diff --git a/.codecov.yml b/.codecov.yml new file mode 100644 index 000000000..27894713c --- /dev/null +++ b/.codecov.yml @@ -0,0 +1,6 @@ +# Ignoring Paths +# -------------- +# which folders/files to ignore +ignore: + - setup.py + - versioneer.py \ No newline at end of file diff --git a/.flake8 b/.flake8 index c89afb788..52611dd6e 100644 --- a/.flake8 +++ b/.flake8 @@ -2,6 +2,9 @@ # see https://flake8.pycqa.org/en/latest/user/options.html [flake8] +# E203 is not PEP8 compliant https://black.readthedocs.io/en/stable/the_black_code_style/current_style.html#slices +# Is excluded from flake8's own config https://flake8.pycqa.org/en/latest/user/configuration.html +extend-ignore = E203 max-line-length = 99 max-doc-length = 99 per-file-ignores = @@ -9,3 +12,7 @@ per-file-ignores = __init__.py:F401 # invalid escape sequence '\s' versioneer.py:W605 +exclude = + docs + .eggs + build diff --git a/.github/workflows/pytest.yaml b/.github/workflows/pytest.yaml index 45b72c659..17aa453c6 100644 --- a/.github/workflows/pytest.yaml +++ b/.github/workflows/pytest.yaml @@ -43,4 +43,8 @@ jobs: pip install --timeout=300 ${{ matrix.env }} - name: Test with pytest ${{ matrix.env }} run: | - pytest + python -m pytest --cov=./ --cov-report=xml + - name: Upload coverage reports to Codecov + uses: codecov/codecov-action@v4 + env: + CODECOV_TOKEN: ${{ secrets.CODECOV_TOKEN }} diff --git a/.gitignore b/.gitignore index 2a7bf5838..a289ac224 100644 --- a/.gitignore +++ b/.gitignore @@ -35,3 +35,6 @@ rdtools.egg-info* .\#* *.pickle + +# ignore vscode settings +.vscode/ diff --git a/README.md b/README.md index d6482e561..e3e4b5cea 100644 --- a/README.md +++ b/README.md @@ -1,11 +1,14 @@ RdTools logo -Master branch: -[![Build Status](https://github.com/NREL/rdtools/workflows/pytest/badge.svg?branch=master)](https://github.com/NREL/rdtools/actions?query=branch%3Amaster) +Master branch: +[![Build Status](https://github.com/NREL/rdtools/workflows/pytest/badge.svg?branch=master)](https://github.com/NREL/rdtools/actions?query=branch%3Amaster) -Development branch: +Development branch: [![Build Status](https://github.com/NREL/rdtools/workflows/pytest/badge.svg?branch=development)](https://github.com/NREL/rdtools/actions?query=branch%3Adevelopment) +Code coverage: +[![codecov](https://codecov.io/gh/NREL/rdtools/graph/badge.svg?token=K2HDjFkBws)](https://codecov.io/gh/NREL/rdtools) + RdTools is an open-source library to support reproducible technical analysis of time series data from photovoltaic energy systems. The library aims to provide best practice analysis routines along with the building blocks for users to @@ -33,8 +36,8 @@ and the specific DOI coresponding to that version from [Zenodo](https://doi.org/ - Michael G. Deceglie, Ambarish Nag, Adam Shinn, Gregory Kimball, Daniel Ruth, Dirk Jordan, Jiyang Yan, Kevin Anderson, Kirsten Perry, - Mark Mikofski, Matthew Muller, Will Vining, and Chris Deline - RdTools, version {insert version}, Compuer Software, + Mark Mikofski, Matthew Muller, Will Vining, and Chris Deline, + RdTools, version {insert version}, Computer Software, https://github.com/NREL/rdtools. DOI:{insert DOI} The underlying workflow of RdTools has been published in several places. @@ -57,11 +60,11 @@ appropriate: Detection Techniques in AC Power Time Series," 2021 IEEE 48th Photovoltaic Specialists Conference (PVSC), pp. 1638-1643 2021, DOI: [10.1109/PVSC43889.2021.9518733](https://doi.org/10.1109/PVSC43889.2021.9518733). - + ## References The clear sky temperature calculation, `clearsky_temperature.get_clearsky_tamb()`, uses data -from images created by Jesse Allen, NASA’s Earth Observatory using data courtesy of the MODIS Land Group. -https://neo.sci.gsfc.nasa.gov/view.php?datasetId=MOD_LSTD_CLIM_M +from images created by Jesse Allen, NASA’s Earth Observatory using data courtesy of the MODIS Land Group. +https://neo.sci.gsfc.nasa.gov/view.php?datasetId=MOD_LSTD_CLIM_M https://neo.sci.gsfc.nasa.gov/view.php?datasetId=MOD_LSTN_CLIM_M Other useful references which may also be consulted for degradation rate methodology include: diff --git a/docs/TrendAnalysis_example_pvdaq4.ipynb b/docs/TrendAnalysis_example_pvdaq4.ipynb index 9ff1ddf2b..08baff104 100644 --- a/docs/TrendAnalysis_example_pvdaq4.ipynb +++ b/docs/TrendAnalysis_example_pvdaq4.ipynb @@ -118,7 +118,7 @@ "\n", "df.index = df.index.tz_localize(meta['timezone'])\n", "\n", - "# Set the pvlib location \n", + "# Set the pvlib location\n", "loc = pvlib.location.Location(meta['latitude'], meta['longitude'], tz = meta['timezone'])\n", "\n", "# There is some missing data, but we can infer the frequency from\n", @@ -140,7 +140,7 @@ "outputs": [ { "data": { - "image/png": "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\n", + "image/png": "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", "text/plain": [ "
" ] @@ -180,7 +180,7 @@ "metadata": {}, "outputs": [], "source": [ - "ta = rdtools.TrendAnalysis(df['power'], df['poa'], \n", + "ta = rdtools.TrendAnalysis(df['power'], df['poa'],\n", " temperature_ambient=df['Tamb'],\n", " gamma_pdc=meta['gamma_pdc'],\n", " interp_freq=freq,\n", @@ -227,9 +227,9 @@ "name": "stderr", "output_type": "stream", "text": [ - "/Users/mdecegli/opt/anaconda3/envs/tempY/lib/python3.10/site-packages/rdtools/soiling.py:14: UserWarning: The soiling module is currently experimental. The API, results, and default behaviors may change in future releases (including MINOR and PATCH releases) as the code matures.\n", + "c:\\Users\\mspringe\\.conda\\envs\\rdtools3-nb\\lib\\site-packages\\rdtools\\soiling.py:27: UserWarning: The soiling module is currently experimental. The API, results, and default behaviors may change in future releases (including MINOR and PATCH releases) as the code matures.\n", " warnings.warn(\n", - "/Users/mdecegli/opt/anaconda3/envs/tempY/lib/python3.10/site-packages/rdtools/soiling.py:366: UserWarning: 20% or more of the daily data is assigned to invalid soiling intervals. This can be problematic with the \"half_norm_clean\" and \"random_clean\" cleaning assumptions. Consider more permissive validity criteria such as increasing \"max_relative_slope_error\" and/or \"max_negative_step\" and/or decreasing \"min_interval_length\". Alternatively, consider using method=\"perfect_clean\". For more info see https://github.com/NREL/rdtools/issues/272\n", + "c:\\Users\\mspringe\\.conda\\envs\\rdtools3-nb\\lib\\site-packages\\rdtools\\soiling.py:379: UserWarning: 20% or more of the daily data is assigned to invalid soiling intervals. This can be problematic with the \"half_norm_clean\" and \"random_clean\" cleaning assumptions. Consider more permissive validity criteria such as increasing \"max_relative_slope_error\" and/or \"max_negative_step\" and/or decreasing \"min_interval_length\". Alternatively, consider using method=\"perfect_clean\". For more info see https://github.com/NREL/rdtools/issues/272\n", " warnings.warn('20% or more of the daily data is assigned to invalid soiling '\n" ] } @@ -285,8 +285,8 @@ "name": "stdout", "output_type": "stream", "text": [ - "-0.509\n", - "[-0.761 -0.295]\n" + "-1.273\n", + "[-1.607 -0.959]\n" ] } ], @@ -332,7 +332,7 @@ "outputs": [ { "data": { - "image/png": "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\n", + "image/png": "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", "text/plain": [ "
" ] @@ -355,7 +355,7 @@ "outputs": [ { "data": { - "image/png": "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\n", + "image/png": "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", "text/plain": [ "
" ] @@ -378,7 +378,7 @@ "outputs": [ { "data": { - "image/png": "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\n", + "image/png": "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", "text/plain": [ "
" ] @@ -405,7 +405,7 @@ "outputs": [ { "data": { - "image/png": "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\n", + "image/png": "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", "text/plain": [ "
" ] @@ -421,6 +421,27 @@ " hist_xmin=-30, hist_xmax=45, plot_color='orangered');" ] }, + { + "cell_type": "code", + "execution_count": 18, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": "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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# Plot a time-dependent median (plus confidence interval) of sensor-based degradation results\n", + "fig = ta.plot_degradation_timeseries('sensor', rolling_days=365)" + ] + }, { "cell_type": "markdown", "metadata": {}, @@ -430,20 +451,20 @@ }, { "cell_type": "code", - "execution_count": 18, + "execution_count": 19, "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ - "/Users/mdecegli/opt/anaconda3/envs/tempY/lib/python3.10/site-packages/rdtools/plotting.py:165: UserWarning: The soiling module is currently experimental. The API, results, and default behaviors may change in future releases (including MINOR and PATCH releases) as the code matures.\n", + "c:\\Users\\mspringe\\.conda\\envs\\rdtools3-nb\\lib\\site-packages\\rdtools\\plotting.py:172: UserWarning: The soiling module is currently experimental. The API, results, and default behaviors may change in future releases (including MINOR and PATCH releases) as the code matures.\n", " warnings.warn(\n" ] }, { "data": { - "image/png": "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\n", + "image/png": "iVBORw0KGgoAAAANSUhEUgAAAawAAAEOCAYAAADVHCNJAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjUuMCwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy8/fFQqAAAACXBIWXMAAA9hAAAPYQGoP6dpAAB/2UlEQVR4nO2deZwUxfn/391z7n2zN8u9XA7HiuAJGBWikhhAE6PxSjTRGKOJMV/15/mNMYkmmkRNNEYxiQlGEBX1q6CIKCrHcqxcy73ssgd733N2/f7omdmZPWB32GMG6v16rTLdPT2frq6up56nnqpWhBACiUQikUjCHHWoBUgkEolE0hukwZJIJBJJRCANlkQikUgiAmmwJBKJRBIRSIMlkUgkkohAGiyJRCKRRATSYEkkEokkIpAGSyKRSCQRgXGoBYQjmqZRXl5OXFwciqIMtRyJRCI5ZRFC0NzcTFZWFqp6fB9KGqxuKC8vJzc3d6hlSCQSyWlDaWkpOTk5xz1GGqxuiIuLA/QCjI+PH2I1EolEcurS1NREbm6uv909HtJgdYMvDBgfHy8NlkQikQwCvRl+kUkXEolEIokIpMGSSCQSSUQgDZZEIpFIIgJpsCQSiUQSEYSVwWppaeGhhx5i/vz5JCcnoygKS5Ys6dV3lyxZgqIo3f5VVlYOrHCJRCKRDDhhlSVYU1PDo48+yvDhw5kyZQpr167t8zkeffRRRo4cGbQtMTGxfwRKJJKIoqisgcKSegrykrDlJA61HMlJElYGKzMzk4qKCjIyMti8eTMzZszo8zm+/vWvc+aZZw6AOolEEmkUltTT0OaisKReGqxTgLAKCVosFjIyMk76PM3NzXg8nn5QJJFIIpmCvCQSo00U5CUNtRRJPxBWBqs/mDt3LvHx8URHR/ONb3yDffv2DbUkiUQyRNhyErnx3JHSuzpFCKuQ4MkQHR3NDTfc4DdYhYWF/OEPf+Ccc85hy5Ytx10b0OFw4HA4/J+bmpoGQ7JEIpFI+sApY7CuuuoqrrrqKv/nK664gnnz5nHBBRfw2GOP8de//rXH7z7++OM88sgjgyFTIpFIJCESUkiwoqKiv3UMCOeddx4zZ87kww8/PO5x9957L42Njf6/0tLSQVIokUgkkt4SksHKzc3lkksu4Z///Cetra39ralfyc3Npa6u7rjHWCwW/0K3csFbiUQiCU9CMliPPvoo5eXlXH/99aSnp3Pttdfy/vvvo2laf+s7aQ4ePEhaWtpQy5BIJBLJSRKSwbrvvvvYsWMHhYWF/OhHP2Lt2rVceumlZGVlcdddd7F58+b+1hlERUUFe/bsweVy+bdVV1d3Oe69996jsLCQ+fPnD6geiUQikQw8ihBCnOxJhBCsWbOGf//73yxfvpzm5mby8/O59tprufbaaxk+fHivz/XMM8/Q0NBAeXk5f/nLX1i4cCHTpk0D4Cc/+QkJCQnccMMNvPLKKxw6dIgRI0YAMHbsWKZNm8aZZ55JQkICW7Zs4aWXXiIzM5NNmzaRnp7eaw1NTU0kJCTQ2Ngow4MSiUQygPSpvRX9hMPhEMuWLRPz5s0TiqIIo9EoTCaTMBgMYvHixaK8vLxX58nLyxNAt3+HDh0SQghx/fXXB30WQoj7779fTJ06VSQkJAiTySSGDx8ubr31VlFZWdnna2lsbBSAaGxs7PN3JRKJRNJ7+tLenrSH9fHHH/Pqq6+yfPlympqaOOOMM7juuuu45pprMBqNvPzyy/z6179m+vTpJ8zWCxekhyWRSCSDQ1/a25DmYW3fvp1XX32V//znP5SXl5ORkcEPfvADrrvuOs4444ygY++++26sVit33313KD8lkUgiHLkAraS/CMlgTZs2jaioKK644gquu+46Lr74YlS15/yNSZMmcfbZZ4csUiKRRC5yAVpJfxGSwXrppZdYvHgxsbGxvTp+7ty5zJ07N5SfkkgkEU5BXpLfw5JIToZ+yRI81ZBjWBKJRDI4DPgY1j/+8Y/j7lcUBavVSk5ODtOnT8disYTyMxKJRCKR+AnJYN1www0oigLoc7ACCdyuKArx8fHce++93HPPPScpVSKRSCSnMyEZrG3btnH99deTkpLCj3/8Y8aMGQPAvn37ePbZZ2loaOCZZ56hqqqKP//5z9x7773ExcVx66239qt4iUQikZw+hDSGdeONN1JRUcH777/fZZ8Qgq9//evk5OTw4osvomka559/Pk1NTXz11Vf9InqgkWNYEolEMjj0pb0NaS3BN998k29+85vd7lMUhW984xu88cYb+g+oKosWLWL//v2h/JREIpFIJECIBkvTNIqLi3vcv2fPnqCV2y0WC1arNZSfkkgkEokECNFgfeMb3+C5557jmWeewW63+7fb7Xb+/Oc/89e//pUFCxb4t3/xxRf+cS6JRCKRSEIhpKSLP/7xjxw4cIA77riDu+++m8zMTEB/7YfT6eSss87ij3/8I6AbsaioKH72s5/1n2qJRCKRnHaEPHFYCMGKFSv44IMPKCkpASAvL4958+ZxxRVXHHeppnBHJl1IJBLJ4DCgE4fb29u5//77mTt3LgsXLmThwoUhC5VIJBKJpLf02Q2Kiori+eefp6qqaiD0SCQSiUTSLSHF7QoKCtixY0d/a5FIJBKJpEdCMlhPP/00S5cu5cUXX8Ttdve3JolEIpFIuhBS0oXNZqOmpoaqqiosFgvZ2dlERUUFn1hR2L59e78JHUxk0oVEIpEMDgO+WntycjIpKSnk5+eHJFAikUgkkr4SksFau3ZtP8uQSCQSieT4RO5kKYlEIpGcVoRssJqamvjNb37DvHnzmDZtGhs3bgSgrq6OP/zhD3KxW4lEIpH0KyGFBMvKypg9ezalpaWMHTuWPXv20NLSAujjW88//zwlJSX+5ZkkEolEIjlZQjJYv/jFL2hubmbbtm0MGzaMYcOGBe2/4ooreOedd/pFoEQikUgkEGJIcNWqVdxxxx1MnDgRRVG67B81ahSlpaUnLU4ikUgkEh8hGaz29nbS0tJ63N/c3ByyIIlEIpFIuiMkgzVx4kTWrVvX4/4333yTadOmhSxKIpFIJJLOhGSw7rzzTpYuXcpvf/tbGhsbAf0txPv37+d73/seX3zxBXfddVe/CpVIJBLJ6U3I78N67LHHePjhhxFCoGkaqqoihEBVVX71q1/xy1/+sr+1DhpyaSaJRCIZHPrS3oZssACOHDnC8uXL2b9/P5qmMXr0aBYuXMioUaNCPWVYIA2WRCKRDA6DZrBOVaTBkkgkksFhwBe/DaSlpYX6+nq6s3vDhw8/2dNLJBKJRAKEaLDsdjuPPPIIf//736mtre3xOI/HE7IwiUQikUgCCclg3XbbbbzyyitcccUVnH/++SQlJfW3LolEIpFIggjJYL3xxhv84Ac/4Pnnn+9vPRKJRCKRdEtI87AURWH69On9rUUikUgkkh4JyWB985vf5MMPP+xvLRKJRCKR9EhIBuuBBx7g4MGD3HLLLRQWFlJdXU1dXV2XP4lEIpFI+ouQ5mGpaoed6261dh+RmiUo52FJJINLUVkDhSX1FOQlYctJ7PfjJeHLgM/DevDBB49rqCQ6oTxUvu80tjnZU9nMxRPTWVSQO7BCwwDZAA0s4V6+hSX1NLS5KCyp76Kvs/aisgae+3g/idFmgLC8HsnAEJLBevjhh/tZxqnJ8R7CE33ng51VJESZWL2rqtcGa3lhKat3VfmNXLg3UoGs3F7O3qpmyhvaw0Krr+zirUaa7O6IKMPjEUpdHEzirUY2HKzl4onp/m2+e7C9tIHdFU288vlhfnLhGPZUNnOophWHu5kZI+SUmtOJk17pAqCxsZHY2FgMBkN/nO6UobuH8HgsLyzljS1lAEzLTaC+zdXr7wIsKyzjUE0reyqbGZseFxaN1NOri3l/ZxXzJ6Vz58X5/u1FZQ2s3F4OwPiMOHYcbcTh1oZEo0/PS58doqrJzuKCHPZUNrNqZyXVzQ7OyEkAjt+TP5nOQSjhsECt3XVofOVb3ezgSF0rJbVtJEabWWDL5OX1h8LOADfZ3eRnxNNkd/u3+ervgeoWDtW0IoDn1h4g2mygrKGdGLOBPZXh++69SOowRgohJV0AbN68mfnz5xMdHU1KSgqffPIJADU1NXzzm99k7dq1/aUxYunuITweSz4/zP5jLRw41sJHe6oZnxHXp3BgeryVdqeHNqebldvLKchLIjHaREHe0PVC//llCfuqmnnh04MUlTXw9Opi5j+9jlv+sZklnx9m5fZyVu+qIs5qorbVSXWzg6KyhkHXuXJ7OR8XH2PDoTp+sayIVTsrKW+00+7S2FbaQLz1+H27lz47xL++LOGlzw71+bcDOxbHo6isgZfXH2Ll9nK+OtpIeUM7q3dV9XjOdXuree+rCrYcaaS+zUVlk503t5Wzcnu5v7Nwot8arHvRXV2NtxrZeKiWwzWtOD0Cl0fQ0ObCZFAxqgpmQ3DzFYrm5YWl/Oifm1le2P9vSD+ZOjHUDPb97y0heViff/45F154IdnZ2Vx77bW8+OKL/n2pqak0Njby/PPPM2fOnP7SGZH01cOqatIbSACXx8nSzaVBXsnxWF5YSlWTHYtJpcnu5o0tRxmfEceN544MWX//oKAJaHdq3L/iK2paHNS3urC7NRTgWLOD+jYnh2raiDKp1Lc5Wbm9/KS9lVBCeaoCmjcF6UhdOwYVBGA2qifsdByobqGu1cmB6pbj6upOT0Fekn9fZwLDvE12Nw1tLgASoozsr2phd0UjC/78KaPTYrnpvJH+c8dbjZQ3tuP06BekCfBoAiEEje2uE5bFS58d4qujjWwvbeDp7wz8y1j3VTWz4WCtv2PgCwWW1rfR4tCTt1QF8lKicHk0Yi1GkmLMjM+IA/CPa2kCNhys5ba5Y3p131fvqqK+zdWn0HtgdGDBlKwef+ero40cqW2lrL4dlm7lpvP0Z7E33x1MAusm6Pp2HG2kye7mL2sP8N2zcnvdDg00IRms++67jwkTJvDll1/S3NwcZLAA5s6dyyuvvNIvAiOVorIGVu+qQhN6qG5PZfMJK6hHEyjojaRHE7jcgqKyhl4/eE12N41tLpyawOl2suTzw0OesHHJxGG8tqkMDdhxtAmLUcXpDf0JIMFqpKiskWizgYY2NyW1ejJPtNkYUihz5fZy1u2tprS+jViLkXNGp3LTeSODjFi81cieymaqmx1B381JiqahrQnh1WZUFQQCq9HAqp2VxFuNPZanyaDgcGuYDN0nI7302SE2Ha7jjS1mHvvWGQBBBqyn6/Q1qMsKy0iPt3KguoXRabG4PAIBlNXbMTY5qW91MiW34zx7Kpv1i/CiAIlRJlocbtwejTV7jh3Xg69qsuP2aFQ12Xso6dDoqbH3hbO/OFCDEJAUYyY+yoTDpWFQQVFgVGoMFqOB8oZWaludeDTB6l1V/vB3fZuLneWNTMqK99edE4XlLp6YzupdVYzPiOt1qHTl9nLW7DmG26Px6b4abj5/ZJdyXF5YSkVjOy4N0DTe2lbOlwdrsJiMtDvdJEWbKa1r67VhHUgKS+oprtQ7DFaTgfX7a2hzeXB7NOKtJt7fWcWFE9LDIrwZksHatGkTjz/+OBaLhZaWrj3K7OxsKisrT1pcJLNyezmHalopq29DURTqWp1kJUYd92ZPzk7gy4N1IAQGVWHMsJheN9pJ0SY+2VuNQCCE/oC3OYd+WsG4jHhSYs1UtzgRgFvTUFW9AUXoYVOjqtDu0ht7u8vDjqONON0aiwtyQvrNmhYndqdGm9PJx8XHAKhvc1JW347d5cHu8qAJQavDgwJ4hMBqMlCQl8QF41L5bJ/eaLo0QWKUiYY2F/uPtfC3Tw8xNj2u2/thMRqItxopqW3j6he+6DK2dKC6hZpmB8ea7Nzw0kbOyElgam7SCe+vr0Ftd3nYdLiOhnYXZfXttDnduNwCDfC4Ncoa7Pz2/T3srWzi8UVTgA5vEXTvpLrZgeatG5qwBzX2nRuixQU5fs+uPyksqWdvVQvNdqe/wQbd065uduB1CGl2tDMuXSXGYiTabCArMYr0eCtH6lqpb3X6vfMtR+r5/apixqXHUdVkJ8Fq4lBNW5Cn1tDm6tFrX1SQy9j0uD5lHVY3OyhvaNfrrAqPvL2TT/fVBHm4q3dVYVJVoKNzVtnkRFWcqAp4NIixGFm5vXxIDEDnMeRNh+uoaXGiaRotTg8mVSEtzoLRoBJtVrl/xVc43RqrdlZy76UThsxohWSwTCYTmtbzAPnRo0eJjY0NWdSpwN6qZkrr2/F4BGajQk2Lgze2lLG9tCGoYgfy80vyWbm9nC8P1uJ0a6iK0uvxp8O1bSiA2wMGRQ9jRZsNLC8s7VVobKAGiOOtRuKjTDS2O3F5dF0GRcHu1nB7W1SXRxBjUdA0aHa40TTB9tIGtpTU8+qGEh7+xuRe9ZZB77XvrWpm3d4aABrb3by/oxIUcHsEqiLwaKAqCh4h9AYccLg97K1q5nJbFjuONtHqcBNjMeDyaHg0QXWLE7cmeOmzQ92GyGaOTGZPZTMtdjdbjjTQ4nAHGazkGDMCcGnQ0O5ix9FGxqXH0eZ098qLbra7dO/IrdHu9CDQDY9Kh2GyuzRWFlVw9cw8FkzJ4suDtVQ12nG4PTg8AodL071HAe0uDU2IHhvqselxvL29nD+v2U9pXVu/hISKyhrYXtpAWX0bDW0ualuc3PXaNmpaHLQ5PH5jBWBQweEWzBqVwrbSBuKsJjYcqsWgqmQkWKhtdYHbQ22Lk02H67EYDcRZjZQ3tGNQFT7dV8Oiglwa25y8ua2cdqcbs9EQFOL0Ndq+5y05xsV3Zw4P0ttdfatvc2L3he41cDk8vLWtnI/3HGPu+GGcPzYVq8mA0aDQYbJ0fPXN5/7urWrmR//cfNLTV/oaCn/ps0N8vOcYqqpHM8ob7IEOOU6PoK7VidWkUtVkR0XvwB2pa+P+FV9xwzkjeHt7OSW1bZw9KplxGfGD4n2FlHQxa9Ysli1b1u2+1tZWXn75ZWbPnt3n87a0tPDQQw8xf/58kpOTURSFJUuW9Pr7DQ0N3HLLLaSlpRETE8PcuXPZsmVLn3X0B063RrzViNWkkhJrITHaTHlDO/+3o5L7V3zVZTDTV+EWTMli1qgUMhKsTM5O6HUFSI+3YjKqmAyK//+ZCVZW76rq1YB+XwaI+zIg22R3kxBlAhS/ZzUs3kpWghWTAX/4rcXuRlUVDApYTSptLg2HR1BU1sjj7+3msXd3sXJ7ub+3fLzfL6tvRw2IzDncGnaXbiCdHjCoCm5NN1YGRdfk8kBlk4OV28vJS4nCZFCIMhuwmgwB5/H0GCJLiDYTbzXh0gSeQNfGW151rU7MBjXggesIffquZ3lhaZfrWr2ritL6dvZUNNPu9OD2NnhC6I1fp58i1ttrBxidFkt6gpXUOCuJUSZM3vJXAE0TfLK3mi1HGthZ3tilY7RyezmbDtdT3tDOi58d6pekBF/YDnSDdLShnQPVrTS2u3F5w+FGVf+zGFUsRt3jHp8RR7PdhdmgUt/qpL7NxbA4C26PXncMit7wmwwqZqOKqihsK22gqKzB34mobnFS1+oIun8vfXaIf35Rwo6jTeyramFvVQv7qpqD9BZXNvPcx/uD7onTrWExBod+BdBod/PBzkp+/d5uPj9QCygYDYq/zJWAYzUhqGqys+lQHV8dbewxeaYvZdvgHYvzPe/HSyg5UN1Co91NfZubo52MlY92l0Z9mxu7S6PNpeH2CNpdGrvKm3hu7QG2lTZS2Wjn3aIK1hZXnzCRpz8IyWA98sgjbN68mcsuu4z/+7//A2D79u28+OKLFBQUUF1dzQMPPNDn89bU1PDoo4+ye/dupkyZ0qfvaprGZZddxr///W9uv/12fve733Hs2DHmzJnDvn37+qzlZFlckMPU3ETmjk/nm1OzOSM7AZdH81fUzgYkMFNswZQs5uQPY8GUrF7/3k3njWRu/jCSY83EW40kRZsprmrhWLOdjYdqT5jldqKkgUD6YtwK8pL8161p+sooOUlRRJmNTBuepI9PAB4BJoNKu9NDQ5sbVcFrdBR2VTTpmW1F5bxTpPeIiyubuzXChSX11LQ4MKgKBvTGz/cbPjzexV0Ught8IaCp3UVBXjJRZiO1LU5MBpUYiwFV0T0Yh9vTraGMtxqpa3N4x1sEyTFm/3GFJfU0tbtwaYL4KCOJUSbGDIuhutlBcWWT9//N/HnN/i4ZfEnRJvZXNWN3azg9ujH0eI2WqnRcl0EBq1GlrlUfu7zx5U3srmiizekhIcqI1WRgWEIUw5OjMBsUFK8Hc6zZwcGaVlZuL6eorMHfGdlb1YwQwv+bywrLTnivT0RBXhJJ0SbsLg9N7S4CZzEoQHyUkdFpsViMKu1OjX1VrXy6rwaryUB6vJWGNidtTg9tTg+VjXaizHpnQlUUDKpCbYuDNoebhjYnje0uXvrsEBdPTEcTgmiTilFRSI+3+u9LVZMdl0f3OjWgvtXJQ2/v5OnVxRSVNVDe0E5JbSuJ0eagTtLighzSE6JIiTHReciy3aVR1+qiutlBi91FnNWk3/Noo9/jQkCrw0NVkwOHW6Oi0Y4mxEll5fmyLMdnxFFc2US81RiUUNK5k5kcY+72PGaDgtkQ/Lz4Da53oybgSF0r7Q6X/myjRwAGg5BCgjNnzuS9997j1ltv5brrrgPg5z//OQCjR4/mvffew2az9fm8mZmZVFRUkJGRwebNm5kxY0avv7ts2TI+//xzXn/9dRYvXgzAVVddxbhx43jooYf497//3Wc9J8PY9DhvEoSTDYdqMRtV0uKsVDS009juYm9lU9DxgZlixxuEPx5VTXbirSbMRpVYi5G6VifFVboBOtbs6DHxw+cBtLs8PSYNdP4dt0f0akDelpPIrFEpON0eSmrb8GiCHUebGDMslsZ2FzmJViqbnCREGUmPt1DT4tB7ewImZ8dT1WSnvtVJk92NxaBQ1+Ikxmyg2e7udtJoQV4So9NiOFzTRpxVT+RweTQcQtM9KhX/GJ8m9EbftziZQYVvTs1iwZQsVhaVY1QVrCYDigLN3vGuvVUt3Y47NNndZCVEcbi2DVWB3RXNPP7ebu69dAIFeUm88vlhYi0GXG6NhBgTVU0Ov/dmNRnYWd5IdYuDNqc7yNupb3NhNqq4HB3jkQpgNChEm1TcmkBVdI/R4db8Bri21Ynd5ebMEcmMS4/zzsdqw2JU+da0bF7bXEplo17W7U4PSzceYXlhGSNSo4mzmqlrdRJtNuLW9FCo2RjaDJjAlVs2HKrjSF0b1c0OXJ7gPr0CRJkMNNlduufo3d7Q5uTLg7VMzU0ERQU8aAJyk6OwuwV1LQ4cHg23R6PdpRFlNmJ3641nVZOdRQW5lNa1scIbFvxkbzUbDtVy9yX5LC7I4UhdG0cb9HqsAW0ODy+sO8jh2jasJgMtDjclta043B7W7HH7Q4p7KpspLKnD7mrG7tKCwpm+fzo1QV5KFAV5yVQ3O/jqaCPN7S4a7S7cno6Oh8Wo8pV3HmKoE+f3VenzBlscbjIToli9q4qkaBOHvSG7zlmf49Lj2Haknka7NwMTiPbWz2iLiWFxFn1MURO0ON0ogEFRcHn0cVOXtzoaFP16XR6tTx3sUAl54vCFF15IcXEx27ZtY9++fWiaxujRoykoKAh52SaLxUJGRkZI3122bBnp6eksXLjQvy0tLY2rrrqKf/3rXzgcDiwWS0jnDgWfx1Rc2YzZaKCsvo2EKCNVTQoxJiNbSxu7xMh9FTWU8aTCknoc3nGhC0alEGM28Pf1h7A7PaiqQmWTnTV79ASEwHMWlTXw+Hu7aWzX57dYjCee/D1zZDLv76xi5sjkXuldMCWLrMQo/v7ZQaoaHTjdHhrbXUzNTSTOaqS0Tp/UanfpPefqFidGb0wvzmqipsWJEGB362GjNqeHGKvodtKoLSeRBVOyaWhzsfFQLXWtjbR7M82MCmgoKIqemBJjUnF69MYmO8nKXReN868QMmtkClVNdtLjrWw6XOfP3mxxePxTBgLHHArykihvaMd8sJay+nYa2pwcqBas3F7O/ZdN5CcXjuFvnx6i3amnpltMBvZWNZOZEEVStJlmuxurUSXabAx68C+emM6+Yy168g4KTo9+LWdkx/PwNyYDevjunaJy6lqcOAJaTpdHkBRt5v7LJgZNJG51eshMsFLb4sTlEZgMCs0OD+Ch7kgjw+LMTMiMZ3RaLJ/uq8bgvRehTDj2rWCy42gjLXY3Tm92YxcUXW9WopV4q4mSmlbcQmAyqCTHmEmLszA1N4GtJfUkxZi5YJwegfjJf7bS0OqgptlBtMVIu8tDlElFVfQQ7mPv7qK62YFRVWhzevR5ig6FZYVl/OeWs2my62OcW4/o3rrTI3Brgk/3VRNnNWExqphjVA7VttLU5qKysZ07l27l/LGplNa1UdvioqHNicPtwekRQR674r0H9182Eeh4TtYWH2PDwTpUoYHQPctos5Fgv6ZvLPn8MHsrm1FVfbw8MyGKxnYXCVEm/rL2AA6PQAUa2lwUlTX4n8l/fVnC4ZpWVFVB0wRWswHN20GJMhuwuzwkRplJiDJxtKEN/4Pgu0YF3G6NktpW9lU1D/gY1kmvdDF16lSmTp3aD1JOjq1btzJ9+vSghXkBzjrrLF544QX27t3LGWecMfBCHtZXRYgHNgDjx6ykNTaKJGEkrXQzqaPPZdPheoTQuOu1bTjcGiu3H2VYnJWLDyxj0c/uo/BgDQ3tbgp3H8WW2LtbVHBwG+V5+sD4gilZPPfxfswGFbuqYVDA7vRwpK6VNXuOBXlZhSX1OFweopRajJZ00qMMLP/yIE0epaNxqquDxES9dlZUkFBfzbxEDwn11bDfwMP/KuAr138QQmAxquRnxPkTJXg4AdvDjdhyEnljSxmNbcXEKnncfHYuTU59nI+dO6kePoaqJjvThifx2f5qXB5BeYOdPLNbD0UEeEEWk8qwOL3zUVTWQOHhuqCGtGB4IoUl9Syens2eiiZMBnBrgjiLgVan3kOPMumD9E6XRmK0ifR4K00Hj1DkzZrLS4khzfsbY4bFYndpNLQ58Qioa3Xy5KrioIxBW7IZ22UTWV5YyhOrirG7FHB1eKCLVk5m7JVFrPy/zXyZMoyqJjsej+4FHK5pJUpzYVCNXDFVN1Y+47BoahZNKyfzvvE89nIGKcbhpDOMgrgEbAkGMJmwXTyGGFWwYnsFHk0fazjW1oqqfMqB6o4OXGldG8e8K1/sq2pBoZXE6HisJgMVjR0p/vVtLhCCp6+awmPv7mJvVTNlta28+Ml+3ogx89jFI7FN7EhOOB7Vje2UVTfjcDtxejz+MSd9yoD+fwVItJiZMSKR88em0mR3s7eyic8P1pESbaTg2KUs+EYJtpxEfV7ayjWMzxiLLSeROy4cw59X7aGipZW6VgdR5hYSLem0O9wcq2ul0OWirtmBcNdgUFIxqKCqiu4xejwUrH4NLv42Z49K5vXCMv2+CEFdq4vaVhcGBRrbndS1uvxz2t7c9hWf7qnje+d+ndzkaL/3dLSh3Z+MAZBgOcDotPP9n205ieyrasbp1kiMNlLb4iLRXE2UMYcEi4qzvILxU0J8z6DHAzSjaVDfCg1tKskGM81ch8OjR5c09Lr7+1XFvLJ4ArayjcRPHMNzm9to8wiGJ0dRWfcsIxJuwWkx0tTuJjHaQE5SFFVNDuKtJupanf6fTIo2MTI1mj2VRzHRzuqN1gGfRtMvSzOFAxUVFVxwwQVdtmdmZgJQXl7eo8FyOBw4HB0PbFNTU7fH9QUN+BrA/gVcOeI7FJUupRhIOAh2/oc9jZOocejeTF2rk+hjl+lhkD/8hQIuoBhBPuWw3nqcX/H1yHZgA2wHgId1z81qMmA2qoxKjdHng3g8uDVwuDz+sZ/CknriLQZmVK/iav7I245Z5O7/ktIDUDn8HQBsahu8UABMhQlzYPcHxNOMkSaiiYdde7kauNpzNb9gJG7nY+wq18eXbC/m6fIeToCHG7mh9iU05Q1UYNGRuyF3Eq+/u5px/JsRe+CT2P9wpC2WtFgr1S0OYj1fMrv9SbLNs3jXcSsGxYSqKP5w4po9x/hqy1dMTFUxVcdiU/SJmTYFbCMAnOwa1sT6qjpyDBZqPS7qTE5cmiBJNXHTtFGAygeFpdgrXMRW/JzinVDwgxIKS+ppc7qJNhuZkz+Mn1+Sz/0rvmLHUX2eVk2zPsHZlhED1ceg8F8wchZN9uFkJUThcTRwOS8xfufZsOlsvRxetzEOcLTcwQpxDnFKJS6nHTMefiTuxwp8VPIerU6PPg+tuALbi3nEA4v5DPis49YfAH4PkAZkkI2FHxNPMxaOYmKC5W0Adte+BC1HKSypJzHa7J80nBxjYXHbt2nTYvgs6t80trn0xlYBo+KgpLSSov2lLMiP411nMyVlDbR5XHicTRT/9z5so+fA9x474XMw3H6IyvYqnE47CfhCfyoTLPEkRRtJijNz4cRh2IYler+hv5boR2u3kCLszHH8PzIBXsyDc/9My/qf8zWcNK2cAQUfsqggl5aVt3HEWEKiu4REBb5w3Aa04nJ7iKs3sYCXiQWe4xfUmWdgMaiI2mMU/W8yNoDVj1NMAtnMolqZjdOTCuhZzh4BVU3OIK/wCX4CTqhb/xCJLIL4y5iRPQKPJvzjc9cYvsM4QN2jQM1+SE0FOuZL1rW6iDF/xm3iWY6050JrKXkClqycw5LP7+aGc0b0qfG/IbGQjQ0l1GgO3G49XpdmeJ2ZGsB3+QV/BlIQ6Akq/EE/91jgR76T1EE+UNy4Ghr1DncRj1LWNhZjbAzxUSbivdM8Yi0G4qNMxB07zA/V3xJHKwlVM4E5vdYcCqeMwWpvb+825Ge1Wv37e+Lxxx/nkUce6Vc9+UCx9/8c1o0VQLoGC9TfkOUezZfiIioZg8OdyljvGGgRYGMdfR0BLPL93sMJrJzxBVuP1NNqdzMuPQ4Q7K9uxaQojB4WS7zVyOPv7cbh1ohTPIzmjwB8w/mlf/DAeeRyCgo2wws/B9qAz2H354B+iBXQCJ5r9wSH2MZ3edvwmj7RFljk2/lwQse/AXY+CTuHkc8xigEzcFHL1RhGvMie1IlUtzip2vMkWUAWX5JmaWYlt+NWktlb1eJN7W5irPEdjFUGbJYMli99j7KWZnJi41g0Rg9Xjq+tZjwaKCr5w2N550glHoNgGEa0wu3kZ8Wi0UI7r/rvm+3FmdgeLu4S6rzhnBHct+IrnG6BJgTVje3gaIZ178HuJRRt/ojyM37D8ORoLMfWMYH1aG27vfcUfx0Yw59IVCxMdm0hxuTGhIavW5JZdilrGt5kWLyVxZYGf3n78KVJdySZVwPV/vo2A92793EFwJPZFIx8EkbO9adtr3zxp+jB91aqGx6lxHAXuXExtDjcmDzHyKGepcuP8Z3zsij+aj8GRzspQKrhXWAHRQd2YFt3EVwwt0td9NPSwkWplRQf+Qoz+uC8AsSpJs5PyuLKicMABziboVNOxwRxEEGTbqy812Zb/xOmef8dzya/FzqNdUQrgEk/9ms8h0Y04CQwzPYtnmCleJZabRijW7fp5/Tfl0au5AMWax+wFwu7mcleJtOmpNMqMoFob+l7O7MG0GvYcsY1LYemOEZzMaVMJHnMFLK9+UgaAp4ZTZHlFgqnXsv4jDgO17aRkxTF1JZniVVgIqXe+CFc517LxtqtLFvzgj89HTj+EEFrK4vUXWhUckBtw6XoUYkEAO9Y0xP8hP9R7iXKPJVxyVao6ChXH/mdPs8EZvIgbg/salSp5TpmjJlPuSmFNaWt1Le5qOK3XM4RABbxXne1oF85ZQxWVFRUkJfkw263+/f3xL333svPfvYz/+empiZyc0N0bR9uBMD28I+x8S//Zn9l8AAKFBgPMM5zgO1iGhXKZNKEvt33EPWV4oD/K5vOplp7DQWoanIwITOBykYHdpeHTYfqqGxsp9WpgRDU26uZCOAmKIQ+0g1vrvgJ+/gi2NDQ0Wiq6IYycONUYKrj2/zy4OWkWPUeXOfr8RtXjvn3FQPjAdvhH0D27ykaO5+Vezq+M4GdqDzLO65v0irGITAhxF7GaJvJM5jgSBrV1KDh5kCjxj+3RTGFJG+5O8h3W7CVmQEnxTj0C3arFB9Rycfi71zoeirh9dexXXllUAPRZHczZlgcu8ubEAJW7TnC38zl3Lz7DaCcYsqJ2/sFWRdcSuOer7zfqvPfU18diALO5x/km5qwoGAISNadCKypX87WxksxG1axiODOT091w+b9K+pmO4Dt0N3YDp0JGX+CcZOw8SYArwMzKaSZDzkiLiM/L5mEg5tJYT8pjii2f7Qbo7OW4d7MlBS+8t8v25pb4axtYO0hClBbC1VbGUkFpcTq4UADWFBR7SrUd31efcwd7ibjiIt2b3l1vs7XgZLVa9gwegoXd/qubuDbupwzG7iYNRxN/Bbpddv8Rt9XviqgWSDf7iCfdbis6zhKPEddkygTmdjNY2nQSv1pc4GdBxvNvM4bJPIGHIoL7rACxY4XiN3wMsaE/+F3X/8OhbUuClZ33LNiBb01VuEsGsls/TZvrX6UN1KmE2sxkpcSo19/dwZr/344UgJUYiYHTLrlbvWtJmYCDPAbHuc/3E9JRSqvA1dCF50+AuePGQEbGrCE/P1LKCCdVM6giql85TVWAC8DBb1cmSdUThmD5csw7IxvW1ZWzxksFoul/xMyHn6Woof/FdTQFIO/FwgQZ4bzXFupEvtIcwInISGw4uUDbvV/WBPzFNNyE/TMNVXRB+Q9gn1VrSREm7CaVKZSTzZ01AQT4AIETOALKtAbh8DGUgv4v89QrjPCBd7vAfyWd8AOxVbYB0FGL9C42gL+/Kz/BcXrN9I5/SOfHViMrWxhAbVMocS1hTyT7uXtpJRoQHGAqoIwQDFlXEl8x7m1wIbdoRsyLNiwdDUEO38A8+dDXJx/U0FeEhsO1lLtXZXB4Wpn/Y5SbuZz/z3A8Raq+BqvsYXvB5wu0JDojUMP825ccLnnn7wqcig1rIOg8pkAHMXfy++Gzj3mYDbDv8+Bqfd10TSDJYxqzyA961Kmu+xQXkOxRwOiyDO3U2t36ann3p6Kfu4KePV/4fs9hAbLyig+WkE2TVRZUvzp0ZlEoXnMYO25E2nLjMKWmUzRhu4b1Hyggoexq8uDPFB0eYwNKIvAulvEej5vzCKFjikZgfVvOaBZAaE/CiNoYoTpCwBqiENVOxJ9NPRGP1CTrrW5a50GwIW18X+x/Xc9tgW3Bv1+MRBY4XNdsFA8yBvH5rFVfIeisij2VsVR3tDeNdP3wAFw7yKfViAHFRPF1GASBLU3AFc7HuOvwgIqvG4GFStXonfqXw84TiMDOkVQfFqhChtVwId6eXn3NcCAvxki5NXaw42pU6eyZcuWLitwbNiwgejoaMaNGzfomnZ7/x/44EBAoSuAGdJFiz8kECo29IfH96A8yCHWxn3AuIx44qx6rTV5f1gD2px6+msyh7vaSRPeBQ3BtzDP8RtCOKym8oxlQdcdDro0KPmd/t8VjXxeY3SnrSowgkPcyyfMZR0zTev8+wwaGB0Qr0CMpvfK83FRRC2vU0sRtRDwZ6OFK3Fho8W7rRt+H7yihS0nkdvmjuGc0SnEWw1EmZvID3iodS9qAxs+/JjOCffFBBvq4zECuFB5m+kcCPaYZn0Xpn6forgreJ1ZFDEFOpVSYNnqjUty1x/Y9usuOhKATJZyQ8JhKC2k2LOZfMrIp5XxtJNrrSXFVEWC2nENRQClz8Durd1fSG0t+dRi5RgxmBlBHOckZTM8Kp78zHj0XlLPf0W1TgKcbIrQG1VfiHUOTYxv3dWlEdPoeB6uxOr3YvQGuZIUz07gAMXebfo5k4FkFuGd3N1Nwl4qzSQTWMbT0ccQdQKfweOirYG3vtPDPvR2QIMoAde4PmCe+1E010F2VzTzxpajXec/Hj4MtHo/2BmLhzTcpHiNlc+TwntdP/I9lBps5+cw5R6InUc+Zu91XUr+vBch9f/p//Zfb1fGBvy7DQb8zRAR6WFVVFTQ2NjI6NGjMXnd38WLF7Ns2TLeeOMN/zysmpoaXn/9dRYsWDCoKe0+JjCLYr703+jAcEYQFvRwuwqN3Z5p4gl+qRY91qgCxzo2V/6FgiaFDZmLmDEiWV8uqq4Nj9AnjZbWtTGWbd2f0muwfL2+rpV1uHf7EW9DfQOFF1/LO6szuVx7Qb+eHtDLIZruwjaBx0BwKMwXStzHdsZQjuozhXZoQU9iVIAYi+8cibxOg/88NhJ7FuU9Lphq+NuDcPOjHbpyEnn6O9MoKmvg9y+WonGUf+AzkPrv5LC6WxPYJUzkv7Y8Xqek40ATzGInezQoVgMawEkXg+ak2L6Lpvpmip212MYYoeYItNVBVQ02yrEFhGm46FH48BkIavq7hg4BYjgMm5ZT7E3uKOYQV6JiA5bTSpuhIahz4w9fv3Y//HI5dA67V1djo55impliMEO0yqKxHR4r4vg9tOKqmqDf6vy7NsBm2gIEP1MqgVGBGMAe1FlQ2RfUidJjMJlejzsWjTr0GuXTid+A+eqiDeDchdBQBVUlULML2N/1IpKvgrqt/t/sMK6egNB4R91wqWAKiFQAnMchhisPs1K7hmbPRV3nPzbtCCgjjR20EIXV/wj6ykIFNDMQ8PUpl3wTxsaBrQJb6XxsDUcg/1IYbcM2ZSq01UPZ97Ed+BK+WgoEr5oReF+ymBIeae2qqoY0t8rj6fviq8888wwNDQ2Ul+uz/VeuXElZmT4i+5Of/ISEhATuvfdeXnnlFQ4dOsSIESMA3WDNmjWLG2+8kV27dpGamspzzz2Hx+Pp94SK3lBU1kCh+WoKnF926nHlkk8uxWwi3+tSFQPezo3e0MUvgqbl+oaYb8Kokcf/MUc74ISYZNj6IbDdv8vW9hy3NcRQOP0a5k1K59UNJXxV1oTRoOiTS5VD/t8OWvcs4CEFPawXaER0P8CAzZgFCGznnIvt3JEU5N3P4y9GsdD6R/3BUDs8zSAmXg+71gE7AzbGExju6hxW8T0cusZqRoF/UNmJPglYNel9zTgsgJF8YinGRT4mQuqfHf0j7FwIk6Z2Wa9tLyVMcFdSpsFYc6Ax+qingF8P12boGOP09ooVJ0wIiokaYNgI8LjIt0VTdLic/IwYSLNCe6tusJqPQcNRqD8KNRWQPgrGXwBGK7z/d+AL/9kCGxpfWKsIeP3YW/7tgZ2URcTwOh6CWjv0ENoi1sPKZ+Gqu4MvsrwcqNKvTTGTnxQN7t63I/lJcRQ3B2vpEh4sed2/3z8OFXBssbdsA8ddtU6NbjOQzkhU7BTTRD7JFFOHih2NY12MlZ/M8ZCUCxljoOkMqDoARw4CGzuOOesKaJvBok3vQ/tHQb/b2eNW0W9/pQIZBvRxZQAFhpud/JiX+Zg91FXexGPvxLNgarbXQBT79W3V0zyowuH3rfcCrtxnmFx6u36kiv58q7Bo1lgQGiQkQ9pIcLRCQioYTPqAoykdYpIpMuWy05PPJHEU2+6PgbVB5Q5QMKEHr7Ef6dUT/OCDD3YxWCtWrGDnzp3MmzeP/Hy9Cu3Zs4dVq1YxefJkrrjiipAEPfnkk5SUdPQ233jjDd544w0Arr32WhISErr9nsFg4L333uMXv/gFf/rTn2hvb2fGjBksWbLEr28wKSypp2HGORSvD/YO8snFdtbXsFVkQWkhcKir13XRNfBOHThb4OyvQ8wJFhIWGiAgJhOS8mDNo0BH79RW+wS2uhSKpl3NginZXDA2jaWbS6lucpAsOprWoNCdFXB4/0ygBcRd8kmiOHma3mAa6vVBo7zhoGnYchK59wc/4/EXTSy0PAken5IrwDvQD8AZl0NsGmxJAfdOiJoBE2yw5Xc9XGQG+VR2aZTwPtguYUQREKUYiCGWRd6gXPdjCd1RE/DvFILChK9/HbJ2UVjSQEObi1U7K3G4NdqoJMldQnunBq0YCApAByTUQHeJNfFBSRP+DozXGOshsPPAZAGzFVt+DLZxI0Bzg9sFbic4s8HjApcDWuuhvhQSciE2BcacC5cZYFUUuNb4tXZu/LsPVXYs4ZNPHMVU6x+83rf/Pux6Ag5fDiPGd3zV401AAmyTU/RtWu9eZgpgS47CdqTrdp9OvQzbOn6DbqIXZFMcEHXwJUkE1qMFDIepMyjeX0d+igdblB1baz20NkJdI3rcowmopQhXh2eclAuONmhPhOhESM2D3ClQNQH2F0JMGuSOB20URKfCnmw4/DY+b75zVp4+JjaN181QwS4yDQ7daAWMQ831fEGx6xirNn2DL/dewGNXTcfG4YDySKCIRpIw+5NVBDD5/Nns/vf3Ufm7fuHe57movAlbdoK+ikiMEaJidUOlGgADKBoYjGyphca4cbgMI7HdPA/K9sGnb2BreRMbApgJF36j+xvZj/TKYD388MNBn1944QWOHTvGjh07uhiD3bt3c+GFFx43yeF4HD58+ITHLFmypNtFcZOSknjxxRe7vJ9rKPAttZTPWGBfQGOVii01T+/1RsXD3gRgO/kIioGvA6QNh0tv1j2nvOlg7n7dryA0AZZoiE8Fx92w/n+C9xf+D0Vbamg4+yoSY8wssGWxameFP/Qd2IP1o6+Eo8fULR1jB7b4q7B9/ev6Ma01+qTF+HhABBitn/CbF6OYaHyL9FGPwTfOgKff9J74EsiZCHEJYE2AqnGQdyYkZMOhXVD/TtfrS5+GreoLbN6H3d+wo2uzexLRPAIXRmYwjJPKYMm8CCpeC9jQBi/+jIKrn6KwpB6zUWVvVQuJVJBsbfB3hH1GKKgh0jjhAgaBoSEbujergT8cqxu40YDwriuF3sCoZr0nbLKANQZcLhBuiE2E5CwwR4HJCnEKjD4H5htglQKOj3plyPXf7ejG2DB1XJevl6746oUd3ngUbv4rxMV7DzracbLm7oPdfeMMigOzFLs5ItAQFwN7SWYcSeRT3yXTsuPzRMjJwZaWAppLr8/2FnC2w7B6aKuFxhZorKOYTR2/H58GLqde3s50aGsBayzEJEFyOliTIDYB0MB4hr4tOQO2rAD2demk6KHMLPJzMqAsmUalmDhTWfAYnQvyOUCM589sqt/Pk/9p5W5aOrJBEy3sa4jGQIu/cVcB26gMuPJHbHh9OYnGBv/p/EkSiqIfqYqORQNB74wC00cOo7Ckjqm5CTAsDpKyYPhEOHYNRYUb2Bo9nWlt3SQv9TMhjWE98cQT3H777d16LhMmTPAvPnvzzTeftMBIxb/U0u6vU1TWsfhuftIEiE3XDZYlCowWKI7D5vnUe7O/A7FJIMaA0wFxqXqP50QoKqhGvfEaPwfa7oGtvwtuDMWTFG02YPverRTkJbHjaKN/GMlf4b3/L2IuxYaPdYMl9Ih+MdP0/SPH6MYW9J6YEOAfIxSgebDlJLLo8iv5cNf5XDQxAxKTIPdWKF0D834GMYlgtoI5Rg+txA8DazTMuBRW7QBvr1HXAsUteeTTio31gKdTeBKMhlg0A6RjxGZNPHF5dcY+HD1zLx8mnQ0VRwmaqNv6BravZmH7+g8pb2in2e6i8ZgeWur8EAVp83XjA9qAfIKNVLHXG9Qb4dyOkFXAGCLxufo99i186BvkUBQweBWoRtA8Xk8sGoxm7z4FYlUYPQsuMcJHRmj7oEOQ4QLwdCSw+NAbUAf5WLF5Z4r5jbHSETX2G4+md2HD63Dhjd6GLiDLLLpz6k0ITLue/K13d5s16CPQEH8KuEkAsrBR3214WdeeAJYkMEXpHqrm0o29y60bHNcwSGqBtgby97kpZiv5pIAlRi9rlwVMTv1zfDK0N+tlH50KcUngtOslZTTBxHkQlwUb3gT72iDNrwN200SKPSr5I0wUHzbSQDSJHAA8QUlZObjJUVdyoPUYXwVcM9GJaA1gJBpfuP1yANWALX8EtptWwUtn+etflySJHoZ+bLlJ2HKT9PonhF6vLDGQmMm2injqPNEUlrVgy0vr9vv9RUgGq6yszJ/s0B0mk8k/7nTac+Yiisv+1PE5LY8nN1ZjdbdywdgEbDlngNkC25qAehg3C6xx3vduaLrX1BuDBd7GS4WULJh4ETTUUXxI9zaL8WYwOZ+F/SNg9ndIj7dCD28EsJ05m+LN68DsAQ80CTio5JGfqmLLHQfR3hCPNcFrsKzeBtXbMGkemuxu8jPiO14vf+1DUHINjJmkN2jmKEjMgpgU/WEWHhh+JpyxCL76vV/LLqA5eRLFbg82kwla9LGAQG8kmmxAwYQZUrsPGx+XKhVcKZA3ETImw4xK2LQTqO84ZsMDMPZ8/zpsq1bXgIBmDeI63SJfaLAzvvEiX+iqGMhPSKe4MY58oiHVRn5NaVCaswqQne3NKgloUHzGy/v/ovImthypZ/rwJG+Yx3uswQCqFaIVGH2mXtYfAG2rgAI4czZsCDZYV/o1xlKMis0SrV+XQy/zFgFtnjhSjc3+68kHbJ+9DKNnwEgbgZ0OXKGvk+fn/EXYtr6CjZ10zT3tSgIT2cFwJuL0Hr87yJvxhQdJy9E9UY8JTDG6gTG7weMAjxUciWBth9gEbG1ubEdbgDS9DismvTzdZt3YuV16uWdN6HgmrDH6MUajt2M5VY8ufJkINevBG2bNB3YOH4Ma56G4uoL80UZoTKa4Jo0GNpBocAcOxIGA0coGIDDJxEW+1Uix3RngTcZ5fxcYlgsFT2IrfAwb06CvSRK+OiiELsBiZeqE0RSWdn1FzUAQksGaPHkyzz33HN/97nfJzs4O2ldWVsZzzz03OOv2RQJTp5L/ZgrF1JIPbPfEs69NwWD3MKwabOMzdG/L0QAt9TA6Xw/zRMV6ezKGHns93aKoes8nayxMv5z8Q/spZm1Aj7QFPnkQTEbSoifQ44jCiOmom+egqR+BCnYNDpHBqzUOcMRgi/F6WELTdZpM3spsAE1/mgqGJ+oNaJ53+NcSBWMnd1yPoug9VKNJ1615ICld9xD37aDI/gHF6CH86Jwx5I+Kg+Yk2NZOkfZ5kEGwMonoeCP5mXGQHN378vKR1AyeBsg9A1JzoXEy5M6D0qUBBzngX7/AdvsrkJfEWlr1aI9vPIDgMJXfG+kyeSSRfBo6PN+R2dj2naE3aLmTsNW8D3j81zcW/Ev7BBFYjkBhaRMN7RqFRxqx5SYH1xtF0Xv9MYkwchrM/yHsyYes8ZCcB9suIt/xYZD3ousfRr4lBn+OdPlINA5Rq0CNlkkczf7gq+6tfAUfvwTJD+JbZgmAhGHdFnufSE6GqZfAwTRoWtPDQQr6qhQejIwnJ20cZdWNFEWBrX13UOKOfw5VZp7uCbkc3rocpY8Hejzgsevek9uoG55UF9grIXZYR3RBCP2ZVQ1gdOkhfLvdP4EX0MteNep/ilGPLpxthIp82PxbwOtpXTyL/2zeS6vBQ7HTypXjkrGlJfD33YJydTtZFm8M30VHYrCXYsCmKdgSvR5xpRU9SWas18goeuf4wishbxxkjAr9XgQYLltuMra8burnABCSwXrqqaeYN28e48aN41vf+hZjxuivud63bx9vvvkmQgj+9a9/neAspw82kw2bawtggCn5FG2rpMYtMKQmQkycXtmzpkF7I2RlecMppo73YPQFRfH26uIhdwK2y2/G9k4DBKWvV1P04f/DzE1AD+GV5Fy0eJs3ZbYKjxpNgzOFdoPGnasP8WNLGoum53YYrEBU1T+WpcfHA56qztfjM3LQEWbIGA3nXEbxmi+BRorJ5745U6C5FsrMoLko3laFvqCezrQLZ2FLPIm3XDvsoLVB2giwxOoNeXM5lJYQmF0Hn8H//Z7C3Bu9mjtWYuhpXCWYYRA7A1vLux3HGo2QNkzvrWdNgt2zsdnXBIetkruZT9WJwFfUdFtvfPUqOhFG2PRwc0KKfu0F52P7/MMg/TbANia700lyUNFwYqbONJ56TysZBn2syl+PjrwMRWcGf80cx8nhvZ7ZP4ERW+DNSnTfuzNj0e+Im4nJ+Wx3uEmJTqPY7sJGcLagn+zRkJCpj1l57OBw6J0ntwtElDepxaqPDyZ7wDMC4tK8iQl0GC2h6QbJ44IYk16vO48HWWN142XSDVxRm0oxeeRTope9xcKkEbnsMpnJj3eBxQGmGGY0u/iyzAocAfbrvbhueptFRGFL8j4HlROBRkge2fH7mqZrGDddT6k9WTp7/QNMSAbrvPPOY8OGDTzwwAOsWLHCv05fVFQU8+bN45FHHpEeViAzzofPa0AxYRuVwaQGjcaWeNo8mh7zVg16emx8mh4mA72RD7UeqKr+VMYmw/DJcOHNsOYhoCYgWaGKEfwd6NzI5gJRFDWrlMWMJqepACc7OOoazjEtFqvmptwjWPL5ERYVeBe3VehaaX0PR/cvk+gZg1FvSEcW4OQi3OxC4Wv6Qx6XAhn54Gol/0glxXUV5NOGjVQYPbmPhdQJlxOcbZCQoXt9scmQYYOp5bBtK0Hp3Aeeo8CS64+mBoWXAt6/0G3WXdRoyJsEO9/1boiD5BFgMYExFtJGwegJsHNNcCZfYuIJL6FX71Hzvc0gOhGMZooqWtl2uImphuHYmIMvXblDb3zw5+xMFjmiKHIP47cNGZRqlcQbqojGHVyPPno1+Hvu3mcHdo+3B5+UBNaZkHselHZjsFLHQawZnA5s+WMhKo3iA27yo6Ip2mZFo+PdV35iY3RDExUHWrTuUbna9bEst3cQ1+3UDZrTA45MiAvoQPgbbe8Yo2qgy7yQwGONZj0xw2CiqLkSF2dQ7DNY1jhsI83YcnSPr+hgKcUVteRnjGKWIYrikhhUhuHmc7+9DOSDSjfFrRr5mbHYhg0DRxwMD5gWo6p6gpY5unt9YU7IE4cnT57MihUr0DSN6mo9BpuWltbl9R6nM753EFGcyYK0MdjSU8BkZnpeCltK6piSkwDR0Xq2lyL0FFnf5MuT7bWoKmCAxAwYcxa03wFfPNipET3WJQHAljMVjBa2VrRgSBlOQ9VYjmouSkUm7STiQEMT5oCQQEcD3b2GPqIoYDJDSh5nzF1A8Y6RXGY72xt2MetGPX0StjPbsO1wQsUhyBkD0fEnPvdxEeBJ0L0rRdE9vZRsyC2A2m9A6X+Djrbt0kOFxXQeTSkANgNd06fzSYUR4yBvMuzMRZ+EOU7v3ZuteigqLhUyJ8LOAmwUBgymhxDm7AnffbHEUFh+jEaHkR2eeGxnnQsb1wYcGA0pI4K/a04ERy22jImkfiaoIZ9KUUseB3hdCczC+zz4e46GkxSd0vFPgxEmzITSF7oeljde9xw8TkhIwZaRiS0tFppqeH3baHyJCEH1vlnD5nvcVIMe0jMa9aQLo0M3VkaT3sgbLOBp1qcLdEdvPA5foow1Dlv+WL4qmkq+fRtFeHhvtf6EXjouCdswC7uaNGqVZGg2cOXEFGyZCRQdOsw7VS3EOIvIgqCE2AOkkEEyxY0GbNnjwd0GWXmdfj9grDnCOOmVLlRVxWq1EhsbK41VJwpL6tlb1QLWbIqtZ2EbNw7MFmy5Jr0HpXm8CQsKkApWV3Dc+2RRVP3BSMqCMRdA3W3kFz/XJb3XlwCwkxRsI88Cxci0EcPYJjwcy5yA8aiZJrMZj8uKR3NjUE2YDApFZQ3Ysk7WUHSnWwFrDDbb2dhGjoEE3xQJb88wOQvsk2Bsu559mD1WD3OcDEJ4M+y8UwgMRn28J32MnkRQepigCaFs7+JBbQRs2aPg6Oag7WMZo6eHGy+AMV+DYRMgdTLUJEDmaH0+miVWN1pRcbqXMOYMfS6PXiBdV5E4WVQVhELBiFS2lNQyOWUEOFXgfPT8OoBzdIMdiL0F2mspckXRYmrHbB/DEa2UGE8l6UorxaYewqLO1u629oGAaTIGEwzrbjJ9NiTk6J0NzaHXk+hkvaOjmsk3TaLYtdNf9331fkuNG5vR6A0BoofyjEbvGJURHCZQPPq0AZMFopL0unGyGAzYRmVgu2IOfFzI61UN7K52Y9CcZCVGYctNZmLWMHYJQX5KJsS7QLFQvLcFN1kcNZhwaFsY6RJ6r8gAF2Zlo0SbyM+I1dPqPU49KzEQnzc4iKG8/iJkg7V582b+3//7f6xbtw6n08mqVau48MILqamp4fvf/z533XUXc+bM6UepkYfvLbQQS37+QshLCUhM8HQM2ppVfZkGk7ufDZZ3PMts1R9w26XYjpVjq38z6DCfJzCJ8yF1NKhmPY01O56i9Ch27Y8n1h3PhmoDJbUtaKg0trv1ORwDYbBAb1DjU3VD5AuTCo/eM4yK0zO7HC16eCUxT8/y6g8Cs6BMVr9Hxxkl8NXGoEM7T/xsAsjNh6OpQE3AGFQKtlgznHERjDtX90rHFkBiPGRM0FcW8Lj1azFbIDkNho2B/b5fmNG/9SLgWvX7nABuB9QImH4ubNkB1EPeuR1l70M1gNHE1j0tZGUk025yk1A3lUrqSTZsx0TX5BOdvq96E0xAurTBoIeHmUjQOFb8GL3OmOL0cF58CkQn6GVnicF29jnY1nV4yr7SnZ6Xoj+TJqNexzxu/CE91QRWkz4upRj1MHdUojek1g8oCqTnQe4k8qPr2Zuqj/VNzUsDkwXbyCxsmQm64XE7dcM70UlroaC1PZYaojjk/IyRBn3FjrjEYeRnxuvvF3M06t9JHtH970YgIRmszz//nAsvvJDs7GyuvfbaoIm6qampNDY28vzzz5/2Bqu7MYWgdyxlxeuhQE2fTa6nnvazl+obz4qO0VNtz7sKVpYAHQuW+ueuTDtTb5zN3owmTWNfo4cNlQKjWSMuKgpNUYkxGzkjO2Hg01hVg55ZqHh7g56OlHkShuljCpYofUJmv5WbN8SpKB2D5MkZkD0Njn0Tqt7yH9l54udFDIPMSRA9Fdo+7BiDyp0MCS7IytUzzYSApBF6OSeO0Bs/oemeg6LqUwXSxuoTM8sTYeRkvcc/UPjHVbwGNGO23hkYb9MnxQbi8YAWz7R8jfI99bjt8cTFjie/vI1adyOpHO4++UQNtUORATToY3+BWOPAPBqcAQYrM0sfB4xNATRv4oQ9INKQif5iRn2dQP3+jYIRqd4QmdfzMFm9yUSa902+Hv37vrR0j0ufM9hfWGMguwBbtoZtWsC6oZrmrYcGsLfq9dFgwjbKiC0jFRrLWLp6A/vNZ2JnN+0Mp01Nx9FswjYhT08g8Xh0o32KENJTcN999zFhwgS+/PJLmpubu6wsMXfuXF555ZV+EXiqUVhST0Obq2OGuab5wzOoDEzPxzfQGhsHI6bCxTfD6ocJWigXIHcyJKZ2eBmqypriWiqbDTQ622gTDuxONy6nm/PHjPR6V31MqugLgRmE4DWi3sF7zQNJ2Xqjb4qj2xHoUAlMFlG9SSDDxuheUdV+gtc/9GEEsiAuh6LoERS36T34KwHyz9B7/AnJesOnefRQY70VknP0MJP/Gg0QFa2vG5iRr4+dZI/u/Vy8UPCnPMfouvJngL2FIqeVrVuOMS038MWB3tVMEqxsPebmQGUDZQ0GdrhTGUYmwnWYNFPXV9JgjQlRWy6IxK5p/VGxMHkGbFnZsS1llJ4sExWjJ9GYzR31QjVAaib6ollbAk6UrBtr0O+Lonjvv9e7UoyAx2u4hDc5I1b3hPsLsxXS8rrPtlWtoLj0pdKcKtCmT2Y2mUA1YRrbQsu+JsyoqOQQlxSLLStJn8ivGfTn3tiPWoeYkLqlmzZt4sYbb8RisXS7KG52djaVlV3fpSLRw4SJ0aYO70RVOzyIgXTTFVV/aONTYdQMmHFr12NyR4PJQlFlGy+vP0RReQsXTszAKVTGpseSFmvGrYGqCD7cVcmAGqtur0HRGwzwpvwLfdLxcd6rFBI+b813T4wWSM7UJxRPuqDL4XroL4OvSIPoWIrVYUCad/tIfVHi2LSAJbYUSMyGpOEQl67fF1/4VlH0MZeYRP33siZD0riBD+Eoiu6txidD0ihIG8u2JgONLoVtla16o24062VhjgKjiWkjUhmdmYLRGkVSQg4lztHUecbhdAaWixdTVGh/mcMgPh3SOq2gYDTp4ddAolP1zkVMsv7/qDhdq2+JKmMsmDODv5OR7Z1YbdTPCd75V249TCrcgEH/vsG7cojB1LG6SH+gqvoE+sQelrMzmvRrsETrY50G7zyuxAw0UwqZjKeGXM6dYuPa8yZjG5Wtdz7MMbr33l/h8jAgpFI3mUxd3jsVyNGjR4mNPclB8FOUblOPfYOg/n8PAN7QQlFZA1sPOpmWeia20bfAAV+m1Rl6z1FRvRNQPRQeaeDGWSMYOyyeLUfqiYu28Nm+GqqaHFw0MfP486sGCr/X5fHaywEymr5MKl9IxhwFqSMgeyqUX0ZR/budXg0xkjPS88FiJn/yOIrXTCafI5A2CWKzwNUKvmdCUfR0cYNFDy0ZvHN3wJsWreoNU+oIvbFJHT4w1xh0vV4vy+pNrfe4mBqbQGG1g6l5egp2wMHe3r+RrOQYxqWP5dCRMorrcznkPEaMVk6OpyXohYSEslwWQFomRDfDsG4mHidno78PzDsfLy5LD9tZYjruXeD1WeP1ifm73+3YnpDm7SiogHcCsEF4Q59ubxja+zpug0E3FELTjVd/4ctKPV5d9q0M4+vcOI3gaCV/1EjQBPmJGdjyRutGzYfH7S2HUycZLiSDNWvWLJYtW8add97ZZV9raysvv/wys2fPPlltpxeD0eArCoWljTQ6FbZpCdimL4DmGjhWCFN+AKoFVAMFI1I6JqCqBmzDU/wrJyyantvhCQwB/jHA3HhsWXHo2U4D8EAGpuwr3nGN6Hg9TDeugOINHwKOjiWvzpyhr9SNAdvw0dgKzoaKGO9KEhn6PCSTCVAoOtrAlsPVTB+ejC03hqKyBrYcqmZ6bgK23BRvwxjlHXtQdU9hMFAU3YhGJ4DHgy09Ddv4nsNJenhbQLSCRzHjVNNpNORRrtUQ795CvIDXjd6wqBqiRxI9DMypXT0sVdW9a7KBMsDgnVtm8XrI3dTRqBhIy4XdvokG6BOnjcbgY4XQO0XCpBst4dHDhB434O776jO9wWg68TG+lWFUA6gqReWN7KxpY9KYEdhiNEhM6RpWPMUIqRY98sgjzJ49m8suu4yrr74agO3bt3Pw4EGefPJJqqureeCBB/pVaKQRlFwxwC816wsFI1LYcriGqdmp+hJEZ18JtWfC8AJ/JlpXL9A7iTkM5m74xwBLm7BlD1CGog/Vu1yUgt5IWWP1CaM5U8jf+02K6//bsbrDsAmQNFovQ2ucnq5uUWHYKP2z1tHQbTlST32bh62l9diGp1B4uI7Gdrf+OTcJhOr9vTj0d7WHOP7TVxRFbzijYgMMbM/4VtaYlhPLu3WtDItNxNEymjqtkmPOauI1fRHf14F8LQ5bUgj3yxIFKN3PQ7PGQV4+lJQDQh+/Ug0d2bedjYrJDCk56O9yO6hvix3W9bjA8LzBey5N867kfrIToHugLwbQYARLHFuPldDiNLOr1oEtI8O7rmfAM3oKGq+QDNbMmTN57733uPXWW7nuuusA+PnPfw7A6NGjee+997DZTrxIzalMl+SKMMGWk6inMWse/W/4FEgZrq+00VMvz/cwhUH9L8hLYuX2ctqcborKW3QvayBDHoGTLA0mfWwpKRvb9HOxfVwJ2jrgXMiY6H3xnVlvGK0pemZgfLp33KPjUZs+PIktJXVMy4kHISgYnsCWI/VMy03oaBz9BkvRw1CDhaJ4xz1OvCyYv2Ojaew71sTRqnj2trRg9+QRRSMpWilJHmgywPbGOGz5I/qux5mmZ8THd2PsrFbIyYe6vfq9scR0JFB0p11R9XtEJvrCvFrHIs7HQ/GGAw0GMIqOKSlDiaoybUwuWw6UMzEjCqKt3nBlwEOqeP9zuocEAS688EKKi4vZtm0b+/btQ9M0Ro8eTUFBQUhvJz6VKCpr8M6/gq9N6IdFP/sb37gM6B5DVFzvBmZ76rkOIracxI7OwJEGPcw5kJ5s0Goe3pBMTBKk5YNtBlQnQvYEfZDfFKc3EkaDnlrtsetGRzV615nTw1SdPVj/Z996dGiA3kAWVTvYUnaM6SPSdO9roPFdb1+SgFSVJrvG2Lx0Co9W0EYWZqqpUkaT4D5IlSGP/KQU3QPoK6YofTypuyxJ1QA546Fhpz+cfVzNigKWRD1EW5cNeLxjR30g8HUuQ4z/lR9Oh76UlNHU6fq9/z6F2uOTLvmpU6cyderUfpBy6lBYUk+02UhitCmsvKsgfFlpBu+M/t6OS4VB5Q9c5HVQPNnA0KBq1Ae2kzMg16anoKeP9U5QNXtfL2HU5zRpTn21Af/bW31lpxvA5VtK+XDXMS6alMmiglx9l9ulGy6PB1SVrWUNNLR5J2kPhsHyXa+X3oa2C0amsfVQFRfmj2LT3hJcprGUO2owYaKdYRTXaKGltntMHW8D6Iyi6NmXWVMATe90dfImuuiPToT04VC3BxAQldqn6wxLzJZujFUAYfDM9hchGSxVVUlPT+e1117jggu6pvm++uqrXHfddXg8Jzu7PTIJWjU7nPHNz1KIqLBBZw9lcMo6YEKxybuEUlKe7gGk5enGSjXoGWYmM7gMuifmTwIIPJW+ksaHu6qob3OzeldVh8HyGUc0EArTcpPYUtrA9BEnXq19IPB1CFZuLz9ug27LSdTn5WkjKdqfxurNcezZf4wKl4laMphgtIYW2nT7yqMbFEVPvIjLRB/rs4CiBBmfLh0as0V/o3eptzzjk4OuM9xC+L3mNFkWL2QPy263c9FFF/HEE0/w05/+tD81RTz7qprZcLCWeKsx/Ct/GIT5ToZerVDeH6gBDadq0ENJcSlgNFFUr1F48AjxViNN7S4KMq3YUowd7zPrgYsmpuse1sT0jo2Kip6yr88zs+Uk6p6VoRdZZH2g156Tt9Fvc7pP3KB7J8DbRuViS4/mtj9V0GKy4CKeBZPTvZNv+8iJEn2iY/U5bb6VSVRDkPHp0nk0W/Rko8xMfazQuwpExHQyT3NCNlhPP/00Gzdu5K677mLz5s387W9/w2o9dSaonQyrd1VR3+YK7jmHMxFqrAYd/9wsdAMSHa83kPuqadCMbDhYS35GPFuONmFLH+ZdWsdIkHcGXg8LFk3PZdH04cG9Y9/4ouah6EgtW0vrmTY8ud9fPd5bj8LXIQg0cMdFMYAqwBiDbdJwvtzh4fzx2dgyo/X18Pobk0lf3Bn8qfOBxqdLh0ZR9WzC5DH6vfSuMjJoHR/JSRGywTKZTDz77LPMnDmTW2+9lV27drFixQqGDx+ESY5hzsUT01m9q4qLA3vOksinu7lZKBSMNlJ4tI2LJ6bTZHczPTdeN2gm7ytRjhuu6Sb10utlbS3VjcqWI/X9brD66lH0ukFXVT0tPyqaFqESnZRKixpzciFnX5Zet7/nnW4QEDY8rlZV1b2q1BF6h8LU8zwzSfhx0kkX1113HTabjUWLFlFQUMDSpUtP/KVTnLHpcTTZ3YxNH6QJnyES0QPNQ4U/NOh9UZ/Zgi03BtuIgM6JEOCyB2djdiEg87DLLgXQx6+2ltYzLa//x6/606PoUo8MRnA7qWw1U9UkiI8bQMPgy9rzLR7dG6yJFLWrFFe0kZ/ZgG14L1LbJWFBv+RnTp06lcLCQr773e8yf/58zj///P44bcSycns5e6uaKW9oD2tDEOkDzUNmcH2hQd+KCp2NjqJ0rLzek8FS1eOPHaqGDqMS5gkx3dYj1UhKSgJ1DkFcSuLACujryiuWKIrrVVq1aN17DRODJTuQJ6bfnoTExETeffdd7rvvPj755JP+Om1EUt3soKy+nepmx1BLOS5dFuKNMAIbykHF6wEd/xi1Y7rAcc/TAxGU9dVtPVJVLrNlM3tiJgum5QysgG7KsaisQV/Auayh6/EmC/l5w4lKTGT6iNSu+4eIIavPEURIHtahQ4dI67y2F6AoCo888ghXXnkltbW1Jy0uUkmLs5CTFEVaXHjHxyN9oHlIM7sCswa7ozdG7YS/4X0VSZh5WJ0TMHryCmy5KfqqKkOgv7CknuJKPVv3trljgrWpKraxY7GNEV3f9zWEyEzFExOSwcrLyzvu/smTJ4ck5lRhwZQsWfEGgSE3uIHLNnXZ512B/2QyMNUBeKFnPxDoCZQ3tLO3qqX78LeqgtqPq5r3gYK8JDYcrCUx2tw15K2qHUs4DQE9hf76oz6f6mHFXhmsRx99FEVRuP/++1FVlUcfffSE31EU5bRdAHfIG1LJ4HAio3SKThcI9AT0JcjCYJHJTthyErlt7pieO47mqCFbHHYgx44jfVz6RChCnPiuqaqKoii0t7djNptRe9HrUxQlYle6aGpqIiEhgcbGRuK7W3RTIpEAp36PfiAYyDKLxPvRl/a2VwbrdEMaLEk4EYmN0GASqeUTqbr7m760t+EXIJdIJEGEc/bYcbPxBolwLp/j0R+6w6H8BxNpsAaA060ShSvhfh+WF5byo39uZnlh6XGPC+fpB+FgLMK5fI7H8XT3tu6GQ/kPJr1Kuhg5cmSf33GlKAoHDhwISVSkc6oPfEYK4X4ferPmZDiFjbrTEvRCzbKGIdF4oiSncCrDQI6nu7d193RLhe+VwZo9e/Zp/1LGvnC6VaJwJdzvQ2/WnAwno9udlqAXaoaBxu4Id33d0du6e7plJMuki26QSRfhS7j2lnviRHpPdv9g0pOWcNLYHeGu73RHZgmeJNJghS8vrz9EQ5uLxGgTN547cqjlnJAT6Y2065EMLaei8e1Le3tSi9+6XC727NlDY2MjmtZ1xn93byOWSE6GcA/zdeZEeiPteiRDSySGN/uTkDwsTdO49957ee6552hra+vxuNN94vCp2BsaTE6n8judrjVSGOh7Esr5T8V6MuDzsH7961/zxBNPcO211/KPf/wDIQS/+c1v+Otf/4rNZmPKlCl88MEHIYk/lQinlNNwT/HujnAqv95wMmUcadd6OjDQ9ySU89tyErnx3JGnjLHqKyEZrCVLlnDVVVfxl7/8hfnz5wNQUFDAzTffzIYNG1AUhTVr1vSr0EgknOaHRGKDGE7l1xtOpowj4VojsdNzMgz0PYmEe94TQ1UXQhrDKisr45577gHAYtFfoWG32wEwm81ce+21/OEPf+DXv/51P8mMTMIp5TQSx0rCqfx6w8mUcSRc6+k2fjLQ9yQS7nlPDFVdCMlgpaSk0NLSAkBsbCzx8fEcPHgw6Jj6+sjpyfc34RBn7qwhkh+OSCGUMg6HunIifBrjrXpzcSKDHAnXJDk5hqoDHJLBmjZtGps2bfJ/njt3Lk8//TTTpk1D0zT+9Kc/MWXKlH4TGWmEQ080HDRITsxQ3Ke+GhSfRqBXqfey7p36BHbOBrODEtIY1i233ILD4cDh0F8B/9hjj9HQ0MAFF1zA7NmzaWpq4ve//32/Co0kwiE2HQ4aJCdmKO5TX8fa+qKxqKyB8oZ22pxuWfdOEwZzfLzfJg43Njaydu1aDAYD55xzDsnJyf1x2iFBThyOLGQIqm8MRHn5zlne0E602SgnQp9GnGx9GrSJw4EkJCTwzW9+s79OJ5H0GhmC6hsDMZ4ZGDaUnv3pxWCOj5/0ShdHjx6lvr6e7hy16dOnn8zpJZJeEYkZkD0Rqd6i7x58bcKwiNItiSxCMlgNDQ3cfffdvPrqqzidzi77hRAoihKxK11IIotTKQMy3L3FngzqqXQPJOFLSAbrhhtuYOXKlXznO99h5syZJCQk9Jsgh8PBgw8+yD//+U/q6+ux2Wz86le/4uKLLz7u9x5++GEeeeSRLtstFot/jphEEu6Eu7cY7gb1dCJSvfGTISSDtWrVKu644w6eeuqp/tbDDTfcwLJly7jzzjsZO3YsS5Ys4dJLL+Xjjz/mvPPOO+H3//KXvxAbG+v/bDAY+l2jRNIX+tKwhLunEu4GNZBTvUE/HTsPIU8cHjNmTH9rYePGjSxdupQnnniCu+++G4DrrruOyZMnc8899/D555+f8ByLFy8mNTW137VJJKHSm4YlUhrXcDeogZzqDbqv8xBvNfLy+kNhX3f6g5DnYS1durTbV4qcDMuWLcNgMHDLLbf4t1mtVr7//e/zxRdfUFpaesJzCCFoamrqNglEIhkKejOPKRLXegx3TvW5iL6FcJvs7tOm7oTkYT3wwAM4HA7OPPNMvve975GTk9Nt6G3hwoV9Ou/WrVsZN25cl1z8s846C4Bt27aRm5t73HOMGjWKlpYWYmJiuOKKK/j9739PenrPryCXSAaa3nglkRRqixQiyRsMpK/e9ulUd0IyWEePHmXNmjVs27aNbdu2dXtMKFmCFRUVZGZmdtnu21ZeXt7jd5OSkrj99ts5++yzsVgsfPrppzz77LNs3LiRzZs3H3dCWuCqHaBPZJNI+oveNECR2rhK+p++hjJPp7oTksG66aab2LJlC/fee2+/Zgm2t7f7V38PxGq1+vf3xE9/+tOgz4sWLeKss87immuu4bnnnuN//ud/evzu448/3m2GoUTSH5zqYymS/uV08pj6SkhLM8XExHD33Xf3eyM/efJk0tPT+eijj4K279q1i0mTJvHXv/6VH/7wh306Z2ZmJpMmTeLDDz/s8ZjuPKzc3Fy5NJOkX4iUhAqJZCgY8KWZMjIyBmStwMzMTI4ePdple0VFBQBZWVl9Pmdubi51dXXHPcZisXTr2Ukk/cHpFLIZCmSH4PQhpCzBn//857z44ov+d2L1F1OnTmXv3r1dxpA2bNjg398XhBAcPnyYtLS0/pIokUjCjJXby1lbXM3K7T2PcYczp9ubnE+GkDwsu92OyWRizJgxXHXVVeTm5nbJElQUhbvuuqtP5128eDFPPvkkL7zwgn8elsPh4OWXX2bmzJn+DMEjR47Q1tbG+PHj/d+trq7uYpj+8pe/UF1dzfz580O5TIlEEjFE7jQWOcbZe0Iaw1LVEztmoa4leNVVV7FixQruuusuxowZwyuvvMLGjRv56KOPuOCCCwCYM2cOn3zySdBcq+joaL797W9zxhlnYLVa+eyzz1i6dClTpkxh/fr1REdH91qDfL2IRNJ/DHTILtJDgpGu/2QZ8DGsQ4cOhSSsN/zjH//ggQceCFpL8J133vEbq5645ppr+Pzzz1m+fDl2u528vDzuuece7r///j4ZK4lE0r8MtAcR6WOEka5/MOmzh9Xe3s7999/P3LlzWbBgwUDpGlKkhyWR9B+nuwchOT4D6mFFRUXx/PPPM3HixJAFSsIH2ZhIBhrpQUj6i5CyBAsKCtixY0d/a5EMAXINO4lEEimEZLCefvppli5dyosvvojb7e5vTZJB5FRfIFQikZw6hJQlaLPZqKmpoaqqCovFQnZ2NlFRUcEnVhS2b9/eb0IHEzmGJRlMZFg2fJD3YvAZ8CzB5ORkUlJSyM/PD0mgRCLpQM7DCR/kvQhvQjJYa9eu7WcZEsnpi1zsNHyQ9yK8CSkkeKojQ4ISiUQyOAx4SBDA4/Hwr3/9i3fffZeSkhIA8vLyuPzyy7nmmmu6faGjRCKRSCShEpKH1djYyLx589i0aRNxcXGMGjUK0FfAaGpq4qyzzuKDDz6IWO9EelgSiUQyOPSlvQ0prf3++++nsLCQP//5z1RXV7Nlyxa2bNnCsWPHeOaZZ9i8eTP3339/SOIlEolEIumOkDys7OxsFi9ezB//+Mdu999xxx0sW7bsuK+0D2dOdQ9Lpu5KTnfkMxA+DLiHVVtbe9yU9vHjx5/wpYmSoUOubiE53ZHPQGQSksEaM2YMb7/9do/73377bUaPHh2yKMnAEq6rW/T0Ijv5gjtJfxOuz4Dk+ISUJXjbbbdx++23c+mll3LnnXcybtw4AIqLi/nTn/7E6tWreeaZZ/pVqKT/CNfFSHuatCknc0r6m3B9BiTHJ2SDdezYMX7zm9/wwQcfBO0zmUw8+OCD3Hrrrf0iUHL60NOkzdNxMqccY5FIunJSE4dramr48MMPg+ZhXXTRRaSmpvabwKHgVE+6kIQ/L68/REObi8RoEzeeO3Ko5UQc0uBHDoMycRggNTWV73znOydzColE0g2R7FWGg7GQYeRTk5MyWM3NzZSUlFBfX093jtqJXmsvGXzCoTGRnJhIHmMJB2MRyQZf0jMhGaza2lpuv/12li9fjsfjAUAIgaIoQf/27ZOED+HQmPQX0viGJ+FgLCLZ4Et6JiSDdfPNN7Ny5UruuOMOzj//fJKSZC8mUgiHxqS/CGfjezobU2ksJANFSAZr1apV3HXXXfzud7/rbz2SAeZUakzC2fiGszGVSCKVkAxWdHQ0I0aM6GcpEknfCGfjG87GVCKJVEJa6eLaa69lxYoV/a1FIjllsOUkcuO5I8PWoIaCXHFEMtSE5GEtXryYTz75hPnz53PLLbeQm5vb7fuvpk+fftICJRJJeCDDnJKhJiSDdd555/n/vXr16i77ZZagRHLqIcOckqEmJIP18ssv97cOiUQS5oTzmKHk9CAkg3X99df3tw6JRCLpN07naQWnMiElXQRSUVHB9u3baW1t7Q89EolEctLI912dmoRssN566y3Gjx9PTk4O06dPZ8OGDYC+IO60adNkFmEEIrPAJKcK8n1XpyYhGayVK1eycOFCUlNTeeihh4LWEUxNTSU7O5slS5b0l0bJICF7pZJThVNxWoEkRIP16KOPcsEFF/DZZ5/x4x//uMv+s88+m61bt560OMngInulEokknAnJYO3YsYOrrrqqx/3p6ekcO3YsZFGSwcUXCgRkr1RyXGTYWDKUhGSwoqOjj5tkcfDgQVJSUkIWJRlcZChQ0ls615VINGCRqFmiE5LBmjt3Lq+88gput7vLvsrKSv72t79xySWXnLQ4yeAQqaFA2fAMPp3rSiR2diJRs0QnpHlYjz32GLNmzWLGjBlceeWVKIrCBx98wJo1a3j++ecRQvDQQw/1t1bJABGpE0LlUkGDT+e6EomrX4SbZjlnrPcoortXBfeCnTt38tOf/pSPP/44KEtwzpw5PPvss0yYMKHfRA42TU1NJCQk0NjYSHx8/FDLkfSAfNAlpwIvrz9EQ5uLxGgTN547cqjlDDp9aW9DNlg+6uvr2b9/P5qmMWrUKNLS0oDgNxBHGqeTwSoqa2Dl9nIAFkzJkg2/RDLInO4dr760tyGFBANJSkpixowZ/s9Op5MlS5bw5JNPsnfv3pM9vWSAKSypZ29VCyBkaK0PnO6NjKT/iNSQ/FDQJ4PldDp5++23OXDgAElJSVx++eVkZWUB0NbWxjPPPMPTTz9NZWUlo0ePHhDBkv6lIC+J8oZ2/78lvUOOn0kGE9lB0um1wSovL2fOnDkcOHDAP2YVFRXF22+/jdls5rvf/S5Hjx7lrLPO4s9//jMLFy4cMNGS/kP27kIj3AbuJac2soOk02uDdf/993Po0CHuuecezj//fA4dOsSjjz7KLbfcQk1NDZMmTeJf//oXs2fPHki9EklYIA19+NJbbyRcvJbe6OhLB2kwrmuoyq7XBmv16tXceOONPP744/5tGRkZXHnllVx22WW89dZbqOpJL/4ukUgkJ0VvvZFw8Vp6o6MvHaTBuK6hKrteW5iqqipmzZoVtM33+aabbpLGSiI5TQj3Cdu9nQgfLhPm+1vHYFzXUJVdrz0sj8eD1WoN2ub7nJCQ0L+qJBJJ2LJyezl7q5opb2gPy7Bob72RcAnr9reOwbiuoSq7PmUJHj58mC1btvg/NzY2ArBv3z4SExO7HD99+vSTUyeRSMKU8JhjGS7jUJLBodcTh1VV7XYicHcThH3bPB5P/6gcZE6nicPhzKnaGIX7dZ1IXzjpP91XiTgVGJCJwy+//PJJC5NI+kJ3A7vh1FiGSrgM9vfEifSFSygNTt3pBadCPR8Iem2wrr/++oHU4cfhcPDggw/yz3/+k/r6emw2G7/61a+4+OKLT/jdo0ePctddd7Fq1So0TWPu3Lk89dRTjBo1ahCUS/qb7hqjcG/se0O4NrK+RjLeqjcL4aavO8LJePYnp0I9HwhOei3B/ubqq69m2bJl3HnnnYwdO5YlS5awadMmPv74Y84777wev9fS0sL06dNpbGzk5z//OSaTiaeeegohBNu2bevT+7lkSDB8kT3PgUOG14aWwHU9x2fE0WR3nxb1fFDXEuxPNm7cyNKlS3niiSe4++67AbjuuuuYPHky99xzD59//nmP333uuefYt28fGzdu9K9t+PWvf53Jkyfz+9//nl//+teDcg2SgeVU61F3NsBDaZC78/w6L44MhFWHoS/ltbywlNW7qhifEUdCtDlsrsFH4LqeWYlRJ+w0hEvdGczfDavJU8uWLcNgMHDLLbf4t1mtVr7//e/zxRdfUFpaetzvzpgxI2gh3vHjx/O1r32N//73vwOqO9II93k0pxOdXyYY+Nl3n5YXlg7K/bLlJHLjuSNZs7uK+U+v4+nVxf5GdG9VM4Ul9WH38sOe9HRXx1fvqqK+zcWb28pZuf0oj7+3OyyeAZ/WeKuRcemxjEuP61U49nh1ZzAZzN8NK4O1detWxo0b18UtPOusswDYtm1bt9/TNI2ioiLOPPPMLvvOOussDhw4QHNzc7/rjVTCrdE5nek8ATPws+8+rd5VNaj36/2dVTTbXby/s4qCvKSgRjRcJtv66ElPd3X84onpJEWbyEuJprHdjcOthcUz4NPaZHdz/2UTuf+yib3yVI5XdwaTwfzdsAoJVlRUkJmZ2WW7b1t5eXm336urq8PhcJzwu/n5+d1+3+Fw4HA4/J+bmpr6rD2SCNdB/9ORziHOzp8LS+q5eGK6fzxjMJg/KZ33d1Yxf1J6tyHYcAqj9RQi7q6OLyrIZVFBblCYMxyegVCfxxPVncFiMH83rAxWe3s7Fouly3bfihrt7e09fg8I6bsAjz/+OI888kif9UYqp9o40KnKUN2nOy/O586Lu+/cRQrHK7twq//hpiecCauQYFRUVJCn48Nut/v39/Q9IKTvAtx77700Njb6/443ViaRSCSSoSGsPKzMzEyOHj3aZXtFRQWA/2WRnUlOTsZisfiP68t3QffMuvPOJBKJRBI+hJWHNXXqVPbu3dtlDGnDhg3+/d2hqipnnHEGmzdv7rJvw4YNjBo1iri4uH7XK5FIJJLBI6wM1uLFi/F4PLzwwgv+bQ6Hg5dffpmZM2eSm5sLwJEjR9izZ0+X727atCnIaBUXF7NmzRquvPLKwbkAiUQikQwYYbfSxVVXXcWKFSu46667GDNmDK+88gobN27ko48+4oILLgBgzpw5fPLJJwRKb25uZtq0aTQ3N3P33XdjMpn4wx/+gMfjYdu2baSlpfVag1zpQiKRSAaHiF3pAuAf//gHDzzwQNBagu+8847fWPVEXFwca9eu5a677uJXv/oVmqYxZ84cnnrqqT4ZK4lEIpGEJ2HnYYUDjY2NJCYmUlpaKj0siUQiGUCamprIzc2loaHhhC8DDjsPKxzwrYrhGzOTSCQSycDS3Nx8QoMlPaxu0DSN8vJy4uLiun1ppa9HEIkemNQ++ESqbpDah4JI1Q2haRdC0NzcTFZWFqp6/DxA6WF1g6qq5OTknPC4+Pj4iKtQPqT2wSdSdYPUPhREqm7ou/YTeVY+wiqtXSKRSCSSnpAGSyKRSCQRgTRYIWCxWHjooYcicjknqX3wiVTdILUPBZGqGwZeu0y6kEgkEklEID0siUQikUQE0mBJJBKJJCKQBksikUgkEYE0WBKJRCKJCKTBkkgkEkmvGOocPWmwJEPKUD8AEslg0djYONQSQua1114D6HapusFEGixg69atHDlyJKhCRUpD2tbWNtQSQuLgwYO0tbVht9uHWkqf2b59O/v27aOsrMy/LVLqy1tvvcVtt93GwYMHAX3dzEjgP//5D3Fxcaxfv36opfSZN954g0suuYSnnnqKw4cPD7WcPrF06VJGjx7N1VdfzWeffTbUck5vg7V7927OO+88vva1rzFlyhTOOussli9fjtvtRlGUsG6EiouLKSgo4Ac/+MFQS+kTRUVFXHbZZSxYsICRI0cyZ84c1q9fH9Zl7aOoqIiLL76Yyy+/nIKCAqZMmcKf/vQnf30Jd1avXs23vvUt/vnPf/LOO+8AnHCx0aFm69atzJw5k5tuuonLLrssotbWKy8v57LLLuO6667DbDYTHR1NdHT0UMvqFb5yv/7664mLi8NqteJwOIZaFojTlKqqKjFt2jRxzjnniJdeekm89NJLYtasWSIxMVE89NBDQgghNE0bWpHdoGmaWLZsmRg3bpxQFEUoiiLWrl071LJOiNvtFn/6059EWlqamD17tnjwwQfFbbfdJnJzc8X48ePD+hqcTqd47LHHRGJiopg9e7b485//LP7zn/+IOXPmiPj4ePHGG28MtcTj4qvHhYWFIiUlRURFRYmZM2eKbdu2CSGE8Hg8QymvW9ra2sSNN94oFEURs2fPFm+99Zaoqqoaall94qGHHhITJkwQr776qjhy5MhQy+kVjY2N4rrrrhOKoog5c+aIt956S7z77rvCarWKJ598UgihP8tDxWlrsJYuXSqMRqNYtmyZf1tZWZn49re/LRRFER9++OEQquuZAwcOiMmTJ4uUlBTxq1/9SkycOFHMmjVLuFyuoZZ2XN5//30xatQocdNNN4k9e/b4t69fv14oiiJ++ctfhu01vPvuu2L69OnizjvvFHv37vU/sPv27ROKoojf/e53Ydm56cyyZcvEJZdcIv76178KRVHEfffd57+WcNLvdrvFY489JhRFETfffLOorq7usW6Ek+5Ajhw5ItLT08Udd9zRZXsg4aS/tbVVjB07VowaNUr85S9/ESUlJUIIIQ4ePCiSkpLEwoULh7xzc9oarN/+9rciISHBfwOcTqcQQu+FnnXWWWLy5Mlh2aMrKSkR9913n793/OyzzwpFUcSLL744xMqOzx/+8AcxYcIEcezYMf82h8MhhBBi1qxZ4uKLLxZChNcD7OOzzz4Tv//974O0CyHEihUrxLBhw8Rrr70mhAhP7UJ06NqwYYNISEgQQghx0UUXiczMTLF69eqgY8KFzZs3i3PPPVeMHz/ev+2tt94S119/vbjnnnvESy+95K8/4ci6detEdHS02Lt3rxBCiH/84x9i4sSJYuLEieKKK64Q//73v4dYYTC+dvDzzz8XO3bs8LeHPmbMmCHmzJkj7Hb7kNaVU95g+W5E50J+6qmnRFxcnPj444+FECKop/naa68Ji8Uifv3rX3f73cGiJ+12u93/7+LiYnHJJZeInJwcUVNTM6j6eiJQd6D24uLioP1C6OU+Z84ccd5554n29vbBFdoNPZV5Zz799FMxefJkER8fLx5++GHx1Vdfifr6+qBzDDYn0r5s2TIxZswYIYQQW7duFYqiiOuvv17U1dUd93sDTU+6fZ7gz3/+c3HJJZcIRVHEmDFjRFxcnFAURSxcuFDs2LEj6ByDTU/aN2/eLIxGo1ixYoV46aWXhKqqYvHixeL6668Xw4YNE4qiiJdffnkIFHfQm7quaZrweDzixz/+sUhISPDX8aGqK6eswfKNO3T2PHwFvXr1amGxWMTDDz/s3+a7gZWVleKqq64SaWlpQ9KL60l7T7z22msiKipK3HPPPQOs7Pj0VbfPoE2bNk18+9vf9m8bCnqj3Vc/fvnLXwpFUcTcuXPF9ddfL77//e+LxMRE8Z3vfGew5AZxIu2+Mt24caOIi4sT5eXlQgghvv/97wuLxeLv7be2tg6OYC8nekZLSkrE4sWLhaIo4sILLxTvv/++KCkpEUePHhX/+7//K1RVFVdeeeWgavZxojLfvHmzSE1NFddee62YMmWKeOCBB0Rzc7MQQoiioiIxb948kZKSInbv3j2YsoUQfX9OhRDigQceEIqiiLfffnsAlZ2YU9JgrVu3TkyaNEkoiiIuueQSsWvXLiFE18Zw+vTpYtq0aeKrr77qsv/VV18VRqNR/OUvf+n2u0OtPXDbsWPHxE033SSsVqu/xznYDX9fdAdSWloqYmJixOOPPy6EGJoB3d5q931esWKFeO2110RNTY1/27333itUVRVPPPGEEGLwevx9Kff//ve/Yty4cf5Qd1NTk4iOjhZz584VN954o/je977nN2bhovvVV18VN9xwg1i/fn2Xfddcc41ISEjwN6Lh9oyee+65QlVVkZqaKj7//POgfatWrRLJycnipz/9qRAiPOtLoK5PP/1UKIoi/vvf/x73+IHmlDNYX3zxhRg/frwYMWKEuPLKK4WiKOK3v/1t0KCtr1F86623hKIo4le/+pU/HOXbV1xcLHJycsQtt9wyaJWpN9p74qOPPhLZ2dniW9/61iAoDeZkdK9bt04oiiI++OCDQVDalb5oP95Dum/fPjFmzBgxZcqUoJDtQNJb7T7dn376qYiOjhalpaX+fVdffbUwGAzCZDKJhx56SLS0tISFbp/mxsbGLmOHvuO+/PJLoShKUJQkHLT72pD333/fn8nr86R8EZtjx46J+fPni9zc3LCrL92xY8cOkZSUJH7yk58IIaTB6jd27dolLBaLeP3114UQQpx//vli7NixYv369d0ef+mll4qsrCyxcuVKIURwD3/SpEniuuuuE0IMzg3qq/ZAXS0tLX63/aOPPhJCCPHJJ5+It956K+i4cNHt47nnnhNGo9EfLnG73eLAgQNi8+bNA65biJPTLkRwz/jss88Ws2bNGrQGqLP2Cy644Ljaly5dKvLz80VDQ4P4+OOPxXnnnScMBoOIj48XY8aMEZ9++qkQInzLvHPovrq6WiQmJg5qKLyv2q+55hqhKIr44Q9/KIQQQcZh8eLFYuLEiaKxsXHghYuTq+vHjh0TeXl54mtf+5poamoaaKk9ckoZLJ+xCeyR+Xrwd9xxh79iBDYyJSUlIjY2VsyaNUts2bLFv/3LL78U8fHx4pFHHgkr7d01Jr7r2bNnj5g+fbo444wzxCOPPCJyc3NFSkrKgGY7noxuIYRYsGCBOOecc4QQenjwX//6l5g2bZqYPn26qK2tHTDdJ6u9s9f9wQcfCJPJJO68884BVNxBX7T79H/00UfCbDaLyy+/XBgMBnHuueeKdevWif/+97/+RnWgx2z7s8yfe+45oSiK+Nvf/jaAijsIpX0pLS0V8fHxXaIIO3fuFKNHjxbXXnvtoHSG+6PcFy5cKCZNmiRaWlqkh9VXli5dKn74wx+K3/zmN2LdunX+7YEF6Svo66+/XiQmJoo333wz6By+m7hkyRIxfPhwMXLkSPGnP/1JvPjii2LBggUiNzdXFBUVhaX27igpKRE33HCDPwzxzW9+Myj8E066NU0Tzc3NIjMzU3znO98RH374ofjGN74hFEUR8+fPF2VlZf2mu7+1B1JeXi5WrlwpZs+eLSZOnOgfDw1H7evXrxc2m01MmDBBPPPMM6K0tNT/DJx77rni5ptv7leDNVBlXllZKVasWCFsNpuYPXv2gGTH9mf7snTpUpGZmSmSk5PFzTffLH7961+Lr3/96yIpKWlAQuEDUe6apolf/epXQlEUf7bvUBitiDNYlZWVYt68eSImJkZMnz5dJCUlCYvFIh566CF/ymXnyZBlZWUiNjZWLFy40N+AezyeoAJfu3atOPfcc0VCQoJISUkRNptNfPbZZ2GrvTOffvqpmD9/vlBVVUybNq3XIa2h1L1//34RHR0tpk+fLmJjY0V+fr4/nBnu2teuXStuvvlmsXjxYhEXFyemTJkiNm3aFJbafWEop9Mp1q1bJ7766iu/YfJ9rz+nFAxkmf/oRz8SV199tYiNjRXTp0/3z0cMR+2B7cv69evFvHnzRGJiohg2bJiYNm1akDEJN+3d8dRTTwlFUYIWWxhsIs5gvfLKKyI5OVm8+uqrory8XNTW1oobbrhBxMXFidtuu63L8b4b89hjjwlVVcULL7wQVJEC/93e3i6qqqr6veEZKO2BfPjhh8JsNotnnnkmYnSvWbNGKIoihg0bNiC6B1L7ypUrxZgxY8ScOXPESy+9FDHaB6NXPFBlvmzZMhEbGytmzpw5YGHAgWxfHA6HqK+vF9u3b48I7T58BqyiokIsWbJkQLT3logzWLNnzxazZs0K2tba2iquv/56oSiKePfdd4UQXXsJTqdTjB49WsycOdM/+/zAgQNBMd2BzgYcSO1CDFxKeH/rDhxTe/7557vMqo8U7QcOHBjQOtOf2vfv39+lvkSC7s5lvn379gGd+iDbl+61h8tKKBFjsDwej7Db7WLevHni3HPP9W/3hTsKCwtFQUGBGDVqVJfC7ZzG/stf/lK8/PLLYvr06eKOO+4Y8AmTkap9IHUPdKbRQGof6NTvgdTe1tYWkbojucxl+9J/hKXB2r17t/jpT38qfvKTn4j777/fb/WFEOKKK64Q+fn5/sHtwN7CCy+8IBRFEU899ZQQoqvH4XK5xIwZM4TBYBCKoojMzEzx/vvvS+0RrFtqHxrtkapbah867f1BWBksh8Mh7r77bhEVFSXOPPNMMXbsWKEoihg1apR/7sCyZcuEoijipZde8t8QX+EfPnxYfO1rXxMjR47sMqi8ZcsWcf/994vY2FgRFxcnnn76aak9gnVL7bK+SO2Rob0/CRuD1dzcLO677z4xatQo8dvf/lYUFxcLj8cjPvzwQ5GVlSXOP/980dbWJtxut5gyZYq44IILxOHDh7uc5+GHHxaJiYn+eK0Q+o25/fbb/Yt9+iapnu7aI1W31D402iNVt9Q+dNr7m7AxWIcOHRIjR44UP/zhD0VDQ0PQvh/+8IciLS3Nv/rBP//5T6EoivjDH/7gj7H6eg1bt24VqqqKFStWCCE64rgbN270r5sltUe2bqld1hepPTK09zdhY7A0TRMvvPBC0DZf9th///tfYTQa/etxNTQ0iIULF4qMjIwuE942btwoFEURr7zyyuAIF5GrPVJ1CyG1CyHrS1+Q2odGe38TNgZLiA6L33lA8IknnhAGgyHoTbWlpaUiPT1dTJo0yT84ePToUXH77beLvLw8UVlZOXjCReRqj1TdQkjtsr70Dal9aLT3J2FlsDrjGzj86U9/KjIyMvy9Ct9N++CDD8T06dOFoihi6tSp4uyzzxYmk0k88sgjwu12D+ncgUjVHqm6pXZZX6T2yNB+MihCCEGYc+aZZzJixAiWLVuGx+PBYDD499XU1PD3v/+dAwcO0NTUxE9/+lPOPvvsIVQbTKRqj1TdILUPBZGqG6T2iGKoLeaJOHbsmIiKivK/GE8IvXfhe613OBOp2iNVtxBS+1AQqbqFkNojDXWoDeaJ2LFjB3a7nRkzZgBQWVnJv//9b+bNm0d1dfUQqzs+kao9UnWD1D4URKpukNojjbA1WMIbqdy0aRMJCQlkZWWxdu1abrvtNm666SaEEKiq6j8unIhU7ZGqG6T2oSBSdYPUHrEMnjMXGgsXLhSjR48WN998s4iLixNjx44Vq1atGmpZvSJStUeqbiGk9qEgUnULIbVHGmFtsNrb28XUqVOFoigiPj7evw5WJBCp2iNVtxBS+1AQqbqFkNojkbDPEvzlL3+Joig88sgjWCyWoZbTJyJVe6TqBql9KIhU3SC1Rxphb7A0TUNVw3ao7bhEqvZI1Q1S+1AQqbpBao80wt5gSSQSiUQCYZwlKJFIJBJJINJgSSQSiSQikAZLIpFIJBGBNFgSiUQiiQikwZJIJBJJRCANlkQikUgiAmmwJBKJRBIRSIMlkUgkkohAGiyJRCKRRATSYEkkEokkIpAGSyKRSCQRwf8HAAPqzgEGPYIAAAAASUVORK5CYII=", "text/plain": [ "
" ] @@ -458,20 +479,20 @@ }, { "cell_type": "code", - "execution_count": 19, + "execution_count": 20, "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ - "/Users/mdecegli/opt/anaconda3/envs/tempY/lib/python3.10/site-packages/rdtools/plotting.py:225: UserWarning: The soiling module is currently experimental. The API, results, and default behaviors may change in future releases (including MINOR and PATCH releases) as the code matures.\n", + "c:\\Users\\mspringe\\.conda\\envs\\rdtools3-nb\\lib\\site-packages\\rdtools\\plotting.py:232: UserWarning: The soiling module is currently experimental. The API, results, and default behaviors may change in future releases (including MINOR and PATCH releases) as the code matures.\n", " warnings.warn(\n" ] }, { "data": { - "image/png": "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\n", + "image/png": "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", "text/plain": [ "
" ] @@ -486,20 +507,20 @@ }, { "cell_type": "code", - "execution_count": 20, + "execution_count": 21, "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ - "/Users/mdecegli/opt/anaconda3/envs/tempY/lib/python3.10/site-packages/rdtools/plotting.py:265: UserWarning: The soiling module is currently experimental. The API, results, and default behaviors may change in future releases (including MINOR and PATCH releases) as the code matures.\n", + "c:\\Users\\mspringe\\.conda\\envs\\rdtools3-nb\\lib\\site-packages\\rdtools\\plotting.py:272: UserWarning: The soiling module is currently experimental. The API, results, and default behaviors may change in future releases (including MINOR and PATCH releases) as the code matures.\n", " warnings.warn(\n" ] }, { "data": { - "image/png": "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\n", + "image/png": "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", "text/plain": [ "
" ] @@ -521,7 +542,7 @@ }, { "cell_type": "code", - "execution_count": 21, + "execution_count": 22, "metadata": {}, "outputs": [ { @@ -644,7 +665,7 @@ "16 0.971602 18 True " ] }, - "execution_count": 21, + "execution_count": 22, "metadata": {}, "output_type": "execute_result" } @@ -664,21 +685,21 @@ }, { "cell_type": "code", - "execution_count": 22, + "execution_count": 23, "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ - "/Users/mdecegli/opt/anaconda3/envs/tempY/lib/python3.10/site-packages/rdtools/filtering.py:642: UserWarning: The XGBoost filter is an experimental clipping filter that is still under development. The API, results, and default behaviors may change in future releases (including MINOR and PATCH). Use at your own risk!\n", - " warnings.warn(\"The XGBoost filter is an experimental clipping filter \"\n" + "c:\\Users\\mspringe\\.conda\\envs\\rdtools3-nb\\lib\\site-packages\\rdtools\\filtering.py:826: UserWarning: The XGBoost filter is an experimental clipping filter that is still under development. The API, results, and default behaviors may change in future releases (including MINOR and PATCH). Use at your own risk!\n", + " warnings.warn(\n" ] } ], "source": [ "# Instantiate a new instance of TrendAnalysis\n", - "ta_new_filter = rdtools.TrendAnalysis(df['power'], df['poa'], \n", + "ta_new_filter = rdtools.TrendAnalysis(df['power'], df['poa'],\n", " temperature_ambient=df['Tamb'],\n", " gamma_pdc=meta['gamma_pdc'],\n", " interp_freq=freq,\n", @@ -695,7 +716,7 @@ }, { "cell_type": "code", - "execution_count": 23, + "execution_count": 24, "metadata": {}, "outputs": [ { @@ -781,7 +802,7 @@ "2010-02-25 14:20:00-07:00 True " ] }, - "execution_count": 23, + "execution_count": 24, "metadata": {}, "output_type": "execute_result" } @@ -793,7 +814,7 @@ }, { "cell_type": "code", - "execution_count": 24, + "execution_count": 25, "metadata": {}, "outputs": [ { @@ -807,7 +828,7 @@ "Freq: T, dtype: bool" ] }, - "execution_count": 24, + "execution_count": 25, "metadata": {}, "output_type": "execute_result" } @@ -819,91 +840,9 @@ }, { "cell_type": "code", - "execution_count": 25, + "execution_count": 26, "metadata": {}, "outputs": [ - { - "data": { - "text/html": [ - " \n", - " " - ] - }, - "metadata": {}, - "output_type": "display_data" - }, { "data": { "application/vnd.plotly.v1+json": { @@ -25617,60 +25556,60 @@ 0.19399958333333336, 0.18918074999999998, 0.1786457833333333, - 0.2162493, + 0.21624929999999998, 0.3378168333333333, 0.4889288, 0.5976350333333333, 0.6651153166666667, - 0.7205152833333334, + 0.7205152833333333, 0.7905545333333334, 0.8745185499999999, - 0.9732547833333334, + 0.9732547833333333, 1.1157427, 1.2492243833333334, 1.3228528333333331, - 1.138607233333333, + 1.1386072333333332, 0.7569224, 0.3741076333333333, 0.25149325, 0.33693615, - 0.42801210000000006, - 0.3868027666666667, + 0.4280121, + 0.38680276666666663, 0.35260566666666665, 0.2902100833333333, 0.18419575, 0.13504365000000002, - 0.11620035, + 0.11620035000000001, 0.10915488333333333, 0.10760953333333333, - 0.10870623333333335, + 0.10870623333333333, 0.10875608333333332, 0.1109661, - 0.1147547, + 0.11475469999999999, 0.11964, 0.12636975, 0.13580801666666667, 0.14616019999999996, 0.15727675, - 0.16794465, - 0.17897811666666663, + 0.16794464999999997, + 0.1789781166666667, 0.19164001666666666, 0.20388649999999997, - 0.21359063333333334, - 0.22140046666666668, + 0.2135906333333333, + 0.22140046666666666, 0.2301242166666667, 0.24567741666666668, 0.29389898333333336, 0.3381657833333333, 0.3102996333333333, - 0.3660153166666666, - 0.36194423333333325, + 0.36601531666666665, + 0.3619442333333333, 0.3664141166666666, 0.37357589999999996, 0.3802558, 0.3860384, - 0.39310048333333325, - 0.4004284333333334, + 0.3931004833333333, + 0.40042843333333333, 0.40775638333333336, 0.4156659166666667, 0.42387455, @@ -25684,12 +25623,12 @@ 0.49889880000000003, 0.51171025, 0.5259174999999999, - 0.5385960166666667, + 0.5385960166666666, 0.5488318833333334, 0.5604967833333333, - 0.5720786, + 0.5720785999999999, 0.58508945, - 0.6000610666666666, + 0.6000610666666667, 0.6166611166666666, 0.6347234333333334, 0.6536165833333334, @@ -25703,17 +25642,17 @@ 0.8620394333333333, 0.88448855, 0.9056914166666667, - 0.9228730499999999, + 0.92287305, 0.9374624833333333, 0.9507059666666666, 0.9627696666666666, 0.9769270666666667, - 0.9914167999999999, + 0.9914168, 1.00622225, 1.0244673499999999, 1.0322107166666665, 1.0522504166666669, - 1.10532405, + 1.1053240500000001, 1.1354002166666666, 1.1614717666666665, 1.2290351333333334, @@ -25721,9 +25660,9 @@ 1.2929926833333334, 1.3163557166666666, 1.3396855166666668, - 1.3611043999999999, + 1.3611044, 1.37959875, - 1.3766742166666663, + 1.3766742166666668, 1.3888874666666666, 1.4216223, 1.4108214666666665, @@ -25731,21 +25670,21 @@ 1.4901826666666667, 1.5241637499999998, 1.5922422333333335, - 1.6141928499999998, + 1.61419285, 1.6460636166666667, 1.66952635, - 1.7005995166666665, + 1.7005995166666668, 1.7341984166666664, 1.7358268499999998, 1.7885183, 1.82406135, - 1.8403290666666667, + 1.8403290666666665, 1.8809069666666665, 1.8834327, 1.9272840833333333, - 1.9433690166666664, + 1.9433690166666666, 1.9729633, - 2.0039201500000003, + 2.00392015, 2.0276819833333333, 2.0835804500000004, 2.1022742, @@ -25755,7 +25694,7 @@ 2.2616114166666668, 2.2745558, 2.267759583333333, - 2.3384302666666663, + 2.338430266666667, 2.3471374000000003, 2.4581533499999995, 2.5462050666666665, @@ -25763,16 +25702,16 @@ 2.6725249666666664, 2.72774215, 2.8356341666666665, - 2.9037791166666667, + 2.903779116666667, 2.8485120833333335, - 2.7826934666666667, + 2.7826934666666663, 2.6922821833333335, 2.62933825, 2.6098801333333332, 2.5976336499999997, 2.6016216500000002, 2.6026851166666662, - 2.5992787, + 2.5992786999999997, 2.590687883333333, 2.607769816666667, 2.6176899666666666, @@ -25788,12 +25727,12 @@ 3.0846349166666664, 3.1647106333333337, 3.2412802333333337, - 3.3274210333333327, + 3.327421033333333, 3.3732165666666667, 3.46452515, 3.5739791333333333, 3.6715854333333335, - 3.8068450999999994, + 3.8068451, 3.999548583333333, 4.625033149999999, 4.992876299999999, @@ -25803,25 +25742,25 @@ 6.300956916666666, 7.022984316666666, 7.102112883333334, - 7.256431866666666, + 7.2564318666666665, 7.379212416666666, - 7.337122399999999, + 7.3371224, 6.999322183333334, - 6.690102633333333, + 6.690102633333332, 6.9223537833333335, - 7.261699350000001, - 7.2592234666666675, - 7.177436233333332, + 7.26169935, + 7.259223466666667, + 7.177436233333334, 7.0361447166666675, 7.1841826, - 7.530623483333332, + 7.530623483333333, 7.4448981000000005, - 7.378614216666667, + 7.378614216666666, 7.310087083333333, 7.216285999999999, - 7.166751716666667, + 7.166751716666666, 7.079132033333334, - 6.996646899999999, + 6.9966469, 6.957946683333334, 6.8931583, 6.836312683333333, @@ -25829,10 +25768,10 @@ 6.659810449999999, 6.5808812833333326, 6.500872033333334, - 6.414382283333332, + 6.414382283333333, 6.3395740499999995, 6.225301233333333, - 6.153267983333333, + 6.1532679833333335, 6.128143583333333, 6.046389583333333, 5.96250865, @@ -25840,7 +25779,7 @@ 5.805946416666666, 5.729011249999999, 5.666898149999999, - 5.5945325666666665, + 5.594532566666667, 5.51874395, 5.467032883333333, 5.388834849999999, @@ -25852,10 +25791,10 @@ 4.8987595, 4.690602516666667, 3.9145211, - 2.7769108666666664, + 2.776910866666667, 1.1961673666666668, - 0.4907234, - 0.29531140000000006, + 0.49072340000000003, + 0.2953114, 0.28160265, 0.2745904166666666, 0.2675117166666666, @@ -25863,14 +25802,14 @@ 0.25147663333333337, 0.23738569999999998, 0.22015421666666668, - 0.2025737833333333, - 0.1840462, + 0.20257378333333334, + 0.18404620000000002, 0.16415605, 0.14393356666666668, - 0.12482440000000002, - 0.11400695000000001, - 0.10569861666666668, - 0.09775584999999999, + 0.1248244, + 0.11400695, + 0.10569861666666666, + 0.09775585, 0.09110918333333333, 0.0821528, 0.07497439999999998, @@ -26777,42 +26716,42 @@ null, 0.207998, 0.3471724, - 0.3476372, + 0.34763720000000004, 0.2772532, - 0.19141459999999996, + 0.1914146, 0.1249316, 0.10414839999999999, 0.141349, 0.179446, - 0.21193220000000002, + 0.2119322, 0.2670442, 0.29705699999999996, 0.2044788, 0.0817882, 0.0444382, - 0.046662600000000005, - 0.09674479999999999, + 0.0466626, + 0.0967448, 0.5151478, 0.8954869999999999, - 0.49532740000000003, + 0.4953274, 0.3318008, 0.6246911999999999, 0.7338196, 0.48734279999999996, - 0.6414572, + 0.6414572000000001, 1.2187886, - 1.8584862, - 2.0967127999999997, + 1.8584861999999998, + 2.0967128, 2.1442552, 2.3197836, 2.546523, - 2.6211732000000003, + 2.6211732, 2.8440945999999996, - 3.0455355999999996, + 3.0455356, 3.2174286, 3.3814531999999997, 3.5413111999999995, - 3.7122745999999998, + 3.7122746, 3.895024, 4.1458334, 4.3790468, @@ -26820,30 +26759,30 @@ 4.7206914, 4.9761321999999995, 5.113049, - 5.1757804, + 5.175780399999999, 5.2860542, - 5.367410799999999, + 5.3674108, 5.424049999999999, 5.5415282, - 5.638073800000001, + 5.6380738, 5.713554, 5.7689482, - 5.8817286, - 5.968745800000001, + 5.881728600000001, + 5.9687458, 6.0242064, 6.143759599999999, - 6.249866800000001, + 6.2498667999999995, 6.3312068, 6.4174438, 6.500062, - 6.566030400000001, + 6.5660304, 6.627301, 6.6559194, 6.797866, 6.8944614, 6.938551, 7.0451064, - 7.1122201999999985, + 7.112220199999999, 7.1892608000000005, 7.28408, 3.197697833333333, @@ -26854,21 +26793,21 @@ 3.4234965, 4.311019916666667, 1.9387574999999997, - 1.4387865833333333, + 1.438786583333333, 1.3199006666666666, 1.4006615, 1.743439, 2.2238415833333334, - 3.2276805, - 7.718646166666666, + 3.2276804999999995, + 7.718646166666667, 2.9087995833333333, 2.4608505833333334, - 2.1865788333333334, + 2.186578833333334, 1.825891333333333, 1.82089975, 2.7265985, 3.653656583333333, - 3.017519916666666, + 3.0175199166666666, 2.5954409166666665, 2.0737955833333332, 1.8818269166666666, @@ -26877,42 +26816,42 @@ 1.7259104166666666, 1.9345121666666667, 1.8144156666666666, - 1.6603399166666666, - 1.8169860833333333, + 1.6603399166666664, + 1.8169860833333331, 4.421100083333333, 2.0034325, - 1.856869, - 1.6686315833333334, + 1.8568689999999999, + 1.6686315833333332, 1.7158940833333334, 2.703630583333333, - 7.782077416666666, + 7.782077416666667, 5.622894250000001, 4.143544833333333, - 3.5401105, + 3.5401104999999995, 4.4336702500000005, 4.500252333333334, - 5.940680666666666, - 6.7191355, + 5.940680666666667, + 6.719135499999999, 4.016533083333333, 3.6822462499999995, 3.7784627499999996, 7.356499333333334, - 5.171031583333333, + 5.171031583333334, 4.426439916666666, 4.0855695, 4.091672166666667, 4.035703416666667, 4.021193, - 4.1174592500000005, - 6.748471416666667, + 4.11745925, + 6.748471416666666, 6.363920500000001, 4.013100333333333, - 3.8559898333333336, - 3.4298147499999994, + 3.855989833333333, + 3.42981475, 3.339302916666667, 3.272588166666667, 3.1977807499999997, - 2.739798833333334, + 2.7397988333333334, 2.501761666666667, 2.423388833333333, 2.373274, @@ -26923,57 +26862,57 @@ 2.1239104166666665, 2.24457075, 2.4053793333333333, - 2.4700709166666663, + 2.470070916666667, 2.3579344166666667, - 2.4243672499999995, + 2.4243672500000004, 2.568061833333333, 2.44416775, 2.3969384166666665, - 2.354485083333333, - 2.697229416666667, - 4.024095083333334, + 2.3544850833333335, + 2.6972294166666666, + 4.024095083333333, 4.02004875, 2.586071333333333, 2.455875583333333, 2.568360333333333, - 3.4945063333333337, - 4.565822833333333, - 5.145161583333333, + 3.4945063333333333, + 4.565822833333334, + 5.1451615833333335, 5.2819575, 6.199330916666667, 4.74371225, 7.60961075, - 5.7480155, + 5.748015499999999, 5.951708583333333, 7.444755833333334, - 7.564338249999999, + 7.56433825, 7.4839754166666665, 7.4357179166666665, 7.3883725, - 7.3306459166666675, + 7.330645916666667, 7.259503416666666, 7.213501249999999, - 7.116024416666666, + 7.116024416666667, 7.0391440833333325, 6.956376666666667, 6.892696666666667, 6.810161416666666, - 6.733728833333333, + 6.733728833333332, 6.623897416666666, 6.530052333333333, 6.479622416666666, 6.411846333333333, 6.34367225, - 6.246808999999999, + 6.246809, 6.140261083333333, 6.070494999999999, - 6.014708666666666, - 5.938790166666667, - 5.841429416666666, - 5.748396916666666, - 5.669393916666667, + 6.0147086666666665, + 5.938790166666666, + 5.841429416666667, + 5.748396916666667, + 5.6693939166666665, 5.602330916666666, - 5.550226083333333, + 5.5502260833333334, 5.484854583333333, 5.438686583333333, 5.352702, @@ -26981,40 +26920,40 @@ 5.174281916666667, 5.06519675, 4.94271225, - 4.862332833333332, + 4.862332833333333, 4.773877333333333, 4.697079916666667, 4.638822666666667, 4.358680416666667, 3.5052689166666666, - 2.3704714166666663, - 0.8832946666666666, + 2.3704714166666667, + 0.8832946666666667, 0.3964411666666666, 0.3117169166666667, - 0.30055633333333337, - 0.29115358333333335, + 0.3005563333333333, + 0.2911535833333333, 0.2824473333333334, 0.27427175, 0.26488558333333334, 0.2509555833333333, 0.23178525000000003, - 0.2132119166666667, - 0.1947878333333333, + 0.21321191666666664, + 0.19478783333333333, 0.1750205, - 0.15517025, + 0.15517024999999998, 0.1368125, 0.12644791666666666, - 0.11752608333333335, + 0.11752608333333334, 0.10969875, 0.10130758333333333, 0.09354658333333334, 0.08621675, - 0.07905274999999999, + 0.07905275, 0.07192191666666667, 0.06500666666666666, - 0.057593916666666675, - 0.05052941666666666, - 0.04363075000000001, + 0.05759391666666667, + 0.05052941666666667, + 0.043630749999999996, null, null, null, @@ -27909,75 +27848,75 @@ null, null, null, - 0.21241780000000002, + 0.2124178, 0.37694136666666667, 0.5013736, 0.5753603333333333, - 0.6237847000000001, + 0.6237847, 0.6889745333333334, - 0.7542969000000002, - 0.8222036666666668, - 0.8893317999999999, - 0.9512414333333333, - 1.0562409666666668, - 1.1893044333333336, - 1.2984125000000002, + 0.7542968999999999, + 0.8222036666666667, + 0.8893318, + 0.9512414333333332, + 1.0562409666666666, + 1.1893044333333334, + 1.2984125, 1.4440169333333335, - 1.5066058000000002, + 1.5066057999999998, 1.5210519333333332, 1.6840513666666665, - 1.821819766666667, + 1.8218197666666667, 1.8739219333333332, 1.9673413666666666, 2.1599288666666667, 2.374732266666667, - 2.555739666666667, - 2.7238582000000005, - 2.9061578000000003, + 2.5557396666666667, + 2.7238582, + 2.9061578, 3.0044644, 3.1389028999999997, - 3.3387134666666674, + 3.338713466666667, 3.4866372333333335, 3.534233266666667, - 3.704903066666667, - 3.902112666666667, - 4.081132066666666, + 3.7049030666666667, + 3.9021126666666666, + 4.081132066666667, 4.162540666666667, - 4.301535, - 4.389454300000001, + 4.301534999999999, + 4.3894543, 4.5023561333333335, - 4.594483366666666, - 4.699615433333334, - 4.792074, + 4.594483366666667, + 4.699615433333333, + 4.7920739999999995, 4.882378900000001, - 4.975152233333334, - 5.067412000000001, - 5.1709868000000005, + 4.975152233333333, + 5.067412, + 5.1709868, 5.2737001333333335, 5.294541, 5.452702966666666, 5.4771388000000005, - 5.562308033333335, - 5.719857033333334, - 5.8041979333333344, - 5.878781066666667, - 5.965076833333334, + 5.562308033333333, + 5.719857033333333, + 5.804197933333333, + 5.878781066666666, + 5.965076833333333, 6.0640626666666675, - 6.145902000000001, - 6.230507966666667, - 6.318659200000001, - 6.411531933333334, - 6.502217866666668, + 6.1459019999999995, + 6.230507966666666, + 6.3186592, + 6.411531933333333, + 6.502217866666666, 6.5631335, - 6.639257333333334, - 6.719738200000001, - 6.804609233333334, - 6.9014414, - 6.969762333333334, - 7.0515519666666675, - 7.0763191333333335, + 6.639257333333333, + 6.719738199999999, + 6.804609233333333, + 6.9014413999999995, + 6.969762333333333, + 7.051551966666667, + 7.076319133333333, 7.199409466666666, - 7.4627922, + 7.462792199999999, 7.38787035, 7.31740045, 7.238456950000001, @@ -27985,25 +27924,25 @@ 7.1081257, 7.0341141, 6.95886125, - 6.873645299999999, + 6.8736453, 6.789654049999999, 6.69333305, - 6.65387785, - 6.573229700000001, + 6.653877850000001, + 6.5732297, 6.49033075, - 6.3674304500000005, + 6.36743045, 6.268080799999999, - 6.1846191500000005, + 6.18461915, 6.064747499999999, - 6.051821950000001, - 5.996263599999999, + 6.05182195, + 5.996263600000001, 5.897178749999999, 5.8440698, 5.7318608, - 5.6746309, + 5.6746308999999995, 5.60219155, - 5.531953349999998, - 5.444900349999999, + 5.531953349999999, + 5.44490035, 5.359551999999999, 5.266011399999999, 5.1704517, @@ -28014,13 +27953,13 @@ 2.2633118, 1.0321242, 0.31468169999999995, - 0.23909785, - 0.23118695000000003, + 0.23909784999999997, + 0.23118695, 0.2256427, - 0.2190558, - 0.21314745000000002, - 0.20361464999999998, - 0.18929889999999996, + 0.21905580000000002, + 0.21314745, + 0.20361465, + 0.1892989, 0.1735764, 0.15760564999999999, 0.14194935, @@ -28031,9 +27970,9 @@ 0.07758639999999999, 0.0716946, 0.06567039999999999, - 0.059646199999999996, + 0.0596462, 0.05400264999999999, - 0.048359099999999995, + 0.0483591, 0.04294725, 0.036774100000000004, 0.031254675, @@ -28934,194 +28873,194 @@ null, 0.32189445, 0.4524138, - 0.5615712, + 0.5615711999999999, 0.6550443, - 0.7525467000000001, - 0.8207284500000002, - 0.9001156500000002, + 0.7525467, + 0.8207284499999999, + 0.90011565, 0.97101135, - 1.0697625000000002, - 1.1240248500000003, - 1.1446209000000003, - 1.25439435, - 1.3783702500000001, - 1.5310008000000004, - 1.6634349000000002, + 1.0697625, + 1.12402485, + 1.1446208999999998, + 1.2543943499999999, + 1.37837025, + 1.5310008, + 1.6634349, 1.78552935, - 1.8576571500000003, - 1.9906573500000002, - 2.1305007000000002, - 2.28438, - 2.3777698500000004, + 1.8576571499999999, + 1.99065735, + 2.1305007, + 2.2843799999999996, + 2.37776985, 2.5193115, - 2.6773533000000005, - 2.85605775, - 2.9732571000000005, - 3.0515620500000007, + 2.6773533, + 2.8560577499999997, + 2.9732571, + 3.05156205, 3.2081386500000004, - 3.329483850000001, + 3.3294838499999995, 3.49305345, - 3.6302661000000005, - 3.7242054, + 3.6302661, + 3.7242053999999993, 3.8269359, - 3.9130330500000006, - 4.02512085, + 3.9130330499999997, + 4.0251208499999995, 4.1242383, - 4.220591850000001, - 4.3090699500000005, - 4.411001250000001, - 4.49788095, - 4.585976100000001, - 4.6684935, + 4.22059185, + 4.30906995, + 4.41100125, + 4.497880949999999, + 4.5859761, + 4.668493499999999, 4.773604949999999, - 4.867910550000001, - 4.952742300000001, + 4.86791055, + 4.9527423, 5.0509773000000004, 5.117077800000001, - 5.198696100000001, - 5.276784600000001, + 5.198696099999999, + 5.276784599999999, 5.387989950000001, - 5.479365150000001, - 5.574403350000001, - 5.631845850000001, + 5.47936515, + 5.57440335, + 5.63184585, 5.689454850000001, 5.8004604, - 5.897430000000001, + 5.89743, 5.951842200000001, 6.0230709, 6.1475463, 6.224419350000001, 6.31775925, 6.405071850000001, - 6.471571950000001, - 6.55848495, - 6.638937750000001, - 6.7095837000000005, - 6.778697850000001, + 6.4715719499999995, + 6.5584849499999995, + 6.63893775, + 6.7095837, + 6.77869785, 6.86531115, - 6.926200200000001, - 6.990802200000002, - 7.06940685, - 7.148327850000001, + 6.926200199999999, + 6.9908022, + 7.069406849999999, + 7.14832785, 7.2138123, 13.7165697, - 13.736632950000002, + 13.73663295, 13.71062565, - 13.724977950000001, - 13.724328600000002, + 13.724977949999998, + 13.7243286, 13.72208085, 13.7302893, - 13.724511750000001, + 13.72451175, 13.721098500000002, - 13.737015900000001, + 13.7370159, 13.730705550000001, - 13.730172750000001, - 13.72667625, + 13.73017275, + 13.726676249999999, 13.72864095, - 13.73187105, - 13.719933000000001, - 13.757162400000002, - 13.757079150000003, + 13.731871049999999, + 13.719933, + 13.7571624, + 13.757079150000001, 13.721098500000002, - 13.755930300000001, - 13.781587950000002, - 13.745607300000001, - 13.7221641, - 13.753832400000002, - 13.715653950000002, - 13.69770525, - 13.732437150000003, - 13.752750150000002, + 13.7559303, + 13.781587949999999, + 13.7456073, + 13.722164099999999, + 13.7538324, + 13.71565395, + 13.697705249999999, + 13.732437149999997, + 13.752750149999999, 13.7647881, - 13.759493400000002, - 13.723862400000003, - 13.738514400000001, + 13.759493399999998, + 13.7238624, + 13.738514399999998, 13.743659250000002, - 13.752433800000002, - 13.77932355, - 13.791328200000002, + 13.7524338, + 13.779323549999999, + 13.7913282, 13.80100185, - 13.777875000000002, - 13.798937250000002, - 13.779706500000001, - 13.769250300000001, - 13.752517050000002, - 13.751568, - 13.75468155, - 13.743842400000002, + 13.777875, + 13.79893725, + 13.7797065, + 13.769250299999998, + 13.75251705, + 13.751567999999999, + 13.754681549999999, + 13.7438424, 13.7379816, - 13.731504750000003, - 13.73290335, - 13.719949650000002, - 13.712390550000002, - 13.71202425, - 13.7017845, - 7.532360100000001, - 7.445547000000001, - 7.366309650000001, - 7.2937822500000005, - 7.246562850000002, - 7.201091700000002, - 7.134674850000001, - 7.0508088, - 6.9790806000000005, + 13.731504750000001, + 13.732903349999999, + 13.719949649999998, + 13.71239055, + 13.712024249999999, + 13.701784499999999, + 7.532360099999999, + 7.445547, + 7.366309649999999, + 7.29378225, + 7.24656285, + 7.201091699999999, + 7.13467485, + 7.0508087999999995, + 6.9790806, 6.888654450000001, - 6.799327200000001, - 6.7286313, - 6.66877455, + 6.7993272, + 6.728631300000001, + 6.668774549999999, 6.585058350000001, 6.498761399999999, - 6.428115450000001, - 6.350476500000001, + 6.428115449999999, + 6.3504765, 6.2671599, - 6.182944200000001, - 6.100043850000001, - 5.9823117, - 5.925851550000001, - 5.8388886000000015, - 5.771822400000001, - 5.65795305, - 5.588705700000001, - 5.529881250000001, + 6.1829442, + 6.1000438500000005, + 5.9823116999999995, + 5.92585155, + 5.838888600000001, + 5.7718224000000005, + 5.657953050000001, + 5.5887057, + 5.52988125, 5.4436509, 5.32392075, - 5.193584550000001, + 5.19358455, 5.11489665, 5.02445385, - 4.959036, - 4.863781350000001, - 4.764514050000001, + 4.959035999999999, + 4.86378135, + 4.76451405, 4.687807500000001, - 4.3147809, - 3.3740059500000004, - 1.92548925, - 0.9328662000000001, - 0.3001495500000001, + 4.314780900000001, + 3.37400595, + 1.9254892499999998, + 0.9328662, + 0.30014955, 0.251415, - 0.2442222, - 0.23786190000000001, + 0.24422219999999997, + 0.2378619, 0.2309688, - 0.2256408, - 0.21733244999999998, + 0.22564079999999997, + 0.21733245, 0.20784195000000003, - 0.19090890000000002, - 0.17306010000000002, + 0.1909089, + 0.1730601, 0.15421230000000002, 0.13438215, - 0.11581740000000003, - 0.10376280000000002, + 0.11581740000000001, + 0.1037628, 0.09538785000000001, 0.08729595, 0.0798534, - 0.0735597, + 0.07355969999999999, 0.0663003, - 0.05989005000000001, - 0.05372955000000001, + 0.05989005, + 0.05372955, 0.04710285, - 0.0404262, - 0.03444885, - 0.028546425000000004, - 0.022644000000000004, + 0.040426199999999995, + 0.034448849999999996, + 0.028546424999999997, + 0.022644, null, null, null, @@ -30019,20 +29958,20 @@ 0.43103620000000004, 0.5032415, 0.5793889, - 0.6609587666666666, + 0.6609587666666668, 0.7242818666666666, - 0.7847440333333332, + 0.7847440333333333, 0.8594443333333333, 0.9444073999999999, 0.9949228333333333, - 1.0603916333333334, + 1.0603916333333332, 1.1976, - 1.2869376333333336, + 1.2869376333333333, 1.4185904666666667, 1.5992284666666667, - 1.765644966666667, - 1.9128998666666666, - 2.0427063999999997, + 1.7656449666666667, + 1.9128998666666668, + 2.0427064, 2.2203670333333334, 2.3134139, 2.4034002333333335, @@ -30043,8 +29982,8 @@ 3.191437666666667, 3.3457118333333336, 3.570810733333333, - 3.6796426333333327, - 3.7551247, + 3.679642633333333, + 3.7551246999999996, 3.8663351666666665, 3.9663846666666664, 4.0609451666666665, @@ -30059,24 +29998,24 @@ 4.8701901, 4.992278766666667, 5.032797566666666, - 5.171236799999999, + 5.1712368, 5.271668866666667, 5.361688466666666, 5.445503833333333, 5.534226033333333, - 5.608710099999999, + 5.6087101, 5.677538833333333, - 5.763583066666667, - 5.850641933333333, + 5.7635830666666665, + 5.850641933333334, 5.9438385, 6.0200358, - 6.1252749, + 6.125274899999999, 6.171199533333334, 6.2852543, 6.367007133333333, 6.450024099999999, 6.529298566666667, - 6.592172566666667, + 6.592172566666666, 6.695166166666667, 6.7619989, 6.857939966666666, @@ -30084,32 +30023,32 @@ 6.976036633333334, 6.988411833333333, 7.124838433333333, - 7.216754233333334, + 7.216754233333333, 7.5910375, - 7.500668599999999, + 7.5006686, 7.4378445, - 7.373989133333332, + 7.373989133333333, 7.312911533333334, 7.2386437, - 7.150121099999999, - 7.057889266666666, + 7.1501211, + 7.057889266666667, 7.008321933333333, 6.9461299, 6.834836266666667, 6.782690766666666, - 6.763728766666666, + 6.763728766666667, 6.248544533333333, - 6.554265200000001, - 6.423676900000001, + 6.5542652, + 6.4236769, 5.701607266666667, 6.282592966666667, 6.128967500000001, - 6.196731700000001, + 6.1967317, 5.382130833333333, 2.4622157000000002, - 1.2129691999999999, - 1.7038022333333334, - 1.2393663000000001, + 1.2129692, + 1.7038022333333336, + 1.2393663, 1.0108076666666665, 1.2863055666666665, 1.1220680333333335, @@ -30123,16 +30062,16 @@ 4.9025752, 4.582932433333332, 3.461346766666667, - 2.1569441333333335, - 0.7380875333333332, + 2.156944133333333, + 0.7380875333333333, 0.7428779333333333, - 0.4417480666666667, - 0.3904342333333334, + 0.44174806666666666, + 0.3904342333333333, 0.3620744, 0.3315023333333333, 0.31009523333333333, 0.29667213333333325, - 0.2804712666666667, + 0.28047126666666666, 0.26503553333333335, 0.2421148, 0.21907763333333333, @@ -30141,19 +30080,19 @@ 0.16568463333333336, 0.15766736666666667, 0.15335933333333335, - 0.14818636666666665, - 0.14023563333333336, - 0.1322682666666667, + 0.14818636666666668, + 0.14023563333333333, + 0.13226826666666666, 0.12343596666666667, - 0.11490306666666665, + 0.11490306666666666, 0.10500623333333332, - 0.09446069999999998, + 0.0944607, 0.0855286, - 0.07677946666666667, + 0.07677946666666666, 0.06824656666666666, 0.05924793333333333, 0.0498501, - 0.03973703333333334, + 0.03973703333333333, null, null, null, @@ -31043,24 +30982,24 @@ null, null, null, - 0.43723435000000005, + 0.43723435, 0.5973027, - 0.7474841333333333, - 0.8750835166666667, - 0.9618391333333333, - 1.080266116666667, + 0.7474841333333334, + 0.8750835166666666, + 0.9618391333333334, + 1.0802661166666667, 1.1452705166666668, 1.2259444333333334, 1.3219223, 1.4494718333333334, - 1.5359948166666668, + 1.5359948166666666, 1.5542565333333334, 1.70023395, - 1.8831003666666668, - 1.9952960999999998, - 2.15745815, + 1.8831003666666666, + 1.9952961, + 2.1574581499999996, 2.3268650666666666, - 2.49544115, + 2.4954411499999996, 2.6268125166666665, 2.7729893333333333, 2.85545785, @@ -31070,7 +31009,7 @@ 3.486575466666667, 3.5755577166666668, 3.6486212, - 3.7430371, + 3.7430371000000004, 3.7682944333333332, 3.97469005, 4.08017265, @@ -31081,14 +31020,14 @@ 4.575897666666666, 4.666225866666666, 4.768983333333334, - 4.861189216666666, + 4.8611892166666655, 4.9746145833333335, 5.052513516666666, 5.1251782, 5.25643325, 5.317781983333333, - 5.428232966666667, - 5.515786183333334, + 5.428232966666666, + 5.515786183333333, 5.612777666666665, 5.68633965, 5.7792102, @@ -31097,7 +31036,7 @@ 6.041404583333333, 6.104930100000001, 6.1916192500000005, - 6.277976066666666, + 6.277976066666667, 6.355509433333334, 6.4408692499999995, 6.527043283333333, @@ -31111,15 +31050,15 @@ 7.0453005, 6.757233966666666, 6.430068416666667, - 6.390404433333334, - 6.300923683333334, + 6.390404433333333, + 6.300923683333333, 5.592256083333334, 5.743451133333334, 5.8068271, - 6.007888766666667, + 6.0078887666666665, 5.7611645, - 5.626635966666667, - 6.412737233333333, + 5.626635966666666, + 6.412737233333334, 7.233500866666666, 6.218870583333333, 6.131716166666666, @@ -31132,49 +31071,49 @@ 5.4760225, 5.6463101, 6.08085255, - 6.415844550000001, - 6.73727735, - 6.296370716666668, + 6.41584455, + 6.737277349999999, + 6.296370716666667, 5.655200016666667, 6.008686366666667, 5.584678883333334, 4.901468016666667, 4.552335233333333, - 3.96721255, + 3.9672125499999997, 4.556805116666666, - 4.911487866666666, - 4.8984936333333335, + 4.911487866666667, + 4.898493633333333, 4.813682166666666, 4.589490099999999, 4.684072166666667, 5.1631639, 4.642331099999999, 4.489906416666667, - 4.420382283333332, + 4.420382283333334, 4.140025883333333, 3.42384755, 3.1250964999999997, - 3.4317903166666666, - 2.86732215, + 3.431790316666666, + 2.8673221499999997, 2.6572044, 2.6976992166666665, 2.4454416, 2.2252209166666663, 2.0231290166666667, 1.9476228833333336, - 1.88487835, + 1.8848783500000001, 1.8409605000000002, 1.7883853666666667, 1.74719265, 1.7052023333333333, 1.669975, - 1.6466618166666667, + 1.6466618166666664, 1.6347809, 1.64420255, 1.7065981333333333, 1.8863572333333334, 2.4666777, - 3.935923366666666, + 3.9359233666666666, 5.604951216666667, 5.266486333333333, 5.277951833333333, @@ -31186,24 +31125,24 @@ 3.2912133166666666, 3.2657067333333334, 3.1249801833333333, - 2.9074846333333335, - 2.8290041166666664, + 2.907484633333333, + 2.829004116666667, 2.7157116833333332, 2.9023999333333337, - 3.352894383333334, + 3.3528943833333336, 3.6678134499999997, 3.4287993166666664, 2.8147636333333335, 2.0561463333333334, 1.5311759833333334, 1.1616047000000003, - 1.0297182166666665, + 1.0297182166666667, 0.9766113500000001, 0.9184031666666667, 0.8806833333333334, 0.8466191666666667, 0.81250515, - 0.7812492000000001, + 0.7812492, 0.7479161666666666, 0.7153474999999999, 0.6829283833333333, @@ -31211,15 +31150,15 @@ 0.60941625, 0.5702673833333333, 0.5284930833333333, - 0.4953760666666666, + 0.49537606666666667, 0.4644026, - 0.43675246666666667, + 0.4367524666666666, 0.4093682, - 0.38186761666666663, + 0.3818676166666667, 0.35443349999999996, 0.3277139, - 0.2996649666666667, - 0.2745405666666667, + 0.29966496666666664, + 0.27454056666666665, 0.2524404, 0.23092181666666667, 0.20958601666666665, @@ -31228,9 +31167,9 @@ 0.1532721333333333, 0.13266746666666665, 0.11189663333333333, - 0.08954721666666665, - 0.05199354999999999, - 0.03152181666666666, + 0.08954721666666667, + 0.05199355, + 0.03152181666666667, null, null, null, @@ -32146,20 +32085,20 @@ 0.031955, 0.03688519999999999, 0.0462476, - 0.0602746, + 0.06027459999999999, 0.07642639999999999, - 0.08492560000000002, + 0.0849256, 0.090304, 0.1048456, - 0.12786979999999998, + 0.1278698, 0.16239779999999998, 0.1858536, 0.2849888, - 0.30746520000000005, + 0.3074652, 0.2836276, 0.3245632, - 0.38633180000000006, - 0.46390359999999997, + 0.3863318, + 0.4639036, 0.5510535999999999, 0.5508045999999999, 0.4706266, @@ -32169,12 +32108,12 @@ 0.7123392000000001, 0.745091, 0.8278751999999999, - 0.8943416000000001, + 0.8943415999999998, 0.866769, 0.9710169999999999, 1.0692557999999999, - 0.9626506000000001, - 0.9843136000000001, + 0.9626506, + 0.9843136, 0.993178, 1.03003, 1.184659, @@ -32183,12 +32122,12 @@ 1.3098561999999998, 1.3981682000000002, 1.472254, - 1.7056167999999996, - 1.8950393999999997, + 1.7056167999999998, + 1.8950394, 2.4834595999999998, 3.0076378, 3.1952675999999998, - 4.0795994, + 4.079599399999999, 4.6616618, 4.8065299999999995, 4.9775598, @@ -32196,22 +32135,22 @@ 4.984249599999999, 5.2896896, 5.4124798, - 5.6749922, - 6.032058199999999, + 5.674992200000001, + 6.0320582, 6.0399598, 6.351193199999999, - 6.442576199999999, + 6.4425762, 6.5929888000000005, 6.651371, 6.579244, 6.9748386, 6.1289524, - 4.886010799999999, + 4.8860108, 3.6114960000000003, 4.0620864, 6.023973999999999, 7.123143, - 7.096533199999999, + 7.0965332, 6.6409794, 6.1536532, 6.114709599999999, @@ -32238,9 +32177,9 @@ null, null, null, - 6.698133199999999, + 6.6981332, 6.4806068, - 6.086323599999999, + 6.0863236, 6.1090324, 5.9216018, 5.4890224, @@ -32252,16 +32191,16 @@ 7.091685999999999, 7.097413, 7.309893000000001, - 7.305128800000001, + 7.305128799999999, 7.275946, 7.2051967999999995, - 7.051879199999999, + 7.0518792, 6.829738, 6.91307, 6.602666599999999, - 6.5406988, - 6.613240800000001, - 6.705586599999999, + 6.5406987999999995, + 6.6132408, + 6.7055866, 6.628214000000001, 6.5342746, 6.35531, @@ -32271,14 +32210,14 @@ 5.683093, 5.7226175999999995, 5.8417724, - 5.786295199999999, + 5.7862952, 5.6426222, 5.538258, 5.2699688, 4.7252066, 4.625341000000001, - 4.958984400000001, - 5.060659400000001, + 4.9589844, + 5.0606594000000005, 5.022413, 4.9288056000000005, 4.389903199999999, @@ -32287,12 +32226,12 @@ 0.9383316, 0.5735466, 0.537425, - 0.5164758, + 0.5164757999999999, 0.4983984, 0.480155, 0.4612808, 0.445627, - 0.4329612, + 0.43296120000000005, 0.413091, 0.384373, 0.3491478, @@ -32306,9 +32245,9 @@ 0.20670319999999998, 0.1979218, 0.1910826, - 0.1843264, + 0.18432639999999997, 0.1771718, - 0.1685398, + 0.16853980000000002, 0.1597086, 0.1473416, 0.13912460000000001, @@ -32317,7 +32256,7 @@ 0.10258799999999998, 0.072044, 0.05272160000000001, - 0.04246280000000001, + 0.0424628, 0.0343952, 0.026833900000000004, 0.019272599999999997, @@ -33200,25 +33139,25 @@ null, null, null, - 0.20062516666666666, + 0.2006251666666667, 0.24241516666666665, 0.18788916666666666, 0.09357974999999999, - 0.037014, + 0.037014000000000005, 0.032320916666666664, 0.04111008333333333, - 0.051192749999999995, + 0.05119275, 0.05961708333333334, - 0.07032991666666667, + 0.07032991666666666, 0.07953366666666667, 0.08611724999999999, - 0.09465766666666664, - 0.10551975, + 0.09465766666666667, + 0.10551975000000001, 0.114425, 0.12339658333333332, 0.1376416666666667, 0.1531305, - 0.17269883333333336, + 0.17269883333333333, 0.1915375, 0.20510266666666666, 0.22311216666666667, @@ -33229,15 +33168,15 @@ 0.34043925, 0.37169883333333337, 0.4149481666666666, - 0.4319460833333333, + 0.43194608333333334, 0.42192975000000005, - 0.5095560833333332, + 0.5095560833333334, 0.7041283333333334, - 0.9864761666666667, - 0.8638921666666666, + 0.9864761666666666, + 0.8638921666666667, 1.90935525, 2.2798103333333333, - 1.6366423333333335, + 1.6366423333333333, 1.3090883333333332, 1.2987900833333335, 1.40867125, @@ -33246,7 +33185,7 @@ 1.13335475, 1.06251075, 1.08768425, - 1.3469646666666664, + 1.3469646666666666, 1.6203409166666667, 1.368722, 1.2816595, @@ -33254,15 +33193,15 @@ 0.8957984999999999, 0.8862465, 0.8999940833333333, - 0.8948532500000002, + 0.89485325, 0.8426986666666667, - 0.8294485833333333, + 0.8294485833333334, 0.8368945, 0.85246625, - 0.8813875833333332, + 0.8813875833333333, 0.9075560833333333, 0.9343547500000001, - 0.9723471666666664, + 0.9723471666666667, 1.0121471666666666, 1.0414664999999999, 1.0562588333333334, @@ -33276,24 +33215,24 @@ 1.302770083333333, 1.3689873333333333, 1.4477415833333334, - 1.5078229999999997, + 1.507823, 1.5457325, - 1.5964443333333331, + 1.5964443333333334, 1.6843525833333333, 1.7307693333333332, 1.793189, 1.8310155833333333, - 1.9119422499999998, + 1.91194225, 2.037544416666667, 2.28267925, 2.4663728333333332, - 2.6135001666666664, + 2.613500166666667, 2.7566806666666666, 2.8530464166666665, 3.098098333333333, - 3.210848416666667, + 3.2108484166666664, 3.3661181666666664, - 3.611452, + 3.6114520000000003, 4.2459635, 4.4678485000000006, 4.72082725, @@ -33302,21 +33241,21 @@ 4.716100999999999, 5.159804666666666, 5.819522833333333, - 5.635447833333332, + 5.635447833333333, 5.928176833333334, - 6.909379499999999, + 6.9093795, 7.00853125, - 7.142541166666666, - 6.849812166666667, + 7.142541166666667, + 6.849812166666666, 6.5605325, 6.726166833333334, 6.643416, 6.736349, 7.062990916666666, - 6.926791999999999, + 6.926792, 7.1126414166666665, - 6.419010333333333, - 5.616476499999999, + 6.4190103333333335, + 5.6164765, 4.03358075, 3.948441916666667, 4.535210000000001, @@ -33324,25 +33263,25 @@ 4.739898083333332, 4.777608583333333, 4.388032916666666, - 4.647827416666665, + 4.647827416666667, 5.0090787500000005, 4.8684355, 4.652387833333333, 4.560516166666666, - 4.391697833333332, + 4.391697833333334, 4.647512333333334, - 5.169671750000001, + 5.169671749999999, 6.057576583333333, 6.243293333333333, 6.421812916666667, 7.180516999999999, - 6.815866083333333, + 6.815866083333334, 6.542755166666667, - 5.9886064999999995, + 5.9886065, 6.146712, 6.3096266666666665, - 7.078828000000001, - 7.185840249999999, + 7.078828, + 7.18584025, 7.086821166666667, 6.986326166666667, 7.047319666666667, @@ -33352,26 +33291,26 @@ 6.601791833333333, 6.466007500000001, 6.214355416666667, - 5.988440666666666, + 5.9884406666666665, 5.93044875, - 5.878526333333333, + 5.878526333333332, 5.831877416666667, 5.761066583333333, 5.7307025, 5.885590833333334, 5.983415916666668, 5.9848255, - 6.115966499999999, + 6.1159665, 6.157839416666667, 6.174555416666666, 6.220375166666667, 6.160641999999999, - 6.089880916666668, + 6.089880916666667, 6.0120553333333335, 5.9221570833333335, 5.882390249999999, - 5.815493083333334, - 5.939105249999999, + 5.815493083333333, + 5.93910525, 6.091671916666667, 6.278068583333334, 6.389060833333333, @@ -33381,26 +33320,26 @@ 7.02365525, 7.0717800833333335, 6.910341333333333, - 7.091580583333333, + 7.091580583333332, 7.047352833333334, 6.787807083333333, - 6.485940666666666, + 6.485940666666667, 6.304187333333333, 6.150012083333333, 6.298018333333332, - 6.4603857499999995, + 6.46038575, 6.232713166666667, - 5.884745083333334, + 5.884745083333333, 5.733173416666666, 5.751431666666666, - 5.775411166666666, - 5.732344250000001, + 5.775411166666667, + 5.73234425, 5.716092583333333, 5.780916833333333, 5.949105, 6.115601666666666, - 6.239446000000001, - 6.227771333333334, + 6.239446, + 6.227771333333333, 6.109814083333333, 6.193277999999999, 6.272645833333333, @@ -33410,7 +33349,7 @@ 6.870292583333334, 6.730246333333333, 6.6471306666666665, - 6.410237749999999, + 6.41023775, 6.244338083333333, 6.269577916666666, 6.461115416666666, @@ -33425,21 +33364,21 @@ 7.02465025, 7.142723583333333, 7.207929249999999, - 7.0729740833333326, - 6.905764333333335, + 7.072974083333333, + 6.905764333333334, 6.783230083333334, 6.78614875, 6.707891999999999, 6.696830916666667, 6.685720083333333, 6.3659105, - 5.975406166666666, - 5.841446000000001, + 5.975406166666668, + 5.841446, 5.9804474999999995, - 6.1126830000000005, - 6.285282333333332, + 6.112683, + 6.285282333333333, 6.079848, - 6.04029675, + 6.0402967499999995, 5.73314025, 5.512581916666666, 5.2489566666666665, @@ -33480,14 +33419,14 @@ 4.029335416666666, 3.98940275, 3.9206814166666666, - 3.7987939166666664, + 3.798793916666667, 3.682262833333333, - 3.6374546666666667, + 3.6374546666666663, 3.5951505833333335, - 3.6217502500000003, + 3.62175025, 3.5961124166666663, 3.57747275, - 3.5767596666666672, + 3.576759666666667, 3.6294117500000005, 3.6951812499999996, 3.854746083333333, @@ -33496,16 +33435,16 @@ 3.85477925, 3.7128590833333335, 3.6051337500000002, - 3.562912583333334, - 3.515567166666667, + 3.562912583333333, + 3.5155671666666666, 3.4372938333333334, - 3.390926833333333, + 3.3909268333333333, 3.35359775, - 3.316600333333333, - 3.3582576666666664, - 3.378489333333333, + 3.3166003333333336, + 3.358257666666667, + 3.3784893333333335, 3.3069819999999996, - 3.2665518333333328, + 3.266551833333333, 3.2038336666666667, 3.1044995, 3.0190621666666666, @@ -33523,27 +33462,27 @@ 2.987371416666667, 3.0656613333333333, 3.116754583333333, - 3.159639083333333, + 3.1596390833333334, 3.2334680833333334, 3.3114760833333334, - 3.3359696666666667, + 3.3359696666666663, 3.3587054166666666, 3.3589707499999997, 3.3355385, 3.3267659166666665, - 3.2318097499999996, + 3.23180975, 3.0578174166666665, 2.914935416666667, - 2.826513083333333, + 2.8265130833333334, 2.7804611666666665, - 2.7596988333333337, + 2.759698833333333, 2.7892337499999997, 2.8312227500000002, 2.7959002500000003, 2.71719575, 2.6895015833333336, - 2.710744833333334, - 2.6985892499999995, + 2.710744833333333, + 2.69858925, 2.661392833333333, 2.6678934999999995, 2.645141166666667, @@ -33564,7 +33503,7 @@ 2.5964525, 2.5480955, 2.4892578333333333, - 2.449822666666666, + 2.449822666666667, 2.4351298333333338, 2.3979334166666666, 2.3440873333333334, @@ -33576,40 +33515,40 @@ 1.9821063333333333, 1.9303331666666668, 1.8884104999999998, - 1.8511643333333332, - 1.7996067499999997, + 1.8511643333333334, + 1.79960675, 1.767186333333333, 1.7383479166666667, 1.7185474166666665, 1.7577006666666666, 1.7633058333333334, 1.7549146666666664, - 1.7309351666666664, + 1.7309351666666666, 1.718365, 1.6952644166666668, 1.6663596666666665, 1.6384333333333332, - 1.610341166666667, + 1.6103411666666665, 1.5871244999999998, 1.5491154999999999, 1.51931525, 1.5079888333333331, - 1.5010901666666665, + 1.5010901666666667, 1.4975579166666666, - 1.490709, + 1.4907089999999998, 1.4854520833333333, 1.483147, 1.4643249166666665, - 1.4539271666666664, - 1.4357518333333332, + 1.4539271666666667, + 1.4357518333333334, 1.4030163333333334, 1.370314, 1.3331175833333333, 1.302455, - 1.2689400833333333, + 1.2689400833333335, 1.2292064166666667, 1.2018936666666666, - 1.1687601666666667, + 1.1687601666666665, 1.18181125, 1.1930215833333333, 1.2031871666666667, @@ -33626,28 +33565,28 @@ 1.0569884999999999, 1.049526, 1.0321798333333332, - 1.0043032500000002, - 0.9837067499999999, + 1.00430325, + 0.98370675, 0.9696606666666666, - 0.9558799166666668, + 0.9558799166666666, 0.9444208333333334, - 0.9289485833333333, - 0.9051017499999999, + 0.9289485833333334, + 0.90510175, 0.8785518333333333, 0.8557, 0.8340421666666666, 0.8145733333333333, - 0.7962653333333334, - 0.7782226666666667, + 0.7962653333333333, + 0.7782226666666666, 0.7586875000000001, 0.7393015833333334, - 0.71555425, + 0.7155542500000001, 0.69008225, 0.6618076666666667, 0.6351416666666666, 0.6128039166666668, 0.5945290833333333, - 0.5772160833333332, + 0.5772160833333333, 0.5599528333333333, 0.5473494999999999, 0.5394558333333334, @@ -33656,11 +33595,11 @@ 0.5320265000000001, 0.5250946666666667, 0.5087269166666667, - 0.49013699999999993, + 0.490137, 0.47088375, 0.4521943333333333, - 0.4341350833333334, - 0.3777185833333333, + 0.43413508333333334, + 0.37771858333333336, 0.3776190833333333, 0.35398783333333333, 0.31894725, @@ -33669,13 +33608,13 @@ 0.2533933333333333, 0.23085658333333334, 0.21064149999999998, - 0.19445616666666662, + 0.19445616666666665, 0.17973016666666664, 0.164772, - 0.15235108333333336, + 0.15235108333333333, 0.13798991666666666, 0.12455741666666666, - 0.10926758333333332, + 0.10926758333333335, 0.094326, 0.07906933333333332, 0.06411116666666666, @@ -34569,148 +34508,148 @@ null, null, null, - 0.25988130000000004, - 0.48480693333333336, - 0.5834283, - 0.6003925666666667, - 0.5920429666666666, + 0.2598813, + 0.4848069333333333, + 0.5834282999999999, + 0.6003925666666666, + 0.5920429666666667, 0.5574020666666667, 0.5025664, - 0.45631226666666674, - 0.5202761666666668, - 0.7184466333333334, - 0.9465033666666668, - 1.1294159333333333, - 1.2126800000000002, - 1.2316488333333335, - 1.1966269, + 0.45631226666666663, + 0.5202761666666667, + 0.7184466333333333, + 0.9465033666666667, + 1.1294159333333336, + 1.21268, + 1.2316488333333333, + 1.1966268999999998, 1.2204994666666666, - 1.4122255000000004, - 1.5728890333333334, - 1.6259686333333336, - 1.683703466666667, - 1.7328402, - 1.7177148333333334, - 1.6555070000000003, - 1.6570642666666668, - 1.6893361333333337, - 1.9061772333333338, - 2.1380443000000002, - 2.352963666666667, + 1.4122255, + 1.5728890333333332, + 1.6259686333333334, + 1.6837034666666668, + 1.7328401999999998, + 1.7177148333333332, + 1.655507, + 1.6570642666666666, + 1.689336133333333, + 1.9061772333333336, + 2.1380443, + 2.3529636666666667, 2.5437951, 2.7754136666666667, - 2.880744533333334, - 3.0355600333333337, - 3.2044075000000007, - 3.2708895333333334, - 3.3923563333333338, - 3.6378412, - 3.772511633333334, - 3.9507524000000003, + 2.8807445333333335, + 3.0355600333333332, + 3.2044075000000003, + 3.270889533333333, + 3.3923563333333333, + 3.6378411999999996, + 3.7725116333333335, + 3.9507524, 4.126822933333334, - 4.257070066666667, - 4.3527757000000005, - 4.5496374, - 4.770023766666668, + 4.2570700666666665, + 4.3527757, + 4.549637399999999, + 4.770023766666666, 4.862913066666667, - 4.945845800000001, - 5.031246966666668, + 4.9458458, + 5.031246966666667, 5.1486218, - 5.225756200000001, - 5.272921500000001, - 5.390644233333333, - 5.485206766666667, + 5.225756199999999, + 5.2729215, + 5.390644233333334, + 5.485206766666666, 5.581972666666667, 5.610268533333334, 5.670206733333333, - 5.802027700000001, - 5.8938733, - 5.964397600000001, - 6.054089533333335, - 6.107251966666667, - 6.1616072000000015, + 5.8020277, + 5.893873299999999, + 5.9643976, + 6.054089533333332, + 6.1072519666666665, + 6.161607200000001, 6.287911466666667, 6.346375233333333, - 6.393905000000001, - 6.410968666666667, - 6.480648066666666, - 6.622906033333335, - 6.761171433333335, - 6.883947, + 6.393905, + 6.410968666666666, + 6.4806480666666655, + 6.622906033333334, + 6.761171433333334, + 6.883946999999999, 6.953460733333333, - 7.024680833333334, - 7.114869766666668, - 7.348873933333334, - 7.272385633333333, - 7.202027000000001, - 7.0912954, - 7.031638833333334, + 7.024680833333333, + 7.114869766666666, + 7.3488739333333335, + 7.272385633333332, + 7.202027, + 7.091295399999999, + 7.031638833333333, 6.9984061, - 6.926274833333334, - 6.855336366666668, - 6.7714427666666674, - 6.691989033333335, + 6.926274833333333, + 6.855336366666666, + 6.771442766666667, + 6.691989033333333, 6.6175053, - 6.534754800000001, - 6.460353900000001, - 6.398593366666667, - 6.330173033333335, - 6.273100866666668, + 6.5347548, + 6.4603539, + 6.398593366666666, + 6.330173033333334, + 6.273100866666667, 6.1888925, - 6.1090743, + 6.1090743000000005, 6.0252304, - 5.942065733333334, - 5.836768000000001, - 5.748832133333333, - 5.689705700000001, - 5.6345884, + 5.942065733333333, + 5.836767999999999, + 5.748832133333334, + 5.6897057, + 5.634588399999999, 5.553444866666667, - 5.470379600000001, + 5.4703796, 5.377904466666667, - 5.3187117666666675, + 5.318711766666667, 5.2308753, 5.1513553000000005, 5.066318600000001, 5.0163369666666675, 4.9238452666666666, - 4.823484400000001, + 4.8234844, 4.7502100333333335, - 4.655117366666667, + 4.655117366666666, 4.554889033333334, - 4.423018366666668, - 3.9369855000000005, - 3.041159566666667, - 1.9158853000000002, + 4.423018366666667, + 3.9369855, + 3.0411595666666664, + 1.9158853, 0.6775435333333334, 0.3127124, 0.29225256666666666, - 0.2835550666666667, + 0.28355506666666663, 0.2747416, - 0.26675646666666675, + 0.26675646666666664, 0.2574128666666667, 0.24841716666666666, - 0.23837776666666669, - 0.22436236666666667, - 0.20635440000000002, - 0.18692170000000002, + 0.23837776666666663, + 0.22436236666666665, + 0.2063544, + 0.1869217, 0.16891373333333334, 0.15547816666666667, - 0.14253960000000002, + 0.1425396, 0.13395806666666668, 0.1257907, - 0.11719260000000002, - 0.10900866666666668, + 0.1171926, + 0.10900866666666666, 0.1005431, 0.09221006666666667, - 0.08412553333333335, - 0.07625636666666667, - 0.06830436666666669, - 0.060932200000000006, - 0.052980200000000005, - 0.04605533333333334, + 0.08412553333333334, + 0.07625636666666666, + 0.06830436666666667, + 0.0609322, + 0.0529802, + 0.04605533333333333, 0.037921100000000006, - 0.029554933333333335, - 0.0209237, + 0.02955493333333333, + 0.020923699999999996, null, null, null, @@ -35598,23 +35537,23 @@ 0.28702665, 0.43139229999999995, 0.57215005, - 0.6532947, + 0.6532946999999999, 0.720587, 0.7847513500000001, 0.8700335, - 0.94836465, + 0.9483646499999999, 0.9379215999999999, 0.85141475, - 0.7342573000000001, + 0.7342573, 0.5805078, 0.4209658, 0.4174903, - 0.5068272, + 0.5068271999999999, 0.5974053500000001, 0.7883261500000001, 0.9546536499999999, 1.0101623499999999, - 0.9955487, + 0.9955487000000001, 1.0237829999999999, 1.17003535, 1.2383868500000002, @@ -35635,12 +35574,12 @@ 5.398245899999999, 4.88037985, 4.6085461, - 3.7851836, + 3.7851835999999994, 3.5787554499999996, 3.02317195, 2.6540242000000003, 2.6570859500000004, - 2.8015177999999996, + 2.8015178, 2.7810951, 2.6942738, 2.5130016499999996, @@ -35654,7 +35593,7 @@ 2.24413035, 2.1515331000000004, 2.0039402, - 1.9414473999999997, + 1.9414474000000002, 1.9491597, 1.9295645, 1.98555315, @@ -35662,15 +35601,15 @@ 2.0771077499999997, 2.1157023500000003, 2.1791054, - 2.2452226499999997, - 2.3176289, + 2.24522265, + 2.3176289000000003, 2.4221090499999995, 2.468929, 2.4915363, 2.4021000999999997, 2.2968089999999997, 2.2779419999999995, - 2.3952649499999996, + 2.39526495, 2.4383776999999998, 2.5270195, 2.5610463, @@ -35683,22 +35622,22 @@ 2.4423662499999996, 2.5291875499999996, 2.64907575, - 2.7319581499999996, + 2.73195815, 2.5416828, 2.437815, 2.4403140499999996, 2.4274050499999995, 2.3966386, - 2.4068168500000002, + 2.40681685, 2.42753745, 2.4032916999999996, 2.35091095, - 2.3192011499999996, + 2.31920115, 2.34770025, 2.3733693000000002, 2.3936596, 2.3928817500000004, - 2.3985418500000004, + 2.39854185, 2.35696825, 2.3212368, 2.2691705000000004, @@ -35721,7 +35660,7 @@ 1.9587587, 1.8982850000000002, 1.8769354999999999, - 1.8457883999999998, + 1.8457884, 1.8308437499999999, 1.80459545, 1.7894522, @@ -35729,35 +35668,35 @@ 1.7787278, 1.7920505500000001, 1.8027583999999999, - 1.8003421, + 1.8003420999999997, 1.8077565, 1.804612, 1.79383795, - 1.78989905, + 1.7898990499999998, 1.7872676, 1.79757825, - 1.7954929499999999, + 1.79549295, 1.810901, 1.8062669999999998, 1.8190105, 1.8441499499999998, - 1.8537820500000002, - 1.85974005, - 1.8653008500000001, + 1.85378205, + 1.8597400499999999, + 1.86530085, 1.8607165, - 1.84510985, - 1.8302810500000002, + 1.8451098499999998, + 1.83028105, 1.8201028000000001, - 1.79694935, + 1.7969493499999998, 1.7943013499999998, 1.7847188999999997, 1.7673248500000003, 1.7406959, - 1.7255526499999998, + 1.72555265, 1.7485737, 1.7661994499999998, 1.7823357000000002, - 1.7801676499999997, + 1.7801676499999999, 1.8343357999999998, 1.8451595, 1.8648208999999998, @@ -35765,20 +35704,20 @@ 1.8866834499999998, 1.8651188, 1.83190295, - 1.82796405, + 1.8279640499999998, 1.8201690000000001, 1.8318367500000001, 1.85295455, - 1.8755783999999998, + 1.8755784, 1.8947101999999998, - 1.9146363999999998, - 1.9361679499999997, + 1.9146364, + 1.93616795, 1.9644684499999998, 1.9871419499999998, - 2.0026162, - 2.00779635, + 2.0026162000000003, + 2.0077963499999996, 1.9853876499999998, - 1.9782711499999996, + 1.97827115, 2.0367423, null, null, @@ -35814,7 +35753,7 @@ null, null, 2.0176601499999998, - 2.5337718999999996, + 2.5337719, 2.50135045, 2.5308922, 2.5190423999999996, @@ -35822,15 +35761,15 @@ 2.46063745, 2.45602, 2.42310205, - 2.3989059499999996, + 2.39890595, 2.36855325, 2.3763483, 2.36269455, 2.3247123000000003, - 2.3331858999999993, + 2.3331858999999997, 2.3090229, 2.27623735, - 2.2219698999999995, + 2.2219699, 2.18206785, 2.1554057999999996, 2.15939435, @@ -35839,8 +35778,8 @@ 2.3523177, 2.4694917, 2.5923258, - 2.747399299999999, - 2.7998793500000003, + 2.7473992999999997, + 2.79987935, 2.8649539500000003, 2.9074709, 2.9026383, @@ -35853,7 +35792,7 @@ 2.4499296, 2.4004450999999998, 2.3785328999999997, - 2.3636378999999996, + 2.3636379, 2.3667162, 2.3608409499999996, 2.33551945, @@ -35876,7 +35815,7 @@ 2.04566275, 2.0203246999999998, 2.0096334, - 1.9906671, + 1.9906670999999998, 2.0036423, 2.02030815, 1.9961782499999998, @@ -35887,77 +35826,77 @@ 1.9762354999999998, 1.9396269, 1.90260455, - 1.8580353999999997, + 1.8580354, 1.8064987, 1.78857505, 1.79516195, - 1.7938876, + 1.7938875999999997, 1.8010537500000001, - 1.80191435, + 1.8019143499999999, 1.7937386499999999, - 1.7917526499999998, - 1.8378443999999996, + 1.79175265, + 1.8378443999999998, 1.8990132, 1.9451215, 1.9305409500000001, 1.903581, 1.8692397499999998, - 1.82750065, + 1.8275006500000002, 1.79784305, 1.7846857999999999, 1.7728359999999999, 1.76944325, 1.7766424999999997, - 1.78635735, + 1.7863573499999998, 1.80621735, 1.84838675, - 1.8649698500000003, + 1.8649698499999998, 1.8845153999999997, 1.9334206499999997, - 1.9465116999999998, - 1.9393786499999999, + 1.9465117, + 1.93937865, 1.98101845, - 1.9839808999999997, - 1.9786849, + 1.9839809, + 1.9786849000000002, 1.9901209499999999, 2.04169075, 2.12636055, 2.2476223999999996, - 2.3763648500000003, + 2.37636485, 2.5157655, 2.69783205, 2.85528875, 3.0167008999999996, 3.11035735, 3.1453275, - 3.12750315, - 3.1677362000000002, + 3.1275031500000003, + 3.1677362, 3.1619437, 3.1986681499999996, 3.3118205, 3.3899530499999995, - 3.3233889500000005, + 3.32338895, 3.32371995, - 3.2242047999999994, + 3.2242048000000003, 3.17417415, 3.1126578, 3.1312599999999997, - 3.0363292000000004, + 3.0363292, 2.9451387, 2.8560997, 2.7796055999999996, - 2.7406468999999998, + 2.7406469, 2.7490212000000005, 2.71362075, 2.6807689999999997, 2.68257295, - 2.7297735499999995, + 2.72977355, 2.79782715, 2.6940752, 2.56808005, 2.51962165, - 2.5084503999999996, - 2.50611685, + 2.5084504, + 2.5061168499999997, 2.5075567000000003, 2.4599919999999997, 2.39483465, @@ -35966,7 +35905,7 @@ 2.2806893, 2.2732748999999997, 2.2269349, - 2.1673218, + 2.1673217999999994, 2.10060875, 2.0516869499999997, 2.0041056999999998, @@ -35982,11 +35921,11 @@ 2.07988815, 2.0384635, 2.0284011, - 2.03715605, - 2.0754196499999997, + 2.0371560499999997, + 2.07541965, 2.1045476499999998, 2.1191944, - 2.1249703500000003, + 2.12497035, 2.13572785, 2.1265757, 2.1184, @@ -35995,13 +35934,13 @@ 2.13198755, 2.0914069499999997, 2.0614845500000003, - 2.0309828999999997, + 2.0309829, 2.0105933, 1.98505665, - 1.9400241, - 1.8827776499999997, - 1.82544845, - 1.8059856499999998, + 1.9400240999999998, + 1.8827776500000002, + 1.8254484500000001, + 1.80598565, 1.7683674999999999, 1.7570473, 1.7417881999999998, @@ -36009,11 +35948,11 @@ 1.7541676, 1.79655215, 1.84646695, - 1.8988973500000002, - 1.9357873, - 1.9474053999999998, + 1.89889735, + 1.9357872999999997, + 1.9474054, 1.9682915, - 2.0021196999999997, + 2.0021197, 2.08296645, 2.1700029, 2.1793702, @@ -36058,12 +35997,12 @@ null, null, null, - 1.48504805, - 1.7482758, - 1.7240466000000003, + 1.4850480499999998, + 1.7482757999999998, + 1.7240466, 1.7864732, - 1.8574396000000002, - 1.9520890499999999, + 1.8574396, + 1.9520890499999997, 2.02808665, 2.1158844, 2.0376028999999996, @@ -36074,33 +36013,33 @@ 2.00458565, 1.9752425, 1.9306568000000002, - 2.05562585, + 2.0556258499999998, 2.1347845000000003, - 1.9919248999999999, + 1.9919249, 1.90763575, 1.9613074, 1.8677006, 1.74931845, - 1.6669821999999999, - 1.6232571, + 1.6669822, + 1.6232570999999998, 1.62191655, 1.6257065, 1.6425875, 1.5908853, 1.5431219999999999, 1.4769882, - 1.49113845, + 1.4911384500000002, 1.4620931999999998, - 1.4849321999999998, + 1.4849322, 1.54793805, 1.67381735, 1.78400725, - 1.9300941, + 1.9300940999999998, 2.1036704999999998, 1.9935302499999998, - 1.8699348500000001, + 1.86993485, 1.8657477, - 1.9431024, + 1.9431024000000001, 1.9339337, 1.9514104999999997, 2.1040015, @@ -36112,7 +36051,7 @@ 1.6738669999999998, 1.5538795, 1.5486662500000001, - 1.5725644499999998, + 1.5725644500000002, 1.5943938999999998, 1.5940298000000002, 1.5194058499999998, @@ -36127,33 +36066,33 @@ 1.0001826999999999, 0.9630610500000001, 0.857952, - 0.6810987, + 0.6810987000000001, 0.5645039500000001, 0.49671515000000005, 0.44772714999999996, - 0.4092980499999999, + 0.40929805, 0.3758836, 0.34460409999999997, - 0.31895160000000006, + 0.3189516, 0.29809860000000005, 0.27875165, - 0.26382354999999996, + 0.26382355, 0.2595371, 0.25594574999999997, 0.2514938, 0.24762109999999998, 0.24277195, - 0.23871720000000002, + 0.2387172, 0.23256059999999998, 0.22102525, 0.20626264999999996, 0.19140075, 0.17341089999999998, 0.15369985000000003, - 0.13216830000000002, - 0.11025610000000001, - 0.08685439999999998, - 0.0667958, + 0.1321683, + 0.1102561, + 0.0868544, + 0.06679579999999999, 0.0485246, 0.0322394, null, @@ -37039,11 +36978,11 @@ 0.11269119999999999, 0.2607968, 0.47220853333333335, - 0.6207274666666667, + 0.6207274666666666, 0.6894565333333333, 0.7595413333333333, 0.8309818666666667, - 0.8907664, + 0.8907664000000001, 0.9725898666666667, 1.103848, 1.2271205333333335, @@ -37051,11 +36990,11 @@ 1.5137093333333336, 1.6459264, 1.6511013333333333, - 1.7598410666666668, + 1.7598410666666666, 1.8832128, 2.0372042666666665, 2.1357594666666664, - 2.2271392, + 2.2271391999999994, 2.3235946666666663, 2.5244415999999994, 2.7063082666666665, @@ -37073,9 +37012,9 @@ 0.40179306666666664, 0.3136869333333333, 0.2612928, - 0.24021280000000003, + 0.2402128, 0.23350026666666665, - 0.22968106666666668, + 0.22968106666666666, 0.22806079999999998, 0.2263413333333333, 0.22258826666666665, @@ -37086,7 +37025,7 @@ 0.14673333333333333, 0.121272, 0.101432, - 0.0889824, + 0.08898239999999999, 0.07828533333333333, 0.06576960000000001, 0.05394826666666666, @@ -37099,8 +37038,8 @@ 0.05140213333333333, 0.05497333333333333, 0.05794933333333333, - 0.054047466666666655, - 0.04545013333333333, + 0.05404746666666666, + 0.04545013333333334, 0.038721066666666665, 0.031992, null, @@ -37110,13 +37049,13 @@ null, null, null, - 0.06479413333333332, - 0.10040693333333332, + 0.06479413333333334, + 0.10040693333333334, 0.1293568, 0.15324746666666667, 0.18051093333333332, 0.22455573333333334, - 0.27579253333333326, + 0.2757925333333333, 0.3332128, 0.40915039999999997, 0.4947434666666667, @@ -37128,33 +37067,33 @@ 0.5156085333333333, 0.5493365333333333, 0.6441056, - 0.7410074666666665, + 0.7410074666666666, 0.6547861333333334, 0.7603514666666666, 1.2449103999999998, 1.8544613333333333, 1.8857423999999998, 4.003645866666666, - 5.589142933333334, + 5.589142933333333, 3.7268117333333337, 3.774229333333333, 3.4901866666666663, 6.152565866666666, - 7.194959466666667, + 7.194959466666666, 2.1969658666666665, - 1.7566997333333336, + 1.7566997333333332, 1.5960784000000001, 1.4723429333333333, - 1.3981744, + 1.3981743999999998, 1.4085408000000001, - 1.2730005333333336, - 1.1305328, + 1.2730005333333334, + 1.1305328000000001, 1.0346064, 0.9729370666666667, 0.9099946666666666, - 0.8690581333333331, - 0.8548394666666665, - 0.8447872, + 0.8690581333333333, + 0.8548394666666667, + 0.8447871999999998, 0.8126629333333333, 0.7734623999999999, 0.7376842666666668, @@ -37162,17 +37101,17 @@ 0.6903493333333334, 0.6737829333333334, 0.6566378666666667, - 0.6439237333333332, + 0.6439237333333333, 0.6219839999999999, 0.5936128, - 0.5687631999999999, + 0.5687632, 0.5461952, 0.5152613333333333, 0.47384533333333334, 0.4321152, 0.39081493333333334, 0.36067466666666664, - 0.33088159999999994, + 0.3308816, 0.30146880000000004, 0.2877130666666667, 0.29158186666666663, @@ -37185,20 +37124,20 @@ 0.2561178666666667, 0.23650933333333332, 0.21875253333333333, - 0.20023519999999997, - 0.1699296, - 0.16683786666666667, + 0.2002352, + 0.16992960000000001, + 0.16683786666666664, 0.1772704, 0.19294399999999998, 0.19157173333333333, 0.1998384, - 0.19752373333333337, + 0.19752373333333334, 0.18724, - 0.17593119999999998, + 0.1759312, 0.15685173333333333, 0.1543056, 0.15566133333333332, - 0.13939253333333335, + 0.13939253333333332, 0.13140693333333334, 0.14059946666666664, 0.1343664, @@ -37209,36 +37148,36 @@ 0.112344, 0.11336906666666667, 0.10794613333333333, - 0.11249279999999999, + 0.1124928, 0.10315146666666666, 0.12456213333333332, 0.14431946666666665, 0.13210133333333332, 0.12980319999999998, - 0.14362506666666666, + 0.14362506666666663, 0.14903146666666664, - 0.16270453333333335, + 0.16270453333333332, 0.17500533333333335, 0.19296053333333332, 0.20779093333333334, 0.21511519999999998, - 0.2105354666666667, - 0.2105024, + 0.21053546666666667, + 0.21050239999999998, 0.2317808, 0.21175893333333334, 0.20987413333333335, - 0.21177546666666666, + 0.21177546666666663, 0.21592533333333333, 0.20099573333333334, - 0.18156906666666667, - 0.16900373333333335, + 0.18156906666666664, + 0.16900373333333332, 0.15242079999999997, 0.15166026666666665, 0.15759573333333332, 0.18785173333333333, - 0.2190005333333333, + 0.21900053333333333, 0.21233760000000002, - 0.20917973333333334, + 0.2091797333333333, 0.19320853333333332, 0.18603306666666666, 0.211048, @@ -37247,42 +37186,42 @@ 0.2644010666666667, 0.2945082666666667, 0.31590239999999997, - 0.35308586666666664, + 0.3530858666666667, 0.3815232, - 0.43123893333333335, + 0.4312389333333333, 0.48679093333333334, 0.5324229333333333, 0.5709952, - 0.6144282666666667, + 0.6144282666666666, 0.6493466666666666, 0.6752213333333333, 0.7089327999999999, - 0.7548458666666668, + 0.7548458666666666, 0.8284357333333333, 0.9074650666666667, 0.9961333333333333, 1.1251098666666666, - 1.2677264, + 1.2677264000000001, 1.3498309333333334, - 1.5014415999999997, + 1.5014416, 1.6906490666666667, 1.8627280000000002, 2.0558373333333333, 2.3997802666666668, - 2.8084512, + 2.8084512000000004, 3.4128437333333332, - 4.287953066666667, + 4.287953066666666, 5.0387648, 6.4469088, - 6.356769066666667, + 6.356769066666668, 6.1369088000000005, 6.4547456, - 17.264090133333333, + 17.264090133333337, 17.553671466666668, 17.1699824, 17.288013866666667, 16.93112533333333, - 5.967409066666666, + 5.967409066666667, 5.262741866666666, 4.807992533333333, 5.593772266666667, @@ -37291,7 +37230,7 @@ 17.303373333333337, 6.009767466666666, 4.948079466666667, - 4.603640533333333, + 4.6036405333333335, 4.5774186666666665, 4.611675733333334, 4.613775466666667, @@ -37307,19 +37246,19 @@ 5.4457493333333336, 4.1340938666666665, 3.861922133333333, - 3.9025114666666667, + 3.9025114666666663, 3.8190016, 3.067644266666667, - 2.8756592, + 2.8756592000000003, 2.743640533333333, 2.733439466666667, 2.8507269333333336, - 2.555259733333334, + 2.555259733333333, 2.1568890666666665, 1.7335530666666668, - 1.685970133333333, + 1.6859701333333332, 1.697312, - 1.6631375999999998, + 1.6631376, 1.6605088, 1.6412970666666666, 1.6723301333333334, @@ -37329,10 +37268,10 @@ 1.9031685333333332, 1.9038133333333334, 1.8151119999999998, - 1.808878933333333, - 1.8697712, - 1.8413338666666668, - 1.8584789333333331, + 1.8088789333333333, + 1.8697711999999997, + 1.8413338666666665, + 1.8584789333333334, 1.9518096, 2.0537045333333332, 2.145762133333333, @@ -37341,18 +37280,18 @@ 2.2679269333333334, 2.240184, 2.1265834666666663, - 2.0253994666666664, + 2.025399466666667, 1.8917274666666666, 1.8110778666666665, - 1.7135477333333333, + 1.713547733333333, 1.5986245333333333, - 1.5132629333333332, + 1.5132629333333334, 1.4519408, 1.4200645333333335, - 1.3065632, + 1.3065631999999998, 1.0819743999999998, 0.7626826666666667, - 0.5639189333333334, + 0.5639189333333333, 0.48277333333333333, 0.46328053333333336, 0.47812746666666667, @@ -37360,15 +37299,15 @@ 0.4396213333333333, 0.4384309333333334, 0.458552, - 0.44696213333333334, + 0.4469621333333333, 0.42027733333333334, 0.4420352, 0.4121098666666666, - 0.3601290666666666, + 0.36012906666666666, 0.3096528, 0.26767466666666667, 0.22973066666666667, - 0.2025994666666667, + 0.20259946666666664, 0.18299093333333333, 0.16068746666666664, 0.14327786666666667, @@ -37376,7 +37315,7 @@ 0.10578026666666666, 0.08706453333333333, 0.07694613333333332, - 0.07139093333333334, + 0.07139093333333332, 0.06481066666666667, 0.05748639999999999, 0.0521296, @@ -37389,9 +37328,9 @@ null, null, null, - 0.04110186666666667, + 0.041101866666666674, 0.04753333333333333, - 0.05507253333333333, + 0.055072533333333326, null, null, null, @@ -37412,8 +37351,8 @@ null, 0.07952533333333332, 0.08236906666666666, - 0.09792693333333331, - 0.11484053333333334, + 0.09792693333333333, + 0.11484053333333333, 0.10592906666666665, 0.07707839999999999, null, @@ -38388,22 +38327,22 @@ null, null, null, - 0.11409713333333332, + 0.11409713333333334, 0.12868135, - 0.17109615000000003, + 0.17109615, 0.18837258333333332, 0.19316241666666667, - 0.2191266166666667, + 0.21912661666666666, 0.25642125, - 0.28719179999999994, - 0.37299588333333333, - 0.3420106166666666, + 0.2871918, + 0.3729958833333333, + 0.34201061666666666, 0.3490136833333333, - 0.46935411666666665, + 0.4693541166666667, 0.6350328, 0.5685697333333334, 0.9658946666666667, - 1.2156762166666668, + 1.2156762166666666, 0.8450091833333334, 1.3025869166666666, 0.9943363666666666, @@ -38411,7 +38350,7 @@ 0.5102328666666667, 0.516311, 0.6265762666666665, - 0.6249411166666666, + 0.6249411166666667, 0.5432992333333333, 0.4279138, 0.5522843000000001, @@ -38420,17 +38359,17 @@ 0.6403181333333333, 0.6216047499999999, 0.7254945833333333, - 0.8907108, + 0.8907107999999999, 1.0080617166666666, 0.97004035, 0.9390550833333332, - 0.9178476833333334, + 0.9178476833333333, 1.1026031166666668, - 1.3997379500000002, + 1.39973795, 1.4755329333333334, 1.4266270833333332, 1.4298808666666667, - 1.4266931499999997, + 1.42669315, 1.4921156666666666, 1.4177080833333333, 1.3671505666666666, @@ -38442,28 +38381,28 @@ 1.16338445, 1.1366604833333334, 1.1800662833333333, - 1.1505344833333333, + 1.1505344833333335, 1.26238535, 1.2053863333333334, - 1.2407485166666667, + 1.2407485166666665, 1.1722704166666666, 1.0999769666666666, 0.9729142500000001, - 0.9542338999999999, + 0.9542339, 0.92990485, 0.8905621499999999, 0.8872092666666667, 0.8528546, - 0.8779599333333334, + 0.8779599333333333, 0.9216465166666666, 0.9777701499999999, - 0.9905210166666668, + 0.9905210166666666, 0.9552083833333334, - 0.9454305166666668, - 0.8925276333333334, + 0.9454305166666667, + 0.8925276333333333, 0.8424160666666667, 0.7911483333333333, - 0.7592546499999998, + 0.7592546499999999, 0.7512605833333333, 0.7544152666666667, 0.7573387166666666, @@ -38477,7 +38416,7 @@ 1.2023803000000002, 1.3907859166666665, 1.5864258333333332, - 1.614454616666667, + 1.6144546166666667, 1.5234643, 1.4388989666666665, 1.3428049999999998, @@ -38487,8 +38426,8 @@ 1.3892663833333332, 1.5479585166666667, 1.7663418833333333, - 1.8883835333333334, - 1.9288493666666666, + 1.8883835333333332, + 1.9288493666666664, 1.8817108, 1.82854365, 1.7858480666666665, @@ -38502,26 +38441,26 @@ 1.6123404833333335, 1.5335394666666666, 1.6245793333333334, - 1.9689022833333334, + 1.9689022833333332, 2.619444233333333, 3.0290080166666664, 2.9456318833333333, - 2.6806715166666666, + 2.680671516666666, 2.5572259500000003, 2.64780335, 2.91844545, - 3.103200883333333, + 3.1032008833333338, 3.110022266666667, 3.0596794666666662, - 2.7431870999999997, + 2.7431871, 2.4999957, 2.574205083333333, 3.11307785, - 3.6672945999999995, + 3.6672946, 4.275091416666666, - 5.728343366666666, + 5.7283433666666665, 5.661417833333333, - 4.352323349999999, + 4.352323350000001, 3.571497933333333, 3.495884633333333, 3.9122698, @@ -38536,62 +38475,62 @@ 4.493061866666666, 5.620621666666667, 7.411210016666666, - 4.9186468166666675, + 4.918646816666667, 3.8080496333333334, 3.732485883333333, 4.161952250000001, 4.672829266666667, 5.444917366666667, 4.355114666666666, - 3.235185566666667, + 3.2351855666666665, 2.803753716666666, 2.3671191166666667, - 2.1298076499999996, + 2.12980765, 2.0784408166666664, 2.142921883333333, 2.295519366666667, 2.5731645333333333, - 2.963106516666666, - 3.1903758499999997, + 2.9631065166666666, + 3.19037585, 4.78499395, 4.867874583333333, 4.196620733333333, 4.020404416666667, 3.76545315, - 3.4222202999999998, - 3.4773529333333326, + 3.4222203, + 3.4773529333333335, 4.035335483333333, 4.696960116666666, 4.906870433333334, 5.141687883333333, - 5.266405233333334, + 5.266405233333333, 4.958253783333333, 4.5996439166666665, 4.96238295, - 5.617466983333333, + 5.617466983333332, 6.2230836, 6.911712983333333, 8.444426616666666, - 7.915397783333333, + 7.915397783333334, 7.370628566666667, - 7.434448966666667, + 7.434448966666666, 7.21938545, 8.303572483333333, - 7.301621933333333, - 6.465168383333334, + 7.301621933333334, + 6.465168383333333, 5.013815849999999, 4.34261155, 4.211816066666667, 4.173613016666667, 3.8376474999999997, 3.5157541833333332, - 3.436903616666667, - 3.4565914833333338, - 3.6507779333333326, + 3.4369036166666667, + 3.4565914833333333, + 3.650777933333333, 3.9260116666666667, 4.0520999, - 4.01667165, - 4.025574133333333, + 4.016671649999999, + 4.0255741333333335, 4.2264168, 4.573498033333333, 4.819034799999999, @@ -38603,7 +38542,7 @@ 4.51682935, 4.414591183333333, 4.52465825, - 4.887215599999999, + 4.8872156, 6.09876265, 9.287751100000001, 7.477458366666666, @@ -38611,7 +38550,7 @@ 6.532671999999999, 5.955629216666667, 5.4050131, - 5.885829783333333, + 5.8858297833333335, 6.1448771833333335, 5.197646349999999, 4.8580802, @@ -38622,21 +38561,21 @@ 4.1335105500000004, 4.171746633333333, 4.312600766666666, - 4.420619766666666, + 4.4206197666666665, 4.403541533333334, 4.35301705, 4.230859783333333, 4.087594216666666, 4.009569483333333, - 4.1514311333333325, + 4.151431133333333, 4.371730433333332, 4.655189466666667, 4.2400926000000005, 3.8886014166666665, 3.702838466666666, 3.566724616666667, - 3.5411237833333336, - 3.7349303499999995, + 3.541123783333333, + 3.73493035, 4.28404345, 4.982467216666667, 5.2402098, @@ -38648,41 +38587,41 @@ 8.98623935, 8.4560048, 7.986353383333334, - 7.120401066666667, + 7.120401066666666, 7.028403233333333, - 6.948264366666666, - 7.2505193666666665, - 7.340700366666666, + 6.948264366666667, + 7.250519366666667, + 7.340700366666667, 6.170494533333333, 5.6726822, - 5.316483766666666, + 5.316483766666667, 5.186976583333333, - 5.512569633333333, - 5.963458116666667, + 5.5125696333333325, + 5.963458116666668, 7.361626983333333, 7.6922411, 7.0994249, - 8.384405050000002, + 8.38440505, 7.720187299999999, 5.5744575833333325, 4.9126843, 5.543323666666667, 3.8071412166666665, 4.465115666666666, - 6.225065599999999, + 6.2250656, 7.862478383333333, 7.516322083333333, - 7.025744050000001, - 6.656101050000001, + 7.02574405, + 6.65610105, 6.207657033333333, - 6.533283116666666, + 6.5332831166666665, 6.9118286, 7.056332916666666, - 6.950114233333334, + 6.950114233333333, 7.132557333333332, 7.0247035, 6.781677266666667, - 7.127288516666666, + 7.127288516666667, 6.305518283333333, 5.718499433333333, 6.034711016666666, @@ -38690,7 +38629,7 @@ 5.563457483333334, 5.060624083333333, 4.792476, - 5.290833383333333, + 5.290833383333334, 5.162845733333333, 5.6231322, 5.5739786, @@ -38698,16 +38637,16 @@ 5.066966483333333, 5.82564305, 6.06209565, - 6.101570483333334, - 6.132588783333333, - 6.286788383333334, + 6.101570483333333, + 6.1325887833333335, + 6.286788383333333, 6.592759633333333, - 6.4126453833333334, - 6.348808466666667, + 6.412645383333333, + 6.348808466666666, 6.2316062, 6.579083833333333, 6.2820811333333335, - 6.0458267333333335, + 6.045826733333333, 6.244307516666666, 6.933283749999999, 6.8063366499999995, @@ -38719,44 +38658,44 @@ 5.632546699999999, 4.957015033333334, 5.243001116666666, - 4.744594183333333, + 4.744594183333334, 4.933346650000001, 5.1231727000000005, 5.23936745, 4.9394412999999995, 4.461069083333333, 4.945238649999999, - 5.159773633333333, + 5.159773633333334, 4.78618315, 4.740613666666666, 4.397017449999999, - 4.528523150000001, + 4.52852315, 4.66865055, - 5.192245400000001, + 5.1922454, 4.505366783333333, 4.460524033333333, 4.152207416666667, 3.8637438333333334, 3.8068769499999995, 4.665561933333334, - 5.775927883333334, - 5.030051733333334, + 5.775927883333333, + 5.030051733333333, 4.188742283333333, - 3.3555755499999997, + 3.35557555, 3.68607405, - 3.4437910666666665, - 3.816853016666666, - 3.510799183333333, + 3.443791066666666, + 3.8168530166666663, + 3.5107991833333334, 3.4171661999999996, 2.796238633333333, 2.5799363666666664, - 2.5428399333333336, + 2.542839933333333, 2.7765177333333337, 3.1359864666666666, 3.2328402, - 3.140099116666667, + 3.1400991166666667, 3.0130198833333335, - 2.9415522666666662, + 2.9415522666666667, 2.940214416666666, 3.00436515, 2.72143465, @@ -38772,7 +38711,7 @@ 1.2361899166666668, 1.1015130166666667, 0.9985976666666667, - 0.9712791000000001, + 0.9712791, 1.0128680666666667, 0.9818828, 0.8773653333333333, @@ -38782,31 +38721,31 @@ 0.7138173000000001, 0.7139329166666666, 0.7167242333333332, - 0.7218443999999999, + 0.7218444, 0.7297063333333332, 0.7380307333333334, 0.7508146333333332, - 0.7645730166666668, + 0.7645730166666667, 0.77441695, 0.7747638, - 0.7732112333333332, - 0.7774560166666667, + 0.7732112333333333, + 0.7774560166666666, 0.7899261000000001, - 0.80335415, + 0.8033541500000001, 0.8080613999999999, 0.8030733666666666, 0.7955748, - 0.7909501333333333, + 0.7909501333333332, 0.7851197499999999, 0.780908, 0.7784635333333333, 0.74171395, 0.5618639666666667, - 0.8090523999999998, + 0.8090524, 0.7916438333333333, 0.7784139833333333, 0.7584122999999999, - 0.7322498999999999, + 0.7322499, 0.7075905166666666, 0.6880843333333332, 0.6734670833333333, @@ -38816,7 +38755,7 @@ 0.6229426, 0.6086556833333333, 0.598564, - 0.5985474833333333, + 0.5985474833333332, 0.6013057666666666, 0.6059964999999999, 0.6080610833333332, @@ -38829,7 +38768,7 @@ 0.5889513, 0.5818491333333334, 0.5731283333333334, - 0.5642588833333333, + 0.5642588833333332, 0.5541011333333333, 0.5430845166666667, 0.52656785, @@ -38838,11 +38777,11 @@ 0.4802220833333333, 0.44907165, 0.42888828333333334, - 0.40576494999999996, - 0.38381430000000005, + 0.40576495, + 0.3838143, 0.36746280000000003, - 0.36232611666666664, - 0.3638291333333334, + 0.3623261166666667, + 0.36382913333333333, 0.3624912833333333, 0.35220140000000005, 0.33347150000000003, @@ -38850,11 +38789,11 @@ 0.2931212833333333, 0.27521721666666665, 0.26235073333333336, - 0.2531344333333333, - 0.24481003333333334, + 0.25313443333333335, + 0.24481003333333332, 0.23503216666666668, 0.22520475, - 0.21420465000000002, + 0.21420465, 0.2030393833333333, 0.19274950000000002, 0.18647316666666663, @@ -38862,12 +38801,12 @@ 0.17591901666666665, 0.17127783333333332, 0.16587688333333334, - 0.16075671666666663, + 0.16075671666666666, 0.15773416666666668, 0.15446386666666667, 0.15408398333333334, 0.1431995, - 0.11697103333333335, + 0.11697103333333334, 0.10572318333333332, 0.09406241666666666, 0.08528380833333334, @@ -39775,13 +39714,13 @@ null, null, null, - 0.17148449999999998, - 0.22565399999999997, + 0.1714845, + 0.225654, 0.283767, 0.33668250000000005, 0.37562249999999997, 0.41842350000000006, - 0.475728, + 0.47572800000000004, 0.5372729999999999, 0.6006495, 0.66396, @@ -39790,14 +39729,14 @@ 0.8485455, 0.9156345, 0.9767175, - 1.0948740000000001, + 1.094874, 1.2259665, 1.2691305, 1.3522740000000002, - 1.392963, + 1.3929629999999997, 1.5123075, 1.6366515, - 1.7076840000000002, + 1.707684, 1.7916195, 2.014122, 2.2090035, @@ -39812,8 +39751,8 @@ 2.470974, 2.7145305, 2.8199655000000003, - 3.032997, - 3.6155460000000006, + 3.0329970000000004, + 3.615546, 3.913734, 4.111437, 4.2285375, @@ -39823,7 +39762,7 @@ 4.4731335, 4.584838500000001, 4.673756999999999, - 4.815211499999999, + 4.8152115, 4.9019025, 5.0176004999999995, 5.111997, @@ -39831,64 +39770,64 @@ 5.2983315, 5.379989999999999, 5.472324, - 5.572577999999999, + 5.572578, 5.646366, 5.7180089999999995, 5.82516, 5.911768499999999, 5.9997135, - 6.0722145, + 6.072214499999999, 6.143263500000001, - 6.233732999999999, + 6.233733, 6.288315, - 6.401818500000001, + 6.4018185, 6.4663005, 6.586701000000001, 6.676956, 6.7642904999999995, 6.8213805, 6.8827275, - 6.999316499999999, + 6.9993165, 7.0750515, 7.161528, 7.2552315, 7.3490174999999995, - 7.4506904999999986, + 7.450690499999999, 7.3925445000000005, 7.454337, - 6.7921095000000005, + 6.7921095, 6.3539685, 6.2024325, - 5.782045499999999, + 5.7820455, 5.9127915, - 6.1181505, + 6.1181505000000005, 5.3230815, 4.898289, 4.202616, 4.0620525, 3.8994285, 3.733851, - 3.638877, + 3.6388770000000004, 3.8510009999999997, 4.111635, 4.3022595, 4.1190435, - 3.4320989999999996, + 3.432099, 3.3471569999999997, - 3.2871135000000002, + 3.2871135, 3.20463, 3.1377555, - 3.0907139999999993, + 3.0907139999999997, 3.0282780000000002, 2.9461245, 2.8857014999999997, - 2.9211435000000003, - 2.8786064999999996, - 2.7844739999999994, + 2.9211435, + 2.8786065, + 2.7844740000000003, 2.6673075, - 2.610267, + 2.6102670000000003, 2.5649414999999998, - 2.489784, + 2.4897839999999998, 2.3845140000000002, 2.2798545, 2.2336875000000003, @@ -39898,74 +39837,74 @@ 2.2035089999999995, 2.1893024999999997, 2.1633645, - 2.1359084999999998, - 2.1248205000000002, + 2.1359085, + 2.1248205, 2.1133695, 2.0906985000000002, - 2.0676645, + 2.0676645000000002, 2.0363805, 2.0026875, - 1.9661069999999998, + 1.966107, 1.917828, - 1.8565305, + 1.8565304999999999, 1.7883194999999998, - 1.7203394999999997, + 1.7203395, 1.6632825000000002, 1.618188, 1.572945, - 1.5373544999999997, + 1.5373545, 1.5015, 1.4682359999999999, - 1.4471655, + 1.4471654999999999, 1.444938, 1.463385, - 1.4921444999999998, + 1.4921445, 1.5193695, 1.545555, - 1.5732584999999997, + 1.5732585000000001, 1.578225, 1.60182, 1.630101, 1.6623584999999999, 1.7005065000000001, - 1.7358165, + 1.7358164999999999, 1.779096, 1.8378194999999997, - 1.8699780000000001, - 1.8982919999999996, + 1.869978, + 1.8982919999999999, 1.9151715, 1.896642, - 1.9124984999999997, + 1.9124984999999999, 1.934625, 1.948584, 1.9684994999999998, 2.0061855, - 2.0415780000000003, + 2.041578, 2.050983, - 2.0627145, + 2.0627145000000002, 2.0753865, 2.0806335, 2.086293, 2.0707994999999997, - 2.0671530000000002, + 2.067153, 2.0679285, - 2.1374759999999995, + 2.137476, 2.1277245000000002, - 2.1613680000000004, + 2.1613679999999995, 2.3190584999999997, - 2.2903155, - 2.2471844999999995, + 2.2903154999999997, + 2.2471845000000004, 2.843313, 2.7316575, 3.0831239999999998, - 3.9784305000000004, + 3.9784305, 4.085895, 4.335078, - 4.2721635000000004, + 4.2721635, 3.3165, - 2.5924305000000003, - 2.177274, - 2.0465444999999995, + 2.5924305, + 2.1772739999999997, + 2.0465445, 1.958451, 1.9009485, 1.8654404999999998, @@ -39973,26 +39912,26 @@ 1.654224, 1.5585735, 1.4957084999999999, - 1.4623455000000003, + 1.4623455, 1.4411759999999998, 1.4263095, 1.4322659999999998, - 1.4283555000000001, + 1.4283555, 1.4464725, 1.4406809999999997, - 1.4231744999999996, - 1.3904055000000002, + 1.4231744999999998, + 1.3904055, 1.3447829999999998, 1.2888975, - 1.2288209999999997, - 1.1822415000000002, + 1.228821, + 1.1822415, 1.1339624999999998, 1.08504, 1.0359855, 0.9905609999999999, 0.95106, 0.9328274999999999, - 0.9224159999999999, + 0.922416, 0.933966, 0.9586829999999998, 0.969243, @@ -40000,73 +39939,73 @@ 0.96954, 0.9633855, 0.9544424999999999, - 0.9438659999999999, + 0.943866, 0.9305505, 0.916047, - 0.9027315, - 0.8983095000000001, - 0.8999265, + 0.9027314999999999, + 0.8983095, + 0.8999264999999999, 0.8991674999999999, 0.8965274999999999, 0.8963625000000001, 0.8974844999999999, - 0.8979465000000001, - 0.8987715000000001, + 0.8979465, + 0.8987715, 0.8980125, 0.8915609999999999, 0.8869904999999999, 0.886743, 0.8908679999999999, - 0.897699, + 0.8976989999999999, 0.8501624999999999, 0.600039, 0.9187695, - 0.9079784999999999, - 0.9121034999999998, - 0.9198915000000001, - 0.9269370000000001, - 0.9359790000000001, - 0.9352035, + 0.9079785, + 0.9121035000000001, + 0.9198915, + 0.926937, + 0.935979, + 0.9352035000000001, 0.9295275, - 0.9255509999999999, - 0.928389, + 0.925551, + 0.9283889999999999, 0.9376289999999999, 0.9470670000000001, 0.949839, 0.9429915, 0.9087704999999999, 0.8706719999999999, - 0.8424240000000001, - 0.8158754999999999, + 0.842424, + 0.8158755000000001, 0.784608, 0.7506179999999999, 0.724317, 0.715143, 0.7153574999999999, - 0.6945840000000001, + 0.6945839999999999, 0.6669959999999999, - 0.6331545000000001, + 0.6331545, 0.5876804999999999, - 0.549351, + 0.5493509999999999, 0.5106915, - 0.465102, + 0.46510199999999996, 0.4257495, 0.375606, - 0.32551199999999997, + 0.325512, 0.337788, 0.29797350000000006, 0.27073200000000003, 0.247368, - 0.22944899999999996, - 0.21778350000000002, + 0.229449, + 0.2177835, 0.2074545, 0.2011845, 0.1944855, - 0.18722550000000002, - 0.18085649999999998, - 0.17371199999999998, + 0.1872255, + 0.1808565, + 0.173712, 0.1646205, - 0.155727, + 0.15572700000000003, 0.149721, 0.137973, 0.12002099999999999, @@ -40988,254 +40927,254 @@ null, null, null, - 0.09594948333333336, - 0.11858110000000001, - 0.14831703333333335, + 0.09594948333333334, + 0.1185811, + 0.14831703333333332, 0.17894306666666668, 0.21759648333333334, - 0.28329905000000005, - 0.38615505000000006, - 0.3896989666666667, - 0.3304249, - 0.3465785666666667, - 0.40801195, - 0.46036301666666674, - 0.4618300333333334, + 0.28329905, + 0.38615505, + 0.38969896666666665, + 0.33042489999999997, + 0.34657856666666664, + 0.40801194999999996, + 0.4603630166666666, + 0.46183003333333333, 0.68710775, - 0.7384203666666668, - 0.6916241833333333, - 0.7304754000000001, + 0.7384203666666667, + 0.6916241833333334, + 0.7304754, 0.7744529333333333, - 0.7737276666666667, - 0.5909110166666668, + 0.7737276666666666, + 0.5909110166666666, 1.01120305, 0.9434565500000001, - 0.8754463166666668, - 0.8872154166666668, - 0.8892428666666667, - 0.9186491333333334, + 0.8754463166666666, + 0.8872154166666667, + 0.8892428666666666, + 0.9186491333333332, 0.9434071, - 0.9941592833333335, - 0.99528015, + 0.9941592833333334, + 0.9952801499999999, 1.0133623666666667, 0.9987911, - 0.9892637333333335, + 0.9892637333333333, 1.0004064666666668, 1.0578508833333333, - 1.1278556, - 1.1596519500000002, - 1.2471454833333335, - 1.3667980000000002, - 1.4858241500000002, - 1.601372316666667, - 1.7433597500000002, - 1.8872757333333336, - 1.8743198333333335, - 1.9044019166666668, - 1.9529783000000005, + 1.1278556000000002, + 1.15965195, + 1.2471454833333333, + 1.366798, + 1.48582415, + 1.6013723166666665, + 1.74335975, + 1.8872757333333332, + 1.874319833333333, + 1.9044019166666664, + 1.9529782999999998, 2.0536255333333333, 2.0837900333333335, - 2.070207766666667, + 2.0702077666666665, 2.1079710833333336, - 2.236508116666667, - 2.353935383333334, - 2.608025966666667, - 2.6573111333333337, - 2.7647659833333336, - 2.972587850000001, + 2.2365081166666663, + 2.353935383333333, + 2.6080259666666668, + 2.657311133333333, + 2.764765983333333, + 2.9725878499999996, 3.0861085666666668, 3.475576766666667, 3.564619733333333, - 3.6962061833333335, + 3.696206183333333, 3.71443675, 3.6862997, - 4.004114850000001, - 4.200859916666667, - 4.097888533333334, + 4.00411485, + 4.2008599166666665, + 4.097888533333333, 4.1088994, 4.354204366666667, 4.11765205, 4.261996600000001, 4.697782966666667, - 4.980785316666667, - 4.967763483333333, - 4.878357883333334, - 5.269293100000001, - 5.395967516666668, - 5.492592816666668, + 4.980785316666666, + 4.967763483333332, + 4.878357883333333, + 5.2692931, + 5.395967516666666, + 5.492592816666667, 4.998290616666667, - 5.37081395, - 5.4835105, + 5.3708139500000005, + 5.4835104999999995, 5.736529666666667, - 6.036345016666668, + 6.036345016666667, 5.986845566666666, - 6.952323850000001, - 7.208244083333334, - 7.004477116666668, - 6.851709583333334, - 6.775853283333334, + 6.95232385, + 7.208244083333333, + 7.004477116666666, + 6.851709583333333, + 6.775853283333333, 6.5934981666666665, - 6.908890266666667, - 6.224353916666668, - 6.740315216666667, - 6.268908366666667, - 5.76255685, - 7.233381166666667, + 6.908890266666666, + 6.224353916666667, + 6.740315216666666, + 6.2689083666666665, + 5.762556849999999, + 7.233381166666666, 5.6498438166666665, - 3.6257399333333344, - 3.35206715, + 3.6257399333333336, + 3.3520671499999994, 3.38984695, 3.4092643166666665, 3.9045884833333333, 5.2704799, 6.069591900000001, - 5.565201900000001, + 5.5652019, 5.251458133333333, - 6.086141166666668, - 6.189705950000001, - 6.713760566666667, + 6.086141166666667, + 6.18970595, + 6.713760566666666, 5.162349233333333, - 6.076894016666668, - 4.831396866666667, + 6.0768940166666665, + 4.831396866666666, 6.763309466666667, - 7.311330850000002, + 7.311330850000001, 6.527432966666667, - 6.173321516666667, - 6.080141233333334, + 6.173321516666666, + 6.080141233333333, 6.1045036, - 5.228430916666667, - 4.962472333333334, + 5.2284309166666665, + 4.962472333333333, 4.531317783333334, 4.348814316666666, - 4.0805151, - 3.800545683333334, + 4.0805150999999995, + 3.800545683333333, 3.38223165, 3.0427738833333335, 2.896797483333333, - 2.6559265333333335, - 2.502697466666667, + 2.655926533333333, + 2.5026974666666666, 2.4195884999999997, 2.3578419333333334, - 2.310287516666667, + 2.3102875166666665, 2.26891435, - 2.2317774000000004, + 2.2317773999999995, 2.2036898000000003, - 2.159613366666667, - 2.100421716666667, + 2.1596133666666666, + 2.1004217166666668, 2.0649001333333334, 2.018186366666667, - 1.9847911333333335, - 1.9698902, - 1.9626869833333336, - 1.9486431833333333, - 1.9363960666666669, - 1.9576760500000003, - 1.9362971666666668, - 1.9215775500000003, - 1.957511216666667, - 1.9811812833333333, + 1.9847911333333332, + 1.9698901999999998, + 1.9626869833333334, + 1.948643183333333, + 1.9363960666666666, + 1.95767605, + 1.9362971666666666, + 1.9215775499999999, + 1.9575112166666668, + 1.981181283333333, 2.006615066666667, - 2.0186149333333336, - 2.0230984000000003, - 2.034257616666667, + 2.018614933333333, + 2.0230984, + 2.0342576166666664, 2.02225775, - 1.9736154333333333, + 1.9736154333333331, 1.9182973666666667, 1.8774022166666668, - 1.8413696500000003, - 1.8348917000000002, - 1.8161501500000001, - 1.8021228333333335, - 1.780232966666667, + 1.84136965, + 1.8348917, + 1.81615015, + 1.8021228333333332, + 1.7802329666666665, 1.7724693166666667, - 1.766139716666667, - 1.76798585, - 1.7623650333333332, - 1.76046945, - 1.7708704333333334, - 1.7784692500000001, - 1.787254866666667, - 1.7850955500000005, - 1.7944910500000004, - 1.8086996833333335, - 1.8235676500000002, - 1.815836966666667, - 1.8063096, - 1.77263415, - 1.7636012833333334, - 1.7971778333333335, - 1.7844856666666669, - 1.7808923000000003, - 1.7555079666666669, - 1.728112666666667, - 1.7464091666666668, + 1.7661397166666666, + 1.7679858499999999, + 1.7623650333333334, + 1.7604694499999998, + 1.7708704333333332, + 1.77846925, + 1.7872548666666666, + 1.78509555, + 1.7944910500000002, + 1.8086996833333333, + 1.82356765, + 1.8158369666666667, + 1.8063095999999998, + 1.7726341499999998, + 1.7636012833333332, + 1.7971778333333333, + 1.7844856666666666, + 1.7808922999999999, + 1.7555079666666666, + 1.7281126666666669, + 1.7464091666666666, 1.7866779499999998, - 1.8018261333333336, - 1.755013466666667, - 1.7559695000000002, - 1.7370466333333334, - 1.62913025, - 1.5291753166666668, - 1.4675441333333337, - 1.4184732500000004, - 1.3853912, - 1.3157491166666668, - 1.2557827500000003, - 1.1965911, - 1.1043174000000002, - 1.0751254166666666, - 1.1067734166666667, - 1.0879494500000002, - 1.1070701166666668, - 1.12286115, - 1.1003778833333335, + 1.8018261333333332, + 1.7550134666666664, + 1.7559695, + 1.7370466333333332, + 1.6291302499999998, + 1.5291753166666666, + 1.4675441333333332, + 1.41847325, + 1.3853912000000002, + 1.3157491166666666, + 1.2557827499999998, + 1.1965910999999998, + 1.1043173999999998, + 1.0751254166666664, + 1.1067734166666665, + 1.08794945, + 1.1070701166666665, + 1.1228611499999999, + 1.1003778833333333, 1.06421345, - 1.0783067000000002, + 1.0783067, 1.1271468166666667, 1.1487399833333334, - 1.15233335, + 1.1523333500000001, 1.1643826666666666, - 1.183964866666667, - 1.2399257833333335, - 1.2893263333333334, - 1.4311654166666667, - 1.6019162666666669, - 1.7146622666666669, - 1.8264192666666668, + 1.1839648666666667, + 1.2399257833333333, + 1.2893263333333331, + 1.4311654166666665, + 1.6019162666666666, + 1.7146622666666664, + 1.8264192666666665, 1.8407597666666666, 1.7572552, 1.5393949833333336, - 1.2560300000000002, + 1.25603, 0.9737034666666667, - 0.8436994166666668, - 0.7832220666666668, - 0.7389808000000001, - 0.6943439333333332, + 0.8436994166666667, + 0.7832220666666667, + 0.7389808, + 0.6943439333333334, 0.6320863833333334, - 0.5725156166666668, + 0.5725156166666666, 0.5404885, 0.5012087166666667, - 0.4632311166666668, - 0.4366105333333334, - 0.41312178333333344, + 0.4632311166666667, + 0.43661053333333333, + 0.4131217833333333, 0.38903963333333336, - 0.3666387833333334, + 0.36663878333333333, 0.3452763833333333, 0.3216557666666667, - 0.2926780666666667, + 0.2926780666666666, 0.2654476, - 0.2470851666666667, - 0.23419520000000002, - 0.22400850000000003, + 0.24708516666666666, + 0.2341952, + 0.2240085, 0.21542068333333336, - 0.2081680166666667, + 0.20816801666666665, 0.19977799999999998, - 0.19081106666666664, - 0.17673430000000004, - 0.16081140000000002, - 0.14015778333333334, - 0.11549871666666668, - 0.09332863333333336, + 0.19081106666666667, + 0.1767343, + 0.1608114, + 0.1401577833333333, + 0.11549871666666665, + 0.09332863333333334, null, null, null, @@ -42120,10 +42059,10 @@ 0.5866908666666666, 0.6475846, 0.7035054, - 0.7506494666666668, - 0.7355001333333334, + 0.7506494666666667, + 0.7355001333333333, 0.6871869333333332, - 0.6582385333333334, + 0.6582385333333333, 0.5419179999999999, 0.23226233333333335, null, @@ -42137,16 +42076,16 @@ null, 0.1199926, 0.13912686666666665, - 0.15350226666666666, + 0.15350226666666664, 0.16094519999999998, 0.16552293333333334, 0.1781528666666667, 0.19521233333333332, 0.21176133333333333, - 0.22949593333333335, - 0.2705308666666667, + 0.22949593333333332, + 0.27053086666666665, 0.2978161333333333, - 0.2860918666666667, + 0.28609186666666664, 0.32498613333333337, 0.3228619333333333, 0.3307165333333333, @@ -42154,11 +42093,11 @@ 0.37567053333333333, 0.38220779999999993, 0.3810386666666667, - 0.3908857333333334, - 0.4097235999999999, - 0.43888606666666674, + 0.3908857333333333, + 0.40972359999999997, + 0.4388860666666667, 0.4728074, - 0.5007019333333332, + 0.5007019333333333, 0.5143527999999999, 0.5189964, 0.5375543333333334, @@ -42173,9 +42112,9 @@ 0.7859539999999999, 0.8531874, 1.0618200666666668, - 0.9606159333333333, + 0.9606159333333334, 1.6870923333333332, - 1.4584032666666669, + 1.4584032666666666, 1.2409115333333331, 1.0919705333333334, 1.0910813333333333, @@ -42186,29 +42125,29 @@ 1.0155981333333333, 1.0378281333333335, 1.0394089333333334, - 1.0140008666666664, + 1.0140008666666667, 1.0111027333333333, 1.0867176666666667, 1.2239344, - 1.2629604, + 1.2629603999999999, 1.2977874, - 1.3241176, + 1.3241176000000001, 1.4456086666666665, 1.4978409333333333, 1.4816377333333333, - 1.5038348000000001, - 1.5072598666666663, - 1.5629830666666666, - 1.6171419333333334, + 1.5038348, + 1.5072598666666666, + 1.5629830666666669, + 1.6171419333333332, 1.6637755333333333, 1.753831733333333, 1.8182658, 1.9584465333333332, 2.1325156666666665, 2.2896735333333336, - 2.5516088, - 2.9474674666666663, - 3.3458784666666666, + 2.5516087999999995, + 2.9474674666666667, + 3.345878466666667, 3.757446333333333, 3.658646333333333, 4.0132066, @@ -42218,10 +42157,10 @@ 4.0609269999999995, 3.179548666666667, 2.6743183999999998, - 3.7837271333333327, + 3.783727133333333, 6.873153733333333, - 5.769854133333332, - 3.1666882000000007, + 5.769854133333334, + 3.1666882000000003, 3.2132229999999997, 3.7114714, 5.670856533333334, @@ -42229,8 +42168,8 @@ 5.012288666666667, 4.407846733333333, 4.0575019333333335, - 3.9624233999999996, - 3.908346866666667, + 3.9624234, + 3.9083468666666668, 3.7925203333333335, 3.7444047333333335, 3.5853532, @@ -42249,38 +42188,38 @@ 2.1821462, 2.1897702666666663, 2.1404525999999997, - 2.0987919333333336, + 2.098791933333333, 2.1044564666666665, 2.0899658, 2.062367666666667, 2.0211186666666663, 1.9760823333333333, 1.9331866666666668, - 1.9098369333333336, + 1.9098369333333334, 1.9288230000000002, - 1.9173292666666668, + 1.9173292666666666, 1.8593336666666669, - 1.8359674666666668, + 1.8359674666666665, 1.8404958, 1.889303, 1.8884961333333334, 1.8963672, - 1.8947040666666664, + 1.8947040666666666, 1.8831444666666668, 1.8921188, - 1.9068235333333332, - 1.8756850666666665, + 1.9068235333333334, + 1.8756850666666667, 1.8631868666666667, - 1.9175598, - 1.9613776, - 1.9505919333333332, - 1.9083878666666665, + 1.9175597999999998, + 1.9613775999999998, + 1.950591933333333, + 1.9083878666666667, 1.8518742666666668, - 1.8270096000000002, + 1.8270096, 1.7845914666666667, - 1.7645186000000002, + 1.7645186, 1.765934733333333, - 1.7730153999999998, + 1.7730154, 1.7673508666666666, 1.7344504666666667, 1.7338576666666665, @@ -42290,7 +42229,7 @@ 1.9064942, 1.9100180666666666, 1.9542804666666667, - 2.040236466666667, + 2.0402364666666664, 2.1321534, 2.157281533333333, 2.1270157999999997, @@ -42317,21 +42256,21 @@ 2.465916266666667, 2.4361774666666665, 2.4081841333333336, - 2.438499266666667, + 2.4384992666666667, 2.407509, 2.339649866666667, 2.318852466666667, 2.3668034000000002, 2.3936440666666665, - 2.399176866666666, + 2.3991768666666666, 2.465932733333333, - 2.487899266666667, + 2.4878992666666666, 2.4954904, 2.4642037333333335, - 2.4538956000000005, - 2.458868533333333, - 2.463199266666667, - 2.466015066666666, + 2.4538956, + 2.4588685333333333, + 2.4631992666666664, + 2.4660150666666665, 2.4551964666666666, 2.4138157333333328, 2.3432725333333333, @@ -42343,8 +42282,8 @@ 1.9423092, 1.8931562, 1.8813166666666667, - 1.8450570666666664, - 1.8453040666666665, + 1.8450570666666666, + 1.8453040666666667, 1.902147, 1.9534736, 2.0234898666666665, @@ -42361,17 +42300,17 @@ 2.1041765333333333, 2.104571733333333, 2.0935555333333333, - 2.112475733333333, + 2.1124757333333335, 2.173353, - 2.2071590666666667, + 2.207159066666667, 2.1986128666666667, 2.1692692666666664, - 2.165020866666666, + 2.1650208666666666, 2.2085916666666665, 2.2568225333333336, 2.300541533333333, 2.3293911333333335, - 2.3347757333333328, + 2.334775733333333, 2.3580596, 2.3789393333333333, 2.370212, @@ -42382,27 +42321,27 @@ 2.2599018, 2.250894533333333, 2.2382316666666666, - 2.2638043999999997, + 2.2638044, 2.2880762666666663, 2.3332607999999997, 2.3673468, - 2.4019432666666667, + 2.4019432666666662, 2.4206494, - 2.465537533333333, + 2.4655375333333334, 2.5506866666666665, 2.584789133333333, - 2.6823706, - 2.7462612666666666, + 2.6823705999999996, + 2.746261266666666, 2.798938133333333, 2.867917, 2.9249245999999998, 2.9622874666666665, 3.0836467999999995, - 3.1337877999999995, - 3.027742466666666, + 3.1337878, + 3.0277424666666666, 2.903238, - 3.019212733333333, - 3.1004922, + 3.0192127333333336, + 3.1004921999999997, 3.1242865333333336, 3.1124305333333333, 3.1602168, @@ -42416,36 +42355,36 @@ 3.372570933333334, 3.4764756, 3.5898486, - 3.6420479333333335, - 3.6567362, + 3.642047933333333, + 3.6567361999999997, 3.6323490666666665, 3.5169012666666664, - 3.416965066666666, - 3.2568432, + 3.4169650666666667, + 3.2568431999999996, 3.103439733333333, 3.0312663333333334, 3.0272813999999997, 2.9671616, - 2.829697866666667, - 2.710462733333333, + 2.8296978666666663, + 2.7104627333333333, 2.7073999333333334, - 2.7364636000000004, + 2.7364636, 2.8126713333333333, 2.9044894666666665, 2.9365335999999997, 2.9689564666666666, - 3.0442585333333336, + 3.044258533333333, 3.1699979999999996, - 3.3618840666666663, - 3.3176710666666662, - 3.185740133333333, + 3.3618840666666667, + 3.317671066666667, + 3.1857401333333333, 3.107276466666667, - 2.9685447999999997, + 2.9685448, 2.764950933333333, 2.6175083999999997, 2.522742733333333, 2.4472430666666667, - 2.4152648000000005, + 2.4152648, 2.3891980666666663, 2.4015480666666664, 2.462326533333333, @@ -42462,51 +42401,51 @@ 2.4722888666666667, 2.451458533333333, 2.4904022, - 2.5148387333333333, + 2.5148387333333337, 2.5078074666666668, 2.515019866666667, - 2.5347469333333335, + 2.534746933333333, 2.5467017333333333, - 2.6001196, + 2.6001195999999998, 2.6531422666666664, 2.6340738666666668, - 2.4999363999999993, + 2.4999364, 2.330280333333333, 2.2011157999999997, 2.184056333333333, 2.3617316666666666, - 2.589515066666666, - 2.748434866666667, + 2.5895150666666664, + 2.7484348666666665, 3.012296733333333, 3.2827452666666668, 3.3520040666666664, - 3.4287552, + 3.4287551999999994, 3.3097999999999996, 3.046728533333333, 3.022324933333333, 3.0066486666666665, - 2.9813229333333333, + 2.981322933333333, 3.0054795333333337, 3.108742, 3.201745733333333, 3.148476066666667, - 3.075084133333333, - 3.0175002, - 2.983644733333333, + 3.0750841333333336, + 3.0175001999999997, + 2.9836447333333336, 2.9030568666666667, 2.827326666666666, 2.778371266666667, 2.7990039999999996, 2.8744213333333333, - 2.8158164666666665, + 2.815816466666667, 2.7076963333333333, 2.6100489999999996, 2.5709406666666665, 2.521507733333333, - 2.4785791333333336, + 2.478579133333333, 2.2861990666666667, 2.1199680666666665, - 2.0035651999999997, + 2.0035652, 2.0497047999999998, 2.0826875333333335, 2.032316, @@ -42518,16 +42457,16 @@ 1.7822531999999998, 1.8069532, 1.8775458, - 1.9853366000000001, + 1.9853366, 2.083692, 2.1135789999999997, 2.0531463333333333, 1.9416176, 1.8140009333333333, - 1.8807732666666668, + 1.8807732666666666, 1.9388676666666667, - 1.9282301999999998, - 1.9781241999999999, + 1.9282302, + 1.9781242, 1.9972255333333333, 1.9382254666666665, 1.8507874666666666, @@ -42537,9 +42476,9 @@ 1.7647326666666667, 1.7242575999999998, 1.7087789333333332, - 1.7668568666666664, + 1.7668568666666669, 1.8503428666666666, - 1.9208860666666663, + 1.9208860666666665, 1.8647182666666668, 1.7457136666666666, 1.6934978666666665, @@ -42551,7 +42490,7 @@ 1.5055143999999998, 1.4644136, 1.4157216666666665, - 1.3284318666666666, + 1.3284318666666668, 1.3061359999999997, 1.2617254, 1.1869996666666665, @@ -42562,8 +42501,8 @@ 1.2883025999999997, 1.2832802666666665, 1.2361362, - 1.2063644666666669, - 1.1806270666666667, + 1.2063644666666666, + 1.1806270666666665, 1.2846964, 1.4134657333333331, 1.5091370666666666, @@ -42575,11 +42514,11 @@ 1.4880103333333332, 1.2086368666666667, 1.0010580666666666, - 1.079175933333333, + 1.0791759333333333, 1.1429678, 1.2338473333333335, 1.426161533333333, - 1.6108846, + 1.6108845999999999, 1.6280593333333333, 1.5026821333333333, 1.4128894, @@ -42589,26 +42528,26 @@ 1.444703, 1.3598996666666665, 1.3386247333333334, - 1.2263385333333332, + 1.2263385333333334, 1.1405471999999999, 1.1797213999999998, 1.1800507333333332, 1.1386370666666668, - 1.0030834666666668, - 0.9055184666666668, + 1.0030834666666666, + 0.9055184666666667, 0.9729988666666666, 0.9881152666666666, - 0.9205854666666667, - 0.8741494666666668, - 0.9207501333333334, + 0.9205854666666666, + 0.8741494666666667, + 0.9207501333333333, 0.958113, 0.9251467333333333, 0.8191508, 0.7362740666666667, 0.7468127333333334, - 0.7226890666666667, - 0.7400614000000001, - 0.7453801333333334, + 0.7226890666666665, + 0.7400614, + 0.7453801333333333, 0.7743944, 0.8030958, 0.7764527333333333, @@ -42625,7 +42564,7 @@ 0.49215573333333335, 0.4661878, 0.36266186666666667, - 0.4065949333333333, + 0.40659493333333335, 0.41249, 0.3940802666666666, 0.37846986666666665, @@ -42637,11 +42576,11 @@ 0.30211393333333336, 0.3023938666666667, 0.31123646666666666, - 0.3158636, - 0.29751973333333326, + 0.31586359999999997, + 0.2975197333333333, 0.26351606666666666, - 0.2321141333333333, - 0.22840913333333332, + 0.23211413333333333, + 0.22840913333333335, 0.2213614, 0.20456539999999998, 0.186238, @@ -43543,22 +43482,22 @@ 0.366177, 0.4690553, 0.48769314999999996, - 0.4969216, + 0.4969215999999999, 0.52858785, - 0.63169645, + 0.6316964500000001, 0.73746995, 0.8200160499999999, 0.8776897499999999, - 0.8958999, + 0.8958999000000001, 0.9868355, 1.0998799, 1.21751385, 1.3393261, 1.41698655, 1.4852705, - 1.5977720499999999, + 1.59777205, 1.73430705, - 1.8973923499999998, + 1.89739235, 2.00872595, 2.0007477000000002, 2.2752159499999998, @@ -43570,12 +43509,12 @@ 2.9031453500000004, 3.0449279, 3.2106780999999995, - 3.3696015500000005, + 3.36960155, 3.5138022499999995, - 3.5958713, - 3.6925973000000005, - 3.7928600500000003, - 3.89238255, + 3.5958712999999998, + 3.6925972999999996, + 3.79286005, + 3.8923825499999998, 3.9620154, 4.05668515, 4.11156235, @@ -43586,51 +43525,51 @@ 4.60417405, 4.6866708, 4.778823699999999, - 4.85605645, + 4.8560564500000005, 4.943965250000001, - 5.0361017, + 5.036101700000001, 5.11955255, 5.16692855, 5.2914715, 5.358274949999999, - 5.451332600000001, + 5.4513326, 5.53511245, - 5.6040050500000005, - 5.635292949999999, + 5.60400505, + 5.63529295, 5.75481865, 5.830965699999999, 5.9198615, 6.0136265, 6.09191205, - 6.1767776, + 6.176777599999999, 6.24917405, 6.32405445, - 6.411173649999999, - 6.501089350000001, - 6.489640149999999, + 6.41117365, + 6.50108935, + 6.48964015, 6.581348899999999, - 6.7289053999999995, + 6.7289054, 6.7737152, 6.5969764, - 6.241903149999999, - 6.069030100000001, + 6.24190315, + 6.069030099999999, 5.091636899999999, 5.2124292500000005, 6.415072299999999, 6.899343849999999, - 5.846790600000001, + 5.8467906, 6.6433653999999995, - 6.81840985, + 6.818409849999999, 6.34517625, 5.2781141, 6.941242, 6.24187025, - 5.864309850000001, + 5.86430985, 4.3039615499999995, - 6.837146399999999, + 6.8371464, 4.49080065, - 4.360960800000001, - 3.2169126500000003, + 4.3609608, + 3.21691265, 7.3605525, 6.80890175, 5.845211399999999, @@ -43641,18 +43580,18 @@ 3.36519295, 3.2380509, 5.1644445999999995, - 6.6356997, + 6.635699700000001, 6.76323655, 7.36491175, 7.30579045, - 7.158842600000001, + 7.1588426, 7.13576325, 7.1164016000000005, 7.04584755, 6.968943799999999, - 6.873698300000001, + 6.8736983, 6.71655145, - 6.620105100000001, + 6.6201051, 6.574752449999999, 6.5450273, 6.5168649, @@ -43662,11 +43601,11 @@ 4.0860484, 3.6140649999999996, 3.6327192999999998, - 3.8299383499999995, + 3.82993835, 4.5940573, 5.42210095, 5.658174900000001, - 5.633993399999999, + 5.6339934, 5.5470222499999995, 5.4599195, 5.3792816, @@ -43681,24 +43620,24 @@ 4.584763049999999, 4.5042896500000005, 4.401592300000001, - 4.296953849999999, + 4.2969538499999995, 4.01184245, 3.21069455, 1.9953192000000002, 0.9378145, 0.31388245000000004, - 0.2438548, + 0.24385479999999998, 0.2352021, 0.2275364, - 0.2202984, + 0.22029839999999998, 0.20957299999999998, 0.1941429, 0.17807125, 0.1632498, 0.14987594999999998, 0.1366666, - 0.12400009999999999, - 0.11052754999999999, + 0.1240001, + 0.11052755, 0.09957185, 0.09078755, 0.08325344999999999, @@ -44602,9 +44541,9 @@ 0.8684852333333333, 0.9351059666666667, 1.0046189666666667, - 1.0934247, + 1.0934247000000001, 1.1434970666666666, - 1.2813727333333333, + 1.2813727333333336, 1.3423568333333333, 1.3754207, 1.4746616000000001, @@ -44618,102 +44557,102 @@ 2.6828402666666666, 2.8454809666666665, 2.9667589666666663, - 3.0674624333333327, + 3.067462433333333, 3.2028237999999996, 3.284234533333333, - 3.4089799666666663, + 3.4089799666666667, 3.4608106999999997, - 3.592310233333334, + 3.592310233333333, 3.7506454, 3.9059239666666663, - 4.031704700000001, + 4.0317047, 4.123320533333334, 4.2212632, 4.313667833333333, 4.388998233333334, - 4.460483233333334, + 4.460483233333333, 4.5426992, 4.650879833333333, 4.717993566666666, - 4.8269137, + 4.826913699999999, 4.927715766666666, 5.014779566666666, - 5.104867099999999, + 5.1048671, 5.177486, 5.2536052, - 5.348672033333334, + 5.348672033333333, 5.4258758333333335, - 5.509061366666667, - 5.596568866666665, + 5.509061366666668, + 5.596568866666667, 5.690666133333334, - 5.760754300000001, - 5.8458625333333325, + 5.7607543, + 5.845862533333333, 5.915671333333334, - 5.981930533333332, - 6.092839099999999, + 5.981930533333333, + 6.092839100000001, 6.154792766666667, 6.243516333333333, 6.326981233333333, 6.396954366666666, - 6.4471582, + 6.4471582000000005, 6.538642566666667, - 6.632690533333332, - 6.7100258, + 6.632690533333333, + 6.7100257999999995, 6.767821833333333, 6.830745066666666, 6.8947036, 6.9771825, 13.5766284, 13.593817666666666, - 13.595083033333331, + 13.595083033333333, 13.613669133333334, - 13.624778066666666, + 13.624778066666668, 13.633586333333334, 13.603644799999998, 13.606997199999999, 13.6001445, 13.590695333333331, - 13.5980739, + 13.598073900000001, 13.633668499999999, 13.616314899999999, 13.5608031, 13.604203533333333, - 13.625977699999998, - 13.634030033333332, - 13.590810366666664, - 13.639272266666667, - 13.608788433333334, + 13.6259777, + 13.634030033333334, + 13.590810366666666, + 13.639272266666666, + 13.608788433333332, 13.5993064, 13.601738533333334, 13.559636333333332, - 13.563514600000001, + 13.5635146, 13.5647471, 13.5668177, - 13.565355133333334, - 13.566406866666664, - 13.561969866666665, + 13.565355133333332, + 13.566406866666666, + 13.561969866666667, 13.588969833333332, - 13.600916866666665, + 13.600916866666667, 13.610908333333333, 13.608854166666667, - 13.589758633333334, + 13.589758633333332, 13.553523133333334, 13.585601, 13.564139066666666, 13.583645433333333, 13.602938166666666, 13.594721499999999, - 13.600292399999999, + 13.6002924, 13.593751933333333, 13.596562033333331, - 13.569972899999998, - 7.2305351999999985, + 13.569972900000002, + 7.230535199999999, 7.162090366666666, 7.0816985, 7.011183066666666, 6.925663999999999, 6.8594541, - 6.787739033333332, + 6.787739033333334, 6.7115212333333325, 6.6371604, 6.567565233333333, @@ -44722,15 +44661,15 @@ 6.367752333333333, 6.285667833333333, 6.222859633333333, - 6.163666766666666, - 6.080037533333332, + 6.163666766666667, + 6.080037533333334, 5.9843791, 5.922918433333333, 5.8177943999999995, - 5.7610500999999985, + 5.7610501, 5.6615134000000005, - 5.5758135666666675, - 5.5278118, + 5.575813566666667, + 5.527811799999999, 5.456655466666667, 5.383379233333333, 5.280062866666667, @@ -44742,17 +44681,17 @@ 4.8136684333333335, 4.743514533333332, 4.6641086666666665, - 4.5904544666666665, + 4.590454466666667, 4.494845333333333, - 4.402259933333332, + 4.402259933333333, 4.129581633333333, - 3.2142614000000003, - 1.8590865666666665, - 0.7427373666666666, + 3.2142614, + 1.8590865666666667, + 0.7427373666666667, 0.27713173333333335, 0.25913723333333333, - 0.2499345666666667, - 0.24068259999999997, + 0.24993456666666666, + 0.2406826, 0.22349333333333332, 0.20577820000000002, 0.1912347, @@ -44765,12 +44704,12 @@ 0.09999683333333334, 0.09079416666666668, 0.08377713333333332, - 0.07680939999999999, + 0.0768094, 0.07054830000000001, 0.06415573333333333, - 0.05796036666666666, + 0.05796036666666667, 0.05183073333333333, - 0.0461448, + 0.04614479999999999, 0.040327400000000006, 0.034871533333333336, 0.024830766666666663, @@ -45651,12 +45590,12 @@ null, null, null, - 0.2658843333333333, + 0.26588433333333333, 0.3887466666666667, - 0.46217841666666665, + 0.4621784166666666, 0.5259735833333333, 0.5913775833333333, - 0.6618871666666667, + 0.6618871666666666, 0.7341205000000001, 0.7981947500000001, 0.8499729166666666, @@ -45665,11 +45604,11 @@ 1.1774361666666666, 1.2144393333333334, 1.3318513333333333, - 1.3739436666666667, + 1.3739436666666665, 1.5176715833333332, 1.6619905, - 1.777416083333333, - 1.8124492499999998, + 1.7774160833333332, + 1.81244925, 1.9487896666666666, 2.1172903333333335, 2.2407600833333334, @@ -45684,12 +45623,12 @@ 3.4800214166666663, 3.681650916666667, 3.7697920000000003, - 3.820880666666667, + 3.8208806666666666, 3.9854741666666667, - 4.081725083333333, + 4.081725083333334, 4.17349425, 4.254838833333333, - 4.3295510833333335, + 4.329551083333333, 4.440642666666666, 4.527831583333334, 4.61571, @@ -45702,45 +45641,45 @@ 5.232533416666667, 5.310906583333334, 5.392563083333333, - 5.486466416666666, + 5.4864664166666675, 5.559323583333334, 5.649631666666666, 5.7197965, - 5.764515500000001, + 5.7645155, 5.848749416666666, 5.956557666666667, - 6.045568833333334, + 6.045568833333333, 6.140572083333334, - 6.218616916666667, + 6.218616916666666, 6.297531833333333, 6.360555416666667, 6.446857833333333, - 6.5018865, + 6.5018864999999995, 6.572921416666666, 6.654233166666667, 6.731293, 6.789637833333333, 6.855468666666666, 7.224745166666667, - 7.172901333333334, + 7.172901333333333, 7.0853348333333335, 7.0163519999999995, 6.950767416666666, - 6.879913083333332, - 6.802360749999999, + 6.879913083333333, + 6.802360750000001, 6.743244333333333, 6.679120833333333, 6.6131915, - 6.538807583333335, + 6.538807583333334, 6.479412083333333, 6.399085333333333, 6.306593833333333, 6.244489583333333, 6.186867083333333, - 6.096476916666667, - 6.030941583333332, - 5.959036583333332, - 5.875886166666666, + 6.096476916666666, + 6.030941583333333, + 5.959036583333333, + 5.875886166666667, 5.790814999999999, 5.680905416666667, 5.579696666666666, @@ -45757,32 +45696,32 @@ 4.731660916666667, 4.5214126666666665, 3.7588420833333336, - 2.5770719166666667, + 2.577071916666667, 1.1438476666666666, 0.3775833333333333, 0.22986616666666668, - 0.22001616666666668, - 0.2136793333333333, - 0.20355025000000002, - 0.1900393333333333, + 0.22001616666666665, + 0.21367933333333333, + 0.20355024999999996, + 0.19003933333333334, 0.17393458333333334, 0.15906108333333335, 0.14497558333333332, - 0.1323511666666667, + 0.13235116666666666, 0.12138483333333333, 0.11117366666666667, 0.10015808333333333, - 0.09106325, + 0.09106324999999998, 0.083528, 0.07748666666666666, 0.07177366666666667, 0.06645466666666666, - 0.0611685, - 0.05529133333333334, - 0.05002158333333333, - 0.04475183333333334, + 0.061168499999999994, + 0.05529133333333333, + 0.050021583333333335, + 0.04475183333333333, 0.039153749999999994, - 0.03432725, + 0.034327250000000004, 0.026053249999999997, 0.022474416666666667, 0.016695750000000002, @@ -46659,209 +46598,209 @@ null, null, null, - 0.21083840000000004, - 0.35717560000000004, - 0.4238416000000001, + 0.2108384, + 0.3571756, + 0.42384160000000004, 0.4853908, - 0.5450212000000002, + 0.5450211999999999, 0.6095552, - 0.6712192000000001, + 0.6712191999999999, 0.7321288, - 0.7887580000000001, - 0.8544400000000001, - 0.9538732000000002, - 1.0726748000000002, + 0.788758, + 0.85444, + 0.9538732, + 1.0726747999999997, 1.163662, - 1.2845136000000001, + 1.2845136, 1.40835, - 1.4893004000000003, - 1.6069868000000003, - 1.6695200000000001, - 1.827042, - 1.9909764000000003, + 1.4893004, + 1.6069867999999998, + 1.66952, + 1.8270419999999998, + 1.9909763999999999, 2.1430044, - 2.3103664000000004, - 2.4751700000000003, - 2.6105028000000003, - 2.7241548000000004, - 2.8743624000000003, + 2.3103664, + 2.47517, + 2.6105028, + 2.7241548, + 2.8743624, 3.0323436, - 3.1611492, + 3.1611491999999997, 3.2578436, - 3.3361536000000007, - 3.4512980000000004, - 3.5484188000000008, - 3.6445556000000003, - 3.7437100000000005, - 3.8407488000000005, + 3.3361536, + 3.451298, + 3.5484188, + 3.6445556, + 3.74371, + 3.8407488, 3.9417071999999997, - 4.031185600000001, + 4.0311856, 4.13239, - 4.2271984, + 4.227198399999999, 4.3106252000000005, - 4.398775200000001, - 4.488844, - 4.5994948, + 4.3987752, + 4.488843999999999, + 4.5994947999999996, 4.695648, - 4.758476400000001, - 4.8547608, - 4.963574800000001, + 4.758476399999999, + 4.854760799999999, + 4.9635748, 5.0440988, - 5.1153732000000005, - 5.206524400000001, - 5.2984628, - 5.362718000000001, - 5.4622660000000005, - 5.485849200000001, + 5.1153732, + 5.206524399999999, + 5.298462799999999, + 5.362718, + 5.462266, + 5.4858492, 5.5830684, - 5.671021600000001, + 5.6710215999999996, 5.763763600000001, 5.8689368, 5.9508548, - 6.021473200000001, - 6.106359600000001, - 6.202726, - 6.276558800000001, - 6.3629704, - 6.4411164, - 6.510455600000001, + 6.0214732, + 6.1063596, + 6.202725999999999, + 6.2765588, + 6.362970399999999, + 6.441116399999999, + 6.510455599999999, 6.596162, - 6.6589904, + 6.6589903999999995, 6.7374643999999995, - 6.811641600000001, - 13.9780152, - 13.991135200000002, - 13.995350000000002, - 13.992119200000001, - 14.0031728, - 14.019884400000002, + 6.8116416, + 13.978015199999998, + 13.9911352, + 13.99535, + 13.9921192, + 14.003172799999998, + 14.019884399999999, 14.052487600000001, - 14.041696400000003, - 14.049420800000002, - 14.040089200000002, - 14.033988400000004, + 14.041696400000001, + 14.0494208, + 14.040089199999999, + 14.0339884, 14.056932, - 14.0450748, - 14.059769200000002, + 14.045074800000002, + 14.0597692, 14.0479776, 14.041745599999999, 14.0597036, - 14.059441200000002, - 14.055128000000002, - 14.026559200000003, - 14.005944400000002, - 14.002549600000002, + 14.0594412, + 14.055128, + 14.026559200000001, + 14.005944399999999, + 14.0025496, 14.003074400000001, - 13.998023200000002, - 14.005075200000002, + 13.9980232, + 14.005075199999999, 14.014702, - 13.9912828, + 13.991282799999999, 13.9739972, - 13.978999200000002, - 14.013455599999999, - 14.019982800000001, + 13.9789992, + 14.0134556, + 14.0199828, 14.001893599999999, 13.9960552, - 14.006666000000003, - 13.977851200000002, - 13.997170400000002, - 14.020294400000003, - 14.028166400000003, - 14.026132800000001, + 14.006666000000001, + 13.9778512, + 13.997170399999998, + 14.020294399999997, + 14.0281664, + 14.0261328, 14.0015656, 13.9796716, 14.009536, 14.005518, - 13.99371, + 13.993709999999998, 13.9889376, - 13.993398400000002, - 7.0410776, + 13.993398399999998, + 7.0410775999999995, 6.353524, - 4.9313488, - 2.6689032000000004, + 4.931348799999999, + 2.6689032, 1.5322684, - 1.3372232000000002, + 1.3372232, 1.3803224, - 1.6488068000000002, - 2.1539596000000003, - 2.5252556, + 1.6488068, + 2.1539596, + 2.5252556000000004, 2.3899064, 2.3286032, - 2.8798564000000004, + 2.8798564, 4.1155472, - 6.170746, - 7.212178800000001, + 6.170745999999999, + 7.2121788, 7.205422, - 7.082389200000001, - 7.012902400000001, - 6.9417100000000005, - 6.851690400000001, - 6.758604000000001, - 6.680048, - 6.605903600000001, + 7.0823892, + 7.0129024, + 6.94171, + 6.8516904, + 6.758603999999999, + 6.680047999999999, + 6.605903599999999, 6.5294304, 6.4616328, 6.362314400000001, 6.2999616000000005, - 6.221635200000001, - 6.138438000000001, - 6.029771600000001, + 6.2216352, + 6.138438, + 6.0297716, 5.893504, - 5.8307248000000005, - 5.7946448, + 5.8307248, + 5.7946447999999995, 5.7007548, - 5.6042900000000015, + 5.604290000000001, 5.5338848, - 5.4703184, - 5.379085200000001, + 5.470318399999999, + 5.3790852000000005, 5.287425600000001, - 5.192223600000001, + 5.1922236, 5.1040244, - 5.022664000000001, + 5.022663999999999, 4.9199836, 4.814712, - 4.4063192, - 3.877074800000001, - 2.8585528000000004, + 4.4063191999999995, + 3.8770748000000004, + 2.8585527999999996, 1.6613692, - 0.47438640000000004, + 0.4743864, 0.3480408, - 0.33741360000000004, + 0.3374136, 0.32718, 0.3148308, - 0.29987400000000003, + 0.299874, 0.282736, - 0.26469600000000004, - 0.24608200000000002, - 0.2322404, - 0.21939920000000002, + 0.264696, + 0.246082, + 0.23224039999999999, + 0.2193992, 0.2080832, - 0.19989960000000004, + 0.1998996, 0.1927984, - 0.18659920000000002, - 0.1810724, - 0.1748404, + 0.1865992, + 0.18107240000000002, + 0.17484039999999998, 0.1695432, - 0.16424600000000003, - 0.15957200000000002, + 0.164246, + 0.159572, 0.15447160000000001, 0.1502404, - 0.1457796, - 0.13976080000000002, - 0.13551320000000003, - 0.1322332, - 0.12242600000000001, + 0.14577959999999998, + 0.1397608, + 0.1355132, + 0.13223320000000002, + 0.122426, 0.11525919999999999, - 0.1066656, + 0.10666559999999999, 0.097662, 0.0793924, - 0.05689160000000001, - 0.050692400000000006, - 0.044362000000000006, + 0.056891599999999994, + 0.0506924, + 0.044362, 0.038638399999999996, - 0.03475160000000001, - 0.031045200000000002, - 0.027814400000000003, + 0.0347516, + 0.0310452, + 0.0278144, 0.023140400000000002, 0.0188764, 0.014973199999999999, @@ -47726,9 +47665,9 @@ 0.2785985833333333, 0.3891041666666667, 0.4747234666666666, - 0.5576559000000001, + 0.5576559, 0.6236479666666667, - 0.6847578000000001, + 0.6847578, 0.7537316333333333, 0.8272272666666666, 0.8975773, @@ -47737,70 +47676,70 @@ 1.1279597333333333, 1.1651826666666667, 1.2549305666666666, - 1.3607668999999998, + 1.3607669000000002, 1.5124110333333332, 1.6036334333333333, - 1.6323698, + 1.6323697999999998, 1.7313742833333334, 1.89350375, 2.0667575, 2.1522948833333335, - 2.1699397333333326, + 2.169939733333333, 2.3546454333333333, 2.494296966666667, 2.590811183333333, 2.750171866666667, - 2.880452133333333, + 2.8804521333333333, 3.0782481166666664, 3.202826983333333, 3.3547332499999993, 3.440614683333333, - 3.5268729333333333, + 3.526872933333333, 3.7034197333333334, 3.7847302166666665, 3.986884166666666, 4.203291616666667, - 4.318679433333333, + 4.318679433333332, 4.40841095, - 4.510757633333332, + 4.510757633333333, 4.5932641, - 4.67627845, + 4.676278449999999, 4.7811317833333336, 4.880611383333333, 4.9713095166666665, - 5.074475366666666, + 5.0744753666666655, 5.160749999999999, 5.206819933333334, - 5.295535683333333, + 5.295535683333332, 5.425439133333333, - 5.5036367833333335, + 5.503636783333333, 5.5648285333333325, 5.676743083333333, 5.7378693, - 5.828321683333332, + 5.828321683333333, 5.912744999999999, 5.985306783333333, 6.069599033333333, - 6.153809366666667, - 6.264544316666668, + 6.153809366666666, + 6.264544316666667, 6.3409234166666675, 6.413714566666667, 6.4759057, 6.561443083333333, - 6.6443919000000005, + 6.6443919, 6.715643016666666, 6.806455833333333, 5.63942185, 6.7031916833333325, 6.072056533333334, 6.336794816666667, - 6.284040483333333, - 6.179809716666666, + 6.2840404833333325, + 6.179809716666667, 6.5727312, 6.571142016666666, - 6.383487316666667, + 6.383487316666666, 6.697473899999999, - 6.618063883333333, + 6.618063883333334, 7.141478616666666, 6.373870299999999, 5.451947366666667, @@ -47816,29 +47755,29 @@ 4.374628516666666, 4.332048233333333, 4.498126083333333, - 5.071968716666666, + 5.0719687166666665, 5.6740398333333335, 5.814739899999999, 5.136748416666666, 5.425996166666667, 5.244583516666667, - 5.971462866666667, - 6.241099766666665, - 6.746050483333334, - 6.1521382666666655, + 5.971462866666666, + 6.241099766666666, + 6.746050483333333, + 6.152138266666666, 6.1675386, 5.921018583333333, 5.9672032, - 6.609904983333334, + 6.609904983333333, 6.892927066666666, - 5.956209983333334, - 6.291150849999999, + 5.956209983333333, + 6.29115085, 5.606229216666666, 5.0328617, 5.057895433333333, - 5.185062866666668, + 5.185062866666667, 5.0736889666666665, - 4.8799232833333335, + 4.879923283333333, 4.2697588, 3.925774333333333, 3.182921233333333, @@ -47852,7 +47791,7 @@ 2.495181666666667, 2.0020105666666668, 2.0822233666666663, - 2.0802246, + 2.0802245999999998, 2.2324585333333338, 2.3509100333333333, 2.2758252166666666, @@ -47860,22 +47799,22 @@ 3.104314, 2.9966427333333328, 2.823192383333333, - 3.5249069333333334, + 3.524906933333333, 3.5400779, 3.4164165, 2.7196497166666664, 2.6127484666666665, 2.7575607499999997, 2.9277672, - 2.9520472999999994, + 2.9520473, 2.6508069499999998, 2.7284967166666667, 2.8407389333333333, - 3.2386737166666664, + 3.238673716666667, 3.5011019500000002, 4.071225566666667, 3.233119766666667, - 3.7544702, + 3.7544701999999996, 3.4173012, 3.1396528499999996, 3.7274868499999996, @@ -47888,23 +47827,23 @@ 6.6989647833333335, 5.817459533333333, 5.3759287, - 5.6807242333333345, - 5.756398849999999, + 5.680724233333334, + 5.75639885, 6.181316983333334, 5.770570433333333, 5.848227433333333, - 5.760740433333332, + 5.760740433333334, 5.660048466666667, 6.21211765, - 6.024249966666665, - 6.144470866666667, - 5.4749659500000005, + 6.024249966666666, + 6.1444708666666665, + 5.47496595, 5.641174866666666, 5.33734595, 5.035302816666667, - 5.658590349999999, + 5.65859035, 5.450259883333333, - 6.1128182666666655, + 6.112818266666666, 5.96833365, 6.3124328, 6.051036716666667, @@ -47913,45 +47852,45 @@ 6.2601535833333335, 6.150942283333333, 6.001919483333334, - 5.672843849999999, - 5.333577783333334, - 5.665717099999998, + 5.67284385, + 5.333577783333332, + 5.665717099999999, 5.512598466666666, 5.465987883333332, 5.443837616666666, - 5.446213200000001, + 5.4462132, 5.275597166666667, 5.12413325, 5.09926335, 5.034794933333333, - 4.796597649999999, + 4.79659765, 4.944408083333333, 4.80554295, 4.7633231, - 4.45490685, + 4.4549068499999995, 3.946384566666666, - 3.665131883333333, + 3.6651318833333333, 3.0646663333333333, 2.182866183333333, 1.76305965, - 0.6180448666666667, + 0.6180448666666666, 0.38702348333333336, 0.35643579999999997, 0.33153313333333334, 0.3056802333333334, 0.28082671666666664, 0.25492466666666663, - 0.22777748333333328, + 0.22777748333333334, 0.19946708333333335, 0.17112391666666668, 0.14564783333333334, - 0.12970685, - 0.11250435000000002, + 0.12970684999999998, + 0.11250435, 0.10003663333333333, - 0.0981034, + 0.09810340000000001, 0.08958406666666667, 0.08073706666666666, - 0.0754944, + 0.07549439999999999, 0.06967831666666666, 0.0635018, 0.054277983333333335, @@ -48841,37 +48780,37 @@ 0.6436518999999999, 0.7000350666666666, 0.7500025000000001, - 0.8185624666666665, + 0.8185624666666667, 0.8742745999999999, - 0.9228836000000001, + 0.9228836, 1.0012963, 1.0589069666666666, - 1.1658140333333336, + 1.1658140333333333, 1.1801185, 1.278564, - 1.4140963666666668, + 1.4140963666666666, 1.5063389, 1.5968793000000001, - 1.6885817333333335, - 1.8479112333333336, + 1.6885817333333333, + 1.8479112333333332, 1.9902357666666664, 2.0299904, 2.132249333333333, - 2.2868815999999996, - 2.4641162333333337, + 2.2868816, + 2.4641162333333333, 2.6086011666666664, 2.766850466666667, 2.8890276333333333, - 3.089110133333334, + 3.0891101333333335, 3.2813366333333334, 3.482892133333333, 3.6570825666666664, 3.7753481, - 3.8808476333333335, - 3.9592766999999993, + 3.880847633333333, + 3.9592766999999998, 4.070553666666667, 4.124236333333333, - 4.259686866666666, + 4.259686866666667, 4.343369633333334, 4.424401, 4.498558366666667, @@ -48879,56 +48818,56 @@ 4.664090833333334, 4.761390666666667, 4.8328638999999995, - 4.935270133333334, + 4.935270133333333, 5.013044533333333, 5.1091005, 5.198184266666667, 5.290934166666665, 5.362194633333333, - 5.430918266666667, - 5.514551933333334, - 5.595566933333334, + 5.430918266666666, + 5.514551933333333, + 5.595566933333333, 5.6805262999999995, - 5.758889899999999, + 5.7588899, 5.761754066666667, 5.905829833333334, - 5.955469933333334, - 6.063735433333334, - 6.144586766666667, + 5.955469933333333, + 6.063735433333333, + 6.1445867666666665, 6.231608333333333, 6.311313999999999, 6.3789247, - 6.449645066666665, - 6.536322933333334, + 6.449645066666666, + 6.5363229333333335, 6.624408333333333, 6.699629533333334, - 6.767420266666667, + 6.767420266666666, 6.830955666666667, 6.873590833333334, 6.574768233333333, - 6.184750566666666, + 6.184750566666667, 2.177650466666667, 5.815469466666667, 1.2311334, 1.5995961666666667, 4.3807511, 5.389166899999999, - 2.151496533333334, - 6.2622631, - 5.585321399999999, + 2.151496533333333, + 6.262263099999999, + 5.5853214, 7.3736907, 7.224361233333332, - 7.184933933333333, - 7.130580233333332, + 7.184933933333332, + 7.130580233333333, 7.016373633333333, 6.792674033333333, - 6.837289566666666, + 6.837289566666667, 6.753966866666666, 6.3048328, 4.4485091, 4.560669866666667, 3.0219904333333334, - 2.1141805333333337, + 2.1141805333333332, 2.4355727666666667, 1.0544388666666666, 1.5125909666666666, @@ -48948,40 +48887,40 @@ 5.030475033333333, 4.9518823, 4.542830199999999, - 4.185840466666667, - 3.7222219000000005, - 3.3233498666666663, + 4.185840466666666, + 3.7222219, + 3.3233498666666668, 2.9884387666666665, 2.012739933333333, 1.4661423666666666, - 0.3564332666666667, - 0.23009896666666668, + 0.35643326666666664, + 0.23009896666666665, 0.22589273333333332, 0.22556539999999997, 0.21682559999999998, - 0.20964063333333333, + 0.2096406333333333, 0.21150643333333333, - 0.2043214666666667, + 0.20432146666666665, 0.1880039, - 0.17157176666666665, + 0.17157176666666668, 0.17376490000000003, - 0.17846213333333336, - 0.18386313333333337, + 0.17846213333333333, + 0.18386313333333335, 0.17854396666666666, 0.1641413, 0.15528693333333332, 0.14885483333333335, 0.14880573333333336, 0.1498859333333333, - 0.1573491333333333, + 0.15734913333333334, 0.15419036666666666, 0.14104793333333332, 0.1337975, 0.12932939999999998, 0.12720173333333334, 0.12142429999999999, - 0.10700526666666665, - 0.09414106666666668, + 0.10700526666666667, + 0.09414106666666666, 0.08224250000000001, 0.07224246666666666, 0.04008196666666666, @@ -55426,25 +55365,25 @@ ], "xaxis": "x", "y": [ - 7.6501637833333325, - 8.006109399999998, - 8.108983183333335, + 7.650163783333333, + 8.0061094, + 8.108983183333333, 7.735639916666667, 7.649399416666667, 8.5986265, 8.102303283333333, 8.055743383333333, - 8.501618399999998, + 8.5016184, 8.12908935, 7.9226438833333335, 8.003916, 8.18970695, - 8.341267566666666, + 8.341267566666668, 7.7585543, 7.490677016666667, 7.516815033333333, 7.485658783333333, - 7.589695733333333, + 7.5896957333333335, 7.451810633333333, 8.221694033333334, 8.684950083333332, @@ -55455,13 +55394,13 @@ 8.972667666666666, 9.262844516666666, 9.244682500000001, - 9.347323649999998, + 9.34732365, 9.399898783333333, 10.690714683333335, - 10.776672699999999, + 10.7766727, 10.781624466666667, 11.001346649999999, - 11.349449200000002, + 11.3494492, 11.193900583333331, 10.681226566666666, 10.149775716666666, @@ -55472,19 +55411,19 @@ 9.644712133333334, 10.512002433333333, 11.080658, - 11.162860649999999, + 11.16286065, 11.126303983333333, 11.10712835, - 11.533944049999999, - 11.459800483333332, - 12.072407133333332, + 11.53394405, + 11.459800483333334, + 12.072407133333334, 12.463397299999999, - 12.880060216666665, + 12.880060216666667, 12.926105, 11.902800816666666, 11.237153766666667, 10.150656399999999, - 9.463889566666666, + 9.463889566666667, 9.637915916666666, 10.144092816666667, 10.06027835, @@ -55492,23 +55431,23 @@ 9.8278278, 9.967175166666667, 11.028099483333333, - 11.008441966666664, - 11.419455216666666, - 11.542717649999998, - 11.806291216666665, + 11.008441966666666, + 11.419455216666668, + 11.54271765, + 11.806291216666667, 11.662041933333333, 12.0753649, 12.2996899, 12.35088585, - 12.196317616666668, + 12.196317616666667, 12.920355633333331, 13.856854349999999, - 13.998062783333333, + 13.998062783333332, 14.479214983333332, - 14.500467700000002, + 14.5004677, 14.48935115, 14.405071416666665, - 14.431126350000001, + 14.43112635, 14.4456327, 14.409208966666666, 14.260174083333332, @@ -55517,13 +55456,13 @@ 14.376756616666666, 14.360389199999998, 14.311104166666667, - 14.32188838333333, + 14.321888383333333, 14.313015083333333, - 14.339651600000002, + 14.3396516, 14.268399333333331, 14.205820966666666, 14.237691733333332, - 14.23003145, + 14.230031449999998, 14.226907516666667, 14.200337466666666, 14.171358, @@ -55536,72 +55475,72 @@ 14.046018483333334, 14.06682255, 14.060258966666666, - 14.039072716666665, + 14.039072716666666, 14.020229416666666, 14.0016686, 14.035566600000001, 14.01687285, 13.993426733333333, 13.990468966666667, - 13.95785045, - 13.918219700000002, + 13.957850449999999, + 13.9182197, 13.898811433333332, 13.88786105, 13.878007366666667, 13.875564716666666, 13.832245066666667, 13.84718345, - 13.831530549999998, + 13.83153055, 13.81099235, 13.820148133333333, 13.827260066666666, - 13.814996966666664, + 13.814996966666666, 13.811407766666667, 13.839523166666666, 13.837728566666666, 13.816077049999999, - 13.758616616666668, + 13.758616616666666, 13.694758766666666, 13.714167033333332, 13.689175566666668, - 13.654679366666668, + 13.654679366666667, 13.616261633333332, 13.620365950000002, 13.600791516666668, 13.574204850000001, 13.5379639, - 13.488595783333334, + 13.488595783333333, 13.467143666666667, - 13.428028033333336, - 13.409965716666663, - 13.372628066666666, + 13.428028033333334, + 13.409965716666667, + 13.372628066666667, 13.348201566666667, - 13.322694983333331, + 13.322694983333333, 13.300860683333333, - 13.291621816666666, + 13.291621816666668, 13.246972833333334, 13.253137616666667, - 13.258288783333334, + 13.258288783333333, 13.245560416666665, 13.204068600000001, 13.1869202, - 13.12854585, + 13.128545849999998, 13.123943033333333, 13.107592233333333, 13.06154745, - 13.013624983333331, + 13.013624983333333, 12.965619433333334, 12.9454468, - 12.9354768, + 12.935476800000002, 12.908026066666666, - 12.828465466666666, + 12.828465466666668, 12.849867733333333, 12.83383265, 12.787438916666666, 12.740181116666667, 12.70631635, 12.686708683333334, - 12.640431266666669, + 12.640431266666667, 12.6077629, 12.592458950000001, 12.570392016666666, @@ -55610,45 +55549,45 @@ 12.467850566666668, 12.417668233333334, 12.386728000000002, - 12.327472966666665, - 12.332075783333334, - 12.285549116666667, + 12.327472966666667, + 12.332075783333332, + 12.285549116666665, 12.284967533333335, 12.259876366666667, - 12.2419636, + 12.241963599999998, 12.199474783333335, - 12.173469700000002, - 12.14211405, + 12.1734697, + 12.142114050000002, 12.117936799999999, - 12.091017799999998, + 12.0910178, 12.03035035, 11.880052599999999, - 11.960460649999998, + 11.96046065, 11.871528249999997, 11.850857116666667, 11.812705249999999, - 11.799594700000002, + 11.7995947, 11.784905566666666, 11.750226583333333, - 11.247040683333333, - 11.708452283333335, + 11.247040683333331, + 11.708452283333333, 11.6576219, 11.612640583333333, 11.6036842, 11.5807532, 11.499730333333332, - 11.444579616666667, + 11.444579616666665, 11.4108644, - 11.353935700000001, + 11.3539357, 11.279409950000002, - 11.218426783333335, - 11.187237299999998, - 11.143036966666665, + 11.218426783333333, + 11.1872373, + 11.143036966666667, 11.09566285, 11.050930783333335, 11.031190183333335, - 10.997973466666664, - 10.930144233333332, + 10.997973466666668, + 10.930144233333333, 10.741678000000002, 10.66416125, 10.6729847, @@ -55657,7 +55596,7 @@ 10.648624666666668, 10.584467716666667, 10.525162833333333, - 10.492045816666664, + 10.492045816666666, 10.433123116666668, 10.37592855, 10.2991097, @@ -55667,10 +55606,10 @@ 10.07313965, 9.9848553, 9.956706666666667, - 9.883526866666665, - 9.821064816666667, - 9.763056033333331, - 9.694429199999998, + 9.883526866666667, + 9.821064816666668, + 9.763056033333333, + 9.6944292, 9.653784833333333, 9.579840666666666, 9.501925116666666, @@ -55693,24 +55632,24 @@ 8.505290683333333, 8.462502766666667, 8.39798025, - 8.319665899999999, + 8.3196659, 8.26308615, 8.177859266666667, 8.097152116666667, 8.042283883333333, 7.981682899999999, - 7.888546483333332, + 7.888546483333333, 7.832598166666667, 7.756410750000001, 7.666597666666666, 7.610267166666667, 7.355045, - 7.426375199999999, - 7.511632800000001, - 7.559341199999999, + 7.4263752, + 7.5116328, + 7.5593411999999995, 7.652683, - 7.7618446, - 7.8229326, + 7.761844600000001, + 7.822932600000001, 7.891391, 7.9804334, 8.0514482, @@ -55723,21 +55662,21 @@ 8.533728, 8.5866654, 8.595729, - 8.688705599999999, + 8.6887056, 8.7457764, 8.8250912, 8.878344, 8.9465866, 9.028291800000002, 9.082939, - 9.1499864, + 9.149986399999998, 9.193843600000001, 9.259313999999998, 9.3265606, 9.394952600000002, - 9.4321864, + 9.432186399999999, 9.5293794, - 9.582964199999997, + 9.5829642, 9.6640552, 9.6766048, 9.777333599999999, @@ -55745,10 +55684,10 @@ 9.8803532, 9.937175, 10.0082396, - 10.052677800000001, + 10.0526778, 10.077445, 10.090227, - 10.2083194, + 10.208319399999999, 10.263348399999998, 10.310874199999999, 10.343875, @@ -55760,34 +55699,34 @@ 10.698953083333333, 10.697924916666667, 10.833394166666666, - 10.910075499999998, + 10.9100755, 10.9665915, - 11.029641333333332, + 11.029641333333334, 11.088794083333335, 11.138411416666667, - 11.22054866666667, + 11.220548666666668, 11.287081, 11.334376666666666, 11.396332000000001, 11.429681083333332, - 11.349484083333333, + 11.349484083333332, 11.246750333333333, 11.33359725, 11.155077666666667, - 11.344459333333335, + 11.344459333333333, 11.577737083333332, - 11.720884416666664, - 11.409781083333332, + 11.720884416666667, + 11.409781083333334, 10.941898916666666, - 11.386265916666666, - 11.52196733333333, - 11.824430750000001, + 11.386265916666668, + 11.521967333333333, + 11.82443075, 11.787168000000001, 11.383430166666667, 11.666839333333334, 11.967760499999999, 11.884611666666666, - 11.747616749999997, + 11.747616749999999, 11.786803166666665, 11.996084833333333, 12.038637666666666, @@ -55800,17 +55739,17 @@ 12.20491875, 12.382028749999998, 12.4121275, - 12.435244666666666, + 12.435244666666668, 12.458345249999999, 12.494198416666666, - 12.521958916666668, + 12.521958916666666, 12.564976083333333, 12.609668166666665, - 12.648837999999998, + 12.648838000000001, 12.652917500000001, 12.666565583333332, 12.679052833333335, - 12.702551416666667, + 12.702551416666665, 12.710445083333331, 12.724739916666667, 12.735834166666667, @@ -55827,25 +55766,25 @@ 13.048131499999998, 13.13086575, 13.160699166666667, - 13.196088, - 13.289982833333335, + 13.196088000000001, + 13.289982833333333, 13.377957416666668, - 13.403628416666665, - 13.4952845, + 13.403628416666667, + 13.495284499999999, 13.539097666666667, - 13.577372000000002, + 13.577372, 13.580738416666666, 13.657983583333333, - 13.702261083333331, + 13.702261083333333, 13.7245325, - 13.758296166666668, + 13.758296166666666, 13.804381249999999, 13.857779583333333, 13.863616916666667, - 13.865308416666666, + 13.865308416666668, 13.9028365, - 13.977527833333335, - 14.035204666666665, + 13.977527833333333, + 14.035204666666667, 13.992966916666667, 14.022816916666667, 14.234801666666666, @@ -55855,38 +55794,38 @@ 12.125982083333334, 10.029981416666665, 9.51613025, - 15.255107833333335, - 6.621774750000001, + 15.255107833333334, + 6.62177475, 15.089639333333334, 15.38663025, 15.317262166666666, 15.267064416666667, 15.161975833333331, 14.958249583333332, - 14.858766166666667, - 14.836312333333332, + 14.858766166666665, + 14.836312333333334, 10.686698, - 14.989625249999998, + 14.98962525, 15.062641666666664, 15.193898749999999, 14.017875083333333, 12.24133575, 15.970861083333332, - 16.16831883333333, - 15.397989833333332, - 15.267396083333331, + 16.168318833333334, + 15.397989833333334, + 15.267396083333333, 8.094109416666667, 10.461612416666666, 9.6161775, 7.586559916666666, 14.430733750000002, 7.665065416666666, - 8.81757391666667, + 8.817573916666667, 9.128096833333332, 7.772724416666667, 9.333481416666666, 9.437641333333335, - 8.653117, + 8.653117000000002, 9.421787666666667, 10.020877166666665, 10.534993666666665, @@ -55898,51 +55837,51 @@ 9.848510000000001, 8.138685416666666, 8.184040833333333, - 8.198501499999999, + 8.1985015, 9.892372916666666, 11.379649166666667, 11.051498166666667, - 9.122292666666667, + 9.122292666666665, 8.175351166666667, 8.711191833333334, 10.684409499999997, 10.768603083333335, 10.045785333333333, 10.256741916666666, - 10.433669499999999, + 10.4336695, 10.961782333333332, 10.484497416666667, 9.72269225, 9.206419916666666, 11.423876916666666, 12.003248833333334, - 11.709375583333333, + 11.709375583333332, 9.49573275, 8.09765825, - 7.661367333333333, + 7.661367333333334, 8.240274916666667, 9.286335000000001, - 10.286426083333332, + 10.286426083333334, 9.129008916666667, 9.448039083333333, 8.907787250000002, 10.83012725, 11.723653833333334, 11.97586975, - 11.979484916666669, - 12.186743416666665, + 11.979484916666667, + 12.186743416666667, 11.999981916666666, 12.129696749999999, 12.031987749999999, - 11.975256166666668, + 11.975256166666666, 11.932703333333333, - 11.888409249999999, + 11.88840925, 11.824049333333335, - 11.799025083333332, - 11.751712833333334, - 11.70781675, - 11.647204666666665, - 11.589362000000001, + 11.799025083333333, + 11.751712833333332, + 11.707816750000001, + 11.647204666666667, + 11.589362, 11.54175125, 11.476960166666666, 11.40573475, @@ -55950,24 +55889,24 @@ 11.331806250000001, 11.286948333333333, 11.2734495, - 11.224694500000002, - 11.181926083333332, + 11.2246945, + 11.181926083333334, 11.114730416666667, 11.082028083333334, 10.998414916666666, 10.939112916666666, - 10.863393416666668, + 10.863393416666666, 10.825003, 10.783909499999998, 10.757425916666667, 10.697178666666668, - 10.577728916666668, - 10.545540666666664, + 10.577728916666667, + 10.545540666666666, 10.518227916666666, 10.484082833333334, 10.42959, 10.400171166666667, - 10.332876, + 10.332875999999999, 10.274569, 10.220374666666666, 10.17223325, @@ -55985,7 +55924,7 @@ 9.52568225, 9.4866285, 9.441024333333333, - 9.36459175, + 9.364591749999999, 9.284709833333332, 9.216917166666667, 9.1471345, @@ -55993,378 +55932,378 @@ 8.99017325, 8.926111833333334, 8.85097275, - 8.777176916666665, + 8.777176916666667, 8.74679625, 8.681491083333333, 8.62699825, 8.569619916666666, - 8.515176833333335, + 8.515176833333333, 8.451049083333334, 8.391713916666667, 8.305132333333333, 8.19705875, 8.107591666666666, - 8.05357975, + 8.053579749999999, 7.990115333333333, 7.866950916666667, - 7.800584416666665, + 7.800584416666666, 7.728281083333333, 7.64035625, 7.278846633333333, - 7.381874733333334, - 7.372729933333334, - 7.516611433333335, + 7.381874733333333, + 7.372729933333333, + 7.516611433333334, 7.605359066666667, 7.671625733333333, - 7.7506487333333345, - 7.8314278, - 7.905580200000002, - 7.9717309, - 8.042884733333334, + 7.750648733333334, + 7.831427799999999, + 7.9055802, + 7.971730899999999, + 8.042884733333333, 8.056485966666667, 8.169371233333333, - 8.256926066666669, + 8.256926066666667, 8.300165066666667, 8.369314333333334, 8.450225933333334, - 8.519938466666666, + 8.519938466666668, 8.587745833333335, - 8.640759166666669, + 8.640759166666667, 8.722648200000002, - 8.77702, - 8.823025633333335, - 8.88732086666667, + 8.777019999999998, + 8.823025633333334, + 8.887320866666666, 8.945271066666667, 9.006219833333333, - 9.049144066666667, - 9.1026047, + 9.049144066666665, + 9.102604699999999, 9.147450666666666, - 9.211199200000003, - 9.276190233333335, + 9.211199200000001, + 9.276190233333333, 9.312073633333334, - 9.375408, - 9.431834066666667, - 9.492186433333336, + 9.375407999999998, + 9.431834066666665, + 9.492186433333334, 9.542466266666668, 9.598130266666667, - 9.641435533333334, + 9.641435533333333, 9.699965566666666, - 9.733248000000001, - 9.793517533333334, - 9.870519400000003, - 9.919871500000001, - 9.958753466666668, + 9.733248, + 9.793517533333333, + 9.870519400000001, + 9.9198715, + 9.958753466666664, 9.939801200000002, - 9.977026500000001, + 9.9770265, 10.094600133333334, 10.182767933333334, - 10.220225166666667, - 10.246466766666668, - 10.305543500000002, - 10.354034133333334, - 10.403286833333336, + 10.220225166666665, + 10.246466766666666, + 10.3055435, + 10.354034133333332, + 10.403286833333334, 10.443958, - 10.495646, - 10.510191533333336, + 10.495645999999999, + 10.510191533333334, 10.574205133333333, 10.620906566666667, - 10.688067833333333, - 10.742141433333334, - 10.760712666666668, - 10.818248700000002, - 10.871311733333334, - 10.902689000000002, + 10.688067833333331, + 10.742141433333332, + 10.760712666666667, + 10.8182487, + 10.871311733333332, + 10.902689, 10.941173366666668, 11.020461433333335, - 11.0825533, - 11.122296733333336, - 11.169263233333336, + 11.082553299999999, + 11.122296733333334, + 11.169263233333334, 11.200657066666668, - 11.238130866666669, + 11.238130866666665, 11.282927133333335, - 11.324807666666668, - 11.355588533333334, + 11.324807666666667, + 11.355588533333332, 11.4059015, - 11.446191633333333, - 11.482621733333335, + 11.446191633333335, + 11.482621733333334, 11.5347736, - 11.569447633333334, - 11.602995133333334, - 11.612471266666667, - 11.666213533333334, + 11.569447633333333, + 11.602995133333332, + 11.612471266666665, + 11.666213533333332, 11.698717333333333, 11.710529366666668, - 11.760693233333336, - 11.792269300000001, - 11.838871333333335, + 11.760693233333333, + 11.7922693, + 11.838871333333334, 11.892050333333335, - 11.938105666666669, - 11.981858233333336, - 12.006360333333335, - 12.042525366666668, + 11.938105666666667, + 11.981858233333332, + 12.006360333333333, + 12.042525366666666, 12.086625833333335, - 12.118218466666667, - 12.14689536666667, - 12.175737933333334, - 12.202095500000002, + 12.118218466666665, + 12.146895366666666, + 12.175737933333332, + 12.202095499999999, 12.238293666666667, - 12.295432100000001, + 12.2954321, 12.332342633333333, - 12.399139433333335, - 12.434674933333334, - 12.449850000000001, - 12.465737433333334, - 12.502167533333335, - 12.533776733333335, - 12.573387633333335, - 12.605245333333334, - 12.606289033333335, + 12.399139433333332, + 12.434674933333332, + 12.44985, + 12.46573743333333, + 12.502167533333333, + 12.533776733333333, + 12.573387633333333, + 12.605245333333333, + 12.606289033333333, 12.576469033333334, - 12.639339533333334, - 12.701332, - 12.6989961, - 12.691441700000004, - 12.7153971, - 12.775003966666668, + 12.639339533333333, + 12.701331999999999, + 12.698996099999999, + 12.691441699999999, + 12.715397099999999, + 12.775003966666667, 12.825996166666668, - 12.880384533333336, - 12.900297666666669, - 12.971335533333335, - 13.010847033333336, - 13.032218033333335, + 12.880384533333334, + 12.900297666666667, + 12.971335533333333, + 13.010847033333334, + 13.032218033333333, 13.064622433333334, 13.058658433333333, - 13.1109594, - 13.127608900000004, - 13.143264400000003, - 13.19263306666667, - 13.220299400000002, - 13.274919700000002, - 13.299471500000001, - 13.336763066666668, - 13.352832733333337, - 13.394431633333333, - 13.425842033333335, - 13.428244200000002, - 13.440652633333336, - 13.497509433333333, + 13.110959399999999, + 13.127608899999998, + 13.1432644, + 13.192633066666668, + 13.220299399999998, + 13.2749197, + 13.299471499999997, + 13.336763066666666, + 13.352832733333331, + 13.394431633333335, + 13.425842033333334, + 13.4282442, + 13.440652633333334, + 13.497509433333335, 13.490932466666667, - 13.4733221, + 13.473322099999999, 13.4951901, - 13.515600233333336, + 13.515600233333332, 13.584037133333334, 13.616739733333334, - 13.655803933333333, + 13.655803933333331, 13.680537966666666, - 13.691538233333334, - 13.672552833333334, - 13.6914057, - 13.706613900000004, + 13.691538233333333, + 13.672552833333333, + 13.691405699999999, + 13.7066139, 13.729128000000001, - 13.750167666666668, - 13.781992233333336, + 13.750167666666666, + 13.781992233333332, 13.774023666666666, - 13.764033966666668, + 13.764033966666666, 13.766187633333333, - 13.796372100000001, - 13.82650686666667, - 13.861661333333336, - 13.887058033333334, - 13.88689236666667, - 13.895606433333333, - 13.919644666666668, + 13.7963721, + 13.826506866666664, + 13.861661333333334, + 13.887058033333332, + 13.886892366666668, + 13.895606433333334, + 13.919644666666667, 13.901901766666667, - 13.881143733333337, - 13.883761266666667, - 13.910632400000003, - 13.902796366666669, + 13.881143733333332, + 13.883761266666665, + 13.9106324, + 13.902796366666665, 13.9393093, - 13.92267636666667, - 13.913365900000002, + 13.922676366666666, + 13.9133659, 13.971713700000002, 13.966312966666667, - 13.958692300000001, + 13.9586923, 13.994211233333333, 14.016460266666666, - 14.025638200000003, - 14.017073233333337, - 14.014074666666668, - 14.011341166666668, - 14.007928433333333, - 14.033722733333336, - 14.053735266666669, + 14.025638200000001, + 14.017073233333333, + 14.014074666666666, + 14.011341166666666, + 14.007928433333332, + 14.033722733333333, + 14.053735266666665, 14.063592433333334, 14.062101433333334, - 14.060593866666668, - 14.0590863, - 14.108189900000005, - 14.097239333333336, + 14.060593866666666, + 14.059086299999999, + 14.1081899, + 14.097239333333334, 14.088939433333334, - 14.124839400000004, - 14.120714300000001, - 14.1401967, - 14.159894466666668, - 14.190559366666667, + 14.124839399999999, + 14.1207143, + 14.140196699999999, + 14.159894466666666, + 14.190559366666665, 14.182541100000002, - 14.168409733333336, - 14.123812266666668, - 14.124441800000001, - 14.161335766666667, - 14.189731033333336, - 14.205121466666668, + 14.168409733333332, + 14.123812266666667, + 14.1244418, + 14.161335766666665, + 14.189731033333333, + 14.205121466666666, 14.245792633333334, 14.2145976, 14.216751266666668, 14.2578366, - 14.252750633333335, - 14.240275933333333, - 14.281924533333335, + 14.252750633333333, + 14.240275933333331, + 14.281924533333331, 14.282355266666666, - 14.262574666666668, - 14.249586400000002, - 14.258731200000001, - 14.277534366666668, - 14.286795133333333, + 14.262574666666666, + 14.2495864, + 14.2587312, + 14.277534366666666, + 14.286795133333332, 14.300678000000001, - 14.2962547, + 14.296254699999999, 14.3055983, - 14.293587466666665, + 14.293587466666667, 14.298921933333334, - 14.318420900000003, - 14.311860500000002, - 14.288915666666668, + 14.318420900000001, + 14.3118605, + 14.288915666666666, 14.251690366666667, - 14.211251133333334, - 14.18936656666667, + 14.211251133333333, + 14.189366566666665, 14.187096933333333, - 14.177007833333334, - 14.183617933333334, - 14.196308, - 14.19547966666667, + 14.177007833333333, + 14.183617933333332, + 14.196307999999998, + 14.195479666666667, 14.1897476, - 14.210555333333334, - 14.212245133333335, - 14.190012666666668, + 14.210555333333332, + 14.212245133333333, + 14.190012666666666, 14.167100966666666, 14.147833933333333, - 14.130687433333334, - 14.099575233333335, - 14.093611233333334, - 14.080341333333335, - 14.067651266666669, + 14.130687433333332, + 14.099575233333333, + 14.093611233333332, + 14.080341333333333, + 14.067651266666667, 14.0687281, 14.090480133333333, - 14.076315633333335, - 14.064371066666668, - 14.03156906666667, - 14.029166900000002, - 13.992422033333336, - 13.976965333333334, - 13.940700900000003, - 13.912603833333334, - 13.87127, - 13.869298566666668, + 14.076315633333333, + 14.064371066666666, + 14.031569066666666, + 14.0291669, + 13.992422033333334, + 13.976965333333332, + 13.9407009, + 13.912603833333332, + 13.871269999999997, + 13.869298566666666, 13.844050966666666, 13.8899075, 13.9003445, - 13.876024633333335, - 13.807786533333337, - 13.776574933333334, - 13.793091900000002, - 13.809244400000003, - 13.799536333333334, - 13.75821906666667, - 13.731231966666668, + 13.876024633333332, + 13.807786533333333, + 13.776574933333332, + 13.7930919, + 13.809244399999999, + 13.799536333333332, + 13.758219066666667, + 13.731231966666666, 13.7072103, - 13.748742933333334, - 13.781395833333335, - 13.798393233333336, - 13.803512333333336, - 13.766336733333334, - 13.736334500000002, - 13.748511000000002, - 13.748361900000003, - 13.716785833333335, + 13.748742933333332, + 13.781395833333333, + 13.798393233333334, + 13.803512333333332, + 13.766336733333333, + 13.7363345, + 13.748511, + 13.748361899999999, + 13.716785833333333, 13.697800433333333, - 13.685458266666668, - 13.645747966666669, + 13.685458266666666, + 13.645747966666667, 13.603950266666667, - 13.589951433333335, - 13.559419066666669, - 13.525838433333334, - 13.517737333333336, - 13.494229233333336, - 13.446268733333337, - 13.420524133333336, - 13.39640306666667, - 13.386678433333335, - 13.367461099999998, - 13.339098966666668, - 13.294004500000002, - 13.299918800000002, + 13.589951433333333, + 13.559419066666667, + 13.525838433333332, + 13.517737333333335, + 13.494229233333334, + 13.446268733333334, + 13.420524133333332, + 13.396403066666666, + 13.386678433333332, + 13.3674611, + 13.339098966666667, + 13.2940045, + 13.2999188, 13.272848866666667, - 13.250135966666669, + 13.250135966666667, 13.202225166666667, 13.154380633333332, 13.135527766666666, - 13.116161333333336, - 13.055129733333336, - 12.955232733333336, + 13.116161333333334, + 13.055129733333333, + 12.955232733333332, 12.994876766666666, - 12.93538586666667, - 12.886017200000001, + 12.935385866666666, + 12.8860172, 12.8720018, - 12.870792433333333, + 12.870792433333332, 12.8600241, - 12.835621400000003, - 12.8160893, - 12.744388766666669, + 12.835621399999999, + 12.816089299999998, + 12.744388766666667, 12.770796033333335, - 12.766604666666668, - 12.746360200000002, - 12.758337900000004, - 12.689901, - 12.649246400000003, + 12.766604666666666, + 12.7463602, + 12.758337899999999, + 12.689900999999999, + 12.6492464, 12.597740633333334, 12.5748455, - 12.533031233333336, - 12.489543733333337, - 12.461496366666667, - 12.430549833333336, + 12.533031233333332, + 12.489543733333333, + 12.461496366666665, + 12.430549833333334, 12.373444533333334, - 12.341520566666668, + 12.341520566666667, 12.319702266666667, - 12.318575733333336, + 12.318575733333333, 12.2944381, - 12.231352233333334, + 12.231352233333332, 12.223880666666668, - 12.18581046666667, - 12.170767933333336, - 12.145536900000002, + 12.185810466666666, + 12.170767933333334, + 12.1455369, 12.1009063, 12.081606133333334, - 12.038681900000002, - 11.996884200000002, - 11.926012, - 11.907722400000003, - 11.565123733333335, + 12.0386819, + 11.9968842, + 11.926011999999998, + 11.9077224, + 11.565123733333333, 11.839086700000001, - 11.805671733333336, - 11.740581300000002, + 11.805671733333332, + 11.7405813, 11.7149361, - 11.666925900000003, - 11.628905400000003, + 11.666925899999999, + 11.6289054, 11.5825353, 11.507869333333334, 11.475663733333334, - 11.430950300000001, + 11.4309503, 11.400682999999999, 11.360293466666667, - 11.323151000000001, - 11.267371033333337, + 11.323151, + 11.267371033333333, 11.2156702, - 11.162445400000001, - 11.130023949999998, + 11.1624454, + 11.13002395, 11.080191899999999, 11.01950305, 10.97958445, @@ -56373,11 +56312,11 @@ 10.8676899, 10.8278706, 10.772643249999998, - 10.734462400000002, + 10.734462399999998, 10.69121725, 10.648832699999998, 10.5876308, - 10.507545349999997, + 10.50754535, 10.4876026, 10.44098125, 10.387392349999999, @@ -56391,7 +56330,7 @@ 9.9068962, 9.830369, 9.797186250000001, - 9.739310900000001, + 9.7393109, 9.679697799999998, 9.63496315, 9.5774188, @@ -56399,9 +56338,9 @@ 9.431861549999999, 9.393399350000001, 9.327331749999999, - 9.2652527, + 9.265252699999998, 9.2116307, - 9.145248650000003, + 9.14524865, 9.0708895, 9.00477225, 8.938406750000002, @@ -56415,381 +56354,381 @@ 8.46186605, 8.39689075, 8.329946, - 8.257490099999998, + 8.2574901, 8.189850250000001, - 8.132372099999998, + 8.1323721, 8.06426885, - 7.993302450000001, + 7.99330245, 7.92819475, 7.8757147000000005, - 7.815009299999999, + 7.8150093, 7.7422720499999995, 7.67590655, 7.602424549999999, 7.54251355, 7.28765505, - 7.36454475, - 7.436306250000001, - 7.459433100000001, - 7.482376800000001, + 7.364544749999999, + 7.43630625, + 7.4594331, + 7.4823768, 7.624884150000001, - 7.703605350000002, - 7.778547000000001, - 7.837338150000001, + 7.70360535, + 7.7785470000000005, + 7.83733815, 7.91432775, 7.9907013000000005, - 8.0642943, - 8.1221697, - 8.201606850000001, - 8.254137600000002, - 8.332092900000001, - 8.39281545, - 8.466591600000001, + 8.064294299999998, + 8.122169699999999, + 8.20160685, + 8.2541376, + 8.3320929, + 8.392815449999999, + 8.4665916, 8.52764715, 8.5881699, 8.6498748, 8.7144435, - 8.788286250000002, + 8.78828625, 8.85082365, 8.91441, 8.9759484, - 9.034240050000001, + 9.03424005, 9.091599299999999, 9.1499076, - 9.199108350000001, + 9.19910835, 9.254069999999999, - 9.3058848, + 9.305884800000001, 9.36271125, 9.40593465, 9.4543029, - 9.510912900000001, + 9.5109129, 9.557549550000001, - 9.582174900000002, - 9.628495200000001, - 9.682757550000002, - 9.708182100000002, - 9.764492400000002, + 9.582174899999998, + 9.6284952, + 9.68275755, + 9.708182099999998, + 9.7644924, 9.81702315, 9.8598636, 9.9078822, - 9.933872850000002, + 9.93387285, 9.9993573, 10.056267, 10.1170395, 10.15611705, - 10.1970261, + 10.197026099999999, 10.2401496, - 10.286003700000002, + 10.2860037, 10.32927705, - 10.370802150000001, - 10.409563350000003, - 10.450339200000002, + 10.37080215, + 10.409563349999999, + 10.4503392, 10.4903325, - 10.535054400000002, - 10.572417000000002, + 10.5350544, + 10.572417, 10.619486550000001, - 10.655017650000001, + 10.65501765, 10.7108451, - 10.753136100000003, + 10.753136099999999, 10.77459795, - 10.807964550000001, - 10.856782350000001, + 10.80796455, + 10.85678235, 10.895260500000001, - 10.943645400000003, - 10.981307700000002, - 11.020535099999998, - 11.041947, - 11.059945650000003, - 11.1481407, + 10.9436454, + 10.9813077, + 11.0205351, + 11.041946999999999, + 11.05994565, + 11.148140699999999, 11.177111700000001, - 11.196975150000004, + 11.196975149999998, 11.2243977, - 11.299705650000002, - 11.33044155, - 11.365639650000002, - 11.410711200000001, + 11.299705649999998, + 11.330441549999998, + 11.365639649999999, + 11.4107112, 11.4784101, 11.5070148, - 11.5321563, + 11.532156299999999, 11.56700475, 11.6082468, - 11.6557992, - 11.665589400000002, + 11.655799199999999, + 11.665589399999998, 11.6886663, 11.726711550000001, - 11.75764725, - 11.794177349999998, + 11.757647249999998, + 11.794177350000002, 11.77023465, 11.86850295, - 11.89421055, - 11.913041700000003, + 11.894210549999999, + 11.9130417, 11.89021455, - 11.881856250000002, - 11.884070700000002, + 11.88185625, + 11.8840707, 11.9342871, - 12.060144450000003, - 12.122748450000001, + 12.06014445, + 12.12274845, 12.170733750000002, - 12.216321450000002, - 12.263724, + 12.21632145, + 12.263723999999998, 12.3333543, 12.34452645, 12.40003755, - 12.416754150000003, - 12.461908950000003, - 12.488765400000002, - 12.499504650000002, + 12.41675415, + 12.46190895, + 12.4887654, + 12.49950465, 12.5281926, - 12.518485650000002, - 12.554832600000001, - 12.608162550000001, - 12.624696000000002, - 12.648672000000001, - 12.667519800000003, + 12.51848565, + 12.5548326, + 12.60816255, + 12.624696, + 12.648672, + 12.6675198, 12.68558505, 12.70070325, - 12.705465150000002, - 12.754166400000003, - 12.764106450000003, - 12.783670200000001, - 12.815621550000001, - 12.841745400000002, - 12.844159650000002, - 12.8710827, - 12.919184550000002, + 12.70546515, + 12.754166399999999, + 12.76410645, + 12.7836702, + 12.81562155, + 12.841745399999999, + 12.84415965, + 12.871082699999999, + 12.919184549999999, 12.95384985, - 12.974728950000001, + 12.97472895, 13.0133736, - 13.032970650000003, - 13.065821099999999, - 13.086983250000001, - 13.075294950000002, - 13.128791400000003, - 13.15641375, + 13.032970649999998, + 13.0658211, + 13.08698325, + 13.07529495, + 13.128791399999999, + 13.156413749999999, 13.15727955, 13.182804, - 13.105015200000002, - 13.133952900000002, - 13.214039400000003, - 13.251568500000001, + 13.105015199999999, + 13.1339529, + 13.214039399999999, + 13.2515685, 13.280106600000002, - 13.3006194, - 13.310709300000001, - 13.331072250000002, - 13.31129205, - 13.371565050000001, - 13.39131195, - 13.399820100000001, - 13.380456150000002, - 13.410009900000002, + 13.300619399999999, + 13.3107093, + 13.33107225, + 13.311292049999999, + 13.37156505, + 13.391311949999999, + 13.3998201, + 13.380456149999999, + 13.4100099, 13.411858050000001, - 13.431971250000002, - 13.463606250000002, - 13.5188676, + 13.43197125, + 13.46360625, + 13.518867599999998, 13.5365166, 13.5463734, - 13.5599598, - 13.573129950000002, - 13.617485550000001, - 13.616270100000001, - 13.608977400000002, - 13.571215200000003, - 13.6270593, - 13.6312884, - 13.641228450000002, - 13.65837795, - 13.648471200000001, + 13.559959800000001, + 13.57312995, + 13.61748555, + 13.6162701, + 13.608977399999999, + 13.5712152, + 13.627059299999999, + 13.631288399999999, + 13.64122845, + 13.658377949999998, + 13.648471199999998, 13.66810155, - 13.675044600000001, - 13.686266700000003, + 13.6750446, + 13.686266700000001, 13.69560735, 13.66943355, - 13.603216500000002, + 13.6032165, 13.6946916, - 13.689513450000002, - 13.672996650000002, - 13.683935700000003, - 13.667418900000003, - 13.6396467, - 13.630988700000001, - 13.6245285, - 13.605131250000001, - 13.553582850000002, - 13.526293500000001, - 13.498920900000003, - 13.4699166, - 13.48611705, - 13.480106400000004, - 13.46177475, - 13.436649900000003, + 13.68951345, + 13.67299665, + 13.6839357, + 13.6674189, + 13.639646699999998, + 13.6309887, + 13.624528499999998, + 13.60513125, + 13.55358285, + 13.5262935, + 13.4989209, + 13.469916600000001, + 13.486117049999999, + 13.480106399999999, + 13.461774749999998, + 13.436649899999999, 13.41968355, - 13.407579000000002, - 13.430689200000002, + 13.407579, + 13.4306892, 13.434868349999999, - 13.404598650000002, - 13.404798450000001, + 13.40459865, + 13.404798449999998, 13.418351549999999, - 13.399353900000003, - 13.403949299999999, - 13.384352250000003, - 13.380289650000003, - 13.383386550000003, - 13.377492450000002, + 13.3993539, + 13.4039493, + 13.384352250000001, + 13.38028965, + 13.383386549999999, + 13.37749245, 13.328857800000002, - 13.294325700000003, - 13.249587150000002, - 13.202717400000003, - 13.190679450000003, + 13.2943257, + 13.24958715, + 13.2027174, + 13.19067945, 13.20389955, - 13.167585900000002, - 13.151085750000002, - 13.108744800000002, - 13.112474400000002, - 13.149454050000001, - 13.149687150000004, + 13.1675859, + 13.15108575, + 13.108744799999998, + 13.112474399999998, + 13.14945405, + 13.14968715, 13.1310891, - 13.100802750000001, - 13.115637900000003, - 13.08581775, - 13.05025335, - 13.031005950000003, + 13.10080275, + 13.1156379, + 13.085817749999999, + 13.050253349999998, + 13.03100595, 13.003383600000001, - 12.972031650000002, - 12.941595450000001, - 12.94332705, - 12.919201200000002, - 12.878025750000003, + 12.97203165, + 12.94159545, + 12.943327049999999, + 12.9192012, + 12.87802575, 12.84808905, - 12.81255795, - 12.789714150000004, - 12.794093100000001, + 12.812557949999999, + 12.78971415, + 12.7940931, 12.810959550000002, - 12.796890300000001, + 12.7968903, 12.750936300000001, - 12.734069850000001, - 12.733353900000003, - 12.7165041, + 12.73406985, + 12.7333539, + 12.716504100000002, 12.6954585, 12.65055345, - 12.620050650000001, + 12.62005065, 12.5876331, 12.5475066, - 12.529208250000002, + 12.52920825, 12.529441349999999, 12.5268273, - 12.522381750000001, - 12.51795285, + 12.52238175, + 12.517952849999999, 12.47746005, - 12.435685200000002, - 12.402418500000001, - 12.371083200000001, - 12.330840150000002, + 12.4356852, + 12.4024185, + 12.3710832, + 12.33084015, 12.295026000000002, 12.25461645, - 12.224313450000002, + 12.22431345, 12.215172599999999, - 12.200154300000001, - 12.176294850000001, + 12.2001543, + 12.17629485, 12.1738473, 12.1002543, - 12.03969825, - 12.030557400000001, + 12.039698249999999, + 12.0305574, 12.004050600000001, - 11.958096600000001, - 11.9078136, + 11.9580966, + 11.907813599999999, 11.86087725, 11.819951549999999, - 11.768486400000002, - 11.738383200000001, - 11.733138450000002, + 11.7684864, + 11.7383832, + 11.733138449999998, 11.67502995, - 11.646358650000003, - 11.640531150000001, + 11.64635865, + 11.64053115, 11.6075475, - 11.580824250000001, + 11.58082425, 11.54762415, 11.519069400000001, 11.4914637, - 11.453335200000001, + 11.4533352, 11.432889, - 11.379276000000003, - 11.357597700000003, + 11.379276, + 11.3575977, 11.3218335, - 11.289366000000001, - 11.281973400000002, - 11.243145599999998, - 11.192829300000001, + 11.289366, + 11.2819734, + 11.2431456, + 11.1928293, 11.1456432, 11.069352900000002, - 10.99910655, + 10.999106549999999, 10.9637586, - 10.933688700000001, - 10.889599500000001, - 10.8549675, + 10.9336887, + 10.8895995, + 10.854967499999999, 10.816489350000001, - 10.761511050000001, - 10.724198400000002, - 10.6772787, + 10.76151105, + 10.7241984, + 10.677278699999999, 10.6335891, - 10.589100300000002, - 10.524598200000003, - 10.476413100000002, - 10.4329899, - 10.3684878, - 10.333372950000003, - 10.278794250000002, + 10.589100299999998, + 10.524598199999998, + 10.4764131, + 10.432989899999999, + 10.368487799999999, + 10.333372950000001, + 10.27879425, 10.223649450000002, 10.1837727, - 10.12098555, + 10.120985549999999, 10.07516475, - 10.011145500000001, - 9.951871500000003, + 10.0111455, + 9.951871500000001, 9.8735166, - 9.823633200000002, - 9.764892000000001, + 9.8236332, + 9.764892, 9.70029, - 9.65245455, + 9.652454549999998, 9.6356214, - 9.559880549999999, - 9.513210600000003, - 9.43896825, + 9.55988055, + 9.5132106, + 9.438968249999999, 9.3941964, - 9.354153150000002, - 9.267806250000001, + 9.35415315, + 9.26780625, 9.2511729, - 9.194446350000002, + 9.19444635, 9.1446129, 9.09741015, 9.006834150000001, - 8.9201043, + 8.920104299999998, 8.8911333, 8.855918549999998, 8.7831081, - 8.726065200000003, - 8.650324350000002, + 8.726065199999999, + 8.65032435, 8.61299505, 8.5696218, 8.5240674, 8.4593655, 8.40253905, - 8.334873450000002, - 8.303504850000001, + 8.33487345, + 8.30350485, 8.2126458, 8.1720198, 8.09781075, 8.0317269, - 7.9611142500000005, - 7.8999588, - 7.840534950000001, - 7.780295250000001, + 7.96111425, + 7.899958799999999, + 7.8405349499999994, + 7.78029525, 7.72614945, 7.66018215, - 7.602656400000001, - 7.269714766666666, + 7.6026564, + 7.269714766666667, 7.384967133333333, 7.450352766666667, - 7.511679866666667, - 7.5796104, + 7.511679866666666, + 7.579610399999999, 7.642600833333334, 7.7195799, 7.796193033333334, @@ -56809,63 +56748,63 @@ 8.6954742, 8.7106937, 8.789119866666665, - 8.866248633333331, + 8.866248633333333, 8.959528366666666, - 8.996188233333333, + 8.996188233333331, 9.063054233333334, 9.113918966666667, 9.207132166666666, 9.260026166666668, 9.349596666666667, 9.4163795, - 9.473365299999998, - 9.527107599999999, + 9.473365300000001, + 9.5271076, 9.566844633333332, 9.623680733333334, 9.674146266666666, 9.7060989, - 9.733111433333333, + 9.733111433333335, 9.787901633333332, 9.875076933333334, 9.928686166666665, 9.968689333333336, - 10.0116366, + 10.011636600000001, 10.065146033333333, 10.095252366666667, 10.142158366666667, 10.2034522, 10.2472644, - 10.277853099999998, + 10.2778531, 10.324809, 10.381412233333332, 10.3674735, 10.5088901, 10.558074866666667, 10.592805266666666, - 10.641457766666665, + 10.641457766666667, 10.686251333333333, 10.739910466666666, 10.778832466666666, 10.8214138, 10.87321, 10.923609, - 10.963096533333331, + 10.963096533333333, 11.003748400000001, - 10.996862199999999, + 10.9968622, 11.0873808, 11.111648833333334, 11.147526933333333, - 11.167187533333331, + 11.167187533333333, 11.222842666666669, - 11.229263133333333, - 11.290240933333333, - 11.2937173, + 11.229263133333331, + 11.290240933333335, + 11.293717299999999, 11.337113666666665, 11.368467500000001, 11.3994055, - 11.421012199999998, + 11.4210122, 11.484485000000001, - 11.530792199999999, + 11.5307922, 11.561863266666666, 11.580825266666666, 11.622757900000002, @@ -56876,21 +56815,21 @@ 11.842550766666667, 11.884566566666669, 11.935580999999999, - 11.981888199999998, + 11.9818882, 12.034050333333333, - 12.098354800000003, - 12.1499514, - 12.203061633333334, + 12.098354800000001, + 12.149951399999999, + 12.203061633333332, 12.254525166666667, 12.284598233333332, - 12.319578133333334, + 12.319578133333332, 12.345027133333334, 12.3764974, 12.402262433333332, 12.428210433333334, 12.455904933333333, 12.461643433333334, - 12.557900533333333, + 12.557900533333335, 12.611044033333334, 12.656303333333334, 12.6683625, @@ -56908,70 +56847,70 @@ 13.053590499999999, 13.090217099999998, 13.085060766666667, - 13.131417866666665, - 13.142562199999997, + 13.131417866666666, + 13.142562199999999, 13.160792333333333, 13.1788894, - 13.201078266666665, - 13.2238493, + 13.201078266666666, + 13.223849299999998, 13.2296876, 13.2574819, 13.274531066666666, 13.287455166666666, 13.2911145, - 13.3194078, - 13.34992996666667, - 13.362987133333334, + 13.319407799999999, + 13.349929966666666, + 13.362987133333332, 13.407963666666667, - 13.453888300000001, + 13.4538883, 13.475079166666665, - 13.481765766666665, + 13.481765766666667, 13.483445733333333, 13.477357933333332, 13.472584166666666, 13.484992633333333, - 13.508063066666667, + 13.508063066666665, 13.562986333333333, 13.573298999999999, 13.569140666666666, 13.5853249, 13.5997959, 13.608994133333335, - 13.635790433333332, + 13.635790433333334, 13.6362728, - 13.643092466666669, + 13.643092466666667, 13.656698533333332, 13.6354245, - 13.635357966666668, - 13.5953548, - 13.611988133333336, - 13.602357433333333, + 13.635357966666666, + 13.595354799999999, + 13.611988133333334, + 13.602357433333335, 13.6340273, 13.665780333333332, 13.682064366666665, 13.692742966666666, 13.7754938, - 13.735340933333331, + 13.735340933333333, 13.744073433333334, - 13.789216300000001, + 13.7892163, 13.693508099999999, 13.698464833333333, 13.793141766666665, - 13.797000699999998, + 13.7970007, 13.804269466666666, 13.813051866666665, 13.852622566666666, - 13.887203266666665, + 13.887203266666667, 13.919970933333332, 13.925110633333334, 13.947598900000001, - 13.961787133333335, - 13.95559953333333, + 13.961787133333333, + 13.955599533333332, 13.979268766666666, 13.966477733333333, 14.037036333333333, - 14.047282466666669, - 14.069371533333333, + 14.047282466666667, + 14.069371533333335, 14.080116666666667, 14.0944546, 14.097132566666666, @@ -56981,75 +56920,75 @@ 14.1032869, 14.1126681, 14.119787166666667, - 14.11927153333333, - 14.098513133333336, + 14.119271533333333, + 14.098513133333334, 14.131047933333333, - 14.141959400000001, + 14.1419594, 14.150808333333332, 14.102405333333333, 14.116260899999999, 14.128852333333333, 14.120702, - 14.161902766666664, + 14.161902766666666, 14.134990033333333, 14.132295433333333, - 14.111653466666668, - 14.063034233333333, - 14.077854533333332, + 14.111653466666667, + 14.063034233333331, + 14.077854533333333, 14.100359433333333, - 14.120153099999998, + 14.120153100000001, 14.1746938, 14.187102266666667, 14.2265399, 14.258026800000001, - 14.244803300000001, + 14.2448033, 14.243389466666667, 14.245086066666666, 14.209840033333332, 14.2288353, - 14.280332099999997, + 14.2803321, 14.303618766666666, 14.270718033333333, - 14.263266300000002, + 14.2632663, 14.246250400000001, 14.264913, - 14.265145866666666, - 14.274859733333335, + 14.265145866666668, + 14.274859733333333, 14.272414633333334, - 14.2627174, + 14.262717399999998, 14.2391646, 14.223030266666665, 14.206263866666665, 14.184856766666666, 14.183659166666667, - 14.173363133333336, - 14.186852766666666, + 14.173363133333334, + 14.186852766666668, 14.226706233333331, 14.2158114, - 14.165678533333331, + 14.165678533333333, 14.156397133333334, - 14.171167533333332, - 14.190761599999998, + 14.171167533333334, + 14.1907616, 14.183941933333333, 14.172365133333335, 14.162484933333333, - 14.111453866666665, - 13.940413300000001, + 14.111453866666666, + 13.9404133, 14.106380699999999, 14.0718499, 14.0294848, - 14.019388366666666, + 14.019388366666668, 14.005749033333332, 14.0324289, - 14.0192054, + 14.019205399999999, 13.999677866666667, 13.966827033333331, 13.9427586, 13.875044299999999, - 13.930765966666668, - 13.919871133333336, + 13.930765966666666, + 13.919871133333332, 13.882113466666667, - 13.885040933333332, + 13.885040933333334, 13.854901333333332, 13.830616666666666, 13.8175595, @@ -57058,20 +56997,20 @@ 13.771418633333333, 13.753887099999998, 13.752805933333333, - 13.692959199999999, + 13.6929592, 13.716844666666667, 13.682446933333333, - 13.656365866666663, - 13.5808339, - 13.564050866666665, + 13.656365866666667, + 13.580833899999998, + 13.564050866666667, 13.6111731, 13.605401333333333, 13.588634933333333, - 13.552440800000001, - 13.515198766666664, - 13.464284133333335, - 13.501875466666668, - 13.482863566666667, + 13.5524408, + 13.515198766666666, + 13.464284133333333, + 13.501875466666666, + 13.482863566666666, 13.452857033333332, 13.407364866666665, 13.3979504, @@ -57080,50 +57019,50 @@ 13.326293999999999, 13.275229666666666, 13.226427466666665, - 13.179222066666668, + 13.179222066666666, 13.154588099999998, 13.116464500000001, - 13.094441966666668, + 13.094441966666666, 13.073134666666668, - 13.059262466666668, + 13.059262466666667, 13.025164133333334, - 12.963171699999998, + 12.9631717, 12.902676266666667, 12.8364756, 12.801545599999999, - 12.780271566666668, + 12.780271566666666, 12.736592433333332, - 12.707550633333335, + 12.707550633333334, 12.697055, 12.649566833333333, 12.6286421, 12.6025444, - 12.5584328, - 12.491699866666664, + 12.558432799999999, + 12.491699866666666, 12.472205599999999, 12.470509, 12.4183635, 12.386660366666666, - 12.351713733333334, + 12.351713733333332, 12.320942066666667, - 12.294212300000002, + 12.2942123, 12.2890227, - 12.2168673, + 12.216867299999999, 12.177546099999999, - 12.155157633333335, - 12.094778633333334, + 12.155157633333332, + 12.094778633333332, 12.073920433333333, 12.026665133333333, - 11.964040633333333, - 11.91394103333333, - 11.874386966666668, + 11.964040633333331, + 11.913941033333334, + 11.874386966666666, 11.829510233333334, 11.8235056, - 11.781157133333334, + 11.781157133333332, 11.739723499999998, - 11.709966466666668, - 11.667751066666668, - 11.618449866666664, + 11.709966466666666, + 11.667751066666666, + 11.618449866666666, 11.5901732, 11.571976333333334, 11.538476800000002, @@ -57132,47 +57071,47 @@ 11.4446149, 11.404961033333333, 11.348840166666665, - 11.299954800000002, - 11.2757533, + 11.2999548, + 11.275753299999998, 11.2495558, 11.171928033333334, 11.108654833333334, 11.073475333333333, 11.0364329, - 11.007174866666666, - 10.957391300000001, + 11.007174866666668, + 10.957391299999998, 10.903782066666668, - 10.8567929, + 10.856792899999999, 10.780213033333334, - 10.730945099999998, - 10.67199656666667, + 10.7309451, + 10.671996566666667, 10.651321333333334, 10.596364800000002, 10.549874633333333, 10.497679233333335, 10.4436708, - 10.340460966666665, + 10.340460966666667, 10.3112362, 10.243571800000002, 10.1814463, 10.123845066666666, - 10.0664767, - 10.020352466666665, + 10.066476699999999, + 10.020352466666669, 9.957545, - 9.928469933333332, + 9.928469933333334, 9.845852166666667, 9.785290199999999, 9.706681066666667, 9.663983299999998, 9.598847166666667, - 9.539582599999997, + 9.5395826, 9.450161799999998, 9.4262098, - 9.363186099999998, + 9.3631861, 9.275145866666668, 9.2390349, 9.1744144, - 9.1354924, + 9.135492399999999, 9.0795545, 8.988453733333333, 8.9170801, @@ -57187,17 +57126,17 @@ 8.409148, 8.325083133333333, 8.228277133333332, - 8.182718433333331, + 8.182718433333333, 8.139371966666667, 8.039655133333333, 7.972523, 7.915221166666667, 7.844462966666667, - 7.776349466666666, + 7.776349466666667, 7.720710966666666, 7.6662867, 7.158027966666666, - 7.2486718833333335, + 7.248671883333333, 7.324327566666667, 7.384546366666667, 7.44813835, @@ -57206,15 +57145,15 @@ 7.667893766666667, 7.755746083333333, 7.8175600833333325, - 7.885472399999999, + 7.8854724, 7.922743583333333, 7.999545816666666, 8.0944436, 8.152701633333333, 8.225532483333334, - 8.283707433333333, + 8.283707433333332, 8.319300333333334, - 8.345454966666667, + 8.345454966666665, 8.462752016666666, 8.533389466666668, 8.607117616666667, @@ -57227,7 +57166,7 @@ 9.037821616666665, 9.068080566666666, 9.118994033333333, - 9.217397933333334, + 9.217397933333332, 9.274692199999999, 9.3403945, 9.383348583333335, @@ -57235,15 +57174,15 @@ 9.492918883333331, 9.542752266666668, 9.6030043, - 9.639378183333333, + 9.639378183333331, 9.703933933333333, 9.7647177, 9.8355047, 9.875118833333332, 9.850725566666666, - 9.939458566666666, + 9.939458566666667, 10.0484639, - 10.080534066666665, + 10.080534066666667, 10.137612316666667, 10.1819622, 10.2130686, @@ -57253,7 +57192,7 @@ 10.332824916666667, 10.442212433333333, 10.500387383333333, - 10.545634566666667, + 10.545634566666669, 10.565624416666665, 10.6428753, 10.678783916666667, @@ -57263,7 +57202,7 @@ 10.844385616666667, 10.911633266666666, 10.946528266666666, - 10.998754450000002, + 10.99875445, 11.051379433333333, 11.088102266666667, 11.131820716666665, @@ -57275,26 +57214,26 @@ 11.354500666666667, 11.365151950000001, 11.435922333333334, - 11.469504616666667, + 11.469504616666665, 11.5247218, 11.566462866666667, 11.6013911, 11.635355566666666, 11.716079333333335, - 11.749694850000001, + 11.74969485, 11.775949183333333, - 11.825284066666665, + 11.825284066666667, 11.858932816666666, - 11.89136855, + 11.891368550000001, 11.925731816666666, 11.9421657, - 11.976994233333333, + 11.976994233333334, 12.0201311, 12.061789083333334, 12.10333075, - 12.1403693, - 12.189787266666666, - 12.212635183333335, + 12.140369300000001, + 12.189787266666665, + 12.212635183333333, 12.249906366666666, 12.294339333333333, 12.32855305, @@ -57305,7 +57244,7 @@ 12.4939055, 12.510920966666667, 12.492293683333335, - 12.5142443, + 12.514244300000001, 12.571156383333332, 12.63293715, 12.6989884, @@ -57316,33 +57255,33 @@ 12.848056516666666, 12.879943899999999, 12.897507716666667, - 12.923213700000002, + 12.9232137, 12.905982216666667, 13.003405733333333, - 13.013458816666665, - 13.047921783333335, - 13.074890633333332, + 13.013458816666667, + 13.047921783333333, + 13.074890633333334, 13.1154353, 13.160233833333333, - 13.200313233333333, - 13.243034683333333, - 13.247703966666664, + 13.200313233333334, + 13.243034683333331, + 13.247703966666668, 13.256693583333332, 13.354615599999999, 13.360963166666668, 13.400560683333334, 13.43711735, - 13.433112733333331, + 13.433112733333333, 13.456592083333334, 13.325902, 13.236537566666668, 13.2499306, 13.3910061, 13.526814116666667, - 13.443331983333332, + 13.443331983333334, 13.425336133333333, 13.633410033333332, - 13.578043299999997, + 13.5780433, 13.483710483333333, 13.308205249999999, 13.387566450000001, @@ -57354,37 +57293,37 @@ 13.61577975, 13.728257966666666, 13.855126216666665, - 13.877309466666665, + 13.877309466666667, 13.791783483333331, 13.667008933333335, - 13.783342216666664, - 13.829503316666665, - 13.962469883333332, + 13.783342216666666, + 13.829503316666667, + 13.962469883333334, 13.715147416666667, 13.724369666666668, 13.896451866666668, 13.9654775, - 14.14857655, - 14.244953216666664, + 14.148576550000001, + 14.244953216666666, 14.260755666666666, 14.28825625, - 14.327405116666668, + 14.327405116666666, 14.293905916666667, 14.292161166666666, 14.288638433333333, 14.238323166666667, 14.325178483333334, 14.3350654, - 14.333636366666669, - 14.341662216666666, + 14.333636366666667, + 14.341662216666668, 14.387058950000002, 14.353543133333332, 14.431707933333335, 14.3340684, - 14.228369783333335, + 14.228369783333333, 14.214478249999997, 14.199057983333331, - 14.036580216666666, + 14.036580216666668, 13.714000866666666, 13.34997955, 13.582695966666668, @@ -57394,42 +57333,42 @@ 13.479257216666666, 13.216099066666665, 12.931422333333334, - 13.256394483333333, - 13.587996683333333, + 13.256394483333334, + 13.587996683333332, 13.755160349999999, 13.603749283333334, 13.802135666666667, 13.8787385, 14.151717099999999, - 14.138889033333335, + 14.138889033333333, 13.981944616666667, 14.034287116666667, 14.073735083333334, 13.838675716666666, - 13.764316133333331, - 12.117421683333335, - 11.513040283333336, + 13.764316133333333, + 12.117421683333333, + 11.513040283333334, 12.081513066666668, 12.895114916666666, 11.97671175, 12.259078766666669, 12.852659333333333, 13.302887916666666, - 14.388355049999998, + 14.38835505, 14.505170216666667, - 14.476656016666666, + 14.476656016666665, 12.371889316666666, - 12.840263299999998, + 12.8402633, 12.587839516666666, 13.300395416666666, - 12.565955366666667, - 13.559482483333333, + 12.565955366666666, + 13.559482483333335, 13.167960583333333, 12.930940450000001, 13.199665183333334, - 13.360032633333331, - 13.062428133333333, - 12.892356549999997, + 13.360032633333333, + 13.062428133333334, + 12.892356549999999, 12.094390983333334, 11.921112383333334, 11.610131466666667, @@ -57440,21 +57379,21 @@ 11.485506466666665, 11.7577207, 11.602803516666667, - 11.673141866666668, + 11.673141866666667, 12.2188332, 12.692391583333333, - 11.856008283333335, + 11.856008283333333, 12.406368899999999, - 11.986864533333335, + 11.986864533333332, 11.4665967, 11.058258733333332, 11.2236278, 12.832303916666666, 12.754488066666665, 12.662930233333332, - 13.149482850000002, + 13.14948285, 13.022448433333333, - 12.892140533333334, + 12.892140533333333, 13.026918316666666, 12.401716233333334, 13.160200600000001, @@ -57462,12 +57401,12 @@ 12.375977016666667, 12.435448066666664, 11.864050749999999, - 11.764616616666668, + 11.764616616666666, 11.8444597, 11.722077950000001, 10.767633233333333, - 10.876306233333333, - 11.664800299999998, + 10.876306233333334, + 11.6648003, 12.35128465, 12.372986016666667, 12.368998016666668, @@ -57476,7 +57415,7 @@ 13.379324583333332, 13.022182566666666, 11.795540233333332, - 11.374640066666666, + 11.374640066666668, 9.63236595, 9.574240849999999, 11.41091425, @@ -57487,7 +57426,7 @@ 10.93225455, 8.575346549999999, 9.5274317, - 11.04212395, + 11.042123949999999, 11.040528749999998, 10.42677555, 10.193361233333333, @@ -57497,39 +57436,39 @@ 9.698001783333332, 9.001746833333334, 8.341932233333333, - 8.5156761, + 8.515676099999999, 9.167032816666667, 8.833486466666667, 8.244874283333333, 8.187297533333334, 7.711462666666666, 7.33258605, - 7.809866566666666, + 7.809866566666667, 8.062672533333334, 8.447265283333333, 8.22709445, 7.931899366666667, - 8.270995683333334, - 8.092100649999999, - 8.089275816666666, + 8.270995683333332, + 8.09210065, + 8.089275816666667, 7.578363166666667, - 7.3921568, + 7.3921567999999995, 8.02659775, 8.618051383333333, 9.138618316666665, 9.563107683333333, 10.448460299999999, - 11.859913200000001, + 11.8599132, 11.614966916666667, 11.294348333333335, 11.456310983333333, - 11.183365616666668, + 11.183365616666666, 10.749138883333334, 10.07383755, - 9.603203699999998, + 9.6032037, 9.454501149999999, 9.604416716666666, - 9.483264600000002, + 9.483264599999998, 9.447389216666666, 9.673276183333334, 10.200456550000002, @@ -57539,13 +57478,13 @@ 10.896927516666667, 10.650618666666668, 10.017590133333334, - 10.593889366666666, + 10.593889366666668, 10.426094266666666, - 10.457582850000001, + 10.45758285, 10.754705466666667, 10.5121686, 9.9374978, - 10.103465066666665, + 10.103465066666667, 10.001621516666667, 9.611163083333333, 9.207295, @@ -57553,18 +57492,18 @@ 9.247723350000001, 8.735979866666666, 8.4292362, - 8.530946816666665, + 8.530946816666667, 8.753344283333332, - 9.121935183333335, - 8.464313983333332, + 9.121935183333333, + 8.464313983333334, 8.0233575, 7.341243333333334, - 7.553620949999999, + 7.55362095, 7.418344666666667, 7.2535028, 7.6190846, 7.4995978, - 7.789815599999999, + 7.7898156, 8.0289386, 8.2338324, 8.7197808, @@ -57572,26 +57511,26 @@ 9.1558462, 9.409494200000001, 9.6553568, - 9.652617800000002, + 9.6526178, 9.7976686, 9.848863, 9.763704999999998, 9.742241199999999, 9.680920799999999, - 9.998196599999998, + 9.9981966, 10.146418, 10.2625516, 10.1930308, 10.3270592, - 10.3207678, + 10.320767799999999, 10.237950399999999, 10.4174296, 10.3456014, 10.371812799999999, 10.5680248, 10.628399, - 10.5807902, - 10.4593778, + 10.580790200000001, + 10.459377799999999, 10.4717946, 10.513776, 10.7349212, @@ -57600,20 +57539,20 @@ 10.677203, 10.860533400000001, 11.006447399999999, - 11.0374396, + 11.037439599999999, 11.081579000000001, 11.133404200000001, 11.169393, 11.1965008, - 11.217184399999999, + 11.2171844, 11.2583856, - 11.325333399999998, + 11.3253334, 11.3564418, 11.3938748, - 11.403884600000001, + 11.4038846, 11.4427784, 11.5022728, - 11.534858600000002, + 11.5348586, 11.568805600000001, 11.6146548, 11.641679600000002, @@ -57623,8 +57562,8 @@ 11.8145022, 11.8571144, 11.8854008, - 11.955884399999999, - 12.022566600000001, + 11.9558844, + 12.0225666, 12.018234, 11.793121399999999, 11.9444968, @@ -57632,68 +57571,68 @@ 12.268313, 12.284248999999999, 12.32052, - 12.304650399999998, + 12.3046504, 12.147099800000001, - 12.244259600000001, + 12.2442596, 12.3339992, 12.370768199999999, 12.411903, 12.4777718, - 12.464508399999998, + 12.4645084, 12.503037, - 12.545599399999997, + 12.545599399999999, 12.5711634, 12.5714954, 12.62928, 12.6214282, 12.681470399999998, - 12.734457600000002, - 12.788457399999999, + 12.734457599999999, + 12.7884574, 12.832629999999998, 12.6918454, 12.006199, 12.2453884, 12.353387999999999, 11.8199802, - 12.557385399999998, - 11.705307399999999, + 12.5573854, + 11.7053074, 9.052643999999999, 9.924824599999999, 11.7392876, - 12.595864199999998, + 12.5958642, 13.271019399999998, 13.235927, 12.2063618, 12.4464144, 12.727469, - 13.0228826, + 13.022882599999999, 13.3495872, 13.3330536, - 13.342615199999997, + 13.3426152, 13.3518282, - 13.126433399999998, + 13.1264334, 12.195272999999998, - 13.279983399999997, - 13.431209399999998, + 13.279983399999999, + 13.4312094, 13.376379600000002, - 13.2964174, + 13.296417400000001, 13.4107582, 13.490404999999997, 13.518542, 13.554796399999999, 13.542728199999999, 13.495252199999998, - 13.457935399999998, + 13.4579354, 13.4488884, 13.443593, 13.397976199999999, - 13.319790199999998, + 13.3197902, 13.291869, 13.21858, 13.3911038, 13.5552114, 13.285295399999999, - 13.616465399999997, + 13.616465400000001, 13.6525538, 13.663958000000001, 13.668191, @@ -57701,36 +57640,36 @@ 13.601542, 13.3026258, 13.3853436, - 13.145523399999998, - 12.9604666, + 13.1455234, + 12.960466599999998, 13.2248548, - 13.5108562, + 13.510856200000001, 13.560672799999999, 13.5128814, 13.557668199999998, 13.5968276, 13.6255456, - 13.747489199999999, + 13.7474892, 13.7522866, 13.7573662, - 13.8294268, + 13.829426799999998, 13.74812, 13.6855546, 13.539408199999999, - 13.4683104, - 13.5764428, + 13.468310400000002, + 13.576442799999999, 13.8081456, 13.9612474, 14.097218, - 13.448440199999999, + 13.4484402, 13.6234208, - 13.9665926, - 14.048098600000001, + 13.966592599999998, + 14.0480986, 14.0758372, 13.9074302, 13.933625000000001, 14.0300046, - 14.185397199999997, + 14.185397199999999, 14.220871399999998, 14.184484199999998, 14.2643634, @@ -57740,19 +57679,19 @@ 14.245788, 14.0096364, 13.6361862, - 13.007660399999999, - 13.0200274, + 13.0076604, + 13.020027400000002, 12.884405399999999, 12.777816800000002, 12.763192199999999, 11.630292, 10.569054000000001, - 11.526475600000001, + 11.5264756, 11.8003092, - 11.0933152, + 11.093315200000001, 11.9173558, - 11.7377438, - 12.203008600000002, + 11.737743799999999, + 12.2030086, 10.8180706, 12.9923718, 10.7059542, @@ -57770,10 +57709,10 @@ 10.851586000000001, 10.412233800000001, 11.972501, - 11.9619268, + 11.961926799999999, 12.8122452, 14.0114126, - 13.695182600000003, + 13.6951826, 12.3849944, 12.679827, 12.426228799999999, @@ -57781,23 +57720,23 @@ 12.4091474, 13.1201918, 12.9437172, - 12.641265199999998, + 12.6412652, 12.956947399999999, - 12.694999399999999, + 12.6949994, 12.3745364, 12.2622208, 11.2906228, - 12.265142399999998, + 12.2651424, 13.97139, 14.416286600000001, - 14.6221598, + 14.622159799999999, 14.638112399999999, 14.581921399999999, 14.419673, 13.353438399999998, - 12.8531642, + 12.853164200000002, 13.032195199999999, - 13.8645358, + 13.864535799999999, 14.192950199999999, 14.099708, 13.658861799999999, @@ -57809,35 +57748,35 @@ 13.679893999999999, 14.0834068, 14.008906, - 14.120690399999999, + 14.1206904, 13.889402599999999, 13.780838600000001, 13.245438799999999, 13.3658552, 13.915365, - 13.585556199999997, - 13.722672199999998, + 13.5855562, + 13.7226722, 13.112555799999999, - 13.155898399999996, + 13.155898399999998, 13.23601, 13.325782799999999, - 13.515006199999998, + 13.5150062, 13.4487556, - 13.043732199999999, + 13.0437322, 13.0586058, 13.122980600000002, 12.867905, 12.8765204, 12.97124, 12.2558796, - 11.9974674, + 11.997467400000001, 12.1509012, - 11.734440399999997, + 11.7344404, 12.0174704, - 12.057891399999997, + 12.057891399999999, 11.886928000000001, 11.6360522, - 11.0105476, + 11.010547599999999, 10.5035172, 10.853860199999998, 11.0027788, @@ -57845,10 +57784,10 @@ 8.020854400000001, 6.9166888, 7.035329, - 8.414174800000001, + 8.4141748, 8.1353446, 7.736977800000001, - 9.9468694, + 9.946869399999999, 10.631470000000002, 11.353619799999999, 11.0913564, @@ -57865,19 +57804,19 @@ 10.1490408, 10.4058262, 10.738905200000001, - 10.7871614, + 10.787161399999999, 10.7213092, 10.2387804, 9.464489999999998, - 9.9283438, + 9.928343799999999, 10.2493878, - 10.2664194, + 10.266419399999998, 9.811197599999998, 9.696724, 9.984402, 10.0059986, 9.569319, - 9.9758364, + 9.975836399999999, 10.011094799999999, 10.0732286, 5.8539734, @@ -57887,10 +57826,10 @@ 8.347326599999999, 8.416648200000001, 8.072115199999999, - 7.6808698, + 7.680869799999999, 7.553996, 7.735450599999999, - 7.796555199999999, + 7.7965552, 8.2761624, 8.6207452, 8.22198, @@ -57911,7 +57850,7 @@ 8.4145732, 8.0865904, 7.722486, - 7.5115498, + 7.511549799999999, 7.5469244, 7.830137, 7.785151, @@ -57919,12 +57858,12 @@ 7.658260599999999, 7.5399192, 7.5068188000000005, - 7.399417, + 7.399417000000001, 7.978042666666667, 8.2104415, - 8.590614416666664, + 8.590614416666666, 9.126902833333332, - 9.690520583333333, + 9.690520583333331, 9.56319375, 8.458428666666666, 9.747036583333333, @@ -57932,18 +57871,18 @@ 10.272114666666665, 10.564512, 10.74634825, - 10.882994916666668, - 11.04285825, + 10.882994916666666, + 11.042858249999998, 9.80945625, 11.278656666666667, 11.95895475, - 12.151885249999998, + 12.15188525, 12.351250083333332, 11.696440583333333, 10.423785833333335, 8.962180583333332, 7.93726425, - 8.404566, + 8.404565999999999, 8.019782916666667, 8.59754625, 9.183684166666666, @@ -57958,7 +57897,7 @@ 9.203683666666667, 8.558193999999999, 8.1513385, - 7.89646925, + 7.896469249999999, 7.915158666666667, 8.1589005, 8.5256575, @@ -57970,20 +57909,20 @@ 7.613905833333333, 7.32046375, 7.418603916666667, - 7.634850583333334, + 7.634850583333333, 7.3087393333333335, - 7.435436, + 7.435435999999999, 7.65587825, - 7.572066083333333, - 7.7442176666666676, + 7.5720660833333335, + 7.744217666666667, 7.650886666666667, 7.592728916666666, 7.6410859166666665, 7.5959295, - 7.403596, + 7.403595999999999, 7.321226583333333, 7.2883915833333335, - 7.887563999999999, + 7.887564, 7.749491166666666, 8.08014625, 8.149066583333333, @@ -57992,418 +57931,418 @@ 7.587554916666666, 7.596858166666666, 7.486744833333333, - 7.176862233333335, + 7.176862233333334, 7.223331733333333, 7.3070927999999995, - 7.377915300000001, - 7.413964366666668, - 7.452614400000001, - 7.546911866666667, + 7.3779153, + 7.413964366666667, + 7.4526144, + 7.546911866666666, 7.5732363000000005, - 7.647272733333335, - 7.718708200000001, - 7.717581666666668, - 7.808549233333334, - 7.930860933333334, - 8.009055600000002, - 8.047142366666668, + 7.647272733333334, + 7.7187082, + 7.717581666666667, + 7.808549233333333, + 7.930860933333333, + 8.0090556, + 8.047142366666666, 8.121046266666667, - 8.185639700000001, - 8.223096933333334, - 8.305665200000002, + 8.1856397, + 8.223096933333332, + 8.3056652, 8.372644233333332, - 8.431605000000001, - 8.460596666666667, - 8.551315733333333, + 8.431605, + 8.460596666666666, + 8.551315733333334, 8.602639266666667, - 8.643111633333334, - 8.7073903, - 8.776904033333334, + 8.643111633333332, + 8.707390299999998, + 8.776904033333333, 8.837256400000001, 8.900309133333334, - 8.936805500000002, - 8.968961400000001, + 8.9368055, + 8.968961399999998, 9.032047266666666, - 9.103035433333336, - 9.160588033333335, + 9.103035433333334, + 9.160588033333333, 9.201292333333333, 9.2406713, 9.303740600000001, 9.381090366666667, - 9.464238466666666, + 9.464238466666668, 9.522934166666667, 9.570066333333333, 9.628149066666666, 9.684657966666666, - 9.771980866666668, - 9.820637166666668, + 9.771980866666667, + 9.820637166666666, 9.875058666666668, 9.920434766666666, - 9.966307866666668, - 10.0052561, - 10.090955466666667, - 10.1288103, - 10.191664233333336, - 10.242209133333333, - 10.282648366666669, - 10.334336366666667, - 10.397372533333336, - 10.448099666666668, - 10.514747366666667, - 10.573476200000002, - 10.635998800000001, + 9.966307866666666, + 10.005256099999999, + 10.090955466666665, + 10.128810300000001, + 10.191664233333334, + 10.242209133333331, + 10.282648366666667, + 10.334336366666665, + 10.397372533333332, + 10.448099666666664, + 10.514747366666665, + 10.5734762, + 10.6359988, 10.672594566666668, 10.725823266666666, - 10.788693766666668, - 10.826581733333335, + 10.788693766666666, + 10.826581733333333, 10.866325166666666, 10.880241166666668, 10.9359383, 10.967762866666668, 11.024222066666667, - 11.047001233333335, + 11.047001233333333, 11.088351633333334, - 11.134572633333335, - 11.17968366666667, + 11.134572633333333, + 11.179683666666667, 11.223751, 11.244409633333333, - 11.286306733333335, + 11.286306733333333, 11.341374333333334, 11.384646466666666, 11.398015766666667, - 11.390577333333335, - 11.424621833333335, + 11.390577333333333, + 11.424621833333333, 11.470296133333333, 11.491667133333333, 11.522663366666668, - 11.539263166666668, - 11.58876436666667, + 11.539263166666666, + 11.588764366666666, 11.618153633333334, 11.673453166666667, 11.687932433333334, 11.7291006, - 11.744043733333337, - 11.745319366666669, - 11.772289900000002, - 11.864350866666667, + 11.744043733333333, + 11.745319366666667, + 11.7722899, + 11.864350866666665, 11.897152866666667, 11.914547866666666, - 11.9496692, - 11.99207986666667, - 12.064293966666668, - 12.113977400000003, - 12.149678566666669, - 11.885738433333334, - 10.560040633333335, - 11.251781800000002, - 11.401130300000002, - 11.629667466666668, + 11.949669199999999, + 11.992079866666668, + 12.064293966666666, + 12.113977400000001, + 12.149678566666665, + 11.885738433333332, + 10.560040633333333, + 11.2517818, + 11.4011303, + 11.629667466666666, 11.608926, - 11.699810733333335, + 11.699810733333333, 11.625558933333334, - 11.875781866666669, + 11.875781866666665, 11.353567400000001, - 11.287002533333334, + 11.287002533333332, 11.167059866666667, 10.798186466666667, - 11.630727733333336, - 11.472897100000003, + 11.630727733333334, + 11.4728971, 11.267221933333333, 11.4112691, 11.740167133333333, - 12.123205033333335, + 12.123205033333333, 12.0285431, - 12.533196900000002, + 12.5331969, 12.562437066666668, 12.576469033333334, 12.640813966666666, - 12.859990966666667, - 12.8750335, + 12.859990966666665, + 12.875033499999999, 13.073402766666668, - 12.143466066666669, - 12.302241000000002, + 12.143466066666665, + 12.302241, 13.1463458, - 13.29894136666667, - 13.381343966666668, - 13.280370133333333, + 13.298941366666668, + 13.381343966666666, + 13.280370133333331, 13.010946433333332, 12.9793041, - 13.267680066666669, - 13.262594100000001, - 13.302403800000002, - 13.382006633333333, - 13.384044333333334, + 13.267680066666665, + 13.2625941, + 13.3024038, + 13.382006633333335, + 13.384044333333332, 13.426156800000001, 13.467324966666666, - 13.515699633333334, - 13.549247133333333, - 13.558789533333336, - 13.580077700000002, - 13.592486133333335, + 13.515699633333332, + 13.549247133333331, + 13.558789533333334, + 13.5800777, + 13.592486133333333, 13.580674100000001, - 13.481903633333335, - 13.391068600000002, - 13.304789400000002, - 13.303828533333334, - 13.070387633333334, + 13.481903633333333, + 13.391068599999999, + 13.3047894, + 13.303828533333332, + 13.070387633333333, 13.005661666666667, - 12.788505800000001, - 12.774092800000002, - 12.663245233333335, - 12.383533633333334, - 12.695235466666668, - 12.119162766666669, - 12.445807733333336, - 12.901391066666669, - 13.15530836666667, - 13.315060733333336, + 12.7885058, + 12.7740928, + 12.663245233333333, + 12.383533633333332, + 12.695235466666666, + 12.119162766666667, + 12.445807733333334, + 12.901391066666665, + 13.155308366666667, + 13.315060733333333, 13.187928133333335, - 13.159814500000003, - 13.2249215, - 13.626033633333334, - 13.483311800000001, - 13.324801933333335, - 13.714516200000002, - 13.822315500000002, - 13.761548966666668, - 13.404172833333334, + 13.159814500000001, + 13.224921499999999, + 13.626033633333332, + 13.4833118, + 13.324801933333333, + 13.714516199999998, + 13.8223155, + 13.761548966666666, + 13.404172833333332, 13.6179988, - 13.61433756666667, - 13.701146900000003, + 13.614337566666668, + 13.7011469, 13.647404633333334, - 13.808283533333336, + 13.808283533333334, 13.839693933333333, - 13.802435500000001, + 13.8024355, 13.738952033333334, - 13.7637192, - 13.744203666666667, - 13.723279966666668, - 13.844547966666667, - 13.808946200000003, - 13.81040406666667, + 13.763719199999999, + 13.744203666666666, + 13.723279966666666, + 13.844547966666665, + 13.808946200000001, + 13.810404066666665, 13.749289633333333, - 13.459969366666668, - 13.626911666666668, - 13.698645333333335, - 13.497940166666668, - 13.63198106666667, - 13.69828086666667, - 13.76865606666667, - 13.7888674, - 13.739581566666669, + 13.459969366666666, + 13.626911666666667, + 13.698645333333333, + 13.497940166666666, + 13.631981066666667, + 13.698280866666666, + 13.768656066666667, + 13.788867399999999, + 13.739581566666667, 13.649475466666667, - 13.639966200000003, - 13.6025421, - 13.674524266666667, - 13.64092706666667, - 13.678500266666669, - 13.641440633333335, - 13.587168233333335, - 13.548153733333335, - 13.60737956666667, + 13.6399662, + 13.602542099999999, + 13.674524266666666, + 13.640927066666665, + 13.678500266666667, + 13.641440633333334, + 13.587168233333331, + 13.548153733333333, + 13.607379566666665, 13.6482661, - 13.639469200000002, - 13.633057900000003, + 13.6394692, + 13.633057899999999, 13.642931633333333, - 13.625818266666666, - 13.6344495, + 13.625818266666668, + 13.634449499999999, 13.6301753, - 13.600670066666668, - 13.613708033333335, - 13.507548833333336, - 13.475459200000001, + 13.600670066666666, + 13.613708033333333, + 13.507548833333333, + 13.4754592, 13.406806933333334, - 13.424317900000002, - 13.399732966666669, - 13.282739166666667, - 13.484537733333335, + 13.4243179, + 13.399732966666667, + 13.282739166666666, + 13.484537733333333, 13.434224766666667, - 13.467888233333335, + 13.467888233333333, 13.390157433333334, 13.505478000000002, - 13.568679833333334, - 13.600703200000002, + 13.568679833333332, + 13.6007032, 13.582247933333333, 13.559435633333333, - 13.639634866666666, - 13.660823633333335, + 13.639634866666665, + 13.660823633333333, 13.6278891, - 13.612316433333334, - 13.622819700000003, - 13.637116733333336, + 13.612316433333332, + 13.6228197, + 13.637116733333334, 13.639999333333334, 13.6324118, 13.6002062, - 13.594490700000001, - 13.579166533333336, + 13.5944907, + 13.579166533333334, 13.557182566666667, - 13.546198866666668, - 13.5651677, - 13.512800466666667, + 13.546198866666666, + 13.565167699999998, + 13.512800466666668, 13.517886433333334, - 13.479899066666668, - 13.444728033333334, - 13.4263556, - 13.380283700000001, - 13.383149733333335, + 13.479899066666666, + 13.444728033333332, + 13.426355599999999, + 13.3802837, + 13.383149733333333, 13.354953266666666, 13.2988751, - 13.269038533333335, + 13.269038533333331, 13.218775266666666, 13.193345433333333, 13.1957973, 13.1607588, 13.165414033333333, - 13.168694233333335, - 13.157031300000002, - 13.173332900000002, + 13.168694233333332, + 13.1570313, + 13.1733329, 13.134086466666668, - 13.081040000000002, - 13.054168866666668, - 13.096248200000002, - 13.087186233333336, + 13.08104, + 13.054168866666664, + 13.0962482, + 13.087186233333334, 13.065715833333334, 13.015883299999999, - 13.014193500000003, - 13.028937833333336, - 13.007450866666668, - 12.996434033333337, - 12.92146986666667, - 12.936595233333335, - 12.898806666666669, - 12.854043533333336, - 12.820479466666667, - 12.786633766666666, - 12.778549233333335, - 12.785126200000002, - 12.747039433333335, - 12.738921766666667, - 12.701133200000001, + 13.014193500000001, + 13.028937833333332, + 13.007450866666666, + 12.996434033333335, + 12.921469866666666, + 12.936595233333332, + 12.898806666666667, + 12.854043533333334, + 12.820479466666665, + 12.786633766666665, + 12.778549233333333, + 12.7851262, + 12.747039433333333, + 12.738921766666666, + 12.7011332, 12.6689276, - 12.637997633333335, + 12.637997633333333, 12.594460433333333, - 12.594841466666669, - 12.593300766666667, - 12.582648400000004, - 12.572956900000003, - 12.560349666666667, + 12.594841466666665, + 12.593300766666665, + 12.5826484, + 12.572956900000001, + 12.560349666666665, 12.5424411, - 12.541728733333336, + 12.541728733333334, 12.511312333333334, 12.5011404, 12.479736266666666, - 12.41855556666667, - 12.421156533333336, + 12.418555566666667, + 12.421156533333335, 12.4075056, - 12.376227733333335, - 12.346788766666668, - 12.318410066666669, + 12.376227733333334, + 12.346788766666666, + 12.318410066666667, 12.293377833333333, - 12.292963666666669, - 12.264982566666669, - 12.25722936666667, - 12.27616506666667, + 12.292963666666665, + 12.264982566666667, + 12.257229366666667, + 12.276165066666666, 12.247372200000001, - 12.238310233333335, + 12.238310233333333, 12.205359133333333, 12.186440000000001, 12.1464315, - 12.123089066666669, + 12.123089066666665, 12.091165100000001, 12.045076633333334, - 12.035948400000002, - 12.014743066666668, + 12.035948399999999, + 12.014743066666666, 11.984310099999998, - 11.936796900000001, - 11.895579033333334, - 11.873462533333337, - 11.839716233333334, - 11.796129333333335, - 11.633709733333337, + 11.9367969, + 11.895579033333332, + 11.873462533333333, + 11.839716233333332, + 11.796129333333333, + 11.633709733333331, 11.676932166666667, 11.6862592, 11.6494812, 11.619975966666667, 11.5793545, 11.539213466666666, - 11.499204966666667, - 11.45313306666667, - 11.407375933333334, - 11.3626625, - 11.325486900000001, + 11.499204966666666, + 11.453133066666666, + 11.407375933333332, + 11.362662499999999, + 11.3254869, 11.278835166666667, - 11.240914066666669, + 11.240914066666667, 11.2058093, - 11.167788800000002, - 11.118983400000001, + 11.1677888, + 11.1189834, 11.061397666666668, 11.008931033333335, - 10.987560033333335, - 10.955039666666668, - 10.905886366666667, + 10.987560033333333, + 10.955039666666666, + 10.905886366666666, 10.869207766666667, - 10.833937333333335, - 10.789522100000001, - 10.745670133333334, + 10.833937333333333, + 10.7895221, + 10.745670133333332, 10.704435700000001, - 10.668717966666668, + 10.668717966666666, 10.6215858, 10.568141733333334, 10.5158242, - 10.453102800000002, + 10.4531028, 10.397819833333333, 10.322756266666667, 10.2917766, 10.273520133333333, 10.232964933333333, - 10.175611133333334, - 10.15536666666667, - 10.104473866666668, - 10.052984666666669, - 9.940000000000001, - 9.952441566666668, - 9.896247433333336, - 9.852180100000002, - 9.800276733333336, - 9.742575033333337, - 9.678014733333335, - 9.622350733333334, + 10.175611133333332, + 10.155366666666666, + 10.104473866666666, + 10.052984666666667, + 9.94, + 9.952441566666666, + 9.896247433333334, + 9.8521801, + 9.800276733333334, + 9.742575033333333, + 9.678014733333333, + 9.622350733333333, 9.555437966666666, 9.497554033333333, 9.4349983, - 9.370056966666667, + 9.370056966666665, 9.351982733333333, - 9.29833986666667, + 9.298339866666666, 9.2222823, - 9.167181566666669, + 9.167181566666667, 9.105056566666667, 9.009549733333333, 8.970286733333333, 8.902264, 8.862007, 8.7983413, - 8.750413933333334, - 8.70502126666667, - 8.638986533333336, - 8.578203433333334, - 8.522522866666668, + 8.750413933333332, + 8.705021266666666, + 8.638986533333332, + 8.578203433333332, + 8.522522866666666, 8.447691233333334, - 8.371302333333334, + 8.371302333333333, 8.2971665, - 8.249918366666668, + 8.249918366666666, 8.1822601, 8.1229183, 8.039405733333334, - 7.9617909000000004, - 7.905663033333334, - 7.858431466666667, + 7.9617909, + 7.905663033333332, + 7.858431466666666, 7.771870633333333, - 7.684332366666668, + 7.684332366666667, 7.6623484, - 7.596578733333334, - 7.521747100000001, - 7.458810333333334, - 7.408779, + 7.596578733333333, + 7.5217471, + 7.458810333333333, + 7.408778999999999, 8.022056, 8.843911466666666, 8.515691733333334, @@ -58415,12 +58354,12 @@ 9.669685333333332, 9.670330133333332, 9.706951466666666, - 9.756286933333335, + 9.756286933333334, 9.788559999999999, - 9.872102933333334, + 9.872102933333332, 9.917536533333333, 9.978924799999998, - 10.040147733333331, + 10.040147733333333, 10.093980266666668, 10.130717333333333, 10.189559466666665, @@ -58430,18 +58369,18 @@ 10.659569066666666, 10.763778666666665, 10.974710933333334, - 11.292713066666666, - 11.579103466666664, + 11.292713066666668, + 11.579103466666666, 11.752405866666667, 11.819101333333332, 8.707279999999999, 10.554632, 11.942274666666668, 11.696424, - 11.712031466666666, + 11.712031466666668, 7.070430399999999, 9.067905066666667, - 11.528180799999998, + 11.5281808, 8.935688, 12.272511466666666, 12.525273066666667, @@ -58458,53 +58397,53 @@ 6.961442666666667, 8.238477333333334, 9.621374933333334, - 12.857179733333332, + 12.857179733333334, 16.891445333333333, - 16.589232533333334, - 13.927713066666664, + 16.58923253333333, + 13.927713066666666, 9.4526688, 8.2855808, 15.644203733333333, - 15.423301866666668, + 15.423301866666666, 15.194348266666665, 15.585196266666665, 10.7563552, 8.6213232, - 11.616204266666667, + 11.616204266666665, 7.423136, 8.23608, 10.656295466666666, 13.525424, 17.183986133333335, - 14.336995733333332, + 14.336995733333334, 11.569960533333333, - 10.229322133333335, + 10.229322133333334, 9.007690666666667, 9.035383999999999, - 7.460699733333332, + 7.460699733333333, 11.906992533333334, 10.502072533333333, - 11.180484799999999, - 11.044547733333332, + 11.1804848, + 11.044547733333333, 9.290460266666665, - 9.786427199999999, + 9.7864272, 11.165571733333334, 12.409159466666667, 13.960531733333333, - 14.608952533333335, - 14.417248533333334, + 14.608952533333333, + 14.417248533333332, 9.374730666666666, 9.403978133333334, 8.864330133333334, - 13.468119466666664, - 12.993232533333334, + 13.468119466666666, + 12.993232533333332, 10.534709333333332, - 10.230843199999999, + 10.2308432, 10.824389866666667, - 10.417620266666667, - 11.639450133333332, + 10.417620266666665, + 11.639450133333334, 10.347419733333334, - 10.648690133333334, + 10.648690133333332, 11.2550336, 10.635529600000002, 10.7018448, @@ -58512,7 +58451,7 @@ 8.3273936, 8.960752533333332, 9.395727999999998, - 14.0817376, + 14.081737599999999, 12.787375999999998, 11.935198399999999, 10.9294592, @@ -58527,25 +58466,25 @@ 9.5214289, 9.715136366666666, 12.807469283333333, - 13.8513061, + 13.851306099999999, 10.130514016666666, 10.370385566666668, 13.401672883333333, - 14.204102100000002, + 14.2041021, 14.252875816666666, - 13.927398383333333, + 13.927398383333331, 13.783653833333332, 13.607503583333333, - 13.376204183333334, + 13.376204183333332, 13.209237199999999, - 13.380201216666668, - 12.494329800000001, + 13.380201216666665, + 12.4943298, 10.76754533333333, 9.939168433333332, 8.878633266666668, 8.195949883333334, 7.5436185, - 7.643971499999998, + 7.643971499999999, 7.747360499999999, 7.856607, 7.9455089999999995, @@ -58553,13 +58492,13 @@ 8.169051, 8.2742385, 8.3443305, - 8.420016, + 8.420015999999999, 8.4870885, 8.537198999999998, - 8.6082645, - 8.6527155, + 8.608264499999999, + 8.652715500000001, 8.706274500000001, - 8.771119500000001, + 8.7711195, 8.834693999999999, 8.880927, 8.9749605, @@ -58571,10 +58510,10 @@ 9.3689475, 9.427605, 9.499545000000001, - 9.552807000000001, + 9.552807, 9.5917965, 9.697776000000001, - 9.741632999999998, + 9.741633, 9.802188, 9.8465235, 9.900132, @@ -58591,20 +58530,20 @@ 10.6413615, 10.708401, 10.7533635, - 10.8522645, + 10.852264499999999, 10.93554, 11.018898, - 11.080360499999998, - 11.153769000000002, + 11.080360500000001, + 11.153769, 11.2105455, 11.2382655, 11.2817925, 11.3260125, - 11.380776, + 11.380776000000001, 11.3969955, 11.161309499999998, 11.199077999999998, - 11.403199500000001, + 11.4031995, 11.4857655, 11.534341500000002, 11.5617975, @@ -58613,10 +58552,10 @@ 11.8674105, 11.96943, 12.042062999999999, - 12.006324000000001, + 12.006324, 11.945620499999999, - 11.863813499999997, - 11.180878499999999, + 11.8638135, + 11.1808785, 10.909899, 10.4576835, 10.316608500000001, @@ -58628,25 +58567,25 @@ 10.594914, 11.279664, 11.741268, - 12.197262, + 12.197261999999998, 12.866799, 12.683302499999998, 12.6576945, 12.482299500000002, 11.957550000000001, - 11.577159, + 11.577158999999998, 11.281198499999999, 11.282287499999999, 9.522579, 8.403615, 9.4035645, 10.4027055, - 9.370382999999999, + 9.370383, 9.093991499999998, 8.520055499999998, - 8.930262, + 8.930261999999999, 9.492681, - 10.054077000000001, + 10.054077, 10.9992795, 11.928378, 12.077620499999998, @@ -58661,60 +58600,60 @@ 11.770027500000001, 12.469247999999999, 12.1851675, - 10.890313499999998, + 10.8903135, 12.221121, - 13.5441735, - 13.934398499999997, + 13.544173500000001, + 13.934398499999999, 14.1159645, - 14.228956500000002, + 14.2289565, 14.238196499999999, - 14.167494000000001, - 14.057389500000001, + 14.167494, + 14.0573895, 14.0792685, 14.0664645, - 14.250175499999997, + 14.2501755, 14.205708, 14.051482499999999, 13.8521295, 13.090010999999999, 12.2355585, - 11.933691, + 11.933691000000001, 11.259830999999998, - 11.405938499999998, - 11.741960999999998, - 12.1560945, - 12.546797999999999, - 13.072025999999997, - 13.988023499999999, - 14.099563499999997, - 14.327659500000001, + 11.4059385, + 11.741961, + 12.156094499999998, + 12.546798, + 13.072026, + 13.9880235, + 14.099563499999999, + 14.327659499999998, 14.184192, 14.042523, - 14.218809, + 14.218808999999998, 13.584845999999999, 12.786872999999998, 11.9345655, 11.894058, - 12.0639915, - 12.184639500000001, - 11.568282000000002, - 11.714900999999998, + 12.063991499999998, + 12.1846395, + 11.568282, + 11.714901, 12.245986499999999, 12.946691999999999, 12.3805605, 11.672446500000001, 11.742835499999998, - 12.108590999999999, + 12.108591, 12.591760499999998, - 13.171141500000001, - 12.974923499999997, + 13.1711415, + 12.9749235, 13.409203499999998, - 14.0305935, + 14.030593500000002, 14.1611745, - 14.385327, + 14.385326999999998, 14.394302999999999, 14.354538, - 14.2810965, + 14.281096499999999, 14.273688, 13.994541, 13.689142499999999, @@ -58727,12 +58666,12 @@ 13.2729795, 13.2196515, 13.464940499999999, - 13.909153499999999, - 14.353250999999998, + 13.9091535, + 14.353251, 14.482016999999999, - 14.670710999999997, + 14.670710999999999, 14.683135499999999, - 14.703909000000001, + 14.703908999999998, 14.7376185, 14.740390499999998, 14.839307999999999, @@ -58744,26 +58683,26 @@ 14.9232765, 14.951112, 14.953983, - 14.903608499999997, + 14.903608499999999, 14.78895, 14.669044499999998, 14.799675, 14.772961500000001, 14.695065, - 14.5615305, + 14.561530500000002, 14.661306, 14.911215, 14.06757, 12.6482565, - 12.913906500000001, - 13.544585999999997, + 12.9139065, + 13.544586, 13.3970265, 13.551350999999999, 13.504474499999999, - 13.134610499999999, - 12.609432000000002, + 13.1346105, + 12.609432, 12.510069, - 12.035083499999997, + 12.035083499999999, 10.9880925, 9.955605, 8.193636, @@ -58781,7 +58720,7 @@ 8.460441, 8.567757, 8.189544, - 7.546902, + 7.546901999999999, 7.703025, 7.9401135, 8.4802905, @@ -58789,7 +58728,7 @@ 9.7326075, 9.835253999999999, 10.301049, - 9.472452, + 9.472451999999999, 8.9920875, 8.5376775, 8.0046285, @@ -58799,309 +58738,309 @@ 12.925275000000001, 12.740639999999999, 12.0916125, - 11.143407, + 11.143406999999998, 9.5140815, 9.854856000000002, - 10.541965499999998, - 8.6848245, + 10.5419655, + 8.684824499999998, 7.6126875, - 7.440972266666668, - 7.250029333333334, + 7.440972266666666, + 7.250029333333333, 7.3029738, - 7.400571616666667, - 7.4488183333333335, - 7.593443100000002, - 8.017905416666668, + 7.400571616666666, + 7.448818333333333, + 7.5934431, + 8.017905416666666, 8.356126933333334, 8.1901068, 8.237117266666667, - 7.980438800000001, + 7.9804388, 7.814797783333334, - 7.796765016666668, - 7.846000733333334, - 7.8999342000000015, + 7.796765016666667, + 7.846000733333333, + 7.8999342, 8.1799201, - 8.389835350000002, + 8.389835349999998, 8.044806216666666, - 8.678293683333335, + 8.678293683333333, 8.7405842, - 9.414703083333334, + 9.414703083333333, 9.320336000000001, - 9.375752966666667, - 9.62409086666667, + 9.375752966666665, + 9.624090866666668, 10.023828183333334, - 10.327846783333335, - 11.35574745, - 12.405801716666668, - 12.959773583333336, - 13.084585383333334, - 12.764577950000001, - 12.698743516666665, - 12.560464833333334, - 12.411818133333334, - 12.396950166666668, - 12.758759333333334, - 12.646870466666666, - 12.601442400000002, - 12.712226883333335, + 10.327846783333333, + 11.355747449999999, + 12.405801716666666, + 12.959773583333332, + 13.084585383333332, + 12.76457795, + 12.698743516666667, + 12.560464833333333, + 12.411818133333332, + 12.396950166666667, + 12.758759333333332, + 12.646870466666664, + 12.6014424, + 12.712226883333333, 12.618651, 12.590250216666668, - 13.1207663, + 13.120766299999998, 13.197034683333333, - 13.065646033333335, + 13.065646033333334, 13.325126666666668, 13.365065783333334, - 13.491361083333336, - 13.388224866666668, - 13.112771883333332, + 13.491361083333333, + 13.388224866666665, + 13.112771883333334, 13.238243016666667, - 13.496668716666669, + 13.496668716666667, 13.588101766666666, - 13.666084416666669, - 13.615711350000002, - 13.611557549999999, + 13.666084416666665, + 13.61571135, + 13.61155755, 13.538750666666667, 13.04753085, - 12.93921886666667, - 12.944196833333335, - 13.233644166666668, - 13.228682683333334, + 12.939218866666668, + 12.944196833333333, + 13.233644166666666, + 13.228682683333332, 13.225633266666668, - 13.299923650000004, - 12.610607133333335, + 13.299923649999998, + 12.610607133333334, 10.80447885, - 13.781566650000002, - 13.281857916666668, + 13.78156665, + 13.281857916666667, 10.517289733333335, - 11.585953683333333, - 14.179787500000002, + 11.585953683333335, + 14.1797875, 13.965998666666666, - 14.182721533333336, - 14.13892531666667, - 14.10477185, - 13.951130700000002, - 13.924889233333337, + 14.182721533333334, + 14.138925316666667, + 14.104771849999999, + 13.9511307, + 13.924889233333332, 13.820318966666667, 13.796945599999999, - 13.553503250000002, + 13.55350325, 12.945977033333333, - 13.89767525, - 14.066579966666668, - 14.271566700000001, + 13.897675249999999, + 14.066579966666666, + 14.2715667, 14.30900035, - 14.347521900000002, + 14.3475219, 14.452767983333334, - 14.4337627, + 14.433762699999999, 14.320110116666667, - 14.289797266666667, - 14.4044883, + 14.289797266666666, + 14.404488299999999, 14.405263016666666, 14.374290833333333, - 14.384807200000003, - 14.327659483333335, - 14.3219068, - 14.393790616666669, + 14.3848072, + 14.327659483333333, + 14.321906799999999, + 14.393790616666665, 14.415120049999999, - 14.377043550000002, - 14.418317816666669, + 14.37704355, + 14.418317816666667, 14.529464933333335, 14.5923983, - 14.624705633333333, - 14.574860033333335, - 14.513921150000002, - 14.640513150000002, - 14.611996983333336, - 14.619744150000002, - 14.545321900000003, - 14.502316883333334, - 14.538778016666669, + 14.624705633333331, + 14.574860033333332, + 14.513921149999998, + 14.64051315, + 14.611996983333334, + 14.61974415, + 14.545321900000001, + 14.502316883333332, + 14.538778016666667, 14.525756183333334, - 14.534096750000002, - 14.548140550000001, - 14.517498033333336, - 14.481514916666667, + 14.53409675, + 14.54814055, + 14.517498033333334, + 14.481514916666665, 14.505646516666667, - 14.532679183333334, - 14.557882200000002, - 14.513904666666667, - 14.505547616666668, - 14.420229883333334, - 14.437224200000003, - 14.416916733333336, + 14.532679183333332, + 14.5578822, + 14.513904666666665, + 14.505547616666666, + 14.420229883333333, + 14.437224200000001, + 14.416916733333332, 14.420988116666669, - 14.514992566666669, - 14.533305550000001, + 14.514992566666665, + 14.53330555, 14.513228849999999, - 14.438427483333335, - 14.448350450000001, - 14.484778616666668, - 14.481976450000001, - 14.456954750000001, - 14.499943283333334, - 14.48583355, + 14.438427483333333, + 14.44835045, + 14.484778616666667, + 14.48197645, + 14.45695475, + 14.499943283333332, + 14.485833549999999, 14.52489905, 14.431389099999999, - 14.304714683333335, - 14.274204033333335, - 14.355005333333335, - 14.331763833333335, + 14.304714683333332, + 14.274204033333332, + 14.355005333333333, + 14.331763833333333, 14.470586466666667, - 14.477443533333336, + 14.477443533333334, 14.2956983, - 14.018036550000001, + 14.01803655, 13.681051283333334, 13.990558833333333, - 14.12188155, - 14.287308283333337, - 14.306626750000001, + 14.121881549999998, + 14.287308283333333, + 14.30662675, 14.411131083333332, - 14.42326281666667, - 14.477031450000002, - 14.461817333333334, - 14.408131116666668, - 14.265484350000001, - 14.096843366666668, - 14.038953900000001, - 14.037866000000001, - 14.170210683333334, - 14.255858083333335, - 14.180595183333335, - 13.965289883333334, - 13.774693100000002, - 13.665540466666668, - 13.756446050000001, + 14.423262816666666, + 14.47703145, + 14.461817333333332, + 14.408131116666665, + 14.26548435, + 14.096843366666665, + 14.0389539, + 14.037866, + 14.170210683333332, + 14.255858083333333, + 14.180595183333333, + 13.965289883333332, + 13.7746931, + 13.665540466666666, + 13.75644605, 13.884290783333334, - 13.858148216666669, - 14.040552783333336, + 13.858148216666665, + 14.040552783333334, 14.102365283333334, - 14.21237505, - 14.395257633333335, + 14.212375049999999, + 14.395257633333333, 14.317274983333334, - 14.203622400000002, - 13.900230166666667, - 13.746078033333335, - 13.664683333333334, + 14.2036224, + 13.900230166666665, + 13.746078033333333, + 13.664683333333333, 13.4443671, - 13.455312033333335, - 13.469289900000003, - 13.401823616666668, - 13.5646295, - 13.60265655, - 13.479591983333336, + 13.455312033333334, + 13.4692899, + 13.401823616666666, + 13.564629499999999, + 13.602656549999999, + 13.479591983333332, 12.869395466666667, - 12.5184653, + 12.518465299999999, 12.746314416666667, - 13.500674166666668, - 13.831527633333334, - 14.227506750000002, - 14.294429083333336, - 14.298038933333336, + 13.500674166666666, + 13.831527633333332, + 14.22750675, + 14.294429083333334, + 14.298038933333332, 13.941240700000002, - 13.761951483333334, + 13.761951483333332, 13.79798405, - 13.958136116666667, - 14.131425400000003, - 14.333956116666668, + 13.958136116666665, + 14.1314254, + 14.333956116666664, 14.1622822, 13.969905216666668, 13.947356016666667, 13.952548266666668, - 13.992058816666669, - 13.905356483333335, - 13.964680000000001, - 13.839489083333333, - 13.8911973, - 14.115716783333337, - 14.090546733333335, - 14.0743601, + 13.992058816666665, + 13.905356483333332, + 13.96468, + 13.839489083333332, + 13.891197299999998, + 14.115716783333335, + 14.090546733333333, + 14.074360100000002, 13.957625133333334, - 13.765511883333334, - 13.845175833333336, - 13.824670566666668, + 13.765511883333332, + 13.845175833333334, + 13.824670566666667, 13.709583933333334, 13.679831516666667, 13.585035866666667, - 13.513267433333334, - 13.543398966666667, - 13.435400166666668, + 13.513267433333333, + 13.543398966666668, + 13.435400166666666, 13.293379766666668, 13.283737016666667, 13.360071333333334, 13.279715083333334, 13.141947383333333, - 13.1822821, + 13.182282100000002, 13.411087250000001, 13.358390033333334, - 13.117865233333335, - 13.0891183, - 13.11933225, + 13.117865233333333, + 13.089118299999999, + 13.119332249999998, 13.071728383333333, - 12.989295233333335, + 12.989295233333333, 12.605035766666667, 12.415493916666668, 11.822720283333334, 12.138837650000001, 12.418246633333332, - 12.353467133333336, + 12.353467133333334, 12.374186683333333, - 12.444933150000002, + 12.444933149999999, 12.359681349999999, - 12.19481505, + 12.194815049999999, 12.183029466666666, 12.54422875, - 12.862192250000001, - 12.825071783333334, - 12.824132233333335, - 12.541311200000003, + 12.86219225, + 12.825071783333332, + 12.824132233333332, + 12.541311199999999, 12.8245608, 12.90649945, 12.900763249999999, 12.531948666666667, - 12.352362750000001, - 12.436889283333334, - 12.021377416666667, + 12.35236275, + 12.436889283333333, + 12.021377416666665, 11.374274716666667, 11.323473083333335, - 10.952136550000002, - 10.324533633333335, + 10.95213655, + 10.324533633333331, 10.780693399999999, 11.099926116666667, - 10.768248483333334, + 10.768248483333332, 10.53982245, - 9.475098016666669, - 10.99565255, - 10.899076700000002, - 10.263924416666667, + 9.475098016666665, + 10.995652549999999, + 10.899076699999998, + 10.263924416666665, 9.889142866666667, 10.33846205, 10.349604783333334, 10.142211483333334, - 10.340918066666667, + 10.340918066666665, 10.308857983333333, 10.098448233333333, - 9.656117983333335, - 9.279819966666668, - 8.665782833333335, + 9.656117983333333, + 9.279819966666665, + 8.665782833333333, 7.902077033333334, 7.692903533333334, - 8.701101933333332, + 8.701101933333334, 9.484141333333334, 7.936093533333334, 8.906079, 11.3137362, 13.450137999999997, - 13.1605552, + 13.160555200000001, 10.3111138, - 9.584900866666667, + 9.584900866666665, 9.089138933333334, 9.934866933333332, 9.839063866666667, 8.189449666666667, 7.23005465, - 7.3976143500000004, - 7.442769600000001, + 7.39761435, + 7.442769599999999, 7.471096500000001, - 7.549595899999999, + 7.5495959, 7.617336999999999, 7.6804063000000005, 7.747160399999999, @@ -59112,7 +59051,7 @@ 8.13704185, 8.208829649999998, 8.2803378, - 8.376290649999998, + 8.37629065, 8.444640399999999, 8.5400833, 8.63057475, @@ -59121,25 +59060,25 @@ 9.2230544, 8.09956875, 8.62600165, - 8.887786949999999, + 8.88778695, 9.542842399999998, 9.36292875, - 7.4888954, + 7.4888954000000005, 8.011001949999999, 9.138402699999999, - 9.5464943, + 9.546494299999999, 7.148742299999999, - 8.956498600000002, + 8.9564986, 10.21592705, 10.287172, 10.381627899999998, - 10.463647600000002, + 10.4636476, 10.50649985, 10.59908045, 9.109697449999999, 8.726511149999999, - 8.806162050000001, - 7.626976699999999, + 8.806162049999998, + 7.6269767, 7.210281749999999, 9.99967535, 9.46876805, @@ -59147,25 +59086,25 @@ 10.53828125, 9.6292707, 7.471902549999999, - 7.634806899999999, + 7.6348069, 10.27932535, 7.83406575, 10.050407149999998, 10.939727049999998, - 11.28073555, - 11.331763450000002, + 11.280735550000001, + 11.33176345, 11.530232700000001, - 11.5394447, + 11.539444699999999, 11.537569399999999, 11.52600505, 11.62967295, - 11.02302985, - 11.063134950000002, + 11.023029849999999, + 11.06313495, 11.842881400000001, - 11.842470149999999, - 11.9362516, + 11.84247015, + 11.936251599999999, 12.04776615, - 12.12929235, + 12.129292349999998, 10.7402708, 11.9842856, 12.0236011, @@ -59173,32 +59112,32 @@ 12.064841249999999, 9.447975249999999, 7.19824035, - 7.38313835, + 7.383138349999999, 7.91703955, 10.61648455, 10.4742414, 9.007197499999998, - 9.7771891, + 9.777189099999998, 10.1239551, 8.963654349999999, 11.17680445, 10.84829795, - 7.9630502, - 8.2272701, - 11.591262200000001, - 7.47321855, + 7.9630502000000005, + 8.227270099999998, + 11.5912622, + 7.4732185499999995, 8.40718375, 11.978199100000001, - 12.205538100000002, + 12.205538099999998, 13.01265735, 13.18567845, - 13.162582649999997, - 13.0308017, + 13.16258265, + 13.030801699999998, 12.785795399999998, - 13.247053399999999, + 13.2470534, 13.23802235, 13.24279285, - 13.268833200000001, + 13.2688332, 13.28135165, 13.30694785, 13.353122999999998, @@ -59206,59 +59145,59 @@ 13.41535335, 13.4518559, 13.4836373, - 13.53244445, + 13.532444449999998, 13.35396195, 13.60304785, - 13.62239305, + 13.622393050000001, 13.650785749999999, - 12.926113899999999, - 12.10550565, + 12.9261139, + 12.105505650000001, 13.62476185, - 13.661823700000001, + 13.6618237, 12.692112649999999, 9.6926032, 10.981888399999999, 12.971762649999999, 12.808578649999998, 13.13162375, - 11.556223700000002, + 11.5562237, 13.3234801, 10.277071699999999, 10.542262149999999, 11.4013634, - 12.7483552, + 12.748355199999999, 13.5245978, 13.1851685, 13.206208049999999, 13.4837689, 13.60153445, - 13.633463899999997, + 13.6334639, 13.62936785, 13.6172442, - 13.550457200000002, - 13.318923450000002, - 12.843732299999997, + 13.550457199999999, + 13.31892345, + 12.8437323, 13.4261281, 13.618296999999998, 13.6185931, - 13.618938549999998, + 13.61893855, 13.63627685, 13.65878045, 13.6726478, - 13.679540350000002, - 13.669259100000001, + 13.67954035, + 13.6692591, 13.6591259, - 13.700810200000001, - 13.752380950000001, - 13.749831200000001, - 13.760490799999998, + 13.7008102, + 13.75238095, + 13.7498312, + 13.7604908, 13.71003865, 13.66670935, 13.767498499999999, 13.63940235, - 13.775509649999998, + 13.77550965, 13.216999249999999, - 12.331150299999997, + 12.3311503, 12.8550499, 13.0390596, 13.4928164, @@ -59270,10 +59209,10 @@ 13.98077275, 13.97343605, 13.951853649999999, - 13.96820495, + 13.968204949999999, 13.9217337, 14.01423205, - 13.931455649999998, + 13.93145565, 13.82742585, 13.638036999999999, 13.74464945, @@ -59282,73 +59221,73 @@ 13.5981951, 13.300713299999998, 13.09280175, - 13.0803162, + 13.080316199999999, 12.77650115, 13.17380155, 13.34192055, 13.52283765, - 13.396863549999999, - 13.499100299999997, + 13.39686355, + 13.4991003, 13.71559875, 13.9573315, 13.8149732, 13.878519549999998, - 13.846096600000001, - 13.91243945, - 13.930830549999998, + 13.846096599999997, + 13.912439449999999, + 13.93083055, 13.93704865, - 13.8339236, + 13.833923599999999, 13.79284795, 13.5991821, - 13.630650950000001, + 13.63065095, 13.77981955, - 13.832821449999999, + 13.832821449999997, 13.84759355, 13.87957235, 13.9121269, 13.62160345, - 13.828347049999998, + 13.82834705, 13.855505999999998, - 13.85469995, + 13.854699949999999, 13.842707899999999, 13.83074875, 13.817029450000001, 13.822737599999998, 13.8273107, - 13.810038200000001, + 13.8100382, 13.80146775, - 13.774391049999998, + 13.77439105, 13.7490087, 13.7014682, - 13.731456549999997, + 13.731456549999999, 13.707011849999999, - 13.7095287, - 13.673749950000001, + 13.709528699999998, + 13.67374995, 13.653746749999998, 13.673207099999999, 13.6870251, 13.6835048, 13.646788399999998, - 13.544880649999998, + 13.544880650000001, 13.63959975, - 13.6494862, + 13.649486199999998, 13.4759387, 13.533497250000002, 13.48924675, - 13.536277299999998, + 13.5362773, 13.51921865, - 13.4504412, + 13.450441199999998, 13.483308300000001, - 13.479146450000002, + 13.47914645, 13.51786975, - 13.520435950000001, + 13.52043595, 13.4880459, 13.449717399999999, 13.3791469, 13.3342384, 13.29592635, 13.2741301, - 13.238236200000001, + 13.2382362, 13.173373849999999, 13.086057249999998, 13.05243345, @@ -59363,30 +59302,30 @@ 12.837645799999999, 12.881616649999998, 12.888575, - 12.800304299999999, + 12.8003043, 12.80719685, 12.920997949999999, - 12.748141350000001, + 12.74814135, 12.9286472, 12.99225935, - 12.960099600000001, + 12.9600996, 12.935046250000001, 12.8803171, 12.7914542, 12.759278, - 12.762716049999998, + 12.76271605, 12.770513349999998, 12.7946455, 12.793938149999999, - 12.767272700000001, + 12.7672727, 12.754672, 12.74807555, 12.71241195, 12.665562349999998, 12.4870634, 12.511656149999999, - 12.543355299999998, - 12.520687200000001, + 12.5433553, + 12.5206872, 12.47753885, 12.4579469, 12.41009385, @@ -59395,42 +59334,42 @@ 12.213006400000001, 12.246482149999999, 12.22838715, - 12.191144350000002, + 12.19114435, 12.143406449999999, - 12.08645655, - 12.066387549999998, + 12.086456550000001, + 12.06638755, 11.99275735, 11.9591829, 11.9367451, 11.906181, - 11.874827299999998, + 11.8748273, 11.84299655, 11.8046845, 11.7811939, - 11.728669049999999, + 11.72866905, 11.712186149999999, - 11.6795987, + 11.679598699999998, 11.6598916, 11.62533015, 11.60736675, 11.55768775, - 11.507136899999999, + 11.5071369, 11.456388650000001, 11.406495799999998, 11.3516186, - 11.304752549999998, + 11.30475255, 11.2615055, 11.25290215, 11.2313691, - 11.192020700000002, - 11.164927549999998, + 11.1920207, + 11.16492755, 11.126270049999999, 11.07840055, 11.038723150000001, 10.99615055, 10.95025505, 10.9037509, - 10.875818799999998, + 10.8758188, 10.874486349999998, 10.8233433, 10.7447781, @@ -59439,12 +59378,12 @@ 10.665982600000001, 10.609098499999998, 10.560998699999999, - 10.5160244, + 10.516024400000001, 10.452297100000001, 10.41293225, 10.347115800000001, 10.3079648, - 10.2573317, + 10.257331700000002, 10.19684505, 10.18825815, 10.142757450000001, @@ -59452,7 +59391,7 @@ 10.054075500000001, 9.990759449999999, 10.0068969, - 9.955688050000001, + 9.95568805, 9.91742535, 9.857366399999998, 9.8216699, @@ -59461,47 +59400,47 @@ 9.642332, 9.5789337, 9.55792705, - 9.089069149999998, + 9.08906915, 9.18806525, 9.1413637, 9.0802684, 8.6841195, - 9.1064568, + 9.106456799999998, 9.09393835, - 9.144752399999998, - 9.204449449999998, + 9.1447524, + 9.20444945, 9.14305805, 8.988197750000001, 8.01333785, 8.06318135, - 7.957555899999999, + 7.9575559, 8.047833500000001, - 8.080174199999998, + 8.0801742, 8.0356934, - 7.62149885, + 7.621498849999999, 7.8465019499999995, - 7.863363199999999, + 7.8633632, 7.660452449999999, 7.4451877500000005, 7.4302018, 7.461210050000001, - 7.481739649999999, - 7.383056100000001, + 7.48173965, + 7.3830561, 7.072955966666667, 7.132592533333333, - 7.215252199999999, + 7.2152522, 7.282661733333333, - 7.339751133333334, + 7.339751133333333, 7.409477766666666, - 7.4721052, - 7.531528133333334, + 7.472105200000001, + 7.531528133333333, 7.5635074, 7.654235833333333, 7.742384233333333, - 7.762646533333332, + 7.762646533333334, 7.863415733333333, 7.951580566666667, - 8.0293924, + 8.029392399999999, 8.117672266666666, 8.179001466666667, 8.2426149, @@ -59514,11 +59453,11 @@ 8.627335666666665, 8.6811384, 8.769286800000001, - 8.837633033333333, + 8.837633033333335, 8.8857827, 8.921886733333332, 8.981408266666666, - 8.994752133333334, + 8.994752133333332, 9.089769666666665, 9.146020966666667, 9.189092733333332, @@ -59530,11 +59469,11 @@ 9.472682766666669, 9.517775833333332, 9.560601099999998, - 9.594404466666669, + 9.594404466666667, 9.608849366666666, 9.711722033333333, 9.777603266666667, - 9.829631199999998, + 9.8296312, 9.880147266666667, 9.918321899999999, 9.9861587, @@ -59544,42 +59483,42 @@ 10.1413551, 10.181534599999999, 10.231508366666667, - 10.263142533333331, + 10.263142533333333, 10.3304699, - 10.395858133333334, + 10.395858133333332, 10.445684, 10.490333366666666, - 10.543511633333335, - 10.588621133333335, + 10.543511633333333, + 10.588621133333334, 10.627387366666666, 10.654157266666667, 10.683720833333332, 10.719923466666666, 10.752757266666666, - 10.786248399999998, + 10.7862484, 10.865654266666667, 10.927953033333331, - 10.9858641, + 10.985864099999999, 11.0413266, - 11.072648533333332, + 11.072648533333334, 11.121718466666668, 11.171840133333331, 11.204575333333334, 11.262502833333334, - 11.310553899999999, + 11.3105539, 11.3382605, 11.386985333333334, 11.409844099999999, 11.486144066666666, 11.526800133333333, - 11.550924266666668, + 11.550924266666666, 11.563923033333333, 11.556281533333333, 11.609591266666666, 11.656081166666667, 11.709127966666667, 11.745051233333331, - 11.768830266666667, + 11.768830266666665, 11.813183833333333, 11.828088866666665, 11.873379133333334, @@ -59592,10 +59531,10 @@ 12.064449499999998, 12.076495133333335, 12.098137833333334, - 12.117627766666667, - 12.164249133333334, + 12.117627766666665, + 12.164249133333332, 12.1936155, - 12.200040933333334, + 12.200040933333332, 12.183903399999998, 12.270161966666667, 12.331277533333331, @@ -59604,27 +59543,27 @@ 12.365508166666668, 12.3984077, 12.4312415, - 12.46537353333333, + 12.465373533333333, 12.4661952, - 12.4920777, + 12.492077700000001, 12.5462091, - 12.52054023333333, + 12.520540233333332, 12.585057500000001, 12.601540133333334, 12.642607033333332, - 12.672334933333333, + 12.672334933333332, 12.704478533333333, - 12.730361033333333, + 12.730361033333335, 12.763112666666666, - 12.788715800000002, - 12.823850266666668, - 12.838360899999998, + 12.7887158, + 12.823850266666666, + 12.8383609, 12.857571466666666, - 12.8690748, + 12.869074799999998, 12.893264666666667, - 12.8988027, + 12.898802700000001, 12.9199031, - 12.939803866666665, + 12.939803866666667, 12.950699166666666, 12.925556166666667, 12.968857999999997, @@ -59634,28 +59573,28 @@ 13.043876166666665, 13.059339933333332, 13.086093399999998, - 13.101836533333332, - 13.093192600000002, - 13.117760433333334, + 13.101836533333334, + 13.0931926, + 13.117760433333332, 13.128902233333331, 13.1441195, 13.1555078, - 13.137940566666664, + 13.137940566666666, 13.1401755, 13.170379966666667, 13.1526977, 13.167849233333333, - 13.204627033333333, + 13.204627033333335, 13.218316, - 13.218200966666668, + 13.218200966666666, 13.199006833333332, - 13.2405503, + 13.240550299999999, 13.250098066666665, 13.283802833333334, 13.310145466666665, 13.342798499999999, 13.395779566666667, - 13.419525733333332, + 13.419525733333334, 13.4001837, 13.385886699999999, 13.365903766666666, @@ -59663,19 +59602,19 @@ 13.420856833333332, 13.408203166666665, 13.348106466666666, - 13.424505033333332, - 13.434529366666665, - 13.452293800000001, + 13.424505033333334, + 13.434529366666666, + 13.4522938, 13.452901833333332, 13.451636466666665, 13.457305966666667, 13.4802469, - 13.497534766666668, - 13.500081933333334, + 13.497534766666666, + 13.500081933333332, 13.537812866666666, 13.643775, 13.6571846, - 13.663922266666669, + 13.663922266666667, 13.658630733333332, 13.651613699999999, 13.654045833333333, @@ -59689,32 +59628,32 @@ 13.478061266666666, 13.494954733333332, 13.5062773, - 13.512489100000002, + 13.512489099999998, 13.520311366666666, 13.534329, - 13.479343066666665, + 13.479343066666667, 13.454627333333333, - 13.489203066666667, + 13.489203066666668, 13.491273666666666, 13.505225566666667, - 13.524978433333334, + 13.524978433333333, 13.538059366666666, - 13.527131199999998, - 13.532570633333334, + 13.5271312, + 13.532570633333332, 13.4851276, 13.494395999999998, - 13.494050899999998, + 13.4940509, 13.491898133333335, 13.489170199999998, - 13.5187502, + 13.518750200000001, 13.5120454, 13.505504933333333, 13.4774368, - 13.499917600000002, - 13.492111766666667, + 13.4999176, + 13.492111766666666, 13.478948666666668, - 13.448481266666668, - 13.394629233333331, + 13.448481266666667, + 13.394629233333333, 13.371523966666667, 13.338542266666666, 13.338476533333333, @@ -59723,48 +59662,48 @@ 13.324672533333334, 13.315667066666666, 13.3039994, - 13.273416966666668, + 13.273416966666666, 13.275947699999998, - 13.257493066666665, + 13.257493066666667, 13.191135266666667, 13.2072235, 13.196623999999998, - 13.167027566666665, + 13.167027566666667, 13.1242023, 13.079437899999999, 13.068657633333332, 13.064877966666668, - 13.0498579, - 13.032159199999999, - 13.024961399999999, - 13.025158600000001, + 13.049857900000001, + 13.0321592, + 13.0249614, + 13.0251586, 13.010845166666666, 12.9852749, 12.947379633333334, - 12.910831899999998, + 12.9108319, 12.8725751, - 12.845312199999999, + 12.8453122, 12.811196599999999, 12.752808966666667, 12.7100823, - 12.696491933333334, + 12.696491933333332, 12.683690366666667, 12.650347133333332, - 12.633141433333334, - 12.618433600000001, + 12.633141433333332, + 12.6184336, 12.599765333333332, - 12.585977766666668, - 12.548674100000001, + 12.585977766666666, + 12.5486741, 12.394299366666667, - 12.550268133333335, + 12.550268133333333, 12.530630299999999, 12.507738666666667, - 12.429450266666668, - 12.356239766666668, - 12.335336566666664, + 12.429450266666667, + 12.356239766666667, + 12.335336566666665, 12.344391333333332, - 12.2797426, - 12.221601466666668, + 12.279742599999999, + 12.221601466666666, 12.1704445, 12.145071433333333, 12.103610133333333, @@ -59773,20 +59712,20 @@ 12.024976633333333, 12.026274866666666, 11.9932603, - 11.950960899999998, - 11.916237266666668, + 11.950960900000002, + 11.916237266666666, 11.871900133333332, 11.820513100000001, 11.775288566666665, 11.715931366666666, - 11.690032433333334, + 11.690032433333332, 11.6602388, 11.639105533333332, 11.606370333333333, 11.598843866666668, 11.592155499999999, 11.545534133333332, - 11.529347300000001, + 11.529347299999998, 11.485388133333334, 11.421051633333333, 11.377454, @@ -59796,27 +59735,27 @@ 11.215076233333331, 11.164938133333333, 11.115342333333333, - 11.0591239, + 11.059123900000001, 10.98897, 10.944435666666667, 10.905521533333333, 10.895973766666668, 10.855350566666665, - 10.810816233333332, + 10.810816233333334, 10.767350066666667, 10.722372033333333, - 10.698790199999998, + 10.6987902, 10.6525961, - 10.604906566666667, + 10.604906566666665, 10.5469955, - 10.489791066666667, - 10.448855633333334, + 10.489791066666665, + 10.448855633333332, 10.412094266666665, 10.376154566666665, 10.3202648, 10.272476666666668, 10.210062866666668, - 10.161206566666667, + 10.161206566666666, 10.114404433333334, 10.0605031, 9.9730449, @@ -59837,9 +59776,9 @@ 9.228253366666667, 9.163522466666668, 9.0805177, - 9.029426466666669, + 9.029426466666667, 8.980077166666668, - 8.9105313, + 8.910531299999999, 8.851502766666666, 8.7812667, 8.698853533333333, @@ -59852,36 +59791,36 @@ 8.279803533333332, 8.221136533333333, 8.155025233333333, - 8.085232866666665, + 8.085232866666667, 8.017428933333333, 7.954094866666666, 7.8849434, - 7.793705533333331, - 7.720511466666667, + 7.793705533333333, + 7.720511466666666, 7.663011233333334, 7.618674099999999, 7.5534009, 7.505267666666667, - 7.441374866666665, + 7.441374866666666, 7.358452266666666, 7.3070488000000005, - 6.915652166666667, - 6.9685795, + 6.915652166666666, + 6.968579500000001, 7.032555250000001, - 7.06249925, + 7.062499249999999, 7.1544325833333335, 7.188841916666666, 7.290690916666667, - 7.377961916666667, + 7.377961916666666, 7.4660701666666665, 7.5308339166666665, 7.603477666666667, 7.659048083333333, 7.700155416666666, - 7.775294499999999, - 7.845245916666667, + 7.7752945, + 7.845245916666666, 7.925539833333334, - 7.9744286666666655, + 7.974428666666666, 8.019393916666667, 8.097143249999998, 8.162580083333333, @@ -59889,11 +59828,11 @@ 8.27661025, 8.328782416666666, 8.382579833333333, - 8.438445749999998, - 8.524797416666665, - 8.592746, + 8.43844575, + 8.524797416666667, + 8.592746000000002, 8.638482833333335, - 8.68508975, + 8.685089750000001, 8.735718749999998, 8.781422749999999, 8.862997166666668, @@ -59901,21 +59840,21 @@ 8.999813666666666, 9.065053500000001, 9.120016499999998, - 9.174421333333333, + 9.174421333333331, 9.192693083333333, 9.294033166666665, 9.353576416666666, - 9.4208355, + 9.420835499999999, 9.493659833333334, 9.567863166666665, 9.633103, - 9.693516333333333, + 9.693516333333331, 9.7450975, 9.77745475, 9.807644999999999, 9.869322416666668, 9.898232166666666, - 9.953047416666665, + 9.953047416666667, 10.014330833333332, 10.071789166666665, 10.127967000000002, @@ -59932,35 +59871,35 @@ 10.684229333333333, 10.72088775, 10.749879583333334, - 10.806090249999997, + 10.80609025, 10.836855083333333, 10.911862833333334, 10.976840000000001, 11.034954999999998, 11.066475, - 11.132535666666664, + 11.132535666666666, 11.1585725, - 11.189616416666668, + 11.189616416666667, 11.186776333333334, - 11.2308715, - 11.315450166666668, + 11.230871500000001, + 11.315450166666666, 11.371348916666667, 11.407662583333332, 11.447653583333333, - 11.477531916666665, - 11.493899333333335, - 11.530836833333334, + 11.477531916666667, + 11.493899333333333, + 11.530836833333332, 11.540243583333332, 11.588410083333335, 11.672167916666666, 11.706347416666667, 11.742431250000001, 11.75513775, - 11.802992333333332, - 11.828520249999999, + 11.802992333333334, + 11.82852025, 11.853736249999999, 11.880938666666665, - 11.910193166666664, + 11.910193166666666, 11.949921499999999, 11.974612166666667, 12.02837675, @@ -59969,77 +59908,77 @@ 12.116829749999999, 12.146314083333332, 12.18248, - 12.220599499999999, + 12.2205995, 12.264021583333335, 12.282638083333334, - 12.323285749999998, - 12.33106725, - 12.357301083333333, - 12.380317250000001, - 12.423033416666668, + 12.32328575, + 12.331067249999998, + 12.357301083333335, + 12.38031725, + 12.423033416666666, 12.444407916666666, 12.472940083333333, 12.487173333333335, - 12.515754750000003, + 12.51575475, 12.537605333333332, 12.501291666666667, - 12.607852250000002, + 12.60785225, 12.646415, 12.636482916666667, - 12.67512775, + 12.675127750000001, 12.700507916666666, - 12.700491499999998, + 12.7004915, 12.741598833333335, 12.772806916666667, 12.7773215, 12.8293295, - 12.863049333333333, + 12.863049333333331, 12.926072916666667, 12.957100416666666, 12.984467, 13.007335416666669, 13.03169775, - 13.041432833333332, + 13.041432833333333, 13.070276916666666, - 13.065220583333335, + 13.065220583333334, 13.111942416666666, - 13.172716916666666, + 13.172716916666667, 13.186391999999998, 13.209900666666666, 13.238761166666668, - 13.232096, + 13.232095999999999, 13.247347083333333, - 13.285548666666665, + 13.285548666666667, 13.288306666666667, - 13.329643833333334, + 13.329643833333332, 13.339887833333334, - 13.350509416666664, - 13.371801833333334, - 13.36914233333333, - 13.436762583333334, - 13.457841583333332, + 13.350509416666666, + 13.371801833333333, + 13.369142333333334, + 13.436762583333332, + 13.457841583333334, 13.46233975, - 13.491922583333334, + 13.491922583333332, 13.4975535, 13.503332166666667, 13.524214166666665, 13.519896583333333, - 13.556128166666666, + 13.556128166666667, 13.548806333333332, 13.585431916666666, - 13.583346999999998, - 13.617017583333334, + 13.583347, + 13.617017583333332, 13.593032833333332, 13.630561333333333, - 13.695505666666666, + 13.695505666666667, 13.716880166666668, 13.734019166666666, - 13.720820166666668, + 13.720820166666666, 13.710083666666666, 13.710953749999998, 13.694372916666666, 13.713990833333332, - 13.73636675, + 13.736366749999998, 13.730013499999998, 13.6898255, 13.750714916666665, @@ -60052,19 +59991,19 @@ 13.818942583333333, 13.881637833333334, 13.864433166666666, - 13.873790666666665, + 13.873790666666666, 13.912057916666665, 13.894951749999999, 13.858638083333332, - 13.877894833333333, + 13.877894833333334, 13.885298749999999, - 13.882064666666666, - 13.917294833333331, + 13.882064666666665, + 13.917294833333333, 13.9163755, 13.9410005, - 13.952098166666666, + 13.952098166666667, 13.960109499999998, - 14.00717608333333, + 14.007176083333333, 13.982239166666666, 13.98842825, 13.986885083333334, @@ -60073,118 +60012,118 @@ 13.915669583333333, 13.998606583333332, 14.033393499999999, - 14.048710249999997, - 14.034542666666667, + 14.04871025, + 14.034542666666665, 14.006864166666668, 13.999230416666665, 13.982649583333334, 13.952065333333334, 13.939129, - 13.914733833333335, - 13.896642666666667, + 13.914733833333331, + 13.896642666666665, 13.945121083333332, 13.919576750000001, - 13.896527749999997, + 13.896527749999999, 13.881375166666666, - 13.867634416666666, + 13.867634416666668, 13.855453249999998, - 13.886103166666665, + 13.886103166666667, 13.864351083333332, 13.878912666666666, 13.879208166666666, 13.815921916666666, 13.903948083333333, 13.959354333333334, - 13.927341833333335, - 13.962768999999996, + 13.927341833333331, + 13.962769, 13.967382083333332, 13.889173083333334, 13.972471249999998, 13.981697416666666, 13.950932583333334, - 13.92706275, + 13.927062750000001, 13.93464725, 13.942642166666667, 13.900484166666667, 13.894114499999999, - 13.878141083333333, + 13.878141083333334, 13.870490916666666, - 13.847737416666666, + 13.847737416666668, 13.8322565, - 13.824951083333332, - 13.812802749999998, - 13.796763666666665, + 13.824951083333334, + 13.81280275, + 13.796763666666667, 13.776932333333331, 13.784057166666667, - 13.792478916666667, - 13.77556975, - 13.732853583333332, + 13.792478916666665, + 13.775569749999999, + 13.732853583333334, 13.665824333333333, 13.62486475, 13.592244833333332, 13.583314166666666, 13.563220166666667, - 13.559903999999998, + 13.559904, 13.517532583333333, 13.463012833333332, 13.491134583333332, 13.4536225, - 13.395770166666669, - 13.414189666666667, + 13.395770166666667, + 13.414189666666665, 13.384097916666665, 13.395162749999999, 13.413549416666665, - 13.403863583333331, + 13.403863583333333, 13.352446583333332, 13.361886166666666, 13.372557, - 13.35054225, + 13.350542249999998, 13.298485, - 13.225742749999998, - 13.206863583333332, - 13.201232666666668, + 13.22574275, + 13.206863583333334, + 13.201232666666666, 13.16230875, 13.12822775, - 13.046916000000001, + 13.046915999999998, 13.074725833333332, 13.066993583333332, 13.05514075, 13.029514333333335, - 13.028086083333333, + 13.028086083333335, 13.019927, - 13.006333999999997, - 13.005414666666669, - 12.99958675, + 13.006334, + 13.005414666666667, + 12.999586749999999, 12.970299416666665, 12.976422833333332, - 12.928387666666667, + 12.928387666666666, 12.900167416666667, - 12.898788416666667, - 12.878349666666667, + 12.898788416666665, + 12.878349666666665, 12.864050749999999, - 12.863049333333333, + 12.863049333333331, 12.893485833333333, 12.885753583333333, - 12.872702333333333, - 12.866989333333333, + 12.872702333333335, + 12.866989333333331, 12.867219166666667, 12.884079083333333, 12.873999249999999, 12.852115833333333, - 12.833368000000002, + 12.833368, 12.82839375, - 12.831742749999998, - 12.800452583333335, - 12.774317250000001, + 12.83174275, + 12.800452583333334, + 12.77431725, 12.762201750000001, 12.734129249999999, 12.717991666666668, - 12.683828583333332, - 12.671007166666667, - 12.660763166666666, + 12.683828583333334, + 12.671007166666666, + 12.660763166666667, 12.623349583333331, 12.590368500000002, - 12.566613583333332, + 12.566613583333334, 12.518742583333333, 12.502243833333333, 12.499288833333335, @@ -60193,7 +60132,7 @@ 12.355675833333333, 12.301139666666666, 12.243188833333333, - 12.185041000000002, + 12.185040999999998, 12.161286083333332, 12.109475083333335, 12.086738, @@ -60203,15 +60142,15 @@ 11.991455666666665, 11.965500916666667, 11.910948333333332, - 11.891511000000001, + 11.891511, 11.851519999999999, 11.809181416666666, 11.766678666666664, 11.681673166666664, 11.682461166666664, - 11.651039666666668, + 11.651039666666666, 11.615497583333333, - 11.563341833333336, + 11.563341833333334, 11.541721083333332, 11.520855500000001, 11.492848666666667, @@ -60228,22 +60167,22 @@ 11.107451, 11.08523925, 11.04160375, - 10.990679250000001, - 10.94763475, + 10.99067925, + 10.947634749999999, 10.902505333333332, - 10.871658416666667, - 10.826102166666667, + 10.871658416666666, + 10.826102166666665, 10.775867166666668, 10.733742, 10.692831666666669, 10.653464499999998, 10.593231750000001, - 10.540107416666666, + 10.540107416666668, 10.493270666666666, 10.442461083333335, 10.403996833333332, - 10.30275525, - 10.328496583333331, + 10.302755249999999, + 10.328496583333333, 10.297764583333333, 10.238878, 10.177528916666667, @@ -60258,7 +60197,7 @@ 9.72387075, 9.675572916666665, 9.609889833333334, - 9.565449916666665, + 9.565449916666667, 9.504478416666666, 9.445920166666665, 9.384095, @@ -60269,14 +60208,14 @@ 9.090794833333332, 9.040083749999999, 8.992770916666666, - 8.935460333333332, + 8.935460333333333, 8.868234083333334, - 8.81097275, + 8.810972749999998, 8.77245925, 8.7013915, 8.647823916666665, 8.589232833333334, - 8.531117833333331, + 8.531117833333333, 8.47400425, 8.388128666666667, 8.307424333333334, @@ -60288,416 +60227,416 @@ 7.9774493333333325, 7.902720666666667, 7.828763583333333, - 7.7878368333333325, + 7.787836833333333, 7.723713333333333, - 7.646325166666666, + 7.646325166666667, 7.579394416666666, - 7.503303166666667, - 7.446879083333332, - 7.368899916666666, + 7.503303166666666, + 7.446879083333333, + 7.368899916666667, 7.305827083333332, - 6.899135600000001, - 6.9678352000000014, + 6.899135599999999, + 6.9678352, 7.029204, - 7.1074156, - 7.186201200000001, - 7.261378800000001, - 7.3117432, - 7.4051904, - 7.464689600000001, - 7.5399492000000015, - 7.607435200000001, + 7.1074155999999995, + 7.1862012, + 7.2613788, + 7.3117431999999996, + 7.4051903999999995, + 7.4646896, + 7.5399492, + 7.607435199999999, 7.6551756, 7.7357488, - 7.797544, - 7.8777072000000015, - 7.943438400000001, - 8.0073, + 7.797543999999999, + 7.877707200000001, + 7.943438399999999, + 8.007299999999999, 8.0768688, 8.138336, 8.1887004, - 8.264370000000001, + 8.26437, 8.3259848, - 8.392503200000002, - 8.441506400000002, - 8.5173728, + 8.3925032, + 8.4415064, + 8.517372799999999, 8.5229324, - 8.5618332, + 8.561833199999999, 8.703644, - 8.770539600000001, - 8.835073600000001, - 8.890587600000002, + 8.7705396, + 8.8350736, + 8.8905876, 8.9457736, 9.0278884, - 9.098982400000002, - 9.156546400000002, - 9.2157996, - 9.273872000000003, + 9.0989824, + 9.1565464, + 9.215799599999999, + 9.273872, 9.33324, 9.39351, - 9.446301600000002, + 9.4463016, 9.493681200000001, 9.546932, 9.6134012, 9.668095200000002, - 9.6960408, + 9.696040799999999, 9.7151304, 9.77891, 9.8712256, 9.916178, 9.9824012, - 10.029928400000001, + 10.0299284, 10.0695508, - 10.121948800000002, + 10.121948799999998, 10.181612000000001, - 10.2221036, + 10.222103599999999, 10.2674988, - 10.318060000000001, - 10.373131200000001, + 10.31806, + 10.3731312, 10.4135408, - 10.460116800000002, + 10.4601168, 10.506217200000002, - 10.586790400000002, + 10.586790399999998, 10.630644, 10.697523200000001, - 10.750577200000002, + 10.7505772, 10.793299200000002, 10.8360868, 10.8581448, - 10.9112316, + 10.911231599999999, 10.9577912, - 10.999480000000002, - 11.035494400000003, + 10.99948, + 11.0354944, 11.090582000000001, 11.1395196, - 11.154706000000001, + 11.154706, 11.166645200000001, - 11.228030400000002, - 11.305520400000002, - 11.3335152, - 11.338927200000002, - 11.382010000000001, + 11.2280304, + 11.3055204, + 11.333515199999999, + 11.3389272, + 11.38201, 11.4369336, 11.4707996, 11.5035668, 11.5487488, - 11.592586000000002, - 11.591470800000002, + 11.592586, + 11.5914708, 11.640211599999999, 11.6737824, 11.7005636, - 11.740054800000001, - 11.764179200000001, - 11.778217600000001, + 11.7400548, + 11.7641792, + 11.7782176, 11.7915836, - 11.8502136, - 11.899610400000002, + 11.850213599999998, + 11.8996104, 11.9409876, - 11.966948800000003, - 11.991483200000001, - 12.0134428, + 11.9669488, + 11.9914832, + 12.013442800000002, 12.038092, 12.0567388, - 12.091982400000003, + 12.091982400000001, 12.137951600000001, 12.1783448, - 12.228807600000001, - 12.222641200000002, - 12.315006000000002, - 12.361959200000001, - 12.386477200000002, - 12.430888400000004, - 12.458752, - 12.501392000000001, - 12.5238108, - 12.5386036, - 12.562186800000001, + 12.2288076, + 12.2226412, + 12.315006, + 12.3619592, + 12.3864772, + 12.430888399999999, + 12.458751999999999, + 12.501392, + 12.523810800000001, + 12.538603599999998, + 12.5621868, 12.6093696, - 12.6477128, + 12.647712799999999, 12.658077599999999, 12.7003076, - 12.729598000000003, + 12.729598000000001, 12.732287600000001, - 12.7937548, + 12.793754799999999, 12.81127, - 12.853795200000002, - 12.885184800000001, - 12.914672000000001, - 12.899682400000001, - 12.959296400000001, - 12.952949600000002, + 12.8537952, + 12.8851848, + 12.914672, + 12.8996824, + 12.9592964, + 12.952949599999998, 12.9667748, 13.0007556, - 13.027668000000002, - 13.0450192, - 13.076884400000003, - 13.101025200000002, + 13.027668, + 13.045019199999999, + 13.076884399999999, + 13.1010252, 13.108175600000001, - 13.106224000000001, - 13.1301516, - 13.141631600000002, - 13.158753200000003, - 13.150258000000003, - 13.154604000000003, - 13.15116, - 13.179351599999999, - 13.267829599999999, - 13.348255200000002, + 13.106224, + 13.130151600000001, + 13.141631599999998, + 13.158753200000001, + 13.150258000000001, + 13.154604, + 13.151159999999999, + 13.1793516, + 13.2678296, + 13.348255199999999, 13.4343388, - 13.4751256, + 13.475125599999998, 13.4751748, - 13.558995200000002, - 13.591582, - 13.603078400000001, - 13.572853200000003, + 13.5589952, + 13.591581999999999, + 13.6030784, + 13.5728532, 13.5472036, - 13.527064400000002, - 13.477848000000002, - 13.476667200000003, - 13.461808800000002, - 13.404671200000003, - 13.4525428, - 13.54681, - 13.585350000000002, - 13.606227200000003, + 13.5270644, + 13.477848, + 13.476667200000001, + 13.4618088, + 13.4046712, + 13.452542800000002, + 13.546809999999999, + 13.58535, + 13.606227200000001, 13.6554928, - 13.744561200000001, - 13.760469200000001, - 13.775098000000002, - 13.804503200000003, + 13.7445612, + 13.7604692, + 13.775098, + 13.804503200000001, 13.8310876, - 13.8323996, - 13.845962400000001, - 13.858114800000001, - 13.872940400000003, + 13.832399599999999, + 13.8459624, + 13.858114799999997, + 13.8729404, 13.8620836, - 13.875138, - 13.876532000000001, - 13.843666400000002, - 13.858180400000004, - 13.864855200000001, + 13.875137999999998, + 13.876532, + 13.843666399999998, + 13.8581804, + 13.8648552, 13.8876348, - 13.904936800000002, - 13.906806400000002, - 13.915498400000002, - 13.944362400000001, - 13.967502800000002, - 13.9607132, - 13.948954400000002, + 13.9049368, + 13.906806399999999, + 13.915498399999999, + 13.9443624, + 13.9675028, + 13.960713199999999, + 13.9489544, 13.9722916, - 13.967683200000002, - 14.0709212, + 13.967683199999998, + 14.070921199999999, 13.9699792, - 13.956400000000002, - 13.9396228, - 13.960598400000004, - 13.947904800000002, + 13.9564, + 13.939622799999999, + 13.9605984, + 13.9479048, 13.9402788, - 13.941377600000001, + 13.941377599999997, 13.9177616, - 13.884994400000004, - 13.8791888, - 13.895523200000001, + 13.884994399999998, + 13.879188800000001, + 13.8955232, 13.869316000000001, - 13.843125200000003, - 13.846536400000002, - 13.812654000000002, - 13.792564, - 13.774130400000002, - 13.746234, - 13.752187200000002, - 13.744413600000001, - 13.760879200000002, - 13.7507604, + 13.8431252, + 13.8465364, + 13.812654, + 13.792563999999999, + 13.774130399999999, + 13.746233999999998, + 13.7521872, + 13.7444136, + 13.7608792, + 13.750760399999999, 13.7578288, - 13.743938, - 13.733655200000001, + 13.743937999999998, + 13.7336552, 13.7222736, - 13.694656000000002, - 13.670597200000001, + 13.694656, + 13.6705972, 13.6303516, - 13.6111308, - 13.631926000000002, + 13.611130799999998, + 13.631926, 13.630745200000002, 13.573410800000001, - 13.5707376, - 13.558913200000003, + 13.570737600000001, + 13.558913200000001, 13.5654568, - 13.547826800000001, - 13.525293200000002, - 13.484588400000003, + 13.5478268, + 13.525293199999998, + 13.4845884, 13.4594144, - 13.437520400000004, + 13.437520399999999, 13.4384388, - 13.447032400000003, - 13.381957200000002, - 13.378759200000001, + 13.4470324, + 13.381957199999999, + 13.3787592, 13.3732488, 13.350256, - 13.325590400000003, - 13.299990000000003, - 13.306386000000002, - 13.304975600000002, - 13.282294400000003, - 13.262089600000001, - 13.276439600000002, - 13.258268400000002, - 13.229125600000001, - 13.2164156, - 13.168970400000003, - 13.1290036, - 13.113571200000003, + 13.325590399999998, + 13.299990000000001, + 13.306386, + 13.3049756, + 13.282294399999998, + 13.2620896, + 13.2764396, + 13.2582684, + 13.2291256, + 13.216415600000001, + 13.1689704, + 13.129003599999999, + 13.113571199999999, 13.0915788, 13.052514, - 13.000296400000002, - 12.974122000000001, - 12.9539336, - 12.9244628, - 12.891597200000001, + 13.0002964, + 12.974122, + 12.953933600000001, + 12.924462799999999, + 12.8915972, 12.8508268, 12.8227336, - 12.814304000000002, - 12.8162228, - 12.773369599999999, + 12.814304, + 12.816222799999998, + 12.7733696, 12.792229599999999, - 12.7615124, - 12.739897200000001, - 12.6880076, - 12.688844000000001, + 12.761512399999999, + 12.7398972, + 12.688007599999999, + 12.688844, 12.6536496, - 12.624916800000001, - 12.575405200000002, - 12.557594800000002, - 12.5192188, - 12.479120800000002, - 12.468100000000002, - 12.441138400000003, + 12.6249168, + 12.5754052, + 12.5575948, + 12.519218799999999, + 12.4791208, + 12.4681, + 12.4411384, 12.4269196, - 12.371799200000002, + 12.3717992, 12.3347516, 12.2892088, 12.2387788, - 12.193186800000001, + 12.1931868, 12.1800996, - 12.163289600000002, - 12.1358688, + 12.163289599999999, + 12.135868799999999, 12.110826000000001, 12.0653652, - 12.0314008, + 12.031400799999998, 11.9671948, - 11.931902000000001, - 11.867007200000002, - 11.8534772, + 11.931902, + 11.867007199999998, + 11.853477199999999, 11.7984388, - 11.732199200000002, - 11.711322000000001, - 11.674143200000003, - 11.610839200000001, - 11.5506676, - 11.504911599999998, - 11.486937200000002, - 11.461090800000001, - 11.407298800000001, - 11.3621332, - 11.308554400000002, - 11.276476000000002, + 11.7321992, + 11.711322, + 11.6741432, + 11.6108392, + 11.550667599999999, + 11.5049116, + 11.4869372, + 11.4610908, + 11.4072988, + 11.362133199999999, + 11.3085544, + 11.276476, 11.2588132, - 11.190966400000002, - 11.158871600000001, - 11.17045, - 11.147424400000002, + 11.1909664, + 11.1588716, + 11.170449999999999, + 11.1474244, 11.118462000000001, - 11.079528400000001, + 11.0795284, 11.034412000000001, - 10.965860000000001, - 10.949443599999999, - 10.924056400000003, + 10.96586, + 10.9494436, + 10.924056400000001, 10.8857296, - 10.836398400000002, - 10.791839600000001, - 10.755562800000002, - 10.728420800000002, + 10.8363984, + 10.7918396, + 10.7555628, + 10.7284208, 10.6688724, - 10.649700800000002, - 10.619000000000002, - 10.5323588, + 10.6497008, + 10.619, + 10.532358799999999, 10.4703012, 10.4518512, - 10.3985512, - 10.359502800000001, + 10.398551199999998, + 10.3595028, 10.3384288, 10.305678, - 10.262546, - 10.217413200000003, - 10.177430000000001, - 10.1344948, - 10.111518400000001, - 10.074782400000002, - 10.0157424, + 10.262545999999999, + 10.217413200000001, + 10.17743, + 10.134494799999999, + 10.1115184, + 10.0747824, + 10.015742399999999, 9.9435496, 9.9001388, - 9.836867600000001, - 9.7840924, + 9.8368676, + 9.784092399999999, 9.7213624, 9.678115600000002, - 9.624635200000002, - 9.559281200000001, - 9.4977648, - 9.462308000000002, - 9.393723200000002, - 9.3253844, - 9.2865, - 9.247058000000003, - 9.184377200000002, + 9.6246352, + 9.5592812, + 9.497764799999999, + 9.462308, + 9.3937232, + 9.325384399999999, + 9.286499999999998, + 9.247058, + 9.1843772, 9.1502488, - 9.103230000000002, - 9.075399200000001, - 9.029020000000001, - 8.985215600000002, - 8.894294000000002, - 8.836680800000002, - 8.887143600000002, + 9.10323, + 9.0753992, + 9.02902, + 8.9852156, + 8.894294, + 8.8366808, + 8.8871436, 8.8681524, 8.8427488, 8.7903344, 8.5739528, - 8.612968400000002, + 8.6129684, 8.4263036, 7.4125048, 8.0831828, - 7.610075600000001, - 7.360451200000002, - 7.589018, - 7.648861600000001, - 7.530109200000001, - 7.388511600000001, - 7.306429600000001, + 7.6100756, + 7.3604512, + 7.589017999999999, + 7.6488616, + 7.5301092, + 7.3885116, + 7.3064296, 6.886766933333333, 6.949007216666666, 7.02269945, 7.106811483333333, - 7.185271266666665, + 7.185271266666666, 7.27198825, 7.329657583333333, 7.4016623333333325, 7.484152416666666, 7.519425733333334, 7.631979233333333, - 7.705966366666668, + 7.705966366666666, 7.7454502, 7.82354955, 7.7109141333333335, 7.724250166666667, - 6.951481099999999, - 8.127411233333333, + 6.9514811, + 8.127411233333332, 8.342737383333333, 8.417101333333333, - 8.417216016666666, - 8.499689716666666, + 8.417216016666668, + 8.499689716666667, 8.612341516666667, 8.648171866666667, 8.695618, - 8.738099983333335, + 8.738099983333333, 8.7769121, 8.835859333333334, 8.898509200000001, @@ -60706,7 +60645,7 @@ 9.08228105, 9.157693533333335, 9.216100116666667, - 9.238987633333332, + 9.238987633333334, 9.327179116666665, 9.399396849999999, 9.4320816, @@ -60718,14 +60657,14 @@ 9.78148895, 9.82100555, 9.846694616666667, - 9.920796433333331, + 9.920796433333333, 9.976385083333332, 9.997945549999999, - 10.086513849999998, + 10.08651385, 10.117511116666666, 10.198608616666666, 10.26620625, - 10.318075883333332, + 10.318075883333334, 10.367275033333332, 10.400598733333332, 10.449126166666666, @@ -60734,29 +60673,29 @@ 10.58450165, 10.649264966666665, 10.699823933333333, - 10.762391883333333, + 10.762391883333331, 10.797730733333333, 10.852582133333334, - 10.913003866666665, + 10.913003866666667, 10.9587789, 11.017824433333331, 11.059536399999999, 11.108866616666665, 11.156132533333333, 11.2078711, - 11.245044883333334, + 11.245044883333332, 11.269357750000001, - 11.2960462, - 11.323619349999998, + 11.296046200000001, + 11.32361935, 11.3483418, 11.427080099999998, 11.481456383333333, - 11.515173283333331, + 11.515173283333333, 11.520514249999998, 11.60780465, 11.673993316666666, 11.70895535, - 11.72676403333333, + 11.726764033333332, 11.80922135, 11.870724383333334, 11.924543633333334, @@ -60765,7 +60704,7 @@ 11.9609474, 12.019337599999998, 12.071305533333334, - 12.111985349999998, + 12.11198535, 12.168098266666666, 12.240447066666666, 12.285206333333333, @@ -60774,7 +60713,7 @@ 12.397088116666666, 12.448286033333332, 12.471075250000002, - 12.506397716666669, + 12.506397716666667, 12.5380667, 12.550976766666665, 12.57792735, @@ -60783,36 +60722,36 @@ 12.7089121, 12.700441916666668, 12.765844183333334, - 12.860523466666669, + 12.860523466666665, 12.931758199999999, 12.932921416666666, - 13.012036533333331, + 13.012036533333335, 13.013674866666666, - 13.029271800000002, + 13.0292718, 12.874170783333334, 12.51648985, 12.656125, 12.721117683333333, 12.558840766666666, - 12.530923566666667, + 12.530923566666665, 12.315138683333334, 12.448826683333332, 12.589084399999999, - 12.320610716666668, + 12.320610716666666, 12.722690483333333, 12.790877916666666, 13.336246316666667, 12.2995909, 11.45593115, - 12.134184766666666, - 12.2305843, - 12.797693383333334, + 12.134184766666667, + 12.230584299999999, + 12.797693383333332, 12.20841765, - 12.621490633333334, + 12.621490633333332, 10.752479966666668, 9.707632883333332, - 8.067005883333332, - 8.914302733333335, + 8.067005883333334, + 8.914302733333333, 7.16149905, 10.048226000000001, 12.712647500000001, @@ -60821,9 +60760,9 @@ 10.129110516666666, 9.549943299999999, 12.742137499999998, - 12.755883116666666, + 12.755883116666668, 13.355021616666667, - 13.716667316666667, + 13.716667316666665, 12.981285016666666, 12.535003016666664, 11.127183183333333, @@ -60831,107 +60770,107 @@ 9.525482983333333, 7.388146083333332, 7.267302616666667, - 7.0705715499999995, + 7.07057155, 7.153143549999999, 7.7486941, 7.686257216666666, - 7.376939883333333, + 7.376939883333334, 7.680211766666666, 9.0925534, 9.97484505, 11.875328099999999, 13.119199916666666, - 11.450508266666665, + 11.450508266666667, 10.382937499999999, 9.9925882, 10.988252516666668, - 11.45435835, + 11.454358350000001, 11.772620983333333, 11.66373735, 12.4358347, - 12.497747316666668, + 12.497747316666667, 13.072884233333333, 12.208352116666667, - 12.812045183333332, + 12.812045183333334, 12.590427833333333, - 12.740400866666665, - 12.922288633333334, + 12.740400866666667, + 12.922288633333332, 13.403073933333333, - 13.303168366666664, + 13.303168366666666, 12.609219516666665, 12.918717066666666, 13.699546733333333, - 13.411200066666666, + 13.411200066666664, 13.484122283333333, 13.619497766666665, - 13.374714383333334, + 13.374714383333332, 12.385095516666667, 12.481757183333333, 12.472222083333332, - 12.760388533333332, - 13.03266315, + 12.760388533333334, + 13.032663149999998, 13.04672005, 12.182155166666666, 12.351558833333334, 13.0626938, 13.700595266666665, - 13.842098116666664, - 13.633669349999998, + 13.842098116666667, + 13.63366935, 13.801549366666665, 13.680738666666665, - 13.639813099999998, + 13.6398131, 13.786984583333332, 13.834987750000002, 13.8447686, 14.048708333333334, 14.131968433333332, - 14.199992033333332, + 14.199992033333334, 14.270292916666667, - 14.2535983, + 14.253598299999998, 14.242687, 14.261495066666667, 14.197649216666667, - 14.079328783333331, - 14.0019503, - 14.040664116666663, + 14.079328783333333, + 14.001950299999999, + 14.040664116666667, 13.957633383333333, - 13.834119433333333, + 13.834119433333335, 13.81611415, - 13.876781633333335, + 13.876781633333334, 13.935007999999998, 13.953177116666666, - 13.932321133333334, + 13.932321133333332, 13.924620966666666, 13.8962778, - 13.95891128333333, + 13.958911283333332, 13.9323539, - 13.91126855, - 13.897228033333331, + 13.911268549999999, + 13.897228033333333, 13.863363683333333, 13.823060683333333, - 13.778285033333331, - 13.766357966666668, - 13.724744300000001, - 13.725497933333331, + 13.778285033333333, + 13.766357966666666, + 13.7247443, + 13.725497933333335, 13.68753775, 13.667419016666665, 13.673742983333334, - 13.610896516666665, + 13.610896516666667, 13.5547836, 13.5107452, 13.484957833333334, 13.516954483333333, - 13.520329449999998, + 13.52032945, 13.471277749999999, - 13.446194866666666, - 13.395275466666668, - 13.352678800000001, + 13.446194866666668, + 13.395275466666666, + 13.3526788, 13.351171533333334, 13.342062400000001, 13.286211616666666, 13.20773545, - 13.185093683333331, - 13.167678199999997, + 13.185093683333333, + 13.1676782, 13.170954866666667, 13.146314333333331, 13.155947733333333, @@ -60939,18 +60878,18 @@ 13.079503099999998, 13.050832266666667, 13.021489716666666, - 13.004369133333334, + 13.004369133333332, 12.9790405, 12.963394416666667, 12.944963166666666, 12.833671183333333, - 12.759978949999999, - 12.7240503, - 12.774887783333332, + 12.75997895, + 12.724050299999998, + 12.774887783333334, 12.74100705, 12.755588216666666, 12.754556066666666, - 12.723984766666666, + 12.723984766666668, 12.712319833333332, 12.699458916666666, 12.671640016666666, @@ -60958,28 +60897,28 @@ 12.582072333333334, 12.4404548, 12.430985233333333, - 12.411996949999999, + 12.41199695, 12.47304125, 12.268200433333334, - 12.167066116666664, - 11.838989866666664, - 11.896937716666667, + 12.167066116666666, + 11.838989866666665, + 11.896937716666665, 12.0317234, 11.8852564, 11.814562316666667, - 11.928426483333334, + 11.928426483333332, 11.983834916666668, 11.9082586, 12.078989316666668, 12.206681016666666, - 12.115114566666668, + 12.115114566666666, 12.050908283333333, 11.749913683333332, - 11.540534683333332, + 11.540534683333334, 11.376095166666666, 11.2207484, - 10.995952683333332, - 10.792094866666666, + 10.995952683333334, + 10.792094866666668, 10.04060775, 9.439716233333334, 9.0901942, @@ -60989,7 +60928,7 @@ 8.575036666666668, 8.47144485, 7.5428702833333325, - 7.41933995, + 7.4193399499999995, 7.505925866666666, 7.089019183333333, 7.654801216666667, @@ -60997,40 +60936,40 @@ 8.479358, 9.059131399999998, 8.951869716666666, - 7.688075766666665, + 7.688075766666667, 7.6075680666666665, 8.057536316666667, 7.31366745, - 7.552765816666667, + 7.552765816666666, 7.1284702499999995, - 6.984213133333333, - 7.034671566666665, - 7.119696399999999, + 6.984213133333332, + 7.034671566666666, + 7.1196964, 7.169581999999999, 7.2414153, 7.291268166666667, 7.3606628333333335, - 7.420417533333333, + 7.4204175333333335, 7.487259, 7.5433803, 7.6174231, 7.679550966666667, - 7.741547899999999, + 7.7415479, 7.7914335, 7.862415733333333, - 7.880582733333332, + 7.880582733333333, 7.9633489666666675, 8.0473427, - 8.102678399999999, + 8.1026784, 8.175231833333333, 8.255903133333334, 8.305854199999999, 8.3692914, 8.428833333333333, 8.489897366666666, - 8.545085766666666, + 8.545085766666665, 8.584742199999999, - 8.622581933333334, + 8.622581933333333, 8.706821166666666, 8.740061866666665, 8.799391033333333, @@ -61041,76 +60980,76 @@ 9.059375533333332, 9.103663733333333, 9.159604999999999, - 9.224302433333333, + 9.224302433333332, 9.261356566666667, 9.306250333333333, 9.3613078, 9.417445466666667, - 9.4596551, + 9.459655099999999, 9.526103766666667, - 9.584058133333334, + 9.584058133333333, 9.622012433333333, 9.679934066666668, - 9.738444899999998, + 9.7384449, 9.7747298, 9.8060556, 9.824108033333331, 9.869623733333333, - 9.9257123, + 9.925712299999999, 9.9430446, - 10.011620933333333, + 10.011620933333331, 10.0552872, 10.064256133333334, 10.1516214, 10.202472633333334, 10.2458443, - 10.287890266666668, - 10.334338866666664, + 10.287890266666667, + 10.334338866666666, 10.372865999999998, 10.45519033333333, - 10.5172691, + 10.517269099999998, 10.590346266666666, 10.679430033333333, 10.734602066666666, - 10.811639966666664, - 10.847319299999999, + 10.811639966666666, + 10.8473193, 10.8916075, - 10.950756633333333, + 10.950756633333334, 11.0077781, 11.034472133333333, 11.083424833333334, - 11.153866966666666, - 11.223179799999999, - 11.246633233333332, - 11.131739233333331, + 11.153866966666667, + 11.2231798, + 11.246633233333334, + 11.131739233333333, 11.3409216, - 11.3748497, + 11.374849699999999, 11.4035241, - 11.426290133333332, + 11.426290133333334, 11.446470233333333, - 11.462378633333334, + 11.462378633333335, 11.467959666666667, 11.498205266666668, 11.5297602, - 11.597894633333333, - 11.647207399999997, + 11.597894633333334, + 11.6472074, 11.699122466666665, - 11.785816700000002, - 11.832821766666667, + 11.7858167, + 11.832821766666665, 11.860170466666666, 11.879515866666665, - 11.911185366666668, - 11.967814033333335, + 11.911185366666666, + 11.967814033333333, 12.0247864, - 12.060465733333332, + 12.060465733333334, 12.103886499999998, - 12.200957200000001, + 12.2009572, 12.236669266666667, 12.294738200000001, 12.325065633333333, 12.346489600000002, - 12.346325933333334, - 12.397684533333333, + 12.346325933333333, + 12.397684533333331, 12.427242733333333, 12.4510726, 12.4766537, @@ -61119,21 +61058,21 @@ 12.678831133333333, 12.717701966666665, 12.755312566666667, - 12.807276733333332, + 12.807276733333333, 12.816392966666665, 12.865001966666666, - 12.886687799999999, + 12.8866878, 12.885493033333333, - 12.898750033333334, + 12.898750033333332, 12.9278336, - 12.985133299999998, - 13.04659013333333, - 13.105297366666667, - 13.124119033333335, + 12.9851333, + 13.046590133333332, + 13.105297366666665, + 13.124119033333333, 13.159176433333334, 13.165346666666666, - 13.167294299999996, - 13.201778866666668, + 13.1672943, + 13.201778866666666, 13.278031166666667, 13.308718666666666, 13.359995433333333, @@ -61144,26 +61083,26 @@ 13.423285333333332, 13.477328066666667, 13.5002905, - 13.494251200000003, - 13.479472100000002, + 13.4942512, + 13.4794721, 13.449062833333333, 13.488293733333332, - 13.48014313333333, + 13.480143133333334, 13.546526333333334, 13.5364772, 13.454905733333334, - 13.6705202, + 13.670520199999999, 13.653728, 13.527622833333332, 13.293857733333333, - 12.737718399999999, - 12.763610466666666, + 12.7377184, + 12.763610466666668, 12.313674433333333, 12.384247499999999, 13.106672166666668, - 13.467622633333331, - 13.501976266666668, - 13.508408366666668, + 13.467622633333333, + 13.501976266666667, + 13.508408366666666, 13.631583899999997, 13.685953966666665, 13.665299233333334, @@ -61172,77 +61111,77 @@ 13.6572632, 13.661944066666665, 13.636362966666667, - 13.635380966666666, - 13.6041861, + 13.635380966666668, + 13.604186099999998, 13.6283924, 13.608883333333333, - 13.562172866666668, + 13.562172866666666, 13.627868666666666, 13.658801666666667, - 13.649456299999999, + 13.6494563, 13.638392433333333, - 13.635790133333332, - 13.649521766666666, - 13.650389200000001, + 13.635790133333334, + 13.649521766666664, + 13.6503892, 13.644939099999998, - 13.684431866666669, + 13.684431866666667, 13.665692033333332, - 13.671878633333332, + 13.671878633333334, 13.693466266666666, 13.719734766666667, - 13.709571066666665, - 13.688408966666664, + 13.709571066666667, + 13.688408966666666, 13.686657733333332, - 13.61541363333333, + 13.615413633333333, 13.6489162, 13.685692099999999, - 13.715954066666665, + 13.715954066666667, 13.686755933333334, - 13.706395933333335, + 13.706395933333333, 13.7239901, - 13.737590799999998, + 13.7375908, 13.724595666666668, 13.746756133333331, 13.817067333333334, 13.880979166666666, 13.894350733333333, - 13.9183279, + 13.918327900000001, 13.914776333333334, - 13.874154266666668, + 13.874154266666666, 13.830455266666666, - 13.895365466666666, + 13.895365466666668, 13.872223, 13.878115000000001, 13.9181806, 13.906805766666665, - 13.880635466666664, + 13.880635466666666, 13.865659966666666, 13.8523375, 13.879915333333331, - 13.911142933333334, + 13.911142933333332, 13.899440766666666, 13.983467233333332, - 13.973270799999998, + 13.9732708, 13.980570333333334, - 14.111732799999999, + 14.1117328, 14.001683333333332, 14.079588666666666, 14.111405466666666, 14.340015066666666, - 14.116642799999997, + 14.1166428, 13.585364433333332, 13.186868833333333, 12.3885683, 11.596650766666666, 11.396568266666666, 11.338826666666666, - 11.626208966666665, - 10.72288353333333, + 11.626208966666667, + 10.722883533333334, 9.865041066666665, - 9.673911133333334, + 9.673911133333332, 10.344027933333335, - 10.975290266666667, - 11.884933233333332, + 10.975290266666665, + 11.884933233333333, 12.391530666666666, 11.959908933333335, 11.116076333333334, @@ -61251,50 +61190,50 @@ 9.674778566666665, 8.697393966666665, 8.5020087, - 8.126017266666668, + 8.126017266666667, 8.157915899999999, 8.545249433333334, 9.528165966666666, - 10.974291899999999, - 10.890396366666668, + 10.9742919, + 10.890396366666666, 11.0806916, 12.464853333333334, 13.257671033333335, 12.355867700000001, 12.380548633333332, 12.409468533333333, - 12.806933033333335, + 12.806933033333333, 13.8379021, 14.1485087, 14.021012366666668, 13.316361899999999, - 13.9133197, + 13.913319699999999, 13.724595666666668, - 13.86680563333333, + 13.866805633333334, 13.968393533333334, - 13.987755299999998, + 13.9877553, 13.734857566666667, 12.930746866666667, - 12.670025866666668, - 11.102230133333332, + 12.670025866666666, + 11.102230133333334, 10.6734071, 10.3227349, 9.899640199999999, - 11.821185066666665, + 11.821185066666667, 10.657924233333333, 10.171785133333334, 10.273913133333334, 9.356512366666667, 9.925450433333333, - 10.943260700000002, + 10.9432607, 11.521282266666667, 11.962560333333332, - 12.704264933333333, - 12.935116766666667, - 13.5480157, + 12.70426493333333, + 12.935116766666665, + 13.548015699999999, 13.685037433333333, - 13.662500533333334, - 13.588359533333334, + 13.662500533333331, + 13.588359533333332, 13.5390304, 13.253661200000002, 11.383147600000001, @@ -61304,9 +61243,9 @@ 13.5022054, 13.4084244, 13.327867666666666, - 13.289831533333334, - 13.283153933333333, - 13.271926399999998, + 13.289831533333333, + 13.283153933333331, + 13.2719264, 13.2538576, 13.208554666666664, 13.176279599999999, @@ -61315,57 +61254,57 @@ 13.078636066666666, 13.0297161, 13.0128257, - 12.972612799999999, + 12.9726128, 12.970206899999999, - 12.941516133333332, - 12.937833633333332, + 12.941516133333334, + 12.937833633333334, 12.881515933333333, - 12.878095299999998, + 12.8780953, 12.86911, 12.837816933333333, - 12.796081933333335, - 12.770075299999998, + 12.796081933333333, + 12.7700753, 12.724183166666668, 12.706114366666666, 12.668912933333333, 12.653724666666667, 12.515868233333332, - 12.633380899999999, + 12.6333809, 12.580631133333332, 12.544493533333334, 12.484607899999999, 12.434689566666666, 12.393952933333335, - 12.391383366666668, + 12.391383366666666, 12.372103433333333, 12.374001966666667, 12.3282244, 12.294378133333334, - 12.310466566666665, - 12.268960700000001, + 12.310466566666667, + 12.2689607, 12.167225499999999, 12.150940666666665, - 12.127929133333332, - 12.072364299999998, + 12.127929133333334, + 12.0723643, 12.065146599999999, 12.015228266666668, - 11.972036633333332, - 11.937961233333333, + 11.972036633333335, + 11.937961233333334, 11.8771427, 11.818582766666669, 11.7463894, 11.708795166666667, 11.636078066666666, - 11.579187533333336, + 11.579187533333334, 11.490365633333333, 11.4622477, - 11.3768137, + 11.376813699999998, 11.384653333333333, 11.337075433333332, 11.299432099999999, 11.246878733333332, 11.173965233333332, - 11.123130366666667, + 11.123130366666665, 11.097254666666664, 11.040135, 10.995797699999999, @@ -61373,11 +61312,11 @@ 10.920331000000001, 10.881542, 10.859856166666667, - 10.801639933333334, + 10.801639933333332, 10.6471386, 10.563799533333334, 9.9733393, - 10.431016766666668, + 10.431016766666666, 10.546107166666667, 10.506548933333333, 10.4544211, @@ -61396,33 +61335,33 @@ 9.7048114, 9.300456533333332, 9.3608659, - 9.449180433333336, + 9.449180433333334, 9.061290433333333, 7.7738066, 8.3716482, - 7.9182588, + 7.918258799999999, 8.039077533333334, 8.294053833333333, 8.353235699999999, - 8.8057904, + 8.805790400000001, 9.045856666666666, 9.018115166666666, 8.526149533333333, 7.6704183666666665, 7.980730366666666, 7.7388965, - 7.9737090666666655, + 7.973709066666667, 7.955853033333333, 8.2690292, - 7.376162066666666, + 7.376162066666667, 7.07531, 8.000566766666667, 7.7237246, - 7.866196433333334, + 7.866196433333333, 7.610058100000001, 7.734853933333333, 7.390973899999999, - 7.3824796, + 7.382479599999999, 7.290793533333333 ], "yaxis": "y" @@ -62264,34 +62203,7 @@ } } } - }, - "text/html": [ - "
" - ] + } }, "metadata": {}, "output_type": "display_data" @@ -62308,12 +62220,12 @@ }, { "cell_type": "code", - "execution_count": 26, + "execution_count": 27, "metadata": {}, "outputs": [ { "data": { - "image/png": "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\n", + "image/png": "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", "text/plain": [ "
" ] @@ -62339,7 +62251,7 @@ }, { "cell_type": "code", - "execution_count": 27, + "execution_count": 28, "metadata": {}, "outputs": [], "source": [ @@ -62350,20 +62262,20 @@ " '''\n", " diff = pandas_series.diff()\n", " diff_shift = diff.shift(-1)\n", - " \n", + "\n", " stuck_filter = ~((diff == 0) | (diff_shift == 0))\n", - " \n", + "\n", " return stuck_filter" ] }, { "cell_type": "code", - "execution_count": 28, + "execution_count": 29, "metadata": {}, "outputs": [], "source": [ "# Instantiate a new instance of TrendAnalysis\n", - "ta_stuck_filter = rdtools.TrendAnalysis(df['power'], df['poa'], \n", + "ta_stuck_filter = rdtools.TrendAnalysis(df['power'], df['poa'],\n", " temperature_ambient=df['Tamb'],\n", " gamma_pdc=meta['gamma_pdc'],\n", " interp_freq=freq,\n", @@ -62373,12 +62285,12 @@ }, { "cell_type": "code", - "execution_count": 29, + "execution_count": 30, "metadata": {}, "outputs": [], "source": [ "stuck_filter = (\n", - " filter_stuck_values(df['power']) & \n", + " filter_stuck_values(df['power']) &\n", " filter_stuck_values(df['poa']) &\n", " filter_stuck_values(df['Tamb']) &\n", " filter_stuck_values(df['wind_speed'])\n", @@ -62392,12 +62304,12 @@ }, { "cell_type": "code", - "execution_count": 30, + "execution_count": 31, "metadata": {}, "outputs": [ { "data": { - "image/png": "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\n", + "image/png": "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", "text/plain": [ "
" ] @@ -62433,7 +62345,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.10.12" + "version": "3.10.13" } }, "nbformat": 4, diff --git a/docs/cods_example.ipynb b/docs/cods_example.ipynb new file mode 100644 index 000000000..771663e05 --- /dev/null +++ b/docs/cods_example.ipynb @@ -0,0 +1,937 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# CODS example workflow\n", + "\n", + "\n", + "This juypter notebook is intended to give an introduction to the Combined Degradation and Soiling (CODS) algorithm workflow.\n", + "\n", + "The calculations consist of several steps from the degradation_and_soiling_workflow. This is not meant as an introduction to the RdTools workflow in general, but we show how the CODS algorithm can be used in the context of the general RdTools workflow. The steps involved are:\n", + "\n", + "
    \n", + "
  1. Import and preliminary calculations
    2. \n", + "
  2. Normalize data using a performance metric
    3. \n", + "
  3. Filter data that creates bias
    4. \n", + "
  4. Aggregate and remove outliers
    5. \n", + "
  5. Run CODS on the aggregated data
    6. \n", + "
  6. Visualize the results of the CODS algorithm
    7. \n", + "
\n", + "\n", + "This notebook works with public data from the the Desert Knowledge Australia Solar Centre. Please download the site data from Site 12, and unzip the csv file in the folder:\n", + "./rdtools/docs/\n", + "\n", + "Note this example was run with data downloaded on Sept. 8th, 2020. An older version of the data gave different sensor-based results. If you have an older version of the data and are getting different results, please try redownloading the data.\n", + "\n", + "http://dkasolarcentre.com.au/download?location=alice-springs\n", + "\n", + "For more information about CODS, we refer to [1] and [2].\n", + "\n", + "[1] Skomedal, Å. and Deceglie, M. G. IEEE J. of Photovoltaics, Sept. 2020\n", + "[2] Skomedal, Å., Deceglie, M. G., Haug, H., and Marstein, E. S., Proceedings of the 37th European Photovoltaic Solar Energy Conference and Exhibition, Sept. 2020" + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/Users/mdecegli/opt/anaconda3/envs/cods_test/lib/python3.10/site-packages/rdtools/soiling.py:27: UserWarning: The soiling module is currently experimental. The API, results, and default behaviors may change in future releases (including MINOR and PATCH releases) as the code matures.\n", + " warnings.warn(\n" + ] + } + ], + "source": [ + "from datetime import timedelta\n", + "import pandas as pd\n", + "import matplotlib.pyplot as plt\n", + "import numpy as np\n", + "import pvlib\n", + "import rdtools\n", + "from rdtools.soiling import CODSAnalysis\n", + "%matplotlib inline" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": {}, + "outputs": [], + "source": [ + "#Update the style of plots\n", + "import matplotlib\n", + "matplotlib.rcParams.update({'font.size': 12,\n", + " 'figure.figsize': [4.5, 3],\n", + " 'lines.markeredgewidth': 0,\n", + " 'lines.markersize': 2\n", + " })\n", + "# Register time series plotting in pandas > 1.0\n", + "from pandas.plotting import register_matplotlib_converters\n", + "register_matplotlib_converters()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## 0: Import and preliminary calculations" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": {}, + "outputs": [], + "source": [ + "file_name = '84-Site_12-BP-Solar.csv'\n", + "\n", + "df = pd.read_csv(file_name)\n", + "try:\n", + " df.columns = [col.decode('utf-8') for col in df.columns]\n", + "except AttributeError:\n", + " pass # Python 3 strings are already unicode literals\n", + "df = df.rename(columns = {\n", + " u'12 BP Solar - Active Power (kW)':'power',\n", + " u'12 BP Solar - Wind Speed (m/s)': 'wind_speed',\n", + " u'12 BP Solar - Weather Temperature Celsius (\\xb0C)': 'Tamb',\n", + " u'12 BP Solar - Global Horizontal Radiation (W/m\\xb2)': 'ghi',\n", + " u'12 BP Solar - Diffuse Horizontal Radiation (W/m\\xb2)': 'dhi'\n", + "})\n", + "\n", + "# Specify the Metadata\n", + "meta = {\"latitude\": -23.762028,\n", + " \"longitude\": 133.874886,\n", + " \"timezone\": 'Australia/North',\n", + " \"gamma_pdc\": -0.005,\n", + " \"azimuth\": 0,\n", + " \"tilt\": 20,\n", + " \"power_dc_rated\": 5100.0,\n", + " \"temp_model_params\": pvlib.temperature.TEMPERATURE_MODEL_PARAMETERS['sapm']['open_rack_glass_polymer']}\n", + "\n", + "df.index = pd.to_datetime(df.Timestamp)\n", + "# TZ is required for irradiance transposition\n", + "df.index = df.index.tz_localize(meta['timezone'], ambiguous = 'infer') \n", + "\n", + "# Explicitly trim the dates so that runs of this example notebook \n", + "# are comparable when the sourec dataset has been downloaded at different times\n", + "df = df['2008-11-11':'2017-05-15']\n", + "\n", + "# Chage power from kilowatts to watts\n", + "df['power'] = df.power * 1000.0\n", + "\n", + "# There is some missing data, but we can infer the frequency from the first several data points\n", + "freq = pd.infer_freq(df.index[:10])\n", + "\n", + "# Then set the frequency of the dataframe.\n", + "# It is reccomended not to up- or downsample at this step\n", + "# but rather to use interpolate to regularize the time series\n", + "# to it's dominant or underlying frequency. Interpolate is not\n", + "# generally recomended for downsampleing in this applicaiton.\n", + "df = rdtools.interpolate(df, freq, pd.to_timedelta('15 minutes'))\n", + "\n", + "# Calculate energy yield in Wh\n", + "df['energy'] = rdtools.energy_from_power(df.power, max_timedelta=pd.to_timedelta('15 minutes'))\n", + "\n", + "# Calculate POA irradiance from DHI, GHI inputs\n", + "loc = pvlib.location.Location(meta['latitude'], meta['longitude'], tz = meta['timezone'])\n", + "sun = loc.get_solarposition(df.index)\n", + "\n", + "# calculate the POA irradiance\n", + "sky = pvlib.irradiance.isotropic(meta['tilt'], df.dhi)\n", + "df['dni'] = (df.ghi - df.dhi)/np.cos(np.deg2rad(sun.zenith))\n", + "beam = pvlib.irradiance.beam_component(meta['tilt'], meta['azimuth'], sun.zenith, sun.azimuth, df.dni)\n", + "df['poa'] = beam + sky\n", + "\n", + "# Calculate cell temperature\n", + "df['Tcell'] = pvlib.temperature.sapm_cell(df.poa, df.Tamb, df.wind_speed, **meta['temp_model_params'])" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## 1: Normalize" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": {}, + "outputs": [], + "source": [ + "# Specify the keywords for the pvwatts model\n", + "pvwatts_kws = {\"poa_global\" : df.poa,\n", + " \"power_dc_rated\" : meta['power_dc_rated'],\n", + " \"temperature_cell\" : df.Tcell,\n", + " \"poa_global_ref\" : 1000,\n", + " \"temperature_cell_ref\": 25,\n", + " \"gamma_pdc\" : meta['gamma_pdc']}\n", + "\n", + "# Calculate the normaliztion, the function also returns the relevant insolation for\n", + "# each point in the normalized PV energy timeseries\n", + "normalized, insolation = rdtools.normalize_with_pvwatts(df.energy, pvwatts_kws)\n", + "\n", + "df['normalized'] = normalized\n", + "df['insolation'] = insolation" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## 2: Filter" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": {}, + "outputs": [], + "source": [ + "# Calculate a collection of boolean masks that can be used\n", + "# to filter the time series\n", + "normalized_mask = rdtools.normalized_filter(df['normalized'])\n", + "poa_mask = rdtools.poa_filter(df['poa'])\n", + "tcell_mask = rdtools.tcell_filter(df['Tcell'])\n", + "clip_mask = rdtools.clip_filter(df['power'])\n", + "\n", + "# filter the time series and keep only the columns needed for the\n", + "# remaining steps\n", + "filtered = df[normalized_mask & poa_mask & tcell_mask & clip_mask]\n", + "filtered = filtered[['insolation', 'normalized']]" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## 3: Aggregate and remove outliers" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "[]" + ] + }, + "execution_count": 6, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": "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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# Calculate the daily normalized energy\n", + "daily = rdtools.aggregation_insol(filtered.normalized, filtered.insolation, frequency = 'D')\n", + "\n", + "# Plot unfiltered data\n", + "fig, ax = plt.subplots(figsize=(8, 4))\n", + "ax.plot(daily.index, daily, 'o', color='r', alpha=.7)\n", + "ax.set_ylim(0.6, 1.1)\n", + "fig.autofmt_xdate()\n", + "ax.set_ylabel('Normalized energy');\n", + "\n", + "# The CODS algorithm typically performs better if outliers are removed,\n", + "# for instance in this manner\n", + "rolling_median = daily.rolling(15, 1, center=True).median()\n", + "noise = (daily - rolling_median).abs()\n", + "Q3, Q1 = noise.quantile(.75), noise.quantile(.25)\n", + "outliers = noise > Q3 + 3 * (Q3 - Q1)\n", + "daily[outliers] = np.nan\n", + "\n", + "# Plot filtered data\n", + "ax.plot(daily.index, daily, 'o', alpha=.7)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## 4: Run CODS\n", + "\n", + "CODS can be run in two ways - either by setting up an instance of `rdtools.soiling.CODSAnalysis` and running the method `run_bootstrap`, or by directly running `rdtools.soiling.soiling_cods`. Here we will show how to do the first option, as this makes more information available, and since the second option is more straightforward. We start by setting up an instance of `rdtools.soiling.CODSAnalysis`:" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "metadata": {}, + "outputs": [], + "source": [ + "CODS = CODSAnalysis(daily)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "We continue to run `run_bootstrap`. The parameter `reps` decides how many repetitions of the bootstrapping procedure should be performed. `reps` needs to be a multiple of 16, and the minimum is 16. However, to give real confidence intervals, we recommend running it with 512 repetitions. In this case we use 16 to to avoid overly much time use. The parameter `verbose` decides whether to output information about the process during the calculation." + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Initially fitting 16 models\n", + "# 16 | Used: 1.8 min | Left: 0.0 min | Progress: [----------------------------->] 100 %\n", + " order dt pt ff RMSE SR==1 weights \\\n", + "0 (SR, SC, Rd) 0.25 0.666667 True 0.016755 0.137289 0.064653 \n", + "1 (SR, SC, Rd) 0.25 0.666667 False 0.016978 0.155571 0.062793 \n", + "2 (SR, SC, Rd) 0.25 1.500000 True 0.016847 0.166954 0.062662 \n", + "3 (SR, SC, Rd) 0.25 1.500000 False 0.016872 0.166954 0.062572 \n", + "4 (SR, SC, Rd) 0.75 0.666667 True 0.016895 0.143153 0.063785 \n", + "5 (SR, SC, Rd) 0.75 0.666667 False 0.017056 0.143153 0.063185 \n", + "6 (SR, SC, Rd) 0.75 1.500000 True 0.016964 0.167299 0.062213 \n", + "7 (SR, SC, Rd) 0.75 1.500000 False 0.017116 0.199034 0.060028 \n", + "8 (SC, SR, Rd) 0.25 0.666667 True 0.016884 0.153501 0.063254 \n", + "9 (SC, SR, Rd) 0.25 0.666667 False 0.016964 0.161090 0.062548 \n", + "10 (SC, SR, Rd) 0.25 1.500000 True 0.016836 0.166954 0.062706 \n", + "11 (SC, SR, Rd) 0.25 1.500000 False 0.016885 0.175578 0.062064 \n", + "12 (SC, SR, Rd) 0.75 0.666667 True 0.016906 0.143843 0.063706 \n", + "13 (SC, SR, Rd) 0.75 0.666667 False 0.017072 0.153501 0.062559 \n", + "14 (SC, SR, Rd) 0.75 1.500000 True 0.016984 0.172473 0.061867 \n", + "15 (SC, SR, Rd) 0.75 1.500000 False 0.017168 0.208003 0.059404 \n", + "\n", + " small_soiling_signal \n", + "0 False \n", + "1 False \n", + "2 False \n", + "3 False \n", + "4 False \n", + "5 False \n", + "6 False \n", + "7 False \n", + "8 False \n", + "9 False \n", + "10 False \n", + "11 False \n", + "12 False \n", + "13 False \n", + "14 False \n", + "15 False \n", + "\n", + "Bootstrapping for uncertainty analysis (16 realizations):\n", + "# 16 | Used: 0.5 min | Left: 0.0 min | Progress: [----------------------------->] 100 %\n", + "Final RMSE: 0.01722\n" + ] + } + ], + "source": [ + "results_df, degradation, soiling_loss = CODS.run_bootstrap(reps=16, verbose=True)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Another alternative, if you don't need confidence intervals, is to run the `iterative_signal_decomposition`-method. It gives you all the different component estimates, but it does not use time on doing bootstrapping, so it is much faster than the `run_bootstrap`-method:" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
soiling_ratiosoiling_ratescleaning_eventsseasonal_componentdegradation_trendtotal_modelresiduals
2008-11-14 00:00:00+09:301.0-0.005374False0.9932141.0000000.8912880.903519
2008-11-15 00:00:00+09:301.00.000000False0.9932580.9999850.8913140.937192
2008-11-16 00:00:00+09:301.00.000000False0.9933040.9999690.891342NaN
2008-11-17 00:00:00+09:301.00.000000False0.9933530.9999540.891372NaN
2008-11-18 00:00:00+09:301.00.000000False0.9934040.9999380.8914040.912726
\n", + "
" + ], + "text/plain": [ + " soiling_ratio soiling_rates cleaning_events \\\n", + "2008-11-14 00:00:00+09:30 1.0 -0.005374 False \n", + "2008-11-15 00:00:00+09:30 1.0 0.000000 False \n", + "2008-11-16 00:00:00+09:30 1.0 0.000000 False \n", + "2008-11-17 00:00:00+09:30 1.0 0.000000 False \n", + "2008-11-18 00:00:00+09:30 1.0 0.000000 False \n", + "\n", + " seasonal_component degradation_trend total_model \\\n", + "2008-11-14 00:00:00+09:30 0.993214 1.000000 0.891288 \n", + "2008-11-15 00:00:00+09:30 0.993258 0.999985 0.891314 \n", + "2008-11-16 00:00:00+09:30 0.993304 0.999969 0.891342 \n", + "2008-11-17 00:00:00+09:30 0.993353 0.999954 0.891372 \n", + "2008-11-18 00:00:00+09:30 0.993404 0.999938 0.891404 \n", + "\n", + " residuals \n", + "2008-11-14 00:00:00+09:30 0.903519 \n", + "2008-11-15 00:00:00+09:30 0.937192 \n", + "2008-11-16 00:00:00+09:30 NaN \n", + "2008-11-17 00:00:00+09:30 NaN \n", + "2008-11-18 00:00:00+09:30 0.912726 " + ] + }, + "execution_count": 9, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "df_out, CODS_results_dict = \\\n", + " CODS.iterative_signal_decomposition()\n", + "df_out.head()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## 5: Visualize the results" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Avg. Soiling loss 1.854 (1.436, 2.300) (%)\n", + "Degradation rate -0.555 (-0.647, -0.474) (%)\n" + ] + } + ], + "source": [ + "# The average soiling loss over the period with 95 % confidence intervals\n", + "# can be accessed through the soiling_loss attribute of CODS\n", + "soiling_loss = CODS.soiling_loss\n", + "print('Avg. Soiling loss {:.3f} ({:.3f}, {:.3f}) (%)'.format(soiling_loss[0], soiling_loss[1], soiling_loss[2]))\n", + "\n", + "# The estimated degradatio rate over the period with 95 % confidence intervals\n", + "# can be accessed through the degradation attribute of CODS\n", + "degradation = CODS.degradation\n", + "print('Degradation rate {:.3f} ({:.3f}, {:.3f}) (%)'.format(degradation[0], degradation[1], degradation[2]))" + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "metadata": { + "tags": [ + "nbsphinx-thumbnail" + ] + }, + "outputs": [ + { + "data": { + "image/png": "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\n", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# The dataframe containing the time series of the different component fits\n", + "# can be accessed through CODS.result_df\n", + "result_df = CODS.result_df\n", + "\n", + "# Let us plot the time series of the results\n", + "# First: daily normalized energy along with the total model fit and degradation trend\n", + "fig, (ax1, ax2, ax3) = plt.subplots(3, 1, figsize=(10, 8))\n", + "ax1.plot(daily.index, daily, 'o', alpha = 0.3)\n", + "ax1.plot(result_df.index, result_df.degradation_trend * CODS.residual_shift, color='g', linewidth=1,\n", + " label='Degradation trend')\n", + "ax1.plot(result_df.index, result_df.degradation_trend * result_df.seasonal_component * CODS.residual_shift,\n", + " color='C1', linewidth=1, label='Degradation * seasonal component * residual shift')\n", + "ax1.plot(result_df.index, result_df.total_model, color='k', linewidth=1,\n", + " label='model fit')\n", + "ax1.set_ylim(0.6, 1.1)\n", + "ax1.set_ylabel('Normalized\\nenergy')\n", + "ax1.legend(bbox_to_anchor=(0.075, 1.1))\n", + "\n", + "# Second: soiling ratio with 95 % confidence intervals\n", + "ax2.plot(result_df.index, result_df.soiling_ratio, color='r', linewidth=1,\n", + " label='Soiling Ratio')\n", + "ax2.fill_between(result_df.index, result_df.SR_low, result_df.SR_high,\n", + " color='r', alpha=.1, label='95 % confidence interval')\n", + "ax2.set_ylabel('Soiling Ratio')\n", + "ax2.legend()\n", + "\n", + "# Third: The residuals\n", + "ax3.plot(result_df.index, result_df.residuals, color='k', linewidth=1)\n", + "ax3.set_ylabel('Residuals');\n", + "\n", + "fig.autofmt_xdate()" + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "metadata": {}, + "outputs": [ + { + "data": { + "text/html": [ + "
\n", + "\n", + "\n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + " \n", + "
soiling_ratiosoiling_ratescleaning_eventsseasonal_componentdegradation_trendtotal_modelresidualsSR_lowSR_highrates_lowrates_highbt_soiling_ratiobt_soiling_ratesseasonal_lowseasonal_highmodel_lowmodel_high
2008-11-14 00:00:00+09:301.000000-0.0053410.0000000.9905581.0000000.8853610.9059410.9942251.000000-0.005210-0.0006450.870846-0.0025320.9874480.9934310.8895570.896195
2008-11-15 00:00:00+09:301.0000000.0000000.0000000.9906360.9999850.8854170.9396730.9946841.0000000.0000000.0000000.870787-0.0000670.9874710.9935220.8895460.896180
2008-11-16 00:00:00+09:301.0000000.0000000.0000000.9907160.9999700.885475NaN0.9908961.000000-0.0004500.0000000.927635-0.0004120.9874980.9936160.8886790.895974
2008-11-17 00:00:00+09:301.0000000.0000000.0000000.9907980.9999540.885535NaN0.9900921.000000-0.0009000.0000000.927152-0.0007340.9875280.9937100.8863910.895959
2008-11-18 00:00:00+09:301.0000000.0000000.0000000.9908830.9999390.8855970.9150470.9882701.000000-0.0044360.0000000.995945-0.0015520.9875630.9938070.8864620.895439
......................................................
2016-10-17 00:00:00+09:300.969627-0.0007900.1218480.9894400.9560250.8197930.8720900.9623840.976346-0.001528-0.0005300.969440-0.0009620.9870380.9922280.8223380.836088
2016-10-18 00:00:00+09:300.968839-0.0007880.0699250.9894410.9560100.8191140.8900610.9609550.974488-0.001528-0.0005230.968502-0.0009610.9871230.9922190.8217380.836060
2016-10-19 00:00:00+09:300.968051-0.0007870.0000000.9894460.9559950.8184390.9060980.9595260.972967-0.001528-0.0005220.967544-0.0009600.9872120.9922130.8211400.836032
2016-10-20 00:00:00+09:300.967265-0.0007860.0000000.9894540.9559800.8177680.9074130.9580980.971972-0.001528-0.0005220.966587-0.0009600.9872490.9922100.8205430.836005
2016-10-21 00:00:00+09:300.973523-0.0004220.0000000.9894640.9559650.8230540.9499430.9571600.971610-0.001501-0.0004840.965998-0.0009390.9872860.9922090.8203960.836119
\n", + "

2899 rows × 17 columns

\n", + "
" + ], + "text/plain": [ + " soiling_ratio soiling_rates cleaning_events \\\n", + "2008-11-14 00:00:00+09:30 1.000000 -0.005341 0.000000 \n", + "2008-11-15 00:00:00+09:30 1.000000 0.000000 0.000000 \n", + "2008-11-16 00:00:00+09:30 1.000000 0.000000 0.000000 \n", + "2008-11-17 00:00:00+09:30 1.000000 0.000000 0.000000 \n", + "2008-11-18 00:00:00+09:30 1.000000 0.000000 0.000000 \n", + "... ... ... ... \n", + "2016-10-17 00:00:00+09:30 0.969627 -0.000790 0.121848 \n", + "2016-10-18 00:00:00+09:30 0.968839 -0.000788 0.069925 \n", + "2016-10-19 00:00:00+09:30 0.968051 -0.000787 0.000000 \n", + "2016-10-20 00:00:00+09:30 0.967265 -0.000786 0.000000 \n", + "2016-10-21 00:00:00+09:30 0.973523 -0.000422 0.000000 \n", + "\n", + " seasonal_component degradation_trend total_model \\\n", + "2008-11-14 00:00:00+09:30 0.990558 1.000000 0.885361 \n", + "2008-11-15 00:00:00+09:30 0.990636 0.999985 0.885417 \n", + "2008-11-16 00:00:00+09:30 0.990716 0.999970 0.885475 \n", + "2008-11-17 00:00:00+09:30 0.990798 0.999954 0.885535 \n", + "2008-11-18 00:00:00+09:30 0.990883 0.999939 0.885597 \n", + "... ... ... ... \n", + "2016-10-17 00:00:00+09:30 0.989440 0.956025 0.819793 \n", + "2016-10-18 00:00:00+09:30 0.989441 0.956010 0.819114 \n", + "2016-10-19 00:00:00+09:30 0.989446 0.955995 0.818439 \n", + "2016-10-20 00:00:00+09:30 0.989454 0.955980 0.817768 \n", + "2016-10-21 00:00:00+09:30 0.989464 0.955965 0.823054 \n", + "\n", + " residuals SR_low SR_high rates_low \\\n", + "2008-11-14 00:00:00+09:30 0.905941 0.994225 1.000000 -0.005210 \n", + "2008-11-15 00:00:00+09:30 0.939673 0.994684 1.000000 0.000000 \n", + "2008-11-16 00:00:00+09:30 NaN 0.990896 1.000000 -0.000450 \n", + "2008-11-17 00:00:00+09:30 NaN 0.990092 1.000000 -0.000900 \n", + "2008-11-18 00:00:00+09:30 0.915047 0.988270 1.000000 -0.004436 \n", + "... ... ... ... ... \n", + "2016-10-17 00:00:00+09:30 0.872090 0.962384 0.976346 -0.001528 \n", + "2016-10-18 00:00:00+09:30 0.890061 0.960955 0.974488 -0.001528 \n", + "2016-10-19 00:00:00+09:30 0.906098 0.959526 0.972967 -0.001528 \n", + "2016-10-20 00:00:00+09:30 0.907413 0.958098 0.971972 -0.001528 \n", + "2016-10-21 00:00:00+09:30 0.949943 0.957160 0.971610 -0.001501 \n", + "\n", + " rates_high bt_soiling_ratio bt_soiling_rates \\\n", + "2008-11-14 00:00:00+09:30 -0.000645 0.870846 -0.002532 \n", + "2008-11-15 00:00:00+09:30 0.000000 0.870787 -0.000067 \n", + "2008-11-16 00:00:00+09:30 0.000000 0.927635 -0.000412 \n", + "2008-11-17 00:00:00+09:30 0.000000 0.927152 -0.000734 \n", + "2008-11-18 00:00:00+09:30 0.000000 0.995945 -0.001552 \n", + "... ... ... ... \n", + "2016-10-17 00:00:00+09:30 -0.000530 0.969440 -0.000962 \n", + "2016-10-18 00:00:00+09:30 -0.000523 0.968502 -0.000961 \n", + "2016-10-19 00:00:00+09:30 -0.000522 0.967544 -0.000960 \n", + "2016-10-20 00:00:00+09:30 -0.000522 0.966587 -0.000960 \n", + "2016-10-21 00:00:00+09:30 -0.000484 0.965998 -0.000939 \n", + "\n", + " seasonal_low seasonal_high model_low model_high \n", + "2008-11-14 00:00:00+09:30 0.987448 0.993431 0.889557 0.896195 \n", + "2008-11-15 00:00:00+09:30 0.987471 0.993522 0.889546 0.896180 \n", + "2008-11-16 00:00:00+09:30 0.987498 0.993616 0.888679 0.895974 \n", + "2008-11-17 00:00:00+09:30 0.987528 0.993710 0.886391 0.895959 \n", + "2008-11-18 00:00:00+09:30 0.987563 0.993807 0.886462 0.895439 \n", + "... ... ... ... ... \n", + "2016-10-17 00:00:00+09:30 0.987038 0.992228 0.822338 0.836088 \n", + "2016-10-18 00:00:00+09:30 0.987123 0.992219 0.821738 0.836060 \n", + "2016-10-19 00:00:00+09:30 0.987212 0.992213 0.821140 0.836032 \n", + "2016-10-20 00:00:00+09:30 0.987249 0.992210 0.820543 0.836005 \n", + "2016-10-21 00:00:00+09:30 0.987286 0.992209 0.820396 0.836119 \n", + "\n", + "[2899 rows x 17 columns]" + ] + }, + "execution_count": 12, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "result_df" + ] + } + ], + "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": "3.10.4" + } + }, + "nbformat": 4, + "nbformat_minor": 2 +} diff --git a/docs/degradation_and_soiling_example_pvdaq_4.ipynb b/docs/degradation_and_soiling_example_pvdaq_4.ipynb index 2c726520e..f7325ce1b 100644 --- a/docs/degradation_and_soiling_example_pvdaq_4.ipynb +++ b/docs/degradation_and_soiling_example_pvdaq_4.ipynb @@ -89,7 +89,7 @@ "outputs": [ { "data": { - "image/png": "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\n", + "image/png": "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", "text/plain": [ "
" ] @@ -167,7 +167,7 @@ "outputs": [ { "data": { - "image/png": "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\n", + "image/png": "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", "text/plain": [ "
" ] @@ -202,7 +202,7 @@ "outputs": [ { "data": { - "image/png": "iVBORw0KGgoAAAANSUhEUgAAAawAAAEVCAYAAAC8DdERAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjUuMCwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy8/fFQqAAAACXBIWXMAAA9hAAAPYQGoP6dpAACdHUlEQVR4nOy9d5gkV32o/Vau6jx5Nmu1CkgIIWQhCZsksMl8xiALG4tom3ANhosNWDI2RiYY2+DEBSOMLWGDsSVkuARjwAYElyBQjqvV5t3J09Oxcvj+qO4JO2F7eronrOp9nnlmpru66nTVOed3fvEIURRFJCQkJCQkbHLEjW5AQkJCQkJCKyQCKyEhISFhS5AIrISEhISELUEisBISEhIStgSJwEpISEhI2BIkAishISEhYUuQCKyEhISEhC1BIrASEhISErYEicBKSEhISNgSJAIrISEhIWFLsKkE1k9/+lPe+ta38sQnPpF0Os3u3bu55pprePTRR1v6fKlU4o1vfCMDAwOk02muuuoq7rrrri63OiEhISFhPRA2Uy3Bq6++mv/3//4fv/qrv8rFF1/M2NgYH//4x6nVavz4xz/moosuWvazYRjyjGc8g3vvvZd3vetd9Pf384lPfILjx49z5513cu65567jN0lISEhI6DSbSmD98Ic/5LLLLkNV1dnXDhw4wJOe9CSuvvpq/uVf/mXZz/77v/87r3zlK7nlllu4+uqrAZicnOS8887jhS98IZ///Oe73v6EhISEhO6xqQTWcvzcz/0cAHfeeeeyx1xzzTXcfvvtjIyMIIpzls43velN/Mu//AvFYhFN07re1oSEhISE7rCpfFhLEUUR4+Pj9Pf3r3jc3XffzaWXXrpAWAFcfvnlmKbZsh8sISEhIWFzIm90A07H5z73OU6ePMkNN9yw4nGjo6M885nPXPT6tm3bABgZGeFJT3rSkp91HAfHcWb/D8OQYrFIX18fgiCsofUJCQkJCSsRRRHVapXt27cvUjhOZVMLrEceeYTf+Z3f4WlPexqvfe1rVzzWsqwlTX66rs++vxwf/vCHef/737+2xiYkJCQktM3x48fZuXPnisdsWoE1NjbGi1/8YvL5PLfeeiuSJK14vGEYC7SkJrZtz76/HNdddx3vfOc7Z/8vl8vs3r2b48ePk8vl2mq/F4R4QYgiiSiSuOj/pY5JSFgtSR9K2OpUKhV27dpFNps97bGbUmCVy2Ve+MIXUiqV+P73v8/27dtP+5lt27YxOjq66PXmayudQ9O0JbWzXC7XtsBaieYkIwNyEAJgqHIy4SSsGtP10SIQBUipm3I4JyS0RCvul003Q9q2zUtf+lIeffRRvvrVr3LhhRe29LlLLrmEu+66izAMF7z+k5/8hFQqxXnnndeN5raFF4SEUTzZOH6I68cCLCFhtSiSiCiQLHaWwQtCTNfvyPjq5LkS2mNT9fIgCHjlK1/Jj370I2655Rae9rSnLXnc6OgojzzyCJ7nzb529dVXMz4+zm233Tb72tTUFLfccgsvfelLNzykfX5nVySRoCFYRQFUOTHnJLSHIomkEu18WUzXp+74mK6/5nM1F5qJwNo4NpUN4fd+7/f4v//3//LSl76UYrG4KFH42muvBWKf080338zhw4c566yzgFhgXXnllbz+9a/noYcemq10EQTBpgiomN/ZmxNMGEEQhsmEk5DQRTqVaNr0RSdjdePYVALrnnvuAeArX/kKX/nKVxa93xRYSyFJEl//+td517vexd/+7d9iWRZPfepTuemmmzj//PO71eSWObWzK5KI6fpIYjIIIAkeSOgO8WKwM+Mr6Zsbz5aodLHeVCoV8vk85XK5Y0EXzQm5yfxIwWQgxKabMAkeSNgCJIurhaz1fqxmvk3u9jrgBSFly8Xxw9mJObGDLyQJHkjoBt0IlEh8WQtZz/uRzA7rgBeESKI4669qTsxJx58jCR5I6AbdGGNbdXHVrSjH9bwfie1lHWgKJ7GhMs9/sKbrE0Dix9pAEhPPmUs3AiW2aj+ZL7y36v3Yend9C9J8oM0Ai9O9nrC+JJrumUuiuc+xVTXD+Wzdlm8xmp0FWKCWnwmdaKuTPIMzF9P1marZHcnD2uqcKry3YiJ0YhLsAs2OAMx2kObP/KALZQkTYcL6kzyDM5fpmkPN8cloAaneZLqbT7dMhN1ka7Ryi+EF4bIll5LVfELC+mG7PjN1BzvRsBbRqbloPTW1ZMnRBZodwQtOn+KWOPxjkvuQ0A10VaaQin8nLKRTY209NbXkKXaBpq04XEJezX+4XhAyXXPQFYm09vh2DG9F80TC5qcvo2GoUpKM3kXWs2RV8hS7xFIPsSmkmq+bboAoCNheQCGlbmBrN56kTltCN0ipciKsusx6WkWSJ9ll5guoZgJx87cihSAJSdgtSeBDQndITM1nFonA6hJNE5ft+eiKPBs12HRMBmFI3lCTQZSQ0EUSU/OZRfIEu0Qz8KJZiglAEuPbrStysuJLSFgnbC+JEDxTSDSsLrFUCSbT9ZOw9oSOsVS+X8JidCWZ5rrJeppdkx6+jjQ1K4Cy5SbZ9wlrYqV8v4SYZIHYfdaztFmy9FgHmithyw0wVImq5WF7EVndJ9Wb2ejmJWxRFElEk+c2BE1YTHPsJRpo99j0Ye2u66Kqj+8w7NVguj6mE8QrkChismqjSCIZXd/opiVsYRRJJG8k43AlypaH4wV4QZSEt3eJTV+tfXh4mDe+8Y18//vf73R7zijmlyyRJQFVFrG8EEORURWZvoy26LiEhITOoUgCgiCgSMJGN+WMZT3nr7YE1tVXX80Xv/hFnv3sZ3PWWWfx3ve+l4cffrjTbdvSmK7PWNmi7sSBFoWUynDeoDejkk+pDOW02RVfsr1FQkJ3SKkyaS2pdNFNTNen7vjr4pNvS2DdeOONjI2Nceutt3LZZZfx0Y9+lIsuuojLLruMv/mbv2F8fLzT7dxSNEsuBWFEzfaAObU5b6j0Z7UFppzEMZyQ0D2SKMHuc/qqqZ2h7RlSURR+5Vd+hVtvvZXx8XFuvPFG8vk8v/d7v8euXbt40YtexOc//3ksy+pke7cEpusTRRFhBFlDma1usVz4Z7LJXEJCd/CCkJm603HrRWLGnyOlymS09SmBJURR1DHh+LOf/YyPfOQjfPGLX5x9LZvN8sY3vpE/+ZM/IZ1Od+pSXaVSqZDP5ymXy+RyuVV/vmy5uH6IKseCqNmpK5aL60cIAuQMZYFJMEkkTkjoPFM1myAESYT+TOeCnJr72jWLAyS0z2rm2zXf6cOHD/O5z32Oz33uczz66KP09fXx1re+lde85jWoqsqNN97I3/7t33Lo0KEFguxMJtaWFm7QWLZcTCeg7gWkFAnXD+NagpCUjkloi6ROXmuUTZfeTGejKZNizRtDWwJrenqaf/u3f+Nf/uVf+MlPfoKqqrzkJS/hz//8z3nhC1+ILM+d9uMf/zi7du3ihhtu6FijNztLTSBWo9KFLovkUwowJ6QS/1VCOzQTh03XT+pSLkPV8qg5HookdFTDShYJG0NbAmvbtm34vs/TnvY0PvGJT/DKV76SQqGw7PFPfOITGRwcbLeNW5KlVr8ZXUVX4oFjun4y2SSsiXiLGn/WR5r0ocVUbY+y6SGLSVj7mUBbAuv666/n1a9+Nfv27Wvp+Je85CW85CUvaedSWxIvCJmqOURRRFqTyRsqOUNFlvwF9u5S3UEUhSQBNKEtmv0mEVbLYygSmiJhKNJGNyWhA7QlsP7kT/6kw804s/CCEM8PsNw48AKW3khOUyT8YL0CQhOWYyv7grZim9cb108i+c4U2hJYt99++4rvC4KAruvs3LmTbdu2tdWwrYwiiQiCgDQvu/7USVGRRNLa3O2fqtnJ7qgbxFbcM2krC9nT0cnv5gURGV3GSxaGZwRtzY7PfvazEYTWbMLnnnsu73//+3nlK1/ZzqW2JIokkjMUHH9uAjRdfzbUvemzapoBm6G3zSKdCevLVoz4agrZ5pY1Z5Lg6uQCImfIVB2fnJGMqzOBtp7iN77xDd7znvfgOA6//du/zTnnnAPAgQMH+Id/+AcMw+C9730vR48e5VOf+hSvetWrkCSJq6++uqON38ycOgnGiYYBTTnf3B+rqVU1J575E1DC+rAV73ezfwWceWkRnVxAeEGEJouJhnWG0Fbi8Dvf+U5+9KMf8b3vfW9R1Xbbtnn2s5/Ns571LD7ykY9g2zaXXXYZhmHw05/+tGMN7yZrTRyGWGsynYCUJtGf0TlRrDFd8+jLKOzszTBVs3G8kDCKGM4bs7lajh+iyUkQRkJrnMmmwU7w0EiJsumRTylcuL2w0c05I1lrH1zNfNtWD//c5z7Hq171qiW3GNF1nd/4jd/g5ptvnv3/2muv5aGHHmrnUlsWyw2oOfEeWABuAEEYMF51ZzUr1w+IGmadJknwbcJqSMp6rUxKERGE+HdCd1jP4t1tPcV6vb5igdvR0VFqtdrs/4VCAUl6/ISVNh+cKosYavy9+zIqNLY5KFseKVWmN6PNvg/NytJJ4EVCQqeQJImcoT6u5p/1Zj2LH7R1hec85zn89V//NV/96lcXvfeVr3yFv/mbv+E5z3nO7Gv33HMPZ511VtuN3Gp4QUhGVyiklFnTXt5Q2V4wUCUJoVHbeL6ASoppJiR0HoEI1w9mx1xC51lPLb+tpfzHP/5xrrrqKn75l3+ZHTt2zCYQHzx4kJMnT7Jnzx7+7u/+Doh9WseOHeO3fuu3OtfqTU4zeMILogXOY1kSUSUByw0oW+5swIUXhI2CuRGKJMzWIUxISFgbXhA1zFWJwDoTaEtg7d69m/vvv5+///u/57/+6784evQoABdccAHveMc7eNOb3jRbmV3Xdb7+9a93rsVbgKawEQVhQai6IonIjQioOJnRn42IkkQRUfBRZSkRVgkJHSTxC8ecCQE6qxZYtm1z4403cskll/DOd76Td77znd1o15anGao+fwsRy/WxvQBDlVDlWFCZjo8fRuQMhb6MvmU7UsL6cyZMQN1GV2VSfoie+IW3ZIL8qay61bqu8573vIf9+/d3vDG1Wo33ve99vOAFL6C3txdBELjpppta+uxNN92EIAhL/oyNjXW8rafjVLtuXFk7mg3EaCYPVyyPsuVt6U6UsDGsZ3TWViWlSvRkNFJqEnRxJuwM0day46KLLuLIkSMdbgpMTU1xww03sHv3bp785Cfz3e9+d9XnuOGGG9i7d++C11aqJN8Nmj4pSYw7xlwpJomq5WG5wWwoe83xcXwf1w+SIrgJq2IrVuhYb+bvTfd450zQxNsSWB/84Ad51atexVVXXcUv/uIvdqwx27ZtY3R0lOHhYX72s5/x1Kc+ddXneOELX8hll13WsTa1g+n6WI6PF8JwPt6DR5FE+jM6fhBiexEVy0WWRPozGo9NuOgKTNfcRGAltMyZMAElJKyGtqMEe3t7ef7zn8/evXvZu3cvhmEsOEYQBL785S+v6ryapjE8PNxOkxZQrVZJpVIbmnvhNqKSmuaaZti65QYEEciSEqvoosD2vI4TRCRWi4THO532yzX3nUuqx5wZtCWw7rvvPgRBYPfu3QRBwGOPPbbomFaL43aaq666ilqthqqqPP/5z+ejH/0o55577rq2IaXKqLKH44cLBJbjh+iKhCLP7WPUk9ZQJAFRFBs1zxJHesLjl24EBiRRgmcObQmsbviv1koqleJ1r3sdV111FblcjjvvvJOPfexj/PzP/zx33XUXu3btWvazjuPgOM7s/5VKZU1tiYWNQN2J8OcJrLrtoavybMCF6fpULA9DlWYDNM6ESJ6EhHbptF8u8WGdWZwxsZ7XXHMN11xzzez/L3vZy3j+85/PM5/5TD74wQ/y93//98t+9sMf/jDvf//7O9qeCAFdiatEx5XZA1RZwm9oUM3q7c3XYM4cAqAlYbgJj0M6bVlILBVnFm0/ySAI+MIXvsCb3vQmfuVXfoX7778fgHK5zG233bZircH14ulPfzpXXHEF3/72t1c87rrrrqNcLs/+HD9+fM3XTqkSkiggSyJhBIokEEYRsigwXXNw/BCBCNPxMN3YXGi6PpJ4Zu1tlJCQkNAp2lrGl0olXvCCF3DHHXeQyWSo1+u87W1vAyCTyfC7v/u7vOY1r+FDH/pQRxvbDrt27TptzpimaWia1vFra4qEKEAQhtQsl7IdYCgSGV2mVI9NkO48P1fOkLG9ZBPH9SbxGyYktM96jp+2zv4Hf/AHPPjgg/zXf/0Xhw4dYv6WWs2NGjdLOaZDhw4xMDCw7tc13YCZmoMXRCiSSMkK8IIAPwgRBQgjAdPxmarajFdsTNfDCyJ0JRFW602SgJuQ0D6bfnuRL33pS7ztbW/jl37pl5aMBjzvvPO6GpgxOjrKI488gud5s69NTk4uOu7rX/86d955Jy94wQu61pblcNyGqc/1UCSRgiERhLFpMBZicSSlJIkIQkTV9rFdnyBMHMTrzVauAGC6frxZ6Lw91RK6Q7KjwtKs5/hpazlfLpcXVZOYj+d5+H57A+jjH/84pVKJkZERIN6u5MSJEwC87W1vI5/Pc91113HzzTdz+PDh2W1Lfv7nf56nPOUpXHbZZeTzee666y7+8R//kV27dnH99de31Za1ECICHiFxvlVPRkcUJWZqNhXLpzejMpjXyeoyRVNGFgTChqK6FSfOrcxWNgWark8QsqBuZUJ3aGoSpuvP9pmt2m+2Km318H379nHXXXct+/43v/lNLrzwwrYa9Jd/+Zez1d8BbrvtNm677TYArr32WvL5/JKfe+UrX8nXvvY1vvnNb2KaJtu2beO3f/u3ed/73sfQ0FBbbVkLqgSiIBIG8QrYcgNqlsvRGZO8oZINlNnwdkGA6bq3oTv2JH6crcmpRZYTukcz5D6AMyL1pFNjfj1Tcdrq5b/1W7/Fe97zHp797Gfz3Oc+F4jNW47jcMMNN/CNb3yDG2+8sa0GtWJKvOmmmxYVxf3ABz7ABz7wgbau2Q0iBDRFpO6FZENi35Uk0ZOSCcKIlDpXFLds+rhegCqCFyiULXf2wa+XAEnyv7YmzT3VErpPcyzGaSpbf5HQqTG/njUt27rjb3/723nwwQf59V//9dnCsq961auYnp7G933e9KY38Zu/+ZudbOeWwgtCbNen5vgUdIkoCjFUCUMFUUijKSJZQ6VsuZRNl4lyHR8JSYrNgs3IQV2R160jJIVUExJa50wIjtqKY76tuy4IAp/+9Kd57Wtfy6233sqBAwcIw5B9+/ZxzTXX8MxnPrPT7dxSNFcuURjhBrG2JYkCogBDeR2r4bidqTlUnQBPEEirEkIYEoYhcmNrElg/f1ZiCtwY1mqWSUy5KzNfG+qURrQVJ/qlmN9n1tKPpms2JdOjkFIYzqe60dRZ1vQEn/70p/P0pz+9U205Y1AkkZQm44URoihgOx6TVQdDVygYCpoi4fkhlhcQBAG+H+CJElpKI6OriAJb3tyQ0BprNcskptyV6UZQylZdHKwklNbSjyw3IIzi390mmRW7gCKJ9GXiorYAFcvHj6BiucwvyK7LImNlG0OVSWsiQhRRtT3yhrIxDU9Yd9a6Wj9TVvvdIglKmWMlobSWftSb0ahYHrl1mLfa6uVRFPGpT32Kyy+/nP7+fiRJWvQjy0kH0RS5Yd4TkYhwvABRFNAVKX64gkh/WiUERFFCFEUsx5/dgTjhzOfUnanX+/NnOilVpj+jd0RgbfU8rJXypdbSj/KGyq7e9Lps39LWU3z3u9/Nxz72MS655BKuvfZaenp6Ot2uM4Ka7SGLApYbEAkCWV3G83wmKxGyJCISEokiO/Ip8oaC7cWqtecHlC13Nuw9IWErs5F+tk76sLa6+bVb978bfsLlaOvsN998M694xSv493//906354zBC8JYWHkhqiKjiC6hICLKMo4XMFaxyOtKvB+WHPu8FFmkann4IUhiYupJODM4MlnlRMlmZ0Hn3OGl8yi7RSd9WIn5dWnWM3m9rTtvWRa/+Iu/2Om2nDF4Qchk2eRkyUYkpJBS6M3opGSJwA+wGuWagihCVyWMxlbDFctHkSVSaryZ4+NpYGx1c0vC8oyULaq2y0jZWvdrp1QZSexMEFNifl0aRRJx/WBd7ktbV3juc5/LT3/600635YzBC0LGKw4nijVmzNi015vRkCURQ5MZyOrs6cuwvWAQhiEjMyaPjVWYLNcZr9gb3fwNwWzkra1nTbxESK4PmhAxVXXQhNPXcun0M+mkDytheXRFOv1BHaAtgfWJT3yCH//4x3zoQx9ienq60206IyjbHnYjdN0LQizXx/F83CDCUCWCMMQNoO6EjFdsDk3WGCnbqBJ4QfS4rB6+3luZJ1Xa14dJ08O0fSZN77THJs9ka7JeZeXaEljnn38+hw4d4o/+6I8YHBwknU6Ty+UW/CxX8+/xwvZ8iqGsxkBGx3R9xss2M7aHLIAbgO2FFKsWY2WT6brLaMnC9XxcP0IgDm8/kzjdyjmlyqS19S0ztJWrtG8lijWXibpNseae9tjkmWw9vCCkVHfXZZHR1uzwile8YsltRRJiFEmkP6uiKBJZQ2GkWGf/RBUxjAjCEE0SAYEgDOlJqRyYqAICtYb2JYoSsri+97fbkVyni7DaiAiyrZoAutXI6BIZTSWjn95slDyTrcdI0WSybmO7Ov0ZvavXaktgnVp4NmEhiiQiSRIpFUw3pO6GqKLAjOUhWwICAoNZg5yhUDRddFVCEkWGMhoZTUYUIlRZWteB2+2Q3STC6vHLYFan7sa/E848HN/HdsHRuu9/TjyRXUIgwrR9VFmgYEhMVOPqF5YbkNYlJBFsP6BkemQ1lWxBoqAp1Gyfnoy27tFI3RYoW3HlvFXq9G32dsqSgC6JyFJilTkTGS6kUWWH3ozW9Wu13buPHTvGm9/8Zs4//3x6enq4/fbbAZiamuJ3f/d3ufvuuzvWyK2KF4aEUUSEQE9KRZZAVQR0RaQnpVJ3A2qOh+O49KY06n7AdN2hYq6PPXg+ScjuYrZKAMB6t3O1uxxbfojtB1j++t/HZEfm7jOcNzh3OMdw3uj6tdrSsB566CGe8YxnEIYhV1xxBY899tjsDsP9/f384Ac/oF6v85nPfKajjd0qmK7PsakaJdunYCjkDQ1ZjP1WthuiiUFc/SIMEYU4H+uR0TJhFJLXNdKqNBugkAiR7rOchrJVzJjr3c6y5eF4AV4QtRQkM1I0efBEGVFY/0CsZEfm7mO6/mwtwW6XZ2q7NFOhUODHP/4xgiAwODi44P0Xv/jF/Nu//VtHGrgVKVseNSfAD+PJsG67hIAhi5iKSNHyydseiCJZQ+bkjIksxiaTnowKCExXHWRJpD9L251gs5uKNgvL+e+2yn1b73YKRNheiK60ds0j0yaTNZcj02aXW7Y0ZdOlN9P9OnePV4o1B9ML8YOw6wKrrV5+++2385a3vIWBgYElowV3797NyZMn19y4rYoiCfSnVTRZQBJF7CDE9T2Kts9o0WKmajNWshAESGsyhbQaRwzqEmlNIQpDjkxXmazaazLzlC2XyapD2Tp9OPHjmSSUenUYqkxfRsVoUWOJvJC65xN5nTMJribBOJ9KhFU30VUZWYh/d5u2rhCGIanU8ht1TU5Oomndd8BtVlKqjKHJ5MMIIYqwwzhasGq5VG0fWRIIBQHHj8jpMj2GQlaT0SSJnpTCVC1EV2X8cG3peJNli/Gqw1BW63q46VZmq2hSmwUvCJmpt661GLpCTpUx9M5tP9FqVGuyvUj36c9o5A1l85ZmuvTSS/na17625Hu+7/OFL3yBK6+8ck0N2+qEkYAbBPgInD2QYTCtokgyKUWgL62SUgQcx+dkyUKWBHKGgk/I4ak6qhAhCyI9qbV1gscma9x1bIbHJmsd/GYJj3cqlo8fhlSs1gIZaqbHdN2l1kKli1ZpVStOSjN1n/UscdbWbHjdddfxjW98g7e85S088MADAIyPj/Ptb3+b5z3veTz88MP8wR/8QUcbupVQJBHX8zhRspmuWczUXbwIetMyAwWDrKFiBxF1N6RuedTtMDathhBGMFJ10GQRQRDWNNAmKjYzdYeJx2l9woTuoErg+hFqi+Xj7DDAUCTssHM70rYa1ZrUi+w+8wNbuk1bs+ELX/hCbrrpJt7+9rdz4403AnDttdcSRRG5XI7PfvazPPOZz+xoQ7cSiiQSCQJCCFU73kpEiCLKps94yUZXRPIpBV2X8QKBmbqD5ftkNYmMLlMzfcq2hzsvaKIddFkgDCJ0Ocl/SegcXhBhez5e0Nr0kVJlqm6wIVrOVt/DaiugSCKWuz47Drfdg1796lfz8pe/nG9961scOHCAMAzZt28fz3/+88lms51s45bDdH3KdZu64yGLIAgqYxWHsZJNqeLgE5AzejBkCTUtcWK6jijCjB+yu1+GQOZI0WJbzliT/d0P41ywDUh/STiDmak71JwAte6wd+D0Y93zQ3oMBW8DOuJWSU3Y6qxXtfY1LXnS6TQve9nLOtSUMwfT9QkikbSuoCgiQSSAEBGEEdOWiyAGjJcsVEVEFEQGChply6dcd5GPFzE0iYyhEtJansvy7QgQETDd05tiNjoEfqOvn9A6AvFu2n2p1vpmNq3CjBX/PoVuP/ekP3Wf2OwasB7lZZMn2QUUSaRkuRybriOHASlZRJMUUqpERpcQkKnZAVNlj7GyhRAK1M2AyVKdh0dKlOseluMxmFHXJLCyugxC4/dp2OiqDht5/Y30c6z12hvRdi8IIYpavuZAWqUvozKwjMDaCtVEIPGHLUfsT1yf2qdJ6EwXaJohRAEmzYDtvRJZXULqM0jpMhMlm5QiYvk+nh9x1K0hSDJ1L8JQRRwvYqCgUHbCNZkECymVvQM5Ci3koWy06WQjr7+Rfo61Xrv5edP1Z7WJrn8HQUCWJVpdUhdrDmXHo1hzFr230f1uNST+sKVZz2eYCKwuoEgiWU3CD0ERI2qOjyQJKJFE3oCUJFFzPTzLx/JdFFFGjCIGcxqFlEZOlwj8iCgMqFhu2wKrL6VQND36Uqd3hm606WQjr7+Rk+Zar938fADrNpn2phQsN6S3hX4F4EcgCwL+EmmF3X7unTQ5biXhuhbauWe6sj6iJBFYXcALQlKazLaCRlaREAUwbR/HDxkrORwv1uhLy1RqIVXfwfcjzu5XSesG+ZTKnh4dN4iIBIloDfvw6qrEQFpHbzX++AxmpUG40cKyE9dunmM9vkeEgCqLLffNcwcz+GHEuYOZRe81n0uTTj+LTmpFG72o6zTLjYnV3rNEw9rimK5PGIAoiPgI+FFEse4xOmMxNlNFEEVMRwI5wnUiItulZKqkdRlDEam6IZEABSku89QuXgCO7+EF3Q833eycqeacsuViOgEpTVq3aiYzdZexikWrXVOSRcIwQpIX3/fmc6naHrIYC8JO1qOrWC7jFYehnJYkD5/CSjU0VzNO1lOQJ0+wCyiSiEtI3faRNImZmstExaFueSCIFHSVnb1GnKuFiChEVCyfsuVhez47e9PIskRhjeVOgjDA8SOCDiZsblXOJHOO6fqzPquq5cWm5yWEQdcQQJUkWlX+x8oOgigyVl7JhyWwxkpkSzJd9/CCgOm6x/D6F4vf1Cw3JlYrgNYzwrclgbV3794li9yuhCAIHDx4sK1GnQlEQSyEwjAgK6gUDIXpmsWuHoOKG1FxfAazOs994iAzdZeRGZfDE2WmaxGuD/1ZjbQiwlD7bQjCiBCBoBszwRbjTDLnNCsLWK5HWldwvIB8G0mb7U40vSkFcxU+rN29OjXbZXfvYg1w/rWbQriTWKbF/kmT8wdSQCKx5tOpMbGe1ouWBNaznvWsRQLrZz/7GQ8++CAXXngh559/PgD79+/noYce4qKLLuLnfu7nOt/aLULF8jg2XWeqYhFkVPryBhMVl21ZDTcEx3U4UDGZqTr0pFX6UgplK0QSItwgDrRw/YCIkCdsL7RtIgkBLwjYKkG4SS5WazQLuuYMhdFijZMVl31BwFkDuVWdp92JRlMVhnICWosmtm05HdePf6+ErsizoeOd6gMVL0JTJCpesmjrFpvOh3XTTTct+P9LX/oSX/rSl/jWt77Fc5/73AXvfetb3+Kaa67hT//0TzvWyK1G1faouiGO7+OGMsWKg+V4TFUsIiGiYnoIisRY3eJ7D4+TTSnoiortQ06XcQMfTxZwvLWZ8mRRJKvKjc0jNzdeEFK2XCSxO8EDZ4IwnP8d+jM6XhDy06MzjJZtRov1eJsHKfYBddtZ7voBrXoUJkyPkuVhmMsH/3Qr2tGQBCw3wMg9PsqTnSjWOFmy2VHQ2dm7OMhlPp0aE+s5ptq6yh//8R/ztre9bZGwAvilX/ol3vrWt/Le9753zY3bqjiuR830sHwPxwkomy6RIFJ2fepuQCBCn67g+1C2XR4aneHeYxNMmhYhIYaqIIRQSKtrqs/Vk1LJp1V6tsB+QF4QIokiQdidldpWSlBdjvk5V82fsZLN/vEKx2dMbC+i7rSe2NpqAdlTkSWRXEpFbvFzcgRCFCKvoOTMb4vtda6IaiSAJotEjw95xf7xKseLdfaPV0977FYcE23NDAcOHKCvr2/Z9/v6+h7X/ivLDzGdkLLjMW066LJIIaWwq5DG8gMMSUJTZHKaRNn28aOIsh0gyeAGIWEQ4fohiGLbnalsuVheQM5Q6Mls/r3JFElEk1vXDto5/1bfpLH5HYDZAIUoDBEBzwtx/QBV7n7FgbyhkNXllv1mWU3C0GSy2mINa6nqEfNzerwg5ESxxoMjZaZqq991oGx7zFgeZXvtW5ts1koX89sV+j6TFZvQb03od3JxsB601bP37dvHP/3TP1GrLd5nqVqt8o//+I+cffbZa27cViWjKohiRBAKCKKA6UdIQMV2gAgnDNFkkTACVREJA8gbAuWah+m5zNQdHC9gumxRrLW3W/D+kTJ3Hy2xf6SMv8kG2FJ0ezJoV5vYTDS/Q0qVZ4WvLIlEYYQii/Sk1XXbSG81eIAoiiwlMk5d5Z+6sPCCkLGKy0zdZrziLPhcK/3F8SMqpouzVNbyar/HJtVIThZr3Hd8hpPFGq4fYvthvOA9DV4QEnXg+5Qtl+PF+rrsbN5WWPsHPvABrr76ap7whCfwute9jnPOOQeINa+bb76Z8fFxbrnllo42dCsxmNfRJRFNEvF9n5rlMlmuc6RYpWJ66LrCrlyKIIhwPJ9I8Ck7In4QYjoRBV3Ai0JmTJe6vTgUuBVGShbHpmvk0yqmu7kG2FJM1xyqtk9WD0j1npnZFsv5DJrmvaYwWo754ezx/wEpXWW4YNCTUte8Q3WrzN//qJXcJlkUkRu/T6Xpu2qetymU57+viRElL0QTo9l72DQhn87XVaw5TFZt+lrcHXkllvL5bQbf6EjZoljzCKOQih3iuAEVu7Ux3+wxa/kexZqD6YX4QdjRHLqlaOsOv+xlL+PrX/86AwMDfOhDH+INb3gDb3jDG/jwhz/M4OAgX/3qV9uq4l6r1Xjf+97HC17wAnp7exEEYVHAx0qUSiXe+MY3MjAwQDqd5qqrruKuu+5adTvWihdEuCEUq3ajskWVw8Ua5bpNcSZgZNpmrGajyCJpTSPwRAI/wLZcnCDezFEWREBElNqcvIWokbwsYGyRShfiGe5nWG6F/uODE9xyx3F+fHBixc83BUXF8nD8uABtX0ZBl2XShgxRtEDrOFUL6ZQWm1JlJJGWE3GFMMQOAoRw+esWazbHp01OFmtM1exZ4Vy2XLwwQhJEvCCavYdASybemunj+AE1c6Hpq517sZSWvhm0LkUQYmEvCCBAzXFbypFLqTIZLV4kreV76KqMLMS/u03bV3je857H8573PMbGxjh69CgAe/bsYXh4uO3GTE1NccMNN7B7926e/OQn893vfrflz4ZhyItf/GLuvfde3vWud9Hf388nPvEJnv3sZ3PnnXdy7rnntt2u1VKzXKZrNmXTRQT8SCdrSLg+mBFIDhybrLN30KDmeHiRj+f5OAEEAdRcD00RcYMAKWovUlASRWRZIAwjgmBt0YatagBroS+jYajSGVONYKkVqxeEVKzFG93dcbjIsaJJ2XZ4zgXblz1nM5zdUCVs1ydCwAsigggqtkfR9NheMGav6wUhjh9SsVyMxn1tRSvpND6QVjWW8paYro/rh0zXPWRJoGaGGJqK6fpMli1OlGyOTlQRZZEoMjhnOI8XhGgtmnf3DKQIovj3fDpVIWQzJKRLkkhGk5EkEVUSGMylUFdZIWf+91jteO/PaOtmil7z7DA8PLwmITWfbdu2MTo6yvDwMD/72c946lOf2vJnb731Vn74wx9yyy23cPXVVwNwzTXXcN555/G+972Pz3/+8x1pYyt4YURKEePNG0WJ3oyAJClkNJFKNSQUQZYijkzX8b0QSRQQRRlZ8JipO2TVFKIskVVl6m36RCeKdfaPl9nTk6Jsr11grcYE1A5ngo9pPkvlOFUsj6odP9D5ppMHjhd5aLRKZdvKmyE2J5DmJO8HESMlk0MTZSxHJ/R9bC9Ak+dSA8qWR8X0qDkBhZSyKpPPSibM1fSHgYyG49sMLBH80xTiYhQCMkNZFc/3cRE4MlXjZMXh4GSNXEqjL736vvdzZ/UxXEizo7BQKFluQN3129rDqamdweYI4jFUiUJKx1Aldvem8CPY3Zta8TNeEDJeNnF8yKdk+jP67HeZrtnYXoTt+tB4faXvuenD2gGOHTvGm9/8Zs4//3x6e3u5/fbbgVhL+t3f/V3uvvvuVZ9T07S2hd+tt97K0NAQL3/5y2dfGxgY4JprruHLX/4yjtOeL6gdhCjCDQOCACwzYGzaoWo7BEKIJoMCmH6IaXuUa0E8KchRnOAbRYSEeKFPyXYR2yyr9NhUnarjM15xybWwH9ZKrNYENJ9mflXZclc0N2wG00onWSoqsWa5jJdtaqc4p4+MV6nb8e+VmG/GqtseMzWbg2MVTs7UOThR47HJGmVz7j6brs9MzcHyAoIgxHKDVd3f5Z7JavtDIaOzdyBDoaHJzP8eVcvjWNFkompRsTwiBEw35MhUjaLlo4px5GhGlxFFKe5LpstUzZk9T9OEuBy6vNgkrkgCAu3V6jRdn7LpUXd8Thbr3HFokh89NsGJYo2xsslUzT5tX+9kgNFAzqA/qzKQM9jWk+L84TzbelYWWKbrM11zma7bWKds8Gq5AYenqxwrmi2lSaxn9GRbM9lDDz3EM57xDMIw5IorruCxxx7Db4RR9vf384Mf/IB6vc5nPvOZjjZ2Je6++24uvfRSxFMcu5dffjk33ngjjz76KE960pPWpS3TNZuj0zWm6hAAnhBSdSx8D2o+qBJEro8ggazGIckhIaYNkRQyUirjeSL9hRzjbYTyAoREmKaLpSo47tpCer3GZNfOKqo5uGVJOO1KzPa6p8G1SlOraP4NdEzzM70Q2/UwvYXfUVLiqiTSaaLETTeu+F+3PUZKdQ5NmozX69QsHzGKODRZY7iQZlvDLPjoaInDUzZB6HP+tjwCUHd8+rPabOLxSo725cxdqzUN+0GI7YZo8tx9bQrCYt3FdD0eGamS0y1mTBvb8Xlsoo7tBfRnNNKqyETZRhYiRvrS5FMaAmFjERQhNnw4S7XpnqNFDkzWOHcgM5tI6wUhMzWHadOb1UZXQyxoXfwIxisWD50oo0pQcwKG8waiEGFlglnTrxeEC+5Zp0sZpVQZvSeOHL3vWJFHx2qcN5w5beKw7wdUbJ9eQ24I2Yi8oWC7PuW6h0jEQEZbtJ/eqf1m05VmOpV3v/vdFAoFfvzjHyMIAoODgwvef/GLX8y//du/daSBrTI6Osozn/nMRa9v27YNgJGRkWUFluM4CzSwSqWypraM12LTntn4X3Qgq4Prg01cRT3twVBepVL1MJ2IWg1MIGf7VKvghSFlt8REZXCFKy1PTleRJDD9gEfGajxhR2/b3+fgWIXRis22nM6le/tX9dmZms2Jkk1ej7dZKVve7Kp2uUHcaU43Mc9/v+n3KdUdJssmFTdi30Canb3pVUVRLWkSNB1GSha6MufT8oKQ3b1pvNBa5GdZ6pwzNZsTZYuHjlUYK5v4fogmxcVovSCiZtl4QYay5XJkxuSeY0XSqkRGVcinZHRNRZPjShlly6XuBKS7XOndCyJCotmgifn3O/R9TMdnqmIxUgoZK9ao2AEjFRMnCOnPaBTrDm4YcbSo0J9VeeKOXiJBwFDlBX1pKabrLnUrYLRsL3jG41WbmbqLKrLqZ2u5ASeLdZAkjk3WODJZRRTi+p/jooAhi9RtlykzwPcD9g5kGMjqkJlbBCzly2yX+QuLx8ZrjFUsRAGec+HKn5uo25RNnygM2BbECdaKJCBJEnXHw/FC7Ebk5vwIVdMNiKKItCbP5k2ulx+vLYF1++2388d//McMDAwwPT296P3du3dz8uTJNTduNViWhaYttpHruj77/nJ8+MMf5v3vf3/H2iISUp1n3VEFwGdWgAXAjA2ZmkvNAscFh3iV7ftgh/ExasBc3Okq8IKQQkpF1yREBGrO8hrW/I44/2c+03Wb6apDO8GGhyeqPDxaRQTO2ZajL6MRRo0IpVNC2IMgxAwjUmpnO/9UzaFiuuRSKtvyBrBQSMVmJg9VFskZSmPyNLn7WAlBECjXbUwvpCelUEi1X/ZotGpzfMoiIOKKhgkrjGAgZTCdihjOrCywapbLYxM1Ko7HRMVhxnJwHQ83AC/wKdVtZkyPYs2lkFY5MWkyXXeYrIX0pHVMX+W84bkKFV4QEUWxIFmKx8bLHC1a7Ok1uGB7DxAHKxRrDroq05/RWroXhioRRfHv6ZrNVNVFFGFbIYUkS6R0hfGKST2AQ5bFdN3F8kAIYXS6TtGMg956swL7x/JoiozthRyQBS7Z1bNiDcXteY2xikNPKvb9NX2Hnh/gBCEIwpKLi/n9A5g1OaZUmarl8di0ych0jZJlc3iqhqZo9E+ZPFFRCMOIsZLJIyfKVF2XJ2zL8wvnDiCJIqosULF8gjBslNE67e1riWZ7e9IyU3WJ/oyy4kKtarmcKNqcKNY4ayBDb0rD8SV60iquG5uuiSIOTdXoz6cYnakzUXHoSyvs6Mvgz+szTZPgevig2xJYYRiSSi0/uCYnJ5cUHt3EMIwl/VS2bc++vxzXXXcd73znO2f/r1Qq7Nq1q+22jJcX+ijKEZwaImUDx0ugCbFwalIL4sEZETsYzVXUE2wKH4AnbMtycKoHMRIorFBVu2K52F6E5zsU0tqS+xGlNQVN8Ulrq18RHpis86PDUyCEHCua7BvMkErJOF7Evn6Dvsak1wyt7UYU25HJMkeLNjsKcTRTc4UriwKKLDJTcxiv2ghEFNIGtuPx44NFvrv/KAIql+3pZWdfCkUU4pXyMpw6QSwW/B4nqiaaIc0OcNvzKTsONduhbC6fw+IFIYem6pyYsSiZLqbjMFoxOVoECyhaIX0Fk6F8inMHHMbKde4+NsWJ6RqqLJKSZAayOpIo0tNY2ecNBVMSltVO7jhc4tBkhfGB3KzAGi/bTNVsUqrccmSYIokIQmxSPjZV48GTZaIILtrpc7xY50cHizxyokzNjyck14dmSQLBnVuzCfWIiXKdRyQB0/XYVkhzMmfPCqylJujhfIoLfYGcvnC11ZvWCUKBrCbPahB24/Pzw7zjMRUwUqxh+RFn9aUQhIiTk3WmLJcjkxVOTAUoikdOF9meT1G1XcZmLB6dLCMikEtpFOsuOcNtWBlcghCya/QtNylbLieLJhGwLW+Q0XV29OgrCuLJis39x4ucLJu4fkjWUOlN6UzINnedqHBookLRcnGCgLyhcWS6ykjRYXuvzt6hHGltLl9uPYKymrR19ksvvZSvfe1r/K//9b8Wvef7Pl/4whe48sor19y41dCMMDyV5mvbty8fLqxpWkcF7GTVRpZYKImWwAbsCHQWRr80B2jJgaNTi6uJLMd0zaFm++iKyI6CwXlDBcLAY3CFSbZqeYyUrLjUTnrpezCQ1REEkf4Vki/n+35gLnLoP+8/wt0nYw3vgqHYtCOLAmEUUrM8nrC9d1ZI5g21K6aFkxWHkaKFG4bsG3SZrDqEQYjlB+zsSXGiWOXQlM3xqTpF08QOQk5MVjkyFRHioMklzt+WY1tPQM6QGc4vvVhrmhObK/lTv4fvBQhRRBgEsxF8URQxWbaoOwHjleWtAKbr89h4jR8fmkBVBI6Nlzg4FdFcGjlAue5juQEnyjajZYsHjlQphgABY6UpCqlYWxajkJ6GCXClUljHxkvsn6gSeT5esCcWPET4YdRymSvT9Tk6VcPxA6qWwrFinQMTVVKqxFDe4KeHitx/YoKRZVy183W/egiTNYeBbIqpqk3Z9tjXb8xaCJaaoMeqNo+OljlrMD37miKJKLKIocfFgk3X565Dk5youpzdm+KiXbFwrlhxvzUdn/tOlLHcENfz6EmpWJ7PZNVkcjqgDuDBieka9x2ZxAlCRso1RsdcAgkMXebBE2UkSaQ3paLJCkEUNNIS1t7fq5bH8WKdMAQvjM8bBMqs9aCpQTf/l0SRSdNhpGQyWTHxvJCqaRMKMlec3UfN8TlWMvH8gKMzdfpGyxydqlNyfHRVjP3ZxlzCtyKJWG7nTJwr0ZbAuu6663jJS17CW97yFn7t134NgPHxcb797W/zoQ99iIcffpiPf/zjHW3o6bjkkkv4/ve/TxiGCwIvfvKTn5BKpTjvvPPWrS2KIrGa4L4IWKqoSQAcmFhscl0KLwgp1W1KVshwTsUNY5u0HYkrFin95v0j3H2yzBOHsrz6GZklB0/WUAgigayxdHfxgpCpmkMURQiCQFZXZgdiU1gBHB536U3XqJgOqqwRBBEHJ6r0pdUFvqz5FQ/WOpinajZHRmucLNVRxIjxis14uc6JokNak/CDgAMTFt8/cIL7DppYxM9jvhF1/4jFvceLmE6ArohLCqymwK7ZHpIoLDA/Nd+v235cdaQxC3t+gOWGGJqC4URkjKXDvr0g5PB4mdsfGed4sYwsihwsLTbj1SybsYqJeELg4bHphrCKKQVQqkJ6vMZgLsVlZ58+EMb2Akw7xPaC2ed515FpfnJomivO7uOcoRxly10xCKNseRyYqHJ02uS8gRQHx2ocmq6giiK9hsqDo1McGm89d+OR4zVqjovnhmzry3Jo2uHcqj3rTzlVABwaq3K0WKNmu1y6p4+dvbHgEqII0/aoKSKWF/DgaI1i1ca0PXb3x8EKNcenZjqUbY+RGYsgDBkxZI5PWzw2XWSm6lOc9xhKlZD7KaIrIscnfEoAPpyYrNNvSBQtj0t35blge4GKFRfFTqlSR6pDBMS5eIcnKlQsn7pd4OyhPCNFEzuIKKkiGUNFFgWQ4zadKJqUTahVbEZmbHqzOoNpDVkWKdctLBMULIazJpM1i8mai0TIYxMVetM6u/vSs9fXlPUpTtCWwHrhC1/ITTfdxNvf/nZuvPFGAK699lqiKCKXy/HZz352yQCITjE6Okq5XGbfvn0oSizVr776am699VZuu+222TysqakpbrnlFl760peuq4nStrx41dUiKwXcHxltbTB7QchExebItAVRmsm6y33Hp9nem14xA/3bD5/keMlholTlt59z/jLnjrA9Hy9YulN6QUgURdQsDwQBRRKWHIQ28NDRGmYAER410+TCHQV29qZwXI9DMxZBEDKQ1dmWT9Gf5bSDuWy5sw7svBEnnFYsFz8IiRB44MQMPz02yVjJYtqyURWF8RmTKdMir6v4fp5HTpb4WUNYLYUJfPvuSR7dVsfQFX7+nMXHTNUcJkrx5LBtCceEF4SMlOqMlOpkVYGZms103UNVJJ60e5D0VIWLdvTMHtuceMfKFsWaw/88NMlDR8uNCXLpwJSRakRPsU7V8jkwtrRmPla1ma5YWK6PIAikNXm2BtypCwQ7CHEDHyeMZl//j3uPc3LGZqRq8qwLhrG9CL9hRlsKgYhjUxbjJZO66XJwqsqh0SqqJNBvqJyccpe970sxE8LMWNzew8UZ6o6DQMRZfTqXnzO0QMtPqTKKqlD3AkTL59h0jayhkFJlJusOFTdAt1wmaw73HZ/Cj2BnjzGbdjBWcSjWbCaqDseLNXwidhR0fnRkkvtGFo/LqQCsmZCUEcbCqsGJWog2WmVnn0BKljBUBdMN8PyIbYWlXRWPnCxyYLLOuQPp0wZMZRt+1/uOz/DYRAlJMZARuOysOv/zyAQ1x2NXweDJu3sIIuhNqzxwosSEGfckC8AB27EZ67Nwo5AT5VgI+kWLnqxCsV6nZscm9JNFk5wmU6o7ZA2FybLFRNVhe8Hoemmmtg2Or371q3n5y1/Ot771LQ4cOEAYhuzbt4/nP//5ZLMrJ0CuxMc//nFKpRIjIyMAfOUrX+HEiRMAvO1tbyOfz3Pddddx8803c/jwYc466ywgFlhXXnklr3/963nooYdmK10EQdDRgIpWmDTtFYXQalhiIb0kXhDyW/98z6wJ5f+7sJ+K71A66XPVOct3+JmaQ9WEkuguG1Y+U3eYqcf291296UXve0HIyakqD4zXSasiF20vLBt1NjNP89xfDPn2IyNcfvYgf/vNQzw4CWngivMLXLazl6suHCa/Y+UBcHSqxmTVZSCrcvGuXsbLFoenahyaqlGtBzw2VuTOo3V8YLpSJQhCTkzWcVxIGxKOF3DP0YnTTppFoD5q8tPHJrj2aYsLO3/n/hN89+AUu7I6L/653fRnFy+QSpZLGIZMmi7jFQfX9zE9CV0RSKvyrMm1bLlUTA9FFrn5+4e461iRmllbsJpfCg84Om7hD7iMLGNJnrbgvpNT3H18EF0SqNtpFFlClkS2zZtwTNenYjq4XoA5r1LK4SM1xiNwSjUiBAQhRJaWX13LkogohBwp1lAkOHC8xrgHEGE+MsnEGgaKA9xxzCRvTDFSSqGqCqokEkUwkNPxgoiLt2e4/2iRiuXx6GiVi3f3Ybo+vhdQMV0mihZfufcwZTMkp8B9uowsi41cpDpCFGvpD5+cIaPJPKTI3HuovGyb6kD9lM4UAgdmAtygjCTHgTZhGHD+jhxekF/SLPjFO0d4bLLCOQM5/vA0AitvqBycqDNSspks+RSyHnbg8chYmXuOTVKs+djbC5wznCWK4LDlsH+8uGjZUwNu31/EZc6bUfRhsmzjBAHVOqiig+eHBFGjaoofctfxGaaqLlXT4dzh7u7qvCYPWTqdbqtm4Er85V/+5WypJ4DbbruN2267DYi1uHx+6RsiSRJf//rXede73sXf/u3fYlkWT33qU7nppptmd0ReLw6Pz6zr9QAs119g7/+/D00xmIYLBvOcKDs8eZmIIV2NgzwUBYpVh/HIYWfPwpWS7fqUTZe0OhcxNb90y3TN5d6TFe4+WkRVIApCzhrItOSA/dHhGj86PDe71oEf7S8hRiJ7hzJcsITWMb/9P3xsiruOFbl0dy8X7+rl7iPT/Pvdh/jxocUiqBbBfYfrzAZwugHVRyZanjQd4IHji020XhBy/Vcfnf1/sCdFShboz6dm75EXhOR0maNRhCxEjJdtJus2rgeHJqooojhbjdxyA8q2R0qR+IcfHWutcQ1mfBAnVrZHP1qM+NBtD3LlE/q4aEc+9mcFAVeeMzD73I9OVqm6ISECcjhn4iw3OlmRuF/0ZrQVn3OpZvPIWJmDJ2t4IZTnzZJrEVbz+cH+ItvzRcp1j5rv8qRtBZ6ws4dzB9Ls7M+iyOARcnSqRs2OtXGfuF7n3/zPo7PxUOMWRMdnkCKRIzN1PC8EKcTxfE7WQa/7GFqNyTaLkh+thNjODJW6RcbQKGQ0jk5U8BHZ05daYGr+9v1HOVKFI2Mz/OH/d9GK51UkkZppcXSiRtUBWbGZsXSOFm0OjFZwIxhISxiKjOMHHBo3OT65dB8xl3ht/1RcYi4ERNNjtGyjyRVkUaCQ1qnUPKZrDv3pTerDOvvssxkaGlpWGHz5y1/mf//v/82hQ4dWfe4jR46c9pibbrppyaK4PT09/MM//AP/8A//sOrrdpKD6y+v+Ov/fGjRaxN16K955I2FxS3nT/iGoaHIDq4PX7zrBAVD4ufO6uPyswdmj/HDECcI8RvFS8fLFiXLpWCo7B3IcufRKb5yz2FGpj160go9usaTpmqcO7S6LdubWMD9x4rs6UvzlD19DOdTjJdNpmou/Rl1QULkfz88wqGJOiMzdX79yrP4ky8+yEpZdKfWkljtpHlwiZO/8R+/v+D/nzw2RVqRefoTVLwgIqXKHB4rMVIysa2Q447JV+49Rsn0SGky5VoNRUlRSKkcnqxSs1ym6g5amztFT7fgP60A33xkGiGK2NmTRlUlRssmg/k46fiPvnQnPzvuoAJP3iEwXYt9VVkdbBsyMoRRdNrcpWNFk0dOFJnq4rZLFnCwDAfvHwfgvx+e4e9+o0DZDtBVmYyqYnk2phdwcKLG+dtyZFWJiiYuqm/42EyA60wQROCJUJDhZDl2O1rAI6OrMWAuZtyB8eM2YDNR9ijVHc7fXsB2fYbzqdmF2XQ9vmaxRd/C/vGZ2b6sujBRqXD7o3VONj5/ZLLK/SdK5FMyUxWbyirSZQLmNK4JGx4anaFq2oxVHM4dylCyPEwnDiDqNm0JrCNHjnDy5Ekuv/xybr755kVaVq1WW6AlPd5YW+W+9vjCPeNLvl6tm9x3okIhpXL2UB7tlNVwj66jSA5mHb77wAnOGi5w9mBugUYThBFhFBE0ymTbro/phOhSPNz/54ERHhz18IFJ14PHptneaxC1UjJ6GcZt+MyPjtOX1vhfv3g+ExWH6bpLGEYMNQa2IolU6zamCxXTZrxsryisOsVUzV4Quv6dgwvtb//vYIldBYOLdvfSn4lNfK/61E8XrF5H9peAeACmgLO3hxydqvKjQ9MEfojjBQwXupfM2+ThY0VOlipk02n29hkM5SwsL+Bnx+PZzwXqfshkxaQvo7KtoGCOewzlBURBoNyIpFtOy/r+wxMcXo+HMo8A+MKPD/HLF2/jZwcDvnPwBCen4X4qHC3WeflTd3N2b4ofPLL0mDnWeFAyMM3C8bw2cbWQB8ZNHhg3+eWLXZ40nOPnzx2cXVies83gwLjFedtWzs2DeBG6f57iX3ZBKYdMzdtW6GAF/uPO41y8o4ATrG318INDVfrkKmcNpTgyXaNq2/i+xGh+k+6HBfCxj32Mb3zjG7ziFa/g+uuv50//9E872a6EDnHchDsOTcW7+aYNlLw4G95asTxEIST0oBTC9IzP/pkprr18F1M1B9cPSGsykiAgCCA1KoUena5xz/Eyl+zKc8GOHo5MVResVB+dtvnmA+Ps7mvfl9nkz7/9GL991blAxNiMyWTFoly3CASZPb0G5w72UKxOkdEMpiurCXVpn4dHyuQMdUGU1Hwc4H8eGuXSff1EgYEXREuaWiBOz6sA46U6x0w4OvMIPWmVc/qzjJS7b2I5ZgGWj0CZ7TkdRZbQlIUa0w/3z/DknVOosoiuqhiGR87QiRBWLIsE8Pmfrm8BgSa3HywzkNH44r0Lt2y580SdvDrKOc85h68+tHIE7nrtxfvl+ya5/YFJnvOkneQakbiveMouTlQc9vW1JrBOZWoJ2XHPaJ2Zap2e3NpzpaZ9mD5pcufJuZ5tBw5wmvIaa6Ttlvf09PCVr3yFG264gRtuuIG77rqLz3/+88v6mBI2jv93pMKx0QoPnijx/Iu385JLdsXaiO1xZLJK6ZT+ft9olWk7IK1K7O1LkTY0Bv2IdCPs+m2fvw+PuIjvgYt3cWwJe8/+41W+fPfq/C/L8eW7jvLD/ZN878AkA2kNSQmxXZHL98YRhncfgzAK2T+5PgLrn390iGfuG6DueJw3vLTZ87gF952oUPd8ntZC2aPRxrgvlgIOlyx0VUKqrV9dxQj4yj3jnCzW2XuKIDaBf/nhYQgjfD9AEiAQQo4Xq2R0jT0rTKrrV3J6MXcdWVog/c+hEs954sqFhtebmRBu+dlRnrgtS06X+emxEipw6Vk9p/3salI/jtZgpNYdUfzTY53UP5dmzSPij//4j7n88su59tpreepTn8p//Md/dKJdCR3muAPHH5riwMQMl+3t4+hUmfGKy2NL+Ntuu+MQQz0G5w7k0C7cxt7BHFEU0ZtulLVpHOfRyC9a4npl4McHWsshOx2//8U5/9z0vGomB2fGed4TejhRB7Hu8J39ixPHu8E3Hy5ycLTM1ZftobBCGO99x4vIwBMGVz9tj07X0LUO1e1pERf48bEaB8YXhxiOW/DgaBXfD/EDsG2fqaqL5YQMZbsbytwuh8vLG+ff+5X969iS1vjk945QAPbuyPDIyRp9eYEn7unj/mPTuJEwu0WK6Yb0ZdS2Q8jXVgp7Y+nIEu4FL3gBP/3pT3n5y1/OlVdeyQtf+MJOnDahCzwyFXDf8RL3nqhRrC69IjpYCjlWqhOEEudvN7lwZw89aW3JnYvL1vJ26+num7Q52IjIDIEHj62fs+RgKeBr941z7rbcbATVqfz0eJW0EvGpH67en3u4Ajm5+yvWpZheRr7WnbgGXhiB6QRMVhz8lE/FTi8Zmp2wekrAfSdrcb3RasSRyQqOFxBGEdODaTRJwvEjqrbOhdvj6XulMXim0TGbw969e/nRj37Em970Jv75n/8ZoZ2d0RLWhe89MspIyWK8snxH94A7j1bQ5Ii+rEFeVzirf7HPZrK8MZNqk/kRmdX2dmJpmwcm6nz3wUkuGha5b2zpZN7vHmq9tNapVNbLidIi3z88l3+kiuAHAbpukNbkRGB1kKZeWNChWLGoWh79OY2JskzJ8nE9j4zSNxsYZTmbrKN0kbYE1ne+8x0uuOCCRa/rus7NN9/MNddcw9TU1Jobl9AdPvezMSSWq5cwhw/cfrCKrh3hrL4cv/SEQXKnmCFmzM2zutsIf8n/PHSSi8/Kc9/Y8smkZyJVC8ZLNoWUQt3xSWur21Y94fREAdz+cJEwgp68yJ7+DClNxVAkTvRanOf6TJYtHhx5/PS9tnrWs571rBXff/GLX9xWYxLWj9WE3n/zoRn29pS4eGeBndZCC/jR4nLxb48PRmy47HQ7L56BmMA9J4rUPJ9thRTffWiMu0+UuOKsXn7r2etXt/NMZmTeCqxcDjlSrqACw2kwVJnhvIHjBZTMzaNhnSjWTrtx5FpoSWB99rOfBeJyTIIgzP6/EoIg8OpXv3ptrUvYNByeiXh0tEJfemGX+eJdq08OP9PwNyTzbuN5cNxmumZzzkCW7zw6RtnyMR0vEVhdxAWO1eH7+0dRZYGz+jM8cGLzWLM+8OV7+fvX/0LXzt+SwHrd616HIAj82q/9Gqqq8rrXve60n0kE1pnHvceLaOJC3+S9R9fZcbQJ+fqDG1DaZBMQAiN1mKw6GIrIdC1iKN39ZOcEOFYJ+dFjU9TrLo+tUzpHK3y/kRDfLVoSWIcPHwZAVdUF/yd0n8Imil353sEypcpCT9FWDpFN6AxjlTrbc2mGcgbPPG/g9B9I6AiPTNqMTtqLyo1tJN1evrYksPbs2bPi/wndI7U+28y0zL2TiUaVsJCfHpzh6ef3Y+gK/bn1zR17vLPZwi0uGOzu+ZM41E3OJvKnJiQsybQHX35gijsOjBM0NuA0XX/JkkEJZzYXDndXw25Jw3rOc56z6hMLgsB///d/r/pzCQt5fLrzE7Yih8ohD41W2NmbIa0raHKyHn68oSvdjZhtSWCFYbjqROD1KDX/eCC9OaveJCQsyTfuHWFvf4asoZJREoH1uEPsrtO9JYH13e9+t6uNSFged/Pk5SYknJa7R02+dvcx9g3ll61mn3Dm0pfrbpRokpK+yVnnrYQSEtbMdx8s8shIiXO2Jzs3PN44e6h7ScPQAYFVrVYpl8uE4WIH6+7du9d6+sc9m92oIrN++wYlbA3KQHkm5NjM4zM/7fHMWYXuRom2LbA++clP8rGPfYxDh5avdBAEScjAWtnsKrAOtF/eNeFMZmPLIidsBJra3aCLthbwf//3f8/v/M7vcM455/CBD3yAKIp4xzvewR/8wR8wPDzMk5/8ZD7zmc90uq2PSzZ7pb58UtggISGhQUrtrk2orbP/3d/9Hc9//vP5z//8T974xjcCccHbD37wgzz00ENUq1Wmpzuzed/jnU1U6GJJwkSJTkhIaJBtc1PJVmlLYB08eJCXvvSlACiNuHu3Ec6Wz+f5rd/6LT7xiU90qImPb3patAkWutqK5fGT7IWEhIR1oi2Blc/n8f3Y1Z7L5UilUhw/fnz2/Ww2y9jYWGda+DinL9vacRu1BZGubcx1ExISNh/drm7SlsC66KKLuPfee2f/v/LKK/nkJz/JyZMnOX78OJ/61Kc477xki4FOoMitqdi57kaTLkta3+xGy4SEhPVAga7vOt3W2a+99loeeOABHCeu3P3+97+fhx9+mN27d3PWWWexf/9+PvCBD3S0oY9XorC1zOFd/S2qYh0mdBObYEJCAgwo3RdYbRmSXv/61/P6179+9v9f+IVf4MEHH+QrX/kKkiTxvOc9L9GwOsRMi2GCPWkDNmCjgepG7EufkJCw6Sh5m1RgLcXZZ5/N29/+9k6dLqFBtcVkFs/bmMrYSeWohIQEWJ8UnDULrDAMKZfLSxa77e3tXevpH/e0moYndbno5HKkVJhOpFZCQgJguj75Loa2tyWwPM/jIx/5CP/4j//I8ePHlyzLBEmli07QU2jtuKy+MWGCe7dlOH4gqXWRkJDQfdqa5d70pjdx8803c+WVV/Kyl72MfD4pctktci2WOpG7bDtejivPGuL2RGAlJDzu0dikPqxbbrmFV7/61dx0000dbk7CqWSM1gRW3fa63JKlETd9LY6EhIT1YD1sPG2Jw1QqxZVXXtnptiQsQdhi1PhoZWNKjUobpNklJCRsLtZjydzWbPPrv/7rfPWrX+10WxKWQBRbW7dMVzemTG4hvdnrySckJKwHAd2vdNHWbPPnf/7nvOENb+AlL3kJb3jDG9i1axeSJC067tJLL11zAx/vbG+xHLq9QQEuk6UkESshISHWfjalwHIchzAM+c///E/+8z//c9H7URQhCEISJdgBJLk1JTin64Dd3cYswVglEVgJCQkQsUmDLt7whjfwH//xH/zar/0aV1xxRRIl2EWmaq35pi4YynPP6PoLLE1Jgi4SEhJAAlJdrsLd1tn/67/+i7e97W381V/9Vafbk3AKttuaij1YSHW5JUtTqydZwwkJCbAetpa29LdcLsc555zT6bYAsbnxPe95D9u3b8cwDK644gq+9a1vnfZzf/Inf4IgCIt+dH1rb4kbRK0JLM/fmNJMRWf9tbqEhITNyab0Yf32b/82//qv/8qb3/zmJYMt1sLrXvc6br31Vt7xjndw7rnnctNNN/GiF72I73znOzz96U8/7ec/+clPksnM7bXR6fatN8tVETkVUdgY05y0LtkXCQkJW4FN6cO68MIL+fKXv8yll17Ka1/72mWjBF/+8pev6rx33HEHX/jCF/iLv/gLfv/3fx+A17zmNVx00UW8+93v5oc//OFpz3H11VfT39+/qutuZgyltcRhTRHQWB+1fD5e6K/zFRMSEjYrm1JgvfKVr5z9uylYTqWdKMFbb70VSZJ44xvfOPuaruv85m/+Jtdffz3Hjx9n165dK54jiiIqlQrZbBZhg7SOpRCBdpTl/mxrJs18ZmO2/q06G2OKTEhI2Hx4QdhVodWWwPrOd77T6XYAcPfdd3PeeeeRy+UWvH755ZcDcM8995xWYJ199tnUajXS6TQve9nL+OhHP8rQ0FBX2tsqCu1nge8opFs6biCrobD+Glbe2DyLgoSEhI1l0wks27a59957ueSSS3jmM5/Z0caMjo6ybdu2Ra83XxsZGVn2sz09Pbz1rW/laU97Gpqm8f3vf5//83/+D3fccQc/+9nPFgnB+TiOM7t7MkClUlnDt1iMRPsCqyfTYqn+ICSlQW2dJdaOXAbo7P1KSHg8sRGm/G7RbZPgqs+u6zrvec972L9/f8cbY1kWmrbYtNWM9LOs5XOS3v72t/N3f/d3vOpVr+IVr3gFf/3Xf83NN9/MgQMH+MQnPrHidT/84Q+Tz+dnf06nxa2WNdXYarGY4HTNxdqAXp9Nbe0ozISEjeZMEVbrQVvi8KKLLuLIkSMdbgoYhrFA02li2/bs+6vhVa96FcPDw3z7299e8bjrrruOcrk8+3P8+PFVXed0rMXLM2W2lud099Ei1TVcp12S2rcJCQlNuh3W3tZ088EPfpBPfepTpxUEq2Xbtm2Mjo4uer352vbt21d9zl27dlEsFlc8RtM0crncgp9O0mLB9SWRhNYe0YHixuxJdXK6viHXTUhI2FysTp1oj7aCLj7+8Y/T29vL85//fPbu3cvevXsXaT+CIPDlL395Vee95JJL+M53vkOlUlkgNH7yk5/Mvr8aoijiyJEjPOUpT1nV5zpNhljLaqeeem+qtbB209yY7UXGa0nicEJCwvoIrLY0rPvuuw/P89i9ezdBEPDYY49x//33L/pZLVdffTVBEHDjjTfOvuY4Dv/0T//EFVdcMetbOnbsGI888siCz05OTi463yc/+UkmJyd5wQtesOq2dJJCGgbbLLcYtOjDMjdIboRRUuD4TGSliSGJC01YClHfpHlY3fBfAVxxxRX86q/+Ktdddx0TExOcc8453HzzzRw5coTPfOYzs8e95jWv4Xvf+x5RNDeZ79mzh1e+8pU86UlPQtd1fvCDH/CFL3yBSy65hDe96U1daW8rSEBGk4mE9hJsxyqtSSJvYzYcRpOTShdnIit5ItZi4k44c0mtw0pm0802n/3sZ/mjP/oj/vmf/5mZmRkuvvhivvrVr542hP43fuM3+OEPf8gXv/hFbNtmz549vPvd7+YP//APSaU2pjAsxIPbDwLqbQoUt8Xka3eDCk7kl4jqTEhIePxRKBibLw9rPt/73vf42te+xtGjR4FYy3nxi1/Ms571rLbPqes6f/EXf8Ff/MVfLHvMd7/73UWvffrTn277mt1EAhAFwlb3uj+FwGst6maj6k3s7t+4xUBCQsLmQaD77oG2BJbruvz6r/86X/rSl4iiiEKhAECpVOKjH/0ov/Irv8K//uu/orRYB+9MxgeEAMI2n+WM3Zpqljagus5xFxng8rN74DuH1/fCCQkJm44ghIrldnVPrLZ0t/e///38x3/8B7/3e7/H6OgoxWKRYrHI2NgYv//7v89tt93GDTfc0Om2bkkiwI4iojYN/6HXmq3v4l2F9i6wBlIKDLdYOiohIeHMJgKqVned6W0JrM9//vO89rWv5c///M8X1OkbHBzkIx/5CK95zWv453/+5441cqtTNSOCNgWW3GJQw9lDhfYusAYsD0ZKGxNOn5CQsLnQRIWs0V2rWlsCa3R0lCuuuGLZ96+44grGxsbabtSZhiBBIXP645bC8ltbsZRbrIjRSRKLb8JmJCkWtjEIUkjOaLH2aZu0JbB27ty5ZOBDk+9973vs3Lmz3TadcbguZNT2NpLUW5QKQosbPXYSwwBDTmozJWwukh3aNgZdVTZnaabXvva1/Pu//ztvfvOb2b9/P0EQEIYh+/fv5y1veQu33HILr3vd6zrc1K2LDwRtyCsBuGC4tTJRlrf+GlaPIROJicBK2FwkAmtj2J7Vuy6w2grnuP766zl48CA33ngjn/70pxEbk1YYhkRRxGtf+1quv/76jjZ0q2PWVx8mGAG9LW7MWHbWP52zWPPJae1pjglbl3Y3I+0GEqxDMPXGspnu90r4QYi/GQWWJEncdNNNvPOd7+TrX//6gjysF73oRVx88cUdbeRWRwCiNhWR49OtFbUtme1UKlwb03Vwz/TZImERKWBjSi0v5vHQ/baCsFKAuhfgtRtd1iJrCpi/+OKLE+HUAiGgqQIS0aoH2AMj5ZaOG5s6/a46nV6pqcBYef0FZUL3MYj3aVqqv2wWYZWwedBFyBsaitTd+kyJA2IdEIB6ZfXCCmCmxSrsxdPIq25kS+XSUOly3kXC+iMAWQ2yG92QNhFIIgXXG1EEWRIwupg0DKvQsFarSQmCwL333rvqBp2JOMBMm9uK7uxpbdpYSXNKA7oM9Q57o0UBerPdDWNNWH8UQHRX7lMymzO4wQDSMogS2MlWvuuG5YPl+F2tcgGrEFi9vb0IwunVvbGxMfbv39/SsY8n2jWcPeu8wZaO04Cl4gSzgCFCtQuziyDB9pxBFjZkt+OE7pCSoeLP9dlThZPG5t3W3QFEH+zNKE1bZKsEWcxHFSGtdD8Aq2WBtVLeFcSC6iMf+Qif+tSnkCSJV7/61WttWwKQ1lvLw8osU0swAmQVVBfssLNbQ0QhjFQsNAGq6xSkqBI72h8PzvaNQAAEcWE/UVgosDarsIJ4ol9uD+xeEYqbWBJIxPfaIQ5s8Ro/WwFVgqwub+5q7QDj4+P82Z/9GTfeeCOe53Httdfyh3/4h+zbt68T7TsjEIhvdDudT2sxMXfZxY0Qm0f8sBGt2EYblsPxoVJziSS6ah8ygKwKkQRiAJPrn3LWEUTiSWmzT0KKtLCNIZvXBLgUCnFfn99NDOJqM25lcwaN6MT3uDlXQPw9NntfaRKKUOmysII1CKymRjVfUL33ve/l7LPP7mT7zggEoKBAyVt9B9yWb819vNxO9VYEKR9SGqgOzKzy+isR+bC9J43exdlMBgw5bn+pCjbx4N6KsYkGcxNSRPxdNhsSQARpBWqNzjpfm1WI27+ZK0hKQF6D8XmqoCqCugm3blOZJ6BEUGSou/HiZis5VTwH6qa9+QTW2NgYf/Znf8anP/1pPM/j1a9+Ne9973vZu3dvN9p3xpBWwVylwFIBTW2xYN8yqpMKOG4cxSN1eMnm+tCT0dgxqHHyWHcMRX7jOpV67CfbyqbAOnEAjEQ8IbUqsAxibWE9vntWBF0RUPSI8VL8WnNSbZqqRDl2sm9WQqC+RHe0vYZA3iSIQJ8BXgBhBFpDqMoSWG77WxJ1sn2tWlADoO5Fm8ckODo6OiuofN/nNa95DX/4h3+YCKolOPVBR4ATrG6waMDOHlpOxJMVlpzRXECJ4s7f8TiYKG5frcse7joghFtHWKVZ3o8iiXEU28wqzJrrpc0YgKpDLq1h2fZsFQmF2EwYBKCmQBHYVPbBUxV8l8UBSOUQotLmElgakM9IyBLYToAiSYiyQOCECITMbLAauxp3n6FBSpI2j8Dat28fjuNwySWXcP3117N3715mZmaYmVneyHTppZd2pJFbjVPlQgQ4zuom3Ig4NcBsMTa3NyMyYS/uYllA0YAg9jl1ElmIN/N8aKK7oiRieQGwGVnJXCmE8bYs619Ia2U0IKvEwkmVRVx5btkVAWEYP4PQhLyxce1cila7tQ+om8gZp0kghpDL6OSNKE47CVw8MZ4rmvPIVig/pcmQU6XNYxK07diAcffdd3PNNdeseGwURQiCQBBs9tvcHU4VWBqQSoMWQL3FVZMLVN2IitPaPTy3v4dHpqYXvCYChh53+KLfBb+PCo9OrE9A+yYO7lrESsLIAeQIUlKsdW8WIsD34lQFy/ZJqRIyIQFQaR5ArO1Fm9mBtQJ9GRAiNo3AcgJwghBVlrH8gLQaMV70cTzYgFrWbaMDKVVF1uXNI7D+6Z/+qZvtOKM4dcIyRBjMp1CViNEjrY92xwHTbs3p9JR9fXzvkel4cmleF5Bl8LzuBClEPhyd6t7slWFzRnStBZHGajQNM61V3Vo3IiH2dfphRE5RMfCWDGHfjMEi81kuGlYRwfQ3T8SjD4RexGSljiRJ6IqELIkEfoikxAvderAx2pXK0nmdp9KMerV8FzHsfphIywLrta99bTfbcUaxqIMJoGsShiwjYa3YAZvRQUHjc5bfmm6hSgLb+6E2tVAbcT3wujQ6MylI63JXEh01oDcLSjWObNwKZpFW0KX4u0xuMmHlEVcuSasCKU2ix1Dp760TFuNFw1bRcFXihY7DYjNyqQ4Em0NYQdwPXAGMSCQKwJcCBAEUSaKgBBwrblzbWlXwVEAVIG/oGFr3K/0ltQTXgVIAUyWL8WLltJNuyNzEHK0i0ffotEWxFneg5kNVZBjMK7EPqwsM92Z5wnCWp+9rczvlFcgojWg6BXLA3h6BYQ0GlM522vlrwm5voKwQ58SV/M5qjgUJ+qW1td8gXoAAyLJESpPI6DIpA4a0ODqwm8jEfXet6BJIUhyWvwhxLohkM5DTIG9ICI0RLyChqQrKOkz8nUADDAl60qDLMr3r4NzcGnfmDKBi+hStpcXVcoq0IIAmt6Zmu36IFMTmmoh4sk/L0FfQ6dG785hzisTuvjTbswad7KoiUNCh5oCuwvYBmQt29LFrOMVAj0qP3JkclWY+VJPljK/5Dlk6PKDotr56XQ4BGFRhSImrNyhC7A9pd10iEAdSCBJ4fkQYRIiRQErRSWtCbCZcY5tPZSnTzmo0aHHeb4W5YrdCw6yZ0hcKJh0YKijo2uaY9PpE6M3I9OVSGJqGrkqoqoAkSMiiiBstvOeboc3zSREvMAwR3BA0VSSrJhrWGYNtg3mKjaJ585fTogQRFKU1q+3u/jR6Ol5tG0BeBkWXKKg65w33LvmZPGtbOY9XbaJGKQ11jfHCAnOlaXpU0AyNlBxPPkO5FGlJJBQCJCIKemdW/KdOwktN+Gli0+RqWGkF3wktIgWkDQiieLIo+7H5yyI2h7U6qHPEfUUnNgfKs0VjfcqOg+U51OoR09bahWyTPJCXFldTX82aYL4JutkPIqAPKKRFevISUbjwnAUddvUYccRuOw1v0KxGcbru3rfCAQIQCiCJ8UGiJJIzVHpUnZ6Uiq4o5HVtwQ4Lzfy9zYLf+LGEuO9UTY/1SHVOBNY6IAGaBqVTXl/J3CcDmgKZFgtKpmSBtK6giZAWQRLAkAS8KGAwqy+5vYgoxWaJ5gAstHSlOSQ5jgTd1Zchu0YJojCXoGrIEIYOig45Q0eRRKYsDzFSEGUZSQNtDWNDafyc2vk1kUWaYkqFdFpp2dmrs/xWLnmgfw33KcvchBl4cbmtZs5RcwJfzYD2iIWcAwQhKKKEoen05HXcIMJyA8a9zgZZCBL0pGLNuUeMn7nE6nyUzf6aIk6yFYi/fyhBb1ZHEAJK5pwWpxKPtQnLZbpNaaU3fvzGuVZ6jDorJ/028zLdwMMNYDCtkJIlNCGk6vj0pGV25tOo+tz37U11ZrsXlfg8adpfPAlASojvb1aEXErh/OEMmVT3d25IBNY6EADuEgPldHOuoQgYSmuPyAkEVFkmk1FI5+IJQZRkMqpC1fM5Z7vM3oLMztRcR60FcSRi04S42gD1p+7pR1MVQi9AFNa+vrKJJ9CKCZKgkjMUZAnCKKLXUBEJUJWIqRkotpHI1LyTHvF3LkjQK8UDWAKiaOEqViP2iThu0HLQQUZjyVHVp8Nwv8L5u3IttXEptvVBToqj3ewI1GjxJB+d5hzzCef9rtng2gGZlEBBlzEkCdPtbKhFlnhRYPtxsWaBuQCj1RRgkWkkOQuQUuaZBRUQxZDDk1CO5iJjPcByYHrabitwRyWuZTn/vi41VpqatUAsSFfCp5F0b1qMV10iEabNAEMTiZA4eyjPvqEMBaBXhYH+NLuH5DVbFkTi/mNIc7UtW0Wjcd+J+5+mwb5deZ529iD7hvLk1kEFTARWF1jKJLRUWPlK04EPWF5E1W5tiGWUCD8KkSMf2wLbBdfzcZwQQjhvoJfnXridwR5j9qHrzNUWXG3pn4EUXLirQM5QOFSsQ7CwLtpqmS9/JBkyWQ1RVOhJqRiyDCIMZ1OkFX3Zitsr+XBObVcAKArsGlLZNiDEE4E4t/mfABS0hllWkMmfMlKWGziOFwfLLGqbCEIUEoYCO1YoD7lSn7AdkMXGROODL0B23iohIE6MlRvtk1n+eZx6r0JAkEV8XwBBIK8reA0pItGZDRGrNLRCB0qV2JzZFFSt9r3m91KEeMLMZxWGcnGtyZQmoIjSIo2w2bcEZW6CXk3gRUQcabvSZwTmfGkS4K3wIGXi+z9TjRgv+1iux4zlISmgihLb8zoiAjldZqhfpD+rktFkCukUuRYdlQLxeGyaEqV5r4dh3K/VRjvkxvsayz/nZl9Shcb3FOOftKZQSKn053TCLudgQSKwusJSfaq5ClwNUzU4Od1aPJkZgCwIWJGAIMd108IQVFWkN6uxozdFX0ZhKKeTUeOV0kCuvccvAb26ht6o9dRjKBi6xPYsDOmrF1opYCgV+1QgLgHUq8vs6UmjKjJ+6FO1PYqOx4y5dEZZQYKhFZQXjdi/09Qum/O84wXoqkrGgL6UyGAOenTIi9CTlhnoT5FJSxROOfdy81E1jAXJfAxAUUTCCCRRIJVqL1JNlmKfXiRCIDS0KXGuOrlEXM3EbrTPZ/lnIbLQrGUDnh8SRiF1x6di+1QbM3/TTNsJrCC+R2YjqGC1WnlIrIW7QCEto2oCfgi+C6YX4S5TrCCbhvO35Tm7F/rl1QlgD7DC5dsrEz+DgPg+1og1vFNpmqK1xnFuCGIEfuBSrlp4fkB/2iCjycxYHqEoIIugKyIiEXXXR5Fj0/LplJmdaRjKxnubzd+Oxye+h4o8V9G+2U8KehzxtxR+49io8SMJICsChirhhnBksoa5DruPd3d7yMcpS1mr0nJcbWI1+ECxRQ3L9wNARJfANuPOVfN9ZEEgo6mIhKRUhaF0BkmaIQTMFnO8mhjE/jFk0BQZO4i/0LaCwTnDBSarFiNFc1Eww+mSEHf0iKTSKkFkY1mga2CHIZIfIgmxUPWiCEORcBV5ybOpAuRSKn01l+lTvpZAXOusxxAIowjHizt+Jq0iKeA5ARkDBgtZdmU1TlRdKrZFX1pjeybFlOUwMd16gnQQxcK3mcStArYbYqQUZEEgjFozgZ2a3+YH8SKEIE6ADRvvG8xNJKc+0eXuu0VsFtIaiakGIIsCoigwnNWp2R5RNNeO3iycWoXNYPV1Dm3iSXv+il9lzjTY7Dsqc0L3VELi5+17PrYg4zrxfmxyANEya3BDhP6UQWGnxh2HJzAbNr1WfWcuywdrLNXGpeaAjBQ/Q6vxfkaJBenBSfDw6JU9dvfmqJo+h4pVLC9EVxRUVaXmuFiuh+/Fe0+tVERIBgxVpm75uKc0zmu8X7YW5qkJAMHKGoxPrJll1LjEmB9GeH6E7QVIosDMMlHQnSTRsLrAUoPY8ttLvtzZ15rVuiers7uQJpM20LXGgIli/4+sxKE8e/pT5DIy2caqayU3UHNLlPmkZMjlwdAFMmmZqhuhSCL5lEpWUdBliTCaC1wQgYIIeXX5lVEW0BSJnKaQVkV0YrNa4Is4XkDN9/ECj7QkIgTQo2sMLhHW7omgaiKpJW5X05ShaQpGSsXQIW3IbOtLk9ZkXM8nEhWGsgqaIrMjpzGc1zirN4thKDhBo87bEudd6uloysJ7GxGbiFRJpC+lr7hKnL/y7znFh51SJQShEWE273WTeEL1WNzHVupzigB9SuwjyRiQSqW5cKiX87b3MJRPz2pVqgy5zGK7QTur3ZwA/Rrk0/HE19wHqvm7iQT0K4uDYGbbLoMgiTimT7kh/VURJGHpb+yEEPghM7ZDxWyt8otA3Ic7YQ5tVjhRG2ZJgzisPa1ps4uXog+m6zFRNwnjYqLUHY/Jsk2x7JDWU6TS4mnzKkXAjyK8JfI4m0E7p85RNlD0Vq43agBZLe43rh+P06rjIUlQtz1ksfsVMhMNqwssNWTaKd6qAWf3LRdztpCdOQ1DVShoItONAAgvhLrrk1FkBCUiIK5d5hKvcqMVFkQK8Z5CpXmqgKrCnt4sdhAwnNPY26PjBSGqLOESIYhQSMdagOHEPqKUCl4EsgsZATQ19mHUGtdQlNgUZboBihrfOU2CMPS541CVMrEd/hkX9GMoEiHQmxdQrIiT82Ydz4Xpoo25xGpBBlIpGV1TsByfah380CfEJJWS0DWdIPQYqTjkFC+2xYci01WbcdPEckL60uDZsdbUDAV3iTcFFGrxBBASR01ty0mMT8/dXLfRBk1T2TOQ4c7jyxcHGkzD8XpDY4oWagCRFOE3wtR85oRWcxLSGr89WtMaDAMyhkoQeQiRxK4ejSvP6cVyQsqGQk4H14SsAba5hE7Yxo6gqhRvxKkE8b5PTYP3qTlxhhQnjYtLXFYCMikBQ1WYtB1i2wLk0zpZrWlwW0haESm6DmXXpTzv5oiNn6U03oIQJyEXMiLFSsjMGnbsTovQm5MRhIhKLUBRBPqyBoYiMF93K1s+luvgRhGiqGD6IbbtIoWwa0jA9RRs5/ShjlU3IAoaUZTBXLtDljfDeiyfbycDWRk0RUAWImbMeCHjOAGqqFDo08lnOiHaVyYRWJsYQwHLb9EkGEVIosh03SWK4iHg2vDI6DQvfMouJAFM28e0fCpuwyyxQr83iEOd5yOK0G/oyKrMOUMZtvfGFS6m6y4nZ6oUKyaiAIYaV3L3fZiqNqp8E4fmnjWUZapUQyhH+EG8YgvCCFWR8D2DnpxFFMXRD83qRXVgZLpGIaeyPZtGVkRygsRJc87gpWtgaDJWGCclGcyZmBQRUrqEKIWIoo8kQ60O41WHbA1MB4pAoVzF8+ZMec36HTkNcjmJ/p4Qw4uI/NjslxEgl9JwPQfBjSOnMjqoosLF+wwOj9bQUyqh6+JEIoMZDVURCZeoldWjxJFoUsO/EhBHwElhXL4nr4IixEZCvyGwmuHaMnMJ4ykRMuHcvVuOFCApAilDolyP6M8ZFDI62/Ip7j42w2TFRlVFMmFIQdeYqi7uLD0ZqLYYWtr04UZio1yYuFCo+sz59STisG/fXLjQa6Y+FAxI6Sp9GZWK5ZCy4s9rioi7xHgRge39WXRZYcKxFiwoM3KsLZwqsDLEe1MZKmzrzaDrLtKkzUxjm6BT78bpZLeqQMbQGMzqzKQdnCAEKUSSFpoxal6EaTmYfhxIpQlgC5BOiQzn0/QZOq4/RdUMF9QNnY9PbHo0VMimJbypAJP4fjf9bQJLV1uRlvkSeRm0FGi6yti0Q514z7Gy5ZFSBbwgxFgHe10isLrAUvshbVNh3G3dLCgQd/KSuZL3Z46y6TFZM3G8uRDsCBivQFoVqbsBozMWnu8RNUbnSvk1/YXYjJkiNp/oQMFQmXJceqII0wtx/HjvmwePT/PYmInpxAN5ue9YrkO5ahFEEYIQh4yndRVDl9BlkWJoUauAZoR43sKRI2sKYiSQS2mkNR0tLfLw1Ny92TOUZUdO49DEDI4ZoKow4zSin5Q4MKRYd5FEhcEemVrdwXRj4dQUH9OnzFrNAW05YE0GiHJj9+O0yEw1xPHAshwEMU7klc04uEJW4Fnnbec5F4pEYcT/PDzGdM0CEVw/WNLsMpiWUHWJUIjo9zxEEXRdAcGL67VJ8X31wjkfSKqRgGsGc5qCHcbPdbn6js3XI2INO29oZBQFUZIYSKsgCExVbUYqNSIhjEtkiSITS3SWoEUfu0gsaFLE2rOmCohytCjVoxmJ1swta5rkIhpBQkYs0FNpnV15AysMyWcU6raH4IHrBiiqsEh4CIAoCPSldGZMjwWevTB+pqI/F6quEpu/dTlufUaT2TeQ44f+BHrdpWQtFFinE1Y68aLHj2Kf7Dl9WSp2wJTpMHXKTpOGJDBph0xWYVp02Deskc8oaBoIfoQCZHSDjFanssyCMyReLGop6M+nEcUaUzMhRW9uq55mKSyRhfNAEMUCbf6jlYCcEVe6D/0Ac17/rTsWhaxG3oh9bd0mEVhdICWzwOcxoMGebRnEidoCM1YTnblO0wwvFYCcrmK0mDisyDK6JKCoMvK8GTEK4tXWVMUhjCK292fZu63IPSf9RR2zGSigAD2ZFOdlNR4dm4k7vyqxqz+DHwSMWx67/ZCsHq8OZ8yAyD29A74OPDLp0yuDrMb7L/VmNXKGiiFJTEkaLg6mBT3VhTNkWhHZlkvhuAGKAkG4cDn3xKE8ihIh04flTSCIKmHgIqrxxBNGIqIgUUir5DWFat1hshxHap2OoNF2xYfBnMxwX4qIGo4T4gCeBV4ceY/lhaiKQiGrQgQCArsLKfwwtieFocBSwVS9hQx9KZHD02WMlEQuo5OSRUYij9AX0VQJTVNIpeIwQBHoMWJ/VlQDP5pzSDfD2udHdTUF2kLtICKjytiCj6GIOH6A6bgoskhWUykpGpXQRSVaUvidbDGjWCRO9M6l4KxteXb3pKhZAfeFE1Rn5gRrc+XfNGtKzBVX1VWQDRFVEFE1EVmW0IN4WwsBDyuCactBVvxFwkMAarZPT1qlt75Qo5lpRK70KdBPbIZNp0UKKQnT8ZCQ0BWR4ZzGBduyPDZRw8j4MBlQZc4fdeqmkc2Q8QDQhbgVmiiSUkUG8ylk2WGkWmHqlH6e0SQcu9HfQijXHAo5EQKZbFphsmyTT8tYeRmn6FP1lw6sUeRYm714Rx8PngzxfQu7GODQ2Eom/tpkZFD9OatC0wfd7KIKkFdizcrQ4nHUn/Y50ViRl+owmFHxQxjKJgJrS1I9ZQVdMAQGUgaTam2Rt9cA8jqMNfqtROzUFKU4g7yvRbvwnl6Dbb05ar4HoT/biEwm1oymqzZ+ILGnR6dU2065foyJ0kKBlVLiHXEzmogXegzl+4gQGK/UiSKR7Tmd6bpHFLpMmS5GY8O2J+/Kc7JcgxmP4mksmM1gj6GcjqKJ7OlNsXsoT4+hcnBqhioN05AscekOBcsFVQ3Z25fBDXwOzZQYm3Y5q3/hxBNFEWlFZXBnCkUWkER4ZHKamRrsyOvsyKYYzPqcN5BD1mScMEKSyuQtn2ONwacAORmm5z0/HcinAD9+Jn09Kfb25MjICkeKNRzfo1oNYyc00BeC63oIgsBj41UG0gqBEK/wNTW+v82cnfn3PqsL9GbTnJyxCXwP0zRxRZXQi7f9UDSZ7bkUCB6OFeEFPoqsIYghfuDhN2YiVYr9PpoW/10y48WQ2rimJIDTmNElEY7OVJkqOWQNDVGUGau4/N13j8z1qyxUgvaLGeWJr29G0KeKXHl2P/05nfFSvIAyzUlKjeR1VQPPidvpMpf/ldEbkYRBiJ7RGUzppBQJM4pQJZHJxow9bcK2vMqpSycF2NefIQgijGVqiDXDv4d6dfb1Zan7ASfLNXxPJAwFym5Ij65z7iC4vk/ol5HLceUOVQa7cUmRRi6fGIesRw3tO5tViAQRQ5VRFIm0rjA6aXPslPkgpUqzTqYQkGSZtKoQCBGmE1G1XTwEhvIpTKtCuaEWZkSozVtVSFKsPed0mX7DwPR9ThaD2QVMQWkENwVz/k8PSOuxDzpwGpGkAuRSEjt7U6QVCVWWOBAGnKjHvTcMwA4jXNfHcrsfJZgIrC5w6sKzZEZkdYlMSkMoObMrwAEF+tIShZxG+ZiJxZwpUJRin0WrGtZAPsUzzu2lVLWYqsajQCQuapo3JFRVYViX0SWRp+wt8F8PHltktix6cHYfIKjsKqSBiIwkccQOmbIchrI6T9zRy8GJKoWUihfEUYK/cE4/dhBxYLTI4YkqtgUj82ZjnXjwuY2/tw9onNWXQRVEdvZluXh7lrSqUrfjO+MRh+Xu7tEpuRFBGDBStTFdh+OTNWaqIMsLJ9FDUxWuzPXzlJ0FhnIGM3WHGcujNwV5TebKC4awbJeBnI7t+ezMpyhoCnXXRTxepFiFviw8eXc/D41OcXw6Djs+f1eOtCpQdwKGcin6swa6IgMhPmA7LnWrynQjUKJugxuGlE2PYsWmZLpMVk3qbkC17jOQVfGcxT6T6brHk3boiLJIaIMbRGhyyEwNshkBWRA5b7jAcFan7vgcKdbRVAnTdbA1D6exKaQoQC4joGsyYRigKSF1q5FQLMYmxZnGJBlFUC57jFdhtOqgSlVy+sKFQEgcvtwqgwZMzJMXfTk4XmkkwrshWUMlr8tEhViXmqjbFKs2lh2bQV0xFtByYxD15yVSKRnHCdA1lXMGsuzoyWD5HqIpEiDQNOb5wJO39XLP6MkFbbKA/kKKUsXGdJc2sR+34kn83IE8g4U0E8UaruNSd0WcIKCgK1Qsl96UDoh4gYAkVgmjCEUScPU4ssEPY9+vBLhBvBed54LvCmzv08kaKoosYjrBImEFMJRPkcvC6HQjWEgLcMMAPwyYqpnUvRBdlUgrcURuc22V0mOTtEu8Jo5z9ELSqoIsi+RVg5RqU3fjFJv+vMjxqZAgmkuWFwFFEkCNCCII3Xgu0hWJc4fy7OhJcWTcxPYmZ9trh/DoaIWJioXj+Fywo6flvtIOicBaBywXinWbmjknrEQgn5fJpdQFMcqaFK/IwhDSsoR/auTDMnhBiCKKZFIKQsNcFgJSJKCpCjlVZNL0UFWJwbSOHi22vLvAE7YPcv72HKYdcGCySkaKcAMfRYCaHXLetgyRILCjoMadG5ioWEQRnDOY56yBHo4Uy/SXKxwfi5DVOHKwasZXO2d7nl95yk6Ol2xqlosmixRSGoIgITaSSyQgm9K4b6TIaDFCAHb0a0iCh2nFvqWJysJVdM0OqLkBhbTGWMVGEkROluuU6x5PHM4zkNEoCxEVM8DxffqyGqbjs6cnQ8X1SekO/RmNswfzlGwPRbToy2nsLWQwfZ+Ld2Z4wo48x6ctTNvnrokadT+goEsUDJhsSH8LmKq4nJy2eWSqRFpRKddNnECkoEkU0hpLbXN05/E6z71AIK2KkDGYKVdjf2QIphPgOj4yIb0ZDT+AgYxCKESIgcK0YKMLEbomkc2oRFG8P5EYhZRsl1wqxDAUJCFipupQNH00FVRVQiTEqcSTlulH1E9ZJU9VV5drde5wltLh6qyZ6km7+jj0YLwT9ngdoigkpcWVHG0jwFDiavCKIZBSVHw/QFXiBYIUhqQzOllVZgYbUYCBrM6+oTQIAnc8Osn3H5pacP0nnV2AuxYKLIA7j45x8LhJZQWXcMkD2w8JwwCfCDFSkcUAzw/JpxUGXL0xMZtM1Bve2kigJ5OmL60RBAEnSjX8ICSKJFJiSMX08MN4IQERQ1mNQkbl0PjS0SqKLGAYGuDgAMdGIy45V+a+o3UmDZ+8HlJI95JWJGRpbgwrosiO7SJZI83+k2VkUcRxBUzfJ6sr2GFAT3zbSKuQTRmkjTq+G7sMcuk4+CSX0vACFz0rkfU8UrrOjh6dXQUDQ5NxAh8FiaaojJOpRQTElnNG18Kmy8NyHIf3vOc9bN++HcMwuOKKK/jWt77V0mdPnjzJNddcQ6FQIJfL8cu//MscOnSoyy1ezKlVDGrAVM1FVebeCQHL8ilWLKo1j750HJmU0kCXBXpzaQpZJa6G3gKWGxCJInt6Mwjx6GgU3dXJGQqSItKfUcmpMroms3t7ajYKbj6X7OljZ2+asVKNY1N1xqouQhBRqoOqhCiyxN7+NINZnbwR26wnzYCK6VK1fGzXR0bCUFLsHtYYLGhk0jqqBBlD5tzeFOcN59jTq7O7P822gs72njQZTZzdB0gGcprIY8WIeuP+lRqJrE1zXfEUK9XZ/Wl296Ri/4suo6gSWUOhJ5smQkBqRNdlDYmcLnNiyuRIqc7hUp20IpLWZFKaRNXxqNsuM3WXiukRSTCcN9AUhTCIGM6phAjU/QDHCdFEiZq30I8wY4Hv+wR+SKkecGLc59iUy2i5xmB2+Y1YHjhRpFi2qJnOrA9UACoOHJp0+MnhKTIplYG8zlkDOYayWVRFQkDESKn0F1LsyKY5uyfD+QN5dhUyDKVThCIQRRiSzFA+zbYeKOgi5w71MFDooUDDr+H57D2lOu9qp6CdhfSCe7Grb66XhcR7bakC2EGI4wWMl2zqXojvRvRkdIZ6MpzVW+AX9g5z9rY+njicR1UkBjIGmiqhSAI5XSKlSmRSyqKaflM1j54lhsy9h0xG3dOnl2zL6SiyzO6+NH15GUmSyaoyBUMhjCI0RWC87uLYDq4f5/ZJUogmRaQ0haymkjEMzt+W5fLdQ5zVlyaniWi6TDaloasyBUNlrLS0wPqv+8c4cHKuc88AhyfKTLtwrOxzYiqMK9hIIqnsnL7hRxGm7aOoIlUbxmshtucykNXIGir9hkE2pdOTEtF1EU0RSMuxGTanQ0ZX6M8r9OaURv9K84SdvZw9mOWs/hz9eQNDFunL6Qz352evqwNPHDI4eyDNk7Z1fl+8U9l0GtbrXvc6br31Vt7xjndw7rnnctNNN/GiF72I73znOzz96U9f9nO1Wo2rrrqKcrnM9ddfj6Io/NVf/RXPetazuOeee+jr61u377BU8JQXeRBFCyKKyiYIqYhsToBavApLKSJ2GOLVHcyMtqzN/VQUScD2fM4eSrEjn+PQyCSiDk/e3kfeULlkVy8Vy0OWRN5/211859H6kkmZT9nTQ06X+dI9h4kiqDg2ZhibHGbMAE2IqBKRNRSURu2wtCLiBgESAkIUEIkhVc/CtUFWJAbSaRw7QBQlxk2HoukwmNXpzQoMNhJSJUlCFGUMAtIpuHxfP19+YG71LEkC/Tkjrle1BBft6WNXf4qsoZBLaQzkDB45muWe0Qo5Tcb0I/KGjK4oZPIG//PgOFEIk1WH/rRKGEYgiERRRM3x0VSp4fNQkKVY0z1WNOkxVHb3G+weN6g4AYP5NHcfX1gCwgHOGsxycKpKJAg8MB6/fmA6pGeJBNwm33t4mnoUF7itBGAQzoaruxHcd7TCCy/ZTU9GwHYlsnrEZLVOSheRBJlBI54QwyDAcWMTW7ww8iAQUCWJlCIzWDAo1nxKpoMfxtuxD8hwouTxt988uKBNF+6Quffk4kCG5SifElGyp3/hJGYoEl4kkFFEjvoRqbSCXQ5QdYWUItGjq/RldPww4pyUihUE7C6kOFm2SCvgBiGCILIzb3CyZ7Hu98CR6dkKHfOptvgFqqbDE3cWyOgKY9MmdmDjhRG6ItKbURFFAUWsISoqGS1iMGMgiSKSLBN4IZIqkVMEegyNc7ZlGe5N8dj4DAiwvWAwXDAYyGhMlJf2Cz48ufg7nZiXozATwGMTFcIBA11W6VU8Sl5cIMD2IAwETOLFaqkGe3oM6q6PF0RomogfKAgSSAhICgg+GLrEcF+KQUNDkSUURaTH0AgFEBEYzKn06hInqyEDaYVfumCYnz0yzQyQzcBTzx3mkiAkpXZfnGwqgXXHHXfwhS98gb/4/9s78+ioyvv/v587d+bOPpN9gQAJYQvIEmQRVGKpoEVb5QdVv1pQLNJDVWz1yFc8Fvm5tNQq/VmrLSpoFQWaSqn1HERUBGMVUQSpbAZJAgFCyJ7Z733//hhmyGRhqSQzY+/rnDmQuySv+8xzn89zn+0+8QTuu+8+AMCsWbMwbNgw3H///fjoo4+6PPfZZ5/FgQMHsG3bNowZMwYAcPXVV2PYsGF48skn8fjjj/fINXSF36chN9OF8tq6aA20lYCbgBogPIHwBNuQFl60rFULodbjQ1A99/6DLIcFGogRfd2oD/hhkY0YMygdAOCymOCymHDF/30L35xqO4/0mbX9CyPyUhBUNRSkuuHzNaKPy40TjlZUnPRhSKYbVsUEB4PRJZMAIMttQVHvVNQ0enGy0QdSwG5U0KISDouMotwUpFrMqG7xINViQn1rAPkZdmgqUecJQJbCr4WQ5AAEgDQrMDjHHXNtdqMRKRYLunpX757qehipoqhXCrJdFgRCKlRqSLEpUKFBkAhqRO8UE2yKjAG5LjQeCkIxyJBEeLWOLIcCl8WEoiw3Kpta0cdtQ590a/iFeiEVja1BOM2ETZYwpHcaGlp9GJ3nwhff1KDJE4gZTzOyTwqEBNS3+LG1vAHAqblVZ6iAtJ76IprU099PW+pVwKYYEAoBaXYT7IoRzb4gWv0aglAR1AgGVJxo8UGRQ7AoAt6ACoMADLIBGTYz0h1m1BzyIxQM4nAdkO22YGCeDT4/saOTIawT8nvhiyMVXTq35+DR2Blg7nav/m1oDSLdZoRJNqB3moJJohcO1jRAC6hQJQkWsxGaJMEfCMJslTEg0wktRIS0cOXJZpYhS+Gmu0GZHWv0x1r957Xye3sOnGzEYG8ajAYJ//q6BhUeoI8C/OjiPPRKtSDTpSCoanDUNsNuNsJqksN9fBoRNBmQASJIQDIIHG3wwmQwwGUxw26SkWoxwW0xwWySMTDTiZ01J84uhPCAk7bjuE40BmCSVByvV6PLvXk84RGj9S3hq1cRfnpSIZBuN6GpJQC7bIJHeKGFiIBGCCFgkQmz2YhBmW7kpligahrqWkOwmg1wWYyo94bgNhvg18KL8QZDIfROtSPLLSPUFEK61YTn3tmHrV/X4rLCdPzvDy/6Fql/dhIqYJWWlsJgMOCOO+6IbjObzbj99tuxaNEiVFVVIS8vr8tzx4wZEw1WADB48GBMnjwZa9eujXvAqq5TkZOuxrTBEuF5SC2+ABrUU+vCySYEEEDIAwRDEtQzLRrWBvnU8DObScYlBalwWRVYTUBxXmwn6DftyqQhKRK+qo/tJzMaJFw2IB19Ui3IclmQ61Rw0quif4YN3oAKv4qYJ7+B2U60BFQITUNNUyuMkoCqhfsi3FYTCrLsyHRZUBhwwWwQyHaZIYQEnxoEATQHNORbTFADMhRTEDJk5LVb4WN/rQ8nm7seR737cBO8/iBmjC8AEIJilNASCOJonQf2TAsynGYIhkfrNXlD6O1W4OuVCo0aTjb6YDZKyHJaMSTHAULAaTMhx6lAEhJMRgG72QyXNbxqdoMngBNN4dlQQQgMyHFBNvnw2ZHTzTwOswH9M2wwZDkw6LODONwI5GcavnUtVBGEKiQ0eEKQJAlCAEJogCYhxPCTgEE6tTCp0QhFltEUCCDTasKAbCdkgwHDc91Yua0VQBC1DUHcOXUALLKEHUf2dfh7pWXnHqwAoKbpdNFqBqLNxhFCmgZPUEWmQ4FZFmj2quiVYkdNQyvsVhO0kIYmvxcBNdy/lW4zIaQSfdNtaPWbkOFQQAhoqtrpqgwFqRacaPSitencGzP72sL9az4ARxv84T5Qo0DFqXul0h9+L11LQEOeywJJCJgMAilWI1oCKhSjAWB4sEX5sUZQVaEGNQhjeOV7RTZARXg+W4M3gBSbCTeM74O/7j63gNU3Q8GeE21WwwgB1joVbRZTgcMRngwfmYAgA7AZAAPDb3wIB1cjKLzQICHFYkKazYh6j4pebiv6pFlRmOXE8SYP7BYTbCYZsiRgt5qgqkCaVUZrkHCYDLCYjShvCCEIYG9NAN/UVKIZQGVNZbcHrITqw9qxYwcGDhwIpzN2aeyxY8cCAL744otOz9M0Dbt27cLFF1/cYd/YsWNRXl6O5nOdkt9NaAg3Z7QvcoNqEM3e0+upKYoBJiEh3WJAqsUYDkTngMtiQrpDgUk2IDvVjh+M6IXvFfVCtiu2T6L9Qk8/nTwEOafK0KKM09v7pNmQnWKFNxCCxWzCmPw09E61wxcMoabFC1+b1RrS7GZkOS0wGGXUtPpwvMkHj18DaIBFDheu/oAKiUReuhWSkBAKaaCmQhICvdzhlzRabUbYreF/FVnChHxrzAsP2798L9twOgOHNA0qVVhNMtLtZvgCIQRIZLjMSHfYke2yINVhhmyQoGkEhQF90yzol2ZBXoYNbqsCahpOeoM4Wt+KqkYP9h5tRjCowiQM6JNmw9j8NBTluuBQZLR4Q2jyBtDoC2Hq8FyMLUhDbyVcGx6SER4tVpDhQGGWA0v+TzF+8YNB+N+rv/3NbDcbEdKAE40eVNW2wmYyQTHIUKHCIBGZNjPyUx3IT7UjP90Gp8kEl1mBw2yE3WxEUa4dRX1OV2IaCVx/cR9MKsrB6DwzUtq1WNaf4QG/sxXnG9oc3ys9PIw+8vZdBYAiS1ApgQB8KuAPaQioKuw2BWbFCLMp3IFPSUA2hPNJhs2EPmlWFGQ60DfNAbsp3MSb2u6Fgb1twPTRefjhqL7nlaYLfzQcVmP4elqagWynAlu7+y5IAZtZQnWTH2pIhdVkRGtQA1Wi0RtCMBCCAYAQhN1sgsOmINNlQVBVIRkIq1FCoy8IgfCoy6I+6cg4x9L3Nz8e3WHbsXbx2CzJCGjAzupwL50RgCcI0CAh1WaEwcDwxF+VMBqAbKcFEwdkY0yfdGTaFCiyhNZgCFZFhj+ooaK2Bb5AEAYIZDpMkAwyeqVY0CvNjizn6fUPAzg94bonStiEesI6evQocnJyOmyPbKuuru70vLq6Ovj9/rOeO2jQoE7P9/v98LdZn6uxMdys0dTU1eInZ0bzxz7GGBEe3nu8xg/NH5vT6hrCo3bMp94qGPSosClESMhINYfQ0NCAJuvZB14EVQ3N3gAkKdwH1ozw0PBQuxr9n/9nMP5n5efRnyf0c2LFT0fhaKMfOS4les1mEULQ6wFVFfuqamCTUhEyyfjm+EnUNfkR9LYg1x6eh+UJhCD8LTh+4iTMqgp/KIigvwWhgIxq+pFjM8AXCsJqkmGTVTiV8HkaiQyXBUGfQJMIYcawTHxW2YDRfdwQQR/uuiwfFSc9+MOGf+OIByhMAfa36S666XsF+OjgSQhDAGkWAwrTbag6XouQquHA8RYMTLXgSF0rRmUb0NzUBI3hd4Q1+0MI+Dyoa/Ej1WpCilGDRwqhvtGL5qYWHKlpQLM/CJPLAgUOSJqKkIeoC8pItStIVzT0T5XR6tPQz0r0Sjejj1PGhDwLmkMa3GYZBtUHnwcwWUwoyrahX6oCjcDJ+gYY/R74ES7Az3eGU1NTE47VtqKxVcVJTYXZIOBtaYbXF4LDqSDkN8Lr8UENyVB9Ao0tfgS9PnhghL/ZiKNSEE6jhDyjB4dbgIHpQMjnQSgQwp0T+qC6OYAH1n0V/XvjC2z44GDnQxV+OaUQv974dfTnoiwJe45r0SbmK/P7oqWlFYXZgHrEgyynjJraBsiaH8aggoCqQvX7YFQDSFNk2C0SDnsDCAYDkIUGo2ZAc3MrZC0Aaip8AQ2SokEIA+yCCPiCMffaozeMxIAMC/qlKvh/G3efc5oOSVeQ4/KBdRqyXRL6u2WYZGBCLvDlEQ9G9rbDqnlx4LgHAU3DsXovGr0BGEAYjOFVEP0GGQICms+Hk8Eg0hQHVH8IckgNr18pCQhVhq9VwOiW0dTkx+BeCo5/XX9Gt+JeMvJdhg5liozYATE2gw1SwAPDqTcBuJwS+qVaIAc9ED4vvK0+GFQfhBqAWTLAoPpQU0s0tPpBTcMxKQifxwghgIpaL3xBFaGAgsJMGzw0QQ140dwkwn27WmwZN9BtRGVDEH3cxv+ozIycw846H9vDBKKgoIBXX311h+3l5eUEwGXLlnV6XmVlJQFw6dKlHfa9+OKLBMAdO3Z0+XcXL14cmU+nf/SP/tE/+icOn6qqqrPGiIR6wrJYLDFPOhF8Pl90f1fnAfiPzgWABx54AL/85S+jP2uahrq6OqSlpUGIjk83TU1NyMvLQ1VVVYfmy0RHd+95ktUb0N3jQbJ6A/+ZO0k0NzcjNzf3rMcmVMDKycnBkSMdJ/0dPXoUALq8oNTUVCiKEj3ufM4FAEVRoCixjfdut/usvk6nM+kyVATdvedJVm9Ad48HyeoNnL+7y+U6p+MSatDFyJEjsX///g7toJ988kl0f2dIkoSLLroI27dv77Dvk08+QUFBARwOxwX31dHR0dHpORIqYM2YMQOqqmL58uXRbX6/HytXrsS4ceOiQ9orKyuxd+/eDud++umnMUFr3759eO+99zBz5syeuQAdHR0dnW4joZoEx40bh5kzZ+KBBx5ATU0NCgsL8fLLL+PQoUN48cUXo8fNmjULH3zwQcyokvnz5+P555/HtGnTcN9998FoNOKpp55CVlYW7r333gvqqSgKFi9e3KEZMRnQ3XueZPUGdPd4kKzeQPe7C/JcxhL2HD6fDw899BBeffVV1NfXY/jw4XjkkUcwderU6DElJSUdAhYAHD58GL/4xS+wceNGaJqGkpISLFu2DIWFhT19GTo6Ojo6F5iEC1g6Ojo6OjqdkVB9WDo6Ojo6Ol2hBywdHR0dnaRAD1g6Ojo6OkmBHrB0dHR0dM6JeA950AOWTlyJ9w2go9NTRBbVTkbWrFkDAJ0uVdeT6AEL4deaVFZWxmSoZClIPZ6OL91LBg4ePAiPxxNd6zGZ2LlzJw4cOIDDhw9HtyVLflm/fj3mz5+PgwcPAgivm5kMvP7663A4HCgrK4u3ynnzxhtvYMqUKVi2bBkOHToUb53zYvXq1ejfvz9uuukmfPjhh/HW+e8OWHv27MGll16KyZMnY8SIERg7diz+9re/IRQKQQiR0IXQvn37MHr0aPz0pz+Nt8p5sWvXLkybNg3XXnst8vPzUVJSgrKysoRO6wi7du3ClVdeiWuuuQajR4/GiBEj8PTTT0fzS6Lzzjvv4Prrr8crr7yCf/7znwDCy5olMjt27MC4ceMwZ84cTJs2LanW1quursa0adMwa9YsmEwmWK1WWK3Ws5+YAETSffbs2XA4HDCbzZ0uLt7jnHU99+8ox48f56hRozhhwgSuWLGCK1as4Pjx4+l2u7l48WKSpKZp8ZXsBE3TWFpayoEDB1IIQSEEN2/eHG+tsxIKhfj0008zIyODkyZN4q9+9SvOnz+feXl5HDx4cEJfQyAQ4GOPPUa3281JkybxD3/4A19//XWWlJTQ6XTyjTfeiLfiGYnk488++4xpaWm0WCwcN24cv/jiC5Kkqqrx1OsUj8fD2267jUIITpo0ievXr+fx48fjrXVeLF68mEOGDOGqVatYWVkZb51zorGxkbNmzaIQgiUlJVy/fj3feustms1m/u53vyMZvpfjxX9twFq9ejVlWWZpaWl02+HDh3nDDTdQCMFNmzbF0a5rysvLOWzYMKalpfHRRx9lUVERx48fz2AwGG+1M7JhwwYWFBRwzpw53Lt3b3R7WVkZhRBcuHBhwl7DW2+9xeLiYt5zzz3cv39/9IY9cOAAhRD87W9/m5CVm/aUlpZyypQp/NOf/kQhBBctWhS9lkTyD4VCfOyxxyiE4Ny5c3nixIku80YiebelsrKSWVlZvPvuuztsb0si+be2tnLAgAEsKCjgc889x4qKCpLkwYMHmZKSwunTp8e9cvNfG7CWLl1Kl8sV/QICgQDJcC107NixHDZsWELW6CoqKrho0aJo7fiPf/wjhRB84YUX4mx2Zp566ikOGTKENTU10W1+v58kOX78eF555ZUkE+sGjvDhhx/yySefjHEnyXXr1jEzM5Nr1qwhmZju5GmvTz75hC6XiyT5/e9/nzk5OXznnXdijkkUtm/fzokTJ3Lw4MHRbevXr+fs2bN5//33c8WKFdH8k4hs2bKFVquV+/fvJ0n+5S9/YVFREYuKinjdddfxtddei7NhLJFy8KOPPuLu3buj5WGEMWPGsKSkhD6fL6555TsfsCJfRPtEXrZsGR0OB99//32SjKlprlmzhoqi8PHHH+/03J6iK3efzxf9/759+zhlyhT27t2btbW1PerXFW2927rv27cvZj8ZTveSkhJeeuml9Hq9PSvaCV2leXu2bt3KYcOG0el08uGHH+aXX37J+vr6mN/R05zNvbS0lIWFhSTJHTt2UAjB2bNns66u7ozndTddeUeeBO+9915OmTKFQggWFhbS4XBQCMHp06dz9+7dMb+jp+nKffv27ZRlmevWreOKFSsoSRJnzJjB2bNnMzMzk0IIrly5Mg7GpzmXvK5pGlVV5c9//nO6XK5oHo9XXvnOBqxIv0P7J49IQr/zzjtUFIUPP/xwdFvkCzx27Bh//OMfMyMjIy61uK7cu2LNmjW0WCy8//77u9nszJyvdySgjRo1ijfccEN0Wzw4F/dI/li4cCGFELziiis4e/Zs3n777XS73bzxxht7SjeGs7lH0nTbtm10OBysrq4mSd5+++1UFCVa229tbe0Z4VOc7R6tqKjgjBkzKITg9773PW7YsIEVFRU8cuQIH3nkEUqSxJkzZ/aoc4Szpfn27duZnp7OW265hSNGjOBDDz3E5uZmkuSuXbs4depUpqWlcc+ePT2pTfL871OSfOihhyiE4D/+8Y9uNDs738mAtWXLFg4dOpRCCE6ZMoVfffUVyY6FYXFxMUeNGsUvv/yyw/5Vq1ZRlmU+99xznZ4bb/e222pqajhnzhyazeZojbOnC/7z8W5LVVUVbTYbf/3rX5OMT4fuubpHfl63bh3XrFnD2tra6LYHHniAkiTxiSeeINlzNf7zSfe1a9dy4MCB0abupqYmWq1WXnHFFbztttv4k5/8JBrMEsV71apVvPXWW1lWVtZh380330yXyxUtRBPtHp04cSIlSWJ6ejo/+uijmH0bN25kamoqFyxYQDIx80tbr61bt1IIwbVr157x+O7mOxew/vWvf3Hw4MHs168fZ86cSSEEly5dGtNpGykU169fTyEEH3300WhzVGTfvn372Lt3b95xxx09lpnOxb0r3n33Xfbq1YvXX399D5jG8m28t2zZQiEE33777R4w7cj5uJ/pJj1w4AALCws5YsSImCbb7uRc3SPeW7dupdVqZVVVVXTfTTfdRIPBQKPRyMWLF7OlpSUhvCPOjY2NHfoOI8d9/PHHFELEtJIkgnukDNmwYUN0JG/kSSrSYlNTU8OrrrqKeXl5CZdfOmP37t1MSUnhXXfdRVIPWBeMr776ioqi8K9//StJ8rLLLuOAAQNYVlbW6fE/+MEPmJubyzfffJNkbA1/6NChnDVrFsme+YLO172tV0tLS/Sx/d133yVJfvDBB1y/fn3McYniHeHZZ5+lLMvR5pJQKMTy8nJu3769273Jb+dOxtaML7nkEo4fP77HCqD27pdffvkZ3VevXs1BgwaxoaGB77//Pi+99FIaDAY6nU4WFhZy69atJBM3zds33Z84cYJut7tHm8LP1/3mm2+mEILz5s0jyZjgMGPGDBYVFbGxsbH7xfnt8npNTQ379u3LyZMns6mpqbtVu+Q7FbAiwaZtjSxSg7/77rujGaNtIVNRUUG73c7x48fz888/j27/+OOP6XQ6uWTJkoRy76wwiVzP3r17WVxczIsuuohLlixhXl4e09LSunW047fxJslrr72WEyZMIBluHnz11Vc5atQoFhcX8+TJk93m/W3d2z91v/322zQajbznnnu60fg05+Me8X/33XdpMpl4zTXX0GAwcOLEidyyZQvXrl0bLVS7u8/2Qqb5s88+SyEEn3/++W40Ps1/Ur5UVVXR6XR2aEX497//zf79+/OWW27pkcrwhUj36dOnc+jQoWxpadGfsM6X1atXc968efzNb37DLVu2RLe3TchIQs+ePZtut5t///vfY35H5Et86aWX2KdPH+bn5/Ppp5/mCy+8wGuvvZZ5eXnctWtXQrp3RkVFBW+99dZoM8SPfvSjmOafRPLWNI3Nzc3MycnhjTfeyE2bNvGHP/whhRC86qqrePjw4QvmfaHd21JdXc0333yTkyZNYlFRUbQ/NBHdy8rKOHz4cA4ZMoTPPPMMq6qqovfAxIkTOXfu3AsasLorzY8dO8Z169Zx+PDhnDRpUreMjr2Q5cvq1auZk5PD1NRUzp07l48//jivvvpqpqSkdEtTeHeku6ZpfPTRRymEiI72jUfQSrqAdezYMU6dOpU2m43FxcVMSUmhoihcvHhxdMhl+8mQhw8fpt1u5/Tp06MFuKqqMQm+efNmTpw4kS6Xi2lpaRw+fDg//PDDhHVvz9atW3nVVVdRkiSOGjXqnJu04un99ddf02q1sri4mHa7nYMGDYo2Zya6++bNmzl37lzOmDGDDoeDI0aM4KeffpqQ7pFmqEAgwC1btvDLL7+MBqbIeRdySkF3pvnPfvYz3nTTTbTb7SwuLo7OR0xE97blS1lZGadOnUq3283MzEyOGjUqJpgkmntnLFu2jEKImMUWepqkC1gvv/wyU1NTuWrVKlZXV/PkyZO89dZb6XA4OH/+/A7HR76Yxx57jJIkcfny5TEZqe3/vV4vjx8/fsELnu5yb8umTZtoMpn4zDPPJI33e++9RyEEMzMzu8W7O93ffPNNFhYWsqSkhCtWrEga956oFXdXmpeWltJut3PcuHHd1gzYneWL3+9nfX09d+7cmRTuESIB7OjRo3zppZe6xf1cSbqANWnSJI4fPz5mW2trK2fPnk0hBN966y2SHWsJgUCA/fv357hx46Kzz8vLy2PadLt7NGB3upPdNyT8Qnu37VP785//3GFWfbK4l5eXd2ueuZDuX3/9dYf8kgze7dN8586d3Tr1QS9fOndPlJVQkiZgqapKn8/HqVOncuLEidHtkeaOzz77jKNHj2ZBQUGHxG0/jH3hwoVcuXIli4uLeffdd3f7hMlkde9O7+4eadSd7t099Ls73T0eT1J6J3Oa6+XLhSMhA9aePXu4YMEC3nXXXXzwwQejUZ8kr7vuOg4aNCjaud22trB8+XIKIbhs2TKSHZ84gsEgx4wZQ4PBQCEEc3JyuGHDBt09ib119/i4J6u37h4/9wtBQgUsv9/P++67jxaLhRdffDEHDBhAIQQLCgqicwdKS0sphOCKFSuiX0gk8Q8dOsTJkyczPz+/Q6fy559/zgcffJB2u50Oh4O///3vdfck9tbd9fyiuyeH+4UkYQJWc3MzFy1axIKCAi5dupT79u2jqqrctGkTc3Nzedlll9Hj8TAUCnHEiBG8/PLLeejQoQ6/5+GHH6bb7Y6215LhL+bOO++MLvYZmaT63+6erN66e3zck9Vbd4+f+4UmYQLWN998w/z8fM6bN48NDQ0x++bNm8eMjIzo6gevvPIKhRB86qmnom2skVrDjh07KEkS161bR/J0O+62bdui62bp7sntrbvr+UV3Tw73C03CBCxN07h8+fKYbZHRY2vXrqUsy9H1uBoaGjh9+nRmZ2d3mPC2bds2CiH48ssv94w4k9c9Wb1J3Z3U88v5oLvHx/1CkzABizwd8dt3CD7xxBM0GAwxb6qtqqpiVlYWhw4dGu0cPHLkCO+880727duXx44d6zlxJq97snqTurueX84P3T0+7heShApY7Yl0HC5YsIDZ2dnRWkXkS3v77bdZXFxMIQRHjhzJSy65hEajkUuWLGEoFIrr3IFkdU9Wb91dzy+6e3K4fxsESSLBufjii9GvXz+UlpZCVVUYDIbovtraWrz44osoLy9HU1MTFixYgEsuuSSOtrEkq3uyegO6ezxIVm9Ad08q4h0xz0ZNTQ0tFkv0xXhkuHYRea13IpOs7snqTeru8SBZvUndPdmQ4h0wz8bu3bvh8/kwZswYAMCxY8fw2muvYerUqThx4kSc7c5Msronqzegu8eDZPUGdPdkI2EDFk+1VH766adwuVzIzc3F5s2bMX/+fMyZMwckIUlS9LhEIlndk9Ub0N3jQbJ6A7p70tJzD3P/GdOnT2f//v05d+5cOhwODhgwgBs3boy31jmRrO7J6k3q7vEgWb1J3T3ZSOiA5fV6OXLkSAoh6HQ6o+tgJQPJ6p6s3qTuHg+S1ZvU3ZORhB8luHDhQgghsGTJEiiKEm+d8yJZ3ZPVG9Dd40GyegO6e7KR8AFL0zRIUsJ2tZ2RZHVPVm9Ad48HyeoN6O7JRsIHLB0dHR0dHSCBRwnq6Ojo6Oi0RQ9YOjo6OjpJgR6wdHR0dHSSAj1g6ejo6OgkBXrA0tHR0dFJCvSApaOjo6OTFOgBS0dHR0cnKdADlo6Ojo5OUqAHLB0dHR2dpEAPWDo6Ojo6SYEesHR0dHR0koL/D9FQT3l1SBpyAAAAAElFTkSuQmCC\n", + "image/png": "iVBORw0KGgoAAAANSUhEUgAAAawAAAEVCAYAAAC8DdERAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjUuMCwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy8/fFQqAAAACXBIWXMAAA9hAAAPYQGoP6dpAACdHUlEQVR4nOy9d5gkV32o/Vau6jx5Nmu1CkgIIWQhCZsksMl8xiALG4tom3ANhosNWDI2RiYY2+DEBSOMLWGDsSVkuARjwAYElyBQjqvV5t3J09Oxcvj+qO4JO2F7eronrOp9nnlmpru66nTVOed3fvEIURRFJCQkJCQkbHLEjW5AQkJCQkJCKyQCKyEhISFhS5AIrISEhISELUEisBISEhIStgSJwEpISEhI2BIkAishISEhYUuQCKyEhISEhC1BIrASEhISErYEicBKSEhISNgSJAIrISEhIWFLsKkE1k9/+lPe+ta38sQnPpF0Os3u3bu55pprePTRR1v6fKlU4o1vfCMDAwOk02muuuoq7rrrri63OiEhISFhPRA2Uy3Bq6++mv/3//4fv/qrv8rFF1/M2NgYH//4x6nVavz4xz/moosuWvazYRjyjGc8g3vvvZd3vetd9Pf384lPfILjx49z5513cu65567jN0lISEhI6DSbSmD98Ic/5LLLLkNV1dnXDhw4wJOe9CSuvvpq/uVf/mXZz/77v/87r3zlK7nlllu4+uqrAZicnOS8887jhS98IZ///Oe73v6EhISEhO6xqQTWcvzcz/0cAHfeeeeyx1xzzTXcfvvtjIyMIIpzls43velN/Mu//AvFYhFN07re1oSEhISE7rCpfFhLEUUR4+Pj9Pf3r3jc3XffzaWXXrpAWAFcfvnlmKbZsh8sISEhIWFzIm90A07H5z73OU6ePMkNN9yw4nGjo6M885nPXPT6tm3bABgZGeFJT3rSkp91HAfHcWb/D8OQYrFIX18fgiCsofUJCQkJCSsRRRHVapXt27cvUjhOZVMLrEceeYTf+Z3f4WlPexqvfe1rVzzWsqwlTX66rs++vxwf/vCHef/737+2xiYkJCQktM3x48fZuXPnisdsWoE1NjbGi1/8YvL5PLfeeiuSJK14vGEYC7SkJrZtz76/HNdddx3vfOc7Z/8vl8vs3r2b48ePk8vl2mq/F4R4QYgiiSiSuOj/pY5JSFgtSR9K2OpUKhV27dpFNps97bGbUmCVy2Ve+MIXUiqV+P73v8/27dtP+5lt27YxOjq66PXmayudQ9O0JbWzXC7XtsBaieYkIwNyEAJgqHIy4SSsGtP10SIQBUipm3I4JyS0RCvul003Q9q2zUtf+lIeffRRvvrVr3LhhRe29LlLLrmEu+66izAMF7z+k5/8hFQqxXnnndeN5raFF4SEUTzZOH6I68cCLCFhtSiSiCiQLHaWwQtCTNfvyPjq5LkS2mNT9fIgCHjlK1/Jj370I2655Rae9rSnLXnc6OgojzzyCJ7nzb529dVXMz4+zm233Tb72tTUFLfccgsvfelLNzykfX5nVySRoCFYRQFUOTHnJLSHIomkEu18WUzXp+74mK6/5nM1F5qJwNo4NpUN4fd+7/f4v//3//LSl76UYrG4KFH42muvBWKf080338zhw4c566yzgFhgXXnllbz+9a/noYcemq10EQTBpgiomN/ZmxNMGEEQhsmEk5DQRTqVaNr0RSdjdePYVALrnnvuAeArX/kKX/nKVxa93xRYSyFJEl//+td517vexd/+7d9iWRZPfepTuemmmzj//PO71eSWObWzK5KI6fpIYjIIIAkeSOgO8WKwM+Mr6Zsbz5aodLHeVCoV8vk85XK5Y0EXzQm5yfxIwWQgxKabMAkeSNgCJIurhaz1fqxmvk3u9jrgBSFly8Xxw9mJObGDLyQJHkjoBt0IlEh8WQtZz/uRzA7rgBeESKI4669qTsxJx58jCR5I6AbdGGNbdXHVrSjH9bwfie1lHWgKJ7GhMs9/sKbrE0Dix9pAEhPPmUs3AiW2aj+ZL7y36v3Yend9C9J8oM0Ai9O9nrC+JJrumUuiuc+xVTXD+Wzdlm8xmp0FWKCWnwmdaKuTPIMzF9P1marZHcnD2uqcKry3YiJ0YhLsAs2OAMx2kObP/KALZQkTYcL6kzyDM5fpmkPN8cloAaneZLqbT7dMhN1ka7Ryi+EF4bIll5LVfELC+mG7PjN1BzvRsBbRqbloPTW1ZMnRBZodwQtOn+KWOPxjkvuQ0A10VaaQin8nLKRTY209NbXkKXaBpq04XEJezX+4XhAyXXPQFYm09vh2DG9F80TC5qcvo2GoUpKM3kXWs2RV8hS7xFIPsSmkmq+bboAoCNheQCGlbmBrN56kTltCN0ipciKsusx6WkWSJ9ll5guoZgJx87cihSAJSdgtSeBDQndITM1nFonA6hJNE5ft+eiKPBs12HRMBmFI3lCTQZSQ0EUSU/OZRfIEu0Qz8KJZiglAEuPbrStysuJLSFgnbC+JEDxTSDSsLrFUCSbT9ZOw9oSOsVS+X8JidCWZ5rrJeppdkx6+jjQ1K4Cy5SbZ9wlrYqV8v4SYZIHYfdaztFmy9FgHmithyw0wVImq5WF7EVndJ9Wb2ejmJWxRFElEk+c2BE1YTHPsJRpo99j0Ye2u66Kqj+8w7NVguj6mE8QrkChismqjSCIZXd/opiVsYRRJJG8k43AlypaH4wV4QZSEt3eJTV+tfXh4mDe+8Y18//vf73R7zijmlyyRJQFVFrG8EEORURWZvoy26LiEhITOoUgCgiCgSMJGN+WMZT3nr7YE1tVXX80Xv/hFnv3sZ3PWWWfx3ve+l4cffrjTbdvSmK7PWNmi7sSBFoWUynDeoDejkk+pDOW02RVfsr1FQkJ3SKkyaS2pdNFNTNen7vjr4pNvS2DdeOONjI2Nceutt3LZZZfx0Y9+lIsuuojLLruMv/mbv2F8fLzT7dxSNEsuBWFEzfaAObU5b6j0Z7UFppzEMZyQ0D2SKMHuc/qqqZ2h7RlSURR+5Vd+hVtvvZXx8XFuvPFG8vk8v/d7v8euXbt40YtexOc//3ksy+pke7cEpusTRRFhBFlDma1usVz4Z7LJXEJCd/CCkJm603HrRWLGnyOlymS09SmBJURR1DHh+LOf/YyPfOQjfPGLX5x9LZvN8sY3vpE/+ZM/IZ1Od+pSXaVSqZDP5ymXy+RyuVV/vmy5uH6IKseCqNmpK5aL60cIAuQMZYFJMEkkTkjoPFM1myAESYT+TOeCnJr72jWLAyS0z2rm2zXf6cOHD/O5z32Oz33uczz66KP09fXx1re+lde85jWoqsqNN97I3/7t33Lo0KEFguxMJtaWFm7QWLZcTCeg7gWkFAnXD+NagpCUjkloi6ROXmuUTZfeTGejKZNizRtDWwJrenqaf/u3f+Nf/uVf+MlPfoKqqrzkJS/hz//8z3nhC1+ILM+d9uMf/zi7du3ihhtu6FijNztLTSBWo9KFLovkUwowJ6QS/1VCOzQTh03XT+pSLkPV8qg5HookdFTDShYJG0NbAmvbtm34vs/TnvY0PvGJT/DKV76SQqGw7PFPfOITGRwcbLeNW5KlVr8ZXUVX4oFjun4y2SSsiXiLGn/WR5r0ocVUbY+y6SGLSVj7mUBbAuv666/n1a9+Nfv27Wvp+Je85CW85CUvaedSWxIvCJmqOURRRFqTyRsqOUNFlvwF9u5S3UEUhSQBNKEtmv0mEVbLYygSmiJhKNJGNyWhA7QlsP7kT/6kw804s/CCEM8PsNw48AKW3khOUyT8YL0CQhOWYyv7grZim9cb108i+c4U2hJYt99++4rvC4KAruvs3LmTbdu2tdWwrYwiiQiCgDQvu/7USVGRRNLa3O2fqtnJ7qgbxFbcM2krC9nT0cnv5gURGV3GSxaGZwRtzY7PfvazEYTWbMLnnnsu73//+3nlK1/ZzqW2JIokkjMUHH9uAjRdfzbUvemzapoBm6G3zSKdCevLVoz4agrZ5pY1Z5Lg6uQCImfIVB2fnJGMqzOBtp7iN77xDd7znvfgOA6//du/zTnnnAPAgQMH+Id/+AcMw+C9730vR48e5VOf+hSvetWrkCSJq6++uqON38ycOgnGiYYBTTnf3B+rqVU1J575E1DC+rAV73ezfwWceWkRnVxAeEGEJouJhnWG0Fbi8Dvf+U5+9KMf8b3vfW9R1Xbbtnn2s5/Ns571LD7ykY9g2zaXXXYZhmHw05/+tGMN7yZrTRyGWGsynYCUJtGf0TlRrDFd8+jLKOzszTBVs3G8kDCKGM4bs7lajh+iyUkQRkJrnMmmwU7w0EiJsumRTylcuL2w0c05I1lrH1zNfNtWD//c5z7Hq171qiW3GNF1nd/4jd/g5ptvnv3/2muv5aGHHmrnUlsWyw2oOfEeWABuAEEYMF51ZzUr1w+IGmadJknwbcJqSMp6rUxKERGE+HdCd1jP4t1tPcV6vb5igdvR0VFqtdrs/4VCAUl6/ISVNh+cKosYavy9+zIqNLY5KFseKVWmN6PNvg/NytJJ4EVCQqeQJImcoT6u5p/1Zj2LH7R1hec85zn89V//NV/96lcXvfeVr3yFv/mbv+E5z3nO7Gv33HMPZ511VtuN3Gp4QUhGVyiklFnTXt5Q2V4wUCUJoVHbeL6ASoppJiR0HoEI1w9mx1xC51lPLb+tpfzHP/5xrrrqKn75l3+ZHTt2zCYQHzx4kJMnT7Jnzx7+7u/+Doh9WseOHeO3fuu3OtfqTU4zeMILogXOY1kSUSUByw0oW+5swIUXhI2CuRGKJMzWIUxISFgbXhA1zFWJwDoTaEtg7d69m/vvv5+///u/57/+6784evQoABdccAHveMc7eNOb3jRbmV3Xdb7+9a93rsVbgKawEQVhQai6IonIjQioOJnRn42IkkQRUfBRZSkRVgkJHSTxC8ecCQE6qxZYtm1z4403cskll/DOd76Td77znd1o15anGao+fwsRy/WxvQBDlVDlWFCZjo8fRuQMhb6MvmU7UsL6cyZMQN1GV2VSfoie+IW3ZIL8qay61bqu8573vIf9+/d3vDG1Wo33ve99vOAFL6C3txdBELjpppta+uxNN92EIAhL/oyNjXW8rafjVLtuXFk7mg3EaCYPVyyPsuVt6U6UsDGsZ3TWViWlSvRkNFJqEnRxJuwM0day46KLLuLIkSMdbgpMTU1xww03sHv3bp785Cfz3e9+d9XnuOGGG9i7d++C11aqJN8Nmj4pSYw7xlwpJomq5WG5wWwoe83xcXwf1w+SIrgJq2IrVuhYb+bvTfd450zQxNsSWB/84Ad51atexVVXXcUv/uIvdqwx27ZtY3R0lOHhYX72s5/x1Kc+ddXneOELX8hll13WsTa1g+n6WI6PF8JwPt6DR5FE+jM6fhBiexEVy0WWRPozGo9NuOgKTNfcRGAltMyZMAElJKyGtqMEe3t7ef7zn8/evXvZu3cvhmEsOEYQBL785S+v6ryapjE8PNxOkxZQrVZJpVIbmnvhNqKSmuaaZti65QYEEciSEqvoosD2vI4TRCRWi4THO532yzX3nUuqx5wZtCWw7rvvPgRBYPfu3QRBwGOPPbbomFaL43aaq666ilqthqqqPP/5z+ejH/0o55577rq2IaXKqLKH44cLBJbjh+iKhCLP7WPUk9ZQJAFRFBs1zxJHesLjl24EBiRRgmcObQmsbviv1koqleJ1r3sdV111FblcjjvvvJOPfexj/PzP/zx33XUXu3btWvazjuPgOM7s/5VKZU1tiYWNQN2J8OcJrLrtoavybMCF6fpULA9DlWYDNM6ESJ6EhHbptF8u8WGdWZwxsZ7XXHMN11xzzez/L3vZy3j+85/PM5/5TD74wQ/y93//98t+9sMf/jDvf//7O9qeCAFdiatEx5XZA1RZwm9oUM3q7c3XYM4cAqAlYbgJj0M6bVlILBVnFm0/ySAI+MIXvsCb3vQmfuVXfoX7778fgHK5zG233bZircH14ulPfzpXXHEF3/72t1c87rrrrqNcLs/+HD9+fM3XTqkSkiggSyJhBIokEEYRsigwXXNw/BCBCNPxMN3YXGi6PpJ4Zu1tlJCQkNAp2lrGl0olXvCCF3DHHXeQyWSo1+u87W1vAyCTyfC7v/u7vOY1r+FDH/pQRxvbDrt27TptzpimaWia1vFra4qEKEAQhtQsl7IdYCgSGV2mVI9NkO48P1fOkLG9ZBPH9SbxGyYktM96jp+2zv4Hf/AHPPjgg/zXf/0Xhw4dYv6WWs2NGjdLOaZDhw4xMDCw7tc13YCZmoMXRCiSSMkK8IIAPwgRBQgjAdPxmarajFdsTNfDCyJ0JRFW602SgJuQ0D6bfnuRL33pS7ztbW/jl37pl5aMBjzvvPO6GpgxOjrKI488gud5s69NTk4uOu7rX/86d955Jy94wQu61pblcNyGqc/1UCSRgiERhLFpMBZicSSlJIkIQkTV9rFdnyBMHMTrzVauAGC6frxZ6Lw91RK6Q7KjwtKs5/hpazlfLpcXVZOYj+d5+H57A+jjH/84pVKJkZERIN6u5MSJEwC87W1vI5/Pc91113HzzTdz+PDh2W1Lfv7nf56nPOUpXHbZZeTzee666y7+8R//kV27dnH99de31Za1ECICHiFxvlVPRkcUJWZqNhXLpzejMpjXyeoyRVNGFgTChqK6FSfOrcxWNgWark8QsqBuZUJ3aGoSpuvP9pmt2m+2Km318H379nHXXXct+/43v/lNLrzwwrYa9Jd/+Zez1d8BbrvtNm677TYArr32WvL5/JKfe+UrX8nXvvY1vvnNb2KaJtu2beO3f/u3ed/73sfQ0FBbbVkLqgSiIBIG8QrYcgNqlsvRGZO8oZINlNnwdkGA6bq3oTv2JH6crcmpRZYTukcz5D6AMyL1pFNjfj1Tcdrq5b/1W7/Fe97zHp797Gfz3Oc+F4jNW47jcMMNN/CNb3yDG2+8sa0GtWJKvOmmmxYVxf3ABz7ABz7wgbau2Q0iBDRFpO6FZENi35Uk0ZOSCcKIlDpXFLds+rhegCqCFyiULXf2wa+XAEnyv7YmzT3VErpPcyzGaSpbf5HQqTG/njUt27rjb3/723nwwQf59V//9dnCsq961auYnp7G933e9KY38Zu/+ZudbOeWwgtCbNen5vgUdIkoCjFUCUMFUUijKSJZQ6VsuZRNl4lyHR8JSYrNgs3IQV2R160jJIVUExJa50wIjtqKY76tuy4IAp/+9Kd57Wtfy6233sqBAwcIw5B9+/ZxzTXX8MxnPrPT7dxSNFcuURjhBrG2JYkCogBDeR2r4bidqTlUnQBPEEirEkIYEoYhcmNrElg/f1ZiCtwY1mqWSUy5KzNfG+qURrQVJ/qlmN9n1tKPpms2JdOjkFIYzqe60dRZ1vQEn/70p/P0pz+9U205Y1AkkZQm44URoihgOx6TVQdDVygYCpoi4fkhlhcQBAG+H+CJElpKI6OriAJb3tyQ0BprNcskptyV6UZQylZdHKwklNbSjyw3IIzi390mmRW7gCKJ9GXiorYAFcvHj6BiucwvyK7LImNlG0OVSWsiQhRRtT3yhrIxDU9Yd9a6Wj9TVvvdIglKmWMlobSWftSb0ahYHrl1mLfa6uVRFPGpT32Kyy+/nP7+fiRJWvQjy0kH0RS5Yd4TkYhwvABRFNAVKX64gkh/WiUERFFCFEUsx5/dgTjhzOfUnanX+/NnOilVpj+jd0RgbfU8rJXypdbSj/KGyq7e9Lps39LWU3z3u9/Nxz72MS655BKuvfZaenp6Ot2uM4Ka7SGLApYbEAkCWV3G83wmKxGyJCISEokiO/Ip8oaC7cWqtecHlC13Nuw9IWErs5F+tk76sLa6+bVb978bfsLlaOvsN998M694xSv493//906354zBC8JYWHkhqiKjiC6hICLKMo4XMFaxyOtKvB+WHPu8FFmkann4IUhiYupJODM4MlnlRMlmZ0Hn3OGl8yi7RSd9WIn5dWnWM3m9rTtvWRa/+Iu/2Om2nDF4Qchk2eRkyUYkpJBS6M3opGSJwA+wGuWagihCVyWMxlbDFctHkSVSaryZ4+NpYGx1c0vC8oyULaq2y0jZWvdrp1QZSexMEFNifl0aRRJx/WBd7ktbV3juc5/LT3/600635YzBC0LGKw4nijVmzNi015vRkCURQ5MZyOrs6cuwvWAQhiEjMyaPjVWYLNcZr9gb3fwNwWzkra1nTbxESK4PmhAxVXXQhNPXcun0M+mkDytheXRFOv1BHaAtgfWJT3yCH//4x3zoQx9ienq60206IyjbHnYjdN0LQizXx/F83CDCUCWCMMQNoO6EjFdsDk3WGCnbqBJ4QfS4rB6+3luZJ1Xa14dJ08O0fSZN77THJs9ka7JeZeXaEljnn38+hw4d4o/+6I8YHBwknU6Ty+UW/CxX8+/xwvZ8iqGsxkBGx3R9xss2M7aHLIAbgO2FFKsWY2WT6brLaMnC9XxcP0IgDm8/kzjdyjmlyqS19S0ztJWrtG8lijWXibpNseae9tjkmWw9vCCkVHfXZZHR1uzwile8YsltRRJiFEmkP6uiKBJZQ2GkWGf/RBUxjAjCEE0SAYEgDOlJqRyYqAICtYb2JYoSsri+97fbkVyni7DaiAiyrZoAutXI6BIZTSWjn95slDyTrcdI0WSybmO7Ov0ZvavXaktgnVp4NmEhiiQiSRIpFUw3pO6GqKLAjOUhWwICAoNZg5yhUDRddFVCEkWGMhoZTUYUIlRZWteB2+2Q3STC6vHLYFan7sa/E848HN/HdsHRuu9/TjyRXUIgwrR9VFmgYEhMVOPqF5YbkNYlJBFsP6BkemQ1lWxBoqAp1Gyfnoy27tFI3RYoW3HlvFXq9G32dsqSgC6JyFJilTkTGS6kUWWH3ozW9Wu13buPHTvGm9/8Zs4//3x6enq4/fbbAZiamuJ3f/d3ufvuuzvWyK2KF4aEUUSEQE9KRZZAVQR0RaQnpVJ3A2qOh+O49KY06n7AdN2hYq6PPXg+ScjuYrZKAMB6t3O1uxxbfojtB1j++t/HZEfm7jOcNzh3OMdw3uj6tdrSsB566CGe8YxnEIYhV1xxBY899tjsDsP9/f384Ac/oF6v85nPfKajjd0qmK7PsakaJdunYCjkDQ1ZjP1WthuiiUFc/SIMEYU4H+uR0TJhFJLXNdKqNBugkAiR7rOchrJVzJjr3c6y5eF4AV4QtRQkM1I0efBEGVFY/0CsZEfm7mO6/mwtwW6XZ2q7NFOhUODHP/4xgiAwODi44P0Xv/jF/Nu//VtHGrgVKVseNSfAD+PJsG67hIAhi5iKSNHyydseiCJZQ+bkjIksxiaTnowKCExXHWRJpD9L251gs5uKNgvL+e+2yn1b73YKRNheiK60ds0j0yaTNZcj02aXW7Y0ZdOlN9P9OnePV4o1B9ML8YOw6wKrrV5+++2385a3vIWBgYElowV3797NyZMn19y4rYoiCfSnVTRZQBJF7CDE9T2Kts9o0WKmajNWshAESGsyhbQaRwzqEmlNIQpDjkxXmazaazLzlC2XyapD2Tp9OPHjmSSUenUYqkxfRsVoUWOJvJC65xN5nTMJribBOJ9KhFU30VUZWYh/d5u2rhCGIanU8ht1TU5Oomndd8BtVlKqjKHJ5MMIIYqwwzhasGq5VG0fWRIIBQHHj8jpMj2GQlaT0SSJnpTCVC1EV2X8cG3peJNli/Gqw1BW63q46VZmq2hSmwUvCJmpt661GLpCTpUx9M5tP9FqVGuyvUj36c9o5A1l85ZmuvTSS/na17625Hu+7/OFL3yBK6+8ck0N2+qEkYAbBPgInD2QYTCtokgyKUWgL62SUgQcx+dkyUKWBHKGgk/I4ak6qhAhCyI9qbV1gscma9x1bIbHJmsd/GYJj3cqlo8fhlSs1gIZaqbHdN2l1kKli1ZpVStOSjN1n/UscdbWbHjdddfxjW98g7e85S088MADAIyPj/Ptb3+b5z3veTz88MP8wR/8QUcbupVQJBHX8zhRspmuWczUXbwIetMyAwWDrKFiBxF1N6RuedTtMDathhBGMFJ10GQRQRDWNNAmKjYzdYeJx2l9woTuoErg+hFqi+Xj7DDAUCTssHM70rYa1ZrUi+w+8wNbuk1bs+ELX/hCbrrpJt7+9rdz4403AnDttdcSRRG5XI7PfvazPPOZz+xoQ7cSiiQSCQJCCFU73kpEiCLKps94yUZXRPIpBV2X8QKBmbqD5ftkNYmMLlMzfcq2hzsvaKIddFkgDCJ0Ocl/SegcXhBhez5e0Nr0kVJlqm6wIVrOVt/DaiugSCKWuz47Drfdg1796lfz8pe/nG9961scOHCAMAzZt28fz3/+88lms51s45bDdH3KdZu64yGLIAgqYxWHsZJNqeLgE5AzejBkCTUtcWK6jijCjB+yu1+GQOZI0WJbzliT/d0P41ywDUh/STiDmak71JwAte6wd+D0Y93zQ3oMBW8DOuJWSU3Y6qxXtfY1LXnS6TQve9nLOtSUMwfT9QkikbSuoCgiQSSAEBGEEdOWiyAGjJcsVEVEFEQGChply6dcd5GPFzE0iYyhEtJansvy7QgQETDd05tiNjoEfqOvn9A6AvFu2n2p1vpmNq3CjBX/PoVuP/ekP3Wf2OwasB7lZZMn2QUUSaRkuRybriOHASlZRJMUUqpERpcQkKnZAVNlj7GyhRAK1M2AyVKdh0dKlOseluMxmFHXJLCyugxC4/dp2OiqDht5/Y30c6z12hvRdi8IIYpavuZAWqUvozKwjMDaCtVEIPGHLUfsT1yf2qdJ6EwXaJohRAEmzYDtvRJZXULqM0jpMhMlm5QiYvk+nh9x1K0hSDJ1L8JQRRwvYqCgUHbCNZkECymVvQM5Ci3koWy06WQjr7+Rfo61Xrv5edP1Z7WJrn8HQUCWJVpdUhdrDmXHo1hzFr230f1uNST+sKVZz2eYCKwuoEgiWU3CD0ERI2qOjyQJKJFE3oCUJFFzPTzLx/JdFFFGjCIGcxqFlEZOlwj8iCgMqFhu2wKrL6VQND36Uqd3hm606WQjr7+Rk+Zar938fADrNpn2phQsN6S3hX4F4EcgCwL+EmmF3X7unTQ5biXhuhbauWe6sj6iJBFYXcALQlKazLaCRlaREAUwbR/HDxkrORwv1uhLy1RqIVXfwfcjzu5XSesG+ZTKnh4dN4iIBIloDfvw6qrEQFpHbzX++AxmpUG40cKyE9dunmM9vkeEgCqLLffNcwcz+GHEuYOZRe81n0uTTj+LTmpFG72o6zTLjYnV3rNEw9rimK5PGIAoiPgI+FFEse4xOmMxNlNFEEVMRwI5wnUiItulZKqkdRlDEam6IZEABSku89QuXgCO7+EF3Q833eycqeacsuViOgEpTVq3aiYzdZexikWrXVOSRcIwQpIX3/fmc6naHrIYC8JO1qOrWC7jFYehnJYkD5/CSjU0VzNO1lOQJ0+wCyiSiEtI3faRNImZmstExaFueSCIFHSVnb1GnKuFiChEVCyfsuVhez47e9PIskRhjeVOgjDA8SOCDiZsblXOJHOO6fqzPquq5cWm5yWEQdcQQJUkWlX+x8oOgigyVl7JhyWwxkpkSzJd9/CCgOm6x/D6F4vf1Cw3JlYrgNYzwrclgbV3794li9yuhCAIHDx4sK1GnQlEQSyEwjAgK6gUDIXpmsWuHoOKG1FxfAazOs994iAzdZeRGZfDE2WmaxGuD/1ZjbQiwlD7bQjCiBCBoBszwRbjTDLnNCsLWK5HWldwvIB8G0mb7U40vSkFcxU+rN29OjXbZXfvYg1w/rWbQriTWKbF/kmT8wdSQCKx5tOpMbGe1ouWBNaznvWsRQLrZz/7GQ8++CAXXngh559/PgD79+/noYce4qKLLuLnfu7nOt/aLULF8jg2XWeqYhFkVPryBhMVl21ZDTcEx3U4UDGZqTr0pFX6UgplK0QSItwgDrRw/YCIkCdsL7RtIgkBLwjYKkG4SS5WazQLuuYMhdFijZMVl31BwFkDuVWdp92JRlMVhnICWosmtm05HdePf6+ErsizoeOd6gMVL0JTJCpesmjrFpvOh3XTTTct+P9LX/oSX/rSl/jWt77Fc5/73AXvfetb3+Kaa67hT//0TzvWyK1G1faouiGO7+OGMsWKg+V4TFUsIiGiYnoIisRY3eJ7D4+TTSnoiortQ06XcQMfTxZwvLWZ8mRRJKvKjc0jNzdeEFK2XCSxO8EDZ4IwnP8d+jM6XhDy06MzjJZtRov1eJsHKfYBddtZ7voBrXoUJkyPkuVhmMsH/3Qr2tGQBCw3wMg9PsqTnSjWOFmy2VHQ2dm7OMhlPp0aE+s5ptq6yh//8R/ztre9bZGwAvilX/ol3vrWt/Le9753zY3bqjiuR830sHwPxwkomy6RIFJ2fepuQCBCn67g+1C2XR4aneHeYxNMmhYhIYaqIIRQSKtrqs/Vk1LJp1V6tsB+QF4QIokiQdidldpWSlBdjvk5V82fsZLN/vEKx2dMbC+i7rSe2NpqAdlTkSWRXEpFbvFzcgRCFCKvoOTMb4vtda6IaiSAJotEjw95xf7xKseLdfaPV0977FYcE23NDAcOHKCvr2/Z9/v6+h7X/ivLDzGdkLLjMW066LJIIaWwq5DG8gMMSUJTZHKaRNn28aOIsh0gyeAGIWEQ4fohiGLbnalsuVheQM5Q6Mls/r3JFElEk1vXDto5/1bfpLH5HYDZAIUoDBEBzwtx/QBV7n7FgbyhkNXllv1mWU3C0GSy2mINa6nqEfNzerwg5ESxxoMjZaZqq991oGx7zFgeZXvtW5ts1koX89sV+j6TFZvQb03od3JxsB601bP37dvHP/3TP1GrLd5nqVqt8o//+I+cffbZa27cViWjKohiRBAKCKKA6UdIQMV2gAgnDNFkkTACVREJA8gbAuWah+m5zNQdHC9gumxRrLW3W/D+kTJ3Hy2xf6SMv8kG2FJ0ezJoV5vYTDS/Q0qVZ4WvLIlEYYQii/Sk1XXbSG81eIAoiiwlMk5d5Z+6sPCCkLGKy0zdZrziLPhcK/3F8SMqpouzVNbyar/HJtVIThZr3Hd8hpPFGq4fYvthvOA9DV4QEnXg+5Qtl+PF+rrsbN5WWPsHPvABrr76ap7whCfwute9jnPOOQeINa+bb76Z8fFxbrnllo42dCsxmNfRJRFNEvF9n5rlMlmuc6RYpWJ66LrCrlyKIIhwPJ9I8Ck7In4QYjoRBV3Ai0JmTJe6vTgUuBVGShbHpmvk0yqmu7kG2FJM1xyqtk9WD0j1npnZFsv5DJrmvaYwWo754ezx/wEpXWW4YNCTUte8Q3WrzN//qJXcJlkUkRu/T6Xpu2qetymU57+viRElL0QTo9l72DQhn87XVaw5TFZt+lrcHXkllvL5bQbf6EjZoljzCKOQih3iuAEVu7Ux3+wxa/kexZqD6YX4QdjRHLqlaOsOv+xlL+PrX/86AwMDfOhDH+INb3gDb3jDG/jwhz/M4OAgX/3qV9uq4l6r1Xjf+97HC17wAnp7exEEYVHAx0qUSiXe+MY3MjAwQDqd5qqrruKuu+5adTvWihdEuCEUq3ajskWVw8Ua5bpNcSZgZNpmrGajyCJpTSPwRAI/wLZcnCDezFEWREBElNqcvIWokbwsYGyRShfiGe5nWG6F/uODE9xyx3F+fHBixc83BUXF8nD8uABtX0ZBl2XShgxRtEDrOFUL6ZQWm1JlJJGWE3GFMMQOAoRw+esWazbHp01OFmtM1exZ4Vy2XLwwQhJEvCCavYdASybemunj+AE1c6Hpq517sZSWvhm0LkUQYmEvCCBAzXFbypFLqTIZLV4kreV76KqMLMS/u03bV3je857H8573PMbGxjh69CgAe/bsYXh4uO3GTE1NccMNN7B7926e/OQn893vfrflz4ZhyItf/GLuvfde3vWud9Hf388nPvEJnv3sZ3PnnXdy7rnntt2u1VKzXKZrNmXTRQT8SCdrSLg+mBFIDhybrLN30KDmeHiRj+f5OAEEAdRcD00RcYMAKWovUlASRWRZIAwjgmBt0YatagBroS+jYajSGVONYKkVqxeEVKzFG93dcbjIsaJJ2XZ4zgXblz1nM5zdUCVs1ydCwAsigggqtkfR9NheMGav6wUhjh9SsVyMxn1tRSvpND6QVjWW8paYro/rh0zXPWRJoGaGGJqK6fpMli1OlGyOTlQRZZEoMjhnOI8XhGgtmnf3DKQIovj3fDpVIWQzJKRLkkhGk5EkEVUSGMylUFdZIWf+91jteO/PaOtmil7z7DA8PLwmITWfbdu2MTo6yvDwMD/72c946lOf2vJnb731Vn74wx9yyy23cPXVVwNwzTXXcN555/G+972Pz3/+8x1pYyt4YURKEePNG0WJ3oyAJClkNJFKNSQUQZYijkzX8b0QSRQQRRlZ8JipO2TVFKIskVVl6m36RCeKdfaPl9nTk6Jsr11grcYE1A5ngo9pPkvlOFUsj6odP9D5ppMHjhd5aLRKZdvKmyE2J5DmJO8HESMlk0MTZSxHJ/R9bC9Ak+dSA8qWR8X0qDkBhZSyKpPPSibM1fSHgYyG49sMLBH80xTiYhQCMkNZFc/3cRE4MlXjZMXh4GSNXEqjL736vvdzZ/UxXEizo7BQKFluQN3129rDqamdweYI4jFUiUJKx1Aldvem8CPY3Zta8TNeEDJeNnF8yKdk+jP67HeZrtnYXoTt+tB4faXvuenD2gGOHTvGm9/8Zs4//3x6e3u5/fbbgVhL+t3f/V3uvvvuVZ9T07S2hd+tt97K0NAQL3/5y2dfGxgY4JprruHLX/4yjtOeL6gdhCjCDQOCACwzYGzaoWo7BEKIJoMCmH6IaXuUa0E8KchRnOAbRYSEeKFPyXYR2yyr9NhUnarjM15xybWwH9ZKrNYENJ9mflXZclc0N2wG00onWSoqsWa5jJdtaqc4p4+MV6nb8e+VmG/GqtseMzWbg2MVTs7UOThR47HJGmVz7j6brs9MzcHyAoIgxHKDVd3f5Z7JavtDIaOzdyBDoaHJzP8eVcvjWNFkompRsTwiBEw35MhUjaLlo4px5GhGlxFFKe5LpstUzZk9T9OEuBy6vNgkrkgCAu3V6jRdn7LpUXd8Thbr3HFokh89NsGJYo2xsslUzT5tX+9kgNFAzqA/qzKQM9jWk+L84TzbelYWWKbrM11zma7bWKds8Gq5AYenqxwrmi2lSaxn9GRbM9lDDz3EM57xDMIw5IorruCxxx7Db4RR9vf384Mf/IB6vc5nPvOZjjZ2Je6++24uvfRSxFMcu5dffjk33ngjjz76KE960pPWpS3TNZuj0zWm6hAAnhBSdSx8D2o+qBJEro8ggazGIckhIaYNkRQyUirjeSL9hRzjbYTyAoREmKaLpSo47tpCer3GZNfOKqo5uGVJOO1KzPa6p8G1SlOraP4NdEzzM70Q2/UwvYXfUVLiqiTSaaLETTeu+F+3PUZKdQ5NmozX69QsHzGKODRZY7iQZlvDLPjoaInDUzZB6HP+tjwCUHd8+rPabOLxSo725cxdqzUN+0GI7YZo8tx9bQrCYt3FdD0eGamS0y1mTBvb8Xlsoo7tBfRnNNKqyETZRhYiRvrS5FMaAmFjERQhNnw4S7XpnqNFDkzWOHcgM5tI6wUhMzWHadOb1UZXQyxoXfwIxisWD50oo0pQcwKG8waiEGFlglnTrxeEC+5Zp0sZpVQZvSeOHL3vWJFHx2qcN5w5beKw7wdUbJ9eQ24I2Yi8oWC7PuW6h0jEQEZbtJ/eqf1m05VmOpV3v/vdFAoFfvzjHyMIAoODgwvef/GLX8y//du/daSBrTI6Osozn/nMRa9v27YNgJGRkWUFluM4CzSwSqWypraM12LTntn4X3Qgq4Prg01cRT3twVBepVL1MJ2IWg1MIGf7VKvghSFlt8REZXCFKy1PTleRJDD9gEfGajxhR2/b3+fgWIXRis22nM6le/tX9dmZms2Jkk1ej7dZKVve7Kp2uUHcaU43Mc9/v+n3KdUdJssmFTdi30Canb3pVUVRLWkSNB1GSha6MufT8oKQ3b1pvNBa5GdZ6pwzNZsTZYuHjlUYK5v4fogmxcVovSCiZtl4QYay5XJkxuSeY0XSqkRGVcinZHRNRZPjShlly6XuBKS7XOndCyJCotmgifn3O/R9TMdnqmIxUgoZK9ao2AEjFRMnCOnPaBTrDm4YcbSo0J9VeeKOXiJBwFDlBX1pKabrLnUrYLRsL3jG41WbmbqLKrLqZ2u5ASeLdZAkjk3WODJZRRTi+p/jooAhi9RtlykzwPcD9g5kGMjqkJlbBCzly2yX+QuLx8ZrjFUsRAGec+HKn5uo25RNnygM2BbECdaKJCBJEnXHw/FC7Ebk5vwIVdMNiKKItCbP5k2ulx+vLYF1++2388d//McMDAwwPT296P3du3dz8uTJNTduNViWhaYttpHruj77/nJ8+MMf5v3vf3/H2iISUp1n3VEFwGdWgAXAjA2ZmkvNAscFh3iV7ftgh/ExasBc3Okq8IKQQkpF1yREBGrO8hrW/I44/2c+03Wb6apDO8GGhyeqPDxaRQTO2ZajL6MRRo0IpVNC2IMgxAwjUmpnO/9UzaFiuuRSKtvyBrBQSMVmJg9VFskZSmPyNLn7WAlBECjXbUwvpCelUEi1X/ZotGpzfMoiIOKKhgkrjGAgZTCdihjOrCywapbLYxM1Ko7HRMVhxnJwHQ83AC/wKdVtZkyPYs2lkFY5MWkyXXeYrIX0pHVMX+W84bkKFV4QEUWxIFmKx8bLHC1a7Ok1uGB7DxAHKxRrDroq05/RWroXhioRRfHv6ZrNVNVFFGFbIYUkS6R0hfGKST2AQ5bFdN3F8kAIYXS6TtGMg956swL7x/JoiozthRyQBS7Z1bNiDcXteY2xikNPKvb9NX2Hnh/gBCEIwpKLi/n9A5g1OaZUmarl8di0ych0jZJlc3iqhqZo9E+ZPFFRCMOIsZLJIyfKVF2XJ2zL8wvnDiCJIqosULF8gjBslNE67e1riWZ7e9IyU3WJ/oyy4kKtarmcKNqcKNY4ayBDb0rD8SV60iquG5uuiSIOTdXoz6cYnakzUXHoSyvs6Mvgz+szTZPgevig2xJYYRiSSi0/uCYnJ5cUHt3EMIwl/VS2bc++vxzXXXcd73znO2f/r1Qq7Nq1q+22jJcX+ijKEZwaImUDx0ugCbFwalIL4sEZETsYzVXUE2wKH4AnbMtycKoHMRIorFBVu2K52F6E5zsU0tqS+xGlNQVN8Ulrq18RHpis86PDUyCEHCua7BvMkErJOF7Evn6Dvsak1wyt7UYU25HJMkeLNjsKcTRTc4UriwKKLDJTcxiv2ghEFNIGtuPx44NFvrv/KAIql+3pZWdfCkUU4pXyMpw6QSwW/B4nqiaaIc0OcNvzKTsONduhbC6fw+IFIYem6pyYsSiZLqbjMFoxOVoECyhaIX0Fk6F8inMHHMbKde4+NsWJ6RqqLJKSZAayOpIo0tNY2ecNBVMSltVO7jhc4tBkhfGB3KzAGi/bTNVsUqrccmSYIokIQmxSPjZV48GTZaIILtrpc7xY50cHizxyokzNjyck14dmSQLBnVuzCfWIiXKdRyQB0/XYVkhzMmfPCqylJujhfIoLfYGcvnC11ZvWCUKBrCbPahB24/Pzw7zjMRUwUqxh+RFn9aUQhIiTk3WmLJcjkxVOTAUoikdOF9meT1G1XcZmLB6dLCMikEtpFOsuOcNtWBlcghCya/QtNylbLieLJhGwLW+Q0XV29OgrCuLJis39x4ucLJu4fkjWUOlN6UzINnedqHBookLRcnGCgLyhcWS6ykjRYXuvzt6hHGltLl9uPYKymrR19ksvvZSvfe1r/K//9b8Wvef7Pl/4whe48sor19y41dCMMDyV5mvbty8fLqxpWkcF7GTVRpZYKImWwAbsCHQWRr80B2jJgaNTi6uJLMd0zaFm++iKyI6CwXlDBcLAY3CFSbZqeYyUrLjUTnrpezCQ1REEkf4Vki/n+35gLnLoP+8/wt0nYw3vgqHYtCOLAmEUUrM8nrC9d1ZI5g21K6aFkxWHkaKFG4bsG3SZrDqEQYjlB+zsSXGiWOXQlM3xqTpF08QOQk5MVjkyFRHioMklzt+WY1tPQM6QGc4vvVhrmhObK/lTv4fvBQhRRBgEsxF8URQxWbaoOwHjleWtAKbr89h4jR8fmkBVBI6Nlzg4FdFcGjlAue5juQEnyjajZYsHjlQphgABY6UpCqlYWxajkJ6GCXClUljHxkvsn6gSeT5esCcWPET4YdRymSvT9Tk6VcPxA6qWwrFinQMTVVKqxFDe4KeHitx/YoKRZVy183W/egiTNYeBbIqpqk3Z9tjXb8xaCJaaoMeqNo+OljlrMD37miKJKLKIocfFgk3X565Dk5youpzdm+KiXbFwrlhxvzUdn/tOlLHcENfz6EmpWJ7PZNVkcjqgDuDBieka9x2ZxAlCRso1RsdcAgkMXebBE2UkSaQ3paLJCkEUNNIS1t7fq5bH8WKdMAQvjM8bBMqs9aCpQTf/l0SRSdNhpGQyWTHxvJCqaRMKMlec3UfN8TlWMvH8gKMzdfpGyxydqlNyfHRVjP3ZxlzCtyKJWG7nTJwr0ZbAuu6663jJS17CW97yFn7t134NgPHxcb797W/zoQ99iIcffpiPf/zjHW3o6bjkkkv4/ve/TxiGCwIvfvKTn5BKpTjvvPPWrS2KIrGa4L4IWKqoSQAcmFhscl0KLwgp1W1KVshwTsUNY5u0HYkrFin95v0j3H2yzBOHsrz6GZklB0/WUAgigayxdHfxgpCpmkMURQiCQFZXZgdiU1gBHB536U3XqJgOqqwRBBEHJ6r0pdUFvqz5FQ/WOpinajZHRmucLNVRxIjxis14uc6JokNak/CDgAMTFt8/cIL7DppYxM9jvhF1/4jFvceLmE6ArohLCqymwK7ZHpIoLDA/Nd+v235cdaQxC3t+gOWGGJqC4URkjKXDvr0g5PB4mdsfGed4sYwsihwsLTbj1SybsYqJeELg4bHphrCKKQVQqkJ6vMZgLsVlZ58+EMb2Akw7xPaC2ed515FpfnJomivO7uOcoRxly10xCKNseRyYqHJ02uS8gRQHx2ocmq6giiK9hsqDo1McGm89d+OR4zVqjovnhmzry3Jo2uHcqj3rTzlVABwaq3K0WKNmu1y6p4+dvbHgEqII0/aoKSKWF/DgaI1i1ca0PXb3x8EKNcenZjqUbY+RGYsgDBkxZI5PWzw2XWSm6lOc9xhKlZD7KaIrIscnfEoAPpyYrNNvSBQtj0t35blge4GKFRfFTqlSR6pDBMS5eIcnKlQsn7pd4OyhPCNFEzuIKKkiGUNFFgWQ4zadKJqUTahVbEZmbHqzOoNpDVkWKdctLBMULIazJpM1i8mai0TIYxMVetM6u/vSs9fXlPUpTtCWwHrhC1/ITTfdxNvf/nZuvPFGAK699lqiKCKXy/HZz352yQCITjE6Okq5XGbfvn0oSizVr776am699VZuu+222TysqakpbrnlFl760peuq4nStrx41dUiKwXcHxltbTB7QchExebItAVRmsm6y33Hp9nem14xA/3bD5/keMlholTlt59z/jLnjrA9Hy9YulN6QUgURdQsDwQBRRKWHIQ28NDRGmYAER410+TCHQV29qZwXI9DMxZBEDKQ1dmWT9Gf5bSDuWy5sw7svBEnnFYsFz8IiRB44MQMPz02yVjJYtqyURWF8RmTKdMir6v4fp5HTpb4WUNYLYUJfPvuSR7dVsfQFX7+nMXHTNUcJkrx5LBtCceEF4SMlOqMlOpkVYGZms103UNVJJ60e5D0VIWLdvTMHtuceMfKFsWaw/88NMlDR8uNCXLpwJSRakRPsU7V8jkwtrRmPla1ma5YWK6PIAikNXm2BtypCwQ7CHEDHyeMZl//j3uPc3LGZqRq8qwLhrG9CL9hRlsKgYhjUxbjJZO66XJwqsqh0SqqJNBvqJyccpe970sxE8LMWNzew8UZ6o6DQMRZfTqXnzO0QMtPqTKKqlD3AkTL59h0jayhkFJlJusOFTdAt1wmaw73HZ/Cj2BnjzGbdjBWcSjWbCaqDseLNXwidhR0fnRkkvtGFo/LqQCsmZCUEcbCqsGJWog2WmVnn0BKljBUBdMN8PyIbYWlXRWPnCxyYLLOuQPp0wZMZRt+1/uOz/DYRAlJMZARuOysOv/zyAQ1x2NXweDJu3sIIuhNqzxwosSEGfckC8AB27EZ67Nwo5AT5VgI+kWLnqxCsV6nZscm9JNFk5wmU6o7ZA2FybLFRNVhe8Hoemmmtg2Or371q3n5y1/Ot771LQ4cOEAYhuzbt4/nP//5ZLMrJ0CuxMc//nFKpRIjIyMAfOUrX+HEiRMAvO1tbyOfz3Pddddx8803c/jwYc466ywgFlhXXnklr3/963nooYdmK10EQdDRgIpWmDTtFYXQalhiIb0kXhDyW/98z6wJ5f+7sJ+K71A66XPVOct3+JmaQ9WEkuguG1Y+U3eYqcf291296UXve0HIyakqD4zXSasiF20vLBt1NjNP89xfDPn2IyNcfvYgf/vNQzw4CWngivMLXLazl6suHCa/Y+UBcHSqxmTVZSCrcvGuXsbLFoenahyaqlGtBzw2VuTOo3V8YLpSJQhCTkzWcVxIGxKOF3DP0YnTTppFoD5q8tPHJrj2aYsLO3/n/hN89+AUu7I6L/653fRnFy+QSpZLGIZMmi7jFQfX9zE9CV0RSKvyrMm1bLlUTA9FFrn5+4e461iRmllbsJpfCg84Om7hD7iMLGNJnrbgvpNT3H18EF0SqNtpFFlClkS2zZtwTNenYjq4XoA5r1LK4SM1xiNwSjUiBAQhRJaWX13LkogohBwp1lAkOHC8xrgHEGE+MsnEGgaKA9xxzCRvTDFSSqGqCqokEkUwkNPxgoiLt2e4/2iRiuXx6GiVi3f3Ybo+vhdQMV0mihZfufcwZTMkp8B9uowsi41cpDpCFGvpD5+cIaPJPKTI3HuovGyb6kD9lM4UAgdmAtygjCTHgTZhGHD+jhxekF/SLPjFO0d4bLLCOQM5/vA0AitvqBycqDNSspks+RSyHnbg8chYmXuOTVKs+djbC5wznCWK4LDlsH+8uGjZUwNu31/EZc6bUfRhsmzjBAHVOqiig+eHBFGjaoofctfxGaaqLlXT4dzh7u7qvCYPWTqdbqtm4Er85V/+5WypJ4DbbruN2267DYi1uHx+6RsiSRJf//rXede73sXf/u3fYlkWT33qU7nppptmd0ReLw6Pz6zr9QAs119g7/+/D00xmIYLBvOcKDs8eZmIIV2NgzwUBYpVh/HIYWfPwpWS7fqUTZe0OhcxNb90y3TN5d6TFe4+WkRVIApCzhrItOSA/dHhGj86PDe71oEf7S8hRiJ7hzJcsITWMb/9P3xsiruOFbl0dy8X7+rl7iPT/Pvdh/jxocUiqBbBfYfrzAZwugHVRyZanjQd4IHji020XhBy/Vcfnf1/sCdFShboz6dm75EXhOR0maNRhCxEjJdtJus2rgeHJqooojhbjdxyA8q2R0qR+IcfHWutcQ1mfBAnVrZHP1qM+NBtD3LlE/q4aEc+9mcFAVeeMzD73I9OVqm6ISECcjhn4iw3OlmRuF/0ZrQVn3OpZvPIWJmDJ2t4IZTnzZJrEVbz+cH+ItvzRcp1j5rv8qRtBZ6ws4dzB9Ls7M+iyOARcnSqRs2OtXGfuF7n3/zPo7PxUOMWRMdnkCKRIzN1PC8EKcTxfE7WQa/7GFqNyTaLkh+thNjODJW6RcbQKGQ0jk5U8BHZ05daYGr+9v1HOVKFI2Mz/OH/d9GK51UkkZppcXSiRtUBWbGZsXSOFm0OjFZwIxhISxiKjOMHHBo3OT65dB8xl3ht/1RcYi4ERNNjtGyjyRVkUaCQ1qnUPKZrDv3pTerDOvvssxkaGlpWGHz5y1/mf//v/82hQ4dWfe4jR46c9pibbrppyaK4PT09/MM//AP/8A//sOrrdpKD6y+v+Ov/fGjRaxN16K955I2FxS3nT/iGoaHIDq4PX7zrBAVD4ufO6uPyswdmj/HDECcI8RvFS8fLFiXLpWCo7B3IcufRKb5yz2FGpj160go9usaTpmqcO7S6LdubWMD9x4rs6UvzlD19DOdTjJdNpmou/Rl1QULkfz88wqGJOiMzdX79yrP4ky8+yEpZdKfWkljtpHlwiZO/8R+/v+D/nzw2RVqRefoTVLwgIqXKHB4rMVIysa2Q447JV+49Rsn0SGky5VoNRUlRSKkcnqxSs1ym6g5amztFT7fgP60A33xkGiGK2NmTRlUlRssmg/k46fiPvnQnPzvuoAJP3iEwXYt9VVkdbBsyMoRRdNrcpWNFk0dOFJnq4rZLFnCwDAfvHwfgvx+e4e9+o0DZDtBVmYyqYnk2phdwcKLG+dtyZFWJiiYuqm/42EyA60wQROCJUJDhZDl2O1rAI6OrMWAuZtyB8eM2YDNR9ijVHc7fXsB2fYbzqdmF2XQ9vmaxRd/C/vGZ2b6sujBRqXD7o3VONj5/ZLLK/SdK5FMyUxWbyirSZQLmNK4JGx4anaFq2oxVHM4dylCyPEwnDiDqNm0JrCNHjnDy5Ekuv/xybr755kVaVq1WW6AlPd5YW+W+9vjCPeNLvl6tm9x3okIhpXL2UB7tlNVwj66jSA5mHb77wAnOGi5w9mBugUYThBFhFBE0ymTbro/phOhSPNz/54ERHhz18IFJ14PHptneaxC1UjJ6GcZt+MyPjtOX1vhfv3g+ExWH6bpLGEYMNQa2IolU6zamCxXTZrxsryisOsVUzV4Quv6dgwvtb//vYIldBYOLdvfSn4lNfK/61E8XrF5H9peAeACmgLO3hxydqvKjQ9MEfojjBQwXupfM2+ThY0VOlipk02n29hkM5SwsL+Bnx+PZzwXqfshkxaQvo7KtoGCOewzlBURBoNyIpFtOy/r+wxMcXo+HMo8A+MKPD/HLF2/jZwcDvnPwBCen4X4qHC3WeflTd3N2b4ofPLL0mDnWeFAyMM3C8bw2cbWQB8ZNHhg3+eWLXZ40nOPnzx2cXVies83gwLjFedtWzs2DeBG6f57iX3ZBKYdMzdtW6GAF/uPO41y8o4ATrG318INDVfrkKmcNpTgyXaNq2/i+xGh+k+6HBfCxj32Mb3zjG7ziFa/g+uuv50//9E872a6EDnHchDsOTcW7+aYNlLw4G95asTxEIST0oBTC9IzP/pkprr18F1M1B9cPSGsykiAgCCA1KoUena5xz/Eyl+zKc8GOHo5MVResVB+dtvnmA+Ps7mvfl9nkz7/9GL991blAxNiMyWTFoly3CASZPb0G5w72UKxOkdEMpiurCXVpn4dHyuQMdUGU1Hwc4H8eGuXSff1EgYEXREuaWiBOz6sA46U6x0w4OvMIPWmVc/qzjJS7b2I5ZgGWj0CZ7TkdRZbQlIUa0w/3z/DknVOosoiuqhiGR87QiRBWLIsE8Pmfrm8BgSa3HywzkNH44r0Lt2y580SdvDrKOc85h68+tHIE7nrtxfvl+ya5/YFJnvOkneQakbiveMouTlQc9vW1JrBOZWoJ2XHPaJ2Zap2e3NpzpaZ9mD5pcufJuZ5tBw5wmvIaa6Ttlvf09PCVr3yFG264gRtuuIG77rqLz3/+88v6mBI2jv93pMKx0QoPnijx/Iu385JLdsXaiO1xZLJK6ZT+ft9olWk7IK1K7O1LkTY0Bv2IdCPs+m2fvw+PuIjvgYt3cWwJe8/+41W+fPfq/C/L8eW7jvLD/ZN878AkA2kNSQmxXZHL98YRhncfgzAK2T+5PgLrn390iGfuG6DueJw3vLTZ87gF952oUPd8ntZC2aPRxrgvlgIOlyx0VUKqrV9dxQj4yj3jnCzW2XuKIDaBf/nhYQgjfD9AEiAQQo4Xq2R0jT0rTKrrV3J6MXcdWVog/c+hEs954sqFhtebmRBu+dlRnrgtS06X+emxEipw6Vk9p/3salI/jtZgpNYdUfzTY53UP5dmzSPij//4j7n88su59tpreepTn8p//Md/dKJdCR3muAPHH5riwMQMl+3t4+hUmfGKy2NL+Ntuu+MQQz0G5w7k0C7cxt7BHFEU0ZtulLVpHOfRyC9a4npl4McHWsshOx2//8U5/9z0vGomB2fGed4TejhRB7Hu8J39ixPHu8E3Hy5ycLTM1ZftobBCGO99x4vIwBMGVz9tj07X0LUO1e1pERf48bEaB8YXhxiOW/DgaBXfD/EDsG2fqaqL5YQMZbsbytwuh8vLG+ff+5X969iS1vjk945QAPbuyPDIyRp9eYEn7unj/mPTuJEwu0WK6Yb0ZdS2Q8jXVgp7Y+nIEu4FL3gBP/3pT3n5y1/OlVdeyQtf+MJOnDahCzwyFXDf8RL3nqhRrC69IjpYCjlWqhOEEudvN7lwZw89aW3JnYvL1vJ26+num7Q52IjIDIEHj62fs+RgKeBr941z7rbcbATVqfz0eJW0EvGpH67en3u4Ajm5+yvWpZheRr7WnbgGXhiB6QRMVhz8lE/FTi8Zmp2wekrAfSdrcb3RasSRyQqOFxBGEdODaTRJwvEjqrbOhdvj6XulMXim0TGbw969e/nRj37Em970Jv75n/8ZoZ2d0RLWhe89MspIyWK8snxH94A7j1bQ5Ii+rEFeVzirf7HPZrK8MZNqk/kRmdX2dmJpmwcm6nz3wUkuGha5b2zpZN7vHmq9tNapVNbLidIi3z88l3+kiuAHAbpukNbkRGB1kKZeWNChWLGoWh79OY2JskzJ8nE9j4zSNxsYZTmbrKN0kbYE1ne+8x0uuOCCRa/rus7NN9/MNddcw9TU1Jobl9AdPvezMSSWq5cwhw/cfrCKrh3hrL4cv/SEQXKnmCFmzM2zutsIf8n/PHSSi8/Kc9/Y8smkZyJVC8ZLNoWUQt3xSWur21Y94fREAdz+cJEwgp68yJ7+DClNxVAkTvRanOf6TJYtHhx5/PS9tnrWs571rBXff/GLX9xWYxLWj9WE3n/zoRn29pS4eGeBndZCC/jR4nLxb48PRmy47HQ7L56BmMA9J4rUPJ9thRTffWiMu0+UuOKsXn7r2etXt/NMZmTeCqxcDjlSrqACw2kwVJnhvIHjBZTMzaNhnSjWTrtx5FpoSWB99rOfBeJyTIIgzP6/EoIg8OpXv3ptrUvYNByeiXh0tEJfemGX+eJdq08OP9PwNyTzbuN5cNxmumZzzkCW7zw6RtnyMR0vEVhdxAWO1eH7+0dRZYGz+jM8cGLzWLM+8OV7+fvX/0LXzt+SwHrd616HIAj82q/9Gqqq8rrXve60n0kE1pnHvceLaOJC3+S9R9fZcbQJ+fqDG1DaZBMQAiN1mKw6GIrIdC1iKN39ZOcEOFYJ+dFjU9TrLo+tUzpHK3y/kRDfLVoSWIcPHwZAVdUF/yd0n8Imil353sEypcpCT9FWDpFN6AxjlTrbc2mGcgbPPG/g9B9I6AiPTNqMTtqLyo1tJN1evrYksPbs2bPi/wndI7U+28y0zL2TiUaVsJCfHpzh6ef3Y+gK/bn1zR17vLPZwi0uGOzu+ZM41E3OJvKnJiQsybQHX35gijsOjBM0NuA0XX/JkkEJZzYXDndXw25Jw3rOc56z6hMLgsB///d/r/pzCQt5fLrzE7Yih8ohD41W2NmbIa0raHKyHn68oSvdjZhtSWCFYbjqROD1KDX/eCC9OaveJCQsyTfuHWFvf4asoZJREoH1uEPsrtO9JYH13e9+t6uNSFged/Pk5SYknJa7R02+dvcx9g3ll61mn3Dm0pfrbpRokpK+yVnnrYQSEtbMdx8s8shIiXO2Jzs3PN44e6h7ScPQAYFVrVYpl8uE4WIH6+7du9d6+sc9m92oIrN++wYlbA3KQHkm5NjM4zM/7fHMWYXuRom2LbA++clP8rGPfYxDh5avdBAEScjAWtnsKrAOtF/eNeFMZmPLIidsBJra3aCLthbwf//3f8/v/M7vcM455/CBD3yAKIp4xzvewR/8wR8wPDzMk5/8ZD7zmc90uq2PSzZ7pb58UtggISGhQUrtrk2orbP/3d/9Hc9//vP5z//8T974xjcCccHbD37wgzz00ENUq1Wmpzuzed/jnU1U6GJJwkSJTkhIaJBtc1PJVmlLYB08eJCXvvSlACiNuHu3Ec6Wz+f5rd/6LT7xiU90qImPb3patAkWutqK5fGT7IWEhIR1oi2Blc/n8f3Y1Z7L5UilUhw/fnz2/Ww2y9jYWGda+DinL9vacRu1BZGubcx1ExISNh/drm7SlsC66KKLuPfee2f/v/LKK/nkJz/JyZMnOX78OJ/61Kc477xki4FOoMitqdi57kaTLkta3+xGy4SEhPVAga7vOt3W2a+99loeeOABHCeu3P3+97+fhx9+mN27d3PWWWexf/9+PvCBD3S0oY9XorC1zOFd/S2qYh0mdBObYEJCAgwo3RdYbRmSXv/61/P6179+9v9f+IVf4MEHH+QrX/kKkiTxvOc9L9GwOsRMi2GCPWkDNmCjgepG7EufkJCw6Sh5m1RgLcXZZ5/N29/+9k6dLqFBtcVkFs/bmMrYSeWohIQEWJ8UnDULrDAMKZfLSxa77e3tXevpH/e0moYndbno5HKkVJhOpFZCQgJguj75Loa2tyWwPM/jIx/5CP/4j//I8ePHlyzLBEmli07QU2jtuKy+MWGCe7dlOH4gqXWRkJDQfdqa5d70pjdx8803c+WVV/Kyl72MfD4pctktci2WOpG7bDtejivPGuL2RGAlJDzu0dikPqxbbrmFV7/61dx0000dbk7CqWSM1gRW3fa63JKlETd9LY6EhIT1YD1sPG2Jw1QqxZVXXtnptiQsQdhi1PhoZWNKjUobpNklJCRsLtZjydzWbPPrv/7rfPWrX+10WxKWQBRbW7dMVzemTG4hvdnrySckJKwHAd2vdNHWbPPnf/7nvOENb+AlL3kJb3jDG9i1axeSJC067tJLL11zAx/vbG+xHLq9QQEuk6UkESshISHWfjalwHIchzAM+c///E/+8z//c9H7URQhCEISJdgBJLk1JTin64Dd3cYswVglEVgJCQkQsUmDLt7whjfwH//xH/zar/0aV1xxRRIl2EWmaq35pi4YynPP6PoLLE1Jgi4SEhJAAlJdrsLd1tn/67/+i7e97W381V/9Vafbk3AKttuaij1YSHW5JUtTqydZwwkJCbAetpa29LdcLsc555zT6bYAsbnxPe95D9u3b8cwDK644gq+9a1vnfZzf/Inf4IgCIt+dH1rb4kbRK0JLM/fmNJMRWf9tbqEhITNyab0Yf32b/82//qv/8qb3/zmJYMt1sLrXvc6br31Vt7xjndw7rnnctNNN/GiF72I73znOzz96U8/7ec/+clPksnM7bXR6fatN8tVETkVUdgY05y0LtkXCQkJW4FN6cO68MIL+fKXv8yll17Ka1/72mWjBF/+8pev6rx33HEHX/jCF/iLv/gLfv/3fx+A17zmNVx00UW8+93v5oc//OFpz3H11VfT39+/qutuZgyltcRhTRHQWB+1fD5e6K/zFRMSEjYrm1JgvfKVr5z9uylYTqWdKMFbb70VSZJ44xvfOPuaruv85m/+Jtdffz3Hjx9n165dK54jiiIqlQrZbBZhg7SOpRCBdpTl/mxrJs18ZmO2/q06G2OKTEhI2Hx4QdhVodWWwPrOd77T6XYAcPfdd3PeeeeRy+UWvH755ZcDcM8995xWYJ199tnUajXS6TQve9nL+OhHP8rQ0FBX2tsqCu1nge8opFs6biCrobD+Glbe2DyLgoSEhI1l0wks27a59957ueSSS3jmM5/Z0caMjo6ybdu2Ra83XxsZGVn2sz09Pbz1rW/laU97Gpqm8f3vf5//83/+D3fccQc/+9nPFgnB+TiOM7t7MkClUlnDt1iMRPsCqyfTYqn+ICSlQW2dJdaOXAbo7P1KSHg8sRGm/G7RbZPgqs+u6zrvec972L9/f8cbY1kWmrbYtNWM9LOs5XOS3v72t/N3f/d3vOpVr+IVr3gFf/3Xf83NN9/MgQMH+MQnPrHidT/84Q+Tz+dnf06nxa2WNdXYarGY4HTNxdqAXp9Nbe0ozISEjeZMEVbrQVvi8KKLLuLIkSMdbgoYhrFA02li2/bs+6vhVa96FcPDw3z7299e8bjrrruOcrk8+3P8+PFVXed0rMXLM2W2lud099Ei1TVcp12S2rcJCQlNuh3W3tZ088EPfpBPfepTpxUEq2Xbtm2Mjo4uer352vbt21d9zl27dlEsFlc8RtM0crncgp9O0mLB9SWRhNYe0YHixuxJdXK6viHXTUhI2FysTp1oj7aCLj7+8Y/T29vL85//fPbu3cvevXsXaT+CIPDlL395Vee95JJL+M53vkOlUlkgNH7yk5/Mvr8aoijiyJEjPOUpT1nV5zpNhljLaqeeem+qtbB209yY7UXGa0nicEJCwvoIrLY0rPvuuw/P89i9ezdBEPDYY49x//33L/pZLVdffTVBEHDjjTfOvuY4Dv/0T//EFVdcMetbOnbsGI888siCz05OTi463yc/+UkmJyd5wQtesOq2dJJCGgbbLLcYtOjDMjdIboRRUuD4TGSliSGJC01YClHfpHlY3fBfAVxxxRX86q/+Ktdddx0TExOcc8453HzzzRw5coTPfOYzs8e95jWv4Xvf+x5RNDeZ79mzh1e+8pU86UlPQtd1fvCDH/CFL3yBSy65hDe96U1daW8rSEBGk4mE9hJsxyqtSSJvYzYcRpOTShdnIit5ItZi4k44c0mtw0pm0802n/3sZ/mjP/oj/vmf/5mZmRkuvvhivvrVr542hP43fuM3+OEPf8gXv/hFbNtmz549vPvd7+YP//APSaU2pjAsxIPbDwLqbQoUt8Xka3eDCk7kl4jqTEhIePxRKBibLw9rPt/73vf42te+xtGjR4FYy3nxi1/Ms571rLbPqes6f/EXf8Ff/MVfLHvMd7/73UWvffrTn277mt1EAhAFwlb3uj+FwGst6maj6k3s7t+4xUBCQsLmQaD77oG2BJbruvz6r/86X/rSl4iiiEKhAECpVOKjH/0ov/Irv8K//uu/orRYB+9MxgeEAMI2n+WM3Zpqljagus5xFxng8rN74DuH1/fCCQkJm44ghIrldnVPrLZ0t/e///38x3/8B7/3e7/H6OgoxWKRYrHI2NgYv//7v89tt93GDTfc0Om2bkkiwI4iojYN/6HXmq3v4l2F9i6wBlIKDLdYOiohIeHMJgKqVned6W0JrM9//vO89rWv5c///M8X1OkbHBzkIx/5CK95zWv453/+5441cqtTNSOCNgWW3GJQw9lDhfYusAYsD0ZKGxNOn5CQsLnQRIWs0V2rWlsCa3R0lCuuuGLZ96+44grGxsbabtSZhiBBIXP645bC8ltbsZRbrIjRSRKLb8JmJCkWtjEIUkjOaLH2aZu0JbB27ty5ZOBDk+9973vs3Lmz3TadcbguZNT2NpLUW5QKQosbPXYSwwBDTmozJWwukh3aNgZdVTZnaabXvva1/Pu//ztvfvOb2b9/P0EQEIYh+/fv5y1veQu33HILr3vd6zrc1K2LDwRtyCsBuGC4tTJRlrf+GlaPIROJicBK2FwkAmtj2J7Vuy6w2grnuP766zl48CA33ngjn/70pxEbk1YYhkRRxGtf+1quv/76jjZ0q2PWVx8mGAG9LW7MWHbWP52zWPPJae1pjglbl3Y3I+0GEqxDMPXGspnu90r4QYi/GQWWJEncdNNNvPOd7+TrX//6gjysF73oRVx88cUdbeRWRwCiNhWR49OtFbUtme1UKlwb03Vwz/TZImERKWBjSi0v5vHQ/baCsFKAuhfgtRtd1iJrCpi/+OKLE+HUAiGgqQIS0aoH2AMj5ZaOG5s6/a46nV6pqcBYef0FZUL3MYj3aVqqv2wWYZWwedBFyBsaitTd+kyJA2IdEIB6ZfXCCmCmxSrsxdPIq25kS+XSUOly3kXC+iMAWQ2yG92QNhFIIgXXG1EEWRIwupg0DKvQsFarSQmCwL333rvqBp2JOMBMm9uK7uxpbdpYSXNKA7oM9Q57o0UBerPdDWNNWH8UQHRX7lMymzO4wQDSMogS2MlWvuuG5YPl+F2tcgGrEFi9vb0IwunVvbGxMfbv39/SsY8n2jWcPeu8wZaO04Cl4gSzgCFCtQuziyDB9pxBFjZkt+OE7pCSoeLP9dlThZPG5t3W3QFEH+zNKE1bZKsEWcxHFSGtdD8Aq2WBtVLeFcSC6iMf+Qif+tSnkCSJV7/61WttWwKQ1lvLw8osU0swAmQVVBfssLNbQ0QhjFQsNAGq6xSkqBI72h8PzvaNQAAEcWE/UVgosDarsIJ4ol9uD+xeEYqbWBJIxPfaIQ5s8Ro/WwFVgqwub+5q7QDj4+P82Z/9GTfeeCOe53Httdfyh3/4h+zbt68T7TsjEIhvdDudT2sxMXfZxY0Qm0f8sBGt2EYblsPxoVJziSS6ah8ygKwKkQRiAJPrn3LWEUTiSWmzT0KKtLCNIZvXBLgUCnFfn99NDOJqM25lcwaN6MT3uDlXQPw9NntfaRKKUOmysII1CKymRjVfUL33ve/l7LPP7mT7zggEoKBAyVt9B9yWb819vNxO9VYEKR9SGqgOzKzy+isR+bC9J43exdlMBgw5bn+pCjbx4N6KsYkGcxNSRPxdNhsSQARpBWqNzjpfm1WI27+ZK0hKQF6D8XmqoCqCugm3blOZJ6BEUGSou/HiZis5VTwH6qa9+QTW2NgYf/Znf8anP/1pPM/j1a9+Ne9973vZu3dvN9p3xpBWwVylwFIBTW2xYN8yqpMKOG4cxSN1eMnm+tCT0dgxqHHyWHcMRX7jOpV67CfbyqbAOnEAjEQ8IbUqsAxibWE9vntWBF0RUPSI8VL8WnNSbZqqRDl2sm9WQqC+RHe0vYZA3iSIQJ8BXgBhBFpDqMoSWG77WxJ1sn2tWlADoO5Fm8ckODo6OiuofN/nNa95DX/4h3+YCKolOPVBR4ATrG6waMDOHlpOxJMVlpzRXECJ4s7f8TiYKG5frcse7joghFtHWKVZ3o8iiXEU28wqzJrrpc0YgKpDLq1h2fZsFQmF2EwYBKCmQBHYVPbBUxV8l8UBSOUQotLmElgakM9IyBLYToAiSYiyQOCECITMbLAauxp3n6FBSpI2j8Dat28fjuNwySWXcP3117N3715mZmaYmVneyHTppZd2pJFbjVPlQgQ4zuom3Ig4NcBsMTa3NyMyYS/uYllA0YAg9jl1ElmIN/N8aKK7oiRieQGwGVnJXCmE8bYs619Ia2U0IKvEwkmVRVx5btkVAWEYP4PQhLyxce1cila7tQ+om8gZp0kghpDL6OSNKE47CVw8MZ4rmvPIVig/pcmQU6XNYxK07diAcffdd3PNNdeseGwURQiCQBBs9tvcHU4VWBqQSoMWQL3FVZMLVN2IitPaPTy3v4dHpqYXvCYChh53+KLfBb+PCo9OrE9A+yYO7lrESsLIAeQIUlKsdW8WIsD34lQFy/ZJqRIyIQFQaR5ArO1Fm9mBtQJ9GRAiNo3AcgJwghBVlrH8gLQaMV70cTzYgFrWbaMDKVVF1uXNI7D+6Z/+qZvtOKM4dcIyRBjMp1CViNEjrY92xwHTbs3p9JR9fXzvkel4cmleF5Bl8LzuBClEPhyd6t7slWFzRnStBZHGajQNM61V3Vo3IiH2dfphRE5RMfCWDGHfjMEi81kuGlYRwfQ3T8SjD4RexGSljiRJ6IqELIkEfoikxAvderAx2pXK0nmdp9KMerV8FzHsfphIywLrta99bTfbcUaxqIMJoGsShiwjYa3YAZvRQUHjc5bfmm6hSgLb+6E2tVAbcT3wujQ6MylI63JXEh01oDcLSjWObNwKZpFW0KX4u0xuMmHlEVcuSasCKU2ix1Dp760TFuNFw1bRcFXihY7DYjNyqQ4Em0NYQdwPXAGMSCQKwJcCBAEUSaKgBBwrblzbWlXwVEAVIG/oGFr3K/0ltQTXgVIAUyWL8WLltJNuyNzEHK0i0ffotEWxFneg5kNVZBjMK7EPqwsM92Z5wnCWp+9rczvlFcgojWg6BXLA3h6BYQ0GlM522vlrwm5voKwQ58SV/M5qjgUJ+qW1td8gXoAAyLJESpPI6DIpA4a0ODqwm8jEfXet6BJIUhyWvwhxLohkM5DTIG9ICI0RLyChqQrKOkz8nUADDAl60qDLMr3r4NzcGnfmDKBi+hStpcXVcoq0IIAmt6Zmu36IFMTmmoh4sk/L0FfQ6dG785hzisTuvjTbswad7KoiUNCh5oCuwvYBmQt29LFrOMVAj0qP3JkclWY+VJPljK/5Dlk6PKDotr56XQ4BGFRhSImrNyhC7A9pd10iEAdSCBJ4fkQYRIiRQErRSWtCbCZcY5tPZSnTzmo0aHHeb4W5YrdCw6yZ0hcKJh0YKijo2uaY9PpE6M3I9OVSGJqGrkqoqoAkSMiiiBstvOeboc3zSREvMAwR3BA0VSSrJhrWGYNtg3mKjaJ585fTogQRFKU1q+3u/jR6Ol5tG0BeBkWXKKg65w33LvmZPGtbOY9XbaJGKQ11jfHCAnOlaXpU0AyNlBxPPkO5FGlJJBQCJCIKemdW/KdOwktN+Gli0+RqWGkF3wktIgWkDQiieLIo+7H5yyI2h7U6qHPEfUUnNgfKs0VjfcqOg+U51OoR09bahWyTPJCXFldTX82aYL4JutkPIqAPKKRFevISUbjwnAUddvUYccRuOw1v0KxGcbru3rfCAQIQCiCJ8UGiJJIzVHpUnZ6Uiq4o5HVtwQ4Lzfy9zYLf+LGEuO9UTY/1SHVOBNY6IAGaBqVTXl/J3CcDmgKZFgtKpmSBtK6giZAWQRLAkAS8KGAwqy+5vYgoxWaJ5gAstHSlOSQ5jgTd1Zchu0YJojCXoGrIEIYOig45Q0eRRKYsDzFSEGUZSQNtDWNDafyc2vk1kUWaYkqFdFpp2dmrs/xWLnmgfw33KcvchBl4cbmtZs5RcwJfzYD2iIWcAwQhKKKEoen05HXcIMJyA8a9zgZZCBL0pGLNuUeMn7nE6nyUzf6aIk6yFYi/fyhBb1ZHEAJK5pwWpxKPtQnLZbpNaaU3fvzGuVZ6jDorJ/028zLdwMMNYDCtkJIlNCGk6vj0pGV25tOo+tz37U11ZrsXlfg8adpfPAlASojvb1aEXErh/OEMmVT3d25IBNY6EADuEgPldHOuoQgYSmuPyAkEVFkmk1FI5+IJQZRkMqpC1fM5Z7vM3oLMztRcR60FcSRi04S42gD1p+7pR1MVQi9AFNa+vrKJJ9CKCZKgkjMUZAnCKKLXUBEJUJWIqRkotpHI1LyTHvF3LkjQK8UDWAKiaOEqViP2iThu0HLQQUZjyVHVp8Nwv8L5u3IttXEptvVBToqj3ewI1GjxJB+d5hzzCef9rtng2gGZlEBBlzEkCdPtbKhFlnhRYPtxsWaBuQCj1RRgkWkkOQuQUuaZBRUQxZDDk1CO5iJjPcByYHrabitwRyWuZTn/vi41VpqatUAsSFfCp5F0b1qMV10iEabNAEMTiZA4eyjPvqEMBaBXhYH+NLuH5DVbFkTi/mNIc7UtW0Wjcd+J+5+mwb5deZ529iD7hvLk1kEFTARWF1jKJLRUWPlK04EPWF5E1W5tiGWUCD8KkSMf2wLbBdfzcZwQQjhvoJfnXridwR5j9qHrzNUWXG3pn4EUXLirQM5QOFSsQ7CwLtpqmS9/JBkyWQ1RVOhJqRiyDCIMZ1OkFX3Zitsr+XBObVcAKArsGlLZNiDEE4E4t/mfABS0hllWkMmfMlKWGziOFwfLLGqbCEIUEoYCO1YoD7lSn7AdkMXGROODL0B23iohIE6MlRvtk1n+eZx6r0JAkEV8XwBBIK8reA0pItGZDRGrNLRCB0qV2JzZFFSt9r3m91KEeMLMZxWGcnGtyZQmoIjSIo2w2bcEZW6CXk3gRUQcabvSZwTmfGkS4K3wIGXi+z9TjRgv+1iux4zlISmgihLb8zoiAjldZqhfpD+rktFkCukUuRYdlQLxeGyaEqV5r4dh3K/VRjvkxvsayz/nZl9Shcb3FOOftKZQSKn053TCLudgQSKwusJSfaq5ClwNUzU4Od1aPJkZgCwIWJGAIMd108IQVFWkN6uxozdFX0ZhKKeTUeOV0kCuvccvAb26ht6o9dRjKBi6xPYsDOmrF1opYCgV+1QgLgHUq8vs6UmjKjJ+6FO1PYqOx4y5dEZZQYKhFZQXjdi/09Qum/O84wXoqkrGgL6UyGAOenTIi9CTlhnoT5FJSxROOfdy81E1jAXJfAxAUUTCCCRRIJVqL1JNlmKfXiRCIDS0KXGuOrlEXM3EbrTPZ/lnIbLQrGUDnh8SRiF1x6di+1QbM3/TTNsJrCC+R2YjqGC1WnlIrIW7QCEto2oCfgi+C6YX4S5TrCCbhvO35Tm7F/rl1QlgD7DC5dsrEz+DgPg+1og1vFNpmqK1xnFuCGIEfuBSrlp4fkB/2iCjycxYHqEoIIugKyIiEXXXR5Fj0/LplJmdaRjKxnubzd+Oxye+h4o8V9G+2U8KehzxtxR+49io8SMJICsChirhhnBksoa5DruPd3d7yMcpS1mr0nJcbWI1+ECxRQ3L9wNARJfANuPOVfN9ZEEgo6mIhKRUhaF0BkmaIQTMFnO8mhjE/jFk0BQZO4i/0LaCwTnDBSarFiNFc1Eww+mSEHf0iKTSKkFkY1mga2CHIZIfIgmxUPWiCEORcBV5ybOpAuRSKn01l+lTvpZAXOusxxAIowjHizt+Jq0iKeA5ARkDBgtZdmU1TlRdKrZFX1pjeybFlOUwMd16gnQQxcK3mcStArYbYqQUZEEgjFozgZ2a3+YH8SKEIE6ADRvvG8xNJKc+0eXuu0VsFtIaiakGIIsCoigwnNWp2R5RNNeO3iycWoXNYPV1Dm3iSXv+il9lzjTY7Dsqc0L3VELi5+17PrYg4zrxfmxyANEya3BDhP6UQWGnxh2HJzAbNr1WfWcuywdrLNXGpeaAjBQ/Q6vxfkaJBenBSfDw6JU9dvfmqJo+h4pVLC9EVxRUVaXmuFiuh+/Fe0+tVERIBgxVpm75uKc0zmu8X7YW5qkJAMHKGoxPrJll1LjEmB9GeH6E7QVIosDMMlHQnSTRsLrAUoPY8ttLvtzZ15rVuiers7uQJpM20LXGgIli/4+sxKE8e/pT5DIy2caqayU3UHNLlPmkZMjlwdAFMmmZqhuhSCL5lEpWUdBliTCaC1wQgYIIeXX5lVEW0BSJnKaQVkV0YrNa4Is4XkDN9/ECj7QkIgTQo2sMLhHW7omgaiKpJW5X05ShaQpGSsXQIW3IbOtLk9ZkXM8nEhWGsgqaIrMjpzGc1zirN4thKDhBo87bEudd6uloysJ7GxGbiFRJpC+lr7hKnL/y7znFh51SJQShEWE273WTeEL1WNzHVupzigB9SuwjyRiQSqW5cKiX87b3MJRPz2pVqgy5zGK7QTur3ZwA/Rrk0/HE19wHqvm7iQT0K4uDYGbbLoMgiTimT7kh/VURJGHpb+yEEPghM7ZDxWyt8otA3Ic7YQ5tVjhRG2ZJgzisPa1ps4uXog+m6zFRNwnjYqLUHY/Jsk2x7JDWU6TS4mnzKkXAjyK8JfI4m0E7p85RNlD0Vq43agBZLe43rh+P06rjIUlQtz1ksfsVMhMNqwssNWTaKd6qAWf3LRdztpCdOQ1DVShoItONAAgvhLrrk1FkBCUiIK5d5hKvcqMVFkQK8Z5CpXmqgKrCnt4sdhAwnNPY26PjBSGqLOESIYhQSMdagOHEPqKUCl4EsgsZATQ19mHUGtdQlNgUZboBihrfOU2CMPS541CVMrEd/hkX9GMoEiHQmxdQrIiT82Ydz4Xpoo25xGpBBlIpGV1TsByfah380CfEJJWS0DWdIPQYqTjkFC+2xYci01WbcdPEckL60uDZsdbUDAV3iTcFFGrxBBASR01ty0mMT8/dXLfRBk1T2TOQ4c7jyxcHGkzD8XpDY4oWagCRFOE3wtR85oRWcxLSGr89WtMaDAMyhkoQeQiRxK4ejSvP6cVyQsqGQk4H14SsAba5hE7Yxo6gqhRvxKkE8b5PTYP3qTlxhhQnjYtLXFYCMikBQ1WYtB1i2wLk0zpZrWlwW0haESm6DmXXpTzv5oiNn6U03oIQJyEXMiLFSsjMGnbsTovQm5MRhIhKLUBRBPqyBoYiMF93K1s+luvgRhGiqGD6IbbtIoWwa0jA9RRs5/ShjlU3IAoaUZTBXLtDljfDeiyfbycDWRk0RUAWImbMeCHjOAGqqFDo08lnOiHaVyYRWJsYQwHLb9EkGEVIosh03SWK4iHg2vDI6DQvfMouJAFM28e0fCpuwyyxQr83iEOd5yOK0G/oyKrMOUMZtvfGFS6m6y4nZ6oUKyaiAIYaV3L3fZiqNqp8E4fmnjWUZapUQyhH+EG8YgvCCFWR8D2DnpxFFMXRD83qRXVgZLpGIaeyPZtGVkRygsRJc87gpWtgaDJWGCclGcyZmBQRUrqEKIWIoo8kQ60O41WHbA1MB4pAoVzF8+ZMec36HTkNcjmJ/p4Qw4uI/NjslxEgl9JwPQfBjSOnMjqoosLF+wwOj9bQUyqh6+JEIoMZDVURCZeoldWjxJFoUsO/EhBHwElhXL4nr4IixEZCvyGwmuHaMnMJ4ykRMuHcvVuOFCApAilDolyP6M8ZFDI62/Ip7j42w2TFRlVFMmFIQdeYqi7uLD0ZqLYYWtr04UZio1yYuFCo+sz59STisG/fXLjQa6Y+FAxI6Sp9GZWK5ZCy4s9rioi7xHgRge39WXRZYcKxFiwoM3KsLZwqsDLEe1MZKmzrzaDrLtKkzUxjm6BT78bpZLeqQMbQGMzqzKQdnCAEKUSSFpoxal6EaTmYfhxIpQlgC5BOiQzn0/QZOq4/RdUMF9QNnY9PbHo0VMimJbypAJP4fjf9bQJLV1uRlvkSeRm0FGi6yti0Q514z7Gy5ZFSBbwgxFgHe10isLrAUvshbVNh3G3dLCgQd/KSuZL3Z46y6TFZM3G8uRDsCBivQFoVqbsBozMWnu8RNUbnSvk1/YXYjJkiNp/oQMFQmXJceqII0wtx/HjvmwePT/PYmInpxAN5ue9YrkO5ahFEEYIQh4yndRVDl9BlkWJoUauAZoR43sKRI2sKYiSQS2mkNR0tLfLw1Ny92TOUZUdO49DEDI4ZoKow4zSin5Q4MKRYd5FEhcEemVrdwXRj4dQUH9OnzFrNAW05YE0GiHJj9+O0yEw1xPHAshwEMU7klc04uEJW4Fnnbec5F4pEYcT/PDzGdM0CEVw/WNLsMpiWUHWJUIjo9zxEEXRdAcGL67VJ8X31wjkfSKqRgGsGc5qCHcbPdbn6js3XI2INO29oZBQFUZIYSKsgCExVbUYqNSIhjEtkiSITS3SWoEUfu0gsaFLE2rOmCohytCjVoxmJ1swta5rkIhpBQkYs0FNpnV15AysMyWcU6raH4IHrBiiqsEh4CIAoCPSldGZMjwWevTB+pqI/F6quEpu/dTlufUaT2TeQ44f+BHrdpWQtFFinE1Y68aLHj2Kf7Dl9WSp2wJTpMHXKTpOGJDBph0xWYVp02Deskc8oaBoIfoQCZHSDjFanssyCMyReLGop6M+nEcUaUzMhRW9uq55mKSyRhfNAEMUCbf6jlYCcEVe6D/0Ac17/rTsWhaxG3oh9bd0mEVhdICWzwOcxoMGebRnEidoCM1YTnblO0wwvFYCcrmK0mDisyDK6JKCoMvK8GTEK4tXWVMUhjCK292fZu63IPSf9RR2zGSigAD2ZFOdlNR4dm4k7vyqxqz+DHwSMWx67/ZCsHq8OZ8yAyD29A74OPDLp0yuDrMb7L/VmNXKGiiFJTEkaLg6mBT3VhTNkWhHZlkvhuAGKAkG4cDn3xKE8ihIh04flTSCIKmHgIqrxxBNGIqIgUUir5DWFat1hshxHap2OoNF2xYfBnMxwX4qIGo4T4gCeBV4ceY/lhaiKQiGrQgQCArsLKfwwtieFocBSwVS9hQx9KZHD02WMlEQuo5OSRUYij9AX0VQJTVNIpeIwQBHoMWJ/VlQDP5pzSDfD2udHdTUF2kLtICKjytiCj6GIOH6A6bgoskhWUykpGpXQRSVaUvidbDGjWCRO9M6l4KxteXb3pKhZAfeFE1Rn5gRrc+XfNGtKzBVX1VWQDRFVEFE1EVmW0IN4WwsBDyuCactBVvxFwkMAarZPT1qlt75Qo5lpRK70KdBPbIZNp0UKKQnT8ZCQ0BWR4ZzGBduyPDZRw8j4MBlQZc4fdeqmkc2Q8QDQhbgVmiiSUkUG8ylk2WGkWmHqlH6e0SQcu9HfQijXHAo5EQKZbFphsmyTT8tYeRmn6FP1lw6sUeRYm714Rx8PngzxfQu7GODQ2Eom/tpkZFD9OatC0wfd7KIKkFdizcrQ4nHUn/Y50ViRl+owmFHxQxjKJgJrS1I9ZQVdMAQGUgaTam2Rt9cA8jqMNfqtROzUFKU4g7yvRbvwnl6Dbb05ar4HoT/biEwm1oymqzZ+ILGnR6dU2065foyJ0kKBlVLiHXEzmogXegzl+4gQGK/UiSKR7Tmd6bpHFLpMmS5GY8O2J+/Kc7JcgxmP4mksmM1gj6GcjqKJ7OlNsXsoT4+hcnBqhioN05AscekOBcsFVQ3Z25fBDXwOzZQYm3Y5q3/hxBNFEWlFZXBnCkUWkER4ZHKamRrsyOvsyKYYzPqcN5BD1mScMEKSyuQtn2ONwacAORmm5z0/HcinAD9+Jn09Kfb25MjICkeKNRzfo1oNYyc00BeC63oIgsBj41UG0gqBEK/wNTW+v82cnfn3PqsL9GbTnJyxCXwP0zRxRZXQi7f9UDSZ7bkUCB6OFeEFPoqsIYghfuDhN2YiVYr9PpoW/10y48WQ2rimJIDTmNElEY7OVJkqOWQNDVGUGau4/N13j8z1qyxUgvaLGeWJr29G0KeKXHl2P/05nfFSvIAyzUlKjeR1VQPPidvpMpf/ldEbkYRBiJ7RGUzppBQJM4pQJZHJxow9bcK2vMqpSycF2NefIQgijGVqiDXDv4d6dfb1Zan7ASfLNXxPJAwFym5Ij65z7iC4vk/ol5HLceUOVQa7cUmRRi6fGIesRw3tO5tViAQRQ5VRFIm0rjA6aXPslPkgpUqzTqYQkGSZtKoQCBGmE1G1XTwEhvIpTKtCuaEWZkSozVtVSFKsPed0mX7DwPR9ThaD2QVMQWkENwVz/k8PSOuxDzpwGpGkAuRSEjt7U6QVCVWWOBAGnKjHvTcMwA4jXNfHcrsfJZgIrC5w6sKzZEZkdYlMSkMoObMrwAEF+tIShZxG+ZiJxZwpUJRin0WrGtZAPsUzzu2lVLWYqsajQCQuapo3JFRVYViX0SWRp+wt8F8PHltktix6cHYfIKjsKqSBiIwkccQOmbIchrI6T9zRy8GJKoWUihfEUYK/cE4/dhBxYLTI4YkqtgUj82ZjnXjwuY2/tw9onNWXQRVEdvZluXh7lrSqUrfjO+MRh+Xu7tEpuRFBGDBStTFdh+OTNWaqIMsLJ9FDUxWuzPXzlJ0FhnIGM3WHGcujNwV5TebKC4awbJeBnI7t+ezMpyhoCnXXRTxepFiFviw8eXc/D41OcXw6Djs+f1eOtCpQdwKGcin6swa6IgMhPmA7LnWrynQjUKJugxuGlE2PYsWmZLpMVk3qbkC17jOQVfGcxT6T6brHk3boiLJIaIMbRGhyyEwNshkBWRA5b7jAcFan7vgcKdbRVAnTdbA1D6exKaQoQC4joGsyYRigKSF1q5FQLMYmxZnGJBlFUC57jFdhtOqgSlVy+sKFQEgcvtwqgwZMzJMXfTk4XmkkwrshWUMlr8tEhViXmqjbFKs2lh2bQV0xFtByYxD15yVSKRnHCdA1lXMGsuzoyWD5HqIpEiDQNOb5wJO39XLP6MkFbbKA/kKKUsXGdJc2sR+34kn83IE8g4U0E8UaruNSd0WcIKCgK1Qsl96UDoh4gYAkVgmjCEUScPU4ssEPY9+vBLhBvBed54LvCmzv08kaKoosYjrBImEFMJRPkcvC6HQjWEgLcMMAPwyYqpnUvRBdlUgrcURuc22V0mOTtEu8Jo5z9ELSqoIsi+RVg5RqU3fjFJv+vMjxqZAgmkuWFwFFEkCNCCII3Xgu0hWJc4fy7OhJcWTcxPYmZ9trh/DoaIWJioXj+Fywo6flvtIOicBaBywXinWbmjknrEQgn5fJpdQFMcqaFK/IwhDSsoR/auTDMnhBiCKKZFIKQsNcFgJSJKCpCjlVZNL0UFWJwbSOHi22vLvAE7YPcv72HKYdcGCySkaKcAMfRYCaHXLetgyRILCjoMadG5ioWEQRnDOY56yBHo4Uy/SXKxwfi5DVOHKwasZXO2d7nl95yk6Ol2xqlosmixRSGoIgITaSSyQgm9K4b6TIaDFCAHb0a0iCh2nFvqWJysJVdM0OqLkBhbTGWMVGEkROluuU6x5PHM4zkNEoCxEVM8DxffqyGqbjs6cnQ8X1SekO/RmNswfzlGwPRbToy2nsLWQwfZ+Ld2Z4wo48x6ctTNvnrokadT+goEsUDJhsSH8LmKq4nJy2eWSqRFpRKddNnECkoEkU0hpLbXN05/E6z71AIK2KkDGYKVdjf2QIphPgOj4yIb0ZDT+AgYxCKESIgcK0YKMLEbomkc2oRFG8P5EYhZRsl1wqxDAUJCFipupQNH00FVRVQiTEqcSTlulH1E9ZJU9VV5drde5wltLh6qyZ6km7+jj0YLwT9ngdoigkpcWVHG0jwFDiavCKIZBSVHw/QFXiBYIUhqQzOllVZgYbUYCBrM6+oTQIAnc8Osn3H5pacP0nnV2AuxYKLIA7j45x8LhJZQWXcMkD2w8JwwCfCDFSkcUAzw/JpxUGXL0xMZtM1Bve2kigJ5OmL60RBAEnSjX8ICSKJFJiSMX08MN4IQERQ1mNQkbl0PjS0SqKLGAYGuDgAMdGIy45V+a+o3UmDZ+8HlJI95JWJGRpbgwrosiO7SJZI83+k2VkUcRxBUzfJ6sr2GFAT3zbSKuQTRmkjTq+G7sMcuk4+CSX0vACFz0rkfU8UrrOjh6dXQUDQ5NxAh8FiaaojJOpRQTElnNG18Kmy8NyHIf3vOc9bN++HcMwuOKKK/jWt77V0mdPnjzJNddcQ6FQIJfL8cu//MscOnSoyy1ezKlVDGrAVM1FVebeCQHL8ilWLKo1j750HJmU0kCXBXpzaQpZJa6G3gKWGxCJInt6Mwjx6GgU3dXJGQqSItKfUcmpMroms3t7ajYKbj6X7OljZ2+asVKNY1N1xqouQhBRqoOqhCiyxN7+NINZnbwR26wnzYCK6VK1fGzXR0bCUFLsHtYYLGhk0jqqBBlD5tzeFOcN59jTq7O7P822gs72njQZTZzdB0gGcprIY8WIeuP+lRqJrE1zXfEUK9XZ/Wl296Ri/4suo6gSWUOhJ5smQkBqRNdlDYmcLnNiyuRIqc7hUp20IpLWZFKaRNXxqNsuM3WXiukRSTCcN9AUhTCIGM6phAjU/QDHCdFEiZq30I8wY4Hv+wR+SKkecGLc59iUy2i5xmB2+Y1YHjhRpFi2qJnOrA9UACoOHJp0+MnhKTIplYG8zlkDOYayWVRFQkDESKn0F1LsyKY5uyfD+QN5dhUyDKVThCIQRRiSzFA+zbYeKOgi5w71MFDooUDDr+H57D2lOu9qp6CdhfSCe7Grb66XhcR7bakC2EGI4wWMl2zqXojvRvRkdIZ6MpzVW+AX9g5z9rY+njicR1UkBjIGmiqhSAI5XSKlSmRSyqKaflM1j54lhsy9h0xG3dOnl2zL6SiyzO6+NH15GUmSyaoyBUMhjCI0RWC87uLYDq4f5/ZJUogmRaQ0haymkjEMzt+W5fLdQ5zVlyaniWi6TDaloasyBUNlrLS0wPqv+8c4cHKuc88AhyfKTLtwrOxzYiqMK9hIIqnsnL7hRxGm7aOoIlUbxmshtucykNXIGir9hkE2pdOTEtF1EU0RSMuxGTanQ0ZX6M8r9OaURv9K84SdvZw9mOWs/hz9eQNDFunL6Qz352evqwNPHDI4eyDNk7Z1fl+8U9l0GtbrXvc6br31Vt7xjndw7rnnctNNN/GiF72I73znOzz96U9f9nO1Wo2rrrqKcrnM9ddfj6Io/NVf/RXPetazuOeee+jr61u377BU8JQXeRBFCyKKyiYIqYhsToBavApLKSJ2GOLVHcyMtqzN/VQUScD2fM4eSrEjn+PQyCSiDk/e3kfeULlkVy8Vy0OWRN5/211859H6kkmZT9nTQ06X+dI9h4kiqDg2ZhibHGbMAE2IqBKRNRSURu2wtCLiBgESAkIUEIkhVc/CtUFWJAbSaRw7QBQlxk2HoukwmNXpzQoMNhJSJUlCFGUMAtIpuHxfP19+YG71LEkC/Tkjrle1BBft6WNXf4qsoZBLaQzkDB45muWe0Qo5Tcb0I/KGjK4oZPIG//PgOFEIk1WH/rRKGEYgiERRRM3x0VSp4fNQkKVY0z1WNOkxVHb3G+weN6g4AYP5NHcfX1gCwgHOGsxycKpKJAg8MB6/fmA6pGeJBNwm33t4mnoUF7itBGAQzoaruxHcd7TCCy/ZTU9GwHYlsnrEZLVOSheRBJlBI54QwyDAcWMTW7ww8iAQUCWJlCIzWDAo1nxKpoMfxtuxD8hwouTxt988uKBNF+6Quffk4kCG5SifElGyp3/hJGYoEl4kkFFEjvoRqbSCXQ5QdYWUItGjq/RldPww4pyUihUE7C6kOFm2SCvgBiGCILIzb3CyZ7Hu98CR6dkKHfOptvgFqqbDE3cWyOgKY9MmdmDjhRG6ItKbURFFAUWsISoqGS1iMGMgiSKSLBN4IZIqkVMEegyNc7ZlGe5N8dj4DAiwvWAwXDAYyGhMlJf2Cz48ufg7nZiXozATwGMTFcIBA11W6VU8Sl5cIMD2IAwETOLFaqkGe3oM6q6PF0RomogfKAgSSAhICgg+GLrEcF+KQUNDkSUURaTH0AgFEBEYzKn06hInqyEDaYVfumCYnz0yzQyQzcBTzx3mkiAkpXZfnGwqgXXHHXfwhS98gb/4/9s78+ioyvv/v587d+bOPpN9gQAJYQvIEmQRVGKpoEVb5QdVv1pQLNJDVWz1yFc8Fvm5tNQq/VmrLSpoFQWaSqn1HERUBGMVUQSpbAZJAgFCyJ7Z733//hhmyGRhqSQzY+/rnDmQuySv+8xzn89zn+0+8QTuu+8+AMCsWbMwbNgw3H///fjoo4+6PPfZZ5/FgQMHsG3bNowZMwYAcPXVV2PYsGF48skn8fjjj/fINXSF36chN9OF8tq6aA20lYCbgBogPIHwBNuQFl60rFULodbjQ1A99/6DLIcFGogRfd2oD/hhkY0YMygdAOCymOCymHDF/30L35xqO4/0mbX9CyPyUhBUNRSkuuHzNaKPy40TjlZUnPRhSKYbVsUEB4PRJZMAIMttQVHvVNQ0enGy0QdSwG5U0KISDouMotwUpFrMqG7xINViQn1rAPkZdmgqUecJQJbCr4WQ5AAEgDQrMDjHHXNtdqMRKRYLunpX757qehipoqhXCrJdFgRCKlRqSLEpUKFBkAhqRO8UE2yKjAG5LjQeCkIxyJBEeLWOLIcCl8WEoiw3Kpta0cdtQ590a/iFeiEVja1BOM2ETZYwpHcaGlp9GJ3nwhff1KDJE4gZTzOyTwqEBNS3+LG1vAHAqblVZ6iAtJ76IprU099PW+pVwKYYEAoBaXYT7IoRzb4gWv0aglAR1AgGVJxo8UGRQ7AoAt6ACoMADLIBGTYz0h1m1BzyIxQM4nAdkO22YGCeDT4/saOTIawT8nvhiyMVXTq35+DR2Blg7nav/m1oDSLdZoRJNqB3moJJohcO1jRAC6hQJQkWsxGaJMEfCMJslTEg0wktRIS0cOXJZpYhS+Gmu0GZHWv0x1r957Xye3sOnGzEYG8ajAYJ//q6BhUeoI8C/OjiPPRKtSDTpSCoanDUNsNuNsJqksN9fBoRNBmQASJIQDIIHG3wwmQwwGUxw26SkWoxwW0xwWySMTDTiZ01J84uhPCAk7bjuE40BmCSVByvV6PLvXk84RGj9S3hq1cRfnpSIZBuN6GpJQC7bIJHeKGFiIBGCCFgkQmz2YhBmW7kpligahrqWkOwmg1wWYyo94bgNhvg18KL8QZDIfROtSPLLSPUFEK61YTn3tmHrV/X4rLCdPzvDy/6Fql/dhIqYJWWlsJgMOCOO+6IbjObzbj99tuxaNEiVFVVIS8vr8tzx4wZEw1WADB48GBMnjwZa9eujXvAqq5TkZOuxrTBEuF5SC2+ABrUU+vCySYEEEDIAwRDEtQzLRrWBvnU8DObScYlBalwWRVYTUBxXmwn6DftyqQhKRK+qo/tJzMaJFw2IB19Ui3IclmQ61Rw0quif4YN3oAKv4qYJ7+B2U60BFQITUNNUyuMkoCqhfsi3FYTCrLsyHRZUBhwwWwQyHaZIYQEnxoEATQHNORbTFADMhRTEDJk5LVb4WN/rQ8nm7seR737cBO8/iBmjC8AEIJilNASCOJonQf2TAsynGYIhkfrNXlD6O1W4OuVCo0aTjb6YDZKyHJaMSTHAULAaTMhx6lAEhJMRgG72QyXNbxqdoMngBNN4dlQQQgMyHFBNvnw2ZHTzTwOswH9M2wwZDkw6LODONwI5GcavnUtVBGEKiQ0eEKQJAlCAEJogCYhxPCTgEE6tTCp0QhFltEUCCDTasKAbCdkgwHDc91Yua0VQBC1DUHcOXUALLKEHUf2dfh7pWXnHqwAoKbpdNFqBqLNxhFCmgZPUEWmQ4FZFmj2quiVYkdNQyvsVhO0kIYmvxcBNdy/lW4zIaQSfdNtaPWbkOFQQAhoqtrpqgwFqRacaPSitencGzP72sL9az4ARxv84T5Qo0DFqXul0h9+L11LQEOeywJJCJgMAilWI1oCKhSjAWB4sEX5sUZQVaEGNQhjeOV7RTZARXg+W4M3gBSbCTeM74O/7j63gNU3Q8GeE21WwwgB1joVbRZTgcMRngwfmYAgA7AZAAPDb3wIB1cjKLzQICHFYkKazYh6j4pebiv6pFlRmOXE8SYP7BYTbCYZsiRgt5qgqkCaVUZrkHCYDLCYjShvCCEIYG9NAN/UVKIZQGVNZbcHrITqw9qxYwcGDhwIpzN2aeyxY8cCAL744otOz9M0Dbt27cLFF1/cYd/YsWNRXl6O5nOdkt9NaAg3Z7QvcoNqEM3e0+upKYoBJiEh3WJAqsUYDkTngMtiQrpDgUk2IDvVjh+M6IXvFfVCtiu2T6L9Qk8/nTwEOafK0KKM09v7pNmQnWKFNxCCxWzCmPw09E61wxcMoabFC1+b1RrS7GZkOS0wGGXUtPpwvMkHj18DaIBFDheu/oAKiUReuhWSkBAKaaCmQhICvdzhlzRabUbYreF/FVnChHxrzAsP2798L9twOgOHNA0qVVhNMtLtZvgCIQRIZLjMSHfYke2yINVhhmyQoGkEhQF90yzol2ZBXoYNbqsCahpOeoM4Wt+KqkYP9h5tRjCowiQM6JNmw9j8NBTluuBQZLR4Q2jyBtDoC2Hq8FyMLUhDbyVcGx6SER4tVpDhQGGWA0v+TzF+8YNB+N+rv/3NbDcbEdKAE40eVNW2wmYyQTHIUKHCIBGZNjPyUx3IT7UjP90Gp8kEl1mBw2yE3WxEUa4dRX1OV2IaCVx/cR9MKsrB6DwzUtq1WNaf4QG/sxXnG9oc3ys9PIw+8vZdBYAiS1ApgQB8KuAPaQioKuw2BWbFCLMp3IFPSUA2hPNJhs2EPmlWFGQ60DfNAbsp3MSb2u6Fgb1twPTRefjhqL7nlaYLfzQcVmP4elqagWynAlu7+y5IAZtZQnWTH2pIhdVkRGtQA1Wi0RtCMBCCAYAQhN1sgsOmINNlQVBVIRkIq1FCoy8IgfCoy6I+6cg4x9L3Nz8e3WHbsXbx2CzJCGjAzupwL50RgCcI0CAh1WaEwcDwxF+VMBqAbKcFEwdkY0yfdGTaFCiyhNZgCFZFhj+ooaK2Bb5AEAYIZDpMkAwyeqVY0CvNjizn6fUPAzg94bonStiEesI6evQocnJyOmyPbKuuru70vLq6Ovj9/rOeO2jQoE7P9/v98LdZn6uxMdys0dTU1eInZ0bzxz7GGBEe3nu8xg/NH5vT6hrCo3bMp94qGPSosClESMhINYfQ0NCAJuvZB14EVQ3N3gAkKdwH1ozw0PBQuxr9n/9nMP5n5efRnyf0c2LFT0fhaKMfOS4les1mEULQ6wFVFfuqamCTUhEyyfjm+EnUNfkR9LYg1x6eh+UJhCD8LTh+4iTMqgp/KIigvwWhgIxq+pFjM8AXCsJqkmGTVTiV8HkaiQyXBUGfQJMIYcawTHxW2YDRfdwQQR/uuiwfFSc9+MOGf+OIByhMAfa36S666XsF+OjgSQhDAGkWAwrTbag6XouQquHA8RYMTLXgSF0rRmUb0NzUBI3hd4Q1+0MI+Dyoa/Ej1WpCilGDRwqhvtGL5qYWHKlpQLM/CJPLAgUOSJqKkIeoC8pItStIVzT0T5XR6tPQz0r0Sjejj1PGhDwLmkMa3GYZBtUHnwcwWUwoyrahX6oCjcDJ+gYY/R74ES7Az3eGU1NTE47VtqKxVcVJTYXZIOBtaYbXF4LDqSDkN8Lr8UENyVB9Ao0tfgS9PnhghL/ZiKNSEE6jhDyjB4dbgIHpQMjnQSgQwp0T+qC6OYAH1n0V/XvjC2z44GDnQxV+OaUQv974dfTnoiwJe45r0SbmK/P7oqWlFYXZgHrEgyynjJraBsiaH8aggoCqQvX7YFQDSFNk2C0SDnsDCAYDkIUGo2ZAc3MrZC0Aaip8AQ2SokEIA+yCCPiCMffaozeMxIAMC/qlKvh/G3efc5oOSVeQ4/KBdRqyXRL6u2WYZGBCLvDlEQ9G9rbDqnlx4LgHAU3DsXovGr0BGEAYjOFVEP0GGQICms+Hk8Eg0hQHVH8IckgNr18pCQhVhq9VwOiW0dTkx+BeCo5/XX9Gt+JeMvJdhg5liozYATE2gw1SwAPDqTcBuJwS+qVaIAc9ED4vvK0+GFQfhBqAWTLAoPpQU0s0tPpBTcMxKQifxwghgIpaL3xBFaGAgsJMGzw0QQ140dwkwn27WmwZN9BtRGVDEH3cxv+ozIycw846H9vDBKKgoIBXX311h+3l5eUEwGXLlnV6XmVlJQFw6dKlHfa9+OKLBMAdO3Z0+XcXL14cmU+nf/SP/tE/+icOn6qqqrPGiIR6wrJYLDFPOhF8Pl90f1fnAfiPzgWABx54AL/85S+jP2uahrq6OqSlpUGIjk83TU1NyMvLQ1VVVYfmy0RHd+95ktUb0N3jQbJ6A/+ZO0k0NzcjNzf3rMcmVMDKycnBkSMdJ/0dPXoUALq8oNTUVCiKEj3ufM4FAEVRoCixjfdut/usvk6nM+kyVATdvedJVm9Ad48HyeoNnL+7y+U6p+MSatDFyJEjsX///g7toJ988kl0f2dIkoSLLroI27dv77Dvk08+QUFBARwOxwX31dHR0dHpORIqYM2YMQOqqmL58uXRbX6/HytXrsS4ceOiQ9orKyuxd+/eDud++umnMUFr3759eO+99zBz5syeuQAdHR0dnW4joZoEx40bh5kzZ+KBBx5ATU0NCgsL8fLLL+PQoUN48cUXo8fNmjULH3zwQcyokvnz5+P555/HtGnTcN9998FoNOKpp55CVlYW7r333gvqqSgKFi9e3KEZMRnQ3XueZPUGdPd4kKzeQPe7C/JcxhL2HD6fDw899BBeffVV1NfXY/jw4XjkkUcwderU6DElJSUdAhYAHD58GL/4xS+wceNGaJqGkpISLFu2DIWFhT19GTo6Ojo6F5iEC1g6Ojo6OjqdkVB9WDo6Ojo6Ol2hBywdHR0dnaRAD1g6Ojo6OkmBHrB0dHR0dM6JeA950AOWTlyJ9w2go9NTRBbVTkbWrFkDAJ0uVdeT6AEL4deaVFZWxmSoZClIPZ6OL91LBg4ePAiPxxNd6zGZ2LlzJw4cOIDDhw9HtyVLflm/fj3mz5+PgwcPAgivm5kMvP7663A4HCgrK4u3ynnzxhtvYMqUKVi2bBkOHToUb53zYvXq1ejfvz9uuukmfPjhh/HW+e8OWHv27MGll16KyZMnY8SIERg7diz+9re/IRQKQQiR0IXQvn37MHr0aPz0pz+Nt8p5sWvXLkybNg3XXnst8vPzUVJSgrKysoRO6wi7du3ClVdeiWuuuQajR4/GiBEj8PTTT0fzS6Lzzjvv4Prrr8crr7yCf/7znwDCy5olMjt27MC4ceMwZ84cTJs2LanW1quursa0adMwa9YsmEwmWK1WWK3Ws5+YAETSffbs2XA4HDCbzZ0uLt7jnHU99+8ox48f56hRozhhwgSuWLGCK1as4Pjx4+l2u7l48WKSpKZp8ZXsBE3TWFpayoEDB1IIQSEEN2/eHG+tsxIKhfj0008zIyODkyZN4q9+9SvOnz+feXl5HDx4cEJfQyAQ4GOPPUa3281JkybxD3/4A19//XWWlJTQ6XTyjTfeiLfiGYnk488++4xpaWm0WCwcN24cv/jiC5Kkqqrx1OsUj8fD2267jUIITpo0ievXr+fx48fjrXVeLF68mEOGDOGqVatYWVkZb51zorGxkbNmzaIQgiUlJVy/fj3feustms1m/u53vyMZvpfjxX9twFq9ejVlWWZpaWl02+HDh3nDDTdQCMFNmzbF0a5rysvLOWzYMKalpfHRRx9lUVERx48fz2AwGG+1M7JhwwYWFBRwzpw53Lt3b3R7WVkZhRBcuHBhwl7DW2+9xeLiYt5zzz3cv39/9IY9cOAAhRD87W9/m5CVm/aUlpZyypQp/NOf/kQhBBctWhS9lkTyD4VCfOyxxyiE4Ny5c3nixIku80YiebelsrKSWVlZvPvuuztsb0si+be2tnLAgAEsKCjgc889x4qKCpLkwYMHmZKSwunTp8e9cvNfG7CWLl1Kl8sV/QICgQDJcC107NixHDZsWELW6CoqKrho0aJo7fiPf/wjhRB84YUX4mx2Zp566ikOGTKENTU10W1+v58kOX78eF555ZUkE+sGjvDhhx/yySefjHEnyXXr1jEzM5Nr1qwhmZju5GmvTz75hC6XiyT5/e9/nzk5OXznnXdijkkUtm/fzokTJ3Lw4MHRbevXr+fs2bN5//33c8WKFdH8k4hs2bKFVquV+/fvJ0n+5S9/YVFREYuKinjdddfxtddei7NhLJFy8KOPPuLu3buj5WGEMWPGsKSkhD6fL6555TsfsCJfRPtEXrZsGR0OB99//32SjKlprlmzhoqi8PHHH+/03J6iK3efzxf9/759+zhlyhT27t2btbW1PerXFW2927rv27cvZj8ZTveSkhJeeuml9Hq9PSvaCV2leXu2bt3KYcOG0el08uGHH+aXX37J+vr6mN/R05zNvbS0lIWFhSTJHTt2UAjB2bNns66u7ozndTddeUeeBO+9915OmTKFQggWFhbS4XBQCMHp06dz9+7dMb+jp+nKffv27ZRlmevWreOKFSsoSRJnzJjB2bNnMzMzk0IIrly5Mg7GpzmXvK5pGlVV5c9//nO6XK5oHo9XXvnOBqxIv0P7J49IQr/zzjtUFIUPP/xwdFvkCzx27Bh//OMfMyMjIy61uK7cu2LNmjW0WCy8//77u9nszJyvdySgjRo1ijfccEN0Wzw4F/dI/li4cCGFELziiis4e/Zs3n777XS73bzxxht7SjeGs7lH0nTbtm10OBysrq4mSd5+++1UFCVa229tbe0Z4VOc7R6tqKjgjBkzKITg9773PW7YsIEVFRU8cuQIH3nkEUqSxJkzZ/aoc4Szpfn27duZnp7OW265hSNGjOBDDz3E5uZmkuSuXbs4depUpqWlcc+ePT2pTfL871OSfOihhyiE4D/+8Y9uNDs738mAtWXLFg4dOpRCCE6ZMoVfffUVyY6FYXFxMUeNGsUvv/yyw/5Vq1ZRlmU+99xznZ4bb/e222pqajhnzhyazeZojbOnC/7z8W5LVVUVbTYbf/3rX5OMT4fuubpHfl63bh3XrFnD2tra6LYHHniAkiTxiSeeINlzNf7zSfe1a9dy4MCB0abupqYmWq1WXnHFFbztttv4k5/8JBrMEsV71apVvPXWW1lWVtZh380330yXyxUtRBPtHp04cSIlSWJ6ejo/+uijmH0bN25kamoqFyxYQDIx80tbr61bt1IIwbVr157x+O7mOxew/vWvf3Hw4MHs168fZ86cSSEEly5dGtNpGykU169fTyEEH3300WhzVGTfvn372Lt3b95xxx09lpnOxb0r3n33Xfbq1YvXX399D5jG8m28t2zZQiEE33777R4w7cj5uJ/pJj1w4AALCws5YsSImCbb7uRc3SPeW7dupdVqZVVVVXTfTTfdRIPBQKPRyMWLF7OlpSUhvCPOjY2NHfoOI8d9/PHHFELEtJIkgnukDNmwYUN0JG/kSSrSYlNTU8OrrrqKeXl5CZdfOmP37t1MSUnhXXfdRVIPWBeMr776ioqi8K9//StJ8rLLLuOAAQNYVlbW6fE/+MEPmJubyzfffJNkbA1/6NChnDVrFsme+YLO172tV0tLS/Sx/d133yVJfvDBB1y/fn3McYniHeHZZ5+lLMvR5pJQKMTy8nJu3769273Jb+dOxtaML7nkEo4fP77HCqD27pdffvkZ3VevXs1BgwaxoaGB77//Pi+99FIaDAY6nU4WFhZy69atJBM3zds33Z84cYJut7tHm8LP1/3mm2+mEILz5s0jyZjgMGPGDBYVFbGxsbH7xfnt8npNTQ379u3LyZMns6mpqbtVu+Q7FbAiwaZtjSxSg7/77rujGaNtIVNRUUG73c7x48fz888/j27/+OOP6XQ6uWTJkoRy76wwiVzP3r17WVxczIsuuohLlixhXl4e09LSunW047fxJslrr72WEyZMIBluHnz11Vc5atQoFhcX8+TJk93m/W3d2z91v/322zQajbznnnu60fg05+Me8X/33XdpMpl4zTXX0GAwcOLEidyyZQvXrl0bLVS7u8/2Qqb5s88+SyEEn3/++W40Ps1/Ur5UVVXR6XR2aEX497//zf79+/OWW27pkcrwhUj36dOnc+jQoWxpadGfsM6X1atXc968efzNb37DLVu2RLe3TchIQs+ePZtut5t///vfY35H5Et86aWX2KdPH+bn5/Ppp5/mCy+8wGuvvZZ5eXnctWtXQrp3RkVFBW+99dZoM8SPfvSjmOafRPLWNI3Nzc3MycnhjTfeyE2bNvGHP/whhRC86qqrePjw4QvmfaHd21JdXc0333yTkyZNYlFRUbQ/NBHdy8rKOHz4cA4ZMoTPPPMMq6qqovfAxIkTOXfu3AsasLorzY8dO8Z169Zx+PDhnDRpUreMjr2Q5cvq1auZk5PD1NRUzp07l48//jivvvpqpqSkdEtTeHeku6ZpfPTRRymEiI72jUfQSrqAdezYMU6dOpU2m43FxcVMSUmhoihcvHhxdMhl+8mQhw8fpt1u5/Tp06MFuKqqMQm+efNmTpw4kS6Xi2lpaRw+fDg//PDDhHVvz9atW3nVVVdRkiSOGjXqnJu04un99ddf02q1sri4mHa7nYMGDYo2Zya6++bNmzl37lzOmDGDDoeDI0aM4KeffpqQ7pFmqEAgwC1btvDLL7+MBqbIeRdySkF3pvnPfvYz3nTTTbTb7SwuLo7OR0xE97blS1lZGadOnUq3283MzEyOGjUqJpgkmntnLFu2jEKImMUWepqkC1gvv/wyU1NTuWrVKlZXV/PkyZO89dZb6XA4OH/+/A7HR76Yxx57jJIkcfny5TEZqe3/vV4vjx8/fsELnu5yb8umTZtoMpn4zDPPJI33e++9RyEEMzMzu8W7O93ffPNNFhYWsqSkhCtWrEga956oFXdXmpeWltJut3PcuHHd1gzYneWL3+9nfX09d+7cmRTuESIB7OjRo3zppZe6xf1cSbqANWnSJI4fPz5mW2trK2fPnk0hBN966y2SHWsJgUCA/fv357hx46Kzz8vLy2PadLt7NGB3upPdNyT8Qnu37VP785//3GFWfbK4l5eXd2ueuZDuX3/9dYf8kgze7dN8586d3Tr1QS9fOndPlJVQkiZgqapKn8/HqVOncuLEidHtkeaOzz77jKNHj2ZBQUGHxG0/jH3hwoVcuXIli4uLeffdd3f7hMlkde9O7+4eadSd7t099Ls73T0eT1J6J3Oa6+XLhSMhA9aePXu4YMEC3nXXXXzwwQejUZ8kr7vuOg4aNCjaud22trB8+XIKIbhs2TKSHZ84gsEgx4wZQ4PBQCEEc3JyuGHDBt09ib119/i4J6u37h4/9wtBQgUsv9/P++67jxaLhRdffDEHDBhAIQQLCgqicwdKS0sphOCKFSuiX0gk8Q8dOsTJkyczPz+/Q6fy559/zgcffJB2u50Oh4O///3vdfck9tbd9fyiuyeH+4UkYQJWc3MzFy1axIKCAi5dupT79u2jqqrctGkTc3Nzedlll9Hj8TAUCnHEiBG8/PLLeejQoQ6/5+GHH6bb7Y6215LhL+bOO++MLvYZmaT63+6erN66e3zck9Vbd4+f+4UmYQLWN998w/z8fM6bN48NDQ0x++bNm8eMjIzo6gevvPIKhRB86qmnom2skVrDjh07KEkS161bR/J0O+62bdui62bp7sntrbvr+UV3Tw73C03CBCxN07h8+fKYbZHRY2vXrqUsy9H1uBoaGjh9+nRmZ2d3mPC2bds2CiH48ssv94w4k9c9Wb1J3Z3U88v5oLvHx/1CkzABizwd8dt3CD7xxBM0GAwxb6qtqqpiVlYWhw4dGu0cPHLkCO+880727duXx44d6zlxJq97snqTurueX84P3T0+7heShApY7Yl0HC5YsIDZ2dnRWkXkS3v77bdZXFxMIQRHjhzJSy65hEajkUuWLGEoFIrr3IFkdU9Wb91dzy+6e3K4fxsESSLBufjii9GvXz+UlpZCVVUYDIbovtraWrz44osoLy9HU1MTFixYgEsuuSSOtrEkq3uyegO6ezxIVm9Ad08q4h0xz0ZNTQ0tFkv0xXhkuHYRea13IpOs7snqTeru8SBZvUndPdmQ4h0wz8bu3bvh8/kwZswYAMCxY8fw2muvYerUqThx4kSc7c5Msronqzegu8eDZPUGdPdkI2EDFk+1VH766adwuVzIzc3F5s2bMX/+fMyZMwckIUlS9LhEIlndk9Ub0N3jQbJ6A7p70tJzD3P/GdOnT2f//v05d+5cOhwODhgwgBs3boy31jmRrO7J6k3q7vEgWb1J3T3ZSOiA5fV6OXLkSAoh6HQ6o+tgJQPJ6p6s3qTuHg+S1ZvU3ZORhB8luHDhQgghsGTJEiiKEm+d8yJZ3ZPVG9Dd40GyegO6e7KR8AFL0zRIUsJ2tZ2RZHVPVm9Ad48HyeoN6O7JRsIHLB0dHR0dHSCBRwnq6Ojo6Oi0RQ9YOjo6OjpJgR6wdHR0dHSSAj1g6ejo6OgkBXrA0tHR0dFJCvSApaOjo6OTFOgBS0dHR0cnKdADlo6Ojo5OUqAHLB0dHR2dpEAPWDo6Ojo6SYEesHR0dHR0koL/D9FQT3l1SBpyAAAAAElFTkSuQmCC", "text/plain": [ "
" ] @@ -251,7 +251,7 @@ "outputs": [ { "data": { - "image/png": "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\n", + "image/png": "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", "text/plain": [ "
" ] @@ -266,7 +266,7 @@ "normalized_mask = rdtools.normalized_filter(df['normalized'])\n", "poa_mask = rdtools.poa_filter(df['poa'])\n", "tcell_mask = rdtools.tcell_filter(df['Tcell'])\n", - "# Note: This clipping mask may be disabled when you are sure the system is not \n", + "# Note: This clipping mask may be disabled when you are sure the system is not\n", "# experiencing clipping due to high DC/AC ratio\n", "clip_mask = rdtools.clip_filter(df['power'], 'quantile')\n", "\n", @@ -300,10 +300,8 @@ "name": "stderr", "output_type": "stream", "text": [ - "/Users/mdecegli/opt/anaconda3/envs/tempY/lib/python3.10/site-packages/rdtools/filtering.py:642: UserWarning: The XGBoost filter is an experimental clipping filter that is still under development. The API, results, and default behaviors may change in future releases (including MINOR and PATCH). Use at your own risk!\n", - " warnings.warn(\"The XGBoost filter is an experimental clipping filter \"\n", - "/Users/mdecegli/opt/anaconda3/envs/tempY/lib/python3.10/site-packages/rdtools/filtering.py:416: UserWarning: The logic-based filter is an experimental clipping filter that is still under development. The API, results, and default behaviors may change in future releases (including MINOR and PATCH). Use at your own risk!\n", - " warnings.warn(\"The logic-based filter is an experimental clipping filter \"\n" + "c:\\Users\\mspringe\\.conda\\envs\\rdtools3-nb\\lib\\site-packages\\rdtools\\filtering.py:826: UserWarning: The XGBoost filter is an experimental clipping filter that is still under development. The API, results, and default behaviors may change in future releases (including MINOR and PATCH). Use at your own risk!\n", + " warnings.warn(\n" ] } ], @@ -323,88 +321,6 @@ "execution_count": 9, "metadata": {}, "outputs": [ - { - "data": { - "text/html": [ - " \n", - " " - ] - }, - "metadata": {}, - "output_type": "display_data" - }, { "data": { "application/vnd.plotly.v1+json": { @@ -5934,25 +5850,25 @@ 94.197, 27.059, 79.618, - 67.46300000000001, + 67.463, 40.778, - 169.49900000000002, - 151.93200000000002, - 150.47799999999998, + 169.499, + 151.932, + 150.478, 209.925, 42.622, 104.47, 165.442, 67.942, - 50.571999999999996, + 50.572, 128.297, 124.697, 109.259, - 20.237000000000002, + 20.237, 0.556, 82.806, - 110.70200000000001, - 95.23200000000001, + 110.702, + 95.232, 104.321, 123.959, 128.264, @@ -5961,16 +5877,16 @@ 93.861, 133.208, 133.72, - 91.74700000000001, + 91.747, 136.616, 114.572, - 123.34200000000001, + 123.342, 125.693, - 152.42700000000002, + 152.427, 69.164, - 13.052999999999999, + 13.053, 85.256, - 45.523999999999994, + 45.524, 167.98, 152.334, 146.173, @@ -5978,39 +5894,39 @@ 181.479, 236.137, 258.202, - 205.06400000000002, + 205.064, 249.933, 229.574, 207.085, - 238.03599999999997, + 238.036, 124.152, 220.435, 163.289, 76.266, 218.112, - 214.50599999999997, - 106.34200000000001, + 214.506, + 106.342, 58.313, 200.269, 49.003, - 174.21200000000002, - 170.68900000000002, + 174.212, + 170.689, 160.465, 140.541, 118.305, 96.531, 33.654, 58.676, - 45.17100000000001, + 45.171, 24.229, 39.969, 31.975, 28.143, 26.805, 15.784, - 17.555999999999997, - 7.8389999999999995, - 15.050999999999998, + 17.556, + 7.839, + 15.051, 7.058, 5.285, 3.512, @@ -6018,13 +5934,13 @@ 5.235, 4.965, -4.763, - -3.0060000000000002, + -3.006, 6.815, 3.892, 6.865, 10.52, 10.13, - 21.750999999999998, + 21.751, 9.953, 31.54, 3.859, @@ -6034,45 +5950,45 @@ 28.595, 14.6, 18.283, - 13.857000000000001, + 13.857, 6.942, 9.689, 7.553, - 3.9410000000000003, + 3.941, 3.897, 5.4, - 7.2829999999999995, - 7.861000000000001, + 7.283, + 7.861, 5.433, 5.472, - 5.2075000000000005, - 4.9430000000000005, + 5.2075, + 4.943, -0.815, -0.193, 5.307, - 4.5360000000000005, + 4.536, 7.146, 2.009, 7.058, 4.96, 6.265, - 5.7860000000000005, + 5.786, 2.02, 7.443, 2.824, - 5.053999999999999, + 5.054, 7.3, 4.96, - 5.683999999999999, - 6.4079999999999995, - 3.1489999999999996, - 1.9709999999999999, + 5.684, + 6.408, + 3.149, + 1.971, 2.67, 2.081, -1.492, -1.669, -2.219, - -1.4809999999999999, + -1.481, -0.672, -3.628, -5.638, @@ -6084,34 +6000,34 @@ -0.738, 0.759, -1.294, - 2.8569999999999998, - 1.5959999999999999, + 2.857, + 1.596, 2.51, 1.514, 1.8, 2.736, -1.47, 0.754, - 4.6080000000000005, - 1.2990000000000002, + 4.608, + 1.299, 3.589, 3.033, 3.2645, - 3.4960000000000004, + 3.496, 3.49, 1.855, - 5.702999999999999, - 3.5669999999999997, - 1.9269999999999998, + 5.703, + 3.567, + 1.927, 6.683, 1.585, - 5.587999999999999, + 5.588, 2.516, - 6.7379999999999995, + 6.738, 1.249, 2.989, 9.568, - 10.504000000000001, + 10.504, 9.524, 11.17, 15.503, @@ -6120,49 +6036,49 @@ 8.037, 6.54, 16.02, - 13.824000000000002, + 13.824, 16.202, 5.318, 15.442, - 22.791999999999998, - 17.875999999999998, - 20.930999999999997, + 22.792, + 17.876, + 20.931, 12.513, - 6.082999999999999, - 20.881999999999998, - 12.029000000000002, + 6.083, + 20.882, + 12.029, 18.316, 0.589, 8.913, 17.76, 19.72, 19.384, - 29.535999999999998, + 29.536, 28.545, - 30.581999999999997, + 30.582, 25.886, - 23.078000000000003, + 23.078, 32.509, - 6.457000000000001, - 0.5720000000000001, + 6.457, + 0.572, 41.857, 33.819, 19.775, 45.342, - 48.083999999999996, + 48.084, 17.435, 31.375, 51.618, 53.6, - 59.17100000000001, + 59.171, 20.425, 39.649, 33.643, 67.33, 42.82, - 9.363999999999999, + 9.364, 86.836, - 73.35300000000001, + 73.353, 75.979, 83.478, 97.225, @@ -6170,14 +6086,14 @@ 91.345, 123.227, 78.204, - 123.29299999999999, + 123.293, 146.674, 3.011, 76.205, 150.632, - 15.970999999999998, + 15.971, 65.827, - 220.91400000000002, + 220.914, 166.02, 280.02, 303.121, @@ -6185,15 +6101,15 @@ 148.072, 145.898, 11.478, - 497.16900000000004, + 497.169, 207.266, 596.558, - 640.1990000000001, + 640.199, 630.46, 360.399, 528.313, - 725.6310000000001, - 451.61699999999996, + 725.631, + 451.617, 93.244, 718.199, 649.217, @@ -6207,9 +6123,9 @@ 71.206, 540.865, 415.04, - 773.0989999999999, - 625.9730000000001, - 669.1460000000001, + 773.099, + 625.973, + 669.146, 721.442, 306.253, 482.728, @@ -6221,7 +6137,7 @@ 746.034, 567.456, 609.528, - 374.05699999999996, + 374.057, 734.33, 626.099, 229.238, @@ -6229,9 +6145,9 @@ 571.409, 340.298, 192.44, - 482.45300000000003, + 482.453, 726.341, - 377.64099999999996, + 377.641, 125.61, 31.689, 625.604, @@ -6239,39 +6155,39 @@ 666.823, 225.555, 526.496, - 721.1610000000001, + 721.161, 425.957, 742.324, 789.455, 705.828, - 174.15099999999998, + 174.151, 610.145, 445.699, 87.992, 406.027, - 474.76199999999994, + 474.762, 674.541, 390.348, - 669.0360000000001, + 669.036, 227.02, 404.64, - 473.68300000000005, + 473.683, 731.186, 676.055, - 233.62599999999998, - 734.7919999999999, + 233.626, + 734.792, 550.967, - 412.38599999999997, - 445.85900000000004, + 412.386, + 445.859, 587.132, 662.039, 559.451, - 668.7389999999999, - 772.1410000000001, - 342.68800000000005, - 417.68199999999996, - 766.5360000000001, - 463.87199999999996, + 668.739, + 772.141, + 342.688, + 417.682, + 766.536, + 463.872, 615.457, 565.045, 524.756, @@ -6279,21 +6195,21 @@ 286.659, 467.539, 209.87, - 31.291999999999998, + 31.292, 592.489, 119.499, - 505.75699999999995, + 505.757, 564.109, - 749.7280000000001, + 749.728, 494.086, - 342.36800000000005, + 342.368, 711.681, 607.965, 641.663, 236.472, 285.151, 610.508, - 762.5889999999999, + 762.589, 141.582, 653.434, 776.633, @@ -6306,7 +6222,7 @@ 166.025, 658.95, 409.661, - 245.53400000000002, + 245.534, 615.48, 786.581, 732.54, @@ -6314,13 +6230,13 @@ 567.307, 180.703, 489.973, - 122.53299999999999, + 122.533, 90.47, 561.808, - 633.8290000000001, + 633.829, 611.549, 629.689, - 690.7660000000001, + 690.766, 712.765, 766.602, 488.459, @@ -6330,43 +6246,43 @@ 184.48, 602.58, 438.465, - 454.67800000000005, + 454.678, 277.62, 594.394, 694.735, 282.844, 675.158, 562.215, - 578.9069999999999, + 578.907, 493.585, - 629.5840000000001, + 629.584, 750.345, - 767.5269999999999, + 767.527, 275.863, 759.847, 721.21, 380.961, - 0.46799999999999997, + 0.468, 377.454, 713.409, - 204.59599999999998, - 427.26099999999997, + 204.596, + 427.261, 655.096, 767.423, 765.419, 338.305, - 348.51800000000003, - 289.58799999999997, + 348.518, + 289.588, 479.64, 440.32, 502.399, - 417.68800000000005, - 744.8889999999999, - 745.4010000000001, - 742.5269999999999, - 738.6569999999999, + 417.688, + 744.889, + 745.401, + 742.527, + 738.657, 599.448, - 484.80400000000003, + 484.804, 306.132, 257.222, 46.058, @@ -6386,7 +6302,7 @@ 280.02, 460.806, 525.819, - 501.61199999999997, + 501.612, 657.948, 638.514, 20.276, @@ -6395,45 +6311,45 @@ 576.606, 376.48, 15.057, - 631.2080000000001, + 631.208, 439.17, 622.24, - 498.62800000000004, + 498.628, 566.052, 513.492, - 390.30400000000003, + 390.304, 406.594, 603.599, 479.535, 409.441, - 408.26199999999994, + 408.262, 490.832, 494.895, 581.842, 575.433, - 403.07099999999997, - 333.52099999999996, + 403.071, + 333.521, 299.559, 386.72, - 512.7330000000001, + 512.733, 555.614, 551.65, - 411.42800000000005, + 411.428, 431.099, 541.746, 535.927, 435.608, 443.811, - 413.43699999999995, - 232.15599999999998, + 413.437, + 232.156, 463.569, 338.79, - 497.37300000000005, + 497.373, 333.819, - 404.93199999999996, - 337.07199999999995, + 404.932, + 337.072, 322.307, - 258.95599999999996, + 258.956, 470.126, 455.273, 397.852, @@ -6446,8 +6362,8 @@ 207.938, 358.907, 197.731, - 365.55199999999996, - 380.57599999999996, + 365.552, + 380.576, 347.219, 73.485, 211.373, @@ -6455,67 +6371,67 @@ 59.403, 90.756, 250.891, - 269.64799999999997, - 223.55700000000002, - 219.11900000000003, + 269.648, + 223.557, + 219.119, 224.762, 245.105, - 202.46599999999998, + 202.466, 60.674, 240.998, 185.327, 52.675, 189.264, 119.566, - 90.67299999999999, - 121.70200000000001, - 88.37799999999999, + 90.673, + 121.702, + 88.378, 116.037, - 88.76299999999999, - 102.43799999999999, + 88.763, + 102.438, 107.85, 97.764, - 103.95200000000001, - 92.25299999999999, + 103.952, + 92.253, 80.791, 61.445, 44.213, 0.429, 39.936, - 51.13399999999999, + 51.134, 54.354, - 64.15899999999999, - 26.226999999999997, + 64.159, + 26.227, 0.335, - 43.156000000000006, + 43.156, 41.059, 40.954, 48.133, 37.183, 25.748, 35.311, - 28.848000000000003, + 28.848, 20.342, 24.763, 29.96, 28.506, 23.535, 31.386, - 21.706999999999997, - 22.851999999999997, + 21.707, + 22.852, 23.155, - 23.618000000000002, + 23.618, 19.059, - 23.089000000000002, + 23.089, 14.897, 3.859, - 12.017999999999999, + 12.018, 15.013, 13.515, 5.769, 6.727, - 2.9619999999999997, - 10.152000000000001, + 2.962, + 10.152, 12.645, 9.106, 0.451, @@ -6526,12 +6442,12 @@ 6.215, 0.589, 3.782, - -1.0190000000000001, + -1.019, 0.09050000000000002, 1.2, 0.748, -2.395, - -1.7790000000000001, + -1.779, 0.297, -1.024, 1.238, @@ -6542,25 +6458,25 @@ 4.591, 8.467, 7.245, - 12.232999999999999, + 12.233, 13.548, 19.56, - 30.499000000000002, + 30.499, 43.558, 40.36, 24.647, - 29.668000000000003, - 46.983000000000004, - 43.696000000000005, - 0.6659999999999999, + 29.668, + 46.983, + 43.696, + 0.666, 0.677, 16.059, 31.441, 62.458, 69.428, - 51.876999999999995, - 52.696999999999996, - 93.93799999999999, + 51.877, + 52.697, + 93.938, 62.965, 77.4, 75.638, @@ -6568,10 +6484,10 @@ 79.387, 41.852, 92.044, - 87.34299999999999, + 87.343, 63.438, 84.116, - 80.65899999999999, + 80.659, 117.98, 121.867, 153.159, @@ -6579,9 +6495,9 @@ 48.188, 226.486, 162.739, - 42.968999999999994, + 42.969, 121.735, - 112.87100000000001, + 112.871, 125.021, 129.31, 11.148, @@ -6592,34 +6508,34 @@ 130.158, 142.512, 78.473, - 100.30799999999999, - 213.03599999999997, - 224.52599999999998, + 100.308, + 213.036, + 224.526, 113.79, 131.892, 130.918, - 202.50400000000002, + 202.504, 215.15, - 141.59799999999998, + 141.598, 164.55, 116.45, - 167.91400000000002, + 167.914, 160.74, 152.179, 9.469, - 124.01899999999999, - 247.24599999999998, + 124.019, + 247.246, 227.889, 160.939, - 138.43200000000002, + 138.432, 138.493, 36.935, 107.619, 116.251, 92.897, 11.561, - 5.7860000000000005, - 126.84899999999999, + 5.786, + 126.849, 134.314, 134.81, 116.18, @@ -6627,16 +6543,16 @@ 118.255, 0.638, 71.184, - 118.89399999999999, + 118.894, 145.16, 10.074, 60.41, - 148.17700000000002, + 148.177, 118.723, 157.079, 157.239, 83.5, - 171.43200000000002, + 171.432, 168.602, 171.861, 94.934, @@ -6650,7 +6566,7 @@ 259.777, 306.815, 29.987, - 12.359000000000002, + 12.359, 152.091, 86.324, 302.46, @@ -6658,20 +6574,20 @@ 17.127, 260.9, 315.48, - 25.534000000000002, + 25.534, 156.336, 240.37, 171.845, - 189.40099999999998, - 197.78099999999998, + 189.401, + 197.781, 171.856, 170.391, 160.482, - 264.54400000000004, + 264.544, 171.696, 281.435, - 312.66700000000003, - 355.75800000000004, + 312.667, + 355.758, 436.912, 318.183, 316.025, @@ -6680,7 +6596,7 @@ 123.6285, 0.578, 299.459, - 346.64599999999996, + 346.646, 326.205, 101.8, 262.172, @@ -6701,13 +6617,13 @@ 400.401, 392.319, 455.46, - 485.55800000000005, + 485.558, 366.829, 378.236, - 450.25199999999995, + 450.252, 408.224, - 400.97900000000004, - 345.36300000000006, + 400.979, + 345.363, 357.222, 446.789, 129.376, @@ -6718,20 +6634,20 @@ 609.198, 623.765, 618.056, - 457.30400000000003, + 457.304, 51.145, 336.059, 189.032, - 136.47799999999998, + 136.478, 245.11, 580.383, - 432.11699999999996, + 432.117, 622.064, 579.986, 598.44, - 264.58799999999997, - 522.5930000000001, - 615.1709999999999, + 264.588, + 522.593, + 615.171, 339.324, 324.14, 107.206, @@ -6741,32 +6657,32 @@ 445.974, 305.466, 337.7, - 336.92400000000004, + 336.924, 403.566, 217.308, 156.782, 334.788, - 354.50199999999995, - 382.55199999999996, - 404.76099999999997, + 354.502, + 382.552, + 404.761, 437.21, 446.305, 463.608, 121.509, - 471.50300000000004, - 451.62800000000004, + 471.503, + 451.628, 441.339, - 111.90799999999999, + 111.908, 191.482, 473.523, - 34.788000000000004, + 34.788, 250.263, 353.577, 457.86, 268.828, 415.051, - 394.08099999999996, - 361.36199999999997, + 394.081, + 361.362, 30.516, 128.154, 36.754, @@ -6775,39 +6691,39 @@ 393.376, 422.18, 216.13, - 488.54699999999997, + 488.547, 328.908, 538.602, 540.529, 518.645, 426.909, - 161.97899999999998, + 161.979, 67.997, 204.938, - 0.46799999999999997, + 0.468, 181.033, 44.153, - 262.33099999999996, + 262.331, 462.909, 371.844, 560.442, 563.487, - 378.69800000000004, + 378.698, 657.42, 682.689, 531.297, 731.153, - 747.9939999999999, + 747.994, 758.295, - 465.73900000000003, + 465.739, 608.818, 616.25, 543.535, 587.573, 746.965, - 234.69400000000002, + 234.694, 767.659, - 672.9169999999999, + 672.917, 394.565, 516.14, 487.171, @@ -6821,34 +6737,34 @@ 443.833, 661.554, 511.45, - 748.9689999999999, + 748.969, 593.987, 650.653, 572.906, 515.48, 725.835, - 666.7510000000001, + 666.751, 436.164, 474.635, 670.187, - 252.03599999999997, + 252.036, 562.187, 354.684, 346.096, - 659.0110000000001, + 659.011, 339.528, - 529.3480000000001, - 486.85699999999997, + 529.348, + 486.857, 493.469, 491.162, 662.936, 619.752, 428.853, - 545.9630000000001, - 757.0010000000001, + 545.963, + 757.001, 714.23, 666.663, - 472.69699999999995, + 472.697, 517.974, 261.241, 520.495, @@ -6859,7 +6775,7 @@ 212.827, 595.341, 662.903, - 572.8290000000001, + 572.829, 371.376, 741.388, 649.332, @@ -6868,20 +6784,20 @@ 764.285, 697.548, 697.201, - 680.5039999999999, + 680.504, 600.4304999999999, 520.357, 759.798, - 600.9780000000001, - 448.68300000000005, + 600.978, + 448.683, 730.454, - 720.4839999999999, - 635.1669999999999, + 720.484, + 635.167, 688.569, - 419.22900000000004, + 419.229, 541.592, 420.528, - 442.19800000000004, + 442.198, 464.07, 293.475, 208.896, @@ -6895,14 +6811,14 @@ 619.476, 352.163, 563.663, - 549.3430000000001, + 549.343, 311.577, 516.405, 512.375, 490.849, 301.293, 371.608, - 238.36599999999999, + 238.366, 0.385, 95.391, 130.136, @@ -6920,13 +6836,13 @@ 354.745, 217.011, 260.47, - 198.63400000000001, + 198.634, 314.434, 304.172, 161.715, 218.31, 317.715, - 177.46599999999998, + 177.466, 311.687, 223.782, 293.8, @@ -6937,16 +6853,16 @@ 94.99, 279.541, 229.761, - 155.53799999999998, + 155.538, 295.848, 303.952, 306.594, 301.133, - 129.28799999999998, + 129.288, 176.497, 300.384, 302.933, - 204.92700000000002, + 204.927, 250.065, 299.988, 199.796, @@ -6956,41 +6872,41 @@ 195.688, 148.502, 210.834, - 246.49200000000002, + 246.492, 196.988, 247.544, - 304.02299999999997, + 304.023, 229.238, - 127.43299999999999, + 127.433, 128.22, 57.646, - 177.93900000000002, + 177.939, 133.219, 273.232, - 196.61900000000003, + 196.619, 166.136, 219.642, - 175.03799999999998, + 175.038, 222.604, 181.551, 180.84, - 178.81400000000002, - 200.59400000000002, + 178.814, + 200.594, 50.28, - 184.06099999999998, + 184.061, 218.993, 162.656, 150.153, - 199.12900000000002, - 106.64399999999999, + 199.129, + 106.644, 195.424, - 153.89700000000002, + 153.897, 204.095, 78.672, 159.1, - 141.16299999999998, + 141.163, 189.511, - 183.84099999999998, + 183.841, 179.128, 176.387, 176.541, @@ -7020,39 +6936,39 @@ 106.375, 0.462, 0.517, - 111.86399999999999, - 111.07600000000001, + 111.864, + 111.076, 56.199, 109.551, - 99.81200000000001, + 99.812, 102.46, 106.088, 76.657, - 92.03299999999999, + 92.033, 80.94, 76.156, 83.5, - 54.608000000000004, + 54.608, 86.28, 80.626, 66.24, 77.604, - 78.86399999999999, + 78.864, 56.705, 76.882, 81.182, - 51.111999999999995, + 51.112, 82.646, - 87.98700000000001, + 87.987, 85.069, 0.484, 0.517, 45.381, 90.376, - 91.76899999999999, + 91.769, 68.999, 35.278, - 88.09700000000001, + 88.097, 98.227, 96.944, 90.431, @@ -7073,28 +6989,28 @@ 0.49, 168.101, 189.5, - 143.72899999999998, - 194.19099999999997, - 189.40099999999998, + 143.729, + 194.191, + 189.401, 195.947, 213.372, 36.5, 44.268, 288.944, 315.238, - 224.83900000000003, + 224.839, 296.426, 244.923, 69.544, 16.02, 194.918, 68.024, - 234.93099999999998, + 234.931, 214.704, 334.975, 329.546, 302.587, - 26.238000000000003, + 26.238, 290.634, 149.944, 233.835, @@ -7106,24 +7022,24 @@ 28.435, 126.855, 160.751, - 121.23899999999999, + 121.239, 132.894, 113.515, 105.819, - 99.20700000000001, + 99.207, 8.291, 50.545, - 56.788000000000004, + 56.788, 54.982, 39.87, 44.676, 41.631, - 41.196000000000005, + 41.196, 36.043, 38.741, 18.377, 37.855, - 31.066999999999997, + 31.067, 30.725, 25.864, 35.449, @@ -7133,29 +7049,29 @@ 0.534, 19.808, 20.166, - 20.991999999999997, - 14.914000000000001, + 20.992, + 14.914, 20.314, - 21.035999999999998, + 21.036, 14.308, - 14.770999999999999, + 14.771, 9.205, 12.706, 3.077, 6.303, 11.401, - 11.312999999999999, + 11.313, 5.197, 4.09, 9.43, 7.691, 5.676, - 0.14300000000000002, - 3.5839999999999996, - 0.5720000000000001, + 0.143, + 3.584, + 0.572, -5.148, 0.016, - -9.177999999999999, + -9.178, 2.637, 0.413, 3.1239999999999997, @@ -7166,49 +7082,49 @@ 6.034, 11.77, 8.693, - 15.155999999999999, + 15.156, 16.125, 16.257, 14.38, 20.893, - 23.089000000000002, + 23.089, 30.439, - 29.221999999999998, + 29.222, 33.77, 33.478, 24.625, 16.516, - 14.902999999999999, - 20.182000000000002, + 14.903, + 20.182, 42.22, 29.2, 15.31, 45.078, - 43.36600000000001, + 43.366, 46.542, 29.261, 48.018, 39.506, 36.814, 54.051, - 47.108999999999995, - 53.153999999999996, + 47.109, + 53.154, 0.517, 58.863, 60.878, 39.589, - 0.5670000000000001, + 0.567, 42.386, 32.927, 34.529, - 38.211999999999996, - 56.93600000000001, + 38.212, + 56.936, 43.503, 55.235, 50.467, - 50.556000000000004, + 50.556, 16.747, - 20.898000000000003, + 20.898, 61.027, 46.658, 57.173, @@ -7218,18 +7134,18 @@ 71.421, 83.77, 26.783, - 41.461000000000006, + 41.461, 78.044, 74.124, - 59.63399999999999, + 59.634, 115.508, 118.156, 107.745, - 79.59100000000001, + 79.591, 126.271, - 122.63799999999999, - 188.74099999999999, - 166.05900000000003, + 122.638, + 188.741, + 166.059, 138.108, 126.805, 122.39, @@ -7238,25 +7154,25 @@ 100.264, 136.451, 158.615, - 121.37700000000001, + 121.377, 125.346, 167.886, 163.036, 172.555, 116.609, 119.758, - 82.70100000000001, + 82.701, 158.208, 125.814, 124.834, - 156.18200000000002, + 156.182, 89.572, 148.832, 146.68, 105.83, - 119.59899999999999, + 119.599, 35.113, - 90.40899999999999, + 90.409, 117.215, 33.467, 67.738, @@ -7264,21 +7180,21 @@ 92.809, 108.742, 107.195, - 98.84899999999999, + 98.849, 99.587, 113.801, - 117.41799999999999, + 117.418, 115.057, - 110.70200000000001, + 110.702, 48.915, 88.851, - 114.15899999999999, + 114.159, 143.404, 159.689, 106.71, 136.847, 85.322, - 169.53799999999998, + 169.538, 120.303, 46.845, 134.782, @@ -7303,12 +7219,12 @@ 121.603, 260.889, 248.067, - 235.44299999999998, - 229.06799999999998, - 167.58900000000003, - 167.89700000000002, + 235.443, + 229.068, + 167.589, + 167.897, 225.467, - 144.08700000000002, + 144.087, 126.579, 203.523, 270.215, @@ -7320,9 +7236,9 @@ 150.809, 356.281, 501.089, - 540.1659999999999, - 598.1759999999999, - 477.20599999999996, + 540.166, + 598.176, + 477.206, 603.368, 338.476, 31.138, @@ -7336,7 +7252,7 @@ 538.3, 680.074, 689.962, - 594.3330000000001, + 594.333, 649.607, 619.317, 597.389, @@ -7347,10 +7263,10 @@ 551.612, 286.203, 377.162, - 325.07599999999996, + 325.076, 300.252, - 294.16900000000004, - 221.92700000000002, + 294.169, + 221.927, 138.68, 70.925, 275.357, @@ -7358,40 +7274,40 @@ 255.422, 218.519, 71.25, - 204.33700000000002, - 228.15900000000002, + 204.337, + 228.159, 461.527, 470.374, 384.898, 347.764, - 341.87300000000005, + 341.873, 441.509, 522.923, - 507.12300000000005, + 507.123, 41.841, - 446.00699999999995, + 446.007, 166.46, 587.512, 587.754, 549.63, - 393.93199999999996, + 393.932, 578.258, 596.569, 105.125, - 712.2260000000001, + 712.226, 503.555, 469.895, 526.391, 528.66, - 756.0369999999999, - 756.1419999999999, - 168.28799999999998, + 756.037, + 756.142, + 168.288, 626.887, 589.665, - 739.5210000000001, - 659.7919999999999, + 739.521, + 659.792, 518.381, - 412.38599999999997, + 412.386, 631.996, 601.595, 677.068, @@ -7403,61 +7319,61 @@ 445.996, 736.681, 714.835, - 463.81699999999995, - 379.00699999999995, + 463.817, + 379.007, 669.933, 504.931, 597.02, 179.035, - 628.4119999999999, + 628.412, 782.414, 749.073, 552.085, 628.77, - 508.19599999999997, - 788.8330000000001, + 508.196, + 788.833, 734.456, 98.26, 784.115, 328.495, 471.029, - 5.6370000000000005, + 5.637, 515.656, - 310.97700000000003, + 310.977, 44.037, 74.565, 30.621, 455.251, - 384.51199999999994, - 505.05300000000005, + 384.512, + 505.053, 717.059, - 377.55300000000005, + 377.553, 594.57, 652.944, 406.6, - 464.74800000000005, + 464.748, 697.658, 353.539, 314.654, 705.949, 662.628, - 445.25300000000004, + 445.253, 451.089, - 698.9580000000001, - 392.57199999999995, + 698.958, + 392.572, 720.17, - 434.04400000000004, + 434.044, 782.331, 160.509, 250.885, 777.057, 721.205, 517.726, - 740.4630000000001, + 740.463, 693.293, - 187.55200000000002, + 187.552, 397.009, - 728.8739999999999, + 728.874, 651.727, 752.712, 79.883, @@ -7466,90 +7382,90 @@ 744.586, 353.082, 616.685, - 493.70599999999996, + 493.706, 756.643, 508.648, 563.244, 328.407, - 403.04900000000004, + 403.049, 551.898, - 419.74699999999996, + 419.747, 272.472, 437.705, 303.88, 378.55, - 364.75300000000004, - 520.4730000000001, - 478.92900000000003, + 364.753, + 520.473, + 478.929, 460.096, 418.431, - 381.20300000000003, + 381.203, 296.844, 289.996, 258.472, - 302.17400000000004, - 356.19199999999995, + 302.174, + 356.192, 158.334, - 355.80699999999996, + 355.807, 0.264, 353.654, 308.907, 153.55, 219.708, - 355.80199999999996, + 355.802, 0.512, 152.645, 304.778, 380.537, 383.785, - 108.54899999999999, + 108.549, 546.508, 642.572, 357.602, 531.82, - 384.14300000000003, - 493.61199999999997, + 384.143, + 493.612, 620.71, 429.095, 181.942, 515.612, - 433.31199999999995, + 433.312, 42.887, 596.315, 512.606, 16.912, - 375.64300000000003, + 375.643, 205.725, - 311.54900000000004, + 311.549, 316.4, 222.588, 206.782, 276.986, 285.514, - 393.60699999999997, - 115.77799999999999, + 393.607, + 115.778, 53.528, 0.457, 75.01, 229.882, 255.593, 0.473, - 121.55799999999999, - 152.38299999999998, - 113.87799999999999, + 121.558, + 152.383, + 113.878, 128.418, 96.652, - 114.29700000000001, + 114.297, 82.156, - 114.37899999999999, + 114.379, 74.086, 136.775, 132.327, 119.329, - 97.59899999999999, + 97.599, 60.757, 128.374, - 135.42700000000002, + 135.427, 140.695, 144.813, 146.404, @@ -7557,13 +7473,13 @@ 157.828, 100.743, 116.796, - 42.913999999999994, + 42.914, 39.126, - 95.61200000000001, - 21.156999999999996, + 95.612, + 21.157, 72.192, 32.79, - 106.36399999999999, + 106.364, 84.094, 35.509, 99.24, @@ -7584,17 +7500,17 @@ 67.617, 22.764, 21.691, - 33.510999999999996, + 33.511, 33.83, 34.271, 33.164, - 20.397000000000002, + 20.397, 28.451, 32.503, 19.158, - 28.798000000000002, + 28.798, 5.142, - 21.278000000000002, + 21.278, 23.309, 14.3765, 5.444, @@ -7606,26 +7522,26 @@ 5.626, 12.387, 12.1, - 12.265999999999998, + 12.266, 6.331, 12.007, - 15.177999999999999, + 15.178, 7.746, 11.886, 9.579, 11.495, 7.3, - 11.802999999999999, - 3.4019999999999997, + 11.803, + 3.402, 4.872, 6.023, 5.428, 5.318, - 5.207999999999999, + 5.208, 2.505, 6.237, - 3.0389999999999997, - 1.3430000000000002, + 3.039, + 1.343, 2.758, 0.644, 1.899, @@ -7637,14 +7553,14 @@ 0.616, 6.485, 1.123, - 5.8020000000000005, + 5.802, 9.975, 9.458, 8.693, 7.564, 5.312, 4.913, - 4.513999999999999, + 4.514, 1.315, 0, 3.033, @@ -7655,93 +7571,93 @@ -0.617, 1.695, -1.514, - -0.08800000000000001, + -0.088, -0.36350000000000005, -0.639, - -7.178999999999999, + -7.179, -2.715, - -1.8719999999999999, + -1.872, -1.4455, - -1.0190000000000001, + -1.019, -1.696, -0.127, -3.045, -1.861, -1.454, - 0.9740000000000001, + 0.974, -1.052, 0.825, - 0.14800000000000002, + 0.148, 2.84, - 3.7489999999999997, + 3.749, 4.668, 4.008, - 3.4739999999999998, + 3.474, -3.623, 4.723, - 7.867000000000001, - 3.2969999999999997, - 7.162000000000001, + 7.867, + 3.297, + 7.162, 11.462, - 7.377000000000001, + 7.377, 10.146, 6.193, 6.903, 7.806, 3.523, 13.257, - 5.537999999999999, - 1.8880000000000001, + 5.538, + 1.888, 13.042, - 14.527999999999999, + 14.528, 7.256, 9.452, 13.807, 10.273, 18.867, - 12.607000000000001, + 12.607, 15.905, 14.627, 8.461, 16.852, 18.701, - 21.156999999999996, + 21.157, 11.087, 13.13, 24.174, 24.581, 33.434, - 17.182000000000002, + 17.182, 8.379, 32.503, - 31.781999999999996, + 31.782, 32.107, 59.562, 34.1, - 26.453000000000003, + 26.453, 36.869, 1.403, - 25.688000000000002, + 25.688, 28.336, 17.925, - 45.358000000000004, + 45.358, 89.792, - 110.31700000000001, + 110.317, 93.663, 116.152, 116.906, 106.755, 71.972, 145.518, - 154.07299999999998, + 154.073, 172.362, - 178.40200000000002, + 178.402, 191.114, 208.637, - 212.77200000000002, + 212.772, 182.85, 183.957, - 303.88599999999997, + 303.886, 224.333, 347.186, 361.175, @@ -7758,27 +7674,27 @@ 455.3, 665.446, 197.136, - 494.60900000000004, + 494.609, 615.067, 398.259, 502.746, - 669.3989999999999, + 669.399, 677.184, 437.65, 302.317, 402.746, 261.775, 718.887, - 716.6189999999999, + 716.619, 434.352, - 479.23199999999997, + 479.232, 654.276, - 737.7489999999999, + 737.749, 360.811, 289.599, 715.727, 642.929, - 499.64099999999996, + 499.641, 638.624, 730.327, 732.75, @@ -7794,32 +7710,32 @@ 775.637, 787.325, 613.971, - 672.2510000000001, + 672.251, 498.055, - 385.55800000000005, + 385.558, 590.259, 525.279, 584.534, 381.352, 622.196, 527.036, - 220.55599999999998, + 220.556, 264.286, 274.603, - 510.56300000000005, + 510.563, 590.254, - 525.1469999999999, + 525.147, 406.06, 502.19, 754.056, 477.911, - 705.1289999999999, + 705.129, 601.369, - 779.4960000000001, + 779.496, 755.597, 323.991, 581.005, - 60.861999999999995, + 60.862, 673.066, 664.665, 603.764, @@ -7827,31 +7743,31 @@ 536.4, 313.096, 143.806, - 725.1189999999999, + 725.119, 498.259, 142.033, 305.703, 535.976, 383.962, 494.466, - 546.3919999999999, + 546.392, 320.87, 229.982, 643.766, 721.012, 535.283, - 668.3480000000001, + 668.348, 705.922, - 274.14599999999996, + 274.146, 762, 599.007, - 787.2589999999999, - 504.85400000000004, - 785.4860000000001, - 146.94899999999998, + 787.259, + 504.854, + 785.486, + 146.949, 574.217, - 614.3009999999999, - 746.6560000000001, + 614.301, + 746.656, 721.095, 578.181, 600.554, @@ -7862,35 +7778,35 @@ 143.53, 496.64, 420.462, - 711.0089999999999, + 711.009, 275.214, 553.401, 748.176, 670.676, - 566.8340000000001, + 566.834, 113.906, - 312.85400000000004, + 312.854, 739.13, 343.101, - 711.3889999999999, + 711.389, 732.59, 680.658, 327.003, - 332.43699999999995, - 6.9910000000000005, + 332.437, + 6.991, 18.233, - 316.95599999999996, - 520.4680000000001, + 316.956, + 520.468, 283.868, 293.123, 19.516, 528.175, - 770.7919999999999, + 770.792, 36.264, - 441.92800000000005, + 441.928, 704.623, - 705.7510000000001, - 772.7189999999999, + 705.751, + 772.719, 80.053, 604.265, 352.796, @@ -7901,28 +7817,28 @@ 400.847, 760.53, 509.528, - 678.8960000000001, + 678.896, 485.47, 721.585, 452.839, 382.233, 516.173, - 728.5989999999999, + 728.599, 289.654, - 83.02600000000001, + 83.026, 380.62, - 486.95099999999996, + 486.951, 244.637, 593.254, - 124.75200000000001, - 417.24699999999996, + 124.752, + 417.247, 781.742, 530.526, 164.842, 271.03, 70.628, 516.531, - 118.81700000000001, + 118.817, 209.546, 657.943, 679.683, @@ -7930,37 +7846,37 @@ 222.946, 70.116, 482.431, - 404.56300000000005, + 404.563, 149.124, 432.282, - 0.14300000000000002, - 183.24099999999999, + 0.143, + 183.241, 570.765, - 778.5210000000001, - 437.82599999999996, - 382.64599999999996, + 778.521, + 437.826, + 382.646, 218.172, 753.775, 313.603, 359.017, 258.087, - 312.72700000000003, - 491.00300000000004, + 312.727, + 491.003, 5.956, 616.432, 602.035, - 116.76899999999999, + 116.769, 412.43, - 390.35900000000004, + 390.359, 295.82, 214.28, 136.203, 255.268, 212.183, 178.358, - 421.12300000000005, + 421.123, 627.211, - 503.69300000000004, + 503.693, 534.627, 230.989, 19.175, @@ -7968,7 +7884,7 @@ 150.352, 209.722, 179.205, - 203.02200000000002, + 203.022, 126.574, 158.907, 129.987, @@ -7976,77 +7892,77 @@ 507.222, 653.379, 766.701, - 534.5830000000001, + 534.583, 547.433, - 684.8860000000001, + 684.886, 566.195, 662.985, - 374.87800000000004, + 374.878, 769.801, 784.836, 627.878, 618.194, 766.25, - 466.11300000000006, + 466.113, 515.43, 789.18, - 596.0840000000001, + 596.084, 604.122, 588.09, 575.56, - 404.11699999999996, + 404.117, 738.437, 514.99, 564.747, - 512.2040000000001, + 512.204, 439.671, - 486.98900000000003, + 486.989, 599.448, 365.298, 675.995, 413.151, 345.936, - 211.65400000000002, + 211.654, 126.86, 178.82, - 264.92400000000004, + 264.924, 220.088, 77.218, - 229.86599999999999, + 229.866, 212.799, 91.516, 559.826, 278.055, - 236.37900000000002, + 236.379, 531.01, - 550.5880000000001, - 142.67700000000002, + 550.588, + 142.677, 84.177, - 425.80800000000005, + 425.808, 577.636, 580.702, - 332.50300000000004, + 332.503, 583.763, - 570.4069999999999, + 570.407, 544.488, 543.893, 545.66, - 197.69799999999998, - 430.37199999999996, + 197.698, + 430.372, 342.06, 503.715, - 335.82300000000004, + 335.823, 348.292, 312.86, 315.59, - 134.17700000000002, + 134.177, 205.422, 473.782, 479.629, 18.586, 138.95, 44.065, - 286.07599999999996, + 286.076, 259.452, 399.79, 346.459, @@ -8055,24 +7971,24 @@ 122.979, 323.777, 36.71, - 442.48900000000003, + 442.489, 448.931, 311.059, 438.366, 432.035, 302.988, 232.294, - 257.16200000000003, + 257.162, 425.555, 420.82, 421.519, - 416.61400000000003, + 416.614, 416.075, 216.835, 302.361, - 335.23900000000003, - 406.51199999999994, - 307.29900000000004, + 335.239, + 406.512, + 307.299, 233.533, 277.9, 292.275, @@ -8080,27 +7996,27 @@ 106.76, 129.877, 221.459, - 201.74400000000003, + 201.744, 72.45, - 109.47399999999999, + 109.474, 135.762, - 159.17700000000002, + 159.177, 244.885, - 173.49599999999998, - 232.12900000000002, + 173.496, + 232.129, 263.961, 290.166, - 189.97400000000002, + 189.974, 79.574, 141.356, - 26.398000000000003, + 26.398, 207.833, - 18.944000000000003, + 18.944, 152.334, - 183.84099999999998, + 183.841, 157.734, - 163.96099999999998, - 165.94299999999998, + 163.961, + 165.943, 106.529, 151.018, 199.84, @@ -8114,30 +8030,30 @@ 72.671, 73.436, 64.952, - 62.413999999999994, + 62.414, 38.912, 38.427, 39.633, 40.272, - 40.056999999999995, + 40.057, 38.235, - 28.131999999999998, + 28.132, 34.194, 20.788, 13.835, 26.381, - 7.6739999999999995, + 7.674, 11.627, 9.161, 20.849, - 6.457000000000001, + 6.457, 0.446, 5.566, - 14.479000000000001, - 9.908999999999999, + 14.479, + 9.909, 15.453, 10.058, - 5.4110000000000005, + 5.411, 0.379, 5.502000000000001, 10.625, @@ -8145,16 +8061,16 @@ 6.155, 8.23, 7.388, - 5.0760000000000005, + 5.076, 5.874, - 2.8510000000000004, - 1.7009999999999998, + 2.851, + 1.701, 1.69, - 2.9389999999999996, + 2.939, 3.028, 0.847, 0.589, - -1.2229999999999999, + -1.223, 0.919, -2.45, 0.479, @@ -8164,33 +8080,33 @@ 6.76, 9.067, 10.526, - 13.597999999999999, + 13.598, 17.039, 17.413, 15.8, 23.276, 16.108, 19.67, - 26.673000000000002, - 12.595999999999998, + 26.673, + 12.596, 32.338, - 37.611999999999995, + 37.612, 23.717, - 24.543000000000003, + 24.543, 38.774, - 33.400999999999996, + 33.401, 36.897, 50.968, 76.563, 90.266, 101.089, 64.737, - 61.428999999999995, + 61.429, 97.274, - 126.50200000000001, + 126.502, 101.37, 131.661, - 110.48700000000001, + 110.487, 110.851, 137.232, 130.494, @@ -8201,20 +8117,20 @@ 94.318, 172.984, 114.6, - 167.63299999999998, + 167.633, 26.767, 210.157, - 180.46599999999998, + 180.466, 221.255, 153.991, 154.673, 233.863, 184.623, - 163.64700000000002, + 163.647, 191.356, - 218.21099999999998, + 218.211, 157.52, - 184.18200000000002, + 184.182, 277.069, 117.545, 284.347, @@ -8226,45 +8142,45 @@ 186.269, 268.866, 150.599, - 250.84099999999998, - 340.93699999999995, - 111.68700000000001, - 233.24599999999998, - 329.18300000000005, + 250.841, + 340.937, + 111.687, + 233.246, + 329.183, 90.822, 287.111, 247.852, 296.476, 377.273, 377.691, - 387.80400000000003, + 387.804, 267.693, 328.407, 275.214, 305.879, 320.072, 347.131, - 311.64799999999997, + 311.648, 317.605, 430.267, 327.036, 344.527, - 387.94800000000004, + 387.948, 334.589, 322.78, 197.946, 272.841, 374.272, - 348.51199999999994, + 348.512, 393.519, 358.708, - 362.24300000000005, + 362.243, 282.288, 225.935, 461.588, - 395.51199999999994, + 395.512, 351.37, - 374.86699999999996, + 374.867, 456.379, 256.176, 517.065, @@ -8276,8 +8192,8 @@ 540.122, 539.814, 545.501, - 414.02099999999996, - 43.916000000000004, + 414.021, + 43.916, 28.16, 19.324, 469.339, @@ -8287,39 +8203,39 @@ 503.566, 583.565, 586.477, - 592.8580000000001, + 592.858, 596.8, 277.862, 576.716, 447.103, - 229.72799999999998, + 229.728, 586.224, 620.264, 625.587, 101.139, 453.792, - 505.76300000000003, - 439.31800000000004, - 367.74800000000005, + 505.763, + 439.318, + 367.748, 639.158, 644.377, - 644.4209999999999, + 644.421, 653.186, 659.115, 659.291, 626.154, 0.523, 224.454, - 453.31800000000004, + 453.318, 580.151, 604.981, 460.283, 438.096, 159.116, 692.186, - 475.10900000000004, + 475.109, 701.485, - 704.6010000000001, + 704.601, 460.25, 0.545, 129.013, @@ -8327,19 +8243,19 @@ 329.04, 208.373, 538.823, - 709.0160000000001, + 709.016, 571.761, 438.559, 741.944, - 741.5139999999999, + 741.514, 744.944, 744.168, 500.505, - 336.64300000000003, + 336.643, 371.861, 754.837, - 755.8889999999999, - 234.91400000000002, + 755.889, + 234.914, 719.796, 298.507, 770.841, @@ -8348,8 +8264,8 @@ 633.064, 666.08, 547.873, - 464.31800000000004, - 579.3969999999999, + 464.318, + 579.397, 736.488, 318.574, 651.231, @@ -8359,37 +8275,37 @@ 648.451, 735.86, 664.169, - 711.0360000000001, + 711.036, 729.925, 476.436, 352.586, 644.724, 625.967, - 160.21200000000002, - 462.12199999999996, + 160.212, + 462.122, 507.976, 387.111, 204.2, - 379.35900000000004, + 379.359, 699.668, 708.284, 490.705, 339.963, 521.668, 386.445, - 689.1360000000001, + 689.136, 676.732, 136.17, - 269.85200000000003, + 269.852, 698.765, 357.431, - 680.1619999999999, + 680.162, 574.035, 116.235, 436.94, - 639.9069999999999, + 639.907, 215.271, - 124.21799999999999, + 124.218, 226.243, 350.329, 463.74, @@ -8399,16 +8315,16 @@ 447.918, 633.548, 458.389, - 489.68699999999995, - 629.5459999999999, - 359.47900000000004, + 489.687, + 629.546, + 359.479, 604.034, 767.924, 547.163, 730.57, - 21.019000000000002, - 491.05800000000005, - 209.47400000000002, + 21.019, + 491.058, + 209.474, 468.106, 481.225, 524.492, @@ -8423,14 +8339,14 @@ 410.041, 621.447, 54.2, - 284.76599999999996, + 284.766, 133.048, 749.596, 417.765, 606.737, - 422.86300000000006, + 422.863, 389.214, - 93.87200000000001, + 93.872, 503.087, 3.094, 478.093, @@ -8439,10 +8355,10 @@ 701.204, 716.834, 593.689, - 667.9839999999999, + 667.984, 765.694, 670.247, - 527.7180000000001, + 527.718, 679.931, 764.466, 706.467, @@ -8452,16 +8368,16 @@ 560.002, 730.779, 514.555, - 613.4540000000001, - 329.11699999999996, + 613.454, + 329.117, 243.106, 591.404, 348.76, 248.584, - 715.8760000000001, + 715.876, 734.539, - 729.8810000000001, - 790.2860000000001, + 729.881, + 790.286, 190.546, 783.807, 384.798, @@ -8472,8 +8388,8 @@ 638.118, 567.153, 284.909, - 718.8710000000001, - 217.91400000000002, + 718.871, + 217.914, 642.109, 558.069, 605.306, @@ -8484,48 +8400,48 @@ 496.338, 470.402, 318.651, - 447.19599999999997, + 447.196, 416.955, - 253.37900000000002, + 253.379, 216.29, 627.823, - 469.98900000000003, + 469.989, 465.606, 506.853, 70.788, - 356.39099999999996, + 356.391, 756.742, 644.179, - 92.47399999999999, + 92.474, 102.014, 504.75, 157.778, 731.698, - 790.0060000000001, + 790.006, 768.27, 352.619, 134.16, - 774.5139999999999, + 774.514, 780.465, 569.763, 773.721, - 674.1560000000001, + 674.156, 272.868, - 780.2339999999999, + 780.234, 379.656, 779.931, 776.903, - 776.0880000000001, + 776.088, 494.499, 0.363, - 111.75299999999999, + 111.753, 765.253, - 534.6709999999999, - 560.0840000000001, + 534.671, + 560.084, 501.254, - 438.92199999999997, - 284.47900000000004, - 745.3960000000001, + 438.922, + 284.479, + 745.396, 737.303, 468.216, 719.096, @@ -8535,18 +8451,18 @@ 717.318, 714.549, 503.77, - 705.5260000000001, + 705.526, 639.367, - 228.89700000000002, + 228.897, 682.717, - 670.4889999999999, + 670.489, 413.283, 676.408, 671.805, 668.788, 661.62, 161.671, - 435.06800000000004, + 435.068, 422.009, 620.946, 601.793, @@ -8558,16 +8474,16 @@ 624.288, 269.295, 457.205, - 531.6990000000001, + 531.699, 421.101, - 455.82300000000004, - 494.14599999999996, + 455.823, + 494.146, 562.683, - 369.69699999999995, - 460.20599999999996, + 369.697, + 460.206, 5.428, 47.214, - 555.2669999999999, + 555.267, 483.389, 175.412, 360.575, @@ -8577,36 +8493,36 @@ 567.318, 569.686, 555.509, - 529.5740000000001, - 443.60699999999997, + 529.574, + 443.607, 513.399, - 454.60699999999997, + 454.607, 538.911, 398.848, 338.036, 535.613, 549.332, 540.821, - 108.85799999999999, + 108.858, 220.551, - 533.9830000000001, + 533.983, 218.101, 530.548, - 504.12800000000004, - 471.94300000000004, + 504.128, + 471.943, 307.712, 259.606, 427.713, 282.073, 468.244, - 468.18300000000005, + 468.183, 266.46, 444.477, - 401.57300000000004, - 350.48900000000003, + 401.573, + 350.489, 229.459, 141.884, - 306.39599999999996, + 306.396, 277.251, 251.766, 210.267, @@ -8620,27 +8536,27 @@ 220.033, 157.178, 222.604, - 236.21400000000003, + 236.214, 121.779, - 195.25900000000001, + 195.259, 140.855, - 131.85399999999998, + 131.854, 234.105, - 233.31799999999998, + 233.318, 198.48, 105.736, 140.921, 0.363, 109.094, - 253.68200000000002, - 85.32799999999999, + 253.682, + 85.328, 244.648, - 178.15900000000002, - 226.07299999999998, + 178.159, + 226.073, 215.012, - 96.48700000000001, + 96.487, 136.467, - 179.21599999999998, + 179.216, 179.695, 171.856, 137.904, @@ -8651,7 +8567,7 @@ 163.179, 98.221, 115.156, - 44.873999999999995, + 44.874, 127.736, 122.219, 88.796, @@ -8659,22 +8575,22 @@ 43.619, 69.268, 41.918, - 45.038999999999994, + 45.039, 57.878, - 54.211000000000006, + 54.211, 52.218, 50.187, 39.231, - 49.06399999999999, + 49.064, 40.376, - 7.9270000000000005, + 7.927, 26.128, 33.048, 34.653000000000006, 36.258, 15.8, - 26.304000000000002, - 23.820999999999998, + 26.304, + 23.821, 32.564, 29.47, 25.82, @@ -8683,10 +8599,10 @@ 14.082, 26.712, 20.48, - 24.113000000000003, + 24.113, 13.46, 16.609, - 15.210999999999999, + 15.211, 3.363, 9.744, 10.917, @@ -8695,8 +8611,8 @@ 0.517, 9.838, 7.982, - 3.0610000000000004, - 5.577000000000001, + 3.061, + 5.577, 0.847, 4.668, -0.997, @@ -8705,49 +8621,49 @@ -4.256, 0.655, -0.342, - 0.40700000000000003, - -0.9690000000000001, + 0.407, + -0.969, -2.417, 2.494, 10.636, 20.43, 21.663, - 26.458000000000002, + 26.458, 25.06, - 21.596999999999998, + 21.597, 32.861, 38.653, 32.272, 41.136, - 53.138000000000005, + 53.138, 48.519, - 49.806999999999995, + 49.807, 62.018, 35.262, 63.857, 72.005, - 65.29899999999999, - 20.192999999999998, + 65.299, + 20.193, 90.684, 98.331, - 43.553000000000004, + 43.553, 43.773, - 118.22200000000001, + 118.222, 121.135, 95.931, 80.031, 141.092, 147.445, 158.329, - 168.61900000000003, - 114.79799999999999, - 114.45700000000001, - 176.40900000000002, + 168.619, + 114.798, + 114.457, + 176.409, 78.936, 104.398, 203.842, 36.632, - 208.40599999999998, + 208.406, 117.617, 199.889, 176.959, @@ -8762,14 +8678,14 @@ 270.237, 255.515, 160.129, - 104.70700000000001, - 210.61900000000003, + 104.707, + 210.619, 268.772, - 243.19400000000002, + 243.194, 272.323, 277.091, 262.045, - 284.85400000000004, + 284.854, 262.072, 351.606, 355.945, @@ -8780,15 +8696,15 @@ 257.916, 281.231, 295.171, - 266.14099999999996, + 266.141, 269.009, 324.448, 340.921, - 342.88599999999997, - 338.87800000000004, + 342.886, + 338.878, 327.449, 258.472, - 333.79699999999997, + 333.797, 312.92, 348.033, 449.509, @@ -8797,63 +8713,63 @@ 384.43, 256.033, 316.339, - 459.83099999999996, - 247.21900000000002, + 459.831, + 247.219, 403.418, 322.032, - 219.24599999999998, + 219.246, 506.974, 248.601, 458.295, 481.022, - 182.78900000000002, + 182.789, 291.064, 315.634, - 422.31800000000004, + 422.318, 469.967, 477.63, - 397.26300000000003, + 397.263, 503.583, 495.28, - 390.24300000000005, + 390.243, 263.988, 279.772, 193.305, 270.347, - 241.71900000000002, - 317.44599999999997, + 241.719, + 317.446, 132.239, - 448.07199999999995, + 448.072, 400.401, - 5.747000000000001, + 5.747, 0.55, 290.772, - 333.36199999999997, + 333.362, 527.735, 43.129, - 0.5670000000000001, - 365.49699999999996, + 0.567, + 365.497, 116.604, - 171.34400000000002, - 183.18599999999998, + 171.344, + 183.186, 495.814, 485.035, 562.22, 384.275, - 368.99800000000005, - 477.42699999999996, + 368.998, + 477.427, 268.453, 509.385, 425.384, - 502.49800000000005, + 502.498, 554.964, 513.294, 677.36, 685.304, - 484.42900000000003, - 205.36700000000002, + 484.429, + 205.367, 439.918, - 407.76099999999997, + 407.761, 155.94, 212.375, 265.656, @@ -8861,10 +8777,10 @@ 714.345, 702.443, 717.885, - 724.1339999999999, + 724.134, 727.547, 706.307, - 539.1419999999999, + 539.142, 227.768, 250.484, 751.05, @@ -8883,15 +8799,15 @@ 181.804, 378.153, 591.482, - 541.7180000000001, - 358.95599999999996, + 541.718, + 358.956, 150.275, 757.942, 692.962, 274.316, 0.457, 204.205, - 610.2769999999999, + 610.277, 448.986, 611.918, 549.619, @@ -8899,10 +8815,10 @@ 391.256, 429.805, 453.93, - 100.25299999999999, + 100.253, 398.87, 190.613, - 0.46799999999999997, + 0.468, 105.714, 445.435, 0.473, @@ -8926,20 +8842,20 @@ 532.018, 494.895, 528.247, - 773.6439999999999, + 773.644, 621.304, 620.269, 730.977, - 755.5310000000001, + 755.531, 578.869, 491.603, 743.7, 343.772, - 716.5360000000001, - 474.29900000000004, - 604.4630000000001, - 717.0210000000001, - 383.42199999999997, + 716.536, + 474.299, + 604.463, + 717.021, + 383.422, 479.711, 609.187, 695.297, @@ -8948,7 +8864,7 @@ 535.321, 754.832, 694.801, - 638.9540000000001, + 638.954, 629.722, 639.422, 586.4, @@ -8957,24 +8873,24 @@ 665.865, 728.654, 774.525, - 428.73699999999997, + 428.737, 603.665, - 765.2760000000001, + 765.276, 644.735, 694.355, 629.992, 23.386, 175.137, - 493.60699999999997, + 493.607, 457.838, 71.382, 655.493, 562.65, 414.032, - 743.4580000000001, - 762.7819999999999, + 743.458, + 762.782, 770.941, - 87.28200000000001, + 87.282, 632.32, 531.236, 743.1, @@ -8982,10 +8898,10 @@ 502.245, 621.398, 115.954, - 568.7719999999999, + 568.772, 639.378, 149.454, - 679.2589999999999, + 679.259, 780.971, 731.544, 704.182, @@ -8996,38 +8912,38 @@ 659.423, 462.204, 758.311, - 781.6210000000001, + 781.621, 415.777, 788.079, - 372.26800000000003, - 415.51800000000003, - 547.0419999999999, + 372.268, + 415.518, + 547.042, 417.809, 635.42, 612.072, 480.108, 594.884, 512.127, - 373.13800000000003, + 373.138, 697.46, 397.918, - 697.1410000000001, - 620.7040000000001, + 697.141, + 620.704, 582.266, 688.393, 552.828, 550.274, 493.034, 145.32, - 628.9019999999999, + 628.902, 782.915, 620.418, 548.523, - 666.5419999999999, + 666.542, 683.427, 39.556, 393.915, - 581.0269999999999, + 581.027, 137.827, 377.652, 623.98, @@ -9037,128 +8953,128 @@ 598.991, 527.812, 697.24, - 637.2919999999999, + 637.292, 606.985, - 730.8610000000001, + 730.861, 108.213, 678.957, 585.448, - 46.486999999999995, + 46.487, 602.85, 396.288, 735.508, 109.045, 494.587, - 450.10900000000004, - 467.30199999999996, + 450.109, + 467.302, 627.118, 729.931, - 22.203000000000003, - 763.2660000000001, + 22.203, + 763.266, 500.522, 638.938, - 790.8810000000001, + 790.881, 496.035, 691.883, 621.205, - 790.1489999999999, + 790.149, 271.327, 145.391, - 689.1089999999999, + 689.109, 574.382, 779.914, 415.601, - 0.34600000000000003, + 0.346, 271.222, 555.906, 731.368, 515.711, 772.449, 769.955, - 763.7339999999999, - 667.6160000000001, + 763.734, + 667.616, 461.577, - 757.8710000000001, + 757.871, 749.673, 751.903, 633.009, - 411.36699999999996, + 411.367, 739.395, 607.948, 681.357, 727.685, 125.165, - 483.26199999999994, - 680.7289999999999, + 483.262, + 680.729, 596.139, - 725.7189999999999, + 725.719, 299.597, 172.417, - 714.8739999999999, + 714.874, 682.084, 434.44, 531.451, 0.379, 223.199, - 701.6610000000001, + 701.661, 442.566, - 399.98199999999997, + 399.982, 538.085, 558.124, 687.677, 672.135, 404.166, - 678.2739999999999, + 678.274, 674.706, - 673.2810000000001, - 650.4169999999999, + 673.281, + 650.417, 665.331, 661.317, 222.467, 316.895, - 626.7330000000001, - 411.60400000000004, - 260.29400000000004, - 426.44699999999995, + 626.733, + 411.604, + 260.294, + 426.447, 640.226, 602.988, - 626.1709999999999, + 626.171, 628.313, 627.806, 622.499, 624.283, - 466.58099999999996, + 466.581, 543.656, 163.075, 117.573, - 132.22799999999998, - 122.09299999999999, - 596.5409999999999, + 132.228, + 122.093, + 596.541, 398.199, 406.781, 25.49, 386.103, - 546.7280000000001, - 523.7819999999999, + 546.728, + 523.782, 482.871, 276.579, 354.144, 259.171, 330.014, 317.721, - 209.83700000000002, + 209.837, 0.418, 0.385, 297.527, 263.999, 334.958, 60.988, - 217.99099999999999, + 217.991, 169.868, 383.24, 293.002, 130.565, - 264.92400000000004, + 264.924, 229.673, 168.696, 271.377, @@ -9167,44 +9083,44 @@ 253.209, 256.198, 272.533, - 84.50200000000001, + 84.502, 318.541, - 240.55200000000002, - 50.648999999999994, + 240.552, + 50.649, 0.391, - 0.35200000000000004, + 0.352, 77.559, 323.782, - 365.30400000000003, + 365.304, 260.371, 338.856, 214.517, - 214.02700000000002, - 360.01300000000003, + 214.027, + 360.013, 209.155, 254.91, 392.082, 147.208, 280.405, - 303.41200000000003, - 215.43599999999998, + 303.412, + 215.436, 315.728, 346.668, 343.37, 254.805, - 172.62099999999998, + 172.621, 87.287, 244.285, 191.455, 47.093, - 126.12799999999999, + 126.128, 353.517, - 253.40099999999998, + 253.401, 335.47, - 228.69299999999998, + 228.693, 303.126, 242.33, - 185.12900000000002, + 185.129, 81.991, 332.194, 245.485, @@ -9213,15 +9129,15 @@ 48.073, 206.71, 304.849, - 224.31099999999998, - 278.41200000000003, + 224.311, + 278.412, 187.067, - 290.66200000000003, + 290.662, 260.36, 263.878, 247.968, - 213.80700000000002, - 93.59700000000001, + 213.807, + 93.597, 46.9, 74.487, 87.915, @@ -9231,38 +9147,38 @@ 44.637, 78.391, 6.909, - 68.78399999999999, + 68.784, 20.849, - 16.554000000000002, + 16.554, 39.49, 47.01, - 21.750999999999998, + 21.751, 0.418, 48.909, - 48.998000000000005, - 46.486999999999995, + 48.998, + 46.487, 39.633, 36.319, 33.654, - 16.102999999999998, + 16.103, 12.987, 31.788, - 29.386999999999997, + 29.387, 19.544, 20.188, 10.454, 16.885, 17.854, - 13.482000000000001, - 12.062000000000001, - 10.642000000000001, + 13.482, + 12.062, + 10.642, 14.237, 11.583, - 13.719000000000001, + 13.719, 17.54, 11.913, - 7.702000000000001, - 6.287000000000001, + 7.702, + 6.287, 3.11, 6.678, 6.43, @@ -9270,12 +9186,12 @@ -1.426, 4.822, 4.894, - -2.9019999999999997, + -2.902, -5.131, - -0.7490000000000001, + -0.749, -2.698, - 0.9690000000000001, - 1.6680000000000001, + 0.969, + 1.668, -0.21, 4.685, 3.947, @@ -9283,8 +9199,8 @@ 6.7, 7.096, 8.929, - 13.279000000000002, - 15.370999999999999, + 13.279, + 15.371, 7.454, 13.075, 17.149, @@ -9292,14 +9208,14 @@ 18.393, 28.54, 27.031, - 13.960999999999999, + 13.961, 0.693, 30.384, 32.278, 41.725, 37.833, 52.328, - 57.388000000000005, + 57.388, 58.445, 66.752, 59.067, @@ -9308,7 +9224,7 @@ 84.414, 37.376, 28.099, - 75.23100000000001, + 75.231, 14.237, 39.985, 64.952, @@ -9323,12 +9239,12 @@ 64.016, 68.712, 36.445, - 0.5670000000000001, + 0.567, 0.561, 51.75, 39.958, 74.229, - 27.703000000000003, + 27.703, 14.11, 83.081, 56.54, @@ -9337,11 +9253,11 @@ 68.046, 85.427, 65.514, - 65.92699999999999, + 65.927, 98.766, 101.425, 95.001, - 100.07600000000001, + 100.076, 149.129, 91.538, 159.755, @@ -9354,28 +9270,28 @@ 164.088, 155.477, 154.183, - 160.65200000000002, + 160.652, 166.708, 130.907, 203.545, 192.495, - 235.44799999999998, - 206.84799999999998, + 235.448, + 206.848, 166.928, 153.082, 160.118, 153.275, - 168.65200000000002, + 168.652, 130.472, - 226.99200000000002, + 226.992, 130.07, 138.493, 197.296, 174.95, - 56.748999999999995, - 158.52700000000002, + 56.749, + 158.527, 20.76, - 164.75400000000002, + 164.754, 46.228, 116.995, 147.004, @@ -9383,35 +9299,35 @@ 175.203, 113.609, 120.49, - 85.81200000000001, + 85.812, 15.2, 139.22, - 172.78599999999997, + 172.786, 239.115, 225.093, - 287.46299999999997, + 287.463, 289.561, 143.822, - 213.43200000000002, - 273.80400000000003, + 213.432, + 273.804, 275.495, 258.89, 291.934, - 283.91200000000003, + 283.912, 284.121, 28.226, 267.842, - 255.59799999999998, + 255.598, 249.322, 97.99, - 59.221000000000004, - 0.5720000000000001, + 59.221, + 0.572, 115.635, - 335.43199999999996, + 335.432, 366.218, 89.258, - 49.851000000000006, - 329.93199999999996, + 49.851, + 329.932, 357.569, 117.396, 263.774, @@ -9426,59 +9342,59 @@ 190.045, 315.337, 308.411, - 213.59799999999998, + 213.598, 0.561, - 116.31700000000001, - 355.31199999999995, - 228.99599999999998, + 116.317, + 355.312, + 228.996, 179.778, 367.214, - 388.82800000000003, + 388.828, 420.853, 396.365, 233.995, 192.451, 272.769, - 477.20599999999996, - 337.35900000000004, - 340.50199999999995, - 422.75300000000004, - 446.06800000000004, + 477.206, + 337.359, + 340.502, + 422.753, + 446.068, 355.405, 274.933, 540.887, 507.838, 518.309, 400.059, - 215.05599999999998, - 430.17400000000004, + 215.056, + 430.174, 407.668, - 428.13699999999994, - 434.73800000000006, + 428.137, + 434.738, 390.32, 346.36, 586.174, - 402.05199999999996, - 555.7959999999999, + 402.052, + 555.796, 550.549, 500.026, 590.309, 395.171, 524.509, - 511.26300000000003, + 511.263, 658.163, 434.462, 571.007, 510.806, 466.454, 228.864, - 680.1289999999999, - 684.2860000000001, - 665.6610000000001, + 680.129, + 684.286, + 665.661, 250.153, - 416.38800000000003, - 364.68699999999995, - 662.5889999999999, + 416.388, + 364.687, + 662.589, 375.296, 585.998, 309.986, @@ -9487,7 +9403,7 @@ 213.405, 551.909, 517.698, - 325.07599999999996, + 325.076, 288.306, 587.65, 549.305, @@ -9497,60 +9413,60 @@ 442.126, 473.931, 484.149, - 516.7130000000001, + 516.713, 517.197, 36.71, 19.648, 399.966, - 496.11199999999997, + 496.112, 488.657, 529.783, 388.773, 587.375, - 141.95600000000002, + 141.956, 527.905, - 669.8560000000001, - 670.4839999999999, + 669.856, + 670.484, 683.322, 184.755, 426.601, 623.424, 630.432, - 643.1990000000001, + 643.199, 639.015, 323.969, 187.375, - 26.673000000000002, + 26.673, 563.944, 154.569, - 364.36800000000005, + 364.368, 654.331, 716.487, 693.188, 689.709, - 416.17400000000004, + 416.174, 357.249, - 424.48699999999997, + 424.487, 228.225, 605.823, 532.668, 419.659, - 398.30300000000005, - 276.83799999999997, - 233.97299999999998, + 398.303, + 276.838, + 233.973, 317.258, 245.545, - 460.38199999999995, + 460.382, 183.83, 223.518, - 472.11400000000003, + 472.114, 497.851, 414.06, 536.086, 621.431, 486.086, - 552.9490000000001, - 454.94300000000004, + 552.949, + 454.943, 419.251, 371.767, 274.768, @@ -9558,8 +9474,8 @@ 631.153, 614.885, 545.181, - 198.74400000000003, - 275.02099999999996, + 198.744, + 275.021, 500.241, 568.309, 580.63, @@ -9569,9 +9485,9 @@ 520.143, 331.033, 21.779, - 396.20599999999996, + 396.206, 532.937, - 530.4209999999999, + 530.421, 298.876, 304.431, 508.202, @@ -9584,12 +9500,12 @@ 358.934, 566.091, 548.908, - 194.31799999999998, + 194.318, 530.84, - 553.0319999999999, + 553.032, 575.725, 339.649, - 175.97400000000002, + 175.974, 396.371, 575.742, 539.687, @@ -9600,58 +9516,58 @@ 54.597, 631.313, 512.314, - 450.30699999999996, + 450.307, 433.615, 440.436, 586.631, 671.789, 525.054, - 727.3710000000001, - 720.5880000000001, + 727.371, + 720.588, 550.659, 225.329, 618.095, 524.729, 731.605, 470.903, - 384.23699999999997, - 768.3919999999999, + 384.237, + 768.392, 491.542, 683.179, 570.115, - 691.8560000000001, + 691.856, 525.538, 636.015, 341.537, 48.722, 648.385, 676.27, - 288.66900000000004, + 288.669, 624.365, 131.077, 499.756, - 358.69199999999995, + 358.692, 705.03, 579.205, - 742.7810000000001, - 715.0939999999999, + 742.781, + 715.094, 690.821, 748.77, 587.182, - 554.2819999999999, + 554.282, 761.961, 776.688, 336.329, 535.855, - 504.41900000000004, + 504.419, 764.813, - 775.1080000000001, - 620.7869999999999, + 775.108, + 620.787, 533.46, - 620.0319999999999, - 442.31300000000005, + 620.032, + 442.313, 446.712, - 626.3969999999999, + 626.397, 730.421, 626.094, 611.075, @@ -9660,43 +9576,43 @@ 635.91, 350.522, 32.9, - 480.32800000000003, + 480.328, 302.438, - 642.1419999999999, + 642.142, 624.982, - 709.2860000000001, + 709.286, 695.743, 769.873, 506.897, 316.768, 501.81, - 718.9860000000001, + 718.986, 703.252, - 721.4639999999999, + 721.464, 713.58, 684.627, 394.95, - 376.38599999999997, + 376.386, 595.693, 302.421, 124.163, - 675.0260000000001, + 675.026, 347.389, - 402.81800000000004, + 402.818, 710.09, 781.137, - 761.1189999999999, + 761.119, 263.113, 21.366, 347.582, - 445.10400000000004, + 445.104, 417.44, - 342.88599999999997, + 342.886, 446.288, 655.795, 16.185, 264.555, - 467.45599999999996, + 467.456, 471.139, 582.871, 580.471, @@ -9707,7 +9623,7 @@ 610.145, 629.788, 598.49, - 434.62800000000004, + 434.628, 550.78, 595.104, 664.643, @@ -9717,20 +9633,20 @@ 781.797, 587.248, 696.288, - 572.9169999999999, + 572.917, 97.742, 572.516, 480.955, - 745.9680000000001, + 745.968, 370.55, 332.53, 743.727, 575.18, 315.629, - 743.8430000000001, - 743.4580000000001, + 743.843, + 743.458, 737.066, - 700.9010000000001, + 700.901, 134.535, 405.289, 524.943, @@ -9740,7 +9656,7 @@ 708.498, 394.361, 628.781, - 412.94699999999995, + 412.947, 664.703, 584.203, 417.082, @@ -9748,17 +9664,17 @@ 477.966, 584.98, 606.55, - 695.3739999999999, + 695.374, 533.124, 585.58, 685.563, 511.78, 598.798, 544.466, - 489.31800000000004, + 489.318, 477.454, 321.652, - 495.68800000000005, + 495.688, 657.293, 507.745, 651.248, @@ -9766,15 +9682,15 @@ 319.906, 438.289, 640.865, - 396.35400000000004, - 432.32099999999997, - 348.62300000000005, - 630.6080000000001, + 396.354, + 432.321, + 348.623, + 630.608, 522.962, 0.368, 69.048, 568.139, - 461.30699999999996, + 461.307, 607.7, 196.382, 127.279, @@ -9782,9 +9698,9 @@ 597.741, 403.407, 588.404, - 583.9830000000001, + 583.983, 582.106, - 54.888000000000005, + 54.888, 455.911, 402.504, 565.375, @@ -9798,26 +9714,26 @@ 542.247, 537.76, 395.875, - 378.29699999999997, + 378.297, 525.857, 390.155, 520.099, 247.687, 356.22, 425.918, - 325.58799999999997, + 325.588, 486.334, - 352.49800000000005, + 352.498, 324.647, 482.871, - 378.88599999999997, + 378.886, 239.264, 395.082, - 319.98400000000004, + 319.984, 435.778, - 346.93800000000005, + 346.938, 454.48, - 190.72799999999998, + 190.728, 200.17, 299.316, 405.543, @@ -9837,10 +9753,10 @@ 332.585, 234.826, 339.792, - 342.19800000000004, + 342.198, 352.163, 175.638, - 146.49200000000002, + 146.492, 0.374, 252.774, 311.88, @@ -9852,14 +9768,14 @@ 288.906, 280.147, 274.531, - 251.43099999999998, + 251.431, 251.139, 267.187, - 241.15200000000002, - 60.476000000000006, + 241.152, + 60.476, 245.143, 265.166, - 273.39099999999996, + 273.391, 231.017, 261.472, 252.333, @@ -9867,26 +9783,26 @@ 124.289, 143.393, 225.952, - 217.19799999999998, + 217.198, 144.461, - 62.49100000000001, + 62.491, 118.387, 71.146, 195.925, 161.627, - 150.03799999999998, - 143.28799999999998, + 150.038, + 143.288, 137.408, 152.813, 82.167, 29.156, - 26.480999999999998, + 26.481, 24.075, 29.899, - 23.066999999999997, - 26.348000000000003, + 23.067, + 26.348, 23.073, - 25.363000000000003, + 25.363, 22.572, 23.838, 17.413, @@ -9903,21 +9819,21 @@ 6.16, 15.91, 8.913, - 11.109000000000002, + 11.109, 7.652, 8.115, 8.77, 7.718, 2.807, 9.271, - 5.422000000000001, + 5.422, 7.68, 2.174, 3.867, 5.56, - 3.1210000000000004, + 3.121, 3.661, - 0.7809999999999999, + 0.781, 3.275, 4.52, -4.977, @@ -9930,17 +9846,17 @@ -1.066, 0.616, 0.71, - 1.8219999999999998, + 1.822, 0.115, - 4.9430000000000005, + 4.943, 9.529, 2.516, 7.68, 11.489, - 12.380999999999998, + 12.381, 10.339, 11.682, - 12.265999999999998, + 12.266, 11.963, 23.1, 38.559, @@ -9955,13 +9871,13 @@ 15.91, 17.71, 18.745, - 25.633000000000003, - 23.160999999999998, + 25.633, + 23.161, 28.628, - 25.555999999999997, + 25.556, 27.725, 26.365, - 16.769000000000002, + 16.769, 40.536, 46.603, 71.465, @@ -9973,26 +9889,26 @@ 118.641, 222.703, 176.706, - 194.87400000000002, - 306.04900000000004, + 194.874, + 306.049, 194.609, - 264.48900000000003, + 264.489, 274.922, 183.687, - 132.05200000000002, + 132.052, 69.747, - 309.04400000000004, + 309.044, 177.614, 142.369, 303.203, 111.368, 370.517, 378.759, - 380.55400000000003, - 349.76800000000003, - 35.669000000000004, + 380.554, + 349.768, + 35.669, 192.523, - 241.28400000000002, + 241.284, 250.847, 312.904, 285.388, @@ -10000,8 +9916,8 @@ 309.639, 320.897, 348.601, - 342.19800000000004, - 251.87599999999998, + 342.198, + 251.876, 211.291, 438.135, 208.912, @@ -10011,12 +9927,12 @@ 342.969, 377.829, 352.041, - 286.45599999999996, + 286.456, 434.27, 250.957, 0.611, 38.543, - 239.80900000000003, + 239.809, 308.83, 498.584, 304.893, @@ -10026,30 +9942,30 @@ 413.856, 373.843, 528.55, - 185.03599999999997, + 185.036, 495.936, - 563.6080000000001, - 400.08099999999996, - 582.8330000000001, - 591.8340000000001, + 563.608, + 400.081, + 582.833, + 591.834, 594.405, 485.954, 270.308, - 80.84100000000001, + 80.841, 121.63, 264.39, - 243.05700000000002, + 243.057, 146.096, - 122.73700000000001, + 122.737, 0.556, 231.325, 473.408, 400.847, 181.055, - 432.06800000000004, + 432.068, 586.56, 37.354, - 170.99099999999999, + 170.991, 423.033, 0.556, 281.303, @@ -10060,21 +9976,21 @@ 363.256, 283.676, 9.436, - 432.49199999999996, - 461.31199999999995, + 432.492, + 461.312, 478.869, 400.324, 87.414, 428.963, 745.825, 92.98, - 472.89599999999996, + 472.896, 694.586, - 748.2310000000001, + 748.231, 713.09, 437.523, 764.94, - 332.49199999999996, + 332.492, 277.565, 489.478, 670.676, @@ -10083,67 +9999,67 @@ 604.425, 459.595, 242.446, - 294.92900000000003, - 506.91900000000004, + 294.929, + 506.919, 735.304, 743.893, 734.935, - 429.07300000000004, + 429.073, 686.868, 449.244, - 496.35400000000004, - 749.7230000000001, + 496.354, + 749.723, 343.789, 637.33, - 694.1289999999999, - 493.32099999999997, + 694.129, + 493.321, 542.346, 652.674, 297.01, - 779.3910000000001, + 779.391, 522.323, 777.525, 710.893, - 701.8639999999999, + 701.864, 787.699, 772.801, - 209.44099999999997, + 209.441, 441.564, 530.724, 719.74, 780.085, 366.344, - 173.46900000000002, + 173.469, 117.848, 392.154, 244.229, 139.776, 302.818, - 287.27099999999996, + 287.271, 276.992, - 487.24300000000005, - 345.82599999999996, + 487.243, + 345.826, 189.864, 171.68, 183.274, - 669.6360000000001, + 669.636, 481.616, - 322.54900000000004, + 322.549, 327.664, - 342.63800000000003, + 342.638, 760.75, 727.63, - 464.26300000000003, - 342.20300000000003, + 464.263, + 342.203, 469.301, - 245.28599999999997, - 337.93699999999995, + 245.286, + 337.937, 754.166, 549.674, 462.309, 472.444, - 365.13300000000004, - 252.72400000000002, + 365.133, + 252.724, 225.263, 274.349, 214.858, @@ -10153,7 +10069,7 @@ 246.69, 255.95, 316.405, - 217.97400000000002, + 217.974, 263.416, 152.29, 255.928, @@ -10161,36 +10077,36 @@ 163.333, 117.617, 149.746, - 111.03200000000001, + 111.032, 202.097, - 197.97299999999998, + 197.973, 152.84, 186.252, 199.74, 134.722, 194.565, - 197.71400000000003, + 197.714, 204.145, - 195.78799999999998, + 195.788, 191.268, 199.79, 204.172, 111.979, 156.143, 207.261, - 120.42399999999999, - 127.74700000000001, + 120.424, + 127.747, 205.235, 142.116, - 159.92600000000002, - 170.49599999999998, + 159.926, + 170.496, 145.232, - 234.61700000000002, + 234.617, 157.013, - 87.98100000000001, + 87.981, 201.458, 244.984, - 259.36400000000003, + 259.364, 293.249, 194.967, 315.832, @@ -10200,22 +10116,22 @@ 355.218, 116.609, 325.687, - 391.05300000000005, + 391.053, 342.644, 341.185, - 382.06199999999995, + 382.062, 395.914, 280.323, 396.519, 245.22, - 386.54900000000004, - 331.86400000000003, + 386.549, + 331.864, 300.291, 268.828, - 168.97099999999998, - 329.06199999999995, - 173.19299999999998, - 347.25699999999995, + 168.971, + 329.062, + 173.193, + 347.257, 271.795, 333.004, 252.493, @@ -10224,22 +10140,22 @@ 160.316, 293.404, 205.295, - 326.46299999999997, + 326.463, 194.455, 105.819, 100.286, 121.19, - 255.24599999999998, + 255.246, 334.584, - 245.40200000000002, + 245.402, 187.051, 189.291, 245.171, 324.531, 334.523, 337.414, - 341.14099999999996, - 343.18300000000005, + 341.141, + 343.183, 151.491, 209.551, 358.461, @@ -10248,42 +10164,42 @@ 352.994, 347.092, 347.852, - 381.25300000000004, + 381.253, 379.249, - 362.12199999999996, - 347.89599999999996, - 364.63800000000003, + 362.122, + 347.896, + 364.638, 92.385, 372.037, 303.159, 173.838, 165.359, 353.577, - 177.22299999999998, + 177.223, 79.707, - 370.62199999999996, - 373.56199999999995, - 228.53900000000002, - 390.36400000000003, + 370.622, + 373.562, + 228.539, + 390.364, 203.385, 238.851, 340.486, 461.461, 0.506, 279.926, - 456.67699999999996, + 456.677, 268.42, 415.26, 514.406, 251.998, - 612.8919999999999, + 612.892, 648.126, 632.04, 379.249, 64.815, - 40.931999999999995, + 40.932, 614.643, - 382.27099999999996, + 382.271, 2.648, 72.318, 694.702, @@ -10291,35 +10207,35 @@ 221.597, 637.259, 663.564, - 705.6410000000001, + 705.641, 522.433, 706.819, 620.214, 754.815, - 580.4209999999999, - 735.2819999999999, + 580.421, + 735.282, 571.739, - 87.87700000000001, - 411.31800000000004, + 87.877, + 411.318, 659.908, - 368.30400000000003, + 368.304, 375.351, 647.422, 673.181, 627.09, 657.172, - 451.85400000000004, + 451.854, 412.601, 734.682, - 630.8009999999999, + 630.801, 432.651, 561.719, - 512.3530000000001, - 656.2139999999999, - 750.0419999999999, + 512.353, + 656.214, + 750.042, 468.59, 485.894, - 544.3330000000001, + 544.333, 499.2, 517.511, 351.832, @@ -10330,18 +10246,18 @@ 456.291, 565.826, 561.78, - 438.87800000000004, + 438.878, 529.81, 657.832, 597.681, 619.245, - 585.5740000000001, - 610.2330000000001, + 585.574, + 610.233, 705.977, 628.797, - 513.3330000000001, + 513.333, 615.568, - 728.7689999999999, + 728.769, 773.181, 676.209, 715.171, @@ -10352,66 +10268,66 @@ 583.339, 644.482, 771.992, - 508.37199999999996, + 508.372, 454.59, 613.387, 480.009, 601.556, - 120.23200000000001, + 120.232, 45.21, 588.388, 566.977, 403.875, 785.888, 776.655, - 770.1419999999999, + 770.142, 767.747, - 766.3710000000001, - 762.9739999999999, - 764.6039999999999, - 760.6619999999999, - 754.8810000000001, + 766.371, + 762.974, + 764.604, + 760.662, + 754.881, 753.956, - 749.6460000000001, + 749.646, 738.365, - 739.2239999999999, - 744.2560000000001, - 574.4590000000001, + 739.224, + 744.256, + 574.459, 474.712, 323.199, 507.332, - 410.32099999999997, + 410.321, 560.607, 507.959, 705.817, - 680.2669999999999, + 680.267, 530.851, 415.689, 521.86, 554.612, 577.118, - 426.79900000000004, + 426.799, 390.1, 444.961, 480.119, 570.082, - 601.2919999999999, - 681.5939999999999, - 680.2560000000001, - 700.2510000000001, + 601.292, + 681.594, + 680.256, + 700.251, 688.784, 685.684, 689.466, - 697.0139999999999, + 697.014, 678.813, 659.842, - 666.8610000000001, + 666.861, 622.268, 366.284, - 573.1709999999999, + 573.171, 577.112, 590.391, - 582.3430000000001, + 582.343, 558.493, 559.242, 282.018, @@ -10419,10 +10335,10 @@ 108.109, 97.17, 99.559, - 103.45100000000001, + 103.451, 109.221, 118.74, - 122.68700000000001, + 122.687, 130.934, 137.656, 144.395, @@ -10435,7 +10351,7 @@ 150.44, 160.151, 157.327, - 179.84400000000002, + 179.844, 197.891, 182.019, 173.672, @@ -10443,15 +10359,15 @@ 175.01, 191.945, 225.44, - 235.12400000000002, + 235.124, 214.93, 195.452, 258.945, - 214.75400000000002, + 214.754, 235.377, 216.697, 262.265, - 260.66900000000004, + 260.669, 309.672, 267.837, 229.062, @@ -10473,10 +10389,10 @@ 349.514, 329.546, 343.403, - 325.79200000000003, + 325.792, 307.327, - 334.68300000000005, - 331.62199999999996, + 334.683, + 331.622, 327.074, 319.642, 315.546, @@ -10486,7 +10402,7 @@ 300.819, 294.802, 291.185, - 287.28700000000003, + 287.287, 284.573, 282.497, 279.007, @@ -10494,7 +10410,7 @@ 273.887, 227.834, 164.011, - 93.78399999999999, + 93.784, 80.863, 79.013, 78.016, @@ -10502,7 +10418,7 @@ 75.792, 70.259, 67.551, - 63.696999999999996, + 63.697, 62.453, 61.787, 64.655, @@ -10511,21 +10427,21 @@ 66.565, 69.164, 69.786, - 69.51100000000001, + 69.511, 66.384, - 66.21300000000001, + 66.213, 65.756, 65.304, 67.028, 67.529, 64.578, - 61.016000000000005, - 58.538000000000004, - 58.373000000000005, + 61.016, + 58.538, + 58.373, 55.989, - 53.913999999999994, + 53.914, 54.927, - 55.00899999999999, + 55.009, 55.235, 53.363, 49.113, @@ -10534,20 +10450,20 @@ 38.295, 34.755, 30.45, - 27.499000000000002, + 27.499, 24.57, 23.546, 20.854, 19.984, 17.419, 15.046, - 13.520999999999999, + 13.521, 12.227, 10.333, - 7.542000000000001, + 7.542, 5.989, - 3.7489999999999997, - 0.9470000000000001, + 3.749, + 0.947, -0.848, -1.724, -1.234, @@ -10556,63 +10472,63 @@ 3.072, 3.963, 5.263, - 6.122000000000001, + 6.122, 7.685, 9.425, 11.253, 12.475, - 14.610999999999999, - 17.022000000000002, + 14.611, + 17.022, 18.718, - 21.278000000000002, + 21.278, 23.199, - 25.555999999999997, + 25.556, 26.959, 29.112, 31.011, 33.604, - 35.861999999999995, + 35.862, 37.926, 40.448, 42.782, 45.573, 55.153, 69.654, - 81.36399999999999, + 81.364, 87.095, - 54.211000000000006, - 99.48200000000001, - 100.42299999999999, + 54.211, + 99.482, + 100.423, 99.24, - 103.51700000000001, + 103.517, 110.74, 115.26, - 118.40899999999999, + 118.409, 121.184, - 127.52600000000001, + 127.526, 133.351, 138.135, 142.82, - 146.86700000000002, + 146.867, 151.244, 157.178, 163.488, 169.808, 173.16, - 180.62599999999998, - 187.05599999999998, + 180.626, + 187.056, 193.31, 193.095, 199.796, 206.418, - 210.12400000000002, - 215.72299999999998, - 217.09900000000002, + 210.124, + 215.723, + 217.099, 225.489, 228.864, 235.481, 240.778, - 246.00799999999998, + 246.008, 247.39, 254.128, 259.055, @@ -10624,7 +10540,7 @@ 287.827, 295.215, 299.856, - 302.23400000000004, + 302.234, 309.892, 314.621, 317.44, @@ -10632,35 +10548,35 @@ 330.642, 331.875, 339.731, - 342.62699999999995, + 342.627, 346.481, - 350.74199999999996, + 350.742, 356.782, 364.467, 369.158, 371.195, 377.24, - 379.06699999999995, + 379.067, 384.787, - 390.55699999999996, + 390.557, 394.394, 399.459, - 399.87800000000004, + 399.878, 410.041, 415.084, 417.154, 421.751, 426.909, - 432.32599999999996, - 436.07599999999996, + 432.326, + 436.076, 439.94, 446.211, - 451.93699999999995, + 451.937, 456.407, 461.61, - 463.66900000000004, - 468.61199999999997, - 471.70599999999996, + 463.669, + 468.612, + 471.706, 478.296, 480.086, 481.941, @@ -10670,7 +10586,7 @@ 504.92, 510.327, 512.226, - 518.3430000000001, + 518.343, 519.24, 519.95, 524.58, @@ -10690,17 +10606,17 @@ 579.172, 585.007, 588.85, - 592.2909999999999, + 592.291, 592.484, 599.475, 602.933, - 607.5409999999999, + 607.541, 611.576, 615.832, 614.643, 623.391, 624.674, - 629.8430000000001, + 629.843, 631.236, 637.975, 640.595, @@ -10715,9 +10631,9 @@ 669.058, 667.434, 668.821, - 675.0039999999999, + 675.004, 678.252, - 681.1419999999999, + 681.142, 684.534, 688.674, 696.695, @@ -10728,53 +10644,53 @@ 707.293, 708.262, 715.21, - 718.7719999999999, + 718.772, 718.799, - 722.6310000000001, - 725.9010000000001, + 722.631, + 725.901, 723.291, - 729.0060000000001, + 729.006, 734.077, 735.04, - 736.5319999999999, + 736.532, 745.318, 741.426, 738.029, 755.674, 753.345, - 754.8480000000001, + 754.848, 755.977, 760.513, 759.913, - 760.2330000000001, + 760.233, 764.301, - 764.6310000000001, + 764.631, 772.047, 774.007, 775.565, - 775.8510000000001, + 775.851, 779.59, - 781.5110000000001, + 781.511, 784.148, 788.178, 791.558, 786.967, - 782.7439999999999, - 733.3660000000001, + 782.744, + 733.366, 790.253, 783.405, - 773.6110000000001, - 741.7289999999999, - 730.6360000000001, - 744.2610000000001, + 773.611, + 741.729, + 730.636, + 744.261, 735.436, 725.538, 714.428, 706.302, 687.826, - 671.3539999999999, + 671.354, 649.106, - 628.4169999999999, + 628.417, 630.014, 630.129, 608.818, @@ -10784,19 +10700,19 @@ 616.003, 620.891, 620.082, - 615.8919999999999, + 615.892, 584.633, 586.362, - 572.5930000000001, + 572.593, 555.085, 545.561, 554.111, - 573.8480000000001, + 573.848, 594.306, 596.937, 597.169, 593.364, - 613.4590000000001, + 613.459, 608.592, 602.993, 615.16, @@ -10816,7 +10732,7 @@ 581.831, 576.033, 574.2, - 517.9630000000001, + 517.963, 499.189, 507.425, 484.209, @@ -10826,24 +10742,24 @@ 497.119, 514.406, 498.055, - 466.17400000000004, - 441.87300000000005, - 432.73400000000004, + 466.174, + 441.873, + 432.734, 410.426, 409.655, - 407.05699999999996, + 407.057, 409.782, 400.412, 421.712, 450.23, - 458.48800000000006, + 458.488, 452.316, 439.483, - 446.18300000000005, + 446.183, 440.832, 451.667, 448.776, - 456.10400000000004, + 456.104, 465.205, 476.05, 477.019, @@ -10852,24 +10768,24 @@ 458.708, 453.186, 466.796, - 453.57199999999995, - 447.69699999999995, + 453.572, + 447.697, 411.048, 394.009, 409.496, 425.461, 440.15, - 440.88199999999995, - 453.64300000000003, + 440.882, + 453.643, 433.653, - 427.44300000000004, + 427.443, 428.875, 469.102, 476.369, - 451.82099999999997, + 451.821, 377.685, 329.045, - 299.69599999999997, + 299.696, 298.232, 321.949, 320.683, @@ -10881,34 +10797,34 @@ 306.099, 281.193, 227.675, - 219.84599999999998, + 219.846, 226.425, 229.662, - 224.05200000000002, + 224.052, 212.843, 195.391, - 182.59099999999998, + 182.591, 180.169, 182.988, 189.495, - 191.52599999999998, + 191.526, 196.729, 191.488, - 191.80700000000002, + 191.807, 196.195, - 203.93599999999998, + 203.936, 198.282, - 194.52700000000002, + 194.527, 193.69, - 199.90599999999998, + 199.906, 211.456, 215.293, 216.763, - 227.60299999999998, + 227.603, 239.924, 241.956, - 234.25900000000001, - 247.00400000000002, + 234.259, + 247.004, 236.924, 238.553, 243.398, @@ -10925,27 +10841,27 @@ 127.587, 118.228, 111.5, - 110.70700000000001, + 110.707, 108.665, - 105.25200000000001, - 102.22399999999999, - 105.10799999999999, + 105.252, + 102.224, + 105.108, 105.67, - 103.63799999999999, + 103.638, 105.571, 103.941, - 101.70100000000001, + 101.701, 108.065, 113.625, 116.064, 119.257, - 118.49799999999999, + 118.498, 119.197, 120.38, - 123.67299999999999, - 123.71700000000001, + 123.673, + 123.717, 124.834, - 117.42399999999999, + 117.424, 123.227, 135.977, 153.875, @@ -10955,24 +10871,24 @@ 124.135, 121.135, 124.344, - 135.05200000000002, + 135.052, 147.357, 153.363, 137.062, - 155.14700000000002, - 169.62599999999998, - 134.41899999999998, + 155.147, + 169.626, + 134.419, 107.514, 95.38, 90.662, 87.965, - 82.26100000000001, - 79.22800000000001, + 82.261, + 79.228, 74.796, 68.294, - 62.336999999999996, - 56.25899999999999, - 50.891000000000005, + 62.337, + 56.259, + 50.891, 47.985, 46.085, 44.246, @@ -10989,36 +10905,36 @@ 30.962, 28.495, 25.6, - 23.006999999999998, + 23.007, 19.802, 17.573, 16.692, - 13.905999999999999, + 13.906, 12.618, - 12.029000000000002, - 11.324000000000002, + 12.029, + 11.324, 10.603, 9.882, - 9.193999999999999, - 9.072000000000001, + 9.194, + 9.072, 6.722, 5.307, 4.652, - 3.8480000000000003, - 2.8510000000000004, + 3.848, + 2.851, 2.741, - 2.1959999999999997, + 2.196, 0.836, -0.204, -1.294, -2.048, - -1.5090000000000001, + -1.509, -0.92, - -0.8320000000000001, + -0.832, -0.193, 0.765, 2.813, - 3.5180000000000002, + 3.518, 4.475, 5.555, 5.874, @@ -11040,7 +10956,7 @@ 56.347, 68.542, 82.652, - 83.73100000000001, + 83.731, 60.493, 101.486, 101.838, @@ -11048,7 +10964,7 @@ 104.921, 101.178, 98.194, - 111.62100000000001, + 111.621, 122.77, 129.563, 133.241, @@ -11056,11 +10972,11 @@ 136.858, 154.035, 165.101, - 174.74099999999999, + 174.741, 186.412, 187.205, - 189.18099999999998, - 188.72400000000002, + 189.181, + 188.724, 192.457, 189.445, 183.923, @@ -11068,29 +10984,29 @@ 179.106, 169.72, 172.313, - 178.53400000000002, + 178.534, 174.201, - 154.72299999999998, + 154.723, 169.951, 194.956, - 227.71900000000002, - 252.42700000000002, + 227.719, + 252.427, 236.054, 227.477, 251.761, 225.032, 180.747, - 181.85299999999998, + 181.853, 244.956, - 247.56599999999997, + 247.566, 253.699, 277.768, 256.677, 225.665, 242.611, - 249.05200000000002, + 249.052, 250.324, - 237.78799999999998, + 237.788, 225.61, 266.813, 308.048, @@ -11098,36 +11014,36 @@ 289.533, 316.35, 258.428, - 241.03099999999998, + 241.031, 305.703, 326.535, 343.673, 278.908, 266.185, - 254.24900000000002, + 254.249, 317.335, 293.558, - 289.78700000000003, - 238.64700000000002, + 289.787, + 238.647, 296.536, 333.059, 278.809, - 232.22799999999998, + 232.228, 266.741, 311.736, - 375.68699999999995, + 375.687, 357.844, 310.228, 368.574, - 300.10900000000004, + 300.109, 273.518, 332.96, 394.785, 392.798, - 323.80400000000003, + 323.804, 474.619, 447.351, - 481.62699999999995, + 481.627, 478.588, 516.311, 518.766, @@ -11137,10 +11053,10 @@ 524.266, 536.494, 533.758, - 526.1709999999999, + 526.171, 530.955, 526.865, - 545.9580000000001, + 545.958, 558.736, 552.085, 551.133, @@ -11148,10 +11064,10 @@ 549.635, 585.161, 601.248, - 583.4159999999999, + 583.416, 557.37, - 588.2330000000001, - 594.5369999999999, + 588.233, + 594.537, 580.14, 565.359, 612.975, @@ -11161,7 +11077,7 @@ 391.086, 400.395, 461.593, - 477.11300000000006, + 477.113, 420.666, 325.726, 419.659, @@ -11169,34 +11085,34 @@ 308.428, 557.26, 662.633, - 668.7660000000001, + 668.766, 672.163, 710.447, - 701.6439999999999, + 701.644, 708.025, 703.5, - 699.6460000000001, + 699.646, 703.015, 720.919, 720.842, - 713.2719999999999, + 713.272, 716.927, 712.919, - 715.4739999999999, + 715.474, 715.584, - 722.5319999999999, + 722.532, 730.68, 745.39, - 750.1080000000001, + 750.108, 746.596, - 687.4789999999999, - 721.7439999999999, + 687.479, + 721.744, 712.457, 728.202, - 727.0239999999999, - 749.1389999999999, + 727.024, + 749.139, 775.18, - 757.0060000000001, + 757.006, 771.684, 772.488, 590.909, @@ -11205,31 +11121,31 @@ 691.173, 789.664, 762.33, - 509.85900000000004, + 509.859, 753.367, 487.595, 521.519, 584.82, 521.602, - 701.6110000000001, - 698.2919999999999, + 701.611, + 698.292, 755.96, - 753.4830000000001, + 753.483, 317.743, 684.148, 693.32, - 782.8380000000001, + 782.838, 720.451, 545.754, - 769.5310000000001, + 769.531, 523.011, 617.654, 597.559, - 362.73800000000006, + 362.738, 790.342, 746.095, 748.567, - 767.2239999999999, + 767.224, 701.98, 791.784, 581.864, @@ -11239,22 +11155,22 @@ 586.571, 559.451, 632.535, - 673.1210000000001, + 673.121, 501.777, 787.908, - 544.1519999999999, + 544.152, 743.21, 539.637, 657.832, 679.628, 716.547, - 740.3969999999999, + 740.397, 556.115, 389.027, 621.354, 701.633, 693.188, - 601.1659999999999, + 601.166, 281.765, 389.379, 497.191, @@ -11263,26 +11179,26 @@ 577.993, 346.431, 630.206, - 664.8960000000001, + 664.896, 625.461, 525.246, 600.026, 436.577, - 547.5319999999999, + 547.532, 513.492, - 214.68200000000002, + 214.682, 423.71, 608.895, 371.685, 272.527, - 229.62400000000002, + 229.624, 353.176, - 501.94199999999995, + 501.942, 501.491, 399.151, 573.193, 622.378, - 634.7040000000001, + 634.704, 623.611, 607.695, 346.338, @@ -11300,60 +11216,60 @@ 516.465, 559.677, 561.697, - 388.11300000000006, + 388.113, 125.28, 104.624, 124.95, - 413.38199999999995, + 413.382, 260.784, 202.845, 211.687, 233.076, 137.998, - 250.15900000000002, - 346.54699999999997, + 250.159, + 346.547, 379.348, 368.348, 130.582, 166.114, - 110.74600000000001, + 110.746, 125.038, 131.87, 130.417, 284.358, - 177.03599999999997, + 177.036, 151.689, 163.565, - 181.03900000000002, + 181.039, 302.476, 355.031, - 420.04900000000004, + 420.049, 289.82, 120.711, 95.001, 87.656, 93.195, - 84.78299999999999, + 84.783, 86.164, - 91.64200000000001, + 91.642, 102.581, 113.339, 119.351, 133.918, - 170.30900000000003, - 143.05200000000002, + 170.309, + 143.052, 112.139, 103.264, - 103.09299999999999, + 103.093, 105.042, - 104.22200000000001, - 104.50299999999999, + 104.222, + 104.503, 100.671, - 97.40100000000001, + 97.401, 98.64, 97.456, 88.311, - 86.79799999999999, + 86.798, 87.833, 92.958, 94.411, @@ -11364,22 +11280,22 @@ 97.863, 94.45, 133.357, - 208.69799999999998, + 208.698, 224.014, 286.362, 175.054, 78.985, 70.342, - 71.34899999999999, + 71.349, 91.494, - 117.95200000000001, + 117.952, 55.615, 49.911, 48.32, 47.621, 52.24, 67.749, - 141.30100000000002, + 141.301, 150.236, 109.816, 65.932, @@ -11389,47 +11305,47 @@ 54.949, 49.003, 45.7, - 41.38399999999999, - 37.513000000000005, - 35.150999999999996, + 41.384, + 37.513, + 35.151, 30.824, 29.272, 27.482, - 26.006999999999998, + 26.007, 24.84, 23.331, 19.918, 17.066, 17.408, 19.092, - 19.054000000000002, + 19.054, 18.52, 18.503, 17.066, 15.712, - 14.154000000000002, + 14.154, 12.144, 10.284, 8.709, 8.34, 8.252, - 6.077999999999999, + 6.078, 5.114, 4.74, 4.938, 4.999, 5.362, 5.676, - 5.757999999999999, + 5.758, 5.604, 4.756, - 4.531000000000001, + 4.531, 3.248, 2.725, 1.348, - 0.08199999999999999, + 0.082, -1.663, - -1.3769999999999998, + -1.377, -1.558 ], "yaxis": "y" @@ -21974,7 +21890,7 @@ 800, 800, 800, - 798.7539999999999, + 798.754, 800, 800, 800, @@ -22791,7 +22707,7 @@ 800, 800, 796.073, - 792.4169999999999, + 792.417, null, null, null, @@ -23622,7 +23538,7 @@ 800, 800, 800, - 799.1610000000001, + 799.161, 800, 800, 800, @@ -23666,8 +23582,8 @@ 800, 800, 800, - 795.5880000000001, - 795.5219999999999, + 795.588, + 795.522, 800, 800, 800, @@ -24615,7 +24531,7 @@ 800, 800, 800, - 796.6010000000001, + 796.601, 800, 800, 800, @@ -26377,7 +26293,7 @@ 800, 800, 800, - 795.8910000000001, + 795.891, 800, 800, 800, @@ -28059,7 +27975,7 @@ 800, 800, 800, - 792.8960000000001, + 792.896, null, null, null, @@ -28830,7 +28746,7 @@ 800, 798.418, 800, - 799.8660000000001, + 799.866, 800, 800, 800, @@ -29855,7 +29771,7 @@ 800, 800, 800, - 797.5980000000001, + 797.598, 795.23, 800, 800, @@ -30048,7 +29964,7 @@ 800, 800, 796.909, - 794.8610000000001, + 794.861, 800, 800, 800, @@ -31285,34 +31201,7 @@ } } } - }, - "text/html": [ - "
" - ] + } }, "metadata": {}, "output_type": "display_data" @@ -45498,11 +45387,11 @@ 94.197, 27.059, 79.618, - 67.46300000000001, + 67.463, 40.778, - 169.49900000000002, - 151.93200000000002, - 150.47799999999998, + 169.499, + 151.932, + 150.478, 209.925, 42.622, null, @@ -45510,15 +45399,15 @@ 104.47, 165.442, 67.942, - 50.571999999999996, + 50.572, 128.297, 124.697, 109.259, - 20.237000000000002, + 20.237, 0.556, 82.806, - 110.70200000000001, - 95.23200000000001, + 110.702, + 95.232, 104.321, 123.959, 128.264, @@ -45527,16 +45416,16 @@ 93.861, 133.208, 133.72, - 91.74700000000001, + 91.747, 136.616, 114.572, - 123.34200000000001, + 123.342, 125.693, - 152.42700000000002, + 152.427, 69.164, - 13.052999999999999, + 13.053, 85.256, - 45.523999999999994, + 45.524, 167.98, 152.334, 146.173, @@ -45544,39 +45433,39 @@ 181.479, 236.137, 258.202, - 205.06400000000002, + 205.064, 249.933, 229.574, 207.085, - 238.03599999999997, + 238.036, 124.152, 220.435, 163.289, 76.266, 218.112, - 214.50599999999997, - 106.34200000000001, + 214.506, + 106.342, 58.313, 200.269, 49.003, - 174.21200000000002, - 170.68900000000002, + 174.212, + 170.689, 160.465, 140.541, 118.305, 96.531, 33.654, 58.676, - 45.17100000000001, + 45.171, 24.229, 39.969, 31.975, 28.143, 26.805, 15.784, - 17.555999999999997, - 7.8389999999999995, - 15.050999999999998, + 17.556, + 7.839, + 15.051, 7.058, 5.285, 3.512, @@ -45584,13 +45473,13 @@ 5.235, 4.965, -4.763, - -3.0060000000000002, + -3.006, 6.815, 3.892, 6.865, 10.52, 10.13, - 21.750999999999998, + 21.751, 9.953, 31.54, 3.859, @@ -45600,29 +45489,29 @@ 28.595, 14.6, 18.283, - 13.857000000000001, + 13.857, 6.942, 9.689, 7.553, - 3.9410000000000003, + 3.941, 3.897, 5.4, - 7.2829999999999995, - 7.861000000000001, + 7.283, + 7.861, 5.433, 5.472, - 5.2075000000000005, - 4.9430000000000005, + 5.2075, + 4.943, -0.815, -0.193, 5.307, - 4.5360000000000005, + 4.536, 7.146, 2.009, 7.058, 4.96, 6.265, - 5.7860000000000005, + 5.786, 2.02, 7.443, 2.824, @@ -45630,13 +45519,13 @@ null, null, null, - 5.053999999999999, + 5.054, 7.3, 4.96, - 5.683999999999999, - 6.4079999999999995, - 3.1489999999999996, - 1.9709999999999999, + 5.684, + 6.408, + 3.149, + 1.971, 2.67, 2.081, null, @@ -46547,7 +46436,7 @@ null, null, null, - -1.4809999999999999, + -1.481, -0.672, -3.628, -5.638, @@ -46559,34 +46448,34 @@ -0.738, 0.759, -1.294, - 2.8569999999999998, - 1.5959999999999999, + 2.857, + 1.596, 2.51, 1.514, 1.8, 2.736, -1.47, 0.754, - 4.6080000000000005, - 1.2990000000000002, + 4.608, + 1.299, 3.589, 3.033, 3.2645, - 3.4960000000000004, + 3.496, 3.49, 1.855, - 5.702999999999999, - 3.5669999999999997, - 1.9269999999999998, + 5.703, + 3.567, + 1.927, 6.683, 1.585, - 5.587999999999999, + 5.588, 2.516, - 6.7379999999999995, + 6.738, 1.249, 2.989, 9.568, - 10.504000000000001, + 10.504, 9.524, 11.17, 15.503, @@ -46595,51 +46484,51 @@ 8.037, 6.54, 16.02, - 13.824000000000002, + 13.824, 16.202, 5.318, null, null, 15.442, - 22.791999999999998, - 17.875999999999998, - 20.930999999999997, + 22.792, + 17.876, + 20.931, 12.513, - 6.082999999999999, - 20.881999999999998, - 12.029000000000002, + 6.083, + 20.882, + 12.029, 18.316, 0.589, 8.913, 17.76, 19.72, 19.384, - 29.535999999999998, + 29.536, 28.545, - 30.581999999999997, + 30.582, 25.886, - 23.078000000000003, + 23.078, 32.509, - 6.457000000000001, - 0.5720000000000001, + 6.457, + 0.572, 41.857, 33.819, 19.775, 45.342, - 48.083999999999996, + 48.084, 17.435, 31.375, 51.618, 53.6, - 59.17100000000001, + 59.171, 20.425, 39.649, 33.643, 67.33, 42.82, - 9.363999999999999, + 9.364, 86.836, - 73.35300000000001, + 73.353, 75.979, 83.478, 97.225, @@ -46647,14 +46536,14 @@ 91.345, 123.227, 78.204, - 123.29299999999999, + 123.293, 146.674, 3.011, 76.205, 150.632, - 15.970999999999998, + 15.971, 65.827, - 220.91400000000002, + 220.914, 166.02, 280.02, 303.121, @@ -46662,15 +46551,15 @@ 148.072, 145.898, 11.478, - 497.16900000000004, + 497.169, 207.266, 596.558, - 640.1990000000001, + 640.199, 630.46, 360.399, 528.313, - 725.6310000000001, - 451.61699999999996, + 725.631, + 451.617, 93.244, 718.199, 649.217, @@ -46684,9 +46573,9 @@ 71.206, 540.865, 415.04, - 773.0989999999999, - 625.9730000000001, - 669.1460000000001, + 773.099, + 625.973, + 669.146, 721.442, 306.253, 482.728, @@ -46698,7 +46587,7 @@ 746.034, 567.456, 609.528, - 374.05699999999996, + 374.057, 734.33, 626.099, 229.238, @@ -46706,9 +46595,9 @@ 571.409, 340.298, 192.44, - 482.45300000000003, + 482.453, 726.341, - 377.64099999999996, + 377.641, 125.61, 31.689, 625.604, @@ -46716,39 +46605,39 @@ 666.823, 225.555, 526.496, - 721.1610000000001, + 721.161, 425.957, 742.324, 789.455, 705.828, - 174.15099999999998, + 174.151, 610.145, 445.699, 87.992, 406.027, - 474.76199999999994, + 474.762, 674.541, 390.348, - 669.0360000000001, + 669.036, 227.02, 404.64, - 473.68300000000005, + 473.683, 731.186, 676.055, - 233.62599999999998, - 734.7919999999999, + 233.626, + 734.792, 550.967, - 412.38599999999997, - 445.85900000000004, + 412.386, + 445.859, 587.132, 662.039, 559.451, - 668.7389999999999, - 772.1410000000001, - 342.68800000000005, - 417.68199999999996, - 766.5360000000001, - 463.87199999999996, + 668.739, + 772.141, + 342.688, + 417.682, + 766.536, + 463.872, 615.457, 565.045, 524.756, @@ -46756,21 +46645,21 @@ 286.659, 467.539, 209.87, - 31.291999999999998, + 31.292, 592.489, 119.499, - 505.75699999999995, + 505.757, 564.109, - 749.7280000000001, + 749.728, 494.086, - 342.36800000000005, + 342.368, 711.681, 607.965, 641.663, 236.472, 285.151, 610.508, - 762.5889999999999, + 762.589, 141.582, 653.434, 776.633, @@ -46783,22 +46672,22 @@ 166.025, 658.95, 409.661, - 245.53400000000002, + 245.534, 615.48, 786.581, 732.54, 261.885, 567.307, 180.703, - 798.7539999999999, + 798.754, 489.973, - 122.53299999999999, + 122.533, 90.47, 561.808, - 633.8290000000001, + 633.829, 611.549, 629.689, - 690.7660000000001, + 690.766, 712.765, 766.602, 488.459, @@ -46808,43 +46697,43 @@ 184.48, 602.58, 438.465, - 454.67800000000005, + 454.678, 277.62, 594.394, 694.735, 282.844, 675.158, 562.215, - 578.9069999999999, + 578.907, 493.585, - 629.5840000000001, + 629.584, 750.345, - 767.5269999999999, + 767.527, 275.863, 759.847, 721.21, 380.961, - 0.46799999999999997, + 0.468, 377.454, 713.409, - 204.59599999999998, - 427.26099999999997, + 204.596, + 427.261, 655.096, 767.423, 765.419, 338.305, - 348.51800000000003, - 289.58799999999997, + 348.518, + 289.588, 479.64, 440.32, 502.399, - 417.68800000000005, - 744.8889999999999, - 745.4010000000001, - 742.5269999999999, - 738.6569999999999, + 417.688, + 744.889, + 745.401, + 742.527, + 738.657, 599.448, - 484.80400000000003, + 484.804, 306.132, 257.222, 46.058, @@ -46864,7 +46753,7 @@ 280.02, 460.806, 525.819, - 501.61199999999997, + 501.612, 657.948, 638.514, 20.276, @@ -46873,45 +46762,45 @@ 576.606, 376.48, 15.057, - 631.2080000000001, + 631.208, 439.17, 622.24, - 498.62800000000004, + 498.628, 566.052, 513.492, - 390.30400000000003, + 390.304, 406.594, 603.599, 479.535, 409.441, - 408.26199999999994, + 408.262, 490.832, 494.895, 581.842, 575.433, - 403.07099999999997, - 333.52099999999996, + 403.071, + 333.521, 299.559, 386.72, - 512.7330000000001, + 512.733, 555.614, 551.65, - 411.42800000000005, + 411.428, 431.099, 541.746, 535.927, 435.608, 443.811, - 413.43699999999995, - 232.15599999999998, + 413.437, + 232.156, 463.569, 338.79, - 497.37300000000005, + 497.373, 333.819, - 404.93199999999996, - 337.07199999999995, + 404.932, + 337.072, 322.307, - 258.95599999999996, + 258.956, 470.126, 455.273, 397.852, @@ -46924,8 +46813,8 @@ 207.938, 358.907, 197.731, - 365.55199999999996, - 380.57599999999996, + 365.552, + 380.576, 347.219, 73.485, 211.373, @@ -46933,67 +46822,67 @@ 59.403, 90.756, 250.891, - 269.64799999999997, - 223.55700000000002, - 219.11900000000003, + 269.648, + 223.557, + 219.119, 224.762, 245.105, - 202.46599999999998, + 202.466, 60.674, 240.998, 185.327, 52.675, 189.264, 119.566, - 90.67299999999999, - 121.70200000000001, - 88.37799999999999, + 90.673, + 121.702, + 88.378, 116.037, - 88.76299999999999, - 102.43799999999999, + 88.763, + 102.438, 107.85, 97.764, - 103.95200000000001, - 92.25299999999999, + 103.952, + 92.253, 80.791, 61.445, 44.213, 0.429, 39.936, - 51.13399999999999, + 51.134, 54.354, - 64.15899999999999, - 26.226999999999997, + 64.159, + 26.227, 0.335, - 43.156000000000006, + 43.156, 41.059, 40.954, 48.133, 37.183, 25.748, 35.311, - 28.848000000000003, + 28.848, 20.342, 24.763, 29.96, 28.506, 23.535, 31.386, - 21.706999999999997, - 22.851999999999997, + 21.707, + 22.852, 23.155, - 23.618000000000002, + 23.618, 19.059, - 23.089000000000002, + 23.089, 14.897, 3.859, - 12.017999999999999, + 12.018, 15.013, 13.515, 5.769, 6.727, - 2.9619999999999997, - 10.152000000000001, + 2.962, + 10.152, 12.645, 9.106, 0.451, @@ -47004,7 +46893,7 @@ 6.215, 0.589, 3.782, - -1.0190000000000001, + -1.019, 0.09050000000000002, 1.2, 0.748, @@ -47802,7 +47691,7 @@ null, null, null, - -1.7790000000000001, + -1.779, 0.297, -1.024, 1.238, @@ -47813,25 +47702,25 @@ 4.591, 8.467, 7.245, - 12.232999999999999, + 12.233, 13.548, 19.56, - 30.499000000000002, + 30.499, 43.558, 40.36, 24.647, - 29.668000000000003, - 46.983000000000004, - 43.696000000000005, - 0.6659999999999999, + 29.668, + 46.983, + 43.696, + 0.666, 0.677, 16.059, 31.441, 62.458, 69.428, - 51.876999999999995, - 52.696999999999996, - 93.93799999999999, + 51.877, + 52.697, + 93.938, 62.965, 77.4, 75.638, @@ -47839,10 +47728,10 @@ 79.387, 41.852, 92.044, - 87.34299999999999, + 87.343, 63.438, 84.116, - 80.65899999999999, + 80.659, 117.98, 121.867, 153.159, @@ -47850,9 +47739,9 @@ 48.188, 226.486, 162.739, - 42.968999999999994, + 42.969, 121.735, - 112.87100000000001, + 112.871, 125.021, 129.31, 11.148, @@ -47863,34 +47752,34 @@ 130.158, 142.512, 78.473, - 100.30799999999999, - 213.03599999999997, - 224.52599999999998, + 100.308, + 213.036, + 224.526, 113.79, 131.892, 130.918, - 202.50400000000002, + 202.504, 215.15, - 141.59799999999998, + 141.598, 164.55, 116.45, - 167.91400000000002, + 167.914, 160.74, 152.179, 9.469, - 124.01899999999999, - 247.24599999999998, + 124.019, + 247.246, 227.889, 160.939, - 138.43200000000002, + 138.432, 138.493, 36.935, 107.619, 116.251, 92.897, 11.561, - 5.7860000000000005, - 126.84899999999999, + 5.786, + 126.849, 134.314, 134.81, 116.18, @@ -47898,16 +47787,16 @@ 118.255, 0.638, 71.184, - 118.89399999999999, + 118.894, 145.16, 10.074, 60.41, - 148.17700000000002, + 148.177, 118.723, 157.079, 157.239, 83.5, - 171.43200000000002, + 171.432, 168.602, 171.861, 94.934, @@ -47921,7 +47810,7 @@ 259.777, 306.815, 29.987, - 12.359000000000002, + 12.359, 152.091, 86.324, 302.46, @@ -47929,20 +47818,20 @@ 17.127, 260.9, 315.48, - 25.534000000000002, + 25.534, 156.336, 240.37, 171.845, - 189.40099999999998, - 197.78099999999998, + 189.401, + 197.781, 171.856, 170.391, 160.482, - 264.54400000000004, + 264.544, 171.696, 281.435, - 312.66700000000003, - 355.75800000000004, + 312.667, + 355.758, 436.912, 318.183, 316.025, @@ -47951,7 +47840,7 @@ 123.6285, 0.578, 299.459, - 346.64599999999996, + 346.646, 326.205, 101.8, 262.172, @@ -47972,13 +47861,13 @@ 400.401, 392.319, 455.46, - 485.55800000000005, + 485.558, 366.829, 378.236, - 450.25199999999995, + 450.252, 408.224, - 400.97900000000004, - 345.36300000000006, + 400.979, + 345.363, 357.222, 446.789, 129.376, @@ -47989,20 +47878,20 @@ 609.198, 623.765, 618.056, - 457.30400000000003, + 457.304, 51.145, 336.059, 189.032, - 136.47799999999998, + 136.478, 245.11, 580.383, - 432.11699999999996, + 432.117, 622.064, 579.986, 598.44, - 264.58799999999997, - 522.5930000000001, - 615.1709999999999, + 264.588, + 522.593, + 615.171, 339.324, 324.14, 107.206, @@ -48012,32 +47901,32 @@ 445.974, 305.466, 337.7, - 336.92400000000004, + 336.924, 403.566, 217.308, 156.782, 334.788, - 354.50199999999995, - 382.55199999999996, - 404.76099999999997, + 354.502, + 382.552, + 404.761, 437.21, 446.305, 463.608, 121.509, - 471.50300000000004, - 451.62800000000004, + 471.503, + 451.628, 441.339, - 111.90799999999999, + 111.908, 191.482, 473.523, - 34.788000000000004, + 34.788, 250.263, 353.577, 457.86, 268.828, 415.051, - 394.08099999999996, - 361.36199999999997, + 394.081, + 361.362, 30.516, 128.154, 36.754, @@ -48046,31 +47935,31 @@ 393.376, 422.18, 216.13, - 488.54699999999997, + 488.547, 328.908, 538.602, 540.529, 518.645, 426.909, - 161.97899999999998, + 161.979, 67.997, 204.938, - 0.46799999999999997, + 0.468, 181.033, 44.153, - 262.33099999999996, + 262.331, 462.909, 371.844, 560.442, 563.487, - 378.69800000000004, + 378.698, 657.42, 682.689, 531.297, 731.153, - 747.9939999999999, + 747.994, 758.295, - 465.73900000000003, + 465.739, 608.818, 616.25, 800, @@ -48078,9 +47967,9 @@ 543.535, 587.573, 746.965, - 234.69400000000002, + 234.694, 767.659, - 672.9169999999999, + 672.917, 394.565, 516.14, 487.171, @@ -48100,38 +47989,38 @@ 661.554, 800, 511.45, - 748.9689999999999, + 748.969, 593.987, 650.653, 572.906, 515.48, 725.835, - 666.7510000000001, + 666.751, 436.164, 474.635, 800, 800, 670.187, 800, - 252.03599999999997, + 252.036, 562.187, 354.684, 346.096, - 659.0110000000001, + 659.011, 339.528, - 529.3480000000001, - 486.85699999999997, + 529.348, + 486.857, 493.469, 796.073, 491.162, 662.936, 619.752, 428.853, - 545.9630000000001, - 757.0010000000001, + 545.963, + 757.001, 714.23, 666.663, - 472.69699999999995, + 472.697, 517.974, 261.241, 520.495, @@ -48142,8 +48031,8 @@ 212.827, 595.341, 662.903, - 792.4169999999999, - 572.8290000000001, + 792.417, + 572.829, 371.376, 741.388, 649.332, @@ -48152,20 +48041,20 @@ 764.285, 697.548, 697.201, - 680.5039999999999, + 680.504, 600.4304999999999, 520.357, 759.798, - 600.9780000000001, - 448.68300000000005, + 600.978, + 448.683, 730.454, - 720.4839999999999, - 635.1669999999999, + 720.484, + 635.167, 688.569, - 419.22900000000004, + 419.229, 541.592, 420.528, - 442.19800000000004, + 442.198, 464.07, 293.475, 208.896, @@ -48179,14 +48068,14 @@ 619.476, 352.163, 563.663, - 549.3430000000001, + 549.343, 311.577, 516.405, 512.375, 490.849, 301.293, 371.608, - 238.36599999999999, + 238.366, 0.385, 95.391, 130.136, @@ -48204,13 +48093,13 @@ 354.745, 217.011, 260.47, - 198.63400000000001, + 198.634, 314.434, 304.172, 161.715, 218.31, 317.715, - 177.46599999999998, + 177.466, 311.687, 223.782, 293.8, @@ -48221,16 +48110,16 @@ 94.99, 279.541, 229.761, - 155.53799999999998, + 155.538, 295.848, 303.952, 306.594, 301.133, - 129.28799999999998, + 129.288, 176.497, 300.384, 302.933, - 204.92700000000002, + 204.927, 250.065, 299.988, 199.796, @@ -48240,41 +48129,41 @@ 195.688, 148.502, 210.834, - 246.49200000000002, + 246.492, 196.988, 247.544, - 304.02299999999997, + 304.023, 229.238, - 127.43299999999999, + 127.433, 128.22, 57.646, - 177.93900000000002, + 177.939, 133.219, 273.232, - 196.61900000000003, + 196.619, 166.136, 219.642, - 175.03799999999998, + 175.038, 222.604, 181.551, 180.84, - 178.81400000000002, - 200.59400000000002, + 178.814, + 200.594, 50.28, - 184.06099999999998, + 184.061, 218.993, 162.656, 150.153, - 199.12900000000002, - 106.64399999999999, + 199.129, + 106.644, 195.424, - 153.89700000000002, + 153.897, 204.095, 78.672, 159.1, - 141.16299999999998, + 141.163, 189.511, - 183.84099999999998, + 183.841, 179.128, 176.387, 176.541, @@ -48304,39 +48193,39 @@ 106.375, 0.462, 0.517, - 111.86399999999999, - 111.07600000000001, + 111.864, + 111.076, 56.199, 109.551, - 99.81200000000001, + 99.812, 102.46, 106.088, 76.657, - 92.03299999999999, + 92.033, 80.94, 76.156, 83.5, - 54.608000000000004, + 54.608, 86.28, 80.626, 66.24, 77.604, - 78.86399999999999, + 78.864, 56.705, 76.882, 81.182, - 51.111999999999995, + 51.112, 82.646, - 87.98700000000001, + 87.987, 85.069, 0.484, 0.517, 45.381, 90.376, - 91.76899999999999, + 91.769, 68.999, 35.278, - 88.09700000000001, + 88.097, 98.227, 96.944, 90.431, @@ -48357,28 +48246,28 @@ 0.49, 168.101, 189.5, - 143.72899999999998, - 194.19099999999997, - 189.40099999999998, + 143.729, + 194.191, + 189.401, 195.947, 213.372, 36.5, 44.268, 288.944, 315.238, - 224.83900000000003, + 224.839, 296.426, 244.923, 69.544, 16.02, 194.918, 68.024, - 234.93099999999998, + 234.931, 214.704, 334.975, 329.546, 302.587, - 26.238000000000003, + 26.238, 290.634, 149.944, 233.835, @@ -48390,24 +48279,24 @@ 28.435, 126.855, 160.751, - 121.23899999999999, + 121.239, 132.894, 113.515, 105.819, - 99.20700000000001, + 99.207, 8.291, 50.545, - 56.788000000000004, + 56.788, 54.982, 39.87, 44.676, 41.631, - 41.196000000000005, + 41.196, 36.043, 38.741, 18.377, 37.855, - 31.066999999999997, + 31.067, 30.725, 25.864, 35.449, @@ -48417,25 +48306,25 @@ 0.534, 19.808, 20.166, - 20.991999999999997, - 14.914000000000001, + 20.992, + 14.914, 20.314, - 21.035999999999998, + 21.036, 14.308, - 14.770999999999999, + 14.771, 9.205, 12.706, 3.077, 6.303, 11.401, - 11.312999999999999, + 11.313, 5.197, 4.09, 9.43, 7.691, 5.676, - 0.14300000000000002, - 3.5839999999999996, + 0.143, + 3.584, null, null, null, @@ -49260,12 +49149,12 @@ null, null, null, - 0.5720000000000001, + 0.572, -5.148, 0.016, null, null, - -9.177999999999999, + -9.178, 2.637, 0.413, 3.1239999999999997, @@ -49276,49 +49165,49 @@ 6.034, 11.77, 8.693, - 15.155999999999999, + 15.156, 16.125, 16.257, 14.38, 20.893, - 23.089000000000002, + 23.089, 30.439, - 29.221999999999998, + 29.222, 33.77, 33.478, 24.625, 16.516, - 14.902999999999999, - 20.182000000000002, + 14.903, + 20.182, 42.22, 29.2, 15.31, 45.078, - 43.36600000000001, + 43.366, 46.542, 29.261, 48.018, 39.506, 36.814, 54.051, - 47.108999999999995, - 53.153999999999996, + 47.109, + 53.154, 0.517, 58.863, 60.878, 39.589, - 0.5670000000000001, + 0.567, 42.386, 32.927, 34.529, - 38.211999999999996, - 56.93600000000001, + 38.212, + 56.936, 43.503, 55.235, 50.467, - 50.556000000000004, + 50.556, 16.747, - 20.898000000000003, + 20.898, 61.027, 46.658, 57.173, @@ -49328,18 +49217,18 @@ 71.421, 83.77, 26.783, - 41.461000000000006, + 41.461, 78.044, 74.124, - 59.63399999999999, + 59.634, 115.508, 118.156, 107.745, - 79.59100000000001, + 79.591, 126.271, - 122.63799999999999, - 188.74099999999999, - 166.05900000000003, + 122.638, + 188.741, + 166.059, 138.108, 126.805, 122.39, @@ -49348,25 +49237,25 @@ 100.264, 136.451, 158.615, - 121.37700000000001, + 121.377, 125.346, 167.886, 163.036, 172.555, 116.609, 119.758, - 82.70100000000001, + 82.701, 158.208, 125.814, 124.834, - 156.18200000000002, + 156.182, 89.572, 148.832, 146.68, 105.83, - 119.59899999999999, + 119.599, 35.113, - 90.40899999999999, + 90.409, 117.215, 33.467, 67.738, @@ -49374,21 +49263,21 @@ 92.809, 108.742, 107.195, - 98.84899999999999, + 98.849, 99.587, 113.801, - 117.41799999999999, + 117.418, 115.057, - 110.70200000000001, + 110.702, 48.915, 88.851, - 114.15899999999999, + 114.159, 143.404, 159.689, 106.71, 136.847, 85.322, - 169.53799999999998, + 169.538, 120.303, 46.845, 134.782, @@ -49413,12 +49302,12 @@ 121.603, 260.889, 248.067, - 235.44299999999998, - 229.06799999999998, - 167.58900000000003, - 167.89700000000002, + 235.443, + 229.068, + 167.589, + 167.897, 225.467, - 144.08700000000002, + 144.087, 126.579, 203.523, 270.215, @@ -49430,9 +49319,9 @@ 150.809, 356.281, 501.089, - 540.1659999999999, - 598.1759999999999, - 477.20599999999996, + 540.166, + 598.176, + 477.206, 603.368, 338.476, 31.138, @@ -49446,7 +49335,7 @@ 538.3, 680.074, 689.962, - 594.3330000000001, + 594.333, 649.607, 619.317, 597.389, @@ -49457,10 +49346,10 @@ 551.612, 286.203, 377.162, - 325.07599999999996, + 325.076, 300.252, - 294.16900000000004, - 221.92700000000002, + 294.169, + 221.927, 138.68, 70.925, 275.357, @@ -49468,43 +49357,43 @@ 255.422, 218.519, 71.25, - 204.33700000000002, - 228.15900000000002, + 204.337, + 228.159, 461.527, 470.374, 384.898, 347.764, - 341.87300000000005, + 341.873, 441.509, 522.923, - 507.12300000000005, + 507.123, 41.841, - 446.00699999999995, + 446.007, 166.46, 587.512, 587.754, 549.63, - 393.93199999999996, + 393.932, 578.258, 596.569, 105.125, - 712.2260000000001, + 712.226, 503.555, 469.895, 526.391, 528.66, - 756.0369999999999, - 756.1419999999999, - 168.28799999999998, + 756.037, + 756.142, + 168.288, 800, 626.887, 800, 589.665, - 739.5210000000001, - 659.7919999999999, + 739.521, + 659.792, 518.381, 800, - 412.38599999999997, + 412.386, 631.996, 601.595, 677.068, @@ -49517,20 +49406,20 @@ 445.996, 736.681, 714.835, - 463.81699999999995, - 379.00699999999995, + 463.817, + 379.007, 669.933, 504.931, 597.02, 179.035, - 628.4119999999999, - 799.1610000000001, + 628.412, + 799.161, 782.414, 749.073, 552.085, 628.77, - 508.19599999999997, - 788.8330000000001, + 508.196, + 788.833, 734.456, 98.26, 800, @@ -49539,24 +49428,24 @@ 471.029, 800, 800, - 5.6370000000000005, + 5.637, 515.656, 800, - 310.97700000000003, + 310.977, 44.037, 74.565, 30.621, 455.251, - 384.51199999999994, - 505.05300000000005, + 384.512, + 505.053, 717.059, - 377.55300000000005, + 377.553, 594.57, 800, 800, 652.944, 406.6, - 464.74800000000005, + 464.748, 800, 800, 697.658, @@ -49573,14 +49462,14 @@ 800, 800, 662.628, - 445.25300000000004, + 445.253, 451.089, - 698.9580000000001, - 392.57199999999995, + 698.958, + 392.572, 800, 800, 720.17, - 434.04400000000004, + 434.044, 800, 800, 782.331, @@ -49597,15 +49486,15 @@ 800, 800, 800, - 740.4630000000001, + 740.463, 693.293, 800, - 187.55200000000002, + 187.552, 397.009, 800, 800, 800, - 728.8739999999999, + 728.874, 800, 651.727, 752.712, @@ -49623,99 +49512,99 @@ 800, 800, 800, - 493.70599999999996, + 493.706, 800, 756.643, 508.648, - 795.5880000000001, - 795.5219999999999, + 795.588, + 795.522, 800, 800, 563.244, 328.407, 800, - 403.04900000000004, + 403.049, 800, 551.898, 800, 800, - 419.74699999999996, + 419.747, 272.472, 437.705, 303.88, 378.55, - 364.75300000000004, - 520.4730000000001, - 478.92900000000003, + 364.753, + 520.473, + 478.929, 460.096, 418.431, - 381.20300000000003, + 381.203, 296.844, 289.996, 258.472, - 302.17400000000004, - 356.19199999999995, + 302.174, + 356.192, 158.334, - 355.80699999999996, + 355.807, 0.264, 353.654, 308.907, 153.55, 219.708, - 355.80199999999996, + 355.802, 0.512, 152.645, 304.778, 380.537, 383.785, - 108.54899999999999, + 108.549, 546.508, 642.572, 357.602, 531.82, - 384.14300000000003, - 493.61199999999997, + 384.143, + 493.612, 620.71, 429.095, 181.942, 515.612, - 433.31199999999995, + 433.312, 42.887, 596.315, 512.606, 16.912, - 375.64300000000003, + 375.643, 205.725, - 311.54900000000004, + 311.549, 316.4, 222.588, 206.782, 276.986, 285.514, - 393.60699999999997, - 115.77799999999999, + 393.607, + 115.778, 53.528, 0.457, 75.01, 229.882, 255.593, 0.473, - 121.55799999999999, - 152.38299999999998, - 113.87799999999999, + 121.558, + 152.383, + 113.878, 128.418, 96.652, - 114.29700000000001, + 114.297, 82.156, - 114.37899999999999, + 114.379, 74.086, 136.775, 132.327, 119.329, - 97.59899999999999, + 97.599, 60.757, 128.374, - 135.42700000000002, + 135.427, 140.695, 144.813, 146.404, @@ -49723,13 +49612,13 @@ 157.828, 100.743, 116.796, - 42.913999999999994, + 42.914, 39.126, - 95.61200000000001, - 21.156999999999996, + 95.612, + 21.157, 72.192, 32.79, - 106.36399999999999, + 106.364, 84.094, 35.509, 99.24, @@ -49750,17 +49639,17 @@ 67.617, 22.764, 21.691, - 33.510999999999996, + 33.511, 33.83, 34.271, 33.164, - 20.397000000000002, + 20.397, 28.451, 32.503, 19.158, - 28.798000000000002, + 28.798, 5.142, - 21.278000000000002, + 21.278, 23.309, 14.3765, 5.444, @@ -49772,26 +49661,26 @@ 5.626, 12.387, 12.1, - 12.265999999999998, + 12.266, 6.331, 12.007, - 15.177999999999999, + 15.178, 7.746, 11.886, 9.579, 11.495, 7.3, - 11.802999999999999, - 3.4019999999999997, + 11.803, + 3.402, 4.872, 6.023, 5.428, 5.318, - 5.207999999999999, + 5.208, 2.505, 6.237, - 3.0389999999999997, - 1.3430000000000002, + 3.039, + 1.343, 2.758, 0.644, 1.899, @@ -49803,14 +49692,14 @@ 0.616, 6.485, 1.123, - 5.8020000000000005, + 5.802, 9.975, 9.458, 8.693, 7.564, 5.312, 4.913, - 4.513999999999999, + 4.514, 1.315, 0, 3.033, @@ -49821,13 +49710,13 @@ -0.617, 1.695, -1.514, - -0.08800000000000001, + -0.088, -0.36350000000000005, -0.639, null, null, null, - -7.178999999999999, + -7.179, null, null, null, @@ -50735,9 +50624,9 @@ -2.715, null, null, - -1.8719999999999999, + -1.872, -1.4455, - -1.0190000000000001, + -1.019, -1.696, -0.127, -3.045, @@ -50747,80 +50636,80 @@ null, -1.861, -1.454, - 0.9740000000000001, + 0.974, -1.052, 0.825, - 0.14800000000000002, + 0.148, 2.84, - 3.7489999999999997, + 3.749, 4.668, 4.008, - 3.4739999999999998, + 3.474, -3.623, 4.723, - 7.867000000000001, - 3.2969999999999997, - 7.162000000000001, + 7.867, + 3.297, + 7.162, 11.462, - 7.377000000000001, + 7.377, 10.146, 6.193, 6.903, 7.806, 3.523, 13.257, - 5.537999999999999, - 1.8880000000000001, + 5.538, + 1.888, 13.042, - 14.527999999999999, + 14.528, 7.256, 9.452, 13.807, 10.273, 18.867, - 12.607000000000001, + 12.607, 15.905, 14.627, 8.461, 16.852, 18.701, - 21.156999999999996, + 21.157, 11.087, 13.13, 24.174, 24.581, 33.434, - 17.182000000000002, + 17.182, 8.379, 32.503, - 31.781999999999996, + 31.782, 32.107, 59.562, 34.1, - 26.453000000000003, + 26.453, 36.869, 1.403, - 25.688000000000002, + 25.688, 28.336, 17.925, - 45.358000000000004, + 45.358, 89.792, - 110.31700000000001, + 110.317, 93.663, 116.152, 116.906, 106.755, 71.972, 145.518, - 154.07299999999998, + 154.073, 172.362, - 178.40200000000002, + 178.402, 191.114, 208.637, - 212.77200000000002, + 212.772, 182.85, 183.957, - 303.88599999999997, + 303.886, 224.333, 347.186, 361.175, @@ -50837,27 +50726,27 @@ 455.3, 665.446, 197.136, - 494.60900000000004, + 494.609, 615.067, 398.259, 502.746, - 669.3989999999999, + 669.399, 677.184, 437.65, 302.317, 402.746, 261.775, 718.887, - 716.6189999999999, + 716.619, 434.352, - 479.23199999999997, + 479.232, 654.276, - 737.7489999999999, + 737.749, 360.811, 289.599, 715.727, 642.929, - 499.64099999999996, + 499.641, 638.624, 730.327, 732.75, @@ -50873,32 +50762,32 @@ 775.637, 787.325, 613.971, - 672.2510000000001, + 672.251, 498.055, - 385.55800000000005, + 385.558, 590.259, 525.279, 584.534, 381.352, 622.196, 527.036, - 220.55599999999998, + 220.556, 264.286, 274.603, - 510.56300000000005, + 510.563, 590.254, - 525.1469999999999, + 525.147, 406.06, 502.19, 754.056, 477.911, - 705.1289999999999, + 705.129, 601.369, - 779.4960000000001, + 779.496, 755.597, 323.991, 581.005, - 60.861999999999995, + 60.862, 673.066, 664.665, 603.764, @@ -50906,32 +50795,32 @@ 536.4, 313.096, 143.806, - 725.1189999999999, + 725.119, 498.259, 142.033, 305.703, 535.976, 383.962, 494.466, - 546.3919999999999, + 546.392, 320.87, 229.982, 643.766, - 796.6010000000001, + 796.601, 721.012, 535.283, - 668.3480000000001, + 668.348, 705.922, - 274.14599999999996, + 274.146, 762, 599.007, - 787.2589999999999, - 504.85400000000004, - 785.4860000000001, - 146.94899999999998, + 787.259, + 504.854, + 785.486, + 146.949, 574.217, - 614.3009999999999, - 746.6560000000001, + 614.301, + 746.656, 721.095, 578.181, 600.554, @@ -50942,35 +50831,35 @@ 143.53, 496.64, 420.462, - 711.0089999999999, + 711.009, 275.214, 553.401, 748.176, 670.676, - 566.8340000000001, + 566.834, 113.906, - 312.85400000000004, + 312.854, 739.13, 343.101, - 711.3889999999999, + 711.389, 732.59, 680.658, 327.003, - 332.43699999999995, - 6.9910000000000005, + 332.437, + 6.991, 18.233, - 316.95599999999996, - 520.4680000000001, + 316.956, + 520.468, 283.868, 293.123, 19.516, 528.175, - 770.7919999999999, + 770.792, 36.264, - 441.92800000000005, + 441.928, 704.623, - 705.7510000000001, - 772.7189999999999, + 705.751, + 772.719, 80.053, 604.265, 352.796, @@ -50981,28 +50870,28 @@ 400.847, 760.53, 509.528, - 678.8960000000001, + 678.896, 485.47, 721.585, 452.839, 382.233, 516.173, - 728.5989999999999, + 728.599, 289.654, - 83.02600000000001, + 83.026, 380.62, - 486.95099999999996, + 486.951, 244.637, 593.254, - 124.75200000000001, - 417.24699999999996, + 124.752, + 417.247, 781.742, 530.526, 164.842, 271.03, 70.628, 516.531, - 118.81700000000001, + 118.817, 209.546, 657.943, 679.683, @@ -51010,37 +50899,37 @@ 222.946, 70.116, 482.431, - 404.56300000000005, + 404.563, 149.124, 432.282, - 0.14300000000000002, - 183.24099999999999, + 0.143, + 183.241, 570.765, - 778.5210000000001, - 437.82599999999996, - 382.64599999999996, + 778.521, + 437.826, + 382.646, 218.172, 753.775, 313.603, 359.017, 258.087, - 312.72700000000003, - 491.00300000000004, + 312.727, + 491.003, 5.956, 616.432, 602.035, - 116.76899999999999, + 116.769, 412.43, - 390.35900000000004, + 390.359, 295.82, 214.28, 136.203, 255.268, 212.183, 178.358, - 421.12300000000005, + 421.123, 627.211, - 503.69300000000004, + 503.693, 534.627, 230.989, 19.175, @@ -51048,7 +50937,7 @@ 150.352, 209.722, 179.205, - 203.02200000000002, + 203.022, 126.574, 158.907, 129.987, @@ -51056,79 +50945,79 @@ 507.222, 653.379, 766.701, - 534.5830000000001, + 534.583, 547.433, 792.164, - 684.8860000000001, + 684.886, 566.195, 662.985, - 374.87800000000004, + 374.878, 769.801, 797.025, 784.836, 627.878, 618.194, 766.25, - 466.11300000000006, + 466.113, 515.43, 789.18, - 596.0840000000001, + 596.084, 604.122, 588.09, 575.56, - 404.11699999999996, + 404.117, 738.437, 514.99, 564.747, - 512.2040000000001, + 512.204, 439.671, - 486.98900000000003, + 486.989, 599.448, 365.298, 675.995, 413.151, 345.936, - 211.65400000000002, + 211.654, 126.86, 178.82, - 264.92400000000004, + 264.924, 220.088, 77.218, - 229.86599999999999, + 229.866, 212.799, 91.516, 559.826, 278.055, - 236.37900000000002, + 236.379, 531.01, - 550.5880000000001, - 142.67700000000002, + 550.588, + 142.677, 84.177, - 425.80800000000005, + 425.808, 577.636, 580.702, - 332.50300000000004, + 332.503, 583.763, - 570.4069999999999, + 570.407, 544.488, 543.893, 545.66, - 197.69799999999998, - 430.37199999999996, + 197.698, + 430.372, 342.06, 503.715, - 335.82300000000004, + 335.823, 348.292, 312.86, 315.59, - 134.17700000000002, + 134.177, 205.422, 473.782, 479.629, 18.586, 138.95, 44.065, - 286.07599999999996, + 286.076, 259.452, 399.79, 346.459, @@ -51137,24 +51026,24 @@ 122.979, 323.777, 36.71, - 442.48900000000003, + 442.489, 448.931, 311.059, 438.366, 432.035, 302.988, 232.294, - 257.16200000000003, + 257.162, 425.555, 420.82, 421.519, - 416.61400000000003, + 416.614, 416.075, 216.835, 302.361, - 335.23900000000003, - 406.51199999999994, - 307.29900000000004, + 335.239, + 406.512, + 307.299, 233.533, 277.9, 292.275, @@ -51162,27 +51051,27 @@ 106.76, 129.877, 221.459, - 201.74400000000003, + 201.744, 72.45, - 109.47399999999999, + 109.474, 135.762, - 159.17700000000002, + 159.177, 244.885, - 173.49599999999998, - 232.12900000000002, + 173.496, + 232.129, 263.961, 290.166, - 189.97400000000002, + 189.974, 79.574, 141.356, - 26.398000000000003, + 26.398, 207.833, - 18.944000000000003, + 18.944, 152.334, - 183.84099999999998, + 183.841, 157.734, - 163.96099999999998, - 165.94299999999998, + 163.961, + 165.943, 106.529, 151.018, 199.84, @@ -51196,30 +51085,30 @@ 72.671, 73.436, 64.952, - 62.413999999999994, + 62.414, 38.912, 38.427, 39.633, 40.272, - 40.056999999999995, + 40.057, 38.235, - 28.131999999999998, + 28.132, 34.194, 20.788, 13.835, 26.381, - 7.6739999999999995, + 7.674, 11.627, 9.161, 20.849, - 6.457000000000001, + 6.457, 0.446, 5.566, - 14.479000000000001, - 9.908999999999999, + 14.479, + 9.909, 15.453, 10.058, - 5.4110000000000005, + 5.411, 0.379, 5.502000000000001, 10.625, @@ -51227,12 +51116,12 @@ 6.155, 8.23, 7.388, - 5.0760000000000005, + 5.076, 5.874, - 2.8510000000000004, - 1.7009999999999998, + 2.851, + 1.701, 1.69, - 2.9389999999999996, + 2.939, 3.028, 0.847, 0.589, @@ -52019,7 +51908,7 @@ null, null, null, - -1.2229999999999999, + -1.223, 0.919, -2.45, 0.479, @@ -52029,33 +51918,33 @@ 6.76, 9.067, 10.526, - 13.597999999999999, + 13.598, 17.039, 17.413, 15.8, 23.276, 16.108, 19.67, - 26.673000000000002, - 12.595999999999998, + 26.673, + 12.596, 32.338, - 37.611999999999995, + 37.612, 23.717, - 24.543000000000003, + 24.543, 38.774, - 33.400999999999996, + 33.401, 36.897, 50.968, 76.563, 90.266, 101.089, 64.737, - 61.428999999999995, + 61.429, 97.274, - 126.50200000000001, + 126.502, 101.37, 131.661, - 110.48700000000001, + 110.487, 110.851, 137.232, 130.494, @@ -52066,20 +51955,20 @@ 94.318, 172.984, 114.6, - 167.63299999999998, + 167.633, 26.767, 210.157, - 180.46599999999998, + 180.466, 221.255, 153.991, 154.673, 233.863, 184.623, - 163.64700000000002, + 163.647, 191.356, - 218.21099999999998, + 218.211, 157.52, - 184.18200000000002, + 184.182, 277.069, 117.545, 284.347, @@ -52091,45 +51980,45 @@ 186.269, 268.866, 150.599, - 250.84099999999998, - 340.93699999999995, - 111.68700000000001, - 233.24599999999998, - 329.18300000000005, + 250.841, + 340.937, + 111.687, + 233.246, + 329.183, 90.822, 287.111, 247.852, 296.476, 377.273, 377.691, - 387.80400000000003, + 387.804, 267.693, 328.407, 275.214, 305.879, 320.072, 347.131, - 311.64799999999997, + 311.648, 317.605, 430.267, 327.036, 344.527, - 387.94800000000004, + 387.948, 334.589, 322.78, 197.946, 272.841, 374.272, - 348.51199999999994, + 348.512, 393.519, 358.708, - 362.24300000000005, + 362.243, 282.288, 225.935, 461.588, - 395.51199999999994, + 395.512, 351.37, - 374.86699999999996, + 374.867, 456.379, 256.176, 517.065, @@ -52141,8 +52030,8 @@ 540.122, 539.814, 545.501, - 414.02099999999996, - 43.916000000000004, + 414.021, + 43.916, 28.16, 19.324, 469.339, @@ -52152,39 +52041,39 @@ 503.566, 583.565, 586.477, - 592.8580000000001, + 592.858, 596.8, 277.862, 576.716, 447.103, - 229.72799999999998, + 229.728, 586.224, 620.264, 625.587, 101.139, 453.792, - 505.76300000000003, - 439.31800000000004, - 367.74800000000005, + 505.763, + 439.318, + 367.748, 639.158, 644.377, - 644.4209999999999, + 644.421, 653.186, 659.115, 659.291, 626.154, 0.523, 224.454, - 453.31800000000004, + 453.318, 580.151, 604.981, 460.283, 438.096, 159.116, 692.186, - 475.10900000000004, + 475.109, 701.485, - 704.6010000000001, + 704.601, 460.25, 0.545, 129.013, @@ -52192,19 +52081,19 @@ 329.04, 208.373, 538.823, - 709.0160000000001, + 709.016, 571.761, 438.559, 741.944, - 741.5139999999999, + 741.514, 744.944, 744.168, 500.505, - 336.64300000000003, + 336.643, 371.861, 754.837, - 755.8889999999999, - 234.91400000000002, + 755.889, + 234.914, 719.796, 298.507, 770.841, @@ -52213,8 +52102,8 @@ 633.064, 666.08, 547.873, - 464.31800000000004, - 579.3969999999999, + 464.318, + 579.397, 736.488, 318.574, 651.231, @@ -52225,18 +52114,18 @@ 648.451, 735.86, 664.169, - 711.0360000000001, + 711.036, 729.925, 476.436, 352.586, 644.724, 625.967, - 160.21200000000002, - 462.12199999999996, + 160.212, + 462.122, 507.976, 387.111, 204.2, - 379.35900000000004, + 379.359, 699.668, 708.284, 490.705, @@ -52244,19 +52133,19 @@ 795.054, 521.668, 386.445, - 689.1360000000001, + 689.136, 676.732, 136.17, - 269.85200000000003, + 269.852, 698.765, 357.431, - 680.1619999999999, + 680.162, 574.035, 116.235, 436.94, - 639.9069999999999, + 639.907, 215.271, - 124.21799999999999, + 124.218, 226.243, 350.329, 463.74, @@ -52266,16 +52155,16 @@ 447.918, 633.548, 458.389, - 489.68699999999995, - 629.5459999999999, - 359.47900000000004, + 489.687, + 629.546, + 359.479, 604.034, 767.924, 547.163, 730.57, - 21.019000000000002, - 491.05800000000005, - 209.47400000000002, + 21.019, + 491.058, + 209.474, 468.106, 481.225, 524.492, @@ -52290,15 +52179,15 @@ 410.041, 621.447, 54.2, - 284.76599999999996, + 284.766, 133.048, 749.596, 796.227, 417.765, 606.737, - 422.86300000000006, + 422.863, 389.214, - 93.87200000000001, + 93.872, 503.087, 3.094, 478.093, @@ -52308,10 +52197,10 @@ 701.204, 716.834, 593.689, - 667.9839999999999, + 667.984, 765.694, 670.247, - 527.7180000000001, + 527.718, 679.931, 764.466, 706.467, @@ -52321,16 +52210,16 @@ 560.002, 730.779, 514.555, - 613.4540000000001, - 329.11699999999996, + 613.454, + 329.117, 243.106, 591.404, 348.76, 248.584, - 715.8760000000001, + 715.876, 734.539, - 729.8810000000001, - 790.2860000000001, + 729.881, + 790.286, 190.546, 783.807, 384.798, @@ -52341,8 +52230,8 @@ 638.118, 567.153, 284.909, - 718.8710000000001, - 217.91400000000002, + 718.871, + 217.914, 642.109, 558.069, 605.306, @@ -52353,48 +52242,48 @@ 496.338, 470.402, 318.651, - 447.19599999999997, + 447.196, 416.955, - 253.37900000000002, + 253.379, 216.29, 627.823, - 469.98900000000003, + 469.989, 465.606, 506.853, 70.788, - 356.39099999999996, + 356.391, 756.742, 644.179, - 92.47399999999999, + 92.474, 102.014, 504.75, 157.778, 731.698, - 790.0060000000001, + 790.006, 768.27, 352.619, 134.16, - 774.5139999999999, + 774.514, 780.465, 569.763, 773.721, - 674.1560000000001, + 674.156, 272.868, - 780.2339999999999, + 780.234, 379.656, 779.931, 776.903, - 776.0880000000001, + 776.088, 494.499, 0.363, - 111.75299999999999, + 111.753, 765.253, - 534.6709999999999, - 560.0840000000001, + 534.671, + 560.084, 501.254, - 438.92199999999997, - 284.47900000000004, - 745.3960000000001, + 438.922, + 284.479, + 745.396, 737.303, 468.216, 719.096, @@ -52404,18 +52293,18 @@ 717.318, 714.549, 503.77, - 705.5260000000001, + 705.526, 639.367, - 228.89700000000002, + 228.897, 682.717, - 670.4889999999999, + 670.489, 413.283, 676.408, 671.805, 668.788, 661.62, 161.671, - 435.06800000000004, + 435.068, 422.009, 620.946, 601.793, @@ -52427,16 +52316,16 @@ 624.288, 269.295, 457.205, - 531.6990000000001, + 531.699, 421.101, - 455.82300000000004, - 494.14599999999996, + 455.823, + 494.146, 562.683, - 369.69699999999995, - 460.20599999999996, + 369.697, + 460.206, 5.428, 47.214, - 555.2669999999999, + 555.267, 483.389, 175.412, 360.575, @@ -52446,36 +52335,36 @@ 567.318, 569.686, 555.509, - 529.5740000000001, - 443.60699999999997, + 529.574, + 443.607, 513.399, - 454.60699999999997, + 454.607, 538.911, 398.848, 338.036, 535.613, 549.332, 540.821, - 108.85799999999999, + 108.858, 220.551, - 533.9830000000001, + 533.983, 218.101, 530.548, - 504.12800000000004, - 471.94300000000004, + 504.128, + 471.943, 307.712, 259.606, 427.713, 282.073, 468.244, - 468.18300000000005, + 468.183, 266.46, 444.477, - 401.57300000000004, - 350.48900000000003, + 401.573, + 350.489, 229.459, 141.884, - 306.39599999999996, + 306.396, 277.251, 251.766, 210.267, @@ -52489,27 +52378,27 @@ 220.033, 157.178, 222.604, - 236.21400000000003, + 236.214, 121.779, - 195.25900000000001, + 195.259, 140.855, - 131.85399999999998, + 131.854, 234.105, - 233.31799999999998, + 233.318, 198.48, 105.736, 140.921, 0.363, 109.094, - 253.68200000000002, - 85.32799999999999, + 253.682, + 85.328, 244.648, - 178.15900000000002, - 226.07299999999998, + 178.159, + 226.073, 215.012, - 96.48700000000001, + 96.487, 136.467, - 179.21599999999998, + 179.216, 179.695, 171.856, 137.904, @@ -52520,7 +52409,7 @@ 163.179, 98.221, 115.156, - 44.873999999999995, + 44.874, 127.736, 122.219, 88.796, @@ -52528,22 +52417,22 @@ 43.619, 69.268, 41.918, - 45.038999999999994, + 45.039, 57.878, - 54.211000000000006, + 54.211, 52.218, 50.187, 39.231, - 49.06399999999999, + 49.064, 40.376, - 7.9270000000000005, + 7.927, 26.128, 33.048, 34.653000000000006, 36.258, 15.8, - 26.304000000000002, - 23.820999999999998, + 26.304, + 23.821, 32.564, 29.47, 25.82, @@ -52552,10 +52441,10 @@ 14.082, 26.712, 20.48, - 24.113000000000003, + 24.113, 13.46, 16.609, - 15.210999999999999, + 15.211, 3.363, 9.744, 10.917, @@ -52564,8 +52453,8 @@ 0.517, 9.838, 7.982, - 3.0610000000000004, - 5.577000000000001, + 3.061, + 5.577, 0.847, 4.668, -0.997, @@ -52574,7 +52463,7 @@ -4.256, 0.655, -0.342, - 0.40700000000000003, + 0.407, null, null, null, @@ -53360,7 +53249,7 @@ null, null, null, - -0.9690000000000001, + -0.969, -2.417, null, null, @@ -53368,42 +53257,42 @@ 10.636, 20.43, 21.663, - 26.458000000000002, + 26.458, 25.06, - 21.596999999999998, + 21.597, 32.861, 38.653, 32.272, 41.136, - 53.138000000000005, + 53.138, 48.519, - 49.806999999999995, + 49.807, 62.018, 35.262, 63.857, 72.005, - 65.29899999999999, - 20.192999999999998, + 65.299, + 20.193, 90.684, 98.331, - 43.553000000000004, + 43.553, 43.773, - 118.22200000000001, + 118.222, 121.135, 95.931, 80.031, 141.092, 147.445, 158.329, - 168.61900000000003, - 114.79799999999999, - 114.45700000000001, - 176.40900000000002, + 168.619, + 114.798, + 114.457, + 176.409, 78.936, 104.398, 203.842, 36.632, - 208.40599999999998, + 208.406, 117.617, 199.889, 176.959, @@ -53418,14 +53307,14 @@ 270.237, 255.515, 160.129, - 104.70700000000001, - 210.61900000000003, + 104.707, + 210.619, 268.772, - 243.19400000000002, + 243.194, 272.323, 277.091, 262.045, - 284.85400000000004, + 284.854, 262.072, 351.606, 355.945, @@ -53436,15 +53325,15 @@ 257.916, 281.231, 295.171, - 266.14099999999996, + 266.141, 269.009, 324.448, 340.921, - 342.88599999999997, - 338.87800000000004, + 342.886, + 338.878, 327.449, 258.472, - 333.79699999999997, + 333.797, 312.92, 348.033, 449.509, @@ -53453,63 +53342,63 @@ 384.43, 256.033, 316.339, - 459.83099999999996, - 247.21900000000002, + 459.831, + 247.219, 403.418, 322.032, - 219.24599999999998, + 219.246, 506.974, 248.601, 458.295, 481.022, - 182.78900000000002, + 182.789, 291.064, 315.634, - 422.31800000000004, + 422.318, 469.967, 477.63, - 397.26300000000003, + 397.263, 503.583, 495.28, - 390.24300000000005, + 390.243, 263.988, 279.772, 193.305, 270.347, - 241.71900000000002, - 317.44599999999997, + 241.719, + 317.446, 132.239, - 448.07199999999995, + 448.072, 400.401, - 5.747000000000001, + 5.747, 0.55, 290.772, - 333.36199999999997, + 333.362, 527.735, 43.129, - 0.5670000000000001, - 365.49699999999996, + 0.567, + 365.497, 116.604, - 171.34400000000002, - 183.18599999999998, + 171.344, + 183.186, 495.814, 485.035, 562.22, 384.275, - 368.99800000000005, - 477.42699999999996, + 368.998, + 477.427, 268.453, 509.385, 425.384, - 502.49800000000005, + 502.498, 554.964, 513.294, 677.36, 685.304, - 484.42900000000003, - 205.36700000000002, + 484.429, + 205.367, 439.918, - 407.76099999999997, + 407.761, 155.94, 212.375, 265.656, @@ -53517,10 +53406,10 @@ 714.345, 702.443, 717.885, - 724.1339999999999, + 724.134, 727.547, 706.307, - 539.1419999999999, + 539.142, 227.768, 250.484, 751.05, @@ -53540,15 +53429,15 @@ 181.804, 378.153, 591.482, - 541.7180000000001, - 358.95599999999996, + 541.718, + 358.956, 150.275, 757.942, 692.962, 274.316, 0.457, 204.205, - 610.2769999999999, + 610.277, 448.986, 611.918, 549.619, @@ -53556,10 +53445,10 @@ 391.256, 429.805, 453.93, - 100.25299999999999, + 100.253, 398.87, 190.613, - 0.46799999999999997, + 0.468, 105.714, 445.435, 0.473, @@ -53583,20 +53472,20 @@ 532.018, 494.895, 528.247, - 773.6439999999999, + 773.644, 621.304, 620.269, 730.977, - 755.5310000000001, + 755.531, 578.869, 491.603, 743.7, 343.772, - 716.5360000000001, - 474.29900000000004, - 604.4630000000001, - 717.0210000000001, - 383.42199999999997, + 716.536, + 474.299, + 604.463, + 717.021, + 383.422, 479.711, 609.187, 695.297, @@ -53605,7 +53494,7 @@ 535.321, 754.832, 694.801, - 638.9540000000001, + 638.954, 629.722, 639.422, 586.4, @@ -53614,25 +53503,25 @@ 665.865, 728.654, 774.525, - 428.73699999999997, + 428.737, 603.665, - 795.8910000000001, - 765.2760000000001, + 795.891, + 765.276, 644.735, 694.355, 629.992, 23.386, 175.137, - 493.60699999999997, + 493.607, 457.838, 71.382, 655.493, 562.65, 414.032, - 743.4580000000001, - 762.7819999999999, + 743.458, + 762.782, 770.941, - 87.28200000000001, + 87.282, 632.32, 531.236, 743.1, @@ -53640,10 +53529,10 @@ 502.245, 621.398, 115.954, - 568.7719999999999, + 568.772, 639.378, 149.454, - 679.2589999999999, + 679.259, 780.971, 731.544, 704.182, @@ -53654,38 +53543,38 @@ 659.423, 462.204, 758.311, - 781.6210000000001, + 781.621, 415.777, 788.079, - 372.26800000000003, - 415.51800000000003, - 547.0419999999999, + 372.268, + 415.518, + 547.042, 417.809, 635.42, 612.072, 480.108, 594.884, 512.127, - 373.13800000000003, + 373.138, 697.46, 397.918, - 697.1410000000001, - 620.7040000000001, + 697.141, + 620.704, 582.266, 688.393, 552.828, 550.274, 493.034, 145.32, - 628.9019999999999, + 628.902, 782.915, 620.418, 548.523, - 666.5419999999999, + 666.542, 683.427, 39.556, 393.915, - 581.0269999999999, + 581.027, 137.827, 377.652, 794.52, @@ -53696,130 +53585,130 @@ 598.991, 527.812, 697.24, - 637.2919999999999, + 637.292, 606.985, - 730.8610000000001, + 730.861, 108.213, 678.957, 585.448, - 46.486999999999995, + 46.487, 602.85, 396.288, 735.508, 109.045, 494.587, - 450.10900000000004, - 467.30199999999996, + 450.109, + 467.302, 797.196, 627.118, 729.931, - 22.203000000000003, - 763.2660000000001, + 22.203, + 763.266, 500.522, 638.938, - 790.8810000000001, + 790.881, 496.035, 691.883, 621.205, - 790.1489999999999, + 790.149, 796.238, 271.327, 145.391, - 689.1089999999999, + 689.109, 574.382, 779.914, 415.601, - 0.34600000000000003, + 0.346, 271.222, 555.906, 731.368, 515.711, 772.449, 769.955, - 763.7339999999999, - 667.6160000000001, + 763.734, + 667.616, 461.577, - 757.8710000000001, + 757.871, 749.673, 751.903, 633.009, - 411.36699999999996, + 411.367, 739.395, 607.948, 681.357, 727.685, 125.165, - 483.26199999999994, - 680.7289999999999, + 483.262, + 680.729, 596.139, - 725.7189999999999, + 725.719, 299.597, 172.417, - 714.8739999999999, + 714.874, 682.084, 434.44, 531.451, 0.379, 223.199, - 701.6610000000001, + 701.661, 442.566, - 399.98199999999997, + 399.982, 538.085, 558.124, 687.677, 672.135, 404.166, - 678.2739999999999, + 678.274, 674.706, - 673.2810000000001, - 650.4169999999999, + 673.281, + 650.417, 665.331, 661.317, 222.467, 316.895, - 626.7330000000001, - 411.60400000000004, - 260.29400000000004, - 426.44699999999995, + 626.733, + 411.604, + 260.294, + 426.447, 640.226, 602.988, - 626.1709999999999, + 626.171, 628.313, 627.806, 622.499, 624.283, - 466.58099999999996, + 466.581, 543.656, 163.075, 117.573, - 132.22799999999998, - 122.09299999999999, - 596.5409999999999, + 132.228, + 122.093, + 596.541, 398.199, 406.781, 25.49, 386.103, - 546.7280000000001, - 523.7819999999999, + 546.728, + 523.782, 482.871, 276.579, 354.144, 259.171, 330.014, 317.721, - 209.83700000000002, + 209.837, 0.418, 0.385, 297.527, 263.999, 334.958, 60.988, - 217.99099999999999, + 217.991, 169.868, 383.24, 293.002, 130.565, - 264.92400000000004, + 264.924, 229.673, 168.696, 271.377, @@ -53828,44 +53717,44 @@ 253.209, 256.198, 272.533, - 84.50200000000001, + 84.502, 318.541, - 240.55200000000002, - 50.648999999999994, + 240.552, + 50.649, 0.391, - 0.35200000000000004, + 0.352, 77.559, 323.782, - 365.30400000000003, + 365.304, 260.371, 338.856, 214.517, - 214.02700000000002, - 360.01300000000003, + 214.027, + 360.013, 209.155, 254.91, 392.082, 147.208, 280.405, - 303.41200000000003, - 215.43599999999998, + 303.412, + 215.436, 315.728, 346.668, 343.37, 254.805, - 172.62099999999998, + 172.621, 87.287, 244.285, 191.455, 47.093, - 126.12799999999999, + 126.128, 353.517, - 253.40099999999998, + 253.401, 335.47, - 228.69299999999998, + 228.693, 303.126, 242.33, - 185.12900000000002, + 185.129, 81.991, 332.194, 245.485, @@ -53874,15 +53763,15 @@ 48.073, 206.71, 304.849, - 224.31099999999998, - 278.41200000000003, + 224.311, + 278.412, 187.067, - 290.66200000000003, + 290.662, 260.36, 263.878, 247.968, - 213.80700000000002, - 93.59700000000001, + 213.807, + 93.597, 46.9, 74.487, 87.915, @@ -53892,38 +53781,38 @@ 44.637, 78.391, 6.909, - 68.78399999999999, + 68.784, 20.849, - 16.554000000000002, + 16.554, 39.49, 47.01, - 21.750999999999998, + 21.751, 0.418, 48.909, - 48.998000000000005, - 46.486999999999995, + 48.998, + 46.487, 39.633, 36.319, 33.654, - 16.102999999999998, + 16.103, 12.987, 31.788, - 29.386999999999997, + 29.387, 19.544, 20.188, 10.454, 16.885, 17.854, - 13.482000000000001, - 12.062000000000001, - 10.642000000000001, + 13.482, + 12.062, + 10.642, 14.237, 11.583, - 13.719000000000001, + 13.719, 17.54, 11.913, - 7.702000000000001, - 6.287000000000001, + 7.702, + 6.287, 3.11, 6.678, 6.43, @@ -53931,11 +53820,11 @@ -1.426, 4.822, 4.894, - -2.9019999999999997, + -2.902, -5.131, - -0.7490000000000001, + -0.749, -2.698, - 0.9690000000000001, + 0.969, null, null, null, @@ -54715,7 +54604,7 @@ null, null, null, - 1.6680000000000001, + 1.668, -0.21, 4.685, 3.947, @@ -54723,8 +54612,8 @@ 6.7, 7.096, 8.929, - 13.279000000000002, - 15.370999999999999, + 13.279, + 15.371, 7.454, 13.075, 17.149, @@ -54732,14 +54621,14 @@ 18.393, 28.54, 27.031, - 13.960999999999999, + 13.961, 0.693, 30.384, 32.278, 41.725, 37.833, 52.328, - 57.388000000000005, + 57.388, 58.445, 66.752, 59.067, @@ -54748,7 +54637,7 @@ 84.414, 37.376, 28.099, - 75.23100000000001, + 75.231, 14.237, 39.985, 64.952, @@ -54763,12 +54652,12 @@ 64.016, 68.712, 36.445, - 0.5670000000000001, + 0.567, 0.561, 51.75, 39.958, 74.229, - 27.703000000000003, + 27.703, 14.11, 83.081, 56.54, @@ -54777,11 +54666,11 @@ 68.046, 85.427, 65.514, - 65.92699999999999, + 65.927, 98.766, 101.425, 95.001, - 100.07600000000001, + 100.076, 149.129, 91.538, 159.755, @@ -54794,28 +54683,28 @@ 164.088, 155.477, 154.183, - 160.65200000000002, + 160.652, 166.708, 130.907, 203.545, 192.495, - 235.44799999999998, - 206.84799999999998, + 235.448, + 206.848, 166.928, 153.082, 160.118, 153.275, - 168.65200000000002, + 168.652, 130.472, - 226.99200000000002, + 226.992, 130.07, 138.493, 197.296, 174.95, - 56.748999999999995, - 158.52700000000002, + 56.749, + 158.527, 20.76, - 164.75400000000002, + 164.754, 46.228, 116.995, 147.004, @@ -54823,35 +54712,35 @@ 175.203, 113.609, 120.49, - 85.81200000000001, + 85.812, 15.2, 139.22, - 172.78599999999997, + 172.786, 239.115, 225.093, - 287.46299999999997, + 287.463, 289.561, 143.822, - 213.43200000000002, - 273.80400000000003, + 213.432, + 273.804, 275.495, 258.89, 291.934, - 283.91200000000003, + 283.912, 284.121, 28.226, 267.842, - 255.59799999999998, + 255.598, 249.322, 97.99, - 59.221000000000004, - 0.5720000000000001, + 59.221, + 0.572, 115.635, - 335.43199999999996, + 335.432, 366.218, 89.258, - 49.851000000000006, - 329.93199999999996, + 49.851, + 329.932, 357.569, 117.396, 263.774, @@ -54866,59 +54755,59 @@ 190.045, 315.337, 308.411, - 213.59799999999998, + 213.598, 0.561, - 116.31700000000001, - 355.31199999999995, - 228.99599999999998, + 116.317, + 355.312, + 228.996, 179.778, 367.214, - 388.82800000000003, + 388.828, 420.853, 396.365, 233.995, 192.451, 272.769, - 477.20599999999996, - 337.35900000000004, - 340.50199999999995, - 422.75300000000004, - 446.06800000000004, + 477.206, + 337.359, + 340.502, + 422.753, + 446.068, 355.405, 274.933, 540.887, 507.838, 518.309, 400.059, - 215.05599999999998, - 430.17400000000004, + 215.056, + 430.174, 407.668, - 428.13699999999994, - 434.73800000000006, + 428.137, + 434.738, 390.32, 346.36, 586.174, - 402.05199999999996, - 555.7959999999999, + 402.052, + 555.796, 550.549, 500.026, 590.309, 395.171, 524.509, - 511.26300000000003, + 511.263, 658.163, 434.462, 571.007, 510.806, 466.454, 228.864, - 680.1289999999999, - 684.2860000000001, - 665.6610000000001, + 680.129, + 684.286, + 665.661, 250.153, - 416.38800000000003, - 364.68699999999995, - 662.5889999999999, + 416.388, + 364.687, + 662.589, 375.296, 585.998, 309.986, @@ -54927,7 +54816,7 @@ 213.405, 551.909, 517.698, - 325.07599999999996, + 325.076, 288.306, 587.65, 549.305, @@ -54937,60 +54826,60 @@ 442.126, 473.931, 484.149, - 516.7130000000001, + 516.713, 517.197, 36.71, 19.648, 399.966, - 496.11199999999997, + 496.112, 488.657, 529.783, 388.773, 587.375, - 141.95600000000002, + 141.956, 527.905, - 669.8560000000001, - 670.4839999999999, + 669.856, + 670.484, 683.322, 184.755, 426.601, 623.424, 630.432, - 643.1990000000001, + 643.199, 639.015, 323.969, 187.375, - 26.673000000000002, + 26.673, 563.944, 154.569, - 364.36800000000005, + 364.368, 654.331, 716.487, 693.188, 689.709, - 416.17400000000004, + 416.174, 357.249, - 424.48699999999997, + 424.487, 228.225, 605.823, 532.668, 419.659, - 398.30300000000005, - 276.83799999999997, - 233.97299999999998, + 398.303, + 276.838, + 233.973, 317.258, 245.545, - 460.38199999999995, + 460.382, 183.83, 223.518, - 472.11400000000003, + 472.114, 497.851, 414.06, 536.086, 621.431, 486.086, - 552.9490000000001, - 454.94300000000004, + 552.949, + 454.943, 419.251, 371.767, 274.768, @@ -54998,8 +54887,8 @@ 631.153, 614.885, 545.181, - 198.74400000000003, - 275.02099999999996, + 198.744, + 275.021, 500.241, 568.309, 580.63, @@ -55009,9 +54898,9 @@ 520.143, 331.033, 21.779, - 396.20599999999996, + 396.206, 532.937, - 530.4209999999999, + 530.421, 298.876, 304.431, 508.202, @@ -55024,12 +54913,12 @@ 358.934, 566.091, 548.908, - 194.31799999999998, + 194.318, 530.84, - 553.0319999999999, + 553.032, 575.725, 339.649, - 175.97400000000002, + 175.974, 396.371, 575.742, 539.687, @@ -55040,46 +54929,46 @@ 54.597, 631.313, 512.314, - 450.30699999999996, + 450.307, 433.615, 440.436, 586.631, 671.789, 525.054, - 727.3710000000001, - 720.5880000000001, + 727.371, + 720.588, 550.659, 225.329, 618.095, 524.729, 731.605, 470.903, - 384.23699999999997, - 768.3919999999999, + 384.237, + 768.392, 491.542, 683.179, 570.115, - 691.8560000000001, + 691.856, 525.538, 636.015, 341.537, 48.722, 648.385, 676.27, - 288.66900000000004, + 288.669, 624.365, 131.077, 499.756, - 358.69199999999995, + 358.692, 705.03, 579.205, - 742.7810000000001, - 715.0939999999999, + 742.781, + 715.094, 690.821, 800, 748.77, 587.182, - 554.2819999999999, + 554.282, 761.961, 800, 800, @@ -55087,18 +54976,18 @@ 336.329, 535.855, 800, - 504.41900000000004, + 504.419, 764.813, - 775.1080000000001, - 620.7869999999999, + 775.108, + 620.787, 800, 533.46, - 620.0319999999999, - 442.31300000000005, + 620.032, + 442.313, 796.909, 446.712, 800, - 626.3969999999999, + 626.397, 730.421, 626.094, 611.075, @@ -55107,11 +54996,11 @@ 635.91, 350.522, 32.9, - 480.32800000000003, + 480.328, 302.438, - 642.1419999999999, + 642.142, 624.982, - 709.2860000000001, + 709.286, 695.743, 800, 793.27, @@ -55119,36 +55008,36 @@ 506.897, 316.768, 501.81, - 718.9860000000001, + 718.986, 703.252, - 721.4639999999999, + 721.464, 713.58, 684.627, 394.95, - 376.38599999999997, + 376.386, 595.693, 302.421, 124.163, - 675.0260000000001, + 675.026, 347.389, - 402.81800000000004, + 402.818, 710.09, 781.137, - 761.1189999999999, + 761.119, 263.113, 21.366, 347.582, - 445.10400000000004, + 445.104, 800, 795.395, 800, 417.44, - 342.88599999999997, + 342.886, 446.288, 655.795, 16.185, 264.555, - 467.45599999999996, + 467.456, 471.139, 582.871, 580.471, @@ -55162,7 +55051,7 @@ 610.145, 629.788, 598.49, - 434.62800000000004, + 434.628, 550.78, 595.104, 664.643, @@ -55172,20 +55061,20 @@ 781.797, 587.248, 696.288, - 572.9169999999999, + 572.917, 97.742, 572.516, 480.955, - 745.9680000000001, + 745.968, 370.55, 332.53, 743.727, 575.18, 315.629, - 743.8430000000001, - 743.4580000000001, + 743.843, + 743.458, 737.066, - 700.9010000000001, + 700.901, 134.535, 405.289, 524.943, @@ -55195,7 +55084,7 @@ 708.498, 394.361, 628.781, - 412.94699999999995, + 412.947, 664.703, 584.203, 417.082, @@ -55203,17 +55092,17 @@ 477.966, 584.98, 606.55, - 695.3739999999999, + 695.374, 533.124, 585.58, 685.563, 511.78, 598.798, 544.466, - 489.31800000000004, + 489.318, 477.454, 321.652, - 495.68800000000005, + 495.688, 657.293, 507.745, 651.248, @@ -55221,15 +55110,15 @@ 319.906, 438.289, 640.865, - 396.35400000000004, - 432.32099999999997, - 348.62300000000005, - 630.6080000000001, + 396.354, + 432.321, + 348.623, + 630.608, 522.962, 0.368, 69.048, 568.139, - 461.30699999999996, + 461.307, 607.7, 196.382, 127.279, @@ -55237,9 +55126,9 @@ 597.741, 403.407, 588.404, - 583.9830000000001, + 583.983, 582.106, - 54.888000000000005, + 54.888, 455.911, 402.504, 565.375, @@ -55253,26 +55142,26 @@ 542.247, 537.76, 395.875, - 378.29699999999997, + 378.297, 525.857, 390.155, 520.099, 247.687, 356.22, 425.918, - 325.58799999999997, + 325.588, 486.334, - 352.49800000000005, + 352.498, 324.647, 482.871, - 378.88599999999997, + 378.886, 239.264, 395.082, - 319.98400000000004, + 319.984, 435.778, - 346.93800000000005, + 346.938, 454.48, - 190.72799999999998, + 190.728, 200.17, 299.316, 405.543, @@ -55292,10 +55181,10 @@ 332.585, 234.826, 339.792, - 342.19800000000004, + 342.198, 352.163, 175.638, - 146.49200000000002, + 146.492, 0.374, 252.774, 311.88, @@ -55307,14 +55196,14 @@ 288.906, 280.147, 274.531, - 251.43099999999998, + 251.431, 251.139, 267.187, - 241.15200000000002, - 60.476000000000006, + 241.152, + 60.476, 245.143, 265.166, - 273.39099999999996, + 273.391, 231.017, 261.472, 252.333, @@ -55322,26 +55211,26 @@ 124.289, 143.393, 225.952, - 217.19799999999998, + 217.198, 144.461, - 62.49100000000001, + 62.491, 118.387, 71.146, 195.925, 161.627, - 150.03799999999998, - 143.28799999999998, + 150.038, + 143.288, 137.408, 152.813, 82.167, 29.156, - 26.480999999999998, + 26.481, 24.075, 29.899, - 23.066999999999997, - 26.348000000000003, + 23.067, + 26.348, 23.073, - 25.363000000000003, + 25.363, 22.572, 23.838, 17.413, @@ -55358,21 +55247,21 @@ 6.16, 15.91, 8.913, - 11.109000000000002, + 11.109, 7.652, 8.115, 8.77, 7.718, 2.807, 9.271, - 5.422000000000001, + 5.422, 7.68, 2.174, 3.867, 5.56, - 3.1210000000000004, + 3.121, 3.661, - 0.7809999999999999, + 0.781, 3.275, 4.52, -4.977, @@ -56179,17 +56068,17 @@ -1.066, 0.616, 0.71, - 1.8219999999999998, + 1.822, 0.115, - 4.9430000000000005, + 4.943, 9.529, 2.516, 7.68, 11.489, - 12.380999999999998, + 12.381, 10.339, 11.682, - 12.265999999999998, + 12.266, 11.963, 23.1, 38.559, @@ -56204,13 +56093,13 @@ 15.91, 17.71, 18.745, - 25.633000000000003, - 23.160999999999998, + 25.633, + 23.161, 28.628, - 25.555999999999997, + 25.556, 27.725, 26.365, - 16.769000000000002, + 16.769, 40.536, 46.603, 71.465, @@ -56222,26 +56111,26 @@ 118.641, 222.703, 176.706, - 194.87400000000002, - 306.04900000000004, + 194.874, + 306.049, 194.609, - 264.48900000000003, + 264.489, 274.922, 183.687, - 132.05200000000002, + 132.052, 69.747, - 309.04400000000004, + 309.044, 177.614, 142.369, 303.203, 111.368, 370.517, 378.759, - 380.55400000000003, - 349.76800000000003, - 35.669000000000004, + 380.554, + 349.768, + 35.669, 192.523, - 241.28400000000002, + 241.284, 250.847, 312.904, 285.388, @@ -56249,8 +56138,8 @@ 309.639, 320.897, 348.601, - 342.19800000000004, - 251.87599999999998, + 342.198, + 251.876, 211.291, 438.135, 208.912, @@ -56260,12 +56149,12 @@ 342.969, 377.829, 352.041, - 286.45599999999996, + 286.456, 434.27, 250.957, 0.611, 38.543, - 239.80900000000003, + 239.809, 308.83, 498.584, 304.893, @@ -56275,30 +56164,30 @@ 413.856, 373.843, 528.55, - 185.03599999999997, + 185.036, 495.936, - 563.6080000000001, - 400.08099999999996, - 582.8330000000001, - 591.8340000000001, + 563.608, + 400.081, + 582.833, + 591.834, 594.405, 485.954, 270.308, - 80.84100000000001, + 80.841, 121.63, 264.39, - 243.05700000000002, + 243.057, 146.096, - 122.73700000000001, + 122.737, 0.556, 231.325, 473.408, 400.847, 181.055, - 432.06800000000004, + 432.068, 586.56, 37.354, - 170.99099999999999, + 170.991, 423.033, 0.556, 281.303, @@ -56309,21 +56198,21 @@ 363.256, 283.676, 9.436, - 432.49199999999996, - 461.31199999999995, + 432.492, + 461.312, 478.869, 400.324, 87.414, 428.963, 745.825, 92.98, - 472.89599999999996, + 472.896, 694.586, - 748.2310000000001, + 748.231, 713.09, 437.523, 764.94, - 332.49199999999996, + 332.492, 277.565, 489.478, 670.676, @@ -56332,33 +56221,33 @@ 604.425, 459.595, 242.446, - 294.92900000000003, - 506.91900000000004, + 294.929, + 506.919, 735.304, 743.893, 734.935, - 429.07300000000004, + 429.073, 686.868, 449.244, - 496.35400000000004, - 749.7230000000001, + 496.354, + 749.723, 343.789, 637.33, - 694.1289999999999, - 493.32099999999997, + 694.129, + 493.321, 542.346, 652.674, 297.01, - 779.3910000000001, + 779.391, 522.323, 777.525, 710.893, 800, - 701.8639999999999, + 701.864, 800, 787.699, 772.801, - 209.44099999999997, + 209.441, 800, 441.564, 530.724, @@ -56369,38 +56258,38 @@ 800, 800, 366.344, - 173.46900000000002, + 173.469, 117.848, 392.154, 244.229, 139.776, 302.818, - 287.27099999999996, + 287.271, 276.992, - 487.24300000000005, - 345.82599999999996, + 487.243, + 345.826, 189.864, 171.68, 183.274, - 669.6360000000001, + 669.636, 481.616, - 322.54900000000004, + 322.549, 327.664, - 342.63800000000003, + 342.638, 760.75, 727.63, - 464.26300000000003, - 342.20300000000003, + 464.263, + 342.203, 469.301, - 245.28599999999997, - 337.93699999999995, + 245.286, + 337.937, 754.166, 549.674, 462.309, 800, 472.444, - 365.13300000000004, - 252.72400000000002, + 365.133, + 252.724, 225.263, 274.349, 214.858, @@ -56410,7 +56299,7 @@ 246.69, 255.95, 316.405, - 217.97400000000002, + 217.974, 263.416, 152.29, 255.928, @@ -56418,36 +56307,36 @@ 163.333, 117.617, 149.746, - 111.03200000000001, + 111.032, 202.097, - 197.97299999999998, + 197.973, 152.84, 186.252, 199.74, 134.722, 194.565, - 197.71400000000003, + 197.714, 204.145, - 195.78799999999998, + 195.788, 191.268, 199.79, 204.172, 111.979, 156.143, 207.261, - 120.42399999999999, - 127.74700000000001, + 120.424, + 127.747, 205.235, 142.116, - 159.92600000000002, - 170.49599999999998, + 159.926, + 170.496, 145.232, - 234.61700000000002, + 234.617, 157.013, - 87.98100000000001, + 87.981, 201.458, 244.984, - 259.36400000000003, + 259.364, 293.249, 194.967, 315.832, @@ -56457,22 +56346,22 @@ 355.218, 116.609, 325.687, - 391.05300000000005, + 391.053, 342.644, 341.185, - 382.06199999999995, + 382.062, 395.914, 280.323, 396.519, 245.22, - 386.54900000000004, - 331.86400000000003, + 386.549, + 331.864, 300.291, 268.828, - 168.97099999999998, - 329.06199999999995, - 173.19299999999998, - 347.25699999999995, + 168.971, + 329.062, + 173.193, + 347.257, 271.795, 333.004, 252.493, @@ -56481,22 +56370,22 @@ 160.316, 293.404, 205.295, - 326.46299999999997, + 326.463, 194.455, 105.819, 100.286, 121.19, - 255.24599999999998, + 255.246, 334.584, - 245.40200000000002, + 245.402, 187.051, 189.291, 245.171, 324.531, 334.523, 337.414, - 341.14099999999996, - 343.18300000000005, + 341.141, + 343.183, 151.491, 209.551, 358.461, @@ -56505,44 +56394,44 @@ 352.994, 347.092, 347.852, - 381.25300000000004, + 381.253, 379.249, - 362.12199999999996, - 347.89599999999996, - 364.63800000000003, + 362.122, + 347.896, + 364.638, 92.385, 372.037, 303.159, 173.838, 165.359, 353.577, - 177.22299999999998, + 177.223, 79.707, - 370.62199999999996, - 373.56199999999995, - 228.53900000000002, - 390.36400000000003, + 370.622, + 373.562, + 228.539, + 390.364, 203.385, 238.851, 340.486, 461.461, 0.506, 279.926, - 456.67699999999996, + 456.677, 268.42, 415.26, 514.406, 251.998, - 612.8919999999999, + 612.892, 648.126, 632.04, 379.249, 64.815, - 40.931999999999995, + 40.932, 800, 800, 614.643, - 382.27099999999996, + 382.271, 2.648, 72.318, 800, @@ -56555,47 +56444,47 @@ 637.259, 800, 663.564, - 705.6410000000001, + 705.641, 522.433, 706.819, 620.214, 754.815, 800, - 580.4209999999999, - 735.2819999999999, + 580.421, + 735.282, 800, 800, 571.739, 800, 800, 800, - 87.87700000000001, - 411.31800000000004, + 87.877, + 411.318, 800, 800, 800, 659.908, 800, 800, - 368.30400000000003, + 368.304, 375.351, 800, 647.422, 673.181, 627.09, 657.172, - 451.85400000000004, + 451.854, 412.601, 734.682, - 630.8009999999999, + 630.801, 432.651, 561.719, - 512.3530000000001, - 656.2139999999999, - 750.0419999999999, + 512.353, + 656.214, + 750.042, 468.59, 485.894, - 544.3330000000001, + 544.333, 499.2, 517.511, 351.832, @@ -56606,18 +56495,18 @@ 456.291, 565.826, 561.78, - 438.87800000000004, + 438.878, 529.81, 657.832, 597.681, 619.245, - 585.5740000000001, - 610.2330000000001, + 585.574, + 610.233, 705.977, 628.797, - 513.3330000000001, + 513.333, 615.568, - 728.7689999999999, + 728.769, 773.181, 676.209, 715.171, @@ -56628,7 +56517,7 @@ 583.339, 644.482, 771.992, - 508.37199999999996, + 508.372, 800, 454.59, 800, @@ -56637,62 +56526,62 @@ 480.009, 800, 601.556, - 120.23200000000001, + 120.232, 45.21, 588.388, 566.977, - 792.8960000000001, + 792.896, 403.875, 785.888, 776.655, - 770.1419999999999, + 770.142, 767.747, - 766.3710000000001, - 762.9739999999999, - 764.6039999999999, - 760.6619999999999, - 754.8810000000001, + 766.371, + 762.974, + 764.604, + 760.662, + 754.881, 753.956, - 749.6460000000001, + 749.646, 738.365, - 739.2239999999999, - 744.2560000000001, - 574.4590000000001, + 739.224, + 744.256, + 574.459, 474.712, 323.199, 507.332, - 410.32099999999997, + 410.321, 560.607, 507.959, 705.817, - 680.2669999999999, + 680.267, 530.851, 415.689, 521.86, 554.612, 577.118, - 426.79900000000004, + 426.799, 390.1, 444.961, 480.119, 570.082, - 601.2919999999999, - 681.5939999999999, - 680.2560000000001, - 700.2510000000001, + 601.292, + 681.594, + 680.256, + 700.251, 688.784, 685.684, 689.466, - 697.0139999999999, + 697.014, 678.813, 659.842, - 666.8610000000001, + 666.861, 622.268, 366.284, - 573.1709999999999, + 573.171, 577.112, 590.391, - 582.3430000000001, + 582.343, 558.493, 559.242, 282.018, @@ -56700,10 +56589,10 @@ 108.109, 97.17, 99.559, - 103.45100000000001, + 103.451, 109.221, 118.74, - 122.68700000000001, + 122.687, 130.934, 137.656, 144.395, @@ -56716,7 +56605,7 @@ 150.44, 160.151, 157.327, - 179.84400000000002, + 179.844, 197.891, 182.019, 173.672, @@ -56724,15 +56613,15 @@ 175.01, 191.945, 225.44, - 235.12400000000002, + 235.124, 214.93, 195.452, 258.945, - 214.75400000000002, + 214.754, 235.377, 216.697, 262.265, - 260.66900000000004, + 260.669, 309.672, 267.837, 229.062, @@ -56754,10 +56643,10 @@ 349.514, 329.546, 343.403, - 325.79200000000003, + 325.792, 307.327, - 334.68300000000005, - 331.62199999999996, + 334.683, + 331.622, 327.074, 319.642, 315.546, @@ -56767,7 +56656,7 @@ 300.819, 294.802, 291.185, - 287.28700000000003, + 287.287, 284.573, 282.497, 279.007, @@ -56775,7 +56664,7 @@ 273.887, 227.834, 164.011, - 93.78399999999999, + 93.784, 80.863, 79.013, 78.016, @@ -56783,7 +56672,7 @@ 75.792, 70.259, 67.551, - 63.696999999999996, + 63.697, 62.453, 61.787, 64.655, @@ -56792,21 +56681,21 @@ 66.565, 69.164, 69.786, - 69.51100000000001, + 69.511, 66.384, - 66.21300000000001, + 66.213, 65.756, 65.304, 67.028, 67.529, 64.578, - 61.016000000000005, - 58.538000000000004, - 58.373000000000005, + 61.016, + 58.538, + 58.373, 55.989, - 53.913999999999994, + 53.914, 54.927, - 55.00899999999999, + 55.009, 55.235, 53.363, 49.113, @@ -56815,20 +56704,20 @@ 38.295, 34.755, 30.45, - 27.499000000000002, + 27.499, 24.57, 23.546, 20.854, 19.984, 17.419, 15.046, - 13.520999999999999, + 13.521, 12.227, 10.333, - 7.542000000000001, + 7.542, 5.989, - 3.7489999999999997, - 0.9470000000000001, + 3.749, + 0.947, -0.848, null, null, @@ -57599,63 +57488,63 @@ 3.072, 3.963, 5.263, - 6.122000000000001, + 6.122, 7.685, 9.425, 11.253, 12.475, - 14.610999999999999, - 17.022000000000002, + 14.611, + 17.022, 18.718, - 21.278000000000002, + 21.278, 23.199, - 25.555999999999997, + 25.556, 26.959, 29.112, 31.011, 33.604, - 35.861999999999995, + 35.862, 37.926, 40.448, 42.782, 45.573, 55.153, 69.654, - 81.36399999999999, + 81.364, 87.095, - 54.211000000000006, - 99.48200000000001, - 100.42299999999999, + 54.211, + 99.482, + 100.423, 99.24, - 103.51700000000001, + 103.517, 110.74, 115.26, - 118.40899999999999, + 118.409, 121.184, - 127.52600000000001, + 127.526, 133.351, 138.135, 142.82, - 146.86700000000002, + 146.867, 151.244, 157.178, 163.488, 169.808, 173.16, - 180.62599999999998, - 187.05599999999998, + 180.626, + 187.056, 193.31, 193.095, 199.796, 206.418, - 210.12400000000002, - 215.72299999999998, - 217.09900000000002, + 210.124, + 215.723, + 217.099, 225.489, 228.864, 235.481, 240.778, - 246.00799999999998, + 246.008, 247.39, 254.128, 259.055, @@ -57667,7 +57556,7 @@ 287.827, 295.215, 299.856, - 302.23400000000004, + 302.234, 309.892, 314.621, 317.44, @@ -57675,35 +57564,35 @@ 330.642, 331.875, 339.731, - 342.62699999999995, + 342.627, 346.481, - 350.74199999999996, + 350.742, 356.782, 364.467, 369.158, 371.195, 377.24, - 379.06699999999995, + 379.067, 384.787, - 390.55699999999996, + 390.557, 394.394, 399.459, - 399.87800000000004, + 399.878, 410.041, 415.084, 417.154, 421.751, 426.909, - 432.32599999999996, - 436.07599999999996, + 432.326, + 436.076, 439.94, 446.211, - 451.93699999999995, + 451.937, 456.407, 461.61, - 463.66900000000004, - 468.61199999999997, - 471.70599999999996, + 463.669, + 468.612, + 471.706, 478.296, 480.086, 481.941, @@ -57713,7 +57602,7 @@ 504.92, 510.327, 512.226, - 518.3430000000001, + 518.343, 519.24, 519.95, 524.58, @@ -57733,17 +57622,17 @@ 579.172, 585.007, 588.85, - 592.2909999999999, + 592.291, 592.484, 599.475, 602.933, - 607.5409999999999, + 607.541, 611.576, 615.832, 614.643, 623.391, 624.674, - 629.8430000000001, + 629.843, 631.236, 637.975, 640.595, @@ -57758,9 +57647,9 @@ 669.058, 667.434, 668.821, - 675.0039999999999, + 675.004, 678.252, - 681.1419999999999, + 681.142, 684.534, 688.674, 696.695, @@ -57771,33 +57660,33 @@ 707.293, 708.262, 715.21, - 718.7719999999999, + 718.772, 718.799, - 722.6310000000001, - 725.9010000000001, + 722.631, + 725.901, 723.291, - 729.0060000000001, + 729.006, 734.077, 735.04, - 736.5319999999999, + 736.532, 745.318, 741.426, 738.029, 755.674, 753.345, - 754.8480000000001, + 754.848, 755.977, 760.513, 759.913, - 760.2330000000001, + 760.233, 764.301, - 764.6310000000001, + 764.631, 772.047, 774.007, 775.565, - 775.8510000000001, + 775.851, 779.59, - 781.5110000000001, + 781.511, 784.148, 788.178, 791.558, @@ -57805,22 +57694,22 @@ 794.3, 796.497, 786.967, - 782.7439999999999, - 733.3660000000001, + 782.744, + 733.366, 790.253, 783.405, - 773.6110000000001, - 741.7289999999999, - 730.6360000000001, - 744.2610000000001, + 773.611, + 741.729, + 730.636, + 744.261, 735.436, 725.538, 714.428, 706.302, 687.826, - 671.3539999999999, + 671.354, 649.106, - 628.4169999999999, + 628.417, 630.014, 630.129, 608.818, @@ -57830,19 +57719,19 @@ 616.003, 620.891, 620.082, - 615.8919999999999, + 615.892, 584.633, 586.362, - 572.5930000000001, + 572.593, 555.085, 545.561, 554.111, - 573.8480000000001, + 573.848, 594.306, 596.937, 597.169, 593.364, - 613.4590000000001, + 613.459, 608.592, 602.993, 615.16, @@ -57862,7 +57751,7 @@ 581.831, 576.033, 574.2, - 517.9630000000001, + 517.963, 499.189, 507.425, 484.209, @@ -57872,24 +57761,24 @@ 497.119, 514.406, 498.055, - 466.17400000000004, - 441.87300000000005, - 432.73400000000004, + 466.174, + 441.873, + 432.734, 410.426, 409.655, - 407.05699999999996, + 407.057, 409.782, 400.412, 421.712, 450.23, - 458.48800000000006, + 458.488, 452.316, 439.483, - 446.18300000000005, + 446.183, 440.832, 451.667, 448.776, - 456.10400000000004, + 456.104, 465.205, 476.05, 477.019, @@ -57898,24 +57787,24 @@ 458.708, 453.186, 466.796, - 453.57199999999995, - 447.69699999999995, + 453.572, + 447.697, 411.048, 394.009, 409.496, 425.461, 440.15, - 440.88199999999995, - 453.64300000000003, + 440.882, + 453.643, 433.653, - 427.44300000000004, + 427.443, 428.875, 469.102, 476.369, - 451.82099999999997, + 451.821, 377.685, 329.045, - 299.69599999999997, + 299.696, 298.232, 321.949, 320.683, @@ -57927,34 +57816,34 @@ 306.099, 281.193, 227.675, - 219.84599999999998, + 219.846, 226.425, 229.662, - 224.05200000000002, + 224.052, 212.843, 195.391, - 182.59099999999998, + 182.591, 180.169, 182.988, 189.495, - 191.52599999999998, + 191.526, 196.729, 191.488, - 191.80700000000002, + 191.807, 196.195, - 203.93599999999998, + 203.936, 198.282, - 194.52700000000002, + 194.527, 193.69, - 199.90599999999998, + 199.906, 211.456, 215.293, 216.763, - 227.60299999999998, + 227.603, 239.924, 241.956, - 234.25900000000001, - 247.00400000000002, + 234.259, + 247.004, 236.924, 238.553, 243.398, @@ -57971,27 +57860,27 @@ 127.587, 118.228, 111.5, - 110.70700000000001, + 110.707, 108.665, - 105.25200000000001, - 102.22399999999999, - 105.10799999999999, + 105.252, + 102.224, + 105.108, 105.67, - 103.63799999999999, + 103.638, 105.571, 103.941, - 101.70100000000001, + 101.701, 108.065, 113.625, 116.064, 119.257, - 118.49799999999999, + 118.498, 119.197, 120.38, - 123.67299999999999, - 123.71700000000001, + 123.673, + 123.717, 124.834, - 117.42399999999999, + 117.424, 123.227, 135.977, 153.875, @@ -58001,24 +57890,24 @@ 124.135, 121.135, 124.344, - 135.05200000000002, + 135.052, 147.357, 153.363, 137.062, - 155.14700000000002, - 169.62599999999998, - 134.41899999999998, + 155.147, + 169.626, + 134.419, 107.514, 95.38, 90.662, 87.965, - 82.26100000000001, - 79.22800000000001, + 82.261, + 79.228, 74.796, 68.294, - 62.336999999999996, - 56.25899999999999, - 50.891000000000005, + 62.337, + 56.259, + 50.891, 47.985, 46.085, 44.246, @@ -58035,25 +57924,25 @@ 30.962, 28.495, 25.6, - 23.006999999999998, + 23.007, 19.802, 17.573, 16.692, - 13.905999999999999, + 13.906, 12.618, - 12.029000000000002, - 11.324000000000002, + 12.029, + 11.324, 10.603, 9.882, - 9.193999999999999, - 9.072000000000001, + 9.194, + 9.072, 6.722, 5.307, 4.652, - 3.8480000000000003, - 2.8510000000000004, + 3.848, + 2.851, 2.741, - 2.1959999999999997, + 2.196, 0.836, -0.204, -1.294, @@ -58828,13 +58717,13 @@ null, null, -2.048, - -1.5090000000000001, + -1.509, -0.92, - -0.8320000000000001, + -0.832, -0.193, 0.765, 2.813, - 3.5180000000000002, + 3.518, 4.475, 5.555, 5.874, @@ -58856,7 +58745,7 @@ 56.347, 68.542, 82.652, - 83.73100000000001, + 83.731, 60.493, 101.486, 101.838, @@ -58864,7 +58753,7 @@ 104.921, 101.178, 98.194, - 111.62100000000001, + 111.621, 122.77, 129.563, 133.241, @@ -58872,11 +58761,11 @@ 136.858, 154.035, 165.101, - 174.74099999999999, + 174.741, 186.412, 187.205, - 189.18099999999998, - 188.72400000000002, + 189.181, + 188.724, 192.457, 189.445, 183.923, @@ -58884,29 +58773,29 @@ 179.106, 169.72, 172.313, - 178.53400000000002, + 178.534, 174.201, - 154.72299999999998, + 154.723, 169.951, 194.956, - 227.71900000000002, - 252.42700000000002, + 227.719, + 252.427, 236.054, 227.477, 251.761, 225.032, 180.747, - 181.85299999999998, + 181.853, 244.956, - 247.56599999999997, + 247.566, 253.699, 277.768, 256.677, 225.665, 242.611, - 249.05200000000002, + 249.052, 250.324, - 237.78799999999998, + 237.788, 225.61, 266.813, 308.048, @@ -58914,36 +58803,36 @@ 289.533, 316.35, 258.428, - 241.03099999999998, + 241.031, 305.703, 326.535, 343.673, 278.908, 266.185, - 254.24900000000002, + 254.249, 317.335, 293.558, - 289.78700000000003, - 238.64700000000002, + 289.787, + 238.647, 296.536, 333.059, 278.809, - 232.22799999999998, + 232.228, 266.741, 311.736, - 375.68699999999995, + 375.687, 357.844, 310.228, 368.574, - 300.10900000000004, + 300.109, 273.518, 332.96, 394.785, 392.798, - 323.80400000000003, + 323.804, 474.619, 447.351, - 481.62699999999995, + 481.627, 478.588, 516.311, 518.766, @@ -58953,10 +58842,10 @@ 524.266, 536.494, 533.758, - 526.1709999999999, + 526.171, 530.955, 526.865, - 545.9580000000001, + 545.958, 558.736, 552.085, 551.133, @@ -58964,10 +58853,10 @@ 549.635, 585.161, 601.248, - 583.4159999999999, + 583.416, 557.37, - 588.2330000000001, - 594.5369999999999, + 588.233, + 594.537, 580.14, 565.359, 612.975, @@ -58977,7 +58866,7 @@ 391.086, 400.395, 461.593, - 477.11300000000006, + 477.113, 420.666, 325.726, 419.659, @@ -58985,34 +58874,34 @@ 308.428, 557.26, 662.633, - 668.7660000000001, + 668.766, 672.163, 710.447, - 701.6439999999999, + 701.644, 708.025, 703.5, - 699.6460000000001, + 699.646, 703.015, 720.919, 720.842, - 713.2719999999999, + 713.272, 716.927, 712.919, - 715.4739999999999, + 715.474, 715.584, - 722.5319999999999, + 722.532, 730.68, 745.39, - 750.1080000000001, + 750.108, 746.596, - 687.4789999999999, - 721.7439999999999, + 687.479, + 721.744, 712.457, 728.202, - 727.0239999999999, - 749.1389999999999, + 727.024, + 749.139, 775.18, - 757.0060000000001, + 757.006, 771.684, 772.488, 590.909, @@ -59021,30 +58910,30 @@ 691.173, 789.664, 762.33, - 509.85900000000004, + 509.859, 753.367, 487.595, 521.519, 584.82, 521.602, - 701.6110000000001, - 698.2919999999999, + 701.611, + 698.292, 755.96, - 753.4830000000001, + 753.483, 317.743, 684.148, 693.32, - 782.8380000000001, + 782.838, 720.451, 545.754, - 769.5310000000001, + 769.531, 523.011, 617.654, 597.559, - 362.73800000000006, + 362.738, 746.095, 748.567, - 767.2239999999999, + 767.224, 701.98, 581.864, 730.173, @@ -59053,22 +58942,22 @@ 586.571, 559.451, 632.535, - 673.1210000000001, + 673.121, 501.777, 787.908, - 544.1519999999999, + 544.152, 743.21, 539.637, 657.832, 679.628, 716.547, - 740.3969999999999, + 740.397, 556.115, 389.027, 621.354, 701.633, 693.188, - 601.1659999999999, + 601.166, 281.765, 389.379, 497.191, @@ -59077,26 +58966,26 @@ 577.993, 346.431, 630.206, - 664.8960000000001, + 664.896, 625.461, 525.246, 600.026, 436.577, - 547.5319999999999, + 547.532, 513.492, - 214.68200000000002, + 214.682, 423.71, 608.895, 371.685, 272.527, - 229.62400000000002, + 229.624, 353.176, - 501.94199999999995, + 501.942, 501.491, 399.151, 573.193, 622.378, - 634.7040000000001, + 634.704, 623.611, 607.695, 346.338, @@ -59114,60 +59003,60 @@ 516.465, 559.677, 561.697, - 388.11300000000006, + 388.113, 125.28, 104.624, 124.95, - 413.38199999999995, + 413.382, 260.784, 202.845, 211.687, 233.076, 137.998, - 250.15900000000002, - 346.54699999999997, + 250.159, + 346.547, 379.348, 368.348, 130.582, 166.114, - 110.74600000000001, + 110.746, 125.038, 131.87, 130.417, 284.358, - 177.03599999999997, + 177.036, 151.689, 163.565, - 181.03900000000002, + 181.039, 302.476, 355.031, - 420.04900000000004, + 420.049, 289.82, 120.711, 95.001, 87.656, 93.195, - 84.78299999999999, + 84.783, 86.164, - 91.64200000000001, + 91.642, 102.581, 113.339, 119.351, 133.918, - 170.30900000000003, - 143.05200000000002, + 170.309, + 143.052, 112.139, 103.264, - 103.09299999999999, + 103.093, 105.042, - 104.22200000000001, - 104.50299999999999, + 104.222, + 104.503, 100.671, - 97.40100000000001, + 97.401, 98.64, 97.456, 88.311, - 86.79799999999999, + 86.798, 87.833, 92.958, 94.411, @@ -59178,22 +59067,22 @@ 97.863, 94.45, 133.357, - 208.69799999999998, + 208.698, 224.014, 286.362, 175.054, 78.985, 70.342, - 71.34899999999999, + 71.349, 91.494, - 117.95200000000001, + 117.952, 55.615, 49.911, 48.32, 47.621, 52.24, 67.749, - 141.30100000000002, + 141.301, 150.236, 109.816, 65.932, @@ -59203,47 +59092,47 @@ 54.949, 49.003, 45.7, - 41.38399999999999, - 37.513000000000005, - 35.150999999999996, + 41.384, + 37.513, + 35.151, 30.824, 29.272, 27.482, - 26.006999999999998, + 26.007, 24.84, 23.331, 19.918, 17.066, 17.408, 19.092, - 19.054000000000002, + 19.054, 18.52, 18.503, 17.066, 15.712, - 14.154000000000002, + 14.154, 12.144, 10.284, 8.709, 8.34, 8.252, - 6.077999999999999, + 6.078, 5.114, 4.74, 4.938, 4.999, 5.362, 5.676, - 5.757999999999999, + 5.758, 5.604, 4.756, - 4.531000000000001, + 4.531, 3.248, 2.725, 1.348, - 0.08199999999999999, + 0.082, -1.663, - -1.3769999999999998, + -1.377, -1.558, null, null, @@ -60912,7 +60801,7 @@ 800, 798.418, 800, - 799.8660000000001, + 799.866, 800, 800, 800, @@ -61167,7 +61056,7 @@ 800, 800, 800, - 797.5980000000001, + 797.598, 795.23, 800, 800, @@ -61362,7 +61251,7 @@ 800, 796.909, 791.784, - 794.8610000000001, + 794.861, 800, 800, 800, @@ -62208,34 +62097,7 @@ } } } - }, - "text/html": [ - "
" - ] + } }, "metadata": {}, "output_type": "display_data" @@ -76323,11 +76185,11 @@ 94.197, 27.059, 79.618, - 67.46300000000001, + 67.463, 40.778, - 169.49900000000002, - 151.93200000000002, - 150.47799999999998, + 169.499, + 151.932, + 150.478, 209.925, 42.622, null, @@ -76335,15 +76197,15 @@ 104.47, 165.442, 67.942, - 50.571999999999996, + 50.572, 128.297, 124.697, 109.259, - 20.237000000000002, + 20.237, 0.556, 82.806, - 110.70200000000001, - 95.23200000000001, + 110.702, + 95.232, 104.321, 123.959, 128.264, @@ -76352,16 +76214,16 @@ 93.861, 133.208, 133.72, - 91.74700000000001, + 91.747, 136.616, 114.572, - 123.34200000000001, + 123.342, 125.693, - 152.42700000000002, + 152.427, 69.164, - 13.052999999999999, + 13.053, 85.256, - 45.523999999999994, + 45.524, 167.98, 152.334, 146.173, @@ -76369,39 +76231,39 @@ 181.479, 236.137, 258.202, - 205.06400000000002, + 205.064, 249.933, 229.574, 207.085, - 238.03599999999997, + 238.036, 124.152, 220.435, 163.289, 76.266, 218.112, - 214.50599999999997, - 106.34200000000001, + 214.506, + 106.342, 58.313, 200.269, 49.003, - 174.21200000000002, - 170.68900000000002, + 174.212, + 170.689, 160.465, 140.541, 118.305, 96.531, 33.654, 58.676, - 45.17100000000001, + 45.171, 24.229, 39.969, 31.975, 28.143, 26.805, 15.784, - 17.555999999999997, - 7.8389999999999995, - 15.050999999999998, + 17.556, + 7.839, + 15.051, 7.058, 5.285, 3.512, @@ -76409,13 +76271,13 @@ 5.235, 4.965, -4.763, - -3.0060000000000002, + -3.006, 6.815, 3.892, 6.865, 10.52, 10.13, - 21.750999999999998, + 21.751, 9.953, 31.54, 3.859, @@ -76425,29 +76287,29 @@ 28.595, 14.6, 18.283, - 13.857000000000001, + 13.857, 6.942, 9.689, 7.553, - 3.9410000000000003, + 3.941, 3.897, 5.4, - 7.2829999999999995, - 7.861000000000001, + 7.283, + 7.861, 5.433, 5.472, - 5.2075000000000005, - 4.9430000000000005, + 5.2075, + 4.943, -0.815, -0.193, 5.307, - 4.5360000000000005, + 4.536, 7.146, 2.009, 7.058, 4.96, 6.265, - 5.7860000000000005, + 5.786, 2.02, 7.443, 2.824, @@ -76455,13 +76317,13 @@ null, null, null, - 5.053999999999999, + 5.054, 7.3, 4.96, - 5.683999999999999, - 6.4079999999999995, - 3.1489999999999996, - 1.9709999999999999, + 5.684, + 6.408, + 3.149, + 1.971, 2.67, 2.081, null, @@ -77372,7 +77234,7 @@ null, null, null, - -1.4809999999999999, + -1.481, -0.672, -3.628, -5.638, @@ -77384,34 +77246,34 @@ -0.738, 0.759, -1.294, - 2.8569999999999998, - 1.5959999999999999, + 2.857, + 1.596, 2.51, 1.514, 1.8, 2.736, -1.47, 0.754, - 4.6080000000000005, - 1.2990000000000002, + 4.608, + 1.299, 3.589, 3.033, 3.2645, - 3.4960000000000004, + 3.496, 3.49, 1.855, - 5.702999999999999, - 3.5669999999999997, - 1.9269999999999998, + 5.703, + 3.567, + 1.927, 6.683, 1.585, - 5.587999999999999, + 5.588, 2.516, - 6.7379999999999995, + 6.738, 1.249, 2.989, 9.568, - 10.504000000000001, + 10.504, 9.524, 11.17, 15.503, @@ -77420,51 +77282,51 @@ 8.037, 6.54, 16.02, - 13.824000000000002, + 13.824, 16.202, 5.318, null, null, 15.442, - 22.791999999999998, - 17.875999999999998, - 20.930999999999997, + 22.792, + 17.876, + 20.931, 12.513, - 6.082999999999999, - 20.881999999999998, - 12.029000000000002, + 6.083, + 20.882, + 12.029, 18.316, 0.589, 8.913, 17.76, 19.72, 19.384, - 29.535999999999998, + 29.536, 28.545, - 30.581999999999997, + 30.582, 25.886, - 23.078000000000003, + 23.078, 32.509, - 6.457000000000001, - 0.5720000000000001, + 6.457, + 0.572, 41.857, 33.819, 19.775, 45.342, - 48.083999999999996, + 48.084, 17.435, 31.375, 51.618, 53.6, - 59.17100000000001, + 59.171, 20.425, 39.649, 33.643, 67.33, 42.82, - 9.363999999999999, + 9.364, 86.836, - 73.35300000000001, + 73.353, 75.979, 83.478, 97.225, @@ -77472,14 +77334,14 @@ 91.345, 123.227, 78.204, - 123.29299999999999, + 123.293, 146.674, 3.011, 76.205, 150.632, - 15.970999999999998, + 15.971, 65.827, - 220.91400000000002, + 220.914, 166.02, 280.02, 303.121, @@ -77487,15 +77349,15 @@ 148.072, 145.898, 11.478, - 497.16900000000004, + 497.169, 207.266, 596.558, - 640.1990000000001, + 640.199, 630.46, 360.399, 528.313, - 725.6310000000001, - 451.61699999999996, + 725.631, + 451.617, 93.244, 718.199, 649.217, @@ -77509,9 +77371,9 @@ 71.206, 540.865, 415.04, - 773.0989999999999, - 625.9730000000001, - 669.1460000000001, + 773.099, + 625.973, + 669.146, 721.442, 306.253, 482.728, @@ -77523,7 +77385,7 @@ 746.034, 567.456, 609.528, - 374.05699999999996, + 374.057, 734.33, 626.099, 229.238, @@ -77531,9 +77393,9 @@ 571.409, 340.298, 192.44, - 482.45300000000003, + 482.453, 726.341, - 377.64099999999996, + 377.641, 125.61, 31.689, 625.604, @@ -77541,39 +77403,39 @@ 666.823, 225.555, 526.496, - 721.1610000000001, + 721.161, 425.957, 742.324, 789.455, 705.828, - 174.15099999999998, + 174.151, 610.145, 445.699, 87.992, 406.027, - 474.76199999999994, + 474.762, 674.541, 390.348, - 669.0360000000001, + 669.036, 227.02, 404.64, - 473.68300000000005, + 473.683, 731.186, 676.055, - 233.62599999999998, - 734.7919999999999, + 233.626, + 734.792, 550.967, - 412.38599999999997, - 445.85900000000004, + 412.386, + 445.859, 587.132, 662.039, 559.451, - 668.7389999999999, - 772.1410000000001, - 342.68800000000005, - 417.68199999999996, - 766.5360000000001, - 463.87199999999996, + 668.739, + 772.141, + 342.688, + 417.682, + 766.536, + 463.872, 615.457, 565.045, 524.756, @@ -77581,21 +77443,21 @@ 286.659, 467.539, 209.87, - 31.291999999999998, + 31.292, 592.489, 119.499, - 505.75699999999995, + 505.757, 564.109, - 749.7280000000001, + 749.728, 494.086, - 342.36800000000005, + 342.368, 711.681, 607.965, 641.663, 236.472, 285.151, 610.508, - 762.5889999999999, + 762.589, 141.582, 653.434, 776.633, @@ -77608,7 +77470,7 @@ 166.025, 658.95, 409.661, - 245.53400000000002, + 245.534, 615.48, 786.581, 732.54, @@ -77616,13 +77478,13 @@ 567.307, 180.703, 489.973, - 122.53299999999999, + 122.533, 90.47, 561.808, - 633.8290000000001, + 633.829, 611.549, 629.689, - 690.7660000000001, + 690.766, 712.765, 766.602, 488.459, @@ -77632,43 +77494,43 @@ 184.48, 602.58, 438.465, - 454.67800000000005, + 454.678, 277.62, 594.394, 694.735, 282.844, 675.158, 562.215, - 578.9069999999999, + 578.907, 493.585, - 629.5840000000001, + 629.584, 750.345, - 767.5269999999999, + 767.527, 275.863, 759.847, 721.21, 380.961, - 0.46799999999999997, + 0.468, 377.454, 713.409, - 204.59599999999998, - 427.26099999999997, + 204.596, + 427.261, 655.096, 767.423, 765.419, 338.305, - 348.51800000000003, - 289.58799999999997, + 348.518, + 289.588, 479.64, 440.32, 502.399, - 417.68800000000005, - 744.8889999999999, - 745.4010000000001, - 742.5269999999999, - 738.6569999999999, + 417.688, + 744.889, + 745.401, + 742.527, + 738.657, 599.448, - 484.80400000000003, + 484.804, 306.132, 46.058, 579.304, @@ -77687,7 +77549,7 @@ 280.02, 460.806, 525.819, - 501.61199999999997, + 501.612, 657.948, 638.514, 20.276, @@ -77696,45 +77558,45 @@ 576.606, 376.48, 15.057, - 631.2080000000001, + 631.208, 439.17, 622.24, - 498.62800000000004, + 498.628, 566.052, 513.492, - 390.30400000000003, + 390.304, 406.594, 603.599, 479.535, 409.441, - 408.26199999999994, + 408.262, 490.832, 494.895, 581.842, 575.433, - 403.07099999999997, - 333.52099999999996, + 403.071, + 333.521, 299.559, 386.72, - 512.7330000000001, + 512.733, 555.614, 551.65, - 411.42800000000005, + 411.428, 431.099, 541.746, 535.927, 435.608, 443.811, - 413.43699999999995, - 232.15599999999998, + 413.437, + 232.156, 463.569, 338.79, - 497.37300000000005, + 497.373, 333.819, - 404.93199999999996, - 337.07199999999995, + 404.932, + 337.072, 322.307, - 258.95599999999996, + 258.956, 470.126, 455.273, 397.852, @@ -77747,8 +77609,8 @@ 207.938, 358.907, 197.731, - 365.55199999999996, - 380.57599999999996, + 365.552, + 380.576, 347.219, 73.485, 211.373, @@ -77756,67 +77618,67 @@ 59.403, 90.756, 250.891, - 269.64799999999997, - 223.55700000000002, - 219.11900000000003, + 269.648, + 223.557, + 219.119, 224.762, 245.105, - 202.46599999999998, + 202.466, 60.674, 240.998, 185.327, 52.675, 189.264, 119.566, - 90.67299999999999, - 121.70200000000001, - 88.37799999999999, + 90.673, + 121.702, + 88.378, 116.037, - 88.76299999999999, - 102.43799999999999, + 88.763, + 102.438, 107.85, 97.764, - 103.95200000000001, - 92.25299999999999, + 103.952, + 92.253, 80.791, 61.445, 44.213, 0.429, 39.936, - 51.13399999999999, + 51.134, 54.354, - 64.15899999999999, - 26.226999999999997, + 64.159, + 26.227, 0.335, - 43.156000000000006, + 43.156, 41.059, 40.954, 48.133, 37.183, 25.748, 35.311, - 28.848000000000003, + 28.848, 20.342, 24.763, 29.96, 28.506, 23.535, 31.386, - 21.706999999999997, - 22.851999999999997, + 21.707, + 22.852, 23.155, - 23.618000000000002, + 23.618, 19.059, - 23.089000000000002, + 23.089, 14.897, 3.859, - 12.017999999999999, + 12.018, 15.013, 13.515, 5.769, 6.727, - 2.9619999999999997, - 10.152000000000001, + 2.962, + 10.152, 12.645, 9.106, 0.451, @@ -77827,7 +77689,7 @@ 6.215, 0.589, 3.782, - -1.0190000000000001, + -1.019, 0.09050000000000002, 1.2, 0.748, @@ -78625,7 +78487,7 @@ null, null, null, - -1.7790000000000001, + -1.779, 0.297, -1.024, 1.238, @@ -78636,25 +78498,25 @@ 4.591, 8.467, 7.245, - 12.232999999999999, + 12.233, 13.548, 19.56, - 30.499000000000002, + 30.499, 43.558, 40.36, 24.647, - 29.668000000000003, - 46.983000000000004, - 43.696000000000005, - 0.6659999999999999, + 29.668, + 46.983, + 43.696, + 0.666, 0.677, 16.059, 31.441, 62.458, 69.428, - 51.876999999999995, - 52.696999999999996, - 93.93799999999999, + 51.877, + 52.697, + 93.938, 62.965, 77.4, 75.638, @@ -78662,10 +78524,10 @@ 79.387, 41.852, 92.044, - 87.34299999999999, + 87.343, 63.438, 84.116, - 80.65899999999999, + 80.659, 117.98, 121.867, 153.159, @@ -78673,9 +78535,9 @@ 48.188, 226.486, 162.739, - 42.968999999999994, + 42.969, 121.735, - 112.87100000000001, + 112.871, 125.021, 129.31, 11.148, @@ -78686,34 +78548,34 @@ 130.158, 142.512, 78.473, - 100.30799999999999, - 213.03599999999997, - 224.52599999999998, + 100.308, + 213.036, + 224.526, 113.79, 131.892, 130.918, - 202.50400000000002, + 202.504, 215.15, - 141.59799999999998, + 141.598, 164.55, 116.45, - 167.91400000000002, + 167.914, 160.74, 152.179, 9.469, - 124.01899999999999, - 247.24599999999998, + 124.019, + 247.246, 227.889, 160.939, - 138.43200000000002, + 138.432, 138.493, 36.935, 107.619, 116.251, 92.897, 11.561, - 5.7860000000000005, - 126.84899999999999, + 5.786, + 126.849, 134.314, 134.81, 116.18, @@ -78721,16 +78583,16 @@ 118.255, 0.638, 71.184, - 118.89399999999999, + 118.894, 145.16, 10.074, 60.41, - 148.17700000000002, + 148.177, 118.723, 157.079, 157.239, 83.5, - 171.43200000000002, + 171.432, 168.602, 171.861, 94.934, @@ -78744,7 +78606,7 @@ 259.777, 306.815, 29.987, - 12.359000000000002, + 12.359, 152.091, 86.324, 302.46, @@ -78752,20 +78614,20 @@ 17.127, 260.9, 315.48, - 25.534000000000002, + 25.534, 156.336, 240.37, 171.845, - 189.40099999999998, - 197.78099999999998, + 189.401, + 197.781, 171.856, 170.391, 160.482, - 264.54400000000004, + 264.544, 171.696, 281.435, - 312.66700000000003, - 355.75800000000004, + 312.667, + 355.758, 436.912, 318.183, 316.025, @@ -78774,7 +78636,7 @@ 123.6285, 0.578, 299.459, - 346.64599999999996, + 346.646, 326.205, 101.8, 262.172, @@ -78795,13 +78657,13 @@ 400.401, 392.319, 455.46, - 485.55800000000005, + 485.558, 366.829, 378.236, - 450.25199999999995, + 450.252, 408.224, - 400.97900000000004, - 345.36300000000006, + 400.979, + 345.363, 357.222, 446.789, 129.376, @@ -78812,20 +78674,20 @@ 609.198, 623.765, 618.056, - 457.30400000000003, + 457.304, 51.145, 336.059, 189.032, - 136.47799999999998, + 136.478, 245.11, 580.383, - 432.11699999999996, + 432.117, 622.064, 579.986, 598.44, - 264.58799999999997, - 522.5930000000001, - 615.1709999999999, + 264.588, + 522.593, + 615.171, 339.324, 324.14, 107.206, @@ -78835,32 +78697,32 @@ 445.974, 305.466, 337.7, - 336.92400000000004, + 336.924, 403.566, 217.308, 156.782, 334.788, - 354.50199999999995, - 382.55199999999996, - 404.76099999999997, + 354.502, + 382.552, + 404.761, 437.21, 446.305, 463.608, 121.509, - 471.50300000000004, - 451.62800000000004, + 471.503, + 451.628, 441.339, - 111.90799999999999, + 111.908, 191.482, 473.523, - 34.788000000000004, + 34.788, 250.263, 353.577, 457.86, 268.828, 415.051, - 394.08099999999996, - 361.36199999999997, + 394.081, + 361.362, 30.516, 128.154, 36.754, @@ -78869,39 +78731,39 @@ 393.376, 422.18, 216.13, - 488.54699999999997, + 488.547, 328.908, 538.602, 540.529, 518.645, 426.909, - 161.97899999999998, + 161.979, 67.997, 204.938, - 0.46799999999999997, + 0.468, 181.033, 44.153, - 262.33099999999996, + 262.331, 462.909, 371.844, 560.442, 563.487, - 378.69800000000004, + 378.698, 657.42, 682.689, 531.297, 731.153, - 747.9939999999999, + 747.994, 758.295, - 465.73900000000003, + 465.739, 608.818, 616.25, 543.535, 587.573, 746.965, - 234.69400000000002, + 234.694, 767.659, - 672.9169999999999, + 672.917, 394.565, 516.14, 487.171, @@ -78915,35 +78777,35 @@ 443.833, 661.554, 511.45, - 748.9689999999999, + 748.969, 593.987, 650.653, 572.906, 515.48, 725.835, - 666.7510000000001, + 666.751, 436.164, 474.635, 670.187, - 252.03599999999997, + 252.036, 562.187, 354.684, 346.096, - 659.0110000000001, + 659.011, 339.528, - 529.3480000000001, - 486.85699999999997, + 529.348, + 486.857, 493.469, 796.073, 491.162, 662.936, 619.752, 428.853, - 545.9630000000001, - 757.0010000000001, + 545.963, + 757.001, 714.23, 666.663, - 472.69699999999995, + 472.697, 517.974, 261.241, 520.495, @@ -78954,8 +78816,8 @@ 212.827, 595.341, 662.903, - 792.4169999999999, - 572.8290000000001, + 792.417, + 572.829, 371.376, 741.388, 649.332, @@ -78964,20 +78826,20 @@ 764.285, 697.548, 697.201, - 680.5039999999999, + 680.504, 600.4304999999999, 520.357, 759.798, - 600.9780000000001, - 448.68300000000005, + 600.978, + 448.683, 730.454, - 720.4839999999999, - 635.1669999999999, + 720.484, + 635.167, 688.569, - 419.22900000000004, + 419.229, 541.592, 420.528, - 442.19800000000004, + 442.198, 464.07, 293.475, 208.896, @@ -78991,14 +78853,14 @@ 619.476, 352.163, 563.663, - 549.3430000000001, + 549.343, 311.577, 516.405, 512.375, 490.849, 301.293, 371.608, - 238.36599999999999, + 238.366, 0.385, 95.391, 130.136, @@ -79016,13 +78878,13 @@ 354.745, 217.011, 260.47, - 198.63400000000001, + 198.634, 314.434, 304.172, 161.715, 218.31, 317.715, - 177.46599999999998, + 177.466, 311.687, 223.782, 293.8, @@ -79033,16 +78895,16 @@ 94.99, 279.541, 229.761, - 155.53799999999998, + 155.538, 295.848, 303.952, 306.594, 301.133, - 129.28799999999998, + 129.288, 176.497, 300.384, 302.933, - 204.92700000000002, + 204.927, 250.065, 299.988, 199.796, @@ -79052,41 +78914,41 @@ 195.688, 148.502, 210.834, - 246.49200000000002, + 246.492, 196.988, 247.544, - 304.02299999999997, + 304.023, 229.238, - 127.43299999999999, + 127.433, 128.22, 57.646, - 177.93900000000002, + 177.939, 133.219, 273.232, - 196.61900000000003, + 196.619, 166.136, 219.642, - 175.03799999999998, + 175.038, 222.604, 181.551, 180.84, - 178.81400000000002, - 200.59400000000002, + 178.814, + 200.594, 50.28, - 184.06099999999998, + 184.061, 218.993, 162.656, 150.153, - 199.12900000000002, - 106.64399999999999, + 199.129, + 106.644, 195.424, - 153.89700000000002, + 153.897, 204.095, 78.672, 159.1, - 141.16299999999998, + 141.163, 189.511, - 183.84099999999998, + 183.841, 179.128, 176.387, 176.541, @@ -79116,39 +78978,39 @@ 106.375, 0.462, 0.517, - 111.86399999999999, - 111.07600000000001, + 111.864, + 111.076, 56.199, 109.551, - 99.81200000000001, + 99.812, 102.46, 106.088, 76.657, - 92.03299999999999, + 92.033, 80.94, 76.156, 83.5, - 54.608000000000004, + 54.608, 86.28, 80.626, 66.24, 77.604, - 78.86399999999999, + 78.864, 56.705, 76.882, 81.182, - 51.111999999999995, + 51.112, 82.646, - 87.98700000000001, + 87.987, 85.069, 0.484, 0.517, 45.381, 90.376, - 91.76899999999999, + 91.769, 68.999, 35.278, - 88.09700000000001, + 88.097, 98.227, 96.944, 90.431, @@ -79169,28 +79031,28 @@ 0.49, 168.101, 189.5, - 143.72899999999998, - 194.19099999999997, - 189.40099999999998, + 143.729, + 194.191, + 189.401, 195.947, 213.372, 36.5, 44.268, 288.944, 315.238, - 224.83900000000003, + 224.839, 296.426, 244.923, 69.544, 16.02, 194.918, 68.024, - 234.93099999999998, + 234.931, 214.704, 334.975, 329.546, 302.587, - 26.238000000000003, + 26.238, 290.634, 149.944, 233.835, @@ -79202,24 +79064,24 @@ 28.435, 126.855, 160.751, - 121.23899999999999, + 121.239, 132.894, 113.515, 105.819, - 99.20700000000001, + 99.207, 8.291, 50.545, - 56.788000000000004, + 56.788, 54.982, 39.87, 44.676, 41.631, - 41.196000000000005, + 41.196, 36.043, 38.741, 18.377, 37.855, - 31.066999999999997, + 31.067, 30.725, 25.864, 35.449, @@ -79229,25 +79091,25 @@ 0.534, 19.808, 20.166, - 20.991999999999997, - 14.914000000000001, + 20.992, + 14.914, 20.314, - 21.035999999999998, + 21.036, 14.308, - 14.770999999999999, + 14.771, 9.205, 12.706, 3.077, 6.303, 11.401, - 11.312999999999999, + 11.313, 5.197, 4.09, 9.43, 7.691, 5.676, - 0.14300000000000002, - 3.5839999999999996, + 0.143, + 3.584, null, null, null, @@ -80072,12 +79934,12 @@ null, null, null, - 0.5720000000000001, + 0.572, -5.148, 0.016, null, null, - -9.177999999999999, + -9.178, 2.637, 0.413, 3.1239999999999997, @@ -80088,49 +79950,49 @@ 6.034, 11.77, 8.693, - 15.155999999999999, + 15.156, 16.125, 16.257, 14.38, 20.893, - 23.089000000000002, + 23.089, 30.439, - 29.221999999999998, + 29.222, 33.77, 33.478, 24.625, 16.516, - 14.902999999999999, - 20.182000000000002, + 14.903, + 20.182, 42.22, 29.2, 15.31, 45.078, - 43.36600000000001, + 43.366, 46.542, 29.261, 48.018, 39.506, 36.814, 54.051, - 47.108999999999995, - 53.153999999999996, + 47.109, + 53.154, 0.517, 58.863, 60.878, 39.589, - 0.5670000000000001, + 0.567, 42.386, 32.927, 34.529, - 38.211999999999996, - 56.93600000000001, + 38.212, + 56.936, 43.503, 55.235, 50.467, - 50.556000000000004, + 50.556, 16.747, - 20.898000000000003, + 20.898, 61.027, 46.658, 57.173, @@ -80140,18 +80002,18 @@ 71.421, 83.77, 26.783, - 41.461000000000006, + 41.461, 78.044, 74.124, - 59.63399999999999, + 59.634, 115.508, 118.156, 107.745, - 79.59100000000001, + 79.591, 126.271, - 122.63799999999999, - 188.74099999999999, - 166.05900000000003, + 122.638, + 188.741, + 166.059, 138.108, 126.805, 122.39, @@ -80160,25 +80022,25 @@ 100.264, 136.451, 158.615, - 121.37700000000001, + 121.377, 125.346, 167.886, 163.036, 172.555, 116.609, 119.758, - 82.70100000000001, + 82.701, 158.208, 125.814, 124.834, - 156.18200000000002, + 156.182, 89.572, 148.832, 146.68, 105.83, - 119.59899999999999, + 119.599, 35.113, - 90.40899999999999, + 90.409, 117.215, 33.467, 67.738, @@ -80186,21 +80048,21 @@ 92.809, 108.742, 107.195, - 98.84899999999999, + 98.849, 99.587, 113.801, - 117.41799999999999, + 117.418, 115.057, - 110.70200000000001, + 110.702, 48.915, 88.851, - 114.15899999999999, + 114.159, 143.404, 159.689, 106.71, 136.847, 85.322, - 169.53799999999998, + 169.538, 120.303, 46.845, 134.782, @@ -80225,12 +80087,12 @@ 121.603, 260.889, 248.067, - 235.44299999999998, - 229.06799999999998, - 167.58900000000003, - 167.89700000000002, + 235.443, + 229.068, + 167.589, + 167.897, 225.467, - 144.08700000000002, + 144.087, 126.579, 203.523, 270.215, @@ -80242,9 +80104,9 @@ 150.809, 356.281, 501.089, - 540.1659999999999, - 598.1759999999999, - 477.20599999999996, + 540.166, + 598.176, + 477.206, 603.368, 338.476, 31.138, @@ -80258,7 +80120,7 @@ 538.3, 680.074, 689.962, - 594.3330000000001, + 594.333, 649.607, 619.317, 597.389, @@ -80269,10 +80131,10 @@ 551.612, 286.203, 377.162, - 325.07599999999996, + 325.076, 300.252, - 294.16900000000004, - 221.92700000000002, + 294.169, + 221.927, 138.68, 70.925, 275.357, @@ -80280,40 +80142,40 @@ 255.422, 218.519, 71.25, - 204.33700000000002, - 228.15900000000002, + 204.337, + 228.159, 461.527, 470.374, 384.898, 347.764, - 341.87300000000005, + 341.873, 441.509, 522.923, - 507.12300000000005, + 507.123, 41.841, - 446.00699999999995, + 446.007, 166.46, 587.512, 587.754, 549.63, - 393.93199999999996, + 393.932, 578.258, 596.569, 105.125, - 712.2260000000001, + 712.226, 503.555, 469.895, 526.391, 528.66, - 756.0369999999999, - 756.1419999999999, - 168.28799999999998, + 756.037, + 756.142, + 168.288, 626.887, 589.665, - 739.5210000000001, - 659.7919999999999, + 739.521, + 659.792, 518.381, - 412.38599999999997, + 412.386, 631.996, 601.595, 677.068, @@ -80325,51 +80187,51 @@ 445.996, 736.681, 714.835, - 463.81699999999995, - 379.00699999999995, + 463.817, + 379.007, 669.933, 504.931, 597.02, 179.035, - 628.4119999999999, - 799.1610000000001, + 628.412, + 799.161, 782.414, 749.073, 552.085, 628.77, - 508.19599999999997, - 788.8330000000001, + 508.196, + 788.833, 734.456, 98.26, 784.115, 328.495, 471.029, - 5.6370000000000005, + 5.637, 515.656, - 310.97700000000003, + 310.977, 44.037, 74.565, 30.621, 455.251, - 384.51199999999994, - 505.05300000000005, + 384.512, + 505.053, 717.059, - 377.55300000000005, + 377.553, 594.57, 652.944, 406.6, - 464.74800000000005, + 464.748, 697.658, 353.539, 314.654, 705.949, 662.628, - 445.25300000000004, + 445.253, 451.089, - 698.9580000000001, - 392.57199999999995, + 698.958, + 392.572, 720.17, - 434.04400000000004, + 434.044, 782.331, 160.509, 797.306, @@ -80377,11 +80239,11 @@ 777.057, 721.205, 517.726, - 740.4630000000001, + 740.463, 693.293, - 187.55200000000002, + 187.552, 397.009, - 728.8739999999999, + 728.874, 651.727, 752.712, 79.883, @@ -80390,92 +80252,92 @@ 744.586, 353.082, 616.685, - 493.70599999999996, + 493.706, 756.643, 508.648, - 795.5880000000001, - 795.5219999999999, + 795.588, + 795.522, 563.244, 328.407, - 403.04900000000004, + 403.049, 551.898, - 419.74699999999996, + 419.747, 272.472, 437.705, 303.88, 378.55, - 364.75300000000004, - 520.4730000000001, - 478.92900000000003, + 364.753, + 520.473, + 478.929, 460.096, 418.431, - 381.20300000000003, + 381.203, 296.844, 289.996, 258.472, - 302.17400000000004, - 356.19199999999995, + 302.174, + 356.192, 158.334, - 355.80699999999996, + 355.807, 0.264, 353.654, 308.907, 153.55, 219.708, - 355.80199999999996, + 355.802, 0.512, 152.645, 304.778, 380.537, 383.785, - 108.54899999999999, + 108.549, 546.508, 642.572, 357.602, 531.82, - 384.14300000000003, - 493.61199999999997, + 384.143, + 493.612, 620.71, 429.095, 181.942, 515.612, - 433.31199999999995, + 433.312, 42.887, 596.315, 512.606, 16.912, - 375.64300000000003, + 375.643, 205.725, - 311.54900000000004, + 311.549, 316.4, 222.588, 206.782, 276.986, 285.514, - 393.60699999999997, - 115.77799999999999, + 393.607, + 115.778, 53.528, 0.457, 75.01, 229.882, 255.593, 0.473, - 121.55799999999999, - 152.38299999999998, - 113.87799999999999, + 121.558, + 152.383, + 113.878, 128.418, 96.652, - 114.29700000000001, + 114.297, 82.156, - 114.37899999999999, + 114.379, 74.086, 136.775, 132.327, 119.329, - 97.59899999999999, + 97.599, 60.757, 128.374, - 135.42700000000002, + 135.427, 140.695, 144.813, 146.404, @@ -80483,13 +80345,13 @@ 157.828, 100.743, 116.796, - 42.913999999999994, + 42.914, 39.126, - 95.61200000000001, - 21.156999999999996, + 95.612, + 21.157, 72.192, 32.79, - 106.36399999999999, + 106.364, 84.094, 35.509, 99.24, @@ -80510,17 +80372,17 @@ 67.617, 22.764, 21.691, - 33.510999999999996, + 33.511, 33.83, 34.271, 33.164, - 20.397000000000002, + 20.397, 28.451, 32.503, 19.158, - 28.798000000000002, + 28.798, 5.142, - 21.278000000000002, + 21.278, 23.309, 14.3765, 5.444, @@ -80532,26 +80394,26 @@ 5.626, 12.387, 12.1, - 12.265999999999998, + 12.266, 6.331, 12.007, - 15.177999999999999, + 15.178, 7.746, 11.886, 9.579, 11.495, 7.3, - 11.802999999999999, - 3.4019999999999997, + 11.803, + 3.402, 4.872, 6.023, 5.428, 5.318, - 5.207999999999999, + 5.208, 2.505, 6.237, - 3.0389999999999997, - 1.3430000000000002, + 3.039, + 1.343, 2.758, 0.644, 1.899, @@ -80563,14 +80425,14 @@ 0.616, 6.485, 1.123, - 5.8020000000000005, + 5.802, 9.975, 9.458, 8.693, 7.564, 5.312, 4.913, - 4.513999999999999, + 4.514, 1.315, 0, 3.033, @@ -80581,13 +80443,13 @@ -0.617, 1.695, -1.514, - -0.08800000000000001, + -0.088, -0.36350000000000005, -0.639, null, null, null, - -7.178999999999999, + -7.179, null, null, null, @@ -81495,9 +81357,9 @@ -2.715, null, null, - -1.8719999999999999, + -1.872, -1.4455, - -1.0190000000000001, + -1.019, -1.696, -0.127, -3.045, @@ -81507,80 +81369,80 @@ null, -1.861, -1.454, - 0.9740000000000001, + 0.974, -1.052, 0.825, - 0.14800000000000002, + 0.148, 2.84, - 3.7489999999999997, + 3.749, 4.668, 4.008, - 3.4739999999999998, + 3.474, -3.623, 4.723, - 7.867000000000001, - 3.2969999999999997, - 7.162000000000001, + 7.867, + 3.297, + 7.162, 11.462, - 7.377000000000001, + 7.377, 10.146, 6.193, 6.903, 7.806, 3.523, 13.257, - 5.537999999999999, - 1.8880000000000001, + 5.538, + 1.888, 13.042, - 14.527999999999999, + 14.528, 7.256, 9.452, 13.807, 10.273, 18.867, - 12.607000000000001, + 12.607, 15.905, 14.627, 8.461, 16.852, 18.701, - 21.156999999999996, + 21.157, 11.087, 13.13, 24.174, 24.581, 33.434, - 17.182000000000002, + 17.182, 8.379, 32.503, - 31.781999999999996, + 31.782, 32.107, 59.562, 34.1, - 26.453000000000003, + 26.453, 36.869, 1.403, - 25.688000000000002, + 25.688, 28.336, 17.925, - 45.358000000000004, + 45.358, 89.792, - 110.31700000000001, + 110.317, 93.663, 116.152, 116.906, 106.755, 71.972, 145.518, - 154.07299999999998, + 154.073, 172.362, - 178.40200000000002, + 178.402, 191.114, 208.637, - 212.77200000000002, + 212.772, 182.85, 183.957, - 303.88599999999997, + 303.886, 224.333, 347.186, 361.175, @@ -81597,27 +81459,27 @@ 455.3, 665.446, 197.136, - 494.60900000000004, + 494.609, 615.067, 398.259, 502.746, - 669.3989999999999, + 669.399, 677.184, 437.65, 302.317, 402.746, 261.775, 718.887, - 716.6189999999999, + 716.619, 434.352, - 479.23199999999997, + 479.232, 654.276, - 737.7489999999999, + 737.749, 360.811, 289.599, 715.727, 642.929, - 499.64099999999996, + 499.641, 638.624, 730.327, 732.75, @@ -81633,32 +81495,32 @@ 775.637, 787.325, 613.971, - 672.2510000000001, + 672.251, 498.055, - 385.55800000000005, + 385.558, 590.259, 525.279, 584.534, 381.352, 622.196, 527.036, - 220.55599999999998, + 220.556, 264.286, 274.603, - 510.56300000000005, + 510.563, 590.254, - 525.1469999999999, + 525.147, 406.06, 502.19, 754.056, 477.911, - 705.1289999999999, + 705.129, 601.369, - 779.4960000000001, + 779.496, 755.597, 323.991, 581.005, - 60.861999999999995, + 60.862, 673.066, 664.665, 603.764, @@ -81666,32 +81528,32 @@ 536.4, 313.096, 143.806, - 725.1189999999999, + 725.119, 498.259, 142.033, 305.703, 535.976, 383.962, 494.466, - 546.3919999999999, + 546.392, 320.87, 229.982, 643.766, - 796.6010000000001, + 796.601, 721.012, 535.283, - 668.3480000000001, + 668.348, 705.922, - 274.14599999999996, + 274.146, 762, 599.007, - 787.2589999999999, - 504.85400000000004, - 785.4860000000001, - 146.94899999999998, + 787.259, + 504.854, + 785.486, + 146.949, 574.217, - 614.3009999999999, - 746.6560000000001, + 614.301, + 746.656, 721.095, 578.181, 600.554, @@ -81702,35 +81564,35 @@ 143.53, 496.64, 420.462, - 711.0089999999999, + 711.009, 275.214, 553.401, 748.176, 670.676, - 566.8340000000001, + 566.834, 113.906, - 312.85400000000004, + 312.854, 739.13, 343.101, - 711.3889999999999, + 711.389, 732.59, 680.658, 327.003, - 332.43699999999995, - 6.9910000000000005, + 332.437, + 6.991, 18.233, - 316.95599999999996, - 520.4680000000001, + 316.956, + 520.468, 283.868, 293.123, 19.516, 528.175, - 770.7919999999999, + 770.792, 36.264, - 441.92800000000005, + 441.928, 704.623, - 705.7510000000001, - 772.7189999999999, + 705.751, + 772.719, 80.053, 604.265, 352.796, @@ -81741,28 +81603,28 @@ 400.847, 760.53, 509.528, - 678.8960000000001, + 678.896, 485.47, 721.585, 452.839, 382.233, 516.173, - 728.5989999999999, + 728.599, 289.654, - 83.02600000000001, + 83.026, 380.62, - 486.95099999999996, + 486.951, 244.637, 593.254, - 124.75200000000001, - 417.24699999999996, + 124.752, + 417.247, 781.742, 530.526, 164.842, 271.03, 70.628, 516.531, - 118.81700000000001, + 118.817, 209.546, 657.943, 679.683, @@ -81770,37 +81632,37 @@ 222.946, 70.116, 482.431, - 404.56300000000005, + 404.563, 149.124, 432.282, - 0.14300000000000002, - 183.24099999999999, + 0.143, + 183.241, 570.765, - 778.5210000000001, - 437.82599999999996, - 382.64599999999996, + 778.521, + 437.826, + 382.646, 218.172, 753.775, 313.603, 359.017, 258.087, - 312.72700000000003, - 491.00300000000004, + 312.727, + 491.003, 5.956, 616.432, 602.035, - 116.76899999999999, + 116.769, 412.43, - 390.35900000000004, + 390.359, 295.82, 214.28, 136.203, 255.268, 212.183, 178.358, - 421.12300000000005, + 421.123, 627.211, - 503.69300000000004, + 503.693, 534.627, 230.989, 19.175, @@ -81808,7 +81670,7 @@ 150.352, 209.722, 179.205, - 203.02200000000002, + 203.022, 126.574, 158.907, 129.987, @@ -81816,79 +81678,79 @@ 507.222, 653.379, 766.701, - 534.5830000000001, + 534.583, 547.433, 792.164, - 684.8860000000001, + 684.886, 566.195, 662.985, - 374.87800000000004, + 374.878, 769.801, 797.025, 784.836, 627.878, 618.194, 766.25, - 466.11300000000006, + 466.113, 515.43, 789.18, - 596.0840000000001, + 596.084, 604.122, 588.09, 575.56, - 404.11699999999996, + 404.117, 738.437, 514.99, 564.747, - 512.2040000000001, + 512.204, 439.671, - 486.98900000000003, + 486.989, 599.448, 365.298, 675.995, 413.151, 345.936, - 211.65400000000002, + 211.654, 126.86, 178.82, - 264.92400000000004, + 264.924, 220.088, 77.218, - 229.86599999999999, + 229.866, 212.799, 91.516, 559.826, 278.055, - 236.37900000000002, + 236.379, 531.01, - 550.5880000000001, - 142.67700000000002, + 550.588, + 142.677, 84.177, - 425.80800000000005, + 425.808, 577.636, 580.702, - 332.50300000000004, + 332.503, 583.763, - 570.4069999999999, + 570.407, 544.488, 543.893, 545.66, - 197.69799999999998, - 430.37199999999996, + 197.698, + 430.372, 342.06, 503.715, - 335.82300000000004, + 335.823, 348.292, 312.86, 315.59, - 134.17700000000002, + 134.177, 205.422, 473.782, 479.629, 18.586, 138.95, 44.065, - 286.07599999999996, + 286.076, 259.452, 399.79, 346.459, @@ -81897,24 +81759,24 @@ 122.979, 323.777, 36.71, - 442.48900000000003, + 442.489, 448.931, 311.059, 438.366, 432.035, 302.988, 232.294, - 257.16200000000003, + 257.162, 425.555, 420.82, 421.519, - 416.61400000000003, + 416.614, 416.075, 216.835, 302.361, - 335.23900000000003, - 406.51199999999994, - 307.29900000000004, + 335.239, + 406.512, + 307.299, 233.533, 277.9, 292.275, @@ -81922,27 +81784,27 @@ 106.76, 129.877, 221.459, - 201.74400000000003, + 201.744, 72.45, - 109.47399999999999, + 109.474, 135.762, - 159.17700000000002, + 159.177, 244.885, - 173.49599999999998, - 232.12900000000002, + 173.496, + 232.129, 263.961, 290.166, - 189.97400000000002, + 189.974, 79.574, 141.356, - 26.398000000000003, + 26.398, 207.833, - 18.944000000000003, + 18.944, 152.334, - 183.84099999999998, + 183.841, 157.734, - 163.96099999999998, - 165.94299999999998, + 163.961, + 165.943, 106.529, 151.018, 199.84, @@ -81956,30 +81818,30 @@ 72.671, 73.436, 64.952, - 62.413999999999994, + 62.414, 38.912, 38.427, 39.633, 40.272, - 40.056999999999995, + 40.057, 38.235, - 28.131999999999998, + 28.132, 34.194, 20.788, 13.835, 26.381, - 7.6739999999999995, + 7.674, 11.627, 9.161, 20.849, - 6.457000000000001, + 6.457, 0.446, 5.566, - 14.479000000000001, - 9.908999999999999, + 14.479, + 9.909, 15.453, 10.058, - 5.4110000000000005, + 5.411, 0.379, 5.502000000000001, 10.625, @@ -81987,12 +81849,12 @@ 6.155, 8.23, 7.388, - 5.0760000000000005, + 5.076, 5.874, - 2.8510000000000004, - 1.7009999999999998, + 2.851, + 1.701, 1.69, - 2.9389999999999996, + 2.939, 3.028, 0.847, 0.589, @@ -82779,7 +82641,7 @@ null, null, null, - -1.2229999999999999, + -1.223, 0.919, -2.45, 0.479, @@ -82789,33 +82651,33 @@ 6.76, 9.067, 10.526, - 13.597999999999999, + 13.598, 17.039, 17.413, 15.8, 23.276, 16.108, 19.67, - 26.673000000000002, - 12.595999999999998, + 26.673, + 12.596, 32.338, - 37.611999999999995, + 37.612, 23.717, - 24.543000000000003, + 24.543, 38.774, - 33.400999999999996, + 33.401, 36.897, 50.968, 76.563, 90.266, 101.089, 64.737, - 61.428999999999995, + 61.429, 97.274, - 126.50200000000001, + 126.502, 101.37, 131.661, - 110.48700000000001, + 110.487, 110.851, 137.232, 130.494, @@ -82826,20 +82688,20 @@ 94.318, 172.984, 114.6, - 167.63299999999998, + 167.633, 26.767, 210.157, - 180.46599999999998, + 180.466, 221.255, 153.991, 154.673, 233.863, 184.623, - 163.64700000000002, + 163.647, 191.356, - 218.21099999999998, + 218.211, 157.52, - 184.18200000000002, + 184.182, 277.069, 117.545, 284.347, @@ -82851,45 +82713,45 @@ 186.269, 268.866, 150.599, - 250.84099999999998, - 340.93699999999995, - 111.68700000000001, - 233.24599999999998, - 329.18300000000005, + 250.841, + 340.937, + 111.687, + 233.246, + 329.183, 90.822, 287.111, 247.852, 296.476, 377.273, 377.691, - 387.80400000000003, + 387.804, 267.693, 328.407, 275.214, 305.879, 320.072, 347.131, - 311.64799999999997, + 311.648, 317.605, 430.267, 327.036, 344.527, - 387.94800000000004, + 387.948, 334.589, 322.78, 197.946, 272.841, 374.272, - 348.51199999999994, + 348.512, 393.519, 358.708, - 362.24300000000005, + 362.243, 282.288, 225.935, 461.588, - 395.51199999999994, + 395.512, 351.37, - 374.86699999999996, + 374.867, 456.379, 256.176, 517.065, @@ -82901,8 +82763,8 @@ 540.122, 539.814, 545.501, - 414.02099999999996, - 43.916000000000004, + 414.021, + 43.916, 28.16, 19.324, 469.339, @@ -82912,39 +82774,39 @@ 503.566, 583.565, 586.477, - 592.8580000000001, + 592.858, 596.8, 277.862, 576.716, 447.103, - 229.72799999999998, + 229.728, 586.224, 620.264, 625.587, 101.139, 453.792, - 505.76300000000003, - 439.31800000000004, - 367.74800000000005, + 505.763, + 439.318, + 367.748, 639.158, 644.377, - 644.4209999999999, + 644.421, 653.186, 659.115, 659.291, 626.154, 0.523, 224.454, - 453.31800000000004, + 453.318, 580.151, 604.981, 460.283, 438.096, 159.116, 692.186, - 475.10900000000004, + 475.109, 701.485, - 704.6010000000001, + 704.601, 460.25, 0.545, 129.013, @@ -82952,19 +82814,19 @@ 329.04, 208.373, 538.823, - 709.0160000000001, + 709.016, 571.761, 438.559, 741.944, - 741.5139999999999, + 741.514, 744.944, 744.168, 500.505, - 336.64300000000003, + 336.643, 371.861, 754.837, - 755.8889999999999, - 234.91400000000002, + 755.889, + 234.914, 719.796, 298.507, 770.841, @@ -82973,8 +82835,8 @@ 633.064, 666.08, 547.873, - 464.31800000000004, - 579.3969999999999, + 464.318, + 579.397, 736.488, 318.574, 651.231, @@ -82985,18 +82847,18 @@ 648.451, 735.86, 664.169, - 711.0360000000001, + 711.036, 729.925, 476.436, 352.586, 644.724, 625.967, - 160.21200000000002, - 462.12199999999996, + 160.212, + 462.122, 507.976, 387.111, 204.2, - 379.35900000000004, + 379.359, 699.668, 708.284, 490.705, @@ -83004,19 +82866,19 @@ 795.054, 521.668, 386.445, - 689.1360000000001, + 689.136, 676.732, 136.17, - 269.85200000000003, + 269.852, 698.765, 357.431, - 680.1619999999999, + 680.162, 574.035, 116.235, 436.94, - 639.9069999999999, + 639.907, 215.271, - 124.21799999999999, + 124.218, 226.243, 350.329, 463.74, @@ -83026,16 +82888,16 @@ 447.918, 633.548, 458.389, - 489.68699999999995, - 629.5459999999999, - 359.47900000000004, + 489.687, + 629.546, + 359.479, 604.034, 767.924, 547.163, 730.57, - 21.019000000000002, - 491.05800000000005, - 209.47400000000002, + 21.019, + 491.058, + 209.474, 468.106, 481.225, 524.492, @@ -83050,15 +82912,15 @@ 410.041, 621.447, 54.2, - 284.76599999999996, + 284.766, 133.048, 749.596, 796.227, 417.765, 606.737, - 422.86300000000006, + 422.863, 389.214, - 93.87200000000001, + 93.872, 503.087, 3.094, 478.093, @@ -83068,10 +82930,10 @@ 701.204, 716.834, 593.689, - 667.9839999999999, + 667.984, 765.694, 670.247, - 527.7180000000001, + 527.718, 679.931, 764.466, 706.467, @@ -83081,16 +82943,16 @@ 560.002, 730.779, 514.555, - 613.4540000000001, - 329.11699999999996, + 613.454, + 329.117, 243.106, 591.404, 348.76, 248.584, - 715.8760000000001, + 715.876, 734.539, - 729.8810000000001, - 790.2860000000001, + 729.881, + 790.286, 190.546, 783.807, 384.798, @@ -83101,8 +82963,8 @@ 638.118, 567.153, 284.909, - 718.8710000000001, - 217.91400000000002, + 718.871, + 217.914, 642.109, 558.069, 605.306, @@ -83113,47 +82975,47 @@ 496.338, 470.402, 318.651, - 447.19599999999997, + 447.196, 416.955, 216.29, 627.823, - 469.98900000000003, + 469.989, 465.606, 506.853, 70.788, - 356.39099999999996, + 356.391, 756.742, 644.179, - 92.47399999999999, + 92.474, 102.014, 504.75, 157.778, 731.698, - 790.0060000000001, + 790.006, 768.27, 352.619, 134.16, - 774.5139999999999, + 774.514, 780.465, 569.763, 773.721, - 674.1560000000001, + 674.156, 272.868, - 780.2339999999999, + 780.234, 379.656, 779.931, 776.903, - 776.0880000000001, + 776.088, 494.499, 0.363, - 111.75299999999999, + 111.753, 765.253, - 534.6709999999999, - 560.0840000000001, + 534.671, + 560.084, 501.254, - 438.92199999999997, - 284.47900000000004, - 745.3960000000001, + 438.922, + 284.479, + 745.396, 737.303, 468.216, 719.096, @@ -83163,18 +83025,18 @@ 717.318, 714.549, 503.77, - 705.5260000000001, + 705.526, 639.367, - 228.89700000000002, + 228.897, 682.717, - 670.4889999999999, + 670.489, 413.283, 676.408, 671.805, 668.788, 661.62, 161.671, - 435.06800000000004, + 435.068, 422.009, 620.946, 601.793, @@ -83186,16 +83048,16 @@ 624.288, 269.295, 457.205, - 531.6990000000001, + 531.699, 421.101, - 455.82300000000004, - 494.14599999999996, + 455.823, + 494.146, 562.683, - 369.69699999999995, - 460.20599999999996, + 369.697, + 460.206, 5.428, 47.214, - 555.2669999999999, + 555.267, 483.389, 175.412, 360.575, @@ -83205,36 +83067,36 @@ 567.318, 569.686, 555.509, - 529.5740000000001, - 443.60699999999997, + 529.574, + 443.607, 513.399, - 454.60699999999997, + 454.607, 538.911, 398.848, 338.036, 535.613, 549.332, 540.821, - 108.85799999999999, + 108.858, 220.551, - 533.9830000000001, + 533.983, 218.101, 530.548, - 504.12800000000004, - 471.94300000000004, + 504.128, + 471.943, 307.712, 259.606, 427.713, 282.073, 468.244, - 468.18300000000005, + 468.183, 266.46, 444.477, - 401.57300000000004, - 350.48900000000003, + 401.573, + 350.489, 229.459, 141.884, - 306.39599999999996, + 306.396, 277.251, 251.766, 210.267, @@ -83248,26 +83110,26 @@ 220.033, 157.178, 222.604, - 236.21400000000003, + 236.214, 121.779, - 195.25900000000001, + 195.259, 140.855, - 131.85399999999998, + 131.854, 234.105, - 233.31799999999998, + 233.318, 198.48, 105.736, 140.921, 0.363, 109.094, - 85.32799999999999, + 85.328, 244.648, - 178.15900000000002, - 226.07299999999998, + 178.159, + 226.073, 215.012, - 96.48700000000001, + 96.487, 136.467, - 179.21599999999998, + 179.216, 179.695, 171.856, 137.904, @@ -83278,7 +83140,7 @@ 163.179, 98.221, 115.156, - 44.873999999999995, + 44.874, 127.736, 122.219, 88.796, @@ -83286,22 +83148,22 @@ 43.619, 69.268, 41.918, - 45.038999999999994, + 45.039, 57.878, - 54.211000000000006, + 54.211, 52.218, 50.187, 39.231, - 49.06399999999999, + 49.064, 40.376, - 7.9270000000000005, + 7.927, 26.128, 33.048, 34.653000000000006, 36.258, 15.8, - 26.304000000000002, - 23.820999999999998, + 26.304, + 23.821, 32.564, 29.47, 25.82, @@ -83310,10 +83172,10 @@ 14.082, 26.712, 20.48, - 24.113000000000003, + 24.113, 13.46, 16.609, - 15.210999999999999, + 15.211, 3.363, 9.744, 10.917, @@ -83322,8 +83184,8 @@ 0.517, 9.838, 7.982, - 3.0610000000000004, - 5.577000000000001, + 3.061, + 5.577, 0.847, 4.668, -0.997, @@ -83332,7 +83194,7 @@ -4.256, 0.655, -0.342, - 0.40700000000000003, + 0.407, null, null, null, @@ -84118,7 +83980,7 @@ null, null, null, - -0.9690000000000001, + -0.969, -2.417, null, null, @@ -84126,42 +83988,42 @@ 10.636, 20.43, 21.663, - 26.458000000000002, + 26.458, 25.06, - 21.596999999999998, + 21.597, 32.861, 38.653, 32.272, 41.136, - 53.138000000000005, + 53.138, 48.519, - 49.806999999999995, + 49.807, 62.018, 35.262, 63.857, 72.005, - 65.29899999999999, - 20.192999999999998, + 65.299, + 20.193, 90.684, 98.331, - 43.553000000000004, + 43.553, 43.773, - 118.22200000000001, + 118.222, 121.135, 95.931, 80.031, 141.092, 147.445, 158.329, - 168.61900000000003, - 114.79799999999999, - 114.45700000000001, - 176.40900000000002, + 168.619, + 114.798, + 114.457, + 176.409, 78.936, 104.398, 203.842, 36.632, - 208.40599999999998, + 208.406, 117.617, 199.889, 176.959, @@ -84176,14 +84038,14 @@ 270.237, 255.515, 160.129, - 104.70700000000001, - 210.61900000000003, + 104.707, + 210.619, 268.772, - 243.19400000000002, + 243.194, 272.323, 277.091, 262.045, - 284.85400000000004, + 284.854, 262.072, 351.606, 355.945, @@ -84194,15 +84056,15 @@ 257.916, 281.231, 295.171, - 266.14099999999996, + 266.141, 269.009, 324.448, 340.921, - 342.88599999999997, - 338.87800000000004, + 342.886, + 338.878, 327.449, 258.472, - 333.79699999999997, + 333.797, 312.92, 348.033, 449.509, @@ -84211,63 +84073,63 @@ 384.43, 256.033, 316.339, - 459.83099999999996, - 247.21900000000002, + 459.831, + 247.219, 403.418, 322.032, - 219.24599999999998, + 219.246, 506.974, 248.601, 458.295, 481.022, - 182.78900000000002, + 182.789, 291.064, 315.634, - 422.31800000000004, + 422.318, 469.967, 477.63, - 397.26300000000003, + 397.263, 503.583, 495.28, - 390.24300000000005, + 390.243, 263.988, 279.772, 193.305, 270.347, - 241.71900000000002, - 317.44599999999997, + 241.719, + 317.446, 132.239, - 448.07199999999995, + 448.072, 400.401, - 5.747000000000001, + 5.747, 0.55, 290.772, - 333.36199999999997, + 333.362, 527.735, 43.129, - 0.5670000000000001, - 365.49699999999996, + 0.567, + 365.497, 116.604, - 171.34400000000002, - 183.18599999999998, + 171.344, + 183.186, 495.814, 485.035, 562.22, 384.275, - 368.99800000000005, - 477.42699999999996, + 368.998, + 477.427, 268.453, 509.385, 425.384, - 502.49800000000005, + 502.498, 554.964, 513.294, 677.36, 685.304, - 484.42900000000003, - 205.36700000000002, + 484.429, + 205.367, 439.918, - 407.76099999999997, + 407.761, 155.94, 212.375, 265.656, @@ -84275,10 +84137,10 @@ 714.345, 702.443, 717.885, - 724.1339999999999, + 724.134, 727.547, 706.307, - 539.1419999999999, + 539.142, 227.768, 250.484, 751.05, @@ -84298,15 +84160,15 @@ 181.804, 378.153, 591.482, - 541.7180000000001, - 358.95599999999996, + 541.718, + 358.956, 150.275, 757.942, 692.962, 274.316, 0.457, 204.205, - 610.2769999999999, + 610.277, 448.986, 611.918, 549.619, @@ -84314,10 +84176,10 @@ 391.256, 429.805, 453.93, - 100.25299999999999, + 100.253, 398.87, 190.613, - 0.46799999999999997, + 0.468, 105.714, 445.435, 0.473, @@ -84341,20 +84203,20 @@ 532.018, 494.895, 528.247, - 773.6439999999999, + 773.644, 621.304, 620.269, 730.977, - 755.5310000000001, + 755.531, 578.869, 491.603, 743.7, 343.772, - 716.5360000000001, - 474.29900000000004, - 604.4630000000001, - 717.0210000000001, - 383.42199999999997, + 716.536, + 474.299, + 604.463, + 717.021, + 383.422, 479.711, 609.187, 695.297, @@ -84363,7 +84225,7 @@ 535.321, 754.832, 694.801, - 638.9540000000001, + 638.954, 629.722, 639.422, 586.4, @@ -84372,25 +84234,25 @@ 665.865, 728.654, 774.525, - 428.73699999999997, + 428.737, 603.665, - 795.8910000000001, - 765.2760000000001, + 795.891, + 765.276, 644.735, 694.355, 629.992, 23.386, 175.137, - 493.60699999999997, + 493.607, 457.838, 71.382, 655.493, 562.65, 414.032, - 743.4580000000001, - 762.7819999999999, + 743.458, + 762.782, 770.941, - 87.28200000000001, + 87.282, 632.32, 531.236, 743.1, @@ -84398,10 +84260,10 @@ 502.245, 621.398, 115.954, - 568.7719999999999, + 568.772, 639.378, 149.454, - 679.2589999999999, + 679.259, 780.971, 731.544, 704.182, @@ -84412,38 +84274,38 @@ 659.423, 462.204, 758.311, - 781.6210000000001, + 781.621, 415.777, 788.079, - 372.26800000000003, - 415.51800000000003, - 547.0419999999999, + 372.268, + 415.518, + 547.042, 417.809, 635.42, 612.072, 480.108, 594.884, 512.127, - 373.13800000000003, + 373.138, 697.46, 397.918, - 697.1410000000001, - 620.7040000000001, + 697.141, + 620.704, 582.266, 688.393, 552.828, 550.274, 493.034, 145.32, - 628.9019999999999, + 628.902, 782.915, 620.418, 548.523, - 666.5419999999999, + 666.542, 683.427, 39.556, 393.915, - 581.0269999999999, + 581.027, 137.827, 377.652, 794.52, @@ -84454,130 +84316,130 @@ 598.991, 527.812, 697.24, - 637.2919999999999, + 637.292, 606.985, - 730.8610000000001, + 730.861, 108.213, 678.957, 585.448, - 46.486999999999995, + 46.487, 602.85, 396.288, 735.508, 109.045, 494.587, - 450.10900000000004, - 467.30199999999996, + 450.109, + 467.302, 797.196, 627.118, 729.931, - 22.203000000000003, - 763.2660000000001, + 22.203, + 763.266, 500.522, 638.938, - 790.8810000000001, + 790.881, 496.035, 691.883, 621.205, - 790.1489999999999, + 790.149, 796.238, 271.327, 145.391, - 689.1089999999999, + 689.109, 574.382, 779.914, 415.601, - 0.34600000000000003, + 0.346, 271.222, 555.906, 731.368, 515.711, 772.449, 769.955, - 763.7339999999999, - 667.6160000000001, + 763.734, + 667.616, 461.577, - 757.8710000000001, + 757.871, 749.673, 751.903, 633.009, - 411.36699999999996, + 411.367, 739.395, 607.948, 681.357, 727.685, 125.165, - 483.26199999999994, - 680.7289999999999, + 483.262, + 680.729, 596.139, - 725.7189999999999, + 725.719, 299.597, 172.417, - 714.8739999999999, + 714.874, 682.084, 434.44, 531.451, 0.379, 223.199, - 701.6610000000001, + 701.661, 442.566, - 399.98199999999997, + 399.982, 538.085, 558.124, 687.677, 672.135, 404.166, - 678.2739999999999, + 678.274, 674.706, - 673.2810000000001, - 650.4169999999999, + 673.281, + 650.417, 665.331, 661.317, 222.467, 316.895, - 626.7330000000001, - 411.60400000000004, - 260.29400000000004, - 426.44699999999995, + 626.733, + 411.604, + 260.294, + 426.447, 640.226, 602.988, - 626.1709999999999, + 626.171, 628.313, 627.806, 622.499, 624.283, - 466.58099999999996, + 466.581, 543.656, 163.075, 117.573, - 132.22799999999998, - 122.09299999999999, - 596.5409999999999, + 132.228, + 122.093, + 596.541, 398.199, 406.781, 25.49, 386.103, - 546.7280000000001, - 523.7819999999999, + 546.728, + 523.782, 482.871, 276.579, 354.144, 259.171, 330.014, 317.721, - 209.83700000000002, + 209.837, 0.418, 0.385, 297.527, 263.999, 334.958, 60.988, - 217.99099999999999, + 217.991, 169.868, 383.24, 293.002, 130.565, - 264.92400000000004, + 264.924, 229.673, 168.696, 271.377, @@ -84586,44 +84448,44 @@ 253.209, 256.198, 272.533, - 84.50200000000001, + 84.502, 318.541, - 240.55200000000002, - 50.648999999999994, + 240.552, + 50.649, 0.391, - 0.35200000000000004, + 0.352, 77.559, 323.782, - 365.30400000000003, + 365.304, 260.371, 338.856, 214.517, - 214.02700000000002, - 360.01300000000003, + 214.027, + 360.013, 209.155, 254.91, 392.082, 147.208, 280.405, - 303.41200000000003, - 215.43599999999998, + 303.412, + 215.436, 315.728, 346.668, 343.37, 254.805, - 172.62099999999998, + 172.621, 87.287, 244.285, 191.455, 47.093, - 126.12799999999999, + 126.128, 353.517, - 253.40099999999998, + 253.401, 335.47, - 228.69299999999998, + 228.693, 303.126, 242.33, - 185.12900000000002, + 185.129, 81.991, 332.194, 245.485, @@ -84632,15 +84494,15 @@ 48.073, 206.71, 304.849, - 224.31099999999998, - 278.41200000000003, + 224.311, + 278.412, 187.067, - 290.66200000000003, + 290.662, 260.36, 263.878, 247.968, - 213.80700000000002, - 93.59700000000001, + 213.807, + 93.597, 46.9, 74.487, 87.915, @@ -84650,38 +84512,38 @@ 44.637, 78.391, 6.909, - 68.78399999999999, + 68.784, 20.849, - 16.554000000000002, + 16.554, 39.49, 47.01, - 21.750999999999998, + 21.751, 0.418, 48.909, - 48.998000000000005, - 46.486999999999995, + 48.998, + 46.487, 39.633, 36.319, 33.654, - 16.102999999999998, + 16.103, 12.987, 31.788, - 29.386999999999997, + 29.387, 19.544, 20.188, 10.454, 16.885, 17.854, - 13.482000000000001, - 12.062000000000001, - 10.642000000000001, + 13.482, + 12.062, + 10.642, 14.237, 11.583, - 13.719000000000001, + 13.719, 17.54, 11.913, - 7.702000000000001, - 6.287000000000001, + 7.702, + 6.287, 3.11, 6.678, 6.43, @@ -84689,11 +84551,11 @@ -1.426, 4.822, 4.894, - -2.9019999999999997, + -2.902, -5.131, - -0.7490000000000001, + -0.749, -2.698, - 0.9690000000000001, + 0.969, null, null, null, @@ -85473,7 +85335,7 @@ null, null, null, - 1.6680000000000001, + 1.668, -0.21, 4.685, 3.947, @@ -85481,8 +85343,8 @@ 6.7, 7.096, 8.929, - 13.279000000000002, - 15.370999999999999, + 13.279, + 15.371, 7.454, 13.075, 17.149, @@ -85490,14 +85352,14 @@ 18.393, 28.54, 27.031, - 13.960999999999999, + 13.961, 0.693, 30.384, 32.278, 41.725, 37.833, 52.328, - 57.388000000000005, + 57.388, 58.445, 66.752, 59.067, @@ -85506,7 +85368,7 @@ 84.414, 37.376, 28.099, - 75.23100000000001, + 75.231, 14.237, 39.985, 64.952, @@ -85521,12 +85383,12 @@ 64.016, 68.712, 36.445, - 0.5670000000000001, + 0.567, 0.561, 51.75, 39.958, 74.229, - 27.703000000000003, + 27.703, 14.11, 83.081, 56.54, @@ -85535,11 +85397,11 @@ 68.046, 85.427, 65.514, - 65.92699999999999, + 65.927, 98.766, 101.425, 95.001, - 100.07600000000001, + 100.076, 149.129, 91.538, 159.755, @@ -85552,28 +85414,28 @@ 164.088, 155.477, 154.183, - 160.65200000000002, + 160.652, 166.708, 130.907, 203.545, 192.495, - 235.44799999999998, - 206.84799999999998, + 235.448, + 206.848, 166.928, 153.082, 160.118, 153.275, - 168.65200000000002, + 168.652, 130.472, - 226.99200000000002, + 226.992, 130.07, 138.493, 197.296, 174.95, - 56.748999999999995, - 158.52700000000002, + 56.749, + 158.527, 20.76, - 164.75400000000002, + 164.754, 46.228, 116.995, 147.004, @@ -85581,35 +85443,35 @@ 175.203, 113.609, 120.49, - 85.81200000000001, + 85.812, 15.2, 139.22, - 172.78599999999997, + 172.786, 239.115, 225.093, - 287.46299999999997, + 287.463, 289.561, 143.822, - 213.43200000000002, - 273.80400000000003, + 213.432, + 273.804, 275.495, 258.89, 291.934, - 283.91200000000003, + 283.912, 284.121, 28.226, 267.842, - 255.59799999999998, + 255.598, 249.322, 97.99, - 59.221000000000004, - 0.5720000000000001, + 59.221, + 0.572, 115.635, - 335.43199999999996, + 335.432, 366.218, 89.258, - 49.851000000000006, - 329.93199999999996, + 49.851, + 329.932, 357.569, 117.396, 263.774, @@ -85624,59 +85486,59 @@ 190.045, 315.337, 308.411, - 213.59799999999998, + 213.598, 0.561, - 116.31700000000001, - 355.31199999999995, - 228.99599999999998, + 116.317, + 355.312, + 228.996, 179.778, 367.214, - 388.82800000000003, + 388.828, 420.853, 396.365, 233.995, 192.451, 272.769, - 477.20599999999996, - 337.35900000000004, - 340.50199999999995, - 422.75300000000004, - 446.06800000000004, + 477.206, + 337.359, + 340.502, + 422.753, + 446.068, 355.405, 274.933, 540.887, 507.838, 518.309, 400.059, - 215.05599999999998, - 430.17400000000004, + 215.056, + 430.174, 407.668, - 428.13699999999994, - 434.73800000000006, + 428.137, + 434.738, 390.32, 346.36, 586.174, - 402.05199999999996, - 555.7959999999999, + 402.052, + 555.796, 550.549, 500.026, 590.309, 395.171, 524.509, - 511.26300000000003, + 511.263, 658.163, 434.462, 571.007, 510.806, 466.454, 228.864, - 680.1289999999999, - 684.2860000000001, - 665.6610000000001, + 680.129, + 684.286, + 665.661, 250.153, - 416.38800000000003, - 364.68699999999995, - 662.5889999999999, + 416.388, + 364.687, + 662.589, 375.296, 585.998, 309.986, @@ -85685,7 +85547,7 @@ 213.405, 551.909, 517.698, - 325.07599999999996, + 325.076, 288.306, 587.65, 549.305, @@ -85695,60 +85557,60 @@ 442.126, 473.931, 484.149, - 516.7130000000001, + 516.713, 517.197, 36.71, 19.648, 399.966, - 496.11199999999997, + 496.112, 488.657, 529.783, 388.773, 587.375, - 141.95600000000002, + 141.956, 527.905, - 669.8560000000001, - 670.4839999999999, + 669.856, + 670.484, 683.322, 184.755, 426.601, 623.424, 630.432, - 643.1990000000001, + 643.199, 639.015, 323.969, 187.375, - 26.673000000000002, + 26.673, 563.944, 154.569, - 364.36800000000005, + 364.368, 654.331, 716.487, 693.188, 689.709, - 416.17400000000004, + 416.174, 357.249, - 424.48699999999997, + 424.487, 228.225, 605.823, 532.668, 419.659, - 398.30300000000005, - 276.83799999999997, - 233.97299999999998, + 398.303, + 276.838, + 233.973, 317.258, 245.545, - 460.38199999999995, + 460.382, 183.83, 223.518, - 472.11400000000003, + 472.114, 497.851, 414.06, 536.086, 621.431, 486.086, - 552.9490000000001, - 454.94300000000004, + 552.949, + 454.943, 419.251, 371.767, 274.768, @@ -85756,8 +85618,8 @@ 631.153, 614.885, 545.181, - 198.74400000000003, - 275.02099999999996, + 198.744, + 275.021, 500.241, 568.309, 580.63, @@ -85767,9 +85629,9 @@ 520.143, 331.033, 21.779, - 396.20599999999996, + 396.206, 532.937, - 530.4209999999999, + 530.421, 298.876, 304.431, 508.202, @@ -85782,12 +85644,12 @@ 358.934, 566.091, 548.908, - 194.31799999999998, + 194.318, 530.84, - 553.0319999999999, + 553.032, 575.725, 339.649, - 175.97400000000002, + 175.974, 396.371, 575.742, 539.687, @@ -85798,59 +85660,59 @@ 54.597, 631.313, 512.314, - 450.30699999999996, + 450.307, 433.615, 440.436, 586.631, 671.789, 525.054, - 727.3710000000001, - 720.5880000000001, + 727.371, + 720.588, 550.659, 225.329, 618.095, 524.729, 731.605, 470.903, - 384.23699999999997, - 768.3919999999999, + 384.237, + 768.392, 491.542, 683.179, 570.115, - 691.8560000000001, + 691.856, 525.538, 636.015, 341.537, 48.722, 648.385, 676.27, - 288.66900000000004, + 288.669, 624.365, 131.077, 499.756, - 358.69199999999995, + 358.692, 705.03, 579.205, - 742.7810000000001, - 715.0939999999999, + 742.781, + 715.094, 690.821, 748.77, 587.182, - 554.2819999999999, + 554.282, 761.961, 776.688, 336.329, 535.855, - 504.41900000000004, + 504.419, 764.813, - 775.1080000000001, - 620.7869999999999, + 775.108, + 620.787, 533.46, - 620.0319999999999, - 442.31300000000005, + 620.032, + 442.313, 796.909, 446.712, - 626.3969999999999, + 626.397, 730.421, 626.094, 611.075, @@ -85859,45 +85721,45 @@ 635.91, 350.522, 32.9, - 480.32800000000003, + 480.328, 302.438, - 642.1419999999999, + 642.142, 624.982, - 709.2860000000001, + 709.286, 695.743, 793.27, 769.873, 506.897, 316.768, 501.81, - 718.9860000000001, + 718.986, 703.252, - 721.4639999999999, + 721.464, 713.58, 684.627, 394.95, - 376.38599999999997, + 376.386, 595.693, 302.421, 124.163, - 675.0260000000001, + 675.026, 347.389, - 402.81800000000004, + 402.818, 710.09, 781.137, - 761.1189999999999, + 761.119, 263.113, 21.366, 347.582, - 445.10400000000004, + 445.104, 795.395, 417.44, - 342.88599999999997, + 342.886, 446.288, 655.795, 16.185, 264.555, - 467.45599999999996, + 467.456, 471.139, 582.871, 580.471, @@ -85908,7 +85770,7 @@ 610.145, 629.788, 598.49, - 434.62800000000004, + 434.628, 550.78, 595.104, 664.643, @@ -85918,20 +85780,20 @@ 781.797, 587.248, 696.288, - 572.9169999999999, + 572.917, 97.742, 572.516, 480.955, - 745.9680000000001, + 745.968, 370.55, 332.53, 743.727, 575.18, 315.629, - 743.8430000000001, - 743.4580000000001, + 743.843, + 743.458, 737.066, - 700.9010000000001, + 700.901, 134.535, 405.289, 524.943, @@ -85941,7 +85803,7 @@ 708.498, 394.361, 628.781, - 412.94699999999995, + 412.947, 664.703, 584.203, 417.082, @@ -85949,17 +85811,17 @@ 477.966, 584.98, 606.55, - 695.3739999999999, + 695.374, 533.124, 585.58, 685.563, 511.78, 598.798, 544.466, - 489.31800000000004, + 489.318, 477.454, 321.652, - 495.68800000000005, + 495.688, 657.293, 507.745, 651.248, @@ -85967,15 +85829,15 @@ 319.906, 438.289, 640.865, - 396.35400000000004, - 432.32099999999997, - 348.62300000000005, - 630.6080000000001, + 396.354, + 432.321, + 348.623, + 630.608, 522.962, 0.368, 69.048, 568.139, - 461.30699999999996, + 461.307, 607.7, 196.382, 127.279, @@ -85983,9 +85845,9 @@ 597.741, 403.407, 588.404, - 583.9830000000001, + 583.983, 582.106, - 54.888000000000005, + 54.888, 455.911, 402.504, 565.375, @@ -85999,26 +85861,26 @@ 542.247, 537.76, 395.875, - 378.29699999999997, + 378.297, 525.857, 390.155, 520.099, 247.687, 356.22, 425.918, - 325.58799999999997, + 325.588, 486.334, - 352.49800000000005, + 352.498, 324.647, 482.871, - 378.88599999999997, + 378.886, 239.264, 395.082, - 319.98400000000004, + 319.984, 435.778, - 346.93800000000005, + 346.938, 454.48, - 190.72799999999998, + 190.728, 200.17, 299.316, 405.543, @@ -86038,10 +85900,10 @@ 332.585, 234.826, 339.792, - 342.19800000000004, + 342.198, 352.163, 175.638, - 146.49200000000002, + 146.492, 0.374, 252.774, 311.88, @@ -86053,14 +85915,14 @@ 288.906, 280.147, 274.531, - 251.43099999999998, + 251.431, 251.139, 267.187, - 241.15200000000002, - 60.476000000000006, + 241.152, + 60.476, 245.143, 265.166, - 273.39099999999996, + 273.391, 231.017, 261.472, 252.333, @@ -86068,26 +85930,26 @@ 124.289, 143.393, 225.952, - 217.19799999999998, + 217.198, 144.461, - 62.49100000000001, + 62.491, 118.387, 71.146, 195.925, 161.627, - 150.03799999999998, - 143.28799999999998, + 150.038, + 143.288, 137.408, 152.813, 82.167, 29.156, - 26.480999999999998, + 26.481, 24.075, 29.899, - 23.066999999999997, - 26.348000000000003, + 23.067, + 26.348, 23.073, - 25.363000000000003, + 25.363, 22.572, 23.838, 17.413, @@ -86104,21 +85966,21 @@ 6.16, 15.91, 8.913, - 11.109000000000002, + 11.109, 7.652, 8.115, 8.77, 7.718, 2.807, 9.271, - 5.422000000000001, + 5.422, 7.68, 2.174, 3.867, 5.56, - 3.1210000000000004, + 3.121, 3.661, - 0.7809999999999999, + 0.781, 3.275, 4.52, -4.977, @@ -86925,17 +86787,17 @@ -1.066, 0.616, 0.71, - 1.8219999999999998, + 1.822, 0.115, - 4.9430000000000005, + 4.943, 9.529, 2.516, 7.68, 11.489, - 12.380999999999998, + 12.381, 10.339, 11.682, - 12.265999999999998, + 12.266, 11.963, 23.1, 38.559, @@ -86950,13 +86812,13 @@ 15.91, 17.71, 18.745, - 25.633000000000003, - 23.160999999999998, + 25.633, + 23.161, 28.628, - 25.555999999999997, + 25.556, 27.725, 26.365, - 16.769000000000002, + 16.769, 40.536, 46.603, 71.465, @@ -86968,26 +86830,26 @@ 118.641, 222.703, 176.706, - 194.87400000000002, - 306.04900000000004, + 194.874, + 306.049, 194.609, - 264.48900000000003, + 264.489, 274.922, 183.687, - 132.05200000000002, + 132.052, 69.747, - 309.04400000000004, + 309.044, 177.614, 142.369, 303.203, 111.368, 370.517, 378.759, - 380.55400000000003, - 349.76800000000003, - 35.669000000000004, + 380.554, + 349.768, + 35.669, 192.523, - 241.28400000000002, + 241.284, 250.847, 312.904, 285.388, @@ -86995,8 +86857,8 @@ 309.639, 320.897, 348.601, - 342.19800000000004, - 251.87599999999998, + 342.198, + 251.876, 211.291, 438.135, 208.912, @@ -87006,12 +86868,12 @@ 342.969, 377.829, 352.041, - 286.45599999999996, + 286.456, 434.27, 250.957, 0.611, 38.543, - 239.80900000000003, + 239.809, 308.83, 498.584, 304.893, @@ -87021,30 +86883,30 @@ 413.856, 373.843, 528.55, - 185.03599999999997, + 185.036, 495.936, - 563.6080000000001, - 400.08099999999996, - 582.8330000000001, - 591.8340000000001, + 563.608, + 400.081, + 582.833, + 591.834, 594.405, 485.954, 270.308, - 80.84100000000001, + 80.841, 121.63, 264.39, - 243.05700000000002, + 243.057, 146.096, - 122.73700000000001, + 122.737, 0.556, 231.325, 473.408, 400.847, 181.055, - 432.06800000000004, + 432.068, 586.56, 37.354, - 170.99099999999999, + 170.991, 423.033, 0.556, 281.303, @@ -87055,21 +86917,21 @@ 363.256, 283.676, 9.436, - 432.49199999999996, - 461.31199999999995, + 432.492, + 461.312, 478.869, 400.324, 87.414, 428.963, 745.825, 92.98, - 472.89599999999996, + 472.896, 694.586, - 748.2310000000001, + 748.231, 713.09, 437.523, 764.94, - 332.49199999999996, + 332.492, 277.565, 489.478, 670.676, @@ -87078,67 +86940,67 @@ 604.425, 459.595, 242.446, - 294.92900000000003, - 506.91900000000004, + 294.929, + 506.919, 735.304, 743.893, 734.935, - 429.07300000000004, + 429.073, 686.868, 449.244, - 496.35400000000004, - 749.7230000000001, + 496.354, + 749.723, 343.789, 637.33, - 694.1289999999999, - 493.32099999999997, + 694.129, + 493.321, 542.346, 652.674, 297.01, - 779.3910000000001, + 779.391, 522.323, 777.525, 710.893, - 701.8639999999999, + 701.864, 787.699, 772.801, - 209.44099999999997, + 209.441, 441.564, 530.724, 719.74, 780.085, 366.344, - 173.46900000000002, + 173.469, 117.848, 392.154, 244.229, 139.776, 302.818, - 287.27099999999996, + 287.271, 276.992, - 487.24300000000005, - 345.82599999999996, + 487.243, + 345.826, 189.864, 171.68, 183.274, - 669.6360000000001, + 669.636, 481.616, - 322.54900000000004, + 322.549, 327.664, - 342.63800000000003, + 342.638, 760.75, 727.63, - 464.26300000000003, - 342.20300000000003, + 464.263, + 342.203, 469.301, - 245.28599999999997, - 337.93699999999995, + 245.286, + 337.937, 754.166, 549.674, 462.309, 472.444, - 365.13300000000004, - 252.72400000000002, + 365.133, + 252.724, 225.263, 274.349, 214.858, @@ -87148,7 +87010,7 @@ 246.69, 255.95, 316.405, - 217.97400000000002, + 217.974, 263.416, 152.29, 255.928, @@ -87156,36 +87018,36 @@ 163.333, 117.617, 149.746, - 111.03200000000001, + 111.032, 202.097, - 197.97299999999998, + 197.973, 152.84, 186.252, 199.74, 134.722, 194.565, - 197.71400000000003, + 197.714, 204.145, - 195.78799999999998, + 195.788, 191.268, 199.79, 204.172, 111.979, 156.143, 207.261, - 120.42399999999999, - 127.74700000000001, + 120.424, + 127.747, 205.235, 142.116, - 159.92600000000002, - 170.49599999999998, + 159.926, + 170.496, 145.232, - 234.61700000000002, + 234.617, 157.013, - 87.98100000000001, + 87.981, 201.458, 244.984, - 259.36400000000003, + 259.364, 293.249, 194.967, 315.832, @@ -87195,22 +87057,22 @@ 355.218, 116.609, 325.687, - 391.05300000000005, + 391.053, 342.644, 341.185, - 382.06199999999995, + 382.062, 395.914, 280.323, 396.519, 245.22, - 386.54900000000004, - 331.86400000000003, + 386.549, + 331.864, 300.291, 268.828, - 168.97099999999998, - 329.06199999999995, - 173.19299999999998, - 347.25699999999995, + 168.971, + 329.062, + 173.193, + 347.257, 271.795, 333.004, 252.493, @@ -87219,22 +87081,22 @@ 160.316, 293.404, 205.295, - 326.46299999999997, + 326.463, 194.455, 105.819, 100.286, 121.19, - 255.24599999999998, + 255.246, 334.584, - 245.40200000000002, + 245.402, 187.051, 189.291, 245.171, 324.531, 334.523, 337.414, - 341.14099999999996, - 343.18300000000005, + 341.141, + 343.183, 151.491, 209.551, 358.461, @@ -87243,42 +87105,42 @@ 352.994, 347.092, 347.852, - 381.25300000000004, + 381.253, 379.249, - 362.12199999999996, - 347.89599999999996, - 364.63800000000003, + 362.122, + 347.896, + 364.638, 92.385, 372.037, 303.159, 173.838, 165.359, 353.577, - 177.22299999999998, + 177.223, 79.707, - 370.62199999999996, - 373.56199999999995, - 228.53900000000002, - 390.36400000000003, + 370.622, + 373.562, + 228.539, + 390.364, 203.385, 238.851, 340.486, 461.461, 0.506, 279.926, - 456.67699999999996, + 456.677, 268.42, 415.26, 514.406, 251.998, - 612.8919999999999, + 612.892, 648.126, 632.04, 379.249, 64.815, - 40.931999999999995, + 40.932, 614.643, - 382.27099999999996, + 382.271, 2.648, 72.318, 694.702, @@ -87286,35 +87148,35 @@ 221.597, 637.259, 663.564, - 705.6410000000001, + 705.641, 522.433, 706.819, 620.214, 754.815, - 580.4209999999999, - 735.2819999999999, + 580.421, + 735.282, 571.739, - 87.87700000000001, - 411.31800000000004, + 87.877, + 411.318, 659.908, - 368.30400000000003, + 368.304, 375.351, 647.422, 673.181, 627.09, 657.172, - 451.85400000000004, + 451.854, 412.601, 734.682, - 630.8009999999999, + 630.801, 432.651, 561.719, - 512.3530000000001, - 656.2139999999999, - 750.0419999999999, + 512.353, + 656.214, + 750.042, 468.59, 485.894, - 544.3330000000001, + 544.333, 499.2, 517.511, 351.832, @@ -87325,18 +87187,18 @@ 456.291, 565.826, 561.78, - 438.87800000000004, + 438.878, 529.81, 657.832, 597.681, 619.245, - 585.5740000000001, - 610.2330000000001, + 585.574, + 610.233, 705.977, 628.797, - 513.3330000000001, + 513.333, 615.568, - 728.7689999999999, + 728.769, 773.181, 676.209, 715.171, @@ -87347,67 +87209,67 @@ 583.339, 644.482, 771.992, - 508.37199999999996, + 508.372, 454.59, 613.387, 480.009, 601.556, - 120.23200000000001, + 120.232, 45.21, 588.388, 566.977, - 792.8960000000001, + 792.896, 403.875, 785.888, 776.655, - 770.1419999999999, + 770.142, 767.747, - 766.3710000000001, - 762.9739999999999, - 764.6039999999999, - 760.6619999999999, - 754.8810000000001, + 766.371, + 762.974, + 764.604, + 760.662, + 754.881, 753.956, - 749.6460000000001, + 749.646, 738.365, - 739.2239999999999, - 744.2560000000001, - 574.4590000000001, + 739.224, + 744.256, + 574.459, 474.712, 323.199, 507.332, - 410.32099999999997, + 410.321, 560.607, 507.959, 705.817, - 680.2669999999999, + 680.267, 530.851, 415.689, 521.86, 554.612, 577.118, - 426.79900000000004, + 426.799, 390.1, 444.961, 480.119, 570.082, - 601.2919999999999, - 681.5939999999999, - 680.2560000000001, - 700.2510000000001, + 601.292, + 681.594, + 680.256, + 700.251, 688.784, 685.684, 689.466, - 697.0139999999999, + 697.014, 678.813, 659.842, - 666.8610000000001, + 666.861, 622.268, 366.284, - 573.1709999999999, + 573.171, 577.112, 590.391, - 582.3430000000001, + 582.343, 558.493, 559.242, 282.018, @@ -87415,10 +87277,10 @@ 108.109, 97.17, 99.559, - 103.45100000000001, + 103.451, 109.221, 118.74, - 122.68700000000001, + 122.687, 130.934, 137.656, 144.395, @@ -87431,7 +87293,7 @@ 150.44, 160.151, 157.327, - 179.84400000000002, + 179.844, 197.891, 182.019, 173.672, @@ -87439,15 +87301,15 @@ 175.01, 191.945, 225.44, - 235.12400000000002, + 235.124, 214.93, 195.452, 258.945, - 214.75400000000002, + 214.754, 235.377, 216.697, 262.265, - 260.66900000000004, + 260.669, 309.672, 267.837, 229.062, @@ -87469,10 +87331,10 @@ 349.514, 329.546, 343.403, - 325.79200000000003, + 325.792, 307.327, - 334.68300000000005, - 331.62199999999996, + 334.683, + 331.622, 327.074, 319.642, 315.546, @@ -87482,7 +87344,7 @@ 300.819, 294.802, 291.185, - 287.28700000000003, + 287.287, 284.573, 282.497, 279.007, @@ -87490,7 +87352,7 @@ 273.887, 227.834, 164.011, - 93.78399999999999, + 93.784, 80.863, 79.013, 78.016, @@ -87498,7 +87360,7 @@ 75.792, 70.259, 67.551, - 63.696999999999996, + 63.697, 62.453, 61.787, 64.655, @@ -87507,21 +87369,21 @@ 66.565, 69.164, 69.786, - 69.51100000000001, + 69.511, 66.384, - 66.21300000000001, + 66.213, 65.756, 65.304, 67.028, 67.529, 64.578, - 61.016000000000005, - 58.538000000000004, - 58.373000000000005, + 61.016, + 58.538, + 58.373, 55.989, - 53.913999999999994, + 53.914, 54.927, - 55.00899999999999, + 55.009, 55.235, 53.363, 49.113, @@ -87530,20 +87392,20 @@ 38.295, 34.755, 30.45, - 27.499000000000002, + 27.499, 24.57, 23.546, 20.854, 19.984, 17.419, 15.046, - 13.520999999999999, + 13.521, 12.227, 10.333, - 7.542000000000001, + 7.542, 5.989, - 3.7489999999999997, - 0.9470000000000001, + 3.749, + 0.947, -0.848, null, null, @@ -88314,63 +88176,63 @@ 3.072, 3.963, 5.263, - 6.122000000000001, + 6.122, 7.685, 9.425, 11.253, 12.475, - 14.610999999999999, - 17.022000000000002, + 14.611, + 17.022, 18.718, - 21.278000000000002, + 21.278, 23.199, - 25.555999999999997, + 25.556, 26.959, 29.112, 31.011, 33.604, - 35.861999999999995, + 35.862, 37.926, 40.448, 42.782, 45.573, 55.153, 69.654, - 81.36399999999999, + 81.364, 87.095, - 54.211000000000006, - 99.48200000000001, - 100.42299999999999, + 54.211, + 99.482, + 100.423, 99.24, - 103.51700000000001, + 103.517, 110.74, 115.26, - 118.40899999999999, + 118.409, 121.184, - 127.52600000000001, + 127.526, 133.351, 138.135, 142.82, - 146.86700000000002, + 146.867, 151.244, 157.178, 163.488, 169.808, 173.16, - 180.62599999999998, - 187.05599999999998, + 180.626, + 187.056, 193.31, 193.095, 199.796, 206.418, - 210.12400000000002, - 215.72299999999998, - 217.09900000000002, + 210.124, + 215.723, + 217.099, 225.489, 228.864, 235.481, 240.778, - 246.00799999999998, + 246.008, 247.39, 254.128, 259.055, @@ -88382,7 +88244,7 @@ 287.827, 295.215, 299.856, - 302.23400000000004, + 302.234, 309.892, 314.621, 317.44, @@ -88390,35 +88252,35 @@ 330.642, 331.875, 339.731, - 342.62699999999995, + 342.627, 346.481, - 350.74199999999996, + 350.742, 356.782, 364.467, 369.158, 371.195, 377.24, - 379.06699999999995, + 379.067, 384.787, - 390.55699999999996, + 390.557, 394.394, 399.459, - 399.87800000000004, + 399.878, 410.041, 415.084, 417.154, 421.751, 426.909, - 432.32599999999996, - 436.07599999999996, + 432.326, + 436.076, 439.94, 446.211, - 451.93699999999995, + 451.937, 456.407, 461.61, - 463.66900000000004, - 468.61199999999997, - 471.70599999999996, + 463.669, + 468.612, + 471.706, 478.296, 480.086, 481.941, @@ -88428,7 +88290,7 @@ 504.92, 510.327, 512.226, - 518.3430000000001, + 518.343, 519.24, 519.95, 524.58, @@ -88448,17 +88310,17 @@ 579.172, 585.007, 588.85, - 592.2909999999999, + 592.291, 592.484, 599.475, 602.933, - 607.5409999999999, + 607.541, 611.576, 615.832, 614.643, 623.391, 624.674, - 629.8430000000001, + 629.843, 631.236, 637.975, 640.595, @@ -88473,9 +88335,9 @@ 669.058, 667.434, 668.821, - 675.0039999999999, + 675.004, 678.252, - 681.1419999999999, + 681.142, 684.534, 688.674, 696.695, @@ -88486,33 +88348,33 @@ 707.293, 708.262, 715.21, - 718.7719999999999, + 718.772, 718.799, - 722.6310000000001, - 725.9010000000001, + 722.631, + 725.901, 723.291, - 729.0060000000001, + 729.006, 734.077, 735.04, - 736.5319999999999, + 736.532, 745.318, 741.426, 738.029, 755.674, 753.345, - 754.8480000000001, + 754.848, 755.977, 760.513, 759.913, - 760.2330000000001, + 760.233, 764.301, - 764.6310000000001, + 764.631, 772.047, 774.007, 775.565, - 775.8510000000001, + 775.851, 779.59, - 781.5110000000001, + 781.511, 784.148, 788.178, 791.558, @@ -88520,24 +88382,24 @@ 794.3, 796.497, 798.418, - 799.8660000000001, + 799.866, 786.967, - 782.7439999999999, - 733.3660000000001, + 782.744, + 733.366, 790.253, 783.405, - 773.6110000000001, - 741.7289999999999, - 730.6360000000001, - 744.2610000000001, + 773.611, + 741.729, + 730.636, + 744.261, 735.436, 725.538, 714.428, 706.302, 687.826, - 671.3539999999999, + 671.354, 649.106, - 628.4169999999999, + 628.417, 630.014, 630.129, 608.818, @@ -88547,19 +88409,19 @@ 616.003, 620.891, 620.082, - 615.8919999999999, + 615.892, 584.633, 586.362, - 572.5930000000001, + 572.593, 555.085, 545.561, 554.111, - 573.8480000000001, + 573.848, 594.306, 596.937, 597.169, 593.364, - 613.4590000000001, + 613.459, 608.592, 602.993, 615.16, @@ -88579,7 +88441,7 @@ 581.831, 576.033, 574.2, - 517.9630000000001, + 517.963, 499.189, 507.425, 484.209, @@ -88589,24 +88451,24 @@ 497.119, 514.406, 498.055, - 466.17400000000004, - 441.87300000000005, - 432.73400000000004, + 466.174, + 441.873, + 432.734, 410.426, 409.655, - 407.05699999999996, + 407.057, 409.782, 400.412, 421.712, 450.23, - 458.48800000000006, + 458.488, 452.316, 439.483, - 446.18300000000005, + 446.183, 440.832, 451.667, 448.776, - 456.10400000000004, + 456.104, 465.205, 476.05, 477.019, @@ -88615,24 +88477,24 @@ 458.708, 453.186, 466.796, - 453.57199999999995, - 447.69699999999995, + 453.572, + 447.697, 411.048, 394.009, 409.496, 425.461, 440.15, - 440.88199999999995, - 453.64300000000003, + 440.882, + 453.643, 433.653, - 427.44300000000004, + 427.443, 428.875, 469.102, 476.369, - 451.82099999999997, + 451.821, 377.685, 329.045, - 299.69599999999997, + 299.696, 298.232, 321.949, 320.683, @@ -88644,34 +88506,34 @@ 306.099, 281.193, 227.675, - 219.84599999999998, + 219.846, 226.425, 229.662, - 224.05200000000002, + 224.052, 212.843, 195.391, - 182.59099999999998, + 182.591, 180.169, 182.988, 189.495, - 191.52599999999998, + 191.526, 196.729, 191.488, - 191.80700000000002, + 191.807, 196.195, - 203.93599999999998, + 203.936, 198.282, - 194.52700000000002, + 194.527, 193.69, - 199.90599999999998, + 199.906, 211.456, 215.293, 216.763, - 227.60299999999998, + 227.603, 239.924, 241.956, - 234.25900000000001, - 247.00400000000002, + 234.259, + 247.004, 236.924, 238.553, 243.398, @@ -88688,27 +88550,27 @@ 127.587, 118.228, 111.5, - 110.70700000000001, + 110.707, 108.665, - 105.25200000000001, - 102.22399999999999, - 105.10799999999999, + 105.252, + 102.224, + 105.108, 105.67, - 103.63799999999999, + 103.638, 105.571, 103.941, - 101.70100000000001, + 101.701, 108.065, 113.625, 116.064, 119.257, - 118.49799999999999, + 118.498, 119.197, 120.38, - 123.67299999999999, - 123.71700000000001, + 123.673, + 123.717, 124.834, - 117.42399999999999, + 117.424, 123.227, 135.977, 153.875, @@ -88718,24 +88580,24 @@ 124.135, 121.135, 124.344, - 135.05200000000002, + 135.052, 147.357, 153.363, 137.062, - 155.14700000000002, - 169.62599999999998, - 134.41899999999998, + 155.147, + 169.626, + 134.419, 107.514, 95.38, 90.662, 87.965, - 82.26100000000001, - 79.22800000000001, + 82.261, + 79.228, 74.796, 68.294, - 62.336999999999996, - 56.25899999999999, - 50.891000000000005, + 62.337, + 56.259, + 50.891, 47.985, 46.085, 44.246, @@ -88752,25 +88614,25 @@ 30.962, 28.495, 25.6, - 23.006999999999998, + 23.007, 19.802, 17.573, 16.692, - 13.905999999999999, + 13.906, 12.618, - 12.029000000000002, - 11.324000000000002, + 12.029, + 11.324, 10.603, 9.882, - 9.193999999999999, - 9.072000000000001, + 9.194, + 9.072, 6.722, 5.307, 4.652, - 3.8480000000000003, - 2.8510000000000004, + 3.848, + 2.851, 2.741, - 2.1959999999999997, + 2.196, 0.836, -0.204, -1.294, @@ -89545,13 +89407,13 @@ null, null, -2.048, - -1.5090000000000001, + -1.509, -0.92, - -0.8320000000000001, + -0.832, -0.193, 0.765, 2.813, - 3.5180000000000002, + 3.518, 4.475, 5.555, 5.874, @@ -89573,7 +89435,7 @@ 56.347, 68.542, 82.652, - 83.73100000000001, + 83.731, 60.493, 101.486, 101.838, @@ -89581,7 +89443,7 @@ 104.921, 101.178, 98.194, - 111.62100000000001, + 111.621, 122.77, 129.563, 133.241, @@ -89589,11 +89451,11 @@ 136.858, 154.035, 165.101, - 174.74099999999999, + 174.741, 186.412, 187.205, - 189.18099999999998, - 188.72400000000002, + 189.181, + 188.724, 192.457, 189.445, 183.923, @@ -89601,29 +89463,29 @@ 179.106, 169.72, 172.313, - 178.53400000000002, + 178.534, 174.201, - 154.72299999999998, + 154.723, 169.951, 194.956, - 227.71900000000002, - 252.42700000000002, + 227.719, + 252.427, 236.054, 227.477, 251.761, 225.032, 180.747, - 181.85299999999998, + 181.853, 244.956, - 247.56599999999997, + 247.566, 253.699, 277.768, 256.677, 225.665, 242.611, - 249.05200000000002, + 249.052, 250.324, - 237.78799999999998, + 237.788, 225.61, 266.813, 308.048, @@ -89631,36 +89493,36 @@ 289.533, 316.35, 258.428, - 241.03099999999998, + 241.031, 305.703, 326.535, 343.673, 278.908, 266.185, - 254.24900000000002, + 254.249, 317.335, 293.558, - 289.78700000000003, - 238.64700000000002, + 289.787, + 238.647, 296.536, 333.059, 278.809, - 232.22799999999998, + 232.228, 266.741, 311.736, - 375.68699999999995, + 375.687, 357.844, 310.228, 368.574, - 300.10900000000004, + 300.109, 273.518, 332.96, 394.785, 392.798, - 323.80400000000003, + 323.804, 474.619, 447.351, - 481.62699999999995, + 481.627, 478.588, 516.311, 518.766, @@ -89670,10 +89532,10 @@ 524.266, 536.494, 533.758, - 526.1709999999999, + 526.171, 530.955, 526.865, - 545.9580000000001, + 545.958, 558.736, 552.085, 551.133, @@ -89681,10 +89543,10 @@ 549.635, 585.161, 601.248, - 583.4159999999999, + 583.416, 557.37, - 588.2330000000001, - 594.5369999999999, + 588.233, + 594.537, 580.14, 565.359, 612.975, @@ -89694,7 +89556,7 @@ 391.086, 400.395, 461.593, - 477.11300000000006, + 477.113, 420.666, 325.726, 419.659, @@ -89702,32 +89564,32 @@ 308.428, 557.26, 662.633, - 668.7660000000001, + 668.766, 672.163, 710.447, - 701.6439999999999, + 701.644, 708.025, 703.5, - 699.6460000000001, + 699.646, 703.015, 720.919, 720.842, - 713.2719999999999, + 713.272, 716.927, 712.919, - 715.4739999999999, + 715.474, 715.584, - 722.5319999999999, + 722.532, 730.68, - 750.1080000000001, - 687.4789999999999, - 721.7439999999999, + 750.108, + 687.479, + 721.744, 712.457, 728.202, - 727.0239999999999, - 749.1389999999999, + 727.024, + 749.139, 775.18, - 757.0060000000001, + 757.006, 771.684, 772.488, 793.485, @@ -89740,34 +89602,34 @@ 789.664, 795.175, 762.33, - 509.85900000000004, + 509.859, 753.367, 487.595, 521.519, - 797.5980000000001, + 797.598, 795.23, 584.82, 521.602, - 701.6110000000001, - 698.2919999999999, + 701.611, + 698.292, 755.96, - 753.4830000000001, + 753.483, 317.743, 684.148, 693.32, - 782.8380000000001, + 782.838, 720.451, 545.754, - 769.5310000000001, + 769.531, 523.011, 793.678, 617.654, 597.559, - 362.73800000000006, + 362.738, 797.878, 790.342, 748.567, - 767.2239999999999, + 767.224, 795.258, 701.98, 796.909, @@ -89777,25 +89639,25 @@ 699.635, 728.654, 586.571, - 794.8610000000001, + 794.861, 559.451, 632.535, - 673.1210000000001, + 673.121, 501.777, 787.908, - 544.1519999999999, + 544.152, 743.21, 539.637, 657.832, 679.628, 716.547, - 740.3969999999999, + 740.397, 556.115, 389.027, 621.354, 701.633, 693.188, - 601.1659999999999, + 601.166, 281.765, 389.379, 497.191, @@ -89804,26 +89666,26 @@ 577.993, 346.431, 630.206, - 664.8960000000001, + 664.896, 625.461, 525.246, 600.026, 436.577, - 547.5319999999999, + 547.532, 513.492, - 214.68200000000002, + 214.682, 423.71, 608.895, 371.685, 272.527, - 229.62400000000002, + 229.624, 353.176, - 501.94199999999995, + 501.942, 501.491, 399.151, 573.193, 622.378, - 634.7040000000001, + 634.704, 623.611, 607.695, 346.338, @@ -89841,60 +89703,60 @@ 516.465, 559.677, 561.697, - 388.11300000000006, + 388.113, 125.28, 104.624, 124.95, - 413.38199999999995, + 413.382, 260.784, 202.845, 211.687, 233.076, 137.998, - 250.15900000000002, - 346.54699999999997, + 250.159, + 346.547, 379.348, 368.348, 130.582, 166.114, - 110.74600000000001, + 110.746, 125.038, 131.87, 130.417, 284.358, - 177.03599999999997, + 177.036, 151.689, 163.565, - 181.03900000000002, + 181.039, 302.476, 355.031, - 420.04900000000004, + 420.049, 289.82, 120.711, 95.001, 87.656, 93.195, - 84.78299999999999, + 84.783, 86.164, - 91.64200000000001, + 91.642, 102.581, 113.339, 119.351, 133.918, - 170.30900000000003, - 143.05200000000002, + 170.309, + 143.052, 112.139, 103.264, - 103.09299999999999, + 103.093, 105.042, - 104.22200000000001, - 104.50299999999999, + 104.222, + 104.503, 100.671, - 97.40100000000001, + 97.401, 98.64, 97.456, 88.311, - 86.79799999999999, + 86.798, 87.833, 92.958, 94.411, @@ -89905,22 +89767,22 @@ 97.863, 94.45, 133.357, - 208.69799999999998, + 208.698, 224.014, 286.362, 175.054, 78.985, 70.342, - 71.34899999999999, + 71.349, 91.494, - 117.95200000000001, + 117.952, 55.615, 49.911, 48.32, 47.621, 52.24, 67.749, - 141.30100000000002, + 141.301, 150.236, 109.816, 65.932, @@ -89930,47 +89792,47 @@ 54.949, 49.003, 45.7, - 41.38399999999999, - 37.513000000000005, - 35.150999999999996, + 41.384, + 37.513, + 35.151, 30.824, 29.272, 27.482, - 26.006999999999998, + 26.007, 24.84, 23.331, 19.918, 17.066, 17.408, 19.092, - 19.054000000000002, + 19.054, 18.52, 18.503, 17.066, 15.712, - 14.154000000000002, + 14.154, 12.144, 10.284, 8.709, 8.34, 8.252, - 6.077999999999999, + 6.078, 5.114, 4.74, 4.938, 4.999, 5.362, 5.676, - 5.757999999999999, + 5.758, 5.604, 4.756, - 4.531000000000001, + 4.531, 3.248, 2.725, 1.348, - 0.08199999999999999, + 0.082, -1.663, - -1.3769999999999998, + -1.377, -1.558, null, null, @@ -91450,7 +91312,7 @@ 800, 800, 800, - 798.7539999999999, + 798.754, 800, 800, 800, @@ -91719,13 +91581,13 @@ 800, 800, 800, - 253.37900000000002, + 253.379, 800, 800, 800, 800, 800, - 253.68200000000002, + 253.682, 800, 800, 800, @@ -93131,34 +92993,7 @@ } } } - }, - "text/html": [ - "
" - ] + } }, "metadata": {}, "output_type": "display_data" @@ -93185,7 +93020,7 @@ "outputs": [ { "data": { - "image/png": "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\n", + "image/png": "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", "text/plain": [ "
" ] @@ -93225,7 +93060,7 @@ "outputs": [ { "data": { - "image/png": "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\n", + "image/png": "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", "text/plain": [ "
" ] @@ -93237,7 +93072,7 @@ "source": [ "# Calculate the degradation rate using the YoY method\n", "yoy_rd, yoy_ci, yoy_info = rdtools.degradation_year_on_year(daily, confidence_level=68.2)\n", - "# Note the default confidence_level of 68.2 is appropriate if you would like to \n", + "# Note the default confidence_level of 68.2 is appropriate if you would like to\n", "# report a confidence interval analogous to the standard deviation of a normal\n", "# distribution. The size of the confidence interval is adjustable by setting the\n", "# confidence_level variable.\n", @@ -93315,11 +93150,11 @@ "name": "stderr", "output_type": "stream", "text": [ - "/Users/mdecegli/opt/anaconda3/envs/tempY/lib/python3.10/site-packages/rdtools/soiling.py:14: UserWarning:\n", + "c:\\Users\\mspringe\\.conda\\envs\\rdtools3-nb\\lib\\site-packages\\rdtools\\soiling.py:27: UserWarning:\n", "\n", "The soiling module is currently experimental. The API, results, and default behaviors may change in future releases (including MINOR and PATCH releases) as the code matures.\n", "\n", - "/Users/mdecegli/opt/anaconda3/envs/tempY/lib/python3.10/site-packages/rdtools/soiling.py:366: UserWarning:\n", + "c:\\Users\\mspringe\\.conda\\envs\\rdtools3-nb\\lib\\site-packages\\rdtools\\soiling.py:379: UserWarning:\n", "\n", "20% or more of the daily data is assigned to invalid soiling intervals. This can be problematic with the \"half_norm_clean\" and \"random_clean\" cleaning assumptions. Consider more permissive validity criteria such as increasing \"max_relative_slope_error\" and/or \"max_negative_step\" and/or decreasing \"min_interval_length\". Alternatively, consider using method=\"perfect_clean\". For more info see https://github.com/NREL/rdtools/issues/272\n", "\n" @@ -93381,7 +93216,7 @@ "name": "stderr", "output_type": "stream", "text": [ - "/Users/mdecegli/opt/anaconda3/envs/tempY/lib/python3.10/site-packages/rdtools/plotting.py:165: UserWarning:\n", + "c:\\Users\\mspringe\\.conda\\envs\\rdtools3-nb\\lib\\site-packages\\rdtools\\plotting.py:172: UserWarning:\n", "\n", "The soiling module is currently experimental. The API, results, and default behaviors may change in future releases (including MINOR and PATCH releases) as the code matures.\n", "\n" @@ -93389,7 +93224,7 @@ }, { "data": { - "image/png": "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\n", + "image/png": "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", "text/plain": [ "
" ] @@ -93412,7 +93247,7 @@ "name": "stderr", "output_type": "stream", "text": [ - "/Users/mdecegli/opt/anaconda3/envs/tempY/lib/python3.10/site-packages/rdtools/plotting.py:225: UserWarning:\n", + "c:\\Users\\mspringe\\.conda\\envs\\rdtools3-nb\\lib\\site-packages\\rdtools\\plotting.py:232: UserWarning:\n", "\n", "The soiling module is currently experimental. The API, results, and default behaviors may change in future releases (including MINOR and PATCH releases) as the code matures.\n", "\n" @@ -93420,7 +93255,7 @@ }, { "data": { - "image/png": "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\n", + "image/png": "iVBORw0KGgoAAAANSUhEUgAAAawAAAEOCAYAAADVHCNJAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjUuMCwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy8/fFQqAAAACXBIWXMAAA9hAAAPYQGoP6dpAABt2ElEQVR4nO2dd3xUVdrHf/dOzSSTTAqEhITQOwESqnSVsiLKArK6Ik3F1bXAyuoiq5QXZHctsIooLlJUFN0gaMSliUhTSoBESkILIckkkzolmUy95/1jMpeZZNImkynJ+X4+UebeO3d+995zz3Oe5zznHIYQQkChUCgUip/D+loAhUKhUCiNgRosCoVCoQQE1GBRKBQKJSCgBotCoVAoAQE1WBQKhUIJCKjBolAoFEpAQA0WhUKhUAICarAoFAqFEhAIfS3AH+E4DkqlEnK5HAzD+FoOhUKhtFoIIdDpdIiNjQXL1u9DUYPlAqVSifj4eF/LoFAolDZDbm4u4uLi6j2GGiwXyOVyALYbGBoa6mM1FAqF0nrRarWIj4/n6936oAbLBfYwYGhoKDVYFAqF4gUa0/1Cky4oFAqFEhBQg0WhUCiUgIAaLAqFQqEEBNRgUSgUCiUg8CuDVVFRgRUrVmDKlCmIiIgAwzDYvn17o767fft2MAzj8q+wsLBlhVMoFAqlxfGrLMGSkhKsXr0anTp1wsCBA3H06NEmn2P16tXo0qWL0zaFQuEZgRQKJaDIyFMjLaccyQnhSIxT+FoOpZn4lcGKiYlBQUEBOnTogHPnzmHo0KFNPsfvfvc7DBkypAXUUSiUQCMtpxxqvRlpOeXUYLUC/CokKJFI0KFDh2afR6fTwWq1ekARhUIJZJITwqGQiZCcEO5rKRQP4FcGyxNMmDABoaGhkMlkeOihh3D9+nVfS6JQKD4iMU6BBaO6UO+qleBXIcHmIJPJMH/+fN5gpaWl4d1338U999yD8+fP1zs3oNFohNFo5D9rtVpvSKZQKBRKE2g1Bmv27NmYPXs2/3n69OmYPHkyxo4di7Vr1+Kjjz6q87vr1q3DqlWrvCGTQqFQKG7iVkiwoKDA0zpahNGjR2P48OE4fPhwvcctW7YMGo2G/8vNzfWSQgqFQqE0FrcMVnx8PCZNmoTPPvsMlZWVntbkUeLj41FWVlbvMRKJhJ/olk54S6FQKP6JWwZr9erVUCqVmDdvHqKjozFnzhzs378fHMd5Wl+zuXXrFtq1a+drGRQKhUJpJm4ZrNdeew2XLl1CWloa/vSnP+Ho0aN44IEHEBsbiyVLluDcuXOe1ulEQUEBMjMzYTab+W3FxcW1jvvhhx+QlpaGKVOmtKgeCoVCobQ8DCGENPckhBAcOXIEX3zxBXbv3g2dTodevXphzpw5mDNnDjp16tToc23cuBFqtRpKpRIffvghZsyYgcGDBwMAXnjhBYSFhWH+/PnYsWMHsrOz0blzZwBAjx49MHjwYAwZMgRhYWE4f/48tm7dipiYGJw9exbR0dGN1qDVahEWFgaNRkPDgxQKhdKCNKm+JR7CaDSSlJQUMnnyZMIwDBEKhUQkEhGBQEBmzZpFlEplo86TkJBAALj8y87OJoQQMm/ePKfPhBCyfPlyMmjQIBIWFkZEIhHp1KkTefbZZ0lhYWGTr0Wj0RAARKPRNPm7FAqFQmk8Talvm+1h/fTTT9i5cyd2794NrVaLAQMGYO7cuXj88cchFAqxbds2vPnmm0hKSmowW89foB4WhUKheIem1LdujcNKT0/Hzp078eWXX0KpVKJDhw546qmnMHfuXAwYMMDp2KVLl0IqlWLp0qXu/BSFQglw6AS0FE/hlsEaPHgwgoKCMH36dMydOxcTJ04Ey9adv9GvXz+MHDnSbZEUCiVwoRPQUjyFWwZr69atmDVrFkJCQhp1/IQJEzBhwgR3fopCoQQ4yQnhvIdFoTQHj2QJtjZoHxaFQqF4hxbvw/r000/r3c8wDKRSKeLi4pCUlASJROLOz1AoFAqFwuOWwZo/fz4YhgFgG4PliON2hmEQGhqKZcuW4ZVXXmmmVAqFQqG0ZdwyWBcvXsS8efMQGRmJP//5z+jevTsA4Pr16/jggw+gVquxceNGqFQqvP/++1i2bBnkcjmeffZZj4qnUCgUStvBrT6sBQsWoKCgAPv376+1jxCC3/3ud4iLi8OWLVvAcRzGjBkDrVaL3377zSOiWxrah0WhUCjeoSn1rVtzCe7duxcPP/ywy30Mw+Chhx7CN998Y/sBlsXMmTNx48YNd36KQqFQKBQAbhosjuOQlZVV5/7MzEynmdslEgmkUqk7P0WhUCgUCgA3DdZDDz2ETZs2YePGjTAYDPx2g8GA999/Hx999BGmTZvGb//ll1/4fi4KhUKhUNzBraSLf//737h58yZefPFFLF26FDExMQBsy36YTCYMGzYM//73vwHYjFhQUBD+8pe/eE41hUKhUNocbg8cJoRgz549OHDgAHJycgAACQkJmDx5MqZPn17vVE3+Dk26oFAoFO/QogOHq6qqsHz5ckyYMAEzZszAjBkz3BZKoVAoFEpjabIbFBQUhM2bN0OlUrWEHgqFQqFQXOJW3C45ORmXLl3ytBYKhUKhUOrELYO1YcMG7Nq1C1u2bIHFYvG0JgqFQqFQauFW0kViYiJKSkqgUqkgkUjQsWNHBAUFOZ+YYZCenu4xod6EJl1QKBSKd2jx2dojIiIQGRmJXr16uSWQQqFQKJSm4pbBOnr0qIdlUCgUCoVSP4E7WIpCoVAobQq3DZZWq8U//vEPTJ48GYMHD8aZM2cAAGVlZXj33XfpZLcUCoVC8ShuhQTz8vIwbtw45ObmokePHsjMzERFRQUAW//W5s2bkZOTw0/PRKFQKBRKc3HLYP31r3+FTqfDxYsX0b59e7Rv395p//Tp0/H99997RCCFQqFQKICbIcGDBw/ixRdfRN++fcEwTK39Xbt2RW5ubrPFUSgUCoVixy2DVVVVhXbt2tW5X6fTuS2IQqFQKBRXuGWw+vbti2PHjtW5f+/evRg8eLDboigUCoVCqYlbBmvx4sXYtWsX/vnPf0Kj0QCwrUJ848YNPPHEE/jll1+wZMkSjwqlUCgUStvG7fWw1q5di5UrV4IQAo7jwLIsCCFgWRZr1qzBq6++6mmtXoNOzUShUCjeoSn1rdsGCwDu3LmD3bt348aNG+A4Dt26dcOMGTPQtWtXd0/pF1CDRaFQKN7BawartUINFoVCoXiHFp/81pGKigqUl5fDld3r1KlTc09PoVAoFAoANw2WwWDAqlWr8Mknn6C0tLTO46xWq9vCKBQKhUJxxC2D9dxzz2HHjh2YPn06xowZg/DwcE/rolAoFArFCbcM1jfffIOnnnoKmzdv9rQeCoVCoVBc4tY4LIZhkJSU5GktFAqFQqHUiVsG6+GHH8bhw4c9rYVCoVAolDpxy2C9/vrruHXrFhYtWoS0tDQUFxejrKys1h+FQqFQKJ7CrXFYLHvXzrmard1OoGYJ0nFYFIp3ychTIy2nHMkJ4UiMU3j8eIr/0uLjsN544416DRXFhjsvlf07Gr0JmYU6TOwbjZnJ8S0r1A+gFVDL4u/3Ny2nHGq9GWk55bX01dSekafGpp9uQCETA4BfXg+lZXDLYK1cudLDMlon9b2EDX3nwGUVwoJEOHRF1WiDtTstF4euqHgj5++VlCOp6UpcU+mgVFf5hVb7vQuVCqE1WALiHtaHO2XRm4RKhTh9qxQT+0bz2+zPID1XjasFWuw4dRsv3NsdmYU6ZJdUwmjRYWhnOqSmLdHsmS4AQKPRICQkBAKBwBOnazW4egnrY3daLr45nwcAGBwfhnK9udHfBYCUtDxkl1Qis1CHHtFyv6ikNhzKwv7LKkzpF43FE3vx2zPy1EhNVwIAeneQ41K+BkYL5xONdj1bT2RDpTVgVnIcMgt1OHi5EMU6IwbEhQGovyXfnMaBO+EwR62uGjT2+1usM+JOWSVySvVQyMSYlhiDbSez/c4Aaw0W9OoQCq3Bwm+zl9+bxRXILqkEAbDp6E3IxALkqasQLBYgs9B/194LpAZjoOBW0gUAnDt3DlOmTIFMJkNkZCR+/vlnAEBJSQkefvhhHD161FMaAxZXL2F9bD91GzeKKnCzqAI/Zhajdwd5k8KB0aFSVJms0JssSE1XIjkhHAqZCMkJvmuFfvZrDq6rdPj4+C1k5Kmx4VAWpmw4hkWfnsP2U7eRmq7EoSsqyKUilFaaUKwzIiNP7XWdqelK/JRVhNPZZfhrSgYOXi6EUmNAlZnDxVw1QqX1t+22nsjG57/mYOuJ7Cb/tmPDoj4y8tTYdjIbqelK/JavgVJdhUNXVHWe89i1YvzwWwHO39GgXG9GodaAvReVSE1X8o2Fhn7LW8/CVVkNlQpxJrsUt0sqYbISmK0Ear0ZIgELIctALHCuvtzRvDstF3/67Bx2p3l+hfTmlAlf4+3n31jc8rBOnTqFe++9Fx07dsScOXOwZcsWfl9UVBQ0Gg02b96M8ePHe0pnQNJUD0ultVWQAGC2mrDrXK6TV1Ifu9NyodIaIBGx0Bos+OZ8Pnp3kGPBqC5u6/cMDDgCVJk4LN/zG0oqjCivNMNg4cAAKNIZUa43IbtEjyARi3K9CanpymZ7K+6E8lgG4KpTkO6UVUHAAgSAWMg22Oi4WVyBskoTbhZX1KvLlZ7khHB+X00cw7xagwVqvRkAEBYkxA1VBa4WaDDt/ePo1i4EC0d34c8dKhVCqamCyWq7II4AVo6AEAJNlbnBe7H1RDZ+y9cgPVeNDY+2/GKs11U6nL5VyjcM7KHA3HI9Koy25C2WARIig2C2cgiRCBEeLEbvDnIA4Pu1OAKcvlWK5yZ0b9RzP3RFhXK9uUmhd8fowLSBsXX+zm/5GtwprUReeRWw6wIWjra9i435rjdxLJuATd+lfA20Bgs+PHoTfxwW3+h6qKVxy2C99tpr6NOnD3799VfodDongwUAEyZMwI4dOzwiMFDJyFPj0BUVOGIL1WUW6hosoFaOgIGtkrRyBGYLQUaeutEvntZggUZvhokjMFlM2H7qts8TNib1bY+vzuaBA3ApXwuJkIWpOvRHAIRJhcjI00AmFkCttyCn1JbMIxML3QplpqYrcexaMXLL9QiRCHFPtygsHN3FyYiFSoXILNShWGd0+m5cuAxqvRakWpuQZUBAIBUKcPByIUKlwjrvp0jAwGjhIBK4TkbaeiIbZ2+X4ZvzYqz9/QAAcDJgdV2nvUJNSctDdKgUN4sr0K1dCMxWAgIgr9wAodaE8koTBsbfPU9moc52EdUwABRBIlQYLbBYORzJLKrXg1dpDbBYOai0hjrutHvUVdnbw9m/3CwBIUB4sBihQSIYzRwELMAwQNeoYEiEAijVlSitNMHKERy6ouLD3+V6My4rNegXG8qXnYbCchP7RuPQFRV6d5A3OlSamq7EkcwiWKwcjl8vwdNjutS6j7vTclGgqYKZA8Bx+PaiEr/eKoFEJESVyYJwmRi5ZfpGG9aWJC2nHFmFtgaDVCTAyRsl0JutsFg5hEpF2H9ZhXv7RPtFeNMtg3X27FmsW7cOEokEFRW1W5QdO3ZEYWFhs8UFMqnpSmSXVCKvXA+GYVBWaUKsIqjeh92/Yxh+vVUGEAIBy6B7++BGV9rhMhF+vlYMAgJCbC+43uT7YQU9O4QiMkSM4goTCAALx4FlbRUoiC1sKmQZVJltlb3BbMWlfA1MFg6zkuPc+s2SChMMJg56kwk/ZRUBAMr1JuSVV8FgtsJgtoIjBJVGKxgAVkIgFQmQnBCOsT2jcOK6rdI0cwSKIBHUejNuFFXgP8ez0SNa7vJ5SIQChEqFyCnV47GPf6nVt3SzuAIlOiOKtAbM33oGA+LCMCg+vMHna69Qq8xWnL1dBnWVGXnlVdCbLDBbCDgAVguHPLUB/9yfiWuFWqybORDAXW8RsHknxTojuOqywRGDU2VfsyKalRzHe3aeJC2nHNdUFdAZTHyFDdg87WKdEdUOIXTGKvSMZhEsEUImFiBWEYToUCnulFWivNLEe+fn75TjnYNZ6Bkth0prQJhUhOwSvZOnptab6/TaZybHo0e0vElZh8U6I5TqKluZZYFV313G8eslTh7uoSsqiFgWwN3GWaHWBJYxgWUAKwcES4RITVf6xADU7EM+e7sMJRUmcByHCpMVIpZBO7kEQgELmZjF8j2/wWThcPByIZY90MdnRsstgyUSicBxdXeQ5+fnIyQkxG1RrYFrKh1yy6tgtRKIhQxKKoz45nwe0nPVTgXbkZcn9UJquhK/3iqFycKBZZhG9z/dLtWDAWCxAgLGFsaSiQXYnZbbqNBYS3UQh0qFCA0SQVNlgtlq0yVgGBgsHCzVNarZShAsYcBxgM5oAccRpOeqcT6nHDtP52DlQ/0b1VoGbK32ayodjl0rAQBoqizYf6kQYACLlYBlCKwcwDIMrITYKnAARosV11Q6PJgYi0v5WlQaLQiWCGC2crByBMUVJlg4gq0nsl2GyIZ3iUBmoQ4VBgvO31GjwmhxMlgRwWIQAGYOUFeZcSlfg57RcuhNlkZ50TqD2eYdWThUmawgsBkeFncNk8HMITWjAI8NT8C0gbH49VYpVBoDjBYrjFYCo5mzeY8EqDJz4Aips6LuES3Hd+lKvH/kBnLL9B4JCWXkqZGeq0ZeuR5qvRmlFSYs+eoiSiqM0ButvLECAAELGC0EI7pG4mKuGnKpCKezSyFgWXQIk6C00gxYrCitMOHs7XJIhALIpUIo1VUQsAyOXy/BzOR4aPQm7L2oRJXJArFQ4BTitFfa9vctItiMPw7v5KTXVXkr15tgsIfuOcBstOLbi0r8lFmECb3bY0yPKEhFAggFDO6aLBv28mZ3f6+pdPjTZ+eaPXylqaHwrSey8VNmEVjWFs1Qqg2ODjlMVoKyShOkIhYqrQEsbA24O2V6LN/zG+bf0xnfpSuRU6rHyK4R6Nkh1Cvel1tJFyNGjEBKSorLfZWVldi2bRvGjRvX5PNWVFRgxYoVmDJlCiIiIsAwDLZv397o76vVaixatAjt2rVDcHAwJkyYgPPnzzdZhycwWTiESoWQilhEhkigkImhVFfhf5cKsXzPb7U6M+0FbtrAWIzoGokOYVL07xjW6AIQHSqFSMhCJGD4/8eESXHoiqpRHfpN6SBuSoes1mBBWJAIAMN7Vu1DpYgNk0IkAB9+qzBYwLIMBAwgFbHQmzkYrQQZeRqs++Eq1u67gtR0Jd9aru/388qrwDpE5owWDgazzUCarICAZWDhbMZKwNg0ma1AodaI1HQlEiKDIBIwCBILIBUJHM5jrTNEFiYTI1QqgpkjsDq6NtX3q6zSBLGAdXjh7oY+7dezOy231nUduqJCbnkVMgt0qDJZYamu8AixVX41fgoh1a12AOjWLgTRYVJEyaVQBIkgqr7/DACOI/j5WjHO31HjslJTq2GUmq7E2dvlUKqrsOVEtkeSEuxhO8BmkPLVVbhZXAlNlQXm6nC4kLX9SYQsJEKbx927gxw6gxliAYvyShPK9Wa0l0tgsdrKjoCxVfwiAQuxkAXLMLiYq0ZGnppvRBRXmFBWaXR6fltPZOOzX3JwKV+L66oKXFNV4LpK56Q3q1CHTT/dcHomJgsHidA59EsAaAwWHLhciDd/uIpTN0sBMBAKGP6eMw7HcoRApTXgbHYZfsvX1Jk805R7q67ui7O/7/UllNwsroDGYEG53oL8GsbKTpWZQ7neAoOZg97MwWIlqDJzuKLUYtPRm7iYq0GhxoB9GQU4mlXcYCKPJ3DLYK1atQrnzp3D1KlT8b///Q8AkJ6eji1btiA5ORnFxcV4/fXXm3zekpISrF69GlevXsXAgQOb9F2O4zB16lR88cUXeP755/Gvf/0LRUVFGD9+PK5fv95kLc1lVnIcBsUrMKF3NB4e1BEDOobBbOX4glrTgDhmik0bGIvxvdpj2sDYRv/ewtFdMKFXe0SEiBEqFSJcJkaWqgJFOgPOZJc2mOXWUNKAI00xbskJ4fx1c5xtZpS48CAEiYUY3Cnc1j8BwEoAkYBFlckKtd4ClkG10WFwpUBry2zLUOL7DFuLOKtQ59IIp+WUo6TCCAHLQABb5Wf/DTvW6sldGDhX+IQA2iozkhMiECQWorTCBJGARbBEAJaxeTBGi9WloQyVClGmN1b3txBEBIv549JyyqGtMsPMEYQGCaEIEqF7+2AU64zIKtRW/1+H94/cqJXBFy4T4YZKB4OFg8lqM4bWaqPFMnevS8AAUiGLskpb3+WCbWdxtUALvcmKsCAhpCIB2ocFoVNEEMQCBky1B1OkM+JWSSVS05XIyFPzjZFrKh0IIfxvpqTlNfisGyI5IRzhMhEMZiu0VWY4jmJgAIQGCdGtXQgkQhZVJg7XVZU4fr0EUpEA0aFSqPUm6E1W6E1WFGoMCBLbGhMsw0DAMiitMEJvtECtN0FTZcbWE9mY2DcaHCGQiVgIGQbRoVL+uai0BpitNq+TA1BeacKK7y5jw6EsZOSpoVRXIae0EgqZ2KmRNCs5DtFhQYgMFqFml2WVmUNZpRnFOiMqDGbIpSLbM5cJeY8LBKg0WqHSGmG0cCjQGMAR0qysPHuWZe8OcmQVahEqFTollNRsZEYEi12eRyxgIBY4vy+8wa3eyBHgTlklqoxm27sNWwTAG7gVEhw+fDh++OEHPPvss5g7dy4A4OWXXwYAdOvWDT/88AMSExObfN6YmBgUFBSgQ4cOOHfuHIYOHdro76akpODUqVP473//i1mzZgEAZs+ejZ49e2LFihX44osvmqynOfSIllcnQZhwOrsUYiGLdnIpCtRV0FSZca1Q63S8Y6ZYfZ3w9aHSGhAqFUEsZBEiEaKs0oQslc0AFemMdSZ+2D2AKrO1zqSBmr9jsZJGdcgnxikwomskTBYrckr1sHIEl/K16N4+BJoqM+IUUhRqTQgLEiI6VIKSCqOttUeA/h1DodIaUF5pgtZggUTAoKzChGCxADqDxeWg0eSEcHRrF4zbJXrIpbZEDrOVg5FwNo+KBd/HxxFbpW+fnEzAAg8PisW0gbFIzVBCyDKQigRgGEBX3d91TVXhst9Ba7AgNiwIt0v1YBngaoEO6364imUP9EFyQjh2nLqNEIkAZguHsGARVFoj771JRQJcVmpQXGGE3mRx8nbK9WaIhSzMxrv9kQwAoYCBTMTCwhGwjM1jNFo43gCXVppgMFswpHMEekbLq8dj6SERsvj94I746lwuCjW2e11lsmLXmTvYnZaHzlEyyKVilFWaIBMLYeFsoVCx0L0RMI4zt5zOLsOdMj2KdUaYrc5tegZAkEgArcFs8xyrt6v1Jvx6qxSD4hUAwwKwgiNAfEQQDBaCsgojjFYOFiuHKjOHILEQBout8lRpDZiZHI/cMj32VIcFf75WjNPZpVg6qRdmJcfhTpke+WpbOeYA6I1WfHzsFm6X6iEVCVBhtCCntBJGixVHMi18SDGzUIe0nDIYzDoYzJxTONP+TxNHkBAZhOSECBTrjPgtXwNdlRkagxkW692Gh0TI4rfqcYjuDpy/rrKNG6wwWhATFoRDV1QIl4lwuzpkVzPrs2e0HBfvlENjqM7ABCCrLp8yiQjt5RJbnyJHUGGygAEgYBiYrbZ+U3N1cRQwtus1W7kmNbDdxe2Bw/feey+ysrJw8eJFXL9+HRzHoVu3bkhOTnZ72iaJRIIOHTq49d2UlBRER0djxowZ/LZ27dph9uzZ+Pzzz2E0GiGRSNw6tzvYPaasQh3EQgHyyvUICxJCpWUQLBLiQq6mVozcXlDd6U9KyymHsbpfaGzXSASLBfjkZDYMJitYlkGh1oAjmbYEBMdzZuSpse6Hq9BU2ca3SIQND/4e3iUC+y+rMLxLRKP0ThsYi1hFED45cQsqjREmixWaKjMGxSsglwqRW2Yb1Gow21rOxRUmCKtjenKpCCUVJhACGCy2sJHeZEWwlLgcNJoYp8C0gR2h1ptxJrsUZZUaVFVnmgkZgAMDhrElpgSLWJistsqmY7gUS+7vyc8QMqJLJFRaA6JDpTh7u4zP3qwwWvkhA459DskJ4VCqqyC+VYq88iqo9SbcLCZITVdi+dS+eOHe7vjP8WxUmWyp6RKRANdUOsSEBSFcJobOYIFUyEImFjq9+BP7RuN6UYUteQcMTFbbtQzoGIqVD/UHYAvffZ+hRFmFCUaHmtNsJQiXibF8al+ngcSVJitiwqQorTDBbCUQCRjojFYAVpTd0aC9XIw+MaHo1i4Ex68XQ1D9LNwZcGyfweRSvgYVBgtM1dmNtWBsemMVUoRKRcgpqYSFEIgELCKCxWgnl2BQfBgu5JQjPFiMsT1tEYgXvrwAdaURJTojZBIhqsxWBIlYsIwthLt23xUU64wQsgz0JqttnKKRQUpaHr5cNBJag62P88Idm7dushJYOILj14shl4ogEbIQB7PILq2EVm9GoaYKi3ddwJgeUcgt06O0wgy13gSjxQqTlTh57Ez1M1g+tS+Au+/J0awinL5VBpZwALF5ljKxEM5+TdPYfuo2rhXqwLK2/vKYsCBoqswICxLhw6M3YbQSsADUejMy8tT8O/n5rzm4XVIJlmXAcQRSsQBcdQMlSCyAwWyFIkiMsCAR8tV68C+C/RoZwGLhkFNaiesqXYv3YTV7potBgwZh0KBBHpDSPC5cuICkpCSniXkBYNiwYfj4449x7do1DBgwwGt67GOweneQo9JkRbhMhHZyCaJCJDh7uxyEcFjy1UUYLRxS0/PRXi7lO17dmaHCXmECNgOx6acbEAtYGFgOAgYwmKy4U1aJI5lFTl6W3dAFVXcSR4dKG0zUCJOJMblfB4TJRACAld9dwm/5WhBCIBGy6NVBzidKAOCN8Tfn86DRmxEiFeLpMV34FHPAlnml0howuFM4TtwohtlKoFQbkBAZZAtFOHhBEhGL9nJb48OVsbR7q/YZK0QCmyGXSwSoNNla6EEiAeRBQpjMHBQyEaJDpdAaLPz5EiKD0a76N7q3D4HBzEGtN8FKgLJKE94+mOWUMWi/xt1puXjrYBYMZufKx56NZu/kV2kNsFptXsDtkkoEiVgIWBbTB9mMld04zEyO5yvVayodIsViRIdKna43MU6BYLEAey4qYeVsfQ1FOiNYhnEK8eaW6VFUPfPFdVWFLdVdZgsXFmjupvjb+5k2PDoYa/ddwTWVDnnlVdhy/Baflt/YclmsMyKvvArG6pCmvc/JNmTA9n8GgCJYjKGdIzCmRxS0BguuFWpx6lYZIoNtg4ntZdY+Lq13B9u9f/He7nj/yA0UqKtQVmlCkFgARZAQVSYORToT0nLKUFZpBiEEAsZWfliW4T1Guzc7smsE/puWZ3suhKCs0ozSSjMEDKCpMqGs0syPadt7UYnj10vwxIhOiI+Q8d5TvrqKT8YAgLAgEbq1u5t8lhinwHWVDiYLB4VMiNIKMxRBQgSJhQgLEsJksfLjytyF4wjKK01Q682ICBZDZzDzjRgOtrL7zsEs7Fg4HIlxCoRKhdh09Cb0Jgs6RchQqDWic6QMJgsHbZUFCpkAceFBUGmNCJWKUFZp4n8rXCZClygZMgsrIBKwTRrL5i4emZrJHygoKMDYsWNrbY+JiQEAKJXKOg2W0WiE0Xj3hdVqtS6PawqDzizF71X7wdwEmNjByOsyC7Enl/NtqAPaUXjO8GcAtkIkEggwPTURSOUwH0CFpAOynzjd6N9L3N4HiRY9IJQhY+BVSEUCiIUsukYF28aDWK2wcIDRbOX7fuxZRckJ4VivWYJOxiyYrgogzrSCgwCne/8NePQV4B+dAUM5IA0H/nbbeUD02U+QUvQXMELAQhj0MO3EFaXurrFd3x/Q5AJh8VjVaT4Glf4fGCPApAIQyrBtwiksPTceYmKEERJMV6SgXYgUxRVGhEgE2FX0EERiK0ycAP0tn4FlGD6ceCSzCL/eKkW/WOepkxy91XO3y/BjZjG6RNleRo4Y+b6kpZNsmW8paXmoMFow+8cxkHE69BEr8Pm4o9CbLJCJhRjfqz1entQLy/f8hkv5tnFaJTqTc2jw4/GA8gLGyvtiZ9jbsFoJdlj+ht5nbwDX4gGdCgM4EwYAyJX2xlTTKggFLCr0ZjAAvrM8i45sCUp/jcZm096749B+mI75yguYb3/Qhuq/IgAXZMDfCwDYGhHTB3WE3mTBpXwNtpj+in64BZQCWCND2oRTUMjE/KDhiGAJ9uofh4KrhM4YghGiLbbKtrrv8JpKx7fE7V6SRm/LVOy2tT/A6fjyUB/t5BJbuM50N/QkFbEY0jkC4TKb5+QqTP3Yx7/AaLZiRNkPeLloC9izHBAWj5iYufh39nqIbhqA7BmYOesT9Dq5BL2ER2AiAsgYE4oM7TA76GOYrBzMVoItxr+im+U6MpnueFT8JiQC21jAyo1jkFiSAXut8DwY9GW+4A0TYOtbVWlNTl7hBfHTUFgqgZO2zyZGghX9D8N6q5Tvn3tf8gEmWI6DyQSwEsDUd4GhT/LjJcsqzQiWCHDQMh+KykpYdAyEDAGUQFWqBD9MS2tS5T//ns7Yfuo2bhbbwpcAgdnC4RfuCcgkJuiJGP1M20Fge7b293IGAD4mVVD9/8q759UiBDOwE0KWQWiQCKHVwzxCJAKEBokgl4oQEyaFTCzw+BAIV7g9NZO/UVVV5TLkJ5VK+f11sW7dOoSFhfF/8fHNbyV0KT4MFtVOvvICIs+8zX9mAEzmTiJN9DQ4Ygtd3CjSga2O3DMA5MZCJH7S+FkqiEXP/7/XJz1x4U45Kg0WdAiTIiZMCjCAiGXQrX0IQqVCrPvhKlLTlfiuelR7J2MWGABi2PpqBLBiROZa28kN5Xf/v76/85RTv2y0XRcDCBmCbMkf8UfBYRy8XGjLTtJUZyhpcpGUtf7uPQEAix7zDw2CmBhtsXwYkap9BJP6RWNS32jEKoIgqtYjZq24In4cMokA11QVuF1SieySStwoqkBOaSWSE8JdZkX17BCKx4Z1wpT+MXj/scHo3zEMfWNCMbxLJLQGC3pEyzGpXwf0iw2DjNOBASAyqbHgzDRMGxjLTxeUGKfA/Hs6QyxkqpM1iPPAY+UFAECU7go6RcjQvX0IepMbtgiKJhfgTPyzjzdk4ktmGSqMFkiEtn6yjmwJGACRVhVmpj1xN1FGecEpy8wp48yiB1aGASvDMP/QICw+ORSvnR2J/xQ+gn645XTcvENJ6NVBjmUP9MGyB/pgUr9oKFBpK2uowEnBk4iPCEK4TASpSAixgMWmn24AAI5dK+ITBFgGkHE6p/JQH9MGxvKzhNgzQuVSEcb3ao8Njw7G8ql9XXpr0aFSmK0Ej1q+gwC2WVGgyUWycicknB4sOHCXdiMjT42+ZYchYqyQsbZ73J4UI8WwCKFSWwSgm+U6GAC9yQ3swms2b1sqhKwkA3C4nwIQZAkfQ7bkj8gSPwHgbh+NIwqmEgxz93tiYsS638bgp8rpeE/0ARaN7YpxllNOZZ3s+wt063qhdwc5rBxBXHgQxEKB7VywvTv2c0phxPTURD5JojFZuTOT4zGiuitAwDAQsQyMVg4yxgSGAWSMCZfF8xEiEaBntJx/L+sqW/a/UFTgsO5h7Nc8hI+qlmLOiATMSOoIoYBFud6MqwVaqPVmdGsX4pVJClqNwQoKCnLykuwYDAZ+f10sW7YMGo2G/8vNbX4KL9t3utNnibkcHO528DOMreBnS/6IxwWHYbBwsIJ1fjkIZ/NuGgXD/1dMjNhbMae6dWhEn5gwhIiFYACczS7Dx8duIre8CkVaA3JK9baJRat/2D5Ox36uyn/0dv4ZTS4ePvM4n4mU1+dJ/roYxvb3Orbg0dzVePOHTOfrMVXwv+Gs+u6/RZwByy/ch4Wju6B/xzBYILSNOQIgBMEZyx9gtNwdT2TlCKJDbY2S/xzPRtrtcvx97yXM23oaGXlqpznqEuMUWPZAH0wbGIt2cgkfdk1OCEevDnI4vQ6aXCQW7MaCUXfHzGkNFnRvL+fTyg9eUWHDoaxaT2J5/nN8/15N7NfSD7cgE7GQigTo3zEUVgj4e9DLegMXctX4Ll0JxA7mK3qXfT8O987+F1xtUByPZ8FhwaFBSCzYjcQ4BZZP7QuGYfnvKlCJzYa/IjkhAn1j5IhVBPHZcbeK9bapnaozOTnHp6Zp+F0JlgjuPkPB3SEf9bFwdBfMSOqI1OAZTtch0Rc5fLKNI2Octth+J4orhoWz9YEpZb357b3JDQzpHAGWYaCPSuS/Y99vL8Nixops6R9xQ/JHXBA/DSHLIFwmQrBYADWCnZ6H470fWnkEL50cBha25ATHY0KMhXjp5DBs6ZeBJ0Z2xpZ5Q3jtDOP83rHgMP/QIJR9+gTW/XC1zqzYmsRHBFUPsg6CoXrcnf38MtaEI4LnkVOqh0bcwenaa5YxV9fW3XId8w8NwmtnR+Lfoo0YkhAOActAJLCFnr0x92CrMVj2DMOa2LfFxtadwSKRSBAaGur012xmfQKzWME/eBZAuTAaBkbiVIgYBljFbsUJshCD8SXKhDXcakPDhRQA8ketcSpkCrYSh9nnMTg+zDbwj2VgtBLozbZ04UqjBVZC0DM6BEYLx6esOubLMABkhgIUy/s6VRrhmstQyMQ4dEWFHaZ7Mav9D7AQxskYP8SewlbzK7iMrs4Vbexg3IqeUutldsKiR5fPhkNnsOCFbgfAVRtyBoCQJbgq+iPiw6UQCxhEBItRrjfhhS8voFhnQKneBK46E9EelnQ0OvbPNb2nBaO6gJn6trOOfX9x+picEI748CBEyW3P0Gi2Yu/F6hT0sPi7laXuCvZfVvHX7thP7Xitj7E/olOEDCqtEdtCn3O6T4cZW8WCRUfBrNTwf1ipAfrPqnnHnHDywmqy7y+28CWAvHv+z0lXL+4GXq18i/fCelX3p8RHyADYynCl0YLd0Yudn2k9jaq0nHK0l0shlwihkIkgl4gwpHN4g3Mz2o3qmMdeRYWkw93fq44k2DU/U7IOZ4Mn8PfZkRTDIiQnhKP0jwec9v3euh/xETLcnJ4K2O8ta/PGnN5N3H2Xrosfw3nuERwVvoDnOu7GsgHHcSt6Si3d9u+w4JyjCQ774k4ux4LjE2xl0vFZMjWMJ4BxxmPYlDcTqen5SE3Px9p9V+o0CtMGxmLawI544d7uqDBawBGCN5mnnJ5xO2sxlmj/haSKdzEt8nt8M+0SX7a2T7yII13/Bm1QPH/P6zLM/csOYUPmeJw0PoJB8Qp0axfSqPGezaXVGKxBgwbh/PnztWbgOH36NGQyGXr27Ol1TZ+POwrHIhthUUEZPQHlYf2cC0K1t5VB/oAfI/9oq5Sk4bad9v83QNzE58E4FH4GQAyK8VTRm5BXh0ZE1U+bA6A32dJfWYbB0M4RyGK7333pa7T2InVXUCLv6/R7ar2JnyEhOSEcM9qlwswInYxWInMLHbkaAyKVF1A5bTN2TLwIddeH6ryeEGMhnsl6CgqZGP8YehLEwWgJQHBEPwvdo+VQyGwp2MU6A9R6Wye5hSOIChEjOSG8znBKTUMGABj6JBBWI6zhUBknxinw3ITuuKdbJEKlAgSJBUiItFXmWHLJqXKayR3En4PfdTpVTc/yZW4bwmViTOkXjSMhU6FEFO+pdmRKEBEsclk5ZYx4B9smXkTGUzm2smL/c+WNxQ6uTgd3QHkBWBODQ7KpUAX3daqQuqn2A7g7z+G0gbF4YmQCurULhkRkmyrpeqfZzkbEUA6kPFlLJ2ArG50iZOgUKcO4nu2wfGofjOwW1agZXOyZje8l7nF5HxkAAzU/Ivfe92rtZwCEm1V8yNHxOxPvbIBMLMTWE9l47ONfsHjXBWQsvGEzXlPf5RtTrirqKK4IXyinYN1vY2xjmez3Xiir+0KqGzNORt5QDqwKB2Z9AkjD7757BLBwTK1IzHk8jqsFOnxzPr/B8Y89ouWIVUgRIhHidOR0MP1nOdU1D7Gn8ChzGDeLK5wGLCcnhONOt0dx+/ETyH7iNLZPvIjfnsqBKbhjnR4+Aw4f3rwP6zPHo3fe1y2+MkRAGqyCggJkZmbCbL47WG3WrFlQqVT45ptv+G0lJSX473//i2nTpnk1pd1OckI4fun9mnOFUHQQ3w7biWUDjsNcHe4C7npbs1TrbRv+dtv2IjTQqe3ErE9sFZQDXVX7MU6biqGdI9AxXMYPdDRaCHLL9LheVIECTRW299vGf4cAyCdRTkYrlNPwlbkpuCPiI2SQS20p2Mun9sXa3w/AzonnYGQktV42pxASgMT/jsaCUV0QPvcz5wq3hsHtbMrC00VrMW1gLNiV5U5GiwWH78sexMTK73ElXwu9yT5nGwOFTIQuUcFIjFM0eukOniWXnCufGpVxYpwCGx4djM+eGoHkhHDklOqxbHc6tp3MdnrOC7QfYFLfaKdQHwFgYmX8cUKY8dyE7lg8sRcm9euAv8R87iTlvcJ5eOdg7ZBjndfkyhtbdBRYUQ5UexB2iEWPOYeG4JO+n0Ar7uBUGfXcPsApS3XBqC54bnw3dG8fguhQKYp1RmwZkur825dcz3yTGKfAwHgF7u0djYHxCsxMjq/dUKgD+7yD11Q63Iqe4rLCZEEwMzket6KnwAohzgbfe/caHY5z/L6AmJFVqMVv+RpkFupw7nbZ3YHBMTOxY+JFLBtwnG/EEeLaeIXf/uHuD/y9wHa/pzo3UhA7GFhyCd9Mu8SHt3l9hANZGQajQAZLdTRGwwSjt3kn1CTY6T0SM1ZcYR/FTO5AneMfHWfmiAmTQiRgERMmxbaYv/NGx36+/xNsBcA4JUo4NuIc/y3565W7ZaqGYXa8H6OKdvnH1Ewsy0IgEDT5zx02btyINWvWYOvWrQCA1NRUrFmzBmvWrIFGowFg63Pq06cP8vPz+e/NmjULI0aMwIIFC7B69Wps2rQJ48ePh9VqxapVq9zS0hzs6dEhoxeBcWy1i2R8n0nmUzeh7vpQ/eGxprLoqJOXwAB4rGQDRnaLxAv3dsfA+DCIWAZBIhallSbcKa2EUl0FuUOfAgMgjfR00iSuzAdGLwFWavDFPfsgEwudJvO1F/BrT11DBRvi9HKwIADr0GdRV7/HrE9qae+m2o/Egt0AgB0TzzuFBxkAfzFtxqOCw/xvBYls0/PYX0S31gT7e43QcnVlbPfWdqflVlemOhRqDEhJy8cvN0ucK0VwyCnV49/ip53u4877TjldX+KvL/M6p/TvgDJRtO36qr2snNK7ITA7bl3TGyW17q0QFrx2diTCJr7C92cBgMSixewLTzidf2ZyPGYkxaFfbBhuFlfg+wwlrgu6OxuROhIw3F2XLTkhHD2jQ9AzWo7KaZv5Sr3WO3L2E1RO24xPJ55D7r3v4WzwvbBCiMsRE3nv+uIw53DvYs2/IBMLIBMLEF4960PNPs3LU/diSe+jeCjqe5QJo2sbzBr91ABsXrpjI2zRUQC2+ydaWQrGoUFpL8Piynx8Pu4ovpl2CSt77wPLMBjBbUEG6epktBgGWEb+g2dL17kMDSYnhEOtN4EjwMVcDUIkQlzM1SCrUIcv7tkHThDk9F6msXObtKTKtpPZyJh/9e61sSInj16b9KdGnas5MIQQVw0XJ1auXFlrMPCePXtw+fJlTJ48Gb162dKDMzMzcfDgQfTv3x/Tp0/HihUrmiyoc+fOyMnJcbkvOzsbnTt3xvz587Fjxw7+s53y8nL89a9/xd69e1FVVYWhQ4fi7bffxpAhQ5qkQavVIiwsDBqNxu3+rG0ns6HWm6GQibBgVBfkHdqI0PMfQZv0J8RNfL7W8YZV7SEhRhgZCaQrilycsYmsiXGK90MoQ8b8q/ysA7vO5aJYa5vpICpEjGfHd8eDv/4RUborYABYwWCFeQH+T7j1br9WRFfgxQsNDhTOyFND9/k83FN11NaZDICZ+q5zn9BKTd3a7Wn0jqy8O9B67uEhYInlbgYWAf5uWYhd3P2IDBHj4UEd+cGablOdps4jDce2MT/xA5KNFg43iyqgM1jAMED7UAk2PzEEiVsSbJoAXEZXzBP8E6csj0HCWGBmRHgqfh8+znsYEs4ha9XhXmTkqTFgSwKf2FEsaIfChec813JNebK2NySLAia8BrLvL3fvKYDfnspxOcj8ZnEltAYzFEEinDLNck4Vqk7fbinIyjDeW+VrJFYMvFEMwPbeZRXqoNabEB8hg0xs6zsDgCcOD4OQ2MYRcQD2TLvEjzcEUG+ZtuOxSaJXhYMQjr+WDaPO8nXFst3p2H9ZBYuVw++5A1gp2OrUJ0kIkI8oPBu1vdaYOPu6YOV6M66pdAiV2hqWyx7og7Sccsw7NJh/XgSAPioRwc8fb1BuzfrMkzSlvm2Uh7Vy5UqsWLGC/4uJiUFRUREuXbqE77//Hu+88w7eeecd7Nu3DxkZGSgsLKw3yaE+bt++DUKIyz+7cdq+fbvTZzvh4eHYsmULSkpKUFlZiaNHjzbZWHmKmq3KQ7Kp+CTpGxySTXV5/LUnr2H7xIu49uQ1zwj4e4FzGMiiR5+tvaDWmxEmE2NaYiziwqUIEQvQJ8Y203LBH/4Hs8Dm8hshwX8xkQ8NWiBAXh9bReSy/8eBxDgF5HN2YKviBSgFsdif8FdbJWZvXdYIW9bib7dr9wmc/YT/XcGKUhBG5NRa/IswBSxjm9jWI1PELDrq3PdjKMf0m29AIbNNfWVbcl6EEKkAMokQUSES2/2o7kdiYMsErDJz+CfmI4+JwaehfwLA4Ei8c4PFsZ8tMU4BvTSG97LaccWeXbF21ie1w1YAMPRJ3BL2cPIi+mx1nqE9MU6B/h3DIBayELEM9EYLPg1/wdnz+OGvntPqglvRU2BlhM59qtzdwax27+i5Cd0RLBbgwOVCaPQmJCeE40yvvzp5uzHXv3SaZaYxocomh5jrYkU5H3kxBXeEQiZCqFSIbSez8djwBLx4Xw/0iJbjf5IHcG/wXqdwIsMAHVGClOKHse6Hq06eVmKcAhP7RiNcJkJiXBg6RwXzk2gnJ4TjQMJSp3tgT+1viPq8ZG+uTuxWH9Zbb72F559/nvesHOnTpw8/+WxbxvEFsE+kWXOeuLqO9xhvlIA4BFCEnAHPnr6P70yPVcjQPVqOntUzNiTGKSCesgaI6IqyUa9DIGAxxvQeuhi/wD2ir/B26ahG/3RinAKKsc9gdefPoE+cZ9u46KhTmKRe/l7gZLS0R9Y7vRDsipJaRksmEfLX4hEecA4jhd/6DgtGdUHPaDkSIoMgrJ7KigFB/9jqluGio04hqw3CjfiK3I+H2fdxo9MjGN+rHTpOfN4pfbjixMdOleDXY/7n9LvLrz3imeuxYw9bTX3X5jVPeA0AkDp8J7QIuZuRyRlqVUTTBsbid/07oH2oFAzL4EvuflRIHKZTI1Y+C7ElqJy2GZ/efw4Ff3C+Rzj7CQDn9yizUIewIBEyC21TBt3z6CtgHIZ/DM36V5MNj7vhTZcsuQSs1EDy1ytYMKoLv6K03YNLTghH9/YhGNE1En9o/y30nLhWv9YXyimoOPGx02nt4yR7RsudJtFOjFPgdwv+bkssqQ7n2VP7G6K++sljRrwRuGWw8vLyIBKJ6twvEomQl9f82Z1bC2k55XyfDwCs3Xel3vRUT1Iz6UNq0SLxv6ORGKdAdKgUmiqz8wDYoU8CL15A3MTnMbRzOILEAkgEDKpMVn7JhsbiNMDYHf5eAEx9F9qgeJyNebzWC8GuKMGFAa+jSNQR34XPx6D4cNugSE/h6BXaWd+fTx9uL5fAYLbCbCW47dTXdLdSvJ87DgLbWJVyvZl/6UuqhwowAJKVO50qweSEcJQKop3GFDWGJrd0q5+1PYQXJhNj66ifYGFt49osrLRWRZQYp0DvDnIUaQ0wmK0oqTDi9S67nL0sx1Cqh3GqOAUOiVT/+1utY3t3kENTZXaa7qi867S7SS/E3GTD0yINy2rsxjBUKuRXbbAPLyjQGDAMn9Xu1wIwMnMt8v81nH/u9vNMGxjrWuvQJ8G+UQJmpaZR4cDG6m7pDEHATYPVv39/bNq0ySnpwU5eXh42bdrk1Xn7/B3HB+qY+eSNFknI6EW1M6w0uUDKk2gnlyAuXMbPmVeThwbGYmBcGDpHyWAlBKUVRpdredVFcwtyRp4a20z34tD9/8Odbo86ncdeOf9P+gB2DtuL/O6PYXyvdp6fMbpmaLB6QHFyQjjEQhYcRyBkGVQYLXfvS/+Z/OEMbPNKmiycU8VZ8If/4Zfey2EM7QzJmBdrjRVTLjjTZKnNbenan9fVhVnASg2uLsxy+fwOXVGBZVC9ACeDO2V6/Cqb0OixWR5jyrq7/3YIC9oJk4kxKN7madmfzd5uq/n9jkkv/oDdGDp6WvZtPaPlELIMnhL/C2uYp8AR56EnsfpM25RZaFmjWp9ub/yeWwZr/fr1KCoqQs+ePTFnzhysXLkSK1euxOOPP45evXqhqKgI777rIk7eRnF8oPY1gRoz2t9Tv93t2a+cspMAgFxKQVLRN+gZHVJnJa81WDCsSyQigiUQsSwMZiuuF1XgxS8vNGpBv+YW5NR0JY5mFSGzUFfrPPbKGUD9rUlP8EDtAcU2o8CgV4wcHcNl6BcbdtdQzPrE6fAnRD+ic1QwKk13lwixh6gkf0l3maSQGKfgxzo5hdzqobkNhLoGWde8pxP7RiM8WAKZSIBKk235ja86rYBF7HBcPWOzPEbN+1bj9+xZcwqZmH82oVIhLHCIDtWRju8tXHnFrp7jy5N6YWS3SNzXJxpnIqcjif0aJiJw7o/idKjcOMar+r2NWwZr9OjROH36NCZNmoQ9e/Zg9erVWL16Nfbu3YvJkyfj9OnTGD16tKe1tgrs41KGVc9l5zWq090dC/jknLecUtMdcex3M1qsqDJbYeZsixjmleux/dRtLwl3nejfYNjDk7gYUDzn5/HoGR2C5IQIPD2mC3p1kDsbCofkixmGvU7DBhqLffBmYydBdqeB4E6H+czkeLz32GAES4UgHIGAZTAwXgHRazWye71hDBwbYpd2O+2yD/S2P5uMPDUOXVHh+9gXXY7p8gWuvOKa/d/bTtqSbuzXMv+ezoiPkCGZ+QKa6mmigLtJFN5KgPAFbg8c7t+/P/bs2QOdToeCggIUFBRAp9Phm2++oeHAajLy1C77q7wZ83ViySVYWKlTAZ93eKjLSsve7wYApdXLM9ipuSx7S2Fbedl1mM/bYY+aA4pFJjWeK7WFpI5fL+GXduFZdBT5o9ZCGxSPgr5PNnkFacA71+huGDExToFe0XJIRQLoTVasP5iFGZtOoLJmJ34LJmAAqE7gqXv0ouM9TMsph0ImxoGgB6CPSgQBUCzv69PK3bEucFVf1FxqaMGoLugRLUdJhRFVJiuSjf/Bfozix3JmMt29lgDhC5odk2JZFlKpFCEhIbXWomrr2PurAOK0tpXj8hfe5urCLPT7pBs/jokhZvTZ2gs/jjzupNHe36Y3WdArWo6ySiNYs21dKZYFRAKGT8NuKXx5n1zy9wLb7OjVhN36DtcsL+BmsY5f+NJRb1mfOTgkm4rkhHAs8KfrcMBxpeumkJGnhsnCoVv7EGQWaGG0cvgtX4sN92zG8tJRtombgRZNwODpPxO4stf1QF4HHJNaguOO3x1b1IR15zyNYxnfdjK7Vn3h6vnYlgUSo6zSDI4jWGx+HkL2BXRtH4L7erf3TWPYS7htYc6dO4cpU6ZAJpMhMjISP//8MwDbdEgPP/wwjh496imNAYvjSH1/KUCJcQoIVpTyk30CzunujsfZJ4kd2S0ST47qgqSEcLQPlSAyWAJNlaXVtuLqpcZMBRsK5iBcZluRtSbeTPd1F3e9OPsil+3lEozuEQWhgEWoVIhL+Rrk3fN/zge3dALGrE+AN0pr9R3WpOa1+izSUQeu6gtXzyc5IRxje0ZVDy+QwEoAoYBFiESIMJm4+YOa/Ri3PKxTp07h3nvvRceOHTFnzhxs2bKF3xcVFQWNRoPNmzdj/PjxntIZkLjyEDw2Ur65vFHCewt8ursLPddVOpy+VQqpSAC51DZ2I1gixICOYX7zonuVRUdtk5ZWz1IQblbh07CPsbfb6lr3w13vJRCwr3BtMFvRTi5B35hQ7L2oRFmlCTtM92K5NNx5HbWUJxs0KN7G3zz4xupxPG7tvis4eLkQOoMFYiHb5JXKAw23PKzXXnsNffr0wZUrV/Dmm2/W2j9hwgScPt341XLbEn7V6m5gmQrAlsKcW16FC7lq/JavRpXRgvJKE8b0iGq1L0WD1MgaDLv1ndNnx45yr/azeZj6EjIS4xSIVQShXG9GWk4Z9l9WQWcw41ZJJY5dK8K2MT85JzZc2esl1W2L3h3kCBILMaSzbQyiP3mMLYFbBuvs2bNYsGABJBJJrTkGAaBjx44oLCxstrjWiF+FIRxnd3cIdTlWVBP7RsPKEfSKDkFUiARmzjZg0XFZgjZHjaxBBkCnm7v4RohfNUqaQUPXYQ9hSYQCdIqQQVtlhtVKcKO4EqnpSihl9sU/mQb7lyjuoTVYMCheAZZhvJMx62PcCgmKRKJa6045kp+fj5CQELdFtWZ8HYaoFZJ0MU2SY0Vlz0qydfQKcfx6CVRag9OyBG2RjEdOoP+WLrCvvzu0YCfa3fssgNYTCmzMdcQqgtC7gxyZhTqIhbaMQY4DrhRo8VqX97Bj4XAvKm57OCaStGZDZcctgzVixAikpKRg8eLFtfZVVlZi27ZtGDduXHO1UVqAmmmyrqhZUTka2cYuR9BS+EsfYFpOOYq7voJ7cjcjSCRA6IQljc4CrXkN/nJNNWnoOhwHbwNAsEQAs5WDlSMwWTj8eqsUGw5lYfHE2nOOUpqPv5ablsStkOCqVatw7tw5TJ06Ff/7n20SyvT0dGzZsgXJyckoLi7G66+/7lGhgYY3ZzBuCo0JSXp9jFMT8Jdwm3111uvzLgKv3GzSkho1r8Ffrqmp1CxL9mm+JCIWhAAcB+w6l+uX70FrIFDLTXNwy8MaPnw4fvjhBzz77LOYO3cuAODll21zcnXr1g0//PADEhMbNwtwa6Uxnowv8HVIsrkkJ4QjNV0JvcnS4uPA6qM597GmBxuoIUTHe3BdpUNumR555XpYrbZ0CwtHoNGbkVWo44+neI5ALTfNwe2Bw/feey+ysrJw8eJFXL9+HRzHoVu3bkhOTnaZiNGWsE9rBAD39WnvYzWtC/uMBTU9lEAKi9Q0dvUZv0AJ+9hn5j95o4RfgZZlwIcGh3ZuO5Wqtwj0xqc7NHumi0GDBmHQoEEekNJ6sE9rpJCJ2lyB8gaOLUt/9WQbw+60XBy6osLEvtF19g36+voaazDtz+LBxBj8mFkMo9kCndE22a/eZEFmtZflbRqrP1AaBm0dt/qwWJZFTEwMjh075nL/zp07IRAImiUskPGr1PVWSM3Z7wP1Xh+6okK53lzvEAFfX5/dYKamK+vti7I/k3UzB2LLvCGYPbQTYhVSCFgGZqt3p5p17D9ubD9PW+wPCkTc9rAMBgPuv/9+vPXWW3jppZc8qSngsc8OESoV0tZaC+MPYRF7xRgqFUJrsDS6lT6xbzTvYdVFS11fUz0nvcnSaE/PrvlSvgYWK4FUJPD8OmX14Gh8GtvP0xb7gwIRtw3Whg0bcObMGSxZsgTnzp3Df/7zH0ilUk9qC1gcW86+TgOntDz2CvL0rVL06hDa6PDdzOT4estHS4apGhtqtBsfRy2NZXiXCJTrzZjSL9qrjQpH4+POdEcU/8XtyW9FIhE++OADbN++Hd988w1GjRqFO3fueFJbwDKxbzTCZaI2P7i2rWAP203sG+3R8F1LhqmaGmp0Z6hDpcmK6FCp08KV3sCfh2VQmkezky7mzp2LxMREzJw5E8nJydi1a5cndAU0PaLl0Bos6BEtb/hgH0I7mj1DS7XOWzJM5UnNdZWjYp0ReeV6hMtqz2Tva2jZD0w8soDVoEGDkJaWhqFDh2LKlCn45BP/mpXZ29iXdk9NV/paSr0Eekezvw7O9hSB4inUVY7aySX8YGJ/wx/Lfmsvz57AYysuKhQK7Nu3D6+99hq/NlZbxdayrEKxzuhrKfXi6wy05uKPlU5bpK5yVN+K0S1NQ5W/P5Z9Wp4bxq2QYHZ2Ntq1a1drO8MwWLVqFR555BGUlpY2W1ygYmtZBvlly9KRQO9oppldvqFmAkZdoTVflq+0nHJkFdqydZ+b0N2vtNUFLc8N45bBSkhIqHd///793RLTWpg2MJYWPC/gj5VOW8DRE1Cqq3BNVQGlusqvnkVyQjhO3yqFQib2u0HldfWfeaI8t/a+uUYZrNWrV4NhGCxfvhwsy2L16tUNfodhmDY7AS6tSCmtGUdPwDYFmXcHBjeGxDgFnpvQ3S8bji05e4mvZ0ZpaRhCSIOljWVZMAyDqqoqiMVisGzDXV8Mw8Bq9W46q6fQarUICwuDRqNBaGior+VQKH5La2/RtwQtec8C8Xk0pb5tlMFqa1CDRfEnArES8iaBen8CVbenaUp967EsQQqF0jL4c/aYP6Ri+/P9qQ9P6PaH++9NqMFqAdpaIfJX/P057E7LxZ8+O4fdabn1HuePKdh2/MFY+PP9qY/6dDe27PrD/fcmjUq66NKlS5PXuGIYBjdv3nRLVKDT2js+AwV/fw6NmXPSn8JGrrT4w4KaDSU5+dM9dKQ+3Y0tu20tFb5RBmvcuHFtflHGptDWCpG/4u/PoTGztfuT0XWlpeaCmr7W6Ap/1+eKxpbdtpaRTJMuXECTLvwXf20t10VDepu735vUpcWfNLrC3/W1dWiWYDOhBst/2XYyG2q9GQqZCAtGdfG1nAZpSG+gXQ/Ft7RG49uU+rZZs7WbzWZkZmZCo9GA47ha+8eOHduc01MotfD3MF9NGtIbaNdD8S2BGN70JG55WBzHYdmyZdi0aRP0en2dx7X1gcOtsTXkTdrS/WtL1xootPQzcef8rbGctPg4rDfffBNvvfUW5syZg08//RSEEPzjH//ARx99hMTERAwcOBAHDhxwS3xrwp9STv09xdsV/nT/GkNz7nGgXWtboKWfiTvnD5QlZ1oKtwzW9u3bMXv2bHz44YeYMmUKACA5ORlPP/00Tp8+DYZhcOTIEY8KDUT8aXxIIFaI/nT/GkNz7nEgXGsgNnqaQ0s/k0B45nXhq7LgVh9WXl4eXnnlFQCARGJbQsNgMAAAxGIx5syZg3fffRdvvvmmh2QGJv6UchqIfSX+dP8aQ3PucSBca1vrP2npZxIIz7wufFUW3DJYkZGRqKioAACEhIQgNDQUt27dcjqmvDxwWvKexh/izDU1BPLLESi4c4/9oaw0hF1jqNRWXTRkkAPhmijNw1cNYLcM1uDBg3H27Fn+84QJE7BhwwYMHjwYHMfhvffew8CBAz0mMtDwh5aoP2igNIwvnlNTDYpdI4BGpd7Tstf6cWycebOB4lYf1qJFi2A0GmE02paAX7t2LdRqNcaOHYtx48ZBq9XinXfe8ajQQMIfYtP+oIHSML54Tk3ta2uKxow8NZTqKuhNFlr22gje7B/32MBhjUaDo0ePQiAQ4J577kFERIQnTusT6MDhwIKGoJpGS9wv+zmV6irIxEI6ELoN0dzy5LWBw46EhYXh4Ycf9tTpKJRGQ0NQTaMl+jMdw4bUs29beLN/vNkzXeTn56O8vByuHLWkpKTmnJ5CaRSBmAFZF4HqLdqfwX192geUbkpg4ZbBUqvVWLp0KXbu3AmTyVRrPyEEDMME7EwXlMCiNWVA+ru3WJdBbU3PgOK/uGWw5s+fj9TUVDz66KMYPnw4wsLCPCbIaDTijTfewGeffYby8nIkJiZizZo1mDhxYr3fW7lyJVatWlVru0Qi4ceIUSj+jr97i/5uUNsSgeqNNwe3DNbBgwfx4osvYv369Z7Wg/nz5yMlJQWLFy9Gjx49sH37djzwwAP46aefMHr06Aa//+GHHyIkJIT/LBAIPK6RQmkKTalY/N1T8XeD6khrr9DbYuPB7YHD3bt397QWnDlzBrt27cJbb72FpUuXAgDmzp2L/v3745VXXsGpU6caPMesWbMQFRXlcW0Uirs0pmIJlMrV3w2qI629Qrc3HkKlQmw7me33ZccTuD0Oa9euXS6XFGkOKSkpEAgEWLRoEb9NKpXiySefxC+//ILc3NwGz0EIgVardZkEQqH4gsaMYwrEuR79ndY+FtE+Ea7WYGkzZcctD+v111+H0WjEkCFD8MQTTyAuLs5l6G3GjBlNOu+FCxfQs2fPWrn4w4YNAwBcvHgR8fHx9Z6ja9euqKioQHBwMKZPn4533nkH0dF1L0FOobQ0jfFKAinUFigEkjfoSFO97bZUdtwyWPn5+Thy5AguXryIixcvujzGnSzBgoICxMTE1Npu36ZUKuv8bnh4OJ5//nmMHDkSEokEx48fxwcffIAzZ87g3Llz9Q5Ic5y1A7ANZKNQPEVjKqBArVwpnqepocy2VHbcMlgLFy7E+fPnsWzZMo9mCVZVVfGzvzsilUr5/XXx0ksvOX2eOXMmhg0bhscffxybNm3C3/72tzq/u27dOpcZhhSKJ2jtfSkUz9KWPKam4tbUTMHBwVi6dKnHK/n+/fsjOjoaP/74o9P2K1euoF+/fvjoo4/wzDPPNOmcMTEx6NevHw4fPlznMa48rPj4eDo1E8UjBEpCBYXiC1p8aqYOHTq0yFyBMTExyM/Pr7W9oKAAABAbG9vkc8bHx6OsrKzeYyQSiUvPjkLxBG0pZOMLaIOg7eBWluDLL7+MLVu28GtieYpBgwbh2rVrtfqQTp8+ze9vCoQQ3L59G+3atfOURAqF4mekpitxNKsYqel193H7M21tJefm4JaHZTAYIBKJ0L17d8yePRvx8fG1sgQZhsGSJUuadN5Zs2bh7bffxscff8yPwzIajdi2bRuGDx/OZwjeuXMHer0evXv35r9bXFxcyzB9+OGHKC4uxpQpU9y5TAqFEjAE7jAW2sfZeNzqw2LZhh0zd+cSnD17Nvbs2YMlS5age/fu2LFjB86cOYMff/wRY8eOBQCMHz8eP//8s9NYK5lMhj/84Q8YMGAApFIpTpw4gV27dmHgwIE4efIkZDJZozXQ5UUoFM/R0iG7QA8JBrr+5tLifVjZ2dluCWsMn376KV5//XWnuQS///573ljVxeOPP45Tp05h9+7dMBgMSEhIwCuvvILly5c3yVhRKBTP0tIeRKD3EQa6fm/SZA+rqqoKy5cvx4QJEzBt2rSW0uVTqIdFoXiOtu5BUOqnRT2soKAgbN68GX379nVbIMV/oJUJpaWhHgTFU7iVJZicnIxLly55WgvFB9A57CgUSqDglsHasGEDdu3ahS1btsBisXhaE8WLtPYJQikUSuvBrSzBxMRElJSUQKVSQSKRoGPHjggKCnI+McMgPT3dY0K9Ce3DongTGpb1H+iz8D4tniUYERGByMhI9OrVyy2BFArlLnQcjv9An4V/45bBOnr0qIdlUChtFzrZqf9An4V/41ZIsLVDQ4IUCoXiHVo8JAgAVqsVn3/+Ofbt24ecnBwAQEJCAh588EE8/vjjLhd0pFAoFArFXdzysDQaDSZPnoyzZ89CLpeja9euAGwzYGi1WgwbNgwHDhwIWO+EelgUCoXiHZpS37qV1r58+XKkpaXh/fffR3FxMc6fP4/z58+jqKgIGzduxLlz57B8+XK3xFMoFAqF4gq3PKyOHTti1qxZ+Pe//+1y/4svvoiUlJR6l7T3Z1q7h0VTdyltHfoO+A8t7mGVlpbWm9Leu3fvBhdNpPgOOrsFpa1D34HAxC2D1b17d3z33Xd17v/uu+/QrVs3t0VRWhZ/nd2iroXs6AJ3FE/jr+8ApX7cyhJ87rnn8Pzzz+OBBx7A4sWL0bNnTwBAVlYW3nvvPRw6dAgbN270qFCK5/DXyUjrGrRJB3NSPI2/vgOU+nHbYBUVFeEf//gHDhw44LRPJBLhjTfewLPPPusRgZS2Q12DNtviYE7ax0Kh1KZZA4dLSkpw+PBhp3FY999/P6Kiojwm0Be09qQLiv+z7WQ21HozFDIRFozq4ms5AQc1+IGDVwYOA0BUVBQeffTR5pyCQqG4IJC9Sn8wFjSM3DpplsHS6XTIyclBeXk5XDlqDS1rT/E+/lCZUBomkPtY/MFYBLLBp9SNWwartLQUzz//PHbv3g2r1QoAIISAYRinf9v3UfwHf6hMPAU1vv6JPxiLQDb4lLpxy2A9/fTTSE1NxYsvvogxY8YgPJy2YgIFf6hMPIU/G9+2bEypsaC0FG4ZrIMHD2LJkiX417/+5Wk9lBamNVUm/mx8/dmYUiiBilsGSyaToXPnzh6WQqE0DX82vv5sTCmUQMWtmS7mzJmDPXv2eFoLhdJqSIxTYMGoLn5rUN2BzjhC8TVueVizZs3Czz//jClTpmDRokWIj493uf5VUlJSswVSKBT/gIY5Kb7GLYM1evRo/t+HDh2qtZ9mCVIorQ8a5qT4GrcM1rZt2zytg0Kh+Dn+3GdIaRu4ZbDmzZvnaR0UCoXiMdrysILWjFtJF44UFBQgPT0dlZWVntBDoVAozYaud9U6cdtgffvtt+jduzfi4uKQlJSE06dPA7BNiDt48GCaRRiA0CwwSmuBrnfVOnHLYKWmpmLGjBmIiorCihUrnOYRjIqKQseOHbF9+3ZPaaR4CdoqpbQWWuOwAoqbBmv16tUYO3YsTpw4gT//+c+19o8cORIXLlxotjiKd6GtUgqF4s+4ZbAuXbqE2bNn17k/OjoaRUVFbouieBd7KBAAbZVS6oWGjSm+xC2DJZPJ6k2yuHXrFiIjI90WRfEuNBRIaSw1y0ogGrBA1Eyx4ZbBmjBhAnbs2AGLxVJrX2FhIf7zn/9g0qRJzRZH8Q6BGgqkFY/3qVlWArGxE4iaKTbcGoe1du1ajBgxAkOHDsUjjzwChmFw4MABHDlyBJs3bwYhBCtWrPC0VkoLEagDQulUQd6nZlkJxNkv/E0zHTPWeBjiaqngRnD58mW89NJL+Omnn5yyBMePH48PPvgAffr08ZhIb6PVahEWFgaNRoPQ0FBfy6HUAX3RKa2BbSezodaboZCJsGBUF1/L8TpNqW/dNlh2ysvLcePGDXAch65du6Jdu3YAnFcgDjTaksHKyFMjNV0JAJg2MJZW/BSKl2nrDa+m1LduhQQdCQ8Px9ChQ/nPJpMJ27dvx9tvv41r16419/SUFiYtpxzXVBUACA2tNYG2XslQPEeghuR9QZMMlslkwnfffYebN28iPDwcDz74IGJjYwEAer0eGzduxIYNG1BYWIhu3bq1iGCKZ0lOCIdSXcX/m9I4aP8ZxZvQBpKNRhsspVKJ8ePH4+bNm3yfVVBQEL777juIxWL88Y9/RH5+PoYNG4b3338fM2bMaDHRFM9BW3fu4W8d95TWDW0g2Wi0wVq+fDmys7PxyiuvYMyYMcjOzsbq1auxaNEilJSUoF+/fvj8888xbty4ltRLofgF1ND7L431RvzFa2mMjqY0kLxxXb66d402WIcOHcKCBQuwbt06fluHDh3wyCOPYOrUqfj222/Bss2e/J1CoVCaRWO9EX/xWhqjoykNJG9cl6/uXaMtjEqlwogRI5y22T8vXLiQGisKpY3g7wO2GzsQ3l8GzHtahzeuy1f3rtEeltVqhVQqddpm/xwWFuZZVRQKxW9JTVfimkoHpbrKL8OijfVG/CWs62kd3rguX927JmUJ3r59G+fPn+c/azQaAMD169ehUChqHZ+UlNQ8dRQKxU/xjzGW/tIPRfEOjR44zLKsy4HArgYI27dZrVbPqPQybWngsD/TWisjf7+uhvT5k/62PktEa6BFBg5v27at2cIolKbgqmPXnypLd/GXzv66aEifv4TSgNY7vKA1lPOWoNEGa968eS2pg8doNOKNN97AZ599hvLyciQmJmLNmjWYOHFig9/Nz8/HkiVLcPDgQXAchwkTJmD9+vXo2rWrF5RTPI2rysjfK/vG4K+VrL2SDJXaqgV/0+cKfzKenqQ1lPOWoNlzCXqaxx57DCkpKVi8eDF69OiB7du34+zZs/jpp58wevToOr9XUVGBpKQkaDQavPzyyxCJRFi/fj0IIbh48WKT1ueiIUH/hbY8Ww4aXvMtjvN69u4gh9ZgaRPl3KtzCXqSM2fOYNeuXXjrrbewdOlSAMDcuXPRv39/vPLKKzh16lSd3920aROuX7+OM2fO8HMb/u53v0P//v3xzjvv4M033/TKNVBaltbWoq5pgH1pkF15fjUnRwbgVw2Gptyv3Wm5OHRFhd4d5AiTif3mGuw4zusZqwhqsNHgL2XHm7/rV4OnUlJSIBAIsGjRIn6bVCrFk08+iV9++QW5ubn1fnfo0KFOE/H27t0b9913H77++usW1R1o+Ps4mrZEzcUEHT/bn9PutFyvPK/EOAUWjOqCI1dVmLLhGDYcyuIr0WsqHdJyyv1u8cO69Lgq44euqFCuN2PvRSVS0/Ox7oerfvEO2LWGSoXoGR2CntHyRoVj6ys73sSbv+tXBuvChQvo2bNnLbdw2LBhAICLFy+6/B7HccjIyMCQIUNq7Rs2bBhu3rwJnU7ncb2Bir9VOm2ZmgMwHT/bn9OhKyqvPq/9l1XQGczYf1mF5IRwp0rUXwbb2qlLj6syPrFvNMJlIiREyqCpssBo4fziHbBr1RosWD61L5ZP7dsoT6W+suNNvPm7fhUSLCgoQExMTK3t9m1KpdLl98rKymA0Ghv8bq9evVx+32g0wmg08p+1Wm2TtQcS/trp3xapGeKs+TktpxwT+0bz/RneYEq/aOy/rMKUftEuQ7D+FEarK0TsqozPTI7HzOR4pzCnP7wD7r6PDZUdb+HN3/Urg1VVVQWJRFJru31Gjaqqqjq/B8Ct7wLAunXrsGrVqibrDVRaWz9Qa8VXz2nxxF5YPNF14y5QqO/e+Vv59zc9/oxfhQSDgoKcPB07BoOB31/X9wC49V0AWLZsGTQaDf9XX18ZhUKhUHyDX3lYMTExyM/Pr7W9oKAAAPjFImsSEREBiUTCH9eU7wI2z8yVd0ahUCgU/8GvPKxBgwbh2rVrtfqQTp8+ze93BcuyGDBgAM6dO1dr3+nTp9G1a1fI5XKP66VQKBSK9/ArgzVr1ixYrVZ8/PHH/Daj0Yht27Zh+PDhiI+PBwDcuXMHmZmZtb579uxZJ6OVlZWFI0eO4JFHHvHOBVAoFAqlxfC7mS5mz56NPXv2YMmSJejevTt27NiBM2fO4Mcff8TYsWMBAOPHj8fPP/8MR+k6nQ6DBw+GTqfD0qVLIRKJ8O6778JqteLixYto165dozXQmS4oFArFOwTsTBcA8Omnn+L11193mkvw+++/541VXcjlchw9ehRLlizBmjVrwHEcxo8fj/Xr1zfJWFEoFArFP/E7D8sf0Gg0UCgUyM3NpR4WhUKhtCBarRbx8fFQq9UNLgbsdx6WP2CfFcPeZ0ahUCiUlkWn0zVosKiH5QKO46BUKiGXy10uWmlvEQSiB0a1e59A1Q1Q7b4gUHUD7mknhECn0yE2NhYsW38eIPWwXMCyLOLi4ho8LjQ0NOAKlB2q3fsEqm6AavcFgaobaLr2hjwrO36V1k6hUCgUSl1Qg0WhUCiUgIAaLDeQSCRYsWJFQE7nRLV7n0DVDVDtviBQdQMtr50mXVAoFAolIKAeFoVCoVACAmqwKBQKhRIQUINFoVAolICAGiwKhUKhBATUYFEoFAqlUfg6R48aLIpP8fULQKF4C41G42sJbvPVV18BgMup6rwJNVgALly4gDt37jgVqECpSPV6va8luMWtW7eg1+thMBh8LaXJpKen4/r168jLy+O3BUp5+fbbb/Hcc8/h1q1bAGzzZgYCX375JeRyOU6ePOlrKU3mm2++waRJk7B+/Xrcvn3b13KaxK5du9CtWzc89thjOHHihK/ltG2DdfXqVYwePRr33XcfBg4ciGHDhmH37t2wWCxgGMavK6GsrCwkJyfjqaee8rWUJpGRkYGpU6di2rRp6NKlC8aPH4+TJ0/69b22k5GRgYkTJ+LBBx9EcnIyBg4ciPfee48vL/7OoUOH8Pvf/x6fffYZvv/+ewBocLJRX3PhwgUMHz4cCxcuxNSpUwNqbj2lUompU6di7ty5EIvFkMlkkMlkvpbVKOz3fd68eZDL5ZBKpTAajb6WBZA2ikqlIoMHDyb33HMP2bp1K9m6dSsZMWIEUSgUZMWKFYQQQjiO861IF3AcR1JSUkjPnj0JwzCEYRhy9OhRX8tqEIvFQt577z3Srl07Mm7cOPLGG2+Q5557jsTHx5PevXv79TWYTCaydu1aolAoyLhx48j7779PvvzySzJ+/HgSGhpKvvnmG19LrBd7OU5LSyORkZEkKCiIDB8+nFy8eJEQQojVavWlPJfo9XqyYMECwjAMGTduHPn222+JSqXytawmsWLFCtKnTx+yc+dOcufOHV/LaRQajYbMnTuXMAxDxo8fT7799luyb98+IpVKydtvv00Isb3LvqLNGqxdu3YRoVBIUlJS+G15eXnkD3/4A2EYhhw+fNiH6urm5s2bpH///iQyMpKsWbOG9O3bl4wYMYKYzWZfS6uX/fv3k65du5KFCxeSzMxMfvvJkycJwzDk1Vdf9dtr2LdvH0lKSiKLFy8m165d41/Y69evE4ZhyL/+9S+/bNzUJCUlhUyaNIl89NFHhGEY8tprr/HX4k/6LRYLWbt2LWEYhjz99NOkuLi4zrLhT7oduXPnDomOjiYvvvhire2O+JP+yspK0qNHD9K1a1fy4YcfkpycHEIIIbdu3SLh4eFkxowZPm/ctFmD9c9//pOEhYXxD8BkMhFCbK3QYcOGkf79+/tliy4nJ4e89tprfOv4gw8+IAzDkC1btvhYWf28++67pE+fPqSoqIjfZjQaCSGEjBgxgkycOJEQ4l8vsJ0TJ06Qd955x0k7IYTs2bOHtG/fnnz11VeEEP/UTshdXadPnyZhYWGEEELuv/9+EhMTQw4dOuR0jL9w7tw5MmrUKNK7d29+27fffkvmzZtHXnnlFbJ161a+/Pgjx44dIzKZjFy7do0QQsinn35K+vbtS/r27UumT59OvvjiCx8rdMZeD546dYpcunSJrw/tDB06lIwfP54YDAaflpVWb7DsD6LmTV6/fj2Ry+Xkp59+IoQQp5bmV199RSQSCXnzzTddftdb1KXdYDDw/87KyiKTJk0icXFxpKSkxKv66sJRt6P2rKwsp/2E2O77+PHjyejRo0lVVZV3hbqgrntek+PHj5P+/fuT0NBQsnLlSvLbb7+R8vJyp3N4m4a0p6SkkO7duxNCCLlw4QJhGIbMmzePlJWV1fu9lqYu3XZP8OWXXyaTJk0iDMOQ7t27E7lcThiGITNmzCCXLl1yOoe3qUv7uXPniFAoJHv27CFbt24lLMuSWbNmkXnz5pH27dsThmHItm3bfKD4Lo0p6xzHEavVSv785z+TsLAwvoz7qqy0WoNl73eo6XnYb/ShQ4eIRCIhK1eu5LfZH2BhYSGZPXs2adeunU9acXVpr4uvvvqKBAUFkVdeeaWFldVPU3XbDdrgwYPJH/7wB36bL2iMdnv5ePXVVwnDMGTChAlk3rx55MknnyQKhYI8+uij3pLrREPa7ff0zJkzRC6XE6VSSQgh5MknnyQSiYRv7VdWVnpHcDUNvaM5OTlk1qxZhGEYcu+995L9+/eTnJwckp+fT/7v//6PsCxLHnnkEa9qttPQPT937hyJiooic+bMIQMHDiSvv/460el0hBBCMjIyyOTJk0lkZCS5evWqN2UTQpr+nhJCyOuvv04YhiHfffddCyprmFZpsI4dO0b69etHGIYhkyZNIleuXCGE1K4Mk5KSyODBg8lvv/1Wa//OnTuJUCgkH374ocvv+lq747aioiKycOFCIpVK+Rantyv+puh2JDc3lwQHB5N169YRQnzTodtY7fbPe/bsIV999RUpKSnhty1btoywLEveeustQoj3WvxNue9ff/016dmzJx/q1mq1RCaTkQkTJpAFCxaQJ554gjdm/qJ7586dZP78+eTkyZO19j3++OMkLCyMr0T97R0dNWoUYVmWREVFkVOnTjntO3jwIImIiCAvvfQSIcQ/y4ujruPHjxOGYcjXX39d7/EtTaszWL/88gvp3bs36dy5M3nkkUcIwzDkn//8p1Onrb1S/PbbbwnDMGTNmjV8OMq+Lysri8TFxZFFixZ5rTA1Rntd/Pjjj6Rjx47k97//vReUOtMc3ceOHSMMw5ADBw54QWltmqK9vpf0+vXrpHv37mTgwIFOIduWpLHa7bqPHz9OZDIZyc3N5fc99thjRCAQEJFIRFasWEEqKir8Qrdds0ajqdV3aD/u119/JQzDOEVJ/EG7vQ7Zv38/n8lr96TsEZuioiIyZcoUEh8f73flxRWXLl0i4eHh5IUXXiCEUIPlMa5cuUIkEgn573//SwghZMyYMaRHjx7k5MmTLo9/4IEHSGxsLElNTSWEOLfw+/XrR+bOnUsI8c4Daqp2R10VFRW82/7jjz8SQgj5+eefybfffut0nL/otrNp0yYiFAr5cInFYiE3b94k586da3HdhDRPOyHOLeORI0eSESNGeK0Cqql97Nix9WrftWsX6dWrF1Gr1eSnn34io0ePJgKBgISGhpLu3buT48ePE0L8957XDN0XFxcThULh1VB4U7U//vjjhGEY8swzzxBCiJNxmDVrFunbty/RaDQtL5w0r6wXFRWRhIQEct999xGtVtvSUuukVRksu7FxbJHZW/AvvvgiXzAcK5mcnBwSEhJCRowYQc6fP89v//XXX0loaChZtWqVX2l3VZnYryczM5MkJSWRAQMGkFWrVpH4+HgSGRnZotmOzdFNCCHTpk0j99xzDyHEFh78/PPPyeDBg0lSUhIpLS1tMd3N1V7T6z5w4AARiURk8eLFLaj4Lk3Rbtf/448/ErFYTB588EEiEAjIqFGjyLFjx8jXX3/NV6ot3WfryXu+adMmwjAM+c9//tOCiu/iTv2Sm5tLQkNDa0URLl++TLp160bmzJnjlcawJ+77jBkzSL9+/UhFRQX1sJrKrl27yDPPPEP+8Y9/kGPHjvHbHW+k/UbPmzePKBQKsnfvXqdz2B/i9u3bSadOnUiXLl3Ie++9R7Zs2UKmTZtG4uPjSUZGhl9qd0VOTg6ZP38+H4Z4+OGHncI//qSb4zii0+lITEwMefTRR8nhw4fJQw89RBiGIVOmTCF5eXke0+1p7Y4olUqSmppKxo0bR/r27cv3h/qj9pMnT5LExETSp08fsnHjRpKbm8u/A6NGjSJPP/20Rw1WS93zwsJCsmfPHpKYmEjGjRvXItmxnqxfdu3aRWJiYkhERAR5+umnyZtvvkl+97vfkfDw8BYJhbfEfec4jqxZs4YwDMNn+/rCaAWcwSosLCSTJ08mwcHBJCkpiYSHhxOJREJWrFjBp1zWHAyZl5dHQkJCyIwZM/gK3Gq1Ot3wo0ePklGjRpGwsDASGRlJEhMTyYkTJ/xWe02OHz9OpkyZQliWJYMHD250SMuXum/cuEFkMhlJSkoiISEhpFevXnw409+1Hz16lDz99NNk1qxZRC6Xk4EDB5KzZ8/6pXZ7GMpkMpFjx46R3377jTdM9u95ckhBS97zP/3pT+Sxxx4jISEhJCkpiR+P6I/aHeuXkydPksmTJxOFQkHat29PBg8e7GRM/E27K9avX08YhnGabMHbBJzB2rFjB4mIiCA7d+4kSqWSlJaWkvnz5xO5XE6ee+65WsfbH8zatWsJy7Lk448/dipIjv+uqqoiKpXK4xVPS2l35PDhw0QsFpONGzcGjO4jR44QhmFI+/btW0R3S2pPTU0l3bt3J+PHjydbt24NGO3eaBW31D1PSUkhISEhZPjw4S0WBmzJ+sVoNJLy8nKSnp4eENrt2A1YQUEB2b59e4tobywBZ7DGjRtHRowY4bStsrKSzJs3jzAMQ/bt20cIqd1KMJlMpFu3bmT48OH86PObN286xXRbOhuwJbUT0nIp4Z7W7dintnnz5lqj6gNF+82bN1u0zHhS+40bN2qVl0DQXfOep6ent+jQB1q/uNbuLzOhBIzBslqtxGAwkMmTJ5NRo0bx2+3hjrS0NJKcnEy6du1a6+bWTGN/9dVXybZt20hSUhJ58cUXW3zAZKBqb0ndLZ1p1JLaWzr1uyW16/X6gNQdyPec1i+ewy8N1tWrV8lLL71EXnjhBbJ8+XLe6hNCyPTp00mvXr34zm3H1sLHH39MGIYh69evJ4TU9jjMZjMZOnQoEQgEhGEYEhMTQ/bv30+1B7Buqt032gNVN9XuO+2ewK8MltFoJEuXLiVBQUFkyJAhpEePHoRhGNK1a1d+7EBKSgphGIZs3bqVfyD2m3/79m1y3333kS5dutTqVD5//jxZvnw5CQkJIXK5nGzYsIFqD2DdVDstL1R7YGj3JH5jsHQ6HXnttddI165dyT//+U+SlZVFrFYrOXz4MImNjSVjxowher2eWCwWMnDgQDJ27Fhy+/btWudZuXIlUSgUfLyWENuDef755/nJPu2DVNu69kDVTbX7Rnug6qbafafd0/iNwcrOziZdunQhzzzzDFGr1U77nnnmGdKuXTt+9oPPPvuMMAxD3n33XT7Gam81XLhwgbAsS/bs2UMIuRvHPXPmDD9vFtUe2LqpdlpeqPbA0O5p/MZgcRxHPv74Y6dt9uyxr7/+mgiFQn4+LrVaTWbMmEE6dOhQa8DbmTNnCMMwZMeOHd4RTgJXe6DqJoRqJ4SWl6ZAtftGu6fxG4NFyF2LX7ND8K233iICgcBppdrc3FwSHR1N+vXrx3cO5ufnk+eff54kJCSQwsJC7wkngas9UHUTQrXT8tI0qHbfaPckfmWwamLvOHzppZdIhw4d+FaF/aEdOHCAJCUlEYZhyKBBg8jIkSOJSCQiq1atIhaLxadjBwJVe6DqptppeaHaA0N7c2AIIQR+zpAhQ9C5c2ekpKTAarVCIBDw+0pKSvDJJ5/g5s2b0Gq1eOmllzBy5EgfqnUmULUHqm6AavcFgaoboNoDCl9bzIYoKioiQUFB/MJ4hNhaF/Zlvf2ZQNUeqLoJodp9QaDqJoRqDzRYXxvMhrh06RIMBgOGDh0KACgsLMQXX3yByZMno7i42Mfq6idQtQeqboBq9wWBqhug2gMNvzVYpDpSefbsWYSFhSE2NhZHjx7Fc889h4ULF4IQApZl+eP8iUDVHqi6AardFwSqboBqD1i858y5x4wZM0i3bt3I008/TeRyOenRowc5ePCgr2U1ikDVHqi6CaHafUGg6iaEag80/NpgVVVVkUGDBhGGYUhoaCg/D1YgEKjaA1U3IVS7LwhU3YRQ7YGI32cJvvrqq2AYBqtWrYJEIvG1nCYRqNoDVTdAtfuCQNUNUO2Bht8bLI7jwLJ+29VWL4GqPVB1A1S7LwhU3QDVHmj4vcGiUCgUCgXw4yxBCoVCoVAcoQaLQqFQKAEBNVgUCoVCCQiowaJQKBRKQEANFoVCoVACAmqwKBQKhRIQUINFoVAolICAGiwKhUKhBATUYFEoFAolIKAGi0KhUCgBATVYFAqFQgkI/h+GhpDrXZgsRwAAAABJRU5ErkJggg==", "text/plain": [ "
" ] @@ -93580,7 +93415,7 @@ "name": "stderr", "output_type": "stream", "text": [ - "/Users/mdecegli/opt/anaconda3/envs/tempY/lib/python3.10/site-packages/rdtools/plotting.py:265: UserWarning:\n", + "c:\\Users\\mspringe\\.conda\\envs\\rdtools3-nb\\lib\\site-packages\\rdtools\\plotting.py:272: UserWarning:\n", "\n", "The soiling module is currently experimental. The API, results, and default behaviors may change in future releases (including MINOR and PATCH releases) as the code matures.\n", "\n" @@ -93588,7 +93423,7 @@ }, { "data": { - "image/png": "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\n", + "image/png": "iVBORw0KGgoAAAANSUhEUgAAAagAAAEuCAYAAADbW4YFAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjUuMCwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy8/fFQqAAAACXBIWXMAAA9hAAAPYQGoP6dpAAAmcUlEQVR4nO3dd1RU1/428GcAGaQTiQUlIGguii1RbFExtohEjVcQvVHRGI0mmliw4M8E0URjiS2uKBqvGsUeMLHG3nssqBe7YEVUpCgw6LDfP1zM62QGlGFgNszzWWvWyuxzZs/37JnweMqcrRBCCBAREUnGwtQFEBER6cOAIiIiKTGgiIhISgwoIiKSEgOKiIikxIAiIiIpMaCIiEhKDCgiIpKSlakLKA65ubm4d+8eHBwcoFAoTF0OEVGZJoRARkYG3NzcYGFhvP2eMhlQ9+7dg7u7u6nLICIyK7dv30a1atWM1l+ZDCgHBwcALwfL0dHRxNUQEZVt6enpcHd31/ztNZYyGVB5h/UcHR0ZUEREJcTYp1R4kQQREUmJAUVERFKSKqAuXryI4OBgeHl5wdbWFq6urmjVqhU2bdpk6tKIiKiESXUOKjExERkZGQgNDYWbmxsyMzPx+++/o0uXLoiKisKgQYNMXSIREZUQhewTFqrVajRs2BDZ2dm4dOnSG70mPT0dTk5OSEtL40USRETFrLj+5kp1iE8fS0tLuLu7IzU11dSlEBFRCZLqEF+eZ8+eISsrC2lpafjzzz+xbds2hISEmLosIiIqQVIG1KhRoxAVFQUAsLCwwL///W/Mnz8/3/VVKhVUKpXmeXp6erHXSERExUvKgBo+fDiCgoJw7949rFu3Dmq1Gjk5OfmuP3XqVERGRpZghUTmxXPclkK/JuHHQKO9jyF9Uekn5TkoHx8ftGvXDn379sXmzZvx9OlTdO7cGfldzxEeHo60tDTN4/bt2yVcMRERGZuUAfVPQUFBOHnyJK5cuaJ3uVKp1NzWiLc3IiIqG0pFQGVlZQEA0tLSTFwJERGVFKkCKjk5Waft+fPn+O2331C+fHnUrl3bBFUREZEpSHWRxBdffIH09HS0atUKVatWRVJSEqKjo3Hp0iX89NNPsLe3N3WJRERUQqQKqJCQECxZsgQLFizA48eP4eDggIYNG2LatGno0qWLqcsjIqISJFVA9ezZEz179jR1GUREJAGpzkERERHlYUAREZGUGFBERCQlBhQREUmJAUVERFJiQBERkZQYUEREJCUGFBERSYkBRUREUmJAERGRlBhQREQkJQYUERFJiQFFRERSYkAREZGUGFBERCQlBhQREUmJAUVERFJiQBERkZQYUEREJCUGFBERSYkBRUREUmJAERGRlBhQREQkJQYUERFJiQFFRERSYkAREZGUGFBERCQlBhQREUmJAUVERFJiQBERkZQYUEREJCUGFBERSYkBRUREUmJAERGRlBhQREQkJQYUERFJiQFFRERSYkAREZGUGFBERCQlBhQREUmJAUVERFJiQBERkZQYUEREJCUGFBERSYkBRUREUmJAERGRlBhQREQkJQYUERFJiQFFRERSYkAREZGUGFBERCQlBhQREUmJAUVERFJiQBERkZQYUEREJCUGFBERSYkBRUREUmJAERGRlBhQREQkJakC6uTJkxg6dCh8fX1hZ2eHd955Bz169MCVK1dMXRoREZUwK1MX8Kpp06bh8OHDCA4ORr169ZCUlIT58+fj/fffx7Fjx1CnTh1Tl0hERCVEqoAaOXIkVq1aBWtra01bSEgI6tatix9//BErV640YXVERFSSpAqo5s2b67TVrFkTvr6+iI+PN0FFRERkKlKdg9JHCIEHDx7A1dXV1KUQEVEJkj6goqOjcffuXYSEhOS7jkqlQnp6utaDiIhKN6kO8f3TpUuX8NVXX6FZs2YIDQ3Nd72pU6ciMjKyBCsjKhrPcVv0tif8GGgW7y+j/MYEyH9cTD2OhX1/Q7bRlKTdg0pKSkJgYCCcnJywYcMGWFpa5rtueHg40tLSNI/bt2+XYKVERFQcpNyDSktLQ0BAAFJTU3Hw4EG4ubkVuL5SqYRSqSyh6oiIqCRIF1DZ2dno3Lkzrly5gl27dqF27dqmLomIiExAqoBSq9UICQnB0aNH8ccff6BZs2amLomIiExEqoAaNWoU/vzzT3Tu3BkpKSk6P8zt3bu3iSojIqKSJlVAnT17FgCwadMmbNq0SWc5A4qIyHxIFVD79u0zdQlERCQJaS8zJyIi82ZwQLVp0wa7d+/Od/nevXvRpk0bQ7snIiIzZ3BA7du3Dw8ePMh3eXJyMvbv329o90REZOaKdIhPoVDku+zatWtwcHAoSvdERGTGCnWRxPLly7F8+XLN8++//x6LFy/WWS81NRVxcXHo1KlT0SskIiKzVKiAyszMxMOHDzXPMzIyYGGhvROmUChgZ2eHwYMH47vvvjNOlUREZHYKFVBDhgzBkCFDAADVq1fH3Llz0aVLl2IpjIiIzJvBv4O6efOmMesgIiLSUuQf6mZkZCAxMRFPnjyBEEJneatWrYr6FkREZIYMDqhHjx5h2LBh+P3336FWq3WWCyGgUCj0LiMiInodgwNq0KBB2LRpE77++mu0bNkSLi4uxqyLiIjMnMEBtWPHDowYMQLTp083Zj1EREQAivBDXVtbW3h6ehqxFCIiov/P4IDq3bs3YmNjjVkLERGRhsGH+IKCgrB//3507NgRgwYNgru7OywtLXXWe//994tUIBERmSeDA6pFixaa/965c6fOcl7FR0RERWFwQC1dutSYdRAREWkxOKBCQ0ONWQcREZEWzqhLRERSMngP6rPPPnvtOgqFAkuWLDH0LYiIyIwZHFB79uzRmbBQrVbj/v37UKvVePvtt2FnZ1fkAomIyDwZHFAJCQl6258/f46oqCjMmTNH79V9REREb8Lo56DKlSuHoUOHokOHDhg6dKixuyciIjNRbBdJ1K9fHwcOHCiu7omIqIwrtoDauXMnbG1ti6t7IiIq4ww+BzVp0iS97ampqThw4ABOnz6NcePGGVwYERGZN4MDauLEiXrbXVxc4O3tjYULF2LgwIGGdk9ERGbO4IDKzc01Zh1ERERaeCcJIiKSksF7UHn279+PLVu2IDExEQDg4eGBwMBA+Pv7F7k4IiIyXwYHVE5ODnr16oWNGzdCCAFnZ2cALy+S+Omnn9CtWzesXr0a5cqVM1atRERkRgw+xBcZGYnY2FiMGjUK9+/fR0pKClJSUpCUlISwsDDExMTke6UfERHR6xgcUKtWrUJoaCimT5+OSpUqadorVqyIadOmoW/fvlixYoVRiiQiIvNjcEDdv38fTZo0yXd5kyZNkJSUZGj3RERk5gwOqGrVqmHfvn35Lt+/fz+qVatmaPdERGTmDA6o0NBQrFu3DoMHD8bly5ehVquRm5uLy5cvY8iQIVi/fj369etnxFKJiMicGHwV3/jx43H9+nUsWrQIixcvhoXFy6zLzc2FEAKhoaEYP3680QolIiLzYnBAWVpaYtmyZRg5ciS2bt2q9TuoTp06oV69ekYrkoiIzE+hAio7OxvDhw+Hr68vhg0bBgCoV6+eThjNmzcPCxcuxNy5c/k7KCIiMkihzkEtWrQIy5YtQ2BgYIHrBQYG4r///S9+/fXXIhVHRETmq1ABtW7dOnTv3h1eXl4Fruft7Y3g4GCsXr26SMUREZH5KlRAnT9/Hi1atHijdZs3b464uDiDiiIiIipUQOXk5MDa2vqN1rW2toZKpTKoKCIiokIFlJubGy5cuPBG6164cAFubm4GFUVERFSogGrXrh1+++03JCcnF7hecnIyfvvtN7Rv375IxRERkfkqVECNHTsW2dnZaNOmDY4fP653nePHj6Nt27bIzs7G6NGjjVIkERGZn0L9DsrLywvr1q1Dr1690Lx5c3h5eaFu3bpwcHBARkYGLly4gOvXr8PW1hZr1qyBt7d3cdVNRERlXKHvJBEYGIi4uDhMmzYNmzdvxsaNGzXL3NzcMHDgQIwZM+a1l6ITEREVxKBbHXl6emLBggVYsGABMjIykJ6eDkdHRzg4OBi7PiIiMlMG34svj4ODA4OJiIiMzuDpNoiIiIoTA4qIiKTEgCIiIikxoIiISEoMKCIikhIDioiIpMSAIiIiKTGgiIhISgwoIiKSEgOKiIikJFVAPX36FBEREejYsSPeeustKBQKLFu2zNRlERGRCUgVUI8ePcKkSZMQHx+P+vXrm7ocIiIyoSLfLNaYqlSpgvv376Ny5co4deoU/Pz8TF0SERGZiFR7UEqlEpUrVzZ1GUREJAGp9qAMpVKpoFKpNM/T09NNWA0RERlDmQioqVOnIjIy0qh9eo7borc94cdAo76PKeW3jQUx5vYb8v75ya+usvQ5Fna8SuM2GpMxP/vCjn1B6xf2u2rOpDrEZ6jw8HCkpaVpHrdv3zZ1SUREVERlYg9KqVRCqVSaugwiIjKiMrEHRUREZQ8DioiIpMSAIiIiKUl3Dmr+/PlITU3FvXv3AACbNm3CnTt3AADDhg2Dk5OTKcsjIqISIl1AzZw5E4mJiZrnMTExiImJAQD07t2bAUVEZCakC6iEhARTl0BERBLgOSgiIpISA4qIiKTEgCIiIikxoIiISEoMKCIikhIDioiIpMSAIiIiKTGgiIhISgwoIiKSEgOKiIikxIAiIiIpMaCIiEhKDCgiIpISA4qIiKTEgCIiIikxoIiISEoMKCIikhIDioiIpMSAIiIiKTGgiIhISgwoIiKSEgOKiIikxIAiIiIpMaCIiEhKDCgiIpISA4qIiKTEgCIiIikxoIiISEoMKCIikhIDioiIpMSAIiIiKTGgiIhISgwoIiKSEgOKiIikxIAiIiIpMaCIiEhKDCgiIpISA4qIiKTEgCIiIikxoIiISEoMKCIikhIDioiIpMSAIiIiKTGgiIhISgwoIiKSEgOKiIikxIAiIiIpMaCIiEhKDCgiIpISA4qIiKTEgCIiIikxoIiISEoMKCIikhIDioiIpMSAIiIiKTGgiIhISgwoIiKSEgOKiIikxIAiIiIpSRdQKpUKY8eOhZubG8qXL48mTZpg586dpi6LiIhKmHQB1a9fP8yaNQuffvop5s6dC0tLS3Tq1AmHDh0ydWlERFSCrExdwKtOnDiBNWvWYMaMGQgLCwMA9O3bF3Xq1MGYMWNw5MgRE1dIREQlRao9qA0bNsDS0hKDBg3StNnY2GDAgAE4evQobt++bcLqiIioJEkVUGfOnMG7774LR0dHrfbGjRsDAM6ePWuCqoiIyBSkOsR3//59VKlSRac9r+3evXt6X6dSqaBSqTTP09LSAADp6ekG15KrytTbXpQ+ZZPfNhbEmNtvyPvnJ7+6ZP0cDamrsONlSF+FHUdD3z8/xvy8SmIbDVES72/IexTl/4m81wohDO5DLyERLy8vERAQoNN+/fp1AUDMnj1b7+siIiIEAD744IMPPkz4uH37tlEzQao9qPLly2vtCeXJzs7WLNcnPDwcI0eO1DzPzc1FSkoKKlSoAIVCAeBlwru7u+P27ds6hxDJMBzT4sFxNT6OafHIG9dbt25BoVDAzc3NqP1LFVBVqlTB3bt3ddrv378PAPluvFKphFKp1GpzdnbWu66joyO/oEbGMS0eHFfj45gWDycnp2IZV6kukmjQoAGuXLmicyz0+PHjmuVERGQepAqooKAgqNVqLFq0SNOmUqmwdOlSNGnSBO7u7iasjoiISpJUh/iaNGmC4OBghIeHIzk5GTVq1MDy5cuRkJCAJUuWFKlvpVKJiIgInUOBZDiOafHguBofx7R4FPe4KoQw9nWBRZOdnY1vv/0WK1euxJMnT1CvXj1MnjwZH330kalLIyKiEiRdQBEREQGSnYMiIiLKw4AiIiIpMaCIiEhKZTqgUlNTMWjQILz99tuws7PDhx9+iNOnTxe6n+fPn6N27dpQKBSYOXNmMVRaehRlTBcvXgx/f39UqlQJSqUS1atXR//+/ZGQkFC8RZcCho5rbm4uli1bhi5dusDd3R12dnaoU6cOvv/+e80dWMxVUb6rJ06cwJdffomGDRuiXLlymjvSmIuiTBx79+5d9OjRA87OznB0dETXrl1x48YNwwox6o2TJKJWq0Xz5s2FnZ2dmDhxopg/f76oXbu2cHBwEFeuXClUXz/99JOws7MTAMSMGTOKqWL5FXVMhwwZIkJDQ8XMmTPFkiVLxIQJE0SlSpWEq6uruHv3bglsgZyKMq4ZGRkCgGjatKn4/vvvxaJFi0T//v2FhYWFaN26tcjNzS2hrZBLUb+rERERoly5cqJhw4bi3XffFWX4T6VePXv2FFZWViIsLExERUWJZs2aCSsrK3Hw4MECX5eRkSFq1qwpKlasKKZNmyZmzZol3N3dRbVq1cSjR48KXUeZHfW1a9cKAGL9+vWatuTkZOHs7Cx69er1xv08ePBAODk5iUmTJpl9QBlrTF916tQpAUBMnTrVWGWWOkUZV5VKJQ4fPqzTHhkZKQCInTt3Gr3e0qCo39WkpCSRmZkphBDiq6++MquAOn78uM7fuqysLOHt7S2aNWtW4GunTZsmAIgTJ05o2uLj44WlpaUIDw8vdC1ldtSDg4NFpUqVhFqt1mofNGiQsLW1FdnZ2W/UT//+/UXjxo3FjRs3zD6gjDWmr3r06JEAIMaOHWusMkud4hjXuLg4AUDMmzfPWGWWKsYcU3MLqNGjRwtLS0uRlpam1T5lyhQBQNy6dSvf1/r5+Qk/Pz+d9g4dOghvb+9C11Jmz0GdOXMG77//PiwstDexcePGyMzMxJUrV17bx4kTJ7B8+XLMmTPH7I5B62OMMQWAx48fIzk5GadOnUL//v0BAG3btjV6vaWFscb1VUlJSQAAV1dXo9RY2hTHmJoLQyeOzc3NRVxcHBo1aqSzrHHjxrh+/ToyMjIKVUuZDShDJz/MI4TAsGHDEBISgmbNmhVLjaVNUcc0T9WqVVGpUiX4+fnhyJEjmDdvHtq3b2/UWksTY43rq6ZPnw5HR0cEBAQUub7SqDjG1FwYOnYpKSlQqVRGHXep7sWXn9zcXOTk5LzRukqlEgqFAllZWXrvD2VjYwMAyMrKKrCfZcuW4fz589iwYUPhCy4FTDGmebZt24bs7GzEx8dj5cqVePbs2ZsXLjlTjmueKVOmYNeuXfjll1/ynXamNJFhTM2JoWOX127McS8VAXXgwAF8+OGHb7RufHw8fHx8DJ78EHg5CVd4eDhGjx5dZu+gXtJj+qq89w0ICEDXrl1Rp04d2NvbY+jQoW9YvbxMOa4AsHbtWkyYMAEDBgzAkCFD3vh1MjP1mJobQ8cur92Y414qAsrHxwdLly59o3XzdiWrVKmimejwVa+b/BAAZs6ciZycHISEhGh+o3Pnzh0AwJMnT5CQkAA3NzdYW1sXZjOkUtJjmh9vb2+89957iI6OLhMBZcpx3blzJ/r27YvAwEAsXLjwDSuWnyzfVXNh6MSxb731FpRKpXHHvdCXVZQSQUFBeq/iGThw4Guv4gkNDRUACnycOXOmmLdAPkUZ04I0aNBA1KpVyxgllkrGGNdjx44JOzs70bx5c83l0ebMmN9Vc7uKLywsTO9VfD/88MNrr+Jr1KiR3qv42rdvL7y8vApdS5kd9TVr1uj8DuLhw4fC2dlZhISEaK177do1ce3aNc3zv//+W8TGxmo9oqKiBADRr18/ERsbK1JTU0tsW2RRlDF9/vy5SElJ0enz+PHjwtLSUvTp06f4CpdcUcZVCCH+97//iQoVKghfX1+9Y2yOijqmrzK3gDp27JjOT2qys7NFjRo1RJMmTTRtiYmJIj4+Xuu1P/74owAgTp48qWm7dOmSsLS0NOinJGV2ug21Wo0WLVrgwoULGD16NFxdXfHLL7/g1q1bOHnyJP71r39p1vX09ASAAm+5k5CQgOrVq2PGjBkICwsr5urlVJQxTU1NRbVq1RASEgJfX1/Y2dnh/PnzWLp0KWxsbHDs2DHUrFnTBFtlekUZ14yMDPj6+uLu3buYMmUKqlatqtW3t7e3WV6FWtT//xMTE7FixQoAwObNm3H8+HFMnjwZAODh4YE+ffqU2LaYQo8ePRAbG4sRI0ZoJo49ceIEdu/ejVatWgEAWrdujf379+PVCMnIyMB7772HjIwMhIWFoVy5cpg1axbUajXOnj2Lt99+u3CFFDrSSpGUlBQxYMAAUaFCBWFrayv8/f21kj2Ph4eH8PDwKLCvmzdvmv0PdYUwfExVKpX45ptvRL169YSjo6MoV66c8PDwEAMGDBA3b94suQ2QlKHjmve9zO8RGhpachshmaL8/7937958x9Tf379kNsCEsrKyRFhYmKhcubJQKpXCz89PbN++XWsdf39/vXuWt2/fFkFBQcLR0VHY29uLjz/+WFy9etWgOsrsHhQREZVuZfaHukREVLoxoIiISEoMKCIikhIDioiIpMSAIiIiKTGgiIhISgwoIiKSEgOKiIikxIAiqbVu3RqtW7fWPE9ISIBCocCyZcs0bRMnTuSMxwXo1KkTBg4caJL31vd5Gdu4cePQpEmTYuufTIcBRUZ1/vx5BAUFwcPDAzY2NqhatSrat2+Pn3/+2dSlSWvVqlWYM2dOsfR9+PBh7NixA2PHjtW0paam4tNPP4WLiwu8vLywZMkSndedOnUKtra2uHnzZr59nz9/HgqFAidOnCiW2t/U8OHDce7cOfz5558mrYOMjwFFRnPkyBE0atQI586dw8CBAzF//nx8/vnnsLCwwNy5cw3qc8eOHdixY0eB60yYMKFUz5BanAE1Y8YMtG3bFjVq1NC0hYWFYd++fYiMjMTHH3+MgQMH4siRI5rlQgh8/fXXGD58OKpXr55v31u2bEHFihXh5+dXLLW/qcqVK6Nr166YOXOmSesg4ysVExZS6fDDDz/AyckJJ0+e1JlqPDk52aA+32RSSCsrK1hZyfNVzszMhK2tranLQHJyMrZs2aIzeeHmzZsxffp09O3bFwAQFxeHTZs2oXnz5gCA6OhoJCYmYvz48QX2v3XrVgQEBEhxeLVHjx4IDg7GjRs34OXlZepyyEi4B0VGc/36dfj6+uqEEwBUrFhR6/mLFy8wefJkeHt7Q6lUwtPTE+PHj9eZLvqf56D00XcOSqFQYOjQodi4cSPq1KkDpVIJX19fbN++Xef1+/btQ6NGjWBjYwNvb29ERUW98Xmt1q1bo06dOvj777/RqlUr2Nraav6w//HHHwgMDISbmxuUSiW8vb0xefJkqNVqrddv2bIFiYmJUCgUUCgUmukfgJfTZ0dERKBGjRpQKpVwd3fHmDFj9E6r/U9btmzBixcv0K5dO632rKwsuLi4aJ6/9dZbyMzMBAA8e/YM48aNw9SpU2Fvb59v36mpqThy5AgCAwO12vr16wcnJyc4OzsjNDQUqampOq+Ni4tDv3794OXlBRsbG1SuXBmfffYZHj9+rFln7969UCgUiI2N1Xn9qlWroFAocPToUU1b3jb+8ccfrxkVKk3k+WcnlXoeHh44evQoLly4gDp16hS47ueff47ly5cjKCgIo0aNwvHjxzF16lTEx8fr/aNkiEOHDiEmJgZffvklHBwcMG/ePHTv3h23bt1ChQoVAABnzpxBx44dUaVKFURGRkKtVmPSpEmFmrfm8ePHCAgIQM+ePdG7d29UqlQJALBs2TLY29tj5MiRsLe3x549e/Ddd98hPT0dM2bMAAD83//9H9LS0nDnzh3Mnj0bADTBkJubiy5duuDQoUMYNGgQatWqhfPnz2P27Nm4cuUKNm7cWGBdR44cQYUKFeDh4aHV7ufnh1mzZsHHxwc3btzA9u3bsXjxYgDQzCn1uvmO/vrrLygUCnTo0AHAy8OCXbt2xaFDhzB48GDUqlULsbGxCA0N1Xntzp07cePGDfTv3x+VK1fGxYsXsWjRIly8eBHHjh2DQqFA69at4e7ujujoaHTr1k3r9dHR0TrzXDk5OcHb2xuHDx/GiBEjCqydShGDJukg0mPHjh3C0tJSWFpaimbNmokxY8aIv/76S+Tk5Gitd/bsWQFAfP7551rtYWFhAoDYs2ePps3f319r/p28+Y+WLl2qaYuIiNCZlwaAsLa21pop9dy5cwKA+PnnnzVtnTt3Fra2tuLu3buatqtXrworK6s3mkU1b06chQsX6izTN/X6F198oTPleGBgoN75yFasWCEsLCzEwYMHtdoXLlwoAIjDhw8XWFuLFi1Ew4YNddrj4uJEtWrVNPMbde/eXajVanHjxg1Rvnx5cfTo0QL7FUKIPn36aH0uGzduFADE9OnTNW0vXrwQLVu21Pm89I3L6tWrBQBx4MABTVt4eLhQKpVas1cnJycLKysrERERodNHhw4dRK1atV5bO5UePMRHRtO+fXscPXoUXbp0wblz5zB9+nR89NFHqFq1qtYVVlu3bgUAjBw5Uuv1o0aNAvDy0JQxtGvXDt7e3prn9erVg6OjI27cuAHg5ayru3btwieffAI3NzfNejVq1EBAQMAbv49SqUT//v112suXL6/574yMDDx69AgtW7ZEZmYmLl269Np+169fj1q1asHHxwePHj3SPNq0aQPg5WGwgjx+/FjrUF6eunXr4urVqzh58iSuXr2KDRs2wMLCAqNGjUL37t3RtGlTxMTEoH79+qhevTomTZqkNWtqbm4utm/frnV4b+vWrbCyssKQIUM0bZaWlhg2bFiB45KdnY1Hjx6hadOmAIDTp09rlvXt2xcqlQobNmzQtK1duxYvXrxA7969dfp1cXHBo0ePChwTKl14iI+Mys/PDzExMcjJycG5c+cQGxuL2bNnIygoCGfPnkXt2rWRmJgICwsLrSvLgJdXYzk7OyMxMdEotbzzzjs6bS4uLnjy5AmAlxcRZGVl6dQBQG9bfqpWrar3Yo6LFy9iwoQJ2LNnD9LT07WWpaWlvbbfq1evIj4+Pt/DjW9y4YnIZz5SGxsbNGrUSPN8z5492LFjBy5fvozLly+jZ8+eiIqKgqenJ3r16gV3d3dNCJ88eRIPHz7UCqjExERUqVJF57zVq1Or50lJSUFkZCTWrFmjsw2vjouPjw/8/PwQHR2NAQMGAHh5eK9p06Z6Px8hhBQXbJDxMKCoWFhbW8PPzw9+fn5499130b9/f6xfvx4RERGadYr7j4mlpaXe9vz+aBvq1T2CPKmpqfD394ejoyMmTZoEb29v2NjY4PTp0xg7dixyc3Nf229ubi7q1q2LWbNm6V3u7u5e4OsrVKigCeOCqNVqfPPNNxg3bhyqVq2KyZMno3nz5ppA+uKLLxAdHa15vnXrVnh6eqJ27dqv7VufHj164MiRIxg9ejQaNGgAe3t75ObmomPHjjrj0rdvX3zzzTe4c+cOVCoVjh07hvnz5+vt98mTJ3B1dTWoJpITA4qKXd6/1O/fvw/g5cUUubm5uHr1KmrVqqVZ78GDB0hNTdU5qV9cKlasCBsbG1y7dk1nmb62wti3bx8eP36MmJgYtGrVStOu74ev+QW1t7c3zp07h7Zt2xoU5j4+Pvj9999fu96CBQuQkZGBsLAwAMC9e/e0Dnm6ubnh7t27mudbtmxBp06dtPrw8PDA7t278fTpU629qMuXL2ut9+TJE+zevRuRkZH47rvvNO1Xr17VW1vPnj0xcuRIrF69GllZWShXrhxCQkL0rnvz5k3Ur1//tdtLpQfPQZHR7N27V+/eSd45p7zDPXl/3P7549S8PYVXDx0VJ0tLS7Rr1w4bN27EvXv3NO3Xrl3Dtm3bitw3oL23lpOTg19++UVnXTs7O72H/Hr06IG7d+9qrrB7VVZWFp49e1ZgDc2aNcOTJ08059z0SUlJQUREBGbMmAEbGxsAQKVKlbTOkcXHx6Ny5coAXv4j4vTp0zqfUadOnfDixQssWLBA06ZWq3XuIKJvXADd70IeV1dXBAQEYOXKlYiOjkbHjh317iWlpaXh+vXrmt9yUdnAPSgymmHDhiEzMxPdunWDj48PcnJycOTIEaxduxaenp6aQ0T169dHaGgoFi1apDkUduLECSxfvhyffPIJPvzwwxKreeLEidixYwc++OADDBkyBGq1GvPnz0edOnVw9uxZg/tt3rw5XFxcEBoaiq+//hoKhQIrVqzQG+ANGzbE2rVrMXLkSPj5+cHe3h6dO3dGnz59sG7dOgwePBh79+7FBx98ALVajUuXLmHdunX466+/tM4j/VNgYCCsrKywa9cuDBo0SO863377LerWrYvg4GBNW/fu3TFp0iQMGTIEHh4eiIqK0vzjYevWrbCxsdH5jDp37owPPvgA48aNQ0JCAmrXro2YmBid4HV0dESrVq0wffp0PH/+HFWrVsWOHTsKvKVS3759ERQUBACYPHmy3nV27dqludSdyhCTXT9IZc62bdvEZ599Jnx8fIS9vb2wtrYWNWrUEMOGDRMPHjzQWvf58+ciMjJSVK9eXZQrV064u7uL8PBwrcuvhSjaZeZfffWVTo0eHh4iNDRUq2337t3ivffeE9bW1sLb21v8+uuvYtSoUcLGxua12+zv7y98fX31Ljt8+LBo2rSpKF++vHBzc9Ncdg9A7N27V7Pe06dPxX/+8x/h7OwsAGhdcp6TkyOmTZsmfH19hVKpFC4uLqJhw4YiMjJSpKWlvba+Ll26iLZt2+pdFhcXJ6ytrcWZM2d0li1btkx4enqKChUqiJEjR4oXL14IIYQICgoSnTp10tvf48ePRZ8+fYSjo6NwcnISffr0EWfOnNH5vO7cuSO6desmnJ2dhZOTkwgODhb37t0TAPRePq5SqYSLi4twcnISWVlZet87JCREtGjRouDBoFJHIYSRzxgTlQGffPIJLl68mO+5kdLi4MGDaN26NS5duoSaNWsWqa8XL16gQoUKmDp1Kr788ksjVfhm7+vm5obOnTvrvbFtUlISqlevjjVr1nAPqozhOSgye/+80ezVq1exdevW195iqTRo2bIlOnTogOnTpxe5r5SUFIwYMULnzg7FbePGjXj48KHm3oH/NGfOHNStW5fhVAZxD4rMXpUqVTT3hktMTMSCBQugUqlw5syZIu91kOGOHz+OuLg4TJ48Ga6urlo/4iXzwIskyOx17NgRq1evRlJSEpRKJZo1a4YpU6YwnExswYIFWLlyJRo0aFCsEx6SvLgHRUREUuI5KCIikhIDioiIpMSAIiIiKTGgiIhISgwoIiKSEgOKiIikxIAiIiIpMaCIiEhKDCgiIpLS/wMRTVuZVyHDCwAAAABJRU5ErkJggg==", "text/plain": [ "
" ] @@ -94048,7 +93883,7 @@ }, { "data": { - "image/png": "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\n", + "image/png": "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", "text/plain": [ "
" ] @@ -94064,7 +93899,7 @@ " confidence_level=68.2\n", ")\n", "\n", - "# Note the default confidence_level of 68.2 is appropriate if you would like to \n", + "# Note the default confidence_level of 68.2 is appropriate if you would like to\n", "# report a confidence interval analogous to the standard deviation of a normal\n", "# distribution. The size of the confidence interval is adjustable by setting the\n", "# confidence_level variable.\n", @@ -94107,7 +93942,7 @@ "outputs": [ { "data": { - "image/png": "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\n", + "image/png": "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", "text/plain": [ "
" ] @@ -94140,7 +93975,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.10.12" + "version": "3.10.14" } }, "nbformat": 4, diff --git a/docs/notebook_requirements.txt b/docs/notebook_requirements.txt index 8afe0f87a..ec068272b 100644 --- a/docs/notebook_requirements.txt +++ b/docs/notebook_requirements.txt @@ -10,18 +10,18 @@ decorator==4.3.0 defusedxml==0.7.1 entrypoints==0.2.3 html5lib==1.0.1 -ipykernel==4.8.2 -ipython==8.10.0 +ipykernel==6.29.4 +ipython==8.23.0 ipython-genutils==0.2.0 ipywidgets==7.3.0 jedi==0.16.0 -Jinja2==3.0.0 +Jinja2==3.1.3 jsonschema==2.6.0 jupyter==1.0.0 -jupyter-client==6.1.7 -jupyter-console==6.4.0 -jupyter-core==4.11.2 -jupyterlab-pygments==0.2.2 +jupyter-client==8.6.1 +jupyter-console==6.6.3 +jupyter-core==5.7.2 +jupyterlab-pygments==0.3.0 lxml==4.9.1 MarkupSafe==2.0.0 mistune==2.0.3 @@ -30,17 +30,17 @@ nbconvert==7.0.0 nbformat==5.1.0 nest-asyncio==1.5.5 notebook==6.4.12 -numexpr==2.8.0 -pandocfilters==1.4.2 +numexpr==2.10.0 +pandocfilters==1.5.1 parso==0.5.2 pexpect==4.6.0 pickleshare==0.7.5 prometheus-client==0.3.0 -prompt-toolkit==3.0.30 +prompt-toolkit==3.0.43 ptyprocess==0.6.0 pycparser==2.20 Pygments==2.15.0 -pyzmq==22.2.1 +pyzmq==26.0.2 qtconsole==4.3.1 Send2Trash==1.8.0 simplegeneric==0.8.1 @@ -49,7 +49,7 @@ terminado==0.8.3 testpath==0.3.1 tinycss2==1.1.1 tornado==6.3.3 -traitlets==5.0.0 +traitlets==5.14.3 wcwidth==0.1.7 webencodings==0.5.1 widgetsnbextension==3.3.0 diff --git a/docs/sphinx/source/api.rst b/docs/sphinx/source/api.rst index 3b12d3a7f..7a9556c99 100644 --- a/docs/sphinx/source/api.rst +++ b/docs/sphinx/source/api.rst @@ -9,14 +9,14 @@ Submodules ========== RdTools is organized into submodules focused on different parts of the data -analysis workflow. +analysis workflow. .. autosummary:: :toctree: generated/ analysis_chains degradation - soiling + soiling availability filtering normalization @@ -41,8 +41,9 @@ Object-oriented end-to-end analysis analysis_chains.TrendAnalysis.plot_soiling_interval analysis_chains.TrendAnalysis.plot_soiling_monte_carlo analysis_chains.TrendAnalysis.plot_pv_vs_irradiance - - + analysis_chains.TrendAnalysis.plot_degradation_timeseries + + Degradation =========== @@ -71,6 +72,10 @@ Soiling annual_soiling_ratios SRRAnalysis SRRAnalysis.run + soiling_cods + CODSAnalysis + CODSAnalysis.iterative_signal_decomposition + CODSAnalysis.run_bootstrap System Availability @@ -81,7 +86,7 @@ System Availability .. autosummary:: :toctree: generated/ - + AvailabilityAnalysis AvailabilityAnalysis.run AvailabilityAnalysis.plot @@ -95,15 +100,22 @@ Filtering .. autosummary:: :toctree: generated/ - + clip_filter quantile_clip_filter logic_clip_filter xgboost_clip_filter + clearsky_filter csi_filter + pvlib_clearsky_filter poa_filter tcell_filter normalized_filter + two_way_window_filter + insolation_filter + hampel_filter + directional_tukey_filter + hour_angle_filter Normalization @@ -120,7 +132,6 @@ Normalization irradiance_rescale normalize_with_expected_power normalize_with_pvwatts - normalize_with_sapm pvwatts_dc_power sapm_dc_power delta_index @@ -161,8 +172,10 @@ Plotting :toctree: generated/ degradation_summary_plots + degradation_timeseries_plot soiling_monte_carlo_plot soiling_interval_plot soiling_rate_histogram availability_summary_plots - tune_filter_plot \ No newline at end of file + tune_filter_plot + diff --git a/docs/sphinx/source/changelog.rst b/docs/sphinx/source/changelog.rst index 8b5fe59ff..44078cb12 100644 --- a/docs/sphinx/source/changelog.rst +++ b/docs/sphinx/source/changelog.rst @@ -1,10 +1,14 @@ RdTools Change Log ================== +.. include:: changelog/pending.rst +.. include:: changelog/v2.2.0-beta.2.rst +.. include:: changelog/v2.2.0-beta.1.rst .. include:: changelog/v2.1.8.rst .. include:: changelog/v2.1.7.rst .. include:: changelog/v2.1.6.rst .. include:: changelog/v2.1.5.rst .. include:: changelog/v2.1.4.rst +.. include:: changelog/v2.2.0-beta.0.rst .. include:: changelog/v2.1.3.rst .. include:: changelog/v2.1.2.rst .. include:: changelog/v2.1.1.rst diff --git a/docs/sphinx/source/changelog/pending.rst b/docs/sphinx/source/changelog/pending.rst new file mode 100644 index 000000000..16cc3ee6e --- /dev/null +++ b/docs/sphinx/source/changelog/pending.rst @@ -0,0 +1,37 @@ +******* +pending +******* + +Breaking changes +------------ +These changes have the potential to change answers in existing scripts +when compared with older versions of RdTools + +* Use the pvlib method for clear sky detection by default in :py:func:`~rdtools.analysis_chains.TrendAnalysis` (:pull:`412`) + +Enhancements +------------ +* Added a new wrapper function for clearsky filters (:pull:`412`) +* Improve test coverage, especially for the newly added filter capabilities (:pull:`413`) +* Added codecov.yml configuration file (:pull:`420`) + +Bug fixes +--------- +* Fix typos in citation section of the readme file (:issue:`414`, :pull:`421`) + +Requirements +------------ +* Specified versions in ``requirements.txt`` and ``docs/notebook_requirements.txt`` have been updated (:pull:`412`) +* Increase maximum version of pvlib to <0.12 (:pull:`423`) +* Update fonttools version to 4.43.0 in ``requirements.txt`` (:pull:`404`) +* Update jinja2 from 3.0.0 to 3.1.3 in ``notebook_requirements.txt`` (:pull:`405`) + +Deprecations +------------ +* Removed :py:func:`~rdtools.normalization.sapm_dc_power` (:pull:`419`) +* Removed :py:func:`~rdtools.normalization.normalize_with_sapm` (:pull:`419`) + +Contributors +------------ +* Martin Springer (:ghuser:`martin-springer`) +* Michael Deceglie (:ghuser:`mdeceglie`) diff --git a/docs/sphinx/source/changelog/v2.1.0.rst b/docs/sphinx/source/changelog/v2.1.0.rst index 55ebe4276..e8cf81c21 100644 --- a/docs/sphinx/source/changelog/v2.1.0.rst +++ b/docs/sphinx/source/changelog/v2.1.0.rst @@ -1,6 +1,6 @@ -************************ +*************************** v2.1.0 (September 17, 2021) -************************ +*************************** API Changes ----------- diff --git a/docs/sphinx/source/changelog/v2.2.0-beta.0.rst b/docs/sphinx/source/changelog/v2.2.0-beta.0.rst new file mode 100644 index 000000000..aa122bc5a --- /dev/null +++ b/docs/sphinx/source/changelog/v2.2.0-beta.0.rst @@ -0,0 +1,33 @@ +********************************** +v2.2.0-beta.0 (September 14, 2022) +********************************** + +Enhancements +------------ +* Specifying ``detailed=True`` in :py:func:`rdtools.plotting.degradation_summary_plots` + now shows the number of year-on-year slopes in addition to color coding points + (:issue:`298`, :pull:`324`) +* The Combined estimation Of Degradation and Soiling (CODS) algorithm is implemented + in the soiling module and illustrated in an example notebook (:pull:`150`, :pull:`333`) +* Circular block bootstrapping added as a method for calculating uncertainty in + ``degradation_year_on_year()`` via the ``Uncertainty_method`` argument (:pull:`150`) +* New plotting functions :py:func:`rdtools.analysis_chains.TrendAnalysis.plot_degradation_timeseries` + in TrendAnalysis object and :py:func:`rdtools.plotting.degradation_timeseries_plot` + to plot time series degradation trend. (:issue:`334`, :pull:`335`) + +Testing +------- +* Added a CI notebook check (:pull:`270`) + +Requirements +------------ +* Upgrade the notebook environment from python 3.7 to python 3.10. + (:issue:`319`, :pull:`326`) +* Bump ``sphinx`` version from 3.2 to 4.5 and ``nbsphinx`` version + from 0.8.5 to 0.8.8 in the optional ``[doc]`` requirements (:pull:`317`, :pull:`325`) +* ``arch`` and ``filterpy`` added as dependencies (:pull:`150`) +* minimum version of ``numpy`` increased to 1.16 and minimum version of + statsmodels increased to 0.11.1 (:pull:`150`) +* A number of updates to the environments specified in ``requirements.txt``, + ``requirements-min.txt``, and ``docs/notebook_requirements.txt`` + (:pull:`326`, :pull:`314`, :pull:`337`) diff --git a/docs/sphinx/source/changelog/v2.2.0-beta.1.rst b/docs/sphinx/source/changelog/v2.2.0-beta.1.rst new file mode 100644 index 000000000..db65e0e67 --- /dev/null +++ b/docs/sphinx/source/changelog/v2.2.0-beta.1.rst @@ -0,0 +1,7 @@ +******************************** +v2.2.0-beta.1 (December 7, 2022) +******************************** + +Enhancements +------------ +* Added framework for running aggregated filters in ``analysis_chains.py`` (:pull:`348`) diff --git a/docs/sphinx/source/changelog/v2.2.0-beta.2.rst b/docs/sphinx/source/changelog/v2.2.0-beta.2.rst new file mode 100644 index 000000000..32fa3da27 --- /dev/null +++ b/docs/sphinx/source/changelog/v2.2.0-beta.2.rst @@ -0,0 +1,23 @@ +******************************** +v2.2.0-beta.2 (December 1, 2023) +******************************** + +Enhancements +------------ +* Return CODS results without bootstrapping when soiling signal + is small but raise warning ``soiling.py`` (:issue:`367` :pull:`400`) + +Bug fixes +--------- +* Fix flake8 missing whitespaces ``bootstrap_test.py``, ``soiling_cods_test.py`` (:pull:`400`) +* Specify dtype for seasonal samples ``soiling.py`` (:pull:`400`) +* Update deprecated `check_less_precise` to `rtol` ``soiling_cods_test.py`` (:pull:`400`) + +Requirements +------------ +* Bump arch to 5.6.0 in ``requirements.txt`` + +Contributors +------------ +* Martin Springer (:ghuser:`martin-springer`) +* Michael Deceglie (:ghuser:`mdeceglie`) \ No newline at end of file diff --git a/docs/sphinx/source/examples.rst b/docs/sphinx/source/examples.rst index 3d7b3a58b..20f52b11e 100644 --- a/docs/sphinx/source/examples.rst +++ b/docs/sphinx/source/examples.rst @@ -25,3 +25,4 @@ This page shows example usage of the RdTools analysis functions. examples/degradation_and_soiling_example_pvdaq_4 examples/TrendAnalysis_example_pvdaq4 examples/system_availability_example + examples/cods_example diff --git a/docs/sphinx/source/examples/cods_example.nblink b/docs/sphinx/source/examples/cods_example.nblink new file mode 100644 index 000000000..126686f76 --- /dev/null +++ b/docs/sphinx/source/examples/cods_example.nblink @@ -0,0 +1,3 @@ +{ + "path": "../../../cods_example.ipynb" +} \ No newline at end of file diff --git a/docs/sphinx/source/index.rst b/docs/sphinx/source/index.rst index c26c24044..e28181540 100644 --- a/docs/sphinx/source/index.rst +++ b/docs/sphinx/source/index.rst @@ -327,6 +327,5 @@ Indices and tables .. links and references - .. _release: https://github.com/NREL/rdtools/releases .. _github: https://github.com/NREL/rdtools diff --git a/docs/system_availability_example.ipynb b/docs/system_availability_example.ipynb index 5a44b3ef5..bd860b68b 100644 --- a/docs/system_availability_example.ipynb +++ b/docs/system_availability_example.ipynb @@ -49,7 +49,7 @@ "def make_dataset():\n", " \"\"\"\n", " Make an example dataset with several types of data outages for availability analysis.\n", - " \n", + "\n", " Returns\n", " -------\n", " df_reported : pd.DataFrame\n", @@ -61,7 +61,7 @@ " expected_power : pd.Series\n", " An \"expected\" power signal for this hypothetical PV system, simulating a\n", " modeled power from satellite weather data or some other method.\n", - " \n", + "\n", " (This function creates instantaneous data. SystemAvailability is technically designed\n", " to work with right-labeled averages. However, for the purposes of the example, the\n", " approximation is suitable.)\n", @@ -100,7 +100,7 @@ " full_outage_date = '2019-01-08'\n", " df_secret.loc[full_outage_date, :] = 0\n", "\n", - " # calculate the system meter power and cumulative production, \n", + " # calculate the system meter power and cumulative production,\n", " # including the effect of the outages:\n", " df_secret['meter_power'] = df_secret.sum(axis=1)\n", " interval_energy = rdtools.energy_from_power(df_secret['meter_power'])\n", @@ -112,7 +112,7 @@ " # calculate cumulative energy for an inverter as well:\n", " inv2_energy = rdtools.energy_from_power(df_secret['inv2_power'])\n", " df_secret['inv2_energy'] = inv2_energy.cumsum().fillna(0)\n", - " \n", + "\n", " # now that the \"true\" data is in place, let's add some communications interruptions:\n", " df_reported = df_secret.copy()\n", " # in full outages, we lose all the data:\n", @@ -139,7 +139,7 @@ "outputs": [ { "data": { - "image/png": "iVBORw0KGgoAAAANSUhEUgAAAuIAAAIbCAYAAACufvvuAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjUuMCwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy8/fFQqAAAACXBIWXMAAA9hAAAPYQGoP6dpAAEAAElEQVR4nOydd5gkVdX/P1VdHSfnsDOb8y7LwgLLLlkQlpwMRBER/fmCvIrpRVQUUBQRAQO8gooICIi8KjksYYGFhU1szjs7OYfunp7O9fvjVnX37OSZnunqsT7PM0/Ndt/uvTVVde+5557zPZKqqiomJiYmJiYmJiYmJhOKnOoOmJiYmJiYmJiYmPwnYhriJiYmJiYmJiYmJinANMRNTExMTExMTExMUoBpiJuYmJiYmJiYmJikANMQNzExMTExMTExMUkBpiFuYmJiYmJiYmJikgJMQ9zExMTExMTExMQkBZiGuImJiYmJiYmJiUkKMA1xExMTExMTExMTkxSgpLoDJsMnGo1SX19PVlYWkiSlujsmJiYmJiYmJiaHoaoqHo+H8vJyZHlwn7dpiKcR9fX1VFZWprobJiYmJiYmJiYmQ1BTU0NFRcWgbdLKEH/ggQdG/Jlrr72WrKyscejNxKOfR01NDdnZ2SnujYmJiYmJiYmJyeG43W4qKyuHZX9KqqqqE9CnpCDLMhUVFVgslmG1r6mpYc+ePcycOXOcezYxuN1ucnJy6OrqMg1xExMTExMTExMDMhJ7La084gDr16+nuLh4WG0niyfcxMTExMTExMRk8pFWqim33XYbmZmZw27//e9/n/z8/HHskYmJiYmJiYmJicnoSKvQlP90zNAUExMTExMTE5NR8PYv4J2fQ+kSuP4tGELNZCyMxF5LK484CK/4mjVrCAaDqe6KiYmJiYmJyX8CniZYfQfsejHVPTEZDS174O27QI1Cw2Z4845U9yhG2hnijz32GKeeeiq5ubmcfvrp3Hnnnbz//vuEw+FUd83ExMTExKQvqgqH1kLjtlT3xGQ0RKPw+KXw7j3w1JWw/61U92j88DTCu78Cf1eqe5Jc1v8RSAgAqd+Usq4cTtoZ4gcPHuTAgQP87ne/o6KigkceeYSTTjqJvLw8Vq1axS9+8Qs++uijVHfTxMTExGS4PPdV+PlUeP83qe7J+LD6dvjz2fCHU6HqvVT3xmSkrLkbmrZq/1DhtVtT2p2k42mCxz8D6/5XHFffDtv/L9W9Si57XxfHM34ijlXvQbA7df1JIO0McYDp06dz7bXX8pe//IWqqir279/P/fffT3FxMT/72c9YuXJlqrtoYmJiYjIc1j0MW54SHri3fgpdtanuUXJp3QdrtQVGNAQvfCOl3TEZBVueFsfsKeLYtB3aDqSuP8lm/2rY9zp88jdY8lmYcTI4J5HQRfU6aN8PkgWO+RJkV4hnscYYTtu0NMQTOXToEGvWrOGdd95hzZo1hEIhTj755FR3a/LQtAM2P2mYlWPS2f8W/PEsePVWsX1sYmIysex/Pf57uEeMN5OJN+8Qk75NU/xq3Wt6xdMJVYXuVvH7cV8Fi138vu+N1PUp2ZQfDZ++A1bcCCf8N1zzPCy8INW9Sh47/y2OFhs4sqH0CPHvTY+nrk8JpJ0hXl1dzWOPPca1117LjBkzWLx4MU8++STz5s3j8ccfp7OzkzfffDPV3Zwc1HwED50I//wa/O54ESc3mWjZDU9dATUfwge/jXs9TExMJoaQHw6+K34//r/Ecfs/U9adceHQ++I4dQXYNfWEfatT1x+TkdFVAwE3yAos/yosvUK83nEwtf1KJsXz4YSb4IjPpLon44PfLY5lmgEuSeJokAVx2hni06dP50c/+hHz58/n6aefprOzk1dffZXvf//7nHjiidhstlR3cfLw5p2gRsTvXdWw7dnU9ifZvPETCPni//7gd6nri4nJfyK1H4lnMKsMTvymeK15O7RPEiMnGoVwQPy+8utw7PXid3d96vpkMjL0pL7ihWB1QOVy8e+GLanr00QQjUCoJ9W9SA4e7Xlb8nlxnHmqOEaMob6Xdob45z73OQKBAL/4xS+48847ue+++9i4cSOmHHqScTdCleapytAqmR5am7r+jAeN2kA67cT4v+uMk0ltYjLp0aXgKo6FzGKQreLfm59IXZ+SScdB4U1VHDBtpfgBqP04tf0yGT76tSpfKo4li8Sxaevk2CXubhMx1Hr4DcBbd8FdFfHchnSnbZ84Fs0XxyM+K4497RDwpqZPCaSdIf7UU0/R0NDA2rVrOfvss/noo48455xzyMvL47zzzuOXv/wlH39sDnJj5t17hN5mVhmc/QvxWu361PYpmYT8QqYJ4Oyfg+IUv+uxZCYmJuPPjn+JY9gvjsULxNHbnJr+JBvdm1p6BFis8djU9gMQ9A38ORPjsFXbCQ5p92jhXEASycWTYU6sWgN/OhP+dnn8NZtL7FQ170xdv5JFyA+dNeL3vBni6MoHV4H4vT31SbdpZ4jrzJ8/n6997Ws8/fTTNDY2snbtWpYuXcqdd97JihUrUt299Kf6A3HMKBSxjSC2jPVYq3SncYtIoHIVQsliWHiheH2yJqWamBiRgEccp58kjvrWcU9HavqTbPSFvatQHDOLtWQ/Nb4IMTE2+r2YP1McrQ6xqAJhxKY7kRDkVELB7PhrR14ON26Ai/83df1KFjUfxUNss0rjr+fPEseW1C82lFR3YCw0NTXx9ttv8/bbb/PWW2+xZ88e7HY7J510Uqq7lv5I2hpt8Wcguwxypoo48X1vwOJLUtu3ZFC3QRwrjhWJG7PPEBJqBhL5NzGZ1ERC8RhUPUmsZKE4Nu9ITZ+STd1GcdQNAUkCqxMiAZEotvTygT9rknpUNT4Xzjs7/nr50SLJX7Gnpl/JZMnnxE9ieG9msfiZDOj67xYbyJb467oTYPOTcQdAikg7j/gzzzzDf/3Xf7Fw4ULKy8u55ppr2LZtG5/73OdYvXo1nZ2dvPXWJK56NRFEI0JRBGDB+dprIXHcOkkSNnWJNKtDHPW4v5ZdpoyhiclE0FktDFTFKULgQCTEweQJ3ZA1X1fl8fHXZmjyus6cie+PycjwNosQDUmOh00BVBwjjl11qenXeKAriUw29MXSjMNkrfWFRmf1xPanH9LOEL/qqqvYvHkzF198Ma+++iodHR28++673H777Zx22mnY7SNfoa5Zs4bzzz+f8vJyJEnin//8Z6/3v/jFLyJJUq+fVatW9WrT3t7OlVdeSXZ2Nrm5uVx33XV4vb2TALZs2cJJJ52Ew+GgsrKSu+++e8R9nRA6qoTHRnFC3nTxmr4t554kA0/nIXF05IpjwWwx2AbccW+5iYnJ+KHHZubPjBsBmSWAJPJTdNm/dEYPa5iXMF9M1YzyyWTETVZ0icLsit7e7wItrKF9/8T3aaLY+qxQTmvdl+qejA1dgalwXu/XF2g66TkVE9uffki70JSOjg4yMjIGbdPT04PT6Rz2d3Z3d3PkkUfypS99iUsu6T/sYtWqVfz5z3+O/ftwg//KK6+koaGB119/nVAoxLXXXstXvvIVnnxSeF7dbjdnnnkmZ5xxBg899BBbt27lS1/6Erm5uXzlK18Zdl8nhD2viWNORXwrZ9m1YmKU0m7t1j96jN/s08VRsQnFhkgA9r4R93iYmJiMD7puf6InTpKEwRP2i7COOZ9OTd+Sga8d/J3idz1JDOJODQMkiZkMwe5XxPHw3Qvdm9rwycT2J9mEeuDP5wiH20UPxneIAT7+I1SvFTsBhbMH/ArDoxvi+TN6v140VxzdDRPbn35IO0NcN8JvuukmHnjggT7vd3d3c955540oPOXss8/m7LPPHrSN3W6ntLS03/d27tzJK6+8wscff8wxxwgD7je/+Q3nnHMO99xzD+Xl5TzxxBMEg0H+9Kc/YbPZWLRoEZs3b+bee+81niG+TzPEI4H4a6WLxbFtvxY3l8bbWMHuuFTTtBPirxfNhcatoIZT0y8Tk/8kdEWGw+Nsp58oclEc2RPfp2TStF0cs8qFCoVOzlRxbNkt5O/kSeLcmIzUfCiO4cP0pvXqmt6mie1PsumogvqNYl4//Dmcf47I2cidlpKuJQ19Z02vbKuTPUUc3XUpt2nSdgR48cUXue2223q91t3dzapVqwiHk29Ivf322xQXFzNv3jy+9rWv0dbWFnvvgw8+IDc3N2aEA5xxxhnIssy6detibU4++eReBYfOOussdu/eTUdH/woBgUAAt9vd62dCiGjx4IkxcXqISqBLeHrSGd0T5cwXMkY6M08TRz2Jw8TEZPxwaF7GWaf3fl3P1+iomtDuJJ0d/xTH0GGx7lkl4hgJTJ5Qv8mKvgNcflTv18uOjP/ubSVtyS6Hzz8hJHwPN0RXfh3O/VX67w7ru1IZhb1f1/NSQj5RPTWFpK0h/tprr/Hwww9z3333AeDxePj0pz+NJEm88sorSf2/Vq1axWOPPcbq1av5xS9+wTvvvMPZZ59NJCIy4RsbGyku7p1hrCgK+fn5NDY2xtqUlJT0aqP/W29zOHfddRc5OTmxn8rKyqSe15AsujT+u9UZX1HufW1i+5Fs9LK2h8eG6VtXk6Wqn4mJkfFoW8KHJ1Fla89luhup+oL/cAMgozCexNlxaGL7ZDIy9MqL88/p/XpmcXwh6WuZ2D4lE0cOLDgPll6R6p6MD4lyy6VLer9ncwHa4qN+80T1qF/SLjRFZ9asWbzyyiucdtppyLLM3/72N+x2Oy+++OKQMeQj5bLLLov9fsQRR7BkyRJmzZrF22+/zemnnz7IJ8fGLbfcws033xz7t9vtnhhjXPdE6V5wHd07ULchvWW39rwqjoHDdhjytNhNXTHGxMRkfIhG4moFesy0jkXbNUz3pOmscnFceFHf94rmQ9M2iPgntEsmI0Qv+qZfy0Syp4iiPu663rvHkwlVhaAX7Fmp7sno6NYWSbbM+E5UIhkFIkzV3zWx/TqMtPWIAyxZsoQXXniB73//+7hcLl5++eWkG+H9MXPmTAoLC9m3T2QTl5aW0tzcuxJcOBymvb09FldeWlpKU1PveDL93wPFntvtdrKzs3v9jDvhAHTVit8PN8T1Er+Kg7QmqKnZ6JnvMTTZws6qyVG62MTEqHQchGhYLO6zDhv/9FhVT/87hWmD7vHvM84gQgIA3PUT1x+TkRGNJhji/czRsRjjNL6G9ZtFwZv+Cmg1boOflcNvj5vwbiUN/Rns7/oBTNHCbqKpzQtLK4/4UUcdhdRPQL3dbqe+vp4TTogn3m3cuHHc+lFbW0tbWxtlZSLGaMWKFXR2drJhwwaWLVsGwJtvvkk0GmX58uWxNrfeeiuhUAirVSh2vP7668ybN4+8vLxx6+uIqfkIYZBKfQX9K4+Hg2sglObVJ62aos4Rh4n4J8b9eRogZ8rE9cnE5D+JxNLgiUU2AMq0eFxVhUgYLGk1TcUZ1IgzDXHD07Y/Xj8jMZdIp0fLE9v6dzj6CxPXr2Ty5p2w73W44Dd9zyGjUMRPhwPp+xy27hXHjKL+3zfIc5hWf9mLLrpoXL7X6/XGvNsABw8eZPPmzeTn55Ofn89PfvITLr30UkpLS9m/fz/f/e53mT17NmeddRYACxYsYNWqVVx//fU89NBDhEIhbrzxRi677DLKy8WFvuKKK/jJT37Cddddx/e+9z22bdvG/fffz69//etxOadRoysZyJa+yRvZWnKDAeR+xoTef/18dFz54MwT3gF/l2mIm5iMF7Et4362vIvmihjqaFioUqTrc9iuzSlWV9/3ujUjbttzcOr/TFyfTIZPrPS5BLZ+dtqtWs5UOi+mMoogd2rcu9/rvWK4aZNIakxHIxziYaj6Lv/h6Ofdkdq8sLT66x6ukpIs1q9fz2mnnRb7tx6Xfc011/Dggw+yZcsW/vKXv9DZ2Ul5eTlnnnkmd9xxRy8t8SeeeIIbb7yR008/HVmWufTSS3vJK+bk5PDaa69xww03sGzZMgoLC/nRj35kPOlCPQFFr3CXiEtLOmrbO3H9GQ+Givvr6QBPfbzctomJSXLRDZvpJ/R9T5bFs9lVLYycdDTEe7qEJxG0IkWHEUv0S2PFjcmOLjlZOLf/9+ecAVVr4l7VdOTiBwd+T5b75m+kG7piiqug//d1W2DfGxPSnYFIK0N8vDj11FNRBylr/uqrrw75Hfn5+bHiPQOxZMkS3n333RH3b0LRPVWFc/q+p8satqVxNTF3AwQ1ecL+thuzykQSVTp7OUxMjE5sMVzW//vZmiHefgAqj524fiUL/fwkS/86zLNOh82PCwlVE2OiX8PcAQQSSrTaGt3mYsqw6Mpoi/ov1Bi7tsHUhtumVbJmfn4+ra3Dv+mnTp3KoUOmPNSIiCU39DNB6kV9UEVFrnSkcWv89/4McT1pY0+aSzSamBgZfaE7kCGuj0M7/jUx/Uk2uicut7L/gj2lmlZ6d3Pf90yMgX4PZg6Q6KeHNXSluczmYOx9HVbfAQfeSXVPRoe+mBpo12L6SeKYYlWYtPKId3Z28vLLL5OTkzN0Y6CtrS2m9W0yTGo/EkeLve97hXOFtFgkCN5myEvDiluqpobSX0wcxJNzWnZNTH9MTP4T2b9aHAeSDXPmQeehuDGUbgzm0IC4YeDvgoAX7Jn9tzNJHXq9CXUABS1dzCDQJa6jY3h2iWFo3Aov3CwcbOcNkKu251X4+GHx+8xTJq5vyWKwhGmIe8x97SlNSE0rQxxE3LbJOKIna/anjCJJYmLRJ8h0NMR1T1XB7P7frzhODMDpNqiamKQTenXegcrYLzgPGjb3lVBNF9q18L2BDAB7FihOCPdA8w6oTGOJuMlKs+aMCQ+w++vIjf/esjv9rmHHIeF4UwdxVk4/EVDTt7qmnoQ5kOSyMx9R1EeFnva+SnETRFoZ4lFT23n80Yv2lBzR//vZ5cIQT9cYar3fA21VTTsB3rsXwmahDROTcUNxiGds6or+39eTxNJVS3zXS+LYdmDgNvruW8Mn6WfE/Segy9yWLe3/fVmO38f96XAbnYpj4HN/jev298eii8RPOuJtiYeaHl5FW8eiiKTcYLfIDcv81MT1L4G0ihE3GWdUFUKaATrjxP7b6Abqrhcnpk/Jpn6TOA4UExaTaEzThYaJidEJB+M7U/2pM4GQToP0VRXRz6+/an46Tq1+RLrm20x2dHGC6QPMhRAXNZDS0JTKKoWFF8Dcs1Ldk/HBp0mEykpfqeJE9OucmD82waTh3WMybvR0QESX3BpgS1VXl2nb1//7RkePgfcOkCSlSxr2tIPfMzF9MjH5T8KrVRiWrf0nTEO8zH1nmibb6zkoC84fuE2F5gXvT6PaJLWoalxBbKBiMInv6W0nI6oKgTScC/Xw2oHyNHRi7/ctFjlRmIa4SRxd9N6ZD9YBYqqmaVvJgw1ORkZfSAykDZsYG968Y/z7Y2Lyn0bLbnF05vUtGqbjzBXHcCA9Pca6pN1AW+IgKhdC3HNnYhwC7rhTSr9O/REzxNNw56ZuA1R/GM/X6I/2A3BnMdybhjU19KJZAy32daYcLY764j8FmIa4SZy9ml56JDhwm3LtptUHqXRDV4OZc2b/78uy0P6FgatxmZiYjJ7aj8VxMC9b3gxiHqqBdq+MjB5SM1AhEYgbeJPZm5quJIYpDLZjoc8RO/89vv0ZD16/Df50Fux/c+A2znxhDwTc8bDVdKGjShyHEl4wwK5GWhri4XCYxx57jKamplR3ZXKh66HKg+Tw6hNLd5p6cfQJMmOQCbJE0/hNsbaoicmkRFeh0L3e/aHY4mNNum2LR6PxxYPiHLidPt7ufmX8+2QyMjqrxVF3ygyErsaRjh7xrFKhStRf5VcdRw58Yyt8v2HgXXKjoi8w2qsGb6dXDE+hVGpaqaboKIrC//t//4+dO3emuiuTC12OsHL5wG10ySZPGiYzBn0Q8onfXYNtN+pbxmk4uJqYGB392dOLaQxERpF4BtPtOeyqAbQQuMHk0HTpxsAAWuomqUO/R4vmD95u5qlCEz936rh3Kelc+sjQbSQpPc8NIOgVx6E84u2aslEKy9ynpUcc4LjjjmPz5s2p7sbkQi+uMZh2r54d3tMhBPDTiaZt2i/S4N7udI77MzExOrFdqUEWw4nvp1vlQn0cla2De/2naWoc6ZpvM5nR4/YHU72BeK7RQIWpTFJH/gxxXHDB4O30a5zCMvdp6REH+K//+i9uvvlmampqWLZsGRkZveO4lixZkqKepTHdw5ggdbkmEFs5uZXj26dk0qYV2ZCkgZPEQMTDARx4G064ady7ZWLyH4Vu5AwWPw3xGM/dL8FRV45rl5KKLvE6mGQaQMEscezpHNfumIyC4cT4w3+G02bXi1C3UcgcppPevZ6EOlgYKohdjffvT+mCOG0N8csuuwyAm26KG0qSJKGqKpIkmaXtR8NwdDTtmWDPEdup6aZmYHOJY+4QFUHDWiKqXpXLxMQkeRx4Rxy7h0jCtGuhG+lm5Oj9HSz8DeITf087RCMgDxGPbDJxVH8ojuEhRAn0nVVvo8gNkNMkyKDjEDx3PeRUwmf+OHjbHf+CLU+LEI+0MsSHueDP0UJvUjjOpK0hfvCgaSQlHV0bfKjkqIxCYYj7WoEBZACNSFCLDx+qbHb50SLRQy+4YWJikjx6NE/VQGWndeaeBc3boWje+PcpmehKGkMZALqsmhoVceVDjUsmE0eLVt5+qJATfY6IhoU+/lC7IEbB2wQ164ZXuXbWp4QRXjpAtW2j0qzlEA6mAgfx5zDoEcXGlImXMUxbQ3zatCG8miYjR1dLGUhjWyejENr3p5+narixqVOWiaOuOW5iYpI8HLkiHrNiCO+aHvaWbuOMLgPbtnfwdhYrQqJRhabtpiFuJHRPd8kQ+tmZRSJvSo2KUM10McQLZovy9sPhyMvET7qhL6IGUy4CLZlTew47D/UOv50g0mQfpX/++te/csIJJ1BeXs6hQ6IC23333ce//vWvFPcsTdENz8FUUwD8Wgz1vtfHtz/Jpmm7OA4l3P+fEPdnYpIqApqawVALfleaqhfpBoCuMDUY9kztM+5x647JKNDniKkrhm6rV1FNJ8eNK1+Ut184RCJjuhJNCE0uWTB428SQsNbUVAxPW0P8wQcf5Oabb+acc86hs7MzFhOem5vLfffdl9rOpSPhYFxGayiPcVRTSxlKn9No1Gjl7d1DqDA4ta2qoWJYTUxMRsZIxhldw1mvxJkuFGgetfnnDt22RNvuV+zj1x+TkROLLx7iHoW4Mk5Px7h1J+WoanoV9OnpJCYhOlROGMSlRKNDhLGME2lriP/mN7/h4Ycf5tZbb8Viia9ojjnmGLZuHUbSoUlv9IFHsgztydFDN7JKx7VLSUeXXswZQhdVT+oM+8FrVr0zMUkaXTXiKMlDjzMWqzj6O8ezR8knJn03jPFRjzFOt3Oc7OhVFoeK84f4NUwnQ7x5p0hIHU7V2qr34Y5C+MOp496tpKE/g46c+DgC/OT57Rx9x+tc9+jHRKPRePuC2eIoW0kFaWuIHzx4kKOOOqrP63a7ne7u1OlBpi16lrgkDZ35Xb5UHKNppiOuey7mDlDeXiex0pguoWZiYjJ2dGUmVR16nNHl/SC9ahYMIH0XjfYTupCORtxkJ+RPSNKMy9ze9dJOFvzwFU675y2a3Qne4ViF1Jcnro9jZe1vRHn7TY/HXvqkppNAuB+1OXummOvTabHYpVVGTRBcWLu/lUffr6K9O8jqXc38+Pkd8fYpfg7T1hCfMWNGvwV9XnnlFRYsGCImyKQvnSLGfsiSvpC+sZvDlRWTZcguF79LafuImEwi9jWnWZn3gdANHH3XSeNfm+u45bktfHigLf5i4pZyII1iqFv7Jmm+vLWBxT9+lU/d8zY7GxLOpbNKHNPJiJvsJIZcatWmt9V18cf3DtITinCw1cdNT22Kt9FjjNMplNGRC/kzY/Ht3YEwV/9xHZf8fi0tnsMkG4sWwDd3wNc3THw/R0vV++KYsKN9/xt7SVwKv7ytkXBE84rrhniK8sLS1sq4+eabueGGG3j66adRVZWPPvqIn/70p9xyyy1897vfTXX30g/dC1yyqNfL4UiU7sBh3ig9waizegI6lkT07aqE2NR2b5D/fWc/Ne2+3m11b1aae6p6ghHue2MPP/znNrbXTb7qb9Goyk+e385Rt7/Gt//+Sf8enTTn16/v4cxfr8EXTCOv8EDoY0fZ0thLbn+IX722h799VMMj7x6MT44WJa4lnk7Pob5oSEgKf2V7I75ghAOt3Xz1rxsIhrVz1LfC9eIjJqlH36mxZ4NVSGw+9M5+wlEVm0W899HBdhq7NK/4tBPEMXEHx+is+hnctAmO/DwAuxrdqIAvGCHHaeW9va088q5W+l2xQc4UsGUM/H1GQ1/wa9evqrWbdQfbscgS7373NAoybLR4AryzRzPU9TyU3S+loLNpbIh/+ctf5he/+AU/+MEP8Pl8XHHFFTz44IPcf//9sWI/JiNAv3Fz4/HT+5q9nPLLt1nyk9f4+pMb4211nfF0MsQD3oQJUiRGNbn9rPj5au56eRdn3PtOb2/cJNky/t4/tnDfG3v564eHuOj37+P1TwJjLoFfvrqbP79fRYcvxLMbanno7f2p7lJS6egO8si7B4iqsLfJm+rujB39eUrYMs52WPnXDSdw6zkLeOSaY1AsCdOSHk42nFhWIxAJxX/X406h10K/ut3Hb9/UvObTtTL3pnShcdBDMLR71O0P8co2obf9zxtO4NjpeURV+OdmLSRFL6WeTsmMh7FsWj4f3nI6D151NNXt3Vz1x3X8/OVddPWEhv6wEdEXRTNPBYg9b0dW5FCZ7+L8I8WO9xs7m0S7mHpR5wR2Mk7aGuIAV155JXv37sXr9dLY2EhtbS3XXXddqruVnugTpCZur6oq3/r7J9R19hCJqjy/pYGH39WMnBy9rH0ayTUlLhq0JKqfvriDgOaZCoSj/Pjf2+NxnPpi49B7E9nLpLKj3s2/P6mP/TsUUbnr5Z0p7FFyCYaj/GGN8NqU5wrPx/2r99LpS03m+3iQl2Hjve99igcuP4ojK3NT3Z2xo5dz1w1sjbwMG9efPLNve32r+OCace1W0kiUIYyNk9DQ1dtIe2OntrDQDYZw+hpxk47YYjEXgAff2kc4qlKR52RheTYXLhXhHKt1I05X2Upzp02GXWF+aTazi7M4aU4hn1lWQU9Q22Fc/2dYfUc8Ht7oxMYZsZhavUs8bwWZwgl37HTx+j831YmkzdlniPZF8ye0mzppa4j/6U9/ilXXdLlcFBcXp7hHaU7jFnHUkqJe3d7IJzWdOKwyFXlCEP/R96tEG73IgaqmT5l7PbHUlgGKjUhU5YMDYjv4+pNmkGVX2NXo4aMqbYs4qCX8tqWvh/W+N/YAcO6SMq49YToA2+vTKNZ2CF7b0UhE0+79940nYJEkoir89q3UaMGOF3kZNi44spxgOMoLW+r57rOfoKaTZnEi+1eLo1ssEP2hvqFE4UiU9m5tMaWHd3ibJqJ3Y0c3xmxZIrRGo0gzAI6bIYy2mg6fCMGZJDtvk4o6bfdXq8j4ynZx7+VniHtx5SwRtvhxVQf1nT3xPKL2NJorHj0PnvgcdLf1+/Zfr1vOzy9dQmmOVv32w9/Du/dA+4EJ7OQY0D3bjlxUVaVHG2cuXCo84ctniuewJxRl/aEOyK7QPpea8M20NcTvuusuZs+ezdSpU7n66qt55JFH2Ldvck3AE4pe7Eab8H71mjDiFpZl85vLhTpNoztAmzcgYuf0pE595Wl09AWDVqxnfVU7LZ4AOU4r3101n5Pmitd/+qLmMdZj5fXiPmlGOByNbbstLs/ma6fOQpZgc00ntR2+IT6dHmyu7gTgnCNKKcx0cMo8ca3qOtJkcThCIlGVm5/5hGfW13KgNU2VoTyaQa0tJM6+/10u+f37VLeJe/KlrQ0cdcfr/M8/NMfAtJXiOFTxH6OgLxgO8/iX5wpnxnlLyshxWvH4w2yt64qFyQ1Z28Bk4tBLo2tGmR7Pf8YCkUc1sygTRRZqKn/fUBPfPe04NLH9HC2hHqh6V1SAtSg8+v5Brv7jOl7YUj/wZxZdAsd9JX3mQ71mSE8nh9p8+ENRbIrMWYvEbnhhpoPiLPHsHWjpTvmCOG0N8b1791JdXc1dd92Fy+XinnvuYd68eVRUVHDVVVeN6LvWrFnD+eefT3l5OZIk8c9//rPX+6qq8qMf/YiysjKcTidnnHEGe/f2zoxvb2/nyiuvJDs7m9zcXK677jq83t4xnVu2bOGkk07C4XBQWVnJ3XffPapzHxesWhnYgpmoqspBbaL/1Pxijpqax6LybCJRlbd2twiJw3QrYnBYbOrbWpLG6fOLsVpk5paIGLEduqJBuSaNOVQVToOyubYTPcrmyuVTKc5yxEIb1u7r3wuSbui7F6sWi7LS150oYjU3Vnekr8c4gec21nLT3zbxxg5h3DltFi47tpKvnToLh3UY6kZGJEfzPFUeR3t3kIOt3Wys7iTHJZIWp+Q68fjDbKntEtdQTyJPF+m0Q5paQ3fv+gNR7X60yBLHa964jw62i7EUhNE3Ce7ZSYFe3j5vJr5gmIYusbD//LHxUKOjpop5pCcYiceIDyXHaRQkC3zuMTj/frBl8f7+Nt7d2xpPPk2gxRMQC5HTboFzfgnFqQndGDF6vYJwD5/UdgLCqWhNyD9ZtVgY5XubE+y0FMkVp8md0z9Tpkzhyiuv5Ne//jX3338/V199NU1NTTz11FMj+p7u7m6OPPJIfve73/X7/t13380DDzzAQw89xLp168jIyOCss87C74/fuFdeeSXbt2/n9ddf54UXXmDNmjV85Stfib3vdrs588wzmTZtGhs2bOCXv/wlP/7xj/nDH/4wupNPNvrgM+1Eajt6CEdVFFniCyumA3Cy5jH+YL9mxOklZGs/nuCOjpJWLStaM6z/vl48qDOKRCb4FcdNRUJ4HQ+1dqd9oQ3dY3rs9DyyneKc55aIa/yHd9Nke3EQ/KEIO7Qwm6On5gKwbFoeNkWmyR2gqi39vf5v7W7h35/U95K7u/3CxXxv1XymaB7WtEMfN4rmkeey8u53T+OP1xxDjlMY4ovKs3n5v0/ive+dhiRJKfdUjRjdAD+sUqZuYsuSRHG22O5//MNDkDs93igwSSQq0x19Lqw4hm11bqIqlGTbKdGuG4idDYCdDR4oXSJejIQgsUiMUVFssPBCWPZFkGW+deZc7rxoMafN7x3ee+mDazn2p2+wRTNk0wp93ChdzNp9Is/kyIqcXk0WTxH/3tXoju/wm8maI+O1117j+9//PitXrqSgoIBbbrmFvLw8nn32WVpaRlYN8eyzz+bOO+/k4osv7vOeqqrcd999/OAHP+DCCy9kyZIlPPbYY9TX18c85zt37uSVV17hkUceYfny5Zx44on85je/4amnnqK+Xmz3PPHEEwSDQf70pz+xaNEiLrvsMm666SbuvffeMf8tkkJCEtXGajHpLSrPJlubIBeWCRmx2PZVVMumTpeCN/pWVVcd/mCYVq+I/1tQKgbd4mwHR2kG3fpDHXHZNE/DRPc0KWzSwjaOnhZXp5iaL7Sbq9I1rCGBf2ysJRxVcVotMaPUYbUwT1tsDLrNmiZcs2Ia3/r03D4TZFqTELspSRKV+S5OXxAvoKVYZBaUZceVU0LagqpuI2mBHkKjS9ppbNLG1PVV7UwvEM9hXWcPZJWArMWSByeBKs5kIKaakss7u0WS35EVub2a9DLi9N1hNQrB9FtMzS/N5qrjpzGrKLPX65l2cV9W64o/qgrhdEmE13aaSpfw4laheCPru08ac4rF+W6vc0NBQqJ4Cs4xbQ3xVatW8cc//pGLLrqIhoYGNm7cyK9//WsuvPBC8vLyhv6CYXLw4EEaGxs544wzYq/l5OSwfPlyPvjgAwA++OADcnNzOeaYY2JtzjjjDGRZZt26dbE2J598MjZbPNThrLPOYvfu3XR09O/tCQQCuN3uXj/jRkLohm7E6dtvAEs1IzUQjlLT5oOCOeINTWXF+Gg+qcwidjWJwdKmyJw6N27kLK0U57ultjNugDfvIB3RJ/6jKuPX8PwlIlElHFXp6A70+7l04S0tCz7ToQjPqUZE80i9tDU9F1CJHDM9n6+fPic26euEI1EOtHj7TXQ0PPpzpQzTo697idMlSUx3aGT0LhqmR53IksR5R4jnMKpCZ08o7r0ztcSNgV6ozpHL/20Ssfuhw6qiztFCGZvcAeq7id/P6bBz422GQx9A+8FBm911yRFs/fGZXHJ0hajEeUchvPStCerkGNEWU6ojJ1YHZcWs3pVudQdOZ0+IQ5EEOyYFxcPS1hC/9957OeGEE7j77rtZtGgRV1xxBX/4wx/Ys2dPUv+fxkaxmiopKen1eklJSey9xsbGPqotiqKQn5/fq01/35H4fxzOXXfdRU5OTuynsrKy33ZjJhqNDz7RCP/S9FF1zw1AZZ4rtn18oM0LRfPGpy/jhZ4VPetTbK0VSTjLZ+SjKPFHYEmF8IK/v781XlkzHbYaD6PJ7WdXozBgFpRlxV6fWuCKXdOtdemtniJpHo9PHeYtPna6GFA9PZNLLz2RM+9bw6d+9Q6bazpT3ZWRoxXVUqMh7nxhB89trO2zoKhq7ebnL+/iV6/tjo8z6VJMRDfEHLm9Xl6g7SgePTWPkhwHZZoaxf4Wb/qF30x2qj8Ux/YDYqEELK3svRjOdljR8jV5e3czqNo9XJMGoZr7VsOfV8GLN7OltpM3dzXR5O4bH16e6yTLoRWcUhxCeSwd7tFoNNbPtrATFZAlOHF278VxcbYDi3YRN9Z4wK5d4xScY9oa4t/4xjd47rnnaG1t5ZVXXmHlypW88sorLF68mIqKilR3LynccsstdHV1xX5qamrG5z9KkAbrspXQ4RODz6Ip2b2aLdekt/Y1d8cnmnR4MKG3x18zYI46TJc5V4ul3tfcTbhES9aUpLRLotK9wRYJphX0NmDml4pruqcp/bZQE9mjlXy/QCvMoPPZY8Ri1ZeO3uIEdjW62Vjdgcfft6DGtHwXDqvctxS10UmQOm1VSnjkvYN8+++fcNiOMR2+IA+9s5+nP66BKdouo8U6gR0dA3XrxTHQO8xE1iZ8u1VMubO1bfG9TV7o0Tzh+9+cmD6aDI4WmhBxFhDWPOH6LkYihZokpSjWpN3EXeM0RycTi1WUt8+p5PEPD/GlR9fzt4+GKM53xGdFmftLHp6YPo4FX1tMrnh/h5gHKvNduOxKn6a6ce4LRcChGeI+0xAfEaqqsnHjRl5//XVeffVV3nrrLaLRKEVFyZPYKS0VmbVNTb11bJuammLvlZaW0tzcu/JbOBymvb29V5v+viPx/zgcu91OdnZ2r59xIaxN6BYrB7vFhOewyiyb2jvEZ1G5uFF31LvFChmG3N4yDAmG+MZD4vc5JVm9mujaogB7vFoIUTSctrGbh4c0AMwoFIb5uoPpuw3uD0VilQr1LWKdWUWZSBK0dweF1Gaa8od3DnDJ79fy2Ad9JdHuu+wodvxkVaw6XNoQS0aUiGZX8sWV07n4qArsSm8FmNnFmVx9/DRu/NRs1HRTZ9JzZg6LFdZVfPQ4VT1f4929rcSMOHf65zVMCrR7riV/GcGwkL2bXth3R+Y8LdQvGFHjaiKZJX3aGY4jPiPK21/wAKU5TuaXZsVyaxJRVZXfv72Pbz69mS4yRJl7axokiXfVxn7d3y0WSzP6uX4A87Qcsb1N3nhUQNW749u/fkhbQ/z888+noKCA4447jieeeIK5c+fyl7/8hdbWVjZt2pS0/2fGjBmUlpayevXq2Gtut5t169axYsUKAFasWEFnZycbNmyItXnzzTeJRqMsX7481mbNmjWEQnEP1+uvv868efOSGtM+KgKaiL2zgJoOsUW1uDwH+TA5pnmlwuhZd7ANOjQDvGbdhHVzTNSJaxP1NMcUNVy23gaA06bEEjiae6S4xm+6GAEaNe3C86iHaSTi1eLlYuo3acimQx1EVXH99EIpOk6bJVaAKp29/pkOhZJsO7OK+k4gOU5rzMOaVujx045sSnIz+PEFi/jV547s0yzLYeWOixbzhRXTkRKrFkbTYJdDT/IuWtDrZX3rXz/6tIqFa/e3wpRlolHetInpo8ngaPrhVX6xWJpe4IqFMCSiOwH2NnshW1Tb1IsApQs3f3our3zjZM4+oqzPe5Ik8dcPDvF/m+rY15xGzih998xVyEvbRNivcwC519jOVLMnnjStG+QTSNoa4vPnz+exxx6jra2NDRs28Ktf/YoLLriA3NzcEX+X1+tl8+bNbN68GRAJmps3b6a6uhpJkvjGN77BnXfeyb///W+2bt3KF77wBcrLy7nooosAWLBgAatWreL666/no48+4v333+fGG2/ksssuo7xcrJqvuOIKbDYb1113Hdu3b+fpp5/m/vvv5+abb07SX2QMJJSD1R+4wzOoAYqyhBe8tqOHgFNb+atpEkOteeOagnHDbfmMgj7N9AdzX0t3vDJe49bx718S2d8iruHMfq6hXto3EI6krdb2m7vju0/S4XENgEV77W8fp8E28QDcfuFi1n3/jFgBiknBYVr+w8Km5amo0fTwGOtGwJSje72sazTXa8djpunPYRTyNB3qSN8wJJMJJuSHsLhG/9otHDYDafbrtSf2NnniYQ0pSPQbT65eMY3vnDWPEpsf3n8A1vwy1V0amgTVGz1XShnAcaHnva2v6ogviAtmj3cP+9A3aCZN+OUvk3dDrF+/ntNOOy32b904vuaaa3j00Uf57ne/S3d3N1/5ylfo7OzkxBNP5JVXXsHhiOuKPvHEE9x4442cfvrpyLLMpZdeygMPPBB7Pycnh9dee40bbriBZcuWUVhYyI9+9KNeWuMpQ6+qKUls0MI2phe6+jQ7qjIHCaE/cih/BXN5GDLTRFrN5gJ/F43OuUCQmYUZZDr63v4xQ7zZCxEt4a8tvSq26rqvlfl9txHPWFCCJEEootLWHYzFOaYTbVr58/Kc/rdJdcnNvY3p6xHX6W+hEY2q/Oylnext9vLA5UfFJhPDc2itOAa76fQFyXFa+z0/ENviLZ4AvqDCdP1Fdx3kjlPCerJIkIFNJNdlw+0Px3Zwzl1Sxq3/3IYvGCGgZGCHlJXXNkmgUw8Fk9jYKMb//rzhAGXa+NPQ5ScQCopr2Lxr/Ps4Vl77IbTugZVfh+knDtr0v07VjFJ3Pbz+Q6G3fdK36ZPYYSQSHIsWj+jn4YopOpXa7mkgHCXsKhIGcXDi5X3T1hAHeOedd7jnnnvYuVOUpF24cCHf+c53OOmkk0b0Paeeeuqg3kFJkrj99tu5/fbbB2yTn5/Pk08+Oej/s2TJEt59d+Ljj4akXgvl8bXycb2IHe4J9t0GlmWZ+WXZ7Gxw40bztqZD2IaqxpKn9gWzgdZ+vcUQ38J6bUcTP8+pgPb9YO27KDEqnb5gLNk2sQCFjsuuUJHnpKa9h33N3rQ0xPVH9eKjp/T7/lmLStlS25U+BuoIkWWJF7Y00Oj2s6/Zw7JpaSIh2qklhEXDnP/b92j3BvnbV45nyWEazQDPrK/he//YyqnzinjUVSi2i9NBOUVPvDzM61+a46C63cdMLdQo12WjMNNGqzdIe3eQMoC23tWaTVJA2/7Yr3abGD9WDmDElWbHx8625gbKARo2j2PnkkTNOqhZx0e5Z/Pdv4c454gyvrtqiIqZjlw44nPC8x8NGzt5WqsZEg1006bVCzl1Xv8Ow/mlWSiyRDiq0i1lkAMpWRCnbWjK448/zhlnnIHL5eKmm27ipptuwul0cvrppw9pEJschvZQRTPLCUZEqMnxM/sffHT5u6puPX66c9y7N2YCnpi81K5OsfacVdz/pF6pJVF1dAdRdek0OX3KietVGC2yxOx+4osB5hRrCSrpFPeXwIEWPXyq//PTvR/pWl3zuY21XPi793lkkAqo/33GHH568WKm5KbPIpEsEc4WLV5EU1eA7mCE0py+i0UQcqkWWSIUica9y36Db/v73bGwhlgCpkY8WTP+WkWeuHat7Z3ihab0rFkwqdAL1TmyadVUiT41v/8ETFmWY0m3XqfmFLCkgWPj1P+B8x/gk/B0qtp8McfNQHgDYQ55VLj0YTj3HmMb4RBb0Pb0+AhHVWyKTGk/TikQ13CaZtO4uzVVp8YtE9LNRNLWI/7Tn/6Uu+++m29+85ux1/RKlXfccQdXXHFFCnuXZmjFJ7pLj0OtAptF5rgZ/XvZdDm8/V2aWzLgFqorioEHILfQRcdi45/bhcdKpv+ttZPmiL+FCgSULBxgfAMgAT1s48iKvsm2OlHNKPjX5jquPj69EsRUVWV/i9g6HGhXY5o2OTZ5/ATCkT6qHEZne72bT2o6Y3HE/XH5cVMnsEfJRS6cw7arz6K63dcn2VbnuBn57L5jlaiw+QctAdLo8beJ0nXZvXdr9HowiaE4gbBwDmx0Z3EEiNLjJqlFM6SjeTNoqBKLKt3Y7o95pVlUt/toy14oXshKA9WUWZ8C4KK5ARYv8pKXMbBhva2ui/N+8x7FWXY+uvWMAdsZCpeYwzszZkIrlOU4Bk1ur8x3sb+lm1a3j0qAlt0T088E0tYjfuDAAc4///w+r19wwQUcPJgmknpGQQsvaY2IAWdagSteYvow9MqF/96T4G00ehJV0zZxjIbp1Fb/U3L7XyHnumwUZ4nB2BvVjIQ0KnN/SPMC9ye3pePQihjpEoDpxIHW7pjyS0Vu/zHi+Rk2bIqMqsLWuvSLu73q+Gk8eOXRXDJA6E3aom/5OnKwKTKzizMHjBFXLHJ8DNKVKIy+7S9rBo09O57orbFby1fYlnA/6kmAO0OaYsVhRYBMUoC22OuRM1BVsCsyhZkDL5AqtV2NhoA2V6SR06Yoy86KWQWx2hL9oVefDEdVguGoiAs0epE7u5ZEGxXPVecQHn/dGXAoqsle2/tKOY43aWuIV1ZW9pIU1HnjjTfGrwLlZEUbPFrDwjgdzAOgb/E0+aS43E/E4HrNQWFwqooztkU8UPIGEJO/62jWPFwH3xnf/iWR2g5xrvq2d3+cOEcMONkOg28x9sPmarFolCX6LdAAmtdR80B+dCD99NJnFGZw9hFlMd3+/ghHolS3+XoZdoZH19iWRjjt6KXfjZ4Ip+uk92NQR/vJQTplrvDcWVzadTaTNVOPFmrZoqlrRVV1wMUiQI5TjEFbWjTj1OjXMBoRlUObdgzLoM51Wdn64zPZ+MNPY3v8AlHmfn9fu8tQaIup1pC4hvmDePwBWrV6Exs82g6kY+Bxd7xI29CUb33rW9x0001s3ryZlStXAvD+++/z6KOPcv/996e4d2nGofcB2F4tCgzpceL9cdLcInhxJyqgugqQvE2xSmSGRQu9CRbMI+oRoTczCvsPawAo1DzidaFs5kC84FEa8Op2cQ37q8ioc4wmYdiShgVvrJo3vz95zURKsu3UdPQM+ndIZz6p7eTSBz+gIs/Je9/7VKq7MzzqNwJQd3AHT7yyi9MXFA+aaPrEukOs3dfGzxzl5HjqY54uw6LXY+jHozatwMXOBg8Ly+Lex6OninOv69EMhTTypk5a9rwCQMAtJFIzBljs6wTCYq7c0xYW1pTRE279XfCnswB44swNlOdnc9KcwgF3wCVJipe5B5GoafTFhrcFAMUpnrXzlwxe+GxOSRZv7W6hI6rtsJrJmsPna1/7Gk899RRbt27lG9/4Bt/4xjfYtm0bTz/9NF/96ldT3b30QvMY1/SIG9FqGdgDMLsoE7siE4mqhBVtYjT6g6lNcD2SCNcozx08ZkyvyLgxpO2sFMwZ3/4lEd3wLB8gCQ7i242dvlDaGarNbnFt9IpoA3HafJElP5g3y4j4QxGe/6SejdUdgyo5VeS5sCkyLpuFaHTgdoZCEqEYu7sz+P3b+9lU3Tlo842HOnlxawMH7Jqiw0j0x1NBwyfiGPH3eUvR8jUcCUXEYoWnurRpOOgxvlNjsqOHpljE+HLmwsFjvpdW5gLQrmrjkdEL+oQDkDeDSNYUbv33br782Prhf/aiB0WZ+wV9Q4INRa1QTWnoEsmXlYPs8EPcUPeitUuBPZOWHnFVVdm3bx9z587l7bffRlHS8jSMQ2YxdBzE4ygDH6ycVThgU1mWmJrvYm+zlx7JgRV6lZQ1JNrg2qJtVeW5Bk+KmlGYyYZDnXRFXb0+b3TU2DaqygmzB76GWQ4rWQ4Fjz/M9nr3gAo5RqS2QwyuU/IGL7WsGzk1Wvt04VCbj6//bRM5Tiuf3HbmgO2Ks+zsun1VelXYzCwBdx2u+afzhRnTOGpq7qDNzz+yjIXl2ZR3bIBajO8xbtkjjj19+xk9rMQ9iHtYAlpCDtDtc0895E0f336aDEzJIqj9mFbXLGgfPMQPYKU2zrZGXIjJUBIhHwMkyqec7DL4783Ut/v49As7CEWiA3rDdd7d28Lzn9Rz1NQ8Lj8uDfJWtMJYtUHhKJwyQC6Rjj6X1PgUsJMSe8agd8vAHDx4kCVLljB//nyWLFnCrFmzWL9+BKs6k76EhLHSEBRe1IEUU3R0fWavu1O8UP3huHUtKRx4G4C2TjFBdvYM7gW+cKlYIfdY0sTjr9HqDRIMR5EkmF08uMc4HBGGwXt7J76c71jQC05l2QeP+9OTqGrTLCE1HI1y7PS8IY1USZLSywiH2IL2+PnTuf3CxUPqn586r5jrTpxBSbHmlTS6VKpDCzvJ66to0+ETntL27rjH1K5YRHEtFCKSdj9H+9ZvMJlAtN3hppAYP8qHMOIy7Qq5Lise9Haq2NkwOJX5Lh7+wjE8eu1xQ7bd3ejhmfW1fLC/bQJ6lgSyRJLmfp+4hjmuweeKPJcVmyLjVnWBAzVezG+CSDtD/Dvf+Q7hcJjHH3+cZ599loqKCmNUp0xntAmyqlvsLAy1gtQnkzZ9Oy5scK+jpnriVsVCQ9dCHwjdC3LQo7mp9EIkBqeuU1yHkiwHNmXwR1tXAmj3GXwr9TD2NIlJLjyEwaI7Hj/RqoymC4vKc/j7/1s5rAky7dA92o6BVRr6pVXzNFcZsBhaInqSZtnSPm/phUWa3L3DVvTdOb9V+5ukoKqfSQLaXLhHq1M3xDAKCAGDADaisrbTavSdmxFy3Ix8vvXpuVw9vRPW/gZ2v5LqLg2Odg3dqrBjBhOfAOHUsFlk3CS0C03sc5h2hvh7773Hww8/zOWXX87FF1/Ms88+yyeffEJ3tzmAjYpgD4SEF8CjunAoMvkZg4duTCsUN2yjfbp4oWD2ePZw7OQKrewuu/B0n3/k4Mkb5bkOJCmuIkMwPQrfrDsgPBbDqSi5anEpEK8kmi7oYdNHTMkdtN0CLSkuqopqo5OR5z+p58t/Wc/jHx4aurER8Indl05vz6Dx7zrRqEp9Z09cGs7oSdN6CFs/yZouLTb88LC44zX1ppCS1fs7TFKDtuhrC4t7rjQ77pSKRqPs79xP92FGmp5n40ObLzoM/DzufxOe/Dy8+6sBm7T72+kKxHeBl1Tk8vXT53AsO+C1H8C2Zyeip6NHUy9y4yLDboklm6qqyl93/JVrX7mW+zbcRzAhnl8CAlgJS6lJnE47Q7y5uZk5c+LJc2VlZTidTpqbm1PYqzRGL3YDeHESGUKuCeCcxWLrJ5guyZra+TSEhxczZlcsOBQLbjVhhZwGW8Yfaoa4rrM9GPrfoC6NYqjd/tCQlV91KvOc2DV3VmI4QLrS7m+n09/Z67UDLd28sbOJrbUGf/4AAl5QxbU795FtnPvAe73ePtB5gOf3P0+LryX2WigaZeXP3+R7H2vjTFbphHV3VPi0rft+PP45Oe3YS/7JJ95n8CSELuhysN1RzUBv3Tfu3TQZBK0mhu4dXTxFSNk1dTdx4tMnctG/LuL0v5/Oe3Xx+1cvGBbQxcaat09cf0dK237Y8wqbPnyL0+55mzd2NPVp8qetf+LzL3ye1p7DwhaLF8KSz8PU4yeos6MgwbHoVZ3MTlDX+uobX+Xuj+9mfdN6/rjtj9y29rbYe4umZANS3KaZ4AVx2hnikiTh9Xpxu92xH1mW8Xg8vV4zGSaaER1CIYxC7mEemxcOvMCv1/+atp54fJgeN9ekxZQb3hDXVre1Pi30ZohEPxC2uydxqypg/Lg/3cc4M6H0+/bW7Zz/f+dz7nPnsq11W+z10hzxN2h091V4MCr1WuhNrssakxXr8Hdw3nPnseLJFXz7nW/jDoprLcty7D5t9hjck5rA9Y+t5+Lfv88mTS8d4Asvf4FTnz6VU585lUe2PhJ7/fQFxfz04sVcdlwa1E1IeH6aKKAgoUjKEzuf4JJ/X8L33/s+5//zfLa3CkPGrlgozrIjZQoFHMPvTOn1Bpp6G2IHOg/Qnn0PtvwPeb76Uc5+7mx8WixymaZu5NatuPpNE9Zdk37QKkR7VBeFmXYyHWKc+dKrX4otoLpD3Xzr7W/FFo16NWafrC3AIgZWoppxMpz/AP8nf5qDrd0c7nNTVZUPGj6gzlvHSwdeir3e1RNiT+YxBC54EI798gR3egQkFN/z4qRYW+huadnCB/UfAHBKxSlYJAsvHHiBJ3c+CcAR2oKrR9XGJT3xeoJIO0NcVVXmzp1LXl5e7Mfr9XLUUUeRl5dHbm4ueXkGl7kyErK2mrfmAnDGgrhc08NbHuaWd2/hT9v/xBl/P4Naj8gm1iePhh4trKHW4Mmymte/U9MJHaisdiKLyrMJYiUs6XF/Bl9sIPTRIS655Ql4uPrlq6lyV1HtqeZLr36JPR36ACPM9u31xj8vncZOsWjQvYgAV710FYc8h/CGvLxa9SrfW/O9WNhDSba4zofH5RqZHfVuNlV3xhZVv/joF2xq3oSKSkSNcP/G+3mnRhh8i6fkcOXyaRw1NQ3GO81LhS2T7Xeex28uPwqAHW07+PlHPyeiRrDKVrpD3XzjrW/gC4v2675/On/5L620ttGfwbB2nx1W0OeW925BlQNEAkVIqoWuQBe3vHcLAG4tcbw5onni0iz/dvIhLoAHZ2z8ONB1gBqPKO72P8f+D0cUHoEv7OPeDfcCMF8Lg3PbtAVjRtEE93kEFM2DZddw/bXX8/RXjufoqXlE1ShP7nySrkAXkiRx10l38ciZj/CFRV+Ifey0e97mzF+vYX+zwUOAtXEmiJUwCgVamO3z+58HINeeywOnPcC8/HkA/GHLH4C4Y8ob1myalp0T2ev0M8Tfeust3nzzzV4/ia/pv5sME20LxicLL6pu5HzS8gm/2fSbWLOwGuae9fcAcUO2Nax5jL2NE9Xb0dF+ABAeblkC+zDiovWqhn5dOaXb+OoiTZrnt0S7hg9vfZhQNITdYmd+/nx6wj3cte4uVFWNeYtDEa10cRrw4lYt6VYzXra1bqPaIxJpL5h5ATbZxnt17/FunUjq07eM16VRdc0Hrzqah65axuziTMLRMK8feh2Ao4uP5qoFVwHws49+RtToZaYPR/eI27OwK5bYzps+xjgVJ2985g1sso1GXyM/X/dzQNOBt2o7PGG/CHExKnkzxHHGKbGX/r777+xo24GqWuipvo7F2asA2NS8iVA0RKE2ljaomoJMdhrIw01WVDV2n3pUVyye/5ndz6CicmrlqVy58EquWXQNIHaLm33NsTmzPaLttKZBnH9lvovlMwvIy7CxuXkzd310Fxf/62LC0TBz8+ayvGx5r/al2Q5ynFbj153Qwt88kpi3q9t9RNUob1YLm/D2lbcjyzI3HXUTAG3+Npq7m8nVlFU6JG1XQ57Y3Km0E+A+5ZRThm5kMny0sA2PlmGsewEe3PwgKirnzzyfaxZdw+de+Byrq1ezo20HCwsWIhGPo8NldB1q4eVwqy6mFWQM0VagG7O+sEomQO3HULFsnPqXHJq6hEeuJNtBd6ibp3Y/BcCvTvkVc/Pmct7/ncf6pvV80PABy0qWI0li7mnzBigbIm7eCOihKfpC6q87/grA+TPP56cn/ZQMWwZ/2/U3bv/gdt747BuxJM3NNR39f6EBWVKRy5IK8fua2jU0+ZrItefy4BkPEoqGeHLnk9R763li1xNcteAqqtp8NLn9HD01b0ilnJSia/Mq8d2McDQcC5f6xtHfIN+ZzzGlx7C2fi3v178f/2xiyemuWiiePxE9Hjn6YiMjruH/woEXAAh7FqGGczlnyvXUVX1Au7+dd2vf5dgZYkxJZTERE41gN6giF8iDi4YukVT8xqE3APjMnM8A8Ompn0aRFcLRMH/b9TdOLLgagKagTUw1h+VyGIq2/SLpOacilssQjAZZVLCImTkzUeTeJqG+u/ivG0/A6q6Bh48Vxu73qia658NDewb156ksx8H21u009zTjUlycMOUEAE6YcgJLCpewpXULb9a8SSS0AoDGSLZwTzsHl1ZNNgYeuU0mhP1ipdjmF8ZqMBJlZ9tO1tavBeBrR36NefnzOGuaKIv77B6RMT21wIVHHVwWyDBog4sHF7OKhmeIZzvFZ7p0bVGfsTVUg+FoLN7brsi8U/MOPeEepmVP4+SKkynLLGNJ0RIA7lp3F3ariL8FoT+eDkzRZCVPml2IP+zn7Zq3Abhs/mUAnDVd3KNNvia2tGxhTolQohiqYIVRea3qNQDOnnE2LquLHHsO03KEAtCrVa8CsOq+NVz2hw9jVeQMixa+Fuxq5Bev7KK6zcf6pvV0BjrJtefyuXmfA+CW425BlmSafc3UempZs6eFG57eRkTSDAQjy/sdJs8YVaOxkAZXUMhRzinK5dyZ5wLw2qHXmKklk3WmsLy2iUabSJSNqhI+7BRn2Xnp4Es0+ZpwWBwcXy6SFGVZ5sJZFwJwsOtgbHenQ/eI71s98X0fLq9+Hx5cwYfPP8K7e0WM+/Flx/PUeU9x+wm392r64OYHOfu5s9nRvgOrRQarS8yDPR3GFS/oFufk13b4z1tSFnPYnDTlJGyWeG7KGdNEyNs7te8wX6vUHCviN8HPYXrOUCbJQ7txOzSDsyDDxh+2/AEVlQxrBpXZIhHsgtkXAPDPff/EH/Yzpzgznsxo5MkjEo5pgnrUePLGUPiCQnmkSdXibwtmjUv3ksW+lngy3PQCV2zLf0XZipgKzolTTgSg2lNNJBqJbammS8Kmrn4ytzSLx3c8ji/so8hZxBGFRwCwrGQZRU4Rn7mpaROf0srcK2lS+Kam3ceLWxrYXt+FL+yLGdufnvbpWJuvL/06APVeoe4wozCDGYUZ+IIGnRh1IiJsyh118ODb+2n3BWOexk9N/VTMEzc9ZzrHlBwDwOrq1TR09fDi1ga6ZO05HELRKaXoCe2S2LHZ0rKFlp4WMq2ZOEILAHDaLJwxVRgAbxx6A5UQ+Rm2+O5i1Xt9vtZkgvCIEMsebIDEeUeW87edfwMgx56D3RLPLfrs3M8CsK5hHVPz7EgScZUtIzttrC6C9jz+vKmLX766u9dbh3vDd7TtoM5bx8cNH4sXXPnwtQ9EmXvJoKbjAZE/0xkSz2BJtpM3qsU4U+TqHbt/fJlYWK1vXM+cEocm0JCa8CKD/jVNJox8YWDqxXmOrMiNJfQdXxqXKdInx1A0xL/3/5vibEd84DHyVlzCA+XBhWuYutkLSrUEnNhiw9hxf8Gw2ELMc1nxhjup9YpQgKNLjo61uWzeZdgtdqJqlF0du8jUlEc+SZPQjWZPPFnz2b1iZ6bAWdBLblP3jq9vXh8LL2pyp4dqytr9rdzw5EbueXU3T+58En/Ej4TE0qKlsTanVJ6CU3HS0tPC7o7dvPKNk3nr26fGdNMNi67lX3wMX1w5nSk59tjumj4h6pxSIcIPP2z4kGXT8vnReQuxZ+aKN4266A94415Cmxgz9LjUUypPQVXFuCNLEosLFouPRAK8VvUa2Q4lvrto5LF0suPMBcCrqZ+UZDlo9YvcoDOnndmr6fz8+WRZs/CGvOzp2kNlnivumMqbPlE9Hjmf/TObL9tIZN75LJ+RjzfoHVDT/+qFV3Pfqfdx8ZyL2VbXxXf+sY1ffWKBnCnGXRBr+ue6PWOxeghFRVz7FfOv6NV0bt5cZGT8ET+ra16lIMMWfw4nuGiRaYj/p6PdpB5c2CwyDocvlgD3nWO/E2vmUBzMzJkJwL7OfTgUOT7wRELGnSBb9wIQUEUWdccwi7voShSp2qoaKa1aomZlvov1TSIMINuWHQspAsiwZXBCuYiRe7f2XVq94jMfHDCwByeBgy1iZyPDbqHdLxIw9bhNnZMrTgaEpyo/UwxvTW4/kYjxkxuzHVaOnZ7HwvJsdrTtAGB69nSslniBJpvFFkuk0tVT0gJtQTyroowfX7CIne6PiWjxuCdNOalX0/n5Igb8/br3qchX+NKJM8jI1vJQjPocJhrQmaLOwj/2/gOAOblzYjsWXn8Ym2KL7dxsbd2K2x+OL/iNrpU+mdHCnvRrke2K0tAtEsT1BE0di2yJhYn9cesfKU10TBk1bEPjuBn5PHLNMdx67kJuW3sbJz99cmz3rVe7suM4fdrp5NhzaPEE+PuGWt7cZfB6LSWLAKEhLklQ5xNOxZk5M2O7+zoW2UK+Fgv+QcMHFGba48/hBIfApaUhHgqFUBSFbdu2Dd3YZHACerKmi+JsO5tahI7t7NzZTMnqncF/7eJrAaGo0t4dwoOTqL6Y9hhUOUVLEvNqVc/mlvStetcfGXaFLLsSX2zUfjwu3UsWenhJcZYjZsR9etqnkeXej/hJFcLoebfuXSq10r+RaP8eESMRCEXwaIWKuqMN9IR7sFvsXDzn4l7t5uXNo9BZSE+4h82twlANR1X2tRg4tljj7CPK+Pv/W8l3zpofK6bxpSO+1Kfd3Ny5ADy247EJ7d+YiFWdFN7GBq8wcKZlTyPTltmrqb4DoKLGDYSOKnHc+9p493R06FX6bJlgtdPp74xp2i8pWhJTm9AXv7ph19DdQEWuM+6JM7IG9WRHu0c7ImKuqPfvJqpGKc8opySjpE/zAodYHG5o2kBhli0+V6SBaorOzvaddAY6Y+cyEHNLs/jOWfP48ez9sPa38efRaOjiE7iQgC2tnwCwtHhpv80/P+/zALgDbroD4fg1LJg53j3tRVoa4larlalTpxKJGHvlmRZoCSoeXOQ6rTHR+2UlfRVC9BjjHW07qChQUZHxSdqNKxm0VLq2TazLGZ08d/garyU5jpiajC6BaFTWV4nwEqtFYmPzRqB3WIrOsaXHArC1ZSsnzxOLEr0EsJHRFVMA2iMitnFx4eJeyTcg5O6ssjifF6v+HdtB3dWYPpNjIBKIqYksK+77HC4qEF4fd9DNmj31fPkvH3P3K7smtI8j5pBI/g6016KqKtvaxPklxr/r2BRb7Bzbetqo7+whgDa+9Bg0jEoPXdPK2+/uEPdohjWDZcXLRLIbxArEHFMqQv02NG3g5Ln56ZFvM9lpFPekvija0fkhAEcWH9lv8wtni4RNf9hPXWd3/BomVKs2FKoKf7sc/nF97D7714X/4slznuSIoiP6/UiNu4b/2/t/1PVs5YbTZnNs3WPw2q19ilYZBl1+EidTcp1sbt4M0Cu8LxHdMbWtbRtR1PiuRmhik9/T0hAHuPXWW/n+979Pe3v6aAQbkmYxgXtUJ23dwZjwfX8r5EJnIVOzpgLgzBEGfEx2K2DQCUSLf+vUQkxKh5msCeAPRXCjqaYYXKLxk9pOANp9XTEj7qiio/q0q8ysREJCRaU2IEJY0qHgje4NL8128GGDMOqOLu670ABYWLAQgGZfMzMLxfXLsBl0odgPm5s3E4qGKHAUUJFV0ef9kypOiiWO7Wjbzxs7m9lwyKAGqo62Y/bmjjq+8tcNbGoWO29HFfe9R0EoxYDQ2/7Mg2t5vlPzUBUZVLpQXyBoHv+trVsBWFm+ElmWY/kYun7//Lz5ZFgz8Ia8RK31cQPAqAuN/wQ049KDkyyHwstVLwKgSP2rPJ9WeRp2ix1f2Idi64hfQ6PuDod8sPsl2PoMZz/wPhsOdWC1WDmi6IheiaiJvHDwBX609kf8c98/xQuzTocjPgeZfXcIDEGD8IB7VCdzS51saN4AEAurPZw5uXNQJIWuQBeLKiMJC+KJddyknY64zm9/+1v27dtHeXk506ZNIyOjtyzdxo0bU9SzNEMRHkUPLvKzQlRHhFGmx9oejh7X+UHzq8DFdEadlMoY15OjbRO6VRc2RY4J9w8Hmbi+uu5ZNyqKRbh+LVk7iQQjyMhMyexbHESWZWbkzOBA1wFCciuQlxbyhXrCZUm2nbdq3gJElbT++OKiL7K6ejVdwS6m5TnZ39JNu8/4W/4X/PY9ZEkiZ8ajAOQ58noloupYLVaWFi1lXeM6LI4a7rrkRKYVGPv+JKsM3HVsic7A4WrlkPsQAEcW9e9t1KU2d7TtYEre5fjCRRBhwj1Vw0ZTa8At1Gx0T5y+0IhqDgFdwMciW8hQMugOdbPD8y4exA4A0TD0dMYSB00mELvYNfWoLqYWOKnVQot07enDUWSFuXlz2dq6lenlnaw7YPBnULLA+Q9w/0sb2NkejVViHowji45keely5ufPp6M7SMuim5iS6yTDblDTsVOMKx5chK1VoA37iwoX9dvcZrFR4CygyddE0L49YTHVMAGdjWPQv+bQXHTRRanuwuTAng2eRjy4WDrbR3WT8HwPdOMuyF9AnbeO9mCDkGxKjKGe9akJ7Pgw0WLZPDiRJfo1bAbimOn5eD5Jjy1jRYsFd2U1QBuUZJT0iQ/XOXfmufxm029o9lcDc2jvDuILhnHZjDsc6Iop2RkBwqrwjp8+7fR+2y4oWIAiK7T721noEpOpHptrVKJRlW11XURVmFG4H6DfhZTOEUVHsK5xHTW+Xdx+whUDtjMM2nN38xUX8FDgIG9vFYZMjj2n3+bz8uYhIdHc08zDl5Uyc9sSeOM54z6HuidbS6zd2CQcQfPzhAdfT8NIHH/ynfk09zRT070TL8fEv8vXahriqcAlCjF5cZKd6SWqRlFkhU9VDjyvzc6dzdbWrbRGtuJRRdgfalTE+lsMFvJndcCya7hw2mdY6Q3wZtNfebdV5sLZFw441qwsX8nK8pUAnHHvO+xr9vLkl5ezcnZhv+1TjiMHulvwqC7sDjeENK+3PPDcpu8GNAd34EUU9pnoOH/jzrxDcNttt6W6C5ODWGVNFz2SUEsZaLsY4KqFV/FG9Rt4gx4UOUE7tb1qvHs6OqpFzLtHdSGPUE96QVk2b2zWdloMvmXcphmaFkUkJeoFUvpD193e794BCGP2QEs3i6f0bxQZgRe3CA9Fve8gZEKpq3TAycNusTM/bz7b2rbRFd0HTGWT0UM3gGe/tpI2b5B7d4qJ4dwZ5w7Ydm6eSNhcU7tmQvo2ZrRxxurMpsMtahcMttBwWV1YZAvhaJg3qt/gKyEtfKpl57h3dVQUzRPHqcdT1VWFJyRiVXVlDT1Zs6nLzyytiM95M89jV/sushwKUWTcqpNsqQeMnzs9OUkQLlCtDRARIQ1O68BVh4NRsZu4270BLwm7yH43ZBgznHF6YQbTClx868Nn6Ah0cErlKYM+izpFmXZaPAF6QgbOzdMq93px0uoVDo3+8t0SOXHKiTy560msNn98BxwmdDGVtjHiAJ2dnTzyyCPccsstsVjxjRs3UleX3GSJH//4x0iS1Otn/vx4rKLf7+eGG26goKCAzMxMLr30Upqamnp9R3V1Neeeey4ul4vi4mK+853vEA6Hk9rPUaGHbuCkI1wFxOXD+uOIwiNQZIWOQAeytSMeU5Vh0BWytiXswcXi8pFpLYtMeO3BNGqWOBCJRGPFbmp9YvCZlzdvwPaLC4WOcZ23jiyXMOCDYWPL++nnp9rE1v9AOzY6uhLHfp+IJ9/R4BmsecqRZYmjp+axck5mTANer+TXHxWZIna8zd/G9oYm1h1oixWhMiR6kROrE2/IC8BFsy8a9CN6PkqLrwV6tFwgoyZN63JnGYUx1SK7xU6xSxSV0j3iiTa27mms79kPRM2EzVQTmwtd1A9jHAVRMA0gGHUTQcarajlIRsyZ6umE5p3gbSaiRrh+yfVcOOtCZuUMXawuqkb532sW88mqKk5/fgW8cPP493c0JCymwoqYK+bmzx30I3o+Sou/Op7zBhD0jk8f+yFtDfEtW7Ywd+5cfvGLX3DPPffQ2dkJwHPPPcctt9yS9P9v0aJFNDQ0xH7eey9eAe2b3/wmzz//PH//+9955513qK+v55JLLom9H4lEOPfccwkGg6xdu5a//OUvPProo/zoRz9Kej9HRLBHJHAgbtwdHSKxoTyjfMCP2Cw25uTOAWBqWWdcdksZfhLkhJI/AxDnp5eTHi4ZdiWerKka11Ct6fARjqoghaj1ihi5efkDTyBZtiwsmspNVo5ILHL7jR1DPVWTWszNFbJ+Q02Q+Q6hDxu2CE+6TUmPoW5vh9C9L3YWk+fIG7DdooJFsWt4zRP/x+f/8CH7mw0s0egT1+3J93ezo1UkiOte/YHQVSn2tjXy9H5NHWcQ72RK0Q0ve3ZMelJXmQJwWMX9V5wVT4qbkTMDu8VOT9iH3dkRH0uNaMT9J6BVNfWqTnwWsZjKtg3uvDlr+llYJAshNYikuPHqjpuGLePa1VFx4C34/fE0/fHzfLC/g6sXXs2dJ96JY4i5+5ndz7DiyRXct/FeMQ/62uILY6OhLWI9OOmICEGJadnTBv2IPg55wu2E5CB+VfOCT2DCZnrMTv1w880388UvfpG9e/ficMRvpHPOOYc1a5K/XasoCqWlpbGfwkLhAe7q6uKPf/wj9957L5/61KdYtmwZf/7zn1m7di0ffijkj1577TV27NjB448/ztKlSzn77LO54447+N3vfkcwmMJEOU997FevpOALdwJighgMpyIGm4CyJx4jblTt1JiuqJOCTNsQjXsTCqu4E7eqwsaMM96vaWTL9gaiahSbHC8YMhB6oqPiFIaq0RM2u3rEQqG2R0xwQ52fXgnPYRdeYqOXuT/Y2s0LW+p5fOs/ASjNHLywiyzLsUTHgpweZhRmEDSqnGs4vsj7wydd1HhFCNxQiyl9Z67KvYen67UdtwHUHVKObngFu2OViRMXGhLi/nMkVPZVZIXSDHGdM7Ia4rtvh96fgA6b9EEb3z04CcliXCx0Dr7T61AcMUNPcTTh1eeLCU72GxZqlKAtl82tMve/sXfYH3MqTnxhH1XuKlh8qShzf/Yvx6+foyUajRnibhkCUTEvzsweXBPcZXXF5hOLvTmhzP3E7aKmrSH+8ccf89WvfrXP61OmTKGxMfnyQXv37qW8vJyZM2dy5ZVXUl0tJpMNGzYQCoU444wzYm3nz5/P1KlT+eADEZ/8wQcfcMQRR1BSEpf8Oeuss3C73WzfPrAeZyAQwO129/pJKpqX16faidrbQBIe7wX5Cwb9WKZVeJZ7pOq4F8ddP8gnUoi+VYUrpuU7XGYXZ/TeqjJomXu75u3NyhHXwKk4h0xK1b2NVnsnANvrje2Fa+sOAhF6osITM9Ri8biy4wBwh9pA9hk+WfPt3c3c+OQm3q0VY4ZuuA3GnDyxM7XqaHjr26eybFr+uPZx1ITiW7xzjpKIqhEUSYmFbQyEbsh2BBv5/MmzxYsTODmOCK0eA91tMQ3xxIVGTDXlsAVhVBuDo9bahLHUgEbcfwKaJF8XNqKyUOc5beppQ35Ml8bLz00I1TSi3O3iS9nw+Y08O+cXzK8M0JlYDXYQTq44mX9d+C9uXHA33365nnu3KJA5/HocE4Ye/gZ028Vc7VScFLqGDpsNaRXGHZlN8edQyy+bCNLWELfb7f0apnv27KGoKLk3yfLly3n00Ud55ZVXePDBBzl48CAnnXQSHo+HxsZGbDYbubm5vT5TUlISWxA0Njb2MsL19/X3BuKuu+4iJycn9lNZWTlg21Ghh6XgJDNLxLQfXXz0gGobOvrgZLX54h7xmnXJ7VuyiOmKuugYoYTd7OIskOR4AodBvf6dmrc4O6sTGFhuKxHdyOkK1wDw8UGDbjVq1HX0INtbQFKxytZBE4pBhN+UZYhS4xZ7Mx2+EMGwQT3GQH6GjeOm56MowmDTCy8Nhh4itrt997j2bczoC1jFQfkUUSLbaR16sVjgKECWZKJEKZyqGfMBTyzvw1Bo+uGh/BnsahehN8UZ8YVGWAsSD4Z6h7jpidMRS2s8rCEnyeO8yfDQ4vw7bAFAJdeey6zcoeOnVS3yP6gcis8VRrxHgRWzCnj4C8ewl4c46emTeLvm7SE/k2PPYWbuTDq6Izy7oZa3jFrmPip2P8OqTMjWCQxvHAUozxThuDZnc/w57G5NehcHIm0N8QsuuIDbb7+dUEgYIZIkUV1dzfe+9z0uvfTSpP5fZ599Np/97GdZsmQJZ511Fi+99BKdnZ0888wzSf1/DueWW26hq6sr9lNTU5Pc/yBBMcWRIW662bmzh/zYSVNENSpvpIkutK3iqEETxfStKlzMKsoYonFvLLJEfkZCwmaLMasXtno0b69NDJArylcM+RndmyoSWow5aej4gmF6QhFkm1DbWFCwYMjFIsQHV9kuPIx7miYu+WakXLh0Ck9/9XiQhTGwavqqIT+jx3Z+2PDhuPZtzMTK22fFQqJOLD9x4PYakiThsIhz3NSuqaVEQ8ZUMNIqau7Kju9KzMuNe8QjmiHefVhCrZ4oZnUk5NuMQGLVJHmo+u6pTTiohtp10ylwCu93xNKYENZgTKeNTjAiQhH1hOjhMK80i1tPL+fOaRth/Z/Gq2ujR9st8+JEtgt7Znr29GF99DNzPwOAammPP4e5fYupjRdpa4j/6le/wuv1UlxcTE9PD6eccgqzZ88mKyuLn/70p+P6f+fm5jJ37lz27dtHaWkpwWAwliyq09TURGmpiP8rLS3to6Ki/1tv0x92u53s7OxeP0mlTWSGe3ARVYRnfjiDT7GrmCxbFipRWmzaxJI9tPxRSrDpRRqcHD9z5NuFhZn2eNyf9vcyGptrOgHwqcLgHM41nJ41HQmJCD1IShe5rpHFz08kTV1Cuk7WFhozsoc3QQYimqSjQ6go7W8xriEO0O5vxx10IyENmWAE8TLpETXCVY++yq9eM6hnvE5U0YyGgxx0VwEDlw0/HD3hMWzJiy8XjRh/qxleHYpI9KrIrMCm9H2m7IclDethDVFLM11ouU4GDYGb1AS7kcJinPHbxDihKxMNha4zLildeHUjzohzxYcPifL2+1bzfxf+H+uuWDescQZgXcM6/nHwYRZVHuDIjT+E1344zp0dBQmKKQ6XCFOZnjN9WB+NPYdKU9wjHp64vKm0NcRzcnJ4/fXXeeGFF3jggQe48cYbeemll3jnnXf6VNlMNl6vl/3791NWVsayZcuwWq2sXr069v7u3buprq5mxQrhmVyxYgVbt26luTm+pfP666+TnZ3NwoULx7Wvg1IvJkiP6sQvCW+7XjlzMCRJiq2kO2xapTuDxm6q2srfg4uCjJEbmx5/OB73Z1DFhq11bpADBBGewulZ04f8jE2xxYocyPYmQ8dQ+zTdWn3XZrheDr06o80lwm4yjVoNTkMPaSjPLB9SyQCEDrfuYV5bVcX6KgN6igG6RD6N3+9nbbXwbA93MaWHbjz1yUZ8ujTcIMU5Uoa283YoJIyBBQX959nkHTYGTcmcgk22ESFIo6IlcnYcHL9+mvRPVzzHKWwX40WHf3jP09ElRyMhEZW7aZE1xY3aj5PexTFz6D3Y+gz3Pv0K7+1tjWn1D4e3a97mka2P8G77dphzFsw7x3jhN43bAOERj2jShcPJtYG4Ia4q7bRJugTlxC2IDTiiDY/HHnuMz3/+85xwwgmccEI8JjYYDPLUU0/xhS98IWn/17e//W3OP/98pk2bRn19PbfddhsWi4XLL7+cnJwcrrvuOm6++Wby8/PJzs7m61//OitWrOD444UO8JlnnsnChQu5+uqrufvuu2lsbOQHP/gBN9xwA3Z7ClUAtC3QNskJFuERP7ZkeDFVvrDYvvPafBAQ23qG21CNRpA0LdBuXOSNwusrScQ94rbxXeCNFrsix8I2JCRyHMMrzDM/fz5bW7ci21oNbYi3aYouUaUeCfAEh7foO2fGOTy580kUm5hQR5ojMJF89qG11Ch/Bmvckz8cZuXOYkPTBq44wcm5M+eMYw/HgJa4tl8tJiCJcaYie3jexpm5YoK0OFrwSJlk4J9Qfd9ho3npD7qFfGjiYlFNMFgOHyMtsgVZEv6wRlsEgkD95nHsqEm/6POEasfiEN7UweppJOJUnJRnllPnraPWBoSBYRq4E8pRX+ChA4W87p7BihGqSK0oX0EwEmRB4XL2zPomFXlOXEYLoWoTSjBtOMEi5oglhUuG9dE8Rx422UYwGqTGaoEIQnN9gkhbj/i1115LV1dfpQePx8O1116b1P+rtraWyy+/nHnz5vG5z32OgoICPvzww1hS6K9//WvOO+88Lr30Uk4++WRKS0t57rnnYp+3WCy88MILWCwWVqxYwVVXXcUXvvAFbr/99qT2c8Ro4STVioIkiQQ3fWU4FHq7gFUziowYt5mQbOGTM0ZcWRNg2bS8hEIbxtwydljjhrgerzgc9NAGYYgHDVvUp8Ujkqckq/BULSsdvFKajm4MhaQOkIKGXmxsr3fTFRqeZFoi+jmWF3lZMcuASg0Q82BbZk9Dz0cYrFZBInrFv7ClgcIi7fyM9hwmbGF/7BYhCYnPYaLjUO7HeNF3NVqt2kLRiEbcZEe7Lh6csXHm/FnnD/vjuvxdk1UbQ3OHF/Ixocw9k3O+8jNOOtfCs9W/YG392mF/9OSKk/nhih9y379snPnrNWypNaDKluYoO2i1IUkqLsU1rJw3HX2HuEEvptm4Ndk9HJC0NcRVVe036762tpacnOSW6n7qqaeor68nEAhQW1vLU089xaxZ8Wxqh8PB7373O9rb2+nu7ua5557rE/s9bdo0XnrpJXw+Hy0tLdxzzz0oSoo3JLTCETU28XecmTNzWElwABfOEvJ3Ybv4DkmNispdRqJdTIp+1UpEGl2p2gVl2fFM+AR5JCPR6g0i20XY02mVQ8tt6ehGnGwTC5YDBo2hfnlbA5LiBjmEIiksL1s+rM/l2HNiRo5sa2VjtQEXi4ix7IkvL+eIMjFmDFba/nCybCJJ0NCl7rUt3hqb2JHKtefGJr2h0GNYo2qUaq2cOM0GS5oOxQspVftE7k+GNb57lqjWc3iyJoiiMABdNu38Mkv6tDEZZ7TQyirZhSoFsEgWKrOGr16jV4vtsGrX16DJmlMLXNT4N/Na9cvUeUdegbwwy06uy2rMMveaclG1VYwtI7FnIF5xulXRFlNW1yCtk0vahaYcddRRsTLzp59+ei9jNhKJcPDgQVatGlpxwISYZ0lfxQ83SxxgWo6YIFVbGyralmvAA87c5PZxLPToVbZczC/NGtVXFGba6dCTN/a9AZ+6NVm9Sxpt3gBykfCIj+Qa6t5Gi5ZhHjCovF+LNxDz+FdkVWAfQVEXPUZQtrWyo96Yk6MkSRw1NQ/veuERX1S4aNifVSQx/u3r2M8H+9s4sjIHl81gw3pnLQD1snAN62XBh4MiK+TYcugKdlEb8TIToGnbOHRyDGhGnEdxENU8/stL44vFxI2m/nbzdYm8bqsI94sG3OnrIUtXNMN5v80BhKnIqsBqGb7zZlbuLPZ17qPLKhZTqt+AoZqte8Hq4gsLruKYkmNYVjK8nUUdVVX5/dVzyfr7tdj/tR0uewKmHj9OnR0F2nPYYBV/ed1GGS5HFR/FR40fxRdTmYPXOUgmBhuxh+aiiy4CYPPmzZx11llkZsbLlttsNqZPn550+cJJS9W7ALTZxJaoXR6+gVOZWSk0fuUgVXIGM6LdEDFYdUaHWCG7VRczCkcX351hs1CtZ8IbMDa13RukOxjBpXm1h5sFD8RLqCsdIIXo6jGmBOW0/Ax2eEZ+fgCZtkw6Ah3ItlbsI/COTDShaCjmoRqJpNgxpcfwyLZHCETCXP7wB7zw9ZNYPCW5O4Jjplpsge9orwUnTM0e/vmBUFhZU7uGnWRwMi2gGKy6pubQqM0Q402+I5+yzLLY25YEiyyjn0WS7nkNWIVnXe0x5oJxUrP3dQCqFSsQRh7hUuicGefwatWrdGviBZGm7YYzrtSHTkIK98D5b3LdsutG/PnLX7yc7W3b+UMwixW+VuPtgPeIkKIWq1gM69Knw0V/Dt1WEcI4kXlvRrtXhuS2224jEokwffp0zjzzTMrKyob+kEn/aA+SW1vFO6zDv3GtFisOiwNf2Mduq5MZgW7jbcfFqmo6Kcgc3eQdjETjckYli5PVs6Sxr8UDqMhaXKNTGb6yy+yc2cjIRKUosrXdsDHUbn8I2SbOTx1hpv5plafx2I7HkG2tKFFjGuI17T7+tXMtUTWKRbJQ5Bp+QbJjS4/Vit6EmV4UJRgxYJy/Vj1yv3asyBqZPq8+QX6sZvNVMF7oRqsoaV+rVe7tI3uX4Aa3KX3vwZIMcT5hq5cQIHe3jE8/TQbGJ8aXeu36DFdNRCe+mBLOGjXYk8TOJYFImLDFAaEgv3qnkWdH5gwHRN6DhETLsqvhglMgd2QL6nFnn1Cu61CEQykSHdkOb4lLPIc+q7h20R43E5WtYcyZaQgsFgtf/epX8fv9qe5KWhPJEosY/cYbbhUqHT1EYL8uteZpGqR1CkgoWGS1jG5tO7s4M1akQTXaQgOwyDKSpRvJIhZT8/LnDfGJOLIsx2TWZHsL2wxa5r7VG4glUNksI1O+ObJI6FUbWRlm7f5W7n//VQBkSY6paAwHm8UWS3y858pyjp6aNy59HBN5IlyqwSF23oIj3DnTjZxIrvZ3Mdpz2CL022tVcV5TsnrXVIgmLB77S9bUK8AiqTQoChYiE6phbAIUiUrDzVo0SmJo0XDQF5dRS5AuWUYy2q6NRWHblZu4fuYzlE8L0xUY+Vh/xwl38IeTX+PtfSu4b6sC9syhPzSRaJXCdcfi0uKlI/q4nk8UtPoIAdGWvUns3OCkpSEOsHjxYg4cOJDqbqQ10VAAnyQRUoSBcnTx0SP6vJ40V2XTRq9qg1X4O/Q+IGLE27pHN7HNLcmKVdoKG3DLuKM7GDNS8x35ZNtGVvRJDxOQrW2G1aGubvPFPOLDTdTU0c9PsrXR7gsSNqDHOMdppTJfLDBGkiCmo39mX+e+pPYraQTchIFuSRikC/L719geCK8WElaNuAd0zW7DoMUS77QJ4+tw/enE3ItoPzs6iqyQZxcLqBot0cyodRkmLWExB7Zp+VK6otRwcSpOrJqGeI2iIId7DKezfdTUPC5c6eEt7w/43prvjfjz+Y58OrvhuY11vLPHeLs2wbzZRACfVThoV5avHNHn5+bNFTlFkkq9oogqvhNE2hrid955J9/+9rd54YUXaGhowO129/oxGRrV76ZWS3bNsefEFBiGi77ibFAM6qnqFIVEPKqLWUWjW71bLXJMFinafihpXUsWbd2BmJE6kkRNHX0bXdK+w2hEo1ERmmIVijUj3bXRvcWy0o0qBQxZXXPV4jLOP0pIFh5fNvLkp9YeET//8sGXk9qvpOF306RYUCUJRVYGLHYzEHr7DkkVqZAH3kp+H8eClqBeq8V/61vcOr5ggiE+wDpQ37k5qHtSE5RYTCYAbe7qUoTxNdLwKYjv1tVYFWQ1DGHj7diH1TBFzqJRnR/AwrJsfnGixO0VG+HQB0nu3dgI+tw0WyyokooiKxS7RpZsKctyLHG6xqowCrXjUZO2hvg555zDJ598wgUXXEBFRQV5eXnk5eWRm5tLXp4Bt2cNiBzoinlghqvrm4juiWvWkiMoGn5YxISQLc7Jg5OVY9BYVuxaoqe/MwmdSi4bqztj8eHDLcmciB4mIFs7RlXwaLxp6w6C3INkER6r8syR3afZ9uy4coq1nQOtxjRwaj1CWWQ0E6Q+4WxvquXXr+9Jar+SgdpRRZ224K/IrBi2dKHOsSXHIiERkiTaZRk1aLBrqHmvu2wihO30qacP2LSfEHEgft0P6Ia40bTSJznh5t34JAm/Fl88mvnwmBLhRa/Wldw8zYO0nmCad8JzX+GzDQd583Nvcuvykat/eYNe/lX9R7b4H2Lxxh/A1r+PQ0dHjxz0UqvZM2UZZSOO84e4TVOjKFjUcGynZLxJu2RNnbfeMphXJN0IB1GiAWoV4QUfbjnfRIqdwgBoV4Rol2SwyUO12EUlRtVF4SiTNQHaInoSq+EEqdha24lsE97iRO3i4aIXj5Gt7bSPMnxnPPH4wzGPf74jf0TJqDp5jjza/e3I1vZ+VSuMwIEuEWanS0qOhFUzVvF+/fv4epxsqulMcs+SQMhHrV2Edx0ePz0cnFYnJRklNHY3UmNVcGVMYeR3wTji9xABGqL952kk3nM2pX/jQDcAqq1amF9XLZQaLzl8shJuPRDbHQaJbPvIQvxA6FC/U/sOB60OwC0qPeYbpLBPZzVseZqd8mxqCr/AmYtKh/7MYVgtVh7e8jAqKjfPPp2C4pHtbI03sq+FOoe4ht5RKpzpC+JYiJjfDZnDT54fLcaclYbBKaeckuoupDdacRp9Baln7o8E/TMBSxS3LJNjsNCUUI8bG+DFQX7G6L29HlkMylY1IOL+DFTa16bISJIwVMPqyOUH9VAIydpBa5vBMv0RHnHd4z+S0u+JHFt6LK9WvYpka6fDZ7zFxtV/XMc+yz6QROGakTInV5S2z8l2c8OKWUO0nmBUUWVAH2dGIpGaSEVmhTDEFYV5Rtvy3/sqLRYLIaIoktInNCUxLnygocMTFF71Ot1Qr98E88x6GBNFxOKkTtPkzxhlIZfYYkrRFlNGkrstmM2jri+xvUvhzFHOX3aLnWsXX4tdyqKq6GwySksZmUDg+CKHfdQpwhmV68gd1XcENA94LESsq2ZCDPG0DU0BePfdd7nqqqtYuXIldXVCg/evf/0r7733Xop7lgaoIm5RHzQumn3RiL8iz5GHVRYGbq1iIVSzPmndSwaeVrHd78OFwzp6IaJZlVqcMaqxBlfAZVNiHuMjC48c8edn581GlixIcoSm7haiAwWxpogWjz92fgWO0YUX6SE7srWdNq/xDPHtTdWxzZalRUtH/Hndi+MNd7Bk6sRVgxsWYT8S0Zi3MRwdnVa9Hn9ba1VwRgwWmhLsjnnQcuw5fbbEo5odLkn0Ww0a4lX9mq2IOPhRLjpNRkfU6ozdoyNN8tPRy9zXWTWzykjF7QpmccIXf8j+Y+p4peleQpHRJSJ+c9k3+eurM7j0d5vZ1WighGJVRSESW/CfOe3MUX2NvoiOecRbJybUL20N8X/84x+cddZZOJ1ONm7cSCAgBq6uri5+9rOfpbh3aYAW11irGeKjUWsAWFSwUPsehZ72kZfMHU/kNqEiEZLGpgY6o7SQsKo9KgYrYtDi9Yry78DKKSOfQBRZodQltiklaxstBjNUX97WGFOFOXfm8Eu/J6IbqrKt3ZBl7m+7SGxf59rzKHQVjvjz2bbsmJToxqaNSe3bmAnonl4xsY1UUkxHS9OkRrHGdvMMQ9G82Pn1t9DQQ74GE9E4puQYJGSCMrRaZMgZ3XhsMjpUvzeexzDKREZd/79dkfBLkuGUb2RbB3vdW/mg4d0R52kkUpxlJ89lxRc0UAG4kA8ZNbajNDt39qi+Rp9DGxRZjDijdByMlLQ1xO+8804eeughHn74Yax6XB1wwgknsHGjwSYjIxLwEAXqtdX7aAcfPeazzqrQYxl5XN14ojufXBlj61dBlgMPmqexcesYe5Vc2vxNSJKKXXaM2mNc6BSfk2wdePwTJ9k0HJrdcVWY0d6jekiLZG03ZJl7V4aQ45uaPTrjK9HL+vzutfhDIytkMa5oxWlqtTH6pIqTRvU1y4pFBZIaqyIq+BpJZzvsj3lTZ+bO7PN2onzhQNgVO4Vazk2NYkU1WL7NZEcNeGLe1NEkvQNMy5qGrEX71isWYxni3W0UhSP88oSf8u1jvz3gzsxQqKrKny6w8Hzed1n5hoEqmAfETrX+HI4m1waEhCFIBGWJNlmGUYa4jJS0NcR3797NySef3Of1nJwcOjs7J75D6UbNOpotFsKSBEh94hqHiz5o1SoKVsVYKQeyTRjPWQWjG1h1XFYLXlVLDzNQ1btgOEpXuBGAElf5qAdXd1BM+rK1HbffQF4OYHqBa0yqMADz8kTynGztwIi5mrpiymgnD4Bp2cKr/tymauo7DRTr37QdnyTRrlWdHO05njjlRCA+0RrKK55gxJ1S0Td3KUtLIFOG0EObpi3E6qwWAj6DaaVPclwRTzw+f5TIssyUDPEc1ikK0QPvJKNrScH/1t1k//ZY5n28hkvmXDLq73m16lVOfesr3Grrho6q5HVwrPjd+CWJFmX0OW8gQuByrGJXss6qTNhiKm0N8dLSUvbt61vA4r333mPmzL5eCZPD8DTG4qBkrKPeqvJp1azqFAU5aCAPAGAJiVWyPTNnTN/jDYTjHvHs0RtLyeZAixfZJkItAlHfqL9H1x83Ygx1u8+HZO0EhGrKaDii8AgkZCQ5jGIzVox/fWcPz+56BQDLGEKo9LjW3AwIhA0U559QqyBDyR5xrQId3YBvVSxi238Ci20MSVdtLKyhP1UYXSnFMoQhbpHFdFyrKAQOGEujeVIT8qNIkTGHpgBMzxGfrVMU/B0NSeleMnD7/IRVmdf3jy2/QpeP9RfOg2sNVLegYZPYhQBQZQodIw/x0ylyiXmmTlGITlDxsLQ1xK+//nr++7//m3Xr1iFJEvX19TzxxBN8+9vf5mtf+1qqu2d4IlnlsQmyMmvqqL9HfzBrrQqWoLG2U61hYXSFrWMrxTuj0BUrc2+kokVRlZi3OG8MW2hnzzgbEKEpuxqM5Ymr89YhSVFUVRr1BGlX7BQ6RBx8q984kyPA+kMdVHVVAaBIo3fX67sFy+fCgjIDhYjlTIl5iyPq6I3nHHsOTotYDNcrFmPpbHe3xMfSzL7hRVEtW7O/8va90GLI6xQFv8dAHv/JTtBHmyzTI8uAxNLCpaP+qmlabH+9ohAcww5Xsmk/+Q6unvk7Ns4+I+Y8Gw0LCxbyu5WvMiVyJw/tGr0kcNLxtcUWUtm2PGR59KatX0sGr1MU/LvfTEr3hiJtDfH/+Z//4YorruD000/H6/Vy8skn8+Uvf5mvfvWrfP3rX0919wxPTygSmzyOKztq1N+zonwFIAYeOdCZjK4lh6APmyq8u43dY/MQLqnIxaeKQSfsN45iQ2dPvLz9p6d9etTfk6gq8pHBytw3djcBkGMtHFOCkb5gdIebktKvZJHlULBpJdKXlS4b9ffontiDXQeT0q+kEfAkVO8d/QJBkiSiiFjrWkUx1ILYZ7HQqnnjcu25fd7v0Spr6gmnA7GsRFz/OkXBK49tF89kBIS8IgwByLUV4rKNXnmoU5sDa60KwYhxStzPL80mmPcP3g/8mA1NG0b9PYqs0OqJ8tzGOt7b25rEHo6NaE5lzBCfmzs2fXN9h7jOquD3Tsx8mLaGuCRJ3HrrrbS3t7Nt2zY+/PBDWlpauOOOO1LdtbTA7+2KeapGq5gCMD17OpIqE5YkOizGGXjwNMZ+LS4cXbyYTrbDih9hiPvqto/pu5JJR3colsg4P3/+qL9HN+Jkq5uIaqzQFE9EVKcrd80Y0/dkKGJyDcuttHqNo0N98pwCsIjF3fLS5aP+HgvCEDzkPmQsCcqAOzZBnjHtjDF9lR7WUqsocPDdMXctKagq9ZqjW0JU9DucZo+43/yhwa+L7tSosypYJANdw8lOwBtbLOZZ+16/kaBf/zrFQqTHWLuLhc5CCp2FoyqqlciSilx+d2wLt5Suh25j7Nx4ve6YPTNtlEnvOmdNPwsQ40yrMjbbYbikrSH++OOP4/P5sNlsLFy4kOOOO47MzLGFIPwn4W06GBt8SjNGXmVLxyJbyLSIeKwGm2wcNQNNJ7VHtbFi/tgGHlmWiEjCa9nTYhyP4+aa9jEnMgLk2fOQVHEvSDbjeIwjUTV2fjNyRx8+BYAkvJKytZ19TcbZ1Wj2NROOhlFkJVaqfjQcUXRE7PdfrDaIkQpEDq2LTZCzcsdWbEjXBq6zKkQ8BrlPg92xJL+ZOTP73RKXtdhwyxChKXocfJPFgi1qrFyGSU1HVWyxmGPLG9NXnVwhBCTqFAV3S/2Yu5Y03ryT/w1m8dbpjzAzZ2w5dHu8a3i37Vc07rgD2vcnqYNjI+Dtil3DWXljM8T157BesRDwT4zTJm0N8W9+85sUFxdzxRVX8NJLLxGJGEiyKw0INu2OTZDqYAK3w6BAk7+rVRTjFLzRkrnGWlVTJyCJ72gKGScu7uPaKiSLkObrzxM3XCRJQtZi4Bt9tUnpWzLo6gkhaR7/GXmjXywCHFm8BADJ1o5iMU5l1F3tuwAodZX2KQQzEjJtmWRaxHO4valxiNYTR3fT/jFLiunoyjB1ioLHZRCd7QTFlOk5/e/aFGeJ+oNZzsFDqwqdhSgoRCWJ1rCxvKmTmXDTjlhoSlQaffw0wJw8UeW2y2KBgHGew/YPn4CPH+b19WPf0d3aupUX7bC5dB5YnUno3dgJN+2OGeLuMeaq6blIDYqCS5oYp03aGuINDQ089dRTSJLE5z73OcrKyrjhhhtYu3ZtqruWFnRL0G4RE3+iN200BKMJsZtjSARJJlG/UHDxqs6kGOJuSWyLu6PGKeobksRAr0btOMc4IE7LEt7KEAZZSCEKoegecX9kbPeVLisnW9vp8BlHceNnb/8DgI4kZOfrOuTHzx3zVyUNr70wpmYwWtUbHX2CrFUUwiGDVJ5s2ka9ZgDoeQiHozs6hlr+SZKEJSJ23lokA0lQTnK6w8Tu0YVFoysEo5NhzcCp5RO124wTqvlq9qU8EL6ILvvYQm8ATqs8ja8s/jqzj72LQOHCJPRu7ATbDtI4xmI+OoWOQiRVIixJtPubk9G9IUlbQ1xRFM477zyeeOIJmpub+fWvf01VVRWnnXYas2aNbQv0PwFPRgYAdtU6phhxgNlaEYs6q4LadmDMfUsGLY2HAPDiJNthHaL10GRliUSzXMU4OttWu1itZ1rGZuAAlNinA8ZSFWnvDsakC8cSAw8J1TWtHhrdxvE2dgREjGWmkjvm75qTLzzGNodxzk/OdeCXx6YhrpNjEwmMdVaFfItB4vy7m2nQDPGBVG90c2xI1RTApsmktijq4KU4TZJGj5JLo0UrjT599EnvOplaom2z1TjXz3/SEt45Jkxrzo4xf9dxZcfx8PPT+O+/dFDdZgzHWydWOjTH4rGlx47puxSLgl1fEEcnJik8bQ3xRFwuF2eddRZnn302c+bMoaqqKtVdMjytUeExzpVGp+ubyOnTTgWEp6qr+dCYvy8ZuA98DIBPdeC0ja1QA4BTq86pRIzjqfJFOgGYkT1nzN9V4hLePNVijOQbgFd31CArwkOv62SPlmxbNhatKNN7VbvH3Ldkcfw0Eft+zsxzxvxduqrMWzVvjfm7kkVTQCwKsiVl1BriOlOzxd/KK8u0Nm0Zc9+SQkYxDZonbqCCWrUdwljxBIZexM/MFgpWjVbZMLuLk52O9rbYNRxLvpSOGhVmVZtsnJ23lmAVe7q20B1JjtJJcbYI+fQO456eCPZpidDWqEyeY2xx/gDFish7a1cmZjGV1oa4z+fjiSee4JxzzmHKlCncd999XHzxxWzfbhxlC6PSihjk85Wx37Rz8+Oxmy3+sRu9yUDSkjVD8tjDUoC4Rnq7MTz+AO6Q2DYrzeh/S3wkzMgvAkCydo45ZyBZHOqqE79E7WTbxqaNLUkSkYgIK/qkdetYu5Y0/KpY+Oje7LEga8op+zuqCEeMobrRrMm5TXeMPhFVJ8+RR7YqjN2Gtp1j/r6kEA7EQlOOKupfBrZbM1aGc03ml4hFdZ2igK89SZ00GYx9rXUEZBlUkasxVgq1/IUWRYWwAUKoohE+U34Kv1x5R6xmxFj5+9Ef8tf877Cg6o9J+b6x0oVwLGZGnKOuMJ1IpiJ2UJtNQ3xwLrvsMoqLi/nmN7/JzJkzefvtt9m3bx933HEH8+ePbRv7P4EmxNZuNDD2CbssU8SdtVlk1DGWCU4WYS15MeIoSMr3RWWxVaVGjOPl6NIMcV21Zixk2DWvnuKlJ2SMxOecLDG4uuTCpAyuNm33R5WNo5Ve3y2UFcaSbKuj65B3B6K0dRtDvajWXQ1AfpIem3Jt279KNUbCrb+nPZZrc1RJ/4Z4UaZYAGY7hw6RW1CkaRgrCmFvS5J6aTIYHW6xMM+MyFgtYw9jXFggZEhrFQUMEKoZ7axl5sNn8um/Xc/snOTYRpfUPMtlmRH2d/atbp4KvLKYK3Lk5CSPlmYmLKYmwDGVtoa4xWLhmWeeoaGhgd/+9resWLEi1V1KK9q0lZ5VGrsKSK49F4sKqiRR3WWM0JSQT2yJR23JkbRsVER8a4CxD9TJIBqNIlmFQWlJwhbowkKR4CIpXroMksy4q0PsbMkkJ0F2adFSAJx2Y2yntnl7qPUIlZrcMVRG1VledhwAsqUHT8AYMdS1FjHFZJKcap8OzVNVNQaFmWTS2LQJAKcqDbhrk2EXHnOXdeg+l2bF4+A7dq1JUi9NBqNLFs9KZmT0BcMSObJc5KjVWhX8Lak3xLu9biKqREfEMWRRqeFSmTODIlsOngXnJuX7xkq7JvdpS1IRpXklWoVUqwWC46+ckraGuB6SYrEYY0AeCb/73e+YPn06DoeD5cuX89FHH014H1oV4VE6onTpmL/LIlvIjojvq9M8YKmmq1Ns6wbk0VdJS8SZLRIinRhgqxERbypriYzHVcwb8/fNyxffIUkR9rZOTKb4UHQERD8UknMN5xWICbIrbAxZsbertoiJUR2bDrxOgaMAh8UBkorVboyEzTrN+Ay6kuOpmls4HYA2xRjP4aHmbQCUR9UBd22iumrKMHZ1ZmoSiO0WCzurx55YZzI0XrtwRhXKyVksLisX4UU1ikK7P/W7i96c6Xx+5s+5ofLn2CzJMfmunfcAS+XfsrN5cVK+b6x0aY7FMmXswgUAWVpOWK2iEGwZf69/cpaAKWL16tWsXr2a5ubmPtXk/vSnP6WoV4Pz9NNPc/PNN/PQQw+xfPly7rvvPs466yx2795NcfHY4yiHgxry06CIB/L4GSck5TtzIzIdSgRvhzF0qKMdVQB4e5LjGZxXWQp7IEMyxpZ/XVcHkqYccWLl6Csy6tgsNtSIE8nSw6b6ak6ePfaY5bESUsX5TcscmxyVzrKyefx1LwQtNXR2B8jNSK0mvD8i8g4UyYVDGbvXX5IkZubOZEfbDt6tfZdpC1N/DVu0iX9+cXKuYUaG+DvtURBFu5IQSjAWtkW9IIM9OrAnrjuoxYgPo+JpWWYZuWGZTiXKlkCAk5PWU5OB6JDEoq7UnpwqiuWZ5SgqBGSZT1r3MvYMnrERlNrZze9wOp3AFUn5ztqOAM9tqsMbCHPtCWOrepwMWjVLtjw7OXKKK6YcDRuhxWKhpbGKKRVLk/K9A5G2hvhPfvITbr/9do455hjKysqSEkM6Edx7771cf/31XHvttQA89NBDvPjii/zpT3/if/7nf4b1Hd9+aBVFBSXYrMKQ6O7x4At4UCxW8rKKYu3auhqJqlGyXPk4bGIC8/m99Pg7ackWnqq5pWP3pgJkhS1gj/AxVXzz4bPFxBQME7I4cDkz8IbdoKpkhCOEIipRRx4WS5hAxI8tqiIFw4RlO05XZqytKxwhrLVVLGH8/bTtDntQVRVXOEw4ohKx52JVouRl1LFfymKnrRnPtj8DsLl5M6FoiEUFi3BZNZmwnhaquqrItefGijEAbGnZQiASYH7+fLJsWTS7d/FJThZ+tYetvz+HTGuGiKsO+vAEPfiiMoolk1ynE4sUJeRrxxMJEZJdZFoze7XtiUrIlixyHQ4UGa1tkKDsJNOaRabdAsEevEE3vqiEbMkk1+FEkSXCvjbc0SAdWCET7BGF7Nd/DF01kFUGBQnSnVXviWPlcWDRklY7a6DzEGSWQGGC2sqhD8iLqHRaYN32H3PbwSK83V6UiB/VaiFkkXFYHESjVujpQJZV/IoCskyOLRtPdzdKpAfVKhOyWHBYHKiqlaivA0VW6VEsoq09B4/XhxLxgVUiaFGwW+xIqo2IrwtFjsTaWqVW/MDKxnXw7HVQtiTe3/pPIOiB4oXg0rwgPR3QtB2sGTAlIV63cSv4u1iRPxtJlZCtXdz614spJgKSTIdqwx/pwWm1kSsBkRBhxUVrsAdQKXRkoAS7QZLowoEv7KMoS2GmzQKhbkL2PPZ63UQJMyu3CGd3K0gy9XIebT2tZNkdTLfaIOghYs9lt7ebiBpE1mKHl6DC+/fH+9u2HzwNkFMJeZoxHQ1D9Yfi96krQa/g2FEFXbWQPQXyZ1DYIRJcn/3gbtwfPoyzcAZdIS9dgS7CvjB54TC5eflIGYXUeGrpCYXJ9wXIsFpwFk3HHfbR5e8i6AuRHw6Tk5uHnFlErbeOnmCI3J4gGYqMq3AqnmiATn8Xge4gBeEw2dk5WLJLqPPW0xMMkd0ToE5TLDpx6qeGOZIMzokzVvHnfc+yx2bjp3+5BGdmFt5IG5LfTbnFSUMkm4jFSabLT7e/k5xICDnqoN1SSJbDgjfSSqDbhxJ24YnaiUpW7LYwwbAfezSMRbXSLWVgt8oEVS+EA2RL1oS2EYLhHmzRMIqqUGXxggOc0Vz+9x1RZXDdwTZUFY6emodNkdlU0ykuq3d4i/jScAadioeNbOGbvz+FSERGVvLJcigoFgmvr41gOAhSBlZrBlkOC+FwEK+/jUhEQlYKyHQoHDfrTDKVNnY2bkeVT6Jy+tlcuHQKXZ1VPPfeHbS4o+RM+QFnLy5jaoGLNevuY1v9ZsIcS/nUC/nMsgq6vY088/atNHuC5Jb/mE8vLGFmUSZrP/4dn9R9TChyJMWVl3LZcVPx93Tyt9XfotkdIKfsh3xqYTlzS7L4eNMf2XDoPQLhhRRUfI6rjp9GOOTnr6/eQIs3QFbxdzl5/jQWleewcctfWX/wTXzB2eSWX8EXNSPv0Re+TIvXT2bBf7Ny/hy2bvtftteuoSfoJapakZUc8lxiUdblbSIciSBb8nDY7TitMv6Al56gh2hUQVZyyXVZkSTRdp/iBmScak5S7lGrxUpRSKLBpvLvfU/y0cNv0S3LhKIhJNWOEujGZgHZkYUn0gNISCEFa8SH02HHJyuEokEk1cYSaTanlRSSv/ISnm1ci4QFR00F01vf5ujFi/i4uII9HXtwRmZRvGsT0x3dlK24hKeaPwDAUTsLW/NzLM6ehdOVnzQ7aXmxykNHV1Hv/iXv1PyE6rrp+AJhPp+/j5eq/0EgZwqLp36JjQeDTMtRmNH+R9b66pi6+DJamufR1ROi++Dt1PqqUWULdmsu/qCKYpGwRzrxqSEUWxbRiINIVCVLCdET8hCRZOy2XPxBsMgSjmgXPjVIjV0shPOcY99ZBJiVNxN7VCUgS/xq/QOoH/8GixpFkbPwq1YcNguRaDfhkBenZMOnhd5lOmS6/e3IahQ1MHznStoa4g899BCPPvooV199daq7MmyCwSAbNmzglltuib0myzJnnHEGH3zwQZ/2gUCAQCC+Bet2Cw/ae9mdWBRPXKDWof0AqAlhBbGdto54W7v2g4QzqjIlZ+xZ4gAuNRdoZkNGBKiN90tHFy+JOSG1EtV6ZFGy2xbIQB5Qx8sb7u3V13frhl8CvFfbfF1hpkYcVMCq/QCQ8LePRVO0D9C2pZ+2jLjtnHA3rB8ic33va4O/r7GgtIgPcLLV1cxWmiGjn0aWxH4l0F9boE9osFo7/LYaJ3dthJYPYduzfd8c6Nx2/F+fl1y8xpKyEj5x2FnjrBmgEwkknufhkRUqxKKUelri96YnQR4s0iRG2Ij2c3hbbbOm0tMCr/9o6P7oDHI9z81wsaa4kP2KyoO0Q0eC8oZ+T/k7wZ8Qu6qfW39tA50QOBh/XX/2OvtpG+qEtkOHtZWRVZWpCYvcsXBM6bHkRiJ0Wiw8ZakCXU1UBlQvyC3i2iSGdcpdoDbF21oBLawrxkAzYX+iS/20DboLuOvlXb1ee2t372RLizw8I2i2o4xdePjYFSY2fqDdVyoJ92LC2GIh4bkSSjzSgSjdlgZej3axpKmbdxoXcuHSKbR3VnFv20dkRaLUv7yLuaVZTC1w8cr+f/N8qIWlLW201yzhM8sq8HgbubftI6yqSvvLu5ia72JmUSar9z/PM4E6jmptoPbgUVx23FQCgS7ubRNhlr5Xd1CUncHckize2fc8f/Ht56j2Q+zdezRXHT+NaDQUa8sbW8h05bCoPIe1+1/kf93bWdq5jy07jo0Z4ve1fkhEkrC/swHFXsDm2pdYY2tPuD5N8Tku9nfoiP99bCS0bY6/ngF6hG6uPXm+6+KwiwZbN+9lBYHD8qZic1VjfCwYQNxrWkMT0+p2Uj93EfduuBeHxcHRO87hf233E/Yv5/VFK/nH3n9wdNblfGv7M8yUD9IxZwH3anPesr2X84jlL5x95NW4ypO3v5Kj7uOdll/xocPBcQdf4p33zqTR7eczR7/CQ9736Gi18DXpDO5+uZNVs12c0fUI9xYWcNp+J9s2fYYDrd0sm7GRPbFr1dTPc9XeewxOvH592oo/5JKpyQmVkSSJkpBEtR1edyY+x4fJP8b6lBDuqM3REXn4YUlpa4gHg0FWrhybtvBE09raSiQSoaSk9xZYSUkJu3bt6tP+rrvu4ic/+Umf14/0WsnEFSuJHQqHCKshZGTs1riV6g/5xBhksWHRNIZDkRDhaAgZiRUV5yRthXzZ8d/H8tEdhCU/YTWCooIUVYlIFhRFIRgNggo2VUVVIWqxI0kRwmoEiwpyrK2VYFRYOLaoiqqqRCx2ZEklrIYT2sooipVQNCjOUW8r27FYVELRMKrFQdncFVgU8TRva91GKBpifv58nIqYzdp62qj2VJNjy2GmVpgIYHvbdoKRIHPz5pJhFaNF/c41qMFuoliwyjasFgkiIYLREBEkwIpdUZBRiUQChNRoP23Dmk0WbxuNBAhqbRXZKuL4omGCkVBCWwuyJBEN+2NtbZKNK7PKYboPuuogqxTyErYJqz8EVJiyLO4Rd9dBZzVkFkN+gve8dh2f96tEowoRCWwWO6FQCIsaJipLRCQJq6QQRUYKB5AkCEkSkgR2i53gYW1FcRMZYm0BScLRb1sLYIFwAFmCoNbWbrFTHJRYmCFDfjaUJAyyjVsh6IWieeDUPOL+TmjeCVYXlB0Zb9u8HfxuKJzDZd0+rN5mrBYFORoCJAJYiKhhLLJFzJFqhKis4I9EABWHxdqnrdMGhRYJIgGiSgZNQT8QodCZhTXgASQ65Qx8YS92i0KBRZyfqrhoCgZQiVDgzCLL7+EaNQeOXBXvb8dB8DRCzhTIEdrZqGGoEdr4VC4HSfOIdx4Cdz1kl0HudE6NhPh06wakaBBFllGyCumJ+PGFeiAUJTMawe7MAHsW7f42whGVrFAYqyxpbYP4wj7UYJSsaASbw4XkyKbd3044EiUzFMEmg5JZiD8awhfuJhKMkh2NYHM4kRw5dPo7CEYiZIQj2CVYWbCAjMzkbPvLssxPS0/n+Zr38EgZOGwSgagHwkHysNCluohIVhz2EIFQD85oBItqxSNl4rDKBFQ34WAUOWojpIr72WKJEomGUVQVGZkgViyyRIQgqFHsSIRUC1EsWtsIFjWKBYkgNhySk5yyr3LpVJHQvf5QO6hwZGUuVi00p8nt56Q5w1M3uu60n9Dz6jfxRbwEI/pqz4FNkZElCIX9RNQooCDLCjaLTFSNEgz7E9pKzCg/Aoe1GEvzDmxFiymfLkIfM11FXGAtpjsMlqMrKM0Wc8ZRRUsJN2zCmn8ER1WK6+V05HKBtRhPTwTr0RVMyRPj5pLipXjqAlhzj2BhuXDmWK0uLrAW4+4JYVtaybQCYZEsKl7KOdVdWLIXMWeOUAeSZIv4Xn8I+xHTmFUoxtj5xUdybnczUsZcpk+LG8bn20px+4PYF85kTkkmnobFBNo/JhwNAzJINhxauGVAm/fAhmKxoMgSkUiIUDQk2mLDYdXb9qCi4iKf//rst4Z1fYbDpYu/i/OTe4AAFotCSIKIGkXGghwJI0uAYiMYDSEBUlTGooaRLRbCkkxEjSBjwWabTk3xPDKzp3DBrAtQJCu5kQV83L6KpbOXcWTRHELREAXSfBqKTyHbsYSi7AoumHUBAPnyPDa1nsmRRMRYmSSKZpzGtIoTkLsbOLJkGRlHlNHVE0KqWMaqqt1055Qxu7CQS4/OZFGRwrTWU7gg1MzC0uMoX1RKiyeArb2MHG8rUUlGkW2EIyBLYCFISI0iW6wQtRBVwSZHCUeDA7eVFWZnL+SExScm7RzPKb6W9XX/wKqoBCMBZFVFlmyEVRnFIhFVQ0SjYaySTEgV86tNgWAkiKxGifjtDFdkVVKNIho8Qr73ve+RmZnJD3/4w1R3ZdjU19czZcoU1q5d20vl5bvf/S7vvPMO69at69W+P494ZWUlXV1dZGcnJ7HExMTExMTExMQkebjdbnJycoZlr6WtR9zv9/OHP/yBN954gyVLlmC19t4vv/feewf4ZOooLCzEYrHQ1NTU6/WmpiZKS/uGiNjtduz21CaUmZiYmJiYmJiYjA9pa4hv2bKFpUuXArBt27Ze7xk1cdNms7Fs2TJWr17NRRddBAg96NWrV3PjjTemtnMmJiYmJiYmJiYTStoa4m+99VaquzAqbr75Zq655hqOOeYYjjvuOO677z66u7tjKiomJiYmJiYmJib/GaStIZ6ufP7zn6elpYUf/ehHNDY2snTpUl555ZU+CZz9oYfz6+opJiYmJiYmJiYmxkK304aThpl2yZqXXHLJsNo999xz49yTiefAgQPMmjVr6IYmJiYmJiYmJiYpZf/+/cycOXPQNmnnEc/JSY7ofjqSny9k2qqrqyf13+HYY4/l448/TnU3xg3z/NKfyX6Ok/38YPKfo3l+6c9kP8fJfH5dXV1MnTo1ZrcNRtoZ4n/+859T3YWUIWvV9HJycia1fKHFYjHPL42Z7OcHk/8cJ/v5weQ/R/P80p/Jfo6T/fwgbrcN2mYC+mFiMiJuuOGGVHdhXDHPL/2Z7Oc42c8PJv85mueX/kz2c5zs5zdc0i5G/D+ZkQjEm5iYmJiYmJiYTDwjsddMj3gaYbfbue2228wiPyYmJiYmJiYmBmUk9prpETcxMTExMTExMTFJAaZH3MTExMTExMTExCQFmIa4iYmJiYmJiYmJSQowDXETExMTExMTExOTFGAa4iYmJiYmJiYmJiYpwDTETUxMTExMTExMTFKAaYibmJiYmJiYmJiYpADTEDcxMTExMTExMTFJAaYhbmJiYmJiYmJiYpICTEPcxMTExMTExMTEJAWYhriJiYmJiYmJiYlJCjANcRMTExMTExMTE5MUYBriJiYmJiYmJiYmJinANMRNTExMTExMTExMUoBpiJuYmJiYmJiYmJikANMQNzExMTExMTExMUkBpiFuYmJiYmJiYmJikgJMQ9zExMTExMTExMQkBZiGuImJiYmJiYmJiUkKMA1xExMTExMTExMTkxSgpLoDJsMnGo1SX19PVlYWkiSlujsmJiYmJiYmJiaHoaoqHo+H8vJyZHlwn7dpiKcR9fX1VFZWprobJiYmJiYmJiYmQ1BTU0NFRcWgbUxDPI3IysoCxIXNzs5OcW9MTExMTExMTEwOx+12U1lZGbPbBsM0xP8/e+cdHlWZ/fHv9PRJ74XQCV0QiCBdUFlXVnYVbKiIKyKusq7C2hv2uhbWir39LKtgQ6pA6L2FFkhCeptJJpl+f3/c+95kSJuWmXvD+TwPj2bmnTvvtHvPe97v+R4ZweQoUVFRFIgTBEEQBEFIGHdkxFSsSRAEQRAEQRBBgAJxgiAIgiAIgggCFIgTBEEQBEGc55gsdhTVNAZ7Gl3Gt7uLMfmF9Xj19+PgOC7Y0xGhQJwgCIIgCKIDiqobccuK7Xhn48lgT6VLOFZej4ufW4eLn1uHLSergj0dv7P1ZDX++dU+nKoy4eXfj2H9scpgT0mEijUJgiAIogtxOp345WA5osM0uKh3fLCnQ3gIx3G4+u08lBrMWHu0EjqNCjfm9gj2tPxKg8UOjUqBASlRGJMdF+zp+J2nfjqMljnwD7ecxqR+iUGbT0tkFYhfddVVHj9m+fLlSEyUxptNEARBtGbl/hL8sLcE88ZlY3TP7hcE/P3jXVh9pAIA8Oyswbjmwswgz4jwhA3HKlFqMIt/rz1S0e0C8QsyY7B16RQ0Wh1QKrtfw0D2+U0dkIjfj1RgfX4lDI1W6MO0QZ6ZzKQp33//PbRaLfR6vVv/Vq1ahYaGhmBPmyAIgmiHfUV1uPOzPfjtcDnmfbgTZ2u7n0bV0GQX///rXcVBnAnhDb8cLAMAjO3NLxL/OFEFQ5MtmFPqEhQKBcJ1ssrPukWpoQlVDVYoFcALfxsKts74bs/Z4E5MQHbv+GuvveZ2hvv//u//ung23Z/C6kYcKTNiYr8E6NSqYE+HIIhuxgu/5Yv/32Cx49/fHcSHt4wK4oz8T3xkc9Zt5+lalNQ1ITU6NIgzItyF4zhsEPTE8y/uiZI6MwqqTNh5ugZTBiQFeXb+odxoRly4FmqVEmabA2uPVmBfcR2WXNrfLR9sqbOvyAAA6JcchegwLcb0jMOWk9WoN9s7eWRgkFVGfN26dYiNjXV7/M8//4y0tLQunFH35uBZA6a+vAF//3gXZrz2R7CnQxBEN6PBbMcfx/nCsAEpfJOybQXVwZxSl+Bwujo0bD7R/Yrhuiv7i+tQajBDAWBUj1gMz4wGAHy1syio8/InN3+wAwMf+RVbhO/los/34L8bTrnIceTM3qJaAMDgNP4cM7FfAgDgSJkxaHNqiawC8QkTJkCtdj+JP27cOOh0ui6cUffmhd/yYbU7AQAnKkz4+WBpkGdEEER34hfhnKJQAC/9bQgAwGJzwmjuXtv+TVYHACAmTANAOlviROf8crAcAKBVKxGmU0Ml6BryTnaPBaPd4USpoQkWuxOZcWEI0ajw56GpuH5MJqRj8OcbX+/k5WBqJR/yskX/kdL6oM2pJbIKxAE+GH/88cexceNG2Gzd62QtJeoardgkZKqiQvjFD2VxCILwJzWNVgDApH6JGJCqR4+4MHAAdp2pDe7E/MzBEj7zFqLh5X07TtcEczqEF4zO5nfjxwquNxa7U1Je1N6iVimx68FLsPafE5AmyKVevmYYnpw5WPxb7jA9f3ZCGACgX1IkAKCgyoSaBmvQ5sWQXSCenZ2NDz74ABMnTkR0dDSmTp2Kp556Cnl5eXA4HMGeXrfhtTXHYXdySIzU4YmZgwA066wIgiD8wb5i/pwyskcMAGB4Jv/fQ2e717mGBWz9k/kAwO7gYLZKQ59KdEyh0OBmfF9eznDpwGQoFXwgXm60BHNqfkOpVKBnQkS30IOfi93hFP9/Yl++vjAxKgTslW49FfydDdkF4itWrEBBQQFOnTqF//znP0hLS8Pbb7+NsWPHIiYmBpdddhmef/75YE9T9mw7xWdsYsO1GCVkAg6XGmGy0MWDIAj/cETIFA9O0wMA0mL4DNzqw+VBm1NX0D+Z3wr/y/A0xIRpwAE4UWkK7qQItzhdzX9OPeLCAfC7Gj3i+f8/XiENaUNXwHFct3CGKTWYYXdy0KqV6JUQId4eH8nLlqsagr+Ykl0gzujRowduueUWfPjhhzhz5gxOnDiBu+66C1u2bMGSJUuCPT3ZoxC+GZcNTkaKPhSp+hA4nBw2kTyFIAg/YLbaUVDFBzmp0SEAAK2KP/EcLpVGEZW/YMWaapUS/YSseH5Z9w3iugtOpxMnKngL5JYuN9lCUH66Sv6LqY/yTuOJlYext6hOvO1MtQlDHvsN455dK3v5zZlqfkcjIybUxR99nCAxapDAzpRsA3EAOHPmDD788EPcfPPNmDJlCl5++WWMHDkSjzzySLCnJmucTk48+fxpSCoAwCH8GL/dTR64BEH4zt4ig1gMlhXDBzaTBDcDu4OD1d59pIZ2J789rlIqxKxcQTcI4ro7JytNsAiGBWnCYhEAmmz8d/OrnfK/Hv58oAzvbSrAqcrmnitJUSGoN9tRb7ajrlHeWfF1+XwjLX2oxuX2HhJaTMnOR/yjjz7C+vXrsX79elRVVeGiiy7ChAkTMH/+fFx44YXQaDSdH4TokOLaJphtTmjVSvHLmhkbhnKjBWdrm4I8O4IgugOsUDMhUge1ms8JDUrTI0SjhNnmREmdWZQAyB1mA1duNMMsBHHf7TmLe6f3C+a0iE44JQRpOrXSpQNjXAT//6V18r8eXnNhBgamRmFIul68LUSjwu+LJyA9JlQsMJYrrDCa/e4YTAZXVBP8z1B2gfhNN92EzMxMLFmyBPPmzaPAuwvYeJxfQWbEhIpWTddcmIEdp2uhVct6E4UgCInAtJnDMqLF2xQKBXrEheNoWT1OV5u6TSBeKyw66hptSIriM6s1puC7NRAdw2qiLhCKiBlT+yfhx32liAqVf/wxc3gaZg5v3W+ld2JEG6PlB6s/HZSmd7m9XrBI3Xkm+A5Gsouq3nzzTYwZMwaPPfYYEhMTccUVV+DFF1/Ezp07Za9lkgq/H+ED8SZbc7Ux+xIzyQpBEIQvMGlG9jnBdlYcbzHWnc41bFs8NToEk/vzzg0qZfdzqOhunBb0xT3iw1xuHyg0hqmsD36hH9ExFiGOuWxwisvtPYXzjs3BBT12lF0gfvvtt+OLL75AaWkpNm/ejMsvvxzbt2/HjBkzEBMTgxkzZuCFF14I9jRlDWs+0Tuh+QKZGcufiIxmO+oaKZNDEIRv7BesC1tqbwHAIGhSv9vdfZreRIXwgXhadJjYTKTBYhezcoQ0OSMsFrPiXBeLyXpe1lAv88/Q0GRDqaEJthYWf4w9hbV4afUx/LivJAgz8x9nBflQRozrYqrlLkd9kN3gZBeItyQnJwcLFizAl19+iT179uDOO+/Epk2bcP/99wd7arJGreIzNVcOa96uCtOqEa7ltWIbj5FzCkEQvrG/uA4AxGI4Rkw4r7+tNnWfbGOza4oC4Tq12CStrJu0EO+urDnK7w6fqy+O0KkRKmin5ezws3J/CXKfXosFn+xudd+ewjq8tuY4fjlYFoSZ+YcGsw31Zj7ITopy7bIeGapBtNDptrQuuL9D2QbiFRUV+PLLL7FgwQIMGDAAGRkZeOGFFzB8+HA8/PDDbh/nrbfewpAhQxAVFYWoqCjk5ubi559/Fu83m81YuHAh4uLiEBERgVmzZqG83NXjtrCwEDNmzEBYWBgSExPxr3/9C3a76wpr/fr1uOCCC6DT6dC7d2+sWLHCp9fflTC7n8w41xUkM/vfVdi9ut4RBBFYHA4n7A4+OB2RFety35QBSQCAJH1Iq8fJFes5GUcmVdnTwjKOkB7MHSUxsvV3kS2u5NwF1mSxQ6NSIPGcIBUAhqTrce3oTEwSpFRyhFkyKsAvns4lWajXKDUEt2BTdsWad9xxB9avX4/8/Hyo1WqMGjUKf/3rXzFp0iRcdNFFCAnx7OSdnp6OZ555Bn369AHHcfjwww9x5ZVXYs+ePRg4cCDuuecerFq1Cl9//TX0ej3uvPNOXHXVVdi8eTMAwOFwYMaMGUhOTsaWLVtQWlqKG2+8ERqNBsuWLQMAFBQUYMaMGbj99tvx6aefYs2aNbj11luRkpKC6dOn+/098gWbw4kSYSuHyVEYOSmR2H66FhrSNhIE4QM1jTZwAJQKYGi6axEVKxKr6CZdC4HmjNuZKhMu7BGLBmErfEdBDa4emRHMqRHtwHEclArAAWBkVkyr+xMidThb14RGGTe5u218L9w6rmerhSIAjOwRi5E9Ytt4lHw4KTTNUikVbXYNZeYTm09UYWK/4C04ZBeI79mzBzNnzsSkSZMwduxYhIWFdf6gDrjiiitc/n7qqafw1ltvYevWrUhPT8d7772Hzz77DJMnTwYAfPDBBxgwYAC2bt2KMWPG4LfffsPhw4fx+++/IykpCcOGDcMTTzyB+++/H48++ii0Wi2WL1+O7OxsvPjiiwCAAQMGYNOmTXj55ZclF4jvLaqFk+NXkAkRrqvkUdlx2H66FuZu5O9LEETgKTfygWl8hA5qlevGbIqQCa+ot8DucLa6X45wgmO6Rrjwp8eEorbRBpuzdQBESIO6Rhtswq5NVnzrOGNc73h8ubMIWrW87f2USgVClPJ+De0RG87vPA1MjWrz/kahHm6fUK8SLGR3hsvLy8OyZcswevTodoPwEydOeHVsh8OBL774AiaTCbm5udi1axdsNhumTp0qjunfvz8yMzORl5cnzmfw4MFISkoSx0yfPh1GoxGHDh0Sx7Q8BhvDjtEeFosFRqPR5V9Xk1/Kd3tTKhUuXaiA5q3iMkP3yVQRBBF4WCDOrPxaEh+h4zORTg4nu4lzSozgQd1HyPYz+U2ozD2auzMVgiNKTJgGujaC7WQ9kzV0X50/x3Ewmm1tFnPKgYp63lgiI7btWHGA0OVWF2RbZtkF4owZM2bAbG79A8jPz8fEiRM9OtaBAwcQEREBnU6H22+/Hd999x1ycnJQVlYGrVaL6Ohol/FJSUkoK+MLGMrKylyCcHY/u6+jMUajEU1N7WuTnn76aej1evFfRkbXb2GGCTqqtjxEE4UmBqerg9+JiiAI+bLmSNtFcICwjSz8/16hoFPuOAV7NLYVnnIeBHFyZ5/w3WtLWww0f4ZlQdYX+8KSb/bjsR8PiZ7+53LJyxsx5NHfcPBscDPG3lLRwYIfAMb3TQjkdNpFtoF4REQErrrqKpeiyCNHjmDixImYNWuWR8fq168f9u7di23btmHBggWYO3cuDh8+7O8pe8zSpUthMBjEf0VFRV3+nKzJRFuBOPMVP1nZPbJUBEEEB3YOac++Nz6Sl8WZLN1DBmcXCvtUSv6Sy+zvKBCXLjuFjoztWds1Wvnbt5ysDtic/Ind4cSXO4vwwebT7f4OWVFxhUz90nec7riQNkX4HQbbvUh2GnHGt99+i6lTp+K6667DF198gUOHDmHKlCm47rrr8NJLL3l0LK1Wi969ewMARowYgR07duDVV1/FNddcA6vVirq6OpeseHl5OZKTkwEAycnJ2L59u8vxmKtKyzHnOq2Ul5cjKioKoaGh7c5Lp9NBp2tdzdyVsC3j5DZWkDmCzorj+EyW3FvfEgQRHFiL8Auyotu8f2RWLFYdKA3gjLoWlvlnhX0s43+srD5IMyI6Q1g7IS267Wt0uuBLfa79plywOzk8NCMHFfUWxAqWoefy1nUXICJEjTCtPEPFk5X878vSxs4b0Hweam9HIFDINiMeGhqKVatWIT8/H1dffTWmTJmCG2+80eMgvC2cTicsFgtGjBgBjUaDNWvWiPfl5+ejsLAQubm5AIDc3FwcOHAAFRUV4pjVq1cjKioKOTk54piWx2Bj2DGkBGuyEaZtHWT3ig+HRvAYr6b2zARBeIlZ2F07t3U4g+lvWWJA7rCiP7MQtPVK5BvEcACqGrrHa+xusL4ZE/u1LV8YmtHs9mORoYFBiEaFW8ZlY8ll/dvt8poYFSLbIBwANEKhd047xZrMSKW20QZrEBdUsnqHzy1WVCqV+PLLL3HJJZdg1qxZeOihh8QxUVFtv/HnsnTpUlx22WXIzMxEfX09PvvsM6xfvx6//vor9Ho95s2bh8WLFyM2NhZRUVFYtGgRcnNzMWbMGADAtGnTkJOTgxtuuAHPPfccysrK8OCDD2LhwoViNvv222/H66+/jvvuuw+33HIL1q5di6+++gqrVq3y47vjH1hzAmNT625hKpUSiZEhOFvXhDJDU7uZAoIgiI7oqFgTaNbfFtfKV3/bEgX4oDsqlL/kpkSFQKdWwmJ3wtBoR3xrJSARZMoF+8y2PMQBICEiBGqlAnYnhxqTVZQ5ENKB7VaMyo5r8/4eLYo4z1Sb0CcpMiDzOhdZBeLR0dFtekFyHIfly5fjv//9LziOg0KhgMPh3gq1oqICN954I0pLS6HX6zFkyBD8+uuvuOSSSwAAL7/8MpRKJWbNmgWLxYLp06fjzTffFB+vUqmwcuVKLFiwALm5uQgPD8fcuXPx+OOPi2Oys7OxatUq3HPPPXj11VeRnp6Od999V3LWhUDzlmm/5La/kCl6FojLUzNGEETwKarhm4axreFzYZrUjccrAzanroLjmHlhs3uKUqlEUlQICmsaUdtIu4tSpKKeLRbblocqlQrEhmtRUW9BdYP8AvGqBgssdicSInRiEfG5HC0zYtX+UiRGheCGMVkBnqFvNFkdYlfNthoWAUCIVg19qAaGJpsoRQoGsgrE161b5/djvvfeex3eHxISgjfeeANvvPFGu2OysrLw008/dXiciRMnYs+ePV7NMVBwHCeuIMf2jm9zDLMxWnOkHDOGpARsbgRBdA8arXYYhQtke/Z9CUKA3paritxwtLjCq1tIAOIitCisaURVAwXiUoTJNJmMqi1YndShEgMGpenbHSdFPso7g9fWHMe1ozOx7C+D2xxTUGnCf9aewMisGNkF4mwhpVUrEdmO8w3AN2YyNNlQbbIAoIx4p0yYMCHYU+jWGJpsYiDe3pYxq/4/XtF9iozMVju0aiWUStmWTBCEbDhd1Sj+f3ZceJtj2FZyeAcXULlgb+HB3FKLy4LyA8UGXDooOeDzItrH6XSK1zomk2oLo5mXcO4rqsM1F2YGZG7+wmp3QqNSIL6dQk2Ad0+7YUxWmy5qUoe53jicXJtKCkZcuBYnAFQHcUEsq8hj//79cHrQiezQoUMu9oZEx5QJus3oME27jiisuIptscqdW1ZsR/+Hf8WgR39DUW1j5w8gCMIn2K5aij4E6na2xNNi+G1+Q5PNJZCVIw3W5mtQy4IwduHfW9SxxRoReJpa7MT07UA33Byktx/oSZUll/XHsScvw6Ipfdod0ycpEk/MHIS5F/UI3MT8xNk6vr5E004hKoMtuHYU1HT5nNpDVoH48OHDUV3tvmdnbm4uCgsLu3BG3Yt1R3nnF0cHYilmNxZMPZW/2HaqGmuP8hrURqsDT/wYfO94gujusF4F7VmmAfxCX6HgrVJrG1sXjsuJlsF3Sy0u6/anUsnqMnxeUGPiv3NatRLRYZp2x+X25CWckaHy3LlRKBSis0h3Iy2a/30NSY/ucFyDsKtxpKzrO5e3h6y+PRzH4aGHHmq3tf25WK2kvfOEs4JDQUfrx9hwvugh2L6b/uCjrWcA8DsAdY02/HG8CvVmGyJD2j/xEgThG+4E4iqlAmEaFUxWB/LLjUiIlEYHPG8IadEevaUmfnzfBGw4Vik2TSGkAyugjQvXdixrEGoZgilr6Go4jkODxY5QjQpqGQXt7DNM7kBaBPBZ//zyhqDaNMoqEB8/fjzy8/PdHp+bm9thwxzClRTBjnBYRnS7Y/Qh/FemwijvQNxsc+D3w3yTpY9vGY27vtiDgioT/jhehcsHUxEqQXQVG47xO291nWS6mff24RIjxvWWbyDuaLF72FIjHhfOgjh5n0u7I4dL+OyotpPAMz5Cvp/h0m8PQKNSYNHkPkiIbL9x4MXPrUNxbRNWLhonq4JUFoh3tOAHgNE947Byfyl07cjkAoGsAvH169cHewrdGpPQ9S07vu0CKqDZAL+m0Qqn0ynbAsfPtxfCYnciJkyDQWlRmNw/Ee9tKsDqw+UUiBNEF1Ik7Lw5Oqn3SYjU4WxdE5zt9d+WCUzqp1YqXLKr50M2Va7sL64DABjMHS8W2We3LYj6Ym/gOA5f7yyC3clhwcReHY6NEAqma2TWxG9PYR0AdNqohxWrBvP1ySoQJ7qW5i3j9lfHPROaq6dLjRbZNvVZtZ9vnx0ZooZCoUBWHC93+nFfCV6+ZlgQZ0YQ3ZskoUFKRztv7P6zdU0u0g450p5POLPF604OVN0HfsGU1E4zHwZbTFk6sDiUIg4nh6WXD0CtydppxviTW0cjXKtGaBvdtqXMiYoGAEC9pePFVFwEH++w3gXBgAJxQuRoGX9B6Gg3LjJEg0idGvUWOywy9vhlzg25PXmbtPF9+KIbu5PDmWoTstqxVSMIwjeYS8HATra5xYyxzDJx51InFP7Zz6lwTxW0q04OsNud7TrIEIGHFWjm9mq7IyNjeGY0AECtUojNBOWAWqXEvHHZbo2Nj2g/MSdlwoSFQ5/Ejr3BmwRXo8Ka4Lmm0S+fEGGZGUMb7e1bEtsNLpBs9fvXkRkAgB7xEaIV1akqU9DmRRDdnZaFcB0RJ+zMyb0eRavhg7Nz9cYtdxc7k0AQgcVdfTFz5rDYnWi0yjcx1R1hhaUje8R0OC6zRZt7Js8NNBSIEyIqYTWfHd+xeX9zkZE8A/FakxWlBt4zvX9y82r5giz+B5tfRlvFBNFVlAj+vp016yms4RfE6/IrunxOXUmU4MIUrnPd2g/VqkTHFLnpb7s77NoW00kgHqZVIUTDh1FychIzmm04W9eEJjcWD3sKa/HCr/n4bk9xAGbmP9xxZwKabUQBV//4QCLLQNxms+GWW25BQUFBsKfSLbmwkxUkW/lvPlEViOn4ne1CYU1mbJiLVWF/oXEDBeIE0XWwRXBnRVTsAtpolXdTNiZJUbVR2C4mNSgQlxRbC/h+JZVCk7v2UCgUoiXlyQr57KT+crAMY59ZiwWf7up07KESI15fdwI/HygLwMz8g93hRJ2buxpqlRJRghtcZ05OXYUsA3GNRoNvvvkm2NPoVtgcThjN/AWvsy8uu4Ceqmzo8nl1BV/vKgIA2M9xbUiJ5qUpfxyvDPicCOJ8oGVdCSuQbo9xfXjLwjiZalQZLV1TzkWt4m87VGII6JyIjmGZYnc83lli6nCpfD5Ds80BjUqBWDc6ZOekRmFubham5iQFYGb+oaimUWw6GNHJzhvQvPNhaArOgli2xZozZ87E999/j3vuuSfYU+kW1AoZGaUCiO7kxzkoTY9TVSZRKy43TlfzRRlZsa4FmYlChXxVg7ytGQlCqjAttELRuQQuTVgYBytL5S+OlPKe1G1JF1gHxwPFwevqR7QmTKuGockmyhU7IjZci1KDGXJy2bwxtwduGJMlevV3xAWZMbggs/P3QUqcaVF46U6jHk748PYXGTAiK7bL5tUesg3E+/Tpg8cffxybN2/GiBEjEB7uGlTdddddQZqZPNldWAsAUCoULk0n2mJIuh4/7CtBxz04pQvLcvx1ZLrL7S1PNiUGM9Jj3OvgShCEezDdZkyYttPzDEsIGM02OJ0clJ2MlyMp+hBUNVjazJYTwcHh5GAUFozuXAOGZUSj1FAGfZi8OqQqFApo1d3zexcuOKa4a69cL6gBjpYHR5Yq20D8vffeQ3R0NHbt2oVdu1x1TgqFggJxDykUssRKN+yXmJ1RjUk+xSktKRJWy30SXTNyESFqpEWH4mxdE8ooECcIv+NuARUAUbfJcUCp0SzbngUHzvKShcFt2DWOzo7FgbMG0aqRCD51jVYxux3jRnDNrA7lvnPTERzHwWR1uCXzkAJ1TXxgHe/m7yo9Ngy1jQbR8jDQyONdbQMq1PQvTCPVJ6nj7WKg+QJZUtdxIYsUabI6ROvClrZFjKy4MJyta8KZ6kaM7BH4LSqC6M5sEQq8m9wowNS2aORzusoky0Dc4eTw474SAMA9l/Rtdf/5EMTJjTNCUipUoxIt8DpCH8pfO+X0Gb76+3FUNVhwQ24W+iZ17LPdYLFj2GO/we7kcPSJSxGikX5jH2bBrHdDAw8AwzOicaDYELSFhuxFsFarFfn5+bDb5V1ZH2yYf2ZnBVQAYBBWm2eq5VMlztghOKZo1co2C3HY688P0hYVQXRnCmt460J3tKlA8xZzsGzFfGVPYS1qG23Qh2pwURvNYVigUBekIjGiNezcb3W41y2T2WyuPSofm81VB0rw8dYzqHSjm2S4VgX2a22vS6zU2F9cBwCwunneiA4N7oJYtoF4Y2Mj5s2bh7CwMAwcOBCFhYUAgEWLFuGZZ54J8uzkR52wguysUBMAUoUiKjkVpzB2FfKBuBJoswsaOzH9fKA0kNMiiPOCpChe1tY/Ocqt8azDrVw11G+tPwmAl8G1lV0tFTzVt52qCei8iPZhXZfZzm9nhAg7Nw0yasp0y9hs3DW5N3rEd95BWqFQYMuSyTjy+KVIjgoJwOx856hQIF3j5sKBLYirgyS3lW0gvnTpUuzbtw/r169HSEjzl2Pq1Kn48ssvgzgzecK8szk3ouv+KfxFlANvgyQn2Kvrldi2BIdd+OW0zUgQcoEtfvu6IYEDmqUbnXX7lSr7inl9eHuNYVizn0aZnUe7M+wzGZDi3mIxV9jpSJGRdGr2qEwsntbPbblXUlQIQrWqNpNXUoRJTNj1vDMKqngr5i0nq7tsTh0h20D8+++/x+uvv45x48a5fDkGDhyIkydPBnFm8uSQUFBUZuhc9x2pU4MlqIwyu0A2mPkLXlvbxABw2aBkAIBWI9ufBkFIFkMj23lzz2GCjZNr50mH0KtgxuDkNu8flhkNANCHyMtxoztjaPLsO8o6M8q98VR3IkqQmnTWnJDBGmtZbO7JkfyNbKONyspKJCYmtrrdZDLJZtUmJdRq/qvgjlOIUqkQ9dV1MgvEi2r5Qpy2CjUBoK/Q8r66wSrq5gmC8A/Fwu9Pq3bv0nOqktff/naovMvm1FWUGcyobbRBpVRg+sCUNsewjGS9RV7n0e6MWOjnRjMfQH67NjaHE2frmtDgwfXt10NleOHXfOw8LQ8Jlaef4ZiefGLOXZcVfyPbQHzkyJFYtWqV+DcLvt99913k5uYGa1qyhRUrjO0d79Z4pmDZV1TXRTPqGk5U8FtQ7W3JRYVoxG2tsk7aGxME4RnMyu9sbZNb40OFYs1gdbzzhX1CwVifxAjxdZwLC+LMNqfsZH7dlTVH+EUfa/zWGczyrsbEN4KTOqerTBj7zFqMe3at24/59WAZXl93ArvO1HbhzPxHnRiIuxdYJwra92AtpmRrX7hs2TJcdtllOHz4MOx2O1599VUcPnwYW7ZswYYNG4I9Pdnh6QqSVZS7e7KSCqer+Ayb3dm+Fj5Uq0KDxY7tBTXoleCelpUgiM5hv7okN4u+Lu4Tjz2Fdeid2LHFmhT59VAZAL5FeHtECDI/J8fvFsjxdXY3WH2QRuXeznqkjr9mOjmgot6KZL20CxpNVr69vbvXegC4uG88IkPUGJja2gtfihwUFvzlRvcW/CwRaTTbYXc43bKt9CeyzYiPGzcOe/fuhd1ux+DBg/Hbb78hMTEReXl5GDFiRLCnJzs81cUxmz93K8ulQL3ZJgYCAzpwbbDa+UXGASGjRRCEf4gUdpsucnPnje1cebKNLhU2Hec90xs7mLtCoRB3F9luHRFcMoVr25jstuuIziUmXCvWTAXLdcMThmVE49iTl+HXu8e7/Zi/DE/HY1cOwrg+7v1ugw1LtMWF69wa3zKOKalzL3j3J7INxAGgV69eeOedd7B9+3YcPnwYn3zyCQYPHuzRMZ5++mlceOGFiIyMRGJiImbOnIn8/HyXMWazGQsXLkRcXBwiIiIwa9YslJe7ahYLCwsxY8YMhIWFITExEf/6179aeZuvX78eF1xwAXQ6HXr37o0VK1Z49br9jdPpRFUDv/XrdNOTkDUB6KxNtZRgBV8hGiXSYtrPWvRKECzTArwqJojujrjgdzMb19wsRX7SFIuwoB+c3nEWMVxYnMjVK727wQr2Mt3oqcFIiOQDPrlY+ioUClk05vEGjuNEu9OBae4532haNA8rqAp8fxTZRho33ngjPvjgA5w6dcqn42zYsAELFy7E1q1bsXr1athsNkybNg0mU/OHcc899+DHH3/E119/jQ0bNqCkpARXXXWVeL/D4cCMGTNgtVqxZcsWfPjhh1ixYgUefvhhcUxBQQFmzJiBSZMmYe/evbj77rtx66234tdff/Vp/v6ABeFAs89vZwTbAN8byo18tiIpKgRKZftf/dx2HFUIgvAem8MJk5UPNj3ZFgeaux3KBYeTEwPrPw9N63Ass3IM1chnd7E707xYdL9wL1qG3TU9heM4WdQxmG1OsWFYQqT7MqEIHR+MdyRb7Spk+8vXarV4+umnMW/ePKSlpWHChAmYOHEiJkyYgD59+rh9nF9++cXl7xUrViAxMRG7du3C+PHjYTAY8N577+Gzzz7D5MmTAQAffPABBgwYgK1bt2LMmDH47bffcPjwYfz+++9ISkrCsGHD8MQTT+D+++/Ho48+Cq1Wi+XLlyM7OxsvvvgiAGDAgAHYtGkTXn75ZUyfPt1/b4wXsB+XWqlArJstYcOELE5xnXwukKz4sjN9Kmta4I6VI0EQ7lFU03yuiHRT0sYJYjK52ReW1DXBandCq1IitROvZtZETY4Fqd2RUgMvTVC7qREHAH0YcxGT/mf4y8FSbD5RjfF9E3BJTpJbj9l0vApzP9iOASmRWLno4i6eoW+whZRKqRA787pDekwYjpbVu+3o5E9kmxF/9913cezYMRQVFeG5555DREQEXnzxRfTv3x/p6eleH9dg4EX+sbGxAIBdu3bBZrNh6tSp4pj+/fsjMzMTeXl5AIC8vDwMHjwYSUnNX+rp06fDaDTi0KFD4piWx2Bj2DHawmKxwGg0uvzrCuoFDWNMuLbDTHFLTlXyesbtMuoIt05oQWzvpHUxC9SL3XR2IAiicwpbBOLuyr56tLAZdafZmFRg29tZcWGdyvfY7mJtN86mygmjWZCUevB1Y7riDfmVXTAj/7L1VA0+3noGewrdd0AJ1SrhcHIwNkm/VoPFJiFqpUdW1qyRUzBeo2wDcUZMTAzi4uIQExOD6OhoqNVqJCQkeHUsp9OJu+++G2PHjsWgQYMAAGVlZdBqtYiOjnYZm5SUhLKyMnFMyyCc3c/u62iM0WhEU1PbAd/TTz8NvV4v/svIyPDqdXWGp7pNoNkA3xaEbRxvOV7Odw+1dRKIM//wo2Vds/AhiPMRpXBRjG2ny2RbZAuuRRzkVbD59a4i/n/ciAPOCAuUtUcqunBGhDu0bMqTHut+p0z2McuhWHNS/0TcNbk3LurlfuHloDQ9ti6dgp//Ie1sOADkC9d5ZrrgLmyXLhj1KLINxP/973/joosuQlxcHJYsWQKz2YwlS5agrKwMe/bs8eqYCxcuxMGDB/HFF1/4ebbesXTpUhgMBvFfUVFRlzzP8XJ+BelJ4eWUAfyiItlNGzIpwLYPh2V03G2rn9DUx8kBFhlo4ghCDjiERXtqtPvnjBCNClohey5mKmUAO6eGubE1zhQQcpA1dHfYYk+hAFL17gfiI7L4a0p2vPTtbif0TcDiaf08ckDRqVVI1oeIhcVShoUxniz4AeCkkElfezTwC2Lpv6vt8MwzzyAhIQGPPPIIrrrqKvTt29en4915551YuXIlNm7c6CJtSU5OhtVqRV1dnUtWvLy8HMnJyeKY7du3uxyPuaq0HHOu00p5eTmioqIQGtr2D16n00Gnc6940hf2Ck15qhrcX80zXaOcLh42Ox8IjMqO7XBcn8RIqBQKODgONY1WpHhwQiYIom087VXAiApVo6rBCmOTtd1GXFKDvcZJ/Vp3fz6XUdmx2H66Fj1lEMR1dwyCPCgqRAOlB4kp1ua+M9kj0fWEafmwtn+Ke44pDJ3gnGI0B14iJtuM+J49e/DAAw9g+/btGDt2LNLS0nDttdfi7bffxrFjx9w+DsdxuPPOO/Hdd99h7dq1yM7Odrl/xIgR0Gg0WLNmjXhbfn4+CgsLxQ6eubm5OHDgACoqmldSq1evRlRUFHJycsQxLY/BxkihCyiTUTELJnfQy9A1hRVrdtZwQaNWIlFwj6GCTXnQcku5u8FxHPYU1uJAsSHYU/GJM9W8btpT27R6IRO+TUb1KJVCUqOzRT/QHMRZKYgLOt4uFpmsQQ67NpX1FjRY7B7XXLz7xym88Gu+uFiRKuwziPLwMxwn9Dbo30GPka5CthnxoUOHYujQobjrrrsAAPv27cPLL7+MhQsXwul0wuFwT1KwcOFCfPbZZ/jf//6HyMhIUdOt1+sRGhoKvV6PefPmYfHixYiNjUVUVBQWLVqE3NxcjBkzBgAwbdo05OTk4IYbbsBzzz2HsrIyPPjgg1i4cKGY0b799tvx+uuv47777sMtt9yCtWvX4quvvsKqVau64N3xjETB4ie3pydbVXz0Xm+28+4AQag09gSn0ykG1UluLDgSI3UoNZhdrB3lyK4ztVj46S5kxYXjvkv7YURW54GBnDBZ7PjHF3vw+5EKRIao8f3Csd2qGyrHcVj67QF8sYOXpc0b2wMPXTEwyLPyjq1CIH26yjOnJaYtr5aJcwrHcWLxnjsZ/EihSKw+CJk4wpUtJ6sBeN7q3C7Y5RVUSb8p05/+8wfKjRasXDQOg9Lc75T5n7UnYGiy4cphqaLMU4rUN7FdDc/CW5Z8MwWhFkW2gTjHcdizZw/Wr1+P9evXY9OmTTAajRgyZAgmTJjg9nHeeustAMDEiRNdbv/ggw9w0003AQBefvllKJVKzJo1CxaLBdOnT8ebb74pjlWpVFi5ciUWLFiA3NxchIeHY+7cuXj88cfFMdnZ2Vi1ahXuuecevPrqq0hPT8e7774bdOtCoNk2y5MsQHQLm8Nyo1nM6kiVswazmHFyZ6XMvES3nqp22+JJatSbbZj9dh5sDg5lRgtueG87fvnHeI8aVUidZT8dwe9CkVu92Y6Fn+7GLx50jJM67/xxSgzCAeC9zaeREBmC2yf2CuKsvIMVSbvbvZcxMDUKO8/USv4cwyiubYJZaArjTrtzJoAgl6bgU1nP72R4mi1mi8STlYFvBuMp7LvproUo468j0mF3OCWvE199hJcAs6JNd2EL4mDsakj7He2A2NhYNDQ0YOjQoZgwYQLmz5+Piy++uJW7SWe484MLCQnBG2+8gTfeeKPdMVlZWfjpp586PM7EiRO9LiTtSpq3ctz/OkSGaKBWKmB3ysPkv6WHcbQbXulM6pAvY+eUL3cUwebgoFTwHqmFNY14aXU+Xpk9PNhT8wvFtY34fHshAODaUZn4YkchjpbV41CJAQNT3c/0SJlXfj8OALhiSApOVppwuNSItzackGUg3jMhHDvP1GJy/8510y1hkjk5nGcAfhcK4IvGdOrOZTgsA1dhJBlcsMkUFnuenj/ShZ0PjQy6Me99+BKYbU7oPNzFfuhPOV00I//Crt2hHkrgLHb+/MKKNgOJ9L817fDJJ5+guroaO3fuxIsvvogrrrjC4yCc4Nlxmt8y9jQjwwJaOWgb2Qkyy82sWr8kXicWoZPuFlxHcByHz7bxQepjfx6IN669AADw4/5SnPAwUyBVXvgtH04OuKhXHJZdNRiXD04BAPF1y52dp2vQKHSiXDipN56YyVuqGprsOFsnv+wp03p7momLEqUb0tffAs1ZVTbvzkgTzkmeeB4TXYNddPbxrCh4WGY0AM+Dv2CgUCgQqlV5VIwqJ3on8q5nntgzAs0L4pIgnFtlG4jPmDEDUVF8sFRcXIzi4uIgz0i+NAgXOK2Hq3mmwZLDBbJaKJ6Kd7Mg9UKhyMqT7mpS4khpPU5VmRCiUeIvF6RjcLoekSFqOJwcXl17PNjT8ws/H+DrOZjO8W8jeZ/9Xw+VdQv3gt1Cw42xvePQPyUKI7JiMFr4Xv58oDSYU/MKbwNxlgk/VCKPYlV2zriod5xb4/sk8jUNdicnWjwSwYHp9D1eLIaeHzp/jpP+d5SdL5KiPHOc6xEXDgAe7xT4A9kG4k6nE48//jj0ej2ysrKQlZWF6OhoPPHEE3A65X8RDiSsOc/QDM+245hHbrkMtlQrhaLLODe9ReMj+HGeWDpKiU+2ngEAjM6OQ4Sg6WNet/tl7r4BAEW1JliEhg3XXMgH4Bf1ikOIWomqBiu+2in/hfkfx6sAAFP6t+jYO5C3Q91wTPod/M7lSCkv86ozeRasVAgZ5vwy6RfCAc0ZNXd9qFsGfXJqWtQdYbIEu4cxBPsM6y12OCUcqJ6ta8LD/zuIN9ef8PixD//vIPo88DPe+eNUF8zMfzQv+D3bzfbU7tCfyDYQf+CBB/D666/jmWeewZ49e7Bnzx4sW7YM//nPf/DQQw8Fe3qyggU06TGeFUMVCxecraeq/T4nf7PpOB+4mNy0uYuPkLd94aoDJQCAUE3zT/yeqX0AAFX1FtlnjLef4rPFA1OjRJcUjUopFgKu3F8StLn5g0aLHdsKeMnY+L7NW6zjhCxr3slqGILQAc4XRH9eDzeZsoTi4nA3muNIgZI6/pyRFuNeIK5Tq8QsnNFDtw7Cvxwu4ReLpXWenfdDhVoAjpN2YupsbRM+yjuDr71IVCgVfE2Y1LP+ZwWJrcPDxRTb4ffG2tFXZBuIf/jhh3j33XexYMECDBkyBEOGDMEdd9yBd955BytWrAj29GQFW0G6q2lkhAgnn0aL9IuoCqr4anZ3296yzNSZas+s1qSAyWITP9PZozLF2welRSMqRA2T1YHDpfItQgWAjcLCamK/BJfbLx+cCsDz9sZS44Mtp2G1OxGhU7nYMfZOjIBCwcsYVspMnsL0s0yK4S4je/BynGgPO+UFC/bdbPKguNQpXPgPnJX/bpWcYTa87rjdtCSixa5GiYSTN8lRIVg0uTfmjMrw+LGLJvfG1qVTsGhyny6Ymf+oNvE7aBaPW9zz8Y+TC/zOlGwD8ZqaGvTv37/V7f3790dNjXwaPwQbs80hXjBCtZ59HSYIQVBvDy+swYC1ux2S7p78pmc8rxfjADTJrFnM7sI6ODm+lfj4Fm2MVUoFLhSCmm0y2MXoiO1Ctnhsb9eCnL+O4Lvi5pfVS3qLuDOY9CQ2XOtSxKdUKpEo1DmwNupygRV1ZwlaTHcRt/0lnoljsKKvlCjPu4BKOZt6PhAn7ISO6emevp+hUCjEjKpGwnVFmXFh+Oe0frhtvOeuS3EROiTrQzxuyBVoWN+BDA93+ENa7B6fqAjsuVW2gfjQoUPx+uuvt7r99ddfx9ChQ4MwI3lSZmiuEPbUHzRK7CYm/Qsk26Uanhnj1vjs+HCwonI5dEtrCcuqXZAZA6XS9SfOMj3vbioI+Lz8xfHyepQKWadzbcb6JEVAp1ai3mJHQbX0PX3bI0TIzF06MKXVfdeOygIA1MlImmJzOL32L2Y7dXKQbdgdTrBd7RE9ot1+HCsUY5I4Ijh4W1AMNAfxnmZiCf9hdzhF55vseM8W/AqFQlTNVRgDWxsmWx/x5557DjNmzMDvv/8utonPy8tDUVFRp37eRDN1wsVNqQDCtN3XVqxK2K6KC3fvQqdWKREbrkNVgwVVDRYkRXm2VRlMDgrFmG11TWO3sQI4OfLrId4tRaNStGpCpVEp0ScxAgdLjFi5rwT/mNo3GFP0GdaMYtrA1s2khghF1XIquq1u0aE2wsMFf53QcIzJy6RMVYMVHPjdp/Ro9zNyyfoQHK9oEJseEcGhwcJcUzy3rRXb3Et4wch2a8K0Ko/tMotqGvHLwTJEhqhdJI9SoqWkJMKLxVRqdCjO1jV53HTMV2SbEZ8wYQKOHTuGq666CnV1dairq8NVV12F/Px8XHzxxcGenmxQCxlTbzIxtUJGbl9xnT+n1CWwFW6sBz+wZucU+WQeAeC3w3xnsdjw1q/10oHJUIAvKpJrAxGmp2Xa4XNxCPezgF1uVNSbUW60QKEABrRRyT80PRoAcKrKhFqZtH0/1aJJhtpDm9RYoV+BHJRGFfX8byohQueRT7McgrjzgZJa/vPzpc35iSA0hHGXN9adwMBHfsVjPx72+LFnqhvx1E9H8MHm0/6fmJ9gScEQjdKr5kpMwuquqYO/kGVG/PTp01i9ejWsVitmz56NQYMGBXtKssWXrbgmodlIqYSLUwDeJ52tlLUeeISygG/bqWpM6JvQyWhpUFTTKG7Njclu3dAgJlyL7PhwnKoyIb+8HokyyvQzjpbx2eJJ/dr+TEb1iMWR0npZ7NS0xS8H+QVEWnRom3Kx2HAtwrQqNFod+L9dRZjvhd4z0BiEAFPlRdOangnNW8w2h1PS3QuZLCxC55mOli0yAq1NJZpxOp3iIj461POMKNP3H5DwThVbYER5cb1PiwnFX4anIcNNN6BgsF9ICtoc3q3aI4PUG0V2gfi6devwpz/9CU1NvLZZrVbj/fffx/XXXx/kmcmT5gYGnp94mO+mNyetQFJU07yl7UkBh0lwgzkmo06UhcJrTYjQITOu7dfaPyUSp6pMOFpaj4v7yGOB0ZKDZ3nHl0HttKG+ITcLH+adQY3JCo7jZNex8Dc3MvnhOjUarQ7sOlOL+QGYk6+wLrw94j0roAKAmLBmt5R6s13MWkkRVkRc52Fm+2wt784kJ7lRd4PVMABAupsdmFuSEKFDudEClYQ7Vj7654FYctkArx6bHR+Ol68Z5t8J+RkmufT2I2D6/oMlBlw5LM1f0+oU6aYW2uGhhx7CJZdcgrNnz6K6uhrz58/HfffdF+xpyZYtJ3n3jEovNMP9kvlWslJvlcsWx/ERWqg9yIgzNxhvFinB4kgpv2hgzXvagi1Gfj9SHpA5+ZMKoxmFNXzQMiAlss0xWXHhUCsVMFkdkt+taQuTsNM0pA2NP4PtBkSHSTcobYkvC361Sil6iEtdumEXTjbuNvNhJAvjNWppn0u7M2zXVKEAYrzQCI8WnFY8tT4MJKy9fahMPPk9JUV473smeOfkxjpw55cGNvkmu0D84MGDWLZsGVJSUhATE4Pnn38eFRUVqK6Wtx1bsGDbaU4vDOyb3QykLQGoa+Qv3p5m0oZnRgOA5O2aWsI6w/VNav9ExOyd9hXVBWJKfuUPwaNZoQBi2im81aiU6CFUzMtpN4NhETJzV12Q3u4YZq8mhwJGwDcJHABRjnJa4q83KpR/fZMHJHr0uLG9hCDOC8tDwj8wd6wIndqrXTQ5mRf4AsdxAW944y5sV4PVd3kKa2roqXGFr8guEDcajYiPb9a+hoWFITQ0FAYDbel5Q4awBTe4g+xbezAdpNTtC1lRqafZQxa4y6UgDmje4UiIbD8rw5rgWB1O2bk0sK3HhE6Ki9nC8rNthV0+J3/idHI4VcUvplpqo8+F7daclHBhWEt2nOYlG97+lhqFXYJ8iS+sWFG4py5LbKdA6ufS7kyxIA/SebBr2hI5FNy+uf4Env/1KIpqvGtUl/v0GvR+4GcU1zZ1PjgI1Au7GpE673axR/bgd5JjvQzkvUV2GnEA+PXXX6HXNweOTqcTa9aswcGDB8Xb/vznPwdjarIlqx09cUewrIHV7kSD2YYIiUo4tgrNazythGeBO3NCkANMttGRRdyFPWIRolHCbHOiuLbJY7/VYMICsikDWtv6tSQ2TItTMOGUxDOo51Jc2wizzQmNSiEuktuCddusarDiTLXJ4yY5gYZd+Nnn5ynRYRpU1FsgdeFGuXCuYE2X3CUqlAXi3TubKmVYt2FvM9pn6/jglC06pcjn2wtRVNOEKQOSOjy/tIfNwcHh5CSb9T8qfIYWu3fnmcgg7WrIMhCfO3duq9v+/ve/i/+vUCjgcEi/7boU8EW72TLrU260SDYQZ9v3TR4GAaXCiZUVB0qd6gaL2ExkbO/2O8MplQr0iAvH0bJ6nK4yySoQZxngXh1kiwHgskHJ2HmmtpXPuNRZuZ9vW69RdWy/Fa5TQ6VQwMFx2HisEjfkSvszZO48rK7EU3JSo1CRXyn5NvesRsPuoddijaBNPVYmj3NNd4R14vVWPqUVfq8NEg1SAWDOqExUGC0e1zAwvr49FyEaZac7ksGCLaa87VAbrF0N2QXiTqe8ttKlzplq77aoAN4KMFyngsnikHTBZpxw8W7Lk7kjWOGHXSbfudPCZ5miD+nUlpAF4icrGzCpv2d61mDC2rr3Suy4GGe0zDTUjGb7u85PzSn6EBTXNaGqQfrNmVidRf9kz36DjEgZdNe02p1wCMFcuocWb2HC522mroxBI0HYxfBGpgkAQ4VGW3ESDVIB4I6JvX16vNSTNuGCtjvdw/b2DLZzt/NMYHc1ZKcRJ/zLEWEFybbVPEUvbuVI9wLJGogMSffsBDssIxoA3yVPqsUpLWnOFndeMc4aFny9s6hL5+RPrHYnjgs+y511PmP66hqTVVYaf7ZonOJGsd/UHF6e02STfvDWvPPmXe4nKkj+vp7AstoKBdAn0bPMf78kfrxGSZfkYNFcUOzdLhoL/ryVRRC+w4o0R2W33eytM9h5xmYP7PWefvXnOWohk53iZWOXSBk4p7BizRgPizVZwaPNwbm0zpUq+UKjm46K/BjJwuddLqNW97vP1Ir/PzCl40VVmFYtylKYt7McKKjmM/jDM9u3n2Swuo5CH3a1AgUrYgzReHfJOVXJvy9rjkrXcrNGcGeKC9d61DgMaJb5WR1OCuSChK/OPlJ3EXM4OZgsdp+SSptPVOHtjSexu7C288FBoL6F8403DBOc0gItaaRA/DxHLwSno3p6t4JssvEXDSm3uS8TvKQ9PcGGalVi4MAsEKXMyv0lAJq7GHbE9IF8NjU8wDZNvmAV6j4yY8PcCnSYTCDvlHysTVmxrTtbwJlCsdXpaunLbw6V8JIbb6VwzF9b0hlxYeclrh1bzY6IaHFukvJr7M5sEqxRC710FAnV8uekJpsDTQFuke4OBVUmDHzkV1zwxGqvj/HjvhIs++koNh+v8uPM/IfomuLlrkZCBL8gDnSLewrEz3PYlnGUl19c5kRSUCVdGzXWNrrSCy0tK5g7dFb69pgsAM90oxp+iCC7KTU0ySYDVyRYZvXuRB/OYBljq0x0t2arHcU1/Gt0x/6OLUaOltVLvnbG2aKpljeMyeY1/1LWqLLFhjdNeVRKhbjoL/FSJkj4RrWPErbIFlnYEgk2EmO7ur54ZF+QFYOZw1LRJ8m7ouuu5oDQmbbE4N1viCXrGq0OMZETCGQZiDscDmzcuBF1dXXBnors8XU7jjVOiQ6VrpsB85ROi/a8UtwmBHHHKqS70GCwqv2pnVj7AbwPd7hWBScHrz1lA02REKS6s9AAgEsEDbU3zaqCwb5iA9hMU90IxFsWlflSdB0I2FYvK6L1lDSh+NEiYT38LkE6VdPgXUDHFozHJe6V3l1h55UL3JCFtUWIVi22VpdiUfHQdD0OPz4dP9w51utjXD0yA6/MHo5LByX7cWb+wyr0xfBWmhKua27eF0jbYlkG4iqVCtOmTUNtrTR1SnLBbLWLvr7eep6wNuNhXn7xuxq7wylm4zwt1gSAFCF413ZgJScFDI020YO4TwddNRkKhUKs7t98Qh7SjS0n+O1Qd9szswurt1vNgYad+CND1FC7Ib2JDtOKxZ1S959u8HHLWOxaaJFegMNgzRhTvFjwA82ZSrOEFxvdGXad6BHvneMGAMQL51RPawQCgUKhQJhWLWlXF18JF64Ng9K8c2cK0TTHMWcD2LRIet8WNxk0aBBOnTrll2Nt3LgRV1xxBVJTU6FQKPD999+73M9xHB5++GGkpKQgNDQUU6dOxfHjx13G1NTU4LrrrkNUVBSio6Mxb948NDS4ZlH379+Piy++GCEhIcjIyMBzzz3nl/l7S8tCvXgPG1AwoiTumtJSL+1psSbA+xcD0jyxtqRI6AoXH6Fze+vRLOj7txfIIxBnjilwM8EtJw010NzsxpOMHCvMlfJiw+HkWgTivi3YS+qkt+XPYOeXCX0TvHo881iPlbhXeneFXcMivOzKCDRr/UnnH3g4joNJOIcyrbc3sM6q5gBKNqUdXXTAk08+iXvvvRcrV65EaWkpjEajyz9PMJlMGDp0KN54440273/uuefw2muvYfny5di2bRvCw8Mxffp0mM3NF4XrrrsOhw4dwurVq7Fy5Ups3LgRt912m3i/0WjEtGnTkJWVhV27duH555/Ho48+irffftu7N8APsPbmGpXCa90Y28qplKj7Rm1js22a2ousdqxwcWXOK1Jl/bEKAM32S+7AmuIEUArnF0b0cC9QZRaHJXVmSTfZYDDpTUas+xnVzFjpB+Itm2uEubmbcS5MtiFlK8oqQZIS56UOni1S6mXg0NQdKRecfXzZ/GQ7PlI832w5WYUXfs3HmiPeOw9tPFaJ4Y//hmv+m+fHmfkHs63Zx9+XBT/rH6JTe3eu8gZp6gnc4PLLLwfAt7JnrdYBflXkaWfNyy67DJdddlmb93Ech1deeQUPPvggrrzySgDARx99hKSkJHz//feYPXs2jhw5gl9++QU7duzAyJEjAQD/+c9/cPnll+OFF15AamoqPv30U1itVrz//vvQarUYOHAg9u7di5deesklYA8kFuHiFu1FppiRX8ZnKaVqEXdAcHNRKrwT37BgzttOXYFi12lepmXxoDDxkpxk5J2q8fq9CSQNFrvo0DPGTZ1xzxaFfXuLajGuj3eZykBxSih4zvCgGUWY4NSwPr8CCyf51qyjq2hZfOjtgj+VyT0Uzed4qVFj4gM5b1xTgGZdK2VTgwOThvliVVspXCe2nKwSff6lwrZTNXh93QlcNzoTU9yoI2oLtVKB2kab6BAkJcqE916h8H7BDzTvagRyMSXbQHzdunUBeZ6CggKUlZVh6tSp4m16vR6jR49GXl4eZs+ejby8PERHR4tBOABMnToVSqUS27Ztw1/+8hfk5eVh/Pjx0Gqbg97p06fj2WefRW1tLWJiWmf5LBYLLJbmTLOnmf7O8LVQEwBihG1UTwLAQHJS8B/21jmDFU79IVG7JgYLpnNS3a9mZ93/imulm01lsILSmDCN24U4SqUSWbFhOFPT6K6aJahsyOft0wweyLxsDv6VsY6jUoS99+E+XByzBN0ux/HnGtapU0ocLOHPzw1e6tiLBU3qH8crMW9ctt/mRXhGipft3wHAIRSGV0hwh3hYRjTm5mZhZA/vrIoBYGhGNH67Z3zAfbbd4bTQRZnj4NNCPVKQJhkDKLeVbSA+YcKEgDxPWVkZACApyXUFmZSUJN5XVlaGxETXTnhqtRqxsbEuY7Kzs1sdg93XViD+9NNP47HHHvPPC2kDtp3tSze38b3j8eGW0x5tpwcSJp1hVnaewopvmH5XqtiELTl3HFMYrBNcUQCLUrzlpKAPd9cxhdEjPhxnahpRKmFtMYNl/PskuL+YGpKuxxc7iqBWSS9DzGCmNQle1qEAQESLTHq92S7JQJwt9hO8LIZjjVaqvbBZJXzD1qKov7cbnYnbY3CaHuXGCo/PU4FgUv9ETOrfecfejgjXqdFXotaFzDEl1MdzA4uL1h6twJXD0nyelzvIViMOAH/88Qeuv/56XHTRRTh79iwA4OOPP8amTZuCPDP/sHTpUhgMBvFfUZF/25HvFbpjlftg06MPY8Wa0txOVQl+Uv2TvTt5TOjHyxlSo70v/ggEZ4Wsdlq0+xeAGOGzqzFZJX/xX3mgFIDnXr/sc/PWVzZQWOwOMRDI7eW+xd9FveIBACaLw6eOeV1Jc3t777NoSqWihXRDeoXhrPAZAAakeOfYMFzo6pcZJ12v9O5KSxlChA87xBlCAC7NX2L3hslRvE26MViNgDuN8fyFbAPxb775BtOnT0doaCh2794tSjgMBgOWLVvmt+dJTub9MsvLXQscysvLxfuSk5NRUVHhcr/dbkdNTY3LmLaO0fI5zkWn0yEqKsrlnz8RdrV92maScnEK0Fys6a0OnjVWqTVJ7+LPcDqdoptEigcLhpY2a3uL6vw9Lb/CMtp6D4M5tbDbs+WktJ1hWAt4nVqJpCj3M6rJQmFRk80h2e6v7LW5azvZHizjvE+C31WmmdWoFF5n/nuwAJyiuIDDEkmhGpXYxM0bpHw9tNh9X6xzHIcvthfinY2n0CSxXWJ/SG0B4EJButPHzcZx/kC2gfiTTz6J5cuX45133oFG03xxHjt2LHbv3u2358nOzkZycjLWrFkj3mY0GrFt2zbk5uYCAHJzc1FXV4ddu3aJY9auXQun04nRo0eLYzZu3AibrfliuXr1avTr169NWUogyBA0wqxrnTcohKuGVF1FWKGYtz/OmBauKVLNOJYYzKKsgWW53YU5pyilq2wAAGTF8d/VaQM9KzJi25XHJN4khX1PU/QhHukbQzQqsVvlmRpp2jRuOcXXVzANp69I0aGpWnBMiQ3Xeq1PjRC90qUXxHV3WFdUX5t/sWvEGQm6GF39363o/cDPWHe0ovPB7aBQKPDwD4fw1E9HUG2S1u+wwexbrwIGqxEIZEdm2Qbi+fn5GD9+fKvb9Xq9xx03GxoasHfvXuzduxcAX6C5d+9eFBYWQqFQ4O6778aTTz6JH374AQcOHMCNN96I1NRUzJw5EwAwYMAAXHrppZg/fz62b9+OzZs3484778Ts2bORmpoKALj22muh1Woxb948HDp0CF9++SVeffVVLF682Je3wSf8sYIMFx7r5KS5Zbz1FJ8JPVXpXTEbe28sdqdkFxtHSvkiMQWAWA8dG3oKeshiiWuoS4WW0b08zFIMEbpPqiW+0sg7yQer3vjVs8zU74e9v8B2JY0Wfn6+OBkAzZ7piW50HQ00R8v436Av2nX2FS2RQc1Gd4NJ13wNxFkTmMNCYC8l6s02OJyczztTlw9KxsxhqT7tHHQF6/J5hcEZH/tGRATBRlS2xZrJyck4ceIEevTo4XL7pk2b0LNnT4+OtXPnTkyaNEn8mwXHc+fOxYoVK3DffffBZDLhtttuQ11dHcaNG4dffvkFISHNF4RPP/0Ud955J6ZMmQKlUolZs2bhtddeE+/X6/X47bffsHDhQowYMQLx8fF4+OGHg2ZdCDR34/NlBdnSON/YZPN5NepvbHb+xBof6d3Fu6Uvd0FVo8eBbiBgJ0RPg1QASBWkDWUS11CzQJx5vLrLRb1dNdRStL0DgL1F/IXb7MV2b7hODZPVIdnGRX2TI7HmaAUm9fOtUCwpKgRHy+rF/gdSYrfQ3t4XXSmr0yiU6M5Gd4Z1qPW1yJJJxdQ+GCB0FSsXjUO92e6z48krs4f7aUb+hclQfbXjZZlwZhAQCGQbiM+fPx//+Mc/8P7770OhUKCkpAR5eXm499578dBDD3l0rIkTJ3YoO1AoFHj88cfx+OOPtzsmNjYWn332WYfPM2TIEPzxxx8eza0rYR0VfSlk06qViNCp0WCxi1ZqUiIxSoeaRism9/POQ1qpVCJMq0Kj1YEmqzS3jFmQyqRGnqASLhjbTknTBx4A7HanKN3wtOtgSgsNtaHJ5pNnflfCMuF9vSgqntQ/AV/uKBZdcKRGc7Gmb5ebSAl3LWS2dUk+OMOwLXE5+Pp3N1ihdGq0b+5fo7Jj8eb6k5LsjhqmVXvt4y8HeiVEYOupGlzoZsO39mAL4gI/SencQbafypIlS+B0OjFlyhQ0NjZi/Pjx0Ol0uPfee7Fo0aJgT08WsAIjX7XPLBCX4gWSyUl8yWSnx4TiWHmDZLOpYrbYi4uIVWjje7xCuhrqY5X14oUy2UNZQohGhbhwLapNVpypNkk2EGd40x69lyAvKpXorka9n7SbLBN+PICZKndh/RTG9va+adQgQUalkriMqjvCvqPu9ihoD7FYk3T+AYedH9J8TEgw5xtdAC1Spbd/4iYKhQIPPPAAampqcPDgQWzduhWVlZV44okngj012ZAoyDWGpkf7dBymqZJa8QbHcS1cU7wPAqJDpd3mfvMJXl/szeV7sKihlu6poLqef9/DtCqEepHRYdZyvx+RpoYaaO4K500zEfaYlh0spcTBs7zsxtffD1twHjxb5+uU/E61j+3tgebzqMnqEFt1E4GB6Yp9XQKxXRupBeImix0v/JqP/2446XPi7cHvD+CCJ1bj8+2Ffpqdf2Dvua87b0MzogH41oDMU6R79e2EW265BfX19dBqtcjJycGoUaMQEREBk8mEW265JdjTkwVsOzU73jffWhYASE3eUNtoFfVevnjDsiBeit3SAOCkUIhq9+LiPUbwrG60SteH2iTopr1tJBEmZLn85drRFbAir2QPNfBA8wXjSKk0dzWYfaGv3XeZzEinll4zH7a7GO9DIN4ygJBaINfd2SX01PDV7YQtoGpNVjid0qllqG6w4vV1J/DK78d93tk125yoMVkll5g6XcV/dnYfJbLBkMDJNhD/8MMP0dTUOgPU1NSEjz76KAgzkh/+aLQBNOtbDU3S+mEWVDWfVPU+BOJsK9wX26euRCsUaw5N13v8WOaT3mRzwNgkzYs/KyT1tFCTMVGQe6R7oaEPBA1mu9ioyJuucCwL22CxB9Ryy10iQ/nfXt8k33x5x/TkF41JXn4PupIdBXwSosbDhlMt0alVYDGSlBeN3RGV8Mb7spACgGihEJKDtGoZQjRKzM3NwtUj030+1j+m9MGvd4/HdaOy/DAz/8GK1T1t+nYuYuMwck1pH6PRCI7jwHEc6uvrXZxLHA4Hfvrpp1bt5om2MQiyjRCNb+ux0dmx+PVQueRa39qEoCRcp4LSB+kFWyEHstOWu3AcJ2bPWKDiCSEaFWLDtagxWVFY04jBYZ4H813N6Wp+QeWNbAMAeicyDbU0LRqPCNZ3AJAd77m+cUCKHgrwF/9SQxOyJNaZUSFs+Pfx8fzAEgZSCnAYjcKujc81CEIyr8TQJG6RE11PekwYdhfW4eI+3mv8ASAhQif+FhttDkjlbJoYFYLHrhzkl2Nl+Ogs01Xw7mEO0QnMW9iizGp3ot4cGCc42QXi0dHRUCgUUCgU6Nu3b6v7FQoFHnvssSDMTF5Y7U6Y/ZQ9YxpqqW2nMqlGmo+V8JP6JWJ/scHnjF5XYDTbxSDA20CVaajX5ZdjsBdZ9a5m9WHeH7a41rttY1bEWiJRr3SmCEqPDvVqwahVK5GiD0GJwYxqk1VygbhJcBuK9LkQTrot7jUqBRx2DsN8DJ4TInWoqLcgLICFYgSvoQZ8L9ZUCy5i9RY7zDbp7U51Z8K0KhiabBjiY81bXESzsUO5wUyBeFusW7cOHMdh8uTJ+OabbxAbGyvep9VqkZWVJTbRIdqntrFZ75zog+UWIF1bMaZh8zVLxeQbdY3Sen1Ac5FRdKjG60YNoRrenvF0lfS6wQGAUQi80ryUloga6haZZynB3E68fX0Ab7tWYjCjtM4MZPprZr7jdDrF84KvDX0q6vmF1FGJaeEbrXYxqeFrtjAxig/EqVYzsDAZQriPgTjA1yPVW+ySanPvdHJQKOAX56+imkZsOVmFmDAtpg1M9sPs/EOD+Bn6dp7RqpUI0ShhtjkRKKM02QXiEyZMAMB3v8zMzJSspZzUYT0xNCoFonw0+K8TJBv7z0qrm9hZoYg0yscVLSvWlJoGHgDW5fO6dZbV9oYJfRPw7Z6zktVQR4dqUG+2Y+oA7yRnbCFWb7bDbndC7UX3yq7E22ZFLUmJDgXO1OJUlbSs/Yxmu1jA5qs/doSW/x1a7N5/17sC5piiUyt9dlqI1PGv0SjBrH93Jr+MX9xVNfhekM8arBXWmiSzw/jFjiI89L+DuHxwCv4zx7eGPPuLDbj/mwMYlR0rmUCc4zi/7WoAgD5UA7PNgqYA7WpI64rkAVlZWdi0aROuv/56XHTRRTh79iwA4OOPP8amTZuCPDvp0/JL6+tixigE4meqpZVR3XisEoD37e0ZDqH6/WSl9Aqoimv4xYYvmRzWOpxZ6EkJp5MT59Uj3jtp0MCUZm1yqQRf46bjgv2kD7/DYsHt4ZeDZX6Zk7+oamhevCZE+Lbz1i+Z//yl5prCPPj9cS5lDy+U2Lm0u8Ouh2o/eLizhjAHiqWzA2ey8Atif1jUp8WEYnL/RIzM8q1xjj+pNdnEXSR/NMQKdD2KbAPxb775BtOnT0doaCh2794Ni4X/8hsMBixbtizIs5M+/tyKY8Vw0T5m1v1No6BN9TXjz9xlpWbXBDRnUSf1977IKFnQlkuxmLHaZIXNwV9AvJVQhWjVYiMgKX6Gx8r5QM7qQ6aXvTd1jdLKpLLAJlyr8nknIrGFw4+UfLb3FtYBaC7Y9AVWB8Hs9IjAECbIGfxhOMCCOIeE7AtvyM3C1qVT8MCMAT4fa1hGNN6/6ULcd2l/P8zMPzDZGgDE+NAzhMGsfE/4mMRzF9kG4k8++SSWL1+Od955BxpN8xs/duxY7N69O4gzkwfs4mHyQ4ElawrjqwbU3/QUOg5OG5jk03FY50IFfO9C6m9Y8NzDhwK9ECFAOlQinQwOY9cZ3hYuXKcWt3y9gflzS7FgU6dm9pPRXh/j0sH8FnFSlG9ZZ3/DdJu++PgzpOqzzSwj/dHWPDaM//xIcBlY2Gfoa4t7ABghtFj31STAn4RoVEjWh4hN/LobrBttqEYFlQ/XCQazQDxSEhi5rWwD8fz8fIwfP77V7Xq9HnV1dYGfkMxgBWI2H83vgeaLrJQujkCzZCbGx2LNHoKlnJPzT9bLnzDZRrKXjilA866ILx7IXcW+Iv5E6GsGlO0cMK9ZKcEK/S7qHe/1MdhCrExiuxoNftx506lVYoadnb+kgF44v4zuGdvJyM4Z14f/DmRK1CKuO2J3OEWHE398T5k7kNSuh90Z1iwsKtQ/ZY9MRqf2Q1DvDrINxJOTk3HixIlWt2/atAk9e/YMwozkRaKQOWP6YF9gW3FS89lm89H7KE0J1ajEpjlSkzYcKOYDVZ3a+xzaoLQo8f/rJPb6mNwvK863wIR1rvz5YKmvU/IrVrtTLBDzpqsmg1lXltdbJCXbOCRklHwpJm4J6wZcIKGGN+ycEOurhzhaOFBREBcwWp7Tw7S+h0RSdBFbtb8U/91wEkf94Bxltjkw4fl1GPHEar/sqPsDfy74AeCCTH5XgzmmdTWyDcTnz5+Pf/zjH9i2bRsUCgVKSkrw6aef4t5778WCBQuCPT3Jo1LwH70/Mi+1QiZVahrjE0JHTIuPlc8KhQJ6QXdWJaE2906nU3Ss8cUZJiEyBFHCxcMfrgH+hAVe3jQrakmCoKGuaZDWQqOo1gSO47uj+hLIJUTqoFDwOwfHy6Vj78csMf11wWadR6Xk0cx2kmL8IE2JkGAQ190prGneXQnR+B7IFQuL/ryT1T4fy198s7sYT/98FPuLfJda6NRKFNc2odpklUzW/4yfdzrZ7zBQ7kWysy9kLFmyBE6nE1OmTEFjYyPGjx8PnU6He++9F4sWLQr29CQP+wFF+kG76Y/iiK6AZcR9aKopwmQu2wpqMCxTGtXihhYt6QenRft0rBR9KIzmepQazOidKJ0OqUxqkeqD9AYALh2UjDVHK3zKOncFm0/wF2snx0Hpg6WBSqkQO/rtP2tA/5Sozh4SEJj1Z0aMf6QWvRIicOCsAXo/bUH7A+Z64w9ZUIWRXwjvK6rz+ViEe7BFosofliJoltFVSUjqd1GvOESHatAr0fcdcIVCga9vz0W4Vu2Xugh/wOqb/JUoY3FRoLzgpXM28xCFQoEHHngA//rXv3DixAk0NDQgJycHERHS634oRVh1vj+sfjJbFApa7U5oJeLTrFQo4OQ4sdjSF7QqJSx2J8olZH9XKWSv9aEaxEb4dkJM1ocgv7weZ6obcXEff8zOPxQJtnxJPgbQ2fHStGhkNnUhfuikmBQVglKDWSw8kwLM07dvsn8Wd+x4UsoYs06f/ihWZ6dj8hEPHCz7mRrtn0X6sIxo/Ha43OdW6/7k1ov9K9e9QCLJKAZbRPljVwoACgSrYrbI7mqkETH5gFarRU5ODkaNGkVBuAfsFlxT/OGN3dJAv0kixYxmm0Nsce+rvhgAhmdGAwD6+MHeyl+wRUGyH3RsJULzo58OSEtDvV/QwBt81K6zTHi5wQKnhDTUbF5je/smvQGav6M2h3QC8QY/NtkApKm/ZRf/C3v4HpwMTOV3MnytayHch2U9w7X++Y6yRT/1GgwcbMd0eEa0X46nVvEfXqCkN7LLiN9yyy1ujXv//fe7eCbdg9hw30/4WrUSGpUCNgeHRpsdegT/IsJkKSqlwi9BALvYSqU4BQBOCwVriX6wrIuL0OJ4BVAhIQ08x3HiYsrXXQ1WdGN1OFFQZUKvRGks2tn77Q/pBivYlJJzCqs58Je1KdPfbjxeievHZPnlmL7CFgU94n3f9s+M5Y9h94ObFeEe/uzICAS+GUww2HqqGmeqTbiwR6xoExxM/F2seWGPWHyz+yzSAtRtWnYZ8RUrVmDdunWoq6tDbW1tu/+IjskSijQn9PW+EUxLVMLyn0kJgg3LFkeG+N7tDpDmlvhvh8sB+Oc9ny60Kk6XkPdtS+eIIT54bAN822kmAWVZdinAvqf+qM5nFo1SchRhBWuHS/3jUc98/KslUlRsdzjFRX+0H1xTqFgz8Gwv4HsV+KtQnfUFqJRQUmPwI79i2OO/+c32852Np3D/NwfE9y7Y+HsxxfzkAyXzk11GfMGCBfj8889RUFCAm2++Gddffz1iY333bz3fqBe/uP7JXluF7fCztWYg2y+H9Im9QrGTv4otmGbzUIAM/t2BuTXE+9g6HGj2oa4ySefiUSEEqVEhar80hEmI1KHcaIHZLp0gZ/cZ/yUNWCZcSm4Nor+vv2zFsmJwpKzepwZW/oRJugD/dBaOEHYOrA4n6s02MbtKdB0sOLX4Kehi0rBqiRRr2h1O8XofovbPztSwjGhwCJy9X2dsOclruf2VhIgMcG8U2WXE33jjDZSWluK+++7Djz/+iIyMDFx99dX49ddfJdf1UMqIujidf36YTNMYIP/7TmEZM38VjjKLRillG9OFbbPLBqf4fCwmvak1SadIrFxwkPDXyX6YoB/0RxMrf8GKR/3h2JAt9AQw26VRpwEAvQUJ0Pi+iX45HtPfWiXyGR4XLFIV8E/zj5YuVsx+leha0gRZ2AA/OQ2lt5CZSaFmSqVUIG/pZKy+Zzyi/FR7sGhKH7x/04WY1N8/v2tfqWvyb8DMNOLVAbK7lUjY5Bk6nQ5z5szB6tWrcfjwYQwcOBB33HEHevTogYYGOnm5A/Pd9NcWKDv5SCWDw+YzIss/1d1M/+mvE5k/YIFquh90bGw7VUquMJtP8FkOfzj7AM0aain53SuEZuaD0/U+H2uc0JlTAYVkClJZRknvJ4tT5gcvFT9/5pgS6icNvFKpFLuHSkna0J3RCAuobD9o/AEgLSZULNSUgs+2QqFAij4UfZIi/WbRKDUyY/lz+wVCwbqvsPNyk80Bp7Pr5SmyDMRbolQqoVAowHEcHI7grz7lAmvVrvVTCptdiKTSAt7gp/b2jKGCRtmXxjn+psKP+mK2o2F3cpLprslkQE02/1zMpKahbrDYRUlXjh+ycanRfABgdThRI5HPkO28RfpJmsIa+pz2cwMPb2ENYPr7yZ4RaN5F0PnB0pLonAYLf63wV6GfSqkQrxOGJmn8Drs7LO+Q7ocGhQCQ1MIAwRiAeg1ZBuIWiwWff/45LrnkEvTt2xcHDhzA66+/jsLCQllYGL7xxhvo0aMHQkJCMHr0aGzfvj3gc2Ar46x4/3xxw4VAXCr+t0Y/tbdnBFoz1hl2u1PM7Eb5QT+dHKUTsziB2o7rjFAhyPHXljHTUAfKG7YzxIJindovQYBGpUSikDEulEjRNPuOWv1kqcg6rUrFGUZsb+/HxiZxEUwmJo3fYXentE6Qh/kxWcyuOywhFExK6prw9saT+GFfid+O+dOBUkx8fh3+9fU+vx3TF0x+dk2Jj9CJxf2BKNiUXSB+xx13ICUlBc888wz+9Kc/oaioCF9//TUuv/xyKP3RQrGL+fLLL7F48WI88sgj2L17N4YOHYrp06ejoqIiYHOw2p2iLVxKlH9cMvKFttp/HK/0y/F8ZadQBOevhQEraq2XyELjZFUDmPggxQ+NI5RKpVj0KRWNMVsYXNQr3i/Hu7AHX9TdaLXDIQGvbSYP84f9JIMFhN/sKvbbMX3B3wvX3oJVGgfAJoHvKSuY9odjCoPt4kml2K+7s/8sv/NWUOW/xWujlf/ebz0VfFeRExUNWPbTUby57oTfjmlzOHG6uhFn6/zjwuIrzAbWX2sphaLZ9jgQGXHZuaYsX74cmZmZ6NmzJzZs2IANGza0Oe7bb78N8Mzc46WXXsL8+fNx8803A+Bfz6pVq/D+++9jyZIlbh3j/v/bjwv6pIoNCCobzCiobIQ+TI1+Sc3Zw33FdbDYnBiQEilqt6tNFhwtrRfH+KtYk0lcTlQ04LNthThZ2YDqBisy40KRLAT7ZpsD+4sNUCqAkT2anW5OVTWgqt6K9JhQ0TbI5nBij9B0aFR289gzNSaUGyxIjQ4RdeAOpxO7zvBjR2ZFQ6lU4ohgl+Yv32+WvTxWzr8+gA/Kj5TWQ6dRitIVAMgvN8LQaEd2QhgSIvgg2WS149BZIzRqBYZnNOvWT1Q0oMZkRVZcmCgxYe+TSgmMyGrxPlU2oKrBivTYUNiEVXqYVoVQPzWiiA3TorLegqd/OoqeCeHon9z8XTpw1oAmqwP9kyNFnXytyYrjFQ0I16kwMLVZ43yoxACTxYE+SRFiUGFosiK/rAFhWhUGpTWPPVpmhLHJjl6J4YgL17m8r2wxleSnQHVy/wTo1HyH1Lf/KMDJygbYHRwGp+lFaVVFvRmnqxoRHaZB3xbNm/YV1cJi55CTGikuyqoaLDhVaUJUqNrlvdp/tg5mqxP9UyLFLWr2XkXoVMgR3qsfhQxVlR93IJjede3RCny2rRAcOOwo4N/H4ZnR4v0ldU0orm1CYqTOxf965+kaODlgaIYeOsFhodTQhKKaJsRFaF383HcX1rZ+/4xmnK5uREyYBn2SIqEAHzSn+6nFfc+ECCgV/Fb0K78fx9k6s8t7CjR///omRyA6tOPv35FSI+rNdvROjBAXMZ78rj/ddkZ8j/wFC+4/3HJalOLUNlpxvNy935qxyYajZfXonxyJ2yf2EseuOVKOcqMFF/WKEz/zynoLVh8uR7hOhSuHpYlj1+dXoKTOjFHZsaJUpq7Rip8OlCFEo8RVF6SLYzefqMKZ6kaMyIpBP0GiU2+24cd9pVCrFLh6ZIY4duupapyqNGFohl58HU1WB77bcxYKBTBnVKY4dufpGhwrb8DA1CgMFQqtrXYn/m9XMQqqTMiKDRWTb0U1JpQaLEjS65AleLFzHIcdpzv/7lts/IIuzo+7GizRtSG/EjFhWpQYmlBc04T4SC16xjf/hnaeqYHTCQxJ14vddcuNZpypbkRchBY3XdQDGYLc4tvdxTDbnLh8cLK48DtR0YDtBTVIjQ7BxH7NhZP/23sWJosDl+QkITZci5nDUpGs95817dje8fj69lwkROjE74VOrcSsEa2/FxdkRYvnR/F7oVQgOkwjnvsKqhpQ6UMMwKwn/dnnIzJEA6PZjud/PYoJLYrNxWtWQjjihORVg8WGwyX10KkVGCpc3xtN9W0ety1kF4jfeOONfvGFDgZWqxW7du3C0qVLxduUSiWmTp2KvLy8VuMtFgssluaCHaORDy5XHSjFz8fct9H7fm/bt0fq1H6p9AeAcb0TcLr6DI6VN+Df3x3odPy3e866fezv93o/NifVP7KGlsFgW6/vyx1Fbh/r653uZyu/2d3xa+/jx8Y0CZE65JfXY9OJKmw6IQ35BtBcZOkrIVo1BqXpsetMLZ795ah4u2ffLw+e0M2x/rC9Y4zvm4D9xQaUGsytvqe+/I58GatUAGl+8qdXKRWiDeUb60/65Zgd4e7vWucndyaguTi5sKbRrXNpe8RHaF0C8fc2FWDLyWq8Nme4GIgX1fLPkRkb5hKIf5x3BmuOVuDZWYPFQLzMyH+n4iN0LoH459sLsXJ/KR69IkcMxGtMVvz7uwMI16pcAvFvdxfjq53FuO/SfmIgXm+x4d/fHYDynED8x30l+DDvDBZN7t0ciDucXr0n7nyfx/fzT08NgO+QuvlENbafrsH2051nxdub3+jsWDEQX/bTUVQ1WHBBVrQYiO86U4N/f3cAU/onugTiL/52DIU1jeifEokLMmPwyuzhfnhVzcRH6MQd1GPl9fj3dwcQF651CcS/3FGEH/aV4OE/5YiBeF0j/1mHalTISY3CLjftW909H6X6sQ8G28379VA5fj1U7vbjvhSu706L+zsssgvEV6xYEewpeE1VVRUcDgeSkpJcbk9KSsLRo0dbjX/66afx2GOPtbo9IUKLnB7xYrakxmRFYU0jokLULl2ujpQaYbE70ScxQtRO1TVacbq6ERE6Ne6c3Ntvr23exdlosNjEYs3T1SbUNdqQFh0qOh1Y7U4cLjVCqVBgSAuXiKKaRlSbrEjRh4hZYZuTwyFhy3BYi7a1xbVNqGqwICkqRJRkODlObNIyJF0vXsjiI3WYf3FPv7y+i3rFYUzPWDidnHgSNFnsOF7RAJ1a6aJjPlXZAKPZjszYMDHL1mRzIL+sHmqVAoNaZLTY+5QeEyqe2Cx2J46UGqFUKjCkRfausKYRNSYrUqJDkRSpg0qpwHWj/ddd8B9T+8Du5HCqsgERIWpRBgAAR8vqYbY50CsxQiy8MzTZUFBlQphW5ZI9PlZej0arAz0TwsWMcL3ZjpOVDQjRqFwK205UNKDBYkdWXJiY0TNZ7The3gCtWokZQ1IwOM13RxHG/Zf2x4otBbA7OBw4a4DDyaF/cqSYjapusKKothFRoRr0bJEpPlxqhNXuRN+kSLFLZG2jFWeqGxEZonbJFLPfXe/ECHF7k71X4Tq1y+LpdJUJ/5zWz2+v785JvVHXaEWFsXkBzzz1B6XpRUeOMqMZZQYz4iK0Ll099xXXgeP4BSzb5aqot6CkrgkxYVpkxTWPbev9q2qwori2EfpQjehCMbZ3vN9cRQDg4T8NxA/7zqKuse33tO3vnw0nK03tfv96xIV5/bsuqmnEfdP7++313XdpPxR93ojU6FC3f2vZ8eGiLrneYsfJioZWBcAjs2IQoVMjuUVxtz5Ug2k5SYiPdN11Gp4ZDZVSgbTo5s87QqfGtJykVs5RQ9OjYbU7kdniuxGqVWFaTlKrgtOBqXpMy7Ehu4UPvE7Fjz3XHal/ShSm5SSJCwEAUCsVmJaThMKaRqTHhIk63hJDEyqMFiRE6sRFHwdgn5vf/dToUOT2jIO/eODyHLy14aSYbS83mlFqMCM2XIvMFgWF+4sNcHIcBqRENTcCarDgbG0TosM04rUTACb2S4CxyebStCYtOgzTcpJcrqcAMK5PPKrqLX6rkeqIcOF7ca5j2pB0Pcw2h8s5I0TDf9ZatRIZsWHiLoQ/YgCzzYHhmf5xSQOA+Rdn4+O8M9Cde86obECDuf1rFvvdWZsa8KGbz6XgyHw7YJSUlCAtLQ1btmxBbm6uePt9992HDRs2YNu2bS7j28qIZ2RkwGAwICrKP5legiAIgiAIwn8YjUbo9Xq34jXZZcTlTHx8PFQqFcrLXbc5ysvLkZyc3Gq8TqeDTue/Qi6CIAiCIAhCOkjfZqQbodVqMWLECKxZs0a8zel0Ys2aNS4ZcoIgCIIgCKL7QxnxALN48WLMnTsXI0eOxKhRo/DKK6/AZDKJLioEQRAEQRDE+QEF4gHmhCMIIwAAVQlJREFUmmuuQWVlJR5++GGUlZVh2LBh+OWXX1oVcLYFk/Mz9xSCIAiCIAhCWrA4zZ0yTCrWlBGnTp1Cr169Oh9IEARBEARBBJWTJ0+iZ8+O3dsoIy4jYmN5U/vCwkLo9f6zdJMaF154IXbs2BHsaXQZ9PrkT3d/jd399QHd/zXS65M/3f01dufXZzAYkJmZKcZtHUGBuIxgXcT0en23ti9UqVT0+mRMd399QPd/jd399QHd/zXS65M/3f01dvfXBzTHbR2OCcA8CMIjFi5cGOwpdCn0+uRPd3+N3f31Ad3/NdLrkz/d/TV299fnLqQRlxGeGMQTBEEQBEEQgceTeI0y4jJCp9PhkUceoSY/BEEQBEEQEsWTeI0y4gRBEARBEAQRBCgjThAEQRAEQRBBgAJxgiAIgiAIgggCFIgTBEEQBEEQRBCgQJwgCIIgCIIgggAF4gRBEARBEAQRBCgQJwiCIAiCIIggQIE4QRAEQRAEQQQBCsQJgiAIgiAIIghQIE4QBEEQBEEQQYACcYIgCIIgCIIIAhSIEwRBEARBEEQQoECcIAiCIAiCIIIABeIEQRAEQRAEEQQoECcIgiAIgiCIIECBOEEQBEEQBEEEAQrECYIgCIIgCCIIUCBOEARBEARBEEGAAnGCIAiCIAiCCAIUiBMEQRAEQRBEEFAHewKE+zidTpSUlCAyMhIKhSLY0yEIgiAIgiDOgeM41NfXIzU1FUplxznvgATiRqPR48dERUV1wUzkTUlJCTIyMoI9DYIgCIIgCKITioqKkJ6e3uGYgATi0dHRHmVwFQoFjh07hp49e3bhrORHZGQkAP6DpYUKQRAEQRCE9DAajcjIyBDjto4ImDTl//7v/xAbG9vpOI7jcPnllwdgRvKDLWaioqIoECcIgiAIgpAw7iShAxKIZ2VlYfz48YiLi3NrfM+ePaHRaLp4VgRBEARBEAQRPAISiBcUFHg0/uDBg100E4IgCIIgCIKQBuSaQhAEQRAEQZzXnCivx/d7S3DgrAFFNY2wOpwoM5jBAUiM1EGl5GUmJosdRrMdoRoVosOa1RvlRjOcHJAQoQNsjW4/b1AC8TVr1mDNmjWoqKiA0+l0ue/9998PxpQIgiAIgiCI8wyHk8OCT3bht8Pl7Y4pNZhb3dZgsaPBYm91e5nRDKel9fj2CHgg/thjj+Hxxx/HyJEjkZKSQn7YBEEQBEEQRMCpMJpx1xd7sPVUDQAgXKvCP6f1w4CUKIRolDhe3gAOHLLjw6FR8X7gtSYrKhssiAzRIEUfIh7rZIUJDs6JrNhw2MwNGP+Ke3NQcBzH+fuFdURKSgqee+453HDDDYF82m6B0WiEXq+HwWAg1xSCIAiCIAgvOVXZgBve246zdU0I06pw2/ieuGty704b8LiDJ/FawDPiVqsVF110UaCfliAIgiAIgiCw+lAZ7vh0N2xODj3jw/Hu3JHomRARlLn4HvZ7yK233orPPvss0E9LEARBEARBnOcU1ZiwQAjC9aEafPn33KAF4UCAMuKLFy8W/9/pdOLtt9/G77//jiFDhrTyC3/ppZcCMSWCIAiCIAjiPKKqwYIb3tsOu5NDuFaF7++4CAmRuqDOKSCB+J49e1z+HjZsGIDWfuFUuEkQBEEQBEH4mwaLHTd9sB2nqxuRFh2KbxZchOQWxZbBIiCB+Lp16wLxNARBEARBEAThQqPVjikvrke50YK4cC0+uXW0JIJwIIAa8Q8++ACFhYV+P+7Zs2dx/fXXIy4uDqGhoRg8eDB27twp3n/TTTdBoVC4/Lv00ktdjlFTU4PrrrsOUVFRiI6Oxrx589DQ0OAyZv/+/bj44osREhKCjIwMPPfcc63m8vXXX6N///4ICQnB4MGD8dNPP7ncz3EcHn74YaSkpCA0NBRTp07F8ePH/fhuEARBEARBEAyO4zDrrS0oN1oAAMuvH4Hs+PAgz6qZgAXid9xxB7Kzs9GzZ0/MmzcPn3zyCc6ePevTMWtrazF27FhoNBr8/PPPOHz4MF588UXExMS4jLv00ktRWloq/vv8889d7r/uuutw6NAhrF69GitXrsTGjRtx2223ifcbjUZMmzYNWVlZ2LVrF55//nk8+uijePvtt8UxW7ZswZw5czBv3jzs2bMHM2fOxMyZM13kN8899xxee+01LF++HNu2bUN4eDimT58Os9l943eCIAiCIAjCPV787RiOlNYDAP4xpTcuzI4N8oxcCZiPuMViwZYtW7BhwwasW7cO27dvh9VqRe/evTFp0iRMmjQJEydORFJSktvHXLJkCTZv3ow//vij3TE33XQT6urq8P3337d5/5EjR5CTk4MdO3Zg5MiRAIBffvkFl19+OYqLi5Gamoq33noLDzzwAMrKyqDVasXn/v7773H06FEAwDXXXAOTyYSVK1eKxx4zZgyGDRuG5cuXg+M4pKam4p///CfuvfdeAIDBYEBSUhJWrFiB2bNnd/p6yUecIAiCIAjCPd7ZeApP/XQEAPDMVYMxe1RmQJ7Xk3gtYBlxnU6HSZMm4dFHH8WGDRtQW1uL33//Hddccw0OHz6Mm266CWlpaR4d84cffsDIkSPxt7/9DYmJiRg+fDjeeeedVuPWr1+PxMRE9OvXDwsWLEB1dbV4X15eHqKjo8UgHACmTp0KpVKJbdu2iWPGjx8vBuEAMH36dOTn56O2tlYcM3XqVJfnnT59OvLy8gAABQUFKCsrcxmj1+sxevRoccy5WCwWGI1Gl38EQRAEQRBEx9z64Q4xCF98Sd+ABeGeEnAfcfGJlUoolUpRt81xHDIzPXuTTp06hbfeegt9+vTBr7/+igULFuCuu+7Chx9+KI659NJL8dFHH2HNmjV49tlnsWHDBlx22WVwOBwAgLKyMiQmJrocV61WIzY2FmVlZeKYczP17O/OxrS8v+Xj2hpzLk8//TT0er34LyMjw/03hyAIgiAI4jzD5nBi3ood+P1IBQDg+tGZuGtKnyDPqn0C1lnTarVi69atWL9+PdauXYtt27YhKysL48ePx/z58/HJJ594HGg6nU6MHDkSy5YtAwAMHz4cBw8exPLlyzF37lwAcJF8DB48GEOGDEGvXr2wfv16TJkyxX8vsAtYunSpiwe70WikYJwgCIIgCKINjpfXY+m3B7DzDK9WmNA3AU/+ZXCQZ9UxAQvE9Xo9EhMTccUVV2DhwoX44osvkJyc7NMxU1JSkJOT43LbgAED8M0337T7mJ49eyI+Ph4nTpzAlClTkJycjIqKCpcxdrsdNTU14vySk5NRXl7uMob93dmYlvez21JSUlzGMF/1c9HpdNDpgms0TxAEQRAEAQA1JiuMTTb0aOE68tuhMpisdozvk4C4CD5mKappxPaCGsRH6jChb4LL2LomG3RqXpDBcfwx88uMCNOqMTBNL9zO4eBZA+rNdvRJikBMmBYcAEOjDYfLjAjVqDA4TQ9OOMiewjpsOlGFynoLOADhWhVeumYYpg/0Lc4MBAELxIcOHYo9e/Zg48aNoixl4sSJiIuL8/qYY8eORX5+vsttx44dQ1ZWVruPKS4uRnV1tRgM5+bmoq6uDrt27cKIESMAAGvXroXT6cTo0aPFMQ888ABsNpvYCXT16tXo16+f6NCSm5uLNWvW4O677xafa/Xq1cjNzQUAZGdnIzk5GWvWrBEDb6PRiG3btmHBggVevwcEQRAEQRBdzau/H8era47hkpwk/PeG5rq6ZT8dwenqRnyzIFcMxPcV1+GfX+/D6OxYl0D85d+P40ipEb0TI3CioqHVc3jClzuK2rx9Wk4SHvnzQKRFh/p0/EARsEB869ataGhowKZNm7Bu3To899xzmDNnDvr27YuJEydiwoQJmDBhQiu9dkfcc889uOiii7Bs2TJcffXV2L59O95++23RVrChoQGPPfYYZs2aheTkZJw8eRL33XcfevfujenTpwPgM+iXXnop5s+fj+XLl8Nms+HOO+/E7NmzkZqaCgC49tpr8dhjj2HevHm4//77cfDgQbz66qt4+eWXxbn84x//wIQJE/Diiy9ixowZ+OKLL7Bz505xLgqFAnfffTeefPJJ9OnTB9nZ2XjooYeQmpqKmTNn+uldJgiCIAiC8D+T+yfi5d+PweF0NdsbkRWLjNgwRIZoxNsSIvhMeP/kSJexF/aIQXKUDhEhaiRF6aCAAg0WOwprGhGmUaFXYgQAQKEATlWa0Gi1o0dcOKLDNAAUMFnsOFnZgBCNCgNSIqGAAgoFcLKyAQkROtwyLhtTBrjvvicJuCBiNBq5VatWcXfffTen1+s5lUrl8TF+/PFHbtCgQZxOp+P69+/Pvf322+J9jY2N3LRp07iEhAROo9FwWVlZ3Pz587mysjKXY1RXV3Nz5szhIiIiuKioKO7mm2/m6uvrXcbs27ePGzduHKfT6bi0tDTumWeeaTWXr776iuvbty+n1Wq5gQMHcqtWrXK53+l0cg899BCXlJTE6XQ6bsqUKVx+fr7br9VgMHAAOIPB4PZjCIIgCIIgPKXc0MTtOlPT6jaiczyJ1wLmI94Sp9OJHTt2YP369Vi3bh02b94Mk8mErKwsFBQUBHo6soF8xAmCIAiC6GpK6ppwzdt5qDPZ8PltYzBI0G4T7uFJvBYwacr27duxfv16rF+/Hps2bUJDQwPS09MxceJEvPbaa5g0aRJ69OgRqOkQBEEQBEEQbRAbrkWqPhRKhQJRLSQnhP8JWEZcqVQiOTlZ7KI5adIk9OrVKxBP3W2gjDhBEARBEIGg3mxDk82BxMiQYE9FdkgyI37kyBH069evwzEcx0GhUARoRgRBEARBEATAB967ztRiYj/eNCMyRONSgEl0DQHrrMmC8Oeff77N+x0OB6699tpATYcgCIIgCIIAYLU7cfsnu3DLih34ZldxsKdzXhHwFvfPP/883nvvPZfbHA4HZs+ejb179wZ6OgRBEARBEOc1SgWQGRuGUI0KfZMiO38A4TcCJk1hrFq1CtOmTYNer8df//pX2O12XH311Th69CjWrVsX6OkQBEEQBEGc16hVSiz7y2D8fXwvl66ZRNfjdUb85MmTePDBBzFnzhyxRfzPP/+MQ4cOdfi4Cy+8EN988w1uueUW/PDDD5g1axby8/Oxbt06n1veEwRBEARBEO6x9VQ1mGeHQqGgIDwIeBWIb9iwAYMHD8a2bdvw7bffoqGBb1O6b98+PPLII50+fvLkyfjoo48wa9YsFBQUYMOGDUhKklknJIIgCIIgCJny7h+nMPvtrXhy1REEoaUMIeCVNGXJkiV48sknsXjxYkRGNmuJJk+ejNdff73V+KuuuqrN4yQkJCA6Ohq33XabeNu3337rzZQIgiAIgiAINwnT8iFguC7gKmWiBV69+wcOHMBnn33W6vbExERUVVW1ul2vb7sj0/Tp0715eoIgCIIgCMJDWtpEXzs6E4PSojA4TU/W0UHEq0A8OjoapaWlyM7Odrl9z549SEtLazX+gw8+8G52BEEQBEEQhNtwHAenoDRRKZsD7Hc2nsLKA6X4fP5oMRs+JD06CDMkWuJVID579mzcf//9+Prrr6FQKOB0OrF582bce++9uPHGG/09R4IgCIIgCMlSYTTjix1F+HZ3Mc5UN0KpUCBE01yG12RzwMkBIRolVEL22e7kYLE7oVQAoRpVq7F3Te6NxdP4HixbTlTh+ve2oW9SJH65e7w49tp3tmLLyWq8OnsYrhzGJ0L3FtXhL29uQUZsKP64b7I49od9JThw1oAVW07jjom9u/T9INzHq0B82bJlWLhwITIyMuBwOJCTkyM25HnwwQdbjb/ggguwZs0axMTEuHX8cePG4csvv2wzu04QBEEQBCEFzFY73tpwCss3nITF7hRvd3AcTFZH6/E2Z6vbnBzaHOtwcq3G+VJTOXtUBm5UZYkBOyENFJwPpbKFhYU4ePAgGhoaMHz4cPTp06fNcUqlEmvXrkVsbKxbx73ooouwf/9+9OzZ09updUuMRiP0ej0MBgOioqKCPR2CIAiCOG/ZV1SLa9/dBpOFD6JHZMXgz0NTERuuQWp0KOIjdOLYynoL7A4OsRFa6NR8ptxid6Ku0QqNSonYcK04ttZkhd3JoWdCOGLDdcJYBwxNNqiVrmMNTTbYHU6E69QIEbLqNocTDWY7lAoF9GHUoj4YeBKveRWIb9q0CePGjXN7vFKphEKhcNseR6FQ4Pjx4xSInwMF4gRBEAQRfE5UNOCqNzfDaLZDAeCZWYNx9cgMKnokAHgWr3klTZk8eTLS0tIwZ84cXH/99cjJyelwfEFBgcfPkZ6e7s3UCIIgCIIguoz8snrMeWcrjGY7YsO1eOu6CzC6Z1ywp0XIFK8C8ZKSEnzxxRf4/PPP8cwzz2DIkCG47rrrMGfOnDYD6KysLJ8nShAEQRAEEUz2FdXi1o92ocZkxeA0PVbcfCHiWkhQCMJTfNKIA3y2+7PPPsPnn3+Oo0ePYvz48Vi7dq2/5ke0gKQpBEEQBBEcDp414Mo3NsPh5NAvORJf3ZZLGmyiTTyJ17xqcd+S7OxsLFmyBM888wwGDx6MDRs2+HpIgiAIgiAIyWBosuG2j3bC4eSgVirw+pzhFIQTfsGnQHzz5s244447kJKSgmuvvRaDBg3CqlWr/DU3giAIgiCIoGK2OXDbRztRYjBDH6rBp7eORp+kyGBPi+gmeKURX7p0Kb744guUlJTgkksuwauvvoorr7wSYWFh/p4fQRAEQRBEULDanfjHF3uwraAGkTo1Pp8/BjmpJA0l/IdXgfjGjRvxr3/9C1dffTXi4+M9euzcuXMxb948jB8/vvPBBEEQBEEQQcDpdOKK/2xCfnk9NCoF/nvjCArCCb/jVSC+efNmr5/QYDBg6tSpyMrKws0334y5c+dSB02CIAiCICQDx3H493cHkV9eDwCYNy4bF/XyLPFIEO7gtmvKDz/8gMsuuwwajQY//PBDh2P//Oc/d3h/ZWUlPv74Y3z44Yc4fPgwpk6dinnz5uHKK6+ERkPFD+1BrikEQRAE0bU4nBwe//EQPsw7AwCYOSwVr8weHuRZEXKiSzprKpVKlJWVITExEUpl+zWeCoUCDofD7cnu3r0bH3zwAd59911ERETg+uuvxx133IE+ffq4fYzzBQrECYIgCKLrKKpuxOKv92LH6VoAwFN/GYTrRlMvFMIzusS+0Ol0IjExUfz/9v55EoSXlpZi9erVWL16NVQqFS6//HIcOHAAOTk5ePnll90+DkEQBEEQhLfYHE6888cpTHhhHXacroVOrcTr1w6nIJzocrzSiH/00Ue45pproNO5dpOyWq344osvcOONN7b7WJvNhh9++AEffPABfvvtNwwZMgR33303rr32WnHV8N133+GWW27BPffc4830CIIgCEJWbDpehf1n61BQaUKj1YHCmkZUNViQrA9Bqj4UAGB3OrGv2AAAGJ4RDaVCAQAorm1EudGCpCgd0mN497LLByfjx32lAIAXrx6KcB1/uf9xXwlW7i/BhL6JuHZ0pvj8d3y6C3YHh2dnDUFMuBYA8MvBMnyzuxi5PeNwy7hscexdn+9Bo9WBJ2cOQrI+BACw7mgFPt12BiOyYrFgYi9x7OKv9sLQaMPDV+QgKy4cALD5RBXe21SAwWl63HNJX3Hskm/2o9xoxr8vHyDaA24vqMGb60+gX1Ikll4+AADw6bYzeHvDKZisdvRJjIQ+VAMOHOoabThR0YAwrQr9kvnHcxxwrLweDRY7esSFIyqUl782WOw4WdkAnVqJnvEROFxqhKHJBgBQKxV48eqh+NOQVF8+UoJwC68C8ZtvvhmXXnqpmCFn1NfX4+abb+4wEE9JSYHT6cScOXOwfft2DBs2rNWYSZMmITo62q25nD17Fvfffz9+/vlnNDY2onfv3vjggw8wcuRIAHzBxSOPPIJ33nkHdXV1GDt2LN566y0X6UtNTQ0WLVqEH3/8EUqlErNmzcKrr76KiIgIccz+/fuxcOFC7NixAwkJCVi0aBHuu+8+l7l8/fXXeOihh3D69Gn06dMHzz77LC6//HLxfnfmQhAEQZw/rDlSjsVf7RODwHMpNZixB3Wtbv/ZUNbqtjKjWQzU+yVH4pdD/JhnHUPEMScrG/DroXIkRLom0lYfLofNweHxK53ibWeqTVh9uByRIa6hwvr8ChjNdvz78v7ibcW1jfj9SAW0ateN9s0nqlButLgE3KUGM9YerYDzHGXstoIaFFSZsHBSb/G2ynoL1udXotHavNt+oNiAMzWNAICqhupW70O1CSiqbWp1e21jXavbAKDcaAEAxEfocPngZPzzkr7Qh2nbHEsQ/sarQJzjOCiElXhLiouLodfrO3zsyy+/jL/97W8ICQlpd0x0dDQKCgo6nUdtbS3Gjh2LSZMm4eeff0ZCQgKOHz+OmJgYccxzzz2H1157DR9++CGys7Px0EMPYfr06Th8+LA4h+uuu06UydhsNtx888247bbb8NlnnwHgtT7Tpk3D1KlTsXz5chw4cAC33HILoqOjcdtttwEAtmzZgjlz5uDpp5/Gn/70J3z22WeYOXMmdu/ejUGDBrk9F4IgCKL743RyeG9TAZ779ShsDj4gHd0zFuN6xSMyRI3T1Y2orDcjNToM6THNGfHdZ3jt8sgesWJGvLCmEWVGM5KjdMiM5bPOQ9P1iBUy2yHa5uB4cv9EJETq0CfRtSHNE1cOgpMDokKbw4LxfRMQFapBDyGTzXjkioGwOZyIbxHM5/aKw7OzBosZecYDM3JgtjqQFh0q3jYyKwbP/XUIUvSu1737L+2HerNdzJwDwJB0PV7421DERzQHxn8emgqlQoEmmwO9EyMQFaqBAoCxyYZTVSaEa1XonxIFBQCFAjhW3gCTxY6eCeGICdNCoVCgwWzD8YoGhGhUGJymR1ZcGAan6aFW+dxwnCA8wu1iTQAYPnw4FAoF9u3bh4EDB0Ktbv7BOhwOFBQU4NJLL8VXX33VJZM9lyVLlmDz5s34448/2ryf4zikpqbin//8J+69914AvH1iUlISVqxYgdmzZ+PIkSPIycnBjh07xCz6L7/8gssvvxzFxcVITU3FW2+9hQceeABlZWXQarXic3///fc4evQoAOCaa66ByWTCypUrxecfM2YMhg0bhuXLl7s1l86gYk2CIAj5Y3M4cd//7cd3e84CAEZlx+K+6f0wskdskGdGEIQ/8CRe8ygjPnPmTADA3r17MX36dBfphlarRY8ePTBr1qwOj3HVVVe1ebtCoUBISAh69+6Na6+9Fv369et0Pj/88AOmT5+Ov/3tb9iwYQPS0tJwxx13YP78+QCAgoIClJWVYerUqeJj9Ho9Ro8ejby8PMyePRt5eXmIjo4Wg3AAmDp1KpRKJbZt24a//OUvyMvLw/jx48UgHACmT5+OZ599FrW1tYiJiUFeXh4WL17sMr/p06fj+++/d3su52KxWGCxWMS/jUZjp+8JQRAEIV2MTTZMfnE9qhqsUCkVePTPA3H96Mw2d5kJguj+eBSIP/LIIwCAHj164JprrvFKThEVFYXvv/8e0dHRGDFiBADewrCurg7Tpk3Dl19+iWeffRZr1qzB2LFjOzzWqVOn8NZbb2Hx4sX497//jR07duCuu+6CVqvF3LlzUVbG6+OSkpJcHpeUlCTexywZW6JWqxEbG+syJjs7u9Ux2H0xMTEoKyvr9Hk6m8u5PP3003jsscc6fA8IgiAIeWB3OPGXNzejqsEKAHjzugswfWBykGdFEEQw8UoMNXfuXK81zcnJybj22mtx6tQpfPPNN/jmm29w8uRJXH/99ejVqxeOHDmCuXPn4v777+/0WE6nExdccAGWLVuG4cOH47bbbsP8+fOxfPlyr+YmNZYuXQqDwSD+KyoqCvaUCIIgCC/gOA4PfHcQJytNUCiABy7vT0E4QRDeBeIOhwMvvPACRo0aheTkZMTGxrr864j33nsPd999t0tTIKVSiUWLFuHtt9+GQqHAnXfeiYMHD3Y6j5SUFOTk5LjcNmDAABQWFgLgg34AKC8vdxlTXl4u3pecnIyKigqX++12O2pqalzGtHWMls/R3piW93c2l3PR6XSIiopy+UcQBEHIj2d+OYovdxZBqQDeum4E5o/v1fmDCILo9ngViD/22GN46aWXcM0118BgMGDx4sW46qqroFQq8eijj3b4WLvdLhY4tuTo0aNiM6CQkBC39HJjx45Ffn6+y23Hjh1DVhZvwJ+dnY3k5GSsWbNGvN9oNGLbtm3Izc0FAOTm5qKurg67du0Sx6xduxZOpxOjR48Wx2zcuBE2W7O91OrVq9GvXz/RoSU3N9fledgY9jzuzIUgCILoftyyYgf+u+EUAOCZq4bg0kGUCScIQoDzgp49e3IrV67kOI7jIiIiuBMnTnAcx3GvvvoqN2fOnA4fu2jRIi4+Pp576aWXuD/++IP7448/uJdeeomLj4/n7rrrLo7jOO6dd97hxo4d2+k8tm/fzqnVau6pp57ijh8/zn366adcWFgY98knn4hjnnnmGS46Opr73//+x+3fv5+78soruezsbK6pqUkcc+mll3LDhw/ntm3bxm3atInr06ePy+uoq6vjkpKSuBtuuIE7ePAg98UXX3BhYWHcf//7X3HM5s2bObVazb3wwgvckSNHuEceeYTTaDTcgQMHPJpLRxgMBg4AZzAY3BpPEARBBI8mq527/eOdXNb9K7ms+1dyj/zvQOcPIghC9ngSr3kViIeFhXFnzpzhOI7jkpOTuV27dnEcx3EnT57koqKiOnys3W7nnnzySS45OZlTKBScQqHgkpOTuaeeeoqz2+0cx3HcmTNnuKKiIrfm8uOPP3KDBg3idDod179/f+7tt992ud/pdHIPPfQQl5SUxOl0Om7KlClcfn6+y5jq6mpuzpw5XEREBBcVFcXdfPPNXH19vcuYffv2cePGjeN0Oh2XlpbGPfPMM63m8tVXX3F9+/bltFotN3DgQG7VqlUez6UjKBAnCIKQBweK67jpL28Qg/DZ/80L9pQIgggQnsRrHvmIM/r164ePPvoIo0ePxrhx4/CnP/0JS5YswZdffolFixa10lwz7HY7PvvsM0yfPh1JSUmiHR9pn92DfMQJgiCkTbnRjH98sQc7TtfC4eQQG67Fi38bgkn9kzp/MEEQ3YIu8xFn/OUvf8GaNWswevRoLFq0CNdffz3ee+89FBYW4p577mn/ydRq3H777Thy5AgACsAJgiCI7sGZahP+t7cEr605DruTz2/NGJKCx/48EPERuk4eTRDE+YpXgfgzzzwj/v8111yDzMxM5OXloU+fPrjiiis6fOyoUaOwZ88esaCSIAiCIDqiqLYRvxwoxclKEyrrLbA7ORwqMcDh5NA3KRI6jQocx6GmwYqzhiboQzTIjONbrXMccLTMCLuDQ8+EcIRqVQCAWpMNZ+saEaHTIDO2uS378Yp6WO1O9IgPR6iGH2s021Bc24QwrYpvvy7sI5+qaoDZ5kRUqBoldWbxGGqlAvMv7on7L+sfoHeIIAi54pU0xRe++uorLF26FPfccw9GjBiB8PBwl/uHDBkSyOnICpKmEARxPmGxO3D7x7uwLr8y2FPpFKUCuKhXPK4anobLBycjROtVnosgiG6AJ/Ga24H4Dz/84PYE/vznP7d7X0v/cHESCgU4joNCoRAtDInWUCBOEMT5wukqE277eCeOlTcAAEI1Stw8NhuZsWHQqJTYU1QLh4PDoHS9mLmuqLegqKYRMWEa9EqMgAK8De6+4jrYHRwGpEQiXMcHyDUNVhRUmxAVokHf5EjxeQ+XGGC2OdEvKQIRIRooFECtyYqCqkZEhKjQL4k/9yoUwNFSIxptDgxO1WNCvwREh2kD+RYRBCFRuiQQbyuAbvOAnQTTZ86c6fDxJFlpHwrECYI4H9hyogoLPt0NQ5MN8RE63Dw2C3+/uBfUaq9aXxAEQQSULinWdDqdPk8MoECbIAiCaJ8315/A87/kgwMwLCMab984AomRIcGeFkEQRJcQlPTCxx9/jLFjxyI1NVXMkL/yyiv43//+F4zpEARBEBLgj2OVYhCeGRuGL24bQ0E4QRDdGq+qSR5//PEO73/44Yfbve+tt97Cww8/jLvvvhtPPfWUKGOJjo7GK6+8giuvvNKbKREEQRAyZufpGsz/eCc4AGnRofjprosRImi/CYIguiteuaYMHz7c5W+bzYaCggKo1Wr06tULu3fvbvexOTk5WLZsGWbOnInIyEjs27cPPXv2xMGDBzFx4kRUVVV5/irOE0gjThBEd+RoqRFX/zcPRrMdE/om4O0bR0CnpiCcIAh50uUNffbs2dPmk9500034y1/+0uFjCwoKWgXyAKDT6WAymbyZDkEQBCFTdp6uwey3t8Lu5DAiKwbLr6cgnCCI8we/acSjoqLw2GOP4aGHHupwXHZ2Nvbu3dvq9l9++QUDBgzw13QIgiAIiVPdYMHc97fD7uQQolHi3RtHiA13CIIgzgf82nHAYDDAYDB0OGbx4sVYuHAhzGYzOI7D9u3b8fnnn+Ppp5/Gu+++68/pEARBEBKlwWLHzSt2wGR1IFSjwpe3jUFMOLWCJwji/MKrQPy1115z+ZvjOJSWluLjjz/GZZdd1uFjb731VoSGhuLBBx9EY2Mjrr32WqSmpuLVV1/F7NmzvZkOQRAEISPqGq24ZcUO7C82ICZMg69vvwi9EyOCPS2CIIiA41WxZnZ2tsvfSqUSCQkJmDx5MpYuXYrIyMh2HulKY2MjGhoakJiY6OkUzkuoWJMgCLlztNSIq97agkarA1Ehanxy62gMSY8O9rQIgiD8RpcXaxYUFHg1sXMJCwtDWFiYX45FEARBSJt9RXW4/r1taLQ6oADw/k0XUhBOEMR5TcAb+pSXl+OGG25Aamoq1Go1VCqVyz+CIAiie3GmyoTHfjyEq97agnqzHVGhanxw84UY2SM22FMjCIIIKl5lxM1mM/7zn/9g3bp1qKiogNPpdLm/Ix/xm266CYWFhXjooYeQkpIChULhzRQIgiDOeziOw5HSery+9jjyy+sRFaJBuE4NDhzMNieOl9dDqVSgXxIvF+QAlNQ1wdBoQ2KUDrHhWgCAzcHhREU9AAX6JUeKxy43WlDbaEV8hBaxQiGlw8nhZGUDOAB9EiIA4RReWW9BXaMN0WEaxEVowXEAxwHHK+phczQrIGcMScHTVw1GVIgmUG8TQRCEZPFKI37dddfht99+w1//+lckJSW1CqYfeeSRdh8bGRmJP/74A8OGDfN4suc7pBEnCAIASuua8P3eEny67QyKa5uCPR23yEmJwpLL+mN834RgT4UgCKJL6XKN+MqVK/HTTz9h7NixHj82IyMDXsT+BEEQ5z3lBjP+/sku7C2qE28L1ajQNykCOo0KF2bFoE9SJBQKwGJ34lCJERolMDQjBixfUljdiBqTFakxoUiOCoECgNXhxOESAwAFhmfGAAAUCqCohh+bFBWC1OhQAIDD6cThEiMAYEh6NJRKQAEFSuqaUGWyICFCJ44FBxwtq8fkAYnom+ReET9BEMT5hFeBeFpamtvOKOfyyiuvYMmSJfjvf/+LHj16eHUMgiCI8wmL3YGP887g9bUnUNdkAwCkx4Tiril98OehqQjR+F5fc+WwNLfHXjooxe2xE/uTKxZBEER7eCVN+fnnn/Haa69h+fLlyMrK8uixMTExaGxshN1uR1hYGDQaV51gTU2Np9M5byBpCkGcXzidTryy5ji+230WRYIEJS06FLMuSMPdU/tAqQx4vT1BEATRCV0uTRk5ciTMZjN69uzpcTD9yiuvePOUBEEQ5xX7i+tw/XvbYRQy4ImROvxzWl/MuiAdahUF4ARBEN0BrwLxOXPm4OzZs1i2bFmbxZodMXfuXG+ekiAI4rxgT2Et3lx/EqsPl4u3TeyXgDevuwBhWq9O2QRBEIRE8eqsvmXLFuTl5WHo0KFuP+arr77CzJkzodXydlnFxcVITU0Vt1YbGxvx+uuv47777vNmSgRBEJKFKQA5DnByHOwO3vJVqVTAyQHHyxvw9saT+P1IBZpsDgB8seSfBqfglnHZYgElQRAE0b3wSiN+wQUX4M0338SYMWPcfoxKpUJpaanYzj4qKgp79+5Fz549AfCNflJTU+FwODydznkDacQJwn2cTie+3lWMgioTjpTWo7i2EVUNVhibbFAqFIgMVYOd/RqtdtgcHHRqJbQqJTjwftlNNr4DZIhGBQ78YJudg4PjoFIqoFIowIGDk+PHA4BSAbCTqjcGUQoAfx2Rjr9P6IXeiRG+vg0EQRBEgOlyjfgzzzyDf/7zn3jqqacwePDgVhrxtp703HifLAwJgugKGix2fLOrGM/+chSN1rYX9g6OQ12jrdXtFrsTFrtrgzIOELPULsdwcnCg9XnM6cWpLTpMg4yYMGTFheGuKX3I6o8gCOI8watA/NJLLwUATJkyxeV2juOgUCgCltV+9NFH8dhjj7nc1q9fPxw9ehQAMHHiRGzYsMHl/r///e9Yvny5+HdhYSEWLFiAdevWISIiAnPnzsXTTz8Ntbr5rVm/fj0WL16MQ4cOISMjAw8++CBuuukml+O+8cYbeP7551FWVoahQ4fiP//5D0aNGiXebzab8c9//hNffPEFLBYLpk+fjjfffBNJSUn+ejsI4rymyerAlzsK8draE6gxWcXbByRH4toxWegZH44InRplRjPUSgUyY8MEb20FqhosMNsciAnXih0f7Q4nquqtUCqBFH2o6MNtaLLBYncgUqdGRIgGCgXgdAI1jRYooEBipE7sNmmy8Jn2MK0KoRoVFAoFOI5Dg8UOBRSIClVDoVAgKkRNXYYJgiDOQ7wKxNetW+fveXjNwIED8fvvv4t/twygAWD+/Pl4/PHHxb/DwsLE/3c4HJgxYwaSk5OxZcsWlJaW4sYbb4RGo8GyZcsAAAUFBZgxYwZuv/12fPrpp1izZg1uvfVWpKSkYPr06QCAL7/8EosXL8by5csxevRovPLKK5g+fTry8/NFKc4999yDVatW4euvv4Zer8edd96Jq666Cps3b+6y94Ygzgc4jsMTK4/go7zTsAvp6B5xYbh2dCb+NCQFqdFhLuPbqmxpTwLSp411ckY780iLCW19YzuJ7bgIXTtHIQiCIM4nvArEJ0yY4NWT/frrr9Dr9QB4/eaaNWtw8OBBAEBdXZ1Xx1Sr1UhOTm73/rCwsHbv/+2333D48GH8/vvvSEpKwrBhw/DEE0/g/vvvx6OPPgqtVovly5cjOzsbL774IgBgwIAB2LRpE15++WUxEH/ppZcwf/583HzzzQCA5cuXY9WqVXj//fexZMkSGAwGvPfee/jss88wefJkAMAHH3yAAQMGYOvWrR5p7QmCaGZ3YS2eWHkYewrrAABatRIP/ykH11yYAQ1Z/BEEQRASx6tAfOPGjR3eP378+DZvP9e68O9//7vL395szR4/fhypqakICQlBbm4unn76aWRmZor3f/rpp/jkk0+QnJyMK664Ag899JCYFc/Ly8PgwYNd5CHTp0/HggULcOjQIQwfPhx5eXmYOnWqy3NOnz4dd999NwDAarVi165dWLp0qXi/UqnE1KlTkZeXBwDYtWsXbDaby3H69++PzMxM5OXltRuIWywWWCwW8W+j0ejx+0MQ3ZFtp6qxYstp/HywDADf5n1YRjRenT0MiVEhQZ4dQRAEQbiHV4H4xIkTW93WMohuSyPudDpb3eYro0ePxooVK9CvXz+Ulpbisccew8UXX4yDBw8iMjIS1157LbKyspCamor9+/fj/vvvR35+Pr799lsAQFlZWSuNNvu7rKyswzFGoxFNTU2ora2Fw+FocwzTqpeVlUGr1SI6OrrVGPY8bfH000+30sATxPnMkVIj7v16Hw6V8ItShQL424h0/HNaPyRRAE4QBEHIDK8C8draWpe/bTYb9uzZg4ceeghPPfWUXybmDpdddpn4/0OGDMHo0aORlZWFr776CvPmzcNtt90m3j948GCkpKRgypQpOHnyJHr16hWweXrL0qVLsXjxYvFvo9GIjIz2FKoE4T31ZhuOlTVAH8Zb+nEAygxmNNkciAvXIiKEv91ic6K4thEqpQKZcWGiPV+poQkmiwPxEVpEhWrAcYDV7kRBtQkqhQI9E8LBgbfzKzU0wdBkQ0KEDrHhWnAALDYHTlaaoADQLzlSHFtiaMLx8nqYLA7sOF2Do2X14pxjw7X48OYLMTg9OuDvF0EQBEH4A68Ccabzbskll1wCrVaLxYsXY9euXT5PzBuio6PRt29fnDhxos37R48eDQA4ceIEevXqheTkZGzfvt1lTHk5382O6cqTk5PF21qOiYqKQmhoKFQqFVQqVZtjWh7DarWirq7OJSveckxb6HQ66HRU1EX4H6eTw+aTVfjlYBl+O1SGygZr5w+SABqVApfkJOHSgcn487C0YE+HIAiCIHzCr/2Sk5KSkJ+f789DekRDQwNOnjyJG264oc379+7dCwBISUkBAOTm5uKpp55CRUWF6G6yevVqREVFIScnRxzz008/uRxn9erVyM3NBQBotVqMGDECa9aswcyZMwE0F6LeeeedAIARI0ZAo9FgzZo1mDVrFgAgPz8fhYWF4nEIIhDUNVpx3//tx8GzBpQYzC73KQDowzTi/zdY7LA7OITr1AjR8IWPdicnNsSJDdeKln7GJjssdgeiQjQI0/I2fTaHE9UNvP1fUlQIFApAAQVqG61osjqgD9MgUsfb9jmcHEoNTVBAgYxY3n1EoVCgxmRFo9WOgal6XHNhBqblJCE6TBuot4sgCIIguhSvAvH9+/e7/M1xHEpLS/HMM89g2LBh/piXW9x777244oorkJWVhZKSEjzyyCNQqVSYM2cOTp48ic8++wyXX3454uLisH//ftxzzz0YP348hgwZAgCYNm0acnJycMMNN+C5555DWVkZHnzwQSxcuFDMRN9+++14/fXXcd999+GWW27B2rVr8dVXX2HVqlXiPBYvXoy5c+di5MiRGDVqFF555RWYTCbRRUWv12PevHlYvHgxYmNjERUVhUWLFiE3N5ccU4iA4HBy+GZ3MR753yGxOU2ETo0/D0vFpH4JyIoLR++EcCiV5DRCEARBEIHCq0B82LBhYmOKlowZMwbvv/9+u49zOBzYvHkzhgwZ0qpw0RuKi4sxZ84cVFdXIyEhAePGjcPWrVuRkJAAs9mM33//XQyKMzIyMGvWLDz44IPi41UqFVauXIkFCxYgNzcX4eHhmDt3rovveHZ2NlatWoV77rkHr776KtLT0/Huu++K1oUAcM0116CyshIPP/wwysrKMGzYMPzyyy8uBZwvv/wylEolZs2a5dLQhyC6EqfTiXX5lXj2l6M4Vt4AAFApFPjzsFQ8OXMQwnV+3RQjCIIgCMIDFJwXvebPnDnj8vf/t3fvYVGV+x7Av2uAGe6DyM0LV+94l6OIKVpyQLeapR5LLUvbaKaWGh11l7dq5+6mthMf2+7QnaWoqV008bhFTQs1FVJSUJCkhAFUGOQ6MPOeP4gpNggzgLMAv5/nmeeRtd5ZfH8slR8va71LoVDA3d0dtrYNr1pga2uLK1euwN/f39xP+8ArLCyEWq2GVquFs7Oz3HGohYtL1mDZvovGR7mr7Www/+EumDHEBw6/PT2SiIiImpc5/ZpZv4eOj49HYGAg2rVrB19fX+PL29sb5eXl6N27N06ePFnvMfr06YPr16+b82mJyAyZt0uwbO9FzPv0vLEJnz3cD9++8jDmhHZhE05ERNRCmPV76Q0bNiAyMrLO7l6tVmPu3LlYt24dRowYcc9jvPnmm4iKisIbb7yBoKAgODg41NjPmV4i8+kqDfj09A3Ep+Ti+/Rb+O1J7whwd8Bbj/XF0C7t5Q1IREREtZh1aYqvry/i4uLQq1evOvenpKQgPDwcmZmZ9zzGH28G++NDgIQQVasn1PEwIKrCS1Pk8fOtYvz4awHyi3VI/KUARWWV6OHlBBf7qvWyC0oqcEVTCHulNfp2UkNAQAjgpywt7pZVopuHY9V62QLQllbgp6xC2CkV6Pfb+tdCVD2opqC0Al3cHeDuqIIAcLesEpduFkBlXfXUSKBqfe9UTSHuFOvg5+YADydb/HyrGN+n30ZReaUx88ju7nhxdFcE+bpa/OtFRET0IDOnXzNrRjwnJwc2Nvf+tba1tTXy8vLqPcaxY8fM+ZREsijTVWLFVz/heGoe8u6W19p/NCW3zvd9cym71raT127VOTY+pfa/lbMZd+oc+3367Vrbkn7R1vhYAuDnZo93pvTHYD824ERERC2dWY14p06dkJycjK5du9a5/+LFi8Y1uu9l5MiR5nxKIos7m3EHL8YmQvPbOts2VhL6dlKjg9oOablFKNFVorunE9R2NoAEFJZW4FpOEexVVujTsephV5IEXNHcRdFvM+LtHavWvr5bVokUzV3Y2ijQv7OLcR3uVM1daEsr0NXDEe6OVUtnFuv0+ClLC5WVFQb6ukBC1eBruXeRX6yDv7sDvJxt4eFki36d1ejbWQ17JVdBISIiai3M+q79pz/9CStWrMCYMWNqrZBSWlqKVatWYfz48Q0e5+TJk/joo49w/fp17NmzB506dcL27dvh7++P4cOHm1cBUTOp1Bvw3v9dxUffpkMIwFohIbS7G9ZO6gdP54ZXBCIiIiIyh1mN+GuvvYZ9+/ahe/fuWLBgAXr06AGg6trw6Oho6PV6vPrqq/UeY+/evXj66acxY8YMXLhwAeXlVb/212q1eOutt2o9xZLIEn7JL8FT/zyDG7dLAAD/E9QZr43rBTWf4khERET3idnriN+4cQPz5s3D4cOHjQ/0kSQJERERiI6ObnB98IEDB2Lx4sWYOXMmnJyc8OOPPyIgIACJiYkYO3YsNBpN46tp43iz5v2RnleEsRtOQqc3wFoh4YMnB2Jcv/ovsSIiIiKqy327WROoWjnlm2++QX5+PtLS0iCEQLdu3dCuXTuT3p+amorQ0NBa29VqNQoKCsyNQ9Qkp6/fxvOfnodOb4BCAt6f2p9NOBEREVlEo+/sateuHQYPHmz2+7y8vJCWlgY/P78a20+dOoWAgIDGxiEy2/aEG3j9wE+o0Av066zGB08MgL+7o9yxiIiI6AFh8SUWIiMj8dJLLyEmJgaSJCErKwsJCQmIiorCihUrLB2HHkAlukpM2vQ9UjR3AQDj+nXAe1P6w05pJXMyIiIiepBYvBFftmwZDAYDRo8ejZKSEoSGhkKlUiEqKgoLFy60dBx6wGi0ZXjhs/PGJnx8vw74+5MDoVBIDbyTiIiIqHmZfbNmc9HpdEhLS0NRURECAwPh6MhLAhrCmzUbr6LSgC+SbuKNA5dRWFYJWxsFZg3zx9KxPeWORkRERG3Ifb1Zs6lmz56NDz74AE5OTggMDDRuLy4uxsKFCxETE2PpSNSG3SnW4YN/X8XOs79ApzcAAPp1VmPd1AHo6sEf/oiIiEg+Fp8Rt7KyQnZ2Njw8PGpsv3XrFry8vFBZWWnJOK1KS5sR1xsE/n0lB99cysblrEKk5xUBANwcVVD89sjIovJKlOgqYWdjBQfV7z/33SqqWj++nb0S0m9jSysqUaLTQ2WtgMMfnhCZX6KDEICznQ2qryAprzSgVKeHjZUC9iorVP8tvltWAYMAHFXWkKSqJ1lWs1JIiArvgcgR/rC2Uty3rwsRERE9uFrkjHhhYSGEEBBC4O7duzWezKnX6/HNN9/Uas6p5Yo5lYGPT13HzYKyWvty75bX2las06NYp6+1/Xaxrta2sgoDyipqb9eWVtTaptMboCsx1NpeVP57A+7v5oDO7ezw1uN94e1qX7sYIiIiIhlYrBF3cXGBJEmQJAndu3evtV+SJKxZs8ZScaiR9AaBl2ITceBiNgBAbWeDqf/VGQ91cUN+SVWj7O9mb5xxzi/WIb9EB2c7G7g7qSChako741YRAAnernawsVJAkoCCkgrkl+jgqLKGh5MtfpsoR+btYggAHV3soPxtbGFpBfJLKmCvsoK7Y9UPdZIE3MwvhUEIeDrbQmWtgJuTCs62Nhb9GhERERGZwmKN+LFjxyCEwCOPPIK9e/fC1dXVuE+pVMLX1xcdO3a0VBxqBINB4JXPfzQ24X7t7RE7Zyi81HZmHyuwo+mX1nT3dDJ5bBeuA05ERESthMUa8ZEjRwIAMjIy4OPjY7wumFoHg0HgL/svYd+Fm7BSSFjzaG88NdRX7lhERERErZbF71jz9fXFqVOn8NRTT2HYsGG4efMmAGD79u04deqUpeOQCQwGA8Z/eBKxP/wChQRseGIAm3AiIiKiJrJ4I753715ERETAzs4OFy5cQHl51Y19Wq0Wb731lqXjUAOEEJi17RwuZ1c9AOfVP/XChP68hIiIiIioqSzeiL/55pvYvHkztmzZAhub32+ie+ihh3DhwgVLx6F6CCHw3v+l4sTVPADA4wM74bkRATKnIiIiImobLP5An9TUVISGhtbarlarUVBQYOk4VI8P49MQfSwdALB6QiCefchf5kREREREbYfFZ8S9vLyQlpZWa/upU6cQEMDZ1pZi1tazWHfkKoCqy1HYhBMRERE1L4s34pGRkXjppZdw5swZSJKErKwsfPbZZ4iKisK8efMsHYfq8PrXP+FYatXlKE8O9kZkKH9AIiIiImpuFr80ZdmyZTAYDBg9ejRKSkoQGhoKlUqFqKgoLFy40NJx6A+EENgYn4aY734GAAzxa4e/Te4nbygiIiKiNsriM+KSJOHVV1/FnTt3kJycjNOnTyMvLw9vvPGG2cdavXq18Wmd1a+ePXsa95eVlWH+/Plo3749HB0dMXnyZOTk5NQ4RmZmJsaNGwd7e3t4eHjglVdeQWVlZY0xx48fx6BBg6BSqdC1a1ds27atVpbo6Gj4+fnB1tYWwcHBOHv2bI39pmSRk7ZEh8W7f8T7v12O8vJ/d8fu54fJnIqIiIio7bJ4I15NqVQiMDAQQ4YMgaNj45+G2Lt3b2RnZxtff1yLfPHixfj666+xZ88enDhxAllZWZg0aZJxv16vx7hx46DT6fD999/jX//6F7Zt24aVK1cax2RkZGDcuHF4+OGHkZSUhEWLFuHPf/4zDh8+bByza9cuLFmyBKtWrcKFCxfQv39/REREIDc31+Qscvr6xywErz2KLxJvQiEBK8cHYuHobnLHIiIiImrTJCGEsMQnmj17tknjYmJiTD7m6tWr8cUXXyApKanWPq1WC3d3d+zYsQNTpkwBAKSkpKBXr15ISEjA0KFDcejQIYwfPx5ZWVnw9PQEAGzevBlLly5FXl4elEolli5dioMHDyI5Odl47CeffBIFBQWIi4sDAAQHB2Pw4MHYuHEjgKoH4Hh7e2PhwoVYtmyZSVlMUVhYCLVajf/dkYABAR1hp7SCgEDe3XJk3CqG2s4GXT2cIISAAHDpVy3KKvTo4eUER5U1BIBbReVIyy2Cs60NOrezw7fX8vBd2m0AgATg3f/phylB3iafAyIiIiL6XXW/ptVq4ezsXO9Yi10jvm3bNvj6+mLgwIFozt7/2rVr6NixI2xtbRESEoK1a9fCx8cH58+fR0VFBcLCwoxje/bsCR8fH2Pzm5CQgL59+xqbcACIiIjAvHnz8NNPP2HgwIFISEiocYzqMYsWLQIA6HQ6nD9/HsuXLzfuVygUCAsLQ0JCAgCYlKUu5eXlxgceAVUnFgB2nv0Fu3683civWG0KCfgvX1esnhiIwA7qZjsuEREREd2bxRrxefPmYefOncjIyMCsWbPw1FNPwdXVtUnHDA4OxrZt29CjRw9kZ2djzZo1GDFiBJKTk6HRaKBUKuHi4lLjPZ6entBoNAAAjUZTowmv3l+9r74xhYWFKC0tRX5+PvR6fZ1jUlJSjMdoKEtd1q5dizVr1tTa7mxrhe7eLrBXWkOSgPwSHX7NL4WzrQ383RwgSVWz26mauyivNKCbpyMcVdYAJGhLdfj5dgmcVNbo1dEZfTupMa5vB3i72t8zBxERERE1P4s14tHR0Vi3bh327duHmJgYLF++HOPGjcNzzz2H8PBwSJJk9jHHjh1r/HO/fv0QHBwMX19f7N69G3Z2ds0ZXxbLly/HkiVLjB8XFhbC29sb3y8Pa/BXHURERETUsln0Zk2VSoVp06bhyJEjuHz5Mnr37o0XXngBfn5+KCoqavLxXVxc0L17d6SlpcHLyws6na7W0zpzcnLg5eUFoOrhQv+5ckn1xw2NcXZ2hp2dHdzc3GBlZVXnmD8eo6EsdVGpVHB2dq7xIiIiIqK2QbZVUxQKBSRJghACer2+WY5ZVFSE9PR0dOjQAUFBQbCxscHRo0eN+1NTU5GZmYmQkBAAQEhICC5dulRjdZMjR47A2dkZgYGBxjF/PEb1mOpjKJVKBAUF1RhjMBhw9OhR4xhTshARERHRA0ZYUFlZmdixY4cICwsTtra2YsqUKeLgwYNCr9c36ngvv/yyOH78uMjIyBDfffedCAsLE25ubiI3N1cIIcTzzz8vfHx8RHx8vDh37pwICQkRISEhxvdXVlaKPn36iPDwcJGUlCTi4uKEu7u7WL58uXHM9evXhb29vXjllVfElStXRHR0tLCyshJxcXHGMbGxsUKlUolt27aJy5cvizlz5ggXFxeh0WiMYxrKYgqtVisACK1W26ivFxERERHdX+b0axa7RvyFF15AbGwsvL29MXv2bOzcuRNubm5NOuavv/6KadOm4fbt23B3d8fw4cNx+vRpuLu7AwDWr18PhUKByZMno7y8HBEREdi0aZPx/VZWVjhw4ADmzZuHkJAQODg44JlnnsHrr79uHOPv74+DBw9i8eLF+OCDD9C5c2f885//REREhHHME088gby8PKxcuRIajQYDBgxAXFxcjRs4G8piCvHbajPVq6cQERERUctS3acJE1YJtNg64gqFAj4+Phg4cGC9N2bu27fPEnFapevXr6NLly5yxyAiIiKiBqSnpyMgIKDeMRabEZ85c2ajVkah31Uv95iZmQm1uu2u9z148GD88MMPcse4b1hf69fWa2zr9QFtv0bW1/q19Rrbcn1arRY+Pj4mLdNt0Qf6UNMoFFX31qrV6ja9goqVlRXra8Xaen1A26+xrdcHtP0aWV/r19ZrbOv1Ab/3bfWOsUAOIrPMnz9f7gj3Fetr/dp6jW29PqDt18j6Wr+2XmNbr89UFrtGnJqusLAQarUaWq22zf8USURERNQamdOvcUa8FVGpVFi1ahVUKpXcUYiIiIioDub0a5wRJyIiIiKSAWfEiYiIiIhkwEaciIiIiEgGbMRJNtHR0fDz84OtrS2Cg4Nx9uxZAMCdO3ewcOFC9OjRA3Z2dvDx8cGLL74IrVYrc2Lz3Ks+AJg7dy66dOkCOzs7uLu7Y+LEiUhJSZExrfnqq6+aEAJjx46FJEn44osvLB+yieqrcdSoUZAkqcbr+eeflzGt+Ro6hwkJCXjkkUfg4OAAZ2dnhIaGorS0VKa0jXOvGn/++eda56/6tWfPHplTm66+c6jRaPD000/Dy8sLDg4OGDRoEPbu3Stj2sapr8b09HQ8/vjjcHd3h7OzM6ZOnYqcnBwZ05rn22+/xYQJE9CxY8c6/58UQmDlypXo0KED7OzsEBYWhmvXrskTthEaqm/fvn0IDw9H+/btIUkSkpKSZMkpJzbiJItdu3ZhyZIlWLVqFS5cuID+/fsjIiICubm5yMrKQlZWFt577z0kJydj27ZtiIuLw3PPPSd3bJPVVx8ABAUFYevWrbhy5QoOHz4MIQTCw8Oh1+tlTm6ahuqrtmHDhlb7IC9TaoyMjER2drbx9c4778iY2DwN1ZeQkIAxY8YgPDwcZ8+exQ8//IAFCxaYtC5uS1Ffjd7e3jXOXXZ2NtasWQNHR0eMHTtW7ugmaegczpw5E6mpqfjqq69w6dIlTJo0CVOnTkViYqLMyU1XX43FxcUIDw+HJEmIj4/Hd999B51OhwkTJsBgMMgd3STFxcXo378/oqOj69z/zjvv4O9//zs2b96MM2fOwMHBARERESgrK7Nw0sZpqL7i4mIMHz4cb7/9toWTtSCCWqSNGzcKX19foVKpxJAhQ8SZM2eM+z766CMxcuRI4eTkJACI/Px8+YI20pAhQ8T8+fONH+v1etGxY0exdu3aOsfv3r1bKJVKUVFRYamITWJufT/++KMAINLS0iwVsUlMqS8xMVF06tRJZGdnCwBi//79MiRtvIZqHDlypHjppZdkStd0DdUXHBwsXnvtNbniNQtz/x0OGDBAzJ4921Lxmqyh+hwcHMQnn3xS4z2urq5iy5YtFs3ZFPXVePjwYaFQKIRWqzXuLygoEJIkiSNHjsgRt0n+8/9Jg8EgvLy8xLvvvmvcVlBQIFQqldi5c6cMCZumvu8DGRkZAoBITEy0aKaWoPVMbTxAGprlKCkpwZgxY/CXv/xF5qSNo9PpcP78eYSFhRm3KRQKhIWFISEhoc73VK/FaW1tsYfBNpq59RUXF2Pr1q3w9/eHt7e3JaM2iin1lZSUYPr06YiOjoaXl5dcURvN1HP42Wefwc3NDX369MHy5ctRUlIiR1yzNVRfbm4uzpw5Aw8PDwwbNgyenp4YOXIkTp06JWNq85j77/D8+fNISkpqNb95M6W+YcOGYdeuXbhz5w4MBgNiY2NRVlaGUaNGyZTaPA3VWF5eDkmSaiwRZ2trC4VC0ar+rt5LRkYGNBpNjfrVajWCg4Pv+b2SWh824i3QunXrEBkZiVmzZiEwMBCbN2+Gvb09YmJiAACLFi3CsmXLMHToUJmTNs6tW7eg1+vh6elZY7unpyc0Gk2d49944w3MmTPHUhGbxNT6Nm3aBEdHRzg6OuLQoUM4cuQIlEqlpeOazZT6Fi9ejGHDhmHixIlyRGwyU2qcPn06Pv30Uxw7dgzLly/H9u3b8dRTT8kR12wN1Xf9+nUAwOrVqxEZGYm4uDgMGjQIo0ePbjXXp5r7/8zHH3+MXr16YdiwYZaK2CSm1Ld7925UVFSgffv2UKlUmDt3Lvbv34+uXbvKEdlsDdU4dOhQODg4YOnSpSgpKUFxcTGioqKg1+uRnZ0tU+rmU30eTf07TK0TG/EWpjGzxW1ZYWEhxo0bh8DAQKxevVruOM1qxowZSExMxIkTJ9C9e3dMnTq11Vz3V5+vvvoK8fHx2LBhg9xR7qs5c+YgIiICffv2xYwZM/DJJ59g//79SE9Plztak1VfXzt37lzMmjULAwcOxPr169GjRw/jhEBbUlpaih07drSa2XBTrVixAgUFBfj3v/+Nc+fOYcmSJZg6dSouXbokd7Rm4e7ujj179uDrr7+Go6Mj1Go1CgoKMGjQoFZ1LwM92Fr+7/kfMPXNALS2VTXuxc3NDVZWVrXubM/JyalxGcPdu3cxZswYODk5Yf/+/bCxsbF01EYxtT61Wg21Wo1u3bph6NChaNeuHfbv349p06ZZOrJZGqovPj4e6enpcHFxqbF/8uTJGDFiBI4fP265sI1k6jn8o+DgYABAWloaunTpct8zNkVD9XXo0AEAEBgYWGN/r169kJmZabGcTWHOOfz8889RUlKCmTNnWjJikzRUX3p6OjZu3Ijk5GT07t0bANC/f3+cPHkS0dHR2Lx5sxyxzWLKOQwPD0d6ejpu3boFa2truLi4wMvLCwEBAXJEblbVNebk5Bj/TVZ/PGDAAJlSUXPjj4xkcUqlEkFBQTh69Khxm8FgwNGjRxESEgKgaiY8PDwcSqUSX331FWxtbeWKazZT6vtPQggIIVBeXm6pmI3WUH3Lli3DxYsXkZSUZHwBwPr167F161aZUpunMeewus4/fsNsqRqqz8/PDx07dkRqamqN9129ehW+vr6Wjtso5pzDjz/+GI8++ijc3d0tHbPRGqqv+n6F/5wZtrKyajUriphzDt3c3ODi4oL4+Hjk5ubi0UcftXTcZufv7w8vL68a9RcWFuLMmTP3/H+IWiG57xalmsrLy4WVlVWtO4tnzpwpHn300Rrbjh071mpXTYmNjRUqlUps27ZNXL58WcyZM0e4uLgIjUYjtFqtCA4OFn379hVpaWkiOzvb+KqsrJQ7uknqqy89PV289dZb4ty5c+LGjRviu+++ExMmTBCurq4iJydH7ugmqa++uqAVrppSX41paWni9ddfF+fOnRMZGRniyy+/FAEBASI0NFTu2CZr6ByuX79eODs7iz179ohr166J1157Tdja2raalX2EMO3v6bVr14QkSeLQoUMyJm2c+urT6XSia9euYsSIEeLMmTMiLS1NvPfee0KSJHHw4EG5o5usoXMYExMjEhISRFpamti+fbtwdXUVS5YskTm16e7evSsSExNFYmKiACDWrVsnEhMTxY0bN4QQQvztb38TLi4u4ssvvxQXL14UEydOFP7+/qK0tFTm5KZpqL7bt2+LxMREcfDgQQFAxMbGisTERJGdnS1zcsthI94CDRkyRCxYsMD4sV6vF506daq15FZrbsSFEOLDDz8UPj4+QqlUiiFDhojTp08LIX6vq65XRkaGvKHNcK/6bt68KcaOHSs8PDyEjY2N6Ny5s5g+fbpISUmRObF57lVfXVpjIy7EvWvMzMwUoaGhwtXVVahUKtG1a1fxyiuv1FhGrTVo6ByuXbtWdO7cWdjb24uQkBBx8uRJmZI2XkM1Ll++XHh7ewu9Xi9Twqapr76rV6+KSZMmCQ8PD2Fvby/69etXaznD1qC+GpcuXSo8PT2FjY2N6Natm3j//feFwWCQMa157vX97plnnhFCVC1huGLFCuHp6SlUKpUYPXq0SE1NlTe0GRqqb+vWrXXuX7Vqlay5LUkSQgjLzL2TqXbt2oVnnnkGH330EYYMGYINGzZg9+7dSElJMd4trdFocO7cOURGRuLbb7+Fk5MTfHx84OrqKnd8IiIiIjIBb9ZsgZ544gnk5eVh5cqV0Gg0GDBgAOLi4ow3cG7evBlr1qwxjg8NDQUAbN26Fc8++6wckYmIiIjITJwRJyIiIiKSAVdNISIiIiKSARtxIiIiIiIZsBEnIiIiIpIBG3EiIiIiIhmwESciIiIikgEb8Rbk2WefxWOPPSZ3DCIiIiKyADbiREREREQyYCPeQsXFxWH48OFwcXFB+/btMX78eKSnpxv3//zzz5AkCfv27cPDDz8Me3t79O/fHwkJCTKmJiIiIiJTsRFvoYqLi7FkyRKcO3cOR48ehUKhwOOPPw6DwVBj3KuvvoqoqCgkJSWhe/fumDZtGiorK2VKTURERESm4iPuW6jJkyfX+DgmJgbu7u64fPky+vTpY9weFRWFcePGAQDWrFmD3r17Iy0tDT179rRoXiIiIiIyD2fEW6hr165h2rRpCAgIgLOzM/z8/AAAmZmZNcb169fP+OcOHToAAHJzcy2Wk4iIiIgahzPiLdSECRPg6+uLLVu2oGPHjjAYDOjTpw90Ol2NcTY2NsY/S5IEALUuXyEiIiKiloeNeAt0+/ZtpKamYsuWLRgxYgQA4NSpUzKnIiIiIqLmxEa8BWrXrh3at2+Pf/zjH+jQoQMyMzOxbNkyuWMRERERUTPiNeItiMFggLW1NRQKBWJjY3H+/Hn06dMHixcvxrvvvit3PCIiIiJqRpIQQsgdgqqMGTMGXbt2xcaNG+WOQkRERET3GWfEW4D8/HwcOHAAx48fR1hYmNxxiIiIiMgCeI14CzB79mz88MMPePnllzFx4kS54xARERGRBfDSFCIiIiIiGfDSFCIiIiIiGbARJyIiIiKSARtxC1q7di0GDx4MJycneHh44LHHHkNqamqNMWVlZZg/fz7at28PR0dHTJ48GTk5OTXGvPjiiwgKCoJKpcKAAQPq/Fy7d+/GgAEDYG9vD19fXy5/SERERNTCsBG3oBMnTmD+/Pk4ffo0jhw5goqKCoSHh6O4uNg4ZvHixfj666+xZ88enDhxAllZWZg0aVKtY82ePRtPPPFEnZ/n0KFDmDFjBp5//nkkJydj06ZNWL9+PZdFJCIiImpBeLOmjPLy8uDh4YETJ04gNDQUWq0W7u7u2LFjB6ZMmQIASElJQa9evZCQkIChQ4fWeP/q1avxxRdfICkpqcb26dOno6KiAnv27DFu+/DDD/HOO+8gMzMTkiTd99qIiIiIqH6cEZeRVqsFALi6ugIAzp8/j4qKihpriffs2RM+Pj5ISEgw+bjl5eWwtbWtsc3Ozg6//vorbty40QzJiYiIiKip2IjLxGAwYNGiRXjooYfQp08fAIBGo4FSqYSLi0uNsZ6entBoNCYfOyIiAvv27cPRo0dhMBhw9epVvP/++wCA7OzsZquBiIiIiBqPjbhM5s+fj+TkZMTGxjb7sSMjI7FgwQKMHz8eSqUSQ4cOxZNPPgkAUCh4yomIiIhaAnZlMliwYAEOHDiAY8eOoXPnzsbtXl5e0Ol0KCgoqDE+JycHXl5eJh9fkiS8/fbbKCoqwo0bN6DRaDBkyBAAQEBAQLPUQERERERNw0bcgoQQWLBgAfbv34/4+Hj4+/vX2B8UFAQbGxscPXrUuC01NRWZmZkICQkx+/NZWVmhU6dOUCqV2LlzJ0JCQuDu7t7kOoiIiIio6azlDvAgmT9/Pnbs2IEvv/wSTk5Oxuu+1Wo17OzsoFar8dxzz2HJkiVwdXWFs7MzFi5ciJCQkBorpqSlpaGoqAgajQalpaXGVVMCAwOhVCpx69YtfP755xg1ahTKysqwdetW43KIRERERNQycPlCC7rXsoFbt27Fs88+C6DqgT4vv/wydu7cifLyckRERGDTpk01Lk0ZNWpUnU11RkYG/Pz8cOvWLUyYMAGXLl2CEAIhISH461//iuDg4PtSFxERERGZj404EREREZEMeI04EREREZEM2IgTEREREcmAjTgRERERkQzYiBMRERERyYCNOBERERGRDNiIExERERHJgI04EREREZEM2IgTEREREcmAjTgRERERkQzYiBMRERERyYCNOBERERGRDNiIExERERHJ4P8BDVHqx/AhO+wAAAAASUVORK5CYII=\n", + "image/png": "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", "text/plain": [ "
" ] @@ -194,7 +194,7 @@ "name": "stderr", "output_type": "stream", "text": [ - "/Users/mdecegli/opt/anaconda3/envs/tempY/lib/python3.10/site-packages/rdtools/availability.py:17: UserWarning: The availability module is currently experimental. The API, results, and default behaviors may change in future releases (including MINOR and PATCH releases) as the code matures.\n", + "c:\\Users\\mspringe\\.conda\\envs\\rdtools3-nb\\lib\\site-packages\\rdtools\\availability.py:17: UserWarning: The availability module is currently experimental. The API, results, and default behaviors may change in future releases (including MINOR and PATCH releases) as the code matures.\n", " warnings.warn(\n" ] } @@ -208,7 +208,7 @@ " power_expected=expected_power,\n", ")\n", "# identify and classify outages, rolling up to daily metrics for this short dataset:\n", - "aa.run(rollup_period='D') " + "aa.run(rollup_period='D')" ] }, { @@ -231,28 +231,27 @@ "name": "stderr", "output_type": "stream", "text": [ - "/Users/mdecegli/opt/anaconda3/envs/tempY/lib/python3.10/site-packages/rdtools/plotting.py:385: UserWarning: The availability module is currently experimental. The API, results, and default behaviors may change in future releases (including MINOR and PATCH releases) as the code matures.\n", + "c:\\Users\\mspringe\\.conda\\envs\\rdtools3-nb\\lib\\site-packages\\rdtools\\plotting.py:392: UserWarning: The availability module is currently experimental. The API, results, and default behaviors may change in future releases (including MINOR and PATCH releases) as the code matures.\n", " warnings.warn(\n", "No artists with labels found to put in legend. Note that artists whose label start with an underscore are ignored when legend() is called with no argument.\n" ] }, { "data": { - "image/png": "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\n", + "image/png": "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", "text/plain": [ "
" ] }, - "execution_count": 12, "metadata": {}, - "output_type": "execute_result" + "output_type": "display_data" } ], "source": [ "fig = aa.plot()\n", "fig.set_size_inches(16, 7)\n", "fig.axes[1].legend(loc='upper left')\n", - "fig" + "fig;" ] }, { @@ -614,32 +613,38 @@ }, { "cell_type": "code", - "execution_count": 10, + "execution_count": 11, "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ - "/Users/mdecegli/opt/anaconda3/envs/tempY/lib/python3.10/site-packages/rdtools/plotting.py:385: UserWarning: The availability module is currently experimental. The API, results, and default behaviors may change in future releases (including MINOR and PATCH releases) as the code matures.\n", + "c:\\Users\\mspringe\\.conda\\envs\\rdtools3-nb\\lib\\site-packages\\rdtools\\plotting.py:392: UserWarning: The availability module is currently experimental. The API, results, and default behaviors may change in future releases (including MINOR and PATCH releases) as the code matures.\n", " warnings.warn(\n" ] }, { "data": { - "image/png": "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\n", + "image/png": "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", "text/plain": [ "
" ] }, - "execution_count": 10, "metadata": {}, - "output_type": "execute_result" + "output_type": "display_data" } ], "source": [ - "aa2.plot()" + "aa2.plot();" ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] } ], "metadata": { @@ -658,7 +663,7 @@ "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", - "version": "3.10.12" + "version": "3.10.14" } }, "nbformat": 4, diff --git a/rdtools/__init__.py b/rdtools/__init__.py index c6e0b5755..c097e2bea 100644 --- a/rdtools/__init__.py +++ b/rdtools/__init__.py @@ -1,4 +1,3 @@ -from rdtools.normalization import normalize_with_sapm from rdtools.normalization import normalize_with_pvwatts from rdtools.normalization import irradiance_rescale from rdtools.normalization import energy_from_power @@ -9,7 +8,9 @@ from rdtools.degradation import degradation_year_on_year from rdtools.aggregation import aggregation_insol from rdtools.clearsky_temperature import get_clearsky_tamb +from rdtools.filtering import clearsky_filter from rdtools.filtering import csi_filter +from rdtools.filtering import pvlib_clearsky_filter from rdtools.filtering import poa_filter from rdtools.filtering import tcell_filter from rdtools.filtering import clip_filter @@ -17,12 +18,19 @@ from rdtools.filtering import logic_clip_filter from rdtools.filtering import xgboost_clip_filter from rdtools.filtering import normalized_filter +from rdtools.filtering import two_way_window_filter +from rdtools.filtering import insolation_filter +from rdtools.filtering import hampel_filter +from rdtools.filtering import hour_angle_filter +from rdtools.filtering import directional_tukey_filter # from rdtools.soiling import soiling_srr +# from rdtools.soiling import soiling_cods # from rdtools.soiling import monthly_soiling_rates # from rdtools.soiling import annual_soiling_ratios from rdtools.analysis_chains import TrendAnalysis from rdtools.plotting import degradation_summary_plots from rdtools.plotting import tune_filter_plot +from rdtools.plotting import degradation_timeseries_plot # from rdtools.plotting import soiling_monte_carlo_plot # from rdtools.plotting import soiling_interval_plot # from rdtools.plotting import soiling_rate_histogram diff --git a/rdtools/aggregation.py b/rdtools/aggregation.py index 69e0b48a0..4116c9131 100644 --- a/rdtools/aggregation.py +++ b/rdtools/aggregation.py @@ -22,7 +22,7 @@ def aggregation_insol(energy_normalized, insolation, frequency='D'): aggregated : pandas.Series Insolation weighted average, aggregated at frequency ''' - aggregated = (insolation * energy_normalized).resample(frequency).sum() / \ - insolation.resample(frequency).sum() + aggregated = (insolation * energy_normalized).resample(frequency, origin='start_day').sum() / \ + insolation.resample(frequency, origin='start_day').sum() return aggregated diff --git a/rdtools/analysis_chains.py b/rdtools/analysis_chains.py index 54590d01c..ce08c1376 100644 --- a/rdtools/analysis_chains.py +++ b/rdtools/analysis_chains.py @@ -1,7 +1,8 @@ -''' +""" This module contains functions and classes for object-oriented end-to-end analysis -''' +""" + import pvlib import pandas as pd import numpy as np @@ -11,8 +12,8 @@ import warnings -class TrendAnalysis(): - ''' +class TrendAnalysis: + """ Class for end-to-end degradation and soiling analysis using :py:meth:`~rdtools.TrendAnalysis.sensor_analysis` or :py:meth:`~rdtools.TrendAnalysis.clearsky_analysis` @@ -75,39 +76,62 @@ class TrendAnalysis(): filter_params defaults to empty dicts for each function in rdtools.filtering, in which case those functions use default parameter values, `ad_hoc_filter` defaults to None. See examples for more information. + filter_params_aggregated: dict + parameters to be passed to rdtools.filtering functions that specifically handle + aggregated data (dily filters, etc). Keys are the names of the rdtools.filtering functions. + Values are dicts of parameters to be passed to those functions. To invoke `clearsky_filter` + for a sensor analysis, use the special key `sensor_clearsky_filter`. Also has a special key + `ad_hoc_filter`; this filter is a boolean mask joined with the rest of the filters. + filter_params_aggregated defaults to empty dicts for each function in rdtools.filtering, + in which case those functions use default parameter values, `ad_hoc_filter` + defaults to None. See examples for more information. results : dict Nested dict used to store the results of methods ending with `_analysis` - ''' - - def __init__(self, pv, poa_global=None, temperature_cell=None, temperature_ambient=None, - gamma_pdc=None, aggregation_freq='D', pv_input='power', - windspeed=0, power_expected=None, temperature_model=None, - power_dc_rated=None, interp_freq=None, max_timedelta=None): + """ + + def __init__( + self, + pv, + poa_global=None, + temperature_cell=None, + temperature_ambient=None, + gamma_pdc=None, + aggregation_freq="D", + pv_input="power", + windspeed=0, + power_expected=None, + temperature_model=None, + power_dc_rated=None, + interp_freq=None, + max_timedelta=None, + ): if interp_freq is not None: pv = normalization.interpolate(pv, interp_freq, max_timedelta) if poa_global is not None: - poa_global = normalization.interpolate( - poa_global, pv.index, max_timedelta) + poa_global = normalization.interpolate(poa_global, pv.index, max_timedelta) if temperature_cell is not None: temperature_cell = normalization.interpolate( - temperature_cell, pv.index, max_timedelta) + temperature_cell, pv.index, max_timedelta + ) if temperature_ambient is not None: temperature_ambient = normalization.interpolate( - temperature_ambient, pv.index, max_timedelta) + temperature_ambient, pv.index, max_timedelta + ) if power_expected is not None: power_expected = normalization.interpolate( - power_expected, pv.index, max_timedelta) + power_expected, pv.index, max_timedelta + ) if isinstance(windspeed, pd.Series): - windspeed = normalization.interpolate( - windspeed, pv.index, max_timedelta) + windspeed = normalization.interpolate(windspeed, pv.index, max_timedelta) - if pv_input == 'power': + if pv_input == "power": self.pv_power = pv self.pv_energy = normalization.energy_from_power( - pv, max_timedelta=max_timedelta) - elif pv_input == 'energy': + pv, max_timedelta=max_timedelta + ) + elif pv_input == "energy": self.pv_power = None self.pv_energy = pv @@ -126,22 +150,30 @@ def __init__(self, pv, poa_global=None, temperature_cell=None, temperature_ambie # Initialize to use default filter parameters self.filter_params = { - 'normalized_filter': {}, - 'poa_filter': {}, - 'tcell_filter': {}, - 'clip_filter': {}, - 'csi_filter': {}, - 'ad_hoc_filter': None # use this to include an explict filter + "normalized_filter": {}, + "poa_filter": {}, + "tcell_filter": {}, + "clip_filter": {}, + "clearsky_filter": {}, + "ad_hoc_filter": None, # use this to include an explict filter } + self.filter_params_aggregated = {"ad_hoc_filter": None} # remove tcell_filter from list if power_expected is passed in if power_expected is not None and temperature_cell is None: - del self.filter_params['tcell_filter'] - - def set_clearsky(self, pvlib_location=None, pv_azimuth=None, pv_tilt=None, - poa_global_clearsky=None, temperature_cell_clearsky=None, - temperature_ambient_clearsky=None, albedo=0.25, - solar_position_method='nrel_numpy'): - ''' + del self.filter_params["tcell_filter"] + + def set_clearsky( + self, + pvlib_location=None, + pv_azimuth=None, + pv_tilt=None, + poa_global_clearsky=None, + temperature_cell_clearsky=None, + temperature_ambient_clearsky=None, + albedo=0.25, + solar_position_method="nrel_numpy", + ): + """ Initialize values for a clearsky analysis which requires configuration of location and orientation details. If optional parameters `poa_global_clearsky`, `temperature_ambient_clearsky` are not passed, they will be modeled @@ -172,24 +204,29 @@ def set_clearsky(self, pvlib_location=None, pv_azimuth=None, pv_tilt=None, solar_position_method : str, default 'nrel_numpy' Optional method name to pass to :py:func:`pvlib.solarposition.get_solarposition`. Switching methods may improve calculation time. - ''' + """ max_timedelta = self.max_timedelta if poa_global_clearsky is not None: poa_global_clearsky = normalization.interpolate( - poa_global_clearsky, self.pv_energy.index, max_timedelta) + poa_global_clearsky, self.pv_energy.index, max_timedelta + ) if temperature_cell_clearsky is not None: temperature_cell_clearsky = normalization.interpolate( - temperature_cell_clearsky, self.pv_energy.index, max_timedelta) + temperature_cell_clearsky, self.pv_energy.index, max_timedelta + ) if temperature_ambient_clearsky is not None: temperature_ambient_clearsky = normalization.interpolate( - temperature_ambient_clearsky, self.pv_energy.index, max_timedelta) + temperature_ambient_clearsky, self.pv_energy.index, max_timedelta + ) if isinstance(pv_azimuth, (pd.Series, pd.DataFrame)): pv_azimuth = normalization.interpolate( - pv_azimuth, self.pv_energy.index, max_timedelta) + pv_azimuth, self.pv_energy.index, max_timedelta + ) if isinstance(pv_tilt, (pd.Series, pd.DataFrame)): pv_tilt = normalization.interpolate( - pv_tilt, self.pv_energy.index, max_timedelta) + pv_tilt, self.pv_energy.index, max_timedelta + ) self.pvlib_location = pvlib_location self.pv_azimuth = pv_azimuth @@ -201,7 +238,7 @@ def set_clearsky(self, pvlib_location=None, pv_azimuth=None, pv_tilt=None, self.solar_position_method = solar_position_method def _calc_clearsky_poa(self, times=None, rescale=True, **kwargs): - ''' + """ Calculate clearsky plane-of-array irradiance and stores in self.poa_global_clearsky Parameters @@ -218,42 +255,46 @@ def _calc_clearsky_poa(self, times=None, rescale=True, **kwargs): Returns ------- None - ''' + """ aggregate = False if times is None: - times = pd.date_range(self.poa_global.index.min(), self.poa_global.index.max(), - freq='1min') + times = pd.date_range( + self.poa_global.index.min(), self.poa_global.index.max(), freq="1min" + ) aggregate = True - if self.pvlib_location is None: - raise ValueError( - 'pvlib location must be provided using set_clearsky()') - if self.pv_tilt is None or self.pv_azimuth is None: + if not hasattr(self, "pvlib_location"): + raise ValueError("pvlib location must be provided using set_clearsky()") + if not hasattr(self, "pv_tilt") or not hasattr(self, "pv_azimuth"): raise ValueError( - 'pv_tilt and pv_azimuth must be provided using set_clearsky()') + "pv_tilt and pv_azimuth must be provided using set_clearsky()" + ) loc = self.pvlib_location solar_position_kwargs = {} if self.solar_position_method: - solar_position_kwargs['method'] = self.solar_position_method + solar_position_kwargs["method"] = self.solar_position_method sun = loc.get_solarposition(times, **solar_position_kwargs) clearsky = loc.get_clearsky(times, solar_position=sun) clearsky_poa = pvlib.irradiance.get_total_irradiance( self.pv_tilt, self.pv_azimuth, - sun['apparent_zenith'], - sun['azimuth'], - clearsky['dni'], - clearsky['ghi'], - clearsky['dhi'], + sun["apparent_zenith"], + sun["azimuth"], + clearsky["dni"], + clearsky["ghi"], + clearsky["dhi"], albedo=self.albedo, - **kwargs) - clearsky_poa = clearsky_poa['poa_global'] + **kwargs, + ) + clearsky_poa = clearsky_poa["poa_global"] if aggregate: - interval_id = pd.Series(range(len(self.poa_global)), index=self.poa_global.index) - interval_id = interval_id.reindex(times, method='backfill') + interval_id = pd.Series( + range(len(self.poa_global)), index=self.poa_global.index + ) + interval_id = interval_id.reindex(times, method="backfill") clearsky_poa = clearsky_poa.groupby(interval_id).mean() clearsky_poa.index = self.poa_global.index clearsky_poa.iloc[0] = np.nan @@ -261,15 +302,17 @@ def _calc_clearsky_poa(self, times=None, rescale=True, **kwargs): if rescale is True: if not clearsky_poa.index.equals(self.poa_global.index): raise ValueError( - 'rescale=True can only be used when clearsky poa is on same index as poa') + "rescale=True can only be used when clearsky poa is on same index as poa" + ) clearsky_poa = normalization.irradiance_rescale( - self.poa_global, clearsky_poa, method='iterative') + self.poa_global, clearsky_poa, method="iterative" + ) self.poa_global_clearsky = clearsky_poa def _calc_cell_temperature(self, poa_global, temperature_ambient, windspeed): - ''' + """ Return cell temperature calculated from ambient conditions. Parameters @@ -285,7 +328,7 @@ def _calc_cell_temperature(self, poa_global, temperature_ambient, windspeed): ------- numeric calculated cell temperature - ''' + """ try: # workflow for pvlib >= 0.7 @@ -294,44 +337,50 @@ def _calc_cell_temperature(self, poa_global, temperature_ambient, windspeed): # check if self.temperature_model is a string or dict with keys 'a', 'b' and 'deltaT' if isinstance(self.temperature_model, str): - model_params = pvlib.temperature.TEMPERATURE_MODEL_PARAMETERS[ - 'sapm'][self.temperature_model] - elif (isinstance(self.temperature_model, dict) & - ('a' in self.temperature_model) & - ('b' in self.temperature_model) & - ('deltaT' in self.temperature_model)): + model_params = pvlib.temperature.TEMPERATURE_MODEL_PARAMETERS["sapm"][ + self.temperature_model + ] + elif ( + isinstance(self.temperature_model, dict) + & ("a" in self.temperature_model) + & ("b" in self.temperature_model) + & ("deltaT" in self.temperature_model) + ): model_params = self.temperature_model else: - raise ValueError('pvlib temperature_model entry is neither ' - 'a string nor a dictionary with correct ' - 'entries. Try "open_rack_glass_polymer"') - cell_temp = pvlib.temperature.sapm_cell(poa_global=poa_global, - temp_air=temperature_ambient, - wind_speed=windspeed, - **model_params - ) + raise ValueError( + "pvlib temperature_model entry is neither " + "a string nor a dictionary with correct " + 'entries. Try "open_rack_glass_polymer"' + ) + cell_temp = pvlib.temperature.sapm_cell( + poa_global=poa_global, + temp_air=temperature_ambient, + wind_speed=windspeed, + **model_params, + ) except AttributeError as e: - print('Error: PVLib > 0.7 required') + print("Error: PVLib > 0.7 required") raise e return cell_temp def _calc_clearsky_tamb(self): - ''' + """ Calculate clear-sky ambient temperature and store in self.temperature_ambient_clearsky - ''' + """ times = self.poa_global_clearsky.index - if self.pvlib_location is None: - raise ValueError( - 'pvlib location must be provided using set_clearsky()') + if not hasattr(self, "pvlib_location"): + raise ValueError("pvlib_location must be provided using set_clearsky()") loc = self.pvlib_location cs_amb_temp = clearsky_temperature.get_clearsky_tamb( - times, loc.latitude, loc.longitude) + times, loc.latitude, loc.longitude + ) self.temperature_ambient_clearsky = cs_amb_temp def _pvwatts_norm(self, poa_global, temperature_cell): - ''' + """ Normalize PV energy to that expected from a PVWatts model. Parameters @@ -347,7 +396,7 @@ def _pvwatts_norm(self, poa_global, temperature_cell): Normalized pv energy pandas.Series Associated insolation - ''' + """ if self.power_dc_rated is None: renorm = True @@ -357,17 +406,22 @@ def _pvwatts_norm(self, poa_global, temperature_cell): power_dc_rated = self.power_dc_rated if self.gamma_pdc is None: - warnings.warn('Temperature coefficient not passed in to TrendAnalysis' - '. No temperature correction will be conducted.') - pvwatts_kws = {"poa_global": poa_global, - "power_dc_rated": power_dc_rated, - "temperature_cell": temperature_cell, - "poa_global_ref": 1000, - "temperature_cell_ref": 25, - "gamma_pdc": self.gamma_pdc} + warnings.warn( + "Temperature coefficient not passed in to TrendAnalysis" + ". No temperature correction will be conducted." + ) + pvwatts_kws = { + "poa_global": poa_global, + "power_dc_rated": power_dc_rated, + "temperature_cell": temperature_cell, + "poa_global_ref": 1000, + "temperature_cell_ref": 25, + "gamma_pdc": self.gamma_pdc, + } energy_normalized, insolation = normalization.normalize_with_pvwatts( - self.pv_energy, pvwatts_kws) + self.pv_energy, pvwatts_kws + ) if renorm: # Normalize to the 95th percentile for convenience, this is renormalized out @@ -378,12 +432,13 @@ def _pvwatts_norm(self, poa_global, temperature_cell): return energy_normalized, insolation def _filter(self, energy_normalized, case): - ''' + """ Calculate filters based on those in rdtools.filtering. Uses self.filter_params, which is a dict, the keys of which are names of functions in rdtools.filtering, and the values of which are dicts containing the associated parameters with which to run the filtering - functions. See examples for details on how to modify filter parameters. + functions. This private method is specifically for the original indexed + data. See examples for details on how to modify filter parameters. Parameters ---------- @@ -397,7 +452,23 @@ def _filter(self, energy_normalized, case): Returns ------- None - ''' + """ + + # Clearsky filtering subroutine, called either by clearsky analysis, + # or sensor analysis using sensor_clearsky_filter + def _call_clearsky_filter(filter_string): + if self.poa_global is None or self.poa_global_clearsky is None: + raise ValueError( + "Both poa_global and poa_global_clearsky must be available to " + f"do clearsky filtering with {filter_string}" + ) + f = filtering.clearsky_filter( + self.poa_global, + self.poa_global_clearsky, + **self.filter_params[filter_string], + ) + return f + # Combining filters is non-trivial because of the possibility of index # mismatch. Adding columns to an existing dataframe performs a left index # join, but probably we actually want an outer join. We can get an outer @@ -405,96 +476,219 @@ def _filter(self, energy_normalized, case): # at once. However, we add a default value of True, with the same index as # energy_normalized, so that the output is still correct even when all # filters have been disabled. - filter_components = {'default': pd.Series(True, index=energy_normalized.index)} + filter_components = {"default": pd.Series(True, index=energy_normalized.index)} - if case == 'sensor': + if case == "sensor": poa = self.poa_global cell_temp = self.temperature_cell - if case == 'clearsky': + if case == "clearsky": poa = self.poa_global_clearsky cell_temp = self.temperature_cell_clearsky - if 'normalized_filter' in self.filter_params: + if "normalized_filter" in self.filter_params: f = filtering.normalized_filter( - energy_normalized, **self.filter_params['normalized_filter']) - filter_components['normalized_filter'] = f - if 'poa_filter' in self.filter_params: + energy_normalized, **self.filter_params["normalized_filter"] + ) + filter_components["normalized_filter"] = f + if "poa_filter" in self.filter_params: if poa is None: - raise ValueError('poa must be available to use poa_filter') - f = filtering.poa_filter(poa, **self.filter_params['poa_filter']) - filter_components['poa_filter'] = f - if 'tcell_filter' in self.filter_params: + raise ValueError("poa must be available to use poa_filter") + f = filtering.poa_filter(poa, **self.filter_params["poa_filter"]) + filter_components["poa_filter"] = f + if "tcell_filter" in self.filter_params: if cell_temp is None: raise ValueError( - 'Cell temperature must be available to use tcell_filter') - f = filtering.tcell_filter( - cell_temp, **self.filter_params['tcell_filter']) - filter_components['tcell_filter'] = f - if 'clip_filter' in self.filter_params: + "Cell temperature must be available to use tcell_filter" + ) + f = filtering.tcell_filter(cell_temp, **self.filter_params["tcell_filter"]) + filter_components["tcell_filter"] = f + if "clip_filter" in self.filter_params: if self.pv_power is None: - raise ValueError('PV power (not energy) is required for the clipping filter. ' - 'Either omit the clipping filter, provide PV power at ' - 'instantiation, or explicitly assign TrendAnalysis.pv_power.') + raise ValueError( + "PV power (not energy) is required for the clipping filter. " + "Either omit the clipping filter, provide PV power at " + "instantiation, or explicitly assign TrendAnalysis.pv_power." + ) f = filtering.clip_filter( - self.pv_power, **self.filter_params['clip_filter']) - filter_components['clip_filter'] = f - if case == 'clearsky': - if self.poa_global is None or self.poa_global_clearsky is None: - raise ValueError('Both poa_global and poa_global_clearsky must be available to ' - 'do clearsky filtering with csi_filter') - f = filtering.csi_filter( - self.poa_global, self.poa_global_clearsky, **self.filter_params['csi_filter']) - filter_components['csi_filter'] = f + self.pv_power, **self.filter_params["clip_filter"] + ) + filter_components["clip_filter"] = f + if "hour_angle_filter" in self.filter_params: + if not hasattr(self, "pvlib_location"): + raise ValueError( + "The pvlib location must be provided using set_clearsky() " + "or by directly setting TrendAnalysis.pvlib_location " + "in order to use the hour_angle_filter" + ) + loc = self.pvlib_location + f = filtering.hour_angle_filter( + energy_normalized, + loc.latitude, + loc.longitude, + **self.filter_params["hour_angle_filter"], + ) + filter_components["hour_angle_filter"] = f + + if case == "clearsky": + filter_components["clearsky_filter"] = _call_clearsky_filter( + "clearsky_filter" + ) + + if "sensor_clearsky_filter" in self.filter_params: + filter_components["sensor_clearsky_filter"] = _call_clearsky_filter( + "sensor_clearsky_filter" + ) # note: the previous implementation using the & operator treated NaN # filter values as False, so we do the same here for consistency: filter_components = pd.DataFrame(filter_components).fillna(False) # apply special checks to ad_hoc_filter, as it is likely more prone to user error - if self.filter_params.get('ad_hoc_filter', None) is not None: - ad_hoc_filter = self.filter_params['ad_hoc_filter'] + if self.filter_params.get("ad_hoc_filter", None) is not None: + ad_hoc_filter = self.filter_params["ad_hoc_filter"] if ad_hoc_filter.isnull().any(): - warnings.warn('ad_hoc_filter contains NaN values; setting to False (excluding)') + warnings.warn( + "ad_hoc_filter contains NaN values; setting to False (excluding)" + ) ad_hoc_filter = ad_hoc_filter.fillna(False) if not filter_components.index.equals(ad_hoc_filter.index): - warnings.warn('ad_hoc_filter index does not match index of other filters; missing ' - 'values will be set to True (kept). Align the index with the index ' - 'of the filter_components attribute to prevent this warning') - ad_hoc_filter = ad_hoc_filter.reindex(filter_components.index).fillna(True) + warnings.warn( + "ad_hoc_filter index does not match index of other filters; missing " + "values will be set to True (kept). Align the index with the index " + "of the filter_components attribute to prevent this warning" + ) + ad_hoc_filter = ad_hoc_filter.reindex(filter_components.index).fillna( + True + ) - filter_components['ad_hoc_filter'] = ad_hoc_filter + filter_components["ad_hoc_filter"] = ad_hoc_filter bool_filter = filter_components.all(axis=1) - filter_components = filter_components.drop(columns=['default']) - if case == 'sensor': + filter_components = filter_components.drop(columns=["default"]) + if case == "sensor": self.sensor_filter = bool_filter self.sensor_filter_components = filter_components - elif case == 'clearsky': + elif case == "clearsky": self.clearsky_filter = bool_filter self.clearsky_filter_components = filter_components + def _aggregated_filter(self, aggregated, case): + """ + Mirrors the _filter private function, but with aggregated filters applied. + These aggregated filters are based on those in rdtools.filtering. Uses + self.filter_params_aggregated, which is a dict, the keys of which are names of + functions in rdtools.filtering, and the values of which are dicts + containing the associated parameters with which to run the filtering + functions. See examples for details on how to modify filter parameters. + + Parameters + ---------- + aggregated : pandas.Series + Time series of aggregated normalized AC energy + case : str + 'sensor' or 'clearsky' which filtering protocol to apply. Affects + whether result is stored in self.sensor_filter_aggregated or + self.clearsky_filter_aggregated) + + Returns + ------- + None + """ + filter_components_aggregated = { + "default": pd.Series(True, index=aggregated.index) + } + + if case == "sensor": + insol = self.sensor_aggregated_insolation + if case == "clearsky": + insol = self.clearsky_aggregated_insolation + + # Add daily aggregate filters as they come online here. + if "two_way_window_filter" in self.filter_params_aggregated: + f = filtering.two_way_window_filter( + aggregated, **self.filter_params_aggregated["two_way_window_filter"] + ) + filter_components_aggregated["two_way_window_filter"] = f + + if "insolation_filter" in self.filter_params_aggregated: + f = filtering.insolation_filter( + insol, **self.filter_params_aggregated["insolation_filter"] + ) + filter_components_aggregated["insolation_filter"] = f + + if "hampel_filter" in self.filter_params_aggregated: + hampelmask = filtering.hampel_filter( + aggregated, **self.filter_params_aggregated["hampel_filter"] + ) + filter_components_aggregated["hampel_filter"] = hampelmask + + if "directional_tukey_filter" in self.filter_params_aggregated: + f = filtering.directional_tukey_filter( + aggregated, **self.filter_params_aggregated["directional_tukey_filter"] + ) + filter_components_aggregated["directional_tukey_filter"] = f + + # Convert the dictionary into a dataframe (after running filters) + filter_components_aggregated = pd.DataFrame( + filter_components_aggregated + ).fillna(False) + # Run the ad-hoc filter from filter_params_aggregated, if available + if self.filter_params_aggregated.get("ad_hoc_filter", None) is not None: + ad_hoc_filter_aggregated = self.filter_params_aggregated["ad_hoc_filter"] + + if ad_hoc_filter_aggregated.isnull().any(): + warnings.warn( + "aggregated ad_hoc_filter contains NaN values; setting to False (excluding)" + ) + ad_hoc_filter_aggregated = ad_hoc_filter_aggregated.fillna(False) + + if not filter_components_aggregated.index.equals( + ad_hoc_filter_aggregated.index + ): + warnings.warn( + "Aggregated ad_hoc_filter index does not match index of other " + "filters; missing values will be set to True (kept). " + "Align the index with the index of the " + "filter_components_aggregated attribute to prevent this warning" + ) + ad_hoc_filter_aggregated = ad_hoc_filter_aggregated.reindex( + filter_components_aggregated.index + ).fillna(True) + + filter_components_aggregated["ad_hoc_filter"] = ad_hoc_filter_aggregated + + bool_filter_aggregated = filter_components_aggregated.all(axis=1) + filter_components_aggregated = filter_components_aggregated.drop( + columns=["default"] + ) + if case == "sensor": + self.sensor_filter_aggregated = bool_filter_aggregated + self.sensor_filter_components_aggregated = filter_components_aggregated + elif case == "clearsky": + self.clearsky_filter_aggregated = bool_filter_aggregated + self.clearsky_filter_components_aggregated = filter_components_aggregated + def _filter_check(self, post_filter): - ''' + """ post-filter check for requisite 730 days of data Parameters ---------- post_filter : pandas.Series Time series filtered by boolean output from self.filter - ''' + """ if post_filter.empty: - post_filter_length = pd.Timedelta('0d') + post_filter_length = pd.Timedelta("0d") else: post_filter_length = post_filter.index[-1] - post_filter.index[0] - if post_filter_length < pd.Timedelta('730d'): - raise ValueError( - "Less than two years of data left after filtering") + if post_filter_length < pd.Timedelta("730d"): + raise ValueError("Less than two years of data left after filtering") def _aggregate(self, energy_normalized, insolation): - ''' + """ Return insolation-weighted normalized PV energy and the associated aggregated insolation Parameters @@ -510,16 +704,18 @@ def _aggregate(self, energy_normalized, insolation): Insolation-weighted aggregated normalized PV energy pandas.Series Aggregated insolation - ''' + """ aggregated = aggregation.aggregation_insol( - energy_normalized, insolation, self.aggregation_freq) + energy_normalized, insolation, self.aggregation_freq + ) aggregated_insolation = insolation.resample( - self.aggregation_freq).sum() + self.aggregation_freq, origin="start_day" + ).sum() return aggregated, aggregated_insolation def _yoy_degradation(self, energy_normalized, **kwargs): - ''' + """ Perform year-on-year degradation analysis on insolation-weighted aggregated energy yield. @@ -539,21 +735,22 @@ def _yoy_degradation(self, energy_normalized, **kwargs): rate confidence interval as a list 'calc_info': Dict of detailed results (see degradation.degradation_year_on_year() docs) - ''' + """ self._filter_check(energy_normalized) yoy_rd, yoy_ci, yoy_info = degradation.degradation_year_on_year( - energy_normalized, **kwargs) + energy_normalized, **kwargs + ) yoy_results = { - 'p50_rd': yoy_rd, - 'rd_confidence_interval': yoy_ci, - 'calc_info': yoy_info + "p50_rd": yoy_rd, + "rd_confidence_interval": yoy_ci, + "calc_info": yoy_info, } return yoy_results def _srr_soiling(self, energy_normalized_daily, insolation_daily, **kwargs): - ''' + """ Perform stochastic rate and recovery soiling analysis. Parameters @@ -574,88 +771,157 @@ def _srr_soiling(self, energy_normalized_daily, insolation_daily, **kwargs): insolation-weighted soiling ratio confidence interval 'calc_info' : Dict of detailed results (see soiling.soiling_srr() docs) - ''' + """ from rdtools import soiling daily_freq = pd.tseries.offsets.Day() - if (energy_normalized_daily.index.freq != daily_freq or - insolation_daily.index.freq != daily_freq): - raise ValueError( - 'Soiling SRR analysis requires daily aggregation.') + if ( + energy_normalized_daily.index.freq != daily_freq + or insolation_daily.index.freq != daily_freq + ): + raise ValueError("Soiling SRR analysis requires daily aggregation.") sr, sr_ci, soiling_info = soiling.soiling_srr( - energy_normalized_daily, insolation_daily, **kwargs) + energy_normalized_daily, insolation_daily, **kwargs + ) srr_results = { - 'p50_sratio': sr, - 'sratio_confidence_interval': sr_ci, - 'calc_info': soiling_info + "p50_sratio": sr, + "sratio_confidence_interval": sr_ci, + "calc_info": soiling_info, } return srr_results def _sensor_preprocess(self): - ''' + """ Perform sensor-based normalization, filtering, and aggregation. If optional parameter self.power_expected is passed in, normalize_with_expected_power will be used instead of pvwatts. - ''' + """ if self.poa_global is None: raise ValueError( - 'poa_global must be available to perform _sensor_preprocess') - + "poa_global must be available to perform _sensor_preprocess" + ) + + if "sensor_clearsky_filter" in self.filter_params: + try: + if self.poa_global_clearsky is None: + self._calc_clearsky_poa(model="isotropic") + except AttributeError: + raise AttributeError( + "No poa_global_clearsky. 'set_clearsky' must be run " + + "to allow filter_params['sensor_clearsky_filter']. " + ) if self.power_expected is None: # Thermal details required if power_expected is not manually set. if self.temperature_cell is None and self.temperature_ambient is None: - raise ValueError('either cell or ambient temperature must be available ' - 'to perform _sensor_preprocess') + raise ValueError( + "either cell or ambient temperature must be available " + "to perform _sensor_preprocess" + ) if self.temperature_cell is None: self.temperature_cell = self._calc_cell_temperature( - self.poa_global, self.temperature_ambient, self.windspeed) + self.poa_global, self.temperature_ambient, self.windspeed + ) energy_normalized, insolation = self._pvwatts_norm( - self.poa_global, self.temperature_cell) + self.poa_global, self.temperature_cell + ) else: # self.power_expected passed in by user energy_normalized, insolation = normalization.normalize_with_expected_power( - self.pv_energy, self.power_expected, self.poa_global, pv_input='energy') - self._filter(energy_normalized, 'sensor') + self.pv_energy, self.power_expected, self.poa_global, pv_input="energy" + ) + self._filter(energy_normalized, "sensor") aggregated, aggregated_insolation = self._aggregate( - energy_normalized[self.sensor_filter], insolation[self.sensor_filter]) - self.sensor_aggregated_performance = aggregated + energy_normalized[self.sensor_filter], insolation[self.sensor_filter] + ) + + # Run daily filters on aggregated data self.sensor_aggregated_insolation = aggregated_insolation + self._aggregated_filter(aggregated, "sensor") + + # Apply filter to aggregated data and store + self.sensor_aggregated_performance = aggregated[self.sensor_filter_aggregated] + self.sensor_aggregated_insolation = aggregated_insolation[ + self.sensor_filter_aggregated + ] + + # Reindex the data after the fact, so it's on the aggregated interval + self.sensor_aggregated_performance = ( + self.sensor_aggregated_performance.resample( + self.aggregation_freq, origin="start_day" + ).asfreq() + ) + self.sensor_aggregated_insolation = self.sensor_aggregated_insolation.resample( + self.aggregation_freq, origin="start_day" + ).asfreq() def _clearsky_preprocess(self): - ''' + """ Perform clear-sky-based normalization, filtering, and aggregation. If optional parameter self.power_expected is passed in, normalize_with_expected_power will be used instead of pvwatts. - ''' + """ try: if self.poa_global_clearsky is None: - self._calc_clearsky_poa(model='isotropic') + self._calc_clearsky_poa(model="isotropic") except AttributeError: - raise AttributeError("No poa_global_clearsky. 'set_clearsky' must be run " + - "prior to 'clearsky_analysis'") + raise AttributeError( + "No poa_global_clearsky. 'set_clearsky' must be run " + + "prior to 'clearsky_analysis'" + ) if self.temperature_cell_clearsky is None: if self.temperature_ambient_clearsky is None: self._calc_clearsky_tamb() self.temperature_cell_clearsky = self._calc_cell_temperature( - self.poa_global_clearsky, self.temperature_ambient_clearsky, 0) + self.poa_global_clearsky, self.temperature_ambient_clearsky, 0 + ) # Note example notebook uses windspeed=0 in the clearskybranch if self.power_expected is None: cs_normalized, cs_insolation = self._pvwatts_norm( - self.poa_global_clearsky, self.temperature_cell_clearsky) + self.poa_global_clearsky, self.temperature_cell_clearsky + ) else: # self.power_expected passed in by user cs_normalized, cs_insolation = normalization.normalize_with_expected_power( - self.pv_energy, self.power_expected, self.poa_global_clearsky, pv_input='energy') - self._filter(cs_normalized, 'clearsky') + self.pv_energy, + self.power_expected, + self.poa_global_clearsky, + pv_input="energy", + ) + self._filter(cs_normalized, "clearsky") cs_aggregated, cs_aggregated_insolation = self._aggregate( - cs_normalized[self.clearsky_filter], cs_insolation[self.clearsky_filter]) - self.clearsky_aggregated_performance = cs_aggregated - self.clearsky_aggregated_insolation = cs_aggregated_insolation + cs_normalized[self.clearsky_filter], cs_insolation[self.clearsky_filter] + ) - def sensor_analysis(self, analyses=['yoy_degradation'], yoy_kwargs={}, srr_kwargs={}): - ''' + # Run daily filters on aggregated data + self.clearsky_aggregated_insolation = cs_aggregated_insolation + self._aggregated_filter(cs_aggregated, "clearsky") + + # Apply daily filter to aggregated data and store + self.clearsky_aggregated_performance = cs_aggregated[ + self.clearsky_filter_aggregated + ] + self.clearsky_aggregated_insolation = cs_aggregated_insolation[ + self.clearsky_filter_aggregated + ] + + # Reindex the data after the fact, so it's on the aggregated interval + self.clearsky_aggregated_performance = ( + self.clearsky_aggregated_performance.resample( + self.aggregation_freq, origin="start_day" + ).asfreq() + ) + self.clearsky_aggregated_insolation = ( + self.clearsky_aggregated_insolation.resample( + self.aggregation_freq, origin="start_day" + ).asfreq() + ) + + def sensor_analysis( + self, analyses=["yoy_degradation"], yoy_kwargs={}, srr_kwargs={} + ): + """ Perform entire sensor-based analysis workflow. Results are stored in self.results['sensor'] @@ -665,33 +931,38 @@ def sensor_analysis(self, analyses=['yoy_degradation'], yoy_kwargs={}, srr_kwarg Analyses to perform as a list of strings. Valid entries are 'yoy_degradation' and 'srr_soiling' yoy_kwargs : dict - kwargs to pass to degradation.degradation_year_on_year() + kwargs to pass to :py:func:`rdtools.degradation.degradation_year_on_year` srr_kwargs : dict - kwargs to pass to soiling.soiling_srr() + kwargs to pass to :py:func:`rdtools.soiling.soiling_srr` Returns ------- None - ''' + """ self._sensor_preprocess() sensor_results = {} - if 'yoy_degradation' in analyses: + if "yoy_degradation" in analyses: yoy_results = self._yoy_degradation( - self.sensor_aggregated_performance, **yoy_kwargs) - sensor_results['yoy_degradation'] = yoy_results - - if 'srr_soiling' in analyses: - srr_results = self._srr_soiling(self.sensor_aggregated_performance, - self.sensor_aggregated_insolation, - **srr_kwargs) - sensor_results['srr_soiling'] = srr_results - - self.results['sensor'] = sensor_results - - def clearsky_analysis(self, analyses=['yoy_degradation'], yoy_kwargs={}, srr_kwargs={}): - ''' + self.sensor_aggregated_performance, **yoy_kwargs + ) + sensor_results["yoy_degradation"] = yoy_results + + if "srr_soiling" in analyses: + srr_results = self._srr_soiling( + self.sensor_aggregated_performance, + self.sensor_aggregated_insolation, + **srr_kwargs, + ) + sensor_results["srr_soiling"] = srr_results + + self.results["sensor"] = sensor_results + + def clearsky_analysis( + self, analyses=["yoy_degradation"], yoy_kwargs={}, srr_kwargs={} + ): + """ Perform entire clear-sky-based analysis workflow. Results are stored in self.results['clearsky'] @@ -701,33 +972,36 @@ def clearsky_analysis(self, analyses=['yoy_degradation'], yoy_kwargs={}, srr_kwa Analyses to perform as a list of strings. Valid entries are 'yoy_degradation' and 'srr_soiling' yoy_kwargs : dict - kwargs to pass to degradation.degradation_year_on_year() + kwargs to pass to :py:func:`rdtools.degradation.degradation_year_on_year` srr_kwargs : dict - kwargs to pass to soiling.soiling_srr() + kwargs to pass to :py:func:`rdtools.soiling.soiling_srr` Returns ------- None - ''' + """ self._clearsky_preprocess() clearsky_results = {} - if 'yoy_degradation' in analyses: + if "yoy_degradation" in analyses: yoy_results = self._yoy_degradation( - self.clearsky_aggregated_performance, **yoy_kwargs) - clearsky_results['yoy_degradation'] = yoy_results + self.clearsky_aggregated_performance, **yoy_kwargs + ) + clearsky_results["yoy_degradation"] = yoy_results - if 'srr_soiling' in analyses: - srr_results = self._srr_soiling(self.clearsky_aggregated_performance, - self.clearsky_aggregated_insolation, - **srr_kwargs) - clearsky_results['srr_soiling'] = srr_results + if "srr_soiling" in analyses: + srr_results = self._srr_soiling( + self.clearsky_aggregated_performance, + self.clearsky_aggregated_insolation, + **srr_kwargs, + ) + clearsky_results["srr_soiling"] = srr_results - self.results['clearsky'] = clearsky_results + self.results["clearsky"] = clearsky_results def plot_degradation_summary(self, case, **kwargs): - ''' + """ Return a figure of a scatter plot and a histogram summarizing degradation rate analysis. Parameters @@ -735,30 +1009,33 @@ def plot_degradation_summary(self, case, **kwargs): case : str The workflow result to plot, allowed values are 'sensor' and 'clearsky' kwargs : - Extra parameters passed to plotting.degradation_summary_plots() + Extra parameters passed to :py:func:`rdtools.plotting.degradation_summary_plots` Returns ------- matplotlib.figure.Figure - ''' + """ - if case == 'sensor': - results_dict = self.results['sensor']['yoy_degradation'] + if case == "sensor": + results_dict = self.results["sensor"]["yoy_degradation"] aggregated = self.sensor_aggregated_performance - elif case == 'clearsky': - results_dict = self.results['clearsky']['yoy_degradation'] + elif case == "clearsky": + results_dict = self.results["clearsky"]["yoy_degradation"] aggregated = self.clearsky_aggregated_performance else: raise ValueError("case must be either 'sensor' or 'clearsky'") fig = plotting.degradation_summary_plots( - results_dict['p50_rd'], - results_dict['rd_confidence_interval'], - results_dict['calc_info'], aggregated, **kwargs) + results_dict["p50_rd"], + results_dict["rd_confidence_interval"], + results_dict["calc_info"], + aggregated, + **kwargs, + ) return fig def plot_soiling_monte_carlo(self, case, **kwargs): - ''' + """ Return a figure visualizing the Monte Carlo of soiling profiles used in stochastic rate and recovery soiling analysis. @@ -767,29 +1044,30 @@ def plot_soiling_monte_carlo(self, case, **kwargs): case : str The workflow result to plot, allowed values are 'sensor' and 'clearsky' kwargs : - Extra parameters passed to plotting.soiling_monte_carlo_plot() + Extra parameters passed to :py:func:`rdtools.plotting.soiling_monte_carlo_plot` Returns ------- matplotlib.figure.Figure - ''' + """ - if case == 'sensor': - results_dict = self.results['sensor']['srr_soiling'] + if case == "sensor": + results_dict = self.results["sensor"]["srr_soiling"] aggregated = self.sensor_aggregated_performance - elif case == 'clearsky': - results_dict = self.results['clearsky']['srr_soiling'] + elif case == "clearsky": + results_dict = self.results["clearsky"]["srr_soiling"] aggregated = self.clearsky_aggregated_performance else: raise ValueError("case must be either 'sensor' or 'clearsky'") fig = plotting.soiling_monte_carlo_plot( - results_dict['calc_info'], aggregated, **kwargs) + results_dict["calc_info"], aggregated, **kwargs + ) return fig def plot_soiling_interval(self, case, **kwargs): - ''' + """ Return a figure visualizing the valid soiling intervals used in stochastic rate and recovery soiling analysis. @@ -798,29 +1076,30 @@ def plot_soiling_interval(self, case, **kwargs): case : str The workflow result to plot, allowed values are 'sensor' and 'clearsky' kwargs : - Extra parameters passed to plotting.soiling_interval_plot() + Extra parameters passed to :py:func:`rdtools.plotting.soiling_interval_plot` Returns ------- matplotlib.figure.Figure - ''' + """ - if case == 'sensor': - results_dict = self.results['sensor']['srr_soiling'] + if case == "sensor": + results_dict = self.results["sensor"]["srr_soiling"] aggregated = self.sensor_aggregated_performance - elif case == 'clearsky': - results_dict = self.results['clearsky']['srr_soiling'] + elif case == "clearsky": + results_dict = self.results["clearsky"]["srr_soiling"] aggregated = self.clearsky_aggregated_performance else: raise ValueError("case must be either 'sensor' or 'clearsky'") fig = plotting.soiling_interval_plot( - results_dict['calc_info'], aggregated, **kwargs) + results_dict["calc_info"], aggregated, **kwargs + ) return fig def plot_soiling_rate_histogram(self, case, **kwargs): - ''' + """ Return a histogram of soiling rates found in the stochastic rate and recovery soiling analysis @@ -829,27 +1108,26 @@ def plot_soiling_rate_histogram(self, case, **kwargs): case : str The workflow result to plot, allowed values are 'sensor' and 'clearsky' kwargs : - Extra parameters passed to plotting.soiling_rate_histogram() + Extra parameters passed to :py:func:`rdtools.plotting.soiling_rate_histogram` Returns ------- matplotlib.figure.Figure - ''' + """ - if case == 'sensor': - results_dict = self.results['sensor']['srr_soiling'] - elif case == 'clearsky': - results_dict = self.results['clearsky']['srr_soiling'] + if case == "sensor": + results_dict = self.results["sensor"]["srr_soiling"] + elif case == "clearsky": + results_dict = self.results["clearsky"]["srr_soiling"] else: raise ValueError("case must be either 'sensor' or 'clearsky'") - fig = plotting.soiling_rate_histogram( - results_dict['calc_info'], **kwargs) + fig = plotting.soiling_rate_histogram(results_dict["calc_info"], **kwargs) return fig def plot_pv_vs_irradiance(self, case, alpha=0.01, **kwargs): - ''' + """ Plot PV energy vs irradiance, useful in diagnosing things like timezone problems or transposition errors. @@ -866,22 +1144,54 @@ def plot_pv_vs_irradiance(self, case, alpha=0.01, **kwargs): Returns ------- matplotlib.figure.Figure - ''' + """ - if case == 'sensor': + if case == "sensor": poa = self.poa_global - elif case == 'clearsky': + elif case == "clearsky": poa = self.poa_global_clearsky else: raise ValueError("case must be either 'sensor' or 'clearsky'") - to_plot = pd.merge(pd.DataFrame(poa), pd.DataFrame( - self.pv_energy), left_index=True, right_index=True) + to_plot = pd.merge( + pd.DataFrame(poa), + pd.DataFrame(self.pv_energy), + left_index=True, + right_index=True, + ) fig, ax = plt.subplots() - ax.plot(to_plot.iloc[:, 0], to_plot.iloc[:, 1], - 'o', alpha=alpha, **kwargs) + ax.plot(to_plot.iloc[:, 0], to_plot.iloc[:, 1], "o", alpha=alpha, **kwargs) ax.set_xlim(0, 1500) - ax.set_xlabel('Irradiance (W/m$^2$)') - ax.set_ylabel('PV Energy (Wh/timestep)') + ax.set_xlabel("Irradiance (W/m$^2$)") + ax.set_ylabel("PV Energy (Wh/timestep)") + return fig + + def plot_degradation_timeseries(self, case, rolling_days=365, **kwargs): + """ + Plot resampled time series of degradation trend with time + + Parameters + ---------- + case: str + The workflow result to plot, allowed values are 'sensor' and 'clearsky' + rolling_days: int, default 365 + Number of days for rolling window. Note that the window must contain + at least 50% of datapoints to be included in rolling plot. + kwargs : + Extra parameters passed to :py:func:`rdtools.plotting.degradation_timeseries_plot` + + Returns + ------- + matplotlib.figure.Figure + """ + + if case == "sensor": + yoy_info = self.results["sensor"]["yoy_degradation"]["calc_info"] + elif case == "clearsky": + yoy_info = self.results["clearsky"]["yoy_degradation"]["calc_info"] + else: + raise ValueError("case must be either 'sensor' or 'clearsky'") + + fig = plotting.degradation_timeseries_plot(yoy_info, rolling_days, **kwargs) return fig diff --git a/rdtools/bootstrap.py b/rdtools/bootstrap.py new file mode 100644 index 000000000..52de71a7d --- /dev/null +++ b/rdtools/bootstrap.py @@ -0,0 +1,113 @@ +''' +Functions for circular block bootstrapping of time series models to acquire +confidence intervals. + +References +---------- +.. [1] Skomedal, Å. and Deceglie, M. G., IEEE Journal of + Photovoltaics, Sept. 2020. https://doi.org/10.1109/JPHOTOV.2020.3018219 + +''' + +import pandas as pd +import numpy as np +from arch.bootstrap import CircularBlockBootstrap + + +def _make_time_series_bootstrap_samples( + signal, model_fit, sample_nr=1000, block_length=90, decomposition_type='multiplicative' +): + ''' + Generate bootstrap samples based a time series signal and its model fit + using circular block bootstrapping. + + Parameters + ---------- + signal : pandas.Series + The time series signal that you want to make bootstrap samples of + model_fit : pandas.Series + A model fit to the signal + sample_nr : int, default 1000 + The number of bootstrap samples that you want to generate + block_length : int, default 90 + Length of blocks to shuffle in block bootstrapping + decomposition_type : string, default 'multiplicative' + The type of decomposition to use with the model, + either 'multiplicative' or 'additive' + + Returns + ------- + bootstrap_samples : pandas.DataFrame + A dataframe contianing the bootstrap samples in the columns + ''' + if decomposition_type == 'multiplicative': + residuals = signal / model_fit + elif decomposition_type == 'additive': + residuals = signal - model_fit + else: + raise ValueError( + 'decomposition_type needs to be either \'multiplicative\' or' + + ' \'additive\'') + + # Initialize return dataframe + bootstrap_samples = pd.DataFrame( + index=signal.index, columns=range(sample_nr)) + + # Create circular blocks of boostrap samples + bs = CircularBlockBootstrap(block_length, residuals) + for b, bootstrapped_residuals in enumerate(bs.bootstrap(sample_nr)): + if decomposition_type == 'multiplicative': + bootstrap_samples.loc[:, b] = \ + model_fit * bootstrapped_residuals[0][0].values + elif decomposition_type == 'additive': + bootstrap_samples.loc[:, b] = \ + model_fit + bootstrapped_residuals[0][0].values + + return bootstrap_samples + + +def _construct_confidence_intervals( + bootstrap_samples, fitting_function, exceedance_prob=95, confidence_level=68.2, **kwargs +): + ''' + Construct confidence intervals based on a set of bootstrap samples and + a fitting function that takes a pandas series as input and returns a + float + + Parameters + ---------- + bootstrap_samples : pandas.DataFrame + A dataframe containing the bootstrap samples in the columns + fitting_function : function + A function that fits a model to the bootstrap samples. Should take a + series as input and returns a float + exceedance_prob : float, default 95 + The probability level to use for exceedance value calculation, + in percent. + confidence_level : float, default 68.2 + The size of the confidence interval to return, in percent. + **kwargs + Keyword arguments to pass on to the `fitting_function` + + Returns + ------- + confidence_interval : tuple(float, float) + The confidence interval of the metric that is estimated in the + `fitting_function` + exceedance_level : float + the degradation rate that was outperformed with probability of + `exceedance_prob` + metrics : pd.Series + Series of result metrics of the `fitting_function` + ''' + # Estimate the set of metrics using the fitting function + metrics = bootstrap_samples.apply(fitting_function, **kwargs) + + # Construct the confidence interval + half_ci = confidence_level / 2.0 + confidence_interval = np.percentile(metrics, [50.0 - half_ci, 50.0 + half_ci]) + + # Estimate exceedance level + exceedance_level = np.percentile(metrics, 100.0 - exceedance_prob) + + return confidence_interval, exceedance_level, metrics diff --git a/rdtools/degradation.py b/rdtools/degradation.py index ef3ee4338..47031d563 100644 --- a/rdtools/degradation.py +++ b/rdtools/degradation.py @@ -3,6 +3,8 @@ import pandas as pd import numpy as np import statsmodels.api as sm +from rdtools.bootstrap import _make_time_series_bootstrap_samples, \ + _construct_confidence_intervals def degradation_ols(energy_normalized, confidence_level=68.2): @@ -173,7 +175,8 @@ def degradation_classical_decomposition(energy_normalized, def degradation_year_on_year(energy_normalized, recenter=True, - exceedance_prob=95, confidence_level=68.2): + exceedance_prob=95, confidence_level=68.2, + uncertainty_method='simple', block_length=30): ''' Estimate the trend of a timeseries using the year-on-year decomposition approach and calculate a Monte Carlo-derived confidence interval of slope. @@ -192,6 +195,16 @@ def degradation_year_on_year(energy_normalized, recenter=True, in percent. confidence_level : float, default 68.2 The size of the confidence interval to return, in percent. + uncertainty_method : string, default 'simple' + Either 'simple', 'circular_block', or None + Determines what bootstrapping method to use to construct confidence + intervals and exceedance levels. If None (or anything other than the three + alternatives), the algorithm does not construct confidence intervals, + is considerably faster, and only returns the `Rd_pct`. + block_length : int, default 30 + If `uncertainty_method` is 'circular_block', `block_length` + determines the length of the blocks used in the circular block bootstrapping + in number of days. Must be shorter than a third of the time series. Returns ------- @@ -218,10 +231,11 @@ def degradation_year_on_year(energy_normalized, recenter=True, energy_normalized.index.name = 'dt' # Detect sub-daily data: - if min(np.diff(energy_normalized.index.values, n=1)) < \ - np.timedelta64(23, 'h'): - raise ValueError('energy_normalized must not be ' - 'more frequent than daily') + # disabling this check while we experiment with morning/evening agregation + # if min(np.diff(energy_normalized.index.values, n=1)) < \ + # np.timedelta64(23, 'h'): + # raise ValueError('energy_normalized must not be ' + # 'more frequent than daily') # Detect less than 2 years of data. This is complicated by two things: # - leap days muddle the precise meaning of "two years of data". @@ -237,6 +251,17 @@ def degradation_year_on_year(energy_normalized, recenter=True, if energy_normalized.index[-1] < energy_normalized.index[0] + pd.DateOffset(years=2) - step: raise ValueError('must provide at least two years of normalized energy') + # If circular block bootstrapping... + if uncertainty_method == 'circular_block': + # ... require regular logging frequency + freq = pd.infer_freq(energy_normalized.index) + if isinstance(freq, type(None)): + raise ValueError('energy_normalized must have a fixed frequency') + # ... require a block length shorter than a third of the time series + if block_length > (len(energy_normalized) / 3): + raise ValueError( + 'block_length must must be shorter than a third of the time series') + # Auto center if recenter: start = energy_normalized.index[0] @@ -252,7 +277,8 @@ def degradation_year_on_year(energy_normalized, recenter=True, # Merge with what happened one year ago, use tolerance of 8 days to allow # for weekly aggregated data - df = pd.merge_asof(energy_normalized[['dt', 'energy']], energy_normalized, + df = pd.merge_asof(energy_normalized[['dt', 'energy']], + energy_normalized.sort_values('dt_shifted'), left_on='dt', right_on='dt_shifted', suffixes=['', '_right'], tolerance=pd.Timedelta('8D') @@ -268,31 +294,70 @@ def degradation_year_on_year(energy_normalized, recenter=True, df['usage_of_points'] = df.yoy.notnull().astype(int).add( df_right.yoy.notnull().astype(int), fill_value=0) - calc_info = { - 'YoY_values': yoy_result, - 'renormalizing_factor': renorm, - 'usage_of_points': df['usage_of_points'] - } - if not len(yoy_result): raise ValueError('no year-over-year aggregated data pairs found') Rd_pct = yoy_result.median() - # bootstrap to determine 68% CI and exceedance probability - n1 = len(yoy_result) - reps = 10000 - xb1 = np.random.choice(yoy_result, (n1, reps), replace=True) - mb1 = np.median(xb1, axis=0) - - half_ci = confidence_level / 2.0 - Rd_CI = np.percentile(mb1, [50.0 - half_ci, 50.0 + half_ci]) - - P_level = np.percentile(mb1, 100.0 - exceedance_prob) - - calc_info['exceedance_level'] = P_level - - return (Rd_pct, Rd_CI, calc_info) + if uncertainty_method == 'simple': # If we need the full results + calc_info = { + 'YoY_values': yoy_result, + 'renormalizing_factor': renorm, + 'usage_of_points': df['usage_of_points'] + } + + # bootstrap to determine 68% CI and exceedance probability + n1 = len(yoy_result) + reps = 10000 + xb1 = np.random.choice(yoy_result, (n1, reps), replace=True) + mb1 = np.median(xb1, axis=0) + + half_ci = confidence_level / 2.0 + Rd_CI = np.percentile(mb1, [50.0 - half_ci, 50.0 + half_ci]) + + P_level = np.percentile(mb1, 100.0 - exceedance_prob) + + calc_info['exceedance_level'] = P_level + + return (Rd_pct, Rd_CI, calc_info) + + elif uncertainty_method == 'circular_block': + # Number of bootstrap repetitions + reps = 1000 + + # Construct degradation trend time series + N = len(energy_normalized) + numeric_index = np.arange(N) + days_per_index = \ + (energy_normalized.dt.iloc[-1] - energy_normalized.dt.iloc[0]).days / N + degradation_trend = 1 + (Rd_pct / 100 / 365.0 * numeric_index + * days_per_index) + degradation_trend = pd.Series( + index=energy_normalized.dt, data=degradation_trend) + + # Generate bootstrap_samples + bootstrap_samples = _make_time_series_bootstrap_samples( + energy_normalized.set_index('dt')['energy'], degradation_trend, + sample_nr=reps, block_length=block_length) + + # Construct confidence interval + Rd_CI, exceedance_level, bootstrap_rates = \ + _construct_confidence_intervals( + bootstrap_samples, degradation_year_on_year, + exceedance_prob=exceedance_prob, confidence_level=confidence_level, + recenter=False, uncertainty_method='none') + + # Save calculation information + calc_info = { + 'renormalizing_factor': renorm, + 'exceedance_level': exceedance_level, + 'usage_of_points': df['usage_of_points'], + 'bootstrap_rates': bootstrap_rates} + + return (Rd_pct, Rd_CI, calc_info) + + else: # If we do not need confidence intervals and exceedance level + return Rd_pct def _mk_test(x, alpha=0.05): diff --git a/rdtools/filtering.py b/rdtools/filtering.py index 1fa662f6f..5c3443ba0 100644 --- a/rdtools/filtering.py +++ b/rdtools/filtering.py @@ -1,17 +1,20 @@ -'''Functions for filtering and subsetting PV system data.''' +"""Functions for filtering and subsetting PV system data.""" import numpy as np import pandas as pd import os import warnings +import pvlib from numbers import Number +from scipy.interpolate import interp1d import rdtools import xgboost as xgb # Load in the XGBoost clipping model using joblib. xgboost_clipping_model = None -model_path = os.path.join(os.path.dirname(__file__), - "models", "xgboost_clipping_model.json") +model_path = os.path.join( + os.path.dirname(__file__), "models", "xgboost_clipping_model.json" +) def _load_xgboost_clipping_model(): @@ -22,9 +25,10 @@ def _load_xgboost_clipping_model(): return xgboost_clipping_model -def normalized_filter(energy_normalized, energy_normalized_low=0.01, - energy_normalized_high=None): - ''' +def normalized_filter( + energy_normalized, energy_normalized_low=0.01, energy_normalized_high=None +): + """ Select normalized yield between ``low_cutoff`` and ``high_cutoff`` Parameters @@ -41,19 +45,20 @@ def normalized_filter(energy_normalized, energy_normalized_low=0.01, pandas.Series Boolean Series of whether the given measurement is within acceptable bounds. - ''' + """ if energy_normalized_low is None: energy_normalized_low = -np.inf if energy_normalized_high is None: energy_normalized_high = np.inf - return ((energy_normalized > energy_normalized_low) & - (energy_normalized < energy_normalized_high)) + return (energy_normalized > energy_normalized_low) & ( + energy_normalized < energy_normalized_high + ) def poa_filter(poa_global, poa_global_low=200, poa_global_high=1200): - ''' + """ Filter POA irradiance readings outside acceptable measurement bounds. Parameters @@ -70,13 +75,12 @@ def poa_filter(poa_global, poa_global_low=200, poa_global_high=1200): pandas.Series Boolean Series of whether the given measurement is within acceptable bounds. - ''' + """ return (poa_global > poa_global_low) & (poa_global < poa_global_high) -def tcell_filter(temperature_cell, temperature_cell_low=-50, - temperature_cell_high=110): - ''' +def tcell_filter(temperature_cell, temperature_cell_low=-50, temperature_cell_high=110): + """ Filter temperature readings outside acceptable measurement bounds. Parameters @@ -93,13 +97,51 @@ def tcell_filter(temperature_cell, temperature_cell_low=-50, pandas.Series Boolean Series of whether the given measurement is within acceptable bounds. - ''' - return ((temperature_cell > temperature_cell_low) & - (temperature_cell < temperature_cell_high)) + """ + return (temperature_cell > temperature_cell_low) & ( + temperature_cell < temperature_cell_high + ) + + +def clearsky_filter(poa_global_measured, poa_global_clearsky, model='pvlib', **kwargs): + """ + Wrapper function for running either the CSI or pvlib clearsky filter. + + Parameters + ---------- + poa_global_measured : pandas.Series + Plane of array irradiance based on measurments + poa_global_clearsky : pandas.Series + Plane of array irradiance based on a clear sky model + model : str, default 'pvlib' + Clearsky filter model to be applied. Can be 'pvlib' or 'csi'. + kwargs : + Additional clearsky filter args, specific to the filter being + used. Keyword must be passed with value. + + Returns + ------- + pandas.Series + Boolean Series of whether or not the given time is clear + based on the selected filter. + + See Also + -------- + csi_filter : Filtering based on clear-sky index (csi). + pvlib_clearsky_filter : Filtering based on pvlib's clearsky model. + """ + + if model == "csi": + clearsky_mask = csi_filter(poa_global_measured, poa_global_clearsky, **kwargs) + elif model == "pvlib": + clearsky_mask = pvlib_clearsky_filter(poa_global_measured, poa_global_clearsky, **kwargs) + else: + raise ValueError("Clearsky filter must be 'pvlib' or 'csi'.") + return clearsky_mask def csi_filter(poa_global_measured, poa_global_clearsky, threshold=0.15): - ''' + """ Filtering based on clear-sky index (csi) Parameters @@ -116,12 +158,140 @@ def csi_filter(poa_global_measured, poa_global_clearsky, threshold=0.15): pandas.Series Boolean Series of whether the clear-sky index is within the threshold around 1. - ''' + """ csi = poa_global_measured / poa_global_clearsky return (csi >= 1.0 - threshold) & (csi <= 1.0 + threshold) +def pvlib_clearsky_filter( + poa_global_measured, + poa_global_clearsky, + window_length=90, + mean_diff=75, + max_diff=75, + lower_line_length=-45, + upper_line_length=80, + var_diff=0.032, + slope_dev=75, + lookup_parameters=False, + **kwargs, +): + """ + Filtering based on the Reno and Hansen method for clear-sky filtering + as implimented in pvlib. Requires a regular time series with uniform + time steps. + + Parameters + ---------- + poa_global_measured : pandas.Series + Plane of array irradiance based on measurments + poa_global_clearsky : pandas.Series + Plane of array irradiance based on a clear sky model + window_length : int, default 10 + Length of sliding time window in minutes. Must be greater than 2 + periods. + mean_diff : float, default 75 + Threshold value for agreement between mean values of measured + and clearsky in each interval, see Eq. 6 in [1]. [W/m2] + max_diff : float, default 75 + Threshold value for agreement between maxima of measured and + clearsky values in each interval, see Eq. 7 in [1]. [W/m2] + lower_line_length : float, default -5 + Lower limit of line length criterion from Eq. 8 in [1]. + Criterion satisfied when lower_line_length < line length difference + < upper_line_length. + upper_line_length : float, default 10 + Upper limit of line length criterion from Eq. 8 in [1]. + var_diff : float, default 0.005 + Threshold value in Hz for the agreement between normalized + standard deviations of rate of change in irradiance, see Eqs. 9 + through 11 in [1]. + slope_dev : float, default 8 + Threshold value for agreement between the largest magnitude of + change in successive values, see Eqs. 12 through 14 in [1]. + lookup_parameters : bool, default False + Look up the recomended parameters [2] based on the + frequency of poa_global_measured. If poa_global_measured has a defined + frequency, this overrides the values of window_length, max_diff, + var_diff, and slope_dev. For frequencies below 1 minute or greater than + 30, the lookup uses the recomended parameters for 1 or 30 minutes + respectively. If poa_global_measured doesn't have a defined frequency, + the passed or default values of the parameters are used. + kwargs : + Additional arguments passed to pvlib.clearsky.detect_clearsky + return_components is set to False and not passed. + + Returns + ------- + pandas.Series + Boolean Series of whether or not the given time is clear. + + References + ---------- + [1] M.J. Reno and C.W. Hansen, Renewable Energy 90, pp. 520-531 (2016) + [2] D.C. Jordan and C.W. Hansen, Renewable Energy 209 pp. 393-400 (2023) + + + """ + + if lookup_parameters and poa_global_measured.index.freq: + frequencies = np.array([1, 5, 15, 30]) + windows = np.array([50, 60, 90, 120]) + max_diffs = np.array([60, 65, 75, 90]) + var_diffs = np.array([0.005, 0.01, 0.032, 0.07]) + slope_devs = np.array([50, 60, 75, 96]) + + windows_interp = interp1d( + frequencies, + windows, + fill_value=(windows[0], windows[-1]), + bounds_error=False, + ) + max_diffs_interp = interp1d( + frequencies, + max_diffs, + fill_value=(max_diffs[0], max_diffs[-1]), + bounds_error=False, + ) + var_diffs_interp = interp1d( + frequencies, + var_diffs, + fill_value=(var_diffs[0], var_diffs[-1]), + bounds_error=False, + ) + slope_devs_interp = interp1d( + frequencies, + slope_devs, + fill_value=(slope_devs[0], slope_devs[-1]), + bounds_error=False, + ) + + freq_minutes = poa_global_measured.index.freq.nanos / 10**9 / 60 + window_length = windows_interp(freq_minutes) + max_diff = max_diffs_interp(freq_minutes) + var_diff = var_diffs_interp(freq_minutes) + slope_dev = slope_devs_interp(freq_minutes) + + df = pd.concat([poa_global_measured, poa_global_clearsky], axis=1, join="outer") + df.columns = ["measured", "clearsky"] + + kwargs["return_components"] = False + mask = pvlib.clearsky.detect_clearsky( + df["measured"], + df["clearsky"], + window_length=window_length, + mean_diff=mean_diff, + max_diff=max_diff, + lower_line_length=lower_line_length, + upper_line_length=upper_line_length, + var_diff=var_diff, + slope_dev=slope_dev, + **kwargs, + ) + return mask + + def clip_filter(power_ac, model="quantile", **kwargs): """ Master wrapper for running one of the desired clipping filters. @@ -152,30 +322,30 @@ def clip_filter(power_ac, model="quantile", **kwargs): """ if isinstance(model, Number): quantile = model - warnings.warn("Function clip_filter is now a wrapper for different " - "clipping filters. To reproduce prior behavior, " - "parameters have been interpreted as model= " - f"'quantile_clip_filter', quantile={quantile}. " - "This syntax will be removed in a future version.", - rdtools._deprecation.rdtoolsDeprecationWarning) - kwargs['quantile'] = quantile - model = 'quantile' - - if (model == 'quantile'): + warnings.warn( + "Function clip_filter is now a wrapper for different " + "clipping filters. To reproduce prior behavior, " + "parameters have been interpreted as model= " + f"'quantile_clip_filter', quantile={quantile}. " + "This syntax will be removed in a future version.", + rdtools._deprecation.rdtoolsDeprecationWarning, + ) + kwargs["quantile"] = quantile + model = "quantile" + + if model == "quantile": clip_mask = quantile_clip_filter(power_ac, **kwargs) - elif model == 'xgboost': + elif model == "xgboost": clip_mask = xgboost_clip_filter(power_ac, **kwargs) - elif model == 'logic': + elif model == "logic": clip_mask = logic_clip_filter(power_ac, **kwargs) else: - raise ValueError( - "Variable model must be 'quantile', " - "'xgboost', or 'logic'.") + raise ValueError("Variable model must be 'quantile', " "'xgboost', or 'logic'.") return clip_mask def quantile_clip_filter(power_ac, quantile=0.98): - ''' + """ Filter data points likely to be affected by clipping with power or energy greater than or equal to 99% of the `quant` quantile. @@ -192,9 +362,9 @@ def quantile_clip_filter(power_ac, quantile=0.98): pandas.Series Boolean Series of whether the given measurement is below 99% of the quantile filter. - ''' + """ v = power_ac.quantile(quantile) - return (power_ac < v * 0.99) + return power_ac < v * 0.99 def _format_clipping_time_series(power_ac, mounting_type): @@ -223,38 +393,42 @@ def _format_clipping_time_series(power_ac, mounting_type): # Check that it's a Pandas series with a datetime index. # If not, raise an error. if not isinstance(power_ac.index, pd.DatetimeIndex): - raise TypeError('Must be a Pandas series with a datetime index.') + raise TypeError("Must be a Pandas series with a datetime index.") # Check if the time series is tz-aware. If not, throw a # warning. has_timezone = pd.Series(power_ac.index).apply(lambda t: t.tzinfo is not None) # Throw a warning that we're expecting time zone-localized data, # if no time zone is specified. if not has_timezone.all(): - warnings.warn("Function expects timestamps in local time. " - "For best results pass a time-zone-localized " - "time series localized to the correct local time zone.") + warnings.warn( + "Function expects timestamps in local time. " + "For best results pass a time-zone-localized " + "time series localized to the correct local time zone." + ) # Check the other input variables to ensure that they are the # correct format if (mounting_type != "single_axis_tracking") & (mounting_type != "fixed"): raise ValueError( "Variable mounting_type must be string 'single_axis_tracking' or " - "'fixed'.") + "'fixed'." + ) # Check if the datetime index is out of order. If it is, throw an # error. if not all(power_ac.sort_index().index == power_ac.index): raise IndexError( "Time series index has not been sorted. Implement the " - "sort_index() method to the time series to rerun this function.") + "sort_index() method to the time series to rerun this function." + ) # Check that there is enough data in the dataframe. Must be greater than # 10 readings. if len(power_ac) <= 10: - raise Exception('<=10 readings in the time series, cannot run filter.') + raise Exception("<=10 readings in the time series, cannot run filter.") # Get the names of the series and the datetime index - column_name = 'value' + column_name = "value" power_ac = power_ac.rename(column_name) index_name = power_ac.index.name if index_name is None: - index_name = 'datetime' + index_name = "datetime" power_ac = power_ac.rename_axis(index_name) return power_ac, power_ac.index.name @@ -277,15 +451,17 @@ def _check_data_sampling_frequency(power_ac): """ # Get the sampling frequency counts--if the sampling frequency is not # consistently >=95% the same, then throw a warning. - sampling_frequency_df = pd.DataFrame(power_ac.index.to_series() - .diff().astype('timedelta64[s]') - .value_counts())/len(power_ac) + sampling_frequency_df = pd.DataFrame( + power_ac.index.to_series().diff().astype("timedelta64[s]").value_counts() + ) / len(power_ac) sampling_frequency_df.columns = ["count"] - if (sampling_frequency_df["count"] < .95).all(): - warnings.warn("Variable sampling frequency across time series. " - "Less than 95% of the time series is sampled at the " - "same interval. This function was not tested " - "on variable frequency data--use at your own risk!") + if (sampling_frequency_df["count"] < 0.95).all(): + warnings.warn( + "Variable sampling frequency across time series. " + "Less than 95% of the time series is sampled at the " + "same interval. This function was not tested " + "on variable frequency data--use at your own risk!" + ) return @@ -315,13 +491,11 @@ def _calculate_max_rolling_range(power_ac, roll_periods): min_roll = power_ac.iloc[::-1].rolling(roll_periods).min() min_roll = min_roll.reindex(power_ac.index) # Calculate the maximum rolling range within the foward-rolling window - rolling_range_max = (max_roll - min_roll)/((max_roll + min_roll)/2)*100 + rolling_range_max = (max_roll - min_roll) / ((max_roll + min_roll) / 2) * 100 return rolling_range_max -def _apply_overall_clipping_threshold(power_ac, - clipping_mask, - clipped_power_ac): +def _apply_overall_clipping_threshold(power_ac, clipping_mask, clipped_power_ac): """ Apply an overall clipping threshold to the data. This additional logic sets an overall threshold in the dataset @@ -349,22 +523,21 @@ def _apply_overall_clipping_threshold(power_ac, periods are labeled as True and non-clipping periods are labeled as False. Has a pandas datetime index. """ - upper_bound_pdiff = abs((power_ac.quantile(.99) - - clipped_power_ac.quantile(.99)) - / ((power_ac.quantile(.99) + - clipped_power_ac.quantile(.99))/2)) - percent_clipped = len(clipped_power_ac)/len(power_ac)*100 + upper_bound_pdiff = abs( + (power_ac.quantile(0.99) - clipped_power_ac.quantile(0.99)) + / ((power_ac.quantile(0.99) + clipped_power_ac.quantile(0.99)) / 2) + ) + percent_clipped = len(clipped_power_ac) / len(power_ac) * 100 if (upper_bound_pdiff < 0.005) & (percent_clipped > 4): - max_clip = (power_ac >= power_ac.quantile(0.99)) - clipping_mask = (clipping_mask | max_clip) + max_clip = power_ac >= power_ac.quantile(0.99) + clipping_mask = clipping_mask | max_clip return clipping_mask -def logic_clip_filter(power_ac, - mounting_type='fixed', - rolling_range_max_cutoff=0.2, - roll_periods=None): - ''' +def logic_clip_filter( + power_ac, mounting_type="fixed", rolling_range_max_cutoff=0.2, roll_periods=None +): + """ This filter is a logic-based filter that is used to filter out clipping periods in AC power or energy time series. It is based on the method presented in [1]. A boolean filter is returned @@ -411,134 +584,134 @@ def logic_clip_filter(power_ac, .. [1] Perry K., Muller, M., and Anderson K. "Performance comparison of clipping detection techniques in AC power time series", 2021 IEEE 48th Photovoltaic Specialists Conference (PVSC). DOI: 10.1109/PVSC43889.2021.9518733. - ''' - # Throw a warning that this is still an experimental filter - warnings.warn("The logic-based filter is an experimental clipping filter " - "that is still under development. The API, results, and " - "default behaviors may change in future releases (including " - "MINOR and PATCH). Use at your own risk!") + """ + # Throw a warning that this is still an experimental filter. (Removed for 3.0.0) + # warnings.warn("The logic-based filter is an experimental clipping filter " + # "that is still under development. The API, results, and " + # "default behaviors may change in future releases (including " + # "MINOR and PATCH). Use at your own risk!") # Format the time series - power_ac, index_name = _format_clipping_time_series(power_ac, - mounting_type) + power_ac, index_name = _format_clipping_time_series(power_ac, mounting_type) # Test if the data sampling frequency is variable, and flag it if the time # series sampling frequency is less than 95% consistent. _check_data_sampling_frequency(power_ac) # Get the sampling frequency of the time series time_series_sampling_frequency = ( - power_ac.index.to_series().diff() / pd.Timedelta('60s') + power_ac.index.to_series().diff() / pd.Timedelta("60s") ).mode()[0] # Make copies of the original inputs for the cases that the data is # changes for clipping evaluation original_time_series_sampling_frequency = time_series_sampling_frequency power_ac_copy = power_ac.copy() # Drop duplicate indices - power_ac = power_ac.reset_index().drop_duplicates( - subset=power_ac.index.name, - keep='first').set_index(power_ac.index.name) - freq_string = str(time_series_sampling_frequency) + 'T' + power_ac = ( + power_ac.reset_index() + .drop_duplicates(subset=power_ac.index.name, keep="first") + .set_index(power_ac.index.name) + ) + freq_string = str(time_series_sampling_frequency) + "T" # Set days with the majority of frozen data to null. - daily_std = power_ac.resample('D').std() / power_ac.resample('D').mean() - power_ac['daily_std'] = daily_std.reindex(index=power_ac.index, - method='ffill') - power_ac.loc[power_ac['daily_std'] < 0.1, - 'value'] = np.nan - power_ac.drop('daily_std', - axis=1, - inplace=True) - power_cleaned = power_ac['value'].copy() - power_cleaned = power_cleaned.reindex(power_ac_copy.index, - fill_value=np.nan) + daily_std = power_ac.resample("D").std() / power_ac.resample("D").mean() + power_ac["daily_std"] = daily_std.reindex(index=power_ac.index, method="ffill") + power_ac.loc[power_ac["daily_std"] < 0.1, "value"] = np.nan + power_ac.drop("daily_std", axis=1, inplace=True) + power_cleaned = power_ac["value"].copy() + power_cleaned = power_cleaned.reindex(power_ac_copy.index, fill_value=np.nan) # High frequency data (less than 10 minutes) has demonstrated # potential to have more noise than low frequency data. # Therefore, the data is resampled to a 15-minute median # before running the filter. if time_series_sampling_frequency >= 10: - power_ac = rdtools.normalization.interpolate(power_ac, - freq_string) + power_ac = rdtools.normalization.interpolate(power_ac, freq_string) else: - power_ac = power_ac.resample('15T').median() + power_ac = power_ac.resample("15T").median() time_series_sampling_frequency = 15 # If a value for roll_periods is not designated, the function uses # the current default logic to set the roll_periods value. if roll_periods is None: - if (mounting_type == "single_axis_tracking") & \ - (time_series_sampling_frequency < 30): + if (mounting_type == "single_axis_tracking") & ( + time_series_sampling_frequency < 30 + ): roll_periods = 5 else: roll_periods = 3 # Replace the lower 10% of daily data with NaN's - daily = 0.1 * power_ac.resample('D').max() - power_ac['ten_percent_daily'] = daily.reindex(index=power_ac.index, - method='ffill') - power_ac.loc[power_ac['value'] < power_ac['ten_percent_daily'], - 'value'] = np.nan - power_ac = power_ac['value'] + daily = 0.1 * power_ac.resample("D").max() + power_ac["ten_percent_daily"] = daily.reindex(index=power_ac.index, method="ffill") + power_ac.loc[power_ac["value"] < power_ac["ten_percent_daily"], "value"] = np.nan + power_ac = power_ac["value"] # Calculate the maximum rolling range for the time series. rolling_range_max = _calculate_max_rolling_range(power_ac, roll_periods) # Determine clipping values based on the maximum rolling range in # the rolling window, and the user-specified rolling range threshold - roll_clip_mask = (rolling_range_max < rolling_range_max_cutoff) + roll_clip_mask = rolling_range_max < rolling_range_max_cutoff # Set values within roll_periods values from a True instance # as True as well - clipping = (roll_clip_mask.rolling(roll_periods).sum() >= 1) + clipping = roll_clip_mask.rolling(roll_periods).sum() >= 1 # High frequency was resampled to 15-minute average data. # The following lines apply the 15-minute clipping filter to the # original 15-minute data resulting in a clipping filter on the original # data. - if (original_time_series_sampling_frequency < 10): - clipping = clipping.reindex(index=power_ac_copy.index, - method='ffill') + if original_time_series_sampling_frequency < 10: + clipping = clipping.reindex(index=power_ac_copy.index, method="ffill") # Subset the series where clipping filter == True clip_pwr = power_ac_copy[clipping] - clip_pwr = clip_pwr.reindex(index=power_ac_copy.index, - fill_value=np.nan) + clip_pwr = clip_pwr.reindex(index=power_ac_copy.index, fill_value=np.nan) # Set any values within the clipping max + clipping min threshold # as clipping. This is done specifically for capturing the noise # for high frequency data sets. - daily_mean = clip_pwr.resample('D').mean() - df_daily = daily_mean.to_frame(name='mean') - df_daily['clipping_max'] = clip_pwr.groupby(pd.Grouper(freq='D') - ).quantile(0.99) - df_daily['clipping_min'] = clip_pwr.groupby(pd.Grouper(freq='D') - ).quantile(0.075) - daily_clipping_max = df_daily['clipping_max'].reindex( - index=power_ac_copy.index, method='ffill') - daily_clipping_min = df_daily['clipping_min'].reindex( - index=power_ac_copy.index, method='ffill') + daily_mean = clip_pwr.resample("D").mean() + df_daily = daily_mean.to_frame(name="mean") + df_daily["clipping_max"] = clip_pwr.groupby(pd.Grouper(freq="D")).quantile(0.99) + df_daily["clipping_min"] = clip_pwr.groupby(pd.Grouper(freq="D")).quantile( + 0.075 + ) + daily_clipping_max = df_daily["clipping_max"].reindex( + index=power_ac_copy.index, method="ffill" + ) + daily_clipping_min = df_daily["clipping_min"].reindex( + index=power_ac_copy.index, method="ffill" + ) else: # Find the maximum and minimum power_ac level where clipping is # detected each day. - clipping = clipping.reindex(index=power_ac_copy.index, - method='ffill') + clipping = clipping.reindex(index=power_ac_copy.index, method="ffill") clip_pwr = power_ac_copy[clipping] - clip_pwr = clip_pwr.reindex(index=power_ac_copy.index, - fill_value=np.nan) - daily_clipping_max = clip_pwr.resample('D').max() - daily_clipping_min = clip_pwr.resample('D').min() + clip_pwr = clip_pwr.reindex(index=power_ac_copy.index, fill_value=np.nan) + daily_clipping_max = clip_pwr.resample("D").max() + daily_clipping_min = clip_pwr.resample("D").min() daily_clipping_min = daily_clipping_min.reindex( - index=power_ac_copy.index, method='ffill') + index=power_ac_copy.index, method="ffill" + ) daily_clipping_max = daily_clipping_max.reindex( - index=power_ac_copy.index, method='ffill') + index=power_ac_copy.index, method="ffill" + ) # Set all values to clipping that are between the maximum and minimum # power_ac levels where clipping was found on a daily basis. - clipping_difference = (daily_clipping_max - - daily_clipping_min)/daily_clipping_max - final_clip = ((daily_clipping_min <= power_ac_copy) & - (power_ac_copy <= daily_clipping_max) & - (clipping_difference <= 0.025)) \ - | ((power_ac_copy <= daily_clipping_max*1.0025) & - (power_ac_copy >= daily_clipping_max*0.9975) & - (clipping_difference > 0.025))\ - | ((power_ac_copy <= daily_clipping_min*1.0025) & - (power_ac_copy >= daily_clipping_min*0.9975) & - (clipping_difference > 0.025)) - final_clip = final_clip.reindex(index=power_ac_copy.index, - fill_value=False) + clipping_difference = (daily_clipping_max - daily_clipping_min) / daily_clipping_max + final_clip = ( + ( + (daily_clipping_min <= power_ac_copy) + & (power_ac_copy <= daily_clipping_max) + & (clipping_difference <= 0.025) + ) + | ( + (power_ac_copy <= daily_clipping_max * 1.0025) + & (power_ac_copy >= daily_clipping_max * 0.9975) + & (clipping_difference > 0.025) + ) + | ( + (power_ac_copy <= daily_clipping_min * 1.0025) + & (power_ac_copy >= daily_clipping_min * 0.9975) + & (clipping_difference > 0.025) + ) + ) + final_clip = final_clip.reindex(index=power_ac_copy.index, fill_value=False) # Check for an overall clipping threshold that should apply to all data clip_power_ac = power_ac_copy[final_clip] - final_clip = _apply_overall_clipping_threshold(power_cleaned, - final_clip, - clip_power_ac) + final_clip = _apply_overall_clipping_threshold( + power_cleaned, final_clip, clip_power_ac + ) return ~final_clip @@ -561,58 +734,68 @@ def _calculate_xgboost_model_features(df, sampling_frequency): model. """ # Min-max normalize - max_min_diff = (df['value'].max() - df['value'].min()) - df['scaled_value'] = (df['value'] - df['value'].min()) / max_min_diff + max_min_diff = df["value"].max() - df["value"].min() + df["scaled_value"] = (df["value"] - df["value"].min()) / max_min_diff if sampling_frequency < 10: rolling_window = 5 elif (sampling_frequency >= 10) and (sampling_frequency < 60): rolling_window = 3 else: rolling_window = 2 - df['rolling_average'] = df['scaled_value']\ - .rolling(window=rolling_window, center=True).mean() + df["rolling_average"] = ( + df["scaled_value"].rolling(window=rolling_window, center=True).mean() + ) # First-order derivative - df['first_order_derivative_backward'] = df.scaled_value.diff() - df['first_order_derivative_forward'] = df.scaled_value.shift(-1).diff() + df["first_order_derivative_backward"] = df.scaled_value.diff() + df["first_order_derivative_forward"] = df.scaled_value.shift(-1).diff() # First order derivative for the rolling average - df['first_order_derivative_backward_rolling_avg'] = \ - df.rolling_average.diff() - df['first_order_derivative_forward_rolling_avg'] = \ - df.rolling_average.shift(-1).diff() + df["first_order_derivative_backward_rolling_avg"] = df.rolling_average.diff() + df["first_order_derivative_forward_rolling_avg"] = df.rolling_average.shift( + -1 + ).diff() # Calculate the maximum rolling range for the power or energy time series. - df['deriv_max'] = _calculate_max_rolling_range( - power_ac=df['scaled_value'], roll_periods=rolling_window) + df["deriv_max"] = _calculate_max_rolling_range( + power_ac=df["scaled_value"], roll_periods=rolling_window + ) # Get the max value for the day and see how each value compares - df['date'] = list(pd.to_datetime(pd.Series(df.index)).dt.date) - df['daily_max'] = df.groupby(['date'])['scaled_value'].transform(max) + df["date"] = list(pd.to_datetime(pd.Series(df.index)).dt.date) + df["daily_max"] = df.groupby(["date"])["scaled_value"].transform(max) # Get percentage of daily max - df['percent_daily_max'] = df['scaled_value'] / (df['daily_max'] + .00001) + df["percent_daily_max"] = df["scaled_value"] / (df["daily_max"] + 0.00001) # Get the standard deviation, median and mean of the first order # derivative over the rolling_window period - df['deriv_backward_rolling_stdev'] = \ - df['first_order_derivative_backward']\ - .rolling(window=rolling_window, center=True).std() - df['deriv_backward_rolling_mean'] = \ - df['first_order_derivative_backward']\ - .rolling(window=rolling_window, center=True).mean() - df['deriv_backward_rolling_median'] = \ - df['first_order_derivative_backward']\ - .rolling(window=rolling_window, center=True).median() - df['deriv_backward_rolling_max'] = \ - df['first_order_derivative_backward']\ - .rolling(window=rolling_window, center=True).max() - df['deriv_backward_rolling_min'] = \ - df['first_order_derivative_backward']\ - .rolling(window=rolling_window, center=True).min() + df["deriv_backward_rolling_stdev"] = ( + df["first_order_derivative_backward"] + .rolling(window=rolling_window, center=True) + .std() + ) + df["deriv_backward_rolling_mean"] = ( + df["first_order_derivative_backward"] + .rolling(window=rolling_window, center=True) + .mean() + ) + df["deriv_backward_rolling_median"] = ( + df["first_order_derivative_backward"] + .rolling(window=rolling_window, center=True) + .median() + ) + df["deriv_backward_rolling_max"] = ( + df["first_order_derivative_backward"] + .rolling(window=rolling_window, center=True) + .max() + ) + df["deriv_backward_rolling_min"] = ( + df["first_order_derivative_backward"] + .rolling(window=rolling_window, center=True) + .min() + ) return df -def xgboost_clip_filter(power_ac, - mounting_type='fixed'): +def xgboost_clip_filter(power_ac, mounting_type="fixed"): """ - This function generates the features to run through the XGBoost - clipping model, runs the data through the model, and generates - model outputs. + This filter uses and XGBoost model to filter out + clipping periods in AC power or energy time series. Parameters ---------- @@ -639,107 +822,302 @@ def xgboost_clip_filter(power_ac, Specialists Conference (PVSC). DOI: 10.1109/PVSC43889.2021.9518733. """ # Throw a warning that this is still an experimental filter - warnings.warn("The XGBoost filter is an experimental clipping filter " - "that is still under development. The API, results, and " - "default behaviors may change in future releases (including " - "MINOR and PATCH). Use at your own risk!") + warnings.warn( + "The XGBoost filter is an experimental clipping filter " + "that is still under development. The API, results, and " + "default behaviors may change in future releases (including " + "MINOR and PATCH). Use at your own risk!" + ) # Load in the XGBoost model xgboost_clipping_model = _load_xgboost_clipping_model() # Format the power or energy time series - power_ac, index_name = _format_clipping_time_series(power_ac, - mounting_type) + power_ac, index_name = _format_clipping_time_series(power_ac, mounting_type) # Test if the data sampling frequency is variable, and flag it if the time # series sampling frequency is less than 95% consistent. _check_data_sampling_frequency(power_ac) # Get the most common sampling frequency - sampling_frequency = int((power_ac.index.to_series().diff() / pd.Timedelta('60s')).mode()[0]) + sampling_frequency = int( + (power_ac.index.to_series().diff() / pd.Timedelta("60s")).mode()[0] + ) freq_string = str(sampling_frequency) + "T" # Min-max normalize # Resample the series based on the most common sampling frequency - power_ac_interpolated = rdtools.normalization.interpolate(power_ac, - freq_string) + power_ac_interpolated = rdtools.normalization.interpolate(power_ac, freq_string) # Convert the Pandas series to a dataframe. power_ac_df = power_ac_interpolated.to_frame() # Get the sampling frequency (as a continuous feature variable) - power_ac_df['sampling_frequency'] = sampling_frequency + power_ac_df["sampling_frequency"] = sampling_frequency # If the data sampling frequency of the series is more frequent than # once every five minute, resample at 5-minute intervals before # plugging into the model if sampling_frequency < 5: - power_ac_df = power_ac_df.resample('5T').mean() - power_ac_df['sampling_frequency'] = 5 + power_ac_df = power_ac_df.resample("5T").mean() + power_ac_df["sampling_frequency"] = 5 # Add mounting type as a column - power_ac_df['mounting_config'] = mounting_type + power_ac_df["mounting_config"] = mounting_type # Generate the features for the model. - power_ac_df = _calculate_xgboost_model_features(power_ac_df, - sampling_frequency) + power_ac_df = _calculate_xgboost_model_features(power_ac_df, sampling_frequency) # Convert single-axis tracking/fixed tilt to a boolean variable - power_ac_df.loc[power_ac_df['mounting_config'] == "single_axis_tracking", - 'mounting_config_bool'] = 1 - power_ac_df.loc[power_ac_df['mounting_config'] == 'fixed', - 'mounting_config_bool'] = 0 + power_ac_df.loc[ + power_ac_df["mounting_config"] == "single_axis_tracking", "mounting_config_bool" + ] = 1 + power_ac_df.loc[ + power_ac_df["mounting_config"] == "fixed", "mounting_config_bool" + ] = 0 # Subset the dataframe to only include model inputs - power_ac_df = power_ac_df[['first_order_derivative_backward', - 'first_order_derivative_forward', - 'first_order_derivative_backward_rolling_avg', - 'first_order_derivative_forward_rolling_avg', - 'sampling_frequency', - 'mounting_config_bool', 'scaled_value', - 'rolling_average', 'daily_max', - 'percent_daily_max', 'deriv_max', - 'deriv_backward_rolling_stdev', - 'deriv_backward_rolling_mean', - 'deriv_backward_rolling_median', - 'deriv_backward_rolling_min', - 'deriv_backward_rolling_max']].dropna() + power_ac_df = power_ac_df[ + [ + "first_order_derivative_backward", + "first_order_derivative_forward", + "first_order_derivative_backward_rolling_avg", + "first_order_derivative_forward_rolling_avg", + "sampling_frequency", + "mounting_config_bool", + "scaled_value", + "rolling_average", + "daily_max", + "percent_daily_max", + "deriv_max", + "deriv_backward_rolling_stdev", + "deriv_backward_rolling_mean", + "deriv_backward_rolling_median", + "deriv_backward_rolling_min", + "deriv_backward_rolling_max", + ] + ].dropna() # Run the power_ac_df dataframe through the XGBoost ML model, # and return boolean outputs - xgb_predictions = pd.Series(xgboost_clipping_model.predict( - power_ac_df).astype(bool)) + xgb_predictions = pd.Series( + xgboost_clipping_model.predict(power_ac_df).astype(bool) + ) # Add datetime as an index xgb_predictions.index = power_ac_df.index # Reindex with the original data index. Re-adjusts to original # data frequency. - xgb_predictions = xgb_predictions.reindex(index=power_ac.index, - method='ffill') + xgb_predictions = xgb_predictions.reindex(index=power_ac.index, method="ffill") xgb_predictions = xgb_predictions.fillna(False) # Regenerate the features with the original sampling frequency # (pre-resampling or interpolation). power_ac_df = power_ac.to_frame() - power_ac_df = _calculate_xgboost_model_features(power_ac_df, - sampling_frequency) + power_ac_df = _calculate_xgboost_model_features(power_ac_df, sampling_frequency) # Add back in XGB predictions for the original dataframe - power_ac_df['xgb_predictions'] = xgb_predictions.astype(bool) - power_ac_df_clipping = power_ac_df[power_ac_df['xgb_predictions'] - .fillna(False)] + power_ac_df["xgb_predictions"] = xgb_predictions.astype(bool) + power_ac_df_clipping = power_ac_df[power_ac_df["xgb_predictions"].fillna(False)] # Make everything between the # max and min values found for clipping each day as clipping. - power_ac_df_clipping_max = power_ac_df_clipping['scaled_value']\ - .resample('D').max() - power_ac_df_clipping_min = power_ac_df_clipping['scaled_value']\ - .resample('D').min() - power_ac_df['daily_clipping_min'] = power_ac_df_clipping_min.reindex( - index=power_ac_df.index, method='ffill') - power_ac_df['daily_clipping_max'] = power_ac_df_clipping_max.reindex( - index=power_ac_df.index, method='ffill') + power_ac_df_clipping_max = power_ac_df_clipping["scaled_value"].resample("D").max() + power_ac_df_clipping_min = power_ac_df_clipping["scaled_value"].resample("D").min() + power_ac_df["daily_clipping_min"] = power_ac_df_clipping_min.reindex( + index=power_ac_df.index, method="ffill" + ) + power_ac_df["daily_clipping_max"] = power_ac_df_clipping_max.reindex( + index=power_ac_df.index, method="ffill" + ) if sampling_frequency < 5: - power_ac_df['daily_clipping_max_threshold'] = \ - (power_ac_df['daily_clipping_max'] * .96) - power_ac_df['clipping cutoff'] = \ - power_ac_df[['daily_clipping_min', - 'daily_clipping_max_threshold']].max(axis=1) - final_clip = ((power_ac_df['clipping cutoff'] <= - power_ac_df['scaled_value']) - & (power_ac_df['percent_daily_max'] >= .9) - & (power_ac_df['scaled_value'] <= - power_ac_df['daily_clipping_max'] * 1.0025) - & (power_ac_df['scaled_value'] >= .1)) + power_ac_df["daily_clipping_max_threshold"] = ( + power_ac_df["daily_clipping_max"] * 0.96 + ) + power_ac_df["clipping cutoff"] = power_ac_df[ + ["daily_clipping_min", "daily_clipping_max_threshold"] + ].max(axis=1) + final_clip = ( + (power_ac_df["clipping cutoff"] <= power_ac_df["scaled_value"]) + & (power_ac_df["percent_daily_max"] >= 0.9) + & ( + power_ac_df["scaled_value"] + <= power_ac_df["daily_clipping_max"] * 1.0025 + ) + & (power_ac_df["scaled_value"] >= 0.1) + ) else: - final_clip = ((power_ac_df['daily_clipping_min'] <= - power_ac_df['scaled_value']) - & (power_ac_df['percent_daily_max'] >= .95) - & (power_ac_df['scaled_value'] <= - power_ac_df['daily_clipping_max'] * 1.0025) - & (power_ac_df['scaled_value'] >= .1)) + final_clip = ( + (power_ac_df["daily_clipping_min"] <= power_ac_df["scaled_value"]) + & (power_ac_df["percent_daily_max"] >= 0.95) + & ( + power_ac_df["scaled_value"] + <= power_ac_df["daily_clipping_max"] * 1.0025 + ) + & (power_ac_df["scaled_value"] >= 0.1) + ) final_clip = final_clip.reindex(index=power_ac.index, fill_value=False) return ~(final_clip.astype(bool)) + + +def two_way_window_filter( + series, roll_period=pd.to_timedelta("7 Days"), outlier_threshold=0.03 +): + """ + Removes anomalies based on forward and backward window of the rolling median. Points beyond + outlier_threshold from both the forward and backward-looking median are excluded by the filter. + + Parameters + ---------- + series: pandas.Series + Pandas time series to be filtered. + roll_period : int or timedelta, default 7 days + The window to use for backward and forward + rolling medians for detecting outliers. + outlier_threshold : default is 0.03 meaning 3% + + Returns + ------- + pandas.Series + Boolean Series excluding anomalies + """ + + series = series / series.quantile(0.99) + backward_median = series.rolling(roll_period, min_periods=5, closed="both").median() + forward_median = ( + series.loc[::-1].rolling(roll_period, min_periods=5, closed="both").median() + ) + + backward_dif = abs(series - backward_median) + forward_dif = abs(series - forward_median) + + # This is a change from Matt's original logic, which can exclude + # points with a NaN median + backward_dif.fillna(0, inplace=True) + forward_dif.fillna(0, inplace=True) + + dif_min = backward_dif.combine(forward_dif, min, 0) + + mask = dif_min < outlier_threshold + + return mask + + +def insolation_filter(insolation, quantile=0.1): + """ + A simple quantile filter. Primary application in RdTools is to exclude + low insolation points after the aggregation step. + + Parameters + ---------- + insolation: pandas.Series + Pandas time series to be filtered. Usually insolation. + quantile : float, default 0.1 + the minimum quantile above which data is kept. + + Returns + ------- + pandas.Series + Boolean Series excluding points below the quantile threshold + """ + + limit = insolation.quantile(quantile) + mask = insolation >= limit + return mask + + +def hampel_filter(series, k="14d", t0=3): + """ + Hampel outlier filter primarily applied after aggregation step, but broadly + applicable. + + Parameters + ---------- + series : pandas.Series + daily normalized time series + k : int or time offset string e.g. 'd', default 14d + size of window including the sample; 14d is equal to 7 days on either + side of value + t0 : int, default 3 + Threshold value, defaults to 3 sigma Pearson's rule. + Returns + ------- + pandas.Series + Boolean Series of whether the given measurement is within t0 sigma of the + rolling median. False points indicate outliers to be excluded. + """ + # Hampel Filter + L = 1.4826 + rolling_median = series.rolling(k, center=True, min_periods=1).median() + difference = np.abs(rolling_median - series) + median_abs_deviation = difference.rolling(k, center=True, min_periods=1).median() + threshold = t0 * L * median_abs_deviation + return difference <= threshold + + +def _tukey_fence(series, k=1.5): + "Calculates the upper and lower tukey fences from a pandas series" + p25 = series.quantile(0.25) + p75 = series.quantile(0.75) + iqr = p75 - p25 + upper_fence = k * iqr + p75 + lower_fence = p25 - 1.5 * iqr + return lower_fence, upper_fence + + +def directional_tukey_filter(series, roll_period=pd.to_timedelta("7 Days"), k=1.5): + """ + Performs a forward and backward looking rolling Tukey filter. Points more than k*IQR + above the third quartile or below the first quartile are classified as outliers.Points + must only pass one of either the forward or backward looking filters to be kept. + + + Parameters + ---------- + series: pandas.Series + Pandas time series to be filtered. + roll_period : int or timedelta, default 7 days + The window to use for backward and forward + rolling medians for detecting outliers. + k : float + The Tukey parameter. Points more than k*IQR above the third quartile + or below the first quartile are classified as outliers. + + Returns + ------- + pandas.Series + Boolean Series excluding anomalies + """ + + backward_median = series.rolling(roll_period, min_periods=5, closed="both").median() + forward_median = ( + series.loc[::-1].rolling(roll_period, min_periods=5, closed="both").median() + ) + backward_dif = series - backward_median + forward_dif = series - forward_median + + backward_dif_lower, backward_dif_upper = _tukey_fence(backward_dif, k) + forward_dif_lower, forward_dif_upper = _tukey_fence(forward_dif, k) + + mask = ((forward_dif > forward_dif_lower) & (forward_dif < forward_dif_upper)) | ( + (backward_dif > backward_dif_lower) & (backward_dif < backward_dif_upper) + ) + return mask + + +def hour_angle_filter(series, lat, lon, min_hour_angle=-30, max_hour_angle=30): + """ + Creates a filter based on the hour angle of the sun (15 degrees per hour) + + Parameters + ---------- + series: pandas.Series + Pandas time series to be filtered + lat: float + location latitude + lon: float + location longitude + min_hour_angle: float + minimum hour angle to include + max_hour_angle: float + maximum hour angle to include + + Returns + ------- + pandas.Series + Boolean Series excluding points outside the specified hour + angle range + + """ + + times = series.index + spa = pvlib.solarposition.get_solarposition(times, lat, lon) + eot = spa["equation_of_time"] + hour_angle = pvlib.solarposition.hour_angle(times, lon, eot) + hour_angle = pd.Series(hour_angle, index=times) + mask = (hour_angle >= min_hour_angle) & (hour_angle <= max_hour_angle) + + return mask diff --git a/rdtools/normalization.py b/rdtools/normalization.py index 8629c2373..2509cd330 100644 --- a/rdtools/normalization.py +++ b/rdtools/normalization.py @@ -1,7 +1,6 @@ '''Functions for normalizing, rescaling, and regularizing PV system data.''' import pandas as pd -import pvlib import numpy as np from scipy.optimize import minimize import warnings @@ -176,138 +175,6 @@ def normalize_with_pvwatts(energy, pvwatts_kws): return energy_normalized, insolation -@deprecated(since='2.0.0', removal='3.0.0', - alternative='normalize_with_expected_power') -def sapm_dc_power(pvlib_pvsystem, met_data): - ''' - Use Sandia Array Performance Model (SAPM) and PVWatts to compute the - effective DC power using measured irradiance, ambient temperature, and wind - speed. Effective irradiance and cell temperature are calculated with SAPM, - and DC power with PVWatts. - - .. warning:: - The ``pvlib_pvsystem`` argument must be a ``pvlib.pvsystem.LocalizedPVSystem`` - object, which is no longer available as of pvlib 0.9.0. To use this function - you'll need to use an older version of pvlib. - - Parameters - ---------- - pvlib_pvsystem : pvlib.pvsystem.LocalizedPVSystem - Object contains orientation, geographic coordinates, equipment - constants (including DC rated power in watts). The object must also - specify either the ``temperature_model_parameters`` attribute or both - ``racking_model`` and ``module_type`` attributes to infer the temperature model parameters. - met_data : pandas.DataFrame - Measured irradiance components, ambient temperature, and wind speed. - Expected met_data DataFrame column names: - ['DNI', 'GHI', 'DHI', 'Temperature', 'Wind Speed'] - - Note - ---- - All series are assumed to be right-labeled, meaning that the recorded - value at a given timestamp refers to the previous time interval - - Returns - ------- - power_dc : pandas.Series - DC power in watts derived using Sandia Array Performance Model and - PVWatts. - effective_poa : pandas.Series - Effective irradiance calculated with SAPM - ''' - - solar_position = pvlib_pvsystem.get_solarposition(met_data.index) - - total_irradiance = pvlib_pvsystem\ - .get_irradiance(solar_position['zenith'], - solar_position['azimuth'], - met_data['DNI'], - met_data['GHI'], - met_data['DHI']) - - aoi = pvlib_pvsystem.get_aoi(solar_position['zenith'], - solar_position['azimuth']) - - airmass = pvlib_pvsystem\ - .get_airmass(solar_position=solar_position, model='kastenyoung1989') - airmass_absolute = airmass['airmass_absolute'] - - effective_irradiance = pvlib.pvsystem\ - .sapm_effective_irradiance(poa_direct=total_irradiance['poa_direct'], - poa_diffuse=total_irradiance['poa_diffuse'], - airmass_absolute=airmass_absolute, - aoi=aoi, - module=pvlib_pvsystem.module) - - temp_cell = pvlib_pvsystem\ - .sapm_celltemp(total_irradiance['poa_global'], - met_data['Temperature'], - met_data['Wind Speed']) - - power_dc = pvlib_pvsystem\ - .pvwatts_dc(g_poa_effective=effective_irradiance, - temp_cell=temp_cell) - - return power_dc, effective_irradiance - - -@deprecated(since='2.0.0', removal='3.0.0', - alternative='normalize_with_expected_power') -def normalize_with_sapm(energy, sapm_kws): - ''' - Normalize system AC energy output given measured met_data and - meteorological data. This method relies on the Sandia Array Performance - Model (SAPM) to compute the effective DC energy using measured irradiance, - ambient temperature, and wind speed. - - Energy timeseries and met_data timeseries can be different granularities. - - .. warning:: - The ``pvlib_pvsystem`` argument must be a ``pvlib.pvsystem.LocalizedPVSystem`` - object, which is no longer available as of pvlib 0.9.0. To use this function - you'll need to use an older version of pvlib. - - Parameters - ---------- - energy : pandas.Series - Energy time series to be normalized in watt hours. - Must be a right-labeled regular time series. - sapm_kws : dict - Dictionary of parameters required for sapm_dc_power function. See - Other Parameters. - - Other Parameters - --------------- - pvlib_pvsystem : pvlib.pvsystem.LocalizedPVSystem object - Object contains orientation, geographic coordinates, equipment - constants (including DC rated power in watts). The object must also - specify either the ``temperature_model_parameters`` attribute or both - ``racking_model`` and ``module_type`` to infer the model parameters. - met_data : pandas.DataFrame - Measured met_data, ambient temperature, and wind speed. Expected - column names are ['DNI', 'GHI', 'DHI', 'Temperature', 'Wind Speed'] - - Note - ---- - All series are assumed to be right-labeled, meaning that the recorded - value at a given timestamp refers to the previous time interval - - Returns - ------- - energy_normalized : pandas.Series - Energy divided by Sandia Model DC energy. - insolation : pandas.Series - Insolation associated with each normalized point - ''' - - power_dc, irrad = sapm_dc_power(**sapm_kws) - - energy_normalized, insolation = normalize_with_expected_power(energy, power_dc, irrad, - pv_input='energy') - - return energy_normalized, insolation - - def _delta_index(series): ''' Takes a pandas series with a DatetimeIndex as input and diff --git a/rdtools/plotting.py b/rdtools/plotting.py index 0f3d69965..cb86329e3 100644 --- a/rdtools/plotting.py +++ b/rdtools/plotting.py @@ -51,9 +51,12 @@ def degradation_summary_plots(yoy_rd, yoy_ci, yoy_info, normalized_yield, scatter_alpha : float, default 0.5 Transparency of the scatter plot detailed : bool, optional - Color code points by the number of times they get used in calculating - Rd slopes. Default color: 2 times (as a start and endpoint). Green: - 1 time. Red: 0 times. + Include extra information in the returned figure: + + * Color code points by the number of times they get used in calculating + Rd slopes. Default color: 2 times (as a start and endpoint). Green: + 1 time. Red: 0 times. + * The number of year-on-year slopes contributing to the histogram. Note ---- @@ -96,7 +99,11 @@ def degradation_summary_plots(yoy_rd, yoy_ci, yoy_info, normalized_yield, 'confidence interval: \n' '%.2f to %.2f %%/yr' % (yoy_rd, yoy_ci[0], yoy_ci[1]) ) - ax2.annotate(label, xy=(0.5, 0.7), xycoords='axes fraction', + if detailed: + n = yoy_values.notnull().sum() + label += '\n' + f'n = {n}' + + ax2.annotate(label, xy=(0.5, 0.6), xycoords='axes fraction', bbox=dict(facecolor='white', edgecolor=None, alpha=0)) ax2.set_xlabel('Annual degradation (%)') @@ -431,3 +438,76 @@ def availability_summary_plots(power_system, power_subsystem, loss_total, ax4.legend() ax4.set_ylabel('Cumulative Energy [kWh]') return fig + + +def degradation_timeseries_plot(yoy_info, rolling_days=365, include_ci=True, + fig=None, plot_color=None, ci_color=None, **kwargs): + ''' + Plot resampled time series of degradation trend with time + + Parameters + ---------- + yoy_info : dict + a dictionary with keys: + + * YoY_values - pandas series of right-labeled year on year slopes + rolling_days: int, default 365 + Number of days for rolling window. Note that the window must contain + at least 50% of datapoints to be included in rolling plot. + include_ci : bool, default True + calculate and plot 2-sigma confidence intervals along with rolling median + fig : matplotlib, optional + fig object to add new plot to (first set of axes only) + plot_color : str, optional + color of the timeseries trendline + ci_color : str, optional + color of the confidence interval 'fuzz' + kwargs : + Extra parameters passed to matplotlib.pyplot.axis.plot() + + Note + ---- + It should be noted that ``yoy_info`` is an output + from :py:func:`rdtools.degradation.degradation_year_on_year`. + + Returns + ------- + matplotlib.figure.Figure + ''' + + def _bootstrap(x, percentile, reps): + # stolen from degradation_year_on_year + n1 = len(x) + xb1 = np.random.choice(x, (n1, reps), replace=True) + mb1 = np.nanmedian(xb1, axis=0) + return np.percentile(mb1, percentile) + + try: + results_values = yoy_info['YoY_values'] + + except KeyError: + raise KeyError("yoy_info input dictionary does not contain key `YoY_values`.") + + if plot_color is None: + plot_color = 'tab:orange' + if ci_color is None: + ci_color = 'C0' + + roller = results_values.rolling(f'{rolling_days}d', min_periods=rolling_days//2) + # unfortunately it seems that you can't return multiple values in the rolling.apply() kernel. + # TODO: figure out some workaround to return both percentiles in a single pass + if include_ci: + ci_lower = roller.apply(_bootstrap, kwargs={'percentile': 2.5, 'reps': 100}, raw=True) + ci_upper = roller.apply(_bootstrap, kwargs={'percentile': 97.5, 'reps': 100}, raw=True) + if fig is None: + fig, ax = plt.subplots() + else: + ax = fig.axes[0] + if include_ci: + ax.fill_between(ci_lower.index, ci_lower, ci_upper, color=ci_color) + ax.plot(roller.median(), color=plot_color, **kwargs) + ax.axhline(results_values.median(), c='k', ls='--') + plt.ylabel('Degradation trend (%/yr)') + fig.autofmt_xdate() + + return fig diff --git a/rdtools/soiling.py b/rdtools/soiling.py index 72d792795..5e713a03d 100644 --- a/rdtools/soiling.py +++ b/rdtools/soiling.py @@ -5,11 +5,24 @@ and default behaviors may change in future releases (including MINOR and PATCH releases) as the code matures. ''' +from rdtools import degradation as RdToolsDeg +from rdtools.bootstrap import _make_time_series_bootstrap_samples import warnings + import pandas as pd import numpy as np from scipy.stats.mstats import theilslopes +from filterpy.kalman import KalmanFilter +from filterpy.common import Q_discrete_white_noise +import itertools +import bisect +import time +import sys +from statsmodels.tsa.seasonal import STL +from statsmodels.tsa.stattools import adfuller +import statsmodels.api as sm +lowess = sm.nonparametric.lowess warnings.warn( 'The soiling module is currently experimental. The API, results, ' @@ -900,18 +913,18 @@ def annual_soiling_ratios(stochastic_soiling_profiles, # Compute the insolation-weighted soiling ratio (IWSR) for each realization annual_insolation = insolation_daily.groupby( - insolation_daily.index.year).sum() + insolation_daily.index.year).sum() all_annual_weighted_sums = all_profiles_weighted.groupby( - all_profiles_weighted.index.year).sum() + all_profiles_weighted.index.year).sum() all_annual_iwsr = all_annual_weighted_sums.multiply( - 1/annual_insolation, axis=0) + 1/annual_insolation, axis=0) annual_soiling = pd.DataFrame({ 'soiling_ratio_median': all_annual_iwsr.quantile(0.5, axis=1), 'soiling_ratio_low': all_annual_iwsr.quantile( - 0.5 - confidence_level/2/100, axis=1), + 0.5 - confidence_level/2/100, axis=1), 'soiling_ratio_high': all_annual_iwsr.quantile( - 0.5 + confidence_level/2/100, axis=1), + 0.5 + confidence_level/2/100, axis=1), }) annual_soiling.index.name = 'year' annual_soiling = annual_soiling.reset_index() @@ -1052,3 +1065,1559 @@ def monthly_soiling_rates(soiling_interval_summary, min_interval_length=14, monthly_soiling_df['interval_count'] = relevant_interval_count return monthly_soiling_df + + +class CODSAnalysis(): + ''' + Container for the Combined Degradation and Soiling (CODS) algorithm + for degradation and soiling loss analysis. Based on the + method presented in [1]_. + + Parameters + ---------- + energy_normalized_daily : pandas.Series + Daily performance metric (i.e. performance index, yield, etc.) + Index must be DatetimeIndex with daily frequency + + Attributes + ---------- + pm : pandas.Series + Equals `energy_normalized_daily` + result_df : pandas.DataFrame with pandas datetimeindex + Contains the columns/keys: + + +------------------------+----------------------------------------------+ + | Column Name | Description | + +========================+==============================================+ + | 'soiling_ratio' | soiling ratio (SR) (-) | + +------------------------+----------------------------------------------+ + | 'soiling_rates' | soiling rates (1/day) | + +------------------------+----------------------------------------------+ + | 'cleaning_events' | True at cleaning events | + +------------------------+----------------------------------------------+ + | 'seasonal_component' | seasonal component (SC) | + +------------------------+----------------------------------------------+ + | 'degradation_trend' | degradation trend (Rd) | + +------------------------+----------------------------------------------+ + | 'total_model' | the total model fit, i.e. SR * SC * Rd * rs, | + | | where SR is the soiling ratio, SC is the | + | | seasonal component, Rd is the degradation | + | | trend, and rs is the residual shift, i.e. | + | | the mean of the residuals (adjusting the | + | | position of the model fit to the position of | + | | the input data) | + +------------------------+----------------------------------------------+ + | 'residuals' | The residuals of the model fit, i.e. | + | | PI / (SR * SC * Rd) | + +------------------------+----------------------------------------------+ + | 'SR_low' | lower bound of 95 % conf. interval of SR | + +------------------------+----------------------------------------------+ + | 'SR_high' | upper bound of 95 % conf. interval of SR | + +------------------------+----------------------------------------------+ + | 'rates_low' | lower bound of 95 % conf. interval of | + | | soiling rates | + +------------------------+----------------------------------------------+ + | 'rates_high' | upper bound of 95 % conf. interval of | + | | soiling rates | + +------------------------+----------------------------------------------+ + | 'bt_soiling_ratio' | Bootstrapped estimate of soiling ratio (SR) | + +------------------------+----------------------------------------------+ + | 'bt_soiling_rates' | Bootstrapped estimate of soiling rates | + +------------------------+----------------------------------------------+ + | 'seasonal_low' | lower bound of 95 % conf. interval of | + | | seasonal component (SC) | + +------------------------+----------------------------------------------+ + | 'seasonal_high' | upper bound of 95 % conf. interval of | + | | seasonal component (SC) | + +------------------------+----------------------------------------------+ + | 'model_high' | upper bound of 95 % confidence interval of | + | | the model fit | + +------------------------+----------------------------------------------+ + | 'model_low' | lower bound of 95 % confidence interval of | + | | the model fit | + +------------------------+----------------------------------------------+ + + degradation : list + List of linear degradation rate of system in %/year, lower and + upper bound of 95% confidence interval + soiling_loss : list + List of average soiling losses over the time series in %, lower and + upper bound of 95% confidence interval + residual_shift : float + Mean value of residuals. Multiply total model by this number for + complete overlap with input pi + RMSE : float + Root Means Squared Error of total model vs input pi + small_soiling_signal : bool + Whether or not the signal is deemed too small to infer anything + about it + adf_res : list + The results of an Augmented Dickey-Fuller test (telling whether the + residuals are stationary or not) + + Raises + ------ + ValueError + If the performance metrix does not have daily index frequency + + References + ---------- + .. [1] Skomedal, Å. and Deceglie, M. G., IEEE Journal of + Photovoltaics, Sept. 2020. https://doi.org/10.1109/JPHOTOV.2020.3018219 + ''' + + def __init__(self, energy_normalized_daily): + self.pm = energy_normalized_daily # daily performance metric + + if np.isnan(self.pm.iloc[0]): + first_keeper = self.pm.isna().idxmin() + self.pm = self.pm.loc[first_keeper:] + + if self.pm.index.freq != 'D': + raise ValueError('Daily performance metric series must have ' + 'daily frequency (missing dates should be ' + 'represented by NaNs)') + + def iterative_signal_decomposition( + self, order=('SR', 'SC', 'Rd'), degradation_method='YoY', + max_iterations=18, cleaning_sensitivity=.5, convergence_criterion=5e-3, + pruning_iterations=1, clean_pruning_sensitivity=.6, soiling_significance=.75, + process_noise=1e-4, renormalize_SR=None, ffill=True, clip_soiling=True, + verbose=False): + ''' + Estimates the soiling losses and the degradation rate of a PV system + based on its daily normalized energy, or daily Performance Index (PI). + The underlying assumption is that the PI + consists of a degradation trend, a seasonal component, and a soiling + signal (defined as 1 if no soiling, decreasing with increasing soiling + losses). I.e.: PI = degradation_trend * seasonal_component * soiling_ratio * + residuals, or: + + .. math:: + + PI = Rd * SC * SR * R + + The function has a heuristic for detecting whether the soiling signal is + significant enough for soiling loss inference, which is based on the + ratio between the spread in the soiling signal versus the spread in the + residuals (defined by the 2.5th and 97.5th percentiles) + + * The degradation trend is obtained using the native RdTools Year-On-Year + method [1]_. + * The seasonal component is derived with statsmodels STL [2]_. + * The soiling signal is derived with a Kalman Filter with a cleaning + detection heuristic [3]_. + + Parameters + ---------- + order : tuple, default ('SR', 'SC', 'Rd') + Tuple containing 1 to 3 of the following strings 'SR' (soiling + ratio), 'SC' (seasonal component), 'Rd' (degradation component), + defining the order in which these components will be found during + iterative decomposition + degradation_method : string, default 'YoY' + Either 'YoY' or 'STL'. If anything else, 'YoY' will be assumed. + Decides whether to use the YoY method [3] for estimating the + degradation trend (assumes linear trend), or the STL-method (does + not assume linear trend). The latter is slower. + max_iterations : int, default 18 + Max number of iterations to perform. Each iteration fits only one of the + components, so three iterations are needed to fit all three components. + cleaning_sensitivity : float, default .5 + Higher value gives lower cleaning event detection sensitivity. + Should be between 0.1 and 2 + convergence_criterion : float, default 5e-3 + the relative change in the convergence metric required for + convergence + pruning_iterations : int, default 1 + Number of iterations when pruning (removing) cleaning events + clean_pruning_sensitivity : float, default .6 + Sensitivity tuner that decides how easily a cleaning event is pruned + (removed). Larger values means a smaller chance of pruning a given event. + Should be between 0.1 and 2 + soiling_significance : float, default 0.75 + The minimum amplitude of the soiling signal relative to the amplitude of + the residuals that is considered a significant soiling signal. + process_noise : float, default 1e-4 + A Kalman Filter parameter that represents the expected amount of unmodeled + variation in the process, the process being the variation in the + performance index that is due to soiling, seasonality and degradation. + renormalize_SR : float, default None + If not none, defines the percentile for which the SR will be + normalized to, based on the SR just after cleaning events + ffill : bool, default True + Whether to use forward fill (default) or backward fill before + doing the rolling median for cleaning event detection + clip_soiling : bool, default True + Whether or not to clip the soiling ratio at max 1 and minimum 0. + verbose : bool, default False + If true, prints a progress report + + Returns + ------- + df_out : pandas.DataFrame + Dataframe that summarized the results of the iterative signal decomposition. + Contains the followig columns: + + +------------------------+----------------------------------------------+ + | Column Name | Description | + +========================+==============================================+ + | 'soiling_ratio' | soiling ratio (SR) (-) | + +------------------------+----------------------------------------------+ + | 'soiling_rates' | soiling rates (1/day) | + +------------------------+----------------------------------------------+ + | 'cleaning_events' | True at cleaning events | + +------------------------+----------------------------------------------+ + | 'seasonal_component' | seasonal component (SC) | + +------------------------+----------------------------------------------+ + | 'degradation_trend' | degradation trend (Rd) | + +------------------------+----------------------------------------------+ + | 'total_model' | the total model fit, i.e. SR * SC * Rd * rs, | + | | where SR is the soiling ratio, SC is the | + | | seasonal component, Rd is the degradation | + | | trend, and rs is the residual shift, i.e. | + | | the mean of the residuals (adjusting the | + | | position of the model fit to the position of | + | | the input data) | + +------------------------+----------------------------------------------+ + | 'residuals' | The residuals of the model fit, i.e. | + | | PI / (SR * SC * Rd) | + +------------------------+----------------------------------------------+ + + results_dict: dict + Dictionary with the following entries: + + +------------------------+----------------------------------------------+ + | Key | Description | + +========================+==============================================+ + | 'degradation' | Linear degradation rate of system in %/year | + | | (float) | + +------------------------+----------------------------------------------+ + | 'soiling_loss' | Average soiling losses over the time series | + | | in % (float) | + +------------------------+----------------------------------------------+ + | 'residual_shift' | Mean value of residuals. Multiply total | + | | model by this number for complete overlap | + | | with input pi (float) | + +------------------------+----------------------------------------------+ + | 'RMSE' | Root Means Squared Error of total model vs | + | | input pi (float) | + +------------------------+----------------------------------------------+ + | 'small_soiling_signal' | Whether or not the signal is deemed too | + | | small to infer soiling ratio (bool) | + +------------------------+----------------------------------------------+ + | 'adf_res' | The results of an Augmented Dickey-Fuller | + | | test (telling whether the residuals are | + | | stationary or not) (list) | + +------------------------+----------------------------------------------+ + + References + ---------- + .. [1] Jordan, D.C., Deline, C., Kurtz, S.R., Kimball, G.M., Anderson, M., + 2017. Robust PV Degradation Methodology and Application. IEEE J. + Photovoltaics 1–7. https://doi.org/10.1109/JPHOTOV.2017.2779779 + + .. [2] Deceglie, M.G., Micheli, L., Muller, M., 2018. Quantifying Soiling + Loss Directly from PV Yield. IEEE J. Photovoltaics 8, 547–551. + https://doi.org/10.1109/JPHOTOV.2017.2784682 + + .. [3] Skomedal, Å. and Deceglie, M. G., IEEE Journal of + Photovoltaics, Sept. 2020. https://doi.org/10.1109/JPHOTOV.2020.3018219 + ''' + pi = self.pm.copy() + if degradation_method == 'STL' and 'Rd' in order: + order = tuple([c for c in order if c != 'Rd']) + + if 'SR' not in order: + raise ValueError('\'SR\' must be in argument \'order\' ' + + '(e.g. order=[\'SR\', \'SC\', \'Rd\']') + n_steps = len(order) + day = np.arange(len(pi)) + degradation_trend = [1] + seasonal_component = [1] + soiling_ratio = [1] + soiling_dfs = [] + yoy_save = [0] + residuals = pi.copy() + residual_shift = 1 + convergence_metric = [_RMSE(pi, np.ones((len(pi),)))] + + # Find possible cleaning events based on the performance index + ce, rm9 = _rolling_median_ce_detection(pi.index, pi, ffill=ffill, + tuner=cleaning_sensitivity) + pce = _collapse_cleaning_events(ce, rm9.diff().values, 5) + + small_soiling_signal, perfect_cleaning = False, True + ic = 0 # iteration counter + + if verbose: + print('It. nr\tstep\tRMSE\ttimer') + if verbose: + print('{:}\t- \t{:.5f}'.format(ic, convergence_metric[ic])) + while ic < max_iterations: + t0 = time.time() + ic += 1 + + # Find soiling component + if order[(ic-1) % n_steps] == 'SR': + if ic > 2: # Add possible cleaning events found by considering + # the residuals + pce = soiling_dfs[-1].cleaning_events.copy() + cleaning_sensitivity *= 1.2 # decrease sensitivity + ce, rm9 = _rolling_median_ce_detection( + pi.index, residuals, ffill=ffill, + tuner=cleaning_sensitivity) + ce = _collapse_cleaning_events(ce, rm9.diff().values, 5) + pce[ce] = True + clean_pruning_sensitivity /= 1.1 # increase pruning sensitivity + + # Decompose input signal + soiling_dummy = (pi / + degradation_trend[-1] / + seasonal_component[-1] / + residual_shift) + + # Run Kalman Filter for obtaining soiling component + kdf, Ps = self._Kalman_filter_for_SR( + zs_series=soiling_dummy, + clip_soiling=clip_soiling, + prescient_cleaning_events=pce, + pruning_iterations=pruning_iterations, + clean_pruning_sensitivity=clean_pruning_sensitivity, + perfect_cleaning=perfect_cleaning, + process_noise=process_noise, + renormalize_SR=renormalize_SR) + soiling_ratio.append(kdf.soiling_ratio) + soiling_dfs.append(kdf) + + # Find seasonal component + if order[(ic-1) % n_steps] == 'SC': + season_dummy = pi / soiling_ratio[-1] # Decompose signal + if season_dummy.isna().sum() > 0: + season_dummy.interpolate('linear', inplace=True) + season_dummy = season_dummy.apply(np.log) # Log transform + # Run STL model + STL_res = STL(season_dummy, period=365, seasonal=999999, + seasonal_deg=0, trend_deg=0, + robust=True, low_pass_jump=30, seasonal_jump=30, + trend_jump=365).fit() + # Smooth result + smooth_season = lowess(STL_res.seasonal.apply(np.exp), + pi.index, is_sorted=True, delta=30, + frac=180/len(pi), return_sorted=False) + # Ensure periodic seaonal component + seasonal_comp = _force_periodicity(smooth_season, + season_dummy.index, + pi.index) + seasonal_component.append(seasonal_comp) + if degradation_method == 'STL': # If not YoY + deg_trend = pd.Series(index=pi.index, + data=STL_res.trend.apply(np.exp)) + degradation_trend.append(deg_trend / deg_trend.iloc[0]) + yoy_save.append(RdToolsDeg.degradation_year_on_year( + degradation_trend[-1], uncertainty_method=None)) + + # Find degradation component + if order[(ic-1) % n_steps] == 'Rd': + # Decompose signal + trend_dummy = (pi / + seasonal_component[-1] / + soiling_ratio[-1]) + # Run YoY + yoy = RdToolsDeg.degradation_year_on_year( + trend_dummy, uncertainty_method=None) + # Convert degradation rate to trend + degradation_trend.append(pd.Series( + index=pi.index, data=(1 + day * yoy / 100 / 365.0))) + yoy_save.append(yoy) + + # Combine and calculate residual flatness + total_model = (degradation_trend[-1] * + seasonal_component[-1] * + soiling_ratio[-1]) + residuals = pi / total_model + residual_shift = residuals.mean() + total_model *= residual_shift + convergence_metric.append(_RMSE(pi, total_model)) + + if verbose: + print('{:}\t{:}\t{:.5f}\t\t\t{:.1f} s'.format( + ic, order[(ic-1) % n_steps], convergence_metric[-1], + time.time()-t0)) + + # Convergence happens if there is no improvement in RMSE from one + # step to the next + if ic >= n_steps: + relative_improvement = ((convergence_metric[-n_steps-1] - + convergence_metric[-1]) / + convergence_metric[-n_steps-1]) + if perfect_cleaning and ( + ic >= max_iterations / 2 or + relative_improvement < convergence_criterion): + # From now on, do not assume perfect cleaning + perfect_cleaning = False + # Reorder to ensure SR first + order = tuple([order[(i+n_steps-1-(ic-1) % n_steps) % n_steps] + for i in range(n_steps)]) + change_point = ic + if verbose: + print('Now not assuming perfect cleaning') + elif (not perfect_cleaning and + (ic >= max_iterations or + (ic >= change_point + n_steps and + relative_improvement < + convergence_criterion))): + if verbose: + if relative_improvement < convergence_criterion: + print('Convergence reached.') + else: + print('Max iterations reached.') + ic = max_iterations + + # Initialize output DataFrame + df_out = pd.DataFrame(index=pi.index, + columns=['soiling_ratio', 'soiling_rates', + 'cleaning_events', 'seasonal_component', + 'degradation_trend', 'total_model', + 'residuals']) + + # Save values + df_out.seasonal_component = seasonal_component[-1] + df_out.degradation_trend = degradation_trend[-1] + degradation = yoy_save[-1] + final_kdf = soiling_dfs[-1] + df_out.soiling_ratio = final_kdf.soiling_ratio + df_out.soiling_rates = final_kdf.soiling_rates + df_out.cleaning_events = final_kdf.cleaning_events + + # Calculate soiling loss in % + soiling_loss = (1 - df_out.soiling_ratio).mean() * 100 + + # Total model + df_out.total_model = (df_out.soiling_ratio * + df_out.seasonal_component * + df_out.degradation_trend) + df_out.residuals = pi / df_out.total_model + residual_shift = df_out.residuals.mean() + df_out.total_model *= residual_shift + RMSE = _RMSE(pi, df_out.total_model) + adf_res = adfuller(df_out.residuals.dropna(), regression='ctt', autolag=None) + if verbose: + print('p-value for the H0 that there is a unit root in the' + + 'residuals (using the Augmented Dickey-fuller test):' + + '{:.3e}'.format(adf_res[1])) + + # Check size of soiling signal vs residuals + SR_amp = float(np.diff(df_out.soiling_ratio.quantile([.1, .9]))) + residuals_amp = float(np.diff(df_out.residuals.quantile([.1, .9]))) + soiling_signal_strength = SR_amp / residuals_amp + if soiling_signal_strength < soiling_significance: + if verbose: + print('Soiling signal is small relative to the noise') + small_soiling_signal = True + df_out.SR_high = 1.0 + df_out.SR_low = 1.0 - SR_amp + + # Set up results dictionary + results_dict = dict( + degradation=degradation, + soiling_loss=soiling_loss, + residual_shift=residual_shift, + RMSE=RMSE, + small_soiling_signal=small_soiling_signal, + adf_res=adf_res + ) + + return df_out, results_dict + + def run_bootstrap(self, + reps=512, + confidence_level=68.2, + degradation_method='YoY', + process_noise=1e-4, + order_alternatives=(('SR', 'SC', 'Rd'), + ('SC', 'SR', 'Rd')), + cleaning_sensitivity_alternatives=(.25, .75), + clean_pruning_sensitivity_alternatives=(1/1.5, 1.5), + forward_fill_alternatives=(True, False), + verbose=False, + **kwargs): + ''' + Bootstrapping of CODS algorithm for uncertainty analysis, inherently accounting + for model and parameter choices. + + First, calls on :py:func:`iterative_signal_decomposition` to fit N different + models. Next, bootstrap samples are generated based on these N initial model fits. + Each bootstrap sample is generated by bootstrapping the residuals of + the respective model fit, using circular block + bootstrapping, then multiplying these new residuals back onto the + model. Then, for each bootstrap sample, model parameters are randomly + chosen and the CODS model is fit to the bootstrapped signal. + The seasonal component is perturbed randomly and + divided out, so as to capture its uncertainty. In the end, + confidence intervals are calulated based on the percentile levels of the + collection of bootstrapped model fits. + The returned soiling ratio and rates are based on + the best fit of the initial N models. See [1]_ for more details. + + Parameters + ---------- + reps : int, default 512, + Number of bootstrap realizations to be run + minimum N, where N is the possible combinations of model + alternatives defined by possible combination of order_alternatives, + cleaning_sensitivity_alternatives, clean_pruning_sensitivity_alternatives and + forward_fill_alternatives. + confidence_level : float, default 68.2 + The size of the confidence intervals to return, in percent + degradation_method : string, default 'YoY' + Either 'YoY' or 'STL'. If anything else, 'YoY' will be assumed. + Decides whether to use the YoY method [3] for estimating the + degradation trend (assumes linear trend), or the STL-method (does + not assume linear trend). The latter is slower. + order_alternatives : tuple of tuples, default (('SR', 'SC', 'Rd'), ('SC', 'SR', 'Rd')) + Component estimation orders that will be tested during initial + model fitting. + cleaning_sensitivity_alternatives : tuple, default (.25, .75) + Detection tuner values that will be tested during initial fitting. + Length must be >= 1. First and last values define limits of values + that will be used during bootstrapping. + clean_pruning_sensitivity_alternatives : tuple, default (1/1.5, 1.5) + Pruning tuner values that will be tested during initial fitting. + Length must be >= 1. First and last values define limits of values + that will be used during bootstrapping. + forward_fill_alternatives : tuple, default (True, False) + Forward fill values that will be tested during initial fitting. + verbose : bool, default False + Wheter or not to print information about progress + **kwargs + Keyword arguments that are passed on to + :py:func:`iterative_signal_decomposition` + + Returns + ------- + result_df : pandas.DataFrame with pandas datetimeindex + Contains the columns/keys: + + +------------------------+----------------------------------------------+ + | Column Name | Description | + +========================+==============================================+ + | 'soiling_ratio' | soiling ratio (SR) (-) | + +------------------------+----------------------------------------------+ + | 'soiling_rates' | soiling rates (1/day) | + +------------------------+----------------------------------------------+ + | 'cleaning_events' | True at cleaning events | + +------------------------+----------------------------------------------+ + | 'seasonal_component' | seasonal component (SC) | + +------------------------+----------------------------------------------+ + | 'degradation_trend' | degradation trend (Rd) | + +------------------------+----------------------------------------------+ + | 'total_model' | the total model fit, i.e. SR * SC * Rd * rs, | + | | where SR is the soiling ratio, SC is the | + | | seasonal component, Rd is the degradation | + | | trend, and rs is the residual shift, i.e. | + | | the mean of the residuals (adjusting the | + | | position of the model fit to the position of | + | | the input data) | + +------------------------+----------------------------------------------+ + | 'residuals' | The residuals of the model fit, i.e. | + | | PI / (SR * SC * Rd) | + +------------------------+----------------------------------------------+ + | 'SR_low' | lower bound of 95 % conf. interval of SR | + +------------------------+----------------------------------------------+ + | 'SR_high' | upper bound of 95 % conf. interval of SR | + +------------------------+----------------------------------------------+ + | 'rates_low' | lower bound of 95 % conf. interval of | + | | soiling rates | + +------------------------+----------------------------------------------+ + | 'rates_high' | upper bound of 95 % conf. interval of | + | | soiling rates | + +------------------------+----------------------------------------------+ + | 'bt_soiling_ratio' | Bootstrapped estimate of soiling ratio (SR) | + +------------------------+----------------------------------------------+ + | 'bt_soiling_rates' | Bootstrapped estimate of soiling rates | + +------------------------+----------------------------------------------+ + | 'seasonal_low' | lower bound of 95 % conf. interval of | + | | seasonal component (SC) | + +------------------------+----------------------------------------------+ + | 'seasonal_high' | upper bound of 95 % conf. interval of | + | | seasonal component (SC) | + +------------------------+----------------------------------------------+ + | 'model_high' | upper bound of 95 % confidence interval of | + | | the model fit | + +------------------------+----------------------------------------------+ + | 'model_low' | lower bound of 95 % confidence interval of | + | | the model fit | + +------------------------+----------------------------------------------+ + + degradation : list + List of linear degradation rate of system in %/year, lower and + upper bound of confidence interval. + soiling_loss : list + List of average soiling losses over the time series in %, lower and + upper bound of confidence interval. + + References + ---------- + .. [1] Skomedal, Å. and Deceglie, M. G., IEEE Journal of + Photovoltaics, Sept. 2020. https://doi.org/10.1109/JPHOTOV.2020.3018219 + ''' + pi = self.pm.copy() + + # ###################### # + # ###### STAGE 1 ####### # + # ###################### # + + # Generate combinations of model parameter alternatives + parameter_alternatives = [order_alternatives, + cleaning_sensitivity_alternatives, + clean_pruning_sensitivity_alternatives, + forward_fill_alternatives] + index_list = list(itertools.product([0, 1], repeat=len(parameter_alternatives))) + combination_of_parameters = [[parameter_alternatives[j][indexes[j]] + for j in range(len(parameter_alternatives))] + for indexes in index_list] + nr_models = len(index_list) + bootstrap_samples_list, list_of_df_out, results = [], [], [] + + # Check boostrap number + if reps % nr_models != 0: + reps += nr_models - reps % nr_models + + if verbose: + print('Initially fitting {:} models'.format(nr_models)) + t00 = time.time() + # For each combination of model parameter alternatives, fit one model: + for c, (order, dt, pt, ff) in enumerate(combination_of_parameters): + try: + df_out, result_dict = self.iterative_signal_decomposition( + max_iterations=18, order=order, clip_soiling=True, + cleaning_sensitivity=dt, pruning_iterations=1, + clean_pruning_sensitivity=pt, process_noise=process_noise, ffill=ff, + degradation_method=degradation_method, **kwargs) + + # Save results + list_of_df_out.append(df_out) + results.append(result_dict) + adf = result_dict['adf_res'] + # If we can reject the null-hypothesis that there is a unit + # root in the residuals: + if adf[1] < .05: + # ... generate bootstrap samples based on the fit: + bootstrap_samples_list.append( + _make_time_series_bootstrap_samples( + pi, df_out.total_model, + sample_nr=int(reps / nr_models))) + + # Print progress + if verbose: + _progressBarWithETA(c+1, nr_models, time.time()-t00, + bar_length=30) + except ValueError as ex: + print(ex) + + # Revive results + adfs = np.array([(r['adf_res'][0] if r['adf_res'][1] < 0.05 else 0) for r in results]) + RMSEs = np.array([r['RMSE'] for r in results]) + SR_is_one_fraction = np.array( + [(df.soiling_ratio == 1).mean() for df in list_of_df_out]) + small_soiling_signal = [r['small_soiling_signal'] for r in results] + + # Calculate weights + weights = 1 / RMSEs / (1 + SR_is_one_fraction) + weights /= np.sum(weights) + + # Save sensitivities and weights for initial model fits + _parameters_n_weights = pd.concat([pd.DataFrame(combination_of_parameters), + pd.Series(RMSEs), + pd.Series(SR_is_one_fraction), + pd.Series(weights), + pd.Series(small_soiling_signal)], + axis=1, ignore_index=True) + + if verbose: # Print summary + _parameters_n_weights.columns = ['order', 'dt', 'pt', 'ff', 'RMSE', + 'SR==1', 'weights', 'small_soiling_signal'] + if verbose: + print('\n', _parameters_n_weights) + + # Check if data is decomposable + if np.sum(adfs == 0) > nr_models / 2: + raise RuntimeError( + 'Test for stationary residuals (Augmented Dickey-Fuller' + + ' test) not passed in half of the instances:\nData not' + + ' decomposable.') + + # Save best model + self.initial_fits = [df for df in list_of_df_out] + result_df = list_of_df_out[np.argmax(weights)] + + # If more than half of the model fits indicate small soiling signal, + # don't do bootstrapping + if np.sum(small_soiling_signal) > nr_models / 2: + self.result_df = result_df + self.residual_shift = results[np.argmax(weights)]['residual_shift'] + YOY = RdToolsDeg.degradation_year_on_year(pi) + self.degradation = [YOY[0], YOY[1][0], YOY[1][1]] + self.soiling_loss = [0, 0, (1 - result_df.soiling_ratio).mean()] + self.small_soiling_signal = True + self.errors = ( + 'Soiling signal is small relative to the noise. ' + 'Iterative decomposition not possible. ' + 'Degradation found by RdTools YoY.') + warnings.warn(self.errors) + return self.result_df, self.degradation, self.soiling_loss + self.small_soiling_signal = False + + # Aggregate all bootstrap samples + all_bootstrap_samples = pd.concat(bootstrap_samples_list, axis=1, + ignore_index=True) + + # Seasonal samples are generated from previously fitted seasonal + # components, by perturbing amplitude and phase shift + # Number of samples per fit: + sample_nr = int(reps / nr_models) + list_of_SCs = [list_of_df_out[m].seasonal_component + for m in range(nr_models) if weights[m] > 0] + seasonal_samples = _make_seasonal_samples(list_of_SCs, + sample_nr=sample_nr, + min_multiplier=.8, + max_multiplier=1.75, + max_shift=30) + + # ###################### # + # ###### STAGE 2 ####### # + # ###################### # + + if verbose and reps > 0: + print('\nBootstrapping for uncertainty analysis', + '({:} realizations):'.format(reps)) + order = ('SR', 'SC' if degradation_method == 'STL' else 'Rd') + t0 = time.time() + bt_kdfs, bt_SL, bt_deg, parameters, adfs, RMSEs, SR_is_1, rss, errors = \ + [], [], [], [], [], [], [], [], ['Bootstrapping errors'] + for b in range(reps): + try: + # randomly choose model sensitivities + dt = np.random.uniform(parameter_alternatives[1][0], + parameter_alternatives[1][-1]) + pt = np.random.uniform(parameter_alternatives[2][0], + parameter_alternatives[2][-1]) + pn = np.random.uniform(process_noise / 1.5, process_noise * 1.5) + renormalize_SR = np.random.choice([None, + np.random.uniform(.5, .95)]) + ffill = np.random.choice([True, False]) + parameters.append([dt, pt, pn, renormalize_SR, ffill]) + + # Sample to infer soiling from + bootstrap_sample = \ + all_bootstrap_samples[b] / seasonal_samples[b] + + # Set up a temprary instance of the CODSAnalysis object + temporary_cods_instance = CODSAnalysis(bootstrap_sample) + + # Do Signal decomposition for soiling and degradation component + kdf, results_dict = temporary_cods_instance.iterative_signal_decomposition( + max_iterations=4, order=order, clip_soiling=True, + cleaning_sensitivity=dt, pruning_iterations=1, + clean_pruning_sensitivity=pt, process_noise=pn, + renormalize_SR=renormalize_SR, ffill=ffill, + degradation_method=degradation_method, **kwargs) + + # If we can reject the null-hypothesis that there is a unit + # root in the residuals: + if results_dict['adf_res'][1] < .05: # Save the results + bt_kdfs.append(kdf) + adfs.append(results_dict['adf_res'][0]) + RMSEs.append(results_dict['RMSE']) + bt_deg.append(results_dict['degradation']) + bt_SL.append(results_dict['soiling_loss']) + rss.append(results_dict['residual_shift']) + SR_is_1.append((kdf.soiling_ratio == 1).mean()) + else: + seasonal_samples.drop(columns=[b], inplace=True) + + except ValueError as ve: + seasonal_samples.drop(columns=[b], inplace=True) + errors.append([b, ve]) + + # Print progress + if verbose: + _progressBarWithETA(b+1, reps, time.time()-t0, bar_length=30) + + # Reweight and save weights + weights = 1 / np.array(RMSEs) / (1 + np.array(SR_is_1)) + weights /= np.sum(weights) + self._parameters_n_weights = pd.concat( + [pd.DataFrame(parameters), + pd.Series(RMSEs), + pd.Series(adfs), + pd.Series(SR_is_1), + pd.Series(weights)], + axis=1, ignore_index=True) + self._parameters_n_weights.columns = ['dt', 'pt', 'pn', 'RSR', 'ffill', + 'RMSE', 'ADF', 'SR==1', 'weights'] + + # ###################### # + # ###### STAGE 3 ####### # + # ###################### # + + # Set confidence interval edge quantile levels + ci_low_edge = (50 - confidence_level / 2) / 100 + ci_high_edge = (50 + confidence_level / 2) / 100 + + # Concatenate boostrap model fits + concat_tot_mod = pd.concat([kdf.total_model for kdf in bt_kdfs], axis=1) + concat_SR = pd.concat([kdf.soiling_ratio for kdf in bt_kdfs], axis=1) + concat_r_s = pd.concat([kdf.soiling_rates for kdf in bt_kdfs], axis=1) + concat_ce = pd.concat([kdf.cleaning_events for kdf in bt_kdfs], axis=1) + + # Find confidence intervals for SR and soiling rates + df_out['SR_low'] = concat_SR.quantile(ci_low_edge, 1) + df_out['SR_high'] = concat_SR.quantile(ci_high_edge, 1) + df_out['rates_low'] = concat_r_s.quantile(ci_low_edge, 1) + df_out['rates_high'] = concat_r_s.quantile(ci_high_edge, 1) + + # Save best estimate and bootstrapped estimates of SR and soiling rates + df_out.soiling_ratio = df_out.soiling_ratio.clip(lower=0, upper=1) + df_out.loc[df_out.soiling_ratio.diff() == 0, 'soiling_rates'] = 0 + df_out['bt_soiling_ratio'] = (concat_SR * weights).sum(1) + df_out['bt_soiling_rates'] = (concat_r_s * weights).sum(1) + + # Set probability of cleaning events + df_out.cleaning_events = (concat_ce * weights).sum(1) + + # Find degradation rates + self.degradation = [np.dot(bt_deg, weights), + np.quantile(bt_deg, ci_low_edge), + np.quantile(bt_deg, ci_high_edge)] + df_out.degradation_trend = 1 + np.arange(len(pi)) * \ + self.degradation[0] / 100 / 365.0 + + # Soiling losses + self.soiling_loss = [np.dot(bt_SL, weights), + np.quantile(bt_SL, ci_low_edge), + np.quantile(bt_SL, ci_high_edge)] + + # Save "confidence intervals" for seasonal component + df_out.seasonal_component = (seasonal_samples * weights).sum(1) + df_out['seasonal_low'] = seasonal_samples.quantile(ci_low_edge, 1) + df_out['seasonal_high'] = seasonal_samples.quantile(ci_high_edge, 1) + + # Total model with confidence intervals + df_out.total_model = (df_out.degradation_trend * + df_out.seasonal_component * + df_out.soiling_ratio) + df_out['model_low'] = concat_tot_mod.quantile(ci_low_edge, 1) + df_out['model_high'] = concat_tot_mod.quantile(ci_high_edge, 1) + + # Residuals and residual shift + df_out.residuals = pi / df_out.total_model + self.residual_shift = df_out.residuals.mean() + df_out.total_model *= self.residual_shift + self.RMSE = _RMSE(pi, df_out.total_model) + self.adf_results = adfuller(df_out.residuals.dropna(), + regression='ctt', autolag=None) + self.result_df = df_out + self.errors = errors + + if verbose: + print('\nFinal RMSE: {:.5f}'.format(self.RMSE)) + if len(self.errors) > 1: + print(self.errors) + + return self.result_df, self.degradation, self.soiling_loss + + def _Kalman_filter_for_SR(self, zs_series, process_noise=1e-4, zs_std=.05, + rate_std=.005, max_soiling_rates=.0005, + pruning_iterations=1, clean_pruning_sensitivity=.6, + renormalize_SR=None, perfect_cleaning=False, + prescient_cleaning_events=None, + clip_soiling=True, ffill=True): + ''' + A function for estimating the underlying Soiling Ratio (SR) and the + rate of change of the SR (the soiling rate), based on a noisy time series + of daily (corrected) normalized energy using a Kalman Filter (KF). See + [1]_ for more details on Kalman Filters. + + Parameters + ---------- + zs_series : pandas.Series + Time series of daily normalized energy. Ideally corrected for degradation + and seasonality + process_noise : float, default 1e-4 + Represents the expected amount of unmodeled variation in the process itself + zs_std : float, default 0.05 + Represents the expected variation in the zs_series + rate_std : float, default 0.005 + Represents the expected variation in the rate of change of the zs_series + max_soiling_rates : float, default 0.0005 + Represents the maximum allowed positive soiling rate (when soiling is removed) + pruning_iterations : int, default 1 + Number of iterations when pruning (removing) cleaning events + clean_pruning_sensitivity : float, default 0.6 + Sensitivity tuner that decides how easily a cleaning event is pruned + (removed). Larger values means a smaller chance of pruning a given event. + renormalize_SR : float or None, default None + Quantile (of subsequent zs_series-values after cleaning events) for which + to normalize SR against. + perfect_cleaning : bool, default False + Whether or not to assume perfect cleaning, i.e. SR = 1 after every + cleaning event + prescient_cleaning_events : list, pandas.Series, or None, default None + List of "known" cleaning events that is passed on to the algorithm + clip_soiling : bool, default True + Whether or not to clip SR at a maximum value of 1 + ffill : bool, default True + Whether to forward fill missing values when detecting cleaning events. + + Returns + ------- + dfk : pandas.DataFrame + Results of the Kalman Filter process. Contains the followig columns: + + +------------------------+----------------------------------------------+ + | Column Name | Description | + +========================+==============================================+ + | 'raw_pi' | Raw state estimate after Kalman Filter pass | + +------------------------+----------------------------------------------+ + | 'raw_rates' | Raw rate estimate after Kalman Filter pass | + +------------------------+----------------------------------------------+ + | 'smooth_pi' | Smoothed state estimate after running the | + | | smoother function | + +------------------------+----------------------------------------------+ + | 'smooth_rates' | Smoothed rate estimate after running the | + | | smoother function | + +------------------------+----------------------------------------------+ + | 'soiling_ratio' | soiling ratio (SR) estimate (-) | + +------------------------+----------------------------------------------+ + | 'soiling_rates' | soiling rate estimate (1/day) | + +------------------------+----------------------------------------------+ + | 'cleaning_events' | True at cleaning events | + +------------------------+----------------------------------------------+ + | 'days_since_ce' | Number of days since previous cleaning event | + +------------------------+----------------------------------------------+ + + Ps : numpy.array + Array of covariance matrices for the states of each iteration of the Kalman + Filter (one iteration per entry in zs_series). + + References + ---------- + .. [1] R. R. Labbe, Kalman and Bayesian Filters in Python. 2016. + ''' + + # Ensure numeric index + zs_series = zs_series.copy() # Make copy, so as not to change input + original_index = zs_series.index.copy() + if (original_index.dtype not in [int, 'int64']): + zs_series.index = range(len(zs_series)) + + # Check prescient_cleaning_events. If not present, find cleaning events + if isinstance(prescient_cleaning_events, list): + cleaning_events = prescient_cleaning_events + else: + if (isinstance(prescient_cleaning_events, type(zs_series)) and + (prescient_cleaning_events.sum() > 4)): + if len(prescient_cleaning_events) == len(zs_series): + prescient_cleaning_events = prescient_cleaning_events.copy() + prescient_cleaning_events.index = zs_series.index + else: + raise ValueError( + "The indices of prescient_cleaning_events must correspond to the" + + " indices of zs_series; they must be of the same length") + else: # If no prescient cleaning events, detect cleaning events + ce, rm9 = _rolling_median_ce_detection( + zs_series.index, zs_series, tuner=0.5) + prescient_cleaning_events = \ + _collapse_cleaning_events(ce, rm9.diff().values, 5) + + cleaning_events = prescient_cleaning_events[prescient_cleaning_events].index.tolist() + + # Find soiling events (e.g. dust storms) + soiling_events = _soiling_event_detection( + zs_series.index, zs_series, ffill=ffill, tuner=5) + soiling_events = soiling_events[soiling_events].index.tolist() + + # Initialize various parameters + if ffill: + rolling_median_13 = zs_series.ffill().rolling(13, center=True).median().ffill().bfill() + rolling_median_7 = zs_series.ffill().rolling(7, center=True).median().ffill().bfill() + else: + rolling_median_13 = zs_series.bfill().rolling(13, center=True).median().ffill().bfill() + rolling_median_7 = zs_series.bfill().rolling(7, center=True).median().ffill().bfill() + # A rough estimate of the measurement noise + measurement_noise = (rolling_median_13 - zs_series).var() + # An initial guess of the slope + initial_slope = np.array(theilslopes(zs_series.bfill().iloc[:14])) + dt = 1 # All time stemps are one day + + # Initialize Kalman filter + f = self._initialize_univariate_model(zs_series, dt, process_noise, + measurement_noise, rate_std, + zs_std, initial_slope) + + # Initialize miscallenous variables + dfk = pd.DataFrame(index=zs_series.index, dtype=float, + columns=['raw_pi', 'raw_rates', 'smooth_pi', + 'smooth_rates', 'soiling_ratio', + 'soiling_rates', 'cleaning_events', + 'days_since_ce']) + dfk['cleaning_events'] = False + + # Kalman Filter part: + ####################################################################### + # Call the forward pass function (the actual KF procedure) + Xs, Ps, rate_std, zs_std = self._forward_pass( + f, zs_series, rolling_median_7, cleaning_events, soiling_events) + + # Save results and smooth with rts smoother + dfk, Xs, Ps = self._smooth_results( + dfk, f, Xs, Ps, zs_series, cleaning_events, soiling_events, + perfect_cleaning) + ####################################################################### + + # Some steps to clean up the soiling data: + counter = 0 + while counter < pruning_iterations: + counter += 1 + ce_0 = cleaning_events.copy() + # 1: Remove false cleaning events by checking for outliers + if len(ce_0) > 0: + rm_smooth_pi = dfk.smooth_pi.rolling(7).median().shift(-6) + pi_after_cleaning = rm_smooth_pi.loc[cleaning_events] + # Detect outiers/false positives + false_positives = _find_numeric_outliers(pi_after_cleaning, + clean_pruning_sensitivity, 'lower') + cleaning_events = \ + false_positives[~false_positives].index.tolist() + + # 2: Remove longer periods with positive (soiling) rates + if (dfk.smooth_rates > max_soiling_rates).sum() > 1: + exceeding_rates = dfk.smooth_rates > max_soiling_rates + new_cleaning_events = _collapse_cleaning_events( + exceeding_rates, dfk.smooth_rates, 4) + cleaning_events.extend( + new_cleaning_events[new_cleaning_events].index) + cleaning_events.sort() + + # 3: If the list of cleaning events has changed, run the Kalman + # Filter and smoother again + if not ce_0 == cleaning_events: + f = self._initialize_univariate_model(zs_series, dt, + process_noise, + measurement_noise, + rate_std, zs_std, + initial_slope) + Xs, Ps, rate_std, zs_std = self._forward_pass( + f, zs_series, rolling_median_7, cleaning_events, + soiling_events) + dfk, Xs, Ps = self._smooth_results( + dfk, f, Xs, Ps, zs_series, cleaning_events, + soiling_events, perfect_cleaning) + + else: + counter = 100 # Make sure the while loop stops + + # 4: Estimate Soiling ratio from kalman estimate + if perfect_cleaning: # SR = 1 after cleaning events + if len(cleaning_events) > 0: + pi_dummy = pd.Series(index=dfk.index, data=np.nan) + pi_dummy.loc[cleaning_events] = \ + dfk.smooth_pi.loc[cleaning_events] + dfk.soiling_ratio = 1 / pi_dummy.ffill() * dfk.smooth_pi + # Set the SR in the first soiling period based on the mean + # ratio of the Kalman estimate (smooth_pi) and the SR + dfk.loc[:cleaning_events[0], 'soiling_ratio'] = \ + dfk.loc[:cleaning_events[0], 'smooth_pi'] \ + * (dfk.soiling_ratio / dfk.smooth_pi).mean() + else: # If no cleaning events + dfk.soiling_ratio = 1 + else: # Otherwise, if the inut signal has been decomposed, and + # only contains a soiling component, the kalman estimate = SR + dfk.soiling_ratio = dfk.smooth_pi + # 5: Renormalize Soiling Ratio + if renormalize_SR is not None: + dfk.soiling_ratio /= dfk.loc[cleaning_events, 'soiling_ratio' + ].quantile(renormalize_SR) + + # 6: Force soiling ratio to not exceed 1: + if clip_soiling: + dfk.soiling_ratio.clip(upper=1, inplace=True) + dfk.soiling_rates = dfk.smooth_rates + dfk.loc[dfk.soiling_ratio.diff() == 0, 'soiling_rates'] = 0 + + # Set number of days since cleaning event + nr_days_dummy = pd.Series(index=dfk.index, data=np.nan) + nr_days_dummy.loc[cleaning_events] = [int(date-dfk.index[0]) + for date in cleaning_events] + nr_days_dummy.iloc[0] = 0 + dfk.days_since_ce = range(len(zs_series)) - nr_days_dummy.ffill() + + # Save cleaning events and soiling events + dfk.loc[cleaning_events, 'cleaning_events'] = True + dfk.index = original_index # Set index back to orignial index + + return dfk, Ps + + def _forward_pass(self, f, zs_series, rolling_median_7, cleaning_events, + soiling_events): + ''' Run the forward pass of the Kalman Filter algortihm ''' + zs = zs_series.values + N = len(zs) + Xs, Ps = np.zeros((N, 2)), np.zeros((N, 2, 2)) + # Enter forward pass of filtering algorithm + for i, z in enumerate(zs): + if 7 < i < N-7 and (i in cleaning_events or i in soiling_events): + rolling_median_local = rolling_median_7.loc[i-5:i+5].values + u = self._set_control_input(f, rolling_median_local, i, + cleaning_events) + f.predict(u=u) # Predict wth control input u + else: # If no cleaning detection, predict without control input + f.predict() + if not np.isnan(z): + f.update(z) # Update + + Xs[i] = f.x + Ps[i] = f.P + rate_std, zs_std = Ps[-1, 1, 1], Ps[-1, 0, 0] + return Xs, Ps, rate_std, zs_std # Convert to numpy and return + + def _set_control_input(self, f, rolling_median_local, index, + cleaning_events): + ''' + For each cleaning event, sets control input u based on current + Kalman Filter state estimate (f.x), and the median value for the + following week. If the cleaning event seems to be misplaced, moves + the cleaning event to a more sensible location. If the cleaning + event seems to be correct, removes other cleaning events in the 10 + days surrounding this day + ''' + u = np.zeros(f.x.shape) # u is the control input + window_size = 11 # len of rolling_median_local + HW = 5 # Half window + moving_diff = np.diff(rolling_median_local) + # Index of maximum change in rolling median + max_diff_index = moving_diff.argmax() + if max_diff_index == HW-1 or index not in cleaning_events: + # The median zs of the week after the cleaning event + z_med = rolling_median_local[HW+3] + # Set control input this future median + u[0] = z_med - np.dot(f.H, np.dot(f.F, f.x)) + # If the change is bigger than the measurement noise: + if np.abs(u[0]) > np.sqrt(f.R)/2: + index_dummy = [n+3 for n in range(window_size-HW-1) + if n+3 != HW] + cleaning_events = [ce for ce in cleaning_events + if ce-index+HW not in index_dummy] + else: # If the cleaning event is insignificant + u[0] = 0 + if index in cleaning_events: + cleaning_events.remove(index) + else: # If the index with the maximum difference is not today... + cleaning_events.remove(index) # ...remove today from the list + if moving_diff[max_diff_index] > 0 \ + and index+max_diff_index-HW+1 not in cleaning_events: + # ...and add the missing day + bisect.insort(cleaning_events, index+max_diff_index-HW+1) + return u + + def _smooth_results(self, dfk, f, Xs, Ps, zs_series, cleaning_events, + soiling_events, perfect_cleaning): + ''' Smoother for Kalman Filter estimates. Smooths the Kalaman estimate + between given cleaning events and saves all in DataFrame dfk''' + # Save unsmoothed estimates + dfk.raw_pi = Xs[:, 0] + dfk.raw_rates = Xs[:, 1] + + # Set up cleaning events dummy list, inlcuding first and last day + df_num_ind = pd.Series(index=dfk.index, data=range(len(dfk))) + ce_dummy = cleaning_events.copy() + ce_dummy.extend(dfk.index[[0, -1]]) + ce_dummy.extend(soiling_events) + ce_dummy.sort() + + # Smooth between cleaning events + for start, end in zip(ce_dummy[:-1], ce_dummy[1:]): + num_ind = df_num_ind.loc[start:end].iloc[:-1] + Xs[num_ind], Ps[num_ind], _, _ = f.rts_smoother(Xs[num_ind], + Ps[num_ind]) + + # Save smoothed estimates + dfk.smooth_pi = Xs[:, 0] + dfk.smooth_rates = Xs[:, 1] + + return dfk, Xs, Ps + + def _initialize_univariate_model(self, zs_series, dt, process_noise, + measurement_noise, rate_std, zs_std, + initial_slope): + ''' Initializes the univariate Kalman Filter model, using the filterpy + package ''' + f = KalmanFilter(dim_x=2, dim_z=1) + f.F = np.array([[1., dt], + [0., 1.]]) + f.H = np.array([[1., 0.]]) + f.P = np.array([[zs_std**2, 0], + [0, rate_std**2]]) + f.Q = Q_discrete_white_noise(dim=2, dt=dt, var=process_noise**2) + f.x = np.array([initial_slope[1], initial_slope[0]]) + f.B = np.zeros(f.F.shape) + f.B[0] = 1 + f.R = measurement_noise + return f + + +def soiling_cods(energy_normalized_daily, + reps=512, + confidence_level=68.2, + degradation_method='YoY', + process_noise=1e-4, + order_alternatives=(('SR', 'SC', 'Rd'), + ('SC', 'SR', 'Rd')), + cleaning_sensitivity_alternatives=(.25, .75), + clean_pruning_sensitivity_alternatives=(1/1.5, 1.5), + forward_fill_alternatives=(True, False), + verbose=False, + **kwargs): + ''' + Functional wrapper for :py:class:`~rdtools.soiling.CODSAnalysis` and its + subroutine :py:func:`~rdtools.soiling.CODSAnalysis.run_bootstrap`. Runs + the combined degradation and soiling (CODS) algorithm with bootstrapping. + Based on the procedure presented in [1]_. + + Parameters + ---------- + energy_normalized_daily : pandas.Series + Daily performance metric (i.e. performance index, yield, etc.) + Alternatively, the soiling ratio output of a soiling sensor (e.g. the + photocurrent ratio between matched dirty and clean PV reference cells). + In either case, data should be insolation-weighted daily aggregates. + reps : int, default 512 + number of bootstrap realizations to calculate + confidence_level : float, default 68.2 + The size of the confidence interval to return, in percent + degradation_method : string, default 'YoY' + Either 'YoY' or 'STL'. If anything else, 'YoY' will be assumed. + Decides whether to use the YoY method [3] for estimating the + degradation trend (assumes linear trend), or the STL-method (does + not assume linear trend). The latter is slower. + process_noise : float, default 1e-4 + A Kalman Filter parameter that represents the expected amount of unmodeled + variation in the process, the process being the variation in the + performance index that is due to soiling, seasonality and degradation. + order_alternatives : tuple of tuples, default (('SR', 'SC', 'Rd'), ('SC', 'SR', 'Rd')) + Component estimation orders that will be tested during initial + model fitting. + cleaning_sensitivity_alternatives : tuple, default (.25, .75) + Detection tuner values that will be tested during initial fitting. + Length must be >= 1. First and last values define limits of values + that will be used during bootstrapping. + clean_pruning_sensitivity_alternatives : tuple, default (1/1.5, 1.5) + Pruning tuner values that will be tested during initial fitting. + Length must be >= 1. First and last values define limits of values + that will be used during bootstrapping. + forward_fill_alternatives : tuple, default (True, False) + Forward fill values that will be tested during initial fitting. + verbose : bool, default False + Wheter or not to print information about progress + **kwargs + keyword arguments that are passed on to :py:func:`iterative_signal_decomposition` + + Returns + ------- + soiling_ratio : float + Average soiling ratio based on CODS analysis (%) + soiling_ratio_confidence_interval : numpy.array + 95 % confidence interval of soiling ratio estimate (%) + degradation_rate : float + Estimated degradation rate (%/year) + degradation_rate_confidence_interval : numpy.array + 95 % confidence interval for degradation rate estimate (%/year) + result_df : pandas dataframe + Time series results from the CODS algorithm. Index is pandas.DatetimeIndex + with daily frequency. Contains the following columns: + + +------------------------+----------------------------------------------+ + | Column Name | Description | + +========================+==============================================+ + | 'soiling_ratio' | soiling ratio (SR) (-) | + +------------------------+----------------------------------------------+ + | 'soiling_rates' | soiling rates (1/day) | + +------------------------+----------------------------------------------+ + | 'cleaning_events' | True at cleaning events | + +------------------------+----------------------------------------------+ + | 'seasonal_component' | seasonal component (SC) | + +------------------------+----------------------------------------------+ + | 'degradation_trend' | degradation trend (Rd) | + +------------------------+----------------------------------------------+ + | 'total_model' | the total model fit, i.e. SR * SC * Rd * rs, | + | | where SR is the soiling ratio, SC is the | + | | seasonal component, Rd is the degradation | + | | trend, and rs is the residual shift, i.e. | + | | the mean of the residuals (adjusting the | + | | position of the model fit to the position of | + | | the input data) | + +------------------------+----------------------------------------------+ + | 'residuals' | The residuals of the model fit, i.e. | + | | PI / (SR * SC * Rd) | + +------------------------+----------------------------------------------+ + | 'SR_low' | lower bound of 95 % conf. interval of SR | + +------------------------+----------------------------------------------+ + | 'SR_high' | upper bound of 95 % conf. interval of SR | + +------------------------+----------------------------------------------+ + | 'rates_low' | lower bound of 95 % conf. interval of | + | | soiling rates | + +------------------------+----------------------------------------------+ + | 'rates_high' | upper bound of 95 % conf. interval of | + | | soiling rates | + +------------------------+----------------------------------------------+ + | 'bt_soiling_ratio' | Bootstrapped estimate of soiling ratio (SR) | + +------------------------+----------------------------------------------+ + | 'bt_soiling_rates' | Bootstrapped estimate of soiling rates | + +------------------------+----------------------------------------------+ + | 'seasonal_low' | lower bound of 95 % conf. interval of | + | | seasonal component (SC) | + +------------------------+----------------------------------------------+ + | 'seasonal_high' | upper bound of 95 % conf. interval of | + | | seasonal component (SC) | + +------------------------+----------------------------------------------+ + | 'model_high' | upper bound of 95 % confidence interval of | + | | the model fit | + +------------------------+----------------------------------------------+ + | 'model_low' | lower bound of 95 % confidence interval of | + | | the model fit | + +------------------------+----------------------------------------------+ + + References + ---------- + .. [1] Skomedal, Å. and Deceglie, M. G., IEEE Journal of Photovoltaics, + Sept. 2020. https://doi.org/10.1109/JPHOTOV.2020.3018219 + ''' + + CODS = CODSAnalysis(energy_normalized_daily) + + CODS.run_bootstrap( + reps=reps, + confidence_level=confidence_level, + verbose=verbose, + degradation_method=degradation_method, + process_noise=process_noise, + order_alternatives=order_alternatives, + cleaning_sensitivity_alternatives=cleaning_sensitivity_alternatives, + clean_pruning_sensitivity_alternatives=clean_pruning_sensitivity_alternatives, + forward_fill_alternatives=forward_fill_alternatives, + **kwargs) + + sr = 1 - CODS.soiling_loss[0] / 100 + sr_ci = 1 - np.array(CODS.soiling_loss[1:3]) / 100 + + return sr, sr_ci, CODS.degradation[0], np.array(CODS.degradation[1:3]), \ + CODS.result_df + + +def _collapse_cleaning_events(inferred_ce_in, metric, f=4): + ''' A function for replacing quick successive cleaning events with one + (most probable) cleaning event. + + Parameters + ---------- + inferred_ce_in : pandas.Series + Contains daily booelan values for cleaning events + metric : numpy.array/pandas.Series + A metric which is large when probability of cleaning is large + (eg. daily difference in rolling median of performance index) + f : int, default 4 + Number of time stamps to collapse in each direction + + Returns + ------- + inferred_ce : pandas.Series + boolean values for cleaning events + ''' + # Ensure numeric index + if isinstance(inferred_ce_in.index, + pd.core.indexes.datetimes.DatetimeIndex): + saveindex = inferred_ce_in.copy().index + inferred_ce_in.index = range(len(saveindex)) + else: + saveindex = inferred_ce_in.index + + # Make metric into series with same index + metric = pd.Series(index=inferred_ce_in.index, data=np.array(metric)) + # Make a dummy, removing the f days at the beginning and end + collapsed_ce_dummy = inferred_ce_in.iloc[f:-f].copy() + # Make holder for collapes cleaning events + collapsed_ce = pd.Series(index=inferred_ce_in.index, data=False) + # Find the index of the first "island" of true values + start_true_vals = collapsed_ce_dummy.idxmax() + # Loop through data + while start_true_vals > 0: + # Find end of island of true values + end_true_vals = collapsed_ce_dummy.loc[start_true_vals:].idxmin() - 1 + if end_true_vals >= start_true_vals: # If the island ends + # Find the day with mac probability of being a cleaning event + max_diff_day = \ + metric.loc[start_true_vals-f:end_true_vals+f].idxmax() + # Set all days in this period as false + collapsed_ce.loc[start_true_vals-f:end_true_vals+f] = False + collapsed_ce_dummy.loc[start_true_vals-f:end_true_vals+f] = False + # Set the max probability day as True (cleaning event) + collapsed_ce.loc[max_diff_day] = True + # Find the next island of true values + start_true_vals = collapsed_ce_dummy.idxmax() + if start_true_vals == f: + start_true_vals = 0 # Stop iterations + else: + start_true_vals = 0 # Stop iterations + # Return the series of collapsed cleaning events with the original index + return pd.Series(index=saveindex, data=collapsed_ce.values) + + +def _rolling_median_ce_detection(x, y, ffill=True, rolling_window=9, tuner=1.5): + ''' Finds cleaning events in a time series of performance index (y) ''' + y = pd.Series(index=x, data=y) + if ffill: # forward fill NaNs in y before running mean + rm = y.ffill().rolling(rolling_window, center=True).median() + else: # ... or backfill instead + rm = y.bfill().rolling(rolling_window, center=True).median() + Q3 = rm.diff().abs().quantile(.75) + Q1 = rm.diff().abs().quantile(.25) + limit = Q3 + tuner * (Q3 - Q1) + cleaning_events = rm.diff() > limit + return cleaning_events, rm + + +def _soiling_event_detection(x, y, ffill=True, tuner=5): + ''' Finds cleaning events in a time series of performance index (y) ''' + y = pd.Series(index=x, data=y) + if ffill: # forward fill NaNs in y before running mean + rm = y.ffill().rolling(9, center=True).median() + else: # ... or backfill instead + rm = y.bfill().rolling(9, center=True).median() + Q3 = rm.diff().abs().quantile(.99) + Q1 = rm.diff().abs().quantile(.01) + limit = Q1 - tuner * (Q3 - Q1) + soiling_events = rm.diff() < limit + return soiling_events + + +def _make_seasonal_samples(list_of_SCs, sample_nr=10, min_multiplier=0.5, + max_multiplier=2, max_shift=20): + ''' Generate seasonal samples by perturbing the amplitude and the phase of + a seasonal components found with the fitted CODS model ''' + samples = pd.DataFrame(index=list_of_SCs[0].index, + columns=range(int(sample_nr*len(list_of_SCs))), + dtype=float) + # From each fitted signal, we will generate new seaonal components + for i, signal in enumerate(list_of_SCs): + # Remove beginning and end of signal + signal_mean = signal.mean() + # Make a signal matrix where each column is a year and each row a date + year_matrix = signal.rename('values').to_frame().assign( + doy=signal.index.dayofyear, + year=signal.index.year + ).pivot(index='doy', columns='year', values='values') + # We will use the median signal through all the years... + median_signal = year_matrix.median(1) + for j in range(sample_nr): + # Generate random multiplier and phase shift + multiplier = np.random.uniform(min_multiplier, max_multiplier) + shift = np.random.randint(-max_shift, max_shift) + # Set up the signal by shifting the orginal signal index, and + # constructing the new signal based on median_signal + shifted_signal = pd.Series( + index=signal.index, + data=median_signal.reindex( + (signal.index.dayofyear-shift) % 365 + 1).values) + # Perturb amplitude by recentering to 0 multiplying by multiplier + samples.loc[:, i*sample_nr + j] = \ + multiplier * (shifted_signal - signal_mean) + 1 + return samples + + +def _force_periodicity(in_signal, signal_index, out_index): + ''' Function for forcing periodicity in a seasonal component signal ''' + # Make sure the in_signal is a Series + if isinstance(in_signal, np.ndarray): + signal = pd.Series(index=pd.DatetimeIndex(signal_index.date), + data=in_signal) + elif isinstance(in_signal, pd.Series): + signal = pd.Series(index=pd.DatetimeIndex(signal_index.date), + data=in_signal.values) + else: + raise ValueError('in_signal must be numpy array or pandas Series') + + # Make sure that we don't remove too much of the data: + remove_length = np.min([180, int((len(signal) - 365) / 2)]) + # Remove beginning and end of series + signal.iloc[:remove_length] = np.nan + signal.iloc[-remove_length:] = np.nan + + unique_years = signal.index.year.unique() # Years involved in time series + # Make a signal matrix where each column is a year and each row is a date + year_matrix = pd.DataFrame(index=np.arange(0, 365), columns=unique_years) + for year in unique_years: + dates_in_year = pd.date_range(str(year)+'-01-01', str(year)+'-12-31') + # We cut off the extra day(s) of leap years + year_matrix[year] = \ + signal.loc[str(year)].reindex(dates_in_year).values[:365] + # We will use the median signal through all the years... + median_signal = year_matrix.median(1) + # The output is the median signal broadcasted to the whole time series + output = pd.Series( + index=out_index, + data=median_signal.reindex(out_index.dayofyear - 1).values) + return output + + +def _find_numeric_outliers(x, multiplier=1.5, where='both', verbose=False): + ''' Function for finding numeric outliers ''' + try: # Calulate third and first quartile + Q3 = np.quantile(x, .75) + Q1 = np.quantile(x, .25) + except IndexError as ie: + print(ie, x) + except RuntimeWarning as rw: + print(rw, x) + IQR = Q3 - Q1 # Interquartile range + if where == 'upper': # If detecting upper outliers + if verbose: + print('Upper limit', Q3 + multiplier * IQR) + return (x > Q3 + multiplier * IQR) + elif where == 'lower': # If detecting lower outliers + if verbose: + print('Lower limit', Q1 - multiplier * IQR) + return (x < Q1 - multiplier * IQR) + elif where == 'both': # If detecting both lower and upper outliers + if verbose: + print('Upper, lower limit', + Q3 + multiplier * IQR, + Q1 - multiplier * IQR) + return (x > Q3 + multiplier * IQR), (x < Q1 - multiplier * IQR) + + +def _RMSE(y_true, y_pred): + '''Calculates the Root Mean Squared Error for y_true and y_pred, where + y_pred is the "prediction", and y_true is the truth.''' + mask = ~np.isnan(y_pred) + return np.sqrt(np.mean((y_pred[mask]-y_true[mask])**2)) + + +def _MSD(y_true, y_pred): + '''Calculates the Mean Signed Deviation for y_true and y_pred, where y_pred + is the "prediction", and y_true is the truth.''' + return np.mean(y_pred - y_true) + + +def _progressBarWithETA(value, endvalue, time, bar_length=20): + ''' Prints a progressbar with an estimated time of "arrival" ''' + percent = float(value) / endvalue * 100 + arrow = '-' * int(round(percent/100 * bar_length)-1) + '>' + spaces = ' ' * (bar_length - len(arrow)) + used = time / 60 # Time Used + left = used / percent*(100-percent) # Estimated time left + sys.stdout.write( + "\r# {:} | Used: {:.1f} min | Left: {:.1f}".format(value, used, left) + + " min | Progress: [{:}] {:.0f} %".format(arrow + spaces, percent)) + sys.stdout.flush() diff --git a/rdtools/test/analysis_chains_test.py b/rdtools/test/analysis_chains_test.py index 737e81f7c..89081152e 100644 --- a/rdtools/test/analysis_chains_test.py +++ b/rdtools/test/analysis_chains_test.py @@ -1,4 +1,4 @@ -from rdtools import TrendAnalysis, normalization +from rdtools import TrendAnalysis, normalization, filtering from conftest import assert_isinstance, assert_warnings import pytest import pvlib @@ -12,8 +12,7 @@ def basic_parameters(): # basic parameters (no time series data) for the TrendAnalysis class parameters = dict( - gamma_pdc=-0.005, - temperature_model={'a': -3.47, 'b': -0.0594, 'deltaT': 3} + gamma_pdc=-0.005, temperature_model={"a": -3.47, "b": -0.0594, "deltaT": 3} ) return parameters @@ -22,13 +21,12 @@ def basic_parameters(): @pytest.fixture def cs_input(): # basic parameters (no time series data) for the TrendAnalysis class - loc = pvlib.location.Location(-23.762028, 133.874886, - tz='Australia/North') + loc = pvlib.location.Location(-23.762028, 133.874886, tz="Australia/North") cs_input = dict( pvlib_location=loc, pv_tilt=20, pv_azimuth=0, - solar_position_method='ephemeris', # just to improve test execution speed + solar_position_method="ephemeris", # just to improve test execution speed ) return cs_input @@ -43,9 +41,9 @@ def degradation_trend(basic_parameters, cs_input): from degradation_test import DegradationTestCase rd = -0.05 - input_freq = 'H' + input_freq = "H" degradation_trend = DegradationTestCase.get_corr_energy(rd, input_freq) - tz = cs_input['pvlib_location'].tz + tz = cs_input["pvlib_location"].tz return degradation_trend.tz_localize(tz) @@ -55,104 +53,126 @@ def sensor_parameters(basic_parameters, degradation_trend): power = degradation_trend poa_global = power * 1000 temperature_ambient = power * 0 + 25 - basic_parameters['pv'] = power - basic_parameters['poa_global'] = poa_global - basic_parameters['temperature_ambient'] = temperature_ambient - basic_parameters['interp_freq'] = 'H' + basic_parameters["pv"] = power + basic_parameters["poa_global"] = poa_global + basic_parameters["temperature_ambient"] = temperature_ambient + basic_parameters["interp_freq"] = "H" return basic_parameters @pytest.fixture def sensor_analysis(sensor_parameters): rd_analysis = TrendAnalysis(**sensor_parameters) - rd_analysis.sensor_analysis(analyses=['yoy_degradation']) + rd_analysis.sensor_analysis(analyses=["yoy_degradation"]) return rd_analysis @pytest.fixture def sensor_analysis_exp_power(sensor_parameters): - power_expected = normalization.pvwatts_dc_power(sensor_parameters['poa_global'], - power_dc_rated=1) - sensor_parameters['power_expected'] = power_expected + power_expected = normalization.pvwatts_dc_power( + sensor_parameters["poa_global"], power_dc_rated=1 + ) + sensor_parameters["power_expected"] = power_expected rd_analysis = TrendAnalysis(**sensor_parameters) - rd_analysis.sensor_analysis(analyses=['yoy_degradation']) + rd_analysis.sensor_analysis(analyses=["yoy_degradation"]) + return rd_analysis + + +@pytest.fixture +def sensor_analysis_aggregated_no_filter(sensor_parameters): + rd_analysis = TrendAnalysis(**sensor_parameters, power_dc_rated=1.0) + rd_analysis.filter_params = {} # disable all index-based filters + rd_analysis.filter_params_aggregated = {} + rd_analysis.sensor_analysis(analyses=["yoy_degradation"]) return rd_analysis def test_interpolation(basic_parameters, degradation_trend): power = degradation_trend - shifted_index = power.index + pd.to_timedelta('8 minutes') + shifted_index = power.index + pd.to_timedelta("8 minutes") dummy_series = power * 0 + 25 dummy_series.index = shifted_index - basic_parameters['pv'] = power - basic_parameters['poa_global'] = dummy_series - basic_parameters['temperature_ambient'] = dummy_series - basic_parameters['temperature_cell'] = dummy_series - basic_parameters['windspeed'] = dummy_series - basic_parameters['power_expected'] = dummy_series - basic_parameters['interp_freq'] = 'H' + basic_parameters["pv"] = power + basic_parameters["poa_global"] = dummy_series + basic_parameters["temperature_ambient"] = dummy_series + basic_parameters["temperature_cell"] = dummy_series + basic_parameters["windspeed"] = dummy_series + basic_parameters["power_expected"] = dummy_series + basic_parameters["interp_freq"] = "H" rd_analysis = TrendAnalysis(**basic_parameters) - pd.testing.assert_index_equal(rd_analysis.pv_energy.index, - rd_analysis.poa_global.index[1:]) - pd.testing.assert_index_equal(rd_analysis.pv_energy.index, - rd_analysis.temperature_ambient.index[1:]) - pd.testing.assert_index_equal(rd_analysis.pv_energy.index, - rd_analysis.temperature_cell.index[1:]) - pd.testing.assert_index_equal(rd_analysis.pv_energy.index, - rd_analysis.windspeed.index[1:]) - pd.testing.assert_index_equal(rd_analysis.pv_energy.index, - rd_analysis.power_expected.index[1:]) - - rd_analysis.set_clearsky(pv_azimuth=dummy_series, - pv_tilt=dummy_series, - poa_global_clearsky=dummy_series, - temperature_cell_clearsky=dummy_series, - temperature_ambient_clearsky=dummy_series) - - pd.testing.assert_index_equal(rd_analysis.pv_energy.index, - rd_analysis.pv_azimuth.index) - pd.testing.assert_index_equal(rd_analysis.pv_energy.index, - rd_analysis.pv_tilt.index) - pd.testing.assert_index_equal(rd_analysis.pv_energy.index, - rd_analysis.poa_global_clearsky.index) - pd.testing.assert_index_equal(rd_analysis.pv_energy.index, - rd_analysis.temperature_cell_clearsky.index) - pd.testing.assert_index_equal(rd_analysis.pv_energy.index, - rd_analysis.temperature_ambient_clearsky.index) + pd.testing.assert_index_equal( + rd_analysis.pv_energy.index, rd_analysis.poa_global.index[1:] + ) + pd.testing.assert_index_equal( + rd_analysis.pv_energy.index, rd_analysis.temperature_ambient.index[1:] + ) + pd.testing.assert_index_equal( + rd_analysis.pv_energy.index, rd_analysis.temperature_cell.index[1:] + ) + pd.testing.assert_index_equal( + rd_analysis.pv_energy.index, rd_analysis.windspeed.index[1:] + ) + pd.testing.assert_index_equal( + rd_analysis.pv_energy.index, rd_analysis.power_expected.index[1:] + ) + + rd_analysis.set_clearsky( + pv_azimuth=dummy_series, + pv_tilt=dummy_series, + poa_global_clearsky=dummy_series, + temperature_cell_clearsky=dummy_series, + temperature_ambient_clearsky=dummy_series, + ) + + pd.testing.assert_index_equal( + rd_analysis.pv_energy.index, rd_analysis.pv_azimuth.index + ) + pd.testing.assert_index_equal( + rd_analysis.pv_energy.index, rd_analysis.pv_tilt.index + ) + pd.testing.assert_index_equal( + rd_analysis.pv_energy.index, rd_analysis.poa_global_clearsky.index + ) + pd.testing.assert_index_equal( + rd_analysis.pv_energy.index, rd_analysis.temperature_cell_clearsky.index + ) + pd.testing.assert_index_equal( + rd_analysis.pv_energy.index, rd_analysis.temperature_ambient_clearsky.index + ) def test_sensor_analysis(sensor_analysis): - yoy_results = sensor_analysis.results['sensor']['yoy_degradation'] - rd = yoy_results['p50_rd'] - ci = yoy_results['rd_confidence_interval'] + yoy_results = sensor_analysis.results["sensor"]["yoy_degradation"] + rd = yoy_results["p50_rd"] + ci = yoy_results["rd_confidence_interval"] assert -1 == pytest.approx(rd, abs=1e-2) assert [-1, -1] == pytest.approx(ci, abs=1e-2) def test_sensor_analysis_energy(sensor_parameters, sensor_analysis): - sensor_parameters['pv'] = sensor_analysis.pv_energy - sensor_parameters['pv_input'] = 'energy' + sensor_parameters["pv"] = sensor_analysis.pv_energy + sensor_parameters["pv_input"] = "energy" sensor_analysis2 = TrendAnalysis(**sensor_parameters) sensor_analysis2.pv_power = sensor_analysis.pv_power - sensor_analysis2.sensor_analysis(analyses=['yoy_degradation']) - yoy_results = sensor_analysis2.results['sensor']['yoy_degradation'] - rd = yoy_results['p50_rd'] - ci = yoy_results['rd_confidence_interval'] + sensor_analysis2.sensor_analysis(analyses=["yoy_degradation"]) + yoy_results = sensor_analysis2.results["sensor"]["yoy_degradation"] + rd = yoy_results["p50_rd"] + ci = yoy_results["rd_confidence_interval"] assert -1 == pytest.approx(rd, abs=1e-2) assert [-1, -1] == pytest.approx(ci, abs=1e-2) def test_sensor_analysis_exp_power(sensor_analysis_exp_power): - yoy_results = sensor_analysis_exp_power.results['sensor']['yoy_degradation'] - rd = yoy_results['p50_rd'] - ci = yoy_results['rd_confidence_interval'] + yoy_results = sensor_analysis_exp_power.results["sensor"]["yoy_degradation"] + rd = yoy_results["p50_rd"] + ci = yoy_results["rd_confidence_interval"] assert 0 == pytest.approx(rd, abs=1e-2) assert [0, 0] == pytest.approx(ci, abs=1e-2) @@ -160,10 +180,10 @@ def test_sensor_analysis_exp_power(sensor_analysis_exp_power): def test_sensor_analysis_power_dc_rated(sensor_parameters): rd_analysis = TrendAnalysis(**sensor_parameters, power_dc_rated=1.0) - rd_analysis.sensor_analysis(analyses=['yoy_degradation']) - yoy_results = rd_analysis.results['sensor']['yoy_degradation'] - rd = yoy_results['p50_rd'] - ci = yoy_results['rd_confidence_interval'] + rd_analysis.sensor_analysis(analyses=["yoy_degradation"]) + yoy_results = rd_analysis.results["sensor"]["yoy_degradation"] + rd = yoy_results["p50_rd"] + ci = yoy_results["rd_confidence_interval"] assert -1 == pytest.approx(rd, abs=1e-2) assert [-1, -1] == pytest.approx(ci, abs=1e-2) @@ -171,79 +191,233 @@ def test_sensor_analysis_power_dc_rated(sensor_parameters): def test_sensor_analysis_ad_hoc_filter(sensor_parameters): # by excluding all but a few points, we should trigger the <2yr error - filt = pd.Series(False, index=sensor_parameters['pv'].index) + filt = pd.Series(False, index=sensor_parameters["pv"].index) filt.iloc[-100:] = True rd_analysis = TrendAnalysis(**sensor_parameters, power_dc_rated=1.0) - rd_analysis.filter_params['ad_hoc_filter'] = filt - with pytest.raises(ValueError, match="Less than two years of data left after filtering"): - rd_analysis.sensor_analysis(analyses=['yoy_degradation']) + rd_analysis.filter_params["ad_hoc_filter"] = filt + with pytest.raises( + ValueError, match="Less than two years of data left after filtering" + ): + rd_analysis.sensor_analysis(analyses=["yoy_degradation"]) + + +def test_sensor_analysis_aggregated_ad_hoc_filter(sensor_parameters): + # by excluding all but a few points, we should trigger the <2yr error + filt = pd.Series(False, index=sensor_parameters["pv"].index) + filt = filt.resample("1D").first().dropna(how="all") + filt.iloc[-500:] = True + rd_analysis = TrendAnalysis(**sensor_parameters, power_dc_rated=1.0) + rd_analysis.filter_params_aggregated["ad_hoc_filter"] = filt + with pytest.raises( + ValueError, match="Less than two years of data left after filtering" + ): + rd_analysis.sensor_analysis(analyses=["yoy_degradation"]) def test_filter_components(sensor_parameters): - poa = sensor_parameters['poa_global'] + poa = sensor_parameters["poa_global"] poa_filter = (poa > 200) & (poa < 1200) rd_analysis = TrendAnalysis(**sensor_parameters, power_dc_rated=1.0) - rd_analysis.sensor_analysis(analyses=['yoy_degradation']) - assert (poa_filter == rd_analysis.sensor_filter_components['poa_filter']).all() + rd_analysis.sensor_analysis(analyses=["yoy_degradation"]) + assert (poa_filter == rd_analysis.sensor_filter_components["poa_filter"]).all() + + +def test_filter_components_hour_angle(sensor_parameters, cs_input): + lat = cs_input["pvlib_location"].latitude + lon = cs_input["pvlib_location"].longitude + hour_angle_filter = filtering.hour_angle_filter(sensor_parameters["pv"], lat, lon) + rd_analysis = TrendAnalysis(**sensor_parameters, power_dc_rated=1.0) + rd_analysis.pvlib_location = cs_input['pvlib_location'] + rd_analysis.filter_params = {'hour_angle_filter': {}} + rd_analysis.filter_params_aggregated = {} + rd_analysis.sensor_analysis(analyses=["yoy_degradation"]) + assert (hour_angle_filter[1:] == + rd_analysis.sensor_filter_components["hour_angle_filter"]).all() + + +def test_aggregated_filter_components(sensor_parameters): + daily_ad_hoc_filter = pd.Series(True, index=sensor_parameters["pv"].index) + daily_ad_hoc_filter[:600] = False + daily_ad_hoc_filter = daily_ad_hoc_filter.resample("1D").first().dropna(how="all") + rd_analysis = TrendAnalysis(**sensor_parameters, power_dc_rated=1.0) + rd_analysis.filter_params = {} # disable all index-based filters + rd_analysis.filter_params_aggregated["ad_hoc_filter"] = daily_ad_hoc_filter + rd_analysis.sensor_analysis(analyses=["yoy_degradation"]) + assert ( + daily_ad_hoc_filter + == rd_analysis.sensor_filter_components_aggregated["ad_hoc_filter"] + ).all() def test_filter_components_no_filters(sensor_parameters): rd_analysis = TrendAnalysis(**sensor_parameters, power_dc_rated=1.0) rd_analysis.filter_params = {} # disable all filters - rd_analysis.sensor_analysis(analyses=['yoy_degradation']) + rd_analysis.sensor_analysis(analyses=["yoy_degradation"]) expected = pd.Series(True, index=rd_analysis.pv_energy.index) pd.testing.assert_series_equal(rd_analysis.sensor_filter, expected) assert rd_analysis.sensor_filter_components.empty -@pytest.mark.parametrize('workflow', ['sensor', 'clearsky']) -def test_filter_ad_hoc_warnings(workflow, sensor_parameters): +def test_aggregated_filter_components_no_filters(sensor_parameters): rd_analysis = TrendAnalysis(**sensor_parameters, power_dc_rated=1.0) - rd_analysis.set_clearsky(pvlib_location=pvlib.location.Location(40, -80), - poa_global_clearsky=rd_analysis.poa_global) + rd_analysis.filter_params = {} # disable all index-based filters + rd_analysis.filter_params_aggregated = {} # disable all daily filters + rd_analysis.sensor_analysis(analyses=["yoy_degradation"]) + expected = pd.Series(True, index=rd_analysis.pv_energy.index) + daily_expected = expected.resample("1D").first().dropna(how="all") + pd.testing.assert_series_equal(rd_analysis.sensor_filter_aggregated, daily_expected) + assert rd_analysis.sensor_filter_components.empty + + +def test_aggregated_filter_components_two_way_window_filter(sensor_analysis_aggregated_no_filter): + rd_analysis = sensor_analysis_aggregated_no_filter + aggregated_no_filter = rd_analysis.sensor_aggregated_performance + rd_analysis.filter_params_aggregated = {"two_way_window_filter": {}} + rd_analysis.sensor_analysis(analyses=["yoy_degradation"]) + daily_expected = filtering.two_way_window_filter(aggregated_no_filter) + pd.testing.assert_series_equal( + rd_analysis.sensor_filter_aggregated, daily_expected, check_names=False + ) + +def test_aggregated_filter_components_insolation_filter(sensor_analysis_aggregated_no_filter): + rd_analysis = sensor_analysis_aggregated_no_filter + aggregated_no_filter = rd_analysis.sensor_aggregated_performance + rd_analysis.filter_params_aggregated = {"insolation_filter": {}} + rd_analysis.sensor_analysis(analyses=["yoy_degradation"]) + daily_expected = filtering.insolation_filter(aggregated_no_filter) + pd.testing.assert_series_equal( + rd_analysis.sensor_filter_aggregated, daily_expected, check_names=False + ) + + +def test_aggregated_filter_components_hampel_filter(sensor_analysis_aggregated_no_filter): + rd_analysis = sensor_analysis_aggregated_no_filter + aggregated_no_filter = rd_analysis.sensor_aggregated_performance + rd_analysis.filter_params_aggregated = {"hampel_filter": {}} + rd_analysis.sensor_analysis(analyses=["yoy_degradation"]) + daily_expected = filtering.hampel_filter(aggregated_no_filter) + pd.testing.assert_series_equal( + rd_analysis.sensor_filter_aggregated, daily_expected, check_names=False + ) + + +def test_aggregated_filter_components_directional_tukey_filter( + sensor_analysis_aggregated_no_filter): + rd_analysis = sensor_analysis_aggregated_no_filter + aggregated_no_filter = rd_analysis.sensor_aggregated_performance + rd_analysis.filter_params_aggregated = {"directional_tukey_filter": {}} + rd_analysis.sensor_analysis(analyses=["yoy_degradation"]) + daily_expected = filtering.directional_tukey_filter(aggregated_no_filter) + pd.testing.assert_series_equal( + rd_analysis.sensor_filter_aggregated, daily_expected, check_names=False + ) + + +@pytest.mark.parametrize("workflow", ["sensor", "clearsky"]) +def test_filter_ad_hoc_warnings(workflow, sensor_parameters): + rd_analysis = TrendAnalysis(**sensor_parameters, power_dc_rated=1.0) + rd_analysis.set_clearsky( + pvlib_location=pvlib.location.Location(40, -80), + poa_global_clearsky=rd_analysis.poa_global, + ) # warning for incomplete index - ad_hoc_filter = pd.Series(True, index=sensor_parameters['pv'].index[:-5]) - rd_analysis.filter_params['ad_hoc_filter'] = ad_hoc_filter - with pytest.warns(UserWarning, match='ad_hoc_filter index does not match index'): - if workflow == 'sensor': - rd_analysis.sensor_analysis(analyses=['yoy_degradation']) + ad_hoc_filter = pd.Series(True, index=sensor_parameters["pv"].index[:-5]) + rd_analysis.filter_params["ad_hoc_filter"] = ad_hoc_filter + with pytest.warns(UserWarning, match="ad_hoc_filter index does not match index"): + if workflow == "sensor": + rd_analysis.sensor_analysis(analyses=["yoy_degradation"]) components = rd_analysis.sensor_filter_components else: - rd_analysis.clearsky_analysis(analyses=['yoy_degradation']) + rd_analysis.filter_params["clearsky_filter"] = {"model": "csi"} + rd_analysis.clearsky_analysis(analyses=["yoy_degradation"]) components = rd_analysis.clearsky_filter_components # missing values set to True - assert components['ad_hoc_filter'].all() + assert components["ad_hoc_filter"].all() # warning about NaNs - ad_hoc_filter = pd.Series(True, index=sensor_parameters['pv'].index) + ad_hoc_filter = pd.Series(True, index=sensor_parameters["pv"].index) ad_hoc_filter.iloc[10] = np.nan - rd_analysis.filter_params['ad_hoc_filter'] = ad_hoc_filter - with pytest.warns(UserWarning, match='ad_hoc_filter contains NaN values; setting to False'): - if workflow == 'sensor': - rd_analysis.sensor_analysis(analyses=['yoy_degradation']) + rd_analysis.filter_params["ad_hoc_filter"] = ad_hoc_filter + with pytest.warns( + UserWarning, match="ad_hoc_filter contains NaN values; setting to False" + ): + if workflow == "sensor": + rd_analysis.sensor_analysis(analyses=["yoy_degradation"]) components = rd_analysis.sensor_filter_components else: - rd_analysis.clearsky_analysis(analyses=['yoy_degradation']) + rd_analysis.clearsky_analysis(analyses=["yoy_degradation"]) components = rd_analysis.clearsky_filter_components # NaN values set to False - assert not components['ad_hoc_filter'].iloc[10] - assert components.drop(components.index[10])['ad_hoc_filter'].all() + assert not components["ad_hoc_filter"].iloc[10] + assert components.drop(components.index[10])["ad_hoc_filter"].all() + + +@pytest.mark.parametrize("workflow", ["sensor", "clearsky"]) +def test_aggregated_filter_ad_hoc_warnings(workflow, sensor_parameters): + rd_analysis = TrendAnalysis(**sensor_parameters, power_dc_rated=1.0) + rd_analysis.set_clearsky( + pvlib_location=pvlib.location.Location(40, -80), + poa_global_clearsky=rd_analysis.poa_global, + ) + # disable all filters outside of CSI + rd_analysis.filter_params = {"clearsky_filter": {"model": "csi"}} + # warning for incomplete index + daily_ad_hoc_filter = pd.Series(True, index=sensor_parameters["pv"].index[:-5]) + daily_ad_hoc_filter = daily_ad_hoc_filter.resample("1D").first().dropna(how="all") + rd_analysis.filter_params_aggregated["ad_hoc_filter"] = daily_ad_hoc_filter + with pytest.warns(UserWarning, match="ad_hoc_filter index does not match index"): + if workflow == "sensor": + rd_analysis.sensor_analysis(analyses=["yoy_degradation"]) + components = rd_analysis.sensor_filter_components_aggregated + else: + rd_analysis.clearsky_analysis(analyses=["yoy_degradation"]) + components = rd_analysis.clearsky_filter_components_aggregated + + # missing values set to True + assert components["ad_hoc_filter"].all() + + # warning about NaNs + rd_analysis_2 = TrendAnalysis(**sensor_parameters, power_dc_rated=1.0) + rd_analysis_2.set_clearsky( + pvlib_location=pvlib.location.Location(40, -80), + poa_global_clearsky=rd_analysis_2.poa_global, + ) + # disable all filters outside of CSI + rd_analysis_2.filter_params = {"clearsky_filter": {"model": "csi"}} + daily_ad_hoc_filter = pd.Series(True, index=sensor_parameters["pv"].index) + daily_ad_hoc_filter = daily_ad_hoc_filter.resample("1D").first().dropna(how="all") + daily_ad_hoc_filter.iloc[10] = np.nan + rd_analysis_2.filter_params_aggregated["ad_hoc_filter"] = daily_ad_hoc_filter + with pytest.warns( + UserWarning, match="ad_hoc_filter contains NaN values; setting to False" + ): + if workflow == "sensor": + rd_analysis_2.sensor_analysis(analyses=["yoy_degradation"]) + components = rd_analysis_2.sensor_filter_components_aggregated + else: + rd_analysis_2.clearsky_analysis(analyses=["yoy_degradation"]) + components = rd_analysis_2.clearsky_filter_components_aggregated + + # NaN values set to False + assert not components["ad_hoc_filter"].iloc[10] + assert components.drop(components.index[10])["ad_hoc_filter"].all() def test_cell_temperature_model_invalid(sensor_parameters): - wind = pd.Series(0, index=sensor_parameters['pv'].index) - sensor_parameters.pop('temperature_model') - rd_analysis = TrendAnalysis(**sensor_parameters, windspeed=wind, - temperature_model={'bad': True}) - with pytest.raises(ValueError, match='pvlib temperature_model entry is neither'): + wind = pd.Series(0, index=sensor_parameters["pv"].index) + sensor_parameters.pop("temperature_model") + rd_analysis = TrendAnalysis( + **sensor_parameters, windspeed=wind, temperature_model={"bad": True} + ) + with pytest.raises(ValueError, match="pvlib temperature_model entry is neither"): rd_analysis.sensor_analysis() def test_no_gamma_pdc(sensor_parameters): - sensor_parameters.pop('gamma_pdc') + sensor_parameters.pop("gamma_pdc") rd_analysis = TrendAnalysis(**sensor_parameters) with pytest.warns(UserWarning) as record: @@ -253,17 +427,19 @@ def test_no_gamma_pdc(sensor_parameters): @pytest.fixture -def clearsky_parameters(basic_parameters, sensor_parameters, - cs_input, degradation_trend): +def clearsky_parameters( + basic_parameters, sensor_parameters, cs_input, degradation_trend +): # clear-sky weather data. Uses TrendAnalysis's internal clear-sky # functions to generate the data. rd_analysis = TrendAnalysis(**sensor_parameters) rd_analysis.set_clearsky(**cs_input) + rd_analysis.filter_params["clearsky_filter"] = {"model": "csi"} rd_analysis._clearsky_preprocess() poa = rd_analysis.poa_global_clearsky clearsky_parameters = basic_parameters - clearsky_parameters['poa_global'] = poa - clearsky_parameters['pv'] = poa * degradation_trend + clearsky_parameters["poa_global"] = poa + clearsky_parameters["pv"] = poa * degradation_trend return clearsky_parameters @@ -271,7 +447,8 @@ def clearsky_parameters(basic_parameters, sensor_parameters, def clearsky_analysis(cs_input, clearsky_parameters): rd_analysis = TrendAnalysis(**clearsky_parameters) rd_analysis.set_clearsky(**cs_input) - rd_analysis.clearsky_analysis(analyses=['yoy_degradation']) + rd_analysis.filter_params["clearsky_filter"] = {"model": "csi"} + rd_analysis.clearsky_analysis(analyses=["yoy_degradation"]) return rd_analysis @@ -283,49 +460,72 @@ def clearsky_optional(cs_input, clearsky_analysis): poa_global_clearsky=clearsky_analysis.poa_global_clearsky, temperature_cell_clearsky=clearsky_analysis.temperature_cell_clearsky, temperature_ambient_clearsky=clearsky_analysis.temperature_ambient_clearsky, - pv_tilt=pd.Series(cs_input['pv_tilt'], index=times), - pv_azimuth=pd.Series(cs_input['pv_azimuth'], index=times), - solar_position_method='ephemeris', # just to improve test execution speed + pv_tilt=pd.Series(cs_input["pv_tilt"], index=times), + pv_azimuth=pd.Series(cs_input["pv_azimuth"], index=times), + solar_position_method="ephemeris", # just to improve test execution speed ) return extras +@pytest.fixture +def sensor_clearsky_analysis(cs_input, clearsky_parameters): + rd_analysis = TrendAnalysis(**clearsky_parameters) + rd_analysis.set_clearsky(**cs_input) + rd_analysis.filter_params = {} # disable all index-based filters + rd_analysis.filter_params["sensor_clearsky_filter"] = {"model": "csi"} + rd_analysis.sensor_analysis(analyses=["yoy_degradation"]) + return rd_analysis + + def test_clearsky_analysis(clearsky_analysis): - yoy_results = clearsky_analysis.results['clearsky']['yoy_degradation'] - ci = yoy_results['rd_confidence_interval'] - rd = yoy_results['p50_rd'] + yoy_results = clearsky_analysis.results["clearsky"]["yoy_degradation"] + ci = yoy_results["rd_confidence_interval"] + rd = yoy_results["p50_rd"] print(ci) assert -4.70 == pytest.approx(rd, abs=1e-2) assert [-4.71, -4.69] == pytest.approx(ci, abs=1e-2) -def test_clearsky_analysis_optional(clearsky_analysis, clearsky_parameters, clearsky_optional): +def test_clearsky_analysis_optional( + clearsky_analysis, clearsky_parameters, clearsky_optional +): clearsky_analysis.set_clearsky(**clearsky_optional) clearsky_analysis.clearsky_analysis() - yoy_results = clearsky_analysis.results['clearsky']['yoy_degradation'] - ci = yoy_results['rd_confidence_interval'] - rd = yoy_results['p50_rd'] - print(f'ci:{ci}') + yoy_results = clearsky_analysis.results["clearsky"]["yoy_degradation"] + ci = yoy_results["rd_confidence_interval"] + rd = yoy_results["p50_rd"] + print(f"ci:{ci}") assert -4.70 == pytest.approx(rd, abs=1e-2) assert [-4.71, -4.69] == pytest.approx(ci, abs=1e-2) +def test_sensor_clearsky_analysis(sensor_clearsky_analysis): + yoy_results = sensor_clearsky_analysis.results["sensor"]["yoy_degradation"] + ci = yoy_results["rd_confidence_interval"] + rd = yoy_results["p50_rd"] + print(ci) + assert -5.18 == pytest.approx(rd, abs=1e-2) + assert [-5.18, -5.18] == pytest.approx(ci, abs=1e-2) + + @pytest.fixture def clearsky_analysis_exp_power(clearsky_parameters, clearsky_optional): - power_expected = normalization.pvwatts_dc_power(clearsky_parameters['poa_global'], - power_dc_rated=1) - clearsky_parameters['power_expected'] = power_expected + power_expected = normalization.pvwatts_dc_power( + clearsky_parameters["poa_global"], power_dc_rated=1 + ) + clearsky_parameters["power_expected"] = power_expected rd_analysis = TrendAnalysis(**clearsky_parameters) rd_analysis.set_clearsky(**clearsky_optional) - rd_analysis.clearsky_analysis(analyses=['yoy_degradation']) + rd_analysis.filter_params["clearsky_filter"] = {"model": "csi"} + rd_analysis.clearsky_analysis(analyses=["yoy_degradation"]) return rd_analysis def test_clearsky_analysis_exp_power(clearsky_analysis_exp_power): - yoy_results = clearsky_analysis_exp_power.results['clearsky']['yoy_degradation'] - rd = yoy_results['p50_rd'] - ci = yoy_results['rd_confidence_interval'] + yoy_results = clearsky_analysis_exp_power.results["clearsky"]["yoy_degradation"] + rd = yoy_results["p50_rd"] + ci = yoy_results["rd_confidence_interval"] assert -5.128 == pytest.approx(rd, abs=1e-2) assert [-5.128, -5.127] == pytest.approx(ci, abs=1e-2) @@ -333,34 +533,52 @@ def test_clearsky_analysis_exp_power(clearsky_analysis_exp_power): def test_no_set_clearsky(clearsky_parameters): rd_analysis = TrendAnalysis(**clearsky_parameters) - with pytest.raises(AttributeError, match="No poa_global_clearsky. 'set_clearsky' must be run"): + with pytest.raises( + AttributeError, match="No poa_global_clearsky. 'set_clearsky' must be run" + ): rd_analysis.clearsky_analysis() def test_solar_position_method_passthrough(sensor_analysis, mocker): # verify that the solar_position_method kwarg is passed through to pvlib correctly - spy = mocker.spy(pvlib.solarposition, 'get_solarposition') - for method in ['nrel_numpy', 'ephemeris']: - sensor_analysis.set_clearsky(pvlib.location.Location(40, -80), pv_tilt=20, pv_azimuth=180, - solar_position_method=method) + spy = mocker.spy(pvlib.solarposition, "get_solarposition") + for method in ["nrel_numpy", "ephemeris"]: + sensor_analysis.set_clearsky( + pvlib.location.Location(40, -80), + pv_tilt=20, + pv_azimuth=180, + solar_position_method=method, + ) sensor_analysis._calc_clearsky_poa() - assert spy.call_args[1]['method'] == method + assert spy.call_args[1]["method"] == method def test_index_mismatch(): # GH #277 - times = pd.date_range('2019-01-01', '2022-01-01', freq='15min') + times = pd.date_range("2019-01-01", "2022-01-01", freq="15min") pv = pd.Series(1.0, index=times) - dummy_series = pd.Series(1.0, index=times[::4]) # low-frequency weather inputs - keys = ['poa_global', 'temperature_cell', 'temperature_ambient', 'power_expected', 'windspeed'] + # low-frequency weather inputs + dummy_series = pd.Series(1.0, index=times[::4]) + keys = [ + "poa_global", + "temperature_cell", + "temperature_ambient", + "power_expected", + "windspeed", + ] kwargs = {key: dummy_series.copy() for key in keys} rd_analysis = TrendAnalysis(pv, **kwargs) for key in keys: interpolated_series = getattr(rd_analysis, key) assert interpolated_series.index.equals(times) - cs_keys = ['poa_global_clearsky', 'temperature_cell_clearsky', 'temperature_ambient_clearsky', - 'pv_azimuth', 'pv_tilt'] + cs_keys = [ + "poa_global_clearsky", + "temperature_cell_clearsky", + "temperature_ambient_clearsky", + "pv_azimuth", + "pv_tilt", + ] cs_kwargs = {key: dummy_series.copy() for key in cs_keys} rd_analysis.set_clearsky(**cs_kwargs) for key in cs_keys: @@ -371,13 +589,13 @@ def test_index_mismatch(): @pytest.fixture def soiling_parameters(basic_parameters, soiling_normalized_daily, cs_input): # parameters for soiling analysis with TrendAnalysis - power = soiling_normalized_daily.resample('1h').interpolate() + power = soiling_normalized_daily.resample("1h").interpolate() return dict( pv=power, poa_global=power * 0 + 1000, temperature_cell=power * 0 + 25, gamma_pdc=0, - interp_freq='D', + interp_freq="D", ) @@ -385,8 +603,7 @@ def soiling_parameters(basic_parameters, soiling_normalized_daily, cs_input): def soiling_analysis_sensor(soiling_parameters): soiling_analysis = TrendAnalysis(**soiling_parameters) np.random.seed(1977) - soiling_analysis.sensor_analysis(analyses=['srr_soiling'], - srr_kwargs={'reps': 10}) + soiling_analysis.sensor_analysis(analyses=["srr_soiling"], srr_kwargs={"reps": 10}) return soiling_analysis @@ -395,88 +612,112 @@ def soiling_analysis_clearsky(soiling_parameters, cs_input): soiling_analysis = TrendAnalysis(**soiling_parameters) soiling_analysis.set_clearsky(**cs_input) np.random.seed(1977) - with pytest.warns(UserWarning, match='20% or more of the daily data'): - soiling_analysis.clearsky_analysis(analyses=['srr_soiling'], - srr_kwargs={'reps': 10}) + soiling_analysis.filter_params["clearsky_filter"] = {"model": "csi"} + with pytest.warns(UserWarning, match="20% or more of the daily data"): + soiling_analysis.clearsky_analysis( + analyses=["srr_soiling"], srr_kwargs={"reps": 10} + ) return soiling_analysis def test_srr_soiling(soiling_analysis_sensor): - srr_results = soiling_analysis_sensor.results['sensor']['srr_soiling'] - sratio = srr_results['p50_sratio'] - ci = srr_results['sratio_confidence_interval'] - renorm_factor = srr_results['calc_info']['renormalizing_factor'] - print(f'soiling ci:{ci}') - assert 0.965 == pytest.approx(sratio, abs=1e-3), \ - 'Soiling ratio different from expected value in TrendAnalysis.srr_soiling' - assert [0.96, 0.97] == pytest.approx(ci, abs=1e-2), \ - 'Soiling confidence interval different from expected value in TrendAnalysis.srr_soiling' - assert 0.974 == pytest.approx(renorm_factor, abs=1e-3), \ - 'Renormalization factor different from expected value in TrendAnalysis.srr_soiling' + srr_results = soiling_analysis_sensor.results["sensor"]["srr_soiling"] + sratio = srr_results["p50_sratio"] + ci = srr_results["sratio_confidence_interval"] + renorm_factor = srr_results["calc_info"]["renormalizing_factor"] + print(f"soiling ci:{ci}") + assert 0.965 == pytest.approx( + sratio, abs=1e-3 + ), "Soiling ratio different from expected value in TrendAnalysis.srr_soiling" + assert [0.96, 0.97] == pytest.approx( + ci, abs=1e-2 + ), "Soiling confidence interval different from expected value in TrendAnalysis.srr_soiling" + assert 0.974 == pytest.approx( + renorm_factor, abs=1e-3 + ), "Renormalization factor different from expected value in TrendAnalysis.srr_soiling" def test_plot_degradation(sensor_analysis): - assert_isinstance( - sensor_analysis.plot_degradation_summary('sensor'), plt.Figure) - assert_isinstance( - sensor_analysis.plot_pv_vs_irradiance('sensor'), plt.Figure) + assert_isinstance(sensor_analysis.plot_degradation_summary("sensor"), plt.Figure) + assert_isinstance(sensor_analysis.plot_pv_vs_irradiance("sensor"), plt.Figure) def test_plot_cs(clearsky_analysis): assert_isinstance( - clearsky_analysis.plot_degradation_summary('clearsky'), plt.Figure) - assert_isinstance( - clearsky_analysis.plot_pv_vs_irradiance('clearsky'), plt.Figure) + clearsky_analysis.plot_degradation_summary("clearsky"), plt.Figure + ) + assert_isinstance(clearsky_analysis.plot_pv_vs_irradiance("clearsky"), plt.Figure) def test_plot_soiling(soiling_analysis_sensor): assert_isinstance( - soiling_analysis_sensor.plot_soiling_monte_carlo('sensor'), plt.Figure) + soiling_analysis_sensor.plot_soiling_monte_carlo("sensor"), plt.Figure + ) assert_isinstance( - soiling_analysis_sensor.plot_soiling_interval('sensor'), plt.Figure) + soiling_analysis_sensor.plot_soiling_interval("sensor"), plt.Figure + ) assert_isinstance( - soiling_analysis_sensor.plot_soiling_rate_histogram('sensor'), plt.Figure) + soiling_analysis_sensor.plot_soiling_rate_histogram("sensor"), plt.Figure + ) def test_plot_soiling_cs(soiling_analysis_clearsky): assert_isinstance( - soiling_analysis_clearsky.plot_soiling_monte_carlo('clearsky'), plt.Figure) + soiling_analysis_clearsky.plot_soiling_monte_carlo("clearsky"), plt.Figure + ) assert_isinstance( - soiling_analysis_clearsky.plot_soiling_interval('clearsky'), plt.Figure) + soiling_analysis_clearsky.plot_soiling_interval("clearsky"), plt.Figure + ) assert_isinstance( - soiling_analysis_clearsky.plot_soiling_rate_histogram('clearsky'), plt.Figure) + soiling_analysis_clearsky.plot_soiling_rate_histogram("clearsky"), plt.Figure + ) def test_errors(sensor_parameters, clearsky_analysis): - rdtemp = TrendAnalysis(sensor_parameters['pv']) - with pytest.raises(ValueError, match='poa_global must be available'): + rdtemp = TrendAnalysis(sensor_parameters["pv"]) + with pytest.raises(ValueError, match="poa_global must be available"): rdtemp._sensor_preprocess() # no temperature - rdtemp = TrendAnalysis(sensor_parameters['pv'], - poa_global=sensor_parameters['poa_global']) - with pytest.raises(ValueError, match='either cell or ambient temperature'): + rdtemp = TrendAnalysis( + sensor_parameters["pv"], poa_global=sensor_parameters["poa_global"] + ) + with pytest.raises(ValueError, match="either cell or ambient temperature"): rdtemp._sensor_preprocess() # clearsky analysis with no tilt/azm - clearsky_analysis.pv_tilt = None - clearsky_analysis.poa_global_clearsky = None - with pytest.raises(ValueError, match='pv_tilt and pv_azimuth must be provided'): + del clearsky_analysis.pv_tilt + clearsky_analysis.poa_global_clearsky = ( + None # just needs to exist to test these errors + ) + with pytest.raises(ValueError, match="pv_tilt and pv_azimuth must be provided"): clearsky_analysis._clearsky_preprocess() # clearsky analysis with no pvlib.loc - clearsky_analysis.pvlib_location = None - with pytest.raises(ValueError, match='pvlib location must be provided'): + del clearsky_analysis.pvlib_location + with pytest.raises(ValueError, match="pvlib location must be provided"): clearsky_analysis._clearsky_preprocess() -@pytest.mark.parametrize('method_name', ['plot_degradation_summary', - 'plot_soiling_monte_carlo', - 'plot_soiling_interval', - 'plot_soiling_rate_histogram', - 'plot_pv_vs_irradiance']) +@pytest.mark.parametrize( + "method_name", + [ + "plot_degradation_summary", + "plot_soiling_monte_carlo", + "plot_soiling_interval", + "plot_soiling_rate_histogram", + "plot_pv_vs_irradiance", + ], +) def test_plot_errors(method_name, sensor_analysis): func = getattr(sensor_analysis, method_name) with pytest.raises(ValueError, match="case must be either 'sensor' or 'clearsky'"): - func(case='bad') + func(case="bad") + + +def test_plot_degradation_timeseries(sensor_analysis, clearsky_analysis): + assert_isinstance(sensor_analysis.plot_degradation_timeseries("sensor"), plt.Figure) + assert_isinstance( + clearsky_analysis.plot_degradation_timeseries("clearsky"), plt.Figure + ) diff --git a/rdtools/test/availability_test.py b/rdtools/test/availability_test.py index 2b6608c29..d022752ca 100644 --- a/rdtools/test/availability_test.py +++ b/rdtools/test/availability_test.py @@ -53,7 +53,7 @@ def power_data(request): # a few days of clearsky irradiance for creating a plausible power signal times = pd.date_range('2019-01-01', '2019-01-05 23:59', freq='15min', tz='US/Eastern') - location = pvlib.location.Location(40, -80) + location = pvlib.location.Location(40, -80, altitude=0) # use haurwitz to avoid dependency on `tables` clearsky = location.get_clearsky(times, model='haurwitz') diff --git a/rdtools/test/bootstrap_test.py b/rdtools/test/bootstrap_test.py new file mode 100644 index 000000000..cce236b22 --- /dev/null +++ b/rdtools/test/bootstrap_test.py @@ -0,0 +1,59 @@ +"""Bootstrap module tests.""" + +import pytest + +from rdtools.bootstrap import ( + _construct_confidence_intervals, + _make_time_series_bootstrap_samples, +) +from rdtools.degradation import degradation_year_on_year + + +@pytest.mark.parametrize("decomposition_type", ["multiplicative", "additive", "error"]) +def test_bootstrap_module( + cods_normalized_daily, cods_normalized_daily_wo_noise, decomposition_type +): + + if decomposition_type == "error": + with pytest.raises(ValueError): + _make_time_series_bootstrap_samples( + cods_normalized_daily, + cods_normalized_daily_wo_noise, + decomposition_type=decomposition_type) + + else: + # Rest make time serie bootstrap samples and construct of confidence intervals. + # Test make bootstrap samples + bootstrap_samples = _make_time_series_bootstrap_samples( + cods_normalized_daily, + cods_normalized_daily_wo_noise, + sample_nr=10, + block_length=90, + decomposition_type=decomposition_type, + ) + # Check if results are as expected + assert ( + bootstrap_samples.index == cods_normalized_daily.index + ).all(), "Index of bootstrapped signals is not as expected" + assert ( + bootstrap_samples.shape[1] == 10 + ), "Number of columns in bootstrapped signals is wrong" + + # Test construction of confidence intervals + confidence_intervals, exceedance_level, metrics = ( + _construct_confidence_intervals( + bootstrap_samples, degradation_year_on_year, uncertainty_method="none" + ) + ) + + # Check if results are as expected + assert ( + len(confidence_intervals) == 2 + ), "2 confidence interval bounds not returned" + assert isinstance(confidence_intervals[0], float) and isinstance( + confidence_intervals[1], float + ), "Confidence interval bounds are not float" + assert isinstance(exceedance_level, float), "Exceedance level is not float" + assert len(metrics) == 10, "Length of metrics is not as expected" + for m in metrics: + assert isinstance(m, float), "Not all metrics are float" diff --git a/rdtools/test/conftest.py b/rdtools/test/conftest.py index 1a3e36543..f22a05f54 100644 --- a/rdtools/test/conftest.py +++ b/rdtools/test/conftest.py @@ -98,6 +98,44 @@ def soiling_insolation(soiling_times): return insolation +@pytest.fixture() +def cods_times(): + tz = 'Etc/GMT+7' + cods_times = pd.date_range('2019/01/01', '2021/01/01', freq='D', tz=tz) + return cods_times + + +@pytest.fixture() +def cods_normalized_daily_wo_noise(cods_times): + N = len(cods_times) + interval_1 = 1 - 0.005 * np.arange(0, 25, 1) + interval_2 = 1 - 0.002 * np.arange(0, 25, 1) + interval_3 = 1 - 0.001 * np.arange(0, 25, 1) + profile = np.concatenate((interval_1, interval_2, interval_3)) + repeated_profile = np.concatenate([profile for _ in range(int(np.ceil(N / 75)))]) + cods_normalized_daily_wo_noise = pd.Series(data=repeated_profile[:N], index=cods_times) + return cods_normalized_daily_wo_noise + + +@pytest.fixture() +def cods_normalized_daily(cods_normalized_daily_wo_noise): + N = len(cods_normalized_daily_wo_noise) + np.random.seed(1977) + noise = 1 + 0.02 * (np.random.rand(N) - 0.5) + cods_normalized_daily = cods_normalized_daily_wo_noise * noise + return cods_normalized_daily + + +@pytest.fixture() +def cods_normalized_daily_small_soiling(cods_normalized_daily_wo_noise): + N = len(cods_normalized_daily_wo_noise) + np.random.seed(1977) + noise = 1 + 0.02 * (np.random.rand(N) - 0.5) + cods_normalized_daily_small_soiling = cods_normalized_daily_wo_noise.apply( + lambda row: 1-(1-row)*0.1) * noise + return cods_normalized_daily_small_soiling + + # %% Availability fixtures ENERGY_PARAMETER_SPACE = list(itertools.product( diff --git a/rdtools/test/degradation_test.py b/rdtools/test/degradation_test.py index a66e4cdd6..7a3f2c1c1 100644 --- a/rdtools/test/degradation_test.py +++ b/rdtools/test/degradation_test.py @@ -118,12 +118,33 @@ def test_degradation_year_on_year(self): # test YOY degradation calc for input_freq in self.list_YOY_input_freq: logging.debug('Frequency: {}'.format(input_freq)) + print(self.test_corr_energy[input_freq]) rd_result = degradation_year_on_year( self.test_corr_energy[input_freq]) self.assertAlmostEqual(rd_result[0], 100 * self.rd, places=1) logging.debug('Actual: {}'.format(100 * self.rd)) logging.debug('Estimated: {}'.format(rd_result[0])) + def test_degradation_year_on_year_circular_block_bootstrap(self): + ''' Test degradation with year on year approach with circular block bootstrapping. ''' + + funcName = sys._getframe().f_code.co_name + logging.debug('Running {}'.format(funcName)) + + # test YOY degradation calc + for input_freq in self.list_YOY_input_freq: + if input_freq != 'Irregular_D': + logging.debug('Frequency: {}'.format(input_freq)) + length_of_series = len(self.test_corr_energy[input_freq]) + block_length = 30 if length_of_series > 100 else int(length_of_series / 5) + rd_result = degradation_year_on_year( + self.test_corr_energy[input_freq], + uncertainty_method='circular_block', + block_length=block_length) + self.assertAlmostEqual(rd_result[0], 100 * self.rd, places=1) + logging.debug('Actual: {}'.format(100 * self.rd)) + logging.debug('Estimated: {}'.format(rd_result[0])) + def test_confidence_intervals(self): funcName = sys._getframe().f_code.co_name diff --git a/rdtools/test/energy_from_power_test.py b/rdtools/test/energy_from_power_test.py index cf4230e4f..ee7a8561a 100644 --- a/rdtools/test/energy_from_power_test.py +++ b/rdtools/test/energy_from_power_test.py @@ -6,7 +6,7 @@ @pytest.fixture def times(): - return pd.date_range(start='20200101 12:00', end='20200101 13:00', freq='15T') + return pd.date_range(start="20200101 12:00", end="20200101 13:00", freq="15T") @pytest.fixture @@ -15,72 +15,75 @@ def power(times): def test_energy_from_power_single_arg(power): - expected = power.iloc[1:]*0.25 - expected.name = 'energy_Wh' + expected = power.iloc[1:] * 0.25 + expected.name = "energy_Wh" result = energy_from_power(power) pd.testing.assert_series_equal(result, expected) def test_energy_from_power_instantaneous(power): - expected = (0.25*(power + power.shift())/2).dropna() - expected.name = 'energy_Wh' - result = energy_from_power(power, power_type='instantaneous') + expected = (0.25 * (power + power.shift()) / 2).dropna() + expected.name = "energy_Wh" + result = energy_from_power(power, power_type="instantaneous") pd.testing.assert_series_equal(result, expected) def test_energy_from_power_max_timedelta_inference(power): - expected = power.iloc[1:]*0.25 - expected.name = 'energy_Wh' + expected = power.iloc[1:] * 0.25 + expected.name = "energy_Wh" expected.iloc[:2] = np.nan - match = 'Fraction of excluded data (.*) exceeded threshold' + match = "Fraction of excluded data (.*) exceeded threshold" with pytest.warns(UserWarning, match=match): result = energy_from_power(power.drop(power.index[1])) pd.testing.assert_series_equal(result, expected) def test_energy_from_power_max_timedelta(power): - expected = power.iloc[1:]*0.25 - expected.name = 'energy_Wh' - result = energy_from_power(power.drop(power.index[1]), - max_timedelta=pd.to_timedelta('30 minutes')) + expected = power.iloc[1:] * 0.25 + expected.name = "energy_Wh" + result = energy_from_power( + power.drop(power.index[1]), max_timedelta=pd.to_timedelta("30 minutes") + ) pd.testing.assert_series_equal(result, expected) def test_energy_from_power_upsample(power): - expected = power.resample('10T').asfreq().interpolate()/6 + expected = power.resample("10T").asfreq().interpolate() / 6 expected = expected.iloc[1:] - expected.name = 'energy_Wh' - result = energy_from_power(power, target_frequency='10T') + expected.name = "energy_Wh" + result = energy_from_power(power, target_frequency="10T") pd.testing.assert_series_equal(result, expected) def test_energy_from_power_downsample(power): - expected = power.resample('20T').asfreq() + expected = power.resample("20T").asfreq() expected = expected.iloc[1:] expected = pd.Series([0.75, 0.833333333, 0.416666667], index=expected.index) - expected.name = 'energy_Wh' - result = energy_from_power(power, target_frequency='20T') + expected.name = "energy_Wh" + result = energy_from_power(power, target_frequency="20T") pd.testing.assert_series_equal(result, expected) def test_energy_from_power_max_timedelta_edge_case(): - times = pd.date_range('2020-01-01 12:00', periods=4, freq='15T') + times = pd.date_range("2020-01-01 12:00", periods=4, freq="15T") power = pd.Series(1, index=times) power = power.drop(power.index[2]) - result = energy_from_power(power, '30T', max_timedelta=pd.to_timedelta('20 minutes')) + result = energy_from_power( + power, "30T", max_timedelta=pd.to_timedelta("20 minutes") + ) assert result.isnull().all() def test_energy_from_power_single_value_input(): - times = pd.date_range('2019-01-01', freq='15T', periods=1) - power = pd.Series([100.], index=times) - expected_result = pd.Series([25.], index=times, name='energy_Wh') + times = pd.date_range("2019-01-01", freq="15T", periods=1) + power = pd.Series([100.0], index=times) + expected_result = pd.Series([25.0], index=times, name="energy_Wh") result = energy_from_power(power) pd.testing.assert_series_equal(result, expected_result) def test_energy_from_power_single_value_input_no_freq(): - power = pd.Series([1], pd.date_range('2019-01-01', periods=1, freq='15T')) + power = pd.Series([1], pd.date_range("2019-01-01", periods=1, freq="15T")) power.index.freq = None match = "Could not determine period of input power" with pytest.raises(ValueError, match=match): @@ -88,27 +91,36 @@ def test_energy_from_power_single_value_input_no_freq(): def test_energy_from_power_single_value_instantaneous(): - power = pd.Series([1], pd.date_range('2019-01-01', periods=1, freq='15T')) + power = pd.Series([1], pd.date_range("2019-01-01", periods=1, freq="15T")) power.index.freq = None - match = ("power_type='instantaneous' is incompatible with single element power. " - "Use power_type='right-labeled'") + match = ( + "power_type='instantaneous' is incompatible with single element power. " + "Use power_type='right-labeled'" + ) with pytest.raises(ValueError, match=match): - energy_from_power(power, power_type='instantaneous') + energy_from_power(power, power_type="instantaneous") def test_energy_from_power_single_value_with_target(): - times = pd.date_range('2019-01-01', freq='15T', periods=1) - power = pd.Series([100.], index=times) - expected_result = pd.Series([100.], index=times, name='energy_Wh') - result = energy_from_power(power, target_frequency='H') + times = pd.date_range("2019-01-01", freq="15T", periods=1) + power = pd.Series([100.0], index=times) + expected_result = pd.Series([100.0], index=times, name="energy_Wh") + result = energy_from_power(power, target_frequency="H") pd.testing.assert_series_equal(result, expected_result) def test_energy_from_power_leading_nans(): # GH 244 - power = pd.Series(1, pd.date_range('2019-01-01', freq='15min', periods=5)) + power = pd.Series(1, pd.date_range("2019-01-01", freq="15min", periods=5)) power.iloc[:2] = np.nan - expected_result = pd.Series([np.nan, np.nan, 0.25, 0.25], - index=power.index[1:], name='energy_Wh') + expected_result = pd.Series( + [np.nan, np.nan, 0.25, 0.25], index=power.index[1:], name="energy_Wh" + ) result = energy_from_power(power) pd.testing.assert_series_equal(result, expected_result) + + +def test_energy_from_power_series_index(): + power = pd.Series([1, 2, 3, 4, 5]) + with pytest.raises(ValueError): + energy_from_power(power) diff --git a/rdtools/test/filtering_test.py b/rdtools/test/filtering_test.py index 4f99b85ea..6dd889c3d 100644 --- a/rdtools/test/filtering_test.py +++ b/rdtools/test/filtering_test.py @@ -3,18 +3,52 @@ import pytest import pandas as pd import numpy as np -from rdtools import (csi_filter, +from rdtools import (clearsky_filter, + csi_filter, + pvlib_clearsky_filter, poa_filter, tcell_filter, clip_filter, quantile_clip_filter, normalized_filter, logic_clip_filter, - xgboost_clip_filter) + xgboost_clip_filter, + two_way_window_filter, + insolation_filter, + hampel_filter, + directional_tukey_filter, + hour_angle_filter) import warnings from conftest import assert_warnings +def test_clearsky_filter(mocker): + ''' Unit tests for clearsky filter wrapper function.''' + measured_poa = pd.Series([1, 1, 0, 1.15, 0.85]) + clearsky_poa = pd.Series([1, 2, 1, 1.00, 1.00]) + + # Check that a ValueError is thrown when a model is passed that + # is not in the acceptable list. + with pytest.raises(ValueError): + clearsky_filter(measured_poa, + clearsky_poa, + model='invalid') + + # Check that the csi_filter function is called + mock_csi_filter = mocker.patch('rdtools.filtering.csi_filter') + clearsky_filter(measured_poa, + clearsky_poa, + model='csi') + mock_csi_filter.assert_called_once() + + # Check that the pvlib_clearsky_filter function is called + mock_pvlib_filter = mocker.patch('rdtools.filtering.pvlib_clearsky_filter') + clearsky_filter(measured_poa, + clearsky_poa, + model='pvlib') + mock_pvlib_filter.assert_called_once() + + def test_csi_filter(): ''' Unit tests for clear sky index filter.''' @@ -28,6 +62,27 @@ def test_csi_filter(): assert filtered.tolist() == expected_result.tolist() +@pytest.mark.parametrize("lookup_parameters", [True, False]) +def test_pvlib_clearsky_filter(lookup_parameters): + ''' Unit tests for pvlib clear sky filter.''' + + index = pd.date_range(start='01/05/2024 15:00', periods=120, freq='min') + poa_global_clearsky = pd.Series(np.linspace(800, 919, 120), index=index) + + # Add cloud event + poa_global_measured = poa_global_clearsky.copy() + poa_global_measured.iloc[60:70] = [500, 400, 300, 200, 100, 0, 100, 200, 300, 400] + + filtered = pvlib_clearsky_filter(poa_global_measured, + poa_global_clearsky, + window_length=10, + lookup_parameters=lookup_parameters) + + # Expect clearsky index is filtered. + expected_result = poa_global_measured > 500 + pd.testing.assert_series_equal(filtered, expected_result) + + def test_poa_filter(): ''' Unit tests for plane of array insolation filter.''' @@ -145,29 +200,28 @@ def test_logic_clip_filter(generate_power_time_series_no_clipping, generate_power_time_series_no_clipping # Test that a Type Error is raised when a pandas series # without a datetime index is used. - pytest.raises(TypeError, logic_clip_filter, - power_no_datetime_index_nc) + with pytest.raises(TypeError): + logic_clip_filter(power_no_datetime_index_nc) # Test that an error is thrown when we don't include the correct # mounting configuration input - pytest.raises(ValueError, logic_clip_filter, - power_datetime_index_nc, 'not_fixed') + with pytest.raises(ValueError): + logic_clip_filter(power_datetime_index_nc, 'not_fixed') # Test that an error is thrown when there are 10 or fewer readings # in the time series - pytest.raises(Exception, logic_clip_filter, - power_datetime_index_nc[:9]) + with pytest.raises(Exception): + logic_clip_filter(power_datetime_index_nc[:9]) # Test that a warning is thrown when the time series is tz-naive warnings.simplefilter("always") with warnings.catch_warnings(record=True) as record: logic_clip_filter(power_nc_tz_naive) # Warning thrown for it being an experimental filter + tz-naive - assert_warnings(['The logic-based filter is an experimental', - 'Function expects timestamps in local time'], + assert_warnings(['Function expects timestamps in local time'], record) # Scramble the index and run through the filter. This should throw # an IndexError. power_datetime_index_nc_shuffled = power_datetime_index_nc.sample(frac=1) - pytest.raises(IndexError, logic_clip_filter, - power_datetime_index_nc_shuffled, 'fixed') + with pytest.raises(IndexError): + logic_clip_filter(power_datetime_index_nc_shuffled, 'fixed') # Generate 1-minute interval data, run it through the function, and # check that the associated data returned is 1-minute power_datetime_index_one_min_intervals = \ @@ -183,8 +237,7 @@ def test_logic_clip_filter(generate_power_time_series_no_clipping, logic_clip_filter(power_datetime_index_irregular) # Warning thrown for it being an experimental filter + irregular # sampling frequency. - assert_warnings(['The logic-based filter is an experimental', - 'Variable sampling frequency across time series'], + assert_warnings(['Variable sampling frequency across time series'], record) # Check that the returned time series index for the logic filter is @@ -217,16 +270,16 @@ def test_xgboost_clip_filter(generate_power_time_series_no_clipping, generate_power_time_series_no_clipping # Test that a Type Error is raised when a pandas series # without a datetime index is used. - pytest.raises(TypeError, xgboost_clip_filter, - power_no_datetime_index_nc) + with pytest.raises(TypeError): + xgboost_clip_filter(power_no_datetime_index_nc) # Test that an error is thrown when we don't include the correct # mounting configuration input - pytest.raises(ValueError, xgboost_clip_filter, - power_datetime_index_nc, 'not_fixed') + with pytest.raises(ValueError): + xgboost_clip_filter(power_datetime_index_nc, 'not_fixed') # Test that an error is thrown when there are 10 or fewer readings # in the time series - pytest.raises(Exception, xgboost_clip_filter, - power_datetime_index_nc[:9]) + with pytest.raises(Exception): + xgboost_clip_filter(power_datetime_index_nc[:9]) # Test that a warning is thrown when the time series is tz-naive warnings.simplefilter("always") with warnings.catch_warnings(record=True) as record: @@ -238,8 +291,8 @@ def test_xgboost_clip_filter(generate_power_time_series_no_clipping, # Scramble the index and run through the filter. This should throw # an IndexError. power_datetime_index_nc_shuffled = power_datetime_index_nc.sample(frac=1) - pytest.raises(IndexError, xgboost_clip_filter, - power_datetime_index_nc_shuffled, 'fixed') + with pytest.raises(IndexError): + xgboost_clip_filter(power_datetime_index_nc_shuffled, 'fixed') # Generate 1-minute interval data, run it through the function, and # check that the associated data returned is 1-minute power_datetime_index_one_min_intervals = \ @@ -289,9 +342,8 @@ def test_clip_filter(generate_power_time_series_no_clipping): # Check that a ValueError is thrown when a model is passed that # is not in the acceptable list. - pytest.raises(ValueError, clip_filter, - power_datetime_index_nc, - 'random_forest') + with pytest.raises(ValueError): + clip_filter(power_datetime_index_nc, 'random_forest') # Check that the wrapper handles the xgboost clipping # function with kwargs. filtered_xgboost = clip_filter(power_datetime_index_nc, @@ -305,9 +357,10 @@ def test_clip_filter(generate_power_time_series_no_clipping): rolling_range_max_cutoff=0.3) # Check that the function returns a Typr Error if a wrong keyword # arg is passed in the kwarg arguments. - pytest.raises(TypeError, clip_filter, power_datetime_index_nc, - 'xgboost', - rolling_range_max_cutoff=0.3) + with pytest.raises(TypeError): + clip_filter(power_datetime_index_nc, + 'xgboost', + rolling_range_max_cutoff=0.3) assert bool((expected_result_quantile == filtered_quantile) .all(axis=None)) assert bool(filtered_xgboost.all(axis=None)) @@ -333,3 +386,101 @@ def test_normalized_filter_default(): pd.testing.assert_series_equal(normalized_filter( pd.Series([0.01 - eps, 0.01 + eps, 1e308])), pd.Series([False, True, True])) + + +def test_two_way_window_filter(): + # Create a pandas Series with 10 entries and daily index + index = pd.date_range(start='1/1/2022', periods=10, freq='D') + series = pd.Series([1, 2, 3, 4, 20, 6, 7, 8, 9, 10], index=index) + + # Call the function with the test data + result = two_way_window_filter(series) + + # Check that the result is a pandas Series of the same length as the input + assert isinstance(result, pd.Series) + assert len(result) == len(series) + + # Check that the result only contains boolean values + assert set(result.unique()).issubset({True, False}) + + # Check that the result is as expected + # Here we're checking that the outlier is marked as False + expected_result = pd.Series([True]*4 + [False]*2 + [True]*4, index=index) + pd.testing.assert_series_equal(result, expected_result) + + +def test_insolation_filter(): + # Create a pandas Series with 10 entries + series = pd.Series([1, 2, 3, 4, 5, 6, 7, 8, 9, 10]) + + # Call the function with the test data + result = insolation_filter(series) + + # Check that the result is a pandas Series of the same length as the input + assert isinstance(result, pd.Series) + assert len(result) == len(series) + + # Check that the result only contains boolean values + assert set(result.unique()).issubset({True, False}) + + # Check that the result is as expected + # Here we're checking that the bottom 10% of values are marked as False + expected_result = pd.Series([False] + [True]*9) + pd.testing.assert_series_equal(result, expected_result) + + +def test_hampel_filter(): + # Create a pandas Series with 10 entries and daily index + index = pd.date_range(start='1/1/2022', periods=10, freq='D') + series = pd.Series([1, 2, 3, 4, 100, 6, 7, 8, 9, 10], index=index) + + # Call the function with the test data + result = hampel_filter(series) + + # Check that the result is a pandas Series of the same length as the input + assert isinstance(result, pd.Series) + assert len(result) == len(series) + + # Check that the result only contains boolean values + assert set(result.unique()).issubset({True, False}) + + # Check that the result is as expected + expected_result = pd.Series([True]*3 + [True] + [False] + [True]*5, index=index) + pd.testing.assert_series_equal(result, expected_result) + + +def test_directional_tukey_filter(): + # Create a pandas Series with 10 entries and daily index + index = pd.date_range(start='1/1/2022', periods=7, freq='D') + series = pd.Series([1, 2, 3, 25, 4, 5, 6], index=index) + + # Call the function with the test data + result = directional_tukey_filter(series) + + # Check that the result is a pandas Series of the same length as the input + assert isinstance(result, pd.Series) + assert len(result) == len(series) + + # Check that the result is as expected + expected_result = pd.Series([True, True, True, False, True, True, True], index=index) + pd.testing.assert_series_equal(result, expected_result) + + +def test_hour_angle_filter(): + # Create a pandas Series with 5 entries and 15 min index + index = pd.date_range(start='29/04/2022 15:00', periods=5, freq='H') + series = pd.Series([1, 2, 3, 4, 5], index=index) + + # Define latitude and longitude + lat, lon = 39.7413, -105.1684 # NREL, Golden, CO + + # Call the function with the test data + result = hour_angle_filter(series, lat, lon) + + # Check that the result is a pandas Series of the same length as the input + assert isinstance(result, pd.Series) + assert len(result) == len(series) + + # Check that the result is the correct boolean Series + expected_result = pd.Series([False, False, True, True, True], index=index) + pd.testing.assert_series_equal(result, expected_result) diff --git a/rdtools/test/interpolate_test.py b/rdtools/test/interpolate_test.py index 448d3ed39..adad02970 100644 --- a/rdtools/test/interpolate_test.py +++ b/rdtools/test/interpolate_test.py @@ -2,24 +2,27 @@ import numpy as np from rdtools import interpolate import pytest +import warnings @pytest.fixture def time_series(): - times = pd.date_range('2018-04-01 12:00', '2018-04-01 13:15', freq='15T') - time_series = pd.Series(data=[9, 6, 3, 3, 6, 9], index=times, name='foo') + times = pd.date_range("2018-04-01 12:00", "2018-04-01 13:15", freq="15T") + time_series = pd.Series(data=[9, 6, 3, 3, 6, 9], index=times, name="foo") time_series = time_series.drop(times[4]) return time_series @pytest.fixture def target_index(time_series): - return pd.date_range(time_series.index.min(), time_series.index.max(), freq='20T') + return pd.date_range(time_series.index.min(), time_series.index.max(), freq="20T") @pytest.fixture def expected_series(target_index, time_series): - return pd.Series(data=[9.0, 5.0, 3.0, np.nan], index=target_index, name=time_series.name) + return pd.Series( + data=[9.0, 5.0, 3.0, np.nan], index=target_index, name=time_series.name + ) @pytest.fixture @@ -27,8 +30,8 @@ def test_df(time_series): time_series1 = time_series.copy() time_series2 = time_series.copy() - time_series2.index = time_series2.index + pd.to_timedelta('30 minutes') - time_series2.name = 'bar' + time_series2.index = time_series2.index + pd.to_timedelta("30 minutes") + time_series2.name = "bar" test_df = pd.concat([time_series1, time_series2], axis=1) @@ -37,17 +40,17 @@ def test_df(time_series): @pytest.fixture def df_target_index(target_index): - return target_index + pd.to_timedelta('15 minutes') + return target_index + pd.to_timedelta("15 minutes") @pytest.fixture def df_expected_result(df_target_index, test_df): col0 = test_df.columns[0] col1 = test_df.columns[1] - expected_df_result = pd.DataFrame({ - col0: [6.0, 3.0, np.nan, 9.0], - col1: [np.nan, 8.0, 4.0, 3.0] - }, index=df_target_index) + expected_df_result = pd.DataFrame( + {col0: [6.0, 3.0, np.nan, 9.0], col1: [np.nan, 8.0, 4.0, 3.0]}, + index=df_target_index, + ) expected_df_result = expected_df_result[test_df.columns] return expected_df_result @@ -55,20 +58,29 @@ def df_expected_result(df_target_index, test_df): def test_interpolate_freq_specification(time_series, target_index, expected_series): # test the string specification - interpolated = interpolate(time_series, target_index.freq.freqstr, - pd.to_timedelta('15 minutes'), warning_threshold=0.21) + interpolated = interpolate( + time_series, + target_index.freq.freqstr, + pd.to_timedelta("15 minutes"), + warning_threshold=0.21, + ) pd.testing.assert_series_equal(interpolated, expected_series) # test the DateOffset specification - interpolated = interpolate(time_series, target_index.freq, pd.to_timedelta('15 minutes'), - warning_threshold=0.21) + interpolated = interpolate( + time_series, + target_index.freq, + pd.to_timedelta("15 minutes"), + warning_threshold=0.21, + ) pd.testing.assert_series_equal(interpolated, expected_series) def test_interpolate_calculation(time_series, target_index, expected_series): - interpolated = interpolate(time_series, target_index, pd.to_timedelta('15 minutes'), - warning_threshold=0.21) + interpolated = interpolate( + time_series, target_index, pd.to_timedelta("15 minutes"), warning_threshold=0.21 + ) pd.testing.assert_series_equal(interpolated, expected_series) @@ -81,25 +93,28 @@ def test_interpolate_two_argument(time_series, target_index, expected_series): def test_interpolate_tz_validation(time_series, target_index, expected_series): with pytest.raises(ValueError): - interpolate(time_series, target_index.tz_localize('UTC'), pd.to_timedelta('15 minutes')) + interpolate( + time_series, target_index.tz_localize("UTC"), pd.to_timedelta("15 minutes") + ) time_series = time_series.copy() - time_series.index = time_series.index.tz_localize('UTC') + time_series.index = time_series.index.tz_localize("UTC") with pytest.raises(ValueError): - interpolate(time_series, target_index, pd.to_timedelta('15 minutes')) + interpolate(time_series, target_index, pd.to_timedelta("15 minutes")) def test_interpolate_same_tz(time_series, target_index, expected_series): time_series = time_series.copy() expected_series = expected_series.copy() - time_series.index = time_series.index.tz_localize('America/Denver') - target_index = target_index.tz_localize('America/Denver') - expected_series.index = expected_series.index.tz_localize('America/Denver') + time_series.index = time_series.index.tz_localize("America/Denver") + target_index = target_index.tz_localize("America/Denver") + expected_series.index = expected_series.index.tz_localize("America/Denver") - interpolated = interpolate(time_series, target_index, pd.to_timedelta('15 minutes'), - warning_threshold=0.21) + interpolated = interpolate( + time_series, target_index, pd.to_timedelta("15 minutes"), warning_threshold=0.21 + ) pd.testing.assert_series_equal(interpolated, expected_series) @@ -107,18 +122,22 @@ def test_interpolate_different_tz(time_series, target_index, expected_series): time_series = time_series.copy() expected_series = expected_series.copy() - time_series.index = time_series.index.tz_localize('America/Denver').tz_convert('UTC') - target_index = target_index.tz_localize('America/Denver') - expected_series.index = expected_series.index.tz_localize('America/Denver') + time_series.index = time_series.index.tz_localize("America/Denver").tz_convert( + "UTC" + ) + target_index = target_index.tz_localize("America/Denver") + expected_series.index = expected_series.index.tz_localize("America/Denver") - interpolated = interpolate(time_series, target_index, pd.to_timedelta('15 minutes'), - warning_threshold=0.21) + interpolated = interpolate( + time_series, target_index, pd.to_timedelta("15 minutes"), warning_threshold=0.21 + ) pd.testing.assert_series_equal(interpolated, expected_series) def test_interpolate_dataframe(test_df, df_target_index, df_expected_result): - interpolated = interpolate(test_df, df_target_index, pd.to_timedelta('15 minutes'), - warning_threshold=0.21) + interpolated = interpolate( + test_df, df_target_index, pd.to_timedelta("15 minutes"), warning_threshold=0.21 + ) pd.testing.assert_frame_equal(interpolated, df_expected_result) @@ -126,15 +145,23 @@ def test_interpolate_warning(test_df, df_target_index, df_expected_result): N = len(test_df) all_idx = list(range(N)) # drop every other value in the first third of the dataset - index_with_gaps = all_idx[:N//3][::2] + all_idx[N//3:] + index_with_gaps = all_idx[: N // 3][::2] + all_idx[N // 3:] test_df = test_df.iloc[index_with_gaps, :] with pytest.warns(UserWarning): - interpolate(test_df, df_target_index, pd.to_timedelta('15 minutes'), - warning_threshold=0.1) - - with pytest.warns(None) as record: - interpolate(test_df, df_target_index, pd.to_timedelta('15 minutes'), - warning_threshold=0.5) - if 'Fraction of excluded data' in ';'.join([str(x.message) for x in record.list]): - pytest.fail("normalize.interpolate raised a warning about " - "excluded data even though the threshold was high") + interpolate( + test_df, + df_target_index, + pd.to_timedelta("15 minutes"), + warning_threshold=0.1, + ) + + with warnings.catch_warnings(): + warnings.simplefilter("error") + interpolate( + test_df, + df_target_index, + pd.to_timedelta("15 minutes"), + warning_threshold=0.5, + ) + warnings.filterwarnings("error", message="Fraction of excluded data") + # if this test fails, it means a warning was raised that was not expected diff --git a/rdtools/test/irradiance_rescale_test.py b/rdtools/test/irradiance_rescale_test.py index b065dde86..300c2e71e 100644 --- a/rdtools/test/irradiance_rescale_test.py +++ b/rdtools/test/irradiance_rescale_test.py @@ -7,19 +7,24 @@ @pytest.fixture def simple_irradiance(): - times = pd.date_range('2019-06-01 12:00', freq='15T', periods=5) + times = pd.date_range("2019-06-01 12:00", freq="15T", periods=5) time_series = pd.Series([1, 2, 3, 4, 5], index=times, dtype=float) return time_series -@pytest.mark.parametrize("method", ['iterative', 'single_opt']) +@pytest.mark.parametrize("method", ["iterative", "single_opt", "error"]) def test_rescale(method, simple_irradiance): # test basic functionality - modeled = simple_irradiance - measured = 1.05 * simple_irradiance - rescaled = irradiance_rescale(measured, modeled, method=method) - expected = measured - assert_series_equal(rescaled, expected, check_exact=False) + if method == "error": + with pytest.raises(ValueError): + irradiance_rescale(simple_irradiance, simple_irradiance * 1.05, method=method) + + else: + modeled = simple_irradiance + measured = 1.05 * simple_irradiance + rescaled = irradiance_rescale(measured, modeled, method=method) + expected = measured + assert_series_equal(rescaled, expected, check_exact=False) def test_max_iterations(simple_irradiance): @@ -31,11 +36,9 @@ def test_max_iterations(simple_irradiance): modeled.iloc[4] *= 0.8 with pytest.raises(ConvergenceError): - _ = irradiance_rescale(measured, modeled, method='iterative', - max_iterations=2) + _ = irradiance_rescale(measured, modeled, method="iterative", max_iterations=2) - _ = irradiance_rescale(measured, modeled, method='iterative', - max_iterations=10) + _ = irradiance_rescale(measured, modeled, method="iterative", max_iterations=10) def test_max_iterations_zero(simple_irradiance): @@ -43,26 +46,32 @@ def test_max_iterations_zero(simple_irradiance): # test series already close enough true_factor = 1.0 + 1e-8 - rescaled = irradiance_rescale(simple_irradiance, - simple_irradiance * true_factor, - max_iterations=0, - method='iterative') + rescaled = irradiance_rescale( + simple_irradiance, + simple_irradiance * true_factor, + max_iterations=0, + method="iterative", + ) assert_series_equal(rescaled, simple_irradiance, check_exact=False) # tighten threshold so that it isn't already close enough with pytest.raises(ConvergenceError): - _ = irradiance_rescale(simple_irradiance, - simple_irradiance * true_factor, - max_iterations=0, - convergence_threshold=1e-9, - method='iterative') + _ = irradiance_rescale( + simple_irradiance, + simple_irradiance * true_factor, + max_iterations=0, + convergence_threshold=1e-9, + method="iterative", + ) def test_convergence_threshold(simple_irradiance): # can't converge if threshold is negative with pytest.raises(ConvergenceError): - _ = irradiance_rescale(simple_irradiance, - simple_irradiance * 1.05, - max_iterations=5, # reduced count for speed - convergence_threshold=-1, - method='iterative') + _ = irradiance_rescale( + simple_irradiance, + simple_irradiance * 1.05, + max_iterations=5, # reduced count for speed + convergence_threshold=-1, + method="iterative", + ) diff --git a/rdtools/test/normalization_sapm_test.py b/rdtools/test/normalization_sapm_test.py deleted file mode 100644 index 12f9fb82b..000000000 --- a/rdtools/test/normalization_sapm_test.py +++ /dev/null @@ -1,125 +0,0 @@ -""" Energy Normalization with SAPM Unit Tests. """ - -import unittest -import pytest - -import pandas as pd -import numpy as np -import pvlib - -from rdtools.normalization import normalize_with_sapm -from rdtools.normalization import sapm_dc_power - -from conftest import fail_on_rdtools_version, requires_pvlib_below_090 -from rdtools._deprecation import rdtoolsDeprecationWarning - - -@requires_pvlib_below_090 -class SapmNormalizationTestCase(unittest.TestCase): - ''' Unit tests for energy normalization module. ''' - - def setUp(self): - # define module constants and parameters - module = {} - module['A0'] = 0.0315 - module['A1'] = 0.05975 - module['A2'] = -0.01067 - module['A3'] = 0.0008 - module['A4'] = -2.24e-5 - module['B0'] = 1 - module['B1'] = -0.002438 - module['B2'] = 0.00031 - module['B3'] = -1.246e-5 - module['B4'] = 2.11e-7 - module['B5'] = -1.36e-9 - module['FD'] = 1 - module_parameters = { - 'pdc0': 2.1, - 'gamma_pdc': -0.0045 - } - - # define location - test_location = pvlib.location\ - .Location(latitude=37.88447702, longitude=-122.2652549) - - self.pvsystem = pvlib.pvsystem\ - .LocalizedPVSystem(location=test_location, - surface_tilt=20, - surface_azimuth=180, - module=module, - module_parameters=module_parameters, - racking_model='insulated_back', - module_type='glass_polymer', - modules_per_string=6) - - # define dummy energy data - energy_freq = 'MS' - energy_periods = 12 - energy_index = pd.date_range(start='2012-01-01', - periods=energy_periods, - freq=energy_freq) - - dummy_energy = np.repeat(a=100, repeats=energy_periods) - self.energy = pd.Series(dummy_energy, index=energy_index) - self.energy_periods = 12 - - # define dummy meteorological data - irrad_columns = ['DNI', 'GHI', 'DHI', 'Temperature', 'Wind Speed'] - irrad_freq = 'D' - irrad_index = pd.date_range(start=energy_index[0], - end=energy_index[-1] - pd.to_timedelta('1 nanosecond'), - freq=irrad_freq) - self.irrad = pd.DataFrame([[100, 45, 30, 25, 10]], - index=irrad_index, - columns=irrad_columns) - - # define an irregular pandas series - times = pd.DatetimeIndex(['2012-01-01 12:00', '2012-01-01 12:05', '2012-01-01 12:06', - '2012-01-01 12:09']) - data = [1, 2, 3, 4] - self.irregular_timeseries = pd.Series(data=data, index=times) - - def tearDown(self): - pass - - @fail_on_rdtools_version('3.0.0') - def test_sapm_dc_power(self): - ''' Test SAPM DC power. ''' - - with pytest.warns(rdtoolsDeprecationWarning): - dc_power, poa = sapm_dc_power(self.pvsystem, self.irrad) - self.assertEqual(self.irrad.index.freq, dc_power.index.freq) - self.assertEqual(len(self.irrad), len(dc_power)) - - @fail_on_rdtools_version('3.0.0') - def test_normalization_with_sapm(self): - ''' Test SAPM normalization. ''' - - sapm_kws = { - 'pvlib_pvsystem': self.pvsystem, - 'met_data': self.irrad, - } - - with pytest.warns(rdtoolsDeprecationWarning): - corr_energy, insol = normalize_with_sapm(self.energy, sapm_kws) - - # Test output is same frequency and length as energy - self.assertEqual(corr_energy.index.freq, self.energy.index.freq) - # Expected behavior is to have a nan at energy.index[0] - self.assertEqual(len(corr_energy.dropna()), len(self.energy)-1) - - # Test for valueError when energy frequency can't be inferred - with self.assertRaises(ValueError): - with pytest.warns(rdtoolsDeprecationWarning): - corr_energy, insolation = normalize_with_sapm(self.irregular_timeseries, sapm_kws) - - # TODO, test for: - # incorrect data format - # incomplete data - # missing pvsystem metadata - # missing measured irradiance data - # met_data freq > energy freq, issue/warining? - - -if __name__ == '__main__': - unittest.main() diff --git a/rdtools/test/plotting_test.py b/rdtools/test/plotting_test.py index f6b5ca4c1..7a3aeb877 100644 --- a/rdtools/test/plotting_test.py +++ b/rdtools/test/plotting_test.py @@ -9,11 +9,14 @@ soiling_interval_plot, soiling_rate_histogram, tune_filter_plot, - availability_summary_plots + availability_summary_plots, + degradation_timeseries_plot ) import matplotlib.pyplot as plt +import matplotlib import plotly import pytest +import re from conftest import assert_isinstance @@ -81,6 +84,12 @@ def test_degradation_summary_plots_kwargs(degradation_info): result = degradation_summary_plots(yoy_rd, yoy_ci, yoy_info, power, **kwargs) assert_isinstance(result, plt.Figure) + + # ensure the number of points is included when detailed=True + ax = result.axes[1] + labels = [c for c in ax.get_children() if isinstance(c, matplotlib.text.Annotation)] + text = labels[0].get_text() + assert re.search(r'n = \d', text) plt.close('all') @@ -239,3 +248,12 @@ def test_availability_summary_plots_empty(availability_analysis_object): empty) assert_isinstance(result, plt.Figure) plt.close('all') + + +def test_degradation_timeseries_plot(degradation_info): + power, yoy_rd, yoy_ci, yoy_info = degradation_info + + # test defaults + result = degradation_timeseries_plot(yoy_info) + assert_isinstance(result, plt.Figure) + plt.close('all') diff --git a/rdtools/test/soiling_cods_test.py b/rdtools/test/soiling_cods_test.py new file mode 100644 index 000000000..62046fd83 --- /dev/null +++ b/rdtools/test/soiling_cods_test.py @@ -0,0 +1,165 @@ +'''Test methods for the CODS-method to soiling analysis''' +import pandas as pd +import numpy as np +import rdtools.soiling as soiling +import pytest +# from rdtools.test.conftest import cods_normalized_daily + + +def test_iterative_signal_decomposition(cods_normalized_daily): + ''' Test iterative_signal_decomposition with fixed test case ''' + np.random.seed(1977) + cods = soiling.CODSAnalysis(cods_normalized_daily) + df_out, results_dict = \ + cods.iterative_signal_decomposition() + assert 0.080641 == pytest.approx(results_dict['degradation'], abs=1e-6), \ + 'Degradation rate different from expected value' + assert 3.305136 == pytest.approx(results_dict['soiling_loss'], abs=1e-6), \ + 'Soiling loss different from expected value' + assert 0.999359 == pytest.approx(results_dict['residual_shift'], abs=1e-6), \ + 'Residual shift different from expected value' + assert 0.008144 == pytest.approx(results_dict['RMSE'], abs=1e-6), \ + 'RMSE different from expected value' + assert not results_dict['small_soiling_signal'], \ + 'Small soiling signal assertion different from expected value' + assert 7.019626e-11 == pytest.approx(results_dict['adf_res'][1], abs=1e-6), \ + 'p-value of Augmented Dickey-Fuller test different from expected value' + + # Check result dataframe + expected_columns = \ + ['soiling_ratio', 'soiling_rates', 'cleaning_events', + 'seasonal_component', 'degradation_trend', 'total_model', 'residuals'] + actual_columns = df_out.columns.values + for x in actual_columns: + assert x in expected_columns, \ + "'{}' not an expected column in result_df]".format(x) + for x in expected_columns: + assert x in actual_columns, \ + "'{}' was expected as a column, but not in result_df".format(x) + assert isinstance(df_out, pd.DataFrame), 'result_df not a dataframe' + expected_means = pd.Series({'soiling_ratio': 0.9669486267086722, + 'soiling_rates': -0.0024630658969236213, + 'cleaning_events': 0.04644808743169399, + 'seasonal_component': 1.0001490302365126, + 'degradation_trend': 1.0008062064560372, + 'total_model': 0.9672468949656685, + 'residuals': 0.9993594568230086}) + expected_means = expected_means[ + ['soiling_ratio', 'soiling_rates', 'cleaning_events', + 'seasonal_component', 'degradation_trend', 'total_model', 'residuals']] + pd.testing.assert_series_equal(expected_means, df_out.mean(), + check_exact=False, rtol=1e-3) + + +def test_iterative_signal_decomposition_with_nan_interval(cods_normalized_daily): + ''' Test the CODS algorithm with fixed test case with a NaN period''' + normalized_corrupt = cods_normalized_daily.copy() + normalized_corrupt[26:50] = np.nan + np.random.seed(1977) + cods = soiling.CODSAnalysis(normalized_corrupt) + df_out, results_dict = \ + cods.iterative_signal_decomposition() + assert -0.004968 == pytest.approx(results_dict['degradation'], abs=1e-5), \ + 'Degradation rate different from expected value' + assert 3.232171 == pytest.approx(results_dict['soiling_loss'], abs=1e-5), \ + 'Soiling loss different from expected value' + assert 1.000108 == pytest.approx(results_dict['residual_shift'], abs=1e-5), \ + 'Residual shift different from expected value' + assert 0.008184 == pytest.approx(results_dict['RMSE'], abs=1e-5), \ + 'RMSE different from expected value' + assert not results_dict['small_soiling_signal'], \ + 'Small soiling signal assertion different from expected value' + assert 1.230754e-8 == pytest.approx(results_dict['adf_res'][1], abs=1e-6), \ + 'p-value of Augmented Dickey-Fuller test different from expected value' + + # Check result dataframe + assert isinstance(df_out, pd.DataFrame), 'result_df not a dataframe' + expected_means = pd.Series({'soiling_ratio': 0.967678, + 'soiling_rates': -0.002366, + 'cleaning_events': 0.045082, + 'seasonal_component': 1.000192, + 'degradation_trend': 0.999950, + 'total_model': 0.967915, + 'residuals': 1.000108}) + expected_means = expected_means[ + ['soiling_ratio', 'soiling_rates', 'cleaning_events', + 'seasonal_component', 'degradation_trend', 'total_model', 'residuals']] + pd.testing.assert_series_equal(expected_means, df_out.mean(), + check_exact=False, rtol=1e-3) + + +def test_soiling_cods(cods_normalized_daily): + ''' Test the CODS algorithm with fixed test case and 16 repetitions''' + reps = 16 + np.random.seed(1977) + sr, sr_ci, deg, deg_ci, result_df = soiling.soiling_cods(cods_normalized_daily, + reps=reps, + verbose=True) + assert 0.962207 == pytest.approx(sr, abs=0.5), \ + 'Soiling ratio different from expected value' + assert np.array([0.96662419, 0.95692131]) == pytest.approx(sr_ci, abs=0.5), \ + 'Confidence interval of SR different from expected value' + assert 0.09 == pytest.approx(deg, abs=0.5), \ + 'Degradation rate different from expected value' + assert np.array([-0.17143952, 0.39313724]) == pytest.approx(deg_ci, abs=0.5), \ + 'Confidence interval of degradation rate different from expected value' + + # Check result dataframe + expected_summary_columns = \ + ['soiling_ratio', 'soiling_rates', 'cleaning_events', + 'seasonal_component', 'degradation_trend', 'total_model', 'residuals', + 'SR_low', 'SR_high', 'rates_low', 'rates_high', 'bt_soiling_ratio', + 'bt_soiling_rates', 'seasonal_low', 'seasonal_high', 'model_low', + 'model_high'] + actual_summary_columns = result_df.columns.values + for x in actual_summary_columns: + assert x in expected_summary_columns, \ + "'{}' not an expected column in result_df]".format(x) + for x in expected_summary_columns: + assert x in actual_summary_columns, \ + "'{}' was expected as a column, but not in result_df".format(x) + + +def test_soiling_cods_small_signal(cods_normalized_daily_small_soiling): + ''' Test the CODS algorithm with small soiling signal''' + reps = 16 + np.random.seed(1977) + warn_small_signal = ( + 'Soiling signal is small relative to the noise. ' + 'Iterative decomposition not possible. ' + 'Degradation found by RdTools YoY.') + + with pytest.warns(UserWarning, match=warn_small_signal): + soiling.soiling_cods(cods_normalized_daily_small_soiling, reps=reps) + + +def test_Kalman_filter_for_SR(cods_normalized_daily): + '''Test the Kalman Filter method in CODS''' + cods = soiling.CODSAnalysis(cods_normalized_daily) + dfk, Ps = cods._Kalman_filter_for_SR(cods_normalized_daily) + + # Check if results are okay + assert dfk.isna().sum().sum() == 0, "NaNs were found in Kalman Filter results" + assert (dfk.index == cods_normalized_daily.index).all(), \ + "Index returned from Kalman Filter is not as expected" + expected_columns = ['raw_pi', 'raw_rates', 'smooth_pi', 'smooth_rates', 'soiling_ratio', + 'soiling_rates', 'cleaning_events', 'days_since_ce'] + actual_columns = dfk.columns.values + for x in actual_columns: + assert x in expected_columns, \ + "'{}' not an expected column in Kalman Filter results]".format(x) + for x in expected_columns: + assert x in actual_columns, \ + "'{}' was expected as a column, but not in Kalman Filter results".format(x) + assert Ps.shape == (732, 2, 2), "Shape of array of covariance matrices (Ps) not as expected" + + +def test_make_seasonal_samples(cods_normalized_daily): + '''Test the make seasonal samples method.''' + sample_nr = 10 + seasonal_dummy = cods_normalized_daily.iloc[100:] + samples = soiling._make_seasonal_samples([seasonal_dummy, ], sample_nr) + assert samples.index.equals(seasonal_dummy.index), \ + "The seasonal samples dataframe has an unexpected index" + assert samples.shape[1] == sample_nr, \ + "The seasonal samples dataframe has an unexpected number of columns" diff --git a/requirements-min.txt b/requirements-min.txt index 86fd14bcf..db8412109 100644 --- a/requirements-min.txt +++ b/requirements-min.txt @@ -1,12 +1,14 @@ h5py==2.8.0 matplotlib==3.0.0 numpy==1.17.3 -pandas==1.3.0 -pvlib==0.7.0 +pandas==1.3 +pvlib==0.9.0 scipy==1.2.0 -statsmodels==0.11.0 +statsmodels==0.11.1 tables==3.5.1 numexpr==2.7.1 # https://github.com/pydata/numexpr/issues/369 +arch==4.11 +filterpy==1.4.5 plotly==4.0.0 xgboost==1.3.3 -scikit-learn==0.22.0 \ No newline at end of file +scikit-learn==0.22.0 diff --git a/requirements.txt b/requirements.txt index 44c2fe254..9759c786e 100644 --- a/requirements.txt +++ b/requirements.txt @@ -2,8 +2,8 @@ cached-property==1.5.2 certifi==2023.7.22 chardet==4.0.0 cycler==0.10.0 -fonttools==4.37.1 -h5py==3.6.0 +fonttools==4.43.0 +h5py==3.11.0 idna==2.10 joblib==1.2.0 kiwisolver==1.3.2 @@ -16,8 +16,10 @@ Pillow==10.3.0 plotly==4.10.0 pvlib==0.9.0 pyparsing==2.4.7 -python-dateutil==2.8.1 +python-dateutil==2.8.2 pytz==2019.3 +arch==5.6.0 +filterpy==1.4.5 requests==2.31.0 retrying==1.3.3 scikit-learn==1.0.2 @@ -27,6 +29,7 @@ six==1.14.0 statsmodels==0.13.1 threadpoolctl==3.1.0 tomli==2.0.1 -typing_extensions==4.3.0 +typing_extensions==4.11.0 urllib3==1.26.18 xgboost==1.5.1 + diff --git a/setup.py b/setup.py old mode 100644 new mode 100755 index 4a7519665..d7a493cb8 --- a/setup.py +++ b/setup.py @@ -33,6 +33,7 @@ TESTS_REQUIRE = [ 'pytest >= 3.6.3', + 'pytest-cov', 'coverage', 'flake8', 'nbval==0.9.6', # https://github.com/computationalmodelling/nbval/issues/194 @@ -41,18 +42,20 @@ INSTALL_REQUIRES = [ 'matplotlib >= 3.0.0', - 'numpy >= 1.17.3', + 'numpy >= 1.17.3, <2.0', # pandas restricted to <2.1 until # https://github.com/pandas-dev/pandas/issues/55794 # is resolved 'pandas >= 1.3.0, <2.1', - 'statsmodels >= 0.11.0', + 'statsmodels >= 0.11.1', 'scipy >= 1.2.0', 'h5py >= 2.8.0', 'plotly>=4.0.0', 'xgboost >= 1.3.3', - 'pvlib >= 0.7.0, <0.11.0', + 'pvlib >= 0.7.0, <0.12.0', 'scikit-learn >= 0.22.0', + 'arch >= 4.11', + 'filterpy >= 1.4.2' ] EXTRAS_REQUIRE = { diff --git a/versioneer.py b/versioneer.py index 64fea1c89..3aa5da372 100644 --- a/versioneer.py +++ b/versioneer.py @@ -339,9 +339,9 @@ def get_config_from_root(root): # configparser.NoOptionError (if it lacks "VCS="). See the docstring at # the top of versioneer.py for instructions on writing your setup.cfg . setup_cfg = os.path.join(root, "setup.cfg") - parser = configparser.SafeConfigParser() + parser = configparser.ConfigParser() with open(setup_cfg, "r") as f: - parser.readfp(f) + parser.read_file(f) VCS = parser.get("versioneer", "VCS") # mandatory def get(parser, name):