3jZnT2aRBezaJ5d/DSnb9y38QHadenNZ+8eCGX3bMTV52rCXMsb475iAmP/kSdJju4+tmLOby7mFPPn8iZNx/L5tUHqdvwebJ3D6ZWo2Zs39qVvTu3UK9xmJadCli7GFp3b0t6+m+Q9Rl5wX1Mf/8Z+l+Qy7FDrXQCIxU8p4nO1cyHwBzRXxe9JzPptkboZCZsoeWY2WdCqVQjtAm40YdvE0+HkrNlKgOV/mBijHG0vDeCDovsI2pmZmsJ3stQriEWS0Y6C4rBkHptwurazAH/99K5DCwC/DL7otJB+yR1wVZfZlGNNJRFr9T+6aI1V07xiHD0EEf+I5jl05GDUPCEpPCknF/xwqGVopOPdj6MpmDuRB++Be29qdJrVuMWart/BiQMz00gAsXvID4OEYjkC/CUsFwURJoBAXup98qrCBqbRLNGo/uOoJRntPhIBGaj7a1A++U7KvPoEwmEvQM42gsI8zfKe7T2iaGvrSVEdqILnkHSeerLDGhwOZiH5HotWbZmENkBZuls9MRSRiba0UVYD6Voz8reCq3SQeehzUKRCkC54EDN+pnkhS4DXmPrTw+jHB1p2KpyKZWyN0HbGqODi/4aT44/Wdr3DWAH90lyXvIflevG2V8o1+5ToOA5AScqSzkJLpWBdKQowSPEMGyY3ouhaILMluMX8MATT6TQoZVgayrU9cgeMPeiHBUMEgJyb8XcHzPZBFDe6yw50peolAvQrpEQmA54ILy83Bn4f0tZkd04e1W4mI4clEjPlMshsg3t+7pczyNlZEmyiX8mOvW2P8VI0WaBtJveOGCi7E3Rjm7C5PJeFWc+mHmWZ40X/NPR4VtQ9saW0awj7rlgaymeOL6vreOKM1KEpeKE8IYysiqlDLR7iBiml0zVSXbc/rnCmPTPlPuP5xxLPnWMSDEzLJAHO/i/B4QprFIuQBdPlIkC3wx02n3x+4JrIOCw5D1/P5CitSn9BXt7kT2AxbT5AF3wnPjlhNYB/qRyJGVvgba3A/938kJF13honbVSLRkUl0gRTKjIHmJxxb4ZFnOq9H3OkrZG47STVTQlyt5K0tCM2gl3S2Vviba1BCISZVvaXLkqVd3o4yg718wGx6lJFxHG1slQ9Ia17B+JUeGuQVD0ptW/s5EssSdhe66T0MGx1n8aYUtZzFvXAFAZoP3iO2Nmo8pLQbI3su7js1HeCtrIqNFsZXInHbKe2CR2uHS5B0pMdfAXK01ndswbJr6vEv4oUeNdR4nflfskKHxBgDlbc5nM8oyy2HZrwdHZ8tj6DTyjJXXL1khkarjF48q6/yhHCcPZyHa0UQcdOprcA0eBlKP1X1qGYXD1Mxfx4rUT8NbwUnS4iDY9WrLhp83k7DuMzWHj4O5DXPjAmdRskMnUV2exfa1oIA2bIVGzpibgE+nCvm0HuGvwo9gcNjod345LHj2HTv3alzvwa965Ka/+vt65dQAAIABJREFU+jTPXvYKr9/xPht+2cztb15HSpon6fLVKaUUNetnUrN+Jr2Gd2PHhl0s+OwnnC4Hpmny0nUTWDprJbdPuJb0mmlV3u5xp/Zg8vgZ9BrejU+fnkyN2umMvnUk63/aTM9h5XdamndugtPtYPOvWxh0fj/qNavDkH/EUWYzPxNV/A5EzkDV+Cc692rCuU/QtEMnTjinDzabjW2/Hc/BP/aSkvkyNZt9w4OTbmfV9et49dZ3efxcoY82bdGWY3pPJth4DKnpT7Bw2tX0Pm8ydZrU48Pn6nH3+C3gPoct639j1U97uewejcp/gB4nDOG0yw+Tt+stdHH5gwrlGixeCaENEN4I4dIxzxFAiX9AlJmgPGLKC9YNZAtE9kFJ0CQ4D13gRtV4tuw+lZKZX1sdGUi7BouxVxVLGVmQMhqVMloc6gOLRUMcXA7mPhlchdaDLgCzAE0wcQO6WGatLVr1n0ryCS5GBxdXvhzIrGTJCv8GeTdXY/8O8F6K8l4vlG9tog+NBl2AqjVTKL0556NSb0KVktLo8BZ09mhwdkNlvlNpAoQOb5ckFHMPGN2rfIRlynUyqLHowzdWYyW7ONxjF5mWfyHK1ffPe9tUp4rek+SNrOclOaToNbC1jst6AnMAR2JnNVZKZlJdPSrchXKdgC58KWFwHS87EJFZW/+P8pK7fJPN9EaXY+5/nV4DD3HN0EcZ9/0TFcozY+UaAsUfVkq9/rtLa1OARFc/mTEtek9+39jRRa+iMp4UZlDKhXJOw1vKZXtFwQ+M2sIkKQUQK+8VMlAMLxfWl38aygJStNbS6bfkXASXyaOzgu86tIqYdCMwE1IutNbpDY6usi/P2aiMB9EHvoOwMCm0bzoq7eYjO2GVlA7+IgP9CpJ4gBhDQzk7ofUoSQyLZKNsyVlqyj1c/F7Cm+JAijoCRkpwMRCJR7lGt+8ZJbHwJZNA/N8BIVTGSwJOF7+DSn/YMpptG2eMxRLeLBZOSX+L8AbLeHiNxYJLHPQp11DxLiqRqlO6tFlkpWCdKhJa75VxBlnqXejci0QKKwdt/QGkoGx10O4R4p+lDyYM0JWRjnb1tdJ7xvz9fkaB+ZKkl/F8idQUG6Tdg869BIo+AGvwWN7vQrlHogvHyT+25DHxOryb2DlyDQf/h+UbaofWCOgf+R3ItbxXSv3+I9uQWN/FaO1DlfY+IsqCah2/NkIrwZGElVI0AYlL/zJmrlzlCkufuyoR8HJMCwX0Mw/F45uTlHKfhC563QI58oTBEn3PNVjeC/yMACnhpIyOWLmHQMHY2L/aPx/lEVNypZzWtfoZRKVX9rbJtmId11B04fgKY911aJW0E5WxdCLbEUAnYv0lToKJL0t3CMxBec5FF4wtA0jr4K9g1AFbY3TxJ4AjIVVIwDLLMysKGruHQ/5YYTs5Okssti6WPoFvsoC1EaQ/4J+NTn9E2p3otaHSBNi1t417q/yP11Eg5Wj919aIq4bwwaOfk7M3l25DOrNizhrOuu0Ujj25K7M/+J75n/7IxMe/JLNuBoMvPIHLnzifyeNnsHLeWrTW2J12mrRvyOH9eeTsE2puJBRh1ffruH3Awxg2gwYt63LSJSfSc3g3mnZohMMZN7H0Znh5+Mu7mPTMFN69/2N+X7OTh764k6btq3bTqGpd+MBZNOvYhD6n9eD+kU+Sf6iAn6ct5Zqud3LPhzfT5cSq3dza926FYTNo2bU5rhQnr9/xPlprDh/Io/1x5SP2doedVt1bsPHXLUnfV6k3i7dF3oOoWlPYtetkBo76jjqtTsFmk0Gst0YWE1+ox63P/mbFxA6hy4COvLr0n8x8ey6LvpxCWtPLQV1HvTozObhvGCecOpN/3XYPjToOYcrLKdwxviMuPuPc60vsPPgTdn7ihscBdqDzv6viWa2oiiT2Tz49Kv1tlKuPgG+5l0BoIyrzqxhV1Cx4VmZAQpfENOoJ50ep+IDiT5RSbkmucQ/CLHgOwltRNb9O9F7RQWEI6IIYrVdrv8zKBhaKYSRhMBrKjdDZF2wNKjVn1eZhyL1a3N5LpfAkLJd7pZi+RV3ztQ9yLgYcoByQ+RpKVWbmGkYXfyTn1DcF0u4B90hU6i3ow9eA7ytJhXANQRdNkIFZicGOsreC9IfQ+fdJJ7Ck1tcsEh+XyIHYozYPiPGiuRO0OmJDUmWkQObbYu6pPCJvKO9R+yG0Bh1aKx3joCXPOnwlGjfa0UE6JqrqQOkRlS6G4olgay70XvdQobJHfgdHR8urYzY4j4vHUkcr8rvMlPm/Qaffl7SzHivXACh8CYI/JHgvaB0WWrnREF30Lpg+wF7hbLQyMlDObrjUctp03sWYkx7j+QWPUqN2xeaYynsF2vepeOjUGFeVs/P3VGiFMD/cd6B1GF30vphMOjpIypH3WgGCUs6HwtfRRe+jMh5Lvq2g5Y9iHkS5LivztjIy0a6ThEGmwxD4AW3mCi3e3GdFXsp3oYNLQaWWO5AwI4dkUGNrDypkmWxKuydypOvk9+v/BuU5A+0ZLQMUo76wK1IrZ6wdUQV/AWfPyiN1o6ky9vYySCmaIF4B3rLnDRDTVix5TxREOBJGSmCRxeQodc27h0P+E8KMsQY/2jdVZA2uweA5DYq/wPTeIDPF7pEJqytnFyvOeQU6vEkADG2xCzxnARrtn1F29tzZSwZDgTnlp7UEf0SMZA8DNlTKxfH9unqjnSdYsiKvsDe1xVqzrh3lGY32fWJ9ptkJA3TlOhkduO/IGBD/5tJFb8q9slSSnnL1QbsGSSqPvSPYW5dvxhqVbqq08k3XQ0viz73ngf9DYYelXJB4PJED8rtMuRmKxXBV+6ah0m5L3F74N7lOIpvkeyjFrNLaJ21DyoUQXAM4RZKScmbi53QPFVDC3g5836DT7qncJy3heHeCUbNKMd5aW4bX9jYis43K1JKVvaOAM2YYyIuzPEDWU7WEqWJN3ZTHIgEkvUilxa/R4o/AE093U55R1rVqAWYVbAvXELnPBeZCStkIa0ASnpxdKmzrtA5KbHR0kiH4U1KJjHIPQRc8jY6CxP7ZMUmY1lqkNs6ewuIJrbDkUqW+P2df8H0U85ARMHOQ3NfTxsTBECMNtNUvNmrJbzjwnSUvPVHAvShbOrRWXiv+Jeaj8r9c/x1uT0fraCUppRQ3vSydgK0rtzPs8kF88cI3LPhsMXe/fyOvr3gWp8dB0B/i63/N4KFR/6Rhq3q8v/VfDLlIZle3rdrB4YP5dDmxI+fePYom7YXmqgwxS929eS/v3P8J13W/m5EpF3Jl59t44erXmT5hNr+v2YFpmpw35nSenvUg+dkF3NT7XhZ+8VO5x3wk1bxTE/7x4Fm07NKMf/38FI3bNkRriIQj3DX4Ud65/2PCoXCl2/GkemjZpSnfvTefDn3a0rl/eybc/SEAHfpUcHMA2vdqxW/LtiXdjzJSUBmPQGQrZsEbPHGl4veNGXTs9KHMiAKH/shh1S9t2LXVhW//U5iRfHFCL3yI4aeP5Yn3Z9O8wZ0i6wgto3azHkQi6Zx05g8snrIErRXbdj+Fqr0IVXsROmsBX7wjN/0lC45l3qwnOb9rB3bs/zi2zJH8kfmOfCjvzahac8HeDH34JkH6lRIduM5DF74W//zea2U2N/9puXn9FRXZD0adMlIdpZwoW02UvRnK0RblaIvh7IKRehVGzQ9RdRaj0h8DeyOZEcy7EXJGo3MvEV+SwueFdh01LzMPAEpMUFPOhdBP6PB2UCll/rTySAfIVjf2mjJqWnTtAOgc8E2JHVf5fx0xMp5CZX0mev2829E5F6GN+jKrXfgKWgdQaXeDDqALXyp7fjxngvtUdOFLmDkXYx4chrm/G/pAN3T2MHTuxei8u9CFz4Lvi7jpnn8S+mAfzNxr0IWvogM/ijSsiqWc3VEp56A8p0rkq6sfytkD5eiIsrdE2RqgjCx5dJ+MkXYHRtZ7qLpLwdZKKNDRDpjvSyh6/T/7V/weEJLZr6JXIP9hSBsDhCWVJbIVIjtQ7kRZj9Y+K+nhOOlc+SsBMO0dxG8lsCDxdTMbMGXm2zyIRKW2qLzj5RXa+y3P2zmw4yD3DnuCwsNFFa6ibHUg5WLwT0OHKqC8/82l/dMBl1DU/bPA3IPyXo7yXk2UlQIWW80zSlK+zJzk2woulW0BOMt2xAFUynmIdK4AiMS/yygVPApqhZZKQkt5gITPig91n4hynyJygci++PuuE8HeFl34hrBu0u4HbNZ19nvFMoQjLB3ZJ9dvZbHHIPG8tqYoI03AWEdndFQak6SUraZFqf8WHclB/Kiql/iltRYzS2ffMmC2MjKtWd9vBFCL7IXQEpTnNLkXea8AglD4sjD1koD4MugzIP9htFksUjxdjLJ3QHlGCJgb3pW4X+WQNts/V4DOZMcdmAekCmvFc3oZWasA6UEw0hNNa6OsG8cxoKyEo8C0xI27BwMOYcX8jaWDyyC0HOW9LGl7JPcfv0xOOMpPGRL2m4eEmMTS+wpEgRS7XHu2ZmLwXbosLxzl7htnzRYlXqOS4LQZnN2smPoZZbcT/BUICgsqslUGwYFFMtFQsuydBOhUhoBmgXnlfoakFalG9HFoJWKAbJfPlkzOYpVSSoBMvd9ad0mJ9wwrjrdEX6yytMVYv80m7ZZZHH/P0c36DArxDavAR83exkrcmp18N2Y+RLbGwOlyK/w7cr0EkSSrJN8hCHADqPBqaa8CJfYb2SVAuLOnADOhdSLzLl1Rg3vTF3tJeUaJf05gURxIiYIoZq4Aa67jQaWjfRKpLB41HYGwMKJsTeX4I9sr/qz/A/W/DSMdrf/6Ov70XrTp0YLNS7exaPIvjLxmKNPfmE1RXhH3fHQLD3x6Ow+N+icDz+tHZr0MJr80g19mLOe2N67htgnXMPHxL/n6XzNY9f06Vn2/jjY9WnL1sxexct5alny7AofTjifNQ35OAdrU7Fi3m53rdzPjrbkApKR5aHdcazoc14Zrxl3C5PEzeOyc5znztlO48ukLY3HG/66q3agmzy8cy9izx7F89mpadm3GJ09NZsW8tdw38Rbqt6hb4frXv3gZr9/xPm/c+QEOlx27w04oEKIor7jC9dr2as2XL05n+9pdtOpW1qxRuQag3SPQha8RLGpFdv79NGdsLI52//aDHH9aXbaurUHjlrvgYG/RU6pUcPZDObvKzFzQMtkteBpn+gg69JhKoyY/se7HmuzblkPbHqIBt9ng7HufZPeva2jTcRXP3NGC3INOfpi8jeZdKpYZVFTKVgfT0V2SRFKvR9WYgM45G517lZWS0EGibos/QKdcgLI3lpn6tJvFx8Bi2/zHy9wvgEU1Sxk1IOVcYXRE9gld1dwrz839IlsKrkTr3PI3kndTxRId3yS0b1I5732MGfjemr2owuyzShM6dGg55JwGKgt0jnjx2OqLZME3CTO8qewgRkeks27mWB2cfiijrsisYo91UEYqZnAD5IwCvOAcINKhQNzwWdtaWAyR8j0DqlPK1sTyPhAgTClDtMmF41DeS/7jcbAAOrwNnT0SUs7FSH8EXfylmChGrEF5cCm6eLI8L502Ed4GaDlXwaVC+67AnDIegzw/MQY5YnWEnX1kAG/ul8jwSkq5TkCrFLyeTTw6+R0eOHU8j50zjiem31dhm6u8V6GLP0UXvoDKnFDpfv7q0joM/m9lIKu86OJ35LfiGiQx2ynnizzJe62Apd7/x955h0lRbV/7PdW5pyfPEARRMIGgCIKggIoCiiiImLNiziDmhIgoihcVA6Io5hwwXJQgAooiiCRJoqjkyamnc53vj13dPT3TM2C63/X+2M/T0z3dFU6dqjp19tprr30hOvAW1L4BvqsabjDyndxDKqdxZ8LZUxyFeEnVwDso75no8DLAJeCHWQ7RDShfet0CQNoNkppguKHmUUlRsnR/hJVyBbpyBIRmYbiPw3SfIKwPBEBSdWjnf4mFv7GOcedACtEfUqLgyn0yuvo+dGQtytE+7SpSvWe0ABRG7h8Q4/xZBCBdV6T9WcQuZ0vUN7JOvnTLOVD2fdGufhC07tF0EXxdJWNdbLNc83EHztFeIsfVD8l5qydoq9z90MEPZdytpy2jdQyCc8UBi61Pr+tk3x8ByYok4l0rAZu40yY6F4Mg8CrENqGjv6IsfSpl5KK9Z8t17r0A1YS+xd9p2v+c3DeeU9P+ruztpIRscEaTYIHWJsLeiaKjv6RP7Y2nzBr5Vt/0Ez03sypFJFVHViCaHwdK+mPtFGBbasU3cxvoGpSjg4jc176NNmtSWCE69CXgQtv3AV0OzhMg8KMwBuuwb6Qt/WV8MZrJOF+PndOkRTelloRuwgRkt0OsuOkKi/G2uY+TIgLYQVdjhr/DiO+rPjOsCW0aCX7FmRatwfxVxGqtogN1q2gJK6WOhkr9NimFdvWX+aFZ3ZDFmRCF3onQbPSn5GdHFyuFZkwDNolKiOvOSVRZSqSExdmIjm6Syk4otWR33OJC2dEfkt+5jgSVI/2rcoT9E90AeIQp4+prpT31lwpn5j3CyHV0lDEDDfFnfGR906lV/wdsNyNlt/1Xm1KKiQvGcuy5R1JT7uffz86my7EHseDdRdw1+EEO6duRc+4cxtw3vmTPA1rx6Fdj8fjc3H7COB694hmGjRjE+2XTGPnsFeTvkcv6JT8x5aaXWf3NenoM6kr7nvtRU+HHMAwO6L4PLds1S4DXLo+T9j32paKoktfuf5fx509i/ZKfyMzz8e7Ej7n0oBv5be2Wv/yYM7K83P/xbQy48Gh+WvYLBx91IJvWbuGKLjfxyZRZmGbjkY9OvTvwxKIHeWrJeAZc0DfBMLnp2Ht5/s7X8Vemj+q2P0wGwjWLfmx02zrjVgJ+uHlSMd0HnSTMh8j3mGXDeeC1BVx+22scPWQHoaAiFnNB7vOoZoswch9HZVyMkfc8qnCeRI2JCpiBwXXjt9HtmCpmvphayUgpRevOd5FTEKVly69xeZ18+d6i39eZaUx5zxEUPbwQZW+NypkMsWJ0+VXChPDdAMqOrpmQXMlzBtjaoasfForq322xPwak1DVla4HynoLyXY2RfR9G7hSMgukYzRehmq9CFcxB5b2Gyp6Iyn4Qlf0guC1n2XtB4rvEbxmWLor33NTvsx4Uqq2xp9Ckza1WxYC4AGv9V631CgIhMHIsRkOBsFpQlsipH2yFgM1Sp6+3HSIC1pgVqOyxGFl3onyXojxDUK6eKHu7xORSaWsygR/lPgajcAaq2Xeo3BdQvhFg31t0aULz/oLXF1LuuGZS6gmJ06+Dn/6p87qrpqsngHKj4ufNM0RAq8Cz1hIxSb1wHIyqf61ZFTiUYz+UZxiEF6Hj+fCNmHIdJakfdWnY8XLZthYkmBONUeTrbkvZwDUAMOlyxDqun3w5S2evZPLIF5tez8hCZVwq5yC8eKf7+Y9b+FvRB/AMkglpZAUq48KkIHXGZYADXfOk/G/fF5x90LWvStSxjsXBD3Q1uPo06pgoZaA8pwqbDCdEVmBGt8l5cnQUhkJ4qSzciA6ENv3WZN0u14R9b7B3stg1dcx9vETbayZLCl1dfaPAB5bT+deZDn8LKjspwtrYcmYlxDaj6uqoeAYBDrT/ucaZhq7+gJL74Y9U7AlZgp/O3ul/d/UFlY0OTBdgw9ElRd9HZVwGOgDY0jsrZpmAF95zxbkLzUVEafcV0WJHZ3Two4bH5+wDOBthRSwT59vcYml+pXFSY7+RSIWofTX5fZ0xQnkGJz7r4MyU1ZXvalA+dPX49P3yN5uO/mSlZ5yTLMuezmxWn1tVdNKauQ2wmD1pmAU6tlXSdSCZXuHqL+uE6m03sgLs+0uabx3wS8SpLYszCOz7odwnACF07Svo2neTy4S/lJSPeAly19HCqk3DpJC2hMX5Dy2Q6i+7YJJmvG3XGSmh+bIP85cm9VES5jgEcVEtgKjm8To7jweCFKg9mkwtEvFlDXgRTRWgPhvKHQeQTWFhNWHK3R/RiJrX8MeE0GwTaUuAjm6QtoOk8OnqxvfrOhbCi9FxsNi6Z3VksQWg71un+loaICW6QnRpwl9LtUssZnPmjQJEhxeKPkpklVXxLpoAlpXnDNA1SZakoxOJa92UtD+9WydlN5Cy2/77zelycOtL13LhfWeiTc33c1aSmefj+9kruLn/GIZcO5DuA7vw5HVTCVQHeHrpw5x9+ynMeWUBl3YaycLpixk4/Fje2DyF4Q9ITnfzNoWs+eZHVs5fgzIUBa3y+Gn5r2z7uYjOR3ekw+H7EwqEWTp7JdrUPL30IcbPupsLx5xJ+x774fa62Lx+K8MPvIFbBoxh6ZyVTQIcv9fsDjujpl7FeXefxop5q9n7oDa067wXj14xhZFH3c0vP2xqcv39urbjin9dgGEYHHzUgShD8fq49zij5WU8Mvwp1n77Y8rkqkXbZmQXZLLu2/Q6KQDz3tnAs2Na0L5LKSo0XZwBz9kQXsqWn52sXnkGYd8MHhnREZutFhX9uSGd2dYSI+tO8FqK9Y5DsNtj3P/KRi67/Q1+nHcG1b9eh1lxK2blrejAe6Byuer+Eq4Z9yOnDP+SknVXYFbeupPX7RbtPY25j5M0hNpXpE3OziIkG1kqJUeNZlLZITgDHf5ellF2VOYtQlGvfX1np+9PmdZaHFDjzwEpTZlSTmHbOLuhPINQnlPklX2/VGsJfwXuIYnvA9GBlOwQwTflOTm5vOcUDO8pqIwLwdwkGiIZV4MuBVshKu8ljPw3ULnPobznClgSWWvleLdCZQxH5U3DKHgHo9lCVP4H1mTTFN2H7H9Jv+tqlO8qjPw3Ei+V9xq4h4JZgq4e1/QBm1Z1L6NlwnFSRibK1QvluxIjdzJGs7kYzb780y9V+KW0y/8kOpgEB5W9Ddg7ov8DQIoOLxaRuozLkpVVlB2VeYNVFQKZPOpKsDWMCOvoj4BD2BKeoYBCB95veqeJMsh1nANrUq5VM8uZUBB8b9dS5DIsJzzwCsdf1JdTR57E9Cc/5aPJM3ey3nkSXa1+5D+XireLpoMfS5656yi0/3kBAdxDE78rW4HoGgQ/Qkd/lu8yLpL0mPqgRVwclhBqZyUoPacARrKSRPU4mTjH9VEi3yFChY04OOEvAVOctzjo4xlkpY78mmy/sonzH/0BwgusFJqDAQVmsWhO/JUW/sbSCNjJVDae6lVXiNHIEyHW4IdJsdB6pmyFktYR2/4H9VGsahn29LpqSjkFYA1+BtF1KHcqI0g5OwvjCAPS8QTNUmE5+G4EWyvRULC1TYrSes4UzZR4RbnEsWfI/Rqc1eAekbQeA7Q/UZ67gUXXyrv7BEtPxbJQnbHN0TmZ3lNv7FBGjoAp4QWp48V/yLR/KuDaeYWv6A+gcsUJjYNiDZax2AX2A9KnaISTaSmJ9DtHZ0nLqZOqIeLPKxP3oGFkJecANS8IUwggYgW77PuBo6sIsda+gq66HR0rkhSx6AapthKV+Zxy7CcpVaG5DQBZnIfKedJRpFLQdHbJYlsBE2XfOZCiYzvkmrG3A/ROgQZZqVbaQ43cA+HFmGY02U84rG3tJK0nZKUyOg4FcyNgyFwvkgwaJlO7VGr6TDpzHAJGYdrldGQ52NqlLcWcYrGfhK2NWyq0qeyGoHS8Re5+gImKbZRgXny/4cVWqXpDqq8ZzRuIF2ttWuN8FyAsjKT4dr1nyDxXVwlYG12drP5lAdPKeYg8O/wvCPgTHz9VtpxP214yvvwft91Aym77x9g5dwzjjJuHAOBw2dEa1n37Ezf0uoMrHrmANh1aM/qUh/l5+S9cNPYsnvz2QXJb5HDvsAmMPfNflBdVcsbNQzj23D78vOJXRj1/FRPnj2HYDSfi8rqIhgVpXblgDWu+Xs+eB+xB/h65bFz5G1d0uZnPps3ltJsHM+6T25le9RK3v34DGdlels5eyS39x3D+Plfz8pi3Kfqt+C85XqUU548+nRunXsXab37EX1nLsBtO5Lc1wk6ZevtrhAKhRtdfv+QnYtEYp904mKeXjMeT6cbusjP3za+4tuftXNPjNma++AXhYBilFAccti9rv03PSInFYrxy3zusXd4ZHF1FAMssQ2Xdw6r1r3HXee0IcSpu3z50OPIiln3pI1I+qWFObvzYMq+yxMTKwX0mWkM4ZMeXsYqa4jmUbPw3VdtmEaqcj6k1NluQo4ZE6NyrhmjNl0SqF4hqe2Ov4EzR3fBPbTBRVMopDJPQXEtNXyjcyjdKRBFrHpcJpFGIrn4gub7raHD2RNc88bt0NX636RrJc/+TjJQ/Yko5UJkjZQJm6QeYpsmdJz3Amw9MloXSATyekwEbBN/DyLwelXm7VGYoGYpZdim6qCe6cqQIbXqHyQQ8tABdcTW66HDMipHo4Gein5H/kTj35lZ0yQB0zVTAgS6/ErPoeMzigZjFA9FFPaH2OUBD4D3MoiMTv9V/6ar7pZ06BJHl6OJjGi5XeiY6uvEv6EOFyr4X7AeiK0elOpru42X/sb+eyRY3rbVEeo3mkHFh6o+u4wQoBBErBIgsaji5jm4Ae1u5HmwtJKIeeC85mU9jysiRSWYdx0ibOwCHpZUSFpAuagkk7sQMR1vJo49twoxu45Lx59BjUFeeuHYq33++svF2KA/Kd40wPurtR5tVaP8LUpL2P2xah0UTxdVPAKbQbPCe1SAirnyXgnInWCk4e4F9P7R/WspYJkCxAdiSpVsbMWVrLuNX7FfAY5UvDydFf8NLwHEQSrnStz2e1uPsk/zSfYK813cePYMFsKyR8UJ5ziYBAtQ8hln92F/CTNGxLcIyiVcdasqicaHZ1NQi5RsBnrPAPyVFFytlGc/JQJwF9zvap0Pi7Lj6NLmcbD8MGOA5od42YqDDQAQCHzVc2SwDIw9lZKCyxgIBUuqReoaCs4c8r+vq2WAxEczCVpOGAAAgAElEQVQtDbVrAnMQUK0rqpG0DdEgskPmTXW3CLGNif0oZYiTCBDbIOWn65r3HNGbqB7fqFbL32E6tkPAAu+wxgVksZzQ8BJLaHNP6cN0458FVuA+EaLrUxx0sFhT8ZNiifsqZQjTIDRfrhOw9G2qpJJK3DxWVSZKrXsWYQAYzUWUWxkCxJlFgBZALs5scPYR5o3KAKOlnG9d04AFo5Rd2mVpJOnALgLdv6f0cQKEsgTLdwVIiYN1REXLhShUXCwabmYpiTFlZwBnHMjyXSLrWJWVdMV1Sa2UBBigIfBZk9dj2nNHHAhbvvO0HrDANwfY22EYbhGBD81J2V7C7J3AaC7lyN0DIbwIM/QdxH5LluSOLEvPRoltlHPuOgaMvAbMsAQTJ/JNkvmGw2KmWMfruwmUB101Bm3sbV1PmRZAs7tyD+wGUnbbP8wuHnc2x57bh7JtFfQ//yg8PjdbN+zg2p63cdlD55HbPIfbTxjHr2s2s2+Xtjyx6AEuvO9MFn6wmEs6jmDuG19x/dOX0a7zXow/fxK5LXK4dPy5PL/6UV5Y9ziXTzifjkeI8vzm9dso3VpOTmEWDpedz19dwNDcC5n+5AwMw6DvGb149Zen6HmiTDZCwQgvjX6Lc9tezW0DxzLvrYWEQ38+DeT4i/oy9uPbKPqthHcf/ZhATZDswizeePB9LjzgehZ/+n3a9VZ/LQNch5770fagvRj3ye1EQhH2PKAVlz18HkF/kIcvepKz9ryC5259hT0PaMVva7bgr2qopzLvzYVsWruFc+46HZU9FrQfXTUOpRRFvwrNsvne4qANunwA70zZF7u9EmrTU/GV8qCyRstAb8ujpsqLzWbDKJzD0qWP8tTY87igR0cGt23N4L3bUrzNR01VNiOG9mJ4n4M5tX1blnw3EaPZF2lfqvALcB0jk7SK6xOUxsT+vWcChpQXDc6Rl62dOCT+p9A1E8XpjCxDVz8kD7HQ5/JA0hXoiluT68Vf9fbxh81Kh/g7GSlNmus4cBwsfaODfDJlNivnryG/eYRYTKFVw1K0ytZM8m4DH6ADH6DDVmnC2I8SsfScjMp7FVW4gN82Xcz2kmtRzb5C5b4g1ShCX4rob1FP0Vjwnib6HMongnNGHhABwwOO/UG5kGowLZDHmLJE0trK7/VfRrYs4+hKonxr/WWiP6Irb/9LnDyl3KicSYCBrrgmOWH7T6T3BP8tKSO+EQ0q7SilwN7BWu4DS19hU51SppZFf0xJJVDeU4XGHW5aaFu5joLoqqTTFNsuOjdxnQfvuWDsgfY/s2vHEq9q4Z+MzWbjtlevp037Vtx32iNs/rF+efM65hkGtr0kp9w6n9qsRZdfJuBo+eVS7eo/aaGvxFHyDELXTgPswtKqZ1IS/RwRIY1uEGDOe4E4vOE6qY2RJaDc4Oi88wgooDynC7PF2YuEE+I4RISFI6sa1TrQOpIApJQzWT5c2VqC49AGkVSlnCKUGlkizCj38TL5dhwOOISpVXIyOvQn0zTj69fT+Eh7DJHVVsQ2dexSSkl5YfcQdM1EqaBU3zxDEZHKdY0GBtJaeAkQbFD2uEHb7J1l+yqroWMf/RlJf9wD7Z+SMjZpHRN6fSKKbEXmoz+iw8ut4zNQWfeLfkfVPakOsvsYwEhJ99DRX8GUfTao9pPSLmEXKGwkHVqrnHowmYaiPMlKQ/WZeJJecJOMNXEh4/+A6Vopaay8abRf6lp0ndyvrsOtdq5P204BK3JRFuurASsl/C3xPjLqsDeU+3hEyNtaPqGvUYcVVucc6KrxltDsj6mVZRzJdDwd/BQdXiBguX0/AXlsbS3x1t5ga432P90wuOTqL+kljs6i61M3PbMxi8VLH+8CIyU8X9oU22YJPufsfPsRC0hR2cJIMZoLA60sXukonmKyk3lXdAPgEsDV1lrmDpgQ+xldbVVDS4ABBlBtifU2bsrdT85dvGQySBlhs0xYZE2Y1lERm9WhxDNWuQdZ22uYLqSUEqAr/KU817BDPG3Y2U2etbHN6SvhRaRaoHIeYoE/X6QETVTMAv3iwr+xbWDfJ8Fo0zoA0bUSXAt/gwrNkPmDjlpz971EA+n3jIv/g7ZbbHa3/aPMMAxufO5KyrdX8PlrX3Lba9cz782vWPDuIm4beD/tOu9FdXkNtwy4j8e+HEvzvQo5545h9B56GBOGP80D5zzGsef24Y7Xb+D6Xncy+pSHeXzh/Xh8Hlrv15JTR57EqSNPYuPKX3l13HvMe2shlSXVaK1xup1EghGeuPZ53nr4Q25/7Xo6HtGeez+4mTfHT2faXa/Tar8WdO3XmW8+XsLYMyeSmeej99AeHHZCF7ocexAZWb9P9T9u3QZ05s2tU1gxfw3ffbaM72atoGxbOSWbS7n9hHG0aNuM00YN5qjTDie7QCbVa75ZT6v9Wib+79S7A3e+OZLRpzxMZp6P8TPvYtO6rUx/8lPenvChRLI1fPLMLE4bNTiRcx9no+zdaU/6DOuBMgx0xmUyIQ4NZfsvRQA0ayNq526vi24nXMBXM36m54Ap2L1nSYWCeqZcR6LdA8H/HD8sPYqefWeB60EGntWKgWeBjnWkZGsZ238uonirhwMP3cKld/gp3uLAMAx+XngN1ZsKaNamAG+mB0+mB2+WB2+mG7vTSktwHgahT9HFX4twVt122NpAcDo6mIbKWtexrJ2Krp2a+nt4NjpcL7/caInOGI4ivVbBrlqc0q8jywUc+DNm+MB9QqOR5nSmlILMm9Fl51KzdTLP3bKUrv0OovfJbsp2lLJs1gKOu7ChYKjyDEOH5qIrbxaAw3uepPLUPC5MFN+1LPlsOaNPeRiHy8H4WXdzQLdeKFcvdNZo0eEIfipR++C/kSheBuC1wCWbTG6VUyLMtjai6WIWidYHIYhtlUlJPdPRzaC8KGcXtPZD5GswWqVcl1oDoRnoimvSR3fi5jo8fQWN+v1h3xNy/oUuvwRddRdkT7DE4yS9p0lH5Q+a1mFJU7AfIJooac0EvDJh9l4oE6GaJ8B9opSKNGtlYuapUyrTdSyoHBEqbcoxdB0JNROtMsinyLmxNU9OEN1DUGh09Vh0eHEyotaIKe85AmoGP0FnjSYjy8uY6bdwTY/buHvwgzz+9Th8ORkN11MO8F0vLKjgx2j38eiKayVy5z0bal9HV4yAnEn/sdKNOviJ9KG9I1RcD56TGlRDSbQ/Yzi69jV0zROonEeF5VH9CLp2GsrVU85R5AcgtvO0nri5jrTYSNak19ZKzndoEZIX34iId/hbi2ZPg2ircg9CV49BR9anioZ6Twf/0+iayRh5U9HukyS9wzscap+B2C/o8vPQrmNRmTej6kRAd9V0eJGlEbALYqVNlNpVyoDsB9A6gK6+X8YJ72l19rMc0QOpRfufRmWO2rX2heYjzI6mgR4V/U6E2XVFUkgybnHnOuM8qB5viZ33t3ZQCZjJMSzOLDFypTR8/vtWCmcbyByBrn4Agh+DxxKzNfLQjq7CjMq8XjYZFJF9bK3lnm/MImtE4LcusBoXyqx9B+IpQY4ukhqjy6H2bTmOuuYaIGBczWMy/uxCGd0/Y9qskdRc93EpWjRpLe5MO7sLSOToarVzUGo7oz+JJo2tEO08DIL/RvuuE2HS2PYk4EA9IXPnERbT7HlwnyxCs8qTAmAbhhfTc66UrzW3oms/EGDAe3idg7LuTZUHkcUQzQR3f9l/9CcR+sYaEzOuRFfdAeF5wrSJm6sXKC+Y1cI+8E8Bx+NNjo1SDcqVZDg2tpyOCojsHiDMlEZ0mBpuf43c3+7+Mh8oXADlw2UuUddiP6XfABYLUFdIuo1SIt5c+4o8H2PbIPAu2tlDWD621mDbB8Lz0MEZKNfhjW4XZ09QPnRoFsptzYUS+ig7YaTENiGCtpGk/pCzh7BOaiaB66gG8zXl6o+ufQ0VXS/FEAJvAx5h2MVF89NUCpJrKkPANPcAdODtZDljLHYTDksM/n2IrQdnnfve/5LMJ/I/Fk2s6geFUZkA2qx2RjfATgCk/2VT/205xH+HdevWTS9Z0ohewm77R5q/qpYbj76HLT9u45Ev7qXo12Iev/o5yndUJpZx+1xc8cgFHH1GLzKyvMRiMV67/z1eGv0WHXruxynXD+KBcx6jz6k9ueP1EWnF+jat28LrD7zPnFfmozWWtoJCm3LfdDn2IO56awSZuZksnbOScWdNJBKKcuPzV+LN9PLZtLl8+8lSaqsD2Ow2OvVuT/fju3DYwEPYu1Ob318FoI4Vby5l0Sff8cGkGfy6enPi+wMO25deJx/GO498SI9Bh3LztGtS1pv10jwmDH8Km81gwAVHc/rNQ7A7bLwz8RPef0yii3sesAeDrzqeI0/rybLPV/HAuY9z11sjOfJUebhoHZLKKsR4/I7BfP3JKt7ckqySEQqEuL3/RYx/awmGbzhG1i1pj0HHdqBLBlK8vRWrFm7nqCEBDCN9n2hCoBWRkJKIiiJt2jgASkA3w2Zg2EARZwY5SBLxNJJu0Aq8FyVozNr0Q9WtEu3zXixlZAk33Mc/xWxtUdljd+q01jez7FIC5V9zyZGd+NeCx2iefQu//LCOm4Z14Pk1jyYAurhpHYPAe1bu9sEJ3QId+gZdcSXBgJer+zfDlbkv/go/NRW1PDT7bvbr2q7edqIQ/lai2bpaJnfRdZajUKeMITb+/5wXAzIuQfmua6CyD7D4s2Us/OBbLptwPp4MN7rmaamokXknKuN8dM0UdM0EVOHcv7x6j/Y/j65+UER0Xb3SLmOWnABaInJ4zpJKNyUDwX0MRs5j6MhKdOkwVM4klPu45HpVY6H2dWESNRJR1NpEF/cBZ3eMnEcxi48TRzc0G4wcjGZfi8Na3BfsnTDyntvpMZmlpwsAkvcGhsWIWDF/Nbf0H0Pnvp24/+PbsNkbluzV2kSXDhVqs/1ACH2GyhqL8p4u4q1V94LnFFTWA39qHN4V0zqALjpCnDBbK7ke8j9COYT9qAOfgA4I8yd+3NUTwT/ZWm5/zOrHwP+UaMc4DoEKEaNU+e+mpgM0YWb1v8A/BewHgy5DFXwE/uclnbHZtygju+E6VaOh9k0wWmA0SxUE17ESdHFvyLgUI/PG1N9qnpEqVfnviSZVxXUyATdaiF6O6ziJsuqQpDj5rm4y1SK1P7VcQ46DMHInNb2sWYsu6goZV2FkXtfENsPo8ish/CUq+5FEVQ+z/AYI/Vsc3OivqIKPUPZ2jW4nbmbJIDAKMfKmNb1c5Z0Q+BAIonw3SWpX/LeqeyXFsnARlA6UykF5b1tO8gZ0yQmiI+U5MdHfZD8KlTdAxtUYcYBEx9BlZ0H0F1TBjAQzR/tfQFc/gCqYjbK3wSwZLBHorPtEQyFtf5ahi3qiMm9BR9ZDcDqJ0r8qU8bs/I8xLGDNrBwjQABKBL7rgSU6sgJdeipkXIGROXKn/fpnTPunoqvH79I9Y5ZfC5FViWteh5ejy06DjCsxMkfId1qjiw4D90CM7DFSMazqblT+B1IBMPAhutIC3ow2GM1Sgy+69j101a2o3KkCZmNg5KdqsGkdRO84HAFAhU2psh+0GDBgVo62HOsk+1ll/0t0mIoORflGoSzhWq0j6JLjrOvonZRxz6y4XsAj73kChrv6ihB9I2K8ZvlVEPsFo6CR0r3x9oeXoMvOhqwxUHU3KvN20VTbiZmlw0BloDIuQZdfgsp5BlxHS0pvvaqDqnCeMOTqbyM0H8ovAffJGDkPocOL0WXngPcSSQu27SUsPZUPjv1R7pPQlTeAykE1+6ZJ7SWzYqQULCj8CqVsmFXj5PnYfGkDbcCU/gjOQldcLe3OedISrwUdmifVI70XYmTdnrqODstxu49HZVyGLhkAttYYhZ9jVj8M/mnWflMBGOlDL0beyynbMLJFU84sG24dv1tSCKOrhV1VOANl5GGWnS9MlMy7wNkZXXqapPnGtVYyLgX/s4nn6j/VlFLfaa3/cDnQ3UDKbvvHWum2cq4/4g5CgTCPL7yflu2as+yLH3hm1ItsWJrUOjBsiq79DuaIwd05fHA31izawEPnTyIzz0evoYfxwaQZXPbQeZw2anCj+9q2cQdvjp/OZy98TixqplAjDbvBuXedxrl3DqN4cyn3nfYIa7/dwOk3DeHi+89Ca80PC9exeMb3LP50GT+vEM2Ewtb5dDvuELoP7ELXfn+crQLwy+pNPHT+JH5cuhGn20E4KA/V3BY5nDD8WHoNPYx9u7RNPDi3/byDtx6ezmfTviAWiXLk6Udw5i0nM+bUCWRkZ2CzG6y1hGdtDhvuDBcXjz2bTr3bs1fH1thsNnGQy8/nuwVtWbesgHPuHJbSpiWfLcelpnNg9xBG9s1pJ+kAOrQQgh/y8Yt5/Lgqm5OuGMB+XVMjlLFojJKf3qVZi6VMubclPyw9mA3LS0BropEY/c49kuOH96V0awUlm0vZ9vMOlsxczvaNRSil6DmoNdeOXUl+s1/Be6FQdbGLTkr1g1LFx3kkKus2lH0fdHSTTJqUD3KnJSYT2iyXaFztyxIZiU8c65rzSImiOHvsEuW+QX/4XwD/M1A4P62j/rssssoq37lZnObMUQ1K9hVtKiEzNwOPLzUNZNH01zm0+z38tK4vB/R9BrP4eGprW3Hqfn6OPbcPNz1/9S43Y8m/X2afvccBDpwtXqS6qhWj+o6mtqqWh2bfk7bkdn0zQwtkUoQmYpzFozflM+/NeTTfK5+Rz11Jxy5LoWY84IaCmShb8nrTpWeDkY3KFR0EXTlaxDsLZ6ayUqKboXSYMJlyHm/oYOuAVMMJvCPVFbLHo+pEupfMXM7dgx8kEo7Std9B3PfhraLnVHE1hOah8l6UyFNJP1TmLX8pK0WblejifuA4GCNvavpltBan0iiQiBwuVLPPofZVdM2jkmpl7kBX3ooq+DTFYdSR1ejSk1GZdzUp0mhW3iqVBQq/huLuMvEKzQTXAIzcJ2RbcXDJcjiaMjP4OVRcAUahOLGWsz1j6hz+delkTr52IFc/lp6mbwa/SAIO9fpb10ySCKC3caD3z5hoLCwScUAdhcAbkPs8VN4C9gMw8p6X5UJfossvAUxU7jSUS/ROtFmBLj4GnL0xch9HmzXoqnuknLDKECo4OajmTU/4U9oU/Q1d0k+YXMHpwgjQ1WCWYhQ01OAQYOwoAZXdAzByGoqymuXXQGguKu9FVJ1oszZrZF3nERi5k6Q/gtPR1Q9bmjk2yH5CJuWBN4UJ4rsqJVWh0eOI7YDKa8A7fKflWnV0HVTdCb6bUDtJA9I6BNX3C3DrG4VydkeXXQj4wdEbosvAcQgqd2qT4JuObUcXH7nTe1ycmyMs/ZpNoP0CnFnbNktPA1wY+a8IQ6lqNCr3ZZSrBzq0CF1+Hir3RZTrcHGEIyvFuaq4GYIfo/LfSdxfArwMAXc/jJzHrO82oUuORWXeCp5h6KLuoDwCqjWmlxNaiC6/EHJesAIOxUA22HKsa6kEcEDu8xiuHknnFSDzPoyMhgCNWXEjBGeiCmemdYj/CtM6LPeTvR1G3ks7WVajiw8HZx+MnIcbtjP3WXlGmGXo4iNQmXegMi6wQKZekHExRuZNFkj2PhAB10CM3MfSt8nWNsGWM7Jua9AeM/ABVN6c/CLvVQwrMGKWnCRsFHObxX4xUc2+gehv6LLTUTlPo9xJloGufRtddQcqdwqqDitFBz5GV45E5b0O0XXoqjFgP1CWsxU0bFPJSWBrhZE7ucm+FEB4CmQ9BFU3ovLeSEkRTGdax9A7uoD3TFTmKHTR4cKyyboHvSMujluSWF5l3o3KaJgmKf3/FmQ/huEZKNst7i0C0uZ2iG4BwsLu8l6KyrwWveMwIAhZD6M8JzQKiujgDHTF9ZKy7OyOWXoGoDDy32j62Gomo2v+Je0u+CyFjWdWjYHaV9IGQuLADfmfQPHhgBPV7Bt0+WVABCM/VVBa67D0YcaFGJaWkVkxEkJfSTBE2TGL+sh1HJwpY1DoM4RF1wlyJ0NRb+TaPRYj92nMyntkrMYUppmzp7CbPKdKEYl/qO0GUnbBdgMp/7v229ot3ND7TrLyM3nsq7GJKPnqb9Yz6ern2PD9RpSh8OVkUF0muZTtDt6Ltge1YcnM5QRqAuxz8N6sW7yBB2feRZdjmo5SFG8u5e0JH/LxM7OI1NM/ySrI5O63b6RDz/2ZPGIaH02eySF9O3L5IxfQev89cHtlYlKypZTFny5j8aff892sFdRWBXC4HBwxpBsDLujLof0PThth3ZlprZnz6gL+/exsVn65BjTYnfaEiG6zNgX0HtqDXkMPo2OvA7DZbJRuK+e9iR/z0eSZBGqC5O+RSzQc5Z2i59nw/UbemvAhc1//koxsL/5KoZB6szx06Lk/HY84gOOGzaMgfydVNP4Gi4QUyxb6WDovn68/cxMKGHTu25FRU6/C4XIk+mPT2i18O+N7lny2nE3rfuGcEUUMPLuM4u2tqOU29urUGYhC4F2onQY6ICkJ3otkUlJxrZRAdOwtNOtYnPmjAEPyd33XoBwHoSMroXoswpSIyLuzG8rVV6I7u0hfNyvvgeCnGM3/fKlnsCKyNY+JXo1RiMoaTcx2FF99sJiPnv6M5V/8gDfLw8CLj2HItQNp2bY5FcWVDD9wBKMe28Rhx2zDKJyJLhkEnlN54cG2vPHg+0z4fDSdj05Pl69rM1/8gkeGP0Xf01ty08TvUARRvmuoLA3x7sSPiYQinHLDiRS2bqi9kjgGHQD/VDAr0TqMUvDTKjc7tvdm3vRKFn4c4pQRp3DBqBUY4ffA3h6j4MNknxb1BWe3xKQ4Ec31XSfCpHX3FY/SWpHetO0JzpV0HbNMSrxmXMGK+eu544RxtNq/JcdfdAxP3fACRwzpzl1vjcRmC6BLh4GuQeW/jy6/ApS9weTnz5hZ9SDUvoDKn54oX9ig3WalOEs4rYnTTMi4HOW7Vs4vhnxf+wqq+fIG1G6zRMpjGwUfNNoOHfi3RPVypkLFcGGDRFdDzmQM9zFWO6rEyXYdhZHzaJPHpbWWvouuAqNAHE0roj555DTeffQTbph8GYMu65+mTx6SyKPyogoXpkRXRZT3PjnWekyAP2M6VirCvIG3LHFXS5MHpHJE5DvImYrh7iPARukwsLWQiKCuRRV8mAD3hIXypHVORdtGh79Dl10C+CV6mDd1l1LNEn1SdoE47Z5zLODRAd7TMLJGNzyWeBQeEoyqBsuYlejS08EsF8e9TsqEWf0o+J9GFXwiFXywAJbqCRB4DTDAd71cczUTd0mE+P+fucE3EmrGoXKeQLkHNLpkwlmtwzpKu1xwJrriGlTuVEmxqxqdZDPoMHpHV/Ceh5F1izATivuC/UBJl4o7ctY+hP21L0bukwLClZwg433+OwlnUNc8JYBpnUi4WTJYAgauo6DmEfCciZE9pvE2W6w38l6HsrPkS8ehqIwLJX3OdbxVvUdB5l0o79kWi6AC7B0xChpW/9KxLeji4yRanjNhF87F77e67A+1EwHgxPMh6/7UNK/YVnTJyXIsRktJXQr9O3E/gxXlj21EFcwR9kesGPBD1liMNFF7XfMsukaeS+meObr2XbT9QKi4SsSBAZyHC5ijQ+iibijfteA8Al12pmyncCGE5qGrbkMVzELZ90purxFWijar5Tx5z8PIsjTgKkaArUD6rM78RQD5LuA5DSPrjib70iwZKowH52Hgn2IxJzxNrqOjP6FLBiaYN2bFTTI25EyC8vPBaG0BeGFAy3Oh8KsG4KZZfALENqAKv048M8zKOyWIkj0BKq4UZlzoM3AejpH3ogVCWs839xBU9kNpQVNt1lj9dbaAPTu6gvectEBYSpsqRkmKng43eMZqHUSXDAVdbQUN6gR5Ap+IfpzvRrlPAXyjoOYJ8J7R4DzEmV51maU6+Cm64jpUnqQ36aLu4L1A5obuwRD8ELLGQdUd1rNqiWjgmOWoZt+CrpH7VFeC0QqUAiPHYr00DU7+N9tuIGUXbDeQ8r9tq75ayy39x7Bn+1acdMUAOvXpQJv2rVBK8dLot3h5jDgrmbkZdOi5P7XVAdYt/ikFCHF5XdgdNp5c/CCt9t15RKR8RwUzX/yCL95cyIZlG6mbYpKZ52PQZf0wYyYfTJqRYIcUtMpjj31b0GrfltZ7C1q0LaSiuJpvP1nK569/SVVpNXktc+l3Th/6X3A0e3fcuZBXOntk+FPMfnUBXfsdxNLZK4mGo9iddmLRGNrUZBdm0WtId3qf0oNDjulE0B/iwyc/443x7xP0hzig+z6cc+epTLnpJRwuB08vfYgdvxTzw8J1/PDVOlZ/vY5fVm1Ca5NmrSIUtMqh75m96dSnPW0PaoNhSIT0s2lz0TVPMuCMCpSrB9TRDwkFI2xc8Su11QEycxX7dqwmHAZtGmhTUqiwdFuUIcojhs3E8SdJGn/M3CKyZd9LXrY9IbxUnAHvxRJhsXeA4KcyKfKNlIhxaG5SyMzWVvKDm6B9AhCcJ+vWq+BQ35StjYi47iodPrKCSMmt2NUGvplVyKOjCnFl7MHxFx/Lr2s2Mf/tb9CmyeGDu+GvDrBy3mqeXX4TrXIvlMh16GNU5s2E1HlcdvCN2B02Ji+bgNPV+PF8MmUWj14xha79DmL0+zfjdpcSK70Iw/xll9q8qxaLGWz/1U5pcR4Hdg9iNyrAeZRM7nFC+UXgPV3YFPFob/nlEFmOKvwCpZL560KDP0N0QgpmpNX3AYsxUDUWgh8SDO3DTUM9hMJ7MWHuaHIKs/ngiRk8ed3zHHN2b2556VpUbIM4pfYOIqTrn/iXpfdIZPl48AxJ0HbTLhdZgy4V7RSVOwUd+BBCc1AFsyG6Fl0+3BIPdGEUNqRsa//L6Or7mmSSCFjTEzynWkyDLAGQmq9KmTQKJXmqFZXbK+22EtvUYXTZRaIBoHIg/4WnekEAACAASURBVCMMe3NisRh3DR7P0lkrePCzOzmkbxJQiKdQ4ewH4dko30iU74p62zXRlTdC8BNU1riU1JrfY8I++VrAk+BsRMy4O8p7Btp5BBQfKRWLYj8BWj67B8uE3ixB5b8LuloACdcxKIsNJYBTX3D2wMh9ytpXRCKNhC0xZj94hom4sK1wp201az+EqlGQeb+kXIXngucsjOx7Gy5b/Qj4nwVMi92Qvjyyjv4qtG8jF5X/VoJ9qM0yab/rOIych1K37X8Dqu+Wf2x7oTJvQxuFKF228/72TxWNmOxHdpqWpf3TILwMcibucgqXNv1QPcFyXOs83L2XQHg+mDVCf2/EIZQ0ie9QhQua3KekjyxBFS6Q81/UG7znYmTdlmSAZU9MiLbGo9kq/wMIL0VXjxGnWXnQRV1RvmsTwHAcpMF7Mcp7lqSwoiWNxixBFfwbZWRjVj8uKWOGVaK8cBGGrfFKKGbFTRD+GpVxeVKs03sJKvMmGd9i28DVXxhYmFZ1p0wIvgkYqOYr0jIt5Vp75nelqu2qSZrfiYANlf/hzq+Z2tfRVfegCmai7Hun/mbWSIWV4McQWgCYYGuD8gyRyj3h79FVt0LOM1BxOSJFGYWCuRj2hmO9ABiHA+FEilXiN4slgsqD7Pugog4L1D1ImGUVl6Jyp4HjIHRRN0CLqDcuqH3ZctZTA3ONsVLMskssEGi2jD/h5eiKy0GbqNzJCSaJpPQd0Si4mthPrBhd3AvlGyGpumYpRsHOyyvHQYM4gCygzpV1QDqb9LvnLAmCEZKSvXlvYxgSsNTaRO84CLBhtFiR3HY8ddV3Izr8lQhtawmyqux/oZUvwWIEmkxzM8uvlHlgziQoPxeV/ShqJ/M2s2SolI62NUvPAoyslrHU1VdAkATQVYMu6iH6LtF1AuJFfwRdnjJGyLK1AuZXj0lJe9Km3wJ/zkC5jxOmmOcCCLwoz8nocoxmXyVS4EDEqnXVbZJS6OwswF7VbRYrqALcQyA030qF+ntTZP8u2w2k7ILtBlL+9+3rj5bw6OXPULa9AoDsgkw69enAQb07ULK1jHce+Yj8PXIp3Sq5lfl75NKibXMMBT+t+IXaKqngoAxJA2rffV/cPjcenxt3hgt3RvxdPnt8btxeJ4bNoHRbBZOufpZ1i3/CMBSmmbynlAJfToaInyqIRWIEa0OEA6naDpm5GWTkZKCUwl9VS1WJpIvktcyhY6/2dBvQmeZ7FeJwObDZbdjsRuLdsFmfbQaG9X7HSQ/g8bm5++1RBPxBls/9gcUzlvLdrBUE/SGUYBQA2OwGrQ/Yg45HtCd/j1xevvdtfLleasqFgbJn+z3oeuzBtOu8F/scsjdtOrTG7rDhr6xl0SdLmXDxUxTumU/xplIAfDleOh/TiUP7HUyn3h0Ye/pd3DLpJ/Y5OMk4CNQE2b6xCK01GVleqiv8ZOXF8GWaKf1X1wybgd1h4HBGMAwTMwaBWgOtwe01sdvBjIG/yobdnYvHayK5tLI9re1EolkEa33U1kB27lY83r+47KLtQIhtxyRKVfgOAn6IBrZjN37A616Px7sDpaxqEYaSd1VfnrYamSg0FNFMmk4u5zxaBATtneWCS7Poqq/WMvvl+Xz/+TJOOLeYUy4rRikPtqxr5AGsFOU7ypn54jxmTfuCWqsy1Fm3DaZ3v4UYUasyh+8mcJ/I8nmrGX/e45w68iROuaGhuCvAp8/P4aXRb3PIsZ0469ahrFqwhu/nrGT9dz+SU6DpfHRHug3oQmHrPB67+lli4SjXP3M5rfZpkdr4mscgMp93puzDnLcVA87vycnnfYQiCwgBRbt4cgCcQAHYCgA7xJaC40hwH2VVBrIc/dgWqHkQbN3Ad0GTWyz95Quc6l3cGRC1H4cnZ6CcF6WY/84iZr00n27HdWHIVQMs8O05sPWA2CIwDoDs+6ER0dFEH6R9r/O5aozQfnNfso6t7jJm8t/wN1B9j/RD/gcQK4GKC6UMom8EVN0jVF0A1QLs+8jLsY9VNjILyk+RyZNvRONNLr8KYqXAVmtbLSH/rdRlzFIoO1Uigpk3go4hop4x63PU+t9610D1YxBdDHhk8mprRaAmxL3DJlJe5GfMB7fQfO8WElGseQScx0Dm3VB1u+hz5L1pVXCq24URqLwVot9C1v2Smpeuj9P9HyuViHTgE9DbpX/cx8n9aNsLUDLxrx4HGdeCfxI4TxRGSMwS7LN1EBFOZ3eofRdqJ4PvNhGYBWFi1T4HudOsSfRqEV0EyHsbat+3nFSnVPnwnAq6Whza2Fbrtc2i/m+1hJvTlHG1HyzlLI0WYGspIsFV94IOiuh14Rwr3cMgUSkLA5T8r8NLJPXO0RVyn0myIKrGQ+BVyP9EBJjr9mTVOAGj47opziOkxLLyiPil4ZX3+P/KK+e+ZKiIG+Y8YG2p7rhX73PJWRI1zUtf3pjGxMFrpkHtYw2/990JNWPBewUq85oGP2sdhaIjwX0sKvu+RvZpSAnu4t7gPStBizfLr4LIMlThfAi8I3obdZzrJJOrr4Bx/idQzVdDZCW67IwGaRySihJ31hwi0G0UQORbKW+cebNoW5VblVBs+6YFUOuaWXKSVFBRDgh9DdRC7msYrm7oyCp0xUhJlU30qxYNCi3zA7IfxLD0PVL6zaxBl/QXTa+8V/9Sp0wH56IrLkdlT0B5Blup2RFhgREGHZIXGoxsdOWYBMDVJBBWeYeUUnYcIiAv2rpHf5T7KbosuXDhdyjD2wDUADCLTxShz4LPMeytpc2xbeiSE+VexiYlgyM/SLuNVgLy2TvJeJD9kOikhBeR0A9zdgezpJGUvUZYKbVvoqvuErDJYjXq6G+SehjbhsqZIA54+HvrensmKbaart8D76Erb4W896D8QktLprF7ok5/VE8A/wuo5t+jlFNAkbJzJf3JyCde2VBlP4JWeVBxkaxo5EPOZLC3R8V+FfDMfkCDPjDLhguAkjNR2oUSkdjoj/LMCFnLOzpDZI2Aw2kCB/F+wHkshOfsNDCitSlMHmwWG3Ni+uX8z6GrHxL9Lm8yZd4sGy7n2HEwZFwBFZaos+86eZZHN0BsA5hliLixCb4bpGqPoxNKuQX8ifwAGZdB9RgB40KzheVjKxS2m9YC7ukyYQzWPCZAve/KpA6aaVXm85wFgdeFEbQLQP5/o+0GUnbBdgMp/zdMa82WDdtZtWANKxasZtWCtWz7WQZcu8NGNBKjXee9OfDw/akormTjit/YkqaEpsPlaJC2s9v+e8wwNJ16+Ok7tJw+gyrJzI1RVWaweokPDRzYzU92XhpHYbfttt2223bbbvuvtDrAA4b1rmlYXDNmfa/q/G5aLxsNgaH4dkjz/v/LGgMn9C4ss6vbrfvZtP73IekgIXbeB3ZJuVM5Ar4a2dbnLKSfY5ZIcFiAZbNKSsLGNgpI3KgZsm3lIHG+dLXVRpcFFmJ911Sgx2Udh0LSB8P1vgdwQj1NtITpkDAxVGay4pLW4jzjERAzsawGXSXtURlyDLoaMq6WyjOG1Ucq20r18KGUgVkxQhz/3Feg9PhdFiU1yy4Bc0cKAGJGfoHSARbDsQoAlT8d7Pujd/SU9poN5/PgAKPQamOeVWUoJGxARw8BZwiB+xQLdIyQqDRl7CnnUtnAc7L0Z30Lfmrt1ykV4Zq6bnW1VWEQAZwbrQ6oIThD9IY8J8sxg7CbwwvkOsRM9IN0RpYIYtv3EUFz/3NWQCJgLWAX1o6RKdW2nIcLoGJrI9dc5PuEnkpcUBpbOxGlBzk+56HCrI5tFmYegHsYBN9tUuD+v912Aym7YLuBlP+7VrK1TICV+auZ99ZCqkqTNefz98hl7457kl2Qhak1v63enBCCrWs2u0Fmno+M7Ay8WR48Pjcurwuny4HNboBSGBa7IFATZPXX66kqrU4RfU1nhk1h2G3Y7TYMuy3BVJCqNUrIBQpiEZNQMEykiW39XzW7w+TQvtX0HVLB4cdV4faaFG+1s3pJBjWVjejMKI3XZ5KVF8PtMZvcvkLjy4lhGGB3avKaRXC6oLrCSGw/t1kUp1NTst2O1uB0azJzYthsMv8IBxUBv0E4JA/YeIBLznf8s1QhUgrymsWoLLVRWb5rOjmGAo8vhi/LxOXRmCbU1hj4Kw3CoaZFKDMyY2QXSFvNGMRiYMYUsRjEYko+R8HrM3F7k88KqWCVegwg29A7mQunm+anM6XAMCAagWCtQSxmEItCLCr7yG0WRSmoKBZHQxmG3FOGgdYalzuEJ0P6wzDAxEVdp0TaEUURQuNspGx1fELaUHjRNDXhUESmsS4nks0WZ1D8000hk3oHMkmPO20RYSgkKkQY9daJmyZRySOxXF1Hsa6luwcVTU5IU9aRZU3rokyy7ZR1Tuq2qX4769uuLNPYOk2Y0VIm27a24rhEV8iE3t4Bor9CPNVN5Qn7wtwK2MUBQMsEXNdYdOpaxGnyglGPtabDFk399wLJBsk+rT9mxJ3Q+HjUBEMn8X/c0Vf1vvtPm+Xw4oVGS8DHr9X4u2ld4/Wvhf/VubKHhLOlsoWNlGJ17gUdFKBAFZAU+zRSSvY2MLNK2EYpZifplMYfItZ+tB9hsWTx++5DSA8aWZ+VBYbEGRvK1vCzssk9FP7ScjqbAyHQAes4KpCy09paNyrHn8LUMkCbCGO0/jHreq//VTMSKZ24T0K5eqErR6UwXZoys6i3aJbUEfrV0c3okmPqLKWsNDEXZsUtojuSebukW5k7LPZOgOQY8Ect/uyLf05nv+e50dSyitRxM2p9dlrvJjL2e8AzVJiXuhayxqE8w+rp3RyK8t0AnjMgshwdWSagUWS5XM8gwt6R5cJIDb6XZGxZ+kvkvorSJWj/iwK02DuKdmBdACduacSU/yn2Z4GUxouE77bd9j9gBXvkcfQZvTj6jF5cM2k4z97yCtOf/JRoKIrT7WD7L8V8P2dlIp3EleEiVBtKjHV5LXJotV9LclvkEA6GqSiqoui3EiqKKgn6Q03smSZBFAAzpjFjUaKh/wXHaydW91n0V2xOyeZiUYNFs7L5dlY2Tk+MIwZUcdTJFRxxfBUO5983UcnMMcnMSXUAm7VqeB6VArdX4/b+vgd5KGSwYYWXLRtdaK2S3Zf8k9Zym0XYv3OAdgcG8WVFqSq3EQ42QU02FeUWENHU+YlFpQUb17hwuTUur4nbY+KyUqogCa6kbCbNNnf1rBiGgCYAvux4xFX2EY1Im9weTV6zKOGwIlSrqa2xUV2hqSy1U1Hqpmf/KnxZ1nkyQ4SDYUIBg1DAIBgwCAUUbfZXhINRVn7jk/mvioOYiqxcBx2717Bjs+K3H8VpNWwGhmEQ9AcBDznNsnG6HdgcNmx2G06Xxu2pIRaNEQ1HiISiRCNRInXuc5td02LPCDa7AGgOp044/WYMImGDcAi0VmhTjtmw2bA77NidduxOG8YuVmpJWtRyAgBHTxH/i2vDBOdKyozzSIk0ufpJGkh0A0mHwABbGyKxtkTDlbidKwR8cvYG5yEpQJQGqHlc9okN5bu+yZZpTAEUomusfUYFcLB3AEd7lNFQiFiHvxWHBwWe0zGMAvA/h9/fnNvPPoC1i3ewb5e2XDT2LLoffwjENls6MsMaFdPUse3o0jOBECprtBWBzrDSSjKslzelSo7WMXEYzCoBPMwqmWia1fKug+joegjOgeyHofxiOa68V6D6IUmlcg+RCXFoFipztFUu+FrRvMkcYVXAOUYo3eElQFhEZq2S7WmPRQfF8TOr5LybldbnCrRZJek+QUv40ygUUeDwPPns6ivn2yxNCDFKqtKumIbwV5K+5Oxlae4EIfIzjd79ZhmYm8VxNXJkoq+D1nuABuCk8okuR1OVc8wqcTTMUtm/41CUeyC4+zVavhtI6gN4zxONibzXUc6uVnWli0EVgi62otWbBBwziywA4L/YVI44t4ZP7nsdkPvNyADTFKBBl6JyJgrLII3FBVvxDITaVwAN9g5pBWRT1gvNR5dfTtKh1dIGVR9gtV66RtqXJg3mD5sug9hO9Hd0hMS1Fl0LrE3+prIkdcRoKwCzjopwtK0V2Paot52wOJ6JdXPBKgedupy2mCxrwWgD5m+gmoEuAnJIpjeGgTygmFTQE7B1hNgP1n72gMLZUHQMsB3ItCrTNVKuvvYdqL4LciajXEfJd8G5UHkVZD2E8pxUr7kxqH5AUvWcfYRVER8fcQAmSlehzUrQFWD6pZpR4H0BiJsC3OL7MMvALEqIaycsEk+T8gE1YLROVJZS7mPRwfdRtlaoXEmXMXd0Bx1AFcywqtRtEhAgtlmqfsU2S0oLWKBPNaBlDDJ3kExHc8k5jv0Etn2gXnoiOmI9hwwZ71QTbnX0N0snC6kclAKEW9eCWSpMlMR4okkGdEDul4AIdAdek/s28BZ46lTNjKy09nGwiOzajkHFhd51TJ5xViVHIkuSLCi7lc4VWiisImcX0TVTPnT5cFTmCHD2RpulUHw0ElBRMgbuAkD2v2q7GSm77f+cle+o4M2HpvPR059ZpXP7cMSQwyjbXsFP329k7eIf2bhyE2Ys1VF2epzssU9zOh7Rnq79DqJlu+Zk5vlw+9zomEk0EhPnKRIjFomycdUmnrvlZapKaxj53JXktcghFo1hxkxiUdNaNkpVSRVVpTVEQuJ0hUMRIqEI4WCUaDhKJBwhan1vxkxiMdlGfDvynYmOxYjFNEW/FhEORSlsnY9pmtayGtM00THRINFm8jvT1PK91mjTesXHBdUEgyC+iJKFdCPaJnXNMAxQYJp1dBvqmgKbzUAZRuIYbQ4boIlFG1knjbk8MdyePzm2KWENKcMgFpYJoFIKZVf0OaGC4XdsIRRUTLq1NS6PSYdD/cKKMGTlZq0CHHpUDWu+cxPw29jrgBD5zf+5oJm/2sa67zMtLEeuEdPUOJ0m3kwTb2YMb4bJ7/bvG7FISPHLWjexmMJm07i9Ju4ME0+Gidtr4smI4ckwMerMtdNKxFjMmcYedf9QfbS/zUxto7ikP4HqEIHqWsxYJQZVOF1+PBkBMnOi+LL+uvP8l5rKAEcXNC6KN5Xzy6rN+KvDZBdk/z/2zjtOrqp+/+9z7/S2OzvbN2XTE0oSEiCG3pviF1BQQVRABUGUKgoogoiiIgKCgiioFAERpUvvLQQIIUB62WT77O70du89vz/OnZmdLclSxZ/7eb3u3pm57dy69/Oc5/M8TJ07herwJtWjrjUpirMIlcfFF2ArYbvHbA0o11H0/JFKKaj8TVpAGpVomICl2ilzqETJbQNams02ySkwQ9q2nEXqtRUt16WDSuSF7/1fwDKlkgvnIvUyrdUrbZfUDeA9GhG6VNliJy5RgsxDk8WtrVpmlaaBsRpRc1uFRfjI80vlSJH9NyJ4tq0BMrXcwyozNijUrwa9eUwuaFbsx5D5hwJFcg+r/cUB7t0VqOI+oMKiXhZWI6NHKAcbrQUyf0M0LLV1GvJK7NF1gHK7IgOiATQXRO5HyD6k2Ql9x4Lnc0rboJiYywKKzVUALGTuKVVGEPjBMGtZabbbIGQB3J8ZUYNCmt2245IfAqcoHSnXbkrwdNjMGdUuqxPMLnvcaSeOgyL4feUA4lqEFh5ZT8aK/xTSd6ieadlVSsZGEioetmzmUYgVxVJt/Rurn62yBUSI4QypjzCkBFKo+zJAmakkh3x2queFTKj7Rguj7mObOWD12QlzkQ3hUJayjCDMbnXa9+F8MNba58UJzu2gYDPXZIqiIOqw0CcMchNEgQbSUsARAlx7IcK/HdHOeiStlG0J80opIX0TMnm1/bwaHE5VDqU1qbHehBAeZPpOQAwRbRUjjqW5ATJ/V8+gQeCtzD2hjgceIAn4IPAtBAIp85C6VlmTu/dFyrh6jqFB4MzhbFPhQmrNkLhcgaG+b0L6BnDMUK56fceCsV49p61O8H0bzHcg97R6nrnmD2rXs0qkHUo6IqOFFTtf6WlRsEWARxfql1YarF5k/GIF1PhOVGCUVgfJXyuNJGMZeL8GmZtLNsxS5pB9J0HhFWVjPgKIJtO3qvUGTofkNeA9BjL3IBreQAgnVs/+4JhZeg5IK207/HwFLXSe2pfoF9Uxkv0QOBftQ3K9+0/EeGnPGGIcSBmPkSLa0c/ffn4PD9zwGJZpcciJ+3Hs+UdSP6kOy7J4+8WV3PzDO1j21Ap0h47DpZNL54etR9M1QpEg1XUhqopDJEhVXQihCe765b0EIwG+evEX8PjcShDWoVWIw+rOQb3NTh2Hy4Fz0Ofid7fPXXLEGSmklBzT9A12OWQ+37t5uBDeWKJt5RZOnHMGZ9/4LQ45cb9tLzBo24mBFFtWtbN5VQcda7vobusl2t5PciDFpDktBKr8JAdSPH7bs9Q217DfsXugO3Q0TYnmZtM54r1xYtEEA90xVi1Zi2GoF62xADVbDYEt0GsL8+rqOJqmhWWYNihljppwD42J07NccP1GJs/KcvtV9dzx2wasCuxNcuENG5m/R4LTDpxF1xaXKuEZQ+gOycK9E+x7VD+77pfA5YZ1b7t4/O4anv5XFbG+bTj/jBJCEyVGha4rUCubymEaGpYJoUgQT8Ctys10HaFREsQt5AwSA2mSfclRBYFDkQB1E2upbQ5T0xTGNC1WLV3HhuWbcDodLD5iZxZ9eiGd67p46I9P0LulD82hIRCY9nkWmsDhLDtMDf4fJbQidXWk7UsijQVmzkszdfssk2ZkaZqUp3VOFrdHYpoVs1aEZpdhyeL5G/TeJaAEGoxUzqTaA5a9/GjrGbZtez2ardc59LYuYZn/Q0CPZUEmHSCbqSaXr0USwutL4/V14NALCF1HEw40Icq92VYS1VMLUGv3uANIpGWSTqZJx5MgJR6fjj9komkWwxM4jRLVvyJ5G4mOPxZqfvHE2eBJKQZTzYvlAMX5RkGXRViBLdYACpQZ3GY7KcXLe0K3zG5U0jikh7u0als40Iorh6H3yg6QGcg+qtbtOajc6znq/HnIPU1JlFT47YSsyRY3HdTTK3xKgFWfrBgvevMwq26wX/bR0CK3qeeIsQKZfRAyDymxTpxKVLd4rsxOwLRLsbpRLKxBQtBmLwroqrWnF9tTpbQzZFoBXloDjOBMU15Pp9qm3jDydCtGiT6vRUY+duYWyteSBaEfo/mOHX2bQ0JaSaSxQTmUSCDyd0T2PmTyCkT4r7bL3pBm9R0PVloxWfQpYK6G6uvQPAeMaZtW3wmKrQQQ/psNRmTVcZNJBRhYCTA2QPZOlSw6F9rnfrDA8Zh3871H5h4QNUqAfKSQlirTK6yovAYAdT21KMBMDthAg0S5/k1F1NyC0AIVS1gDZ0B+GVr9k0psOPcY+L6K8ByE7DsOUf07wEIOnAZaMwS/C7ELKDFnHPNUQl0sH3QuAGOd2n4pNHUsHTNs8LUIBGsqGc6/qJz5HFPU74V3If+4KvkYjYkmJZBVz99i6aFM2ky8ZHn4ryhhGgTmeD+nnn3p2xVIUAzHPAV0oUPVj0vnUWbuU7bBju3Vsaz6OUIb2c1Lxn+mwEwthNiKxXjFMlYWEj9WbQtehNBrkNlHIX2zakv9C9BzCLjmooX/ULI4RoTRGl4eeZ1mlxKMdeygQDzHDiD70Gr/ZTsA7q8cDv3Hl5ZR93685LpkxS+B9J0o9zgfovbxksX0f1uMAyljiHEgZTy2Fr1botz+s3t48A/K8u2Qk/bns6ceTP2kWrwBD6teXcsN3/srbz79Ns3TGtj5kJ1oX9PB0kfeZPvdZzF3r+2I9cQZ6I0T61HDQE+cRN8oPQgfMLwBD96gF3/IizfoxRfy4rPHliV54tZn2e3/dmHng+fjr/KNOHgDnlEBGcuyOCpyAvscsxtnXH/yh9r2fDbP6YvPJ7qlj+uXXUGkaXSbRYC1yzZw+qIfsPDg+Zx706nEo0nivXGSA2mS/UkS/SmS/SnifQli3TFi0QSJPvV7Lp0nn82TzxYw8kYpUf8ww+21OPXSLRzypW1bdn7So5AXFYORFxTyWum7WRCYlioHkqbAKn62x5YJxaSwyG4aGgKBw6Ur0MpGnVQvmMQb8DBpzgTqWmoq0INCrsBAd5yB7jj9XTFymTwSZVkeCgfIpnMk+1Nqe0LgDbhBCHLpHJZhMX1ujqpIgTMPn47m0HB5nGodpkRoimn2fyd0se+R3bStHllHwes3aZhoMNCrMxDVcftcOB0WmmaiOUx0h8ThsHC6JLrjfwv8GI//lbCT2AqwqejaM0pIE9V7rKlynLFkwNJCUcYNKkt6tgY66bagZIMCJ/RGEHWQuloxNfzHVW5CSuUsk19KqdzN2KzAFX2G0tIovKpYKbaLitpsjxJfdOxgl0q1lffJOc9mfPSA59DR99VKKMtpxw7gmDryPPnXVJIu/CqZc8wGx9DSEKGEKFM3qERYBBHBc8B7zIjOMKOFzL2I7D9BfXHtCoV3QGtG1N4zpIRNql5p5zwleGkn7qLuOcRWXceGbuurY27b6OGgzAhz8OEhK0UBTy+ja+rYITMo1lqQkrZOxaBTEoAVfrtUw6E+F9srdAVUatXl0jp8CpRzHwCZWxQTwbWzsj7WJ6HVPYqVugsSF9jrsEuBam6H/tPV+ZFA4SmV3Ft9qlTEtatKmktMOAtk0RGt+K7qoKx/9Z8KWyPEtZ8CdhxTFFjaf4Jtf3y/mk2brrSkIncjHC3I9F2Q+IlyCErfBtm/g+fziKofDd+EzIDZjkz8qgzs6dOV403Rrvq/InSllWJ2KtZK9Q2QuR9y94KIoDW8OOqSVt/xqkzUuROYG8G1B1r15cj0ncj4hYjahypK/GTyd8jklcrmWKspl/kBoIHvRLTQ9z7i/f1oYhxIGUOMAynjMZbo3tTDbZfdw8N/eqKUdHt8bmqaqqluqAIEm97ZTLI/RfP0Rqrrq3jnpVWcfu3XmTSrRfX0Wx2ysQAAIABJREFUDxqQkkwyi1EwePy253jsL0/zmVMOZPHhu6iXEqus+WCZKrGUlhxUrmNiFkyMvIFRMCnkCmSSWTKJDKl4hkwyQzqeIZ1Q40wiw0B3nGx669otAJomCIQDhCIBQpEgoUiQYCRAqEZ9fuyWZ8hn85x5/cn4Qj58oTJwszUQZltx7Xf/xD+veYhL7/8Biw5boFgsfUmiHf30dfSj6ZpiNLTU4PGpF5l//OYBfnfWzXzn2q9z+LcOfl/bBfUiWMgVyGXyakjnyGeLZVSFis+l+VJZUvEMPW1RerdEiXb0098VI9YTx8iX/9kuOjDG5FnZ0nclGqyhaYLtdk6y874DPP9QHZvXhdAdmmJW2EIv0gYditdAsezLNEyGPp/DtQbTd8wwbYcM/uDWhXLH478rlNCvGksLnC5wOClpz+SzCtgCRmQ2SanALcWKKX+2LIGUUB0xcHslK9/w0rnJhaaJkq6L2wsNE9LUt6TQ9U/GO4G0oFBQAJ41iOEjiuWGQpY0KousId0hB023Fxml3Ov9xOB1fXSvThoIHYEBJVcWA0t6EWTsNgQpJ4+SMujwn06CxgNQoJEI2mVjwUGfXUoDqLAcav6GcM4bUefF6j0M9ImI6quRsQtUj7fncETVZcNKNKz45ZD+s0qICkuU9WvoQoRr1zE318q9pMCY7ANKRwLAsT3C/w3w7IsQXqTZjuzZR+krFV6nKEIsGpaP2apYSgPZtRiIAR4InW/rHxUtz22xbmkqPQ5jjUoQzXWAS1kAO+faIIdhAwEfYtJrrFeJtecw5fCytcg+qcAR72dGWdcGWzvDCb4vKJZI/gXF8HDtoR4mVlLp+Gh1CuwYE3vDyXu6z4XXBn3cikk10rmyUgqw02op6WZZCQUyavVbZ1dtMzR1TflORrh2UuChPqGCQSatAXXsjXXIxC/th3zIvhYHdYB5j1W6IADVN0Hs2+DcERG+GaweZM+eiMCZSpPF3IAI/WRIOdGQ3e49QrGrkBD6lbIFz/xDsbOQIA0kEmLfU8CrPh1ENRivMjYRWwfqfBWFhouAlXvbQN3QkDkUcGeXgZaYiVsRIBTh0Xt1pGmDyLbLk/doROB0xZopLB1m/S3zbyD7joHQFQjnbGTuSUj+CiWEKyFwNlrgxPe2T5+QGAdSxhDjQMp4vJfo2tjDm8+8TX/nAH0d/fR1DdDXMUCf/T0VG1oX+tGFEALdoYAZlfC48PjduH1uPH43Hr+n4vv6NzfStrKd2zdfTzaVIxVLl4b0oM/JgRSJviTxvoRieUQTxG02x7ZEdIESA8Yb9OILekrt8AY8eHzldhXHLo+Tt55/lydue46maQ1U1Ybo6+inv3OAQn7kF6FgTYC6CREiLWE2vNVGX8cAx190NDN3nobXXrfb51L77nPj9rlweVxjfqn7ICGlJBVLE23vo3dLH9F2dV3kMnnymbwtamp/zmU57rQ7CVYl+cWZh9GxPkN/V4zkwMjihB6/m0C1X4FWfjcunxunS0d3OpQjjWViFAo4XXkFvOQN0skc6ViKRF9q1OM5WjhcOpZhDilLsqc5NUI1QYI1QYIRL6GIF3+VE4eueo0tI0MhnyWfSZLoH6CQSatyFbt0TR0skEgbEFB6PGP9t6MSZVkupxGgDU6gt3GqhSbUNehz4XAply2zYJLoV9e5EAKP342maxh5wy7hc6A7NTTbdsnIG+SzBXQ9w9cv3GwL3/5nolg2ZBVLiKQCSYomKUUAoQwkVB4rXYf+Hgf5rBi5iERIHM5BpVSlY66ACgVYSFxuidsryaYF6YRW3qhQTjlev4nLbX1gZk7xOhlV32bYh+KCw18tR533Y47iMSmJM1vl/SuWeY0zmkDpUHjtUgSf+oxulxLEVDkBw0ttKdrLUkzMiwnbSCVa24rBYqjFcfH5WkyOhiZT9k0z5vKvIruimHQJVd5UFDgGu/TFZjRoVVSUnlkDajuiGii6NhWtdP3quOm1NmOnDrRIhTaDNHsU88H/DfB+RWlC9J9sl4bYej7u/ZUWR+o60CaocqfCa6C3otU9MqYjWWpu7IeQuctedxhRcxPCud1Wl5GFt5GpG5TVLDp4jwLfVxBWNxgrldaNY9J7asfIbbsAsg8rbYltsHqsnv3BuQNa9chOJVbsYiXKqm+PVqfEeMtCxschgj+C/DPI/m+ocpzCcsUqEW6IHg1kARe494T86yjNE1SZnUzbQqkeez6BCF6INFba9roC9FlKxNa1WM1fWKYETkfUOpL2+lxKHwgAA7KPKHDlPYByQ46CAo+sPirvBadimTimgmMKQmuwW2Eq3RLXYlvrxLR1kXrVPphdYLyu1hX8vtqn7IPgORThXIhM/cUWl7bfrXwnjqrtJKWE5GXqWIlq9eD1flFd4855CM/hig3j3BHMLciorT/kO0ndI9kHwXcapH8LniMQrp2QRhukbwTXp1RJGnmU1lVBLZN7Qq3Dtft7EO8uhgm5R9WxFEFKGkeOOYrNVFhSBkGL0117KI2tEU9Nr631NDQEiBrwHoZwzFL3urEWWXjXtoeGylJQF6Ahwtci3Hu+x336ZMQ4kDKGGAdSxuPDjFwmR8e6Lh6/9VlevG8pG1e0laY5nDotM5qYOLuFCTObaZneiDfgwbIk6XiGmy/6G4VsgeMu/By+oLckFGsNGkqMlJIwbXmcy+TJpnNkUzmyqSy5dJ5sKmt/z5FN59j9iF05+8bRBa+2FflsnifveJ5fnXAdp//2JBpa68nYrJdUPEM6nlZMmHiaVEIxYUrbH9yWVBajUPmSqekaE2c2E2lRGho1jWEiTWFqmqqpaQpjmRY9m6P0bu6jZ3OUns299G7uo3tTT4V19daiCKpU1YWINNcQaba30xwufY80q+26PB+kp2XsIQsrkNHPgftAhF1PbhRMdQyLx7IIeMUzii1js2LymQL5bI58pkAuq8AZy9z6c1sIcLqdSJxsXNMEooZQJER1XYhwQzUD3TH+ffOTHHXGpznkhH0J1gT4zuILCIT9nHrVCQx0xejvitHXOaAAxS417u8aoL8rNkyIGdT2qmqDRJrDhBurqa6rItxQRVVtiGhHP+++spq3X1ipRIOB6voQB35lb6bNa6VzQw8bV7TRvq6Lns29xLrimCNs433HVjptxhJOtwNf0EvTFDetcwwFaPrcOG0LdN3pGAR4agg0TMNkoCfG+uWbSPSncLkdhBuq0XRBJpElFU9jFLatyRMKG7RMybHr/nG23zVdAjoGJ9uphI5ZEBXOTkNX63RZ+IOSeL+GtIrJXmUMX2r08HiVJXYhr8AUheWIEqai6aDpNpCDxOVWwsD5rFYJ2gmJpinXIk2npBuzrRgMKhUtu6UUal06Fescj9HDsiAx4KKrTaO3w0m000k2W8WCvTNMm6Nsa6UEw3BhWQqU0ISBw5l/D4DPYDBisM7MeHziQqtTWhzGMnDupoCb/PNUWp4WdXU8KjEvAV5em9GwlQvDiqqyKaAEcrl2VVowWw2pdH2M1ZXaFaUmNSkNEK1q5MX1RoRzAbh2QozCNrF6DgZHK1r4+q23RGaRXfPAfxpa8Dsjr6v3/xTbwXMMWvWl5d/jl0P6j4jAmYCpRFsBEfy+ckSJnWM7BgH+09GCp2OlboXExeo3x1xVspO7F8L3Qt/+6vfq6xHu3ZBduwBZCP0SUr8FvQURvhHZ90UwNiGqLldiy0NYJjJ9FzJ+ASJ8A8K9j2pr4teQut4u8xilDG0bYfUeDloDovpXNutkPdJcpxg6xno7+f+EM+n0KYBpi1VLCP5QuVZZvSATiMi/Si5DVv+pkH8ZUfdkpZB16q/IxE8AEJH7ESO5OG0jpNUH6buQmbsVQ6YYrr3BtRMkfwNoiPqXkT37g+cgtKrLRl5X+jZk/MeqlNFcDYFz1D2eukGBPBXOQdiixyYlRzvHLMWWs/rBakPUPY/Q697zPn0SYhxIGUOMAynj8VGFZVmcudeP2LyynVOu+Aprl21kxQsrWfPauhKIUFUbJNxYTU1jNU63k1f/vYy6CTUcf9HRRJprqGmsJhgJ2m41ZTFQrfh90G/q+0evYt/X2c8Xmr/JnE/NoGVGE0IT6Jpmu9KIctt0xTzQHXpZRLco6OrQFXvVkjx3z8tseKuN6169nEmzW95Xm569+yUuOfoKZi+awd5HfwpvwAuaQEhlNZ1N58jZQzaVY6AnRrS9n2i7KhsaialRZL3UTqihriVC7QQ11E2osccRfEEvpmkqoGMgTaI/SbI/RXJA6bMk7M9VtUGmzW9l2rxWQpHgsG1ZiSsgtfUXtI8iLAs2rg7z2tM1PP+gjxWvjJxEO90OCjmDGQunMHuXGdRPrqNhch0NrWocbqhC0zQsyyLRl1QgS1esDLAUAZeuGP1dA/Ru6SMRTQ4rTxothCbskijllKQ7NJvN5EJoQpW9mZYqdysYZFM5jLyBEAK3z1UBSn5gYeKPOVp3mMjMhdPYvLqdt19YRUNrHd/4+ZeZu8/25GwNmIHeOOvfeJNJk+5gl71XEe1y8MgdYXIZD81TJLqzXE6m2c5Xmi4wCybZdI6JU/uZvSDNU/+agNCdmHa5YCFXwBrhHGm6VgEWSan0agYDpFPmZNhxUZreDgdLnghRKIyeQDldkr0PH0DogmUvTMTjDxIIBwiGA3hDQXyhAA6Hpeq1jbVIqx0BWDJMwWzCqa1D07Lk82FyuWqEyOB0xnG7Pz6G4PuNd1+r4vbfzqRQcKLrAk1Xz0oAs2AiLYOqSJq65gzh2hQ19SnqW3I0TMwTCn/42k7/qRjGMBokvAzvgYlTZBzJ4oLFCWJQ2VtxrFMUJhYlnRWbYiUtIIVU3h8V7TQKgmRMI59T5ylUbeINlBFAo+DCtGpxeOrQdQuM5WNs/EcV3nIZkbDLiKw2WxD1v+EaKpZADA6JAmyK7KJiDC5rGymK2im2lo/QBjF1UAwEvdkWMm62nW7SkL5eudy4dtlqS6XVDem/Klcl56zh00E5KWFA8Bdo/iPK06SFjJ0H2X8pAVhzI7gWKev55JVKH8X5Kcg9AK590Wqux4pfCum/K5DI6gBRBY7t0SI3Y3XOsY+NDp6DIb9cnffwHZB/AlI3IuqfB6tfOWlZUVU2494f4T1UaQgJ18gOPmavKufyHoFWdemw/dxWSCuF7F4I/lOHAU7S7ITCm8j8myqBd8xW12rqOqi5A+ForZxfSug5UO2rezHCBgik2QXRLykNofB10HskyE4QkxB1d43cLrMbop8HclB1Pbh2hOgXFBBYdSX0HQXuvRG+L6k2Ft5U9stWtLwSrUVptCDBdSDCNQ+cc5E4of9LNsj23dLsykHs74CBaHhzGJD1XsIaOBdyz4Lv65D6hbqeB4sLe4+C/Juqff5vq20VB1wgnMjM39U8zk9B/hEFoPqOgeTViLpn1XdzszonjqlKF8UGg0TtYwjHJKz4xZC+G8giqq8f0WHsvyHGgZQxxDiQMh4fZax5Yz2n7Xweh3/rYL59jbJBy2VyrF66jhUvrKJjXZfdk6+Szd4tfcOYGu81igDGUF2WUhJl10KokUpQi4mqMrwo954XQY/B3zVdY9M7W8gkMhXblcW/ctBLsWXZvcPWqG4uQhOcdcMpY3YBklLSvraTlUvWsmrJGla+upY1r60fVf8lUO0nEPYTDPsJhAMEwn68AQ9ur9suj3EhEBgFowS6ZFPZEjAS640z0J0g2T+c9VIEGLYWmq5VsDTqJkZKoMq0+VOYNm8yjVPqEbLDruv+mMIagPxzqp61sByQZNJVPPkPnUjrUfhq92OgO0/P5igd67t45OansEwLl8dJcqAyQXU49SGMnhoiLTUlpk9tSw1ur4vn73mFf//5SdYt24ju0Nj54PnsfPB8JsxsIh5NMtAVI5PKglSA3dsvrmLdmxuxTIumaQ3M2nkaDZPrMAom2WSWdDJDJpElbbOf0oksfZ39ZBLZYbtbBGHUuFz7U8gVhoErukPD4XQghMA0LYyCYbMplFni4BxNlc+Uy5Peb2i6VirP8wQ81DbXMGFWM9V1Idw+N16/h65NPTz1t+fp6xxghz3ncPDX9qV+UoRIcw1eu4zP634bEj/Goa3jnTcmcdU5DXS26Yq9ZpjKDn3I/n73F20sPjjOF+dt3Yp2a23XdQ3DdlPSdEEwHODgY5N87ZxlbNkQ4rof705fpyCTVOcrl8lj5I1SW2bMTXPlvWtY+nSQi77aCgiqawvscViMvQ4fYMfFKTQNNq5y88y9YZ59oJq2NV40XRAI6xx9SjeHf7UNTYOnH5jNS48vIJ/X2PjWcnz+NP6ghWmztSbMaGTRpxcye9EMdF2Qy9oMr3TetphXlvK9m6OseO5d2td14XDqNE9rpLalxnZWU89CNIFl2s5ehrpWDMMin8kpvapEhmxascaGilobecGa5V4s6/3V6/iCJlO3y3DWr9tomTJSKcvYopAHw9AwDYFpDCoJG+RxL4RE0yW6Q6LrEn0kd+fBLlo2JistME0lOG2Zg2+c8uqFptbrcJYZR5YJhgFmQcMwwDDEmIgqygJdzZjPCfq6HPR1O+nrctDf68Qy4dDj+oh2OujtcFFdZ1BTV8AfGs5ya9/g4lsHzER3wPQd0+x1eIzPfCVKX7eLmvr3f7w/jihZuw/5fVtX2ohlfR9Smz66cKpBOCmXNklK5ROfWIFQpwJqtDolhCyqAKn0U6wuex5bb0PUKTAk95ICTEhB5D5I/BRkBjxfgMT59iLToeZm6NljlO0K0BrVelx7IDyfRuotqhQq/6LaBmnAD+7dwL2XcqVKXQXBnyLciwGQiSsh9xDU3G7r2Yw9ZOFNiJ0BgQsUQGS8q7ZfWEnJnaskXj3oXnPOt0tWZoFzdllDps/WO/F9DeH7Snk72Ycg+Uvwf9vW+VkP+kxE7b0VgslglxcPnKocwjAQ9UsRWhCZvhsZ/wGi+npk4VUFQIX/hHDvXlrWiv0UMn8GfCgWja6EgoXTZqvYx134QOYgcAbCtQicc5RFcuFd0GrQ6v79no7j0LB6DgTHDLTwdVjRL4OxCaouUQ5c6gAyJpaPe3/bOtsHxlsKgNXCaHUPjTi7NNYiew9FhC5B+L6ITP8dGT8fEIjA6YjA+3MK/U/HOJAyhvhvBlK+ecXw3w5cCEfvA9k8fOea4dMPXwyH7wYDSfjeCB3gn98LDtoFOvvgRzcNn/7lA2CvebChEy67dfj0kw6DRXNgZRtccefw6acdAfOmwbK1cO0/h08/+xiYNRFefgf++ODw6ecfB62N8MwyuOWx4dMvOQEaa+CRJfD3Z4ZP/8XJUB2A+16A+0YQrb76dPC44K6n4NGlw6ffcLYa//UReHZIJ5PHCVfbwPqND8ArNgNzy+oOou19LNitleu+r+qaf3sPvLmucvmGarjkRMk1p93IHW80E1mwC16/W1n8SqhxJTms+S0s0+LBjh3py/kV3d4GLuqc/ewReA3LtHg0vpik6S0neUAdXcyXLyOl5BkOIocStCre5vVWG9sZS5CW5FnXZzHQVWJoJ4i16dVM6Hse0zB5Y8IJJSHU4jjQ8SrBdU+SNzW6Fn9XTRuUsLlWPYV79VNY7iCpA84edmxDG5+iMf0O7sYWNkw7Vtk+O/SS6OUOjrfIL3+WFe+m6Nnxy4ACYbxBD76Al09v302DtZlnn+tlifwUhg1waA4Np8tJa8+jVGXa6LLqaZ90WKlcqthG74s34+jbQKF5R7I7fW5Y+3zP3YAeayc/aSG5HQ+vmCY0Qf3rfyToyJCbspi+5j2VPbWzqF8iOCj4DIX+Pt6INrOOmeQy+dJbq+bQ2Kn7bzRPDtNTvxtt2nScHicutxOXx4nm0N/XtVeMKj/88hRGvfbqq7L88Kh/svSBq3kmcwrrorNQvXVBEG4m1Ub52vw/8Npjb/Ki63J6cxOwjDLLY0JgPZ+f8QcyqRw3rziT/kykAlSY4HmL/Wt+B8A9A7/EdNbi9rpKlsW7TF/PSQc8DcB3//hlcoVy76NlSeZUvcT2xvXkM3lu6fm9sgrXNLszWbDPnGV8btHLrH0nyiUPfBuX10Wg2k82ZdDbkWLXxjVcdNFCYtlmzrthiJCblBy4Q4LtQh2sXh3nz69PoZAt2Am1Sqr1pffg2rQUs6qZ9B7fLC1atD6flnyBKYEoG6Iu3vbvV7qmNBuQadn8MMHUBgZcE2iffJgtHG2Wzv8HufYA/E9dg5aKkp+6G7k5B4GAuuYCDRPyaLrk0qO+Q7WvnweWHcmDy44qL2gLpvzmuK/jcWW58+XjeGLFIZUrF/C7r34VhODWF07guVX7FA8cAG5Hjl9/6esA3PTsqby6fnHF4lW+AS7/4ukA/PaRs3lry/yK6XXBLn585LkA/OaRH7Cma04pkRcaTIps4MtzLuWZ+6q59Z0LiDGxYnk9ugHfSzcDYBx6GrWzgoTrDAp5QecmF4kV6/C+cjsAyQPORrorGWGO9uV4X78bgMQh54Ne2Rvo3LQUz3JV/5349I9Lx0TYyrW+Ta8Q2vAUwuOle7czyiVMNlBX0/UyNT2vYrkCbJj9tTLgJtWzM7j+KbwbXyLrDNG368mlZ24x3Mvvw7VpKXpDK+k9v4HuqKxHau58gkbrbSbvrvNk/Gv281htw7JgvvEnqjJv0s32LPd8HSGUI5XStpHs47+aFt8qNsuFvJj4GpomK8x2jpr4M+o8m3g7tgfPdlc63AB8YfJFVLu6WdZ/AC/1Dr92v7fvWcxf0MGDy47kvteOIp3USSV0UnGddEIn8O+fo1kFMrMPIjf5U7i9Fv6gic8ebvqW2ubNT5/EcysrezXdjhyXHaEebLe8fAqvtylb3iKIU+3r5+fHnI7ugGsfPZvlbfMVwKApcCfi6+L7B50HwO+e+T5re2dXMF9aqjdwxr7qnF/5xI/piE9G02xQB5he/y4n7/4zNrzr4arnf05vsoHqiIE/ZNK+0c0k73KO3u5qapsK/OSh35AsVFe0f4pnCd866FpmzEtz7p03ks271fWBQkAWtT7FUfNuxrLge/+82e6nKKMju095mENn30HO8PCTR39nX5sSh0OVzh2+0z/49Px7iKXDfP+Oq4chIp/b5XYO3OFBumKNXPSPXw47d8ft9if2nPUkG3un8LP7hluynrjX79h12gus6pjDrx8+f9j0U/f/NXMnvc6bm3biusfPGjb9rEMuY2bTO7yydjf+9MygkmMbZPv+Z35Ea916nl25L7e+MFys8uKjzqWhqpNH3zqMu5d8adj0nx/zHar9/dz/+pHc/8ZRw6b/5rhv4HFl+fsrx/LYikOHTf/9Ccri9ZbnT+S5VcOvvauOV8+9Pz51KkuGPve85efetY+ezfLN8yts6+uDnVzyefXc+/VD57Oqc07F8pMiGzj/sz8E4LJ7f8KmaGvF9JmN73DWoZchJVx09y/pjjfaK1ejHSa8wbcPvAIp4bw7riGeqa54ruw89UVO2vs6AM645UZyRuX/xT1mPsmXd/8TAKfc9Ndhx+aA7R/i87veRjbv4Yxb/zBs+mfm/4PP7HQPA6kw37/z6mHTPwnX3vSGd3l5ze7c/Owp6r4CNM0CHPzg8EuYPHEez749i1uf2c1mnGg286efi486i4awk0ff+Rp3v7QnYJXnweTnx1xAde0i7n91Z+5/da7SQqFgA3uFUa49URp+f+LJgMYtzx3Pc6sqATG3M8dVXzkHgD8++TWWrFs4aGqBKl+Sy7/0I5B5rn3k6yzfvICiADRI6kN9XPK57wI+fv3QD1jVOcNeVl0gkyKbOP//fgEyymX3/sy+9gx731zMbFrHWZ++AdD40V3n0B0rgmhZQGPHSes47aAbwNzEeXdcz+UnvoYWHP7O/98QHxRIGcqjG4/xGI/3EY2t9cR6YqxdtgHLmrPV8hshBKdedQKPH7uE7s29zNhpKlUBpZQ+ub6GI49X4lDv/hX07splZ02o42tfULWV6/8IXQOV0+dObeLbR6okpv33EBuiZ7rr7Ba+/ulPqelXQ3YIaL3njpM5/iCl4TEyiDeDo/f5UiWIJyWWpZLtfU5qYbfWw+juKXDNk00V5RamYTJ94hxq4wbdAwKjoDRfjIKBZetm9K94iVnVMXY+aAHLg814Qx48Pk8pGV9wQBOL5sxj+6MgdSfkM3nifQkS0STJgRSb3t5MKLOZ1kN3oNAUwRv0lFyGLEty8qU/YmJVhlfehbteDCqnJFkGio4++gTCziRvdVXzzObmElBk2r3RCyJzkQNdrDM8mIZJIZtXLjumSpjvfuwBtFyC3Ix9yM9sRehCMXw0DZD0tEXZ8vYG+iYEyLf6K68LXXD8dddS01hNe/1e9PlnVoBompXnGzfegFkwaW85gExkdkVJlVfLc+13n8btc/NWYQE9hTo0h4bXFvwVwsPtV8KtP21h0W8+Aw5dMVasmKI1W5tpnvAmgc8mePWxLkQ2gK4rgVKAmvo483fvAOChmIGI2/wk+81xSovJgXvncLgcPHtXgVg6DaTLumTGmrK4mXUIWOWXOg2oa4xy4O7KSemff86rHh2gqNko82+TG3iA2loPVTXKrcHMp/F4JROnwcL5SyB6PjIVxspeh6KwuhC6ByGchPzLmbPju9RM9PJgZ0N5xWiAky+dVc+iKZNY3RbhyoddykXHUAwH0zDYIdBGbW4JVTNmk8w5cXlcOD1OHE51gE69aDbzptSybH0t1z1QTqakJSnkDQ49vB4623hzc4rX5aAbz6a+LDwsgd+IsVmkWO0xSnonxfHcPZJ4zTgd/gybggpAzKYFW9a7CFSZvPxYEL/DYnXUR7zfaTPNymw1S/qwaED37IHUmshn82STWfK5Aki447e1ALyR8dNTKItRAjiE5MHbpiAEvNXup6eggAin24FpWCQsN4/dFWavzw5gmhCLutF0Fw6XA6fLAY4Ajiplpa45dwQcCJEsYaG1AAAgAElEQVQDPaLo1O5ZtOx6JPs1Rll6l5NN3YJcRmk+FTJ5pFbODnMZjbbVHno7TZpb80ycnmPijgPok1xsXNXEmpCPdAEcTok34MDhlEyaKNnz0ATBUIa/dWXJ5iVGQWAYAqMgiLgkE2pCSBnmtSovhayyS7csS+kl5gokB1JIXVmpa3bZlNA0NIeOL+SjMVAP3hDtPlcpmSkCJg2tddRHppAWQbIhH1B+5liWJNIUptrbjFVTzwZdL4Hjxcs/n8kT7TNpe7Ce6IzifaMYUmbB5PmX/Di6I2iTa4nPcylHuEEJ1f0v1uLoS1JoriW7wF0CgIpA0S13TceR8JNpmkhilq9839nxx1umoqWqyUxuIj3DO4zScOEfZxF01RPcq4H+Jhf+oEldc576FrUbp520mrZ3NF7s7efdTJlVaBqCRL+DB2+NEGko0D/goJCvRAKEKYh2qnssnRTDpmekzsZVHjRdkoxrGIbSyUFCNqXRG3Py7ANKN2NLr5tYvvK1V4u5StM7e1yYAYGlQSyq5tuccPOuz89OeyaY1J3F2Zcnk1IAr1mA5csCrLmmFYDkAR6ku/LeSbQHOeu6Gbi9JuKLbpx+p834wW6zTi6j4QuaOJ1FgKt8gKsjJi1T8mTzGm7vyLpRJWDog9JK7P81xWcOYLsKQpFwWWTBFJ9NlrR1igaxVAfH1qYLSQWoVVy3ZWLrKAlifTrugk4qrmGMUDqYTgqq7X+lpiHIpgXZjEYuo+FwSjavczF99nD24kcVFeVpYzgf6952c9PPmngrEiTvc+MNWNQ2FcikNPJZDWkpULD4rNKdEiEVSFiM5ICOURAV5wbUWAj7HFrq+AyOXFYjGVfvqpZZBic/kWLXNvAGlBh1ybhOvF8nnVRMO12XFVVfpgmFHJiGet5il/1ZpkDTbYeo3GNQyIBVBLkKtoCzUHo/1gYoLAVrNmXx6SLgEIfM3ZAXYE2gDJIwaOwZZYcsxTJCosCJIYwqWbBFerHnK04v3pjmEBHfoc+GIsMnjXL7GcrYKlDWGhrsfmWp9si47ZYFStjWN2hZWwS4yMKReTDWjrKf///HOCNlPMbjQ4qHb3qSK066jnNvOo2DvrrPNufv6+zn1J3Pw+11ce2SywlU+7e5zP+vYRom8b4kvqAqx3k/kUllef3x5bzywGu88vDr9LQp6qgQgomzm5mxcCozF0xj5s5TmTa/VWmsfEhhWRbxaELphAzSDumz9UOKoq0DPfGShsv7efYKYevlODT1olBM9sawquILlcfvZvqCqbRMb6R1h0m0TG8saaH4Qz5euHcJFx3xC876wykcetL+7+NofPCQUtK1sUfZeiezZFNZXvjXEu697t9M2XES+35xd/LZAplEhlhvH/l0G+n+tVTXpmiYkKeuRTE16lvy1LcUcHnKB8g0NaRl04mFA4STfM4ik8gRDHtxuUG9ZBRQLyP///yPvP2qem7+RRMen5tIU5iWmU3UT6wlm86z8tU1tL2zpWJ+TdcIRYLk0jkyySzVdSH2//Je7HfsHvzzmod49C9P0zytgc+fdThLH3uT9nef4ae3rcXthZ+duh2vPlFO2CfMbGL6gilMnz+FWQvr2X6789E0C1H7L4RWPVJzSyGlJNYbp3dLH53re/j7r+9jxfPvUj85wiHHZjnkmNeINGRpW+MmUGVSFTFGFKzNJDUSMZ1AlYUvMHJ5ZS4jiPU5yKY1VaYiNOXgIXSQGpZUJSxGQVLImRRy5fVomhjmqObxu5UTlK0Z9WFEIW/QtaGH6JY+JBBpDtPYWoezmMQ7tiMv9+PPl77DPVc9iNPjYtFhC6ibUEPXxh461nXT9u4WxZhDCXRPnTeZGQumMmPhVGYsmMrk7SYMY8a8l5BWCgpvIPOvQH4JGKsY/rL/EYbMoejtQpUJuD6lyhWcOyO0kf/XSllAdu8M3qPRQhcOmZaB3IvI3OPKfcOKqnW7dkW49wP3vqqE44M0WdpJVSnB2kZEj1cCq1U/GrIiQ9nvFt4C2YkqnRghsjbl172P0oAw11EuCxD2/ujKcUSfrVxgHPOUEK3WqMpQ3lcUIL8MjBXln/SZKKvcNZSTOg+I0TulSiEtyloqFpXHTlDhcvSBw0YqRBBcBwBZdXzMTrtUZxBILiLgGc6CUWhVUq0qeAGaPgh4T/0Jmfi50qmQCWTvYWpC9e/QPPsrQVxzPaL2QWTyOsjeD3orInwDUloQHcw2dClnHGMwfVVQLpFygXArwKAoGIzXRrOiShCWLOAHUiCaFPhdOs6o/5MyZQ/p8u+41bEQ/lGcggY3ya+0anL3g2tfhGv+sFlk5n4w1w5avwdcuyDcuylnIsds5YiULtLsB5W3aHXg2hnhXAiuXZD6FOheCP4T0ILnDDotOSXS6piCVqMYOtLsQiavhMw9IKohcDqkb1fHxf8tSN8Gxtt2uxzg3B6cO6t9TvxECbeaG8u7WnUFwjuccTrWUALAf0A0vIYQ6h3WSt0CiUvA/Rm08K+R2YeVEKz9DBT1L4/4P1Zm/omMfU9dS5n7IfV72wLbh4j8A6EFRl8mcg/CuT1W9PMgXYjInxBiNNDokx3jpT1jiHEgZTw+jrAsizP3/CHtazq5aeXVYwJGVrywknP2vYidD57PJf8672Ox7v1fiWhHP6uXrmP10nWsem0tq5euI9quEPgiuNI0taHimI/0PBSaIFDtJ1QTJBQJEqq1x5EAoUiQKvv7e3EAklIqi2TbdSmTKovkZlM58rY7T84eCra+g/qsxlKC2+vC5XXh8jhLn4UmwJIYhkkmkaFtZQftaztZv3wTuVE0Zorh9rqoaQ4T700gLcnxFx1N8/RGGlvrqZ1QQ6Da/7GIHQ+Nx299lsu/cg0LD5rLxf88D9eQXl9QukTn7n8xa9/YwFl/OIVQJEjvlj56t/TS39lN75Y43W39RNsHGOiOjbqt1h0nMXfPOTRPa6RpagNN02ppbA3j8ek2ZffDSQaltGxhTEv1LiHJpVNEO/ro77SHLuVc1bGui+6NPRgFs6R7VNNUTf3kWoLhAEJAtGOAvo4+4tFESadD0wVurwvdoSMtyYpXdXKpbf/P9wY8aA6NdDyjSpgG93La4XQ58Ff7SMcz5LMFJsxqZv4+25OIruSrZz5CpDHPk/+chiVdJVZOLpUll1Evt5HGAoceFyUxECCbieANOvH4HLg8GkKY9jExAPuz0DFNB53rB4j35ahuqKNpygTQXIADzDYss0C+UEcu4yHaKXnlkbXEewWB2hZWvdpDLqOEiTPJLA6nJBAy8YdM/FUmtY06kSYnVRHwBw00Xdq9uBIjLzEMA8swMI2C7QYkS2BNWSRc2D341ojOVkITFXpURdHZomC3PqjMcWjZo6YpFl/v5ijRjn6klITrq6ifVFsGUEAds8LbQAG0FhLpPfjLz2Lc+4d2ps5r5fTffp0ddp+NaZq0vdvO6tfUM3LN6+tZ8/p6MknVe+/yOJk6dzItM5pomFxH45T60lA/sXZUkCWTzNC+tov2NZ32uIP2dV0k+1NMn9/KnMWz2G7xTCbNaflInyVSFpQuVP5FZP4lyL+mjgkOcM61LVYXK1vf4jL5tyF2KoQuRpRsYEdatwUDZym9B71RaTJ8YsMNroUI9x7g2g0csxFCQ1oJZPeu4P8mWvBMlTD27An+7yr3l9wzkH+2pK0FKMta506QvRd8X0cLfe8DtUyaUeTAd5R1K25UzzlAEEiACKgEv5T4O+xxUS+l+H3oinNgxUHG1JjM8Hk+MeEE914Iz6Hg3g8ZOxeMNWh1jwJg9Z2iRGO1iVB9JfR9GcgiAt9FGush9zyQU8DMVkMowELmGdk2/BMS+izwHgneI9H0cOlnq/f/FFil1SKCZyPzLyhrZWONmkGEbbA7r66Z8J8hepgS8tXqIP+qLQ4LZdcpW4y4IsxRpkl72uB/hJo9nxxhGC2Gbm/QO78+STlYOXcaFZSQyWtBZhCDAaD8y5C5HbSJCLu8Rlp9kLxBAan6DAh8A8EQp6bM/ZB/CiJ3Q+x8wIEInYvs+wp4PotW/Yth27eMTujdC3wng2MyJK8Fawv4TkYL/W+W9owDKeMxHh9irHl9Paftch6fPfUQTrt6eL3vSHHP1Q9y3Rk3/UcZAP8rMRRc6d3cN7yXeMgPlmmR7E8RjyZKScZI4fG5CdYEKodw+XOoJkCoNjjIkrkah/Pjqa5cv3wjJ88/l6PO+DQnXPrFUo/0mjfWs375JtpWttO9qZd8ZusvWEJAsKYMIgVr1DhUE1C/1wZpmFxH87QGGlrrcLpGeMl9j/H0XS9y2ZeuZO7e23Hp/T/YKmOpvzvGdxafTzaV45qXLqOxtX7E+fK5PA9c/xg3/fB2CjmDxYcvJNIU5qk7X2CgOz6iwHC4oYqmaY2EG6rwV/kIVPnxV/mGD9V+dIfGQHe8JDBddDIqspMGumLEowkiLTW07jCJ1u0m0LrDJCZvP5FJc1rw+oe/RJmGyZY1nWxc0cbGtzez8e02NqxoY/PKdoyCiS/kZdr8VqbPn8L0ndQwaU7LsGssk8zw5jPv8MK/lvDW8++yZVU7pmHZtG7x/hyPhgAt1bUFfnzTBuYs/OQ76ow1CnlBKq6TSTnJZlzkMm7yBSdIYZfoqPJFs2Aqh7BBx0MIgcurtJB0pwNd1yocqEzDxMibI4IvxdB0UdJeqZ9Yy8RRrhO7tcoq1uqymRMS03TRvVmns03DX93I5O1n4QnNVz2ojjkILYBlWWxZ3aGej0vXsXbZBjrWdtHT1lshJK7pGvUTIwpYaa3HNC22rOmkY20n/V2VIGVVJIjb76Zg27mn4yqp9YW8zF40g+0+NZPtFs9k9qIZBMPDe0A/rJAyA/nXkPkXldhmYQUfK0PmvYY+yRbdnIkQw/9PSKMNMreC92iEY9qoq5Fmp7IvNlarH7QaBaiIMGT+igj/FeFWujNW9HOAhhYpu51YZjfEfwm5f4HrQOVOZHUiqn6F8H72A++mlHlk9yLFaKi+EWGuRuaeg/xL/He4DW0ltElKyNW5nX2PDXHzs6LI7KOQfVixWnABFjgXIMK/V/dk7ELIPgR4UQKtJmitoHlLbBIRughyTyKNzZC5DYIXQPIPNkMkSQk4cB+AcO+OFDWgBQA32O4xQqYUGGMlUMBMEVAwkVbCFnHdqNro3gsc07e9/8W6pG2F2QW5J6lwngG1z45p4NpFuSShg3MHhH+Q0KwVswVsV9mgigH6RETgZGT6dsWGC/0QoYUVuGCstdlQy5VjzTDWhaUccURIWQoPa6ttwV0E55yLwDFRtVXYDCppKreb/Eu2a9Z/U3hsQCqlbJ/1Caq0x4rZwGSMEe9L96Fo4as+9tZ+GDEOpIwhxoGU8fg445pv38j9v3+E65b+gmnzWrc5v2VZpZ70G1dcSW1zzUffyPF4X5HPFUj0JYn3xolHk8SjCeLRBLHeBIm+pBr6k6XP8b4kiWhiROtlgOr6qkoXHNsBZ/J2E5g6dxL+qg+n3Ov8w37KOy+t5s9rriFUM9yaGVSCFm3vY8OKzWx4axN3/upe4r0JdKdGPlOmKweq/fhCXpxuB1JCPpsnNZAeBjIJIaibGKF5WgONUxpshkc9TdMamTS7eUylVS/8awmXHH0Fcz41g8seumAriWM5Nr6zmTN2v5BIc5jfPHfpMGZYrDfOVaf+gWf//hLbLZ7JuTd/mwkzmgAo5Av86sTreOK25zjsGwdwyIn70rVBlUK0r+2kc30XAz1xUgNpUrE06cTYejrdXlfJAj3cUEW4oZpgTYDutl42vNXGpne2UMgVSsetaWo9k7efSOv2E5k0ZwLN0xtpmd5IKBIcxlozCgYDPXFqGqvfVw9/LpPjzWfeYclDr7Pk4ddJxdIc+JW92f/LexEMB5QYb96gkFP6IIWcQS6TJx5NMNAds4c47es6WbVkLZlk1rartkYsrxkamibfk6NNMBKkaVoD4bogNU1e6ppdhBtc1DXnmLfT9fR01HLPn7ajY21nKWkHQMCEmc3UT6pl9WvrSUQTAOhOnT0/v5jdj9iFSJPqAZVSkk0OkBroIpvoIZ+OYuT6sYwBkAk0LYnDkcHhzI/KPhkcyjENLLOoRAlujwu3Xfrj8bnRHfogMMYelwZbNFtKAtV+PH732MtupKkSJJlAyjQCBQqZJni85fe/Qt6DaVWhOWpweusRekQlaoC0LDKpLOl4Rrln2eN0IkM6nkEIgb/Khy9UBBS9OFxOetp62PRuO0bOoFBw8cy9fiKt+zF3z+3ZsKKNd15axYa3NpVAmomzW5g6dxITZjQzYVYzE2c1M2Fm04f2HKw4LFZcJVlWf/m39F/A7EUEhwtXDlteppSbims/hOeAD7dxVhcy8w+lQSCqwft/CO8xCOeM0iwy9Rdk4lJE3bMIvWHb7TW7IP8CMve86sm3etUEfSq4lG4ahSUqSXTMAiupEluZGmWNTtDCyo1FhAaNAyj5RU0xRtBK30Xpu16RYMv8W8ruV6tD+FUHlJQFW5uhOJOFSvBzILPl8YdafulRyePWrGmN1ZB/Uu2rjKNKoFpsPY0elWwWwzHDLo+xE099KrgWIJw7qSRdn6rYQdJSZXDpWyF7n72wG9x7q7IcvQlRfRUy+mVV+qS3grkBCIH3ULSqn6hDlLwBmfwVon4pMvU7SN0MgTOVrTIG6jyM9C7iUACbFlGDGOV/c+55FIAgbbaQ3z5WTgZb61b+NsZne+FNlaQ7F4DZAbLXZtn8l+Wootq+LyKDwNoi08oLvhOosPQeBFgpBXG7pMrcRLk0aooaKEDuYXAuhpI9tAmZfyjGkrUZtCbw7A3OxQhnKzL+S8i/rM6LTIP/ZPAcqvo++o4F547KOjr9J/Aeo0rWrAHIPa6ub8f08rVudg26vgV4j1PtSFwKwZ+g+b/wMR3kDzfGgZQxxDiQMh4fZyT6k5w4+7u0zGziymd+MqZynS1rOjh53jksOHAuF9/zvfESn/+PQkpJNp0j0Zck1hOnr6OfaHtx6CPaYY/b+xnojlX0/DZNbWDa/Famzp1ssw1aqZtY+56uj9cee5PzDvoJ3/zF8Rx9zth7EFe8sJIz9riQEy87lv2+tAdrl21g7esbWP36Ota8tp6ezdHSvE1TG5g6bzLN0xrJpXPEehPEeuPEowpgikeTFWVFQkC4KcykWc1M32kq2+02k+13m0V1fVUJDHjlode56IjLmb5gKj//94X4Q75hbRwt3njyLb5/8KXM22c7fvrA+SVWxov3vcqV3/w9ib4kX734Cxx97mfR9cqE1LIsbjjnL9z9mwfY5wu7ce7N3x6xlAjANE0yiSypWJrkQIpUTAEsRt4g3FBFdYMCT7wBz1bPmWmYdKzrYv1bbWx4axMbVrSxcUUbbSvbK5L0QLWf/8feece3Vd3v/30kWbbkvR3vmThO4uyEDBJIwi60YRXKLpRRZtkFyiy0bAplr5ZVvuw9QgIkIXs4y3a8996ytaV7fn8cWYmxQ5yQQODn5/XS68pX95577tWVrPOc5/M8idkJiljJ8i1zRpGUk0BEbPiwr8/BgqZpfPHi1zx/02s4bE5mnTiNUZnxRI2KIDQi2EfA9NHd1kNHQyedzd10NHXRWtfuN5w2BOgxhQSBECqu2KeSMhgNeN0eZbys12EKVdfUaXP61UOnXtrKn25v4snbD+Prd3VYu60c+8cF/OayY7j3jEfpau7mvs9uIW/2GApXl/Dps1/xzZur/Nc4JjmatLxk4tNiyZyYRu70bDLy0/b4/u9+3vZeO71dVvq6rPR1W+ntsmLtttLdZqG6sJbyzVXUFtf7DTcNAfoBMdWB5kBcDtewFUGBJiMxydHEpqhHXHIMIVHBrP9sM1MW5nPKtb8ZpAiTWjc4lmLv/ADcRWiaF6QbodNU3LHPBHXXeQEIvyntcL51+lUz/Ua7ikQSIDRl0+gGu9WAPiAMU1ioKvtyuHE6XLgciqzzuL3s7kyqkrMMKiXNaMAQYPDHcesMuj0QiHoIyEUETFLKjoCxiB8YIEvpVaUuQcehC//7MM4UtI4zQDrRxbw/rO33BVJq4FqLtL8Fjq8At5L8m06HoOOQvfeA8xtE7Jp9/r0gpUS2HwXo1IyzuwA18A1WMn3DGDDkgi5CeSuIcKQwgeNLVQrQD10s6OKVt4bsU4MtrQ9/eYT0MNC75BcAEQbm0xHmcxD6UYNeln3PIPsegdhNCK0Waf9IqTW0VsCsSjO8VeCtR8RvV6Umnh1KDeUuAFfBLuWFCPYNvEN8A9ge8JaB8XCfmWeVIrKM8xHmPyCtL/jK9hz4yZmQG9CF/AkArfsmcK1CF/cd0rUR2fkHRcDoMqDzZBSJYvIRJhE+MiTQR2ppqq9aH3ss/dEsKk5ZRPj8N3yllz/be/v9+973nRG0GIIvQKBHWp9R70/EMwh9ktrKcpdSVUU8PWSrUtqg51pFZAYeBcEXIcQQfiHWF8Cx+2ffqIgHXaxSGHlKfJ+Nn0mZaTxc+UPZnoOI58D2X6VOCzoOgq+GjmMRobcgvbVgfxcRt8H/HSm9zcj2k1D3hUW1FzAJEXQiUoSC5UZE5CtgnIJsmYoI+TMi5LI99+UQxgiRMgyMECkj+KnRbzx743+u4Khz91xrvTvefvhjnrvhFW554xqOPGPO3ncYwa8OXo+XjqYuqnfUUbGlmoqtVVRsqaahrNnv3xIaGUzWpHRGT8smf34e4+fm7pFk0DSNP0+7ib4uKy8VP7ZPPi4At/7mPorXlPJKxZODlB1drT3KV2FzlZ9caaps2WNbQgjl3yLwD5qHQqDJSGhUCN1tFkZlxHHhP85C0yQ2i03NiFvs2Cw2rBY79j470aMihyyLWfLfb3nwgic59o8LuPThc3nqL/9hyX++JXNiGjf990oy89P22AcpJW8/9BHP3/QakxdO4I53r98nIudAweV001zVSmN5Mw1lTTSUN9NY0UxjeTMt1a0DSLeYpChGT8ti9NQsZRg6NZPIuJ+HXOlq6eb5m19j/aeb6WnfNaucmKWIwaxJGWRPSidrUjrRiVF43B5qCusp2+zz6thSTeWWahw+8k0foCcrP42cqZkYg4x0NHZRtKaE9gaVapCZn8aEw8eSMSGR2YffRW+njatPHM/CsxeRlJ2Ax+Whu93CFy8uo7fLil6vU4P1YUAIQURcOCm5ieTOyGHaMRMZPzd3v8rW7FYHlVtr1HlurqJ0YwXVRXWDyBMhlJdLUHAg5lAz5rAggiOClYpLaspvxu7G0efAarEp8qbLOsDjSQhBfHqsn3RLyhnlJ+FGZcYPIocsHb3UlzbSVFGGs2cLOlFCsLkOl10NAnR6HWExoUTEhhERG05YTOgAVUxvZx81RfW01bUjdDpGZcSRMjYJc6hvdlt6QGvG66xBJ7oQAqy9AegCUjCFZ6oZfR80r4a9z4G9164+57upX/qVWwOul05gDAzwx8kHBAUQHCqIT24jKKhfcWKEgPEQMBFhnKwGBfoEfxvSXYzs+C0i/EGE6bfDej9l37PIvocRsSsGtHWgIbVOsH+AtL2lDGFFCKCDgAnool7e6/6D2vO2ItvmIkJuQPgG4eAjWNoWQMAYdJHPDN6v70lk379AJCOCT/OpZmqUgiHwGIRpMRhnIoYo51D35u6z8APveenaCN1/AoIg+iOEPnafz+tHw1OCtP1XEUYICDoWEXwBIiDfv4nWfT241qOLW7Gr79ILrvVIx8dqX9kLhjHoYj4edAgppVKTuAqQnmJfyUSvKqnxFKtBtwjxqXGGS1D4ynxkr+q38KlOZTd+gkz2p7cE+trtfxzsMWB/kk1/4s1Qm4SC7ISA6aqMZyi4doB7hY+kaAMCFNkXkK/iisHnibRSPdenIYIvQBrnQfvxEHQUuggVRam1HgnGSegiHt1jr6V0IPueAOuLypcl7G5E0ILB23lqkNb/gv1tdilPfEbNmhVil0Lb7IE7BS5AhF6PGE55FCC9Derzb38PMCBivvCTp5rlHrC9jYhfB1ovsu1IMJ2I0Kchba/5rhVgXAARjyJsryD7HlOqGa1dlYFZXwV9GrroFwce17kS2feE8osKOhFhUImiUutDtk6H4D+hC70WqdkQup/+99GBwgiRMgyMECkj+KmhaRrXzL2NpspWXt75r2EZz3q9Xq6ZcxtNlS28UPjoITHDPIJDA/Y+O1XbaxW5sqWaiq3VlBdU4XF70ekE2VMyyZ+Xx8QjxjF+bq7/fvvq1eU8cN6/+etrV7HgD4fv83HLC6q4bOqNnHXbKZx/9xl73d5hc6J5Nb/xpk6vU0acOt2AWVO3y01PuyoNqdpey8715VTvqKWxooXOpq69lkoEmoyYw0wEmgPpaOwaUBaTkBFH+vgU0vJSqNvZwKoP1hMcYcZusXPGzYs5+/ZThz0I/uqV5Tx04VNk5qdx32e3EBn/w+kyPyXcLjctNe00ljdTW1xPeYEamNeXNvkH1LEp0YyelkXOlExGT8siLS+ZmKSon8wwWEpJR1MXFT5ypGKrun8by5v92wSHmwmJCMYUGoQ51IQ5zIQp1IQpOAiv16f06Oyjs7mL1toO/3sdZA5kVFY8ppAgejv7qC9rQmqSGQst3PNqFc/emch7zw1vMKYzqPvT6/aSkZ9GbFI01u4+ulotdLf3qBKh7/1UCgoOJDoxitSxSYw9TCmqErPiiRoVuU/X1+VwUbmthtbadvq6bfR1qSj3vi4rfT3W3dbZsHZbfSlWw0v9MoUGEWgyYu91+BN6YJdZcWhkCMER5l3LiN3/DiY0MhiD0UBLTRu1RfUUrSmhYks1mibRG/TkTM1k/JxcyrdUseXrHZjDTJx02TEsvvp4ohIi99gvzdNCxbqnEc6PyczrRdMEXt10jGGL1Uy51g2yG6l1qYGm72+0bjRPF5rXg8sVisNmpq83CEunke42A+3NgtY6jc3xsw4AACAASURBVKYqN7VlDpx2D1FxbsZO9TBpno7scTai49vR6XzlDbpYNaCQbqUAkN0golADTLdvwO9GSWv6k02CUD4CJrXeU6hmfQ2jfTP8w37r9x0SpXzwlCsCIyBfedzsKzxVqrwn8DjQRwEBiKDjEcZJvoHZW4j49f5UkH5oXReD8zvfoPRf6h50FyDt74PjMzWQF+G+a6PzKR36B9G+52K354P6VQM41MBflzTIr+ygQxeJMJ+JNIwD2+tqcCz7lGdJ8AUQuAjZcRroItBFvTRkE1I6lceGPgERMH7Yh1Yk1mwwzkUX8aBP0WVT11T2Id3VygjZ9HuEcTqy7wWVogSqnMM4UyX4GDLB6BsTOteAtwFMp6j72/mFIh+MU3Y7sNd3HKsa+EsrQ5f/+KB1Ke8lfapSW/zgSWlq2/5yEBGqFFD6FJ+SyQBIpbjSGkCfigi7E4xzBqmsNMt9YHsTEb8FPEWKvHB8pvoauABhPhfpXKLSdcLuVaUq7u3KC8iQCe5NiOhPQJ+IbJ2CCPnLsBQU0r0d2XOLUpcEnYgIuxWhG1x+LzUL2N9G9r0McjdfFBGlSKJ+mE5VnjjSBqaTESFXDZuE7f/O7782QxGfWs8tYP8YEbtEKY8cnyB77gQcoItGmM9GGsZDz3W7lCaAUqclqvQkfSLokxD6RNDHMVTql7TcB3gRYX9TK/SpfqLll4YRImUYGCFSRvBzoGxzJVfMuJkTLzuGK564cFj7VBfWcdmUG5h32iz++trVB7mHI/glw2FzUry2lG3Li9i6vJCda8twuzwIIcialM7E+XmseHctEXHh/HvdP/Z78Hz36Q+z8YstvFLx75+E3PO4PVTvqKO+tBFTSBDmMDPmMDXADg43Yw41DTBQ9Xq8NFY0U11YT01hHdWFtdQU1lNX0uhPrwGIT48ld0Y2GePTyJiQSsaEVOLTY/d6XdZ/XsA9pz1M1KgI/vHFbSRmHbyZ5wMBq8XmI1UqKdtcQenGShrKmvyvBwQGMCozjsSsBOVbk6X8axKzE4hPizkgBsF7g63XTuW2GsoLqqgvafT7bSjlgQObxYa91+Ffp+2DAW5wuJl736gmI7eD/z13MabQJKISInwmz1FEJoQjNUlbXQetdR2013fQVtdOc3UrBV/voK/LihBiEFFhCgkiOFwNHFwONw6rA5fTPYhg0el1RCdGkpKbROqYJEZlxZM3azQ5UzMHlZHtL6SUyri11877j33Km/d/QFJOAufcfhrGICP1ZU189NQXtNd3YjQZB5hIB5oDCYsKIdAcSKDZiN6gw+vWsPpIG2uPbY8kjTnMRERcOMagALwetU93Sw/m8GBOv/5ETrr82H1SbtmtDj558jlcXe9w5OIuElK/nypm8JUghKulzuc/gACtUxnpah3q+R69PH5K6Hy+Mns2xD4kIG0o/wXf97m0A04VI2s8HPoeQEQ8M2AGXkqJbD0MZBci5BpEyJ8HNikd4FiqEkT8pT27qx58z/3KlCGgdYHb91vdkAe+UoyfDJ4S5U2hT0UE/xEZeDTC8YnPO6dekQDeVjCfiS7s1gN6aOmpQLYfhwj7O8J8+uDX7R8he65HRH+ACMhDs/wdbK9A4PEqjhufR5luFASMVfHU0qLIldBbEIFHIK0vgf1NCH8MEXTU/vVTOqBtERjGIaKe3cvWAiEMyhjZuRzpWg7OtYBTkW3GWYjA+UhPjSI+RLgiXXSpEDjTR6r2KTLLuQrwguk3IEIRujAfkbdVmUfLXkCnTH0j/qVuM882sP+f8ggBEAkQcgH0/gNC71GpXcM6Z7dKxbG9rsjSkKtUuZUA9LEDCEcpPciev4LjQ9+a/lQfXxKQcToEHQ+Ob8G1XPU56EQw/wGh27ffV9JTCd2XQMhfEEEqJlt666DrUiAQQq5EBB2JtL4K9ldU4pa7ADAqTyMkBJ2kIqNNp6pyLW8DeBt9pWrDL9kaLjF1KGKESBkGRoiUEfxcePLql/jw31/w6Mp7GDd7zLD2efXut3nlzre456ObOew3Uw9yD0fwa4HL4aJ4XRnbvi1i24pCitaU4nZ6eHDZHUw8Yj9mLX2oKa7n4gnXcvyfFnHxQ+cOy/D1UIDb5aahrFl5juyoo2pHLVXbaweUH5lCgkgbl0LG+FQyJ6Yx6cjxpOUlD5oNK15Xxm2/+Qc6vY7LHjmP0dOzScyK/1mioPcHfd1WyguqqCtppKmimcZKFU/bVNHiL58B0OkEYTFh6HQ/PBMsdIKknFHquuWnkZGfRvq45GEZCO8r+j2GbBa7Mvi12PxeNDaLnZ6OXhrKmmiqaMHr1VQMeEA9tz71NUvfjuLR65IHtRmdGOkvgxo9LYvR0zKJiA3H4/bw0IVPsey1lWTmpxGfHktoZAgBgQF4PcrUt7W2nbbadnq7dg3cw2JCCQwyYrc66Ou2+smV3QmZQJORzIlpTJw/jlm/nUbujJwfdf+4nG4eu/RZvvrvcg4/9TBuePnyAZ9Nl9PNXac8yPrPCrjon2eRMzWL2qJ6aovrqSmup2p7Lb2dKjJVp9eRPi6FnCmZZE/OIHnMKGKSo3HZXXS3WuhsVulTnc1d/uSp/jQqa48q/QkONzP7t9OZd+osphyVv1dfmd1RX9rIk1e/SGf9OsxhRnKmTmbSwsOZsugwgob5fSOlHby7EStaF98fCGiaRkdTFy3VbbTUqIejz4GmaZx5ZQl1FcF8/V480quhaRLNq+H1amjarnZ0Op3fJDwqIYK8yaVERJWhBV6JQftKKVREMJh+hzCfNWz5/k8FNYt9BATko4t8Qq3TrGB/Uw20tTZAB8bZiMgXd81+e+qQ7SpVUEQ8ud8D8b1Ba/8DeLaCMCJiPvH7WvwUkNILzqVI6/PK/FQXhTCfgzT9HuHehLS+DO7NByyxaMCxbW8iLbcjYpYg/Eaiu6D13AmODxFxGxFCr/xQHB+BcToi7E5k3zPg+ED5AUmHigoelILzMyBwISL0FoQhBfB9Tl3rkM7l4FyuCKo9QqdULLpwNcAXgUDAPpY9HWSICEUgmM9CCKPPf+h40IUq/xHby0qBckia5hqVks7bgIhbM6AkT0q3uoe0dobqu3QXQ+9dEHItwjgD9IkHtbzxYGKESBkGRoiUEfxcsPfZuWj8tQQFB/L05geH9ePS7XJz+fSb6e3s44UdjxyUxIIR/Prhcrrpau4mPu3H15o/fNHTfPHS10rOPyWDcXNymXD4WMbNGfOLK0Gz99mpLlQDyartNb5lLRZfiktscjRTj57ItGMmMWXRBH8ka11JA7ccdy/N1arm2BxqInNiGtmTMsianEH25HTS8pJ/EkXHgYKUkq6WbhrLm2msaKGxopnu78XXDgW320N9SSNV22v9aU39aUMZ+WlkTlDkSsb4FEZlxg8/YeYAQrP8E2wvYw94lY62JLpbe+hq6aG9voOygkpKN1ZSX9LoJzri02IZPS2TnCmZNFe1UrVDxYL37UaYRCdGKjXT+FQSsxMIDA6ivb6DwlU72b6y2J8SFJkQQUxSFFJK2hs66W7tGfJ3tCkkiOikKFJzk4hNjibQZCTQHIjRZFTPv/e3OcxE6tgkPC4Pd53yEEVrSjn3jtM562+nDEnK7E6mXPPMxZxw8a7Br5SSlpo2yjZXUbapgvKCKso2VdLdpuTeOp0gdWwy2VMyyJmcSfaUDLImpQ9SnNitDrZ9W8iKd9ey+oMN9HVbMYeZmHXSNOadMotpx0wcljeTlJKCZdv55n/fsfqjjVg6egk0GZl+3GQOP3kmM0+YctD+F0pPFbL9mD2qAex9dupKGqktbqC2uJ7anQ3UFjfQWN7MxNnd/OPNSm4/L52SrSnMPErPotMaGDelEr3BS49lLA7vKYTEn0hIZMTPbiQvPdXI9qMRYXchzGcOfE06wf4O0nI/4ABDHiLkUgg8GhyfIXtUmpGIWbrfMn671cHDFz7F8RctYsqi/EGvS+dqZNf5gFEpUoKORwTOVt42P5SmcwChlA4bFaHi/FapJ0ynIswXqHIUXdyQPjA/Blr3teBar1KYdrtHVr67loz8NBIjLwZdjN8TR+s4wzfQbUbErQb7R8je+xBxa/2lJ1I6kJ0XqjKwkOsQWpsql7O9phQJpjOGjNbeG5QnzEqlbtDFQ9AJQ6oppNatFDDSC8F/QoRc/D31hgRvBbLrSiAAEfEAiBAkOrB/qFQqskfdf84lfk+fAWVPWq+v/Mn3nMEeSqovTui9T72Xhkwwnb5flWNSauBcAc4lqHs0xpeuFQXms0CfBZZrEGH3IsynAaB1Xa2UM+YLoO9eiHhSEYTSDtKB9JSC/WNFWvjTqBz8NP41EghEhN0CplOG/RlTseXTwXQyurA7DmovDzZGiJRhYIRIGcHPiQ1fFHDL8fcN22cCoGRDOVfNuoVj/7iAvzx36UHu4QhG8MPwuD1sXrqdHd8Vs2PVTnauK/d7VaSMSRxArIzK/OUoNfohpaS1tp1NX21j45cFbF66HWuPDZ1OkDszh2lHT2LasZPIyE+lrriB8oIqdq4vp3RTBbXFDf7SCZ1eR0hEMOExoUw7dhJHnTOfzPy0n4VI+CmgaRotNW1UbaulcluNUv1sq6GhrMlfjhNgNJA0ehSpY5NJG5tMWl4yqWOTSBqduE+qhX2F1HqR7Ucr08Go/w05gN29DKp0YzmlGytorNilWDIGBRCTHE1IhPIKcTvdWDp66ajvxOMrGzOHmRg3ewx5s8cQGR+BtctK0doStq0o9is+AIJCAjGFmNAH6PG6PDhsTuV1ou1W9y4YVmqPTq8DKZn5m6nMP202GRNSSclNHJLE251M+cuzl3D8n/Yc1SulpK2+Qxnhbqrwmf9W09m0KyI4KWcU2ZPTyZ6cSc6UDLInZxAeEwaoSYAtX+9gxTtrWfXBeno7+zCFBHHYiVOZfsxkjCbj9w/of2rrtbPi7TXMO20Wi86Zx47vdrLy3XWs+mA9nU1dBBgNTF40gbmLZzLj+Cn+qOoDAWl7C2m5DRHzJcKQMez93C43jRX1jAr9LTUV+Xzy+lxaattprWnD3tvIgpNbOOGcDhJS3LQ3Gfjq7QQaarNJG5tC2vgUMsalEpsa/ZOSK9LxJVifh/AnEIb+VJoAMIzxkwOa7QOw3KjKRLQmFduriwb3ZiAAEb9lv4mEJ69+iQ+e+JxRmfG8WPTo4GQpKZGdZyofF32yUvigqQFwwDRVjmGcpUo4DjCZMRSkuxRpfdEXSywh6Bh1PQ40rC+DfhQEHetf5XK4+L8HPsIceRin/PFDRMgViJArAdBaFbmEcxki7F6keys4lqCLXz+w/7b/IS13IGI+86ujpOMbZPclYDp92AlVQ0E6liB7bgb0iPD7hzZj9TYje+9XyTm6JETYzRB49G4+HxqydapvQP63gftqFqWSsv0HpA0R+bwyPt3f/lpfRPbej4h6HbEnU9vhtuWpRPbcDu71e9giGPSx6nPjKfEROONU6pU+S6X7/OAB+suBPOohvbstAdzg2a4+o7rvpUsJAwTORwSMVka11pd8ccp6CHsAoQ8D6UXa/6dUQf2Eii4REXIVmE4aFsGmdV4E3jp0sV/uddtDGSNEyjAwQqSM4OfG/ec9wTf/W8XTm+4nY8Ke00J2x/M3vspbD33EA0tvZ/KCCQe5hyMYwfDhcrop21TJ9pXFFK7aSeGqnf5Sh6DgQDVozkv2L9PykolPjz1gHhEHG16Pl+J1ZWz8cgsbv9xC6cZKpJSERoUQEhFMV0s3Duv3/RwUDAH6AYkweoOejAmpTFowntwZOYydmb3PEda/NDjtTqoL66ktqqemqI6a4npqixtormzxEyw6nWBUVgKZ+alMWTSRGcdNIi71wCZ1SNs7SMstiPCHEaYTh7WPpbOX8s2qDKq5qpXm6laaq1ppqmzxl7H0IyQymPi0WBx9Dhp8BrqGAGXCOm52LnFpMXjdKiLb0umLAu/so7ejF4vv0de952jM0MhgRmUlkJGfxuipGTRXt/H+Y5+iD9ATmxxNc1Wr/17TG/Skjk0iY0IqYVGhPpNngdDpkFJj9YcbaKpsZcZxk8mZmklwmJnMiSpWfW+qso6mLn9CV/mWKso3V/qVWQAJGXGMmzOGcbNzGT9nDGnjUtC8Glu/LWTF22tY9cH6AelNe4MpJMiXSKbIWc2rseajjXz33jpaatRxI+PDyZyYTlZ+GpkT08mcmEbKmMQB/knDhdZ9A7i+Q8Su3q/PpdZ1lSr5iF3hH9xLKVUpWE0z7t5lREd8TnxiyT63/ZPBOFMpcgxpSK1H+aGYL0QEjFURsp4SVWZhSEcX/e6QTWz4ooCXbv0fD319x5Dqoa3LC7n+yDvJmz2GotUlXPHEhfz28mMHbSedK5FdFyLC7lFRra71SNdqn3lqhdpIRIDxMIRxmiqlOsiQskf5dLjWsyud5SdG2P3ozIt9qSlTIPg6cPwfGLJ8scUCXfQbA3aR3mZk2zxEyPWIkIv967Xeh8D6HCL8AYTpd/vdJempRXZfBZ4in+rkGoQYTOhK5zoV2e0pVWayYbchDFkq9ab9qAEKjkH7ejt8sb0nIMT+/4aQ0oFsW6QUReH3IQJy97utXW26QOtAelvB/hHYX1Uv6BKU8kVzg2ejul/1MeCpAyT8WGNWrUf5mOhTfSVPu7/mK28MOgkRehPoIpA914Pjc1WKFH6/zzvlFWTv38E4D1wrUCbQmpp8CLlaqcF+gKyU1peQvf9ExC4fMir8l4IRImUYGCFSRvBzw9LRy4V51xCfHsu/Vt87rAGl0+7kkkk34PV4eW7bw78Yb4oR/P8HTdOoKaqneE0p1YW+gXNRvT+eFtTsfkpuEml5yaSPS/XNamccUkk4e0JPu4XNS7ezaclWXE4XUfERRMRHEJUQQWR8OJEJEUTGRxARG4beoMdpd/L5i1+z5L/fUl5QpVQG/Spa1CBwzIxs4lJiiIgNJzw2jPCYULXsfx4T9qtTsjjtTupLm6gtbqCmqI7anQ2UbqjwD47T8pKZfuxkZhw/eb8jhneHlBqy41TQ2pTa4EdGNPZ29SlyxUesbF9ZzPrPNqNpkvFzc8mdmQNSUryujNINFbhdKv0iLjWGzPw00n2eMpn5qSSPTkRv0OP1eunrstJS00ZNYT0715dRsqGchrJm5bfyPYRGhXDE7+eQPSmdhIw4hBB0tnQrHyBfqVq/Qa/UJJqm+ZYSj8ujZPG73YugSpayJqWrMjVfLPXelGWWzl7KC6op31xJ8boyClftpMtXFhYSEczYWSrJaPycXLKnZNDe0DlIbSOl5MuXv+G9f31KdGIUf7jlZF7/+zt0t/YQnRhFa207oL47cmfmMH5uLlEJEXS3WVSpTVE9dTsb/GSSIUBPWl4KmRPTyMxPIzErgbjUGOLSYgiNDNkjSaK1HqmihCMfH/a9MOA87O8je25CRL8zICr3+1jy0qsYA+o4/JSZtNV1UFfSSF1JI/WljbTWtPkFOjFJkYydOZpxc3NJyhl1wIKAJBp0XwfGSQjzebte8NaqWGPpRoReA+bzkF0XgNaFLuYTVc7gWo3svhaCFqELv29w21Jy6ZQbqNxaM6Tyyd5n55JJNyAEPLPlIW494T7qdjbySvkTg7yVlCrlNPBUIEKuAPM5/pID6W0B11qkc7UyGdWa+UUjYCIYF4L1kQGqEYDHL3+BJf/5jHvfqGHCzF7AAOZzIXABdJ2NiHgC6doMtlcVmRR0LLrwewYdQms/GYQRXfSb/nVSepCd54NnOyLqHURAzn6fgpROleJi/x8ETEVEPDqkX4aUHrC94bvX7GA+D2HIQVpuRkS/iwg4+BOG0v4xsucmwAOGXEUiBZ14QOK2pe0NpOVOMP9RpQfJLmXe7FqJCPsnwnzyAYtM17ouA/dOROzXg77XpLQrzxzrCyACESHXIIN+o2KYdZGKaAlarNRmngZE7FIV/d37BLi+Yhehko0IvkiZ/g51vt566P07mM5FBJ89pLfPLwEjRMowMEKkjOBQwDdvruK+PzzGJQ+dy6nXDm92dNuKIq474g5OueYELn3k/IPbwRGM4ADD2mOlprjBp0xQJpc1hXX+ARJA1KhIRapMUmUC/YO4X4tiw9LZy4q31/LVq8spWq1mpCPiwtHpddj77Nh7HXvcNzQymNjUGDLGp5I+LoX08amkj08hPi32V3N9pJTU7mxgw+cFbPiigO0rinG7PJhCgpi8cIIiVn6EWkW6NiM7z4Dgy9CF/uUA9x7aGzpY8t/lfP7iMpqrWgmNDGbhWfNYdM483E43hatLqdxWTeW2Gup27kqSMgToiUmJJjw6FL1BT0xSNAv+MJfpx032lzzZrQ5qixv8HiyNFc247G5aqlv9JA0oI9tRWfEkZaskpuwpmeTPzyMmcWBMp8vh4q5TH2L9ZwWce8fpZOSn0lzV6o+lrimq90ePm0KClDdDVjxxKTGKkNjtMdTgt7GimcJVJUqltrqEmiJlJKk36MnMTyVpdCKJmfGMykogPCaU9x//jIJl2zn81MO47vlLCQ4PpqOpi+uOuIOulm7+9tZ12Psc7FhZzPaVRf7o5f1BUHAgCelxxKXFEJ8aS1xaLPFpsZjMXcyYcS1bNvyObRumKFPj3QyNrT02lYQ2Md1vTJwxIXUAySe1LmTbkaDPRES9NiRhZ+u1c0bSxXjcXt5ueWGw10yfndKNipTatryQzUu34/V4iUuN4fBTDmPeqYeRO/PHGRRL9w5kx8lDmqVKbzPSchc4l0HABAiYAbYX/X4o0tuBbJuFCP2rigL+HtZ+som/nfRPAowGRk/P4rGVA0tGnrjiBT5+egkPf3sXEw4fS9GaEq6ecxvn330GZ912yuC+euqRvXep0gN9mppZD1w44HtPSulLF/mBuN5DGa7NSMvdKpUGI8RtRqfbRZ5fkHsVTZWt3Pt6KeNnxxIQMhXs76oyEWmDqHcQeNT3GyBCb0UEnzfoMLLv38i+J5TiSh+9a723FdnxOxBhisjQ/Thlj7R/jLT8DUSQUgEGzhl6O28Hsu9hsL9Dfzy2iC9AiJ9mslBqnWD/FOn4UJkKo1MqGdNiCFo4KPZ7uNDaFwNeRPSHIK1I6wsqEUfa/USR9JQj249HhN2JMP9h//ovHciWGWA+FV3Y7XvezlOl7i/XKhXRLiUgIOhIsD7LrvQsgzL0FREgjCqZSnYwiHH/IRgXoot6er/O5+fGCJEyDIwQKSM4FCCl5Pbf3k/Bsu08v/0RRmXGD2u/xy9/gU+eWcJjq/5O3mGjD3IvRzCCg4++bisVW6pVucCWqkGDOHOYiaxJ6aTnpZCal0z6uBTSxqUQERv2iyYQmqpa+PqN71j2+krqdjYMeC00MpiQqBDMoSYCg4zoA/QIIXDanbQ3dNLRuMunwhxqIm2cUvakj08hY0IqOVMyCYn45RtT2/vsbPmmkPWfbWbDF1v8apUgcyARcWFExEeoZWw4EXHhRMaFq7/jwgmLCSUkIpjQyGBMoSb/oFPrvh4cX/hmfH+kpHoP0DRVyvL5i8v47t11uF0exkzP4qhzj0AIQUNZE7UlDX6lVv+9/n0IIYhKjCDvsNHMP202M06YMkiN6PV6aa/vpKGsiYbyZp9ZsFo2lDf7/YsSsxPIn5enHvPziE+LxeVwcfdpD7Pu080IIcicmMaUhROYvHACo6dn0VrTTsUWRaxUbKumtaadtvqOQf0NjQrxkyo5kzOZe/IM0senDvh8Wjp7KV5Tyo5VJZRuqqCpooWWmrYBbekNOpJyRpGYnUBiZgKZE9OIS4vlkYuextpt5cGv7yRrYjqgyIiiNaU0V7WieTX10LRdz30pO1KTdDZ1UfD1dupLVfR3oMlIWHQIQq9TBImvpOrIxV3c/GQtly0aTVWxGVOoirnuf5jDzHhcHsoLqvyeNwFGA+kTUnelPk3NJH10ObreKyHwSETEvweVIHzy7Ff867LnALjxv1dw1Dk/7PXQ29XHmo82svLdtWxashW3y0NMUhRzT57J/NNmkTd7zABSRUqJvc+BtcdGX7fVTwIFmozkzRqNMciI7Hse2fcgInbVkDPwUkpwfI7svVuVDuCFkJvQhVzoN4EVkS8PGiBLKbl6zq10NXdz7B8X8p/b3+Q/pY+TlK3k/gVfb+fGRXcPmhC6Y/EDbPl6B69U/NvvszOoT84VSMs/VEmPcZZKgAkYXgLiLwHS24JsOwpwqMF8+D8Q+gRaa9s4K/3PLDzrMK6883m6LQtJmvwk0l2M7L7SF9OcAiE3guU2kD1DvjcA0l2E7PgdIuwfCPNA0ko61ypz36DjEOGP/Oj/r9JT4Sv1KYfgyxHBf0ToQobe1rUV2XsfiBB0US/+qOPuL6SnAmn/UJXlaI1+ZY8IOkl51gy7nTLovlyds+m3u9ZrHeAuAuPcXSluXReolJsByi4B+uRhlS71e9zs6f0esK2U4PxSKYb61VvRH4G7BCw3QNDvQB8PWrf6zMtulXimtavyoOESKQHT0UW/PrxtDzGMECnDwAiRMoJDBW31HVw07i/kzszmn1/+bVj/tKwWG3+acC2mkKBhJ/+MYAS/NLgcLqp21FFRUEV5QRUV22qoKawb4EsRFh1K2jifaem4FNLykn+RBEK/CqO5qpWOxi46GhVR0tHkWzZ20d3SPWD2PSTCTFxaLCERwQghsPbYaKlpG2BompidsFusr0qgMYce+Ejinwr912nzV9toqWmju62H7lYL3a09vofFr/D4PnQ6QXC4mZDIEJKyBLc/u4yqkmSWvH8qqWOTfCU2aYRFhx7wfls6eln62go+f3EZ1TvqAEUEJeYkkJQziuScUST5Hsmj1Y/1ojWlrHxnLTtW7aS1tn0A2RAWHULO1EymHT2JuLRYRbpFKsJIb1AmuOrhwWl3Yut1UFNYx7YVRexYWez3L4pLjSF/fh4T5o7FaDZSt7OBwlUlU93lCgAAIABJREFUFK0uwe3yYAjQM/aw0UxeMIHJiyaQOyMbQ4ABr9dLZ1M3LTVttNa2+x9tde00V7dSU1iPlJLErHjmLp7JnJNnkjsje5B6QkrJWw9+yMu3/Y+wmDCOPnc+Xo9GU6UigJoqWnD6jJtNoUF4XF50OsGfHjibeafO2q8ywM7mLjZ9tY1NS7ayaclWfypRxoRUxkzP5pSL1pOcuhWn+VtMYSF7VHxIKWmubvUZEysj3tKNFf7vp4DAAM6/xc2pf9pKTdVCCLmZ1LHJ6A16f9kLEqw9NtLGJXPvJ7cM+xysPVbWfrKZle+uYf3nW3A73UQlRBARH46tx0Zft4oF35NaJ9BkJH9+Hlfdt4bIWBfGxC9/8LeH1LqQlntVvK4wISL/C+6tyN57hyRhtnyzgxsW3sVVT17EYSdO46y0yzjrtlM4767fY+u1c3H+dRiMBp4peJAg8y4/h+rCOi6ZeB2Lrz6BSx8erKTYde3dYPsfsu8Jlc5iOgMRepU/neaXDOltVHHUgccpI1IMiLA7+PLNEB6+8Gme3XQB6aOu4btlv2feWapsR+v+Kzi/An2cIiwIAhwQ/gg6028GH8MfeT0OXeRTg1/vexrZ9ygi7A6E+awff06aTZW4OD5QK0SESmDSJ4I+CaFP9j9Hn4zQHfjv4H2FKl/bgHR8oOKK5eCyyoMOQx4i/MG9lllpPbeB41NE3Lrhp+xoVqTlHnC8B5jAOBFc61QbeyjdAdC0XpA/EDVt/wj67oHId9AF7rms8VDGCJEyDIwQKSM4lPDxM0t4/M/Pc92Lf+bYC44c1j79yT+nXnsilzx07kHu4QhGcGhASklHUxc1hXWqNMjnv1JTWO/3jxBCkJaXTN6s0YydNYZxs0eTPDrxF61cAaU66GrpobG8mcptNVRvr6VqRy3VO+qw9dr928UmRxOTHEWQORCHzUVrbZtfvSKEIHlMIqOnZSpyZWommRPTf9Hkyu6QUtLXbfWTKt1tFqzdVnq7rL5lH33dVvq6rRx25EZOOGsHd104jtWf7zIkjU6MJDM/jYzxqSq6OT9tjwk4+9O/upJGzKFBRCdGDfuelFKy47tivnplOVu+KaS5unVYaT67IzwmlJxpWUycP46IuDB6O/ooXlfK9hXFfjIBlPorJimKoOAgPC4PPe0WOpq6VEBJcCCTF05g5vFTmH7cZOJSYoY8VldLN6s/3MB3769jy9c78Li9RCdGMud3M5i8cAJSUyREwbLtbPhiC3MWz+D6F/88iAD1er3UlzRSvK6cnevK2LayiLriXcqt+LRYcmdmk5mfTkxSFDFJUUT7lt8vlRkKmqZRsaWajV9uZeOSLRSuKuGZZYU0Vgfyn4fmkzdrjC+BaTSJWQl7fb80TaOpssVPrpRuqmDeMd9w4vnNPHlrEl++mUjW5Axik6NZ/tZqzr79NJw2J+899ilvNT2/XySerdfOuk83s/qjDThtTqWcCTMTEhE8QEkT7Pvb0m5h45KtbP1mM499+BWfvx7Ney9MZNrRE5l27GSmLBy/x1hpresqcH4BCBVzK50qXvd71+XGo+6mprCOVyufxBhk5KZj7qGxrIn/lv+bx//8Ap89v5RHV97DuNmDlSQP/vFJvnnjO/5T+vhey/ek1q3IFNsbIMw+/5SzfrJY5IMBaf8Q2XMDIvoDEMHKv8O9mZ1bs3jo6jhe2HQk9N7H47efxTXPqZhZreMsQCKiXlFx1b2PgewBTIjo/xtyIK5Z7gL7e77B90CFm5SaSvFxrkZEv3lAvEqklKqkxF2kkmN2f/D9clYDHDAnoAMBCeggcA4EHrPXBBspnWC5GwLGD4oUH3J7TwVYn1bePwET1UqtB2l9ErQ+ROi1YD5/SKNXKTVk2zwwTkUX8a99Oyspka2zAU35txjGo4t5b5/aGNSmtwHZdqRSigWf/6Pa+rkwQqQMAyNEyggOJWiaxvUL7qRqWy0vFj1KVMLwYhwfv/wFPn76S+799BZmHDf5IPdyBCM4dNFPsFTvqKNkfTmFa0ooXlPqJ1fCokMZe1iOf2A0enrWjzJrbqpsYdnrK1n57lpSchO59JHzB/lP/FSQUqrI4e21vkcNFVtrqC9ppP//eURsGPHpsQSaA3HaXbTWtPmNQIUQJI8eRfaUDOVLMyWT7MnphEX9/LOCBxNSOpHtxwOBWL3n0lrb4VdVtNa2097Q6Ve36HQ6RmXGkTHBZ1qanTC0UkGYIWDiAN+BgwG71cGWr3ew5ZsdOKxOPC4PLocbl8OFw+rAYXVi6/V5e3TbsFnsgxsREBkXTtq4FFLHJhGVEIlOJ+ho7KKtvoO2unba6joGkCwAQif8JE5STgJzfjeTmSdMIW/W6CETcmp3NvDRU1+w/rPNNFe18f3fmLNOmsYtb1xNkHl4n8eyzZXcuOhupJTkzR4zyGOpH6aQIEWsJEYSnRRFXEoMk44cz4R5Y/dIitkt9QTaFlCw7ljefTaeojWlfoVJRGwYebPHkDdrDDlTM4mIDSMsOoSw6FCMQXseuGteN/bGiwkyrObzd05h6Vs6iteW+RVGQcGBOKxOph6Vz3EXLWLM9KyfxPNIlXCcy8a1l/LZq14Klm3HZrGj0+vInZnDmGlZKv0oP5W0vGQCTYFIVwGy8/dgnKMGxcY56KJeHtBu8boyrpp1Cxc/cA6nXa98V5a+toL7z32Cix88h+dueJXTrjuRix8cegKotbaN80dfxYI/HM71L/15eOfiKVflPq6VKiJZn6E+i8K029KkvGr6/+YnVvIaxgzLwFXruRUcX/oIDj1SepHWF/B0PYLDbiIkKo2e1lquO2UeLxWrgbPWOhcCD0cX/g/ApwDxVkLXpYABEf0WQh834DjS+R2y64+IiKcQQYMj0KXWhWxfDEKHiH4fofvhJK/9hZRSDeK99T5ipRGpdR+UY/0oeOtVZHPABET4oz9YEipt7ynD3GHGKkvpUYRG4Hx0EQ/uWu/tQFpu8/kUzUBE3I/QJw3c170N2XGqUq7sVkI0XGg9t4L9U4h4AKFPRgTk7XMbg9rsfQwROA9hnPKj2/o5MEKkDAMjRMoIDjXUlzZy8cTrOew3U7j97euHtY/L4eLKWbfQ0dDJMwUPEpN0cH+8j2AEvyRomkbdzgaK1pRStLqEorWl1Ppmsw0BevJmj2HKonymHpVPztTMvSZnWTp6Wf7Wapa+vtJvEps3azTlBVUEBAZwyUPncuwfFxwyyhd7n52KrTWUbaqkbHMlZZsqqS2u98v9w2NCSclNIjI+AqfdRfWO2gED0oT0WLKnZDJmWhYT5uUxelrmAVFlHEqQjq+R3Zezy2TvAEGfAcapiIBpYJwK+tSf9b7o67ZS64ucLt1UQcmGChrLh0gBEhAZH0HWpHTyDx9LZn4aSb5So/b6TpVM9F0xBUu3D0jgApWkM35uLkecMQdDgIHtK4rZtqKIhjLlSWIKCSL3sBwi4yKwdKhyrIDAAIrXlhGTFMXZfzuVYy44clhxxZXbarh+wZ2YQ008svwuwmLC6GjsVN5BDWrZ3tBJR1PXgHVejxdTSBBTFk1gxvFTmXHcpAH/N6XjS2T3lYiotxHGif70saLVJRSuKaFwVQmN5YNTYZTfSiih0SGERYUQGh1KeHQo8elxJI8eRXJOBMnxN6PTKrEbXuC05EeYdeJ0ph83mdKN5Xz58je4nR4/yRQeE8ro6dmMmZbFmOnZjJmRTWTcgR3Iar2PqrjbuA0IXQget4fitSriveDr7VRtq8VhU7G+Op0gaXQiWROT+ct9b2C15aMLu5jIUanoDMkD2v3bb/9J4aoSXq9+ym9AbLc6OH3Un0BKYlNieHrT/QSaAgf1qR/PXPsf3n/8M57b9jBpeSnDPifpXI60vqJ8HaQdNJsyYZV2fraIYj/0vjjgK35QMaO1HaMipSOf9a+r2l7DP8+8nAfetxIa2kBV2QT+fKSej3pfxRjoRbZOQoT8BRFy2YC2pLsI2fkH0Gf4TI93KY2kdCPb5kPARHSRQ5uCStdWtb8IhoBcMOQgDDngewjd0D42v1ZIx5fInlsBLyLsrkEGzf3QOs4ArRsR8/mwv/e17hvAuRwRt3qA4kVKCfb3VCwxIEL/BqbF/na13sfA+gwibg1CN7xJ2IHntATZfQUi8lVE4Mx93v/XiBEiZRgYIVJGcCjif/94n5dufYM73r2euYuH94VWV9LAn6fdxOhpWTyw9PZhxSiPYAT/v8LS2Uvx2jK2fVvIpqXbqNhSDShj10kLxjNl0USmHpXvN3522p2s/WQzy15fwfrPCvB6vKSPS2Hh2fNYcOYc4lJjqS9r4tGLn2Hb8iImLRjPtc9dOmzj6J8aDpuTyq3VlG5SpQcbv9xCV0sPeoOeCfPGMunI8cSlRtPZ1EN5QSVlm6v8A+FAk5G82WP8RqW5M3N+Ff5M0tvqS8nYO/p6rBSvUdG+O74rprNZzZzGp8cyYc5Y8uePInt8N4GGHeDa5JPXA7oYFQNqnAoBk1UiwgGDDoRBLTGA8C0HrB/a58Nld1JX2sTWbwspWLqN0k2V9LT3DtrOHGYic0IqGRPSmHLURKYsmoSl3cLW5UVs/mobm5Zuo6t54CxyUHAgE+blMXnBBPLnjSV7csaQ8d1blxfy0i1vULSmlKScUZx31++Zf/qsvabRlG6q4MZFdxMeE8rDy+/eqyKsX8Wz/rPNrPtsM211HQBkTUpnxnGTmXnCVHLHvYVwvIPNuJzaklbqdjZQt7OBWt+ysaLFryRJyIxj4vxxJGTEYe22YenspbezD0tHL5aOPnraLFg6dl3LqDgPT3xegSFAcsWxmcw/8xQmHTmenCkZfPLMV7x699v8/dO/0lrdRsmGCko2llNbpIhPnU4w7/TZnHnzYjLz037wPIcLreN0QKCL/r8hX/d6vTRVtlK1rYaKrdVUba+lclsNZ16xibnHd3P6hPEkZiVx8jW/YdE58wgyB1K5rYZLJl3PuXeezjm3nzagvfPHXEVDWRMPfn0nk44Y94N962m3cG7WFUxeOJ4737vxgJyvlF5FqPQ/fspkH+lF2l5WqTSGHET4P4csl5HeVmTbXEToTYjgC/3r33nkY569/hVer/kXsVHL2PhNELec9BZPbbyf7AkuZMdJiPDHEKbjB7fp/BbZdSkEzlPqk90G6Vrvg2B9yRe9O3QZlXSuRDo+A08ZeCoGeoXo4sAwGgzZCEMa8Av9/SlCwDgdod/7/23pbUR2XwfuTRD0O0TY7QPMc6W7DNlxwqD3cK/t+knc1xDGGYNf99Qhe24G9wYIPAoRfg9CF4XWfhKI0P02dpVaH7J1JgSfjy70hv1q49eGESJlGBghUkZwKMLj9nDFzL/S1dLDi4WPDtsw86tXlvPA+f/mnNtP49w7Tz/IvRzBCH496GrtoWDZdjZ/tY3NS7fRVq8GV6My48nMT6Xg6x3YLHaiEyNZcOZcFp49j8z8tEGzTJqm8dnzy3j+xlfxerxc8Pcz+d1Vxx3yxKamaexcX86ajzay5qMN/njajAmpzDpxGrNOmkZ8eiw7vith2/JCtq0oompbLVJKjEEBjD1sNPnz8ph4xDjGzRkzLDXBrwX9xreblmxl45KtbPu20G+Mmj4uhXFzxzDj6HDypvUSFloC7s1KHv4rgdcrEOgRej1CGNA0gdcjcTm8uJ1ev/IpINCAMTCAgKCAHyRHXE439l4HXo8XvUGPOTSIgL0QdR63h95OK0KAMciI0WTEEDD4M6d5NVwON0aTEZ1OfXa9Hi8unyGvxxcdHRrhZWdBONcv3kVWGAL0JI9OJCU3kZQxSaSOTcZmsfH+E59Tt7OB6MRIfnv5cZxwyaJB5XBWi42GsibqS5toKGvCYdnOGZe8TWt9ANf+Nhtbn0riypqUTnlBFWfdegrn33OGf397n53ygmrWfryRT579CluvncNOnMqZfz35RyX2Sa0X2Todgi9FF3rNPu1r7/yUQNdfWL38ct54qJGyTZWERYfym0uOorqwji1f7+C16qcIjdw1uOz3dAO46ZUrWXT2vL0e57V73uG/d/wf/1r1d/Jm/TpSeaRzObLnNpWAMoQ6Rdo/Rfb8BRH9DiJgl1HnLSfcR3Nli7+Up6a4novG/YUbXr6co37vVAPw6PcRAUMTVNL2P6TlDjD9QRnI+v5/SU8lsv1YRMj1iJCL995/qYG30UeqlKtkmn6CZZDPyS8QhmyVlGScDcYZe4x/ltKD7HsKrE8ptWHEI4iA8QBolvvA9joibuU+mR/7CQ3z2ejC/rqH43rB9h9k7yOgC0OEXIm03LnPpM33oXWeC1onuphP9ruNXxNGiJRhYIRIGcGhirLNlVwx868cfd4RXPfCZXvfwYcHzv83y15bwQNL72DiXmZ7RjCCEQxGvxGommHfSuXWGiYtGM/Cs+Yx8Yi8YZEibfUdPP7n51n7ySZyZ2Rz7QuXkTH+4MTrHgw0lDex9uNNrP5oAztWFqNpkpikKBadPY+jzjuC1NwkLJ297Fi500+sVGypRtMkYdGhzF08g/m/nzPs6/VrgsvhonhdGTu+20nhqp0Uri7xe5PEJEUxfm4uUxclkD/bQ0LagYrtloDXl6LgQZkG+pZ4QXrVcriRld9vXUq6WrppLG+hoaKJ1po2NM2LXg86nUSnl+j0EGQ2EB4TTGxyJFGjwomMD8NmsdNU1UpzVQu2HruvbCichIx4EtLjMIcNNjiWUtJY3kzpxgpsFjtRoyLImpRBbEr0Hq9XT7uF8oIq1TevJCTSTFJOIkk5CQidjvLNldQWNyA1iSk0iKlHTxwUret2ummv76C1roOiglwM5hmk5CaSOjaZURlxQyppNE1jwxdbeO+xT9i8dDuBJiNHn3cEi68+npQxSYO2B6W+eeOO67j3jWo03QxKK25k67clfPfeOsoLqgDInJjG3MUzmXvyTNLHpfjPu7erj4+e/JL3/vUplo5eJh05jjP/ejKTF07Y53tJOpYhuy/bLzm/1Gy+Ad8ZiNBb2PHdTt599GNWfbABgPTxKdz86lX+iOq+bit/mnAt5jATTpuLpNGjuP/Lv+31OPY+O+dmX0lKbiIPf3PXIVMy+WMhNQuy959DqlM0y51g/1CVW/mUI26Xm5OjLuDo84/gyn9fBCgS8MTQc/jt5cdy8Z1OFWEdt3mPscLQrz55HhF6IyL4ol3rO84ErRMR88V+X2MpvaB1sL/fMz87tHZwrUE6V4FrI6oMzAABk1ScsHGOMo79nsmsdG1Q6hStAxF6HZjPQrYeDoGz9tn4FUDrvBC8NYiYr344Rctdguy5ATw7ARAxXyIMGft8PH971heRvfcjYr9F6BP3u51fC0aIlGFghEgZwaGM5296jbce/JD7Pr+V6cdMGtY+9j47l0+/GavFzrNbHiQi9uAYg41gBCP4YUgp+fb/VvPkVS9i7bFx5l9P5sxbFv/i/EUsHb2s+2wzy99azYYvtqB5NXJnZHPUuUdwxBmz/bPvfd1WtnyzgxXvrGHNRxtxWJ1ExIVz+CmHMevEqXg8Gtu+LWTr8kLiUmO46J9nk5wz6mc+u4MPr9dL9Y46dny3kx2rdrJjZbHfVyRlTCInXHwUR503/xdl6uv1emmv76SxopnG8mYKV5dSsrGM5qo2XD41zv9j76zDqkjbOHzPoUvEwkYxsLEV7O7u7lq71nbVtVZdc1071u7GxgLFLhTFIETp7pPv98dxcf1EPSoq6Lmvi+schndmnpkTzPze5/k9oPVL6T+/O62HNwG0bW0vH7yO+8FrKeV0diXyUrCMHfmLabM88hfLTZ6iuTE2MUKpUHJywzm2zd5PZFAU2fNlpUnfejTqW+edTkHeN56hlCuxK5mPS3s9OLvtEg/cX99gSBJI0KBnLaq1rsxfwzYQHRbL8L/60aRfvTQ7L76e/hxY6oLrdjeUChVVmpWn7ajmlKtb6q0bojldl3Lz5F12+zTCMPk3MOuElGkWkiSxfuJ2di84RNGKhXh6ywchBHmK5KJa68pUa1MZh4qFMDA0ICk+iePrXNn75xEiAqNwqFSILpPa4tSy4kfLof5FEzsbEvcg2d78rA43mqhBoHqKlM015fhmdfyTywevY2RsiDxJQbl6pWk3ujkX917BdZsby6/M4eqxW2yfvZ/t/qvInvfjnm6H/jrByhEbdTbUVylVvHoaRL5ieXQ+F9+Lt7NT+muzCyLagCwnsiwbUsbdv+TF2Nq/MePAeKq1flPyMbj8eGxsrZmzKwnk55Dl8Pjw/oQGETMGko+/VQb0qcaoPzpCyEFxC6G4DPIroPICBEhWYFxRe46MKoFRCSTJSNs5KmbK6/bTBUHti2SzSSvAfOq+X2cOSdmOIxkW/kicCm1WjCYUmfXczzza19tSPUOEN9V+F5l3/vgKPzh6IUUH9EKKnvSMIlnBLxUnEB+dwDrPxW+lyH6I5/f8GF51MmXrlmL20Ynp/kJCj54fmZjwWFaN3ozrdjfyFctD92ntqdXRKUNmakQGR+G63Z0zWy7g6/kCI2NDqraoQIOetanUuGxKSU9MRCyHVpzg4h4PXj4JTOnuIjOQUbB0fgKfBaOUK2k7shldp7bTqUXtj4IQgtAX4dw+e5+TG8/h5fEEIxMjandyptnABpRwKpqhZ91DXoRxYddlLu714OktH0DbSnrMusFUbvKme0OQbwiXD17ntqsnAY9eEuIfnmKyKpNJ5LS3JX/xPOR3yEPuIrmIi4jjtqsnd889QJKgYuOyNBvQgNyFbNn8224uH7yOsakRmx4vw8zKjH1/HmXfkmMokxWYWZmRGJuEsakRVZpXoHiVIrjtv8qjq09p3Lcuw//q98GOO59KVEg0R1ed5uiqU0SHxZItTxacW1WiWpsq5CuWm572Q2kxpBG/LO2DJu5PSFgDJg1AlpWk+CTObXfHoXJh8hXLTYhvGEF+oUS8ikRoBIbGBtjkzEzWXDZkyW2DlY0lgc+CeX7Xj8TYJCxsLMiUsyWl6g3C1Pz9Rq4AmvCmr2/YN77zN+8bz7h56h51ulQjd6Gcqa4vEncjYqchZT2GZFSU0Bdh9Cw8nOaDGtBrVieOr3Pl0IrjKcJh18lt6TO7C6+eBdG76Aj6ze1K54ltPno+lQolfYuPwjyTGatuLXjvNU10WAwua89ydNUpIgKjqNy0HOM3DU33E0pvZacYFAL1cyTLMUiWg1PGbJ6+i51zD7A/fNNb5d5/9FrBHVdPdtxPAqFElnXXx/cn5IjI3qD0RMryD5JxBW2GUVg1MGmILPMfX+MwMzRCEwnyqwjFFVDcALU2cwzJDIzKIRlXQhhV0maHxC0EgxyvM0o+/fpbqIMRYTWRLMciWQ5K4yP5wH6FQITXA00CmHdBMu+MZJD6Z/9nQC+k6IBeSNGT3nly6zkjnKZQu5MzE7eO0Hm9I3+fYsWw9W+1HtSjR8/345rLLdb+upUXj16Rp0guOk9sQ/3uNTKkn4gQgud3/Tj9zwXO73QnOiyWzDmscWpRkSAfbYaCUq5EZiCjaAV7suSyISYsFu+bz1EpVOTInw2rLJY8v+uHja01fed2o2GvWj+l6Pv8nh8ua87gut2NxLgkCpbOT/NBDanXrToW1rr5Y6VXArxfsWTQGjwvPQIgT5Fc9P+jG04tKr4jJCYnynn5JJAXj17x4tFLArwDefHoJa+eBKF87V0iSRLZ82fF2NSY8ICIlG4yhsaGNOpThzP/XCBv0dyE+IeREJNI7U7O9PitI/kccuN94xlnt17Cbf/VFHNgYzNjFEkKsuXJwtDlfanavEKafh4VyQou7buK+4Gr3Dx1D3mSImWfQ5f3pXHfupiYGSHiZkHy6ZT1YiPiEUJgne1NlpJGI1AplCgVWi8XtUqTck4MjQ3exC2SMbNQ4e6SDR/fbtTv2Ya8Rd9N039jaPqmxCM5Uc75ne4cXX06RQSzsDbn183DcG71bpZCyjZed4pZOWIjR1efZsuzFeTIrzUtVSlVXNrrwdPbvvSZ0yXFmHpUjanERsSz4eESnYRD1+1uzO+xnEnbtC2R/8uzu74cWn6CczvdUcqVVGjoSLHKhdmz8AhWWSyZtG0EZeuU+ug+vjdvslNCkLLsRjJ+k30zstoUNBrBCo+3sw72LDzMugnbOBEYjMzUCVnmBbrtSxOFiOik7SqTdQ+SYQE0MdMg+QhS9ssfLA/SA0IdDsqbCMV1rbCieoK2pMkIDIuBYQGtCW9Ku+1/W3D/97kp7zMAF9FjQTJAstbt9UwrhOo5JB3WthBHBib1kcy7a71iPrV0UHHndcbOhwXd9IpeSNEBvZCiJyOwdeZetszcw/S9Y6nRrqpO6wgh+L3jn1w5fJMlbr9TvEqRrxylHj16PoZGo+HywevsmHuAZ3d8sbXLTqdfW9GoT500nRH/FJQKJYZGhp+dBaFSqrh+4g5nt17k+vE75HXITdk6pShXrzSlaxTH3OqNB0ZCTAJXDt/k7LaL3HF9gBACcyszEuOSKFy+IMP/6v9F5pkZmaT4JM7vvMyxNad5etsXU3MT6nSpTsNetShetWiq/hwZhef3/Pi94+KUzk858mej/ZgWNOpT5633R2qoVWqCfEPxe/ACX88XPL31nAfuj4mLSnhnrCSTEBpB6ZrFGba8X6qdbYQQvHoWzAO3Rzxwf8yNU3eIDNIKK0YmhpR0dqBU9eLUbF+VgqXTpjMOaEWKGyfvsKD3SpTJCtQqDSZmxlRsXJZqrSrj1LJiSqbBoRUnWDlyI+sfLH5v29+okGjuX3qk9Si66IXfwwAAzCwN6D89kcadvEmMl7Hmt9xExtSi5ZDGVG1eIeV9JJIOI2LGI2U9yEufzBxddZozWy4SH51AgZL5aDGkEaVrFGNh3795esuHjuNb0XdOl3feh5qIrqDyIkHMo7P9Vup2qc7YDb989HwcX3eWJYPWsOLqXIpV/vgVYE7mAAAgAElEQVT1iUajYUiFX0mKS2aD1xJkMhmXD13n0IoTeLo9wtTchAY9a9FqWOOUc/b8nh9zOi/h5ZMguk1tR/dp7dP950ho4kB5F4yrp3wnJ8Qk0DZbXzpPaE2f2V3eGn/j5B1mtJ3NUR9PJMuRSJZDdd+X6gUiogPILMG0CahDIfkQGNcAo+Jpelyfg2RUGsm00fcOQyeEJhoUtxGKG6C8DqqXr7tCZUDzXYO8YPU7KC9D4j5tG3HDIkjm3cC0pU4im0g6qC11suiTYbsA6YUUHdALKXoyAiqlihHOUwjxC2P9g8XY2GbWab346AQGlxuPJMGq2wt17v6jR4+er4sQgusn7rBjzn68PJ6QJZcNHca2oNmgBphZmH6zOK4cucHC3iup1dGZUas/3q0hLQkNCMd1mxunt1zgpXcgSICAcvVKMW7j0Hc8MH4mvG8+59jq01zYdZnkRDnmmcwoV680FRo4UrGhY7ptq/0hhBCc3HiOv0duQp6k0Ipomcyo17UGdiXzkbNAdmwL5MDWLhtmlu+KK4pkBYf/OsnOeQeIj06kVkcn6nSpTlxkPA+veHPnnGeK0Wy2vFnY8HAJ5la6lYx5eXgzp+tSQv3DscmZmZjQGDQagXOrSnSb2o6iFQqlyTm4ceouk5vMYcKW4WTJmRn3g9e5cvg6EYFRmFuZ0Xp4E9qNbo5KqaJL3kF0mdyW3rN08yqIDoth9x+H2bf4KEYmhuTKH8+oRQGUrJTIHbdMLBmXG5U6Jy0GN6JJ/7pYm8xDFX+GaX1bccf1IYZGBlRvV5WWQxpRqnqxlJt4RbKCv0dtxmXtGRxrl2TyjpFkyWmTsl+hDkVEDUAj92bJ2Lx0mbUl1QyY/ychJoGOuQbQqE9dRqzs/9HxANdP3GFKs7lUb1sF7xvPCAuIIGeB7LQa1oRGfeqkWv6clJDMX8M3cHrzBUrXKM7EbSMy3HfLlSM3+K31Ahadm/FOE4HwVxFMrNebtRe8kawXI5k1/6RtC8VdRPQw0ES9XvJvO+jvnSkpABVSpvlI5m2/cyyfjxCa1622E1N5TOZ9xrxC/RLi5oJZt8/yWfn8gBO0ZWZCjWSzGoxKQJILInEbqB6CZAFmbZHMWmnbRf//6kJA0m5I3AxGZcH6T2SGqYvB6R29kKIDeiFFT0bB3yuAIRUmULGRIzMP/qrz7LHX1SeMqTkd59aVmLZ7TIauvdej50dDCMG9Cw/ZPmc/d889wDqbFW1GNqPF4IZkyvr1zEfVKjWbpu5k94LDWNlYEBeVwOxjk6jStPzHV05jhBA8vv6ME+vP4rrdDUWyEiQoXb04gxb1xKHSh832fmQSYhK4deZ+Smvl0BfhAOQuZEuFhmWp2NARxzolM5THTGRwFCuGbcD9wDUsbSyQJ8pRylVvjcmU1Qpbu2xaYSV/NixtLDm+/ixhARFUalyWvnO7UristjtFXFQ8Dy974+n2CKVcyYPLj3l6ywdLGwuGr+hHnS7Vdfq/l5woZ/nQdZz55yKOdUpSpLw9JzecIz46gUpNytFtSjtKOn9Z+90ZbRfw8LI321+sTilx+bf1+P4lx3DbdxVTCxNaDWvCw8uPiQiKYrP3cp3iv3XmHlObzyOvQ25eeL2kYuNyOLUojyTfRe1mHkgSbP4jJ4c3ZEMIia03H/Hophnr5lSk+aCGNO5b54OTNGe2XGTZkLVYZLZg6q7RlK7xJmMhLjKYp+dbULZaDJLlaLAYrFPMc7ou5dbpe+x6tTblfHwIIQTj6s7g/kUvytYtRZvhTanSvLxOflNnt11i+S/rMDQ2ZNzGX3BumXEMVVeO2MjJjefYH7HpnfMkhGB+x5ZMWOGNlHV/Suefz0UkbEbEzUXKehTJ6Pu1mxZCgYgaCIprSDarkUxqfbdYvgdCCERYXTByQGaz+tvuW/UCEdUf1EHals6mDbQCifKeVlBJPgEoddrWv2V/GRG9kKIDeiFFT0Zi3+KjrBm3hfGbhtKwV22d19u94DDrJ26j54yOdBzfEhOzjFmvqEfPj8zDK97smLuf68fvYGRsSLW2VWjavx6OtUumqXdIZHAUc7os5f5FL5oNqM+ABd0ZVX0acVHxn2Rq/TVQyJWcWHeW7XP2ExUSA2hb5TbpV4+uU9th8p3Kn9IDQghePgnk1un73Dx9l3vnH5KcKMfA0IASTkWp3rYKNdtXJVuej3dBSQ+47b/KimHriQqJwSKzObkK2mJja43p64ysxLgkwl9GEOIXRnKiHIdKhbSdnormwtPtMZ5uj3jg/gi/BwEIITA0MkCj1mBgZICRiRGKZCUqhYrSNYozdHnflDa8H0IIwfF1Z1k5YiMajaBsnZJY2lhyx9VT22q4bim6TWmHY+2SnzwpEfYygu4Ff6HD2Bb0n9891TF+DwPYPnsfF/d4YGhsgFKuYv7pqVSo7/jBbT++/pTx9WaSu1BO/rwwkxPrXVn761b6zO5C18ltUctfEv/yV6wsbuLnnZmti6yZts6f/RsqUaP7EnLa5dDpGHw9/ZnZ/k+CfELoP7877cc0R5Iktv2+j+2zd7LbOweWpq5g3hXJahqS9GGB48bJO0xuOpfp+8ZRo61u7ZfjoxOICY8lT+FP7/j18mkQc7ss4eltX1oPb8KABT10EnC+N/1KjsLWLjtzj09J9e+HF3WkRfe72nbJsi8z1hWaSG3rXvOuyDKlvr9vhdDEIyJ7gNoHyWYLkvGHPwc/GprY31931bqOJH24BDKtEZpIRNQgrSFxpmnasp5//6aOAMU1QPNmmVBA4lZt1opJXTBpqjXaNXRAMsqY1gJ6IUUH9EKKnoyERqNhXN0ZPL/rx7r7f6aYuemy3oy2C/E4chMLa3PqdatB0wH1dbqw1KNHz7fF19Of4+tcObvtEvHRCeQuZEuTfvVo2Lv2Wyn1n4On2yNmd1pMQkwiI1cNpEFP7Syf983njHCaTL1uNfh187C0OIwv5rarJ/9M38Wja08RGoEkkyhRtSi9f++cIYwjvzYKuZJHHk+4efoe11xu4ev5AoBS1YtRq4Mz1dtVIVvuLN85yg8TGxnHhV1XeH7XFx/PF/h5vkgxkJXJJPI65KZg6fzkKmhLeFAkD9weE+wbCoCphQklnB0oXb04pWsUx6FyYSICI9kx9wBntlxEaAR5iuQkNjyOhJhEmg9uSK9ZnXRqMx3g/YpTm85zbqc7YQERmJgZk7dYbkL8woiPSqBkNQe6TW1PxYaOKYKKSqkiISaR+OiE14+JJEQnkJwgp3jVIpzfeZktM/ew5dlfHy3N8vcKYPP03bgfuIaBoQHtRjWj/biW2OR49ybZ/9FLRteYhmVmC5a6/06WnDYIIfij5wrO7XDn9yMTqNKsgnZGOdkFETcbNNouOgNqlyIkwIxOv7amw/iWH+3yA9osqUX9VuF+4BrV21Zh6PK+DCwzlpLVHJh16FdE/J+QsE5rUpl5MZL0/lJFtUpNV7shOFQqxKxDEz66b11JTpTjsuYMzQc3eGfiSCFXsmHidg4sc6FwuYKM+HsAxSoXTrfZuuGvIuiSbzADF/akw9gWqY6579KB/PYPsS72ME2OQxM9EuQeSDncP6stdloi1OGIyE6giUfKugvJsOB3jedbIuSXEVF9wGLot80OMiqNZJAHIZIQ0WNA7goWA7RdhFLpQqQVXQaD8h6S1VQkix7fLtaviF5I0QG9kKInoxHkG8Igx3EUq1KE+aem6jxTrdFouH/RixMbXHHbfw2lXEnRioVo2r8edbpU/6jhnx49er4t8iQ5bvuvcXz9WTwvPUJmIMOpRQWa9K9PxUaOn9Q+WQjBvj+Psn7SdnLZ2/LbvrHvGGlunraL7XP2M/PQr+kq7V2eJGfb7/s4seEcMWGxAFhmtqB+j5p0m9ou3bc2/Va8ePyKS3s9uLj3Cn4PApAkiVI1tKJKjXZVvliE+xao1WqCfELxueeHz31/fO7743vfn2C/MKyzWVGqRnFKVy9OqRrFKVy2wHuNQ189C2Js7d+ICIzC0NiA/MXy4vvgBVY2lvSd04VGfero1J1Ho9Hw8LI3rtvduLTPg7jIeEwtTECSSI5PJkuuzIBEYkxiigD0PgyMDLC1y86cY5N08hABGFd3Bo+vP0WZrMTIxIj63WtiamFCYlwySfFJRIfF8tD9MRqN1hdGmawkOUGOvaMdtTs6c3yDK8G+oay4Oo/8xfIAr7u1xC0ETRShMTNYN2E7l/Z6kD1vVvrP76ZTKZQQgn2Lj7F+4jaMTY1ITpCz7MqcFKNokbAFETdH2xbWZjWS7P0lQ2vHb+HAsuPserUmzT7L/5r1jl47mKb966U6xuPoTRb2WUlcZDy57G2p1dGZ2p2csS9jl65ElTNbLrKg91+svrPwvZNfoZ4tCHsRQNaSp8lZQLfsog8h5O6IqL5I1kuRzJp+8fa+OB6VHyKyM0jm2m5GBrpNImZ0hFAgwmqmCJ/fDMkSKfMSJJNaCKFCxM6CpF1ao1nruW+Ja2+XAS3KMObAuqAXUnRAL6ToyYj863Y/dHlfWg9r8snrx0bEcXbbJU6sd8XvYQCmFibU7uhMkwH1KV6lSLq6iNCjRw+8fBLIifWunP7nAtFhsWTPl5UabatSuFxB7B3tyF88D0bGqaeoJ8QksLDPSi4fukH1tlUYt/GXVD01lAolwypPIjo0hnWei7+qR8vn4nX1CRsmbeeB+2M0am1acaGyBeg5o2O6En++N/5eAVzae5VL+zzwe6gVVUrXLE6ugraoVNrWuWqlCpVSjVqlRqVUo3n9aJ09Ew171qZKs/LppsNJUkIypuYmn/S/yffBCwaVHUc+hzy8fBKIzECGdTYrIgKjyJ43K62HN6HpgPo6m7ArFUpunb7PsbVnuHH8NhqN9ho5UzYrqrWqhK1dDiyszbHIbK59tDbHMrMFhkYG7Ft8jJMbz6Vsy97RjlodnKnZwYm8Rd5fonJuhxvzui9n4rYR3Dx1l4u7r2BobIiZlRkmZkaEv4pCrVJTspoDWXNnwdzSFCMTI+6c8+TFo1cYGhkgySQyZbXi71sLyPIeD5T7l7xYNXozz+74UsKpKL8s7aOTN5Gn2yNmd15C4XIFmHNs8lt/E8knENHjwCAfUpYNSAZ5Ut2G74MXDCwzliFLetN2ZLOP7vNjCCEYXH48Pvf8KV+/NH+cnv7esfHRCbgfuMaFPVe44+qJRq0hn0PuFFHlfR2TviXzey7n1ql77A5a996Js+SA6lw6rMTKbiVOLT77vi8FITRafw7DgsiybPri7aUFQnkfEdkTDOyQsmz/adozC00kqMO/4Q6TELHTQPUEyWoimPfSLk9YjYhfAsbOSJn/QpJZIpSeWh8boUayWYVkXOHbxfkN0AspOqAXUvRkRIQQTGk+j/sXHrL6zkKdZ7dS286ja085sd6VC7svk5wgJ2/RXOQsmAPrbJnIlNXq9aMlmbJlwjqbFdbZrLDKaoXZ6ws2I+PPb5uqR4+eT0OpUOJx5CYnNrhy/6KX1pgVMDQyIH+JvBRyLEAhxwLYO9pRyLEAYS8jmNXhT4J9QxnwR3fajW7+wc/rs7u+DKs8iVodnZi0beS3OqxPJikhmX2LjnB09ekULxUzK1NqtXei9+zOZM2VvktaviV+DwO4tNcD94PXiI9KwMDIAEMjAwwMDV4/N8TAUKZ9NDLgxaNXRAZFkTW3DY371qVp/3o6l5GmN5YOXsvJjeeYe3wy53a4c3rLBWQyraASGRyNqYUJjfvWpe3IZh8tt/Hy8Gb/Uhfc918FScKhUmHCAsIJfxUJElRsVJbRawal2hFmctM5+Nz3Z6nb71w5fJOLe6/g5fEE0AqBNds7pSqqJMUn0cG2Pw1713mrs01iXBLj6s7A/2EAf5yeRqnqb7eqFULw9LaPtivWPxeIj07AwNCAxn3q0KBXbUo4FX3ne0CtVnPmn4tsnLKDqJAYGvSsRd85XT7oufPg8mP++W0XNraZGb128Dsdx4TiOiJqCEhmSDZrwbBYqtsZVnkCQsDKG3+8d1+68vT2c4ZVnkTOAtkJfRHOzoA1ZP6Aie6/pQrRYTG4H7jOhd2XuX/RCyEEBUrlo1YHZ+p0qfZZnixfihCCznkGUqZ2SabsGPWeMXI0IWXYuigHxllG03Vy2nS40cQth4SVSNnPvVcE+9YI+SVtCYlxJSSbdd+97OhHRWgSEDHjQX4WzDoiZZqOJBkjkg4gYqaCYSEkiz7aTBXJBinLeiTDtOlslp7QCyk6oBdS9GRUwgMjGVh6DHkdcrPk0u9fPHOYEJvIhV2XuXrsFtGhMcSExxETHktibNJH1zUyNtSKKib/PmqfGxobIpPJkCSQZDJkMgkkCZlMQpJJ2tkVCWQyGTID2etlUsrYf8dIMgkjY0OMzYwxMTXG2MwYY1MjTMxMtMvMtMvMLEwwtzbHysYCy8wWWGS2wDKz+Xtn6vXoycioVWpePg3C556/1mPivj/P7/kTGRSVMkYmk7DJmZmpu0a/c7P1PrbO2suWGXs+yQDye/Lsjg+bpu3m9tl7qBRqAPIWyUXrkU1p0KOWvmzxE1Gr1Fxzuc2xtWe4efIuAJWalKXZwAZUaZp+slR0ISokml5FhlOuXmlmHvyVwOfB7F10hLNbL5GcKMc6mxVxUQkgBM6tK9NudHNKOjukiAxqlRr3g9fZv+Qoj64+xTKzBU0H1KfVsMYpgsn5Xe78NWIjseFxAFRtUYFeMzuldBUK8gmhV5HhdJ/Wnp4zOqbEFhoQjts+bdbQv6KKvaMdNds5UaN91ZRSnNmdF3Pv/EN2vVqLgaEBimSFdiLlohezDv1KlWYfngVWq9T8PWoTR/4+hYGhDLVKQy57W+p1q0HD3rXJVfBtASkxLomdcw+wf8kxZAYyilSwx654XvIXz0u+4nmwK5GX2Ig4Nk/bxTWX29pzGBlPgVL5mXno13dKS4TyiTb1XxP8uS/j18W0JZL1fCTpTalXRFAUbvuucmHPZR5e9gagWutKdPy1dUr50rfA72EAA0qPYcy6wTTpl3qJklA9Q4Q3ZdVvJYmOq/VeweVTEepX2qwUi6HIrEakyTbTApF0CBHzK5g2Q7L+M1XPDj1fjhAaRPxSSFgNRpWRbFYgyWy0ZV/Rw0EkgGEJJJu1SAZfXk6WHtELKTqgF1L0ZGTO7XRnXrdl9J3TlS6T2nyVfSgVSuIi44kJjyP2tbgSGxFPckIySrkKpVyJIlmR8lwpV6JUqFDItR0ThBAIjUh51PznudBotL9rBBqN5s3f/2+5Rq1BpVAhT1KgSFKgSFYiT1KkpPZ/DBMzYyz/I67Y2mUjX9E85CuWm7wOuclbNLdOJnt69GQEokJj8Lnnx/O7fsRGxNFudPMPtjX9f1RKFcOrTib8ZQTrHizOMB4karWao6vOsG/xEUL8wgCQGcgoW7cUbUc0pVKTcmna/ehnIMQ/jBPrXTmx8RyRQVFky5OFxn3r0qRf3QyTpbJz3kE2TtnBonMzcKxdEtCWdJz+5wJH/j7Fq6dBmFqYoFFrUCQrKVa5MG1GNiMyKIpDK04Q4h9G7kK2tBnZjEa9a2Nm+a4wp9Fo2LPwCFtm7EEp12aJOdYuScfxrbh/8SF7Fx1hm98qsudNPbsjNCAc9/3XuLTfI+XGvUDJfNRs74RFZnNWjd7MvJNTKVevFLM7LcH9wDUmbBlO/e41dToHQgiWDlrD8fWutBjSkJdPgrh77gFCCMrVK03jvnWp1rrSW8asQT4h7F9yDJ/7/vh7vSQ2Iu6tbcoMZNiXscO5VSU0ag37lxzDyMSQ6fvG4Vir5Nv7VwdD0iHg7TbX/5KUkMzeRUcpUbUIFRuV1emYUkOlVLFn0RHyFc1N9bZVOLzyFKbmxjTuWzfV8cE+D7DNcQ5MWyFZ/5HqTXloQDjH153lyMqTxEUlUKZWCTr92ppKjct+9WzcA8tcWDV6M9t8/8bWLvXPm0g+h4gezNq5zbl1HtZ5Lk6z/Wsi+4LKBym760c7MH1LRPw6RPxCMO+NZDVJnxX9FRFJhxExU8Agp9bvyLAwQumFSD6JZDHwhy6x0gspOqAXUvRkZIQQzO68hCuHrvP3zT/eMY/80VEp34gr8iQFyQnyN10TohOIj9Y+j4+K1z6PSSAuMp5gnxBC/MP573dcjvzZyOuQm3xFteJK4bIFcKhcWJ/NouenxNfTn18qTqBam8pM3TXme4fzyfh5BbBp6i6uHbuJWqUVXC0ym1O5SXka9KxF0Qr2WGfL9J2jzDioVWquHruFy7qz3Dx5F0kCp5YVaTOiGWVqlUjXNzLyJDl9i48iU1YrVt6Y/5aYptFouH3Wk8MrT3D16C0kScLUwoSk+GQAytQqQbtRzanSvLxO5s5RoTH8PXIjF3ZfQWYgSxH7nVtVYubBX3WKN/xVBO4Hr+O2/yqelx4hhLZjVcFS+SlUtgBntlz8LD8RpULJuLoz8bnrx9LLs7GyseDU5guc3nyeYL8wLDNbUKdLdZr0q0vhcgXfek3DXkawcfIOXHe4YWBggL2jHWYWprx6FqQtbfo/CpTKT8WGjuRzyE2+YnnI65CbzNkzffB98lubBTy+9pQdL1Z/dtaT63Y35vdYzkLX3yhbpxRbZ+1l68y97Hix6p0SpTNbL7Kg11/0mxpDx1/8wKwLUqYZ740xKT6J4+tc2b/kGGEvI7B3tKPT+FbU6uj81bK0prWcz4vHr/jnyYr3jhEJmxBx89ixZjzb5rhyNH5rml23iKTjiJhRSDYbkUyqp8k20wIhBCJuHiRuRrIcC2btv3dIn4dkkiGECKG4g4j+BYQcKfNSJBPdBNyMjl5I0QG9kKInoxMTHkuvIsOp2MgxQ97wfC/kSXJePQ0mwDuQgMevePkkkADvQF56B5IYpy1nMrUwwbF2ScrXK0P5BmWwK5E3Xd8w6NGTluyYe4BNU3cydddoanV0/t7hfBbx0Qm4rD3L2W0XefHo1VtZbDa2mSlU1g770nYULGNHkfIF04W5ZHonxD8Ml7VncFl7ltiIOOwd7WgzvCl1u1bH2DR9ehb8a9o6ftNQGvaqneqYIN8Qjq06zfH1Z4mPTqRgmfyM2/ALRSt8eu3/bVdPlg1ZS+CzYLLksqHXrE406FHzk29wI4OjuHzwOtt+30dkcDQAXSe3pc/sLp8c07/b+6XiBAyNDFl5Yz7W2TKh0Wi4e/4hpzadS+noZ+9oR+M+danUpBwua85weOVJhEZD80EN6Tql7VsZbgkxCdr/o96B+N735+x2N6KCo98SkgCy583KqDWDqNykXKqxuR24xqz2i+g7pystf2mIhbVuJsD/ZXy9GQT7hfHP0xXIZDICvF/Rt/gohizuTdtRb4Sn22fvM7npXAqVLcDzu75M3yxRte5tMO+HZPXrB//PKxVKzu1wZ8/Cw7x49IqcBbLTfmxLGvWpk6aZrSqlirZZ+1CvWw1Grhr43nGa2BmQ5MIF18XM676ctfcWpdmkmhAKRGh1MHFClnlZmmwzrRBCg4gZA8nHv3coX4ABmPdCshyOJPv09/u3RKgDtf40qidIVpPAvOcPfz2sF1J0QC+k6PkRWD9xG3sXHWHz0xXv1Dvr+TSEEEQERfH42lNun/Xk9tn7vHoaBECWXDaUr1+a8vXLUK5eabLl1hta6vlxUavUjKw2hSCfUNY/WPxJ5UHpESEE53e6s3vBYXzu+2NobIiVjQVxkfGolFpvldqdnPllWV9scmSMcqbviTxJzrkd7hxY5oLfgwCss1nRfFBDmg9pmO6+GzUaDSOcJhMRGMXGx8veMUUFbTbJI48n3Hfz4prLbcJfRpCcIKfZgPr0mdPlkzOYFMkKds47yO4/DqFUqDAxM6aEswNlapagTK0SFKtSBGMT3YSVGyfvMLnpXHrP6kTXKe2+6Abm8fWnjKn1G0XKF+TXf4a9ZaIaFxXP+Z2XObnpHE9v+QBan6X6PWvRY3oHnVrrqtVqNk3Zye4Fh3GoVIh2Y1oQFRzNiQ2u+D0IoP2YFvSd2+UdUUmpUDKy2lSe3vLByMSIKs3KU6dzNao0K/9WydH7CHweTK8iw+k9qzPdprZLWT64/HiMTY1YfmUuAM/v+TGm5nRsC2RnyaVZ7F/iwtZZe9h8Owe5cp5FshyBZDnso/vTaDRcPXqL3QsO4eXxBOtsVjTsVZsGPWuliZDx4PJjRteYxvS9Y6nRrur744jsAyIW/8DFDHQcx6RtI6jbtcYX7z9l+7FzIHEHUg43JFn6+lwLoYDkEyDiv3con4VQPoSkfSDLpTV0NU3dBye98JYJrWkTMLD/6DqSiTOSccbsqKcXUnRAL6To+REIfxVBD/uhNB/UkKHL+37vcH44QvzDuH32PrfP3ueOqycxr00FC5bOT4/pHajetsoPr8zr+Tnx9wpgSIUJVG5ajt/2jUv1fS6EIDYijmDfUKLDYilTq0SqN6rpiUfXnrJ7wSGuHLqBkYkhzq0qkTmHNcdWn8bU0pRBi3pRt2v1FNNrSXrzo+dthBDcPf+Ag8uPc/XoLWQGMmp1dKLNiKYUq1zke4eXwgP3R4yuOZ2eMzrSdUpb/B++5OEVb7w8vPHyeELgM60ZqqGRAbkL5+TFo1fkLpyTIJ8QLK3N6TWrM80HNfjkMo7YiDjuX/Li/kUv7l/ywueeP0IIjEyMKOFUNEVYKeHs8F5hRaVU0TnPQMrVK82UnaO/+Fxc3HOFP/uvQqVQ0X5sC7pMbvvOZ/b5PT9unrpH1eblPytTy3W7G4sHrMLGNjMzD/1K3qK5WDN2C0dXn6ZoxUJM2TmK3IVyvrXOv50Ez+905+KeK0SFxGBuZYZz60rU6Vyd8vVLY2hkmOr+Nk/bxc55B97xotk1/yAbJu9gq89KZDKJEc5TkMlkLLsyh+x5s6Z4QkW8CmfLPWuMhQuS1QQki346HacQggfuj9m/5ChXj91GrVJj72hHg+kVUNEAACAASURBVB61qNu1Olly2nzyuQPYOnMvW2ftZV/YBjJleX8rek1YXTAqi9r8D1pY9qDD2Bb0m9fts/aZGkLpjYhogWQ1Gcmid5ptV48WobiFiP0NVE/ApD5SpmlIBt++Q5SuaE1ol0HCekD50fGS5WgkyyFfP7CvgF5I0QG9kKLnR2FBn79w23uV7S9WffCfrp4vQ6PR4HPPn1tn7nN220X8HgRQoaEjw5b3/ew21Hr0pGf2LDzMugnbGLK4NznsshHsG0qIXxjBfqHaH99QkhPkKeOz5LKh18xONOpdO913eAnwfsWehUc4u/ViSlbKx7AvY0f91zdJWXN93k3Sj0rg82AOrTjBqU3nSYxLomzdUvyytA8FS+X/3qEBMKvjn1w9chMjE6OUEk4bW2tKODtQ0smB4k5FKVrBHiMTIw4sdWHNuC0UKJUP80xmPLzsjb2jHcOW96N0Dd06YKVGXFQ8nm6PUoSV53d80WgEeYrkYv6pqe/N+lg2ZC1ntlzkjzPTKens8Nn7/5fwwEjWT9yG6zY3sufNysCFPajV0TlNxULvm8+Z0WYB8VEJjN88lJrtnXA7cI3F/VehUWsYuXogdbuk7r2hVqu5d/4h53e643bgGgkxiVhns8K5ZSXq96pNmf+8Bmq1mh4Fh1KgdH7mukx+aztBPiH0LDyMHtM7cHHvFSICo1ji9vtb70lfT3+GVpqIU6tyTFn9EuQnkTLNQjLv/EnHGx0Ww4XdVzi79SLeN54jk0lUaOhI/R61cG5V6ZNKf0bXnIYiWcnK6/PfO0YIBSKkDFgMQWY1kgFlxmBrl53ZRyd9UtwfQxPRHkQyUtajejH5KyCEEhI2IeL/AskAyXIEmPd4q5OUnm+PXkjRAb2QoudHwffBCwaWGUuf2V3oOrnt9w7np0CtUnN01Wk2TduJIklB+7Et6Trl3Zk9PXoyMmq1mtE1pvHo6tOUZeaZzMhZMAc5C2h/bAtkJ2fBHBgYGrBjzn68PJ5QoGQ++s/vRuWm5dP9xXd4YCRu+66iSFaiVqt55PGEm6fugiRRoYEjRSsUBCRUShV3zj3g8bWnyGQS5RuUoX73Wji3rqT/3P+HhNhETm44x/Y5+0mISaTlkEb0nNkRK5vva6wY7BfKkkFryFM4FyWdHSjhVJScBXO89/15+dB15ndfjnX2TLQe0YQDS10IC4igbtfqDPij+zsGpp9DQkwCN0/fZ9ngNRiZGjP/5JRUS0N8Pf0ZW/s34qISKOFUlPZjWuDcupJOJrgf4sHlx/w1fAPP7/rhWLskQ5f1SVPj+oigKGa1X4SXxxNaD2vCgAXdiQqJYW63ZXhd8aZR7zoMXdH3g5+fmIg4ds8/yPndlwl/qTW3LVy+IL/tG0fOAjm4fuIOU5rNZdqeMdRs7/TO+kMrT+DF41eoFWrmnZya0r3pv/ybuTJ5x1BqNdoB8otI1guQzFp91nG/ePyKs1svcnbbJcICIjC3MqNGu6o07luHktWKffA7MTEuibZZ+3w0u0SofBHhjbQdh8zaMLfbUh5e9ma736rPivm9+0nchYidjpRlL5KxY5puW88bhCoAETcL5Be1rYWtZyEZlfneYf206IUUHdALKXp+JCY3ncOzO75s8/073Zr+/YhEhUSzbsI2zmy5SPZ8WRmyuLe+3EfPD0VUaAxeV7zJkT8btgWyY2Vj+d73txAC94PX2TBpO6+eBuFYuyQD/uiOQ6XC3zjqL+Pfm+7bZ+5TukZxRq8dRD6HPIA2k8V1mxtnt10ixD8MM0tTqrerQv3utXCsXeKLb25/FGIj4tg8bRcua89glcWSvnO70ahP7Qx1fp7ces60FvNJTpQzYetwnlx/zp5FRzAwlNFtanvajmqms9fJh/B7GMDERr8jT1Tw+9GJlKpW7J0xSfFJnNp0gf1LjxHsG0oue1vajmxGoz6pt2XWFbVazfF1rmyauvOrCF8KuZKNk7azf6kLBUvnZ8rOUeQtmpstM/awc95B8jrkZsrOURRyLJCyTkJsIteO3eLSPg9unLyLIlmJja01VVtU5O75BwQ9D0GSJBr1qUNsRCwPL3uz8+Wad7xXNBoNQ8r/is99fwYv7kW7Uc1TPwcqNaNqTOPVk0DWPZiHjckEUNzQdikxbfTZx67RaPC89IgzWy5yaZ8HSfHJFKlgT9uRzajV0SlVA+JrLreY2mI+f5yZTvl6pd+7bSG/gIgaiJRlN5JxuZRW34eiNn+WWe9796OJR4RVA5M6SNZL9Nc2XxEhBMhPIWJngyYMzLsimTQGSQZIgOz1jwTSf36XLMAgjz6LJQ3RCyk6oBdS9PxI3Hb1ZEKDWYxZN5gm/dK3adWPyAP3R6wYtgGf+/76ch89Pz0qpYrj61zZOnMP0WGx1O5cjb6zu5DLPuMYYgshOLPlIqvHbCY5UUHP3zrQYVzLlJIljUbDA/fHKTdJibFJZM+blZodnChTswTFnYrqjWuBZ3d9WTliIw/cH1Okgj3DlvelhNOXl6d8K0JfhDG1xXz8vV4y8u8BlKtXmlVjNuNx5Ca57G0ZsKAH1dtU/uIbzGC/UCY2mk34ywim7RlDlWYVUh2nVqu5cugG+xYfxcvjCVY2FjQb2IBWw5t8kdHv1xa+rp+4w8I+K0mMTWTw4t40H9SAu+cfML/HCuIi4xnwR3csM1twab8Ht07dQ6lQkTW3DTXaVqVmBydKOBfFwMAAIQTH1pxh9dh/UCQpAChXrzR/nJ72zmuwesxm9i91AXjHiPb/CfB+xeBy4ylfvwwzDw6D6H6gfIBkvRCM3hW2PhV5kpwrh29yZssFgn1DyZzDmrpdalCrk9NbotU/M46zd/EVDkZu/uCkmEjYgoibjZTjKpIsC1eP3WJay/kscfs9VSHuS9DELYOElUhWE5Es9F58XxuhiUfEL4HEbYCu9+NGYFgQDAuBgT2SYSHtc0N7JCntOkr9LOiFFB3QCyl6fiSEEPxScQLyJAXrHyxGJpN975B+OtQqNUf+PsXm6bv05T569KCdWd676Aj7Fx9DpVTRYkgjmg9uSM4C2TNM5lxkcBR/Dd+A2/5r5MifjSb96tG4b523SjvkSXI8jtzk7LZL3Dp9L8VzJXfhnJR0dqB41aKUdHbArmTeDJWRkVYIITi/6zJrx28hIjCKBj1r0X9+t8824/zWJMQmMqfzEm6cvEvHcS3pN78bd1w9WT3mH/weBlCmVgmGLO5N4XIFv2g/UaExTGk6h+f3/Bm/aSj1u9f84HgvD2/2LT7K5YPXkRnIqNO1Ol0ntyNvkc83rPyv8FWgZD56zuyUJkIRaDM4F/T+i5un7lGtdSXGrBuCRqNhYZ+VXD9+B4Ds+bJSs11VarR3onjVIu+9lkmKT2J0zek8v+sHaD9rk3eMxKGiNvtt/5JjrB77D62HN+HpbR8SYhJZd3/xB+M7sNSFVWM2M3bDLzTqVQER2QNUj774uD8FjQb2b3Cm07TNHx4XOwuSDiHluIUkSYT4h9G94C+M+HsALQY3TNOYhNAgokeB/BRS5r+QTBuk6fb1pI5Q+YM6GNC8/hFvngvx5ndNDEL9HFSvf9QvX48DkMAgLxgUBEmHa1FZJiSDfGCQHwxfP0rWP10m0k8ppEiSZA9MAayFEO0/Nl4vpOj50Ti3w4153Zfz+5GJVG2e+myWnq9PZHAU6ydu58yWixStWIg/Tk/DMnPapdrq0ZPRCA+MZOuMPZzceA6NRnt9YWNrja1ddnLYZcc2fzZy2GXXlg/ZZSeXvS3mVp9frvA1uHrsFgeXu3D7rCcymUSV5hVoNqA+FRuXfUsckSfJeXrLBy+PJ3h5ePPwyhOiQ2MAMLcyo1jVIpR0ctB2a3EqmmEEpbQgKT6JHXMPsn/xUYxMjOg4vhVl65aiYOn86e71/n/UKjUrR2zk6OrTVG9bhQlbhmNkbMjx9a78M30XsRHxNOpdmz5zunyRQJQQm8iMtgu5e+4BQxb3pu2oZh9dJ/B5MAeXHefkpnOolWo6T2xD54mtU31vCSFITpR/UOAXQnBprwf//LabAO9AilSwp8/vnanYqOwX31BpNBoOLHVhw6TtZM5hzYQtwylTqwTXj9/BOnsmHCoV0mkiSAjBgNJjkGQSSrmKV0+DAHBuVYmKjcqy/Jd11GhXhSm7RnN01WlWjtjIOs/FFCj5/i5EGo2GcXVn8PyuH+s8F5M9jwnI3XhzU5q2hAaEc/PkXTzdH6FWqSlQMh8Ope9RrkYCssyLkMxavD/WyH6giUSW7SCgPR+tM/eiXveajFjZP81jFSIZEdkdlE+Qsm5HMnp/2dGPihAaJCn9T1IKIQeVL6ieI1TPQO0DKn9A9bE1QROtLSv6L5KVVlAxyAeG+ZBkOUHSYULAqAySUanPPYzvSoYTUiRJ2gg0B0KFEKX+s7wxsAwwANYLId5vYf1mnX16IUXPz4hKqaJn4WHksrflz/Mzv3c4Pz1Xjtzg9w5/UrhcQeafmpqmdct69GREXj4J5NHVp4T4hxHiH0boizBCX4QT+iIcRfKbdoqGRgY06lOXzhNbv7eTyfci8HkwJ9a7cmrzeaJCYsieLytN+tajUd865MiX7Z3xQgiCfEJ4eMWbRx5PeOjhjZ/nCzQagbGpEaWqF6Nc3dKUrVuKIhXsf4qMlVfPglg95h+uHruVsix3IVvsHQtgX8aOQo4FsHe0w9Yue7qaCRVCpHT0yVcsN04tKlLCyYH8JfLisuYMh1Ycx8jEiC6T2tJudLPPFskUyQrmdV+O+4FrdJnUhj6zu+h0HiKDo1gzbgvndriTp0guRqzsT/n6bwwrk+KTmN56Af4PA1hzdxE2tpk/uD21Ss3ZbZfYNmsvwX5hlK5RnN6/d6ZMzRKfdVz/5dkdX+Z2XcrLJ0F0ntianjM6vre9cWo8uvaUEU6TGbV6IE0H1MdlrbbcR56oLfcpXrUIC11/w8TMhMjgKLrkHUSXyW3pPevD3XiCfEIY6DiWEs4OzD859Zu8/6LDYnBZc5Yjf58kISaS3Y9kmBk/+KBHiyasARiVQJZ5WcqykdWmYGBowOKLs75KnEIdjojoACiQsu5FMvh5ypeFOhgR3kxr7mta/3uH81URmkRtVov6BagDEOoXoAoAdcDrbJePtz4GffvjtIzn4zuUpJpAPLDlXyFFkiQD4AnQAHgJ3AC6oBVV5v3fJvoKIUJfr6cXUvT8tPybzvrXtXkZzuDxR+TK4RvM6vAnDpUKMe/k1HQ/66pHz/dACEF0aMxrgSWcO66enN58Ho1G0KBnLbpMakPuQjm/d5hvoVKq8Dh6i+PrznDr9H0kCSo3LU/TAfWp3LTcBwWRhJgE7l96xB1XT+6c88TvQQAAFtbmONYuSbm6pSlXrxT5i+dNV0JCWhMaEM7zu3743PPn+X3tY+CzYP69BrWwNse+jB35i+cln0Nu8hXLQz6H3OSwy/ZdBSePozfZPnsfz+74oVa9LuMqZEuBUvkJ9gvF554/OfJnY+CCHtTs4PRZr6FarWbFL+txWXeWpv3rMWLVAJ2P+daZeywfup7AZ8HU7VqdQYt6YmxqzJRmc3l8/RkGBjKqtqzI9D1jddqeUqHkxHptJ6bIoCgqNHSkz++dv/gaIykhmb9HbuLkxnMUq1KEyTtGkqugbj5KSwau5twOd3YFrsUikzmgbS+9YtgGzu90p2jFQsxxmUTm7FqfovH1ZxL+MoKNj5Z99PU4uvo0y39Z91XKZD6EUqEkyCeUfEUzI6L6gfL+61Kaum+NE0KJCHEEiwHIrEanLF86aA0X93pwIGLTV/veEKpniIiOYJAbKcsuJNn37cb1rRDxKxHxy8C8K7JMM753ON8NIdTarBVdvFskcySZ+VeP6WuQ4YQUAEmSCgDH/iOkOAEzhBCNXv8+CUAI8f8iyv9v571CiiRJA4GBAPnz56/g7++fZvHr0ZMeSIxLomv+wVRs5MjUXWO+dzh6ALcD15jdaTElnIoy9/jkL+qwoEfPz0LYywj2LDiMy7qzqFVq6nWrQdfJbdOliXOQbwgnN5zj5MZzRAZHkz1fVpr2r0+T/vXImuvjZR5RIdHcPf8wRVgJ9g0FIF+xPPSa2Yka7ar8NL5XSfFJ+D4IwOeePz73/Hh+35+ARy+Ji0pIGWNkYkSeIjm1wkpRrcBSqnqxb5699P9lXF4eT4gK0ZZxSTIJoRHYlcjLiL8HUKp6sU9+DYUQbJ62ix1zD+DUsiKdJ7bBoVIhnQQVRbKCXfMPsWv+QYxMjDC3Nic6JJopu0YT8DiQjVN2MH3fOGq0raJzPMmJco7+fYpdfxwiNiKOaq0r0W9et5SOVp/Lxb0eLBm4GkmSmLBl+EdLk5MSkumceyDV2lbm103D3vm72/6rzO+xnGx5szL3+GTyFM6Fy9ozLB28llW3F1C47Ie9bIQQTGw8G68r3qy99+d3MckWmjhEVG9QPkayWYVk8sYvR6heIMLrI2Waj2TeNmX5ob9OsHLERna8WE32vF/envu9sckvI6IGgLETks2aH75bjBAaRFg90LwCozLIsu773iHp+cr8KEJKe6CxEKL/6997AFWEEO9+a2r/nhWYgzaDZf3HBBd9RoqeH5X1E7exd9ERNj9dofPsjp6vy8W9HsztupSS1RyY4zJZb0CrR4+ORARFsXfhYY6tOYNSrqR252p0ndwWuxLv9zr4XqiUKq4eu8XR1ae5feY+BoYGOLeqSPPBjShbp6TON9JBviHcOevJgWUu+Hu9pEj5gvSZ3SVNPCoyIkIIYsJjeekdSIB3IAGPXxHwJJCAx4EE+YSgUWswMTNm4rYRVG+juzDwNeIM9gvlkccTHlx+zJXDN4gIjAIgU1YrqjQrT8VGZanQoAzW2TLpvN0Dy7TlRBq1hkxZrajQsAyVGpWjYiPHj5bn3HfzYnKTucgT5eQtmospO0dToFQ+hledTERgJOsfLiFTFqtPOs6E2EQOLHVh3+KjAMw6PAHHWiU/aRv/T5BPCLM6/MmzO750mdSGXrM6vVcwOrX5PIv6/s3ii7MoXaN4qmO8PLyZ1vIPJEkbX54iueiYawAdxrag//zuH40nNCCcAaXHUKBkPn7bP+67GCMLTQwisieofJBs1iKZOGmXyy8hovojZdmBZPzmXu/exYeMqzODOS6Tqdyk3NeNLXEPInYqmHVByjTjh/5eEnI3bYaQQQFQByLZ3kaSfh5vq5+Rn1JI+VT0QoqeH5XwVxH0sB9K80ENGbpc36ouvXBupzt/9FhOmVol+P3oJEzN9S3p9OjRlajQGPb9eZQjf59EnqigRvuqtB/TgmKVC6fLi/hXz4JwWXOGU5svEBsRR54iuWg+qAENe9UmU1bdblzVajXntruzZcbuFI+KvnO6UKp66jePPyNKhZKX3oEsGbSGx9ee0W9eNzqOb5lu3hPuB66xsM9K5ElyjM2MSYpLRpIkHCoVomKjslRqXJZc9rZEh8YQFRKT8hgVEk10aCxRodpHRZKCohULoVKpuX3mfoqBcZEK9lRqVJZKTcpRvEqRlPbc/I+9uw6LavsaOP49dAiIInZ3d2ErditidycqKAaKIAaKLXaL3YGFCop4xc6rXgM7QOmO2e8feP1dX2sAhwE9n+eZZ3TmnLPXwDAzZ83ea5HcUnmipTOhgWF0HNOKY+vOEP4hnI5jWlGvS21sGzjSuEddJm5K3cfqwJcfmNzChbdPA5my3SbNSaz42Hjcx2zg2LozVGpcjinbbL6ZKBpXfxoh78PY+ODHy3RePXrL1Faz+PA6mEkeNhxfd5qXD16z5Ym7Us8Pn11+zOu7HG1dbXpNs6LDmJZo62in6TGmlFAEJ3cPSnqFZLoOSac6ImorImImUg4/JM0cn7cND46gs9kABrv2wnpCe5XHpoiYD1Frf/u2yIqQUZBwFcloEiJsIlL2A0jaaUscyjK23yWRkqqlPcqSEymy39m8/svx3XOJbS9WpvjbJpnqnPY4z7y+y6ncpBzOh+zR1ZeTKTJZSoR9CGf/Yk8OLjtOdEQMRSoUpPWQpjTpWTdDFnSOj43Hd58/R1ad5J7fQ7R1tWlgXZu+Tl2VXoryuUaFy16C34VSvWVlBrh0T3O73d9JXEwcbgNW4LPrIi0GNGbMikHpftL7PUGvPjLTegH3Lz2icY965C2ei2unbvHA/9HnLlb/n5a2JlnNTchqboJpThMigiN5cPkx2fOY0nVie0pWL8ZN73tcOXGDv//6B0WSgixZDbHsVZ+ukzoQExGDfdOZxETGMufEVErVKE5ESCTrJ2/Hc40XuQrloIxFSc5uv5CmGQzhHyNwaDuHh5cfM9p9MG2Gpr017slN3iwdsRajbFlw2Dnui8Thq3/e0L+UDQNn96DbpI4/PVZoUBjT27vywP8xDbta4L3Tj2WXZlOqRnGlYnn16C2rxm/C3/M6+UvmYcSSAVRrVjHVjy01RNIHRHBPUAQimW5ExHpCzF4k8+tfJYS65RtC5Sblsd88WvVxCQUi1AbiTv22bZFFUhAiqAEY9EUy6P5pSZUzksGPixbLMrffJZGiRXKx2SbAa5KLzfYQQtz7FePJiRTZ7yzg7guGVLCl38xu9JzaWd3hyP7j1GYf3AasoFrziszYP+GPan8qk/0qUeHReO/ww3ONF49vBKBnoEsDawtaD22aYWepBNx5zpFVXnht8UFLW4sJm0Zi0a660vvHRsdxaPkJdrkeICIkivpdkhMyBUqlrUbF70KhULBlxm62ueyjUqOyTN9rh5FpxiiGmRCfwKrxmzm84iQVGpTBYec4NLU1uXH6DqFB4Zjm/F/SJKu5CVmyGn7xHBZCcNP7Llud93Dn/P1PCZUOtBrchIS4RK6fvs3Fw1fw2XkRSZLQ1NJA10CXeaenU7RioS9iueN7n4WDV/Lqn7cYZjVAz0CX9X8v/ly0NaViomKZ1W0R/p7X6TPDml7TrNL89/fk1jOcuyzgXUAgQ+b1ptPY1kiSlLx0ecERtr9YpVT9IUhOss3ptRS/A5fR0JDoMLoVwxf1S1E8/p7XWDFuE28ev6NOh+oMXdA3XZdOi6R3ye2HFSGgmRPQRsPs0FfbTW7pQsj7MFZdn58+cf3bFjnxEVI2j9+uLbKIXI2IXIBkdhI0CyECa4BeczRMXNQdmkyFMl0iRZKkHUBDwAx4DzgKIdZLktQKWExyp54NQohZv2pMOZEi+91NaTWLxzcC8AhYIZ+sZzDH159h4eBV1Gxdhel77dDRzRjfnMpkmdHDq084tsaLszsuEBsVR5EKBWk12JImPeuRJWvGm6Xy9ul7Zlov4NH1AKzGt2XgnB4pav0aFRbFngVH2LfoKPEx8TTuWY+eUztnyEK86uC19RyLBq8iV2FzZh6ZRN5iudUd0mdeW8+xZNgaspgaMn2PLWVql0zxMW753GOL025un/ubbLmy0nViB1oPtURXXxe/g5eZ1W0RCfGJaOto0W5Ec7rad/hqiUx8bDxbnfeya95BhEJQtWlF5p50SPXjSkxIZOGQVXhtPkfb4c0ZubR/mjsrRYVFMb+/O34Hr1Cvc03Grh7K4HLjKVG9KDMPTUrRsZKSklhtu4UDS4+ho6fN3qANKa5VFh+XwP5FR9k2ax9JiQqsJ7Sj26SO6bZMVyS9QXzsmVz0VLcFGqZLv9pmzYQtHFx+giMRW79Y5vUtUeHRHFlxkjbDmqXpdfJzW2QRDjrVQKs4klYJ0CoOWkUzbT0RIRSID81AIxca2T0AUAT3B0UIGmYH1RydTJUyXSJFHeREiux3d/3MHeybOjN+7TBaDmyi7nBk/8+/XQSqNqvIoDk95Wn6MlkaRUfEcHb7hc+zVHT1dWjUvS5Wtm0pWDqfusP7QnxsPKtst3Bk5UnK1C7B1J3jMM9vlqJjhASGsXveIY6sPElCXAJNetWnx9TO5CuecRIH6nL3wn0cO85HCIHTgYnfLUqqDk9uPcOpsxtBLz8wbGE/2o1ojiRJxMXEEfwulOC3oQS/CyXkXSjBb0MIfhdKYmIince2+WJ2yS2fe2x13sMtn3tky5WVZv0acdj9BCY5jBm/dhintvhwZut5tHW1aTu8OdYT22NqbvJFLI9vBDC5hQuhQeGUq1cah53jlJ7p8f8JIVg3aRu75x+inlUtJm0ZneYvcYQQ7F1whHWTt5ElqyHhHyNwOjARi/bKz+T6r7l9lnLGw5eCZfMxz2t6qorIBr36yFr7rXjv8CNH/uwMdetLfata6TILTiS+QIQMQDLog2TY56v7vbacY16/5ay7t+iHr3kJ8Qk4tJnD9dN3lF4m9eO4niIi3SHxISQ+BRI/3aOZXKRVuwSSVvHk5IqUzrPEdKogSSnvlijiLiJC+iGZLEDSbwuAImIhRK1DynkDSZKXZv+u5ESKEuREiux3J4RgRDV74mLiWXd34R/TPjMzObrai1XjNxEXE0+pmsVpM7QpDbtayLVTZLI0+ufaEzxXe3Fmmy9xMfHUblcN6wntKVenlLpD+4LPLj8WDVmNlo4W9ltGp6pWRcj7UHbPPywnVP6fN0/e4dBmDm+fvmf82uE07dNA3SF9FhESiWufZfh7XidnwRxEhEQSHR7z1XYaGhJZzU2Ii4knJiKG1kOa0s+l2xe1z26du4eH8x5uet8jf6m8zPOahlne5Pa3rx69ZZvLXs5u80VHT4d2I5rTZUI7sub4X0IlKjya3kVGEhESiaGxAcMW9KV5/0apTgzsW3SUVbabqdiwLE4HJvyS2kW3z//NrG6L0NDUYOtT9xTN4Pqv6IgYOpv1R6EQaGpqULdzTVoObELFhsp31frXHd/7LB+znqe3ntN6SFPGrBiULp+zhBDf/d08vhHA8KoTcdg5jgbWFt/d37XvMs54+GKc3Yg8RXOy7NIvKT/56fjxkPgcEv9BJD6CxH8g8REkvQDUcH6pXSW5w5GUst+NInQsxF1EMvf9x+vxzwAAIABJREFUnDQRsacQoaOQsu1B0knfWjmy9CMnUpQgJ1Jkf4Kz232Z02spMw9PolabquoOR/YNESGReG05x9HVXrx88BojU0Oa9W1Im2HN5Kn6MlkahQaFcdj9JIfcTxD+MYIytUtgPaE9tdtVyzDJ5Vf/vGGm9UKe3n5Ot0kd6efc9afT8r9FTqh8LSIkEucuC7h59i49pnSir3PXDPN7VygU7F/syYPLjzDNmZXsuU0xzZWVbLmyYpor+f/GZkZoamoSERLJFsfdHF55EkMTA/q7dKfV4CZfLJ95fCOAXIXNv7lM4+XD13jM3Iv3Dj+ymBp+NUvnls897BrPwCxvNj68DqZyk/KMWzM01XVAzmzzZX5/dwqVy8/sY1N+SfvgqLAoYqPjUz1j5l/O1gu45X2Xht3qcnabL5GhUeQpmpOWA5vQrF/DFMWalJjERocd7Jp3iCa96jFhw8hU/e3+KvGx8bQ16k33SR3pN/PbBVHXT97GTteD9JvZDUmS2Oiwgx0vV31OvqmKEDGQGADi64ShyiTcQETMS27RbNBD6d2EIhgRWA8MeqJhPOV/tye9RQQ1QDKajmT48zbassxJTqQoQU6kyP4EiQmJ9Ck2Ci1tLSZuHpXhvo2V/Y8Qgtvn/ubIqpNc2H+ZpMQkKjUuR9thzbBoXz3V38DJZLLkQq0nN3qzd+ER3gUEkq9EbrrYtsOyd/0MUUMqLiYO9zEbOb7+DOXrl2bK9rGY5cmWqmMFvwth9/zDHF116nNCpf2olpSoWiRDFuFVtcSERJaOWMfx9Wdo2NWCCRtHZojfeWoE3HmOu81Gbvnco2ilQoxaOiBF7bAD7r7A2cqN98+CsNswgsY96n2+b8nwNXiuOU0Xu3YcXXUKhULBoLm9aDu8WaqST1dO3sTZyg2jbFnoPLYNlr3rY2JmnOLj/Grn9/7FTOuFzDs9nTK1S+C7z59j605z5/x9NLU0qdW2Kq0GWVK1WQWl67xsn72fjQ47qNOxBlO2j1Vr3bMBZcaSv2QenA5M/Oq+Q+4nWD56Pa2HNMVm5WBePHjNoLLjGL18EO1GNFdDtKolhECE9IOEO0hmx5E0lUsMiqj1iAhXJLNjSFrFvjxeUB3QqYdGVlcVRS1TNzmRogQ5kSL7U9zxvY9rn2W8fx5E6yFNGTS3Z4YswCj7n+B3IRxff5Zja08T+OID2XKb0qBLbSzaV6d8vdJq/cZLJsvMkhKT8N13id1uh3l07SmmOU3oOKY1nce1zhAn115bz7F0+Fr0DHWZvM2GKpYVUn2s/yZU4mLiMS9gRt2ONanXuSala5dIczHQzEQIwa55h1g/eRtl65TE6cDEDHFSnxpCCM7v+YvVdlsIevWRJj3rMci1l9KJt/DgCGZ0ms+d8/fp69SVng6dkSSJqPBoBpcfj34WPZwPTmT5mA1cPXmLCg3KYLd+BLmLpHx2ysMrj1k+ZgMP/B+hraOFRYfqtBpkSaXG5dQ2Myg2Og7rXIMoWDY/jvvsPv/cXj58zfF1Z/Daco7QoHBy5M9O+5Et6WLXVqlYDyw9xoqxG6nWvCKO+yakWxHa/29m14U8uvaULY+Xf3H7hQP+OFstoFbbqjjutUNTSxMhBANK22BeMAeuJ6epJV5VE4nPER/agG5DNEyX/Xx7IRAfWoCGKRrZd351vyJkCCS9RsPMUxXhyjKAtCZSNGfMmPELw8mY1qxZM2PIkCHqDkMmU7mcBXPQ8lOLxCMrTnBqkw/mBXJQsEy+P/LbycxAP4s+FeqXocPolpSsXoyQ96H47LrIiQ1nOeR+gud/v0IIQY4CZmjryDNVZDJlaWhoUKhcAVoNtqR8/dK8CwjEc40XV0/eonrzir+knkNaFK1YiDodquN/7Dr7FnmiUCgoX790qk469bPoU615JdoMb0aBUnmJCI7EZ5cfx9ad4dja07x5/A5tXS3MC5ihoZkxlruoiiRJlKtbioJl8nPY/STn9/5F9RaVMc5u9POdMxhJkihUNj+thlgiSRLH153h8IqTaGhqULJG0Z8myHT1dWnUvS6BL4I4sOQY754HUqNVZfQM9ChQOi/7lxzD0MQQ23XDMS9gxqnNPhx2P4mBkT4lqhdN0ecGs7zZaDWoCfU61URDUwO/g1fwXHOa01vOERMRS+4iOVPddjm1tLS1yFM0F8fWnubkhrMUqViIPEVzYWJmTNVmFelo04oiFQry7lkQx9aeJjI4iuotKv30cZeuWRzz/GbsX+zJHd/71O1cUy0zU14+eM2FA/50sW2Ltk7y+Hf9HuDYYR4lqhXB+dCkz3FJksSHVx/x3uFH+1Et0NVXfzL5V5M0sgIaEOMBWmWQtIr8eIeEqxC9HsnIBkn769leIjEA4k6BQf9M25FI9mNOTk5vZ8yYsSa1+8szUmSy39Sj609ZNHQ1j649pWbrKoxePoicBXOoOyyZEmIiY7h66jYXD13G/+g1IkKi0NHTpmqzili0r0GtNlW+KCAok8mUc/HQFVz7LkNLW4upO8amaRbIrxITFcvy0es5tcmHSo3KMsnDJs21ISC5sOjlYze4cMCfy8euExsVh5GpIbXaVaNR1zpUbVYxw9QQUZV7Fx/i2MEVIcDpwIQULY3JiN48ecfK8Zu4dOQaFRuWZeZhe/Sz/LxLiRACD+e9bHHaTcWGZXHcZ4eRaRbm9VvOmW2+1O9Sm4Kl82Ga04TT23y563uf8vVLY7tueKpbSsfHxuN38ArH15/hxpk7aGhIVG9ZmZYDm1CrTdV0nW35/P4rXLou5Pm9V3Sf3JE+M6y/GF8IwWq7LexbdJRu9h0YMLuHUkkk751+uPZZRrHKhZh9fOoXhYHTw4UD/jh1dmPpX7MpXbM4z++/YlxdB4zNjFni5/LVTKy/L/2DjcVUJm0dQ5Oe9b5z1MxNiATEx46gCE9erqPx/c5BilA7iPNGMr/wzW4/ItYbEToUKds2JJ3UdY+SZWzy0h4lyIkU2Z8qKTGJg8uOs2l68pTFfs7d6DC6pbxcJBNJTEjkju99Lh68gt+hywS9/IiGhkTtdtUYsWRAituoymR/ulf/vMGpsxsv7r+ir3M3uk3qkCESCic3ebNs5Dr0jfSZ7DHmlyZ54mLiuHbqNr77L/HX4atEhUVToHReuti2o3HPemqt86Bqb568Y2rr2bx/FsSETaNo1K2OukNKM68t53Ab4E7p2iWY5TlF6Zkepz3Os2DgCnIXzcWso5MxzGrA0hFreXjlCe8CAj9vp6GpkdwxBqhsWYGmfRpQtWmFVCfw3z59z/H1Zzi5yYfgtyGUrF6UCRtHUrBM/lQdLzVio+NYYfOpNlG90kzZbvNF0VUhBEuGr8VzjRf9Znaj59TOSh33ryNXmWm9kHwlcuN6ahqmObOq6iF85fXjt/QrMYZxa4ZRs3UVbCymEhcTz9KLs765PEuhUNA9/zDKWpRg+h67dIszvYn4G4jgbmDQGw1jh29vowhFBNYFgy5oGDt+e5ukIERQHSSjyUiG/VUZskxN5ESKEuREiuxP9/55EMtGrcPf8zrFqxRm7OqhlKhaVN1hyVJICMGTm884v/cvDiw5hoamBoPn9abV4CYZ4kRQJsssYqJiWTRkFd47/KjdrhoTN43KEPWknt17iUvXhby4/5oeUzvR27HLL69vkhCfwPk9l9jtdoint56TLVdWOoxuRZthTTEy/f63t5lZ+MdPtUJ879PfpTvdJ3fM9Mtdz+35izk9l1C8ahHmHJ+q9PP31rl7OHWaj6aWJk6H7ClTqwSQ/Dfx6uEbnv/9ihf3X/Ho+lPuXnhAbFQcAFnNTVh4zon8JfOmOuakxCR8dl1kxdiNxETE0MepK11s26brlzunPc6zZPgadPV1sN86hurNK32+T6FQML+/O6e3nmf4wn50GttaqWNeP3MHx/auZM+bjXmnp6fbFxwKhYL2xn1oYG3B45sBvH70lgU+Tj/8fLdk+BpOe5xnb+B6dPXVU9slPSjCnSB6O1K23d9sXyyiNiMiZiFlP/TNZT2fjxNYH3Sqo5F1gSrDlamJnEhRgpxIkck+Fa3be4kVNhsIfhdKnmK5KF+3NOXqlaZ8vVLkKZor03+w/JO8ffqehUNWcfPsXSo2LMv4tcPIUzSXusOSyTINIQQHlx1ntd0WchbKwYx9dhQuX1DdYRETFYv76A2c3ORNxYZlmbzt1yz1+f+EENw4c4fdboe5duoWeoa6tBzYhM7j2vyWy0Dj4xJYMHAFZ7dfoMWAxtisHJzpO6RdPHSFmdYLKFy+AHNPTlO6DszLh6+Z2noOH98EM3HzaBp0qf3N7YQQnNjgzcpxG4mJiiWLiSELzztTuFyBNMUdEhjGspFr8d3nT6kaxbDbOJKCpfOl6Zgp8eLBa1y6LiTgzgu62Xeg38xun5M5SYlJzOq+CN99/oxbPZRWgy2VOuZdvwdMbT0bI9MsuHpNS/WSqJQaVXMSD688QVNLk5mH7aneovIPt7966haTW7jgfMie2m1Tff6Y4QlF5KdCstmQsu9Dkv43604IgfjYBiR9NLLv/eFxFCEjIfExGjlOqjpkmRrIxWaVIBeblcn+V7Su5cAmZM1hTHxMPNe8buGzy4+Dy47jufY0D688IvhdKNq62mQ1N5YTKxmYkWkWmvZugFm+7J8KBJ5AR1+HkjWKybNTZDIlSJJE6ZrFqdSoLGe3+XLI/QQ5C5lTpIJ6kynaOlpYtK9OrkLmHFt7mhMbvSlaseAvT5RKkkTuIjmx7FWfOh1qEBkaxcmN3hxYeoyXD1+Tq7C5ShI46qKppUndjjVRKBQcWHKM+5f+waJdtQzRwSm18pfKS4lqRTm4/AT+ntep26km+oZ6P93PxMyYRt3rcPv8ffYtOoq2jjbl6pb66j1fkiSKVylMk571uHbqJkEvP3Jqsw/VW1RO03ND31CP+l1qk79UXs5s8+XgsuNo6WhRulbxdHn/MjEzplm/hoQGhnFg2XFuet+latOKGBoboKGhgUWH6vxz7Sn7F3uSp1gupV4TzAuYUa1ZRU5sOMvx9WcpVC4/+YqrPpny4PJjHt8IwHbdcOpbfTsh9l858mfn4LLjaEgSFu1/37ofkqQDmvkgeguSZIikU/V/dybcgKg1SFnGIGmX/fGBkl5A3HEw6Isk/b4zeP5UcrFZJcgzUmSyb1MoFLy4/5o7vve5e+E+d3zvE/TyIwCGJgaY5c2Gtq42WjpaaOtqoa2rjbbOp2tdLbR0tNDS0uLfz16SJPHvf764jeQ11xqaGmhoSP/796eLpqZm8rW2Jjp62mjran/zWkdPB119HYyzZ8EouxF6Brpysgf48PojS0as5dKRa5SqWRzbdcMpVDb91p7LZJndx7chzOq2iDu+9+kwqiVD3Hp/7oKhTs//fslM609LfaZ0otd0K5XOogh8+YEDS45xbO1poiNi6Gbfgf6zuv92ydkTG71ZPHQ1+UvmweXo5Ew/A+f66dtMb+9KrsLmuHpNVzrJER8bz/wBK/DZ6Uezfg0Zu2rId5/3sdFxzO6xmL8OX0VLW5O5Jx2o2LBcmmMPeR/KkhFr8TtwmVI1izNh40gKlEr98qGUOrvdl8XD1qBnqMuKa/M+t0iOi4nDoc0cbp+/z7Td46nbsaZSx3v16C0zrRfw9NZzrCe0p79LN5X+zT659Yy7Fx7QfmQLpfeZ02sJ107dYtebtb99zTxFyHCI80MyO4qklTyTShE2CWJPIuW4gKTx4yVxIu4CImQAkulmJN2fJ6pkmYu8tEcJciJFJlPe++dB3D7/N/f8HhL+MZyEuETi4xJIjE8k4fP1/25LTEhK3lEI/n09+fyy8vn/AkWSAoXi0/WnS9Kn69TS1tXGOHsWTMyMPydXjLMZYWJmRL4SeShaqRAFSufN9NO3lSGEwHunHytsNhAVFk1PByu62rfPECeDMllmkJiQyDp7D/Yt9sQsbzYadq1Dk571KFqpkFoTtv9d6lOoXH7GrhpKWYuSKh0zKiyKtfbb8FzjRb3ONZm4eTR6Br/Xt7E3zt7BqbMbOnrazDw8iZLVi6k7pDS5de4eDm3mkD1PNuafcSRHvuw/34nk946tTnvY6ryH8vVLM2PfhO8uERJCsGnaTrbP3o+kITFl+1gaWlukOfZ/37+Wj15PbFQc/Zy70nl8m19eH+h7Au48Z3StKZStU5I5Jxw+Jw5jImOY1NyFf64+wfnQz5fN/Cs+Np6V4zZxdLUXZSxKMnW7DeYFVJOsc+w471NSZI3SLd3P7fkLl64LWeDjRIX6ZVQSV0Yhkt4hPrQE7cpIputBRCQXmdXvgIaJ88/3V4QiAmsgZZmAlGVwOkQsS0/pkkiRJKkuUFwIsVGSpBxAFiFEQGoHTW9yIkUmy9gUiuSESmJCEglxCcTHJhAfG5+csPnPdXxsArFRcUQERxL+MYKIjxGEf4wg7NN1+MfI5NuCIz8naLR1tChULj9FKxWmaKVCFKtcmCIVCmJg9POWkZlRaFAY7jYb8dnpR5EKBZmwaSTFKhVWd1gyWabhf+w6R1ef4srxmyQlJpG/VF6a9KhHo+511FqH6OLhKywfvZ6glx9pPdiSgXN7qrQ4rBCCA0uOscp2M8WrFsH5kP1vtdQHkmf8OLSZQ8j7MCZvs6FOhxrqDilN7vo9YGqr2ZjkMGb+GccUzbQ5u90XtwEryFHADJcjk35YVPbsjgvM7b0UoRAMcu1F1wntf0X4BL8LYemItfgdvEL5eqWZtnt8unXB8VzjxeJhaxgyvw9dbNt+vj0yNAq7xjN4+eA1s49PpWKDnywF+Q+fXX4sGrIaTW1NJm4aRa02VX++UwoE3HnOkIrJ3XfGrx1Gy4FNlNovOiIGK/OBtB3WjOGL+v3SmDIiEbUVETETycQtOZES7oSUfT+StnIzqhRBTUCrLBqmS1UcqSy9qTyRIkmSI1ANKCmEKCFJUh5gjxAi0/SPkxMpMtmfJSkxiVf/vOHJzWc8vhHAk1vPeHzjGeEfI4Dk5UZ5iuWiQv0ytBvZ/LdMNFw8fIUlw9YQ9iGC3tO70G1Sh99+Cq9M9iuFf4zg/N5LnN3hy53z9wEoXas4jbvXo0FXC0zNU9cKNi1iImPY7LibA0uPYZzdiOEL+9Koe12Vzpj568hVZvdYjFG2LMw8PImiFQupbCx1CHkfyvT2rjy88oShbn3oNLZ1pl4y+uDyIya3mIWBsT7zzzimKPl37+JDZnScR2JCEo777KjU6Psnmvf9H2Hb0JGEuARaDmzCuDVDf8nPTQiR3Fln2BpMchjjfMg+XZ5zQgicOs/H3/M6y/znfPG5IDQoDLtGMwh88YH5ZxxTNHvp1aO3zOq2iMc3Auhi25YBs3v8slmys3osxv/oNUzMjDAvmIMF3k5K7+vQdg7P771kyxP3TP18V4YQScntkJNegmQKkh4aZgeU3l8RagMJd9DIcVaFUcrUIT0SKTeBysB1IUTlT7fdFkJUSO2g6U1OpMhkMiEEH14HJydWbj7j8c0Arp28RWx0HOXrl6bjmNZYtK+WblOJ00P4xwiWj1mP9w4/StUoxoRNo9J17blM9rsIfBGE986LnN3hy9Nbz9HQ1KBe55pM9rBRS4Ly8c0Algxbw4PLj6liWZ4xKwartEvI45sBTGs7l6iwaKbuGEvN1r/2m3V1i42Ow7XPMi7s96fdiOaMWNxfqd9rwJ3nHHI/ybndF+k6sT3dJnVMh2h/7tH1p0xq7oIkQV+nrrQabKn08/RtwHumtZ3Lq3/eYrNy8A9nObx7FsiwyhOICoumfP3SzD429ZctAXt0/SnT27sSGRKF/dbRStcoSYuwD+EMqWiHoYkBK666fvFYPr4NYWxdB2IjY1lycVaKElTxsfGsst3CkZUnKV2rOFN3jEtzXZ5Xj94ysLQNVrbt0M+ix2bHXXgErFD6uMfXn2Hh4FWsvD7vt/wy6f8TCQ8QHzsBiUjGTkgG3ZXfN2odImIekvklJI1sqgtSlu7SmkhJbgH1gwtw+dP19U/XhsDtn+2XkS5Vq1YVMplM9v9FhESK3W6HRc9Cw4WlZCV6Fhouds8/JMKDI9Qd2i/ls/ui6GTWX7TS7y72LT4qkpKS1B2STJZpBdx9IZaPWS8sJStxeMUJtcWRmJgoDrmfEO1MeouWet2Fx8y9Ii42XmXjBb3+KIZXnSCaaXYR+5d4CoVCobKx1CEpKUmsttssLCUrMbXNbBEdEf3N7eLj4oX3zgtiXP1pwlKyEq30u4vh1SYKS8lKbHHanc5Rf9+zv1+KcQ2SYxxQxkZcOnpV6d9ZZGiksG8+U1hKVmLNhC0/fM8I/RAuuuUbkvweWni4eP888Fc9BPHhTbAYVWuysJSshIfL3nR5zl3zuiUsJSuxeNjqr+57+fC16GTWX/QtMVqEBoWl+Ng+uy+Kdsa9RcdsfYXfoctpitNtgLtoqdddfHwbLN48fScsJSuxbdY+pfcPfh8qmml2EZsdd6UpjswkKXyxSHpXQyiSUvYZTxF7SSS9LS4UsedVFJlMXYCrIg05BmUSKXbAauApMBj4CxidlkHT+yInUmQy2Y8kJiSK8/suff7Q2cawp1gyfI14fv+VukP7ZT6+DRYObecIS8lK2DZyFG8D3qs7JJks01IoFGJcg2nCynyAiAyNVGssQa8/ipldFwhLyUr0L20jHl59rLKxoiNjhGNHV2EpWYklI9aKxIRElY2lLodXnBDNNLuIoZXtRNCrD59vD3r1QWyctkNY5x4kLCUr0bvoSLHb7bAI+xAuEhMTxbz+y4WlZCU2TtuRYZJMCoVCXDjgL/qWGC0sJSsxwdJJPL4ZoNS+iQmJYsnwNcJSshKOHV1FdGTMd7eNDI0U/UvbCEvJSrQ26CGunrr5ix6BEHExcWJOryXCUrISs3osErHRsb/s2N/zb0LN7+DXyY67fg9EK/3uYnTtySImKuWxvHr0RgyvOkFYSlbimtetVMX3/nmgaK7dVSwdufbzbWPrOYj+pW1S9NwbV3+aGFLJNlUxZEYKhUIoFHEp3y8pIjmREuGugqhk6pTWRIqyxWabAs0ACTgphPBK9RQYNZCX9shkMmU9vhnAgaXH8N5+gYT4RCo1KotZvuxoaWmiqa2FlrYmWtrJ/9bU0kBLO7kNdLHKhanarEKGXhokhODkRm9WjtuEEIJhC/vRcmDj3359tEymCv9ce8LI6pPoOrE9g+b2Unc4XD5+g8XDVhMVFs08r+kq60KjUChYP2kbu90OU71FJabuHIehsYFKxlKXy8dv4NJ1IYYmBgyc05OLhy7jd/AKQiGo0aoy7Ua0oFrzil+0hVYoFCweuobj68/Qzb4DA2b3yDCvrQnxCRxd5cVW5z1EhkTRvF9D+s7s9rnV7/cIITi47Dirxm8iR34zuk/uSNO+DdHR/bobXExkDEtGrOWMhy8A7Ue1YOSSAb+sbsou14NsmLqDEtWKMOPAxJ/GnhYJ8QmMqT2VwBcfWH3L7auxLhzwx9lqARbtqzFtj22K3/fjYuIYVnkCifGJrLm9AP0sKSt+7z5mA0dWnWLL42WfuwH9WyzX/cpcSlQtqtRx9i48wmq7LWx5spzchXOmKIY/jSKoOWgVQcN0pbpDkf1CcvtjJciJFJlMllIhgWF4rvbi3O6LxETGkpiQSFJCEkmJSSQmJF+SEhJRKP73GmqWNxvN+jakef9Gau3u8TPvnwfhNsCdm973qNGqMrbrhpMt1+/VjUMmSw+ufZdxbvdfbLi/mFyFzNUdDoEvP2DXaAbhHyNw9ZpOyWrKnVClxrG1p1k6ch15i+fC6aA9+YqrrkaLOjy59QyHNnP48DoYo2xZaDmgMW2GNSN3ke+fcCoUCpaNXMfR1V50sW3L4Hm9M0wyBSAiJJLts/ZzcNkxtLS1sJ7QHiu7tugb6v1wv1s+91g3eRsP/B+RI192utp3oOXAxujo6Xy17fUzt5nRcT4xkbHkLpKTOSem/rL6PRcPXWFOryUYmhjgdNBepc/vFw9eM6LqRMrWLcWc41O/SJoBHFx+HPcxG2g3ojmjlg1M8e/57oX7jG/g+DnhpKyQ96H0KjyCRt3qYrdhxOfbI0Ii6Zp7MG2GNWPE4v5KHevt0/f0KTaKYQv60nlcmxTF/6dRhNpBvD8a5r7qDkX2C6VHsdkI4N+NdABtIEoIYZzaQdObnEiRyWSqolAoiI9N4MrxG5zYeJarJ26iUAgqNixL8/6NqNe51i8rvvcrKRQKDrufZN0kD7LlNmXe6ekZ4kRQJstMAl9+YEApG2q3r87U7WPVHQ6QXBjXtqEjkaHRzDs9neJViqhsrJved5lpvZCkxCSmbB9LjZaVVTaWOgS/C+Ge30NqtKqMrr5yr+NCCNzHbOCQ+wk6jmnF8EX9MlQyBZJPoNdN3sb5PX9hmtOEwhUKYpzdCONsWZKvP1+yYPTpNvOCZtzyvsdW5z3c83tIttymdJ3YntZDLL/62cRGxzLR0pn7lx6hoSHRc5oV3Sd3RFvn65ksKfX09nOmt3cl5H0oEzaOpGFX1TURPbraiyXD1zDUrQ9W49t+df/aiVvZ7XaYwa69sE5FC+jlo9dzeMVJFp53plydUkrts26SB7vnH2bD/cXkK5Hni/ucu7hxx/cBO1+tVrq48NBKycV1F55zVmr7pMQkAl9++ONmsIiozYiIWUg5LiBpyp+VfhfpOiNFSn4naA/UEkJMSu2g6U1OpMhksvQS9Oojpzb7cHKjN2+fvsfAWJ9G3erScmBjSlQrmuE+UD+4/IgpLWehZ6iHq9c08peUu/rIZCmxadpOts3ax5KLsyhTq4S6wwGSu6nYNZpBdHg08047Uqyy6rpyvHsWiGPHeQTcfsGAWd3pat8hw73OpTchBKvGb2b/Es9Uz1hID/cuPmTfoiMEvQomIjiS8I8RRIZE8a1zgzK1SzD3pAN6hnrc8rmHx8y93PK8Z3BkAAAgAElEQVS5h2lOE7rYtafNsKZfzGwRQrDVeQ9bnfYAkK9EbmzXDadc3dJpjjskMAxnKzfuXniA08GJWLSrnuZjfosQghmd5nPl+A2WXpr9VXcbhULBnF5L8dnpx+RtNjTuXjdFx4+JjGFweVt09LRZdWP+N2f4/FdESCS9Co2gestKOOwc/9X9Fw9dwbHjPFyOTqZmqypKxbBlxm62uexl55u1P23pHh0Rg1Pn+dw4c5fFF2ZSpnZJpcb4HYj4a4jg7khZVyHpNVZ3OLJfRC1LeyRJuiE+tULODOREikwmS28KhYI75+9zYuNZfPdeIi4mntK1ijPn+FQMTQzVHd4Xnt5+jn2zmQC4nppGkQoF1RyRTJZ5REfE0K/EaHIXycniCy4Z5oT5bcB77BrNICYylvlnHClasZDKxoqNjmPBwBX47LpIA+va2K4f8dPlIr87IQTr7D3Y7XaY1kOaMmbFoK+Wh2RESUlJRIVGE/4x4tMlkpcPXrNukgdVmlZg5uFJaGlrAXD7/N9sc9nL9dN3MDEzovvkTnQa2/qLv4ErJ27g1NmNhLgEFApBy4FNGOrWO83vg/FxCYyuNZnQ92GsvbsQ42xGaTre9/yoJfK/cUxu4cLfFx8y54QDlRqVS9Hxr566xeQWLnSb1JGBs3v8cNutznvYMmM3q27M/+bfc0J8At3yDqVK0wpKz5B7fDOA4VUmMn7tsB+2ug55H8rU1rN5cus5hiYG5CqUg2X+czJ0XbhfSYgYxPvKYDgcDSMbdYcj+0XSmkj56Su6JEmd/nOxkiRpLhCb2gFlMpnsT6ChoUHFhmWx3zyaXW/WMHLpAP65+pT5/d2/+W2fOhWpUJAFPk5oaWti18iRh1ceqzskmSzTMDDSp9/M7vz91z+c33tJ3eF8lrtwTtzOzkDPUJeJls48vf1cZWPpGegyZftYBs3txfk9lxhbx4G3Ae9VNl5mIEkSg1x70X1yRzzXeLFoyGoUCoW6w/opTU1NjLMbka9EHsrULkmtNlXpYteOsauHcvXkLdwGrvj8OCrUL4Prqeks8XOhaOXCrLLdzF+Hv/zisnqLyrhfdcW8YA40NDU4sfEszl0WkJSUlKY4dXS1mbBxJGEfIlg5blOajvUjJmbG2G8excsHr1ltu/mbcczYP4G8xXMzo9N8Au6+SNHxqzWrSPN+jdg9/xCPrj/97nYxkTEcWHqMWm2qfjcpqq2jTQNrCy4evExUeLRS4xetWIhchXJw8dCV727z5sk7xtZ14OWDNzgfsmf08kE8uh7AsbVnlBrjdyBJ+qBVHBLuqDsUWQaiTGq87X8uzYEIkpf3yGQymUwJhiaGdBjVkiHzeuN38Aq75h1Sd0hfKVAqLwvPO2OY1ZCJls7c8b2v7pBkskyjef+GFC5fgHWTPIiPS1B3OJ/lLpKcTNHR02aipVOKT/JSQpIkuk5szyzPyQS++MDI6pO4fubPPumQJIn+Lt3pNc2KExvOMqm5Cyc3eRMaFKbu0FKs5cAm9JvZjTMevqyz9/jivjK1SzLbcwr5S+Zh3eRtJCV+mSQpWDof7pfnUr5eaYRCcP30HbY47k5zTMUqFab75I6c3nqev46obuZ5FcsKdLFty9HVXvju9//qfiPTLMw+NgVdA12mtprNh9cfU3T8oQv6kDWHMQsGrSQxIfGb2xxdfZqI4Ei6T+n0w2NZ9q5PfGwCvvu+jvNbJEnCon0NrnndJjoi5qv7H98IwKaOAxEhUbienk7NVlVo2NWCCg3KsNFhB+EfI5Qa57egXQ4S72a4L8Nk6vPTRIoQov9/LoOFELOEEIHpEZxMJpP9TjratKKBdW02Tt3OjbMZ7wQjd+GcLDznTPY8pkxu4cI1r1vqDkkmyxQ0NTUZ6taHdwGBHFp2XN3hfCFP0Vy4ec9AS0eLiU2ceHbvpUrHq96iMssvzyF77uTXkf2LPf/oEw9Jkujr1JXhC/vx6uEb3AaswDrXYMbWc2D3/EO8fPha3SEqrceUTrQb0Zw9C46wd+GRL+7T1NJk4JyevHzwmhMbzn61r3F2I+acmEr1FpXQ0JTYPns/Fw9/fxaE0jFN7UTh8gVYPGwNESGRaT7e9/Sf1Z2S1Yvi1t+dFw++/p2ZF8jBLM/JRIVFM7zKRDZN20nQK+USKkamWRizYjBPbj775hct8bHx7F1wmEqNy/20DlPpmsXJWzw3ZzzOKffAgDoda5AQl8DVkze/uP3G2TvYNnRER0+bxRdcPo8tSRKjlg0kKiyaDVN3KD1OZidplwdFMCjeqjsUWQbx3USKJEnLJEla+r1LegYpk8lkvwNJkhi/djh5S+RhdvfFKf7WKj3kyJedBT5O5C2em2lt5/6SD7oy2Z+gatOKVG9ZmW2z9hH2IVzd4Xwhb7HcuHk7oaGlyYQmTjz/W7XJlLzFcrPk4ixqt6vGyvGbmD/APc1LOTK7TmNbs+35SlZem0evaVbERcez1t6DAaXH0r/UGNZM2MId3/sZ+uckSRIjlvSnfpfarLbbwpltX7aCtWhfnbJ1SrJlxm5ior6uAqCtk7wcx8g0Czr6Oszru5zXj9N2UvrvMUMDw1g5flOajvWzcabvtUNHT5sZHed9c+lMsUqFmXfGkdK1S7B99n56FR6Bcxc3bvnc+2kysU6HGjSwrs22mXu/+vs8udGb4Heh9PjJbBRI/h016VmPWz5/E/jyg1KPrWydkpiYGeF38PLn287tvsiUlrMwL2jGEj8XCpT6shB94XIF6DCqJcfWnubh1SdKjZPpaX+qfyMv75F98qMZKVeBaz+4yGQymSyFDIz0cdxnR1xMPDOtF5IQn3GWAfzLNGdW5p91pGilQjh1dsN7p5+6Q5LJMoWh83sTExn7uVNJRpKveG7czjqioSEx0dKZwBdBKh3PwEif6Xts6T29C16bz7HH7cjPd/rNSZJEscqF6TPDmpXX5rHt+UpGLx9ErsLmHFh6jPENptOn6ChC3oeqO9Tv0tTUxH7LaCo1Ksv8/u5c+c8sBkmSGOzam+B3oexbePSb+5vmzIrt+hHEx8STEJeAs9UCYqPj0hRT8SpF6D6pI16bz+HvqbpTFPP8ZjjsHs/rx++Y32/5N2velKxWFOeD9mx+vAyr8W256X0Pu8YzGFLBliOrThET+fXymX+NXDoQfSN9Fgxa+TmhlpiQyK55hyhVs7jShWwte9VHCMHZ/5fo+h5NTU1qt62Gv+d1EuITOLjsOLO6L6Z0rRIsPOeMWd7s39yvz4wuZDU3Zvno9Zmi/k+aaZUCtBFyIkX2yXcTKUKIzT+6pGeQMplM9jspWDoftutH8Pdf/7DGbqu6w/km42xGzD01jbJ1SjKn55JvTtWWyWRfKlgmP60GNeHIqlPfnP6vbvlL5sXVazqx0XFMa+f6zZoIv5KGhga9HbtQz6oWm6fv5PHNAJWOl9mY5zej3YjmzDnuwN6gDUzYOJLAFx/w3pGxk9f/FlgtWDYfzlZuXxQoL2tRkrqdarJ7/iFCAr9dC6Z222q0HtKU+NgEAu48Z+mItWle/tXDoTOFyuVn0dDVRIZGpelYP1KxQVmGzu+D38Er7Jhz4Lvb5S6ck8GuvdjxchW260egpaPF0hFr6ZZvKO42G3j1z5uv9jE1N2HE4v7cv/SIQ8tOAOC9w4/3z4PoMaWT0h3BchfJSdk6JTntcV7pn6tFhxpEhUXj1NkNd5sNWLSvxpwTUzEyzfLdfQxNDBns2psH/o84tVn5pUSZlSTpgFZJSLir7lBkGYQyXXtySJLkJknSMUmSzv57SY/gZDKZ7HfVoEttOo9tzcHlxzm744K6w/kmQ2MDZh+bSpWmFVg4eBX+x66rOySZLMPr49QVPQNd1tpnzCRpobL5mbbblmf3XjK7x2KVLyWRJImxK4dgbGaMa+9lxMfGq3S8zMrQ2IBmfRtStFIhfHZn7EQKJJ9Ezz42lazmJkxtPfuLxMCAWd2Ji4nHw/n7M7OGLuhD3uK50TfSx2vLOY6u9kpTPP928Ql5r9olPpBc76xxj7psnr6Ly8dv/HBbXX1dWvRvxIqrrizxc6FWm6ocXXWKweXHfzOx2LhHXWq0qsxGhx3cvXCf7XP2U6RCQWq1qZqiGC17NeD53694fEO55GUVy/LoGeri73md1oMtmbbbFl193Z/u16RXPcpYlGT9JA+VJrAyDO1ykCAXnJUlU6ZrzzbgPlAYcAKeAfKieZlMJkujQa69KFe3FIsGr1J5AcjU0jPQxXGfHYUrFGB2j8UZ8lt2mSwjMTU3ofvkjlw6ci1DFpWG5Jaro5YNxN/zOqttt6h8POPsRthtGMGzey9ZP3m7ysfLzBpaW3D/0iPeP1ft0qtfIXtuU+accECSJCa3cOHj2xAgeeZT68GWeK45zatH366Bom+ox2SPMcRExpI9tykrbDZw3/9RmuIpUbUo3ew7cGqTj0oT/5IkMW7NMApXKMCcnkt48+SdUvuUqV2SyR42bH3qjp6h3jcTTZIkYbNyCJKGxPgG03n18A3dJ3dUejbKvxpY10ZbR4vTW88rtb2uvi6DXXszfGE/bFYNQVNLU6n9NDQ0GL1sIOEfI9jsuCtFMWZGknY5EOGQpLoOaLLMQ5lESnYhxHogQQhxTggxAGis4rhkMpnst6elrYXDrvHoG+nh1Hn+N4vXZQT6hno4H7RHR1eb6e1dVdoZQSb7HXQa25qcBXOw2m5Lhi0e2nZYMzrZtObA0mMcXnFS5eNVb16J9iNbsH+J5x/fFvlHGlhbAMnFPjODfMVz4+I5hdCgcKa0mkVcTHK9k96OXdDW1WLD1O8nzkpWL0bfGV35+DYEw6yGzOyyIM2toXtOs6JQ2fwsVvESHz0DXWbsm4AkwYxO879ZXPd7zPJmp5NNa/wOXvnmrBTz/GaUsSiJEKCppUHdzrVSHJ+RaRZqtqmK984LX7Wj/p52I5rTaWzrFCdtilUuTOuhzTjsfoKnt5+nONZMRS44K/sPZRIp/1ZCfCtJUmtJkioD2VQYk0wmk/0xsuc2xWHXeN48eY/bgBUZdrpozoI5cNxnx/tngbh0W6T0BzOZ7E+ko6fDgNk9eHLzGVscd2fYv+shbr2p1aYq7jYbvigaqiqDXHuRv1Re5vdbLidkvyN3kZyUqFYUn0ySSIHkAqsOu8bz9NZzPGbuA5KLylrbtcd37yX+vvTPd/ftNqkDZSxKEhcTT2hgGHN6LklT8lFHVxu7jSMJfhfKalvVlnTMXSQnk7eP5dndlywcvCpFf+cdbVphaGKAx8y9X90X9iGcuxfuo6uvQ1KiguepnLFq2as+Ie/DuOZ1O1X7p0S/mV3JYpqF5aPXZ9jXu19Cqzigi5DrpMhQLpHiIkmSCWAL2AHrgHEqjUomk8n+IBXql2HQ3F5c2O/P3u90OsgIytUtzZgVg7nudZs1EzJm/QeZLKNo1K0Ozfs1Yvvs/awavzlDdrXQ1NRkynYbCpXLj0vXhQTcVe10dT0DXey3jCbkfRhLR65T6ViZWUNrCx5de5rm1sDpqWarKjTr15A9bocJuJM8K8HKtg2mOU1YZ+/x3ZNrTS1NJm0ZjYYkkbNQDq6fvsPm6WlbIlKyWlGsJ7TnxEZvrpz4cQ2TtKrevBL9Xbrjs9OPfYuUf//OktWQzmPb4Hfg8lezUvYuOEJ8TAKzPKcAcOlI6joR1WhVGaNsWTjtofpCsMbZjBg4uwd3fO/jnUHrvv0KkqQN2qXlgrMyQLlEir8QIkwIcVcI0UgIUVUIcVjlkclkMtkfxGp8G+p1rsm6SR48uJy2deKq1HJgEzqMbsn+JZ5yJx+Z7AckSWL8umF0HNOK/Us8k1uaZsCZXPpZ9Jl5eBJ6hnpMaztX5a13S1YrSu/pXfDZ6cfZ7cq1Z/3TNLCuDcD5PZfUHEnKDJ3fhyxZDVg0dDUKhQL9LPr0drTmju99/jpy9bv75S6Sk5FLB/Dqn7eUrF6MHXMOcG7PX2ma2dDbsQsFy+Rj0ZDVRIWptghqt0kdqNupJmvtPbjprfwJ9rdmpYR9COfg8uM07GZBxYZlKVWjGJeOfv9n9yPaOto0tLbg4sErKu/QBdBiYGNKVi/K6glb02U8tdEuB4n3ECLjvZ7L0pcyiRQ/SZJOSZI0UJIkU5VHJJPJZH8gSZKwXT8C/Sx6HFl1St3h/NCwBX2pYlmeJcPXcNfvgbrDkckyLA0NDYYv6kcfR2tObfLBpdsi4uMSfr5jOjPPb8bMw/aEBobh2HHe5zoXqtJtUgfK1C7B0pHrCHz5QaVjZUbmBXJQpnaJTNG957+MsxsxdEFf7l96xNFVyV14Wg5sTL4SuVk/edsPE4lN+zSgnlUtHt94SoHSeXHpupCBZcay2XEXz/9O+dIWHV1t7DaM4OObYFaNV+0SH0mSmLBxJPlK5Mal60ICXyhXKDhLVsPkWikHLvPk1jMA9i48Slx0PD0drACo2boqDy4/TnWC07J3feJi4vHdp/qknIaGBqOWDST4bQjbvrFk6XchaZcHEQVJcjv3P91PEylCiBKAA1AWuCZJ0lFJknqpPDKZTCb7wxgaG2DRoTp+By5nyJOtf2lqaTJ15zjMC+bAqbOb0h8aZbI/kSRJ9HbswvCF/biw359p7eamqDBleilRtSj2W8dw/9Ij3AasUOlSJE0tTey3jCYpMYn5/ZZnyGVP6tbA2oKnt57z8mHm6pRm2as+VSzLs37KNj68/oiWthYD5/Tkxf3XnNzo/d39/m2TndXchKREBSMW9yd7HlO2uexjULnxDC4/Ho+Ze79os/wzpWoU/7zEx98zdctjlGVgpM+M/RNIiE/EucsCEuKVew/vaNMKA2N9PGbuJfxjBIeWH6dBVwsKls4HQK22yW2P/T1T14WodK0S5CmWi9MeynXvSatSNYrTYkBj9i325Na5e+kyZrrTLp98LS/v+eMpMyMFIcRlIcR4oAYQDKg2tSuTyWR/qIbWdYgKi+baqVvqDuWHjLMZ4XzInvjYeKZ3mJchTwxlsoyk09jW2K4fwc0zd5jUbGaGLLZar1NNBs3thc+ui2yZsVulY+Upmovhi/pz0/se+xd7qnSszKh+l9pIkoTPrsxTdBb+1743MT4Rd5uNANTpUIMyFiXZPGP3D98rjLMbMWHjSF4/esuVEzeo3bY649cNo6t9B/SN9NnsuIv+pWwYWtmOHXMO8Pbp+5/G03uGNYXLF2Dh4FWEf4z4ZY/zW/KXzMuEjSN5eOUJ6ydtU2ofI9MsdLJpzYX9/qyd5EFsVBy9HDp/vr9oxULkyJ891ct7JEnCsmd9bnnfS7fZXwPn9MAkhzF2jWZgU2cq3jv9SExITJex04VmYZAMEPH+iMQX6XdRZLz3jD+d9LP1h5IkGQMdgW5AUeAAsFsIodrU7i9UrVo1cfVq6l6AZDKZLD0lJiRinXswNVpWZtLWMeoO56f8j11nWtu51LOqhcPOcSlumyiT/Wl89/szu/siCpTOx9yTDpjmzKrukL4ghGDhoJWc2OjNhI0jada3oUrHcuw4j6snbuJ+1ZXC5QqobKzMaHzD6YR/iGDd3UXqDiXFds49wPop23E6MBGL9tW56/eAcfWm0c+5Gz3/kyj4lm0u+9jpeoDYqC+XmBma6KNvpE9cdDwRwZFoaEjMPzuDCvXL/PB4j28GMKrGZOpZ1WLq9rFpfmw/4z5mAweXH8fp4EQs2lX/6fYRIZH0KjSC2Og46lvVYuqOL3t6LB2xFq+t59gXtAEdPZ0Ux/M24D39Soyh9WBLxqwYnOL9UyM6IoZTm3w4sOwYbx6/wyxvNtoOb07rIZaYmBmnSwyqpAjuA/HpXMNIIxdSjnPy56xfSJKka0KIaqneX4lESgBwkOTkyV+pHUid5ESKTCbLTBYOXoXPLj/2vF+Hrr6uusP5qd3zD7HW3oO+Tl3pNc1K3eHIZBne1VO3cOo0n+x5s+F6aho5C+ZQd0hfSIhPYEqr2dz1vc+cEw5UalROZWOFBIYxpIIt2XJlZZn/HHR0tVU2VmZzeMVJlo1ax5rbCzJdkikxIZER1eyJDIli3b1FyUtfOs3jxpm7bHq0DFNzkx/uL4Qg/GME754F8S4gkPfPAnkXEMi758n/f/f0PQnxiRgY6zP72FTKWpT84fG2uexj0/SdOOwcRwNri1/5UL8SH5fA2DpTeRcQyKob8zEv8PO/77H1HLjn9xDHvXbU7VTzi/v8j13Hoc0cZh+bQvUWlVMVk/uYDRz+P/buOiyq9Avg+PdlGFJQbGxFBEVSOkSwE3Xt7lpzbXet3bXXdV1dY13X7u5uRezu7sBuqfv7A/W3CCg1zAy+n+eZB7lz594zUjPnnvecSRuZcmwMhR0LpugYKRETE8OhDcdY/ud6jm45iZGJmuBGAdTuViVd40hrStRNiEzZcqsUnS/iOLydj8i+CWFYON3Om9GlRyJFKHo+EFwmUiRJ0idHt56kb4VfGLS0FwGfvaDSRYqiMLrFRLbO2c2oLYNwK+uo7ZAkSeedCb3Aj1WHY2ZhysjNAylgn1fbIcXx6tlruvv/xKM7Txi/71cKlsivsXOFrT3CwBojqdc7hLajZBu+j54+eEaDvO1o2L82LX5poO1wku1s2EW6+/1ESOdKfD++FTfP36Gt4w/4hngwaEnPVF1ZVxSFH6uN4PCH8cb1eofQbGj9RBNx0VHRdPP7kXtXHzLt1Fiy5tbs/Iw7l+/RqVRfCjkWYOyOIRiqDRPd98XjlzQp3ImI95H41nBn0JJece6PeBfBd9lbUb55Gbr+1SZF8bx48pIWtl0o6laEUZsHaqWq4cbZW6z4cwNb5+zi/dsIXIIcqNGpEl5V3VJUafMtUaIuozyqgsg8EmFaW9vhZBipTaQkpdmsXidRJEmS9I1zGQey5LBkl55MbBBC0GNqe3IXzsnUnrOIjpYjASXpaxx87fhtxxAiI6L4sepw3r3R7KSc5MqUxZxh6wZgZKLmx6ojeHL/qcbO5V2tFJVbl2Xp2NWcCb2gsfPoG6tcWXAq48DOxaGpGgWsLSW8i1G9YwVWTdzI+YOXKGCfl7ajmrB3+QHmD1+eqmMLIWjy03coCjj4F2fR6FV8796XS0evJri/ylBFn1ldePf6HePaT9X4/2feotZ0n9qes6EXmDVo0Rf3XTZuLe9ev6dSq2D2LDvAtVM34txvZGKEW3knwtYeTnHcllktaDakPse2nfriKGpNKlgiP92ntGP+rSm0GdmEO5fv83PdsdTN1YZRzSdwYP3RjNVLJS2pioCwQInQ7f5535okNZuVJEmS0o/KUEXAd94cWHtUb5q4GpkY0Xp4I66evMHWOekzHUCS9F1Rl8L8tKgH9689ZO7PS7QdTjy5CubglzX9eR7+gkEhozSa7Gk/thk58mdndIuJevN7Lz2UqefLnUv3uHL8urZDSZFWwxuR1ToL49pPJSoyiu96VKNs4wBmDVqU6kk6xb2Lkd8+L0pMDL+u7c+LJ6/o4j2AOT8vSfANeQH7vLQa1oiwNUfYPGtnqs6dFEEN/KjathwLR63k0IfKmc+9ePKSlRM2ULquN62GNcTMwpQ5CYwO9q5WivBbj7l26maK46nWoTwFiudlaq/ZWp0MaJnVgvp9Qphz5S9GbvqJ0nW8CVtzhJ+qjaCedVvGtZvCse2n5EWZ/xDCANTOEJnw95GkHTKRIkmSpIMC6/vy7s17wtboTV9vAuv5Yu9ZlJkDF+rc1XVJ0lXOgQ5UbBHEkrFruHryxtcfkM7s3G3oP78bFw9fZWST8Rp7c2NuaUbvGd9z9/J9/uk7VyPn0Ef+tb0wUBmwc5F+VCh+ztzSjM4TWnP1xA2W/7Eudszx1PbYuBRieOPxyRpn/DkhBJVaBnFm3wWsi+Ri2qmxBNbzYfaQxXT1/ZHrZ27Fe0ytblVwLF2cSd1n8PBmeGqeWpJ0/KMFhUrmZ1SzCTy6+yTe/cvHrePNy7c0/qkOllktqNW1CnuWhnHtdNyEiWcVN4BUVZMYqg3p8HsL7l6+z6oJG1J8nLSiMlRRqrwzPad3YvH9afyyuh+elV3ZvmAvfcr9TKP8Hfir67+cO3BJ26HqBrUzRF1EiXmt7UikD76aSBFCFBNCbBNCnP7wuZMQ4ifNhyZJkvTtKulvT1ZrK71Z3gOxL2rbjWnGoztP5DhTSUqGdmOaYmFlzrj2U3XyKqxvDQ86/dGSfSsP8XevORo7j3MZB2p1rcLqSZs4uvWkxs6jTzJnt8StnCO79HR5D4B/LS98QzyYPWQx9649wMTMmCHLe6M2MmRwrdG8fvEmxccu17Q0BioDNs3YgWVWC/rP7cagJT15eCOcTqX6sHjMqjg/UwYGBvT+93tiomP4rfVkYmJi0uIpJsrY1JifFv3A+zcRjGgcNxH54slLVvy5ntJ1fT41E67doypmFqbM/awqJZu1FXYeNoStTd3FFY+KLnhWcWXur0t5+vB5qo6VltRGaryrlaLfnK4seTCdgYt/wMHPjnXTttLVZ0C6VBDpOmHkCsRA5ClthyJ9kJSKlGlAfyASQFGUk8SOQpYkSZI0RKVSUbqONwc3HE/Vi8z05hhQHN8QDxaNWsmzcN15kSZJuswymwUdfm/B+QOXWDtli7bDSVDNLpWp1bUKy8evY6UGr2a3Gt6IfMWs+a31JF4/l1deAQLr+XH/ejgXD1/Rdigp1nlCawxUBvzZaRqKopCrYA4GLu7J7Yv3GNNiYooTGllzW+FV1Y0ts3d+Ws4T8J03006Pw7OKK9P6zo2X/LMukosOY5tzbNsp1kzenOrn9jUFi+ej66S2nNx1lrk//z9B8rEapcl/xkFbZrWgZpfK7F6yP15Vinc1dy4cvMzTB89SFU+Hsc15/yaCWQMXpuo4mmJiZkzpOj4MWtKLJQ/+wSmwBBM6/8Ody/e0HZp2qZ1jP8rlPTojKYkUM0VRDn62TXYCkn8aN8kAACAASURBVCRJ0rCgBn5Evo8kdNUhbYeSLK1HNObdm/dxXjBKkvRlZRsH4FbeiX8HzOfRncfaDidB7cc2wzfEg8k9ZhC6+uu/lxRF4e6V+1xIRgLAxMyYPrO68PjOEyb1mJmKaDMOv5oeGKpV7FwUqu1QUixHvmy0GtaIw5tOfHoezmUcaP9bM/atPMS8X5el+NiVWgbz9MFzDm08/mmbVc7MDF7Wm8B6PmyZvZPIiLg9Qaq0LYd7RWf+6TuX25c0/wa9fLNAyjcPZN6vyzi2/VRsNcqE9QTU8Y43Bvi7HtUwszBl3q9x/4Z6Vy+FoigcWJ+6N9L57fIS8n0lNkzfxpUT11N1LE0ztzSj7+wuqI0MGd5ofLyv47dEGGQGVRGUSNlwVlckJZHySAhhAygAQog6wDeeEpQkSdK84t7FyFkgO7sW69eL5wL2eanSpixrp25J1fp3SfqWCCHoNqktUZFRTOo+Q9vhJEilUtFvbldsSxVhRKPx8RIkEe8iOL3vPIvHrGJI7dHUs25Lc9sudPbsl6w+B8W9bKnftyabZ+5MUsImo7OwyoR7RRd2LQnV+FIUTareqQJFXQszvf+8T81Oa3WtQvlmgcwesjjFX2vPKq5Y5crMphnb42wXQlC+aSAvn77m8KYT8e7r+U9HDI0MGdPyr3RZUtdlQmvy2eVhZJM/mfHjAt68eEvTgXXi7WeZzYKQzpXYvSRurxQb50LkyJeNsLWpn7rTZFAdMlllYnKPmTq/ZCxn/uz0mNaRi4evfHUCUoZn5AoRx3T+a/atSEoi5XtgKmAvhLgDdAc6aDQqSZIkCSEEgXV9OLL5BC+fvtJ2OMnSbEg9jEzUTB8wX9uhSJLeyGOTm8Y/1WHPsgNaG1H6NabmJvyyuh9ZcloysPoItszZxZSes+jqO4CQzM3oETCQaX3ncu30LTwqudD1rzZkzm7BnKGLk3WepoPrUsSpIH+0n8rzRy809Gz0R2A9X8JvPeZcmP423lSpVLQd3ZQHN8JZNXEj8CGBOLkttqWKMKrpBG6ev5Ps4xqqDSnfNJCwtUfjLXtxK++ERdZM7Fi4N97jsufNxvd/tuJs6AWWjl2bsieVDKaZTBm4qAevnr1m7dQtBHznFa8a5aM6P1THNJMJU3vN/vSmWQiBV1U3jmw+QcS7iFTFYmGVieZD63Ni5xn2rvh84YHuCajtRdW25Vg8ZjVHt327PUKE2hmUpxCd8ulNUtpJSiLlhqIo5YAcgL2iKP6KouheW3lJkqQMKLC+H1GR0ezTgxc6/2WVKwv1eoewd/kBTu87r+1wJElv1O1VnUIO+ZnQ+R/evnqr7XASZJUrC7+uG0Dk+yhGN5/I6kmbUBmqqN29GkNX9GHx/X+YdXECfWZ2pnrHitTtFcKhjcc5E3ohyedQG6npM6szL5+8YvyHvhrfMp8a7qiN1Xo7vecjt7KOeFRyYf6wZbx48hKIbcg6ZHlvjEzUDKk1OkW9cSq0DCI6Kpqtc/fE2a42UlO6jg/7Vx1OcKx22cYB+Nf2YtbgRbx4/DJlTyoZCjsWpMtfbbHImommg+omup9lNgtaDmvIkc0n2DJ716ft3tXdeff6PSd2nU11LFXblaNQyfz83Xt2qhMz6aH9783JZ5eHUc0mfLvJVbVr7MfI41/eT0oXSUmkXBNC/A14A/p1SVSSJEnPFStVBOsiudipZ8t7AL77oRpZra2Y1mfON/8mSJKSSm2kpvvU9oTfeszMgbpbxl6weD6mnf6dCWHDWfV8FuN2/0LbUU3wDfHAKmfmOPvW+L4iWXJYMntI8p6PjXMhmg6ux56lYUnqD6IoChcOXWblhA0ZbgS7uaUZnlVc2b00TCcnOyVHm5FNeP38DQtHrPi0LWf+7Axc0pO7Vx4wstmEZC9hKlg8HyV8irFpxvZ4f2+CGvrx7s179q+OX+UlhKDJwDpEvo9k+4L4VSuaUKllEEvu/5NoNcpHNTpVxMHPjik/zOTJ/acAuAQ5YGxqRFgaVKypDFV0GNuc+9cesnz8+lQfT9NMzU0YML8bLx+/ZGybyd/m6wrDoiDMUWTDWZ2QlESKPbCV2CU+14QQE4UQ/poNS5IkSYIPy3vq+XJs2ym9m4Jjam5Ci5/rc3b/RfYsC9N2OJKkNxx87ajWvjwrJ6zn4hHdndSSPU9W7D1tURupv7ifqbkJ9fvW5OjWU5zacy5Z56jfJwR7L1smfD+NR3efxLtfURQuH7vGP/3m0qxoZzp79eevbv8ytvWkDPdGK7CuL0/uPeX0Xv2u8iviVJDyzQNZOWED968//LTdqXQJOo5rQdiaI8wenLylYAAVWwZz4+xtzh+8HGe7Y0BxsufNmuDyHohN2Nm4FErXEbsqQ9VX9zEwMKDnPx159yaCiV3/BWKrd9zKOxG29kiafH+XKu+Md/VSzB+27FOyRpcVdSlMm5FN2L/6cLpMXNI1QqhA7QQRsuGsLvhqIkVRlDeKoixWFKU24ApYAru+8jBJkiQpjZSp70tMdAx7l+vX8h6ACi3KUKhkfqb3n/dNd9uXpORqPaIxWXJmZly7qURH6XcFAkC1DhWwypU52VUpKkMVfWZ+T8S7SMa1m4KiKCiKwrVTN5jx0wJa2nejY6k+LP19Lfnt8tBzeieaDa7HzkWhLB6zWkPPRju8q7lhbGrELj2e3vNRi58bIAwEMz8bwVujU0UqtQpm3rBlrJ2avFHggfV8MDEzZtO/cZvOGhgYUKa+H4c3Hv+0nOhzFZqX4dKRq1w7pVvdC/Lb5aXpoLrsWRrGnuUHgNgxyA9vPuL66bTpk9H+t+ZEvo9kxo8L0uR4mlaza2U8KrkwtdeseCOivwlqF4g6jxLzRtuRfPOSUpGCECJQCDEJOAKYAPU0GpUkSZL0SRGnguS3y8Ouxfq3Nl6lUtF2VFPuXnnA2inJe1EsSd+yTFnM6fRHSy4fu8bKCRu0HU6qmZgZ06BfLY7vOMOJnWeS9dj8dnlpPaIxB9cfY0ST8bQp2YN2zr1YOHIFuQpmp8fU9iy+N43h63+kUssgmgyqQ2A9H/4dMI9DmzJOLwHTTKZ4VSvFnmVhep9cy5EvG7W7V2PbvD1cOnr10/aPzWe9qrrxZ6dp7F66P8nHNLc0I6CuNzsW7ou3tCuoYWy/sb3LDiT42OBG/qgMVWyepXvXiuv2qk5R18JM+H4aL5++wquqGwD71xxJk+Pns7WmZpcqbJq5M87XQlcZGBjQe8b3mFmaMbzRH7x/m7GW8X2NULsA0RB1WtuhfPO+mkgRQlwndlLPHsBRUZR6iqKkfNi7JEmSlCwfl/ec3HVWL0pvP+dRyQXXso7M/WUpr54lv4mgJH2rStf1wbOKKzMHLeThzXBth5NqVduVI6u1FbOGLEr2soSQzpVwCS7JzoWhWOXKQte/2rDw7jRGbR5ElbblsMxm8WlfIQQ9p3eiUMkCDG/4B3ev3E/rp6I1Zer58iz8RbKTUbqoQd8QLLNZ8PdnfbQM1Yb8tOgHHPzsGNF4PEe3nkzyMSu1DObNy7fxlpPauhUhXzHrRJf3ZMmRGe9qbmybt1vnklSGakN6/tOR549eMrXnbLJZW1HM3SZNxiB/1Pin78ic3YKJXabrxYhtq1xZ6DPze66fvsW0PnO1HU76MnKJ/RiRcZLE+iopFSlOiqLUUhRlgaIo8hWwJEmSFpSp70tMjMLupfrXa0QIQbvRTXn55BULR674+gMkSQJif3a6TGwDCkzoPF3ve34YmxrTsH8tTu0+x7HtybuaamBgwLC1/Vny4B9+2z6E6h0rxmtq+1+m5iYMWd4bIWBwrdE6OwEpuTyruGJmacrCUSv14g3vl5hnNqfJwDoc336aQxvjvik0MTPml9X9KFA8H4Nrjeb8waSNfXYMKE6eornZNGNHnO1CCIIa+HNi51ke3Xmc4GMrNA/i6YPnHNbBKqairoWp1zuETTN3cGTLCbyrleL8gcs8fZg2vdMyZTGnzagmnN1/kQ3/bEuTY2qaRyVXaneryqq/NhK2Nm2qc/SBMLACVSHZcFYHJJpIEUL0+fDPYUKIPz+/pVN8kiRJElCwRH4Klcyvt6Mvi7oWpmyTAJaPX58hrqxLUnrJXSgnzYbWJ2ztETbN3KntcFKtSpuy5MiXjVmDk1+VYmRiRObslkne37pILn5c2IObZ28zplXGaD5rbGpMu9FNObbtVIZY8lWtQ3ny2ORiWt858aYRZcpizvANP2KVKws/Vh3BjXO3v3o8IQQVWwRxYueZeJVIQQ39UBSFXYsTXi7kWcWVLDks2ZSOTWeTo+mgOuS3y8O4dlNxLeuIoigcXH80zY5foXkZnMs48E+/eXpT/dp6ZGOKOBfkt1Z/8fiefsScJtQuEHkiQ/xO02dfqkj52Fb9MLG9UT6/SZIkSemoTD0/zuy7wMNbj7QdSoq0/KUBANMHzNdyJJKkX2p3r4JzGQf+6jI9SW8mdZmRiREN+9fibOgFjmxJ+pKNlCpV3pk2I5uwZ2kYC0eu1Pj50kOVtuXwrlaKf/rN48bZW9oOJ1XURmpaDW/M9dO32DJ7d7z7s1lbMXLTT6gMDehf8ddPifhDm47zc93fEvx7WL5ZIAYGgs2fJR7z2+XF1q1wost7DNWGBDcKIGz1YV48TrgprTYZmRjxwz8deXjzEbsWh5I9b9Y0rcT42J/m/Zv3TOk5K82Oq0lGxmoGzO/Ou9fvGVxz1DezfFgYuUDMI4jW778H+i7RRIqiKGs+/PONoiiz/nsDZJtgSZKkdBZY3xeA3UuS3nxPl+QskIP6fULYPn9vhmoAKUmaplKp6De3Kybmxvxa/3e9b65YsVUwOQtkT1FVSkrU6VmdoIZ+zPhpAQc36H85vBCCH6Z1wNzSlBFN/tT7iWil63hj71mUmQMXxGsSC5DHJjcjNv7Em5dv6V3uZ35tMI4BlYexZ9kBpvWZE2//HPmyUaqiC5tn7YxX5RLUwJ8Lh65w5/K9BGMp3zyQyIgodizUzerPkn721OhUkVUTN2JbyoYjm08Q8T7tvv757fLSsH9tdizYpzd/pwsWz8eABd25cvw6fSv8wsunr7QdkuapP/RJidSPr1FGlZQeKf2TuE2SJEnSoHy21ti6FWbXYv0dfdlwQG3y2+dlfIe/M0zPAklKD9nzZKXPrM5cP32LyT3042pxYoyM1TT+8TvOH7iULomN2MRDR4o4F2R4oz+4fSnhN9H6xCpXFnpM68CV49eZPXixtsNJFSEE7cY04/Hdpyz/Y12C+xRxKsh33aty9/J9di0OpW7P6jToW5Odi0I5ve98vP0rtQwi/PZjjm49FWf7xwsSOxYknCgp6lKYIs4F2ayjy3sAWo9oRI782bh89CpvX73j5K6zaXr8+v1qkq+YNX92mpZgYksX+dbwYPCy3lw7eYO+5X9OdMx1hmFYDIQZikykaNWXeqRUFkJMAPJ+1h9lJhCVbhFKkiRJnwTW8+P8wcvcu/ZA26GkiJGxmh+mdeDBjXBmDlyk7XAkSa94VHKlXq8arPt7C7v0tDLtowotypC7UA5mD1mcLlUpJmbGDFneG5WhiiG1RvPmpf4ncn1reFC5dVkWjV7FqT3nvv4AHeYYUBzfEA8WjVrJs/C4DVQf3XnM4FqjmT10CdY2uTBQGXD5+HXq9q5BtjxWTPlhZrzGu97V3bHMZsHGf7fH2Z4zf3YcSxdnx8K9iX7fVWwexMXDV7h+RjeXTZlmMqX71PaE336MytCAsDVpN70HYv9Od5/SnvvXHjLvl6VpemxN8q5WisHLe3P9zG36lPtZJ5dnpRUhDEHtCBH6X2Gnz75UkXKX2P4o74jbG2U1UFHzoUmSJEmfC6znA5Boszx9UNLPnuodK7Liz/WcO5C0SQySJMVqOawh9l62/N52Mveu6mdCFWL7UTT+qQ4XD19Jt4kbuQvl5MeFPbh1/g6jW0zU+6k3AB3HNce6SE5GNZvA6xf6vfK+9YjGvHvznnm/LAMgJiaGdX9vobVDD45sPkG70U2ZcW48vaZ34ti2U/zR4W9aDmvIhUNX2DZvT5xjGRmrKds4gNCVB3n+6EWc+4Ia+HPz3B2unryRYBxBjfxRGarYosNVKR4VXSjfPJCYaIXdy8LS/HvZuYwDFVsEsWTsGq6dSvj/SRd5VXFj6Ire3Dx3h97lhsb72mcoaheIOo+ivNN2JN+sL/VIOfGhH4ojMPc//VFWAfpR5yVJkpTB5C6UkxI+xVjy22q9Wb+ckNYjGpEtjxXj2k3R+/X9kpSeDNWG/LigO0IIhjUcp9c/P+WaliaPTa50q0oBcCvrSLsxzdi34iArxq9Pl3NqkmkmU/rO7kL4rUdM6j5D2+GkSgH7vFRuXZY1UzZzaOMx+pT7mT86/I2tWxH+PjmWur1qoDJUUb5ZIO1GN2XP0jAyZTHHzsOG6f3n8fZ13DeUFVsGERUZzba5cZMspet4ozJUsX1+wk1nrXJmxquqG1vn7iY6KjrBfXRBh7HNMbM05en9ZxzddurrD0imdmOakimLGX90+Fuvko4elVz5eVVfbl+4S++yQ+NVOGUUQu0CREFk8kbJS2knKT1SNgOm//ncFNiqmXAkSZKkr+k9szPZ8lgxoPIwpg+Yr9Mv9BJjbmlGl7/acO3UTRaPWa3tcCRJr+QulJOe0ztx4dAV/h2wQNvhpNjHqpTLx64RuupQup23dveqOJdxYNVfGzPE+NASPnY07F+bzTN3smf5AW2HkyrNhtRFbWzIgCrDuXT0Kj2mtmfMtsHkLWodZ79a3aqQKYs5+1cdpsPvLXh89ylLPvtbYuNcCMeA4sz5eQkPboR/2p45uyWlKjixc9G+RBMEFZqX4cn9ZxzefCLtn2QascxqQecJrQD4VwPT8CyzWdD+t+ac3X+R9dO2pfnxNcm9gjO/rO7H3cv36R08lKcPnmk7pLQnG85qXVISKSaKonxqf/zh32aaC0mSJEn6kny21kwIG06VNmVZOHIFvYKHEH77sbbDSjbfGh4E1vNh3i9LuXn+jrbDkSS9ElDbi+odK7L09zUcWJc+S2M0oWzjAPLaWjN7yOJ0u+othKBc00DuXX3A+YOX0+WcmtZkUB2KudvwR/upPL73VNvhpFjW3FZ8P74V5ZsHMv3MOKq0LYcQIt5+hmpDvKq5sX/NYYp72VKmvi+Lx6yKNw6517+diImOYUST8XEuOgQ18OfhzUec3X8xwTg8q7iSObuFTjedBSjbuDQ58mfj0pGrGhmNXq5paVyCS/JPv7k8ua9f31du5Zz4ZU0/7l19QK/gIXoX/9cIVTZQ5UeJkIkUbUlKIuW1EMLt4ydCiFKA/nfokiRJ0mPGpsb0+LsD/eZ05fKxa3Rw7a2XYz2/H98KE3Nj/mg/Va9KhyVJF3QY24wizgUZ3eIvvUymAqgMVTQZWIerJ2+wNx2rKfxreaI2MmSnjo65TS5DtSH95nTh/Zv3jG09Sa8rbSq1CqbPjM5kz5vti/v51vDgxeOXnAm9QJuRTYiJUeJVZuSxyU23yW05s+8Cc35e8v/HhnhgZKJOdHmP2khNcKMA9q86pNMTYIQQdJ7QGoDRzSZq5PjdJrUl4l0kk3/Qv2lhrsGODFs/gIc3HtEreKheJxkTpHaFyON6/fOuz5KSSOkOLBFC7BFC7AUWAZ01G5YkSZKUFGUbBzDp8Ciy5bHix6rDmd5/nl4t9bHKlYX2Y5tzas85vSsdliRtMzIx4qeFPYh4FxHvirs+CWroR377vMwZuoTo6PR5DpmymONZxZWdi0PT7Zyalt8uL+3GNOPQxuOsnrRJ2+FonHtFF9TGakJXHiRXwRzU7VmdbfP2xGtiHtwogPLNA5k/bDkndp4BwMzCFJ8a7uxZuj/Rn5sKzcsQGRHFzoWhGn8uqeFbw4Os1lZcPHKFY9vTvldKvmJ5aDSgNjsX7uPQRv27YOMc6MDwDT8SfusRfcv/rLe/JxMi1C4Q8xBi9H+kuz76aiJFUZRDgD3QEegAFFcURX9rSCVJkjKY/HZ5mRA2nKpty7Fw1Ep6Bg2OV96syyo0L4NrWUem9Z3Dozv6eVVdkrQlv11euk5qy6nd55irR6NK/0ulUtFscF2un7nF7iVh6XbeoAb+PLn3lFO79Xt08H9V71gBj0ouTOszJ8MvmTSzMMWtnCP7Vh1CURQa9KtJ1txZmNxjRrwr9F0mtCZP0dyMaDL+0ySXoAb+PAt/kWijVhuXQhRxKsjmWTs0/lxSq0HfmgCMbTNZIw2o6/UJIb99Xv78/h/evdG/mSOOAcXpOqktN87eTnQ5l14y+tAnRY5B1oqvJlKEEGZAX6CboiingUJCiGoaj0ySJElKMmNTY7pPbU//ed24euIGHd36cGD9UW2HlSRCCLpPaUd0ZDQTOk+XJaqSlEzlmwZSvnkg835dxoldZ7QdToqUrutDIYf8zBm6ON0qRLyqlcLE3JgdCxJe3qGPhBD0nN4JYzNjRjb9k4j3+jvVKSl8Qzy5f+0h10/fxDSTKS2HNeJc2CV2fLZkyzSTKT8u6M7z8BeMbTMZRVHwqOyKeWazRL/+QggqNC/DhUNXuHH2Vno8nRSr0DwQQyNDHlwPZ9nva9P8+EbGarpPacf9aw+Z+58lUvrEt4Y7hmoVYWsOazuUtGNoB5igyIazWpGUpT0zgAjA58Pnd4BfNRaRJEmSlGLBDf2ZdHgU2fNlZWD1kVw7fVPbISVJHpvcNB9an9BVh9izLP2uSEtSRtFlQmuy583KotGrtB1KihgYGNBsSD1uXbjLjgXp07fExMwY3xAP9iwL0+sx0p/LZm3FD9M6cOnIVf7pO1fb4WiUT/VSCCHYtzJ26lOF5oEUdS3MP/3m8v5t3MoJW7citB3VlP2rD7Pqr40YGasJqO3FvhUH4+37UXDjAFSGKjbP2qXx55Ia5pnNCWroh8rQgDm/LI0zpSitOJUuQaVWwSwZu4b71x+m+fE1zTyzOU5lHNifgRIpQqhBXVJO7tGSpCRSbBRFGQ1EAiiK8gaI3z5bkiRJ0gn5iuVh9JZBGKgM2Dpbt1/8/Vft7lWxdSvMxC7Tefn01dcfIEnSJ6aZTCnbpDRHNp/gWfhzbYeTIn61PCniXJA5Py9Jtz4GQQ38efn0NUc2n0yX86UXv5qe1OxSmRV/rmffyoPaDkdjrHJlobhPMUJXxT5HAwMDOo5rQfitxywdG78yo1a3KnhWceXv3nO4cuI6QQ39efPyLQfXJ7w0wipnZjyruLJ17m6d761RpXVZoqNiiImOYXKPGRo5R9PBdQFYM3mzRo6vaT7V3Ll14S63L97Vdihpx8gVIs+iKPq35ErfJSWREiGEMAUUACGEDSC/UpIkSTosc3ZLPCq5sH3BXr1ppKgyVPHDtI48f/SSv3vP0XY4kqR3ghv5ExMdw67F+7UdSooYGBjQfGh97l6+z5Y5u9PlnKUqOGFhZc6OhRlnec9HbUc3xbZUEX5rNUkvKwiSyi/Eg0tHr/HwZmwVhlPpEgR858XCkSt4dPdJnH2FEPSe8T0WVuYMa/gHdp42WOXKzPYvLO+q0LwMT+495cgW3U62OfjZk98uD9mss7Bv5SHC1qZ9S8uc+bPjV9ODDdO3JVrFo8u8q5cCYP+ajNPuU6idgUiI1M9lnfosKYmUwcBGIL8QYh6wDeij0agkSZKkVCvbOIBHd57oVSPFoq6FqduzOhv/3c7xHae1HY4k6ZXCJQtQ2LHAF98U6jqf6u7YlirCvF+WEBUZpfHzqY3UBHznTeiqQ3rZRPNLjIzVDFz0AzExMQxrMC5DLV/6L9+angCErv7/ko22o5oSHRXNjJ8WxNs/S47M9J3TldsX7jK15xwC6/lyYO2ReNN+PvKq6oZlNgudbzorhKBSq2Ae3HiEdZFc/NV1uka+p0M6V+blk1eJjo7WZbkL5aSwYwH2rzmk7VDSjto19qNc3pPukjK1ZwtQG2gBLADcFUXZqdmwJEmSpNTyru6OaSYTts3bo+1QkqXp4LrkscnFHx3+JuJdhLbDkSS9EtzQn7OhF7h37YG2Q0kRIQTNh9bn/vVwNs/cmS7nDGroz7vX7zmggSv42mZdJBe9pnfi/MHLTO8/X9vhaEQ+W2sKFM9L6Kr/vzm2LpKL2t2rsnnmTi4euRLvMW5lHanftyYbpm+jUMkCZMublUE1RnLvavyfG7WRmuCG/oSuPKTzy07LNwtEZaiimHsR7l8PZ+GIFWl+DqfSJSjsWICVEzfoZXN4n+runNl3gRePX2o7lDQhVDlAlQ8lQiZS0luiiRQhhP2Hj25AQeAecBcoIIRwFUIUTJ8QJUmSpJQwMTPGv7YXu5fu16uEhLGpMd0mt+POpXvM+3WZtsORJL0S1NAfgJ0LQ7UcScp5VnbF3suWub8uTZepM46li5PV2ipDLu8BCPjOmxqdKrJs3NoM1Wjzv3xDPDmx80ycREfDAbWxzGbBkt9WJ/iY5kPrUdzblml95vDDtPZER8cwoMqwBN9gV2hRhsiIKJ2/MGGVKws+Ndw5seMMQQ39WTxmFbcupO0YbCEENTtX5uqJG5zZdz5Nj50efGq4ExMdw8ENGWhksNpZVqRowZcqUn748HFsArffgTVCCLmIXZIkSYeVbRzAmxdvObBOP0Yhf+RWzonyzQJZNHqV3kwekiRdkKtgDkr627N9gW6/4fsSIQQtfq5P+K3HbJy+XePnU6lUBNb14eD6Y7x69lrj59OG9r81o6hrYca0mPipl0hG4lfTg5jomDh/68wtzfCo7MLxHWcSrJwwVBvSf143FEVh5qDFDFnemwfXwxlca3S8iw+2bkWw87Bh9aRNOl+FUalVMM/CX+AaVBIjUyMmdpme5jEHNfInUxZzVk7ckKbHTQ/F3G3ImjsLYWszTlJRqF0h5j5K9H1th/JNSTSRoihKuw8fgxK5OQG50i1SSZIkKdlc/+nfPAAAIABJREFUgkuSNXcWts3XvzdV7X9rRqYsZoxrN4WYmBhthyNJeiO4oT/XT9/i2qkb2g4lxdzKOVHS3575w5elS0VdUEN/IiOi2LsiY064MTIx4qdFPYiOiuHXBuPSpf9MeirmbkO2PFafpvd85FTagWcPn3PrQsJTWqwL56LZ4HqcDb1AjnzZ6DOrM6f3nmd0i4nx/u6EdK7MrfN3OLpVt5vOuld0JnverOxZcYCWvzbk6NZT7FqcthVqpuYmVGoVzJ5lB3h053GaHlvTDAwM8KpaikMbjmecvkFq59iPkRmoykYPfLVHihDCRAjxgxBiuRBimRCiuxDCBEBRlAqaD1GSJElKKZVKRZn6fhxcd1Tn13Z/LnN2Szr83oJzYZdYO2WLtsORJL1Ruq4PKkOVXjaD/Ohjr5THd5+y7u+tGj+fvWdRrIvkyrDLewDyFrXmh2kdOBd2iRk/xm/Cqs8MDAzwqe7OoY3H4yTenAJLAHBy19lEH+ta1hGAM6EXKFPfjzYjm7Br8f54PWUC6/mSJYelzldhqFQqKrYM4vDG43hVdcPWrTCTf5jF6+dpW21Vo1NFlBhFL/8++9Rw583Lt1/8vtAr6uKAseyTks6SMrVnNuAATAAmfvi3XNIjSZKkJ8o2CSAyIoo9S8O0HUqylW0cgFt5J6b3n6d3V70kSVsyZ7ekVAUndizcp9fVXC5BJXEu48CCEcs1PlFHCEGZ+r4c33aKpw+eafRc2hRYz5dq7cuz+LfVHFiXsZrr+tb05N3r9xzbdurTtrxFc5PV2oqTuxMfDVvQIR9mFqacDb0AQL3eNajeoQKLx6xizeRNn/YzMlZTpW05Dqw9Gq+Zc3RUNJtn7aSlfVcGVB3+1Vg1XWVVsWUQiqKwZfYuuk5qy7OHzxlSe0yajiy2LpILr2purJu2NV16GaUl17KOGJmoCcsgY5CFMAK1g+yTks6SkkgpqShKa0VRdny4tSU2mSJJkiTpAVu3IuS3y6OXy3uEEHSf3I7oqGgmdv1X2+FIkt4IbhjAgxvhnN1/UduhpErzofV5+uA5ayZv1vi5ghr6ExOjsFsPk87J0XFcC4o4F2RU84k8vPVI2+GkGZcgB8wsTdm38v/Te4QQOAWW4OSus4n2CVGpVNh7FeVs2MVPj/n+z1Z4VXVjYpfphP1nmlO1DhUQBoI1k2ITLFGRUWz8dzst7bsxpuVfvHr2hkMbjnHhcPxJQR/tXLSPmlmaa3SylnXhXLiVc2Tjv9uxLVWEPjM7c2LnWX6uOzZNl7OEfF+ZZw+fs3vJ/jQ7ZnowMTPGrbwT+9cc1vmeN0mmdoHIMyiK/gwX0HdJSaQcFUJ4f/xECOEFZJzuPJIkSRmcEILgRgGc3HVWL5sMWhfJRdPB9di34iB7VxzQdjiSpBd8Q9wxNjXS6+U9AI4BxXEr78Ti0St5++qtRs9VuGQBCpXMn6GX90Bsv5SBi3sSFRHF8EZ/ZJh+KWojNZ5V3Ni/5jDR0dGftjuVLsHju0+5eyXxRpwlfOy4dvIGb17Gfo+pDFX8uKA7Nq6FGdZg3KfESI582fCv7cWGf7ez6q+NtLTvxtg2k8lkZc7Pq/oy88J4zCxMWfHnugTP8/7te/7uM4fIiCiObz+dhs8+vsqty/Lw5iOObTtN2cYBdJ/SjoPrjzGiyZ9ER0V//QBJ4FbOkfx2eVil48udEuJTzZ0HN8K5nkEa2gsjVyAC5Wl7Yp5+/9mtc5yb8moySox+LffWRV8af3xKCHESKAWECiGuCyGuA/sB93SKL1FCCHMhxGEhRDVtxyJJkqTryjYOAGD7gn1ajiRlvutRlSLOBZnYZXqar/OWpIzINJMpPiEe7F4SqvdvlJsPqcez8Bes+mvT13dOpaAG/pzZd0Evk87Jkc/Wmu5T2nFm3wV2LNTPvwsJ8a3hwbOHzzkXdunTtqT0SSnha0dMjML5g5c/bTPNZMqva/qROYclA6uP4P71h0RGRJIzf3ZePX3NxC7TyZzdgl/X9OOvgyPxqe6OeWZzKrYMYufCUB7dfRLvPCv+3ED4rceojQw5s+9CGj7z+HxremKRNRMb/90GQJW25egwtjl7loYxts3kNFn2Z2BgQI3vK3H+4GXOH7z09QfoEK9qpQAIXZ1B6gOMvEHtDjGPIPrmf243IPr6/29Rl1BejUMJL4vy+l8U5Z2WA9dfX6pIqQZUByoBhYHAD7fCQOWUnlAI8a8Q4qEQ4vRn2ysJIS4IIS4LIfol4VB9gcUpjUOSJOlbYl0kFyV8irFdD5f3QOyYyh/+7sCTe8+YPiBjNUmUJE0JbujP80cvObJFt6eMfE0JHzs8KruyeMwqXr94o9FzlanvC8COhWk75UQXBTX0J0e+bOxdnnEq/Twru2CoVrF/1f+X9xSwz0uWnJk5uTvxREpxL1sAzn22FC5rbiuGretP5Pso+pb/mea2XVj6+xqMzYzIVSgHf+4fjlfVUgghPj2mVtcqxETHfFr+89HzRy9YMGI53tVKUaqiM2f3azaRYmSsplyT0uxbcZDnj14A8F2PajQfWp8ts3cxsXPajEWu0LwMZhamOt+E93PZrK2w9yxK2JqMkUgRBpkxyDYfg+xrPrutjXvLsQmRdQmoi6O8HIkSXh7lzUIURb/63OiCL40/vvHxBmQhNqlSHcjyYVtKzSQ2OfOJEEIF/EVsgqYE0FAIUUII4SiEWPvZLacQojxwFniYijgkSZK+KcGNArh26iZXT+rnSFQ7j6LU7FKZtVM2cyZUsy9AJSkjcK/ojIWVOTsW6P9SleZD6/PyyStW/qnZN2t5bHJj71k0wy/vgdhln341PTm86ThvX2eMq9Lmmc1xCS7J3pUHPyUJPvZJObHzTKKJg0xZzCnkkJ8zCSQ3CpbIz5AVvXl05wk58mdnxMaf6DSuJQ+uh3N67/l4+1sXyYVviDtrp26J09x17i9LeffqHW1GNsbBx45bF+5+SnBoSuXWwURFRrN1zu5P2xr/9B31eoewZspmpvWZk+pkipmFKeWbBbJrUajeNWr2rubO+YOXeXL/qbZDSVfCyBmDrDMRVrNBlQflxSCUR5VR3q5GUdJm2de3ICnjj7sB84CcH25zhRBdUnpCRVF2A5/XunkClxVFuarEdshZCIQoinJKUZRqn90eAmUAb6AR0FYIkZReL5IkSd+0wHqxI1G3zdPPqhSAFr80IHu+rPzRfmqaNsyTpIxIbaSmdB0f9q08qPdvlO3cbfCuXorl49dpfEJIUAN/rhy/zs3zdzR6Hl3gV8uTiHeRHN6YcaZ9+IZ4cvfyfW6eu/1pm1PpEoTfesz964lfgy3hU4xz+y8muOTFOdCBZY9m8MeeX3Cv4Exw4wAsrMwTrcKo1a0qLx6/ZNu82ITcncv3WDN5M5VaBVOwRH4c/OwBNN4MurBjQey9bNkwfVucxFKbkY2p3rEiS8auYe4vS1N9npDOlYiKjGb9tG2pPlZ68qkR260ibO1RLUeiHcLYG5F1ISLLVBBmKM97oTwOQXm3NeM04dWgpCQgWgNeiqIMUhRlELEJjLZpHEde4NZ/Pr/9YVuCFEX5UVGU7sB8YJqiKPF+4wkh2n3ooXI4PDxjr3OVJElKiiw5MuNe0ZkdC/bq7UhUMwtTuk1qy/Uzt1g8ZrW2w5EknRfUyJ93r99niDGfNTpV4sXjl3GWbWhC6Xo+CCEyRCXP1zgGFMcymwX7Vh7Udihp5uOb4/9O70lqn5RXz15zK5EEmomZ8aclPCZmxlRuXZZ9Kw4mOPnIqXQJbFwKsWL8OhRFYfqA+aiNDWk2tD4AxdyLYKhWcWZf/IqWtFa5dVlunL3NuQP/72EihKDzhFaUbx7I7CGLWfr7mlSdI79dXkpVcGbNlE161ZOpsGMBchXMQdjajLG8JyWEEAiTIES2lYjM40CJQHnWCeVRJWIe1//qTXm7XNtPQWuSkkgRwH9rfKI/bNM6RVFmKoqyNpH7/lYUxV1RFPccOXKkd2iSJEk6KbhRAOG3H3Nq9zlth5JiXlVLEVjPh3m/LuP2xbvaDkeSdJpjQHFy5MvG9gX6W4n2kVs5R3Lkz8aGf7dr9DzZ82TFuUwJdi7al+GvyqoMVfhUdyds7ZEMU+WXPU9W7D2LErrq/8mhgiXyYZnN4ot9Ukr4FAOSXiVSvVNFUBTWTok/mlsIQe1uVbl+5hYrJ2xgz9Iw6vasQTZrKwCMTY0p6lYkXcaTB9bzwVCtYs9nY70NDAzoOa0jpev6MLXXbNb9vSVV56nZuTKP7z5l3wr9ScoJIfCuVoqjW07y7s37rz8gAxPCAGFaFZF9PcJyGKjygTD7+g0jbYeuNUlJpMwADgghhgghhgBhwPQ0juMOkP8/n+f7sE2SJElKQ74hHphmMtHr5T0Anf5oidrYkH/6z9N2KJKk0wwMDAhq4MehDcd58filtsNJFZVKRaWWwRzdcpIHNzRbbRzUwJ/bF+9x+dg1jZ5HF/jX9uL18zcc33FG26GkGd8QTy4cusKjO4+B2J8Dx9LFv1iRkq9YHiyyZuJsEntw5S6UE+/q7qyftpWIdxHx7i/TwI8sOS2ZPXQxWXNnoW6v6nHud/C148KhyxpPYJlbmuFa1pHQVQfjJQZVhir6zemCV1U3xnecxq7FKW+y7FHZhdyFc+pd01mfGu68fxvBsW2ntB2KThDCEGFWF4Os0zHIOuOrN2H67Q7Q/WoiRVGU34GWxPY1eQK0VBTljzSO4xBgK4QoLIQwAhoAsmZbkiQpjZmYGeNXy5M9y8I03mdAk7LmtqJOj+rsW3GQS0evajscSdJpQY38iY6KZs+ysK/vrOMqtgwCYNOMHRo9j39tL1SGqm9ieY9bOUdMM5noVSXB1/jW9ABg/39G2zqVLsH9aw8TXIoDsdUJDr52nElGlUjI95V4/ugluxbvj3efkbEal6CSvHr6mmodK2CayTTO/Q6+dkS8i+TysetJPl9K+YZ4cvfKA66fuRXvPrWRmkFLelLEuSDzR6R8mYZKpaJGp0qc3nuey8f1JwHpFFgCMwvTDDO9R0o/SWrSqijKUUVR/vxwO5aaEwohFgD7ATshxG0hRGtFUaKAzsAm4BywWFGUjJMWlyRJ0iHBjQJ49ew1B9frd3O12t2rYGFlzqzBi7QdiiTpNBvnQhQonpftGSApkKtgDtzKO7FxxnaiozU3XcIymwXuFZ3ZuSg0wy/vMTIxwqOyK6GrDmr0/zQ9FbDPS15ba/atSl6flOLexbh1/g4vniStesu1rCMFiudl5cQN8b5PoiKjuHDoCgCP78afClPC1w4gXfqkfOwbE7oy4f5CRiZGBNT25uqJG6mqXKvUKggTM2NWTdyY4mOkN7WRGvdKLoStPaK3/eMk7Uj3aTeKojRUFMVaURS1oij5FEWZ/mH7ekVRiimKYqMoyrD0jkuSJOlb4VbWEatcmfV+eY95ZnPq9grhwLqjnA3T/DpzSdJXQgiCGwZwave5RK/G65PKrYIJv/WYo1s1W4rvX9ub8NuPuX76pkbPowv8a3nx9MFzzoVd+vrOekAIgV+IB8e3n+bVs9cAFHEqiIWV+RcTKQ4fkhtJ/X8QQhDyfWUuHr4Sp5krwLq/t3Lv6gNcyzqybc5uXj59Fef+bNZW5C6ckzNJXEqUGtmsrSjubcu+VYlXHTkHOQB8sY/M11hYZaJs4wC2z9+jV0sJfaq78+T+My4dkRWuUtLJscGSJEnfGJWhijL1/Tiw9sinF5j6qmaXSmTJYSmrUiTpK4Ia+qEoCjsX7tN2KKnmE+KBZTYLNmq46axb2ZIAHNt2WqPn0QWeVVxRGxmyd/kBbYeSZnxrehIdFc3BDbHF9AYGBpQMKP7FREExDxsMVAZJ7pMCUL5ZacwsTVn1n94gr1+8Ye7PS3Au40C7MU159+Y9G/6JPxrYwc+Os6EX0qXqyTfEk0tHriaaTLXzsMHEzJgTqeyVE9K5EhHvIvXqYo1nZVcMDEScpWCS9DUykSJJkvQNKts4gMiIKL3vmWCayZR6fWpydMtJTu3R30lEkqRpeWxyY+9lmyGW9xgZqynXpDShKw/yLPy5xs6Ts0AO8tpac3TbSY2dQ1eYW5rhWs6RfSvjNyTVV/ZeRcmSMzMH1v1/9LdT6RLcuXSPR3efJPgYU3MTbFwKcXZ/0hMppplMqdgiiN1L9vPkfuwSnkWjVvIs/AXtxjSlqEthXIJLsnLiBqKj4i6dcvCx48n9Z9y/9jAFzzB5/Gt5AhCayPhwtZGaEn52HN+ZusRhYceC5C6ck1N79edvsmU2Cxz87dkv+6RIySATKZIkSd+gYu425CtmrVdXjBJTvWMFsubOwsxBCzPMGwBJ0oTghv5cOX6dG2fjN5zUN5VaBxMVGc22uZr9HeYaXJKTu84SFRml0fPoAr+aXty/9pArJ65rO5Q0oVKpcAkuyYmdZz79bUhKn5QS3sU4f+ByvKTHl9ToVJGoyGjW/b2V8NuPWTZuLcGN/ClWygaA2t2qEn7rcbyKHwc/e4B0Wd6Tr1geChTPy76ViS/vcSlTkuunb6U6QWnvZct5PVsm5lPdg6snb2h8IpiUcchEiiRJ0jdICEFwowBO7jpL+O3H2g4nVUzMjGnYvzYnd53l2PaMX4IvSSkVWM8HAwPBjgX6v7yncMkC2HvZsvHf7RpNoLqVc+Ltq3ecP3hZY+fQFT413DEwEBlqeo9zoAOP7z7lzuX7ANi4FMLM0vTLiRRfO969ec+1U0nvjZOvWB48KrmwduoWpvefhxKj0PLXhp/u96rqRh6bXCwfvy7O4wo65MPM0jRdGs5C7PKek7vOJtpM17nM1xNNSVHcy5bw24/16vWFT/VSALIqRUoymUiRJEn6RgU38kdRFBaOXKH3lRxV2pYlR75szJJVKZKUqKy5rXAp68jm2Tt58/KttsNJtcqtgrl+5la8Jp9pyTnIASEEx7ZptrGtLrDKmRkHf3v2rsg4fVI+JQZ2xvb9UKlUlPS3/2KflI8NZ5NbJRLSuTJP7j1l27w91OxSmdyFcn66z8DAgFpdq3J2/8U4368qlYri3sU4m4yRy6nhV9ODmOgYDqxLeGpfMXcbTMyNOZ7KPinFvYsBcF6DP5tpLV+xPOS3y0PY2iNf31mSkIkUSZKkb1beotZUbVee1ZM2MbzxeN6/fa/tkFLMyMSIRj9+x9n9Fzm08bi2w5EkndWof20e33nCmJZ/6X3SMbC+LyZmxmycrrmms5ZZLSjqVvibSKRA7PSe66dvcefyPW2HkibyFcuDVa7McRInTqUduHX+Dk8fPEvwMTkLZCdbHqtk9UkB8KjkQp6iubGwMqfhgNrx7q/Qogxmlqas+DNuVYqDrx3XTt3k9XPNN38v5m5DtjxWifZJMVQb4hhQnBOp7JNi41IItZGhXiVSIHZ6z4kdp3n94o22Q5H0gEykSJIkfcO6TW5L6+GN2LlwH72Ch35qlKePKrYsQ+5COZg1eJHev0GUJE1xLuNA29FN2bv8APOHL9d2OKlibmlGYD1fdi7ax9tXmquwcQ125FzYRY2eQ1f41YxtSJpRlvcIIXAu45Bwn5TdCTdDFUJQwqdYsib3QGzVyZDlvRmxaSAWVpni3W9mYUqVNuXYvSQszpIXB187FEXhbDr0FDEwMMC3hgeHNx5P9OKJU6ADN88lnmhKCiNjNTauhTVaLaYJ3tXdiYqM5vCmE9oORdIDMpEiSZL0DRNC0KBfLQYv68X1Uzfp7NVfbxsNqo3UNB5Yl4uHr8gRhpL0Bd/1qEbZxgHMGrQozkQTfVSpdTBvX71j1+L9GjuHWzlHoiKjObUnffpYaFOugjmwdSucoZb3OAU68OjOE+5eie2TYutWGNNMJpzclfjylRI+dty/Hs7je8m7uFC4ZAHs3G0SvT+kcyWUmBhWT9r0aZu9ly0GBiLZiZuU8qvlybs37zm6NeEqK5cgBwBO7Ezl8h4vWy4evqJXjZpL+BTDPLMZRzbLRIr0dTKRIkmSJOFfy4txe35BiVHo7v8ToasTLvvVdeWbliavrTWzBi8iJiZG2+FIkk4SQtB9antsXAoxvPF4bl+8q+2QUszB14789nnZ8K/mlvc4+NmjNjL8Zpb3+NXy4lzYpURHBOsb5zIfEwOxy3sM1YY4+Nl9sU9KiQ99UtK6d0nuQjnxq+XJur+3fKpwMrMwpbBTwXSZ3AOxFTnmmc0SrTqydSuCmYVpmvRJef82guun9WdKmMowdtLT0a0nZWWr9FUykSJJkiQBUNS1MBMOjKBA8XwMqTWGxWNW6d0LCZWhiqaD6nL15A32LA3TdjiSpLNMzIwZsrw3aiNDBtcarbc9AYQQVG4VzNnQC9w4d1sj5zAxM8bBz46j205q5Pi6xr9W7PKe0JX6mVD/XH67j31S/p8YcCrtwPXTt3j+6EWCjynqWhi1kaFGqkTq9Q7h1dPXTOs779M2B187zh+4lKyRyymlNlLjVdWN/WsOJ3g+laGKkgH2X6zYSQp7r6IAnAtLn0a6aaVUOSce3Aj/NOlJkhIjEymSJEnSJ9nzZGXszqGUruvNtL5zGdt6MpERkdoOK1nKNPClYIl8zB66mOhozb8olSR9latgDn5a9AO3L95jTIuJelvFVa5ZICpDlUabzroEO3L1xA2ehT/X2Dl0RYHi+chvl4d9KzPG8h4hBE6BJTi582yS+6QYGauxdbfhrAaSAPaettTuXpU1kzdxZEvsEhIHXzvevnqXrJHLqeEb4smLxy8TrYJxKVOSWxfupqoqKXehnGTJmVnv+qS4lXcC4OiWbyNxKqWcTKRIkiRJcZiYGTNgfneaDKzDppk76Fvhl0Sv2ukilUpF08H1uHnuDjsW7NN2OJKk01yCStL+t2bsW3mI+cP0s/msVc7M+NRwZ+ucXRpL/LqVi31zdSKVyx30gRACv5qeHN9xhhdPXmo7nDThHOhA+O3H3Lv6AIBi7kUwNjX6YtWFg08xLh2+QsT7tP+eajWsIQWK52Vs68m8evYaBz97IPkjl1PKo5ILaiNDQlcmvLzH+UOflJOp6JMihKC4t63eTe7JY5Ob3IVyfEpySVJiZCJFkiRJisfAwIDmQ+vTf143zh+4TGfPfhq5MqcpAd95UcSpIHN+XpIupdKSpM9qda1C+WaBzBq8iP1r9LNRc6VWwTwLf0HYGs00zy1WqghmlqYc3fptXKX2r+1FTHQMB9Ye1XYoaeJjBcrHBqpqIzUlfL/eJyUyIorLR6+meTxGJkb0mdWFx/eeMqn7DHIWyE72vFk5E5o+DY3NLExxLefIvlWHElzCa+NSCPPMZqluOGvvacutC3f1KiEnhMCtnBPHd5yWrx+kL5KJFEmSJClRwQ39GbtzKIoCPQIGMn/4cr1YLvMxEXT38n22zN6l7XAkSacJIeg2uS22pYowsumf3LpwR9shJZt7RWey582qsaazKkMVLkElObb9tEaOr2uKuduQI1+2DDO9p0DxfGTJYRknceJUugTXTt7k5dNXCT6mhE8xAM6EJv0igqIoSX7zbeduQ6MBtdkyexehqw5RwteOM/vSpyIFwC/Ek/vXHia4nEilUuFYujjHUzu5x9sWgAsHL6fqOOnNrbwzb1685byexS2lL5lIkSRJkr6ouJctU46NoXQdb2b8tIB+FX7h0Z3/sXef4VHWWR/Hv/dMeiMhpJHeQ3rvkNB7b1Z0RfdRsazddV11Levq2nV1V+xdkCJFBOkQSkgIoUMoAQIBQm9pJPO8iEGRlpnMZOYO53Nd+2KHzH3/A2NgzpzzO0fNfaxryhqSSkRqKN+9Ml11oblCtDVbe1uem/IoNrbWPDv836oLn9VqtfS9vTtFP6/j8L4jJrlHUo84KncdonL3IZNc35I0j/cUzV1H9dkacx+n1RRFIT4/htLFmy7KSdHpdGxYdvmclI7ebngHe7JlVcuKG/V19Tze+3meGfZKi891099GEJYUzFv/9z9C4gM5vPcIVRVt8/dr1pBUFEWh4ArjPYn5sRzYcbBV54lMC0NRFLasUtd4T1KPWBRFkZwUcVVSSBFCCHFNTq6OPPXNX3jk43vZWriDPyc8yoofLXujg6IoDLyrF/vLKtm1fo+5jyOExfMM8ODpSQ+zv6ySV8a9q7rw2b5/6o5Op2PeZ4tNcv2kXnEAlCy4PrpScoanU1dTT9HP68x9FKNIyIuhat9RDu4+DEBUehjWttasX3Ll8Z6YX7tEWlKM/98jX7Bu4UYKfyph/47KFp3J2saaxz+/j7Mnz11Yr22KTUGX4+blSnR2xBULKc05KesWGf56d3C2JyjWn62F6iqkuLg7E54SQvF8yUkRVyaFFCGEEC2iKAr9/tSdD4pfxTvIg2eHv8o7Ez6itrrW3Ee7oqyhaSiKwvKp7aM9XQhTS8iL4Z43bmfljCKmvDHL3MfRi0+IF0k945j76UKTFIEConzp6ONGyXWyBjmuaxdc3J2v+EZbbS7kpPxaOLGxsyE6K+KqOSldMiM4dvAEh/ZUXfXa879ayo//+Zlet3ZDURTmf7m0xecKjg3gtudvoHTxJqxsrNoscBaaxnt2rivnYPnhS34tJD4QZzfHVgXOQlNOytbVZaorzCb3imfLqjLVdeeJtiOFFCGEEHrxi+jMWwUvMerhwcz8YC73ZfyV3RvbZmWjvtw8OxDbNardzPkL0RaG3tePnGFpfPr379izeZ+5j6OX/uN7crC8ipkfzDP6tRVFIalnLOsWblTdm0JDaK20ZA1OZdWsYpNtQ2pLgdF+dOjkfNGmnvhu0ews2c3Zk2cv+5yY7Ejg6l0iu9bv4a3/+x/xedE8+vG9JPWMZf6XS/R6jYx6ZBDR2ZE0NjS2OuBVH1lD0wAu22Gq0WiIz4s2Sk7K6eNn2V/Wsi4dS5HaJ6HN/zyEukghRQghhN5sbK35v9fG8c85f+Nk1SnuS3+SGe/lmkzHAAAgAElEQVTPtcgsktzhGZRv3EfF9gPmPooQqtAUPvtnHJztePX2/3C+/ry5j9Ri3UZnkjkohfcf/ITCOSVGv35yz3hOVJ26bEBne5QzPJ2zJ8+xrh2sfb5STkpjo46NVwh5DY4LwM7Rls0rLx84e+bEWf4x8t84uTny9HcPobXS0uvWPA6WV+kVHKvVann8swkoisKuDXs4d6Za/2/QAH7hPgTF+F9xVDchP5aDuw9fsyPnarpkNoX2bl2truDWLlkR2DnYSk6KuCIppAghhDBYWt9E/rfuNRLyY3j3vo/4+5B/cezgcXMf6yK5IzIAWD6tfbSnC9EW3LxceeD9u9hetJPv/jXd3MdpMa1Wy1PfPEhIQhAvjn2DnaXlRr1+Us/mnJQNRr2upUrpHY+doy1LJ60w91GMIiEvhsN7j1wYZemSGY61jdUVx1e0VlqiMsLZvPLSokhjYyOv3PYuh/Yc4e+THsHNyxWA3OHp2DnaMv9L/TbG+Yb5MOCuXqCDL56dpOd3ZrjsoWlsWLqZU0cvXVGckN+Uk9Kargz/qM44ONuzZVXLtx9ZAhtba+Lyoin+RXJSxOVJIUUIIUSruHm58uKsv3LvW3+iZMEG7op7hGVTVpn7WBd4+nciMi2UAhnvEUIv3UZl0eOmXL564Qd2lOw293FazN7JnhdmPomTqyNPD3rZqFtQPPzc8Y/szNrrpJBiY2dD71vzmPfFEnZvUH9od3NOSnPArK29LZHpYVfNSYnOjGBn6R6q/9Al8u3L01g1s5i737jtwggQNL3+ckdksGTySr0zxG57fiwAP743h8pdbbMdKmd4Oo2NOlbNKr7k14Ji/XFxd2bdYsMDZ7VaLZHpYWxZra7AWYCUXvFUbK/k8F7DO3JE+yWFFCGEEK2m0WgY/sAA3i9+Fa8gD54f/Tqv3PbuFefO21ru8Ay2Fu4w2VpUIdqrCe/cQQcPF1657V3qatWTk9Gpc0denPVXzp2q5unBL3PutPFGJRJ7xLFh6eZ2kRvSEre/cANOro68M+Ejixzf1EdzTkrp73JSEvJj2F68i+OHT172Oc3ZJdvW7LzwWNG8Uj5/5nt63tyVoRP6XfKc3rfmcfbkOVbNvLQ4cTUd3J3xDfdBp9Px7z/9h4aGBr2eb4jw5BA8/NwvGyqs0WhIyI+mdNGmVv3Zd8kIZ9f6PdScs9xw+stJ7h0PQLGM94jLkEKKEEIIowns4sc7K17ilr+PYuE3y7kr/hFKFpr/k9vm8Z4CGe8RQi8uHZ15eOLdlG/cx5fPtd24gTGExAfy9KSHKd+4jxdveJOG88Z5U5rcK46as7VsK1RX5oOhXNydufNfN7Nx+VZ++UK/cRVL0xygun7xbx0o3W/MpbGhkV8+X3zZ53TJDAe4kJNysPww/7zpLQJj/Hjwv39GUZRLnpPQPYZOvh2Z/1XLt/c0i+8WjZWNNRuWbWHGf+bq/Xx9KYpC9tA0iueVXrbQEf+HcShDdMmMoLGhkbLiXa05apsLivGno48ba+dLIUVcSgopQgghjMrK2orb/jGWtwtexNbehsd7Pc8HD31m1jXJfhGdCYrxl+09QhggY0Ay/cf3ZNK/f7xsVoQlS+ubyP3v3cmaOSX854FPjNJRkZAfg0ajsHa++YvEbaXvn7oTnRXBxMe/5PTxM+Y+TqvEd4vh0J6qC4WBwC5+xHXtwk8fLbjs68OlozMBXXzZvHIbdTV1PD/6dRrON/DslMewd7S77D20Wi09bupK4ZySK3a6XElMTiS152qJygjnm5emUH22Rv9vUk/Zw9Kpra6jeN6leSCJ3WMBKG1F4HBURhiA6nJSFEUhuVccJQs2XBebuoR+pJAihBDCJKLSw/lg7b8ZOqEfU9+ezb2pT7C9eOe1n2giOcPT2bhsi97/qBVCwP+9Pg4P/068evt/VNeeP+j/ejPm0SHM/O88prw5q9XXc3ZzIjwlxCK67dqKRqPh/v/cyamjp/n06e/MfZxWSci/OCcFoP+dPdlfVnnRY78XnRnB5pXbefe+jykr3sUTn9+PX7jPVe/T69ZuNDY0sujb5XqdrzlvJSE/mhNVp9qkKyW+WxecXB0vO94TGO2Hq4dLq3JSXD064BPipcqclORe8Zw8cpqd68rNfRRhYaSQIoQQwmTsHGy5793xvPzz05w7Vc0DWX/jnXsnsnbBhjbPF8gdkUFjo46VM4ra9L5CtAeOLg48+sm97C+r5OO/fm3u4+ht/L9upuuoTD587EujdKYl9Yhjy6qySwJI27OwxGCGTOjHrP/OY1uR+YrirRUY0xSg+vuclG6jMnFydeSnj+Zf9jnR2ZGcPnaGnz9ZyI1/HU720LRr3ic4NoDw5GC9x3t8w31w9XDh+KGTpPVLZNK/fzRqxs/lWFlbkT0sjYLphZdkIV1YG93anJTMcLaqtJACkpMiLiWFFCGEECaX2ieBD9e/Ts9bujL3s0U80ft5RnmO56Ub32ThN8vapFU8NCEInxAvGe8RwkCJ3WMZdn9/pr87h3WLDP902hw0Gg1PfH4fURlh/OuWd9ha2Lo3dEm94mk438D6pVuMdEJ1uP35sbh5deDdCRPbJAjVFH7LSfmtkGJrb0uvW7qx7IdVl10DHJMTBTTl4zRv1mmJXrfmUVa8i/JN+1r8HEVRiM6OZFPBNsY9N4ZTR08z/d05LX6+ofLH5nDuVDVr5pRc8muJ+TEc2X+MAzsPGnz9qPRwjuw/ZtQtWm3B3ceNoFh/yUkRl5BCihBCiDbh7ObEY59M4IeqT/jHtMfpNiqLdYs28fIt7zDKczyP9XyOqW/NNtnKR0VRyB2eTsn89RazTUgItRn/8s34hvvw2h3vc/bUOXMfRy+29rb8Y/oTuHm78vchr1C52/CfNTHZEVjbWlNynb25cuzgyJ//PY5ta3Yy56OF5j6OweK7RXOwvIpDe35bazvgrp7U151n/peXdpAERPnyj+mP88zkR9BqtS2+T/cbc9FoNcz/Ur+Q3uisSPaXVeIV5EnGwGR+eH2Gyf97S+oRS4dOziz+vuCSX0swQk5Kc2iv2nJSoGkN8sblW1U31ihMSwopQggh2pS9ox3ZQ9N45KN7+P7Ah7y94iXGPDaUE1Wn+ODhzxgXdh8T0p+krqbO6PfOHZHB+foGVs1aa/RrC3E9sHOw5fHPJlC17wj/e+QLcx9Hb26eHXhp9lPU19bzv0cNP7+tvS2xuVGULFRXZ44x9Lgpl4T8GD556mtOVKkzcyohPwa4OCclOC6QLpnhzJ74y2VHWLKHpOHYwVGv+7h5diCtXyILv1muVwdPTE5TTsqWldsZ99wYTh8/y7S3f9Lr3vqysrai68hMVs0sviTg1j+yMx29XVuVkxKaGIS1rbUqx3tS+iRQX1vPhmXXVweauDoppAghhDAbjUZDdGYE4/95ExPXv8EXO95j6IR+bC/aScX2SqPfLyojnI4+bjLeI0QrRGdFMuaxocz5eAGrf1JfUTIgypfe4/Io/KmkVZ/yJ/WIY9f6PdddgLWiKNz/3njOna7hoyfUl5cDEBTrj3NHJ0oXX9xhMeDOXuzdsp9NK4y3nar3rXlUVRyldPHlg2wvJyIlBGsbK0oWbiAiJZSsIalMeXMWZ06Ytpuy+4251JyrvSRL7EJOyuLNBuekWNtYE54crMrA2bhu0VjbWLFWclLE70ghRQghhMXwCfGi97g8AA7uPmz062s0GnKGpbNmTom06ArRCrc+N4bOYd5Mfm2GuY9ikPyxOdTX1rPixzUGXyO5VxwA667DrpTAaH9GPjSIuZ8tYmPBVnMfR2/NOSm/D5wFyBubjYOzPT9NvHzorCEyB6fg4GKv13iPjZ0NGYNSWPTtcurr6hn37BjOnDjL1LdmG+1clxObG0Un346XHe9JzI/hWOVxKrYfMPj6UenhbC/ayfn68605Zpuzc7AlJidSclLERaSQIoQQwqJ4B3sCpimkQNN4T211HUVz15nk+kJcD2xsrUnuGceOkt2t2uRhLl0yw/Hwd2fJpBUGXyMsORgnV8fr9s3VLX8fiYefO+9O+IiG8+oLno3vFs3B3Yc5vPe3nBR7Rzt63JTLkkkrjBaCbmtvS97obJZNWXXJyMzV9B/fk5NHTrNqZjFhScHkjshgyluzTBrOrtFoyBuTzZo5JZfcpzknZV0rc1LqaurZtX5Pq85pDsm9Epo60A6dMPdRhIWQQooQQgiL4uLujIOzvclCZxPyonHu6CTjPUK0UlhSMGdPnuNguWmKnqak0WjIG51N8bxSg9+YarVaErrHsG7hBiOfTh3sney5560/sWv9Hn78z8/mPo7emnNSSpdcPHIz4K5e1NXUs+DrZUa7V+9xedScraVgWmGLn5PSJx4PP3fmfLwAgFufGc25U9VMeWOW0c51Od1vyOF8fcMlZ/UN88a9sxvrl7SmkBIBwNbVO1p1RnNI7t20Bnnt/Ovzv3dxKSmkCCGEsCiKouAd7GmyN2daKy3ZQ9JYNbOY+rp6k9xDiOtBaGIQADtKys16DkPlj82+7BtGfST1iONgeZXJCr+WLnd4Omn9Evn8me85cuCYuY+jl+C4AJzdHC9agwwQnhxCeEoIP02cb7Ruq5icSLyDPPhFj/EerVZLn9vzKZpbyuG9VYTEB9JtdBZT35592RXNxhKRGkrnUC8W/WG8R1EUErvHUrp4k8G/L54BnXDz6sCW1erb3BOWFIRzRyeK55ea+yjCQkghRQghhMXxDvY02WgPNI33nD15rlUtykJc74LjAtBoFHau223uoxgkIjUUnxAvFrdivCfl10+pp71j2o0qlkpRFCa8cwf1def58DF1bXHSaDTEdYtm/dJLQ2AH3NmL3Rv2srXQOJ0TGo2Gnrd0o2T+Bo7sP9ri5/W7owcAcz9bDDR1pdScrTVpNpGiKOSPzWHdgg2XBCkn9ojj+KGTlK3dZfC1u2RGsGWV+gJntVotST3jWPvLelWOMwrjk0KKEEIIi+PzayHFVP9YSe4Vh72THcunrDLJ9YW4Htja2+If5cvOdeXmPopBFEUhb3QWJQs2GLzG1y+iM0Mn9GPaOz/x00cLjHxCdfAN82H0I4NZ9G3BRXkjapCQF8OBnYc4vO/IRY93vzEHO0dbo4bO9ro1D51Ox8Jvlrf4Od5BniT1jGXup4tobGwkKMafvLHZTH9vjklXT+ffkENjo46lk1de9Hj2kFS0VlqWTFp5hWdeW5eMcPaXVZq0q8ZUUnrFc/TAcfZuqTD3UYQFkEKKEEIIi+Md7EXNuVpOmGitqI2dDRkDk1nx4xoaGtQXkiiEpQhLClZtIQWatrQ0NjSyfKrh4z33vHk7qX0TeOfeiaxbdP1t8AHIHpoGYLQOjrYSnx8NwPo/5KQ4ujiQPzaHxd8VtGpF9u/5hfvQJTOcX75YoteHBP3H9+TQnipKFjRlc9z6zGjqquuY/G/TdaUExwYQFON/yfYeF3dnknvFsXTyCoM/6LiQk6Ky1wr8lpNSLGuQBVJIEUIIYYGaN/dUmnK8Z3gGJ6pOsalgm8nuIUR7F5oQRFXFUU4eOWXuoxgkNCEIvwgflky6dN1rS2mttDz93UP4Rfjw/KjXWrUeVq2C4wOxtrFi25qd5j6KXkLiA3F2c6R08aVjngPu6kXNuVoWfWv4a+OPet+aR/mmfXoVH7OHpePc0elC6GxAlC/db8xlxvtzTbpBJv+GHDYu33pJt07emGwOllcZXAiJSA1Bo1HYskp9OSneQZ50DvOm+BfJSRFSSBFCCGGBfEJ+XYFswgDH9AFJWNtas3yqbO8RwlChScEA7ChRZ06Koijkjclm/ZLNHDt43ODrOHZw5IWZT6LRanh68L84dUx9YwutYWNrTUhCINvWqKvLQKPRENu1y2VzUqLSwwiJD+Snj4w33pM3Nhsray3z9QidtbG1ptct3Vgxfc2FguUtfx9FXU0d37/6o9HO9kf5Y7MBWPL9xRlCOcPSsbLWGrw63N7JnqDYALasVl9OCkBK7wTWL9ksYfVCCilCCCEsj1eQ6TtS7J3sSe2bwPJpqyU4TggDhf26uUfN4z35Y3/Ng/ihdZlJPsFePDftcQ7vqeKF0a9fd2+0IlLDKCveRWNjo7mPopfYnCgO7Dh4SVeVoij0v7MnZcW7DA5X/SOXjs5kDk5lwTfLaTjf8rHS/uN7UF93ngVfNa1k9ovoTM9buzHzg7kcrTS8AHg1vmE+RKSGXrK9x8nVkdS+iSydvNLgP+suGeFsK9yhutcKNAVM15ytZfNK9XXUCOOSQooQQgiLY+dgi5tXB5Nu7oGm8Z6qfUfZXnz5fyTrdDp2lpbz2TPfcXfyY3z3ynSTnkcItXFxd8bD350dKt3cAxAU409QjL/Bn7D/XmxOFA9/dA/rFm3inXs/uq6KtJFpoZw7Xc2+beoabQqODwSgfNO+S36t1y3dsLGzNmrobM+bu3Li8Em98nSC4wKJSg9jzicLLrymbnl6FOfrG/jehH8vdb8hh7LiXVSUVV70eN6YbKoqjhpcTIjKCOfMibNUbK+89hdbmMTuMWi0GtZKTsp1TwopQgghLJJPiBcHd5tutAcgc3AKGq3movEenU7HltVlTHz8S26PuJ+7kx7j239O5Vjlcb5+8QdVbhoQwpTUHjgLTW8MNy7fSlVFy1fTXkmvW7px899G8vMnC/nhjVlGOJ06RKWHAbBdZTkpwbH+AJRvvLSQ4uTqSN6YbBZ+s5zqM9VGuV9av0TsHG1ZNkW/sdL+43tSvnHfhWySzqHe9LylK3M+WkBdTZ1RzvZHeWMuP96TNSQVa1trg4uPXTLDAVSZk+LYwZGojHCWTF553XWdiYtJIUUIIYRF8v51BbIpuXR0JrF7DMunrqJ0ySb+8+An3Bx4Dw9kPcWUt2bTOcybh/73f3x3YCKvzn+WmrO1/PjezyY9kxBqE5oQRMW2A9ScqzX3UQzWnAfxx3Wvhhr3jzF0HZXJxMe/ZMWMNUa5pqXzi+yMvZMdWwvVlX3h3rkjzm6O7N6w97K/PuCuXpw7Xd2qlb+/Z2tvS/qAZAqmF+q1NS5vbDZ2DrbM+d2a7fwxOdScq2X90i1GOdsfefi5E9e1C4u+W35Rd5WjiwPp/RNZ+sMqgzbf+Uf54uBiz1aV5qTc+ORw9pdVMuU6KpSKS0khRQghhEXyDvLk8L6jnK8/b9L75A7PoGJ7JY92f46fJs4nPCWExz+/j8mHPuLlOU8z4K5euHl2ICjGn6whqUx79yeqz9aY9ExCqElYUjCNjborvhFVA7+IzoQmBrHYCOM90BRi+vhn9xGeEsLLN7+t6tGnltJqtYSnhLC9SF0dKYqiEBQbQPmmy79+Y7IjCejiy2wjjvd0HZHBicMn9doa5+jiQN6YbBZ/X3ChOyY+LxprW2vWzCkx2tn+qPsNOezZXEH5xot/f/LG5HCs8jgbl2/V+5oajYaojHDWzl9vsm4aU8oclELO8HS+euEHKk3cOSsslxRShBBCWCSfEC8aGxqp2tf6Vvur6XlLN8Y8NpSnv3+YHw5/zD+mPU7vW/NwdnO65GtveGIYp4+dYc7EBZe5khDXp9BfA2fVurmnWf6YbLauLuNguXE64ewcbHn+xydwdnPimaGvmCwU1JJEpoayc1256kYegmL8Kd+477KZNoqiMODOXmxdXcau9XuMcr/0AclY21qzbIp+Acf9xveg+kzNhe4YOwdbEvKjWTN3nVHOdTm5IzPRaDUs+u7i0NnMQcnY2tsY3Kkz7L7+HNh5iHcnqDNL6N63/oSiUfjPA5+o8vyi9aSQIoQQwiJ5B5t+cw+Ag7M9d71yC3mjs7B3sr/q10ZnRRKfF80Pb8xU3RsFIUzFK9ADJ1dHdqq8kHIhD8JIIxwA7j5uPD/jCU4fO8Prd35gtOtaqsi0MOrrzquuOyk4LoCzJ89dMSOn97g8bO1tmPRv46wbdnBu2hpXMK1Qr801MdmR+Ef5MueThRceS+uXxL6t+41WAPwjN88OJPWMY/H3Ky4qGNg72ZM+MJllU1bptYGoWdbg1KYsoU8XMet/vxjzyG3C078T454by+rZaymYXmju4wgzkEKKEEIIi9RcSDF1Toq+bnhyOFUVR1nw9XJzH0UIi6AoCqGJQewsLTf3UVrFJ8SLyLRQlkwquPYX6yEsMZjhDwygeF4pp46177DqyF8DZ7epLHA2KDYAuHzgLDRtpxo6oR8Lv1nOns2X/xp9dR2RSVXFUb1+rxRFof8dPdi8Yht7tlQATeG1gMnHeyp3HWLbmh0XPZ4/JpsTh09SumSzQde99bnRpA9I4v0HP2Fjgf4jQuY2/IH+hMQH8v6DnxotjFiohxRShBBCWCQPP3e0Vloqd1nW/HFqnwTCkoKZ9Op0g0L2hGiPwhKD2LV+j0GfTFuSvDE5lK3dzf4dxl3LmjUkjcaGRtbMMd0IhiXwCvSgQydnthXuuPYXW5CgC5t7rtxJM+bxodg52vLl85ONcs/MwSlorbQs13O8p9e4PLRWWn7+uKkrxS+iM97BnhT+bLpCSs6wdKxtrFj8h/Ge9AHJ2DnastTAbCGtVstfv3oQz0APnh/1Gkf2m3aU19isrK148IO7qKo4yhfPGed1IdRDCilCCCEsktZKi2dAJ5O1KxtKURRueGIY+7YdYMWPReY+jhAWITQxmLqaeiq2HzD3UVolb0wWAIu/N07obLPItFDcvDqwcmb73uCjKAoRaWFsK1JXIcXZzYlOvh3ZfZVCSodOLgy7vz9LJq1k94bWZ6U4uzmR1DOWZVNX65Wx4ebZgeyhqfzyxWLq6+pRFIW0fkmsW7iRulrTjJw6uTqS1j+JxZNWXPQBgp2DLZmDU1k2dTXn689zaE8Vk1+bweO9n6dk4YYWX/u5qY9RfaaG50e/brLvwVSisyIZcGdPpr49W/VdeUI/UkgRQghhsXxCPDloYR0pALkjM+gc5s13/5omIXNCAGFJQQDsKCk36zlay9O/E9HZkSwx0vaeZhqNhsxBqaz5eV27z1eKTA1l7+YK1W03C4r1v+JoT7NRjwzGwcWez5+bZJR7dh2RSeWuQ3q/Ae93R09OHjnNqpnFQNN4T83ZWoM26LRU9xtyOHrg0i09Sd1jOHX0NHfFPcwtwffy4eNfUrp4EzM/mNviawfHBvDYpxPYsqqM9x/4xNhHN7nx/7oZZzdH3rl3ol6ZN0LdpJAihBDCYnkHeVpcRgo0tSOPfWwo24t2UrKgZZ+6CdGe+Uf5Ym1rzc52sOY3f0w2uzfsvZBBYSyZg1M4d6qaDUu3GPW6liYyLYzGRh071qrrtRAUE8CezRVXHdl06ejMyL8MomBaIWVrd7X6ntnD0tBoFJZPWa3X81L6xOPh586cj5s2yCX2iMXaxsqkOSkZg1Kwc7Bl8XcFHN5bxQ9vzOSB7Kd48/8+BODU0dOMf/lmvtjxHn1v707xL+s5X3++xdfvNiqLG54YxuyJ85n9obrCZ106OvPnf49j88rtF0auRPsnhRQhhBAWyzvYixNVpywyxK3XuDzcO7vx3SvTzX0UIczOytqKoFh/dqwrN/dRWq3rqEwURWGJkcd7knvFY2NnzcqZ7XskMDItFICtKstJCY4LoL62ngM7Dl7160Y+NBAnV0e+MEJXiqtHB+K6RbNsqn45KVqtlj6351M0t5TDe6uwd7QjrlsXiky4Btne0Y7MIanM+XghNwfdy/8e/YLzdecZ/8+byB6aRmODjpEPDcQnxIv0AUmcO1XNphXb9LrH7S/eQGrfBN67/2M2r9TvuebWe1we8XnRfPTkVxw/fNLcxxFtQAopQgghLJZPiGVu7gGwsbVm5EODKVmw4ZJNBkJcj8ISg9lRslv1426dOnckrlsXFk9aYdTvxc7BluTe8ayaWaT636OrcfNyxTOgE9tVlpPyW+Ds1cd7HDs4MuqRwayaVczWwrJW3zd3RAZ7t+zXuwOq3x09AJj72WIAUvsmUb5pH4f3HWn1ma5k5F8GEtc1ijteuonPtr/D+0WvcsOTw+k/vidnTpxl7S/rAUjqGYfWSqt3h4xWq+WvXz+Ih38n/jHqdY5WHjfFt2ESiqLwwPt3UX2mholPfGnu44g2IIUUIYQQFqt5BXKlBRZSAAb+uRfObo7SlSIEEJoYxOljZ6iqUNfmjcvJH5PNvq372b3hyuGjhsgalMrB8qqrbodpDyLTQlW3Ajmgix+KolyzkAIw/IEBuLg78/mz37f6vrnD0wH0Hu/xDvIkqWcs8z5bhE6nI72/6dcgR6WH8+8Fz3HjX4fjG+Zz4fGUPvE4uTqyZPJKABxdHIjrGkWhAWdx6ejMc1Mf49zJc7ww5nVVZQoFdvFj1CND+OXzJZQu3mTu4wgTk0KKEEIIi9VcSLHEjhQAB2d7hkzoR8G0QvZu3W/u4whhVmFJwQDsKFFXNsbl5I7MRKNRWPx9wbW/WA8Zg1IAWPlrSGh7FZEaRuWuQ5w6etrcR2kxOwdbOod5s3vjtTfyODjbM+axoRTNLWVjQesCXjv5uhOdFaH3eA9Aj5u6crC8irK1uwjo4odnQCfWmHAN8pVY21iTMyydgumF1NXUAZDWL4ndG/YaVFgNiQ/kkY/vYVPBNj74y2dGPq1p3fz0SLyDPHhnwkRVFYGE/qSQIoQQwmJ16OSCvZMdlRa4uafZsPv7Y2NnzfevSleKuL6FxAegKAo720FOiptnBxJ7xLLEyOM97j5uRKWHtfuclKj0MADVjT22ZHNPsyET+uLq2cEoWSm5IzLZua5c77/rsganotEoFEwrbFqD3DeRkgUbzfIGPm9MFudOVVM0rxSA9AHJgOEdMvljcxjz6BBm/ndeq4tVbcnOwZb73ruTvVv288Prs8x9HGFCUkgRQghhsRRFwTvYk4PlltmRAk1hgf3v7MmCr5aZdDZdCEtn72SPb7h3u9jcA5DeP5kDO0TDxeEAACAASURBVA9x8sgpo143c1AqW1eXceygevIf9BWeEoKiKKob7wmK8Wd/WeWFroqrsXe044YnhlGyYAOlS1o3xpE7omm8Z9kU/bpSXNydiesWzYof1wCQ1j+Jc6er2bxie6vOY4iknnG4uDtfWB0eGO2Hh787ha3okLnp6ZForbSsnqWuDq6MAcnkjsjgqxcmqyrnRehHCilCCCEsmnewZa5A/r3RjwwG4IfXZ5r5JEKYV1hScLvoSAHwi+wMQMX2SqNeN2tIKgCrZ6816nUtiaOLA36RndmmssDZ4LhAGht17N3SslHNQXf3pqOPG58/+32rOpd8gr0ITw5m2VT9clIAcoalU75pHxVllRdCXg3JJmktK2srcoens3JGEbXVtSiKQnr/ZNb+st7gDhlHFweisyIudLmoyZ9evJG6mnqW/pobI9ofKaQIIYSwaD7BXhzcddiit1x4BnjQ4+Zc5ny0wOifXguhJqEJQRwsr+L08TPmPkqr+UU0hWnuLzNuISU4LgDPgE7tfrwnMi2UbYU7LPpn9x81b+7Z3cIwYFt7W27863A2LN1CyYINrbp37ohMtq4u0ztTJGdYGgAF0wpxcLYnNjfKpGuQryZvTDbVZ2oonNN0//T+SVSfqWFTgeGrjFP6JLCjZDfHD50w1jHbRECULyHxgSyZbNw16sJySCFFCCGERfMO9qTmXC0nqiy7QDH28WHUVtcx/d055j6KEGYT+mvgbHvoSvEO8kRrpTV6IUVRFLIGp7L2l/XUVtca9dqWJDI1jOOHTqpqi5NvmDfWNlYtzkkBGHBXLzz83FvdldJ1ZAbQVBDRh2eAB+HJwRRMb+pmSeuXxK71eziyv+1/3xPyY3D1cGHJpKaQ5qSesVhZayn8yfDuq9S+TduIin9drawm3UZnsalgm6r+GxAtJ4UUIYQQFs3SN/c0C+ziR/awNH58b06L5uuFaI/CEoOA9lFI0Vpp8Q72pMLIhRRoGu+pra6jZMFGo1/bUkReCJxVT06KlbUV/l18W9yRAmBja81NfxvJ5pXbW9UJ4h/pS1CMv0Hbe3KGZbBlVRlHK4//tgb557bvStFaaek6MpPVs9ZSfbYGeyd74rpFt+os4cnBdOjkbLYum9bIG50FwLIf9P8zFZZPCilCCCEsmk+IF4BFb+5pNvCuXpw+frbVLd5CqJWblysdfdzY0U4CZ33DvY3ekQIQnxeNg7M9K2esMfq1LUVoQiBaKy3bVba5Jzg2gHI9CikAff+Uj3eQB58907qulNwRGWxctoXjh0/q9byc4U1htSt+XENQbACdfDuaZQ0yNI331JyrpfDXDKC0fkmUb9rH4b1VBl1Po9GQ0ieB4nmlNDY2GvOoJucX0ZnQxCAWTzLuGnVhGaSQIoQQwqJ5BXkAlt+RApDYIxYHF3uWGxAYKER7EZoY1C46UgD8wjtzYMdBo+d8WNtYk9ovkVWz16ruzWFL2djZEBIfwLYi9XSkQNPmnqp9Rzl78myLn2NtY83NT49ie9FOVrViw0zXkZk0NupYMV2/8Z7AaD98w30omN60Bjm1byLFv6znfP15g89iqNiuUTi5OrJ2ftMoTvqAJIALuSmGSO2TyImqU6r8uZI/Jpstq8o4tMewQpKwXFJIEUIIYdHsHe1w9eygikKKtY01mYNSWDGjiIbzDeY+jhBmEZYYxJ7NFe1ixM033Ieas7UmWWGaNTiVY5XHKSveZfRrW4qI1DC2F+1UVbEoOC4AgN165KQA9B6XR+cwb754bpLBhbfguAA6h3nrvb1HURRyhqaxbuFGzpw4S3r/JM6dqmbLqjKDztEaWq2WLlkRbFrRFDAbEOWLV6AHhXMMz0lJ6RMPQNFc9W3v6fbreM9SGe9pd6SQIoQQwuL5hHhSudvyR3sAcodncOroaTYu32ruowhhFqGJwTQ2NFK+Sb83opbIN9wbgP1GXoEMTRtNNBqlXW/viUwL5ezJcyYZjzKVoNimQoo+gbPQlA9y01Mj2FGy2+D1w4qi0HVEBusWbtR781XO8HQazjdQ+NNaknrGodFqzLIGGSAmO5I9mys4ffzMr2uQkyhZsIG6WsPWIHf0diMkIZCieerLSekc6k14SghLZXtPuyOFFCGEEBbPO9hTFR0pAKn9ErGxs5bxHnHdCksKAmBHSblZz2EMfhGdAeOvQAZwcXcmJjeqXRdSolQYOOsZ0AkHZ3u9c1IAet7cFa9AD75+8QeDu1K6jsyk4XwDK2fo97qIygino7cry6cX4uTqSEx2pNkCWmOyIwHYvHI7AGn9k6g5W8vGZVsMvmZqn0Q2FWzj3Olqo5yxLeWNzmZr4Q4Olqvj3zGiZaSQIoQQwuJ5B3lyeO8RVYzL2Dvakdo3kYLphUbPVRBCDXxCvHBwtmdnOwic9fB3x9rW2mQdFVmDUtlVuqfd5icEdPHDzsGWbSoKnFUUhaBYf7029zSzsrZi7BPD2LKqjHWLDNvIFJEaioe/u97bezQaDVlD0lgzp4S6mjrS+iWxo2Q3xw4afyztWiLTw9BoNWwqaOrMTOwRi7WNVas6ZFL7JtBwvsHg31dz6jY6E4Clk1ea+STCmKSQIoQQwuL5hHjR2NDI4X1HzH2UFskdnkFVxVG2qyxkUQhj0Gg0hCQEskOFwZB/pNFo6BzqZZIVyNC0BhloVUCpJdNaaQlLDlbdz8KgGH/KN+4zqBje9/Z83Du78fWLUwy6t6Io5A7PoHjeer27L3KGp1Nztpa18zeQ1s98a5DtHe0ISwq+0JFi72hHXF50qwopMTlR2DnYqjInxSfYi8i0UJZIIaVdkUKKEEIIi+cd7AmoY3MPQMagZDRajYz3iOtWWGIwu0rLaWiw/C6ya/GL8DFZR4pfRGf8Izu36/GeyNRQdpTsNssGGUMFxQZw6uhpjh86ofdzbexsGPPoUEoXb2LjcsNGWbqOzKS+tp7Vs/ULaE3sHoODiz0F01YTmhhER29Xs433RGdFsHV12YU/94z+yezbut/gvDMbW2sSe8Sa7ftprbwxOWwv2smBnQfNfRRhJFJIEUIIYfHUVkhx6ehMYvcYlk9bLeM94roUmhhEzdlaKneqIyT6anzDfDiw85DJikKZg1IoXbSRs6fOmeT65haRFkZdTb3e4a3mdGFzzwb9x3sA+t/VE1cPF77551SDnh+dHYGHvztT356t198h1jbWZAxMZuXMIhobGkntl0jxvFKzjMXG5kRRW113YWVxWv9fO2RasQY5pU8ClbsOsX+HesKLm3UbJeM97Y0UUoQQQlg8T/9OaLQaKnep501ZzrAMKrZXsndLhbmPIkSbC0sKBmBHifpzUnzDfaivradq31GTXD9rSBrn6xsonqe+kYWW+C1wVj05KUGx/oD+m3ua2TvaMfKhQaz5eR3bDBhr0mq1jHt2DFtXl7Fsin5ZKTnDMjh55DSbVmwjrW8ip4+fZWth2//eR/8aONu8BtkvojM+IV6s+bk1OSlNxRg1jvd4BXrQJTNcxnvaESmkCCGEsHhaKy2eAZ1UlXifPSwNgOXTCs18EiHaXkC0H1or7YVPo9XMN9wHMM3mHmgagXBxd2634z0+IV44d3RS1eYeV48OuHp2MGhzT7PB9/bFydWRb/9pWFZK79vyCIrx5+OnvtFrLCqtXyLWttYUTCskuXc8Go3CGjOsQfbwc8czoNOFQoqiKKT1S2xag1xTZ9A1fcO88Q72VOUaZGja3rOjZLfJMpdE25JCihBCCFVQ0wpkgE6dOxKdFUHBNMlJEdcfG1trAmP82NEONvf4RjQXUkyTbaC10pI+IInCn0pUsZlMX4qiEJEaqqqOFGga7zFkc08zRxcHhj8wgILpa9i9YY/ez9dqtdz5r5s5sOMgsz+c3+LnOTjbk9wrjoLphTi7ORGVGcEac61BzolkU8HWC+NJ6QOSqa2uY/1Sw7JjFEUhtU8CpYs2UV9Xb8yjtomuMt7TrkghRQghhCr4BHtRuUs9hRSAnGHplK3drapOGiGMJTQxqF10pLj7uGHnaEvF9gMmu0fW4FROHT19YctJexOZGkr5pn3UnKs191FaLCjGnz2bKmhsbDT4GsMe6I+9kx3fvDzNoOenD0gmIT+Gr56frFeGTs6wdA7tqWJnaTlpfRPZXrST44dPGnSG1ojJjuLogeMc3tu0cS8hPwZrW2sKf9IvRPf3UvsmUn2mhs0r1Pffiqd/J6KzI1kyeYW5jyKMQAopQgghVME72JMTh09SfbbG3EdpsZzh6QCsmL7GzCcRou2FJQZz/NBJjlYeN/dRWkVRFDqHeZs04DKlTwJW1lpWzmifPysi08NobGhUVWZOUGwANedqOVReZfA1XDo6M3RCP5Z8v4J92/br/XxFUbjrlVs4UXWKya/NaPHzsoakotEoFEwrJK1/EoBZxntimnNSCrYCYOdgS2L3mFblpCT2iEVrpVXt9p78MdnsKt1j0OtBWBYppAghhFCF5s09rflHbVvzDfMhJD6Q5TLeI65D7Slw1i+is8lGe6BpDCSheyyrZhWb7B7mFJnWFDi7XUU5Ka3d3NNsxEODsLGz5rtXphv0/Mi0MPLHZjPljVktLkq6enQgJjeKgumFhCcH09HHjVWz2j6DJzguAHsnOzYWbLvwWFq/JCq2Vxq8BtjRxYHo7AiKVBrO3HVkBoqisGSSjPeonRRShBBCqIJPiBeAqjb3QFOL9cblWzl+6IS5jyJEmwpNCARoF+M9vmHeVO46pFfop76yBqeyb9sB5n+11GT3MBd3Hzc6+XZk65oycx+lxQKj/QBalZMC4ObZgYF/7s38L5caPOb5pxdv5Hz9eb58blKLn5MzNJ3dG/ZycPdhsgalUDS3lLrats0V0Vpp6ZIZzuaVvxVS0gc0dcgUtqJDJrVPIjtKdqvy79VOvu7E5kbJeE87IIUUIYQQqtDckaKmwFmA3BEZ6HQ6Vs5onxs5hLgSxw6O+IR4tY/A2XAfGhsaOWjCjrg+t+eT2D2GV297j5kfzDXZfcwlMi30ipt7Gs43sH7pZj587AvuiP4Lj/d+/kJAqbk4ONvjHeRB+SbDViD/3uhHB6PVavjewK6UzqHeDLq7D3M+XsCeLRUtek7zaGnB9DVkDUml+kwNpYs3GXT/1ojOimT3+j2cO10NNHVqdg7zbl0hpW8CgGq7UrqNzqJ84z72bG79a0uYjxRShBBCqIKrhwt2DraqK6QExwXgE+Il4z3iutReAmf9IjoDpluBDGDvaMdLs58ic3AK70z4iG/+OdXsxQRjikgN48COg5w+fgaAsyfPsvj7Av516zuM9r6TR/KfZdo7P2FtY0XJgg2snb/ezCeGoLgAyls52gNNXQh9/9SduZ8u4sj+owZd4+anR2LnaMcnT33Toq/3DvIkNDGIgumrSewRi52DrVkK+jE5UTQ26ti6+rdupPT+SZQu2khttWHhw2FJwbh6uFCs0kJK15GZKIrC0smrzH0U0QpSSBFCCKEKiqLgHeJJ5W51jfYoikLu8HRKFmzg7Mmz5j6OEG0qLDGYAzsOcuTAMXMfpVV8w70B2L/ddIUUABs7G56Z/Ag9b+nKp09/y8THv2w3xZSo9KaclI+f/JrHev2DkR7jeenGtyiau47MQSn8fdLD/FD1Ce+ufpmO3q5Mfn2mmU8MQTEB7Nt2wCirdsc+MYyGhkYmv2bY9+Xq0YGxTwxjxY9r2Li8ZeuDc4ams3nFds6dqialTzyrZha1+eupS2Y4iqKw6Xc5Ken9k6irqad08WaDrqnRaEjuHU/xvNJWbVUyF3cfN+K6dZHxHpVTZSFFUZSuiqL8V1GUjxRFkVegEEJcJ7yDPVXXkQJN4z3n6xtYPdvwlY9CqFHe2Gysba15/y+fmvsordKhkwuOHRyoMGFHSjMrayse/+w+htzbl8mvz+TNP/+PhoYGk9/X1CJSQ7Gy1jJ74nxOHDrJ6EcG89byF/m+ciKPf3Yf3UZl4ejigI2tNcPuH0DxvFJ2rd9j1jMHx/rTcL6BCiMU0LyDPOl1azdmf/iLwauIR/xlIO6d3fiwhQW2nOHpF0ZLMwelUlVxtM07xBxdHAiOC2Djiq0XHovPi8bW3qZVm4RS+yRyouqUajve8sdks2dzhVFGx4R5tHkhRVGUTxRFOawoysY/PN5PUZRtiqLsUBTlyatdQ6fTLdPpdHcDs4DPTXleIYQQlsM7qKmQorZPaKMywuno48by6YXmPooQbcov3IdbnxnNsh9WUaDi17+iKPhF+Jh0BfLvaTQa7nt3PDf/bSRzPl7AP296u82DQo3NydWRd1e9zBc73mPihjcY//LNxGRHotVqL/naQXf3xs7Rlsmvt3zlrykExTZt7infaJw3uzc+OZy6mnqmvGFYV4qdgy23/WMsW1aVsXzqtcdFL4yWTi8kY2AyiqKYZ7wnO5Ktq8ouFARt7W1J7BHL6p/WGvz3eUqfeACK5qpzvCd3RAYajcLi7wvMfRRhIHN0pHwG9Pv9A4qiaIH/AP2BaOBGRVGiFUWJUxRl1h/+5/m7p94EtGxQUAghhOr5hHhRfaaGk0dOmfsoetFoNOQMTWPNTyUGz4QLoVajHx1MSHwg7973karH23zDfUw+2vN7iqJw+ws38H+vjWPp5JU8M/QVqs/WtNn9TSEsKfjCBrarcXZzov/4niz6toCqCsMyRYzBP6ozWistuzcYpzPGL6IzeWOzmfH+XE4dO23QNfrclk9gtB8fP/XNNbdIKYpC9tA01i3YgI29DV0yw1lphjXI0dmRnDtdfVFBKr1/MpW7DrFv2wGDrtnR242QhECK5q0z1jHblJuXK/H5MSydvFJ1Hw6JJm1eSNHpdEuBPw7KpgM7dDrdLp1OVwd8BwzV6XQbdDrdoD/87zCAoigBwEmdTmfYTyEhhBCqo9bNPdD06VPNuVqK55k/QFGItmRlbcXDE+/m+METTHzia3Mfx2C+YT4c3nuEupq6Nr3vqIcH88hH91Ayfz1P9n2RMyfUW4zSx4i/DESn0zH9nZ/MdgZrG2v8InyMOn5x45PDqT5Tw+z/zTfo+VorLXf+6xb2l1Xy08QF1/z6riMzqa87z3cvTyNrcCplxbvavDgVkxMJcFFOSsbAZIBWjbym9U1kU8G2CxuB1CZvdDb7th1gtxECjUXbs5SMFF/g9z+hKn597GrGA1ccuFUU5c+KohQpilJUVWW6VXVCCCHajo+KCynxedE4uzmyfLps7xHXn8i0MIY/OJDZH/7C+qWGBUyam2+4DzqdjspdbR943e+OHvztu4fYvmYHj3R/luOHTrT5Gdqad5An3UZnMevDXzh76pzZzhEU62+00R6AkPhAknvHM/29OQaH2GYMTCauWxe+fH7yNYsI0VkR9B/fk+9emU7D+abRmlWzig26r6G8gzzp6OPG5pW/FVK8Aj0Ijgtg9WzDz5LaN5GG8w2sW7jx2l9sgXJHpKPRavj5k4XmPoowgKUUUvSm0+me1el0Vwya1el0H+p0ulSdTpfq4eHRlkcTQghhIs0dKZW71FdIsbK2InNwKqtmFF2zHVuI9ui258fiHezJm3/+b5t3dRiDX4QPAPvLDprl/t1GZfHCzL+yb+sBPn92klnO0NZGPTyYc6eqW9R5YSrBsYFU7jpE9RnjdT2MengwxyqPs+hbw/IxFEXhz6/eyonDJ5n82tVzZBRF4YH37yS5dzxfPv8D7j6urJzZtuM9iqIQkx3BpoKtFz2eMSCZjcu3GtxlFZMTiZ2jLUVz1Tne4+rRgT7j8pj5wVwqths24iTMx1IKKfsB/9/9f79fHxNCCCEusHeyx9XDhYMqW4HcLGdYOqePn2X90patrhSiPbF3tOMv//0zFdsr+frFKeY+jt58w5sKKeZ8w5PaJ4HMQcmsnl18XeQqRKaGkpAfw7S3Z5utAB0U2/QWZc/mCqNdM7VPAkGx/vzwxkyD/xyj0sPpOiqTqW/NvmZh0sraimcmPYx/VGdOHj1DyS/rjVoYaomY7CgOllddtAo9Y1AKDecbKJ5nWGCstY01id1jKTLw+ZbgTy/diI2dDf99RPanqI2lFFLWAOGKogQrimID3ACYN6ZbCCGERfIO9uRgufo6UgBS+iRg52Dbom0LQrRHKb0T6H1bHt+/+qPZV9vqy8nVkQ6dnNnfBiuQrya9fzJH9h+7bnIVRj86hKqKoyz+/oqN6CbVXEgx5niPoiiMfGgwuzfsZe18w3Oz+t7enXOnq1m3aNM1v9axgyMvzfor9k52nD/fwOLvVxp8X0M056RsXvHbeE+XzHCcOzqxqhXjPSl9EqjcdajNNmoZW0dvN255ZjSrZ6+lsBXroEXbM8f642+BlUCkoigViqKM1+l054H7gLnAFmCSTqe79k8EIYQQ1x3vEC9VjvZA0+rKtP6JFEwvpLGx0dzHEcIs7n7tNpzdHHnjrg8urENVC9+IzuzfYZ7RnmZp/ZOA1oV0qklav0QCo/2Y/PoMs3Th+IR4YWtvY/TCVY+bcuno7coPBq5CBkjqEYudoy0rflzToq/3DPDgpdl/BeCjJ79q0y1QoYlB2NhZXxQ4q9VqSe+fxJo5JQb/LEjtmwjAlDdns2buOrYWlrF/RyWnjp5Wzc+XYff3wz+yMx889KnBuTmi7Zlja8+NOp3OR6fTWet0Oj+dTvfxr4//pNPpInQ6XahOp3uprc8lhBBCHbyDPDm894hq/oH0RznDMjhWeZytq8vMfRQhzMLF3Zl7376DbWt28uO7P5v7OHrxDfc2e5aBu48b4cnBFM65PgopGo2GUQ8PZlfpnlZ1b7Tm/oEx/pRvMm4hxcbWmiET+lE0t5TdGw27to2dDWn9Elk5s6jFxfkuGRHEd+vCqaOnefnmt9vs71JrG2si08PYtOIPOSkDUzh55DTbCncYdF3fMG+CYv2Z+cFcnur/EvdnPsXtEQ8w0uMO+lnfwPCOt3Nr6ATuTXuC1+543yI/xLC2sebuN26nYnsl01X2M/F6ZimjPUIIIUSL+AR70nC+gSMVx679xRYoY2AyGq2Gwp+khVdcv/LHZpMxMJlPn/6WShVlHvmG+XD0wPE2/ST/ctL7J7N5xTZOHz9j1nO0lR43d6WjtyuTXze8e6M1jL25p9ngu/tga2/DlDdmGXyNrCFpHKs8zvainS2/7z19AVg5o4gPH/3S4HvrKyY7ih0l5dScq73wWGrfBDRajcEdVoqi8O6ql/lo05u8tfxFXpjxJI9/fh/3vHk7tz4zml63dCMmJxJrW2vmfraIzSu3G+vbMar0/klkDEzmqxcmXxdbudoDKaQIIYRQFe8QLwCzrCA1BidXR6LSw1i7oO0/WRXCUjRtErkLRaPw9j0TVROc6hfRGYADZh7vSR+QRGOjzuCQTrWxsbVm2P0DKJ5XapZsneDYAI4dPMHJI6eMel0Xd2f63N6dhd8s49jB4wZdo7k439LxHmgal9JaaQlPCWHq27OZ/t4cg+6tr5jsSBrON7BtzW/dJ85uTsTkRLYqJ8XOwZbALn7EZEeSOSiF3rfmMeLBgYx7bgwT3rmDJ794gJfn/A0bO2sWfbvcGN+KSdz9xu3UVdfxyVPfmPsoogWkkCKEEEJVfH5dgXxwtzpzUgCSesaxrXAHZ08atvJRiPbA078T41++meJ5pcz/aqm5j9MivuHeAFRsN2+wZWR6GC7uztdVOOWgu3tj52jL5Nfbfh9FUGwAYNzA2WYjHxrI+foGfnzPsJEOl47OxHXtwsoZLV9p7NjBkYT8aKrP1JA9NI0P/vIpq2YZXshoqejsCICLclIAMgemsKt0D4f3HTHZvR2c7ckcnMrSyStpOG+Zo8F+4T6MeHAgcz9bzDY9OoyEeUghRQghhKp4+Luj0WpUXUhJ7hVPY6OO0sWbzX0UIcxq8D19iM6K4IOHPuP44ZPmPs41+YY1FVLMvblHq9WS1i+RNXNKLDLzwRSc3ZzoP74ni74toKriaJveOzQhEIAtq4w/FuIb5kP20FRm/neewSNj2UPSKN+0T6/NNZmDUqnYdoBxz40hLDmEl254k7K1uwy6f0u5dHQmoIsvm1deXEjJGJgMYPKR1+435HCi6hRrF2ww6X1a46anR+Lq6cL7D36imk6965UUUoQQQqiKlbUVnv7uqspV+KMumeHYOdpS/Mv10ZYvxJVoNBoenng3NWdqeGXcuxb7SXEzeyd73Du7WcSq1fT+SZyoOqVXNobajfjLQHSNjUx7e3ab3tfNy5XItFCWTzPN6vpRjwzh9LEzzPtssUHPzxqaCsCKH1velZI5OAWAkgUbeGHGEzh3dOLtez406P76iM6KZPOKbRcVAAO6+OEd7MnqVoz3tER6/yQcOziw6DvLHe9xdHFg/Ms3s3nldhZ8vczcxxFXIYUUIYQQquMd7KnqjhRrG2vi86IpseBPxYRoK4HR/tz37niK55Xy8V+/Nvdxrsk33Mfsoz3QtPZVUZTrKrjaO8iTbqOzmP3h/DYfjcwdkcm2NTs5vLfK6NeOyY4kKiOcqW/NMmiLjk+wF8FxAayc0fKclAvPmVlER283Rj86hG1rdrKztFzv++sjJieK08fPsm/r/guPKYpCxoBkShZsoLa69irPbh0bOxtyh2dQMLXQpPdprd7j8ohKD2PiE19x7nS1uY8jrkAKKUIIIVTHO9hL1YUUgOSe8ezbdsCkM+FCqMWAu3ox5N6+TH59psXnpfiG+XDAzKM90BRU2iUz/LpZg9xs1CNDOHe6mp8+Wtim9+06MgOA5VMLjX5tRVEY9fBgDuw8pFfWye9lD0ljU8FWvQJxswansnH5Vk4dPU3PW7pibWvNzx+b9vc1NicSgE0rLh6TyhiUQm11HesWbTLp/XvclMu509UWXYDUaDTc+/YdHKs8zrf/nGru44grkEKKEEII1fEO9uTYwRMXrVBUm+RecQCsnS9dKUIAMFfCAwAAIABJREFU3PPm7STkx/DGXf+9aKuHpfEN9+FE1SnOnDB/WHR6/2S2rdl5Xa1LjUwNJSE/hmlvz+Z8/fk2u69vmA8h8YEsnbLSJNfPHZ6Od5AHP7xh2Irn7GFpNDbq9AqNzRqSSmNDI4VzSnDp6EzuiHTmf7XUpN0avuE+dOjkzKYVWy96PCEvGjtHW4PXILdUQvcY3Lw6sNCCt/cAdMkIp/e4PKa8OcsiRgnFpaSQIoQQQnWaN/ccKldvV0pQbABuXh0okTXIQgBN+Ud/n/Qw7j6uPDv8VY5WGrYO1tT8InwA8wfOwm8hnWt+Xmfmk7St0Y8MpqriKEsnm6aocSW5IzLYvGK7SV6bWistwx8cyKaCbWxZXab388OTQ/Dwc9drvCciNZSO3q6snNnUBdN/fE/OnDhLwTTjd900UxSF6OzISzb32NjZkNwrntWzi00asqrVaskbnc3q2WstfnPe+JdvxsrGiv89+oW5jyIuQwopQgghVMc7xAtQ9wpkRVFI7hXP2vkbJJlfiF916OTCP6Y/wdkT53h+1GvU1dab+0iX8A23nEJKaGIQHX3crrvxnrT+SfiG+zD9vTltet+uIzPR6XQmKzT0u6MHjh0cDOpKURSFzMGpFM9b3+KOEo1GQ8bAFIp+Xkd9XT0J+TH4hHgx5+MFet9fHzHZUewvq+RE1cWbujIGpnB47xHKN+416f2735RLfW09BdNbXnQyB3cfN27620hWziiiaJ6E01saKaQIIYRQneaOlAM71bu5ByCpZxwnDp80+T8ahVCTkPhAHv/8Pjav3M4790y0uEJj51AvFEVhf9lBcx8FRVFI75dI0dxSi994ZEwajYahE/qxZVVZm46BBUb74R/5/+zdZ1xUd/o28OtMoUpT6VgoQ4eBGTqoIEWN3TQTs6bupmySTbIpm+efzW52ky3J7ibZZGPapvdi7LF3FJWugBQVASt2pJd5XiBsrGHqmTNe388nLzIO59zqKM49v/u6/bBlYYFZru/k4oipv8rF1u8LDNpMlzYzER1tnXqNjKbOSEBbSzvKN1VCJpNh8j0TUbqhwqzjJFFpoQCAyktyUpJuiAcAs4/3RCSr4BPoZfXjPUD/piq/EB8sePzD6+rPuBSwkUJERJLj7uWG4T7uqCyo+fknW7H47P6clKI1HO8h+qlxN6Zg3nM3YtVHG7DoDcueOvg5dg528Bo9Ek21h8UuBQCQdIMGrWfbULld2n8f6ivvrkw4DnOw6KkUQRCQMScZ5Zsq9Qp11cesR6ZAkMnww+sr9P5adWYknFwdsW3x0E9axGfHwN7RbjDkNu+uTMhkAlZ+sEHv+w9VaEIwFEo5KvIvzkkZ6TccKk0gCsy8BlkQBGTNTUfJut1Wny9kZ6/EfX+7Aw1Vh7D+C+tv/FxP2EghIiLJEQQBmtxYFK8pR19fn9jlGMxr1EiMCvNDMdcgE11m/h9vQdrMRLz924+t7s+Iv8rHKkZ7gP7garlCjp0rrq/xHmdXJ+TdmYmNX+Vb9M3w+JtS0dfbp1ezQh+eASOQOTcNKz9Yr3egsdJOiaQp8ShYVjTkNcoOTvbQ5MZi+9JC6HQ6jPQbjqSpGqz+aIPZTkDYOdhBpQ3CjhXFOHeq5aIfS56qRdX2Gpw72XKVrzaNrNsy0Nfbh00WztkxRMbsJKg0gfjkhW8sGrBM18ZGChERSVJCXhzOnWxBbfEBsUsxiiYnFrs3VaK7y/qyIIjEJJPJ8Mwnj2B0uD9evPVfOLLfekb5/EN8caj2qFWMHTm7OSNmXDh2XGeNFACY+fBk9HT3Yvm7ay12z+C4sfAJ9MKWhTvMdo+bnpiO9vMd+NGAVcSpMxJx5vhZ7N0x9JGn1OkJON5wAvvLDwLoD509dfSMWV9Tsx6egqaaI/hV7G8vyv9InqpBX5/O7AHKgdGjMTZ6FDZ8lW/W+5iCIAi468+34eiB41j1oflOCpF+2EghIiJJ0uTGAgCKJB7ApsmJRUdbJ6oK9N/SQGTrnFwc8cKipwGdDs/P+jvaWtrFLgkAEBDqh/NnWs023qGvpCkaHNjdgOONJ8QuxaJGhfkjYZIaS99ebbFmtCAIGDcnGSVry822AjskLhDBcWOxc4X+Iy5JU+IhV8j1OjGTMk0LQRAGx3uSb9BguK+HWUNnJ94+Dv/e/hKc3Zzw7OQX8cbD76O9tQOhCcFw93Iz+3gPAEy8bRwqt1XjqAQ2ACZOjkNkWhg+f/F7dHV0iV0OgY0UIiKSKA8vN4TEB6JwtbTXfqozIyGTCShmTgrRFfkF++C5r59AQ2UTXn/wXbHLAdA/2gPAKgJngf+FdO76sUTkSixv1iM34NSR09i60Hwrey+VcWMKerp7B9cGm4MmOwYV+dXoaBvaBp4Bw9ydoc6M1GsNsoe3OyJSQ7H+y63Q6XSQK+TIuzMTO5cX48Shk/qWPmSh2mC8Vfh33PjYVCx5axUe1DyN6l37kHyDBoUrS80erpo5Nw0AsFEip1Lu/vNcNDedtOgJLLo6NlKIiEiytLmxqNxWYzWfUhvC2c0ZYUkhKF7HRgrR1WhyYjHjocnY/O32Ia92NSdrWoEMAKMjAuA9xhM7r8NGSuLkOPiF+GDRG/qHsxoqPCkEI/2HY6sZx3vic2LR3dWDPVv3/vyTL5E6IxGN1YfRWH1oyF8z9Zc5aNx7CGUbKwAAk+/JQl+fDqs/3qT3/fVh72iPB/51F15Z9wd0dXThsYzn0NbSjvNnWlGxrdqs9/YN9EZkaqgkxnsAIC4rGnETo/HlXxeivbVD7HKue2ykEBGRZCVMikNvTy9KN+wRuxSjaHJiUb2zDq1nzXNMnMgWxOfEoKe7FzWF+8UuBT6BXpDJZWiqsY7NPYIgIGlKPIrXlqOr8/rKWxpYhVy5vQbVhfssds+M2ckoXFWK9vPmaeRHZ4RDaadAyVr9m+xpMxIAANsWD/3EzIRbUuEyfBiWvLUSQH8OUFxWFFZ+sN4ioe5xWdF4r/yfyJ43Dlu+718vvfrjjWa/b9bcDOwvP4j6ikaz38sU7vrTXJw+dhaL31wpdinXPTZSiIhIsiLTwuDgZG8TOSl9fTqUbawUuxQiqxWVFgYABn1Cb2oKpQI+gV44VGcdoz1Af0hnR2sndm++/v4emXRXJhyc7bHYgquQM25MRldHN3auMM8pIEdnB0SmhRm0scprtCdC4gOxTY/xHntHe0y5ZyLyF+0aHOeZcm82juw/NnhKxdyc3Zzx9EcP4/nvnoRCKceqjzZg4WvLzRrqPOGWVMhkAjZ8KY3VwlFpYUi6IR7fvLyIH76IjI0UIiKSLDt7JdRZURcl/ktRRIqqvyG0Rto/DyJzchvpitER/tiTXyV2KQD6x3usZbQHANRZ0VDaK4f8xn7HimL8MuYJ1JVKe/MZ0P8GfHAV8vGzFrlndEY43L3csGVhgdnuEZ8dg7qSAwaFGqfNSETV9hq9VkNPeyAPuj7dYAZHxpxkuHg4mzV09krGzUnGvP+7EdABC574yKwbfDy83RGXHYMNX+VbxRauobjzhVvRcroVC1+z3DgbXY6NFCIikjRtrhqH645a1WpUfSntlIiZEIkSAz55JLqeRKeHoyK/2iKjBj/HP8QHh2qPWM2bLwcne8RlRWHnjz+/snbxf1bi+Rl/Q31FIzZ8KY18iJ8z8+Ep6O7qwQoLBXHK5XKkz0zEjuXFZsvtic+OAQCUrtd/fDV1ZgJ0Oh0Klg19+41vkDcSp8RhxXtr0dPdAzsHO0y8fRy2LtyJc6da9K7BGFm3ZwAA7B3tsPFr875Gs+Zm4Mj+Y9i7c+gro8UUqg1GxpxkfPfqUpw7adnfF/ofNlKIiEjSEiapAUDyp1K0ObForD583a0vJdJHdEYEWs+24aAV5BkEhPqho7UTJ4+cFruUQUlTNGiqOYJDdVc+KdPb24v//OYDvPnIf5E0VYPwZBWKDcjgsEajw/2hzVNj6dur0NPdY5F7ZtyYgo7WThStNs+vYVhCMJxcHQ1qsgerx8J7jKde4z0AMOPBSTh19Azyf+jfgjTlvmx0d3Zj/eeWHX3xD/FFQKgvhnk4I3/RTrNm/4ybkwSlvVIy4z0AMP+Pt6C9pQPf/mOJ2KVct9hIISIiSQsI9YPX6JEokvgaZE1O/yePxWt5KoXoaqIzwgFYR06KtW3uAfpzUgBg14+X/33Yfr4df5z9Cha98SNufGwq/rjwKaRM1Ro8OmKNZj8yBScPnzbrNp2fisuKgouHs9nGe+QKOeKyog3KSREEAakzElC8plyvDS8Jk+PgE+iFJQtWAehvyIQmBGPF+2stfvoqeaoWZ46fRdu5drNmoTm7OSPphnhs+mYbenvNu3LZVAKjRyPrtnQseuNHvca3yHTYSCEiIkkTBAEJeWqUrN9jsU8hzWFs9Gi4e7mhhGuQia7KJ9ALw309sCffGhopPgCAQ7XWEzjrG+SNUWF+2LHi4nGO5qaTeHz889i5ohiP/uc+PPCvuyCXy6HJjQUAmxkrTJwSD79gbyyyUOisQqlA6sxEbF9SiO4u85yYiM+OwZH9xwwaX02bmYiujm4Urxn69xW5XI5p9+ehfFMlDuxpANAfOntgdwNqLLQVaUD6rCT09vTB3tEOm7/bbtZ7Zc3NwKmjZyQV+v6L529GV2c3vvrbIrFLuS6xkUJERJKnzVOj7Vw79u6oFbsUgwmCAE1ODIrX7raazAUiayMIAqIzwq3iRIrX6JFQ2ilwyEpWIA9ImhKPso2Vg6cQaov345GUZ3Fk3zG8uOxZTH9w0uBzQ7VBcHZzspmTcP2rkKegIr8atcWWWZM9bk4KWs+2oWSd/jkmQ6HJMbzZFTMuAsPcnfUe75l8TxaU9kosXbAaAJB1WzocnOzx4/uWDZ2NzghH2sxEdHf1IP+Hnejq6DLbvVKmaeA4zEFS4z0BoX7Imz8BS99ejeamk2KXc91hI4WIiCQvPjsGMpkg+ZyU+OxYnDl+FvUXPgUkostFp4fjeMMJHG9oFrUOuVwO32Dvq+aRiCXpBg26O7tRtqEC25bswhPjn4dcIcdrW/+MxMnxFz1XrpAjbmI0iteW20wDd9Ld/auQLXUqRZMbCycXR2z53jzjPaPC/DDSfziKDTitqFAqkDxVgx3LivQaWXEb6YrMW9Ow9tNNaD3XBmdXJ4y/JRXrv9yK9vPtetdhKEEQ8PAb90Jpp0D7+Q4UrjLf93h7R3ukz07Clu8LzJrHYmrzfn8TdH19+OKl78Uu5brDRgoREUmei8cwhCWFmHWG2hIGclKK9DiGTXS9GcxJya8WuZKBFcjWM9oDANHjIuDgbI/3nvkUf5z9CsZEBeCNgr8gMGbMFZ+vzYnFsYPNOFRnXT8PQzm7OSN3fiY2fJmPM83mX4VsZ69E8jQNti3ehd4e0+drCIKA+OwYlKzbY9C2qtQZiTh7ogW7N+u3NnzGQ5PQfr4D6z7bAqB/vKf9fAc2fWu+dc9X4hkwAvf8dR4A4OtXFpv1XhNvy0Dr2Tbs+nFoK8Stgc9YL0y5Lwc//nc9jhyQ7vZCKWIjhYiIbEJCXhyqd+2z+IpGU/IaNRKjwvwMChYkul4ExY6B4zAHqxjvCVD54lDdUatYxzzAzl4JbW4sGqoOIWNOEv6x4QUM9/G46vPjB0ZHbGR7DwDMfHgyuju7seI9y4yijJuTgnMnW1C+2Tz5GvHZMTh3sgX7yw/q/bVJN8TDZfgwLHpjhV5fF5YYApU2CEveWgmdToeotDCMCvfHj/+17HgPAMx6eDLcPV1Rub3arJvt4rNj4O7pinVfbDHbPczh9v+bA7lChs/+/J3YpVxX2EghIiKboM1TQ6fToUTis/7x2THYvanSbMGFRFInV8gRkRqKCqsInPVFd2c3mhutK5/gnr/Mw+PvPoDnvn4CDk7213yuf4gPvMd4osiGGiljIgKgyY3F0gWWWYWcMDkO9o522PK9ebYFxWf3n1Y05Pubo7MDZjw0CdsWF6Jh76Ehf50gCJjx0GQcrGxC+eZKCIKAyXdnoXJbtcXH6mQyGe7881xAB/x9/htmu49CqUDmrekoWFqE82dazXYfUxvpNxzTH5yEtZ9sQpMVbRGzdWykEBGRTQhPCoGzm5Pkc1I0ObHoaOtEVYF0g3OJzC06PRwHdjeI/mbHGlcgA8DocH/ccF82ZLKf/6f+wOhI6fo9kln9OhSzHp6CE4dOIX+RfkGrhnB0dkDilHjk/7DDLKeTRvoNx5jIAINyUgBg1iNToLRX4Nt/LNHr6zJvTYOLhzOWvNW/ClmdFQ0Aonx/mnx3Fuwc7VC+qdKs3+dzfjEe3Z3dZsu8MZebnpiGvj4dti8pFLuU6wYbKUREZBPkCjk0OTEoWl0m6dDEuKwoyGSCXusqia430Rnh0Ol0qNxeI2odAWF+AICGqqF/0m+NtLmxaD3bhppCy2y6sYSkG+LhGTACG7/Ot8j9xs1JxqmjZ1C5zTzZPfHZMdi9ucqgIFR3TzdMunsi1n22GScOnxry1zk42WPS3ROR/8NOnDh8CkGxo2HnoESVCBvyFEoFsm5NgyAIeO3+dwa3UplaaEIwAkJ9se5zaY33jPQfAb8QH1Tk65eFQ4ZjI4WIiGyGNleN5qaTeh1ftjbObs4ISwox+JNHoutBeLIKMrkMe7aK+6ZhhK8H3D1dUVsi7QZE3MT+kwa21MCVy+WITAtFnYXWICdP00JppzDbeI8mJxad7V2oMrB5ePNvp6O3pxc/vK5fVsq0B3LR29OLH99bB6WdEiptkCiNFADInJsBnU6HYweb8ekfvzHLPQRBQPa88SjbWCH6ZjB9DayGl/KHSVLCRgoREdkMbZ4aAFBkxhWJlqDJjkX1zjq0npXOjDaRJTk6O0ClCcQekXNSBEGAShuE2iJpN1LcPd0QEh9ocw1clSYYR+ubLRJC7uzqhORpWvz433U4vM/0G5BiJ0RCJpeh2MAsG98gb4y/ORXL3lmt1/cW/xBfJE6Ow/L31qCnuwfhSSrUFu0XJccrLisKriNc4Bvsje9fXYZaMzXJsueNAwCs/2KrWa5vLjEZETh7ogWN1YfFLuW6wEYKERHZDJ+xXggI9UXhGmk3UuJzYtDXp0PZRvNsgCCyBdHp4ajeWWfQqIMpqTRBOFjZhM72TlHrMJYmJxaV26rRfr5d7FJMRqUJBADUFR+wyP0e+OedkMll+Pv8N0y+CtnZ1QnhSSFGbXW75amZaDvXjmXvrNXr66Y/OAknD5/GtsW7EJESiu7ObuwvbzC4DkMplApkzE7C6WNn4ebpin/98m2zrJz2DfJGZFoY1n62WVKnOwZXw1vBRrPrARspRERkUxLy4lC+sQJdHV1il2KwyNRQODjZo0jiDSEic4rKiEBXR7fFRjeuJjQhGH29fdhXpv9qWmuiyYlBT3cvdm+xnTdhIfH9jZRaCzVSvMd44tG3fonK7TX44qWFJr9+fHYManYZflpRpQmCJicGC19frlcDMumGeHiP8cTSBasQkaICAFQViJNPNP7mVHSc70D2HeNRV3IAC19bbpb75Mwbh4OVTdhXVm+W65uDv8oX7l5uoo88Xi/YSCEiIpuizVOjs70Le/LNE/hnCUo7JWImRKLIhvIKiEwtOj0MgPifvqq0QQCAmsJ9otZhrOiMcCjtlSi2oQau6wgX+Iz1RJ0FM2wm3paB7Hnj8NmL36HSxM0GTU6s0acVb316Fk4dOY11n20e8tfI5XJMuz8XpRsq0HauDcN9PbBXpJyUuKxouI5wwYmmk0iZrsXHf/gaR/YfM/l9JtySBrlCjnWfSSd0VhCEwZwUMj82UoiIyKaoMyOhUMpRtKpU7FKMkpCnxqHaI2b5ByKRLfDwdoe/ylf0nBTPgBH9gbMin4wxlr2jPaIzwo0aHbFGIZog1Fg4w+aRN++FZ8AI/O2Of6OtxXSjUhEpKjg42euVk3Km+Sz+ee9baG46CaD/VEtIfCC+/ccSvVY1T753IpR2Cix7ew0iUlSiBc7KFXKMm5OMgmVFuP8f8yGTy/D6Q++ZfATHdYQLkm6Ix/ovt0pqLXh0ejiO7D+m13YmMgwbKUREZFMchzkiKj1c8jkpiZPjAACFEm8IEZlTTEY4KvKr9XpDaGq2EjgL9J94OLC7AaeOnha7FJMJiQ/E4bqjFg3vdnZzxjOfPIJj9cfx1m8+NNl1B04rDrXZ1dvbi7/94g2s/HADti7s3yYkCAJueWomGqsPY/uSwiHf293TDeNvScWaTzZBpQnC4bqjOHvinEE/D2ONvyUNHa2dOLC7Eff85XYUrS7D2k+HfsJmqHLuGI9TR06jbEOFya9tLgM5KRU8lWJ2bKQQEZHNSchTY3/ZQUm/GQgI9YPPWE8UrpZ2Q4jInKIyInDupPhbKmwlcFabGwsAKF5rO6dSQi+MXtWV1lv0vjHjIjD3d7Ox6qMN2PzddpNdN35iDBr3Hho8YXItX7y4EEWryyCTyy5a0T3+phT4BHrh65cX6XWSI/OWdLS1tMPJ1REARBvvUU+IhNtIF2z+dhumP5iH6Ixw/Puh97C/3LQ5RSnTtHBydcTaz03fpDGXkPhAODjbc7zHAthIISIimzO4BlnCGSOCICBhUhxK1u0WZc0kkRRYy6evKm2QTQTOBseNhesIF5tagzwYOCvCiaFf/OFmhCUG47X73xlS42MoNDkxAICSnzmVUri6DJ/+6Vvkzp+AhEnqi37+coUcNz0xHVUFtajQYzQuPDkEANB2rh0ymSDqeE/GnBQULCtCd2cPnvv6CTi5OeEPs1826aprOwc7jL8pFVu/34GONmk0SeUKOSJSQkUfebwesJFCREQ2JzhuLNw9XVEk8dMciZPj0X6+A5XbxNmOQGTt/EN84O7lht0ib6kYOPUg9fEemUyG+OxoFK8pl9Ta12vx8HbHSP/hqCuxzOaen1IoFfjdp4+iu7MHr9z9H5OMoAXGjIa7pytK1l+9kXK88QT+Ou91jIkKwCP/uQ8qTRAaKpsuagZMujsLbiNd8PXLi4d8b3dPN/gFe2Nf6QEExo4RrZECABNuSUVHayd2/ViCEb4e+MP3T+LkoVN46bbXTLoSOeeO8Wg/34Fti3eZ7JrmFp0ejv1l9Wg91yZ2KTaNjRQiIrI5MpkMmtxYFK0pFzU7wVjqrCjIFXLsWlkidilEVslatlR4jhoJt5Eukm+kAIAmOxYnD59Gw95DYpdiMiptkGhhwAGhfnjwtbtRsm43vn/V+FW9MpkMcdkxKF67+4rNru6ubrw091V0d3bj+W9/C0dnB6g0Qejr0100+uLgZI+ZD09BwbIi1Fc0Dvn+4ckqVBXUIjxJhb07akX7Hhs7PhLunq7Y9O02AEBkSigefeuXKF5Tjg/+3xcmu0/M+Ah4BozAOgmN90RnhKOvT4fK7fwQxpzYSCEiIpuUkBeHM8fPYr+Ej9o7uzohKj0Muxg4S3RV0enhOHrgOE4cMs3ohCEGA2clvrkHADQDOSkSHo28lCo+CI17D6P9vOk26Ohjyr0TkT4rER/+3xfYV1Zv9PU02TE4deQ0GqqaLvux95/5HJXba/Db9x/EqDB/AP9b0X1po2/mryfDwcke3/xj6KdSIpJDceLQKQSE+aLtXLto+UT94z3J2LGsePCkzeR7JmLGQ5PwzT+WYP2XW01yH5lMhom3Z6BwVRlOHz9rkmuaW0SKCjK5TPSRR1vHRgoREdmkgTcDUg9rTZwUh/1lB3HyiHSDc4nMaTAnJb9a1DpCtcGor2iUfOCsz1gv+IX46LVi19qFaAKh0+lEy7ARBAGPv/sAXEa44K/zXjf6NRKf3Z+Tcmko8ObvtmPh68sx65EpmHBL2uDjAyu66y5p9LmOcMHkeydi/edbh5zhMpCTIpf3v42sKhBzvCcNHW2d2LmiePCxB1+9CzHjIvCv+xaYbJwr+47x6Ovtw6avt5nkeubmOMwRIfGBoo882jo2UoiIyCaN8PVAUOwYrP5oAzZ+nY+W0+fFLskgCRfWIEs974XIXILjxsLBSfwtFbYSOAv0n3go21iBnu4esUsxCZWmP3C2rtjyOSkD3Ea64qkPf42DlU14/5nPjbqWz1gv+AV7XxQK3FRzGP+8dwHCk1X41Su/uOj5giAgRBOImiucmLrpienQ6XT4/tVlQ7p3cNxYKO2VON5wAs5uTthbIN74SMz4CLh7uWHTt//biqRQKvD7b56A6wgX/GH2yzjTbPwpksDo0QiOGyut8Z70cOzdUcuwejNiI4WIiGzW3N/Nxpnmc3jpttdwk+c9+E3Gc/j8xe9RW7xfMtkpweqxGO7jzvEeoqtQKBUIT1GJvqXCVgJnAUCTq0b7+Q7R1tua2gi/4fDwdrtoBbAYEvLUmP3oDVj05o84WDn0XJIric+ORfnGSvR096CjrRN/uvmfUNgp8PuvH4fSTnnZ81WaIBysaEJXR9dFj3uP8UTW3HSseG/tkD5wUNopERI/FtW79vXnpewU7zUil8sxbk4ydiwrQntrx+DjHt7u+MPCp3D62Fm8NPdVkzQEs+eNx96ddWiqEXfV+lBFj4tAV0c3akVsHto6NlKIiMhmZc1Nx7fH3sfr+S/itv83Bz1dPfjo+a/wUMIzmOv/K7x895tWf1pFEARo89QoWl2G3l7TbSIgsiXWsKXClgJn47KiIJMJl42OSFX/iYwgq/i9uem30wEAu1Ya1xzX5MSgraUd1bv24d+/fg/1exrxu08fgddozys+X6UNRm9PLw7sbrjsx255aibaz3dg6YLVQ7p3RHIoagr3ISwxGPW7G0TLngH6x3s627uwc8XFoexhCcF4/J37UbqhAu8+9anR98m6LR2CIGDd51uMvpYlRKeHAQD2bOF4j7mwkUJERDZNLpcjMjUMd/1pLv6z82/45uj7ePrjh6HOikbB0qLB0yrWnKWSMCkOLafOo6ZQ/DcBRNZoYEuFmHltBBvRAAAgAElEQVQNthQ46+IxDKEJwSiyoZwUVXwgDlY2iZ5h4zVqJEaF+6NojXHfc+KyoiEIAt585L9Y8/EmzHvuRiROjr/q8wfGm2qu0EwKih2DxMlx+OHfKy47sXIlESkqdLZ3wd3TDX19OlG/N0WPC8dwXw989PsvL8sSy50/AXN+MxU//HsFVn+80aj7jPQbjvjsaKz7fIskVoN7eLvDX+Ur+kk9W8ZGChERXVc8vNyQ+4sJ+L8vHrvotMrAsXxrpM2NhSAIKOR4D9EVRaSEQiYTsEfkcEWVJsgmAmeB/kDTvTtqRT3lY0oDGTZXOpFhadrcWJRvqhxS0+JqXEe4IEQTiLqSA9DkxOCO52+65vO9x3jCZfiwywJnB9z69CycOX4Wqz/e9LP3Dk9WAQC6O/vzN6pEHAGTy+V47qvHceLQKTyV/cJlzZRfvfILxE2MxmsPvIvqXXVG3St73ngc2X9MMmuFYzLCUZFfLZlRZqlhI4WIiK5bPz2t4jrCRexyrsptpCvCEoPZSCG6CicXRwTHjUWFyJ++qrTB6Ovtw/5y8d+sG0ubq0Zfbx/KNlaIXYpJqDTWk2GTkKdGV0c39hi5aWrCzWnwDfLG7z77DeRy+TWfKwgCVJrAq56Yip0QibDEYHz7zyU/O0bqPcYTHt5uqK9ohL/KF3t3iNtYiBkXgZeW/z80N57AU9kv4NTR/zVT5Ir+RstwH3e8cNM/jGpepc9Ogr2jHdZ9Jo3Q2aiMCJw72YLGvYfELsUmsZFCREQkAQmT4rB3Ry3OnWoRuxQiqxSVHo6qglpRN83YUuBsRGooHJzsUbzGNsZ7vEaPhMvwYVYRvhk7IRIKpdzobWy3Pj0TH9e+AQ8vtyE9X6UJwoHdDejqvHyTiyAIuPXpWThcdxT5P+y85nUEQUB4sgp7d9QiPDkEVQW1oo+7xI6PHGymPDnx4maK20hXPPbO/WhuPInN3xUYfA9nVyekzkzExm+2SWIbzsBqeLE3mtkqNlKIiIgkIGFSHPr6dCixkfBHIlOLzohAZ3sX6krEe6PsNXogcHafaDWYip29EjHjI1C8zjb+zhnIsKkTeXMPADgOc0RkWpjROSlA/89rqFTaYPR09+JgxZU3BqXNSoS/yhffvLL4ZxsjEcmhaKw+jMCY0Th19AyaG0/oVbc5DDZTGi5vpmhzYzEqzA9L3lpp1D1y5o1Dy6nzRocFW4J/iA88vN2Yk2ImbKQQERFJQHhSCIa5O0viH29EYoga2FJxjU9fO9s7sW3JLrx2/zvIX3TtT90NMfBmvcYGAmcBQJMTi8a9h9DcdFLsUkxCFR941RMZlqbNVWNfaT1OHz9rsXsOBM5e7cSUXC7Hzb+djupd+352pCsipT8nxd7BDgBEDXr+qdjxkXhpRX8z5ansF3D62BkA/X82pz2Qh6qCWqMCobV5arh7umKtBMZ7BEFAdEY4N/eYCRspREREEiBXyKHJjUXh6lLRj1ATWaORfsPhG+R92aevLafPY+1nm/HCTf/ATZ734g+zXsby99bitfvfQVuL6de2qjRBqN9jG4GzmpxYAECxjWzvUWmCrnkiw5K0uf2/tiUW/LX1DfLGMHfnK27uGZA7fwI8vN3wzSuLr3mt0IRgCIKAs80tsHNQoqrAegJYB5opxw+ewJMT/zjYTMm7MxP2jnZDXvN8JQqlApm3pqNgSSFaTp83VclmE50egaP1zTbTDLUmbKQQERFJROKkOJw8fBr1e6QfZElkDtEZ4ajYuhfHG09g8X9W4uncP+Fm7/vw9/lvoKqgBrl3ZuJvq57Dq1v+jDPN5/DD6ytMXoMtBc4GxoyGh7ebSUZQrIFqIMPGCnJSQjSBcBk+DIUW/LUVBOHCpp+rN1LsHOww+9Gp2LWyFPvK6q/6PCcXR4yNHoXqwjqotEGo2mncRhxTix0fiReXP3tRM2WYuzMm3j4O67/YYlQTJPfOCeju6sHGr7eZsGLziB7Xn5MidhC3LWIjhYiISCISJqkBgOM9RFcRnR6OM83nMG/Mg3jzkf/iRNNJ3Pzb6fj39r/gi4a38eh/7oM2V43o9HCkzUzEt/9cYvJPlW0pcFYQBCRMjsOuH0tFDfE1Fd8gbzi7OVlFho1cLocmJwbFa8otespQFR+I/eUN1/z9nPZALhyHOfzsqZTwpP7A2YhkFWqL9ltdAKt6QtRgM2VgzGfGryehs70La4aw5vlqVJogjI0ahTWfbDRdsWYSrB4LB2d77OZ4j8mxkUJERCQRI/1HYGz0KOziGmSiK0qblYhxN6Xgnpdux38rX8MHVa/j3r/OQ0SyCjLZxf/svetPt6LtXDu+eWWJSWvwGj0SriNsI3AWANJnJuH8mVabeCMmCAJC4gNFDST+KW2uGicPn8bByiaL3VOlDUZ3Z/c17+niMQxTf5WLjV9vw9H641d9XkSKCi2nW+E1eiS6O7ut8hSWekIUXlz2LI7VN+Op7Bcw0n84IlNDsWTBKvT19Rl0TUEQkDt/AqoKatFYbd2rheUKOSJTQxk4awZspBAREUlI4qQ47NlShfbzps92IJI6d083PP/Nb3Hbs7MxOtz/ms8NjBmDrNvSsejfKy7a7mEsmwuczY2FnYMS2xbvErsUk1BpgrCv7KBVnLAZyEkxdg2yPn4ucHbAnMemQiYT8P2/ll31OeHJ/YGzfb39J2qsKSflp9SZ/c2UMVGj4OTqhOkPTsKh2iMoXb/H4Gtm3zEeMpmANZ8YfrLFUqIzInCgvAGtZ1vFLsWmsJFCREQkIQmT49HT3YuyjZVil0IkefP/eAu6Orvx5V9/MOl1VZogHKxoQldHl0mvKwZHZwdocmOxbfEumwi6VmkC0d3ZjYYq8U8SeI32xKgwPxRZMHDWL8QHTi6O1wycBQDPgBGYOG8cfvzvOpw9ce6Kzxkd4Q8nF0c01R7BCD8P7N1hHZt7rkSdGYXff/0E7OyVGH9TCtxGuhi1CnmErwe0eWqs/WyzwSdbLCU6Ixw6nQ4V26yz0SVVbKQQERFJSHRGOByc7LFrZYnYpRBJnn+ILybdlYXl76zB8YZmk103NCEYvT292F9+0GTXFFPajEQcbzhxzfBRqQjRDATOWseJIW2uGuUbKyy2klkmk/1s4OyAW56cgc72Liz5z6or/rhcLkdYUgiqd9YiPFmFKitupPyUnYMdptybje1LCnG88YTB18mdn4nmxpMo3XDtVdFiC09WQa6QY89W6Y/nWRM2UoiIiCTEzl6JuInRKGROCpFJ3PH8TQCAT//0ncmuaUuBswCQMk0LQRCwfXGh2KUYLSDUF47DHFBnBZt7gP7Rqc72LotuVVHFB2J/2UH09vRe83ljIkchZboWi978ER1tV17nHZ4Ugv3lDVBpgnC47uhVT69Ym6n350KnA1a8u9bga6TNTICzm5PVh846OjtApQlkToqJsZFCREQkMdo8NQ7vO4ZDdUfELoVI8rxGjcS0B/Kw+uONaKo5bJprXgic/bnxCanw8HZHZFooti2Rfk6KTCZDcNxY1A7hRIYlqDOjIFfIUbzGcuM9Km0wOtu70LD358ebbn1qJs6dbMHKD9Zf8ccjUkLR29OLYW5OAGDV4z0/5TPWC8lTNVjx/lqDtw3ZO9pjws2p2Pr9DrS1WHduWVR6OPbuqBvSyae60gNY+Ppyqx9ZEhsbKURERBKTODkOANcgE5nKbc/Ohp2DEh//8RuTXG8wcNZGNvcA/eM9dSUHTDoCJZaQ+EDsK6lHb++1T2RYgpOLIyLTQlG0xoKBs3qcmIrOiEBkWhi+/9fSK55gGQicbT3XBplcJpnxHgCY/uAknD52FlsX7jT4Grl3ZqKjrRNbvi8wYWWmF50Rju7O7mv+nvf19eHbfy7FI8nPYsHjH6GqQDq/l2JgI4WIiEhi/EN84RfsbdFND0S2zMPbHbMfvQEbv8o3WQ6ILQXOAkDazEQAwDYbGO8J1Qajo60TTTXWcapPm6NGbfEBnGk+a5H7+at84OBsP+TRs1ufmomj9c3Y9O32y37Mw8sNPoFeqCutR2DMaEk1UhImqeEb5I2lC66cATMUUWlh8AvxsfrtPdEZ4QCAPVuvPN5z4vApPDv5Rbz71CdImBwHuUKOgqXS/7NuTmykEBERSVDCpDiUrt9jsYBCIlt385MzMMzdGR89/5VJrheqDbKpwNmAUD+MCve3ifGekAsrgK0lJ0Wb178GuWSd4et49SGXyxESHzjk8aaU6VqMCvfHN68svuLmpogUFfYW1CI8SYW9O2olMxIik8kw/YE87N5ShQO7DftzKggCcn8xAWUbK3C0/riJKzQdd083jArzu2Lg7LbFu3C/+klUbqvB4+/cjz8tegYx4yOwnY2Ua2IjhYiISIISJ8ejo63zqp8uEZF+XDyG4eYnZ6BgaREqC4xfE6rP+IRUpM1IQPmmSpw/0yp2KUYZHe4POwclaq1k9EqlDYKLh7NFTxnqM94kk8lwy5MzsK+0HkVXyHIJT1KhuekkRoX5ou1cOxqrTZM1ZAmT7s6C0l6JJW8Zfiol5xfjAQBrP91sqrLMIio9HBX5ewcbXR1tnXjtgXfxh9kvw3vMSLxV9Hfc8MscCIKA1OkJOFjZhMP7jopctfViI4WIiEiC1JmRUNopUMg1yEQmM/vRKXD3csNHvzf+VIr3GE+4DB9mM4GzAJA2Kwm9Pb3YuaJY7FKMIlfIEaQei9oS6ziRIpfLEZcdg6I1ZVc88WEOg+NNQ2x6TJw3DiP8PPD1y4su+7GIlFAAgEwhBwBJZWu4jnBB5tw0rP1sM1rPtRl0DZ+xXlBnRmHNp5ss9vtniJhxEWg53YqGqkOoKzmAh7RPY8V7a3HLUzPx+raXMCrMf/C5qdMTAAAFS4vEKtfqsZFCREQkQY7DHBGVEY5dXINMZDKOwxxx27OzUbJuN0rW7zbqWgOBs7XFttNICU8KwXAfd5sY71FpglBXcsBqxlASctU4cejUkDbpmMLgiakhjjfZ2Stx42PTULp+z2W//8FxY6G0U6C54QSc3Zyw1wQnuixp5kOT0dHaadSJkrw7M3G47igqtlWbsDLTGshJWfD4h3gk5Vm0tbTj72t+j1/+/Q4o7ZQXPdc3yBtjo0Zh+zKO91wNGylEREQSlTgpDvV7GrHw9eUGr28kootNuz8XngEj8OFzXxr96XKoNhj1exptJnBWJpMhZZoWO1eUSD6fSaUJRNu5dhzed0zsUgAAmtz+nBRLjfeMCvODvaOdXqNnsx6dgiD1GLz6q3cuCsa1s1ciOD4Qe3fVITxZhaqd0jmRAgBhiSEITQjGkrdWGvxnftyNyXBwtseajzeatjgT8g3yxnAfdxSv3Y3kaVq8W/ZPxE+MuerzU6ZpUb6pEi2nz1uwSulgI4WIiEiiJt87EXETo7Hg8Y9wb+TjWP/lVqv5dJVIquwc7HDH8zejqqAWBcuMO9Y+EDh7YHeDiaoTX9rMRLSf70DZBssEo5qLStN/IqPOSk4M+Yz1gr/K12JrkOUKOYLjxg45cBYAlHZK/O7TR9F6phWv3f/ORU2HiGQVagv3IzwxBPW7G9B+vt0cZZvN9AcnoaHqEMo3VRr09Y7DHDHuxhRs/GYbOts7TVydaQiCgN8s+BWe/exR/OG7J+E6wuWaz0+dkYC+3j7sWsmTr1fCRgoREZFEuQ53wctrnsdffvw/OLo44K/zXsfDSb9D8drLwwCJaOjy7pwAvxAffPT7r4xqTg6MT9QUWkeoqSnEZ8fAwdke2xZLe7xnTFQAlHaKIY+2WII2NxblGystdtpHpQnCvpJ6vV7jgdGjcfdLtyN/0S6s+mjj4OPhySp0tHXC3dsVfX061BRaR4NqqDJvTYOLhzOWGLEKOXf+BLSda7fqFeFpMxMx8fZxEAThZ58blhQCdy83FHC854rYSCEiIpIwQRCQOCkOC4pexjOfPIJzJ8/jmbw/45lJf7apbAYiS1IoFbjzhVth72SHs83nDL6OLQbO2jnYIXFyHLYvLZT0CTilnRJjY0Zb1d+T2jw1Oto6UbXdMhkjIZogtLW041DtEb2+7sbHpyJ2QiQWPPbh4MrfiBQVAKCrowcAULLOuIwhS3Nwssekuyci/4edOHH4lEHXUGdGwWv0SKz5ZKNpixOJXC5H8g0a7FxRgp7uHrHLsTpspBAREdkAmUyGnDvG44O9r+OBf96J2qL9eCjhGfxl3ms4st86MgCIpCRrbjpez38JHt7uBl/DFgNnASB1RiJOHj4t+dXOqvhA1BXvt5pNK+rMKMjkMhRaKCclVM/A2QEymQxPf/QwAODlu95Eb28vfMZ6wd3TFfUVDUiZpsXy99ZKLhto6v256O3pxYYv8w36+oHvw0Wrywxuxlib1BkJaD3bhj1b94pditVhI4WIiMiG2NkrcePj0/Dpvjdx27OzsW3RLtwT8Rt89ffLV1YS0dUJgjCk4+8/J1QTZFOBswCQPFUDmVyG/EU7xS7FKCptMFpOt+LYwWaxSwEAOLs6ITI11GLjmaMj/KG0VxrUEPMe44mHXr8buzdXYeGryyEIAsJTVNi7ow5zHpuKM8fPYv0XW81QtfkEqHwxKtwfxWsNb2Tlzp+Avj4d1n++xYSViUeTGwulvRLbl3C851JspBAREdkgZzdn3PPS7fio9g1MuisLvkHeYpdEdF1S2WDgrOtwF8SMi5D8myuVJhCA/icyzEmbq0Zt0X6cPWH4SNlQKZQKBKvHGHxiKu/OTKTPSsSHz32JA7sPIjxJhca9hxAcNxZB6jH4/tVlVnPaZ6i0ubEo31RpcOMzINQPkamhWPPJJsn93K/E0dkB8dnRKFhWaBM/H1NiI4WIiMiGjfQbjsfeuR8Tbk4VuxSi69Jg4KzEx2AulTYjEfUVjTi876jYpRgsMGY05Ao5aousJwxYkxsLnU5nsYwRlaZ/9MyQvBtBEPDYO/fD2d0Zf5v/xuAmpJrC/bjp8emor2hE0RpphZ9rc9Xo6ujGnvxqg6+ROz8T9RWNNjPSlzItAYf3HUNDVZPYpVgVNlKIiIiIiMzEZ6wXXIYPk3yeyKVSZyYAgKS399g52GFMVADqSqznREpYQjCGuTtbrAERoglC27l2g7O03D3d8MR7D2B/2UEUry2DIAioKqhB5tw0DPf1wMLXlpm4YvOKnRAJuUKOYiPWUGfemgalvRKrf7LVSMpSpmkBANuXGrcO3tawkUJEREREZCaCICA8KQRlG/dIesvNpXwDvREUO0bSjRQAUMUHobbIegJn5Qo54rOjUbSmzCI1DQTO1hkx3pQ6PQGT75mIH15fAe8xnqjaUQulnRIzfz0Zu1aWor6i0VTlmp2TiyMi00KNamQNc3dG2swEbPgqH91dllllbU6eASOg0gRi+1Jpj/KZGhspRERERERmlD1vPA7vO4bS9XvELsWkUmckoCJ/r0XyPMwlPFmFM83n0FRzWOxSBmly1GhuPInGavPXNCYqAEo7hdGjZw++ehe8xnji7IlzqCqogU6nw7T7c2HvaIeFry03UbWWoc1Ro67kAM40nzX4GrnzM9HZ1on95baRjZQ6PRFV22tw+rjhvya2ho0UIiIiIiIzGndjMlxHuGDp26vFLsWk0mYmoq9Ph4Jl0j3yr82LBQAUrbaeLI//1WT+NchKOyXGxow2Os/DycURT3/0MNpbO3D+dCsO1R2F6wgX5M6fgLWfbZbUG/CBX/+SdYY3PhPy1Pj6yHsISwg2VVmiSp2RAJ1Oh50risUuxWqwkUJEREREZEZ2DnaYfHcWti3ehROHTopdjsmoNEHwDBiB7UukO97jG+gNvxAfFBmRiWFqvoHeGBXmh4JllhmlCNUEoa7Y+PGmmHERmHRnJgBg6YJVAIA5j01Fd2c3li2QThNRpQ2Ci4ezUY0suUIOZ1cnE1YlruC4sf1/1jneM8jqGymCIAQJgvBfQRC++8ljzoIgfCwIwnuCIMwTsz4iIiIiop8z9f5c9PX24cf314tdiskIgoDUGQkoXFWGjrZOscsxmDYnFmUbK6wqzyJ9VhLKNlai5fR5s98rRBOEltOtOFp/3Ohr/frNeyHIBDRWHQIAjArzR8o0LZa8tdLglcKWJpfLETcxGsVry60mO0dsgiAgZZoWRavLJPP7aG5mbaQIgvCBIAjHBUHYc8njkwVBqBYEoU4QhN9d6xo6nW6/Tqe795KH5wD4TqfT/RLADBOXTURERERkUn7BPkiYpMaK99eit6dX7HJMJm1mIjrbu1C81npGY/SlzVOj/XwHqgpqxS5lUPrsJPT29FpkbEplgsDZAY5ODohMDUVrS/vgY3Mem4ozzeew/outRl/fUrS5ajQ3nUTD3kNil2I1UqYnoKO1E6UbKsQuxSqY+0TKRwAm//QBQRDkAP4DYAqASAC3CYIQKQhCjCAIyy75z+sq1w0AMBD/bDvfiYiIiIjIZk1/YBJOHDplU8fjYydEwsnVEdslvL0nLisKMrnMIpkkQxWaEIyR/sOR/8MOs98rMGY05Aq50YGzA0K1wdhfWj/YMIzLikaQegy+f3WZZE54aHL7c1KKLbSGWgrisqLg4GyPAhv6+8sYZm2k6HS6zQBOXfJwEoC6CydNugB8BWCmTqfbrdPppl3y39XOlzWhv5kCSGA8iYiIiIgoeaoGngEjbCp0VmmnRNINGhQsK0JvrzQ/33R2c0ZEisqqclJkMhnSZyVZZGzKzl6JwJjR2LvTNCdyQhOC0dHWOXiaQxAE3PT4dNRXNBq1VtiSfAO94RfsLemTVqZm52AHbZ4aBcuKJNMQMycxmhD++N9pEqC/KeJ/tScLgjBCEIS3AcQLgvDshYcXArhREIQFAJZe5et+JQhCoSAIhc3NzSYqnYiIiIjIMHKFHDf8MgfFa8rRVHtE7HJMJm1GImQKOY4fPCF2KQbT5qpRU7gf5061iF3KoPTZSehs70LhqlKz3ytmXAQqt1Wjq9P4nJiBUaHan5xwyZybhuG+Hvj+1Su+dbNK2lw1SjfssarsHLGlTk9Ac9NJ7CutF7sU0Vn9aQ6dTndSp9M9oNPpgnU63V8vPNaq0+nu1ul0D+p0us+v8nXv6nS6BJ1Ol+Dp6WnZoomIiIiIrmDKfdmQK+RY/s4asUsxmfE3peDLxrfhG+QtdikG0+bGQqfTGbXy1tRix0fCZfgwbLXAeE/cxGh0dXRj7w7jT6UEhPrCwdkeNYX7Bh9T2ikx89eTUbiqDAf2NBh9D0vQ5Maio7XTqrJzxJY8VQNBELB9Ccd7xGikHAIw6if/H3DhMSIiIiIimzbC1wNpsxKx6qMN6GyX7qabn5Ir5JDJrP7z2WsKSwyBs5uTVeWkyBVypM5IwI5lxejp7jHrvWLHR0ImE1C63vhGklwuh0oThNriizNXpt2fC3tHOyx8bbnR97CEuKxoyOQy5qT8hLunGyJSQ7F9qXQzkUxFjL/xdgFQCYIQKAiCHYC5AJaIUAcRERERkcVNfyAPLafOY/O3BWKXQhfIFXLEZ8egaE2ZVeU/pM9KwvkzrSjbaN5NKcPcnRGiCULpRtOcyFFpgrDvJ4GzAOA6wgW58ydg3edbcPr4WZPcx5yGuTsjPCnEqrJzrEHq9ATUFh9Ac9NJsUsRlbnXH38JYDuAMEEQmgRBuFen0/UAeBjAKgBVAL7R6XTcoURERERE14W4rGiMCvPD0rdXiV0K/YQ2V43jDSfQVHNY7FIGaXNj4eBsj60LLTDekxmFvQW1Jgm3DU0IRmd7Fxqqmi56fM5jU9Hd2Y1lC6QRuKzJiUVN4T60nD4vdilWI3W6FgAssprbmpl7a89tOp3OV6fTKXU6XYBOp/vvhcdX6HS60Au5Jy+ZswYiIiIiImsiCAKm3Z+HqoJa1JUeELscukB7YeWtNW2WsXe0R+KUeGxbvAt9fX1mvVfcxGh0d/Wgclu10dcaCJy9dKXyqDB/pEzTYslbK9HV0WX0fcxNm6dGX5/OJCNPtmJ0RAD8gr1RsOz6zkmR9jAjEREREZEE5d45AfaOdpL5ZP564BvUv/LW2kY5MmYl4dTRM2YPPY3OCIdcIUfpBuObBgGhvnAc5nBR4OyAOY9NxZnmc1j3+Raj72Nu4UkhcHJxtKrsHLEJgoCUaQkoWbcH7a0dYpcjGjZSiIiIiIgszMVjGDJvTce6L7ag9Vyb2OXQBdpcNco2VFjVytvkqRoolHLkm3l7j+MwR4QlBpukkSKTyRCiCbwscBboH20LUo/BwteWW1UezZUolArETYxG0VrrOaVkDVJnJKC7s/u6DuJlI4WIiIiISATTH8xDR2sn1n66WexS6AJtnhrt5zusauWts5sz4rNjkL9op9kbD3FZ0ajetQ9tLe1GXyv0CoGzQP+JhntevA03PznD7ONKpqDJicXRA8dxeN9RsUuxGtEZ4Rjh54HjDSfELkU0bKQQEREREYkgLDEEKm0Qlr292uo/mb9exGVFWeXK2/RZSTi87xgO7G4w633UWdHo6+3D7i1VRl8rNCEYXR3dOFjZdNmPJU/VIu/OTMjlcqPvY26D2Tkc7xmkUCrw+cEFmP3oDWKXIho2UoiIiIiIRDL9gTzUVzRiz9a9YpdC6D/9EZ6ssrqclLSZiRAEAfk/7DTrfaLSQqG0U6DMBOM9VwuclRp/lS+8x3hyvOcSUmiCmRMbKUREREREIsmcmw5nNycse4ehs9YiIVeN6l37cO5Ui9ilDPLwdkdUehi2LjJvToq9oz0iUkNNkpPir/KFk4sjaosuD5yVEkEQoMmJRen6PZeNKdH1i40UIiIiIiKRODo7IHf+BGz5rgBnms+KXQ4B0ObFQqfToWSdda28TZ+VhP1lB3Fk/zGz3icuKxp1JfVoOX3eqOsMBM5K/UQK0J+d03q2DdW76sQuhawEGylERERERCKa9kAeurt6sPKDDWKXQujPrnF2c7K6TIz02UkAgK1mHqHTIfwAABCFSURBVO+Jy4qGTqfD7s3G56SoNEHYX1aPnu4eE1QmnviJ0RAEAUVWlp1D4mEjhYiIiIhIRGMiAqDOjMLyd9dIYouJrZMr5IibGI3iteVWFQLsG+iN4LixyDfzeE9YUgjsHe1Qsn630de6VuCslLiOcIFKG4Ri5qTQBWykEBERERGJbPoDeTh64Dj27uTogDXQ5qpx7GAzDtUeEbuUi6TPSkLlthqcOnrabPews1ciKiMcZRsrjL5W6IXA2VpbGO/JjUXl9hq0nmsTuxSyAmykEBERERGJLG1WIj7c+zoiU0LFLoUAJOSpAQCFVjbekzEnGTqdDtsWF5r1PnGZ0Tiwu8Ho3B6/EB84uTjaRk5Krhp9vX0maTCR9LGRQkREREQkMqWdEgGhfmKXQRf4BnnDL9jb6tYgj40aBb8QH2z9wbzjPXETowEAZRsrjbqOTCaDShsk+c09ABCRGgoHJ3sUMyeFwEYKERERERHRZbS5apRtqLCqoFRBEJAxKwml6/fg/JlWs90nVBsEJxdHlJogJ0WlCcK+soNW9etoCDt7JWIzI62uuUbiYCOFiIiIiIjoEprcWLSf70BVQa3YpVwkfU4yent6sWN5sdnuIVfIETM+wjQ5KQnB6O7sRn1FowkqE5c2R42mmiM43tAsdikkMjZSiIiIiIiILhGXFQ2ZXGZ1a5DDk0Iw3NfD7OM96sxoNFYfxonDp4y6jsqWAmfzYgGAa5CJjRQiIiIiIqJLDXN3RniyyupGOWQyGdJnJqJwZSk62zvNdp+4rCgAQNkG406l+AV7w8nV0SYaKaMjAjDCz8PqXhNkeWykEBERERERXUFCrhrVu/bh3KkWsUu5SMacZHS0daJotflORgSpx8DFwxmlG/YYdR2ZTIZQbRBqbCBwVhAEpM9KgtJeKXYpJDI2UoiIiIiIiK5AmxcLnU6H0vXGNRNMLXZCJFw8nM063iOXyxE7IdLoRgrQHzi7v7xB8oGzAPDIm/fhmY8fEbsMEhkbKURERERERFcQlhgCZzcnq8tJUSgVSJ6mRcHSQrM2J+KyYnD0wHEcrT9u1HVUWtsJnCUC2EghIiIiIiK6IrlCjriJ0ShaUw6dTid2ORe58bFp+H9fPg5BJpjtHuoLOSmlRuakhCb0B87WFEo/J4UIYCOFiIiIiIjoqrS5ahw72IxDtUfELuUiIfGBSMhTQy6Xm+0eY6NGwd3TFWUbjRvv8Qv2gbObE2ptICeFCGAjhYiIiIiI6KoS8tQArs+Vt4IgQJ0VhdL1e4w6kSMIAlTaINTYwOYeIoCNFCIiIiIioqvyDfLGCz88jazb0sUuRRTqzGicOHQKh+qOGnWdUE0QDpQfRHdXt4kqIxIPGylERERERETXkDYzEa7DXcQuQxTxE6MBwOjNRSptELq7enCwoskUZRGJio0UIiIiIiIiuiJ/lS9G+HkYnZMSmhAMAKgpZE4KSR8bKURERERERHRFgiAgbmI0SjdUGJWT4hvkjWHuzsxJIZvARgoRERERERFdVVxmNM4cP4uDlYaP5fwvcJYnUkj62EghIiIiIiKiq4obyEnZYGROiiYI9bsbGDhLksdGChEREREREV2Vz1gv+Iz1NLqREnohcLZ+T6OJKiMSBxspREREREREdE3qzGiUb6xAX1+fwddg4CzZCjZSiIiIiIiI6JoGxnuOHWw2+Bo+gV5w8XBGLQNnSeIUYhdARERERERE1m3CLanIui0dcrnc4GswcJZsBU+kEBERERER0TUp7ZRGNVEGqDRBOLC7AV2dDJwl6WIjhYiIiIiIiCxCpQ1GT3cv6vc0iF0KkcHYSCEiIiIiIiKLCE0IAgDUFDInhaSLjRQiIiIiIiKyCJ+xA4GzzEkh6WIjhYiIiIiIiCxCEASoEoJRW8wTKSRd3NpDREREREREFpN5SxqO7D8mdhlEBmMjhYiIiIiIiCxmyr3ZYpdAZBSO9hARERERERERDREbKUREREREREREQ8RGChERERERERHRELGRQkREREREREQ0RGykEBERERERERENERspRERERERERERDxEYKEREREREREdEQsZFCRERERERERDREbKQQEREREREREQ0RGylEREREREREREPERgoRERERERER0RCxkUJERERERERENERspBARERERERERDREbKUREREREREREQ8RGChERERERERHRELGRQkREREREREQ0RGykEBERERERERENERspRERERERERERDxEYKEREREREREdEQsZFCRERERERERDREbKQQEREREREREQ0RGylEREREREREREPERgoRERERERER0RCxkUJERERERERENESCTqcTuwazEwShGcBBsesw0EgAJ8QugiSFrxnSF18zpC++ZkgffL2QvviaIX3xNUP6CtPpdC6GfrHClJVYK51O5yl2DYYSBKFQp9MliF0HSQdfM6QvvmZIX3zNkD74eiF98TVD+uJrhvQlCEKhMV/P0R4iIiIiIiIioiFiI4WIiIiIiIiIaIjYSLF+74pdAEkOXzOkL75mSF98zZA++HohffE1Q/ria4b0ZdRr5roImyUiIiIiIiIiMgWeSCEiIiIiIiIiGiI2UqyYIAiTBUGoFgShThCE34ldD1kfQRA+EAThuCAIe37y2B8FQTgkCELphf9uELNGsh6CIDgIgrBTEIQyQRAq/n97dxprV1XGYfz524KCAwUURSpUgVCkkQJaxYGQIgSUMAUR1ADaGBExIAkyfHCKRhwIolEcgBYjg1IUFBEliIpEy9QKlYLIjEEgKKCMQl8/7HXx9HJv71EuPQd8fsnJOXvttfd+T7uz7jpv1lo7yadb+auTLGptzfeTrD7oWDVckkxJsjjJeW17QZKbe9qZ2YOOUcMjybQkC5Ncl2RZkm2TrJPkwiQ3tPe1Bx2nhkOSzXrakiVJHkhymP0ZjSfJoUmWtr7MYa3MNkZPGuc30pj3SJLtk9zf09Z8op9rmEgZUkmmAF8HdgFeC+yX5LWDjUpDaAGw8xjlx1fV7PY6fxXHpOH1KDC3qrYEZgM7J3kT8AW6e2YT4O/AvAHGqOF0KLBsVNkRPe3MkkEEpaF1AnBBVc0EtqS7d44CLqqqTYGL2rZEVV0/0pYA2wAPAT9qu+3PaAVJZgEfBObQtS+7JtkE2xitaAFP/Y20snvkkp625jP9XMBEyvCaA/y5qm6qqseAM4HdBxyThkxV/Qb426Dj0LNDdf7ZNldrrwLmAgtb+anAHgMIT0MqyXTgncBJg45Fwy/JWsB2wMkAVfVYVd1H14c5tVWzndF4dgBurKpbBx2IhtbmwKKqeqiqHgd+DeyFbYx6jPMbaVLvERMpw2sD4Pae7TtamdSPQ5Jc3Ya1ObRRT2pTNJYAdwMXAjcC97XOCNjW6Km+AnwcWD6q/HOtnTk+yfMHEJeG06uBe4D5bTrYSUleCLy8qu5sdf4KvHxgEWqY7Quc0bNtf0ajLQXelmTdJGsC7wBehW2MJraye2TbNvX9Z0m26OdkJlKk554TgY3ppm7cCRw32HA0TKrqiTZ8ejrdyLeZAw5JQyzJrsDdVXXlqF1H0907bwDWAY5c1bFpaE0FtgZOrKqtgAcZNcS+ukdG+thIraCtz7UbcFYrsj+jp6iqZXRTkn8BXAAsAZ4YVcc2Ris16h65CtioTX3/GnBOP+cwkTK8/kKXXR0xvZVJK1VVd7Ufy8uB79D9WJZW0IbaXwxsC0xLMrXtsq1Rr7cAuyW5hW6K6dwk36uqO9tUsUeB+djO6D/uAO6oqkVteyFdYuWuJOsDtPe7BxSfhtcuwFVVdRfYn9H4qurkqtqmqrajW9vtT9jGaGJj3iNV9cDI1Pe2FtNqSV460clMpAyvy4FN29M0Vqcb6vjjAcekZ4GRBqLZk24IpESSlyWZ1j6vAexItwjkxcDerdoBwLmDiVDDpqqOrqrpVTWD7u/QL6vqfT0dkdDNMbadEQBV9Vfg9iSbtaIdgGvp+jAHtDLbGY1lP3qm9dif0XiSrNfeN6RbH+V0bGM0sTHvkSSvaP0Zksyhy5HcO9HJpk5UQYNRVY8nOQT4OTAFOKWq/jjgsDRkkpwBbA+8NMkdwCeB7dujSAu4BfjQwALUsFkfOLU9Fex5wA+q6rwk1wJnJvkssJi2SKS0EqcleRkQumHVBw04Hg2Xj9LdI6sDNwHvp7U5SeYBtwL7DDA+DZm2js6OrNhn+aL9GY3j7CTrAv8CPlJV9yU5FtsYNeP8RhrvHtkb+HCSx4GHgX3b1J+VX6OPOpIkSZIkScKpPZIkSZIkSX0zkSJJkiRJktQnEymSJEmSJEl9MpEiSZIkSZLUJxMpkiRJkiRJfTKRIkmSJlWS6UnOTXJDkhuTnNAehbuyY6YlObhn+5VJFv6X1/1Mkrf/r3H/F9dZIVZJkvT/xccfS5KkSZMkwCLgxKqan2QK8G3gb1V1xEqOmwGcV1WzVkmg48cxtaoen6DODIYgVkmSNBiOSJEkSZNpLvBIVc0HqKongI8BH0iyZpID22iVX7URK59sxx0LbJxkSZIvJZmRZClAO+acJBcmuSXJIUkOT7I4ye+TrNPqLUiyd5LXt/MsSXJNkmr7N05yQZIrk1ySZGbPcd9Msgj4Yu+XSbJFksvaua5OsunoWFu9I5Jc3up8upXNSHJdktOSLEuyMMmabd+xSa5t9b/8TP6HSJKkyTV10AFIkqTnlC2AK3sLquqBJLcBm7SiOcAs4CHg8iQ/BY4CZlXVbHhy1EevWcBWwAuAPwNHVtVWSY4H9ge+0nO9K4CR83wJuKDt+jZwUFXdkOSNwDfoEj8A04E3t8RPr4OAE6rqtDY9acoYse4EbNq+V4AfJ9kOuA3YDJhXVZcmOQU4OMl8YE9gZlVVkmkT/aNKkqTh4YgUSZK0ql1YVfdW1cPAD4G39nHMxVX1j6q6B7gf+EkrvwaYMdYBSd4NbA0cleRFwJuBs5IsAb4FrN9T/awxkigAvwOOSXIksFGLebSd2msxcBUwky6xAnB7VV3aPn+vfdf7gUeAk5PsRZdQkiRJzxImUiRJ0mS6FtimtyDJS4AN6UaSAIxeoK2fBdse7fm8vGd7OWOMsE0yC/gUsG9LkDwPuK+qZve8Nu855MGxLlpVpwO7AQ8D5yeZO0a1AJ/vOe8mVXXyON+t2hosc4CFwK78Z8SMJEl6FjCRIkmSJtNFwJpJ9gdoi80eByyoqpGRFzsmWSfJGsAewKXAP4AXT0YAbarMGcD+bQQLVfUAcHOSd7U6SbJlH+d6DXBTVX0VOBd43Rix/pxuDZgXtWM2SLJe27dhkm3b5/cAv2311qqq8+nWj5kwDkmSNDxMpEiSpElT3eMA9wTeleQG4E9001iO6al2GXA2cDVwdlVdUVX3ApcmWTqygOvTsDuwEfCdkUVnW/l7gXlJ/gD8sdWbyD7A0naOWcB3R8daVb8ATgd+l+QaupEmI4mW64GPJFkGrA2c2Padl+Rq4LfA4U/z+0qSpFXIxx9LkqRVJsmBwOur6pBBx/JM8zHJkiQ9NzkiRZIkSZIkqU+OSJEkSZIkSeqTI1IkSZIkSZL6ZCJFkiRJkiSpTyZSJEmSJEmS+mQiRZIkSZIkqU8mUiRJkiRJkvpkIkWSJEmSJKlP/wa7nefhM89Y7gAAAABJRU5ErkJggg==\n", 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\n", + "image/png": 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\n", 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" ] @@ -467,22 +650,22 @@ }, { "cell_type": "code", - "execution_count": 11, + "execution_count": 12, "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "" + "" ] }, - "execution_count": 11, + "execution_count": 12, "metadata": {}, "output_type": "execute_result" }, { "data": { - "image/png": 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\n", + "image/png": 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\n", 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\n", 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\n", 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" ] @@ -540,31 +723,40 @@ }, { "cell_type": "code", - "execution_count": 12, - "metadata": { - "scrolled": false - }, - "outputs": [], + "execution_count": 13, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "CPU times: user 2.81 s, sys: 17.2 ms, total: 2.83 s\n", + "Wall time: 2.84 s\n" + ] + } + ], "source": [ + "%%time\n", + "\n", "# compute profiles\n", "profile_options = pypesto.ProfileOptions(min_step_size=0.0005,\n", " delta_ratio_max=0.05,\n", " default_step_size=0.005,\n", - " ratio_min=0.03)\n", + " ratio_min=0.01)\n", "\n", - "result1_tnc = pypesto.parameter_profile(\n", + "result1_bfgs = pypesto.parameter_profile(\n", " problem=problem1,\n", - " result=result1_tnc,\n", - " optimizer=optimizer_tnc,\n", + " result=result1_bfgs,\n", + " optimizer=optimizer_bfgs,\n", " profile_index=np.array([1, 1, 1, 0, 0, 1, 0, 1, 0, 0, 0]),\n", " result_index=0,\n", " profile_options=profile_options)\n", "\n", "# compute profiles from second optimum\n", - "result1_tnc = pypesto.parameter_profile(\n", + "result1_bfgs = pypesto.parameter_profile(\n", " problem=problem1,\n", - " result=result1_tnc,\n", - " optimizer=optimizer_tnc,\n", + " result=result1_bfgs,\n", + " optimizer=optimizer_bfgs,\n", " profile_index=np.array([1, 1, 1, 0, 0, 1, 0, 1, 0, 0, 0]),\n", " result_index=19,\n", " profile_options=profile_options)" @@ -574,7 +766,7 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "## Visualize and analyze results" + "### Visualize and analyze results" ] }, { @@ -586,28 +778,84 @@ }, { "cell_type": "code", - "execution_count": 13, - "metadata": { - "scrolled": false - }, + "execution_count": 14, + "metadata": {}, "outputs": [ { "data": { - "image/png": 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\n", 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" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" - }, + } + ], + "source": [ + "# specify the parameters, for which profiles should be computed\n", + "ax = pypesto.visualize.profiles(result1_bfgs, profile_indices = [0,1,2,5,7], \n", + " reference=ref, profile_list_ids=[0, 1])" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Approximate profiles" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "When computing the profiles is computationally too demanding, it is possible to employ to at least consider a normal approximation with covariance matrix given by the Hessian or FIM at the optimal parameters." + ] + }, + { + "cell_type": "code", + "execution_count": 15, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "CPU times: user 27.8 ms, sys: 5.92 ms, total: 33.7 ms\n", + "Wall time: 20.9 ms\n" + ] + } + ], + "source": [ + "%%time\n", + "\n", + "result1_tnc = pypesto.profile.approximate_parameter_profile(\n", + " problem=problem1,\n", + " result=result1_bfgs,\n", + " profile_index=np.array([1, 1, 1, 0, 0, 1, 0, 1, 0, 0, 0]),\n", + " result_index=0,\n", + " n_steps=1000)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "These approximate profiles require at most one additional function evaluation, can however yield substantial approximation errors:" + ] + }, + { + "cell_type": "code", + "execution_count": 16, + "metadata": {}, + "outputs": [ { "data": { - "image/png": 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\n", 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xixYytc5XPMsXtGkZx3ffuY4SERG5fTb8Ep1G5iHIP4Zxqwq5zvn/giePYHjmcWzeHczyd7Q0XP6XBixFksDlpWup2jo3R01BPvwgnkeq53Od5F1ly/LkhmEsSBvKpq1padPoqt41ExFJIeLO/EGTpw/zZVx5Fk6O4PnaGVwneUdAAIHvLmZF1YUUiDtErSqRHD3qOkpEROT2vNf8Qz6NeZZh3S+SK7cP7TGdKRPNFjzLQ+yib6fLXL/uOkh8jQYsRbwsasduajdOzw+UYvkyKP9SJtdJSaNsWRpsbMvQNMN5670MjHjtkusiERG5QzYqmm4lv2LF1WqM63yURl2yuU7yrsBAsq2aw4cVxhN9OYqXnrrA5cuuo0RERBLmyu4jdFv9DI9kOUqHUfld5/wP/1ovMb7iWo6EZ2FK/9Ouc8THaMBSxIviTp+jUfljfB73LPMnXealumldJyWtMmUY+GUlmgS+y+vjMvHuNG1oKSKSbFnLm+XWMO1UHXpW20fPKXe7LkoaadNy3/pJrHh0NHuPZ6Rh+ePExbmOEhERubWhr/zECfIxY0E6Z4eC30qlZW2pluZTRkwJ5txZLcuT/6MBSxEvsVHRhD7yPe9dq8rE7sdo2jWL6yQnTNkyzNlQiPL+39CiSzDfbdSGliIiydGC+p/Qf0ddGj2wizFrirvOSVpBQVT++nUmF53ORz/mo1/zU66LREREbmrPO7uYuP9FWj6yg7I1c7rO+WfZszN2YARX44IY3PKY6xrxIRqwFPEGaxnw+GfMOVODAbX20G1CAddFTqUt/wSrllwnvz1GzarRHDrkukhERG7HR4O20mZ5JZ6/60fmb3sQv9T4E2T69HTc0pTQ4LcY+3ZuFs6MdF0kIiLyt2y8pWNoHCHmCm+u8oFTwW+heN+atAt+h7C1edm3V7MsxSM1/rgp4nUTan3NqJ+q0a7UNoatKuE6xydkq1eJtW3XEH89mmpPXyI83HWRiIgkxPdv/8arwx7gkfS/sHJXMdIEpeIfH7NkYfJHhXmOz2nbKZBvNulFlYiI+J53um3lq4hSjGq0hxz3BLvOubXAQAa/HkcGrtK7pbYRE49U/BOniHcs6vkTPddUoG7e75i++VGMDx3E5lqx6V1Z9cAb/HYyHXWrXiUmxnWRiIjczP5vz1O9WVby+p9h3XdZCLkrvesk5wIrPMmK/ju5J/43aleN4vBh10UiIiL/59LZKHrOKMRj6X6m9byyrnMSLEeXBgwImcraLdnZsMF1jfgCDViKJKI103+n1YT7qRS8mbd/ehj/QP0v9l8CAqjwcV/mBnfj8+8zENomFqvJKSIiPunEoSheqBhDYHw0n6y8TM6Hc7tO8hlZhnbnw8eHE3slkpdeiCIiwnWRiIiIx6A6uzkbl40ZY6/hn8bfdU7CBQXRZWBGCnKYnu2v6oA70YClSGL5+sNLvNo5J48G/MT7W/OSNmsG10m+KV8+mi5/iYEMY96iAMaOdR0kIiJ/dSnc8uKjZ7kYnZ6PR/9EoVoPuU7yLf7+FFv1JisztmT/r/40qBenF1YiIuLcsR8vMP2bh2mbfz2lOz7hOue2BXVsxZshI/nptwwsWuS6RlzTgKVIIjjyaww1XvankD3E2jVxBBfP7zrJt734IkNeu0Y9ltKnD6xa5TpIRET+rHPFPewNz82qZmso+Vpl1zm+KW9ennu7JVPpzLr1/vTp4zpIRERSu0nNfwSg//wijkv+pQwZeLVvIcrwPQP7RHPliusgcUkDliJ3KC4OmlY4QnxsPGvH7SP7i4+5TkoW/IYPZWHZ2ZT120LjRvFs2+a6SEREAN7vu4W3dj7AwBIfUGlBI9c5vu2llwjtkoZOTGX8eJg3z3WQiIikVuHbfmXOrseoX3QHBSoVc53zr5lOHZkQ/Aan/kij1XipnAYsRe7Q+LrfselUUaZV/Zh7er7sOif5CAwkaNkiPsjUjFzxJ3mpuuXYMddRIiKp29kvdtNudCFKpt/PgO+qoZPjEmD0aCY+tJDnA78gNNTy1Veug0REJDUKa/YdVwih16yirlPuTMaMlO35JPVYytgx8Zw44TpIXNGApcgd2DV7CwM/KE2dXN/SZHVd1znJT/785Hx7Ah9FP8/18EiqVUMHF4iIOGJPnSa0+jEukZHFH2UjMGM610nJQ1AQAcvfYVlAYwoF/E6dOpZDh1xHiYhIahK94Wsm76tMpSKHeaRiVtc5d65LF95MP4y46DhGjHAdI65owFLkX7q++yCNQ0PIHhBO2PcPYQKS0QlsvqRqVe5/7SVWRtdg/7546teH+HjXUSIiqUx8PEsqL2RVZFWGd/2DB57N4booebn3XjJPH8FHkRWJv3adunUhJsZ1lIiIpBbvdNvCKfLQa3we1ymJI2tWCnZ+icbxb7FoYTwXLrgOEhe8OmBpjKlijDlgjDlojOn7N39ewBiz0Riz0xjzkzGmqjd7RBJNeDgDym9id/z9zJ8TT7aCIa6Lkrfhw6n0ZCSTA3ry8ccwc6brIBGR1OX4sAV02tOeJwufpsf4vK5zkqfmzSnS4HHmRjVh504YM8Z1kIiIpAZ2+w7G7XmRB3Od5fmX0rrOSTw9etAt7UyuRfoxe7brGHHBawOWxhh/YDrwInA/0MAYc/9fHjYQWG6tLQnUB2Z4q0ck0cTH88XzbzLhYgs61DpJlea5XBclf4GBsHQpoekXUyXkG157zXLwoOsoEZHUwe7eQ+sh+YnxD2LRx3fhrwUD/44xMGsWL9/9A6+k/4ihQy179riOEhGRlG59j0/ZwwP0eiM4ZW09nTMnD7Yvx3N8zrTJsVq5kAp5c4bl48BBa+0ha200sBSo+ZfHWCDjjd9nAk56sUckUYSPnEHzbR0oljOcsUtSyJR7X5A/P+atxcy5XJ/A2EhatPCcwC4iIl4UHc3sF9/nE/s8Y4dHU6RoSnql40DGjLB0KdOi2pKRCFq0sMTGuo4SEZEU69dfGbfpcfIGX6J+y/SuaxJf7950D5jKidMBrFzpOkaSmjcHLPMCv//p4+M37vuzwUBjY8xxYB3Q+e++kDGmrTFmuzFm+7lz57zRKpIwu3bR6Y2snDR5efvDTKRPgdcEp6pVI99rjZgS3Z5vvoHJk10Hifw7um5JcnGoyyR6Hu9GpYfP0f61jLf+BLm1xx8n58huTI1ux7ZthgkTXAeJ3JyuWSLJ1w99l/EFz9G1myFNGtc1XpA3Ly+2ysO9HGDi6GisdR0kScn1oTsNgIXW2nxAVeAtY8z/NFlrZ1trS1trS+fIoU3gxZHISJZVf4sl8Q0Z9Np1Hntcs1C8YvhwmpT9jRr+a+nfL579+10Hidw+XbckOYj/8muah5XBP9Cf+R/mwM/1T4UpSa9e1Kt8kVp+axj0uq5l4tt0zRJJpk6dYtwHRQgJjKRtr5T7pqNf39foaqawbVcavvvOdY0kJW/+aHoCyP+nj/PduO/PWgHLAay13wNBQHYvNon8ayc6v0no8f48cV84/YdncJ2TcgUGYpYtJSykFxniImjWNF7L6UREEtulS0x6+Ss2UZ4pUw3589/6U+Q2+PlhFi9iZpb+pI+7TMsW8drmREREEtXRoYtYHl+Xtk2vkymT6xovKliQpvWiyMJFJo7VC8PUxJsDltuAosaYe4wxafAcqrPmL485BjwHYIwpjmfAUusQxOfEr/+UFvPKERWQgbfWZCYgwHVRCpc/P7kWjWZGXDu2bvNj7FjXQSIiKcu+pqPof7E3NZ6+QNO2Qa5zUqZcuci1YBST4zrx/WY/pkxxHSQiIinGpUtMmh+CMdD1jSyua7wuQ9fWtCWM99f4ceSI6xpJKl4bsLTWxgKdgE+AfXhOA99jjBlqjKlx42E9gTbGmF3Au0Bza7UrgfiYP/5g+qtf8RnPM2GCoWhR10GpRI0avFrPj7rmPd4YZPn5Z9dBIiIpQ+yy92i6pg7B6eIIW541ZZ0o6mteeonGL0dSzW8dA/rHc/Cg6yAREUkJLk5YwJzoZtR/8VLqWCXxxBN0KvElfjaOqVM0ZJRaeHW3ImvtOmttMWttYWvtiBv3DbLWrrnx+73W2nLW2oettY9Yaz/1Zo/IbbOWfQ2G8trlgVR7OoK2nVLiTsa+y0yZzIxM/chswmnWzBIT47pIRCSZO3mSUS0OsJ3HmDU/LblyuQ5K+cyUyYSl606a2Gu0amWJj3ddJCIiydr164RNuMJVguk1MpvrmqRhDPm61uEVVjB3dhyXL7sOkqSg7dVFbiJ6ziIab2hGcAbL3OUZNQslqeXMSY6J/QmLacnOnYYRI1wHiYgkY/Hx7KwznKGRvWlQLYK69bW/SZLIm5e8ozoxIbYLX39tmDHDdZCIiCRnUXPfYsqVllR+9AIPP+y6Jgk1bEi3DHOIuBrA/PmuYyQpJGjA0hhTwxgz7sbtJW9HifiE335jaKez/MCjzFkcpFkorjRrRu3nLtMoYBkjRlh++MF1kIhI8hQ1eRZNN4eSI1M00xan3NNEfVKHDrR49GdeSPMFfftaDh92HSQiIslSXBzvDD3IKfLQe2TK37vyv2TIwOMtH+RJ8x1TJsbpMLtU4JYDlsaYUUBXYO+NWxdjzEhvh4k4FRvLdzVHMyqmJy3rXaHWy5qM7IwxEBbG1IDu5PC/SLNmlqgo11EiIsnMvn0M7n2V3TzI3CXpyZrVdVAq4++PmR3G7JiW+EVfp3Vr0K7tIiJyu+zK9xh3rikPFwynUuVUuPwvNJTudgKHjvrz4YeuY8TbEjIKUw2obK2db62dD1QBqns3S8Sty4PG0mRPH+7OGcmkOcGuc6RwYbIM68HcqMbs3m0YMsR1kIhIMhIdzXe1xjAmrgetG16jarVU+ALHF5QqRYGutRkb040vvoDZs10HiYhIsmItH/ffxF5K0GtIKt2urHhxapW/yN3+x5k4Qe/8pXQJnTaW+U+/z+SNEBGfsXkzPd7MwRFzD2+tCiYkxHWQANCtG1VLnaFl0DuMHm3ZssV1kIhI8nB1wEia/dKf/DmuM35metc5qdvQobTNu46KGbbQu7fl2DHXQSIikmxs2MC4Q7XJl+UK9Rqk3hWAAZ3a0zluIl9vMtouLIVLyN/yUcBOY8xCY8wiYAegoy8kZbpyhTW1FzDXtqZP92jKlXMdJP9fQADMncuE6E7kTXeBZs0gMtJ1lIiIj/v2W/qNy8ZBirJweQYyautKt0JCMNOnMfdqfeKjYmjTRkvDRUQkYXb0f4+NVKRbnyACA13XOFSrFq1zfkiw/zUmTXIdI950ywFLa+27QBlgFfAeUNZau8zbYSIunGk3iNanh1Gy6BUGjwpynSN/VbIkmXq3Zf7Vehw4AAMHug4SEfFhERF8XncmU+lM19BonnnGdZAAULMm99R8mDdtXz79FBYscB0kIiI+b9s2xm2vQMagKNqEBriucSswkEzt6tMybi5Ll1pOnXIdJN7yjwOWxpj7bvxaCsgNHL9xy3PjPpEUxa56nzbvPEOEfxbe/iCYNGlcF8nfeuMNKhU+QmjGJUycaNm0yXWQiIhvutShHy1Pj6BY/khGjtNFzadMnUqHwDmUz/ozPXpYTpxwHSQiIr7s2BvzWMErtGuLVksAtGlDFzOV2BjL9OmuY8RbbjbDsseNX8f/zW2cl7tEktapU8xt+jUfUoPRow333+86SP5RunQwZw5jItpxT6YLtGgBV6+6jhIR8TGrVtFjSSmOm/wsXpGO9Nq60rfkz4/f8KHMu1Cb6Mg42rXT0nAREfkHBw4Q9nEBrPGjU8+0rmt8Q/78FK75ADXTrGfWLKutwlKofxywtNa2vfHbF621z/75BlRNmjyRJGAtv9XrT/erw3iuzFU6d0/lU+yTg2efJbhVfRZE1OXQIUufPq6DRER8yJkzbGj+NvNpRZ/elieecB0kf6tzZ4qUzMiItMNYuxbeftt1kIiI+KLocVOYSyuqVY6hQAHXNT4kNJRu0aM5f97oGppCJeTQne8SeJ9IsmSnTqPdpkb4BwWycEUG/FLvgWvJy9ixlM+xj6453mX6dPj8c9dBIiK+4XpodzpcHk2RAlEMGuLvOkf+SUAAzJ5NlysjKZvrEF27on24RETkv124wPuLIjjLXXTortmV/9mGgD0AACAASURBVKVSJcoXPknJDL8waZJWKqREN9vDMpcx5lEgnTGmpDGm1I3bM4AWFknKsGcPi3vt4nMqMXpCGvLlcx0kCZYlC0ydysizrSiW4wItW0JEhOsoERHH3nuPN98vxq8UZea8tATp/DjfVro0/p1CmX+6GteuxtOhg15wiYjIn8yZw8yYVhTKF8Xzz7uO8TF+fpjQ9nS/Ooy9e+HTT10HSWK72VyyF/DsVZkPmMD/7V/ZA+jv/TQRL4uK4my9zvSIHUO5x6Np2864LpLbVbcu6Wo8z6KI2hw/bunZ03WQiIhDFy5woN0ERpn+NKwfT6VKroMkQYYP5748EQzNNoUPPoBly1wHiYiIT4iJYc/ET/mKZ2jXOa1WAv6d5s2pl3Y1udOHM3my6xhJbDfbw3LRjf0qm/9lD8sa1tpVSdgo4h1DhtBjT0su+2dm9oI0ugAkR8bA9OmUSbOT3vmXMXcufPyx6ygRETdst+50uDCMdBn8GT9RF7VkI2NGmDKFHqd68Vj+U3TqBGfPuo4SERHnVq1i1plapAmIo0UL1zE+Kls20tR/mbYxM1i/3nL4sOsgSUy3/GnWWvueMaaaMeY1Y8yg/9ySIk7Ea7Zt45M3d7KExvQf4KdTwZOzfPlg9GiGHG1GibwXad0awsNdR4mIJLGPP2bJW3F8YSvy5lh/cuVyHSS35eWXCaj+IgvOvcTly5YePVwHiYiIa1fGh7HYrzmvvOpHjhyua3xYhw60iZmOn7GEhbmOkcR0ywFLY8wsoB7QGTDAK8DdXu4S8Z7r17naNJT2fmHcVyyOfv1cB8kda9eOtOUeY9HlOpw5o1PDRSSViYjgQuvX6OE/mTJPxNO2resguW3GwLRplPDbR5+7l7FkiQ6TExFJ1TZv5t1thYmID6FDR21ddlOPPUbeUrl4KcNG5s2zREW5DpLEkpD1Qk9aa5sCF621Q4CyQDHvZol40ZAhvLG/PkfiCjB7rj9pddha8ufnB3Pm8Oj1b+ledC2zZ8OmTa6jRESSSN++9DvZmQtkZVaYn7Y4Sa7uvhuGDKHfry0onOsKoaFw/brrKBERccFOmswMv8489EAcZcu6rvFxxkCHDoReHs0ffxhWaQPDFCMhP9L+50ela8aYPEAMkNt7SSJetHUrO0ZvYKLpQdu28PTTroMk0RQvDgMHMnh/PQredY22bdG7ayKS8n35Jd/N/JHZtKVbN8PDD7sOkjvStSvpHr6X6THt+PVXGDPGdZCIiCS548fZsuIYP8Y/RGhHf4wmWN5agwZUCtlK4ZAzzJzpOkYSS0IGLD80xmQGxgI/AEeAd7wZJeIV168T26wVbQLmc9ddMHq06yBJdH36kKHEPcyKb8f+/TBqlOsgEREvunaNmFbtaZ9mPvnzxTN4sOsguWOBgRAWxgvn36HefT8yciT8+qvrKBERSVLTpzMzvh3BGeJp1Mh1TDKRPj1+jRvSPnISmzbB7t2ugyQx3HTA0hjjB3xurQ231r6HZ+/K+6y1OnRHkp/Bg5m0/wV2xjzI1Gl+ZM7sOkgSXZo0MGsWL5x7m0YldjJyJOzb5zpKRMRLBg1i0qGX+Dn6PqZO8yM42HWQJIonnoCWLZn460ukDYyjQwew1nWUiIgkiWvXOD9zOcv86tO0mR8hIa6DkpHWrWkeO4e0AbE6fCeFuOmApbU2Hpj+p4+jrLWXvF4lkti2bOHwmBUM8h9BjRrw8suug8RrnnoKmjdnwoHqhKSPpW1biI93HSUiksi2bOHohPcYHDCcmjWhZk3XQZKoRo0id/BlRuadwYYNsHSp6yAREUkSb73Fwku1iIpPQ2io65hkplQpspcswCshn7B4MVy54jpI7lRCloR/boypY4x2TpBk6vp1bLPmtE87H/90aZg+He0DktKNGUPOkEjG5x7PN9/AnDmug0REElFUFLZFSzqlnY1Jm4YpU1wHSaLLmROGDaP9gW6ULnyR7t0hPNx1lIiIeFV8PPETJzMrbVeeesrywAOug5KhVq0IvTiCiAh4913XMXKnEjJg2Q5YAUQZYyKMMZeNMRFe7hJJPIMGseTAo3x6vQKjRhny5XMdJF6XIweMGkWz/X2pWOI0r70GJ0+6jhIRSSQjRvDBvmJ8dL0yQ4YYChRwHSReERqK/4MlCLvamHPnLAMGuA4SERGv+uwzNhzIx8GoAoSGaobNv9KwIWXT7uTBrCeYOVNbqiR3txywtNaGWGv9rLVprLUZb3ycMSniRO7Y5s38MW4h3YNmUqYMmlafmrRujXn8ccJO1yI62tK1q+sgEZFEsGsXl0dOpUv6uTz0EHTp4jpIvCYgAKZNo9TpdXR+bDMzZ8LWra6jRETEayZNYmba7uTIYalTx3VMMpUlC+aVuoReG8/OnbBtm+sguRMJmWEpkjxFRkLz5vRMP4Pw2GBmzwZ/f9dRkmT8/WHGDIpc3Magkh+xciWsWeM6SkTkDsTGQqtWvJFmFCcisxIW5jlUWlKw8uWhYUOG7qxB7pyxtGvn+WsgIiIpzL59HF//M2uiX6BVK0PatK6DkrHWrWl8fQ7BQTHMnOk6Ru6EBiwl5Ro0iA0H8rH4al369DE8+KDrIElyjz4KoaH02lyXB4tE0rEjRGhDCxFJrsaPZ+eOOCZfb0e7doYyZVwHSZIYM4aMgZFMzj+eH3+EadNcB4mISKKbMoU5/qFYDO3auY5J5sqXJ6RILhpnWcfSpXDhgusg+be8OmBpjKlijDlgjDlojOn7D4951Riz1xizxxjzjjd7JBX5/nuujZtBu5B3KVoUBg50HSTODB9OYI7MzEnbiRMnrP4uiEjydOAAcYOG0C7LcrLnMIwc6TpIkkzevDBoEHW29+XF0md5/XU4ftx1lIiIJJoLF4hZ9A5z0nbkxRcNBQu6DkrmjIFWrWh/ahDXr8Pixa6D5N+66YClMcbfGLP/33xhY4w/MB14EbgfaGCMuf8vjykK9APKWWtLAN3+zXOJ/JcbS8GHZhzLocs5mD0bgoJcR4kzmTPD+PE8sWc+nZ7dw7RpsGWL6ygRkdsQHw+tWhHm34FtF4sycSJkyeI6SpJUt26YYsWYfq4esbGWbvqJWUQk5Zg7lzWRlTh1LbPOXEgszZrxsP8eyuY5yqxZOnwnubrpgKW1Ng44YIz5N+dPPg4ctNYestZGA0uBmn95TBtgurX24o3nO/svnkfkv73+Oj/+ko5xV9rTqhU884zrIHGuUSOoUIERP1Qlb+442rSBmBjXUSIiCTR9Oqe/PUg/RlKpEjRo4DpIklyaNDB1Kvcc/ZJBFb7ivfdg7VrXUSIicsdiYmDqVGZkGcDdd8OLL7oOSiFy54bq1Qm9MpYDB2DjRtdB8m8kZEl4FmCPMeZzY8ya/9wS8Hl5gd//9PHxG/f9WTGgmDHmW2PMZmNMlb/7QsaYtsaY7caY7efOnUvAU0uq9d13xI2fRJscH5Atux9jxrgOEp9gDMyYQciVU0y/fzo//wzjxrmOkpRM1y1JNEeOQL9+dM+1lKj4QGbM8PyTJqnQ889D7dr0/LoWxYvG0LEjXLvmOkpSAl2zRBx6/30OHE/PFxdL0a6dDolNVK1b80rEXLIGR+vwnWQqIQOWrwPVgaHA+D/dEkMAUBR4BmgAzDHGZP7rg6y1s621pa21pXPkyJFITy0pTmQktGjB1CyD2H6uIFOmQNasrqPEZ9x/P/ToQY0NXanzzB8MGQK//uo6SlIqXbckUVgLbdrwadxzLD39DP37G4oWdR0lTk2YQBobxax8Izh6FIYNcx0kKYGuWSIOTZrErEx9CQy0tGrlOiaFqVKFoDzZaJHjIz74AE6dch0kt+uWA5bW2q+A/UDIjdu+G/fdygkg/58+znfjvj87Dqyx1sZYaw8Dv+AZwBS5fQMHcvSX6wyM7E/VqvDqq66DxOe8/jrkz8/UM/UICrK0b6/9TETEh82fT+SGb+gQsphixaBPH9dB4lzBgtC3L+U3DqFFlVOMGwd79riOEhGRf2XLFq59/yMLoxtQp44hZ07XQSlMQAA0b067I/2IjYV581wHye265YClMeZVYCvwCvAqsMUYUzcBX3sbUNQYc48xJg1QH/jrUvIP8MyuxBiTHc8S8UMJrhf5j2++wU6YSGiBteAfoCVz8veCg2HyZHLv+4LRz3/BF1/o1DgR8VEnT0LPnowsEMZv5zIxcyakTes6SnzCa69BwYKMOfwKGTN63nyLj3cdJSIit23yZJYGtSA8MkiH7XhLy5YUtb9QufAhZs+GuDjXQXI7ErIkfADwmLW2mbW2KZ7DdF6/1SdZa2OBTsAnwD5gubV2jzFmqDGmxo2HfQKcN8bsBTYCva215//NNyKp2LVr0KIFy7J35ONjDzB8ONx9t+so8Vm1akHVqrRZV5tyj0XRowec1XFfIuJLrIXQUPZfL8joU01o3BgqVnQdJT4jXTqYNInsB75l7PMb+OYbWLjQdZSIiNyWY8ewy1cwLWM/HngAnn7adVAKVbgwVKxI+8tj+f13WLfOdZDcjoQMWPr95fTu8wn8PKy166y1xay1ha21I27cN8hau+bG7621toe19n5r7YPW2qW3/R2IDBjAhYPn6Ro3nsceg86dXQeJTzMGpk7FLy6G2dn6c/ky9OjhOkpE5E/eeov4NR/SPu+HBAcbxifWzuGSctSoAVWq0HztKzz1RDS9e8Mff7iOEhGRBJs0ic32CXaezUenTlod6FWtW1Pj7BzyZLuuw3eSmYQMPK43xnxijGlujGkOrAU0Li2+YdMmmDyZXvet5XxEGubM0clqkgCFCkH//ty/fgL96/3GkiXwySeuo0REgGPHoHNn5hV5k68O5WfMGLSnlfwvY2DyZPyuX2NWriFERHhWiouISDJw8SLMns20AmPImBEaNXIdlMLVrk1Aloy0yfUR69fD4cOugyShEnLoTm9gNvDQjdtsa622fRf3rl2Dli35JGcTFuwvy2uvwcMPu46SZKN3byhShH7f1+DeYvG0bw9Xr7qOEpFULT4eWrTgZGxOep/pybPPohND5Z8VKwY9elBi9Uh6NTjBggXw9deuo0RE5JZmzeLM1QysOF6GFi082+yLFwUFQZMmtP7lNfz8LGFhroMkoRK6tPu9G0u3e1hr3/d2lEiC9O9PxMEztLFhFC8Ogwa5DpJkJSgIpk8n7W97mf302xw5AoMHu44SkVRt2jT44gs63/cpUTH+hIVpiZjcwsCBkCcPr//8KgULeg7giY52HSUiIv/o+nWYPJk5RccQE+tHhw6ug1KJVq3IF3OYl+4/xLx5nv8M4vv+ccDSGPPNjV8vG2Mi/nS7bIyJSLpEkb+xcSNMmUKfEms5fi6I+fM9408it+X55+GVVyi/pB1t6kUwYQL88IPrKBFJlfbvhz59eP/R4az64R4GD4aiRV1Hic8LDobx40n/43dMq76effvQnqciIr7srbeIPfMHsy7W4/nnPZPlJQk89BA89hidLo/ijz9g2TLXQZIQ/zhgaa196savIdbajH+6hVhrMyZdoshfnD8PTZrwRd4mzNrzNN27Q5kyrqMk2Zo4EQICGHOxDTlzWtq2hdhY11EikqrExECTJoSny03H43155BEdBia3oV49qFCBau80ps5LUQwdCgcPuo4SEZH/ERcH48axulAPTvwRRKdOroNSmdatqXhkHvffc42pU8Fa10FyKzddEm6M8TfG7E+qGJFbshbatOHqmSu0trMpUgSGDXMdJcla3rwwZAiZP13OlCbb2bEDJk92HSUiqcqoUbB9O31Lf8aZc/7MnQuBga6jJNkwBqZOhUuXmJx5MGnSQJs2ni1RRUTEh6xZA7/8wrSgXtx9N1St6joolalfH5M+PZ3zrGLHDvj+e9dBcis3HbC01sYBB4wxBZKoR+Tm5s6F999nQJnPOXwiLfPmQfr0rqMk2evcGR54gLpL61KjWiwDB8KBA66jRCRV2L4dhg3j60pDCfusMD16wKOPuo6SZOfBB6FjR/K+PZrxXY7y5ZcwZ47rKBER+f+shdGj2Z2vCl/uzUmHDuDv7zoqlcmYEerVo/GPvciUyTJ1qusguZWEHLqTBdhjjPncGLPmPzdvh4n8j/37oVs3vi3dlSnflqJTJyhf3nWUpAiBgTBzJub3Y4TdM5r06aF5c8+qDRERr4mMhKZNuZ6zAG2O9KdQIRgyxHWUJFtDhkD27LT6vCHPPWfp3Rt+/911lIiIAPDNN7BlCzPuGUtQELRq5ToolWrViuCrZ2j1+G5WroSTJ10Hyc0kZMDydaA6MBQY/6ebSNKJioKGDYkMykLLC+MoUMAwapTrKElRnnoKmjcn16zBTOt7nM2bYcIE11EikqINGAD79jG8wmf8ctBzKrhWDci/ljkzjB6N+f475lRZRVwctG+vPbpERHzCmDFcynoPi38oQf36kC2b66BU6sknoUQJOp4aSFycZdYs10FyM7ccsLTWfgUcAQJv/H4boHN0JWkNHAg7d/JGhS/55VAAc+d6DsYUSVRjxkBICPVXN+Dl2pbXX4e9e11HiUiKtHEjTJzIT/VGMHpFIZo3h0qVXEdJstesGTz5JPe82Y6R/a+wbh0sWeI6SkQklduzBz76iMVPTOfqVaPDdlwyBjp0oNDuNVQvF05YmGdulPimWw5YGmPaACuBsBt35QU+8GaUyH/ZsAHGjWPry28yfnUR2rTRizrxkhw5YOJEzLffMKP0fIKDPUvDdWq4iCSqiAho3py4IvfS+mAfsmaFceNcR0mK4Ofn2bwyIoJOe0IpWxa6doUzZ1yHiYikYuPGEZ8uA9N+eZ4nntBe1c41aQIhIXQOmsPZs7B8uesg+ScJWRLeESgHRABYa38FcnozSuT/++MPaNqUqHsfouW+3uTJA2PHuo6SFK1pU6hShbtGdmXG4LNs26aBBBFJZN26wfHjTK22nm07/Jk8WUvDJBHdfz/074//u28zr/kmrlxBs3lERFw5cQKWLOHz50fzy2/++vfYF4SEQNOmVPp6EMWLxTJlirZP8VUJGbCMstZG/+cDY0wAoP+c4n3WenYjPn+e4eU/Zc8+P8LCIFMm12GSohkDYWFgDK+ubsQrr1jeeAN273YdJiIpwurVsGABR0JHM2BOQapVg3r1XEdJitOvHxQvTvGRTRjcL4qVK2HVKtdRIiKp0OTJEBfH9GvNyZEDXnnFdZAAEBqKiY6iU/Ev2L4dtmxxHSR/JyEDll8ZY/oD6YwxlYEVwIfezRLBM2i0Zg07O89n1Py7aNoUqlZ1HSWpQoECnqm8GzYw/cl3yJTJszQ8JsZ1mIgka2fPQps22Icfof0vPfDzgxkzPO+TiCSqtGlh9mw4epReFwdQsiR06AAXLrgOExFJRS5dglmzOFK1Ax9+noE2bTz/PIsPKFECnnmGpj90I2NGy5QproPk7yRkwLIvcA74GWgHrLPWDvBqlcjevdC9OzGVq9Ly84b/2VpQJOm0bQvPPEOONzowc/h5duyA0aNdR4lIsmWt58jmS5dYUm8Nn3zmx6hRnvdHRLziqacgNJTAaROZ33M3589Djx6uo0REUpGwMLh8mVnZPMMn7ds77pH/1rEjwb/vo+Uzh1mxAk6edB0kf5WQAcvO1to51tpXrLV1rbVzjDFdvV4mqVdUFDRsCCEhjC65lB9/NMycCVmzug6TVMXPD+bOhZgY6nzYnPr1LUOHwq5drsNEJFl66y14/33O9ZtAt/H5KVsWQkNdR0mKN2oU5MrFI2Ma0adXHIsWwfr1rqNERFKBqCiYNInrz77I3I9yUbMm5M/vOkr+S82akCcPHS8OJy7OM74sviUhA5bN/ua+5oncIfJ/+vWDXbvYM3gFQyeGUK8e1KrlOkpSpcKFYcQI+OgjplVYSdasWhouIv/CsWPQuTM8/TQ9DoYSEeE5yNnf33WYpHiZMnn2HfjpJ15PP57ixT0LCCIiXIeJiKRwS5bAqVMse3QM58/r8DOfFBgIbdtSZNMCqla4SliYZ5xZfMc/DlgaYxoYYz4E7jHGrPnT7UtAO+CId6xfDxMnEtuhCy0WViBTJpg61XWUpGpdukCZMmQb0J6w0eH8+COMHOk6SkSSjfh4aNEC4uNZ32IZby/xo39/z9ZJIkmiZk2oU4e0IwYxb/DvHD8Offu6jhIRScHi4z374T/yCNO+LEHx4vDss66j5G+1bQsBAXTJtoQzZ2DFCtdB8mc3m2H5HTAe2H/j1//cegAveD9NUp2zZz3T1x54gIl5x7FtG0ybBjlyuA6TVM3fH+bPhytXqLm2LY0bw/DhsHOn6zARSRamTYMvvuDKqKm0H5Kb4sU9CwlEktTUqRAURNmZTenW1TJzJnz1lesoEZEU6qOPYP9+tr78Jtu3Gzp21AF7Pit3bnj5ZSp93o97i8VrspSP+ccBS2vtUWvtl0AlYJO19ivgFJAP0P9ukris9cxACQ/nwIiVvD40kNq14dVXXYeJAMWLwxtvwIoVTK70IdmzQ7NmEB3tOkxEfNr+/dCnD1SrxusHm3HsmGdrXJ0QKkkud27PbJ8vv2R40UUUKgStW8O1a67DRERSoDFj4O67mXagMiEh0LSp6yC5qQ4d8Au/QOfHtrB1K2zZ4jpI/iMhe1h+DQQZY/ICnwJNgIXejJJUaPp0WLeOuNHjaDXmXtKn99yld6LEZ/TuDSVLkrVPG2aPv8zPP8OwYa6jRMRnxcRAkyaQIQNbOixi8hRDhw7w5JOuwyTVatUKypcn/YDuzB1zgYMHPe/FiYhIIvr2W/j2W862GcCyFX40bQohIa6j5KbKl4cSJWi6+zVCQqxmWfqQhAxYGmvtNeBlYIa19hVAOy9J4tm9G3r1gqpVmU5Hvv0WJk3yTAYQ8RmBgZ6l4efP89InnWjWzHP46vbtrsNExCfd+AciemoYbfpmI29e7X8rjvn5wezZEBnJs8va07YtTJgA27a5DhMRSUHGjoWsWZkT3YzoaOjY0XWQ3JIx0LEjIbu+oWXV0yxfDqdPu44SSOCApTGmLNAIWHvjPp1rKYkjMhIaNIDMmfntjcX062+oWtUzKUXE5zzyiOekgsWLmVT1U+66y7Ptqk6TE5H/sn27Zwp2o0aMPVSHn3+GmTMhY0bXYZLq3XsvvP46rFjBmGfWkTs3tGypLU5ERBLF/v2wejXX2nZj8sw0vPCCZ2cpSQYaN4aQEDpen0BMDISFuQ4SSNiAZTegH/C+tXaPMaYQsNG7WZJq9OkDu3cTP38hbfpmIyDA84+DloKLzxo4EO6/n8w9WzF3yjX27IEhQ1xHiYjPiIz0bFZ1113s7zydoUOhXj2oXt11mMgNvXvDgw+SqXdbwiZeY/duzf4VEUkU48dDUBDzM3bj3Dno3991kCTYjc1Gi348haqVopg1S2/m+YJbDlhaa7+y1tYAphtjgq21h6y1XZKgTVK6tWs9p1Z27cqc36uwcaPn3/h8+VyHidxE2rSepeEnT/LiZz1o2RJGj4atW12HiYhPGDAA9u0jatYCGoZmIjgYJk92HSXyJ2nSwJw5cPIk1b56jUaNYMQI+Okn12EiIsnYqVOweDExTVsxdlYI5crB00+7jpLb0qEDREfTOf9qTp+GlStdB8ktByyNMQ8aY3YCe4C9xpgdxpgE7WFpjKlijDlgjDlojOl7k8fVMcZYY0zphKdLsnb6tOdU8Ice4kDL0fTqBc8959kPXsTnPfEEdO8OYWFMqPkVefJ4Tg2/ft11mIg4tXEjTJwIHTrQ9/PK7NwJCxfCXXe5DhP5iyeegC5dYMYMJjfaStasnqXhsbGuw0REkqn/x959h+d8dgEc//5ihQi1a1MVqhIJSbRFia1qxd6ratemqKD23qNv7VUjre0tr1Wr9la7RmlrjwQh437/OBHUihK/jPO5rueKZ+Y88Ty/ce77PmfMGAgJYV6OXpw/D92766rBGCdPHvDxofS6bri4GMaOtTsgFZkl4d8BHY0xWY0xWYBOwPcve5JlWfGACUA5IA9Q27KsPM94nDPQDtDm8XFFWJgkKwMCuDttPtXrJcLREWbO1I26ikG+/Rbef5/k7RszdUIQx46Bn5/dQSmlbHPtmhS1ff99VviMYPRoyQdVqGB3YEo9R//+kDkzqTo1YvyoYPbskSY8SimlXtHFizBuHKFVazBoWjrc3OCzz+wOSv0rrVvjcP4sbYsdZscO2LLF7oDitsgkLJ2MMRE1K40xGwGnSDzPGzgVvoT8ATAfqPSMx/UDhgA6NymuGDcOfv4ZRoyg7cQPOHwY5syBjBntDkypV5AkCUydCmfOUHpDd778Ukoa/Pqr3YEppd66Bw/A1xcuXeLiqIU0auGIhwcMHWp3YEq9QNKkMHkyHD1KtRMDqVIFeveGEyfsDkwppWKYHj0gJIQlxUZz/Lhc1Yk4MVTFipAhA01+/4a0aaWHorJPZBKWv1uW1cuyrGzhl2+A3yPxvIzAH49dvxB+WwTLsvIDmY0xK1Fxw4ED0LUrVKjALKeWTJsmG/QyZewOTKl/4dNPoXVrGDOGYdV2kCmTTLC6d8/uwJTdLMv60rKs3ZZl7b5y5Yrd4aioZAy0aAGbNhE6ZTp1h3sQFATz50vJW6WitXLloHZtrIEDmNDuBI6Osh8LDrY7MPU26T5LqdewezfMmoVp155B09Lx/vtQrZrdQal/LUECaN6cJGuX0aXxVdasge3b7Q4q7opMwrIJkAb4KfySJvy212JZlgMwElli/rLH6k40Nrh3D+rUgZQpOdJlBi1bWRQrBn362B2YUq9h0CDInJlkbRsyddIDTpzQjoAKjDH/McZ4GmM806RJY3c4KioNGwbTp4OfHwN+r80vv8DEieDiYndgSkXS6NHg7Ez6Ho2ZNCGMX3+V3lEq7tB9llL/kjFS1z5NGv73sR979kC3bhAvnt2BqdfSrBnEj0+LOyNInVoqgSl7JiF7awAAIABJREFURKZL+I3wruA+QFFjTDtjzI1IvPZFIPNj1zOF3/aQM5AX2GhZ1lngI2DZsxrv6E40lujcGX77jcDv5lK9eUqcnWHePIgf3+7AlHoNzs7SbfX4cUpu6UPr1nLut3ix3YEppaLckiXw9ddQsyabS/Shb1+oXx8aNLA7MKVeQdq0Urxy2zZq3fqOli0lD79smd2BKaVUNPfjj1LksF8/Bo5xImNGOQ5QMVz69ODrS9I5k+nU9gH//S/s2mV3UHFTZLqEe1mWdQg4AByyLOuAZVkFIvHau4CclmVltywrIVALiDj0McbcMsakNsZkM8ZkA7YDFY0xu//VO1HR29y5MHEipmMnWvkX59gxuSl9ersDU+oNKF1a2qsOHcqIunvx9pau4ceO2R2YUirK7NsHdeuClxfXhk+nTl2L996DCRPsDkypf6FBAyhZErp1Y1SnCxQoIPuxM2fsDkwppaKpoCApdZY3L9s+aMovv8j8HC0HE0u0bg03b9I61XxSptRalnaJzJLwqUCrxxKLrYHpL3uSMSYEaAOsBo4CC40xRyzL+tayrIqvEbOKadaskYJIxYoxLecgZs+WZeAlStgdmFJv0IgRkDYtiVo0xn/eAxwdpQdHQIDdgSml3rg//5T236lSYZYspWmbxFy6BAsWyKRrpWIcy5IGPCEhJOrYmkULDcZA9epyTq6UUuofxo6VUZ2RIxk0LD6pUslKYhVLFCkCefPiPG0MHdobli+XsWr1dkUmYRlqjNn88IoxZgsQEpkXN8asMsa4GGNyGGMGhN/mZ4x5apGJMaaYzq6MhXbvlqzNhx9ysP8y2nRIQMmSWhtJxULvvCMnewcPknnuYObPh+PHZeKlMXYHp5R6Y+7elQ6St27BihVM+PFdli6VjuD589sdnFKvIUcO6NsXli0j+94fmTkT9uyBjh3tDkwppaKZy5ehf38oX54DaUuxYgW0awdOTnYHpt4Yy5JZlnv30vbj3SRPrrMs7RCZhOUvlmV9Z1lWMcuyilqWNRGpO5k/vMu3Us926hR89hmkTk3Aop+p3sSZFClkKbgWIlaxUsWKULs29O9P8bSHGTQI/P1l8qVSKhYIC5Ols3v3wg8/sD/MjU6d4PPP5URFqRivQwfw8IC2ban06Q06d4ZJk+CHH+wOTCmlohE/P2koO3w4gwdD0qTQpo3dQak3rm5dcHYm+cyxtG8vPQoOHrQ7qLglMgnLfIAL0BvoA3wAeAAjgOFRFpmK2S5dgjJlICwM8/NqvvR7l1On5IA3bVq7g1MqCo0dK7MtmzShS4cQqlaVboEbNtgdmFLqtfXqJQX2R4wgsNjn1KoFqVNLk3DLsjs4pd6A+PFhyhS4cgW6dWPgQChcWJY5al1mpZQCDh2ShpstW3Iqfm4WLoRWrSBFCrsDU2+cs7MUdF64kHa1L+PsLBNr1dsTmS7hPi+4FH8bQaoYJiBAZlb+/TesXMl3G3Mxf758uYsWtTs4paJY6tQwbhzs2oU1ehTTp4OLC9SsCRcu2B2cUupfmzULBg6EL7+E9u1p2xZOnJBVA6lT2x2cUm9Q/vwy0/L770mwaR3z50PixFCtGty5Y3dwSillI2OgUydInhx692boUEiQQDaZKpb66isIDSXFpIF89ZWsnjtyxO6g4o7IzLCMYFnWiqgKRMUSDx5IzcoDB8Dfn70JCtKuHZQrJ7PMlIoTatSAypXBzw/nU/tYvFhWjVSrBvfv2x2cUuqVbd4MX3wBxYvD+PHMnWcxY4ZMuCxWzO7glIoCfftC7txQqxYZQ84xbx789pvMItK6zEqpOGvVKvjf/8DPj4tBqZgxQ+rVv/uu3YGpKJMzJzRuDJMm0aHaHyRJorMs36ZXSlgCGaMkChU7hIVJN/C1a2HqVG59Uo7q1WUJ+KxZ4PCqnzalYqqH3VbTpIGKFcmd/C9mzIAdO6B9e7uDU0q9ktOnoUoVyJ4d/P05dS4BLVpI88hevewOTqkokiQJLFkiA9GVK1Oq0F38/OR4bupUu4NTSikbBAfL7MqcOaFVK0aOlNPfLl3sDkxFOT8/sCxSjetDmzawYIGWSXlbXjWFpI3c1bMZA507S5HKwYMxDRrStCmcPy9faF0up+KcdOlg2TK4fh2qVKFq+SC6dpU85owZdgenlIqUmzehQgU5I1mxggdOKahVS5Z/zZ0r5f6UirVy5ZLjugMHoEkTen1jKFlSGkvs3293cEop9ZZNngzHj8Pw4VwLSMjkyVCnjoxnqlguc2ZZYjBjBh0rnCRxYhgwwO6g4oZXSlgaY5pEVSAqhhsxAkaNkhoPXbsybpz0JRg0CD75xO7glLKJuzvMni1TK5s2ZUB/g48PtGghTYaVUtFYSIiUdzh5En76CXLmpHt32LNHmuxkzmx3gEq9BZ99JgdzCxYQb/gQ5s6FVKmgenW4dcvu4JRS6i25cQP69JHSMBUqMHYs3L2rJc/ilO7dIUkS0o7pScuWMG+eHCKqqPXShKVlWYcsyzr4j8tmy7JGWZaV6m0EqaK52bNlLnyNGjBqFDt3WXTuLJNSOnWyOzilbObrK0Nw8+YRf9gg5s+XleK+vnDtmt3BKaWeyRgZgPvf/2RGRbFirFoFI0fK7LJKlewOUKm3qGtXqFULevQg7a6VLFgAZ85A06Zaz1IpFUd8+60kLUeOJCDQYtw4KVf/4Yd2B6bemjRppLvSokV0Ln2QhAmlF6OKWpGZYflfYCVQN/yyHNgN/A3MiLLIVMzw889Sabh4cZg1ixu3HKhRAzJkkGWvlmV3gEpFA927Q9260LMnabf8xI8/wl9/yTKS0FC7g1NKPWX8eJg0SQbjmjblzz+hYUPIlw+GDbM7OKXeMsuSwpXu7lCnDoVTH2PQIFlJM3as3cEppVQUO3FCjguaNoV8+fjuO8lddu9ud2DqrevUCVKm5N1R3WjRQuZt/f673UHFbpFJWJY0xnQ3xhwKv/QEihpjhgDZojY8Fa3t2iVtj/PmhcWLMQkT0agR/Pmn1K1MmdLuAJWKJiwLpkyBggWhfn28E+xj3DhYs0ZWlyilopH//le6Y1WqBIMGERoK9erJ0q/588HR0e4AlbLBwyY8iRJBpUp0/uImFStK+fLt2+0OTimlolCXLrLz79eP69dh8GAoVQq8ve0OTL11yZPD11/Dzz/Tpch24seXqikq6kQmYRnPsqyIr6NlWV5AvPCrIVESlYr+Tp6UukZp08rJXbJkjBwpPUaGDZO8jFLqMY6OcrKXMiVUrEizCn/TpAn07y/fG6VUNHD4MNSsCW5uMGcOxIvH4MGwYQNMmAC5c9sdoFI2ypJFplX+/jtWvbrMmBpKpkxSEUhLnCilYqX16+VAvUcPePddeveW2ZXDh9sdmLJNmzaQIQMZRnam2ReGGTPg3Dm7g4q9IpOw/AKYalnWGcuyzgJTgS8sy3ICNJ8cF/39N5QpI//++Wd4911+/VUGG3x9peyXUuoZ3n03onO4VaUyE0YEUaAA1K+vRZuVst3ly/D555A0KSxfDkmTsnIl9O4t5RsaNrQ7QKWigSJFYNw4WLWKFCO+YdEiuHRJ9mNhYXYHp5RSb1BoKHTsCFmzQocOHDoEEydCy5YyrqniqMSJoVcv2LqVbt4bcHCQWbcqarw0YWmM2WWMcQXcgXzGGLfw2+4YYxZGfYgqWrl9G8qVk6PTVavAxYVLl2RCSpYsUuJI61Yq9QIeHhGdwx3bfIH/IkP8+JLsv3PH7uCUiqOCgqBKFUlaLlsGmTKxdat0QnZ3l747um9TKlyLFtC8OQwejOfJHxg1Shbb6AmbUipWmTEDDhyAIUMwiRz56it45x3pv6PiuKZN4b33yDSyI00aG6ZOhfPn7Q4qdopMl/DklmWNBNYB6yzLGmFZVvKoD01FO/fvywnd4cOyJMjLi+vXoXRpWQq0cKFsxJVSL+HrK2vB584l2/zB/PADHDkCX3yhHVeVeuuMkS/ftm0waxZ4enLokEy2zJxZEjHOznYHqVQ0M3YsFC4MTZvS8qN91KolE042bLA7MKWUegMCAqBnT/jkE6hRA39/2LgRBgzQPg0KSJBAMtcHDtDddQXx4kk/HvXmRWZJ+DQgAKgRfrkNTI/KoFQ0FBYm6+HWr4dp06BsWQICpIzlsWNSmq9AAbuDVCoG6dFD1pn26EHpu0vo318aeowZY3dgSsUxAwbA3Lnys1o1zpyRqidJkkhjrDRp7A5QqWgoYULw94fUqbGqVOY/A66QMyfUrg1//WV3cEop9ZoGD5YVhaNGcfeeRadOkC8fNGtmd2Aq2qhdG1xdyTKmE990D8XfXxagqjcrMgnLHMaY3saY38MvfYH3ojowFY0YI/U7FiyAIUOgfn3u3YOKFWH3brm5VCm7g1QqhnnYOdzbG+rV4+tyB6hUSTqubtpkd3BKxRELF8q0sPr1oXt3Ll+WVQNBQZKszJrV7gCVisbSpZMR68uXcW5UFf8fgiMGs2/csDs4pZT6l86dgxEjoG5d8PZmyBD44w8p3xsv3sufruIIBwdZMXfyJJ3TzCR3bunHc/eu3YHFLpFJWN6zLKvwwyuWZRUC7kVdSCraGTZMpn21bw9duvDggdT1+uUXmDkTKle2O0ClYqjEieVkL0UKHCpVYObQS+TIIR1XT52yOzilYrmdO2XlQKFC8P333A6wKFsWLl6EFSvgww/tDlCpGCB/fll5s3kzeb9vx48/wm+/QdmyUvZcKaVinK+/lmTUoEGcOSPzdWrXlp5jSj2hQgX46CMSDezNpDEPOHNGFuyoNycyCcsWwATLss6GdwkfDzSP0qhU9DFrFnTrBrVqwYgRhIZZ1K8PK1fCpEky8KSUeg3p08PSpXD1KskbVmbx/PuEhICPjyYtlYoy58/LMoH06WHxYoJMIipXhkOHpETzJ5/YHaBSMUjt2tC1K0yaRNlz37FoEezdKzMtAwPtDk4ppV7Br79KjabOnSFzZjp3llmVQ4faHZiKliwLBg6ECxcodmQCDRrIXK+jR+0OLPaITJfwA8aYfIAb4GaM8QCKR3lkyn7//S80aQIlSsCMGYThwJdfygq6YcOkQaRS6g3In186h2/fTp6RX7BureHePU1aKhUlAgJkRPzePVi+nNCUaahbV5qFzJgB5crZHaBSMdDAgTKtsk0bKqbcwrx5ct5fsaJ81ZRSKtoLC4MOHWQws2tX1q6Fn36S3juZMtkdnIq2fHygZEkYOJBhvQNJmhRattRGqm9KZGZYAmCMuW2Mebi4o2MUxaOii507oVo1cHODn37CJExEhw6y6sfPTwadlFJvUNWq0m1uzhzy/TyEdevQpKVSb1pIiCwNOHwYFi7E5PmQli3lhGT0aF01oNS/Fi8e/PADZM8OVatS/aM/mDlTuupWqQL379sdoFJKvcTYsbBjBwwcSHCipLRrB++9J60clHqhgQPh6lXSzhnJkCFSOm/2bLuDih0inbD8B+uNRqGilxMnoHx5Kaa+ahUkS4afn2zD27eHPn3sDlCpWOqbb6T8Qo8e5Du7VJOWSr1Jly9L++/ly6Uuc5kyfPMNfP899OgB7drZHaBSMdw778CyZdK1qnJl6vne5fvvYfVqqc0cHGx3gEop9RxLl0pmslIlaNCAiROlHu+oUeDoaHdwKtrz8pLRueHDaVr5Gh9/DJ06wfXrdgcW8/3bhKVOcI2t/vpLTugsS44w332XoUOlAdYXX8DIkXKXUioKWJZMY/b0hLp1yceBiKRlsWKatFTqX9uxAwoUgG3bYPp0aNOG0aNlQLxZM9nHKaXegNy5Ye5c2LcPmjWjaRPD+PGSx6xbVyY5K6VUtLJrl9Ti9fSEefO4fNWB3r3llLhCBbuDUzFG//4QGIjD0MFMngw3bkj/JvV6npuwtCwrwLKs28+4BAAZ3mKM6m25dUuKd125IjMrc+Zk8uRHPXcmT9ZkpVJRLnFiGeV95x2oWJF8715i/XqZsKJJS6VekTHSIa5IEUiQQIrqNWrEnDlSpsrXV+7WfZtSb9Dnn8uJ27x5MHw4rVvDiBGwaBE0bgyhoXYHqJRS4c6ckW1WunSyAiNJEnr2hDt3pFSMHh+oSMuTB+rXh/HjcUt1kfbtZRXPtm12BxazPTdhaYxxNsYke8bF2RgT/20Gqd6C+/dlGvORI1LMy9OTOXOgVSsZWZo1S8oTKaXegvTpZTrKlSvg64tbrvuatFTqVd29Cw0byo6sVCnYswfc3Vm1SpImPj4yEUz3bUpFge7doXp1GfX++Wc6doQBA2DOHGjRQnpbKKWUrW7ckDJoDx7IZJ106di9G6ZOlTIxuXPbHaCKcfr0kVG5fv3o00eaNbVooSVRXse/XRKuYpMbN6TBzoYNslSudGkWL4ZGjeSEbuFCmZiilHqL8ueXkYJt2+DLL3FzNZq0VCqyTp+Gjz+W7Mi338qsiRQp2LbtUT+5JUu0LpVSUcay5JjSzU2W6Zw4QY8eUqp5yhT46ivtoKqUstH9+7LM4tQpOSD44APCwmTblDatNJlV6pVlzw5ffglTp5L071OMGweHDknpdPXvaMIyrlu/Hlxd4eefYcIEqFePNWvk2NLLS1am6gmdUjapVg369pXE5bBhuLnJV/b+fU1aKvVcy5dLvcoLF2TGRK9e4ODA4cMykSJTJvjvfyFZMrsDVSqWc3KSRECCBNLI4vZtvv0WOneWQ84uXTRpqZSygTHSnGHjRhlYKVoUkDHOX3+FwYP1GEG9hp49Zb/Xpw+VKslq1d694fx5uwOLmaI0YWlZVlnLso5blnXKsqynSo5altXRsqzfLMs6aFnWOsuyskZlPOox9+/LEWOJEpA0KWzfDq1asWULVK4MH3wg53lJk9odqFJxXK9eULOmVG1etgw3N1i3TpOWSj0lNFSmb1WsCDlyyBLwsmUBOHtWiucnTgxr1sjsCaXUW5AtG/j7y86qbl0sE8bQodCmjdS11FlMSqm3rk8fyU726yfdwIC//4auXcHbGxo0sDc8FcOlTy81BebNwzp8iHHj5OavvrI3rJgqyhKWlmXFAyYA5YA8QG3LsvL842H7AE9jjBvgDwyNqnjUYw4flq3xiBFS22vvXihQgD17ZPZJlixyQpcihd2BKqUiltV5ekKdOnDw4FNJy5Mn7Q5SKZtdvSpN4wYMgKZNYetWSZQAly9D6dJS0nLNmoiblVJvS9Gish5uxQrw88Oy5OoXX0hvnv797Q5QKRVnzJghpWKaNJGZcEh9wRo1ICBASlY46BpU9bq6dpVpuj17kjWrzLBculQu6tVE5dfRGzhljPndGPMAmA9UevwBxpgNxpi74Ve3A5miMB4VFiZHiJ6eMoy0YoWsyUmShCNHZPZJihSwdq3OPlEqWkmcWJbVvfOOrCu4fPmJpKWPjyYtoxvLsr60LGu3ZVm7r1y5Ync4sduuXbIEfNMmacc4ZUpELZOzZ6FkSVkdvmIF5M1rb6hKxVktW0qGMrzzjoMDTJ4sDVV79ZIxdGUf3WepOGHtWmjWTA4MJk+OaAHerRts3iyHEK6uNseoYocUKaT53PLlMHEiHTrAhx9C27YQGGh3cDFLVCYsMwJ/PHb9Qvhtz9MU+O+z7tCd6Bvw55+yNK59e5lqcuiQTKdEEh2lSkHChJIAyaRpY6WinwwZZFjuyhWp23DjxhM1LTVpGb0YY/5jjPE0xnimSZPG7nBiJ2Pk7KJwYTnp2LpVEiLh1q+X8bnz5+WrU6iQjbEqFddZFowfD59+KlnKbt2IZ0KYNk1mNj2sa6nsofssFesdPgxVq0rrb3//iI6yCxbAqFGSSKpTx+YYVezSubPkW776igS/rGXyZPjjD+jQQes3v4poMeHZsqx6gCcw7Fn36070Nf30kwwXbdkio0lLl0ZMoVy+XJrrPHgA//uflP1SSkVTBQrA7Nkyo8zDA3bswNVVk5YqDrp3T5Z+f/mlfPD37JHvB3IQOGaMjM2lTStfl1KlbI5XKQWJEsHq1dCiBQwdCiVKEP/KX8yZIz152rSRCdJKKfVG/fknfPaZNAJbtQqSJwfgyBE5lPjkExg+3OYYVewTLx7MmyfNQapXp3Ca43TvLvu5sWPtDi7miB+Fr30RyPzY9Uzhtz3BsqySQE+gqDHmfhTGE/cEBEjB14f17+bMgVy5AOlN4OcHAwdC/vwy0JQ9u83xPiY4OJgLFy4QFBRkdyhKPZejoyOZMmUiQfgo7VtRtaoMPtSsKTPLhgzBtUMH1q+3KF5ccjcbNkDOnG8vJKXeqjNn5Huwb5/syPz85KAQCAqSXMjMmZIAmTVLO30qFa04OsKkSbL/+vJL8PAgwQ8/sGCBD5Ury00XL0r/rPCvtVJK/XuBgVJO6fp1WfedWdITt2+Dr680mF20SFYaKvXGJUsmM8S8vaFCBfpv287Roynp2BFcXKT8unqxqExY7gJyWpaVHUlU1gKemGhtWZYH8B1Q1hhzOQpjiXt+/RXq1ZMCXj17SqXX8KTKlSsy5X3tWlk9N25cRLmvaOPChQs4OzuTLVs2rPD6IkpFJ8YYrl27xoULF8j+trP9BQtKsqZpU+jUCTZswHXGDNavT0Xx4tKIZ/VqrdenYqFVq2TfZowUpQwvbQJSp9LXV2ZU9ukjdfG0cL5S0VTdurJSoGpVKFmSRP368ZP/1zRv6UCfPpJXmDsX0qWzO1ClVIwVEgK1asH+/ZI08vAA5BCicWM4fVrKoWXIYHOcKnbLlk1WvJYogUPN6sz2/5nCPgmoVUtSNnn+2ZZaPSHKDuWNMSFAG2A1cBRYaIw5YlnWt5ZlVQx/2DAgKbDIsqz9lmUti6p44ozgYElOFi4sTXZ++UXaL4YnK3fskBmVmzfD1KlS/iu6JSsBgoKCSJUqlSYrVbRlWRapUqWybxZwihTw44+ypmDNGvDwwDVgG+vXywxqLy+pAKE1UlSsEBYmWcjPP4csWWQJ+GPJyi1bZEX40aPSn6p3b01WKhXt5ckjIww1a0LPniSuUYGZI68xdaqUpHV3lxUDSin1yoyBr76ClSulQO5nn0XcNXy45I+GDoWiRW2MUcUdhQvDf/4D69eTtMdXLFtqSJxYJv9evWp3cNFblB7OG2NWGWNcjDE5jDEDwm/zM8YsC/93SWNMOmOMe/il4otfUb3QqVNQpAh8+63MQNm/X74cyDZ74kS5O0ECyeY3aWJzvC+hyUoV3dn+GbUsqRK+bZt8sT/9FNdVQziwL4yiRaUpq68vXLtmb5hKvZbr1yU52bcvNGggO7D33ou4e/JkKYWQPLkMylWqZGOsSqlXkzSpTKWcOBHWrsUqkJ8meXeycye884408+3XTwbilFIq0kaOlPITXbtKrZhw69fD119D9erS/ESpt6ZhQ2lJP3kyWZZPYMkSKYFStar0E1HPpvMPYgNjpHqruzucOCHtzmbOjCgofOeOnOO1bi1NCPbsiZgRr5SKDQoUgL17JTv59deka/o5q2ZeYcQIGVjOlw82brQ7SKX+hb175fO9fr1kJqdPh8SJATm4a95cEvOlSsHOnbqsRqkYybLki7x1q/y7cGFcfxnPrp2GOnWkTG3ZsnDpkt2BKqViBH9/6dBcvToMGhRx84ULskI8Vy5ZaWj3vAMVBw0cKCPr7drx0e01TJsGmzZBq1a6Ku55NGEZ0129KkmKZs2krt3Bg1CjRsTdJ07ARx/J4HW/frBsmawkVS934cIFKlWqRM6cOcmRIwft2rXjwUuGP27evMnEiRMjrv/5559Uq1btlX6vn58fa9eufeV4lyxZwm+//fbar/Ms2bJl4+pbmq/ep08fhkdBq7779+9TsmRJ3N3dWbBgAV988UXE3+ttvr8okzy5DFZMnAjr1+OQ352OXpvZvl2aIhYvLk0MgoPtDlSpSJo2TVp3hoZKHZPmzSPOLv76S2ZV/uc/0L27lKZ65x2b41VKvR5PTxmkKFMG2rYlabPazJoQwJQpUvbB3V0H35RSL7Ftm6w0/OQT6bwXXh/m/n2oVg3u3ZPl4M7ONsep4iYHB2mE7OoKNWpQx+MoPXtKAn30aLuDi540YRmT/fyzfNhXrZJiHP/7H2TKFHH34sVSx+6vv+Sh33yjNb0iyxiDr68vlStX5uTJk5w4cYLAwEB69uz5wuf9M2GZIUMG/P39X+l3f/vtt5QsWfKVY/5nwvLfvk5MFhIS8tz79u3bB8D+/fupWbMmU6ZMIU9sm471cJbKwyxlsWLk/+8A9uwKo1EjGDAAPv1UmiwrFW0FBUmr4KZNpY7J3r3SXTHczp2S19i/X3L0AwdqN2GlYo2UKWHpUpkVtWgRlrcXTQseZudOGZcrUUJKs4eF2R2oUiraOXVKZq9lzizbkccaNXTsKGVjZsyA3LntC1EpkiaVWWSJEkGFCnzb7hq+vjIpeNUqu4OLfjR9FRPduyd168qVg1Sp5OytU6eIbGRIiJRH8PWVKe979shScBV569evx9HRkcaNGwMQL148Ro0axbRp07h79y4zZsygUqVKFCtWjJw5c9K3b18Avv76a06fPo27uztdunTh7Nmz5A1v1TxjxgwqV65MqVKlyJYtG+PHj2fkyJF4eHjw0Ucfcf36dQAaNWqEv78/u3fvxt3dHXd3d1xdXSPqJX7//fd4eXmRL18+qlatyt27d9m2bRvLli2jS5cuuLu7c/r06YjXAVi3bh0eHh64urrSpEkT7t+/D8jMwt69e5M/f35cXV05duzYc/8mQ4cOxdXVFW9vb06dOgXA8uXLKViwIB4eHpQsWZJL4eu1fvnll4jYPTw8CAgIAGDYsGF4eXnh5uZG7969I157wIABuLi4ULhwYY4fP/7M39+oUSNatGiBp6cnLi4urFixIuLvWrFiRYoXL06JEiW4fv06lStXxs3NjY8++oiDBw9y+fJl6tWrx65duyL+PsWKFWP37t1P/Z45c+bg7e2Nu7vqYt40AAAgAElEQVQ7zZs3JzQmFs5yd5cvfs2a8M03JK1WlmmDLzN/Pvz2m9z9ww92B6nUM5w7J7WXv/8eevSQ0bbUqSPunj5dcpiJEkkpy8cWFCilYgsHBykyt24d3LwJ3t647p/Nrl2ynLNXL1kifvmy3YEqpaKNa9eksY4xkvV57Nhh1ixZgNSli9QLVMp2WbJIl8gLF3CoXpVZUx6QL5/s444csTu46CW+3QGoV7RvH9StK61Q27WDwYOfGD26dEk+6Bs3Sn3h0aPlxC5Ga99eptK8Se7uL5x3feTIEQoUKPDEbcmSJSNLliwRybqdO3dy+PBhkiRJgpeXF+XLl2fw4MEcPnyY/eHxnj179onXOHz4MPv27SMoKIj333+fIUOGsG/fPjp06MCsWbNo3759xGM9PT0jXqdLly6ULVsWAF9fX5o1awbAN998w9SpU2nbti0VK1bk888/f2oJelBQEI0aNWLdunW4uLjQoEEDJk2aFPG7UqdOzd69e5k4cSLDhw9nypQpz/ybJE+enEOHDkXEuWLFCgoXLsz27duxLIspU6YwdOhQRowYwfDhw5kwYQKFChUiMDAQR0dH1qxZw8mTJ9m5cyfGGCpWrMimTZtwcnJi/vz57N+/n5CQEPLnz//U3/6hs2fPsnPnTk6fPo2Pj0/E/8XevXs5ePAgKVOmpG3btnh4eLBkyRLWr19PgwYN2L9/P1OmTGH48OERic5nOXr0KAsWLGDr1q0kSJCAVq1aMXfuXBo0aPDc50Rbzs5SC8LHR7okurtTc948Ch4oRp06UKcOrF4N48bpshgVTaxeLR/MkBCZGVHxUR++4GAZlxs3TmZYLVgg43VKqVisWDE57q1dGxo0wLnZZuZMGYuPjyNt2z4afNMuv0rFcUFBMrPy/HmpeZ0zZ8Rdq1dLRZlixWRFhlLRxscfy1rwevVw6taGZUu/w8vbokIFmQ2cJo3dAUYPOsMypggNhaFDpU7lzZuy9R09+olk5bZtkD+/rAadOVMao8X4ZGU0VqpUKVKlSkXixInx9fVly5YtL32Oj48Pzs7OpEmThuTJk1OhQgUAXF1dn0puPrRgwQL27t3L4MGDAUl6FilSBFdXV+bOncuRlwzDHD9+nOzZs+Pi4gJAw4YN2bRpU8T9vr6+ABQoUOC5MQDUrl074uevv/4KSJ3PMmXK4OrqyrBhwyJiKVSoEB07dmTs2LHcvHmT+PHjs2bNGtasWYOHhwf58+fn2LFjnDx5ks2bN1OlShWSJElCsmTJqPhYkuKfatSogYODAzlz5uS9996LmBFaqlQpUqZMCcCWLVuoX78+AMWLF+fatWvcvn37hX+jh9atW8eePXvw8vLC3d2ddevW8fvvv0fqudGSZUl92x07IFkyKFGCbDP7smlDKL16wezZss14xkRTpd6esDBZ41muHGTMKLODH9sOXLokqwTGjZOk5c8/a7JSqTgjfXpYu1aK1X7/PVahT/jC5zQ7dshgW/HiUu5El4grFUeFhUGjRtK0a/ZsqV0ZbtYs+PxzWQK+YAHE16laKrqpWxd69oTvvyfTj2NYulTK+Wnn8Ef0axsTnD8PDRvKtElfX+ky8NjZmjGPTuSyZpWEZb589oX7xtlQgTZPnjxP1Z68ffs258+f5/3332fv3r0RS7Qf+uf1Z0n0WAbZwcEh4rqDg8Mz6y8ePnyYPn36sGnTJuKFF2lr1KgRS5YsIV++fMyYMYONr1mB/mEM8eLFi4ihTJkyXLp0CU9Pz4gZl4+/v4f/btu2LR07dqRixYps3LiRPn36ALI0vnz58qxatYpChQqxevVqjDF0796d5s2bP/H7R7/C/+/z/uZOTk6v8I6fzxhDw4YNGfRYR8FYwc1NspKtWkGfPsTftIlv586lZMl3qVtXju0GDHiisoRSb8eNG9CgAaxYIUXyv/sOkiQB4O5d2fwPHiwzLGfPlocopeKY+PFlatQnn8j2okAB3GbMYPfuyjRvLjXaN22SPgY6I0WpOCQgQMpHLFggE3uqVwfk3HjwYKksU7Ik/PijjNsrFS19+62snu3UCe/lLkyf/hm1a8sx78yZkDix3QHaS09No7sffniUbJg2Dfz9n0hWnjgBVarI6vDPPpOHxapkpU1KlCjB3bt3mTVrFgChoaF06tSJRo0akST8ZPp///sf169f5969eyxZsoRChQrh7OwcUa/xdd28eZPatWsza9Ys0jx2BB4QEED69OkJDg5m7ty5Ebc/73fnypWLs2fPRiyfnj17NkVfsn5q9erVEcuoH1qwYEHEz48//hiAW7dukTFjRgBmzpwZ8djTp0/j6upKt27d8PLy4tixY5QpU4Zp06YRGBgIwMWLF7l8+TKffvopS5Ys4d69ewQEBLB8+fLnxrVo0SLCwsI4ffo0v//+O7ly5XrqMUWKFIn4u2zcuJHUqVOTLJJHKSVKlMDf35/L4YWxrl+/zrlz5yL13GgvaVLZ602bJsX/8uXj0wdrOXAAKlSArl2lJthff9kdqIr1jJFGOl99Be+/LysGxo+XqRBJkhAaKkXxXVxk0NnHR1aFarJSqTju889l25EzJ1SpgvO3XZg7I5jvvoNfftEu4krFGQEBkpHMnl2KU7ZrJx1LkEWJbdpIsrJuXVi5UpOVKppzcJBj4PAilrVcjzB8OCxaJCVP/vzT7gDtpQnL6OrmTTk7q1MH8uSRGo6NG8sST+DCBVnpmSePrJQZOlS6gr/zjs1xxxKWZbF48WIWLVpEzpw5cXFxwdHRkYGPFT/x9vamatWquLm5UbVqVTw9PUmVKhWFChUib968dOnS5bViWLp0KefOnaNZs2YRDWwA+vXrR8GCBSlUqBC5H2tzV6tWLYYNG4aHhwenT5+OuN3R0ZHp06dTvXp1XF1dcXBwoEWLFq8cz40bN3Bzc2PMmDGMGjUKgD59+lC9enUKFChA6seKW48ePZq8efPi5uZGggQJKFeuHKVLl6ZOnTp8/PHHuLq6Uq1aNQICAsifPz81a9YkX758lCtXDi8vr+fGkCVLFry9vSlXrhyTJ0/G8bGSCA/16dOHPXv24Obmxtdff/1EIvVl8uTJQ//+/SldujRubm6UKlWKv2JTBs+yZDuya5cUIy9dmpSjeuE/P4TvvoMtW2RfuXKl3YGqWOnSJRg5Uj5kBQrIaoFSpaSeSevWYFmsWSNlCho3hgwZJAmxdKl29FRKhcuWTXZWrVrB8OFYJYrzZfmL7NgBTk4ywFGhguQ1lVKxzOOJyu7dpVTajh2yHMOyuHdPJllOnCgD8bNmQcKEdgetVCQ4OUnncCcnqFCBTg2usGSJNEv18pJTtzjLGBOjLgUKFDCx3saNxmTJYky8eMb07WtMcHDEXVevGtOpkzGJEhmTIIExX31lzN9/2xhrFPntt9/sDuGFpk+fblq3bm13GHFKw4YNzaJFi+wO4ynR/bP6XIGBxjRubAwY8+mnxly8aI4cMcbNTW5q0sSY06ftDjL6AHYb3W+9uvv3jfnpJ2MqVjQmfnz5cHl7GzNpkjHXr0c87MABY0qXlruzZTPmhx+MCQ21MW6lVPQ3b54xTk7GpEljzNq1JiDAmAEDjEmRQrYllSoZs2+f3UHaQ/dZKla5fduYQYOMSZVKvtyffWbMjh1PPOTaNWMKFTLGsowZM8amOJV6XTt2GOPoaEzhwsYEBZmDB+W4OFEiY+bOtTu4qPW8/ZbOsIxOTp+W6ew+PpAggYwg+/lB/PgEBkK/fvDeezBqlHQCP3ECxoyBdOnsDlwpFeM4Ocny8FmzImpJ5PljNTt2SC3LOXNkSW6jRnD8uN3Bqhhn/35ZopUhg9Re3rkTOnaEI0dkNkSLFpAiBRcvQpMmspRz1y4YMQKOHZN9nNZTVUq9UO3asuFIkwZKlSLp6P70+DqMM2ekJNjGjeDhAdWqwaFDdgerlHplz5tRuXIleHtHPOz8eShcWDYHCxZIxRmlYiRvb5g+XfJALVvimtewc6d89OvWla9BnGsy96wsZnS+xKpRv7AwYw4fllmU+fLJiBEY07SpMQEBxhhjgoKMGT1aBo/BmMqV5SmxXYydtabinFjxWT161Ji8eWUj8/XXxgQHm4sXjenQwZjEiWW0umZNYw4etDtQ+6CzVV7u8mVjRo16tD9LmNCY6tWNWbnyiZUCxhhz65YxPXvK5ythQlk58NiES6WUirzAQGPq1pXtTtmyshzJGHPjhjG9exuTLJncVaOGMUeO2Bvq26L7LBWjRWJG5UMHDhiTIYMxyZPLIkWlYgU/P/nsDxtmjJEFS82by00VKshxdGzzvP2Wzl9424yBPXukEvAHH0DevNCnjzTEGDkSzpyBKVMITZw0oulA+/bysO3bpU7lhx/a/SaUUrFK7twyA65ZMxnJ9vEhQ9gFRo6Es2ehWzcZzHZzg8qVZUKmUoC07166VLq/ZcgAHTrICoEJE6SD08KF0hEufvyIh0+cKL12BgyQz9OxYzB8OKRIYfN7UUrFTE5OMHs2TJ4M69fLtMpt23jnHTnEPnNGGnitWiXH03XqyHZHKRXNBAbCkCEvnVH50Pr1UKSIlGjfskUalCgVK/TuLQVZu3aFoUNJGBbEpEnSo3LVKvjkE/j9d7uDfDs0Yfk2hIXB1q2yHC57dvD0lC45mTLJmdvFi7KV7dABkzUbixeDq6s0HUiTBtasgXXrZJutlFJRInFiaYIyd64s53V3h5UrSZsWBg2Cc+fkxO+XX6T4c7ly0itFxVEHD0pyMmNGyTr++quMrh06JGuyWrWClCkjHm4MLFki+7bWraVh3M6dMG+e7BaVUuq1WBY0by47pnjxoFAh2Y8NHEjK66fo318Sl926SV+DDz+E+vXh5Em7A1dKRSQqs2WDr79+aaIyKEgGPcuWhcyZ5RAkb963H7ZSUcbBAWbMgPLlZcfl4oI1cwatW4SyerV0Dvfygg0b7A406mnCMqqEhEiWsVUrOaErXFhmnOTNK3Xj/v5b2nu3bAnp0wMySvTRR1LuKywM/P3lvK9UqYjm4EopFbXq1JFZ4Jkyweefywlf//6kvHKc3r0lcTlokMyyLFQIiheXbZcxdgeuotzVqzB2rLTxzpdP9mmffgrLl8OFCzBs2FNnDHfuwPz58rAqVWRftnSpHGB5edn0PpRSsVeBArBvnxR8d3KSqZU5c0L+/KSeMphBzX7nzBmp1fzjj7LYqVEjKSOvlHrL/pmo9PaWJYXPSVQaI6sN8+SBb76BChVg82ZJWioV6yRJIsfY69ZJ05LGjSFfPkrcXc6unYZ06aB0aRg9WlJPsZUmLN+k+/dlA9ukiXyoSpaEmTPlrH7ePLhyBVaskA9b6tQRT9u5U5KSJUpItnzqVDh8GKpW1USlUsoGLi5ywDh6tJSr6NVLlo27upJsVF++rnCEs2elisWxY7LtKlRIliho4jKWCQ6WgyVfX1ny3a6djPqOGydLvv39JbEdvuT74VNWrYJ69WRXWLu2lBaYNEkmYFasqPs2pVQUeucdmfG9dat04xgxAhImlCWmOXKQ5jMvhqYZxplfztOunTTpyJULmjaVvmC6H1Mqij0vUblq1XOXFB46JKfWvr4yFrF2rQw6aDkZFesVLy4Jo4UL4cEDqFiRHI2KsH30dsqWlQVPefPCokWxsyGPJixf1507srWsU0fWb3/+uVwvVw5++kmSlP7+csaWLFnE044ckeWVefLIdnn/fjn5P3lS8p2PnfspmyRNmjTGvfaiRYv44IMP8PHxYffu3XwV3iZvxowZtGnTJkp+Z1T6888/qVat2ht5rSVLlvDbb79FXPfz82Pt2rVv5LVjJUdHSU5t2SKz58aOlSW+fftC3rw4eeWhww0/fl96iIkTDBcvyqoFT08Z/Y6NO8w45dAhmYKUKZNkGLduhbZt4cABmV7bpg2kShXx8LAwmeXwcNFA+fJy3lG3rnTqPXdOGoPrvk0p9VZlziwlmbZvlzXhw4bJiEnXrqTzzsqILQX5vetkWjcIYO5cOenLnVtyKDt26L5MqTcqMFDKomXPHulE5bVrcsjh7i6Tp8ePl58lSrzl2JWyk2VJTcsjR6Re8+nTJCvzMcusSiwec5548aBGDVm9tHp1LBt4e1Ynnuh8iRad627eNGbOHGOqVJEWpyBdzJo2NWbVKmnt/Qy//WZMnz7G5MkjT7EsY4oVM2bChNjZ6el1RIfOy05OTtHytUNCQp57X5kyZczmzZufun369OmmdevW//p3vinB/+gU/DY1bNjQLFq06I2/bnT4rL5Vf/0lGy0fH2McHGRjljOnud/1GzPV76x5//0wA8bkymVMjx7G/PqrMaGhdgf9+ogLHVevXjVm3DhjChSQ/9f48WU/t2yZMQ8ePPXwsDBj9u0zpmtXYzJnlqckSWJMrVrylPv3bXgPSikVGb//bsyQIY+2d2D+yv+ZmVB1rSlZ5J6JF09uzpjRmNatjVm3zhgbD2FeWZzYZ6mYIyBAvm+pU8sXq1w5Y7Zvf+FTgoONGT/emJQp5XCzdWs5TFFKGWMCA40ZMMCYZMmMcXAwIQ0am5kjr5ps2eQrVqyYnIPFJM/bb9megHzVi2070StXjJkyRTawCRLIny59etl6rl//3KOYo0eN6dvXmLx5HyUpixaVDfBff73dtxCTRIck0LOSivv27TMFCxY0rq6upnLlyub69evGGGNOnjxpSpQoYdzc3IyHh4c5deqUCQgIMMWLFzceHh4mb968ZsmSJS987TNnzphcuXKZOnXqmNy5c5uqVauaO3fuGGOMyZo1q+natavx8PAwP/zwg5k3b57Jmzev+fDDD03Xrl2NMcb07dvXODk5GRcXF9O5c2ezYcMGU758eWPMkwnLy5cvG19fX+Pp6Wk8PT3Nli1bnhlL4cKFjYeHh/Hw8DBbt241xhizYcMGU6RIEfPZZ58ZFxcX07x5cxMano1ycnIy7du3N3ny5DHFixc3ly9fNsYYU7RoUdOuXTtToEABM3z4cLN27Vrj7u5u8ubNaxo3bmyCgoLMzp07jaurq7l3754JDAw0efLkMYcOHTJnzpwxH374YcR7qFSpkilZsqTJmjWrGTdunBkxYoRxd3c3BQsWNNeuXTPGGPOf//zHeHp6Gjc3N+Pr62vu3Lljtm7dalKkSGGyZctm8uXLZ06dOvVEAvNZMT38u/v5+UX8Hx49evSpv1V0+Kza5tIlY777zpiSJc3Ds7vg7DnNnPLzTLECt0y8eJK8TJdOxnOWLJH9a0wUa0/+goONWbHCmKpVH+3b3N2NGTPGmPDv8D+dOmVMv37GfPDBo7xm+fLGzJ0r5yRKKRWjnDxpzMCBsu0LT15e8y5rZtZdbSqXvRsxNyFlSmMaNTJm6VJj7t61O+gXi7X7LBW9hYYac+6cZPgnTzamfXtjypQxJkWKSCcqjZGnPzx3Ll7cmIMH30LsSsVEV68a06mTMQkTGpMokQlq19WMGxxo0qWT70/FisYcOmR3kJGjCct/4+JFySw+PpMoWzb5UGzb9txpQ8eOGfPtt8a4uj5KUhYpIhNX/vzz7YUfkz2eBGrXTpK8b/LSrt3LY3hWUtHV1dVs3LjRGGNMr169TLvwF/L29jY//fSTMcaYe/fumTt37pjg4GBzK3zq7JUrV0yOHDlMWFjYc1/7zJkzBohIIDZu3NgMGzbMGCOJsyFDhhhjjLl48aLJnDmzuXz5sgkODjY+Pj5m8eLFxhhJDu7atcsYY56bsKxdu3bELMxz586Z3LlzPxXLnTt3zL1794wxxpw4ccI8/N5t2LDBJEqUyJw+fdqEhISYkiVLRiT9ADNnzhxjjCRPH/6+okWLmpYtW0b8bTJlymSOHz9ujDGmfv36ZtSoUcYYY3r27Gk6depkWrVqZQYOHBjxN3k8YZkjRw5z+/Ztc/nyZZMsWTIzadIkY4wx7du3j3idq48Nv/bs2dOMHTvWGPP0DMuH118UU9asWSOeP2HCBNO0adOn/lZxOmH5uIeDOmXKSAYLzPVMrmbuZ3NMzZJXTLJkkrx0dJTk1nffySY2poh1J3+HDxvTubOJOKJJnVpOLPbte+bDL1yQHGbBghHn86ZIEWMmTZL/eqWUihWOHzemf39j3NwiDuIDPyllfmy60tSresckTy43OzkZU62aDNTcvGl30E+LdfssFT0EBMh3ZP16Y2bNktHLpk1l4DpnTkmaPDxIeLjsIn9+Yxo2fGmi8soVYyZONKZQoUen3D/+KKs5lFIvce6cjKhZljHJk5vAPsPMgD73TfLkclO9esacPm13kC/2vP2WVpP6pzNnpPbkjz/Cr7/KbblzS6HuqlWlgMYzugWcOCGFThcuhIMH5SGFCknZt6pVpVeBitlu3brFzZs3KVq0KAANGzakevXqBAQEcPHiRapUqQKAo6MjAMHBwfTo0YNNmzbh4ODAxYsXuXTpEu++++5zf0fmzJkpVKgQAPXq1WPs2LF07twZgJo1awKwa9cuihUrRpo0aQCoW7cumzZtonLlypF6H2vXrn2iluPt27cJDAx8oq5mcHAwbdq0Yf/+/cSLF48TJ05E3Oft7c17770HQO3atdmyZQvVqlXDwcEhIsZ69erh6+sb8ZyHtx8/fpzs2bPj4uIS8TecMGEC7du3x8/PDy8vLxwdHRk7duwzY/fx8cHZ2RlnZ2eSJ09OhQoVAHB1deXgwYMAHD58mG+++YabN28SGBhImTJlXvj3eFFMQMT7KFCgAD/99NMLXytOS51aOhY0bQrXr8OyZaTw96fOmsbUCQ7mQcbsbC7ZmeXxKrNsd3pWrpTtqKenlEisWBHc3LQZS5RbuVLqkO7aJQUly5eXFrmffSZNKYBbt6RR/M6d8rBdu+CPP+Tp7u5SfqpmTciSxb63oZRSUcLFRTqL9+wpXeUWLcJp4UJ8p5bH17J4ULg4G/O1Y/HtEixZkwR/f0iQQOrpVa4sx/65csltSkV7xsDdu9Jz4coVuHz50b8vXYK//5bLn3/CxYtw+/bTr5EunTTPyZ8fqlSBHDnk4uICGTNKo77nCAyEZcukN+3q1dLpOE8eKTXbpo2UU1dKRUKWLDB9utSf79EDpz5d6JF+JC38BjLkz/qMnRCPuXNlH1WlilyyZ7c76MjRhCXIAcmPP0qicu9euc3DA/r1k2zjBx888fCQEHnK3r1yUvfLL9KHAORDMGaMPC1jxrf8PmKp0aPtjuDfmTt3LleuXGHPnj0kSJCAbNmyERQU9MLnWP/I1jx+3cnJ6Y3EFRYWxvbt2yMSq88yatQo0qVLx4EDBwgLC3visS+K8Xm3Ryb2a9euERgYSHBwMEFBQc98TqJEiSL+7eDgEHHdwcGBkJAQABo1asSSJUvIly8fM2bMYOPGjS/93S/y8HfEixcv4neol0iZUpJgjRrBzZuwfDkJ/f0psbIjJe63ZtS76TlSuw3Lk9Zm2cFs9O5t4ecnvREqVoQKFaBYMXjsv1u9KQEBcP8+jBoFdeoQlCwtBw7Azu8kMblzJxw//ujhOXLIfs3LC8qWlRMJpZSKE3Lnhl695HLkCCxaRMIFCyg9viKlHRyYUNSH7fXbsPhOaX76OQktWsjTEiaU5j3u7pAv36OfyZPb+3ZULBUcLE1gAwNlH3/jhgwc37jx9L+fdf3+/We/rqOjdNF79105Fy5ZUmbgZMz46JIlCyRO/MrhrlkDc+fC0qWSL82cWfIsdeqAq6sOXiv1r+XNK6MAW7ZAt26k7NSYIS6DaDdmBP+5WJ7FSyw6dZLvW758j5KX0fl7FzcTlsZIhvHHH+Vy9Kjc/vHHMqTj6wvhM8iCg+G3A4+Sk3v3Skfve/fkKUmSyAyhUaOgWjVpqKpip+TJk5MiRQo2b95MkSJFmD17NkWLFsXZ2ZlMmTKxZMkSKleuzP379wkNDeXWrVukTZuWBAkSsGHDBs6dO/fS33H+/Hl+/fVXPv74Y+bNm0fhwoWfeoy3tzdfffUVV69eJUWKFPzwww+0bds20u+jdOnSjBs3ji5dugCwf/9+3N3dn3jMrVu3yJQpEw4ODsycOZPQ0NCI+3bu3MmZM2fImjUrCxYs4MsvvwQkEerv70+tWrWeG3uuXLk4e/Ysp06d4v3334/4GwI0b96cfv36cebMGbp168b48eMj/Z4eFxAQQPr06QkODmbu3LlkDB85cHZ2JiAg4JViUm/AO+9A/fpyuX0bVq7EWrSIvIv7kTeoJ93TpeNSg4asTNOIZSdyMW2aAxMmgJOTnOS5uj55eecdu99QzBUaCkfz1GDnVzXZtdtiZzlZEfAwD//uu5KYrFdPfnp6PtEIXCml4q4PP5RL796SvFy4EIcFC/hkQxU+iRePocV8ONbwS/amLcv+084cOCDnjNOmPXqJbNlkv/Z4IjNr1uh7kqjesLAwyc4FBj55eZhs/De3BQbCgwcv/93JkslgcooUcsmT58nradNCmjRyefjvpEnf2IfzyhXYvVu+E4sWSefvlCmhQQNJUhYq9MKJmEqpV1W4sCQtly+H7t3J0LwCfby86DN6CKez+LBkCSxeLIuu+vSR1NfD5OXHH0ev72PcTFiCZBfPnIGiRaFVK6hShQdpMnLkCOxZD3uGSXLywIFHA09Jk8rEyy+/hAIF5JIrF8SLZ+9bUVHj7t27ZHosA92xY0dmzpxJixYtuHv3Lu+99x7Tp08HYPbs2TRv3hw/Pz8SJEjAokWLqFu3LhUqVMDV1RVPT09y58790t+ZK1cuJkyYQJMmTciTJw8tW7Z86jHp06dn8ODB+Pj4YIyhfPnyVKpUKdLva+zYsbRu3Ro3NzdCQkL49NNPmTx58hOPadWqFVWrVmXWrFmULVv2idmOXl5etGnThlOnTuHj4xOxFN7JyYmdO3fSv39/0qZNy4IFC5763Y6OjkyfPp3q1asTEhKCl5cXLVq0YNasWSRIkIA6dW272F0AACAASURBVOoQGhrKJ598wvr16yOWnr+Kfv36UbBgQdKkSUPBggUjkpS1atWiWbNmjB07Fn9//5fGpKJAsmRQu7ZcAgNh1Srw9yfdovE0uTuUJmnScK92DdZnb8rPf7lx4FA85s+Hxz+emTM/ncTMnTtiNXOcFhoqK7f++APOn5fLw3//8YesDLhzR45AkieXhGTnzuDtLQnKjBn1xFkppV7IsmQGS968cqZ36BAsXIi1YAEf9K7BB/HiUXfPHhiWD2Pgr79kosOBA/Jz/36ZVWaMvFzy5I+Sl+7uUKOGDNipN8QYGZULDn7ycv8+BAW9/s/IPvbuXblElmXJiefjFycnyfJlyfLkbf983MMk5MOEZPLkUgLmLbl6VSb57N796OfDsjJJkkClSlC3LpQqpcduSkUpy5Kla+XLw+zZ4OcHJUqQ4/RpOnXKTqdOct6wbJkkL8eOhREjZMzCy0tKdbm6yk8XF/tKnVjm4R4zhvD09DS7d+9+/RfatQuyZWPB+jSsWyfJyUOHHg1SJUsmpTjy53+UnMyZM3plm2Ozo0eP8sE/luLHdmfPnuXzzz/n8OHDdofyXBs3bmT48OGsWLHiqfuSJk1KYGCgDVHZKy5+Vt+4O3fg55/B319GAu/ckQPtESMwDRtx4YJsnx+/HD0q5xwgx+G5cz+ZxHRzk+Tmm0rAWZa1xxjj+W+e+yb2W8ZIbclnJSIf3nbx4qPZkg85O8u5TZYssg/z8pKL7s+UUuoNMkaykcuWwTffvHA2w53/s3fncVaP/R/HX59mqkmbaPmppKK4UXclKi3SLUuWJFuFiBJScicSiVApZclW7iRbKNylEjfaEG1EthahlNIi0Tpdvz+uM2OaZjmznPM958z7+Xicx8x8v+eceV9zZs4153Ou5U/fj2UsZC5b5mdv/f67f94uqKD7LMAvTPjXXwcXC7MqIOblfF7uozCX8jHza9WkpOT+MfOxUqX8A5tVgTGrYykpcfEOYmoq/O9/vjCZVpz86ae/z9et+/fr6MaN/UUFeZGA7NoFH34I55yT5enff/djSWbM8P3St9/+/RRaooRfGSJjEbNePb9qRKRfaxXdEZYnnwz4TXI++MA/kfbp8/eTau3aejEnIhIVpUv7hX87dvSv2GbN8sXLGjUw84XHI4/0+8Kk2bvXr7WYsYj50Ufwyit/X+fKK2HixOg3JxLGjoXMA3+LF/fLkBx5JLRs6YuSRx554EetmSYiEgVmfhpWw4a5XrV0aWja1F/SpKbCjz8WTrEyZtx4o38FnJ3kZN+RZb5kd7x4cf/Dy+064ZzPT9GxePG4KCJGkxlccolfOrNOHTj1VOjd27+WbthQ/4OIxJSUlGyLleD/XtMmwoEfyPftt/4NtS+/9B8/+MAP1kwzYAA8+GBkY0e0YGlmZwOPAknAs865YZnOlwQmAicBm4HLnHNrIpkpswkTCnWJDpF8q1mzZkyPrgRo3bo1rVu3zvJcURxdKRFQqpTfajWXXe+LF/97Vl5axwr+tdFXX/mOtWbNyEaNpubN/TSNtEJkjRp+Y069sSYiEv+SktKXz08cX3zhO6msionJyXrxlQCKFYPZs/3vrtYYF0ksJUr4kZT16x94fMuWvwuYJ50U+RwRK1iaWRLwBNAWWAssNLOpzrmvM1ztWmCrc+4YM7scGA5cFqlMWUmodzITjHMu2x2oRWJBvC2pURSUL++Le82bB5vDzHoAPQBq1KhR4PtLK86KiIjEhaOOCjqBREGjRkEnEJFoOuwwvw1MtPaojeTYjFOAlc651c65PcAkIPPOIO2B50OfTwb+ZapQCX4jlM2bN6sgJDHLOcfmzZtJSUkJOorEIOfcWOdcY+dc40qVKgUdR0REJFtm1sPMFpnZok2bNgUdR0REBIjslPBqwM8Zvl4LNMnuOs65fWb2O3A48FvGKxX2SBWJfdWrV2ft2rXonyaJZSkpKQfsJC8iIiISb5xzY4Gx4DfdCTiOiIgIECeb7qgTLXqKFy9OrVq1go4hIiIiIiIiIiJRFskp4euAIzN8XT10LMvrmFkyUB6/+Y6IiIiIiIiIiIgUQZEsWC4E6phZLTMrAVwOTM10nalA19DnFwMfOC1aKCIiIiIiIiIiUmRFbEp4aE3KXsAsIAkY75xbbmb3AYucc1OB/wAvmNlKYAu+qCkiIiIiIiIiIiJFlMXbgEYz2wT8GHSOPKhIpk2E4pDaEBvivQ3xnh/UhlgRRBuOcs7la7vvMPuteH5clD0Yyh6ceM6v7MGIdvZI91mZxfNjk1mitCVR2gFqS6xSW2JTvLYly34r7gqW8cbMFjnnGgedoyDUhtgQ722I9/ygNsSKRGhDZvHcJmUPhrIHJ57zK3sw4jl7OBKpfYnSlkRpB6gtsUptiU2J1BaI7BqWIiIiIiIiIiIiInmigqWIiIiIiIiIiIjEDBUsI29s0AEKgdoQG+K9DfGeH9SGWJEIbcgsntuk7MFQ9uDEc35lD0Y8Zw9HIrUvUdqSKO0AtSVWqS2xKZHaojUsRUREREREREREJHZohKWIiIiIiIiIiIjEDBUsRUREREREREREJGaoYFkAZna2mX1nZivN7I4szh9lZu+b2TIzm21m1TOc62pmK0KXrtFNnp4hX/lDx5eY2edmttzMekY/fXrGgjwGNczsXTP7xsy+NrOa0cyeIUdB2jDczL4KXS6LbvL0DOPNbKOZfZXNeTOzx0LtW2ZmjULHG5jZJ6HfoWVB5Q9lyVcbQudSQ38Ln5vZ1OilPihjQdrwUOhx+CZ0HYte8gMy5taG40K/M7vNrF9ebhukMP7Ga5jZh2a2NPTYtAsd75Lhd+tzM9tvZg1iLHvM9nPx3MfFc98Wz31aPPdn8dyPxXP/laj9Vpow/p5HZ/jd+d7MtmU4FxP/H2XIk6++OHRuQOh235nZWdFNfrD8tsXMaprZzgyPy9PRT39Q1rj9PyOzArYlZv5eCvicHGuPSdz2jZkVsL/J8XczpjnndMnHBUgCVgG1gRLAF8Dxma7zOtA19Hkb4IXQ54cBq0MfK4Q+rxBH+UsAJUOflwHWAFXj6TEIfT0baJuhHYfEUxuAc4H3gGSgNLAQKBdAG1oBjYCvsjnfDpgJGNAU+DR0vC5QJ/R5VWA9cGi08xekDaFzO4LIXIiPw6nAR6HfxSTgE6B1jLahMnAy8ADQLy+3DfBxCedvfCxwQ+jz44E1WdxPPWBVDGaPyX6ugNkD7eMKkj309WwC6tsK+HMPvE8rwPNo4P1ZfrOHzgXajxXg5x54/xVG9rjrtzLky/XvOdP1bwbGx8rvVV7bQjZ9cejzL4CSQK3Q/STFaVtqxtLvWwH7jMBfTxdWW0Jfx9LfS36fk2PqMSlIW2LtMQmzLVn2N3l9Lo+1i0ZY5t8pwErn3Grn3B5gEtA+03WOBz4Iff5hhvNnAe8557Y457bi/0E/OwqZM8p3fufcHufc7tDxkgQ3UjffbTCz44Fk59x7AM65Hc65v6IT+wAF+T06HpjrnNvnnPsTWEb0f49wzs0FtuRwlfbAROctAA41syOcc98751aE7uMXYCNQKfKJD5bfNkQnXXgK0AYHpBAq0gDFgV8jnTcrubXBObfRObcQ2JvX2wYonL9xB5QLfV4e+CWL++kUum00xXM/F899XDz3bXHdp8VzfxbP/Vg8918J2m+lCefvOaNOwCtRSZZ3BemL2wOTnHO7nXM/ACtD9xeUwvq/IhbE8/8ZmRWkLTGlAM/JsfaYxHXfmFkB+pu8PpfHFBUs868a8HOGr9eGjmX0BXBR6PMOQFkzOzzM20ZaQfJjZkea2bLQfQwP/YMebQVpQ11gm5m9EZouMcLMkiKe+GAFacMXwNlmdoiZVQROB46McN78yLWNZnYK/gXHqijmyouc2pBiZovMbIGZXRj9aGHLsg3OuU/w/zStD11mOee+CSBfogrnb3wwcIWZrQVm4EepZHYZ0X8hGM/9XDz3cfHctyV6nxbP/Vk892Pqv4IR9vO4mR2FH334QYbDsfR7VZC+OOj+LLOC/l9RK9Q/zDGzlhFNmrt4/j8jswL930Fs/b3kJru2xtpjEo547hvDFY+PSzoVLCOrH3CamS0FTgPWAanBRsqTbPM75352ztUHjgG6mlmV4GLmKLs2JAMtQ+dPxg+RvjqgjLnJsg3OuXfx/4R8jC9kfEJ8/X4BEHoX6wXgGufc/qDz5MNRzrnGQGfgETM7OuhAeWFmxwD/AKrjO682MfAPbFHTCZjgnKuOn5rygpml989m1gT4yzkXi+ucxXM/F899XDz3bQnbp8VxfxaX/Zj6r5hyOTDZOZfxbzbefq9y7IvjTHZtWQ/UcM41BG4FXjazcjncTyyI5/8zMsupLfH291IU6DGJAfH6JBwL1nHgO//VQ8fSOed+cc5dFOoUBoaObQvntlFQkPwHXAf4Cv8CKdoK0oa1wOehodH7gLfwa0JEW4EeB+fcA865Bs65tvi1N76PTuw8ybaNoX+SpgMDQ8PwY1W2bXDOpX1cjV87rmG0w4UpuzZ0ABaEpo7uwK/j0iyAfIkqnOf7a4HXAEIjhlKAihnOX04w0+ziuZ+L5z4unvu2RO/T4rk/i+d+TP1XMPLyPH5QPxVjv1cF6YuD7s8yy3dbQtPaN4eOL8aPBK8b8cTZi+f/MzIraP8XS38vucmurbH2mIQjnvvGcMXj45JOBcv8WwjUMbNaZlYC31EfsHuUmVXM8M7cAGB86PNZwJlmVsHMKgBnho5FU77zm1l1MysV+rwC0AL4LmrJ/1aQx2Ahfo2KtDWm2gBfRyFzZgV5HJIyTF+sD9QH3o1a8vBNBa4yrynwu3Nufai9b+LXDZkcbMRcZdeGCmZWEvzjBDQnmN+jcGTZBuAn/Lu9yWZWHP+Or6bUFZ5c/8bxj8G/AMzsH/gXFptCXxcDLiX661dCfPdz8dzHxXPfluh9Wjz3Z/Hcj6n/CkY4/Rdmdhx+g41PMhyLtd+rgvTFU4HLzaykmdUC6gCfRS35wfLdFjOrZKFlQsysNr4tq6OW/GDx/H9GZgXp/2Lt7yU32T0nx9pjEo547hvDFdZzecxyMbDzT7xe8EPsv8e/OzUwdOw+4ILQ5xcDK0LXeZbQrqOhc93wizavxE8dipv8QFv8YvhfhD72iNPHIK0dXwITgBLx1Ab8Px9fhy4LgAYB5X8FP8VkL350z7VAT6Bn6LwBT4Ta9yXQOHT8itBtPs9wibc2nBr6+ovQx2sD/FvIbxuSgGfwL/K+BkbFcBv+L3R8O5A2mqxcdrcNqh1ZtCu3v/Hj8TvdfhH6Ozgzw21b40cQxWr2mO3n8pudGOjjCvhzD7RvK8DPPfA+LYznoJjtzwqQPfB+rADZA++/wsgel/1Whvbl+Pcc+nowMCzT7QL/vcprW8i5Lx4Yut13wDnx2hagI7A8dGwJcH4ctCVm/88orLbE2t9LGM9rWT4nx+hjErd9Yz7aklN/c9DvZrxcLNQAERERERERERERkcBpSriIiIiIiIiIiIjEDBUsRUREREREREREJGaoYCkiIiIiIiIiIiIxQwVLERERERERERERiRkqWIqIiIiIiIiIiEjMUMFSpAgxs65mtiJ06Rp0HhERkeyY2Ttmts3M3g46i4iISHbMrIGZfWJmy81smZldFnQmkURgzrmgM4hIFJjZYcAioDHggMXASc65rYEGExERyYKZ/Qs4BLjeOXde0HlERESyYmZ1AeecW2FmVfGvs/7hnNsWcDSRuKYRliIJyMxODr27l2Jmpc1sOXAT8J5zbkuoSPkecHawSUVEpKjLqs8ysxOdc+8DfwSdT0REJE02r7NKOOdWADjnfgE2ApUCDSqSAJKDDiAihc85t9DMpgL3A6WAF4G9wM8ZrrYWqBZAPBERkXRZ9VnOua8CjiUiInKQ3PosMzsFKAGsCiiiSMJQwVIkcd0HLAR2Ab2BvsHGERERyVbmPktERCRWZdlnmdkRwAtAV+fc/oCyiSQMTQkXSVyHA2WAskAKsA44MsP56qFjIiIiQcvcZ4mIiMSqg/osMysHTAcGOucWBJhNJGFo0x2RBBWaqjAJqAUcAQzCLwDdKHSVJfhNd7YEk1BERMTL3Gc553qFjrcG+mnTHRERiRVZvM66FZgJTHPOPRJkNpFEoinhIgnIzK4C9jrnXjazJOBjoAEwBD99AeA+FStFRCRoWfVZZtYGuBc4DihjZmuBa51zs4LMKiIiRVs2r7MuB1oBh5vZ1aGrXu2c+zygmCIJQSMsRUREREREREREJGZoDUsRERERERERERGJGSpYioiIiIiIiIiISMxQwVJERERERERERERihgqWIiIiIiIiIiIiEjNUsBQREREREREREZGYoYKliIiIiIiIiIiIxAwVLEVERERERERERCRmqGApIiIiIiIiIiIiMUMFSxEREREREREREYkZKliKiIiIiIiIiIhIzFDBUkRERERERERERGJGctAB8qpixYquZs2aQccQEZEiZPHixb855yrl57bqt0REJJoK0meJiIjEirgrWNasWZNFixYFHUNERIoQM/sxv7dVvyUiItFUkD5LREQkVmhKuIiIiIiIiIiIiMQMFSxFREREREREREQkZqhgKSIiIiIiIiIiIjEjYgVLMxtvZhvN7KtszpuZPWZmK81smZk1ilQWERERERERERERiQ+RHGE5ATg7h/PnAHVClx7AUxHMIiIiIiIiIiIiInEgYruEO+fmmlnNHK7SHpjonHPAAjM71MyOcM6tj1QmEZGgbdwIK5btpMLejVRocBSHHQYlSwadSkQkvjgHG9ftZcOCNWxZvxsrW4YSdWtyxBFQrRqUKBF0QhEREREpiIgVLMNQDfg5w9drQ8cOKliaWQ/8KExq1KgRlXAiIoVp79YdPNJrJfe+eix/ppYCjgKgRAnH4MHG7bdDMa0qnDDUb4kULudg2TKYOcPx/hu/s/SrZDbvKoOfqHOgpCTHiScaTZvCOefAGWdA6dLRzywiIiIi+RdkwTJszrmxwFiAxo0bu4DjiIjkyZzXN3Jjl218vbcB55ecxfVnrWLHDtg6dxn/q96DO+9sxAcfwAsvwP/9X9BppTCo3xIpHL//Ds8+C889vYvlK1MA45+s4aKkJZzYsBjVWh3NYVVTsNWr2PXaVH7ZmsLKSi1ZYu14+eXKPPOMUbo0XHYZ3HADNG4cdItEREREJBxBFizXAUdm+Lp66JiISMJ4a/wWOlxbmVr2F1MHL+H8u9tCsbP8cKE77uD6h07iP03G0fuja/nnP41XX4XWrYNOLSISrG3b4KG7/2DMuBL8sbskp7KYp+1FLmy1hSrdzoUOl0DZshlucTI8ciFMnAgPPQCfd2NP3ROZ33MEL//WlkmvJjF+vB9tOXgwNG8eVMtEREREJBxBTkCcClwV2i28KfC71q8UkUTy9bzNXNm9JKcUW8hXH2zk/Hsa/T3v2wyGDcMeeIDrPu3Owqa9OazCfjp0gB9/DDa3iEhQUrf8zhNdPuboSr8zbExp2u1+k8UnXMVHjy7m+vWDqTL7VbjqqkzFypCUFOjRA779FiZNokSpJNqMOIdn36vJL3c9yUP37+HLL6FFCz/i8qefot8+EREREQlPxAqWZvYK8AlwrJmtNbNrzaynmfUMXWUGsBpYCYwDboxUFhGRaNu2egsXnvEHpffv4I3X93NI61MOvpIZ3HknPP44J3w4humHdyU11dGlC+zbF/3MIiJB+nr8Alr83wp6vXwqDYp/zeLrxzHp+5No9NVE6N0bqlQJ746Sk31FculSmDkTatem3ICbuG10VVZdN5TBt//FtGlwwgnw1FOwf39k2yUiIiIieWd+k+740bhxY7do0aKgY4iIZGv/lm1cUOtLZm1vygejl9HylpNyv9Hzz0O3brxy9F10XnEvgwbBvfdGPquEx8wWO+fytfqd+i2RnLl9qTzTfgZ9Z5xB6aRdPDpwE53vqYMVs8L7Jh9/DMOGwbRpULo0ay6/gx4r+vHe3BTOOsvPJK9cufC+nUiQCtJniYiIxArtSSsiUpj27eOhhq8wfXtLHrnh+/CKlQBdu8Jrr9FpzVCurvBf7r/fMWdOZKOKiATtz1Ub6FR1DjfMOJ/Tqq5k+fcl6HJv3cItVgKceipMneq3Gu/QgZoTBjPr43I8eeqLzP5wPw0awEcfFe63FBEREZH8U8FSRKQQbXjgP9z/05V0aPwzNz5xQt5u3LEjTJvG4zuv4+ikNXS5fB+//x6ZnCIiQfvppXm0OG4Tr21qzdCLFzPj53pUqV06st+0Xj144QVYsQLr0Z0blnTn0z2NKP3Hek5vvZ8JEyL77UVEREQkPCpYiogUll9+YcgDxdhtKQx/qTqWnwFCZ51Fmffe5MUS3Vi3IZlHHtpT6DFFRAK1bx/f9nyE5lfU5If9RzH96bXc8fpJ6XuSRUWtWvDEE7BmDf8c0I5PrRmt9n3ANdfAoP67iLMVk0REREQSjgqWIiKFZEWPEYzdezU9Ov9JnboFmM7YogWnvDWQi5jCqNGwZUvhZRQRCdS6dSw5pSctn+nC3lLlmPtxcc65vkZweapUgQcf5LCfv2Dm/Uu41sYzZEQKPXvsJzU1uFgiIiIiRZ0KliIiheH99xk4vRklizsGPVy+4Pf3r38x+OgX+WNnMg8/XPC7ExEJ3KpVzP3nzbReOorSFUsx74vy1G9SKuhUXvnyFB/Yn3FPpzKABxn7bDGuu047iIuIiIgERQVLEZGC2r2bz7o9zetcSr/bjCpVCuE+zajXpw2X8hqPjk7lt98K4T5FRILy88+8f+rdnLX5JarVKsH8pWWoUyfoUAezHt15sM9G7mEwEybAjTei6eEiIiIiAVDBUkSkgNzIh+n/001UPnQ3/76jeOHd8ZVXck/J4ezcZTz0UOHdrYhIVP36Kwtb9KX9xrEcczTM/TSF6tWDDpWDkSO558wFDLBhPPMM9OmjoqWIiIhItKlgKSJSEGvWsOC+d5lDawbeW5KyZQvxvg89lH90bkjnpFcZM8bx66+FeN8iItGweTPftuzOOT89TaUjkpk1txSVKgUdKhfJydhrr/JA3ee5NeUJHn8c+vdX0VJEREQkmlSwFBEpiH79GJN6A+XK7qdbtwjcf8+eDNo3iD27HSNGROD+RUQiZft2fm7TlbYrniTp0HK8NzeFqlWDDhWm8uWxt6cxstQgelV4iZEj4bHHgg4lIiIiUnSoYCkikl9ffsmGKfN53XXkmm7FKFMmAt/j5JOp06AMF5d7l/HjHTt3RuB7iIgUtj//ZOtZl3HmshFsP6QKsz4swTHHBB0qj445BntjCo9uv4aLqsynb1/HtGlBhxIREREpGlSwFBHJr2HDGFf8JvbuT+bGGyP0PcygZ0+u3zacrVuN11+P0PcRESksu3axr31HLltwK6uSjmXqjOI0aBB0qHxq3ZpiT47hhV/P5KTKP9OpEyxdGnQoERERkcSngqWISH6sXMneVybzdMnenHUW1K0bwe/VuTOtSy+ibrkNPPNMBL+PiEhB7d0Ll13G7e+35T3a8tQzxTjttKBDFVCPHhzSuztTf23CYSV2cP75sG5d0KFEREREEpsKliIi+TF8OP9NuohfdpSnV68If6+yZbEunem5cxQffwzLlkX4+4mI5EdqKlx5JROnlmcU/6ZXL7j22qBDFZKHH+aIs/7J29tbsX3rPtq3h127gg4lIiIikrhUsBQRyau1a+H55xlT+V5q1oRzzonC9+zZk657n6Vk8j6NshSR2LN/P3TvzmevrqZH8nhOPx1GjQo6VCFKToZJk6hfZycvF7uSxYuhT5+gQ4mIiIgkLhUsRUTyauRIvkw9njm/1OXGGyEpKQrfs2FDDjv5GC4tM4MXXoAdO6LwPUVEwuEc3HILm56bRoey/+OI6sm89hoULx50sEJ26KEwbRrnlXiXAYePZexYmDgx6FAiIiIiiUkFSxGRvNi0CcaOZWzdkZQsCd26RfF7d+lCz23D+OMPeOWVKH5fEZHsOAd33sn+x8dwVc15bN5TljffhIoVgw4WIcccA6++yn2bb6R1jVX07Alffhl0KBEREZHEo4KliEhePPIIe3fu49WNrbngAjj88Ch+73PPpRmfUK/qb5oWLiKx4aGHYNgwHm46mXfWHMfo0Ra/O4KH64wzSL76Sl5ZdxrlS++jY0fYvj3oUCIiIiKJRQVLEZFwbdsGY8bwXvPBbNqSTJcuUf7+xxyD1alDj0NfZ/Fibb4jIgF75x0YMIAFbe/mzkUd6NgRevYMOlSUDB/O/5X9k1eP7Mfq1Y4ePfxgUxEREREpHCpYioiE68knYft2XirXkwoVorTZTmbt2nHZqgdJSnJMmhTA9xcRAVizBjp3Zus/TuXy7wZTvbrx7LNgFnSwKKlcGYYOpdXSR7n3omW8+iq8+GLQoUREREQShwqWIiLh+PNPGD2aHWdexFtzDuPSS6FEiQBytGtHpd1rOaPBb0yapBE9IhKAXbugY0dc6n561HiHdb8UY9IkvydNkdK9OzRuzB1z29G86T5uusnXcUVERESk4FSwFBEJx7hx8Ntv/LfpUP76i+hPB0/TqhUccgiXHzqLH36ATz8NKIeIFF29esGSJbx07QdMfqcMQ4ZAkyZBhwpAUhI89RRJG9fzwrEPAHDllZCaGnAuERERkQSggqWISG5274aRI+G003hpYV1q1IDmzQPKkpICbdrQYdUISpbUtHARibL//Af+8x/W3jycXuMb0bw53HZb0KEC1Lgx9OxJrRfu44n+PzJ/vt+HSEREREQKRgVLEZHcvPgirFvHxhsH8+670LkzFAvy2bNdO8qvWUa7Vjt49VWN5hGRKFm8GG66CXdGW6799jb27oUJE/xAwyLtgQfg8MO54u3LufQSx6BB/kclIiIiIvmngqWISE6cg9GjoUED+FiAwQAAIABJREFUXt1wGqmpAU4HTxPa7afTEXPYsAHmzg04j4gkvs2boWNHqFKFp898g3ffM0aOhGOOCTpYDKhQAUaMwD5dwFPNX6RyZeja1Q/OFxEREZH8UcFSRCQnH34Iy5dDnz689LJRvz6ceGLAmWrWhOOP59yfn6ZMGXjllYDziEhiS02FK66A9etZOXoa/QaX4cwzoWfPoIPFkKuugpYtOWxIX8aO3M7y5fDgg0GHEhEREYlfKliKiOTk0UehUiV+bHY5n37qp4PHhHbtOGT+u7Q/dy+TJ8OePUEHEpGENWQIvPMO+x99nG6P1Kd4cb+UpVnQwWKIGTzxBGzbxrkf9uPKK33B8vPPgw4mIiIiEp8iWrA0s7PN7DszW2lmd2RxvoaZfWhmS81smZm1i2QeEZE8WbUKpk2D66/nrXdSALjoooAzpWnXDvbupVOdxWzdCu+9F3QgEUlIM2bAvffC1Vczju7MmwejRkH16kEHi0H16sEtt8C4cTzSZSGHHw7dusHevUEHExEREYk/EStYmlkS8ARwDnA80MnMjs90tbuA15xzDYHLgScjlUdEJM/GjPG7SdxwA2++6aeC16kTdKiQ5s2hbFnarp9IhQrw2mtBBxKRhLN6tV+0t0ED1g18kv63G23awDXXBB0sht1zD1StymEDrufJMaksXQojRgQdSkRERCT+RHKE5SnASufcaufcHmAS0D7TdRxQLvR5eeCXCOYREQnfH3/A+PFw6aVsKl6VefOgQ4egQ2VQogS0bUuJWdM47zzH22/Dvn1BhxKRhLFzp99kB3CTp3BTv1Ls3Qtjx2oqeI7KloVHHoGlS7low1NccokfoPr110EHExEREYkvkSxYVgN+zvD12tCxjAYDV5jZWmAGcHNWd2RmPcxskZkt2rRpUySyiogc6PnnYft26NOHqVNh//4YK1iCnxa+di0XNvyJLVtg/vygA0ka9VsS15yDm27yCzC++CJTltbmv/+F++6Do48OOlwcuPhiaNsWBg5kzKCNlCkDN9zgf6wiIiIiEp6gN93pBExwzlUH2gEvmNlBmZxzY51zjZ1zjStVqhT1kCJSxOzfD489Bk2awCmn8OabfmPuBg2CDpbJOecAcNYfk0lJgbfeCjiPpFO/JXHt2Wfhuedg0CC2NDuXXr2gUSO/PKOEwcwvKbJrF5WH/5vhw2HuXJg4MehgIiIiIvEjkgXLdcCRGb6uHjqW0bXAawDOuU+AFKBiBDOJiORu1ixYsQL69GH7dr+hTYcOMTgNsmpVqFeP0vNn0batL1hqBI+IFMjChdCrF5x1FgwaxIAB8NtvvoaZnBx0uDhSty707w8vvki3Ez7l1FOhXz/YvDnoYCIiIiLxIZIFy4VAHTOrZWYl8JvqTM10nZ+AfwGY2T/wBUvNnRORYD36qC8GXnwxM2fCnj0xOB08TatW8MknXHh+Kj/+CF98EXQgEYlbmzf76cxHHAEvvcSni5IYNw769IGGDYMOF4f694eKFSl232Cefhq2boU77gg6lIiIiEh8iFjB0jm3D+gFzAK+we8GvtzM7jOzC0JX+zfQ3cy+AF4BrnZO44NEJEDffutHWN5wAxQvzptvQuXKcOqpQQfLRosWsGMH59f6imLFNC1cRPLJOejWDTZsgMmTST30cG680dcuBw8OOlycKlsWbrsN3nmHejs+4dZb/UjVjz4KOpiIiIhI7IvoGpbOuRnOubrOuaOdcw+Ejg1yzk0Nff61c665c+6fzrkGzrl3I5lHRCRXjz8OJUvC9dezaxdMnw7t20NSUtDBstGiBQCVvvqQFi1UsBSRfHrqKZg6FYYPh8aNefppWLIERo3ydTfJp5tugkqV4J57uOceqFEDevaEvXuDDiYiIiIS28IqWJrZBWY2MnQ5P9KhREQCsW2b3x28c2eoVIn334cdO2J4OjhA9ep+R6B587jwQj8l/Icfgg4lInHlq6/g3//2G3n16cOvv8LAgXDGGXDppUGHi3OlS8Ptt8N771F66Xwef9z/uB95JOhgIiIiIrEt14KlmQ0F+gBfhy69zezBSAcTEYm6//wH/vwTevcGYNo0KFMG2rQJOFduWraE+fNpf4FfUeO//w04j4jEj507oVMnKF/e7wxuxm23wV9/+Y2uY26zsXh0ww1QpQrccw8XXOBH7Q8eDD/+GHQwERERkdgVzgjLc4G2zrnxzrnxwNnAeZGNJSISZamp/tV5q1bQoAHOwdtv+41yS5YMOlwuWrSAjRupnbqC+vU1LVxE8qB/fz/kb8IEqFKFuXPhhRf80ovHHht0uARxyCF+t50PPoA5c3jsMX/45puDjSUiIiISy8Jdw/LQDJ+Xj0QQEZFATZsGa9b47XDxU6vXrYPz4uHtmZYt/cf582nfHubN85v9iojkaNo0/0ZN375w9tns3Qs33ghHHeWnhEshuv56v4PRPfdQo4YfYTltml8nWUREREQOFk7Bciiw1MwmmNnzwGLggcjGEhGJskcf9a/SL7gA8KMrzfySbjHvuOPg8MNh3jzOOw/27/cbnYuIZOuXX+Caa6BBAxg6FIDHHoPly/3T4SGHBJwv0ZQq5UdZzpkDH35Inz7+qfuWW2D37qDDiYiIiMSeXAuWzrlXgKbAG8AUoJlz7tVIBxMRiZovvoDZs/1ursnJgC9YnnKKX3Ys5pn5aeHz59O4MVSurFE7IpKD/fuha1e/fuUrr0DJkqxbB/fc40eVh963kcLWowdUrQr33EOJ4o5HHoGVK32BWEREREQOlG3B0syOC31sBBwBrA1dqoaOiYgkhtGj/U6u3bsD8Ouv8NlncTIdPE3LlrByJcU2buCcc2DmTNi3L+hQIhKTHn4Y/vc/Xyk77jgA7rwT9u71h7TRToSkpPgf9Lx58P77nHWWLw4PGeIHvIqIiIjI33IaYXlr6OPDWVxGRjiXiEh0rF8PL78M114Lh/rlemfOBOfirGDZooX/OH8+554LW7fCggXBRhKRGLRokS+adezon/eAhQth4kS49VaoXTvgfInuuuugenU/nNU5Ro2CPXv8bHERERER+Vu2BUvnXI/Qp+c4507PeAHaRSeeiEiEPfGEH4oY2mwH/HTwatXgn/8MMFdeNWrk10ibN48zz/Qz2zUtXEQOsGMHdOrkN38ZNw7McM6vo1ilCgwYEHTAIqBkSb+j0ccfw7vvcvTR0K+f35n9k0+CDiciIiISO8LZdOfjMI+JiMSXP/+Ep56CDh3ShxXt2eM3rDnvvDibFlm8ODRtCvPnU768H3CpgqWIHODmm2H1anjxRahQAYDXXvO1swcegHLlAs5XVHTrBjVqpI+yHDDAv0l2881+eVERERERyXkNy/8zs5OAUmbW0MwahS6tAe0dKSLxb+JE2LLFz4MMmTvXD0KKq+ngaVq2hM8/h+3bOe88+PJL+OmnoEOJSEyYNAkmTPCj+1q1AvyeO/37+43Cr7460HRFS4kScNdd8Omn8M47lCkDDz0EixfDc88FHU5EREQkNuQ0wvIs/FqV1YFR/L1+5a3AnZGPJiISQfv3+812TjkFTj01/fDbb/t9Edq0CTBbfrVs6du1YAHnnusPaZSliLBmDVx/PTRrBoMGpR8eNcq/qTF6NCQlBRevSLr6aqhZ0z8eztGpEzRv7qflb9sWdDgRERGR4OW0huXzofUqr860huUFzrk3ophRRKTwTZ8OK1b40ZUZ5n5Pn+6LlYfE4zjypk191WHePI491s9yV8FSpIjbtw86d/afv/SSX+AWvyv10KFw0UXQunVw8Yqs4sXh7rv9JkjTp2MGjz8Ov/0G994bdDgRERGR4OW6hqVzboqZnWtm/c1sUNolGuFERCJm1Ci/hljHjumHVqyAlStJH50Yd8qUgYYNYf58zHw7PvjAT/sUkSJqyBC/m8vTT0OtWumHBw6EvXv9VGQJyJVX+neWQmtZNmwI3bvDmDHw3XdBhxMREREJVq4FSzN7GrgMuBkw4BLgqAjnEhGJnCVLYPZs6N07fbQRwMyZ/uM55wQTq1C0aAELFsCePZx7ri9WfvBB0KFEJBDz5sH990PXrn538JDFi/1ylrfcAkcfHVy8Iq94cT8lfMkSmDoV8PXlQw6B224LOJuIiIhIwMLZJfxU59xVwFbn3L1AM6BuZGOJiETQ6NF+NOJ11x1weMYMOPbYAwYhxZ+WLWHXLliyhNNO8y980wqxIlKEbN0KXbr4EXyPP55+2DlfqKxc2Y+ylIB16QJ16vhRlvv3pz8u06bB++8HHU5EREQkOOEULHeFPv5lZlWBvcARkYskIhJB69b53XKvuw7Kl08//NdfftBlu3bBRSsUzZv7j/PmpW8eNHOmL1KISBHhHPToAevXw8svQ9my6acmT4b58/3Ay3LlAswoXnKyX8vyiy/grbcA6NPHv3F2662QmhpwPhEREZGAhFOwnGZmhwIjgCXAGuDlSIYSEYmYMWP8Ttq9ex9wePZs2L07zqeDA1Sp4kfrfPQR4NuzejV8/33AuUQkesaP95XJ+++Hk09OP7xrl59qXL8+dOsWYD45UKdOfnj/4MHgHCVL+rVFly3zD6WIiIhIUZRjwdLMigHvO+e2Oeem4NeuPM45p013RCT+7NjhN5646KKD5n3PmOGnT7dqFVC2wtS0KXz6KTiXXoDVtHCRIuLbb/0bMm3aHLQQ4ujR8OOP8MgjkJQUUD45WHKynwf+5Ze+M8LvB9eyJdx1F2zfHnA+ERERkQDkWLB0zu0Hnsjw9W7n3O8RTyUiEgnPPw/btvl5dhk45wt6//oXlCwZULbC1KQJbNgAP/9MrVp+4I4KliJFwO7d0LkzlCoFL7wAxf7+N2/9enjwQbjwQjj99AAzStYuvxxq1IBhwwAwg1GjYONGGDo04GwiIiIiAQhnSvj7ZtbRzCziaUREIiU11Q8vatoUmjU74NSKFX7adNxPB0/TpIn/uGAB4Ns1Z45fp1NEEli/frB0KTz3HFStesCpu+7y9cwRIwLKJjkrXtw/fvPnpy/p0bgxXHWV77rWrAk2noiIiEi0hVOwvB54HdhtZtvN7A8z0+QUEYkv06bBqlUHja6E9Bl4iVOwrF8fUlL8tHB8u3bvhg8/DDiXiETO5Ml+jd5bb4Xzzz/g1JIlvobZpw8cc0xA+SR33brB4YfD8OHphx580E/fv/32AHOJiIiIBCDXgqVzrqxzrphzroRzrlzoa+0rKSLxZdQoqFkTOnQ46NTMmXDccf50QihRAho1Si9Ytmrl1+fUtHCRBLVqFVx7rR9dnWn+sHPQty9UrOhHWUoMK13arz86bRp89RUA1apB//7w2mvpAy9FREREioRwRliKiMS3hQth3jw/vCg5+YBTf/7pp0u3axdQtkhp0gQWL4a9e0lJ8WvWzZzpixcikkB274ZLL/XrVb76qn/DIoM33oC5c2HIEChfPqCMEr6bbvKFy4ceSj/Ur58vXPbtC/v3B5hNREREJIpUsBSRxDd6NJQr56fbZfLhh/71fsJMB0/TpAns2uV3ncW3b/Vqv16niCSQfv38nO/nn4ejjjrg1K5dfqPwevX8AEyJA4cfDt27wyuv+C3d8fXLoUP9e28vvxxwPhEREZEoiWjB0szONrPvzGylmd2RzXUuNbOvzWy5menfMBEpXD//7OfSde/ui5aZzJzpXwy2bBlAtkhK23gnwzqWoGnhIgkl47qVF1xw0OlHH4UffvDv2WQaXC6xLG2t5VGj0g916eI34bnjDj8zQERERCTR5ViwNLMkM/s2P3dsZknAE8A5wPFAJzM7PtN16gADgObOuROAW/LzvUREsvX44/7jzTcfdMo5X8Br0wZKloxyrkg76iioXDl9p/DataFu3b83GBKROJfDupUAGzbAAw/4Oua//hVAPsm/I4+EK66AcePgt98AP+N/9GhYtw5Gjgw4n4iIiEgU5FiwdM6lAt+ZWY183PcpwErn3Grn3B5gEtA+03W6A08457aGvt/GfHwfEZGs/fEHjB0LF1980FRJgO+/96OPEm46OICZL2SERliCb+ecOfDXXwHmEpGCy2XdSoC77/ZTwlXcilP9+8POnX+/6Qa0aAGXXOKXt1y3LsBsIiIiIlEQzpTwCsByM3vfzKamXcK4XTXg5wxfrw0dy6guUNfMPjKzBWZ2dlZ3ZGY9zGyRmS3atGlTGN9aRAQYPx5+//3v6XWZpE2PTsiCJfiC5XffwdatgN9YaPduv26nRJb6LYmo227z61ZOmJDlmzGffw7/+Y8fWF6nTvTjSSH4xz+gfXs/5X/HjvTDw4fDvn1w550BZhMRERGJgnAKlncD5wH3AQ9nuBSGZKAO0BroBIwzs0MzX8k5N9Y519g517hSpUqF9K1FJKHt2OGnSZ52GpxySpZXmTkTjjsOataMbrSoSVvHcuFCAFq1gkMO0TqW0aB+SyJmyhQ/6q5vX1/QysQ5uOUWOOwwP8pS4tgdd8CWLfDss+mHatXyD/3EibBoUYDZRERERCIs14Klc24O8C1QNnT5JnQsN+uAIzN8XT10LKO1wFTn3F7n3A/A9/gCpohIwYweDb/+CsOGZXn6r7/89OizsxzXnSBOPtlPDQ9NC09JgdNP9wVL5wLOJiJ5t3o1dOvm34TJ5rntrbf8c9uQIXDoQW8BS1xp2tS/6fbww7BnT/rhO+/0SxT37avnchEREUlcuRYszexS4DPgEuBS4FMzuziM+14I1DGzWmZWArgcyDyV/C386ErMrCJ+ivjqsNOLiGRl0yYYMQI6dPAv+LIwe7afHp2w08EBypf30wozrWO5ejWsWBFgLhHJuzDWrdy9G/r1gxNOgO7dA8gohe/222HtWnj55fRD5cr5gvT8+X7ArYiIiEgiCmdK+EDgZOdcV+fcVfjNdHKdZOSc2wf0AmYB3wCvOeeWm9l9ZnZB6GqzgM1m9jXwIXCbc25zfhoiIpLuwQfhzz/9FrnZmDnTT49u1SqKuYLQpInfKTw0DCetQKtp4SJx5rbbYPFiv25lNutYPPaYf0Ni9GhITo5qOomUs8+G+vX9Tjv796cfvvZaqFfP782za1eA+UREREQiJJyCZbFMu3dvDvN2OOdmOOfqOueOds49EDo2yDk3NfS5c87d6pw73jlXzzk3Kc8tEBHJaM0aePJJuOYaP7owGzNn+unRKSnRixaIJk1g82ZfxQBq14a6dVWwFIkruaxbCX4FjCFD4LzzoG3bKOeTyDHza1l+8w1Mm5Z+OCkJRo2CH36ARx8NMJ+IiIhIhIRTeHzHzGaZ2dVmdjUwHZgR2VgiIvk0aJCfMjl4cLZXWbECVq1K8OngadI23sk0LXz2bL+Op4jEuDDWrQT/1LdzJ4wcGcVsEh2XXOJ32xk69IBFK884Ay64AO6/HzZsCDCfiIiISASEs+nObcBYoH7oMtY5d3ukg4mI5NmyZfDii9C7N1Svnu3V0kYXFomC5Ykn+rnvGQqW7dr5te5mzw4uloiEIYx1KwG++MJvJN2rFxx7bJQzSuQlJ/vFST/9FObOPeDUyJH+12TgwICyiYiIiERIuFO7p4Smbt/qnHsz0qFERPJlwAC/0cwdd+R4tZkz/bTo2rWjlCtIyclw0kkHFCxbtfI1TE0LF4lxYaxb6RzccgtUqOBHWUqCuuYaqFQJhg8/4HCdOv49uueegyVLAsomIiIiEgHZFizNbH7o4x9mtj3D5Q8z2x69iCIiYZgzB2bM8EXLChWyvdpff/mRhUVidGWaJk1g6VI/DAe/bufpp6tgKRLTwli3EuCNN/xz2pAhOT71SbwrVcpXpmfO9ENqM7j7bqhY0Z/OMGNcREREJK5lW7B0zrUIfSzrnCuX4VLWOVcuehFFRHLhHNx+O1SrBjffnONVP/zQ76h67rlRyhYLmjSBPXvg88/TD51zjl/Hc8WKAHOJSNZWr/bbQOeybuWuXX6mcL160L17FPNJMG64AcqUOWiUZfnyfh3LefNg8uSAsomIiIgUshynhJtZkpl9G60wIiL58tZbfsrzvff6USg5mD4dSpf206KLjKZN/cdMG++AH5QqIjFk92647DK/O/SkSdmuWwl+l+g1a+CRR/zqD5LgKlSAnj39eqarVx9w6tpr4Z//9KsI7NwZUD4RERGRQpRjwdI5lwp8Z2Y1opRHRCRv9u2DO++E446Drl1zvKpzvkB3xhlQsmSU8sWC6tWhatUDCpa1a/sf2fTpAeYSkYP17w+LFvlFCWvVyvZq69bBgw/CRRdBmzZRzCfB6tvXV6cffviAw0lJMHo0/PijL2SLiIiIxLtwNt2pACw3s/fNbGraJdLBRETCMmECfPutf+WeyxCjr7/2L+aK1HTwNE2aHFCwBP9zmDMHduwIKJOIHOiNN+Cxx/xihBdemONVBwyAvXthxIgoZZPYULUqXHkljB8Pv/56wKnTT4cOHWDoUPjll4DyiYiIiBSScAqWdwPnAfcBD2e4iIgEa+dOGDzYT3nO5cU9/D39uUhtuJOmSRO/aOVvv6UfOvdcv7Tl//4XYC4R8Vavhm7d4OSTD1qjMLMFC+CFF+Df//ajpaWIue02v3TAY48ddGrkSF/IHjAggFwiIiIihSjXgqVzbg6wBige+nwhsCTCuUREcvf4435e5PDhfr23XEyf7tf4ql49CtliTRbrWLZoAeXKaVq4SOAyrlv56qs5rlu5fz/06QNHHKGiVJF17LF+LYAnnoDffz/gVO3aftb4xInw2WcB5RMREREpBLkWLM2sOzAZeCZ0qBrwViRDiYjkautWP++tXbuwdtD5/XeYP99fvUhq3NgvcvbJJ+mHiheHM8/0BUvnAswmUtSFuW4lwIsv+kLUsGFQtmyU8knsGTDAd2xjxhx0auBAqFLFryyg53YRERGJV+FMCb8JaA5sB3DOrQAqRzKUiEiuhg3zL9aGDg3r6u++C6mpRXT9SvBbo9evf0DBEvzPY/16WLo0oFwiRd2UKWGvW7ljB9xxB5xyClxxRZTySWw66ST/Dtzo0QctRFy2rF/W+ZNP4JVXAsonIiIiUkDhFCx3O+f2pH1hZsmA3q8VkeCsXetf4F9xhS/ChWHGDKhQwS/lWGQ1a+aHZqWmph9KW89T08JFAvDxx/55rEmTXNetBP/+zPr18OijUCyc/+Aksd19N2zeDE89ddCprl2hYUO4/Xb4888AsomIiIgUUDj/7s4xszuBUmbWFngdmBbZWCIiORg82C/kdt99YV19/35fsDz77Fw3Ek9sTZv6kTjLl6cfqlLF7/GhgqVIlH3zDZx/vl9Ud9q0HNetBL8nz8MP+/pm2pK0UsQ1bQpnnOF32vnrrwNOJSX5ZZ7XrvWjLUVERETiTTgFyzuATcCXwPXADOfcwIimEhHJzjff+HXebrwRatYM6yaLF8PGjUV4/co0zZr5j1lMC//sM9i0KYBMIkXRunX+HZTixWHWLKhUKdeb3HabL0INGxaFfBI/7r7bd3Djxh10qnlzuPJKX89csSKAbCIiIiIFEE7B8mbn3Djn3CXOuYudc+PMrE/Ek4mIZOXOO/16jAPDf99k2jQ/fTJt+nORdfTRULEiLFhwwOFzz/UbM8ycGVAukaJk2zb/ZLR1q/+jq10715u89x688YbfZ6VatShklPjRqhWcdppfUmDXroNODx8OJUtC797agEdERETiSzgFy65ZHLu6kHOIiOTuk0/grbf8jroVK4Z9s6lT/UiTww+PYLZ4YOanEGYaYdmokZ8armnhIhG2a5ffWOfbb30FsmHDXG+yezf06uXfb+jXLwoZJf7cfbdf3HT8+INOHXEE3HsvvPOOf/NOREREJF5kW7A0s05mNg2oZWZTM1xmA1uillBEBPzQkNtv95W1vn3DvtmPP8IXX8AFF0QwWzxp1gy++w62/P00XqyYH2X5zjuwZ08OtxWR/EtN9fNz58yBCRP82oNhGDUKvv8exoyBlJTIRpQ41aaNf24fNizLJ/FeveCEE6BPH9i5M4B8IiIiIvmQ0wjLj4GHgW9DH9MutwJnRT6aiEgGM2bAvHkwaJCfEh6mtBElKliGpK1j+emnBxxu3x62b/e1FBEpZM7BLbfA5Ml+55zOncO62U8/wZAh0KGDX/JSJEtmfpTlzz/DxIkHnS5e3Be816yBhx6KfjwRERGR/Mi2YOmc+9E5Nxs4A5jnnJsDrAeqAxadeCIi+JFJAwbAMcdA9+55uunUqXDssVC3boSyxZuTT/ZDKjNNCz/jDChVCv7734ByiSSy4cN9xejf/4Zbbw37ZmmDyUePjlAuSRxnnw2NG8PQobBv30GnW7eGyy/3gzB/+CH68URERETyKpw1LOcCKWZWDXgXuBKYEMlQIiIHePll+PJLuP9+P1QkTNu3w+zZGl15gDJloF69gwqWhxwCbdv6Aq82ZhApRBMm+DdcOnfO0/C2d97xy1zefTccdVTk4kmCMIO77oLVq32fmYURI/xO83lYVUVEREQkMOEULM059xdwEfCkc+4S4ITIxhIRCdmyxe8IftJJcMklebrprFmwd68Klgdp1sxPCU9NPeBw+/Z+RuHnnweUSyTRzJwJ113nhzA/95wf3RyGXbv8uoN16+ZpQKYUdRdcAPXrwwMPHPT8DlC9ul9V5b//9b+aIiIiIrEsrIKlmTUDugBpe8gmRS6SiEhIaip06gQbNsATT4T9Yj/N1Kl+Z/C0ZRslpFkz+OMP+OabAw6fd54fpKNp4SKF4LPP4OKLfQHpjTegRImwbzpiBKxa5WeRlywZwYySWNJGWX7/Pbz+epZXueUWv0xKr17agEdERERiWziv/m8BBgBvOueWm1lt4MPIxhIRwb/wevddX6xs0iRPN923D6ZP97tfJ+ktlgM1beo/ZpoWXrkynHqqCpYiBbZihX/yqVLFbxhWtmzYN/3hB3jwQT+gvG3bCGaUxNSxI/zjH34Jlf0jg/GuAAAgAElEQVT7DzpdogQ89ZSfOX7//QHkExEREQlTrgVL59wc59wFwBNmVsY5t9o51zsK2USkKHv9db87wPXX53mjHYCPPoKtWzUdPEt16vihpwsWHHSqfXs/JfynnwLIJZIINmyAs87yn8+aBf/3f2Hf1Dno3du/yTJqVITySWIrVswvo7J8Obz1VpZXOf10uPpqv6TqV19FN56IiIhIuHItWJpZPTNbCiwHvjazxWYW1hqWZna2mX1nZivN7I4crtfRzJyZNQ4/uogkrC+/9K+mmjWDRx/N111MnepHkpx5ZuFGSwhmfpRlphGW8HeBd+rUKGcSSQTbt0O7dvDrr35kZZ06ebr5lCnw9tsweLBfb1AkXy67zP/uDRmS7S5qI0ZA+fL+PcEsBmKKiIiIBC6cKeHPALc6545yztUA/g2My+1GZpYEPAGcAxwPdDKz47O4XlmgD/BpXoKLSILasgUuvNC/kpoyJV8LuDnnl4xr0yZPMzGLlmbN/BqWW7cecPjYY/1F08JF8mjPHrjoIv+Gy5QpcPLJebr51q1w883QqJFfZ1Ak35KT4c47/XD5t9/O8ioVK8LDD8PHH8Ozz0Y5n4iIiEgYwilYlnbOpa9Z6ZybDZQO43anACtDU8j3AJOA9llcbwgwHNgVxn2KSCJLTYXOnf1W1VOmwBFH5Otuli6FNWv8fheSjbR1LD89+L2i9u1h9mzYti26kUTi1v79cM018P77vvpz9tl5vovbb4dNm2DcOF9vEimQLl2gZs0cR1ledZWfHt6/v1/JQERERCSWhFOwXG1md5tZzdDlLmB1GLerBvyc4eu1oWPpzKwRcKRzbjoiInfd5dd8GzOmQFt7T5ni14Brn9VbJOKdcopf6yybdSzTNi2S/DGzHma2yMwWbdq0Keg4Emn9+8PLL8PQodC1a55vPmeOL1T27etHWIoUWPHiMGAALFzoN6/Lghk8/bTfLbxv3yjnExEREclFOAXLbkAl4I3QpVLoWIGYWTFgFH6KeW7X1Qs/kUSXtslOjx7+kk/OweTJcNppfsqbZKNsWTjxxCzXsWzaFKpV8z9HyR/n3FjnXGPnXONKlSoFHUci6eGH/eXmm/0wyTzatcs/5dWq5deuFCk0Xbv6xVBzGGVZt67fo2fSJHjnnSjnExEREclBOLuEbw3tCn46cJpzro9zbmtutwPWAUdm+Lp66FiassCJwGwzWwM0Bf6/vfuOcqrc+jj+3XSQpiIWQEAUBRsIF0URGyjYKzYsiFzEir299o5d0atYwY6iXlDUq4AFvSpVpCgigooNEJDOlOf9Y2euI07JDElOyu+zVtaUnCQ7k8xJss9+9h5Z0uAdffATyXLTp/tyys6d4YEHNuiqZsyA2bO1HDwunTv7kvD1Ji5UqQLHHANvvQXLl0cUm0gmeP55uOQSOO44uPdeL1mroFtu8X3WI4/ARvE03BGJV82ankT/+GPv81GKyy+HHXaAAQNg1arUhSciIiJSlnimhP/DzL4EvgC+NLMvzKxDHNc9AdjOzFqaWQ3gBOB/c2dDCMtCCI1CCC1CCC2AT4HDQwgTK3VPRCQzLVniQ3bq1fOSvkoM2SluxAjPGRx1VILiy2Z77AHLlsFXX/3trGOPhbVrS53XICLvvQennw777gvDhnkfigqaPt0Ly3v3hgMPTHiEItC3L2yxhVdZlqJmTXj0Ue/9fO21qQtNREREpCzxLAl/Aji7WGLxHOCp8i4UQsgHzgXeAWYBw0MIM8zsRjM7fANiFpFsUTRk5/vvPdO41VYbfJUjRsBee/nnMylHUZ/QEpaF77WXzzzSsnCREkyZ4kdF2rSB11+HWrUqfBUFBdCvHzRoAPfck4QYRQBq14ZLL4Vx47zSshRdu3prgnvvLbG1sYiIiEjKxZOwLAghfFT0QwhhPJAfz5WHEEaHEFqHEFqFEG6J/e7aEMLIErbdV9WVIjnmmmu8adbgwbDnnht8dbNnw5dfajl43Fq3ho03LjFhWbQsfPRoWLEigthE0tXcudCzJ2yyifdNaNCgUlfz8MOeGLr3XlC3G0mq/v29qXMZVZYAd97p/Yv79PHeqiIiIiJRiidh+YGZPWpm+5rZPmb2MN53crfYlG8RkYp75RWfqNuv3wYN2SluxAj/evTRCbm67Gfmy8JLKac59lj/0Dp6dIrjEklXv/0GBx0EeXl+sKWSVeHffgtXXOFX1bt3gmMUWd9GG3mv1Xfegc8/L3Wz+vV9Wv1XX8ENN6QwPhEREZESxJOw3BVoDVwHXA+0AdoDdwN3JS0yEcle06d777fOneHBBxN2tSNGQKdO0KxZ+dtKTOfOMHOm97JcT5cusPnmPsBdJOetWAGHHgoLFnhz1zZtKnU1hYVewVa9Ojz+eKXm9IhU3Nlne1XwzTeXudlBB/nz8847YaLWPYmIiEiE4pkSvl8Zp/1TEaSIZJEED9kp8t13MGmSL2OWCujcGULwaeHrqVrVq1XffBNWrowgNpF0kZfnk8AnTYKXXvqz/2slPPAAfPQR3H8/NG2awBhFylKvHgwcCKNGeQ/WMtxzjx+s6tMH1q1LUXwiIiIi64mnwvJ/zEzzYkWk8pIwZKfICy/41169EnaVuaFTJ89MfvhhiWcfdxysXu2t+kRyUgjeuuLtt32U8mGHVfqqZs+GK6/0Qs1TT01gjCLxOO88X/d93XVlbtawoT/Vp0+H669PTWgiIiIi66tQwhJokpQoRCQ3XHutf+h/8MGEDNkpEgI895xPtm7RImFXmxvq1/ek5XvvlXh2164+EGT48BTHJZIurr4ahg71pn5nnlnpqyko8E4YtWvDkCFaCi4RaNjQM+ajRpXbnPjQQ6FvX7jjDhg/PkXxiYiIiBRT0YRl2WtIRERKM2IE3Hqrf+BP0JCdIl984W0YTz45oVebO7p1gwkTYOnSv51VtapXrY4aVWKbS5Hsdv/9Physf3+45poNuqo774T//hcGD4Ytt0xQfCIVddFFsP32cP755Y4Cv/deaN7cq4GXL09RfCIiIiIxFUpYhhDOSFYgIpLFZsyA007zidSDBye8tOi556BaNV++LJXQvbtPAhk3rsSzTznFP9cWTWEXyXrr1nlCZ+BA77n70EMbtN+aNMnznccdByeemMA4RSqqRg1/Hf72W8+il6FePRg2DObN8zyniIiISCqVm7A0sy/NbNp6p4/M7F4z2zQVQYpIBis+ZGfEiIQN2SlSUOD9K3v0gEaNEnrVuWOPPaBuXXj33RLP7tQJttsOnnkmxXGJROHnn2H//b11xUUXwcsve6lxJa1c6a17t9gCHnlES8ElDXTr5qXzt97qE+vK0KULXH65T7QfOTJF8YmIiIgQX4XlW8CbwMmx0yhgIvAL8HTSIhORzFdQ4Ou058/3ieAJHLJT5KOPYMECLQffINWrwz77lNrH0gx694b33/d5SSJZ6+OPYbfdfIryiy/C3Xd7+fYGuOgi+OYbr1TbZJMExSmyoe6+2xPxAweWu+kNN8Cuu3pHl19+SUFsIiIiIsSXsOwWQrgyhPBl7HQ1sE8I4Q6gRXLDE5GMdt11Pl76gQd8Ik4SPPccbLQRHH54Uq4+d3Tv7lmV+fNLPLt3b//6/PMpjEkkVULwZbL77uvVxp99Bscfv8FX+/rrPmDn0kthv/02PEyRhGna1F+jR46EN94oc9MaNfy1dsUK72dZWJiiGEVERCSnxZOwrGpmnYp+MLN/AEVro/KTEpWIZL5XX4VbbvGSjP79k3ITa9d64eZRR0GdOkm5idzRvbt/LWVZ+Dbb+GD3Z57x3I5I1li1ynvsnnce9OzpA6h22mmDr/ann3z317493HRTAuIUSbQLLoA2bbxf6+rVZW66444+g+rdd8ttfSkiIiKSEPEkLM8EnjCz78xsHvAEcKaZbQTclszgRCRDzZjhZRi7756UITtFRo/2wdZaDp4Abdr4kv1SloWDD9+ZOdNXy4pkhblzPRP/7LNw441eEtmw4QZfbX6+D9dZvdor02rUSECsIolWNIDnu+9g0KByNz/zTG99efXVPvFeREREJJnKTViGECaEEHYG2gG7hhB2if1uZQhhePJDFJGMsnRpUofsFDdsGDRu7PMDZAOZ+R9yzJhS1/v16uXtLp99NsWxiSTD229Dx47eBuHNN32Md5V4juOW77rr4MMPfchOmzYJuUqR5Nh/fzjhBLjtNk/gl8HMWxw0a+YJ+aVLUxSjiIiI5KR4poQ3MLN7gDHAGDO728waJD80Eck4RUN25s3ztdpNmiTtpn7+GUaN8pWcGzgTQ4p07w6LFsHUqSWevckmcMgh3scyXw1BJFMVFsLNN8PBB8PWW8PEib4UPEHeeceHL/ft61XJImnvrrv8aNQFF5S7aYMG8MILPuzuzDPVIkRERESSJ55SgieB5UCv2OkP4KlkBiUiGSgEuOoqX6edxCE7RZ5+2vOjZ56Z1JvJLQcc4F/LWBZ+6qnw668+S0kk4yxb5hXg11zjB1c++QRatUrY1S9Y4AOqdtrJd4MiGaFJE7j+eh++M2pUuZvvsYcn5UeMgPvuS354IiIikpsslHNo1MymhhDalfe7VOnYsWOYOHFiFDctIqWZMwf++U8YNw769YNHH01a30rwAqnttvNlae+/n7SbyU077wxbbFHq8J28PC9K69Ch3MGyWcXMJoUQOlbmsnrdShPTp8PRR3u/vnvvhXPOSeh+Ki/Pc/6TJ3vR5g47JOyqRZIvLw/atfMhVDNnQu3aZW4eAhxzjA8ZHzsWunZNUZwSlw15zRIREUkX8VRYrjazLkU/mNleQNmjBEUkN+Tnwx13eJJr8mRvbvXII0lNVoLnRefO9dyoJFi3bvDRR6VOjK1e3ataR4/21n8iGWH4cC8LW77cdyDnnpvw/dTFF/u/zpAhSlZKBqpeHR56yFu63H57uZub+UqHVq28v/FPPyU9QhEREckx8SQszwIeMrN5sSnhg4H+SY1KRNLf5MnQqRNccYX3f5s50zOICRpaUZbHHoONN/bqDkmw7t1h7Vr4+ONSNylahv/44ymKSaSy8vPhkkvg+OO9emzyZOjSpfzLVdDTT8ODD8KFF8JJJyX86kVSY999/Ql8xx2+cqIc9evDq6/CihVw3HGwbl3yQxQREZHcEc+U8C9CCLsCuwC7hBDaA/snPTIRSU+rVsFll3my8uefvYnVq6/CVlul5OYXLYLXXvNhFrVqpeQmc0vXrl5pU8qScIDmzX1eyeOP+ypCkbT022+egL/7bq+oHDsWttwy4TczYQKcdZYPWx40KOFXL5Jad94JNWrA+efHNVFnxx3hiSe8HezFF6cgPhEREckZcZdChRD+CCH8EfvxoiTFIyLpbOxY2GUX/0Bzxhkwa5b3hEuhYcO8ikPLwZOkbl3o3LnMhCV4guaXX+KazyCSep995o1WP/3UdxoPPuhJmAT79Vc46ihv+/rSS1CtWsJvQiS1ttoKbrjBJ6uNHBnXRY4/3pOVgwd7C2sRERGRRKjs2s3kNqgTkfSyZAn07esTJcw8cTlkCDRsmNIwQvDl4J07+xReSZLu3WHKFC9nLUXPnj706JFHUhiXSHlC8H1T166ePfzkEy/HToK1a+HYY+H3373qu1GjpNyMSOqde66/yF5wga+qiMMdd3jlfVExs4iIiMiGqmzCsvw1IiKS+UKAV16BNm1g6FDvVzltGuy3XyThjBkDX33lA8klibp3969jxpS6SdWqXuX67rvw7bcpikukLGvWeIPV/v19HzVpErRvn5SbCsGLzMePh6eeStrNiESjaADP/Plw221xXaRqVXjhBdh+e0/kf/NNkmMUERGRrFdqwtLMlpvZHyWclgOpaVYnItFZsMDXOh53HDRp4o3abrsNateOLKS774bNN4cTT4wshNzQoQM0aFDusvC+ff1DqqosJXLffw977w1PPgn/93/w5puwySZJu7nrr4fnn4dbbvHlsCJZp2tX6N3bG7PGmX2sX9/bhFStCoce6oszRERERCqr1IRlCKFeCKF+Cad6IQR1aRLJVoWF3oSqbVv4z3+8X+Vnn0VeQjRjBrz9ti83q1kz0lCyX7VqPkHk3XfLHLqw1VZeSTNkCPzxR6mbiSTXmDGeZJ89G15/HW66yTMmSTJsGNx4o1dYXnll0m5GJHp33unT7c47L64BPAAtW/ocvu++8xbXa9cmOUYRERHJWpVdEi4i2ejrr30p5VlnQceO8OWXcMklaTFJ4p57vLhzwICoI8kR3bt71dqcOWVudumlnqwcMiRFcYkUCcGrvw48EBo39irwI45I6k2+/76vOj/gAK8sNnX0lmy2xRaenX/nHT8YEKe994ann/b/l1NOgYKCpEUoIiIiWUwJSxGBvDy49VbYdVfvUfnkk/Dee9CqVdSRAT6J99ln4fTTYdNNo44mR3Tr5l/LWRbeoYMXY953n09vF0mJ5cu9XcXll8Mxx3gVeOvWSb3JKVM8H7rttt7at3r1pN6cSHo45xzYeWcYOBBWroz7Yied5G1cXn7ZLxpngaaIiIjI/yQ1YWlmPczsazObY2ZXlHD+RWY208ymmdkYM2uezHhEpAQTJng15dVXw+GHw6xZ0KdPWpUOPfSQ51QHDow6khyy7bbQvLknrstx2WXe8vSFF1IQl8hXX8Huu/to7rvugpdegrp1k3qTs2fDQQdBw4beKaNhw6TenEj6qFbNX4S//94PbFbARRfBxRfD4MFw++1Jik9ERESyVtISlmZWFXgI6Am0BU40s7brbTYF6BhC2AV4BRiUrHhEZD0rV/oniT32gEWLfLnX8OG+BCyNrFoFDz8Mhx2W9AIqKc7MqyzHjoX8/DI3PfBA2GUXb3dWWJii+CQ3vfYadOoECxd69e/FFyf94MoPP3iHBPCbbNo0qTcnkn723htOPdV38rNnV+iigwZ5teVVV8FjjyUpPhEREclKyayw7ATMCSHMDSGsA14E/tJcKoQwLoSwKvbjp4A+Boikwn/+Azvt5I0h+/eHmTOT3vutsoYOhcWLPS8hKda9OyxbBhMnlrmZmVdZzpgBb72VotgktxQU+ISbo4+GHXaAyZO9F0GSLVrkCfmlS33olw6aSM4aNMgbSVdgAA9AlSrw1FPQs6e/3Rg6NIkxioiISFZJZsKyCfBDsZ9/jP2uNH2BEj/qmtk/zWyimU1cuHBhAkMUyTGLF3sjyIMOgho14MMPvXyxQYOoIyvRmjW+Aq1zZy/wkBQ74ADPRo4aVe6mvXpBs2b+mVb0upVQixZ5tuP226FfP99vNWuWkps94ACYN8//BXbbLek3KZK+Nt8cbr7ZD3i+9FKFLlqjBowY4f9PZ5wBL76YpBhFREQkq6TF0B0z6w10BO4s6fwQwpAQQscQQsfNNtsstcGJZIMQ/ANG27bw3HPer/KLL9I+C/joo/Djj/4ZKY1aauaORo3g4IN9CFNeXpmbVq/uVbAffgjjxqUovjSm160EmTzZe+x+8IGvJx0yBGrVSvrNLlzoBZyzZ8PIkdC1a9JvUiT9DRjgLRkGDID58yt00dq14d//9rcdvXt7AlNERESkLMlMWC4AipdANI397i/MrBtwNXB4CGFtEuMRyU0//ODDdE44wYeoTJrkGcAUfOjfECtXenXlfvulZOWnlGbAAPjlF+9xWo7+/b2/3xVXaCKsbKCVK71cd889vTHqRx/BmWem5KYXLvRKsG++8crKov6VIjmvWjWfrlZQ4I0py+lvvL46deCNN3xm1gkn+ARxERERkdIkM2E5AdjOzFqaWQ3gBGBk8Q3MrD3wKJ6s/C2JsYjknsJCX+69444+OOWee+C///XpKBngwQfht988tyoR6tHDE93/+le5m9aqBTfcAJ9/7rNRRCps1Sq4+27YZhu4/HIf/DRpkld1pcCvv/oBkjlzPLHSrVtKblYkc2yzjS9/+OQT3+FXUN263uu4KGn51FNJiFFERESyQtISliGEfOBc4B1gFjA8hDDDzG40s8Njm90J1AVeNrOpZjaylKsTkYqYNcvXXZ1zjjeAnD4dLrwQqlaNOrK4LFvmxVUHH+wFVhKhqlW9dHLcOPjqq3I3P/VUn4ly9dUVLr6RXLZqlR9UadkSLrnED6yMH+9ZwxQtqZ87F/bay7++8YZXWYpICU48Efr0gVtuqVQPkPr14Z13/IDAGWfAAw8kIUYRERHJeEntYRlCGB1CaB1CaBVCuCX2u2tDCCNj33cLIWweQmgXOx1e9jWKSJnWrYMbb4R27Ty5NGyYj7Zt2TLqyCrknntgyRK46aaoIxEA+vb1JpWPPFLuptWq+VL+r77SNFiJw+rVcO+9XrV18cWw886+/Pvddz17mCJTp/rBkSVLvCBdbShEyvHgg9C6tTekXLSowhffaCPvD3vUUXDBBf56r1YiIiIiUlxaDN0RkQT49FMfY3vddXDMMV5lecopGTet5qefPGF5zDGayps2Gjf2B2ToUK+EK8eRR/pyv+uu83yUyN+sXg333eeJyosu8tYVH3wA770HXbqkNJT334d99vGc/Pjx/twVkXJstJGP+160yKstK5FtrFkThg/3tyrXXgtnnVXufDcRERHJIUpYimSyELy/29lne3nQH3/4Wsbnn/ckUwa6+GL/wHL77VFHIn8xYAAsXeofUMth5o/fggWekxL5n9Wr4f77PVF54YXQpo1nDMeMiWQU97PPepvWJk28JV+bNikPQSRztWsHd93l7zsqua67WjV4+mm48koYMgQOPdTfyoiIiIgoYSmSaQoKvBJp4EBo0QI6dvR3+WefDTNmwCGHRB1hpY0Z4/mwK66AbbeNOhr5i7339iq4OIbvAOy7LxxxhC/z++675IYmGWDNGk9otGrl+67tt/fed2PHenljihUWeoLklFNgjz18FXqzZikPQyTznXsuHHYYXHaZr+yohCpVvJXIY4/5+4AuXeCHHxIcp4iIiGQcJSxFMsHatT5Ws18/2HJLzwY98ohXNzz1lI+2HTwY6tWLOtJKW7vWZwS1auXDgSXNmPl6vYkT/RSHBx/0mT0DBqg3Wc5as8b3Ta1aeaO67bbzROX77/t+LAIrVsDRR3sVcL9+8J//wKabRhKKSOYzg8cf9538Y49t0FWdeaa/1Zk/H/7xD/jwwwTFKCIiIhlJCUuRdLViBbz8Mpx0kk/JPfhgeOklH6s5fLj3jfr3v+H007Pi0/Y998DXX3uSq3btqKOREp1yCtSpE3eVZbNmPkT2nXfiWkku2WTNGnjoIS+VPu88XwI+ZkykiUqA2bO9e8aoUb4y/dFHoUaNyMIRyQ6NG/vqjhde8FUgG6B7d/jvf6FBAx9+dd99OuAlIiKSq5SwFEknixd7M6cjjoBGjaBXL5+We/zx8OabsHCh96c87jioWzfqaBNm3jxfOnz00dCzZ9TRSKkaNICTT/YPpUuWxHWRc87xSpmBA+H335Mcn0Rv7Vp4+GFPVJ57rreteO89L5Xaf/9Ih4C99BJ06OC9VUePhvPPz7iZZCLp6+ST4ZdfvM3DBmrbFj7/3FeaX3ihH7ddsSIBMYqIiEhGUcJSJGoLFnglUrdusPnmPm1zyhRffvvBB/4B4LHHvMKyZs2oo024ggI47TTvYXXvvVFHI+UaMMAHpwwbFtfmVav603fxYi31z2pr13rl7bbbepa6eXM/2PLRR3DAAZFmBtes8Ra/J5wAO+8MU6fCQQdFFo5Idjr0UKhfP2Hl9A0awIgR3tty+HBv1z15ckKuWkRERDKEEpYiUZgzBwYNgs6doWlTr0RasMAzOhMnegOn++7zqblVq0YdbVLdcosXXz38MGy9ddTRSLnat4fdd/fkVJzr9Hbd1ae/P/44vPZakuOT1Fq3zvvpbredZwWbNfOmkOPH+0GYiEsYp03zoTr/+hdccokfA9JwHZEkqFULevTw8uUEreGuUsWHY737Lixf7v/Lgwb50CwRERHJfkpYiqRCCPDFF3DddbDLLv7h/vLLIS/PM3YzZ/p0zVtu8TWLObJOcfx4uOEG6N0bTj016mgkbmef7Q1Hx42L+yI33eRLw/v0gblzkxibpMa6dTBkiO/LBgyAJk28WenHH3sTuoj3Yfn5cNttXpX1yy/es/LOO6F69UjDEsluBx/s/3BTpyb0avff3w8+HH64v3Xq1g2+/z6hNyEiIiJpSAlLkWQpLIRPPvGynlatfKL3zTfDxht79eS8eV5NedVV0KZN1NGm3JIl3peqZUtfES8ZpFcv2GSTuIfvgA82GT7c81i9evkKYslA69b5Gv/WraF/f9hyS3j7bd/XHXhg5IlKgK++gi5dfNd65JEwfbqvVhWRJOvRw7++9VbCr3rTTX0O4RNPeH/LHXeEBx7Y4Bk/IiIiksaUsBRJlBUrvLpo8GA44wyvONprL39HvcMO/iH/5599TeIFF3iPtxxVWOh/op9/9vkt9etHHZFUSK1aXir5+uv+IMapRQufKTVpki8RlwySl+dr+rffHv75T++3+9ZbPs73oIPSIlG5ahVcfbUXsc+e7fuW4cN9fpmIpMDmm8NuuyUlYQm+mznjDD8I0aWLv5Xaay/48suk3JyIiIhETAlLkcpYtMibKg0aBCee6B/i69f3d9DnnefrD7t08YneCxd6T6czz4TGjaOOPC1cfrnnugYN8mXCkoH69/d1t48/XqGLHXEEXHSRV9U+80ySYpPEycvzkqbWraFfP9hsM9+fffqpV1OlQaIS4I03vOLq1lt9lzxrlg/ZEZEU69nTD2QsXZq0m2jRwndDzz0H337rOdKLLkrqTYqIiEgELCSoMXaqdOzYMUycODHqMCRXhAA//OBTu4tOkyfDjz/+uU3z5j6IpPipSZO0+SCfbh54wKsizj3Xv9efKYMdeKBnhr77DqpVi/tieXlelPfRR/Dvf3vbs3RnZpNCCB0rc9mMfN3Kyy/KlWIAABWMSURBVPOM8s03++PbsSNcf70/WGn0Tzttmh8AefttaNvWh3fts0/UUYnksPHjYe+94ZVX4Jhjkn5zixbBFVfAk096p5KbbvJjKxV4ScpKG/KaJSIiki6UsBQpUlAA33zz1+TklCmweLGfb+ZLu4snJtu188ZKEpdXX4Vjj/Uqu1deyfoB6Nnvtdfg6KMr9cH0jz9gv/083/nuu76sL53lTMIyP//PROXcuT4E7Prr4ZBD0ipR+f33cO21MGwYNGwI//d/XtyuoToiEcvL8z4Mxx/vg7lSZMoUGDgQPvzQq61vusl72KbRbiullLAUEZFsoISl5Ka1a2HGjL8mJr/4Alau9PNr1ICdd/5rcnKXXWCjjaKNO4ONGeODL9q39+9r1446Itlg+fn+f7Jsmf//bLZZhS7+22/eOWHhQv+QufPOSYozAbI+YfnHH/Dii96noWiN5fXX+z9tGn3i//57n/b92GP+8wUXeHXVxhtHG5eIFHPMMTBhAsyfn9L9Rwh+HO2KK/z4c/v2cOONaXe8JSWUsBQRkWyQ4wsmJKvl5/vS7XnzfElj0dcvv/RkZV6eb1evnldK9u37Z3KybVuV6iTQyy9D797eBm/kSCUrs0a1ap7k2n13OPVUePNNqBJ/a+TGjb26cs894YAD/OLqaZpCBQUwdqxPQnrtNVi92vd///43HHZYWn3C//ZbuP12GDrUfz7tNLjmGth662jjEpES9OjhSypmzfL3Uyli5kX/hx/u/S1vvNF3ZR07wiWXeB4115eKi4iIZBK9bEvmKiyEn376e0Ky6OsPP/gH8iJVqnhvybZt/c10UXKyVasKJVmkYh55BM4+25NSo0apEirr7Lor3HcfDBgAd90Fl11WoYs3b+45sx49YN99Pf952GHJCVVivvrKM3/PPAMLFvia6tNP9yxgp05pk6gMwZ8bDz7oBzpq1oSzzoJLL4VmzaKOTkRK1aOHf335ZbjuupTffLVqvjs76SRvG3HHHT6Eq3lzr8ru29fnJIqIiEh605JwSV8hwK+/lp6Q/P57WLfur5fZckto2dJHSK7/tVkzX+otKVFQADfc4H2kDjkEhg+HOnWijkqSIgTvV/bqq762e889K3wVv/7qq48nT4bBgz3/mU4yfkn4kiXw0kteTfnZZ95AtkcP/1R/2GFQq1a08RWzZAm88IJPkp8509vh/fOf3qNyiy2ijk5E4tKzp0/Fmjcv8hUrhYV+wPTuu33YW926cOKJvl/p0CFtjtEklJaEi4hINlDCUqJRWAi//+5Zit9+868//PD3xOSaNX+93GablZ6QbN48rT5057IFC3wJ+PvvQ58+8OijkX9ekWRbtswrlgsKvCfsJptU+CpWrvQqmDfe8OfN/fd7x4Z0kJEJy/x8+M9/PEk5cqT37t1pJ6+mPPnktMr+FRR4e4Cnn4bXX/dQ27f3aqjjj9euXSTjjBrla7NTNC08Xp9/7is/XnzRu2C0a+evN716pdUucYMpYSkiItlACUtJnLVrPflYlIAs6+vChX9drl1k441LT0i2aKGhNxngjTc8H7J6tVdInXZadlYvSAkmTPBx3wcf7D0RK/HA5+f7rJfbbvNjEMOG+WCeqGVUwnL6dF/y/eyz8MsvsOmmvjby9NM9C5gm/5D5+V6Q+8orXpz766+e5z7pJE8gpFGoIlJRBQWwzTaw7bY+aS/NLFsGzz/vA7ymTPHOQPvt55WXRxzhld2ZTAlLERHJBkpYSulC8Mmx8SQgf/3V3/2VpE4d2Hxzn7BR2tfGjaFpU2jQILX3URJm/ny4/HJfdbrrrl69sMMOUUclKXfffXDhhV4eef75lb6ajz/2OT7z5sHAgT5gpWHDxIVZUWmfsFy0yNdRDx0KkyZ5E7dDDvEk5cEHp007jKVLvZLyrbf84MbChf4SccghXkl56KHeq1JEssBtt8FVV3lvhzZtoo6mVDNn+nuWF16AOXM8ebnXXt4t47DDYPvtM+/giRKWIiKSDZSwzHbr1nkicelSPxX/vvippN8vXOhVkyXZdNOyE5DFv6oqMqutWOEN7e+6y9/QX3opXHmllnDmrBDgyCNh9Giv8Dv++Epf1fLlPtn1scc8WXn11XDOOdE8t9IyYZmX53/noUM9+5eX52WJp5/uZUKbbZb426yglSvh00+9b9zYsfDJJ1541bCht9A89lhvdaf+tiJZ6Lff/GD0gAF+ECvNheB9lEeO9NPUqf77pk29+rLo1KJFpGHGRQlLERHJBkpYprs1ayqWZFz/vFWryr7+KlX8k2ODBv616NSggX/YLSkB2aiRGhIKCxb4cJRHH/UhGSedBLffrum9gldmH3oojB/vmewLL9yg8pQvvvDq3Xfega239r6GffqkduJ8WiUsp071Zo/PP+8Hlho39qaxp50Gu+ySuNupoBB8vzBpkj/0H33k3+fn+0tNu3aenOzZE3bf3YtARSTLnXyyH1D56aeMO4D9/ffw5pswbpz35F640H/fogXssw906gQdO/puN90O0iphKSIi2UAJy0QIwSsRV67862nFirJ/LmubFSs86VhahWORatX+nmgs/nN559Wtm3nrXCQy69bBe+954dzLL/vspCOPhMsu8wSEyP+sWuVrukeM8DV1Q4Zs8ESDMWO8v+X48VC7tifJ+/b1516VKokJuzSRJyx//RWee86rKadN8yXehx/uScqDDkr5QaS1a+Hbbz2UKVP+PC1a5OfXqOEf5vfeG7p29cHx9eunNEQRSQcff+yNiIcMgX79oo6m0goLfen42LGewBw//s/9XbVqsPPOnrxs185Xv7dt68eSonqLrYSliIhkg9xNWM6d6xWIG5pYLDqVNECmNGZ+lHn9U926f/05nsRjnTpKOEpSLV7sgzFGjfI5KkuX+lOwTx9vUdiyZdQRStoqLIQHHvAeAXXqwL/+5aNYN9AXX/hAp+ee87zoVlv5kIQjj/S+Y8ko4ok8Yfnoo3DWWZ4FPO00H6deiUnsFbF8Ofzwg5+++w6+/tpPs2f7z4WFvl316j58vH37P08dOqRfxZGIRCAEz+JVqeLrrbPkPWsIvm+cOPGvpyVL/txm4409edmmjc8eKj5HMtnJTCUsRUQkGyQ1YWlmPYD7garA4yGE29c7vyYwDOgALAaODyHMK+s6E5awbNsWZs0qe5vatf+eRFz/55J+V942tWtnzRs2yU6LF8NNN/kSqGnT/I15/fqeEOrVC7p102AMqYB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" ] }, "metadata": { @@ -617,295 +865,49 @@ } ], "source": [ - "# specify the parameters, for which profiles should be computed\n", - "ax = pypesto.visualize.profiles(result1_tnc, profile_indices = [0,1,2,5], \n", - " reference=ref, profile_list_id=0)\n", - "# plot profiles again, now from second optimum\n", - "ax = pypesto.visualize.profiles(result1_tnc, profile_indices = [0,1,2,5], \n", - " reference=ref, profile_list_id=1)" + "axes = pypesto.visualize.profiles(\n", + " result1_bfgs, profile_indices = [0,1,2,5,7], profile_list_ids=[0, 2], \n", + " ratio_min=0.01, colors=[(1,0,0,1), (0,0,1,1)], \n", + " legends=[\"Optimization-based profile\", \"Local profile approximation\"])" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ - "If the result needs to be examined in more detail, it can easily be exported as a pandas.DataFrame:" + "We can also plot approximate confidence intervals based on profiles:" ] }, { "cell_type": "code", - "execution_count": 14, - "metadata": { - "scrolled": false - }, + "execution_count": 17, + "metadata": {}, "outputs": [ { "data": { - "text/html": [ - "
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fvaln_fvaln_gradn_hessn_resn_srestime
01.968227e-131931930000.018201
12.202262e-131651650000.039069
21.550811e-121881880000.017980
31.553846e-121881880000.017905
43.138476e-121621620000.015469
58.042668e-122292290000.021637
68.268731e-122092090000.049976
78.310174e-121711710000.016296
81.364149e-112192190000.021103
91.382298e-111341340000.013395
103.487863e-111861860000.017843
111.211274e-101601600000.042303
121.568336e-101671670000.016380
131.557791e-091701700000.016406
142.989273e-091741740000.017172
153.045916e-081991990000.026230
163.194012e-081761760000.033760
173.986579e+001341340000.013941
183.986579e+001521520000.017177
193.986579e+001031030000.009830
\n", - "
" - ], "text/plain": [ - " fval n_fval n_grad n_hess n_res n_sres time\n", - "0 1.968227e-13 193 193 0 0 0 0.018201\n", - "1 2.202262e-13 165 165 0 0 0 0.039069\n", - "2 1.550811e-12 188 188 0 0 0 0.017980\n", - "3 1.553846e-12 188 188 0 0 0 0.017905\n", - "4 3.138476e-12 162 162 0 0 0 0.015469\n", - "5 8.042668e-12 229 229 0 0 0 0.021637\n", - "6 8.268731e-12 209 209 0 0 0 0.049976\n", - "7 8.310174e-12 171 171 0 0 0 0.016296\n", - "8 1.364149e-11 219 219 0 0 0 0.021103\n", - "9 1.382298e-11 134 134 0 0 0 0.013395\n", - "10 3.487863e-11 186 186 0 0 0 0.017843\n", - "11 1.211274e-10 160 160 0 0 0 0.042303\n", - "12 1.568336e-10 167 167 0 0 0 0.016380\n", - "13 1.557791e-09 170 170 0 0 0 0.016406\n", - "14 2.989273e-09 174 174 0 0 0 0.017172\n", - "15 3.045916e-08 199 199 0 0 0 0.026230\n", - "16 3.194012e-08 176 176 0 0 0 0.033760\n", - "17 3.986579e+00 134 134 0 0 0 0.013941\n", - "18 3.986579e+00 152 152 0 0 0 0.017177\n", - "19 3.986579e+00 103 103 0 0 0 0.009830" + "" ] }, - "execution_count": 14, + "execution_count": 17, "metadata": {}, "output_type": "execute_result" + }, + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" } ], "source": [ - "result1_tnc.optimize_result.as_dataframe(['fval', 'n_fval', 'n_grad', \n", - " 'n_hess', 'n_res', 'n_sres', 'time'])" + "pypesto.visualize.profile_cis(result1_bfgs, confidence_level=0.95, profile_list=2)" ] } ], @@ -925,9 +927,9 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.7.4" + "version": "3.8.2" } }, "nbformat": 4, - "nbformat_minor": 2 + "nbformat_minor": 4 } diff --git a/doc/example/sampler_study.ipynb b/doc/example/sampler_study.ipynb index 25b0f978b..54358600e 100644 --- a/doc/example/sampler_study.ipynb +++ b/doc/example/sampler_study.ipynb @@ -57,8 +57,25 @@ "cell_type": "code", "execution_count": 2, "metadata": {}, - "outputs": [], + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Parameters obtained from history and optimizer do not match: [-0.91620777 -9.1644571 ], [-0.9160963 -9.16577932]\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "CPU times: user 937 ms, sys: 5.21 ms, total: 943 ms\n", + "Wall time: 943 ms\n" + ] + } + ], "source": [ + "%%time\n", "result = pypesto.minimize(problem, n_starts=10)" ] }, @@ -69,17 +86,7 @@ "outputs": [ { "data": { - "text/plain": [ - "" - ] - }, - "execution_count": 3, - "metadata": {}, - "output_type": "execute_result" - }, - { - "data": { - "image/png": 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\n", 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\n", "text/plain": [ "
" ] @@ -91,7 +98,7 @@ } ], "source": [ - "pypesto.visualize.waterfall(result, size=(4,4))" + "ax = pypesto.visualize.waterfall(result, size=(4,4))" ] }, { @@ -122,9 +129,28 @@ { "cell_type": "code", "execution_count": 5, - "metadata": {}, - "outputs": [], + "metadata": { + "scrolled": false + }, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "100%|██████████| 10000/10000 [00:30<00:00, 330.85it/s]\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "CPU times: user 29.8 s, sys: 445 ms, total: 30.2 s\n", + "Wall time: 30.3 s\n" + ] + } + ], "source": [ + "%%time\n", "result = pypesto.sample(problem, n_samples=10000, sampler=sampler, result=result)" ] }, @@ -132,7 +158,7 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "When the sampling is finished, we can analyse our results. pyPESTO provides functions to analyse both the sampling process as well as the obtained sampling result. Visualizing the traces e.g. allows to detect burn-in phases, or fine-tune hyperparameters. First, the parameter trajectories can be visualized:" + "When the sampling is finished, we can analyse our results. A first thing to do is to analyze the sampling burn-in:" ] }, { @@ -143,16 +169,33 @@ { "data": { "text/plain": [ - "" + "0" ] }, "execution_count": 6, "metadata": {}, "output_type": "execute_result" - }, + } + ], + "source": [ + "pypesto.geweke_test(result)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "pyPESTO provides functions to analyse both the sampling process as well as the obtained sampling result. Visualizing the traces e.g. allows to detect burn-in phases, or fine-tune hyperparameters. First, the parameter trajectories can be visualized:" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "metadata": {}, + "outputs": [ { "data": { - "image/png": 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\n", + "image/png": 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\n", 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" ] @@ -164,7 +207,8 @@ } ], "source": [ - "pypesto.visualize.sampling_parameters_trace(result, use_problem_bounds=False)" + "pypesto.geweke_test(result)\n", + "ax = pypesto.visualize.sampling_parameters_trace(result, use_problem_bounds=False)" ] }, { @@ -176,22 +220,12 @@ }, { "cell_type": "code", - "execution_count": 7, + "execution_count": 8, "metadata": {}, "outputs": [ { "data": { - "text/plain": [ - "" - ] - }, - "execution_count": 7, - "metadata": {}, - "output_type": "execute_result" - }, - { - "data": { - "image/png": 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\n", 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\n", 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" ] @@ -201,7 +235,7 @@ } ], "source": [ - "pypesto.visualize.sampling_fval_trace(result)" + "ax = pypesto.visualize.sampling_fval_trace(result)" ] }, { @@ -213,22 +247,12 @@ }, { "cell_type": "code", - "execution_count": 8, + "execution_count": 9, "metadata": {}, "outputs": [ { "data": { - "text/plain": [ - "" - ] - }, - "execution_count": 8, - "metadata": {}, - "output_type": "execute_result" - }, - { - "data": { - "image/png": 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\n", + "image/png": 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QDEs4f6EayS5b3Fpfn9IfL7y13fAYVztqbPiArihaU4ypz/QyvU8bTxLcTusdfT4MoCBGCCGEEELIHSXR+TBfgRdny4OY/95uuJNsGPno3Wid5oLNyiPVlTiQ8RwDj9uOsfM364953Ha8OaWua+L00b2R4rTFZogxwOLf52Dym9sMr+c4Bv/+v+vOk736vBdtPckoXLbDdK31z6txPJA7ZxMAIMkhoMwfQqBGNK2c2SzcHR/CAApihBBCCCGE3FESnQ+TZVUPYb99/F4s2bBPD0Uzx2QhxWVBVJQNc7gURQXLMpj3b/1wvrwa6784Cn8gjMLcTJwqqUIwJOpdDrVApVWwtDCm/fyXHSf0dY0Y1BX+QBROG59wra3SnACAYDCM8/6wHrrCUQketx0fbT2GSSN6Gj7HrDFZSHFab84XfYNRECOEEEIIIeQ6ikYlVATrhg9r3QmvViQiobKm7jopDgusVh4cl+CMFRfbMpg3tIceXoBY8Fnw/m68PPbnsFt5yLKCqpooZFlCSUUYRe/XbRuckZsJh03AX78+gaEPdcHRUxWoCsmoCIThTrKhzB+qq2rle7Fi2gDICuCwc/j4byf09TxwdzoKl+2AL9+bcK3696UALKPq2yItAqdX4j787HtMHJ4Rq+xZOKQm2S671fJOQUGMEEIIIYSQ6yQalXCqLH74cHuP66rCWCQi4fSF+Ou0a+FCisOiBxVtC2KrNBcAYO64LFgE8yqUwLNxVa1zZQFDYCuqbYH/S28nVAQiWLXxYFzHQr19vKJgwitbAQDvvDjAELi0zognzvpNm4CkOOoabaQ4ragIRAxrmzu+L16blANJvvKzbncaCmKEEEIIIYRcJxXBaMLzW2at4xOprIldJ6NLGoY93BUcCygqUBOVIEkKWqTasPA5L6qqoyhaY6xoRUTJtAp1rrw6fl35XsN9tYBl4Tn9utrjSzbsQ97QHggEw3jg7nTIioLVMwdj/9FSfPzVMcOAZ6edx+qZg/XGH4um5iAYkgyVPY02dPr1yTlX1WTkTkdBjBBCCCGEkOuksfNbV3udjC5peDz7LmwuPolBmR3BsUBUlGGzcKgJSzh5PqBXrLT7FK0pxsICL2bkZhoC2ltTcxCKKFhZOBAcyyIUFfHca1/pYcppZRGs12JeVlTTz9G5bTJUNRmiJENWgL8WH0dOr3awWXi0amZHUX42rBYOZf74ro7uZAsEjjWEMA3LMvoA6qaCghghhBBCCCHXSWPntzSKoqIyGIGiqFAUFaoKCIKxCsRxLJ56pCs27T6J/j3bYu6qXYZQk+ywIMVlMQ1LUUlBVJT0M1fJdh7nTYLRsmkPx0IXZJz3Rw3Pz5/QL+5zDHuoE6qCouF100f3wbZvT+NX/TtDVoEZy3bCl+81rwrmexEVZSQ7b+Rv4M7BXv4lhBBCCCGEkPokScEFfw3OlwdxwV8DSVIAAKnO2Pktj9sOAHroSXXGzkQpioofSqrwzp/240xZNU6XVgEAwhEJ5RUhhMOxrYcMYm3lf+XtrG/3A+pCjdXKwp1k1e+j8bjtOF9ejeYpDpRXhnDyfADBiGIajKy8AKuFhU0QUBEIY+ozvbBu3hB9u6Iv34vVLw/Sr/tLbyfTQc6DMjsCUFETljDr2Sz9fFh92pZH/ie+3fBqUEWMEEIIIYQQE5KkwB8IQ5JV8Fxs6xzPs5AkBSdLquIqTB1bJsNi4dHe4zLMyEp1WqCqQJm/BrKswGkTMG5YD5wtDSDZZYtroNE81Yrp78QeWzFtgGmoCdZISHLwcVsQtYYaU/+lF6Yt3aFXtxIFo5qIipqwiOUfHYCvINt0S+Ef5w3BwRN+SLL5dkWOYxAIivo6Vs8cbF4VZNkmt/2wMRTECCGEEEJIk6ZtFazfKEJR1IRhyx8Im1aYFhZ40cLtgMXCGxpzJOqAmHDYcb63XvdB6KFm1JB78PCD7aCqKjiWhaSocNgETByeAZuFR6BGxIeffQ9/IKyfSSvzh8CxCbZLsizKK0N4Y903mDLyAQAMnDYevnwv7FYWf9l5Ul9P0ZpiLHtpgOl1BI7Fy/W+j/1HS007JSY7LOB52pCnoSBGCCGEEEKaLG2r4Pz3dtcNDX42Cy67kDBsJaoMSYp5Q46oJCHZYcH8Cf3AsSxOnPXDt6ZYr1QN6tNO74woKwDH1b1X60b4/T8v4r5OaZi5fKch3LRw25CaZDOEHl9BNlQVWFk4EAzDgONgGozAxNY7ZeQDsNssKHzHWJl7LLsjAEBWVLw7YxCC4Simj87EwrUNrgPj9/H2nw7g+aczas+o1VUFf8wstZ8y+jYIIYQQQkiTVRmM6CEMiAWq+e/tTridT6rdbmhWGTI7/xSJSCg12e43bmh3cCyLYQ91Mm3GMahPO2zecxqnS6vBssDP729tWj1bMDEbf9lxAnPG9QXPMXDYeFyoiL9fK7etdrukondNLHxnJ+aN7wdBYPUQVv/avnwvHn6wHViGgd3KYlzRNgzq0w7zJ/QDwIBlgb/sOIF770qL+z42bD6GPt1bwZNgK2KiYdVNCdUGCSGEEEJIkyVK5o0ltO6H9Xncdkiygj9+fhjTR/eJa8hhdv5JmwfWMOR0auOG3cril95Ops04nnqkK+5p78bvfnkvit7fk7ABhqqq2LznNPJf3Yrz5dWIiOaNOYIRBYCKqpooTpVWIRAUMXF4BqKynLjlvqJAVVU4rCxqIjI8bjs27zkNhmEwa8VOfLn3NH7l7YzObZMxo0GDkhljMpHitJp+59pWzcJ3dmC8bwsK39mB0xeqEYlIV/Ir+8loWrGTEEIIIYSQegTe/PyUzcKabuez2zgMe7grDp8sr61CsYZGHg0lDjkqjp2uQKs0l+nzPMfgxd8+iBnLYlsRGca8CsexLP44bwhUAKX+cKOhimNZ/GnzUQzs0wE2CyBKKtb99XuMfzIj4bXBABFJhUXg9O9DVWNbEdd9fgQP3usBw7BY/8Vh5A3tgRSXBe4kK9wuW8KBzJEGWzX3Hy2tG3rdhKpiTeeTEkIIIYQQ0kCK04pZz2aZnBGzwmG16GfCtG14H//thD4/689fHsMzQ7qhhduBaFRCMBitG4rMsUi2WxqdK1ZeEUJbT3LCECQrCmbn9QXPAyzD6MGlMhjGwrV7UZibCauVRYk/jGSHRd+q2Nj1xj+Zgb9/dw5Faw7B47bj9Sn9ITCMaei0WllABXgGcDptSLLHvg9VrWsg8vu3tuPNKf0x/skM/TxYst0Cm808ZkSjkmlnxhGDul710Os7HaOqapP5xGfOnMHAgQOxZcsWtG3b9lYvhzQBT/xh461eAj55Y+htsw5CSDz620TIrdewa6Jd4FEVqju/5LSwmLRoGxZPzUGNFrRYFk4ri6gCOK08wmJ8wHh1khcWjjU9I+Zx2xCOKIhIIsIRRd+eqD3/jxPlaOF24r5OblwweX8rtw1bvjmjnx2bP6Efxvu2YNSQe9D7vpZxr3enWJA7Z5P+c7rbBhXQ1zxl5ANIb+bSQ6TTwiIkKhBr56O5XTY9XImijB9KA6ZrCkYV/XszC2Rl/hrDeTQgFup8+V6AATxux037vd9qVBEjhBBCCCFNRjQqoSJYF7K0bn7a+a5wWMKZ8vhW80um5uB8gkB0sSoMjmWx7dvThrNZsgRURyWU+4O1HQRjAe5MWRWmLvobPG47pj7TC98dL8fsvL7gWEDgOfz9u3Po0CoFSzbsgy/fG3fma/0XhzH+yQz0ua8lVKh4fXJ/iKKKlYUDwbEsbFYWCyZm623u//7dOfz8/tb6+31rivHmlBxEonXnyWYs3wUgFopefb4/SirCKHq/7rPOGJOJdi1cqAxGIckqUpwWvD45B+GIDI5lYLWykAFAK/GoQFSWgDAMYayxrZPNmtiMMWrWQQghhBBCmoRoVMKpMmOTiFNl1YhG65pEVIXMm2sEI4mbYIz3bUHhsh3o37MtBvVpp19LVhRYBA48z6HMXwNRUrHyvw5g9ru79Wss+uO36NAqBQWvbcWEV7ZClGS0cDuxZMM+PaDUDy73tHfjif6dUbgs9hlmLNuJi5URrPyvA/o6yvxhCBYGwbCEE2f9eHfjIciKol9jcGZ7XKgIJ2wAIsmKHsK0x4reL8bFqjCmv7MD432bMf2dHbhYGYbdyqFw2Q7wiFXXtHVp65BlYwOORE1QOI6lromEEEIIIYT8FFUEzUNWRTCqv6axik2ix7X/Xrh2D4Y93FV/3mblURGIYPlHB1C4bCfmrtqFJ/p3xj3t3YZrpLgsAGpb4PMsUlwW/V7aMGbN8AFd9ZBW/zMM7NPB8LMsAeX+IBas2VvXeKPWww+2g29Ncdy1tTUoCkw/KwBkdEkz3Ccqxr6XxoJqfalOS+3WTGPHyVSnBU1N04qdhBBCCCGkyam/HdGX78X+o6V4+08HANSGqXpNIhI310jweL2Ao3U7BICs7ukIRyQUNQgnSzbsQ97QHihaU6xfIy3FbthW6E6ywuO2I6NLGuxWY/fG+iGt/n3bepxYPXOwvv3RKrB6CCvMzUREEvX7qaqKjC5pEATzJh2J5qSdvVCNx7PvAgBs3nNa7/7ocdsbCarGdhQWC4/2HlftTLOmPey56X1iQgghhBDSZGjbERuGjQ/mPApRVGubUzAIhyXYbDyS7RbTcOJM0M7eYa0LYlo3xDUvD4YsA+GoZBpO6lfAZo7JBJjYWS6rhcU/TlxEp3apmD+xH6prRExZtA1LpuYYzpiZDpPmWKz8rwPYfahUX9t/zh2CSFSB08oiGFWwsnAgGIYBwwBPPdIVLyzejnFDuxuubbeyKKsIY9KInnrlzeO2Y9KInvjws+/hD4QxO68vNu85HQt1UDF9dJ9Gu0M2ZLHw8DTB4NUQfQOEEEIIIeQnK9F2RF++t/YcU12oapvmgs3Go22aVrFR9Hbxizbsx8SnMjB/QjZYlgHPMbDxDCYt2gYgFjq0BhhRMfY+h403DSdpKXYsnzYA/qoIeJ6FVeBwsTIEWRHQqY0bhUt3YO74vli4dg/enGJsEpLVPR0zcjP1SpsWklb/93cY2KcDdh8qNXzGlf91AGN/fT8YhoHAs1jx5wPIvC8dP7vbg6nP9EKgRsSrH+7FkVN+AMDKwoFIslvwx88PY96/9YO/KoxAjYgPP/tefw3H1m0p/NPmowCAZ5+4zzSoJtub3pbDK0VBjBBCCCGE/CSJogyowPwJ/cAwDL765jTWfX5EP9vlTrKhzB+qCy4FXthsvKGKo6gq/nm2Ek/074yXltYFt1nPZoFNsmJ2Xl+4nDw4hsGFCmNXxdnjfo4X/7U3XvvPvYbQBAYIBCOoDonY84/z+JW3M+xWATzHgmVjYZFB7P/W72wIALsPleKZId2QN7QHkhyCISQ9+VAXfd3aZ3yif2fMWvG1fv+ZYzIh8Kw+KLphtUuUVKz+7ABGPtoN58ursfyjA3FBUuA5zM7rC1GWcOB/ylHmD2HzntN4c0r/2upa/DwxSVLgD4QhyWqjA7CbEgpihBBCCCHkthYOS4a5Xo0NDAZi2xFDUSkuGBXmZgIANhWfAsey+O3j9+ohRjsrZraVcf6EfnqYAWIhZ/57u7GwwAuGVXCpMoIUlwUVgTDmT+gLjuUgKwoYhkFKC4shNH2y/TjGP5kBQeDRvZMLaam2uMrcsIc6QVaQ+OzVpRBWbTwYF5ACNaLhZ6edRyvWqQ+C3n+0FAveL8bE4Rlx59YWTc1BuHZG2vgnMwBORbMka1z1rTA3EzzPYP93pejVLd0wDHvh2r2Y9WwWOrRMBsvWhVlJUnCypCrud9GxZXKTDmMUxMhPSlSUYRG4W70MQgghhFwn4bCEssoalF2qgc3CIxyV4GnmgAcO0zCmBSmXXTDdkrhgYjZ639cS+4+WYsPmY3rjDI/bDovAoqI6fiujPxAxPeslygoEjsfaLw7imUe74dyFaqQm2eBbs8sQOC74gyhac0j/ef/RUhT/oxTjn8yAKCnIG9oDH209BgCoCITxWL+7YBFiZ9LMzoRt2fODaUBa/8VhANCHSTccMF2Ym4kRg7rC1uB81n9M6Gv62lZuG/727WnMn9APACDJKv785TEc+J/yWOfDVDt4nsPrk3P0YdgpTqshhAGAP2iqVicAACAASURBVBA2/V0sLPCiRRMa4NwQBTHyk2IRODzxh423ehkAgE/eGHqrl0AIIYTc8YIRUW8Br4WEySN7wmkTTIOYdiZs/oR+puFJVYETZ/x618Qkh6AHD1FWoCpq3Psqq6PmDTJYFk4ri4F9OqCoNuTNXL7T9Dxan/ta6lWpS1URjHuyR2xmWKodHTxOdG7Tu7ZxCIsTZ2Kzv/49LwtOa3yTkJGPdkMLtw1F+dmIigouVobgcdsw/skMjP117HyaLCHh2bhTpVWGz8eznB4eDa8t8CKnVzswDGP4XAD05z1uhz4Muz5FUVEZjECUFKgq9G2g9X8XUoOOik1N060FEkIIIYSQ254kK1i83jg3a/H6fZBk83/Ea3PAGIYxnZHFMNBDmMdtRwu3Hb58Lxw2LtZO3WS2llaBajj7qjoUwXl/GPd0SMXsvL5Q1fgQp7VwrwiEMXbBJnx/0o/e97XEjGU7MeGVrThdWoXz9Qchv7MDaW4nxg3tjgNHLyAYUeC08fDle/HBnEfhy/eiRaoNUxdtg8vKwSpwSG/mQDiqwGph4Q9EIAhso3PPWrjths+S8LWyinYtXIk/V4LfgaKo+KGkCi8s3oax8zdhxrId+N0v7zXMT4sF2fiOik3JbVERC4VCKCwsxKFDh8BxHKZNm4ZHHnkk7nWbN2/GsmXLEI1Goaoqhg8fjmefffYWrJgQQgghhNxoiqICYPTufh9tPaaf51JU8xCgtVH/6pvTpl38ig+dBxALAjNyM/Hah98AAH77+L1YsmEfBme2N61AnS0LGM56rf/iMMY/mYFPdxxHTq92+rZHrXJ2T3s3hg/oihSXBRzLwOmw4NXnsuG0WzF3VV31qa0nWT8jBtRVo96ckoM0dzju/FizFCuqgiKWTDV2U9Se7+BxoiokJWxzz3EsLpZXG1rWWy2JW89brTy4mitvTQ8AlcGIfm5M+0yL1+/DxOEZmLtqt75Ws0paU3JbBLHVq1fD5XJh06ZNOHnyJEaNGoUvvvgCTqfT8LoWLVpg+fLlSE9PRyAQwFNPPYWMjAz07t37Fq2cEEIIIYTcCFpVRfsHfcPufpYETR5SnXVzwACgKD8biqKCYRgcOFaG1i1cWDFtAASBA6Bi5KN3g+dYLNmwD1NGPoD0Zi4IAqMHFYZhYLWwmLrobwCA55/OwAN3p6Njq/sBAMMe6YoXFm9DmT+kh7/1XxzGE/07G+ZwTR7ZE21auBAVZUOgSVSNatgtsf4Ztznv7oIv35tw6yHHsjh88qL53DMLi2RXfIMQ33PZKFy60/CY1nre7bKaXsvtspr+DkTJ/DO18SRh5YxB4FnqmgjcJkHsr3/9KxYuXAgA6NixI+6//35s27YNjz32mOF1P/vZz/T/TkpKQufOnXH27FnTIFZVVYWqKuP+15KSkhuwekIIIeTK0N8mQq6cWVVlyYZ9eGtqDkIRpTbQ1MR1ULRYeLT3aHPAVFgEDtU1IlhGRbeOafj4q1iziRlj+kDgeLRq7oTDLtRViHgGUVGBosS2Kf79u3P4+f2t4XHb4SvIRlVQjAsxIwZ1xdt/OoB1nx8BAIx/MiOuyrV4/T4U5WdDklVDdSlR5SpRQNO2CSbeeqiCZYHundPAcjBUvkJREdVh2TzAFXj176xh63lB4NAhPcnwvNtlrQ2z8QTe/DPZLFyTr4LVd1sEsXPnzqFNmzb6z61atbrsH6bjx49j//79mDt3runza9euxdKlS6/rOgkhhJBrQX+bCLlyZlWV6aN7o9RkO542iFljsfBI4zlUhyJx3QCnj+6Dezu6oaoMmiUJqIkoCEdiW/mS7bzpdj+nlcWbU3MQiZhXqXz5Xv3e6z4/goyuLUxDElTA5RAM1aUzZVWxezg4cOD00OS0mocZhmHwvwsHgGNZrCwcCI5lISky/s23NbZdkGVQuGwHJo/sidQkK5q7LAhGYmftGLCNnvdqlWbcjVafIHDwXGGHwxSn1dDWXpu7luI0r6A1VTcliA0bNgznzp0zfe7rr7++6uuVlZUhPz8fs2fPRnp6uulrRo8ejWHDhhkeKykpwahRo676foQQQsj1QH+bCDGq31mvYetzs6pKitNmep5KG8SsXTNQE0F5ZRgWnosLTgvX7ok157CyKDEJXS3dNvOgxSTeRigrir5Wj9sOd5I14ZmqFxZvQ0aXNMwZ1xc8x4DnWDgsbG0ANLa9Xzw1B5MXbTM85rJxKPGLca9dOXMAgjUyOK6uAjdjTJ+4YOnL917Vea8fg2UZdGiZfNm29k3dTQliH3/8caPPt27dGmfPnkWzZs0AAOfPn0dWVpbpay9evIgxY8YgLy8vbutifcnJyUhOTv7xiyaEEEKuM/rbREgdszNg9YcBpzjjhwk31t2v/jUvVoaw/KMDmDe+b8LgVBNJ3N7d7PVA4m2EHMdidl5fCDwDUVLxt2/PYProPli4do/hjFhNRMKUkQ9gxvJd2LzntB6Mgo1U2mJbC1VwLANRkVHTyGvdSRxy523SH3fZLZixzNhO/+/fnbuq814/Flt7DowkdltsTfzFL36BDRs2oEePHjh58iQOHjyIN954I+51fr8fY8aMwahRo/D000/fgpUSQgghhJDrwewM2Pz3duP1yTlwJ9nAsgxauG1X3N2v/jWnPtOrNkDB/PVs4+3dAWDUkHvw8IPtoKqqfu//d/SCaYgReBaF7+yAL98LhZXRL6MNnHYeE4dnwGbhEagR8cFfYk1G6ge9+vdLdN7LYedQVS2iKiji1Q/3JpyPJisKxi7YYvicsslMtHc3Hoq1wb/C817kxrktgtjYsWMxffp0DB48GCzLYt68eXC5XACAxYsXw+Px4JlnnsHKlStx8uRJbNiwARs2bAAA/O53v8Pw4cNv5fIJIYQQQshVStRZT5RiwSQcluLOd12uux8AzM7rC55nsGLaQIBV44LT9NF9sP9oKR64Oz1hSBs3tDvu65SmDzHW7tOtUzMcPnHJEA6dVhYbthxDYW4mDp+8iNfWfQuP2475E/ph7qrdcZ9bC17176f9d/xaGPzHqmLkPXk/XHYBZf5Q4qpcvce1Chyf4LWSpCY879Vwu6jDwqOyJgpZjg2bTnVaYLHcFhHijndbfIsOhwNLliwxfW7y5Mn6f0+bNg3Tpk27WcsihBBCCCE/QmNnvzSJOusJtS3Nq0LRxN39GgQhf3UYNpHHxcr44NYita6qJisqPtp6DJv3nMb6eUNMq1tOK4uf39/a/CxavhfdOjbX732xsgZOjwu/8naGrCjo1rE51s8bgpEvf45kO4/VMwfrrxUEBi8s3g6OZTEztzc6tXHHQhkDOCys6VrAqPAHwghHJCTZLbEQpcgJ1+0r8EJVVIBhwHMMZChxWyQbm9/VcLvoi6N6obUnKe5e7T0uCmPXAX2DhBBCCCHkurnc2S+NWWe9N6bkICoqOF9erVemFqzZq78ndh5MwXjfFjz/dAZ6dG2BS9UyWAYQRfOzU7Pz+mLuql2xUOa24Zkh3fC/Bt0NGUCrBlsfnVYWOw+eR48u5l0PZSV2b836eUNMuywmenzJ1BwAQJrbaWiB//qU/mjZYC0OK4ujpysw9ZleEAQW73/6HSaN6Il/X7EL/zGhb9y6RRWQZQXNk22wWHicL6/GeN8WDOrTDrPz+oJjAVkBnHY+4fyuhttFu3VsnrA5ioeC2DWjb5AQclNERRmW22D/+e2yDkII+am63NkvDcsyaN3cWXtWSUnYOn5mbm89jNXfyteneyuUV4T0as+KaQNQ5g8Zqk0cy8JqZVHmD+EfJ8pxX6c0/fqrZw42hAzt+r58LxRVNa3WMYyxqtdok40Ejwdqolj/xWHDc2JUxQvLtpuupeRSEK9+sBdl/hAqAlHkDe2BikAULrsFSzbsw5FTfqyaMQgMw6B5sg08z8EfCANgMDsvC+u/OIqC17bWXbPA2IykvobbRS/XHIVcGwpihJCbwiJweOIPG2/1MvDJG0Nv9RIIIeQnQ5IU+ANhSLIKnot1ybvc2S9NNCqhtKIGZZdqkJpkA8eycQFFCy+GLX6WWBgSRUUPYUCs2jN3XBaSXba4gcvr5g1BOKIYgldjzTr2/KPEdPsfy8FwDquxayR6vGhNMfKG9sDuQ6X6c40NZ26RWhcIj5zyo2hNMQDAl5+NI6f88LjtOHGuCqs2HsSbU3JwqTxoqDJOHtlTbxQye9zPwbMMyvw1pltGG24XTdwlktrQXw8UxAghhBBCyFWTJAUnS6riwkqzZJvpP95jg4RrkGy3wGbjEQiJqAhEsPyjA/r7J43oiYpAFEdO+QHUhZdZK7423OP/zBuC6pBkuMfHXx3DM492S3i2q2HYSWpwhqv0UjXeWr8fHBc7IyYIrP4+hmHw1TenMTirg6ET4pU0zmj4eJk/hBRXXXMRoJHAwzI4Vx6snU1mw/ABXZHkEBCOSuBrQ9OkET3x4Wffo8wfQiSqxFUjF6/fh6J8L3iOQVV1FC++vT3hltGG20UPn7xoGkhTncb1kx+HghghhBBCCLlq/kDYdPvda8/3jzv7NXlkT7z24Tf4lyF3o216MvzV4Vh1i2MMZ50uVtZg+ICuetWnfngBgIwuabAKHKpDEjiWxbCHOuG+u5qhUxs3wKiQ5cSVKIZh9LBTNLGv6TDnJVNzEIwqsSYaIrD/aCne/tMB/VrNkq3o1Natv6+xhh+mbe4FJm7gs8dth2BhTF9/4qwfyS4rpo3ujXBExuL1+/TnZ+Rm6tUurTJm1q4+9rMKlmUx//3Gt4yaDWJ2WHhDq3vqmnj90LdICCGEEEIuq2EnRBXms68ikoJ2niQsmJgNVQXOXgjgg798j98M6BzbNvhOrGL1wdxHIQh83DbCe++KjTB6cVQvvUPh6pmDUXqpGjargDnv7tJf73suG1XVIgqX7UDe0B7o3CYlYSVq695TethJb+ZKWDlruJ7nn87Qw9iGzccwr16jjGBEMW34MWnRNrw+ub/hca1r4swxmXDZecNzR/55CRaBMwxvtllZJDkEMAyDcxeq8fb/3W9Yb9GaYkwcnqGHsEkjeoLjGNPPrygqoqJ8RVtGzQYxe6y8/vuvCEYhRCTTTpjk6lAQI4QQQgghjTLrhDhjTCayuqcbzjp53HbwLINAKIrPdp7AY/3u0mdpdWrjNoQfMaombGixbt4QlPnDcaEovWHoEVjAwWDc0O5wOQScOOtPWFla9/kROGy86TZF7f71H6+/Hu2zTRrRE4vW7dO3TgLAysJBAGJDn//+3Tls23cOk0f2xAuLY1sAs7qnY+yv74cSZfDKc16s+PMBTBz+M5RcChoqXJNHxoKUzcpiyYb92H2oVJ975rAJputt3cKFFdMGQFZi1bu2Hhdm5GaiqN7nnzSiJ1b/93cYPyyj0XEBV/v7N+uESa4OBTFCCCGEENIos06IRe8XY/6EfvjnuSr9H+fTR/fRq2X9e7bVzz4NzmwfF34aC0PhCBKGtIbhzJ1iQZrbCQvPYtEfv8W4od0NYQ2ciqmL9sLjtqNj6xSERQk2gU9YOYtfj4pXnvMiLcWOlf91AEdO+TFqyD14+MF2UNVY9Wrr3tPYVByruPXv2QYAg6L8bCiKCo5j8en24/j4byf06z7erxJd2qUa1mmzsuAALKoNYdr9F67dg6L8bNP1nrtQjbmrdiOrezpGPtoNL729He4kGyYOz0DL5k6UV4Tw4WexrYvjhyFuy+isZ7OQ4rT+qN+/WSdMcnUoiBFCCCGEkEYl6oQYikjw5XshSjJkJdYw438Nvgccy2Dh2j2YMvIBFOZmwmUXwDLGbXONNbRoLKS5k2zIG9oDSQ4BFYEw3ElW+NYU462pOXqwAYBjp/xolmIHywIrZwwCyzAQeAYcx4AHTCtnFytrDPfUGmZYBA6HT17EyEe7IaNLGu7rlIaZy3ca3gvEwuMrz3txqTKMVz7YY6hKtfW4kNHVA1VV4bLzKDU5o5buthkqjNrnZlkGM8dkYsH7da/XzocBwMA+HfRrlflDmLtqNzxuO/KG9tC3LgKIO/91pdsLr7QTJrk6FMQIIYQQQohOFGX4qyOQZQUcx8Ltssa1NQdiIaX0UgjWdA4TXqmbU/UvQ7pBkmNNI9b+5TDm5GWiJhJrgOHL9+LwyYt4bd23uFhZkzAMtfe4DB0NbVYWUxdtg0Xg8NvH78WSDcamFeOGdjcNNuX+IBas2YuVhQPBMAzCUQkRUYEkKZAk2Vg5Y1RUBY3t6bXGG2AscLZ3g+NYPNSrLX7/1ra4at2CidlolmyFIkMPYdrzn2w/jvynfwZRVKCoQKiR+WMNOyRqRboUlxULC7zQJni9+sFefYtkksN862KSQzB0OjQ7/3UlEv3+r2RbI0mMghghhBBCCAEQC2E/lAbiAk17jwszxmSi6H3j2aNPth/H6F92B4C6rYJJNvgDYQx7qBOGD+xq2p3wP+cOQSSqwGllDWHIamXBA6aDnZdMzUF5VVQPYUBd04r6Wxa1x+sHG45lMXbBJszIzURbjwvz19Zts6s/2Pn5pzMM66kMhk3XMjizPdZ9fkT/3sr8Iaiqik5t3SivDBkCyz3t3Rj12L24WBHW556tLByYsOL30u96IxKNdUh0J9nwu1/ei+lL67Zjzno2C82SrbVDm2MCNaJpUGrhdsBX4L3mTocN29pfzbZGkhgFMUIIIYSQJi4cllAVigJq/Nms9V8cxvhhGUh1WVGUn43K6iguVobxyfbjGPloNyQ5BKycMQh8bbWF51mkuqx4+MF2iDRS+XFaWT3kuJNsGPno3WiV5oLAsebvKfCC59mEASbR44W5meAE4N0Zg6CqKpIbdCys32r+7T8d0MNWK7cNimrVtyA2XMuA3u31axw+eREcG1t33tAehlA0fEBX8CxrCH+NbcsMhSW9Q2Le0B56Qw/t/vPf243XJuUYgtGWPT/EVRdnPZuFFqn269JMw6ytPXVNvHbXFMRkWcby5cvx3HPPXa/1EEIIIYSQG0SSFPgDYUiyCp6LBSdJUnCmvBq+NbHmGw2rOU/076y3nNe6JXZum4LObTJgEVi47BakJhm3qFWHRSx4P/56QF1ACtY25HAn2QzbDRNWi2QFlgRb5DgucbBp5bbpge/1yf1NK1wNW9ALFgbBiFI7hNp8LefLqxERVaS4LOja3g2nNRYSP9p6DJNG9NQ/T4rLApYxtvovvVRtui3TbmXBc3VhM9GWQ0lW4oJRkt1yQ4PSj93WSBK7po2dsizjnXfeuV5rIYQQQgghN4gkKThZUoXp7+zAeN9mTH9nB06WVKEqFNUDgTb0WDN8QNf4rYDvF+NUSRXGLtiEPyzehpMlVZDqNW2IRiVEorGZVVrlp75l0x42NORoeA+z92ih6kJF7FyZ9rx2RkxW5bjHtfNdwdqqXEaXNIiiecv8YETBpzuOY7xvCwqX7cDFigjAqHHfh3ZthmHQ1pOMVRsPYtrSHZi14muU+MPI6p6OI6f8+PCz75E3tIfebVFRYbjOjOW7IIqxRicrCwfCl+9FKBxFdUhCOCrpr9W2HDa8v8CzejDyuB16JbL+z1Stuv1dtiJWWFiY8DlZlq/rYgghhBBCyI3hD4RNQ0j9qtVX35w2VGpSXBbTikxqbWVEu8bCAi9auB2xLY7hCFRVhcdtx/6jpfA9lw1FRm2rdxZgVXy67Th+5e0Mj9uuV30G9WmHYQ93NWwVrF8tsllZKAqw/ovD+rBoQEVUksGBw7myirh28FUhCRzL4uW8LERFpdEtjI/164QhP+8IRQVcDgEvLN6GwZntTdfy1Ten8VCvtnFn1bR2/kdO+bFq40EU5mbCYWVRExUxfXQf/YyYx20Hz/P44xeHsXnPaQCxgOXL96KNJwl/GPUg3lj3DT7aegyTR/Y0zBubMSYTTiudLvopuOxv8dNPP8VvfvMbpKSkxD2nKNSykhBCCCHkTqB1MqyvftWqzB/SG1BoQYdjGdMtfy67YLiGpKixEFYThaICq//7O0wa0RM/nK9EVbUYF2SGPtQFldVhFOZmoqK2sUf/nm0xd9Wu2Lm0eUPiQtXURduQN7QHdh8qxdhf3w+XncelQATnLtSgY6skCAKPVz/ci9G/7Aa7zYLCZcZ7SpIMjrUm3MJ4/mJQP/fWjBX0+ztsfO33EauQffVNbGbYgN7t475LMIz+PovAQVVVBEISBJZDcqpFf45hGKhQceB/yvU1FOZmovRSNew2C/785THkDe2BFJcFaak2vPKcF2X+ECqro/jj54cx8tFu6JCeBEHgrvv/TsjNc9kgdvfdd8Pr9WLgwIFxz0UiEaxcufKGLIwQQgghhFw/PGceqrQK1LmyALp1bA5ZUWIztywMREkxnHfSuiXyPIMZuZlIcggIRyVYeRayLAEMoCoqxj+ZAYeVRas0p36+DDA265j85ja8OaU/7mqdgnbpSZixrK4pxuxVxfjdL+81VIImjeiJDz/7Xj8TtnjDfjzRvzNWbTxoeE16M2fCDoqCwJhWuASBwZIN++DL98JhZXHuUg0YJtZ8Y8SgrujU1h33nsMnLxq+X4/bjpPnqlC0phj3tHfHtdnXukw+0b8zPtl+HP/6+L16wOM4FlaBxe/fKsaUkQ9g/JMZemD7+8HzuK9TGg4cu6AH5X+eq4KvwAuP23Ez/qdDbpDLBrGnnnoKqqqaPsfzPDXqIIQQQgi5A7iTbHEh5NVJXkQVINkZm5MVEWX8+ctjOPA/5bVnrmz4ZPtxfYByoEbEN9+XwGVvZwhAS6bmmDbBcNr4hFsBPW47fv/WdgDAiunGBh1HTvnxwV++R1G+F7Ks4Fx5NT787Hv4A+Ha4ckqxv76fsxa8bX+viVTcxCsN6/MaWUx8uXPDfccO2cLPpjzqF6ZSrbzCEYVhCOy/p5gREHrZg4EowrmT+ind1b0FcTWov3MwDhzrP6AZbOzdUs27EPe0B5YsmEf5k/ohzfWfasPW359cg7sFl4ffl0/SKL2PgsmZutBLNYwxPzf5+TOcdkgNmrUKADAZ599hscff9zwHMdxtD2REEIIIeQOwPMsOrZMxsICLyRFRZKNQ01EQVSRIMmqHsCmj+4DAHqb9hGD7zGcbZo/oZ8hAJX5Q3pDjIZVqLem5hgGM58468e7Gw+BZRnDmSlFUeOqdf5AGJGojM3FJ/Erb2dM/Zde4FgGAs9A4FkEQ7L++vXzhpgGwfXzhmDky58bOiv+bs4XmJ2XhbvaJifsoBiMKDhTVoXZ7+42PC6pLCqqIwAEJDlj2xdFSYZF4FATEfXZXonO1mnn4RRV1UOYNo+LZRm097hwsSps+t76hZHY56FmHHe6Kz7p98Ybb8DpdOKhhx4yPLZ9+3ZMmjTphiyOEEIIIYRcH6IooyYiQlUBC8/EDVrWAtjCtXswO68vNu85DVlWsX3fGX0LnSSrCIYllPlDWD1rEKAykBXzJhjjhnZHqUnQeX1Kf7BgwHNWvTJls/IoHJ0J31rja8srgsjp1Q77j5Yivbkrtn2wIBt+fxgVgbAe3hIFQW2gc2FuJhwWFnPG9QXLAA6HADGa+D2Fy3agMDcTM3N7Y8GavfrjiqpClFQcOVmKt/90ACsLB+Hllbvgey4bFoHTr5+onb7WBdHCc1g9a3Bcm3mLhU/4XoZh9P8uzM2E20XDlO90V9y+fuXKlZgzZw727t0LAPD5fNi5cyfWrl17wxZHCCGEEEKunSjK8AfDuFARRuGyHQiG5LgQsnDtHgx7uCvK/CHwPINXnvOCYxkMyuqAJBsHjmXBcwySHRasfnkQqoIiCpftwHjfFtOW853auE2Djiiq+P1b25A7bxMKl+1AdUjEx18eg9PBw1fgxYrpAzE7ry+2fXsayS4bRFFCktNWt9VPZeBbU4z1XxzFpBE94XHbG+2GqLWGD4Qk5L+6FRNe2YpIRG70PdpaO7VxGx5X1Vj7+wfuTterUgsmZsPKc7BZOL2tPMcxePFfexva6U8a0RNb9vyAWc9moXmKPWGbebfLatqK327lsLJwEHwFXmrU8RNxxRWxzp07Y+nSpcjPz0evXr1w/vx5fPDBB3C5XDdyfYQQQggh5AqYDWvm+dj/z91fHYGiQA9GHAvTEMKxsX/4y7KKaUt3wOO2Y+aYTFysjmLuu39HmT+ErO7pGP9khiFk1W+CMX10b6Q4bYmDjqzUVsJUcLWh5VfeznBaWUxatE1/zz3t3cjo2gJtWiQhLdWBhc95IUl11bcyfwgOG6dX1VbPHIzSS9WYsXwXgLpuiGMXbNJbw2u0VvqJOijqa609glP/8YwuaZAVBYW5mfh0+3Hk9GoHp41DJKpi5vKdhvVPHJ6Btp6kWDhjGRQ8/cBlBy0LAocO6Um1Z9JUcBwDt8sKQeCQQv/s/klpNIjt2rUr7rHf/OY32LBhA+bMmYODBw8CAPr27XtjVkcIIYQQQi5LG9bccBtg2zQXqkJRvcnE4Mz2WPf5EcgKTENIqlMwBBu7lcWURdvwh1G9DA07wBhb4R8+WYG7O6boTTsKl+3QtwWaBZ3CZTswc0wm7DYBhW/vwKLaRhvzxveFrAA8D4TCMorqfZ4X/vVBrN54CC/9NlZpmjLyATAMqze20D5z0cS+eGv9fn2gs7410Vq3EYxhGEQk0bSDYigqGtZafzj0lm/O4PHsu2Cz8rAIrB4gD5zwg4FiuJ4/EEZqkg0HjpVhw+ZjmPVsFjq0TL6iQcuCwFFHxCag0SA2c+ZM08ctFguKiooAxP6HvGXLluu/MkIIIYQQckXMhjX/40RsRlXDoPHzjFZAvdDwcl4W7BZB7xioNdbQfvYVZCMQFLFq47d1Q4VzM5HVPR27D5UCAJIcAnLnbMLqmYP1+5046zcNOhwHFOV74bKyqAxJyOiShrJ6Z8lefS4bqUk2PYRpn+f1//wG8yf0Axjo3QwTtan3FXjhtMQGOmvdEM9dCunBsPhQrCW8OZWPWwAAIABJREFU1cLoLetr6n32xb/PgaIysFlZ/f2f7DyJdZ8fiVXXCrywWlgs/2g/BvbpoAfUqupwXSWLZbD/aOwsGQDMf283Xp+cA3ftMGxCGg1iW7duvVnrIIQQQgghP5LZsObM7q0MW+W0oLJgYjbGFW3GsIc66RUslxOmHQTdKRYcPVmlt6rXrlO0phjzJ/TDP89VocwfQjgqxZ3VWrBmL2bm9jYMZj5x1g/fmmLMGdcX52uiaOW24ZlHuxkCVfMUB8orQ6bbGgFGn0u2snCg6WtkRcF435a6GWE8g7ELvsKgPu0wO68vBJ4FxzI4cdaPjq1T4bCycY1LtC6J1REZr334DY6c8hvvIauwCzxGPtot7n3Nkmy4FAhj7PxNcWsTJeo2TupccbMOQgghhBByexBFGWX+Gpwvr0aZv0Yf1lyfqsaHs/pt0D/+2wkEazsHyiJMG2vIIvSW6w2vAyZWTVpZOAh3tU7BzDGZcU07FqzZi8JlO/SzWu9uPITpo/vgz18ew7ZvT+O8PwxJNp4lkxUFldXRuM/jcdvB1jvbZtYgpOEZL9+aYtgtAgBg857TmLtqF7jarYHvbjyEcUWbUZOg42IwEgtNWkv6+veQZAUXq+KrkL41xQiEohB487UJPP3Tm9S54mYdhBBCCCHk5lMUFZXBCERJgcCzcFp5nCqrxrmyAHp0bQFRUiDVNsAQBBZHTl7EuxsPNdqMwpefjRbN7JBrQ1BjHQS1lusNr6MoKs6WB3BX6xTkzvsCg/q0Q94T95luR3RaWayYNgCyAnz81TFs3nMa77w4AMFQBLzDgpWFA8GxLPYfLQXHstiy5wdMGtETSQ4eLrtVr6jVP+dVeqna9F4OK4uiiX0xY/kuQ8ONF0f1QreOzfVrvTrJi5eW7Gjks6v469cnDPPOtDb/f/7yGAZndTB9nygpSEuJzQeb/95u/X3avDBCNBTECCGEEEJuU4qi4oeSKsM/6H35XpwrC6BrBzcuVsbPAuvQOgVvTsnB8TMVpkHl79+dw7sbD2H1zMHgWMbQlMIstH209Rgmjeipt4/3uO2YNro3Lvhr4LAJECUFr03qD0VREQjL+rkrrSuidtbs5ZW7DNdPdgmISnJcsw1wKkY+2g1WC4NIVI17/s0p/fH7t7ZjxvJdePW57NozWbFwVXqpGpMXFRuadnAsi/+cO0Rv3W+41tQcRCJKgs/O4OO/nUCgRtQHN9cPkpndW5m+T2th36FlMl6fnKMH6Mt1SyRNDwUxQgghhJBbLFHr+cpgRA9hQF2VqlvH5nBYWXAMqzeuCEVFzFu1G3PG9UWEUTD73d1YO+dRQ1DRQhgQ2wIYleRYAw0B5o01BODIKT8+2X4c8yf0A8swuFgVQjSq4O3/u19/7eSRPfHBX76HPxDG61P6Q4yqSLZzCEYUVIUkcByLJVNz9Pb0Hrcd0UYGKrdy2xCMKpizMhaclr74MOwWQa9mLX3xYcxbtRuCEPun7KwVXxsCkW9NMV6fnIOi/GzIioKICGz79rTpvSqD4YSVNY/bjs17TmPYw10xd5UxSG7Z8wNmjMlE0fvFplUvlmWoMQdpFAUxQgghhJBbKFHr+Q7pSRCl+G1zDBOrMmnNNbS5XRY+NlPLbmVRHZKQ1T0d0aiiz8yqiYh6CANiZ6zmrfoaL+dlQRaBVm6baSVL2zZYeqn6/7N37/FRlee+wH/rMmvukwyESZCrKBcVqKAkBYagCFirlqJ7FyynJSoiJC0ptVYG2XL5IBNvm0IF3AgW7PYjnB6llK09citiUEkQPSDeUAwEuYTAkEky13U5f0zWyqzMmnAnCXm+f0GyZs07Azp5eJ739yIr046aunhKeMeSdZ9iyrgBcFg5RCISWIZBMCxi9T8+x+4DJ7XXtHRmfqIwY9lmxyElsNrY5MtP3oG4qGDBKn03a+nMfMgAwjFJF61/+HgNRg3pbtgtrA3FsbW8UvdcH3z6A/7trt66UJG6cBShqIynH87Fs38pw4YdB1NGFCeO7YfuHid1vchFo0KMEEIIIeQKaO6A5WRG0fNqt8YspI4Mlh04jh/3v04rwozO0urstmDi2H5aaqLHbcXsh3Oxes5oQEkkBqrx8gtW7dY91uU04cixIFa8tS9l7M5f5EWXTnbDAqqrx45YXNa6Ux63FTMmDMLZ2hi+PhLQXpP6/dVzxqQdh4xEZW1c0iqYtCKs6fvDsGiI1k8UhuNH9kL+4G6IxqSU97RkbTnmThmqFWLqc+UP7gYAKe9hXTiKDIcFJUVenDobhgIF86cOBQNAVoAMhwkmEwe3ibsMf1tIe0TRLYQQQgghl5na5Zq1rBRT/Vsxa1kpKk4EIRrElxtFz1cFwohLMiRJga8gV0vg87ituLlXltZNyrBbjBP/DMb+Fv2lDN8dDcK3vBRZbjsEE6d1wVb6RsNf5IXHbYEUB9Zt/gYzJgzSPa9vci54noFF4A0TAc0mPuXsr6XrP8WDo3prv5dkGXOnDMVK32iYTWzKa/MV5MIsJLpl6shgc2EaDKB7ztG5PeFfUwaWgeFjOI7RPddn35yEf00ZIjG54X24C/5CLxRFRvF/7oQkKVAAPPVyKZ740weY/tx2THtuOwqf345IjKLoyaVpFR2xcDgMn8+HAwcOgOM4PPXUU7jzzjtTrvvyyy8xe/ZsyLIMURQxePBg/Md//AcEQWiBVRNCCCGEGEvX5Sop8qKT26ZdF49LYFkYdoYkSUFUlLFu81eYMm4AOmVaIJh4RGKJPVdNz+1SJc65Mv66GkXvX1OmnSHWdCQywy4gUBvBX9/9EouKhoNRmMTIHsei4ocadM12poR3zJgwCEhT/DhtJu01cSyLOatK8aeZ+QhHZRyrqtWNBH5VcRoumwCOZVGydg9mTb69mSARBtG4/nVyrFqkGb+nJo7VRi0P/RCA027BzIcGQ1GAV/++TzugWrvexGq/NgrlIORStIq/QatXr4bD4cCWLVvwyiuvYM6cOaivr0+57vrrr8f69euxceNGbNq0CWfPnsW6detaYMWEEEIIIeml63KJsqL7WqAuindKExHpTTtDW8sqwDIMdh84ibe2H0R9RMT8VR/hiSU7EY3HE2EazZylZfT1Tm4rXvrdCMx8aDDqDc7POlZVi3BMRPHEQfjl3X1QWx+Hb3kppvq3wbesFC6HBQCDTR98hynjBsBfOBxTxg3Apg++AxQYPqcaf6/G2L/4uxE4GYjAamZxncfZeP/lpbjO48TRqiA+++YkfAW5KFm7B+FY3LBzFo7Fcby6TvecagGm7ulq+hiwiWCP5/+6B1aLgFUb98O3fBdmLy/FxLH9kHdLtna9GryRYTdjziN5untRFD25HFpFR+yf//wnSkpKAAA9e/ZE//79sXPnTtxzzz266yyWxuQZURQRiUTAsq2iliSEEEII0agHLDftovBNghwkScaG9w+hq8eh6wyZBRb3j7wBigytg/Px58e0+xU+twPLn7oDdjNrmPhnMbOY+dBgLH5zr65r9erf92PCmL7YVn4EvxjdJ6VY7NezI3zLS+F2WvDHX92u7ZsCGrt6i2fmY+LYfilBGB9/fgyzC3K1UUGP24rZBblw2gX4i7ywC6yWoKjub8tqiONXX7el4Zywz745hdtuyta+l+XkdemP4Vgcv3lhB/p2d+uec2tZhfZ+AMC8x4aC5xjwHAtRlsEywKzJuaipi2gdveTXVlLkxdTxSAneoCh6ciW0ikLs2LFj6NKli/b7zp0748SJE4bXnjx5ElOnTsWRI0cwcuRI/OIXvzC8LhgMIhgM6r6W7p6EEELI1UCfTe2H22kxLJCaxplzHIvxI3vh+i6ZKWERdiuPOSs+1H1t0t198cZ7XwNIFGPP/caLrh67rpipqY+g4ngtLGYOz04fjjPBCLLdVoBh8OjP+oNjWUy5/2bUG5yfpY46NnfIc31YRKZTwNwpQ8Gx0J2tterp0boEwxVv7cMTk24DxzJaWqJdYFEVCOPdXRWYOLYvZDmR6mgysag+G8Y7pd/jobH98Mc/l+qef/XTY1Ji6gO1EWQ6zdpzRmIisjItibVxDEwcizc3f4V/G9Ubz6z8CP5CL97ddQj/blCEVgXCUAB4kkZHVRRFT66Eq1KIjR8/HseOHTP83ocffnhB98rOzsbGjRsRCoXw5JNPYsuWLbj33ntTrlu7di1efvnli1ovIYQQciXQZ1P7wfMseua4UFLkhSgr4Fnj1ES3w4x7vb3wTukhXWGztawCY/J6oioQxm//fSBu7ZMNSZYx6vbu6OAy489/2weP24qauhheeuMT+Iu8uiLlladG4ZmVH2HB1KHo4bHjdF0MVWdCsAiJPWaeDjZ0dAgpxWLyfqzmDnkOhSXduVqLpg/FQ2P7QZJl3NAlAyfP1GHRmjJ43FawbGoi4epnRqMmGMPs5buaFKpmPDS2H0SDPW7pzvuqqYtoz+UryMX//bACW8qOwFeQiwNHA9j3bTXG39FbKy5/MaYvRNH4EGfa90WuJkZRFOXcl11Z9957L0pKSjBgwAAAwOOPP46f//znKaOJTb3zzjvYtGkTXnnllZTvpftXx0mTJmHbtm3o2rXr5XsBpFW5/4mNLb0EAMCml8a1irXQOlLXQUhLoc+mti0aFVETiiXG4zgWGTYBZjMPWVZQUx+94LE1Nd6eZYEzwajujKpZk4egg8uCcFQExzIp53Edq6pFhtOCv777JcbmdcNtN2cjEIzhi0PV+HH/6yDJMhiGgaIoEEwcfjhVhyXrGsM1iicOwvWdnQjHZG3cz2JmISkKTp+Nwr+mDI+NuwVZbntK4dMx04wN27/FiEFdUbK2HL+beCusFiHlunhchMnEY+feSmx4/5D2uj0N44jJY4/q1+dOGYr5qz7CosLhWpGW/H015EMND7ELLGojknZWmllgEYokOm+ffXMS67cm9oq9u+t77Pu2umG8UcFLb3yCX/30Jl3gyOyCXFx/XQaNHJKrplWMJv7kJz/B+vXrMWDAAFRUVGD//v146aWXUq6rrKxEdnY2BEFALBbDtm3b0KdPH8N7ulwuuFyuK710Qggh5LzRZ1PbFY2KqDxVl1JsdM1y4PiZeix8rfEsrjmP5KFHjqvZH+iTD3H+z9/lw2kTsHDaMDAMgx2fVKJkbTn8hV5Mf2572vO4GBaYfG8/XNfJCVGUkZVpwc29snTdp4XTh0GUZK0IAxoPYF44bRhW/+Nz3DWkBzIcAtxOMw4fr0EsLmujjg4rrxUv6iHPEUnGfSNuAMcy8Bd6AQbwLTM+58tkYnVFmPr9dGOPaurhO6WHUrpfsyYPwWubvsC+b6vx+1/eBqfdBEXhtLPSVONH9sJ9I27AgBs74abrs/D2vw5i37fV8BXkItMuoKY+pqVCJo80up2074tcXa2i//roo48iGAxizJgxePzxx7FgwQI4HA4AwJIlS/Dmm28CAPbu3YsHH3wQP/vZz/DAAw8gIyMDhYWFLbl0QgghhLQDNaGYYRx9MBzTijD16wtf242a+mjae0UiIs40xNuPye2OU2cjeHrFLkz1b8PTK3bh9ptzMCa3O0RJ1u7Z9DwujgMUGcjKtEGUZLxTegiRaOIQY7fTgtkFuZj50GD8UFUHRTGOlQ9FRdw/4gas2rgfT71cijmvfIhObjtuuSELFjOLqf5tqA2J8C0rBccy8C0vhQJA4BI/PkqSAquZTRuVn9izZpykmC7VseElY8P7h+Bu2If2yqy7sKhwONwuMx64szf8RV78ZdMBzH/1Y/Aci+KJ+vPO8gd3A8cysFl4mAUOvxjdF/4iL7p7HBAEXtu/F6hNjDQufnMvMp0WuCgFkVxlraIjZrPZsHTpUsPvFRcXa78eN24cxo2jsSJCCCGEGLvYMcFzSVtspPl6NCahKhBKWUMkIuJodR2sAoeqQBh33NZN19FRC7xnpw9HLC7r7qmexzV+ZC8EamMp3SITn9iH1nTkbuG0YWnO1OKwdH2TQ5/XlGH6gwOR6bRg/mN54DkWC6cNAwAsnZmPWNLo4sJpwxCOotm9ZBxguK/LKO1x1uQh2LDjoPZ4SYJuH5r6dX+hF18fCQAAYnEJr7/zJRY8PgyBYAR2qwkcx+CPf/5A93xqEQY07t974bcjEJcUyLICs8BRN4xcda2iI0YIIYQQcqlkWcHhE0H8YclOPLpwC/6wZCcOnwhCli99O7x6gHKy5jo7R6tqdWuIxyWcCoQQqIvAbOJgMnHwuK1QFOPzxhRF0YoS9Z7qeVz3enuldOdK1pZDkoCJY/ukxLKv/sfnePph/Tlcsx/ORSQmGj63ReDhX1OGrh4XasNRvPTGXviWl+J4IAKBYbTn5lgWkizj5Jk6w3O+OBNQExaR6RDw/G9HYKXvLvgLvTALDCY+8x527q1ESZEXK32jsahwOD749Ci2llfisXG3aKOR/kIvHht3i+6+4Vhc9/4HaiM4Xl0H3/JdsFtMmP/qxymF7dn6mO51siyDmvoYZi8vxVT/Vjy59PL9XSHkfLWKjhghhBBCyKWqqY8ajgm+WJx/ydHjGbbUhEFfQS6s5kTHiGNZnDxThz+t+wzFEwfh9Xe+1Nbwrz1HkD+4m/6xk3OxcPowMDA+b4xjWfzbqN4Yf0dvbC2rwMjB3eC0m7QCxXgUUEHnLEfK93YfOImJY/rq9kN5Mi2oC4uGz10bimujhYv+Uo4ZEwbhr+9+qe37Uq8Px+KwCib8ad1n+N3EW/XnoJlZ/H7xTl0QRlamBb//007t8T8Z1hM19YnO3oTRvXGf9waMv/NGnK6JpqQsvj7vbsTjMqJiHIXP7dC+LkFqOFxZwMrZo9O/N5K+wLqSf1cIOV/UESOXRSwutfQSCCGEtHNx0fiH8Lgop3nE+TObeWS7LfAXehOdnSIvOmaa8a9PjoJhGEiyjOwODiydmY/X3/lSG50DgNG5PVP3l60tS5ydxbOG3aSPPz+Gac9tx/xVHyF/cDecCtSjpi6x7yxdF45jGYQiccPvnTqb2A/lW74L81ftRl1YxPHqOsxu8twzJgzCW9sPasVg8v40tdhTr//NCzu0EcM/rfsMjz67BXNe+RCSLGtFmPp6F60pQzSm//PhWU57X/78t3149NktiMZkw7140ZgEUZZg5k3a+9/ZbYHFZEKPHBc6ZFjRuaM9feeS048dXsm/K4ScL+qIkctCMHEUTU4IIaRFmXjjvUqXcjaUGjEvSgqsZg7BhtAOf6EXH+z9ATf3ytL2eKlFVP6g67RCbNLdfWHimbRdmq++P41+vTrg2enDtQj2jz8/hlc3HtCu868pw6LC4ZAVBb7lpZgwurdhd85kYrF+y9eYMWGQbo9YcodOfU9sFh5dPS6AUfDcb7yIxWUcq67DX9/9EoHaxHldoixpa3DaTFpBk/zcogK4GhIf1fj4cFQyfL2youDV2aOhKAoYhoHJlPq+NDeqeaYmitpQHNvKD2Pq+IGw2y2wN/nzyrQbdy4z7YLuuivxd4WQC0WFGCGEEEKuCRl2M+Y8kpcSJZ9xkWl4yRHzyXHwJUVeiJKM3Fs6GwZt+Au92LjzEMbkdsftN+dAlBTDH/oZBuh3fUf4Xm6Mfn/lqVFaEaaqCoQhNoRKqN2j1+fdjXmPDQXLJA6A3rDjIB6+/2ZM/flAbW+V3cyivuGcsOKJg7Dr//2AG7tloovHgVBExNnaCDpm2BCXZLhsPPhsF56YNBgcy+J0TQi8TdDWGomJmPvYj8ExgMNqgr/IC7OJxamzkZSixywYj1sqiqIdOq1e+9i4W3Svl2GMH8swDHzLd2ldu3QEgUd3j6Mxcp9jkGkXtKAO1eX+u0LIxaBCjBBCCCHXBJZl0CPHhReL8y9LamKgNpIyJjdnxYcoKfKC45qLbVe0NfiWlWLgjVmYNXlIyoHNOz6pxMjBXXX3kGQYFiKJc7wanyccjSMal7T1rZk3BlWBxvWOH9krdV9aQS527q3E/FW74XFbsXRmPuqjMjiOwclAYnRRvXbGhEEAo2j7uzpkWCBDhhRPdK2gMGAYGI4RLiocntKVm12Qi9X/+Dxt0apex3LGKYs7PqnUHrd0/afwF3nT/rkJAg+P0PyPuJf77wohF4MKMUIIIYRcM1iWuWxhC6JkPCYnygrcdjOCoRjGj+yF0bk9wbGJImprWQU4LrGG49V1GJPbHXfc1g2KosBf6AVvYiDGFXAccM+wnojGZF3htWHHQcOibWtZBcbk9dTW8bh/O1Y+PUrr/EiivigandtTF/2uFj5zpwzFhvcP4fnfenG8oXCbMm4AVm3cr7t26fpP4S/0Ysq4AXhz81f4zS9uReBsLKVAmjC6N/78t32690eWFd1hyZ0aun+7D5xMeS/V7p0a8iGKEvZ8cSIxiikDHMtg+54jeOO9r3WPUxQFgdrIJRVRl/PvCiEXgwoxQgghhBADPGc8JsezDASBg11ikT+4m1bwaEmKAotIRITNwuP2m3NS9pB1yrSAZ4DjgQiCdRFdB2jft9X4xZg+8Bd5ERdlSJKCrWUVyB/cDTzfuB6P2wqB5xAIxrBzbyXuGXa9bp3p9qWpXTVJaizcnDZT2j1dbpcZdw3pgViaEA1/ob4zpY4Rfn0kgEVryhLnfhV5AcW408cwDB59dgsAYKXvLjzu3w4AeOO9r7HSNxomE4stZUdSnkNRgD8saUxlnPNIHnrkuKijRdoU2pFICCGEEGLA7bSkJBounpkPBcDJM/WojxoXJ6GohLP10bQJgJGYhOOBCOJxEdG4gmNVtY1pjIVeHDwcSHTYGsYRR+f2xM69lXBaeN11ahcs0ZFrTAt8Y8HdYFnGMD1QaggFTI55V88na3otyzDIcJqwaE1ZM5H5ckriY9mB47rf2wUWGQ0hGk2vVUcO1ZTG5OfnOEbby5X8uKcfzk3p4C18bTdq6qMX88dMSIuhjhghhBBCiAGeZ9Ezx5UI55AVuCycNs5XFQjjladGGXeS5EQoxcJpw9J+X+0mSXIIvuVlKc/9X7PuSum0/c+uCmwpOwJ/oRe+5aVYOG0YHht3CywCp8XI+9eUIRKV8U7poZQRR19BLraWVQBojMCvCoTx1vaDKXu6ZkwYhJV/34eJY/vhv+ffjWhcNuxocSyrPz9MYPHj/tdhyM05icKKURAMi+A4GV2zkkI0WAYff34Mb7z3dWPBZmbRt7tbS210O8yGe7lkWTEcc6ToedLWUCFGCCGEEGIgFhNxtj4GSZLBcYkEwuQOV7pgDXVvWboEQI5NHAINAF08dqx+egzMAov/Nfc97RoTz2LxzHxEorJW5PTpnplIYZQlLCocDpuZQ5bbrh1+vGbeGK0o2vD+IdSG4pg7Zai2f81u5TA6twfuGXa9rnD7+kgAmz74DgunDQPDMPj+WBB/fTdxFtr3x4LwF3phSbo+ubD77JuTiMQk/Lj/dQCgO7BZfS3+Qi/qQlEE62Poke1seG/juoLNLLCYsXgnFhV6wTCA22GGycQBSN3LFaiNUPQ8uSZQIUYIIYSQdi8SEREMNxZdLquAo9V1WuGRd0s2Hv1Zf90P/0bBGr6CXLz9r4MAgB2fVBoWL+o5YervvzhUjZt7ZeG/59+N3/9pJ4onDoJVYHEikBoN77KbEKyLw7/2I/gLvfCvKYPbacFvf3ErQiEJHMuAbzgja2t5JbaWN47++Qu9mL/qY/gLvZj4zHu6wo1jWdjNLCY+857ufZkwujcAoD4swuO2NHS0Etd/9s1JLaijV5dMbCs/kvJ6Z00egqNVQXT1uCDJMgJ1UbgdZtTHZG1vWDKGATxuW7N/VhQ9T64VVIgRQgghpF2LRMSUomvqzwciFpcwZdwAlB04jjtu66Yb5wOAreWVcNpMWjETFxVE4nHs+7YaALSkv8RhzdDG8Zoe1vzs9OF4esUu+Au9mP7gQGQ6zQg1E47hX1um7c9yOy0ouO9mLH5zr1aULJ2Zb1gAql0tu5nFSt9oSHFAgoT6iKTdO/n1/fbfB6JXV7fWcVPvc6yqFi+8sVd7/zxuK2pDidf963tv1gWNHDsV1HXt1Htkuy0X3dWi6HlyraBCjBBCCCHXLFlWUFMfbfYH9vpoHGdrI5j50GDIigKWYXSFw1O/HoL/vfVrTBjTR1fgjB/ZC/d6e0GSZTAMg61l3+OL7wO6/VZbyo5gyM056JBhQSQq4kd9OmH102O0LlQ4FoeiKBh4YxYAoEsnB3iOhZj2jLLE1yfd3Rccy2Li2D5aEaZeM2PxTiydmd9QICYONbYLLOqjMuy2xD636kA9YnEZA3p3AmfnEqOSDLBw+jDMWZE4dPnWPtna+6Deu2nB5nFbMfOhwfj7+98mEiNNPCLRCKaVbAMAvDp7tPGh10XeS+pqUfQ8uRZQIUYIIYSQNq3pXq5MuwBB4CHLCg6fCKb8sJ8ccy7LCs7WRrHirX2oCoQxd0qe9msgUTg893o5iicOQvXZKLrnOOEv9MJkYnC6JorZy/XR9EBiJHHB1GGoqY+ipi6GNzd/hYfG9kOO24LjARELVum7Q1lOHvd6e+mKv6bdKaBxf9nqp8fAYmbBAOic5TAs2L4/UQff8l3aveq1vWYcqgNBPLtmD0YP6YbOnRwoWVuunXcGBfAXeWHiWUSiYtpicMHjw8CyDHiWgQJg6viBcFkFWCw8uHBj51BRjM9ikySFulqk3aNCjBBCCCGtWjQqoibUWGhl2ASYzYkfYWIxEUeq6lLG8Lp7HIjFRdgtJiycNkzb07Twtd14sThf66bU1EfBMIo2Xgiknr/ldlpgt5iwZF1jquDsglys2/yVYbdIATA7qZMEQAu9MBw3LEr9+tGqoK77pu5Ri8ZFnDwTgqeDDaIoIcNuNizYakNx7V6SLGOqfxteeWoU9n97Erf2ycZK313gWBa+5aUYk9s97Xln6YrBqc9u0Yq8Di4L+KSRQpdV0NaeNrCEY6irRdo9KsQIIYRohZnXAAAgAElEQVQQ0mpFoyIqT6UWWt06OWAycThbH9P2cr21/SC+PhLAF4eq4XFbUGUQdjFhdG9dzLnAArKSGEV0Oy0onjgIz/3Gi5q6mHa/x37eH4uaFEqL1pRhyrgBuhj1qkAYcUkGy6DZscKUrzeMIfbt7saDo3rDaTOhNhRHttuSODCZAWrrY5jzyofaaymeOAhdOjkAAEtn5id1vFjYzCzmrUpE4quFk8dthdNu0u35UuP377itm/H4YKE3bVKix23Fi8UjEBcVnDob0hXIFguvRdWbeOO0RbeDgjUIoUKMEEIIIa1WTShm2EV6/rcjEDxdrxs7nDFhEE6erkOvrm5E0hy27C/06gIh1Eh6t9OCX/30Jsx79SPd/TZ98B1cdsGwgMpwCLqvedxWmDhWO+Q4tQvEpu0w5d2SjftH3KA7y2t2QS5WvLUPT/7qtpRCcMm6T+Ev9MJuZnVnm6mFjq/gdvzxz6XwFeSC44DiiYNS3hM1fj/t+KAs49DRQONeM5aBSWBhFbLwnzM745TB83br5NCKMYsl8WOmw2JqPD+MY3TR9IS0Z3TgAiGEEEJaLSlNaIUoKVoRpn5t6fpPcWufbPjXlKXvPsmyLhBCvf+Do3prRVDy/X7901vAsonxumQetxVup1n7ulqIvLn5K/zvrd9gdkGu9r28W7Ixf+ow2IREd6jpY8ApePRn/VOef9GaMjw4qjcUxbjDFoqKqE9TcEoS8GJxPqoD9ShYsAWxuJTynqjx++r4YNPXxzAM/vy3ffAtL03E4nMMolEJJhOHaJpUx5pQLOXP0GTi4HHb0DnLDo/bRkUYIQ2oI0YIIYSQVitdF0mW03dxqgLhlKh59XEcx+oCIdT7O20mw/sF66PoyCdGAZP3iBVPHATBxGndIp5jIJhY7Pu2GlWBMO4e2jMRRe8wQ1aAuSsTY4XLn7pDd3YXOAXB2njacUanzQQ2zT4rm5lvtuCsORvF7gOJMcLOWY608fsPjuptOD6445NK7ddmM4vfL96pfX/htGFpQziMNLfPj5D2ijpihBBCCGm1MmyCYRfJbGINuzhqsfHZNycNH5dp148TqsESkZhoeL/aUBz7v61CptOM6Q8OhL9wuHbW14HvqhGNS+A4Bp3cNoiSguKJg+BxW3HkeA26Z7vgtAt47vVyrWgpfG4HfMtLISvAkZNBBGqiOHQ0AIdVSPv8YBTMmDBI91pmTBgEMIr2eo3eh5K15XhobD/4C70wm1h8VXE65T3JH9wNuz8/jj1fnMCz04djpW80/EVedMwwY9Tt3fFicT6yMi1aEQZAV+imPC+Xmnqo7vPzLSvFVP82+JaVovJUHaJR8Rx/+oRc26gQI4QQQkirZTbz6NYpEfygFgnZbgs4jsGcR/JSihO1AFu/9aC2v2ml7y74C73olGmBICS6MJGIiKpACIG6CDq7Lbj+ugzdOKG6R2tb+WH065mFrbsPw+O2N4wj2rF192H07dkBb//roNYFisUlvP7Ol/jP3+VroRinAmHDzlEgGMGKt/YhHpexeXclnv/rHvgm65+/eOIgvLX9IGQZ2PTBd5gybgD8hcMxZdwAbPrgO8gywHEwLDg5Tu2MKdo5Z507OXCsqlb3nhyrqsWf/7YPW8qOQIGC+kgcvmWl+PW8zfAtL0X12TCCddGU13Doh4Dh82bY9IUukH6fn9EYIyHtCfWECSGEENKqmc08skxcyplg86cOhb/Ii+qzYdTUxfDXd79MpByOu0Ub/5MVBe/vPYotZUfgL/ICSBRhR6tTkxiz3RZMf3AgLAKPSEyEycTiobv7wsQz2PD+IWx4/5BuXT8Zej32fVuNh+7uByAx5vjHgtt0+6dqQ3HDsUKzwKEqEMbiN/diyrgBWLVxPzKcAl6YkY+4KIFnGYBh8MSk22A1c5g4tl/KessOHMerGw9gzbwxunFHjgMKFiTi5SVZxuaPK3DfiBuQ4TAjw25GXJIRi0vomMGjX8+OWOkbDY5lAAYpBVPJ2nI8O314ymt4deOBxKHRSSEc6cYN0+3zSzfGSEh7QYUYIaRdicUlCK1ko3hrWgshrZUsK6ipjyIak3C6Jgy304Kqhi7T3JUf4U8z8yGYOKzauF8rUm7ulQWwCuYsb4x7Xzh9GBgAx6vr4bJycNkE7XyxcCyOBat2w1/oxfxVu7XnVs/JUn/dtJhSlEQ3ymVNdIFcVgGBugiAxv1rb20/iCf/1+144b/36PaXmQUOk+7uizfe+xr9e7nhL/RCFGUoHJBhM6cUiktn5uuKLbOZxU3XJ4qo748G8W3lWdx2UzZK1pZrj5k1eQg2f1yB/MHd0MFpwamzYZyuSRSH6vuV/HrS7ftSFGDOw3lY+Bf9wdhWqxl2+7kPYE6bFmkwxkhIe0KFGCGkXRFMHO5/YmNLLwMAsOmlcS29BEJaNVlWUrpgMyYM0jpfVYEwRBnIsDcWVSYTC4fFBElStG6NxczhdE0iav2ZKXk4HoindJeemZLXcKBzI/VcMIvAYtbkXJSsLdMVOSwHBOsiCNoFWCw8guEYArVRdHA1HoT89ZEAOmY2dtpqQ3G8/s6XCNRG8Oz04Rh5execNIiBt9s4XWdqxuKd8Bd6wbKMdg7Yq7NHo+zAcdzcKwtbyo7g5JkQ5j02FDzHgONYcCxw34gbYBFYnKmNNByiDGwrP4wZEwbpovKf+vWQtAEnPMegR2cXXizOR1yUYeJZZNjNutCT5D+zmvqo7jp1n1/T12g0xkhIe0KFGCGEEEJapZr6qGFE/ZRxA7BoTRnGj+ylFVjJP+A7rQIsFk47x+pUIKRdYxVMWLCq1PB8saYazwUDWFbBvMeGgmUS529t2HEQ+76txpRxA7QRO0mSUVMXw7eVAV3hIYqyrtOmUhQFHMPBv+Yjw/Use3IUNuw4iK3llVoSYqC2cb+Woih4deMBTLq7L56dPhyKooBhGJgFFn9Y8gGqAmGMH9kL93p7QZIUSLICt8uCyffejLXvfIEp4wYgwyHAZTdj88ff474RN2DW5CG6rpqvIBdupwUsy8DttDT752VUOM95JA89clzaPr9zjTES0p7QfwGEEEIIaZXiovHeIqfNBI/bivu8N2jdIfV7/jVlKCnyopPbpj1GlBpHBZuLe7dbea0jpJ3xxSr4eN9x3HZTDqaVbEtZY4ZD0EbsOI7FtvLDuH/EDch0Clpx1FyUftr9U7KM+as+wqzJQwAA+76tBsexqKmLafdSz/96472v8cZ7X2v3fXb6cFQFwhg9pBtGDOqK2ct36Tp5ndxWPPqz/gjURlFTF8Pb/zqICWP64n8++A73DL8eJUVeiLICvqH44vnzy3YzKpwXvrYbLxbnw+20wEOFFyE69F8EIYQQQlolE29cwHg62PBicT4iUSnNYc8yZFnRRuesZg7L/zgKLANwLIvxI3vpgjfUuPe/bPpC24fFcyxMPIsnliRi22+6vqPhWtxOM1xWAZGICLvA4tGf9UdclCFJClZt3I/dB05i0t19DUfzzCYWURjvP+NYVgvLmPfYUNzr7QWzwOLL76u1scIdn1SmPf8LAMbf0RvzV+m7bSVry+Ev8qJTpg08x8LttGDq+IHgWCYR6HEJnap0hXNclNM8gpD2jQoxQgghhLRKGXYz5jySlzLqlpVhBcsyOCWGDIsYUUrsU3I7LRBFGdUG44sAsOH9Q9rvw7E49n1bjYL7WETjgCjJUBRg4bShqDheh3d3fZ+yr2r2w7lwOyywWHicrgmjKhDCi//9ia77BABvvPc1bBZeK/IYhsGOTyoxKrc77AJrWEzZzSxGD+mGreWV4DkWZ2vD+P3iMjw7fTje3XUIc6cMBccxcFh53cif2cRiS9kRAADHGh8SLUkKeJ7VdQ0vh3SFs+k8O2qEtDdUiBFCCCGkRRkFPLAsA5Zl0FXbWySD41i4HWYAQKA2Ap5PLWJmTR6Ct/91UIuUD9RGUiLZ/WvK4C/y4p5h1+tTE38zHKfOphZtpwL1uOO2btjxSSWmPzgQXTxOWAQOVlNDQEddBBzHakWY+jwla8sxd8pQ/HzkjdrBzFP9ifHG8SN7QRJlHA6E0cVj1yUiirKEGYt3YtbkIXDaTIiLMmav+AhAoti547ZuWqcreR8WyzII1Ia190SSjbtt/BVKK0xXOGfYzVfk+Qhp66gQI4QQQkiLaS7gQZYVHD5ZqyuM5j72Y0iSol0/fmQvLCocnujycCxYDvi3UX0g8CyqAqG0e7DiooxMG4/6mAyBT3SrFFkxLNoWFQ5HLC7jF6P7gGNZZDoEyDJ0EfPP/cYLt9OCKeMGwGkzoTYUx1vbDyJYH4Vv+S5t7xYA5N2SjZGDu2HOK43x+jMmDMKmD77DXUN6YNGaMgBAydpyLCocjnWbG/d/ybKCZ/+iX2PyPqy4qOCLQ9V4dvpwmHjGsNt2rtCNi8WyDHrknF+6IiGECjFCCCGEtKDmAh5EUU4pjKrOhLDirX3a1za8fwi79h3HwmnDtOAOtTP27q7v8cCdvdOOywmCCWYzg9PBMHzLS9OeoyXLCua9+pGumMmwC7q1iZKMX997E5asaxxdLJ44CLKiaI+xmjmsnJ04PNm3TB8yoqZBOm0m3XNLkoKt5ZVagaooxuOG6j4sl1XAzb2y8PSKXbpCVZYBnruw8I2LcT7pioSQBBraJYQQQkiLaS7gITntUGUReMPrk2Pd1bHAB0f1RjgWh68gFx63FQC0oqiD0wKTiUNtOAaxYQ1qCmEyj9sKhmFSumRN1ybLilaEqdctWfcpOne048XifPTIdsJmNoFjmbRdugyHkBhhTHpunmexes6YxD1yXDCZWMM1qvuwLBYeXbMS45wrfaMbAjjM6JxlRye37YoWYYSQC9MqOmLhcBg+nw8HDhwAx3F46qmncOedd6a9PhqN4oEHHoDZbMbbb799FVdKCCGEkMupuYAHBnLK9yIx0fD6mrqY7r5VgTA4lsFza/dg4I1Z2kHHVjOPuCjj1NkweI4Bz7PaXqp0KYQVx86m3NvEM7p18BxrWFydOhuGYOJgE3hUnkqMMr5QPAKrnx6j7QmrqY+gZO0euJ1mvP2vg9prUgvG5OIp3T4sh8WEU4EQREkBzzEpjyOEtD6tohBbvXo1HA4HtmzZgoqKCkyaNAmbN2+G3W43vH7x4sX40Y9+hK+++uoqr5QQQgghzUkXvJFOht2MOQ/nYeFfkgqLhxMBD7KspBRGng62lEJk9sO5ePO9xp8J+nZ3Y+LYPlAATBk3AG9tP4jC57dj/MheyB/cLaXQOlZVqx1kDEA7/4tlGez+/DgG9c3WrVntkhVPHKR1wZorEFdt3A9/kRf+NWWYNfl2nKmJpqxh8cx8WEw8Hh8/EI+O05/h1fQ97eZx6vZhOSymlL10voJc9MxxUTFGSCvWKgqxf/7znygpKQEA9OzZE/3798fOnTtxzz33pFy7Z88eVFRU4OGHH6ZCjBBCCGlFmgveSFeMSZIMjmcw/cGBsAg8IjERHJ8Y3zOZOPTMcaUcMMyyTEohMnFsP3x/LAi305KyV2vGhEHonGUDFMbwAGh/oRf/U/od/IVexEUJsbiMDTsOYmt54jyulb6clIOeY3EJr7/zpbavS1YUzHxoMBa/uVf3vH9998uGvV6JccQMu8V4DUVeuOw8Ogn6H83O5z09FQgZhow0PdiaENK6tIpC7NixY+jSpYv2+86dO+PEiRMp14VCISxatAgrVqxARUVFs/cMBoMIBoO6rxndkxBCCLla2vJn0/l0upoL3kgX4BCoi2L+qx+ndJJeLM6HWBfVRu06NZwdlrwG9TwxAFrBJivA7OWpQRgLpw2DLBvvzZJkBf92V29EojKeWflRylo4jsXCacPBsgxMHAOX3YwztREEaiNawiGQiKT3F3oRlxIHOm/YcRBfHwlo9/C4rZDSrUFSDN+f83lPjfbSVQXCEGXjexJCWoerUoiNHz8ex44dM/zehx9+eN73ef755/HLX/4S2dnZ5yzE1q5di5dffvlClkkIIYRcUW31s+l8O13NBW+kYxRcMfDGLJxucghz09j6pmtQDyiuOhNKG+bhsAppDoCWURWIo2uWw3CP2P988J12+POcR/KQ6bTAZRV01+bdko38wd10yY0zJgxCbSiGiWP7IcOWuJ5jjffEcWnO9jqf95TnGMN78hQbT0irdlUKsQ0bNjT7/euuuw4//PADOnToAAA4fvw48vLyUq775JNPsHPnTixfvhzRaBQ1NTW4//77sWnTppRrJ0+ejPHjx+u+duLECUyaNOkSXgkhhBBy8drKZ1PT7hfL4Lw6Xc0Fb6SjdoqSH/PAnb21uHj1+ZrG1qtr8Bd5dcEUaqqg0V6tLbsPa3vBmh4A7bSZcJ/3BtgtPPxFXnAcA0lStCKs6euOizKCdRHtIGanlUcoKmPhtGHgWBYnz9ThT+s+hb/IiwybgJpQDB0zzBBY47O9XFbB8P05n/fU7bRc1fPCCCGXR6sYTfzJT36C9evXY8CAAaioqMD+/fvx0ksvpVyXXHDt3r0bzz33XNrURJfLBZfLdcXWTAghhFyotvDZZNT9mv1w4of65GLAqNOVLtEvw25O+1w8y2DB48NwvLoO6zZ/g0BtBDzHpHSB0sXWV58NI1gf04IpjNaghnnsPnASALS9YJIMbNiRSCkcMairrpvlK8hFxwyLVoQ1fd2SJGPuq7sBAIumD0V9REgphH438VZAAULxOKAAkaiEOMuis9sCf5EXkqSA4xi4rAIsFuMfyc7nPeV51nAvHQV1ENK6tYpC7NFHH8WsWbMwZswYsCyLBQsWwOFwAACWLFkCj8eDhx56qIVXSQghhFz7auqjeOP/NoZQ1IbiePO9rzBxbB/MX7Vbu86o08WyDHrkuHRBGulSEw0LvoJcZDrNkGTlgmLrV23crwVTGK3BauK1MI+t5ZUpHbdlT47C/FX6DpwaoNFcN0r9XnYHR9oQEJYFTp9NTUnMdlvgtJ+7Y3W+76k6mkkIaTtaRSFms9mwdOlSw+8VFxcbfj0vL4/OECOEEEIuM1lWcP+IG7B0fZPUwY42XXKgUacrXaCHKMoI1Ea04A2304LacCxl3HHRmjIsnDYMZoFLGbXr5Lbixd+NQDymaOdv8SYGi14rTwmmYBs6QsnUQ44lSYHFrL8/xyJtiEe6bpQoSto90gZwyDI4jjNMNPQXeuE0PqUnhdHrIYS0fa2iECOEEEJI6yDLilaEAY2pgyVF3ma7MukCPbp2chieceWyCWlDNfYdPIXRed0xd8pQcCwgyYAC2bCzNPnefvjTus/OGUxhsfDa+N/x6nocOhrAosLhECUFJoN9amrYRbpulCDw6O5x4PnfjoAkpXbw1KTEWFxKW+QRQto3Gh4mhBBCiEZRjLtDChKhEB63TTvLSxWPS6iuCRsGegTqooYdITCJYiWZOmr4xntfIxCMYv6qjzDtue0oemE7rILJ8D7ZHRwXHEzBcwzWbz2IdZu/hiQpYDnAV5CrrSc57ELtRhm9bkHgwbIMTteEDB/vsgpaGEnT15kuJZEQ0n5QR4wQQghph9KNEaZLHUyXfBiPSzh8sjZ95yfNGVdgkDZUAwD+6+39mDFhkNadSz/+p2hBHcmiURE1oVjiwGiORYZNgNmc+LEnOWVwa3klPG4rFk4fdlFhF3FRxh9f3oVF04dqCYocy8JmZmGx8GAYGCYaZtiMUxIJIe0HFWKEEEJIO9PcuWAXmnyodrymjBuQ9nwso68zCpoN1fj6SACbPvgOC6cNA8syYBjj+3AcY1iEVZ6qSyl+unVywGzmL2vKoBovP3vFR7p1vVicDwAwm3l06+TQpSQmF4WEkPaL/i9ACCGEtDM19VGt0Orb3Y0HR/VGOCridE0YHTOs5518CDQeyPzW9oO6DpZawLkd5rRnXJ0rVCM52j0SEc/7/K2aUMw4IKPIC09DAXS5UgbPp3A1m3nteQkhREX/VyCEEELambgoa0XYr356U0rx1CPHdd57rtQ9UF8fCeCv7yZi7zMcArIyrcjKsIJlmZTuk9Mq4ExtxHBsMDlUI5nFwqct0ppSi8Nk6pjk5XYhkf2EEJKMwjoIIYSQdkYdp3twVO+UhMSFr+1GTX30vO+ldrzUYmzVxv0QTBzcjsZiRO0+de5oh8sm4Gh1HXzLSjHVvw2+ZaWoPFWHaFRM+xyyrCBQG0EwHIOJZ5HdwQaP25b2EOSrHZDRXKAHIYSkQx0xQgghpJ1Rx+nCUdGwcxQX5fO+l8nEoUe2U9epcjvMMJk4w+vPZ2wwWXP72dIVPBk2gQIyCCGtHhVihBBCSDujjtOdrglfUEJiOiYTB8957re60LHB5P1s6rULX9uNF4vz045PUkAGIaQtoNFEQgghpA1Tx/aqAiEEaiOQz/OgYJZl0DEj0V1KPv+quYTEy+FCxwbV/WzJzqdrZzbz8Lht6Jxlh8dtoyKMENLq0P+VCCGEkDbqYsb2krVE0MSFjg2q+9kutWtHCCGtDRVibVwsLkFIM4dPCGndWst/v61lHeTCXczYXlNGEfJX0oWODV7ouWaEENJWUCHWxgkmDvc/sbGll4FNL41r6SUQ0ubQf7/kUl3s2F5Lu5BztSgenhByraJCjBBCCGmjWmpsLxIREQzHtHPA0p3ndbnud7W7doQQcjVQIUYIIYS0US0xtheJiDhaXZeyx6trluOiijGj+y2cPgx8mIUoKeC5RBHG054wQsg1hgoxQgghpI1qibG9YDj9OWAXU4g1vd/AG7NQF4qjZG25rtDrmeOiYowQck2h/6MRQgghbZg6tudx2+B2Wq743qkLPQfsQu83/o7eWhGm3tu/pgyB2sjFL5oQQlohKsQIIYQQct4u9BywC70fx8Kw0BPP83w0QghpK6gQI4QQQsh5c1kT54AlHwLtK8iFy2p8DtiF3k9WYFjo8ZSSSAi5xtAeMUIIIYScN4uFR9cs/Tlgl5Ka2PR+FjNneOAzpSYSQq41VIgRQggh5IJYLPwlxdWf635Oq4CSIi9EWQHPUmoiIeTaRIXYRYjFJQgmrqWXQQghhFyTeJ5FJ7etpZdBCCFXFBViF0Ewcbj/iY0tvQwAwKaXxrX0EgghhBBCCCEXiPr8hBDSzsXiUksvAUDrWQchhBByNVBHjBBC2rnW0uWnDj8hhJD2pF0VYpKU+NfWEydOXNJ9unbtejmWQwghpImjR49e8j1ycnLA823n4+1yfTYRQghpvYw+mxhFUdrNCYl79uzBpEmTWnoZhBBCrqBt27a1qX8wo88mQgi59hl9NrWrQiwSieDzzz9Hp06dwHGXnnp44sQJTJo0CW+88QZycnIuwwqvnLay1rayTqDtrLWtrBNoO2ttK+sE2s5aL+c621pH7HJ/Nl0ObeXvjaqtrRdoe2tua+sF2t6aab1XXkuu2eizqe18Ul0GFosFt99++2W/b05OTpv519e2sta2sk6g7ay1rawTaDtrbSvrBNrOWtvKOi+nK/XZdDm0tT+PtrZeoO2tua2tF2h7a6b1XnmtZc2UmkgIIYQQQgghVxkVYoQQQgghhBBylVEhRgghhBBCCCFXGTdv3rx5Lb2ItsxsNiMvLw9ms7mll3JObWWtbWWdQNtZa1tZJ9B21tpW1gm0nbW2lXW2F23tz6OtrRdoe2tua+sF2t6aab1XXmtac7tKTSSEEEIIIYSQ1oBGEwkhhBBCCCHkKqNCjBBCCCGEEEKuMirECCGEEEIIIeQqa1eFmCiKOHr0KERRbOmlEEIIIQDos4kQQtqrdlWInThxAnfddRdOnDjR0kshhBBCANBnEyGEtFftqhAjhBBCCCGEkNaACjFCCCGEEEIIucqoECOEEEIIIYSQq4wKMUIIIYQQQgi5yviWXgAhhJC2S5YV1NRHERdlmHgWGXYzWJYxvFYUZQRqIxAlBTzHwO20gOfp3wMJIYS0T1SIEUIIuSiyrODwiSAWvrYbVYEwPG4r5jyShx45rpRiTBRlVJwIwr+mTLvWV5CLnjkuKsYIIYS0S/TpRwgh5KLU1Ee1IgwAqgJhLHxtN2rqoynXBmojWhGmXutfU4ZAbeSqrpkQQghpLagjRgghROd8RwjjoqwVVqqqQBhxUU69p6QYXivKyuVdPCGk1YvFJQgmrqWX0WrWQdovKsQIIYRoLmSE0MSz8LitugLL47bCZFC08RxjeC2fZj8ZIeTaJZg43P/ExpZeBja9NK6ll0DaORpNJIQQolFHCN1OC2YX5GLmQ4NxtjaCoMG4YYbdjDmP5MHjtgKAtkcsw25OudbttMBXkKu71leQC7fTcmVfECGEENJKUUeMEEKIRpQUuJ0W/OqnN2Hp+k+1rtjsglxkOi26EA6WZdAjx4UXi/PPmZrI8yx65rhQUuSFKCvgWUpNJIQQ0r7RJyAhhLRTsqwgUBtBVSCEQG0EspzYEzZxbB+tCAMSe7kWrSkzDOFgGwoqj9sGd5NCrSmeZ9HJbUPnjnZ0ctuoCCOEENKuUUeMEELaoXTR8107ORDLcpx3CEcyo5APUZQRDMcgSTI4joXLKsBioY8eQgghhD4NCSHkGpYuATFd9PyLxfmwmvnzDuFIfh6jkA+7lcecFR/qvtY1y0HFGCGEkHaP5kIIIeQapRZHs5aVYqp/K2YtK0XFiSBEUW42ej7Tcf4hHKp054SJopLytWA4doVeMSGEENJ20D9JEkLINSpdcVRS5E0bPc+xzAWFcKjSnRPW9CFVgTAkic4OI4QQQqgjRggh16jmDlHOsJvx9MP6rlfxxEGoj8QRiYgXFMIBNJ4TlszjtqLpec0etxUcR2eHEUIIIdQRI4SQaxTPMci7JRt3DekBp82E2lAc28oPg2/oemU4BEx/cCAsAo/aUByvv/NlootW5L3gPVzqOWFN94jxfONBzurXXFbhCr1iQgghpO2gQowQQlqpSES8pMRBwcRi4th+KbdUCWMAACAASURBVMWRYEoMQ8TiEuav2p3yuIsZHUx3TpgoyvAXeSFJCjiOMXwN8biEQF1Ue51uhxkmE3fBayCEEELaEirECCGkBcXjEoKhGERJhiwDZhOLTKcFsZiEo9V1KUXUhSQORmKy4R6xRYVeZADguDT7xDgmbdpic9Rzwpp+rbn1xuMSDp+sTXmdPbKdVIwRQgi5plEhRgghLSQel1AdDKMuFEfJ2vLG87wezoPLIRgWUc2NDTYtnhQlsUds0t19ccdt3aAoChiGgVlgURUIwSqwhuOELqtgGEXfM8d12Q9hDtRF075OT5OijhBCCLmWUCFGCCEtJBiKQZagFWFAw3lef9mNRYXDDYM2mo4NqsUXywKB2piueFo4bRgeG3cLbu6VhadX7NIVVV8cqsarGw/g+d8Mh7/QC0luHB2sDcfSpi027XipYjERZ+sbxygz7QIE4dwfMZJkHKNPyYqEEEKudZSaSAghLUCWFYiSjJr6qGEhIiswTCFMThxMPiesPiylFE+r//E5ftz/OsOiKveWzgCAP768C77lpeA4Bh63DRYLnz5tUVJQFQjheHUdqgIhxOMSgEQRdqSqDr5lpZjq3wbfslIcqapDLCae831QxyObe52EEELItYgKMUIIucpkWcHhE0HIsoKauphhISJwDHwFubp4+eTEQVGUcSbpnDCeY3TF0+vzxmLqzwdCkmX4C714fd5Y7XtVgTAURdH9PrkDlRxFP3pINyx7chReeWoUOJbB/3zwnVZsHT5Zi3hcwtl64w7a2fpzH9zsdpgNX6fbkf7waEIIIeRaQKOJhJB2q+k4nUVgUR8WwXEsMmwCzOYr87/ImvooFr62G7MmD8G28sOYMWEQlq7/VDc6uOLtfZgwpk/D2KA+NVHthFkFTtsDxnGNMfGvzxuL0zXRlD1er88bi1/P2wyP2wqGaew4Ne1AqVH0O/dWYsSgrpi/6iPtPrMmD0FtKI6t5ZXaXq5LGS80mTj0yHbqkhUpNZEQQkh7QIUYIaRNuZg0PyPqOF3TYuXQ0QDWbz0IX0EuunVyXJFiLC4mCpf/ens/pozrj/+z/RtMGTcAGQ4BWRlWrPz7Puw+cBK7D5wEkCiUkkM6Ag2dsLlThsLjtuKO27rhndJDmDV5CErWliMeV4wDMAq9iXv9ZjgUGVjpuwsMw4DlADPP4nh1nba/q2eOC64RN8C3rFR3n5K15Zg7ZSi2lldqxVZz6Yvnw2TiKJiDEEJIu0OjiYSQNiN5T9RU/1bMWlaKihNBiKJ8wfdKN053a59s7dc1oXOP1l2oaDSxb2ql7y788Ve3Iy6KmPrzgchwCKipi0GSZa0AU6kFj7rnSt3DtWHHQfgm50JRFGx4/xDe3fU95k4ZCklO06GSFfzn7/IRrItj9vJdmOrfhqdX7EKwLo739x7V7e+SZRlSmr1iXMMnh1psZdoFw/HCTDsd3EwIIYSkQ4UYIaTVkWUFgdoIqgIhBGojkOXEiFsgaU8U0Fg8BWojF/wcacfpZLnx1xeR3CeKMk4FQjheXY9TgRBEUUYsJqIqEEKwPoLKU0mhFstLYbUIsJhZCCYOqzbuB8emCa9gGRypqoMoytoerq3llXhn1yHtMVvLK1H0wvZm7xGOpoZ6JId3JO/vSt4rlnwfSdbv5RIEHt09DviLvFjpGw1/kRfdPY7zSk0khBBC2isqxAghrYoaZPGHJTvx6MIt+MOSnVqwRdo0P/nCC6a0aX0s2/jr8xyti0RELU3wTDCCL78/rXXsakIRLVEwEjU+YDkSldE1K1HI2M2sYXeJ4wD/mjKcqY3AaW3sQG0tr8THnx/TPcYkGAd9mEyNZ4s1fQ+NwjvUvWJN72O38vAXeXWHLgsCD4/bhs5ZdnjcNirCCCGEkHOgT0pCSKuiBlnoztV6bTdeLM7XOjRN9yLxbPqCKRIREQw3BnLYBRbBhkCOpTPzMWPxTt0esc++Oan9OsN27tG6SETE0erUvWa//feB+PPf9kESoX0v/cigjNpwTNsn1RloDOlgWXAcULBgC4DE/rKj1XXomuVASZEXoqyAZxm4bIIWeBGPK+jstjSeD8YyMJkY/HreZrw6e7The2gU3sHzLHrmuHTPc7F78gghpLWJxSUIrSQYqDWthVw9VIgRQloVNcgiWVUgjLgoo0NDh6Zp0eN2WrRrZVlBTX0UcVGGXWBxPBBJuV5RZJSs3QNfQS6WzsxHMCyB4xhYBBZ2iwe39s3WUhPVQg5QACQ6SoKJQ4bdDJZlEExz+LG/0AsAuuJLHRlMCbVgWYiyoqU42gV9oSM1dPw8biskSdHSCpsGXHjMPOJxCYdP1sK3LLGmuVPysOKtfdpz7vik0vA9LDtwXHuO5P1dPM+mPcSZEELaMsHE4f4nNrb0MgAAm14a19JLIC2gVRRi4XAYPp8PBw4cAMdxeOqpp3DnnXemvT4ajeKBBx6A2WzG22+/fRVXSgi50ky8cbFi4tlzdmjUsUa1o7b66TFpiyTt10VedM6ya8/lsgPxuIRAXRQ2UcSJQATrNn+F+0fcoIuYn12Qi0yn+Zx7zZKLr0M/BAyLIKuZRV1YRKAuCiFN8bj6mdGoCcawYcdBDLwxC1CA49X1KcmRdZE4zCYOC6YOhSQDH+77AcUTB2HJusTat5QdwV153XVx8S6rAJddwJCbO2vhGzRaSAghhFxZreKTdvXq1XA4HNiyZQsqKiowadIkbN68GXa73fD6xYsX40c/+hG++uqrq7xSQsiVlmE3Y84jeVox5XFbMeeRPGTYEwf8NtehaTrW2NwooPbrJoEckYiIYCiRXhiKJsYKp4wboBVh6uMWrSnD9AcHonuOK22Xy+O2guOhFV/PrtmD+Y/l6cYOTSYGv2syHrlzb6Vh8fjuru8BAD8dfj18y0t1j+mZ4wIAnK7RF3GzJg/BJ1+exKJCLxgmUeiq3bxkajQ+IYQQQq6OVjHo/89//hMTJkwAAPTs2RP9+/fHzp07Da/ds2cPKioqMG4ctXAJuRaxLIMeOS68WJyP1XPG4MXifHTJsqO6Jozj1XWoCoQQj0uGj2061pg+PdA4kCMel3C0ug6+5YlUQ7WQc9pMKQXdwBuz0D3bBbPJOFzDLLDwF3ph4li4XQL8hV6s9N2Frh4XPvvmJKb6tyESk/CHJR+kFF2jc3vqnkstHreWV+KBO3ujZG15ymPO1EZwJpiaKlmythzDf9QFDAN43Da4nZaUIowQQgghV1+r+CfQY8eOoUuXLtrvO3fujBMnTqRcFwqFsGjRIqxYsQIVFRXN3jMYDCIYDOq+ZnRPQoix5L1W6booTal7nNRgjIsdcWMbRg4BaHuemo7qqYl90aiImlDjc+bdko37vL3QMcMKW0MCYdPH1tRHtF+7rI2BHIG6qK6QUQu52lBc1/UaPaSbriv15KTBui6XxcxiZlKXa8nMfISSzjq7sVtmw/1hfE5Xk7TGRMHIYqXvLu0aAHj5yTtgFUyJDp8C2Mys4f14joHbYb7gPwdy+dFnEyGEENVVKcTGjx+PY8eOGX7vww8/PO/7PP/88/jlL3+J7OzscxZia9euxcsvv3whyySENGi610odD+yR40pbjMViIo5UpaYHXup5Uk2Lo+S9XRk2AZWnGp9z/MheeGhsPyxKWsPimfmNRVJSaqK/0AuXTdCN5DXd71VTH4GvIBfrNn+FGRMGaeOJD9zZG/Ne/Ui79oU39sLjtmLulKGY+sIWrJ4zGk9Mug2yrKBjhgVn6mKY/+rHuvflzQV3IxSVdQXe0wW3o1cXNyRZxuqnx2h7xzg2se4Zi0sxd8pQeNxWPDMlD3FRwYJV+hHF5U/dgcLndmivweO2gudYLWaetCz6bCKEEKK6KoXYhg0bmv3+ddddhx9++AEdOnQAABw/fhx5eXkp133yySfYuXMnli9fjmg0ipqaGtx///3YtGlTyrWTJ0/G+PHjdV/7/+y9e2AVVZru/auqfb8k2RASQEBEERXJAYUgJCItF7u1e5DxOOLn2MQ20BBUpLtVNtCiNCSorQitaCNMY/t5hDOfw6EvzqcCo1y8BBUHRUUUEZRLCOzc97Wqzh87VdmVXTvg9Niirt9fSV3WWrV2IPXkfd/nPXr0KDfddNPf8CQCwfeDrizkMx0KM2lozeEeOKucor9BiOU0w1B1Gtusc154TqEpwozr5izbyszrSiju5qMtnjLdBItCXubdUkrPAg+tCY18n8vsLWbc/4tHt7H8F2OYfm0JfrfcbnDRUV/WeU2KDCMHF9PcmuThZ98255k9ZRihoIe6SNRS8/XcSx8xd+oIlj69k2mTBlMY8mfVftVHWnlq4x7CFaXMnTqcDa/sSxt8uJymCLPsd1W5+Qx2rpKCbxbxu0kgEAgEBmdEauIPf/hD1q9fz5AhQzhw4ADvvfceDz/8cNZ1mYLrzTff5IEHHsjpmpiXl0deXt7XtmaB4LtMVxbyuehKMP0tZIqj34evxCEr7dEtCb9LZsnMMnRdR5IkovGU7Ro8LgfHTrZZbNzrIlGq/1DL4hmjyfM6aGxNG3TUVJXjccvIQFtCM4WXDrzx3mGe2riHlXdfaWvQoelw6z9czIInX7PMs3zdLionDaF6bW3HvrTXfF3YP2Ra3RsiDKBmVhnoEn6PI31e0UGV2LTzED+95iJiOZ5V1TTumzYKhyKjKBLdRN+vMwrxu0kgEAgEBmeEELv11luZO3cuEyZMQJZlFi1aRCAQAGD58uUUFRVx4403fsOrFAi+P3RlIZ+LztEk457O9U5flVDATbiiFL9PobVNpWbt65Zoj9+nML16C0UhL4tnjLZdQ3Nb0tZww/g+0y5+zb3j0YGjNhbyV1zah7ZYin/7j31mJCvzfMDnJJ5QbecJ+pzWfZFlqmeOwuN2El65ncUzRpv3rVkwnqbWZNb8vUIeikJeYvFUlz3JWmMJ8gNOWqOqEGECgUAgEJyhnBFCzOfzsWLFCttzs2fPtj0+cuRI0UNMIPiaOJWFvB0el70xhsf1twuBvIATNMkUYZDdOLkuEmXNn95ncdVoUkkdWQJNB49HQVM7GiJ3Fi4ATS2xjuOqRFzVcvYfG3tpX6ZVbwKgpqqcZEpF1WDDK/vY/Um9JTUwc55YImV+Ha4opSUap7hbwIyCWYSVLuWc33jeeCppu99+t4zH7WHOsq3UzCr/m/deIBAIBALB18MZIcQEAsGZRaaF/Om6JqoaHK5rtrgHfnTgBN3zT68+yWiibLgfhgJunE6FSEuc8OM7LBEjAyMVr6aqjOa2JJ8faaS1LZUlTra+c4gPPoswr6LUYuRxxw3DWPOn95l+bUnGc+SuATPOAez+pJ4bJ8Ky53ax92Ck40IJwlNLqXnauoZQ0M2q8DgUWaaxNcbsZdtYFR5nzpPZ7Lmr/mfTazZTPXMUXo8Lt0uy7LfPLXOiOYkiQ3VVmcURUiAQCAQCwZmFEGICgcCWTAv5THLZ2uf73fTtmWcxmzhVFM0gl0V9n8KAWXvWVSpeeOWOtPlGRSnPvfRRViRpYeUoNry6n6DfSeWkIQR9TprbkjzzwofsPRjh1n/oEFiZPcbs5tJ03RJ9uvvm4RYhlNSgqJvHIpD2fxlhzrJX+X14HLcuedkynjHPkrVvMb9iuBnxyjU/wLwnXmfNgvGgS6YbZJ7XxRf12a6V/XvmifREgUAgEAjOQIQQEwgEp82pbO1PJ4qWSmlEmmOkVD3d3yroyW1RX1WO3+ugKOQlpam2qXhut2xGxJ576SPGjTibN/ccM+cz3AwB0CVWb3zPVuCYwkfRcTuUnHNpmp5el1u21JZl1nHZHb/rpkuQSPf+WrT6zXQPM5/LMo/hjtinMJAz7bAo5OWG8QOzasiqq8ps93DprHJ6hHxf68+FQCAQCASCr44QYgKB4LQ5la195yhaMqlS39iRbti575cpMDyOnKl4sQQ8eEc5TkUm3+tsjzTpKIqEx2VtnHzHDcMIZJhiQFpotRsfWtL/Muf3uWUzgoUq4XBAz5Cn3a5eR5ElfG6ZLW9/wVMb91AU8qbrtXLVcWUcDwU9NDTHGNivG/UNUXr38FMzq9xsdt2/Zx5LZ5WT0nQc7fvncMj0KQx0zK9I5HlduFyKKXTDj1ut61M5nC5T2t/mWikQCAQCgeDrQQgxgUCQk0QiRUNrwhRSuq6ftq29XbphrqhNLoMLSZJwO2VSmkadTZTpo8+aLWOtWL+L6qqyrD5am2oPAPDUxj389s7LzX5giizjdsnMXraVJTPLaI2l6BHy0BrXUDUNSZJ49Z1DXDSgOx63Qu8eAWqqyoglUl3WcRnHB/ULcfPVF5qNoI30yYKgm9Z4CodDweGQbSNWHo/D0mzaIBT0cKS+JWtuVbNPZ3R0UdcnEAgEAoHgm0MIMYFAYJJZ/+WQJVpiSe5/6g1TROSyh9c0HU3TLWmIdumGuaI2TqdkG6nyuhXiSQ10cgo4gNuvL2Ho+cVp8YTEI3PG0NKWwqnIfFHXxNVlA/jR6HNQFLk9mrTDMs8jd44hntDonu/muI3g83kUfv3k65a1r5k/gclXDGB8aX8UOS2ENtUesKQ5XnflQFOEGeuuXltL5aQhrN74niWt83Qw0joBVt59Jf/2H/vYtPMQkJ7bbg9FM2eBQCAQCM5MhBATCASAff3X7CnDCAU91EWipj38vFtKqf6D1Xlw9cb3mHX9UMtLv12DZx37qE1za4oP9teb6YGSJPHK24d4ufYgi2eMBnK7GN5+fQkD+oQsJiHhitJ0ZCuaok9xHn6XnI5ytUfBHry9nIpFL1MzqwyvS+FYu/haMjN3xK7z/Eg6Yy7py/2rO/qaLZx2GYoMi34+mlRKI+BzsnjGaBRZ5t2Pj/G7f91t9hTrnNZ5KlIpjQNHmyxCa+7UEUDawXHMJX3pFfLYpjkKBAKBQCA48xBCTCAQAPb1X8vX7eL2fxrKr3//OgBBn4ugz2XrPFg5SbVExTo3eB7UL0TA58yK2sydOoINr6QjOxu37mfJzDKCHoUrh/fjikv6oMiyaVJhZ7Ix9Pxiwiu3Ewp6zHU1NMcIBd38vGYza++bYGuesW7RVRyJxCw9u3KlXqqaljV/PKHZ1ILFLRHE2VOG8ce/fkikOUa4opTbry9h/aZ9BPxOnpo3Hl3XSaY0kkkVp1Mxx7az8m+wiTAufXonNVXl3DgRHE4Jr9eN3y9SEQUCgT2JpIor4/8agUDwzSKEmEAgACCZI22wsMDLoH4h+hYHuLrsHA4ebbJ1HvyirploPMXZPfMAcMgSi34+GrdTRpIknA4JGcjzu8wokd8ts/rPH5jpdXWRKEGPYiucVswZwx0ZxhzhilK+qGuiV2GAUNBjW4s1fkRf1GT65aNy0hCe37KPvQcjFlONzP5kkiTZCj5ZlrJ6kCmKZLnuuisHsnzdriwhWzlpCNVra805Lzq3kFhcZf5qa3rk2cVBnE4lp5V/93xPDpGo43Erp+zzJhAIBC6nwk9+ufGbXgZ/fnjSN70EgeCMQAgxgUAAgNNhH3U6eqKV664cSP/eeXxZ10zA5+L+6aNZ+5f3eXPPMTM98ZkX0pGfR+4cw8mmeFaK47m9grYC6/rxA00hVhTy0hrXcrsRGo6JsoTLJRPwOpFliSkTz8+qxXrupY+4ceIFlpRFY517D0ZMU43Mmq5X3j5kb1vvUvC4FB68rZxESqMlmsTRKeJnpBtmYqQhGl+rmoZTkVm49vXs55tVTlHIl9vKf5a9oYnRAkAgEAgEAsG3CyHEBILvEHYpbU6bNBS7psz5frdt/dczL3zI3T8dTnNrgiee322JOP306gv58ngbz7zwIQCVk4bQFlM50Ri11Jb9aeunTL+2pEvDDUP0qJrGhNJ+jL20L7qum/Viqqbx7699xphL+lqE0oo5YzirRzBLBI0bcbYZwTLmW7F+lxmNUzWNNfMnWIxCnn1xLz6PwxR8koRZqxauKKVHgQdVg227vuCHo89h7tQRLH16J3WRKLFEyr7+rS1pfq0osm3tXF0kiqqmbea7Oi/MOAQCgUAg+O4ghJhA8B0hV0qbkfJm0FVT5sJ8DzOvK8Hjcpj1X5HmGBJkiZrqtbUsmj6a57fsA8hKDTRE3NRrLqC4W6BLu/cHbiunsMDLqg27uf2fhjL8op7Mf8KauufzOBhf2t80xwB45M4xHInEaGiOZYmg/IDLdj5dJ8vYo3u+2zQKURQZr0vmzvY0SAMjKnXsZAvXlA9g3sodlJxXyMLKUSgyyIqcJWSNGjFjnjyvi6Zowr7eTbGvrcs8n6vnmEAgEAgEgm8f4je4QPAdwIiE+T0Olsws46arBpkRp0hL3LxO03RONkVtmzKfbIqSUnW65XlY9tw7PL9lH1Mmns9vfj6alGpvYtHYGmfKxPNtbdpXrN/FnBuH4fW4qG/sSAHMxDDc+Jc/7cHvkpl+bQnxpH1qYjyp4XRIVE4awqB+IaDDMGPdSx9zxw3DzPGLQl5CQbftfIczenAZYyeT6WiUyylz6+KXaYmmckSlNLrl+dC09H5s2nmIWQ9tYcYDW5hevYmA10nlpCE8cFs5S2eVc1aPAL+86RJqZpXTpzCAx+MgFHATrii1rDVcUUoo4Abo8rzRc6xXdz89Qj4hwgQCgUAg+BYjImICwbecXJEwgGdf3IvbKVMXaUNVNXweB/GkfWQqkUzbxr//aT1LbyunqSVhRsEWVo60jdI0tiQ4p3cePo/SEVGSZfZ/GWHJ2reQZZmata9z+z8NRUVl+ZwxtLU3S1ZkGZ9bpjme5NeVpWb9WKZ5Rub6VFVjes1mS7TNiLLVRaI888KHpmtij5CXv27fn2WwMa+ilCee3509tqbx6jtf8OyLewGQZXvTDkWWWfDkdhZWjrI9H09oVK+tBWBVeBzJuM6GV/bxT+MHmc2ZnU6Fs4uD7U2ldRRFsqSQnuq8QCAQCASC7wbiz6kCwbecXOYOYy/ty103XcLxhhjhx7czvWYz0bjKkfqWnJGiL483c+E53TnZGLOkIq576WNmT7FGnO756QgGDwjh9yjURWKEV6bnCK/cTmHIz/3TRiLL6fXIskTA7eRop+uORmLoGsQzDDoM58LO61Nk2Xy+Fet38at/vtQSZdt7MEL12lqWPfcOEhIbXt1P0O9k5nUl1FSVMfO6EgqCbrMhcuexy/7HWQCMH9EXScI2KuV2ySyeMZqg35l13rDhN75PpnRmPbSF3Z/Um2mHBk6nQlHIR69CP0UhX5bIOtV5gUAgEAgE336EEBMIvuXkMnfQdZ0L+ne3iDS3S+bsXnnM6yQi7rhhGPkBF/2K8wh4nYSCHu6cMtQcb+/BCH/864dUV5Xx8OwxLJ1VTvf8dMPkaA6Xwz5FeTgUmclXDKCwwEs0YX+dQ1Ys9WOGc2FnEYSss3rBeAb1C1EXiXKyKYbbJecUTEUhL4mkRjKlt5/z0xZP2F7f2BrDoaQF4OSxAwk/voO3PjjKkpllrAqPY8nMMgoLPPzi0a1Mr9nMr5Zvxe91tJ8fT3VVGdt2fcGmnYcsoswYP9/n+lo+e4FAIBAIBN9eRGqiQPAtx87cYeTgYtOhz+ifNfzCIk40pqNnoWDalKN3YYDWWBLQkSQ5y8SieuYo5j2RbuYcaY5RdzLKOb0CHM2woV8VHpfThEND4qpR56CqOhK5zToyLeSPnWyjR4GHJTPLLK6JL9cepKaqnJuvvpA/b/uUxpYE9zy2nf/3/qssaZFul8wvHt1KuKKU57fsM63xRw4u5qfXXET3Apfl+mgiyaLVb3H/9FHMvK4EpyPdH+zZF/eaqYoAT84dZxGRC554jZqqcnRJR1YkfnL5ufyobAAOWcLhkPmn8YO48aoLyPe5cLvFf7UCgUAgEAisiLcDgeBbjmHuYAijkYOLmTLxAsKPW/tn9ezuY97KtBNhyXmF9OzuBwny/WmTCEOEgb21/B03DONIfTPF3XyWyFamiDIwrNoz11BTZd8HS5Fl3G7ZfIbJYwfSFksxvWZz1rOqmsaK9bu4f/poHn3uHQD+eeGLAKy9dwLJlE5bLNXuLKix+5N6c56bfnghyaTGrx7dZqkZC/qd1FSV43HLfHFMzfk8hr28gSEi//21zygZ2INz+xTQI9NKPvhf+zwFAoFAIBB8PxBCTCD4lmOYOzx4++WkVB1N01FVjQdvvxxV00CXSCRV0+lv/Ii+XF02gIWrXjcFSU6DDE1nVXicGTnye0NZNvQ+d7puKtIcp7ElweadnzNl4gV4XbJF2PkzxJbFlt4t89mRJgry3JZIVS7RVheJ0hZLsvdgxHJO1UCWJFRdRwccDtmMqmkaeNwKd/9uW5YFf+WkIaze+B7hilIGnh2i7kQbc6eOoLk1Tp+iPHM9LdEO98nM9Wx4dT+lg3uRTGn/3R+tQCAQCASC7zCiRkwgOMPQND2dBhhpI9IcQ9P0U96jKDLReIpDx5o40Rjl6MlWIs1xIs1xwiu3M/PBLaYJxuSxA1n6tLVWK7e1vGQaayRTOofrmi3XDuoX4lgkhsejUJjvpX+vINOvLaFXyENLNGWOVT1zFEciMfy+tLviqvA4aqrKKQ55mL1sK8XdAlQ98Ao6Oooi80Vdk20t1/4vIxSFvAR9zqxzqqaZRiCrNuymsTnB/Cd2ML1mM/eueo2G5nhW8+O6SJSgz2lGANUUdM/3ATp5AY/FWETTJe6fNtJ2PbFECme7lXwikaIu0saR+hbqIm0kEikEAoFAIBAIOiMiYgLBGURXzZZlucN5L5FI0dCaQFXTDYhdDpmTTTGeeH63pZmwQ5GyTDCUdifDTI6dbLGNViGlRWBmqmJja8y89rorB9KtwM2JhnjWvb1CHaKnuFvAkvoImOmKRorfyMHFtESTvPr2IS4f1oemlpglQtbYGkuvo/1YTVU5TqdMMqnhdMps2/WFOf64EWdnGYNUr61l5nUl3L/6Tcsa0e5Q6QAAIABJREFUmtuS5jWqlo5q5fs9OVM1jQjh/i8jPLVxD7OnDKNbnod8v5tEIsXBupasvehXFMDlEv/dCgQCgUAg6EBExASCM4jG1rhts+XG1o60OONl37CkDz++nXhSZfk6a0Pl5et2UZjv48l7ruTxu67k2Mk23vrgaLs1ujX69ei6dykKeSzRKlnSaWpNcvv1JeaYqqZR3xAnmUxRU1VO/15Bkgnd1g2xNaGZ83ROZ8wcz0jxu/UfLqb6D7VseHU/L+z4jMICP0lVQ5YlookkhQU+LhpQaIlSnWiMseWtg/xq+VYuGlDITVcNAjCjXJ3n610YyHKLfH5Lh+W8Issostzlehc8+RpI0L93ATWzyjm7Z5DehQFkWaKhNWG7Fw2tif/Kj4NAIBAIBILvMEKICQTfMJmpiMmUZps+l1l/ZPeyn8zRpLm+McqMB7Zw/+rXubrsHNpiSZwOmblTs3tgnWiK8+Azb5kix+91EfA6GXlxL/M6RZbpnu/h7sd2cOuSlzlwpDm3aFF1s4dX7tRH2bSbT6Y6xtm08xCzHtrCjKWbaYulaGhOEE+oOfulZX4N0NyWtJ3P6ZCZeV0Jj931AxbPGM2ft33K3oMRM3KlOOCjAydOud58n4ue3dM9vvIDHjNamauVQGejD4FAIBAIBAKRKyMQfIPYpSLOnjKMP/71Q9OMoijkxe2UiTTHSKY025f9+saorblFStWYV1FK70I/XreDH18+gGRSIxZPcP/0UciyhEOWaWiNse/zk/zqny81LeM1TWPBk68Trihl2qTBXDSgkI8OnGBgv5A51/Nb9nH3zcNzGGtIXNivgCn3vkj1zFE5jTo8bg+xuIbH5bAdx+9xsvhf3sxpKKLretbXm3d+njXfvIpSdHT6Fgf56/b99CkKMP3aEm79Bx1FlvC4ZdwOB0MG9sAhY7ter1vG6/ZwsjmOoy1BKOjB4ej4e5ZdK4G0g6S1obNAIBAIBAKBEGICwTeIXSri8nW7zFqmopCX+6eP4mRTx3Vr5k/Ietn/y/b9zLullOo/dAiHu386HAnJTFk0UvH+vO1Tpky8gKDPyT8vfJF5FaUcj7Ry0YBC5j+xwyI8JpT2o2ZtLcvmjCEW1/D3C+FyKsy/pZQlf6hl78GIxXo+816nS6I1nhaCT//1I6Zec0FHzZci43XJZPoMGnVfHx04wUPPvmOuFynt9miYjXQWOZIkmV8rsmzWcKHoVFeVkVJ1ZAnW/Ol97rxhKG1xjR+NPgdFkfG7ZN7ee5wL+ncnltBQtVQ6+uiQ6VMYoGZWOaqqoygSeV4XX9Rn13/175lnirECv8t2Lwr8oqGzQCAQCAQCK0KICQRfM5qm09gaJ5nScDpk8v1uM5UtV0phn6IgaxZMwOmQ0XW4a8VW87p3Pz5mvuyXnFfIP/5gIA5FwuVU0v2z1LS5RSKpsvCp1y0ib8X6XVROGmIaT/w+fCX/8qc9TL+2xNacYsnMMrrluanLaOBcFPKycNplLJ4xGkmSSCU1erXXlxnGGk6nxE8XvsSq8DhWb3yPO24Yxs4PjvLj8gDReAqv28Hxhjj5QTeRpkSWcFmzYDyfftHEn7d9yvRrSygKeU2zEaMh9ZSJ59OrMEBzW8LsneZyydy88GVzL5+cOw5V1bl39essnzPG0ojamOvSQT1ojWuoukZ4eUffs84mKccjbbapkUtnldMj5APA5XLQr8gq4Ar8LmHUIRAIBAKBIAvxdiAQfI105YKYSqmmWUXnKI/TIaNqOrF4CkWRmTZpMEvWvsXt15cw9PzidPRoVjmKAnev6BAPc6eO4IUdnxH0OfnR6AHmuJn3KbLM3KnDAZCQmH5tCU6nZCsIdV1n6PnFWSLtj3/9gOnXlqDrOomUhqph64po9P1asX4Xi2eMNq8xHBPVFLbipqaq3Ozt9cb7h7njhmGsWL8LgKW3ldPUkqC6U9phj5CHF3Yc6DS/hCylx22LaznnCq/cztypIyg5r5BNOw+ZJim/nT2GUNBDKqWh67Bo+ihUDTa8ss+8LtWpvYDL5aBICC+BQCAQCASnQJh1CARfI7lcEBta4jS0JFjzp/e544ZhFuOM+beU0hpLWlwRC0N+fh++kgF9QoRXbifP6wAdEol0Ot+6RVcxobQfS5/eyeSxA9nw6n5kOT3e7deXmPdNr9nMG+8fRpLkTu6DcaZNGmxZu5H219mMY1C/ED+5/FzCK7dTWb2JBU++ZjZrznyOmtvKQIJV4XEsmVkGGbb5hgNhV+6ENVXlbH3nEE9t3MMzL3xI5aQhlAzsgQSmCDOur15bSyKp8XLtQXP+cEUpPo+Co71uq6u56iJRc+8yzyVTGqmUxoGjTYRXbrcYn4wf0ZeikBeHLOq/BAKBQCAQfHXEn20Fgq+RTCdAg7pIlHhSRdd13txzjIbmBJWThhD0OWluS5IfcHP377ZlRW4evP1yDh9vZcWcMRyxSbH7SVl/fjS6P22xFGvmT0BRJGZPGUbPbn5LtKp0cC+zFixz/JqqcjZu3W8ZM+BRaItrZt3Vux8fI+j3sGK91Sq/NW5NT/R5HBxvyF7j/IrhLFn7FkC6jgtymFvIqKrGhlf3A7D3YITqtbXcdNUgLh/Wx3ZPG1oSLKwchSKDpkPA5yTP7yHl1swaN3tTEdkcQ8n405QRmYw0x7IiaUuf3sl900ZxTfmALJdLgUAgEAgEgtNBRMQEgq8Rp8PeBj3oUXC0W6QbIsPtkjn3rHwSSZWaqnIeufNy855Q0ENDc5wnnt+NBuT5XCyeMZo18ycwbdLgdN+uuEY8oZlRLiSdgqA7KxKk63qOyJDOijljWDN/AotnjKYo5OFoJGaJnA3oE+LcfnlZ97/78TGOtF/78LPvEE/YpwEOOCvE+BFpi3kVFcVBViQtXFGK3yXbWsiPvbQvR+pbbPf0eCSatrx/YAtVD24hFlcBcDhkYgkNn03UznBuNL43sgwNkxRdh1QOS3qHIluMOgQCgUAgEAi+CuINQiD4Ggl6XVkv/8vaTSP+sv1T5k4dQVHIyyN3Xp6VLihJsinGpkw8n+q1tUybNJhj7YInkUoLjbN75VNTVY7fLeNzy9x+fQl1kSh3r9hOQcCVJWgM98FMDIv1IxnCK5ajpgo1+/71m/ZRWJCOiP3ypku6TAOs/MlFrJk/ATQJNYUZSVsVHk9NVTk9Qh7uWLbVNt1R13XWvfRxVjrnvIpSszFz5vMYqKrGjfe+SM9OTat7hTzceO+LpijLDzhZs2ACj9w5hmRK464VW0mmdNv9ciiSEGECgUAgEAj+y4jURMH3lq7cDLsildKINMdIqToORaIg4KYllrQdpzmaYN1LH1lSDw2BM23SYAoL0qYVgK1roSEaFFlmQmk/BpyVrvW6t3IkyZTOotXbLal/vUIehp5fzMq7r0SWJRIpDU8ne/naPUdsLdbdTtkivDqLqeqZoyjuFjDrt040tnH3YzsoCnl58I5y6jNSEZ+aNz5nyqFdWmXPdkEE6ZqyukiUpmgKn0exuDECRJpjZs1Y0OcklkhREHTzy5suQZFl4qkk8YROKOA25zb6exlzGOupmVXOqnnjcciS2RMsz5+ew6jt2/DKPuZOHcHSp3da1ixSEgUCgUAgEPwtCCEm+F7SlZthV2LMMG4whIRhm54pLIxxNE0nmdK45ceDLU57q8Lj0iIs5OdXy9O29Ib4yMSIIE2v2WyaX6jtNWdel9MUYca1mQ6AmW6CQb8zHXWaVY7abm3vd8ssmVmGroMiS7zx/mFGXNTTsgYjklYXiVI9cxRej8sydriilP+16Co0naxUxEyr+a7EXua6ocMgxKjdunXJy9x01SCuHN4PVdPwehzmuNVra81x93xab/YeC1eU0qcwgNOpmM+S57Xv75XndeHxZP83mFnbt2nnIQAWVo7C6ZBxKFJWI2eBQCAQCASCr4oQYoLvJbncDA278lx0Nm4YN+LsLGGx+F/e5IHbymlosfbHevD2cm6ceAGqpjHgrBAfHThh3pcpegw6G0loasd1p3IANL6vXlub09yje76bZFI3xdVlF/e2rCGzX1lxt0DOiF1TWwK/x2FZz7Mv7gUwo1mSJFG750iW2Mtct7EuI2J37GQLAC/XHmTciH60xlIsePI1bhg/MGvcs3vlM79iOAPOCqFqGk3RBLKctpJPJFJ8Ud+CLOmW6Fqez16EQUdtX6YY2/1J/Sl/PgQCgUAgEAhOF/EnXcH3klxuhsmU1uV9KdVqdBH0OW3HSaQ0tr5ziIWVo3jynitZMrOMREqz1ID1Lgpy+/UlADS2xnIaSawKj+OpeePRdZ39X0YIV5TaGllkCrfMtbTmqPVKJnWLcHM6Jcsa1m/aRyjPlY6k5RR+OjVra23XY1jJK7KMrutcdnHvLtddU1VOUcjDZRf3JplMMe+J1ykKeZlz4yX8fsNuXE6ZRdNHMXxwTzS9o3dXWyxFY3OMwpC/Y38f387BuhYSiRQNrWlBPPuRrdy65GVz/5uiiZyfc77fzYKfjbR8Hgt+NpJ8vzvnPQKBQCAQCARfhTMiIhaNRgmHw+zZswdFUbjnnnv4wQ9+YHvthx9+yOLFi4lEIgDcc889XHHFFX/P5Qq+A3SOeECHXXlXOBSJu266hAv6dzcjK3bjeNwKlw/rw/2rXzejUJ0bBhsRpTULJqCqGnleR0fERpHxuGRmL9tqaYD81MY9TJs0mF4hj22qnccts2b+BHNtJxrbuoye6XTYx//0vpf4430T29ego8gSHkXmZCyO2+HMEbFLN4LOjJ5ZUhFdMr/73+/y5p5jFIW8rJgzxvY6nzv9rOGKUt764Gi7AUkZsUQKTdcpvagYj9OB0ylxojGedX+PAg+/eHRrdsSuPR3T9vlVayPmTGRZ4uyeefx29pivXEMoEAgEAoFAcDqcEUJszZo1BAIBXn75ZQ4cOMBNN93ESy+9hN/vt1zX1tbGbbfdxsMPP8zQoUNJpVI0Nzd/Q6sWfJsxIh6WGrFbRqJpOkfqW1AUmQK/C5fL+k8k6HXRuyhopulNmzSYeRWlZoPhopCXO24YRiqlm+YO0NF7amHlKLPmyBBDC558jbpIlHWLruqYSE+nT2be/8b7hy0iZuU9YztEkyLhd9kbYXSV9uh0Wo08frV8W7sRhQtVBR1wO5yoqLYCytsu/PZ/GWH/FxFL6p/bLfPpoQZunHgBUyYM4nhDjIWra7mvstQi9nxu2TTRqFlby8LKUcx6aIu51sfu+gE+j5Pwyu0smVmWs8Ysl9gyjDqyjUO6FlVyu4GHQCAQCAQCwdfBGSHE/v3f/52lS5cC0L9/fy6++GK2bt3Kj370I8t1f/nLX7j00ksZOnQoAA6Hg1AoZDtmU1MTTU1NlmNHjx79GlYv+DbSOeLhkCVaYkmzkbIhNPoVBSxirCnaUfc1fkRfLjynO40tMYsASWlqziiM0yGbLognGttQZJm6SJTH7hprK6Ieu2sstz30Co/dNRavy4nblW2y8dTGPRbXxM4iJVcUyu+Wiama2ZPMEE/Pb97Hhlf3W8Y80ZKiW77b8pwnGtv4fzKs37sXeGlsjWe5C776ziFKBvagem0tgGkXv3jGaG5dsilrjzo3Vfa6HKYxSVc90HKJrQK/vVFHgd/13/KzJBB8FcTvJoFAIBAYnBFC7PDhw5x11lnm97169bL9xfTJJ5/gcDiYNm0adXV1DB48mHvuuYf8/Pysa59++mkee+yxr3Xdgm83mRGPukgb9z/1hm1qm9SaIKXquJ2yRWBNHjuQA4cbzAjZhNJ+jL20Lw5ZIZ5UbYVBStWoenCLKQaQ0ulxdi6IyWSKPJ/PItwKgh6m12xmzfwJOc0zMjFs4I1eXYaI8rtljjVE0XQpS6D0KQpkjVl3so37n9pNXSTa5dx2xxdWjsKhSOZ+GPPIsmS7R5lNlWdPGQZSh/gyHBXtBFcuseVyOehXFGhPU9RNcdY52ikQ/D0Qv5sEAoFAYPB3eROZPHkyhw8ftj332muvnfY4mqbxxhtvsG7dOgoLC6mpqWHp0qXU1NRkXTt16lQmT55sOXb06FFuuummr7Z4wRnNf7UXWGdy1xGlUwdDQQ8/veZCenbzm0JAkeGC/t1NETb8op7Mf2IHi34+mn/7D/veU//2H/vMsQ3x8sidl9v27HI6HVl28UGv45SuiZkYKYjv7T9B/94F5vHNb3/BZRf3PqWYM8b0uDpcEU/HsTHzuKJIOJ0y1VVlaJqOIst8UddEXo5Ild/nZNW88bja6/VUtSPalcsWPxRwU+B35RRbLpeDIiG8BGcA4neTQCAQCAz+Lm8mGzZs6PJ87969+fLLL+nWrRsAR44cYeTIkVnX9erVi5EjR1JUVATAT37yE+bNm2c7Zl5eHnl5eX/jygVnMv/VXmB2dK4jGtQvxJSJ5wMSlZOG4HUrLF+3ixvGDzSFgKqBrGnMnTqcfL/HbHQMsPuTeiDde0qRQdPB73WY9WHQIV4KQ16SSWtqXU67+Fnlp6z76hx5OnayhSVr3zKvqZlVzmUX90bVNEJBj6XZ9PNb9lnEnDFmLJHKEKCnnjvzuEOROFLfyvJ1u6iLRBnUL8SCW0tJJDRCQZdZL5arP1cikTL3/NkX9+LzOCy1caGA2+wZJsSW4ExH/G4SCAQCgcEZYV//wx/+kPXr1wNw4MAB3nvvPS6//PKs6370ox+xe/duWlrS/YW2bt3KoEGD/q5rFZw55OoF1tgaN6/RNJ1Ic4y6SBuR5hiaZu+UZ9QRFYW8DOoX4t7KUvoV5wE6556VT8/ufuoiUX73r7tNU4qg30Ge14EkyRZbelmBuVNHsPuTenQ0nA4FhyKRSuk8dtdYc850Sp3MiYY48WTSYh2fM+qkavQMefC7ZVu7e787bQO/KjyOmqpyeoQ8PLruXes1LhkkcDkVfnrNhaze+B7hlTtYvfE9fnrNhbgMUZMxZlE3H7OnDKMo5DUt9DvPjaTbHk+kUvQs9DP/lvS5n//jxdQ3xAiv3E7FopcJr9xOayxJ0OuybZLscCj0bE+tXBUez2VDeuNxy4QCbopCPkvjZoFAIBAIBIJvC2fEn49vvfVW5s6dy4QJE5BlmUWLFhEIpOtUli9fTlFRETfeeCO9e/dm2rRpTJkyBUmS6NOnD7/5zW++4dULvilO1QvMLmI275ZSgj4nIJHn7Wjom1lHlOk+eG/lSLyudB+sNfMnEE0k+d36/6RnYQCf20me35Xl4nfgcBO79x1n+ZwxHI3EzNovQ5isW3QVTdFUulbLJRN+vNY07DDquFxOhYWVI/G4HGakKtIcQ5E7HAbXLbrK4j7od8tMaT9XFPJSXVXGwSNNltowRcF8tgU/G2lGqYy1L1+3iwduKzfr0uKpJK1xjdf+8zDjSvu1pxdCwKt0pAHKEvu/jDBn2VuMH9GX+6ala8KM+VQV3A6Zgh4B0xwl/Lh9tC+aTFnSTIGsz/COG4bx522fMmXiBfQpDORsyiwQCAQCgUBwJnNGvMH4fD5WrFhhe2727NmW76+99lquvfbav8eyBGc4p+oFZhcxq/5DLb+uHInH6SDSEkOJyuT7XLjdDrOOqC7SZoqwZEq3CKmF0y7jl/98CRISqqrZRq7WvfQxM68roS1HI+WaqnKm12w2hdncqcP5xaPb+D+vfMotP7mIZEqioTnOE8/vNuedPWUYBUE3JxrbzHmmtLsPPnj75dQ3RAmv7Eg/nD1lGB6Xgsedtn0PBT1MmXg+vQoDqGo6JdHrdtgK2aMn2giv3MHt15cw9PxiVE3jyuH9+HD/CXoXBXnrg6OMGdaHX//+NRbPHE1TW5KnNu4B0imZ15QNwOHLrm/LCzgJ+T3UN0ZzRvsMgWakmXbLc2d9hivW76Jy0hBTvAkhJhAIBAKB4NuIeIMRfGux7QX2s5FmJMUuYjahtB+plM781TssIqFHgQe/J50aZxh32DoZplTiCdU04Vgzf0KWGIw0xygKeWiJpro01MgUZuNH9KXixxdRF4nR0BwzRZhx3fJ1u3jwtnISSS2rBszjkOiW72HmdSX0KQ4iI6FqGvGkxrZdXxAKerj56gtZsX6Xed+KOWNoiqZshWxzW5Lbry9hQJ9QlpjSdY2Xaw8yuuQs6iJRjhxvoU9xnml/73XLpDT41fLs5spLZpYRaYnn7uvVbuVv3LP4X96kZpZ9f7Cgz9ku3nI3ZRYIBAKBQCA4kxFCTPCtpXMvMCOdTVU16hvj6Hp2b6mxl/Zl/hM7bEXC8YYm+vfMM4WC2yVb0vre/fgYAa+LeSs77m9sjdm6+EXjWpemFgaGMPvHHwwknkhH0ObceImt+EikNPKCTsuaUHRa4+nIXCql0tKWtKxl7tQRXDakNw8/+7blmVvjGmv+9D533DDMItDmVZTy3EsfMf3akpyOinOnjmDDK/t45M7L0/Vxj1vFWlFGL7PM9eu6jqpCKOC23bPG1ljWPVqO/mDNbcnTasosEAgEAoFAcKYihJjgW01mLzCAZFLl82PN1KytJRT0MHvKMLMOqijkzdkQWNd1atbWsnRWOT6XzIo5Y2wbLGua9f5fPLqNR+683CKOWqJxVE0jkVJtBYfTKbFm/gTzeo9bJpnSSCTTkThDZHQWH/UNMTRdzxJOxyOtDDgrxICzQlniaenTO1k8oyzrmVVN4809x2hoTlhcE4N+F9OvLbGkXFbPHEVxt4AZyfN7HUwYeTYBr5svjzcTCqaFV2atV+f1jxxcjCLLqJpONJnd18zhlLhr+TbLGotCXlxOJSvqadSIhStKyfOKpswCgUAgEAi+nQghJvjW0VXvsEhLnJq1tSyfM4a2uAaSTk1VObquo+l6zibCiizzmxmjSKk6TW0pHA7ZUt9Vcl4h7nZ3vpV3X8m//cc+04p+6dNvUTOrnPqGNrrleZn9yFbWzJ/AotWvcW/lyKxGynYCryjkQVXTa3l+yz7bSNUTz+8G6CScnNy57C3+16KrcqZCyjJZz2xE6/YejFC9ttbch5qqcm5d8rKZcnnnlKF4Pa6sFEUJnek1m0xh9MwLH7L3YMRMF8wUoCMHFzNl4gWWMebfMhKHQzKbaI8cXJwlWhf8bCQFATcFATe/nT2GRFJFktKf8/TJJRazFYFAIBAIBIJvG6f1FnP48GH27NnDeeedxznnnGM595e//IUf//jHX8viBILOnKp3mKpqplthZ7HTK+QhpWMbpXrj/cNcdnFvdF2nsmYzq8LjTOEyfkRfri47h/ueet2S8gdpc4q5U0v5y7ZPGXNJXzOt8d2PjxGuKGXR6jct8yBluywaKX/HTraYa3vmhQ+ZeV0JvQsD6LqOy6W02/BHLcJpycwyfh++EglyikxNg7lTS1n6dMczG/b3nffB406nTSa1dDQvz+fqsulzpnlG9dpaM13w7OKgxVWx8xhL/vAmD91+uaUBc57XlZVmagjszKinQCAQCAQCwXeBUwqxrVu3cuedd9KnTx8+//xzJk+ezK9//WsUJR0duPfee4UQE9gSj6dobEugqhqK0uFOeLokkyqRlrh5fyjgpiWWtO0d9tvZYwgFPSiKbLoVTijtx9hL+6LrOpIkkdIhntDonu9mycwy8/grbx/i2Rf3MuKiniDB/IrhlvquyWMHcv/q17NS/mqqypk8VmXDK+no2I7dR/jt7DGmwHnkzjFZNWZDzuuR08Dj0XXvcueUoZZ7PG6Zm+59kWmTBpvjZjogOhUJJAdtcY2/bt9PeGopNRmCKzy1lP+9aS8/GN6XmdeVmHb4C1fXcm9laZb9/ZFIjKKQl0hjnMPHm7tcb+b3QZ/TFHP5PhdOp0JRyNd+vs12jJSmm9cYiAiXQCAQCASC7wunfOtZtmwZjzzyCGPHjqW+vp677rqLqqoqfve73+FyudB14VomyCYeT3HoeEtWxKVvj8BpibHMWq/M+7vn2xtBGL3DQgE39Y1RJpT2Y/hFPU1jjo773SSTusWwAzrSE8Mrt1NTVY7TKZnCR5HJKUZmPbTFciwWT9E938N900YRT2iWSBBg67Jozt0pQjV36gje/biBlXdfme7LpaRr1wxzjrTLYBsupwOfx4HP48Tvc3DftFHIEmg6OBwSxd18/PGv6Qhbdcb4nx1u5s/bPmX6tSU0tSVwuz18sL+eJTPLkCRY9tw7DD2/+JSGI0UhLz3a0xr9bjnr8z1VmwGBQCAQCASC7yOnfBM6ePAgY8eOBaCwsJCnnnoKn8/H9OnTiUajXd8s+N7S2JawTcFrbEuc1v1GrVfn+5NJjZGDiy3XZr7UO50KiiIz9tK+Oe7X8btlFk67jIWVI6mpKmNh5UgWTrsMv1tm2ZwxqJrGT+97ie4F7rQocygUhbxZc2aKkcxjigzxpGqm/xn3FoW8KA6yjoUrSlEUCAVd/Obno3nynitZMWcM+QE3Q87rgdupEPA6cLc3mg6v3M70ms2EV27H6XTQ2JJu9Dz20r4seOI1qh7cwowHtlD14BYWPPEaYy/ta1rqL54xmgduK6dy0hCzKXJjazqNM57Q6N87n/lP7OChZ95m9pRhnGhss12v0c/MqF/TdEDWiad06iJtRJpjaFr6jzRGm4HMMTLbDAgEAoFAIBB8HzllaCI/P58jR47Qq1ev9A0OB4888gjz5s3jlltuQctIURJ89+nKKCMToxdXJl+l71PO+zWNGyYMAuDNPcfMl/qAx8nxSBspVcehSDgdEjWzykCXOqzeJT1tbd+cJJXSLQ2T51WUsmz9u0yZeAG9Qp60S2EkxtsfHmPCyH7MnTrC7B1miBG3S2bN/AmkVA1V03E4JNyutDNgKOCioS2VZTfvUeQsx0CPWyaW0HjuxY/YtPMQy38xhiMRNSsamOfLXV+W0lQkpJyOkPdNG0VLLEWe14Eiy4SCbqZfW0Jja4xfPLrN3PM//vVD0wxE03W6F/hwOqUsV8ju+T4ev+sHeNqjX4pxAgzjAAAgAElEQVQs0dSSYPEf7Gv37NoM2P3cCAQCgUAgEHxfOKUQGzVqFM8//zy33XabeUySJGpqarj33nv5z//8z691gYIzh1MZZWSSs2nvafZ9ynW/JEksfXon900bxa3/MARZlijwu7LSGHPZz/cKeWiJS8xbbe0lVr22lkXTR+F0KDRFU9RUleN1y1xT1p9oQiPgdZrH2uIqew+cRNf1LHG27/MIfYqDLPlDx7yGq2CkOUZNVTlNbQm657sJL3/Ndp0Br9vWIGPxjNE5xKmOQ1bMPbJLI1RkiCaSTKnezJr5E1jw5Gu210WaY6YZCMD900aSF/Bk7eP+LyMsWfsWq8Lj6VXoJ9IcM0WYsa7M2r3ObQYEAoFAIBAIvu+cUogtXLgQVVV54YUXuPrqqy3nFi1aRDKZ/NoWJzizaGyNd2mUkUm+z2XrypfvS/d9OpWRR66mv6+8fcgS6ZIkiSabNMjWuGbWOxmmHLV7jpB3cW+Ot/e8yqQuEkWSJIvF+iNzxnA8h5i7oH/3nG6CnY9nugqqmmZed9+0UTRF1XSELMNhMLOHV+b6cjeITq97Qmk/2z3b/2WE7gU+lj69E4CPDpywvc7OSTEv4KFnpwie2yXjdSmsvPtKPO60AEym7Nds1O4JBAKBQCAQCKycUoi5XOkX54cffhi/388VV1xhnnvkkUf48MMPv77VCc4ovsrLttvtoG+PgMWe3BBbp2Pk4XQqGRbomulueOWIvjS1Ji332kWKnE6JiwYUZpl1OJ1SzobJh+tbLAIq3u6+aCe2dHRKzitk8tiBKIqEU5GRFUgm0w2fx4/omz4ng6qB36swbdJgFFlmzo2XoKOz4z+/5OJzC/n8SJzCkN+cK5ehhzeH5fwXdU3URaI8++JegHbxCYoisWXnQZ59cS/jR/RlycwyVE1HVXUaW6JZ6ZEul5O8gGqKV0WWeeP9w8zZuIcHbyujIM9DY2ucpSutUcCg1yUMOQQCgUAgEAi+IqftFb1q1SoqKyt56KGHGD58ODU1NezcuZOnn37661yf4Aziq75su90OimwcEnMZedTMKrdc73QqhAJuTjbHSaVURpecBbrEupc+YvaUYXTP96Jp9k2ak0k9p4g6VcNkg1yRKVXTcLsUri47x7S1N1wONU1n8hUDuHxYH8u5hdMuY/CAQkvEbV5FKT1DHlrjvnSkrN2tsb4haiu4jp5s40RDtoCas+xVc33PvriXZ1/cy6rweJpaE7xcexBI9zub/IPzSKY0qjPSJufdUkpxgQefN12zVeBz09CaQFV14kmVtliKeRWlqBooksz6l/dm7enSWeV0z0+nqXZOWxWGHAKBQCAQCAT2nLYQO/fcc3nssceoqqrikksu4ciRI/zxj38kEAh8nesTnEEY7ndf5WXbztzjdIw8NE2nJRqnrlNqYM2sMq4ffz7xhMq9v0/XOU2+YoApXG4YP5Ch5xebwubdj4/xu3/d3TGHprP3YMRsmHxWjyBfHm+mIOgm0hyzrCl3KqBMMqWZ9WHG2Euf3sniGWVcUz6AeSutNWh1J9tMcxDjWPXaWqqrysxrDcFVFPKhg0VwZZpqFIW8Zqpjbjt8iVCetV/a7n119CoMsnhGGYoi4XbKBH0dphmplMbBuo5I5cjBxUyZeIFl/++4YRgNzQn2HoyYz5FqF8PCkEMgEAgEAoHg9OlSiL3++utZx/7n//yfrF+/nvvuu4/33nsPSBt6CL77fNWX7VzmHn6vs0sjD+O+gjw3eT4Xi2eMNhsio0s0tyYsombDq/sBWDZnDHXt9u6Zwub260v43b/ubjf7SM8XaY5REPSQ51VQivNwOaSsKJQ7RyrgicY28oP2/cx0dFJqdt8xj8uRU3zWRaIM6hfiuisHIklQ3xCz9PsKV5Sy/uWPzX0yzD+KQl7bui7D0TGe0FBVDVWD13Z/wYXndOfRde9YPougr0NER5pjlijiuBFnZ0UVM+vdjPU42j9/YcghEAgEAoFAcPp0KcTmz59ve9zlclFdXQ2kHRQ3b978378ywRnJV3nZzmXu8eicMRbxsPKesbgdzvZIWRt+l8yho02oWtBWYNiJmg2v7ufH5efmTEc07ve6FVaFx6HIMn63bHEsfPC2svYoVNo043BdCw6HbIlMnWhsI6nqaJqeMxKFnu1eGEukcrhAwmN3jcXrcppz2JqAzCrnZz/ROFzfYjowhitKaU2phIIuyxr9bpnDJ6MWR8fFM0ZbnBKNz8KowVMUGadDtqwv6HPaisf8gMtcf7iiVIgvgUAgEAgEgv8CXQqxLVu2/L3WIfgOkUppRJpjpFSNhZWj2PDKPjbtPASkX+QP1bXSq4ePmlnl+NubFN+3yhrF6sqVMJZIcddNl3BB/+6m+PjowIkua7qWzCzD5ZL5xaNbCQU9TJl4Pmf1CNLQHCPUHt26+7Ed6fTHqnL8bhnyfSgKgISOhKrrFIV8GGG1zpGouVNH8Nft+5n8g4FZ53q014RVd0rzi8aTFBd4aY13GJ48eHs5FYtetjxDPKHi8yj0K87jlzddYgquTw43Z9W6uV2erLTJSHPcdm/qG6Lc89h2c9+nTRrMUxv3AOQ0NSks8LJq3ngc7aLcIQw5BAKBQCAQCL4yp10jJhCcDqmUxoGjTVkCBWDTzkMUhbw0tiR4+Nm3qZlVTmsi7Uw4obQfYy/ta9YzOZ32zYlVTePcvvmcaIhnpSDm7F0myzicEqmkbqY5fnTgBNNrNlEU8rL09nJ0FYsBxpFIjFDQhaqCqqlIksTOPUe48JzuvLDjM/5p/PmEgi4WVo4ynRENwfmj0QMozPfwmxmjkaC9mTSoLs1sltzcluSZFz7k/spS235n6xZdxZR7XzSfoS2W5GRTzIyG/Xb2GE62JOnRLhzjqRRfHGvluZc+YsrEC7hh/ECzNg6gsSVhuzeNLQlzbw2hu3HrfuoiUTbv/DxLUC742UgK872i9ksgEAgEAoHgb0QIMcF/G0ZvsM7pgUuf3snCylHs/qSeO24YxrETLWkrdTUdBZpQ2o/hF/XMsprPjM5AhlFGDkfEZZ1SHo1xPjpwgt5FQda99BFv7jlmqR3L87tobE6v2YiU9SoMUBBwoWo6IPHeJ8dZv2kf4YpSPthf325LL6OqmM6I1jWmLfKrHrRGlOdVlLJ643vURaLMrxjO3TcPp7ULi/zH7hrLotVvMq+iFJ/HyYPP7GDmdSWcc1YeiaSKLEEqpfP/137K5cP6ULvnCG/uOcZnh5uoqSq3zL155+e2EblnXuhoP2GYmSydVU5K03HIEgUBtzDgEAgEAoFAIPgaEEJM8N9CLJaisS2Opum2kSynQ2Jh5SgOH29iQJ+QKbrWzJ/A2Ev7mt8b13eOzhjiSUNHV+3nUIBQnrVeynBNNFIOz+uT7qtljA8QXrmdUNDDzVdfaEnzu+OGYfx526dmhKlmba0pIN/9+BijhvSyFX5et4ymZ9eQGWKosSVGXsBDeOV22x5oRuTP63KysHIUHrdMMplOuzyndz6RpnhWxHHbri+YPHYgm3YeMu835i8KeblhwiB2fnDUjMgVhXys+j+7TfdD6DBM6RHyWdYTcip/88+HQCAQCAQCgcCKEGKCv5lUSuOL+rTt+f3TR9mmwCVTOvevfp2aWeWEH99u2sz73TJN0VROMZJpnuF0ypxoiJLnd9vO0RrXCK/czpwbLyG8ckfWePWNUYZf1BNI99tSNc08VzlpiCnCjGOGQ6Ah2n73r7vRdR0dCPo96ED3ArdF+DldErv2HmfwuYVZvcpunHgBLpdEn6I8M62yK4t8VdP44wt7mH5tCapm7GN2BM2IOCpyxv2KnI5sqem9e+6lj8w6PYCbrhrElIkX8NnhJouIDAVE3y+BQCAQCASCvweiyl7wN5Npe94WTzJ36giKQl4AM2Kz4ZV9hIIeVFXjhvEDGdAnRHjldqbc+6IpRjJJOwpKJFWN1liS1niSXy3fypxHt6Kitvfb6pgjXFFqmnUYJhOdx2tsSacgjr20ryl2jLlzOQT2KQow58ZL0IE1C8ajyDIhv5M+RQGaW5MkkzpOZ8c/o53vH+WhZ98hkVTpUxRg6W3lPDVvPJWThlAQdHGyMWExFVEUbJ9FcaZry6ZMvAC/W2ZT7QHuuGEYao6Io6JIplgLV5SS73MRCnpojSWBdEPnTF6uPUiPAg81s8pZFR5Pzaxyzi4O4hTRL4FAIBAIBIK/CyIiJjhtOtwQdRRFwtnulqfT0TcrkdDYvPMgCytH4XRIJFO6aWIxr6IUSZIYen6xxRFxy1sHbVP8avccYej5xWZKYCjoYdqkwbS2qaaIUNsjPh63TCyRTsf7/Egj1VVlpFLpHlqbag9wxSV9zd5juq4TrijF75ZJtH/d0ByzjUwdO9nK/avfzEpV7BXyMOXeF02h+cKOz8yIU1HIi8up8NnhRnoVBnA7ZZ7fso+7bx7OivW7qJlVbs5Vsehl1i26yhJVU5wQaUzQK+TB7/bQFE9x4TmF/Hnbp0y7dojtOh2KhMelUDOrnAK/C5fLwfFIGzVra7m3cqR9rzGHg/yA+C9AIBAIBAKB4JtARMQEpyQWSxFpjnHgaBNzH9/O9JpNhB/fzonGGLqug6wzcnAxkLY83/1JPbMe2sKBI83cv/p1U6AEfU5eeftQls38sy/upT7SSk1VOavC41gys4wP9tdz4Tnd2fDKPtNE4uarL2TAWSFq1tbikKCpNYHfm47gtEZTAKyYM4ZLLyxm3sodzHhgC/evfp0xl/SlIM/F3oMRMxJWFPLQmtD41aPbqI+0ck7vfOZ1ikzNnjKMdS+lGykbqYpGk2PDbt5IDfzHHww071s47TIamuM88fxuZizdzD2Pbefmqy9E1dPPvf+LiCUKdseyrXjdspmOqCbB6ZC4Y9lWjkRi+FwO+vcKMv3aEvxuxTaC5nBIBL3p2i+XKy2uUu21dLc99ApOh2Tub01VOX0KA3g8QoQJBAKBQHAmkEiq3/QSgDNnHd8XxJuYoEtisRRf1Lfgdiq27n73TRtFPKky6/r/wWeHt/H8ln3MnjKM5et2mV+/9cFRxpf2x+GQKPsfZ+FxO7KiOk9t3MNvZ4+BZNpG/rKLe6MocOPEC7h8aG9UVWfF+l2muUVrXKMo5KGuk/V7dVVZVg8toyGyIVpaonE8bm97A+ko/9+WT7n5ahd/3vYplZOGcFYPP26Xg4eeectiZlEXiZopjEZ9mXHcochmo2hN17n/qTey6s0WVqbr55asfYv5FcMtUbB9hxro3SNoaboMmPVpiizjcEj8ZccBjp1sY8nMMnQds3bO73aYAszAoUjmPt/20CtAWrgtnVUuRJhAIBAIBGcQLqfCT3658ZteBn9+eNI3vYTvFeJt7HtCZlqhQzn9RrxN0XRd1aLpo2xrk2SpQywY5hBOp8TdNw8n6Hfhdsv4PH1Nm/eikJcVc8bYpuIpMihumbpIhwX+yMHF3PoPFyNJUruDYFrEqZpGLE6WOEylcjR1VjVWzBlDUzxFPKG2i5h0fdh1Vw40TTXe3HMMgIWVI4k0xyzjFIW8Zv2ZIsuW45qm43TIhFduZ9HP7Z0QY4kU4YpSmlpi9CnKM5+/JRonL+BB1+3rv1RNY8GTrzF36giOnWxj9yf1XFM+gLyAk5DfnbOuKxT02KYkhoKeU37uAoFAIBAIBIKvFyHEvgfYNVkOV5TSv2feKcWYETUyjCA61ybJspS2dG8XFT6PgtflQNfA45Jpi6v/t707D2yqTPcH/j0na5e0DZaW1iIMFFG2EYQWaEFhiihbKVxGuL3K7kgRkfm5UGBEEFpcZry4gBeRAR2vMA4iwjhXWQQEhILLFJFBRJFCWxaJXbOf8/sj5NA0CbRMmib0+/mrTU5OnnM4JOfp877P65EsPT8r0+cCxklGPR59aQ8K8zKV5zrfYsTIAR2VKpF72xdnD4TdLnkNcQTgN06HU0aNVcLuw2cwIqM9aq0S/nXqZ+RPSoPN7kSP1PjL64O59rG/+CzmTkzDsnWe625t+eykMr/Mve/8SWmwS06cO1+Nl+YMRI3Z4TOG2GgtBEFAklGPS9V2vP/pCRR/f9H1ersDqiitz9cJgqAMgSzMy8SEewCdVkSkTnPV5hpqtYj2bWI81gVraAJORERERE2Ld2QtQN2uhsCV4Xr1Kz5ukiTDVGXBeVMtVCpX1WjTrhNe3RDzJ6YBAjB/5T48VLgD+Sv24sIvFlRZbIiJ1MJslbwqVE6ndxXLPefKXf1xP1e3UlV32+paOxyS02e3xe1Fp7zmUM2d2Afvf3oCTknGyIz2KDdZ4JQkvPDOl/jhjAlJ8VEYlvErLFr9uTKv7M7bE6HRCJiW3R2r52WhMC8TSfGReGh0DyQZ9fi5yo7X5/4GBXkZ+OGMCVabE5IMWGwS3vzwGzx6f0+PGOZNSsMLb3+B/Nf2osxkAQQJwzJ+hR6p8ShcW4Sb4iIRoRV9zv/a9UWJcvxOWUZCq0jERusb1OFQrRbR2hiJpJui0NoYySSMiIiIKESwItYCOPwsgOyQZK9tJUnGT+WVWLLmIM6bzFjx1N3K8DYAWPJwf2WfURFqPPHyZz4XYq6W7a7GE/UqVL6qWHXnXNVdV8tfS3lRAH5XuBPrFw/1Gno3sFdbJBn1eGZ6P4iCq7q1aZer8jThnttQY5WULowJxgi88l4xVnaI95pXtmzdISx6qB8KLh93gjEChTMzEakTUWuToFGLOHuhCus/+Q7HT5vQ+RYjxt9zK5xOCQePnsMvVTZl8eSqWjsMURplvpn7HD2zai8WTuuH7YdK4HTKOGeyICU+WukGKQjAri9K8M7Hx5UY1KJwnVcBEREREYUS/nm8BXA3bajL3019RY1VScIAIO+5XdBpBRTOzMRvszpDpRJhjNZDp1XBanP6TaocTgmCIGB70SmPSpq/NcNUoog35w/xWFfL33pgzst9Mlzt4/Ue3QATjHrYJBlWuxNPr/ocM1/YqQz/02gFJRHc9UWJ8j4C4PM4BEFQ3jN/Uhp0GhFWScKlKgt+KvsFcQa9UlU0VVkQZ9ArFcTjp00oWFuE/BX7sHrzEUAWPPbtjkMluo9fQOHaIlSabUgwRqJ1XASqzXZsKzrtEQPndxERERHdGFgRu8FJkgynLGPuxD5K1edqN/V2H80u8p7bhTfmZSlrh2m1KmjsIiRJ9junSZKAQ9+WYWCvtqistrjW9XLKiNKJPhtIqFTAk6/sdcUVq0VhXqZr2OPkNCz985Vt501Ow6ZdJ5T3m3N5Xlm12e5xfFcagrjWGdNoBTy48BO8OX8IEowRSpVp6YwMiILg8zg0lzshCoKAXV+UYFvR6cvnTYfYKB1kWUZhXiY0GgF2u4yvvzuH1LZxPo+vosbisW93QirJrsQzQidebiriqlJyfhcR0Y3DZndC24Dh5ETUsjARu8FV1Fgxf8U+9EiNx8Jp/aASAUkGYqM1Pm/qNWrRZ1Jy5nwVFq0+iJy7OmBEZkc4JQlajcpn0iELEux2GV06xOPbHy6ib7dkjwWc1z49xCNJUqmASYu3AYDSaj5KJ0ICYLGJmDG2B/RaNSw2BzRqEQPuSMb2QyXK+2m0Aj7be8Z1fCoBapWACrMdoiACcC0+XVXtwJ+fHgJZcg2vdDhlvP/pCcxfuQ9LZvT3kxwKOH2uWhl+qMSXl4n5K/d6bHv423IlufvLIs8FmvU6EXNe2qOcy/xJabA67MiflIboSA2iBTU+P1LmStBUVypn7vldREQU3tianIh8YSJ2g3NXuLYfKlEWVgaANxcMQUyU9/axUToszcuA3S5BFFxJm1OW8OqGfyKrT1sM6JmiJFUJxggUPpKhJB2CIKDoaBm6dIiHLEuIj4tAWtckr3lhhWsPY+zgTmifZMDUpds93t9dFfqlxg6NWuWxHhdwea7W5aGIKlGERitAkmSMGNARTqcr8amosUAQRBSu/Rw9UuMxPLMD9nxZggE9U7yqgg8O7wKVCOi1aiU5FEXg73t/wKbdPyiNNg5dTrTqNxRxz4tbOiMD73x8HAnGCHz7owkbd57A2MGdYIjU4Fdtrsz7UokConQiaqwSInWA3S7h6+/OYcP2E65qW7QuwFcAEREREYUiJmI3OH8VLo2fIW6SJKO61u5RHZo7MQ2/G9MNsVF6OCUJhXmZ+OGsCUvXHnZVfeAabiEKAnp3ScQfXv8chXmZsNokzF+5T2mM4W5J/8Cw2/Hyhq8wLbu7z9jOXnBV31bl/8bPHDQZR76/AL1Wjdva3wQIMiALMFsdiNRr0ComAk++4moiknN3Jyxa/TmWzsjA/JX7vBKoJQ/3R43FoRzviqfuhkZQ477+v8KwjA44VfoLtBoV7uqVgoE9U/B9iQkqUcTrTw1WGoFsP1QCWZbxxrwsyLIMURTw2H/2xML/cSWCYwZ1glolQKUSsfWzk9i0+wcAQO7Qzrj7zrbonpqAOzonwhjtf00wIiIiIrqxhEQiZjabkZ+fj6NHj0KlUuGpp57CoEGDvLaTJAkFBQXYv38/VCoVEhISUFBQgMTExGaIOjzERumwYEq60oAjwRiBBVPSERvlu/JSWWPFL1UWzJnQC1W1dmzceQLL1hWhIC/DoxKWPykN7yweivMmCwrXfu7x+LMP94NTkrD7yzPIn5SGoqNlytC/ui3pN+48gUfv76n8nmCMwOzxPfHW348B8Oyg6OYevpfeLQkXfrFg1QfFGDmgo8c+5k1Kw/1ZnfDKe8VQqwXcn9XJ72LJgKAkYblDO8Nqk/HM2n0ex/PV8XN4Y/NR5fete08q1bK5E/vAEKmBShS9zs/07K64KS4Sz7zheX4AYNPuH7Ct6DTSuyWhXZsYiOyGSERERNSihMTM/zfffBPR0dHYtm0bXn/9dSxYsAA1NTVe2+3cuRPFxcX48MMPsWXLFqSmpmLlypXNEHH4EEUB7drE4MXZA7F+8VAUzsyEXqvCxQozLBaHx7YOhwSr3YlIvavl+o5DP+GBYbfDaNB7tMB3V5Msl1vB139cLaqgEkVsKzqNmGgNBvRMwU2xOhTmZaJ9kkHZ/vhpE97+6BimZXfHu4td86pax0XgyQd649Un7sYPZ00+19WK0IpQC675Wr/p085rrbGCtUXontoauUM7Qy2KuOPWRDicsp9ujYLy2rvvbOvzeNK6Jnn8npXWXvl92bpDGJ7ZAQe+KfV6XYebjV5t8QvXFmHEgI54c8EQvDh7IJMwIiIiohYqJCpi//jHP7Bs2TIAQPv27dGtWzfs2bMH9913n9e2NpsNVqsVoiiipqYGKSkpwQ437IiigAiNGmcuVns1pEgy6qHVaqBSiTh9rtKjQ+Gj9/fEls9OXl4fy3PNsfpzpTwfl6FRC1jycAZECKg22/DMKtdcr4XT0j2qXMdPm5CSGIlyk8U7ttbREEV4NL44c74SANA6To/zJjOMMTqfMZiqrLj7zrZQqQCbXcL7n57w2TlSoxGRc1cHbNr9g9+qmSzLHr+rRM/nJQl4Y/PRRp2fpJt8TNAjIiIiohYjJBKx0tJS3HzzzcrvSUlJKC8v99pu8ODBKCoqQmZmJvR6PTp06ICnn37a5z4rKytRWVnp8ZivfYYrq9WBilqbq0GFSkSEVkS12XF5nS/vuUaVZpvPak9hXibKTFVoZdApSZj7efc8ruT4aPzf5z967K9uC3avoYOigP3FpXhj81Gkd03E5JHd8MQDvWGqtGLfP0sxe3xPLF9/ZSihTq3BM6v2+owNgEfHRfd7FOZlIr1rIpLjI/Hm/CFKonbuUjX+e/3XqKi2wWjQw+l0DXEs/v4iAHh0joyO1ODx5XuU4YKCnzb27vXE3L+71zFTjlfl+3X+zg8XZSZquW707yYiImq4oCRiOTk5KC0t9fnc/v37G7yfo0eP4uTJk9izZw+ioqKwdOlSLFu2zGcytm7dOrz66qvXHXMos1odKLngXd26aKrBG5uPIn9SGtolGjySMafTX3VGuty0IsPn87HRWug0Igb2aot9xWUe7+dvTTAnnEjrmoQ9X5Vi5ICOePp/9ntU2T49XIJnf9cfoihAluWrVI4k5Wfv52TMvv8OnDNZ8O0PF5XujImtovHSnIF4ecPXmJbdHU44EaXTKHHWbXt/7OhFj6RPoxF8Hk/R0TIAV4ZGbi865fF7bKTW5+si/JwfLspM1HLdyN9NRETUOEFJxDZt2nTV55OTk3H27Fm0atUKAFBWVob09HSf++nbty8MBgMAYNSoUZg3b57PfU6cOBE5OTkej5WXlyM3N/d6DiGkVNT6r24pP8/MREKdNahUKn/VKxE9UuMhir6rOkaDDivfL0ZWn7YeQwRFFfDoS3vqLJzsetwhOfHQ0p1YlZ+FJx64E/NW7POqss0Y2wOCAMiyjL9u/w4T7rnNb2wQ4PM5rUaE2SohKlKNLh3ilY6I7mTnoTHdEaFR4ZzJjgUrPsf9WZ084vz6u3N45b1iJS67w4n8FZ/jxccGeLTjL71QhfRuSejTJQlqlYDYKC1GDuiI+zI6eCyy3C7RcLlFveSxAPSSGf25KDMRKW7k7yYiImqckBiaeO+992LDhg3o3r07Tp06hSNHjuCPf/yj13YpKSnYt28fJk2aBI1Gg927d6NTp04+9xkTE4OYmJimDr1ZuKtbBTP6IbFVtJJcROhcN/hGgx6yDJw31UKjFhEbpUNMhO+qTbXZipy7U6ESgWd/1x+lF10LGMcZtJg6qhvMVgd+06cd/rbzBI6fNinDAp96xTVcsMri9GgLD7iH8wEXTGaf1ayk+GjodWrUmh0o/v4iRt9t9xmbTifi4JEyr+cWTu+LX6qsKLi8fpfPpHRmJsx1mom4k64VTw7Ggte9hzpq1CoU5mXiTHkVDn17DsMzO0CSgLaJMV7JU2ut938bjUYFAcCC1/d77HvByv1YNjOTc8KICMCN/d1ERESNExKJ2PTGRqIAACAASURBVNSpUzF37lwMGTIEoihi8eLFiI6OBgAsX74cCQkJmDBhAnJzc3HixAmMGjUKarUaSUlJePbZZ5s5+uCRJBkVNVYAAtY+MwSmCptXy/Q/PTYAZqsT8+o8vmBKOpJaRSHBqPeoClXUWLBi4zd4cPjtWLT6gMd+1CpBSSrcQwrf/ugYjp82eQwl3PVFic8katcXJWiXFOuzmnXBVIvk1lFQqQU8en9PLF59EH98zLOyZrbZ8fuX9mDG2B44/G05CvIyIEkyBEFAVa1Nabrhr8GGq7mIrLSlv/vOtsoaX4WPZCD/1SsVtLkT++DdT/6F4u8voiAvEyMGRCMmQguz3QG7Q0KV2YbYKN01uxvW7SxZNxaHJPt5BRERERG1VCGRiEVGRuLll1/2+dzs2bOVn3U6HQoLC4MVVkiRJBk/lVcq64G9OX+I3+GJy9Z5Nr5YsuYgCmdmIv+1vXhpzkBYrIBTkhAbpcej99+hJGF19zNjbA+fjTtWbz7i0YTinY+PAwCWzsiALMtQiSJ2Hj6Ndz4+js63GL3WCXMndE8+0BtnzlXi/z4/hWnZ3VFTa8fDz+1EVp+2yLm7E9SiiIXT+iEqQo2bW0dDgIAFr7uSp8K8K/PZ/DXYUIkCNBoVpmd39Tl08cXZA2C3y4jQiai1OpHYKhLnTWYIAhAfG+Fxrt3J7LVazav9NO1gcw4iIiIiqo+TVcJERY1VSQwAXLU1uu8KkYTp2V1x3mRB/oq9eKhwB/JX7IVKJfrcXl9v+J27cUf+pDTotCIe/687lXW5thWdRmWNDW9++A0kWca2otMArqwTNmNsD6zKz3JVvJxOHD9tgs3uxPpPvsPIAR2xevMRnD5XjZy7OmBYxq+waPXnePi5nVi0+nOYqqyw2J24VGVR4qyqtSvv7a7I1V9r7MA3pXA4JPTtluwzYbXaJOSv2ItzJgsuVZjRu0sbrF14D5xOCRcrzB7n2p3MuqqR/hkNep+xsDkHEREREdUXEhUxuja7wzPx8ts63l8rdZWIDjcbPVrBnzeZUXax2uf2FpvnYs8JxgjEx0bgwDel6NstGQnGSPxx9kBY7RLsdicqa22YNro79FqVx1BFU5UFcQY9tBoRm3d/j4G92uJ/Fw+FQwKefKA3nJJ0edihhA43x3g19yhcW4SF0/rBVFmrxLlx5wml0vbOx8dxT792SkXO3SjjnY+Po0+XJLiHJ9ZVd0iju4qYv2Ivls7IwEOFO7D2mSEewyR/OGvC0rWHYXdIuBq1WkT7NjFszkFERERE18RELExo1J6J17lL1T7nZkVqRcyZ0Asvvful8vicCb0QqRVRZXZ4JSXrP/kO8yaloaDOfuZM6AWN5sr7uYcUrvqgGOPvuQ1ROhFarQZnLlR7DN/Ln5SG1R8cQWpKnMecLncHwbkT+6D0fBWiItSorrUr87zSuyZi6qhukCQZ07K7Y+PlxiCAK2nSqAVERaiV4zp+2oQtn53Eoof6o9psg80m+WwYohIF4Bprg9VdeFmWZcyf1BumCpvXeV00PR2aBiRUarWI1nW6VRIRERER+cJELEzERumwYEq6kvj89/qv8ac5Ay+3TJehUgmIidCixmqHVitixtge0GvVsNgc0GpFWB2yzxb2roqVTtm+qtaOtVu/RZxBi8KZmZAlGYIoAJDx0OgeqKix4NGX9mDJw/29hu8Vri3CtOzuKFhbhP49bsai1Z97vNeydYdQmJcJq92pJGGdbzFi5ICOfhuDJBgjYHfIWL7+Kzw1sTcK8jJwwWRGVa0d/305Kcvq09YrKZ07sQ9UKmDfP0v9NhMBPBdeFgTBZ9XQXTWLjdIF7x+ciIiIiG5oTMTChCgKaNcmBi/OHgi7Q4JGLcIQoUNslGcjiFqrHc+tO+xVAXph1gC/Cw/r1AK0GpVHFe3B4bfDKckwWxyIi9biiVf21kvgrD6H/BkiNQAAlehvIWYJonDlubGDOynNPNzb1G0MMndiGjbtOoHzJjOeW3cYhTMzlTjdir+/iAn33obCvEzYHU5IMqDWCFi5sRgHj55D7tDOHs1EDnxTinc+Pq4c/88VtUpydlevFL9z767VNZGIiIiIqKGYiIUR8fKco/ocDgmmKgsclytjPVLjsf1QifK8u4W6TqdGSny0x/ynM+crAQC1ZhuWzsiATivCbpddzwsCvjl5Aendkr2Sk4pqm88hf/FxEXj9qcHQqFV+F2mWJEl5zhCp8Zn4tE8y4Jnp/eCQJJScq1Yet9odPqtfTqeEGL0aNYJrGKfdIeHg0XMAgHc+Pq50d/zfxUPRt3sy+nRJgkolIEIrwmyTAMHVZGRw71v8zr0jIiIiIgoUJmJhzuGQcKq80isxAaAkY64Fi13zm6rMNo+hdwCQc1cHDOzVFkVHy9ClQ7xXxUyrFZHeNRG/6dMOhkgNqmrtOPbjRcybnIaCP3tuu3rzERw8eg45d3XwWX2L0IlwyhLmTuyDZesOKR0Q6yc+p8qqULC2CAnGCGW4Y4IxAmfO1eDWW+JcDTGc8uU29SIitWrodGpEXV43+YKp1ud+LTYJCfXmcBmiXOdx2cxM6LSiz7hjI7VN8u9HRERERC0TE7Ew5a6CyTK82rO752L9x+BOkGRAoxGV+U2+Fh3OSmuPRas/x9IZGR5NL5T5UTMzMf6e21C4tgjPPtwPbROj0fHmWECQUTgzE5IkQxQErPqgWKlCbdr9AwBcrr65KnVbPzupvFeP1HgsnNYPOq3o1SzEPUfMHYMhUqM8vuWzk+iYEuuVTNXnbiVfP6Hy10q+bpMNnVrtMfcuNlILnY7/VYiIiIgocHh3GYbqVsEWP9TP59A+u1PCw8/tVBKQ+BgZ0uWE6PWnBsMpAZt2ncD2QyXKfC53S/f6+3I6ZSUJU6tFXPjFgsK1RXh6WjoitBrIsgyIAubcfwcqzQ6oRBEVNRb8/r8/w9C+7aHRqGCM1mFgr7aw2FydG7cfKlEqdp1vMWLx7/pDlmSUX6pRGnUAripWqxg9pmV3x5bPTmL8PbchLura1al/p5W8TqdGAhMvIiIiImpCvNsMQ6Yqi1LpcUrwOQTP6ZQBXKlqvTh7IH6usHgNYTREaqBWX+ka6G9+1JC0W6AWVZAuJ2VPT0uH3SFj8eq9HhUnjVrA4tX7kT8pDct/P9BVkVOL0GhUaJdogKna6rNz4+nyKmzceQIzxvaAqcqivPe8SWnQaVVon2TAQ6N7QK8TodU27LJlK3kiIiIiClVcaTYM1R1euGnXCeRPSkOCMQIAlARr064TyvbnTWbY7ZLPIYwjMjvin9+dx9yJfVB0tMxrX+7kalDvtlCpoFTNIrQar/0Vri1ChFaj/BwdofMYFqnRqBAfG4EFU9I93uPR+3ti484TSiv9adndUZiXgRlje8Bqd2DS4k+w4PX9qKy1Qavi3w6IiIiIKPzxrjbEWK0OVNTa4HRKUKlEn/OT1Korlavth0owYehteGZ6P4gCoFGrsHXvSY+uiQnGCGXR4rrc7eQ3bD+BHqnxGDOoE6Ij68yPEgUc+KYUb2w+qiRlrWJ019zflZ9lJLaKhM3mRKX5yjEltYrC87MGQK0SYLVJcEoSnnygN1RqoKLKojTmyJ+Uhpti9ViVn6Wsk6bX85IlIiIiovDHu9oQYrU6UHKh2qvBRNvW0R7JWP1GFFs/O4mBvdqicG0ReqTGY1jGr7CvuAznTWakd03E1FHdIIq+hx2KooAXZg2A1SFBLQowROhc88BMtZj7mo+FjWdmIn9SmrIIsq/29MrPKgE2mxNnLnoeU+EjGdBrVDhvsnh3VdSrUZiXgapaO9Z/8i/MHHcHkuKjmuycS5KMihqrsjZbbJSO64URERERUZNjIhZCKmptPof7Fc7M9Gge4asRRWyUVvk9QqtC4cxMyLKM6lo7Fry+Hz1S45WW8XXniP197w+4684UaFRqSCJwqdICo0Hns7uiq3GHhNZxeqgF+OxKaLbZlZ9jIrSoNHse05C0W1BZbQciBd/HmpeJ/BX7lPd8KEdqsvMtSTJ+Kq/EkjUHlWNYMCUd7drEMBkjIiIioibFRCyEOJ1+hvtdbrxRl69GFK3rNLGwWBwwVVuUtvDuoYrPTO8HlUqAwyEr88hkWcCi1Z97rpsVpfVZ8bI7ZPzzuwvo3L4V2hj1VxaHVomI0oqoNDtRODNTGUZottuxdEYGZFmGIAgQBGDein1Y8nD/qw5tdL+fpgFdDq9XRY1VScLc779kzUG8OHug3zb3RERERESBwGYdIUSlEpUmFm7uIX6NpderIYqCR7Kz/VAJ8p7fiUsVFsx8YSe2HyrBmEGdfFamNGrRZ+OO2GgNkhMMmLdiHyY8/THyV+xFjcWBuCgtoqL0SIqPQoIxEnq9Gna7Ez9XWDF/5T48VLgD81fugyAA07K7AxCwcFo6Ot9i9DzWOkMbF0xJVxp9NAW7w3fia3c0XRWOiIiIiAhgRSykxEZqfQ73i430v26We2Fnh1OGWuVaK0sUBVTUWP22o7fYHMrPKtWVZK3zLUaMHdwJhkgNrHYJiUa90gTEve6Yv8Rt2cxMj4ocAJiqrR7bGg16VNXYsXrzEeX4Zo/vibf+fgymKgvyJ6XBLjnx3COZiI+LQHxsRJMOEdSofc9za8oqHBERERERwEQspOh0arRtHX2la6FK8OiaaLE4PLoPxkRovRphLJzeF06njCVrDsJo0GP2+J5Yvv4rjzlQ0ZEaPPdIJmx2J1SXm3gYDXo8MOx2vLzhyrbzJqdh5d+KlcWVAeA/BnfyWUVySLJX44v6Qy3HDu6kDJV0v275+q9QkJcBAQK+/u4cXnmvGACwKj+ryedpxUbpsGBKutccsaaswhERERERAUzEmsXVOvXpdGqPxhxuFovDK+nKn5QGu93hkdicv1SLlRuLXT+bzHjr78cwY2wPpCQYoNOqlCRDrRJhd0iI0LqGIP5SZVGSMPe+Cv5chBlje2DR6oNXYpd9LyCtEgScN9Vi9eYjOHj0nKs7Yl6mx7aGSI3PJM5sdcLhlBATpb2yv+sYjtlYoiigXZsYvDh7ILsmEhEREVFQcQxWkLk79T2+fA+mLtmGx5fvwU/llZAk74YcddXvPugeEnhTbCTmTUpT5lrFGfQeyc7x0yYsWn0Qonhl2KL75wRjJAxRetySEI2bW0f7TJKS46M95olpNN5zx+ZO7IN3P/kX5q/ch5EDOqLzLUacN5lx4JtSj20tNofPOXBlF2tQuLYIHW42KglmXJT/4ZiBVPdcuM8PEREREVFTY0WsEXzNx1I3cj7R9Xbq89tRUZKwevMRPHp/Txz78WdE6dWNnvdUUWPD2QvVPl+n16m9KkbxMbKrVb5ThsMp4f1PTyhdGV/e8BWmZXdHwdoivLH5KP6yaKgy1FKrEbFgcjqW/PnKUMBH7++Jtz86piwAXTgzE3FRWmi1vDSJiIiI6MbFu90GcjgknCqv9Boa2L5NTKOSsevt1OfuqOhrAeXzJjNe3vAVls7IUJKy+nO9JElG2cVqqFQijNE6aDSqK8fmlLH+k++8XzcpDXHR3kP1RFFAa2Mkzptq8VDhTq9jMURqlPhcQxmvtNk3GvQonJmJi7+YUVFtw9sfHcPx0yZlOGJCvZb8REREREQ3IiZiDWSqsvhdbNm9ZlZDXG+nvpgI3x0Vz12qVuKRZRkHj57DL1U2TMvuDkOkBlW1dhgiNXjylc88Xtcu0aAkY2qVAFOVBW9/dEx5ncXmgNFw9flS/o6lqtbut/GFKLoakFTW2Dy6J16rOyQRERER0Y2EiVgDOZyy30rWmYvVSImPblAydr2d+vR6NRLrLqAsihBVgMXqwLxJadhx6CelXf3x0yYUrC0C4EqMnpnez2cC6a4+xUXrlCSvYG2RkhgZrpEY+TqW+ZPTEButw4uzB/ptfHGt7pBERERERDc63vk2kFrle00up1NWEpuGJGKiKCCpVdTlJORKG/qGNIkw2yTkr9iLHqnxGJbxKyxbd8ijoqTRCJg7sY/X4+9/esJjP+dNZjidV5qDVFvs2PNlCRZO6weV6FozbHvRKeQM6gRjnSGMvo7lersO+usOSURERETUEvBOuIGMBr3X0MC5E/tg064TXonN1VitvtvQt20d7bci5G4S4nRKKMjLwC9VViXZAq5UuV6YNQDxcRGXq2auhiJqtYji7y967K9+e3i7Q8Km3T9g0+4fPLYbMaDjNY/H3XWQiIiIiIgajolYA6nVItq3iUHhzEzYHRKcThmbdrm6BTZm3auKWt9t6AtnZvqsEPlqErL4d/39LqqcEOvZHt5ud/qcW2aMvjIU8nrnrRERERER0fVhItYIarVrGKGvilZMRMMaTfhtQ++nouarSUjZRd+t5n0lThqNCu0SDR7zsep3TbzeeWtERERERHR9mIg1kl6vRkq8Z6OJxnRN9NuG3k9FzVeTkPWffId5k9JQUCcZvFripFKJl5M01zwulcozYft35noREREREVHjMRG7Dnq9usGJV32xkb7b0Ndv3W63O2GqtgKQ8ca8LBSfOA9DlF5pLX9TrL5BiZMkyfipvNKr2tWuTYzH9pzrRURERNSy2exOaK/SqK2lxdHUmIgFWUNat9vtTvx0rkpJ1tK7JmL8Pbd5JG++kilfKmqsShIGuIY2LllzEC/OHsjEi4iIiIgUWo0KI//f5uYOA1v+mN3cIQQFuzE0A51OjQRjJJLio5BgjPTqlmiqtnrMC/tNn3Ze88SWrDmIihrrNd/L7vA9J83ukAJ0NERERERE1FisiF0ni8WBSrPNYy2w6x2uWF/9hh6GSM11J1PsiEhEREREFHp4N34dLBbXWmD5r+3FQ4U7kP/aXpy5WA2LxRGQ/bsberhV1do9fgd8J1OSJMNUZcF5Uy1MVRZIkqx0RHS/nh0RiYiIiIiaHxOx61Bp9r0WWKXZFpD9G6N1yJ+UpiRPOw795PG7r2TK3ZTj8eV7MHXJNjy+fA9+Kq8EAKUj4psLhuDF2QMbNLeMiIiIiIiaTkgMTdy8eTNWr16NkydPYt68efiv//ovv9v+9a9/xRtvvAFZljFw4EAsWLAAohjcfLKxa4E1lq+1v+KitEqXRJ1GhFMCLlaYlY6J12rKwcYcRETUkrSUrmtEFL5CIhG7/fbb8dJLL2HVqlVX3a6kpASvvvoqPvjgA8TFxWH69On48MMPMXr06CBF6tLYtcCuh0ajQoIx0uMxrVbttx19TJQWcyb0QlWtHRt3nsDx0yY25SAiohYrVLq/AS2nAxwRNU5IDE289dZbkZqaes3K1scff4ysrCy0atUKoihi3Lhx+Oijj4IU5RUxEVqvoYL5k9IQE6G9xiv/ff4qXz+WViB/xT6s3nwEDwy7HZ1vMbIpBxERERFRiAqJilhDlZWVITk5Wfk9OTkZZWVlPretrKxEZWWlx2Pl5eUBiUOvVyMl3nMtsOvpmihJMipqrNdclLkuf+3o9Vq18vPLG77CjLE9cFNsBJtyEBGFkKb8biIiovASlEQsJycHpaWlPp/bv38/VKrAj+Fet24dXn311YDv102vV/9b7er9DTFsm2BAldnmNznz146+qtau/H7eZEZKggEJxkg25SAiCiFN/d1EREThIyiJ2KZNmwKyn6SkJI+ErrS0FElJST63nThxInJycjweKy8vR25ubkBi+Xf5G2K4dEYG5q/c55Gc1e1y6G5HXzeBmz2+J976+zFl3wnGCOi0KiZhREQhJtS/m4iIKHjCamji0KFDkZubi0ceeQRxcXF47733MGLECJ/bxsTEICYmJsgRNpy/IYaXKi1+Ox8CgCgKSjt6u0OCWiWi1mKHqcoCgOuEERGFslD/biIiouAJiURs69ateP7551FZWYkdO3Zg1apVWLNmDVJTU7F8+XIkJCRgwoQJaNu2LfLy8vDb3/4WAJCRkYFRo0Y1c/TXx98Qw4pqz7XIfHU+FEXBox19XLROScwaOteMiIiIiIiaT0gkYiNGjPBb2Zo9e7bH7+PHj8f48eODEVaT8jXEcP7kNPzvx//y2K4hnQ/rJ2ZERERERBTaQiIRa4nqDzHUqEUYIrTIvfd2/Fha6TFHjMMMiYiIiIhuLEzEmpGvSlb95IzDDImIiIiIbjxMxJrQ9awTxmGGREREREQ3PiZiTcTfOmF1W9ETEREREVHLdPUuEHTd/K0TVlFjbebIiIiIiIiouTERayL+1gmr34qeiIiIiIhaHiZiTcS9TlhdDWlFT0RERERENz5mBU3EvU6YOxljK3oiIiIiInJjs44m4mudMLaiJyKiG53N7oRWo2ruMIiIQh4TsSbEVvRERNTSaDUqjPx/m5s7DGz5Y3Zzh0BEdFUcmkhERERERCHDZnc2dwiKpoyFFTEiIiIiIgoZoVJZB5q2ut6iEjGn05XRlpeXN3MkRETUVNq0aQO1Ony+3gL13XRTfAIi9NpAhERERHWcOXPm396Hr+8mQZZl+d/ec5g4fPgwcnNzmzsMIiJqQjt27EBKSkpzh9Fg/G4iIrrx+fpualGJmMViwTfffIPWrVtDpfr3OzqVl5cjNzcX77zzDtq0aROACJtOuMQaLnEC4RNruMQJhE+s4RInED6xBjLOcKuIBfq7KRDC5bpxC7d4gfCLOdziBcIvZsbb9JozZl/fTeHzTRUAer0evXv3Dvh+27RpEzZ/fQ2XWMMlTiB8Yg2XOIHwiTVc4gTCJ9ZwiTOQmuq7KRDC7d8j3OIFwi/mcIsXCL+YGW/TC5WY2TWRiIiIiIgoyJiIERERERERBRkTMSIiIiIioiBTPfPMM880dxDhTKfTIT09HTqdrrlDuaZwiTVc4gTCJ9ZwiRMIn1jDJU4gfGINlzhbinD79wi3eIHwiznc4gXCL2bG2/RCKeYW1TWRiIiIiIgoFHBoIhERERERUZAxESMiIiIiIgoyJmLXYDab8dhjj2HIkCG499578emnn151e6vViuHDh2PMmDHKY++//z569+6N7OxsZGdnY+bMmSEbKwC89tpryMrKQlZWFl577bVmi/PYsWPIyclBdnY2hg8fjj/84Q+w2WwAgIMHD+LXv/61ck7HjRsX8DgDFSsA/PWvf8WQIUOQlZWFxYsXQ5KkZot1+/btGDNmDEaMGIHhw4djzZo1ynPBuFYDEScQOtfpuXPn8MADD+DOO+/0+r8Uatfp1WIFmv46bcxnlL9YgnVOW6LNmzdj5MiR6NKlC/7yl79cddtgfKZdS0OvJ6fTiaVLl2LEiBEYOnQonnvuOTTXrIyGxixJEpYsWYJhw4Zh5MiRmDp1Ks6dOxfkaBse71tvvaX8n8zOzkavXr1QWFgY5Ggb9xlz7Ngx5ObmYtiwYRg2bBh2794dxEivaGjMofLZF6h7zWAK1L1ck5Dpql555RV5/vz5sizL8o8//ij3799frq6u9rt9YWGhnJ+fL+fk5CiPbdy4UZ41a1ZYxFpUVCSPGDFCNpvNstlslkeMGCEXFRU1S5xms1m2Wq2yLMuy0+mUH3nkEXndunWyLMvygQMHPOJuKoGI9fTp0/KAAQPkn3/+WXY6nfKUKVPkTZs2NVusX3/9tVxeXi7LsixXVlbKWVlZ8qFDh2RZDs61Gog4Q+k6rayslA8dOiR/+umnXtdkqF2nV4s1GNdpQ+O8WizBOqct0fHjx+UTJ07ITzzxhPz222/73S5Yn2nX0tDraf369fKUKVNkm80m2+12eerUqfLWrVuDHa4syw2Pedu2bfK4ceNku90uy7IsFxQUyAsXLgxmqLIsN/6+QpZl2WazyX379pWLi4uDEaKHhsZbU1MjDx48WP7qq69kWZZlu90uX7p0KaixujU05lD57AvEvWawBeJerqmwInYN//jHP3D//fcDANq3b49u3bphz549Prc9fPgwTp06hezs7GCGqAhErB999BFGjx4NvV4PvV6P0aNH46OPPmqWOPV6PbRaLQDA4XDAYrFAFIN7yQYi1o8//hhZWVlo1aoVRFHEuHHjAn5OGxPrr3/9ayQmJgIADAYDOnbsiLNnzwY8nqaMM5SuU4PBgN69eyMiIiKg798YgYg1GNdpQ+MM1v8Z8nTrrbciNTX1mp+zofLv09Dr6V//+hf69esHjUYDtVqNjIwMbNmyJdjhAmjc97TNZoPVaoUkSaipqUGbNm2CGSqAxsXr9umnn6J169bo3r17MEL00NB4t27dijvvvBN33HEHAECtVsNoNAY1VrfrOcfNKZzui91C+b6Tidg1lJaW4uabb1Z+T0pKQnl5udd2tbW1KCgowKJFi3zup6ioCNnZ2cjNzcWuXbtCNtaysjIkJyd77KOsrKxZ4gRcQ6mys7ORnp6OqKgo/Pa3v1WeO3XqFHJycjBu3Dhs2rQpoDEGMtb65zQ5OTng57SxsbqdPHkSX3/9Nfr27as81tTXaiDiDLXr9GpC7Tr1JxjXaUPjvFYswTin5F+wPtOupaHXU9euXbFz507U1taitrYW27dvD+ofn+pqaMyDBw9GWloaMjMzkZGRgR9//BFTpkwJZqgAru+zZePGjc02DK2h8X7//fdQq9WYPn06srOzMW/ePFRUVAQzVEVjznEofPYF6r44mAJ139kU1E269zCQk5OD0tJSn8/t37+/wft5/vnn8Z//+Z9ITEzEqVOnPJ67++67MWzYMOj1enz77beYPn063nrrLXTs2DHkYg2EQMUJAImJidi8eTNqa2vxxBNPYNu2bRg+fDi6du2K3bt3w2AwoKSkBJMnT0ZiYiL69+8fcrEGSiBjBYDz588jLy8PCxcuVCpPgbhWgxFnIAQ6Tl9C8TptSuF0Tluia/37qFSqIEd0dYG6nsaMGYOSkhJMmDAB0dHR6NGjBw4cOBCoMD0EKuajR4/i5MmT2LNnD6KiorB06VIsW7YMTz/9dKBCBdA0n9cHDhxosvlhgYpXkiQcOHAA69evR3x8wh/yxQAABn9JREFUPAoLC7Fs2bImiTtQMQfrsy9c7jXrCqd7ufpafCJ2rb8oJCcn4+zZs2jVqhUA118C09PTvbb74osvsGfPHqxYsQJWqxUVFRUYOXIktmzZorwWALp06YJevXqhuLi40YlYMGJNSkryuJjLysqQlJTULHHWFRkZiWHDhmHLli0YPnw4oqOjlefatm2LrKwsfPnll43+QApGrPXPaWlpaaPPaaBj/fnnnzF58mRMmzYN9913n/J4IK7VYMQZqtdpfaF8ndYXiOs0UHFeLZZAndOWKFB/QQ/UZ9q1BOp6EkURc+bMwZw5cwAAb7zxRqO/fxsqUDFv2rQJffv2hcFgAACMGjUK8+bNC9l43T744APcddddHt8lgRTIz5j09HQkJCQAAEaOHNkk5xcIXMzB+uwLxr1moAXjXq6pcGjiNdx7773YsGEDAFdJ+MiRIxgwYIDXdlu2bMHOnTuxc+dO/OlPf8Ktt96qXGx1Ox2dPXsWX3/9NTp37hySsd5777344IMPYLFYYLFY8MEHH3jcAAczzpKSEqVbjc1mw44dO3DrrbcCcP3VTb7c9eqXX37Bvn37cNtttwU0zkDFOnToUGzfvh2XLl2CJEl47733An5OGxOryWTC5MmTkZub69V1KRjXaiDiDKXr9GpC7Tq9mmBcpw2N82qxBOuckn/B+ky7loZeT1arFVVVVQBcSeO7776LyZMnBzVWt4bGnJKSggMHDsButwMAdu/ejU6dOgU1VqDxny0bN27E2LFjgxWel4bGe99996G4uBjV1dUAgD179jTJfVlDNDTmUPnsC8S9ZrAF4l6uqbT4iti1TJ06FXPnzsWQIUMgiiIWL16s/FVi+fLlSEhIwIQJE666j3feeQc7duxQhn38/ve/R5cuXUIy1vT0dNxzzz1K9j969GikpaU1S5xffvklVq9eDUEQIEkS+vTpg7y8PADAJ598gnfffRdqtRpOpxOjR49GVlZWQOMMVKxt27ZFXl6eMs44IyMDo0aNarZYV61ahVOnTmHDhg3KB9ODDz6IsWPHBuVaDUScoXSdOp1ODBo0CDabDdXV1Rg4cCDGjRuHWbNmhdx1erVYg3GdNjTOq8USrHPaEm3duhXPP/88KisrsWPHDqxatQpr1qxBampqg/99gqmh11NVVRUeeOABZdL9448/jq5duwY93sbEnJubixMnTmDUqFFQq9VISkrCs88+G7LxAq4KSG1tLTIzM4MeZ2PjTU5OxvTp0zF+/HgIgoCUlJRmOb+NiTlUPvsCca8ZbIG4l2sqgiw302IaRERERERELRSHJhIREREREQUZEzEiIiIiIqIgYyJGREREREQUZEzEiIiIiIiIgoyJGBERERERUZAxESO6QQwePLjRK8gTERE1FX4vEV0dEzGiG9xf/vIXjBkzBt26dcPcuXObOxwiImrBbDYb5s2bh0GDBqFnz57Izs7G7t27mzssombBBZ2JbnAJCQnIy8vDZ599BqvV2tzhEBFRC+ZwOJCUlIS3334bycnJ2L17Nx577DFs2bIFKSkpzR0eUVCxIkZ0Azp58iQGDx6MrVu34p577kFWVhbi4uKaOywiImqh3N9LO3fuxKxZs5CSkgJRFDFo0CCkpKTg6NGjzR0iUdCxIkZ0gzl69ChmzpyJhQsXYtCgQc0dDhERtXBX+166ePEiTp06hdTU1GaKjqj5MBEjuoEcPnwYf/vb3/DCCy8gPT29ucMhIqIW7mrfS3a7HY8//jhycnLQsWPHZoqQqPlwaCLRDWT9+vXo2bMnkzAiIgoJ/r6XJEnCk08+CY1Ggz/84Q/NFB1R82IiRnQDWbRoEcrKylBQUNDcoRAREfn8XpJlGfPnz8fFixfxyiuvQKPRNGOERM2HiRjRDSQqKgqrV6/G4cOH8eKLLwJwdaiyWq2QJAlOpxNWqxUOh6OZIyUiopbA1/fSwoULcfLkSbz++uvQ6/XNHCFR8+EcMaIbTExMDNasWYMHH3wQarUaKpUKr776qvL8hx9+iEceeQSzZs1qxiiJiKilqPu99PPPP+P999+HVqtFZmamss2iRYswatSoZoySKPgEWZbl5g6CiIiIiIioJeHQRCIiIiIioiBjIkZERERERBRkTMSIiIiIiIiCjIkYERERERFRkDERIyIiIiIiCjImYkREREREREHGRIyIiIiIiCjImIgREREREREFGRMxIiIiIiKiIPv/m6KjTT+YXx8AAAAASUVORK5CYII=\n", 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" ] @@ -238,7 +262,7 @@ } ], "source": [ - "pypesto.visualize.sampling_scatter(result, size=[13,6])" + "ax = pypesto.visualize.sampling_scatter(result, size=[13,6])" ] }, { @@ -250,12 +274,12 @@ }, { "cell_type": "code", - "execution_count": 9, + "execution_count": 10, "metadata": {}, "outputs": [ { "data": { - "image/png": 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\n", 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\n", 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\n", + "image/png": 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\n", 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\n", + "image/png": 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\n", 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" ] @@ -313,7 +337,7 @@ }, { "cell_type": "code", - "execution_count": 10, + "execution_count": 11, "metadata": {}, "outputs": [], "source": [ @@ -326,12 +350,12 @@ " return 0.3*multivariate_normal.pdf(x, mean=-1.5, cov=0.1) + \\\n", " 0.7*multivariate_normal.pdf(x, mean=2.5, cov=0.2)\n", "\n", - "def p(x):\n", + "def nllh(x):\n", " return - np.log(density(x))\n", "\n", - "objective = pypesto.Objective(fun=p)\n", + "objective = pypesto.Objective(fun=nllh)\n", "problem = pypesto.Problem(\n", - " objective=objective, lb=np.array(-10), ub=np.array(10), x_names=['x'])" + " objective=objective, lb=-4, ub=5, x_names=['x'])" ] }, { @@ -343,22 +367,12 @@ }, { "cell_type": "code", - "execution_count": 11, + "execution_count": 12, "metadata": {}, "outputs": [ { "data": { - "text/plain": [ - "" - ] - }, - "execution_count": 11, - "metadata": {}, - "output_type": "execute_result" - }, - { - "data": { - "image/png": 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\n", + "image/png": 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\n", 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" ] @@ -368,10 +382,10 @@ } ], "source": [ - "xs = np.linspace(-10, 10, 100)\n", + "xs = np.linspace(-4, 5, 100)\n", "ys = [density(x) for x in xs]\n", "\n", - "sns.lineplot(xs, ys, color='C1')" + "ax = sns.lineplot(xs, ys, color='C1')" ] }, { @@ -390,22 +404,56 @@ }, { "cell_type": "code", - "execution_count": 12, + "execution_count": 13, + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "100%|██████████| 10000/10000 [00:03<00:00, 2644.33it/s]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "CPU times: user 3.75 s, sys: 97.4 ms, total: 3.85 s\n", + "Wall time: 3.8 s\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "\n" + ] + } + ], + "source": [ + "%%time\n", + "sampler = pypesto.MetropolisSampler({'std': 0.5})\n", + "result = pypesto.sample(problem, 1e4, sampler, x0=np.array([0.5]))" + ] + }, + { + "cell_type": "code", + "execution_count": 14, "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "[]" + "[]" ] }, - "execution_count": 12, + "execution_count": 14, "metadata": {}, "output_type": "execute_result" }, { "data": { - "image/png": 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\n", 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\n", 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" ] @@ -415,9 +463,7 @@ } ], "source": [ - "sampler = pypesto.MetropolisSampler({'std': 0.5})\n", - "result = pypesto.sample(problem, 1e4, sampler, x0=np.array([0.5]))\n", - "\n", + "pypesto.geweke_test(result)\n", "ax = pypesto.visualize.sampling_1d_marginals(result)\n", "ax[0][0].plot(xs, ys)" ] @@ -431,22 +477,49 @@ }, { "cell_type": "code", - "execution_count": 13, + "execution_count": 15, + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "100%|██████████| 10000/10000 [00:03<00:00, 3167.94it/s]\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "CPU times: user 3.23 s, sys: 113 ms, total: 3.34 s\n", + "Wall time: 3.17 s\n" + ] + } + ], + "source": [ + "%%time\n", + "sampler = pypesto.MetropolisSampler({'std': 1})\n", + "result = pypesto.sample(problem, 1e4, sampler, x0=np.array([0.5]))" + ] + }, + { + "cell_type": "code", + "execution_count": 16, "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "[]" + "[]" ] }, - "execution_count": 13, + "execution_count": 16, "metadata": {}, "output_type": "execute_result" }, { "data": { - "image/png": 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\n", 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Gd1NSUoeCjt3XAZxo39Ph9Z/b44qUmnQS2rx5Mxs3bsRut/PlL3+ZhoYGfvzjH9PR0ZHO+IQQM1hnr3/MVByAY7jt3EdBACVzko8HJ6b82mWr76wypTWhRYsW8Y1vfINXX32V9evX89xzz/HRj36UtWvXsnnzZjRNm/hBhBACUFWN7r4ghe+bitNDw1jDAylJQorDRdRRlFwXcuVYsVlNtHslCWWTKdc/trW1sXnzZjZv3oyiKHzlK1+hsrKSp556iueff55HH300HXEKIWaYrv4gqqYnLyQFoDdRUh0+l6KE9wm7a3EOtQKgKAoVRbkyHZdlJp2EnnrqKZ599llaW1u55ZZb+N73vsdll12WvL2hoYFrr702LUEKIWaetpGecYUnJSEdhbCrOiXPEXbX4va+iznqQ7W5qCzJpblzKCWPLVJj0knotdde42//9m9ZunQpNptt3O1Op5Mf/ehHKQ1OCDFzdYxMi71/Oo6eZqK55egW+2nuNTWRkWk9x3A7gZILqSzOZef+LsKROA57xvb0FGcw6TWhK6+8kltuuWVcAnriiSeS31933XWpi0wIMaO1d/sodNlP7Kaq69DbPOldVCcj7JqFjpIsThhtknq8R6bkssWkk9Bjjz12yuM/+clPUhaMEOL80d7tG9M52xLuh4g/NZVxI3SznWhuRbI4YfT52mVdKGtMOB594403AFBVlR07dozZj6Ojo4Pc3NzT3VUIIU5J03Q6vH4+dGlV8tjoaCWVI6HE49WQ17MP9EQRhElRaGrp58K6IpwOC66c8csLInMmTEL//M//DEA0GuXee+9NHlcUhdLSUr75zW+mLzohxIzUOxQiHFWpKjlxQapjuB3MFiK5lSl9rrC7lnzPm1jD/Wh6Ea5cKwda+pnd5GXJwjJJQgabMAm9/PLLAHz961/ne9/7XtoDEkLMfKMXjFaW5BIIxYCRJFQ0G0zmlD5XOFmc0AbMp9DlYMAnrXuyxaTXhCQBCSFSpb07sSZTVTwyna9rOPwdUFKX8ueK5FaimSzYR9aFitx2Bn0RNE22+s4GZxwJ3XLLLfzxj38E4IYbbkBRlFOe96c//SnlgQkhZq4Orw9Xjg1XbmIqzBrqw6RGoXh26p/MZCaaW5nc4K7A5UDTdYYD0dQ/l5iyMyahBx54IPn9v/3bv6U9GCHE+aHD66em/MR60GiCoLAG0rDbQiSvktze/ej6iQ4N/b5w6p9ITNkZk9AHPvCB5PdXXnll2oMRQpwf2rt9XHPxiQIEu78TXTGhFFRBIPXl05G8KvI9b0JoKHlx7MCwJKFsMOk1oSeeeIIDBw4A8O6773LjjTdy0003sXv37rQFJ4SYeYb8EYYDUarLXMljdn8n0ZxSFIs1Lc8ZyRspBe9vx2Y1k+e00j8sxQnZYNJJaOPGjVRXJ/o5Pfzww3z605/mC1/4Ag8++GDaghNCzDyjDUSry94/HedJeWn2+0XyRh574MTeQgMyHZcVJp2EfD4fLpcLv99PU1MTn/rUp7jzzjtpbm5OZ3xCiBnCF4zi7Q/SeKwPgBy7hUhMxRQPYQ0PnBitpIFmzSFmL4D+kQo5l4OB4QiaLhVyRpt0EqqsrGTXrl384Q9/4AMf+ABmsxm/34/ZnNqafiHEzBQKx9nV5OW9wz1YzCZau4aJqxp2vweAaBqTEIyMhkaSUKHbQVzV6B+S0ZDRJt1G9utf/zpf+cpXsNls/PCHPwTglVde4eKLL05bcEKImWfAF6HAZU9e8mEbqYxLTpmlSSSviry2QyhaPLnVd2evnwvnFqf1ecWZTToJ3XDDDWzfvn3MsWXLlrFs2bKUByWEmLkGfGEqik/0nLT7PaiWHOL2/LQ+bySvEnQVa8BLkasMgM7eNNSDiymZ0oYaPp+P5uZmAoGxP7hrrrkmpUEJIWamWFzFF4xRX3diIzu7vzORIE5zMXyqjE732f2dOCqrcNoteCQJGW7SSei3v/0t3/rWt8jJycHhOPELpCgKL730UlqCE0LMLIMjPdtGp8N0XcPu72Ko6qq0P3fUWQJmK3Z/Jz6gyO2QkVAWmHQS+sEPfsAjjzzCDTfckM54hBAzWP9oEnKNfJAd7sGkRdO+HgQkGqMWVCW7MxS67RztGELX9dO2JBPpN+nqOFVVZedUIcQ5GRgOoyhQ4BrZPmEgUa2WzvLsMYpqktV4RS4HoUicfumcYKhJJ6G7776bn/zkJ2ials54hBAz2KAvQn6uHbNp5E/PQAc6CtHciswEUFiDJebHHPVRONJDbnRbCWGMSU/Hbdy4kd7eXv7jP/6DgoKCMbdJF20hxGT0+8LJ9aDEgXaiOaXo5vS06xmnKNH1xe7rpMg9F4C2bh+XLSjLzPOLcSadhKSLthDiXKiaxpAvypxK94mD/e1E82ZlLojCxAZ39kAnzqIF5Dgsyb2NhDEmnYSki7YQ4lz0DITQdD1ZlGCKh8HfS6TsgxmLQXHkEbXnY/d7UBSFqpI8mY4z2KTXhKLRKD/4wQ9YunQpV1xxBQDbt29n06ZNk7p/c3Mzq1evpqGhgdWrV9PS0nLac48dO8all17KQw89NNnwhBBZbrQcenQtxjZSIJCxooQR0bwTG9xVleTS1iVJyEiTTkIPPvgghw4d4vvf/36ynPGCCy7gV7/61aTuv379etasWcO2bdtYs2YN99133ynPU1WV9evXc/PNN082NCHENNDZk5j2Gl0TsgdGklCmihJGRHIrsQW8oKlUlebiC0alo7aBJp2EXnzxRR5++GEuv/xyTCOVLeXl5XR3d094376+PhobG1m+fDkAy5cvp7Gxkf7+/nHn/vznP+fGG2+krq5usqEJIaaBzt4ArhwrNkui6bHd7wGrk7ijMKNxRPIqUXQVW7CHWaWJ7STaPDIaMsqkk5DVakVV1THH+vv7x1XKnYrH46G8vDzZcdtsNlNWVobH4xlz3sGDB9m+fTuf/vSnz/h4w8PDdHR0jPnq6uqa7EsRQhigszeQnIoDsPm7oHBW2tv1nGx03yJ7wJNMQi1dwxmNQZww6cKEZcuW8Y1vfIN169YB4PV6efDBB7n11ltTEkgsFuNf/uVf+O53vzvh9hBPPvkkjz76aEqeVwiRfqqm09UX4KI5Ix2rdT0xHVeR/nY9J4vllqErJmz+LvLz7OTn2Wj1SBIyyqST0Fe/+lUefvhhbrvtNkKhEA0NDdxxxx188YtfnPC+lZWVdHd3o6oqZrMZVVXxer1UVp5o1dHT00NbWxuf+9zngMRoR9d1/H4/DzzwwJjHu+uuu1i1atWYY11dXaxdu3ayL0cIkUHe/iCxuJZcD7JEhzHHQ1CQwfLsEbrJQtRZmlyTml3hplVGQoaZdBJqa2tjzpw5/P3f/z2qqnLzzTezcOHCSd23uLiY+vp6tm7dysqVK9m6dSv19fUUFRUlz6mqqmLnzp3Jf//oRz8iGAzyjW98Y9zjud1u3G73uONCiOw0WgZddFJlHEXVEMl8PNG8CuzDiZZBsyvdvLCzFU3TMZmkh1ymTbgmpOs669atY8WKFfzsZz/jlVde4ZlnnmHVqlWsW7cOfZLb427YsIFNmzbR0NDApk2buP/++4FEO6C9e/ee26sQQmS1tpEkNLomNDoKoTDzIyEYqZAL96PHwsyucBGOqngHgobEcr6bcCT09NNP8+abb/L0009zySWXJI/v2bOHf/zHf+S///u/+eu//usJn2jevHk888wz444//vjjpzz/y1/+8oSPKYSYHtq7fRS67NitifVem7+LuM2N1Z4HDGQ8ntGu3Vp/B7MrE618Wj3DYzbbE5kxYRJ69tln+eY3vzkmAQFccskl3HvvvfzsZz+bVBISIjbYjffZR9Bj0cQBRaHwujvIXZj5xWmRWW1dw1SNVKJBojw7kldBhjrGjTPaMFXr66B2Tj2QqJC7anEGtpQQY0w4HXf06FE++MFTt9X44Ac/yNGjR1MelJiZBt/4HRHPUSzuYizuYtTAIP0vb0LXpTP7TKZpOu1eP1UlI6MMXcMW7E6WShsh5ixCM9vQ+jvIcVgpK8qRa4UMMuFISFVV8vLyTnlbXl6ebO0gJkUNDOHf8ydcF99I6a1fAMC/fzve3/2A4OF3yF2Quf5hIrN6BkNEoiqVI0nIGuzFpMWJZmIju9NRTERyK7D2jxQnVLjkWiGDTJiE4vE4O3bsOG0BwskXsApxKsO7tqHHo+RftSJ5LLf+Giwv/5KhnZslCc1go5VxVSV5+IJRw9r1nCyaW4HWdwCAuko3uw56icU1rJZJX8MvUmDCJFRcXMy999572tvfX2YtxKlosQhDb/+RnPlXYCupTh5XTGbcVy6n/8WNhDuP4Kiab2CUIl1GG4RWluTia4ti93dldiO704jkVaJ73kQNDFFb4UbVdI73+KmrlMs/MmnCJPTyyy9nIg4xg/n3vYYWHB4zChrlvmwpA6//D0M7N+NY9f8ZEJ1It9HKuDxnogzBFvAQyynJ3EZ2pzE6Eot6W6mrrAMSFXKShDJLxp0irXRdY2jnFmzlc3DMXjzudpM9B/flNxM48AaxQa8BEYp0a+/2UVvhSv7b7vcYPhUHJNekoj1tzCrNw2xSpHOCASQJibQKHtlFrO84BVevTG4BcrL8D94KisLQW7/PcHQi3XRdp63bR015IgkpagxrqI+ogZVxo1SbC8XhIuptw2oxMassj1apkMs4SUIirfz7XsOcm09u/TWnPcfiLiF34ZUE9r8+6Q4cYnroGQgRisSprUhMcdkCXSjoyYtFjWYqriHa0wZAXYWbFs+QwRGdfyQJibTRdZ1w636cdZegmM+8/OicezlqYIhYb3uGohOZMFr2XDeShLKlMm6UqaiaaE87uq4xZ1Y+3oEQvmDU6LDOK5KERNrE+o6jBgZPuRZ0Mmdd4pxQy750hyUyaHSLhNmViek4m78LzWQhllNiZFhJpqIa9FiY+KCXubPyATh2XEZDmSRJSKRNqCXRmHY0wZyJtaAcS34poVZJQjNJi2eYskInOY5EJZzd70mUZivZ8adHH2mg2nPsEO4cGwAHWsbv+CzSJzt+E8SMFG7dh9ldgqWgfFLnO2YvJty2X9r4zCAtnmFmv6/k2e7vzJr1IEhUyOkodDQd4EjHILkOC0c7ZCSUSZKERFroukaodT/OusWnrYo7mbNuMVrIT7S7Nc3RiUyIxTWOe09c/KkFB7HE/ETyqgyO7ATFaieWU4J9ZH+jkgInbd1Spp1JkoREWkS9bWghH85JrAeNcs6+GECm5GaIDq8PVdNPJKG+RNFJNiUhSMRj93cCUFrgpKs3SCQm7cgyRZKQSIvwSCKZShKyuIuxFFYk7yumtxNFCSNJqDdRCp11SSi3EluoDyUepqTAiabrydhF+kkSEmkRatmHZaTYYCqcsxcTbmtE1+ST6HTX4hnGYlaYNbKPkNbXRsyej2bNMTiysSKuRFK0BzyUFDgBqZDLJElCIuV0TSXctn9Ko6BRzrrFaJEg0a7mNEQmMqm1y0d1mQuLOfFnRutrz7pREJwYmdn9Hty5Npx2iyShDJIkJFIu2t2CFgnimERp9skctSPXC8mU3LTX8r5moHo8hjbYmZVJKG4vQLU4sfs7URSF2nKXJKEMkiQkUi50FutBoyyuQqwl1XLR6jTnD0bpHQwl14OivR2gqVlVnp2kKETyKrH7EsUJNeUumj3DqJq0kMoESUIi5UIte7EWV2Fxnd1eU87Ziwm3H0BX4ymOTGRK68geQqMjoag3UXafjSMhGKmQC3SBrlFb4SIaU+ns8Rsd1nlBkpBIKV3XiHQ04ai96Kwfw1F7IXosTLS7JXWBiYxqGa2MqxhNQi1gthJzZke7npNF8ioxqRGsoX5qRzp+H5UpuYyQJCRSKtbvQYsEsZ/DLqn2qgsAiHiOpCoskWGtnmFynVZKChxAYp3QVFQNJrPBkZ3aieKETipLcrGYTbIulCGShERKRToTicMxkkjOhiW/FFOOm3Dn0VSFJTJstChBURR0XSfibcVUXGt0WKcVza1AR8Hu92Axm6ircnO0Y9DosM4LkoRESkU6j6BY7VhLqs/6MRRFwV45n4jncAojE5miaTotnqHkepDqH0QLDmMqrjE4stPTzbBMbPwAACAASURBVLaR9j2J4oQFNQUcbh+Q4oQMkCQkUiriOYK9Yi7KOU672KvmE+vpQIuEUhSZyBRPX4BQRGV+dWJrhKi3BQBzSfaOhCAxJWcbSUILZxcSiqh0eGWn1XSTJCRSRlfjRLuaz2k9aJSjaj6gE+k6du6BiYwancaaV10AnKiMy+bpOBhJQuF+9GiIC2oKATjUOmBwVDOfJCGRMlFvG7oaw1557klo9DGkOGH6OdIxhMVsomakyiza3YLZXYJizzU4sjMbLU7Q+tqZVZpHrsPCoXZZF0o3SUIiZUYTRipGQubcfCz5ZclCBzF9HO0YpK7KnWzXE/G2YC+bbXBUExu9kFbra8NkUrigppBDbTISSjdJQiJlIp1HMDldk97EbiL2qnmShKYZXdc5enyI2nIX3v4g3d0DxHo7iOVXZ/32CHF7Aao1B7WnBYAFswtp8QwTjspF0+kkSUikTMRzGHvlvElvYjcRe+V84kNe1IBcrzFddPcHCYRiVJfmsavJy4Hd74Ku0xItIq5m+Y65ikLYVYPWk2ieu6CmAE3T5XqhNJMkJFJCi4aJ9nSkZCpulFy0Ov2MdhmYXZFYD3IMdwAQdmdvefb7hV01aP0daLEIC2pHihNkSi6tJAmJlIh2N4OupaQoYZS9Yi6gEJGLVqeNox2DmE0Ks8oSewg5htuJ29yo9nyDI5ucsLsGdI3uwweJxTWK3A72HOnFF4waHdqMZTE6ADEzhDsTF5amciRksjuxlsySkdA0cvT4ELUVLqyWxHVidl/7tBkFAURGYm3dt4fBoXwK3XYOtgwQCsdx5dgMjm5mkpGQSIlI5xHM7hIseYUpfVx71QWEOw+j63LlerbTdZ2jHYPMm5W4PsgUD2ML9hB2TZ8kFLe5wZmP3ZeYRiwvzMEXjDIckJFQukgSEikR8RzFXjkv5Y9rr5yPFhwmPtyT8scWqdU/HGbIH2XeSKcEu+84Cjph99m3cMo4RYGSOTh87QCUFyW2Im/ulOKEdJEkJM6ZGvIRH+g6p6alp+MYmd6TUu3sd7Qj8Yd6dCTk8LUBEJlGIyEASuqwBbwo8TClhU4U5cRrE6knSUics9EEkcr1oFG28tlgtkgSmgaOdgyiKDCnKtG41D7cQcxRiGrLMziyKSquQ0HH4TuO1WKmtCCHQ+1SIZcukoTEOYt4EtVriWq21FLMVuxldVKcMA0cah+kuiwPhz1R7+TwtU+r9aCkkjqA5LpQVWkuzZ1DRLP8YtvpSpKQOGeRzsNYi2dhcqSnN5i9aj4Rz1F0Tf4IZCtd12lqHWDR7MSW7nokgC3UR9g1jdaDRihONzF7YXJdqKokl7iqy/VCaZKxJNTc3Mzq1atpaGhg9erVtLS0jDvnscce49Zbb2XFihX81V/9Fa+//nqmwhNnSdd1Ip1H0jIVN8peNR89GibW15m25xDnprM3gC8YZeFIElK9ie7nkWlUnv1+YXc1juFEEqosyUUB9h/rMzaoGSpjSWj9+vWsWbOGbdu2sWbNGu67775x51xyySX8+te/ZsuWLTz44IN89atfJRwOZypEcRZUXz9qYDClF6meTDpqZ78Dzf0ALKpLlOiPtr6ZjiMhSHROsIV6McWCOGwWZpXlsU+SUFpkJAn19fXR2NjI8uXLAVi+fDmNjY309/ePOe/666/H6XQCsHDhQnRdZ3BQWqlns0gaLlI9mbW4CsXmlOKELLb3aC9OuwW71Yy3P0is+xhRZwmaNcfo0M7K6AhudF1oQW0hB1v6UbO9/900lJGOCR6Ph/LycszmxFXUZrOZsrIyPB4PRUVFp7zP7373O2pra6moqBh32/DwMMPDw2OOdXV1pT5wMaGI5wiYzNjK69L2HIrJjL1yriShLHaobYDSAifvHkpcz7Wgp2V6FiWMGB3BOXwdhIoWsKC2kJffbufo8aFkTzmRGlnZtufNN9/kkUce4Re/+MUpb3/yySd59NFHMxyVOJVI5xFsZbMxWdLb0sReOZ+ht36PHo+hWKxpfS4xNYFQjONePx+4MLGFhznqg0AfkcprDY7s7GnWHKLO4uS60IKaxLVP+4/1SRJKsYwkocrKSrq7u1FVFbPZjKqqeL1eKisrx527e/duvva1r/HjH/+YuXNPXfJ71113sWrVqjHHurq6WLt2bVriF6em6xphz1HyLrou7c9lr7oA1DgRb2vyAlaRHQ61DaADlcWJ6kjHUGI775A7u7fznkjYXUvOwFHQdfLz7MwqzWX/sT5W3Si/f6mUkTWh4uJi6uvr2bp1KwBbt26lvr5+3FTcnj17+OpXv8oPf/hDLrrootM+ntvtprq6eszXqabtRHrF+j3okWBaixJG2asSLYFkSi77HGwdQOFEi5ucwaOJC4yneRIKFczDEh3GGkoUJFw0t4T9x/rQNOljmEoZq47bsGEDmzZtoqGhgU2bNnH//fcDcPfdd7N3714A7r//fsLhMPfddx8rV65k5cqVNDU1ZSpEMUWjCSETIxOLuxRTjlsq5LLQwZZ+qkrzsFkTa77OwWNQOg/dlJWz/ZMWKkjMxDgHExdjXzS3GH8oRmvX8JnuJqYoY78l8+bN45lnnhl3/PHHH09+/5vf/CZT4YgUiHQeQbE6sJakvwxXURQcVRckq/FEdtA0nabWfj5Qn1gPMsXD2H3HYe5ygyM7d9GcMuLWvERSBS6eVwLAe4d7mVM1PfZHmg6kY4I4axHPEewVc1BM5ow8n71yPrHe42iRUEaeT0ysw+sjEI4zd7Rp6VAzCjpULDQ4shRQFEIFc8kZSUKlhU5qyl3sOthtcGAziyQhcVZ0NU60qzmt1wedLLEupBPpOpax5xRndrA10cpm/sj2DTmDx9AVE5SmflsPI4QK5mIN96P5egFYsrCMfcf6CEfjBkc2c0gSEmcl6m1DV2MZKUoYleycIFNyWWPvkV4K8uzJogTn4DHCrhoUq93gyFJjdF1I9STWppcsKiMW19h3VLonpIokIXFWRgsEMjkSMufmY8kvkwq5LKHrOu8e7uHSC0pRFAVFjeIYbk/+4Z4JInmVqBYH8eMH8PYHKS90YrOY+PN7nfiCsttqKkgSEmcl3H4gkRQKyjP6vPbqBYQ7Dsp231mgrcvHoC/CZQsSC/aOoVYUXSVUMDOm4gBQTITy56J6mtjV5GXv0T4qinN5+2A3obBMyaWCJCFxVsJtjThqLkRRlCndzxeM4u0PjvmayidKZ82FqP4B4gPSpslo7x5OtOi55IJSIHF9kI5CqKDOwKhSL1QwF4a6MEcSpdm1FS4GfRF6BqVAJhUkCYkpiw15iQ/34qi9cMr3DYXj7GryjvmayifK0ecMtx+Y8nOL1HrvcA9VJbmUFZ5YD4q4ZqFZnAZHllrJ64WGEp3BaytcAOw/2mtYTDOJJCExZeG2RAJw1NRn/LmtJdWYnC5CbY0Zf25xQlzV2He0l0sXJEZBuhrDMdw6o9aDRoVd1WCxJy9aLciz48qxydYOKSJJSExZuK0Rkz0HW1nm27IoioKjpp6wJCFDHWobIBRRuWxkKk7zHsOkxWdkEsJkhrL55AwkLg1QFIXaCheNLf3E4rK1w7mSJCSmLNx+AEdNfcYuUj2Zo/ZC4oPdxIflk6hR3jvUg6LAJfMTRQlqZ2J0HMyfY2RY6VO+AHvAgynqB2B2hYtIVGXvEZmSO1eShMSUqIEhYn3Hz2o9KFWcsi5kuHcP9zC/uoC8nMQWHvGW3YRdNWi2PIMjS5PqxQDk9SV+52rKXThsZra/d9zIqGYESUJiSkLtiWkwI9aDRtnK61BsDpmSM0goEqepdYDLRtaD4r4BNO8x/CWn73w/7RXPJm5zk9u7HwCL2cRlC0rZsc9DXHZbPSeShMSUhNsaUSw27JWTm/s/uSQ7ElPPOQbFZMZRvSiZEEVm7T3Si6rpXDo/kYSCh98CwF+62Miw0kpRTPhLLyK3vwlFjQFwxaJyfMEYe2RK7pxIEhJTEm47gL16IYp5crubnlySnapPjY7aC4n1tKMGfSl5PDF5f97TSa7TyoVziwEIHn4bxVVCNHdm7+nlL1mMSY2SM5Do2LF4bjFOu5k/v9dpcGTTmyQhMWlaOEC0uwVnzdmvB4Uicdq7E1fan0vXA1kXMkYsrrFzfxdXXVSB1WJCi4YINe/BUncFTPHC5ekmVDgfzWwnt3cfADarmQ9eWMEbe2VK7lxM712nREaFOw4COo7aqa0H6brOwdYBDrcP0NkTQB3ZmdJqMVFelENBnp2ykQaYk2WvnI9ithJubyR34ZVTuq84e3uP9BIIxbj24koAQsf2oKsxzHOWgN/g4NJMN1kIFC0kr7cRr55IOtddWsVru4+z90gvly8sMzjC6UlGQmLSwu0HwGTGPmvBpO8TCMX4w19aePntdoYDUW64fBbLPzSHj1xRzaLZhQwMh3lw45v8/Hd7CYZjk35cxWLFPuuC5IWzIjP+srcTp92c/IMbOPwmJkcu5orJ/05MZ/7SxViiwzh8HQAsWVSemJLbI1NyZ0tGQmLSQi37sFfOx3SaNv2+YHRMC57WrmEe+/V7DAxHuP6yKi6eV8KiuiKaRvagAbh6cSVHO4bYuv0Yb+7v4tufv5aK4txJxeOouZDBv/wWNeTH7JyhpcFZRFU1duzzcNmCssR0qqYROPQ2lppLiWozeypuVKC4Hl0xkduzn7i6hCFfhIvnlfDn9zpZ07CQIvfMalmUCTISEpMSH+4j0nmYnPlLTnvO+4sQnt/Zyr8++RaaprPqxnlcMr/0lM1ObVYza5ct4rv/cB3BcIx7HtvO8Z7JzevkXHAF6BrBI++c9esSk7e/uY8hf5TLLihlV5OXg2+9CWE/bbZ5582aiGbNIZQ/h7zefURiKruavJQX5eIPxaRA4SxJEhKTEjiUKMPNXXjVhOf6glG2bj+G1Wrm/33y8kmNbC6aW8x3vvAh4qrGPY9t50Bz34Tdtu1V8zHnFRJo2nl2L0pMyV/2eLBZzVw8L9ElIbd3P7piJli8yODIMstfuhh7oAvd5wWgpjwPd66NV3fJhatnQ5KQmJTgoTexFlVhLak+43nhaJwtrx8jpmqsuG4OhW7HpJ9jTlU+3/2H6zAp8J0n3uTV3R1n7LatKCZyF1xJ6Ni7aLHIWb0uMTmapvPG3k6uWFSG3WYGXcPlfY9g4Xw0y+R/xjNBYPSi3ObEBzNFUbhoTjFNbQO0d8slA1MlSUhMSA35CbXuI2fhlWfcP0jTdLbtaGUoEOXj18yhOH9y8+NxVUuOduxWM/939RIiMZXf/7mZaPzMF7fmLLwKPRYh1LxnSq9JTM27h3roH45w3aVVAOT2HcQaHmCoauKR8UwTcxYTLJgHTa/CSJXcorpCzCaF53a0GBvcNCRJSEwoeOQd0NQJp+I2v36MDq+fGy6fxayyyRcKjM6tj355B4J8evmF9A+FeWFnG9oZridyzr4IkyNXpuTS7Pd/biY/z8Y1I6XZ+cffIG5z4S+ZuV0SzmRw1rXg7yWnvwmAHIeVJYvKeOmt9pR0BTmfSBISEwo07cScV4S9av5pz9nV5GXr9mMsml3IhXOKz/k5L5xTzPWXzaLFM8wbez2nPU8xW8iZfwXBw2+ja/Iffzp09wd560AXH7tqNlaLGc3XS27fAYYqr0psc3Ae8pcuBqebguN/SR678fJqAqEYf5amplMiSUickRaLEDr2LrkLr0RRTv3r0jsY4uGn3qGqNI8PX37mNaOpuHh+CYvnFvPuoR4Otw+e9rzchVehhXzS0DRN/viXZhRg2TV1AMQaXwFgaNbVxgVlNJMFLrie3N4DWMKJSw4Wzi5kVmkeW14/dk7dQM43koTEGYWa96DHIuQsOHVXAlXV+N4v3yYWV/mH/3MJVktqf6Wuu6yKiqIcXn67/bSl2865l6FYbAQOvZnS5xYQjak8v7ONKy+qoKwwB12NET/wKoGSeuKOQqPDM9bCGwDIP74DSBQo/J+PzOdIxxBv7u8yMrJpRZKQOKNA005Mjlycs0/dpn/Tcwc50NLPF++4bNIXmU6F2WRi2TV1WC0mHvv1ewRC47sqmGwOnHMuJdj0pnwCTbHt7x3HF4xy64cSm9UFDr2FHhpiqOpagyMznpJXQqB4EfmenTAyFfyRD9RQWZzLU9sOomnyuzgZkoTEaelqnODht8mZfwWKeXxzjbcPdPPrlw/TcPVsbliSumm4k+U6rSy7eja9gyF+8Ktdp/yPO3fhlcSHe4l6jqYtjvONruts3d7MrNI8Lh3Zxnv4nW0orhICxQsNji47DM26FkvUR95IU1OL2cQnP7aQ5s4zr2WKEyQJidPyN25HC/nIu+j6cbf1DCQSQl2lm7tvvzjtsVSV5vGJmxewc38X//PSoXG35yy4EsVqZ+idP6Y9lvPFG3s9HG4f5PYb5qEoCuHOI4Rb92G98CY4zfrg+SZQvIiYo4ii1lfQR8q1b1hSTXVZHk9tO5hs1itOT36TxCnpus7gG89iLa3FOe/yMbdFYioPbtxJLK7x9U99ALs1MxVSN1w+i2suruS/njvICztbx3RQMDvzcF26FP++14kP92UknpksFld5Yut+aitcfPTKWnRdp+/5X2DOLcC6+Gajw8seioneOQ04fO3EDyUq5cwmhTUfW0R7t4/Xd3cYHGD2kyQkTil0dDexnjYKrl455gJVXdf54dO7OXp8iM/ethi71ZzSXVPPJBrXuGR+CcUFTn762z0c6xgac3v+VStA1xl6c2ta4zgfbHm9ma6+IJ+5bTFms4lA43Yix5sovHENik2adL6fr2IJYVcNkR1P093dj7c/yAW1BdSWu/iPzfsYDkQnfpDzmCQhcUqDO36H2VVM3kUfGnP8N68c4bXdx1l1w3w0XU/LrqlnYjGbuOWaOsxmE488vZtB34l2PdaCMvIu/BDDu59HDQfSHstMNeSP8PSLTVyxqIwlC8vQYhH6Xt6ErXwOrktuNDq87KOY8C5YCcFB2l78H3Y1eXn3UA/XXFyJPxjjZ/8r3TzORJKQGCd8/DDh1v3kX7V8zDbef9rVwX/+oZHrL5vFx6+tMyw+d66Nj19bx6A/wref2DlmBJZ/9Ur0aBjfrm2GxTfd/fKPBwhHVT5zW6IbwtCOZ1GHeyn+2N+inKcXp04knD8H5lxJYdsryeuGSgqcrLhuLq/tPi77DZ2Bos+QmtaOjg6WLl3KSy+9RHV1+iq1prt1j23nu1+8bsyx/9p2kDUNi1j32HYunl/CUv9WehrfZsPgHUSwUlrgxGk309adnVtnunNt3HJtHU+/kChY+LzrBWbbhvhv92f49pduZMU/PsuWh1cCsOrrm7lz6QLWNJzo/Hyq9+RMRt+vdDub5znVa1n19c3EVR1FSaxX3Ll0Ac++epSVN8xjTcMi/u6B5+kZDLF4bjF5OVZ27OvCabcQisTJVwL8c8GzNMZmsdF/Qypf3oxTaPJzb/6z7IvW8GTgwyeOu+wMjIzYSwuc9A6F0HWwmBVsFjMrb5g35ucBU/+dnM5kJHSe2Xds/KL9r55vSt724otvETi4gz9HFhIhMQrqGQxlbQICGA5EkwkI4OXQYnL0IDmdb407N67qydc76lTvyZmcfP90OZvnOdVriauJz5m6fuL1ByPx5OP3DIaS992xL3GRZSgSx0qcv3O9CsDm4On3kRIJA1oeL4UWs8TewjX2E7+PA++bMu4ZTCQgSPwsRn8O7/95wNR/J6czSUIiyYTG2rztKDYHr4brjQ7nrB2KV3AsVsptzl3EBr1GhzNN6fx17l+os/SyyX8d/ZrL6ICmhefDF9MYncWdOTtZYJHrhCZDkpBIWu7cxRxLL/YbP4tPn84VUAqbAtehoOP933/HjDQ2napljj1cYW9hS/By9sRqjQ5n2tAwsdF/PV41n7/Ne5Uy09DEdzrPSRISAAQPv8NSZyOvhxcSKL/U6HDOWZ/m4leBa4l0HmaFc7fR4WStdw+NHyl+0HaUW3LeY2dkHi+Gz8+tGs5FBBs/938EFROfc72MWwkaHVJWkyQkKDAF8G75IR3xQn4X/AD3/fwNo0NKifdis3FfcQsfcTYmtycXY61/fEfyexMat+e8xd/k/ZlDsQqeDlwNnH4TQ3F6/ZqL//DfiNsU4mv5W5lvkYampyNJ6DwX6TrGl1zPo8ZibPTfQBwzpQXTeSpurIcPz6M9XoT3dz/At/dVo8PJOh+5IlFJmq8E+bJrGx9xHODV8CJ+6luKipRjn4uWeBn/PvxxQrqNL7pe4GbHXhRmRDFySkkSOk/pus7Q23+k44l1WBWVR/o/Qo/mBmDdpz9ocHSp09YT5ue+m/CayujZ/EM+mfMXrMSNDitrfPm2C7jF+S735G9mlmWAjf7r+W3wSklAKdKlFvDw0K28G53Nipzd/D/3H1lsbTttMgqGx3eJn+nGt0ZOk+bmZu655x4GBwcpKCjgoYceoq6ubsw5qqry7W9/m9dffx1FUfjc5z7HnXfemakQzwsKOp373qZn+7O4+ho5EJ3FpsCHWL70EppfTJSVmk0z57PJdz5/LV9++E88Mngz1/M2Dc691Fl6OfZaLrOvvhGzzWF0iCkXiakc6xjiYGs/7x7uGXe7gkaNuZ8l9mZaf/Q0y5wR9kRr2BJcglfLNyDimS2ClScD13MwVkWDcw93u/6EJ17AnyL1NEZnMaznJM+96/5tyY70sbiW8v25slHGktD69etZs2YNK1eu5Nlnn+W+++7jP//zP8ecs2XLFtra2nj++ecZHBzk9ttv55prrpGLT89BOBqno+U4XUeaCLUf5Jv57xB+1o9Fs7Ldfi0lN95O4Lf7+Jtb6nn6xfHdqae7g62Jq9cf+tIN7Ni/gJ+88CJ35uyE1x+n6bUnac+9kEusBby1cw8lNbWUF+WS47BO8KjG03WdQDhOd1+A7v4gnb0BWruGAfjkP/8+eW3QrJIcCk1+ykzDlJuHqLP0sNDqIc8UQdUVhkuW8FjTLLrUAiNfznlAYWd0Pm9F53K5rYWbHfv469w3IBeOxwtpilXSqRYye+ECtr1zDDCz9r4/cMn8UhbOLmROVT6zK9wU5zswmWbWOl1GklBfXx+NjY088cQTACxfvpwHHniA/v5+ioqKkuf94Q9/4M4778RkMlFUVMTNN9/Mc889x2c/+9kxjzc8PMzw8PCYY8ePJ/Z17+o6uwVAPR4l0LQTLRqZ+OQ0CoajdHj9nNzH4kRjCx1d19F10DUVdB1dU9HjcXQtjhaPo8TDWOJBLGqYPILkmSKYgTzgcKyUtgUN1Cy5mpsqEu99LNhPR0cHsWA/AB5PZ/L76a6vp4tYsJ/X3twPwN4hJ/uGbuBzH8olfuxNyr3vsFxRif/ueVp1M++puYQVBzGzA9XswGSxopgsKBYrmEyYTCauVH38978fRFFAQUk0eE02eVVGjvP+/xlDR0fRQed9P1c98b2OjqYnfsYfUIf45UONaJpGXE18qfE4kZhKLBYHTcWMjknRsKBSZNVZRZQqlw2nEsGqBlF8AbCoyecYjjjYHijnaKyMY/Ey7rjkMtrfPgDMjJ/3dLAjWMAOPkSZeYh5Fi/zLd0stOzhIkWDpldYoEDEakE15zJ02Ipvv4V3MfMmFlTMmG1WbFYbZosFi8WM2WzGZDZhNpsABcVkSvwOKkri35D8/bRaTNRVuk9KZBMnNUfNImwl5zYYqKiowGIZn3IykoQ8Hg/l5eWYzYl5ZrPZTFlZGR6PZ0wS8ng8VFVVJf9dWVl5yqTy5JNP8uijj57yudauXZvi6GeaQ8Cfxx1d+vK/Jr//xPu+n+6+9fLY/x91z8vjzz0ffesloyM4fzUDO40OIoNO11ItY9NxqXTXXXexatWqMcei0Sjt7e3U1dUlk91UdHV1sXbtWp566ikqKipSFeqMIu/RxOQ9OjN5fyY2U9+j072WjCShyspKuru7UVUVs9mMqqp4vV4qKyvHndfZ2ckll1wCjB8ZjXK73bjd7nHH586de86xVlRUyBrUBOQ9mpi8R2cm78/Ezpf3KCOlF8XFxdTX17N1a2Kzsa1bt1JfXz9mKg5g2bJlPPPMM2iaRn9/Py+++CINDQ2ZCFEIIYQBMlb/t2HDBjZt2kRDQwObNm3i/vvvB+Duu+9m7969AKxcuZLq6mo+9rGP8YlPfIIvfvGL1NTUZCpEIYQQGZaxNaF58+bxzDPPjDv++OOPJ783m83J5CSEEGLmM2/YsGGD0UFkC7vdzlVXXYXdbjc6lKwl79HE5D06M3l/JnY+vUczZmdVIYQQ08/M7wkhhBAia0kSEkIIYRhJQqexc+dO6uvr2bRpk9GhZJ3777+fZcuWcdttt/HJT34yWd14vmtubmb16tU0NDSwevVqWlpajA4pqwwMDHD33XfT0NDAihUr+NKXvkR/v7QLOpVHH32UhQsXcujQzOvneDJJQqfg9/v5/ve/z4c//GGjQ8lKH/7wh9myZQubN2/m7//+7/nqV79qdEhZYbRJ77Zt21izZg333Xef0SFlFUVR+OxnP8u2bdvYsmULNTU1fP/73zc6rKyzf/9+3n33XWbNmmV0KBkhSegU/vVf/5XPfOYzFBYWGh1KVvrIRz6C1ZroNH3ZZZfR1dWFpmkGR2Ws0Sa9y5cvBxJNehsbG+WT/vsUFBRw1VVXJf992WWX0dnZaWBE2ScajfKtb32L86loWZLQSV599VV8Ph/Lli0zOpRp4amnnuLGG2/ENIP2IDobZ2rSK8bTNI1f/epX3HTTTUaHklUeeeQRbrvttvOiXc+oadnA9FysWrXqtJ++nnvuOR5++OHklhPnqzO9R3/5y1+Sf2h///vfs2XLFp566qlMhidmgAceeICcnBz+5m/+xuhQssbu3bvZt28f//RP/2R0KBl13iWh//3f/z3tbW+//TY9PT3J3VwHBgZ45ZVXGBwc5Etf+lKmQjTcmd6jRlWkpAAAAkpJREFUUS+88AI/+MEP2LhxIyUlJRmIKrtNtkmvgIceeojW1lZ++tOfnvcj6Pd76623OHr0KEuXLgUS3bQ/85nP8N3vfpfrrrvO4OjSRy5WPYN77rmHxYsXy6e1k7zyyis88MADPPHEE8yePdvocLLGpz71Ke64447k7sG//vWv+eUvf2l0WFnl3//939m9ezc///nPcTqdRoeT1W666SZ++tOfsmDBAqNDSavzbiQkzt26deuwWq185StfSR7buHHjeV/IsWHDBu655x5+/OMf43a7eeihh4wOKascPnyYn/3sZ9TV1fHJT34SgOrqah577DGDIxNGkpGQEEIIw8iErBBCCMNIEhJCCGEYSUJCCCEMI0lICCGEYSQJCSGEMIwkISGEEIaRJCSEEMIwkoSEEEIYRpKQEFmira2NK6+8kv379wPQ3d3N1Vdfzc6dOw2OTIj0kSQkRJaora3ln/7pn/ja175GKBTi3nvvZdWqVWP24BFippG2PUJkmc9//vMcP34cgN/85jfYbDaDIxIifWQkJESW+cQnPsGhQ4f41Kc+JQlIzHgyEhIiiwQCAVauXMlVV13Fa6+9xpYtWygoKDA6LCHSRkZCQmSR73znOyxevJjvfOc73Hjjjaxfv97okIRIK0lCQmSJF198kddff50NGzYAiU0VGxsb2bx5s7GBCZFGMh0nhBDCMDISEkIIYRhJQkIIIQwjSUgIIYRhJAkJIYQwjCQhIYQQhpEkJIQQwjCShIQQQhhGkpAQQgjDSBISQghhmP8fGSKfTySMhX8AAAAASUVORK5CYII=\n", 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" ] @@ -456,9 +529,7 @@ } ], "source": [ - "sampler = pypesto.MetropolisSampler({'std': 1})\n", - "result = pypesto.sample(problem, 1e4, sampler, x0=np.array([0.5]))\n", - "\n", + "pypesto.geweke_test(result)\n", "ax = pypesto.visualize.sampling_1d_marginals(result)\n", "ax[0][0].plot(xs, ys)" ] @@ -487,10 +558,34 @@ }, { "cell_type": "code", - "execution_count": 14, + "execution_count": 17, "metadata": {}, - "outputs": [], + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "100%|██████████| 10000/10000 [00:11<00:00, 899.49it/s]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "CPU times: user 11.2 s, sys: 473 ms, total: 11.7 s\n", + "Wall time: 11.1 s\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "\n" + ] + } + ], "source": [ + "%%time\n", "sampler = pypesto.ParallelTemperingSampler(\n", " internal_sampler=pypesto.MetropolisSampler(),\n", " betas=[1, 1e-1, 1e-2])\n", @@ -499,12 +594,12 @@ }, { "cell_type": "code", - "execution_count": 15, + "execution_count": 18, "metadata": {}, "outputs": [ { "data": { - "image/png": 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\n", + "image/png": 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\n", 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\n", + "image/png": 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\n", 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" ] @@ -524,7 +619,7 @@ }, { "data": { - "image/png": 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\n", + "image/png": 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\n", 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" ] @@ -534,6 +629,7 @@ } ], "source": [ + "pypesto.geweke_test(result)\n", "for i_chain in range(len(result.sample_result.betas)):\n", " pypesto.visualize.sampling_1d_marginals(\n", " result, i_chain=i_chain, suptitle=f\"Chain: {i_chain}\")" @@ -562,33 +658,46 @@ }, { "cell_type": "code", - "execution_count": 16, + "execution_count": 19, "metadata": {}, - "outputs": [], + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "100%|██████████| 10000/10000 [00:04<00:00, 2292.14it/s]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "CPU times: user 4.42 s, sys: 24 ms, total: 4.45 s\n", + "Wall time: 4.38 s\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "\n" + ] + } + ], "source": [ + "%%time\n", "sampler = pypesto.AdaptiveMetropolisSampler()\n", "result = pypesto.sample(problem, 1e4, sampler, x0=np.array([0.5]))" ] }, { "cell_type": "code", - "execution_count": 17, + "execution_count": 20, "metadata": {}, "outputs": [ { "data": { - "text/plain": [ - "array([[]],\n", - " dtype=object)" - ] - }, - "execution_count": 17, - "metadata": {}, - "output_type": "execute_result" - }, - { - "data": { - "image/png": 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\n", 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OsqpxyeuQysrKeOutt3jrrbfQaDQ88MADGAwGtm7dyq5du6TpqRCij/rmTjqtduIVXhB7rp7p5+U1zUwbH6NwGgGXUJC2bt3K9u3bOXPmDDfffDPPPvss06dP7/33zMxMrrzySpeEFEJ4LlPPgliVFaSIUD+0Gg3l1c1KRxFnDbogffLJJ/zoRz9i4cKF+Pr69vv3gIAAXnjhhWENJ4TwfCZzG/6+OsKC+79uKEmn1RIR6icFSUUGfQ1p7ty53Hzzzf2K0aZNm3o/v/rqq4cvmRDCK5jMrcRHKdtQ9UKiwwIor75w13HhXoMuSC+++OJ5b3/55ZeHLYwQwru0tHVR39ypugkNPaLDA2ho6aSxpVPpKIJBDNl99tlnANjtdvbv34/T+c0UyYqKCoKC1DUuLIRQj+LKRgDVTWjoERXmD0BJVSPTx8cqnEYMWJB+8YtfANDV1cVjjz3We7tGoyEmJobHH3/cdemEEB6tuKIRjQZiI9R7hgRQUtUkBUkFBixIu3fvBuDnP/85zz77rMsDCSG8x6nKBmLCA9D7qLNtZoCfDxEhfpRUNSodRXAJ15CkGAkhLoXN7qCkqlG1w3U9kmJDKKlqUjqGYIAzpJtvvpl//vOfAFx33XUXnCXz0UcfDXswIYRnK61qosvqUO2Ehh7JccG8u/8MVpsdvY96WhuNRBctSE8++WTv57/5zW9cHkYI4T2Ol1oA9U5o6DEqLgS7w0l5dQtjEsOUjjOiXbQgzZ49u/fzuXPnujyMUE5zWxftHZe2vUiAvw8hgepa7CjUo/CMhYgQP4ID9EpHuajkuBAATlc2SkFS2KA7NWzatIkrrriCjIwMDh06xH/+53+i1Wr53e9+x4wZM1yZUbhBe4eNg0U1l/Q1M9NjpSCJCyostTAmMUyVC2K/LTYiEF+9jhKjTGxQ2qAnNWzevJmkpCQAfve73/HDH/6Qe++9l6efftpl4YQQnsnc2E5NfTtjk8KVjjIgrVZDiiGEUpnYoLhBF6Tm5mZCQkJoaWmhqKiIu+66i9tvv52SkhJX5hNCeKDCM/UAHlGQAFITwjhd2dhn4b9wv0EXJIPBwMGDB9m5cyezZ89Gp9PR0tKCTiezUoQQfRWWWtD7aBkVH6J0lEFJTQijpd1KXUOH0lFGtEFfQ/r5z3/OAw88gK+vL3/4wx8A+PDDD5kyZYrLwgkhPFNhqYWxSeH46NS5IPZcqQmhAJQYG4mJCFA4zcg16IJ03XXXsXfv3j63LVq0iEWLFg17KCGE57La7JyqaOTWa8YoHWXQUgxnC1JVI3MnxiucZuS6pB1jm5ubKSkpobW1tc/t8+fPH9ZQQgjPVVzRiM3uYEJKhNJRBi3QX48hOoiSSpnYoKRBF6S///3vPPHEEwQGBuLv7997u0aj4YMPPhjw60tKSnj00UdpaGggPDyc9evXk5KS0ueYN954g82bN6PVanE4HNx+++384Ac/GPx3I4RQXOGZ7gWxE0ZHYrU5FE4zeGMSwjgtPe0UNeiC9Nxzz/H8889z3XXXXdYDrVmzhpycHLKzs9m+fTurV6/m1Vdf7XNMZmYmt912GxqNhpaWFpYsWcLcuXOZMGHCZT2mEML9jpdaiIsMJCLUnxpLm9JxBi01MZR9R6po67AS6K/uxbzeatBXHO12+2XvCGs2mykoKCArKwuArKwsCgoKsFgsfY4LDg7uXUTX0dGB1WpV/aI6IcQ3nE4nhaUWMlIilY5yycYkdHdpKDXKsJ1SBl2QVq1axcsvv4zDcemn4Eajkbi4uN4p4jqdjtjYWIxGY79jP/jgAxYvXsz111/PPffcQ3p6er9jmpqaqKio6PNhMpkuOZcQYnjV1rdjaepkgicWpLNtg0oqZdhOKYMestu8eTN1dXX86U9/Ijy872K34ez2vXDhQhYuXEhVVRX33Xcf1157LWPG9J2ts2XLFjZs2DBsjymEGB49DVUnjPacCQ09IkP9CQn05bR0bFDMoAvSULp9GwwGqqursdvt6HQ67HY7NTU1GAyGC35NQkICU6ZM4aOPPupXkFauXMmyZcv63GYymVixYsVlZxRCDF3hGQv+vrreadSeRKPRMCYxVCY2KGjQBWko3b6joqLIyMggLy+P7Oxs8vLyyMjIIDKy72l9cXExaWlpAFgsFg4cOMBNN93U7/5CQ0MJDfW8J7wQ3q6w1ML4URHoPGRB7LlSE8LYsa8Eu93hsd+DJxv0/3hXVxfPPfccCxcuZNasWQDs3buX3NzcQX392rVryc3NJTMzk9zcXNatWwd0X5vKz88H4PXXX2fx4sVkZ2fzwx/+kDvvvPOyJ1IIIdyro9PG6aomj5zQ0GNMYhhWm4OK2halo4xIgz5Devrpp6murua3v/0tq1atAmDcuHE888wz3HnnnQN+fVpaGtu2bet3+8aNG3s/f+yxxwYbRwihMifK63E4nB45oaFHz0y7kspGRsfLKIy7Dbogvf/+++zatYvAwEC02u4Tq7i4OKqrq10WTgjhOTx5QkOPxNhg9D5aSqqaWDBL6TQjz6CH7PR6PXa7vc9tFoul34w7IcTIVFhaz6j4EII9eNNGH52W0fEhMrFBIYMuSIsWLeKRRx6hvLwcgJqaGp544gkWL17ssnBCCM/gcDg57qELYs+VmhBGSZXsjaSEQRekBx98kOTkZG699VaamprIzMwkJiaG++67z5X5hBAeoKKmmdZ2KxNGe0dBamzpwtIkeyO526CvIZWVlZGamsq//du/YbfbufHGG8/bRUEIMfIcL+3eIXZiqucXpN6ODVVNRIXJ3kjuNGBBcjqdPPbYY7z55pvEx8cTGxtLdXU1L774ItnZ2Tz99NPSb06IEe54qZnQIF8M0UFKRxmynkW9pysbmZ0Rp3CakWXAgvT666/z+eef8/rrrzN16tTe248cOcLPfvYz/vrXv3LHHXe4NKQQQt16Gqp6w5vToAA98VGBnJaedm434DWk7du38/jjj/cpRgBTp07lscceY/v27S4LJ4RQv8aWTiprWz16/dG5xiSGSUFSwIAFqbi4mDlz5pz33+bMmUNxcfGwhxJCeI7Cs+uPvGGGXY+xSeEYza20tFuVjjKiDFiQ7HY7wcHB5/234ODgy9qOQgjhPY6XWvDRaRib7D1rEtOSur+X4ooGhZOMLANeQ7LZbOzfv/+Cc/LPXSwrvJfV5qDa0kp0eAD+voOeoCm8XOGZetISw/HT65SOMmzSzs60K65oYNq4GIXTjBwDvqpERUVdtMfcuR27hXdxOp2UGJs4Vd5ASVUTNruDQH8frp+VzMz0WKXjCYVZbQ5OltVz85WpSkcZVmHBfsREBFBcIdeR3GnAgrR792535BAq9Wm+kUMnavH31ZE+OoLEmCC+PF7Djn0ltLR1cd/t0wnwk7Mlb9fc1kV7h63f7acqGuiyOUiMCaLG0tbv3zutnjuCMjYpnFMyZOdW8koiLuh0ZSOHTtQyaUwU105PRKvtntI7JiGMA8dMfPJ1JSZzG+vvvwad1vOn+4oLa++wcbCopt/tPbe1d57/39M9uNFqWlIYn+UbaW23EhSgVzrOiCA7UInzamzp5IMvy4iNCOCaaQm9xQhAp9Ny5dQE/vXWSRSV1fPOZ6WK5RTKMta1EhbsS6C/971gpyV2T2yQ6d/uIwVJ9GOzO3hn/xk0aMi8IuWCO2fOn2xg2rho/m9nAfXN0vdrpHE6nZjMrSREn38Wrqcb2zPTrlKG7dxFCpLoZ3++kbqGdm6cM4rQoAtvJaDRaLj3X6bRaXXwytvH3JhQqEF9cycdXXavaBd0PuEhfkSH+XOqXM6Q3EUKkuijtd1K/mkzE1MjSUkYeMfMxJhg/uX6sXz0VQVHTtW6IaFQC2NdKwCGKO8sSNC9HkkmNriPFCTRx+GTtTgdzkua0n37jeOJiwzk5TeOYLPLQumRwljXSoCfD2HBnrsh30DSksKpqmuhrUM6NriDFCTRq6PLxtHTZsYmhxMW7Dfor/PT67j71klU1LRw4KjJhQmFmhjNrSREB3lFQ9ULGZsUhtPZvRWFcD2Z9i16HS02Y7U5Bn12ZLM7eteepBrCiA7z5x8fn2LcAC1kAvx9CPHgba4FtLRbaWrtYurYaKWjuFTPxIZTFQ1MGhOlcBrvJwVJAN0LGA+frGV0fAjR4YPblKzTaufIqbrev48bFcFn+Ube+7yMqDD/C37dzPRYKUgezljXAnj39SOAiFB/IkP95TqSm8iQnQBg76FKOrrszJxw+e2AMlIi0Wk1HDtdN/DBwqMZ61rx0WkH/ebFk6UlhUmTVTeRgiSwn113ZIgKGtKakgA/H8Ymh1N4pp4uD24ZIwZmNLcSHxXYZ8G0txqbFE5FTQvtnf1bJ4nhJQVJ8PWJWixNHUwbP/TrAZPHRGG1OSgqqx+GZEKNOq12zA0dXrv+6FzjR0XgdMKpcjlLcjUpSILdX5YTHKAnxTDwuqOBxEUGEhMRwNFi8wW3LBGezWRuxYn3Xz/qMX5Udz++wjMWhZN4P7cVpJKSEpYvX05mZibLly+ntLS03zEvvvgiixcvZsmSJdx2223s2bPHXfFGrJa2LvYfNTJvUjw67dCfDhqNhilp0ViaOqg6u3BSeJeq2la0GoiPClQ6iluEBvmSGBNE0Rk563c1txWkNWvWkJOTw7vvvktOTg6rV6/ud8zUqVP529/+xttvv83TTz/Ngw8+SEeH9EhzpT2Hq7DaHFw5NWHY7nNccji+Plr5BfZSlbUtxEYGovfxng35BpI+OpKisno563cxtxQks9lMQUEBWVlZAGRlZVFQUIDF0vcU+JprriEgoHvWTnp6Ok6nk4YGGbd1pQ++KGN0fAij40OG7T59dFpSE8M4XdmIXTo3eJUum53a+javbah6IemjI2ho7qSmvl3pKF7NLQXJaDQSFxeHTtf9jkqn0xEbG4vRaLzg17z55puMGjWK+Pj4fv/W1NRERUVFnw+TSToEXKqKmmaKztRzw+xRw77aflxSOJ1WO2XVzcN6v0JZpro2HM7uHoYjSfrZ60hFch3JpVS5MPbzzz/n+eef55VXXjnvv2/ZsoUNGza4OZX32f1lOVqthgWzkrDZhvdMJikuBH9fHSfLG0hNCBvW+xbKqaxt6b5+FD0yrh/1SDGE4qvXUXSmnmtnJCkdx2u5pSAZDAaqq6ux2+3odDrsdjs1NTUYDIZ+x3799dc8/PDDvPTSS4wZM+a897dy5UqWLVvW5zaTycSKFStckt8b2R1OPvyynJnpsUSG+p93++mh0Gk1pCWFU3SmHqvNPqKuN3izqroWYiIC8fWin+e3W2BdTIohhKPF5t5jpQXW8HNLQYqKiiIjI4O8vDyys7PJy8sjIyODyMjIPscdOXKEBx98kD/84Q9MmjTpgvcXGhpKaOjQpyiPZPmnaqlr7ODu7Mkue4xxSeEcO22m1Ng8YH87oX5Wm50aSxvTx19+Nw81OrcF1oUE+es5fKqOLwpM6HRaaYHlAm6bZbd27Vpyc3PJzMwkNzeXdevWAbBq1Sry8/MBWLduHR0dHaxevZrs7Gyys7MpKipyV8QRZc+hKgL8dMyd2P8a3XAxxAQR6O8jCwq9hMncc/1oZKw/Old8VBAOh5PaBpnY4Cpuu4aUlpbGtm3b+t2+cePG3s/feOMNd8UZ0Wx2B5/lVzFvkgFfveuGXrQaDWPPniV1Wu34ufCxhOtV1rag0XS/MI9EcZHd182qLW0j9v/A1aRTwwh05GQdzW1Wrp42fGuPLmRccjh2h5OSKtkG2tNV1bYQGxHo0jcxahYUoCc4UI/JPLzXW8U3pCCNQHsPVxLo78OMS9gV9nLFRQYSEqjnpAzbebTOLjvVlvYRO1zXIz4ykGqLdCBxFSlII0z3cJ2RuZPi3fJOV6Ppnm1XUd1Cp3QA91jFlQ04nM4RtyD2XHGRQTS3WWltly3NXUEK0ghz+GQtLe1WrpmW6LbHTEsMw+F0csYo20B7qsIz9Wg0jJgO3xfS07+vepiXSYhuUpBGmL2Hqs4O18W47THjIgMJ9PfhdKVcR/JUhaWWEX39qEdMeAA6rYaq2halo3glKUgjiNXm4LOjRq6YbHDrQlWNRsOYxDDOmJqxDnNHCOF6LUPQRiAAABtISURBVO1WTlc1khw7sofrAHQ6LfFRQVTWSUFyBSlII8jhk7W0trtndt25xiSEYbM7KJfedh4n/1QtTickxw1fA15PlhgTTF1DBy1yHWnYSUEaQfYcqiTI30eRlfYJMcH4+epk2M4DfV1Ui5+vjrgRsv/RQHpmGp6UXZGHnRSkEcJqc3DgmIl5kw3ofdz/Y9dpNaQaQik1NmGTLSk8yqETtUwYFTEsGzh6g7jIQHRaDUVSkIadPMNGiJ7huqsUGK7rMSYxjE6rnULZuM9jmMytGM2tTBoTpXQU1ei5jiTP4+EnBWmE+PTI2dl14903u+5cyXEh+Oi0fF1Uo1gGcWm+PlELwMRUKUjflhgTTEV1M81tXUpH8SpSkEYAm93B/qPdi2GV3AbCR6clxRDCwaIa7A7ZCtoTHDpRQ3R4QO/6G9EtMSYIJ3DstFnpKF5FCtIIcOTU2d51U5UbrusxJjGMptYuCktl5021szucHD5Zx4zxMcO+o7Cni4sMRO+jJb944G0rxOBJQRoBPj1SRYCfe3rXDWR0fCg+Oi2f5lcpHUUM4FR5Pa3tVmZ42f5Hw0Gn05KWFE7+IPZREoMnBcnL2Xt61010T++6gfjqdUwaE8ln+UacThm2U7OvT9Si0cDUcdFKR1GlCaMiKDU2yXWkYSQFycsdLTbT1NrFVdP6bxevlFkT4qitb5cO4Cp36EQtYxLDCAv2UzqKKqWPjsDp7P4dE8NDCpKX23ukCn9fHTMnxCkdpdf0cTHotBo+PSLDdmrV0m6lsNQiw3UXkZoQhq9cRxpWbtsxVrhHc1sX7R02AOwOB58eqWLK2Ggamzsv+nXu3BoiKEDP1LHRfJpvZOXiiXLBXIUOFlZjdzhdusW9p9P7aJk4JkqWMQwjKUhepr3DxsGzvyDl1c00tXYRFebfe9uFpI+OcEe8XldOTeDFvx2m1NhEakKYWx9bDOzAMRPhwX6Md/PzwtPMyYhj4/ajGOtaR/zWHMNBhuy82Inyenx9tIyOD1U6Sj/zJsej0cCnR4xKRxHnsNkdfHW8mjkT49Bp5ez1YmZP7B4K/+K4SeEk3kEKkpey2x2crmxkTGIYPjr1/ZgjQvyZmBol079V6FixmdYOG3MnyXDdQBKig0mMCebLgmqlo3gF9b1SiWFxxtRMl9XBuORwpaNc0JVTDZSZmqmokS0p1ORAgQlfHy3TFWwz5UnmTIwjv9hMe6dN6SgeTwqSlzpZXk+Anw9Jserdw+bKKd2dI/YdlrMktXA6nRw4amT6+Fj8feUS82DMmRiHze7g0Nm+f+LySUHyQl02O6XGJtKSwtCq+BpAdHgAk8ZE8fHXFbJIViVKjU3U1LfLcN0lmJgaRaC/D18UyHWkoZKC5IVKq5qw2Z2qHq7rcd2MRMqrWyg1NikdRQCfHzOh0cDcSepZt6Z2PjotM9Jj+aqwGoc0DR4SKUhe6GR5A8EBegxR6p+GeuXUBHRaDR8frFA6igD2HzMxflQEESH+SkfxKHMy4rA0dcqOyEMkBcnLtLRbKTM1My453CMWnIYF+zEjPZaPv66Ud5cKMze2c6q8gXkyXHfJZk2IQ6OBL47LbLuhcFtBKikpYfny5WRmZrJ8+XJKS0v7HbN3715uu+02Jk+ezPr1690Vzat8UWDC4fSM4boeC2YmUdfQznHZkkJRPWvCrpisnr6HniI8xI/xyRFyHWmI3FaQ1qxZQ05ODu+++y45OTmsXr263zHJyck89dRT3H333e6K5XX2HKokKsyf6PAApaMM2rxJ8fj56mTYTmEfHSxnTEIYyXHqnZmpZnMmxXGyvIHa+nalo3gstxQks9lMQUEBWVlZAGRlZVFQUIDF0vcd8ejRo8nIyMDH5+LTTZuamqioqOjzYTLJO5OSqkbOmJrJSIn0iOG6Hv5+PlwxycDew5VYbQ6l44xIVbUtnChrYMGsJKWjeKxrpicC8MnX8sbqcrlloYHRaCQuLg6drns/Hp1OR2xsLEajkcjIyEu+vy1btrBhw4bhjunxdh04g49OQ/ooz+s/dt3MRD7+uoKvT9RIQ08FfHSwAo0Grp2RqHQUj5UQHUz66Ag+OljBv9wwTuk4HskjV76tXLmSZcuW9bnNZDKxYsUKhRIpr8tq56OvKpiRHou/n+f9WGekxxIS6MvHX1VIQXIzp9PJR19VMHVsNFFhnjPUq0YLZibxP//Ip6SqUZoGXwa3DNkZDAaqq6ux27u3OLDb7dTU1GAwXN7F09DQUJKSkvp8xMeP7BexA0dNtLRbuWaaZ77D9dFpuW5GIp/mG2lsufhWGWJ4FZXVYzS3smBmstJRPN410xPRyjKGy+aWghQVFUVGRgZ5eXkA5OXlkZGRcVnDdeL8dn1+htiIADJSPff/dNH8FGx2B7u/LFc6yojy8VcV+PpouXKqzK4bqrBgP2amx/LxwQpZxnAZ3DbLbu3ateTm5pKZmUlubi7r1q0DYNWqVeTn5wPw5Zdfcu2117Jp0yb++te/cu2117Jnzx53RfRYNZY2Dp+s5cY5o9B60GSGc402hDIxNZJ3PiuVX2Y3sdkdfHKokrmT4gn01ysdxyssmJlEXWMHx07L1uaXym0XG9LS0ti2bVu/2zdu3Nj7+ezZs/nkk0/cFclrvPd5GQAL54xSOMnQ3Tw/hd/95SD5p+qYJt2mXe7rohqaWru4fpYM1w2XeZPi8ffV8dHBCqaMjVY6jkeRTg0erstq553PSpmZHktsZKDScYbsyqkJhAT68s/9pUpHGRHe/6KMkEBfZqTHKh3Fa/j7+TB/ioF9hyvpstqVjuNRpCB5uI8OVtDQ0smy68YqHWVY+Op1LJyTzP58I/VNHUrH8Wo1ljb25xu5ad4o9D7yUjCcFsxKprXDxoFjsj7yUsiz0IM5HE7e/PgUqQmhTB3nPUMDi+anYHc4e4cihWvs2FcCGg23XJWqdBSvM21cDPFRgbz1SbHSUTyKFCQPdrCohvLqFpZeN9ajOjMMJDEmmGnjonl3fyl2mdzgEh2dNt49cIb5UwzERnj+UK/a6LQabr0mjcIz9RRKj8ZBk4Lkwf7x0Smiwvx7W5Z4k8VXpVJT387eQ5VKR/FKu78qp7XdSvY1aUpH8Vo3zh1FkL8Pb8pZ0qB53pJ+AUBxRQNHTtXxw8UTvXL8f94kA6PiQ3j9/aLexYZieDgcTt765DRjk8OZkOJ5babUwmZ3UGNpu+gx18xI4t39pRScNhMdHkCAvw8hgb5uSuh5pCB5qDc/LibAT0fm/BSlo7iEVqvh+zem82zul3yaX8XVHtqBQo32HamisraFVdmTB92ZulNmi/XTabVz5FTdRY+JiwhAA/xlVyFXT0tk5tkWWeL8pCB5oMraFj45VEnW1akEB3jeYsbBvLMEGJccjiEqiK3vFDI2KZygAL38Mg+DnftKCPT3QafTcLCoZlBfkz5azqQuR3CgL2OTwykosTBHejQOSAqSB9qyowA/vZbvemhH4cG8s+wxKS2K9z8v4+8fnuK7N4yTgjREBSVmjp42c8XkeHRa7xvqVaNp42I4UdZAQYmZ+bL54UXJM9LDFJSY+SzfyL9cP46IEH+l47jcuKRwwoJ9+eK4CadTZtwNhdPpZNPbxwgL9mWqdBBwm9iIQBJjgjlYWENbh1XpOKomBcmD9LygRIb6kX3tyJgdpdVqmDUhjrqGjkEPL4nz+/SIkcIz9Sy9Ng29j07pOCPKVVMNdHTZeXtvidJRVE0Kkgf5NL/7BWXFogyP3PPoco0fFUFkqD9/fe8E7Z02peN4JKvNwZadBYyKD5EJIgqIiQgkIyWSD74oo6q2Rek4qiUFyUNYbQ627Oh+QfGGJqqXQqfVsGBmEpamDv7ybqHScTzSO5+VYqxr5UdZk2QKvULmTY5H76PllbePKR1FtaQgeYi/f3iy9wVFNwJfUAzRQVw3I5G3PimmuKJB6TgepbXdyl/fK2Lq2GhmTZAmqkoJ8tez+KpUDhwzceiEDD+fjxQkD3CyvJ7XdhVx7YxEZmfEKR1HMf9y/ThCg/3Y8LfD0lLoEvzPP47Q0tbFj5ZM8qoWU57oO3NHERcZyMbtR7HaZG3XuaQgqVxHl43f/+Ug4SF+3HvbVKXjKCooQM+q7MmcKm8gb+9ppeN4hI++KufDryr4/nfSGZsUrnScEU/vo+Pflk2hzNTMn9+SobtzSUFSuS07CqioaeE/vz+DYFmDwzXTu88SN+cdkx05B2Ayt/LSG0fISInkezeOVzqOOGvOxHiWXpfGjn0l7JFejX1IQVKxg4U15O0t4dZrxjB9vIz9A2g0Gn6WM5PYiECe2fI51YPo+DAS2e0Ofrv1K7QaeGjFLHQ6+VVXk5WLJzJhdAQv/L9DMuvuW0bO3GEPc7qykV9tOkBYsC9v7TnN6cpGjn7rjOCOm9LZ/nExQQF6XvnlTSz52XYANIATCA7Q09LuGYvw9D5arDYHAFoNfPvy0JyMOL44Xs19353G3U+9h49Ow+0LxzMjPZYd+0q456n3CPDVodFo6LLZiQjx55Vf3jTgY/7l3UJyMie46lty++Muf2wHrz+9GOher/bIi3spOlNPSKCe2MjA3ueHj06Dzf7Nf7DeR8v0cTF8cbx62DONdAnRQVTVtfZ+DvDi3w4D8PbvsjlZXk+gv55fv/oFv3ngWvz0Opb8bDtv/y4bgH99chcAr/zyJv77xb08c9/VCnwX7iVvm1TIWNfKmo2fYbU5aGzpAuhTjABe21VEW6eN2ob2Pn3hel5qPKUYAb3FCPoWI6DfC6XN7uS1XUXdm8ud1d5lp63Ths3upLZhcM1CX9tVdPmBh8BVj9v2rfVZW98ppOhMPQDNbX2fB98uRtD9fy/FyDV6ilHP59/+O4DdAf+VM4tSYxO/+vMBOrr6rrGrbWjvfT6f+/vvraQgqYylqYNf/s+n2O2Dn0UmHQxEj7++V8Tr759QOoYYpNkZcfzH8hkcOVXL2o37lY6jOClIKmIyt/LL//mUxpZO1q66Quk4wsP8v/dPsPWdQm6Ynax0FHEJFs4Zxc9WzOL42Z1lWz1odGO4SUFSia8Kq3nwuY8xN3bwy7vnMX6UtPu/XCfK6pWO4FYtbd3Duv/3z+NcOyORB5bPUDiRuFTXzkji0R/MBuBnz3884p7DPWRSg8LsDidv7D5J7jvHGR0fymM/nIvh7AVQcXke+sMnLL4qlbtuziDQ3/P2i7oUx0ss/GbrlwD8KGsSS69Lk9ZAHmr+lAQAOq0OHn5hj8JplCEFSUEHi2rYnHeMkqomrpuRxL/fPm1ENU11lcVXprJjXwmf5Rv5wS0TuWZ6otdt815taeP194r44MtyYsIDALjt+rEKpxLDYcND1/O/b+az+8tyoHuH35FCXv3czOl0UlBi4fX3ivj6RC1xkYE8fOcsrpmeKG1dhsmyBWOZNi6GV/95nOdeO8iWHce45cpUFs1PISzYT+l4Q1JR08z2T07z3oEzaLUabrkyhTsXZfD9x3cqHU0Mk6AAPQ/eMbO3IP16yxcAvP/5Ga6alkiAF79pddt3VlJSwqOPPkpDQwPh4eGsX7+elJSUPsfY7XZ+9atfsWfPHjQaDT/+8Y+5/fbb3RXRZZxOJxU1Lew5VMmHX5VjMrcRHKDn7lsns/iqFNmbZpj1zDpccnUqvj46PjlUSe47hfxlVxGTUqN6+wE6nU7VvwlwOJxU1DSz/6iJvYcrKalqwkenZdH8FG6+MoUAX5/ei+AX2hZ+MNvFC/fq+Zmc72dz7m0/WTaFP/4jn+dfP8TLbxxhRnosV0w2MCM9hqiwALfkdRe3FaQ1a9aQk5NDdnY227dvZ/Xq1bz66qt9jnn77bcpKytj165dNDQ0sHTpUubPn09SUpK7Yg5Zl9WOydyKydxGeXUzx0stFJ6x0NjShUYDU8dGc8dN6cyfkuDV73TUQKPRMGVsNAvnjqLM1MRHByv4oqCaTXndPcRyfvlPxiSGkZYUzqi4YGIiAomLDCQqLMDtQ3x2h5OG5g5M5jaqLa1U1bZyoqyeE2X1tHZ0r0+ZMDqCVdmTuWpaAlFhAdRY2vpM+b/Q9H9ZFqA+PT+T8/1szr2tp8vG0z+9is/yjXyWb+TAMRMAkaF+jEuOYExiGPFRQcRHdT+Hw4P9PLI7h1teEc1mMwUFBWzatAmArKwsnnzySSwWC5GRkb3H7dy5k9tvvx2tVktkZCQ33ngj77zzDvfcc0+f+2tqaqKpqanPbZWV3T2hTCbTZWV0OJx8ll9FU5u1d6tsh9OJwwE4ndgdZz/sTmwOB11ddjqt3R/tHTaa26y0tHf1m7IZGxHIuKRwxs2OY0paNBGh3duOm2sHzmltswwqu7nWNOhjPdWlfI/f/r81htroavNHC9wwNZQbpoZibuzgkQ17mJKeSJnJxOFjp7DZHX3uw9/Xh+BAPUEBevx9ffDVa/HT69D76PDRadDpNOi0WjQa0Go0fc60ep8/Dmf3c8h59nljd2Jts/DI7/Po7LLTZbXT2mGjpb2Ltg4r396hXaOBpNhgpo4OY0xCNBmpUUSFdT932pvNVDSDubEDc20d0P1c+fb3/e3/q5Hw/PA0PT+Tc18Hvn1bz8+s59gIvw5umR3BzbPCKatu5mR5A6XGJk4Wn2Hfl619nj8Agf56QgL1BPnr8fPVdX/ofdD7aPDx0aLX6dBqu5/L2p7nsVaDRgMauv+E7jd2Pc9urVbD3IlxhIf4D+n7j4+Px8enf/nROJ3nfhvD7+jRozzyyCPs2LGj97ZbbrmF3/zmN0yaNKn3tiVLlvDUU08xdWp3V+uNGzdSXV3N448/3uf+XnjhBTZs2ODq2EIIIVzggw8+OO/Il0eOGa1cuZJly5b1ua2rq4vy8nJSUlLQ6Vx/TcZkMrFixQq2bt1KfHy8yx/vcqg9o+QbGrXnA/VnlHxDc7n5LnSsWwqSwWCguroau92OTqfDbrdTU1ODwWDod1xVVVXvGZLRaCQhIaHf/YWGhhIaGtrv9jFjxrjmG7iI+Ph41V/jUntGyTc0as8H6s8o+YZmuPK55apXVFQUGRkZ5OXlAZCXl0dGRkaf60cAixYtYtu2bTgcDiwWC++//z6ZmZnuiCiEEEJhbpuGsXbtWnJzc8nMzCQ3N5d169YBsGrVKvLz8wHIzs4mKSmJm266ie9973vcd999JCdLXy4hhBgJ3HYNKS0tjW3btvW7fePGjb2f63S63kIlhBBiZNGtXbt2rdIhPJWfnx/z5s3Dz0+9q//VnlHyDY3a84H6M0q+oRnOfG6Z9i2EEEIMxPOW8gohhPBKUpCEEEKoghSkIXr55ZdZsmQJS5cuJTs7m5071dd1ed26dSxatIhbb72V73//+72zGtVi+/btLFmyhIkTJ5Kbm6t0HKC7GfDy5cvJzMxk+fLllJaWKh2pj/Xr13PDDTeQnp7OiRPq27K8vr6eVatWkZmZyZIlS/j3f/93LBZ1tS/66U9/yq233srSpUvJycnh+PHjSkc6rw0bNqj253zDDTewaNEisrOzyc7OZs+eIe7j5BRD0tTU1Pu5yWRyzpgxw9nQ0KBgov52797t7Orq6v184cKFCifqq6ioyHny5Ennww8/7Py///s/peM4nU6n86677nK++eabTqfT6XzzzTedd911l8KJ+vriiy+cVVVVzuuvv95ZVFSkdJx+6uvrnfv37+/9+69//Wvnf//3fyuYqL9v/+6+9957zqVLlyqY5vyOHj3qvPvuu1X7cx7uXHKGNEQhISG9n7e1taHRaHA4HBf5Cve7/vrr0eu7d06dPn06JpNJVRnHjx/P2LFj0WrV8XTsaQaclZUFdDcDLigoUNU7/NmzZ/frdKIm4eHhzJs3r/fv06dPp6pKXRvNfft3t6WlRXVbkXR1dfHEE08wkiZCe2QvO7V57bXX2LJlCyaTiaeffpqIiAilI13Q1q1bWbBggWpe/NXIaDQSFxfX2xNRp9MRGxuL0Wjs111EDMzhcPDaa69xww03KB2ln1/84hfs27cPp9PJn/70J6Xj9PH8889z6623qrplEMBDDz2E0+lk1qxZ/Nd//dd527oNlhSkASxbtuyC7+w+/fRTdDodd9xxB3fccQdFRUU89NBDzJ8/361FaTAZAXbs2MHbb7/N1q1b3ZYNBp9PeKcnn3ySwMBA7rzzTqWj9PPUU08B8Oabb/Lss8/2WaivpK+//pqjR4/y0EMPKR3lorZu3YrBYKCrq4unnnqKJ554gt/+9reXfX9SkAbwj3/8Y9DHpqenExsby+eff+7WHnyDyfjee+/x3HPPsXnzZqKjo92Q6huX8n+oBoNtBiwGtn79es6cOcMf//hHVZ+VL126lNWrV1NfX6+KEY4vvviC4uJiFi5cCHR31b777rt55plnuPrqqxVO942e3wlfX19ycnK49957h3R/6n2GeIhTp071fl5eXs7x48cZO3asgon6+/DDD3nmmWf485//rPrTfzUYbDNgcXG///3vOXr0KC+++CK+vr5Kx+mjtbUVo9HY+/fdu3cTFhZGeHi4gqm+8eMf/5i9e/eye/dudu/eTXx8PH/+859VVYza2tpobm4Gujel3LlzJxkZGUO6T+nUMET/8R//walTp/Dx8UGn03HPPfdwyy23KB2rjyuuuAK9Xt/nBXXz5s2qeCcI3S/4zz77LE1NTej1egICAnjllVcULezFxcU8+uijNDU1ERoayvr16xXZ3uRCfvWrX7Fr1y7q6uqIiIggPDy8zwaYSjt58iRZWVmkpKTg79+9u2hSUhIvvviiwsm61dXV8dOf/pT29na0Wi1hYWE88sgjfTYMVZMbbriBP/7xj4wfP17pKL3Ky8u5//77sdvtOBwO0tLSePzxx4mNjb3s+5SCJIQQQhVkyE4IIYQqSEESQgihClKQhBBCqIIUJCGEEKogBUkIIYQqSEESQgihClKQhBBCqIIUJCGEEKogBUkIlSkrK2Pu3LkcO3YMgOrqaq644goOHDigcDIhXEsKkhAqM2rUKB566CEefvhh2tvbeeyxx1i2bFmf/YWE8EbSOkgIlfrJT35CZWUlAG+88YbqGpQKMdzkDEkIlfre977HiRMnuOuuu6QYiRFBzpCEUKHW1lays7OZN28en3zyCW+//bZqtkYQwlXkDEkIFXrqqaeYPHkyTz31FAsWLGDNmjVKRxLC5aQgCaEy77//Pnv27GHt2rUAPProoxQUFPDWW28pG0wIF5MhOyGEEKogZ0hCCCFUQQqSEEIIVZCCJIQQQhWkIAkhhFAFKUhCCCFUQQqSEEIIVZCCJIQQQhWkIAkhhFAFKUhCCCFU4f8Du3qZf75N1ioAAAAASUVORK5CYII=\n", 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" ] @@ -598,7 +707,8 @@ } ], "source": [ - "pypesto.visualize.sampling_1d_marginals(result)" + "pypesto.geweke_test(result)\n", + "ax = pypesto.visualize.sampling_1d_marginals(result)" ] }, { @@ -617,10 +727,27 @@ }, { "cell_type": "code", - "execution_count": 18, + "execution_count": 21, "metadata": {}, - "outputs": [], + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "100%|██████████| 10000/10000 [00:12<00:00, 803.56it/s]\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "CPU times: user 12.5 s, sys: 151 ms, total: 12.7 s\n", + "Wall time: 12.5 s\n" + ] + } + ], "source": [ + "%%time\n", "sampler = pypesto.AdaptiveParallelTemperingSampler(\n", " internal_sampler=pypesto.AdaptiveMetropolisSampler(), n_chains=3)\n", "result = pypesto.sample(problem, 1e4, sampler, x0=np.array([0.5]))" @@ -628,12 +755,12 @@ }, { "cell_type": "code", - "execution_count": 19, + "execution_count": 22, "metadata": {}, "outputs": [ { "data": { - "image/png": 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\n", + "image/png": 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\n", 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\n", + "image/png": 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\n", 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\n", + "image/png": 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\n", 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" ] @@ -663,6 +790,7 @@ } ], "source": [ + "pypesto.geweke_test(result)\n", "for i_chain in range(len(result.sample_result.betas)):\n", " pypesto.visualize.sampling_1d_marginals(\n", " result, i_chain=i_chain, suptitle=f\"Chain: {i_chain}\")" @@ -670,16 +798,16 @@ }, { "cell_type": "code", - "execution_count": 20, + "execution_count": 23, "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "array([1.00000000e+00, 8.02757714e-02, 2.00000000e-05])" + "array([1.00000000e+00, 2.20932285e-01, 2.00000000e-05])" ] }, - "execution_count": 20, + "execution_count": 23, "metadata": {}, "output_type": "execute_result" } @@ -688,6 +816,76 @@ "result.sample_result.betas" ] }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Pymc3 sampler" + ] + }, + { + "cell_type": "code", + "execution_count": 24, + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Auto-assigning NUTS sampler...\n", + "Initializing NUTS using jitter+adapt_diag...\n", + "Initializing NUTS failed. Falling back to elementwise auto-assignment.\n", + "Sequential sampling (1 chains in 1 job)\n", + "Slice: [x]\n", + "Sampling chain 0, 0 divergences: 100%|██████████| 10500/10500 [00:24<00:00, 422.31it/s]\n", + "Only one chain was sampled, this makes it impossible to run some convergence checks\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "CPU times: user 28.2 s, sys: 1.1 s, total: 29.3 s\n", + "Wall time: 29.5 s\n" + ] + } + ], + "source": [ + "%%time\n", + "sampler = pypesto.Pymc3Sampler()\n", + "result = pypesto.sample(problem, 1e4, sampler, x0=np.array([0.5]))" + ] + }, + { + "cell_type": "code", + "execution_count": 25, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "pypesto.geweke_test(result)\n", + "for i_chain in range(len(result.sample_result.betas)):\n", + " pypesto.visualize.sampling_1d_marginals(\n", + " result, i_chain=i_chain, suptitle=f\"Chain: {i_chain}\")" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "If not specified, pymc3 chooses an adequate sampler automatically. " + ] + }, { "cell_type": "markdown", "metadata": {}, @@ -704,7 +902,7 @@ }, { "cell_type": "code", - "execution_count": 21, + "execution_count": 26, "metadata": {}, "outputs": [], "source": [ @@ -723,10 +921,27 @@ }, { "cell_type": "code", - "execution_count": 23, + "execution_count": 27, "metadata": {}, - "outputs": [], + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "100%|██████████| 10000/10000 [00:31<00:00, 316.47it/s]\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "CPU times: user 31.7 s, sys: 148 ms, total: 31.9 s\n", + "Wall time: 31.7 s\n" + ] + } + ], "source": [ + "%%time\n", "sampler = pypesto.AdaptiveParallelTemperingSampler(\n", " internal_sampler=pypesto.AdaptiveMetropolisSampler(), n_chains=10)\n", "result = pypesto.sample(problem, 1e4, sampler, x0=np.zeros(dim_full))" @@ -734,26 +949,22 @@ }, { "cell_type": "code", - "execution_count": 24, + "execution_count": 28, "metadata": {}, "outputs": [ { - "data": { - "text/plain": [ - "array([[,\n", - " ],\n", - " [,\n", - " ]],\n", - " dtype=object)" - ] - }, - "execution_count": 24, - "metadata": {}, - "output_type": "execute_result" + "name": "stderr", + "output_type": "stream", + "text": [ + "Burn in index not found in the results, the full chain will be shown.\n", + "You may want to use, e.g., 'pypesto.sampling.geweke_test'.\n", + "Burn in index not found in the results, the full chain will be shown.\n", + "You may want to use, e.g., 'pypesto.sampling.geweke_test'.\n" + ] }, { "data": { - "image/png": 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\n", + "image/png": 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Xd89sNEvepb0PHbhj4WsA1hd8TdeZMOe1uGuPq/meGqvVrgu671iw8YRjDYqm5sbpI4bdrpCRwF5P6KchLeqvHzFiBLfeeisTJkxo9JiXX36ZvXv3smHDBo4fP87111/P4MGDad++/Wm8UoFAcCYTjWpUBiJx7hATRvcAYMHkIVYgVRmIcLi2Ccpuk5g2/mJcTrnRZiRFrruZJbttcaUAjW251r9ZJSXFX6fDYTunm5BaArpucKwqhKYZHK8K4fO6uHf8xWS2SkbTdSRJYn9ZJedlePn15CHYZBlFMXXQo6OPGXkDiEZ1/FVhKqoj/PXfJYwf1bPWpq+xCYGN+LjrOq9u3ctVOZ3itOVyyk00XDb+e2Y/9ZY1IKcxz2WhwcaJaSMS1Zg2vh+tUl0kuexEVZ2h/c4zGyYNs575RzmdTEtHFWyKRFFBLh99dpjdB/zcevWFlB0LAGC3Sdx69YWojawxhmGeM/FnalDuryGp3mf5der7zbpr0887xeOkMhih8ImtcedPtF59HYR+GtKi7AQHDBhAVlZWk8e8+uqr3HTTTciyTKtWrRg5ciT//Oc/T9MVCgSCM4mYG0mZP4C/KmTW3EY1So/VEIqqKLLMssIRPDdvtNnMWM8WMBzVCIbjba+CEZWaoIZc24xUnwyfG02vu5kFw2YANfupt6xmuBOtt1Lc5/aWa0sgkUbqP/fVocpaXWxk6doS7r2lH26Xw7J2m7V0KynJLlwOxRqobbfJ/HJCf+67dQCRiM6BI9X88W87WLFuO9cO7crqDZ9iVxr3QW7KI/m14r2Ewjp3LHzN0mqotmQkkcaSnE34LYtt/29Efa1UVIcsbfzxbztoneZCkSXKjwd5Z/tBjlaE4zSiajr+ykicJWDPzq3pfF4asmQqZ+UrH7N0bQnHq8IocuI1RpYla7rkic8pssTydTvMKZNxj8uN6sPjlK1jXA4Fl8tGWpIj4bFCK98PZ9zXkNLSUtq1a2f9nJWVxaFDhxocV1lZSWVlZdxjiY4TCFoCQq/fL/UbJiVJomRXGa1S3fTqmEZNRMfrsXO0IsycleZ27x9mXdlgOx4DQmHNch+wnCWSoCasMmNiNg88E1+7uLF4D4V52Sg2sCsyB8pMr9tpS97gkenD6rKUJ2znn0mcTVqNBdYL/viu9TnOvn0Q57dNIRLRqAxGcDkUHpiai4FBVDWw22Tm/r5hicjCKTlMKtpEhs/N3DsvpX2mlxlP1NXg3jOuH8+9+gmPrvmQ/DF9iGgaMyYObFDD63TK2CAuox1Wo4QjBp/uOUphXjbVQbODIPYau0PiWHWUtic0XHqcMkFVT1hn63HKpCUnn9Xb/t+nVk/Uytz8Qfzz7T3kj+lD53Yp1mj7B57ZxsIpOcxaujVOI5oaXz7k87oSupM89+onPLL6Qx6aNrTBGjNj4kCSnQo1Yd3amQtGosxf8S6FedlN6qNkt58+XXwN9DFtyRuW7rxuJ2BmqUWJyKlDMgyjxfm6DB8+nKeeeiphjfe1117LwoUL6du3LwDLly/n8OHDzJ49O+64xx57jMcffzzh+Tdt2iRKU85Srv3Fum/8mpd/M+YUXMk3Q+j1+0FVdaqDESLRulHI/3z7S4b170Cmz4UOhMM6SFAdCJPsdlo3ofoetADLZ46Mu3mCeSOL3VTvmziAtCQXUVVDNyDZYyca1XE5ZRTgaFWUqQ+9zqr5ownVa8g7UwPuGGeDVuu7j6iaQSgSJcPnIRzRURTQdLMZVtUMPvmynF6d07EpZqZR03TKjwesUpOYdtLTPOwprcLrsdMqxcX//f6tBtrJH9OHRSuLWXxXLsluBy9t3sUNV3TDppiTJZM9dhxyYrvKLJ+LmnrNkLHfneSUGT9nPctnjiQQijawwkxNduKySdREdCuIOtM1+HX5PrXqrwrx0r92cc3QrmCYA2tkWeLvW3bz0r93M/ayLlyT25WoqiHLEpOKNrFoyuAGOomtMTPzslmxbnujGln6q+GEVRWv20lU1dB0cDllKmuiCbWhGhCONNSH3S5x6/0bKCrIYckLHzDrtkFkpjnr9CBLJDll3G6n9eVBcGo54/6fl5WVxcGDB63A+8QMeIyJEycyduzYuMcOHTrUZP24QNBcCL1+d1RV50hFgOpAlDWv7WTEwPNJTXZwzdAuyJJkWq3V3jAdNhmbTWngCvD7wuH8rOh183yNTAeMPa6qZs5izrK3KczLJrl2Oa0JmiUsqV47GT431QGV8oogaV4nbdI82GwtqsLvG3OmazUUUtlfXs3qDZ9aGvF5nWiGgd0ucbSiroFy7GVdGNa/A8/8fQcTftgLt1Myhyp5XQ2043XbWLFuu1kDfnO/hNrxekxNpCQ5CYWjlHxeztW5XUhLtnPLnI0sKxxBVJYbbYbce7iSzu1Srca5WXkD6HKej2WFI5AliTZpLh66ZxiqVjf8KRZMndg/cC7wfWv1mqFd0LS6ev1N275i3JU9aJ+RzMU9MpAksNlkdB1WzBpJOKo10MmiKYOZufRtvB57kxoprwiS4fNQURPi5797EyDhzlxMG18cqKDLeSnoJ1zzzj3HyPC5yfB5eHjaMEsT56IeWgpnXOD9wx/+kBdffJFRo0Zx/PhxNm7cyKpVqxocl5KSQkpKSjNcoUDwzRF6/W5EIirHayLoGqx5bSd51/bGoShmo5oh4XaY47JjWaCKmjDVQRWf15zIVv8GNmF0D14r3otNSdyMVH7cvIn6vE7TyaIgF6dT5kiCLOUDd+di6NC+TTIpSc4zPuiGM0uriWzeKgJhVm/4lGuHduXRNR/i87oYP6o77dKTsdtkUpLsph1bRLe83aePu9jKIqparX9xAu2U+YPkj+nDoaM1CbUTiqjcd+tANrzzJVfndrFcSlQd/jBnJIbW9OjvpWtL+NVPB9Kjo4//Gd6VdF9Sg8CuQ5tky+LwXOf71KqhG1TVRFm0spgZEwfQ9bxUOmVdhKLI5PTJIqQa5s5CWAd0JGRaJTsS6gQgFFEb1cj0m/vz139/zpQb+vJ/v3/Per4pbaxYt52H7x3K4QTr0G/uHUaKR2S0Wwot6i6wYMEChg0bxqFDh7jtttu4+uqrAbjzzjvZvn07AGPGjKF9+/aMGjWKH//4x0ydOpUOHcQkN4HgXEFVdY74AxytCFDmD1Dmr+F4dQRJMrdi7/rxxYTCWlwTU6k/RDgatYaIJLuddGibzI3Du1nnjd3Ahg/oSFFBLiW7yph+c/+4BqPpN/fnlS27mZmXjcMpE47oRHUNVU1s2WZoZqNdq1T3WRF0n0nEbN5m1DZGznhiC/vLq7HbZabc0NcKun96VS+Wri3hZw9sYsYTW3DYFUr9IfYfrrT0UhPW2V9WaTXKBUMad437gfW76ruReD12Vm/4jHvG9YtvTpuYjcOu8OeNO7msfwckCcJRjadf/pj/feQNKquiJDuVJhsry/xBHnxuGzcO70aX83wJNVcRiJymd/jcIRRSiWq6FXRLkly3vjyxhYhhoOmmNSPAV6UVFD65hUP+EHPzs63zxJxHlhWOoHO7VGbdlp1QI3/99+fcOLwbNWGVR6cPs445mTaikcTrUCSqi6C7BdGivhbPnj27Qa02mHXcMRRFYd68eafzsgQCQQshFkzJkhFXn+1xykR1OFoRItltJ+OEJrMkp0ypP8T9y+Kzg907plrnjt3ANN10oVizcRc+r4u5+YMJRVRcDhuRqMqIgefzwoZPueO6i3DYZQqffJtFBTmNZqLSk9wn/hmC04C/KpQwCHl0+jBqoobVnPbKli+Ymz8YRTZru+0SpHgcliVbktvG9NoGtFl5A1i48r24zCXUaQegKhDFXxXiuVc/IX9MH7weO4YBSR47oYjKDwd3wmGXkSSJrf85wMZt5kj22DmDkcRTBIORqPV3dMryNp79PMfHcZ8KKoMRdN18f1OTXHEe2neO6Y1DkojWa5fr06U1d47p3YhOJO5YuJEMn5vFd+cy5ca+uBw208ov2U6Sx864K3vw+79sNzU8Ndday2LOJI1pQ2jizKBFBd4CgUBQn/pNcIoiY7fJJHkUagINaydbp7qswCpRc1qGz5V4iAh13f9HKwL4UtxWxvLRNR/y6JoPufXqXix+ts59YmZeNgYGefPNWlvdoBGfbllkmk4z9R1tFk7JYfP7+1i1ficAV2Z3pNQforI6RPuMFBQFhvXvYA2yWTV/dELtLJk+jOlL3rD0Uj/DHTvGZjft39a+votp4/vxyOoPWbSymAyfm5/fcglH/AFsisx5bZL588bPKPm83BzDDaxav9M6510PbebxX14e98UxGIly10Obrd8XC/LFOO5TSzisUhGIkOSQCUb1WsvQ+OC2T5fWCTXTp0vrhDpxO2XGXtaFof3a89Z/DtK/Z1sCoShJLjsvrN9p6WJArwxWrd+JpukEwyrTfvtvgCa10dS8AEHLQQTeAoGgxRGNalSHonGjljN8bh68OxdFUohEI9YkyZ17/VYQ/dt7zdrcRif11aP+tq8iyxytCGC329j8/j527vXHZSzbpnu4d3x/0tPcHDhSxdK1Jezc6wfMG5tdkRJmolI9wvf2dBALthUZ/FWRBp9DqxQnGa2SyGyVhKbpOHweXtnyBdfkmp7asc85FG5cOycGUYoiW9pxOWXmrygmf0wfOmV5CYRVZt6Wjcdp48CRap5+eUecXvLH9GHjtn2WDeGq9TvjAur6QfaCyUOYv+Jd6+eZt2WTnuYmGtWE5k4h4bDKviNmE+7kG/oSUc0vcnZbfHBb04RmTtSJzS7xyJqPmHR9X17Y8Ckbt+0j443d3H/nYJa88IGlkZguXivei6LIuJ0263fW18a8SfHacDgSZ8SFJloWIvAWCATNTv0mOLtNIhBWkZAS+N5GWFTvphLzvd251w8yVNREsCtyo2UfRQU5VAWirH19F/6qkLXtu6xwJK1S3bgcCq8V7wVg516/lbEsKsjF7bKR4lYIeF34q0IAlreu3SbToU28722qxyGa3L5ndN2goiZMVK1z7dA0na8OV1G0spi5+YMbBEGrN3zKzaN7sqiezd7//uQSRmR3BMmwmizL/EGWFY5oVDuxwDgWzATCUR5f8x927vXz1H3D2bnXz4p12ykqyMXrsbP3UBVJGV7m1QZG9c/n9ditfxuG0WDYTew677t1IC6nwoLJQ4jU9jakp7qQZQmn0yY0dwqpCERYveFTbriiG/c9Xre7Nuu2bLNcKayDZMRNv40R+1JfmJeNxyFTGdAJRVQefe4jdu71c9s1mlViVOYPUlEdtoLu2GOGYb4e2cBpU5iZl91g7dvwzpe1HvNmL0mKx4nbbhOaaOGIT0MgEDQrsbrt+lmaaeP7kdnKE3dD+8mPelo3HjBvTo+u+ZBp4/sRiWpoqoEiyY1vt8oyhU9urRuE43Wy+4DfqrvUDYOwljiL6HbKINm5Z8kbTBvfz8qQtvF5iKoa3lrHgAxxgztlJBp2E/Opjn1eitxw1Po1uV2soBvM5x9+/n0evmcoUdWwgm5oYqtelpl756W4nHKD8pX6E0sL87LZX1ZJ+4wUfF6XNX3wxPNVBaJx5y4qyCXJKbNkzUeWtqoCUf68cSeTru/L9s+PsGbjLmbfPgivx2mdy+m0Cc2dIjRN54YruvGbVe/HfflPT3NZpSX5Y/rQ9bzURss7Mn0u7l9RbNZqF+Syc6/f0kv9Y0OR+Am5dV/yXEyYs55lhSNZuraE/DF9SE12kJ7qZtlfS5jww160TnXHlbMJTbR8RJu9QCBoVhI1wT2y+kOM2rppgLtv6kuGz9MgqPJ5XXicdpauLWFS0UYqasK4GhmN7HLKcefHgOXrdjBj4kCQwDAMQiGNymrzJrmscARFBbnYbRK3zFnPHQs2UuYPIksSi1YWs+SFD7DJ0C49WdRxnwYqasJW0A3m57jw6eI4v/VYAByjR0cf6WnuhLo5VhmmvCIY91xT2nE5bIQiOtWBqLUrYmWq3TaKCnIxDJ25y99F03Ve2bKb379U0sC5Ytr4fqx9fZf12tff28sdC1+jKqQxflRPVqzbTuGTW1mxbjvjR/UkySlzcY9MHp42jPPbpgitnSYURaZVSl1fSI+OPn56Va+4ciSvx97oKLqh1/gAACAASURBVPYkh8y9S97gp1f1wud1WbsmhXnZ7Dl43Dr2lz8ZQEYrT4PXv/7eXvYeqibD5yYQjlo7Kg67QpJTZupNFws9nKGIr0UCgaDZ0HUDVTPigp+Vc65Eq/Uzjvkc1wRVDhypbpBZGj+qO0W1I5Xvvqkv6alupi95gyX1x7PX1uBOmLPeel2ZP4jdJnP/nYOx2SQ+/fIoPTu1xu2y4bLb0HQDRZF5Z/tBlq/bYb0ulq00s62D8KW4xY3vNBFVE2/p67rpLDHikvZxo7RdTpmK6ij+ynAD3fzip/1QUEjGiHtuwpz1rJ4/OqF2Ft+VS3qqmxSvnV9PHoKhG+gGKAo8/49PzKa4idmMvawLiixbpQSTxvY1R327HdgUCVmW+MWE/kiSZGXOY7suWT5XXJlAbMKkGHZyetF1gySHTKi2obLMH+TG4d1olWrWSsc0FpsSmXWCi5LLKfPloWprV27KjX3NXZP8wWws3sOw/h1YOXcUmmqAZOC0KyyckoNhGJYuXiveywUd0qxdnWWFI+M10czvkeDbIwJvgUDQLMRKB45WBK2b28o5VyZsjsvyufhNrdPIV6UVZPfOwjAMQLKC7i7tfSz7awn3jOvH9CVvWK+fN2kIhU9uifvdGT4zYDZUg39sNYeZfPTZYR57scR6/sG7h9K7S3pczW3sJlh/Apzg1BJzllCkxlw84IpL2id0lnA6JDxuG7Nuy+a/X5ST3TsLt1PhyPEQRSvfxud1WQ4ksdf5a1TmLms47r2iOkKrFBf7S6vomJmCho6uGby4cVedJeAzxRRNzUU3DHp09Jm9AAY88EydI87cOy9FVfW40e6zbx9klQyIILt50XWDYDBMqT9Els9l1Vb37uKjLIElqdMhURkweO/jQ3HlR/lj+gDml8N26cnsPuBn4UpzGM7WklKKpuZyx8LXLE0EgioPPf9enXPSbdmkp7qsMjbB2YMIvAUCQbMQKx3weV2WdZ+mkdghYGou02/pb9bMtnIza+lWyvxB5uYPYuxlXbi4eyZRVePWq3rzVsmBuFrIFzZ82iC4mpmXzUPPvW81NP1wSGdapcZv9QbCUdK8zkZHcAtOPTFniaKVxTx499AGn+M94/phGBBswlnCJptWlAN7t2XW0q0UFeRax/a9IJ1WKS5+PXkINlmmKhhm7eufJfw9L7/5BT8ba3oua7rpi1zw4Otx1xvzTJ791Fam3NiX1GQndrtsZUMlScLpVEj1mF/e6jeJCl21DCpqwkSjpp5+e+8wWqe5ePCuXEJNuCXdv2wLRVNzGXrxeegGqLrOE3/+D1DrNmKXraA79lpNM1hWOBKbIuGvDmFTJNN5SUJo4ixHBN4CgaBZiEQ1yvxBxo3sRlZ6EgsmD2liAITO5Ac2WS4ifS9IZ+O2fXy+7zjD+neI8/SeMXEgr279ko3b9rGscCQ/Htkdh11hUUEOR/xBQhGVlGRHnL2bqhqc1yaZp+4bjqbDxuI9/GhIZ1I8Dux2pTneHgGms0Qs2IlENZ79+ycUFeRyvDqMx2Vn5Sv/5Y7rLgKMxLrRdSYVxesmprGRAztwVU5n5i57Oy6D+ZMf9QQkFt+VW+s4EeHlN7/gumFdCYZVZBkUWQISN04qsrkL065NMpIEb364n4u7ZzL1odfJ8Ll5YGousmyOnBe0PCJRDV036HtBOjYJaiI6YKBpjWsstkb9v9d3UfJ5OTMmZtMhMxl/VYgZEwcSDKv06OiLW3MURULTdTZtqys3emBqLm18nmb4qwWnE9FcKRAITgu6buCvCnH4WA01NSEkJH5fOIIfdM/glTe/YFLRpiZHIoN5o3vgmW2Mvdwc9T6k73kNslCx52NB0Oyn3uLLgxXkL9zIkhc+IM3r4u2Sg9a5Z0wcyMbiPRw4Us3kxa8zb8XbXHZJB1qnuETQ3czUt2pTFJk7rrsQJHMse5Lbxs/GmrWz30Q3sWPHXt7NKgGJHVO0spiaoEbe/A088Mx7VFRH8Hrs3HbtRTz790+Yt+IdWqW4UXUNm01ixsSBcU1xMyYOxGYzA3KbLLNtxyF6dW7NS5vrmilFwN2ySXYqKLLM7ddeSKk/ROETW/hif2WTGsvwuVE1g7GXd6vVWjHjR/Ugf0wfJOD+5e8wflR36zWFednYbaY+YkG30Ma5g8h4CwSC70T9SYGKIuNLdjYIWHXdoDJgbuHqukFNWGd/WSVzl79r3XTGXtENh0xCOz+kupHHMds4IKF9XJk/iFI70MbpND2927ZK4vczRmC3yXgcMt6LsrikV1s0zWBj8R4uv6QDrVJd/GH2lWKbtwUQ8+sGibn5g+jY1mv6Idtt7D9s2vWFwqo1ua+V19nkKG2o081Hnx2mMC+7Se1AvI97/pg+VrayOhgl2W1HliWSPXbuv3MwsmROL7XZJLZ8dICZt2WDDIP7tMNuk/nxlT24ZXRPfF4XNpvId7VkaiI6HqdMoLa05M4xvelyXmqj49rDapQZEwfyl3/t4n+GmwmBMn8QVdVZsW47+WP6WDsgT80YgU2RSPU4sdlkBvdpx8DeWdhqd0CENs4NROAtEAi+NdGoZg0vqX8zOj/Ti92uEAqpVAbNkcvlxxs2v/2+cDg2WUHTdaKqjuKQ6zkEGOaWvmJwx/yN1u/M8Lmx28zAvrFR7XZFxpXi4B9b99ROdFNY9lIJk8b2pSasI0lgV2QU2WDsFd1EoN2CONGve9ms4VTWRHHaFTJ8ZkYwVlr0ywn96dmpNdVBtYEjSDgapWDxZuu8GT43ugGPvVhivS6RdmxKXQlJ/SFNseePV4VIctmQAI/TRljW0TQDuyLhtMsM7de+gZ7STss7J/g+0DSd+1e8xy8m9OfOMb1J9yVR+OQWxo3sRk6frLq1SZHwOGSOVUV5desXlHxebu3ExbQW004sMy5JkJbkwOEwQy9RVnJuIgJvgUDwrfFXhxtthkxxO9hfXs3Bsip6dmrd4LiDZVW0y/BStDK+xnb3fj9rNu6iMC+b1mlOyv3huEBoxsSBaIbO6vmjCddOhzsxoLfZJDa88xWvFe9lZl42r7z5BTcO78aDz76HvyrEtPH9aJXiEh7cLZAT/boVFD7efZgLu6ST4nFYn/XdN/WlXYY3rr4/5oCzZtMuhvZrH6ebwonZJHvsLCscgSRJuBvJYH554Dj5Y/rQOtWF12PnD3/7rzX4ZNr4fvhSnJSWV9M+I4XUJAepyeI2ejahKDLjR3VHUWS6tPdR+IQZdHdp7+Oeem5JhXnZfPplFQ+t+sBal+qXFEVUlede/QR/VYif33IJRysCtEnzWEG34NxFMkxPrnOC/fv3M2LECDZt2kT79u2b+3IEp4Brf7HuG7/m5d+MOQVX8t05E/RaWl7NpKJNDR6Pec4ue6mESdf3tZrcAFbPH01NWLc8b5OcMuNrPbYzfOZ49pjNVlFBLsigawaGYaDpBmtrG5iKCnJ5ZcsXVAWi3HBFN2yKhKLIIBnISERVM2OuKBDVDGyKhKoa5rhtuyxsur5Hvk+tlvkD3LHgNevnWKD86tbdjBvRrVHtQJ1+9h6upHO7VKKqjqYb6LqBzSbxm+c/sEpGlhWOYNdePz06tULVDKvsaGi/9rz54X6G9e+A0yFhkxUkSUKWJFRNp7wiyKylb7Fi1kgyWwnvvzONk2nV3KULk+RQvpbWorWORzabRDCkYVMkvjxwHAPZclYKRVSQoF3rZFFOIhAZb4FA8O1RlMQjtl1Ohaiq1zpOgMtpI8Pn5tHpwxL6La+eP5rxc9ZbLgFQ5xiADntKq1j7+i4raAJzwM41uV2tG6PHKVMd0ijeUUq7Nsl0zExBUaTaoSWIcpIzBLstXlNJbhuhsM64Ed2a1A7UaWbeindZVjiSPaWV1vj1ru1T6JCZbGWvFVmmZ6fWVsY8xtaSUooKcqmoCVGw+E0yfG4W1X7Ju6RXW6t0wCEab886VFVnf3k1WT5Xo1o7WhXlpc2md7um6wTDKh6Xi/Vv77EaJefmD2beiretGvAkt4PUJKcIugWAcDURCATfAV+ys8G45AVThnC0wnQDmFS0icInt3C0IsSCKUOoacRvuSasW6+POVHE/q3IMivWbY8LumPPRVWNSUWbKK8IEojozFq6lZ6dWrN6w2doukHrVDepyS58XpcIus8QUpOczJs0mLn5g/jT/NGU+UMUPrnlpNqBmE2bGbhHVY1FK4ut8esYElfldGbsZV0ozMvmaEWgUfvKqKrx89+9af2s6zp9u7WxSgdm3z6I1CTn6XtTBKcFf1WIj3eXN6m1eSvetnSkyDI+rwObDJf0ymTkwA7WVNyiglw+3l2OqiIaJwVxCCUIBIJvjaYZtEkzm9qWFY5g4ZQcMBIPwZGRGvfp1nUrq/TRZ4etf7udMqquNQjuY5kkTTd/9nmdIBn8dvow/vHWl/irQpY7haDlEwqplPkDlJZX468KEYnqHDxSTSCsWVpqSjtQp4skh8ys27J59tWP4x4PRqI88Mw2rsntSjAU4VePb23UIk7T43+2KTJd26fxq1sH8PC0YZzfNkV8kTsLMTC49KJ2TWotZk15dW4XFBvYbDLHqsINbExVTWdY//ZCK4IGiFITgUDwrQiFVCoDEavUY9vHh1i+bgfLCkckvGmZ0x+VRoaOyBRNzcXlkElyteHi7pm4nDLzVhSzc6+fx395uTX9T5FlwmqUUNjgzQ/3MDMvm+2fH2HNxl0UFeRS8nk5hXnZpHocp/stEXwLQiGVylCY2vgZTTP47xdHGgRAsSA5kXaWFY5AkWVcTpnKoEqbNBeTru/LHdfpluXgXQ9tBsypgs/8/VMzoLabXtz1R7oX5mWzsXiPdf6ZedmkeBw4neJ2eTYTDqtU1URxOZQm1ymI7YIAhsTxqrClLUWRmDExG0mBg4er6do+TQTdggaIlUQgEHxtVFWnsiaMrEgJ7QFXzx9NdVirzUK7uHF4N7weO6GIilzboJTISSJRg+X0WgcBgLse2mw9ruk6DpsNj1NiaL/2LF1bYpWhaLpB0dRcUkWgdMYQVlUqq6MUrSzG53Ux6/aBXNglncIntzA3f7AVADWtHbMZM6aRP778MTeP6snsp95qEDxpmsGtV/cizetkw9tfcfhYgLn5g1Fk0HTwJtn40ZDO/CinC4osCS2dA0QiKseqQixaWczc/MGkNaG1ooIcq1kyb/4G6xymzanMmx/uY9SlnVm94TN+deuAZvyrBC0VsZoIBIKvharqHDxazfGqMBk+T2IbwYJc/r5lN3PyB1FRHeGR1R9aN65fTLiE36zawbz87Dgv3CSHzD1L3gDqTXVzJM5E2u0yWlhHQmLrfw6yfN0O6/piY5gzhDfuGUW4dlCJz+vi9ut6E4nW1de+tHmXpYO5K4rraafOaWLJmo+AOu2gGGT3zuKVLV800FBs0EnJ5+UsviuX14r3UuYPsnHbPuscRVNzyWyVJDKV5xDHayL4q8KW5m4e1bPePIE6rdW3E5yZl82g3pm8u+OwpS27TSb34vasff0z/FUh7KKuW5AAEXgLBIKEqKqOvyqEqhmkuBVqIjpOu8Ijqz9kweQhDcpJ+l6QDsDoSzths8nMX216Mffo6OPG2olu94zrx5I1HzF+VE9apTqZeP8G/jB7ZNzAnFj2e+TADnGZSI9bwV8ZIiXZgcMmc2GX9HifZlFeckYSKyf5xYRL+Mu/dnHHdRdZ2tp3uJqoqvPryUOwKWaQ/e6Ow9ZrLfvJ6+qCo5LdfjpmJrNoZTFVgSiLCnJQVR1Nx3KjAFC1xB7wKW6HCLrPMTRNp6I6QobPzcZt+7h5dA9KdvstR5wOmclx7jdl/iCLahMNt12jYbPJ6IaBTYZlL20XDbiCJhGBt0AgaICq6uw5VEnRymLm5A+i1G+WAky/uT9l/iCSJMXVQI4c2IGrcjpbN6fFd+VaQfdPr+rFo2s+jMsUHSirwlE7ffKOBRvJ8Ll58K5cNN0c2Ry7AdbPRM7NH8zCp4uZcmNfzm+bQvv05LhJhaIkoGUTGwMfVU3f45i9Y8yFxOd1MmLg+Za2fF4XP72qF79Z9X7cFMnjVRGrtKjMH6TMH6Dwya1WEB4b0x3TUHbvLFas256gXleKz2oqMiluBy6X0NC5hqLIbNr2FbNuy+ZP6z+lqiZqaSa2Zvm8rjgNmc2WBuvf2cM1uV1xOmQiqsH//uQSnA5F2JcKGkWsMAKBIA5dNzhWVVe/7XbYmb/CDKirAlEyfG42v7+Porty0DUwDANFlnnnvwetG1Mse3Tj8G5W0A11maIFk4fwj7e+BMwgaNZt2SBJaLqGYpMaZCJjU+HK/EHapSfTOtWNLEsiSDpDOHEMvPmZD8KX4sRpl63gt1OWl83v76MwLxtJgkVPx5czPbrmQ/LH9GHRymLA1I4sS1a2+p3/HuSecf14+c0vuGdcPx5d8yFrX9/FtPH94sqeZt2WTTCicuhoiN+t/ohp4/txfluv0NM5SlqSg0k39EGWJO647qK43oDYmrWoIAfDgM3v77P8ug8cqWJY/w58uuco52V48aU6yfB5RMAtaBKxyggEAotYgOSwydaNp76zxNrXd3HPuH50auflSIIBExNG92DV+p3WcRmt3SyckoNhGEiSZN20JEmiV+d0sntnEYqopCY7iUQ1FEVGkaB1qsuaCqdphlUiYA7nsYkb2xnGiWPgy/xBFj79LosKcqgKRC0d/Wn+aIYP6IjbKVMZUOMyjBNG9+DySzpgGAbLZ46keEcpvbukk+Z1Mjd/MEluheXrdlilTZmtPNx/52BqQlEiUY27f3wxDrtCeqrZC2BgUFktkz+mD8/+/RPRCHcO43DYoCZCVK0b3lVfb5Ikoes6s58yh+J4XDZ6d0ln6doS/FUhFhXkMPPJrTx0zzCxNglOSosKvL/88ktmzJjB8ePHSUtLY/HixXTq1CnumMcee4w//elPZGRkANC/f3/mzp3bDFcrEJx9xAKk+m4S9W3cdu710z4jiXAjAyYWTsnhvU/KuHF4N9NbW4cVf9tuNSDFblqKIrFoZbH12I4vyunZqTWaoRMKGjy65j0AfnZDXx54pjguU5mWLOomzzSiamJfZF2v83z/w+yRHK79MrdwSg6l5dWW7iaM7sGAC9uyYt12Rgw8n9RkBwMvbIvHZSMQ0pi34m2KCnIB2LnXz6KVxfTo6GPyDX156Ln34hp8Dx2rsbLfMWKOFIJzF03TzVpt3eDOMb25sEs6s5Zuxed1MX5Ud7LSk5kxcSCrN3zKpOv7oumGVfKk66aew1ENf1VIlJkImqRFBd5z587llltuYcyYMaxbt445c+bw7LPPNjju+uuv57777muGKxQIzm4iUa2Bm0RsgI01yESj0QETskyDmu76dbkx5xNZkizv5U/3HKVdhheXU2bCnNcoKsixxnpHVZX8MX1ITXbQKsVFem2JieDM4sQx8BArE6HuMUOyNGYYBqs3fGaVi1x+SQdWrNvOtUO7NugX8LjtFOZlo6HF/U5/VQhfitNsrqztA3j4ufdJ8zoalDKJRjiBosjIkoSsSFx6UTsKn9xi9RmcuJ4hGfx5406grl8gw+dG1w3+95E3mH37IDE4R9AoLSbwPnr0KB9//DFPP/00ANdccw2//vWvOXbsGK1atWrmqxMIzn7CYRVdN6ymNIAFk3MIhqM4HZJVh6vpelxzZf0tWQypQU13/brc2PS3JKcNTZfRNIOenVvjdsjcMmc9GT63VUc++/ZBtEpxkp4W34wnOPNITXIy+/ZBcTXeMyYOtOqzY7q4MrujpaX//ckllOwqI39MHwzDYMTA8xP2CzwwNZcsn4tD/lCcy82MidkYGBytCJKS5MTtsPGrWwdgt8l43Q4enjasQaOn4Nwlxe3AXx2i/HiA9DQPZf4g+WP6JFzPigpyye6dRVUgwvhRPXE4ZKaN78fRiiBl/iAL/vguD08bhs/raua/StASaTGBd2lpKZmZmSiK6XSgKAoZGRmUlpY2CLz//ve/s2XLFtq0acPdd99Nv379GpyvsrKSysrKuMcOHTp06v4AgeA70BL0WhGI8Ie//ZeZt2Wz6OliNm7bR84P2rF0bYmV+clo7UJBweWUG0ySLFi82XIzAdPpZOzl3VBkc6zyyIEdKPm8HEmSqA5pLF+3nUlj+/Lpl0d5aNUHVilJarKTh6cNE8FQC+XbaFWWJc5vm2IFu4osgWSg6XWWfh6XjQEXtmXW0q2U+YM88vNhXNw903Ic6dPFx/Sb+1MViLL29V10yExm7OXdUDWdmjD4Up38YsIl6LpBVSDKmtc+ZdLYvrRJ8+DzurCdUEoigqKzn2+i1cpgBEWW+d3qjyiamkuGz43XY2fGxAGkJrmstc7jlInoBivWbWdmXjat01xIgNfj4IkX/wOYAXqsXlwgOJEWE3h/XcaPH8/kyZOx2+1s3bqVgoICXn31VXw+X9xxzzzzDI8//ngzXaVA8M1oLr2GwyoVgQiaZt5UCv7nBziVuuw2SFbm5/1PDnHN0K4kOWRKEzRWPv7Lyzl4JECGz03fC9K5Kqcz81a8HZfh/PGV3SneUcqgi7IYP6onLoeMx23n9zNG4HLaSEsWwXZL59tqVZYlfF4X0aiGvzqMhOl5/JOrelFUkEu43uCc3947FN2QLHvKmMacDpklL2znFxMuIclti9NXYV426T43d/z6Nevnj3YeZs3GXWLr/xzlm2hV03RCUY0ZE7Nx2s3Jla3TnBw9Hm6gwwyfi3vHX8yi2n4EwzBLmQb0yrDK5ETPgKAxWowysrKyOHz4MJpm1ulpmkZZWRlZWVlxx7Vp0wa73Q5ATk4OWVlZ7Nq1q8H5Jk6cyKZNm+L+t2rVqlP/hwgE34Lm0Gs4rLLvSDWFT2xhUtEmCp/cwtGKUNwxiiyx8v4rOa+Nh6H92gMGNY00VroddpLcNqbf3J8bruhmTQyMHfPAM9vAgE7tUrEpMrv3+6kJaXRtn0bb1km0SnGJwOgM4LtoNRrV+OpwFYVPbCGi6ry74zB3P7SZg+XVaFpd30BqkiuhxlKTTC/l36x6nyP+YIPn0WFZoTmQKSXJzmMvllhb/xU14VPzhghaLN9Eq4oiEwypvP/JIQIhlfc+PkQ0aiTUYSisk9kq2fLyVmSZecvf4fJLOoieAcFJaTEZ79atW9OrVy9eeeUVxowZwyuvvEKvXr0alJkcPnyYzMxMAD755BMOHDhA586dG5wvJSWFlJSU03LtAsF3pTn0WhGIWKO67/7xxbROddMq2W5ls8eN7MbF3TOJhHVcTjvPvlrCzaN64nHZEjZWarrOI6s/5L6JA7ApUsJjANK8To5VBlmzcRcX98gUW/5nGN9Fq/7qcL0mXbOfYNzIbrRLTwaIq/duTGOxf7sctoTPTyraRIbPTf6YPnHPia3/c49volW3Q8bndXJBhzQURebz/ce5rH/7JnUYy2xXVIdqm4IRZXKCk9JiMt4A999/P88//zyjR4/m+eefZ968eQDceeedbN++HYDf/va3XHPNNVx33XXMnj2bBx98kDZt2jTnZQsEZySapuPzusi75kIe+/NHFDz4upXNHjeyG13a+yh80syGyzJWg2TMXrA+Zme/6f29+Jn3rGmEiY6pCUQIhjXm3nkpaUlixPu5QDSqUeYPoGk6C6fkMGF0D17avIsH78m1dOZwyLXb+O4mNRb7dyiiNnjeMMz/Thvfj7Wv74p7Tmz9C5oiGNHRMejeMQ2nXeaO6y5qUoeKLJuDv4Cf/+5N83HFLKcSQbegKVpMxhuga9euvPjiiw0eX758ufXvxYsXn85LEgjOWhRFZvyo7ix54YMGw3Iu7p5p1TWOHNiB41URy2owGIk2sGMrzMsmGIkCZkYoomoUTsymqJ4Hd+HEbF7Y8Kk1COehu4eagysEZzWx8pIT9WIYOppW5+P9z7f2MDy7Awun5OBxygk1VlETsvy4kz32OBeTWA344rty0XWD8aO6s3rDZ/irQmLrX3BS7DaZZS+VMGlsX6JRjYiqo2qRhDp0OWUkIMnpoiasW4/7xIwBwddA3PUEgnOUFLeDjpkpLJg8BEWW+eizw1aGp/5W/9jLuzFvxdvkj+lDhs/NXQ9t5vFfXh7nahKMRLnroc2AmRE6VF7D1v8cZG7+YOw2iahaN30SzOBc1Y3m+tMFp5H65SVQVydbVJAbV9e9av1Orhx0Pjo6NWENWTLiNGazSxwsqyF/TB/+8q9dTL3pYh6YmktE1bEpEi6HgiTBo2s+sgY2zbwtm/RUF16P2PoXNE1qkpMJP+yFpuloOhytCLJ0bQkzJg6o1aGBIkskOWWiBhyrCKEoEsluB0VTc/ElO7Hbleb+MwRnACLwFgjOcnTdoKImbHkWe90OQuEIhxI4k7hrM431p1UqtUNOYmPgH13zIXc9tJkMn5tf3TqAaFRnyQsfANRlHu0yJZ+Xs3HbPubmD2Lp2hIxKfAcRNcNDMOIswHcudcf15RWf7DO8//4hKtyOhNVNZx2mzXE5Nare1nTJmMZ7yde/Igxwy4gs5UHTdc5cKSGv/xrFyMGns+7Ow6bPt9PF7OoIJdINJjQUlAgiBGzvCw/HuQfxV8wIrsjM/OyrfkDsRImp0MhLdnJwqeL+dVPB+B2Gkgggm7B10YE3gLBWYyuG3x1qDJucMncOy/FZbc1moVs63Ohg7XFqulmoLxzr5/nXv0kbpLkw8+/D5j1316PnTY+N8v/up3rhnVl/s+GUFEdJrOVp8HwFLH1f/aTSHv3jOvHJ18eJecH5wEGLqcSt5Vf8nk5P76yOxhm7f+UG/victjQDYO7f3wxDrtCeqqbV7Z8wQ1XdENR4i0HZ+Zlk+Z1MmF0D1at30mZP8gRf4AlL3xAYV42ndqmiOBb0CRup8yw/h3YVLyXMZddwL3j+5PmNXdMjlYEeXHjZ9x6VW/K/EG8HgdIBrIkNCX4+ojAWyA4+p636gAAIABJREFUi7Cy21EdSTKzOLHAB8yhIcerwrRJkxvt1t9dWsOegxUM7deeooJcFKUuCN+518+KddspzMvm1a272bnXD8CilcVk+Nzcf+dg/md4d/7f658xYuD5LFpZzLKZI+OGp4hJgecGFTXhOO3Fpv4tmDyE2U+9RZk/yDP3jyLD54orKXE5ZYJhjb9v2c3Qfu0tW8rYbsorW77g6twuSEi8suWLBpMsp9zYlwEXtgXgteK9VAWi1hfLB6bm0sbnabb3RNCyOV4dxjB02qS5uGZoV2yKhNtl4/7l8fMIXtq8iwyfG5tNZm9pJR3bCgc1wddHBN4CwVlCogzjjInZ+LwuKzi5cXg3Hlltjjyuv8UPdd36bXxu2vjclB8PWkHP2Mu6sKggB103iKoGb5Uc4JJebdlaUhrf3OaScTldXDu0K8+9+ol5c5Ila3iK4Nwhqia2BPRXhSnzB5kwugfHKsJEohr3Pb4FgAmjezDgwrb4vE4G923Hmx/uZ27+YBRFwqZI/Ou9fbz0791k985iyQsfMGPiQKoC0bjeAZfD3M1ZOCWHXp1b89yrn1jPib4CQVNEohqyJLHu37v44ZDOVFRHcDll5k0ajCJLqJrBX/61i5LPy5lZW1KX4XOjaUJXgq+PCLwFgrOERBnGB54pZuZt2SS57BiGYT3+0WeHE3brf/TZYXp2SkeSiBuA89K/d7O1pJSiglxmrzC39nt09FllJ8luB8++uoNJ1/dFx2Dz+/vwV4XMTn8RcJ+T2G1ywi93FdURAC6/pAOzlm7l//IHsXzmSHP6nyxT+OQWxo3sRv9emVw5qBNVgQgV1RGrPjzD57ay2A88s425+YOtwLv+c4Zh8Nyrn1i7MrEvgQJBY8iyhK4bjMzuhKYZPPBMMflj+rBi3XZ8Xhc3Du/GiIEdyflBO8JRlXBEx2G3IUtCV4KvjyhMEgjOEhrLMLodNmYt3cqfN36GJEk8dd9wenZKJxiKUFSQy7LCERQV5HKwrIrHXixBkUGW6gbe3H1TX/4w60oWTB4CEiwsyLFqvles205U1Xl0zYe8u+Mwmq4z88mtXJPbhcV359IxI1nU1J6jpCY5mX37IMsHOVaDvWnbVwA4HTJFBbk4bQpRVefPGz+zHutzQRt0DQ6UVRJVdVas224F3TPzsi2P7jJ/EEWRrPPfM870747t3virQtZz4kug4GS4HDKKLMWtgWtf38XMvGyuG9qZruel0jr1/7N37uFRldf+/8zec00yEwbIBZT7RRBJRSVUCOjhWi2IlFJQ2hIUKBAF/XkjwFGhQLC29YCKFlGh6inUg5R6OZVbFQELWOkBEZWq3IQQA0MySea+5/fHMJsMMwkJl5CE9XkeHzN79kzerd+8e+31rve7rLTOcFBa5iOkaYTDYUwmmeOEmiMZb0FoJJiMCr26ZTCgZxvsSSbcFQE27jzI0eIysjo25/Y+7Zj1wtaYWsV3tnzNjV0z+eCfh7lrcBd+N70fJqOKLxDSuwpGG5xUzow/82A/jhSVU1Lm17OK6U4bBoNBr7V9elo/8em+gom6RPx2ej+8viAHjrnZ+XkhowddQ1bH5pwo8cWsuPzm/hy+PxXvtOPx+iPlJgpoYbCY1dgstmrgDzMGcLS4jNfe26evtKQmm1mYl0NQC2M8XeokD4FCVWhamApfCJ8/SLLNRDAY5qn7cigp85PmtBKGuHkw2WYkpEGK1XS5hy80IOSuKAiNBLvNzF2Du8TYX83MzeadLd/oXtyVN1mWlPm4rXc7jp+sACBMGH8gRIU/gMWkMmNcT1KTLfrNBmLdT8wmlWVr98TciLyBIAVT++CuCOilLcKVS7S2vyhYoWsFoP9NrSku8TBheHe9hKRyMx2IaG3lui+4a3AXXbvpThsP//xGrmnt1APsd7d8w9B+7Wmd6eChsTdGugee9lROs8gtTqgZ0U3pr723j7uHdGH+q7Hz6Mp1XyScB1XVIFaCQq2QWUkQGgmlFX496IYzLg9zJ/XGaDTox69p7eQXt3dl8apdMTeWMk8Ad0WAv3z4b8be1pXmTWx4fcEq3U+cDkuMG4U/FOKJP5wJkGaNz5b2yQIQadaUfzp4ub5zOkv/spsBPduQmmLmgbtuYPWmr2KaNkWJOuNU1vRvX/8nC6b2wR/QMJoMDL+lI//cV8iqDft56r4cmjpsojmh1gSCGooBfvIfnfSgG87MoxOGd2f73uP6+dF50F0RlHlOqBWy7iYIjYRoS/fKFLk8lJT7KKsIMOKW9szMzebBu2/Qg+7oOQuW76DopIdla/cw9rauWE0qXl9Qb3BSmWj9bO6cdeQv2cLJUh9aOKwH3dHvnP/qDkrKfXVz8UK9ptTj5/NvivnVT7L4n01fMaxvB5at3cNjz23hiaXbGJrTPqHWUlPMCTWthWHr/33H7CXbKD7lIaNZCk67lWAoLJoTzguTUUELg9NuSai51BRzzLHoPLhg+Q5OlYnmhJojgbcgNBIUxZAwSC4pi2TCb+vdjmVr9+Aq9Sa8sdiTTGR1bE4oFGb2i9uYVLCRLw6cID83O2aDXH5uNiFCFEztw4Th3Xn17b2UlvsTfmcgqF3aixYaBKGQxuZdRwkGwwzo2Sbhg5/FrMRpzWm3JNT0d0Vuel6byWPjbsLpsLB41S7GDO6MohhEc8J5kZpswWqNlIwk0lxlLVZ2gSpyefD6gmhiVSnUECk1EYRGgsWkMH1Mj5jW2tNG9+C19/bF+Ce7KwIJbd6CIS2uFvzpNz7lkbE3xJSUqCYoeOUTfYMbwIkSb8LvlLbwAoDZpPLLH3dFUarOYn/3fTmt0pNjtHakqJQZ43rGNNGJatrl9rJgSh/c5QGcdistmqegnvaMF4TaoigGVIPC29u+jtPc9DE9OHisJEabAS3Es2/uJt1p42hxGTarUVxzhBohgbcgNBLsSRaaOgI8OfFm3fu4suNI1D959ab9zBqfrdcx9uqWwb13XIcWBqNqiGm4A5Hgu2BqH/KXbAUiAfWUkVnMWbZdP2fjzoPMHJ/NgkobkqQtvBDFAPx189dMGfkDUpMtCR/SWqcnU+HT9Ppve5IJXyDMv3YdYf6UPhSfijw0Vvbm1sJhLCaVe+64FqNqQFUNOJJEc8L5EQxpdG3XnFXrv2TC8O6kNbFiTzbjcvso9yj85rUzCYeC07aq0QfBR39502UevdBQkMBbqHf4AyHMskv8vLAnmQiGIu4klR1HZuZm86d1XwAw655It78pI7NokmIhDHoL72h254/vxjYecVcE9N9R5PLQonmKHjylO22MGdyF1ul2aQsvJCSoRUpMtv7fd/TslsnM3OwY953FD/bjmMuLwQDD+naI2fg7bXQPjEYDz/zp07hg3WAwsPzdz7hrcBfMJpVki0k0J5w3JqNCaoqZ7XuPc8rt5xe3d6WgitUWp8PKhOHd9dfSnEmoKRJ4C/UOs0ll2ENra/25t383/BKMpmFwdrv4Xt0ymPur3gAcKy6jaaqF0YOu4dujpQQCYea89A+KXB5m5mbH2LwVuTwsWrlLz2hXDsSjRLLnPt1b2WRUaeqIeCQ75YFJSEA0oFmwfAd9e1yF1Wxk3uTeuNw+Ssr8lPs0Cpbv4IkJN7N4VayjxOJVuyjIy4kro8rPzea9rd8wrG8H/rTuC350c1uapdpok+mQ4Fs4L+w2M157kHSnjZH9O8XtRVi8KjI3pqZYePXtz9i+97ie2JAKb6GmSOAtCI2Ayu3i7x+VxfWdM8AQhrCBq9JSCATCfLTrCE9M+GGMbZs9yZSw3vaqdDtL8weiqgZ8gWBMB8Bpo3vwyl/36iUsC/NypDGJUC2pyRZ8/khTJp9f40iRm799fIABPdvQtqVD12SFL5DYxUQL0zItmQVT+6BpYTQN/mfTV2zYeZitu48xYXj3SDD/ynZ+O72f1NoK54Xb4+d/t33LzNxsfFW4RGU0Teatv+9nQM823HlLR9KcSRSdLCNJmugINaRGgfeWLVtYs2YN+/fvp7y8nOTkZDp16sRPfvIT+vTpc6nHKAjCOYi2i79/VBbtr3ay9C+7Gda3A29/9LXul3xb73ZYLCrBQFgvE6lqo+V3RW5SU6yE0WiSYqVgag7BkIbBAC//9TM96JY23EJNUBQDTZItzByfzY69x+jZLZPxQ69DUYFwGLNJJd1pw1XqS6jHUCjMqvVf8tMBnXGVenFXBDh8vAw4Y/VWUuYXJx3hgggENdZ8+A2357THjjmhFo8UlbFh52E27DxMutNGwdQcrBYTVous9gk145xpquXLlzNjxgxat25NXl4ev/71r7nvvvto06YNjz32GCtWrKiLcQqCUA0mY8QD+frOGRQs38GAnm14+6OvY/ySZ7+4jROnvDG2bas37Wf6mB4xNlmRLm1fsXDFDpokW7GYFZItCr9auBGzWeVXI7JYOnMgC/NyaJvpkGy3cE683iBHisv40/tfkNU5DY83yONLtzFpwUZmv7gtUro08Yds3HmQaaNj9ThtdA9efeczRvbvzON/2Eb+kq0sW7uHX9zelWtaO0l32nAkW1i9ab846QgXRHQePeX24Q0EE86NG3ce1F/n52aTbFFISTYSlAc+oYacM+O9bNkyVqxYQYcOHWKODx48mB//+MeMGzeOcePGXbIBCoJwblJPZxOjS/b2JFNCv+SFK3YyYXh3urRtoltjWS1GCvJyCARChDRItqn6xspASKPU5SfdaSXdaUMLhUlzJl3OSxUaIKUev94OftKILPKf3xLXbGlhXg6T7sxCVTmtzXAkA/nBfrbvPc5P/qNTFfW2VlZv+gqX2ytOOsIFkZpsYd7U3qgGhfznt+C0RzZQ2pNMeP1BmqVamXRnFvfeEbEUTLYolPs1VFSC4uMt1JBzBt4ej4eMjIyE76WlpeHxeBK+JwhC3aEoBlqlpXCqzK+7kFTll2xPMvHLJ9fxxtwhBIIGTpZ4YxwmZuZmc01rJy63N9LNTVMp9wQpyMshNdlcxQgEoWpCocgD4dgh1xAKhRmU3Zpbb2xFOBzGYDDwwT8Pc/xkBZ99XUzPazNj9PjYL3sytG97TKrKNa2d+kNhkctDZtNkbFYjowZ05he3X0uTFHHSEc4fTQtTXhEk2WqkyOWhyOXBgEa6MwkMYU6cNVfOGp9NSpKZkKZhVGWlRagZ51TK4MGDmTx5Mh9//DEnT57E7/dz8uRJPv74Y/Ly8hgyZEhdjFMQhGrweoOcKvcT0jQKpuZwdUYSjuTEXf/cFQHuH5VFkcvLt0dL9BsJnOkiOGZwZ+ZN6U1pmZ8nX/qYSQUbyX9+C4eKymRJVag1qqowcXg3bro2E5tV5aZrM5n1wlYmFWxk1gtbuenaTNKa2rjlhqvj9PjUH3dSdNLDnGUf6+UlENHy4aIy/IEQ//mHbRgMSNAtXBAut5eC5TtQ1UjJyazcm2juTCZ/yRa+PlIap835r+7AAKiKIntdhBpzzsB7zpw59OjRg0cffZTevXvzgx/8gD59+vDYY49x/fXXM2fOnLoYpyAIVRCtn81/fgt/3vAVvkAIo6JiMSnMm9o7pkZx+pgerN60X68Ft5qNCbPiLdNSUBWFghWxN5qC5Tt0hxNBqCkOm5kfXteSguU78Ps1vexkYM9WPDHhZmxmFQMGgpUcd6JEV2mi5SUj+3eKqbc1GxXZVClcFIKhMEUuD0ajgVnjs2l/lZOC5TvI6tic9lc5mDvpZp5/pD8De7YCItoMaWEcSWbZ6yLUmHOWmpjNZh566CH69u1Lly5dqKioICkpCYfDAcA777zD0KFDL/lABUFITLR+Nqtjc27v044nX/o4xut45vieeLwhgqFIYHLPHd30WvCqXE0MnHFKqUyRyyO1jEKtsVqNuMq8pwMVTQ+6b+/TjjnLYvU64pb2rPnwG/2zlRs4Fbk8tM5IYcHUPnxX5OaOfh3AYJBNlcJFwaga6NUtA59Pw+mw4vUF9Xl15pKtuk5njOsJwO5/F6MYDCgiPaEW1Fgu06dP5w9/+APNmjXD4XBQWlrKAw88wLPPPnspxycIwjmI1s+OuLUTC093WYMzGWqTamT5O5/j8YVQDAZKyvyoiqK7mpztIjEzN5skqxHT6eXWyqQ7bdKhTTgvosv3htOBclV6/XFO+zg9rt60X3997EQ5isFAyzQ7zVIjVoPzp/aRTZXCBWM1K4wZ3AWjaiBMGFVR+Ml/xOt04Yqd/OQ/OjF9TA+KSyo4Ve6/zCMXGhI1Drz/8pe/8MUXX/DTn/6UN998k2HDhuFwOFizZs1FG8y3337L6NGjGTJkCKNHj+bAgQNx54RCIebMmcPAgQMZNGgQb7755kX7/YLQEIkGNKpCwgy1qhr4xe1dWbZ2j27FphohPzcbl9vLa+/tY8rILP4wYwAL83JIc1opKffzj8+O6raDcMY+S2oZhfPBmWIhPzfi452fm12lXoOhMBOGd+ep+3KYN7k3e78p1n3jp4/pQUbTJCp8AWa9sJXJCzeSv2QLZRUBNFmJES4Qz+kyqMITZZws8ZFsUTCqhoQ6NaoGnA4Lr/z1c0Ih0Z5Qc2oceGdkZPD888+jaRqPP/44/fr1Y+7cuSQlXTxrsSeeeIK7776b999/n7vvvpvHH3887py3336bQ4cOsW7dOlatWsWzzz7LkSNHLtoYBKGhkXzal1sLkzBDbVKVOFvBRxdvId0ZaYzz0NgbaZ3h4LOvv2fG81vw+jX++O7ntGmRyuZPD/PEhJt5ccYAFkztQ5sMu9QyCueFyaTSJsPOD7u3pHkTKyajWqVe27aw40g28+GnR0hzJvPUfTksmNqHzGZJJNlMzF22XfYeCBcdTQufbshko2D5DrzBsJ7YqEwk0aHQNNmMy+1FVWUVUKg5Nb6D7tu3j5/+9Ke0atWKJUuW8I9//IOHHnqI0tLSizKQEydO8Pnnn+v14kOHDuXzzz/n5MmTMee99957jBo1CkVRaNq0KQMHDuRvf/tb3PeVlpZy5MiRmH8KCwsvylgF4WJzIXot9YQIhzVSkkwJM9RGY+KMzZGicu6dv57ZL26ltMKvHw+FNN0DfM2H35D39CYmL9zIzCVbcXsCF/fChQbHhWjVYDAQ0jT8AQ1VJU6vM8b15E/rvmD2i9soPuXhjfe/ZMHyHTz23BY0DZLNKn5/4lbesvdAOJvaajXaQVVVwGm3EgxpvPPR18wY1zNuXrWYFUo9QfJzs3HYxGZVqDk1ahkPkJuby8MPP8yoUaMA6NWrF/PmzWPYsGF8+OGHFzyQY8eOkZGRgapG2q6qqkp6ejrHjh2jadOmMee1bNlSf92iRYuEf0grVqzgueeeu+BxCUJdcCF6NaoGFq74hKyOzblrSBe9MY6qKigKfHnwlL6BcsGUm8lomhJ5X1FYMOVmZr7wMQXLd1AwNSdy01EVmqVaEwY3/kDoYlyu0IC5EK2WefyUVQT0mtkRt7SnYGoOgWCkedOaD/azYedhANKdSfwhvz/BIKgKqIqBk+U+LCZTwg3BsvdAOJvaarVJioWZp1cPxwzuDGFY8+E3uCsCPDHhZlQFQhok2VR8/sgcerTIjSPZjNVa43BKuMKpsVL+53/+h1atWumvk5KSWLBgARs3brwkA7tQxo0bx4gRI2KOFRYWMnbs2Ms0IkGomvPVq88XJKhp/HryzZR7gnpHwGhWRlUNbNx5kBnjsgkGg5hMRvKXxJ4TDb5DmkZ+bjYeX6T5TqLgRnyShQuZW/0BLWaj2poPv+HHOe15fOnHcVo7WlzGVWkplHu8PPrcVl2vjqRIaVVBpUYmsvdASERttaooBpx2C64yL51bN8HjC5HutLFh5+FKD4Q25k3uDYDDZuTpNz5laf7AS3shQqOixqUmlYPuygwYMOCiDKRFixYcP36cUCiSUQuFQhQVFdGiRYu4844ePaq/PnbsGJmZmXHf53A4uPrqq2P+SXSeINQHaqPXQCBEkauCY8VllFT4mf3CNggbEjpEJFtN3DW4C4FgkGapSXqwUvmcjKYpes1iklXFYjKiKIY4t5Npo3sAYYpcFfj9wTr57yLUPy5kbg0l8Ok2qgr547LjtLZy3VeAgSZ2Ky/PGsTogZ0oWL6DCm+Qpg4LBVNzWJo/kIK8HJx2MyfdXgKyIiNU4ny06ki2EA4b8Po0yjyBhPOg0aigKgrlPu30KqEkJISaU2/WRpo1a0bXrl155513GD58OO+88w5du3aNKTMB+NGPfsSbb77J4MGDOXXqFBs2bOCNN964TKMWhLolEAhx8LhbD6CX5g+gyOUhHA5X4RCh8eGnhxnat71uO3j2OdFMt8WiUOryU7D8YyYM787GnQeZMLw79iQT7ooAb3/0NQN6tom4o+Rm0zo9BbO53kwhQgPAeHqjWtTHe8StnfAFQjgdFqaMzMJqNuKuCPDae/twub18972bOcu261nt0QM7AfDI4o9ist2ffF7I+h2HyM/Npk2GHZNJvcxXKjRUjEYFp92MP6BRdNKTcB68947r8AdDmI1G8nOzaZIsNd5CzalX9gRPPvkkr7/+OkOGDOH111/Xu2JOnDiRPXv2ADB8+HCuvvpqBg8ezM9+9jPy8vKqzMYLQmPDVeaLyVpH/bhDWmJHk1AozI1dM/nHnmPV7s5Pa2JF09C/e/Wm/dw1uEuMBeGwvh1YvWm/nikX71qhtljMCjPG9WTELe315jm/KtjIC6v/D6fdyjN/+pQFpx1Kpo+JZr3PrM5c3zlD7y5Y+fitN7Y6425S5ruclyg0AoxqJKO9cefBhPPgy3/9DJvZhKoYyHRaJQEh1Ip6pZYOHTok9OV+6aWX9J9VVZU29cIVy9lZ62++c5Gfm82GHQeYMa6nXm4SdYh46+/7cVf4uWtwF06cqkhYG3uipIJmTZKwmhWc9simyi8PuXCkmJkyMour0lI4cMzNa+/t48tDLiDqfiIuEkLt8Po13tv6LXcN7qLvNQDYvvc4dw+5hnmTe+Ny+2iWauXp1/6p6w3OrM689ff9Md8ZXfHRzxFdCheApoXx+TVOlFQwZnAX7MmmmIx3dB689w6NZJuRgHa5Ryw0NOpV4C0IQvWolZbqAeYv/4SXHx/I0L4dUBVOO5qECWkaFb4AA3q2xpFs0dtyvzF3yBnXE0WhpNzLqbIATewa5R6Nmff0ZMErO/nykIuNOw5x07WZqIrCsrV74ja/qaoBTQvLhkuhxpiMCrv/XcxP+8dbAk7//Wb+e+4Q1NP9t8/25Y467vT5QUsG9GyNuyLA6k37cbm9GAyGSueIHoXzp6TcR0jTePS5rfz+gb4QNlQx/yl4/RrNU23VfJsgxFOvSk0EQaieaPe/aMnInIm9KHUHyH9+C7lz15O/ZAvl3gAWi8pTKz4hf8lWyjx+/aZxyh0gf8kWJhVs5DevfUKFN8SytXuYVLCR2S9uw1Xi4547rgVg/Y5DOFJMWC1KQn/wL749wcHCUjQtjKaFcbm9FLkqcLm90kVQSEhqsoXZ9/QCDAnLnip8Ib7+rgQM4YSaU43wwurd+rL/lJFZFNzXhw/+efiMu0mKtI4Xzp9AMGLF2qtbBhXeEF8cOJFQixZTJHySuU6oLZLxFoQGRLT7X0FeDqFQGFU16BaCcKbmtWBqDk67lQnDu+O0W3hiQi9WrvuKNR/s10tSZuTehBaCeZN7oyoKx0+WseD0Z5fmD0BVFVJtZiwWI1aT8fTvjGTK//XVcZ59czfpThu/f6AfJ0t9zHtlu17CMvueXrTJdEg2XIhBUQy0yXRQUu7TdfjAmOt1b3kDBrq0a4LXG0IxhGNWZzTCPLooVusLlu9g3uTeDOrVhv49W+NMscjGSuGCMJ3uzDt99PV4TruWJNsqzX+qgmqEz791sXHnQcYM7kLbTId09BVqjATegtDAMJlU0p1JABwrLkvoVIIhzC9u76q3ik932pg+pgd/fHcfH+06wqIH+1Ho8sbVez8w5npOlfl4aNFm/VjbTEdk81C5n0kFG+N+ly+g6UF39Ni8V7bz2+n9xFtZACJZwZJyH4Gghsmo4A9Ear2febAfRS5vnLd8IBDEbDLi9vh1Z4ncod0Sat3l9pHWxKb/TQjChZCabKHc4+N4gvnR4/XzXyv/xbTRPdi48yDD+nZg5bov+NWILNJEf0INkUc0QWigaFpYdzWpTLrTBmGDHnRDJEBZtHIXD959A1md0qjwaVV6eidZTVzT2qkfO+n24nJ7sZgS/y5NS2xlGAjKriMhotODhaU8vGgz985bz8OLNhMOh9n972K8VeiwWWoSC5bvoOikR3eScJX6EuqvpMwv7eKFi4qnmvmxyOVh8apdDOjZRv+36E+oDZLxFoQGSkm5jyNFpQmdSkJV+Hrbk4yYMhxgCMfs1F+9aT9fHnIR0jSWv/MZI/t3igQ+pwPoQ4WltGyewlP353Ds+woMBvD6g2Q2S8ZsUhN2uTTJ0qtARKdnr4gsW7uHmeOzCWmaXhJVWYshTaNgag5Wi6IHOtPH9GDGuGwWrjij9Wmje/D2R1/zqxFZl/kqhcaCu8JHmDAP3nVDzNwYcdUJR8rwFEXXZmqKGaOU1Am1QAJvQWigBIIaT7y0nVm5N+m1sGaTiqaFCYS0uGB4yWO3UuTysnLdF9w1uAv7vi1mYHZbnHYLj/ziRrZ/dgxVUdi+9zh33tIRiATQRtXAC6t347Rb+eWPu7Jo5Znyldn39MKRZGb2Pb3iarxTk2WTmxDRaWUdRhvnmIwGVFXhvtE/4NfLzmhn+pgemE0qjz77Efm52Tz3yK3c9/QHGFWFQDDIvMm98fiCHD/p4e2PvmbM4C5S0iRcMJoWxl3ho/iUlwXLd5DVsTk/+Y9O/L+xN6BpYdb94wCqYuDe+Rv0BMeSx27FqKiiP6FWSOAtCA0UkzFS+jF/+ScAXNPaqQfGWR2bx/l6W4wmnly6hQnDu/Php4fp2+Nq3WZQr2H0B0h32nAMH0a5AAAgAElEQVRXBPRj7275hiKXhwnDu+tBN5yp5S7Iy6FF02R+O72fXsObmmyRjZUCcEan0W6V0cY5lf3mszo2Z8POw3pJ1NxJN8dsFE532nDaLXx/ysPLf/2MSXdmYWthZNKdWVgtsrIiXBjRcqgTJR5eWL2brI7Nub1PO558KX5+hNhN7KnJZtlYKdQKUYsgNFCi1mzRutcxgzvrgXF2txasWv8lE4Z3p2BqHyYM705I006Xm5gYmN1WD8rhzI1EMSjMzM2mw9UOCvJySLYZubZdUwDsSaaE5SvFpzwcKS7DZjKS7kzCabdK0C3oVNbpiFs7xelu4YqdjLi1k35+dMNk9OeQpvHYL3vy5w1fMeuFbWzfe5ziEg+TCjae3pTpxeOTLqrC+RMth7KajRS5PAl1WrB8B4ZKIVNUm6UVfrEUFGqFZLwFoYEStWaLZporb3K0J5nYvvc42/ce189/edYgPZvttFsSBtFG1UCS1YLJaGDs4++T7rRRMDUHQM+Cn13LXVLmZ9naPRTk5WC1ypQixFJZp15fMKHu1EopoKhGoz+risLSNXv0LpZRzUU/G8082pPr5nqExke0HCo6x6kKNdKpqii43D7KPAGxTxVqjGS8BaEBoygGnHYr6c4kLGZVz35HbyCV8QUD5Odms3HnQYzGxA4lqqJgPR10w5msTrrTxupN+5k+pkdMI4nHftmT1Zv2S6tuoVqiOjWqVTjjhM/8PH1MD1Zv2q8v7ydbFL2LZXRD5epNZ9rGRze9CcL5Ei2HWr1pP9NG90ALc06d5udm4wsGsJqNzHtlOyXlvsswcqEhIukpQWgkRJf0572yXQ+SK2+ELC0L0iYjmUl3ZmEyGeLcUGaM68k7W76m3w2t+O+5Q7j7dMZbVRSmjMyiRfMUvP4g9//seoyqgrsigGKALw+5pFW3UCOcdmu8C8+4bKxWlafuyyHDaQODgYfG3oCqKPiCAY65vCx+sB/fFpaR7kziH58dZdroHqgKhDTYsOOAaE+4ICrPna+9t48pP+2e0C0qJcmku5rYLAoKUOoJiH2qUCsk8BauePyBEObz6HZ3vp+7VMQs6ftDfO+qiAmSQ5rG9Gc260uoA3u2omBqDoGQRigUZs0H+9mw8zBbdx+jIC9Hv9nYLAqtMxy8s+Vr1nz4jf770p02Jgzvrp/nsJkv16ULDQSjUaFtZmT/QCCoEQ6HqfAFKCn1YU8yE9Igf8lHceVMkQ2WSSRbFK5t3zxuU7BoT7gQonNnQV4Oxac8FJ30ktXeGdM5NdH8VzA1B4NBEftUoVZI4C1c8ZhNKsMeWlvrz739u+GXYDQXRnRJ3+X2smjlLpx2KyP7d8KeZKKpw4rTbtWDmg07D/OzgZ2ZvDC+G2UopLH4wX7s+eYEzZtYwQC39W7H0JwOfPOdC6NRpWXzFIxGhd/c35dki0nqu4UaEXWAiOrumtZOXaNpThsTh3ej/VVOPeD511fHCWkas1/cRn5uNi2csb7f0c6Boj/hQlAUA+FwmMee28Kf5g7hWKXOlW/MHcLQnA7c1rsdqqLwzXcu5i//hJCmoSgG5ky6WexThRojM5UgNDI0LUxYCzNvch8UBbQw/Hn9l+z+d7HeNv7LQy4G9myFqii8+Fh/Qhp6xjtaXlLu12hzlYPiU/Gtk48WufnVwo26Z7f42ApVcXa7+BSrCYAXH+tPGAiENOa9HPHx7tUtg3vvuI5TZT5OlHjZuPMgYwZ3wW4z8sSEm1FVA2W+EPu+LWbNh9/oNd9hqTQRLhBNC6MYDKQ7bVT4NDZ/ephf/6r36WZhGkajgdLSIKfcXlqm25kzsReqopC/ZAuzxmdf7uELDQgJvAWhERH1o63czGb6mB7ceWsHABat3MUDY27AYlFQDMppO7YzNd72JBP9bmiFzaLw2TcuOlyVSsHyj+NstaJOJ1Ev79/c35dmqTZ9DJUDLfH0vnI5W48jbmlPvxtaxe0tyOrYnMPHyxjWtwOzX9wW05ny82+KoX3zuM+4KwJs2HmYxat2UZCXI7oTzpuoTt/4277I/gEV+vVoxX/+YVuM5t7b+q2ewGjTIhWz0UCRy8P8V3fw9LR+NHVIAkI4N1KUJAiNiETtuRet3MX3p71pi1wemqVasZlNeiATPW/hip0MzelAhtPK3Y+/jz3JpHt/VybqdFL5tc8fwusN6jewhxdt5t5563l40WYOFpaKz+0Vytl6HPzDtgl1N+LWTozs34nFq2IbNC1etYvsbi2q/Ez0NWFEd8J5E9Xp9r3Hee29fYRCULAiseaic2owFObuSu5PXl9Q9CbUCAm8BaERcXZ7bojcFKxmI6oS2RB0tLgMxZDYpzYQDOluJu6KAKpSte1gzGvVQKnHnzDwF6utK5fKerymtRNFMVTpj1xVg6ZwOFzlZyCiP4MB0Z1w3lTW6ZeHXFUmHKKaK3J5YoLs6LwqehNqggTegtCIMFXhz+31B9HCkD8um5XrviKkJfapjR6PeiX/66vj5Odmx3h35+dm88WBEwzs2Yolj/Zn3uTeGAwGTEYFcxWNJ8Rq68qksh5H9u9EKBSu0h85kfd89CGvOq3OzM1GUQxkdWwec47oTqgpZ8+bgWBinYa0Sj+ffhGdL1eu+0r0JtQICbwFoRFxdhv5aI13etMk/MEg9mQTLreXNR/sZ8a4nnEBtaLCvMm9efujr/nykItVG/bjtJspyMthaf5ACqbmkOG0ktU5jR/ntOfJlz6OtO5+fgvFpzyUB0Is/89BFEztw8zcbK5p7RSrrSuYynq0J5l46+/xupsxLhuPP0BaE2vcezNzsynz+BI+/CXbVB4YcwMvrN7No89+xO192jGwZyv9d4vuhJpy9ry5YceBOM3NGNeTNR/sj/Gef3paX+b+qjevvbcPl9srehNqhGyuFIRGRNSP9ulp/fAFQigGMKoKoXCYkyVe3vnoW2aNz2b+qzsAeHLizRhVA6qioKrw6LNb+P0D/cgbdT2TRmgYVQXCYfKfj/VWXvJo/7i621Xrv+SuwV1YUGkT3PQxPWjqsIrV1hVKZW/5QFBj97+LAXSHEqNq4N0t3+gOJU9O/CHzp/QheDqb6PUFSUkyY1Bg7qTeKAoEQ2He+vt+dv+7mGmjewBnanCfnHiz7swz+55eojuhRpzdA+G7IjfNUq3Mm9wbMKAqBoxGA8P6tuen/TujqGAAnn7tEyYM747L7RW9CTVGAm9BaGQoioGmDivfuyqY8fyWuGYkP7+tK7+5Lwd/KKwH5r5AkPwlHzP7nl7Yk2LdIDQtrHd1iwbUqhpfqzugZxs96IYzGzufntZP3CWuYKLe8pV1FA2O50y6mTtv7cTQvh0wGRXCWphHno1voLP4wX6Ua5ruwhNl8apdTBjeXdedUVV4efYgcTURak1Up8eKy5izbDtL8wdw4JibZWv3xDd0ysvh0We3MDM3m1S7md9O7yd6E2qMBN6C0EhJ2J47N5vUZIvexCRqwWZU1WpvHo5ks+4LblQVNC3MI2NvoEvbZnqjE68/mLC+O5q9FK48zrb4a5Vu17PfSWaFCr+Gzx9EVRWSLUYURUmo2Y3/PEKPazIS6sueFPEFT3faMKoG0pxJl+NShUaCqkbqvcNhaJZqTai5UCjMvMm9UVUFh82M2SyhlFBzRC2C0EiJtudemJdDUAtjPJ3RMVaqQ4xmearC6w1y9EQZ81+NLR9p28JOy3R7jA/4vMm9SXfa4rJDUvd4ZZLIU372Pb1ok+kgGAxxqKgsLsBunZ4Sp1n76XbwVrOaUF/RTZn5udnSyEm4YBw2M/m52Xyyr5Ce12Ym1Nx337uZs2x7jG4l+BZqSr24I3o8Hh544AEGDRrEj370I/7+978nPG/79u384Ac/YPjw4QwfPpxRo0bV8UgFoWFhNCqkOZNo0SyZNGdSTNBdHX5/kCJXBa4yLyk2M6MHnvFMXrRyF16fFlfj/fJfP2Pm+NgNSVL3eOVSnbXkqXJ/nH4Klu/gVLkfTdMIA4TDhAFFgaubp6AohshG4bM2X3a4OpWFeTm0zXTUWN+CUBVWq5Grm6fww+4tefmvnzFtdERz94/K4uVZg5g3uTetMxzcPyorRreCUFPqxSPayy+/TEpKCuvXr+fAgQOMHTuWdevWkZycHHduhw4deOutty7DKIXa4g+EMJvUyz0MoZb4/cGE2cj7R2Xx7Ju79QY6Zy/Bbt97nEkjsijIy4EwmEwKSWYjxSUeQiENVVVokizLslcKVXnKB4IaoVDi9ywmJaH20p1W/IEQAPf/7HqMqoK7IsALq3fz0NgbadE8/l4hCOeDpoXxBIKEQmG27z3OKbefuZNvxuMNxazwVZ4TQyFpnCPUnHpxB/zf//1fFi5cCEDbtm257rrr2Lx5M7fddtt5f2dpaSmlpaUxxwoLCy9onELtMJtUhj20ttafe/t3wy/BaOo39UmvVWUjC6bmMDM3m407D+reymcvwXL6/qMawWYycvj7M0HUnIm9IN1BSPOiqgqpSWYslnoxBQm1oKZajXojx2kEqtSPLxC/khLV3u/e+JQxgzuT2SyZ4lMeVm/az91DOqMqBo4Vl4mmhDhqO69WLo+aMLw76U4bXx5yYVJUHl/+cUJd9uqWgarKpkqh5tSLGero0aNcddVV+usWLVpU+cdx4MABRowYgdFo5O6772bEiBEJz1uxYgXPPffcJRmvIFxs6pNeq8pGhjSNZWv3kJ+bjWoi4SY4i0Xh2VX/YszgLpiciv7+7x/oi8GgxGWMWqWlSKDUwKipVqPeyJVrvPNzs1m6ZjfZ12Yk1E912vvF7V31lvJRX2WLWY3TVLrTis+vxe1nEK48ajuvVi6PWr1pP9NG92Dxql1VdrIMaRpjBnchNcl8sYcuNGLq5I43YsQIjh49mvC9bdu21fh7unXrxocffojdbufw4cOMHz+ejIwMevfuHXfuuHHj4oLywsJCxo4dW7vBC0IdUF/0GgiE9F39Z2cjVUWJyfQcLXJTMDVHdzX54sAJHElmhvXtwMp1XzDpziyyOjZn1IDOGAwR/+Wsjs3ZsPPwme/JyyFdAu8GRU21eraHN8DSNbvZvvc42/ce5/5RWaf1E0ZVDJSUe6vMhKuKogfdcMa3e8rIrIRZyPwlW8jPzZa67yuc2s6rlcujbuqaTqvMFAqm5gBUqcuC5Tv47fR+kkAQakydKGXNmjXVvt+yZUu+++47mjZtCsCxY8fo1atX3HkpKSn6z61atWLgwIF8+umnCQNvh8OBw+G4wJELQt1QH/QaCIQ4eNzN0SJ3wmzkv746DkQCnGSLEmMlaDErPP3GpyzNH6B7K6uqgdv7tOM//7AtJksJ6MF3KBSmyFUhvssNiNpotbJrzrHiMrbvPa6/9+ybuwFYmj+ATZ8c5qZrM/niwImE2ku2KDEPeRazws+feB/rWfsFKu8/iD7YNU+1ia6uUGo7r0bLowZlt+aWG6/mxCkvC1fsZPTATlXOidF9C4JQU+rFI9qPfvQjVq1aRffu3Tlw4AB79uzhd7/7Xdx5RUVFpKWlYTAYOHXqFFu3bmX69OmXYcSC0Phwlfn0G8uZbGQk0PnXV8f1QOn1uUM45vLG3YRenzsEny8S9KSmmAmFwixcsTMuS/nEhDPdBVXFwL3z1sdYzUmQ1DipbiXl1htbMeuFrQm1l2xRqtTb/kOnYn5H9PsgordwOPJgpxgMmEzycCdUT2qyhZnjs0m2mggENX3+6nVdC4KaFqNL1Qi9rmvBqg37Ix1+BaGG1IvA+95772XGjBkMGjQIRVGYO3eunt1etGgR6enp3HXXXaxbt44//elPGI1GQqEQd955JwMHDrzMoxeExkHl+tpokH1NaydTRmaxasN+4PQGuARWgtEl/m++c5HutOG0W6qsi1QV9ODJaDLwzAP9+P6Ulzf+to+8UdeLF3MjJTXJnDBreKSolBbNU+K0B5FseLmPKvWW3jRJD+aj33f8ZBkAvbplUFYR0LtaysOdcC4UxcBVzVJwlXlRDOia8/nju6amO236hvNwOEwwqElZk1Aj6kXgnZSUxOLFixO+Vzmj/fOf/5yf//zndTUsQbiiSJSRdLm9NLFb9Dpdk1HB60vcoTKkaby0di8zc7M5eKyEdlc1qaKhjkrB1BxsFoVdX36PyWRk486D5A69Dp8/hMvtlcxkI8RiMdIqLYWCvBxCoTCqasBhM3NMMWAwGBJnw1Wlmg2XYZwp5jN14qqBI8dLUVWVEbe058c57TlR4mXC8O6s3rSfLw+5mPfKdn47vZ883AlVYrUaUT0KwVBI12R1mytfWL0bl9vLrPHZtM6QPQXCuRGFCIIAgDPFctoV4kyDkvzcbBxJZpx2K+nOJFKTLfoGuMpEl/gnDO/OC6t3s2HnYcwmNeH3vbPla+6dv54HntlMy3Q73do7Gda3A08s3cbEBRt4eNFmDhaWomnijdvYsFiMpDuTaNE8mXRnEmazSmpKpMHSvMm96dUtA6ikPZtZfyCsTLRM6YFnNnPv/PXMfnErpeV+2l2Vytsffc0tN7Ri5pKtPPbcFpat3cMvbu/KNa2dUo8r1AiHzYzRaGDGuJ763FbVnAeRIHz+qzsoLvHIvCWcEwm8BUEAwGRSaZNhpyAvh6X5AynIy6FNhh2TScXnC3KixMO3R0uwWJSEAXWyRWHB8h089Ise3DW4Cw8v2sy7W77hyYk3szR/AAV5OThSzAz5YVuef6Q/WR2bU7B8B16fFudYEe1wKDReop7JjyzezMQFG5j94jbuGtKFl2cPoiAvh9bpKRw7WY7FXLXesjo2B86UnwQCYQb0bKOXl0TfW7xqFyP7dzq94iK3PaF6Sj1+du4tpFkTKwV5OSRXMedZLAoj+5/p6nuy1CvzlnBO6kWpiSAI9QOTSSXdmRRzzOcLcvj7Mk65vbywOtK58vU5Q+I2wAGsnDuEcn8Il7ucB++6AXdFgEUrd+Fye5k3uTezX4x3OKlqGVcyk42bRC3lF7wasWZLTbZwosSDxxfk828q6NbeGedqMu2ZzfEuOZpGaoo5oZ5SU8zMvqcXqcmWOr9WoWERCkXK5tKcyaTYTPzXyk/5/QP94ua8MY+/zzMP3gJEgvGSMj/Nm9jO8e3ClY4E3oIgVEtJRaST5YN33aAHND9/4n39/aUzB6KqRqxWIydKPJSWBfQAPd1pY9roHrz23j5cbl+cw8mTE2+u0rs56kgh3QgbJ9W1lI92DzxbQ18eclEwtQ/5S7YCxLjkPDL2BlRFoVmqNaGe0prYcNqtlJT79P0KspdASESyzcjLswaBIYw/ENFp5TkPoGBqH9KdNuxJJtKdNh4aeyNv/X0/Xdpef5lGLTQUZM1NEIRqiW5uc1cEEtY5Ws0qVmskMA6GNApWxC/zjxncmZIyf8xni1wejKqBZIui11JGv3P6mB48/do/yX9+C4e/L8PnC9bBlQp1SdQzuTLpThsGiMuEVy4VcVcE9POjLjmPjL2Blul28pds4enX/sn0MT1i9DT7nl447VYOF7l5eNFm7p23XvYSCAnx+4MUubzkL9mC16dReKI8oU69/iDTRvfAYICZ47N56+/7GfujrrKiIpwTCbwFQaiW6Oa2aAvlswOayjcaTSNhFrNl8xQ27jwYczzdacOoKpT7NdKdNp6e1o+lMwcyZWQWf3w3kt2M1u6WVMQG7ULDJ9pS/mw9KYqhylKR6WN6sHrTfv141CWnS9tmuuXgl4dc/PHdfUwZmcXSmQP57fR+tMl04Pb44wJ62UsgnM2pcr+upQpfgJXrvoqb92bmZmM2qbz90df4/Br2JDN5o64Xq0qhRsj6rXBO/IEQZpN6uYchXCYq+y+/9l4koGnZPAWrWaWJ3RpzozGbEpeNmE0Kowd14dujpTGey4oCIQ2MBvCFNAiHaZ3h4Fc/uQ57koVwOIzBYNA3xPl8QUoq/IRCGqqqSBlKA+bslvLR0o+Scl9CDTVPteHxB3C5vfqx/NxsTCYFs3Lmge/3D/QlNdkaqcU1GLCZjCiKAaNCTI3uN9+5mL/8E9lLIMSQbD7TJdVkVHC5vbz23j4mDO9Oh6sdEDYQ0iLB9pSfZnGyxIvFrIpFpVBj5I4lnBOzSWXYQ2tr/bm3fzf8EoxGqGsS+S9XFfA67VZmje/F/FfP1OfOGp+NFobmTawszMshGAqjKgZ8wSBfHSrBYjLgSLHGNVb56uBJ/vrRt4wZ3JkWzVPQNA/l3gBzXvpHzHmt0lIk+G6gVG4pHyWaCa9c4z37nl44ksyYTMppDWkYDAb8gSBfHznFVekpvDRrIGaTwskSn97sJKqRq5uncDxB98s5E3uJy4mg4/UGOebysnLdF/z89q4EQhqPjbuJ0jI/rTPtlJYH4jTUNNWKRTpXCrVA7laCIJwTi8VIeg2CW0Ux0LZFfBYzmhU/UeKhotwf002wYGpOTFe4yp0JU+1W3WowWvvttFspcnnOnJeXU6OxCQ2DqjLhgUCIEyVenHYL35/wsGhlRBe9umUwetA1LFyxk4KpOYm7XOZVcXxqjtTkCjqlHj8r133BsL4dsJqMLFu7hztv6cgLq3dXra2pOVSENFKSL/PghQaDPKYJgnBRiWYx051JOM8qRQmGtDiP5eq6wp3t771o5S7dN1c/LySb4xobiTQUddcJhjQ96AYY0LMNC1fsrF5L1XS/lJpcIUoopDGgZxsWr9pFOBzxhH/mT5+ec56SOUioDRJ4C4JQZyTafFldV7hENzp7kin2PDU2cAoGNb53VXCsuJzvXRUEpYa3URANns/WkD3JpL+uTksJj6sSdAtnUFVF94E3GAwxnvDVaUtVDTLPCDVGAm9BEOoMiyn+5vXFgRMJu8KFCFVp41X5vNQks/5+MKhxoLCUGc9vYVLBBmY8v4UDhaVyU2wERN11DAZidFHZ5vJfXx1PqCWTyVDlcdGGEMVhM+O0W0h32vjgn4f1n6FqbalGOHK8VOYZocZI4C0IQp3RxG5l9vhYC7mr0u2kNbFSMDUn0lp+ag7hsIZZNTLzrBvdY7/sSbuWqXpL+7M3Vrrc3oR1mFEnDKHhEnXXWbZ2T4wuNu48qAdEz765m6NF7tNaGqhr6ZdProvTWLGrnIf/6yPRhqBjtRpxpliZOT6b9TsOseff3+taS6StdKeV/QddPPHSdplnhBojO5IEQagzFMVAm7M2X2pamP/3X5spcnm4prWTkf07kZpiJhQK0zTVypSRWVjNRtwVAZau2YPL7eW30/sltO8KhsIJy1OC0iSlwRN115k0IguA39zfl1AojBYOYzap/P6BfvgCsRt6i1wVLFzxCQBlFQEmP7Up7ntFG0JlrFYj7Vqk6nOUxaTw9P19CYTCBAIhjhaX0aJ5MvfOXx/zOZlnhJoigbcgCHXK2RZyXm+Q/NxsNn96mME/bEdpuY+SMr/eCS6zWTLL39nLgJ5tuOeObjR1WLHbzAm/26gaEnpAG2UDXaMg6q4TDGoUl3g4WeqlpMzPxp0HGfujrnENTBy2SJZ85bovUFWFp+7LoaTMz+pN+/nykEu0ISQkOkdpWphTZT68/kjAvXLdV7jcXmbmZtOrWwan3H5G9u+EPcmE1x/EItaUQg2QwFsQhMuK1Wrk6uYp3HJjK55Yuk23Dpw2ugdv/G0f9/3seu4e0oX5r56xIJx9T6+EXeKcdqve7Key125qsjmy0TIUxqhGbqpGuUk2SDQtzKHjpTF6iGolb9T1MQ91UW3dNaQLs17YGnP+2x99zZjBXeJWToJBDZfbK1q5wtG0MAcLS2P85KeN7sFr7+1jwfIdFOT1ofBEhe6wE52Xzm4qJghnI7OJIAiXHU8gyIJXY2uzF6/axYCebfAHND3Iir5XVatvo1GhbaaDhXk5eh24027mVJkfbyAgGy4bASXlvjg9RLWSqAtlVdqaNCKLtpmOmKA6EAjx/akKvj/lASJWg9+fqqDIVYHXG6yT6xPqByXlPj3ohjO6Gdm/k+6uU9nWMjovFZd4RCtCtUjGWxCEy04gmNgjNzXFjKYlrtuuqtW30ahgt5k5UlwWl/l+7pFbue/pDyhYvoOn7++LQTEkbPQj1F+q00qiLpRVnQ/EBN2aFuZQkVsP0qMNm/747j5cbq/eAdNqrfq2qWlhSsp9oqlGQFW6sSeZSHfa0MKJ56XiUx5Ky/0xWhFdCJWRjLcgCJcdkzGxR25ThxWzSU34XnWtvks9/oTuJjZzxAN89MBOBENhvL4gmhbmo11HOFhYiiabo+o91WklURfKqs4/Wz8l5b64zHi0YVNUP6UeP4FAiCJXBceKyyhyVRAIhIAzpQkPL9rMvfPW8/CizaKpBkxVuvH6g0wb3YMTp7xV6iqqFRBdCPFI4C0IwmUnNdnC7HtibQZnjc+meaqNJinx782+p1e1rb4rdyoc2LMVzz/Sn7mTbgZgVu5NtL/aSf6SLUwq2MisF7Zybfvm7Pn39wnLV4T6RXVaSZRFTHR+Iv1Ul+EEyOrYHItJ4eBxN/nPR7ST//wWDh53EwiEEpYmVFUSJdR/EulmxrhszCaV197bx4p3P4+zO50+pgcWs3racSfSyOtUmehCiEVKTQRBuOwoioE2mbE2g5WXY6t7LxHRZitZHZtze592zFn2sV4+UDA1h/wlW+Ky4fOn9KmyfEWoP5xLK+d7fjTDebYjjrsiwMCerbi9Tzs8vlDClZSCvBz9dWWqK4kS6jeVdePzhzhS5OYPb+3my0MuIKKNJnZLjN1ptCxp/pQ+TCrYSLrTxtxf9RZdCDFI4C0IQr3gbJvBmr6XiKiNnMWk8uRLH8cESiEtcWYzHA5jMqrnfwFCnVFbPdTk/GiGM5qd7NUtg/FDr8Pt8TN60DXMemEr8yYnDqJCoTBWi5owcK+uJEqo31S2FfT4gnqDnHSnjZnjs/EHQsxZtj3uc+FwpIykyOXhWHGZ6EKIQQJvQRAaHUFz/mEAACAASURBVFEbOVeZNy5QMhgSe32riqL7g3u9QUo9fkIhDVVVcNjM1W6qExo+lTOcmhampMzH46ftLV98rD9FLk812jFgt5ljAveqSlpEWw2PqlZNiks8CfVgMJxZTVm57itm5mazYPkO0YUASOAtCEIjxWo1YvTElw/s2Hssodf3FwdO0L1TGjaTMaEjyrkcLYSGTzTD6XJ7YywLQ1okoPrgn4cTaucfnx2lb4+rz1nS4vUGRVsNlESrJjazklAPH/zzsH6Oy+0lyWZiYV4OYRBdCPVjc+XatWsZNmwY1157La+//nq15/75z39m0KBBDBw4kLlz56JpUidVU/ynd98LwpVCtKFO5Q1QXds1w2k3M39KH5bmD2D+lD588nkhT7/xKYGgVqUjStSlQGj8nL3Rcs0H+5kxrifrdxzik88Lde0smBrRzktr9xIIanpwlu5MwpmgkYpoq3Hh8WtxenAkm1i/4xAQ3ZDZkz+v/5IwiC4EoJ5kvLt27cozzzzD0qVLqz3v8OHDPPfcc/zlL3+hSZMmTJw4kb/+9a/ceeeddTTS+oE/EMJsqn0tqtmkMuyhtbX+3Nu/G17rzwhCfcBoVEh3Wnly4s0ohkjmcs0H++nzg5a8sHp3THDVq1sGBiAY0pgwvLveVhzO1PGeC+l62Dg4e6Plhp2HsSeZKMjLIRQKEwhqvPX3/WzYGclsVlWze7Z/MyT2fhZtNUxMRoX1Ow7xxvtf6sdG3NKe+VP6EApp+nyz+9/F5A5VcLm9CVdDKrswRamJLkQTDZN6EXh37twZAEWpXjDvv/8+AwcOpGnTpgCMGjWKt956K2HgXVpaSmlpacyxwsLCizTiy4sE0I2PxqzXy02KzcKJEl9M7e3I/p3iNtKNGdyFGc9viWsP/eUhV6SOV62+4UUwqHGgsDRuufjs7ogNnStBq2dvtEx32viPm1rTPDWycnKwsJTd/y4GqrYnTNRyfOb4bHp1y2D73uP6eaKtS8el1mpVOgmGNJ5YesZJac6kmzlZ6our/2+T6UBRDLoLU9zegWp0IZpouNSLwLumHDt2jJYtW+qvW7ZsybFjxxKeu2LFCp577rm6GpogXBCi10tHVRujAP2YAfSgG860h54wvDvL1u4hPzcbx+mNl1XhcnsTLhcvzMshzZl0Sa+xLrkStHox7C0T+XoveHUH8yb35tujpTHBkmjr0nCptVqTucVkVAiH4ZHFm+O8vH87vR9Ou1V3YTo7iK5OF6KJhkudBN4jRozg6NGjCd/btm0bqnrxLbzGjRvHiBEjYo4VFhYyduzYi/67BOFCEb1eWqqyk4seK3JVJFzqbdvCQUFeTo0cBoKhxGUEwUbWoe5K0eqF2ltW1ZBHUQx6yYqqGkRbl5C60Oq55haoen6JenlHXZhqowvRRMOlTgLvNWvWXJTvadGiRUwAf/ToUVq0aJHwXIfDgcPhuCi/VxAuNaLXy0tVzVOsFrXGftFGNbHVnLGaRj8NEdFqzahKU2ZTzTUV5UrR1sWmvmi1Ki1U3hdgtRpr5WAimmi4NKhCoCFDhrBhwwZOnjyJpmm8+eab3HbbbZd7WOftFuITlxFBqBfUtK14dSRyUMnPza51kCU0Di6GpqKItho2F1MLUUQTDZd6UeP9zjvv8Jvf/IbS0lI2btzI0qVLeeWVV+jYsSOLFi0iPT2du+66i1atWjF16lR+9rOfAdCnTx/uuOOOyzz6C9vsKJskBeHyU9s25IkwGhXaZjpYmJdDUAtjVMRl4ErmYmgqimirYXMxtRBFNNFwqReB99ChQxk6dGjC96ZPnx7zesyYMYwZM6YuhiUIwhVEbduQJ8JoVGRjk6BzMTQVRbTVsLmYWogimmiYyKORIAiCIAiCINQB9SLjXVeEQpGa6qp8PJs1T8dmrd7WSRAqc+TIkSrfy8zMxGg8/z+xc+lVEC4WolWhIXEhehWtCnVJIq0awuHwFeM988knnzQ6yyuh/rJx40auvvrq8/686FWoK0SrQkPiQvQqWhXqkkRavaICb6/Xy2effUZaWlpC7/Cov+cbb7xBZmbmZRjh5eFKvW64tNd+oVnEc+n1fKjv/69lfBfO+YyxPmm1Ifw3vljItZ4fF6LX89FqY/7/JNd2aUmk1Suq1MRqtXLTTTed87zMzMwLyv40VK7U64b6ee011ev5UB+vtzIyvgunLsd4KbTaEP4bXyzkWuuOC9Hq5R77pUSure6QzZWCIAiCIAiCUAdI4C0IgiAIgiAIdYAE3oIgCIIgCIJQB6hPPvnkk5d7EPUJi8VCr169sFjOv5VrQ+RKvW648q69vl+vjO/CaQhjrI6GPv7aINfaMGjIYz8Xcm11yxXlaiIIgiAIgiAIlwspNREEQRAEQRCEOuCKCryDwSBHjhwhGAxe7qEIwjkRvQoNBdGq0FAQrQqXmysq8C4sLGTAgAHSKlZoEIhehYaCaFVoKIhWhcvNFRV4C4IgCIIgCMLlQgJvQRAEQRAEQagDJPAWBEEQBEEQhDpAAm9BEARBEARBqAOMl3sAgtDQ0LQwJeU+AkENk1EhNdmCohgu97AEQRAaNDK3CvWJS6VHCbwFoRZoWpiDhaXMe2U7RS4P6U4bs+/pRZtMh9wgBEEQzhOZW4X6xKXUo5SaCEItKCn36X+IAEUuD/Ne2U5Jue8yj0wQBKHhInOrUJ+4lHqUwFsQakEgqOl/iFGKXB4CQe0yjUiojD8QqtPPCYJwcZC5VahPXEo91qtSk6eeeor333+f7777jrfffpvOnTvHnfPss8/y3//936SnpwNwww038MQTT9T1UIUrFJNRId1pi/mDTHfaMBnlGbY+YDapDHtoba0/9/bvhl+C0QiCUFNkbhXqE5dSj/VK0QMGDOCNN97gqquuqva8O++8k7Vr17J27VoJuoU6JTXZwux7epHutAHodV+pyZbLPDJBEISGi8ytQn3iUuqxXmW8b7rppss9BEGoFkUx0CbTwW+n95Od94IgCBcJmVuF+sSl1GO9CrxryrvvvsuWLVtIS0vj/vvvp0ePHnHnlJaWUlpaGnOssLCwroYoNGIUxYDTbr2o3yl6FRoKolXhUnGx51bRqnAhXIp7PTTAwHvMmDFMnjwZk8nE1q1bmTp1Ku+99x5OpzPmvBUrVvDcc89dplEKjZlgUMPl9hIMhTGqkT9M4wXWfYlehYaCaFW4FMi8KjQkLkSvDS7wTktL03/u06cPLVq0YP/+/WRnZ8ecN27cOEaMGBFzrLCwkLFjx9bJOIXGSTCocaCwlILlO3Rvz/zcbNpmOi7oJiF6FRoKolXhYiPzqtCQuFC9NrjA+/jx42RkZACwb98+vvvuO9q1axd3nsPhwOFw1PXwhEaOy+3V/9ggYi9UsHwHC/NySHMmnff3il6FhoJoVbjYyLwqNCQuVK/1KvCeN28e69ato7i4mPHjx9OkSRPeffddJk6cyLRp0+jevTu///3v2bv3/7N35uFR1Vne/9x7a69UJQUhEAVEbERFeAGhaEhAm7Xb1kbHtonDtMQWGBYF0bG1gAGhIUF6cQcbsEW7ncbXcWzG5W0QbRtBG3AbHNxoEUGWhEAllVRqu8v7R6VuUqmK7QJk+32eh+eh9lu5p87v3PM753v2IcsyVquV1atXp2XBBYIziaoZWbU9Vd1opSMSCASC9o3wq4L2xLe11zYVeC9evJjFixdn3L9+/Xrz//fee+/ZPCSBIA2LImXV9rSIznuBQCD4Rgi/KmhPfFt7bVM63gJBW8fncRAo9adpewZK/Wek81lw9hATLwWC1kP4VUF74tvaa5vKeAsEbR2LRaZPDy+r5haj6gYW+fR03wtaFzHxUiBoPYRfFbQnvq29isBbIPiaWCzyt2r4EQgEAkE6wq8K2hPfxl7F5aRAIBAIBAKBQHAWEBlvgSAL8bhKdTiOpukoikye24bNJn4uAoGgcyF8oeDbIOwnk8797QWCLMTjKocq6/jgQBX+AYU4bTLVdXE0PYqiyHidNhwO8dMRCAQdi2hUJRRpDJK8ThtfVNVlDArpXZDT6YOnzkoioRGsi6FpOh6nhfq4nmYvTdfG1Foq7CedzvvNBYIWqA7H+eBAFZf0zScYilAXsWQ4jp75OSL4FggEHYZoVM0aZLtdSsagkPK5xRR04sCps5JIaHxeUUv5xt3cVjKYcNSWYS89fA4sigWHw0J1OJ510Exntx9R4y0QNEPTdPwDCinfuJuuua6sjiMUibfyUQoEAsHpIxTJHiQpKGnPqwxG0DQx2KYzEqyLmTbSvUtOVnupj+l8UVVHNKqiaXrWQTOd3X5E4C0QNENRZAwjOZlK04XjaA2EPrZAcHZpMUjS9bT7CnxOFEUMtumMNLWRFtdGXTeTU4oim1rXKYT9iFITgSCDPLeN6rp40kHIctYJVZ3dcZxphK62QHB2SQVJGb6uiQ9MlRPkuW2teKSC1qKpjbS4NsoyK2cXYbXIuO0WAqX+jHKUzm4/IuMtEDTDZrPgtssESv2crKnPOqHK6+zcjkMgEHQcolEVl03O6uvcdpnyucWsC4ynfG5xp2+M64xEoyqVwXqsFsm0kYpTdVntpeJUHYvW7uRkTRRJkuhdkCPspxmd+9sLBFmIRlXCcd1UNXE7FMrnFKPp2Tu3BQKBoL0SjaqE6uME1uzgF7NGNvo6WcZtl1EUCwU+4e86K82bbmdMHtBgIwYep0L53GI0zUCRJSpO1bFw7ZsAjU2UPlenbqTMhvhrCATNSMlprd+8j/Wb96U9ti4wXgTdAoGgwxCKxM163X8tfzXtsXWB8RTmO1rpyARtgeZNt+s372Pz9gOUzy0mx+0gxw3Hquq4eeW2tNeJXqiWERGEQNAMTdPxOi08tmiCmflBMtAMHUWSOFZVZ2aDbDYrVqvyj99UIBAIWpmk0oRKOKabO3hum0xt1BC9LJ2cphruXqeFcEqfW5Z5cMEYnt95kKe2fAxkBtUt9gcI+8mKqPEWCJrhdVoIJzR0I+lYdMPAbVMI12sEHtnBzPJXCKzZwbFglFg8QUIocAgEgjaKquqcCNYTDkdRNTXdt+kG4YSG26Fkrdf15dhb89AFZ5CUXRyrChMORwlFY+h60i7CMZ2/vX80ba27qqgPUyf1BzKDal+OXdjP10BkvAWCZqgGhOoSGZ3YHxyoyhwEMKeY+niMAp+rlY9aIBAI0lFVnYPHQ6avstvkrL7NnqfwwYEqVs4uwjAMFFnG67KJ3bwOSlO7qAxG+MOySVntYuqk/jy15WPTfq64rBcv7z6UITBgtSqc193TWO+tSPhy7MJ+WkBkvAWCZsTietbBAP4BhWnPS2mWijo2gUDQFgnWRk1fpul6i74tFtf57sBzMIxk2YDXJRrIOzJN7QJaXvOuuKyXeVvTdQwDyucWZ53cbLUqFPhcFOa7KfC5RND9JYhflkDQgFnjpuuUzynGZZe5YckWIOl4DCM9wE5pliLK2AQCQRugaZ1uqg/lV/NHc+M9W1Fk+UuGnhgU5rtb6agFZ4um9lE+pxi3XSauG0RjWla7SK15Tdc6sbv77RGBt0BApmRSaqvtj8snccOSLS0OknDZZew2a2sfvkAg6ITEYio19Y0NcceC0QwfVuhz8LvFE5BlQBJNcB2daFQlklBJJJINtBZFxudxoKp61jWu0Ocg0UJzpCRJYq07A4hSE4GATMmk+xaMweuyURtReWzRBB5suG0OAphTTKHPQURNKgMIBALB2SQWUzl8og6HTUaRZUIRFa/Lxn0LxgCN5QLhmI7DJqNpmJnO1bcUAaIJrqMRjaoEw1GqqiME1uzA7bRgGHCiup5QJE6Bz5FRThKO6bhbGJ5ktynmWlef0DJ2fQXfDJHxFnR6khJbjVuwTy2fRGULmaPAIzsysgK/mj8Gn0do3QoEgrNHTX0qkMr0VU8tn8TUJVvM2tyKYDzjOf+xfBLhqIbTroh63A5CKBJHVQ1WPbGH+xaM+VLbgMba7WPBOIU+hzkYR1Ek/vb+0bQ5FgU+Z3IgjhiG860RqTpBp0ZVdUKRuFlGAhCNJRtNJvh7s37heFbMGkWO04pqwAR/77TXVwYjJFS9NQ5dIBB0QlRVpzYcBSPpq1JqJOsC41g5u4gPDlQRjSV9UqpELlvjXCSmM6NsG/VRlWhUbc2vJPgGJBIaJ2sihMJRKk/Vc6yqDgzw5VhZObuIcEQlx2k116zUeU/ZBqTbRzimc/PKl1n86E5C4TgOW/rFmBiIc/oQly6CTktKUsntsOBxWgiU+infuBtN15ng782wS3qwaO3OtGzB90f1MYcIQNJxWS3i+lUgEJx5EgmNulick9Uxyjfu5lfzR3NJ3/wMP2W1Ntbmuu1yCw2Vuhl4hSJxoWLSxtF1g5pwjISqY7fJ1NTFcTksVAZjaePcL+mbn5HlBnhqy8fmeQfSareb3t9UKrcpohfg9CEiBkGnJVgbZdPWj1Bkmfn3badHw1abIstccVkvyjfu5raSwTy2aAIrZo3C67JhkUirg1v8sxHkukV9ZEvExXAhgeAbE42qVAbrqQ1HCYWjhMIxEnGD8o27eXDBGBIJA7fDQvmcYspmjzSDpkTCoHxOMT18DsIx3fRZKVIBd6DUz3ufVIhMZhtH1w0+Px7ikWfeI5HQqI9oOGwWdI203YzvXdYTr8vGilmjeGzRBG4rGUz5xt2MHZ7MeqfO+7rAONM+mooHpGh6YZZ6XaDUT57blnlwgq+NuMQVdFoM4Ppx/amLxAiU+pl/33ZWzBqF22khHFG5rWQwToeNwJodadmDBxeMoTaqYbcp5LrtyLLIArSEzapw9R2bv/brnv/15DNwNAJB2yYeV6kON8gBKjKKAier6yno6qKmNs7Kx3ezYtYoHlwwJquCSdnskSxc+yaabnDkRC2btn7CzT+6xNzNa67I9N4nQZ7etp/B/bu39lcXkHn+89w2bDYLNeEYT/35Q6ZM6M+SdW+a53HFrFFm0F02eyQVWWzitpLBaJpu9i657TLHstT8V5yqM4/DLEGZU4ympx+L4Nsj/ookSw6CtVFUzcCiSPg8DiyifKBDo+sGiizhdVvRDXA4ZHNrbcF92ymfW0z3Ljlm0A3pW3CyLImGSoFAcNqIx1WOB+upPFWPw2YhGlcp6OLi3IIcEgmdLypqKZ+b9FHhWPaBJ+Vzihtk4GDts3tZWOonz2PHZpEaG+dkiZM19Wams/kUQkHrEI+rHKrMlPvrmZ88/zddfSlLfvsGE/y9ueKyXuaE0ZQM4JetV7phEI3pFPgcHA9GmzRSJvXe7XaZ2+/bDTRmt9/7pIKnt+03j0EE3aePTv+XbD46NWV0fXp4RfDdAWmqe6vIMseq6li6fhcFPifzpgxBloxkjaRFanGoQLIWTmS5BQLB6SEaVQnHElTXxlj77F5zLVpY6kcBDIvMOQUe1j23lznX/x9iX+KbAqV+Xnv7MJXBCGUbd1M2p2GMtxVCNQl65ueABOsC41EUCa9TTKlsC1SHG7PQvw2MxSIrIBkcqaqjbONuFtwwNKP3aNmMEWm9SS3ZxF/f+YLLh/Zk6pKXKfA5KZtTjMMmE0uAphlIkDbu3WGTcTsKGNy/u7CPM0Cn/2s2H52aukpcNbeYbmJCU4cipXvb/CLrD8smIUmQUA1ULTkWN6GmZxNSiGmVAoHgdBKNqgTrosiyxAOb3jX9jc/jIFgbxeWwosgSsmQw9/rB2GRQWxh4osgyVotkNoBXBiPohpGsq0tI5qhvEUi1PVKStr8NjKU+qlG+8U2mTx7Ihs3vUxmMUFuf4IrLerFo7U58Hgd3TL2sYTdDZvWto9E0o0WbeHn3IcYOa1Q3MQyDWFw3M94KgAHd8pxmwtErBpmeMTp9SlfVjKxXiaoumk06GjX18awXWbGEjmYYaJqBrhvIkoTbltx+yzZUwG2XxcAJgUDwrdF1gyMn61j86BvoOqZv+o/lkwjcNIze3b0ko2bI9dixyXAsGG1x4InbLuNsMl2wwOdEkZJZgi5ehwi42zBKw8WURVbMdcrjspo2MaivD1mS+M1tY5h93SCqgvVYZJmEqqNpBu4W1quTNfWmbaTu/+xoiJtXvszM8lcIrNlBOKaj6YbY5T9LdPpfoUWRsl4lWkTDXIej6ZCcFJXBCHarzInq7ANzejQbKuC0ydhsVjFwQiAQfCOaN9CVPZ70O9G4SoHPyX0LxqAbEAxlNsB1y3PwwYEqFmzex6blk9LqdN12mZIlW1gXGAdgls8hJX2XCKraNl6njUCpP61kpLY+wZ1Th3JZ/24cC0b54EAVwy/pwZHKWs4p8GQ0/qcNwZElnHaZSEzHbZfZeyBoli+tfXav+bmpchQxgfns0ekDb5/HkbXjWzTOdTyUFrZnY3Gd7e8cZun0kSgyaDps232Qq4ovoKomQhevA0WWCDyyg1Vzi/G4RdAtEAi+PvG4ysnaKDarAoaMIpOmHLH61mJzwElLzZPfvfQc1m/eRzimpzXTQWNpwW/vHkcsofHUnz9k5jWD8LpE82RbJhpVqamP0cPnoL5B/nGCvzeX9vVRH9MIRVTsVoXiwedy/GQ9F/Xp2mIjZTabKJ9TTEGXpArKsao6Pj4UTHtckWXRYHsW6fSBt8Ui06eHl1Vzi1F1A4ssVE06KrkuW8ZF1n0LxqDpMGZoL5ZteDPt4stqlcn12DAMA80wxAWZQCD4yjRXy8rLsZNIqHgdFjRAliRO1mTfaQtF1C9p7Ibf3DaaA0eCWZNGTrvMm+83KlJ4XaI5rq2Rsg2XTSYc17FbZSQkaiMqiizzm9uSux7Z5AEtFulLGylbsgmw4bbLhHMcZgLKVLURNnJWEX9pksG3aKTsuKQmfum6gS/HxopZRcgy5NgVjgWj2K1K1uzSPTNGEktoFPgcRGM6Po9dXJAJBIJ/SHO1rGsv78uUcf3QgISmEwzFW/Q75XOLv7Sx28Ag1+3g9vtfZ9mMEWmlBVabhAwM/I5QpGirpGzDl2vjWDDK0YaykebBco7TmtU+ls8c9aX2EaqLppUgWW0Sqm5w88qkosmDC8akKZgIGzn7iChC0KFpOvHrWFWYnz+8g5nl21i4ZqephStLZM0eyFJyuzcaT9bIieluAoHgq9BULat/bx+XX9aLcEwnGtPRVL7U72iazkcHT2ZtlFMsycA9JQfYs7u3oWku6ZucFitut4PCfDcFPpcIqNoY0ajKqdooXXPtaImkHVzUp2vWANswsgs/yDJ8URnKah86Bv+x5RM03aCp9NaN92w1n2OzWSnwuYSNtCJt6i9+7733smXLFo4cOcLzzz/PhRdemPEcTdNYsWIFr7/+OpIkMXPmTK6//vpWOFpBe6AmHGPF73Zxx9TL+PVTb1MZjPDwnVfgtFmx2xqH5mTLHmh6aiE0iBuG2RUuEAgE2dB1g7pIDMOAFbOSmclUg1sqA5kqE9D07H5HkiSG9O9GJK6b7+G2y6jA/9t5kJd3H6J8TjEOuwxIhCIqipJUWhJN322L1G5rQtWTOxIWCQyIxjQUWWbK+H4tlo20lNW2KDI9C7xouk75nOJk+UhMNwfezL5uULInac0Oym8pIpFo1GwXNtI2aFOB97hx47jxxhuZOnVqi895/vnnOXToEFu3bqW6upprrrmGkSNH0rNnz7N4pIL2gqbr3HtLMQlVN4PuhGrw+dGT5vbeoO/kc/e04ax6Yo+51Xf3tOE899r+5PadIqFIEna7aD4RCATZ0XWDUH2MqiYKSXdOHZpRRpCaLvnca/sz/E6g1I9syV7b63VbTX1uwzA4WROn0OfAmSNkAtsiqd3W9/9+Av+AQpw2Oet5banp32qVs9qHqussXvtGej+SReKhZ5JKJefk5+CyJ5NKXocoI2mLtKkzMmzYsH/4nJdeeonrr78eWZbp0qUL48eP589//jPTp09Pe14oFCIUCqXdd/z48dN6vIK2TTSqEqqLs/Lx3SydPpICn5Mcp43PjtYw4IJ8Pjtaw4IbhlJbn+DtDytYObsIwzBQNYP/+st+9v69Kql/apOxWi1ntL5b2KugvSBsNTvhSIxYXKN84258HgfTJw/kgnNzCazZYd72uKxEYipLZ3yXZev/BsA9M0ZiUSQkScJuU0gkWh4HD41ZcV+ujXBMBykugqsWaE1brQnHeP/vJ7ikbz6L1u6kfG5x1vN634IxBEr9bNr6EeOGn0dujg2fx85nR6op7JZD2ZwiVFVH08HjtvJvD2z/B7YB8+/bTvmcYkIRYRttkXZ3Ro4dO8Y555xj3i4sLMz6Q3riiSd4+OGHz+ahCdoYoUgy6K4MRognVALThlNdG+PPbx7khokXpY1mnjdlCL/6w9v8+81+YnGdn4y/kBsmXoTdLlMf1+nmPrM/FWGvgvaCsNV0olGVUCSpyw1JidqfXnkxDz79LitmjUq7nfI3i27ys/rW0cQTyRKE9z6p4KFn9rIuMB7IXtur6brpq9b9aS8lEy8iEo2TnydGDLZEa9pqQtXxDyjk6InahnOtZT2v4YhKVTDMDRMvoqxJNnxhqR+vw0LJki3m89cFxv1D23jsv/+XQKmfilN1wjbaKO0u8P6qTJs2jWuvvTbtvuPHj39pGYug46DrBoZhmBnt+piKhMT9m95h+uSB/HHrR9z6k8Hk5yVr5mQJ7viXy1C1ZPc3JOviYrHkVMszjbBXQXtB2GqSREIjWBdD03QkSeL9v59gUL8Cbv/nofz7b9/A53GgyDILbhgCSKyYXYSuG5ysifAfW5LZTY/LSmDNTiClSiEB2Ye6KbLMvbcUoxsGM68ZRMWpOu7f9B7lc4tb5w/QDmhNW3XaZCJxncL8nKSCSJaa7REDuqPIMr165KLIEmVziojFdZ57bT9lDZnspq/5MjWT8jnFIAnbaA+0u8C7sLCQo0ePMmjQICAzA57C6/Xi9Xq/9vs3zV4oiiykdtohqdq6Fb/bYiY2iAAAIABJREFUZWYPHlgwhrpoMuPQLc/BNZd/h/v++I75+PySITjsClaLQv/ePoK1UWQZ3A0Z7zPNN7VXgeBs05ltNaW/bLHIaRrcIwZ0p2TiRSxau5MFNww1s9xNJwvOmzKE51//lB+NuYDrx1+IRZHxOG2sC4xrbKA0QJHIqsXststowIL7tqfdnyuG47RIa9lqIqGl1XP/ev4YDh6tTjuvKZvJZiNTJvQHQG+YH5F6TUxNtGgbx7LUjwvbaJu0u4jy+9//Ps888wwTJ06kurqabdu28dRTT52W945GVb6oqssw3p75OSL4bkeklExSWYHyuUUcb9DrLvA5sVktlDc0rEByq+6BTe8y+7rkxVzJxAuxWRUsikwoqtItt2NpvMcTWnJy3hl+jUDQkWiqzb1ydlFave644eeZt2vrE5RMvNAsLYGkj3nw6XeZPnmg6Wt6dfew7k972bWvwlxrChomFxb6HI1ay7KE2y6jKBZ0TW3U7VYkcl027HaxNrU1gnWxNPtw2Cw8vW0/U8b3S9PYbj59MmUjq57Ywz0zRmIYBt2a2UIXt5xhG+G4Ts/8nDR9bmEbbZc2dVZWrFjB1q1bqaqq4qabbiIvL48XX3yRGTNmMG/ePAYOHMjkyZP5n//5HyZOnAjA3Llz6dWr12n5/FAk3uJAAxF4tx9SCiYmhkSoLkrP7l7mTRlCNJ59KpzDljzHeTl2dAxsFgmLcmabKlsDm1Xh6js2f63XPP/ryWfoaASC9kFTbe6UxvKi0mH0PdeXJgn37Kv7ue2GIVl9jMdlNX2NYcCNVw7A47Kxbc9hs0nOapX5+HA153TzoMgSDruM252cmOvAgkeU7bZJUtKBABiwfOZIclxWYnEdJIN5U4bw4NPv8tAzeynwOVk2c+SX2ohFkXjsv/+XmdcMwmqVwdBx2GXm3bedQKmftz44npSWnFtMQcMAQBGntA/a1FlavHgxixcvzrh//fr15v8VRWHZsmVn5PM1rYUxrGJwSrvCIjfWSE6d1B+nXcab4+DQ8RB/fvMgN145IGudXDSuAmCzupAUeODp9/jnSRfjcdmRZamFTxMIBJ0BVWtserTbFP6wfBInglECa3YwffJA06d8fChIVXUkq4+prU+YvuazoyE2bH6fu6cNB2DbnsPJkd8P7EjKCirgtsqEIhpeEWy3aVLljX956xCjh/Rk1RN7mDF5APk+N+UbdzN98kBe2fO5qWxTW58gGIp9qY0osozHZUPTDV5986AZZK+cXcRrbx82pSVFfNL+6FipvG+IrhsEa6OAxNLpI+jf22c+ltJxFrQPEgmNumiC+SVDmDF5AMMu6UGkYULlpq2fcPXoC3jypX0suGFo2tSv+SVD8ObY6N7FxfFTYe7d+Ba79lWw8vFdjVkMgUDQabEoEiMGdOfXt41G1XViMR23w8LK2UXUhqPMmzLE9Ckv7DiQMVlw3pQhvLLnc+aXDMHjtvHsq/upDEZY9cQerr2iX2OT3NxiuuU5qAvHCcd0sf60A4K1UVb8bhfj/X1M3e2Lz+9KjtPKilmj6Huul9KrB7Bh8/sE1uxkw+b3sdtl7ph6WVYbuXvacF7Y8Sn/9L1+KLLEy7sPESj147DJzCjbZgbdIj5pn7SpjHdrkK0Rb37JEJ588UOCtdHk4AKnaFBoL4Tq4yRUjXO75dCji5vAmh2smDWKymCEymCE37/0IdeN7UdBFycrZxeZTbQNYgLYrQpzVv/FfL/KYISEeuabKwUCQdslGlWRFbj5R5fisCucrIll9AId+CLI9MkD6VPoAcDrtDB98kC6+Zx4XFYMA2ZcM5CKU/Wsf+5/+fhQEGiYUqhIycDKLjO1mXxcfq6zVb6z4KsRjapE4xoT/L2xWiRzp/VEdWaz479PH4HdkuyVMTCorU8w+7pB9CxI2owkJcuPnnttP9v2HOYHo87H3TAM571PKnA7Cswseeo9fTn21vz6gm9Apw+8mzfipRrtyuYUI0kIVZN2hK4bxFUNw5D4+UOvmwF3Uwmmjw8FKdu4m/ULx7No7c6Mbb7UIIKm91k7WI23QCD46qiqTjiWIBiKU/5EZmNlqhdo5eyi5KCUOcXJcd1zitmw+X2mTx5oPv+RO8fywKZ3M/yO1SJjtVnTgu5kNlMWI77bMPF4UgVNNzQuv6wnloa15orLeqWtL01tRJYk0z5WP/mmaRfLNryZKROoyKaOd4HPyeD+3dMaKMUI+PZJp48oMhrxSP5IJAkKfC4RdLcjasIxVNUwFzlJStZ6HzgSJFDqZ8bkAaxfOJ51gXHIksQEf++01ycHERhpW3+LbvKT6xYZBYGgsxIKxzAMgw8+qzKn266cXcTUSf3N56QaLgOlfg4cCZq+5Oc3DqNXQY65xqTGxDf1MYFSPy6bTKg2kXG/kINru8TjKseD9RiGQY7TjsdhwQBWzBrV4vpiGEYT+9D/oV288PqnabdzXTYKfC4K890U+Fwi6G6ndPqo0mrJLkjfNMuZ6lZOqDpWi0yuWzTbtUUSqo4sYZ7L194+bI7ivXXKYC7pm08wFKFrrgtN1xk7rDdjhp7Lv5a/CjTWy5XPLaauPk6O00YXr0Oca4ScoKBzkkhoSAoohmSO/q4MRlh9SxFjh/Xm8qE9UWSZkzX1KLJMVTDMyo1vmb5ElmSCtY1NdNv2HAYax8TLssSRylq8bhsFTWXjhBxcm6c2kkgqZJ2q58LeeRzPoqM9Zui5WGTFlA902eVG+2iyE5vNLnLsCleNvoAfjOor7KGD0enPYq7bzuKfjUir8V78sxENAVw9LptMfUxH05PTyV5/9wsGfqcb5/XwioCsDaHrBhIgyckG2U1bPwHA67Jx848uJRbTSSRUrFZL2sCCQKmfstkjuX/TewRK/by655DZuLIuML7DSQl+U76JBCEIGUJB+yI1IEfV9KSWv0XiZHUMr8tmBlVls0dm9SMamhlUpbLY617+iOvHX8j8kiFmicnev1dx1ei+OOw2ZFnCm+MwSwaEekn7wcAgGtM4eqKO3t29GeVHiYRKPVC+8c00O1l9SxFWq4VIPJHVLpwOG9t2HTJVTArzhVF0NDp94C3LEuf18PKr+WNIqDoWRaY+muD2+7czwd+bYZf0yLiKff/vJ8jz2PF5HK19+ALSG2QHfSeff/peP+6YOhRZlvjo4En6nJMHFp2uua6MgQUp7dzyOcXYbbLoFhcIOimpATnb3znMxO/2IZ7Q0DSZ7e8km9xSfqN7l5wW/cjGJRPQNLDaJA5Vhhk3/DxWP/kWPo/DlJKLxlXCkQS3/eavrAuMp2d+jigZaEc0vTjrluekm8+ZVjaSosX1Zm4xqqbxr+Wv0r+3j9nXDaJ7FzcVp8KmXaQQUoEdE5HOIxl8+zwOCnwuJAmWrkteoV5xWa+sTTT+AYVC6aINkWqQHfSdfK4sOp971r/JzPJX+PjgKc4p8LBsQ/J2NueYqrW7eeXL1EeTOt6iW1wg6HyEo3G6eO2MGdqLpeuSPiOwZgdjhvZCUZJlAeOH9/pSP3IqFOOPWz/iSEWYmro4uTm2tKbuwJqdLNuwC7mh/8SiSKKPqB2Ruji7+5EdzCx/hcWPvkE4opr20ZQW7URLxg7jh/fi40NBlm3YRU1dzLSLFCn7EHQ8xC++GU2bLVPTyZqSapCwWkSGoq2QOmfXXtHP7AwfP7wX/ft0YeGaxs5ym1Vh6fQROGwWausTPPvqfoK1UbPWTlFk1gXGi25xgaAToesG4UiME9VR7FYlLdlyW8lgCn0OoqpB2ZwidB0UOannvWtfhfkeqZrdVU/sYen0kVQGw7yy53NKr7q0xWFdgVK/2DVtZzSdXgqNybgHF4xJKmJJBhgSqpas6W7JTmIJjWuv6Me2PYczBiulnifso+MiAu9mNG22TKliZEj8yLJQumhDpCZVKnJjY+W1V/RDbQjIU2Od4wmN3t29OO0yJ6oj3PjDi8nz2KmLxAiU+kloGg6rha5CN1cg6PA0LRlQ5GRJyaTv9qEyGOE3t42mRxcXkZhOqCGjeaSylqXrd5lBEcCufRXm7YpTdaYmd0EXF9ePu5Ctf/uMu24czr1P7jHLFReW+vF57HjddtFD0s5ITS/9zW2jyXU7kk2TSuM51DQDRZY4dLyG9Zv3tWgnXbxOkBqH5jz/+qcsLPXjzbEle4uU5C68sI+OiQi8m9G02TKlitG8xtthl9F1QzRXtgFUVacummBhqR/dgBmTBzBy0DnouoGuw9qfj0XHyGiE6prnAKK47BZUi4LTrlATjuPNFfJdAkFHJ1Uy0NS33z1tOFarwgO3j6FrnpO6iEqwNkZNXZxX9nxOycSLWFQ6jJUb3zJrum/+UaNaxQ1L/moqYjktCppucPXoCzAwKJ9bzKlQlLr6OHkeO13ExX27RFEkHrh9DLohmWvKshkjyPe5qDxVj8NmIRpXOafAw4zJAzLspOJUHfdveo97ZoxM7q7MLQYMZl47iIqTdZRt3M2v5o8Rme4Ojgi8s2C1yMy+bhAFPifeHDvlc4rRdANZhr+8ddgc39qnh1dckbYywdooy9b/jdW3jsZukRjcv4BjVWGzUzw1idTncZjTK1POMMdpJ6EahKMJbDaFglyhiyoQdAaylQysemIP5XOKyc1xUBWMUtYkKJ83ZQibtn7EzGsGmc+PJTSeeHEfUyb0B8luBu+arlMXSgAShytCeHMcvPXBcXPd8Apt7naJ2iAnnOO0pzVNnleYy5ETdax9dm/amtOvdxez9r/pBdzd04ZjsUjY7TInqyPURVRzUvbin40Qu+mdABE1NqMmHGPpujfZ+T9HiSV07rh/OzevfJnFj+6ktj7BhBG9KZ9TjCwZBGujrX24nR5VM8zsQH1cp/JUfdpkuNQk0uvG9jNfk3KGmq5jUSS65jowdINwLNEq30EgEJxdUiUDTakMRjAwUDXdDLpT9z/49LuMG34emp5sjCvwOak4FeaGiReR67Ehy7B0+khe2vkZi9e+QY7TTo7LRs/uXrrlObh8aC/K5xZzXnePuLhvh6R2SB555r2MpklV07OuOapmsOauKzhyoo67Ht7Bhs3vc8PEiyjwOfl/Oz8jFtNxOqycX+jh5zcO41fzxwiZ4k6CyHg3I1ujHjQ2UZTNKeJwRS0FXVw4beK6pbWxW2VunjyAilNh8nIcOGyWrAuqx2U1b6fq9O02GYsEGmCVJcIxoVQjEHQkGuu4DbNuVtOSF9wjBnRn3PDz8Lis1NYnuKC3FzSpRTWK3BwbiiyzfuF4VF3n/v94l2BtlFVzi7npFy+nPV/TdRx2i5kUyM05a19ZcAZI7ZDc+pPBKLLMukVjUUgOxtF1stqLrhvYbRbO6eY27ytriCGe++sBfjDqfFTNIBrXKfC5WuNrCVoJEXg3I9Vc2bRRL0VlMIKq6qx9di/zS4bgdlgR/rT10HUDTTd49tX9TJ88kC8qa+nV3ZPWEPvU8klEGwYgPbZoAg67TGUwyheVyS3gbnkOLBKcqI1ht4qfg0DQUchWxx0o9dM114HLJlMy8SLzsXWLxhKqTZgKFY8tmmBOG3TYZRbctx2fx86BI0GzaW7YxQU8teVj1GZay6IBv+Mhy7BiVhGGYeCyyxwPxs3BOGt/PjZtnUnZTKguQTiq0S2vsV47FZCnbETXNVRdaHV3NkTKthmp5krdIEOXs8DnRNMbt5IkWeJEsJ5jVWFOBOtRhbb3WaUuEsPA4PrxFyJJkOOyYVFk5pcMocDn5Knlk6gMRgms2WFq8lYGoxT6HCxdv4vyjbuJxXXm3bcdp82CTdTrCwQdhuZ13D6PA6/bRiyuEY7p5mPjh/dCQSGe0HhwwRiOZfEZDy4YQ1V1PSs3vmXufl5xWS9Tazm1VqSCe7ddFiUDHYTkrkmcIydqOVpVR30T2wHIy7FmXWdyc6zmGtO/tw9I2ocsS5TfUsRHB0+iG0lVLkHn4oxHGqqqEggEzvTHnDZSkyxzc6wESv1pDvXuacN57rX9AAz6Tj6naqINQvrbuPuRHRw8HhLB91kkGk9mF2RJYuGandz54OvEExpPvvght/5kMNFmDjK1YKZKSpK13gZTxvdD1w3RSS4QdCCa1nH37+1j9o8HEXhkBzPKtlFVEzGD7iuLziewZgd3PbwjLSCHdJ+xcO2b5nun5jksusnPK3sOsXT6SB69ayz3zBhJ11wHcbEMdBhSF3AOm4VNWz9JK0Xq39uXEYinbCYS08015qdXXsyIAd0JlPrZ9b/HwJAo7JaDxSKJdacTcsb31nVd509/+hPl5eVn+qNOG7Is4XU7cNltrJpbjKolG27+6y/72bbnMAD/9L1+3LM+swZ81dxiuol6rTOOrhtAUjJw1RN7mODvzQ+K+hCL6dwxdSiKLH/phDloHAs/+MLuICEyVAJBByKVia4MRrhubD/2fVrFytnJcgG308JjiyZgYKQN2fpHPiNFqlTAm2PjqS0f89SWj83H1gXGpWk7C9o3qpa0CVXTzYFrMyYPwD+gEIsipQ3dS5GymdQa8/zrnzJ98kA2bH6fG68cgKYZdM1zkGO3CmW0TshpCbxvvPHGFh/T9fZ76W+xyHTzudB1g4PHQuz9exXQOMo1aw24qNc6o8RiKjX1cbSGoReqbjDB35sJ3+3NiWDj1vK9txSTn+tscQBSaku4PpbAblHIF7q6AkGHwudxmHMY+hTm0M3nZNHanUwZ34++PX2Ub9zNghuGpvmHlG9oyWc0rRV/9a1DXD60Z9pnpp7ryxH13R2F1ARKp8PC/JIh2O0yl/TN55PPT3FBLx9WpWWbCZT6+dv7Rxk3/DwMIzlI56arL0WRJdw2Kzab6CvqjJyWs753715mzpxJt27dMh5TVZW33377dHxMqyHLEn0Kvfxq/hgSDVqeqqpn/bGJeq0zRyymcvhEHeUbd+PzOCiZeCG9unuY+N3zUFUDp01h6fSRPPfafmrq4vQscGcdgOS2y5TPKSauaWx8fh8zrx0kJL4Egg6GxSKTn+tgxewiFEkym+EGX9jd1GG22WTW/HwssgSaDi673KLPSGXLFVnm1bcO8fLuQ4wd1jsjIPe6bMKfdCBsVpmbf3Qpix99gxmTBxCL6+YsiEMVIS7sndeizbz61nGe2vIx995SjCw3Ju28Lht2uwi6Oyun5cxfdNFF9O3bl+9///sZj8XjcZYtW3Y6PqZVkeX0WixV1bP+2ES91pmjpj5O+cbdDPpOPj8YdT4fHTzJxb3zONYk052qxX/7wwpcDgvnn+NpGICUzJC77TLHglF0Q+f/vvwJJRMvIs8tBloIBB2NaFRF0w0i0QROuyWjnGT88F5IyGbJYMp3nNPFSfncYnNXzWGXKVmyhQKfkxWzRrH6928RrI0SKPVz4EiwMSBXkpluEXR3LKwyxCSJCf7e5PvcaJpulpJs2voJc3/yfyj0OTLWmQ3Pf8C2PYcp8DnJdduxKMmLulyXHYdDBN2dmdNy9qdNm0Zubm72D7BY2lV991fFYpHp08ObrAHXDSwNgbmo1zozxGIqGLBi1igUWeaLyhBjL+uZtRlq1RN7WDp9JE++tI+Z1wyiqiZC11wHdptMOKbTNddBNKYx89pBOGyy2O4TCDoY0ajKF1V1VNdGWfvsXlbOLjIz06mykWyzGlLTK9f9aS9Xj76AB59unIC7sNSP12nhjqlDkWWJF3cc4Lm/HqDA52Txz0ZwXg+36BPpYESjKseCUSJRlSsu68WitTtNW1JkmWBtFKsiM+++7Rm730unj2Tv36sITPMjK2CzSPTMzxFBt+D0BN4/+MEPANizZw/Dhw9Pe0yWZaxWa7aXtXtSNeCCM0vTEpPKYIQZkwfw3UvPoT6mo7bQDKUoEiUTL+K9Typ46Jm9PPRv30NCQtMN3DLEpOTwHa39tiAIBIIm6LpBTThGokFZatPWj5j2w0saxrur5g7le59UECj1tzirIaHp7NpXQXVtnOmTB5KbYyM/14ndLqMasPjRN1g647v8aMwFXDX6AqyWpGa3CLo7HqFInG4+B6qmE48n15rX3j5MoNTPRwdPEij1I5HdjqwWidnXDcLntfP5sRp69/DicYugW3Ca5QTnzZvHL3/5SxKJ5OjtUCjEbbfdxkMPPXQ6P0bQyUiVmFQGI0yd1J/B/Qs4VBFq2NZr1NBNUeBzYlVkDnwR5KFn9lLgc+K0K0gSOOwKx4JRnHYFi4QYciEQdAB03eDz4yH+7YHt3LziZQKP7KBk4kVYLUry92+z8sGBpKrJwO90o8DnMB9rSoHPidYwEOfjQ0HKNu7mrod3oDUM61I1g/I5xbidFvJyHBT4XPg8DhF0d1DcNhldNwiG4uZOyVNbPuatD45z4Xld6JbXsh0lVINlG3YRjaksXb+LhCaEFwRJTmvg/ac//YmPPvqIH//4xzzzzDNcffXVeL1ennvuudP5MW2aWEylMljPsao6KoP1yRIJwbciVVMHMM7fm+raGGuf3Ysiy9RF4gSmpeutB0r9vLDjUzPoDkzzU3Gqnt8+t5eTNVFCdVFiCZ1wXBcLpkDQAagJx1jxu10Z8q6nQhEWlvpBMujmc1NVHSGmalTXxamPJ7h72vAM37Ft98G09041xJX9bg/xhI4kQa5LlBV2dKJRlXAsORK+ujaKvaHxNhV8L1q7kxPVUU7W1Lc48yM1dE8ILwiaclr3Pbp3784jjzzC9ddfz5IlS/jxj3/M8uXLT+dHtGmal0SkHHmvbjmig/lboDTINU3w98bQ4YFNybrLmnAUu82Cx2XjnhkjTWWCN/YeYVC/bvxgVF+OnKjl0f/aS7A2yrwpQ9i09SNmXjMITTPo4hHZboGgI9CSlrLP48DttHAiGGXD5vepDEZYv3A8i9buxOdxMPOfLqVsThG6nmyOfHXPIYZd0oOde4+ZPnx+yRBkWSLPY0ORJVFe2EkIReIgGVTXxs0+gU1bP2L65IF4XFZq6xPm7Zd2HjCbK1XN4L/+sj9Z313q5+DRaiG8IEjjtEaDH374IXfeeSe9e/fm9ttvp6ysjDvuuIOlS5fi9XpP50e1Ck1rCLPV9TUtiYDGrEv53GIKROD9jXHbZMpvKSJUlyCmqjywYAz1Md3sILfJMGf1qxmvWxcYx7INu8zbDz79LtMnD0y+TpHFxZBA0AGIx1UkSJN3/W1gLBZZQdN1ojEdm61x7oJhJCdaVgYj3HH/6+b7rAuMY9Sgc3lj7xHK5hSjajqHjtfy5IsfclvJEG7+0aXYrCLL3RlQVd1UtSlrWNMNw2DXvgp+euXFOG1WuubqzLxmEG67zHh/HzRdx6LI2O0SPxl/If4BhWaix2aVxQ6JwOS0WkJpaSnTpk1jzZo1fO9732Pz5s3Y7Xauvvrq0/kxrULzGsJ/e2A7nx8PNUxQTNK0JCJFZTBi1gwKvh66bhCsjVIX00GX2P7OYfLcNo4HowTW7GBm+SsE1uzgWDDKmruuSHttgc+JJKVv7VUGI+Tm2FBkGbtYQAWCdksioZklfdV1caxWmfklQyjwOXls8Xjqo1qaj4jFDR6+8woAJCl7X4gkSSzb8CaXXdwdSYJZq16hbONugrVRqmqSfj3HKaRHOwOpCZV6w0UaJO1mzV1XkFCNjPVHknVmlr/C3Y/s4FRNDLfTQtnG3ezaV4Gq6UTiWit/I0Fb4rRGH//5n//J9ddfb952uVyUlZWxZMmS0/kxrUK2GsIVv9tFdV2MYG2UymC9WRLRlNTIWMHXQ1X1hoU1jKols9sTv9uHSBb5wO3vHMZusfLoXWN55M6xXHt5XwKlfnbvO5b2ngU+Jz6PHZddxu0QC6hA0J6IRpP9M8HaCJ9X1BJ4pDH4qaqOkp/nYPWtowHJ1Pt/5M6xLJ85ErtVwdvQSJ1SpWhe2/3a24dNSUG1Qe6owOdk0U1+XthxAKtFZC07C6qmoyikNe+/9nZynUmtP+OH92Lp9JE4bQp2i5Xxw3uZu9zRWKP9aA1ywwJBitO6196rV6+s948bN+50fkyr0FINYTSm8u+/fQOfx8FtJUNY/q+jOFZVx6atn5hDFnJdIsj7Oui6waGKECsfb6yVL59TjIFuDr9IMX54L0YP6WVOokstopFonPMKc9Omyi0s9aPqGnHNQo5YQAWCdkNKl7t8425Wzi4yp9em6m1ddgsWRQIMwOCuacOQJdnU6U75hfHDe/Hy7kOMHnquWdstSRKvvX2Yp7Z8DCT9uoTEusB4FEXCbZOTg7ZyRI1uZ0DXDWRZQtNAUSTmlwzhgU3v8taHlXxvWC8W3DAUm01GIt2+7p6WlFLetucwmq433OfHYpFEfbcgDVHk+hWxWuSsI+KPVtXh8zj46ZUXs7TJBLSFpX7yPHZyHFZRS/w1qa6LmUF3/94+rhvbDw0dp91CIqGnnYfrx13Iv//2jYy6+mUzR3L/H981dXhznDaefGkfN145wMxmCQSC9kEo0tg/YxiG6XNTA25S2v4gURuO47RZzYmUkN5vc8NEqAlHuf3+13nkzrEs2/BGhl9XZAndMHjh9U+5avQF9OnhFdnuTkJNOMaLOw4wZVw/QhGVJ1/8kPklQ3DarSxcs5PKYIQ1Px+bYV+pwW17/16FIsuUzy3GapGRQNiOIA1hDV+RXLedxT8bkbY9ufAmP5u2fsJ1Y/uZCwAkf4RlG3ejNVw5C746um4Qjalm0D3j2kuxWiQScY2TNVFiasLcJu7f24ckNQ4veGzxeB5bNIEVs0ZhsygESoexYfP7yJLEg0+/y659FSiKhFU4QYGgXdG0f0aSJEomXmj63FuvH8ToIefitstomoHLYcFuU1gyfUTaeyT7bXRe2PEpkiRTNnskz722P6ukYDSe4Fd/eJvn/noATTNE4NRJ0HWDhKrjH1BIOJ5M0ARro4QjKque2M2S6SN4bNEELIpE+Zxi/rh8Eo/cOdYsM7FYJAKlfpx2mVhcJaFpoi9AkIHU9n9sAAAgAElEQVRIxX5FZFnivB5efjV/DAlVRwKQoGTiheTl2LOWoVRVRwiF43TLc+CwWkTm+ytQE45xtKqOAp+TG394MbG4xtpn97J0+kjKNyYzDA/feQWrbx1tNq0W+JyUzy0iFE5kSDk+uGAMSzfs5uNDQVOPVwzNEQjaD7GYiqLIrAuMQ5FlIvEEhfk5+DwObv3JYM4r9GCRJY4Foxm//4fvvIJbfvka0NhAOd7fh2Ub3qR8TjHb9hzG47KaUnCyLGG1ypT9bo/pM0SPTucgJaCQ6uW695akss38kiE4bBaWTB9BQjVYviG9rNFuk7iy6Hw8LisWRabA5+D4qXpWPfEWv5w3Rly0CTJoUxbx2WefMWXKFCZNmsSUKVM4ePBgxnMeeughRo4cyeTJk5k8eTLLli07a8cny8mgLRxJcPcjO/jZL15m7bN7MYARA7qnPbfA56SmLrk9GolpHD5RJ4bp/ANS2Ya8HDt3TxtOfq7T1OxuOt45x2lF0ww0XcdqTQ41wJCySjmGY7q5gCbr7cVoZ8HpI574ZmoF3/R1nY3UbISmjZT5HjsOm8KNP7yYc7q7SSSMrE3X5Rt347RZgcahJvGEavqSVB3usEt6oCgSiiJjsUjc+cDraT7DKzKWnYLmAgrxhMZ/b/+UCwo95OXYcdqsWW3MbrGy6ok9/LC4L4osEY1r3H7/61QGI6KsUZCVNpWCXbp0Kf/8z//M5MmT2bx5M0uWLOHJJ5/MeN4111zDXXfd1QpHCLX1MU7WRFhww1Bq6xM8++p+Vj2xhxWzRvHZ0ZB5JTxvyhB+/9KHVAYjyHJy8pXbYcURVzP0vwWZ2YYRA7pz848Gmk4uNf2rfG4Rwdp4WmZrxexRGU2X0Li4PnrXWHQDclxWHI42ZfKCdo7NqnD1HZu/9uue//XkM3A0HY/msxEeWDCGcEzHapE4r9DDiWAUd8NvuqXf/7rAODTdYOvfDjKoXzcKfO6GOm6Z2dcNIs9j5+iJWvLzXLhtFsrnFqNpBooi4XXahM/oJDQVUOjf24fTYeG2KYPNnZQVs0a1aGOVwQi6bqBhsPr3bwPJ9UqUNQqy0WY8ysmTJ/nggw94/PHHAbjqqqv4xS9+walTp+jSpUsrH10SXTeoqomy9tm9GQF2bX2C+xaMIdpksMvEEb3I89ioDSfSXrP4ZyM4r4dXBN9NaJ5tqK6NY7FIZiNlqhYzW2Z78do3KJ9TnLX5VZFljpwIUdDFRY7D2irfTSAQfDM0TWfQd/K59op+WC0SUVXHYpE4FYrhcdlMlRNZklr8/a/+/VsEa6PMLxlCbo6NbbsPmnW4vbt7OXAkyPrN+1g5u4jKmpjwzZ2UpgIK143txzPbPmHmNYPM9UaRswsspO5XZJm//e9RfnrlxTz/+qdM/f7FoqxRkJU2E3gfO3aM7t27oygKAIqiUFBQwLFjxzIC7xdffJEdO3bQrVs3br31VoYMGZLxfqFQiFAolHbf8ePHv9Ux1oRjlD2eHvQ9+PS7zL5uEG6XhcosNYYjLi3k9vu3Z+h//2r+GCEx1ITmco0z/+lSIjGVRTf5Wfn4bm6Y1B8MqcXMttueLDlp/vdXFFj77F4W3uTPGKjTljgT9ioQnAnOpq067BauLDqfZRvexOdxcOMPLyaeSPZ9pDKQr719mB8W9cn6+3faZe74l8uQJcmUG7yq+ALsdpkHnn6PXfsqzOe6HQoFPpcIujsQX8dWUwIKK363C4/Lyrjh56WtN5F4IquNpRr+K07VsX7zPgp8TlbNLaZrrlPYkiArbSbw/qqUlJQwa9YsrFYrO3fuZM6cObz00kv4fL605z3xxBM8/PDDp/WzW9Ly7tHVjVVWWLIxi3zVnOKsr0moovarKVaLzIgB3Rk3/Dw8Lit5bgeBNTtYfetoHlwwxtzuK59TzJ1Th3JRn67mzsJHB08SjukU+hwNTVIGiiyhKFC6/GUAyh7fzaq5xXTzuVr5m2bnTNirQHAmOJu2qqo6q57YQ2UwwvTJA3lg07ssuGGomYFM+YK6iJr8/afKRGQJt13m70dref71T5l93f8hntCQJImEqqMoEjOvHcTNP9JRFBlfjh2rVTkr30lw9vg6tprs4bI1zIwwyM9zpu2kfHzwFEUDCxvXmAaN97qYhtel8C9L/wok13dVKJoJvoQ2E3gXFhZSUVGBpmkoioKmaVRWVlJYWJj2vG7dupn/LyoqorCwkP379+P3+9OeN23aNK699tq0+44fP87UqVO/8TG2pOUdDMXIz3O0UP9lZH0NwMmaiNmw2dl/pB6njZKJF7H9ncOM9/fBapUom1OEzSIRjjc2TjnsMucUeDIG5jjtMqGIyuJH36BsThE3r3w57f1TzrCtcibsVSA4E5wtW9V1A7WJjKDHZaUyGKG2PkGBz4mqa1l9QaHPwdINu7lj6lAefDqp5R9PaCx+NFmSBsnGbJDo4nEItakOzNe11VhCBwxsVgVNM/iiMkSg1M/RylrOKfAw777tabZ24IswKze+xbpA45DAAl8yYBcIWqLNVP537dqViy++mBdeeAGAF154gYsvvjijzKSiosL8/4cffsiRI0c4//zzM97P6/XSs2fPtH89evT4VseYTct70U0jyPXYzDqvpqSkqJq/Zt6UIax7bi9fVNbxyDPv8fnxEHobDgrPBqH6ONvfOczoIT3x5FhIJAx03SCuGmkavtEW1AsiMR2H3dLQ5ELWc9GWx/aeCXsVCM4EZ8tWa8IxFCXpV8tmj6TA5+Lay/vSp9DLwlI/FllpUckoWBtFkWUqgxFyc5L+2edxoOkGL+/6nE+/CFFVHeFUbVSoTXVgvo6txuNqUt1GlnFYJJAMFEUhVBfloj5ds9pa33N9XHt5XxQ5GUoV+JzMLxnSUNYkEGSnTV3q33PPPdx9992sWbMGr9fLvffeC8CMGTOYN28eAwcO5De/+Q379u1DlmWsViurV69Oy4KfSZpreVstMrluO/G4hqapWeu/3DYZu9XOPTNGUlsfp6Yuzu9f+pCPDwX57GiI6ZMHdvqa79TQnInf7YPNLnOyOsbRyloGXJBPTV2MHKfN3DVw22VTc1eRZdx2mZIlW9B0nVBNPOkEFYl5U4aYAzZS56Kz/n0FgvaITYaorvOb28ZwojqKhsaUcf0Ix3RcDUojDy4YQ8mSLeZrUruMgVI/B44kJQF9HjsoBjf+8GJsVpnLLu6R5hsW3uTn/MLcTr/r2JmJx1UOVdbh9VhxWxTCMR23XaGwq7thd6QlW9MZM7QXbrvM+oXjUWSJSFwVjfyCL6VNBd4XXHABzzzzTMb969evN/+fCsZbC1mWMgI4h8PCyZoEbpeSFhR+dPAkXndSA7ZLjhW7TcHnsfPznw7Dbpf5xYbd5vZpZ675rgnHCEcT5ObYQJPMbb3Pjtaw9tm9lM8tMreQsw3J2LR8EuGGTHjZnCLe+7iCrbsOM/u6QZzbzYNFSZ4zMchAIGgf6LpBOK4TDMVQcmXKN+5O6/Vo/vtPBUSpXcaqYJj1m/exsNTPsao6YgmDDZvfZ/UtxZlThh/f3akTHwKoDsfNHqL7nn2PBU1kBL/U1mQ5TVlHN+DgkRo8LpsoYRK0iIhETgO6blBdG2Pxmje5eeXLLH70DY6dDPPfr3+GIktIQCiiEotr/N9tnxBYs4MTwSiBm4bRI9/FY4smNJRT1Heqbc94XOVEsB5d18nNsWMYoOm6ua3nsCVLR25esQ2v22oG19m2lh12mRmTB6DpBg89s5dgbZSuuU66d3HRzecSQbdA0E5IafoHHtnBXQ/vQFFg6fSRX/r7h8Zx73abjDfHwfTJA/nj1o9QFIVnX91PZTBCLJG9Qb4zJz4EmOWMmq5zVXHftL4iaNnW3vukgspgBMMwQDKQJINfPvWOsCfBlyIuyU4DNeEYZRszZQYX3jScYG0s7ar57mnDASjfuJv7F4yhIstVda9uOR32alnXDWrCMeIJDV032PPBcS45P5/t7x7mR5dfgCRJphO02WTW/HwsspSs7bZapBYHGCy4bweBUj8ep4UNi8ZjsyqiaVUgaIc01fQfP7yXOTCr5QEmhjlO3mpN7iTOm5KUmB03/DyztK/A52wY6Z3Z7C4GnXRuUr0EiixzbkEOagsKZk1t7b1PKnjomb3JZkpZojacIKHpwp4E/xBhHaeBlmQGPU57xlXzqif2cO0V/agMRlocc1xTHz/r3+FskMpk/dsD25m+chuLH32Dyy/ric9r54fFfdFUA7dNxuu08LvFE3A7bFScCrPvQBU2q9xyA2tDE1X5xt1E4jrdu7jxeRwi6BYI2hm6bhCLa/g8DhaW+rnp6kvwumysmDXKDI6akvz9JxviQvVx3t9/go8PBXnypX3YrAobNr9vBt133Tgci0Vi4U3+tGb3xT8bIQaddHLy3LZkT5ZdxjD4krVGYvGjbwCYQXeg1I9FkSnbuBuvyybsSfAP6Zhp1bNMSzKDLQ17cTkV1vx8LJqus3T6SJ57bT/b9hw2H9e0jqlw0nw65W0lg6mpi1NdG+OBTcm6yz8sn8SJLLsAGza/z4Ipg7M3sNqT148d+W8nEHRkEgmNUH3SF7hcitkH03Qo2ablk1r8/YciKtvfOcxVoy/g0bvGounwxt4jLP/XUWaDdkLTOHCkhu/0zMtokBcX6Z0bm81C74IcEgkVMHDblRZtLbXLui4wHkmC194+zOjB51IZjCA1CDAIexJ8GSLwPg00nXjVtFM+27bmtZf3pbph67R5+cm2PYfN5qCOSPOdge5dcqg4Vc8Dm95lgr833xvWi/qISo7TygR/b57a8rGZyb71J4MpWbKFTcsnpQ3JSamaAB36bycQdFQSCY3PK2qpro1y9EQdl/TNp3zjm5TPKU7bEfz/7N15fFTl3fD/zzlnzuxZhiUsZVOLSBUqKKFAxJbN1mopN48PKLVERRToDdLeVYP8VCgQsS51Q4tYUW9usf6sN3VpQbRWQUtQsSgK4oKAkIRlss96znn+mMxJhkzYJBv5vl8vX5JhklwTrlznmut8l5c27uLyEX0a/P7Pvv8tCmfm8eI/v+Qnw8/kxqVvAIn14Ls9s9EdGk+/uo3rfnYeXXpl4/XIRls05HQ6ME3AMpl9/1s8OHdkgwpaW78MsvRXeYnygYpFOGJSE45h1JawdTlUmVvimGTjfQo0VmYwFjMSmdDrtjN6SG+y/E46ZXnshg9QF35yx7RhbP38IAX5uWR6nC38ippG/TsDY4b0BAU6ZbtZdONwUGDeso0ppwuAvfnulO1hyiX9OFQZQ1NB1zUM02T2/RuAumSX0/VnJ8TpKliVyIOZe+Vgcs/txm2PbrRPFZPr5JRL+nHh97qmNDBZNGM41RFYdONwTMuyS4lCYj2Yl59LdTjGX9/6gv87ph9/e+crLrvoLPw+2RiJhmIxg/KaCJYFY3N7pVQ1mXDxmfw070x6d80gbli8vOELLujflZfe/oLJ485h174ybrsml2ypjCOOg2y8T5F0ZQbLa6J0Dbi5ctw5dvLlY7eMSht+ojsUCmfmURWKUBGK4nan/tMkkxLb8u3RDE8iju6tD/YwclBPCh5J7Th3x7ShfHOghhfe2GmXaFq1dgc5AQ/Fh6q5eHAP5j/2Tsrn3DNnJOFIHE1TyfQ4G/zchBCtWzKZurImRqfsxBvzfr0CdpxtaTDEDy/oyW2PbiSQkahW8p3OXqpD8QahAIZlsLxgDGDh9zioDuuMHtKb5S8mYr1/MvzMln65opUKVkWIx010XbPnW2kwZL/pq38wdOvUIby9ZS+jh/S2yxBG4kZLvwTRRkhyZRPyOVWqIwaRmMG08QPo1ytg35KqL5kg+Oy67cy5760Gccr1kxKvW/Qa//XAW22y22VlKMrqddu5dMSZFD7VMKkUVFas+YirL+1PIMONZVl2p8/V6z4jWBlp8DmxmMnO3UEA2XQL0QYlkyZfeGMnqqKQE/AwcVRftu86xLz8RCKkZVkEMtxcfWl/Vqz5CFDTJqbHavPSn/jrx4SiJqZpsWRlkZ1gKaFoojGGYWKYgAKWZdlvAH90Yc+0RRLG5Pax+3AYpsmdy9+lrCrSsi9CtAmy8W4ipmlRXBZm3rKN3PLwBntD+c7Wb7h16pCUrPpbpw7h2XXbU2K8TdMiWBmmNFjDofIQq/7+acov/qI/baK8uvX/ksfjJgeCNew/WE04YrBpW0lKC/ik0mAITa0rxTh53Nloqsq08QN45tVPCVaGKa+KNvgcw7TonpMhISZCtFEBv4uC/FyClWF8LpWC/Fyy/E5+v+oDMnw608YPQFNVJo87225+k1wr6isNhhItvzXFXmeSJBRNHIumJUoEunXVfjM4cVTfRksLappCZU2MnIAHRUmUuo3G5NRbHJscETaR8uoIS55sWNt72vgBvL1lL0tmjsAwLRyaiu5Q+b9jzubKceegOcDvcvJ1cUVKsubsSYMoq4yyo/Z093iaPjRXeEpj3yfZhjd5WnDHtKG11V5opAoM9mvr3snPvz7ex+Nrttnxms+u257yfZPlnXp08stptxCtXGPrhK5r9MrxUzgrj3DcIhqL0zHLQ07AQzye6Dg5NrcXFw3qYa8Zja0hDk0hFInZdxEBu+6yz6XKOiEaFfC7GPK9roSjJk498QYwGjOOOtde3/w1Bfm5vPn+HnsDHqwMt8lQUNF85MS7iTRW2zvL7+TiC3pSFYphYVFRHeW/HniL6YWvU7BsA8GKKNXhWErZveSmfeKovvbXOlaR/uYKT0n3fXbtL+dQeYiyqkRoSbImb3IDvb5oFwVTcxuc+r/45k7741jcpHPAx9Jf5bHoxuEcCFYzaWy/lM8pmJqLU5eLqRCtXWPrUSxmcLg8xN4DVSx/cSuGZdIh04NpWhTOzKP4UBUF+bnUhGN2cjbAi2/ubHDnsCA/F0WBhSs2UZCfi6aBqmGvrRE5jBRHoesaXo8jEXJiWHTIctEpy8P6ol1p55rPpXHd+AFkZzj5fG8Z8/Jz+f0z77XZUFDRfGTH0kQaq+3dMcuNicm9z2zh5qsvpDwWZdr4Abzwxk527A7Wdmgb0eimPfl1jlWk/8ia2cnwlHvmjGyQBPptpPs+i58sYtr4AYna21cORtdVnl//GZdfdBYdslyMye2D3+ugcGYeccNE0xRe2fClHWozZ/IgHvrzh/bpfk7Aw53XD8PhULhrVh7RmIGua+gOlVAkTjReQ8DvQte1U/a6hBCnTmPr0aIbh2Nh4XXrzLri+xwqjzRImOwScDP+4u9ScriaW6fmctdTRazfvIcMr86SmSMwTQtNVdE0MGo37Lqu8uI/djImt09ivbxmKNl+aWoiGmeaFpGIiaIouB0K+4Nh3vpgD3nn9+DtLXu5Y9owNE3BoSls+ng/rn5dOFwRxu/VmfrTc3Foqn3NaoprrTh9yIl3E0nW9q7/LnneNbn2pvvqS/tTsGxDSvx3v14BSoMhVFVJm4DZJeDhifljuWfOyGMW6W/sxP1Y4SknKt33CWS46dU1g7lXDiYcjdMpy8Oksf146e0vCIUNFqx4l6kL1lGwbAMHykKsXreD/md0Yumv8iicmcfTr3xqL2DJcTs0lUy3g5LDNby/vST1TsEjG/i6pJKYxNcJ0SodbT2qCRvc9uhGItH0nXyjcYuyygj3rvqAP/5lKzMmDuTRW0Yx+JwuAHxzoAqAmrBBZXWMsuow//XAW4wc3BNFtbjz+mH4fXrzvmDR5pRXRzBMkzff30N1xGT1uu1c0L8rf16fuD5VhaKoCqxet4PH12xDVeDB57agaxoOh8qf1++wv1ZTXGvF6UNOvJtIutrepmlhmCY3X32hXcv7tvwLOfM7AQzT5PZpuYQjJigW867JtWPEkyEaBhY+p0Z11CQaNY4aYtHYifvRwlNOxpHfp1+vAL/8aX9u/2Nd2b87r/8B2Rkurv/5ALskU79eASaO6ovuUJnww748+NwWduwOsrxgDL+ZMhhFUXjz/T12OUFNVagMG2Rl6PzgvO4NaqEXriyicFYeOQHvKX19Qohvr7H1yO1ysGBF4nc5WUmivtJgiLhh8uy67UwbP4AMr05lTYyVL2/jx8P6JL5OBy8+V6Iq1NbPD1I4K4/CWXl8uTfI4pXvUThzBJU1Cg5NlRNI0ahYPNEo57Wi3Vw8uAejh/S2k3nLKqN2qOf/HXM2lTVRDDMxP8PROG6ny+4+DU1zrRWnD9l4N6Eja3tXV4fZH4zRLeBO6Yjlcqls+qiEM3sE7BOfoed2YdGNw4nFTb45UM2z67Yzaew56NkaB8tCGIZJADdut4NwOE5FKIphmHY963TdNI8VnnIy/G495U3C5HFn2+3fIXH6HayM8MDj/2LulYPtTff863KJRk37ZzD/ulwe/vOHKApcv+R1+zaz1+2g/xkd7YtqQX4ufo+S9gIt7eKFaJ2yfC5uu2Yoi5/clBJGAnWbbaW2lGDy4/tuuogsnxvDNJn+84FUhSLMue8tO9m8W0cvLqeG36Wx4qVP7I1P3DD5/x57h8UzRpAT8BCOxonFLTplexobnhDoDpVwLMa8a3LRNJUsv5PSYIiHf/tDPE7dvlZVhSJceck5vLP1G3ICHrxuHZS6BMymutaK04dsvJtBMps/HDHoFnCndMRKXoBGDOhmd2UD2LSthK/2VVA4M48lK4sA+GpfBXdeP4xbHt5gh658p6OfvQerGny9Hp38abtpnspM63jc5OuSSlbXnkZ1zHLbdU0hcfo9e9IgFqx4126QkRPwMO/aIRwsa/gzuGnS+by8cRdQ7xR7Zp5dahGwH0t3eiY1eoVonVRVIcvvZMbEgbidDnICXpb/71Zu+I+B3DFtKG6ngwy3RkF+LoUri7h16oUoimrf2UquEffddBG//sPbPPjcFgpn5eFQYPLta+3vkxPw8PX+SvsEfc7kQbicGs+v/4xz+pzfgj8B0dpl+VyoNRCPW7h0lUCGiwd+PZJY3GLhitR5qCoWQ87tSu65XVn3r0RH1N/PHkncaLsN7kTzkXshTax+Nv/0wvVUR9LHMVZH0sdAGqaZ8nHyd7k0GGLJk0VUhKL21+vXK8C08QOIxgwqQoma11k+F7pDJRY3Ka+OnJJM62Rt7sMVic3zpm0lLFlZxPIXPwISF79+vQJcfWl/qkJR+3W98MZO5l45mHjMSvszqImYrFqbGidnmGbKLbxk7e6C/NSqKAX5uQQkeUqIVisaM1iwYhMFyzZimCZllVEOlYV59IWtFCzbSHXE5JMvD7J4xgiyfO60a0SWz21/XFYZYX8wzOqFlwDYJ+EvvLHTLifYrZMPv8fJ9J8PxO+WOG/ROMMwCUUM7lz+L2rCcT76/AB+jyvtPPR7XHhdOpk+JyMH98SpqygK5AS8BDLcsukWRyUn3k3syGx+w2xsg22lP8VV1ZSP6/WEsD9v2vgBdM52Y1qw9OnNKbe7dIfKHcvfTXnsWImZRxOPm+wqrqBwZRELpw9LGe/EUX2pCsWYV9sMI1m3vP7r0nX1KD+D1GSUZF3UIx/TNIXeXTIonJWHYVhomiJVTYRo5ZJNSRINcBINcX7/3++lrI2Pr9nG42u2sbxg9FHXiJyAh0PlYVas+YjCWXn88dbR7DtYZTfbKsjPBdXi1ofr2nwX5OfSp2smDom9FWkkW8Yn5+dz63cy4LudG52HqqpgWuBwKIQiBl6XXH/E8ZEVqAlFInHCESPlF1dT62rRJiWTB9Od4m7fdcj+uH6t6+RjWIkGEwfKwvamG+rKdRUfqj6lHS+DlXUhIsnGAkkZXh2308HmT4r5Tmc/pcEQL7yxk9mTBjHh4jP5r19cwN1Pv3eUn4Ha4PWrGmlPtnVdIyfgpVsnHzkBr2y6hWiF6nfg9TlVe4378LMSunXyN7o2HmuNuO2aXF54Y6ed2/HWlr30yMngN1MGUzgzj0CGi4LaTTfUnVQGK8PN9+JFm2IYJkptRTFX7Vw92jx0aCpgoamJEoMHysJSWUscFznxbiKRSJw9B6ooqwynnPgmf6GPjG/2uVRU1cnd/3kR0ZhhJ3H069OB5QVj0DQFwzQZdHZnrhx3jp3osbe0gtJgKCW2Oqk0GMLtTP0nnjSmL7G4yf6DVWiaSrbPidN5/NMgblh2WEtVKMrCG4az/2AVq9d9RseACw2Niwf3QFNVfjtlML9f9QGffnWIkYN7crgiTGkwRHl1OO3PwOVSWTxjBJZl2Z3mXn9/b8pjmV6nbLKFaANM02LfwSqKD1XjdjoIR+P07ZVtJ5YfWemk/trY2Drpdaks/VUe+w5Ws2N30D60WLV2h10BaeH04cSM9C3l49LURDRC01SCZTXMy8/FoUCmX8erN369jgNGRMGlOxINn6SyljhOsvFuIuU1idjrQIab2ZMG2WWJfv2Ht3hw7si6MAlVweVSmXz7Wrt5zNOvJG6Xzp40iP9Zu4PpPx8IFuw/UEX3nIwGCUf/ecVAO3HxyFCVcDRuf/yfVwzkzB4BCh5J/fxeOf6UzXc8bhKsDBM3LBxaojJL8vasQ1MYem4XLr/oLO5d9b79de6ek0ewPErhyndTvvZvpwymT/dsFqx41w47+fUf3ua+my5Kqezic6lUR0wsK3HahWJxx4oiJo7qy+GKMJ2yEi16pUulEG1DZU2EwxWJGO7kmjBn8iAAbnv0Hfr1CnDbNbksrq2I9O/PDnBBv84UzswjHDVQFStljagKRdi+u4yeXTJ4+pVPUzZBgP31y6vDdsv5I9dDh8TeikYE/C7C0Th+r44F+HSN6oiZdh5WRQwqaxIVyipCcUCRylriuMkupokYRiJWrDQY4plXP7Vr0HYOePF4XPh8CsHKRKOH+rdDH1idiItesrLIjpFOxjX2yMlMX796Zh4fflaS9p15VobTvgCdf3aXlM8PZLgpqwyT6XOiVEexLHC7VErTVF3pleOnvDqKqipc97mt/G0AACAASURBVLPzmP/YOynjMGKkTUJJLlj1w04efG4Lv/7D23Z98gyfk+qoiYEBKFy3eL39c0xWdFleMJoOmXKSIERbEYmZKaVFk+vbwhuG289RVYXbr/sBHrcD3aGy73CIu57aTCDDzYyJA1MOGWZPGsTqdZ/xmykX8Jspg+037N8crmHpr/LolOXh7mfeI/+y7/HKhi/TrodSx1s0Rtc1unXwUVEdYc4Db/O7G4fh0FQqa+IsfnJzyjz0e5z29S1uWFTWRKSyljhusvFuIvUTiXbsDrJkZRE5AQ+Fs/LsxMb63dz+84qBnH92F/td9X9eMZCHnt9Klt9pJ1geLSlxwHc788RfP05pMpEs83ffTSOJxEz7zQBgVx156e0vuPyis+wT+WU3j0q/gZ6VR8EjG5g0pi8D++Y0GMfRxhY3EomjO3YH7TchWX4nHTLdrFjzEZPHnsNbW/ZwQf+udOvoa6RUoCpJUUK0IaaZviFOsrLSxFF92b2/gj7fyeJAMETnbA93PbXZPrDwunW7/GBlTcxOnLSwqA7FeHXjV0wa248snwuHI9EgJ1gZprImxov//JIJP+rLXbPyiJsWDjX1zp0Q6SiKQqw2nPKGwjd44raxvPT2FynX1Zfe/oLpPx9oX9/+8o+d/GT4GVJZSxw3WYWaSJbXmTZZMsvrtJ+TjHG0Q0CWbUi0QF+2gTN7BPjtlMEEMlz4XIkmO0dL9AhWRuyyfgXLNrKktszf4YowppUoc5R8MwCJi96Dz21J6c4FoCrpYyMNw+R3Nw7jzB4BtNoElH69AszLz6Vw5oijju0v/9jJrVOH2JvvFWs+wqlrOBwKU396Lh2z3fQ/oxPPvPopkXgs7c8t0+NECNF2OHUt7ZpQVplI7s7yOzmnT0dKD9dw3/+83+DN+5/X7yDL7+L+Zz9gSW1iZEF+Li5dIxY3qayJYlkWr2z4kmBFlH2lVSnlBAE6B7x06+ijc8Arm25xTMHKMGptIycATYNJY/uxYs1HFCzbyIo1HzFpbD876V9TVbZ+fpAMr06vHL/kH4njIifeTcTlctCzsz+l5F2W14nLVfcjT3aX9Ln1RkNIMr1OnE6Nssowmk7a26fuejGO9U+0J487mwyvk1jcxDQtsn1O+/OTyZhHJmUmK5WkK2voc6nomoaiwi1TLyQcMexbyb+dMjjt2D78rKSu+c3MPGJxA8OEF9/caT++vGCMfUegusYg0683iP+W2G4h2pZsvyslhjsn4OE3Uy4ALB6fNwbdoRKNGbidDkqDoQadK9dv3kOGN7EWxAwTh6ZwuDxE/sJ/2lWe/vbOV4zJ7cOCFe9SODOPu595j2BlWDoHipMSNyycusItvxzC0qc3Yxjw9pa93DFtGJqauD6uL9rF2KF97Gvv7EmDeOKvHzPrivNPqFCBaL9kljQhl8tBjqvhjzgWMwhWRTAMk0yfk2jMaCRMw6rbcCoKNz/wNpPG9E3ZlMZMg8/3lNEjJ5NFNw5HU1VKDldhodib4mT5re908pNT267eIhH+cWRS5otvJk6nk7d8kxe47bsO0a9PBwzTQjEUakJxHvrzh/bn/X7VB/y2tpRXcmwfflbCQ89vBWDr5we5chzcXltTPClZleDxeWNQFYXl/7uVTdtKUv7+rll5+Hyn9J9GCNHEVFWhV5dMFs8YweGKMOVVUf7yj51cN/682nA7C01TCUfj5AQ8PPfaDgqm5lL4VN1GfeTgnmgagMr2XYf4/aoPgMT6eNdTm5k2fgCaWrde/uYXF+B0qNLERJwUr1vjYFmYP6/fwZKZI3DoChcN6mF3X04eKPm9Oo4YHAiGefP9PWzaVsL0Ceaxv4EQyMa72cViBl+XVKacDB9PC/R4bXz2uk17yPC57XizPt0zyPS7U5KQFt04vEHy4+Ini1h043B27g7SPSeD1eu2M3vSIF56+4uUqitbPz/Izy4+i4XTh6OqCpqq4HSqKIrCvGWJurh3TBuK192wfOHvV33A8oIx/O2dr7hoUA+eW7/Tfi0F+bl4XOlLM7mcKpGoycsbvmDS2H58ta9CEqKEOA04HGqizn7tZnjmFd/ncHmET748yNDzuuFyauR08NonjAB3Xj8Mh6agqgr/eG8Pq9buoHDmCHvTnVQaDNEzx4/TqbH0V3loauKN++Rx5+Bz6XKXTJywSMxkSe316ZeXnssrG77kJyPO4M7rh6EqYFqJ8JOnX/mE0UN6cf+zH3DHtGFU1kTRJZRJHCdZmZpZsCrSIHlx+65DaTek2b7UePBkGb8Hn9vCH+aOJBQxMczEqfkf5o7kqtvX2rds052gBysj6LqD9z4pZtr4AagqTP/5QBQVlswcQXlVlEPlYf6xeTfjLz6LYGWiJOId04aljDlRWWBwo28WRg7uyVsf7EncntMSzQUUDUIRk32llSmn4tt3HSLT68QwTV7855dU1sRSbutl+HSJzRSiDTMMk2BlhFgsTkfVy1sf7GHk4J72G/mnF1yCz21x0+TBdMxyo2kKCnD3M++zY3cQoNFyqcWHq/F5dP701212CdbV67YzfcJA2XiLE1a/AMGLb+7k0hFnUBOO4XQk5pJlwfPrd7L184PkntuN0mCIqlCUyePOwaPLfBPHR2ZKM6v/i530+1Uf8N8LLkmJB6/f2MY0LVQFu4zfH+aOpCRNyb/VCy+hOpqIhbxj2lC7GsALb+wkWJm41Zvld9rNJiBx8Vo8YwQup4bH5eCsHpnkBDxE4xZllWHmXjkYlzNxWpVsnDNxVF9MCxbdOJwn/voxm7aV2DV0LcvC49b4ad6ZmKZF3LD49xcH+P7ZOTidSto65G6XSjiSGMv6zXvs2O+cgId75oxs3n8gIcQpFaxKbLp13UEsbvCT4Wek3JGrqYmhqgrzHt3I/yy8hKhhYhjw6ymD0VSF8uoIf9u4izmTB6WEz82eNMiudNKgBKvUUxYnoX41svWb99C/T4Dz+3UhHjfZd7CKjf/ex4jvd2fiqL4cLAsx9NwulFdFWbHmI+6alSdv9sRxkVnSzOr/YiflBDxEYmbajlemafF1cQWL/rSJ3159IaXBEKGI2WjN7OX/u5Urx52Dz+2gY5aXjlkmN199IW6Xytf7q8jp4GHouV3szXJBfi5vvr+HUUN64nJqGIZJdoaL8qpISuOL267JJcvvpKwyat+KS8Z/Tx7bj7KqCC6nxuP/+xHXXH4ev3/mfeZMHsTMu98AYPm8MezeX0WPrr4GiZP7g2G6BdzMuyaXJfUSsSRBSoi2zzBMOmZ5KVi2gTumDUNVYWxuL354Qc9ER1pNxaWrLC8YTdyEYEU05VDh1qlDGP/Ds3DpGotnjiAWM1FVhUPldetfhle3/5zld0o9ZXFSMj1O5uXnsmRlEbdPG0o8bjVoOLd63faU6+crG75MdEWVN3viOMk9/GYW8LvSlstrrP5neXWERX/aRGkwhKrCsptHYZgmd0wbxpghPe3nDfxuJwCu/dl5+L062ZnulPKEpcEwDg0qqqL856TzeWL+WApn5vHeJ8Wce2YHKqpjFDySeH5VTcyuRAB1MeLRevFvycfvemozGT4nDk3l8RcTp9+WabFjd5CSw9X8dspgnrhtLFgW3Tr6eH9bCdctfs0eV7A6RuHKIqqjJs+u3c6iG4ez4rYx3DNnJL27ZkqClBBtnKapdqnAfQcq8HscXPi9rtz26MbEOvDIBg6UhfnnB3upqok1OFS466nNuBwamqpi1dYA//9f/4wHVm/h6kv7M/TcLsSNRGJbTsBDIMMl5UfFSakMRcnw6tw3dyRel97gele4sojRQ3qnfJx7bjdyAh65VonjJifezUzXNXp3yUgJKwn4XY3W/4zFE/WzPS6dQ+Vh7nz83ZSToKRLR5zRIITjlqkXsvwvH7Njd9A+ES9YtoFFNw7H53GgAaMu7GWfPk8a05d1m/bg1LW0MeL1/1//8fKqKB0yPeRf9j3C0Thet4PlBaPxexyUBMNpW9w/9PzW2vi4WG2dcIvpEwY2KLkohGjbAn4XwcoI148/l97ds456xy7eSCMuyyLl5DG59j343BYWTh/OoYrE4/OuySXgd8stf3HCEqGRpp1jEI2nn4vJuyvJjztmuZkzeRBOXc4xxfGRmdICdF0jJ+ClWydfIuP/KEX3fU6VmrBBTSie9iRowg/78h8/6muX/0v+XeHKIjxOnasv7U+/XgG7y5bdKAeork3O1FSVQ+U1nNkjwKwrvo+q0mgznHSPZ3h1Fqx4l4JlG3n0ha3sO1jNvas+aPQCe/7ZXezPDVbUtdrNCXhl0y3EaUbXNTK9Tn5wXncs6+hdbo3aLrf15QQ87DtYlXbtKw2GqAxF6ZiVyFUJZLpk0y1OSnl1BKeuUVkdIxwx2X+wKu1crKyJpXyc7XfRuYNHwiLFcZONdytXHTVZvW47ipr+tFl3qDi09FVMVCVxIjRxVN+UjbOuqxTXnkQnQz503UEsFsftdKCqCnMmD0oJh5kzeRC6rjZ4/NapQ3jirx+nXBTvf/YDZvyfgUe9wCaTo17f/LV0phTiNOd2OzBMEwXsRjn15QQ8KIqS0uU2+fi8/FxWr/ss5fmlwRBa7QFBVU0UVYEVaz4iWBGxW9ILcSKSjeaWrCzCME1Wr/uM2ZMGNZiLr2/+OuXjylAUh6JKqIk4bq3qaOCrr77i1ltvpaysjOzsbJYuXUqfPn1SnmMYBosWLeLtt99GURSmT5/OFVdc0TIDbgaGYTJ6SG/7JOjIpMy4YWJZ6btNGmZdslFBfi6HymuYPWkQpkGjt3otLN7duo/z++UwY+JA3E4H4Wic7AwXYPH0K58ybfwAu464AikNb5Jfz+N02Bv9dF0wC2fmgQLTJwwk0+OUUyohTmOmaaGpiXOef328L2351Dff39Ogy61pgdftIFgZTvl6OQEPpgW/vuoCMv06mqayaVsJX+2r4J45I6X2vzhhukMlHInXvqlTCVaGeebVuutdOBrH79W57mfnMeXH/TlUHiI7w8Vnu8vwe/RjfwMharWqE+877riDq666irVr13LVVVdx++23N3jOSy+9xO7du1m3bh3PPfccDz30EHv37m2B0TYPTVPJ8jvTngQV5Ofyl3/stLtNHnkS/eKbO8kJeOiU5aFLwE1ZVYxnXv30qCfRv3/mffp0z+LDHaX0yMmgY5abXl0yyfY7icUsgpVhlqwsomDZRpasLKKsKtLorWFdV9MmkmZ6neR08JITSPwnm24hTm/l1RH+9fE+NA36n9GRT748yOIZI1heMJrCmXkcDFbbJU63fn6QL74p58alb9RWRbLSrn3ReJyuHb1YFny4I/HmvzQYIhaXDoLixGX5XPZh0YeflVCQn2tf7+5/9gOyM9zouso/P9jL7HvfZMGKTURjBq9v/hpVkdNucfxazY7n0KFDfPLJJzz55JMAXHbZZfzud7/j8OHDdOjQwX7eq6++yhVXXIGqqnTo0IExY8bw97//nWnTpqV8vYqKCioqKlIeKy4ubvoXcoplepwYhsnWzw8C2M1lTAtC0Zh9QgTUJmyaxA2Lv/wjUeR/zuRBaJpCKGKyYs1H9rv5xk6id+wO8vQrnzJ53NlYFuzaX8kLb+xMPH7nuAYnVTkdvNx2Ta5dBaV+fd25Vw3my73BlPKBHpcqG+00Tpf5Kk5/JzNXDdOkc8CHYcLbW/ZyWd5ZxAwTy7IIx2I8vmYbQMr6kfzYMMDt0ux1xDAtXnhjJ+s372HZzaNY8Pi/uGPaMPv50kFQJJ3IXFVVBVXF7qI6aUzfumuXprL9q0PMvf+f9vOT18yrLjlHwkzECWk1O6D9+/fTpUsXNC2RaKhpGjk5Oezfvz9l471//366d+9uf9ytW7e0v0hPPfUUDz/8cNMPvIk5HCqZHoddW3RPSRWTx51N905+IhGTfr0C7NgdZP3mPfzHqLOwLIXSwzWMHtKLEd/vTnaGC4dDYc0/P+fWqUO466nNlByuSnurt+RwFQA7dgdZsGITy24exeubv2biqL5keHW27yrje2cGUjbSuq6w+E+bmTFxIF06+NhbWmU3tXBoCs+t38lDz2+148Q7ZLrxeVyyUB3hdJmv4vR3onPVNC27ycjY3F6MHNwTp1OloixRr3vgdzvVtolXUVV4ZcOX7NgdTGmwdd3if/DozaP4w+otdjfLnICHQ+WhlHhvqf0v6juRuWqaFqYFGz7cS+GsPEzTwjBNnvjrx1z7s3Pp2yvA0l/lUV4V5fXNXzN53Dn4XCqa5iIak7ss4vi1mo33qTZ16lQmTJiQ8lhxcTFTpkxpoRGduHjcZFdxhX1xWjJzBJXVMQqfqtswz5k8iKdfSWx0DQM6Zzpx6w57Y+x2qVTWxPnkq2BKO/ZMn56ygT5UXsO8R9+1v3ciezvKpLH97IopyWSSTtluSg5HWPp03ePZGW6eemVbSmOBTR/vp3BmHqXBGiprYvY4JQazodNhvor24UTnanl1xG6MtWrtDn48vA+Hy8O89cEeFt04gppwLKVM6rz8XC676CwA3E6VKbevTYSZKIod650T8DD3ysGsfPmT2oRxjXvmjCTLJ2/qRZ3jnavJRnWr/v4pk8aeA1iEY3E6ZriYMfH7lFVFUpq7zbsml5xsN4eqoiiKhVuXGG9x/FrNxrtbt26UlJRgGAaapmEYBqWlpXTr1q3B8/bt28fAgQOBhifgSZmZmWRmZjbL2JtKsLKuLfzFg3tQFYricjpYOH0YhgkvvrmTB1Zv4Xc3DOdgeYjqUJzfPbGJQIabX/60f0p75eQGfdbvE50kh57bhSsvOYclTxbZz0+GnyRv98YNk3tXvZ+ShLlkZRGLbhzOhg/3snjmCLuhRU0kznU/G8A1l5+HQ1P4x3t7WLV2B0O+15WCZRtTXpfEYDZ0OsxX0T6c6FyNHVEP2TQtdIfGJT/og6LAPz/Y02CNmTFxIE5d4+lXPrVzVjZ8uJdp4wfQp1sG3xyoYuXLnxCsDFOQn4umJr6PYZioauPlWUX7crxztX6jup+NPItMn5PfrdjE2NxejLqwF25d445pw3jxzUSI05Ini7hp8mC8bgcZPl0OksQJaTUb744dO9K/f39efvllxo8fz8svv0z//v1TwkwAfvzjH/P8888zbtw4ysrKWL9+PatWrWqhUTetuGHZF6TuOX4qqqJpG+gcrghTHYrbMdzTxg+wN92QuJg9sHoLMyYOZMGKTeQEPFw57hy+KalkycwRHCoPEzdMCmflETdM9h1IhIvkX/a9tEmYwcoI4y/+boNTgIKpudREEifbyVvFyhFJJxKDeepEYwbOo9SAF6I10B11OSVjhvTkcEWkQUv4ypq6fJXSYAi308H9z37AwhuGs7u4kude28HoIb1ZseYjCmfl0atrJnOvGoxDU/C7NCbXnooX5OfSu0vGUXsjCHGk+m8On34lkZ808LuduKB/l5QGcMlr7vrNe8jOcHHn4+9SODMPh1zTxAloNRtvgDvvvJNbb72VZcuWkZmZydKlSwG4/vrrmT17NgMGDGD8+PH8+9//Zty4cQDMmjWLnj17Hu3LtlkOTalLgjRh9brtKaX8nnttB1N/ei57S6sIZLrshSPDq6fdMHfv5Gfpr/Lwe5w8/eo2Lr/oLF7Z8CUXD+7Jvavep3BmHn9/5ysuGtSDYGWYyppY2iTM8qooHbPc9qYbIJDhpqwqTPfOfn7xk3P4YHsJPxl+BpZlcce0oaxe9xnByrDEYJ5CTl3j8t+sOeHPe+ne8U0wGiHSy/K5mH/tUBb9aRMTftiXBSvebdAM545pw1i/eQ/9egWYPO5ssvwupo0fgKoqFG3bz+ghvenVxc+iG4fj0hNNxXSHis+pMvn2tfbXKlxZROGsPHIC3pZ8yaKN0R0qQ8/twughvcnw6ugOhUlj+3G4Isy08QMo2raf3HO7EYubTBrbj8qaKKqa6J9hWFI3XpyYVrXxPuuss3j++ecbPP7444/bf9Y0jQULFjTnsFpMIMNtJ0GiWFx+0Vk8+NyWlHAQl1OlaNt+Jo46294kN7Zh/rq4kiUriyicOYIMr5MOmW5+PPwMHJrKndN/gMel8tO8MzEMK/EuXlfspM763/Olt7+gT7cB9tfv1yvA1Zf2TxnbvPxcnvjrx3bMdzI2PMMrMZhCtCeqqtC7a6Zddan+ujRmSE8m/LAvukNhecEYyqrC3PPf76ckff/Hj77LnY//y35s/rVD6d01k5LD1Uy+/bWU71UaDGEYshESJybD42TyuHPsfKqf5p1p35UZem4X++/qX9+qw1FyAh5ccndFnCC5P9KKORwqfbpmctesPECxN7aQuMA8+NwWsBRGfL87K1/+2O6y9cIbOxt0mJw9aRAvvJGo6+10qlw64gzufPxdbih8nYJHNuDQVEqCYeYt28gNdyW6WR4uj9A14GbB9OEs/VUe08YP4KW3v+Dyi86qbfGe+PoTR/VtMLYlK4sYPaR3ysemhWy6hWiHVFVBd6gpXSvHDOnJpSPOYMGKd5le+DrfHKi0N91Qd4Jdcrgm5bFFf9pEeXUETVPT9hDQNFljxImpDEXtjfWEH/ZNaTD3Hz/q26Dh3JKVRWiqyrxrcsn2yx1ccWJk493KORwqnQNesNK3jAfokZPBpm0ldpet/Mu+B8DiGSN49JZRzJg40C7xN3vSILwu3a5Ukvw68biVtptlVcTAwqC8KkqGV2f0kN689PYXaKpiN7VoLLQlw6unfCxJlUK0X1k+F7pD4dapiaZaE37YN2UdcjsdadcRt9PR4LFY3CTgd6Vt0BWQjZA4QfVjvDU19VqbneFKOy+9Lp0sn1MOk8QJa1WhJqJxup6+6Y2uq/afd+wOsmRlkf3xtPED8Hs0enXJ5DdTBttlAxUabuJVJf3GPm5YuBy6nbiZvLi9/2kxRZ+UJBIy42basVXWxFLHKgkoQrRbqqqgKCpvb9nDgunD0GpjZJMaC5ELR+MpXye5lui6Ru8uGbUhLBaaphDwuySxUpyw+gnAhknKPNRUJe28VGsb2QlxomQn1EYkE5Tqn+4kExXT/d28a3I554xsPG4nBcs2ML0wET6i6w6cutbgFq1pkfa2rWFYGGYi5jvZ3vnLvUEeen4rm7aVoKkKpmU1CG2Zl5/L65u/bjBWIUT7le138aMLe3HH8neJxa2UNSddiNyvr7qADJ+zwdqSXEt0XSMn4KVbJx85Aa9susVJqX8NffHNnfbdXEhcG4+cl8mO0EKcDDnxbiOSCUr3zBlJLG6iO9SUZhH1/840LVas+YjpPx+YNnzknjkj7S6WyVNsTaNBN8tbpw5hfdEuLrvoLByqQsGyd9K861fo3slPhle3u305dY1Mr5NZV5zP9AkNxyqEaJ/qr2MWVsqaE6wMk+V3sfRXecTiFoqaKJn59CufMG38ALL8TgIZLnweh6wl4pRKd31dOH04igpOh0KW38WMiQNxOx2Eo3GyM1y88+99/GBAwx4iQhyLbLzbEFVVGi3Un/y7YGWY/3rgLUqDIa77mZk2fCQcifPqxq/sLpaJWtsWPq/GkpkjiBsWhmGxvmgXIwf3JNPjxOnU7JJg9asLJDfUWf6G45KmAkKII9Vfx/wunSUzR2CaFrG4xYtv7uSKMX1RULh+8euMGdKTX156LpoKhglOXSUWl/v74tSrPy/3H6zixqWvA4kk4CsvOYdeXTIxTAvLsvj7u18xcnBPfE4JGhAnTjbep5nUJJH0ceGaprL184N2wwqACRefyWV5Z+F1qdRETVTF4rKLziLT48TtTkyTo524CyHEiXI6HXTO1jhYHmL+Y4lGJes37+GJ28aSE/CwfvMee53KCXgonJmHy6lQGqzBMEw0TZW4bnHKJSvmJOfj+s177PlnmBaX5Z2FgUF11MTna+nRirZG3q6dZpJJIgBffhNMm/WPajV4fOTgnmT5nPh97pSYyeSmG+pOBHICXgIZbtl0CyG+NVVVyPI6U9akvaUVadeuSDzGgbIwBY/U5q08soGvSyqJxYyWfAniNHPkfEzOv72lFXa+VHWNQZbX2cIjFW2RnHifZup3iVu88j0WXD/UfpeuaQp7SyqYe/8/uS3/wtrHE6dGWV4nLpdMByFE83O5HPTs7E+pUJLpcdatUarK3tIKeuRkcufyDQ3yVqRbpTiVGsxHVQHFItPrZHnBaDRVxeNS5ZopTorMmtPM0ZIw9x+s4o7HNwGweOV79ucsLxgjC4gQokW5XA5yjliHnE6N8uoIsbjJGd/JJhyJp81bkW6V4lRLzsf9B6u4bvH6Bn+/vGAMGRJmIk6ChJqchhoLCZFOb0K0DtGTDI042c9rq45cy2QNE81N5pw41eSYsx1JdnqrXzJQOr0J0fycusblv1lzwp/30r3jm2A0bYesYaK5yZwTp5psvNsR6fQmhGjLZA0TzU3mnDjVZOPdziQ7vQkhRFska5hobjLnxKkkMd5CCCGEEEI0A9l4CyGEEEII0QzaVaiJYSQqAhQXF7fwSER70LVrVxyOk/8VO9Z87dGjx0l/bdE2RWMGzpOILQ2Foxw6WNro3zf1XBXiVPo281XmqmhO6eaqYllWuymA+t577zFlypSWHoZoJ15//fVvtTmW+Sqai8xV0ZZ8m/kqc1U0p3RztV1tvMPhMB9//DGdO3dG0xqeGhUXFzNlyhRWrVpF165dW2CELaO9vm5o2tf+bU8RjzVfT0Zr/7eW8X17JzPG1jRX28LP+FSR13pyvs18PZm5ejr/O8lra1rp5mq7CjVxu91ceOGFx3xe165d2+Vt/Pb6uqF1vvbjna8nozW+3vpkfN9ec46xKeZqW/gZnyryWpvPt5mrLT32piSvrflIcqUQQgghhBDNQDbeQgghhBBCNAPZeAshhBBCCNEMtDvvvPPOlh5Ea+JyuRg6dCgul6ulh9Ks2uvrhvb32lv765XxfXttYYxH09bHfyLktbYNbXnsv+HIZQAAIABJREFUxyKvrXm1q6omQgghhBBCtBQJNRFCCCGEEKIZtKuNdzweZ+/evcTj8ZYeihDHJPNVtBUyV0VbIXNVtLR2tfEuLi5m9OjR0ipWtAkyX0VbIXNVtBUyV0VLa1cbbyGEEEIIIVqKbLyFEEIIIYRoBrLxFkIIIYQQohk4WnoAQrQ1pmlRXh0hFjfRHSpZPheqqrT0sIRoQOaqEEKcnKZaP2XjLcQJME2Lr4srWPSnTZQGQ+QEPMy/dii9u2bKhkY0u3jcJFgZJm5YODSFQIYbhyNxI1PmqhBCnJxjrZ9HW3uPRUJNhDgBZVUR+xcRoDQYYtGfNlFWFWnhkYn2Jh432VVcwa2PbGB64XpufWQDu4oriMdNAMqr08/V8mqZq0IIcTRHWz+PtfYei2y8hTgBkahh/yImlQZDRGJGC41ItFfByjCFK4tSLgyFK4sIVoYBiMXNtHM1dpwXh9YgepK/Vyf7eUIIAUdfP4+19h6LhJoIcQJUVSEn4En5hcwJeFAVuXUvmlfcsNJeGOKmBYDuUNPOVf04b4e2Bk5d4/LfrDnhz3vp3vFNMBohRHtxtPUzHEl/AJdce4+l7azAQrQCuqYwZ/IgcgIeIPGLOGfyIHRNNt6ieTk0xZ6HSTkBD47a+O0sn4v51w5Nmavzrx1Kls/V7GMVQoi25Gjr57HW3mORE28hTkCmz0V2OMaMiQNxOx2Eo3GyM1xkymZGNLNAhpuC/Fz7lmdOwENBfi6BDDeQuDvTu2sm98wZKVVNhBDiBBxt/TzW2nsssvEW4gQ4HCrdO/rxOB3ETQuHemLZzEKcKg6HSp+umdw1K6/RuZi8SAghhDgxja2fx7P2Ho1svIU4QQ6HSueAt6WHIYTMRSGEaAHfZu1tNRvvYDDIzTffzO7du3E6nfTu3ZuFCxfSoUOHlOeFQiEKCgrYtm0bmqZxyy238KMf/aiFRi2EEEIIIcTxaTX3xxVFYdq0aaxdu5aXXnqJnj17cs899zR43hNPPIHf7+e1117jscceY/78+VRXV7fAiIUQQgghhDh+rWbjnZ2dzdChQ+2Pzz//fPbt29fgeX/729+YNGkSAH369OG8887jrbfearZxCiGEEEIIcTJaTahJfaZp8uyzzzJq1KgGf7dv3z6+853v2B9369aN4uLiBs+rqKigoqIi5bF0zxOiNZD5KtoKmauirZC5KlqjVrnx/t3vfofX6+UXv/jFSX+Np556iocffvgUjkqIpiPzVbQVMldFWyFzVbRGrW7jvXTpUr7++msee+wxVLVhJEz37t355ptv7KTL/fv3p4SoJE2dOpUJEyakPFZcXMyUKVOaZuBCfAsyX0VbIXNVtBUyV0Vr1Ko23vfddx8ff/wxy5cvx+l0pn3Oj3/8Y5577jkGDBjArl27+Oijj7j33nsbPC8zM5PMzMymHrIQp4TMV9FWyFwVbYXMVdEatZrkyp07d/LHP/6R0tJSJk+ezPjx45k1axYA48ePp6SkBIDrrruOiooKxo4dyw033MDChQvx+/0tOXQhhBBCCCGOqdWcePft25cdO3ak/bs1a9bYf/Z6vTz44IPNNSwhhBBCCCFOiVZz4i2EEEIIIcTpTDbeQgghhBBCNAPZeAshhBBCCNEMZOMthBBCCCFEM5CNtxBCCCGEEM1ANt5CCCGEEEI0A9l4CyGEEEII0Qxk4y2EEEIIIUQzkI23EEIIIYQQzUA23kIIIYQQQjSDVtMyXojWJBqNU1YdxTBMNE0l2+fE6ZRfF9G8ZB4KIdoyWcMaat+vXog0otE4u0urKFxZRGkwRE7AQ0F+Lr1y/O1+wRDNR+ahEKItkzUsPQk1EeIIZdVRe6EAKA2GKFxZRFl1tIVHJtoTmYdCiLZM1rD0ZOMtxBEMw7QXiqTSYAjDsFpoRKI9knkohGjLZA1LTzbeQhxB01RyAp6Ux3ICHjRNaaERifZI5qEQoi2TNSy99htkI0Qjsn1OCvJz+eTLg+Se2w2fWyMUMWvfvdeQ6XHidsuvjmg64XAcn1OlcGYehmmiqSoGBtU1Btk+Z0sPTwjRTsViBsGqCIZhkuFxUBM17cRJj1MlFDXta2TyWnpkjHd7X8Nk9yDEEZxOBz06+QEIVoSoCjkaLBw9Ovll8y2aRDgcJ27EKQ6G08679pyUJIRoObGYwdcllRSuLOKmyedTHXY2WKNisTgV1VH7Gtkrx0/hrDwMw0LTFKlqgoSaCJFWRSiRFNIxy5s2OaQi1L6TQ8SpF4sZlAZrCFaFqYmYMu+EEK1KsCpir0tdOvjTrlEds7z4PTqReBxIHGTlBLx06+QjJ+Bt95tukI23EGklk0IMU5JDRNMLh+N8XVJJwSMbmF74usw7IUSrEQ7HKQ3WpCRLNrpGmSa3PbqRA2VhYjGjJYbb6snGW4gjhMNxNDWRFJL8f32SHCJOpXA4TkVNatktmXdCiNYgHI6z92AVBY9sQFEUe11qdI1SVfv0O1gVaYkht3qy8RbiCBWhKLquUJCfy6HyGgryc+0FJhnHlulp38kh4tSpCEUbnB7FTUPmnRCixSXDLkuDId58f4+9LpUcrkq7RpUcrgLkDt3RSLCNEEcwDBPTVFKqmtjVJTRVqpqIU8owTPskKbn5vqHwDZbfNqp23iWSkmTeCSGaW/3wklVrdwCweMYILAsyPFpd4qSqUHK4inmPvgvIHbqjaVUn3kuXLmXUqFH069ePzz77LO1zHnroIYYNG8b48eMZP348CxYsaOZRitOdpqkUbdvP987sxG2PbuSq29dSsGwD1eE4Ab9LNj/ilErOtyNPj6prDAIZLjspSeadEKK5HVmLe9XaHdz26EY0TcHvc5MT8NIpy01FTZQ/rP4QqDv9DvhdLTXsVq1VreSjR4/ml7/8JVOmTDnq837+859zyy23NNOoRHsRjcYpq45iGCYXD+5BJGay6MbhaKqKy6nicjjs+qWaquJzqTidOrqutfTQRSsWDsepCEVx6SqRWF3N20yPMxFmYpj84Lzu+FwqS2aOwDQtNFUl0+uUuSWEaBb163NrmopLV6mpzXd6cO5ISspCzLnvrbRhb7qu0btLRkrZwIDfJetXI1rVxvvCCy9s6SGIdioajbO7tIrClUWMze3Fhd/r2qA+aaZfp+CRjSmPdQ0kPl8WGJFOMjFpX2kl3XMy7Dn19IJx7D1Y1WCOdQu4iVvgcjjkhFsI0Szq1+euvx6990kxrxXtrr3WeXh24SXU1GuQU5+ua+QEvC30CtqWVhVqcrxeeeUVLr/8cq699lq2bNmS9jkVFRXs3bs35b/i4uJmHqloK8qq6xJIRg3plbY+qWnQ4LGaiHlKMrdlvp6ekolJ5/TpmDKnYjEr7RyrjppEYmar3nTLXBVthczV41O/PjfUrUc/vKBnyrWuJmpK2Nsp0OZ+epMnT+bGG29E13U2btzIzJkzefXVVwkEAinPe+qpp3j44YdbaJSirfHUa8+NBTdNPt9OEoHEQmRZqRnayZql8O0TSGS+np4Mw+SmyecD2GFLJYerUhKWktpKFQCZq6KtkLmaXjL8rX6r93TrUfKadyqvdaINbrw7d+5s/3nEiBF069aNnTt3kpubm/K8qVOnMmHChJTHiouLjxk/LtqfcDhOSZr23EtmDEvJ0FaU1EUnWbP0VKxFMl9PTxkeB9VhJwXLNqTMrQyPI6WKCSTnk9Lqr20yV0VbIXO1oWT425HXu7t/NYKbH95oP6/+Ne9UXutEG9x4l5SU0KVLFwA+/fRTvvnmG84444wGz8vMzCQzM7O5hyfaoPp1SqHuNlvhzDygLkNb1bA3S8nHvC4Vl1P/1mOQ+Xr6CYfj1ETTt34vnJVHQX5ug4tfMmG3NZO5KtoKmasNHe16d+T17c3396Rc6xxam9sytkqt6qe4aNEi1q1bx8GDB7nmmmvIzs7mlVde4frrr2f27NkMGDCA++67j23btqGqKrquc/fdd6ecggtxohq97W9aLC8YjaaquF0qGqTULPW5VHTdIYmVooHkqZLP7Wg0pKRbwF1XH762So6myXwSQjQN07SOer2r3zfApatcPLgnoy7sZa9NEtt9arSqn+L8+fOZP39+g8cff/xx+89Lly5tziGJdiBZpzTdbX/DTMS4JbOQTcti/mN1lU3mXzuU3l0zUVW5ByfqVISirF63nekTBqafW5qCmebz5MImhDiVYjGDaDRGdbSulGlj17vrFr9mn3D36OQnq5O7BUd++mqTVU2EOJU8TjVt69tD5TVML3ydgmUbKA6GAYjFzJRbdIv+tIny6m9f1UScHsLhOKXBGgzDZPSQ3ngbmVsup0pVJMYX35Tbc6wmmm4rLoQQJycWM4hEY+wPhil4ZAPTC1/nUFnNMVu9F64soiIUbcmhn9bkeEW0e6GoSXaGkwfnjqQ6Ytq3/r2uxLv9+jFwPm/qr0xpMEQsLhsmURdesnrddqb/fCC9u2VQHTHskBKfS7XnVyRikunSOaN7Zl2Xtww5XRJCfHvxuEmwMkzcMHHqGmWVYeZeOZgzuvrtNaj+mlS/1Tu0nQpLbZVsvEW7ZpoWVTVRcrLd7E9T2eTZhZdw5e1r7Rg4YqmfnxPwoDvkxpEAw4gTyHBx5bhzUqqYzMvPpWsg/fzqFnBz16w8AhluHDKPhBDfUv1mOIEMNzMmDuTRF7bywNyRja5ByVbvSclwONE0ZKUX7Vp5dYTFTyaaA6TL9K6JJE6z62K+zZRbdPOvHUqWz9Vi4xetQzgcZ38wTFVNjCVHzKMlK4uobmR+VUdNOge8sukWQnxrpmkRrEw0w7lp8vncfPWF9nrU2DWuOmKmDT3J9jmP9q3EtyAn3qJdi8VNuzlA/WSTVQsvwbIgEjUTlU00FV1XIKYyY+JAvpOTgdupkeVzSWKloCIUZV9pJWf1DKTMoymX9GPUkF4YRuLWrsupoigwJXkXRW7nCiFOkbLKMA5dqWsGp8B9N42kJhwH4P65I5ly+1r7+clr35d7gykVTbJ9TpxO2R42FfnJinYlEolTXlPXscvnVO3mAMlM71ULLyEcM6ioijW4Ldcl4GbBik0sLxgjMbnCZhgmg/p1JhQx7RKUoWiMWNyi4JHU5jmZfp1VCy9h7v1vJRrmCCHEt2SaFoqqcKi8YTjJe58U81rRbgryc1m18BJ785289j23fidn9giQleGkY4ZHDpOamGy8RbsRicTZc6Bhx657broIXVHshibhiIlpYd+u69LBbydcQr0Og0KQiKn0exwp3U/v/tUIOmZ5cToSJ93J5KXClUUsnjGCsGnaDXOEEOJkmKZFeXWEWNzE51TRVcj0Oll043A0VaXkcJW95qxauyNtYzifS6VwZh5ul4rfI3dwm4NsvEW7UV7TeMeuKGZKQxOAmyafj8fdsN33fXNHgkQICOoSmTJ9TntuLZkxDF13NJg3S2YMY96j72JZFoYF3QJuPB7JDxBCnLh43GR3SQWLnyzigbkjiQMH0iRP3jT5fKza69WRjeF8LpWKcJyAzy09BJqRHLeIdqPxjl0m85Zt5PN9ldz9zHtoqoqmqXTp4E+7UY9ETXxuSTwREKxKJDLVn1tdOqafN106+MkJeFAUBU1VqAgZcrokhDhhpmlRXhVm8ZOJu7I1kUSJ0sbWHU1VWLXwknrVShLrTtRENt0tQDbeot1IduyqLxnjds+ci+jW0cft0xK33ly62iDhEurqm0oVCgGJN3MDv9spZW4d7Q1eQX4uqgZulyrluoQQJ8w0LYIVIaJxk/vmjrTvyjZ6vTJN/vXxPsK11Ut8TpVunXzkdPASyJBNd0uQ3YNoN7K8zrRlk3wulUPlEQqWbSAcMZl9/1vUhON2wmV9Ut+0/YpEEl0p9x+sojRYQzgcx+1yMO3y76Hrij23Gp03qkrnbDduXaM0GCbLK3dNmko0ZjTr5wnR1JKn3F/tL+fmhzfw5/WfpZxyH23deXzNNgzTIifgplo65LY4eatD/S5PFg5NkWYWpymXy0GXenHcmqry5TdBMr118bnJUwNNVTlUXmMnXKZUpfDIhqm9qZ+YayfcGnFicZOYBQXLNnD9+HMpnJmH16WmnTdel0plyEDTFHp29uNyyfLbVJy6xuW/WXPCn/fSveObYDRCfDumafF1cQVVNTH+sPoDBn63E5eOOCPllLvkcFXadafkcJVdEKA0GKZ3l4wWfjWi3a/88bjJruKKBpO1T9dM2XyfhqpCcVRVYf5j79gL1vKC0fafk6cGbpeKrjuIxeIpG3WfS6UiFJXbc+1MMjE3mXCr6bA/GKZDlotIxKA0GGLxyveARA34zke8wXO5VExA0xQ6ZUm5LiHE8SuvjrDq759y3c/OozQYYsIP+7JgxbsUzsyzy+DOe/RdlswYRuGsvES53NqqJn9Y/aF9ZzfT60fXtZZ+Oe1eu99ZBivDaRMSgpXhFh6ZOFUS3bzClAZrcNYuOnOvHMy8/Fz69QqgqSoP/HokT9w2FnftaeXc+98iJ+CmY5Y3ZdO94qVPpOlJO5SM2+7Swc/qddsxYpDh0YnHEg0nnrhtLPfddBGQaI5z5NsyBSgNhsn0OGXTLYQ4IbG4ydxJ59sHQ5qa2KskT7mTISZ/WP0hFdVRMj2JFahTtpfCmXl0qw0xkQOj1qHd/yvEDSttQkLclM3V6SB5i27RnzYRyHAz8/8MZPGTdXc35tWeBFTUKBQs28DY3F5cOqIPhTPzqP5/7J1rYFTVub+fvffcJ5NkIASC3ASRm+SUSwaBgJZrq9hIqQVLlagBJShIrZUAf1CqBLQt1Sp6ECvq8RTrsUq9tCJai2gVVFoUQVGkoEBCYJJMktkzsy//D5PZySQTRBshwHo+JZPJ3Naatd79rt/7e+tlAV63jcpQjD9s3M2OTyu4cmLfU/22BCcZSz8pmVw2qleSVeAd1w/HrsikuR08smg8b394kENBNb7ZRUA3TNSIQbZfFDIJBIKvRzQa7zpZHdZQFJlV80ejNmrUFdFizU7XyirDzPvN5kZ1TC4hkWxDnPUZb5sipSxIsIms1BlBVW2EO3//DuXBMFPG9LaCbohfYC1ft5XaiMHB8hClxflcNLgLasQgZug88ucPqK6Nohsmc+55jR2fVgiN91mKu/4kRJEk7ntquzWHxge64XYqSDSsFxcN7kKO30VYM1jz3A4UOX5RF4uJoiaBQHDiqKrG/vIaSh7YwqzSV3n7g4OUB1XWPLcDo76ZhE2On+J+8OkRSlZvYc/+StLcTtaUjLOy3YpiExf9bYizfiT8PlfKggTRDvzMIKY1FJ90zvJSHgxz/60X43bYkyQknbN9zRqeFF0+kLXPfcCsybnx7IIik+52iAXsLMSu2Kzj2kRXOI9TRid10wp/hoOHntnBtAl92b3vKIuuCeC0n/V5DoFAcAIYhkk4HCFqgNOusGzWcEubrZs6sy7PtRq9RTWdZWvfoqQwwNRxvXE5bOiGgT9NnLC1Vc76UbHZZHp0SmfFnHw0w8QmC1eTMwm7LS4RmDquN06HwurbLiYSNVm2NjnIdjqklB0tx+Z1R9cNvG4btaouFrKzmEMpAuwcv6vFbqizLs/F6ZDxpzlw2WWqwzpp3lP8JgQCQZvGMEzqwhF0E45WJa85980fzaFglNJ1/0hah5YUDWPZ2ncoLc5nf1k1iiKLvaoNI6JL4sF3B7+HnPZeOvg9Iug+g8jwOvnt/NEM6dcJExOnzZ4yUHLa7En/l7AWzEhzIEkSatQQ8qOziFhMtzy7q2tVqutdTZrOm9pIy00rdNPEJoHLLnOsJib83wUCwVcSDkc4VhNFjerWmtOnm5+igoHUttCd0u2wW+tOdjuPkEO2cUSEKTijiUZ1yoIqZcdqOVYVOW53r8YkGg/4fU5kGXTdJMMrFrOzAVXVCIYi6LpButuGGjWOM2/MFptWfFke4nClSm1Ux2aTxGYoEAiOi6rGCylddhtavUyyTzc/V13Sj7UbPjju/hVv7iaTneER2e42jgi8BWc01eF4ptLvc/Gb/33vuN29mna0VGyAbIIpocgSVbXRU/AOBCeTSETji4oaSlZvoSYc5VBQ5e0PDia1hE+QaEqRqhuqYoP1Gz9h+aNbUSQJv1foLU8HRMdLwakiEtHQdY3amB4/MTPi68mUMb2tgu7j7V9xyaSQmJwOiBESnLGoqmb5L5vEMwPhaCxlMa3XKSdZMsUMndJH36VwUn/aZ7hId9uoVsXmeqZT1UhSkuF18faHB+nfMwuPI3U3ynA0hj/dUT93TBRZwumQkSX4eH8QgKhu0l5shqcFouOl4GRjGCZVtRESSsbqmhiVIZUde46wYEZekkHA8fav3ftCtM8QphCnA21qN1i5ciUvv/wyX375Jc8//zznn39+s/vous6dd97JG2+8gSRJzJo1iyuuuOIUvFpBW6c6HG2Wyb7xnte5/9aLm/me1mnJUpOdn1YQDKmo0bh3KiA03mcBiQs1AN0wuHBgZ0oe2MLdN42KF1I2mjdIJpGoQSRqoMgS6W6F2oiBTYJpS14G4nNOlsS8EQgEzUn0mUj32YlFQVEg3ePA67LRtaOPY1VhsjI8PHTbGHQDnn19D5df3KtZN+X3Pj5C147pZHidp/otCU6ANhV4jx07lquvvprp06e3eJ/nn3+e/fv3s3HjRiorK7n88ssZPnw4Xbp0OYmvVHA6oOsGUU2npDBAZUhl3rRB3Lt+Ozfe8zozCwZw4QWd0Q0Dw5CpCkWbZRGWzxlJJKrjdchETVNYTJ4FJCQl5cEwXreNmGZwz7xRmKZJbcTEbpcgJqMoEAzFms2ZF7fsZfyw7kA86J43bRA2UVQpEAhSUFUbwWaDYFWUg+UhOmf7OFgeom+P9igK2O22Zja3RyvD2GxR/OlOHHYFDbigVxaZPpfoinua0Goa73/+85+sW7eOLVu2NPvbmjVrTugxhg4dSk5OznHv89JLL3HFFVcgyzLt2rVj3Lhx/PWvf/1Gr1lwZqMoMk+8tIs0t53u2Wl0auflzhtG8Mii8Ywd0oWS1fGmBDV1sZSV4hIS7dPiBXE+l1O43ZwFuOslJdl+Nwqg6xCJ6OgaOJ0yR6si8WY4mplyzvzwu73xeRyUFo9k9pRcMn1OfG778Z9UIBCclRhG3GkrFtPo26M9XpeNvj3a43TI6Dop15hzsn30yPGR7nHgc9vJ8Lpol+EWQfdpRKtkvJ977jmWL1/OkCFDWLt2Lf3792fVqlV4vXHT2oceeohZs2a1xlNx6NAhOnfubP2ek5PD4cOHm92vurqa6urqpNtS3U9wZmLU622vuewCvC4lpQfzr+aNwiZL1IS1lJXiMc3gUG2UHP+37+su5mvboCasYZoGK+bkUx3W0HSTP/1tT0PXUp+dqeN6Y5pmyjljU2QcdhmbIqHIMukeBw5HmzpY/I8Rc1VwutCW52o0qmGaJk6HnDKz7XXZUq4xmm6iRgzapYt+I6crrbIjrFmzhrVr15Kbm4uqqixdupSrr76aRx99lPT0dEzTbI2n+Vo89thj3H///V/7/1RVozocRdcN0anwNCWhm0u0in9k0fhmmYPN7x/gR2N7UxZUcdoVS16QINvvRtdNqxmK91tufPJN56ug9YjFdFxOG7WqxoIHGjbBBTPyAKy58J3zOxKJ6SnnjCJL/OJ3b7DwmgDntE87I9cOMVcFpwttca4mGuQcDqp4XXYMI7U3d2lxfov7kiyZIug+jWmVXaGsrIzc3FwAXC4XK1euZOXKlUyfPp1169YhtWJxUU5ODgcPHrSer2kGPMGMGTOYPHly0m2HDx8+rn5cVeNWYk0zo12yzswN9EylqjZiBd3TJ/YB4M4bRiBJEq+/d4AnX/6YcYEeqPXNCHLPy2LBjDxWPLYtKdh69vU9llfzt803ma+C/xxNMwiGVDTdiB/Vms2Pd1c8to07bxhJYECO5ff+p7/taTZnSgoDKIrEnTeMoJ3PhdN5Zq4ZYq4KThfa2lxVVY0vj9aQmeYkGtNI9zha9OZWFFLuS5u27mPSqF6n5PULWodW2RmysrLYt28fPXr0sG677bbbcLvd/OQnP0HTtNZ4GgC+973v8fTTTzNhwgQqKyvZtGkTTz75ZLP7paenk56e/rUeO+H53OzKc06+CLxPIxL2S9Mn9mFo/07NjvAAnA4ZE5P5Vw4mVBfjvV1llBbnE9MNdN3k2df3sGnbgfqmBN++du6bzFfBf4amGew7XG1952cWDCCvf6dmm6Df50LTdew2iaNVKtl+D6G6KC+9+TlLi4ajyGCYkOaxE4sZLH7oLUrn5JN9hgbeYq4KThfa0lxNnKa7HDYkGRy2uLwkkdn2+1xMGdMbn8eOGtUAiZfe/DxpX9q0dR+jB3fFnybcS05nWmVnGDNmDC+88AI33nhj0u1z587F6XSyatWqE3qcO++8k40bN1JRUcE111xDZmYmL774IjNnzmTu3LkMHDiQgoIC/vWvfzFhwgQA5syZQ9euXVvjbSRZiSUoD4bR9ZMvlRF8c+y2uDPFxUO6sujBN/H7XBQVDMTnsVMZUvneiB4crVT5w8bdTMrvSdfsNHqek17ftMDgjrVvJwXqouPgmUl1bYTKkGpdfPXt4ScSTZaQjMvryrQJfdANk47tvEl67/UbdzPnnteseZIh2zEUSawZAoEgCU0zrNP03POymDahD6WPxS/4//lJGaU3jsQ04vfTDdi68xA+j5NQXRQksCsysmQwaVQv/GlO7HblVL8lwX9AqwTet912GwDbtm0jLy8v6W/XX38955xzzgk9zuLFi1m8eHGz2x9++GHrZ0VRuOOOO/6DV9uchIE9SCwtGsb6jZ9YzS9OVsZT0HpkeJ0svCaAWW8BeNUl/azOX8MGdOS6Dhfwh427ufyi81j1h/etIHvetEH4053cfdMoojEdRZZxOWUcDrHInWkYhkkwFOHBZ3ZY86KD383+p/sDAAAgAElEQVTm9w9Yx7u552VxychzWbj6zRb13tf9IO6lq9hAAR79yy6xZggEgiSCoXhx/8yCAfQ8x49uGJQW5/PPT8rYtS9Izy7+JInrghl5vLH9C677wQW4HDKmCX9//yAXDuwsgu4zgFY9C507dy4//OEPufnmm7Hb7VRXV7NkyRJ27drFpEmTWvOpWo2mhXiJAOzxF3cRDKki43makdDsZmW4iEQNpk043wq6AcbmdScYijA2r7sVdEP8ZOPe9duZPSWXmGaydsMHFBUMZO2GD7hn7mjapQsP7zOFWEwnWBNheSNZ2di87tbGF6qLsbRoOC6HYsmUoEHvvbRoOJu2HUDTDbxuG5GoQVUogu5xWtnwTK9YMwSCs51EIaWmG8wsGECW39tM+pjbO5tFD76Zcp2RJQk1puO1K/TvmSUkJmcIrVoW+9xzz7F7925+9KMf8fTTT3PZZZeRnp7Os88+25pP06o0LsSDhgDs1quGUjonXxRWnkYkNLsLHtiCGtV5+8OD5GSlJcmHOmS6SHM7yG7npqhgIKXFI1lYGKBPNz/lwTAuh42MNAcLZuSxdechyoNh1IiG1qSzpeD0JBbT+XdZiIrKcNK88Hns1u+bth1gzj2vEdN0/D4XCwsD1jzx+1wocvwk7GBFDZGoQcnqLRimhNchUzonn27ZaWechaBAIPh6GIZJdV3cvcRul+l5jr9ZDdn6jbuRJJh/5WBrH0r8TVEkFEXCa1eojRp07+gT2e4zhFYNvDt27MgDDzyAYRgsWbKE0aNHs2zZMjweT2s+TauSKMRrTHkwjCRBtt8jgu7TiMRxXnkwjGGYPLxhJ057Q8v4Pt38GCZs2roPTFi74QNKVr/J2g0fcNUl/Rg2oCNqVCPN7eCpVz4mMCDHCrCCIfXUvjlBqxCsiVC6biuANS8AQnWxpN8BZEXm6kv7Jc2Tqy/th6zIzJ06iPUbP0E3TEqL80n32amLGmT7PSLoFggEVIZUotG4c5YsSc3cS/p083PZqF4sXP1m0j7Up5ufbL873gtAkXC7nWT7PSLoPoNo1cB7165d/OhHP6Jr166sXr2at99+m1tuuaWZgX1bIlGI15hsvxu78Mg87dB0k9zzsnjg1jEosmyN48L6ToRTxvRm5ePb6HduVpLMoDwY5r6ntnPNpAvo2M7DfU9t552dZWSkOZh/5WDWb/wE7SRYCgq+fXTdYHygGx38bkpmBKzv/qvb/s2CGXnW79l+NxJw7/rtzU7DME2eeCkuRVNkKX50XBHGFLJugUBQT0yLF+vfPO07xDTD2pMSTBnTO0kGmdiHpk04n5LCAB6nQkwzRUfKM5BWjS4LCwuZMWMGq1ev5rvf/S4bNmzA6XRy2WWXtebTtCoZXieLrx2WtOEuvnYYGd4GLVW8EEulPFhHMKRiiCCsTeJ2Klwy8lwqKmtBint3R6IGHf0uSovz6dYxLjtpLCtIUB4MIysSDofCx/uD9fZOTgwzPvY2sfidEbicNi4a3IVYzKAuEmP2lFxKi0cyNq87L735ObOn5LL6F2MoKhhIZU0k5Tw5WqVa9R9up8wt04fw3N8/RRLLgkAgqEeSJNLdNrIyPcRiBv/8pIySwoaL/Yw0R8r15ZwOPqprVKIxQ9SXnaG06pno//3f/yVZ+3k8HpYvX86rr77amk/TqsiyRPdO6fxq3mhimoHdJpPhdVpXmamKLxdfO4zundLFlWgbI6YZhGojpKe5KGnUebC0OB/FJqEbEtl+tyUraNoRzCZLrHz8XbL9bhYWBnC7bNgUmZJ6ba/g9CemGTidCrpm8ufNn3HZqF5JzjaT8nvy2Is7eWdnGctnj0w5TzrUzykdnXDE4E9/28O0CX3FHBEIBEDcs9vpkKmNGARDEQCe2rSHqeN6x9cOoyED3nR9+fJIiHbpLrwu0TX7TKVVM94t+WmPHTu2NZ+m1ZFlCb/PRbbfg9/nSgqoUxVf3vn7d+rtBwVtBcMwMUzIyfJRGVKtIMjvc4FkEono7NkfpKQwwKvb/s3cqYOSTjkWXRNAM3VumT6EFXPy2bm3gmjUICvTTY9O6aI972lO4tQKTCqrI9SoMa4Yez7Pv/EZRQUDWXljPvfOH43P6+C6H1zAuiUTyEx3MG9a8jyZO3UQDz/3AYeO1vLrJ7ajGwazJueKOSIQCICGRjl1qgYSZGW66Z7tpaQwwFOb9nDdXa+w+KG3UGMaP//pkKT1paQwwLmdM+jWMV0E3WcwYmS/gpaKL2PC5aLNkOpU4q7ikcjEC1owJWwOyPJ7WL9xN2PzuuN12VhaNBw1quF22jAx8TrtxDST//nLLjZtO0Be/xw6tvOIk43TGE0zCEeiaAbEYga6YeJ12XG5FKpqonxveA9cDhs5HTwcDjYU5y4tGsaDz+ywmi/50514XXZsNpmxed0tjbdumCgKIugWCARJjXLKg2EmX9STH4/tTXVYY/3G3VYjt1BdjMdf/IjZU/6LZdePwDBMjlaFeeiZHdwyfYhYT85wROD9FSSKL5seB4niy7ZD4lRifKAbEy7sjqaZ8S6UmPxx0yfs+LSCVfNH4/e5eGdnGe/sLEv6/9Likaz6w/uUFucDWK3ibYokgu7TlIRXt64buJw2jlaqVqe4yRf15NL8nthkmWy/l2df38OVE/pam+WiwqGc08FHeTBuObi83gUFYOWN+Sxft9XKTm18ex+Tv9v7FL5TgUDQVmjsrDUuryuTv3sedZF4ki7V3nPdDwxuWNEgxRXNt84OROD9FSSKL5tqvBsXXwpOLTEt7lRx0ZAuHK1SWfHYtoYGBTMCXDKyB+VBlcqQmvIiKlQXi7f5NgxMGo78hGb39CTh1Z3YAFf/YowVdI/L68qoQV2adaNUFKygO8vv5csjodT67kw3Dy0Yi12R+aK8mu8O7SbWAoFAAICmN5yQF07qz5HKeCBeVDAw5Xoi1/cEaNxQRzTJOfMRgXcKEi3kE8WWXbN9LRZfCk49dpvMxUO6EtMMK+iGeCBV+li8tXfJ6i34fS7umTcKLWZaxS0ep0worPHwwnG4nQpqVOc3N4/G63KI477TEMMwLa/uxDyQJayfJ1/cmzvW/iOeyZ49nI7t0uKnIzqsWTQGBQXdMPB5fNxx/XCW/vc/kjrahqMab/3rIBcN7sq552SKtUAgEABxbXfTgsmEo1aiRfzRqjp+cf+bVgG/TYk33dJ1E0WR8Kc5hV/3WYAIvJvQVC88s2AAF17QOR6oKTJpLrvYaNsYGV4nZZHapAALYFxeV66c2BdMWDZrOD6vnfJGOt5EhiGsRvnt+n9SUhigukalS3Y6GWki6D7dSHx3XQ4laR7oRkNWSZFh6rjejBiYw+Gg2qx9cywWsTbGksIA/69oGDW1MTr43dzzxHsEQyp3zR5pFWQLBIKzm8ayNoddpmRGgOpaFSQoS7HfrF82kR17g/i8Dlw2idqIiT/NKYopzyJEdNGExi4m0yf2oX/PLEpWb2FW6auUPLCFf5eFiMX0U/0yBY2QZQlFkTHMhm6E4/K6csW43lTVRChZvYUbVr6GGjGatewtXbeVju3SrJ87d/ChC5/205LEd1eSpKRGFc++vodfzRvFI4vG4/Pa6dnFT10Lc6F9hifpd5fdxqo/vI+ExMf7g5QHw5imKfx1BQKBJWtDNlFkGYdNpn2miy7Z6URaWGNqIwa7Pq9AAqrqNNI9wjbwbEME3k1o7GLy3aFdU35xgjXCSrAtEY1qeBwyNptkdR+cfHFvdJ0k6UnTlr2Ape1O/GyaJoosEYloJ/19CP4zEt9dp0NOalQxYVg31IhORVUYNWKwfuPur5wLid9N06SkMMDeL4NAovhJFhulQCAgWBMh3WenOhTji/JqyoIq0agel68dZ425NL8nuz4/it0m1pKzETHiTUi4mOSel4VhmKm/OLrIiJ5qEjr8aEzHMEy8bhtupw2Xw2Zp6hqPX59u/hYbFiiynPTz2x8e5MKBncl2iq/H6YKmGcgSrLt9PNGYgdcVnwd2u8SxqgiLH3rLOu6dO3XQV86Fxr938LuYv+rvovhJIBAkoesGiilTum4rv7l5NOGIjmGaSXtKqjVGN0w6Z/tw2EXu82xERBZNSLiY2BTZOrJu9sURdj+nlKY6/DtmDiMnKw1JkrDbGsbGblOs8ZsypjcoZlLXsN37jtI520fZsRorqKqqVXl4w07y+uecwnco+DpomkFVnYqBSXVVjNJ1Wxkf6MbFQ7qiRgy8bjvjA914d1c5U8b0jluBSrB05oXc8fDbSfpLp1Nm+sQ+vLJ1PyWFAZBNdN1kTclYJEnC6VRE8ZNAICAajRdT2u0Sv755NEcqVQ6Wh+jbo71VE3b33Hx+cV9yHYliB2ISpeu2smJO/ql+G4JTgAi8m5BoIV92rJbX3ztASWGgWXGEyHidWhrr8Pt085OR5mLxQ2+Re14Wl+b3TGpekBi/Xl3SqQ7Fmo1ljt9FdbghO3r17RvrsxLi4up0IRhSMU0wTKyge2j/Tix68M2ksc4fdE6SS8mCGXncfdMoojEdRZYpO1bDz1bFXXAuHtIVp0PhSGUdt/z2DSB+0S02SoFAAFBZG8XrlDkUVOnkd5HtjxdbNy3YXjV/NLVhzVpjPE4bNptMeTCMJuqJzkpE4J0CWZawKTKvbN0PwF2zR2KaJpIk4RYZr1NOQsvbp5ufW6YP5pE/f0hRwUC65/g4Wqkyb9ogzungRdfjuu7fzh9NONogP9j7ZZC71r1L6bqtlM7Jx+W0EdN01IjBsAEdmTahL26nOAJsy2iaQTCkoulxTT6SiWmYzCwYQM8ufkoe2NKsNmPV/NFJJx5flFeT4XXyx02fsGnbAeuxdcNg8UNvcecNI/jjK58AwttdIBA0oGkGigy1UQNZMomZJrGomXqPKc7n10++z8f7g9bF+/++vDvepE0keM5KRHSRAsMwrQKtV7buZ+byTSx+6C1qwrF6g/w6VFUU350q7DaZYQM6MufH/4WiSFw2qhdrN3zA9aWvsmHzp3Rq70HTTUv/HayJUvJAvTPN6i1k+b0sKhxq6fU1zaDkgTfRdJNZl+fSPtOJ2ylcK9oqmmaw73A1z7/xGTHNwMQkVBsj3W2je+cMdL15UdPN075DbVijoirMvkMh1jy3g/Q0Fy6nnBR0Z/vdSJJEyYwADofM9ZNzWbNwHCvm5NOjU7rwdhekJPoNna6+6f8JTi2RSBTdiGu8O2S6CdXG2F9WzdEqlf1l1XTO9jXsMYbBVZf0Y9iAjsybNgjTNNnxaYW4kD+LERnvJjTWD+eel8XtM4djUyQUWeaFLZ/x7N/3WtmvLllpoiL5FJDhdVJUMJCYZoApcd9T260M+BXjzufw0TruXb89qfGJ3+eyWoAnshAJvb6mGyydeSF/+tsefjy+D+1cLhFgtVE0zeBYSEWW4PsjzuUvb33OuEAP2me6UDWTmroYPo8jqTajTzc/HpejWYHl+o27mXV5brPOcW6Xgt0m43XYxfdbcEI47AqX3bLha//f878u+BZejeDbRFU1DjXy5163ZAKVoQgPPrMjac/p3a2d5YL0/BufMevyXNSYhqLIrJiTj98n9pmzFbGrNKGxfnjTtgNs2naAbL+b2VNyefbve4GGo+vSOfliYz7JRKMatRENuyIB8epwv89FUcFAunXycaiixloAAVbNH40aMbhl+mAUWcbllJm+5GV0w4gX09llVNMk3elgx6cVXH1pf7EYtjFUVaM6HI07CMgyXqfMwSNRnHaFy0b3IhYzCKs6iiyx4rFtjA904775o6mNGJasxOWUk6Qn9z21naKCgeiGaUnJFFnG7ZSJxAzSXMJbVyAQJBOL6VTXRZNshjXdoEeOL0nG5nLKhCO6tceMzeuObpikexxkiiz3WY/YWZrQ2Mc7QXkwTJrHwcLCAD6PnVBdjGde2yNsBU8y0ajG0ZBKWNW469H4wrfyxpFcfWk/7l2/nflXDsblsFnj9+SyiSk7VT65bCJqxKB9hpM6Vecvb+1lUn4vFl4TIMMrCmfbEqqqUV0XtTa0mnCEmrDE7/74T/w+lzX28bmQT3kwzCUjeyRlpBqP+/QlLwPx73RGmgNFkbjuzlfI9rspLc4nHNFJ94gucgKBIBnDMK21qHGMkOZUUq43OX4Xf3v3ABcN7mKtNZLI6QgQGu9mJHy8G5Ptd+NzO1i74QNKVr/J2g0fcPWl/YQH50kmFI4hIVlBN0C7dLcVeIXqYqhRzRq/ljpVqhGDL8qricXihXnP/n0vumFyTvs0ZFHs0maIRjW+qKihZPUWfv3k+4TCEdI8Tmv8b5k+2Bp7gKqaKNl+93HHPUG2343f52TvF0HrPjHdwGZTRNAtEAiSSEhQDSN+MrZm0RgeWTSeNSVjqY223KHyla37UWQZv8+JxyHjc4vEjqCNBd6ff/45U6dOZeLEiUydOpV9+/Y1u8/vfvc7hg8fTkFBAQUFBdxxxx2t+hoSPt6J4C3b72bhNQEefeHDpC/Wveu3Y5oi432yMAyTylCEY9WqNQ6/uXkUeqMmOc+8toc+3TKtroXH6xyWKKwLR2Px6nJFEgFXG6OyNn6k6/e5KJzUH4fNZhVO/nfJGICk8X3mtT3MnTroK7tSZvvdLCwM4HHZuGvdu9ZtNkUiU1iFCgSCJlTWxCWomm7iccrU1umUrI4X7Kcq5k6sNyWFAdxOGbfLRlQzRWJHALQxqcnSpUv5yU9+QkFBARs2bGDJkiU8/vjjze53+eWXc9ttt30rryHh4/2reaOJaQZ2m0xMM3hnZ1nS/eIZMhF4nyyqaiMsX7eV0jkjWf2LMchSvEFOKByxiuM+3h8kXN8SvKhg4HG7E+bUe64uW/sOJYUBEXC1QRIb2k0//g6r/vA+d9+Uj67Dfy8YiyJL1ISjSeP78f5gvIhpcm6L476mZByKLOF2yty8arP1t5LCAC6HIjZGgUCQhGGYaJrOLdOHoCgSdU1O1I63z3Twu4hoBpWhKB0yhbZbEKfNBN5Hjx7lo48+4tFHHwVg0qRJ/PKXv+TYsWO0a9fuaz9edXU11dXVSbcdPnz4hP5XlqUkm59j1WrKL5ZT+HmfFOLHe/CreaM5WpWspVswI8BdxSOJxeItwwF8HgfPvLaHO4oCKRsgeZ0ynx4MkZPloXROPoos8cWRGrp3Sj9lgdd/Ml/PRAzDRFHiG1r3zuktjv3i64bxt237GRfogSLHL8a89VagTcfd5ZSpDWsgwe+f/4ilRcNRZNAN8LoVvC5hIXkiiLkqOF1ojbkaqotQXRfj10++ZzXcauyY5HW2vN7sOxSicwcvTruMzyOSO4I4bSbwPnToEB07dkRR4sGsoihkZ2dz6NChZoH3iy++yJYtW+jQoQM33XQTgwYNavZ4jz32GPfff3+rvLbMtLj8JOF2ku13s/jaYSJLehKIF7REqKhUcdqVZlq6N7YfYPTgrk0CsjxMTOau2tysaYrXKVNVp3HfU9tZMScfUzbRdbjz9+/wq3mjT5mvamvO19OdhJ7ywOFq7p6bz9FKlTS3vdnYr3hsKytuymf04K7csTa5I2VOO3ezcZ+7ajOlxflQf1A1557XgPhFdOmcfOFmc4KIuSo4XWiNuRqJNcpwS2ZShnvKmN489eoepo7t3Wy9OVwZJtPnpKomQmaaS5ymCSzaTOB9okybNo0bbrgBu93Om2++SXFxMS+99BJ+vz/pfjNmzGDy5MlJtx0+fJjp06d/7edMJT/J8DrFF+lbwjBMqmojxLR4Ftsw4q3Al80a3kxLNy7Qwwq6IBGQbaO0OO5wkXCxSLDyxnzS3I64VEgzsCkSTods/X6qaM35erpTG47gdtro3c2PrsPB8hC9u/mtMZ4+sQ8XD+mKaZqY9XOj6fgvLRpuBdYQH/eSwgCaofP/HvoHC2bkATQ0shAX0SeMmKutRzSm4/gGJ6ff9P/ONlpjrhr1dUQ3XZFLZSiKx61YGe7OWV7O6ZDG3FWbm52IJ05TgyGDdI84TRM00GYC75ycHMrKytB1HUVR0HWd8vJycnJyku7XoUMH6+eRI0eSk5PDnj17CAQCSfdLT08nPT291V5fU/mJ4NuhcQMjv8/FzVcOQpGl+mIVmkl+FJlmwXiisCWVPMjvi7cIz/a7OVgRl5fs+vwo2X439lOY8Wzt+dqWaXxh1fQiNhbTKau35vL7XCwpCjCgVxa6YZLtdzM+0I2h/Tux6ME364ssx6Ycf6XRUGb73WRluHE6ZX5afyGWuDibNsHE41SwiyDmhDmb5uq3jWi88+3SGnPVYVeYfFFPBvftyG33b7GKu1fNH01tWLMC88YkuiJjQtcOaWJ9ESTRZs5W27dvT79+/XjhhRcAeOGFF+jXr18zmUlZWUOR465du/jyyy8599xzT+prTaBpBkeCdRyqqOVIsA6tUcbUMEyCIZXyYB3BkIphiELME6FxA6MpY3pz+GitdbT37Ot7WDAjL8lxxtaC/aNumMybNijZnaYwgMtpY8enFdz606Gs3/gJMc3go8+PsfjaYcLD+ySQuLD6+b2bue7OV/j5vZstmy6AYE3EymDfevUQKmuiVFSGeeGNz1gwI4+Lh3RtUtgkpRz/xNct2+9m/pWDufuJdzlwuMa6T8I+sE7V8AqLr28d0RpdcLricdiYNLonMa0hwL6+9DXUiMEjf/6wxT1IUSTsdhmns83kNwVthDY1I26//XYWLFjA6tWrSU9PZ+XKlQDMnDmTuXPnMnDgQH7zm9+wc+dOZFnGbrdz9913J2XBTxaaZrDvcHWzgoouWWlJXfb2fhnk4Q07WXztsFNavHe60LiBkc9jx+e146ovXvlobwXtM131Wrq4B/fufUebFbYsmJHHM6/t4UBZDcuLR3K0SqV9hos0p0JtxGD2lFzaZ7oIhlQOVtQwaVQvsjLcYmxOAo0vrCAeAN/5+3conZNPpteRZM0lIVF+rM7qRBqqi/HjcecnZZeqaiMsmJHHise2JRVdhqMxSotH0sHv5p4n3iMYUgnVxaz/S5xw5LT3inE/CYjMruB0RFU1IppGdU0Mn8dunaJOn9gH3Yi7nZ3XJTNlcaXdJiOWFkEq2lTg3atXL55++ulmtz/88MPWz4lg/FTQ+IgcYP3G3UkBRHWNyhfQ7As4s2DAKS/eO12wKQ2FK52yPCiSRG1Yw+Oykde/E6uf/hfv7Cwj2+9m2fUjuOfJ93ly2URKi/OJ6Qa6bvLs63vYtO0A2X43EhJOu4LDJlMRipDudXLH2ndYUzKWuVMH8cRLu7jlp0NE8HWSaKkzbEVlmOraKNl+V70kyIVpmuS091JUMJBnXouP6bQJfZIkRGv+9CE3Tv2vFse/tDifYEilpDDA+o27gQb7wHY+UfAkEAhSo6oa1eEoiixRGVLx+5zMmzaIfQer6N8zyzqJffLljyk7Vhd3SVIk7IqMooAa0eiQ6TnVb0PQBmlTgXdbprH2OBFUz506iMpQlI/3x7vfdclOp2T1lmYdrBKFfqeyeO90wDBM6tQY86YN4t7123HbZA4HVZY3upBJfOYzLu2LXZFZUzIWNWKwe99ROmf7ml306Og8+MwOgiGVhYUBviirtjxWn3hpF8GQik0EXyeNRGfYptr7qpoor277N7Muz2V58UhcToVIxECWJXqdk8HCa/N44sVdxHQjKbsUDKnIkoTLKVMdjKa09Jo9JZcOmS6un5zLdT8wsCkyfp9LuJgIBIIWqQ5HAZPKUJS//mMfhZcNoEeOj07tvJSs3sLUcb2ttWjTtgNWobbsUTA0GU03CYWjItkmaIYIvE+QVEfk9z21naKCgSxftxXguB3z4p3xZIIhVTijtEBVbYSla/6B3+di3rRB1EYMK+gGyD0vi3bpLm6ZPhhZlnhhy2c8+/e9rCkZyz1Pvs9NV+QmWTo5HTI/XdrgarJ83VZmT8m1vLz7n+tn9OCuYmE8ifjcDhZdE7Davicupl5/7wCXjepFyeot3Dt/NIeDKpvfP8C4QA8MWcdE5rrL+jNv1WbGB7px1+yRmKaJJEmoMY3asMbeL4JJ4//PT8rwujpwx9p3eHjhOEzTxOOykZEmxlsgEBwfr0NGjcX3oKKCgYRqIqgRHa/LRnkwzO+e3tFszzElk0hUx+WAP/1tD1dO6Huq34agDSIC7xOkpSPyjLS4TVAii9pSB6vF1w6jTo2xdE2D37DQfSeT+IzjMgOoqApbn+W4vK5cMvJcbn842a85VBfD6VCsbpZqVOfZ1/ew49MK7po9Munxy4Nhzungw+tWmLtqs6XJF5nPk4NhmBwoD/G/L++mtDifiqowVTVRnnhpFz/9fl+ef+MzigoGUhcx2Pz+AUYN6sIda/9B7nlZ/PC7vTEMk19eP4KnX/2Emcs3WY9bWjwSV6aNpzbt4XdP77Buz/a7ye2dHddzKxKyouCyiyVPIBB8NapmEonF9ySfx077DA8lq7dw1+yR8bXlvCz69sgipukYJricMpIEDpvM4y/uYsenFVw58VS/C0FbROxCJ0hLR+RZGW4eWjAWXTepqlVb7JTodDj52W83J2XMz3Tdt6YZBEMqmm5iU6Sk4/1UlnKJz3jKmN7WaULiM598cW/Lr/v+Wy/G7bCjGwaFk/pzpLJpR8M8fjz+fLbuPJT0erL9bsqO1fL//vsfQFyLv2JOPi6X+BqcKKnGVJalpLH0uR1U10WJxnRkWcLrkKmNGoBJmtvOdT+4AEWRyMp043HZKZkxFCQpfrssoxsG4wI9ePylndw2YyiyJCddcJUUBrhyYh+uu3MT2X43oboYe7+sTPnd27rzEAuvCfDgn3Zw/eRcnD4x1gKB4PgYhommGxysqLHWmPYZ8SDcbpO4c/YIaupiSY27SgoDpKc5+OxAFTs+rWDu1EEgcmqCFIhd6ATJ8KbuXolkcsOKV637LSoc2uC6oUhkeBzY7QoVVWHmXzmYUJq5N4gAACAASURBVF2MZ17bw8f7g2e07rsl15ce9Rn+pnr5xdcOo0uHNFbelE+sPsuwdechy7Ei4dd9/60XE9NMlq3dgt/n4tarhqRsoFI6J58LemVZgXvCVm7dCx9Zr7E8GEYTNo8nTEtjmuaxs/a5Dxib153sdm6OVassr5eSrL7tYqprTdZv3M3lF53Hqj+8j9/n4upL+3Hv+u34fS6mTTifTu29cdvALXuZNTkXWTa5bFQv3A67FXRDQ93E8uKRrL7tYqJRE5/XTq9zMtAM3ZKgxAN4nQ5+Lw/+3w4+3h/kugIx1gKB4Pgk6rncThufHqhkYWGAP2zczazLc1l928UEQ1HS3HbLSQka1XPNyee8rhmUFuez5rn4xb5A0BQReJ8gLXWvrKgKW8HdTVfk0vMcv6X3cjlkTJOURZmJwj7DMDEM84yTmwRDarOAOJFhttnkZnr5J/+6ixmT+hOsjiAR92YODMjhqVc+pqhgoOWV6nbYWbY2XsBaVDAQrQUJUEwzUBSZX14/AiSwKzJqLJZ0v2y/WxRWfg1aGtNls0Zw2ahe1inF2g0fWPdx2uzcvmYLRQUDraB77tRB3LE2ruW/6pJ+3PfUdqaO6813zu/IdT+4IJ4hjxg8/8ZnXPuDC1KOr6abOG12nA7QNYNH/vyB5XaT2Cjf2dng+S/GWiAQnAhVtRH+9u5+fjC6FxcN6UqoLsL3hvfA5ZQBO6HaMGa9zrsxVtMcYM/+Y0yb0PeMPc0W/GeIwPtrkKp7ZbrbQUlhgIPlITpn+yxXk0Q2sEOmK2VR5uwpudhtCms3fMCcK77zlV/Q43X7a4toekOzgT7d/EwZ0xufx45hkrLT19i87pQdreOv/9hH0eUDKSkMYBgm7+ws452dZYzL6xp3KTGSfb5NmnezzPa7MU2TZWvf5vaZw7l3/XaCIZUFM/K4cep/cf9T/7Is5sTCeOI0HtME5cEwkoylz+7WMY3c87K4cmJfMOMFx7+8fgR1Ec0KtGvCUevC6b6ntjOzYADdczIszfer2/7NDT/M5bJRvdB1M+X46rqJLBkoyDzy5w+57gcXcM2kAewvq6FdhotpE/ry+cHqpO+iGGuBQPBVxLS41E2SJOw2qK6Jkpnm5Egjh63VvxjTQj2XBBL0O7e9cE4StIgIvP9DXC4bXbLSSPc4jmsl2JjyYJiO7by8+a8vufqSAagRjSNaXYtf1FRWhm29MNOmSJYfcyKrmXjti64JMGxARysjOS6vK316ZKLFTG6YkouhgyRBZprTWtw2bTvAld/rC43axofqYrhdiiVHWVI0zNJ+K7LMkqJhVNVELLvHFY9t4/aZw7n1qqHIEmJh/JokxrTpZuOwy1bG+7YZQ7liXG+qaiJJTW1K54zklp8Owaw/3cn2u/F57Ph9Ljr4vSx+6C3rvr+ZP5pIxLAKk387fzQ3r9qcpOHftHUfk/J7YZomsy7PxeWUmb7k5frnyqdLVhor5uSjGSY2WRJjLRAITgi7TcZhl9F1g6pQlAef2WGd5DXeY0qL84loMYpXvm6tS3Z7vMZFrDWC4yEC71bA5bIRrFGPayXYNFgJ1UUZ0q9js+KMHp3Sm31pW+r215YLM9M9DstmSZIkxge68eTLH1MeDHPXo1stx5Efjz8fn8fB0UqVp175mKnj+7LisXhW4bc/u4i5UwdZQXtZRR2Z6XZKCgPEYhrtMzzohsEfN31iWdAlZChWJ9GOadZrKg+GkaV4UN/BLxobnCiJ0xabTW5WwFg6ZyRG/cVQYkxjmsGKx7ZZ8hEkk0hMJ1gd4d712xkf6EZJYYDKkMq0CeezfN1WZhYMoOc5frxOmUNBtZmO/N75o6mqjWGzyby4ZS+jB3dNCrZvmT6EYQM6Mm1CX9LdDlwumyiaFQgEXxuPw0ZNJEo01mBn6/PYWVI0zKovarw2rV82EVUziGoGDhFvC04AMU1aAcMwLSvBxiQydgsLA9bfsv1uSmYE6OB389QrHzfLkAdDarPHb8nKsK0WZsZiOgeO1FCyeguzSl9l0YNvMrR/J6ZP7ANQXxku85OJfXE77GiayYrHtjE2r7sVdAOUHwvz/Bufsez6EZQWj8TEJFSrkeN3WUG3IssMOr8DdREjpf44Gm34jLL9bgwzntEQNEdVNcqDdRyqqKE8WIeqatZpy8/v3czVt7/M5vcPsLx4JA8tGMvdN42iujZGyQMN42yaJrIEU8f1pmeXeCCNKeGwKdy7Pn4BNSL3HNZv3I3DrtC7ayalxfl0z8kAoDaaehzrIgZL1sTdaCbl96Kj38WytVut+/z6yfeYNTmXLllpIuAWCATfCMOIN73RGlkJAvHTVYc95dpUGzEIhqIoNonaqMGhYzUYomhfcBzEDtUKVNVG2L3vaEo7M8UGn30RpKhgID1yfHx5pIaH/hTvpDh36iAKRvekY7u0pKYvTWnJyvCbBJCxmE6wJoKux4sP/WlO7HblhP43lc488f4b3xasiVifQ0LfHY3pjBnajaH9OlJZE8E0Te56dCvLZg0HSbKyCo3f4zOv7eGqS/pxqKKGbp19oEs4Hakzoi03LzKtz6ukMIDNLlmv+0ympXFuqVZAVTWCNSrBUMTSWceLg5zc+ft38PtcFBUMxOexc7QqTIbXha6blK7bav2tR44PmyIj2yW+c35HvM54kaRuGIBkjY8iwzs7ywj074jHZU8ayztvGNHiOJYUBgAwMfn98x9ZEqLEfQARdAsEgm9EY0nn/CsHk+338MiScXhtCjpQG9ZaPNUuXRc/xV304BbmTRtEuschGnUJWkTsUt+ApsGLYZgtdk78y1v7ePLlj+PH8sX5nNMhjV9cNRS7XeLzL6vwprmaFWQ6bTacTluSZ3Jpcb7VqTGh8f66AWQspvPvslCzoLV7R99XBt8t6czTPHY0w8BltxGLGZQdqwNMK+huqu+eO3UQHdu7QYJfXj8CSQJFlnnk/42nIhhOusDo2jGNrAw3mV6bFWyXzslPmXUoLc5vsdjlodvGoBvgdSvxwLCN6uJbi5bGuVt2Gl9W1CaN4cJrAvh9ToKhiGUBmBin9Rt3c90PBibp9BNWgEvWvMWdN4xIqeFfWBigk99FtaqhafEMuM0m8fjtE1EjGooic+v0wfTt0b5ZXUTLTagk/D4ner1GfMenFUnv+ZteiAoEAgEkSzpDdTHO7RRfTw4FVdpnuFBk2dpLnn19D5u2HbBOtcuDYUwzvu/du347pXPyT/G7EbRlROD9NdE0g4qqMMeqVSsz+JOJfRk2oGOzrnl3FY+0gu6SwgC79x3lniffb6Q/TqfkgRQFmXPyaafIKT2TJ3+3N8A3cjVpnIlu9nw+V1JjlMw0JzVqzLq4ME148q+7rKxnqC7Gk3/dxVXf74/HbeNYVUPF99pF45Ia4TR1dPn1vNFUVDXPWudkeaxTg9zzsrhk5LksWfMWpcUNwbaup85se53N9ceJ5kXT7nrFuvDx+878bPfxxrlprcAfXt5NUcFAK+hO3H7fU9stT+yf/3QIB4+EuGv2SCQJFq5+M+5mIklMm3C+NcZ9uvm5+tJ+uJ02ogbU1MWSCiwXzMjjpTc/x+exM3pw15SnFOForMVxrA7r/OWtvVx+8XksLAxY8+2bXogKBAJBgmgjackzr+2h1zlDQYLN7x9g9OCuzZq0JdaxcDRGtt+NJMX34/JgWEhNBMdFBN5fA8Mw2V9WzV1NMoP/+3I8M9jYvuxnPxlCNKazftlEaiOGFXRDQyDU4rG6brbomXzPTaOQZImKyrDVFUuiZYeOxllzRZaYWTCAHp0zMU0TSZJ4/b0DKLKUMsjf/P4BK8NeWjzScq5ovPi4XTYMwyQSi9vFjQ90Q5KhpDBANKanfH/RWGodb2lxPuleh+VqkciGNg7QWsqI1kYMOvpdSScObqfM82/us95PZprjjMh2f5VcKNXFSe55WWDCslnDrYxNx3Ye8vp34li1miQlSTR5Olatctv9W6zPL6Zr2OQG/9rX34u3dU8E3TMnX0CX9h5qIwaxmNGswcSKx7axtGg4AHes/UfKU4pla9/hvvmjm43jq+99wYBeWXx/xLnUhGN08Lu484YRyLKEw660eXtNgUDQtpGkBsesof2yQTLRdZNxgR6WCQI0atJWnI/XKTN31WZKCgO8/t4BIOH0dGLyTcHZiQi8vwZVtREr6IaGzGBRwUBMTGZPycXlsKFGtfjR+osfMeeK7wDQq0smD9w6xjqiOu6xuiJhYjYLhIC4JGBdcuD//Buf1etxHeg6uJ0ybqcDgINHayg/Vme9rs7ZPl56c68VUMf10WaLGdKC0b2IanGNbsKrOfGannrlY8bmdWfthg8omRHg51cNwWGTee71T/n+iHPxumys/sUY/vS3+HtOvD+tRT12PJCMRHUUReaW6UOswtWE/aDXKScFZQkXDJdT5lgogtthtx7TMOGiwV0YM7QbLqeMw3H6T/cTkQspSvK8GpfXlUvzeyZLmmYEyEx3UH6sjvYZHub/ZDCHKmpY98JHBEMqP//pELIy3dbR6qat+7g0vydRTbMuJhNjsH7ZRHbsDdKlvYejNVFq6qL4fa6UY2y3yaS7FWsME5vXtHp3kpLCAAeP1eHzNGSvayIa53drx4P/t4Oiyy/gnifepXROPu3TXWfEmAoEgraAaZ2kXTykK16HQm3UAFrerzRTZnnxSBx2mXd3lZPtdzNv2iDq1BiZaSIZIEiN2LW+Bi25i2SkOTh4pIY71r5j3Z7td3PbjKEcbSKpWDAjD4Adn1bgdsosnXlhUmCc3c6DxyFTFlStDoCJAFuWJCvoTjx3IvAvXbeVpUXDuWPtPygpDNA+08TUoTIU4cFndliPM2/aIL4/oifP/n3vCWTeDdb8+UPG5nWneycfhZMuYN0LH1odAn9x9VD8Phe3z7yQsmN1RDUNf4aL0YO7JvkyN37Pt80Yil1JfcER00wWP7SFW386FK/bxq+ffC8puJw/9TspCytz/C4r69DOJ3PvUzuaZecXXRMgzX36L4THk5Fk11sk+tOcSXKNn0zsy4IHtlhZbX+6E4/LRkwz0HSThY0C8kRX1V/9z3vMnpLLHWvfYdiAeEdJ04R2XmfKMcjt6UcziT9uLP64qcbYpkgp/7/pyZDVgMrvoiqks3bDhwRDKsHqiHUqJIJugUDQekj4vHZK5+TjrS/iX79xNzMvH5hyLZNlid/98Z9MHd8Hf7qTX1w1lM++rOLxF+Ndqduy3a/g1CJ2rq9BS+4ifp+T3/95Z9J9y4NhMrxOSw+buC3RxOXS/J4YJkSielJgvOiaAPvLa/j1k+83C7BbCpATbiCKnCzbMDEtC7fEfe9dv53lxSOT/r+lzLvNJnPlhL7NMuyVoSgQP5rbf7gaV30A5PM4MA2aBYYrHtvG8uKRTJ3Qh2NVKjZbvLnNkWDYuuDo4Hfz7Ot7KA+Gued/3mXhNYGUUpSWJCqNA9DCSRewdM1bSfe769GtZ8RC2JLGPdGqGMBuV+je0UfpnHx03UTTjZRFkMtmjWg2P+57ajvzpg2iNqyR097LL68fjttlY/FDb8U7Uk7om+Rk4vPYqQypZPtdHKlUqQypPPjMDnLPy7IaGzUOsG02ucUxrAlH6NujPWtKxqLIMl+UV+N22Ljvqe2WC9ATL+2yToUEAoGgtYg3zTGpqomA6aB03VaKCgby4pa9zfar7HYeXtyyl0n5Pa39zTBg+bqt1uO1VbtfwalHBN5fgwyvk8XXDktyhVh0TQCnU2nmv53td6dsjV4eDNMuzU5tVKFO1cjwOvnNzaP56dKXrQDxly0E2A67zOpfjEGWsHS6Oz6tIFQXq78Cj3uGx1upm5gmqYO0RoUf2X43dntyYWIiw2kYZosZ9vaZTiQk66Jh2ICOXDPpAiSgqGCgJY1JtIoHOFYV5tMDlWS3i7f8bnzBccv0IRwoq7Gex+2wMX1iH558+eNGr7vlIz/rZ92kTo2lvN+ZsBA2lZEASYFoU8edrAwnFZXhpCJIqC8AwmBp0XAUuWE+HSirwe20WwF54pRkfKAbQ/p1RDcMcs+La61XPt4QVC8sDCBJ0LGdl/Jg2JIWJR4/0fjm+yPObXEMTVNKksMsLAzgcdv42U8Gc7CihideimeSSgoD+NNEIaVAIGgdolGNsKrhsMnc9WjDKbA/3clHnwe5cGDnpP1qYWGAjz4PMuHCHvh9LgzDRJZla88SLkuC4yEC76+BLEt075TOr+aNTvatDqnMmzYoKVhZWBjAliJI+t9lE1Metf/PHROt4FuCZv83+aKeBEPRZrKVH48/n3SXjSVFwwiGGuQpieA5ZdfM2ijj8rryw+/2xqZIqBGNbL+L0jn5mKZJVNP58kgNOe29VhCd8EwuD4bpkOnC67ZbcpI+3fxcNqoXS9Y0yEsScpHbH37buu32mRcyoGcW+w5WW4tY4jF//eR7cXeNdVvJ9rs5WFHDmKHd6J6TwTOv7SEYUlsOOmW54ed6R5bW8j1vazSVkVgWlHaZUK1KeaWaZAu4+NphZGU4OadDWtLnMX1iHyKNmtUk5pMs08zh5N712y07y4KLzuNHY863xjpxn+X12SG7raGt/KZtByzLraKCgTz7971Myu/V4hh6XHYri65GNTJ9ThwyODw25Gwft0wfjCRJuJ3KCXvPCwQCwVdRWRvlkT9/SFHBQMYHuqEo8bqiNLeDaRPOt2SP0LDezZ6Sy+GjtUybcD6KLGO3y1w8pCuvbN0vXJYEx+X0j0ROMrIs4fe5yPZ78PtcyLJEmstOps/J7Cm5lBaPZPaUXLL8cZeRBTPyGDagIwsLA6y8MZ9wCx0WI/UdFrP9bioqVW67Oo/G3S4vze+ZUsJh6HGf0TSXPWlxGJvXnUf+/CFzpw5KepyF1wTo1N7Dpfk9uf3hfzCr9NX6AFrF65BRFIlgdVwXfsPK11i74QOuuqQffbr5rcdw2G0EQxHruVLZBt7zP+9SdqzOCsxvmzEUp93G8nVbcTlsSYFX4n98HnsjD+lP0A2DtRs+4OpL+3H7zAvxOuKZ+cbvJ2E1l/hZscHdT7zLvGnJ7/tMWQgby0jWlIyjtDifj/ZWsO6Fj6gJa82C5jt//w41YY0vj9RYn0efbn6+O7RryvnkcztTjk1E07g0vye6YSDLqU9SfB476zd+0uyznzt1kHUCkrB9TDWGf3lrL8vXbWXVH97H73PhsknMXbWZ2ojBzOWbmFX6KjOXb6JO1b+9D1ggEJx16LpBZSiKJMHYQDccdpnrfhCvaerU3ptyveuclcb6jZ/QOSut3gElnoz71bzRdO+UftrXEwm+PUTGuxVwOm10zPTgctjQdRNFkXDZbJgmZKQ5ufayCzhYUcPv/7yTW6YPbvGoPRGkPPbiR9zww4HMnpJL56w07DaZaAuFnWDWF0iOTPp7h0wXY/O643XZWFo0nLpIjGB1hKxMF5GIgddlo7Q4n39+Usbvnt5xXF14Ql6ydsMH3HZ1HooiUVUTtTKXTTtOJv7P5bDRp5ufOT/+LzTNoLImHqyH6mLc+7PRpLmdljNGTTiC0xHPeCYkBVJ9R8t7129n5Y35zF21uZnVXNzfWbMKYmqjBrdMH4zDrnD3jfno9S3izyS7ObtdIdvvibuP3LuZmQUDuPCCzlRUhVOOQzAU4c1/HeSOWSOoro2Q5nagtyCD0o3mRZGTL+pJJGrw2AsfcdmoXsQ0PeX4lR1T+Xh/kMdf3FXfHEniyyMhnnhpl3VikjyGcYtLr1OmOhJjUn4vAgNyUKMafp+TaUteBrCkRJAsqxEIBILWQFFkpk04H1mWMAyTsKpRq2q8s7OMG3/8HR5ZNN5a66pqVVY89i52m0wwpGK3yRw6WotNkcnKdNM+w32q346gjSMC71bC6bSR7Wz4OFN1epw7ddBxOvPJSUGnz+sk3eu07PKcdqUFbW+8a5YsN8hTxuV1xeu2E9UMjlSq/5+9Ow+MqjwXP/4958yeZJKBEBYBEaqCSq4LBJGIFhB76xK5rRVLb8EKVMCKVNsaoC4UiFu1WgSL2Ir9UfV6LVJb71XBuoAWXC+KilhUoJKEZchkme0svz8mc5IhEzZJJpM8n79gMjO8wzw55znved7nZd1bX3LZ+YNwOxX2pClz+cmVxfz26c3EDZNgKJI2IRvQ28/t00ZSH4ljWRY9uyW29370Lx/aNeYHjy0S0/nOmJNxqCoLV27ktqkjKQp46dPDR1y3WuzYaVqGXWrSvC9qsj67Ohi2k7Gk5eXjeOujSk4bWAg4uXbhWvvfb97pozOK6ybTyk6nMJBDXDdSLoaSkot///28k+wFp8nNhJLPPbV/gO+MOZn8XBeaprQoZbn0/EGUP7SeqWVDefCp97h16oi031+fHon/62BtBFVV+OKrAxQGcuz1D8nnPbfhC84YVEj3fA+g2B1pwpEwc5e9CcDDvxhjv6Z5KVH5lBL8Xlc7/i8LITq7ghwX8cJcLBOS1/kHaiMs/cWFhCM6wdqovWHexPGDuX/OaMJRg7lTSrCwcGgqNXWxrF+8L9pHh0q8P//8c2655RYOHDhAQUEBd911FwMGDEh5jmEYLFy4kNdffx1FUZg+fTpXXnllZgZ8CM23n4WmmeMH54xudWe+QSfkc9Oks9FUlfwcF5YFu/bWkePT8LmcLV53y+ThWFisWnAxGiTKSrp70NAwTJPCfC95OQ4uO38Qz73+T6ZfUdxii+7m260bhmUn0YE8j70wMhLTCdaG+f1fPuKHlwzhtj++bY/hFz8cjtejtdhJcO6UEvx5LvbsD6MqyY1zdG646iy8LicLVqQfx/LysfbGPsmFlUWBxK5grS0qPPeMPhgY7KistR8vn1JCvq9zJ2hOh8rAEwKUL13PbVNHsu6tL7nhqrNabN++50DYvoux5GcX4nU50bTEJkdPvvhJi9aL5VNK+Nl/DkPXTSIx3e6kkryzcajvL7ngeMWaD9i4pYrf/uxCewfM5Pf60qYdfKNfAZqqomlQMbOUqv11dtJdFPBimE3fo9etsrx8HJqm4Pe68Hg61GFLCJHlXC4HXpeGbpo4HQp/eS2xELwhonP7Y00TFokyyE+YPqEYywKXSyUaMwnkufnz37fx4wnFmf4oIgt0qDPYbbfdxve//33KyspYs2YNt956K48//njKc5577jl27NjBiy++yIEDB7jiiisYOXIkffv2zdCo02ut5/fnlXWc1Cs37SYwByfjRQGP/djcKSWcdlIgbRJTMbOUUEOMb/TJa3yfN1Pep1u+i7HDT2zRFSQ502mYJnddX8raTTt4++Nq7vjxSKJRIyWRnnP12fzg3we3KEO56/G3mFo2FLdTYeF159kzA0+8+AkTxw+me76HWDxRRpOcfb/28jNaLbf54LM99Oyey0ubdgBNNcKvvLMzbXu697cmSmUAls8dZydo+T4XbneHCu/jLj/HTdX+eqqDYVa/so2rLhrMUy99wuyJZ1GY70VREmsSVE2xk+64btlJ84QLBrZ6MbZg+nnc/8S73DJlGKbRuCi38aLsUN1lZnynGIdDZfqExE6uS576P354yZAWXVIK8tzU1Ed4fkNiY57fPPk+0Kzm2+ugYlap/T3m5bT7f68QHVYsbhzT7ojH+rquoCDPY9+du/CcfoTqY9zdOMkEqWWXhmGxe28tvQtzcTlVHA61cRM7mfEWh9dhMpN9+/bx0Ucf8Yc//AGASy+9lF/96lfs37+fbt262c97/vnnufLKK1FVlW7dujFu3Dj+93//l6lTp6a8XygUIhQKpTxWWVnZ9h+kUWs9v/PznC2S7MP1pwboVehj74FIi57ab39cndgB8DB9rou6eVPKXE7tH2jR1zm50Y2WZqOe+59495B9xIsCvpQEDuDzr0Lc/ZPzMS2LWyYP56mXtnLZ+YMOWW5TfHKRvXlLn8JcwjGdZf+9ma07glTtb+D2aSNxaCqaqtj16cnXe1xa1h74jiVeVVWxO72sfWsn/z5qANeWDaUhHOeXv2uapUks7B3VYqZ69avbGT9iQNrvVFVh1vf+jQO1MV57d6f9/R2uXOqOFRvtmL592khUBVRNtXuKqyo4NBWwmHX33ykKePnhJadRMbOUuGHi1FQCeW7pWtKBZfrYKsDl1LjspjVH/brnfl3WBqPpuI4mVlVVAcsippvk57oJR/S0x8b8XBeaqtC3p5/lqzczfUIx6Bbd8xMNFYQ4nA6TeO/evZuePXuiacltrzWKiorYvXt3SuK9e/du+vTpY/+9d+/eaX+RVq5cyZIlS9p+4K1I1/N77jUluJ1Obl+eOsPY+gxi00I3r8vBvGUbWlx93zgxUZpy8PssnjGSnt1y7YVphQUe9h0I2+UqzTuRJGe+47rJmGH9W12k11rCVdsQp3t++s+QnGHpXqAx/YpiUCy7O8nBM/w19RFyvW67bVyOR6MhqtuzEJs/28slpQN5b2sVw0/rxVNrt9ljyPauJccar95m/5exmMkXB0J2S0loan31qx+fh4WVspX74hkjGxdqpt+VzaVp3ProG/aC2B9++3TcLtXuTJLu+0v+m4m+3FDTEKOmLma3pCwKeFk0YxSffxWyvzdVAZTErpedaRFsZ5XpY6sQR+poYjUW04npibvJsbjBzuq6VtfMJM9VG7dUMa3MwuFU0ZvtjyHEoXSYxPt4mzx5MhMmTEh5rLKykkmTJrXLv99az+9kaUBzrc4gNlvoZlrpu1B0z/ew/V9Be8YxsZHN6aAo7KgK8eSLn9qbjvQMeAnHDLvM5eCZ7+TOhAV5bpb+fAx//vs2eyOU5HgO7ld+w1Vn2fXjrc2CTlnwor3YsfyhDSyaMYpeAU9KuU1ypfiiGaOYtnidPWv60fa99vMURSFu6Jw+qJAeBb4W/7fZnLAda7zWhXX2BusbO9KAzxNLGyf7QxHuf+JdZk88i8f/9jE//o8zyPW6ULBaQmamTQAAIABJREFUfKezJ56FQ1MxTMN+r2RPboBH512EqlgpnUlq6iP89DevA001+Y8//yHfG3eqfSGQnH1XFBjU1889PzmfgsaWnCJ7ZPrYKsSROtJYNU2LnXvqCIYi9Ozuxe10trpmJqYb3LnybRbPHGWfF6NxEzmKiSPVYRLv3r17U1VVhWEYaJqGYRhUV1fTu3fvFs/76quvKC5OLGI4eAY8ye/34/f722XsrUn2/E7uJri3Jmw35t+4pcp+3idf7Es7g1iQ46JbXmJjm3Sb6iQ3mnE4NHuB5sTxg7l1+ZspifEfn//YLjkxLVAV7L7OyZnv4m8U8u1RJ6V0qkiWnmz+bC9zp5RgmCaP/+1jppYNJeB343M7icV1pl1RjOYk7Wd4/9Mq+4DlbOxrvmnLbs4t7k2oId7i+a+8szNlwWmfHrnc/ce3CdZGmHdNCXXhOL265+BwqFlbVpLOscarpqk8smYL1cEwky4+lQvO7tvqXYnqYGKR5U2TzkZVVOY//AaBPA/T/+MMZnyn2N4OOeB3Y2FhGC1bCxYFvIn2fw2JXSYvKunPsNN6cefKt+2fl08pIRgKc9n5g1j//i4WXpdoLWhZFjleBw8+9T4zv/NvdJO2W1mpIxxbhTgSRxqrNfVRnnjhE7479hRiMQt/TuJc+uSLnzC1bCj5uS4CeW4++GwPT63dxuyJZ2EYFvOuKcG0LJwOjTzptiSOUIdJvLt3786QIUP461//SllZGX/9618ZMmRISpkJwLe+9S2efvppxo8fz4EDB1i7di2rVq3K0KgPL11bwfIpJQBs3JJISvsU5WFZpl0Hq6kKHneiVszhUPF7XeypaaB8cgkVKze1SKpvmnQOfq/G5u3BFmUGycUgix/bhGGazH/4DW6ceCZF3Xz2zGZ1MMyEC0/mjhVvprz2zpVvsXjmKL437hRefXcXY4b1J1ibqDNPSs5M19XH+aq6NmUWW9Fg6DeKyMvx8Nf12/neuFN4fsPnTLjwZByaSo8CT9OsqabgdqpccHZfxgzrD5pFXdQgrlv86PLTCeS5+a+1n7L5s71UzCpt52+x48r3uewLntIzT7A3TTp4lmbZM4la+MRdEh9zGy+wqoNhlv/5QyaOP4X8XDc9nInZ6nBE589//yztgtYd1XX06ZFrf3c+j9YYu4m7Epu27ObcM/qAApeWDiLHrVIfNalpiDL/4TeYe00JBZ3ookkIkd1M0+Ky8wdR1xCzd1X+f3dczPQJxfY5OarH6dMjjxnfKSbX58Tt0rjvT+/yo8tPpzDfi5ojc97iyHSYxBvg9ttv55ZbbmHp0qX4/X7uuusuAKZNm8YNN9zA0KFDKSsr4//+7/8YP348ALNmzaJfv36ZHPYhpWsrmJx9vvZy0+5O0qcwB0VRW8wA9y/KJRzXuf2RfzB74ln2zGRtQ9zu+R3XTT7eUUt+rusQix+9di343GVvsnjGSE7okWfPamqt7EZomuBxO7jg7BNQFLht2rnc0Wwb+OTMdFzXeO/TPdyz6l0gkZDfNnUkTodiJ+pXjx/M5s/22iULyectvO48u/92c8vLxzKgt5+9B8L8etW7dsmM9HFu4nY76NejqUvOxi1VHKiN2Vuv1zbEyfU57Q1sigJezMbNcyZdfCoXntPP7pJjKRYKCljgcjrY/NleAG6bOhJNBdOCmK7z8yUb7H+/KOC1L+yaG35aL5wOlQP1MZY/+wljh59Ifq6LhdedR3e/lJcIIToO07R48Kn3mHN10wZ3P7jtBeZOKeHE3nnc/cd37Pa6cd1i6dObuWnS2QRrI439u93U1Ec71V1Y0XY6VOI9aNAgnn766RaPP/LII/afNU3jjjvuaM9hfS2ttRXUDTOl80TFzNL0PbYbZ3erg2E+2r6Pbw7rh66b+HPcnHZSgHOG9CIW1/ls5wHGDOvPw78Yg2HC6lcS9dnJjWzKp5RQtb/OHkOyZ/Kj8y9i7pQSTCt9KUtcN5n/8AbKp5Tw0fYqzhhUyN0/OZ9Y3EBTVZwuhYm3vmDPrH5zWD8e/1tip0JNU1Lq11srqWmtxl1RFJyaQs/uPm6adI70cW6F2+2Ahhiqmuh1vnVH0E6Ek7E1bng/u2Soan8908pO57SBhfaC3eR30SuQOHGYNJUOJeMoMXP+Qcq/nVzl31zyIs8ETuyZ1zRrpCkEcqVjiRCiY7Es7EXkzTeiGzwgQCxupL3Ta5qkrHGK6+Yh/gUhmkgG08ZaayvocTtSFgdGoulbFxmGhdulMeGCgZwzpCdzl6YmSm9/VMnZQ4o4Z0jPFvXZeT4nF5zdj4I8Ny6Hwo33p85KFgW8RGMGy57ZTPmUYWk36Fn9yjb7ImDRjFHMW7aBxTNH8cXu2rTdM2Z8p5j//PYQnnv9nzi0RMu/ZI1cYb4Xp0uxyxI0VeX9T6vYH4qmTch100RVE9uji0NzO1VMy0r7Hf51/T+5pHQgl18wCI/LwRMvftL6ZkqzSgGL8oc2cN+NqVu7x3TD7jCTlFzln4zx5Hf3yRf7GHJSd3t7eyGE6KiczsR5+pmXtzHn6rPZtGU355/Vl2jM4PkN29OW3DmdKs+9/k8mjh+M09nYmkmIIyCJdxtL11Zw/o9GUJCb6MIRjerUNMQO2dmkIRLnktKBdtINTYnSbVNHoqpw2/KW9dkVs0pZvnozG7dUMW54vxYHj1smD+fPf0+0eZuy4CUmXDDQLlmI65Y9a558T6uxs4pp0WpZi8flsHt+Kxr89unN9oHK7VJRFbj5ode5f85o9gQjPLU2kdj7PA4qZpaCYoGloJsm+w5E6NNDdk45Enk+N/tDYV57d6fdE9swmr7DDZt3c9vUkfzXS1uZOH5w6y0sDYvpFYmyn7qw3tiHW+Hux9+mIM/VIrG/4aqz+OCzPSyaMQpVBSyFhqjOyf0DFORmb3tHIUTX0fw8bVoWl5YOonzpehZedx6rX91ObUPcLrkzTMjxahimxfQritlX00A87qKwQMpMxJGRxLuNtdZWMJl079xTR8Vjm7hq3MlpZ319LpXyh9az4MfpN6/RtETT/9aSqKsvHsznX4VY+9ZO8nxOFs8chWlaaKrKEy9+klJvvfrV7Vw88iQ0VeGOFW+kLf0oCnixLIv8HHfaC4Vk9wwAxVJStoC/4Ox+gNW4RXgDz2/4gtumjsShKTgdKpZiUbm3IaW13bxrRhCQlnOHpaoKhmmx+tXtfOu8k7juznUpP0/0YU90qPn3UQMOsQmOYv/ZoSl4XBq6kVjgWlMX42/rtzO1bCgDeucB8OhfPmTjlipGnN6TieMHp8Tv/B+N4MRefvnuhBAdWvI8fdf1pcR1E71xYiJ5zmveTrUo4GXxzFFMXbS26TztVuU4J46YbLPUDpJtBYsCvpQksqYhZicqv316M9t3BamYWcry8nFUzCqlf1EuDTHTTqKLAqnt14oCXpwO1d4E5eCfxXWTJ174hEUzRvHovIu49PxBPPLsB0yvWEckZtiL51LeT1NxN27KknzP5MFl05bdzJ1Swv++8Tn10RhzD3rODVedxTMvb6Mo4GXvgQg/+tVLTK9Yx7TFa3lp0w50w2R6xTrKl65HUVR6dvMx656X+eXv3sACNEVtsSX9oj9spKY+2hZfS6fjaowD00wfK6YFc69J1NS7WvmONU2x/7y/Jkw0bhLXTX6xZD2LG+u9Fz+2CU1V2bYjyPQrillePpbpVxS32DV14e/luxNCZAdVVejmT2weZpmJY+Ir7+xMe5z8+9tNd4IrHttEQ0zqu8WRkxnvDDKM1Nv9ye3Pl5ePs+tinVGdooCX1a9sS1tnFsh1oyhKq/XZG7dU8flXIe6dPZr8HDeTvjWEz78KpX2/WyYPx7BM0FU+2r63cXYcNFXB6VQYObQPigrfHjUQy7LweR0smjEK3TCp3Fdvd1n5xQ+H43Yl+pUnu1kE8ty8+u4uoOlgtWjGKF7atMP+HMG6aNqZe1m0cmSSt0tf/McX3DK5hDtXpt49yfE6yFOd7D0Q4c8vb+PS8weyaMYou6uJ2rjmsWJmKbuqQ/hzPRimyb+q6+zvMtkpxTBNu4NN4jWj5LsTQmQ1VVXo7veyJ9TUvhewj5OaqrL9X0FWvbDVfk11MAyyaaU4CpJ4Z5Cmpd7uP7V/gInjTwEgWBshP8edUnsGcPu0RGmGYVq8+I8vmPDNkwnkeRjQy8+ds0rRDYu4braoz47rZouyF49LtV+jqQoup0qu14VlWZw2sDDtQs7Pdh3g6osHs/gPiaRuWtnpjPq3E+jXM4+bJp2Dw6Hwuz9v5ht9C7h6/GAWH1QPfGr/AFt3BBtrxqFiVqnd6aK1hahOh9yYORLJ7/eKC0/Gskz7ZHFwvf6ki0/l0vMHJcpKLAvDAtOysAzQHBDXDXoEcsj1Obn5gde4qKQ/115+BsHaKDV1Mda99WWLnUqbdwNIku9OCJFtHA6V7rkeXFrMXlyuKgpOl4aFxSNrtqQ8vyjgxemU45w4cpJ4Z1DzzU8CeR5+eMmQlPrmZI3sib38VMwqpXp/A7uq63jm5W12X+ZLzx8EJA4WPQI+grUR5j+8odUEKFn2Ymtl7eKJPfNSNkV55Z2d9uz0Cd1zWTRjFPtDiR6my575Py47f1CirdJ/DGXi+MEcaGy/1NpmPsmFo807XrS2EDU/RxbpHanE7dKm3VIT7SDXp8TDS5t2cGLvfPYE6xMb3QAOVeUfH37FI2u2NK3ajyV2Bz17cE/mP/xGygXUvpqGlLss6976ssVdF/nuhBDZyOVy4IrrVDc7jxUFvPz8h8P46ffP4b4/vdO0Qdk1JXKcE0dFEu8Msjc/mVWKZWHvJghNNbL3zh5NIM+D06Fy/xPvHnZG8Xglr8k2cJGITigc44Kz+zFmeH+7j3aRS8Pt0uie72FQ32IApk8oJt/rIpDjIcfjPORmPsnykuYOtRBVHJ3kBZZpWi3iYe41JeTnuhg8IEB+jhvDMGmIxTn3jD4MP60XmqridqvousXE8adw1+Nvpb2AOmNgbtNuq4091uW7E0J0BnGDFpNHdz/+Nnf/5Hxum3ouofoYtQ1x/DkuOc6JoyKJd4a53Q6K3A6qgw2HrJE90oT6eCevHo8j7YY1LWbOD36dW0tbetAj4EspLzna9xVH50jiQVU1fEA0FgUUUMDncqJ5VaKFRtq4zM91oZu06NEtmxsJIToD3UjfcnX33nrKlyZ27y0KeLnnhtGZGJ7IYnKW7CAOV998NAl1R0heW7tQ6FHgldmBdnYk8dDaRjcetyNtXHbze+T2qhCi02rtnByJ6fafk3tyCHE0JPHuII5kRrsjJNRHSspGOoeC3JZxOe+aEgrz5QJKiGwTixu40txpbKvXZbPWzsnd/G4enX+RnNPEMZPEu4PojIlqNl0oiPQ6Y1wK0VW5nBqX3bTmqF/33K/L2mA0HZsc+0RbkcS7A5FEVXREEpdCiK5Ijn2iLUjzSSGEEEIIIdpBl5rxNgwDgMrKygyPRHQFvXr1wuE49l8xiVfRXto6Vvv27XvM7y06hl27dmV6CLavE69yXBXtKV2sKpZldZnNTt9++20mTZqU6WGILmLdunVfK+GQeBXtRWJVZJOvE68Sq6I9pYvVLpV4RyIRPvzwQ3r06IGmtVyhXVlZyaRJk1i1ahW9evXKwAgzo6t+bmjbz/51ZxEPF6/HoqN/1zK+r+9YxtiRYjUb/o+PF/msx+brxOuxxGpn/p7ks7WtdLHapUpNPB4Pw4YNO+zzevXq1SVvjXbVzw0d87Mfabwei474eZuT8X197TnGtojVbPg/Pl7ks7afrxOrmR57W5LP1n5kcaUQQgghhBDtQBJvIYQQQggh2oEk3kIIIYQQQrQD7fbbb78904PoSNxuNyNGjMDtdh/+yZ1IV/3c0PU+e0f/vDK+ry8bxngo2T7+oyGfNTtk89gPRz5b++pSXU2EEEIIIYTIFCk1EUIIIYQQoh10qcRb13V27dqFruuZHooQhyXxKrKFxKrIFhKrItOyNvEeM2YM3/rWtygrK6OsrIzXX3/9sK+prKxk7NixslWsyAoSryJbSKyKbCGxKjItqzfQefDBBznllFMyPQwhhBBCCCEOK2tnvIUQQgghhMgmWT3jffPNN2NZFueccw4//elP8fv99s9CoRChUCjl+XJrSXRUEq8iW0isimwhsSo6oqxNvFetWkXv3r2JxWIsWrSIBQsWcO+999o/X7lyJUuWLMngCEVnpesmwdoIumHh0BQCeR4cjq9380jiVRyLtojFw5FYFW1Bjquiq+gUfby3bt3KjBkzePnll+3HWrvSnTRpEuvWraNv377tPUzRCei6yReVISoe20R1MExRwEv5lBIG9PJ/rZOExKs4Wm0Vi4cjsSqONzmuiq4kK2e8GxoaMAyDvLw8LMvi+eefZ8iQISnP8fv9KaUnQhwPwdqIfXIAqA6GqXhsE3fOKqVHwHfM7yvxKo5WW8Xi4UisiuNNjquiK8nKxHvfvn385Cc/wTAMTNNk0KBB3HbbbZkelugCdMOyTw5J1cEwupn1N45ElpFYFJ2FxLLoSrIy8e7Xrx/PPvtspochuiCHplAU8KacJIoCXhyqksFRia5IYlF0Fh0plmNxA5dTa7fXia4nKxNvITIlkOehfEpJi1rEQJ4n00MTXYzEougsOlIsu5wal9205qhf99yvy9pgNKIzksRbiKPgcKgM6OXnzlml6KaFQ22fThJCHExiUXQWEsuiK5HEW4ij5HCobbp4TYgjJbEoOguJZdFVSOItxFEyTYua+ihx3cTpUMnPcaNKXa3ogCRWRTaReBVdgSTeQhwF07T4sjLEwt9vtGsR5/9oBCf28ssJQnQoEqsim0i8iq5CCqiEOAo19VH7xACJllcLf7+RmvpohkcmRCqJVZFNJF5FVyGJtxBHIa6bafvNxnUzQyMSIj2JVZFNJF5FVyGJtxBHwelQKQp4Ux4rCnhxyup70cFIrIpsIvEqugqJaCGOQn6Om/k/GmGfIJJ1iPk57gyPTIhUEqsim0i8iq5CFlcKcRRUVeHEXn7unT1aVt6LDk1iVWQTiVfRVUjiLcRRUhs3dxCio5NYFdlE4lV0BVJqIoQQQgghRDuQxFsIIYQQQoh2IIm3EEIIIYQQ7UASbyGEEEIIIdqBJN5CCCGEEEK0A0m8hRBCCCGEaAeSeAshhBBCCNEOJPEWQgghhBCiHUjiLYQQQgghRDvI6sR7yZIlnHrqqXz66aeZHooQQgghhBCHlLWJ95YtW3j//fc54YQTMj0UIYQQQgghDisrE+9YLMaCBQu4/fbbMz0UIYQQQgghjogj0wM4Fg888ACXX345ffv2bfU5oVCIUCiU8lhlZWVbD02IYyLxKrKFxKrIFhKroiPKusT7vffe48MPP+Tmm28+5PNWrlzJkiVL2mlUQnw9Eq8iW0isimwhsSo6IsWyLCvTgzgay5cv5/HHH8flcgGJq9fu3btTUVFBaWmp/bzWrnQnTZrEunXrDjlbLkR7k3gV2UJiVWSLY43Vy25ac9T/1nO/LjumMYquJ+tmvKdPn8706dPtv48ZM4aHH36YU045JeV5fr8fv9/f3sMT4phIvIpsIbEqsoXEquiIsnJxpRBCCCGEENkm62a8D/byyy9neghCCCGEEEIclsx4CyGEEEII0Q4k8RZCCCGEEKIdSOIthBBCCCFEO5DEWwghhBBCiHYgibcQQgghhBDtQBJvIYQQQggh2oEk3kIIIYQQQrQDSbyFEEIIIYRoB5J4CyGEEEII0Q4k8RZCCCGEEKIdSOIthBBCCCFEO5DEWwghhBBCiHYgibcQQgghhBDtQBJvIYQQQggh2oEk3kIIIYQQQrQDSbyFEEIIIYRoB5J4CyGEEEII0Q4k8RZCCCGEEKIdSOIthBBCCCFEO5DEWwghhBBCiHbgyPQAjtXMmTPZtWsXqqri8/n45S9/yZAhQzI9LCGEEEIIIdLK2sT7rrvuIi8vD4C1a9cyd+5cVq9eneFRCSGEEEIIkV7Wlpokk26Auro6FEXJ4GiEEEIIIYQ4tKyd8QaYN28eGzZswLIsVqxYkfKzUChEKBRKeayysrI9hyeyWCymc6A+hmGYaJpKQY4Ll6vtfl0kXkU67R2HR0JitWvpiDF4pCRWRUeUHb89rVi0aBEAzz77LHfffTePPPKI/bOVK1eyZMmSTA1NZLFYTGdHdR0Vj22iOhimKOClfEoJ/Yty2+yEI/EqDpaJODwSEqtdR0eNwSMlsSo6IsWyLCvTgzgeiouLefXVVwkEAkDrV7qTJk1i3bp19O3bNxPDFFmgOthA+UPrqQ6G7ceKAl4qZpVSFPC1yb8p8SoOlok4PBISq11HR43BI3WssXrZTWuO+t967tdlxzRG0fV0/EvWNOrr6wmFQvTu3RuAl19+mfz8fAoKCuzn+P1+/H5/poYosphhmCknGoDqYBjDaLtrVIlXcbBMxOGRkFjtOjpqDB4piVXREWVl4h0Oh5k9ezbhcBhVVcnPz+fhhx+WBZbiuNA0laKAt8Usj6ZJfIn2I3EoMk1iUIjjLysT78LCQv7rv/4r08MQnVRBjovyKSUt6hoLclyZHproQiQORaZJDApx/GVl4i1EW3K5HPQvyuW+G0cTjZkYZmI1v9xREW0pHjcI1kXt7hGBXDf9i3KpmFWKYVhompJVHSVEdkkXf8ljocSgEMeP/PYIkYaiKOw5EGkx03NizzycTi3TwxOdTDxu8GVVbdp4y4ZFbCK7HSr+XC4HRZJoC3HcZO0GOkK0pWBd1D4JQWJBUcVjmwjWRTM8MtEZtRpvtVGqgw1EInqGRyg6MzneCdF+JPEWIo1sX80vskur8WaalD+0nl176yT5Fm2m9eOdKXEnxHEm94+ESKP5av7FM0bSs1tuY623QiSi4/HIr444ftJ1j7j7+lFoqsrC685DU1V0Q0cO2aItJOPvxolnNh3rVBWvWyUUjsnxTojjSH6bhEjD6VAon1JCPK7jdDooX7o+pfaxb2GunIzEcRPIdad0j7j7+lHp405zSNyJ4y6Q6+a+OaPZE4y0iLmeAU+mhydEpyKlJkKkEdctPtq+l+75vrS1j6FwLMMjFJ2J06lxYs88KmaVsrx8nMSdaFdOp0Y0ZqaNuXDMzPDohOhcJPEWIg2/18W5xb0xTKn1Fu3D6dQoCvgI5Lol7kS7k3UtQrQPSbyFSEPTFEJ1cTQ1UfvYnOzcJtqSx+Owa26bk7gTbUliToj2IYm3EGkk22tV7a+jfEqJfUJK1j36vbJzm2g7PpeaNu58Ljlki7YhMSdE+2j3VTpr167lyy+/5NJLLyUvL48HH3yQnTt3ct555zFp0qT2Ho4QaSVvu85d9iaLZ4ykYmapvdLf73PJAjdxXEUiOqFwzN410DBMwpFYStxV7a+jNuwkNyfToxWdTSSiUxvWJeaEaAftmj0sX76cv/zlLyiKwpNPPklZWRndunUjPz+fZcuWUV9fz/Tp09tzSEK0EInodolJMvmGxAxQxaxSSbrFcRWJ6OzaW5eya2DFzFJ+8+T7KTW3yfgT4nhKxl+u1ykxJ0Q7aNd7SE8++SS///3vWbFiBTt37mTcuHFMnz6dGTNmsHTpUv785z+353CESCsUjvGPD79Ke9s1kOvO8OhEZxMKx1p0k5D4E+0lGX+vvLNTYk6IdtCuU3c1NTUUFRUB4PV6GTx4sP2z4uJiqqur23M4QqSIxXQO1Cdu9597Rh9q6iMsmjEKy7JQFAW3SwOgOthglwQEct04nVqGRy6yQfP40jSVghwXiqKABQuvOw9FUXjlnZ2semErj6zZwuO3X0zFrFIMw0LTFIk18bXFYjrhmE40ZjZuCKbidChUB8OsemErgH3M01SVQJ7EnBDHW7sm3nl5eUQiETweDzNmzEj5WSgUwul0tudwhLDFYjo7qlNv95dPKWHztmp++/RmigJeHpwzmmBt1K5/NCyDL6tqObFnnpycxCGli68H54ymPmo2xRMGw07rBcBLm3YQ102KAr4Mj1x0FrGYzoGGKL7mxyoLnKrCtLLTeWTNFla9sJVVL2y1S0zkuCbE8deuifcll1xCZWUlAwYMaFHL/T//8z8MHTq0PYcjhO1Afcvb/RWPbaJiZil/WnAxCrA7GGmRmOf4NIJ1UUmQRKuSCyebx9evrhvZajxdeE4/hp3WSzrniOPqQH2MHJeWNu7GntOXNa9tT3lM4k+IttGuNd4/+9nPGDBgAG+99VaLn33ve9/jiiuuaM/hCGFrdfMI06QqGKGhlV3dNDTZYEK0Krlw7eD4cqhaq/FkWdC3MFcW8YrjyjBM6qPpj2P1UdPeNbViVqnEnxBtKCMNOm+44Qbuuece4vE4kCgzmTNnDr/97W8zMRwhWmwe8ej8cTw67yIA/D7XIRNz2WBCtCY5033wRkyt7kzZGE+S9IjjTdPUQ8SdRVHAR+/CHIoCPok/IdpQRn67nn32WebOnct3v/tdfvCDH7BkyRIuuOACVq9enYnhCEFBjovyKSWJ8pJZo/C4NCJR0/653+uw2wsmFQW8iQVIsupftMIwTK4adzKQWECpqSrvf1qFpqlMKzudktN724t3N23ZbS/YFeLrOngxr9/rItQQayXuZPJAiPaSkcS7Z8+ePPTQQ1x55ZXceuutfPe732XBggWZGIoQALhcDvoX5VIxq5Qcl5q2DvL+OaOZc/9rqXWQPpcsQBKtyvE6GNg3QPnS9am13C6V0wYWMm/ZhhaPSzyJr6u1xeK9Ap5W404I0T4y8tv28ccf893vfpd+/fqxdOlS/vGPf3DTTTcRCoWO6PXBYJBp06Zx8cUXc9lll3H99dezf//+Nh616OxcLgd+r6vVOshITOogxdGJtLI24FC1tkJ8Xa0tFm9oLe5iEndCtJeMJN5Tpkxh8uTJLF26lG9+85usWbMGt9vNZZdddkSvVxSkjcoVAAAgAElEQVSFqVOn8sILL/Dcc8/Rr18/7r333jYetejMTNNif02YA/XR1usgDamDFEfnUGsDWqu1FeLriET0o487WSAuRLvJSObw3//93/Tr18/+u8/nY/Hixaxbt+6IXl9QUMCIESPsv5955pk88cQTx32comswTYvacBTdsBIbR2gqd18/ip8v2WA/J1HPrRCPG1IKII5IJKLbsdQ932f3695X02Av5m2xZkBqbcXXkOyi4/e5UuJr8YyR9OyWi2GaPDrvIqr21zF32ZuAxJ0Q7S0jiXfzpLu5sWPHHvV7mabJE088wZgxY1IeD4VCLUpXKisrj/r9RecXDkfZk6amO5l8J/9eF46CQpv07JZ4zX7Jft2GYeL3OqiPmuS4VUJOR9oa7+Ri3uaPZ8PCSonVjivZReeqcSfb8XXjxDPxelwtYnDxjJH85sn3sybujoXEquiIsv5e+a9+9St8Ph8/+MEPUh5fuXIlS5YsydCoRDZprd62YmYpy8vHoqkqNfURZt//OsvLx7XJGCRes1typjEZR4/OuwjDNKmP0mps9Qx47O25FUXB7day4m6KxGrH1LzE5LdPb+YnVxZTMbMUwE66ITUGK2aVEsjtvNvCS6yKjiirE++77rqLL7/8kocffhhVTS1Xnzx5MhMmTEh5rLKykkmTJrXnEEUWSNY9PrHgYhqabeGd41aZeOtL9vOS5Sb7a8LopoXToZKf40ZVv/5tWonX7HbwzpT2NvDNamqbxxckFti4XSo/vP1FigJe7pxVmqnhHxWJ1Y4pHNfxex32RZ+mqvjcKrVhvdX1BL0LczI02vYhsSo6oqxNvO+77z4+/PBDli9fjsvVcmtbv9+P3+/PwMhEttE0lScWXExlmnKTJxZczNW3vmD/3eVSuek3TS0F5/9oBCf28n/t5FviNbsdvJgtWcvdvcBHUcDLA3NGp42v3gFPU5lJnieDn+DISax2PNGojkslbRvUZIx1xfUEEquiI8rK5p3btm3jd7/7HdXV1UycOJGysjJmzZqV6WGJLJXjUltts9UQTSxGenDOaHoUePjzy9tSnrPw9xupqY9mcviiAzh451NNA6fTga+xlrvVNm5RkztnlTKglx+HIysPx6IDqGmItd6iMmZSPqXEjk97DwJvywkrIUTby8oZ75NPPpmtW7dmehiiEznUFt7zH37Dnjla/er2Fs+J69IDt6vze5t2Pg3kefj8qxD9ivKojxr0Cni69O1+0fYMI3EMSt8q0KRHwEPFrFIMw0LTFPxel7RDFSJD5DdPdGmmaVF1IEqu15lyO3bVgouJNNbjVswsxeNWqY+aaW/ZOmWmskuLxw1C4Ri9Ax5+M2c01cEIi5vd7n9wzmg0VbUX6nrcKpMay5e6wu1+0TbicYNgXZQcl4qmqRhG4u5cMr4guS5F5af3v9Z4HNOypqRJiM5KMgbRpdXUR1n0h4343Kp9O3bVgoupDkYoX7qe6RXrGjsCRMhxq/z0++ek3LKd/6MR5Od0zlZc4vDicYMvq2opf2g9Gz7YTV1Yt5NugPvnjGZ3mlhateBiud0vjlky7jwuNRFfD7WML7t1pVu1797JsUqIzJMZb9FlmaZFPG4y5+qz+WB7kOKBASpmlhJprJW8f85oe9Zba+yaU9TNyy2Th5PrdeFxa8etq4nITsG6qF1Xe+YpPbGwmFo2lOKBAeqjJvVhHb/Pxf1zRjPp1hdSWrn1Dnjkdr84apGITn00Tu+AJ9Er3uOw78pNuvWFplaBM0vxuVU+r6xrvLuiyrFKiA5AZrxFlxKN6lQHG9i9t469B8Lsqg5RvnQDK9Z8wGdf1XL3H9/GMM1E0h03MK3EVsqmZVEfN3A7Ve5c+RYOTSGQ55ETWRfXvJtJjltFQaF4YMCe5X713V2J2AnrPDr/IiZdfKo9+yjE0YpEdKprGvA4lFZj7KKS/himybWLXmL2/a8Rielyd0WIDkSmW0SXEY3q7NxT16Ld1rwpwzh1QDficYubJp2NpqpYFoTq4sTjur3dN6aKBlnV+k20rWQ3kwcbS0qSs43xuE7FzFIM00RVFKqC9fYugT6PA01VCYUNvF5LLt7EEQuFY3TPdVEfNQ8bY0UBL3OnlFCQ5ybH7ZS7K0J0EDLjLbqMmoZY2nZbA/sG2FcTtetwPW6VaCxxYnM2bvedrJ/cHYzQtzBXWr8JIhEdFIsH54xOaeXmdast4sbrcXHjxDOpeGwT557RB49bRVMVaUUpjkpOY0334WIsGk8sCn/ixU8wTUuSbiE6EMkeRJdx8CYnkGy3ZaUk5JNufQHDNOme70ubqIfCsXYfu8i85mVK1cEGQuEY5Us2UN+4DiAZJ+FW+in37JZrtxCs2h9G05BWlOKIJWq7E7F12BgzTPbVNDBx/GC5OydEByOXwaLLSJYFtNjBTVW4ZfIw8nM8GKZJrtdBOGYeMlEXXUvzMqUbJ55Jz265+NyqfatfU5ti61A94ZPx9vp7u7i0dBBOp8x9iEOLRHRC4RiGkYizWyYPO3yMaSq5Pjf5uU65OydEByO/kYCum+wJNrB7bz17gg3oMgvVKeX7XGl3cMtxqyiKSvnS9Xy5u4aqYIR/fPCVnUw1l0ycRNeSLFO6ceKZ5OclLtBqGnR2VIX49ap3E4t0G2Or9bhJtKz8x4dfMfrsfrhcqrR3E4eUXEy5ozLEvpoIO6pCFHXzHT7GPviKuG6Q65X4EqKj6fIz3rpu8kVlqMWCO9nCufNxOjUKCzwps5SqBhG9qdRk4AmBxl64YYad1tPejbB5bPjcEhddTfLuR58eefxrTx0PPPmeHRM3XHUWf3z+Y75/8SlUzCzF29gT/uC48bpV3C4P557RB59bxeeVVpSidcm2gQdqoyx7ZrMdSxUzS9lX09DqsSkZY9380nVJiI6oyyfewdpI2lq5O2eV0iPgy/DoxPFUUx/l5gdea1FqsnjmKK4adzJnntLT3qkybhrct+o9Jl8yOCVRd7tVHFqX/7XpcpJlSrph2kk3JI4XNbURfv6fw+wWgRbQK5B6gVe1v47v3/oqy8vH0qPAJxf1olWmaVFTH8WlgmFY9ChIJNvb/xVk0WOJdqc/X7KBxTNGpsSY161SGYzQO+Ahr8ArSbcQHVSXzyB0w0pbK6ebUsfb2cT19HWRHpfGwL5NM93J2aOb//Mc7v3jO4mLs5mlALg1h3QI6IK8rsQstmmSEkM/ubKYPkV5LWIn4Hex/NnNbNxSZT83WQoQaojRzS8L3kRLpmnx5e4QObkO9tXEW8xoL/nZhXaZydxlb9qvS86E9wp4iJmQI0m3EB1Wl88gHJqSdsGdQw5cnUZyBgkS3+2tU0fgdTntmSKHQtq7HhUzS5k4/hQK8jzsqg7RI5BDOK5L4t0F1YV1ehR4iMZNlpePRVNVwrE4XpfTTrohNXauvfwMPv8qlJI4bf9XkAF9CjL8aURHdaA2QrA2TFFBAfgUFl53nh1rC1ZspGJmKVE9nrbMpGp/HXOXvcmj8y/K9McQQhxCl88gAnmetAcxacHUOZimxZeVIRb+fiOBPA+/mTOaqmCEBStSZyhvnTqC6+95xX5dskPACT3yyPVq7AmGcTlVaf/WRcTjBsG6aKKThKbi9zrsDXKax01hntpqdwlFURpLASw0VWH7v4I8smYLFbNKM/SpREfncCic2q8gbazdOnUEhmnidjg5EKprUco0d9mbFAW8OKWMKSNicQOXU2u314ns1eUTb4dDZUAvP3fOKkU3LRxqYitwqcHsHGrqoyz8/Uaqg2GKv1FIOJa+/22ylCQpWRbwz3/VMKC3nxVrPmDulBIKC+SCrLOLxw2+rKpNSXwqZpW2GjfpW1SqmJZF+dL1LJoxit376ln71k5u/sE5uKWFoEgjFtPRIGUzJmh5jDJM0y4zKQp4uX3aSOrCBkUBL/N/NEI65WSIy6lx2U1rjvp1z/26rA1GIzoyOQOQSL57BHz07p5Dj4AsfOpMknXd44b345LSga335m7sfwtNbQZNLNa99SWaqnD/nNEsfmwThkx4d3rBumhK4nPVuJMPETdW2haVmhNeeWcn1cEwlmXx4FPvMX1CMXk+F3k+SYxEKl03Ccd09tfHDtmje1d1CEVJlEEWBbzcMnk4f/77Ngb09nPPDaM5sZdfFlUK0cF1+Rlv0bk5HSpLf3EhHqeTWx5af8gZyua3buOmwYpnP2Di+MGgWUSiiZOhLpl3p9c8yZ508akM7BtoffMlTSHgd6V2vnGpKAqsemErRQEviqLYGy/1KcyVxEgAB5UzqSoet0owFKVXt5xWj1H+XA85Ho2HfzEGw4TVr2xj82d7+c9vnyYLdoXIEjK1Kzo1r9NBNGahNyZT4Vi81U10DNPEamxm43FqTC0bitulgKHYM+JSP9n55XodPDrvIpaXj+Xbowbgz3GR09jVpHncLJxxHgCxWOJizNVYQvI/b3xBfeOt//IpJbzyzs7Egm1NkaRbAE3lTH99/Z/EdYu4bhCOGui6cchj1Efb9xKOmty6/E1m3fMymz/by7xrSijIlbsoQmQLmfEWnVYkohNq3HFw0YxRFAW8XH/PKzy54OKUGUoUi6/2h7lz5Vt2Te8tk4fz/IbPGTu8P93zNTRVlfrJLiAa1alqXNh21biTGdg3QMVjm7h92rn0btab2+N2sK+m5QK4v63fzubP9jJmWH8WzRjFK+/s5KVNO2TBtrAlZ7pfe3cn55/VlztWvJkSQ8++8k+uuHBQix7dMRMeWbOF4af15u7rS4npJqqq0N0vPbuFyCaSeItOKxRuqpesj8SZPfEsHnjyPUJhnekV6+znPfSzMXbSDYl6yjtXvsXt00ZStb8eTVXJcasUFkj9ZGeX3Bq+OhjmzFN62q0C3U5HStw89LMxaRfA3T5tJJeUDiTHrbJ5e5AzBhXyzWH96e6XBduiMemuj2AYFuNKBthJNzTF0G1TRzLrnpeBxGz31LKhrFjzARWzSu3yJgCvx4HfJ7ufCpFtsvJMcNdddzFmzBhOPfVUPv3000wPR3RQhmHicmosufmb5PlcBPLc/Pw/h9kbUCRpKmkXMzk0haJuPnIat4g3ZVOlTq95fXfyom3xjJGgkBI3rceMSu+Ahw0f7GbxY5u4/4l3URUk6RaYpkVDNA5WouSotRhKJtZFAS83XHUWz7y8jepgmLhuUj6lhHyfi+4FPgpyZUt4IbJRVp4Nxo4dy6pVqzjhhBMyPRTRgbmcGjV1URY8+g/Awu104M9xgQIPzhlNUcDLfTeej9OhpSTikFw4pxKN6YTCOvVRk2BtJDMfRLSb5CJKAH9jrXdhgQ8scDer83Y41PQxoyq8s3UPv316c2J3wWukxEQkku59tWH2HIiQ41JRFKXV445TU7nr+lKmlg3lj89/zNYdQXt9Sd/CXNxuuVEtRDbLysR72LBh9O7du03eOxLRqQ42sHtvHdXBBiIRvU3+HdG2TNPCNC0iMYP754wmVB+nfOl6pleso/yh9ewORnhwzmgUReWv6//JLZOHpyxmumXycJwOlTtXvo2iJBZX6jLj3enousmeYAO799ZTHWzA51JZOOM8Hp1/EaGwTjRu8F9rP6V86Xr2HIjQo8DDA3NGY1pWi5gpn1KCw6ngdDqomDmKqWVDyfM5MU3phNOVRSI6e2vCOFSVXgEPu4MRyh9azxMvftJ6DDlUVqz5wE66y6eU4Pe6ZNdcITqBTvtbHAqFCIVCKY9VVlYe8jWRiM6uvXUtFkz1LcyVA14Wab5b5UUl/SnM95LjcdiL3Va9sJWPtu8l8G8nkONx8K3zTsLtVFk8cxSmaaGpKpoG8bjJ3TeUsuH9rzj3jD4obXhX91jiVXw9um7yRWUo5ff93hvPpz6s249NuGAgE8efypVjT0FVFXTDImpY7N5Tx0knFNg7UyoKuF0aL7z5Bate2AokEqmKmaUcqI9R5Oo8xw+J1SMXiejUR+OoCkSiBjEVcrxObpx4Jj275aJp2DGkGya5Pidx3SQ/12U/bpoWPq9DzkHHQGJVdESd9jd55cqVLFmy5KheEwrH0u8YNqtUDnpZJLlb5UUl/Rl2Wi97gVzyQqqb382Qk7pTua+B+/70jv2z2RPPoiDPzaN/+ZCNW6rs5486sw9uTcXjdrXZmI8lXsXXE6yNpPy+X1TSn1iznU3HDe/H+Wf1Ze7SDSndbl5/bxejz+7HQ0+/nxInXrfGS5t2AE2zl7ppoGTnjcVWSawemUhEp7qmgWjMSOmYlDjOePjr+n+y+tXtdqxs3xVk6DeKAIv5D7/Bohmj0FSF+kic7tKj+5hIrIqOqNNmk5MnT2bChAkpj1VWVjJp0qRWX9Pq7nSGlBhkk+RulRee0495yzak3Xp5b00D4ajOnKvPprYhzjMvb+OBJ99jxneKGTv8RDZuqUq98PK52nSB3LHEqzg2pmlRUx+1e7snfXNYP3S96bEJF57M489vsUtGahviPPXSVn747dO5Y8WbTC0bmhonM0tTWsDppsEvH36TilmlmfqobUJitXXNN8VxOTUUFOK6ydSyoTzz8ja27gjax5lxJQNY/er2FlvCg0L5lBJUDXKcKjluj0z8HCOJVdERddrfZr/fj9/vP6rXHGp3OpEddD1RT1sU8GJZVtoLKRQLp8PBsmfetWehbrjqLP74/Md4XA48rtTnG4bV5l0pjiVexdFrXoaU7O2ejBGlsftI8jG3S+Wy8wfx4FPvpcSJ26VSHQyT53Pa75vcPl5zwPylb6TcYSnIabs7JZkgsZpeclOcisc2EcjzcN1/FFOxclOLY8zWHUE8Lgdas0NKckt4v9dBRLfoUeAhahjsDkbo1yM3cx8qy0msio4oK++BLly4kNGjR1NZWck111zDJZdcclze1+91pd0xzO/tXCfOzipZs7t89WbKp5SgKEqLrgETLhiIZcGdK1NLih586j0mjj+FSEyntiFuP18uvDqXZBnStLLTUTVYeN153HV9KUt+diF1DXH+tn67veDNsrCTbmiKE8tKxEWLOFETnSoqZpayvHwcFbNK6V+Ui6sT1XeL1gXronaZ0nfGnGwn3dAUO98ZczJFAS+RmI7RbM1tsovSO1v3YBgWpgWYCv16SBcTITqbrPyNnj9/PvPnzz/u7+vxOOhbmEvFrFIMw0LTFFlJnkWa1+z+4NtD7PZvT774CWOHn0j3fA/5uS5q6mJpZ8J7dc/BtCwe/9tHQNOFl6YlknrpxZz9kmVIp/Tvxt5QmFBdDI/LgaqoLPhDYjOT2oY4t00diUX6PssNkbgdV9AUJ26XimlBQa5Lku0uJhLRU0oVA3532tjJz3XZa0nWbvwCaIqffQca6FOUh9Z4I6Uo4GvPjyCEaCdydjiIxyOrx7OVbjSVluS4ndz8wOvcd+Norh4/mMWNCfld15dSUxdLW1LkdKh8/q8DTL+imGsvT9Tpag5Y9t+b+fGEYnrIiTDrOR0qI07viUWiy8SyZzbbcZGMh7Vv7WTtWzuZ23j36+A4yfW68LpVpk9oipNPvtiHP8clyVIXFTN0e4Ol6mAYn9uZNnYK870oKlTurePS0kH8+3kD0VQFt0slGjNBswjVxjmxl5RHCNFZyRQeibrPYG2E6mADwdqI7FCYpRyawrSy01kxbxy6YVL8jUKiMdNOugEcDoUBffzMuya1pGj2xLOIxg1C9TGuXfQS8x9+g0jM4OcPrmfs8BOlh3eWisX0xO/2/kRvfl03mXPVmeiGyQNPNpWRJC/Gmvv487128g1NcXL3H9/mxvtfI1Qf44PP9lC+dD19ivLIccnhtDNr3vN9T7CBA7URdu+tp74+ggZomsLimaNYXj6O3BxHix7dN1x1Fsuf3UxNXYzde+spX7oeTVUwTIto3MTlUnGqGif28suOlEJ0Yl1+arf5YqvkIpj5PxohB78s5Pe5GH56L2jMkSeOPxVVayoXGDe8Hwoq85dt4O6fnM+M7xTjcTmobYjz+N8+TpSqzCy128atfmWbfXvYIbGQdSIRnWB9hLqGuN3ObcTpPbm27Aw0RWXB9JEYJqx+ZRvPvLyNX984mljMxDBNe9fTP73wCT/53pn07JbDv/bU8vjfEovjALvjzZmn9CTHrdIQM8nJyfCHFm0iXc/3WyaXUFjgpiFmYmFRWx9ncePCyh9eMoS/vPbPxg5KYWrqYvbCys+/ClExs5RB/QI4HQqhUEz2ihCiC+nyv+nJxVbNF8Es/P1G7p092t7qOdl+LK6bOB0q+TluSco7oIaYTn2DntJJoHxKCRMuGMjqV7cz4cKTuWNFoo43Fje4Y8XGFu9hmCa3TR3J6le2sfatnRQFvATy3LLtd5aJxw1CDTF0PbHZTbLNn8ftYF9N5KAEajg5Xgd7DzQ9ftvUEXYZytjhJwJWi3hJdrypj8RxOiVGOrODe75XB8O8/t5ORp/dj4rHNjG1bCgr1nxAdTDM1LKh9t2Uay83+cWS9SnvlexgUpDrxrSgKCDtAoXoSrr8b3tcT9+7O97Ylk5mxLNHXDdbdBJ47d2djbWUJ6GpKsXfKGTtWztT6jGTEp0pVOavaNpwZ+41JRTme2VhZZbQdZNgbQTdMNE0FZ9HY/CA7vzjw694ZM0Wlv58DK+9u5Pbpo5EU8EwYe2mL7i0dBAVjyUuyuZNGcYJPfLs2MjzOQ8RLwofbd/LuUP7SIx0YrphUfyNQiZceDI+r4ZpJC7SVUXh3tmjiUT1lHhJ/vlQxxmw+Plv13Pv7NGZ+EhCiAzp8om305H+wOhsPIkeyYy4yJxkouV2qS02QEruPJjcuXLE6T2ZfdWZXD1+MIZpUjGzlH01Dfx8yQZ7drwuHGXRjFHsD0UoLEgshpILrOyQvhxgOB9/vo8RZ/Rm+Gm9cGgqY0v6c8eKN+1tu//9vJNAgRsnnkl9OE5hIFFWkjwu1DbE2V+zj/IpJSnvXT6lBI9b5bSBhdJytJPzujW+Peok3v+0iuGn9cLj0SCmYpgm8biJ1+NIiZfkn9//tCpt3OyraaB7vo9514wgP8ed6Y8nhGhHXT7xzs9xM/9HI1rMaCcPhoebEReZk0y0nnzxE6ZfUYxuWCkXUc1LS07tH2Dmlf9GVTDS4iT4pwUXE46a5LhVdu+P8NRLW1n71k6Wzx0nSXcWSVcO8NRLW7l6/OCUbd9nTzyLWyYPQ1FU+6IsGQsn9fZTG9bJ8+Vxx49Hctvv3uSZl7fxw0uG8FV1bcrOlE6XQtw0pT63k4pGdWoaYhiGiUNT7Vg6UBvBGXG0OI7cM/t8fvbA6zzz8jZmTzyLB558j98+vZmfTTo7JW52VYfw53rwulUKC+TOqRBdTZc/W6iqwom9/Nw7e7Rdw53nddk13QocckZcZE6wNsKTL37CtZcPxcIiGjdYeN15PPqXDxk3vB8el8bC685DU1UiMR09brVIzJJbNZcvXU/5lBK6B9z07OajKOCVBZVZoKm0xAIsppWdzsn9u6EbJqaZ2I0yWXsLie/8gSffs7/zdLEwvWKdnUz9cuoI6urj9Cr0keN1YpgWqqqgaQqqonDzb17n3tmjJfHuRHTdJNQQxaEpaKqCZSnohsX0CcUsX72Z6VcUtxo7U8uGMqB3HpqmcNf1pRyoi+F2alhYaI1bVfYt8uNzq+TmyB1TAbG4gcuptdvrRObJ2YJE8t18IWWyprv4G4V876JTmTulxG5Jd/CMuMgM07TQHCrTJwwlGjOo2tOAx+UgFteZesVQTNNiR1WIJ1/8lGBthAU/Pg/DTH/3Ivl4xWObWDRjFBee049hp/WSUqIOKJloW4BDVaiPxKnan/jue3X3MbBfAZGoQU19lJq6GOve+pLLzh/EgdqY3Y2k+XfeXPLx5J+T8fCrJzZSMbOUG+97laKAl0UzRmGYFi9t+FLufnUi8bhBXSROJJboya0bJpaVaDW5ryZixxKK1UrsWKxY8wEVM0vxuVRqGnR8HgeaqqCqCn/630/Y/NnexM+9cv4QCS6nxmU3rTnq1z3367I2GI1oD5J4HyRZ0138jUK+Peok5i/bQCDPw4zvFNOnMBeP20FBrnQ1ySTTtPhqbx2qCk6HRrA2yrJnNtttvOY1Kyu44aqz+OPzH7N7bx1D+hfw6LyLmkoFnAo3P/B640KnxMnTshK9CLvne2SxXAcTi+nsq41gGqCqoCgqDRHd7j4y4vSeTBw/mIrHNnFRSX/GDOvPgN5noKkqv7y2hPpInC9315Gf60JTExvpbNxSZb9/06K3hGQ8lE8p4f+3d+aBUVTZwv9VVVev6SQdSFiGTXZQkDUIBFBA8CkIPBVwGAQRUMBleI4jQT8RRgg4iyPqqKijjDLi8/MhT+RzQcdR8SmgzGMREUEFZQlLZ09vVfX9UelKd9LBsJhOyP39IenY6Tp17+lb5557lsLSQNzvyoMR1ry9V5x+XSAEgxEOHS+hSZqDsvIIL7/zFXdM6kUwqON1qzTLcNGhVRqapoMhcc+UPvx+zRfW30cTbXOnZ/NDfhG/yPLicipEwgYoBjOWvGudorgdsnh+CASNGGF4VyEa0x0bH5zvL2fxs5+R5XOxfF6OWDTrmKrlHCUJguEIug4ep2SV7oot4wWmkbTyle3MHNeDTq3TOZIgvnvl/KEcOFIEVBpeumEQCGrgTeZdN26qzrnbbqMsFKGkLMLy1dVL/gGM6N/WMrr7dW9eLX47NUWlVTM3c1d8YP0O4LPdx6zXEV2zZIjqQ1FJgKbpnrjf3f7798TpVwMh9pQEAANU1QwpLA2E0A0Ih3V8XjuBoMayF7bwx18P5XjFehHVp6prR9T4jjWof8gP4PU4ePPjA4wZ0gGPQ6Y0qLMqdwSKLGO3y8LbLRA0coThXYVolRNFJuFxYkTTyfeXkeqyi7jOOiA29MfndTJ5VGdaNk3B63KQ+5ePeXDWQKvMl2qTWDRzIJ/s+JG2LdLwulUuap5CaVW/q98AACAASURBVEinLBAh1W1n5fyh7DxwkqUvbLPiMhc++T/Ww1NVJT7afpjLerRM9q03WhKV8Hxw1mU47DbL6AZw2m3k+8sZ2b913PynuG3YFCkuoc3lkAmGdWyyjWfvG4lNkfn+SCGzx1e2fT9ZWEYZMGV0F97dcpDc6dm8v+0ga97ey1P3Drd0xOWQee7+K0VN/wZAbAL22CEdWPnKdnp2bMq/X9GJQDCC02EjHDGbJiHJRHSdR+YPJRDS8Tht5M3NweOQCUTM/IGlL2yLi+mOGtQOh0xIN2ia7rF6APzboPamEBIVJ2wyqW6hLwJBY0dYjlVI8zhYPHsgimIa4Fdmt+Hyvq0xDANJklBtMr997CNyp2eLagbnidM1KIoN/blueGccdhlDr2x0o6oyVw++yDqdiBpHH35xiOtHdEro5e7Rvgn3Te/H0he2oekGq3JHIEkSW3Yf4bIeLUV5uLPkTBpNVX2vS7VRVG5WkFAUmTVv7bEM7FnjLiY9xU5Ep9KYVmRsNokJw9ozpHeruPlfOX9ownnP8jm5+XdvW5VNmvrcOB0yUx5415Iry+cib24Ol/dtzQefH4oJJ1HIm5eDL8WBqip4RYfKpBKrPw5VRtPNZDNZlnCoMt4KA9dfHOBwfrGVENmzY1NuHN0FXQfVJlVrplST7rTwOWmZ5bXWjWg+QDQ0af+hAhY9U9lgKcvnQlEkFMVGlk88IwQCQSViRUhAOKLzzqffkTdvMEWlYe57cnNlu+lrL+H+GQM4WViOz+sQhvc5croGRQDBkIbP6+TfBl3EO59+y5Deraz231k+F8vmDrZeQ2VS3KKZAwkE9RqrmLT/hc+KywxHdB5Y9Ynp8baZoQXFHnGicSacSaOpqu9dPGsAqSnOOGPnzkm9KSgOccekS0lNsVMSiA8ziRpEY3I6VKswUXqaeY++fnTtduZc1xOnGj/HUYPq/qc+iasF7nTIpIoqFPWCqqdgN13TzQoxi26qMlLDZk6OXabrRU2QJJg5rgdd26VTXBZGVSU0TammJ6fTnfxTZbT/hQ+oDDnSdAOnQyHV47SqX1mhTeJUVCAQJECsClWIbZhzTU57axHu0sbH2CEd4h7I992cjQTmEbZiVkapKSFP1w2Ky4IEwzq6bmBXlTNK0rxQ29bHjneXNj5uuqYbDlXh2Kkys5QXcPeUPhw5UcKEKzpRUhZmyeyBaDqs+2BfXEe5aCfCdR/sq/j59JUrcqdnmzGYQN68HGw2ib3fmWEoqxaOrPvBaMAkajS15q09zJ7QMy6mtqgsRDCk4VAV7pnaj4xUBxhSNeN55SvbWX5HDoYOumagSDIep41FMwdaR/l5L2zhodsGVZvjn5r36Gun3YamG3HvMz2VMsvn5RDWdDTNQFVlUkRcbr0hVtcS5XU8unY7efNyKC8PUh7SzVMUWaZz23QkScJhVyguDeOyVw8nPJ3umPqiW4b1V9+dpGu7Jthk8KU6Kk5jjJ98FggEgsaNMLyrENswR9cry0ZdN7wTK1+JX+CXPr+FOdf1tBIvc6dn0655arUFN1qF41RRIM4zU9vW8zXFOTsdNlLddorLQ3VmkIdCEQpKQ4ABSBiGuYk40+vGNqdYOmcwO/bl07ZlGsGQxv95unJzs3B6Npk+Jy0yU6odCz8wcwAup2KFmkRjNyeO7IyiyDjU07RrlqBJuoPSkM6Gj/czJqcDx06UYiA3yhregUAkLtQj1WWnPByJ0ytN0/GXBC1DxmGX8Tjt2GxytUZT0Y1q7hOVXUOjFUdiPZPlwQiGIcX97ZTRXbiiX2siYR1ZlghFDO5/Mt4DDbBp66GELblP36a78rVZNk6q5qlUVYmwpiPpEilu2wWzya2P1ORQqKzPruN02NB1w6rN7lBl7p8xgNLyMBlpTnxeZ/WQQFVKGDLSJM2JZEjWqdiZ6E60zGDe3BycDlOXykNhcv9ilpuUJMhMdwmDWyAQnBZheFchtoW8JFU+lL1uNaEnxGm3WT/nvbCF5fNyyPS54x4oElBUGqzmmXnor5/xx18PxTA4reEc9fD4vE6mj+nOIy9/EfcwWfvOV1ZlhqrGfGyDkUSemKghrWk6HpeNQNRDpMike+zoOpUGmSzjcch8uvMwndtk8PuXtllG1cxreyDLEqpaeQ+xnx01hMsCGm6nwvEC86EYbdvdo2MmToetmkf75YqulLIkWQ/Rx++5nAyvg/KgTiRisHz1Vqv844PPxMd6590+mNzHN8f9zuOQCRkGiiRht0sUl4XRDYPfPr6ZFbfnkDs9+4Kr4R2rB4oiodokIhEDTTewqzL+omBcrfpYvYqGWBnA4eMlrH3na9K9dm659hLKgxqKLGGv2ORETx8cdpmFf9lMz45NmTyqC7puYGCeLITDGrIsU1QaxG5TUGSZh28fTJM0N6oqcbIwGNdpcsG0/vTs2JRNWw+R7y9n+eqt5M3NYcc3J0CCBdP6x4UfeRxyje3dAcvoT/c68Dhky1OpyBJOh0xY1ykqDoscjp+ZSETn4LEilj6/pdpGOxDSAYNUl42ykE44olNQEiA1xUFYA7tNRvE4eOuTb7l7ah9KyyJWSGBsnkfVkJEHZw3EppgbvXUf7KumJzXpjschk5Xh5mRhGapqw+1w0iTNwW8e/cj6/y6X2KAJBIKfRjxVqhDbQv6Dzw9Zi3BxWTihJ6S4LGy9zveX47DL5PvLLEO1sDSA067i8zpZPHsgr71vHpMD+LxOThYE4gyehTdn43WrgES6x47dbrO8iXdM7GUZ3dHrReMPb7o6zI/Hy1jz1h7m3dCLNI+DkvIg+Qm8PlGvfCgU4WB+CXkvbGHSyE60b+Uj74Ut+LxOZlzbHQzQDAObLFld1wIRg8suaWmFBkQ9m/c9VfnQu+/mAaSl2AmFNSubvzygoaqmJyoQ0vA4bTwyfyjlQY2IrqMqMsVlIRY/82mcrG6nQu5fPmbJ7IGW0Z2aYsdfEiIc0XA71GrlH+PGZl5OnGHlccjsPHCSZ9bvJm9eDrlPfMyCaf0pKguS5XPRNN1FxgV2TBxb2WHKVd3wuFROFQZ5+Z2vGNG/LRe1TMVeEfrhLwry2vv7yHthCzPH9aCgOJQwxCrFrXKiIEBhSYhwOMLFHZqyfF4OEc1AlkFRJP7066EcLwhUM6I/33OMy3q2wO1U0XUDWTJIT3WS+5ePWTZ3cLUY2+Wrt7Jo5kDrexM9+l85fyglQY1AMEzeXDM0xDAM8ouCZPmccVVN3A6ZgpIwq3JHIstgU2TsNonJD7xt6VpRSQDVZqNZhpsWPqcwus8zUWdEKKyjyKbnOsVl5w93DSEcNqykWdl6PxQHNE4VlZOa4iAz3U0oonPoWLHVGCt3ejaKJCeMy140cyDr/nnAun6+vxxZqvRqb9p6iGYZbpbNHUxEM9A0g1fe28ekEZ3idCda1cSXYsep2igsDXDXIx+SNzfHqnqiqjZhdAsEglohnixVqNpC3mWXyZuXAxjVOljeNbk3f3tzj/W3q+4bTiCoWwt21Duy+s3djOjflrQUOxNHdqZZhps1b+9l8qjO1ueB+WBY9rxp8Dy7fqdVOUW1ySyaOYCsDHdCr3tE183j/nCE+ZN6URrUOXaqtKIyi5OZ43rw2vv72HvQbxmjHrtZXza2ZFZp0DRmTpWE8BcH4+ogR40tp02mKFwZVhAbgnPHDT3p1bkZmm7GxjodNsrKw9gwwxICQY3j/nK2fXmUSSM6cawgEOftumtyb3xeJ/n+cnxeJwXFATzOFBbNHIjDoZDlc+Gyq9gkCadqQ1VkFFnmnil9UGTM0BO7ao1/eSiMpumcLAyQ6XPx8IvbrO6FAJqm4/M6Wb56K0tmD+L+GQNomuZqcA/QYDBCJBKhNKp7FaEipcEwGAahiIHHaWP2v/fArSqUBXXcThuzx/dEQ+PYyTJrDrN8Lu69qT+yBCluO/dO64dqk6sZIqVBHZ/XQdM000t48Hgpf3jp87i5bNUshYLiAPNv7ENxWZjX3t/H8tVbWTZ3MEWlIX63+jMmjexEr87NQDfIm5uDwy4nnEclZh+U5XMR0QxKgzrPvL6TyaO64rDLFBWErI1jNBzLrsosX10576tyRzBz6XvWz1BpqC2bO5jC0iCBcIT0FHedz+OFiK4bFJQE0XSdotIQy6p4tzPSTefD2opNYM/2Po76A9VOXwJBjUVP/481t7++sTcnCsopKgmQ6rbz0G2DSHXZKr8DFZutWLJ8LjQddn99zHKorHl7L9/8UMAt115CBINuFzVl0bNb4vRlckXVm1W5I5id915MSJIZYmW3q6iidbdAIKglwvBOQGwLeYBAqIyn1+3k2qEdWHLrIHTdIBTRUG0y/mKzo909U/pQWqaR90J8qENRScCqHxtbsmp4vzZoum4ZG5/tOmIZrYosM2lkJ8ub7XHItGmWChKW1/3vS0ZTHvOQ8ThkenfJTBjX2L29j4y0S3hm3S5GDWgNQFG5Ga/ocdkoLY9QGgRFNX9/7FRZXGOSaDz78nk5HPEHKCgOVAvBueOGnrRv5avWtMTlVCgpD5PiUpGQcKgKk0Z0IqQbuJ0qD902CEmS+ODzQzy61mx28/2RQvp3bx738L17Sl8emDkAh13mWIJ7TPeoHPEHWPJs/PWbem3c/9QX5M3NiTO6o3Gb1w3vxLIXtiDLEq2zvA3S6A5HIhytGJOoYdK6mZdQxDSqnXYbgVCErm3SrfdFx+ih2wZVy11Y8betzBzXg7zVW1k2bzAnChKX5ist14noOqVBeO39fXFJrrIiEwxrNMvwIEuQluJg3sRLeeI//xddh+Wrt1qnLLE68+f5QwlHjGrz2MSnAlhe8//6xz4mjuxsNc1ZOmcwh/OL4zYIX313ks5tM6x5j43zTtSlUtehSaoLr0vFbhdL47kSm5sSdSbEORkq1re173zFzPE98DoUisoj1ve+Sxsf1w3vhNth469v7GLBtP54nCqHT5Tw55e30/0iH9fktCesmSdmRYFIXC5A7vRs/nLv5VbDpAXT+luJuXfc0LNaiNH9j3xYY15ANOl2Ve5IFMUsWeiy27B7hZ4IBIIzo8GuGt9++y0LFiygoKCA9PR0VqxYQbt27X6Wa6WnOOISw6Ixr7JkNukwMJCoXpnBarLw+g5mjuthNXSpahw/fGdOQqN10shOaBWGzYaP9zN2WAfrOL8sqGFTZA78WMgz63eb5as89hpLYQVDGvfc1Jfi0nBcwtst116CJJn1bn1pDhRZ5heZKXHVI6KfFdEMy7i7c1Jv3vhoP6keBytuz6Fpmivh/T98xxBO+AP88/NDjMxuR7rXQcQARZaQJQnNMJAliasHm3P3i0w37Vp4rdCG6Gf9cc3n3D9jAMGQjsuuVKtukTcvp8Z7t2I0qyTRFZYG8LrVCg+qTnF5qEHEdofDWmWSoyKDgdVhb9TAthg6RDQdmyzjS3VSWh7G7VQpC+qsfeeruDHyFwcTnqK0ykohd1p/7DYFh6qz4o4cdA0MDGtzYpZTMyuF3DGpFwXFQSvc58//MdQysGPDTOZc3wNFNmNse3VuVk1nymsq5zYvh6cWjECRJV55dy87vjnBjaO6Whu/Dz4/lLBb5ZbdRwDiOlPGzn+ULJ8LmyLRJM31805eIyK2+khNOTKqKjF7Qk80Tac0pON22azNU6wHe/b4npSUB7l1+XvWRtzjsp02FyD6/X9qwQhUm6mrO745AcArm/bRvpWPbV8eZc3be3k6d3jC2O5YffHYZcpCuqhYIhAIzokGa3gvWrSIX/7yl4wbN47169fzwAMP8Le//e1nuVZJIHzasoJ3Te5NZror4YNF0/U4j/dz911ZzbDQItRoNGq6ARKMHtiOgqJgnCFz1+TetMzyMmvcxTWWVovK8Oja7WZMYoL78HmdzLm+B0Ul4bgHT2z1iCyfC7mim2fU0Jk4sotlaK3KHZE4DEbT+XzPUYb0bsXfNu7mhpGdadXEndAzP3ZwO0qDOkgGS+cMthqYRD/LoSpxhlWsfJpWUxkwA49boTSk8/AdQyriSyUKSwMsX72NOdf1JHd6Nv/1j33cOLrredKYn49wWOP7Y8XW2EXDJXp2bMqwvq0oLg1RWBKKq57zm1/15bn1u/EXB6z62HsP+pkyugtN01wJcxcKioP40hycLAzw4ReHGNK7Fa+8u5exQzrQpkVKwtyB5hVhTVt2H7E6i1aN1Y4aVc/dd2XC0m01lnPTdG5b/h55cwez45sT5E7PpjwUtnIvonqydM5gDMOwulWmXtKS/t2bW6dCReURqyrF/Ec+tO73QkyoTTbhiGmkzhzXA1+qM07PpozuwqiBbTlZGLT06J4pfWiZ5SXvhS08MHMAR/yRajr2p18P4T/+/BF/XPM5c67rWatcgNuWv8fTC0bgsMuWfkiShMuhWHpza977rLpveFyDJo+9Ul+iyZMeT8M6ERMIBPWPBrltP3nyJF9++SVjxowBYMyYMXz55ZecOnXqZ7lebKm0m67pRjiiMf/GPiyseFg/una7lbATS/SoMvYo/4yMDV1ndt4mcp/4GAyJj7b/wKKZA3nq3uEsmjmQbV8etZo65PvLTytD9POqxmb7vE6mXt0Nu82WMKltwuWdrHhMl0NhwrD2LJyezb9f0Ymi0qBlrNR0bV2HkdntWL56K9cO7UAwpNXYpKI0qJP7l485cqKMZ9fvpF/35kwZ3cX6rMMnSlg5fyjP3XclD902iDSPg5lju1v3mPjeJfJPBli1bgcFxUG2fnmEW5a+y/LV21g4PZt2LVM58IOfHd+cQG0AXix/STBu7BRZJsVl48ZRXYlEDI77y6tVz/nDS58z49qLyfeb9bGvG96JKaO7MKxvK8IRnbx5g3lm4UgemT+MRTMHcO+0fjgcMqpiJq1F529E/7asfGU74ZCRcP7Kgjrvbf2eqwdfRDii1ajTqa7K/f5z913J2iWjrden0+Esn4tMn6siPEvi9t9/wHtbv68IfTGN7/ue3ExZIIJNlfj1Ix/y8Ivb+PF4CWFNpzSo88c1X3DL0ncJRwzy5uWwauFIls/LSVgGVHBuOFSZm67pxrPrd/LI37/grsm9zXyR6f3o1705pWWROD3q2q6JdaLmsquEwhozx/WgSxufpWNpFU2M8v2VFaWimGtg5etYvbGrMr997GNmLdvE/U99Qkl5GM0wLF3L8rkoL9eQKhJvFVmiqNw8VbTbRcUSgUBw/miQHu8jR47QrFkzFMVMaFEUhaysLI4cOUJGRgYARUVFFBUVxf3d0aNHz+p60RKDPq8Tl0ON8ybeOak3L27cA4qR8KhSUuKbNJxN3eF8fzmyjWqtsRdM60+K20xCmzCsPZIED902iIhmoBu6laAG8PDtg+OuEz36nTmuBytf2W5VDYkl31+OapOYOa4HKW6VYFhnaJ/W1ToMvrhxDwd+9PPQbYPwFwcpLAnx3tbvmTyqK4FQBLvNNPybpLl44OlPTuOZNyzjcOmcwZwqCjC8Xxu++aGAG0d1pbnPmdBTvnL+UEJ64vG322Ve3LiHvQf9fHu4iIduG0T/i1uY1Q0UCadN5pVN+7h/xgDSPMlrklJbfa3m2ZcMjvkDuOwKsgROuy3h2KalOBjZvzWbth4iLcXOqMvacrIwYHmxY3MQ5t/Yh0yfi0jFhlOpOOmI6szpNooj+re1PI+JdNqmyAnncO2S0dz5yIe4aijnFoyEWTCtP8+8vpOOrdK5vG9rVuWOQJIkZFu8p/v9bQf55ocCFs8eREl5CH9RkOff2MVNV1/M3oP+ig2hQZZPJFCeDbXWVR1rrcz3l/O3N/eYSethPa5SUeX7dSaN7ESHKmF30TVm70G/tZ5l+cw67LFk+VxE+yHF6s3Cm7OxVUkQdjpkwhGDZXNz0HUD1SYRjGisqEjEXZU7kv/cZIY0/eGuocLobqCcTztAIDhfNEjDuzasXr2axx9//Lx8VrTE4MnCcqtlNVR22JtzXU/2HyyiuDQQt7ijGHxzsDDOAElUJ1axkdDY+NfXxywZFORqrdGjR/eqXWZon9YseCI+vvW9LftZ988D1mtFqbxO9Ii+0pgioaEUjhg8u36nWVnEXr1s18pXtnPHxF5IkhQXfmNWLHDwxH/+L7PG97CMnVjPfPWNhmR9rq4b7Nh3nHe3HDQ/K8152nbOtyx9l8fvuTwuYao8FGbqoreta+T7yzEMSHOZoScum0xpSOcPdw1NepOU2uqrWakmZuximoEoskQgFEk4tkdOlDDh8k7s+OYETdNcVv3z6MYrdkwfefkLls4ZbOlE9N+ozpxuoxjVp3Uf7KtWX3vBtP6mAVTDHObNzeF/dh6hS7uMalVU9v1YRIpL5bPdx/hs9zErRADMahOKLKNJOkhwed/WDOvTiuf+e5dV3z6aWCfCSs6d2upqpMomce9BP7quWxu3qmuO22mjR8fMavkdK1/ZbiVnRnUvGuNdNW8jxa2aCZAVCZO7D/jp0CqVh57bwnXDO+F1q1aFnV/f2JtASCPVo7Lmra+sEJUsnwt/cYAd35xI+oZccG6cTztAIDhfNEjDu0WLFhw7dgxN01AUBU3TyM/Pp0WLFtZ7pk2bxoQJE+L+7ujRo0yZMuWMrxctMehyJPYmtmyawl/fMB/yUbJ8LhbPHsR7W7/nzkm9LePmVEmYzCo1hm0VZf+qVmR47NUd1ufV7GU0IJLYIF06ZzBffuuvLCM4N4cDP/jJm5sDklke0V9RoaQmQ2nTlu+sf/9t0EUJZWiS5rIa10R/t+yFLdwxsRcj+rdFx/RGFxSbtbILSwMJNxrRZLdoWMnlfVuz5u29LHthC3dP6YvP66jR0wqw5Fmzg5wsm8miD7+4Le69WT4XDlXG43Hi8Zi/i/6bbGqrr74UR9zYRfVi3Qf7+NW/dSWzIvY/9lQmd3o2T722g/m/7MNdk3vz8IvbuHtKnzgvdizRmOrYuV8wrT+vvLuXOyf1pqQ8WOP8RY3zqBGzaOZAFEWykiInjuxcox6XBsK8smlf3Gdm+ZzsOVjAk6+ZCco1Gfyf7jrMxe2b8vI7u5k/qRchHWaP78kt15qNo2w2mYlXduGXo7uK5LhzpLa6GtuMLIqmYTUmq7rmBEN6jcm+aSl2cqdn43DIzBzXg7/+925aN0upaIhjhoZs+Hg/Q/u0poXPyeQHzA13ls/FopkD8RebJQqjZPlc2G0KXrdKWShiJV1m+czSqWkpjnqxIRecG+fTDhAIzhcN0vBu0qQJ3bp1Y8OGDYwbN44NGzbQrVs3K8wEIDU1ldTU1PN2TVmWcNiVhA9+1SYzdkgHvj1cFHc8+s6n31od/5bOGYwBZoOdUwHLcx41cDNSHRw5WWrFXd90Tbc4b87pvMThcE3xtAZTr+4Wd0z7yqZ99OnWjILiMGvf+Yprh3Ygd1o2eavNh1Lsg0xWzPjsTVu+Y2if1pSUJ24iZFflhNe3KTLPrv+XZUCFI5W10BdM6xe30SgpD3LXIx/FHS3fPaWP9Vm6bpzW0xo11GQFJCQy0p3V6q7nTs/G47SfL5U4r9RWX1VVoW0zL3nzctA0w2p5vmnrIa4f0ZnXP9jPxJFdWDZ3MJpuUFAcBMPAXxxAVWTSvQ7SvXbLc15TYyhVVRjapzUffmFWo3G7FGaP7wkSYFCt42N0/gZc3MwypjZtPcSOb07EhQrcOKprjXpcVBJ/YvRDfhGhsEaK287C6dm8/M5XcZvYLJ9Zc7y4PET/7s1xu2xMHtUVRbHh8zTIpa1BUFtdjW1GFp0vTdf55xc/WBs3wOomqek6hSWhhPrRNM1FMBLmu8PFVllCf3GAK/q15heZKag2iTE5Hcwa8xHN+rs7J/Vm05bvqm0U77s5G0UxDWqf22n1baipe7CgYXK+7YD6RCisYT+L+vFn+3eC84dkGIaRbCHOhv3797NgwQKKiopITU1lxYoVtG/f/rR/88MPPzBixAjee+89WrVqdcbXjK1LG13A758xgIxUB4/9578Y0b8tzZu48ThVkAwwJBx2mV8tMrvj5c3NQTcMNm4+wMjsdiiyGQe5act3XD24PX946XOuG96JtBQ7zTLchCM6p4rM7oAOVSI1xVnNy3jgBz/dLmoa53GGSk/P4mf/xzqmzZubw5GTpby4cQ/TrulKs4wUq2W4YRgEQxpIEmUB0xgLhs328dE629/8UBBXVjH6YJMk4hL6otdfNncwhgEffH6Id7cc5OE7cigpD3PcX84vMr38eNzsQHfvtH58f6QIp91mHQP7iwMsnTOYWcs2keVzMXNcD3q29yWMD27hM8NQUAwCAY00j51gWMdjlwmEdUIRs016qsveoLoR1kZfA4EIP5wwu48uuXUQDzz9SbV5mHNdT9JSnMiyQbN0F2VBHWQoKg6x9t2vqsV4R/WqR8csFFniRGE5hSUhXnt/H7+d2g8A3TDYsvsIl13SklWv72BE/7bWMf6eb08wJqcDmm5Ycxytpb12yega57Bq45Sol/2z3ceYMKw91+S0R5IkMMzry5Jkfc88DjNsqKHN8YVCTbpa2a1SQ5YkDCD3iY+5MrsNl/dtbVUYcdgVwmGdVa/vqKaPd0/piy/VQVFJiHSvg1BYpzQQpqQsRFaGmyYpdo76A6R7HSAbhIK6ua7ZFJAMgiGdzf/7Ix1bp9OyaQoOVUareOoJfWl81GZdHXv3+jP+3Df+OK7B/J0guTTYFadDhw68+uqrdXrNql0to94RgBtHdY0zGmK9tlHj4qvvTnL4RClD+7SOS5LMnZ7NB58fYu9Bv3Uc+ux9IzEwSPc68HkdVidM09NpegT/9fUxXtm0j4fmZFbz6ERjWmOPaV0OmTc+2s/eg37+vNb0RDdNd1JUGsLttGEAimR6qjTD9GTaVRvfHCqgV5cshvRqxduffsvdU/qSnuLg8IkSXty4h3SvvVqYysLp2Tzz+k4rxjZ3WjaaBu9tOcjI7HY4RTnE0QAAEhFJREFUHQrpXif+4gDvbTlIv+7NqxljH3xuljGMdgh9dn2AlfOHxo1B1ODSdANFkkhPsROOGFDxYPWlNrxOlGeC02mjdWYKefNyUGSpWpjJwunZpkECaLqBZkBY0/m/73zNDSM7Me2ai7GrlWXW7DaZl2LiXbu08TH16m6Wl1FDI9WhUhrW6N6+KZ/uOlxtM5Y7PRtnRdfA6BxDRay5P0ALK6zK1DGPQ6Y4oOH1qOTNM5PdzNCTEGNy2jN+WEeKy8IEwxoSEm6nArqEpplhJL5UM3SkvoQNCSqJbUYWCEQIRCLWCduat/fGbLC+ZfqY7kwe1dVsqDOuB03SnHjdKs/99y5G9m/NRb9IR7XJSEjYFJkMrxOPQ+ZoQaDCINcqEtJNozva6t2uSgzr0wpZlsjwOkWXSYFAkFQarOGdLKp2tYyS7nUw57qeltf2xY178BcHUGSz5Xyqy06qx06nNhm4nUpcqMCnuw7HJYuZ4RsKLtVGUXkITTMNkd8+vhmAl5eMpiyo06NjJr06N8PjkPl/m7+tSIgz0DTDai4TPaZ1O2ROFgeZNb4Ht1x7iZXZf9wfINPnJBDUWbTK3Ax0aeNjxrUX4/M6UZFp2zzV8owP6d2KYEgzPY/A9DHdKS4Ls3Hzt8y5rifNMzwoioTbaWPW+B7cPPYSNM1g05bvuG5Ep7hNx98Wj7IMsLgxUSScdplhfVozon8bJBnuntIXRZaIGKDaJDBM+UsCpiyKAhhmfcxgSMNhVxpNCTCHw0aWw8apwnKcDsXSw0Aogmbo/Hi8hH9sO8T1wzuDYRqr0ZjWCZd3IhLR0Q3welQikcomI2AmxL3x0X4enGUmb6oVlXY8qoIjXeGyS1qiqrK1GZIkiWA4QiCko2kGmenOuI2S3W4aQw67jCxBeVA3u6gqMg5VpixgdlS97+nN1Tz3efNyRChAA8bptGHXFcpDEUufbIrMho/3s2nrITZtPcRLi0cze3xPa1PmsMvMntATXTdw2BVCYTM5U5Yl7BV1tj1OlXc/+95aQ7N8LlbcngOY8eSSZOB02ITeCASCeoEwvM8THodKurd6KEiqu/IoM9GRpq4b9OiYGRfPHc2kl2XJ+ht/TJv2GysShwZc3Iw5/96TovII6/55gC+/9TP16m5xx7T33ZxNRqoTWZYI62ZNcqdDsT4/xeWgsDSIokjcd3M2S5/fwt6Dfv645nN+86u+ZPnchHUDm2yW24p6tQdc3Kyap3NMTntcThuabvDa+/u48rK2OFQbsqQzJqcDMsQklhqEQwYaGv/84keG9DI9Um6nwsnCALlPbKnxOgunZ5PmtWNXbKQ2cVZ2ctQNykI6memuRunVimgGq/5rF9cN74TTDuGI+Xr6mO6WYTPg4mbcMbGXFf8e3ZwtnJ5NRFNQFNnSg+h43ziqK26nDYdNQgd+PFWGphn84aXPrfc8OPsyQmGdZc/Hz5NdlbGrMiHD9LiXByI47AqFpSEWP/NptXATkOJ0MfY70TTtwj69aAzIskRmqpsThWbextFTpeT0asXmHUfI95fzH3/+kIU3Z7PhowMMvrQlLZumoCgSGzcfIPviFjzy8heVOjMtG7sqEQzrvLvlIEBM+J+pK+IQRCAQ1DeE4X2ecDpttGqaEue1rU38YE3hK1UNjESJSlOu6oYv1UVhqVktZO9BPy9u3MPMcT1IS7GTme6iSYyxkshTH+vB93md/P7OoWY8pizhUGW87kpZdN2Ik9Prsld7XVweQtMNxl/eCZsCgZDpBbXZZDwuM+ThVGERa97aw83XXoyMRM9OmRwvKKuINXeS7jXb0Ic1M45XtUnWuMoVDS48DtUaW1VVEDWZQVXlhNUbovWOs3wubhzdFQNokuZk+bwcInrFGCsSqRV6J0tYIR92VSE9pVIHwmENp91GSVmIJbcOwtANbDYZt1OhNKDxu9vM36mqgiybxrYsS2ZSJubcue0qDkWKCzdxOWRU1UYLT6UuioS3CxObTSbL5+ZkodnsKdrd0utWCYQipKXYmXRlFzPBW5bQDYMxQzpAjF6qigSSRCis43HJPHy7qct2VRG6IhAI6jXC8D6POJ22s0rUqSl8pep7ajLQY43yvQf9PLt+J/fPGBBndNdWjozUmuVIJOdPvU5N4HJq2zyVeTf0IhzRcdllFEW2Niu+FEectzoUilBQGrL+f7rHjt0u1DYRiTZn0eTf5+6/stYGbFpKzTqgqgotMjz47TZzTuwyvhSHOYd60NRNx09fJxSK/geQwKHa4ua1Nt8JQcNFliWapLksfV32whbrlESRZdJS1RrXAbsqIwER3Yg7vRMIBD+NqIaSfIQF04CoyRiprde8vlD1PrynOQ+2221kCUO7VtSVHtR0wnAmhrKYV8GZ6KvQF4Hg/GBXFVENJcmIlewCQXgIBSD0QNCwEPoqEAgaG6J9m0AgEAgEAoFAUAc0Ko+3ppkdzY4ePZpkSQSNgebNm2Oznf1XTOiroK4QuipoSJyLvv6Urp5Nc73GwNnGeJcHQpw8kf8zSNQwSKSrDbZz5dmwbds2pkyZkmwxBI2Es+2QGkXoq6CuELoqaEici74KXRXUJYl0tVEZ3oFAgF27dpGZmYmiVN+5HT16lClTprBmzRqaN2+eBAmTQ2O9b/h57/1cvYg/pa9nQ32fayHfuXM2MtYnXW0IY3y+EPd6dpyLvp6Nrl7I8yTu7eclka42qlATp9NJv379fvJ9zZs3b5THTY31vqF+3ntt9fVsqI/3G4uQ79ypSxl/Dl1tCGN8vhD3Wneci64mW/afE3FvdYdIrhQIBAKBQCAQCOoAYXgLBAKBQCAQCAR1gDC8BQKBQCAQCASCOkB58MEHH0y2EPUJh8PBgAEDcDgcyRalTmms9w2N797r+/0K+c6dhiDj6Wjo8p8J4l4bBg1Z9p9C3Fvd0qiqmggEAoFAIBAIBMlChJoIBAKBQCAQCAR1gDC8BQKBQCAQCASCOkAY3glYv349Y8eOpXv37rz00kvJFudn59tvv2XSpEmMHj2aSZMm8d133yVbpDphxYoVDB8+nC5duvD1118nW5zzSm3mVNM0Fi9ezMiRI7nyyit59dVX65V8jz32GAMHDmTcuHGMGzeOxYsX15l8tdGNZI5fbeRL5vidC41lPbqQ15+q+P1+Zs2axejRoxk7diy33347p06dSrZYteJC1ceGPCdnwuOPP17/vmOGoBp79+419u3bZ9xzzz3Giy++mGxxfnamTp1qvP7664ZhGMbrr79uTJ06NckS1Q1bt241Dh8+bFxxxRXG3r17ky3OeaU2c7pu3TpjxowZhqZpxsmTJ40hQ4YYhw4dqjfyrVy50li+fHmdyFOV2uhGMsevNvIlc/zOhcayHl3I609V/H6/8emnn1qvly9fbuTm5iZRotpzoepjQ56T2rJr1y7jlltuqXffMeHxTkDnzp3p2LEjsnzhD8/Jkyf58ssvGTNmDABjxozhyy+/vCB3vlXp168fLVq0SLYY553azunGjRu54YYbkGWZjIwMRo4cyVtvvVVv5EsmtdGNZI1fbeVriDQE3ThfXKhzmIj09HQGDBhgve7VqxeHDx9OokS140LWx4Y6J7UlFAqxZMkS6mPhvgvfshScliNHjtCsWTMURQFAURSysrI4cuRIkiUTnC21ndMjR47QsmVL63WLFi04evRovZEP4M0332Ts2LHMmDGD7du3/+yynQnJGr8zoT6PXyLEenTho+s6L7/8MsOHD0+2KD9JY9HHhjQnteXRRx/l2muvrVet4qPYki1AMpgwYUKNO7tPPvnE+pIJBILkMXnyZG677TZUVWXz5s3MnTuXjRs34vP5ki1ag0CMn6A+8rvf/Q63282vfvWrZIsiqOBCm5Pt27eza9cufvOb3yRblIQ0SsN73bp1yRah3tCiRQuOHTuGpmkoioKmaeTn5zeaI9ALkdrOaYsWLTh8+DA9e/YEqntwky1fZmam9fPgwYNp0aIF+/btIzs7+2eXsTYka/xqS30fv0SI9ejCZsWKFXz//fc89dRTDSKUszHoY0Obk9qwdetW9u/fz4gRIwA4evQot9xyC3l5eeTk5CRZOhFq0uhp0qQJ3bp1Y8OGDQBs2LCBbt26kZGRkWTJBGdLbef0qquu4tVXX0XXdU6dOsWmTZsYPXp0vZHv2LFj1s979uzhxx9/5KKLLvrZ5astyRq/2lLfxy8RYj26cPnTn/7Erl27eOKJJ7Db7ckWp1Zc6PrYEOekNsyePZuPP/6Y999/n/fff5/mzZvz3HPP1QujG0TnyoRs2LCBhx9+mKKiIlRVxeVy8de//pWOHTsmW7Sfhf3797NgwQKKiopITU1lxYoVtG/fPtli/ew89NBDvPPOO5w4cQKfz0d6ejpvvvlmssU6L9Q0p7NmzeLOO++kR48eaJrGkiVL2Lx5MwCzZs1i0qRJ9Ua+e++9l927dyPLMqqqcueddzJs2LA6ka8m3agv41cb+ZI5fudCY1mPLuT1pyr79u1jzJgxtGvXDqfTCUCrVq144oknkizZT3Oh6mNDnpMzZfjw4Tz11FN07tw52aIAwvAWCAQCgUAgEAjqBBFqIhAIBAKBQCAQ1AHC8BYIBAKBQCAQCOoAYXgLBAKBQCAQCAR1gDC8BQKBQCAQCASCOkAY3gKBQCAQCAQCQR0gDG+BQCAQCAQCgaAOEIa34CcJhULk5ubSp08fBg8ezPPPP59skQSChGzcuJHJkydz6aWXMnXq1GSLIxCclhUrVjBq1Ch69+7NVVddxeuvv55skQSChDz88MMMGzaMPn36cMUVV/DUU08lW6QGS6NsGS84Mx577DG+//57/vGPf3DixAluuukmOnTowNChQ5MtmkAQR3p6OjfddBMHDhzgs88+S7Y4AsFpcblcPPnkk1x00UXs3LmTmTNn0qZNG/r06ZNs0QSCOK6//npuv/123G43x44dY8aMGbRv355Ro0YlW7QGh/B4CwA4ePAg2dnZ7N69GzDbTV922WV89tlnrFu3jrlz55KWlkaHDh244YYbWLduXZIlFjRWTqergwYN4uqrr6ZZs2ZJllIgMDmdvt5555106NABWZa59NJL6du3L//617+SLLGgsXI6XW3fvj1ut9t6ryzLfP/998kStUEjDG8BAG3atOE3v/kN99xzD+Xl5SxcuJAJEybQtWtXjh8/TteuXa33du3alW+++SaJ0goaMzXp6oABA5ItmkBQjdrqayAQYNeuXXTs2DFJkgoaOz+lq6tWraJ3794MHTqUsrIyxo4dm2SJGybC8BZYTJw4kTZt2jBx4kTy8/OZP38+ZWVlAHi9Xut9Xq+X0tLSZIkpECTUVYGgvlIbfV20aBFdunRhyJAhSZBQIDA5na7Onj2bL774gnXr1jFu3DhSUlKSKGnDRRjegjgmTpzI119/zdSpU7Hb7dbRUklJifWekpISPB5PskQUCIDquioQ1GdOp68rVqxg3759PProo0iSlCQJBQKT0+mqJEl0794dp9PJY489liQJGzbC8BZYlJaWsmzZMq6//noee+wxCgoKSEtLIzMzk6+++sp631dffSWOQwVJJZGuCgT1ldPp68qVK/noo4947rnnhAdRkHRqu7ZGIhEOHjxYx9JdGAjDW2CxdOlSLrnkEpYuXcrll1/OokWLABg/fjxPPvkkhYWF7N+/n1dffZUJEyYkWVpBY6YmXdU0jWAwSCQSQdd1gsEg4XA4ydIKGjs16evTTz/Nhg0beP755/H5fEmWUiBIrKu6rrN27VoKCwsxDIMdO3bw97//nYEDByZb3AaJZBiGkWwhBMln06ZNLF68mDfeeIP09HRKS0sZP348d9xxB1dddRWLFi3i7bffxul0MmvWLG6++eZkiyxopJxOVyORCLm5uXHvnzBhAsuXL0+StILGzun09Z577kFVVVRVtd5/6623cttttyVRYkFj5XS6un79enbu3Ek4HCYrK4sJEyZw6623itCos0AY3gKBQCAQCAQCQR0gQk0EAoFAIBAIBII6QBjeAoFAIBAIBAJBHSAMb4FAIBAIBAKBoA4QhrdAIBAIBAKBQFAHCMNbIBAIBAKBQCCoA4ThLRAIBAKBQCAQ1AHC8BYIBAKBQCAQCOoAYXgLBAKBQCAQCAR1gDC8BQKBQCAQCASCOuD/A6evSc4p7znsAAAAAElFTkSuQmCC\n", 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\n", 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\n", 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" ] @@ -773,8 +984,8 @@ } ], "source": [ - "pypesto.visualize.sampling_scatter(result)\n", - "pypesto.visualize.sampling_1d_marginals(result)" + "ax = pypesto.visualize.sampling_scatter(result)\n", + "ax = pypesto.visualize.sampling_1d_marginals(result)" ] }, { @@ -801,9 +1012,9 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.7.4" + "version": "3.8.2" } }, "nbformat": 4, - "nbformat_minor": 2 + "nbformat_minor": 4 } diff --git a/doc/example/sampling_diagnostics.ipynb b/doc/example/sampling_diagnostics.ipynb new file mode 100644 index 000000000..f8ad35734 --- /dev/null +++ b/doc/example/sampling_diagnostics.ipynb @@ -0,0 +1,347 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# MCMC sampling diagnostics" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "In this notebook, we illustrate how to assess the quality of your MCMC samples, e.g. convergence and auto-correlation, in pyPESTO." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## The pipeline" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "First, we load the model and data to generate the MCMC samples from. In this example we show a toy example of a conversion reaction, loaded as a [PEtab](https://github.com/petab-dev/petab) problem." + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "metadata": {}, + "outputs": [], + "source": [ + "import pypesto\n", + "import petab\n", + "import numpy as np\n", + "import logging\n", + "\n", + "# log diagnostics\n", + "logger = logging.getLogger(\"pypesto.sampling.diagnostics\")\n", + "logger.setLevel(logging.INFO)\n", + "logger.addHandler(logging.StreamHandler())\n", + "\n", + "# import to petab\n", + "petab_problem = petab.Problem.from_yaml(\n", + " \"conversion_reaction/conversion_reaction.yaml\")\n", + "# import to pypesto\n", + "importer = pypesto.PetabImporter(petab_problem)\n", + "# create problem\n", + "problem = importer.create_problem()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Create the sampler object, in this case we will use adaptive parallel tempering with 3 temperatures." + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": {}, + "outputs": [], + "source": [ + "sampler = pypesto.AdaptiveParallelTemperingSampler(\n", + " internal_sampler=pypesto.AdaptiveMetropolisSampler(),\n", + " n_chains=3)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "First, we will initiate the MCMC chain at a \"random\" point in parameter space, e.g. $\\theta_{start} = [3, -4]$" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "100%|██████████| 10000/10000 [00:28<00:00, 347.59it/s]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Elapsed time: 28.83\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "\n" + ] + } + ], + "source": [ + "result = pypesto.sample(problem, n_samples=10000, sampler=sampler, x0=np.array([3,-4]))\n", + "elapsed_time = result.sample_result.time\n", + "print(f'Elapsed time: {round(elapsed_time,2)}')" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Burn in index not found in the results, the full chain will be shown.\n", + "You may want to use, e.g., 'pypesto.sampling.geweke_test'.\n" + ] + }, + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "ax = pypesto.visualize.sampling_parameters_trace(result, use_problem_bounds=False, size=(12,5))" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "By visualizing the chains, we can see a warm up phase occurring until convergence of the chain is reached. This is commonly known as \"burn in\" phase and should be discarded. An automatic way to evaluate and find the index of the chain in which the warm up is finished can be done by using the Geweke test." + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Geweke burn-in index: 500\n" + ] + }, + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "pypesto.sampling.geweke_test(result=result)\n", + "ax = pypesto.visualize.sampling_parameters_trace(result, use_problem_bounds=False, size=(12,5))" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "ax = pypesto.visualize.sampling_parameters_trace(result, use_problem_bounds=False, full_trace=True, size=(12,5))" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Commonly, as a first step, optimization is performed, in order to find good parameter point estimates." + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "metadata": {}, + "outputs": [], + "source": [ + "res = pypesto.minimize(problem, n_starts=10)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "By passing the result object to the function, the previously found global optimum is used as starting point for the MCMC sampling." + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "100%|██████████| 10000/10000 [00:33<00:00, 299.21it/s]" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Elapsed time: 32.9\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "\n" + ] + } + ], + "source": [ + "res = pypesto.sample(problem, n_samples=10000, sampler=sampler, result=res)\n", + "elapsed_time = res.sample_result.time\n", + "print('Elapsed time: '+str(round(elapsed_time,2)))" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "When the sampling is finished, we can analyse our results. pyPESTO provides functions to analyse both the sampling process as well as the obtained sampling result. Visualizing the traces e.g. allows to detect burn-in phases, or fine-tune hyperparameters. First, the parameter trajectories can be visualized:" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Burn in index not found in the results, the full chain will be shown.\n", + "You may want to use, e.g., 'pypesto.sampling.geweke_test'.\n" + ] + }, + { + "data": { + "image/png": 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8OistXAcgkkgUgQ0uA6WZlHiqHbVE4n+fr1i6oTlHify9JrFctzt8HSIvtkGuZqtNNGu5mwmU3AzIndyzZ4/b32u1WrS3tyM+Ph7AZHSpoqKC12doNBoHY62jowMajYbxtZs3b8aGDRscfqbT6bBp0yZenyl2uB4eQk70DuUDgs9hu7WmAYfPtmF5eSqn9AKC/7jbWy4L+XxywVelhUBgwpuB0gajBZ+dbLbPzXFOG7wbCcSsIGc57Y/PEPpc9tUYEss5VnO8yX62VldmBXs5dy2BlJuiSO1bs2YNPvzwQwBAc3MzLl26hMWLF/N6jwceeABffPEF9Ho9xsfHsWvXLlRVVTG+VqVSITU11eFfcnKyz9chRrh6ktlSKPiERe+GmiyukShvugYRhMeXFBh36ZvU78RQMxCMGqTqyiy89cuVRNATgsaOukbsOHA1YDU8Ymq6wFZvJgSBkNP++i79aQwFIgWMSwkBKSsQhkDKTVEYUj/+8Y9hMBiwevVqPPfcc3jllVegVE6mTL3xxhvYuXMnAGBsbAxLlizBiy++iOvXr2PJkiX43e9+BwBIS0vD888/j0cffRT3338/UlNT8dBDDwXtmkINphoHPh2T6AdE/ZkW9PS7dl28W/CmaxBBeHwplHanTNQcb8L/emNy34tFsRK6BomL0iAWDy7h3oN6tk9c6MCS2Sl+r+Fxd5bc0Q345TM94a9IlL9rgcXawMLdOrzpDumunT8bnuq17gZntJD4atwGqnZXFJIyKioKb775JuPvXnzxRfv/Dw8PZ+zmR7Fx40Zs3LhR8PXdKzhHoviERakDov5MC2blqPGzN4/f1fVWXHL+A00op1V6g7cpMO5qgKjflWQn2Pd/IOoUuCCUR+1er4ck+I6/02npz3a0IgK/+9mygH0e/Sy521K4uabt+iJLhEhNFHp/7ahrZE0P9SYFzJd9wZai6G1t6t2KUHIqEBkc4f/yL//yL37/lBDAYDBg+/bt2Lx5M1QqVbCXE3Qi5REwGC3Q9Y1gxdxULCzRevybvPQ4lM9U4097L0NvMEPXN4Kls1MQKY8IwIoDjzJKPHU5Nceb8Or2M4iQhCEvPS7YywkYpblqrJyXhnmF3FNzbWPj6Ow1YmDIgvL8RJQXJEESPhmcl4SHIUIShm8bu1A5Swtd3whWz0/n9f5iRj9owh93X7onns+7ATHKpR11jdhaewVyaRiyUmL99jnUsz1nZhJkAVAonc+SO7oBvLe/EXqDGV36EcyZmYDYaLnf1+ErPf1GhIeH2c80Z/LS41C1KBOFM6a7/M5steHA180+yxJvzmWKHXWN2LLrAoymUZTmqr36fDoGowVbdl2A3mBGZ68RK+elOewnvrqOrm8Yb+9rsO+LhSVJDrqA2WqDJDwMBqOFdd8y3RtK9tzuMOCRlbmM9yeQuFu/vwk1OXXvmrsEj1Adk/hY9Oo4BVbMTbV7EkgnL//jrSdLP2i6K+4PX8+lXCpBblosegdMyE2Ldfmu6B7DBxZkCN6ZMZjNMai8cfJ8ErzBYLTg68udmJ2nxvbPrqKj14inqgr99nmBfk7on5eRHIvl5an2yEOGRjij0V9nwI66K9AbLDh7tdttMwMm+VBzvAnfXtGhuXNIkKiIN9fX0jUgeMdClUKGDcuyECEJx6htzG13SC7nIZXaT+0LelZKzfEm1H3djPmFSfjyTBvvBinVlVlYVKIJ+rnsLoIXCEJNThFDKgQItuLFF28MsFBDTJ3ivOmytq22AaevdOHhpVlYOT/T/4sUGVWLZmD53DTW70oulfglBS7YAgrw7vm819JGCcyoFDI8vCwb2z+7Cr3BjC9Ot2Ldkmz7WRiMfeLPs/iZ6iIsL08R1Ijy1xnQ02/EjdYBrwwhyhlnNI9iSVmK3RAL5L3cWtOAbxu77EaKkDVxA0NWu+HDBp/zkCm1X4i08EDLByZnKp/2+z39RqjjFH5ZWyjpkaJoNkFgR0ydhLhAFWCGwub3FrHdE4PRgurKLPzuZ8s4dVnTD5pw+krXpFe57hr+UnclAKsUH+6UBOe8eSE6OompCJvP80kKoF0xmUx46aWXsHr1aqxZswaHDx92+3qLxYK1a9fi4YcfDtAK/cfKeRlYNT/NpQEE331Cb0jk7bMQiLNY6EiUv84AdZwCuWmxKM9P5D18lnLGKeQRyE2LDXjHzrYeAw6fbUOLbgjfNnbh/zxXIYgh0dZjQE+/0aHLrlCNsJzro6nv8HbnoL1bHB9jkMve8KbBBRtsDTa4DmneWtOAn715HFtruDfo4AsfORXIgfXOkBqpKcSYi+4pt5dCP2gSRf7o1poGvL2vAYPDFpTlJQZ7OT7D9L1yvSeBYkddI/609zL6DSb8/uOLnPLaI+URkEdMw/7jzVPXMeLzdbT1GEQToROCgSETbONAl34Ey8pTkZ2sQN+QGbFK72skZFIJjKZRdPYaQ6buymy14dXtZ6A3mHG7w4CqRZmstRf3Em+99RasViu2bt2KyspKvPDCC9i4cSOkUinj61977TXExcWht7cXjz32GOfPEaNcAoArt3sRr5JDESlBSbaa9z7ZWtOAP+29DLN1FBeu93qsiaHqTuh4cxZ7IyuZPttb/H0GlOaqkZWiwg9X8K+xoWqnCjKnQxIeBl3vEMYnEBD5plLIMDhsQZd+BPeVarF0TrrP77m1pgHvfnoFclkYtAlKdOlHsLw8FffNShFgxczkpcdhYXEyFpZoedeI0ffGmoUZKM5OcNh3QupXnmqQPNW49fQb7bXwXfoRVM7SQBHJfPZ5S1fvEKyj45ye1221Dfjj7kswGIOjexJDagoxCiwuh26wNxCFpwLMUIPtexWTMkwpEjFKGa7c1vNSdrNSYjFssqKz1/dmCpTAEqMB3dNv9OqAj1bIcKNVj2xtDLLTonHqSg/e29/o8zX6UoTtLzp6DJgAs8IkCQ+zKzjLy1Mxt0A86w4mv/71r/HSSy8hKSkJsbGxOH36NCIjI5Gbm+vy2jNnzuDLL7/Exo0bceLECVZDymAwoKenBwaDwf5Pp9Nh9+7dopJLHb1DeGv3ZVy61Yf2HiMqihIRp4rkXCh/4WY3dn5+HXqDGalJ0Th2vt2tMcTUSEc/aEJstJzXWeyNrBS6iY9+0ISKYo1fzwBFpNRrw4/6u50HG3Hldj/+uPuSYE0fPFGWl4h5hWosmZ3m83u19Rjw7qdXoDeY0aIbxk/XF2LNoky/GlHApGPz959chNE06tX9peSDrm/EYd/p+oax7bOriFHKcKt9EPML1bz0K+fGEVwabLgzoIeNFoyOT9gdjTnaaCgFdKR+VH8VV5oH8NYez8+rGBpTENeiyHE3mI8t/UjI8C9X7qbZSp7Sup6sKsBr/6MyaDUuFFQIftg0ak8l4JPO8VRVoc9DH6mUDCptoq170Ov3EhpfUw8eXZmPxbO1SFFHO1zjnU7f5sqIKXK382Aj6r5uYU2Pausx4MTFTsSpZDhxsVNU9zeYdHR0ICXle6VMo9FAp9O5vG5kZAT//u//jl//+tce33Pbtm1YuXKlw79NmzYJum4h0CZEO5z1WvWkgcdliLPZasNfD1zFsqm/j4uWuk0jYpp7RE9J4jq41ptUXaFnLtHXTV2nEGlm9HUJkSp4tbkP/UNWu4EbyDTk1MQYYd5HrXLURxJj/FbLQyFU2qY0Itxl3yVPV+K+Ug30BjPuK9Xw0q/Y0l99mbGUlBANlUKCR1bkQKWQIEktnJOno3cI4+PAkbPcntdgDKx3hlQPhwBsihdTZ5Ngzb0wW2242daPJx/Iw9Hv2l2KjnV9w4J3P+MDn6LIUdsYlpWn4sjZNiwrT8WozVGAiqFhAMWTVQX2YtDHVs/kXRzsq1JPCSxqzwklCH3FOS9+7X2ZXglS6nr81b0rmLT1GNA/ZMWpyzrWwuJUtQr3lWpEd3/9zYYNG9DR0cH4u5MnT3J+n//6r//CE088gaSkJDQ3N7t97ebNm7FhwwaHn+l0OlEaU89UF+H+ijS7EUXh6fyRSyVYXJaKr75rwz8+UYZZuUkAwFrQ7txIZ8Q0ynvmD+BdFzBvmviwwTSr6NOvmjjLajb5WXO8Cbvqb2DTAzPR3W/yWS6ZrTZ8+MU15KXHYcnsFBw73+7XQcj+5JnqIqyaH7gzS4j5WQDzvjNbbTh8tg1G8yhGzKPo6B2CNsGzMeWpcYS3Roeubxg/XD4THT0GlzOAwttGFNqEaISFwa6DcXle2RpTUAaYv42raRMTExN+/YQQoa2tDStXrkR9fT1SU9k7u4gRqvOKrm8Yv9hyAnqDGfEqOV59YVFAI0PUoe7cdjXYQw29+fyP6q9izDaBcMk0PLoy3/5zg9GCf3jtiP079vegyFChrXvQLrDE0tGQ633n2mnsTueARyMqGF3LfGljv/NgI0bMY3aFiU0Bo99fArB27Vr853/+J0pKSgAAzz33HNavX4+qqiqH1z344IMwGiejDhaLBYODg5gxYwb279/P6XNCWS65g+9zQj9TfOmm6c2zItQzTV/3DxZl4mdvHofeYEZOWgz+16Y5SGVRSNnOMbPVhuf+ox56gxlVizLtDhFf5VLN8SacvarDxtV50CREi+IsDyWEkH9UlJG+7+pO3ka/wQSLbQJHeOgzQjp+zVYbPjh4zaNcFULn6+oxIEIa4bVs21V/FcOmMbsx5s/h86RGagox1khxhcoHVUZJHeoZKsv4C15fCmuZBv0Fq3aKKir2tiiyKCsB6jg5Koocc6p9rZEK5pA7f6JSTDZh4DNM0Z9NUibTcq5j1bw0fHejB4vLUhj3NZ8aCE/DOIMxFHn34Wvo7BvB5VvdKJiRwPvvS7LVSI6TYf2yHLd7mbq/hEn0ej1OnTqFFStWoLm5GX/4wx/w8ssvuzSbeOKJJ7B582Zs3rwZxcXFuHr1Kvbt28f5c0JZLrmDj4ypOd6E194/Z3+uyvISsXR2Cqch8c54c94I1WiCvm5F5KSsHh0bw6wcNd799ApjLYiz/FxUkmQvwKcPcF02OwXJ0xWC1O7mpcdhQbEGydOVAZVVur5hKKOEbVjABU8ymW+dLZfvrKN3CNEsehAlRyJlEgc5kpYUjcFhC/YebeKlTwlVl1tzvAndeiP2TH2+0TyKOXnxGLVNODxXXHQuLnqmUiHj9LwyvZd+0ISbbYP44nRrQGqniCE1xd0isMryErGwJMkrI0oIRdCls9LQCMYnpvlk3PGFXlS8qDTFwbjkU2zKdkB5ezAJPbFdbPDpouXvJimS8DBYrGPYfeQWqhbNYCx+F7IjXTC62+kHTbhwsw+1J5qhSVAiIynaK0ERrZDflca9PykpKUFtbS1+85vfoLa2Fi+//DLy8ycj12+88QZu375tj1ZRtLe3u202wYSY5ZLBaEH/kNlB+RXaUcT2XImhSy1X6N8Jfd1leYkozo63N0VgUvboztG1lRm42jzgcG5SzsuZGfGCNrIJdGdOqiPd6JgNmukKh+/AnwbWX+qu4L93XWSVyVR3SSEbKW2tacA7LN333MkRSXgY7ugMiImW8dan3D2TXJ5Zal23OwxYWKKB0TyKpXO0aGwedGkIQTkJ2HQuIR2ObO8VKY9AY3MvtOpodOnZG2oIBTGkphCzwOKLNxEffyiCW2sa8M7+RsyeOR3PVhfaH3o2b4wQbWaZOrgsLNWicpZG0I49fJUFsbVN90e7ck/ROurADlSXHaYIKR26R9dTpzFPCPleXBk2WR08f6vnp3nl+SPwJyIiAlVVVXj66afx1FNPISvr+1TmBQsWuBhRAJCamsrLiALEK5f2f3UTF2704uA3d9DePYTSXLVfHEVCP1fedvH0Fk+Kukoh89g9jXKO5qbGM56b9Oc7FB0iVNQtPGwaNAlKB8XcnyNVjpxtwe7Dt1hlsj9afHf0DuEdWoSxoigR0TQ5PHkvJ3BHN8S43zM1MSjIjEdFcaIgLeK5PrPUc3juWg9WzE3FuqUzcKdzmDXiU5aXyKhzBdJ5WZSVgIykaKxZkOFXIwoghpQdsQqsQCG0wLqjG8B7+xuhN5hxp3MYS8q0iI2Ws3pjhPBSGIwWxEbLGQVTIIUnE2Jqm863XTkfjyCbV5R+YFcUazwqD1zg4knzdBRXhE0AACAASURBVEh7Mrb4IOR7cSGQnj9CcBCjXDIYLRgYsqC5YwiNzf2Ii5YjNSkKb+9t8IujSKjnyh/RBYD9HKr/9g72HGny+J1wSVVURsk4taymr8WfkRyz1Qbb2LggThoq6jYzM85BMZ9bqMafp6J1fMoCuKSMG4wW7D16CwUzpqO734Qls1Mwe2ai/XraegzQTI/2OpuFjegomcN7LnZq9b61pmGqGckMrFuaw3gtO+oa8Weeozg8zWEbGrFifmGiWz2Jeg5zUuNgs03gVvsAUhPZIz5M7+WtnsnkAOHyXpHyiIBEr4khNYUYBVagEVIRjFXKHQ6MZeXpdm+M0TyKCEkY8tNjEK2QCeKloCvqT/+g0Oscen9SmqtG5SxNUNdFn6/RpR/BvEK12/oXbzyCzspCT7/R7km1jNpQlpuAylmpPt0jIbzfVFROyIhNoKM/gfD8EYKH0HJJiNS7o+faYBsfx+ffTHYDGxiy4NFVM2GxjvnNUeTr3vXXAFG2c4hSUiuKktHTb8Kq+WmYX6hhfZ/RsXFO98Wd0UWtRRIOfH2pk/O5zTdqXXfyNg6dasGf9l4WzElTlpcIdawMY+MTdkNxyew03jXfzinjrd2DiGGQbzKpBK1dQzBbxqCZHoUZWhVmZsQDcHQ0PlNdJHg2S1leIiqKEl2MKEo29wyYMGSyoqvP6JL+7lwzx2UfsznUKOfu0IgV8wqS8NeD1yCXhiErhb2hErVPRsfGcaO1H+Nj43hgYTqqK3M4Xz9fPdOdAyQ9ORoPLs4KmPOSDWJITXEvGVLuhKmQylZZXiLmzEzAsvLJEHR0lAxGkxWJcVGTnkxVJPLS43yOhjGlzXlqDBAMdtQ1BnTAIRP0CfLLy1PdDj8UolHIjrpG7DhwFfeVau2F1W/va4DBaPEpEuVrmuTOg424cKMPN9v6UZLNfC8MRgsmEHjjiC+UIKUrRMFINSQIj5BySQjng9lqw79v/RZXmvRYPjcVur4R+/4S47BpivDwMBhNoy7RBV+iNu7OIZlUgn6DGd82dmHj6jysX+o6qJmSw3zvC5OHnb6WZXNS7Q0BPJ3bfKPWVNe2xuZ+j04aKprC1VBTRslcDEU+Nd/0lPGEWBlutAzgz24yL0qyE5CbHot5hcl2I4rJ0ajh0GacL9EMafV02fzUmnx8PJV2SKXN1Z9pxYdfXMO8wmTOUTJPDrXSXDXmFybirwevYXaeGvu/uo1hkxWz3OxDar8WzojHAwsykZfOX7ZwlanuHCDU3o2PliFWya0xhb8ghtQUoWxI8fEoBbrhgbNBk5cRZ38w6A+2L9EwMaXNscEmdINRw8J1gry3XSCpa6KuWdc3AqN5FP/76XK3hdVsOCs7vt7vjh4DGpsHcPJiJ7RqJZLjZIh28lruPHgVJy92Cup19SdMClGgUw0JwiOUXBKqRpMy0DM0UagsTsHGB/Id9hf9PZ3PNn926XQH9Wwsm5OCJ6vy7cqnr/U3ns6h0lw1FpdpUZDp+vxRcliliMCeI+x1OnzXMjExjoVFSZBJJR7PbW+i1pLwMJgtNsik4RgYsrA6abbVNuCj+uvQD5rw2w++43WGOu8Rrs47eurjT9YVY3vdVbsCPrcgATFK5sgU/Zr5OBr9ASWbi7MTHdI4Z89MxKvbz6ClaxjTpk3gn388n5M85uJQU0RKIZeGYf9Xt6f24QjrPqSfIy26YVRXzuDUqMJbHYfNAULt3fCwaYhVyV0aXgQaYkhNEaqGFB+PkhgaHrh7sH0xKMTsDQWYhW4wa1i4trPm2wWSfk0lOWr7NS+dnYrKWam8a6PYlB1f7vcEYPdcdvebsH5ZjsNzYDBasP+rJk5eVzHgqdMTIXQRSi4J6WzKS4/Dt1e68V5tI4ymUUblxfls83eXTiaoOh7q2bjWMoAfrsiFJDxMsLEcns4hT8poR68RS2anoLN3hNd90Q+aMGyyOqR1leaq0d49jPcPXndp8MSEt1Hr3LQ4zMpTs6ZU6QdN2HHgKpbOTsFnJ++4nEv+dB5SEa3UJJWDQcSnMQNXR6O/oGQzPTonCQ/DtGnAnc4hVC2agTn53J/fvPQ4zJmZgPlF7KmlWSmxGDZZPe5DPueIftCE+jOtXus4bA4QYHLvMtXV+bPFuTuIITVFKBpSXD1KVKGeu4cgkPON/OUpF2L9/vweSnPVWDo7BRmaaEgkYaKoYeFyvVwVDKb9OCc/yUHR4DMDxpOy4+198iQMZFIJdH1GxChlbr2ugcRdtzGSxnf3IqRcclb67+gGEMvgpWejpWsAMUo5mtsG8F5to/25nDMzwSHzwPkcqJylwVt7LgdU2aGUMGVkBApmxLs8G8YRC0bHJ9ClH8Gy8lTkpaigdNPF1J3ybzSN8roe+vmzdHYqnqoq5OUU2n34Gi7c7HOpG6GnQd3pHMaaBRke62e8lcWS8DDW7yNSHgF5xDTsPXYbxdkJMBiteHh5DoqzEjg7D33prkjvHDe3IMHBiOJqxIllbh51LVtrGlBPa0JBx9NzvLWmAe/VeG5OMYujc5J+jrBFmbfVNuDA1804ebHTKx2HfobQHSAUbT0G/KXuGqyjNpTlJaJ/yIJ1S7Iwe2YSp/cXGmJITRGKhhQXBcq5UI/JgxaM+UZi9JQzfQ89/UZYrGOCCP6j51rxTYMO7+xrgMVqQ3l+UlCVXyHve2v3IKarohj3o7PBQ/8u3bVhF2LANBvOz4GzQMhNi0VJTgLWL83mdW+4GKZ8U5y4dBsjaXx3J0LLJWpvbq1pwHs8On9trWnAn/c3YhqAlu4BpCSqHBoJ0XGWS7NnJrlEon2JSpitNoyYR1mfM7oSdqt9EC9unO0SPVFGyXCncwALCpMxLWwCcwvZHTvulH9vI23O5w9Xp5B+0ITOvhHUnmh2qBsZMY9CHafwqssclYYtpAMxKyUWg8NmnL3ajfVLs7FuSTZnx6+Q3RXp6XxM99EfY0CEhjKQewZMuKMbcqgT8vQc32rtx7bP2J0eznDdAzKphHXvU7Vq7b1GLCzWeOWMdKfb9vQboZkeDf2gCeev96I0Nx75GfHYfeRW0NLwiSE1RSgaUoB7BYqtUM85jSnY6X5C4KsgYPoe9n11Ew1N/YLk35qtNrR1Ddmnknf2juCZtfn40cq8oCi/bPfdG0/g1poGe1Hvo6tmclboubRh92XANOB+X1A/dxYIdG82n3vjyTA1GC344NA1XooXn25jgXJOBKvW5V7EH3KJPpqCi3LV0jWAHQeuI0Ypw422AeSkxkESPo5Nq/OxfB5zypSzXKJHoj/96hb+6y9n7UoPH6Pq4DfNOH6hw23THiYljOn98zOnQyYNw7wpI4rprHCn/Ps6D28y8s3c7IKtvXikPAKXb3VDk6BEl34EDy3JxOVbervh4U2XuR11jfjsZBPUMXIkxis4/50nZuWqsWxOiv0ecXH8+qu7ItN93FHXyGsMSLBgG3Ph6Tk2GC345MvryMuIZ3V6ONPVN4zxiQnG58C53pFt71O1au3dRpRkx+N/Pz3PKx2HSbelG9nPVBdhXqEaZXlJ+L87zgY1u4cYUlOEqiEFsCtQnubMAKHRqMETfCIrbEqg8/eQqYlGU7uBV/6tOwWTbSp5sCJzTPfdG09ga/egw6yPuQUJmB4TxfhauqLCpw07W2qhJwXso/pr+OayDrc7B1GUlcD4GmeBUDlLg99+8B3vQ9mTQ2Lv0RsYMlrxiVMnJk+KF5dnOJAEo9blXsYfcolpNAUbuq4BSMLCYLGNo7FZj/tKtXj8gXxkp8ZB7UHppp4bKvUoUh6Bw2dbsPPz69AbzGjvMQKYcDCq3GG22lB/ptWeLuTO8cc1Qkt1T2OTIe6Ufy5zndzBVv+5/6tbqP+2lbXRTcGMyUGjq+enISNZ5WJ4qOO4G0MGowWfnWxCenIM3v/8GuPZ70v3Uud74+m++Ou8c76PKmUErzEgwYZpzIWn51gmleB6ywCGjGb8zYPFWMni9KDYebARDbf7XZwUTJE8T3ufcpxUFGt90nHof8tkZGsSokWR2k4MqSlC2ZByB9ucGTpib9TgDj4RNU9KIP17UERKcaW5Fylq9oFzfN4b+H4q+eIyjaBpat5Cv15vPYExCjmnol5nRYXqjtQ/ZMH/+NEsyOThvOo1nA9350iawWjB+Ws9OHmxE5rpCuSkxjDuC2eBsKg0xatD2VP9YVv3MGpP3kZFsQZd+hFsXJWN+NhIqBQyj9FULs9wIPDVA0/gj7/kkvNoCiY+O3ET393qx6FvW/Hd9V772VC1KBNyjtF/eupRfmY8/usvZ+11M5uqZuKDg9cdnBbuhrxKwsPQbzAjTiVHd7/Jo+OPqwLX3j1or8VkkiHulH8+NZ902Oo/9x65iXPXulkb3VDOukh5BBSRUp8ND5lUAnWMHO9/fs2+loqiRLuByda91JfUTHd/Z7basKv+OlbNS8N3N3qwuCxFMGcj/T5y6c5nttrQ3mPgJZf8CZM89vQcl+aqkZ8ZD61a6fa9dX3DOH+918VJMQGwRmQ97X2hZYO7vR7s1HZiSE1xNxlSzpERLgpxKKbzAdwjalyVQPr3kJYUjewUFaoWZroVlHwUzBHzKGvEhgkhJ8gzQV0v/ZBaPT8Ns2cmcf5MpqJeOmzGblleItISFPjuVi+veg16mobJMor27mGXSJpldMyhM98PFmWy7nFngeDtoczmkJBJJbhyuxcxSjku3uzBT9eX4GbHED784gZ6+kfw+08ueoymCpHe4iu+euAJ/PGnXHKXzndHN4DwsDB8eOiG17UOzqlHFUWJiIuW4/iFDjxVlY8VczPsTouNq/Nwq23QYyOC7NRYFM6Ix/yiREG6qn3+9S1cbRmAVq10a5y5Owu9URiZ6j97+o34457LyNTEQJugcPm+2Zx13jha6DqCSimzt5h+aEkmsrSxGDRaMDEBxu6lB75u9lu3WUl4GCzWMew+cgtVi2aw7jU2Q87dXDCz1YYRWmMQd935Ll3rwsFvW3nJJTZ8aZzBBU8zM7nodsooKW629bs8B56iPXz2fk+/EeFumpRwwd1eD2bdPTGkprhbDKlgtZmlb+JAz0biElHjqgRSBzEVQZmYACqK2duG8nlvvs0d/DFB3h3UIdU3aOEtKJlmdFCwGbtmqw2jtnFsc9MBjAn64f53D5fYU4Wc6wD5pKw6CwRv9y+b0EqMi0Jx9nQsKtFAKg/Hu59ewcz0eJxq0IVUfaK3HniCd/hbLrGlI8cq5Th/TQd1nAIdPUYUZ8XjFxxqHehnv3Pq0dI56chLj8P9FenITZs8V2IUEfjRyjzM0MZw7mK6o65REAW3o3cI4eFh+Mtn13CrfRALipNRtSANqgBFIJzrPxWRUugHTThztRsVhUl46fE59u/bk7OOj6JO6QgjZitadEN4dfsZrJqfho0rc6DTj+C7G314d18DJibGkRAb5dC9NCuF+33ylrz0OFTO0rB2YHPORqBktru5YPWn7+DExU6XememdD6z1QbLqKNcWlCQgBHzKAwjVkTzaJPPli4fyC7JXCnJViMpVor1y3Id5KUQ0Z4ddVfw7ZVuQXQZMTgVnSGG1BR3gyElROoNXyPI+VBz/m8+XXH4tuOlw+VQYlMCqUONOoijIyX2yfBcFVxPCibfph7OE+Tbe4xYNifF74dveLh/2rKnJipRXTnD4YCWhIehrXMQUpmEczEsBXW4p6qjWcP9YklZpRQXi9WGRaUp9rSShtt9uK9UOxUFDJ36RKYzpaffiLFx1yJlgm/4Uy55crrlpsdDEyPF8nlpqCxL83gOMNVSMKUeUe9DnbdG0yjmFiQzer6dFU6+jTLcER0lw3fXdJgeGwW9wYzKUg3KZvJ/Bn1pvuJc/1mWl4iFxUmYk5/s8H0LFQ2m6wjSiHB7Kldjcz9WVWRgdHQcH3950y5zfvJQIeYVaezdSwNRj7KttgFv7bnMuC/p2Qi2sTG06Ibw9r4GZGmisfPQdZdUSepvzl3rdql3Hh0bZzyvnOXSj1ZkoaNvBBdu6fEujwHObOnyweiSzIVttQ1459NGWKw2l+vjogOwRd56+o048PWdkJnL6A2iMKRMJhN+/vOf4/XXX8df//pXpKSkYMaMGS6v6+rqwk9/+lP827/9Gz7//HM89thj9t+dOnUKa9euxYEDB/DBBx9g9+7dePTRRzmv4W4wpHw9bPkOiHXuhLNyXhpee//c1CE9DbfaBjl3xeHSjtcbgeUsiJ3/njrUsrTR2DmVr9/ZN+LVkER3a6NHSNYszEBxdoLbg4Q+QX7EbMPS2SnYsuuC3yNT/hCUdEPC+d4mJShRkBmP+YWJnI0o+loB9+H+YCv2bM6NsrxEzMqNx5LZaaIw9nyJIu882IjLTXq3ndQI3uEvucTV6aZUyjkV4bvrbsdk6DDVCM3JT3bwfDMpnPKpc5Sv44Vtf+ekxUMbJ4dldBx7jzW53b9MiqI/MkDYPO5CRIPpOsL8oiTMoY3gmJOfhPPXu5AYr/g+5XD2pMOP/t35sx7F076ky6e//2Ep3j8wWdvVZzChPD+JcVSGJDwMXX1GxMXIp2r80nHtzoBbY4Yul1KTVLDZvjcwnevI2GCq6eHiUOVyFvuSLuj8tx29QxgdHefthKfrVu4aVSkipWjvHkJctJwxPViM0Tm+iMKQeuutt2C1WrF161ZUVlbihRdewMaNGyGVOm6UiYkJ5OTkYPny5Th16pSDIdXe3o4rV65g7969ePzxx3kZUUDoGVJsm8/bw5brjAc6zkp3SY76+0NuQym2113l1BWHi5fRG4HFpR01dajRD+L7SrXYvLZIcAWXipDo+kY4Gaw3Wwdwu2MQj6zMwYdf3PC7N4dKkRBSUHJR2CThYV57lSnEGO4H3Ds3qOch2EKErwOFTk+/EWenmnqEUopiqOAvuSR0vRsXBwxdZrHNiKPONSaF89DpFry6/QweqszC2soMzkaUp/09DuC/P77odv9SiqLZOoqMZBUMRgss1rGAN18R4v3pHdXskf1EJWRSCWZmTEeqWoElszWoKNayzuvyVzSBy76k1qxNUNr3UHl+Ep6pLmIdlZGVEouCzHisnJuGmRnxnLJDKLkUHSVzMTAXc6zPc3byeUo553IW+zJny/lvt9Y0YPeRmxgdG+PcWAtw1K00CVEeG1WV5qqRlaLCD1c4ng1ijc7xRRSG1K9//Wu89NJLSEpKQmxsLE6fPo3IyEjk5uY6vE4mk0Gr1aKrqwsnTpxwMaScf8aGwWBAT08PDAaD/Z9Op8Pu3btFYUhRE+QBZoPJ0+bz5rD1NhLhrHRT/500XcHYFYfJk+Kpjac3KYtcPD/0Q62iSIOn1xY6HMT+UAbddcGhY7ba8J/bzuBm2yCutw5i/bJsNPsxncI5v9xXQUntW0owDptGsXFVLoqyQ/ew9BZfPMn+9tbxcaAweUoVkcxFygRh8KeDT+h6N3cOGGeZtbWmATfb+vE31YWoWpTl8Fqz1QZFpBTDJis6e0ewZmEG8tLj7NkOF2/1YuP9+ZzOKC7725NyS6Vo2cbGUZY7Heeu9eJPey9DIgHSEqO9NkaD6Ymny88PDl5zuDd7j97EldsDuNzUh4/qryM6UoL0ZP/oRExnCpd9Sc9GoMtstlEZ1N9EyiMgk0oc9A1PNdAAMDNjOrRxcqyYl8bZiKJgMiqYnLRc9qovc7ac/3ZOfgLe29+IhcUaNDbrkZakRLY2BlJpGOu4EMBVt3pwcRbMFpvHzpGKSKnD9TDpaP1DZtZmIRRinGMoCkPqtddewwsvvIDIyEgAwNmzZyGRSDB79mzG1zMZTe3t7Xj//fdx4MABfPLJJ4iIiEBBQQHj3//pT3/CCy+8gO3bt9v/7d69GwCCbkhRE+TN1lFcuN7rYjB5M0DXXScbOt5GIpwfdvohR++K486T4q6NpzfeU67NBpwPNXcHsRBwNVjpr3t4eQ4eXJzt4DkUErZWvN7irDSV5SVCbzBhz1H3qTPe0to9iBgRzwABvHNuCO2tY1LcuO5Hd57Skmw10hIVeHBxFjGiBMbfmRJCKyRMxo2zzJpXlIh3P72C5s4hXLjZ53De1BxvwrbaBrR3D+P0lS5sXJWHsLAwvPnRBayYm4bOXiMvZ9KHh64iliWliI67ekoqRWuGVoWslFjsqp/MDmjrMuL/+1Gpx66udCjDwd+e+PauAdjGJlzur7MS6nxvFpYk4/Nv7iAqMgJX7+hRmqPGJ4dvYcRsRV56nM8ONvrnuztT+OxLvrKqo3cIHxy6jry0WFxp1mN23nSPaXoAoFTIOL2OC2wRME9nsS/t7p3/dtmcdAwOW3DhZg82rZ6J7Z9dw+krXWjrMrrVASZ1K6u99KEkJ8Fty3o2hwFdR/vRimycu9rD2iyEQqxzDAPiDtmwYQM6OjoYf3fy5ElBPqOoqAhHjx5FdHQ0Wltb8eyzzyIpKQmLFi1yee3mzZuxYcMGh5/pdDps2rRJkLV4S0vXAA6fbYPeYEb/kBWnLk929Dp0ugUPLcmCSiGDSiHD6vnpOHS6Bavnp3ts5LC1pgGHz7ZheXkqnqku8rgGpvkgBqOFc8MIZ1ITYwBMekOoazt8tg1r78t0GRyYoYllfZ/Na4vwYGUW4mMiOX/2k1UF9u/NHd5em7dUV2Zh1fx0j7NYnF/3cf0N+31/ssrVSaAfNPH6fiiSpyuxvDzVvk+Sp0fzfg8Kg9GCQ6dbHPYtAHuhL30vCwHf/R0q0L/Hs9e6sGp+GpKnu58Fwvacmq02t3uHvs96+o0uz+XkbJcbCA+bhmGTFWarzWXv8hkCShAXLV0DSE9iP3t9xVlmpapVjOcNtc8eXpqN3UcnB1dfburFuWuTM6yOnm/H7362DCqFDF29QzDbxpCRzL5u/aAJB0+1wmgeRWFmPBaVuI88uDuTnqkuQkfvEN744DyWlafiyNTa+ez7fcduYffhm/j7h4tdzkghZdBH9VdhNI3hyNk2rJibis1rJ8/FbbUN+PKM48+c703ydCXy0mNhNI1hw7IcvLuvAUbzKPoGLXjuP+rxyMpcVFdmuft4Fyi5RP/8x1bPtBuku+pvcJKHdDq6BhAmkXg8E5nQJkRjXkGSff9p1eIp5aDO4iGjhfU1z1QXMepP7jAYLTh2vh2NzX34xyfKMCs3yf5eHT0GaFmeSSZqjjfh68s6/P2GYiwsnTTkFpelYlf9DTyyMtfhPu6oa3SrszxZVYAHFqRjbHwCv9hywq4frlmY7rIG/aAJX56Z1CG/PNOGByuzYB61QZvgvb4iFAGJSG3cuBE/+clPGP+FhYVh//79qKioQFLS5M3duXMn5s6d65LaR8EUkZJKpZDJJg+jmJgYdHR0oK+vD/Pnz3f5e5lMBpVK5fBvfHw86DVSMbQUt5LseMzQxjBGVLh2I2u43WsvxvQ20iCU54zuDVmzMB0FM6azRlbYCim98Z56it6wzWnyR9oFPY2BybPHdN3uagbo6+PjqWGKUDqnSHjL7iM3XNK8+LYi50pr9yD+TJtOP7cgwW0b9lBiAoDFOgbLqA2zctR4e1+D23vL9pzWHG/CkXNtOHa+3WXv0Pe4JDyMNWIsCQ+DKioCsSo5jp3vQPg0ID8z3q/XT5jE3xEpKgPC11bins5LZ5nFdN5QHvkTF9sxrzAZ06ZNIFMTYy9Sf3h5Dkpy1Pjmchu+vtztsTkRlcnQ3m1EeX6izymM0VEydPWNoN8wgp8+XIyirATOaVWfThlReoMZd3RDWMqxmRHfNKaWrgG06IZdOtSZLDbW9Hjne1Oao8YMrQqZ2hiMmEcRER7mtuMaU3oe9TNKLiXGyfHxl7fsn79ybhpUCqlXTY32Hr2Oy7cH8A6PDnrOlOUloqIokXOaHtesHiHYUdfosQaKT03wjrpG1BxvwsmLnWjpGsZ313sd7iEVZeOiA1Dph7q+ETTc1tvfhymbiUv21I66RjR39GPUNoYYpZyxWQgFPTPpkRVZOH+916c9ICSiSO3T6/U4deoUVqxYgebmZvzhD3/Ayy+/7NJsgoLJkOru7kZUVBSmTZuGgYEBvPHGG6iurkZWFjfviViaTZTlJaI8PwGVs9LcGkxcDITff/wd5rB0suGCN2mE7qAGt97uGGY1znwppOQL25wmf6RdeCoi9XTd7owRPjVkzrVQdEHta1pjT78Rv//kkn0my7olWfYDPy8jDg8syBA09StG4TqnRmj8PUyRCWqvLCxOxg+X59jTLtnuLdtzSgm9O50GLCtPdTBunfc4U+69xTpm/6xYpQzv1VxBQWY8jpxrQxgxpgKCP+VSS9cA/kxr8lOe79kRwTSigut56Sw7mM6bvPQ4LC5LwdyCZORnxuJsYxdWz0tHpCwMy+akYtBogVwSgU+PN2FhsQYXbvagICOWtVkNW72Nt6M2SnPVaO8dwrUWA2c5ZTBa8LtdF1CcnQCD0Yrqyiw8umqmR2com3PMnVIfo5TjSnOvS+OASHkERsxWxEbL8IP7MlCY5XifnO9NpDwCkvCwye6iOQl2o+fpqnwkxEQ6pOf998cXEK+SIi1JZf/Zq9vPID1ZiQ8OTUaddPoRLCzROKTnsynf7nSMO7oBmC1j2Ds1nsSXVHSuaXru5lO5w5uUc19qoJigZAPXodqevkd36Yd8aw+ptT35QAHGJ4CTFzvwUOUMnL/ejbz0GMbmZNTzrI6Pwju0cgQuXRT9iSgMqZKSEtTW1uI3v/kNamtr8fLLLyM/Px8A8MYbb+D27dsoKSnB2NgYli1bhtraWnR2duKDDz7A8PAwKioqsGfPHvzqV7/CRx99hE8++QTr16/Hj370I85rEFJg+TqQli7MvDVcJOFhGDHbcOlmD557uAT3V2Ry+jv6QXbhRhcUkVJeRZlsdPUO4eMvb6Lhdj+jdxwALtzsZhyu6g+c5zRRnrYR86igxiP1We6KSLkenmyG9Wdf34YmQemxOMWBbwAAIABJREFU4w69Fmp0bAxdfUZB842pqGOLbgh56XH2/G1KsCojIwRv3U4Z50IbUV19w/j4yxu8jPqO3iFewxqZoO8Vy6gNFYVJGJuYcFsfyCawKKF3tbkflbO0+LsNJZhXmMxoeMWrIu1G6drKDDTe7nfYG5HyCEyMj+PIucnUiubOobtuFogY8achFcMwMNcdTCMqhHa2Ad8rZDEKOa7e6ceOz68hQxOD+2alIDpKhtvt/cC0MBw+24YFxRqP3fucHQ9cRm2woesbRk+/GbUnmjnLKZlUAsOwBWeudmP90mysW5Jt/zmFs8OGzTnGpNQ7/21RVgISY6Sorsx2OC90vUbYxibw6bHbrEYvk5EWKY+wGz1fX+q0nwv5mfH4748vYHaeGrsP34LRZEVeRhxe3X4GRvMoxsfHUZQ1Hbq+SSNq89oiu1FLzZeknx9cDPJYpRzf3ehC8nSl1w5iZ9wZb97WD2+tacCfOY5+ocO1BorrfE4qQ2RoxIrl5an46Q9n+dysik8tvadggNE0io5eA2xj45BKI/DpV7dRnp9kr6tnIlIegegomcP3REUWO3uHECEJD7hcEoUhFRERgaqqKjz99NN46qmnHKJICxYsQElJCQAgLCwMzz77LP72b/8Wzz//PJ599llUVFQAAEpLS7Fp0yY8/vjjeOKJJzBnzhxeaxBKYPnSSpgNbxW0vPQ4LCrVcs4hpR9k8bEyyCQR+OTwTXtRZnFWnFdtqj87cROKSCm2111l9I4Dkwrk7z48j7mFyV4VUjKhHzTBZLEhUh7hIiDoc5roXhp/pKG58+LoB01QRklhsdogiwjHvMIkLCxhv27nA99gtOC3O79Da9cQHqhIx0NLslmFAr3l8FNr8vHx4Vucolh8cG736k1bfb6486J7So1hijhtrWnAoNHKS1naWtPAmGZAd6pweY6pvWIbG0NOahze3teAytIkPLIqF0tnsyuMbAKLEnozM+Lt+4Jtj1P3LicljlGJy8+MR9g0oLlzyG/dIwmO+NvBR2VAeDKi2EZU+CttF2CPmMmkEry155L951zPLrPVhvYeg08DfZVRUly61W13XHGVU6W5aiybk8JoIDBlIzA1WKIr9Q8vy0AEJvDxkVuMzh6VUu7wnZitNtSfaXU7psBT5MUwbHE4F1bOTUOKWoHdU3JEpYiArs+I9ORoJMcrcP56LxbP0uKZ6kK7QUcZg87zJT0Z5PSzMz9zOpJipLh/QYbPRpQn442tTT8TVJSTnnI+OjaGgsxYztFPs9WGuQXJrHMRATB+f0x09A7hrd2X0d1vwvyiZOw92gSLdYxzlo27gAAfGe4p5TdDE4Pi7ERoY6RYOpd7ZolzeuaOuis4e7XHJcMoEIjCkBIDQggsfyiNbAoaV7h+vvNBtmFpDpo6+yGLiMDpK124r1TLe2AqMPkwA9MQHj4BiUSCFt0QCmbE4W/W5qOS5nWQhIfBYh3Duatd+LsNxViz0HUgMx921V/FpVt6fHayyT793Pk7zE2Lw6w8NR5cnIXk+Ci74EmMk2Pd0mzBlIL27kHkpcfjB4syUZLz/SH2/oErONXQha21jchKicHZq92YX5iMtKRozveNUmRutg1ihjbG45qpPOjCLLVdUFdXZiBLG+sgeH1pMUo3OPwx4JcrnurGmBQYSllpajegskzLSVnq6B1iTDOgnCoJsXIcPtPK+TnOS49DfmYc3tnXAHWsHDKZlJMHnU1gMe0lNsNLESl12yUzPzPeb8M4Ca4EwsHHpa7Q3YgKtr3E1WvOxtXmfiiiIlwiZtT+1BssWLckC7NnJnl8L+r6S7LUiIqUMF4HV4dl4YwEaKdH4oEFGS7ngjvlk+n5dJeN4JyWSCn1Dy/LgDxCin7jKD6aatjgydkjCQ9Dv8GMOJWccUwBl8hLpDwCltFRpCZGozQnHvMKNUhLUtk7uP3d+mIcOdsOg8mGhqY+6A1mXG8dwMPLc+zfSVuPAe/S6lqp+ZJ0g3xtZSZyUmMdhr06n53RSrnPqeiTDX2a8cTqmTh3vQuzctWsszk91Q7Ro5xLZ6dhcNiC0bExzMpR4739jZyyPujPKNueZvv+mKCiNvExcpy40ME5atzeY8Cx8+2s54WvGVfOUGs58l0Htuy6yMsIotL5OnqHcPBUi9taPn9CDKkphBBYQiuNbAqaEDg/DEyexbSkGGhjZVg8J4W3EUV5+qOjZDh/TYeBISuUkRKsLE+DbWwM5YXMg/YWl6UgNdE3z6t+0ISbbYP44nQr1i/Owr6vbrMKCEl4GN4/0Ig/7r6EiPAJnLykw9v7GmC22ARJd9t5sBE3Wgdx6rIO737aYD8k9IMmfHayGY3N/YhRynD5Vh+M5lFER0l5e1S4Nh+hoK6fEtQNTXoHg0PoFqNUVCQrJSZgB5unujE2BYZSVm60DqA0Nx4/WVfs0ePMlGZgMFrsc2+WzUnBri9vcnqOqeeSes8ls7X4mOPf8sWdMHUeXUCHpPMFDjE5+NyNqGAaYMvFa+5uzf93x1nMzZ+ONQtnQBI+gRkp35+HZXmJGBsbw56jTR7PSvr1X7zVi18+Mw/zCxMdrsOdw5Ip9UsZJXMxWrzJRvGUyuXszCrLS8TYxATkEgm2H2jklcGRnRqLwhnxjLWqXCMvl2714U6nAQmxUSjJnpw1RMmflEQV2ruHEB4WhuTpUYz1OCqF41lJP1+o97nSpLdHiRLi5A460MKiRIxDmBmPX51vwTjC8FH9DZTmqN2WLrgz2piitcvK01GQGWv/OV0G9fQbER4e5tKwg8sz6u77Y6IsLxFp6ihMmxbGKWq8taYB9d9+H7l0Xos3e5yL4eXrGRUdJUN795C9MU2gnbbEkJpCKM+ft7OYmPjueg806igsLErG/RXpyEsXZmOwPQxMCrlSIeedzufs6c9Nj4cqUgJtfBQUURHISWfv2Ofu4eHaSS9SHoHG5l5o1dE4d70bi2drUZKdgJkZsagochQ2dIV7zYIMzgovF1q7B3HhRh/auoYYa7EGjRbERsvR1j2MFXPTEB42zWuPireCpW/IhHf3XbEf9hXFSXbBJWTK34GvmwVPeXWHp9lj7hQYygM5v1DLuUaPnmZQc7zJYe5NWZ4aMUqZSz63M87PZVleIiIk02Abm/D4t0LjqyJMEAaxOfi4yALKa56SEIXlc1MRNj4GJYvXnK1rqiQ8DPEqKd6ruYaa47dxvWXQwZP+6bFb2HPkFqezkun66dfhzmHJtZEGH0WQnnIOTNV5FqqxlOOzHauUo7ljALZx4GpzHzb/oABrK7M5/a0kPIxVVniKvBiMFpy82Imu/hHMmanG9JhIh3RhYFKH0CZEYvHsVDy4OItxr6UnRWPJbA2jEWAZHXPIjFm/NNs+7HXDshlovDOA/9510edGUB29QxgbBz48dIM1usO1Ux9btDZWKXeRQTvqruDbK90uzlI+z6g7JxcweZ90+mF7OqFSIbPrdjMz4ljvP/XcsjWm8MbY4Wp4CXFGleaqkZ6kwCOrZgY8Y4IYUlMImYtuGxtnFA7u6OwawJB51J5aYLbasGXXd8jURGNoxIaTFzvR3j3E+fDo6huGRBLmsgZPD4Ovnh5WT79CBqVCjn3HbnsUTExpZXw76RVlJSAjKRoLS7RoaNLj0KlWpCVGuyiFJosNo7Yx6PpGMEOjRFK8QjClNUYhx822fqgUMqQnRaO8IBGr5qXj6Lk2vL2vAfkz4rB+SQ7WLc3GnPwkLCzRIFImCVga3NaaBuw5egsLijX2RhWLy1J5Dz/2RCDqpJhg69hF/z1bLrq3XaCoa+0ZMKFv0Izf/uNS5KXHe2y3y/YdKaNkvFv1+grX5idCp3gQXBGjg88TKoUMsghAJpPiw0M3YJsAozHO1jWVgp42RvekO3fBe3h5DoqzEtyuyd31sxWu82mkwVUR3FV/FZJp0zAN03CnYwDJCUqvGhMkJyihjZFidkESirK9MyiYUhndnXsTAD4+PBm92Xe0CRYrc9aGSiGHJNxV9wC+T7cGmPcEU2ZMWV4i5hUkYMg4ij1T3fqc7wdXo4e6ZipTRh03Ke+frZ6JmGi53fjg26mPLVpLl0E9/UYc+PoOGpv7ESmTYGZGHNKTv0/j5/OMsqXzfXe1C1+ea2NMBd9Vf4NVh+rpN0IzPRqDwxa09xhRnBWPXzw9z6UrHx9jh6/cF+KMinZqYBIoiCE1hVACy5NwYGL/VzdwsWkA79IeXEl4GNSxcozaJtDebURjcz/iouXISlFBESl1q8TsqLuCM42uXg9AWO8kU3vPEfMoRm3jjJ5+LoKJKa3M285QkfII+/yM8LBpKJwRj8S4SLtSSH3W3PwEPFWVj/ICLcryErGgKBHzijSCPJAl2Wokx0jRpBvCoVOtWFKmxc6Dk50J27qMWDE3BbHRk0N02eYxOCOEAkspy+09RoyOjeHlv5ln93B5MkD44u2e86VOi4JKpWCLLAndFZJ+rdTcGwp30U1P35G3kVFv6lS4dI7yR1MdgitCOvgCqWBERkocZrw5e/vZuqY6pzvNyU9y8aSzdcFjQz9owrDJ6rYWjMlZQVfq1yzMQHF2gtvGMXnpcVg6OwWzWBRv/aAJ8vAwnL3Rh621jZDJI6COkzvUvLirc3LOyFAq+WeLUHhTe03pJFQUh2/GAtcxHZqEKNxfkW6XP1trGtDRN4LPT7WgoigZPf0mrJqfhvmFGvvvuRg9Ow824rvrvTBZLDh/rRfnrndjeVkqVi9KxsUbg3hvfyNGx2yw2cbsMpqpHIBNLjHdi55+IxJiowBMnqvt3UOYnTsd02OjUHuiGUbTqMvMPm8xGC2YGJ/A1lrXZirudCh6BtEz1UWYV6hGZVmaw1ooQ5VNP+npN6J3cMShqYY3cj9UHXPEkJpCqFx0T8LBmTu6AYyPg7EOQpugRFPHAD7/ZnIK+sCQBT9ckes2TUrXN4zPv7njdg156XFYWJKEOfneN1Ng8qJRDyRbbYmnDk9sB61MKnFQ7Pi0YY+UR8A2ZkNaUjSGjDZcbuqbLLqNltkNrIQ4Bd799IrdeDvqptDSG6xjE/br6jOYUM4y24sykNztFz4KrDtDhK4sLyh2TbNg+jtfhhLy9TYJVacVyLlkwOTzPL9Q45Vnjet3xNWQ9iU9z120LlgRxnsRf8839LUhBBueajnYuqZSUOecQi7BuWs9Lp50d13w6NSfasK3jT2czgAmZwWVEqXrG3FpHGO2jiIjWWVXSHfUNeL3nzCnnZmtNkQrZBgx2RwU3VXlKRifmOaxzolrRgaX9Hdfaq+vNesRq5J7HLXBtBZ6unXVonSHTqIUOw824nKTHm/va4DRNApNQhT+tPcypOHTkJcej7PXuvHoylxsWJYLgHt7cl3vEK7c7sfJi52oXpSF92obkaKOxt5jTVg2O8N+T0qyE3DkXBvr/E0+colJ9pTmqjFktOJDjk1C+CCTStDcMQi5fLKZyur5aZg/5RBmcwowZR9onLo8Oxuqzmf9sfN3cKqBeUC2O5lGyTEhHKbBhhhSUwiVi84mHFi9GEo5zl/vQqJTShnVSjM7Nc6h5XBWSoxbJUYZNen1UMdGQaWIwJqFmSjIdNzEXD04lCefymOn0hXp7T279COYW5AA6+iY/YFs0Q3j/op0XrOQAPa6Fv2gCTs+v2pvw76wOJnXg6eZrsDRc21QRklx8mIn4lRylBckYcQ8ipkZcQ5T4CtnafDbD74TVEmkX9fcgiQ8U13kkot+8JtmHD3fjhHzpHBmgo8C6+nANxgtqCjWuG2zSheE3g4lpMP1e+QzYNgd3g43dBfBcmfE0Ds3zS1w76Sgz7ugv6dQOefO3Z0qCtWYwDReqbvuOoAFqxOjWDCZTPj5z3+O119/HX/961+RkpKCGTNcO42eOnUKa9euxYEDB/DBBx9g9+7dePTRRzl/jj8NKW8N7Z5+o8OwZjY81XLQu6bS9xB1zhVmxuK+0hS8V3sFFYWJWDYnDRLJNJe6HHfrNFnGOXe2Y2MCsJ+7VOMY29g4UhOj8cfdl2A0jSJTq2L1+Nccb8K22gaMjo4iMSEcwPddA5fMSXfrtAC4Z2SwGVvOusfRsy0u+gYdNl3FbLXhX/982j5q40cr89xkxTCvpSwvEYtKknGjddCl1qmn34iz13ocWrQ/uDgLqqhwSCQSjI1NIDtFBWWkFFkpsQC4NcnQ9Q0jKlJqlynAOHJSY3HuWg8erJyBRbNS7O8xMyMWKoUMN9v68TfVhaha9P0oHj5yiU326PqG8e7+BkHHvNBJTlAiOyUGi0qSMGgcdZAVqYlKrFmQge5+E17dfgZyaTj0BrPdMGZaiydDtaffCGm4BNs/Yx8pwLRHao434e19l6DrNeKPe77XU7wZ9UP9TUvXAKcOpP6AGFJTCCWwmIRD3YmbsI1N4LtrOuSmx7v8zcyM6UiOkWLl/HQsnp3mMjCQ3nKYixJTmqtGW/cQvrnchYIZ8Q4KF1flcmtNA7bWNsIwbMY3l3X49koX/rT3MmKVUuh6hzE9NsqhLS3XQXKA525h9LSyjt4hJMYr0DswglMNXaicpeWdchYpj4B1dBSfHpvs3tfdb8IDCzJQUaSBNkFhr5F6eNkMXGsZgFattLeInZPvubUuBT1i46yMu7ay/f6wMFtt+OZyJ4ymUdSeaEZ4+P/P3nsHt3Wm56MPOkB0EB3sBSTYSbGIElVWcpHXtlyya2u96xJvy73jJDuT7CR342Qmk5mbuZPNbja/bdbaXtmWLblIllUsW8WSbEm2emXvHSBIgAABohK4f4Dn8AA4BwApWruZ6J3h7I4M4Jzzne976/M+Lwtl+cn7JFMHNp3Cpxo5AruduAeon9GqRCsaSrhSSUcUkaksZ08SkqqClSqIYZqzQxV/MAz7tBsffTGAK132xfMVwK/evc4YGFGDrEwC6ckpF/zBBRLvbnPMY1trHgbG55bVY5hO7mbPzZ+jvPLKKwgGg9i1axfa2trw0ksvYceOHeDz48/R+Pg4Ojo6cODAAXznO99ZVhAFfH1zpFLRKBNJPDp572QX2geceOXDzLLy7vlgyooXl8OG1eGJ+wyXw0aORgJvYAH7T/fh+YfLwOdxIORyMev1Q58tSfush88OYN4fwodn+rFpjYkkbCrOSdar6YSqdwniGINajJt906gqVGPG7UNzhR7hcCQJbUGc2Qea81FRLMXpq9NQy7h4aosZFflykoQj3UBfLgfY0piLmhIVyguS+8Hc3gB2HelAWZ4KtwamsaHOCAGfm5RQc7h8+MWe6/D6gnhuWxnW18bbhlQJOGIdbg/MoL5My3j2UwV++071YHYugAM0vU5iER99Y07S/m7fWIh8nQwqhQgnLozgRu80LnbY0DM6G6f7UpFkEAnAaDSCQqMck9NeVBap8dzDFagtUWHt4sxGosdpfU0O6sxa1JVqUJQTr4+XY5eYbE8s0e1ZNkkIIZmgQgR8LgR8LmkrXN4AZhb9p1NXlhj5FiIRnL46HiPy2FSE7ZuKk+wJXaBK1SNiER+3B6YglywFY+kYnokz0VplwKkrsQHvWUIOhibcy4ab7jrcjiudVnQNO/H6Codsr4bcC6QWZbWx6MRGc7h8uNI9jXeP90KtFCNfJ6XNYkglQkQBWB0eWocsEZqXyonxB8P4+e6rcQ4XYawycS6JYEsuEcDrC8HrC5FQwVqzBnuP9wHRCF58tAJryrVxcy9SZdYyFWJ9qDjuFx6pvKO+nUKjAh6axmWRkEcGOQa1hGwGlUn46B114YGWPHA57LTZDkJhR6ILuNhuo3XGmbJXk9NunLw0Rq7xUIpqUyYObCqFTzVy0WgE41OepHtNNISPbVxiTlqNSfLpxGZ3oyRXiW+uK7zjPq3l7MlUSYZUQczhswOwTbuhy5YwGpNL7VZ8dmUUPB4HF9ptJO09MW+FLjBKDNzSBdL7TnWjfWg2Ce9eXaxJm9FeCbwicX/eCfTzf5r867/+K37yk59Ap9NBoVDg4sWLEIlEKC0tjfvc+Pg4zp07h6effnpF1/m65kgxQe8Sk3hUsTu9GBh3x1XwqUmaxD2UScWL6TPhSBh/PNQJ68w8vvtgGUZsHgzbPNhzrCets0Sc1b4xF9ZW68Fhs+CcC2Hv8d4VO1qE3i02KVBn1iJPk4VgOAJ/cAG3+magU4qwrsaARzcUxaEtiDN77uY4mstN2HWkE2dvWnGhw4YNDaaMe5wudVgxODGHo1+O0CZdBHwu7M55XGi3Yn2NES1VBtqEmkougtsbQPuAAzKJIE6/Uj/v8YWwplyTdJ4zsT9MEH63N4DuYSeOMfQ6AbGe4lytGI9uKMLN3mn8fv8taOUCiIS8lNTWtHA+SjVl3O7FXz1Rie0bY/Mh3zjSjtcT5jvNB5bIvph0Yab9w/5gGO+f7MF9Tbm43mvHhjpTXOBXni9HRdHyElqZokLc3gDEIj5pK374eBXO35xE55AzjpFvW2sBLIUq3OidRmVRNuM7pQaqiXrEHwxj54Hb2FxvwgMtsblq6VAVxJnoHJpBnVkLm2MeP3ysCm9/2o3wQgQGtRi5mixI0sBNCYjqc9ssePvT7qTB3XdT7gVSi/J1QShm5nxxMLiN9QZaxhWiAlBeoIQ0i8/okBFwq1Sblepw/eiJKnx+dRyvHewgMd10kC4qjIsItvrHXWgo04DH5ZBzIZosOihlQlzvnYZQwE1yUFereZ8Ox61Vpc9EppLaBFghtRIjEvJIWKRMzMfAeIwsoKIwO9YPliLbQVXYa6sMOHJuCA63H15/CI1larjng4zl6t1HOzA47ka2QoRCgwwb601osuhQmpuaKpRYI2mWgHx3VEeGSeFTjdxfPlKBd08kw16YmJPSDSVcDTlwpge3Bpz4w0ftCIYWViW7lOmeZEoyTEzPQSkV0QYx/mAYx74aRAQceOcDePGRSmxtzo/7XX8wDF8ghN1HuzA86UZFUTaUFNr7yWlvknNAOIPhhQjkEgGqS9QpyUhGp1yYcQXIvUfFu6frTVyNfrTVgH7+T5Kf//zneOmllyASxYhirly5Ai6Xi/r6+rjPjY+P4+2338Ynn3yCffv2gcfjwWKx0P6m2+2G3W6H2+0m/6xWK/bv3/+1zJFKhN4Njs3SNqoTIhbx0TE0DZNGmtQjk7iHiIqXSMBFfZkGMiE7iQI9VVWMSim9vtoIlzeE4xdHUZIjR0meAgoJn/FcW2fmkC0X4Wq3HY9tKILXv5B0LhK/S9iCVD1GXA6brNZFABw+O0gysEkW5//RzR8k5iOqlVmMQ40TharLM+l7dnsD+O2+m+Qzbm3KJUkGEhNqibaBuBaRgPP4Qmiy6Mg+pcQKdjpHeWJ6DutrTUkQfgGfi+4Rx+K7ie91ogqHw4bT4yfHcvSPz+Gvv12H0lwZnro/mdqaCYpNV00h7GRigPnuiR7GakhigiCThBOXw0YguID9p/vx0LrCuHt+40g7XjuY2ZBeQjLtBSP8SH8wjCwBF3PzQRjVYvB5bCikQkzP+rGp3oS/froOloJsWntClxCTZAlo9YiQz0UguIBdRzqhyxZnjFAw5ykxPOnGjT47vvtgGRorDPAHY8Oez9+chFTMR7ZcmNJ2E2ybHYPTsBRkk31hq0UUthy5F0gtytcFoUjVdEsoZWoFoH3Agb/7bgNaq3RJinY5FODEAeHz2HjtYEcSppvqYNP9bp1Zi9YqHVqrTaguUWONRYdHNxShNFd5x5WnTLLfTJS0TMLUu5IIU6FjqqEqs2GrC/k6KWpKsvFgayFGbLN4nVIhpMt2UBV2cY4MRrUEXn8I29bm4ka/I46NkSpjdjfO3ZiAUMDDsNUFuUSII+eGoJQJM2pk3Xu8B3bnPPae6E7CGgPMCp/oUys0KRirk7QzxTKE8yXC0azTboQXomnf+ZjdjXlfmIR93A0YYaJQ97bd6cX7J3tJA/vUfWVJRifGZJWFNz6ONUlf6pxK2iNcDhuD425kiXjoGHSgoUyN+5ty8eSWUjSU62gDIy6HDbGQi2y5COdvTiIQXCDPJt0+l4uFuNU/BYNawvg+W6v1WFfDPEdtpf1omRr5/0nyxBNP4Je//CVeffXVpL8XX3wRO3fuxPPPP08GUqdPn4ZCoUgKpBQKBV544QU899xzaG1txT/90z+hpKQEubnJ+mznzp146aWX8Oabb5J/+/fvB4A77t1VSPioNWuSkjRE4OL2BnD47ACKchQpHf3KIjVyNGI81FoQ54gn7iGdSoJIdAEaZYydbGGRAp0YyzFudyNPJ09JSEHArdTKLPSPOVGcIwOfx8Xhs4MIhSO0OpKocJk0YvzDc02QZvHRO+JgPBfEd9451g27cx6/3XcTkWgEelUWXN5AnENJrdbl6yVwuANQyYRYW61PG6hRqxFMQ42BmL4kBsQTupxI8KWqyLi9AUSjSEqWMCXUiDOeGADXmbVYU64hz/OMy4+2GkPGOoGKIqEjhaoozEaxSY7N9TmoSqBtd7h8+Or2JM7emMCBhLEcrdVGklY98XqpiEToEoAiIQ8KMQffvq8UjeUaCARcRvKNO0ky0QUpmehb+gHQ6XvBqH4kj8vG2RuTGJxwA6woNEoRJCIe1li0eGhdUdw6Uv9/qoQYEyJiJTBvYh3G7TFG6k31JpQXqPD7/bcgEnCRrRBlRBBTZ9YiTy/BhvpcNFrUcHlCSfD7u4GUuBdILcrXBaEA6JtuqUq5pcqQlDFOLPmvhAKcy2GTgZxBLY5r4tzalIsoYnTlTL9LGAMCqkg9cFRDsRw67kTFZHd6Me8P0WYeikxybKwzpA2imHpXmGAqTBAutzeA/3z7Gk5eHiMHQGqVkjgFtqkh2QBaZzxoq8shh7jWmbWoL1MjHI7QsjESIhMLEAiGcPCLQXyjIRdHvxzOqCmayOSW5alwod0ahzXO1Bkm8POdKbDaK5kpRrwLIZ+DgC+Is7edDubEAAAgAElEQVQm0DXsyqinQiYW4HqvDXoKRI7OYKTq4VgNEYv42HW4HRw2kgY0K2WipM+r5MJYNk0nRXWxCm21uUlZUpNWAkuBCs0VWjRXmuLmXTCdHY1SRBrdTM58RaEaejkf29YVJjmLbxxpxx8OtCe9g5X2o1HZ3jIx8v/TZMeOHfjhD39I+8dms3Ho0CG0tLRAp4v1UO7ZsweNjY1J0D4+nw+BILZOcrkcExMTmJmZQXNzc9I1LRYLduzYgeeff578e/DBB++4IgUAZ66OpUzSCPhcdAw6EAqF8cLDFdjSxFwtEYv4SRl6uj2kWXSGHG4/+DwWJuwesFgRnL46QeplAn66sT6XFj6tkAoh4HNhm/EgEmWRAYtzLoDmCm2cg0QlQZqbD8HtCWDfqV5srstBc6Ue9zfnJp0LwhYQupTDZsFSoMD13pm4CkViD+R9a4wYtXuxsBCFPlsEZYqG/URhgvMdPjuAm312HL8Qg04GwwuoKcmGNEuAgQknCvQyVBar8FBrUdz3iGDCnCfH3+6oT6o4M9kCJqdeksWH1xeKBVG1Bvx+/62MWGIzZQMU8LlJ9/TGkXZ88uUQtKpY4E03liNRMu33pkvqXOqyoX9sDnuO9UIl5dHOj1yNJFOibk+nb9862sE4cDhG1KFDWb6S9jljyINY+8LaagPqy7QYnHDjr56owWsHOzA25Y3BehOqw4StyiQhxhQ0LbcCRLcOBHKi1qxOm5igCrHHqH1hRMVs99HOu4KUuBdILcpq0Z8z9VFQ4Xx0jekb63MZ2eyA9NThqaTOrIVJLQKbzSbpLwk6V5VUAH22eEW/Cyw5ziqZAEI+J2XkT1VMQBRurx+3+h20mQeiSsZmsWmrb0TWhmnNmZr/7U4vNEoxbSWGaY1jWTo1bRBFzeBQHUhploCWjTFx7bqGZlBVpMaVbhuaMmDyOXx2AEfODaDOrEX74AzW1xhxo8+elL0DUge4dqcXr3x4GyM2D24POFbMjEcV4l1w2CxYClUwaaQYs3sYeyro7mlNuQFGhQD3rc1jbB5m6uFYLSEM9PCkG82Vesb353D5MO3ygsVioWvIiavdU2irN+GzS6O0e5rLYS9r7stKzrxUIsRCJBoXcFHP3ZrybKjEvLjh38udG0bX13K3oJ9/LuJwOHDhwgVs2bIFQ0ND+N3vfoeXX345iWxiamoKWVlZYLFYmJ2dxa9+9Ss88sgjKCoqSvpNgUAAmUwW9xeJRO7YLlEdztDCAqqKVbQEEDWlGpTkKmBQLx9CTbeHqFDZHzxaiXM3J7GhJicJPpinV6SFTxcYFRi1uqGUC+GcC2B9jQF/+Kg9zsG/1mWFQiqCzTGPp7eW4qv2SZQXZGPP8R4EQwtxOpVIBBD32D44g22teXiwJR8sFiupKp6jja+ebWjIQ3WxBka1CDWluoxRGonBIoHOIHTn4LgbmxpyEFpYQG2JBnuP96BAJ8Frhzpx8vIYekddcQEK9d2O273Y2piTMZQ5lVNfU6pBW42B1BuZMNguB0VCtU2jUy68drAD49Ne5GklyDfIGMdyUCVdv7dtxoNgKJldctg6i1Hbkl0anJjD3z5dh80Nxrh7TtdrnCqplcr2Jp4VIjF48uIQ48BhQj74rC8lGdKpq2Mk2yAR9OiyxbTVYSC+otdWl5NRQozLYa+IXS/dOgCxfafPzorryc4U+cTlsOPeV45WcteQEvcCqUVZLfpzJggFVaj4byqEIvHQxLJwS05RKurwdPNApGIh+f2qYjUZfPSNufAPzzXiwbX5yw6iCOUvl/AhXCyPp3JwqYrpLx+pQCAUoc08pKu+UaGIDeU6sNksDE3Gl5vp1jhx8Byd4SPWqMAgjTNIhPGjVhpSZXAcLh/+8FE78nUSPNiaj3XVxjiFTqxdx6ATc74Q/vnFFrTWGOPuKVFZE9/pH3dDLOLgb56uxcb6XKyrNqClyhCnlFIxzB0+O4A3j3bSBl93IlwOG7IsHhQyIY5fHIU5Xwb3fJC2pyJRiHfD5USh10qTZlkAmTHjrYYsOVcONFpiw5oTnYIrHRO42GlD17AL13rsuNo9hXqzBjwOe1nZtHSS6szTCR1Mlzh3a8qzIRLwkoZ/E5/JRFL1tfxPh/MtR6qrq3HkyBH84he/wJEjR/Dyyy+jvLwcAPCrX/0Kg4ODqK6uxocffoif/exneO+997Bv3z48/vjj+Na3vpXxdVbDLhH7mXDOqTPzEmUlVWhC6PYQEWAU5SgxPjUHHj+2T6h6ORP4NAAUmRSwFKiwrlpP6l3CwXe6fbjV74B1xoNnHijDtZ4pPNiSj/cWe0DFIg4KjVIoJMKkRECdWYvmCi1u9ztw7OII9Nki2qo4HSyPWnFJh9JIDBap6IxGi55kxNvcYMIjGwpJ1MGNvinULjblJwYoK2EmTXw/hN1IHKoqEvKWPeaAbrBxolCTr6evjJEwPvusH+uq9AArippiNbhcwFKYzFCYeD06O/7eyS50DCazS9pmPBAJeBicdCXZJbrqGZ2zn6rFwu0N4PjFkbQjKqiEWn881AmtQoj3PutjJOEA4oNm6n4GlnwD68w82gcdZNBL7EFqdZiwS/P+UNK/ra81pU2IrWSYc6IQ/iqdzhDwuStqH3F7A3j1o3bIJHz0j7nxSFvhXSPJuhdILcpqQfsSIRRM/UDpsNJ7jnWifdCJUdssxPyYcwosGbrEGT+ZzgMhiCoSFeRKDCjxO40WLfad6s8o8icUk0knRefQNC12PVUmnhpkzc0H4XD7cPziKB7fVIxHNxQnXYtYYzoYgEYppr3HPce6abM+iXjsVJCmj78cRLZchM8uj0Em5icFEDOz81BIhRiccOOxjcWoXbwOYYzplDX1vd3XnI9Gi4FcL2BJOfuDYfzmgxsoy1PhUqcNW5uWppQTCpeATvzbj1uT+mYSMcVM2Se6va2QCPDKh7dgn/Whd9SNH2yvRIlejA0MsEhgyUBoFEJIsgSMPWVMCYivQwhFXl+mTzKwDpcPHBYbHUNOnL0xgeFJN56634wjZ4cwMO5GW50xaU/7g2G4PYEVVf0yPZupEhCx/cpjHP7NJIkOYbpBq/9bhMfj4aGHHsJzzz2HZ599Nq7CtHbtWlRXVwMAampq8N3vfhff+c538Mwzz6ChoWFZ11kNu2R3enHwi348vdVMzlRaKVQpk4GviZ8hdFpNqQZ8LhuNFXo0V2jJ8ytPONdMegKI6UBJFj/Jfh2/OIxINAoel4u9x3tRXqDCN9cXweUJQCziIF8vxx8PdcKSr8Bbn3QnJQKmXfP446FOjNu9mJsP4S+3ldFWxTNJ3Bw+O4DffHADKhkfuToZHC4f7C5vXLDYUK7G64c6UVuiwtbGPLBYQK1Zi4fWFaB72Im3P+3C2ioD2gdnUFGYjRGrC99/rAoPri1IWt877VkWCXlo77Ph1LWJpGr/Svpf0ukTIonbWq3Hh2cGMG73gsWKYnNDDuZ8IRw+O4yzNyYwYvWQe5TQQ3T7LzFRZZ3xYHAimV3y0Ll+DFvduNXvwKzbj/ubcvH4ppK0SUTijExMzyEaBa2OHbXN4tAXgzh8doBsoUhXxaMmBq3Oeawp0yYNHE58zsT9TB2Smyro5XDY8PhCsDnmsXlNDtZYdEnnbomiPfn9EQnkTOGbqSpWmfqry01ACvhcuD0xRsotjbl3lSTrXiC1KKtlsKgQCtuMN2WjIpNSts54cK1nGkopF15/FLuOxCu33Uc7setIB4R8Nvh8NmOGOJWs1hwYc54SIgEHwXCEPKSVhdmk8qFTfCcvj5JzBNpqjXigJY+xMkSwlRFCDbJ23G/Gh6cHYJ/1YWjSTVsKJ9Z4YNQJviA2CPHp+4qhkQsRCC3QsjfR4a6Z/p3uoLq9AfzXnuvk4MLtG4vj7ouAAxIN0XSNw0wOcSbvjcthL87dsqKt1hg3HJaqcB/bWIyyAlXKZlOm7BNTE65IyCOV88Z6E9bXmvDB6X788VAnvL4gzPlKjNvdcT1OhIHYWG9M6+SnS0CsRJiSHUyKXCTkYXA8Vkk0aiQYtXlQkiNHjlaCnpFZ1Jep8YPtleSePnlxGBN2NzhsDm7321BgVKzavQNLZywdFJBp+DeTMFU16Xo+78nXI6tVkRqf8uDE5ZE7qkJnQnaU7jORaOx+Em1fKvh0ori9AVSXaEg96PYG8M6nXcjVSaBTiLC+1kj2fNaZtSg0SkmH1eMLoqZEE5cI2HW4HUfPD5HQ6rVVBrTV5yY5lJmQJBFJrHqzBqevjpEkQLnqLKjkS7MXNzfkQSXlwh8C3j3RCwGPg/ICFcILkbhE1z+/2IzxaQ8QZSG8EMHlzina9V1Oz3Lic9idXiDKYmRsXE0GNKr9aSjTQiEVLLKt5ePA5wMktJG6Rw+fHcCxrwbROzqLNz7uhJDPJgfy0okkK5ldstAow+CEG9EocOLiKG4POHCxYwrb1uZnlEwg7CB1HhWhY3cdbkf7oBOfXxuPoxdPV8WjJgbXVhnwwiOVaK3SJ5FwUCVxP9sc81hbqQWPx0FFYTajb8DlsDHr9qM0VwGtUkSipTIJwqkJ5A0J8D86+7HrcDs+uzwCi0mIGU8oztanQjQA8XtzOb33hKgVAjy+qWRFJFl3IvcCqUVZTQiFzTGPZ7eV44PFKg1d9i8lzSqXjaFJF9ZajEnKjc1mYdeRDjSYtTj4xSD0SiHUi8Nx72/ORWOFAeGFSEYzXlZLQYpFfIxMzqKlQg82O4r6stgmpjOq1IxU98gs/mJLaRKMgzhATCVyIsiyFGQjEl1YnIGgQr2Zfniu2xvAb/bdQJFJhk31Jsx6AugYctFWnegyN7F7GYqDe1AVD0ENSqyngM+FxxdE/5gLhUZ53KG+0WPDnmM9i0HSPDbWGRCJxlcd0jnE6d6b2xvAbz+4Se69xACTCMb6x1xx65sIVWwoV8cpbCKwSdWE6w+G8fanXWip1OFm/zQqi5R4/WAHvP4QWiu1uNAxRdvjVGfWgseKIhwFbI55bN9YgCKjgjaYIWh97wSGRMhKWZmUchH+a8919I+7sLZKj6fuK8Oach22NuWitnRptpo/GIbd6UX/uAdvHe2CXCpCvk6K0EIk7f1ngkNPPGPpoICJw7+ZJN3w30ySNffkzmW1kBJ1Zi3WlGmwvta0rH44wrHJhOyI6TOE7aFSM5fmKsDlsOMg6XKJkJHKmpBEWDcQ05dKCR9vHe3GqavjuD3giIPUUh3WmhJNHMEF4djNeoKoKlbi2YfKaZM0meoJLocNlYyP01fH8K3NJSRSo2fUjb99ug5ttXoyWGSxgbc/6YGlQIXTV8cQjUZRXaIhA41H2opQnKPAr/Zex63+GZhz5Ti+WGVhegdUsp9cnTTJFyCeQ8gDJCIuQuEI+DwOpme94PG5d6Xar8/OwuObilGSoyQTkY0VBhLauLHOiBceqUBrtRH+YBgHzvSizqzFicujqDdrcOiLQXh8QdSmYC6uLFLDmC3CN9cVoixPCY1SjI6habBYSIL0pXPYqVWYcbsXP36sAo8tOutEVWl40o3Na3IwOe1FbakaP322MW2SevfRTkQiC3j+IQu+sUjukklQR93P9zfnwjkXJO14qmsWGuXIM8iSWk5SnTe6BPL6WhMjfHNieg6fXR7B01uLceq6PcnWp0I0EHtz3h/EiHUuJTySCTr76sEO2hEEX7fcC6QWZTUNVlutAeWFasZGxVRZO0IRbqw3waDOQnghGqfcogCkWRwc/GJwscfJjb/7bgM21OoxNx/G8Qsj2HngdtwGzGTGC9HwuJIsAACUF2RDLhGQQRSTUU1XgiaeX68S4c2PuxgdOQGfi32neuD2hnHi4ihKc+UwZItpFVEgtIDZuSCudU9hc0MuZj1Bxj4WusyN3enFuRtWDE7M4pkHy9BavfT5MdssTl0dx3+8dYVc812H23Gxw4antpTiiW8slejd3gD+8NEtNJTrYHPMY1trHvrG3LR7YTm9MYkZxkxICojMJ3V9FdJ4Bc1isSCTCJKyT6macLkcNsLhCD4+P4xvbynFpH0OaqUYfC4bGxtysfto11I2yqImadHfONKOnQc70GRR44WHytE+OMvYVEucn9DCAnJ10hUHVJmwMjE5dlwOG2w2C93DTqyrMZL7OPFeuBw2IuEomRDx+kPw+cP4zQf0zEyEZIJDZzpjgdAColgKuBOfQSoRpoTfEPfN47Lh8gbwN09VIwrWHTcX35Ply2qO5aDOzMtEqMFDS2Uys2yiEHpnbj6IHfebYSnIJm2PVMTFh2cG4PWHoFGIcObaKPrHXHEQn3RU1qmCOaNGmrJXKLF3h0gEyMQC+IMhFBhkmHEF8M6nPXG20+HywRcIL4u9LVcng3Xai1NXx5IqgNSkoUIiRGQhgtNXY4yrI9Y5sqJA/C+xptFoBEaNBEaNBFNOH+07IJIfXn8ISqkQlzpscb7AlS4r9h7vhUmdBZVChM6hWbz9aRcCwTBm3H60VGRjS0Me6dTfiTAlugjdTR3nQFQMiASfOU9Fri+Xw4ZOKcIbH3dh+4Yi0m5PTi8lCJmuJckS4L2TPaRz/sTmUuhVIlQUZmPb2nyy2pXosCf6QFQSjWceKEG2MgvaxbYAIqgZsc7BUqjE3+6oR6NFnzTjiynpcLXbjosdtoxYmKlSZ9ZiXaUWpXlK/Nfe63C4/fAFQqguzoYki08+Q+KzpIIZ0jHhcjhseBcTy9RzRSRUE8/BmSsjWF9tQpaAz1jhpEM0UG0xn8dJCY+ke2fpKl1ft9wLpBbl6zBYdI2KqYwBNQvcNezEt7aaUVWsjsOTczlsOF0BCPgcTDl92FhvQmVRNqRiAfYe60bnkDNuiOf07Hxa5pJdh9vx9ic9cLh8+D/v3ciI6pROPL4g+eypnHkmeBr1+WtK1RDwOJidC2BNuRbmvPjqBDEl/cTFUXDYLBjUElqKbUJxWwqVePHRKujVkpTzdoDkzA2Hw8bOAzGGu45BJ/5iSym4HDb2HOuE1eHHgTP95KFvXWyEts7Mo3fMFRekCfhcTNi96B114PvbK9FSaUiZ5aU6w0zClCmtKdVgXbUeOToxbeP23mNdtHNJCIrV8vxs/Psbl+H1BfHctjLcv3ZJme063E4O0tu+sSTpt4n3q5aL8J/vXAeiEXxrSwk8vhDEi8OmH27LR8+IKza5XinEB58RaziHzU25cUqRuobE+QkvRGDSSMi5aOnmqtFJOiraVI7d7qOdOH5xhLY3L1EUsqUA9emtpTjweWpmpuXQCBNn7On7SqCWC3Ho7CDO35zEzgO3oZDwcebqWEbzOOjEnKdEOBRCz9gcY9/aPfl6ZTXt0nKquHRJhpYqQ9rkTk2pBg63Dx+eHkCRUbpUfZ+JQX25bBY6h5x45v4yvHtyaRh4YvWbjqSFqPRPTs+TNoXqKKaDKTElD+b9QVxstyUNvCXmOfG4QI5WmvGIAIfLh99/eIuE5/3L95uxoY6++lteoEI0GsWIdS5OD1P1fk2pBpVFKryy/zZZAX9sYxHtrCoel41QeAFeXyjuebY25eK/37uOlioDtjTmYNrlx4mLoyjLU+H8zUl0DDoRDAFra4x3XOlnShRnUtVMtHdvHGnH1W4bSnOVuNRhRXOlHtaZpfefKilN7GGvPwStMiumE6VC1Jq1cUyJ1Hf+yZdDjHDmdZVaXOt14HUaxtKGMjXa6pKfh+n+UvlHmTLi7Tvdhz8e7sTGehNYrCgsBdl44+MuOFw+vPLhbbg9AXx+bRQaRRZUcuaggokJlwhYNjeY8L2HyuPOFZ3f4XD58Is91+EPhpBvEIPLjVU4n9hciAKDPA4RlRjkUG1xc6UODeU62mQ7lRk4Vy9ByWJl+0/du3svkFqU1TRYVEmM2FMdIGq1Zsf9ZhJ6pVZkxR1qg0aCvjEHlBIhlHIBGspi8DO3JwCVTITiHDk5xHNdjSklpSVRmpZLBOgccsQplXl/KGOlSud0pqqq0AUI1OdvLNcivBDBwkIUOVoJWquXDrHd6YVKJkL34qDF8gIlLcU2VXGP2Tz45roCCPhcVBSqYVAIsG1dAaPRpd7fzLQb4iwBhinGbtg6i5t9Dpy9PoGqYjXc3iCe/EYJGi36lJnRmlINGi065BvkcHsDiESjcY4BIalY9wgZti6xXSVmSk9eGMCV7mlaSmG704vf77+NvrFZlOYo8OQ3iuOM8oEzA3j1YDs2NZjQPuBAoUlBKjMC/kcM0mMiFuFy2BAJeZj3BwEWG/tO9aM4R4FHNxShuUILS372kqPmmEdrtQE8Lgs/2F4Jc1424xoS50eXnZU0F225DoA/GEajRU8LdUo1o4TYV3S9ef5gmPbcEMa2oVyfNrO/HBph4oxd7pzCzf4ZDE+6SQeq1qy5IwZBIht/8ItBWAqUqCrJhojLgsPjow3O78nqy2rZpd1HO/HBZz1QSvgwaqSxAa5gTtQwJRkyIZr4zfsxWPGM24c1i9X39TVGPP9wJdaUayER8XD+9kRcr9Lmhry07HO7Drejd9SJHzxaiQfWFtDqyOU2qLu9AfzinWuoLFIhWy4iE0t6VRapn0ZtXvzNU3VkFSOdUNeutdrAGEQRYknR20IIoRNGrHMw5ykZ7ZY5T4nWagPC4QgEfA75PNUlGoTDEXx1exJrKzSwu/wwaaToWByhMWKdQ0VhNq0+Wg7VdapgabnjHIhAqGt4FgopD99/tBKbGvJIn4LuWl5fiLSBxHvgcdhJQTLBaEdFxxSZ5CnhzE6vn5xTZnPMo9GyxC5J1++eai3Gp1yoKdXgm+sK4tYhU0Y8Ym3ssz445wL46bMNeP1gB+nHySUC8LmAXCrCGx8v9ScnEh4xMeHStWAQa8GE5CDW+/wtK/J1Emyo0mFLYw7ssz7wuSxMu3yMBF/AUuGhpcqYcl4VwQx84uIo5v2huID2T9W7ey+QWpSvK5Cik1QBBrGBCo2pD3VlkRrlBUo0lMVw4rsOt+Pk5TE80JKL/af74w5vS5WBkbmEKE33j7uwsd4Em2Me332wDJc6bGkbiwlJ5XQmGt50DbvE85fmKlFTqkFVsSouiKIGbM88aEGxSY5Cgxyh8AKt0ScU9/e3WyDgc8jytUQsTGt0/cEwPr86jMs9Dnx2ZQyPthXisU0l5Lr1jTmRr5eCxWJhfa0Bj7TFmLuomVG65xXwuTj0RS+u987QQgBT9afYZjzgctnYfbQTH30+QNs87nD5wGKzsZvCTkWlFCZ6+cbtXjSUaeOMMjVIcLgD+PnfbCAZBYHlD1815ynJvdE/7sKjG4qgVmQlORvPP1yJEesc9hzrSUlPD8TOT1m+EuFwJK1RZppqTnXCamkMVipaYSaH4NhXQzh7Y4KxSkYY20xgm5nQCBMVhhm3D69+1I7hSTcaLTqoZLFKY5NFRzsoNF0fCiEiIQ+3+qZQlCMDm83B0MQsxuzzKef93JPVldWwS25vAB981oPygmx8fH4ITrcPX96yJkHAE2W588WA+LPRUmnAcw9XxNkeAZ8Lc54STRV6NFr0pOOz51gXNDI+tm8ohlIihFETP8vK7vTig1O9sCzOhWKzgH2n+jKecZTqfp1uPy502PCNNTn4v/6iFhWF2fD4gggvROJsynIYDpezdm5vgJz9Zpueg8cXotVZdBW3xBEpQMzZLM1VotaswaMbikhn1JynxOaGHBjUMlQWqaFXCHB/SwFaa4yM+ohw7P3BEPL1srSBdLpgqcAoSwoemISwEUAU29uKUFGkIa+ReK3tGwtxs3c6qUpSZ9aitkQNtVwIk1aC7W1F0KqyyL1C+Bs5WgnEomQ2SKrIxZmzS6Zaiz3HOtE5NIvf77+FcDhC2olMkAhEBVYk5EHIAx5pK0KeNgtrLMY4P65/3IUXH6nAmx93wesPwVKgwI3emSTUDhMTbmJSv9AoJ9eMLslC9DoS+/567wxe+agD6+t1mJz2oX/cg7c/6U5rN6hnjOk8E8zADrcfWUIOSkxSgMWCgM/9k/Xu3gukFuVuBlJA6sweXbaELltF/AaRVbDP+jBi82BjnQmTM/FVDibmEn8wjK9uTeCZB8zoH5vFPzzXhBydNG0JniqZzrKgKwfTOXXUjD71v9EFbCqZCCIhj9FwEU7r+ZtWvP1JDyILEZQXqBifhZDDZweQxeNAJOJj99Eu2Gd9GLbOxWF9q4s1uNFjx5mr4zBki5NYlJhgd3anF4HgAj74rI+EAFKVJtO73320A5c7pyAV8/DOpz0kdOT/eb4xTqmLhDz0jDogFQtI0oy1VUZMz86TBpoJBkNV/lsaY0F4oiyHUjTVPqa+M7qZXDoV82BQAZ/LGJAQSp2pNzAdkQLxmUaLnlyjxDltidf2B8M4eXkUXcMOtFYZcK13CuuqDYznJpPqGY/HYTQmVMjI+loTma0uy1fgqfvMeHxTMUpzlUnvOV0fSqLk6mWYnvXhwJkBPLfNgrc/TQ7OmfD19+TOZTXsEkHG8N6JXpTlqTA546XN0Lu9Adicnrhq40ro+hPPBmF7qNBC6qB6tzeAm712eAIRvHW0CyIRF5YENlGxiA+pkEuSN0xMz+OxjUUYmpzLeMYRk5jzlfjGmhxIsnhQyUTkGakoUuL/frJ2xTP2Mlm7905241q3He390xixuXBrwJmyIkG1h8SIlMTEDXEeqXOECInr/REL4XZ54ZwPkD0/wJKzTjj24YUIcrTSjGHUTHqZ0FnU4CGd1Jm1GJ/y4N0TvWCxIlBKBXFDdolr5etkjH1sHl8QXSNOLCxE0TfmSkog7D3WTerSb201p6wO1pm1aLRkxi5JtxajUy7c6J3BqM2NxzcU4XKXDY0WHQR8blokQmIF9tzNSew93guNUkzOQ2ut0mF9rQkPtORBqxLD5QkgTy9FlpBHi9ohnomOCZeJlAoAikxytFbpsKkhL4nOPLQQwa/fvwGNQogGsw6hcDRpwPWdMOkRgVyWkJwh9QMAACAASURBVANznhJdw647gvivhtwLpBblbgdSmUimFOXUrAIBoaBTZHREElwOG1NOH3YeaEdrtRHVJRpMOT3g87jgcdlYW22Io89mknT4dLpy8LsnerDzwG2EFsIkUUQqzHO6gI1QDA6XL44VzerwkOxIIzYXdEoRNMosxmchHO2SXAlcngCUMhEtm5HbG8BvFtnxEgPOVEQGYhE/LQ114ru3znjw6VfD6BxyYtLuQV2ZlqRNTVSAbxxpx9kbE6jMV6GiUIUCgwynr4wlBRVMVYlMKiZ0ipCp+pNqHxNrstxKFyGJAcmuw+04cm4QWoWQ7M/w+kOoNavIbFWmhCc8Lhv1ZTrGuReJWeB5fwh8HhenrsSazOmC0EyFuAdZFg8KSfzgQjrISEuVAS2VWqyrySFJXQgh3nOqyjGT2KbdmJn1QyETomNwGpaCbJIopaZEiz3Humnx9fdkdWS17BJBxtA+OIPaUnVSf+Rnl4bw5W3bqr1Lpl4ROoKYM1fHUFWcjd1Hu+OcrcTscp5eRmbCNzWY8PT95aReGbXNgrWYlZ6cngOPy5yEoMrhswM4cKYXY1NevHawA7kaMdm7NWbz4v7m3DsaqJ2KvMntDeCr21ZYZzx4sDkfkSgydjiJESmJ8OblnMdPv+zH1T5nXM8PVfetKY/B1A1qccYwagKBYXV44pIrdDrL7Q2kXVtCZ8klfJi0EtohuwI+l3Suc7Vi/GB7FUza2ED3WD/vNOb9YYzZ5pISCPP+UNJ9pbunTGDN1KQBda3kYiHsTg/4fB4++mIQa8p1cXaiyCTHxjpDkj9A+CRE/7teLYqDGRLkClTSLCDml2lVQnQPzaLQJGccfcA0ioeOlOr8zTGcu2nFHw/Tz2XTKMXw+kJoqzXgyPlBSMU8WAqU2LImF4VGKRotK0tMUKXOrEWRSYqbfY6kvTk164X8Llem7gVSi/KnCqSYnE9CMoUrJGYVmGhR6aAc1PL2nmPd2P1JD0xaMa51T2NdtSHJkWOSVAoosRxckiPHzgO344giZFkxZqdUCjtdwLb3eCdu9s3EZSgIdqQRmwt5ejl2pykxE4727k968BffyIUlR4kNDcmUsKlgDOmIDMrys2FUCLClOZdUmokwQC6HTf6bJIuP8ak5KKVCdA45sa01H49vKsSmhrw4Y00EcCM2D8bsXjz/sAUyCZ+WcCSVkV9uv1EqZshh6yzU8uTANbEamUmlK9U9E8w9DzTno33QgdI8Jbz+EBotuhgFOyU4z4TwZHDCjcYKDa3BohNZFp+EHNgcqdm9UkFcqQ21CpkQ7y/2tsjE/JTzotIx8WVaOSbkvZNd6Bp24eMvh9FWrcc3mnLRVpeDJosagxMeaGRC/JGBmemerI6spl2qM2vRXKFFa7UJOVoxnrq/jJzDtBAF3qaBAmfK4pqKyCIVQYw/GMb/u+sSbDNe1JRq4JwLYPuGIjRXxutL4j4SkQcE6U/XsAvHLgxhzDaHK132tLBF4jf/vzcvxxFf2Gfn0VZnRI5OiupiFVqqVu70petzDYQWMDzpwuaGXOw73QuFlB83YoNODxI6U5LFR9+YM47FT6sS0va7JMq4bRZOjx88Hhd7Pu2Je+e/XuxvI5zmyek51BZkQ5TFiyN5IISqx9440o4rnVZ0DDqS0B9UnfXE5iJc67ZnVBkndFZrtR5z8yFc7Z5Ca5UB1/vsaLboIBLy4HD5sO9UHyILC5BKBLg96EDfmBN6VYxgYnjSjepiFeQSAQl7JhIIy+3bykTSzVKTivlxED7CHhPfY7PYSd/76PM+FBplyNFKcf7mJPQqETn2Jh25glwiRPvANKZnfXhsYyEe3ZBMEMUkiUnHHK0EiLLw1iL7blWhPG4+GnEfNaUayCQCjE154ZkPIRiO4sMzAzBkSxjRSHanl4S4ZiLyxfYK4gw8u82MC+22JDKQuyF/FoGUz+fDT3/6U/znf/4n3nnnHZhMJhQWFiZ97sSJE/j7v/97vPXWW3j77bcRCARQX19P/vff/OY3+NnPfoY333wTc3NzaG5uzvge/hSBVCa05MuRSCRK65xlAmXae6wbKqkQb3wcI57oGHSQjhwdG95KhGoECQVZRiGKmFhkdpqcnsfDbQUoyVHQHiqmgM3h8uFS5xRt9qy8QAWdUhTXN8TEhgZQmOcUMkgkQkYHMVX1JhVOnqD7jkZjn9t/qhuTM/O43T8FS6Ga/AwVGlhTqkGBQYJvbY1hluUSYZKxpgZwmxpMWFdjoq32JH6P6gglwtjSCR0sj8ikMjECMUHMUpX80zkmBHPPtZ4p5Omk4HFYuL8pF++e6KUNzukcxDNXRqGUC8nM3cb63IzZgIi1d7gDeGxjEerL6OeapZtJQxivXL0EV7un0Fyhw7h9Ps4BXQ49PlVSJSKoe2DYOotRmwcnLo7CPutDz6gLD68rjOkXFgu/fv8GFFIu9GrpXZk9879VVtsuiUV8ssLq9cUatQV8Lm73TcVV3jc15GVEeAOkdxxTEcQQfSlf3JjEttZ8GNRZOHBmIO6adDqOEIL05/zNSXx7SykudSaz79Gdc6IawuOy44gv2uqMWFgAPr82jkKjnBEqZHd6MTcfZEyCZmJzBXwuuoYdmPf5wefx0D3ixLa1uXh0QxFtEJWoM6uLNTCpRdi+sRhNFXrGfheq7DvVjY4hF273TYPPZSGb4oxvasiLc5qlYi4++KwPwQhwiaaXl9BjKikXLDbw+qFOPP9NC05fG8Oaci0+Pj+EaDQKy2KyitBZRrV4WZXxOrMWYhEXUw4vpGIhWfFvrTHijSPtuNZjx+fXxvHdB83oH5/D+ZuTMGokKDZIsBBlYcQ6h9I8BbZvLEadWYPHNxVDLFrql16pLqWTTJgJ6exxqu+5vQF8ecuKUDiCszcm4sbetNXqk2wSXZKO8B0qi7SMn2ESatJRwOeifdAOuUSIRks2Zj0LyBJysK0lH3KpAHk6GWlHAqEFtFQZkK0QxAX466p1+OCzvri9vOdYJ24POJYN0dMqRDDnyLClOQ8qhZCRDOTrlj+LQOqVV15BMBjErl270NbWhpdeegk7duwAnx9/uObm5rBjxw786Ec/wvbt2/HP//zPqKiogNFoxKVLl/Daa6/hwIEDeOaZZ/Dv//7vKC0thcmUOutKyN0OpFI5n8uVSbsb+0/3MTpn6aBMxCH2B0IozVOSDYtlDGx4TJLJ4aT+9zqzFjqViGzqbas14rlvxmCJHQOOjMkuqL/dP+6EUU0/a0OjzMqYDQ1grgYmZmlTZVDo1iMR9reuSofbg04cOTcEg1qCfJ2UcXaJJEtAXpvJWNMFcOUFKmyoM6CtLifue/ZZH5xuH379/k1kCdg4e2OCFsaWSphgeUTvnkYhxMZ6IziIQLo4dHO5ELNMHBMgtqcsBQq01eVCn52FHL0M/mCYlhmR7honLo3iUocNMgkf/WNubG6I0T7TYcjppM6sRTQSwf7T/bQOaCazq4CY8dIoBNBnizFk9dAmB1ZKU0y31onOsEIiRMfQNEwaKUILC3j2oXKU5S/NyvL6Qvj4/Ai+tbkI29bl3wuiviZZbbs0Ylti+qTanUKTAsUmOdZV68gqdybnjc4BDIQWkvZmzJGTQibmYXNDDJFQUxLTL+Y8JRorNCjOUeLnu6/GXZMOWkS9DwUlK329dwolOQrasQ7AEvqDute/tdVMEl80lKtRU6JN6wgfONODm32OlL1MmfQ4AzHSqM7hWXQPz+CprWZYCjW0fgCTzpRkCeLuj6nfBYjpY4c7NkPx9oADSqkAj6/Lx6bGJeIEqtMsFwuhFPPx3slecNhslOQqoJTyIRbxST1WW6KCPwQcPT+Epgo9rDMeFBgU+Ph8jC2UmI1FHVa/3Mr4sHUWRo0MGkVWXMW/pUpHkuxsXpODQCiMo+eH4XD7MeX04bHNpWipMqCt1oCWKiOpM3cf7UxK7i1Hl6Yi64kCCAQX0la4EtEXqSpjR78cIPeTSSuN820S0RGpknRE0jjxMyO2WTLgSPRtiGeN83d4bNSWapAtF+HkpVFc7JjC0a+GMWKbg9Ptw64jnbA75/HbfbFZidRk5NP3FSNbLorTQY0VGtzonckYPur2BjDr9OCD0/04dHYAs94QXv2oHXqVMK5Kl2kf22rIn0Ug9a//+q/4yU9+Ap1OB4VCgYsXL0IkEqG0tDTuc3q9HhJJrAFdIBDg/Pnz0Ol0KC8vx6uvvorm5mY0NzeDy+XC5/PhypUr2Lx5c9L13G437HY73G43+We1WrF///67FkittCckUXYdbsf4tBfHL6QOeFL1qRCH+PPrE3iwNRePrC/A5jV5KMlVYN4fymh+RqaT3xNFLOKTjn9lUTaZyVgO2QVVukecEPLZaKsz0s73ScWGlgrGQrAjHb84klGWNpW4vQEsLERhXax6mPOVcUby/uZcqBVZZHXjyc3FKEtovgZSG2vq+//o8378x1tXoJQKYc5Txn3vxUcr8N6JGPvVw+sLsff40myXRBhbKhrcRMNgnfEgRysDlxOFJEuADz7rw0KUtZhdXJ4hJZ5VIeGj1qxBk0WXNJ2dKsQ9i0Uxp4mOGZHpGk63H/l6MZoq9GgoU6MkV4U3jrTj9UOdGe1tfzCM/9h9hdHxSwf5JISoVhcapeByWIzJgdUQpmxoZZEaejkf3sACPvisP+75iSxunkF+D873NcpqBlK7Drfj+MURkpI80e4I+FzSoco0EKA6gA+3FTAmwHYf7cSRcwMQCXj48MwAdCoxuZd2HW7H6wc7EAiGsSZhfkwm91FdrIFGwcfmNXloqjAgTyfGt+8ri/ts4mDgxKoYccaBCAoNckZH2O70Ys4byqiXKZMeZ38wjP946wr6x9240mVP0hdE8Lccncl0HhUSYdwMxbJ8Fdoa8pKy9tTrG7VSRKIL0CizcOTcEELhCOoW5zC5vQFsbczDuyd6UWCQo2fUicc3lmDXx53kSJAnNhejqliddC+JlXFqcEL9/1REQ2uNkWTx+8tHKlCWH4OlDlvnUFGkxH3NBbRMrtSgh4nuO1NJRdZDVE5bq/T40RPVafV04p6hIzAat7sxNDmHszcmIRHxIBFy8eMnq7CuJvn9Z5Kko37GkC1C17ATrx+K0aOP2ObifBu6ZyXOkT8QxuY1eWS7wexcgPQlyvJUuNBuTerhXVetw8CEGxPTXhjUElQUKPCX36xAvkGRBFNlWrvLHZO41GWFkM/DnuM9eKA5H0e/HCardC99uwYb6gx3NYgC/kwCqZ///Od46aWXIBKJAABXrlwBl8uNg+0lSn9/P37729/ipz/9KSQSCfbu3YumpiYy+LJarbhy5QoeeeSRpO/u3LkTL730Et58803yb//+/QBwV6F9y2E/o5PRKRdeP9iBwXE3NjXkMDYSEpIK615TqkFLlQ4VhRpSsTBVNxIl0yx7Ktl3qo80wE0V6Wft0InbG8B/7bmOL29b0TXkZAzA6OB8qWAsBDvSJ18OpZy4nYlc7pjAuVvWuIG2TEayzqxFNBrB0OQcI+Y/Ty+No7hNlIOf92M/DU1wbN6IDpYCNbnWxSYZI+46k/kWVDgfAVndUG/CazSUrul63ejkzNUxHDk3BKVMSHsPiZlCoupLMCMmOjyjU66kptTiHAWu99phnfFh/6n+uGHBqfY2EYTvP92DYpMcOTopakpUqDMnw/uIZ6czhtYZD3yBEBlYD07M4a+eqEZFYTYeaStEU4U+I/rydEx61N7MVNnQ0EKU8Wzf6eDOe5JeViuQIioaQ5Nz4PNY+On3GtI6G2q5EE9+oyQt2RHhAJbkKGgDciJQf3xDET76YjAuAJn1Bsjh25PT8/jeNjPZu0VIqoCE2OdyiZDcj1KxICkYIdAfkxT4OLHXqfZrfMqLv/52LXnWEkUs4uN6ry1tLxMhdPaBmpDicthgsYBhGvbBROj/SnSmze6Gx79Ep15RqIZWzsdD6woz+h23N4AcjSSpGjY3H0RbbQ5YLEDA4+D01TGM273Ilgtg1EhwrduOR9sKsbUpj1FPzHkDiESBPce6sfPAbUSiC7jYbiOdd6WMTwY9oYUF2Ka9GJ+eQ5FRgXdP9JJjMjbVm9BUYUjJ5EpIJvBHJkmFpKBWcB1zfqyrXt7MPkKItSL8kfoSDRwePzSKGCy2wChDWy39fsskSUf9zA+3V8UG+Lr9EPA4cb5Na7U+DjHVVmuAyxtIomdfX5sDg1qEHQ+Uo9CogNcXwq2BaayvMS4mhZfsyaw3gJnZAPafGkBZrgwCIRc25zymZr14pK0EuVoxHt1QxPju3N4AWFFg1O7B6atjaCjX4VrPFJoq9GQCesYVwK/fv3lHie6VyF0JpJ544gn88pe/xKuvvpr09+KLL2Lnzp14/vnnyUDq9OnTUCgUjIHU1NQUfvCDH+Af//EfUVdXBwA4fPgwysvLyUCqt7cX3d3dtIGUxWLBjh078Pzzz5N/Dz744F2tSBGSDs7HBJc7fHYAxy8Mo6ZEg/lACPkGKYqNcvD5bFQWJWeA0kkqRzkTuF4mWXYmocuIN1Xol41bzrRxlDBkhCOdCsZCZUcan/aitcqA2bkAnnuoHGq5KO3aUPtOrDMe8DkcvHOsB3wuB5c6p1BbooJCGgsMWqp02EAxygdO9+Fa9xQj5v/U5RFMzc4jEo5CJRfRXvv/vH8jbmBw1eLeoBrp5x6uwNamXFQWaWBQibC50RQXRGUy34KQRMjqgy25CC9EaeGUdIaGqSqYDg5Ilz1LVfUlsuCJ+z2RDYsYFpxqbxNGr6ZYjd7RWYTCUZy/OYnSXDnUClFSH8XhswP4r73Xk5Q98U7EIg4MFEdtfW0seBHwuWnpy20zHnzwWW9K5i663kwmB4Q423IJDz9+ogoapXhF83ruycpktQIparKmpVKPpkpDyvdIIAyoAy9TCQFp8gXCmHL6YtDwxX4mQi9f7rIlVcOIvkZq8oZpWHuiMPVfJgpVD1BZbcvylXGMb9QznkgDT8juo5240jWFh1ry8Ngm+l6mVJJoZ4n5j9QZhUBy5YRIAi3HOT9wpoeWTl0mST9DkXjWX79/A2IRF4bsGMPsE5sLcavPQeqP1hojygtU8MwHMTkzj/ICFSQiLioKVIgiitpS+vey51gnhq1uRBaieG+R6GNtlSFugPjD6wsRCkdgc8zj2W3l+OBUPzbV5ZAVCMIOqBXxREbpEjyp4I+phC7hSSSkiMqpyxtAbYkGOw/cXnFfOdUfud43jb//biNMKiEeWFvAGERRny1d4rvOrMUaixqFJiVYrAjua8pDnl4Kc56SrPw2lOuSnpWJnl2+SLUPxOxIrTkbG+tzk+yJTCwgK6Ib600Ysc1hbj6MA2cG4JkPorXGRPvuCB9KwOeib8yJWW8AkiwBpme9ePq+MtzXnI+2WgPqy3QZwZG/DrkrgdSOHTvwwx/+kPaPzWbj0KFDaGlpgU4Xy97u2bMHjY2NSdA+AJiZmcELL7yAF198EY899hj571euXAGLxUJDQwMA4PPPP0c0GqWF9gkEAshksri/SCTyZ0d/zgSXIw5a76grNvF7eyV2ftiOix02jNm8pJOZjhGQkFROamJmm0ozS5WVDG8EYodEJhbQBkACPhe2GQ+CoQWEFiKIIj2LYbqM1K7D7fjq9gR6R2ZJR7rRok+Cj9CxI01Oe1FbqsZPn23El7cm00IZE/tOJFl8DIw7wedz0TnkwMZ6E6nMdx/txM4Dt8nPWmc8eOXAbRQY5DCqxUmYf38wjN6RGYxYvXjzY3pnQsDnwuHy4epidvDxzTFDzTSPa9fhduw73QdTtgR5+qUzIM0SILQQRnWxGmX5CqytYs5k0gUvmQyXBVJXBVNBW1LtX2rVl9jLfSNOvPExBaNNaUpNZMNqqzXhuW9WMO5tqtELhcOwFCjx0eeD4LBZMGqkePWj9rg94g+G8c6nnXh8QxHO3hzHuhojuBw2bnTbsOd4jEGLBRasM17c15SL6712bKgzgctho71/Cm9TWLbogkmtMgtvLjIq0UFXUvVmMjkgdWYthifduN3vyIgN7Z6snqw2a19brQGT0/P4+dtXGd/juetj+GBxXpPHF8Kack1KO3LsqyGcvDyKaDSKQCgMlVQIuZSHpoolWueaUg0aLTpMzsxhbYUeLHYU5QXZGJ1y4dyNcey4z4wbfXYUGCQZNYgvF6KViP54/2RvnG6m2q9dh9tph04TCb8RWyzZ8tjG4mVVZRMTUg3lanL+47B1jjzPuw6340QKCCZVmIiBxuxuzPvCK57fQ01uDk/O4e++24CtjTkwaaRJ+oPL5eD3+29BJuGja2gWf/N0PXJ0UsYgamJ6Dtd7piEScPHZ5VE0LlYUinNkMKolCC0s4IePVkEuFWB9rQmNFjXyDHIEgmFcXaxAiEUc/HB7FQpMirgKXyr2SKqsFI5MrQqSMLfFYcXVJRqsKdOQtmil6Bw6OOtHXwzi+MVhaBVCsuJqm/Fgxj2fhDxIdz1if7NYEXjmwxicmMPRL4dRU6LGXz9dR/oYxLOW6MWY8fihkAjT2nLqqBCC1p36frIlfJSYZACHHd8XNTNPiyBK9KGMGilydVLka0SwOv1462gX3N4A1tWYaNdtOaQadyJ/FtA+h8OBCxcuYMuWLRgaGsLvfvc7vPzyy0lkE06nEy+88AKeeeYZ7NixI+6/iUQi7Ny5E08++STC4TD+7d/+Dd///vf/JGQTmVLGppJUcDnqhtnSmIfmCkOSk7kcRkAmJzUx47fnWCeGJudwqXMKg5OupMrXcjcs9ZB87yFLUgD03skuDIy70DnkwIXb1rROHHFomBQpYci+92A56bQSjnRThSGOAp6JHanRoofbE0gLZWTqO1HKRfj1ezfIayfOsohGI6gpUuFC+yTUyixc6ZpCS4UOP/lOQxzsw+n2IRIB3k3R02R3evHOsW4Um2S42mNHc0WsP4nufU9Mz2H/6T7UlGiw79RSP8y4bRaB0AI6B504fmEUuVppymHKAD1klVrBouu1yqS5nQnakq5/QJIlIPcyC8C5W+OoKFIzNqUmsmEBzHubehY31OXggbWF8MwHYc5X0BK1cDlsjFjnyBkijZYYVO/1w+1oWHScmip0KMtXYf/pfjy0rhAVhdmwzngQiUbAZrPJIcsFejFki0aUCJDcHj8shdmM0BUmxqhUzseY3Y3jF0bIyiifx0KBURoHi7xbBut/m6w22cTxCyM48PkA4zmzznjwh4O30VJlgNcfQnOFDn840J7U80S8b38wjLM3JnD+5iSkYj6euq8MpblytFQak/ZV1+AMjn45DK1SjC9vT6K6WAWTRob+MRfeOxnTPenghkTgkAqixWR/qYOB6XSzSMhLIuMgaOCBWKIhtLAAk0aCOrMaDQysnIlCrFViRn9zQx6tHn71o3YSgvkPzzagqlhDni3qsxFOKzGH0e7ykvdKZP+pswqXUz0jqogzLj8e31SMmlINmVh0eQJwzgXwxKZiVBar8eHpXuhUYnQPO7GlMRcN5bqU+kSaJUDfmBMsFqCQitA1NIPnv2nB/S2FqDNrMe8LYGQqlhzzB0MYnPDg1+/fQHVJNr63zYLWGiOGJtz48vYEhibceHUxmLnRM71sgqqVCJGk/sNH7agtUUEo4OE3H9xEJBpBkVGBUHiBFsGQGPQy6Ux/MIyKwmwSzur2BvDx+QEUmRToGHTi6JeDYLMiuNRpz3hmGJFUpwbzW9bk4krXEuKlf9yFRzcUxZ2dzsFpnGufwtuf9IDLAnTZWVArxIzXoAbZBDvfqx+1Q8ADzt2cxB8OdmAhCmysz01JDAYwn9PYOaSHnFNhwCvt21+J/FkEUtXV1Thy5Ah+8Ytf4MiRI3j55ZdRXl4OAPjVr36FwcFBVFdX47//+7/xxRdfYHx8HHv37sXevXvB5/NRUVGBnJwczMzM4F/+5V/wzjvv4OGHH8aTTz6Z8T2slsHKlDI2naSDyyXixqlOZqaMgIRStju9WF9rQkO5Gpsb8jBpd8Mx5yMzfs65AGpLVOgZdSG8EIMtGbLFKMmRr7hPgu6QUJWMdcaDwQk3nHNB2kF6iYYy8dDQGVPCkN0asKOSxpHee6wbU855El4gFnFQaJRCIRHGsSNlAmVkYu+hy5oQRisajcBSkI0xuweHvhiCc86Pp7aUoLnSkASlE4v4uNZthUa5ZCgTaVDFIj7sznlc7LBhfY0xLsAg9kt1iZqcqi4VcrFvMRO9qU6Hm/3T6BhyYXRqLonMhBimTKfE/cEwIpHk4MMfDGP30U5aCGmmze1MkJRU/QPU7PXkzDyaK/QYt7vxo8eqsbU5n/b3EtmwUvUcJZ7F2lINjGoxrUGlO5s6lQQj1jlMTs/hB49VYWtTPvmb2VI+fIEwdCoJbvZOIRKNYkOtEaV5ChTnqCj3G3Nwvmq34RtrDHhycwkjdIUa6KajrgZiThnRVKxTCWFUS+NgkXfTYP1vk9UMpIats3jtYAcJ9X1sYxGqS+LfuSSLD+u0Fzf77Pjx49XkuAiqI0N93+Y8JenQzHqC4LBZeO1QO6Zn5/HbD26S+2rENouj54eQo5Ph6JfDaKrQk459nVmLRos6bRCVOBg7EaLlD4bxyZdDae2v1xeihSACMZgSNbhJvKdr3TGq7QK9LCNnPfFsJGb0E/UWNdjaUG9Ez4hrEWIZxIh1iQwgS8TBawc7wGGz0GzR4CKNU9076sKtPjt+/GQ1HmgpSHuviVJTqkE0GsX+U31x61ln1gKLvbuh8AIud8accZmEj95RFx5oyUubSK4u1kAtE6DWrMW6aiP+f/beOziO+8wWPZNTT84JGOQcCQIMYBCjqCx5rWRLcizfdfnueu/Wvn2vylW3XFt1X+1b7+7dt/LaSlakKImySIqkKDGJSZSYI3LOAwwwA0zOeH8MutE90zMYUvS9W8/8qlAlkcSE7v598XznlBakbm1g2wAAIABJREFUfJl7IYSpuVQMjieSaKky4uDSXt2o049H2osw5w3h9QMd+O6WMipe2YxynLk2cccEVfk0vemsdqQRUiHkEi4MGgIHzgyCx+XApJXhlX23sK7WgGd2lGfsGL+xgs/0BiL44sII/p93r0DA51LxRCTkQ68U4+z1SXQNe/DEhmLYDApKy2mliSxjZ7nRRj1fRRY55FJhVpbL0el5SAQCvH+0F03lBoSicQY9eXqjJL1JV2xTUkXbo+3FGJny4qVdVegb88Cuk6DIqoLDQuDJzWWsCKK71ekk9Te/7d7+ndh/ikJKIBBg165dePHFF/HCCy+guLiY+rs1a9agrq4OANDe3o6//Mu/xHPPPUf9VFdXU/+2ra2N2nlqa2u7o89wLwJWvpSx+VqupXQgE+ZGJpn5MAIeOjeItw93YGLGj0udU+ge8eD8zUlMzfnRN7aARDwGtUIKjy+C9fVmBENhGDRSHDgzRNGLPrTOcdeF1Er7TIRUiM7hWUjFfCgJEdRyMTQKIf7LU/UwaQnGv3V5AnhlX2qc7vZGsJhM4p/eu5IRTMmCscgsx4YmOyN4j7u8eG1/BwYnvGhvtEAm4aHQpMza8WksN2B1jQEbGzNH3IfODeJf91xDeaEKakKEAqMcJTYV9fdsy9P1ZXrUFGvw+oEODE14sXW1HaFwHEIhj1UUcsQ5j49P9qO1yoDNzVY0lmhAsCT6AxMe1JfowOOnFo3ptu/UACOJLjApKOf09JYKePwpqtx0MhNSTJkNYnbi4gi+ujmVoT125PwQorE49hxdngSm71rlw3KVy7IVWfTu9cYmK57bWYlVlUZIxJkU4mzQ1Xx2Mehn8dC5QfzLnmvY0GDBDx6pZjj5bGezsdyA4Skv3v2sm7ofB870oX9iAcnFBE5cGse4K4CRKS8SixzsZhGVJguk2hLjitAVQirKS/OEtPoyPWwGKerLmALFzZU6qoP/vyJg/bnZvWzwnb8xgfICNQX1fYqFxdI550/Bccu0kIkFiMSSVMFRbJEjGksyEpQdrQUwqET48cPFWFdnx+8+uYX6Uj2+SqMyNqgJ8Lkcah8m3W/QE1W25JYU206fvpPP+aFzg/jwWE9eZEASsQC9o3OsEERgaYekMrOwW+m8pCfc2ZI5tqZY+vu31RhQbtdQv19RqMLhr0ao7/bMtgoEQjFUFWtQbFNniCmLhHz84zuXMTzlw7WeZTbAO0HLkIyCSkKIhjIdTDoZ9RofHe9F17AHMhEfJq0MCpkQgxPevMhJSCNkqWZVKBKnfIZELMDtgRlKfPbM9YkM4gKy2LzWO4PGcgOm3UHUlWhQZFFicTGJHz5SjSKraoV3z6/pnQ3mCQB8AQdvfNqJthoTqoo0OH5xDEpCCJlUxGg0pT+7bD5z/5kB9I3OU0Vj+vNr0MioZlbH0Bz0ahFU8pTu20+fqIJRLqLgd6R5AxF4fOGMxl17ow1tNQasrrYwtCnT71tK8NYNu5HAQiBKnS1fMAq3N4Tf7r3JaMC5PAEc+XoIj7UX4VrvDNbVWagdtzU1Rsx5o3jnSDdWVxsw5w3jau8c/nCwC+FIPGtczVenM72oIwstfyiGZ7eVoabkTzehBP6TFFL/GexeBCx6V/0HD1dBRQjvirkFSD2UX14ZZ11KZ3zuLLCcxnID1tUZYTcRGZ30Eec8frv3JkUd+eKDVdj9RQ+e316BeX8UMjEXU+4oIpEYXnqoGm9/1oWzN5xordTCoCEwxaJwfidGfuZch+TdzzrROTSHba12fHJqEFWFKsikIrx3pJvh1A6dG8Q7R7qwptaMaXcQj28sxienBjKcEX1Jn74kCaSc5YfH+7C+3oK+sXk0Veiwa52DgcFPT/rTO0ykkcW0khDhZt8sbg3MoX98ISOoswUzMkCMuwIoMMlxrceF5koj671XEWJMzPix73SKUridpZs7OevDf3x8C+duTGLU6Wd8h2xJAemczAY5tRg6NOlFTYkaP3+qgSGmnA6lC0fjuNozkwFp43A5+OBoD3pGPWhYCnzZdLzutvGwUoKQ3r3+4GhPxiRmz9EudI+kOsDhaBxldhUmXF7WXYxssEZ6M6V3bB5PPVDKClFMhz56AxH8du9N6n60VOvhC8QwuxBBfbEebx7uQt/YPH72ZG3OYpSQivLajQxH45BJhHfEjqmQiaGUiTPgSd+GaOa+5bZ72eDrHPLAopPgZ0/WYk1dZnOO3rlub7SBkArRMzIHjUIMBSHAmrpUIRAMRyEU8NBaY0RbrQWBYBRnbs3i/aO92N5mh1jIy9C7AQBCJkQ4Es9J4b3vVB9+817m/lYoGEEsCQrWWmlVgJAta9/84zuXGWRAuabaAFBbokepTZlRRJHGtqeVq/nHlnDTu+YvPlgGOSHMWyBULhNBIhZgwR+BXi1KaTqlTQ4ayw0Yc3oRDEVg0MggEvCwutqIDU12eLwhzC2EMe+LYFWlAeUFKnx5ZfyO0DIfHO1GmU0JvUaG/acHsYgkzFoZBAIe4vEkKgoUiCSAvjEPHlrrwA8erbnjJhjbZKaqSAe9SoI3Pk0xrgbCMfyPv1xH+Za3D3dgxLmApzaVYufaIrTVGLCu3ob6Mj0mZvwUo1+u6Xi2pjcdeUDCPAPhGAR8Lkptcsb9UxJiuDxBXOmZwZoaE9QKEdbWmjL20iw6RU6fWVOsxbGLo7ja46Kmxd9/sAJ6FZPMqr5MjwKjDDvXFqHUroFFK8H2Zgu8oRi+7mROJEmkgVYhgkEtzWjcyWUi6rvStSnT80mLXo4rXdOIxxdRZFFgxhPCs9vLse8UU0JgEcDxSyOQSUT4dAm2vr7BSjUFRCI+FUe3rLLDoJFhzxfM9QolIWaN4yvpdGZDVRiUQsQSi9h3evBPDve8X0gt2b3q/JFd9a9uTGZAn9hGxGz21qEOHL0wsmJ3bSVYzscn+zM66W8d6sDuz3uxsclKUUd2Ds2iyqHF9f4Z1JdooVFK8eGxPtzsn0PnEinC1GwQRq0cLzyUYngrMBJILi7e8UQq/TOz/f7xC8PYf2YQw1M+3BpwU7tLH5/sZySQAgEvFUBdAcQSCfzDz9aiulgHiYifQRxBTlA8vghaqw1UoknCvhKJRdSVavHSQ5VorbFkYPDpSX8ucgOymL41MIctLXZMzQYygnqupL+x3IDWagON/pr93nsDEVzqnMILuyrRM+JGpUOTcS2zsewAK4/NASZVbmu1JUNMOR1Kl1qADUCtFDOo+Pk8LsKROILhBKbdfvzsyTpsv0OoSa5rduT8ED442oNwJJ5TX4rsXrMVkU63Hzf73Th/cwqBcAx6lQSv7r+NumI9FISASlI2NtlzMud9cLQ7K1SCbulQW5ImmgyuG5vsmJj1Yf+pQYgEHNhNCky6AigwymCgwTnTi9G3DnXgzPVx6JVi6NTLbFZ0PD69E/sXW8upZobLE0AiufKZbiw3YHW1noKu3C3RzH1b2e5FXIonUto68UQSrdUm1JcZMs4SHXKqkgtQsNSAqyvRo8Akw9q6Zb2f2YUIzt+cws41DiSSCQh5fHx6bhCtVUYAizh2cRwDEwtYU2vC09vKKRHUl/feQFOFDj95rIa1iNp/qh/7Tw9CIuKjqUIPiYgHQiqENxCBViXDlMuLravsAJJoqmJCeQR8LvrG5rGpycpYmKdb+m7m3UxO2Zp/ufaqyLNxqcuVUWittJsYjsax+4tufH9HJd76rBv94/Mos6nw8PoCKJaSzv/77cvoG/OiyKLAlW4XVi013mQSIfrGPEgkFmEzEGiqMOLtwx3Y0VqIr25OUAQ22Wxy1odX93dgfb2ZIs+xG+UUPXltiRZ1ZSmyjOEpH673zaKtxkB9b/dCCLPeYIa8BN3YJnYefxhyqQiEdLnJs6lpuUFD/s7AhBfXemexqckKgyaFULkToXc2KHk68kBJiBEIRWFQS9E17IFWKWUUoIfODWLS5cNLu6rRXGlEY7kBCpkQ0VgixTrYXogymwYSsSCnzxQJ+Ygn4gA4GJn24vu7KjHq9LHCpenU/oQ0NYWSCYV46zCz2UdOwKoK1egaceMvtqQaegUmBdVYTs8N2fLJ4xeG8cmpQXSPuKEihPg/X2xBbYmeyiu2t9ox7Q7B6w9j9+e9KWbHTcXY1GgGsdTgk6ftNBZZ5AhHYtCmiedmmxDmkvvI1hB+61AHbg15cPba5B3DPe/G7hdSS3YvsegebyjjQO890Zd1RExPckhnsFJ3bSWYAX0vxOOLoLFMg3l/mGIJ8vgi+Nvnm7B5VQFKbEqsb7DCYSagkotxe2AWZr0cgXAMz28vx4GzQwz886dnB9Ax5GHgZfO6xnlAiUac83jjYGpc7vKE8MAqG57eVgEBF4gvdSQf2+hAsUUFJSGmnOHjG0swNuNP0VCnsc+QExQSpvjagQ7oVGKcvTaO2wNzaKzQwawj8MU3o1gEqPuTjaHm2MURmLQyRmeVftjLC9TY0VaA5kpjBlQtm7OgB3lCKlxxX0gk5KN3dB7vHOlGfZketSU61sDI9h3I520lhkMgN1Vu+p+7PAHUlupR5dBga4udkViX2dWwGqTY0VYEs45If6mcRl4zg0YCLheMXbpwNI6Tl8bQMeSGVMxHfRn7daDbgbMDMGtljI65ihBTbH0iAZfayese9aC+TIevbzmxqtIItVyYNViTyQeZ8Dy2wZGVJj7dwtE43jzUiXK7Ch1DbmxdbUeJVQ1/KIpjF8fx+IYiPLzegdXVlqzPpXPOjzPXx2HWyXG9bwYGpRgyqRC7P++ignKlQ5PRiZVJhNhztAu3B915n2mF7M6You7b3dm9Qkr4g1FIxUIc+XoYkWgi4/4evzQMk5aASi6ARSdnJFl0fTjnbGoKXmZTQCUXwL0QglTMQzzJwZdXxlFeoEKRRYnhKS+qi7RYXW3KYIB7dENxht8nWUrbGyyoLlZj2h3GB8d64fIE8R9/TEGIvrOlAsnFJFZVZRbsZAOzyqHNSpW+kg7eShaOxhFPJDP83qWOSWiUqaTwwbUFqC81ML6fayHAKLRWV+nw6dmhFXcT+Twu4vEkzt2cQE2xDhOuAJorDNi4hD6gKLf9EVzpdmU03lJxQYO1damiaWLGT+2ntVTlnj6TTbirPTNYVWlEhUON3hEPuoY94HE5sBkJtFSl9B7T98mOfj2AS90uBryNjG/uhRAF5aNP7L67pRjXemcZ94gtPuXajblToXc6lDwbC2R5oZq1qUmf8naNuLG21kR9JxIN1D08zyiGsvnMQ+cGcfLyGCocaqhkEoSi8Yyd5Gz+VUWI0TM6C0IqAoeziB8+XI3qYj0CoRgcJgI8HhcKmQjz/ig++2oYGoIPHp+T8V25XA5rc5HMxaZmg2gs12NtnZUisSq3qzDvj+LMtQmMTHnRWmNC/9g8jBop2lnQJiQqZE2tlZqobWq2YFNzQdYJ4UpyH2wNYfJejkx5sXmV7U8mZE+3+4XUkt3LQiqRXKQgDH/9dD0EAi5DWK6pSAVPMAKlTJwx2iadwYQrgNpiDf7+xdVZE+lcsJzBMQ8kYgE8vgg2NVlwrXcWXUNzqHJoqV0REuZEBoaz1yfx5ZUxiIUC8Lmpse6nZ4fQ3mBG15AHTz1QCo1CxNDZuZNKPx+dJxVtXP70ljI8+UBZCnLyaSdaqnT4wa5KdAzNU4fr6W0V2LXOgSKLkjqIbOwz5KTnNYqxxoaxmQCSAKocauw90c/quMhEmGTc8QYi+Jf3r1GdlwfXObDnaA8udU5BpxBDo0rpOZHvTf8MuZxFepDPZ1+ovkyP9gYzXPPhnJANuUxEFXrpz1uu+5atY+oNRBAIxRjOne7wWqpMGY6fhEIGQkxdGjYGP7qR18yqkwIcTob207GLw/jim1HwuBzUlWpR6dDkLKS8gQj+7YPrGR1zILUArVcJ8UBLAQiJAEOTXrzwUCUFQRia9OI7W8rA5S5iTa0ZJTYFWqqWoUF+XwiJRQ6V8KxE9043jzcEiUiAU1cn8JPHasHlLkJJiNGwlEw4LCrG3hNbgUZIhdArxbjeNwOTlsCtAXcGUcjWFjsUMmHGxPZKj4v1TN8LBtL7dvd2r+KSihDhlf23WH22c86Pf//oJjy+MH70SA1OXhnD8zsroFOJIOQsgpCloKxdQ3NY5HCglovxUHsRJEI+Xv+0C1aDHIe/GkYgHAOXw8ELu6oYgrak31fI+PjZk7XQKqUZzxQhFcK9EIJFT4DL5eL0tQk8tXFZwHdxMYma4hTLXzbL9pzeiQ5eNjtyfgjHLoxmMMd2D8/ht3+8DQEP+OkTNZhwBfDbvTcpaDCfx80gsGisMOZsKNKFwssL1BS7JxshR0pY3YxgOAYBn4OfPFYDm2H5GpGxPde0Jtd6QGWhChua7NCrRFgIRGEzyFFoUeD4xTEQYi42NliwsdlKfa7JWR+4PC7lM2USHoYnvfjkVD+8gTBuDbjxyr5biCfiuNw1jet9KWH6mhId6z3K9rnoE3A6DTgdKbGSKDmw/MxkY4HMRoI0OeuFTimFaz6E1mpjRgOKvkvoD8XQUqmHPxTNgFyT8W102o8iswJnrk9k7CSvNOm3GRSwKIWYD8bx4Yk+ShtSrxHjjU87UWZX4uTlcZTZFJBKhYjF4tR+1YNrC1BfZmBI0Lz0UAUud81geNILs47AVVouRj5TJIlVU7keqyqNuNQ1g22tdnx3a2nOuEePYYRURE0wPd4QlISIFUkUTyRh1sngMMtZm7rdo26oCREUhBA1xTrqXo46fagqUuOvn236kxZRwP1CirJ7FbDSIQznbkzhes8MqhxaxBIJPNhmx9V+D/7waScMKjGl10FP4ElnQHaSslm2iYLLE8A//OESqh1KPLetAieujKFr2ENh5H/+nfoMRi/yQMcTQMegG1KxEN/cdsI1H4LbG8Fv/moDGsoNGTo72QqibM45nylIY7kBtcVqNFeZGEFwaNKHDc1WRjelvcFMCcJxuRwMT2VOccjPQp/0rKuzYNoTxPmbU9CpxCgwyrPueaRrIyz4Ixhx+lBqU8Gil+FS5xSUcgneSdvfSjc22FeuIL9SAvvekS58/vXwihBQssjJ9rxle222jukfv+zF9d5ZBpnEqJMJbUmHVGRbFM+nS0wGsrZaUwbVeySawIWOGRRbFFRwX0lAlEzq6B1zuikJMURCPlXIltnVGYH0Ysc0Dn81DIuOYEBmXz/YhZYqHV7YVXlHRRR5f6x6Gf7+xdU4dWUcH53oh4jPQbFNlTccYXLWhyKrGnqFGKevTaBr2MMalNOLdJmE/UwfOT+ET88MQMDjwGaQ5/197tu9s3sRlw6dG8T7R7vRWpsSlk732SQBSveIB2UFCqgVYozPBPHxyQHEF0E1+NSECH841In+8XmoZQIkkknol6jM2xssFARKIRMy2AC9gUiqU7yCFlljuQFD4x7EEgkUWRRYCESXCiugyqG964lSLohzNqM3eMLROD442pPBHBtPJPHKvptoKDfgao8LxWYF9p8eZECDdSoxTl0Zw7wvhB8/UoOtrYUr71qlNYtIf55tLSAYjuHzr4dQZFFhz9Fe1muUSC4itNTc3bzKRrG1rrQeQMYiQipCfakeRq0EbxzogFUnhUgkxNtHemBQSqBRiPHRiV58cqofJrWYgm399LFa7P6iB2trzeDxuNT+bG2JDscujGHCFUDXsAePrC9CNJagpioVDl3GZ6EbGbdOXRmGc9YPkUiAm71OFNvUlBZXvtTgpLEJ9bo8ATRVMJEl5D5cqV2B53dWUvE7nUqfJDvY3mrDrQE36/NL32WzGeRYV2dAe4MFMjEPP3i4Jm+4dCiWyCiULfrUblbn0BxWV5uwta0A03NB7D0xAKWMj58+XoPRaT9FGkFK0EglfBy/OIZrvbMpiOI6Bx5YXZDRmCZzVDKelFhVd9ygIK8nPf7R41I4GoPNIMf5m1NYXATjGfUGIojEEvi3D67j1sAcxqf9jF3v5god2hv/dHA+ut0vpJbsXgSsdAhDe6MZbx7sogqYHz5SDYGAT3VrnJ4g1taa4Q9nMovkQ1LhXgixsnORU61jF8chEKQClkjIw7wvgh2thSg0KxkCt+FoHGIhn7Hbc2twFu0NlqXiwk6JqwEpmFahUcbQ2aHbSs55pQf7rUMdePNQVwZdJ117Qyjg4CeP1qDYpqbe89jFUTyxqQSPbijJ+lnIQ6+Ui6iO0cRMAP/t+WbsaC3IcFxsjDsHzgyiqVyPLy6MwqASo63azBBBpWPkSRtxzuPdIz3gAKgt0WBDY6oAvJsgDyw/aytBQOmdSKcniLV15oyCcXJ6HoFInOqWZYNgegMR9Ix4qGAoFfMwNevH1GwAFr2cFVLhXgjBqCEY33Fjk/2OusTlBWqoFWIGjGRjkx0yiRC9o26UWJUUDW4+zHH5FPPAcgJDLzzYOruzC0G8ebALSkKIxjI9tHIh5ER2Qops92dqNojWGgP2nuhHU7keB88Nwx+MooF2hrJNiOhF6dbWQkzM+FBkVmBVlRFWA4HvP1jJeLY93hDjs9WV6GE3yPDohmKsrjYhHI3j7LVJEFIhPj7Zj0AomnGW70+r/vT2beNSOBrHbz++gZpiLa50z+DZ7WV4YlMmWx9JgKJVSuEPxliFXNUKMYWWKDAp8N1tlbAohWirN6Ol2swKgSL9b5VDRRX32Zo+4Wgc/+Oty9AoxLDqCXx8cgADEwv4L0/VMQhWcu2+kDY968OcN0RNJPIVBQcyYYDkjicZQ0k/m4JMxtA9PIefPVmXIt4IxcDjcigIXHNFSpevc8iDy90zlG9i80FjMwsMRky6UHguEwn5UBNCxjVKlzyZ8fjh8UVQV6yFSMhFQ5nhjlg7SZMvsX0+sMqGfacGsbrKiCSSCIZj2HdqEBOuANy+CH64qxKbVllh0BIIR+K40e9CgYmAdSlOVBaqYDMwm5eN5YYUWcSJlckigNQkVUnwcb3Pg92f90CjlMKiFGJuaYUhGzV4Nr986NwgfvvxTarI/+OXPfB4I5iY9aHEmsozSNhYiu6cwIfHejNYBUlLsT/qs54nIFUEB0IRbGqyQq0QYHwmhCPfjKCyQI2aEj0r+oP+/cmYnQ3W2FhuQLldiQNnB1FTqIQnEIVVL8eFjmk4zHLsO80kjVDIUlMikiFwdNqHmmItpWdFfz7o1zA9DuSzI0feC3r829xsZUxK6fIKvmCU0sIk/QqXCzhMCtamxN2KLt+N3S+kluxeFFIiIZ96mB9uL4RUwINYLMC0O4gqhxabVxXgRo+T6tY8vL4Qm5qsiMSTd8wsspJ2C71jUGZXo6Fcj0c3FONqzzQ6h1ICt28d7oLXH8G/fZhiBnykvZja7dm62o6WKlOGsyf3VVRycYYGCZDfHlQ2NXYA6B2eYxQlJJwhXXtj1OnDH08NIJlIwqKX4eW9N+CaD2F4KkUdPu3xg8PJxP2KhHzweVzWriCbs1LIMkUUw+E4vrgwCrc3jL7xBXxvVxUrVpxuKkIMrz8MLpeLix3TjMXVOwnypJGff2zaj4YyHf7uhRZWGCDdwa6pNeMHj9QwYBH7T/fi9tA8I3HI1jH95FQfOBzAZkgFw58+Xovu0Xl8eXmCAXUki64PjvVQz+gPHqlhLNvmW0CSzpvP42Ys7AKpAkAi4iGeSN4Rc1y24JTNyIZDOkxnfYMVKkIMDicJlVyC/acHIZMKqKXslRKCz78ZgllHMJ4vEZ+Dg+dSWmZ0xff0/Tr3QggefyrApBel6xtsuNbrwuGvhqGQCbG2fvmaZMOdyyRC6qzGE0lc6Zmhwf2YyvP3Si/vvuW2bxuX+DwuNAohPvlyAM65IHpHF7ImzIRUhC+vjCIUiaG2WIPvbCzBplVWOCzL9ze9a08QYihkYlYIFD0W+ENRFFuUOYlY+DwuOBzg/K0p2PRSGLUEtAohEslFxhlZaffl5KUhXO6ZzZhI5NMtpzd4PL4IWiu0CEUTaCg3UDGU/rnLC9RYU2um9j7ry/RYVWkAIRHAbiJw7NIo2pYYZdN9U/o9SGfEXElXi24mLbNZRbKzuRdC+PB4L/5wsAsOsxzb2wrRUGag3v9OWDtJayw3QCTgQSTgQSLmwReM4+yNCYo5d0ebHf0TXooBta3GgO88UIo1tVYUGuV4cE0hWqrMGRC9OyGLcHkCMGoIzM1H8PbhLuhVYmxqskAtE6JvYp6CrqWLNb91qAPHL41ArxDDoFkWliURORIRHxWFaihlAvSPL2B2IYL9pwbhD6UaWiRsrMKhxvGLYxSr4D/8bA2rTM35m5NYCIQZzy95b9461IEjXw9BIhJi78l+bG8pwIGzqSbtl1cnEAhHcKNvLkNKhPzd19ImXNm0FFVyMdSECLeHPJj1BLGj1Y4nNpWipkRPCUy3VhtQZFnWBa0v08Oil+CZ7ZWoLtLmpTdIGtuOXDbLVgCmF0q+YBSrq4x4df9tKGQC7FtiZh6f9uNvnmvCQ+scf3L4Xi67X0gt2b0opNwLIbz3RTfaqk2oLdHhf354A9UOJb63oxIN5Sl18hK7BoVGObY2mjA07ce8P0p1K9ILj2wsf+6FED460Yu1tWZc73ehtcoIiViQQXuc3jHw+iO41DVDCdwqCRE6BucYHULxUhJM/q5IyId7IYSZ+QDES9oUuWBkKznnbLThQCqI7T3Zi2oWsVx6EHTO+fH2Z92ocmhw6uo45BI+LHqCwvd2j7jB4/AQS8QhFgqyfpZ8JxPpCXylQwNgESNOH5UQRKIJbF5lhZIQscKgwtE4DpwZoDqyHM4iSu1KqqDMFeTpC7rkdZJLRdTnb6kyIRiOMQIzvVglHWyVQ0MtxAKp7lo4ksD+0ylBwQqHGnqVKAXjSLs2zjk/fv/JbXQPe1BqVeDHj1ej1K5F/7gHxVYFVHIxBAIumiuM+OyrAXC4HLx3pIcxJTLS9L8OnRtE11InNxuDH5vzTl/YBVLP+Z1c/GHCAAAgAElEQVQwx92NgCy9cHh6W0VGwFLJRVQCtqbWTIk650oIRqfn8fs/dlBF6MZ6Iw6eH4aIDxi1BPyhGP7qL+qxyFlknL2FQATxWAxXe2fxxoEOqOUCGDVMJr9sSUm+yQqfx4XHG4ZaIc6A8N5rvbz7lt3uRVyyGxUIhKKYms0uWzE2PY9EYhH/uuc6RHwutEox+id9eO9Ipl5Ztk5vOmT03PUJqJViyCQ8PLWpFNtaHbAZpHh6ewXr5Pzzb4YQCMURCsehVYnx2IYSOCwK/P6T5TPSXm+EfCkmsu1XTs76IBTw8V6eYqXpRjZ4Wqq0aC4z4Fr/HF7dfxuBUBTVxVqIWQpQthhYXqBGqV2FufkQbvSn9oAe21i64vvnK05MN3IynC6r8MGxLmjkErz9WWo6M+EKYG0tU2OOLQautLcKpKB1lQ4NvIEwPj45AF8whppiNTbUm1BVqMOtQTfVhBmc8OKJTaUQCfmY86UQCvTXIS1fsgh6I+iBlgLweYsgpCJ8fLIflQ4tXtnfCaNajB89UoO6Ui1jT+z4pREUmJTY/QXzuebzuFARQtiNMiikQnAWF9E9usDaSGosN0BF8AFw4JwLor3BgvaGTK3O1IT1EjoG3agpUuHHj9VQDUPSDz+xYXkPcD4Qxo7WAhw8N4yKAg3kMmGGlAiZ56VrQ5ETrmyFZ3IxQaGjLnbOoL3BBCUhxrUeF672zECrkFCkLmSsFQn5VD54pcuJl3ZVoWfUjfJCddbJ5eXOKSgVYlZq82yWXgDSGzBkobShwULFrcnZAMUkTfqz/xXwvVx2v5BasnsRsCRiASLRKKKJRdwedKGmWIdjF8fB4XIYHeGFQARJDgez82EcPDeE9fVmSER8rKlbZtPJJQQnEQvgnE3pTK2pNWNtvYW1Q5EOvZGIBRiY8EAhE0GjEGN8xp9B0Z2evF64PY5zN51482AXItE4VlUac7LJAdkLlGy7MuRnjUbimJwNYXY+gB8/WoNtWRJsQipEMpHEqavjKUc96cXfv9iCnWsKoZTw4XQHMez0493PelBeoMy5bJjvAaQn8O8d6cLVnmn88JFqbF6VYpz5769+g0PnhnB7cI41saTDQzQKIQpNyqwFJd32nuimFnQFvEWcv+XE6wc6EEvEYdbKoJKLM+7ZRye6MTMXxEIgTC0ef3yyL6N4UBFiXO+bRolNCbOOwPGLY0gkF6m/Z1MtH3X64LAoqUBfV6LHjT4Xzl6bhMOkgMOiwKWuGRz5ejhrJ5ZMxAcmvLjS7cpK736nsJN8Jkxf3RjHxyfzhwGOOOdZGwgiIR9ef4T6XbrQbolNAQtLB316zg8+n4t4IslYQu9bYjqqrzDi4NlBnLvphHMuiGe2laBzZAFvHuxCPJFAkUWJqdkAXthVCUIipOQAhiZ9+PmTNdiy2k4FarakJByNg8PhsO5KsFmJTYXqIg12rilknJ9sC9j37d7bvdrdJX2y3UhkLLy/d6QT13pmsfdkHzY3W7G62gSxkJ8hN5HPRIc8x+FoHLs/70Y8kYBZJ6cS141NdtYdznl/BHweDwfPDmFo0osZdxgCPhff3JrEllVWbFltRzAcRVOlhfodtp0TuVSEm33TUCvYJxL5WGO5AX2jC+BwORSJhkEtzbrblW5kQ5MsblqrjKh05H9G8tWaAjInw2RC7V4I4VLXDIYm5lFqV+e8Funi49l20dKhXe6FEMoKNAiEojBqZVjwhRGKLeLzb4ZRZFFk7FzmaqKSlm2qQhpbI8ioleGNpcLCNR9Ee6MFi+Dg3SPdjL0amUQIvUKM3V/0ZDzX7oUQ9GoJbva7sf/0ILRqMYR8btZdcMUSsUWu5h3pJ7uHPWiqMGIVjSmR9M9Xe1OsiNPuIBrLDXhqSzn8oShuD86hyCKnoJD0GJpN1D2XpSMpNi1pWb289wYqCjS40OFkxNpjF0ep56quVI/bgymk0Pp6E1QKMSuiyL0QwvR8EHPzQQp1tb3VjtXVZsaZZ4NW0v+frRlP1zzc0mLHd7aUZcSl/51Q8/uF1JLdq4ClW1oyfbCtEAOT8/j+zkrcGnShxKoAIRXhrUMdePuzbiikfERiCRg1MviDMXQMudFUYUB5gTqnLgWwpKWw79ZyxV+tZ2Cr19UZcfTCKH6zO1PYsLZEjwKjHM2VBjy6oZhB0Z2evK6tM0HE51MaBVOzQTy3owzP7qhcMXki96/oppCJUsuDRjnqSjRYX59yAGevj+PMtQm8dqADLVU67FzjQJE1d7BimwqJhHxMuPzgcblUEjDhCmBjo/muliDZzBuI4P2j3agp1uGj433wBlIsdTqVGJubrWgs16Mki6o6CbGsdKgZBWW2JMW9EEL/+ALVlXpwTSH2nuwHj8uBWUfglX23oJDyGTjn1iodxmb88Abi2HuiH/FEHPO+cNbiodKhhVy6LJZH/3s6LT+Qn5Ds+gYT/vBpJwAO1tWZ8N0tJRRdL2lsiXg6w9Ldwk5ymTcQwX/88WbWAi/dyIVlegPh2e3lmJzx46ubU9j9RTfEAg6Kl+43eX1alyjK6QnBe0c6cb13Fpc6pxkJGdmBbqu1wO8NwheOQ0mIYNbL0FBqwLtLnXUBn4toPI7v76xE/7gH8UQSBo0MMgkP/9f3ahFOcmE3Khmfn/4ZyIRLIxeBz+MwdiVyGQmDTZ9258Mqed++vd1LNtk9R3vw2oGOJRhqSqtndHoexy+myIg8vgjMWhmu981ASQhh0GTXK1vxc/sjGJ7y4YFVNsbuzroaA7yBMGLxRUjEAioxHpzwotBMUBCoxzYUY9/pAYgFPPD4qb1inUqKxnJDBlV1uv8ssqphUYuxgcZMm69Nzvrg9obwxqedUMtFKLIqIeSn5BAC4Rhi8QTW1pmzJmxkQ1Mt54PDTTWr/lTSALkmw2TTNJHkIBqN4+dP1aDCqqDYgrN9d3KqHkskUO1QUXlHerOOPtV/8aEaVBSqYdUReOezboxO+5FIJvHcjjI8ubkMq6tNOZuo6ZZr/43eIHrhwTIo5SLYDErqz1ZXm/D4xhJqr4YuGDvh8qKsQJsBKSe/S0OpFu9/0YtAOIbFJPD01jJUOjTU3iibcbicnMk73U+Go3FMzfmo699YbkBdiRbrG6xUXPUGImitNmNDowXNFSaUWJXY2mLLgA2alUJsbrGhtdaCCZd3RXZC8v1WVS5PO8kYe2twlrHnVVeqYzxXzZUpvTCrTgqlXIwbfXPoH/egroQJ8ZOIBbja7UQgkoBFI8Ej7UUIhBOMQp8NVs5WWLE148k/c84F8Y/vXAYhEVC5LRvUPKV5F8zr2nxbu19ILdm9CljkQZ+c9UMtl2DPsV7UFOvQ3mijRrJKQgR/KAqLToZKuwZ7v+xnOEOtUooFfwSBcAzPbC1DU6UJU9PzCIZjCEXi4HI4iMUTDPFOunMZnPBj/5nBrNAbiVhA7Z0AywVPevK6rt6K3tFZyKQiRidjpao/mzo9ANzoncWZaxMosihRX6ZHOBqHyx1gdNe3rbZnFBZs3YYqh5aRzI1Oz+PNQ51QK0TfKgnIZSIhH3IJP4Pc4JvbTuw92Q8lIco5YeIv6Trkux80Ou2lulJFZgJGjYzCZ7u9YUzOBakx9zPbSmHUSDHi9DPZkS5mx+kDqW5VujYHG/yNxKXTPx+dNnV7awE2NNqQXEzArJMhHo/DqJFDrch0ZPQAQxYscgkXfAGHCt75Qi/zNZGQj1lPCNf7ZvDCrko8uiE71IZM1pSEEG01JtQVqfDd7ZUosihxtWcG39x2UoQQ4WgMZXY1+DwuY8GbDA7OOT+++GYEgVCMgnbGEwlUOtSQS0XoHZnHtNuH28MeqOViFJjkeHh9MXpG56AkUuLGD60rQHKRiz3HerFrjQOfnhvCulo92qqN+PK6C7s/70UykVxqMIDxGegJV//4Av7muWbYjPIViyjS0qfd5FkkJ2t/jhYKhfB3f/d3+Od//me8//77sFqtKCoqYv23XV1d+OUvf4k33ngDu3fvhs1mg8PhyOt97lVcWo49QqjkEmrqsKm5gFosJySClB6biA+7kUC1XY2Nqyx3LJ596NwgXj1wG2V2JUadfhRblZh2B/H8jlL0jC+ga2SB2vtYV2+lprIVhSpsby3AjrYCrKoyQcDnor3BQk0Qii1y3B6cw+mr42gsN+T0n4RMlAHnS28GpBs5jal0qCAVCXD+lhNrq414bFMKYmgzELjcNQOJiM86lSKvcUOpBuEY7pg1LpuRk6D0GLjSZLi2RA+HSZ5iFeyeptiCw9EYCk2KrALuQgEH1Q4t/nCwC95ABMVWZUaD9bX9HYz4p5KLoVFKGAXNpuYC6j3SY97GLDGP1Oqif890qCHZILrSPUuhdn7wSA21Z0zPYx5cWwgeODh+eYy6H/R/SxcFnl0Ioa3GRLFPquRiNFUYqe9Ap6UH8t8T5fO4+PrWJE5dHcfFjinoFSlWQ2A5RhBSEaNYJWPesYuj+J8fXGe8x0cnutE77kU4FMX529N39JylTzvry/TY0GhBW62ZirX05+p7OytQZlcjHInj0Y0ODIz7cP7mFCx6Aia1CPK0YrjSoYVZK4NGJYZRSzAKsrV1Jrx2oIMS3FbLhdh7oi/rLrFIyKcarBPT84jEEpCKBRnNg3gimfFnfSMunLw6ec/O4Ep2v5BasnvZ+WssN8CkkzCmSmvrjDBp5VjwRzAwsYAfP1KNV/d34tjlMVbWtcZyA9wLIUy4fJh2+zE87ceQ04uOQQ9e2XcLNcVq/OVTDVhbZ8F7R7rQO+bGjx+rgc0kx+ufdqK2RAdvIIrHNxajrlSfMZbPRviQnrzaDAoUGuVYX2/Kq7tHqtOzFXFscC2ZRIihKS9sRhmlzdNWw+y+5HJYdIerJMQYdfpwa2AWz2y1Y/OqQmzOgjX/NmPgApOCUXgUmuV3rFOSD8EEIRWiY2gWhJiPB1ps2LLagcZyA/QKIRKLQDSewDPbyvBIewm2rrbjctcM9p0ZzGBH0iolGHEu4CeP1WDHGvZkr7HcgOalbhWb4vyHx3sZDo/u9EnaVPKZ0askWPCGMOeL4+3D2R0Zn8elCpYymwKLHB4udToZgWYlOF/61Gwlqy/TY12dGWV2Tc5nIJ1AIrHIQUtVKshMzwVQUajGoXPDUBJCWHUERdjCFlAJqRATMz4I+DyYtFLIpXyU2tR4/UAHOACsBhm0ChG6Rhbw6dkhKGQiWDRi1JUaUWJVYm2tEUYdQXV0XfNB1BbrYNTIoJJJ8P7RXmpfcHFxEVVLPoTs9LElXPlCWul4fI8vgkQigf/3wxsMkpo/R7KJV155BdFoFG+99Rba29vxi1/8As8++yyEQmaiHgwG8cILL+DXv/41/vZv/xbPPPMM1Go1JBJJXu9zr+ISCQdaW2fKYBBbV2+DRS/BzrVFkIj4aKs14c1D3Tj09TCudLtyTg/SjSzanXNBeIMx/Pw7DVhbb0FbjQE6tRSjtCYP6VvW1lvQ3mBGS5UZieQiNIrUtSkvUOPaEjkTh7OIJzeX4N0jPRiY8EIm4eFvnmvKe+LEBn2nG30a0zHowc+frMG6BjOaq1I7hFe7ZnDw3FDOvUDyGm9dXYB3j3QjnkiiyKKARinMqyvOtpv03pEuvLr/NjzeEP79oxsZ522lybBELMC0xw/B0lQvnkjCZpDjvc+7IRZyqWk6aSkiCS6jUbijtQAiIXeJvU2D1mozvIEIqgpV+Pnj1QjFE1SCnj71SH/tdLIguh05P4RLHU443cEU66hFmRVqOOcNZqB2bLSJPJnH1JboEIkm8M5nTBY/cnp//NII1XRdVWnE09srWNkn02np72RPNByNwxeM4Fa/CzqVDO+yyKSw5UaLQMZ7TM56Mer0o3fEg03NBRnf626Y6shYQI8J5HN1qXMaL++9gee2FyMSX8QHR1MSJDOeEJ7YXMoaRyRiAQipKCPuNFcakVxMQK+W4vBXw6iwq/DhiWVJk/R93bcOdaB7yI2R6QV0Di/g1f23WddL0t9HrxJjMcmhkFTf5trka/cLqSW7l4UUkIlJJeFQKWFYPRwWdU7hXW8ggt9+fBMvPVQFHpeLWHwRkWiCCkJj0wE8uKYQsUQSL++9geEpH270zeKpzWUIhGLwhyL46WO1aG+yZYzlSawyh5OEWi5CNJZgJKPph0MiFmR9COkF2uSsD6/u71haxhRi62o7aoqX9SCywbUKTYoMbR4yyc3msOhJMP2/G8sNqLErcPQSs1PjDUQw7fFDJOTj86+HWQuzbNpXbEbHR2djoFspyc8HblhTrINKLkSlQ0d1VAlZauo1PRfAxycH4A1EYDcSeP1AByZcAQTDcbywsxyPtJdQ7EgjU17s/qI3K8ECXXdjbb2FUSiW2pQMXHpbrZFGWbpMm0oaj8cFl8ulYGm5HBnJgrS1rQA3+mayBpp0S+1gdDGmZvnePzoDnkYhgljIY+1U0wkk6Eu9xVYVrAYCAj7gMKtw+PxwzoA64pzHxiY7CowyrG+worZEu6w9MhdElUMNPo9HXS+PL4KtrQUgpCkWPZVczOjorq424QeP1EAk5MEXDEGtkOL00r7gqNOHXescVAJGXse7geJ5AxFqOj7tDuKZHWXYe6KflaTmz20y9etf/xq//OUvYTQaoVKpcPHiRUgkEpSVManF9+3bBwB44YUXAABcLjfvIgq4d3Hp3SOdmHD5sKbeCLlMiLoSHSoKVVTTitTiyyY1kK/Rk5rHN5agYakhaNAQUMrE6ByeZd37oFMak3HK5Qngn9+/DqmIixd21aBjyAXTEvSvodyA5kpjXuc913I+aek+vL3JTvkrMq6RzcknNhVnwJpIayw3IJ6Ig8fjoNSmRDyxiLcOdSGWSMBulGdlC2UrGMjkWkmI0Dnkznre+DwuY9qWHneUhBjXlwpSs06Gm/2zqWn62SGKjY7s/GeDP1/qdOLYhTFY9an43FhuwOx8AH2TXrgXorg1MIPqolSs53A41H1J98lsBbl7IQQOl4NjF0YgEPBx+KthqBRi6NXirBB4tp2fdBMJ+fjgaDdisRg0Szs75J4YqUF07sYUuobn0FZjxM2BWWxstFJi7GSizkZLr1VKs04D05vUN3tmMDQ5jw0NNkZMpJMwpHKjFCHMCw+Wg5AJoFVkvoeSSJ0hJSFCnOV75SNC7PIE4AtmigOnWzAco4q7v9hcgqt9s7Dr5XC6lyRxasw5fx/ILPRJfTWyIbi62sRKLkI2WF/aVQVvMEaRN/mCMTy/vQxbVtsZO2f095FJhJiaXQBfwL/rPck7tfuF1JLd60IKAIan5rGm2gQOd5GxbEo6cbJD096YuYArEvLhD0XRNTQHgYCLSCwBABlBiK04SS3LzuOdI92QS5g7NKuqdPjs/DC+/2AlPP4IOoc8rPSa+WjgvHekEy/vXWZ6kUtF8PrDCEfj6BzyoLZEl9GtZoNr0RdIPb4Ikskk/um9KxDwuagu0mY4EzIJFgt56Bnx4B/fuQyFVAAVIYJELGDoSHA4ixDxgQud07jeM4ujF0ZYBWzZGOJWKoTS94foE6Z8meHySf4JqQh7jnaha9iDBX8IDosqY2pEChqSNOcbmwuoz8c2YeJwORSEIn3noLki1VEkC8V0iu4Njbac+0t8HhfDk15IJPk5ssZyAxajUTgsKkagWVelw5w/TAUGksXyxMURzLiD+OOXA1ASQmxotOD0tXFKWHAlelayOFcSQohF/KzL1bmWevm8FLPZ7/fdphKsJzeXoLaEKSRJL1DbG23g87iMpG1jkxWPbigBIU0t03p8EayvN+O1Ax0ZhX56R1cmEUKnJqCR8akE48G1DuiUYlZmvnTNnlzFD/08vPhwNdbVGXGrfw5qOTtJzZ+b/eY3v8EvfvELqii6cuUK+Hw+mpqaGP/uwIEDiMfj+OCDD/DGG2/g1q1baGlpgVicmex4vV64XC54vV7qx+l04pNPPvlWcenEpREcuziGUpsKn50fgVYhwbGLY7Ab5FknxStND3L5LXpSk+4Ha4p1MCqFeKS9hAExZuvIaxQShKMxCAR8HL04DJ1KCjUhwLYWO3hcoKY4P6mQfJfzs6EE5NIUGUEkGsMv/qIWVqMiq3xH6v1EKDSlSHe6R9zYujr1ftmorLuHZ/HukUwCBDK2943NY1OzFc65IJ7dXo4ii5JxdslpWywRx+Wuada4U2rXwKIUorxABb1aioNLTHENpRpc6XZRPqqt1pwBf2aLHzPzAchkAvSP+XD4q2GYdQTMSiH2nx3Cy3tvIJZI4FqPa0XKbPL5iMbiWFNrwvs0treH1joQiyezQjhzTb+AVDL+xqed+LpjGqurdPjezkpsXlXAoNaWivlQEWKcvjaJ9oYU0Up68p+Nlj59/ykYjmHP0R4GocbYzALePNQJlUKCeDwGnUrGWvztO9UHXyCKnz9Zg2t9bmr69fS2iowGWE2xDjqFAAVmNZorDWitNmDzqoK8RIj3n+7FzX52cWDSyEKQnlu2N9hw7OIo+sYXUG5XoWPIja2rM/NWNqP/G3ouQTYEWSnbKSImD0RCLsw6AoHwkrjxoAdvfJrZdKDnq9FoHFVFWrQ3mP/kRRRwv5Ci7F4XUs45P/79o5s4eWUcI1N+1i4YwN6hAVIOZmhyAQ+tK8KGRjvUUj6KTApUODR4YJUVGxpTToVUjacXJ3THPEXboUntsNjhDYRhVEvhmg9nwCzmvakEdSUNnK9vTeCj4/0ZrGrlhWq8ui9zNE639ABMXyD97rZSfHwiRahQXqCEVilG94gHsXgSCkKIMruKmlAlkkmcvzkFHpcDlUJMBalNS6K9gXAMD69zwGpQ4PTVcXQNe1gFbNmCOF0DKV98LZnMuhdCuNLlxI8fq4JExIdMLMDCQgDzoSgjAOerzTA04cHotA/xxCIOnEl1EdfUMqdGpKAhmQjQE50vr4xCr15m0XF7IwwIRWO5kamVteR4JGJBBkU3ST9cX6ZHc4WOkWjRC0+LnkCVQ0M5edKyJWAEkYLzkZ/j//heI07fnKZ2p85cn8QfDnaBA8AbjOLYpVE8uLYAKrkEE64Azl6bzMrwl/6eZNe8oUyXVSiRNDaCDdJkEiHcCyFc7XHh0fYiPLmZOY1gK1DJLnf661IMX9UGqnvOdn7Y/AUhE6F/fB7nb06hqkiDporU/fT4InhyUwmqirWM11gJ2892HpLJRfz+k9voH59HsUWB53dW4Dtb/v9bRD355JP413/9V7z++usZPz/60Y/w6quv4qWXXqIKqVOnTkGlUmUUUqdPn8bZs2fxu9/9Dj/60Y9w4cIFnDx5Etu2bct4z1dffRW/+MUv8M4771A/n3zyCQDcdVwi7+VjG4px+KthrK0148srqellVaEKaqWI0cGmd9OD4Thr1zofv8XncVkTcIlYAPkSAQO9mM+FVvj9J7coAoPvbC6FSS/Pu4giLdc5pls2lEBjuQFubxC3Budz6uO4PAHweFzIJEI45/xQK8QgJEJEY8mMWDszHwCXw8HUbBBSiYBi0qwoUFF+qL5Mj83NVrTVmLFrnQMD4wvYe6IHJo0UOpWUMW2rK9Hh2IVMumzSCEIMBSFGsVUFPzn92FmFN9MgUBub7BT8GUjFgfRYw+VwMD8fxu6lwkcm4aGuXE9NkKx6AmeuTeRkXaU/H5OzQXx3aznVDCQnFCtB4Om73ulGJuMTrgAsOjk1iaJTa//V042oKdZm6BClv2Y2Wno+j4uj3wzj3I1JSCU8Bu336mo97AYlJmb86ByaQ3OFEQ+3l2S8zv5T/ZiY8UEkEkCpEDOKSXL6lW6KpTPE53Ghkotzxhr6s+kLZBcH9gYi2HO0Bzf7XNAu7byRjW+TjsDEjA8ysQA3+mbx+MaSO/b9I855hpTB+nojFIQ4a8O+sdwAvVqMtXW2lPB3nZmSa6ETq+0/PZiJuDrYhVg8ic2rCvIaCnxbu19ILdm9LqROXBqG1SCHSMDD6uoUDj2bTbu88IdjjNH8/tP9KLGp8f4SbeyG5gIQMhE+PtmH1w90IhKL4XrvLF7eewNSERdKuQgKWUp1/O3POlFXqse0O4j19Ra89HANVWi5PAFMu0M4eWUMBo2EmnB9b0cpLne7GGPUbDoz4Wgcv9l9FW01Jrg8IYriEsifGjm9I04ukIYjqYXC6hI1vIE4bvTP4vTVCQxNejHhCmDnmkJq9P7gWgeqijSwmwhW3H1tsRpvHOyETS+GQMCHWi7G7HwYm5qs+K/PNFKfLT2Il1iVrAlALqMnIBKxAGMzXvSN+TAx44cvGMH1AQ8jAOdL7z3inAePy8HNgWVdjkgsgcYyHdobbBn0q3KZCB+d6ME3t50YmlqA3Zha0L49MIttqwvgnAukWOBoEIoqhwYtVSaG0CZp6RTdG5YCwFuHOvDmoeXuF9sEjnTypOWTgDWWG7C6SgeBcJlJ8MkHyrD78+XGQFOZDjKpEAVGOQ6eG8ZichGN5XpWmtp3P+vEbz/OnFSVF6hh0skYEKZsSRa9uJqenmdMyRrLDVhby6S2BVLTs0KTirVAZXvd5T8T3jG1+IhznmJOJIuvlioTFpNJDDt9DJbAfLD9B84OwKyVMa5nJJpAJJbApCuApgoDqhyae8aE+Z/Rnn32Wfz0pz9l/eFyuTh48CDa2tpgNBoBAHv27EFLS0sGtK+vrw9SqRSPP/44OBwOVCoV9uzZg+effz7jPauqqvDss8/ipZdeon527tz5rSZSIiEfbm8IFzqm0FqT0h1cU2tGtUMFcLiMDjYd8v3NbSfrTlE+fov07WwJOGlsxTwbWoHum9fWWbCuwcZ4v2wQbzZjO29sr5Nu3kBkqejh4sNjfYxEmSmL0YlLnTPUeVtfb8GR88O4OTCHAqMMNqMC0+4gfvRIBS50zODNg11YXEwiGktALuVja4sdQBJNFcuQKeecn0qk44kk9p7oQYFJifeW4M/tjTbKx9SmPwkAACAASURBVFQUqmA3yPMSJq8oVGPnmkIYdQSrj0q/p+lU3yIhH+PTPkjFAsgkPBSalDhwZpAS5a0v1aDInJJr+PFjVRAJeRmQs8++HmQgHdbWM9lOp6bn4QvHYNGzP/fZGkIkzPG9I11IJhN4aVcVHljNZKqjF+wiIT+D1p2M93QtTzZa+nA0jhOXxzA27YVKJoRevTxx2rjU0GyrNaOyUInqpeKf/jokbPQHD1Xhnc+6MeXyo7HCwDq1ymWqNKgj2xRGJhHiet80TNpMceD3jnSBxwUGxuchk4rw9mfLfiGbSO+dmoqWS6yq0EKjkqxI9a+Si3Hh9hTOd85g78l+WPVS2Gh5dW2JHu8f7cbaWjN6x9woNimoxgCHs4iJGf+KQ4F7YfcLqSW7l4WUeyGE//jjbajlInQMudFYps9g0yJt/+le3Br0MEatErEAakKIj44zF/Ei0QSV4NsMcpy5NgGrTgqhUEAl6W21ZoxM+TDh8uInj9dSjEvkYZBJhOgcckEkFKB72I2dq+347tZyKBUi/OHTTgxOeNHeaMnQn0nHZC8uLuLsjUn86JFqPNxewvhO2fYxyM4A6QAtOhmSi8uLqjweF//03hU80GzFQiCK4xfHMDLlxeZVNkZSR75+lUNLCR8Gw7GMAKKSiyGX8mAzKGA3iNBQosOONYVoqjBmBE16EM+VANCNnHSk62OMOOfh9kZx+KthvLSrCkIhPyMA69WyvOi9VYQY484F+EJRWHQE4skkGkr1eO1AB7yBSMZnm57z4/ZS0WXWylBTrMXYtA+EVITPvxlBbYk2A0KxudkKmUSYdQ8uHUIx4pzHgTODeHyDA+UFasRicbzBQp+efq3y1YU6c30Sfn8QGmVqilZsJqBd+u+NTVZ8d1sFSqxKaBUShCKpYru2VIOfP9WAttrlJOTUlRF8copd7BpYngLl06kGgPO3xvBN52wGfCK90UBqwPF5i9jcZMWGJssdwQvuZJ/prUMd2P15LzY2WVMT3aXia/+pflzrnUHXsAdt1QasqbVAKkkJLOYq1LyBCN74tANqQoxiqwJPbUktFEvEAgxNeFBfooOADzRX/u9Tkf/PYG63GxcuXMCWLVswPDyM3/3ud/jVr36VQTZhMpnw+uuv4/HHH4dQKMTevXvB4/Gwc+fOjNcUiURQKBSMn2Qy+a3i0hdfDyASS0LI50OjFOLHj9WhrdYMtVKU0cF+81Dq/7esslNw8PSu9UqyBOnJLZmAN1UYGAVPtmKezSdkY+9kg3jfDflJrgkt2fyx6qRYCEQyEmXSXJ4APv96hGLlHJr04qkHSjHjDkAqFuBa7ywebC3EszsqIJUIqGs/4QrgezvLMe4K4a3DXaguWobDk5A9cpf5xOURbGywZeggbWiyY22dEW011ryEyY9+M4wTl8cQDMVQYlOliIZYmmjplu7TzXoCxVYlKh1qvHmwCxKRAGMzPpTbVbjZP4e/ea4ZO9cU4vySDmU65fXBs0MYnfZR+0mbm1PQZ5lEiINn+3BzcB5vZIGg0Z8h13wIa2tTcZu8ZuRKw9UeFy52TjN8fy42WLIhaFALcfLyeFYtT9JI4fKWKiP2nR5EQ4kG21YXoLlCj29uTWKRk8TMbAClBey+nISN9o56UGZX43rfLNbVGfDM9rI7EmUGkNd9rHRoYdPLsHX1chFFxubxaR+e3lpBCTinT7YOnRvEy3tvZmWtpFs2hszGcgPWVelwtc+94rUFUvc5EI5h9+c9cM4F4QvGUGZT4ZuOaayqNKKuVE9pqj6+oRhDTg/MS8OBHz5cnZPM4l7a/UJqye5lISURC7CYTOL4pdSUZHjKx9r5HXd5EQzFWUetFr08Q1CTnuCTHZ8tLUydjtTOlQ0NZXpKjDXdHBYlXv4oRVBxrXcWTz1QCq1CSnUL6ss0+OnjtQz9mfQgI5Pw8MSmUhRZ2DWT2EQXX91/GxwAf/yyH09sLMS4K8g4TGSBdurqGEw6Kax6OUadPlQXq/HXzzRlHb3zeVxUOjTY2mLPCCBfXhnH2591QyUXo2t4ISdzEz2IZwtIZDFIBtgqh4qBb2+t1sM5G8acNwizjsD4tBeLWGQNwPnSexs0BPSEAA6bAhubbBSUI71oeftwB7qHPThzfZJi1nlonQMVhRq8/NENSER8NJTr0VJtYkxi6PjkbGNweudIRYiRTMQx7Ylgz9FeSCT8FTuhJH2vgM/FmjozJTwNMJ0uGSC/vDqJB9ss+M6WMjRXmmHWSrGxyYJNzQU4dG4Qv9l9FVa9DPtODSAQjkGrkODNQ53UczrinMfVnlkUmhSY8YSwscmKmmJ2trpcnWrSRpzzkIlEeHsFJiBSA06vEoOQivDagQ4AnDvqho0456FjgXOw/bs3D3bBNR+CxxfBf/9JK1przNRugMOsxPYWC4LRRbz9WRcCodiKxBMiIR8uTxBf3ZxEiU3JKEyrinTQqSRUEZVOB/znZHV1dTh8+DD+5V/+BYcPH8avfvUrVFZWAvj/2Hvv6LbOM933RxC9AyQAAuyk2KsoiWpUsSVbUiTbsVNGdka240zaHN85mZzJmcmsKWvWmbNycyeZOZmScUliWZbHXZYtyXIsyyqWLFtWpcQidoq9kyBBECRA3j/AvYWyQVKWU+66edfCWhIJArt8+3vb8z4P/OxnP6O1tZWSkhIMBgM6nY6//uu/5qWXXsLn8/F3f/d3aLWL31+4M7/UOzSBTCbjlWNNTHhnqG0dYU2xHZNeLVnBFuCg64qd6OahZlKd2lj7VqwE6fiFjjAfshBqIVYAJtX1ioR4L5X8JJQdb6GkLrT40947wdd3FZHt0LJ5VWrU7JhOE2TmLMq08NDmZZTl2shymclwGslLM3H/xmWkOY1B4qaIa19Z7OKfXrgYdgyDo5NhdPUmvZLeYS8f1/SIaBNhbqhvaALfTEDs+CyEnpia9nPmajcfVfdgMaopzLRGIQdCze3xSWpCht4Xn8+PPzBHc9cYa4qTOF/bJ0K/eocnJCFnwvVSK+Wcu9bLrqoscR20944yO8uCgtDCGhoY9VJZ6OBqQz+K+DheOtYwT0owTWVREsNuH9//ozJm4+aidAojz9PjneGpA9fQqOTcuyqd54/Wi1TdelUchhgdKZtZg8umZ3DEy+Gz7WjUCkpzbNS2DdHSNcGLv26IKXB89moHcnkchWkJ5GTo2LoynRUFLkx69WeCpC2FmU6nUYb5PKE4cqVxkPLcRLRqBTOBAHu251MyL5FxOyyFizFkDnumwhgXVxYkxoRoyuNltHaNodMG96PtazLCpH2qypy3iK+GJnEk6NFrZDy8NY+iZbaoGPo3ZXeUSAUCAX7+859TWVn5OR7S78Y+z0Rq/9FaLtb3saE8ma6B2APZRp0qZqsVpFW+hQB/VaGT3HQL1xr7SbToRM2p8rygc4tV7R8e82LQqaIcmdvj4/SVDh65N4++YQ9Omw6VUi758AgdGCEwW8xCySR6hib5zkMlZDhMPB9CLCCIDuemWVhX6qIsx066w8D2NemsKnTOB3jRG8vUtF9k4TPqlGHJXihueE2xc1HIYqRFOiQhGQwl8JjwTlMa4tgqi5z83TPniI+DHetT6RrwMjjiZfvaVLZIOOClsE7tPVzDs4fqmJuLE0X7IpMWAW/e3DXGXREdPHm8DLNeiV6r5MjZNmSyOVRKGaXZicTLEdmWpMTypGx4zIs/MCd22Tr7PHz7gUJ2VmUtWAlt73HzUXWPKDwtnlvIphsaZOWmJ1BZ5BTfA3HkZ1j58b4LeKZm0GuUJCVo0WsUYZXgHesySDRpqW8fIl4WR4JJg8WkoiLPsei1lrKO/jHSHGbq2gcwhGiqSVX+BCjkxuWuBQMBKRMw6kvVvggNyDaGiI+a9WqGx7xUNw+ya12WJA1sLCcYibWP7OIJz0QkHfDvm3V3d/Pxxx8jk8mwWMKrp4cPHyY3N/eOPl+hULBjxw4effRR9uzZQ1ZWlvi7NWvWUFJSIv4/Pz+fRx55hEceeYRdu3YtOYmCO/NLeq2Sa419mAxq6tqG2VmVTnayRWTsyo+YYSzPtZNgUlLfPkJT5whP7Cpkx7osyc+OZJ8Thr0j/UqsACw3zcLakiQq8m89k4sFYKHfFR8vQ6OSMzDq5ct3LyPDZVoSHDaSHW+hpE4IMIfGpqgqc7L/3XpSncaY81mlOTbO1/ZxvraX9aV2jn3aweUbg/zi7Vp804EwaHFo90DqGPRaJfL4Oe5fn8VLxxqwm1UE5uZQKRXc7B3jG/cVsW1tJqcvt3O+NkgWMRPw40zQoVErYrK3TU7NiKiW/hEv29aki893JPLkpffqae4cYcrnp7XHTXpS9PoT7tnKgkQe2ZbHhuWp7FiXQVayad7vqJmaniHDZWJtiYNVhS7xuyryHWQlG6NmLc16NZcb+qK0ICPJn3LTLKwtTuKpA9d4bEcBL71/g4p8ByPjPu5ekcontb3s2ZHD1eaRsD018toIDKcy2Rwum4F1xQ7OVHdRWeQQqbpn56KLYcfPt3O2uoen37yGK1ErUsYLBXEBlSIVc+w/WodFr0KnVfL2hy3452DfkQaEottSfLFUISt0Hvh2JF6E4kiGK9ih7Bv08PqJZhGqv9SRjaUwZIYyLt5TmcrYxMyC3eQUu4GCDCuri+ysLnaFHcfyPIcYD1WVuXj0C0Wk2I0kJQb1LqVi6N+E3VEi5ff7eeKJJ3jyySc/x0P63djnlUgJJAzx8TJWFyfx6I4CyhZwCvkZCbjMKrauSYs50B5pGrWCU5c66B30sO/oDRTxQSaXg6dbxFkQobIX+jCFzrFEssGolHJau9y0do8RFxfPrw7VSXL2L0WhPFIPI5RMYuPyZIqXWXn7w2byMxJYnmtlz7YC0kM6W6Hq7Bq1gr6hCV7/IFq47fCZFl45diNmNTI00MxOMeIKwWPf7oMVmQwKBB4VeQ4e3VkoMlzJ42Xo1HI8vgAWvYZXjjVS3TTEuWt9PBhDdyHSQjdDqeu9cXlqWLdsatqPYX4+rj1GB0+vkYvHv6bYyYETLZy52s3N3gmqypxMTs1IMr1JmUat4MqNXhIt4Y5usUpoZEAlVF0jN93Qjknkxryx3Ik/MIdCLqOmZZimzlFciTruWplKW8QmX5Jtw2JQUFnk/MxJVGjCcN+GZbhMSjZUxGYhPHymhe6BcSqLHECcJOOUcH9D7/P+o3WYdEr2LYEyPtRiwTnKc+2k27RM+vzBZ2gJ7Il7D9fw2vGmMJV7qW6pFB3wYlj336adPn2aRx99lPr6ep5++mn6+vrYsGEDMllwX9i9ezff/va3f8dHuTS7U7/kshvEbnRumonqpmH2vVPP8FhQlyjRrBWDl6lpP9PTAV44Wh+U02gaktzfI+chQ2cfv7wlN8yvxArAIpOmpQRgEAzuP6ru4ZmD11mZb8dsUPHK+42kJRn4wZ6VCyZRoVpRocWNyP0mtCNWmmOjqjSYRC3PtXHgRDMe77TkjGfngJsTFztYVWBnbCJAZ79H9E1S0OLQZzspQcsXN90a4Hd7fPQPTdAxMEFOqoXuoUkGRibZssLF8rwENBolUz4/KrmCfe/UES+Lw5moZ3zCw5mr0VA6wWJBMyORJ26Pj0v1/czOxfH6B00Y9SoKMqxhgXlo0WVgdIqqcidGnTpKXuR68xDuiSBUPxKGKQWzB8hLTyDJpGRLZRoblqfGZMHVqBV4vDPcuDmM3arDM+nj6zuLeO5ILasLkyjKSBQLSdtXuzh1uYfnDtXh8U6Tm24RKb6zU0ycu9aHxzuNzaohLi6e9CRDWHIk+ERBNPjSjX5xNjswOxtWUN1ckca15v6wGTAh5hA6nR6vD41KxvJcB68eb8QfmMWZqAtqkIbsr1K+WKqQJTyHU9N+2nvctw11Fdbm8JiXp96MnhGPRDIMj3kZdE+GJXO3w5C5piCRzBQz//pKsOs75vGxIs8mGXfI42Wij4k8jkj0kG8mEPac/aaJJmAJidQPf/hDjh8/HvPV0NDwh0Rq3gQShu1rU7Eatbx5spnpmcCiFVu9Th3lNBail52a9tPZN86bp5tZXezEmajl1x/fZNg9hVEnp7lzjOdDnKVCLiPRpBYrUQp5HDlpJhKM4ZXRFLsem1nDC+/ewB+YJdluYGNZEl8NGS406lRMTc+Q4jCwqTyJ5EQ9Q26vWOGJJaAXWhkw64NMfJlJGobcfp5bQLR17+EaxjzRlZ34eBk/3ndBkoUv1IRAc21Jyh1VJ0KTwUgCj+B1ubWZnLvWw+nLXeSnmbBbtSJj4mIQPogmZIilCC8kLcc/bae9x83o+BQ71mWJ3cqFmBGFpDIubo6v7ywkJ80a9vudVeksS7YsmBg5EnTkpprZuNy5JJ2ZWFXXhejFAS7W92Ey3OoCZSQbOXGxg22VaSiVcvqGJtmyKo37NmSzY10GBp08bGM36dWSz9FitPPCgHlkwuBymGMmN0KyWNs6wsfX+/jh46tYX5oUlkTtP1rH3iO1DIxM8vM3giQYGS4jJy/dpCjLQJzs9rUvpI5natoPc7M0do3itGnZuTYLpRLSkkxh7xOgO10Dbp47VEfv0CSeqRn+5uurYt7XWHTAvy/2ve99j7//+7/nhz/8IV/5yld47bXXePfdd9m2bRvx8fE89dRTfOc73/ldH+aS7E79kvDc5aVbMGqVHDzVgkmvoq4tWpfo9OWbTAfmMGiVIoNcYYY1LBARiJDurUznUkM/JdkJPP1muKZcZOASGfiEFqWE/dxh1S8agLk9Pg592CJ2ny0mNafn2ToFIqKFnulYen/CdYrVEdOoFViNSg7MB9U9g9GdWgj6RpsxyKb20rEGliUbSbEbJElwQk3Y84Wu1f6jdQQCARIsOn75Vi1DY17y0i2Y9UqmfAGutwafVYNWjn82OGOcn2Hh/fMdfPmuXJ47UncrKE9QRxU5aloHsRrV6DRySrJtkkUunUaJWh0vkvwE/V6S2FXff7SW681D5KZZ8EzNsKrAwS/friVeFid24lu73WxansyRs63iPbsdGKZBr8agU8VkfxSsNMdGbrqF1cVOaluHeelYA+tLndS2DZGTbEatDu6pD23K4bkjdXimZrBbtDxz8DpWg4plqSY0qiAZVU6amSNn2ukbnqQgPaipFpoICQmnXqPAqFViMQV//8i9eRz79CaP3JvN8jwb7396E5fNQFGGmfs2ZIXFHEIye6a6h8oiB1l2HfGKeFLsBj6q7sGkV+JM0EUlYIJJFbLi4uJEGKpBpxQZEz+Lzt9CM+LC57x3rplP6wckUQlLnTt+42Qz+96pZ+PyZGYCAcqW2Xjm4PUFmZIFvx15PsJ6WCoT8udtiyZSf/7nf05paSkJCQno9fqwl06n49KlS39IpOZNmPGxmjS8GdHmXcochmALLYa+/jFOXe5meMxLolnL2LgXrUaBy6Zn0ufn4a25vHSsIcpZ7qrKxOvzU5hhxmrSRj0Azx8JVupOXupgVaGDDKcRj3eG/e82RA0XXm0YoLN/nEyXkQs3bg3f260ayYqfYKEONtmmQ69ViQPOkRX40EBWigDj2CftqJTxkix8kRYaaC61OtHZNwohwoIwT7oQQl2qUsqjYAJCtclmVqNSKThf28dX787hwbtyor4j0m4JMCpZXeTAagomAbE0Xc5d76ZrYILBMR+vHm/E451mdXFsaJ2QSAoivV39E7xyvFFcB8Lv23vcNHWOUdc2GCaoLJiwPmdn55ZE0iCY1GzOQpvu1LSf//XL84yMT/Hw1hx2rM/EatTQ1u3m9RPNrC6ys2dHgciYt/9oHb96uzaonm7WxLzX4vHPzZJk1UYljKED5gkmzZITBqlkccY/K36+cH/z0qx8UtMrBp9fWJfBzd4Jnj/SwF0rnDy0edkda1/I42UMjk4hl8v4+RvXOXi6mbrW0bAOQ2h1vyTLhnZe92t96eLkGLHogH8f7J/+6Z/40Y9+BIBWq2XXrl2cPHmS1157jW3btvHLX/7y/zeJFMwzVCZoqWsbIilBj29mhnWlLjr7J8R1Ojzm5T/euIbVqMRqULJlRZBBrjw3PPjXqBV09U9w9Fw7qwqTqCpPYWJymp6hhYtFoYGPULQR4Ogly4Ispmk2DfesSY+5p/jmqbGtRjWj4z42lLlwJurCuiuRYqiRlpVsYmO5M4pO+2pDHycudvDEziLy0i3M+P1hPjvVYWQm4CfZZqA8NzFmh9tu1XH5Ri8mvZrztX2sL3XyjQeKY16XSBKeqjInTx24RnuPmySLGqtJS23rMOlJBu5akYpMJhMpttt7Jth9Vza56RZSbDogDt+0j2SHQQzKU+164uW3Zly7B8d5+sB1rjUP0TXgYXWRHYtRg1oZT2B2NsiEO695Wd3QK5L8hCaefUMTXKjr59O6fvLSTDy8LVfsTHUPenhgUzZtPW6+9WAxZq2c8akZTHoVo+M+kWn3dlhJl0L+pFLKxa7mwKgXnSaevDQrr59s5qENmWxfl05GcpBFVSGXiYldU+cYX99VyDNvBqUdTDolRVkJNHaMYjWpeXxXERX5iWyuSAtLONMcOlYWBUl8tqxMJTvVglYVR3O3B7VSTtfAJK8fbyJOJmNZijEq/hOgdDmpVvR6tUjzH7yv4/yPr1WwZaU0cmZqKjiTFuqXhORsfHKa1UX2sHGRlQW3Rwx0+EwL56738M0HiiShvcNjXmYhjOo9EpUQeb6RcZKAtBHme/9yT4U4NxWaLA+PeRnz+EQWxoWSpNshtPq8bdFE6vjx43zpS1/ikUceYc2aNWGviooK/vM///MPiVSI5aZZcFi1MWmVF1OeXmgxXGvo42rLCG+eaqa6eYgUm54HNmXx7MFamrvGeOSeXI6ca6Mi30Fz15jI5PWtB4v55HoPDrOKnFQrLx1rIF4WR16GBZtZxfTMLE8duEZLl5v8jAS0Khn17aNRcyfyeJkIXfzK3Tk4EvTsD4Ei3bPCRWBOGs4UagL+Nz/DLDlz8saJBq40DHLsk3ZW5DuiCDCmpv38389foKlzlJwUM4/uLES9xAfG7fExMj4VU9W7b2iCQ2eaqW8f46kD18IeWoGNLZQuOBJCIWxoVWVOXv+gid6hSRo7x5Y0I+ObCaCUg8Wo4eCpFqZ8fvFzQzteQhehvm2YnqHJEPiIdKU01ITkQqoqrNMo8U0HuNY8zPvnO3DZDKQ7DFGzELHWp9vjo3d4YsH1HVlJGh7zYrPoJN/rD8yiUcm5dGOAnDRLGNTPpFdi0qtFYb4Ec5B1UqOSY5uvNkp1OTsH3Dx7sIZ4WRxJCboogczQ82vsGON/fK2C9aWOJScMC4mRCmvjWssgD27K5L6qLLKTjRj1SrHCeKN9jC2rUj4XqJzFqObyjV5JopPI6n518yA/fHxVlO7XQhZ5jEsRl/5t2CuvvMK9996LwWAAQCaTsW3bNs6fP8/evXsZGBjgu9/97u/4KJdmn4dfOvpRK68db6AwM4H1pU76R6Y4eamL+6oyeWDTMgCGxjxMz8zyUXUvKwoc82xu0QFY6L6xfbWLT+v7iYsDq1FNZpIOpSpeMpGJnG8J6jJ56eofZ8IzxbmaPn5xqI5AYC5mNVqllNPQMcLMzCzry13sWJcZRnyx93ANLxy9wWxglvwMq/idwroUhVjjZGGBWO/QBOdrelhZYKf+5hjPv1OHX+I4Lt8Y4PTlLjKSjGF/Hzq7OzXt59XjDexYncKGslQKshIWLN5FQu3WlriCe0TzEAUZVjaVOdlYkcyG5anotUqu3OglwXwruamqSEOvVWHUqynPtaNQxFO6zM5TB66Rk2JklnCK+1hduRvtI6IOXW6ahfc/aePN060UZZnZXJ5MfDzkpAWZh+VymbgGugcnuX9DNl6fn/4RL+vLXOxcn8kXN2VT3djPtZYRPr7ey6byZP70K2Ui0+5SWUlD18tibIQCwmEmEGDLilQOnm5hYNTL5cZBHrorh9eON5JiU3F3RRo2q1ZM5iryHaLeVGFmAo/vKgoWTJeHi9yuLEhCIZeRkaSHOBm/OhQk8FlbOn9McfDcoToKMyy8dbpV9K3b1qSH+V3h36FzhlKSE1LrRuiariuxs/ueHCqLXaJPLc2xUVlop3fIy7HzHRj1Spq73KwtduCbDiwq4SJAFn+87wJdAx6qm4Yku1katYKrEetwIf8YGSftP1rHu+faWDE/z7ZzXQarJXQx3zrVwJXGIX4RwsK4UJJ04GQjLpt+0Q7wb8IWTaT8fj86nS5smFawuLg4ZDLZH8gmQmxq2o96vosQWWmPpTwdisuOhWHu6B9DIYvnV4drKc5OZHiecnNtSTJjEz4mvNOYjSr0GhUtXaM8vrOA7Wsz2bEuA6VCxrMHa7h3dTqvnWhkw3IXzsSg9lJgdo61JcFF3NgxSlmONah/MHmrihQ6OCzoR11tGsBqUGIx3qrYb6hII81hYH1pkmQwNjzmZcI7LW7CNS0jPPmV0jD1abfHx432Ed4/30FbzzhKRRz/c08Fa4pTxI1FqPw3doxy7+r0JW/Ihz5s4mL9QExV772Ha7CY1NS3j0Zh20fGp8Iw/BX5iTEF8EpzbBj1KqZ8/kWTylCdihG3F7VKzgcXOri3Mp3LDf2UZFvDqjtCMOAPzGLWqwjMzi64ecQaOA2F8oXCB7w+P6990MDmimRmZ+fISwuH+Emtz+ExL9eaBzhb3cPQqAe1Qo7FuHgiEAv3Drcw+6XLEsO6jYKz3L42jZdDKOW3r0nDH5hjeZ6NI2fbyEjSs6UyFVncreRx7+EajpxtZVVhEpVFDg6facMzNYMiXkbZskQ0aoXk+d0ug9JCYqSlOTY2lLu4UDfAy8caSTRr2bQ8VbwXD27OJD3JFJXoS7GZxWI4C7WcNCsui5rNK8PpmoMVXA/pSQY2Lk9mVYGDnFTLklifpOx3BamQsoaGBjo6OsL8UlxcHFu3bqW6upprOetnvwAAIABJREFU1679f6b4d6d+aWraz7FPbtLRP0Gqw4AjQcsv5qv27b3jrCtx8PoHTfzyUB2FWRb+5L5i8tNjB/++6YAomvrQphw6BiZ499xNmJtDrlBEIR36hiZ440QjTx24xuTUtMja5/b4OHWpg+KsRJx2QxiETCAekrKirERy08wUh3TKVUo5De3DvPx+IwUZVqqbB+gd9LD/1/UihNaoU/DmyWbJQEyvDRaQbGYd+2JQPwsFlsIMM3evTEWpiBelL0KLNoJvutI0zNtnWrDolKRJkDSE3h+bRcWDm3PEvVtIDouzbeh1KvFaDI95KVlmJ8WmY+NyZ1TwKsQXc3OzZLpM3LUqVfK6RorcRkL7Vhc7eOatGu7fkMVrx5t573wHLV3j4jWL7LyX5dpp6hzBoleJpD69wxMiI3Hv0CQNHaNsKHeKvux2oGaCCX5oob24PNdOUZaZX7xdK+pcbq1MJT/dyr+/dpUTl7r5pLaP736pNGwmLSvZJHaAhIJpboopjGp+XZEdm1VNhssk6fuFmezO/gny0q0iPHZFgUOEjj5z8DozAT8X6vpE35eVbOJnL18RWQ+/ujVXsiAVOkd4s8+DTqPgJ/svhc1BBeVtBrFZtLR0ufny5mwuNw6E+Vmp6yf4W6tBRXaqmbaecMIYebwsrNubnWol3WFgQ3nSgkmUlFDwL9+upa1nHJ0mnqoyFwdPtaCQy/jq1jwxWR4e8zI2MS0yWofOpUvFOe29ozx7sJbO/gm2rUlj03Inxt/i3O6iiVRpaSlZWVm88847UWKDMpmMjz/+mNWrV9/xgXi9Xn7wgx/w05/+lP/6r/8iOTmZzMzMqPe9//77/MVf/AUvvPACL774Ij6fT1STP3DgAHv27OHIkSO8/PLLnDlzhp07dy7p+z+PROrwmRb+5aXLGLRyMl0m9FqVuGhjKU9L4bKl6GVNOjUdvWPEy+O5fGOA+6oyeWgeLlaea6cgwyx2pgozEqgqS2ZozINcHo/NrGNswse15gFS7UZMehXvzM8ciQK2JS42LU+mIj9YCSnJTqQg0xq22YTpR30hj94RL6WZFu5elcbdq9I4/kkL5+sGwoRaBROCZpNOzrJUE2uKnazMT8Rq0pDquDW3oVLKuXFzmDVFdr50Vw42k4qy3FsUzILdblXL7fExPDYVU9Vb2KT6hzy4bLqo5CRynmdzRZr4//s3ZrAsxRK2OQmQvIVU2UP1hs5dCwpgluUmEIcsDDoTeg5Ct6RrwMM3HiimODuRTKeB+zZkLarpEmlSM2MatYIRt5fJqQAnL3UxOzsXFRiHrs/nj9RwuWGA8mU2pn3TzMxCYG6Ojj63ZAAhVImlEo2RiSkMWlWYY2/uGuO+DVn4A7Oi8y3PtfNJTbcIX9i+No3CrERWFzsxqOKwWzXEy+W89OsGZvyzYcPs+RkJuD1TaNRy0pOMOCxa6tpGwhgfI58/KQalxTrLC8FRBsYmJQlE1hYkcr11NGo/kNojlspwBqDXqaIIAwBKshO53DDAkbNtWIzqz8y+97uEVEjZhg0bKC8v59ixY1E+66677qKrq4utW7f+jo7u9uxO/ZI/MMt/vXeD5bk23j3XjsWgwBHChpaapOe5ebr+tcVO9CqZJM0zwKmLbXxc00992xCPfaGAomU2atsGSbYZuHtlCq8ca7yFdDAoeP1EM50DExz7pCNsLkUhl1GyzIbNpOb5d+opzDCh06hEqN/yEI0yKfptKSr0I2dbWFlg54MLnawtdnLiYmcYhLZ70LNgIOayGbje0o9Jrw5DSAjPuUopx2JQMBOA/UfrmfL5SbbpJLv6MhkcPNVM6TIbb5xoRq0Ao0bO0Lg3bM+4XNfH+xc6+NWhOmSyOZFxT+ocQ4tO60qToxLN0Piia8DDE/flY7fowop5oQGvFJW4kBityE9iYGSST2t7qSxKYtofYM+OfHJSb2lh5qZZWFloY1VB0DcXZSWSn2ERIY9GnYob7YPh3bN5xlmpvWGpDHNLYbMz6dQMjk5ysb6fr27J4cHNOZIFMuH7hCLQ3BwkWtTieMKoZyrIYDc8yZ7tOVxqGOJXh+pYlmokwahBpYhnfbmTkmybeE7luXaciRrmZiEn1YzdoiEn1RJGGlVZkMQ7H7Vj0ivZVJGMXi0nLi6Oth43hZkJMTspoTHI/RuyxFgmcg4qPyOB7GQTCrmMiakZjn0SJMQAaYFawd9mJOmJV8Tz/vkOvrgpm/s2ZPPW6WbePt1Ec+dYmFYmBH3cooK6EjILgl+8K0SvTjgHYV1q1AquNvbhmPfxUnPpkd/j8U5j0qv48Eo3CSbtkkk2Pg9bMmvfd77zHTIyMsjIyBB/9tOf/pRTp06xe/fuOz6Qp59+munpafbu3UtVVRVPPvkku3fvjhI4HB8fZ/fu3XzrW9/i/vvv52//9m8pLCzE5XJRVxcc0ty3bx8PP/zwkpMo+Hwqf//x+lXKchI5fKYNo07B6ctd4qINDbyFBXX1Rp+oexAZ2EttNo4EPS6TknXlLtaU3Ap+9x6u4a3TLexcn85dK1JItmm5UN8fBk97dGch6Ul6Ni5PRa+SMUdcVJAX2fqVGurLTbOwZVUqfSNefnmojrfPtnG+to+VhYkolArJClho0JybZmZyapa6tiGIi5cU3CvMTODU5W5eOFqPxahZUAwPFg9qhXO51jyAy6YXVbHXld5KUoRN6uKNAdYW21lT7AirEsItMbn0FBMmXTDwrCxIpK5tLObmHgvOJ+gNDbun2L4mndc+aEKjkrMiL8jgI8XYI9X+FwQMF9JZWWjgNLIyNTzm5UJ9/4JsU92D4ySateJ9be9xU56XQGqSkdbucXqHvBg0ccTNyTCHdKZCgwGhC9o7NMlX7s5iYMSDXCGnuqGX3PQE0bHvvieX5s6xsISwvXeU/3zjOiPjU+zZnsew28d/vB4kblhfnopKFR82jLu6IBGVUkFc3BxqZTzrS5N5/kg9zEFta/TQvbBeQBoC+drxxrDOcqwgIBYc5cyVDkm43YTPH8VcNuGdWdLPFpvBHB7zMhOYDbuPwrmtyEtky8o0ArOzn4nhaDGR1t+2xcfHo1AoJH3WP//zP3Px4sXPxWf9NuxO/dLQ6CQmnYpj5zsw6VVcax7me7uXs7nCRVV5Cma9Gnn8HHqtitc/aCIgQfMMwfUTL4vnhaP13Oyb4HrLMBV5iawvTcFmUmKz6JDLEZEOJTmJvPReA61dbjZVpKAMmUtRKuLIdRlQy+OYnJ4lLclE481hslPMHDzdwsTkNGU5trAZvljFoN6hCdyTU7R0jeP3z2I2qKm/OcyaYic1rUMiA+Wm5Sns2VG4oG5futNMik0nIiQiESRxMsRkZWTcx6aypDAou1CQMupUGNRy3jjRTHKilsrCJM5c64vaM3zTgTDGvUiYcWffKP7AHF6ff0GyhcNnWqhuGCA7xRw1N5M/Txu9GDRZigmtJNtKVVkKfUMeXv+gOezYpFjjIn2Q1ajhxV/Xk5tq5mafm94hD//xWnVU13qxgp9gseDooSYU6spz7awtTqI4+9b3SBWoI4tAX9yULSaf5bl2Ht9VFJwjM6lFf93cOU5RppXrrcM4LFp+/nr4OZn0ajJdJtKcRnJSLTx/pIb3Pg6OKfQNT/KFNekkJWpItuvpGfTyi7dqyEs3RTHtSpmAdFpZ6Iyaxw2Ng+aAf9p/UXz++oYn+fquQl55Pzq2kMfLSDSrcdn0vDUPhxwc86JSxPHKsUYeuScvTNhWiskTYifDocyyU9N+njtcS9myRObm5qgocESx7QqWn5FAusPA3SuTxYLyQgW63HSLuD5C/fnt0MB/VltyIlVVVcX3v/99iouLcblc/OhHP+Ljjz9m7969qNV33kL7h3/4B773ve/hcDgwm82cP38ejUYTVVFMSkpCrw9yxKtUKj766CMcDgf5+fnU1dXR1tbGjh07Fvwut9vNwMAAbrdbfPX29nLgwIE7YkeCOZE9rzzXFsU0t74sWVxQnQNu9r1TR8X8w7UQVWSo6fXqMPiNsLnoNQrRGW5fnUFN20hUMGyz6BgY8ZCUaFwS5jiW9Y94OPbJTXLmGXse2ZZHqt1IU/sQFlM0blajVuCbmSHFbmB1gYMXf93AV+7OCaMWDZ0hiuzerciXFmy7Xd2dvHQr3QMTzATmSLUbyE65Rbk+POZlbamLtSUOSnOSMEqwvf36XDOXmkbCHIhvJrBk2vBQC9VSyHDqcVh1IttP6JoIpUwV2v9VZS6+uCkbjVoRc5MQqoxdAx72fCGfnNRoByXV4teoFTR3jeBKjIYL9g24ef1EkwiNXFvqEinXbRYNdrOemtZhcpJ1tPdPsffILZpZ94QvKhiY9M7gTNRSWZTIlcZRXnz3BlaTFpdFTUVBEjvWZZDpMkUlhImmoHh0ffsIRZlWUaBPWOd2iy6MgfDGzWBB4e6VKZy+EpxxMOpV1LQOi3OEoRu52+NjyO3FoFVFQSBTHLqwYMrvD/CTF2/BKyKvaWRxontwnJ+9Us3MjJ+v7yxgRW4i+vl1LyTzNouKb95fTLrLLMlsuFSKWeFc3jwVpOCPnPnTaZQkmBR4fLPse6dO7N4tZLEqyksVl/5t2m/aZ/027E4TKb1WyaWGXpISdNS1DbOpIpnVRc6wxNugU/LLt2pEprdUm1Zck4Jp1AquN/dhMmjCioEARn2Qqc45P3M47J5iyO1lRb6Dlm43RdkWHrk3H6NOiVIRx5oiBxcahnj2UB3rSuxkJ+mZJe7WczwU3Ec/revjQl1/zGKQ0JXNchkw6JQcONlCU+coualmnDYtyYl6zAYl3/1SmbgupcRlQ+e3dBolZoNaEkGS7jSLosV3r0ymtn2M3qEJvvXFYrZWZty6Zx4fOWlW3B4fd61IwWrQRGm5JZq1tHe7UavlIuNe6N546GxwTvfpN6+hkAe1dKS620LB7ErjILmpJv7kgSLxvggJSijF/UIWeV30WmnGvKFxr8jQl5dhIcGgwCARWGvUCgZHJ/mkpo+HNmdLzriEFvwGRr2sLU5Co1ZIwpZjwdGFPTcSKh669wqfF7l3SRWBIpEkhnl4ZVg36HQLRZlWzl3rjTonYQ0ISKT97zaQ5jDS1jPGf/tyMbU3R8hNtTDumeHoufZgF7Hfw72VaeIxd/eN4vH5JaHbwrMb1GJzUJGfFJX0C/7/essQG8tdPL6rkOxUizhDtmd7PvmZt+CxCnkcz75VI8Ihd9+Tgz8wh0oRT137UBi1u1D4C5W5EdZaik2Pf9YfVdgWYlZ5vAxFfByTviDiJX0R2QKNWrFkojYpsqelJul3aktOpKxWK6tWreK///f/TnV1NU1NTTz33HN3LF4r2E9+8hOefPJJNBoNABcvXkQul4uwPSlrbm7m5z//OT/4wQ/Q6/XU1dXx6quvcujQIQ4fPkxCQkJYNVKwZ555hieffJJ9+/aJrwMHDgDcUUfq0IfNFGQm0D/iJdNlINlmiHrohQXlnZph2O2jeRHhw8VM2FxCBUD9gQCJ82rbocHwO2ebmJ2Fyzd6yUmzLjp8GMsMWhU32ofRqeNJdRjoH/byzMHrpLtMbF+TQVVZNG72SsMgrd2jKBQynIl6Ljf0i23zyBmi0HbwPZWpjHmiBds+i+7O1LSfq439aFRyvNMzLEsN4vVDN+CqshTJ5GRgxANxcVFMNc5EYxRtuNfnj6r+S1l5rp0V+YlUFiVTnmvHpIlndi6OKw39bF2VypXGATaUJyOPl9E/MoE/AH3DXvIzzFxpHKS+bZifvXwl5iYR/NkcL/26Ieo9C0EkirNtZCQZ2FWVKQYgJy+2EYcsDDO+usjOhvJUKvISWVeagtWkoalzhNIsezCJCoHzOCwaEsxqMRhYnmfnfz/3KVebBtlUnsYLIfdxY0UQuiKPl8XUoRFY47JTLPj9s1HdEOH3+WkJIl3zjZvDJNuC2iCRApLC575ztplP6/rDOqWR1P2RDnXYPYXXNyMJmwg1t8cXZNqc8FHdPIRRr6SiIClsrZXn2mm8Ocq+o/Vh3x85b7kUitlXj9/APeHjZl+0no2otRFHzFm/SFtsDur3gWgi1H7TPuu3YXeaSLk9Pt461cKVhkExGI5MSIJw2hmR6S0ugoxBMI0ynhyngQ0VyZIzsKFw1pUFDh7fVcTaEgeri27p0GS4DKiVCpGkqKnTzYaKFCryk8LY/9aWuGi4OYLFoJaUtgidF6lvG+Vr2/KYm4P+ES8PbMzkv37dyPnaPlq7x/nCugxUSrlkUBVrTlMKkjQ85uVifS9/vD2PurZR6tuHWZZiYf/RG2GaWs8cvA5zc/zRPXnEBfz0zydqkQmo06anIMNKokkJIQgRl01LR9+EmFx19Hn4s6+Ws31NelThc3Jqhv7hSUbHfdgsWtaWuMQE5dm3rrG22Mm56z1srkiha8C9KHJDMGF2VwqibNSpguK/893HWQi7dqGJqVCwLcq2SXathf19YNRLZaGDI2dbuNk7HhO2HAlH33u4hrc/bCYrSc/ed4JrypmgwWnThkmyLASDDi0CDYx4GHJPkmI3Rb1P8NeCKGzPkEeM9zYuT2Z5XjCB2X+0jqsN/VQ3DfLW6RbuWZXGyUud3OyboCzHxqvvN+HxTqPTKsQYMTRBPniqgeutozFnuQUTzqs0K4HnJWb7hC5j7nys1947ykfV3eSkWHjjRDPukM82aFUMjExy8UY/X707h62rM7jeMohMFkcccaTYtSKTZ06aNUzmJj/Dyo/3XaAww4zHF4gqbEcKB9ssGjE5X4pswVJMSKZDO6tLReV8HrZgInXu3Dk6OzvFl8/nw2w289577/H973+fkZEROjs7SU1dXEfmwQcf5F/+5V/4xS9+EfV64okneOaZZ3jsscfEROrkyZOYzeaYiVR/fz9/8id/wl/91V9RXl4OgMPh4Jvf/CZ79uyhoKCA733ve2zevBmr1Rr2twUFBezevZvHHntMfG3btu2OO1LDY14+uNCJUa+kvm2U/7lnJZsrkqMoLIUHYHWRjZ1VmeSlR1NM344FGcHimfHPBvUPMhLYs6MQu1kpwtMGRjxcbhjilWON2Cw6Umy6RTsnC7FwBTWO5FxpHBKDtJu9E+yqysRu1Ye9t3dogqffvM4XN2Tx6vHm4BDm8hQ2Vbi4e6U0EYPQDq4sckY9DIKInntiig3lTravSSfDqaeyaGF9qMmpGaqbhnj/fAcpdgN5aRY83ltK78NuH2p5HJcbB+gb8pCVfKtjpdNEMyYJyWIobXhjxyjXmqOr/7FMwBi7PT4SzDryM6x4vDMcPNXCjnWZYvBg0qu50T5EXpqF8cmgjtjF+oEFN4mpaT//zwsXo95zobZHssUfagLxAgSZ7tQKBa9+0EBZrp0sl4Fv7ComzWkKVsJCZuJKsm34ZmZE0VwBztPQMcpfPbaKLStTWVsSZBpSK+MxaJX0D3vIdJliMgCFbo6hMxNvf9jCf7xWTUGmhT/7anlUN0QIBAS65q9uzREJKlq7x9mxNkOENgj3YGJyWixIhHZKQ6+PsDbXlNxSWf/WQyVhSXbkNQ1NQh7dWciaIjsj49NRgV2kRsi6gkTcUzM4Ew1Ra2ehSp3b4+PyjQE+vNrFshSTWFTZWZVBbcuweCwbQ4guFtKu+n2bg4pln6fP+n2wO02kVEo5Xf3jMRMSCFaTA4FZMXCXur8HTzVwrWWEZw/VotXIw+Z5Qk0InDNdRvRaZdQaNenUVDf2hZEUCWuuLCSgFXzG6LiPh+7KZlWBLeyzQruy91SmMuye5qNr3Wwod3HkbBtVZS56QyjZpYIqqS55JLNgqNi1Rq2grm2YV95vojDTQmWRU5Q56R2aZG1JEs8drgsK18rmuHRjgGcP1ZHh1LOp1CmZgMrjZSLjnoAQMevV4uxZaJAtdb1VSjkt3WPM+GdJdxpFqmt5vIzeQQ8nLnbyrQeKOH6hc8nIjUh22vJcOysj5DdCu4/CtfP6goyFkYmpcNyxuta5aRbWFifx1IFrfGVLDgdOLiwdE8qA9/aHzWxbnUpzj5tkm4EslyEoqzJ//EkJ2iXBoOeAkxfauFA/uOB1ChWFXVngYNQ9hUYlJ9NlJC/dKu6Tj+0o4Pmj9XQNePDN+NmyKo2bveNU5AVFpC0mNe+cbaejb5xtq9P4wrpMMdmZ8gViznILFgpznGNWJLcIfZ6mpv0MjHow6YJkSS6bERmISKDe4VtrvntwnA3lKSzPTaB8fs4tPyOBTJeRdKeef3v1Gkc/bqezf5KyHGtY8a2qNAmLUcO6UlcYi/O6gkReP9ksCQH9PKHgUoQvEFsM/DdhCyZSjz32GB988EHYq76+nvj4eD788EM++OADTpw4wWOPPbboF+3evZtvfvObki+ZTMahQ4dYvXo1DkfwJr700kusXLkyCtoHMDQ0xOOPP84TTzzBAw88IP5co9Eglwc3f5vNxpUrV9BqtRQUFIT9vUqlwmg0hr1mZ2fvyGHVtg7w0rFGynISmZic5rsPFhIXJ8MhkVQID3ZL1zjb1qTdlsZULNNplFEt6VB42sjElBigjYz7WF+WtOCg4FJYuIx6Na09Y1FzO6H2/JEaXnqvgfWlLi419LMi3xGEfeTZKciyLUgJbjaoJR+GU5c6sRjVDI550aqVdPZ7KFtmw26VptEWzOOdETf/vuFJ7q1Mw2rSiBW33Vtz6Bqa5P3zHVhM6igl92Wp1piMSb7pAE2dY4yMT0vOFy2E04281vkZVkkijZJsGzpNPHsP1y0qRAzgnvBh1CnDrp3b4+OpN6tZWZgkKfgnNW9m1Km41tzHHDKMWhkyWTxXmwawm4OQFQES5EpQY9QHxaXLc+1kJxtINGvDvj80GNBr5Bw7306Kw4DDrGL72gzk8ZAZksAKJo+XiTMTr59oRB6H6Gw6+ybEqnOkCUmjRiXHalKJSvP3VKayPM8RNcRe3TSAzRKtnRJpQtdGSPJSbAZJ2AlIJyF6rYof77uAZ2qGGX+AtSVO5PEy4ojDO4/R//LdWVS3LF6ZlDLfTICnDlyja8CDd9rPE7sKuH9jNstSzFHHsrrYGRYwStnv2xxULPs8fdbvg30eHalnDtYw4w+QlKDjj+4JZwQTEoy6thE2r0iR3Me7B8fxzDOwxZrnCbVX3m9YsAOQmWzBZVZJJhahTHozAT92q44jZ9sIzEbTkQtd2Yr8JP7lpctkOk2cre6hd2iSCe8MP/5vVawuds6fg5tEU/ReJEUIEwrPjezOlufaqSp1UlnkxGHVMjk1I/59VVkKzM1x4mIne7YXsne+S9DSNc6GimTSndH7WqiF7o1FWYnYTEruq8peFH5fkp3IigJ7mF7Q8JiXp+Z93Zc2LeO5I7G7zh19oyJ0PnR2t294kjUFibwREQy7PT7MBjXuCR+9w5PsqkqnpmWY9l63SGww7PaxttgRVaCLVXzRqBXEMYt32h+mgVRVnhI23xnqR3UaJRadkgSzll8dqgvqDd6TH9ad2VoRLski1cE/fKaF1u4xUpOMMdkjQ9l1BfMHgglMaU4ieelW8fw83hmaOkfFmbVVhUk8vC2fHeuCpFTluXZsZhWB2TlautykJRnEezwbmOPGzeGoaxBpoTDH5fk2XAmaoP+UzZGZbOHctW5OXurknbOtYUiJ+zcuE++bsOb3Hq5h3zv1zAZmWVXkFCF7U9N+BscmSU8y4/FOo9coKMlO4OSlzig0UW6aBb1WGSb7k55iihIOFq7hQlDwvv4xhsanJLunAkW7sAYWm5v7LFT7n8Xi5ubm5n6j37BE+7d/+zf6+vr4x3/8R9ra2njkkUd47733xHkowUZGRnjsscfYvXs3jzzySNjv+vr6xESsq6uL3bt38/TTT1NYWLjo93d2drJlyxaOHz9OSsrSRUYh6GhGxiY5XzdIc+cIKwvsjIzPcPJiJ3etSOHxXUVh7997uIYTMX63mAn06p/F9h6u4Wx1D+tLg6xGX9mSw66qLIbHvARmZ0U9H7fHx//1k5MMu6ewGtX8219sXlDk0O3xAUS9Z3jMy5//n9MMu6dISzLwt0+sIinBwPNHavjgQid3r0zhsZ1LO3/hvKem/Xz7R8fxB2b5q8dWUNsyxKRvNua1jrRY3z085gUQj9dqVPMv39uI1aSJec6+aX+YBtJrx+vxB+aYnApw+nIX91Sm8cc7Cjh8poXXjjeK1zvyc/7+2XOUL7NxpWmAf/jm2qjr2DngJsV2K4jaf7SOY+dvsn1tOg9uXsakdybqOIXzvHd1Kl+6Ozdszew/Wse15gG+fHcOqwpvMSK+9F4dI+PTWAxKHr73VvGhb2gi+I9AAN/sHCcvdhGYg8FRDyl2Q9T5RprUmhXW4rcfKOJ8fT+fXO9dcL25PT5++uJF2nrGuXtFCufr+liea+PDK91srUxlz47CsPe6J31olQp+/MKn5GckYLdoeHU+oXpgQyY+/yxvnmyOeU8mJn24bLcfuA6MeCR1sfYfreXY+Y6wa3T0o1YaO0a5WN8fdhzvf9KKzaJFo5Tzv5+/IF6XH/3p2ts6JmGdRN6XWPtP79AESQl6qY9a9Pzae0dJT1o4UPyD3b7diV+C4LP34rv1fHy9l+1r09m5PjPqWRT2p69ty2NNiVNyrz94qoHxST9Wo5pX57vZUntk79AEf/nvZ8Xf//jJdSQlRHdTl2Kh/mOx/Xj/0TpOXe6iqszJ+do+Hv9CAXkZVow6lbje76lM5ctbcqPOf3jMK35u5LOxkL89fKaF4xdu8sfb8lhRcGsffet0M+MTXvyzcZ/Zz38e9vyRGs5c7eF/7C7h49pByWPZf7SWYbcvbA/ae7iGps4RvnJXDo5EnXg/05IMrClOYmx8Cr1WxdWmAR7alE1RViJ//n9OEy+LY8PyZD6q7mHn+jSs88x2C4nEQ/D6f1rbjc2i5WevVGPSK3lwYxbFyxI5fuEmDrOaFIcLojrEAAAgAElEQVSJC/X9vHuuPWrP/uDTVtr7JvH6/KzIt9PSNSr6sa2r0rBZdPQOjUuuQyGe0KjkfPmuTDoGvFGxhNR+KTwzT9xXSF66JWrfdHt8GHUq2ntGF0yghbUXuq+e+LSVVKeBmZk5CjIXRrQMjHiIl8nE5+SRe5exriyZsYlpfvriZR7alM2BU83iM/STP6vCZtGJ39s9OM7fP/MJBRlWxienSE8KFiO+tm0ZrT0eTs4/N2aDmk9re2nrGWfYPcXKAhvfuL+IFLtJPFfBQs9ZuHaPfSGX7FSL6CMiYxrhMz661sGNdrdkPPf2qSbaesej/OVi8XTk8f0mbMkzUr9pKykp4ciRI/zzP/8zR44c4W/+5m/Iz88H4Gc/+xmtra2UlJTwr//6r3z44Yd0dXXx8ssv8/LLL6NUKiksLOSZZ57hH//xH3nllVc4cuQIf/qnf8rGjRuX9P13UvkzaFVcqOtFqZBx98pU/IG5mK3ZzgE3733Szv1VmVxu6Cc3zSTJgCJldzo4V55rZ3muVaw4jXl8THp9XG0aCmuNLlZ9juyuqJRyyUpTnCxOrNhVlbmoKkuJqa8jZaFYa4F95fXjDVgMQYra5bl2TDqlJBQrlqU5DJJYc41asSQFdYCDpxq5dGMgah6mKCuR5MQg7l2YL1oMp+v2+BjzzHDiYieri51kJxvDKip7D9dE0Y6W5thYW5LE2hIXL75bFwalaO8dZTYwJ17j7sFJtqxMDbvGpTk2VhclhUEXO/pGqW8f46PqHlw2PTZzUPD24KkGrjUP8+xbNfjnYHWxi97hSY6cbaO+fZTKQrtIsBIL8hXZiatpHeTouTYqCxzUtA3isGoXFdITdI+SbXqsRhVWoyaI556ntxXs1+daOF/bz6/erkUuB4tBTV3bELuqnCSYtKwvdTLHXAjEL/qeqJTysDUUOfgcq7s4POYl0ayN+vnhMy2cuNTJE7sK2RkSAKQ6DJIsQ1kpFrRqBS57eJcrVncslpXm2FhRkMiG8lt/NzzmZf88k1Zt27A43B05RyDVmdx/tE4SshpLH+8Pduf2edCfX28aJNWu571PbqJSxovVc8GEqm1eulWS/VMeLyM/I4GWrlFOXOpkTbEzaq5DsNshQunrH2N0clqyAHc7+/HUtJ+fvXKFgVEv0/4AVeVOht1T9A95UMhkYjemZ3CSykJ7VJdJ2BtDIc8j4z5mZ2f5p/0XJf2tsK9LCZfmp1vJTbeysiBp0U5vLAvV7PmsVp5rJ8GopK1vgrxUMztWp2PSK3DaggnFzb5R3j/fIcKvhT1oZUESN3vHeelYAwatHOd8d+SPtuRw8FQLj32hgBfevUHXgIe6thE2licBcbR0uSnOtvCN+4uobR2hrXuctz9sJT4+LmrNCfb8kRqcFi1KlZyX3mtgZWESN9pHsBiDiJBR9yQ3B7ycvtwVk3gkM9lCik1HdrKBtm4345MznLnSTVqSgXWlQWRALNTP0bOtaNRyJqamqch3UJlnY2NFsog4iezQCcRXP953AZNeiVolD0MMCM+L8Bwtpssn7L2hsYTTZkAuiyctKXpOK9Imp2ZINGuD/j/Him8GXny3gTS7lgSzlpbu0TCiCAEpIax5hTweGdDcNcIf35vPvqP1mPQqtq5MFzXVTHoVpy93haFgtlams7LAKYlcCj1ngen4YsMwV270k2xT8+bJlrCYRviMokwLRq2a5yW6px9caOPc9d6otSqPl0nKuAj229I3/L1JpBQKBTt27ODRRx9lz549YQLAa9asoaSkBAgyMX33u9/l4YcfFl9Cx2nt2rV87WtfE38eCelbyO7UYeWkWbHoFFxq6Mc3E4jZmjXqVNzsDW4wK/IdbFyeuqRNU6BXz0uz8mldH1tWpX6mwblQ9pk92/PxzxLFLqjTKKltG8RqUGMzq7BbtOKDd7muD990gPZuN05b7Oq1kPTdtSKFh+/NJTPZhEGrWrJzjBwCPnymhTnmeOGdepo6R8lJMbO5wsWQexqjXrWkYFP4zBl/QAz4IlnWFmMzdHuCgntS1wzmdZjGPPhng0HFYjhd33QgDG64Y22GeK1DtSdCaUefP1LDhdpeHBYtL77XgEmvIsGooropiO+WyyF1nuXpgY0ZpDoMi0Is4uLixOSrf8TLg5tzGBmfYmJyJqwosLHcyej4NGZjMJnNcBnJdJmWDPmamvZz6mI7iWYdJy52UpSVyJ4dhaTadZJaWIINj3mpLHJS3TTAOx+1Bx32fcVh9LbBLmGAV+aTpM4+D99+oJBNFWm09U7Q0TfJax80YbdoWZHvIMWm4xu7iki0hCc/oYnS3sM1HJoX1nTZDTGLGZHrVfgMIeDqHZqkpnWYHesy8AdmmZya4c2TTTFnVwTWwIW0yLr6RvHNBGLOOkbOOkA4k1ZVmYu1JS66B8dF7ZQsl4HrLUNRiVGsGalY+nh/sM/HPo9Eqq3HzbHzwWJHW4x5SuH/w2Nexjw+9Fpl2FpPSzLwk/2X6BrwMBMI8L++vVYMUiMtlAhF2F8j523fOdvEleaRqPmJyOdI2I+FQX4pC91jH9tZgHfKj0IuY3BsmrGJSZyJt0ifYiU1w2Nennnrmgh5vn9DFm/OV/Klii3+QJDgZnTcx4p8uyi6Gnk9F3oWQguFofbGiRsMjfq41txPYeZnn5+emvbT3DlKXFwcvzpUx4FTzVQ3DYn+yqRXS87PhY4ftPdM8KdfKmZrZSqlOQ483hlqW4fCZnI2VqSJ9ynLZcYfmOW9j9vFoDfWmhOKqgkmBV6fH5VKKWqU7azK5tDZZoqz7Dx/ZHEou3A+jgQdP3+9WizULjTL2d47yrNv1ZKdbCLFrqe5c4x9R2+QnmREr5GLnxlaGNhUkSYKSq8tTuLgqRY0KjkrC+xcax6MEshdzEKhaZ6pGaZn/Pxk/6UwXcNYFpqAPb6rCKNeyXOH6hgY9XKzz8O3d+XTP+qjLuSahprwfG9fnc5MYI4z1V2U59pp7hpjyyoHs3PxeKZmWJ6XSLLNQPeAh5JsK//z0VXimMC/v3YVjUpOWW4iSQlayWs9NDHFlRv9mAwaDFoVLx9rJCNJz5bKVPzTMzw7H+NMTc9gNSkxaFVhz2t77ygz07PMzs5hNQbX6hc3ZVES4vvj54mpQu23Odf7e5NI/a7t8xDknfbP8sK79RSlmynOtbK+xMk9qzOi3leeaxdFOKU6DlImj5fNB0C9VJW5wvDQt2O9QxM8/049Rr2Sm31ubBa1ODciVCyGx7z8+2vV9A5NYrfqRDx8foaVk5c7OXmpE//cHHnpFknnJgSP/sAs2ckGqpuHo1jQFkpWOvrHxASid54K9/+8fIX+IQ+lOTa6BzxU5NnZWJGGOh5yUkzcvSp1wSRKqhP2yvsNotJ46PD0QmyGKqWc2tZBkhJ0UVUekGbcWQinu1BiadSpwjbxjctTGR7z8sn1bkwGDe9+3EZFnp26tmG+vrNIxOR39nn4k/sLuK8qm+qIbuNC5xV6HEGKZCVXGvuiigKZLhMFGVY2VySzuth1W9TXk1Mz+HyBMOr7TcuTSTRLb8IAzx+uYf+v60myqsVOUkefh+1r0sPulUopp7qxP4wQZMPyVPpHPeiVSrEynWLTcU+Fi5beCZ47Ep4whAaPRp2CQ2dayM9I4NXjjcQBb5xoigquQtfWsNvH3Ows759vw2bWYrdqwzSxOnrHOXO1G4tBxfMhRYEd69JE/HgoI1J5rp0Z/yyD7skw5qM3TtygdgH9slhJOIQXCw6faeHNk02ixsk3dhWL6yg0MfLNBPB4Z0SGqqKsBFRKOT7PFP6QGYTPUn3/g8W2O/VL8ngZ15oHMOlUC85TArx1qoHGzlFau9109LtFCF9rt5v7NmShUclp7XazqyqL5fMD6bFMrw1C6v7rvRsMjEzy8zduae109I8hi5OJBQ9hffr9tzrpWnU8uckGpmYCfHy9l/94/SpWo5JUh/Q1EPbYTJeZqalp4uJkHDzVwkfX+lhXYuORbfmSa1OYB9GoFXQPTIhB55bK9AULYPJ4GWMTPrRqBWW5iRi1CsY8PpEOejGLxRbYO+CmpnWUI2fbcCbqcZpV6JeIWIF5WPM89Xb/iIdn36rBZdNIMghDsGvtsmn4o3vyxXOUllxQie/Pz7BKzlUePddCz9AkI6MelEr5ggQncMv3vfPRTbZXplGeZWFFkYPCLBvtvaM882YNfn+AZalmugY8FGdZ+ctHV2E2KGNe59uZ5TTPa1zqtAputI1Q1zaCRiVHr1WG7asCW5/QpXJ7fPzirRoU8jgq8m3YLFquNw/y8fW+22aIE2adRsZ9bF+THlNkF8KLvlKzQS7bLQbhjcuTKcy28dSb10Tdt1D0TyhSpiLfxpunWmjucqPTxPNnXy0jLcnK2Pgku6oyuNo4zKe1fRj1Sho7xtg6n5ColHLi4uZIMGs4craNKZ8/TOR3xO0Nygno1SQa1ew7Wk9n3zj3VaUTL5fzxgfNxMvjRKmVshw7O9dn4zIp2VBxy5eY9Wp6BscZdPvoGwquyS9uuoVCiSxuCgWK3+Zc7x8SqXn7PBIpjVqBUadgyD2Fe8JPz1BwhkTY2ELNqFMvGOxE2rlrXbx2vEmy0rIQu16kBQcCg8dTnJ1Aa9cYm1ckU7YskcqiJHQapbjB5aWH61usLrZz5cYgdW0j2MxaXCEUo6F24GQDyTYDzkQdOSlmSehdrGRl7+EaDp5qDoOPrCtNRiGX8eHVHr6wLoP7N2awqSKNQx82crV5hGffrmV2lgUThciEZVmKiWcO/r/svWdwG2eaLvog50hkEGAAAeZMBUqkREm2gm05jcdjz64n7c7s1l7fu3PO3j2nTp1bW7W/pmZ3NpzandmxLduyLY9sy5YlK9CWLStYkpUDJeacAYIASJAgAhHuD6Cb3UADpGyNq84evVWqcpkk0N3f19+bnvd57oHDZqGiSIX5xQju9LtQVpiXQddJWCgSxVJoGd0jHrCRwOObC/HY5pXOaS7GnWyH6lsnOnG7340/2VWKJ7eUZPy8zqHDxgotKos1JNxFoxDi7ZM94PO46B5JCspy2IDdoqJVCReDEVq1q75Uk9UBnbg4iLM3J+GwKNE57MWOdRYcaO/GvSEP9myw4MktxbTOKiEETNha9t+B9m5w2MB7X/RhQw54ENUu3p7Ah2cG0VZnxnwwwkgXS7Vr3U5IhGw8s7WELGLEYwkshoJgc7iw6iWQiAUwaGQZlLFCAZcGw/z+Dge0ciEpkDztWcKTW4oxOr1ACw6oe+v5R0owMO6DQibCWyeTSdrzj5SSmlhnb07gwp0peOeXUGnTkEUBwklTWfuWYzGwEzFc63HTKvejzjl4/ZGsXVGAOQmnGqFB9uu3ryMQjGJ9hQ5/srsUVqOCkcVPwOdiYMIHlVQAlUKAhlJ9Eg54rBvf21qMPZsKHiZRfwR7MELxHYhG49DnifHSY+VZYanBSAzTs0F8cXUchjwJako0GHWu7PX7GdwmAr1SqxpXOulaOzqVBLd6nRmi1MR7JBZyUGXLQ9fIPE5dGUXHwCzqHVocPjOIQDCSFaLD5bDh8iziZr87Ra6RLAAZNTLGvUkULGQiNkQ8FuxWNbbU56PEmoShEeLz1SXM39c94kXHgBs6lRATMwsQcdnwByIkgVG2MzEXvD0YidIC5N2bCtcskp0OOW+ty4fbt4RLd53YUm/GD3eVorpEA/f8Eg0BQ0hNUC2bvMKYaw46lRRTswuw6FegZ975IIan58HlcBCLx8HlsFBokKPKpsbuZmZplwm3H1vqLNhab0aBWQmpVEgWkwj6+fO3p7Ct0Ygfbi9BkVGGo18Nr0q+cz+FvTqHDgoJF4vBZShlQmysNjCeq1SiCQGfi+VoFBqFAIUGBQ6e6lsT+VOua1hfocMrR+6hyqaBPxDB97aXoLJ4pRtJdJ9kIja4PBZMFNkVanJMZZrMVaSldnGbyvVQpFA9dQ4d+a4UmpRovzQCAY8NQ54EvaM+bG+iP9c8hTAjobva6cSFO1No/3oYBpUAYLFgMShI2Y+nt9jw9skeaJRC3O7zYGJmEbs2WvG97XZwOewMrVQAWI7F8PonXRiYmMfI9AJZ4KMmhPOBMFyeAK1A8V3pGz5MpFL2IBKpUCQKty+EiZkATlwcQWmBEnf6ZrNWjXMFO1R4USgSxW/evUmKpT263kKSBDBhQFdLrG73ufHVrSnUluQhGgNOXhoBh83Gq0fu0SAVJo0Ey9EYpUthIpOPYrMC+493Z7Sxp2YXcLN3Fte6XIjH41BK+dBTOhrUrlE6tIGAFBDwkf/50yZsqU++1IQTLzQqoJAmk9BYNEFL0jZV6hCJxrMmadRKPFEJWl+hw+x8BEfODaHeocGFO9MZcBMAOHV5BBfuTGHU6Uf7pTFc655Bx4CHdILe+SCMGhljByebEQ6VwJozzYt554NovzxKOxzUChHmF8MYnJwnBWWbq014/pFSWpWQuEcWK4E6hxb7jnaS+4QqpuedD+JKpwtKqQB3+mdRbdOQwrMj08n1bGsw5WR5zHZ/xP0QbfYJ1wIqijXoGMiePALJhGJuIYQ3jndhQ5URpYVq/OHTPpIu9tGm/AzRULcvgN99dBdSIQ9lBXmIxeP48Mt+/P7wXawvMyASi6K1Jj8lFBxGaSGdMpYJhknMKQVCy3humw2PbS5OsvTppLR3jNhbHQOzaGvIp+liNZZpkKcQg8thY86/BLVChGvdM9hab8D3tpWQ63XsqwE4PQHo1BISepunEmdol1kNStwdnIFFL4OAx8G6Cj2aqzOZF6mdbybjctiQi3lQyoU4fnEE5QVKXOt2wpAnwmPNReByEig0rczRVRZrUFaoQkOpngbpu90/i22N+Q8hfX8EexAdKf9iGB0Ds2itMyFfK2U8H0VCHlyeANmFmp5dwl88U41nt5VAIuKQBbO1wsmJs0cu5qDAuCJtQLDo2a1qmBR8tK2z0PZnnUOHIpOMLBRMzgbw3LYSfJoSLp2eXQWuNT2P/cd7MDq9iC11RjzTZsvaifrs8gj+r2crMeUN4t7wHF472onIcozWnaaKbVNnJYkAbuf6AhQZ5FgKL6Nn3I/DZwczOnDpthyLQ8hnYXujBUUmGWz5KvJ+mERnie/N5dezQc4315pR78hDlU2LC7cnyPnRtcwzps8V7T/eibM3JzAy5U/5kqTYOpfDxmIwgruDXpy4OIJN1Sa8+1kfTl+fQP/4PKNfoyJxmmtMGHclIYjU4vByLIrHNhZCyGPjXIcLPB4Hh1L+nsVKoKpAgYXQMmNx8H4gXHKpEDUlWhQapSgv0tCY55jmbgDAoBYjGkvgvc+Tc11TlI5ZriTKOx/EYjCSkRxLxXywWcCFO1N4aU8ZdjcXkT8jihL2fDkSLA4Ju/7JE5WMs0HpM0pU9A81rnRYVWiq0MJuUePIuQFybn9TTVKeZHxmHq9+3InesTkUGeX4xdMVqLHraM9WIuIjnohhY5URtnw5qmxa9I350DHgRn2pFkNTizT4YWOZBkXmpDBweDkGu0UFnVqMr25PMc5vkvfEoOsGJM8jpZSPDVUG7Giy4u2Ulhi1QPFdyHQ8TKRS9iASKS6HjflAiKTQ3FhlxImLIwiElsHjslFVrM54gZLVCC3WVxrJDZ7equRy2EgkEvjqzlRqYD2JdWXCgB463Z9zuO6LKyNkx+TR9VYc+nIAzVVJFr/0DSgS8mgvIpfDhkTIRYFJjlNXxsgqQGOplrwvmViAgQkf9GoJ7g56UJyvxJOtxdhUradRhjNBG6iQgidbC2HQSGmVM6oTl0sEuNXnIoPOx1sK0DM6xwiXoFq6TgifzyYDwqe22vCHtKBVIU1WPU5fH8eljmm4fUE0V9O7KcS9FOolSCQSqLGrsSkLrDP9WnLNi711opNGKUtdmzqHDnV2NbY2WGkaS+l0+3UOHdisBI6cG4bXH4JIwCYdIeFMRUIe+se94HLYiMcTKDDK0VKbT1NBrypZmZVZy8GUvr4zvkVw2Bzc7p/Fpmo9ntpajOqS7EKDb3zShaZSLWIJFjoG3NhYrgOfz8XQlB8WvQwtlOCLuKZwJIZ8nQiBcBxvn+xGoUGGD1MQwlv9s/j5U9Xg8thYjsZx6a4TO9aZ8MxWeqDFVHWvc+jg9Qdx5NwQlmMx3B3wYGDcA5mQD6V8xWkFw1H87qO78Mwlu03pulihSBRefwifXh6Fw6LE1/dcaGswQyYRwB8Iwzsfwh8+60cgGMGPdpfCZlFgcNzHqF1WUaTB0MQcLne60FimJ4sZ+4934nbvDDRyIdRKEa3DzUSSoZQKyBm959rsCC3H8ObxHhz9aghLoShs+XJa11nA55KaJGvRn3po384eREfq9WOdaCo1IBpP4JWP72IpFCH9CtVMWlnGeXSgvfsbEYm4PIuoKMqDQSvBodMDJLlJVbGKDPSkUmEGAuNAezfO3BgnpQqm3AEUmWUoNMgxPbuUE6IzPjOP/Se6sL7SAKVUgOMXR6BRihlnTWRiAULhCLRKKSLReAaKgMvl4NdvXweHzUJtiRpf3ZmikbFwOWyw2SxcujuFxgo9xCI+Dn7Wx9iBm0lp+RAm4HNx+Z4TH58bgjFPSiaXhFGH5/cf78TBz/tyJmehSBQcDhudQ26YGCB8xPlCnR9dDQGTbkTh5Pvb7fjozCBNbJ3HZSNfJ13pTPiW0FxtzPBrRIGHisTZUKnBnf5Z9IzOJ+eXYzHc6nXjWrcLn5wfxpHzQ9jVXIh32nswOu3H+koDWKwEWmqN6Biao40MfBs70N6NVz6+h3Akhh89XpGVvIAwkZCH271OCIUrc117NhfnLDQcPtObQewFrPgvh1WFnRussFvo+5VIrndssGbQsxMsrkzkQNRrBVbiSomQC61KhIOnevHGJ10IR6Iosahwq28GLz5aBn1ekj1QIUkmL2POBZQXqTA8tcgYW17tdOHExRGYNFI0lRswObOAplIdlsKxjMSeuN46hw7FJim4XA5OXhrJmKULRaKY8QVoSXK6rhvx3K51T2NuIYKRKT+KzIo1IV0etD1MpFL2IBIpANCqxGSAYcuXw6qXQacSo3vEB4VUQB7q1ID0/K0p2lAvE8sbATMoolSI0zGgpQWqnMN14zPz2PdJF9nZsplk0KkluDPgxsYqI0waEX7+ZBXMaTh0avKhVYnwuw87UGXTgMtlobFUh0+/HsWUewE1KQhEtU0Lk1qIp7aWoKFUj/c+78Ubx7rJoJoKbeBxWXBYFeDzuCQDy6ZqPe70e1edHSstyINJKcD29RY4LOo1swEStv94J764OkbOhxQZpdAwBK1cDhs+fwhGjRgapRh3B2fx0p4y7G0tod3Ls1tL8K8fdODIuWHc6HGvafCeVH5PzZwQ1UeyWzUTQEudiXY4EHtHQakSZ2OnSSbbHeSa//ypKrz7WS8JHasoVEIhFaLKpoVVL0NLnRlN5QbsP96JUHgZFl0yGQkvL+N232zWJJ3afaI+kyJjkrzgjWPdcFgV+OsX6lFZnN2BU6Ft/RPz2NZowqPrrLh0z4VR5zz+bG8ldlGqdQfau/GHUz1wzgZw4LMePLahCPtTs1BO3xKaq4wAK4GfPlEBm0VF6q01lmngKNAwsuwxDa3+9lAHKgqV2NFoxbTHj9AysP9EJpGDPxDG7X4PHl1vwVNbimjFAy6HjeFpP4QCLq52ubC5xkR2aAV8Lu4OuqFTS9A17IVMIkBLXT5sFjUK9DK01hlon0V0qannxKTbTw71vt3ek3X2ixpYUpP5tiYtRp0BGPKk4PNYKMlXZQTR6QPO35SV7KGtzR5ER2p2bgkSMRdfXB3PCIDTkwxq4WxkYi6n/lA2++B0D7qGfXjl47uwmWUQCfjkfs+1V4jC4OCkH1wOCz/YZsPuTUVYX5F7DpNkSuNxk2iGaBR3B705iZmcnkUkEsDn10YhFHAyUAREt1ajEqHAIKMJmG+q1uPYhWHMeIMIhWMoNikx411EnlKMrmEPNteYUh1lB650ujI6QFQyh1yis8TvUZOz8HIUdXYN2Rkj3mupiAeRgIdweBnPbLXRzkiAeX6UqVOdXmxx+wL48Mt+3OqdQXlhHm71zaDOoaOJrQ9P+fG97Xayk7OxyoifPFFJ64RQmT2pIuA/fLQMd4e8pPaiWSvF+VuTGJ32k7pmdoscKpkQncNeNJVr8ERrMeJx3Bdbby5jKkir5cw0+1S71T8Dg1KILfX5pIgtkzk9i4gsxzDtWUL3iAff327Hrb4ZVBap8fHZQZpPzZaI1Tl0YCGB5WgcLu8SnmkrQoFRAamYvybWVOrcepFJBrmIj7dS3Zvp2SX8ZLcDLl84w2/UOXRoKtegukTHGFsyzWpV2rRQyoXoHpnNmL+nmlwqRKFRAQ6HhREKCuSr2xM4f2uSMUkmzp8j5/oxMbOIYCgC91wIfaPJGTeDWoLKIhX0ajFs+d+dHMfDRCplDyqRAlYqSk3lRjgKVBkUxwdP9eC3h5LVJUeBipY4UYd607G2TC8Z1cGsNlyXVLheStJGb7dj96Zi1Dl0qLWpsa7SiIGJebx1sifnCyngc+FfDON6zwz+7IkK9I7NoXvEB6VMCLtFSQbTUokAAj6XDKoDoWXwOGzUlmhIDDmPy0JZgRo3e2dpjn0uEF7z7JhUIiRnrtbCBkgYURUbmV6Aw6LAy89UQq2WYGu9BU3lycFSKpTDlq9EvjZZdZt0B9A17MOOdUl9BeJ76+xJkcdcVXqmjs5HZwZw9PwAxpwL+OjsAGRCLkoL87AUikAtF6Jr2IOfP1WJPZuKs0I5syXQAj4XPn8I17pdeOFRBzZUmchOU22JlpbgEm1w4nB0WFT4MtWpzNfJcP7WJON3pHefqGvxZ3uryMRm0h1Ac5U+ZzCmkAgRiiwjXy9DqVWJxzbZsBSOYt/RTgxO+nGrbxYttUaEIzEsx+L490z+StkAACAASURBVEN30FxlxLVuF7Y3mRCNx6CQCmkOfXJmEe9/0U/b1+duTeIf3mGmNiaMEGEU8LlQyXhYjgGnrozgmS128p58C2HUlqjJe6pz6JCIx/FOey9jNbzAIEd5oRqbawwZ5CilBWrYzAq0NZhokFCRkJcBq2SCIVKHepnoerMNMRPBs0mrhD8QQl2JGnUlerx5ohuNpRrsaLJiORpFMBxlHHB+aH88exCCvL/7sAPDk37sbS1EW30+Tl4azTkUT0CVL92bgFGbyXiXjW0OSAaNw1N+cra2e2QOf/2DOmyuMTCeh9TPovqvpnIDNtdZVp3D7BpwIRKJJ3WCNDKEwlFUFKkQjQFXO53YVGNCqVWV8bdSMR+3ep0Qi3gwa+WoKlZiz6ZC2nunlArQfmkEXSNeNKSKbdsa81Fj1+LYV0PoHPJieMqPjsFZvPx8PawaMZprkgWPHesskEp4jIKka6WIJ36vM5WcEWf2a0c7SfKnQ6d78f3tdoTCYVTY8rCuwgSzjlm3q8Sigs2sQEutgTGJSmoj9cKgThYM9x/vxPjMAj6/Mo6uYR9MGhFe3FmKtkYryqwKqOQi2vlT59ChqUKLranPJtaVidmzrdGKhlINCs1KDEz4SPmLOocGhQY5Rqb9qCrJw//zfB1KC/LIbsT6SjOUUiENjbJWaQiqsC/VEkiy594PKQFBhnH21lTOoikhK1FslgKJOMDi4KMzg6hz6FBdorkvVjmiCLixXIPOFBS1pjgvY9aX6ToIf6GQCqBViqHXCACw4fIuoa0xHxajjLZG1JiL8IFMsSUTFBVIslrWlOhgyhNh18aCnN09o0aCp7faUFGUlxyP8QbIJJnPY2WgIvyBMG72unHi4gi0auIaBSgyyXH25gSudrnQPz6/ZsKPB2EPE6mUPchECgDpAKgBz58/VYnhiTkSRjA9G8CujQWQini0A8lhVWFrvRm1a2xXU1++1Ybr6hw61JSoUF+28vPr3S6w4gm8lRaAZZuJqbFr0dZghkGz0s6fWwjj2W0ljE55KRQhu3IErWedQwe7VcGoY6GWi3IOymez1dgAqUbMpyllPJQVKHFzYIWKd2uDNUNXh7gXpsOEpH5NqZZnq9LnSoKebi3GVx1TqCnR4qMzg/AHwvj+I6X4j4/uklolW+vNOHy2HzvXF+BGrwsbKg0ke06uBLrGrkVrnQnlhXnk9VYUKkl9jPQOHnE4Ep1Kl3cJNSVqFBkzac6zDU4Tz0Qq4SMUjtKCMZdnEVxuJl0pYXf6ZnH+1iSKTArU2LX46tY4dKoVCGf3sA+/P3wXQBxFRgVu9c/gyZYiSEV8vHGsBzaTDD/bWwGbRY5wJJY5DNvlJOeOsgWT6dThLDZw6PQAKovz4Ftcgkkrg28hjM01RrxJmRUMRaL4xwM3cn42l8POWj0V8LlZNU/SzWFVYUOlHo0UBk+1kv7ubG2woqN3BtF4gqRqdliVGRBjYu3NOjnCy3GY9XLkKXgkTDIaS2BzrZnRaT60P559W79EnA2LwQjkEiGu97jQ1mgmZxpqGOC1B9q7se+TThjypJCJ2XjxkVJsW5c8z9460Yk3jnUhEY+jrDBznkEqTkpnpJPCMAV3TPBuR4EKuzYWrCmYDUWi+OL6BG73z+KD0wPgcFh4ZF0BWGDRJCUe21RIspJSiz+TM4tgszg4dLofLBY7I6FJMvktgM1iY2LGj794tho7NxSSmnYKKZ0JUSoRkD5TwOeS0Kh0hAOQSeaQLTkluuctdfmos2vITpbTk9QHdHmD8C+GsBCM441j3QgEl1dlZ2UqSoYiURw63QurQYGTl4ahkQnw/ul+DE/6sbUhHy7vEiqK8sh7kEkEGTBoApKd0UVgmG/Zf7wTbx5Pnq8v7amAVsnHM212NJTqyRimoVRPi22oe4iKRllLEvXe593oGPBk6OAdPtOP37x7E81VBvzimeo1kxJkm9mhGtFR1CqF2N5gRSwBcgbR5V1CW50RLBYb07MB7G4uSKJ8cgT+BHwvEI6S+yCBOI2Kvq3RShYA081hVcGik2DMtYBgcBlCPhs7Gi0A4lhXYSLv59H1FjRVGDOuJVtsma7jREU/NJQZcpKlfHC6F5fvOTE+s4DKYg2J2pBLBVlREf5AmPTpiUQCz20tRolFhdICNaRiHq279V3Zw0QqZQ86kaKaw6pCQ6kGGpUIh77sp1W3NlQZM9iBjpzrRzSWQDgchUp+/wPc2aoaoUgUTu8iLDoF7f/1jflw+d4UygrzGA/9bN9x4uIQdCoxiswKtNWbsw4KOqyZXTkuhw2FhFnHAqBTxBPXuZbqwmpwPqrVOXSwGqTg8bi0gf6GMg3ePNYNs0aMbU35YLMSNPpXpsOE+r1MQUO2rhER6Dg9AWxryCdpwZ2eJORjfjFCBsDlhUrMLS6j/etRrKsw0LD1qyXQ6XtCIRXm7ODVOXRoLNVic60ZW+vNWFdhZPyO4xcHSVx++ud8dGYA/37oDnasM5OzSAfau3C7bxaffp2kS03Hg6c/p3XlyVkjNoeFGpsGJq0UH3yRrFZNzgTwf3+/FjvWWVFepMHdwRmUWBTgcNnoHZvHG590QyRgw0SBFzSW6/EP79xAlU0Dq0GCv3i6Gjq1hHYN6SKMm8o16B33odSqhssTwMZKE/i8BJ5steHN4920fS3kczM6RS7PIrwLSznJOrIxReay/cc7se+TTPgDla7X6VnEvmP3UGCUIxZLIF8npRFTMJlExMexrwbgMKvJzhu1krza/MBDe3D2IPxSjV2LymI19h3txNMtxZiZD5P02vlaCS3QId4/91wQYiEHT7TaUJCCk3vng3jjWBfKC9U4e3MCbBYYk6nKYg1MeSI8tqkIJfkKxkCKqQBz+vo4CVNL7+R654NgsVk0HzDp9uP0tfEMvSKZRJBRWDrQ3o2j5wegVwkQjSew72gnNlWZ0J4isaAytFGTmpqSJD34nk3FMGlWOj3VNg3Ki9RkJT2bEdAoJn9K+JRsVOjpv9f+9RDtrC0wyrDvaCde2l3BKFlArOdaZlq5HDYMajEOtPegucqIc7cn0FRhwPCUH5U2Ff7q2Vo0V5syxMmJ9WCCeKXrMxLnh9sXwP4T3dAqRWBxWCg0ypCvU9Cuc7VrfutEJ179pAuJRG62XiC5d651z5DwQcL/tl8awZHzyaL2wMQ8nt5qu68ORq6iaSgShVImBJeTjB0GJ+aQQILWRWupt5A+1elZYoReE0aF77XU5ZNJT2mBmgaxZtIOpH7Ga0c7UWhMsljq1RLweGysq0jKYAxM+PCXz1QjEIplvZZs60KsNZVFbzUaeH8gjFu9blzqmIYxT4KS/OQeIFAbpQVKWpeMgMDO+ZcQS7DA5yWFnm/0zuLtkz2QS/jY22pbM7Pog7SHiVTKHlQixXTgE9UXlYyHGpsWn10ZI4dvm6sMOH19nGQHMuSJ4ZkLoH/Cj7dOrH3IN/2AS7eLHZM4d3Myo2LE5bAxObOA0HIc8wtB/NkTldixvmDV7ztydgCfXx2DIU+MSx3TMOSJySoP02GbTZOjxp5ky3luhyNj8xOVs2zzHQ/ClFIhbvc6adjxtgYrBDxAIODj/c+TSS11DYjDhElIOZu4cq6uUY1diwm3H3weCyqZiHSUW+ot6B/3kQGw3ZJMSEUCLupLtVDJ+PdNQU611Tp4VJFhwly+RTIh8M4H8W8fdJBMeo9tKspg6fP6Q+gZmcOz25ICv19eHwePy0H3iA8CPge1DjouPP05VRRpEI0lcPjsEGIxoGPAjaZyPS0BJO67tCAPMjEXY85FElo05lzEX/+gDo+ut2BzrTk5JM4CfP4l5CnEjFDWdBFGi0mOf32vA2VWOaJxFt75tBdKmQhtjVbGfU2t1H5xZQg3emdzYtizVXJz2WpzFrFYAiIhD1IxH5Mzi+gf9+F7bTbsTJudIMztC2AptEyKp3rnQ7je40JdqYbsXjRX59P2xUP749uD8ksycbIDn6cU4uOzK8QKOzdYM86QQHAZXA5QbFLS9qVIyEMiHsfZm0m478j0QtZASSoWkDp9TPs6HYpdX6rLGoC9+2kXrnS6Mua6lFkEZQF6YckfCOPo+QHU2DXQykXoG52DRi3Grb4ZtNSZkK+XodqmxoYqU0ZSQwSmRKeHquUj4HOz6ihS/3+uAkouKnTi5wTUMv2s1aklmF8MY9LtJ5kRdzdbSWa1bHOz2UyjFJNIhKpiDUmisHNj8lxPR2lQ73MptIxIan6nrTGfsetNJHcSER/+xRBkYgHEQi7e+KRrzde4lmeWbiIhD4OTPlKv6NH1VujUQrz+SRdJN/7UluKsNPe5jFo0JdaKGq80luvx+tFO3O6fRb5Wisc2WLBjvZXWRUsAOZMPAhoZjcVh1EhgyBNia4OV1tFUyoQZBUAqqojqLybdAbQ1mKBXSyEUcBGNxfHrt6+jf3wes3NBMuFMv5a1FLNzxXpU884HwWazyHWc8QXJzjHxOeldP+Je5VIhhiZ92NZowVe3pzIQTcLvgKUv3R4mUil7EA7r3U+7cKPHTau2U/HBk+4lPLelEMHlOK50utBSa8pwIG0NZvC4XBygwOxWG/JlgqFRLRSJYs4fysrYQwislhaoYDUqMv4+3fpGPNh/sgfPbrPh+IURGi3twVO9eO1oJ+xmGULRKOls0mEAVPrtXDpLTBUOj3cR/qUwElhJHrzzQbjnA/dN0Q0AJZYkFe/WppVOnEjEpeHb0+e0mISUs4krE92GbF2jqdkFLMcSGJhYIGnBN1QmA+MauxblRUpsqsknqUa1KjFOXBzBcjT+jdiKnK45zAUjkOfQ82Ky9GoXEQwNTfphNchoCZmAz4WAx8KuDVbYzElaVKmYj7mFEE5fnyDhoHtbM5mOqM9JJOSha3AGErEAY855fG9rCR7bXMyYAB4+04tJdwAAMqBF1IpZktZcTHM6xPwCYdSuDnGg19h1NFrzJGbfyFgB43LYcHoWweFyMpiWiO+Zml3A3GKIcY5iNcs1Z5EeDNY5dJhfDGP/iR5aIOqamcf8YgifXxvF3UEvGfRuqDLiTr8LAgEH/kCUZGRK32v3o1/30L6ZPahEKhSJoqncgNt9dHkGps5ijV0LR4GSNqdKJOplhWqwWcBImpZauq3WoQDohRz/YhhyCT8jAPPOB3Hy0khGsEScGTV2LYwaEV7YmRSUpfoV6pxonlwAo0qEkZlFvH96AOOuBWxrNCOyHMf5W1MoMimQr5PSAvTGcg15RrBYCUzOLGZNDAljKvr5A2H4FkKMhc5cs73EexyNRVFsUmI5Gss4a+scOmiUQrSmZnsJZjW5hIev705lwMBXszqHDjU2NVrrLWgs1ZGaWtRA3LcQRiwWw28OrFDDS0R8DE36UGPTgMsFmsqNWb/D7Qvg069HIRbxMrpE1GvMBne833loAKiyaVFokOGJliKsqzCQYrw3e93Y21KEZ7fZV/2MXPbWiU5cuDMBvVKE/zh8F9FYHGatBHP+INmFsuUr0dpgzYB1ExTetQ4t1pXrM1AaSmlqblgnw6WOaXDYHNTYtRkQ8PQCILULyuQvqEQl5UVqDE/58WRrMWwWJUam6e8h8buFehkS8SgC4WjWwv1qenPEvgbiaCzV4vHmQjSVaWDLz+xuZ9MzqyjSIBpZhn9peVXh5+/CHiZSKfu2Dss7H8TnV8cyqu0ahZhUrt5cY8Rrx7rRWmvCT56oICnFqRl8Q5keHf0uqOSiNVELpw9yMjEAcTlsDE3NQybhZ507ShdYzWZTsws49GUf1lXosLi0TA6JPrreCoteiteOduL57UUYdgZwb8BLSyoJ50cIIVIdUjb6Ti6HjQQSGHMu4BfPVKFneBY9Y3PoHklSnccTcUzPzONqtxvXupwo0QvhWYxAKRXSnGouO9DejVeOdpEHFMCs8UVUZJiElP1LEUaCjPRuA5Mzk4kFpIYLoSlF7e5Q11OrFK0aoOSykxcHcHswOQ/GYsWhlAlydjIJy1btytXVutgxjUNfDkCnEpPrnIR/JmhCn0yWjo0/en4AZYV5+OB0P6k9QjXvfBDTniUcPjOECVcAmyr1eP5RO22fH78whH85eAsyMRd1dn1Wp0NYemIVC0cQTbAYtSyY7MyNMYRCEagVdCZIl2cRH37Zj31HO2FQCxmZItdiTE6GqVrLYrPwmwN0hr+rXZO43OXGQjAKLoeDExdHEI3Fsa5cA6GAg7fbe9FWl0+KEafvtXdOduG3H2bXynloD8YeRCJFBEGGPBEOtPclWb+2FmM3pQKcbunnH3WPlRWqGQMlamKdbQg93URCHhlY5esk+G8UHZ5QJAqZRIAp9wKUOYIlQlD24Klu3O6bxcCED9W2lRnUBIB8nRyBpShuD3igU4kw6Q6gukRDKQQG8ERLEcKRKBmgb623kvfw08cr8H6Wd4EwpqJf+6Uh3Ohx5xSRZTpDifeYw2bBopfhaqcLPaNeknSIajweB1wOGywWi0QBRGMxlOSrGGHg6decfn4RgT41iaFLkxSTc97UxLbYrIRaIcD6iuyJzVsnkuichlItYjGgyCQn4wdqgXE1uONqaArC91OTsXRNoTqHDrUlamxMQZ1zkajksou3J9Az5oVGKcF7n/dj9yYr8nVyCAUcHD0/QspZbK7N3jk7d3MC525NorxQBaNWmrEmBQY5ea7nIqagFgCZfkb4C+peHZycx1+/UI+9rcW42unC51fH8PRWG/a22kiE1a/fvo7GUg3ATuDe8NyqosjZfCLVPwl4bEjFfEy4A/jwzCDNlxD70jsfhFYlYfwsmVSYE9H0XdrDRCpl39ZhiYQ8BMPLpL4StdpOvLDEPEXf+ByNmEEh4eG5HQ6o5cmgtsisQr5WgpZaY84kKp2+OxsDkGtmHnKZAOsrjWiu1mckUWudPwKSQX//2BwK9DK8/8UABifnsbHKgKe2FEOvliZFbsuN+OrOJCOEa2p2AfsokKRNlTp8eGYgK/Rp//FOfHl9AntbilBhU4MFFgYm/GQlq7I4DzaLCnf6Z7CtIR8XO2dxjiIauFqykIvxzpgnRmtdkrKXCEZKjDLIBBzEKAH1lnoLY+JFpfLO1W1wehbhKMjLWmULRaJYCi2TWknh5RgJoSgvVK/58B91zoHDZuP9z/uhkPKhlIlWPRAJIyA/6QG/07PIeNClrzOVnra8MG/NOObjF4Zw4tIQntxcnDWoB5Lv373BGRg1UgyMz0GtEGUIXP/LwVsoL1Tjs8uj4HBY+MGjpVnnF5hMmkoc10L57Q+E8U/v3sKocxGPbyzAns0FJIady2GRwpIDE3781TOV2NJgxoYq032zDKUXTTzzAQAsOD1LeKKlAMUmJWQSAa1YI5NwIebzcaPHifXlWji9SygyybG+XAv3fATvftqHjVUGnLs9gXUVBpJu16yVQSrmJ7Xozg+t6tQf2re3B6EjRQRM054AmquN6B+fgyFPjA2V2bsGQPZqMJAZKBEzSHlyAQx5UvLvV5unowZWU7NJAgWRkIf2S8N471QvQuEont3mgN2ixLPbSrKeGc7ZBXQN+3CpYxomrRRmtRDHLg7jUsc0CQlcX2VE35gXPG5SL0+rEsGql9Pg1ukBep1Dhw2VOpQWalZNDNOLovk6KbzzoQyNKiYymfQzPBiOYjkaQ2mBiqR2JkiHqB05agesukRLwqL/dHcZjbKdKfFbC2SeClUn9kNThZHmq5rKDWi/NIzPr4zh7ZM9WT+PWGv3XBCe+TBe/n4NmioM2NFkoSV6q0H3iIQ9m9/bf7wTh88OwDkbwO8/XknGGHX0Ukif1RK3bDGS2xfAK0fv4U93luGd9h74lyLYVG3C8QvDJFFH17AXcqkga9Ln9Czi4Od9WFeuw/hMgFGaINdoQDYoqWt2AR5/kFagJvYeEwRvKbRMzkf6l8JweQL4/eG7iCxH0VCmR3OViVFzba3kSAC9m/jzp6rQMzaX0ZX8/OoYXjt6N2P9slk6oin9eXwXyImHiVTKHkTl7/LdaajlQvgYKmdKmTBj4/oDYRw81YtPL49gyh2gwfMkIn5OOJ/Ts4i3TvaABRbCy8v4Ly/WZwiVASsdiNdTOOT0JOrouQG8094FnVoEg5o580+3YrMCchEX0Tgw5lyAw6oiHUudQ4dwOIJoPMEI4SKw+uT8CYV2k89jwWaWk/dNJCLuuSDiiTjUcn4KZsEiO2EVRWpEI8tYX2GETCTA/hMrooFrSRaoB9QPHimBWiGETCxIPrd+D9483g0WksQJm6sNcM2HsO9YNzZUavHDXaW055lOkJGLtYkwKiwzXXsDAE5dHsGFO1Mk21CxWY5PvhrEI+ssuN3vRnP12jtSSqkQt3qd0Kok2FRtwMlLozBpJJCIebDoxFkPRMLhPrapEE9uKSTvIxekNH2d05mV1pIwjLnm8O+HOvB4cyFO3xhHrUOXM5ApL9KgQC8j56HSv08m5uKzy6OIxpLJdXWJBnmKTB2p1WwtWjoCPheLwQi6h32QSvjYUm8h4TGEsKTLu4SfPlGK2/0e3Oqbzarts1bbf7wTH58fwvYGC17cVYrOIS8ZHDz/SCmZvCokQky65jEXiOLdz/pQWqBES50ZXC4HBz/rg3suCN9CGP/vn9Rja0OSXOLugBfHLgzBblLg9RMrWnSPrLNgfSogv5+CzENbmz0IHSnC7/zgUQc+vzoOh0WJzmFvhr5SesDh9CzCkMdMpU0173wQxy4MwpavwsFTfbTzgHo2MVX8icDK6w/jqS3FqC/VIxSJ4vMrY+ge8UEi4qG0QJUa3M++tzoH3aT49owviF3NhYyQwHqHHnkKPrY3WVHv0DPCralzngI+lywApSeGTHPJVFgTVRtuNapzqhFBfb0jD621ZswHwowdOaYOWEOZPqk3aVbmTPzWQgrABFWXipPivvuOdkIu5WNwwo+WGiM+OtOfFX5JoE2oQfQTLQUoMMjx1e0p/PPBW7RzLxd0b7W5L6KA11xlxJmUdIfXH0YiHsd/HO6AWs6HJU0nc7XELVfCKRHx4ZwNoH/cB7tFhWKzDOduTWFDpQEj0wuosavxl8/UZE2ijl8Ywvtf9OLxTYW4MzCLwUk/FFIB7g56sHODlbYmjGRPqWuTi3lQSgXkfP6FO2O40uWmFaip831AJgSPGgu9tKcMH345SBY4fv5UFfJUItwbcmdort2vEcWKAqMCAxM+VBarsKPJgpJ8BRxWNU5cHMSf7iwjZTzWqgtKfR7EWt3vnOA3tYeJVMq+rcNyehbxysf30D8xB3u+Ek9vLcoITKkb90B7NwLBCD4+N4SnW4tx9Kvh+8ryCdHW7hEv6hw6MomibhyVgg82i511NurouQFcuptk6zv4Wd+aOhPE54PFpimAUwct/9cHd/DctgKo5GKMMUC4iCpfa72FnD8hqS6Pr7z41ETkz/dWIhiO4Vq3C1trTDDrJXhicyE2VJlxvdcFlUSAhVAEYhGfFA1srjasqXpCHFDXu2ew72gnio0ySER88rlNe5awt7UIm6pNeCvFYjY0uYC2BjMZVBNBZDq1bC7WJibCAGp3JxSJ4vT1cVrFZm9rMWbnQvj08hjWVRjumz3NblXDqOBDqxACbBakYj4u3JkCwGI8aKgO996QBy/sLAOXw8adXhcOft6X89lS1/l+bf/xThz4tA9b6s242TeDYpOSHH5+vMWW9e9EQl7WxLLIpMByLAqzNok1D0dif7TD9bOvBxFejkMtF0Ii4qI6NSOW1IVJCku+tKcMcqmAxjy2GtNRNht1zuHo+SHUlGjxwel+FOil+PDMIKKxOAwaCWxmBRkQvnWiE1a9DAdSs1tjzkXsaDRhdNoPtSIJKd5Sbyb37MJSBMcuDKGsMA+j0/Mwa2XoHfPiJ4+VY8/mJMzoj0kI83+yPYgCH+F37BYVEokEzt6cxA93lkIpXSGrSQ84shVJ0pOt4xeG8OrRe/jRnjIcPJX9PMhV8Se01w6fHQSPy0axWYFXj9xDILQMi16G1z/pZNxXRGDoD4Txzwdvo7nKiGg8jpf2lKGsUMNIUR6KRJGnEK/KEJctACNY/d7/oo/x+YQiUdqwezZtOCYLRaLwL4ZTc1Fx6POk2PdJJypteXiq1ZbRkcs22E/cT66O4GqkAEzwdcK3EVqSnUNebE91k0LhKAR8DuYWwvjRnjJoFCKSoIIazOtVQjy+uRgdAx6cujKaldiACbqXCz1CGFHAo0p3PLWlGKeujqHeocXhM4MIBCO0Nc2VuBH+j8NmwWKQosSiRDQWp40pdI94sKPJgsdbbNCohJj1JX3l3pZibKzQQZfq0KYnMsRnj7kWEYvHUVGshk4lRs+oD9ubLGgoyxT5pd4v9do0KhGupghZygtVUEhEpL5Urvm+qVk/DSVDxEJ2izrjmXA5bJQV5kGv4GPnxoL7TqLSYZYAUG3T4kqnCx+fG4JeLUFTuQH9Y3M4fmmYXL/V5uCI2Cu9OLC13ozffdTxnSAnHiZSKfu2DksqTh7okzMBNJbpsLmWeZNxOWzyQBie8qO52oip2UWaFsBaNmgoEsW/fXCHPOj2bCokW7PExnmmrQRdw7PQqiQ0yBmQ3NS/++gufvCInaTcpkIAmLR+simAE9oiDrMMrxxJJgbXumfxX3/YgF0bC1BdooVrdgH+pQg5s0QduKxz6GAzy0noI9UR1zl0aCjToLRQg9v9LnC5XLx7qg8CHhdb6i2YcPtxoL0XsQTQPerFc60WVNn1aGu0QsRjIRrHmp6rxx8koWgefxAqGZ98blvqzXhxZxlEQjq8jUheVwsis5EHrCbMyOWw4fOHoJILMeMLYndzAZyeJdzoceEXz1RhdxYGttVMKhWCy+Pi67tOxmFf6oHH5HCdnkXsP9GF9ZUGSEW8FK04M0zom6jNUzuRvoUw/uuLddjaYEW1TY3SQs2aPyd9Ri4UieLyPSeudrmgkArQtFnHxgAAIABJREFUPz6Htgbzmg/XtUIE3L4AwGLhnZO9uDvowaQ7gKZyDYLhKD69PIInW4pw8e40NlQZkK9TZGUeu5/vV0qFkAm5K/T5viW0NZrJAeV4PIEau5asvk64FlBXutLh29JgRXF+UrBzc40+Y1BZJeHjg9P9uNnrRr1DnZwH+KKfUVT8uxRC/M9uD4psglgPIqm6eGcKrx65B6NGCFY8jtdSQfP0bADrKnWMRBPpyQURuDg9SwhGllFTogWLlcBPH6+Ao2BlD69W8U/XXtvbWoxAcBk8LjtrgWH/8U4aOYp3PoiBCR8qCvNIHb4/3VNBoyhfa7KfK2B/60QnwpEoPj43BJGAi6ZyHSQiDmRiQdbPX4s2HPG3epUIeUohDBoJeTaPORfxREsRY4FotcH+XGiFXH/LBFWnWnp3xG5Rodahxd7WYnx9dxoHPu1BmUVJBvNKGQ+DE/PY90kXHPkKvH+6HwtLy9hSZ8aML0jzLUSXL32PSET8nHqJhFEJM7bWm1Ffqodazsfh1NlIEGOlz0sxzVxxOexkt0cuxM3eGfgXw/jX926Dx2VDJePj1SP3MOZaxL0hb1KgXCNH/7gPwVAUUjEPm+uSz426X6mMyYRvfWR9AfZsKsJvKftutXOUy2FDIuSioUyLmz0z6B7xIRBahk4lBFhxyCXCnPN92ajSqYk40zORSYX3BecDshdS0ovJhPTMpDuA5VgM/+PHTTmh99R3rqIojxar1Dp0tGRwNSjzt7GHiVTKHoSC/M2eGXDYLAj5XJQWZKqpE0a0UMdcC3hiUyG8CxEMTPjwsycqMgZJs9l7p3oygq/DZ/tp5A/rKgywW5OMdG3rLLTDUCTkwecP4kqnkzZjtbnWjAPtXbjePZMBNWLC6RLaIj/aY0fX6Bx5TS886sDgxDwOn+3HQiCEO4NevM5QwSMOTqWMmeoymaR1wx8I44VHy2HKE+GR9ZYVKkyJAAIuC2duTkIlE+HoxTE80VKcdF4SQU6cP9WoULTGMj2+/0gZTHkitDWayedGzLtRZ2RCkSheO3oXbQ1mLCwto6xQfd9aFLmuz5avREWRGjuakpoTRAVrYGIezVWGbzQcS9wLNUn7wSMl0CqE+OjMQKZIZprDlYr5mHIvIhyJgc1m4/T1iTV1IrIRiqQbtRNJ7Yzcz+HNRGjC5bAxvxCCXCpA94gXWxvMaz5ciSCSxUogTyHMGaBIRHwapf4PHrHBoJHCpJFhzLmAT74aRmPZypqnM4/l+v5cEAWlTIBwOAqndwnN1UY82WrLGFBWypL6Ybf6ZrG5WocfPGqnOSoBn8uY+Jt0MnJNmquMtBkpJlHx/+wWDAbxt3/7t/inf/on/OEPf4DZbEZRUWZh4+2338bf/d3f4b333sN7772Hf/zHf4TX60Vra+uavuePoW/o8wfx6pF72FpnAp/HRs/4PM1vtNTmZ5zFTMmFRMQnA5ftTVY8/0gpJmcW8X6KEIYqZJ6LZS29WCMRcfDup33gclgoL1RnQOWpjIBWvQRdw15c7XLhR7vLyC45kbARkMD70bfJNo9CJITDU3786W47FFIBJmYCeKe9F0oZH3/4rDfj86lD89nO6lAkirdOdGLn+gKcvTWBl5+vR6lVhXg8sWrSAIDWIblfy/V36VD19EJOenzD5bDJjlqpVY2R6Tk4UgXiXzxVhXdSHXD33BJa6kwwaqS4fM9JEhtk64JSg+Xndjhy6iUSlk6YYdHLEQhGMD27lPV5pq8PsXZKqQDvftaDrfVmnLw0Sq7x97bbaYVVovNXY9fCbpWjJZVE5WKwpPrWtVKHU+3ru9M4c3MCVcV5UMmEkIp4mPEFMTLtx+71+djeZEWJVZVxnbmo0nM9k29iuQop6cXktoYVgpeNVbk5Apje6YqilfnrUCSKN493ZYUyP0h7mEil7Ns6rARAHrKe+dCq4m41di28/iD4PA4+PjeEkekF3BnwrAnW5/YF8PvD9zCQghE+u82G2fklvHakC4OT82ipNeGR9fnkiyGVChnVzOscOtTZtagv06GtwYzNtWY4PYv47PJoTrpZ4iAjWJUS8Tgc+Wq8cbyLvKZdzVb89lAHvr/dDqmYjw9Tw/VU4oH0g5OaVLh9AYQjMfIFjERjqCnJg1EjI58PMQhbnK+E27eEK51ObK4xZTAUScWCNc1v1Dl02Fipw7rKpKq3VCxgfG5KmZD8vGRCEsRSKIZwJAqdSpxVRDlbRyHXek/PLuDinWn888FbJE2pey6I9RV6fHC6DzIRF1bDNwuwiCRt18YCXO+ewYR7EZ9fGWc88KjCiz5/Ugjwi6tja4akERCPeCIGrVK06lxXLkhkNiOSciZCk0g0DpGQB5NWin9PdXKdnmQn1+cPJrHuWbTYiCBSJOAiL8WamAsGO+qcwwenB7CxUo89my3oGfHjzI1xjEz5MwomxD4imMfSjSAaWQ3SQiRa1fY8EpOfPv+nUQgRTwAbKo3YWm9GVYnuvuQCCKhQdYkuI9BcrTL+n81eeeUVRCIR7N+/Hy0tLXj55ZfxwgsvgM+n75/a2lq8+OKLePHFF/Hcc8/hnXfewd/8zd9Ar8+E7TDZg0ykiL1GMOq1NeSDL+DinZO9JGnQ4xstSLBY2FBlpBV4siUX1HXPFTCuxrJG/Zx7g25IRHx0DnlRWazGf6cw+QF0RsA/31uFt052w+lZwtjMApqrjPAurMxbAcn3l5r0rSVIrbFrsa5Sh5YUsoQg1fEHwuByAEe+Gl/fc1LOvwU83WbDCOXzj18YWtPQfFLLcZFk2GsqTxbIVhNZB3KjIdZauMplhP/76EwfBsbnMOFeREm+Mvv1pATau4Y9KDIpEFgK42d7q1BamEeu2boKA57aYiOJJ0am/Vm7oNRg2aAWQasWQq+WfqN7WcvzJOzIuQH844Eb4HHZqHXoIOSxcOT8MKk79f0ddgxNzmdFh1DjhlwMlm4fXbIl2znKFDsQfml2PgS1XIAXdzrwyIZCRKNxxOMsDE4vgIUkvJRKTV9epGGkSl9Ni/Sb2mqFlPRiMtX354rbsiWexO9zOWwSyvzUltzC2d/WHiZSKfu2Disai2MhEMGML4it9WZUl2hyKjqHl2P47aEOEt6XDd7FVMkiXsxJdwANpTpsrjWTs0ZOT5KB641j3WvqEhBq8gqpAA6rKiXgmQk1cnkW4V1YgoDPhUTEpx3gT26xYdI1Dx6fi6nUNbU1JMVKnbMLiCXoit6tlMF7QpeiqVwDmVgAqTiZYO0/0Q0WOwGzVoblWAy1JVrsO9pJE0okBmGLzQoSC+vyZrbtmZxNtgrhuVuTq8I/qJ+nUQhxvWcGiXgcAgEvq4jygfZu7D/RBSE/SRObywgHSLAyEhAPgqa0tdaED073oaZES8JY6hy6b+Q4uRw2CWskWIay4ZK/vDaMrhEvekbnsf9ENzZU6VFjU+P5R0tRW6JFYRYNMoKiXyTgQqsSr5qIEGuzliCfSKapSXkrRfn98ZYC9IzOkV22pnIDEokknf5PHi/HxTtTaP96GGPOhazEGeHlGKLRGGodWpy4OJKTCWtqdgEWnQKTM4s4fHYILdVmvPNpL0mAQhRMNlbqsu414p6IfaaWCWDIk2StTlO7BQQMiNj/RPBwd3AWXcM+krQkGx0yYVQHlk5rTf1c6rX8nwTn+/u//3v88pe/hF6vh1KpxNWrVyESiWC3Z9ejOX36NDo7O/HLX/6S8ed+vx9utxt+v5/853Q6cfjw4W+dSJ27OY4J1wJGnX4UGhWoc+gQjcXQP+ZFnjI5y1pdkofBlA5RILiMTTX02ZpsgSix7rF4AqFwNCvBwWrVbQL2fqC9ByI+By/tLkPfmA91pbqMvUUk9fkGOa2C/ZMnKsl5K4mQi6/vTpP389wOx5qTfcK/sFhxXL7npBEC5eskeOtkN8oK1aSffHZbCfa22mjV8F+/fZ1GepBtaD5XAirgczNmawjL1WVLn02isu+Nuebuq4DiD4Rxb9ADty+EU5fHwGazUFaQqfkz4fbj9x/dS2p0NZjx+OYi1JfpYdKusDgSHa70xJzogvJ5LPz53kqUWJKfTwTLBrUIQgEvg9133DUHFouVkWRkSwrWAs1u/3oIH54eoD1Xh1WN+cUQbvTM4OmtNjy6oYBEh9zum10Vhsc0r5YO9yPWJZMRswv/fihTakLA5yIUiUKrFOFW3yyUMiEqivJgt6jQPeLB+VtTMORJkK+T4n+9fwcX7kxhzLlI7kEqVfpaZiK/DZlQrkIKE8W5QipcExR3tQKew6rCjnWWbyS2fD/2MJFK2YNIpF49cg9yKR9DU348luXFIvRX2Gyg0CBH17AXTeVa/Pjx8owkKteA7mCqwsDhJsXJgBVdBGLWiDgEsrX+iYNYIeWj1q6BQSOBzx9Ec7WZxs1/vWsKV7pcuN2bZBajwhjcc0E0VxlQYFKiQC/D5hoD2Y51WFW42etGz6gXe5oteGxTEUk8QLR0CX2tfUe7YNJIEIvH8OaxbiikAnT0ezDuWsCPHyvFoRSDjNOzgqMlHM+WWgMkYh5qSjRoqtCjskiTcY/U5/Hup92Mz3Ut8A/q70y6A1DLBUgkEthSZyHx4C7vEjaVa+ANhKCQJqFU+090od6hxbGvhrEYjKDWrmXUuiAcoCNfgXc/68XkbADNVUZaUusPhGHIE5PMhE80F6D969GsFPKrGQFrHJryo9Kmwl89W5tx4Ll9AXA5HEx7lnBvcBYvPuoAn8vCtDeMQ6cHsKHcgEgsypjICflcLAaX0VDKnIhQAwWmPU89wKn/vf94J272uCARcfGHz+iD7i11+dhQqYPDoia7msY8EXpGffjyRpJOv6lCj1eP3MPTW4px9Hwm2YvLs4hjF4ZwqWMat/tnsbXGDJGImzVQ3H+8E59dHsGYcwFcdgI/2l0Oe0GyEksQoBB/u67SyLjXyAAOSabIJEX6PP77j5qwa2MBClNEKIR554NQyoQ5Zwc8/iBu983mFL+kGuHA0gNRqhP3B8JkYEbdI/ejafa/s/3mN7/Byy+/DJFIBAC4ceMGuFwu6uvrs/7NP/zDP2Dnzp2oq6tj/Pmrr76Kl19+GW+//Tb57/DhwwDwrRKpUCSKr25P4ci5IShkApSn4McSEZ8mRl5dolu185ltzxxo78aHX/ah2CzP8EvplmufCPhcOD0BLCwt44PTA2iuNq06/0OFW1PnrfKUIpy/NZkBR1zNqEW+7Y0WXO9x4fkddnA4LCgkPJh1CvgWgpCLeKi25eGne6tIMWCVLLkfiATg63vTOYfmR51zkIoFCKYS0LbGfFSXaMjnvP94J764NgqtXAhdGqtutoo8VVuSmE16/ZMuyERsnL89xTgXk8sCwWW0UxgQR6YzfeP+4534+NwgNlYZMTS1Ihqcvl+onZoauxYttUYa1fyYcwEHP6cTXzmsKmjVQrx5rBsVhUo8st6KWDiCY5eGMTDhx8mLw3B6Aqi2achryVYUW83cvgC6hr0k1PWR9RY0pkgfau1atDWYUWPXfiMYHnXvUZNnkybpl5jW5XavC++mfBvTO2m3KMnPIfxIEsGwQrKQro9G3YMKqZCR9Io6ExmKRDE67f/WZEJMhZRsMe79QHFzJXfHLwzhN+/e/FbXvRZ7mEil7EHQzC4Ekkw2O9ZZ0FCaCd2g6q9MuBbxX16sx2ObClFTosuAd3nngzhxMcnod6N3BnV2LbkR3b4A/u2DDrLCQK1gUWnWiTmlbC8AoagtEvJw+d40XJ4lskLSUpcPLocNp2cRfA4HX94Yz4AxzKYgZgc+7YHbt4Tff3wXXM6KqC1xoA9O+nG9exbbGs0ZIqdN5RrsO9oFe74cMgkXIi4XAgEXi8EwGsv0GJryQ58nhkUnWxFKpOBoiQ7XrV4XlBIeik1KjEz5ySoY9cD7k12lUEj5eC1FiMEEX1vtcIzG4hAJuBie8uOlx8rw9skeDE/5UV6oSArrepfw0m47bvZ7yYNxQ5URQj4bx1LMjCIBByNTfnx5fQwjU34S9qGS80kHOBcIoc6hw6Q7gCoKvIVwElaDFBWFKihlIhQY5XgnRRXq8i6hoVSTlaI7G7yQYNjbWJVZMfUHwlDLRejod4HDZkEk5KM4XwGpWIBDpwfw/LYi9E/5ce7mRFaHH12Ow2IQgc3ioKJQiZ8+VgGzXk5W5QQ8YMa3RFKuEmtDdEyFfA56R30pYVEx4olkwv2j3eUYdy3AoJHAYVHih7sckEuSVLsyiQA3+2ZIIeqf763CW+09cM8FMepcwLZ6I+KJpOaS3aoiA5l1FQYcaO9Gx6AHo9N+dI/44PQs4c7gLP7HT9aRMFiqEXBCgoHzeo8bV7pcZFJnz5djfaURm2sMaK23MO61Cbcf77T3JokwJubw2KZCmnDxwVO9tAom4YTYrDi21udje1M+I8mNTCzAwIQvY36SyagOjCkQFfC5GfNabl8Ah073r9pp/N/JnnnmGfzLv/wL9u3bl/HvZz/7GV599VX8+Mc/JhOps2fPQqlUZk2kZmZm8Ktf/Qq/+tWvyL9Jt/Lycrzwwgv48Y9/TP7btWvXt+5Izc4t0aCurXVGmr+RSoVQSIU5tWpyGdER3bm+AN2jXrQ16GHKUyAai2UkLkxD9+lWbdPQSCLWYsTs3+JSBF5/GHMLYRQa5CgtUOaci2Ey6txGbYkaMqkALm8IJy+OIE/OR8egG4GlGE5cGoVYyENTuYFxJtNhVaGtIamzxFSNJ4pmiUQcMjEP1cV5EPDZqLUn/97tC+CLa6OwGpJFNaZnxlSRV0qFCAQjEPA4eH6HHe+0J4uez2yz493UnFKuuZh0Ewl5OUWRiaSAIAj4/362LoOcgmpE4fBAezcOfNpDojSyBfTEPSkkHETjLBxo70FLbT66R+cQCC6je8SHBkceJEIO5gIh2uwP8RnpxEPZLByJ4cTFYXSP+CCX8jEwPk+jIaf6zm8DZ6bC/Qi/lL4uoUgUztkAhAIuZnxBbKk3o8gghZRSwGLyI0zvca6OEBPpFRXlwOOys7IrrsWyxRzE7FQgtAweh43aEs19xWK5bMw1BwGf+52RID1MpFL2IIQPX/+kEw6LCneHPBmDbaPOObx+bEV/5fHNBSixqDKquoSJhDyMORdwNDWY3lyz8gKsphpPvOBFJkUGdSf1mg60d0MpF+Djs4PYuT7Z1UjvFkjFfAxMeBFPIAPG0FxlIAdLr3Q6aQHXwVO9uNblRGWxhobDnXTNIby84mBl4qRYaNs6E0amFjExG4A/EMb3tpXgvS/6IZfy0TMyh798thp7mgvJg6CsUE2KC3vngxh3zcOzEMU77T0Qibhk1ZX6PK51uXDoy/6cFcJch+PxC0O4dGcS0VgcsVgCIgEH9aU6jDj9qCnRYG+rDQ2lGmhUooxBzvpSAxZTw64/f6oK7ZdH8PimohWWNc8Snmy1IZIS261z6PCTJyqxoTLJAEkktYSjGZ1exA93lSYTr/klVNpWnnO2Ac0j5/oxPRvAyPQ8I7yQiWHvnfYufPRlP1yeAEadi9hUbcRbJ3ow4wlAKeGhwKhAWaEGX92ZyOnwzTopTl4cgUTERiQKvHmiGxatBO+f7odIwMW6CgM+OjuADZS1qS/VkQdhLB7HpY5pFBqkiMaBSx1TqCnRomt4FmIRDyopH4uhGA609yKyHCMFGLuHvfj63jQ2VOoxPOWHLV+5koA3WFHn0KHQKEMkEkWdXQO1IjmwS+g9NZXroZbTAwimqjbR1bvZN8MokH3+1lQSpicXkQUNYq8Z1P8/e+8d3NZhp4t+KEQhOogOAuxg76QkSqSoZluyJdmRHbfE3pS1N/fe7Nvse/PuJDuZfXfevLmzezebezNJdtdJbMu2bLlb1ZJlWZJtuak3VrF3ECRAgEQHiPcHeA7PAc5BkWnf3Lv6zXisIUEAp/3q9/u+XPiDEejVUlLSYFOdCU/cW8G6f9JarcPzh7uhkApgNcjgdPvB4/FwrW+GhMVQrbZEC5NahAc7SxkTSurOHxHAtjSakyCF1AAbiy3D6w9iOYqUYsn/K9rjjz+OZ555hvE/LpeLo0ePYv369eSu08GDB9HS0sIK7Xv11VeRm5uLffv2sX6mUCiEXC6n/be8vPy1d6RSsYNSIV9Adnsk5PdeSdycHj/W1+pxpc+F/cd7EI4s0/xAKggb1ez2BXhXaMozNaK4V0gF4HI4iEZjMOTl4qldVVkfDxBvLG2s1UMuFWLcvoTTF+K7o3s74tILhKzGzLwPzZUamr+nio8TMSixOUWdGk06vPj+ThvKC/LIIgqIx3mtXIRXP+hjfG/CmJLDMfsiPr8xjariPMhXGknFRinyFLkpdQ2ZbP+xLlztd2BHqwXPfqcuKTZS85ENNcaURRTR/JHn8vHhxXEaSmNTnTkliy2XxyHPmVzCh06di9MXxlFVqIRcJkT3iBunL4wl+V+mIpdqVJTDwqJ/hV1YgKFJTxLlfOJKAFtiTn1dIBTBjHMpKdcj9paisSjJsEe9LnweF4NTbviDYajlIsilOWirS26UMeUsqfTRmI5/YtaDDVUGcLgxVBTmkTqI03M+bKg1orFcRytqMoX5pSJJEoty4AuEoFPlxgtXiYDW7KfGx2xILwg2wmAoguYK/bdCgnS3kFqxtZhIuTwBfHlrBp2N+UkaAEqpCA6XD5f7ZvHkveVY9IVx9NMh2kiaatf77Sl1ORpsOmys1MBikpNwKmIxXSjgIxJdhkjAh1jAhVopxukL4/AFwqQjIRKi2Xkvmiv1uNo/i9YqA2NxZtLKYFCLUGZR0JjFxKIceP1h3Byaw6Y6E+zOeOfPrJPgT4e70Du6AK1KiJ9+tx5bmq1452wfukfcSR1Jm1WFJX8I3cPxDtPlXgcEfC4sehl6RlzY3BifABAPEwE90qlyYdHLIJMIIRLkkBpPRMARCvjkw04s7BNds//yzHpykTjRfIEwguEoo2bDX+yqxIvHezA85cGkw4vv3VeGaDSGN08PkILHTIucQBwasL3VAoteHqeqphQOP9pdjq+6ZklI2NbW+N9QgyaREIWjUTy1swK1pTq4l4K42DOLzkYDHt5aylpEebxB3BiYw+SsFydT4NwDoQipLfHRhRG89/EQdm0oxNS8D5d7HeDzuCg0ynG5z4H60jy0lOVhdiGAuhINPrk2gYc6inGlfxYVBUrad4/fbzfw2PZyEgLpWIgvHjeWa3H882HUlWpxY8CB791Xjr2bS2lJ/QObitBcqSMhlLfH3VDKcvDoDhsayw3wBSJJemlqeS4mZxchEedg3L6EYrMCj91TQeLCCTt6fhBOTxBX+hzQKEWw6mUIR5YxNrOI8gIlHt1hw0OdJSg2K9Li4CsKlOhotNCWZ1PBFN4714+hKTcmZ5fgD4bx+soxhKNRNJdryY5xYvNkc6MFHm8QbTUGqORiDE8v4eAH/chT5iJfK2FMUKUSIWNnMBGLTgSw8gJ1ErkMlYL4h7urwOVycfriWFqx5P/dzOl04quvvsK2bdswMjKCf/3Xf8Uvf/nLJLIJwv7u7/4Of/VXf4XCwsKsPmetyCaIwqCuTEuDjSUKrgKZ7ZEkWl2ZFro8EXIFQpofpk7H0zUAAeD0V0O4fNuZFUyZiGXeQBh6VS5UcgEqrCrEsJoUAtnveLx9ZgCnL4zBoMmFWSuD3elDVaECR86P0Bo+nY3JCIl0pqTEiAfaC1BhzWNEEejUkozfm+j8U/1N97ATv/hBK9pq9WgoN9L2YjIxQopi0uFF97ALG2qYCWpSaVYRRmVvm5r3Yd+WYnx2YxptNUZcve3AxlpjEskJ2zkrMCrw6I5yxGIxdDTEGXOPfzaCkelFSMQ8/O0TjdjSbCW/P1shSuYSajHOXBzHn450o6JIhYc2lyYVUalWLahGvM4XCGHRF8LHVybxQsJz5nT7yb2l7uEF/M1jDWivNyRdlwKDHGUWFQqNUmxkKKIIY7qvM3mOj50fQiAYxv7jvThzeQKj00vYWKXF22cHcaHbjke3leHBzlJasbYWMgKE2ayqJGji9PwiFCsQULY1DDajNiim53x48r4yPHYPOxvuWtndQmrF1mIi9Zs3rq3w+ItRYJQlLTs22HSoKVahOF+Jz29Mo2fEBYVUiMoiNWJYfRicbj+eP3oLTQydbcLOXx/DVz1zePFoXNh3Zt6L89en8MLRbrg8fpy9PAa/PwhJroA29SCgbEQXUSjkY2zGjW1N+Ri3e/A3jzUwOmtprpBxEbKuTIuOhjhTHpFwUanEq4vj2PXRmQU4PSHWZX0Cq0t0/mbmfYwwKiJIeANhyHIFJEX7+hoj+Zk/3luBgYlFGjaWOu5urzcnLVIT9uZHfbja5yCX8okuSvy4Y+gZcdKmGg3lehoemXAWbAGLcCRWgxz2eS+urxQOBSYFXjzaQ0LC2OB5DTYd7PNevH12EMFwGAqpAOsq9fAGIlhXzS5a5/EGcfKL0ZQ4969uTePs5Qm8eLQHOqUIb54ZwPpqA+wuL670OZKuS22pHp5AGOUFeZBLhZhyeMkJauI9RJz/kekF1JXlYXd7MdrrzNjWaoVKJoDHG8aNAQf2dZbQ/pZw4FNzSxiZXsTlvtUpZ1O5DuuqjRAJ+BiacpMQPqruSZFJgYnZRfgCEZKmvbVqlWjB6fbjYs8szl+bQii8DLVCjNMXR3F/mxW724vQVhvXmTr5xUhGwYMI0tSmBxtMwen2Y3rOi0h0GR5vBO+eG0JnkxmhSJxc5Q+HbtECSGKy0mDTQS4RADHQoJ2bG40ZL5MzCU7yeVzaXqVQwGekIC4yK3Htth0lZiUudM9gR6sF1247sL7a8I0JH/65WG1tLY4fP45f//rXOH78OH75y1+ioqICAPCb3/wGw8PDqK2tBRDfnzp69Cj+/u//HlxudtCStWTtO/TxENkdViuFrIKrmRjTMr9CKkLPqIOEODNNx1Ml3GOrGxPjAAAgAElEQVT2BQgEOXjrowEopEIMTrrRUKZOey9Tl+6byrV45UQ/mRQSiXNi8peuqCISspEV5rPHtpdiT3sJKou0iESW8eWtaTzzYDV2bSxGIBRBS6Uha/HxBpsOrZUa9I+5UyaLTMLmiZMRaue/qUKf5G+o1zYboomLt6ZJke50U6x0U2gqe1t7vQnf2WLDzJwXF3vs2NtehMqVnbpULLaJ8iOVRXmQ5grQMzIHo0YK12IQtSUavHVmAIu+AOZcPujzpIyFKLXgvGedhWxiTdi92N5oxFIwQk6RqEywbKQhAL1YFOTwUFOcR2vwbazSYsEXgl4tTWKyY7sufB73jvQY093jxPFP2BfRXLmaaxbmK/D8kW7MzPtwe8JN+oa1khFIPDbiXv3Jvlp8fGWCLDqtellK/blEO3CiB1d67agt0UCnEuPBzcWoKUkmqvkm7G4htWJrMZESCXiw6KTIyeGzjpKVMhFiAFmF+wJxRfD/9spl0sl7Fv1wLbFrS43PuuOdv5XOvjCHh1AkDn1SSIXoHnbi+/dVQCEX48DJ3tXuWXM+DSKoV4tRmi+H1x/FoU+GUFuiZRUSpp0rBj2J0ZkFGi1pIpW4UirCzcFZGDVS1o6kzaoGYjHaXgjhnBOhR+FINIl6u6XSgI2VGtyeWCJ30SYdXmxpMmPGuYTNjZaUMA+PN4gvbzGL1J67PII5dxDDUx60Vmvx0OYSbGm24vCngzDmSRh3T9IFrAabDusq9agozKN121LB8whHzeNysKnOhNc+iCcNw1OLtI5PImRHImZmYyQsEIrAGwiTGHqhgItSsxKX+2bR2ZQPm1VFC8yEoB9xn+frpKz4dsLqyrSwGuRwuX0YnFzEy+/Hu86b6s3xwrNcSwZTqn16bQIcxBNBYsr514/Ww+0Nk8nRjtYCVBaqsb5aRwv2gVAEb3zYx0rTLhblYHDShcaV4u6zG5OwGhR45UQfotEYCRFkCx6ZdrmZ4BdiUQ4WlgJweYI4fWEcHl8I+VoZmsp1ZMMhMYAkJitiUQ7ylGLGCWgmRhWcPH1hHKFwBGMzi0lJZ2KxRXyPisI8yCU58PjCeP/zUbTVmrKGUf2vaDk5Odi1axeefvppPPXUUyguXvXRGzZsIIsoADCZTPjRj36UdREFrF0hldgd/k5nKY1hLxUcK9FSLfNb9AqYlEJ0NJlZfRhbwq2QinBrwA6jVgKzVopSizxlF55qxNL96LQH66oNtMQ5kSAIiOFf3rkBtVwAi575nFL9cXOFHpubrOQzaLOq0FCWB5s13p1/6XgXdGoxyizqrAlXItFYRskiNZFOnIxMzS2S+QQRs2pLtV9bjsDjDeIfXr4MxJbxoz1V2FiXTB6RrVF3dZxuPw580BuH950fIUmY0llig5HP46KqSAOdQoDt66z44+EudNSb4PaGcfrCBLz+EJ7eWY7O5tX4OD7rRp48l0zi621ayCUCSMQ8/PS7NThzZRrPH+lGOBrBpR473j03kLQSwOT7qcXiumo9pLkCyCQCmDRi/PSRGpy6OEVOgX+wuzqlJABhVFmPTPa8AHZafOp3JnKpL7vsuHeDFfu2FmNzoyWlGDOfx6X9rqUyta/PBCpMxEY+H3jhSDfMmlxsbcmHJIeDKDi0YpMt3hL+bXDSg+piFXL4fBqj8TdtfxaFVKbihj09PXj22Wdx8OBBHDhwAL29vWhvbwePxwMAvPnmm/jZz36Gl19+GSMjI+jo6ACHw8noO6xFwJpyLEEq5tMYwJhw4MfOD8CklWJm3ocHNxeTituCHA5mXV7cGl7A9QEHvru1DFajPOnvL96aQiAcJnG1rVV6WHQyqOQiDE150Nlkxo1BB6QiHvR5udCrc7GpzogH2kvI9/jgi0Fc6Z9Hz7AT25oteHhbWUYJEJXJpWyle51ItUpYIr0z4ex2bSxihQBUUgTVVs9XMvSordZIkj5Qi4L5pQCeP9KNmhINAqEontpZhs9uzpDfLxXt88JinIUwsTCamluEMCcOHRye8qBneAFbm/PB5XLwm9evkRosj+6wZR1oiKDp8ca/G7XbRhSs1KLoSv8sDBoxjBopTl8cp0EqievHBNkJhCIYm3Ghs8GCfH0utrZYaQ6Jz+NieNINSW4OJGIeDHnS+D24LQ4XTCwEErWa7m3JR2QZrBNU4jpOOJZgMcgZl57ZKH7/2yuXoZQKUGCUk1PO9TUmcjJZUSCHTJKDE5+P4k9HupMmiYFgvFnBVEACQE2JFp/fnMGpC6N4Ykd50k6CSi5mnCgRO3NqqRBKFu0wqjExQL579jYUMgHMWhkEfC66hpzoHXGhsykfVr0Ef7m3BmadjPybxETN4w3C6w+jrc6Ute4WYUqpEM+9t9pFTVwsFgn4tGKLChEG4olx/R3s1ty19LZWhRTbAjpVcDUTS0UIQJhUImIlu0lnRq0MV/ocOH1hHGatjLbrmsqIpPBizyx2rLPgu9tLyekDtev91P0VOPrpMBptWrx7dhBefyhpd4NIXBOnH4QRhSQHwGc3JlFRmIezl8YxObuUkcYcldlULMohE9O/ebQOPD4npYQFdeIBxDA5u4TXP+xnjAPpztv4rJuEUCUaFcZ7pc8Baa4g7bOdqQ6RWJQDh8sLLocDlVSAo+dHSChWKjbRdCaXiiDNFUCjFMEbCEOYw4VZF18PUMnFtPhITD0e3VGOXRsLUWxSosGmw8iUB0qZiJxO1ZZo8OFX4+RKwN//eB06GiyMhcr4CsEBQS6yvsYEq16OykI1BibckOUKyfe1O31oq9ICXA7pz5kKpf3HuvDRCilVqj0vqhGNg0h0GQqpELWlGniWgiRxE/U7E3G92KSkTS3ZfMPozAJePdkPuVSAwUkP6kvVaZ/1TK4nn8eFQiKCMAcQCgV448PbiMQ4tGLz4yvjiC2HsLgYocVbgkHW6w+Dx+VAq8qlIZvSTbLWwv4sCqlMxQ1lMhkeffRRfP/738cTTzyBQ4cOweVyob6+HuPj4/j5z3+Od955B8888wxeeeUVACDhFulsLaB9//jyZbRUxaEEBANYZaGadhEdLi9m5v049dU45FIBbo8v4IFNRRidXsRPvlMHjzeO9QU4EAh4SY7ZPr+ESz0OiARcNFcpsaXeis5mKymuuqPVgvXVRjRX6GEryMOFLjsOfzJEBgYg7vC4XC5GJt0QCnOw/3gPAsFI2geUoPGuKdIgGI7iufduor5Ug/3HexCJLsOokcCQJyIZZ5i6+HJKwszWXaD+jArlC0eiaKs1kpOpy712hCPLkEsFqC3RIBCKQKPIhdPtx5U+Bx7dXop8nRwfXhjFvesKcLV/FjaLgvHBJ4JjiVmOhzpLcf/GQtLxynKFuDloh1Impk2MhAI+9Hki7NlUApmUj9L85J2jTIwKyyAc14ETPfjwwghJXeteCqKiUI2Pr0xCJhbgxBejmJn3wRsI4//7qw0oNMnj7GxjTrz0fi9ZmJdZ5OBw4s76y1t2vHi8B3mKXMZOUr4unriUWeIww0mHFz0jLhIeQ70uVPjm1uZ8tDdakoT1qEZcx6FJD6y6XKgzXHrm87jgcoBTF8Zx3/oCPLK9hGSUFAl4aLblYX4xgq5hFyPDHAASY07Q+SfahMOD5490Y8y+BB4vLmCYCAUhAk6+TkpCiT6/Pgken4fXTvVjObqMisLsrj+fx8XCYhBOdxBqmQCbao3I18twa2ge+zYXw7kYwkvvrzYoEhnP3jnbj2v9c3huhfVxc2P6IoqtiyoXc/HQ1jJoFQKUWdVJRaNSKsThTwZw77qCOKFGuS4pOP3vDuf7n2FrCe2zFahw34YCWkKcDZwPoBNX/KdHaiAS8hkTfzadvnTmWQqSRb3d6cP2FkvG70M8oyVmZRIUivhdmUUFpSwH750bYkzeE6dt1Fjh8Qbh8QZXpz/zPvx4TxUOnupnJWsizG5fwNvnBpMajoFQBK9+0Itn91bi+pAr7W4YdeLxw91VeOP0bfgCEVQUKJGnEEMuFaC6mJl2nmrUYiLxs5hgvK1VBloRmNjQyYZy/M2PetE15MJz791EZaESWtWqxmQ6fbtMJn45fA6ee/cW+sYWUGSU49mHqtDeEPfjiTtTLZUaktSEaA5SoW7lBUqSMbit1oiOBgtjbvP6qV5cXZGHIUR8CZua8+CFoz209927uRDdIwv4w6Fb4PNi+OLmTFKhRDQtCA1Ctj2vRIQQn8dFqVEGqUSAruF5zLn8OPnlCCvzHlvBzeQblFLRCiFSfHedbep8pyYW82nXp7VKC32eFIFQBJ7FAC72zmM/RauTmjt9f1clmit0cLoDJByViVDsm7A/i0IqU3FDPp9PTp/C4TCOHDmCoqIi1NXV4a233oJWq8XOnTvjAm1CIY4cOYI9e/Zk9B3WAtrH5QAffjVKamnk8IGmCnrC+uGFUYQjUejUEvSOuLCpzoTHV9i59HkSEv7GprnD53MxOLmA984N492zI/iq205W3Hwel3yg+DwuK0sSn8/FrYFZrKs00bSPUtFmA4Q4oA+upQCu354jmbvqyjTI18nw+Y1p8Lhx+nMqTTjTFCDThUUiYZblCtAz4oJYyIfNqsLU3CKee/cWhqc8cCwEEIvF8E8r8MhHd5SjvlSNpgoDpmc9CEVBqsYzPfjULmscCmhKYowqNClhUgrR2WJGY7mePM8fXRzHS+/3QJ4rvKMRMtNCZjAcxe/euo4n7ynHGxQ2tHXVOrx4tAdTc15SxPnBjkLcGHDizKUxLHiCkIv5EAj5EORwUF2cB5cngHBkGcFABC+yLIEnnu9EmCEb7p8Ju8+Gbye6wtdvz6GpXI/2ehM6GowZTVBsVhXuXW9FoVFBe/8px9IKDK8XOVygoVzHGJCJIO/1hxmvERXKUF6gJtkSE4/79VN9tD0EtVSIt88OYF2VHie/HAViMVRmCaUZGF9A36gLFYVqrK8xkQlfNLZM00prKteQ+nB2pw/ra+JsRNl03s5eGkP/mAuTs4soMtHFkz+5NoVXT/ZBJRfj0R3l2FitQ55KRCZOYlEOJmeXyOeIChEm7OsINt41ZlurQorwt8a8XIgFPPD53LT7E2y/J4grvrhpZ0z8Uy3lp7tHqIXCnSRBqd6bz+Pi2PkhHP9sGG21JszM0yc4RBxQSAVoqzVALOSS/obQf5SI+TDmxRP/e9ZbsK7aiEAwkpKsaf+xLujypHiZQaKCz+MiEllGgV6B/Rn4Z2AVHldiUcG9FIRRI8EnV6dwc3Aes04/2uuMKf0AUzGhoBBWJRYJBIz7xaM9WI5FcaHLTmvoZDKlJMzh8mJoctVvaVQSXLvtgM2iRPeIEx0N7PDBTKjzgdUm39jMIorNCmymxJhoJEYy4yY28Yi/uzE4j/XVWjx5XznaavOTqMOpE84f7akCojGcvTLBCh8nyKeo71tiXtV/2rmhAG+dGYBYyEdjuRYKMQ9SiZBsWiRqEFLjUiIrHvF83Rycw6FPhkhBaCY9SjZL94yyTWoBYMbhgX9lmslkTrcfHC4nRfG2Gou/s6UIBQYFnIs+hCPLyOHyyGfEGwijpkRF7nkSudMnVyfx7rlBbG+14Ps7K76VIgr4MymkshE3tNvt+N73vod//ud/RllZGX72s5+Bx+Ph+PHjMJlMaGpqAgD4fD4cPnwYTz75ZNJ7fFMK8jarCh0NZtSV6qBRipOKKI83iF+/djWu/VRrwGP3lNHgB0BcxNCoFMJikCMcWU5yzHbnEoYmFuJkBWkqbiaWpGPnh/DaBz3QqXOhVfLB460KjBKChmw3+emvRvDR5QmUW+Pdr4XFILY2W7CpzkQ60nn3alFTV6rBXz/WkPTQBkIRvHS8C/euK8BnNybR0WAGn8dlxQBb9DLS6fiDYbgW/Rhe0YqadfnxUGcJ3j07QBMW1ijjhRCHy0lLuZuKHpiwY+eH8PyxHoTCy/iXt+Mq4wpZXGk9cRqXjTFBboifXem3o65Uu3p9mqwIhMLIU4hxc3AOT+2qQFWxBn9a6Vq9dWYAGqUQCkkOtrdY4fT44VwM48MLY7AaJSmXwBONqUhismyWYKldYYlYkNW5SpQSEAn4+MeXL0OnFECrlqCt1oCTX46SAbnZlodlADcHHHjjdGpqbo83iEKjDJ1NJnQ2xYlRLHpF0msSC169RgqpiINDK1De0ZnFrLQqAqEIfv3aVUSXY7jUO0vqlTAVs1uaE5jBGvLRN+Ykdw7TJZ2BUATnr0/h+GcjUMpFNMjUmH2BpG+WiHmQinj47BY9SWZryozZFzJWob9r2dtaFFJU4XVpbg4u9cySnXOm/Qm2a0mFGM97/EmFvlImwmfXJvA2A7kRkHnzLJXmzdcx4jxIxTnYs9GKezcU0KBL0lwBOJxlKGViHPp4CJGVHUmq/uPo9CL+r+81YXtLPm6Pu/G7t66jsVyDx+8px6Z6cxKRBkFa4VkKoLIoj9H/2qwqiERxny8R8/DM3hqUFaRuyBDnlJBviMWAeXcA7fVG/Nu7N1OeY4WEmVUWWC0SItEofvJwHUwaKY0JbUONManB+8XNKRgohA5M8ZMwiViA7pE5mLUyeANhbG0yQy4RkmzHbPDBTKnzCWOKX0SBv6lWh8fuKUvapeXzuOTfNVUYaROZxMKUiGVScQ7ePXcb+XoZ6/4x8X1aKzUos+ZBq5LQcrNCoxSlFgW0qlwc/2wEkWWQheLI9ALKLSqo5Dl4bIeNdjzUmETNuxpLNXj+eFxq5+bQHDbUGDHp8KK2RI3/vKJHyWaZPqNMRf47Z/vQNbzAWuy+erIbX60U4anev8Gmi5NyLAVxuW8Ohz8ZAp8HCHK4caboQBhtNQb0jiygyCRHZHkZT+2qgEUvxz++fAmOBT+6h53Yt7X0W2vsfSuF1FqKG0qlUjzxxBN4+umncfLkSfB4PNhsNnzyySeQyWRkIWW323HmzBnGQuqbUpAH2HUjgNWkuW/MBbNeiqoiDTzeYHJiL4nD35gYjuQSIW4MzGFuwY8HNxdhT0dpyu9DfQ8ikOzbWorXT93GoU9GUGyS4dmHarCl2Ypj54fw+7evMy7hEjpYezuKcfTTYQxMLGBHiwWBcBQHTvaRGG2iqHF6AhicdGNPR3HSzcznccnudnuDCSVmJQ6e6mPFAFM7QM/uq4XD5cfJL8bI3aQHNhXBrJVAJOTj0MdDtMkDUzHJBA9gg6URHZR/fPlSkl7Wvq1liMWWk6Zx2RrTQqZanoOORgvW1xhpWOUCgxyHPh5AR50Zpy+NYUdrAdkRfWCjFXOeEOYXgrCacqFVSHDgRB+2Nefj4KkBmDW5+OHuKjTYtEn3ZyJ2H8iuSMrEAqEIRF8T/kV0RoOhCBpsWhz+dAT7OopgzBPDH1rGhW47trXkY3ByEYOTC/jo0jhaWDrFAHD00wFcvz0Hvz8Ig1LMCL8BmAveQCiCJV8Y4cgyFhaDaK7QodAozRgu5QuEEQxF0TU0j20tFppkwjtn+2BQi7CrrRA8bgxFZlWSP6gqykOJWYF711nTJp0uj5+WiGxpMsO56IdCIiI7phIxD0/vrIJkBe5LTZJNWnnSc0TodXAAvLPyzH/Twof/3mwtCinCf9aXaXCld5axc04kUEqZAK+t7AhSf5+4d8lU6DtcXjx3+BaNGpy4L9OxfSXCk1JNVIjiHWDeK6Ea1a/xedwVeQMJesY8OPzpEGQiPqwGOfkdF31BUhTc7vShqUJD03/c0RqfQkWXY2QSOzq9iD0dxRAK+GRcIY6HOE9fdtmxtdmIR7aV0hAN1GtE7OiwafGxmUQsQF2ZFu11RnJ/Kt1z2GDTse5U2qwqjM0s4tWT8e+xpWm1ifPwViu43NXma0m+Ar998wZciwE8saMMG+sM5DSKTYi1uliDfK0EgVAU75wdRGWRCv/How2MRRTxHplQ5ycaNX5Rd8sGJjzY017CWuBnEvecbj9kK1Oj3lEXXB4/7m8rxPd2VbIWKkc+HaZNj4hr0FplhlYpTioUXUsB/P6tmzhzeQJ9o25sa8mnxRZqTKLmXYKcuHTM5b5Z7NlUhIe32cidrUxY/O7Ejw9NLGBhiZ2V2en24/3PR0jf41jwo63GwPqcLwUi4PF5ePVkH9pqjDjxxRh6R114dFu8+fHRxXHcHJzHAglzH0QoHEETg25UtgQwd2LfSiG11uKGQJw1CQCOHj2K3bt34/bt25iamkJnZycA4OrVq5iYmGCE9n1TCvKZGJE0j814cKXPkXZUzXQDxNnPJKgpydzRAnGsrkaRi4UlP8y6uC5GqUWFpgo9Yoh3bOrKtHj7zEDSEi6hg3Wxewbrqg3gcoCGMi0OfTxE7ur81/+wkZF6NdGI7lIkuowdrWaEgsvkgr83EEZdqSppWkHuqGhlZEcrrvOjQlutCSIBj0Z+QIUXUBPQRHgAFcsvzRXSRs9EB4t4QC/22NFeT4eEFBjkpIM2qEUwanNTLguzGTXg7D/WheePru6tJTpP+7wXXcPzqCxUo7Uqrg1isyigkInw/JFuXB+Yw+WeOextsyIS40CamwN9ngSfXpsCh8tBRYGK5sDYyEKoRiiFZ+JYmaaaTJ2ubFiIgGSNiCfuLcN3t9tg0skhk4rIbmJNiRa/e+s6hic9aK7Uo3dkHn9xfyWNbAWIB2mnOwBOLIoZVwh6FvgNYYkF7+uneuHxBsHn8xCNxpCvk5JY/HR24EQPjp0fImnlp+e8ZOAipAJe++A2jnw6jP4xNxmUEv2BUMDPaIeEmog8eW8prvTN0XYkiCTuk2sTyNdJkCsWJHXPqc8RdYo1Pe/D7vYijFHYNu/a2thaQftsVhUMGgns896kzjk9gVrEQ1tKMELx38QOYSJVeiLERyIWYGbOS9OCI4xNAmBmbpFGy56qEeV0+/HG6X68cLSHda+Eakx+LYfPAY/HxQdfjqKuVBtn9lr5PZ/HxdCkGwoZZXLfZCX1Hx/dVobvbI3nJGzUzh5vEG+e7sfvV1ALRMLcVK5Bg82AownJNNUSCXyouzBsRQnVxKKctLGXalQ4H9VfM0H12hvysbFSA48/ho8ujZFSBxur9YgsA72jLqjkIrIReeBED94+0w+VVACTVpb02dHlGH6/IhsyYV/C/RsLk44vEbaWTquKehyBUIQm4cAGGb2T4iERuupeCkKvysVSIILSfOYpi8PlJfMEAtFw8FQfXji6ylybWCgyseclxkwiJtWVaclrv77GiEd3lKOmWIWmlV3oTGIE2zOaymbmlxAKR8GJRTE842FlZV7yh7CwFIRSJkIkuox1VfokiRmqSXMFuNE/A7UiF9cHHNhQY8TQlAcAD2+dGUCDLR6bKwpVJEx0zh3EX9xfgYe3rX73TOGgX9f+LKB9mYobjo+PQywWg8fjIRQK4Y9//COKiorQ1tYGrVaLX/3qV3jwwQchFArxD//wD3jggQdQWVmZ9HnflIJ8phYMRzExu8RavWdi2S4JE91js1aCfVttmJlbwrpKPfh8DupK40GEixjJOJi4hHvgRA883gAe3V6Oba1W2AqUeOn9HqyrMmDW5cfmRjPaauMPDhPVM9WIpM6okaCxTI/XT/eh3qaDNxBGa6UeLxztoT1gVOpzYLWjtautkHSIqeB59vklyKUiWlc+HI3CPu+lOUTq6NlqkJIMO1NzPjzzYA12txejpdJAS6aJgGpQi6CUibMSkmQyaoJKZbQjzOHy4mJ3vKuskolQbI6zOsokwiSRxzJrHtrqTFDk8jHj9KLYpIBIyEVL5er+ELU4YcPmHzjRTVukZRrJEwUok94SU7A6cKKHMQmasS9gwR9KUoF/6XgXbg7M0YggOpusSUFPJhEitvKZgxNu1JXl4fs7K6GQCRmLkJuDDtQV67D/eGr4DfVvgHgAee69W7jaP4dioxyPbCvNmP2MgGRMznmxtTkfcwuBBGKH9FIB2ZrHG8S7525jR6sFRSYljZmwpVIDbyCMPx3uwuCkB95AGE9sLUFHU/I5oOq+ef0h6FRi7N5UiPs2FH1tuuW7lmxrSTbB53FRV6ZNIl6hJlD7tpZiT0cJ7VqmokNO9BWpZAwS48L+Y124MTjPShJDtZeOd0EuFZBsn8ReCdsCPptfk+UKca1vBvVlOpItd8a5CkEsNCpQWahGR4ORjCGE/mNTAkFPYmPlzMURjNuXcPrSOMqtatwcmiN3fpQyUVqB0o8vj0GnXiVe6KAQD2VSaDKdY8KoUzyqMTW42GLp3EIA565OQp8nwckvx9BSZUBLtREtlQYamsPjDeLtM/2oKMzDm6dvM8bDdBpDbOeKLUcijkMk4GFgfAEffjWWFK+YIKPZFg/UyVZcD8uIf3zlMs5cnkDvqIuxEDtwogcHTvZiU50J3kAYj99jg0YhSppAbao3J6FiqOx5B0/1wOX2gQsO1Aox7VwCydf+Tpgz0+VuVCN2j/l8QMjnIRCKoMqqwoY6PXa2FdNe94dDt0ih423NlqSikqqjSlhxvgqmPDFaq/TobLKirUaPPxy6hZl5Hzy+MH72WCNqS7UIhSPobDCgwKjEb9+6Tu7RZwsH/Tr2Z1FIZSpueO7cOfz85z/H66+/jtdffx3FxcX427/9W/D5fCgUCojFYvziF7/AK6+8gpqaGjz77LMZa3esZcBiM7t9AQu+IGQSIfrHnDDkSbJKlAKhCHyBcNbsWImd/HVVOqyrNiFPKYbNGt+V8HiD+N3bN1YhDOssWLciXEo4tVtDTlzssWN7qwVapQQzc15c6qV36ghj6upQuynGvFzUFOdhwrGIcAQYm3HjR3uqSWFR4gH78MIY4yTDkCdN6rIwwfMOnOgmdwJMGglU8jhl/FM7K2hY/vU1epz6cowcPU84ltBWa6R1sKgCpVSrK9PCqM2lBe7EAihTU0jZ8etAvJP3/JF4t3BhMUhCSiZn3QA4cShggshje6MF1cUamLVSWhEFIK1+1ejMAj66OM66SAusYp9PfTXKyARoTakAACAASURBVAxEDVZP76qASMilFYtEEvT+ZwO4NujCC0e6V3YV4tAJInjdGnLCqpfgJ/tqWXe8Tn05gvPXp3Cxx47H77HhgU0leON0P2tXqrxADS6Pg0AwQsJv9m0pTbtDRiQbkw4vis0K2uvTMZYRSUSuiAeNQoxoNAaJmE9LkjKRCsjGYgCmHF588NUYLLpcGlNWZ5MVslwhvP4QhDk8lOYrsbHBkjYQO1w+hCIxvHN2EL5ACFVFeXchfWts30RckuYKk66Tzaoi9YeAZP+dDVV6qmSFeF9i+jI67cGW5nxGHT7CiOd/dt6LujItuVeiZyg6CLs9uoBccQ6jXyu1qCHkAdFlYIZhv5DP4yaRJbA9C0Qs8HiDiMaA984NoK5MiwtdM+hsNKO2VEuLG2zFg9Ptx68PXiM1jzbVm8kpSqriK9U5Joxooib6v1TTmMRYGghFcLlnEqEoIBJwsb05H0q5CCVmJYD4PUU0PIUCPlRSAd5c2U2ViHkoMsmSkBqpNIYyEXNlOo7o8jImZpdS6gYmWibFg92+AJcvCEMeXUh3Y505ZSFGXL+ZeR84nBiaKnR479wQjbSEur/+mzeuJzUr5RIRZuYWsbgUwIwriJff72Vt1hLHmSkVPZNl4sOpU8sJuxf7tpagwKAEuEB5wWoThVrMTNi9uGedBRplLnltd7YVYGbex7qXJc0VIhSOwu2Nn3viXD+4uQT1K1NkTnQZs+4QDq/sMRLXPDGXWos4ymZ/FoVUpuKGFRUVePLJJ/HEE0/gySefxJYtW8DnrzqVmpoaPP3003j66aexdevWrAQQ1zJgUcfwhHP54ItB3BhewO0xNwYnF2DWyrCuSof7NhRkdIGJBDHVOJSwxESOLVmmFim1pVq4PAEyAX2oc7UwYtsP+e2b10n1a7aROFE8EeKtHM4yvrw1gz8e7kI4sozd7SUoMStQUaBCqUUNrz+MRV8Ij99jQ5FJkXaSkQh5oAbAmfklfPDlKOlU+8YW8IsftGJLkxkVK/tphEPsaMjHlGMRyhXYy+72Yjy6ozzjpefEc3wnej6ENdh0aK5gxq8LBXz4gxFMOby4b0MBWioNOHiqBz0jC+S9UVWkwZsf9eOHuytQXajBciwGsSiHNblPxcKjlIpSCvl+dn0CF7rt6BlxIQags8GMqTlv0uuIYPXFzWmcuzyRxEI0OrMAHpeLNz68DYVUAKVMTF7ntjoTea0qCtWs5zYQiuCjS+P4/MY0ZuZ96B9bwPoaPQ0uw9SVEgr4NPhNJp28QCiS1IkFmBnLmPbP6sq0KDBK8afD3Rie8mB6bhUyBcQ7rL996wYUUmFScMkE5pNofB4Xcy4fxEI+NMpcPLzNlrQjMWZfRO+oE9tbLTBppCneLX78V/pmcfrCOLyBMHSq3LRLxHcte/s2GnxA/H771atXUl6/bFEQiUbdVaAyq1UWqfA3jzeyJstEQXG514HN9Xo8sr0M66rNrIQ4gVAEf/+HL5Ar5OLHe6vR0ZifFJukEuGaklrEAHQPzqLYrMSRT4dZn4m6Mu3Kvgq9oUUcY9eQE3KpkPxO2RQU1ONnIpJJbPClm8ZQYymfx0XvqBtyMQf1pTqUFeaRRRSQPNkyaWXk3mWBQZGE1CB8Yio/llhoMWnoEXBz4jh2thUiXydL0g1MtyeTqnj44ItBXBlwkVDoRCHdVIUY9frt21pKo93/6SP1uGedhba/7vQE4PYG0VyuRXQ5RkptcLlcxDgcRv3FRFtlqQ3BVqBa0+YWcW8xTS3FohwydhKvY9ttI65tTYkmJbTy6Ke3cWNgHn863AWPd1X3izjXgVAEwfAyXjwW1w71eEN4cHMx2RBKBwddK/uzKKT+HGytAhYxhhfmcHBraB6/OnAFjaUaCIR83Bqcg1iUgyt9s+DxuPjj4S5EossZCawRCWImEAgm6tnEZJmpG1VVnIetzfmoLEx2CFSnRhBkpBuJE8WTLV9BQom2NVvw3sdDNPx1niKXfADryrRwevx479wQItFlNJbrMDzlwffuK0eumEfStnoDYTg9fvz+rRspcbZMRYBELMCBEz242j+Lp3ZVkIQddaValFmU2Le1lDweavHBxmhIFIvUAigbKmim7lGqaVZtqQbbWy1oqTRgfNaN67fnaffG7vYi6NUi9Iy4sf94D0LhaNp7LFXxUFemhVEjxuP3VtCus8cbxL+8cwPVxXkoMsrje1jXp/DwlhJsbspPuj89S0H827s3MTjpgUTMw//5ZCOZyCulIlztm4FWJcHGWgMOJdwj7fX5aZMePo8LlycAlVxEdriZsOd3cg6oRk0amioM5PVPhH10Nprxxun+pCSCSAASO2ZEtz9VpzgbmE+iaVVxUcrygrjeFfUeC4Qi+OPhm6gr1eKND2+nVYTn87jxfRuFCAI+N+XE8q7duX0bhRT1fku3BH6nxrSrQBRCG+uSfUVi4ksUPdUlOtp9y0QMQCTWH1+dglEjZYxNhH/O5jiZJs3EzzxLQfzLu7dQaJDAqJWBz+OgZ8SVpH947PwQ9r/fDa1SlNSsYCvsUk1uEi2xoEmHcMgGymWzqpCvV0CjkjBqPVIFYAnyjCKTDC8e7YE3EEahUY58tZCV0IfJXIsBSHMFSfdPoh8kjqOyMA9lFhXqbVrs6ShGVVEe9h/rwv7jPaxaf6mKrNGZBeTk8HHwg34aFNqQR9/7SuXv1PIcfGdLGSoL8+D1h2nsikSjjLhn3d4g1lXpcWvIiReOdsPl8eO3b16HWiaEPxCCSi5O2awlJkXZNrcSz8GUfQHeYISWlyTeW2wEXUyvYypmEovgxDzS4fKCw+Hg4Kn+VeRQtQ4q+Sqskc/jYmLaDV4OD1f7HNjTXoR9Ceiob5poArhbSJG2FgGLGOMqpAIUGOVk90Elz0E0uowyixJvnxkkuf0TKWKZOtcAc4KYCgLBpitDTRSpN/Dj99gwOOEmqWHZHjqhgE86sOXYMjY3mGlFB9Woi7ML3gA5gSgyyWBMQZXq8QbJJdRJhxf/4eE6bG/Jx/WBOZy5NE6+z2Pby8hkO1VhybQT4PEG8f7nQ9i9sQinL42hqVxH/i2hx5VobLSgRLFIOPhsqaCzETKkGvF9FRIRBiZcJBX8PeusKDErwKdoLqTSJSGS+nRTDoVUlHRehAI+5lx+XOmbxYObS3DgRC+C4Si06lzGySl14bexXJcUCMqsahgVAmgVIkRiSLpHqPcyG3yOEKamCo+uZVeKSBrK8uXobDXh6CfDjJOzbS35MCXAPVsqNeSyeSAUQZlFiZZKQxJk6szFMUglAswn7E7dCcyHMOK5DYaitGtC3T/UKkV4Y2UvMBNdqmKzEpWFajSX6yCXCLJaUr5rmdm3UUjxeVxIRHyYdVJYdNKMUA/ZWKpdBaZCiG1BPJuix2ZVob3eiMZyfdLv7oSqn6lBSf1ZW60Jcws+HP98DBWFSvzFA9VQSARQSoXoGnZCLOTDapDRmhW+QIhMotMdYybPObUg5nBiKLUoIJfQG3xMTbtEv86WhzC9lviZRimCWi7C+WtTpI/Zf6wLH1+ZQEulHrUlanC5XJg0MlLPUCLmocgoY21gEbHRopXQ9BTXr+zKJPpB6ncjfJrD5cX+4z2oLFTj3JUJcDigFVP7j3XhtVN9EPI5KM5XJn0HpVSEa30zyFNmJiDPdAxU4qhU7Io2qwrN5Vpc7nPg8xvTUEiF6B52rjANuvEfH2lAuVWFjbV61u9ATIpyMmhuEdc58Xk79HE/bg0v0PIatuZeIgSW7XWpihmbVYXORjNNxBgAgqEogpEIuBwuuYdfblFAmuAz9BrpShzSYENtfLo3t+C7Y2jjndjdQmrF1iJgfXxlAiq5CJvqjBiadKPMqoLd6UO+Xo7dHSUQ84BwjIPrA44kith0zGlMCWKivf/FcMa6MsBqN4oJQsfkMIlEjsflwJAnwXPv3QSPG4NGKYYvEKY9LAR0w+70ocGmI0VOW6tMrJ0MgD4K37u5CMOTC3AvBfHeuSFykvF/f68RxfkqhCNRTM/50kIeEncChAI+RqY8eOfsYLwrSoFZMBUUbM6BiWUpJ4eX0bkkHnYCZ+wNhFFvU98RfKa2RAu9UoCHtpShtSreTe4fm4OEQTeKenwHTvRg//FuOFw+/Ms79MleppShdWVabKw1wqyTkQQiqSan6eA0UqkI0hVGMLZ7JJXgJwASp0+1xGO5U0pUPo8Lk0aCYGQZEmFO0sJ7R4MFrdU6bG6wkHBPk0aMZ/bUIE+ZG++iBsIk3W0On07+EQhF8MGXo7jWP4dtLRbspsgH3AnMB2AvwA5/MkiKWNusKuTwOIhEl7MSQyW6+jarCm21+iTtvLv29ezbgvZ9cXMa3kAE569NpS3UsxVeTkddTU3uv+6COPFcv3S8C8+9dyvJRzD58nR7x0wNSn8wkvSztloTOhvNaK0yQijgw6KX4bn3VhPmPR3FMObl4o0Pb6ecGARCEbg8/qz9E9Ec5XBiKDAo8MqJPnIKo1hJmNM17TJhcGWy26NOClGVF63VOjx/pBuDkx4UGuWoKlRjYMIN52I8HyIhf8eYP4u6g+NY8NHEjjsa8jPygx5vEGq5GMvRZZy7MkFS1RMx2eHy4rVTfWi0aXH0/AiW/CHUMzQPSi1qmBQCdLZkV0SxwSpTsStKxAIMTrpg0kgxNOXBj/dW4JGt5Wi2aZGvl5NIhlTWYNOhqlAJpUzE2twirnNikdpUoUEgGE1ChChl4oxIOe6E+e/AiZ6k/IOI8aUmGYKRZajlIsilOWirS84HxuwLJKrp4yvj+PTaVEo2z2/C7hZSK/Z1A1YgFMF/3X8Rg5NumLW5qC3R4NDHQ5BLBRia9KCj3gidRg7ngh9KqRCFJjme2lWJtlpTRsxpAHOCSH5/bxD/4+A1jNsXcd96K/ZuLsmoi+Xy+KGQijK6+YlErsyqxOkL4xAL+SjOl+PmoJOxg5iIYad2H9mUz4FVKEOBXo5Zlx8Tdi8KjPF/b6w3wuUJ4mLPLC5025OILtIt+gP0aVmxSQatWgSlVMQKm2JzDkSx6FoMYm9HMVqrjWR3t6ZEhUe2lkGfJ0n6fKIjatXLoJQJSbbC549033EnWJ6AN8/XyVGgl6GzwYBKCpyROL5Ckxy/e+t6kjbW9lYLvrg5gRweHzcH7Sg0JXfpqB1LjzdIMuxRxSFTBblMO8tM94jT7ccLR7uhkAoxMOFGe50xaxhStpSoiV3c5VgULx7twei0B5sbTcjXy1BbosbGunxSb4fYBczXCBGKcvDSiV7EYssoMinA43JYu4WR6DL+cOgWHAt+TM95k3TYsoH5EMZUgB35ZJDUHfEHw/B4A7g56MR1BurqTOxOJ6t3LbV9G4UUUWhnQvxwp8LLbFPhxPsmU72g8Vk3FAlNJ+K51ilFrKLAVF/+vfvKcbHbzgqVJWIJMUl3eoJ4cHMxGsv1rHTaVF/kC4Qx6/SRGnO1pRoUmZTweIPI4TFPDM5eGsP561Np/RNVHJlqNqsKpZZ4EUVMYYAYVDIhWZiEo1E0Fivh8YdpVNpEHsLjclBeqIJSyoc8A8Ikh8uLf3vvFo2oqqM+n7yOlYUq5CnFOPzJEC50z6LRpsaejhK8eCyZcIgw6g5Oa5UBP9hdTbt/0vlBKnJmS1M+ckV8jE7T5RkkYgGEfA6Onh9hZCqmmlQqYixgUiE5ekdckOTmME6yUkEqa0q0KDTIsGtjIT67PoPu4TlUF2loTH3pzB+MoLIoj4Q3Uo2abyYWqVuarLh2284osJwpDJTtdUzNS8L3eANh8LgcNFfo4FoM4I+Hulb22t34T4/Uo8yiwEZKEUXEZCqRSkWhGhP2xaQiMFWuuVZ2t5Basa8bsAgH3TviQmO5HluarXC6/egZcWFzo5l0AMVmJcqsKpSYlaTTTceclokRydLAhBtFJkVGiRY1oUxc4mOzuIaVDMFQBI3lWvB5vJQ07qnE7VIxyxD6OA7nEt45N0SK7z7YUQJfIIy3zwyQRBeEE043qSC/00oBVGySQSTMwYtHeyAT88ndLaZuLJtzaLDpEI3GOzhEcjEw7oTDHcLLJ5LZdagd0d5RF37xg1Y0V2pInZZsIVupTCzKwZFPh3Dyi1EsL0cpi65e3L+xEOFIFLeG5kkx5XvWWVFolOFCtwOvnOiFUiZGvlZCu55EJysQCuN6/1xSEkKIQ2ab7FPPT6put1iUs/JcObFzoxXFJmVSIcVG9Quk7nh7vEESk0893sQCgdg7GLUvwpAnwflrUygyKWDU5JLvTewC7txQRO4HTjq8+Ms9FWhvyGeFwmXS0buTeyNxx/G3b10nl3OffagGvmAUxz8bwaTDi54RV1aTgG+TZvbfm30bhRQRO0amPWiq0OIv91YzTiO/jmAnkDwVZtIrkq7smjZVaLCFpfu//1gXTQPN4fKiZ3geb6ywxM24fEmMq1QjfLlRI2GFyibGkgabDrHlZbx7bjBp92Nj3WqxR41pQgEfQ1NuhCPLKDDK0VK5CjWuL9Uk+YBAKIL+MVdaWZREceREk0uE9CnMzCK+u90Grz+McDSKbc1mXB9awPMJpE0TM15o1EIYNVKcvjAOgJNRU0QiFiRpbTlcXpLOe2NdPsw6GYAYRmcW0Viux7pqI5nz7GyzoqZEm+TXElEJTCRBTMaEnLHqpfjPT7cm+dPifCWW/KGMkC2JlmpfNRCK4P/5w5fI4QE/3luNzU3JhCfpBKlnnEu4NRBHlrz0fuZTwgMnunGxO85UTFCBU42ab25rzYdQwEVdiQY8fpwttqIwD3qFAPduKEhChGT6vPN5XFpTm615KRTwEYpEoVGIMT67hEVvCO+cHcCGBMQWNY8kYnJtkRovUXQfN9TosLAYounAMSFavgm7W0it2FoErMRkm60L51kKMlJ3szGnEZYKuwxk161mSn4ypesmWM40ivh+zp3o3WTKLOMLhuELRGF3+mDIk6AkX4aB8QXoKR2TjkZL2v2wRGuw6aBVi1Zp4ed92NxgxjRFbDdJqNC5lNQFDIQi+NWBK2Ry0dloRjiyTO6aUAUsAeZEWS4R3RFkK50RmlM8HrCuWg+hgI/pOR8e2VaCK70OXOi246GOYjy8zUbeN3NuH2062l5vJKej1E5Wvl6WUv8lU0w/9VnIpNtNsEXyuBwYNVI8995N2q4BG9UvYdSO9wPtBSg1qxCOLuPUVyO43OugQQLYEj1gRVumRLUqSrsyPQoEI7RdwO7hOVQW5q0UqhYsLIXx64NXUVeqwV8/1sBYKKXr/GULrSLM6w+Dw40Lkvr8YXh8ATzzYA2qS7QZ61YxfXamU4S7lr19W9A+InbcHJhn3ZG6E9gOYUxIATa9olTwsvFZN0k4xOHEMDm7hOsDc/j85hRaVjrrG2qMScxqiUagO5j8LlMs4XA5+KcDl2lF5MkvRvA/Xr9G+qv9x7rwzrkByER8WA3xa1VbokFzpY4soggj4LDU55zP42JydhHKFYkOpmepd2QOr5zoY4wtVIvvAcVWiqj4tWqw6VBdrEQ0Cry9AkkmSJuOnx/GB1+Noa3aQEL0MomjQLwIWF9jxLoqHWrLdLSkmXpNz1yawJ72IjzYGZ92N9h0aKvWYXBykbUguZNpQiJyxumJa0Fub7EwHkv9HTT+0u2rEs/Kp9enYdYyE54QxlaQKaUi5MlEeOn9zHedHS4vTn4xmnY/isg3S/NV+O2bN3D++hTGZpbIwl0mFWV97qkNTGojwqyVpGy0DU8u4KOLEyQ6ZtLhRTgaxX95Zj3a6+mFEBGTeVwOis3x/TrqxI9JB+7bsLuF1IqtVcBKZLNRSEW05COx00X9XSrWsEyxy5l2q9ci+RGLclBVFBfHvXe9NeP3oDLLFJsUGJxcgH3ei2KzMul1F7tnkMPnIRqNwayTor5Mh+5hJ0QCDh7sLMG96wvJ78IEtUhlXA6HTHy3teRjT0cJ7t9YiNYqQ1JSz9YFTEwu6m063Lg9S1tOTdReYUqUv84Uh814PC4+vzmJfJ0M3cMLUMkE+Ol3G6BT5eKPh7vIiR7BnAikno5Sf1dbokaRScFY/KWCOxC/++jCKG4OOjAz78OtwVkUmZVJ3W6qMj1hxPm2GKRJ1Nt1JRpa0EmkhyWeNaLBMTTpxo2BeVztdyBfK02CBBjyZKwiz8T5oN5z66uN5Hs3V8T/XWiSob0hH00VGqyrNpLHODjpToLtJR4nk90ptOrVk9243OvAxe644PTODQXwBaLk1PTJ+ypZn2MiCU712d8Wzey/N/u2CikgLhSfjswkG5Y3wlIhBRpsOmys1aOuLD6RmHB4yOk8U6GgkKz6oB8+UIU3PrqN0WkPWioN6Bt14ge7q/DAprh8SiYFQGuVIcnvMsWSD78apVFqF5vpe8Xra/R499wA6kq1eOfsIO1YU8XkxOe8yBRPBLc0mZOeJfv8Ei71zMCklbHGFqpVFubRtMGI83et304K/xKkTZNzXrTVGHGhx05OA3ZttKK8QJ3y+1OLgLZaE2OD1rUUwPNHuuFY8GN0ZpF2TZeBOybQSWVU5MzMfPpjyfYzM9lXzeRZSVWQ7T/WBcTCUCtyGeMxYYnXIJVcCdWUMlHKPDAbmQ1qA9Oql9EaEbvaChEKRxk/w+n24/dv30RNiQZDU26015swM+/D3o4i6PMkNOgpEG++hKMRGDVSvPfxECmHQIVN+gJhMp/5tuxuIbViax2wjp0fwn8/eBWepSB+80a8a6VRiMgbzOkJIra8jH86cDltUpTpDlW2lmnyk24xXyIWJP0+1a6SNFeAQCiMlgodAuFlnL4wDpVChMpCNS2wSHMFuDHgAJ/HgUYhhkjIR6NNj9oSLTQKEUxaGe31TEQGDpc3iQgDAN45249r/XMIBsP48Z5qjM0s4XdvXUcksgxbgYoWJFuqtGQXlCm4JzrMUosKJWYF2usNrIGOKVGmsucR/6eKGGdrfB4XRnUubo+78fmNaRQYZDCoxTDr5CkLhAabDi2VGjSW6xnhFk3lGrQ3WJKKP6fbj0OfDOLop0OYmfeitkRD+1vC4fO4HESjUbgWwzj+2QiMGilKTAoS6kJlkWR6NuJ7AEr4AmHarkE4EiGnP1RMeiAUwckvRmjvFwxFcbFnFp/fmMbotCc+QdJIIRHz8MzeGhTnq8jjZSO9CIQiePFYN2wWJbqG4/pLiQxF0lwhjp0fwu/fugGpOAeVReo7Zre7U2iV0+3H+5+PwOsPk+dqe2s+Xk+Ymho1sqTnhEiCuRzgnZWdKrZC9y6cb+3t2yykMiUzyWYamglS4NDHQ2Qi2E7ZrWErFAj/VFmkJbWomio0+O72MpQXZPZMUZNPpuOkxpJAKIJ/eOkSZp0+7NxQgPs3FUEk4NMaaM0VBshEfLzDspvFZkwTXj6PC94K6xzt53wu/vm1qwiHI/jhA5XY1mpNeS3YtMFsBXko0MuwpcmEepseXn8Y4/Yl1Jdp8NPvNqCl0oDORjP6RhdSSi0wFQFquTgpMZdLhKzX9E4JdDIxAjmT6bFkW0xl0vxM96ywHT+R8529MpVShJ7pGrRWGVFsluPhbZnFGKY8MBuZjURSjc4GA2Lg0BoRbLmmWJQDl8ePK30O7NxgxeP3VmB7qwWXemZZCSOMK3BNpyeA/nEP9naUkM/ZwVO9rPnHN2l3C6kVW8uARSQ8CqkQXUPzZPKxb2spfIEwZuZ9eHBzMd49N5hRUrQWO1Rsli75yXYxH0jPqgYA1/vnAA7w4Vdj5APINHrXyYUoNClQkq+ksZt9dWsGV/pmkyZZ1L9/52wfIxGGxxtE36gLpy+M48bAPDhcDg2mtrnBBKcnSC4Jt1ToaR0VpuDORA2eCLlItbsD0Fn0YrEwTl+cSMs+QxS5bPtmPB4X//buTUSiy7Do5XjxWA+8/jCefqCKtUAAQNJ0MzlSahFP3Sm4OTgPz1IIPSMuKKRCVBatdgCpDn9qzoudGwrw2gerEJV71lnQWK7PmEWSmCxRdw06GvLx6I5ympjxsfNDeOPDPpJJkHg/mURIsiON25dQalFib0cxpud8ePWDPto5Z4M48HlcxGIxnLsyiQc3l7Dq1RDH4g2E8MjWUuzdXELrEmdqdwqtEotyMOVYBJ/HgyEvFwuLQdTbtJBLBCnv6c+uT+DtM4MkNObBzcUYmV5MW+jetbWzb7OQAtZ+Mp4OKcCUCK6vMSZJAiQa4UeJBO3WoBN/PNSVdj+W7TOZkmgqQYVExIdCJsRHF8dJeu/EBprVIM8KFcE24WX7+euneqFX56J7xAWrUZ7y+U/XdBGLcsi9E+Kat1QayNeEo8tpzxFbEcCUNDfYdIzXdHzWjY6GfMZ7Ll28TLVjTbV0x/J1tPnWanqWePyDY06IxXH/XF6gZs352K6BRCy44/3FbGU2kvQQm6yMTW22XLPBpkN7nRGNFXGpgnmPP4kNmbojxeZTPN4gPr8xzZh/fNN2t5BasbUMWETCc3NwHttaLJie89Jwyp2NZjSW67NKijLZoSLsTqmdmd4n2yXyTDqQxIM6NOFGZ1M+K137/mNdOHj6NnyBKPYf7wFiMZQXqBEIRfDZjWnWSRbx3e1OP+PirlDAR9+Yk9wJqStVo8ioICnXR6bdJJzQopdifY2JNRBkaul2d4hzUm5Vw5YvQZ5CSpIUMDkT4j1PfDGMsZlFVsY0wtEWm+U4d4W+08Q2/vZ4g/jq1hT+4v5KdA/Po6Iw2SFRO6nENY/FYugbjU88FhaDeKizBNPzi1BIRDSHv63Fgh3rCxghBYT+R6bPBtOuARF8iWSCgK0kQh0IdqTd7UVoKtendeBMlg6+QRyLPxhGbYkGl3pm8fyRrjsuQBI/L9N9qbpSLUrMCmyoNWJPRzGKTcqU9zQhtkzINHQ2mfHYPfFuYaklGYZ5V4D3m7Fvs5AiUAR3knwQ+7tMSARqUpU4YWdLBLORgQiGolntWcSzngAAIABJREFUx97JFESrEpOfkahdZJ91Y34xAKVUlFbegTC2Qoft5zPzS3juvVvoG3OhLF+JhzqLUu6wZNt0ybRISjS2wpspT0i8plTSEKoECfm7FPFy/7EuvPR+L6vIbqbH8nW0+dbSqJ/pdPvx/75wEeUWOZ66rwL1Nm3K+3mtmx+JEjQFejn5+WzxhqpVRlg2bLr+YIR8PVU6h9iBZ/q8xOcsBpD5KpF/fFtx6W4htWJrHbBsVhXuXW9FU4U+KdEibphsl8ozgfNlO0Fio1El9ruy3aNK1YEkxudUhsG6sjz85Dt1SYGHwMqXW9W42u9AZaEaZy9PgMvlwEQZ7bJNsiRiQcoF+qqiPJSYFbh3nRWtVUbUlWmxvkaPspXly9HpRayv1mNnWxH53nei8QSw60lQjTgnN4fmsGdTCQ6e7kP9ivgwkzMhityHOopx+NPhJEIE6r1TV6ZF7+g8TBppSmpj6nfpHnbilZN9KC9QJwW5xI4pcc17RlzobDZjZt6Hn+yrxcdXJmjsWlSH73B5ceTTQexoteDabQcayjS04Es8GwZ1LqtDplIgswlFGvJycc86C/RqCf7yoZqkZ42aOJ67PEbuDrA5cCZL56xtVhVqS/LwwZfpl4Cz+bxs96UIsWnqZ7Ld04TY8rXbs3hqVwX2dJSSUCFDXi5y+Dw4PQGsrzagsVx3t5D6hmwt41Iq+FKmjKdMtv9YFw5/MoSZOS/+7T3m9xCLcpLEywn7uomgZymAaCyW0SSI8IuZfCbVh7Il45e6p/DZrVna/nImCSRbocPnccHlcjAyTf85Qcwx6fj/2TvzsCjuPP+/gaa7oZsGmru5RVBAEAXPeN9GvLKTU5M4M5vMzplkfpmdJE9mdmd2ZzaZTTabjDkm2cxoxowxJmoiRqPBKybxTjwQFUWQW+RqaLobGvr3B1RbXV1VXdVdfcH39Tx5nghFdVX1tz6f7+c2YPK4eEGF9K7Us9ER+r0IMTyYBjS9aQg1rJzSic70ZXNbDzZ/dtmuvXtuhvNuw2z34qnUQldSBSkoffrFqXoEhwQJqvcW+1nOonnU8zpfdRtv7Rhq6HSzuZtX3whtVsaETfYwR+ewwXzPDpyoRbhShnY9f22YJyCG1DCe8PxRQphvkyFlUbnYCBJXA4WyY9XYf/wG4qLCsWBKGmZNTEJmssZOEHJ5JjaVVbDOomGGz6kXdVJOgsML0d5lRIJWja4eMyputGHZ9HRbK9eaJvsUST7FydUIw9RnQUOrHglatV17zv/7pAIyGZAaH4HqBj3SEiMECTFnRKqVkIVYcc/sLMyerEN2KvsLXpgdh9lFOiTEqlHTqIeh14wfrpyABVMco5BUkejZq7dQPD7Brt6JuXaGamRuYOaEJMRGK7Fsegavsq+u78SmPew1eVweUyo8P6NAN/QzGVgVJSXwVWFyNNzqwb7jNzElL9HBSG9q1ePTL6s5N3fMFshclJ+6iX98fhXq8FCHzll0aps78fpHF2Ew9uGRZeNQMi4WES4qBjbU4XLBRcBCcLcVNRM2xUoNW85OHYoCv7L1W6yanQ4MBsEyOIiBASt0cSpMHk7JIEiPVHqJL31JbMdTOlQtx4wJSTh0pp7zHGzDy+nRXvpGUExGBdX9NW9MNH5yz0RWeU2t7U+/vI4/0QZQ820+2fQvczNed6sLYbJQVlnJ5aCkw2bobNlbiQMnb2LN3CysnJ1ldzxfvSYX7jo4xG7Q2fYFbAZ0pEoJg7EPitAQTMlLwOyiOxtmpgOXOQRXHS53aO8uRP5x3UvFjdvQapRQhclQkCU+5ZqCisa6kypIITSy6QpCZ/4ZjP02uSAPDXFIj5fCecYne5xlg9Ch6hiv1nUiOyUKj5bmedW5RwypYaQ0pITm7nLh6iZJTCc+ru5Ipj4L9h+/gciIMGz+rBKyECvOVbXZCUIuI48y5JizaLjC52yCje6d2FCaj4nZWkzN1zl46ZiChssDxGyEcelaC/adqLPzININ0PoWA376vUIsn5EhqRCrrGlDdXMP3t93hVeAUfdQlDPUnZBvfkRRTjwKsmJs8zpmFaWwrp0IlQI1jXpsP3gNqfERmFHI77HdduAyctK1rDV5dE/qA4tzkKmLtK1Nek0BvbsWXRnSW/jzDelsuG3AgRN1rAKWz5tJh+84ZgqS2WCCxRqEihvtiFApMFvEBHuhFGbHiSoC5sPVeik22cSnWKn1KAsJRny0AgbTAEx9A9j7TS1uNOrRdFvcxpsgDin0krP0pTBlqN27yicf6OdUyGW2+t1z11odZr/QEZKuA4jLqKAbZ/UtBsybrGNNf9782WXAOmhrBOFMp/LpX/pzi1Qpca2+HeFhcjtZuXV/Jc5VteFafYfTjTlzltDG7efQ2mlETZOeNc3MG8NF+eBLJWbbFzAbZdEN6Jst3fj6fBOKxyewdgFlporRYWvv7gq1zZ14Z9clXLjeNhzt42/k1dLWg06DyWYkU0Y/tW/RhPPPo2TC9zw9IVP5RnqwfT6VXTQ1PwGTxye43CiJC1e6LdOhslIofVhV14kl09K9Go0CiCFlQypDitqUmPr6kZ6ocSm86868DvrmlM+zx9VJRxYSjLiocFsb6WXT07F9eOYEZXD9+cPzrEqGMuQ6us1YNXsMiocjAOb+AVgsg07D55R3wjDcjW3i2FgkxKgBAOPTtZwpks68rfT8XrN50MGDqIvTOBigUgqxxtvdMBgttvbaHd1mTMuNRZveyDkXTGh0kfoZJQzZ1o4zbzAdWUgwbnUY0dpuwD+vYo+GUZ5UZw0HqO5alDJka+HPvCfKwL/RoOesn+My0piYevtgGYTDccxUgk1lFdhafg0zJsRj+YwMhMqCkKGLYj0nF85mvFGILQLmovFWFzJ1Ubhn/ljB8oHNYBKqWE19FgwODEX4xiZHQhenwoQsLUrvykBsdLhP6gpGA1LoJWfpS+1dRtS16pGli4RCEYykGBWv/GPK26KceOSmR2FecZqdc4ueegs4T9cRm1HhzDij1nakWoHu3j5k6iJtDYSKcxN4Rw8I1b+Xqm9jan4k5hSmYf6UNDS26lFZ04mvzzdBF6dGYrQCEQJTwunf0xP3TURwCGx1WEIQkk7m6gw6gD9Lhs343LK3EkfO1qOIkaLe3mVEUHCQU2exs1Sx3IwYhz2B2JQ6MY28PvvqGr6rasNfP72EoKBBHL/YjLd3XUR8lBIfDRvpkWo58jJj7OZRcuEs68hdhzwbXLPbuKAc1tMm6NxOFXX2GWKNKGZWiqeuTwjEkBpGCoVFCe4whQyJMSq8+fF5l8K79a1DczFcXRSqMLkgzx5Xsbk28o5wyUhSI0GrshlHU/N1vEqmKCceg4OD2HnkOlRKGb650ISN288hNzMav7iviFewhClD0WvqQ3x0OCprOqBRye0EDJsC4PO2MjfMspBgNN7qQqhc5iA4xczBESusI8IV+K6qBYkxanR0m7Fu6Vicunwbf9tdiaCgQURFKBwEpjtzvpgC5ctv6xEXHc7rDaYL7Zy0aBRmxyFeq+L8DMvAoKCoKaUM6Z7JoCArclIjWT1/FssgzP0DuNGoR35WNH5QmmeX9kHBNNKYbCqrwDufXsLMgnjcv/jOnAlmKsHk8bH42+5KjEvTYv/JOnz65Q1cqe0UVXQsdMabVHxYfhmVtV3Dw4j7BX0ml8HEp1jpmy5ZSDDqm7pgsgyir9+C0NBg9JqGBk+bzBav3PdoRCoHH1+9S5fBjDc+uoCTl1pQ32LAgpJkO2OaSoWm5qaxyVvqXaanSrOl3vKl6wiReUxDgM84o9b29YYuFGXHot9ihSwkCBOz45zW1AidAfTCe2fw0cEanLjUgoVTUiEPldnky60OI9bMGytKV1Df07Fzjfj2ym38Y/8VaDVypCbwf/dczkS6rmJu3MXoMWdZMkzjMy5Kibd3XcT1Bj1UYSF46sFJmFecZtPJff0WW4Rj3dJxSIpVuex0dvYMmPfBNZyWz4hqbuuB1QpsO1AFg6kfi6ak2jqaNnf0YkZBEmKjFIiOCMPJSy145O5cTJ+QyOkIcPY8t+y9hM+P16LhVrfL6YFciE0RpTtVPJUuJ9ZxzZVt4qtaXWJIDSOFwqLmI00eH4/dww0AKGXT2tXrNGcasK9b4qvp4EOMZ4+r2JwKrU/NT0ZRTjwGBgaw60g1QmXBKJ01hlPJmPostgnwMVFhtrbi9S09uHtmBquwpAu3nLRo27ULSWsUM50+TBmKOK0auRlaTM2LdxCczGfEJnRdzX8enxEDXbQSc0uSoQgNxd/3XkakWo6oiDDOFufuDDmlrltvMOO/t5y11f7MLXY0ENgiFc4EkmVgEGEKmeCoKeX5CwoaKgz+Wxm74RGmDEVzqx4LilNhsQxg8vgkjjPeMdKYkVd62uq1+qEUGWqd7/7qOpKHB1ouKBmKUlG1eHcV6oZbsQsvOhY7401o/QeX57juVhduNvfgi5PsaY9c8BlMbIqVuemqu9WF7PQYjEuPRrRGgXZ9H2tHTIK0SJlyzrVR5Vsb1fUtKPvqTir0tAlJTovzqU2OwdSPUFkwslMioBFYb8gn87g8+HzGWVFOPKbmxWFmYQoKxsZi9qRkp0YUhSszgKRoXtDc3oPyU3Wou9WDSTlx2HHoOgzGPpu+YcoGLuOWrqvosxFbO43o0BuxcbtwR6+QKB3d+KQbxUU5Q7qWrpMbb/fisdUTcM/8sTh1qcXtmiIh3ff4IkDOGnmpw+X49koz4qJVkMuCUVHdhpK8RLS092L6hCRsKM1HSrwKf9tdiZDgYIQrQ3kd2XzPc2jw8i1U1nQgOkKJjCS15CmdXFkHgdI0SGhWircghtQwUims9EQN3vjoPKblJ6K1w4iHlozFqUu3WJs6MHE21d12rQxPEjOtiM2z58pgV3ob6Ze2nLUzbpQcSpkuIJZOS0NUhMJ2Hczub4CjcGNOkBcSkWPztvLl3spCgp0KTjahyyeshXj31CoFIsKH6pXCwmSYWZBoS/fjSqsaGLS6lTalkMugCA1C8fh4dHSbMYGRs8+MVMwsSIDRbOHdFFPPpnBsLH5+f5HgqGlRTjxyUiPxt7JK3g14dpoWSrkMhdnOmxiwRV650lZrmzuxqewyErUq5GdGI0ajRHZaNIpy4jFhTDTmFafZ1lF7lxG39b12qUlsiEkNYbvWxpZOGMwWu4gkn8KPVClxqea2nTEoNCWCzxPJjEBQmy5VWAiqbnbaogsluYmIUitxkacjJkE6vNX+nG1tmPosMBgcU6HnTErl7eZGNRKgMgtiIsNFtfpnkz3uNFehpz2z/Q2XbhSysWTTPe52IYxSK9FwqxsTxsRg3ze1w/qmFwunpOLAyZsOsoHNeGPqqqXT06EOC8WNRj1+sDIPH35xTXTLb7qhxKXvmNFCulHMppN7Tf2StB93ZsC6sn6Y+6rsNC10MWGYNC4O8tBQnL3cgsfXTsCyGZkAAOXwNUwaFyfIycQV9ZTJgu3aeH9vYQ7vtUphALnS3IwJfU1IbZRxRRL5slK8CTGkhpFKYSnkMnToTThV2YIHFucgd0yMIOMIYN8AMgUWMyLClVZEF2JcbWeFIrZmixIQ2ggltnx+GTmpUbhU044ZExLtPOdM4bZwSir+e8sZXKsX33mFTfi6mnvLJXS5hLXYKJUubigqFi4PwqA1iDNfWYruPwDw1fkmbD94DfHR4Q7fP90bvWpOBiqqO3g9afRnc72hCytnj2H9jrgEaXBwEExmi9MNuJBQ/+lLTdj2RRWrwmJLW41SKzE4MIj9J2/i5KUWXG+4891ShrVCLsP+b67j1OVWQV0By45Vo6+vH48sy8V8lnoyCrYo8YGTNbh4o9Pu3RSi8PPHxCIhUo7SWVmsa5sv6kVtKk19FvSa+jk3Q9T7/qM1hbZ6SXoKRW5mLNITIrB4aioxojyIN+dIMZ04spBgtOu7EBTsmArtbLObky4us8AZ7tQN88GlG4VuLFs7DNBqwhx+7m7NYGF2HFTKYIQEB6Pp9lCUvGBsLKdsYBpv5v4BGIz9uNVhxJxJycgfE4OCsXHDA8+jREfNqH2ILCSYVS9xyRzmz5g6Wcr243wGrNj1Q+2rmLXu6nAFNColctKiMbsoGSnxQ+9k2bFqvPPJBayZk47MhAgM0PQ6XT7qDWZYwd/RWcy1SmEASdEBlloTpj4Lapv0kg5r53UsskS6mY2kvBFpI4bUMFIqLKqNdW5GDKd3nAv6BpApsJheJqq+gyutSBUmF9VogI+ctGhMyY93SDeke/PodTaykGCEKUNxu7MXJypaMGuizmHTxxQYBWPjXO68wuUhc6VpBJcga+0wYEaBziasqc2oKx41WUgwIoYHOLJFCejfdVuXCbMKk2z3wjb0EhgSGG2dvXZdhYR8/9Q1ZCZFOk0JFRIx5BJ81HqeNC4W/7wq360NeHNbD/Ydr8W44e6C84pTHArI2RwW4zO0sFqtuMnR7am9y4hBAFs/v+q0KyDVEjxcKce28iqEhARhXLr9cEhqg8GMEqckqGAyDzhEJKMiwgQp0Qi1knUNOKuNNPVZcPDUTRw714i3dlyAIjQIqvBQB4885QyJ16o4UyiCgoNcnh1CEIY3DSk2ojXcqdB8fLD/skOr/5stnW6tF7FzF53BJRvZNpa3O3tZu11yvWtC2p87Q6NW2hkHzjbYdL2jkMtwrb4D0WoFoiMVmDxuKLrPZXjxQd+HZOg0Dvpu6/4romZXMuWWlANl+XSv0GYEVLq2ZWAQKfERQw2wWJyZ1LM09VnwzicXUDg2Dlv2XsUggrChNN8hRXXr/sv4+nwT3t510amRIeRapRqB4a6Tgr5XSdCGofxUvWQOFLH3yKyLl8LQFAIxpIaRWmHRX2iupg5caFTsRb17vqqGLu7OUNVxadHoH7DaNpK5GdEOXkV6Z6NlM9IwISvOJW8Zc+aU3mDG1v1X8N5nl6FWhODItw2sLZSdRYWYAiM2UimqExkAfHzoKq7UduDKzXbJPJXM66IrzWkTkmwvqDZCgcQYlVseNbZ8ZcpT19ZlwqyJScOtVUPx5XcNrLOVjpytw9XaNltXIep74OpsxewIpA5X4GRFM6I0SlZPmqnPAsvAIF7YfJo3Ysgl+OjrubapGytnjxFV6Mz8HJksGNWNXQgCUDI+HrFRSuSk8U+4p8jNdOz2RBGmDMW5K82IiQpnNR7sriEkGBHhMnx+fCj9poYh6JkbLXqUOEqttDUgYUYkXe0+RI96dXSbMTUv3iFlcNuBK+izDOLr802Ii1IiPEyOdzmi1dR9FOXEY2ZuLNKSNbaNMLX+o9RyqMNko64+ymg04le/+hVefvll/OMf/0BycjIyMzMdjhscHMQf/vAHvPDCC/jggw9QXl6O6dOnQ61WC/ocXxtSgLBUaIqbLZ0wmi34y86LNjmxZm4mPjp4DX+VoCGLlHMXuWRjr6nfLg3u2HeNDrqNrw6Zaz4jG0JqJulyUoxsyB8Ti/EZ0TYjiu+8ALucZe5D7p6ZYdeBNyMpQlSnRSH36EksA4O8G/HWDoOti29SrMo2O4nPSTrU6ViJbQeq7OpWY6PCbcfoDWbs/rJa1EB2ZwaIlFFadzre0aOK9y3MhmXAauuOmZMW5XQ98DlAxNwjsy5+1sQk/O8H30k++4oNYkgN42mFxZXOxwV9cf783kIEhwDv7LqE6w1dmD4hEUunp0IXp0FHlwHLZ2QgJNiKgrHsArMoJx4z8uNxvaHbpVQxuufOYOpHu96IwYFBfPLlDeRmaKGLU9lmJ7DV+jiLClGLm/ImsHUi43rZGlo6cammE1+crENSrBpZyZGihfLNlk7WNrPUv5lKc0ZBIl7d9t1wM4Mu/PqREiydnu6WR43Ng1mYHYdZhUk24ZCVGsk6W8nUZ0F9SzdiIsNswpyeRsrsbMXWXMLUZ8F//vUkWtp7sXbuGKyam2W7f2qTog4LRW6mljdiyCX4XE3h4NogyUKC0dltQpRaDo1KIdhJQf97LrJStUhPiMDsokSn+deZukiEhAShhiV6ybbBoCuV8RkxSIiUY8n0dIeIJN/1cXn2Q0KCYTD2o6PbjLsKk/DOJxW250YZuA23DchOiUamToNFU1LxIS01ki9avfvrGzh/rR3X6juQnTpUuB6mkEEdLsfbuy66Ne4hEPnLX/6Cvr4+bNq0CbNmzcLPfvYzPPDAA5DL7TcN5eXl+Oyzz/DRRx9h/fr1uHTpEo4fP4558+YJ+hx/MKSEsqmsAn/dXYmIcBmSYtTDc3nikZakxl9pmRPF49kjvBRiBvICrnvm9QYzxiRrML842SYbqehLWmIEfvVwCdRhoazdLlVhQ42lUhIiUJClxbQJQ45CoXXOrR0GbC+vEhXJoRCzGRT6PnLJWTa5TY8gudNd1ts4M7bpjq8NpflIjFEiJDjEQWcx0/MAQBer5p2HpJDL0NxmQKRagc5uM/7lngLIZHBag+sMMQaQs4itO0YGtSYydFGoquvAwIAVKfFqzCjgXw9CHCBC75FZgzezMNkj6cBsEENqGH9UWNTiPPJtA67d7ERWShRuNncjJy3atsHLTI7GwOCAzYjiSnEbBBwiXHqDWZDConvu7l+YjV1HqlHbpMfCKWk4crYeNxr1mFGQxFnr09phQK+pn/ez+CZcc71sm8oq0NppwufHb9oU15KpaaLS+bbsvYRvr9zmDbczlcWsohSHF9SdDSSfBzNMGWr7rJkTkhATpXQQ1rKQYNQ269GhNyIuWsWaRkptkLnaYFMG0Lmq28gfE2MTOsyaqCcemISVs8fwCqWctGgsnJKKgrH2xnphdtzwTAr2TnzMtetsg5SRFAltpBJZKe6F7NlSJcOUoYLTkMaxzDgTusGIUCtFdWSiNqvMtVJ+shZfnW/C5Zo2/GBFLrYOG9T05jDBwUG4Xt+FuwqTsGpOFhSyYPQP0iPaWtZ3tL6lE5dru2yzcZJjlNBGhmNcejT2fFXjNAVmJPK73/0OTz75JBISEhAVFYWTJ08iLCwM2dnZdsdVV1fjm2++werVqyGTybB//37odDqUlJQI+hx/1Ets3GzptBlLtU09+JfVuVg87CCIVAvvsMWWLueskY8zrzVbM4ldR6pw9kor3t51EYODsGVZUDqyoXWoQUNMZDhnR8NzV2/j6LcNyNRF2ta8kFT+jw9dgXUQ+LCcvb7TGVyp3a5Cl7MNrQbMm5xs97zZUu+YGTeudpf1Fs50CZvjKylW43DvW/dXcqbnOcu+KciKRW6mFmvmZuHI2XpBNbhCnApCDCDmHoqa5SVlhIZaE4XZcZiQpXVqRIlxgAi9TuZ34K3ZUsSQGsZfFVZzew/+trsS31XdRk5qJP55db5Drjq1EeNrTmAw9sNotuBWhxGls9JxvqpNlDeMimpMzEmAwdiPC9fbMHlcLLJSonCu6jYWlKTggSXZDkbUx4eu4ML1dqefxdVlj+tlozx/1+q7OAe38tHeZcStTgPKT9UJCrczlYVUL6gQDyb1WTlpWiTFhOPumZkO95mRFInURA3S4lWYV5zMGaHha3XMdk9smxRnQq3sWDVeev+sg6IpO1aN/9n6LavByrZ2LQNDKSRcQzS5PkcMzJxqVxGyZtyFvlmle/ZbOwy4eKMNX5ysw82WHlTWdmL1nDGoabpTB7ZlbyWOfFuPBxbnYMn0oTWuDlegvqULcybqgCArJo3jiBIGBTFm4wzVM6YlRsBg7BecAjOSeOmll/Czn/0MYWFDjQbOnDkDmUyGSZMm2R2XkZGBGzdu4Omnn8Z7772HoKAg/O53v0NISIjDOfV6PVpbW6HX623/NTc3Y8eOHX6nl5gwjaXZk9PsHATUOA02I4oylNg2szsPXxeURcElj9maSegNZtTf6nHorKbVhLFGzdnqWPk6uNJT+ZlGYGuHAS3tRuz9psbWPttZJId+DqnkFR1Kxje0GjB3UjI2bj/HGpniQ4gRKHRouSdwZmzzOb6oe//iRA3OXmnl3S84M3AVchma2rpZZyAxETILVAj0PVSXwYy24bp1IbVariJkPXiqgQzzO/BGS/eRre1GAOmJUZhfnIJDZ+ohk4UgPSmK9Ti9wYwDJ4ciMwdO3sSqOWPsUsW0kWFQhYVgal4CspIj8eq282jXm3DoTD1W3JWBuGju4asUurghRX73zAy788+aqGP9+9YOA5TyUHx6tEbQZz26Ih8rZ42BNvJOFySlXIZ7F2Zje3kV7l2YbWu7nhKnsT0XVVgIXnlyjt3f8bF5TwUOnq7HL+4tQHZqFGIiw3Dm8i2787NBXbfeYIZGpeA9Vij0+5hfnIKU+EjW45RyGTaVVdiO21Caz3qMMibC6WduKM3HshlpSGQ5lu2eSmeNwaKpaYLu19RnwfZhT+v28irb33H9HOBeu0q5DNmpUbjdaUR2apTd5/OdTyjtXUYcPD1UGHvwdL3D2pMCIe+VUNISorBiVjpyU6IRoVIgLTEKm/dU4Ni5JiyeloJ5xSk4fKYesyYmYfXcsVg6YygSpTeY8c3FJuRnxuC9zy6jx2jB6jlZAICVs7OHmqhEcw9n1KgUWDw1DQdO3sTiqWm2977X2I8Npflo7TBAEy53+H0gs3btWjQ2NrL+7uuvvxZ8noqKCly/fh1Hjx6FSqWy1Uv99re/dTh28+bN2Lhxo8vX7Gs2lOZjQUky0hKHdBQlJymon9PZsrfStm7WL8/F4qmpqKrrRHZqFBRyGa9OY8J8/yuuteLQmXqb7lkybSgdXqNSoN8yYHtf5hen2N7T9ctzWT+HKSv3Ha/BnEnJOPptA+uaT4mPdLg3YEgemPr6MT4jBpdr2vDTfyrA1Anczj/6Oe6emeExeVU6awzmTErGz1867JZM5cKZ7vIGzvTYhtJ8zv1JfaseO49WY0puvOD9Ahep8ZF2Oj81wfG9aO0w2K1doXs0Nuh7qPXLxuPTo9Wh/nWuAAAgAElEQVSoaer2yPdMv34h1ytmb+Gpa5ACvzCkjEYjnn32WVRUVCAkJAS//vWvMX/+fIfjKisr8dxzz2FwcBAWiwWTJ0/Gb37zG8jlcpw4cQKPP/44MjIyAAByuRzbt2/38p14hg2l+ZhfnMxpRAHAZ19X8wp2AHhgcS7au4zQRoZhfnG77UUWs9goI2RBSQoeXZHv8G86lNJgU1hcsCkGrpdtQ2k+Fk0dMj7au4yCrp++eX5t+wW88uQc9BjNeHxtgaCXmU05AkMbe1eFAf0+uGhu67ETrFyGkFDE/q2ze6PWFZfhy/VzgHuj7ux6uM4nFG1kGBaUpNjWr9RGlFDErJ1sXSROV93G4TP1eHx1vm0tHzhRjz/+eAZWz76zuaLOqVEpsGRqGg5/W48FxSk4fLYOS6en234v5P1nbjCZ7z3XBjRQ2blzJ+/vdTodGhoaoNUONThpamrCtGnTWM8zffp0REQMvW+rVq3Cc889x3rORx99FGvXrrX7WXNzM9atW+fKLfgEyljikpN02BwoURFK1DR1Y0peoktygaLxdjc+Olxlp3soRyAArJmbDb3BjFKWDaqzz9EbzNhzbCildWZBElbNGSPo3qjz/tP8cWjtMLB+trNzeFJeaVQKt2UqG7XNnXa6y9lexpM4uyeu7yMlToMpuQk4VdmCe+ZmCd4vcLGhNB8LpySzGlHUddCNLVcNAsqYoO+hLte0u20M8uEPRrO3r8EvDKl3330XarUaBw4cQE1NDdatW4f9+/dDpbJfPJmZmdi2bRvkcjkGBwfxxBNP4IMPPsAjjzwCAMjKysKOHTt8cQuiaG7rQWKM2sFjZ+qzoKW9B+ksnju64GH+XXuXEXu/vmkT7HfPzOD8bEr48nlfuKhv1dt5xBZPS3PqIfun+ePQ0NLpVGk4g+tlT4mP5DXmmNA3z0umpSI8LFSwQuJSjmXHqm3Kp3SWo1IVAp8RBQCJMWqbYF08NRVREd7b9FPrlQvm8+cyfPm8T2wbcVOfBR8cGGpDXtvcjfklqXZ/K4U3iy0K6k3ErJ32LiOiI8JweHhT8tHha1hQnIKDw1EorvfL1GfB1xcaMXlcPK7VdaJ4XLxLz4z6brgieSPFiBLCsmXLsG3bNhQUFKCmpgYXLlzAyy+/7HBcSkoKvvrqK2zYsAGhoaE4cuSIQx0VhUaj8ev0PaE4y46gYBpK8tAQhyizqwa6LjYC6YmRqG3uwtMPTUJBtmNqlEalAASel3IUMa87Uq0QdG/MY4ToQo1KYbeZ1qgUHpdXnogQ0LNq5hen+MyIchchDk8xcBlR9M9zJxLFNCao73Tdsjy0dxndNgbZEBJJM/VZ0Nc/4HTv5KpzWsponlD8okZKaOGuTCaz5Zb39/fj008/RWZmJgoLC9HQ0ICvvvoK999/v0vX4MkaqfpbXZCHDnWF21RWga0HrqK1oxdvfHzelvtdXd+Csq/qWIfr0tmytxKb9lyCUh6MMclDLyJVX9TU1ouS3HhM4mh3ykRMZ6RNZRXYeeQ6pk9IstUjzS5K4e1UQ/3du7sr0W8ZlCynmw5fkwq2IuXNeyrwXVUrHl4+HlYE2RVgOitqZutgJNUsByEU5cRjZkEC2vV9XpmNALB3+KPD9fz1PWbWfHG+Z8N89kJyqKV41mIKt6UY7kedQ+zaCVOG4kZDB5TKULS092LxtFQsmpqG5TMyeGsDZSHBiI1U4kptJyprOhAdoUR2apTg+2YWt3PVM44mCgoKsGfPHvzP//wP9uzZg+effx7jx48HALz66qu4ceMGCgoKkJeXh1OnTuGVV17Btm3bYDQa8dvf/tYv2p+3dxnRPzAoeT2bmA6dQuYkuXp9RTnxyEmNxNjUO2MR6MX7bE0o2GCrS6JfN5fecHc+kt5gxnt7K20D7WcX6aCQy9xqNCGkUYUn9FdRTjwmj4sVNYvMHxHbfdldXB0rwdeeHxiS4Z74np01Wdp/vMY2wzAkOAgfHbzGqv/cmf/ki06SfmFICS3cBYCWlhasW7cOL7/8MrKzs/Hkk08iJCQEDQ0NeP/997Fv3z58/PHHCA0NRW4uR0qBF4t6t+y9hLPDXeFy0qPw/r4rKBwbZ1ecPXdSMvr6gE17uIfrAkOCddOeS5iUE4fdX95Aj7EPE4cLcIty4mEdHMSOw9cl32BTL2VDqwH9AwN4/gdTbM0MqC4p+WMcO9dJNQyYD65NHVvzAmrT39BqQK/JYvsOWjuN6NAbsXH7HcOWOWeJgqkcnW32WzsM6O7tYz2XK8hkIV4z3Lg6/NFhe/5SFkSLaerh7sBPZ0gx3I9+jrzMGNHFtklxEUhPiMDcokRU1nTh7V0X0dc/4PQ5R2uUNsXa2W3GPfPHClo3XN+lsw5VI53Q0FAsX74cjzzyCB5++GGMGXPHmzp9+nQUFBQAGHL+LVq0COvXr8dDDz2ElStXCjaiAM8ZUh8cqMT5a20e67RIl5PONu+uzkkSAl3fUMX7shArvrnQ7NCEgg0+R51CLuNt8MS8N6FQukchl6FDb8Lxi82YOynF7YG1nmhUIQZqPyPUgCW4jrvGBNf+RwhcTZZMfRaUn66z7bsabxuwem4Waprs9Z8Uzmlvd5L0SmqfVIW7AJCQkIBPPvkEvb29+NWvfoUDBw5gxYoVyM/Px5EjRxAREYG6ujp8//vfR0JCAmbOnOlwDm8V9dbd6kJVXaetsG/r55cxvzgFg1arrZ5pzqRkyGTBGITZLp+bLfytUSlwz7wslH11AwuKU1Dd0GlLuzL1WbDj8HWPFBDS83Unjo1zCG1/9nUNaz68LjbCLqRPz1F3FbYCQma6A1dqCT2tLyctClPyEocLMMfhrR1Dm8zLtW1O82uZaRpc6RC7jlxFR3e/7TulzuVOPZUUtUFCoacTzi9O4ayroj9/TzRwYN4jPc2Gwt2caGeFqVI0t2A7B33tsN0XG9rIMLQODopKX3Bl3Tj7Ln2VDklwj/YuI9r1fThxsVlwIwdX0KgUotKuKTxVeE69L3FR4fjoYLVDEwo2+OoohaYwioEpx4SkNgopqhcil2ubO1nLCqSETU63tPUgMkLpUV1G4Y7uDTRcTQ2Uor6I7TOVchnGJkdCERqCo982YO6kZKyek2VXr0sdJ8Uex1uNJgAvRaQeeOABPPbYY6z/BQcHY/fu3Zg2bRoSEoZS0rZu3YqSkhLOXHJgyCMIALt370ZpaSnkcjkUiiFhExkZicbGRrS1tWHq1KkOf5ubm4sHHngAjz76qO2/pUuXSh6RilQp0XCrG9ERSnR2m7F0egbuWzQOutgwNLX3IlqtQHSkApPHJSBao0ZuhhZT8+J5w99jkqPQfNuAc9daMS5Ni3c+qYDeYEZJbqLbrST5UtvoFj49vYmvDSz1d/RhsO7AN2OE7vHkSy2hPOnTJuhs3s9MXZTt+H9elY+t+6/yRmHYYHpMbrZ0wmgawC7aoOKZBQk4fLZBUFSDL4XMW7MRAPbWv2xQz58v7YtrJgbbMGIu2LyqXG3BhabhCWkzK0WrVllIsJ2XsCQ3Ec1tPYiKUIr2FgvxODLv/3p9J7p7+5CWGIHsVOcRNZLC53s8EZEKU4biekMHdLFq3OowihqQLQa+aI63ob8vGUlqJGjvzNtzppu4oq+uDhnngisDgC+qJbRFtrN3eVNZhdOyAlegyyBmhsrM/HjsOnodpytvebQVN4UUGQXeRG8wo6Pb5FY2i9jUQCFZKO6QlRKFvEwtlk5Pt8vqYeLNPY4U+EVqX3t7O06cOIEFCxagpqYGb775Jp5//nmHKfF1dXUICwtDSEgI+vr68M477yAzMxMzZszArVu3EB4ejqCgIHR2duLVV19FaWmpXcoFhUKhsBX2Uv8NDg56JIWiMDsOyXFhuH/xeNuiUIcrkD8mFuMzojGZVs8kCwmG2dyPjh4T58Tr9i4j3tp5ATMmJNk8bJSSmpgTj+UzM6AODxGd4uQsRQEYeimZwohSJmGKYDy2egJSExyfnRTpfHwzRkx9FmSnRtm9kHz56XRlTv0NdXx6UiTnnCUhw/GAIaX02dc1iItWIjFGfWfjnJfIO/iQQojA98ZsBAqxgpRt48Gl8PmGETPh2pixDfxkPkMuo8pZLjkdd4V7fasef997BRq1HOZ+C2oa9XjnkwrERynx0aHrojecfOkLbPf/wubTuNGox/WGLsHpEqM9hc/XeCq1b0JWHDISI1A6K9MjRhQwJGctAxZMyIrF+PQolOSyD+L2FtT7Mmlc4pCDKD8ehTnxgtLvuN5Hd+ug6PDN+GNDjOwCuN/l2uZO/G03f1mBKzBlUES4/bDisWnR+Px4LedcJnfSy5h4s5ZZCnZ/eQ1nLrcKSj+VErFrkEJMWr0sJFjQO8f3/TirZ/c2fmFICS3cPXz4MJ555hl88MEH+OCDDzBmzBg89dRTkMlk2LlzJ5577jl8+OGH+Pjjj7FmzRp873vfE3wNnizq1aiVrIuCuRA+/+Y6zla18U68pjxL311rtWv8QK8NOny2HnEaJeK1jqFNtgXoLKpEwSWMCrPjUNOox/ufX/HYS8/0wBeMjR0y/Ez9iIsKY/VoiX3R6AMVmVEYoZ4/yqNzs6UH5r4BrF+cjcXT0zGrKMUWkejoNuOuwiS88fF5h2t2VeALNfK8BX3jwaXwhQwjZp6Ty6tKH/hJf4YNrQYAVvzp72dYDdODp2sRT/NOO8updvZd8EXBNCoF2ruMqKzpwPdX5GHrcEfC5o5ezChIcinyw/ads60hpVwmKKLGJh98FUUgeFYvhSlDPb4ZOV3ZggMn6pASH+GTuhwm9Pdl19FqQcN+nSHlMxSaAQC4VgfD9i5HMRxR9IwYV5vrcOkxeoaKOlxul7FDl0vOmhyJxVPDX9lwd5OvN5jR3mWyy2aROjLEh5g1CAx9V3/1QDSTCyFOf2/jF4aU0MLd8ePH46GHHsKDDz6Ihx56CPPmzYNMNrRgCwsLsW7dOtvvJk+eLOoaPKmwhNB4uxshIcHY+vmdtDKuiddFOfGYmpuAGYU6Ow/TzZZOHD5bj7TESFajhmsBCk1R4BJG3mgqQd035YGnrjkkOIh30jgToQYHXWiJ8fzRPTpT8hIxe3Ka7Vy1zZ14f99V5KRF4WRFC+s1uyLwpZqA7im4FH5vjxEWaxBa2nsxrzgF43QRUNPWO1uROl+EhHpX6M/w4bvH294p5rNuaevBt1fbcKW2HY/cnYspufFuKSshkcSinHhMyYtDTnqM7ZlMn5CEDaX5kkV+qPtv7TTiByvzkKkbqns4dakJlgEr1OEyFI51VECUfBi0DiJRG04MKD/A13rJHdxJ7RO6gXd10yrUeegLxMggKYrqN5VVIFwZhHWLx2P+lDtGlBB5xvU98ekx+t6gMDsOGUlqfG9hju0YT6WXSZUuxhcpk2KTr5DLcOF6q52DT6hRIxVcz5v5fXOl1XsKf31v/cKQ8gd8rbAiwhX47kozYqLC7VKUuKDXpFBEqpWI0yjx/udXHIwaZwtQaIoCmzBihuylqIfigm7AFGbHoXh8PNRhoYIMD1cNDjGeP1OfBbuOXMOqWZn49uotzCzU2QRPlFqJ9i4jvrt6G3MmJaOlvZf1msUIfLHpHb6CTeGr1Uo0teqxsDgVwCAm5d4xIjbvqcCH5VeREBmGoGDYKS4hmzHqGWanRtsU+rql45AUq7Kt+0GrFW/tuICbLT24WN2OVXOyXBbKYiKJVNSN6fmT0nDJSYtGh96ID7+4BoOxHynxarzx8QXcaNSj8bbjppaSDyHBQUiMUeEvO8V395KiNTzBHl/rJYqW2928KedsuFpjJ7SWRcimlctxJnV9ky9xR95TRsuJils4canFZrQIkWfOviehekwdrrA7t6vpZUJwVz5R42tiIhUIDoZd90G+PZaQtvN0xqVrkZUciXmTdV43orhg+77Z0uo9ib++t8SQGsYbCstZUf3YVC100UrMLU52eUHGa1WsRo2QBSj0pWcTRlI1lRCbF62QywQJbHcNDqGeP1lIMHpNFnxwoApLpzteU1FOPCaO1WJecRrvNQsV+FLNTPBGzjHb885O06LfMoApeXc2We1dRnxYfhVzJ+lQ09zjcp449Qyp9XHqUovdxktKoexq6oin0jWGlPp5m1IvnZUJc5+Fc1NLPYvstCh8cbJOdBQh0Aq5AwV/MKSEpJxzIbbGTqhDQohn2pnjTMr6Jn+C6dAw9VnQa+pnle9cRoszeSb0e3LVcBGbXuYNmtt6sPXAVSyemoy6W714l6GXuPSJq23nFXKZ19L5nMH3fdPT6qX4nIZWPaJ4olr++N4SQ2oYTyssoUX1apXCpdAoXXhyGTVCFqA7sybcTecTkxfNVBbOBLYUBodQw8uZYUcV8lJDWZnXLtaocTe9w9c5x8zC5jBlKCLCZJDLQrDrSDUsA4NIilUhLUFlp1jEPKdeUz/rxktKoexPnYbYlDrXppZag4XZcUhLjOA1uNgItELuQMLXhpSYlHMuxHjihToknDlBhDrO/CEtiEJs1IINpkODPgCVS75zGS1s8oySud6oOZLCiJDimVKow+VQyIKg1YTZBskySxkofZKRFIGBQSsMxn6/6VzJhzNd6uz7liKd78ylFpSfrhPUPdKf3luAGFI2PKmwxBbVi4XNG8xl1PAtQF+2qxWTF+2q99ubQ9qEbCTZ7sNVo4ZtkyBk8KG/5hyfq2qB0WxBRpIGKfER+Pp8E4Ag2zMR+5z4Nl5S3C99g+EvsBmJzPeZrQun2CiCNwu5Rxu+NqTEppxLgVCHBJ8TRKpIvbeQYlgu06GxcEoqDn/bYBuAyiffmbq2pa0HMlmw3Qwfpsz1J8cRG54YQDwmJQrnr91CUqwaitAQTMlLwF0T7Q3QHYercLG6HW/tuACFPBjJcWq/HiEhVJd68vs29VlgMlvw972XJe8e6Q38R+uPYFLiNJhfnAKtRon5xSkOA23dgTnk09Rncflc1PBBrUbJOnxQ7HWJgRr+Sj0jruGv7t6vN4e0UbA9O7b7YA54FPvM6Wwqq8Czr3+NTWUVvMdpVAosnpoGrUaJxVPTJB/K6QrNbT346GA1Pj1agzFJETj6bYPdM2nvMjp9Tmw/W788F39+ep7d0Ggp2LK3Ej9/6TC27K2U9LxSwPd98r1LYoftls4ag788uxClsxzHTRACm6UzsnD3tFT8579Mc3lAp1iEDuHkW98bSvPx0i9m2V2zO/rRUzCH5bZ3GV06DzXIVKtR4t6F2dCoFBibHIk5k5JFyfctey9h2xdV+NF/laPsWDUAx+HDlHz11+G2Uj1TNu6+ayw0KgVqmrodNvqtHQZ0dPfZdNanR29g7byxeOXJOYIHUnsTsXsOT33fSrkM3YZ+zKPtAdOTPDscWkpIRGoYT3v+qG5dcyRuxEB5g7sMZvxobQHiosMFe8XZCnGZ3uiGW1349OgNUd5/dyJGzvKi9T1m3O40orPbjOLx8cjN0PosVC6kuJ7L28PmxZeqZkdsF0WtJhRr52X7Tc4xlbdf3ahHTFQYMnWRaLptwLIZ6Whu68Xbn1zErIk6NLf1sj4nPg+b1NG2+lY93tlV4XJET2zqiZh5Hc6QOpLkT9G4kYKvI1IUrqac+xq6fvPXOj6qKUefZQAPLx+Pcemuv4fMqAFzACqbzqJnLjS39bDOdlKFyV3STb5qQCPFMHGudDdTnwX//fczrKnMqjA5rtV3QBdnP+yaS8ZL8XzcqW/2p+YNujg1cjO0mJoXb9eCPxAghtQw3lBYUqbz0clJi0ZbZy8u13YKnhDOV4hLvfSbyipwsbrd5l0RslF0t16CLy9abzAjKkKJa/UdsAxYkZqgxrQJvgmVC1HK9LS5ti4TZhUm2QlUtlC5s5odIe3bxXRR3FRWgXd3V8JktvhV63TKqJ5RkGx7JhOyYvHie6fR3NaLHmM/XvzpLEybYD/k05upipvKKrDtiyrcVahDSzu7UceH2NQTT8zr8Pf0nNGOJ/WSO7PnTH0W3O7slWxgqqfx9zq+5DgVunv78dHB626nojHvixqAyqazNpVV2DXz4ZvtJLae1NeGqzvDxPmccc4cUAVZcUiNV2Hl7DG8z0qK5yNFfbO3mzfU3eri7P4pCwkOmHQ+Ov4jSQgu095lxNWbnThz+RZvyhsVtm3tMODQmaGw96Ez9WjtMDgcW3erC4fO1OOrc42iUgOY6QVShYLp6VPrluXhyQcmYd2yPEnOzcRZeFtoeiGVNpcYo8KsiUl46n+P2lIlKJRymcPfcz3jTWUVePq1Y07T9YChtJb/+skMh1Qc+r3dbOm0Wwc3mzudnteb0NM7NSqF3dpaPiODNf3MW6mKzW09w8+sG6cqW/CHH08XlTIoNvXEk9+Vv6bnEDyHGFnC5MjZOmzdfwW/3viV4L93J01ZCsTopdYOg2TXKySlbFNZBcpP13ksFQ1g11mNt7vtZEpjqx4AsH55Hu5fNJY1VVeoPJWy5MAdxKYoA8LS3ZylMsdFq1xOq5byOoXirZT+TWUVeP7N4y7JHXfw9PojEalh/CWFwhXClKFobB3K12V6kSjonosZBTqnhbiRqqH5ADebu5GbGY0nHpjE67Gobe60tayU2svd2mGwNcGgogye8loI8fCISYkqzI7DrMIk2/UzvaE7D1fhtW3nEBEuQ6aOu3bOlfbtzHQ+5r15cgaEp1I6hKwtb3jY6G2D7yrUiU7ZFZt64u15HQT/wBN6iS5LoiJCkZao5m03TMfUZ0F9Szd2HakWPDDV111BKYTIjq37K22NAty9XiERZ+q7uNGgx9zJKWhp90xTAjadxZe5wJztJMXnBQpC0918/XxcScsTGoWWstshRd2tLvyV1nRNbPdPV/FGZDTIarVaPXLmAKO+vh4LFy5EeXk5UlL8Z3aBGNq7jAgPC3XwtukNZvz8pcNo15ug1Sjx56fnQaNSoLXD4LT5Ql1LJ1IT+Iv+NpVV4NCZeswvTpG8GHnL3kp8c7EJU3ITcOhMPRZPTZO8WQAF13PiwtRnEezNLztWje3lVbh3YbbNi7Xr8DXs+boGuRlanKtqxT8tGItVs7M4z+HOc2a7t15TPz7YfxkLS9JQfvomHlgyjrPJhxjY7tVdhKxVVxHzPTJpbut265m1dxlFeU1vNnciLTFwinAJ7uEpvbSprAKNt7uhi40QLVOOnK1DdaMehwX8nViZ6ktaOwzYfvAaTlxsdvt627uMeOp/j9rO88qTczjfc0qur5iVjkUl6S5FUYTCJusaW/XQxXnGeeyObPU1eoPZ42uV7/kI/XyhxwndP2zeU4GDp+uxoCRF8gYZntgr8j1DU58FP/qvctt7+JdnF3pkPZKI1DCBHJGiCFOGsnpJuDwXQjwTzjwGtc2d+NvuSo+0rKTqXZrbemEw9eOPP54pqaeOOfzX3D+AfssAmm4Lq3cR45FiekOb23rwl10XMXuiDt9cHGpPW+Mkd19s+3Z6ESrbGlCHy3G5tgP/2H8VuRkxkgw/lKoWoaWtB4NWKxRymdPBmkKiX1zHuOutcnfWiVivXyAW/BNcx1N6qSgnHmmJajvZLXQsR0ZSJHIztJhdlORUZvhTMbszuBoFuIKYiDMl16fm6TzeOIlNBro7/1Hs5wUK3hgDwvV8xERxhVyn0IwWT4/AKcqJR0muNMN7Aef621uRUWJIDRNohlR9q16Ut8RT6U5RjJQjKbut0JXw3EnSpjswh//uOlKFs1dacfJSC+5bkI2187PdOj9baJwuNNXhcrR3GXGysgVzipLR1NYr6EUXWhzOJojZ1oDUE+SlEFxb91ei4kYH3tpxAanxKmz7oopTAQgxhLiO8fcCdALBk3qJKbvFpKfKQoIFOxG8XczuDkIbBfBBOW3ENDtwtekHYeThiYZJQueqSdHt0BlSOQOF6m9vNFQiqX3DeCKFgkqdcAdTnwWd3SYkxqhtP/NkKp2r1DZ1eqzvP1/our5VjxSRaQnNbT349cavbOHeP/xkOs5dbcOHwxt2rUaJl34xy+VUMjGhcSo1TMoUCGZaiS/SaVy9n+a2Huw4fN2WXpOXGY3cjBjW9S4kbM92TF//gO15eCINMdDwRgoLwTW8oZfqb3VJOtuQjUBO8RIDkScEKdiy9xIOnKyTvJRBaIq82JRzX+Ev7xuJSA0jteeP2VbUFY6crcOX3zXanae+VY93aQV7QtMxPI2zdD53Zx2wsamsAu9+ekn0M6Y3CqA8sZdu3EZijMqpx8YZYkPjlFdXSCREyDP8trIFgBUyWTDnnCVvICayQ78vdbh9es2MAh0eWZHHmtIoJPpFP2bd0nE4danFLlI32tt/+0sjAAI73tBLntYfvm6D7S08HeF2R4cSAoeyY9U4dLYePyjNwwqJjQOhkU9fzeZ0BjPTx1/0NzGkhpFSYYkdiMoGV3ckXazG5XQMX+GJzZq7BiUzpW18RgyykiOxsMR1IwrwXGhcyDM09Vnwxek6bN5TiXHpUfjp9yY6zFnyN9juqyArDsmxYVg1J8tpPZ8QQUodkxSrYk2ZCOR0Pr4uTHzzOgDvztwiuIa/6SWx+Gv6rCe6inqyHoM4PEYH1PvS3NaLihvtfvO++AKm44CrC6Y/PB/fX8EIRBcbgfnFKdBqlJhfnOJSRxylXIagoCDMo52H6g62oTQff/jxdL9J6+NDilkH1AyAlltdqB2en5MSp7F7xq6kpjC7rWlUCkk6wz26Ih+vPDlHso43Qp9hS3sPDg/PBdn3zU109/p2dosz+O4rISZCcLqZkJQhpVzm9owpX8/CYcI3C0jIvA5vzdwi+AdS6CWxeGquoFDY3tmyY9X40X+VO8z0k4JFU9N45wu5Apuc9DdZRJAGX78v/gJ9biggfu6ityERqWGkTqEoyonHtPx4u9kMYuHrjuQP6XxCcLdrU9mxauz56joUsiB8dfEW/ra70paWUpQTjyl5cWp8rlEAACAASURBVH4ZlZMyNC70GfI1/vDUXCd3kKqjl5iUF1cL3515hIXO55AKvi5MXPM62NZAYXYcZhQkYmah61FYgufwR70klpy0aCyckoqCsd6NpLC9s56MkFEpjGEKmaQpjHQ5uWJWBi5Vt5Po1AjGX9LVpEboHoQtUyIqQunxJhjuQAypYTzRHUmKtAkx3ZH8FVc3r5TSW790PLQRYdi0x7HNeqAYlO4i9BkW5cRj8rhYOyPK3RoFTxph7nb0ciXlRWz6mrMUOLb27J42rPi6MFHDtOnDe7nWwOY9FXhnVwXv0FCC7/BXvSSGsmPVeOn9s5zyhzmGQgq43llPpd95OoWRkpNjU6JIOu4owN+cnu7ibA/S0taDNn0votRKTgermC6YdPQGMwzGfo/WfRFDaphAa38eaLgi7Cmld+JSExK0YQgPk3ukzbo/IMRYEfoM6Y0/3FXw3igUd3UjwLZZ8oTA5IucsUWGtpdX8c69kgq+uWL0eR1ca8DTM0MI7hPoesmZ/GGOoZAKvnfWEx5/b8yrUchlXp/LxdRL/pjZQPBvnMmAw2dqcKqy1S7biMvBKlY/fXzoKr67eht/2elYWyUlxJAaJtAVViDS0tYDmSyYVzDnpEWjeHwC0hIjoYuUY/bkO0aUN4Q6X9qYVJ/vSWPFHQXvr4XiFPRNxao5mThfdZu1GFUKuAQ7MzKUkxYlaPChVPCdm5rXwbUGvDEzhOAega6X+ORPc1sP3qE1v5hRkCBp9gXbO0t1/fKEHPNWSpa35nIx9dJo6b4YiHg7tVwMzmSAXCbD3/dedsg2cjfSqjeYcaW2A1+crPO4s5AYUsMEusIKNLbsvYTTlbfw9q6LTgUzpfTUaqUt2uIJoc40mvjSxtg+3xVhxmWsSJnu4qqC99ZUcHegNhXpCRqPR1e4BDs9MiR08KG34VoDrqZLcEE81tIyEvQS19pjjqGQaig4Hb6uX55oJ+6JtW/qs+B2Z6+dPvB0Oh9TLy2ckoqX3j/rt0610Qxbarm/wScDLlxvQVREmOTZRgq5DFdutiMpVo2Wds86C4khNcxIUFiBQnNbDz4/XovKmg6XBLMnIiVMo4mvLobt87fsrXRJmLEZK55Id3H1+QRC4atCLnM5uiLVxp9uQDNT7vxl/gvXfUplcBKPtfSMFL3EtfaYYyg8BT2NtcfYj3a9Ea9vP+/3DRvYZkl6A6ZeKhgb5/dOtUDHFT3B13TI32CTAaY+CzbtuYRFk1OxcEoq7ipKltRAz8scGmuzZGqaRzMuiEuB4HUSY9TITo1C8fh4l9p8St0ilK29LF9raObndxvMODTcdvzQmXq0dhhEfX7prDG2lrnNbT1252pu63br3qTA0y1Yqfb27iK27XzZsWr8v1eP4psLDZJ8Ph2qjT6zjauvabndbRshICWmPgu2l1ehXW/C9vIqyb5TwsgnXOn5jZ82MgwLSoZav98zd4wt3cfVkRzewNRngdVqtY208LY+oOsltn8TpMNVPREXrbIbaSDF+BZvopTLMH2CDv+z7Ttcqev0yF5Do1JAGxkm+Xnp+N5NSvAZpj6LVzbJbJ+xfnkeWtq68fjaApeuoXTWGCyamibJ9VNG04GTN+2MpvXLc7FqzhjW+TrMz59fnIJDZ+pdFmbUeRJj1HbnYs664sIb36UnKDtWje3lVbh3YbYkClqowDT1WbD3mxpMyonDWzsu4np9F9Yvz3P78+kwDXSuteQtDp66gdqWXhweXltSzqFTymW4Z14Wdhy+PirmnxiNRjz77LOoqKhASEgIfv3rX2P+/PkOxw0MDOCFF17AN998g/7+fixYsAD/+q//iqCgIB9ctf+xZW+lTe6uX57r0c96dEU+Vs4aA21kGJrajA7y3t+gz5I8LFIfSHkNfP8muI+7emJDaT5W3JURcEYUhZR7OV/hFxEpo9GIJ598EosXL8ayZctw6NAh3uPNZjNWrFiBe+65x+7nr7/+OhYtWoRFixbh9ddf9+QlBzyeHEoo9DMSYiLcenmYf+uOF3z98lz8+el5DsqcT6DRP39DaT5e+sUsSTanG0rz8eLPZgo+lze+S0/gyyiGUi7D+mXj8OV3jcMKrE5yzzRbVFPqzxD6zBpvd0MXp7Hzbtc2SReZ+uBAJTp7zEhPjEB3b59k5/VX3n33XajVahw4cABvvfUWnn/+eRgMjpHojz76CNXV1di5cyf27NmDqqoqfPbZZz64Yv9DimHtYgkPG0pj5ZL3/sbcyal4cMk4UfpgtDBSot5SDEYPVCOKIpCNKMBPDCmhSonilVdewcSJE+1+durUKezbtw9lZWUoKyvDvn37cOrUKU9fekDijQ2stzfJUhgT7nompRRmYiJRgZpS5esp7jMKkrF4aqpbCswZ9A2b1Gl+Yta8LjYCja16zKOlgaQnRUlyHe1dRrTr+3DwdD2+vdqKfd/U+m26lFTs3bsX999/PwAgIyMDEyZMwNGjRx2Ou3z5MmbMmIHQ0FDIZDLcdddd2L17t7cv1y+RYgMpBub74q+RKCZKucytSJTYVPNAIFCdh1z4wrAf6TLam/iFISVUKQHA6dOnUVNTg9WrV9v9/LPPPsOaNWugVCqhVCqxZs0a4vnjwBsbWG9ukgPZmHAXXxsj7uLrvPv1y/M8rsCoSJSU3ne+Nc+1/hdMycTd01Lx+8enSerd1kaGQauRY86kZK9tin1NY2MjkpPvdGRMSkpCc3Ozw3H5+fk4ePAgent70dvbiy+++AINDew1eXq9HvX19Xb/sZ1zJCF2A+nqe+MJHREIemZTWQWefu0YNpVV+PpSbLR3Gd36+5Gq770pM/2tdjfQ8Ytdl1Cl1Nvbiz/+8Y948803UVNTY/e7pqYmTJ061e4cXBEpvV4PvV5v97ORrrCYeCMv1Vu5r5QxQdXa+MqY0BvMkIeGeP3zAz3H2NfX7Q0FxlWH5ypca95ZzVlCnGc6vz2wOBftXUbcuzB7RBhRa9euRWNjI+vvvv76a8Hnueeee1BXV4cHH3wQarUahYWFOH78OOuxmzdvxsaNG1263kBG6Hpxp55Kah0hdW2nJ2jtMNg1LvKHOprNeypw8HQ9FpSkCG4KxMTV7zJQ64ilxt9qd0cCXllVUimlP/3pT3jooYeQkJDgYEiJYbQqLCbeECreEly+Nia27r+M1g4jzly+5RPlShSE/8PXvMQVmGue6al19j7cbOlEWoI06X2A8EYfgcDOnTt5f6/T6dDQ0ACtVgtgyJE3bdo0h+OCg4Px1FNP4amnngIAvPPOO8jKymI956OPPoq1a9fa/ay5uRnr1q1z5RZGFFJs/qTSEWLfM19t4KmObu40QWLS3NaDxBi1S3/b3mXEwdNDht3B0/W2xh+uIPa7DATD11tI7dQjeMmQkkopnTlzBkePHsUbb7wBs9mMrq4urFy5Ert370ZSUpKdsdbU1ISkpCTWzyMKa2Tiy0jU5Zp21DR1C1auhNGJ1EqLvsbEeGo3lVXYNlikiF08y5Ytw7Zt21BQUICamhpcuHABL7/8ssNxZrMZfX19iIiIQGNjI7Zu3Yo///nPrOfUaDQBPSvKk0i1+ZNCJot5z3y9gZeyo5u7MoNqQU9FpNx1vIiJRIkxfEcDUjv1Rjt+sZqEKiV6ke6JEyfw4osvYseOHbZz/Od//qfNGNq1axd+85vfsH4eUVgEKdGoFBifoUVMZJgtIjXaBTXBNwjx1N5s6bRL+VlQkoy0ROkiU6OBH/7wh3jmmWewePFiBAcH4/e//z3U6iFP/auvvor4+Hg8+OCD6O7uxsMPP4zg4KFy5Keffhr5+cRwdQV/2vwJec/8ZQMvVSSKLjOWzUhzqQEGvQW9t/BV6j81j9Jf8edrCzT8YrcnVCnxMW3aNCxZsgQrVqwAAKxZs8auZopAcAWhaRkPLhkPvcHs8lwsdyH53wQKZ+sgLSHKLuWHGFHiCQ8Px2uvvcb6uyeeeML2/7Gxsdi7d6+3LmvE40+bP2fvmb/U7kqBq/MN2fBFCrC3U/+9OR+N4HuCrFar1dcX4Q/U19dj4cKFKC8vR0pKiq8vJ+Bp7TD4vLDVXXydliEUb19ne5dxRNXDjFZuNncSI8rPIXop8BlJTq7mtm6vDwUONPQGM37+0mG0603QapT489Pz/MoBQJAev2h/TvAOzW09Xvkcf2y5KpZAabHq7evcvKcCT/3vUWzeE7jfLWEIYkQRCJ5npBhRgPD5hqMZqeajkTlPgQMxpEYJm8oq8OuNX3ncuGntMKCypg33zM1CZU1bwA4DDJT5TN68TmbXJXfngRAIBAJhdOCvzkhP4O6AXTLnKbAghtQogFko2tzWbfud1MItLlqF3IwY7DhyHbkZMQGd3hcSHIT0xAiEBAf5+lJ48dZQW6rrklajlKTrEoFAIPiKQN7YB9q1lx2rxo/+qxxlx6p9fSlew51IlJTD2wmehxhSowCqUFSrUdoVinpCuDGHAAZqRMrUZ8EHB67i26ut+ODAVb9XXN6KmD26Ih+vPDnH5WGKhMDF398BAkEogbyxD7Rrp6ef7/2mhmQyOEGq1ECC9yCG1ChhQ2k+XvzZTNv8B0/V1lBDACmjLS5aFZAbsEBJ7fMFJBI1+gi0zRuBwEWg1L+yIfW11zZ3SnRl3FC6NC0xAlPzEvDU/x4lKWtOcDc1kOBdiCE1iqAXinrSUNhQmo+XfjELG0rzA3oD5q2UOQLBnwnkjSeBwCSQnWRSXvumsgr89i8nvNIUqnTWGPzH4zNsNbYkZc05JBIVOASOBCFIjidnK1CRKH8YSOgOUl1vbXMn0kmXNEIAMpLm4RAIgPfnCklJ6awxmDMp2a2Ndm2z/VDu+cXJSE/yrH7SRoZh8dQ023wlYigQRgqBJ0UILsM2aduTikQpl2FBSQoOnq7HgpKUgFRaUrCprMI2yJBKrSQQAolA3ngSCGwE6lqWYm5geqL9UG5PG1EU65fnYtWcMcSIIowoSGrfKMEX7TT1BjOOnWtCtEaBY+eaRmUon+n5q23yfE46geAJAnXjSSCMFKRMs91Qmo/fPz7N6849YkQRRhrEkBoFuNJOUwqjR6NSYO6kZHTozZjrZipCoEJ5/qjmG0I9f1LUoZDuSNJi6rOQZ0ogEHyG1PVd3opEjUZILenogbgYRwFUO02huclb9lbajnW3awwJ5Q95/sTkoEuRurF5T4UtpdLbrcpNfZYRF70oP1mLm7d6cPiMb54pgUAgACTNNhCQQocTAgcSkRolCG2n6YlhcKPZiKIQE4lyN3Wjvcto64508HS9V6MogdylkQtTnwWtXUYcPuObZ0ogEAh0iBHlv5Aup6MPYkiNIoQYNGQYnG+RInVDGxmGBSVD6YQLSlK8NvdppCoQpVyGuMgwzCv2/jMlEAgEQuAQyO31Ca4RZLVarb6+CH+gvr4eCxcuRHl5OVJSUnx9OT6HrcMfwXtIkR7X3mX0+oZ/JKc0mPos6DX2EyOK4DWIXiIQApORmOJOYId8ywRWiBHlW6QQwL7Y8I/k/H2lXDYi74tAIBAI0kJ0xeiBpPYRCARJIQqEQCD4I60dBl9fAoFAGGEQQ4pAIBAIBMKIZlNZBZ5+7Rg2lVX4+lIIBMIIghhSBAKBQCAQRiytHQa7wegkMkUgEKSCGFIEAoFAIBBGLHHRKrvB6HHRKl9fEoFAGCGQYgYCgUAgEAgjmg2l+VhxVwYxoggEgqSQiBSBQCAQCIQRDzGiRi56g3nEzC4kBBYkIkUgEAgEAoFACEi27r+M1g4jzly+NSJnGBL8GxKRIhAIBAKBQCAEHHqDGZdr2nHm8i20603YXl5FIlMEr0IMKQLBSxDhTiAQCAR/ItD1kkalwPgMLYrHx0OrUeLehdlkliHBq5DVRiB4gbJj1dheXkXSDggEAoHgF4wUvfTgkvHQG8x4fG0BMaIIXsdvIlJGoxFPPvkkFi9ejGXLluHQoUO8x5vNZqxYsQL33HOP7Wc7duxASUkJVq9ejdWrV+OnP/2ppy+bQHCKqc+C7eVVJO2AQCAQCH7BSNNLGpWCGFEEn+A3q+7dd9+FWq3GgQMHUFNTg3Xr1mH//v1Qqdi77LzyyiuYOHEiLl++bPfzmTNn4rXXXvPGJRMIglDKZbh3YbbN80eEPYFAIBB8CdFLBII0+M2bs3fvXrzwwgsAgIyMDEyYMAFHjx7F8uXLHY49ffo0ampq8P3vf9/BkBKCXq+HXq+3+1lzc7NrF04gCKB01hgsmppGlBWBQCAQ/AKilwgE9/Gbt6exsRHJycm2fyclJbEaN729vfjjH/+IN998EzU1NQ6/P3nyJFavXg21Wo3HHnsM8+bNczhm8+bN2Lhxo5SXTyA4hSgrAmFk8Mknn+D//u//cP36dTz33HNYv34957Effvgh3nnnHVitVsyZMwfPP/88goP9JqueMMoheolAcA+vvUFr165FY2Mj6+++/vprwef505/+hIceeggJCQkOhtS8efNw9913Q6lU4tKlS3jsscfw3nvvISsry+64Rx99FGvXrrX7WXNzM9atWyf4OggEAoEwOsnNzcUrr7yCt99+m/e4uro6bNy4Ebt27UJUVBQee+wxfPrpp1izZo2XrpRAIBAInsRrhtTOnTt5f6/T6dDQ0ACtVgsAaGpqwrRp0xyOO3PmDI4ePYo33ngDZrMZXV1dWLlyJXbv3m37WwDIy8vD5MmTcf78eQdDSqPRQKPRSHBXBAKBQBht5OTkAIDTyNLnn3+ORYsW2XTTvffeix07drAaUiTlnEAgEAIPv4npLlu2DNu2bUNBQQFqampw4cIFvPzyyw7H7d692/b/J06cwIsvvogdO3YAAFpaWpCQkAAAaGhowHfffYcf//jH3rkBAoFAIBBoNDU1QafT2f6t0+nQ1NTEeixJOScQCITAw28MqR/+8Id45plnsHjxYgQHB+P3v/891Go1AODVV19FfHw8HnzwQd5zvP/++ygvL0dISAgA4Je//CXy8vI8fu0EAoFAGDk4S0WndIyUkJRzAoFACDz8xpAKDw/nbFv+xBNPsP582rRptmgUMGQ4/fKXv/TI9REIBAJhdOAsFV0oSUlJdgZZY2MjkpKSWI8lKecEAoEQeJDWQQQCgUAgeIClS5fiiy++QHt7OwYHB7F9+3bWkR4EAoFACEyIIUUgEAgEggjKysowZ84c7Nu3D6+++irmzJmDa9euARhKRd+6dSsAIDU1FT/5yU9w3333YcmSJUhJScGqVat8eekEAoFAkJAgq9Vq9fVF+AP19fVYuHAhysvLkZKS4uvLIRAIBMIoh+glAoFA8G/8pkbK1wwMDAAg7WYJBALBlyQmJkImI6oJIHqJQCAQ/AE+vUS01TCtra0AQDokEQgEgg8h0Zc7EL1EIBAIvodPL5HUvmFMJhMuXryIuLg4l1rbUm1q33//fSQmJnrgCv0bcv/k/kfz/QPkGUh1/yQidQeil9yD3P/ovn+APANy/57XS0RbDaNUKlFSUuL2eRITE0e1N5XcP7n/0Xz/AHkGo/3+pYToJWkg9z+67x8gz4Dcv+fun3TtIxAIBAKBQCAQCASREEOKQCAQCAQCgUAgEERCDCkCgUAgEAgEAoFAEEnIv//7v/+7ry9ipKBQKDBt2jQoFApfX4pPIPdP7n803z9AnsFov39/ZLR/J+T+R/f9A+QZkPv37P2Trn0EAoFAIBAIBAKBIBKS2kcgEAgEAoFAIBAIIiGGFIFAIBAIBAKBQCCIhBhSEnHjxg3cf//9WLp0Ke6//37U1NT4+pLcoqOjA4899hiWLl2KlStX4mc/+xna29sBAN999x1WrVqFpUuX4gc/+AHa2tpsf+fq7/yZjRs3Yty4cbh69SqA0XP/ZrMZ//Zv/4YlS5Zg5cqV+M1vfgOAf627+jt/5NChQ1izZg1Wr16NVatWYf/+/QBG7v2/+OKLWLBggd1aBzxzv/7+LEYKI+05E710B6KXiF4ieslP9JKVIAkPP/ywddeuXVar1WrdtWuX9eGHH/bxFblHR0eH9fjx47Z/v/DCC9Znn33WOjAwYF20aJH11KlTVqvVan399detzzzzjNVqtbr8O3/m4sWL1h/+8IfW+fPnW69cuTKq7v8//uM/rH/4wx+sg4ODVqvVam1tbbVarfxr3dXf+RuDg4PWkpIS65UrV6xWq9VaWVlpLSoqsg4MDIzY+z916pS1sbHRttYpPHG//v4sRgoj7TkTvTQE0UtEL1mtRC/5i14ihpQE3L5921pcXGy1WCxWq9VqtVgs1uLiYmtbW5uPr0w69u3bZ3300Uet586ds65YscL287a2NmtRUZHVarW6/Dt/xWw2W++77z5rXV2d7SUeLfff09NjLS4utvb09Nj9nG+tu/o7f2RwcNA6depU6+nTp61Wq9V68uRJ65IlS0bF/dMVlifuN5CeRSAzGp4z0UtEL1mtRC+Nhvv3Z70kcy/oRgCApqYmJCQkICQkBAAQEhKC+Ph4NDU1QavV+vjq3GdwcBBbt27FggUL0NTUBJ1OZ/udVqvF4OAgOjs7Xf5dVFSUV+9HKK+++ipWrVqFlJQU289Gy/3X1dX9//buP6aq+o/j+PPCDW5Uxq/sXvy5Wjlcq12vdldqbKQNg9n6g81V9GPSFRsqU2qOWi0NJ7IuFRo/1H9qa66cK5PYmKPAyB8w7qZM3BgtIC4/QisTF+vC/f7BPAv7olwE7wVej//O/dxzz+d9OOe+9uacey/R0dHs3buX06dPc9ddd7FlyxYsFsuox7rf7x/XWCieIyaTiY8++og33niDqKgo+vv7KS8vv+G5Pp3qv2Yy6p2q+2KqUS5Nv/dlUC4pl5RLoZZL+oyU3NTOnTuJioripZdeCvZUbhuPx0NTUxMvvPBCsKcSFIODg3R0dLB48WKOHDlCbm4umzZt4urVq8Ge2m3h8/koKyvj008/5fvvv6ekpIScnJwZU79IqFMuzTzKJeVSKNIVqQlgs9no6elhcHCQ8PBwBgcH6e3txWazBXtqt6ygoIC2tjZKS0sJCwvDZrPh9XqN8UuXLhEWFkZ0dPS4x0JRfX09ra2tPP300wB0d3ezfv16MjIyZkT9NpsNs9lMWloaAI899hgxMTFYLJZRj3W/3z+usVDU3NxMb28vDocDAIfDwZ133klkZOSMqP+aG723jbfeqbovphrl0vR7X1YuKZeUS6GXS7oiNQHi4uJITEzk2LFjABw7dozExMSQvjQ6Fm63m6amJvbt20dERAQAjzzyCH///TcNDQ0AHDp0iJSUlFsaC0Uul4sff/yR6upqqqursVqtHDx4kMzMzBlRf2xsLE6nk7q6OmD422wuXrzIwoULRz3Wb3QeTLVzxGq10t3dzc8//wxAa2srFy9eZMGCBTOi/mvGW9N03BdTzXTdz8ol5ZJySbkUSrlk8vv9/kmqdUZpbW1l+/btXL58mVmzZlFQUMADDzwQ7GmNW0tLC2lpaSxcuBCLxQLA3Llz2bdvH42Njbz33nsMDAwwZ84cCgsLiY+PBxj3WKhLTk6mtLSUhx9+eMbU39HRQV5eHn/88Qdms5mcnBySkpJueKyPdywUHT16lP3792MymQDYvHkzq1atmrb1f/DBB1RVVdHX10dMTAzR0dFUVFRMSr2hvi+mi+m2n5VLIymXlEvKpeDnkhopERERERGRAOnWPhERERERkQCpkRIREREREQmQGikREREREZEAqZESEREREREJkBopERERERGRAKmRErmJ1NRUTp8+HbTte71e7HY7g4ODE/7adrudjo6Oca2bkZHBV199NcEzEhGRm1Eu/X/KJbnd1EiJ3ERFRQVOpxOA4uJicnNzJ3V7ycnJ/PTTT8ZyQkICHo+H8PDwCd+Wx+Nh3rx5E/66IiIyeZRLIqFBjZTIbeTz+YI9BREREYNySWT81EiJ3MS1/8TV1tZSVlZGZWUldrudtWvXAvDXX3+Rl5fHihUrWLlyJUVFRcbtDkeOHGHdunXs2rULp9NJcXEx7e3tvPzyyzidTpxOJ9u2bePy5csAvPnmm3i9XrKysrDb7ezfv59ff/2VRYsWGWHX09NDVlYWjz/+OKtXr+bLL7805lpcXMyWLVt46623sNvtpKamcu7cuVFrW7RoEW1tbQBs376d999/H5fLhd1uJz09nfb2duO5dXV1pKSk4HA42LFjB9f/lvfhw4dZs2YNy5YtY/369XR2dgJQXl5Oenq6Mf8vvviC1NRUBgYGbunvIiIyUymXhimXJNjUSImM0VNPPcWGDRtYs2YNHo+Ho0ePAsNv9GazmaqqKr7++mvq6upG3KN99uxZ5s2bR11dHRs3bsTv97NhwwZOnDhBZWUl3d3dFBcXA1BYWEhCQgKlpaV4PB5ef/31/8xj69atWK1WTpw4wSeffILb7ebkyZPGeHV1NampqTQ0NJCcnMzOnTvHXON3331HdnY29fX1zJ8/n6KiIgAuXbpEdnY2OTk5nDp1ivnz59PY2Gisd/z4ccrKyti7dy8nT57E4XCwbds2ADIzM4mIiKCkpIRffvmFoqIiCgsLiYyMDGDvi4jI9ZRLyiUJLjVSIregr6+Pmpoa8vLyiIqKIi4ujldffZWKigrjObNnzyYjIwOz2YzFYmHBggUsX76ciIgIYmNjee2116ivrx/T9rq6umhsbCQ3N5fIyEgSExNJT0/nm2++MZ7jcDhISkoiPDyc5557jgsXLoy5nlWrVvHoo49iNptZu3Ytzc3NANTW1vLQQw+RkpLCHXfcwSuvvEJ8fLyx3qFDh3C5XDz44IOYzWaysrJobm6ms7OTsLAwCgoK+Pzzz9m4cSOZmZksXrx4zHMSEZGxUy4NUy7J7WAO9gREpjKv14vP52PFihXGY0NDQ9hsNmPZarWOWKevr4/8/HwaGhro7+/H7/cza9asMW2vt7eXe++9l7vvvtt4LCEhgaamX8424gAAApNJREFUJmP530FisVgYGBjA5/NhNt/8dL9+3atXrxrb/XcdJpNpRI1er5ddu3ZRUFBgPOb3++np6WHOnDnMnTsXp9NJTU0NL7744phqFRGRwCmXhimX5HZQIyUSAJPJNGLZarUSERHBqVOnRg2E69dxu92YTCa+/fZboqOjOX78ODt27BjT9mfPns2ff/7JlStXjNDq6uri/vvvH0c1Y3fffffR3d1tLPv9frq6uoxlm81GVlaWcX/+9X744Qc8Hg9PPPEEe/bsGXO9IiJyY8qlYcolCQbd2icSgLi4ODo7OxkaGgKGA2T58uXs3r2bK1euMDQ0RHt7O2fOnBn1Nfr7+4mKiuKee+6hp6eHAwcOjBiPj48f9Tc0bDYbdrsdt9vNwMAAFy5c4PDhw6MGxURJSkqipaWFqqoqfD4fn332GX19fcb4unXrKC8vp6WlBRj+oHNlZSUwfB/7O++8Q35+Prt376a6upqamppJna+IyEyhXFIuSfCokRIJQEpKCgBOp5Pnn38egD179vDPP//w7LPPsmzZMjZv3sxvv/026mtkZ2dz/vx5li5disvl4plnnhkx7nK5KCkpYenSpRw8ePA/67vdbjo7O1m5ciXZ2dls2rSJJ598cgKr/K/Y2Fg+/vhjPvzwQ5xOJ21tbSxZssQYX716NZmZmWzdupUlS5aQlpZGbW0tAO+++y7JyckkJSURExNDfn4+b7/9Nr///vukzllEZCZQLimXJHhM/uu/K1JERERERERuSFekREREREREAqRGSkREREREJEBqpERERERERAKkRkpERERERCRAaqREREREREQCpEZKREREREQkQGqkREREREREAqRGSkREREREJEBqpERERERERAL0P5fPMRChTV81AAAAAElFTkSuQmCC\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "ax = pypesto.visualize.sampling_parameters_trace(res, use_problem_bounds=False, size=(12,5))" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "By visual inspection one can see that the chain is already converged from the start. This is already showing the benefit of initiating the chain at the optimal parameter vector. However, this may not be always the case." + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Geweke burn-in index: 0\n" + ] + }, + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "pypesto.sampling.geweke_test(result=res)\n", + "ax = pypesto.visualize.sampling_parameters_trace(res, use_problem_bounds=False, size=(12,5))" + ] + } + ], + "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": "3.8.2" + } + }, + "nbformat": 4, + "nbformat_minor": 4 +} diff --git a/doc/example/storage.ipynb b/doc/example/storage.ipynb new file mode 100644 index 000000000..ab9fe0ea0 --- /dev/null +++ b/doc/example/storage.ipynb @@ -0,0 +1,513 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Storage\n", + "\n", + "This notebook illustrates how simulations and results can be saved to file." + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "metadata": {}, + "outputs": [], + "source": [ + "import pypesto\n", + "import numpy as np\n", + "import scipy as sp\n", + "import matplotlib.pyplot as plt\n", + "from pypesto.storage import (save_to_hdf5, read_from_hdf5)\n", + "import tempfile\n", + "\n", + "%matplotlib inline" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Define the objective and problem" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": {}, + "outputs": [], + "source": [ + "objective = pypesto.Objective(fun=sp.optimize.rosen, \n", + " grad=sp.optimize.rosen_der, \n", + " hess=sp.optimize.rosen_hess)\n", + "\n", + "dim_full = 10\n", + "lb = -3 * np.ones((dim_full, 1))\n", + "ub = 3 * np.ones((dim_full, 1))\n", + "\n", + "problem = pypesto.Problem(objective=objective, lb=lb, ub=ub)\n", + "\n", + "# create optimizers\n", + "optimizer = pypesto.ScipyOptimizer(method='l-bfgs-b')\n", + "\n", + "# set number of starts\n", + "n_starts = 20" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Objective function traces\n", + "\n", + "During optimization, it is possible to regularly write the objective function trace to file. This is useful e.g. when runs fail, or for various diagnostics. Currently, pyPESTO can save histories to 3 backends: in-memory, as CSV files, or to HDF5 files." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Memory History" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "To record the history in-memory, just set `trace_record=True` in the `pypesto.HistoryOptions`. Then, the optimization result contains those histories:" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": {}, + "outputs": [], + "source": [ + "# record the history\n", + "history_options = pypesto.HistoryOptions(trace_record=True)\n", + "\n", + "# Run optimizaitons\n", + "result = pypesto.minimize(\n", + " problem=problem, optimizer=optimizer,\n", + " n_starts=n_starts, history_options=history_options)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Now, in addition to queries on the result, we can also access the" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "History type: \n" + ] + }, + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "print(\"History type: \", type(result.optimize_result.list[0].history))\n", + "# print(\"Function value trace of best run: \", result.optimize_result.list[0].history.get_fval_trace())\n", + "\n", + "fig, ax = plt.subplots(1, 2)\n", + "pypesto.visualize.waterfall(result, ax=ax[0])\n", + "pypesto.visualize.optimizer_history(result, ax=ax[1])\n", + "fig.set_size_inches((15, 5))" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### CSV History" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "The in-memory storage is however not stored anywhere. To do that, it is possible to store either to CSV or HDF5. This is specified via the `storage_file` option. If it ends in `.csv`, a `pypesto.objective.history.CsvHistory` will be employed; if it ends in `.hdf5` a `pypesto.objective.history.Hdf5History`. Occurrences of the substring `{id}` in the filename are replaced by the multistart id, allowing to maintain a separate file per run (this is necessary for CSV as otherwise runs are overwritten)." + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": {}, + "outputs": [], + "source": [ + "# record the history and store to CSV\n", + "history_options = pypesto.HistoryOptions(trace_record=True, storage_file='history_{id}.csv')\n", + "\n", + "# Run optimizaitons\n", + "result = pypesto.minimize(\n", + " problem=problem, optimizer=optimizer,\n", + " n_starts=n_starts, history_options=history_options)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Note that for this simple cost function, saving to CSV takes a considerable amount of time. This overhead decreases for more costly simulators, e.g. using ODE simulations via AMICI." + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "History type: \n" + ] + }, + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "print(\"History type: \", type(result.optimize_result.list[0].history))\n", + "# print(\"Function value trace of best run: \", result.optimize_result.list[0].history.get_fval_trace())\n", + "\n", + "fig, ax = plt.subplots(1, 2)\n", + "pypesto.visualize.waterfall(result, ax=ax[0])\n", + "pypesto.visualize.optimizer_history(result, ax=ax[1])\n", + "fig.set_size_inches((15, 5))" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### HDF5 History" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "TODO: This is not fully implemented yet (it's on the way ...)." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Result storage\n", + "\n", + "Result objects can be stored to HDF5 files. When appliable, this is preferable to just pickling results, which is not guaranteed to be reproducible in the future." + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "metadata": {}, + "outputs": [], + "source": [ + "# Run optimizaitons\n", + "result = pypesto.minimize(\n", + " problem=problem, optimizer=optimizer,\n", + " n_starts=n_starts)" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "[{'id': '16',\n", + " 'x': array([0.99999998, 0.99999999, 0.99999999, 1.00000002, 1.00000004,\n", + " 1.00000005, 1.00000011, 1.00000019, 1.00000041, 1.00000086]),\n", + " 'fval': 1.0840759188627262e-12,\n", + " 'grad': array([-1.54076893e-05, 4.88166217e-06, -1.27059470e-05, 6.96391071e-06,\n", + " 1.48065820e-05, -1.19529462e-05, 1.62532245e-05, -1.91045260e-05,\n", + " -1.18540309e-05, 9.49378891e-06]),\n", + " 'hess': None,\n", + " 'res': None,\n", + " 'sres': None,\n", + " 'n_fval': 68,\n", + " 'n_grad': 68,\n", + " 'n_hess': 0,\n", + " 'n_res': 0,\n", + " 'n_sres': 0,\n", + " 'x0': array([-2.06905833, -0.19206942, -1.72867234, -2.33804033, -0.71061311,\n", + " -2.98146846, -1.10208315, -0.02865718, 2.40969018, -2.71535605]),\n", + " 'fval0': 28216.041116743356,\n", + " 'history': ,\n", + " 'exitflag': 0,\n", + " 'time': 0.017784595489501953,\n", + " 'message': b'CONVERGENCE: REL_REDUCTION_OF_F_<=_FACTR*EPSMCH'},\n", + " {'id': '18',\n", + " 'x': array([0.99999998, 0.99999997, 1.00000004, 1.00000003, 1.00000008,\n", + " 1.00000005, 1.00000001, 1.00000002, 1.00000016, 1.00000028]),\n", + " 'fval': 4.7323128234188734e-12,\n", + " 'grad': array([-5.95491904e-06, -3.45232841e-05, 3.78255472e-05, -1.56002304e-05,\n", + " 5.19710685e-05, 9.03199095e-06, -1.61464965e-05, -4.44088779e-05,\n", + " 3.77395966e-05, -7.65640382e-06]),\n", + " 'hess': None,\n", + " 'res': None,\n", + " 'sres': None,\n", + " 'n_fval': 83,\n", + " 'n_grad': 83,\n", + " 'n_hess': 0,\n", + " 'n_res': 0,\n", + " 'n_sres': 0,\n", + " 'x0': array([ 2.09368986, -1.92757011, 2.17342608, 0.94097953, -1.36443024,\n", + " -0.4115728 , 2.10149021, 1.64481536, 0.66254531, 0.15108917]),\n", + " 'fval0': 8262.214270452409,\n", + " 'history': ,\n", + " 'exitflag': 0,\n", + " 'time': 0.018738746643066406,\n", + " 'message': b'CONVERGENCE: REL_REDUCTION_OF_F_<=_FACTR*EPSMCH'}]" + ] + }, + "execution_count": 8, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "result.optimize_result.list[0:2]" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "As usual, having obtained our result, we can directly perform some plots:" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 9, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "import pypesto.visualize\n", + "\n", + "# plot waterfalls\n", + "pypesto.visualize.waterfall(result, size=(15,6))" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Save optimization result as HDF5 file\n", + "\n", + "The optimization result can be saved via a `pypesto.OptimizationResultHDF5Writer`." + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "metadata": {}, + "outputs": [], + "source": [ + "fn = tempfile.mktemp(\".hdf5\")\n", + "\n", + "# Write result\n", + "hdf5_writer = save_to_hdf5.OptimizationResultHDF5Writer(fn)\n", + "hdf5_writer.write(result)\n", + "\n", + "# Write problem\n", + "hdf5_writer = save_to_hdf5.ProblemHDF5Writer(fn)\n", + "hdf5_writer.write(problem)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Read optimization result from HDF5 file\n", + "\n", + "When reading in the stored result again, we recover the original optimization result:" + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "metadata": {}, + "outputs": [], + "source": [ + "# Read result and problem\n", + "hdf5_reader = read_from_hdf5.OptimizationResultHDF5Reader(fn)\n", + "result = hdf5_reader.read()" + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "[{'id': '16',\n", + " 'x': array([0.99999998, 0.99999999, 0.99999999, 1.00000002, 1.00000004,\n", + " 1.00000005, 1.00000011, 1.00000019, 1.00000041, 1.00000086]),\n", + " 'fval': 1.0840759188627262e-12,\n", + " 'grad': array([-1.54076893e-05, 4.88166217e-06, -1.27059470e-05, 6.96391071e-06,\n", + " 1.48065820e-05, -1.19529462e-05, 1.62532245e-05, -1.91045260e-05,\n", + " -1.18540309e-05, 9.49378891e-06]),\n", + " 'hess': None,\n", + " 'res': None,\n", + " 'sres': None,\n", + " 'n_fval': 68,\n", + " 'n_grad': 68,\n", + " 'n_hess': 0,\n", + " 'n_res': 0,\n", + " 'n_sres': 0,\n", + " 'x0': array([-2.06905833, -0.19206942, -1.72867234, -2.33804033, -0.71061311,\n", + " -2.98146846, -1.10208315, -0.02865718, 2.40969018, -2.71535605]),\n", + " 'fval0': 28216.041116743356,\n", + " 'history': None,\n", + " 'exitflag': 0,\n", + " 'time': 0.017784595489501953,\n", + " 'message': b'CONVERGENCE: REL_REDUCTION_OF_F_<=_FACTR*EPSMCH'},\n", + " {'id': '18',\n", + " 'x': array([0.99999998, 0.99999997, 1.00000004, 1.00000003, 1.00000008,\n", + " 1.00000005, 1.00000001, 1.00000002, 1.00000016, 1.00000028]),\n", + " 'fval': 4.7323128234188734e-12,\n", + " 'grad': array([-5.95491904e-06, -3.45232841e-05, 3.78255472e-05, -1.56002304e-05,\n", + " 5.19710685e-05, 9.03199095e-06, -1.61464965e-05, -4.44088779e-05,\n", + " 3.77395966e-05, -7.65640382e-06]),\n", + " 'hess': None,\n", + " 'res': None,\n", + " 'sres': None,\n", + " 'n_fval': 83,\n", + " 'n_grad': 83,\n", + " 'n_hess': 0,\n", + " 'n_res': 0,\n", + " 'n_sres': 0,\n", + " 'x0': array([ 2.09368986, -1.92757011, 2.17342608, 0.94097953, -1.36443024,\n", + " -0.4115728 , 2.10149021, 1.64481536, 0.66254531, 0.15108917]),\n", + " 'fval0': 8262.214270452409,\n", + " 'history': None,\n", + " 'exitflag': 0,\n", + " 'time': 0.018738746643066406,\n", + " 'message': b'CONVERGENCE: REL_REDUCTION_OF_F_<=_FACTR*EPSMCH'}]" + ] + }, + "execution_count": 12, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "result.optimize_result.list[0:2]" + ] + }, + { + "cell_type": "code", + "execution_count": 13, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 13, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "# plot waterfalls\n", + "pypesto.visualize.waterfall(result, size=(15,6))" + ] + } + ], + "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" + } + }, + "nbformat": 4, + "nbformat_minor": 4 +} diff --git a/doc/index.rst b/doc/index.rst index 6c15fe32c..8aa5342e7 100644 --- a/doc/index.rst +++ b/doc/index.rst @@ -32,7 +32,8 @@ Welcome to pyPESTO's documentation! :caption: User's guide install - examples + example + storage_format.md .. toctree:: @@ -41,6 +42,7 @@ Welcome to pyPESTO's documentation! contribute deploy + README.md .. toctree:: diff --git a/doc/releasenotes.rst b/doc/releasenotes.rst index ff153d447..b4c6d1245 100644 --- a/doc/releasenotes.rst +++ b/doc/releasenotes.rst @@ -2,6 +2,85 @@ Release notes ============= +0.1 series +.......... + + +0.1.0 (2020-06-17) +------------------ + +Objective + +* Write solver settings to stream to enable serialization for distributed + systems (#308) +* Refactor objective function (#347) + * Removes necessity for all of the nasty binding/undbinding in AmiciObjective + * Substantially reduces the complexity of the AggregatedObjective class + * Aggregation of functions with inconsistent sensi_order/mode support + * Introduce ObjectiveBase as an abstract Objective class + * Introduce FunctionObjective for objectives from functions +* Implement priors with gradients, integrate with PEtab (#357) +* Fix minus sign in AmiciObjective.get_error_output (#361) +* Implement a prior class, derivatives for standard models, interface with + PEtab (#357) +* Use `amici.import_model_module` to resolve module loading failure (#384) + +Problem + +* Tidy up problem vectors using properties (#393) + +Optimization + +* Interface IpOpt optimizer (#373) + +Profiles + +* Tidy up profiles (#356) +* Refactor profiles; add locally approximated profiles (#369) +* Fix profiling and visualization with fixed parameters (#393) + +Sampling + +* Geweke test for sampling convergence (#339) +* Implement basic Pymc3 sampler (#351) +* Make theano for pymc3 an optional dependency (allows using pypesto without + pymc3) (#356) +* Progress bar for MCMC sampling (#366) +* Fix Geweke test crash for small sample sizes (#376) +* In parallel tempering, allow to only temperate the likelihood, not the prior + (#396) + +History and storage + +* Allow storing results in a pre-filled hdf5 file (#290) +* Various fixes of the history (reduced vs. full parameters, read-in from file, + chi2 values) (#315) +* Fix proper dimensions in result for failed start (#317) +* Create required directories before creating hdf5 file (#326) +* Improve storage and docs documentation (#328) +* Fix storing x_free_indices in hdf5 result (#334) +* Fix problem hdf5 return format (#336) +* Implement partial trace extraction, simplify History API (#337) +* Save really all attributes of a Problem to hdf5 (#342) + +Visualization + +* Customizable xLabels and tight layout for profile plots (#331) +* Fix non-positive bottom ylim on a log-scale axis in waterfall plots (#348) +* Fix "palette list has the wrong number of colors" in sampling plots (#372) +* Allow to plot multiple profiles from one result (#399) + +Logging + +* Allow easier specification of only logging for submodules (#398) + +Tests + +* Speed up travis build (#329) +* Update travis test system to latest ubuntu and python 3.8 (#330) +* Additional code quality checks, minor simplifications (#395) + + 0.0 series .......... diff --git a/doc/storage_format.md b/doc/storage_format.md new file mode 100644 index 000000000..8ab765a9a --- /dev/null +++ b/doc/storage_format.md @@ -0,0 +1,112 @@ +# Storage + +It is important to be able to store analysis results efficiently, easily +accessible, and portable across systems. For this aim, pyPESTO allows to +store results in efficient, portable +[HDF5](https://www.hdfgroup.org/solutions/hdf5/) files. Further, optimization +trajectories can be stored using various backends, including HDF5 and CSV. + +In the following, describe the file formats. +For detailed information on usage, consult the `doc/example/hdf5_storage.ipynb` +notebook, and the API documentation for the `pypesto.objective.history` and +`pypesto.storage` modules. + + +## pyPESTO Problem + +``` ++ /problem/ + - Attributes: + - filled by objective.get_config() + - ... + + - lb [float n_par] + - ub [float n_par] + - lb_full [float n_par_full] + - ub_full [float n_par_full] + - dim [int] + - dim_full [int] + - x_fixed_values [float (n_par_full-n_par)] + - x_fixed_indices [int (n_par_full-n_par)] + - x_free_indices [int n_par] + - x_names [str n_par_full] +``` + +## Parameter estimation + +### Parameter estimation settings + +Parameter estimation settings are saved in `/optimization/settings`. + +### Parameter estimation results + +Parameter estimation results are saved in `/optimization/results/`. + +#### Results per local optimization + +Results of the `$n`'th multistart a saved in the format + +``` ++ /optimization/results/$n/ + - fval: [float] + Objective function value of best iteration + - x: [float n_par_full] + Parameter set of best iteration + - grad: [float n_par_full] + Gradient of objective function at point x + - hess: [float n_par_full x n_par_full] + Hessian matrix of objective function at point x + - n_fval: [int] + Total number of objective function evaluations + - n_grad: [int] + Number of gradient evaluations + - n_hess: [int] + Number of Hessian evaluations + - x0: [float n_par_full] + Initial parameter set + - fval0: [float] + Objective function value at starting parameters + - exitflag: [str] Some exit flag + - time: [float] Execution time + - message: [str] Some exit message +``` + +#### Trace per local optimization + +When objective function call histories are saved to HDF5, they are under +`/optimization/results/$n/trace/`. + +``` ++ /optimization/results/$n/trace/ + - fval: [float n_iter] + Objective function value of best iteration + - x: [float n_iter x n_par_full] + Parameter set of best iteration + - grad: [float n_iter x n_par_full] + Gradient of objective function at point x + - hess: [float n_iter x n_par_full x n_par_full] + Hessian matrix of objective function at point x + - time: [float n_iter] Executition time + - chi2: [float n_iter x ...] + - schi2: [float n_iter x ...] +``` + +## Sampling + + +### Sampling results + +Sampling results are saved in `/sampling/chains/`. +``` ++ /sampling/chains/$n/ +``` + +TODO + +## Profiling + +TODO + +### Profiling results + +TODO diff --git a/pypesto/__init__.py b/pypesto/__init__.py index d9a5dd065..9eca94f0d 100644 --- a/pypesto/__init__.py +++ b/pypesto/__init__.py @@ -15,8 +15,10 @@ CsvHistory, Hdf5History, OptimizerHistory, + AmiciObjective, Objective, - AmiciObjective) + NegLogPriors, + ObjectiveBase) from .problem import Problem from .petab import ( PetabImporter) @@ -32,6 +34,7 @@ OptimizerResult, Optimizer, ScipyOptimizer, + IpoptOptimizer, DlibOptimizer, PyswarmOptimizer) from .profile import ( @@ -46,7 +49,9 @@ AdaptiveMetropolisSampler, ParallelTemperingSampler, AdaptiveParallelTemperingSampler, - McmcPtResult) + Pymc3Sampler, + McmcPtResult, + geweke_test) from .engine import ( SingleCoreEngine, MultiThreadEngine, diff --git a/pypesto/engine/task.py b/pypesto/engine/task.py index 43e75540f..f108dbcf7 100644 --- a/pypesto/engine/task.py +++ b/pypesto/engine/task.py @@ -1,7 +1,6 @@ import logging import abc import numpy as np -from typing import Callable from ..problem import Problem from ..objective import HistoryOptions @@ -40,8 +39,7 @@ def __init__( x0: np.ndarray, id: str, options: 'pypesto.OptimizeOptions', - history_options: HistoryOptions, - handle_exception: Callable): + history_options: HistoryOptions): """ Create the task object. @@ -59,8 +57,6 @@ def __init__( Options object applying to optimization. history_options: Optimizer history options. - handle_exception: - Callable to apply when the optimization fails. """ super().__init__() @@ -70,19 +66,12 @@ def __init__( self.id = id self.options = options self.history_options = history_options - self.handle_exception = handle_exception def execute(self) -> 'pypesto.OptimizerResult': logger.info(f"Executing task {self.id}.") - try: - optimizer_result = self.optimizer.minimize( - problem=self.problem, x0=self.x0, id=self.id, - history_options=self.history_options) - except Exception as err: - if self.options.allow_failed_starts: - optimizer_result = self.handle_exception( - self.problem.objective, self.x0, self.id, err) - else: - raise + optimizer_result = self.optimizer.minimize( + problem=self.problem, x0=self.x0, id=self.id, + allow_failed_starts=self.options.allow_failed_starts, + history_options=self.history_options) return optimizer_result diff --git a/pypesto/logging.py b/pypesto/logging.py index 7705c4965..d2094d8e7 100644 --- a/pypesto/logging.py +++ b/pypesto/logging.py @@ -8,50 +8,60 @@ import logging -def log_to_console(level=None): +def log(name: str = 'pypesto', + level: int = logging.DEBUG, + console: bool = False, + filename: str = ''): """ - Log to console. + Log messages from a specified name with a specified level to any + combination of console and file. Parameters ---------- + name: + The name of the logger. - level: int - The output level to use. Default: logging.DEBUG. + level: + The output level to use. - """ - if level is None: - level = logging.DEBUG + console: + If True, messages are logged to console. - logger = logging.getLogger('pypesto') + filename: + If specified, messages are logged to a file with this name. + """ + logger = logging.getLogger(name) logger.setLevel(level) - ch = logging.StreamHandler() - ch.setLevel(level) - logger.addHandler(ch) + if console: + ch = logging.StreamHandler() + ch.setLevel(level) + logger.addHandler(ch) + + if filename: + fh = logging.FileHandler(filename) + fh.setLevel(level) + logger.addHandler(fh) -def log_to_file(level=None, filename=None): + +def log_to_console(level: int = logging.DEBUG): """ - Log to file. + Log to console. Parameters ---------- - - level: int - The output level to use. Default: logging.DEBUG. - - filename: str - The name of the file to append to. - Default: .pypesto_logging.log. + See the `log` method. """ + log(level=level, console=True) - if level is None: - level = logging.DEBUG - if filename is None: - filename = ".pypesto_logging.log" +def log_to_file(level: int = logging.DEBUG, + filename: str = '.pypesto_logging.log'): + """ + Log to file. - logger = logging.getLogger('pypesto') - logger.setLevel(level) - fh = logging.FileHandler(filename) - fh.setLevel(level) - logger.addHandler(fh) + Parameters + ---------- + See the `log` method. + """ + log(level=level, filename=filename) diff --git a/pypesto/objective/__init__.py b/pypesto/objective/__init__.py index 925d26cb5..94369f65d 100644 --- a/pypesto/objective/__init__.py +++ b/pypesto/objective/__init__.py @@ -3,11 +3,13 @@ ========= """ -from .objective import Objective from .amici_calculator import AmiciCalculator -from .amici_objective import AmiciObjective, AmiciObjectBuilder +from .amici import AmiciObjective, AmiciObjectBuilder +from .function import Objective from .aggregated import AggregatedObjective +from .priors import NegLogPriors, NegLogParameterPriors from .util import res_to_chi2, sres_to_schi2 +from .base import ObjectiveBase from .history import ( HistoryOptions, HistoryBase, diff --git a/pypesto/objective/aggregated.py b/pypesto/objective/aggregated.py index 6fff67dfb..5be7ee059 100644 --- a/pypesto/objective/aggregated.py +++ b/pypesto/objective/aggregated.py @@ -1,226 +1,134 @@ import numpy as np + from copy import deepcopy -from typing import List -from .objective import Objective +from typing import Sequence +from .base import ObjectiveBase, ResultDict -from .constants import RDATAS +from .constants import RDATAS, FVAL, CHI2, SCHI2, RES, SRES, GRAD, HESS, HESSP -class AggregatedObjective(Objective): +class AggregatedObjective(ObjectiveBase): """ This class aggregates multiple objectives into one objective. """ def __init__( self, - objectives: List[Objective], - x_names: List[str] = None): + objectives: Sequence[ObjectiveBase], + x_names: Sequence[str] = None): """ Constructor. + Parameters ---------- - objectives: list - List of pypesto.objetive instances + objectives: + Sequence of pypesto.ObjectiveBase instances + x_names: + Sequence of names of the (optimized) parameters. + (Details see documentation of x_names in + :class:`pypesto.ObjectiveBase`) """ + # input typechecks - if not isinstance(objectives, list): - raise TypeError(f'Objectives must be a list, ' + if not isinstance(objectives, Sequence): + raise TypeError(f'Objectives must be a Sequence, ' f'was {type(objectives)}.') if not all( - isinstance(objective, Objective) + isinstance(objective, ObjectiveBase) for objective in objectives ): raise TypeError('Objectives must only contain elements of type' 'pypesto.Objective') - if not len(objectives): + if not objectives: raise ValueError('Length of objectives must be at least one') - self.objectives = objectives - - # assemble a dict that we can pass as kwargs to the - # pypesto.Objective constructor - init_kwargs = { - 'x_names': x_names - } - - # check if all objectives consistently accept sensi orders in fun/res - # and adopt the same behaviour in aggregate - for attr in ['fun_accept_sensi_orders', 'res_accept_sensi_orders']: - _check_boolean_value_consistent(objectives, attr) - init_kwargs[attr] = getattr(objectives[0], attr) - - # check if all objectives consistently accept sensi orders in fun/res - # and adopt the same behaviour in aggregate - for attr in [ - 'fun', 'grad', 'hess', 'hessp', 'res', 'sres' - ]: - if any( - getattr(objective, attr) is None - for objective in objectives - ): - _check_none_value_consistent(objectives, attr) - init_kwargs[attr] = None - elif all( - isinstance(getattr(objective, attr), bool) - for objective in objectives - ): - _check_boolean_value_consistent(objectives, attr) - init_kwargs[attr] = getattr(objectives[0], attr) - elif all( - callable(getattr(objective, attr)) - for objective in objectives - ): - aggregate_fun = f'aggregate_{attr}' - if ( - attr == 'fun' - and init_kwargs['fun_accept_sensi_orders'] - ) or ( - attr == 'res' - and init_kwargs['res_accept_sensi_orders'] - ): - aggregate_fun += '_sensi_orders' - - init_kwargs[attr] = getattr(self, aggregate_fun) - else: - raise ValueError(f'{attr} has incompatible types across ' - f'instances!') - - super().__init__(**init_kwargs) + self._objectives = objectives + + super().__init__(x_names=x_names) def __deepcopy__(self, memodict=None): other = AggregatedObjective( - objectives=[deepcopy(objective) for objective in self.objectives], + objectives=[deepcopy(objective) for objective in self._objectives], x_names=deepcopy(self.x_names), ) return other - def aggregate_fun_sensi_orders(self, x, sensi_orders): - rvals = [ - objective.fun(x, sensi_orders) - for objective in self.objectives - ] - - # sum over fval/grad/hess - result = { - key: sum(rval[key] for rval in rvals) - for key in ['fval', 'grad', 'hess'] - if key in rvals[0] - } - - # extract rdatas and flatten - result[RDATAS] = [] - for rval in rvals: - if RDATAS in rval: - result[RDATAS].extend(rval[RDATAS]) - - return result - - def aggregate_res_sensi_orders(self, x, sensi_orders): - result = dict() - - # initialize res and sres - rval0 = self.objectives[0].res(x, sensi_orders) - if 'res' in rval0: - res = np.asarray(rval0['res']) - else: - res = None - - if 'sres' in rval0: - sres = np.asarray(rval0['sres']) - else: - sres = None - - if RDATAS in rval0: - result[RDATAS] = rval0[RDATAS] - else: - result[RDATAS] = [] - - # skip iobj=0 after initialization, stack matrices - for iobj in range(1, len(self.objectives)): - rval = self.objectives[iobj].res(x, sensi_orders) - if res is not None: - res = np.hstack([res, np.asarray(rval['res'])]) - if sres is not None: - sres = np.vstack([sres, np.asarray(rval['sres'])]) - if RDATAS in rval: - result[RDATAS].extend(rval[RDATAS]) - - # transform results to dict + def check_mode(self, mode) -> bool: + return all( + objective.check_mode(mode) + for objective in self._objectives + ) + + def check_sensi_orders(self, sensi_orders, mode) -> bool: + return all( + objective.check_sensi_orders(sensi_orders, mode) + for objective in self._objectives + ) + + def call_unprocessed(self, x, sensi_orders, mode) -> ResultDict: + return aggregate_results([ + objective.call_unprocessed(x, sensi_orders, mode) + for objective in self._objectives + ]) + def initialize(self): + for objective in self._objectives: + objective.initialize() + + +def aggregate_results(rvals: Sequence[ResultDict]) -> ResultDict: + """ + Aggregrate the results from the provided sequence of ResultDicts into a + single ResultDict. + + Parameters + ---------- + rvals: + results to aggregate + """ + + # rvals are guaranteed to be consistent as _check_sensi_orders checks + # whether each objective can be called with the respective + # sensi_orders/mode + + # sum over fval/grad/hess + result = { + key: sum(rval[key] for rval in rvals) + for key in [FVAL, CHI2, SCHI2, GRAD, HESS, HESSP] + if rvals[0].get(key, None) is not None + } + + # extract rdatas and flatten + result[RDATAS] = [] + for rval in rvals: + if RDATAS in rval: + result[RDATAS].extend(rval[RDATAS]) + + # initialize res and sres + if RES in rvals[0]: + res = np.asarray(rvals[0][RES]) + else: + res = None + + if SRES in rvals[0]: + sres = np.asarray(rvals[0][SRES]) + else: + sres = None + + # skip iobj=0 after initialization, stack matrices + for rval in rvals[1:]: if res is not None: - result['res'] = res + res = np.hstack([res, np.asarray(rval[RES])]) if sres is not None: - result['sres'] = sres - - return result - - def aggregate_res(self, x): - if self.sres is True: # integrated mode - res = self.objectives[0].res(x)[0] - else: - res = self.objectives[0].res(x) - for iobj in range(1, len(self.objectives)): - if self.sres is True: # integrated mode - res_stack = np.asarray(self.objectives[iobj].res(x))[0] - else: - res_stack = np.asarray(self.objectives[iobj].res(x)) - res = np.hstack([res, res_stack]) - - return res - - def aggregate_sres(self, x): - sres = self.objectives[0].sres(x) - for iobj in range(1, len(self.objectives)): - sres = np.vstack([sres, np.asarray(self.objectives[iobj].sres(x))]) - - return sres - - def aggregate_fun(self, x): - if self.grad is True: # integrated mode - return tuple( - sum(objective.fun(x)[idx] for objective in self.objectives) - for idx in range(2+self.hess) - ) - else: - return sum(objective.fun(x) for objective in self.objectives) - - def aggregate_grad(self, x): - return sum(objective.grad(x) for objective in self.objectives) - - def aggregate_hess(self, x): - return sum(objective.hess(x) for objective in self.objectives) - - def aggregate_hessp(self, x): - return sum(objective.hessp(x) for objective in self.objectives) - - def reset_steadystate_guesses(self): - """ - Propagates reset_steadystate_guesses() to child objectives if available - (currently only applies for amici_objective) - """ - for objective in self.objectives: - if hasattr(objective, 'reset_steadystate_guesses'): - objective.reset_steadystate_guesses() - - -def _check_boolean_value_consistent(objectives, attr): - values = set( - getattr(objective, attr) - for objective in objectives - ) - if len(values) > 1: - raise ValueError(f'{attr} of all objectives must have a consistent ' - f'value!') - - -def _check_none_value_consistent(objectives, attr): - is_none = ( - getattr(objective, attr) is None - for objective in objectives - ) - if not all(is_none): - raise ValueError(f'{attr} of all objectives must have a consistent ' - f'value!') + sres = np.vstack([sres, np.asarray(rval[SRES])]) + + # fill res, sres into result + if res is not None: + result[RES] = res + if sres is not None: + result[SRES] = sres + + return result diff --git a/pypesto/objective/amici_objective.py b/pypesto/objective/amici.py similarity index 81% rename from pypesto/objective/amici_objective.py rename to pypesto/objective/amici.py index b704f294d..f8c467b74 100644 --- a/pypesto/objective/amici_objective.py +++ b/pypesto/objective/amici.py @@ -6,7 +6,7 @@ from typing import Dict, Tuple, Sequence, Union from collections import OrderedDict -from .objective import Objective +from .base import ObjectiveBase from .constants import MODE_FUN, MODE_RES, FVAL, RDATAS from .amici_calculator import AmiciCalculator from .amici_util import ( @@ -45,7 +45,7 @@ def create_edatas(self, model: AmiciModel) -> Sequence['amici.ExpData']: """Create AMICI experimental data.""" -class AmiciObjective(Objective): +class AmiciObjective(ObjectiveBase): """ This class allows to create an objective directly from an amici model. """ @@ -114,29 +114,6 @@ def __init__(self, # otherwise 1 can be guaranteed max_sensi_order = 2 if amici_model.o2mode else 1 - fun = self.get_bound_fun() - - if max_sensi_order > 0: - grad = True - hess = True - else: - grad = None - hess = None - - res = self.get_bound_res() - - if max_sensi_order > 0: - sres = True - else: - sres = None - - super().__init__( - fun=fun, grad=grad, hess=hess, hessp=None, - res=res, sres=sres, - fun_accept_sensi_orders=True, - res_accept_sensi_orders=True, - ) - self.amici_model = amici.ModelPtr(amici_model.clone()) self.amici_solver = amici.SolverPtr(amici_solver.clone()) @@ -180,7 +157,7 @@ def __init__(self, self.steadystate_guesses = { 'fval': np.inf, 'data': { - iexp: dict() + iexp: {} for iexp, edata in enumerate(self.edatas) if len(edata.fixedParametersPreequilibration) or self.amici_solver.getPreequilibration() @@ -190,7 +167,6 @@ def __init__(self, if x_names is None: # use ids as names x_names = x_ids - self.x_names = x_names self.n_threads = n_threads self.amici_object_builder = amici_object_builder @@ -198,50 +174,13 @@ def __init__(self, if calculator is None: calculator = AmiciCalculator() self.calculator = calculator + super().__init__(x_names=x_names) def initialize(self): super().initialize() self.reset_steadystate_guesses() self.calculator.initialize() - def get_bound_fun(self): - """ - Generate a fun function that calls _call_amici with MODE_FUN. Defining - a non-class function that references self as a local variable will bind - the function to a copy of the current self object and will - accordingly not take future changes to self into account. - """ - def fun(x, sensi_orders): - return self._call_amici(x, sensi_orders, MODE_FUN) - - return fun - - def get_bound_res(self): - """ - Generate a res function that calls _call_amici with MODE_RES. Defining - a non-class function that references self as a local variable will bind - the function to a copy of the current self object and will - accordingly not take future changes to self into account. - """ - def res(x, sensi_orders): - return self._call_amici(x, sensi_orders, MODE_RES) - - return res - - def rebind_fun(self): - """ - Replace the current fun function with one that is bound to the current - instance - """ - self.fun = self.get_bound_fun() - - def rebind_res(self): - """ - Replace the current res function with one that is bound to the current - instance - """ - self.res = self.get_bound_res() - def __deepcopy__(self, memodict: Dict = None) -> 'AmiciObjective': other = self.__class__.__new__(self.__class__) @@ -254,10 +193,6 @@ def __deepcopy__(self, memodict: Dict = None) -> 'AmiciObjective': other.amici_solver = amici.SolverPtr(self.amici_solver.clone()) other.edatas = [amici.ExpData(data) for data in self.edatas] - # rebind functions for __call__ - other.rebind_fun() - other.rebind_res() - return other def __getstate__(self) -> Dict: @@ -271,9 +206,14 @@ def __getstate__(self) -> Dict: {'amici_model', 'amici_solver', 'edatas'}: state[key] = self.__dict__[key] + # write amici solver settings to file amici_solver_file = tempfile.mkstemp()[1] amici.writeSolverSettingsToHDF5(self.amici_solver, amici_solver_file) - state['amici_solver_settings'] = amici_solver_file + # read in byte stream + amici_solver_settings = open(amici_solver_file, 'rb').read() + state['amici_solver_settings'] = amici_solver_settings + # remove temporary file + os.remove(amici_solver_file) return state @@ -291,41 +231,55 @@ def __setstate__(self, state: Dict): edatas = self.amici_object_builder.create_edatas(model) try: - amici.readSolverSettingsFromHDF5( - state['amici_solver_settings'], solver) + # write solver settings to temporary file + _file = tempfile.mkstemp()[1] + with open(_file, 'wb') as f: + f.write(state['amici_solver_settings']) + # read in solver settings + amici.readSolverSettingsFromHDF5(_file, solver) + # remove temporary file + os.remove(_file) except AttributeError as err: if not err.args: err.args = ('',) err.args = err.args + ("Amici must have been compiled with hdf5 " "support",) raise - os.remove(state['amici_solver_settings']) - self.amici_model = model self.amici_solver = solver self.edatas = edatas - def _call_amici( - self, - x: np.ndarray, - sensi_orders: Tuple[int, ...], - mode: str - ) -> Dict: + def check_sensi_orders(self, sensi_orders, mode) -> bool: + sensi_order = self._get_amici_sensi_order(sensi_orders) + + if self.max_sensi_order is None: + if mode == MODE_FUN: + max_sensi_order = 1 + self.amici_model.o2mode + else: + max_sensi_order = 1 + else: + max_sensi_order = self.max_sensi_order + + return sensi_order <= max_sensi_order + + def _get_amici_sensi_order(self, sensi_orders: Tuple[int, ...]) -> int: # amici is built such that only the maximum sensitivity is required, # the lower orders are then automatically computed - sensi_order = min(max(sensi_orders), 1) # order 2 currently not implemented, we are using the FIM + return min(max(sensi_orders), 1) + + def check_mode(self, mode): + return mode in [MODE_FUN, MODE_RES] - # check if the requested sensitivities can be computed - if sensi_order > self.max_sensi_order: - raise Exception("Sensitivity order not allowed.") + def call_unprocessed(self, x, sensi_orders, mode): + sensi_order = self._get_amici_sensi_order(sensi_orders) x_dct = self.par_arr_to_dct(x) # update steady state if self.guess_steadystate and \ self.steadystate_guesses['fval'] < np.inf: - for data_ix, edata in enumerate(self.edatas): + for data_ix in range(len(self.edatas)): self.apply_steadystate_guess(data_ix, x_dct) ret = self.calculator( @@ -334,12 +288,13 @@ def _call_amici( edatas=self.edatas, n_threads=self.n_threads, x_ids=self.x_ids, parameter_mapping=self.parameter_mapping) - nllh = - ret[FVAL] + nllh = ret[FVAL] rdatas = ret[RDATAS] # check whether we should update data for preequilibration guesses if self.guess_steadystate and \ - nllh <= self.steadystate_guesses['fval']: + nllh <= self.steadystate_guesses['fval'] and \ + nllh < np.inf: self.steadystate_guesses['fval'] = nllh for data_ix, rdata in enumerate(rdatas): self.store_steadystate_guess(data_ix, x_dct, rdata) @@ -404,4 +359,4 @@ def reset_steadystate_guesses(self): self.steadystate_guesses['fval'] = np.inf for condition in self.steadystate_guesses['data']: - self.steadystate_guesses['data'][condition] = dict() + self.steadystate_guesses['data'][condition] = {} diff --git a/pypesto/objective/amici_calculator.py b/pypesto/objective/amici_calculator.py index 9d86654c4..c8d2fa214 100644 --- a/pypesto/objective/amici_calculator.py +++ b/pypesto/objective/amici_calculator.py @@ -1,7 +1,9 @@ import numpy as np from typing import Dict, List, Sequence, Union -from .constants import MODE_FUN, MODE_RES, FVAL, GRAD, HESS, RES, SRES, RDATAS +from .constants import ( + MODE_FUN, MODE_RES, FVAL, GRAD, HESS, RES, SRES, RDATAS, CHI2 +) from .amici_util import ( add_sim_grad_to_opt_grad, add_sim_hess_to_opt_hess, sim_sres_to_opt_sres, log_simulation, get_error_output) @@ -24,6 +26,9 @@ class AmiciCalculator: function values. """ + def __init__(self): + self._known_least_squares_safe = False + def initialize(self): """Initialize the calculator. Default: Do nothing.""" @@ -82,6 +87,17 @@ def __call__(self, edatas, num_threads=min(n_threads, len(edatas)), ) + if not self._known_least_squares_safe and mode == MODE_RES and \ + sensi_order > 0: + if any( + ((r['ssigmay'] is not None and np.any(r['ssigmay'])) + or + (r['ssigmaz'] is not None and np.any(r['ssigmaz']))) + for r in rdatas + ): + raise RuntimeError('Cannot use least squares solver with' + 'parameter dependent sigma!') + self._known_least_squares_safe = True # don't check this again return calculate_function_values( rdatas, sensi_order, mode, amici_model, amici_solver, edatas, @@ -95,8 +111,7 @@ def calculate_function_values(rdatas, amici_solver: AmiciSolver, edatas: List['amici.ExpData'], x_ids: Sequence[str], - parameter_mapping: 'ParameterMapping' - ): + parameter_mapping: 'ParameterMapping'): # full optimization problem dimension (including fixed parameters) dim = len(x_ids) @@ -106,11 +121,20 @@ def calculate_function_values(rdatas, # prepare outputs nllh = 0.0 - snllh = np.zeros(dim) - s2nllh = np.zeros([dim, dim]) - - res = np.zeros([0]) - sres = np.zeros([0, dim]) + snllh = None + s2nllh = None + if mode == MODE_FUN and sensi_order > 0: + snllh = np.zeros(dim) + s2nllh = np.zeros([dim, dim]) + + chi2 = None + res = None + sres = None + if mode == MODE_RES: + chi2 = 0.0 + res = np.zeros([0]) + if sensi_order > 0: + sres = np.zeros([0, dim]) par_sim_ids = list(amici_model.getParameterIds()) sensi_method = amici_solver.getSensitivityMethod() @@ -125,7 +149,6 @@ def calculate_function_values(rdatas, # compute objective if mode == MODE_FUN: - if sensi_order > 0: add_sim_grad_to_opt_grad( x_ids, @@ -147,6 +170,7 @@ def calculate_function_values(rdatas, ) elif mode == MODE_RES: + chi2 += rdata['chi2'] res = np.hstack([res, rdata['res']]) \ if res.size else rdata['res'] if sensi_order > 0: @@ -160,11 +184,17 @@ def calculate_function_values(rdatas, sres = np.vstack([sres, opt_sres]) \ if sres.size else opt_sres - return { + ret = { FVAL: nllh, + CHI2: chi2, GRAD: snllh, HESS: s2nllh, RES: res, SRES: sres, RDATAS: rdatas } + return { + key: val + for key, val in ret.items() + if val is not None + } diff --git a/pypesto/objective/amici_util.py b/pypesto/objective/amici_util.py index 1b4265b61..b12c753f2 100644 --- a/pypesto/objective/amici_util.py +++ b/pypesto/objective/amici_util.py @@ -225,12 +225,16 @@ def get_error_output( edatas: Sequence['amici.ExpData'], rdatas: Sequence['amici.ReturnData'], dim: int): - """Default output upon error.""" + """Default output upon error. + + Returns values indicative of an error, that is with nan entries in all + vectors, and a function value, i.e. nllh, of `np.inf`. + """ if not amici_model.nt(): - nt = sum([data.nt() for data in edatas]) + nt = sum(data.nt() for data in edatas) else: - nt = sum([data.nt() if data.nt() else amici_model.nt() - for data in edatas]) + nt = sum(data.nt() if data.nt() else amici_model.nt() + for data in edatas) n_res = nt * amici_model.nytrue return { diff --git a/pypesto/objective/objective.py b/pypesto/objective/base.py similarity index 54% rename from pypesto/objective/objective.py rename to pypesto/objective/base.py index 3c8f28da9..d62f2d7eb 100644 --- a/pypesto/objective/objective.py +++ b/pypesto/objective/base.py @@ -1,17 +1,20 @@ import numpy as np -import copy import pandas as pd +import copy import logging -from typing import Callable, Dict, List, Tuple, Union +import abc +from typing import Dict, Sequence, Tuple, Union from .constants import MODE_FUN, MODE_RES, FVAL, GRAD, HESS, RES, SRES from .history import HistoryBase from .pre_post_process import PrePostProcessor, FixedParametersProcessor +ResultDict = Dict[str, Union[float, np.ndarray, Dict]] + logger = logging.getLogger(__name__) -class Objective: +class ObjectiveBase(abc.ABC): """ The objective class is a simple wrapper around the objective function, giving a standardized way of calling. Apart from that, it manages several @@ -24,71 +27,6 @@ class Objective: by this objective function. If maximization is to be performed, the sign should be flipped before creating the objective function. - Parameters - ---------- - - fun: - The objective function to be minimized. If it only computes the - objective function value, it should be of the form - - ``fun(x) -> float`` - - where x is an 1-D array with shape (n,), and n is the parameter space - dimension. - - grad: - Method for computing the gradient vector. If it is a callable, - it should be of the form - - ``grad(x) -> array_like, shape (n,).`` - - If its value is True, then fun should return the gradient as a second - output. - - hess: - Method for computing the Hessian matrix. If it is a callable, - it should be of the form - - ``hess(x) -> array, shape (n,n).`` - - If its value is True, then fun should return the gradient as a - second, and the Hessian as a third output, and grad should be True as - well. - - hessp: - Method for computing the Hessian vector product, i.e. - - ``hessp(x, v) -> array_like, shape (n,)`` - - computes the product H*v of the Hessian of fun at x with v. - - res: - Method for computing residuals, i.e. - - ``res(x) -> array_like, shape(m,).`` - - sres: - Method for computing residual sensitivities. If its is a callable, - it should be of the form - - ``sres(x) -> array, shape (m,n).`` - - If its value is True, then res should return the residual - sensitivities as a second output. - - fun_accept_sensi_orders: - Flag indicating whether fun takes sensi_orders as an argument. - Default: False. - - res_accept_sensi_orders: - Flag indicating whether res takes sensi_orders as an argument. - Default: False - - x_names: - Parameter names. None if no names provided, otherwise a list of str, - length dim_full (as in the Problem class). Can be read by the - problem. - Attributes ---------- @@ -100,68 +38,35 @@ class Objective: Preprocess input values to and postprocess output values from __call__. Configured in `update_from_problem()`. - Notes - ----- - - If fun_accept_sensi_orders resp. res_accept_sensi_orders is True, - fun resp. res can also return dictionaries instead of tuples. - In that case, they are expected to follow the naming conventions - in ``constants.py``. This is of interest, because when __call__ is - called with return_dict = True, the full dictionary is returned, which - can contain e.g. also simulation data or debugging information. """ def __init__(self, - fun: Callable = None, - grad: Union[Callable, bool] = None, - hess: Callable = None, - hessp: Callable = None, - res: Callable = None, - sres: Union[Callable, bool] = None, - fun_accept_sensi_orders: bool = False, - res_accept_sensi_orders: bool = False, - x_names: List[str] = None): - self.fun = fun - self.grad = grad - self.hess = hess - self.hessp = hessp - self.res = res - self.sres = sres - self.fun_accept_sensi_orders = fun_accept_sensi_orders - self.res_accept_sensi_orders = res_accept_sensi_orders + x_names: Sequence[str] = None): self.x_names = x_names self.pre_post_processor = PrePostProcessor() self.history = HistoryBase() - def __deepcopy__(self, memodict=None) -> 'Objective': - other = Objective() + def __deepcopy__(self, memodict=None) -> 'ObjectiveBase': + other = type(self)() # maintain type for derived classes for attr in self.__dict__: other.__dict__[attr] = copy.deepcopy(self.__dict__[attr]) return other # The following has_ properties can be used to find out what values # the objective supports. - - def initialize(self): - """Initialize the objective function. - This function is used at the beginning of an analysis, e.g. - optimization, and can e.g. reset the objective memory. - By default does nothing. - """ - @property def has_fun(self) -> bool: - return callable(self.fun) + return self.check_sensi_orders((0,), MODE_FUN) @property def has_grad(self) -> bool: - return callable(self.grad) or self.grad is True + return self.check_sensi_orders((1,), MODE_FUN) @property def has_hess(self) -> bool: - return callable(self.hess) or self.hess is True + return self.check_sensi_orders((2,), MODE_FUN) @property def has_hessp(self) -> bool: @@ -170,33 +75,18 @@ def has_hessp(self) -> bool: @property def has_res(self) -> bool: - return callable(self.res) + return self.check_sensi_orders((0,), MODE_RES) @property def has_sres(self) -> bool: - return callable(self.sres) or self.sres is True + return self.check_sensi_orders((1,), MODE_RES) - def check_sensi_orders(self, sensi_orders, mode) -> None: - """ - Check if the objective is able to compute the requested - sensitivities. If not, throw an exception. - - Raises - ------ - ValueError if the objective function cannot be called as - requested. + def initialize(self): + """Initialize the objective function. + This function is used at the beginning of an analysis, e.g. + optimization, and can e.g. reset the objective memory. + By default does nothing. """ - if (mode is MODE_FUN and - (0 in sensi_orders and not self.has_fun - or 1 in sensi_orders and not self.has_grad - or 2 in sensi_orders and not self.has_hess) - ) or (mode is MODE_RES and - (0 in sensi_orders and not self.has_res - or 1 in sensi_orders and not self.has_sres) - ): - raise ValueError( - f"Objective cannot be called with sensi_orders={sensi_orders}" - f" and mode={mode}") def __call__( self, @@ -204,7 +94,7 @@ def __call__( sensi_orders: Tuple[int, ...] = (0, ), mode: str = MODE_FUN, return_dict: bool = False - ) -> Union[float, np.ndarray, Tuple, Dict]: + ) -> Union[float, np.ndarray, Tuple, ResultDict]: """ Method to obtain arbitrary sensitivities. This is the central method which is always called, also by the get_* methods. @@ -241,13 +131,18 @@ def __call__( x = np.array(x).copy() # check input - self.check_sensi_orders(sensi_orders, mode) + if not self.check_mode(mode): + raise ValueError(f"This Objective cannot be called with mode" + f"={mode}.") + if not self.check_sensi_orders(sensi_orders, mode): + raise ValueError(f"This Objective cannot be called with " + f"sensi_orders= {sensi_orders} and mode={mode}.") # pre-process x_full = self.pre_post_processor.preprocess(x) # compute result - result = self._call_unprocessed(x_full, sensi_orders, mode) + result = self.call_unprocessed(x_full, sensi_orders, mode) # post-process result = self.pre_post_processor.postprocess(result) @@ -257,164 +152,79 @@ def __call__( # map to output format if not return_dict: - result = Objective.output_to_tuple(sensi_orders, mode, **result) + result = ObjectiveBase.output_to_tuple(sensi_orders, mode, + **result) return result - def _call_unprocessed( + @abc.abstractmethod + def call_unprocessed( self, x: np.ndarray, sensi_orders: Tuple[int, ...], mode: str - ) -> Dict: + ) -> ResultDict: """ Call objective function without pre- or post-processing and formatting. + Parameters + ---------- + x: + The parameters for which to evaluate the objective function. + sensi_orders: + Specifies which sensitivities to compute, e.g. (0,1) -> fval, grad. + mode: + Whether to compute function values or residuals. + Returns ------- result: A dict containing the results. """ - if mode == MODE_FUN: - result = self._call_mode_fun(x, sensi_orders) - elif mode == MODE_RES: - result = self._call_mode_res(x, sensi_orders) - else: - raise ValueError("This mode is not supported.") - return result + raise NotImplementedError() - def _call_mode_fun( - self, x: np.ndarray, sensi_orders: Tuple[int, ...] - ) -> Dict: + @abc.abstractmethod + def check_sensi_orders(self, sensi_orders, mode) -> bool: """ - The method __call__ was called with mode MODE_FUN. - """ - if self.fun_accept_sensi_orders: - result = self.fun(x, sensi_orders) - if not isinstance(result, dict): - result = Objective.output_to_dict( - sensi_orders, MODE_FUN, result) - elif sensi_orders == (0,): - if self.grad is True: - fval = self.fun(x)[0] - else: - fval = self.fun(x) - result = {FVAL: fval} - elif sensi_orders == (1,): - if self.grad is True: - grad = self.fun(x)[1] - else: - grad = self.grad(x) - result = {GRAD: grad} - elif sensi_orders == (2,): - if self.hess is True: - hess = self.fun(x)[2] - else: - hess = self.hess(x) - result = {HESS: hess} - elif sensi_orders == (0, 1): - if self.grad is True: - fval, grad = self.fun(x)[0:2] - else: - fval = self.fun(x) - grad = self.grad(x) - result = {FVAL: fval, - GRAD: grad} - elif sensi_orders == (1, 2): - if self.hess is True: - grad, hess = self.fun(x)[1:3] - else: - hess = self.hess(x) - if self.grad is True: - grad = self.fun(x)[1] - else: - grad = self.grad(x) - result = {GRAD: grad, - HESS: hess} - elif sensi_orders == (0, 1, 2): - if self.hess is True: - fval, grad, hess = self.fun(x)[0:3] - else: - hess = self.hess(x) - if self.grad is True: - fval, grad = self.fun(x)[0:2] - else: - fval = self.fun(x) - grad = self.grad(x) - result = {FVAL: fval, - GRAD: grad, - HESS: hess} - else: - raise ValueError("These sensitivity orders are not supported.") - return result + Check if the objective is able to compute the requested + sensitivities. - def _call_mode_res( - self, x: np.ndarray, sensi_orders: Tuple[int, ...] - ) -> Dict: - """ - The method __call__ was called with mode MODE_RES. + Parameters + ---------- + sensi_orders: + Specifies which sensitivities to compute, e.g. (0,1) -> fval, grad. + mode: + Whether to compute function values or residuals. + + Returns + ------- + flag: + Boolean indicating whether combination of sensi_orders and mode + is supported """ - if self.res_accept_sensi_orders: - result = self.res(x, sensi_orders) - if not isinstance(result, dict): - result = Objective.output_to_dict( - sensi_orders, MODE_RES, result) - elif sensi_orders == (0,): - if self.sres is True: - res = self.res(x)[0] - else: - res = self.res(x) - result = {RES: res} - elif sensi_orders == (1,): - if self.sres is True: - sres = self.res(x)[1] - else: - sres = self.sres(x) - result = {SRES: sres} - elif sensi_orders == (0, 1): - if self.sres is True: - res, sres = self.res(x) - else: - res = self.res(x) - sres = self.sres(x) - result = {RES: res, - SRES: sres} - else: - raise ValueError("These sensitivity orders are not supported.") - return result + raise NotImplementedError() - @staticmethod - def output_to_dict( - sensi_orders: Tuple[int, ...], mode: str, output_tuple: Tuple - ) -> Dict: + @abc.abstractmethod + def check_mode(self, mode) -> bool: """ - Convert output tuple to dict. + Check if the objective is able to compute in the requested mode. + + Parameters + ---------- + mode: + Whether to compute function values or residuals. + Returns + ------- + flag: + Boolean indicating whether mode is supported """ - output_dict = {} - index = 0 - if not isinstance(output_tuple, tuple): - output_tuple = (output_tuple,) - if mode == MODE_FUN: - if 0 in sensi_orders: - output_dict[FVAL] = output_tuple[index] - index += 1 - if 1 in sensi_orders: - output_dict[GRAD] = output_tuple[index] - index += 1 - if 2 in sensi_orders: - output_dict[HESS] = output_tuple[index] - elif mode == MODE_RES: - if 0 in sensi_orders: - output_dict[RES] = output_tuple[index] - index += 1 - if 1 in sensi_orders: - output_dict[SRES] = output_tuple[index] - return output_dict + raise NotImplementedError() @staticmethod def output_to_tuple( - sensi_orders: Tuple[int, ...], mode: str, **kwargs + sensi_orders: Tuple[int, ...], mode: str, + **kwargs: Union[float, np.ndarray] ) -> Tuple: """ Return values as requested by the caller, since usually only a subset @@ -439,7 +249,6 @@ def output_to_tuple( return output # The following are convenience functions for getting specific outputs. - def get_fval(self, x: np.ndarray) -> float: """ Get the function value at x. @@ -478,9 +287,9 @@ def get_sres(self, x: np.ndarray) -> np.ndarray: def update_from_problem( self, dim_full: int, - x_free_indices: List[int], - x_fixed_indices: List[int], - x_fixed_vals: List[int]): + x_free_indices: Sequence[int], + x_fixed_indices: Sequence[int], + x_fixed_vals: Sequence[float]): """ Handle fixed parameters. Later, the objective will be given parameter vectors x of dimension dim, which have to be filled up with fixed @@ -520,7 +329,7 @@ def update_from_problem( def check_grad( self, x: np.ndarray, - x_indices: List[int] = None, + x_indices: Sequence[int] = None, eps: float = 1e-5, verbosity: int = 1, mode: str = MODE_FUN @@ -534,7 +343,7 @@ def check_grad( x: The parameters for which to evaluate the gradient. x_indices: - List of index values for which to compute gradients. Default: all. + Indices for which to compute gradients. Default: all. eps: Finite differences step size. Default: 1e-5. verbosity: @@ -556,10 +365,6 @@ def check_grad( if x_indices is None: x_indices = list(range(len(x))) - if hasattr(self.history, 'options'): - tmp_trace_record = self.history.options.trace_record - self.history.options.trace_record = False - # function value and objective gradient fval, grad = self(x, (0, 1), mode) @@ -633,7 +438,4 @@ def check_grad( if verbosity > 0: logger.info(result) - if hasattr(self.history, 'options'): - self.history.options.trace_record = tmp_trace_record - return result diff --git a/pypesto/objective/function.py b/pypesto/objective/function.py new file mode 100644 index 000000000..ca05b8011 --- /dev/null +++ b/pypesto/objective/function.py @@ -0,0 +1,236 @@ +import numpy as np + +from .base import ObjectiveBase, ResultDict +from typing import Callable, Sequence, Tuple, Union + +from .constants import MODE_FUN, MODE_RES, FVAL, GRAD, HESS, RES, SRES + + +class Objective(ObjectiveBase): + """ + The objective class allows the user explicitely specify functions that + compute the function value and/or residuals as well as respective + derivatives. + + Parameters + ---------- + + fun: + The objective function to be minimized. If it only computes the + objective function value, it should be of the form + + ``fun(x) -> float`` + + where x is an 1-D array with shape (n,), and n is the parameter space + dimension. + + grad: + Method for computing the gradient vector. If it is a callable, + it should be of the form + + ``grad(x) -> array_like, shape (n,).`` + + If its value is True, then fun should return the gradient as a second + output. + + hess: + Method for computing the Hessian matrix. If it is a callable, + it should be of the form + + ``hess(x) -> array, shape (n,n).`` + + If its value is True, then fun should return the gradient as a + second, and the Hessian as a third output, and grad should be True as + well. + + hessp: + Method for computing the Hessian vector product, i.e. + + ``hessp(x, v) -> array_like, shape (n,)`` + + computes the product H*v of the Hessian of fun at x with v. + + res: + Method for computing residuals, i.e. + + ``res(x) -> array_like, shape(m,).`` + + sres: + Method for computing residual sensitivities. If its is a callable, + it should be of the form + + ``sres(x) -> array, shape (m,n).`` + + If its value is True, then res should return the residual + sensitivities as a second output. + + x_names: + Parameter names. None if no names provided, otherwise a list of str, + length dim_full (as in the Problem class). Can be read by the + problem. + """ + def __init__(self, fun: Callable = None, + grad: Union[Callable, bool] = None, hess: Callable = None, + hessp: Callable = None, res: Callable = None, + sres: Union[Callable, bool] = None, + x_names: Sequence[str] = None): + self.fun = fun + self.grad = grad + self.hess = hess + self.hessp = hessp + self.res = res + self.sres = sres + super().__init__(x_names) + + @property + def has_fun(self) -> bool: + return callable(self.fun) + + @property + def has_grad(self) -> bool: + return callable(self.grad) or self.grad is True + + @property + def has_hess(self) -> bool: + return callable(self.hess) or self.hess is True + + @property + def has_hessp(self) -> bool: + # Not supported yet + return False + + @property + def has_res(self) -> bool: + return callable(self.res) + + @property + def has_sres(self) -> bool: + return callable(self.sres) or self.sres is True + + def check_sensi_orders(self, sensi_orders, mode): + if (mode is MODE_FUN and + (0 in sensi_orders and not self.has_fun + or 1 in sensi_orders and not self.has_grad + or 2 in sensi_orders and not self.has_hess) + ) or (mode is MODE_RES and + (0 in sensi_orders and not self.has_res + or 1 in sensi_orders and not self.has_sres) + ): + return False + + return True + + def check_mode(self, mode): + if mode == MODE_FUN and not self.has_fun: + return False + + if mode == MODE_RES and not self.has_res: + return False + + return True + + def call_unprocessed(self, x, sensi_orders, mode): + """ + Call objective function without pre- or post-processing and + formatting. + + Returns + ------- + result: + A dict containing the results. + """ + if mode == MODE_FUN: + result = self._call_mode_fun(x, sensi_orders) + elif mode == MODE_RES: + result = self._call_mode_res(x, sensi_orders) + else: + raise ValueError("This mode is not supported.") + return result + + def _call_mode_fun( + self, x: np.ndarray, sensi_orders: Tuple[int, ...] + ) -> ResultDict: + if sensi_orders == (0,): + if self.grad is True: + fval = self.fun(x)[0] + else: + fval = self.fun(x) + result = {FVAL: fval} + + elif sensi_orders == (1,): + if self.grad is True: + grad = self.fun(x)[1] + else: + grad = self.grad(x) + result = {GRAD: grad} + elif sensi_orders == (2,): + if self.hess is True: + hess = self.fun(x)[2] + else: + hess = self.hess(x) + result = {HESS: hess} + elif sensi_orders == (0, 1): + if self.grad is True: + fval, grad = self.fun(x)[0:2] + else: + fval = self.fun(x) + grad = self.grad(x) + result = {FVAL: fval, + GRAD: grad} + elif sensi_orders == (1, 2): + if self.hess is True: + grad, hess = self.fun(x)[1:3] + else: + hess = self.hess(x) + if self.grad is True: + grad = self.fun(x)[1] + else: + grad = self.grad(x) + result = {GRAD: grad, + HESS: hess} + elif sensi_orders == (0, 1, 2): + if self.hess is True: + fval, grad, hess = self.fun(x)[0:3] + else: + hess = self.hess(x) + if self.grad is True: + fval, grad = self.fun(x)[0:2] + else: + fval = self.fun(x) + grad = self.grad(x) + result = {FVAL: fval, + GRAD: grad, + HESS: hess} + else: + raise ValueError("These sensitivity orders are not supported.") + + return result + + def _call_mode_res( + self, x: np.ndarray, sensi_orders: Tuple[int, ...] + ) -> ResultDict: + if sensi_orders == (0,): + if self.sres is True: + res = self.res(x)[0] + else: + res = self.res(x) + result = {RES: res} + + elif sensi_orders == (1,): + if self.sres is True: + sres = self.res(x)[1] + else: + sres = self.sres(x) + result = {SRES: sres} + elif sensi_orders == (0, 1): + if self.sres is True: + res, sres = self.res(x) + else: + res = self.res(x) + sres = self.sres(x) + result = {RES: res, + SRES: sres} + else: + raise ValueError("These sensitivity orders are not supported.") + + return result diff --git a/pypesto/objective/history.py b/pypesto/objective/history.py index c666fb26d..7e2dbbaf3 100644 --- a/pypesto/objective/history.py +++ b/pypesto/objective/history.py @@ -1,17 +1,44 @@ import numpy as np import pandas as pd +import numbers import copy import time import os import abc -from typing import Any, Dict, Iterable, List, Optional, Tuple, Sequence, Union +from typing import Any, Dict, List, Tuple, Sequence, Union from .constants import ( MODE_FUN, MODE_RES, FVAL, GRAD, HESS, RES, SRES, CHI2, SCHI2, TIME, N_FVAL, N_GRAD, N_HESS, N_RES, N_SRES, X) from .util import res_to_chi2, sres_to_schi2, sres_to_fim -ResultType = Dict[str, Union[float, np.ndarray]] +ResultDict = Dict[str, Union[float, np.ndarray]] +MaybeArray = Union[np.ndarray, 'np.nan'] + + +def trace_wrap(f): + """ + Wrapper around trace getters that transforms input `ix` vectors to a valid + index list, and reduces for integer `ix` the output to a single value. + """ + def wrapped_f( + self, ix: Union[Sequence[int], int, None] = None + ) -> Union[Sequence[Union[float, MaybeArray]], Union[float, MaybeArray]]: + # whether to reduce the output + reduce = isinstance(ix, numbers.Integral) + # default: full list + if ix is None: + ix = np.arange(0, len(self), dtype=int) + # turn every input into an index list + if reduce: + ix = np.array([ix], dtype=int) + # obtain the trace + trace = f(self, ix) + # reduce the output + if reduce: + trace = trace[0] + return trace + return wrapped_f class HistoryOptions(dict): @@ -106,7 +133,7 @@ def assert_instance( return options def create_history( - self, id: str, x_names: Iterable[str] + self, id: str, x_names: Sequence[str] ) -> 'History': """Factory method creating a :class:`History` object. @@ -148,12 +175,16 @@ class HistoryBase(abc.ABC): functionality. """ + def __len__(self): + """Number of stored entries in the history""" + raise NotImplementedError() + def update( self, x: np.ndarray, sensi_orders: Tuple[int, ...], mode: str, - result: ResultType + result: ResultDict ) -> None: """Update history after a function evaluation. @@ -203,40 +234,94 @@ def start_time(self) -> float: """Start time.""" raise NotImplementedError() - def get_x_trace(self) -> Sequence[np.ndarray]: - """Parameter trace.""" + def get_x_trace( + self, ix: Union[int, Sequence[int], None] = None + ) -> Union[Sequence[np.ndarray], np.ndarray]: + """Parameters. + + Takes as parameter an index or indices and returns corresponding trace + values. If only a single value is requested, the list is flattened. + """ raise NotImplementedError() - def get_fval_trace(self) -> Sequence[float]: - """Function value trace.""" + def get_fval_trace( + self, ix: Union[int, Sequence[int], None] = None + ) -> Union[Sequence[float], float]: + """Function values. + + Takes as parameter an index or indices and returns corresponding trace + values. If only a single value is requested, the list is flattened. + """ raise NotImplementedError() - def get_grad_trace(self) -> Sequence[np.ndarray]: - """Gradient trace.""" + def get_grad_trace( + self, ix: Union[int, Sequence[int], None] = None + ) -> Union[Sequence[MaybeArray], MaybeArray]: + """Gradients. + + Takes as parameter an index or indices and returns corresponding trace + values. If only a single value is requested, the list is flattened. + """ raise NotImplementedError() - def get_hess_trace(self) -> Sequence[np.ndarray]: - """Hessian trace.""" + def get_hess_trace( + self, ix: Union[int, Sequence[int], None] = None + ) -> Union[Sequence[MaybeArray], MaybeArray]: + """Hessians. + + Takes as parameter an index or indices and returns corresponding trace + values. If only a single value is requested, the list is flattened. + """ raise NotImplementedError() - def get_res_trace(self) -> Sequence[np.ndarray]: - """Residual trace.""" + def get_res_trace( + self, ix: Union[int, Sequence[int], None] = None + ) -> Union[Sequence[MaybeArray], MaybeArray]: + """Residuals. + + Takes as parameter an index or indices and returns corresponding trace + values. If only a single value is requested, the list is flattened. + """ raise NotImplementedError() - def get_sres_trace(self) -> Sequence[np.ndarray]: - """Residual sensitivity trace.""" + def get_sres_trace( + self, ix: Union[int, Sequence[int], None] = None + ) -> Union[Sequence[MaybeArray], MaybeArray]: + """Residual sensitivities. + + Takes as parameter an index or indices and returns corresponding trace + values. If only a single value is requested, the list is flattened. + """ raise NotImplementedError() - def get_chi2_trace(self) -> Sequence[np.ndarray]: - """Chi2 value trace.""" + def get_chi2_trace( + self, ix: Union[int, Sequence[int], None] = None + ) -> Union[Sequence[float], float]: + """Chi2 values. + + Takes as parameter an index or indices and returns corresponding trace + values. If only a single value is requested, the list is flattened. + """ raise NotImplementedError() - def get_schi2_trace(self, t: Optional[int] = None) -> Sequence[np.ndarray]: - """Chi2 value sensitivity trace.""" + def get_schi2_trace( + self, ix: Union[int, Sequence[int], None] = None + ) -> Union[Sequence[MaybeArray], MaybeArray]: + """Chi2 sensitivities. + + Takes as parameter an index or indices and returns corresponding trace + values. If only a single value is requested, the list is flattened. + """ raise NotImplementedError() - def get_time_trace(self, t: Optional[int] = None) -> Sequence[np.ndarray]: - """Execution time trace.""" + def get_time_trace( + self, ix: Union[int, Sequence[int], None] = None + ) -> Union[Sequence[float], float]: + """Cumulative execution times. + + Takes as parameter an index or indices and returns corresponding trace + values. If only a single value is requested, the list is flattened. + """ raise NotImplementedError() @@ -267,7 +352,7 @@ def update( x: np.ndarray, sensi_orders: Tuple[int, ...], mode: str, - result: ResultType + result: ResultDict ) -> None: """Update history after a function evaluation. @@ -347,51 +432,81 @@ def __init__(self, options: Union[HistoryOptions, Dict] = None): self._trace_keys = {X, FVAL, GRAD, HESS, RES, SRES, CHI2, SCHI2, TIME} self._trace: Dict[str, Any] = {key: [] for key in self._trace_keys} + def __len__(self): + return len(self._trace[TIME]) + def update( self, x: np.ndarray, sensi_orders: Tuple[int, ...], mode: str, - result: ResultType + result: ResultDict ) -> None: super().update(x, sensi_orders, mode, result) - self._update_trace(x, sensi_orders, mode, result) + self._update_trace(x, mode, result) - def _update_trace(self, x, sensi_orders, mode, result): + def _update_trace(self, x, mode, result): """Update internal trace representation.""" - ret = extract_values(sensi_orders, mode, result, self.options) + ret = extract_values(mode, result, self.options) for key in self._trace_keys - {X, TIME}: self._trace[key].append(ret[key]) used_time = time.time() - self._start_time self._trace[X].append(x) self._trace[TIME].append(used_time) - def get_x_trace(self) -> Sequence[np.ndarray]: - return self._trace[X] - - def get_fval_trace(self) -> Sequence[float]: - return self._trace[FVAL] - - def get_grad_trace(self) -> Sequence[np.ndarray]: - return self._trace[GRAD] - - def get_hess_trace(self) -> Sequence[np.ndarray]: - return self._trace[HESS] - - def get_res_trace(self) -> Sequence[np.ndarray]: - return self._trace[RES] - - def get_sres_trace(self) -> Sequence[np.ndarray]: - return self._trace[SRES] - - def get_chi2_trace(self) -> Sequence[np.ndarray]: - return self._trace[CHI2] - - def get_schi2_trace(self, t: Optional[int] = None) -> Sequence[np.ndarray]: - return self._trace[SCHI2] - - def get_time_trace(self, t: Optional[int] = None) -> Sequence[np.ndarray]: - return self._trace[TIME] + @trace_wrap + def get_x_trace( + self, ix: Union[int, Sequence[int], None] = None + ) -> Union[Sequence[np.ndarray], np.ndarray]: + return [self._trace[X][i] for i in ix] + + @trace_wrap + def get_fval_trace( + self, ix: Union[int, Sequence[int], None] = None + ) -> Union[Sequence[float], float]: + return [self._trace[FVAL][i] for i in ix] + + @trace_wrap + def get_grad_trace( + self, ix: Union[int, Sequence[int], None] = None + ) -> Union[Sequence[MaybeArray], MaybeArray]: + return [self._trace[GRAD][i] for i in ix] + + @trace_wrap + def get_hess_trace( + self, ix: Union[int, Sequence[int], None] = None + ) -> Union[Sequence[MaybeArray], MaybeArray]: + return [self._trace[HESS][i] for i in ix] + + @trace_wrap + def get_res_trace( + self, ix: Union[int, Sequence[int], None] = None + ) -> Union[Sequence[MaybeArray], MaybeArray]: + return [self._trace[RES][i] for i in ix] + + @trace_wrap + def get_sres_trace( + self, ix: Union[int, Sequence[int], None] = None + ) -> Union[Sequence[MaybeArray], MaybeArray]: + return [self._trace[SRES][i] for i in ix] + + @trace_wrap + def get_chi2_trace( + self, ix: Union[int, Sequence[int], None] = None + ) -> Union[Sequence[float], float]: + return [self._trace[CHI2][i] for i in ix] + + @trace_wrap + def get_schi2_trace( + self, ix: Union[int, Sequence[int], None] = None + ) -> Union[Sequence[MaybeArray], MaybeArray]: + return [self._trace[SCHI2][i] for i in ix] + + @trace_wrap + def get_time_trace( + self, ix: Union[int, Sequence[int], None] = None + ) -> Union[Sequence[float], float]: + return [self._trace[TIME][i] for i in ix] class CsvHistory(History): @@ -405,12 +520,15 @@ class CsvHistory(History): Parameter names. options: History options. + load_from_file: + If True, history will be initialized from data in the specified file """ def __init__(self, file: str, - x_names: Iterable[str] = None, - options: Union[HistoryOptions, Dict] = None): + x_names: Sequence[str] = None, + options: Union[HistoryOptions, Dict] = None, + load_from_file: bool = False): super().__init__(options=options) self.x_names = x_names self._trace: Union[pd.DataFrame, None] = None @@ -421,15 +539,41 @@ def __init__(self, dirname = os.path.dirname(self.file) os.makedirs(dirname, exist_ok=True) + if load_from_file: + trace = pd.read_csv(self.file, header=[0, 1], index_col=0) + # replace 'nan' in cols with np.NAN + cols = pd.DataFrame(trace.columns.to_list()) + cols[cols == 'nan'] = np.NaN + trace.columns = pd.MultiIndex.from_tuples( + cols.to_records(index=False).tolist() + ) + for col in trace.columns: + # transform strings to np.ndarrays + trace[col] = trace[col].apply(string2ndarray) + + self._trace = trace + self.x_names = trace[X].columns + self._update_counts_from_trace() + + def __len__(self): + return len(self._trace) + + def _update_counts_from_trace(self): + self._n_fval = self._trace[('n_fval', np.NaN)].max() + self._n_grad = self._trace[('n_grad', np.NaN)].max() + self._n_hess = self._trace[('n_hess', np.NaN)].max() + self._n_res = self._trace[('n_res', np.NaN)].max() + self._n_sres = self._trace[('n_sres', np.NaN)].max() + def update( self, x: np.ndarray, sensi_orders: Tuple[int, ...], mode: str, - result: ResultType + result: ResultDict ) -> None: super().update(x, sensi_orders, mode, result) - self._update_trace(x, sensi_orders, mode, result) + self._update_trace(x, mode, result) def finalize(self): """Finalize history. Called after a run.""" @@ -438,9 +582,8 @@ def finalize(self): def _update_trace(self, x: np.ndarray, - sensi_orders: Tuple[int], mode: str, - result: ResultType): + result: ResultDict): """ Update and possibly store the trace. """ @@ -452,7 +595,7 @@ def _update_trace(self, self._init_trace(x) # extract function values - ret = extract_values(sensi_orders, mode, result, self.options) + ret = extract_values(mode, result, self.options) used_time = time.time() - self._start_time @@ -480,9 +623,9 @@ def _update_trace(self, for var, val in {X: x, GRAD: ret[GRAD], SCHI2: ret[SCHI2]}.items(): if var == X or self.options[f'trace_record_{var}']: - row[var] = val if val is not None else np.NaN + row[var] = val else: - row[(var, float('nan'))] = None + row[(var, float('nan'))] = np.NaN self._trace = self._trace.append(row) @@ -513,7 +656,6 @@ def _init_trace(self, x: np.ndarray): columns.extend([(var,)]) # TODO: multi-index for res, sres, hess - self._trace = pd.DataFrame(columns=pd.MultiIndex.from_tuples(columns), dtype='float64') @@ -530,16 +672,13 @@ def _init_trace(self, x: np.ndarray): } for var, dtype in trace_dtypes.items(): - self._trace[(var, float('nan'))] = \ - self._trace[(var, float('nan'))].astype(dtype) + self._trace[(var, np.NaN)] = \ + self._trace[(var, np.NaN)].astype(dtype) def _save_trace(self, finalize: bool = False): """ Save to file via pd.DataFrame.to_csv() if `self.storage_file` is not None and other conditions apply. - - .. note:: - Format might be revised when storage is implemented. """ if self.file is None: return @@ -555,9 +694,59 @@ def _save_trace(self, finalize: bool = False): ) trace_copy.to_csv(self.file) - def get_fval_trace(self) -> pd.Series: - # TODO implement the other methods - return self._trace[FVAL] + @trace_wrap + def get_x_trace( + self, ix: Union[int, Sequence[int], None] = None + ) -> Union[Sequence[np.ndarray], np.ndarray]: + return list(self._trace[X].values[ix]) + + @trace_wrap + def get_fval_trace( + self, ix: Union[int, Sequence[int], None] + ) -> Union[Sequence[float], float]: + return list(self._trace[(FVAL, np.nan)].values[ix]) + + @trace_wrap + def get_grad_trace( + self, ix: Union[int, Sequence[int], None] = None + ) -> Union[Sequence[MaybeArray], MaybeArray]: + return list(self._trace[GRAD].values[ix]) + + @trace_wrap + def get_hess_trace( + self, ix: Union[int, Sequence[int], None] = None + ) -> Union[Sequence[MaybeArray], MaybeArray]: + return list(self._trace[(HESS, np.nan)].values[ix]) + + @trace_wrap + def get_res_trace( + self, ix: Union[int, Sequence[int], None] = None + ) -> Union[Sequence[MaybeArray], MaybeArray]: + return list(self._trace[(RES, np.nan)].values[ix]) + + @trace_wrap + def get_sres_trace( + self, ix: Union[int, Sequence[int], None] = None + ) -> Union[Sequence[MaybeArray], MaybeArray]: + return list(self._trace[(SRES, np.nan)].values[ix]) + + @trace_wrap + def get_chi2_trace( + self, ix: Union[int, Sequence[int], None] = None + ) -> Union[Sequence[float], float]: + return list(self._trace[(CHI2, np.nan)].values[ix]) + + @trace_wrap + def get_schi2_trace( + self, ix: Union[int, Sequence[int], None] = None + ) -> Union[Sequence[MaybeArray], MaybeArray]: + return list(self._trace[SCHI2].values[ix]) + + @trace_wrap + def get_time_trace( + self, ix: Union[int, Sequence[int], None] = None + ) -> Union[Sequence[float], float]: + return list(self._trace[(TIME, np.nan)].values[ix]) class Hdf5History(History): @@ -586,7 +775,7 @@ def update( x: np.ndarray, sensi_orders: Tuple[int, ...], mode: str, - result: ResultType + result: ResultDict ) -> None: # TODO implement raise NotImplementedError() @@ -595,58 +784,45 @@ def finalize(self): # TODO implement raise NotImplementedError() - def get_x_trace(self) -> Sequence[np.ndarray]: - # TODO implement - raise NotImplementedError() - - def get_fval_trace(self) -> Sequence[float]: - # TODO implement - raise NotImplementedError() - - def get_grad_trace(self) -> Sequence[np.ndarray]: - # TODO implement - raise NotImplementedError() - def get_hess_trace(self) -> Sequence[np.ndarray]: - # TODO implement - raise NotImplementedError() - - def get_res_trace(self) -> Sequence[np.ndarray]: - # TODO implement - raise NotImplementedError() - - def get_sres_trace(self) -> Sequence[np.ndarray]: - # TODO implement - raise NotImplementedError() - - def get_chi2_trace(self) -> Sequence[np.ndarray]: - # TODO implement - raise NotImplementedError() - - def get_schi2_trace(self, t: Optional[int] = None) -> Sequence[np.ndarray]: - # TODO implement - raise NotImplementedError() - - def get_time_trace(self, t: Optional[int] = None) -> Sequence[np.ndarray]: - # TODO implement - raise NotImplementedError() - - -class OptimizerHistory(HistoryBase): +class OptimizerHistory: """ - Objective call history. Also handles saving of intermediate results. + Objective call history. Container around a History object, which keeps + track of optimal values. Attributes ---------- fval0, fval_min: Initial and best function value found. + chi20, chi2_min: + Initial and best chi2 value found. x0, x_min: Initial and best parameters found. + grad_min: + gradient for best parameters + hess_min: + hessian (approximation) for best parameters + res_min: + residuals for best parameters + sres_min: + residual sensitivities for best parameters + + Parameters + ---------- + history: + History object to attach to this container. This history object + implements the storage of the actual history. + x0: + Initial values for optimization + generate_from_history: + If set to true, this function will try to fill attributes of this + function based on the provided history """ def __init__(self, history: History, - x0: np.ndarray) -> None: + x0: np.ndarray, + generate_from_history: bool = False) -> None: self.history: History = history # initial point @@ -661,56 +837,105 @@ def __init__(self, self.res_min: Union[np.ndarray, None] = None self.sres_min: Union[np.ndarray, None] = None + if generate_from_history: + self._compute_vals_from_trace() + def update(self, x: np.ndarray, sensi_orders: Tuple[int], mode: str, - result: ResultType) -> None: + result: ResultDict) -> None: """Update history and best found value.""" self.history.update(x, sensi_orders, mode, result) - self._update_vals(x, sensi_orders, mode, result) + self._update_vals(x, result) def finalize(self): self.history.finalize() def _update_vals(self, x: np.ndarray, - sensi_orders: Tuple[int], - mode: str, - result: ResultType): + result: ResultDict): """ Update initial and best function values. """ # update initial point - if self.fval0 is None and np.allclose(x, self.x0) \ - and 0 in sensi_orders: - if mode == MODE_FUN: - self.fval0 = result[FVAL] - self.x0 = x - else: # mode == MODE_RES: - chi2 = res_to_chi2(result[RES]) - self.fval0 = result.get(FVAL, chi2) - self.x0 = x + if np.allclose(x, self.x0): + if self.fval0 is None: + self.fval0 = result.get(FVAL, None) + self.x0 = x # update best point - if 0 in sensi_orders: - # extract function value - if mode == MODE_FUN: - fval = result[FVAL] - else: # mode == MODE_RES: - chi2 = res_to_chi2(result[RES]) - fval = result.get(FVAL, chi2) - # store value - if fval < self.fval_min: - self.fval_min = fval - self.x_min = x - self.grad_min = result.get(GRAD) - self.hess_min = result.get(HESS) - self.res_min = result.get(RES) - self.sres_min = result.get(SRES) - - -def ndarray2string_full(x: np.ndarray): + fval = result.get(FVAL, None) + grad = result.get(GRAD, None) + hess = result.get(HESS, None) + res = result.get(RES, None) + sres = result.get(SRES, None) + + if fval is not None and fval < self.fval_min: + self.fval_min = fval + self.x_min = x + self.grad_min = grad + self.hess_min = hess + self.res_min = res + self.sres_min = sres + + # sometimes sensitivities are evaluated on subsequent calls. We can + # identify this situation by checking that x hasn't changed + if np.all(self.x_min == x): + if self.grad_min is None and grad is not None: + self.grad_min = grad + if self.hess_min is None and hess is not None: + self.hess_min = hess + if self.res_min is None and res is not None: + self.res_min = res + if self.sres_min is None and sres is not None: + self.sres_min = sres + + def _compute_vals_from_trace(self): + # some optimizers may evaluate hess+grad first to compute trust region + # etc + max_init_iter = 3 + for it in range(min(len(self.history), max_init_iter)): + candidate = self.history.get_fval_trace(it) + if not np.isnan(candidate) \ + and np.allclose(self.history.get_x_trace(it), self.x0): + self.fval0 = candidate + break + + # we prioritize fval over chi2 as fval is written whenever possible + ix_min = np.nanargmin(self.history.get_fval_trace()) + # np.argmin returns ndarray when multiple minimal values are found, we + # generally want the first occurence + if isinstance(ix_min, np.ndarray): + ix_min = ix_min[0] + + for var in ['fval', 'chi2', 'x']: + self.extract_from_history(var, ix_min) + + if self.history.options.trace_record_res: + self.extract_from_history('res', ix_min) + + for var in ['grad', 'sres', 'hess']: + target = f'{var}_min' # attribute in self we want to set + ix_try = ix_min + 1 # index we try after ix_min doesnt work + if getattr(self.history.options, f'trace_record_{var}'): + self.extract_from_history(var, ix_min) + if getattr(self, target) is None \ + and ix_try < len(self.history) \ + and np.allclose(self.history.get_x_trace(ix_min), + self.history.get_x_trace(ix_try)): + # gradient/sres typically evaluated on the next call + # so we check if x remains the same and if yes try to + # extract from the next + self.extract_from_history(var, ix_try) + + def extract_from_history(self, var, ix): + val = getattr(self.history, f'get_{var}_trace')(ix) + if not np.all(np.isnan(val)): + setattr(self, f'{var}_min', val) + + +def ndarray2string_full(x: Union[np.ndarray, None]) -> Union[str, None]: """ Helper function that converts numpy arrays to string with 16 digit numerical precision and no truncation for large arrays @@ -725,53 +950,71 @@ def ndarray2string_full(x: np.ndarray): x: array as string """ - if x is None: - return None - return np.array2string(x, threshold=len(x), precision=16, + if not isinstance(x, np.ndarray): + return x + return np.array2string(x, threshold=x.size, precision=16, max_line_width=np.inf) -def extract_values(sensi_orders: Tuple[int, ...], - mode: str, - result: ResultType, +def string2ndarray(x: Union[str, float]) -> Union[np.ndarray, float]: + """ + Helper function that converts string to numpy arrays + + Parameters + ---------- + x: + array to convert + + Returns + ------- + x: + array as np.ndarray + """ + if not isinstance(x, str): + return x + if x.startswith('[['): + return np.vstack([ + np.fromstring(xx, sep=' ') + for xx in x[2:-2].split(']\n [') + ]) + else: + return np.fromstring(x[1:-1], sep=' ') + + +def extract_values(mode: str, + result: ResultDict, options: HistoryOptions) -> Dict: """Extract values to record from result.""" - if mode == MODE_FUN: - fval = np.NaN if 0 not in sensi_orders \ - else result.get(FVAL, np.NaN) - grad = None if not options.trace_record_grad \ - or 1 not in sensi_orders \ - else result.get(GRAD, None) - hess = None if not options.trace_record_hess \ - or 2 not in sensi_orders \ - else result.get(HESS, None) - res = None - sres = None - chi2 = np.NaN - schi2 = None - else: # mode == MODE_RES + ret = {} + ret_vars = [FVAL, GRAD, HESS, RES, SRES, CHI2, SCHI2] + for var in ret_vars: + if options.get(f'trace_record_{var}', True) and var in result: + ret[var] = result[var] + + # write values that weren't set yet with alternative methods + if mode == MODE_RES: res_result = result.get(RES, None) sres_result = result.get(SRES, None) - chi2 = np.NaN if not options.trace_record_chi2 \ - or 0 not in sensi_orders \ - else res_to_chi2(res_result) - schi2 = None if not options.trace_record_schi2 \ - or 1 not in sensi_orders \ - else sres_to_schi2(res_result, sres_result) - fval = np.NaN if 0 not in sensi_orders \ - else result.get(FVAL, chi2) - grad = None if not options.trace_record_grad \ - or 1 not in sensi_orders \ - else schi2 - hess = None if not options.trace_record_hess \ - or 1 not in sensi_orders \ - else sres_to_fim(sres_result) - res = None if not options.trace_record_res \ - or 0 not in sensi_orders \ - else res_result - sres = None if not options.trace_record_sres \ - or 1 not in sensi_orders \ - else sres_result - - return {FVAL: fval, GRAD: grad, HESS: hess, RES: res, SRES: sres, - CHI2: chi2, SCHI2: schi2} + chi2 = res_to_chi2(res_result) + schi2 = sres_to_schi2(res_result, sres_result) + fim = sres_to_fim(sres_result) + alt_values = {CHI2: chi2, SCHI2: schi2, HESS: fim} + if schi2 is not None: + alt_values[GRAD] = 0.5 * schi2 + + # filter according to options + alt_values = { + key: val + for key, val in alt_values.items() + if options.get(f'trace_record_{key}', True) + } + for var, val in alt_values.items(): + if val is not None: + ret[var] = ret.get(var, val) + + # set everything missing to NaN + for var in ret_vars: + if var not in ret: + ret[var] = np.NaN + + return ret diff --git a/pypesto/objective/pre_post_process.py b/pypesto/objective/pre_post_process.py index 53c2132ce..f6e85deab 100644 --- a/pypesto/objective/pre_post_process.py +++ b/pypesto/objective/pre_post_process.py @@ -1,5 +1,5 @@ import numpy as np -from typing import Dict, List +from typing import Dict, Sequence from .constants import GRAD, HESS, RES, SRES @@ -75,14 +75,14 @@ class FixedParametersProcessor(PrePostProcessor): def __init__(self, dim_full: int, - x_free_indices: List[int], - x_fixed_indices: List[int], - x_fixed_vals: List[float]): + x_free_indices: Sequence[int], + x_fixed_indices: Sequence[int], + x_fixed_vals: Sequence[float]): super().__init__() self.dim_full = dim_full - self.x_free_indices = x_free_indices - self.x_fixed_indices = x_fixed_indices - self.x_fixed_vals = x_fixed_vals + self.x_free_indices: np.ndarray = np.array(x_free_indices, dtype=int) + self.x_fixed_indices: np.ndarray = np.array(x_fixed_indices, dtype=int) + self.x_fixed_vals: np.ndarray = np.array(x_fixed_vals, dtype=float) def preprocess(self, x: np.ndarray) -> np.ndarray: """Embed optimization vector to full vector with all simulation @@ -100,17 +100,17 @@ def postprocess(self, result: Dict) -> Dict: """Constrain results to optimization parameter dimensions.""" result = super().postprocess(result) - if GRAD in result: + if result.get(GRAD, None) is not None: grad = result[GRAD] if grad.size == self.dim_full: grad = grad[self.x_free_indices] result[GRAD] = grad - if HESS in result: + if result.get(HESS, None) is not None: hess = result[HESS] if hess.shape[0] == self.dim_full: hess = hess[np.ix_(self.x_free_indices, self.x_free_indices)] result[HESS] = hess - if SRES in result: + if result.get(SRES, None) is not None: sres = result[SRES] if sres.shape[-1] == self.dim_full: sres = sres[..., self.x_free_indices] diff --git a/pypesto/objective/priors.py b/pypesto/objective/priors.py new file mode 100644 index 000000000..ba71e5851 --- /dev/null +++ b/pypesto/objective/priors.py @@ -0,0 +1,370 @@ +import numpy as np +from typing import Callable, Dict, List, Sequence, Tuple +from copy import deepcopy + +from .function import ObjectiveBase +from .aggregated import AggregatedObjective +from .constants import MODE_FUN, MODE_RES, FVAL, GRAD, HESS + +from .base import ResultDict + + +class NegLogPriors(AggregatedObjective): + """ + Aggregates different forms of negative log-prior distributions. + + Allows to distinguish priors from the likelihood by testing the type of + an objective. + + Consists basically of a list of individual negative log-priors, + given in self.objectives. + """ + + +class NegLogParameterPriors(ObjectiveBase): + """ + This class implements Negative Log Priors on Parameters. + + Contains a list of prior dictionaries for the individual parameters + of the format + + {'index': [int], + 'density_fun': [Callable], + 'density_dx': [Callable], + 'density_ddx': [Callable]} + + A prior instance can be added to e.g. an objective, that gives the + likelihood, by an AggregatedObjective. + + Notes + ----- + + All callables should correspond to log-densities. That is, they return + log-densities and their corresponding derivatives. + Internally, values are multiplied by -1, since pyPESTO expects the + Objective function to be of a negative log-density type. + """ + + def __init__(self, + prior_list: List[Dict], + x_names: Sequence[str] = None): + """ + Constructor + + Parameters + ---------- + + prior_list: + List of dicts containing the individual parameter priors. + Format see above. + + x_names: + Sequence of parameter names (optional). + """ + + self.prior_list = prior_list + super().__init__(x_names) + + def __deepcopy__(self, memodict=None): + other = NegLogParameterPriors(deepcopy(self.prior_list)) + return other + + def call_unprocessed( + self, + x: np.ndarray, + sensi_orders: Tuple[int, ...], + mode: str + ) -> ResultDict: + + res = {} + + for order in sensi_orders: + if order == 0: + res[FVAL] = self.neg_log_density(x) + elif order == 1: + res[GRAD] = self.gradient_neg_log_density(x) + elif order == 2: + res[HESS] = self.hessian_neg_log_density(x) + else: + ValueError(f'Invalid sensi order {order}.') + + return res + + def check_sensi_orders(self, + sensi_orders: Tuple[int, ...], + mode: str) -> bool: + for order in sensi_orders: + if not (0 <= order <= 2): + return False + return True + + def check_mode(self, mode) -> bool: + if mode == MODE_FUN: + return True + elif mode == MODE_RES: + return False + else: + ValueError(f'Invalid input: Expected mode {MODE_FUN} or' + f' {MODE_RES}, received {mode} instead.') + + def neg_log_density(self, x): + """ + Computes the negative log-density for a parameter + vector x. + """ + density_val = 0 + for prior in self.prior_list: + density_val -= prior['density_fun'](x[prior['index']]) + + return density_val + + def gradient_neg_log_density(self, x): + """ + Computes the gradient of the negative log-density for a parameter + vector x. + """ + grad = np.zeros_like(x) + + for prior in self.prior_list: + grad[prior['index']] -= prior['density_dx'](x[prior['index']]) + + return grad + + def hessian_neg_log_density(self, x): + """ + Computes the hessian of the negative log-density for a parameter + vector x. + """ + hessian = np.zeros((len(x), len(x))) + + for prior in self.prior_list: + hessian[prior['index'], prior['index']] -= \ + prior['density_ddx'](x[prior['index']]) + + return hessian + + def hessian_vp_neg_log_density(self, x, p): + """ + Computes the hessian vector product of the hessian of the + negative log-density for a parameter vector x with a vector p. + """ + h_dot_p = np.zeros_like(p) + + for prior in self.prior_list: + h_dot_p[prior['index']] -= \ + prior['density_ddx'](x[prior['index']]) * p[prior['index']] + + return h_dot_p + + +def get_parameter_prior_dict(index: int, + prior_type: str, + prior_parameters: list, + parameter_scale: str = 'lin'): + + """ + Returns the prior dict used to define priors for some default priors. + + index: + index of the parameter in x_full + + prior_type: str + Prior is defined in LINEAR=untransformed parameter space! prior_type + can from {uniform, normal, laplace, logUniform, logNormal, logLaplace} + + prior_parameters: + Parameters of the priors. Parameters are defined in linear scale. + + parameter_scale: + scale, in which parameter is defined (since a parameter can be + log-transformed, while the prior is always defined in the linear space) + """ + + log_f, d_log_f_dx, dd_log_f_ddx = \ + _prior_densities(prior_type, prior_parameters) + + if parameter_scale == 'lin': + + return {'index': index, + 'density_fun': log_f, + 'density_dx': d_log_f_dx, + 'density_ddx': dd_log_f_ddx} + + elif parameter_scale == 'log': + + def log_f_log(x_log): + """log-prior for log-parameters""" + return log_f(np.exp(x_log)) + + def d_log_f_log(x_log): + """derivative of log-prior w.r.t. log-parameters""" + return d_log_f_dx(np.exp(x_log)) * np.exp(x_log) + + def dd_log_f_log(x_log): + """second derivative of log-prior w.r.t. log-parameters""" + return np.exp(x_log) * \ + (d_log_f_dx(np.exp(x_log)) + + np.exp(x_log) * dd_log_f_ddx(np.exp(x_log))) + + return {'index': index, + 'density_fun': log_f_log, + 'density_dx': d_log_f_log, + 'density_ddx': dd_log_f_log} + + elif parameter_scale == 'log10': + + log10 = np.log(10) + + def log_f_log10(x_log10): + """log-prior for log10-parameters""" + return log_f(10**x_log10) + + def d_log_f_log10(x_log10): + """derivative of log-prior w.r.t. log10-parameters""" + return d_log_f_dx(10**x_log10) * log10 * 10**x_log10 + + def dd_log_f_log10(x_log10): + """second derivative of log-prior w.r.t. log10-parameters""" + return log10**2 * 10**x_log10 * \ + (dd_log_f_ddx(10**x_log10) * 10**x_log10 + + d_log_f_dx(10**x_log10)) + + return {'index': index, + 'density_fun': log_f_log10, + 'density_dx': d_log_f_log10, + 'density_ddx': dd_log_f_log10} + + else: + raise ValueError(f"NegLogPriors in parameters in scale " + f"{parameter_scale} are currently not supported.") + + +def _prior_densities(prior_type: str, + prior_parameters: np.array) -> [Callable, + Callable, + Callable]: + """ + Returns a tuple of Callables of the (log-)density (in untransformed = + linear scale), together with their first + second derivative + (= sensis) w.r.t. x. + + + Currently the following distributions are supported: + + * uniform: + prior_parameters[0] and prior_parameters[1] give the lower and upper + boundary. + * normal: + normal distribution, with mean prior_parameters[0] and + standard deviation prior_parameters[1] + * laplace: + laplace distribution, with location prior_parameters[0] and + scale prior_parameters[1] + * logNormal: + logNormal distribution, where prior_parameters are mean and + standard deviation of the exp(X). + + Currently not supported, but eventually planed are the + following distributions: + + * logUniform + * logLaplace + + """ + + if prior_type == 'uniform': + + def log_f(x): + if prior_parameters[0] <= x <= prior_parameters[1]: + return - np.log(prior_parameters[1] - prior_parameters[0]) + else: + return 0 + + d_log_f_dx = _get_constant_function(0) + dd_log_f_ddx = _get_constant_function(0) + + return log_f, d_log_f_dx, dd_log_f_ddx + + elif prior_type == 'normal': + + mean = prior_parameters[0] + sigma2 = prior_parameters[1]**2 + + def log_f(x): + return -np.log(2*np.pi*sigma2)/2 - \ + (x-mean)**2/(2*sigma2) + + d_log_f_dx = _get_linear_function(-1/sigma2, + mean/sigma2) + dd_log_f_ddx = _get_constant_function(-1/sigma2) + + return log_f, d_log_f_dx, dd_log_f_ddx + + elif prior_type == 'laplace': + + mean = prior_parameters[0] + scale = prior_parameters[1] + log_2_sigma = np.log(2*prior_parameters[1]) + + def log_f(x): + return -log_2_sigma -\ + abs(x-mean)/scale + + def d_log_f_dx(x): + if x > prior_parameters[0]: + return -1/scale + else: + return 1/scale + + dd_log_f_ddx = _get_constant_function(0) + + return log_f, d_log_f_dx, dd_log_f_ddx + + elif prior_type == 'logUniform': + # when implementing: add to tests + raise NotImplementedError + elif prior_type == 'logNormal': + + # TODO check again :) + mean = prior_parameters[0] + sigma = prior_parameters[1] + sqrt2_pi = np.sqrt(2*np.pi) + + def log_f(x): + return - np.log(sqrt2_pi * sigma * x) \ + - (np.log(x) - mean)**2/(2*sigma**2) + + def d_log_f_dx(x): + return - 1/x - (np.log(x) - mean)/(sigma**2 * x) + + def dd_log_f_ddx(x): + return 1/(x**2) \ + - (1 - np.log(x) + mean)/(sigma**2 * x**2) + + return log_f, d_log_f_dx, dd_log_f_ddx + + elif prior_type == 'logLaplace': + # when implementing: add to tests + raise NotImplementedError + else: + ValueError(f'NegLogPriors of type {prior_type} are currently ' + 'not supported') + + +def _get_linear_function(slope: float, + intercept: float = 0): + """ + Returns a linear function + """ + def function(x): + return slope * x + intercept + return function + + +def _get_constant_function(constant: float): + """ + Defines a callable, that returns the constant, regardless of the input. + """ + def function(x): + return constant + return function diff --git a/pypesto/objective/util.py b/pypesto/objective/util.py index c3a9584af..1a48c3dec 100644 --- a/pypesto/objective/util.py +++ b/pypesto/objective/util.py @@ -4,16 +4,16 @@ def res_to_chi2(res: np.ndarray): """ We assume that the residuals res are related to an objective function - value fval = chi2 via:: + value chi2 via:: - fval = 0.5 * sum(res**2) - - which is the 'Linear' formulation in scipy. + chi2 = sum(res**2) + which is consistent with the AMICI definition but NOT the 'Linear' + formulation in scipy. """ if res is None: return None - return 0.5 * np.power(res, 2).sum() + return np.dot(res, res) def sres_to_schi2(res: np.ndarray, sres: np.ndarray): @@ -22,7 +22,7 @@ def sres_to_schi2(res: np.ndarray, sres: np.ndarray): """ if res is None or sres is None: return None - return res.dot(sres) + return 2 * res.dot(sres) def sres_to_fim(sres: np.ndarray): diff --git a/pypesto/optimize/__init__.py b/pypesto/optimize/__init__.py index 50442b20b..7c596f864 100644 --- a/pypesto/optimize/__init__.py +++ b/pypesto/optimize/__init__.py @@ -11,6 +11,7 @@ from .optimizer import ( Optimizer, ScipyOptimizer, + IpoptOptimizer, DlibOptimizer, PyswarmOptimizer) from .result import OptimizerResult diff --git a/pypesto/optimize/optimize.py b/pypesto/optimize/optimize.py index f5213830b..238498412 100644 --- a/pypesto/optimize/optimize.py +++ b/pypesto/optimize/optimize.py @@ -1,14 +1,12 @@ import logging from typing import Callable, Iterable, Union -import numpy as np from ..engine import OptimizerTask, Engine, SingleCoreEngine -from ..objective import Objective, HistoryOptions +from ..objective import HistoryOptions from ..problem import Problem from ..result import Result from ..startpoint import assign_startpoints, uniform -from .optimizer import ( - OptimizerResult, recover_result, Optimizer, ScipyOptimizer) +from .optimizer import Optimizer, ScipyOptimizer from .options import OptimizeOptions @@ -101,8 +99,7 @@ def minimize( for startpoint, id in zip(startpoints, ids): task = OptimizerTask( optimizer=optimizer, problem=problem, x0=startpoint, id=id, - options=options, history_options=history_options, - handle_exception=handle_exception) + options=options, history_options=history_options) tasks.append(task) # do multistart optimization @@ -116,17 +113,3 @@ def minimize( result.optimize_result.sort() return result - - -def handle_exception( - objective: Objective, - x0: np.ndarray, - id: str, - err: Exception -) -> OptimizerResult: - """ - Handle exception by creating a dummy pypesto.OptimizerResult. - """ - logger.error(('start ' + str(id) + ' failed: {0}').format(err)) - optimizer_result = recover_result(objective, x0, err) - return optimizer_result diff --git a/pypesto/optimize/optimizer.py b/pypesto/optimize/optimizer.py index b4fb167d9..e69ac1dbd 100644 --- a/pypesto/optimize/optimizer.py +++ b/pypesto/optimize/optimizer.py @@ -6,21 +6,27 @@ import logging from typing import Dict -from ..objective import ( - OptimizerHistory, HistoryOptions, res_to_chi2) +from ..objective import (OptimizerHistory, HistoryOptions, CsvHistory) +from ..objective.history import HistoryBase from ..problem import Problem from .result import OptimizerResult try: - import pyswarm + import ipopt except ImportError: - pyswarm = None + ipopt = None try: import dlib except ImportError: dlib = None +try: + import pyswarm +except ImportError: + pyswarm = None + +EXITFLAG_LOADED_FROM_FILE = -99 logger = logging.getLogger(__name__) @@ -31,7 +37,8 @@ def history_decorator(minimize): information stored in the history. """ - def wrapped_minimize(self, problem, x0, id, history_options=None): + def wrapped_minimize(self, problem, x0, id, allow_failed_starts, + history_options=None): objective = problem.objective # initialize the objective @@ -49,12 +56,22 @@ def wrapped_minimize(self, problem, x0, id, history_options=None): objective.history = optimizer_history # perform the actual minimization - result = minimize(self, problem, x0, id, history_options) - - objective.history.finalize() - result.id = id - result = fill_result_from_objective_history( - result, objective.history, self.is_least_squares) + try: + result = minimize(self, problem, x0, id, history_options) + objective.history.finalize() + result.id = id + except Exception as err: + if allow_failed_starts: + logger.error(f'start {id} failed: {err}') + result = OptimizerResult( + x0=x0, exitflag=-1, message=str(err), id=id) + else: + raise + + result = fill_result_from_objective_history(result, objective.history) + + # clean up, history is available from result + objective.history = HistoryBase() return result return wrapped_minimize @@ -67,9 +84,11 @@ def time_decorator(minimize): the wall-clock time. """ - def wrapped_minimize(self, problem, x0, id, history_options=None): + def wrapped_minimize(self, problem, x0, id, allow_failed_starts, + history_options=None): start_time = time.time() - result = minimize(self, problem, x0, id, history_options) + result = minimize(self, problem, x0, id, allow_failed_starts, + history_options) used_time = time.time() - start_time result.time = used_time return result @@ -83,15 +102,14 @@ def fix_decorator(minimize): derivatives). """ - def wrapped_minimize(self, problem, x0, id, history_options=None): + def wrapped_minimize(self, problem, x0, id, allow_failed_starts, + history_options=None): # perform the actual optimization - result = minimize(self, problem, x0, id, history_options) + result = minimize(self, problem, x0, id, allow_failed_starts, + history_options) # vectors to full vectors - result.x = problem.get_full_vector(result.x, problem.x_fixed_vals) - result.grad = problem.get_full_vector(result.grad) - result.hess = problem.get_full_matrix(result.hess) - result.x0 = problem.get_full_vector(result.x0, problem.x_fixed_vals) + result.update_to_full(problem) logger.info(f"Final fval={result.fval:.4f}, " f"time={result.time:.4f}s, " @@ -103,26 +121,33 @@ def wrapped_minimize(self, problem, x0, id, history_options=None): def fill_result_from_objective_history( result: OptimizerResult, - optimizer_history: OptimizerHistory, - is_least_squares: bool): + optimizer_history: OptimizerHistory): """ Overwrite function values in the result object with the values recorded in the history. """ - # best found values - if result.fval is not None and \ - not np.isclose(result.fval, optimizer_history.fval_min) and \ - not is_least_squares: + update_vals = True + # check history for better values + # value could be different e.g. if constraints violated + if optimizer_history.fval_min is not None and result.fval is not None \ + and not np.isclose(optimizer_history.fval_min, result.fval): logger.warning( "Function values from history and optimizer do not match: " f"{optimizer_history.fval_min}, {result.fval}") + # do not use value from history + update_vals = False - if optimizer_history.x_min is not None and result.x is not None and \ - not np.allclose(result.x, optimizer_history.x_min): + if optimizer_history.x_min is not None and result.x is not None \ + and not np.allclose(result.x, optimizer_history.x_min): logger.warning( "Parameters obtained from history and optimizer do not match: " f"{optimizer_history.x_min}, {result.x}") - else: + # do not use value from history + update_vals = result.fval is None + + # update optimal values from history if reported function values + # and parameters coincide + if update_vals: # override values from history if available result.x = optimizer_history.x_min result.fval = optimizer_history.fval_min @@ -140,6 +165,7 @@ def fill_result_from_objective_history( result.fval0 = optimizer_history.fval0 # counters + # we only use our own counters here as optimizers may report differently result.n_fval = optimizer_history.history.n_fval result.n_grad = optimizer_history.history.n_grad result.n_hess = optimizer_history.history.n_hess @@ -152,17 +178,31 @@ def fill_result_from_objective_history( return result -def recover_result(objective, startpoint, err): - """ - Upon an error, recover from the objective history whatever available, - and indicate in exitflag and message that an error occurred. - """ +def read_result_from_file(problem: Problem, history_options: HistoryOptions, + identifier: str): + if history_options.storage_file.endswith('.csv'): + history = CsvHistory( + file=history_options.storage_file.format(id=identifier), + options=history_options, + load_from_file=True + ) + else: + raise NotImplementedError() + + opt_hist = OptimizerHistory( + history, history.get_x_trace(0), + generate_from_history=True + ) + result = OptimizerResult( - x0=startpoint, - exitflag=-1, - message=str(err), + id=identifier, + message='loaded from file', + exitflag=EXITFLAG_LOADED_FROM_FILE, + time=max(history.get_time_trace()) ) - fill_result_from_objective_history(result, objective.history, False) + result.id = identifier + result = fill_result_from_objective_history(result, opt_hist) + result.update_to_full(problem) return result @@ -210,8 +250,7 @@ def minimize( def is_least_squares(self): return False - @staticmethod - def get_default_options(): + def get_default_options(self): """ Create default options specific for the optimizer. """ @@ -283,7 +322,10 @@ def minimize( loss='linear', **self.options ) - + # extract fval/grad from result, note that fval is not available + # from least squares solvers + grad = getattr(res, 'grad', None) + fval = None else: # is an fval based optimization method @@ -332,12 +374,9 @@ def minimize( bounds=bounds, options=self.options, ) - - # some fields are not filled by all optimizers, then fill in None - grad = getattr(res, 'grad', None) if self.is_least_squares() \ - else getattr(res, 'jac', None) - fval = res_to_chi2(res.fun) if self.is_least_squares() \ - else res.fun + # extract fval/grad from result + grad = getattr(res, 'jac', None) + fval = res.fun # fill in everything known, although some parts will be overwritten optimizer_result = OptimizerResult( @@ -354,7 +393,6 @@ def minimize( def is_least_squares(self): return re.match(r'(?i)^(ls_)', self.method) - @staticmethod def get_default_options(self): if self.is_least_squares: options = {'max_nfev': 1000, 'disp': False} @@ -363,6 +401,57 @@ def get_default_options(self): return options +class IpoptOptimizer(Optimizer): + """Use IpOpt (https://pypi.org/project/ipopt/) for optimization.""" + + def __init__( + self, options: Dict = None): + """ + Parameters + ---------- + options: + Options are directly passed on to `ipopt.minimize_ipopt`. + """ + super().__init__() + self.options = options + + @fix_decorator + @time_decorator + @history_decorator + def minimize( + self, + problem: Problem, + x0: np.ndarray, + id: str, + history_options: HistoryOptions = None, + ) -> OptimizerResult: + objective = problem.objective + + bounds = np.array([problem.lb, problem.ub]).T + + ret = ipopt.minimize_ipopt( + fun=objective.get_fval, + x0=x0, + method=None, # ipopt does not use this argument for anything + jac=objective.get_grad, + hess=None, # ipopt does not support Hessian yet + hessp=None, # ipopt does not support Hessian vector product yet + bounds=bounds, + tol=None, # can be set via options + options=self.options, + ) + + # the ipopt return object is a scipy.optimize.OptimizeResult + return OptimizerResult( + x=ret.x, + exitflag=ret.status, + message=ret.message + ) + + def is_least_squares(self): + return False + + class DlibOptimizer(Optimizer): """ Use the Dlib toolbox for optimization. @@ -422,7 +511,6 @@ def get_fval_vararg(*x): def is_least_squares(self): return False - @staticmethod def get_default_options(self): return {} diff --git a/pypesto/optimize/result.py b/pypesto/optimize/result.py index f11f53acc..18aabf21f 100644 --- a/pypesto/optimize/result.py +++ b/pypesto/optimize/result.py @@ -1,6 +1,7 @@ import numpy as np from ..objective import History +from ..problem import Problem class OptimizerResult(dict): @@ -103,3 +104,18 @@ def __getattr__(self, key): __setattr__ = dict.__setitem__ __delattr__ = dict.__delitem__ + + def update_to_full(self, problem: Problem) -> None: + """ + Updates values to full vectors/matrices + + Parameters + ---------- + problem: + problem which contains info about how to convert to full vectors + or matrices + """ + self.x = problem.get_full_vector(self.x, problem.x_fixed_vals) + self.grad = problem.get_full_vector(self.grad) + self.hess = problem.get_full_matrix(self.hess) + self.x0 = problem.get_full_vector(self.x0, problem.x_fixed_vals) diff --git a/pypesto/petab/importer.py b/pypesto/petab/importer.py index d2b68dab6..c50c23e71 100644 --- a/pypesto/petab/importer.py +++ b/pypesto/petab/importer.py @@ -1,4 +1,5 @@ import pandas as pd +import numpy as np import os import sys import importlib @@ -8,7 +9,9 @@ from typing import List, Sequence, Union from ..problem import Problem -from ..objective import AmiciObjective, AmiciObjectBuilder +from ..objective import AmiciObjective, AmiciObjectBuilder, AggregatedObjective +from ..objective.priors import NegLogParameterPriors, \ + get_parameter_prior_dict try: import petab @@ -111,10 +114,9 @@ def _create_model(self) -> 'amici.Model': the model. """ # load moduĺe - model_module = importlib.import_module(self.model_name) - - # import model - model = model_module.getModel() + module = amici.import_model_module(module_name=self.model_name, + module_path=self.output_folder) + model = module.getModel() return model @@ -266,6 +268,45 @@ def create_objective( return obj + def create_prior(self) -> NegLogParameterPriors: + """ + Creates a prior from the parameter table. Returns None, if no priors + are defined. + """ + + prior_list = [] + + if petab.OBJECTIVE_PRIOR_TYPE in self.petab_problem.parameter_df: + + for i, x_id in enumerate(self.petab_problem.x_ids): + + prior_type_entry = self.petab_problem.\ + parameter_df.loc[x_id, petab.OBJECTIVE_PRIOR_TYPE] + + # TODO: Change the hardcoded "uninformative" to + # petab.UNINFORMATIVE, if corresponding PEtab PR is merged + if not (np.isnan(prior_type_entry) + or prior_type_entry == 'uninformative'): + + prior_params = [float(param) for param in + self.petab_problem.parameter_df. + loc[x_id, petab.OBJECTIVE_PRIOR_PARAMETERS] + .split(';')] + + scale = self.petab_problem.\ + parameter_df.loc[x_id, petab.PARAMETER_SCALE] + + prior_list.append( + get_parameter_prior_dict(i, + prior_type_entry, + prior_params, + scale)) + + if len(prior_list): + return NegLogParameterPriors(prior_list) + else: + return None + def create_problem( self, objective: AmiciObjective = None, **kwargs ) -> Problem: @@ -287,13 +328,24 @@ def create_problem( if objective is None: objective = self.create_objective(**kwargs) + prior = self.create_prior() + + if prior is not None: + objective = AggregatedObjective([objective, prior]) + + x_scales = \ + [self.petab_problem.parameter_df.loc[x_id, petab.PARAMETER_SCALE] + for x_id in self.petab_problem.x_ids] + problem = Problem( objective=objective, lb=self.petab_problem.lb_scaled, ub=self.petab_problem.ub_scaled, x_fixed_indices=self.petab_problem.x_fixed_indices, x_fixed_vals=self.petab_problem.x_nominal_fixed_scaled, - x_names=self.petab_problem.x_ids) + x_names=self.petab_problem.x_ids, + x_scales=x_scales, + x_priors_defs=prior) return problem diff --git a/pypesto/problem.py b/pypesto/problem.py index c41e92401..5b07302c1 100644 --- a/pypesto/problem.py +++ b/pypesto/problem.py @@ -9,10 +9,13 @@ import numpy as np import pandas as pd +import numbers import copy + from typing import Iterable, List, Optional, Union -from .objective.objective import Objective +from .objective import ObjectiveBase +from .objective.priors import NegLogPriors class Problem: @@ -45,10 +48,13 @@ class Problem: else the values specified here are used if not None, otherwise the variable names are set to ['x0', ... 'x{dim_full}']. The list must always be of length dim_full. - - Attributes - ---------- - + x_scales: + Parameter scales can be optionally given and are used e.g. in + visualisation and prior generation. Currently the scales 'lin', + 'log`and 'log10' are supported. + x_priors_defs: + Definitions of priors for parameters. Types of priors, and their + required and optional parameters, are described in the `Prior` class. dim: The number of non-fixed parameters. Computed from the other values. @@ -72,76 +78,100 @@ class Problem: """ def __init__(self, - objective: Objective, + objective: ObjectiveBase, lb: Union[np.ndarray, List[float]], ub: Union[np.ndarray, List[float]], dim_full: Optional[int] = None, x_fixed_indices: Optional[Iterable[int]] = None, x_fixed_vals: Optional[Iterable[float]] = None, x_guesses: Optional[Iterable[float]] = None, - x_names: Optional[Iterable[str]] = None): + x_names: Optional[Iterable[str]] = None, + x_scales: Optional[Iterable[str]] = None, + x_priors_defs: Optional[NegLogPriors] = None): self.objective = copy.deepcopy(objective) - self.lb = np.array(lb).flatten() - self.ub = np.array(ub).flatten() - self.lb_full = np.array(lb).flatten() self.ub_full = np.array(ub).flatten() - self.dim_full = dim_full if dim_full is not None else self.lb.size + self.dim_full = dim_full if dim_full is not None else self.lb_full.size if x_fixed_indices is None: x_fixed_indices = [] - self.x_fixed_indices: List[int] = [int(i) for i in x_fixed_indices] + self.x_fixed_indices: List[int] = [int(ix) for ix in x_fixed_indices] # We want the fixed values to be a list, since we might need to add # or remove values during profile computation if x_fixed_vals is None: x_fixed_vals = [] - if not isinstance(x_fixed_vals, list): + if isinstance(x_fixed_vals, numbers.Real): x_fixed_vals = [x_fixed_vals] + self.x_fixed_vals: List[float] = [float(x) for x in x_fixed_vals] - self.x_fixed_vals = x_fixed_vals - - self.dim: int = self.dim_full - len(self.x_fixed_indices) - - self.x_free_indices = [ - int(i) for i in - set(range(0, self.dim_full)) - set(self.x_fixed_indices) - ] + self._x_free_indices: Union[List[int], None] = None if x_guesses is None: - x_guesses = np.zeros((0, self.dim)) - self.x_guesses = np.array(x_guesses) + x_guesses = np.zeros((0, self.dim_full)) + self.x_guesses_full: np.ndarray = np.array(x_guesses) if objective.x_names is not None: x_names = objective.x_names elif x_names is None: x_names = [f'x{j}' for j in range(0, self.dim_full)] - self.x_names = x_names + self.x_names: List[str] = list(x_names) + + if x_scales is None: + x_scales = ['lin'] * self.dim_full + self.x_scales = x_scales + + self.x_priors = x_priors_defs + + self.normalize() + + @property + def lb(self) -> np.ndarray: + return self.lb_full[self.x_free_indices] + + @property + def ub(self) -> np.ndarray: + return self.ub_full[self.x_free_indices] + + @property + def x_guesses(self) -> np.ndarray: + return self.x_guesses_full[:, self.x_free_indices] + + @property + def dim(self) -> int: + return self.dim_full - len(self.x_fixed_indices) - self.normalize_input() + @property + def x_free_indices(self) -> List[int]: + return sorted(set(range(0, self.dim_full)) - set(self.x_fixed_indices)) - def normalize_input(self, check_x_guesses: bool = True) -> None: + def normalize(self) -> None: """ Reduce all vectors to dimension dim and have the objective accept vectors of dimension dim. """ - if self.lb.size == self.dim_full: - self.lb = self.lb[self.x_free_indices] - elif self.lb.size == 1: - self.lb = self.lb * np.ones(self.dim) - self.lb_full = self.lb * np.ones(self.dim_full) - - if self.ub.size == self.dim_full: - self.ub = self.ub[self.x_free_indices] - elif self.ub.size == 1: - self.ub = self.ub * np.ones(self.dim) - self.ub_full = self.ub * np.ones(self.dim_full) - - if self.x_guesses.shape[1] == self.dim_full: - self.x_guesses = self.x_guesses[:, self.x_free_indices] + if self.lb_full.size == 1: + self.lb_full = self.lb_full * np.ones(self.dim_full) + elif self.lb_full.size != self.dim_full: + self.lb_full = np.empty(self.dim_full) + self.lb_full[self.x_free_indices] = self.lb + self.lb_full[self.x_fixed_indices] = self.x_fixed_vals + + if self.ub_full.size == 1: + self.ub_full = self.ub_full * np.ones(self.dim_full) + elif self.ub_full.size != self.dim_full: + self.ub_full = np.empty(self.dim_full) + self.ub_full[self.x_free_indices] = self.ub + self.ub_full[self.x_fixed_indices] = self.x_fixed_vals + + if self.x_guesses_full.shape[1] != self.dim_full: + x_guesses = np.empty((self.x_guesses_full.shape[0], self.dim_full)) + x_guesses[:] = np.nan + x_guesses[:, self.x_free_indices] = self.x_guesses_full + self.x_guesses_full = x_guesses # make objective aware of fixed parameters self.objective.update_from_problem( @@ -151,17 +181,12 @@ def normalize_input(self, check_x_guesses: bool = True) -> None: x_fixed_vals=self.x_fixed_vals) # sanity checks - if self.lb.size != self.dim: - raise AssertionError("lb dimension invalid.") - if self.ub.size != self.dim: - raise AssertionError("ub dimension invalid.") if self.lb_full.size != self.dim_full: raise AssertionError("lb_full dimension invalid.") if self.ub_full.size != self.dim_full: raise AssertionError("ub_full dimension invalid.") - if check_x_guesses: - if self.x_guesses.shape[1] != self.dim: - raise AssertionError("x_guesses form invalid.") + if len(self.x_scales) != self.dim_full: + raise AssertionError("x_scales dimension invalid.") if len(self.x_names) != self.dim_full: raise AssertionError("x_names must be of length dim_full.") if len(self.x_fixed_indices) != len(self.x_fixed_vals): @@ -182,7 +207,7 @@ def fix_parameters( if not isinstance(parameter_vals, list): parameter_vals = [parameter_vals] - # first clean to be fixed indices to avoid redundancies + # first clean to-be-fixed indices to avoid redundancies for i_index, i_parameter in enumerate(parameter_indices): # check if parameter was already fixed, otherwise add it to the # fixed parameters @@ -194,14 +219,7 @@ def fix_parameters( self.x_fixed_indices.append(i_parameter) self.x_fixed_vals.append(parameter_vals[i_index]) - self.dim = self.dim_full - len(self.x_fixed_indices) - - self.x_free_indices = [ - int(i) for i in - set(range(0, self.dim_full)) - set(self.x_fixed_indices) - ] - - self.normalize_input() + self.normalize() def unfix_parameters( self, @@ -214,24 +232,14 @@ def unfix_parameters( if not isinstance(parameter_indices, list): parameter_indices = [parameter_indices] - # first clean to be freed indices - for i_index, i_parameter in enumerate(parameter_indices): + # first clean to-be-freed indices + for i_parameter in parameter_indices: if i_parameter in self.x_fixed_indices: + i_index = self.x_fixed_indices.index(i_parameter) self.x_fixed_indices.pop(i_index) self.x_fixed_vals.pop(i_index) - self.dim = self.dim_full - len(self.x_fixed_indices) - - self.x_free_indices = [ - int(i) for i in - set(range(0, self.dim_full)) - set(self.x_fixed_indices) - ] - - # readapt bounds - self.lb = self.lb_full[self.x_free_indices] - self.ub = self.ub_full[self.x_free_indices] - - self.normalize_input(False) + self.normalize() def get_full_vector( self, @@ -335,21 +343,36 @@ def get_reduced_matrix( return x + def full_index_to_free_index(self, full_index: int): + """Calculate index in reduced vector from index in full vector. + + Parameters + ---------- + full_index: The index in the full vector. + + Returns + ------- + free_index: The index in the free vector. + """ + fixed_indices = np.asarray(self.x_fixed_indices) + if full_index in fixed_indices: + raise ValueError( + "Cannot compute index in free vector: Index is fixed.") + return full_index - sum(fixed_indices < full_index) + def print_parameter_summary(self) -> None: """ Prints a summary of what parameters are being optimized and - what parameter boundaries are + parameter boundaries. """ - print( + print( # noqa: T001 (print) pd.DataFrame( index=self.x_names, data={ - 'free': [ - idx not in self.x_fixed_indices - for idx in range(self.dim_full) - ], - 'lb': self.lb_full, - 'ub': self.ub_full + 'free': [idx in self.x_free_indices + for idx in range(self.dim_full)], + 'lb_full': self.lb_full, + 'ub_full': self.ub_full } ) ) diff --git a/pypesto/profile/__init__.py b/pypesto/profile/__init__.py index bfc916ae3..6d8629091 100644 --- a/pypesto/profile/__init__.py +++ b/pypesto/profile/__init__.py @@ -4,7 +4,13 @@ """ from .profile import ( - parameter_profile, + parameter_profile) +from .approximate import ( + approximate_parameter_profile) +from .options import ( ProfileOptions) - -from .result import (ProfilerResult) +from .result import ( + ProfilerResult) +from .util import ( + chi2_quantile_to_ratio, + calculate_approximate_ci) diff --git a/pypesto/profile/approximate.py b/pypesto/profile/approximate.py new file mode 100644 index 000000000..bf54cdd71 --- /dev/null +++ b/pypesto/profile/approximate.py @@ -0,0 +1,112 @@ +import logging +import numpy as np +from scipy.stats import multivariate_normal +from typing import Iterable + +from ..problem import Problem +from ..result import Result +from .result import ProfilerResult +from .util import initialize_profile + +logger = logging.getLogger(__name__) + + +def approximate_parameter_profile( + problem: Problem, + result: Result, + profile_index: Iterable[int] = None, + profile_list: int = None, + result_index: int = 0, + n_steps: int = 100, +) -> Result: + """ + Calculate profiles based on an approximation via a normal likelihood + centered at the chosen optimal parameter value, with the covariance matrix + being the Hessian or FIM. + + Parameters + ---------- + problem: + The problem to be solved. + result: + A result object to initialize profiling and to append the profiling + results to. For example, one might append more profiling runs to a + previous profile, in order to merge these. + The existence of an optimization result is obligatory. + profile_index: + Array with parameter indices, whether a profile should + be computed (1) or not (0). + Default is all profiles should be computed. + profile_list: + Integer which specifies whether a call to the profiler should create + a new list of profiles (default) or should be added to a specific + profile list. + result_index: + Index from which optimization result profiling should be started + (default: global optimum, i.e., index = 0). + n_steps: + Number of profile steps in each dimension. + + Returns + ------- + result: + The profile results are filled into `result.profile_result`. + """ + # Handling defaults + # profiling indices + if profile_index is None: + profile_index = np.ones(problem.dim_full) + profile_index[problem.x_fixed_indices] = 0 + + # create the profile result object (retrieve global optimum) or append to + # existing list of profiles + global_opt = initialize_profile(problem, result, result_index, + profile_index, profile_list) + + # extract optimization result + optimizer_result = result.optimize_result.list[result_index] + # extract values of interest + x = optimizer_result.x + fval = optimizer_result.fval + hess = problem.get_reduced_matrix(optimizer_result.hess) + + # ratio scaling factor + ratio_scaling = np.exp(global_opt - fval) + + # we need the hessian - compute if not provided or fishy + if hess is None or np.isnan(hess).any(): + logger.info("Computing Hessian/FIM as not available in result.") + hess = problem.objective( + problem.get_reduced_vector(x), sensi_orders=(2,)) + + # inverse of the hessian + sigma = np.linalg.inv(hess) + + # the steps + xs = np.linspace(problem.lb_full, problem.ub_full, n_steps).T + + # loop over parameters for profiling + for i_par in range(0, problem.dim_full): + # not requested or fixed -> compute no profile + if i_par in problem.x_fixed_indices or profile_index[i_par] == 0: + continue + + i_free_par = problem.full_index_to_free_index(i_par) + + ys = multivariate_normal.pdf(xs[i_par], mean=x[i_par], + cov=sigma[i_free_par, i_free_par]) + + fvals = - np.log(ys) + ratios = ys / ys.max() * ratio_scaling + + profiler_result = ProfilerResult( + x_path=xs, + fval_path=fvals, + ratio_path=ratios + ) + + result.profile_result.set_profiler_result( + profiler_result=profiler_result, + i_par=i_par, profile_list=profile_list) + + return result diff --git a/pypesto/profile/options.py b/pypesto/profile/options.py new file mode 100644 index 000000000..0a2d608f2 --- /dev/null +++ b/pypesto/profile/options.py @@ -0,0 +1,85 @@ +from typing import Dict, Union + + +class ProfileOptions(dict): + """ + Options for optimization based profiling. + + Parameters + ---------- + default_step_size: + Default step size of the profiling routine along the profile path + (adaptive step lengths algorithms will only use this as a first guess + and then refine the update). + min_step_size: + Lower bound for the step size in adaptive methods. + max_step_size: + Upper bound for the step size in adaptive methods. + step_size_factor: + Adaptive methods recompute the likelihood at the predicted point and + try to find a good step length by a sort of line search algorithm. + This factor controls step handling in this line search. + delta_ratio_max: + Maximum allowed drop of the posterior ratio between two profile steps. + ratio_min: + Lower bound for likelihood ratio of the profile, based on inverse + chi2-distribution. + The default 0.145 is slightly lower than the 95% quantile 0.1465 of a + chi2 distribution with one degree of freedom. + reg_points: + Number of profile points used for regression in regression based + adaptive profile points proposal. + reg_order: + Maximum degree of regression polynomial used in regression based + adaptive profile points proposal. + magic_factor_obj_value: + There is this magic factor in the old profiling code which slows down + profiling at small ratios (must be >= 0 and < 1). + """ + + def __init__(self, + default_step_size: float = 0.01, + min_step_size: float = 0.001, + max_step_size: float = 1., + step_size_factor: float = 1.25, + delta_ratio_max: float = 0.1, + ratio_min: float = 0.145, + reg_points: int = 10, + reg_order: int = 4, + magic_factor_obj_value: float = 0.5): + super().__init__() + + self.default_step_size = default_step_size + self.min_step_size = min_step_size + self.max_step_size = max_step_size + self.ratio_min = ratio_min + self.step_size_factor = step_size_factor + self.delta_ratio_max = delta_ratio_max + self.reg_points = reg_points + self.reg_order = reg_order + self.magic_factor_obj_value = magic_factor_obj_value + + def __getattr__(self, key): + try: + return self[key] + except KeyError: + raise AttributeError(key) + + __setattr__ = dict.__setitem__ + __delattr__ = dict.__delitem__ + + @staticmethod + def create_instance( + maybe_options: Union['ProfileOptions', Dict] + ) -> 'ProfileOptions': + """ + Returns a valid options object. + + Parameters + ---------- + maybe_options: ProfileOptions or dict + """ + if isinstance(maybe_options, ProfileOptions): + return maybe_options + options = ProfileOptions(**maybe_options) + return options diff --git a/pypesto/profile/profile.py b/pypesto/profile/profile.py index bb6876294..fdb5b1197 100644 --- a/pypesto/profile/profile.py +++ b/pypesto/profile/profile.py @@ -1,99 +1,19 @@ import logging import numpy as np -from typing import Callable, Dict, Union +from typing import Callable, Union +from ..objective.constants import GRAD from ..optimize import Optimizer from ..problem import Problem from ..result import Result from .result import ProfilerResult from .profile_next_guess import next_guess +from .options import ProfileOptions +from .util import initialize_profile logger = logging.getLogger(__name__) -class ProfileOptions(dict): - """ - Options for optimization based profiling. - - Parameters - ---------- - default_step_size: - default step size of the profiling routine along the profile path - (adaptive step lengths algorithms will only use this as a first guess - and then refine the update) - min_step_size: - lower bound for the step size in adaptive methods - max_step_size: - upper bound for the step size in adaptive methods - step_size_factor: - Adaptive methods recompute the likelihood at the predicted point and - try to find a good step length by a sort of line search algorithm. - This factor controls step handling in this line search - delta_ratio_max: - maximum allowed drop of the posterior ratio between two profile steps - ratio_min: - lower bound for likelihood ratio of the profile, based on inverse - chi2-distribution. - The default corresponds to 95% confidence - reg_points: - number of profile points used for regression in regression based - adaptive profile points proposal - reg_order: - maximum degree of regression polynomial used in regression based - adaptive profile points proposal - magic_factor_obj_value: - There is this magic factor in the old profiling code which slows down - profiling at small ratios (must be >= 0 and < 1) - """ - - def __init__(self, - default_step_size: float = 0.01, - min_step_size: float = 0.001, - max_step_size: float = 1., - step_size_factor: float = 1.25, - delta_ratio_max: float = 0.1, - ratio_min: float = 0.145, - reg_points: int = 10, - reg_order: int = 4, - magic_factor_obj_value: float = 0.5): - super().__init__() - - self.default_step_size = default_step_size - self.min_step_size = min_step_size - self.max_step_size = max_step_size - self.ratio_min = ratio_min - self.step_size_factor = step_size_factor - self.delta_ratio_max = delta_ratio_max - self.reg_points = reg_points - self.reg_order = reg_order - self.magic_factor_obj_value = magic_factor_obj_value - - def __getattr__(self, key): - try: - return self[key] - except KeyError: - raise AttributeError(key) - - __setattr__ = dict.__setitem__ - __delattr__ = dict.__delitem__ - - @staticmethod - def create_instance( - maybe_options: Union['ProfileOptions', Dict] - ) -> 'ProfileOptions': - """ - Returns a valid options object. - - Parameters - ---------- - maybe_options: ProfileOptions or dict - """ - if isinstance(maybe_options, ProfileOptions): - return maybe_options - options = ProfileOptions(**maybe_options) - return options - - def parameter_profile( problem: Problem, result: Result, @@ -101,7 +21,7 @@ def parameter_profile( profile_index: np.ndarray = None, profile_list: int = None, result_index: int = 0, - next_guess_method: Callable = None, + next_guess_method: Union[Callable, str] = 'adaptive_step_regression', profile_options: ProfileOptions = None ) -> Result: """ @@ -119,18 +39,18 @@ def parameter_profile( optimizer: The optimizer to be used along each profile. profile_index: - array with parameter indices, whether a profile should - be computed (1) or not (0) - Default is all profiles should be computed + Array with parameter indices, whether a profile should + be computed (1) or not (0). + Default is all profiles should be computed. profile_list: - integer which specifies whether a call to the profiler should create + Integer which specifies whether a call to the profiler should create a new list of profiles (default) or should be added to a specific - profile list + profile list. result_index: - index from which optimization result profiling should be started - (default: global optimum, i.e., index = 0) + Index from which optimization result profiling should be started + (default: global optimum, i.e., index = 0). next_guess_method: - function handle to a method that creates the next starting point for + Function handle to a method that creates the next starting point for optimization in profiling. profile_options: Various options applied to the profile optimization. @@ -140,49 +60,45 @@ def parameter_profile( result: The profile results are filled into `result.profile_result`. """ - # Handling defaults # profiling indices if profile_index is None: profile_index = np.ones(problem.dim_full) + profile_index[problem.x_fixed_indices] = 0 # check profiling options if profile_options is None: profile_options = ProfileOptions() profile_options = ProfileOptions.create_instance(profile_options) - # profile startpoint method - if next_guess_method is None: - next_guess_method = 'adaptive_step_regression' - # create a function handle that will be called later to get the next point if isinstance(next_guess_method, str): - def create_next_guess(x, par_index, par_direction, profile_options, - current_profile, problem, global_opt): - return next_guess(x, par_index, par_direction, profile_options, - next_guess_method, current_profile, problem, - global_opt) + def create_next_guess(x, par_index, par_direction_, profile_options_, + current_profile_, problem_, global_opt_): + return next_guess(x, par_index, par_direction_, profile_options_, + next_guess_method, current_profile_, problem_, + global_opt_) elif callable(next_guess_method): raise Exception('Passing function handles for computation of next ' 'profiling point is not yet supported.') else: raise Exception('Unsupported input for next_guess_method.') - # create the profile result object (retrieve global optimum) ar append to + # create the profile result object (retrieve global optimum) or append to # existing list of profiles global_opt = initialize_profile(problem, result, result_index, profile_index, profile_list) # loop over parameters for profiling - for i_parameter in range(0, problem.dim_full): - if (profile_index[i_parameter] == 0) or (i_parameter in - problem.x_fixed_indices): + for i_par in range(0, problem.dim_full): + if profile_index[i_par] == 0 or i_par in problem.x_fixed_indices: + # not requested or fixed -> compute no profile continue # create an instance of ProfilerResult, which will be appended to the # result object, when this profile is finished - current_profile = result.profile_result.get_current_profile( - i_parameter) + current_profile = result.profile_result.get_profiler_result( + i_par=i_par, profile_list=profile_list) # compute profile in descending and ascending direction for par_direction in [-1, 1]: @@ -190,59 +106,57 @@ def create_next_guess(x, par_index, par_direction, profile_options, current_profile.flip_profile() # compute the current profile - current_profile = walk_along_profile(current_profile, - problem, - par_direction, - optimizer, - profile_options, - create_next_guess, - global_opt, - i_parameter) - - # add current profile to result.profile_result - # result.profile_result.add_profile(current_profile, i_parameter) + current_profile = walk_along_profile( + current_profile=current_profile, + problem=problem, + par_direction=par_direction, + optimizer=optimizer, + options=profile_options, + create_next_guess=create_next_guess, + global_opt=global_opt, + i_par=i_par) - # return return result -def walk_along_profile(current_profile, - problem, - par_direction, - optimizer, - options, - create_next_guess, - global_opt, - i_parameter): +def walk_along_profile( + current_profile: ProfilerResult, + problem: Problem, + par_direction: int, + optimizer: Optimizer, + options: ProfileOptions, + create_next_guess: Callable, + global_opt: float, + i_par: int +) -> ProfilerResult: """ - This is function compute a half-profile + This function computes half a profile, by walking ahead in positive + direction until some stopping criterion is fulfilled. A two-sided profile + is obtained by flipping the profile direction. Parameters ---------- - - current_profile: pypesto.ProfilerResults + current_profile: The profile which should be computed - - problem: pypesto.Problem + problem: The problem to be solved. - - par_direction: integer + par_direction: Indicates profiling direction (+1, -1: ascending, descending) - - optimizer: pypesto.Optimizer + optimizer: The optimizer to be used along each profile. - - global_opt: float + global_opt: log-posterior value of the global optimum - - options: pypesto.ProfileOptions + options: Various options applied to the profile optimization. - - create_next_guess: callable + create_next_guess: Handle of the method which creates the next profile point proposal - - i_parameter: integer + i_par: index for the current parameter + + Returns + ------- + current_profile: + The current profile, modified in-place. """ # create variables which are needed during iteration @@ -255,189 +169,49 @@ def walk_along_profile(current_profile, # check if the next profile point needs to be computed if par_direction == -1: - stop_profile = (x_now[i_parameter] <= problem.lb_full[[ - i_parameter]]) or (current_profile.ratio_path[-1] < - options.ratio_min) + stop_profile = (x_now[i_par] <= problem.lb_full[[i_par]]) \ + or (current_profile.ratio_path[-1] < options.ratio_min) if par_direction == 1: - stop_profile = (x_now[i_parameter] >= problem.ub_full[[ - i_parameter]]) or (current_profile.ratio_path[-1] < - options.ratio_min) + stop_profile = (x_now[i_par] >= problem.ub_full[[i_par]]) \ + or (current_profile.ratio_path[-1] < options.ratio_min) if stop_profile: break # compute the new start point for optimization - x_next = create_next_guess(x_now, i_parameter, par_direction, + x_next = create_next_guess(x_now, i_par, par_direction, options, current_profile, problem, global_opt) # fix current profiling parameter to current value and set # start point - problem.fix_parameters(i_parameter, x_next[i_parameter]) + problem.fix_parameters(i_par, x_next[i_par]) startpoint = np.array([x_next[i] for i in problem.x_free_indices]) # run optimization # IMPORTANT: This optimization will need a proper exception # handling (coming soon) - optimizer_result = optimizer.minimize(problem, startpoint, '0') - if optimizer_result["grad"] is not None: - gradnorm = np.linalg.norm(optimizer_result["grad"][ + optimizer_result = optimizer.minimize(problem, startpoint, '0', + allow_failed_starts=False) + if optimizer_result[GRAD] is not None: + gradnorm = np.linalg.norm(optimizer_result[GRAD][ problem.x_free_indices]) else: gradnorm = None current_profile.append_profile_point( - optimizer_result.x, - optimizer_result.fval, - np.exp(global_opt - optimizer_result.fval), - gradnorm, - optimizer_result.exitflag, - optimizer_result.time, - optimizer_result.n_fval, - optimizer_result.n_grad, - optimizer_result.n_hess) + x=optimizer_result.x, + fval=optimizer_result.fval, + ratio=np.exp(global_opt - optimizer_result.fval), + gradnorm=gradnorm, + time=optimizer_result.time, + exitflag=optimizer_result.exitflag, + n_fval=optimizer_result.n_fval, + n_grad=optimizer_result.n_grad, + n_hess=optimizer_result.n_hess) # free the profiling parameter again - problem.unfix_parameters(i_parameter) + problem.unfix_parameters(i_par) return current_profile - - -def initialize_profile( - problem, - result, - result_index, - profile_index, - profile_list): - """ - This is function initializes profiling based on a previous optimization. - - Parameters - ---------- - - problem: pypesto.Problem - The problem to be solved. - - result: pypesto.Result - A result object to initialize profiling and to append the profiling - results to. For example, one might append more profiling runs to a - previous profile, in order to merge these. - The existence of an optimization result is obligatory. - - result_index: integer - index from which optimization result profiling should be started - - profile_index: ndarray of integers, optional - array with parameter indices, whether a profile should - be computed (1) or not (0) - Default is all profiles should be computed - - profile_list: integer, optional - integer which specifies whether a call to the profiler should create - a new list of profiles (default) or should be added to a specific - profile list - """ - - # Check, whether an optimization result is existing - if result.optimize_result is None: - logger.error( - "Optimization has to be carried before profiling can be done.") - return None - - tmp_optimize_result = result.optimize_result.as_list() - - # Check if new profile_list is to be created - if profile_list is None: - result.profile_result.create_new_profile_list() - - # get the log-posterior of the global optimum - global_opt = tmp_optimize_result[0]["fval"] - - # fill the list with optimization results where necessary - fill_profile_list(result.profile_result, - tmp_optimize_result[result_index], - profile_index, - profile_list, - problem.dim_full, - global_opt) - - # return the log-posterior of the global optimum (needed in order to - # compute the log-posterior-ratio) - return global_opt - - -def fill_profile_list( - profile_result, - optimize_result, - profile_index, - profile_list, - problem_dimension, - global_opt): - """ - This is a helper function for initialize_profile - - Parameters - ---------- - - problem: pypesto.Problem - The problem to be solved. - - profile_result: list of ProfilerResult objects - A list of profiler result objects - - profile_index: ndarray of integers, optional - array with parameter indices, whether a profile should - be computed (1) or not (0) - Default is all profiles should be computed - - profile_list: integer, optional - integer which specifies whether a call to the profiler should - create a new list of profiles (default) or should be added to a - specific profile list - - problem_dimension: integer - number of parameters in the unreduced problem - - global_opt: float - log-posterior at global optimum - """ - - if optimize_result["grad"] is not None: - gradnorm = np.linalg.norm(optimize_result["grad"]) - else: - gradnorm = None - - # create blanko profile - new_profile = ProfilerResult( - optimize_result["x"], - np.array([optimize_result["fval"]]), - np.array([np.exp(global_opt - optimize_result["fval"])]), - gradnorm, - optimize_result["exitflag"], - np.array([0.]), - np.array([0.]), - np.array([0]), - np.array([0]), - np.array([0]), - None) - - if profile_list is None: - # All profiles have to be created from scratch - for i_parameter in range(0, problem_dimension): - if profile_index[i_parameter] > 0: - # Should we create a profile for this index? - profile_result.create_new_profile(new_profile) - else: - # if no profile should be computed for this parameter - profile_result.create_new_profile() - - else: - for i_parameter in range(0, problem_dimension): - # We append to an existing list - if profile_index[i_parameter] > 0: - # Do we have to create a new profile? - create_new = (profile_result.list[profile_list][i_parameter] is - None) and (profile_index[i_parameter] > 0) - if create_new: - profile_result.add_profile(new_profile, i_parameter) diff --git a/pypesto/profile/profile_next_guess.py b/pypesto/profile/profile_next_guess.py index 425086985..b3e152c5e 100644 --- a/pypesto/profile/profile_next_guess.py +++ b/pypesto/profile/profile_next_guess.py @@ -1,46 +1,50 @@ import numpy as np import copy +from typing import Callable, List, Tuple, Union +from ..problem import Problem +from .options import ProfileOptions +from .result import ProfilerResult -def next_guess(x, - par_index, - par_direction, - profile_options, - update_type, - current_profile, - problem, - global_opt): + +def next_guess( + x: np.ndarray, + par_index: int, + par_direction: int, + profile_options: ProfileOptions, + update_type: str, + current_profile: ProfilerResult, + problem: Problem, + global_opt: float +) -> np.ndarray: """ - This function creates the next inital guess for the optimizer in + This function creates the next initial guess for the optimizer in order to compute the next profile point. Different proposal methods are available. Parameters ---------- - - x: numpy.ndarray - The current position of the profiler - - par_index: int - The index of the parameter of the current profile - - par_direction: int - The direction, in which the profiling is done (1 or -1) - - profile_options: pypesto.ProfileOptions, optional + x: + The current position of the profiler. + par_index: + The index of the parameter of the current profile. + par_direction: + The direction, in which the profiling is done (1 or -1). + profile_options: Various options applied to the profile optimization. - - update_type: str - type of update for next profile point - - current_profile: pypesto.ProfilerResults - The profile which should be computed - - problem: pypesto.Problem + update_type: + Type of update for next profile point. + current_profile: + The profile which should be computed. + problem: The problem to be solved. + global_opt: + Log-posterior value of the global optimum. - global_opt: float - log-posterior value of the global optimum + Returns + ------- + next_guess: + The next initial guess as base for the next profile point. """ if update_type == 'fixed_step': @@ -60,33 +64,34 @@ def next_guess(x, current_profile, problem, global_opt, order) -def fixed_step(x, - par_index, - par_direction, - options, - problem): +def fixed_step( + x: np.ndarray, + par_index: int, + par_direction: int, + options: ProfileOptions, + problem: Problem +) -> np.ndarray: """ - Most simple method to create the next guess. + Most simple method to create the next guess. - Parameters - ---------- - - x: ndarray - The current position of the profiler - - par_index: int - The index of the parameter of the current profile - - par_direction: int - The direction, in which the profiling is done (1 or -1) - - options: pypesto.ProfileOptions, optional - Various options applied to the profile optimization. - - problem: pypesto.Problem - The problem to be solved. - """ + Parameters + ---------- + x: + The current position of the profiler, size `dim_full`. + par_index: + The index of the parameter of the current profile + par_direction: + The direction, in which the profiling is done (1 or -1) + options: + Various options applied to the profile optimization. + problem: + The problem to be solved. + Returns + ------- + x_new: + The updated parameter vector, of size `dim_full`. + """ delta_x = np.zeros(len(x)) delta_x[par_index] = par_direction * options.default_step_size @@ -101,67 +106,70 @@ def fixed_step(x, return x + delta_x -def adaptive_step(x, par_index, par_direction, options, current_profile, - problem, global_opt, order=1): +def adaptive_step( + x: np.ndarray, + par_index: int, + par_direction: int, + options: ProfileOptions, + current_profile: ProfilerResult, + problem: Problem, + global_opt: float, + order: int = 1 +) -> np.ndarray: """ - group of more complex methods for point proposal, step size is - automatically computed by a line search algorithm (hence: adaptive) - - Parameters - ---------- - - x: ndarray - The current position of the profiler - - par_index: int - The index of the parameter of the current profile - - par_direction: int - The direction, in which the profiling is done (1 or -1) - - options: pypesto.ProfileOptions - Various options applied to the profile optimization. - - current_profile: pypesto.ProfilerResults - The profile which should be computed - - problem: pypesto.Problem - The problem to be solved. - - global_opt: float - log-posterior value of the global optimum - - order: int - specifies the precise algorithm for extrapolation: can be 0 ( - just one parameter is updated), 1 (last two points used to - extrapolate all parameters), and np.nan (indicates that a more - complex regression should be used) - """ + group of more complex methods for point proposal, step size is + automatically computed by a line search algorithm (hence: adaptive) + Parameters + ---------- + x: + The current position of the profiler, size `dim_full`. + par_index: + The index of the parameter of the current profile + par_direction: + The direction, in which the profiling is done (1 or -1) + options: + Various options applied to the profile optimization. + current_profile: + The profile which should be computed + problem: + The problem to be solved. + global_opt: + log-posterior value of the global optimum + order: + Specifies the precise algorithm for extrapolation: can be 0 ( + just one parameter is updated), 1 (last two points used to + extrapolate all parameters), and np.nan (indicates that a more + complex regression should be used) + + Returns + ------- + x_new: + The updated parameter vector, of size `dim_full`. + """ # restrict step proposal to minimum and maximum step size def clip_to_minmax(step_size_proposal): - return clip_vector(step_size_proposal, options.min_step_size, - options.max_step_size) + return clip(step_size_proposal, options.min_step_size, + options.max_step_size) # restrict step proposal to bounds def clip_to_bounds(step_proposal): - return clip_vector(step_proposal, problem.lb_full, problem.ub_full) + return clip(step_proposal, problem.lb_full, problem.ub_full) # check if this is the first step n_profile_points = len(current_profile.fval_path) - pos_ind_red = len([ip for ip in problem.x_free_indices if ip < par_index]) problem.fix_parameters(par_index, x[par_index]) # Get update directions and first step size guesses (step_size_guess, delta_x_dir, reg_par, delta_obj_value) = \ handle_profile_history(x, par_index, par_direction, n_profile_points, - pos_ind_red, global_opt, order, + global_opt, order, current_profile, problem, options) # check whether we must make a minimum step anyway, since we're close to # the next bound min_delta_x = x[par_index] + par_direction * options.min_step_size - if par_direction is -1: + if par_direction == -1: if min_delta_x < problem.lb_full[par_index]: step_length = problem.lb_full[par_index] - x[par_index] return x + step_length * delta_x_dir @@ -176,12 +184,15 @@ def par_extrapol(step_length): if np.isnan(order) and n_profile_points > 2: x_step_tmp = [] # loop over parameters, extrapolate each one - for i_par in range(len(problem.x_free_indices) + 1): - if i_par == pos_ind_red: + for i_par in range(problem.dim_full): + if i_par == par_index: # if we meet the profiling parameter, just increase, # don't extrapolate x_step_tmp.append(x[par_index] + step_length * par_direction) + elif i_par in problem.x_fixed_indices: + # common fixed parameter: will be ignored anyway later + x_step_tmp.append(np.nan) else: # extrapolate cur_par_extrapol = np.poly1d(reg_par[i_par]) @@ -206,7 +217,7 @@ def par_extrapol(step_length): # compute objective at the guessed point problem.fix_parameters(par_index, next_x[par_index]) - next_obj = problem.objective(reduce_x(next_x, par_index)) + next_obj = problem.objective(problem.get_reduced_vector(next_x)) # iterate until good step size is found if next_obj_target < next_obj: @@ -224,13 +235,21 @@ def par_extrapol(step_length): problem, options) -def handle_profile_history(x, par_index, par_direction, n_profile_points, - pos_ind_red, global_opt, order, current_profile, - problem, options): +def handle_profile_history( + x: np.ndarray, + par_index: int, + par_direction: int, + n_profile_points: int, + global_opt: float, + order: int, + current_profile: ProfilerResult, + problem: Problem, + options: ProfileOptions +) -> Tuple: """ - Computes the very first step direction update guesses, check whether - enough step have been taken for applying regression, computes - regression or simple extrapolation + Computes the very first step direction update guesses, check whether + enough steps have been taken for applying regression, computes + regression or simple extrapolation. """ # set the update direction @@ -260,18 +279,23 @@ def handle_profile_history(x, par_index, par_direction, n_profile_points, elif np.isnan(order): # compute the regression polynomial for parameter extrapolation - reg_par = get_reg_polynomial(n_profile_points, pos_ind_red, + reg_par = get_reg_polynomial(n_profile_points, par_index, current_profile, problem, options) return step_size_guess, delta_x_dir, reg_par, delta_obj_value -def get_reg_polynomial(n_profile_points, pos_ind_red, par_index, - current_profile, problem, options): +def get_reg_polynomial( + n_profile_points: int, + par_index: int, + current_profile: ProfilerResult, + problem: Problem, + options: ProfileOptions +) -> List[float]: """ - Computes the regression polynomial which is used to step proposal - extrapolation from the last profile points + Computes the regression polynomial which is used to step proposal + extrapolation from the last profile points """ # determine interpolation order @@ -281,10 +305,10 @@ def get_reg_polynomial(n_profile_points, pos_ind_red, par_index, # set up matrix of regression parameters reg_par = [] - for i_par in range(len(problem.x_free_indices) + 1): - if i_par == pos_ind_red: - # if we meet the current profiling parameter, there is nothing - # to do, so pass an np.nan + for i_par in range(problem.dim_full): + if i_par in problem.x_fixed_indices: + # if we meet the current profiling parameter or a fixed parameter, + # there is nothing to do, so pass an np.nan reg_par.append(np.nan) else: # Do polynomial interpolation of profile path @@ -300,7 +324,7 @@ def get_reg_polynomial(n_profile_points, pos_ind_red, par_index, regression_tmp = np.polyfit( current_profile.x_path[par_index, -reg_points:-1], current_profile.x_path[i_par, -reg_points:-1], - reg_order.astype(int), full=True) + int(reg_order), full=True) # add to regression parameters reg_par.append(regression_tmp[0]) @@ -308,16 +332,25 @@ def get_reg_polynomial(n_profile_points, pos_ind_red, par_index, return reg_par -def do_line_seach(next_x, step_size_guess, direction, par_extrapol, next_obj, - next_obj_target, clip_to_minmax, clip_to_bounds, - par_index, problem, options): +def do_line_seach( + next_x: np.ndarray, + step_size_guess: float, + direction: str, + par_extrapol: Callable, + next_obj: float, + next_obj_target: float, + clip_to_minmax: Callable, + clip_to_bounds: Callable, + par_index: int, + problem: Problem, + options: ProfileOptions +) -> np.ndarray: """ - Performs the line search based on the objective function we want to - reach, based on the current position in parameter space and on the - first guess for the proposal + Performs the line search based on the objective function we want to + reach, based on the current position in parameter space and on the + first guess for the proposal. """ - - # Was the inital step too big or too small? + # Was the initial step too big or too small? if direction == 'increase': adapt_factor = options.step_size_factor else: @@ -333,9 +366,9 @@ def do_line_seach(next_x, step_size_guess, direction, par_extrapol, next_obj, # Check if we hit the bounds hit_bounds = (direction == 'decrease' and step_size_guess == - options.min_step_size) or (direction == 'increase' and - step_size_guess == - options.max_step_size) + options.min_step_size) or ( + direction == 'increase' and step_size_guess == + options.max_step_size) if hit_bounds: return next_x @@ -343,7 +376,7 @@ def do_line_seach(next_x, step_size_guess, direction, par_extrapol, next_obj, # compute new objective value problem.fix_parameters(par_index, next_x[par_index]) last_obj = copy.copy(next_obj) - next_obj = problem.objective(reduce_x(next_x, par_index)) + next_obj = problem.objective(problem.get_reduced_vector(next_x)) # check for root crossing and compute correct step size in case if direction == 'decrease' and next_obj_target >= next_obj: @@ -354,9 +387,15 @@ def do_line_seach(next_x, step_size_guess, direction, par_extrapol, next_obj, last_x, next_obj_target) -def next_x_interpolate(next_obj, last_obj, next_x, last_x, next_obj_target): +def next_x_interpolate( + next_obj: float, + last_obj: float, + next_x: np.ndarray, + last_x: np.ndarray, + next_obj_target: float +) -> np.ndarray: """ - interpolate between the last two steps + Interpolate between the last two steps- """ delta_obj = np.abs(next_obj - last_obj) add_x = np.abs(last_obj - next_obj_target) * ( @@ -366,18 +405,13 @@ def next_x_interpolate(next_obj, last_obj, next_x, last_x, next_obj_target): return last_x + add_x -def reduce_x(next_x, par_index): - """ - reduce step proposal to non-fixed parameters - """ - red_ind = list(range(len(next_x))) - red_ind.pop(par_index) - return np.array([next_x[ip] for ip in red_ind]) - - -def clip_vector(vector_guess, lower, upper): +def clip( + vector_guess: Union[float, np.ndarray], + lower: Union[float, np.ndarray], + upper: Union[float, np.ndarray] +) -> Union[float, np.ndarray]: """ - restrict a scalar or a vector to given bounds + Restrict a scalar or a vector to given bounds. """ if isinstance(vector_guess, float): vector_guess = np.max([np.min([vector_guess, upper]), lower]) diff --git a/pypesto/profile/result.py b/pypesto/profile/result.py index cae70f38d..cda964ed2 100644 --- a/pypesto/profile/result.py +++ b/pypesto/profile/result.py @@ -11,39 +11,28 @@ class ProfilerResult(dict): Attributes ---------- - - x_path: ndarray + x_path: The path of the best found parameters along the profile (Dimension: n_par x n_profile_points) - - fval_path: ndarray + fval_path: The function values, fun(x), along the profile. - - ratio_path: ndarray + ratio_path: The ratio of the posterior function along the profile. - - gradnorm_path: ndarray + gradnorm_path: The gradient norm along the profile. - - exitflag_path: ndarray + exitflag_path: The exitflags of the optimizer along the profile. - - time_path: ndarray + time_path: The computation time of the optimizer runs along the profile. - - time_total: ndarray + time_total: The total computation time for the profile. - - n_fval: int + n_fval: Number of function evaluations. - - n_grad: int + n_grad: Number of gradient evaluations. - - n_hess: int + n_hess: Number of Hessian evaluations. - - message: str + message: Textual comment on the profile result. Notes @@ -54,17 +43,17 @@ class ProfilerResult(dict): """ def __init__(self, - x_path, - fval_path, - ratio_path, - gradnorm_path=None, - exitflag_path=None, - time_path=None, - time_total=0., - n_fval=0, - n_grad=0, - n_hess=0, - message=None): + x_path: np.ndarray, + fval_path: np.ndarray, + ratio_path: np.ndarray, + gradnorm_path: np.ndarray = None, + exitflag_path: np.ndarray = None, + time_path: np.ndarray = None, + time_total: float = 0., + n_fval: int = 0, + n_grad: int = 0, + n_hess: int = 0, + message: str = None): super().__init__() # initialize profile path @@ -76,12 +65,12 @@ def __init__(self, self.x_path = np.zeros((x_shape[0], x_shape[1])) self.x_path[:, :] = x_path[:, :] - self.fval_path = np.array(fval_path) - self.ratio_path = np.array(ratio_path) - self.gradnorm_path = np.array(gradnorm_path) \ + self.fval_path = np.asarray(fval_path) + self.ratio_path = np.asarray(ratio_path) + self.gradnorm_path = np.asarray(gradnorm_path) \ if gradnorm_path is not None else None - self.exitflag_path = np.array(exitflag_path) - self.time_path = np.array(time_path) + self.exitflag_path = np.asarray(exitflag_path) + self.time_path = np.asarray(time_path) self.time_total = time_total self.n_fval = n_fval self.n_grad = n_grad @@ -98,18 +87,40 @@ def __getattr__(self, key): __delattr__ = dict.__delitem__ def append_profile_point(self, - x, - fval, - ratio, - gradnorm=np.nan, - exitflag=np.nan, - time=np.nan, - n_fval=0, - n_grad=0, - n_hess=0): + x: np.ndarray, + fval: float, + ratio: float, + gradnorm: float = np.nan, + time: float = np.nan, + exitflag: float = np.nan, + n_fval: int = 0, + n_grad: int = 0, + n_hess: int = 0) -> None: """ - This function appends a new OptimizerResult to an existing - ProfilerResults + This function appends a new point to the profile path. + + Parameters + ---------- + x: + The parameter values. + fval: + The function value at `x`. + ratio: + The ratio of the function value at `x` by the optimal function + value. + gradnorm: + The gradient norm at `x`. + time: + The computation time to find `x`. + exitflag: + The exitflag of the optimizer (useful if an optimization was + performed to find `x`). + n_fval: + Number of function evaluations performed to find `x`. + n_grad: + Number of gradient evaluations performed to find `x`. + n_hess: + Number of Hessian evaluations performed to find `x`. """ # short function to append to numpy vectors @@ -138,11 +149,13 @@ def append_to_vector(field_name, val): self.n_grad += n_grad self.n_hess += n_hess - def flip_profile(self): + def flip_profile(self) -> None: """ This function flips the profiling direction (left-right) - Profiling direction needs to be changed once (if the profile is new) - and twice, if we append to an existing profile + Profiling direction needs to be changed once (if the profile is new), + or twice if we append to an existing profile. + + All profiling paths are flipped in-place. """ self.x_path = np.fliplr(self.x_path) diff --git a/pypesto/profile/util.py b/pypesto/profile/util.py new file mode 100644 index 000000000..375dee8d9 --- /dev/null +++ b/pypesto/profile/util.py @@ -0,0 +1,211 @@ +import numpy as np +import scipy.stats +from typing import Any, Dict, Tuple + +from ..objective.constants import GRAD +from ..problem import Problem +from ..result import Result, ProfileResult +from .result import ProfilerResult + + +def chi2_quantile_to_ratio(alpha: float = 0.95, df: int = 1): + """ + Transform lower tail probability `alpha` for a chi2 distribution with `df` + degrees of freedom to a profile likelihood ratio threshold. + + Parameters + ---------- + alpha: + Lower tail probability, defaults to 95% interval. + df: + Degrees of freedom. Defaults to 1. + + Returns + ------- + ratio: + Corresponds to a likelihood ratio. + """ + quantile = scipy.stats.chi2.ppf(alpha, df=df) + ratio = np.exp(-quantile / 2) + return ratio + + +def calculate_approximate_ci( + xs: np.ndarray, ratios: np.ndarray, confidence_ratio: float +) -> Tuple[float, float]: + """ + Calculate approximate confidence interval based on profile. Interval + bounds are linerly interpolated. + + Parameters + ---------- + xs: + The ordered parameter values along the profile for the coordinate of + interest. + ratios: + The likelihood ratios corresponding to the parameter values. + confidence_ratio: + Minimum confidence ratio to base the confidence interval upon, as + obtained via `pypesto.profile.chi2_quantile_to_ratio`. + + Returns + ------- + lb, ub: + Bounds of the approximate confidence interval. + """ + # extract indices where the ratio is larger than the minimum ratio + indices, = np.where(ratios >= confidence_ratio) + l_ind, u_ind = indices[0], indices[-1] + + # lower bound + if l_ind == 0: + lb = xs[l_ind] + else: + # linear interpolation with next smaller value + ind = [l_ind - 1, l_ind] + lb = np.interp(confidence_ratio, ratios[ind], xs[ind]) + + # upper bound + if u_ind == len(ratios) - 1: + ub = xs[u_ind] + else: + # linear interpolation with next larger value + ind = [u_ind + 1, u_ind] # flipped as interp expects increasing xs + ub = np.interp(confidence_ratio, ratios[ind], xs[ind]) + + return lb, ub + + +def initialize_profile( + problem: Problem, + result: Result, + result_index: int, + profile_index: np.ndarray, + profile_list: int +) -> float: + """ + This function initializes profiling based on a previous optimization. + + Parameters + ---------- + problem: + The problem to be solved. + result: + A result object to initialize profiling and to append the profiling + results to. For example, one might append more profiling runs to a + previous profile, in order to merge these. + The existence of an optimization result is obligatory. + result_index: + index from which optimization result profiling should be started + profile_index: + array with parameter indices, whether a profile should + be computed (1) or not (0) + Default is all profiles should be computed + profile_list: + integer which specifies whether a call to the profiler should create + a new list of profiles (default) or should be added to a specific + profile list + + Returns + ------- + global_opt: + log-posterior at global optimum. + """ + # Check whether an optimization result is existing + if result.optimize_result is None: + raise ValueError( + "Optimization has to be carried out before profiling can be done.") + + tmp_optimize_result = result.optimize_result.as_list() + + # Check if new profile_list is to be created + if profile_list is None: + result.profile_result.append_empty_profile_list() + + # get the log-posterior of the global optimum + global_opt = tmp_optimize_result[0]["fval"] + + # fill the list with optimization results where necessary + fill_profile_list( + profile_result=result.profile_result, + optimizer_result=tmp_optimize_result[result_index], + profile_index=profile_index, + profile_list=profile_list, + problem_dimension=problem.dim_full, + global_opt=global_opt) + + # return the log-posterior of the global optimum (needed in order to + # compute the log-posterior-ratio) + return global_opt + + +def fill_profile_list( + profile_result: ProfileResult, + optimizer_result: Dict[str, Any], + profile_index: np.ndarray, + profile_list: int, + problem_dimension: int, + global_opt: float +) -> None: + """ + This is a helper function for initialize_profile + + Parameters + ---------- + profile_result: + A list of profiler result objects. + optimizer_result: + A local optimization result. + profile_index: + array with parameter indices, whether a profile should + be computed (1) or not (0). + Default is all profiles should be computed. + profile_list: + integer which specifies whether a call to the profiler should + create a new list of profiles (default) or should be added to a + specific profile list. + problem_dimension: + number of parameters in the unreduced problem. + global_opt: + log-posterior at global optimum. + """ + + if optimizer_result[GRAD] is not None: + gradnorm = np.linalg.norm(optimizer_result[GRAD]) + else: + gradnorm = None + + # create blank profile + new_profile = ProfilerResult( + x_path=optimizer_result["x"], + fval_path=np.array([optimizer_result["fval"]]), + ratio_path=np.array([np.exp(global_opt - optimizer_result["fval"])]), + gradnorm_path=gradnorm, + exitflag_path=optimizer_result["exitflag"], + time_path=np.array([0.]), + time_total=0., + n_fval=0, + n_grad=0, + n_hess=0, + message=None) + + if profile_list is None: + # All profiles have to be created from scratch + for i_parameter in range(0, problem_dimension): + if profile_index[i_parameter] > 0: + # Should we create a profile for this index? + profile_result.append_profiler_result(new_profile) + else: + # if no profile should be computed for this parameter + profile_result.append_profiler_result(None) + + else: + for i_parameter in range(0, problem_dimension): + # We append to an existing list + if profile_index[i_parameter] > 0: + # Do we have to create a new profile? + create_new = (profile_result.list[profile_list][i_parameter] + is None) and (profile_index[i_parameter] > 0) + if create_new: + profile_result.set_profiler_result( + new_profile, i_parameter) diff --git a/pypesto/result.py b/pypesto/result.py index 11f50e45b..6c569b7a9 100644 --- a/pypesto/result.py +++ b/pypesto/result.py @@ -31,7 +31,6 @@ def append( Parameters ---------- - optimizer_result: The result of one (local) optimizer run. """ @@ -86,69 +85,83 @@ def get_for_key(self, key) -> list: class ProfileResult: """ Result of the profile() function. + + It holds a list of profile lists. Each profile list consists of a list of + `ProfilerResult` objects, one for each parameter. """ def __init__(self): self.list = [] - def create_new_profile_list(self): - """ - Append an profiler result to the result object. + def append_empty_profile_list(self) -> int: + """Append an empty profile list to the list of profile lists. - Parameters - ---------- + Returns + ------- + index: + The index of the created profile list. """ self.list.append([]) + return len(self.list) - 1 - def create_new_profile( + def append_profiler_result( self, - profiler_result: 'pypesto.ProfilerResult' = None - ): - """ - Append an profiler result to the result object. + profiler_result: 'pypesto.ProfilerResult' = None, + profile_list: int = None) -> None: + """Append the profiler result to the profile list. Parameters ---------- profiler_result: - The result of one (local) profiler run or None, if to be left empty - - profile_list: integer - index specifying the list of profiles, to which we want to append - """ - - current_profile = len(self.list) - new_profile = copy.deepcopy(profiler_result) - self.list[current_profile - 1].append(new_profile) - - def add_profile(self, profiler_result, i_parameter): - """ - Writes a profiler result to the result object at i_parameter. + The result of one profiler run for a parameter, or None if to be + left empty. + profile_list: + Index specifying the profile list to which we want to append. + Defaults to the last list. + """ + if profile_list is None: + profile_list = -1 # last + profiler_result = copy.deepcopy(profiler_result) + self.list[profile_list].append(profiler_result) + + def set_profiler_result( + self, + profiler_result: 'pypesto.ProfilerResult', + i_par: int, + profile_list: int = None) -> None: + """Write a profiler result to the result object at `i_par` of profile + list `profile_list`. Parameters ---------- profiler_result: The result of one (local) profiler run. - - i_parameter: - integer specifying the parameter index + i_par: + Integer specifying the parameter index. + profile_list: + Index specifying the profile list. Defaults to the last list. """ + if profile_list is None: + profile_list = -1 # last + self.list[profile_list][i_par] = copy.deepcopy(profiler_result) - current_profile = len(self.list) - self.list[current_profile - 1][i_parameter] = \ - copy.deepcopy(profiler_result) - - def get_current_profile(self, i_parameter): + def get_profiler_result( + self, i_par: int, profile_list: int = None + ) -> 'pypesto.ProfilerResult': """ - Append an profiler result to the result object. + Get theprofiler result at parameter index `i_par` of profile list + `profile_list`. Parameters ---------- - i_parameter: - integer specifying the profile index - """ - - current_profile = len(self.list) - return self.list[current_profile - 1][i_parameter] + i_par: + Integer specifying the profile index. + profile_list: + Index specifying the profile list. Defaults to the last list. + """ + if profile_list is None: + profile_list = -1 # last + return self.list[profile_list][i_par] class SampleResult: diff --git a/pypesto/sampling/__init__.py b/pypesto/sampling/__init__.py index 7d8f65bea..71bbbaef2 100644 --- a/pypesto/sampling/__init__.py +++ b/pypesto/sampling/__init__.py @@ -11,4 +11,6 @@ from .adaptive_metropolis import AdaptiveMetropolisSampler from .parallel_tempering import ParallelTemperingSampler from .adaptive_parallel_tempering import AdaptiveParallelTemperingSampler +from .pymc3 import Pymc3Sampler from .result import McmcPtResult +from .diagnostics import geweke_test diff --git a/pypesto/sampling/adaptive_metropolis.py b/pypesto/sampling/adaptive_metropolis.py index 70d9961e3..3cd154a92 100644 --- a/pypesto/sampling/adaptive_metropolis.py +++ b/pypesto/sampling/adaptive_metropolis.py @@ -38,6 +38,8 @@ def default_options(cls): 'cov0': None, # target acceptance rate 'target_acceptance_rate': 0.234, + # show progress + 'show_progress': True, } def initialize(self, problem: Problem, x0: np.ndarray): @@ -58,7 +60,7 @@ def _propose_parameter(self, x: np.ndarray): x_new = np.random.multivariate_normal(x, self._cov) return x_new - def _update_proposal(self, x: np.ndarray, llh: float, log_p_acc: float, + def _update_proposal(self, x: np.ndarray, lpost: float, log_p_acc: float, n_sample_cur: int): # parse options decay_constant = self.options['decay_constant'] diff --git a/pypesto/sampling/diagnostics.py b/pypesto/sampling/diagnostics.py new file mode 100644 index 000000000..094331b32 --- /dev/null +++ b/pypesto/sampling/diagnostics.py @@ -0,0 +1,41 @@ +import numpy as np +import logging + +from ..result import Result +from .geweke_test import burn_in_by_sequential_geweke + +logger = logging.getLogger(__name__) + + +def geweke_test(result: Result, zscore: float = 2.) -> int: + """ + Calculates the burn-in of MCMC chains. + + Parameters + ---------- + result: + The pyPESTO result object with filled sample result. + zscore: + The Geweke test threshold. Default 2. + + Returns + ------- + burn_in: + Iteration where the first and the last fraction of the chain + do not differ significantly regarding Geweke test -> Burn-In + + """ + # Get parameter samples as numpy arrays + chain = np.array(result.sample_result.trace_x[0]) + + # Calculate burn in index + burn_in = burn_in_by_sequential_geweke(chain=chain, + zscore=zscore) + + # Log + logger.info(f'Geweke burn-in index: {burn_in}') + + # Fill in burn-in value into result + result.sample_result.burn_in = burn_in + + return burn_in diff --git a/pypesto/sampling/geweke_test.py b/pypesto/sampling/geweke_test.py new file mode 100644 index 000000000..1c61554f4 --- /dev/null +++ b/pypesto/sampling/geweke_test.py @@ -0,0 +1,216 @@ +import logging +import warnings +from typing import Tuple +import numpy as np +from scipy.stats import norm + +logger = logging.getLogger(__name__) + + +def spectrum(x: np.array, + nfft: int = None, + nw: int = None) -> np.ndarray: + """ + Power spectral density using Hanning window. + + Parameters + ---------- + x: + Fraction/fragment of one single parameter + of the MCMC chain. + nfft: + The n-point discrete Fourier Transform. + nw: + Number of windows. + + Returns + ------- + spectral_density: + The spectral density. + """ + + if nfft is None: + nfft = np.min(len(x), 256) + + if nw is None: + nw = np.floor(nfft / 4).astype(int) + + n_overlap = np.floor(nw / 2).astype(int) + + # Hanning window + w = .5 * (1 - np.cos( + 2 * np.pi * np.transpose(np.arange(1, nw+1)) / + (nw + 1))) + n = len(x) + if n < nw: + x[nw] = 0 + n = nw + + # Number of windows + k = np.floor((n - n_overlap) / (nw - n_overlap)).astype(int) + index = np.arange(nw) + # Normalizing scale factor + kmu = k * np.linalg.norm(w) ** 2 + spectral_density = np.zeros((nfft)) + + for _ in range(k): + xw = w * x[index] + index += (nw - n_overlap) + Xx = np.absolute(np.fft.fft(xw, n=nfft, axis=0)) ** 2 + spectral_density += Xx + + # Normalize + spectral_density = spectral_density * (1 / kmu) + + n2 = np.floor(nfft / 2).astype(int) + + spectral_density = spectral_density[0:n2] + + return spectral_density + + +def spectrum0(x: np.array) -> np.ndarray: + """ + Calculates the spectral density at frequency zero. + + Parameters + ---------- + x: + Fraction/fragment of the MCMC chain. + + Returns + ------- + spectral_density_zero: + Spectral density at zero. + """ + + n_samples, n_par = x.shape + spectral_density_zero = np.zeros((1, n_par)) + + for i in range(n_par): + _spectral_density_zero = spectrum(x[:, i], n_samples) + if len(_spectral_density_zero) > 0: + spectral_density_zero[:, i] = _spectral_density_zero[0] + return spectral_density_zero + + +def calculate_zscore(chain: np.array, + a: float = 0.1, + b: float = 0.5) -> Tuple[float, float]: + """ + Performs a Geweke test on a chain using the first + "a" fraction and the last "b" fraction of it for + comparison. Test for equality of the means of the + first a% and last b% of a Markov chain. + + See: + Stephen P. Brooks and Gareth O. Roberts. + Assessing convergence of Markov chain Monte Carlo + algorithms. Statistics and Computing, 8:319--335, 1998. + + Parameters + ---------- + chain + a: + First fraction of the MCMC chain. Default 10%. + b: + Second fraction of the MCMC chain. Default 50%. + + Returns + ------- + z_score: + Z-score of the Geweke test. + p: + Significance level of the Geweke test. + """ + + nsimu, _ = chain.shape + + # Define First fraction + index_a = np.floor(a * nsimu).astype(int) + # Define Second fraction + index_b = nsimu - np.floor(b * nsimu).astype(int) + 1 + + # Check if appropiate indexes + if (index_a + index_b) / nsimu > 1: + raise ValueError("Sample size too small to " + "meaningfully extract subsets " + "for Geweke's test.") + + # Expect to see RuntimeWarnings in this block for short chains + with warnings.catch_warnings(): + warnings.simplefilter("ignore", category=RuntimeWarning) + # Mean of First fraction + mean_a = np.mean(chain[0:index_a, :], axis=0) + # Mean of Second fraction + mean_b = np.mean(chain[index_b:, :], axis=0) + + # Spectral estimates for variance + spectrum_a = spectrum0(chain[0:index_a, :]) + spectrum_b = spectrum0(chain[index_b:, :]) + + # Calculate z-score + z_score = (mean_a - mean_b) / (np.sqrt( + spectrum_a / index_a + spectrum_b / + (nsimu - index_b + 1) + )) + # Calculate significance (p value) + p = 2 * (1 - norm.cdf(np.absolute(z_score))) + + return z_score, p + + +def burn_in_by_sequential_geweke(chain: np.array, + zscore: float = 2.) -> int: + """ + Calculates the burn-in of MCMC chains. + + Parameters + ---------- + chain: + The MCMC chain after removing warm up phase. + zscore: + The Geweke test threshold. Default 2. + + Returns + ------- + burn_in: + Iteration where the first and the last fraction + of the chain do not differ significantly + regarding Geweke test. + """ + + nsimu, npar = chain.shape + # number of fragments + n = 20 + # round each element to the nearest integer + # toward zero + step = np.floor(nsimu / n).astype(int) + fragments = np.arange(0, nsimu-1, step) + + z = np.zeros((len(fragments), npar)) + for i, indices in enumerate(fragments): + # Calculate z-score + z[i, :], _ = calculate_zscore(chain[indices:, :]) + + # Sort z-score for Bonferroni-Holm inverse + # to sorting p-values + max_z = np.max(np.absolute(z), axis=1) + idxs = max_z.argsort()[::-1] # sort descend + alpha2 = zscore * np.ones((len(idxs))) + + for i in range(len(max_z)): + alpha2[idxs[i]] = (alpha2[idxs[i]] / + (len(fragments) - np.where(idxs == i)[0] + 1)) + + if np.any(alpha2 > max_z): + burn_in = (np.where(alpha2 > max_z)[0][0]) * step + else: + burn_in = nsimu + logger.warning("Burn in index coincides with chain " + "length. The chain seems that has not " + "converged yet.\n" + "You may want to use a larger number " + "of samples.") + + return burn_in diff --git a/pypesto/sampling/metropolis.py b/pypesto/sampling/metropolis.py index d7226050e..b63989000 100644 --- a/pypesto/sampling/metropolis.py +++ b/pypesto/sampling/metropolis.py @@ -1,9 +1,9 @@ import numpy as np from typing import Dict, Sequence, Union +from tqdm import tqdm -from ..objective import Objective +from ..objective import History, ObjectiveBase, NegLogPriors from ..problem import Problem -from ..objective import History from .sampler import InternalSample, InternalSampler from .result import McmcPtResult @@ -16,92 +16,128 @@ class MetropolisSampler(InternalSampler): def __init__(self, options: Dict = None): super().__init__(options) self.problem: Union[Problem, None] = None - self.objective: Union[Objective, None] = None + self.neglogpost: Union[ObjectiveBase, None] = None + self.neglogprior: Union[NegLogPriors, None] = None self.trace_x: Union[Sequence[np.ndarray], None] = None - self.trace_fval: Union[Sequence[float], None] = None + self.trace_neglogpost: Union[Sequence[float], None] = None + self.trace_neglogprior: Union[Sequence[float], None] = None + self.temper_lpost: bool = False @classmethod def default_options(cls): return { 'std': 1., # the proposal standard deviation + 'show_progress': True, # whether to show the progress } def initialize(self, problem: Problem, x0: np.ndarray): self.problem = problem - self.objective = problem.objective - self.objective.history = History() + self.neglogpost = problem.objective + self.neglogpost.history = History() + if problem.x_priors is None: + self.neglogprior = lambda x: -0. + else: + self.neglogprior = problem.x_priors self.trace_x = [x0] - self.trace_fval = [self.objective(x0)] + self.trace_neglogpost = [self.neglogpost(x0)] + self.trace_neglogprior = [self.neglogprior(x0)] def sample(self, n_samples: int, beta: float = 1.): # load last recorded particle x = self.trace_x[-1] - llh = - self.trace_fval[-1] + lpost = - self.trace_neglogpost[-1] + lprior = - self.trace_neglogprior[-1] + + show_progress = self.options['show_progress'] # loop over iterations - for _ in range(int(n_samples)): + for _ in tqdm(range(int(n_samples)), disable=not show_progress): # perform step - x, llh = self._perform_step(x, llh, beta) - + x, lpost, lprior = self._perform_step( + x=x, lpost=lpost, lprior=lprior, beta=beta) # record step self.trace_x.append(x) - self.trace_fval.append(-llh) + self.trace_neglogpost.append(-lpost) + self.trace_neglogprior.append(-lprior) + + def make_internal(self, temper_lpost: bool): + self.options['show_progress'] = False + self.temper_lpost = temper_lpost - def _perform_step(self, x: np.ndarray, llh: float, beta: float): + def _perform_step(self, x: np.ndarray, lpost: np.ndarray, + lprior: np.ndarray, beta: float): """ Perform a step: Propose new parameter, evaluate and check whether to accept. """ + # propose step x_new: np.ndarray = self._propose_parameter(x) # check if step lies within bounds if any(x_new < self.problem.lb) or any(x_new > self.problem.ub): # will not be accepted - llh_new = - np.inf + lpost_new = - np.inf else: - # compute function value - llh_new = - self.objective(x_new) - - # log acceptance probability - log_p_acc = min(beta * (llh_new - llh), 0) + # compute log posterior + lpost_new = - self.neglogpost(x_new) + + # compute log prior + lprior_new = - self.neglogprior(x_new) + + if not self.temper_lpost: + # extract current log likelihood value + llh = lpost - lprior + # extract proposed log likelihood value + llh_new = lpost_new - lprior_new + # log acceptance probability (temper log likelihood) + log_p_acc = min(beta * (llh_new - llh) + (lprior_new - lprior), 0) + else: + # log acceptance probability (temper log posterior) + log_p_acc = min(beta * (lpost_new - lpost), 0) # flip a coin u = np.random.uniform(0, 1) + # check acceptance if np.log(u) < log_p_acc: # update particle x = x_new - llh = llh_new + lpost = lpost_new + lprior = lprior_new # update proposal - self._update_proposal(x, llh, log_p_acc, len(self.trace_fval)+1) + self._update_proposal(x, lpost, + log_p_acc, len(self.trace_neglogpost)+1) - return x, llh + return x, lpost, lprior def _propose_parameter(self, x: np.ndarray): """Propose a step.""" x_new: np.ndarray = x + self.options['std'] * np.random.randn(len(x)) return x_new - def _update_proposal(self, x: np.ndarray, llh: float, log_p_acc: float, - n_sample_cur: int): + def _update_proposal(self, x: np.ndarray, lpost: float, + log_p_acc: float, n_sample_cur: int): """Update the proposal density. Default: Do nothing.""" def get_last_sample(self) -> InternalSample: return InternalSample( x=self.trace_x[-1], - llh=- self.trace_fval[-1] + lpost=- self.trace_neglogpost[-1], + lprior=- self.trace_neglogprior[-1] ) def set_last_sample(self, sample: InternalSample): self.trace_x[-1] = sample.x - self.trace_fval[-1] = - sample.llh + self.trace_neglogpost[-1] = - sample.lpost + self.trace_neglogprior[-1] = - sample.lprior def get_samples(self) -> McmcPtResult: result = McmcPtResult( trace_x=np.array([self.trace_x]), - trace_fval=np.array([self.trace_fval]), + trace_neglogpost=np.array([self.trace_neglogpost]), + trace_neglogprior=np.array([self.trace_neglogprior]), betas=np.array([1.]), ) return result diff --git a/pypesto/sampling/parallel_tempering.py b/pypesto/sampling/parallel_tempering.py index de04e11fa..2c02ae7b3 100644 --- a/pypesto/sampling/parallel_tempering.py +++ b/pypesto/sampling/parallel_tempering.py @@ -1,4 +1,5 @@ from typing import Dict, List, Sequence, Union +from tqdm import tqdm import numpy as np import copy @@ -19,7 +20,7 @@ def __init__( super().__init__(options) # set betas - if (betas is None) + (n_chains is None) != 1: + if (betas is None) == (n_chains is None): raise ValueError("Set either betas or n_chains.") if betas is None: betas = near_exponential_decay_betas( @@ -30,14 +31,20 @@ def __init__( self.betas0 = np.array(betas) self.betas = None + self.temper_lpost = self.options['temper_log_posterior'] + self.samplers = [copy.deepcopy(internal_sampler) for _ in range(len(self.betas0))] + # configure internal samplers + for sampler in self.samplers: + sampler.make_internal(temper_lpost=self.temper_lpost) @classmethod def default_options(cls) -> Dict: return { 'max_temp': 5e4, 'exponent': 4, + 'temper_log_posterior': False, } def initialize(self, @@ -57,7 +64,7 @@ def initialize(self, def sample( self, n_samples: int, beta: float = 1.): # loop over iterations - for i_sample in range(int(n_samples)): + for i_sample in tqdm(range(int(n_samples))): # TODO test # sample for sampler, beta in zip(self.samplers, self.betas): sampler.sample(n_samples=1, beta=beta) @@ -72,10 +79,14 @@ def get_samples(self) -> McmcPtResult: """Concatenate all chains.""" results = [sampler.get_samples() for sampler in self.samplers] trace_x = np.array([result.trace_x[0] for result in results]) - trace_fval = np.array([result.trace_fval[0] for result in results]) + trace_neglogpost = np.array([result.trace_neglogpost[0] + for result in results]) + trace_neglogprior = np.array([result.trace_neglogprior[0] + for result in results]) return McmcPtResult( trace_x=trace_x, - trace_fval=trace_fval, + trace_neglogpost=trace_neglogpost, + trace_neglogprior=trace_neglogprior, betas=self.betas ) @@ -98,8 +109,12 @@ def swap_samples(self) -> Sequence[bool]: sample1 = sampler1.get_last_sample() sample2 = sampler2.get_last_sample() + # extract log likelihood values + sample1_llh = sample1.lpost - sample1.lprior + sample2_llh = sample2.lpost - sample2.lprior + # swapping probability - p_acc_swap = dbeta * (sample2.llh - sample1.llh) + p_acc_swap = dbeta * (sample2_llh - sample1_llh) # flip a coin u = np.random.uniform(0, 1) diff --git a/pypesto/sampling/pymc3.py b/pypesto/sampling/pymc3.py new file mode 100644 index 000000000..9c3eef4f2 --- /dev/null +++ b/pypesto/sampling/pymc3.py @@ -0,0 +1,123 @@ +import numpy as np +from typing import Union +import logging + +from ..objective import History +from ..problem import Problem +from .sampler import Sampler +from .result import McmcPtResult + +logger = logging.getLogger(__name__) + +try: + import pymc3 as pm + import arviz as az + import theano.tensor as tt +except ImportError: + pm = az = tt = None + +try: + from .theano import TheanoLogProbability +except (AttributeError, ImportError): + TheanoLogProbability = None + + +class Pymc3Sampler(Sampler): + """Wrapper around Pymc3 samplers. + + Parameters + ---------- + step_function: + A pymc3 step function, e.g. NUTS, Slice. If not specified, pymc3 + determines one automatically (preferable). + **kwargs: + Options are directly passed on to `pymc3.sample`. + """ + + def __init__(self, step_function=None, **kwargs): + super().__init__(kwargs) + self.step_function = step_function + self.problem: Union[Problem, None] = None + self.x0: Union[np.ndarray, None] = None + self.trace: Union[pm.backends.Text, None] = None + self.data: Union[az.InferenceData, None] = None + + @classmethod + def translate_options(cls, options): + if not options: + options = {'chains': 1} + return options + + def initialize(self, problem: Problem, x0: np.ndarray): + self.problem = problem + self.x0 = x0 + self.trace = None + self.data = None + + self.problem.objective.history = History() + + def sample( + self, n_samples: int, beta: float = 1.): + problem = self.problem + log_post_fun = TheanoLogProbability(problem, beta) + trace = self.trace + + x0 = None + if self.x0 is not None: + x0 = {x_name: val + for x_name, val in zip(self.problem.x_names, self.x0)} + + # create model context + with pm.Model() as model: + # uniform bounds + k = [pm.Uniform(x_name, lower=lb, upper=ub) + for x_name, lb, ub in + zip(problem.x_names, problem.lb, problem.ub)] + + # convert to tensor vector + theta = tt.as_tensor_variable(k) + + # use a DensityDist for the log-posterior + pm.DensityDist('log_post', logp=lambda v: log_post_fun(v), + observed={'v': theta}) + + # step, by default automatically determined by pymc3 + step = None + if self.step_function: + step = self.step_function() + + # perform the actual sampling + trace = pm.sample( + draws=int(n_samples), trace=trace, start=x0, step=step, + **self.options) + + # convert trace to inference data object + data = az.from_pymc3(trace=trace, model=model) + + self.trace = trace + self.data = data + + def get_samples(self) -> McmcPtResult: + # parameter values + trace_x = np.asarray( + self.data.posterior.to_array()).transpose((1, 2, 0)) + + # TODO this is only the negative objective values + trace_neglogpost = np.asarray(self.data.log_likelihood.to_array()) + # remove trailing dimensions + trace_neglogpost = np.reshape(trace_neglogpost, + trace_neglogpost.shape[1:-1]) + # flip sign + trace_neglogpost = - trace_neglogpost + + if trace_x.shape[0] != trace_neglogpost.shape[0] \ + or trace_x.shape[1] != trace_neglogpost.shape[1] \ + or trace_x.shape[2] != len(self.problem.x_names): + raise ValueError("Trace dimensions are inconsistent") + + return McmcPtResult( + trace_x=np.array(trace_x), + trace_neglogpost=np.array(trace_neglogpost), + trace_neglogprior=np.full(trace_neglogpost.shape, np.nan), + betas=np.array([1.] * trace_x.shape[0]), + ) diff --git a/pypesto/sampling/result.py b/pypesto/sampling/result.py index 6ca12c040..32cf0e736 100644 --- a/pypesto/sampling/result.py +++ b/pypesto/sampling/result.py @@ -11,11 +11,15 @@ class McmcPtResult(dict): Parameters ---------- trace_x: [n_chain, n_iter, n_par] - Parameters - trace_fval: [n_chain, n_iter] - Function values. + Parameters. + trace_neglogpost: [n_chain, n_iter] + Negative log posterior values. + trace_neglogprior: [n_chain, n_iter] + Negative log prior values. betas: [n_chain] The associated inverse temperatures. + burn_in: [n_chain] + The burn in index. message: str Textual comment on the profile result. @@ -25,26 +29,45 @@ class McmcPtResult(dict): def __init__(self, trace_x: np.ndarray, - trace_fval: np.ndarray, + trace_neglogpost: np.ndarray, + trace_neglogprior: np.ndarray, betas: Iterable[float], + burn_in: int = None, + time: float = 0., message: str = None): super().__init__() self.trace_x = trace_x - self.trace_fval = trace_fval + self.trace_neglogpost = trace_neglogpost + self.trace_neglogprior = trace_neglogprior self.betas = betas + self.burn_in = burn_in + self.time = time self.message = message if trace_x.ndim != 3: raise ValueError(f"trace_x.ndim not as expected: {trace_x.ndim}") - if trace_fval.ndim != 2: - raise ValueError("trace_fval.ndim not as expected: " - f"{trace_fval.ndim}") - if trace_x.shape[0] != trace_fval.shape[0] \ - or trace_x.shape[1] != trace_fval.shape[1]: + if trace_neglogpost.ndim != 2: + raise ValueError("trace_neglogpost.ndim not as expected: " + f"{trace_neglogpost.ndim}") + if trace_neglogprior.ndim != 2: + raise ValueError("trace_neglogprior.ndim not as expected: " + f"{trace_neglogprior.ndim}") + if trace_x.shape[0] != trace_neglogpost.shape[0] \ + or trace_x.shape[1] != trace_neglogpost.shape[1]: raise ValueError("Trace dimensions do not match:" f"trace_x.shape={trace_x.shape}," - f"trace_fval.shape={trace_fval.shape}") + f"trace_neglogpost.shape={trace_neglogpost.shape}") # noqa + if trace_x.shape[0] != trace_neglogprior.shape[0] \ + or trace_x.shape[1] != trace_neglogprior.shape[1]: + raise ValueError("Trace dimensions do not match:" + f"trace_x.shape={trace_x.shape}," + f"trace_neglogprior.shape={trace_neglogprior.shape}") # noqa + if trace_neglogpost.shape[0] != trace_neglogprior.shape[0] \ + or trace_neglogpost.shape[1] != trace_neglogprior.shape[1]: + raise ValueError("Trace dimensions do not match:" + f"trace_neglogpost.shape={trace_neglogpost.shape}," # noqa + f"trace_neglogprior.shape={trace_neglogprior.shape}") # noqa def __getattr__(self, key): try: diff --git a/pypesto/sampling/sample.py b/pypesto/sampling/sample.py index a40fa398a..b21297b28 100644 --- a/pypesto/sampling/sample.py +++ b/pypesto/sampling/sample.py @@ -1,6 +1,7 @@ import logging import numpy as np from typing import List, Union +from time import process_time from ..problem import Problem from ..result import Result @@ -62,12 +63,18 @@ def sample( # initialize sampler to problem sampler.initialize(problem=problem, x0=x0) - # perform the sampling + # perform the sampling and track time + t_start = process_time() sampler.sample(n_samples=n_samples) + t_elapsed = process_time() - t_start + logger.info("Elapsed time: "+str(t_elapsed)) # extract results sampler_result = sampler.get_samples() + # record time + sampler_result.time = t_elapsed + # record results result.sample_result = sampler_result diff --git a/pypesto/sampling/sampler.py b/pypesto/sampling/sampler.py index 821cb503e..b0b888e4e 100644 --- a/pypesto/sampling/sampler.py +++ b/pypesto/sampling/sampler.py @@ -32,7 +32,7 @@ def initialize(self, @abc.abstractmethod def sample( - self, n_samples: int, beta: float = 1. + self, n_samples: int, beta: float = 1., ): """Perform sampling. @@ -89,13 +89,16 @@ class InternalSample: ---------- x: Parameter values. - llh: - Log-likelihood or log-posterior value (negative function value). + lpost: + Log-posterior value (negative function value). + lprior: + Log-prior value (negative function value). """ - def __init__(self, x: np.ndarray, llh: float): + def __init__(self, x: np.ndarray, lpost: float, lprior: float): self.x = x - self.llh = llh + self.lpost = lpost + self.lprior = lprior class InternalSampler(Sampler): @@ -125,3 +128,15 @@ def set_last_sample(self, sample: InternalSample): sample: The sample that will replace the last sample in the chain. """ + + def make_internal(self, temper_lpost: bool): + """ + This function can be called by parallel tempering samplers during + initialization to allow the inner samplers to adjust to them + being used as inner samplers. Default: Do nothing. + + Parameters + ---------- + temper_lpost: + Whether to temperate the posterior or only the likelihood. + """ diff --git a/pypesto/sampling/theano.py b/pypesto/sampling/theano.py new file mode 100644 index 000000000..f2bb5049e --- /dev/null +++ b/pypesto/sampling/theano.py @@ -0,0 +1,83 @@ +import numpy as np + +from ..objective import Objective +from ..problem import Problem + +try: + import theano.tensor as tt + from theano.gof.null_type import NullType +except ImportError: + tt = NullType = None + + +class TheanoLogProbability(tt.Op): + """ + Theano wrapper around a (non-normalized) log-probability function. + + Parameters + ---------- + problem: + The `pypesto.Problem` to analyze. + beta: + Inverse temperature (e.g. in parallel tempering). + """ + + itypes = [tt.dvector] # expects a vector of parameter values when called + otypes = [tt.dscalar] # outputs a single scalar value (the log prob) + + def __init__(self, problem: Problem, beta: float = 1.): + self._objective: Objective = problem.objective + + # initialize the log probability Op + self._log_prob = \ + lambda x: - beta * self._objective(x, sensi_orders=(0,)) + + # initialize the sensitivity Op + if problem.objective.has_grad: + self._log_prob_grad = TheanoLogProbabilityGradient(problem, beta) + else: + self._log_prob_grad = None + + def perform(self, node, inputs, outputs, params=None): + theta, = inputs + log_prob = self._log_prob(theta) + outputs[0][0] = np.array(log_prob) + + def grad(self, inputs, g): + # the method that calculates the gradients - it actually returns the + # vector-Jacobian product - g[0] is a vector of parameter values + if self._log_prob_grad is None: + # indicates gradient not available + return [NullType] + theta, = inputs + log_prob_grad = self._log_prob_grad(theta) + return [g[0] * log_prob_grad] + + +class TheanoLogProbabilityGradient(tt.Op): + """ + Theano wrapper around a (non-normalized) log-probability gradient function. + This Op will be called with a vector of values and also return a vector of + values - the gradients in each dimension. + + Parameters + ---------- + problem: + The `pypesto.Problem` to analyze. + beta: + Inverse temperature (e.g. in parallel tempering). + """ + + itypes = [tt.dvector] # expects a vector of parameter values when called + otypes = [tt.dvector] # outputs a vector (the log prob grad) + + def __init__(self, problem: Problem, beta: float = 1.): + self._objective: Objective = problem.objective + self._log_prob_grad = \ + lambda x: - beta * self._objective(x, sensi_orders=(1,)) + + def perform(self, node, inputs, outputs, params=None): + theta, = inputs + # calculate gradients + log_prob_grad = self._log_prob_grad(theta) + outputs[0][0] = log_prob_grad diff --git a/pypesto/storage/hdf5.py b/pypesto/storage/hdf5.py index 3ae6c002c..cd382de11 100644 --- a/pypesto/storage/hdf5.py +++ b/pypesto/storage/hdf5.py @@ -1,9 +1,35 @@ """Convenience functions for working with HDF5 files""" import h5py -from typing import Collection -from numbers import Number import numpy as np +from typing import Collection +from numbers import Number, Integral, Real + + +def write_array(f: h5py.Group, + path: str, + values: Collection) -> None: + """ + Write array to hdf5 + + Parameters + ------------- + f: + h5py.Group where dataset should be created + path: + path of the dataset to create + values: + array to write + """ + + if all(isinstance(x, Integral) for x in values): + write_int_array(f, path, values) + elif all(isinstance(x, Real) for x in values): + write_float_array(f, path, values) + elif all(isinstance(x, str) for x in values): + write_string_array(f, path, + values) + def write_string_array(f: h5py.Group, path: str, @@ -14,7 +40,7 @@ def write_string_array(f: h5py.Group, Parameters ------------- f: - h5py.File + h5py.Group where dataset should be created path: path of the dataset to create strings: @@ -35,7 +61,7 @@ def write_float_array(f: h5py.Group, Parameters ------------- f: - h5py.File + h5py.Group where dataset should be created path: path of the dataset to create values: @@ -43,7 +69,10 @@ def write_float_array(f: h5py.Group, dtype: datatype """ - dset = f.create_dataset(path, (np.shape(values)), dtype=dtype) + if path not in f: + dset = f.create_dataset(path, (np.shape(values)), dtype=dtype) + else: + dset = f[path] dset[:] = values @@ -57,7 +86,7 @@ def write_int_array(f: h5py.Group, Parameters ------------- f: - h5py.File + h5py.Group where dataset should be created path: path of the dataset to create values: diff --git a/pypesto/storage/read_from_hdf5.py b/pypesto/storage/read_from_hdf5.py index 28c0daf66..6c5052140 100644 --- a/pypesto/storage/read_from_hdf5.py +++ b/pypesto/storage/read_from_hdf5.py @@ -2,7 +2,7 @@ from ..result import Result from ..optimize.result import OptimizerResult from ..problem import Problem -from ..objective import Objective +from ..objective import Objective, ObjectiveBase def read_hdf5_optimization(f: h5py.File, @@ -50,20 +50,39 @@ def __init__(self, storage_filename: str): HDF5 problem file name """ self.storage_filename = storage_filename - self.problem = Problem(Objective(), [], []) - def read(self) -> Problem: + def read(self, objective: ObjectiveBase = None) -> Problem: """ Read HDF5 problem file and return pyPESTO problem object. + + Parameters + ---------- + objective: + Objective function which is currently not save to storage. + Returns + ------- + problem: + A problem instance with all attributes read in. """ + # create empty problem + if objective is None: + objective = Objective() + problem = Problem(objective, [], []) + with h5py.File(self.storage_filename, 'r') as f: for problem_key in f['/problem']: - setattr(self.problem, problem_key, + setattr(problem, problem_key, f[f'/problem/{problem_key}'][:]) for problem_attr in f['/problem'].attrs: - setattr(self.problem, problem_attr, + setattr(problem, problem_attr, f['/problem'].attrs[problem_attr]) - return self.problem + + # h5 uses numpy for everything; convert to lists where necessary + problem.x_fixed_vals = [float(val) for val in problem.x_fixed_vals] + problem.x_fixed_indices = [int(ix) for ix in problem.x_fixed_indices] + problem.x_names = [str(name) for name in problem.x_names] + + return problem class OptimizationResultHDF5Reader: diff --git a/pypesto/storage/save_to_hdf5.py b/pypesto/storage/save_to_hdf5.py index 4b1c1bce5..3ee9ff5a7 100644 --- a/pypesto/storage/save_to_hdf5.py +++ b/pypesto/storage/save_to_hdf5.py @@ -1,6 +1,11 @@ +import os +from typing import Union +from numbers import Integral + import h5py import numpy as np -from .hdf5 import write_string_array, write_int_array, write_float_array + +from .hdf5 import write_array, write_float_array from ..result import Result @@ -13,15 +18,6 @@ class ProblemHDF5Writer: storage_filename: HDF5 result file name """ - LB = 'lb' - UB = 'ub' - LB_FULL = 'lb_full' - UB_FULL = 'ub_full' - X_FIXED_VALS = 'x_fixed_vals' - X_FIXED_INDICES = 'x_fixed_indices' - X_NAMES = 'x_names' - DIM = 'dim' - DIM_FULL = 'dim_full' def __init__(self, storage_filename: str): """ @@ -37,6 +33,13 @@ def write(self, problem, overwrite: bool = False): """ Write HDF5 problem file from pyPESTO problem object. """ + + # Create destination directory + if isinstance(self.storage_filename, str): + basedir = os.path.dirname(self.storage_filename) + if basedir: + os.makedirs(basedir, exist_ok=True) + with h5py.File(self.storage_filename, "a") as f: if "problem" in f: if overwrite: @@ -46,21 +49,43 @@ def write(self, problem, overwrite: bool = False): "information about optimization result." "If you wish to overwrite the file set" "overwrite=True.") + attrs_to_save = [a for a in dir(problem) if not a.startswith('__') + and not callable(getattr(problem, a)) + and not hasattr(type(problem), a)] problem_grp = f.create_group("problem") # problem_grp.attrs['config'] = objective.get_config() - problem_grp.attrs[self.DIM] = problem.dim - problem_grp.attrs[self.DIM_FULL] = problem.dim_full - write_float_array(problem_grp, self.LB, problem.lb) - write_float_array(problem_grp, self.UB, problem.ub) - write_float_array(problem_grp, self.LB_FULL, problem.lb_full) - write_float_array(problem_grp, self.UB_FULL, problem.ub_full) - write_float_array(problem_grp, self.X_FIXED_VALS, - problem.x_fixed_vals) - write_int_array(problem_grp, self.X_FIXED_INDICES, - problem.x_fixed_indices) - write_string_array(problem_grp, self.X_NAMES, problem.x_names) + for problem_attr in attrs_to_save: + value = getattr(problem, problem_attr) + if isinstance(value, (list, np.ndarray)): + write_array(problem_grp, problem_attr, value) + elif isinstance(value, Integral): + problem_grp.attrs[problem_attr] = value + + +def get_or_create_group(f: Union[h5py.File, h5py.Group], + group_path: str) -> h5py.Group: + """ + Helper function that returns a group object for the group with group_path + relative to f. Creates it if it doesn't exist. + + Attributes + ------------- + f: file or group where existence of a group with the path group_path + should be checked + group_path: the path or simply the name of the group that should exist in f + + Returns + ------- + grp: + hdf5 group object with specified path. + """ + if group_path in f: + grp = f[group_path] + else: + grp = f.create_group(group_path) + return grp class OptimizationResultHDF5Writer: @@ -87,22 +112,31 @@ def write(self, result: Result, overwrite=False): """ Write HDF5 result file from pyPESTO result object. """ + + # Create destination directory + if isinstance(self.storage_filename, str): + basedir = os.path.dirname(self.storage_filename) + if basedir: + os.makedirs(basedir, exist_ok=True) + with h5py.File(self.storage_filename, "a") as f: - if "optimization" in f: - if overwrite: - del f["optimization"] - else: - raise Exception("The file already exists and contains " - "information about optimization result." - "If you wish to overwrite the file set" - "overwrite=True.") - optimization_grp = f.create_group("optimization") + optimization_grp = get_or_create_group(f, "optimization") # settings = # optimization_grp.create_dataset("settings", settings, dtype=) - results_grp = optimization_grp.create_group("results") - for i, start in enumerate(result.optimize_result.list): - start_grp = results_grp.create_group(str(i)) + results_grp = get_or_create_group(optimization_grp, "results") + + for start in result.optimize_result.list: + start_id = start['id'] + start_grp = get_or_create_group(results_grp, start_id) start['history'] = None # TOOD temporary fix + if not overwrite: + for key in start.keys(): + if key in start_grp.keys() or key in start_grp.attrs: + raise Exception("The file already exists and " + "contains information about " + "optimization result. If you wish " + "to overwrite it, set " + "overwrite=True.") for key in start.keys(): if isinstance(start[key], np.ndarray): write_float_array(start_grp, key, start[key]) diff --git a/pypesto/version.py b/pypesto/version.py index 4ae81f3de..3dc1f76bc 100644 --- a/pypesto/version.py +++ b/pypesto/version.py @@ -1 +1 @@ -__version__ = "0.0.13" +__version__ = "0.1.0" diff --git a/pypesto/visualize/__init__.py b/pypesto/visualize/__init__.py index f92475ac6..ae1a1b699 100644 --- a/pypesto/visualize/__init__.py +++ b/pypesto/visualize/__init__.py @@ -24,6 +24,7 @@ from .profiles import (profiles, profiles_lowlevel, profile_lowlevel) +from .profile_cis import (profile_cis) from .sampling import (sampling_fval_trace, sampling_parameters_trace, sampling_scatter, diff --git a/pypesto/visualize/misc.py b/pypesto/visualize/misc.py index b529b5abc..488167aef 100644 --- a/pypesto/visualize/misc.py +++ b/pypesto/visualize/misc.py @@ -8,7 +8,7 @@ def process_result_list(results, colors=None, legends=None): """ - assigns colors and legends to a list of results, chekc user provided lists + assigns colors and legends to a list of results, check user provided lists Parameters ---------- @@ -154,13 +154,30 @@ def process_y_limits(ax, y_limits): # apply y-limits, if they were specified by the user if y_limits is not None: y_limits = np.array(y_limits) - if y_limits.size == 1: + + # check validity of bounds + if y_limits.size == 0: + y_limits = np.array(ax.get_ylim()) + elif y_limits.size == 1: + # if the user specified only an upper bound tmp_y_limits = ax.get_ylim() y_limits = [tmp_y_limits[0], y_limits] - else: + elif y_limits.size > 1: y_limits = [y_limits[0], y_limits[1]] - # set limits - ax.set_ylim(y_limits) + # check validity of bounds if plotting in log-scale + if ax.get_yscale() == 'log' and y_limits[0] <= 0.: + tmp_y_limits = ax.get_ylim() + if y_limits[1] <= 0.: + y_limits = tmp_y_limits + warnings.warn("Invalid bounds for plotting in " + "log-scale. Using defaults bounds.") + else: + y_limits = [tmp_y_limits[0], y_limits[1]] + warnings.warn("Invalid lower bound for plotting in " + "log-scale. Using only upper bound.") + + # set limits + ax.set_ylim(y_limits) return ax diff --git a/pypesto/visualize/parameters.py b/pypesto/visualize/parameters.py index 70a6c49c5..33ae44b7a 100644 --- a/pypesto/visualize/parameters.py +++ b/pypesto/visualize/parameters.py @@ -16,48 +16,37 @@ def parameters(results, ax=None, free_indices_only=True, lb=None, ub=None, Parameters ---------- - results: pypesto.Result or list Optimization result obtained by 'optimize.py' or list of those - ax: matplotlib.Axes, optional Axes object to use. - free_indices_only: bool, optional If True, only free parameters are shown. If False, also the fixed parameters are shown. - lb, ub: ndarray, optional If not None, override result.problem.lb, problem.problem.ub. Dimension either result.problem.dim or result.problem.dim_full. - size: tuple, optional Figure size (width, height) in inches. Is only applied when no ax object is specified - reference: list, optional List of reference points for optimization results, containing et least a function value fval - colors: list, or RGBA, optional list of colors, or single color color or list of colors for plotting. If not set, clustering is done and colors are assigned automatically - legends: list or str Labels for line plots, one label per result object - balance_alpha: bool (optional) Flag indicating whether alpha for large clusters should be reduced to avoid overplotting (default: True) - start_indices: list or int list of integers specifying the multistarts to be plotted or int specifying up to which start index should be plotted Returns ------- - ax: matplotlib.Axes The plot axes. """ @@ -194,7 +183,7 @@ def parameters_lowlevel(xs, fvals, lb=None, ub=None, x_labels=None, ax.plot(ub.flatten(), parameters_ind, 'k--', marker='+') ax.set_xlabel('Parameter value') - ax.set_ylabel('Parameter index') + ax.set_ylabel('Parameter') ax.set_title('Estimated parameters') if legend_text is not None: ax.legend() diff --git a/pypesto/visualize/profile_cis.py b/pypesto/visualize/profile_cis.py new file mode 100644 index 000000000..98b28be37 --- /dev/null +++ b/pypesto/visualize/profile_cis.py @@ -0,0 +1,84 @@ +import matplotlib.axes +import matplotlib.pyplot as plt +from typing import Sequence, Union +import numpy as np + +from ..result import Result +from ..profile import chi2_quantile_to_ratio, calculate_approximate_ci + + +def profile_cis( + result: Result, + confidence_level: float = 0.95, + profile_indices: Sequence[int] = None, + profile_list: int = 0, + color: Union[str, tuple] = 'C0', + show_bounds: bool = False, + ax: matplotlib.axes.Axes = None, +) -> matplotlib.axes.Axes: + """ + Plot approximate confidence intervals based on profiles. + + Parameters + ---------- + result: + The result object after profiling. + confidence_level: + The confidence level in (0,1), which is translated to an approximate + threshold assuming a chi2 distribution, using + `pypesto.profile.chi2_quantile_to_ratio`. + profile_indices: + List of integer values specifying which profiles should be plotted. + Defaults to the indices for which profiles were generated in profile + list `profile_list`. + profile_list: + Index of the profile list to be used. + color: + Main plot color. + show_bounds: + Whether to show, and extend the plot to, the lower and upper bounds. + ax: + Axes object to use. Default: Create a new one. + """ + # extract problem + problem = result.problem + # extract profile list + profile_list = result.profile_result.list[profile_list] + + if profile_indices is None: + profile_indices = [ix for ix, res in enumerate(profile_list) if res] + + if ax is None: + _, ax = plt.subplots() + + confidence_ratio = chi2_quantile_to_ratio(confidence_level) + + # calculate intervals + intervals = [] + for i_par in range(problem.dim_full): + if i_par not in profile_indices: + continue + xs = profile_list[i_par].x_path[i_par] + ratios = profile_list[i_par].ratio_path + lb, ub = calculate_approximate_ci( + xs=xs, ratios=ratios, confidence_ratio=confidence_ratio) + intervals.append((lb, ub)) + + x_names = [problem.x_names[ix] for ix in profile_indices] + + for ix, (lb, ub) in enumerate(intervals): + ax.plot([lb, ub], [ix+1, ix+1], marker='|', color=color) + + parameters_ind = np.arange(1, len(intervals) + 1) + ax.set_yticks(parameters_ind) + ax.set_yticklabels(x_names) + ax.set_ylabel("Parameter") + ax.set_xlabel("Parameter value") + + if show_bounds: + lb = problem.lb_full[profile_indices] + ax.plot(lb, parameters_ind, 'k--', marker='+') + ub = problem.ub_full[profile_indices] + ax.plot(ub, parameters_ind, 'k--', marker='+') + + return ax diff --git a/pypesto/visualize/profiles.py b/pypesto/visualize/profiles.py index 9a1da8042..ebf434f52 100644 --- a/pypesto/visualize/profiles.py +++ b/pypesto/visualize/profiles.py @@ -1,117 +1,145 @@ import matplotlib.pyplot as plt from matplotlib.ticker import MaxNLocator import numpy as np -from .reference_points import create_references +from typing import Sequence, Tuple, Union +from warnings import warn + +from ..result import Result +from .reference_points import create_references, ReferencePoint from .clust_color import assign_colors from .misc import process_result_list -def profiles(results, ax=None, profile_indices=None, size=(18.5, 6.5), - reference=None, colors=None, legends=None, profile_list_id=0): +def profiles(results: Union[Result, Sequence[Result]], + ax=None, + profile_indices: Sequence[int] = None, + size: Sequence[float] = (18.5, 6.5), + reference: Union[ReferencePoint, Sequence[ReferencePoint]] = None, + colors=None, + legends: Sequence[str] = None, + x_labels: Sequence[str] = None, + profile_list_ids: Union[int, Sequence[int]] = 0, + ratio_min: float = 0., + show_bounds: bool = False): """ Plot classical 1D profile plot (using the posterior, e.g. Gaussian like profile) Parameters ---------- - results: list or pypesto.Result - list of pypesto.Result or single pypesto.Result - + List of or single `pypesto.Result` after profiling. ax: list of matplotlib.Axes, optional List of axes objects to use. - profile_indices: list of integer values - list of integer values specifying which profiles should be plotted - + List of integer values specifying which profiles should be plotted. size: tuple, optional Figure size (width, height) in inches. Is only applied when no ax - object is specified - + object is specified. reference: list, optional - List of reference points for optimization results, containing et - least a function value fval - + List of reference points for optimization results, containing at + least a function value fval. colors: list, or RGBA, optional - list of colors, or single color - color or list of colors for plotting. If not set, clustering is done - and colors are assigned automatically - + List of colors, or single color. legends: list or str, optional - Labels for line plots, one label per result object - - profile_list_id: int, optional - index of the profile list to be used for profiling + Labels for line plots, one label per result object. + x_labels: list of str + Labels for parameter value axes (e.g. parameter names). + profile_list_ids: int or list of ints, optional + Index or list of indices of the profile lists to be used for profiling. + ratio_min: + Minimum ratio below which to cut off. + show_bounds: + Whether to show, and extend the plot to, the lower and upper bounds. Returns ------- - ax: matplotlib.Axes The plot axes. """ # parse input - (results, colors, legends) = process_result_list(results, colors, legends) + results, profile_list_ids, colors, legends = process_result_list_profiles( + results, profile_list_ids, colors, legends) - # get the correct number of parameter indices, even if not the same in - # all result objects - if profile_indices is None: - profile_indices = [] - for result in results: - tmp_indices = [ind for ind in range(len( - result.profile_result.list[profile_list_id]))] - profile_indices = list(set().union(profile_indices, tmp_indices)) + # get the parameter ids to be plotted + profile_indices = process_profile_indices(results, profile_indices, + profile_list_ids) # loop over results - for j, result in enumerate(results): - fvals = handle_inputs(result, profile_indices=profile_indices, - profile_list_id=profile_list_id) + for i_result, result in enumerate(results): + for i_profile_list, profile_list_id in enumerate(profile_list_ids): + fvals = handle_inputs(result, profile_indices=profile_indices, + profile_list=profile_list_id, + ratio_min=ratio_min) + + # add x_labels for parameters + if x_labels is None: + x_labels = [name for name, fval in + zip(result.problem.x_names, fvals) + if fval is not None] + + # plot multiple results or profile runs into one figure? + if len(results) == 1 and len(profile_list_ids) > 1: + # multiple profile runs per axes object + color_ind = i_profile_list + else: + # multiple results per axes object + color_ind = i_result - # call lowlevel routine - ax = profiles_lowlevel(fvals=fvals, ax=ax, size=size, - color=colors[j], legend_text=legends[j]) + # call lowlevel routine + ax = profiles_lowlevel( + fvals=fvals, ax=ax, size=size, color=colors[color_ind], + legend_text=legends[color_ind], x_labels=x_labels, + show_bounds=show_bounds, lb_full=result.problem.lb_full, + ub_full=result.problem.ub_full) # parse and apply plotting options ref = create_references(references=reference) # plot reference points - ax = handle_reference_points(ref, ax, fvals) + ax = handle_reference_points(ref, ax, profile_indices) + + plt.tight_layout() return ax -def profiles_lowlevel(fvals, ax=None, size=(18.5, 6.5), color=None, - legend_text=None): +def profiles_lowlevel( + fvals, ax=None, size: Tuple[float, float] = (18.5, 6.5), + color=None, legend_text: str = None, x_labels=None, + show_bounds: bool = False, lb_full=None, ub_full=None): """ Lowlevel routine for profile plotting, working with a list of arrays only, opening different axes objects in case Parameters ---------- - fvals: numeric list or array - Including values need to be plotted. - + Values to plot. ax: list of matplotlib.Axes, optional - list of axes object to use. - + List of axes object to use. size: tuple, optional Figure size (width, height) in inches. Is only applied when no ax - object is specified - + object is specified. size: tuple, optional Figure size (width, height) in inches. Is only applied when no ax - object is specified - + object is specified. color: RGBA, optional - color for profiles in plot. - + Color for profiles in plot. legend_text: str - Label for line plots + Label for line plots. + legend_text: List[str] + Label for line plots. + show_bounds: + Whether to show, and extend the plot to, the lower and upper bounds. + lb_full: + Lower bound. + ub_full: + Upper bound. Returns ------- - ax: matplotlib.Axes The plot axes. """ @@ -129,90 +157,117 @@ def profiles_lowlevel(fvals, ax=None, size=(18.5, 6.5), color=None, # count number of necessary axes if isinstance(fvals, list): - n_fvals = np.sum([1 for fval in fvals if fval is not None]) + n_fvals = len(fvals) else: n_fvals = 1 fvals = [fvals] - # if axes already exist: does the number of axes fit? - if len(fvals) != len(ax) and not create_new_ax: - raise ('Number of axes does not match number of profiles. Stopping.') + # number of non-trivial profiles + n_profiles = sum((fval is not None for fval in fvals)) + + # if axes already exists, we have to match profiles to axes + if not create_new_ax: + if n_fvals != len(ax) and n_profiles != len(ax): + raise ValueError( + "Number of axes does not match number of profiles. Stopping.") + elif n_fvals == len(ax) and n_profiles != len(ax): + # we may have some empty profiles, which we have to skip + n_plots = n_fvals + else: + # n_profiles == len(ax):, we have exactly as many profiles as axes + n_plots = n_profiles + else: + n_plots = n_profiles + + if lb_full is None: + lb_full = [None] * len(fvals) + if ub_full is None: + ub_full = [None] * len(fvals) # compute number of columns and rows - columns = np.ceil(np.sqrt(n_fvals)) - if n_fvals > columns * (columns - 1): + columns = np.ceil(np.sqrt(n_plots)) + if n_plots > columns * (columns - 1): rows = columns else: rows = columns - 1 counter = 0 - for i_plot, fval in enumerate(fvals): + for i_plot, (fval, lb, ub) in enumerate(zip(fvals, lb_full, ub_full)): + # if we have empty profiles and more axes than profiles: skip + if n_plots != n_fvals and fval is None: + continue + # handle legend if i_plot == 0: tmp_legend = legend_text else: tmp_legend = None + # create or choose an axes object + if create_new_ax: + ax.append(fig.add_subplot(rows, columns, counter + 1)) + else: + plt.axes(ax[counter]) + # plot if data if fval is not None: - # create or choose an axes object - if create_new_ax: - ax.append(fig.add_subplot(rows, columns, counter + 1)) - else: - plt.axes(ax[counter]) - # run lowlevel routine for one profile - ax[counter] = profile_lowlevel(fval, ax[counter], - size=size, color=color, - legend_text=tmp_legend) - - # labels - ax[counter].set_xlabel(f'Parameter {i_plot} value') - if counter % columns == 0: - ax[counter].set_ylabel('Log-posterior ratio') - else: - ax[counter].set_yticklabels(['']) + ax[counter] = profile_lowlevel( + fval, ax[counter], size=size, color=color, + legend_text=tmp_legend, show_bounds=show_bounds, lb=lb, ub=ub) - # increase counter and cleanup legend - counter += 1 - tmp_legend = None + # labels + if x_labels is None: + ax[counter].set_xlabel(f'Parameter {i_plot}') + else: + ax[counter].set_xlabel(x_labels[counter]) + + if counter % columns == 0: + ax[counter].set_ylabel('Log-posterior ratio') + else: + ax[counter].set_yticklabels(['']) + + # increase counter and cleanup legend + counter += 1 return ax -def profile_lowlevel(fvals, ax=None, size=(18.5, 6.5), color=None, - legend_text=None): +def profile_lowlevel( + fvals, ax=None, size: Tuple[float, float] = (18.5, 6.5), + color=None, legend_text: str = None, show_bounds: bool = False, + lb: float = None, ub: float = None): """ Lowlevel routine for plotting one profile, working with a numpy array only Parameters ---------- - fvals: numeric list or array - Including values need to be plotted. - + Values to plot. ax: matplotlib.Axes, optional Axes object to use. - size: tuple, optional Figure size (width, height) in inches. Is only applied when no ax - object is specified - + object is specified. color: RGBA, optional - color for profiles in plot. - + Color for profiles in plot. legend_text: str - Label for line plots + Label for line plots. + show_bounds: + Whether to show, and extend the plot to, the lower and upper bounds. + lb: + Lower bound. + ub: + Upper bound. Returns ------- - ax: matplotlib.Axes The plot axes. """ # parse input - fvals = np.array(fvals) + fvals = np.asarray(fvals) # get colors color = assign_colors([1.], color) @@ -233,35 +288,32 @@ def profile_lowlevel(fvals, ax=None, size=(18.5, 6.5), color=None, if legend_text is not None: ax.legend() + if show_bounds: + ax.set_xlim([lb, ub]) + return ax -def handle_reference_points(ref, ax, fvals): +def handle_reference_points(ref, ax, profile_indices): """ Handle reference points. Parameters ---------- - ref: list, optional List of reference points for optimization results, containing et least a function value fval - ax: matplotlib.Axes, optional Axes object to use. + profile_indices: list of integer values + List of integer values specifying which profiles should be plotted. """ if len(ref) > 0: - # get the parameters which have profiles plotted - par_indices = [] - for i_plot, fval in enumerate(fvals): - if fval is not None: - par_indices.append(i_plot) - # loop over axes objects for i_par, i_ax in enumerate(ax): for i_ref in ref: - current_x = i_ref['x'][par_indices[i_par]] + current_x = i_ref['x'][profile_indices[i_par]] i_ax.plot([current_x, current_x], [0., 1.], color=i_ref.color, label=i_ref.legend) @@ -272,40 +324,134 @@ def handle_reference_points(ref, ax, fvals): return ax -def handle_inputs(result, profile_indices, profile_list_id=0): +def handle_inputs( + result: Result, + profile_indices: Sequence[int], + profile_list: int, + ratio_min: float): """ Retrieves the values of the profiles to be plotted later from a pypesto.ProfileResult object Parameters ---------- - result: pypesto.Result - Profile result obtained by 'profile.py' - + Profile result obtained by 'profile.py'. profile_indices: list of integer values - list of integer values specifying which profiles should be plotted - - profile_list_id: int, optional - index of the profile list to be used for profiling + List of integer values specifying which profiles should be plotted. + profile_list: int, optional + Index of the profile list to be used for profiling. Returns ------- - fvals: numeric list - Including values need to be plotted. + Including values that need to be plotted. """ # extract ratio values values from result fvals = [] - for i_par in range(0, len(result.profile_result.list[0])): - if i_par in profile_indices: - tmp = np.array([result.profile_result.list[ - profile_list_id][i_par].x_path[i_par, :], - result.profile_result.list[profile_list_id][ - i_par].ratio_path[:]]) + for i_par in range(0, len(result.profile_result.list[profile_list])): + if i_par in profile_indices and \ + result.profile_result.list[profile_list][i_par] is not None: + xs = result.profile_result.list[profile_list][i_par]\ + .x_path[i_par, :] + ratios = result.profile_result.list[profile_list][i_par]\ + .ratio_path[:] + + # constrain + indices = np.where(ratios > ratio_min) + xs = xs[indices] + ratios = ratios[indices] + + fvals_for_par = np.array([xs, ratios]) else: - tmp = None - fvals.append(tmp) + fvals_for_par = None + fvals.append(fvals_for_par) return fvals + + +def process_result_list_profiles(results: Result, + profile_list_ids: Sequence[int], + colors: Sequence[np.array], + legends: Union[str, list]) -> Sequence[int]: + """ + assigns colors and legends to a list of results while taking care of the + special cases for profile plotting + + Parameters + ---------- + results: list or pypesto.Result + List of or single `pypesto.Result` after profiling. + profile_list_ids: int or list of ints, optional + Index or list of indices of the profile lists to be used for profiling. + colors: list of RGBA colors + colors for + legends: list of str + Legends for plotting + + Returns + ------- + profile_indices: list of integer values + corrected list of integer values specifying which profiles should be + plotted. + """ + + # ensure list of ids + if isinstance(profile_list_ids, int): + profile_list_ids = [profile_list_ids] + + # check if we have a single result + if isinstance(results, list): + if len(results) != 1: + # if we have no single result, then use the standard api + results, colors, legends = process_result_list( + results, colors, legends) + return results, profile_list_ids, colors, legends + else: + # a single results was provided, so make a list out of it + results = [results] + + # If we have a single result, we may still have multiple profile_list_ids + # which should be plotted separately: use profile_list_ids as results dummy + _, colors, legends = process_result_list( + profile_list_ids, colors, legends) + + return results, profile_list_ids, colors, legends + + +def process_profile_indices( + results: Sequence[Result], + profile_indices: Sequence[int], + profile_list_ids: Union[int, Sequence[int]]): + """ + Retrieves the indices of the parameter for which profiles should be + plotted later from a list of pypesto.ProfileResult objects + """ + + # get all parameter indices, for which profiles were computed + plottable_indices = set() + for result in results: + for profile_list_id in profile_list_ids: + # get parameter indices, for which profiles were computed + if profile_list_id < len(result.profile_result.list): + tmp_indices = [ + par_id for par_id, prof in + enumerate(result.profile_result.list[profile_list_id]) + if prof is not None] + # profile_indices should contain all parameter indices, + # for which in at least one of the results a profile exists + plottable_indices.update(tmp_indices) + plottable_indices = sorted(plottable_indices) + + # get the profiles, which should be plotted and sanitize, if not plottable + if profile_indices is None: + profile_indices = list(plottable_indices) + else: + for ind in profile_indices: + if ind not in plottable_indices: + profile_indices.remove(ind) + warn('Requested to plot profile for parameter index %i, ' + 'but profile has not been computed.' % ind) + + return profile_indices diff --git a/pypesto/visualize/sampling.py b/pypesto/visualize/sampling.py index 501ec0e6e..568cecbba 100644 --- a/pypesto/visualize/sampling.py +++ b/pypesto/visualize/sampling.py @@ -1,3 +1,4 @@ +import logging import matplotlib.pyplot as plt import matplotlib.axes import numpy as np @@ -8,11 +9,13 @@ from ..result import Result from ..sampling import McmcPtResult +logger = logging.getLogger(__name__) + def sampling_fval_trace( result: Result, i_chain: int = 0, - burn_in: int = None, + full_trace: bool = False, stepsize: int = 1, title: str = None, size: Tuple[float, float] = None, @@ -25,8 +28,8 @@ def sampling_fval_trace( The pyPESTO result object with filled sample result. i_chain: Which chain to plot. Default: First chain. - burn_in: - Index after burn-in phase, thus also the burn-in length. + full_trace: + Plot the full trace including warm up. Default: False. stepsize: Only one in `stepsize` values is plotted. title: @@ -41,13 +44,12 @@ def sampling_fval_trace( ax: The plot axes. """ - # TODO: get burn_in from results object - if burn_in is None: - burn_in = 0 # get data which should be plotted - _, params_fval, _, _ = get_data_to_plot( - result=result, i_chain=i_chain, burn_in=burn_in, stepsize=stepsize) + _, params_fval, _, _ = get_data_to_plot(result=result, + i_chain=i_chain, + stepsize=stepsize, + full_trace=full_trace) # set axes and figure if ax is None: @@ -57,9 +59,27 @@ def sampling_fval_trace( kwargs = {'edgecolor': "w", # for edge color 'linewidth': 0.3, 's': 10} + if full_trace: + kwargs['hue'] = "converged" + if len(params_fval[kwargs['hue']].unique()) == 1: + kwargs['palette'] = ["#477ccd"] + elif len(params_fval[kwargs['hue']].unique()) == 2: + kwargs['palette'] = ["#868686", "#477ccd"] + kwargs['legend'] = False + sns.scatterplot(x="iteration", y="logPosterior", data=params_fval, ax=ax, **kwargs) + if result.sample_result.burn_in is None: + _burn_in = 0 + else: + _burn_in = result.sample_result.burn_in + + if full_trace and _burn_in > 0: + ax.axvline(_burn_in, + linestyle='--', linewidth=1.5, + color='k') + ax.set_xlabel('iteration index') ax.set_ylabel('log-posterior') @@ -74,7 +94,7 @@ def sampling_fval_trace( def sampling_parameters_trace( result: Result, i_chain: int = 0, - burn_in: int = None, + full_trace: bool = False, stepsize: int = 1, use_problem_bounds: bool = True, suptitle: str = None, @@ -88,8 +108,8 @@ def sampling_parameters_trace( The pyPESTO result object with filled sample result. i_chain: Which chain to plot. Default: First chain. - burn_in: - Index after burn-in phase, thus also the burn-in length. + full_trace: + Plot the full trace including warm up. Default: False. stepsize: Only one in `stepsize` values is plotted. use_problem_bounds: @@ -107,13 +127,11 @@ def sampling_parameters_trace( ax: The plot axes. """ - # TODO: get burn_in from results object - if burn_in is None: - burn_in = 0 # get data which should be plotted nr_params, params_fval, theta_lb, theta_ub = get_data_to_plot( - result=result, i_chain=i_chain, burn_in=burn_in, stepsize=stepsize) + result=result, i_chain=i_chain, stepsize=stepsize, + full_trace=full_trace) param_names = params_fval.columns.values[0:nr_params] @@ -134,10 +152,29 @@ def sampling_parameters_trace( 'linewidth': 0.3, 's': 10} + if full_trace: + kwargs['hue'] = "converged" + if len(params_fval[kwargs['hue']].unique()) == 1: + kwargs['palette'] = ["#477ccd"] + elif len(params_fval[kwargs['hue']].unique()) == 2: + kwargs['palette'] = ["#868686", "#477ccd"] + kwargs['legend'] = False + + if result.sample_result.burn_in is None: + _burn_in = 0 + else: + _burn_in = result.sample_result.burn_in + for idx, plot_id in enumerate(param_names): ax = axes[plot_id] - ax = sns.scatterplot(x="iteration", y=plot_id, data=params_fval, ax=ax, - **kwargs) + + ax = sns.scatterplot(x="iteration", y=plot_id, data=params_fval, + ax=ax, **kwargs) + + if full_trace and _burn_in > 0: + ax.axvline(_burn_in, + linestyle='--', linewidth=1.5, + color='k') ax.set_xlabel('iteration index') ax.set_ylabel(param_names[idx]) @@ -156,7 +193,6 @@ def sampling_parameters_trace( def sampling_scatter( result: Result, i_chain: int = 0, - burn_in: int = None, stepsize: int = 1, suptitle: str = None, size: Tuple[float, float] = None): @@ -168,8 +204,6 @@ def sampling_scatter( The pyPESTO result object with filled sample result. i_chain: Which chain to plot. Default: First chain. - burn_in: - Index after burn-in phase, thus also the burn-in length. stepsize: Only one in `stepsize` values is plotted. suptitle: @@ -182,13 +216,10 @@ def sampling_scatter( ax: The plot axes. """ - # TODO: get burn_in from results object - if burn_in is None: - burn_in = 0 # get data which should be plotted nr_params, params_fval, theta_lb, theta_ub = get_data_to_plot( - result=result, i_chain=i_chain, burn_in=burn_in, stepsize=stepsize) + result=result, i_chain=i_chain, stepsize=stepsize) sns.set(style="ticks") @@ -207,7 +238,6 @@ def sampling_scatter( def sampling_1d_marginals( result: Result, i_chain: int = 0, - burn_in: int = None, stepsize: int = 1, plot_type: str = 'both', bw: str = 'scott', @@ -222,8 +252,6 @@ def sampling_1d_marginals( The pyPESTO result object with filled sample result. i_chain: Which chain to plot. Default: First chain. - burn_in: - Index after burn-in phase, thus also the burn-in length. stepsize: Only one in `stepsize` values is plotted. plot_type: {'hist'|'kde'|'both'} @@ -240,13 +268,10 @@ def sampling_1d_marginals( -------- ax: matplotlib-axes """ - # TODO: get burn_in from results object - if burn_in is None: - burn_in = 0 # get data which should be plotted nr_params, params_fval, theta_lb, theta_ub = get_data_to_plot( - result=result, i_chain=i_chain, burn_in=burn_in, stepsize=stepsize) + result=result, i_chain=i_chain, stepsize=stepsize) param_names = params_fval.columns.values[0:nr_params] # compute, how many rows and columns we need for the subplots @@ -282,7 +307,7 @@ def sampling_1d_marginals( def get_data_to_plot( - result: Result, i_chain: int, burn_in: int, stepsize: int): + result: Result, i_chain: int, stepsize: int, full_trace: bool = False): """Get the data which should be plotted as a pandas.DataFrame. Parameters @@ -291,20 +316,36 @@ def get_data_to_plot( The pyPESTO result object with filled sample result. i_chain: Which chain to plot. - burn_in: - Index after burn-in phase, thus also the burn-in length. stepsize: Only one in `stepsize` values is plotted. + full_trace: + Keep the full length of the chain. Default: False. """ # get parameters and fval results as numpy arrays - arr_param = np.array(result.sample_result['trace_x'][i_chain]) + arr_param = np.array(result.sample_result.trace_x[i_chain]) + + if result.sample_result.burn_in is None: + logger.warning("Burn in index not found in the results, " + "the full chain will be shown.\n" + "You may want to use, e.g., " + "'pypesto.sampling.geweke_test'.") + _burn_in = 0 + else: + _burn_in = result.sample_result.burn_in + + # Burn in index + if full_trace is False: + burn_in = _burn_in + else: + burn_in = 0 sample_result: McmcPtResult = result.sample_result # thin out by stepsize, from the index burn_in until end of vector arr_param = arr_param[np.arange(burn_in, len(arr_param), stepsize)] - arr_fval = np.array(sample_result.trace_fval[i_chain]) + # invert sign for log posterior values + arr_fval = - np.array(sample_result.trace_neglogpost[i_chain]) indices = np.arange(burn_in, len(arr_fval), stepsize) arr_fval = arr_fval[indices] theta_lb = result.problem.lb @@ -317,8 +358,17 @@ def get_data_to_plot( pd_fval = pd.DataFrame(data=arr_fval, columns=['logPosterior']) pd_iter = pd.DataFrame(data=indices, columns=['iteration']) - params_fval = pd.concat( - [pd_params, pd_fval, pd_iter], axis=1, ignore_index=False) + + if full_trace: + converged = np.zeros((len(arr_fval))) + converged[_burn_in:] = 1 + pd_conv = pd.DataFrame(data=converged, columns=['converged']) + + params_fval = pd.concat( + [pd_params, pd_fval, pd_iter, pd_conv], axis=1, ignore_index=False) + else: + params_fval = pd.concat( + [pd_params, pd_fval, pd_iter], axis=1, ignore_index=False) # some global parameters nr_params = arr_param.shape[1] # number of parameters diff --git a/readthedocs.yml b/readthedocs.yml index f984fcecf..aad577b4f 100644 --- a/readthedocs.yml +++ b/readthedocs.yml @@ -1,4 +1,4 @@ build: image: latest python: - version: 3.6 + version: 3.8 diff --git a/run_flake8.sh b/run_flake8.sh index 3ce2dadc6..6f2614419 100755 --- a/run_flake8.sh +++ b/run_flake8.sh @@ -2,4 +2,4 @@ python3 -m flake8 \ --exclude=build,doc,example,tmp,amici_models \ - --per-file-ignores='*/__init__.py:F401' + --per-file-ignores='*/__init__.py:F401 test/*:T001,S101' diff --git a/setup.py b/setup.py index 207c3a126..bb1f50f9d 100644 --- a/setup.py +++ b/setup.py @@ -28,9 +28,20 @@ def read(fname): 'pandas>=0.23.4', 'matplotlib>=2.2.3', 'seaborn>=0.10.0', - 'cloudpickle>=0.7.0'], - tests_require=['pytest', 'flake8>=3.7.1', 'gitpython'], - extras_require={'amici': ['amici>=0.10.21'], - 'petab': ['petab>=0.1.7']}, + 'cloudpickle>=0.7.0', + 'h5py>=2.10.0', + 'tqdm>=4.46.0'], + tests_require=['pytest>=5.4.2', + 'flake8>=3.7.2', + 'gitpython>=3.1.2'], + extras_require={'amici': ['amici>=0.11.1'], + 'petab': ['petab>=0.1.7'], + 'ipopt': ['ipopt>=0.1.9'], + 'dlib': ['dlib>=19.19.0'], + 'pyswarm': ['pyswarm>=0.6'], + 'pymc3': ['arviz>=0.8.1', + 'theano>=1.0.4', + 'packaging>=20.0', + 'pymc3>=3.8']}, python_requires='>=3.6', ) diff --git a/test/__init__.py b/test/__init__.py index e69de29bb..04750787e 100644 --- a/test/__init__.py +++ b/test/__init__.py @@ -0,0 +1 @@ +"""Unit tests for pyPESTO.""" diff --git a/test/test_aggregated.py b/test/test_aggregated.py index 5b51da5d2..41cb1213f 100644 --- a/test/test_aggregated.py +++ b/test/test_aggregated.py @@ -123,11 +123,6 @@ def test_exceptions(): rosen_for_sensi(2, False, [0, 1])['obj']) with pytest.raises(TypeError): pypesto.objective.AggregatedObjective([0.5]) - with pytest.raises(ValueError): - pypesto.objective.AggregatedObjective([ - rosen_for_sensi(2, False, [0, 1])['obj'], - rosen_for_sensi(2, True, [0, 1])['obj'] - ]) with pytest.raises(ValueError): pypesto.objective.AggregatedObjective([]) diff --git a/test/test_amici_objective.py b/test/test_amici_objective.py index 8438b4ac3..e6f4c2def 100644 --- a/test/test_amici_objective.py +++ b/test/test_amici_objective.py @@ -7,11 +7,12 @@ import petab import pypesto import pypesto.objective.constants +import pytest import numpy as np from test.petab_util import folder_base ATOL = 1e-2 -RTOL = 1e-2 +RTOL = 1e-1 def test_add_sim_grad_to_opt_grad(): @@ -43,6 +44,22 @@ def test_add_sim_grad_to_opt_grad(): assert expected == opt_grad +def test_error_leastsquares_with_ssigma(): + petab_problem = petab.Problem.from_yaml( + folder_base + "Zheng_PNAS2012/Zheng_PNAS2012.yaml") + petab_problem.model_name = "Zheng_PNAS2012" + importer = pypesto.PetabImporter(petab_problem) + obj = importer.create_objective() + problem = importer.create_problem(obj) + + optimizer = pypesto.ScipyOptimizer('ls_trf', options={'max_nfev': 50}) + with pytest.raises(RuntimeError): + pypesto.minimize( + problem=problem, optimizer=optimizer, n_starts=1, + options=pypesto.OptimizeOptions(allow_failed_starts=False) + ) + + def test_preeq_guesses(): """ Test whether optimization with preequilibration guesses works, asserts @@ -55,11 +72,11 @@ def test_preeq_guesses(): importer = pypesto.PetabImporter(petab_problem) obj = importer.create_objective() problem = importer.create_problem(obj) - optimizer = pypesto.ScipyOptimizer('ls_trf', options={'max_nfev': 50}) # assert that initial guess is uninformative assert problem.objective.steadystate_guesses['fval'] == np.inf + optimizer = pypesto.ScipyOptimizer('L-BFGS-B', options={'maxiter': 50}) result = pypesto.minimize( problem=problem, optimizer=optimizer, n_starts=1, ) diff --git a/test/test_history.py b/test/test_history.py index b8df040a6..9d57e47d8 100644 --- a/test/test_history.py +++ b/test/test_history.py @@ -5,96 +5,230 @@ import numpy as np import pytest import pypesto -from pypesto.objective.constants import FVAL, GRAD import unittest import tempfile from test.test_objective import rosen_for_sensi from test.test_sbml_conversion import load_model_objective from pypesto.objective.util import sres_to_schi2, res_to_chi2 +from pypesto import CsvHistory, HistoryOptions, MemoryHistory, ObjectiveBase +from pypesto.optimize.optimizer import read_result_from_file, OptimizerResult + +from pypesto.objective.constants import ( + FVAL, GRAD, HESS, RES, SRES, CHI2, SCHI2 +) + +from typing import Sequence class HistoryTest(unittest.TestCase): problem: pypesto.Problem = None optimizer: pypesto.Optimizer = None - obj: pypesto.Objective = None + obj: ObjectiveBase = None + history_options: HistoryOptions = None ub: np.ndarray = None lb: np.ndarray = None + x_fixed_indices = None + x_fixed_vals = None + fix_pars = True def check_history(self): - self.problem = pypesto.Problem(self.obj, self.lb, self.ub) + kwargs = { + 'objective': self.obj, + 'ub': self.ub, + 'lb': self.lb, + } + if self.fix_pars: + kwargs = {**kwargs, **{ + 'x_fixed_indices': self.x_fixed_indices, + 'x_fixed_vals': self.x_fixed_indices + }} + self.problem = pypesto.Problem(**kwargs) optimize_options = pypesto.OptimizeOptions( allow_failed_starts=False ) - history_options = pypesto.HistoryOptions( - trace_record=True, - trace_record_hess=False, - trace_save_iter=1, - storage_file='tmp/traces/conversion_example_{id}.csv', + self.history_options.trace_save_iter = 1 + + for storage_file in ['tmp/traces/conversion_example_{id}.csv', None]: + self.history_options.storage_file = storage_file + + result = pypesto.minimize( + problem=self.problem, + optimizer=self.optimizer, + n_starts=1, + startpoint_method=pypesto.startpoint.uniform, + options=optimize_options, + history_options=self.history_options + ) + + for istart, start in enumerate(result.optimize_result.list): + self.check_reconstruct_history(start, str(istart)) + self.check_load_from_file(start, str(istart)) + self.check_history_consistency(start) + + def check_load_from_file(self, start: OptimizerResult, id: str): + """Verify we can reconstitute OptimizerResult from csv file""" + + if isinstance(start.history, MemoryHistory): + return + + # TODO other implementations + assert isinstance(start.history, CsvHistory) + + rstart = read_result_from_file(self.problem, self.history_options, id) + + result_attributes = [ + key for key in start.keys() + if key not in ['history', 'message', 'exitflag', 'time'] + ] + for attr in result_attributes: + # if we didn't record we cant recover the value + if not self.history_options.get(f'trace_record_{attr}', True): + continue + + # note that we can expect slight deviations in grad when using + # a ls optimizer since history computes this from res + # with sensitivies activated while the optimizer uses a res + # without sensitivities activated. If this fails to often, + # increase atol + if start[attr] is None: + continue # reconstituted may carry more information + if attr in ['sres', 'grad', 'hess'] and rstart[attr] is None: + continue # may not always recover those + elif isinstance(start[attr], np.ndarray): + assert np.allclose( + start[attr], rstart[attr], + equal_nan=True, atol=1e-3 + ), attr + elif isinstance(start[attr], float): + assert np.isclose( + start[attr], rstart[attr], + equal_nan=True + ), attr + else: + assert start[attr] == rstart[attr], attr + + def check_reconstruct_history(self, start: OptimizerResult, id: str): + """verify we can reconstruct history objects from csv files""" + + if isinstance(start.history, MemoryHistory): + return + + # TODO other implementations + assert isinstance(start.history, CsvHistory) + + reconst_history = CsvHistory( + file=self.history_options.storage_file.format(id=id), + x_names=[self.problem.x_names[ix] + for ix in self.problem.x_free_indices], + options=self.history_options, + load_from_file=True ) - - result = pypesto.minimize( - problem=self.problem, - optimizer=self.optimizer, - n_starts=1, - startpoint_method=pypesto.startpoint.uniform, - options=optimize_options, - history_options=history_options - ) - # disable trace from here on - self.obj.history.options.trace_record = False - for start in result.optimize_result.list: - trace = start.history._trace - it_final = int(trace[('fval', np.NaN)].idxmin()) + history_attributes = [ + a for a in dir(start.history) + if not a.startswith('__') + and not callable(getattr(start.history, a)) + and a not in ['options', '_abc_impl', '_start_time', + 'start_time', '_trace', 'x_names'] + ] + for attr in history_attributes: + assert getattr(start.history, attr) == \ + getattr(reconst_history, attr), attr + + assert len(start.history._trace) == len(reconst_history._trace) + self.assertListEqual(start.history._trace.columns.to_list(), + reconst_history._trace.columns.to_list()) + for col in start.history._trace.columns: + for true_val, reconst_val in zip(start.history._trace[col], + reconst_history._trace[col]): + if true_val is None: + assert reconst_val is None, col + elif isinstance(true_val, float) and np.isnan(true_val): + assert np.isnan(reconst_val), col + else: + assert np.isclose(true_val, reconst_val).all(), col + + def check_history_consistency(self, start: OptimizerResult): + + # TODO other implementations + assert isinstance(start.history, (CsvHistory, MemoryHistory)) + + def xfull(x_trace): + return self.problem.get_full_vector( + x_trace, self.problem.x_fixed_vals + ) + + if isinstance(start.history, CsvHistory): + it_final = np.nanargmin(start.history.get_fval_trace()) + if isinstance(it_final, np.ndarray): + it_final = it_final[0] it_start = int(np.where(np.logical_not( - np.isnan(trace['fval'].values) + np.isnan(start.history.get_fval_trace()) ))[0][0]) - self.assertTrue(np.isclose( - trace['x'].values[0, :], start.x0 - ).all()) - self.assertTrue(np.isclose( - trace['x'].values[it_final, :], start.x - ).all()) - self.assertTrue(np.isclose( - trace['fval'].values[it_start, 0], start.fval0 + assert np.allclose( + xfull(start.history.get_x_trace(it_start)), start.x0) + assert np.allclose( + xfull(start.history.get_x_trace(it_final)), start.x) + assert np.isclose( + start.history.get_fval_trace(it_start), start.fval0) + + funs = { + FVAL: self.obj.get_fval, + GRAD: self.obj.get_grad, + HESS: self.obj.get_hess, + RES: self.obj.get_res, + SRES: self.obj.get_sres, + CHI2: lambda x: res_to_chi2(self.obj.get_res(x)), + SCHI2: lambda x: sres_to_schi2(*self.obj( + x, (0, 1,), + pypesto.objective.constants.MODE_RES )) - - funs = { - 'fval': self.obj.get_fval, - 'grad': self.obj.get_grad, - 'hess': self.obj.get_hess, - 'res': self.obj.get_res, - 'sres': self.obj.get_sres, - 'chi2': lambda x: res_to_chi2(self.obj.get_res(x)), - 'schi2': lambda x: sres_to_schi2(*self.obj( - x, - (0, 1,), - pypesto.objective.constants.MODE_RES - )) - } - for var, fun in funs.items(): - for it in range(5): - if var in ['fval', 'chi2']: - if not np.isnan(trace[var].values[it, 0]): - self.assertTrue(np.isclose( - trace[var].values[it, 0], - fun(trace['x'].values[it, :]) - )) - elif var in ['hess', 'sres', 'res']: - if trace[var].values[it, 0] is not None: - self.assertTrue(np.isclose( - trace[var].values[it, 0], - fun(trace['x'].values[it, :]) - ).all()) - elif self.obj.history.options[f'trace_record_{var}'] \ - and not \ - np.isnan(trace[var].values[it, :]).all(): - self.assertTrue(np.isclose( - trace[var].values[it, :], - fun(trace['x'].values[it, :]) - ).all()) + } + for var, fun in funs.items(): + for it in range(5): + x_full = xfull(start.history.get_x_trace(it)) + val = getattr(start.history, f'get_{var}_trace')(it) + if not getattr(self.history_options, f'trace_record_{var}', + True): + assert np.isnan(val) + continue + if np.all(np.isnan(val)): + continue + if var in [FVAL, CHI2]: + # note that we can expect slight deviations here since + # this fval/chi2 may be computed without sensitivities + # while the result here may be computed with with + # sensitivies activated. If this fails to often, + # increase atol/rtol + assert np.isclose( + val, fun(x_full), + rtol=1e-3, atol=1e-4 + ), var + elif var in [RES]: + # note that we can expect slight deviations here since + # this res is computed without sensitivities while the + # result here may be computed with with sensitivies + # activated. If this fails to often, increase atol/rtol + assert np.allclose( + val, fun(x_full), + rtol=1e-3, atol=1e-4 + ), var + elif var in [SRES]: + assert np.allclose( + val, fun(x_full)[:, self.problem.x_free_indices], + ), var + elif var in [GRAD, SCHI2]: + assert np.allclose( + val, self.problem.get_reduced_vector(fun(x_full)), + ), var + elif var in [HESS]: + assert np.allclose( + val, self.problem.get_reduced_matrix(fun(x_full)), + ), var + else: + raise RuntimeError('missing test implementation') class ResModeHistoryTest(HistoryTest): @@ -110,9 +244,11 @@ def setUpClass(cls): cls.lb = -2 * np.ones((1, 2)) cls.ub = 2 * np.ones((1, 2)) + cls.x_fixed_indices = [0] + cls.x_fixed_vals = [-0.3] def test_trace_chi2(self): - self.obj.history.options = pypesto.HistoryOptions( + self.history_options = HistoryOptions( trace_record=True, trace_record_chi2=True, trace_record_schi2=False, @@ -121,7 +257,7 @@ def test_trace_chi2(self): self.check_history() def test_trace_chi2_schi2(self): - self.obj.history.options = pypesto.HistoryOptions( + self.history_options = HistoryOptions( trace_record=True, trace_record_chi2=True, trace_record_schi2=True, @@ -130,7 +266,7 @@ def test_trace_chi2_schi2(self): self.check_history() def test_trace_schi2(self): - self.obj.history.options = pypesto.HistoryOptions( + self.history_options = HistoryOptions( trace_record=True, trace_record_chi2=True, trace_record_schi2=False, @@ -139,7 +275,7 @@ def test_trace_schi2(self): self.check_history() def test_trace_grad(self): - self.obj.history.options = pypesto.HistoryOptions( + self.history_options = HistoryOptions( trace_record=True, trace_record_grad=True, ) @@ -147,7 +283,21 @@ def test_trace_grad(self): self.check_history() def test_trace_all(self): - history = pypesto.MemoryHistory(options=pypesto.HistoryOptions( + self.history_options = HistoryOptions( + trace_record=True, + trace_record_grad=True, + trace_record_hess=True, + trace_record_res=True, + trace_record_sres=True, + trace_record_chi2=True, + trace_record_schi2=True, + ) + + self.fix_pars = False + self.check_history() + + def test_trace_all_aggregated(self): + self.history_options = HistoryOptions( trace_record=True, trace_record_grad=True, trace_record_hess=True, @@ -155,9 +305,10 @@ def test_trace_all(self): trace_record_sres=True, trace_record_chi2=True, trace_record_schi2=True, - )) - self.obj.history = history + ) + self.obj = pypesto.objective.AggregatedObjective([self.obj, self.obj]) + self.fix_pars = False self.check_history() @@ -171,6 +322,8 @@ def setUpClass(cls): cls.lb = 0 * np.ones((1, 2)) cls.ub = 1 * np.ones((1, 2)) + cls.x_fixed_indices = [0] + cls.x_fixed_vals = [0.0] def test_trace_grad(self): self.obj = rosen_for_sensi( @@ -178,7 +331,7 @@ def test_trace_grad(self): integrated=False )['obj'] - self.obj.history.options = pypesto.objective.HistoryOptions( + self.history_options = HistoryOptions( trace_record=True, trace_record_grad=True, trace_record_hess=False, @@ -192,7 +345,7 @@ def test_trace_grad_integrated(self): integrated=True )['obj'] - self.obj.history.options = pypesto.objective.HistoryOptions( + self.history_options = HistoryOptions( trace_record=True, trace_record_grad=True, trace_record_hess=False, @@ -206,7 +359,7 @@ def test_trace_all(self): integrated=True )['obj'] - self.obj.history.options = pypesto.objective.HistoryOptions( + self.history_options = HistoryOptions( trace_record=True, trace_record_grad=True, trace_record_hess=True, @@ -215,7 +368,26 @@ def test_trace_all(self): trace_record_chi2=True, trace_record_schi2=True, ) + self.fix_pars = False + self.check_history() + def test_trace_all_aggregated(self): + self.obj = rosen_for_sensi( + max_sensi_order=2, + integrated=True + )['obj'] + + self.history_options = HistoryOptions( + trace_record=True, + trace_record_grad=True, + trace_record_hess=True, + trace_record_res=True, + trace_record_sres=True, + trace_record_chi2=True, + trace_record_schi2=True, + ) + self.obj = pypesto.objective.AggregatedObjective([self.obj, self.obj]) + self.fix_pars = False self.check_history() @@ -251,7 +423,7 @@ def test_history_properties(history: pypesto.History): assert all(np.isfinite(fvals)) if type(history) in \ - (pypesto.History, pypesto.CsvHistory, pypesto.Hdf5History): + (pypesto.History, pypesto.Hdf5History): # TODO update as functionality is implemented with pytest.raises(NotImplementedError): history.get_grad_trace() @@ -260,13 +432,45 @@ def test_history_properties(history: pypesto.History): assert len(grads) == 10 assert len(grads[0]) == 7 - if type(history) in \ - (pypesto.MemoryHistory,): + if isinstance(history, (pypesto.MemoryHistory, pypesto.CsvHistory)): # TODO extend as functionality is implemented in other histories # assert x values are not all the same xs = np.array(history.get_x_trace()) - assert (xs[:-1] != xs[-1]).all() + assert np.all(xs[:-1] != xs[-1]) ress = history.get_res_trace() - assert all(res is None for res in ress) + assert all(np.isnan(res) for res in ress) + + +def test_trace_subset(history: pypesto.History): + """Test whether selecting only a trace subset works.""" + if isinstance(history, (pypesto.MemoryHistory, pypesto.CsvHistory)): + arr = list(range(0, len(history), 2)) + + for var in ['fval', 'grad', 'hess', 'res', 'sres', 'chi2', + 'schi2', 'x', 'time']: + getter = getattr(history, f'get_{var}_trace') + full_trace = getter() + partial_trace = getter(arr) + + # check partial traces coincide + assert len(partial_trace) == len(arr) + for a, b in zip(partial_trace, [full_trace[i] for i in arr]): + print(var, a, b) + if var != 'schi2': + assert np.all(a == b) or np.isnan(a) and np.isnan(b) + else: + assert np.all(a == b) or np.all(np.isnan(a)) \ + and np.all(np.isnan(b)) + + # check sequence type + assert isinstance(full_trace, Sequence) + assert isinstance(partial_trace, Sequence) + + # check individual type + val = getter(0) + if var in ['fval', 'chi2', 'time']: + assert isinstance(val, float) + else: + assert isinstance(val, np.ndarray) or np.isnan(val) diff --git a/test/test_optimize.py b/test/test_optimize.py index d7f9a5b2e..25c4facc6 100644 --- a/test/test_optimize.py +++ b/test/test_optimize.py @@ -23,6 +23,7 @@ def mode(request): 'trust-ncg', 'trust-exact', 'trust-krylov', 'ls_trf', 'ls_dogbox']], # disabled: ,'trust-constr', 'ls_lm', 'dogleg' + ('ipopt', ''), ('dlib', 'default'), ('pyswarm', ''), ] @@ -67,6 +68,8 @@ def check_minimize(objective, library, solver, allow_failed_starts=False): if library == 'scipy': optimizer = pypesto.ScipyOptimizer(method=solver, options=options) + elif library == 'ipopt': + optimizer = pypesto.IpoptOptimizer() elif library == 'dlib': optimizer = pypesto.DlibOptimizer(method=solver, options=options) diff --git a/test/test_petab_import.py b/test/test_petab_import.py index d3f4bdd11..e2d6c7ac2 100644 --- a/test/test_petab_import.py +++ b/test/test_petab_import.py @@ -1,4 +1,3 @@ - """ This is for testing the petab import. """ diff --git a/test/test_prior.py b/test/test_prior.py new file mode 100644 index 000000000..ef2ff9f73 --- /dev/null +++ b/test/test_prior.py @@ -0,0 +1,124 @@ + +""" +This is for testing priors. +""" + +import math +import itertools +import numpy as np +import scipy.optimize as opt + +import pypesto +from pypesto.objective import NegLogParameterPriors +from pypesto.objective.priors import get_parameter_prior_dict + + +def test_mode(): + """ + Tests the maximum/optimum for priors in different scales... + """ + + scales = ['lin', 'log', 'log10'] + prior_types = ['normal', 'laplace', + 'logNormal'] + + problem_dict = {'lin': {'lb': [0], 'ub': [10], 'opt': [1]}, + 'log': {'lb': [-3], 'ub': [3], 'opt': [0]}, + 'log10': {'lb': [-3], 'ub': [2], 'opt': [0]}} + + for prior_type, scale in itertools.product(prior_types, scales): + + prior_list = [get_parameter_prior_dict( + 0, prior_type, [1, 1], scale)] + + test_prior = NegLogParameterPriors(prior_list) + test_problem = pypesto.Problem(test_prior, + lb=problem_dict[scale]['lb'], + ub=problem_dict[scale]['ub'], + dim_full=1, + x_scales=[scale]) + + optimizer = pypesto.ScipyOptimizer(method='Nelder-Mead') + + result = pypesto.minimize(problem=test_problem, + optimizer=optimizer, + n_starts=10) + + assert np.isclose(result.optimize_result.list[0]['x'], + problem_dict[scale]['opt'], atol=1e-04) + + # test uniform distribution: + for scale in scales: + prior_dict = get_parameter_prior_dict( + 0, 'uniform', [1, 2], scale) + + # check inside and outside of interval + assert abs(prior_dict['density_fun'](lin_to_scaled(.5, scale)) + - 0) < 1e-8 + + assert abs(prior_dict['density_fun'](lin_to_scaled(1.5, scale)) + - math.log(1)) < 1e-8 + + assert abs(prior_dict['density_fun'](lin_to_scaled(2.5, scale)) + - 0) < 1e-8 + + +def test_derivatives(): + """ + Tests the finite gradients and second order derivatives. + """ + + scales = ['lin', 'log', 'log10'] + prior_types = ['uniform', 'normal', 'laplace', 'logNormal'] + + for prior_type, scale in itertools.product(prior_types, scales): + + if prior_type == 'uniform': + prior_parameters = [-1, 1] + else: + prior_parameters = [1, 1] + + prior_dict = get_parameter_prior_dict( + 0, prior_type, prior_parameters, scale) + + # use this x0, since it is a moderate value both in linear + # and in log scale... + x0 = np.array([0.5]) + + err_grad = opt.check_grad(prior_dict['density_fun'], + prior_dict['density_dx'], x0) + err_hes = opt.check_grad(prior_dict['density_dx'], + prior_dict['density_ddx'], x0) + + assert err_grad < 1e-3 + assert err_hes < 1e-3 + + +def lin_to_scaled(x: float, + scale: str): + """ + transforms x to linear scale + """ + if scale == 'lin': + return x + elif scale == 'log': + return math.log(x) + elif scale == 'log10': + return math.log10(x) + else: + ValueError(f'Unknown scale {scale}') + + +def scaled_to_lin(x: float, + scale: str): + """ + transforms x to scale + """ + if scale == 'lin': + return x + elif scale == 'log': + return math.exp(x) + elif scale == 'log10': + return 10**x + else: + ValueError(f'Unknown scale {scale}') diff --git a/test/test_problem.py b/test/test_problem.py new file mode 100644 index 000000000..0ea2d7bbe --- /dev/null +++ b/test/test_problem.py @@ -0,0 +1,53 @@ +import pytest + +import pypesto + + +@pytest.fixture +def problem(): + """A very basic problem.""" + lb = [-5] * 10 + ub = [6] * 10 + objective = pypesto.Objective() + problem = pypesto.Problem( + objective=objective, lb=lb, ub=ub, x_fixed_indices=[0, 1, 5], + x_fixed_vals=[42, 43, 44]) + return problem + + +def test_dim_vs_dim_full(): + """Test passing arrays in the full or reduced dimension.""" + objective = pypesto.Objective() + + # define problem with bounds including fixed parameters + pypesto.Problem( + objective=objective, lb=[-1] * 4, ub=[1] * 4, dim_full=4, + x_fixed_indices=[0, 3], x_fixed_vals=[42, 43] + ) + + # define problem with incomplete bounds + pypesto.Problem( + objective=objective, lb=[-1] * 2, ub=[1] * 2, dim_full=4, + x_fixed_indices=[0, 3], x_fixed_vals=[42, 43] + ) + + +def test_fix_parameters(problem): + """Test the dynamic problem parameter fixing functions.""" + problem.fix_parameters(2, 45) + assert problem.x_fixed_indices == [0, 1, 5, 2] + assert problem.x_fixed_vals == [42, 43, 44, 45] + assert problem.x_free_indices == [3, 4, 6, 7, 8, 9] + + problem.unfix_parameters(2) + assert problem.x_fixed_indices == [0, 1, 5] + assert problem.x_fixed_vals == [42, 43, 44] + assert problem.x_free_indices == [2, 3, 4, 6, 7, 8, 9] + + +def test_full_index_to_free_index(problem): + """Test problem.full_index_to_free_index.""" + assert problem.full_index_to_free_index(2) == 0 + assert problem.full_index_to_free_index(6) == 3 + with pytest.raises(ValueError): + problem.full_index_to_free_index(5) diff --git a/test/test_profile.py b/test/test_profile.py index 573d051f7..64c01dda2 100644 --- a/test/test_profile.py +++ b/test/test_profile.py @@ -6,16 +6,18 @@ import pypesto import unittest import test.test_objective as test_objective +from copy import deepcopy import warnings -from pypesto.objective import Objective +from pypesto import ObjectiveBase +from .visualize import close_fig class ProfilerTest(unittest.TestCase): @classmethod def setUp(cls): - cls.objective: Objective = test_objective.rosen_for_sensi( + cls.objective: ObjectiveBase = test_objective.rosen_for_sensi( max_sensi_order=2, integrated=True )['obj'] @@ -24,11 +26,12 @@ def setUp(cls): (cls.problem, cls.result, cls.optimizer) = \ create_optimization_results(cls.objective) + @close_fig def test_default_profiling(self): # loop over methods for creating new initial guesses - method_list = [None, 'fixed_step', 'adaptive_step_order_0', + method_list = ['fixed_step', 'adaptive_step_order_0', 'adaptive_step_order_1', 'adaptive_step_regression'] - for method in method_list: + for i_run, method in enumerate(method_list): # run profiling result = pypesto.parameter_profile(problem=self.problem, result=self.result, @@ -37,11 +40,13 @@ def test_default_profiling(self): # check result self.assertTrue( - isinstance(result.profile_result.list[0][0], + isinstance(result.profile_result.list[i_run][0], pypesto.ProfilerResult)) + self.assertEqual(len(result.profile_result.list), i_run+1) + self.assertEqual(len(result.profile_result.list[i_run]), 2) # check whether profiling needed maybe too many steps - steps = result.profile_result.list[0][0]['ratio_path'].size + steps = result.profile_result.list[i_run][0]['ratio_path'].size if method == 'adaptive_step_regression': self.assertTrue(steps < 20, 'Profiling with regression based ' 'proposal needed too many steps.') @@ -58,6 +63,10 @@ def test_default_profiling(self): self.assertTrue(steps > 1, 'Profiling with 0th order based ' 'proposal needed not enough steps.') + # standard plotting + pypesto.visualize.profiles(result, profile_list_ids=i_run) + pypesto.visualize.profile_cis(result, profile_list=i_run) + def test_selected_profiling(self): # create options in order to ensure a short computation time options = pypesto.ProfileOptions(default_step_size=0.02, @@ -115,8 +124,8 @@ def test_extending_profiles(self): next_guess_method='fixed_step') # set new bounds (knowing that one parameter stopped at the bounds - self.problem.lb = -4 * np.ones((1, 2)) - self.problem.ub = 4 * np.ones((1, 2)) + self.problem.lb_full = -4 * np.ones(2) + self.problem.ub_full = 4 * np.ones(2) # re-run profiling using new bounds result = pypesto.parameter_profile(problem=self.problem, @@ -133,6 +142,27 @@ def test_extending_profiles(self): isinstance(result.profile_result.list[0][1], pypesto.ProfilerResult)) + def test_approximate_profiles(self): + """Test for the approximate profile function.""" + n_steps = 50 + assert self.result.optimize_result.list[0].hess is None + result = pypesto.profile.approximate_parameter_profile( + problem=self.problem, result=self.result, profile_index=[0, 1], + n_steps=n_steps) + profile_list = result.profile_result.list[-1] + assert profile_list[0] is None + assert isinstance(profile_list[1], pypesto.profile.ProfilerResult) + assert np.isclose(profile_list[1].ratio_path.max(), 1) + assert len(profile_list[1].ratio_path) == n_steps + assert profile_list[1].x_path.shape == (2, n_steps) + + # with pre-defined hessian + result = deepcopy(self.result) + result.optimize_result.list[0].hess = np.array([[2, 0], [0, 1]]) + pypesto.profile.approximate_parameter_profile( + problem=self.problem, result=result, profile_index=[0, 1], + n_steps=n_steps) + # dont make this a class method such that we dont optimize twice def test_profile_with_history(): @@ -160,6 +190,34 @@ def test_profile_with_history(): ) +@close_fig +def test_profile_with_fixed_parameters(): + """Test using profiles with fixed parameters.""" + obj = test_objective.rosen_for_sensi(max_sensi_order=1)['obj'] + + lb = -2 * np.ones(5) + ub = 2 * np.ones(5) + problem = pypesto.Problem( + objective=obj, lb=lb, ub=ub, + x_fixed_vals=[0.5, -1.8], x_fixed_indices=[0, 3]) + + optimizer = pypesto.ScipyOptimizer(options={'maxiter': 50}) + result = pypesto.minimize(problem=problem, optimizer=optimizer, n_starts=2) + + for i_method, next_guess_method in enumerate([ + 'fixed_step', 'adaptive_step_order_0', + 'adaptive_step_order_1', 'adaptive_step_regression']): + print(next_guess_method) + pypesto.parameter_profile( + problem=problem, result=result, optimizer=optimizer, + next_guess_method=next_guess_method) + + # standard plotting + axes = pypesto.visualize.profiles(result, profile_list_ids=i_method) + assert len(axes) == 3 + pypesto.visualize.profile_cis(result, profile_list=i_method) + + def create_optimization_results(objective): # create optimizer, pypesto problem and options options = { @@ -168,8 +226,8 @@ def create_optimization_results(objective): optimizer = pypesto.ScipyOptimizer(method='TNC', options=options) - lb = -2 * np.ones((1, 2)) - ub = 2 * np.ones((1, 2)) + lb = -2 * np.ones(2) + ub = 2 * np.ones(2) problem = pypesto.Problem(objective, lb, ub) optimize_options = pypesto.OptimizeOptions(allow_failed_starts=True) @@ -184,3 +242,37 @@ def create_optimization_results(objective): ) return problem, result, optimizer + + +def test_chi2_quantile_to_ratio(): + """Tests the chi2 quantile to ratio convenience function.""" + ratio = pypesto.profile.chi2_quantile_to_ratio() + assert np.isclose(ratio, 0.1465) + + +def test_approximate_ci(): + xs = np.array([-3, -1, 1, 3, 5, 7, 9]) + + ratios = np.array([0.2, 0.3, 1, 0.27, 0.15, 0.15, 0.1]) + + lb, ub = pypesto.profile.calculate_approximate_ci( + xs=xs, ratios=ratios, confidence_ratio=0.27) + + # correct interpolation + assert np.isclose(lb, -3 + (-1 - (-3)) * 0.7) + + # exact pick + assert np.isclose(ub, 3) + + lb, ub = pypesto.profile.calculate_approximate_ci( + xs=xs, ratios=ratios, confidence_ratio=0.15) + + # double value + assert np.isclose(ub, 7) + + lb, ub = pypesto.profile.calculate_approximate_ci( + xs=xs, ratios=ratios, confidence_ratio=0.1) + + # bound value + assert np.isclose(lb, -3) + assert np.isclose(ub, 9) diff --git a/test/test_sampling.py b/test/test_sampling.py index 01ec3bec0..2817e0624 100644 --- a/test/test_sampling.py +++ b/test/test_sampling.py @@ -3,12 +3,13 @@ """ import numpy as np -from scipy.stats import multivariate_normal, norm, kstest +from scipy.stats import multivariate_normal, norm, kstest, ks_2samp, uniform import scipy.optimize as so import matplotlib.pyplot as plt import pytest import pypesto +from pypesto.objective import NegLogPriors def gaussian_llh(x): @@ -41,6 +42,23 @@ def nllh(x): return problem +def gaussian_mixture_separated_modes_llh(x): + return np.log( + 0.5*multivariate_normal.pdf(x, mean=-1., cov=0.7) + + 0.5*multivariate_normal.pdf(x, mean=100., cov=0.8)) + + +def gaussian_mixture_separated_modes_problem(): + """Problem based on a mixture of gaussians with far/separated modes.""" + def nllh(x): + return - gaussian_mixture_separated_modes_llh(x) + + objective = pypesto.Objective(fun=nllh) + problem = pypesto.Problem(objective=objective, lb=[-100], ub=[200], + x_names=['x']) + return problem + + def rosenbrock_problem(): """Problem based on rosenbrock objective.""" objective = pypesto.Objective(fun=so.rosen) @@ -53,10 +71,27 @@ def rosenbrock_problem(): return problem +def prior(x): + return multivariate_normal.pdf(x, mean=-1., cov=0.7) + + +def likelihood(x): + return uniform.pdf(x, loc=-10., scale=20.)[0] + + +def negative_log_posterior(x): + return - np.log(likelihood(x)) - np.log(prior(x)) + + +def negative_log_prior(x): + return - np.log(prior(x)) + + @pytest.fixture(params=['Metropolis', 'AdaptiveMetropolis', 'ParallelTempering', - 'AdaptiveParallelTempering']) + 'AdaptiveParallelTempering', + 'Pymc3']) def sampler(request): if request.param == 'Metropolis': return pypesto.MetropolisSampler() @@ -70,6 +105,8 @@ def sampler(request): return pypesto.AdaptiveParallelTemperingSampler( internal_sampler=pypesto.AdaptiveMetropolisSampler(), n_chains=5) + elif request.param == 'Pymc3': + return pypesto.Pymc3Sampler(tune=5) @pytest.fixture(params=['gaussian', 'gaussian_mixture', 'rosenbrock']) @@ -90,7 +127,7 @@ def test_pipeline(sampler, problem): # sampling result = pypesto.sample( - problem, sampler=sampler, n_samples=20, result=result) + problem, sampler=sampler, n_samples=100, result=result) # some plot pypesto.visualize.sampling_1d_marginals(result) @@ -98,6 +135,7 @@ def test_pipeline(sampler, problem): def test_ground_truth(): + """Test whether we actually retrieve correct distributions.""" # use best self-implemented sampler, which has a chance of correctly # sampling from the distribution sampler = pypesto.AdaptiveParallelTemperingSampler( @@ -124,6 +162,87 @@ def test_ground_truth(): assert statistic > 0.1 +def test_ground_truth_separated_modes(): + """Test whether we actually retrieve correct distributions.""" + # use best self-implemented sampler, which has a chance of correctly + # sampling from the distribution + + # First use parallel tempering with 3 chains + sampler = pypesto.AdaptiveParallelTemperingSampler( + internal_sampler=pypesto.AdaptiveMetropolisSampler(), n_chains=3) + + problem = gaussian_mixture_separated_modes_problem() + + result = pypesto.sample(problem, n_samples=1e4, + sampler=sampler, + x0=np.array([0.])) + + # get samples of first chain + samples = result.sample_result.trace_x[0, :, 0] + + # generate bimodal ground-truth samples + # "first" mode centered at -1 + rvs1 = norm.rvs(size=5000, loc=-1., scale=np.sqrt(0.7)) + # "second" mode centered at 100 + rvs2 = norm.rvs(size=5001, loc=100., scale=np.sqrt(0.8)) + + # test for distribution similarity + statistic, pval = ks_2samp(np.concatenate([rvs1, rvs2]), + samples) + + # only parallel tempering finds both modes + print(statistic, pval) + assert statistic < 0.1 + + # sample using adaptive metropolis (single-chain) + # initiated around the "first" mode of the distribution + sampler = pypesto.AdaptiveMetropolisSampler() + result = pypesto.sample(problem, n_samples=1e4, + sampler=sampler, + x0=np.array([-2.])) + + # get samples of first chain + samples = result.sample_result.trace_x[0, :, 0] + + # test for distribution similarity + statistic, pval = ks_2samp(np.concatenate([rvs1, rvs2]), + samples) + + # single-chain adaptive metropolis does not find both modes + print(statistic, pval) + assert statistic > 0.1 + + # actually centered at the "first" mode + statistic, pval = ks_2samp(rvs1, samples) + + print(statistic, pval) + assert statistic < 0.1 + + # sample using adaptive metropolis (single-chain) + # initiated around the "second" mode of the distribution + sampler = pypesto.AdaptiveMetropolisSampler() + result = pypesto.sample(problem, n_samples=1e4, + sampler=sampler, + x0=np.array([120.])) + + # get samples of first chain + samples = result.sample_result.trace_x[0, :, 0] + + # test for distribution similarity + statistic, pval = ks_2samp(np.concatenate([rvs1, rvs2]), + samples) + + # single-chain adaptive metropolis does not find both modes + print(statistic, pval) + assert statistic > 0.1 + + # actually centered at the "second" mode + statistic, pval = ks_2samp(rvs2, samples) + + print(statistic, pval) + assert statistic < 0.1 + + def test_multiple_startpoints(): problem = gaussian_problem() x0s = [np.array([0]), np.array([1])] @@ -133,7 +252,7 @@ def test_multiple_startpoints(): ) result = pypesto.sample(problem, n_samples=10, x0=x0s, sampler=sampler) - assert result.sample_result.trace_fval.shape[0] == 2 + assert result.sample_result.trace_neglogpost.shape[0] == 2 assert [result.sample_result.trace_x[0][0], result.sample_result.trace_x[1][0]] == x0s @@ -148,3 +267,106 @@ def test_regularize_covariance(): reg = pypesto.sampling.adaptive_metropolis.regularize_covariance( matrix, 1e-6) assert np.all(np.linalg.eigvals(reg) >= 0) + + +def test_geweke_test_switch(): + """Check geweke test returns expected burn in index.""" + warm_up = np.zeros((100, 2)) + converged = np.ones((901, 2)) + chain = np.concatenate((warm_up, converged), axis=0) + burn_in = pypesto.sampling.diagnostics.burn_in_by_sequential_geweke( + chain=chain) + assert burn_in == 100 + + +def test_geweke_test_switch_short(): + """Check geweke test returns expected burn in index + for small sample numbers.""" + warm_up = np.zeros((25, 2)) + converged = np.ones((75, 2)) + chain = np.concatenate((warm_up, converged), axis=0) + burn_in = pypesto.sampling.diagnostics.burn_in_by_sequential_geweke( + chain=chain) + assert burn_in == 25 + + +def test_geweke_test_unconverged(): + """Check that the geweke test reacts nicely to small sample numbers.""" + problem = gaussian_problem() + + sampler = pypesto.MetropolisSampler() + + # optimization + result = pypesto.minimize(problem, n_starts=3) + + # sampling + result = pypesto.sample( + problem, sampler=sampler, n_samples=100, result=result) + + # run geweke test (should not fail!) + pypesto.sampling.geweke_test(result) + + +def test_empty_prior(): + """Check that priors are zero when none are defined.""" + # define negative log posterior + posterior_fun = pypesto.Objective(fun=negative_log_posterior) + + # define pypesto problem without prior object + test_problem = pypesto.Problem(objective=posterior_fun, + lb=-10, ub=10, + x_names=['x']) + + sampler = pypesto.AdaptiveMetropolisSampler() + + result = pypesto.sample(test_problem, n_samples=50, + sampler=sampler, + x0=np.array([0.])) + + # get log prior values of first chain + logprior_trace = -result.sample_result.trace_neglogprior[0, :] + + # check that all entries are zero + assert (logprior_trace == 0.).all() + + +def test_prior(): + """Check that priors are defined in sampling.""" + # define negative log posterior + posterior_fun = pypesto.Objective(fun=negative_log_posterior) + + # define negative log prior + prior_fun = pypesto.Objective(fun=negative_log_prior) + + # define pypesto prior object + prior_object = NegLogPriors(objectives=[prior_fun]) + + # define pypesto problem using prior object + test_problem = pypesto.Problem(objective=posterior_fun, + x_priors_defs=prior_object, + lb=-10, ub=10, + x_names=['x']) + + sampler = pypesto.AdaptiveMetropolisSampler() + + result = pypesto.sample(test_problem, n_samples=1e4, + sampler=sampler, + x0=np.array([0.])) + + # get log prior values of first chain + logprior_trace = -result.sample_result.trace_neglogprior[0, :] + + # check that not all entries are zero + assert (logprior_trace != 0.).any() + + # get samples of first chain + samples = result.sample_result.trace_x[0, :, 0] + + # generate ground-truth samples + rvs = norm.rvs(size=5000, loc=-1., scale=np.sqrt(0.7)) + + # check sample distribution agreement with the ground-truth + statistic, pval = ks_2samp(rvs, samples) + print(statistic, pval) + + assert statistic < 0.1 diff --git a/test/test_startpoint.py b/test/test_startpoint.py index 24072e241..8ebb33f2d 100644 --- a/test/test_startpoint.py +++ b/test/test_startpoint.py @@ -12,6 +12,8 @@ def test_uniform(): xs = pypesto.startpoint.uniform(n_starts=n_starts, lb=lb, ub=ub) assert xs.shape == (5, 2) + assert np.all(xs >= lb) + assert np.all(xs <= ub) def test_latin_hypercube(): diff --git a/test/test_storage.py b/test/test_storage.py index a8f05deda..abdb53313 100644 --- a/test/test_storage.py +++ b/test/test_storage.py @@ -1,22 +1,25 @@ """ This is for testing the pypesto.Storage. """ +import os import tempfile + import numpy as np -from .visualize.test_visualize import create_problem, \ - create_optimization_result + from pypesto.storage import ( ProblemHDF5Writer, ProblemHDF5Reader, OptimizationResultHDF5Writer, OptimizationResultHDF5Reader) +from .visualize.test_visualize import create_problem, \ + create_optimization_result def test_storage_opt_result(): minimize_result = create_optimization_result() - with tempfile.TemporaryDirectory(dir=f".") as tmpdirname: - _, fn = tempfile.mkstemp(".hdf5", dir=f"{tmpdirname}") - opt_result_writer = OptimizationResultHDF5Writer(fn) + with tempfile.TemporaryDirectory(dir=".") as tmpdirname: + result_file_name = os.path.join(tmpdirname, "a", "b", "result.h5") + opt_result_writer = OptimizationResultHDF5Writer(result_file_name) opt_result_writer.write(minimize_result) - opt_result_reader = OptimizationResultHDF5Reader(fn) + opt_result_reader = OptimizationResultHDF5Reader(result_file_name) read_result = opt_result_reader.read() for i, opt_res in enumerate(minimize_result.optimize_result.list): for key in opt_res: @@ -29,9 +32,30 @@ def test_storage_opt_result(): read_result.optimize_result.list[i][key] +def test_storage_opt_result_update(): + minimize_result = create_optimization_result() + minimize_result_2 = create_optimization_result() + with tempfile.TemporaryDirectory(dir=".") as tmpdirname: + result_file_name = os.path.join(tmpdirname, "a", "b", "result.h5") + opt_result_writer = OptimizationResultHDF5Writer(result_file_name) + opt_result_writer.write(minimize_result) + opt_result_writer.write(minimize_result_2, overwrite=True) + opt_result_reader = OptimizationResultHDF5Reader(result_file_name) + read_result = opt_result_reader.read() + for i, opt_res in enumerate(minimize_result_2.optimize_result.list): + for key in opt_res: + if isinstance(opt_res[key], np.ndarray): + np.testing.assert_array_equal( + opt_res[key], + read_result.optimize_result.list[i][key]) + else: + assert opt_res[key] == \ + read_result.optimize_result.list[i][key] + + def test_storage_problem(): problem = create_problem() - with tempfile.TemporaryDirectory(dir=f".") as tmpdirname: + with tempfile.TemporaryDirectory(dir=".") as tmpdirname: _, fn = tempfile.mkstemp(".hdf5", dir=f"{tmpdirname}") problem_writer = ProblemHDF5Writer(fn) problem_writer.write(problem) @@ -41,10 +65,12 @@ def test_storage_problem(): vars(ProblemHDF5Writer).items() if not name.startswith('_') and not callable(value)] for attr in problem_attrs: - if isinstance(read_problem.__dict__[attr], np.ndarray): + if isinstance(problem.__dict__[attr], np.ndarray): np.testing.assert_array_equal( problem.__dict__[attr], read_problem.__dict__[attr]) + assert isinstance(read_problem.__dict__[attr], np.ndarray) else: assert problem.__dict__[attr] == \ read_problem.__dict__[attr] + assert not isinstance(read_problem.__dict__[attr], np.ndarray) diff --git a/test/visualize/__init__.py b/test/visualize/__init__.py new file mode 100644 index 000000000..8ddd6ccb2 --- /dev/null +++ b/test/visualize/__init__.py @@ -0,0 +1,3 @@ +"""Visualization tests.""" + +from .test_visualize import close_fig diff --git a/test/visualize/test_visualize.py b/test/visualize/test_visualize.py index ed3c0e4be..5fe0c87a3 100644 --- a/test/visualize/test_visualize.py +++ b/test/visualize/test_visualize.py @@ -3,6 +3,7 @@ import numpy as np import scipy.optimize as so import matplotlib.pyplot as plt +import pytest def close_fig(fun): @@ -44,11 +45,12 @@ def create_optimization_result(): result = pypesto.Result(problem=problem) for j in range(0, 3): optimizer_result = pypesto.OptimizerResult( - fval=j * 0.01, x=np.array([j + 0.1, j + 1])) + id=str(j), fval=j * 0.01, x=np.array([j + 0.1, j + 1])) result.optimize_result.append(optimizer_result=optimizer_result) for j in range(0, 4): optimizer_result = pypesto.OptimizerResult( - fval=10 + j * 0.01, x=np.array([2.5 + j + 0.1, 2 + j + 1])) + id=str(j+3), fval=10 + j * 0.01, + x=np.array([2.5 + j + 0.1, 2 + j + 1])) result.optimize_result.append(optimizer_result=optimizer_result) return result @@ -114,9 +116,9 @@ def create_profile_result(): tmp_result_2 = pypesto.ProfilerResult(x_path_2, fval_path_2, ratio_path_2) # use pypesto function to write the numeric values into the results - result.profile_result.create_new_profile_list() - result.profile_result.create_new_profile(tmp_result_1) - result.profile_result.create_new_profile(tmp_result_2) + result.profile_result.append_empty_profile_list() + result.profile_result.append_profiler_result(tmp_result_1) + result.profile_result.append_profiler_result(tmp_result_2) return result @@ -168,22 +170,28 @@ def test_waterfall_with_options(): (_, _, ref3, _, ref_point) = create_plotting_options() alt_fig_size = (9.0, 8.0) - # Test with y-limits as vector - pypesto.visualize.waterfall(result_1, - reference=ref_point, - y_limits=[-0.5, 2.5], - start_indices=[0, 1, 4, 11], - size=alt_fig_size, - colors=[1., .3, .3, 0.5]) + with pytest.warns(UserWarning, match="Invalid lower bound"): + # Test with y-limits as vector and invalid lower bound + pypesto.visualize.waterfall(result_1, + reference=ref_point, + y_limits=[-0.5, 2.5], + start_indices=[0, 1, 4, 11], + size=alt_fig_size, + colors=[1., .3, .3, 0.5]) - # Test with linear scale - pypesto.visualize.waterfall([result_1, result_2], - reference=ref3, - offset_y=-2.5, - start_indices=3, - y_limits=5.) + # Test with fully invalid bounds + with pytest.warns(UserWarning, match="Invalid bounds"): + pypesto.visualize.waterfall(result_1, y_limits=[-1.5, 0.]) # Test with y-limits as float + with pytest.warns(UserWarning, match="Offset specified by user"): + pypesto.visualize.waterfall([result_1, result_2], + reference=ref3, + offset_y=-2.5, + start_indices=3, + y_limits=5.) + + # Test with linear scale pypesto.visualize.waterfall(result_1, reference=ref3, scale_y='lin', @@ -294,6 +302,7 @@ def test_profiles(): def test_profiles_with_options(): # create the necessary results result = create_profile_result() + result.profile_result.list.append([result.profile_result.list[0][1], None]) # alternative figure size and plotting options (_, _, _, _, ref_point) = create_plotting_options() @@ -303,7 +312,9 @@ def test_profiles_with_options(): pypesto.visualize.profiles(result, reference=ref_point, size=alt_fig_size, - colors=[1., .3, .3, 0.5]) + profile_list_ids=[0, 1], + legends=['profile list 0', 'profile list 1'], + colors=[[1., .3, .3, .5], [.5, .9, .4, .3]]) @close_fig @@ -331,6 +342,15 @@ def test_profile_lowlevel(): pypesto.visualize.profile_lowlevel(fvals=fvals) +@close_fig +def test_profile_cis(): + """Test the profile approximate confidence interval visualization.""" + result = create_profile_result() + pypesto.visualize.profile_cis(result, confidence_level=0.99) + pypesto.visualize.profile_cis( + result, show_bounds=True, profile_indices=[0]) + + @close_fig def test_optimizer_history(): # create the necessary results @@ -356,15 +376,16 @@ def test_optimizer_history_with_options(): alt_fig_size = (9.0, 8.0) # Test with y-limits as vector - pypesto.visualize.optimizer_history(result_1, - y_limits=[-0.5, 2.5], - start_indices=[0, 1, 4, 11], - reference=ref_point, - size=alt_fig_size, - trace_x='steps', - trace_y='fval', - offset_y=-10., - colors=[1., .3, .3, 0.5]) + with pytest.warns(UserWarning, match="Invalid lower bound"): + pypesto.visualize.optimizer_history(result_1, + y_limits=[-0.5, 2.5], + start_indices=[0, 1, 4, 11], + reference=ref_point, + size=alt_fig_size, + trace_x='steps', + trace_y='fval', + offset_y=-10., + colors=[1., .3, .3, 0.5]) # Test with linear scale pypesto.visualize.optimizer_history([result_1, @@ -511,11 +532,15 @@ def create_sampling_result(): n_chain = 2 n_iter = 100 n_par = len(result.optimize_result.get_for_key('x')[0]) - trace_fval = np.random.randn(n_chain, n_iter) + trace_neglogpost = np.random.randn(n_chain, n_iter) + trace_neglogprior = np.zeros((n_chain, n_iter)) trace_x = np.random.randn(n_chain, n_iter, n_par) betas = np.array([1, .1]) sample_result = pypesto.McmcPtResult( - trace_fval=trace_fval, trace_x=trace_x, betas=betas) + trace_neglogpost=trace_neglogpost, + trace_neglogprior=trace_neglogprior, + trace_x=trace_x, betas=betas, + burn_in=10) result.sample_result = sample_result return result @@ -528,7 +553,7 @@ def test_sampling_fval_trace(): pypesto.visualize.sampling_fval_trace(result) # call with custom arguments pypesto.visualize.sampling_fval_trace( - result, i_chain=1, burn_in=10, stepsize=5, size=(10, 10)) + result, i_chain=1, stepsize=5, size=(10, 10)) @close_fig @@ -538,7 +563,7 @@ def test_sampling_parameters_trace(): pypesto.visualize.sampling_parameters_trace(result) # call with custom arguments pypesto.visualize.sampling_parameters_trace( - result, i_chain=1, burn_in=10, stepsize=5, size=(10, 10), + result, i_chain=1, stepsize=5, size=(10, 10), use_problem_bounds=False) @@ -549,7 +574,7 @@ def test_sampling_scatter(): pypesto.visualize.sampling_scatter(result) # call with custom arguments pypesto.visualize.sampling_scatter( - result, i_chain=1, burn_in=10, stepsize=5, size=(10, 10)) + result, i_chain=1, stepsize=5, size=(10, 10)) @close_fig @@ -559,7 +584,7 @@ def test_sampling_1d_marginals(): pypesto.visualize.sampling_1d_marginals(result) # call with custom arguments pypesto.visualize.sampling_1d_marginals( - result, i_chain=1, burn_in=10, stepsize=5, size=(10, 10)) + result, i_chain=1, stepsize=5, size=(10, 10)) # call with other modes pypesto.visualize.sampling_1d_marginals(result, plot_type='hist') pypesto.visualize.sampling_1d_marginals(