diff --git a/.github/workflows/nbval.yaml b/.github/workflows/nbval.yaml index a0ac52017..abc712ae5 100644 --- a/.github/workflows/nbval.yaml +++ b/.github/workflows/nbval.yaml @@ -10,10 +10,10 @@ jobs: fail-fast: false # don't cancel other matrix jobs when one fails matrix: notebook-file: [ - 'TrendAnalysis_example_pvdaq4.ipynb', - 'degradation_and_soiling_example_pvdaq_4.ipynb', + 'TrendAnalysis_example.ipynb', + 'TrendAnalysis_example_NSRDB.ipynb', + 'degradation_and_soiling_example.ipynb', 'system_availability_example.ipynb' - # can't run the DKASC notebook here because it requires pre-downloaded data ] steps: diff --git a/README.md b/README.md index e3e4b5cea..9298a7411 100644 --- a/README.md +++ b/README.md @@ -12,11 +12,11 @@ Code coverage: 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 -tailor their own analyses. -Current applications include the evaluation of PV production over several years to obtain -rates of performance degradation and soiling loss. RdTools can handle -both high frequency (hourly or better) or low frequency (daily, weekly, -etc.) datasets. Best results are obtained with higher frequency data. +tailor their own analyses. Current applications include the evaluation of PV +production over several years to obtain rates of performance degradation and +soiling loss. RdTools can handle both high frequency (hourly or better) or low +frequency (daily, weekly, etc.) datasets. Best results are obtained with higher +frequency data. RdTools can be installed automatically into Python from PyPI using the command line: @@ -27,7 +27,7 @@ pip install rdtools For API documentation and full examples, please see the [documentation](https://rdtools.readthedocs.io). -RdTools currently is tested on Python 3.7+. +RdTools currently is tested on Python 3.9+. ## Citing RdTools diff --git a/docs/TrendAnalysis_example_pvdaq4.ipynb b/docs/TrendAnalysis_example.ipynb similarity index 95% rename from docs/TrendAnalysis_example_pvdaq4.ipynb rename to docs/TrendAnalysis_example.ipynb index 6538bfaba..12be8fb28 100644 --- a/docs/TrendAnalysis_example_pvdaq4.ipynb +++ b/docs/TrendAnalysis_example.ipynb @@ -7,14 +7,16 @@ "# TrendAnalysis object-oriented example\n", "\n", "\n", - "This juypter notebook is intended to demonstrate the RdTools analysis workflow as implemented with the `rdtools.TrendAnalysis` object-oriented API. For a consistent experience, we recommend installing the packages and versions documented in `docs/notebook_requirements.txt`. This can be achieved in your environment by running `pip install -r docs/notebook_requirements.txt` from the base directory. (RdTools must also be separately installed.)\n", + "This juypter notebook is intended to demonstrate the RdTools analysis workflow as implemented with the `rdtools.TrendAnalysis` object-oriented API. For a consistent experience, we recommend installing the packages and versions documented in `docs/notebook_requirements.txt`. This can be achieved in your environment by running `pip install -r docs/notebook_requirements.txt` from the base directory. (RdTools must also be separately installed.) This notebook was tested in python 3.12.\n", "\n", "The calculations consist of two phases:\n", "\n", "1. Import and preliminary calculations: In this step data is important and augmented to enable analysis with RdTools. **No RdTools functions are used in this step. It will vary depending on the particulars of your dataset. Be sure to understand the inputs RdTools requires and make appropriate adjustments.** \n", - "2. Analysis with RdTools: This notebook illustrates the use of the TrendAnalysis API to perform sensor and clearsky degradation rate calculations along with stochastic rate and recovery (SRR) soiling calculations.\n", + "2. Analysis with RdTools: This notebook illustrates the use of the TrendAnalysis API to year on year (YOY) degradation and recovery (SRR) soiling calculations.\n", "\n", - "This notebook works with data from the NREL PVDAQ `[4] NREL x-Si #1` system. Note that because this system does not experience significant soiling, the dataset contains a synthesized soiling signal for use in the soiling section of the example. This notebook automatically downloads and locally caches the dataset used in this example. The data can also be found on the DuraMAT Datahub (https://datahub.duramat.org/dataset/pvdaq-time-series-with-soiling-signal)." + "This notebook works with data from the NREL PVDAQ `[4] NREL x-Si #1` system. Note that because this system does not experience significant soiling, the dataset contains a synthesized soiling signal for use in the soiling section of the example. This notebook automatically downloads and locally caches the dataset used in this example. The data can also be found on the DuraMAT Datahub (https://datahub.duramat.org/dataset/pvdaq-time-series-with-soiling-signal).\n", + "\n", + "An older version of this notebook (RdTools<3) included emphasis on the clear sky workflow which uses clear sky modeled irradiance rather than measured (sensor) irradiance for analysis. The clear sky analysis served to double check the sensor based result for things like sensor drift, but there was high uncertainty with this approach because aerosal optical depth (AOD), an input to the clear sky irradiance model, can change from year to year. Therefore we have de-emphasized the clear sky workflow in this version of the notebook. We also include a new notebook that illustrates the use of satellite irradiance data, which can serve as a check on the sensor-based analysis." ] }, { @@ -124,7 +126,7 @@ "\n", "# There is some missing data, but we can infer the frequency from\n", "# the first several data points\n", - "freq = pd.infer_freq(df.index[:10])\n" + "freq = pd.infer_freq(df.index[:10])" ] }, { @@ -157,6 +159,7 @@ "#ax.set_ylim(0,1500)\n", "fig.autofmt_xdate()\n", "ax.set_ylabel('soiling signal');\n", + "plt.show()\n", "\n", "df['power'] = df['power_ac'] * df['soiling']" ] @@ -194,25 +197,9 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "A second step is required to set up the clearsky model, which needs to be localized and have tilt/orientation information." - ] - }, - { - "cell_type": "code", - "execution_count": 8, - "metadata": {}, - "outputs": [], - "source": [ - "ta.set_clearsky(pvlib_location=loc, pv_tilt=meta['tilt'], pv_azimuth=meta['azimuth'], albedo=0.25)" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "Once the `TrendAnalysis` object is ready, the `sensor_analysis()` and `clearsky_analysis()` methods can be used to deploy the full chain of analysis steps. Results are stored in nested dict, `TrendAnalysis.results`.\n", + "Once the `TrendAnalysis` object is ready, the `sensor_analysis()` method can be used to deploy the full chain of analysis steps. Results are stored in nested dict, `TrendAnalysis.results`.\n", "\n", - "Filters utilized in the analysis can be adjusted by changing the dict `TrendAnalysis.filter_params`.\n", + "New in RdTools 3, there are two filtering steps. The first step occurs after normalization but before aggregation, and the second after aggregation. Filters utilized in the first filtering step can be adjusted by changing the dict `TrendAnalysis.filter_params`. Filters used in the second filtering step can be adjusted by changing the dict `TrendAnalysis.filter_params_aggregated`. \n", "\n", "Here we also illustrate how the aggregated data can be used to estimate soiling losses using the stochastic rate and recovery (SRR) method.1 Since our example system doesn't experience much soiling, we apply an artificially generated soiling signal, just for the sake of example. If the dataset doesn't require special treatment, the 'srr_soiling' analysis type can just be added to the `sensor_analysis` function below. A warning is emitted here because the underlying RdTools soiling module is still experimental and subject to change.\n", "\n", @@ -221,21 +208,20 @@ }, { "cell_type": "code", - "execution_count": 9, + "execution_count": 8, "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ - "/kfs2/projects/pvfleets24/repos/rdtools/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", + "/Users/mdecegli/Documents/GitHub/rdtools/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": [ - "ta.sensor_analysis(analyses=['yoy_degradation','srr_soiling'])\n", - "ta.clearsky_analysis()" + "ta.sensor_analysis(analyses=['yoy_degradation','srr_soiling'])" ] }, { @@ -247,7 +233,7 @@ }, { "cell_type": "code", - "execution_count": 10, + "execution_count": 9, "metadata": {}, "outputs": [], "source": [ @@ -257,7 +243,7 @@ }, { "cell_type": "code", - "execution_count": 11, + "execution_count": 10, "metadata": {}, "outputs": [ { @@ -277,28 +263,7 @@ }, { "cell_type": "code", - "execution_count": 12, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "-1.158\n", - "[-1.807 -0.687]\n" - ] - } - ], - "source": [ - "# Print the clear-sky-based analysis p50 degradation rate and confidence interval\n", - "cs_yoy_results = ta.results['clearsky']['yoy_degradation']\n", - "print(np.round(cs_yoy_results['p50_rd'], 3))\n", - "print(np.round(cs_yoy_results['rd_confidence_interval'], 3))" - ] - }, - { - "cell_type": "code", - "execution_count": 13, + "execution_count": 11, "metadata": {}, "outputs": [ { @@ -326,7 +291,7 @@ }, { "cell_type": "code", - "execution_count": 14, + "execution_count": 12, "metadata": {}, "outputs": [ { @@ -344,35 +309,13 @@ "# check that PV energy is roughly proportional to irradiance\n", "# Loops and other features in this plot can indicate things like\n", "# time zone problems for irradiance transposition errors.\n", - "fig = ta.plot_pv_vs_irradiance('sensor');" - ] - }, - { - "cell_type": "code", - "execution_count": 15, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "# Repeat the check for clear-sky irradiance\n", - "# For this plot, we expect more points below the main point\n", - "# cloud due to cloudy conditions.\n", - "fig = ta.plot_pv_vs_irradiance('clearsky');" + "fig = ta.plot_pv_vs_irradiance('sensor')\n", + "plt.show()" ] }, { "cell_type": "code", - "execution_count": 16, + "execution_count": 13, "metadata": {}, "outputs": [ { @@ -390,44 +333,18 @@ "# Plot the sensor based degradation results\n", "fig = ta.plot_degradation_summary('sensor', summary_title='Sensor-based degradation results',\n", " scatter_ymin=0.5, scatter_ymax=1.1,\n", - " hist_xmin=-30, hist_xmax=45);" - ] - }, - { - "cell_type": "code", - "execution_count": 17, - "metadata": { - "tags": [ - "nbsphinx-thumbnail" - ] - }, - "outputs": [ - { - "data": { - "image/png": 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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "# Plot the clear-sky-based results\n", - "fig = ta.plot_degradation_summary('clearsky', summary_title='Clear-sky-based degradation results',\n", - " scatter_ymin=0.5, scatter_ymax=1.1,\n", - " hist_xmin=-30, hist_xmax=45, plot_color='orangered');" + " hist_xmin=-30, hist_xmax=45)\n", + "plt.show()" ] }, { "cell_type": "code", - "execution_count": 18, + "execution_count": 14, "metadata": {}, "outputs": [ { "data": { - "image/png": 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PcePGITo6Wv86fvw4bty4gejoaMyYMaNIZSgKqpAUAMA6TXcDRwoBHhzmawYDAOpy92yeR6XR4rt9t3Atyb6jiJYXbnhKnb/hH2cr7TdiMIqAswnpePOn0/jxaHxJi8IoIhxao9q5cycOHz6Mr776CqNGjYJWq0VwcDCioqIQGBgISinS0tIQFxeHtLQ0SCQS9OnTB/v27UOHDkXrURYbG4stW7aYbZ8yZQqysrKwcOFC1KxZs0hlcBc1Q71xOyUHQIGjRCINsdj2Pg01ameNhNQ8zNt9Hd/8cwNanmLV8Bb4dOtlvN+9tlnbX07cw9Q/LmHDqDZoUyPYKdkvudkpg8FwlBxdodHUHObEU15x2Jmiffv2aN++PVJSUrB9+3YcPXoU165d08+YgoODMWjQILRt2xZ9+/ZFWFhYkQltSEhICAYOHGi2XYylsrSvNHL1YaZeSQFAVd2M6oEVRfWACoqkCnkCBVRQwrL35YP0PAAF8Vlbzj7Ag/Q8fH/wjlG7becTce5eOoCCG98Z0pinH6OYWf7fbey4+BCvdRCcjZjhr/zidPb00NBQjBgxAiNGjCgKeSosvRce1L+XQYNGRFgTvEsrWWz/GP5IoX4IJZnoLzmKTdpOFtuZIqZoMlQsKg2Pd9a7lhMwNUcFH4UUWfnOKzcGozDM+esaAGD8hnMlKwijyCkXXn+W2L9/Py5dsu0RVxKk5ajQ4Yt/bZrKgpEBBREKI16iURbbUHDYoxW8/6rpZl+OIKYSfJRZsKa0dP9tozbOLFE9v/woPvvzEj7dehnExG+DmWIYxYkLS6uMMkK5VVSllUdZ+bifloev/7lutY1Y1TeF+oHa+Bc9hj8AwB/ZDn+/aWFGAPjz/AOHjzclJUuJ9ScE5xrTB8WDtDyXz8tgOEtGnhp/nHX9WmaUXpiiKmY0uqSz+66l4HKi5VlVJHkEAEixkx4pXZdJXVRsjpCea17C3nBtDHDO1m+a7d0QcX2MwSgOfjx2F+/+eg43HmXZb8woUzBFVcyID3YCYNHemxbbtOIE2/sp3twzz5B0XSqlACdmVI44PTjjnm4rdoUpKkZJoNJYHzwxyiZMURUz91KFRLMUwO7LjyyM/ihGSncBAE7wdW2eK02XA7CT5AJiiGPxanef2M+4rrIxSzJFo7WsqKQSwkx/DAbDLTBFVcwYeihJOILF/94y2l+LFNjYj/P1bJ7rFF8b2dQDADBRut5tMhqOSE/Gp1p1V+d5Cq2V2ZdWS/Eg3b5SZDAYDHswRVWCaHmKbRcScSelwHTXmhPy/WVRT6QgwObxmfDB6+oPAQBPS86iPol3SQ5Tb733N57HBxvPg+cphiw7ivZf/GvRHPjfDevehuKMMTPffE2MwWAwnMEhRcVxHCQSidMvhn04QvDc0iP6z9VJMgDgCo106PhjfD199d8XJXtdksHSpOj3M/f1s6X0XDX+PJ+o35ev1gIAPvjtvN1zX0ks+RpfDAajbONQwO+nn34KYjLs3rJlCy5fvoyePXuiTp06AIBr167h77//RmxsbJnJCFGcPLGQD0/LU6QZeOKJjhGHtI4WniSYrB6Jb+WL0VVyFtBQCK4ahcfQUeLXkwmoF+EHjZaiz6KDWPxiU4fipGQSNmlnMBiFwyFFNW3aNKPPK1asQHJyMi5duqRXUiJXr15F165dUblyZbcJWR6glKL5rD1224kef6kwLznSo34lHL39BFkma0Z7+WZQUQkqk1S8J92E+ZohbpE5/kmB2/qR20/QY/4BDG8rzPSm/XnZoXNku5COicGwhy3PVJ5F/pY7XBruzps3D2PHjjVTUgBQr149jB07Fl9++WWhhStPZDqQYmiw5D9EcUIM1TELjhRT+9XHoGZVzLbnwgM/a58GAIyXbsHnUvcUuJy0+aLZtnVH7wIAHmerIHWghMg3f1sPbGYwXEVjIyzC1j5G2cQlRXX//n3IZDKr+2UyWZGX9yhrTNpsv5DgcIlQKPGQtgFuU2OFtOf9jqgW5IUBTcwVFQBM1wzHQs2zAIAXpf9iEHegkBIDT7Jtm/YceSBUCfQstBwMhinWwiIAwRuVUb5wSVHFxsZiyZIlePDAPF3J/fv3sWTJEjRs2LDQwpUnLj2w7VRQBSloqCuWOF491mjf9nc6ICZMCO5tHmk9W8V8zRCs0fQEAEyQbYAn8gshsfOBkyMlf+Gi4jU0JoLLvYQACilzqmG4H1sep2xGVf5wOns6AMyfPx89e/ZE7dq18eyzzyImJgaAUG33jz/+AKUUP/30k1sFLevYK53RkhNMZKf42niiy+HnCp9rXkIfyXFUIunoxp3Fdr6ty+dKynRO0X0q+xEA8KVsBXqqvoSWAums/AfDjTzJVkJLKcb+csZqG3bNlT9cUlQdOnTA8ePHMXXqVGzZsgV5eUIGAk9PT/Ts2RPTp09nMyoTRJdua/gTwXEhiQYZbX++RVXUjzB2rOAIYG3QqIYUh/hYPCc5pK9pVRx4oMCjUYYCpZycxSr/MgqP6DwhOiQFeMks5q0EgDd/OoPt73RAbBXXB3yM0oVLigooqKzL8zxSUoQHYmhoKDiOuSNbolOdUOy8mGR1vw8EZZ9Fjdd0PuxZB5yJ08Lf73XC/bRc/HcjBWsOx5udS1R2lUhaIaV2nF7cSf37GlwSCHhQcLicmInmM//BT6+3Rr0Ic09GBsMWCam5SEjNxSdbLho5JFlTUiJDVxzDxek9i1o8RjFRaK3CcRwqVaqESpUqMSVlhRNxqTaVFAD4EiHdUA48jLbLLcQhxYT5oHOdMPRtGGHxXKKi6i05YTTTAYBnuYOYLV2FSkhFQ3Kn0OtYADCAO4wF8iVG27pxBYUYn+SojApDMhiO0OGLf/HUl/vw4srjiH+S61R9syAfyxWvGWUTl2dUaWlpWL9+Pe7cuYO0tDSzuAZCCFatWlVoAcsDw1Ydt9umHrkHAEigYUbbpTYCZq0F0+7VNsME6QaEkzTMkK7FN5rBSEIwIvAE8+VLAQAvSYUsFpf5SHykHo2rtLrN2lfWUECFOTLBHV5NJZARwcRZl9zDHjR3+nwMxp2UbNxPy8P9QiQ1NjWXA4L5MHrSTnz+bEO82Lp6YURkFDMuKardu3dj8ODByMnJgZ+fHwIDzT3RTDNZVGTsec/5IhdtOSGA9jDfwGifTGK9H60pqkSEYL7mOUyV/Yznpf/heel/uMRHIVbnVWhIA+4udio+wQm+Dp5XfWbnl5gTSjLgTZTIpzLUU67BBOmveFO6DQFO1MhiMEQSUnPR9ev/CnUOQoTUZKaodS7taw7HMUVVxnBJUX3wwQcIDw/H5s2bmdOEG2jOXYecaBHPV8ItWtVon8yGOTXC38Pqvl+1XdCWu4KnJYIJzlBJ7dc2RmPuNq7y1eFBVGjG3UIr7jpCkKGvGuwooUgHAGTAGxScPpu7txtMioyKx9mE9EKfg1JAaTA4vJaUicsPMlG/sjDLylXZdmxilD5cUlS3bt3CvHnzmJJygIRU41IXvbgT6Mydgz/JQQBy4E9yUJ8Tsj2c5I0zffzyRmszRwpDAr2t2+Gz4YXX1R9Brlbjhsdw/fY2+d8iCcFGbffKP0BN7iHqc/E4wDd2+LcBQHfJaQBAqq6Io7jG5kNYLSqG80z63X5gvCPsufoIuy49RK/YCPRaYLw+mmfHA5dR+nDJ+6FWrVrIymLlnh3h5+P39O/9kI1vZd/if9L96C05ibaSK3olBQD/8k2Njo0K9rZ7/h9GtsIzTaznVVRBhuWavnhEAzBQOcNMSQHAfRoKAHiKuwgC54J8G+hKi1ziowEUKCovmLulO1M5mFExyXHjbGfTafOEBACccspglA5cUlSzZs3CkiVLEB8f72Zxyh9ygzWmWuSB3tlginoExqmMM1D8xbcCIBRUbBUVhMoB9tMPdawdip4Nwm22maN5Ca2VS3COxljcnwWhTMgb0p0YJ9li9ztF5FDrA5VXavsAAHJ07vWWZlTH7qQ6fG5GxcOVgUwQMnWZUMyPTcq0Pqv/ajfLQVmWcMn0t3fvXoSGhqJevXro3r07qlWrZlZ/ihCChQsXukXIsswigwq+/5PsAwCc4WPwk7Y7AGAmXQ1/IpoHBaVGKUWvWNvKxxBfD5edNwEAWoPxSkvuGuDgoLYpuQUvokQK9cN1Wg1AwYzK0hrVptP30bam+YyOwQCAhxnOrGtSNCJ38Kdiqn5LX+XnuEyj9J8fZ6mQkWc53mrxvlvo2SAcDauyoOCygEtPuMWLF+vfb9++3WIbpqiM4cBjiFRIFJtDC5wglmv64WPZRvys6abfxlMh8t5R2tcMwbNNq2DLWcumDnuc5OvgGYlQvLEFd8Ph49pJLgEAjvCxEJWs+NvEAGZD7KWRYlRctDzFC8uPOtx+mnQdXpX+bbRth+ITfKgejU3aTgCEFGCNp/9t6XAAwAsrjuLKjF5YtPcm6oT72rVMMEoOl0x/PM/bfWm1bMHS0JQhZkYHgK80z+vfL9f2x0DlDEzXvGJ0bLPq1pPPmsJxBO93r+2ynD9pu+ND9WgAgAdRoz1nXt7DHIquuqBeQ5f6BBoKLSWI4h7pXe5FclRMUTEsM3jZESQ4GDfFgcfzEmMX9qu84G7+lWw5KuOxQ+fJVWmRla/GN//cwOgfTzsnMKNYKRepJE6ePImxY8eiQYMG8Pb2RvXq1fH888/jxg3HZwdFgWGF3I+lv+rf3zIo4aGFBOdoDFQomEEFeMkQGezl1Hd5Kwpn/tusfQpxfCUAwGrZPPgg12b7AdwRNOTikU9l+FfbTL89CcH62lhTpMaJiSllDhUMy5y9l+5w217cCXgRwVmnYf5KROX/gmdV0/X7/yf91+Fz/W/FMYfbMkqOQimqY8eOYc6cOXjvvfdw8+ZNAEBubi7OnDmD7OziC/j84osv8Pvvv6Nbt25YuHAhRo0ahQMHDqBZs2a4dOlSsclhitqgZs5dWkn/Pge2nSQig7ycDpj2MVFUDtQ0NIIHh7fU7wIAFESDjpx1N2EFVJgqE5TQt5pnzWKv5mueAyAEE/tDuA4IgEO3HmPJ/tvOCcZgmNBHcgKAUFxUdATKhwI/aIR137okweFzXU60XX6HUTpwSVGpVCoMGjQI7du3x+TJk7Fo0SIkJAgXB8dx6NGjR7GuT73//vu4e/cuFi1ahNdffx1TpkzBwYMHodFoMHfu3GKTwxSVVnT1pqhMBHNEd6X9yseeMudrOMmlHEa0j9J/dqUkz1UaiRWavgCATjYU1bOSQwglGbhPQ7BC289sfxr8kEQF02U0EXIciuLsu5bsvGCMck+Yr8Lhti10nqbbtMYlbEQTdDBhyqe84ZKimjp1KrZv346lS5fi+vXrRuYcDw8PDBkyBFu3bnWbkPZo164d5HLj4NdatWqhQYMGuHr1arHJYcqSfYLHXyjS4UfyoKXEaGZljXwnCxaKVA9yzlxoiUt8FACgGrGuUAZLBKeQtZqeUFvxxxF/Z3WT81hKbcNgeDg4OJNBg3BdVYDb1Dh+8AkVMk+E6bKlOMvuy0msOnApxSVFtX79eowZMwajRo1CUFCQ2f569erhzp07hRauMFBK8ejRI4SEhJSYDMsPCH0QwyUCEB7ehmtR1jjnYhqZV9pG4ddRbfDn2PYIcTF79CNd5vVwYjnmSQYNGpI4AMA/vPWks5lUUJpexMTlmOkphglqLY8kB13Tg1AwWzrFGzsQiWu/1bgUBMD5hASjfzyNzS56zjKKFpcUVXJyss30SRKJBLm5thfji5qff/4ZDx48wAsvvGC1jVKpRGZmptGrKKhJBEVlOgJ0NxKOoHWNYDSqGmC3Xo81HkJQVBEkFZaCKOuRu1AQNVKpj83ZoRKCovSASRYANmBlmHDzUbaBmdw2YrLjx9QPGpPZfDp8cZsXSt805W6ZHesIrDpw6cQlRVWtWjVcu3bN6v7Dhw/ry9OXBNeuXcPbb7+Ntm3bYvjw4VbbzZkzB/7+/vpXtWrVikQeZxVVdIj91En20LhownikW1vyJCr4WfD8iyKPAAA3aDXYmh7lUcuKKjPfNQVa0mw8mYCDN4uvYnJF4tAtx/s1jKQDKDDzmXKRCqm8nHGoMIQ5pZZOXFJUL774IpYvX46jRwsC9EQvte+//x4bN27EK6+8Yu3wIiUpKQl9+/aFv78/Nm3aZJYxw5BJkyYhIyND/xIdQtxNQ04wlTmqqP4a/1SRyOEISsj1ZrsQkmG2v4rOKURMQmuNfHFGRYwVVVZ+2Yyl+vj3C3h51YmSFqNc8vlO64NeAAhEJuQQBjhNiTBTumdSt01E3F6FuDaooGzKXypxKfhm8uTJOHbsGDp27Ih69eqBEIL33nsPqampuH//Pvr06YP33nvP3bLaJSMjA71790Z6ejoOHjyIypVtKwaFQgGFwnFvI2cJ9JLBIzdJn+3hKF/f7jEbRrVxeGHZFuc/7YFHWfnoMf+A08emUH/4kVyEIgN3UBkvSfagC3cWU9QjMUG2AQCQZkdR5ULo1zCkGW1/kJ4Hnqc2s8KXNr7b55oZiWGfXDtB4K9LdmCK7GekUH9s17bBCKkQOH/PitlZTLBclTgW9GsKm1GVTlyaUcnlcuzatQtr1qxBjRo1ULduXSiVSjRq1Ahr167Ftm3bbM5kioL8/Hz0798fN27cwPbt21G/vn2lUNRoKdXPSh7SINy3Mgo0JNzPeo0pZ/D3kiEm1MelY8W4qDCSBoBitmw1npacxffyrwEA2dQDv2i7WT2eIwVK+TnJIUTgidH+wlRuLQnmsQSmRUZKlnmWfUCoNNCfO4JBkkMAhAKdopICgN3aFhaPK1BUrs2o5vx1zW6hU0bx4/SMKi8vD5MnT0aXLl0wbNgwDBs2rCjkcgqtVosXXngBR48exdatW9G2bVv7BxUDPA/46hLOZlH7mdABQCFzX7IQjiNoHhmI03fT7Dc24D4NRWtcw7fyxRjL/6Hf3lBXfHGDtotR8k9TeArsp01wgY9GIy4Orbir2Mp30O8/m5CG6k5m3igtfLLlIj5/ltVhcxeGikoBFYZI/kMn7oK+zpkpKipBc+VyfaCvKcaKisIVN9PjcU/wVK1Qp49jFB1OPxU9PT2xfPlyPHr0qCjkcYkPPvgAf/75J3r37o3U1FT89NNPRq+SgqcUvjqHBGs3linWysu7ytoRLdFYlyH6+1fMR6EcMc9i8Y+2wO28DnffaF8uVWC1prfF75IanYjoa1TV1Lnni4zfcK7ER608T/HvtUd2UzrN2228fvLL8XvYceFhUYpWYchXa/HO+rP6z89KDmGWbI1eSamoBNf5qjigbYhlmn5YpumH0er3bd5LD2kweErgQdTozx2FN/KwUz4JhxXv4CnuApqRG/C2kDDZEKmNqtqMksGlNarmzZuXaGoiU86dOwcA2LZtG7Zt22a2v6RmfTyl8Cc5AIAM6pgnn7sVla+HDL+80QbnE9LRLsY4pkwu4bB0WDO8tu6U0fZdfCsoqRQKIqwfvKl6Fyf4uugtOYHTfG0kwnJsmtbE01B0HhG9Hg05dTcV7WqWXIzb5rMP8OFv5/HL663N+kVEy1N8t8885dPcXVfRt1FEUYtY7qk7dZfR5yoG60rdlV/iJq3q9DnVkCId3ghCNnpJTqAxd1tfnPRHuZCl5g4fjq6qr2FttqV20FWeUXy49FRcsGABNmzYgJUrV0KjKXkvrv3794NSavVVUvA84A9BUaXDsfUimcT9TgbeCqn+YXx9Vi/89FprtI8JxrKXm6F2JctOEbv5lvr3u/iWSIUfftY+jWu0utXvoTBeYytQVOYzkPMJ5h6FxYVay+PuE+H/Eqf7a4mbyZaDRj2kxbv+WlEI0OWFXKAZ5JKSEhmjEhy5mnG3LJatqcElIRjWYyazWTmaUodLM6pXX30VHMdh9OjRGDduHKpUqQJPT+M1GEIIzp8/7xYhyyJ5Ki1UWh4BUuHmszajknDEaCbi7hmVKQqpBB1qhaBDLUFxWVvM/lT9KtpwV3GAbwRH7fwNKvth3chWaDFrDwDglk5RRZOH4MCDNxgXnb3n3LqZO2nz+V480ZUjn7zlEl5qHWmx3cX7lpWpXMqBUup04mCGbarpHCCSqeMlbixxV+e0FIIMSHVWge3aNrhPQ/CmVKifF05S8YRaLpqYxoJ+Sx0uKaqgoCAEBwejTp067pan3DB4mVCIUD+jopZnVKbmMmkxu217WHHeSIcv2igXGykXe1Ty80CIT4G7fyINQT6VwYOoUZWkGLkU/33lEeIf5yDKDcHNziIqKXvEW5ltXU7MROvP9+LE5KfdKVaFRzT9xVHnCxhO6l0Xc/4S1hNT4QeeEsiIFqG6mdMc9VA8QCg6c+dRl0sQMlxYMbY8yWaKqrThkqLav3+/m8Uof4jlAwLENSpYfiAHecuh1vL6QNjiHqXbytTujJICYJZfkAeHOBqBeuQeapJEs9iXzl/tx29vtkXLKPN8kaWB+CfW04AlW5mJMlzHU1djKttBD1lDDCtiqyDDHM1QdOXOAQDO05p4AMGLT7wPA2B5ECLlCJ5ks/9tacMlO9MPP/yA+Ph4q/vv3r2LH374wVWZyhVeEJJt5sA8PkrCETzTpDIkJWhCkko47Hm/o1vOFexjHjx9mwpOBzUsOFQAwJBlR/HXxYf470bJpSeytnh+hdUqKlKqBhorJG/dvSIGizuDn4dxsufvtf0wVD0FQ9VTMFczVL9dtGyIOQNN0VKKx2xGVepwSVGNGDECR44csbr/2LFjGDFihMtClXUMHTjE1C9Kap7NXMtT9G9cGSW91BETZjvLhKMEewu/sVHVAtt/nE5RiTkCLTHm5zMYvvoEjt15YrVNUfL0N//hZLxxtvgriZmIe2zd0QIAUh00ITIsozEoLOqPbATqlEcudS7o/dV2UehWz375HABI0ykqsaCnKZQCOy4+xPL/WIHP0oRLisqeJ11OTg6k0sKVRi/LGD7A5LrFXJUFK2u4vweaVgsoNzWaxPWpfo0i9LPEZBog7LOQN9CU/604VuRemr+fvm+27e6TXAxZdtRo29L9tyCxs164aO9Nt8pW0TBcn/1C9j0AoTzME1hOOGuNaQMaQC517FEmnrsKsT0omr/H3FuQUXI4rE0uXLigj1cCoK+ga0p6ejqWLVuG2rVrm+2rKEzafFH/XpxRmSoqCUfwbNMqIISUG0UVrFujknKcPrmnmOXaEUUFAAv33sRzzaridko2Otexn3LKWb7917pyOZeQjugQb5y+m4rtFx/azfu29kg8XmxdHbUr+eLC/XTUi/Arcq/N8oSGF0yucqjRWbee9LF6lEM121xFDEJvzNmeMeWreWh5anewwigeHFZUW7ZswfTp0wEIC/7Lly/H8uXLLbYNCAio0GtUGXkFpSwUEGdUxjeflqfo30hw3y4negpBOtOfTEL0D/nHOhdgW3ErhizYcxML9gjKJH5uX7fLqLSREePGoyx8tvUSzt/PEMIGdD+iJbkGD6LCQb6R2TEHbz5GJV8PDFh8GGM618SEXnXdLnN5JFupQZquZlo1kgwPokYW9cQug/g9R1j6UjP9+3oRfrj60PZ1doUKoQhCELrtFEuZeWoEesuRkJqLJftvY/bA2DKVTLk84bCiGjVqFPr16wdKKVq1aoUZM2agd2/jVDqEEHh7e6NmzZoV2vRnWAtKP6Oixv0RGeyFehHC2lC5mVF5C6Y/qYTTe/6KCW5DHZxRFTX5aq3F7RwBdl1Kwnld7JRolvJFLn6Uz4EHUWOcaiz+5NsZHZeRq9LH3cSl2F7TYhSw0yANlVhjSjATO3cvGFYa+HpIY/RZdNBmezHFkidRoRt3BvmQI4N6QwE1TlPjcJsnOSoEesvx+c6r+OtSEsZ1i0GEv/MeiYzC47A2iYiIQESEsDC+b98+1KtXD2Fh7jfNlAcMvcjkFmZUHIHe7AcUzKg61i65RJjfv9IC91JzMXP7FZfPIboIG8aCiYUYfUkevJCPXAvej8XFniuP9KN4U3gK/Hst2Wx7O+4SPIhwzADJYSNFRQBsv/gQnesK94GkCLKKlFeUmoIBQyjSAbgW6Otv4JZev7IfGlX1x6UHGbBWN1QFGY7z9dBWcgWrdNUARF5WTTSaNZ+9l4aYMB/9QPJ+Wh5ylFrEhLlWlYDhOi4Z1Dt16sSUlA3UBt5McmK+RsVToG2NYP1n0YFgQOOiLVVvi+71K+HpeoX7n4qjW1+Pgt+aA09k6AoxRpMkp85HKcXNR5bTGLnC6z+cst/IBMNyEXU548KaFMCdlBzsviT8rnyV5dkawxiep7iZnK0f0FQnwgAhGQFOn8tXYTzWfrFVdfDUtjn9e20fi9v7cwaFYAFsOCn8v3dcFGZ/Q5Ydxf9WHLV0KKOIYSu/RYDGwoxKabJGpTAwWYjNiyLPnzMUxhHAcD3J1AniAl8DgP0FbFN+OXEP3ecfwJ0Uy67ExYGhybIqeawf/YtIOIIfjgpJT+/YcWdnCKw+HIcfjt7VrwE21+XjE68TR6lTyRc1TWqu9WwgZLWw5Qizn2+if3+PD8XvWqGidjvJZf12CuD03TRETdxhdOzjbJXdYo8M98MUVRFgcY3K1OvPYMiXoouEL2kPI0ddfO3hIZPghRbV9J/P0RgAQBPiXKXcM3fTAcCquc4ZHma4VqwxVLd+ItKEM/4NWp4iT7fudfdJDvLYrMouh28JqZJEZRKpi7ETHR0cZWKfumbODYHecswcGGtzpYsHh/tUyHW5TtsDX6uHABBNkPbDIxLTy1bhz/IAU1RFgGGtJf0aFTWeUVlSSiVdo8lWOiVnEZPeAsA5viYA84e8PX4/Yx7z5AqUUrMsE52482hBrlk5QqAqSUEb7ioAoTYSACyUfWc2qxL/lTwFLiVmIP5xTolm7S/t5Jk4tIiz1kdOrlFVCbDs2KAwcOaxxvPKT/GRehR+0PbUx1YpiAZhJv9bSxiGnzCKB6aoigAxPoSAh4wIN6XaZEYltWDms7YAXFx4K9znqWloRjzHCzOqGJKoLyTpHIXrmLd/OaOvuSWBFl9Kl2Od/Av8KJ+rT3Fl6TsXyL5DFfIED2gwRqo/BgB4ESX6SYzXKXgqrGkQAuy7lozOX+3HmsPxhZK5PGO4hquACr5EmKE8tpLN3BL+njLUsuLU4IhlIBEh+E3bGWpIoYQcV3mhfE1TBwZTJ+PTSryEUEWDKaoiQFxzEmdTgLnpz5JLupYv+YJthiY7R7E0suUNbuIn8Mc9PhQcoWjDOe9VaCv2yRF2Xixw4hjAHcHz0v8AAJ5Ehd/k0y0e04jcQQvuBnKpAs8rP8UhviEWaQYCAN6V/o5KME65RCGYspbsF9bhjpZQOqiygKExQZxNKakUmQ5WwRaxlsDZlbXWa1S47sUii/ZoM2cvnvnusNPfw3ANl4fQaWlpWL9+Pe7cuYO0tDSz0QUhBKtWrSq0gGURUeEoULC2Yhrwa6mcR2koLNq0egB+PZVgv6EBW8e2N9uWlGE8U/mPb4yXuT1ozV3FP3wLp86vVLuvY2K5eKPPDbi7CEUaUmBsdqqj8/A7zdfSZ97+VjMI3bkzqMfdQzfJWfyi7Wb1e1geQOsQgxWkMAh1yVIQAGdiqAyD6k1xZa31Bl8NkADDJP9gqaY/8u0kxn2UqcSjTGFt+deT9xDm54EuRZBJhSHgkqLavXs3Bg8ejJycHPj5+SEw0Ny2XJGLyonOFLZmVJbWqEpDl/l6OJe+JjLIy6gGlYiX3Hi96wxfCy9jD5o46fkHAOl5hXvox1b2wyXdGpWfrrzDXPX/MFG2QdhGcpFisj4iViUWqxQDgvn2Eh+Fetw9/XmswRSVdQyvfXFAcJu3HpoxsEllfNa/ATaffaCP89v0Zlur7V1RVD9ru+FN6Z8IJlkYIdmNpdoBDh2Xq9Jgwu/CmlVRZFJhCLhk+vvggw8QHh6O8+fPIz09HXFxcWavO3fuuFvWMoOY1UAmuqZTKUxHi5YU1aBmVYpcNnsonLzJm0daXgAfYmJCFD3/GpPbIHBuhvTRbxew5ex9lz3q1AaLf35EWCPLgheSdMrJA+aj85q6siSGigoAsiGYOX2Ibc+vx6ymkVUMr7G65B4A4CqtbrX93OcaIdBbjmeaVEaHmBCc/6wHWtioYdaoiuNrXSKZ8MZSjaCcOnCOO0v0WlCQCWPlwTuImrgD92zUMWO4hkuK6tatWxg3bhwaNmzobnnKBaKiKgj2NZ+lWDL9KaTu87pzlQZVHMtcLUbn142wXCJEwhFU9heyUBAC3KNh0FAOMqLVe9I5ioaneO/X81i8z7Vs5YZxbX46Z45M6oV8XekVBcxnP+G67NoPaIjRdnEdxZ5TiFgIk2GO4Zqj6LxwjbeuqMRA8hAfBX56vTX8PW3P+gO9zUvqOMJOvjV4StBechkNiWMD7XupBdfBrB3CdX1I537PcB8uKapatWohK8t9GQPKG6IjQUH6JHMLa0nHTFkjwt8T8XP7onYl22li+jUS0mk1rW7dpfjIpG4Y2qoaJIRACwkSqLDWM4CzXsvMFhoX3SIN6x756SouZ8Ib+RAeaGJlWUN8IMyYMqnxAr9YfdbejIphmXtPcpGVLwzghkj2oxEXBy0lOMRbHvS2qeFa9WfToowOyUYrYS8vJLndKp8Kb7j2P7ZWiJPhOi4pqlmzZmHJkiU2q/xWZArWqKzPqEqrohIJ97Odk+/F1tVxdmp3u2XkqwV56QM7J2teAwB0kZxzSaZQC2thjmCo4HwNZlRiJdnJ0l8ghfEMSHSZzjLxRBNNf74OPMQM89kxhJltx3n7cCkxE/XIXcyUrgEArNX20icvNmVQ06oufdevo43XsHrpMlbYY4HmOQAARyj2K97HBvlMVLdR9NMS1x9lISNXDUop+JKOOSknuORMsXfvXoSGhqJevXro3r07qlWrBonE2GxFCMHChQvdImRZQ3wwi15/ampu0ivtziZB3nJwxHJs12f96yPM17HksiHeCn2qnJu88NAJQzok0EIL50ydzq6fZeSp8fmOq/qUN/7IRjgR3MpTEICd2tZoxt1Cfe4uxkj+xLfaQQCAxuQWQkgmeEr0hR9FxBlVMLFftiQ5U4lqQc65XJdnlhlUzf1YugEeRI2zfAy+1Lxg9Zg2BjkxnSHCZKA1qlMNNKkegLl/WQ/ylhDgMo3CK6oJ+F72NUJJBkJJBmZK1+B99Rg8saJMjc7BEfxy/B5+OX5Pv+2f9zqiViX3VNGuqLikqBYvXqx/v337dottKrKiEvEgwtqHEuY2c1OvuNKGj4f1S2NoK+vrCaYoZAXK5Qn8kEMV8CZK1Cd3cZE6l9st7rFzi9SbTt83crXvKTkJOdHiKl8d92koVml74z3pJngTJVpwNwAtAFBMkq0HAGzmn0KaSbVZ0bmiPrEfb/MoM58pKgO++rugaq4YrzRD/bLR/THjmQb4dKuQc+/wxK5Ws0/Yg+MIzn3aHdlKDQK85PBRSNGseiCGtqwONc/j36vJ+Pj3C0bHiBbiA3xjdFQuQDvuMubLl6KT5AJOS8agbv4au27rWgsjuyl/XMK8wY1RPZhdC67ikumP53m7L62WmT3CdUGhKRYi7kt7JVgfhcxqpgwPJ1ItGc6CeHDYzzcGICgNZ1l9OM6p9qaDAXFtbJtWMAtRcBii+gyAmBiVojN3Dm24q1BSGb5RDzY75z0qxMp4EhU8YNuz7wHLCWcRBVSopMuhGEcLTHLhfh54pW2U/rOrSkokwEuOqoFe8DHIuOLvJUOIjwI9Y41NgRN7Gxe8fIQgbOGf0nnsCkQ5aQIUOR6Xiqfn/+fSsQyB0v20LOO8IN0PAEigZS8QMNzP8sixcbUAp85j6sko1vuJJfGuiOUUOcqCdacwpKGtLivGn3zB+sUtWgU8JfAh+dgj/whr5fMAAGu1PZAIY48/QFijEk25tqoWcwRIY7FUegxnGh05YSaTSb2QjgKnHbE8zMe96uDn11sXqTx+BhYDjlj2wgWA87Sm/v2v8hl4RbLbpe8r6TyeZZ1CJXeLi4vDX3/9hbt3hWl8ZGQkevfujejoaLcI5wxKpRKffvopfvzxR6SlpaFRo0aYNWsWunfvXuyyiETp6i8d541HayPaRxm3C7YcNFuSvNI2ClceZiK2ij/+OJuIAC8ZpvVvgEBv5wKCTWeOd2klAEKC2rckW8GDYKO2M1Jh3y3ez4Y50hKiuzAA9JCcgoRQnOFjcN9g4KCCDCdoXbQhVxHDCbFT6dQbSzTPWDkrwW1aGXVJAhpycXjAWy52yRGCHF3cF89TLP3vNoa3i9KP7g/cSAFPqVlJlPKKWCJeDjU+l60EAGzUdoJhfKGYa/KtzjFFLo/hGvGsgQ2NBjWGfKl+AT/Iv4AXUcKf5GKGbB32801wT3cdM4oHlxXVBx98gIULF4I3yU/HcRzeffddfPXVV4UWzhleffVVbNq0Ce+++y5q1aqFtWvXok+fPti3bx86dOhQrLJIOQIZn6c3b+zRubyKfNa/gdHn/R91KS7RHIbjCL4cLJjpDM0xzmJa+j2dCiPoAJKDj2W/AgCGSP5DN9XX8EEuOFBkwtviuTLzNaCUOuSIYjqCraYrzneWr2XW9hXVRLwi+RueUCIVfjjMN0AGrLvnH+froi6XgDbcFeziW1lsQwC9E8epu2mYt/s61Foe7z5dW/jO1SeEfVOeRotZe/Dz663RPsZ8Blde6PftIQBAJZKKUJ0jyteaIUZtqrjgUl4YvnuxGTQ8j2eaVMEaK2blU7Qu6ivXgAOPP+RT0YiLQ0fuAn7SltwAuCLikunv66+/xvz58zFo0CAcPXoU6enpSE9Px9GjRzF48GDMnz8f8+fPd7esVjlx4gQ2bNiAOXPmYN68eRg1ahT+/fdfREZG4uOPPy42OXKUGny+8yo0PNVXLU2jPsi08dAr73SuE4oOBg9gUVEZUpN7iHiPF3HJ43Vc8HgDS2XzrQZcivnV7GFa3E6sLnyfmisDFWRYqe2Lb7WD8LP2acTTCJvnPs3XAQC8Kv1bH4JgBgFylIKSTs8VTIDi7NJQecfrii3uu5Zs7yeVC/x1qace0iDkwdgz75lirnDdt1EEnmkiZINpFW07zIIHh13algCA96W/6bd35M5jq3wKPpOuQ2Gz/DOs45Ki+v777zFgwABs3LgRrVu3hp+fH/z8/NC6dWts2LAB/fv3x/Lly90tq1U2bdoEiUSCUaNG6bd5eHjgtddew9GjR5GQ4FySVVf5/uAdrDggPGDFhde7JiaCz5+tWNk8pBIOb3UpsPM/RBASqe2HQm/JSSyVL7C47+fjjmW3zjYw5VQjj9CJOw8AuE6dzw5vCAFwQqeoAGCy9CeL7SgF1h6JR9s5e/GTzlV53u7riJq4AwMNsm6LqZZWHoozyqBR3qjkK5i2A3QB1xnUfNbsWYKesA0q23c938M3BwAEkWxMlf4IKTSYJV2NxtwdjJDuRmfdNWaLk/GpiJm8Ex9sPFdYkSsULimq+Ph49OzZ0+r+nj17Fmsw8NmzZ1G7dm34+Rmvc7RqJZhlzp07Z/E4pVKJzMxMo1dhMMzvFqkbwcebKKriNm+UBhpVDTD4RDBLPUz/6UXVJzjDx+A2H4Ft2jb4WudpV5U8RmMLFYG//dex4ovvrD+rf/+yZA8URIMzfAyO8A1sHGUfCUeQhGC8oxoLABgu/Qf9uKNm7cTYsYcZ+ThwI8Vo37Wkgqwub/50Rv8+v5wuuGcrNfoq1mIcm2l8GgCjmXdp5Aathr90s6rXpH9hvHQzqnMF/9sPpRtt5rHMVmpw7PYTaLQUJ+NTrbZjmOOSogoLC8P589ZHD+fPn0doqOVF5qLg4cOHiIgwN9eI2xITEy0eN2fOHPj7++tf1aoVbrSdb1COohZ5AACI443lkpdyt/SiwEchNXIRNuQoXx+DVDPQTfU13lGPw7faZ5GlC6rdqvgUPi4VWgTO3ksHAESRhxgl3QEA2KDtAmdKSVhCXB7bxrfDd7okpnNl36MGMb7GXKmpt/74vXJZjO9UfKo+1KEyLOdQBEo+CN4Rd/gx6nfxra4u2TvSPwAAuVSBLOqJWC4efbgTVo+N/Ww3tl8QsvJn5LFckM7g0lNzyJAhWLlyJebOnYucnIJyBzk5Ofjiiy+wcuVKvPCC9Whzd5OXlweFwtxrzsPDQ7/fEpMmTUJGRob+VVgToeECvhjQaJoV2pUSBOUBw4dAvkGAJzW7BAnGqN/Vf9qj+MjsXHuv2o9nEQcEdYnwP73BV8FGbWfHBbaCoR75RjMEx/m68CH5+E620CwNkyGOZMyavfMqTsanFVrG0sbRO0/07t+RnPC/e0gLMk6E+iiw/8POJSGaEYcndrW7VgUQ/KUtcKBJp954Sz0eq7W9AQDPS/bbPPr6I2E2nZmvZumVnMClp+bMmTPRqVMnfPLJJwgMDERUVBSioqIQGBiISZMmoVOnTpgxY4a7ZbWKp6cnlErzRfb8/Hz9fksoFAr9+pr4KgxieXkZNKhF7gMArtAoozZ1witmKpXIYC/9bOQA3wgHtbFYpulvse0hviGW6vaFkzQEmsQrnb5r+2FOKYVKt94TocuCfoNWRWFnU4OaVTHKG6iFBGNV7yCTeqEel2AzNszRZ9IHv50rlIylkUM3H+v7rYGuj67QSACCh2yv2HBEhVj29CxuHIl9u0Kj8JrqA0xRj0B35Tzs55vgb61QDLQpd9OhMjaUAmm5LM7OUVxyT/fy8sLevXuxdetWoziqXr16oU+fPujfv3+xTuMjIiLw4MEDs+0PHwrT7MqVi8ebSMzCUIvch5xokUm9zLzMrJnAyjtVA70gIQQaSqGBFC+rP7HZ/gvNUPTjjqEal4JvZEsxQj1Bv8/HQwqNlofUihn1ysMCxSauiRiO4KUccSoTe5saQXixdSRuPTKvGJCCQNykVdCc3MTr0p0Yq34HhVGICanlJ5vFkVuPEeAlx5XEgv+HmHVezNZCUBDoWxrIthJPZcpenWOFyDVaDTlUAT+Sh1rkAW444LSTkq1EcCmLnyytFOoKeeaZZ/DMM9YCI4uPJk2aYN++fcjMzDSaFR0/fly/vzgQszD0lJwCAJzlY2D40LJXR6c8UyXQU1/+xFEu0yhUQwq6SM4DagqAQMoRfLnrOv48l4hd73a0eJyhq3c1Iix2J1Lj5KYNq/jj4oMMh+ToVrcSBjSujIM3UyzuP8vHoDl3E/0kx7BR2wkHdGmiKjovrjxuts1Tl3YqV+earuZpqaokkK2rI9auZjCO3H7i8HFaSHCOj0F7yWUMlfyL6Zrhdo95nKUCHEvqXuEpFwsmgwcPhlarxYoVK/TblEol1qxZg9atWxfaScJRiC4VSw9OyGP3u/YpAMK2VtFBODih9AX2FhdVAjwdNn+JjFOP1b8fyAku3aKzgaHnnCmJGfm6NREqJJsFcJMal4uIdCJBqOip+VStUCz8XxOz/Z9rXsIxvh4AMWcgwxBDReSlU1R5Bsld914tPTFkal0CA1cyxZykQtjCCOlu1HMgafHcXc4VEK3IODSjio6OBsdxuHbtGmQyGaKjo+2a9gghuH37ts027qJ169YYMmQIJk2ahOTkZMTExGDdunWIj4/HqlWrikUGQ6oSocLnJVqQSuqpmBD4eVTcGVXlAMfKghiiggzH+Hpow11FD8kp/MF3gNYBZZeYlgcNTxGGdISRdGgpwUmD2CctT9G4aoDeA8u+7AVrnJbKTvDgcFDbEG24q6hKLM+6nGHVoTi81qH405C5E0PvRTHPHwEPT11FgVxaoAg0fOlxy9/0ZjucuZeGhFTnvU1Xa3rjae4MYrl4vC3dirHqcTbbX3pQuHCYioRDiqpTp04ghIDjOKPPpYkffvgBU6dONcr1t337dnTsaNk8VFRE4iF8SR7UVKI3N2l46lTG8fKIq2tzc9VD8YfiU3TgLkIKDTQOXLIJacJDpq/kGABh4V5p5GkI9G9cGU/VDkGvBQftnq+yf4GSDfO1PNK+rHOa6cadhQeUdstB2OLXk/fKvKLKU5tXT/BEgfNArkH/cKXoWRJbxR+xVfyx5azgDPV8i6rYeOq+Q8dmwhsfqt/ELsVE9JMcgzfyMEszDLdpFavHpOeqEOBlXgaIYYxDT4+1a9fa/Fwa8PDwwLx58zBv3rxCnysnJ8esECQASCQSvcu72M4QVX4ummguIAcUJ2mM0cOKaPLN2otwHGfkmZibm2s1noYQAi8vL5fa5uXlmeVmNMTb29ultvn5+TbLunh7e+sTjlKNCtTGeYlMoR8EUY0a5/jKeABPBJBcxKhv4opulto6Osgo759SqURyRi5+OnYXNx8IawvtZSeRQyl+UbcD5XgQIgy0agQp4CvVgsgpeFW+BRnk+rYeHA9PojH63xkeQ6QyEE6CA3wj3NEEoxL/GO00p/RZDIzOq2sLAFSrAdVaXrjPygY0Gg2kUqHP1Go1VCrrHmIKhULfVqPRWPSAFZHL5ZDJZE631Wq1ei9aS8hkMsjlcn3bR6kZZn2rQAZyOAqZBFDqql5TyoNXWb83DM/L87zVUBMAkEql+jAVSilyc63Piuy1DfUQrg0pr0KoJ0FKXsE9ZumaEbnKheOMLAbNuFvoIjmPVtpzmKh+DVt5C/lGCcHzy49i1sCGaBUdZLUPgPL7jLD1m42gLrBu3ToaFxdndX98fDxdt26dK6cuUTIyMiiEAbfFV58+fYzae3l5WW1br3owjZywXf/y8gu02rZFixZG542MjLTatn79+kZt69evb7VtZGSkUdsWLVpYbRsSEmLUtlOnTlbbenl5GbXt06ePzX6jlNKMPJXQD3Xa22xb7b1N+j7zju1ms+3l2/donkpDKaX0rbfestm2ypuraOSE7TR64nbaafBIm20jRn5Ho3QyDHvrA5ttw1/5Ri/v810b2mxbaejn+rZB3d+02Xb79u36/l2zZo3Nths3btS33bhxo822a9as0bfdvn27zbaLFy/Wt923b5/Ntl9++aW+7YkTJ2y2/aSjl74fIkZ+Z7Pthx9+qD9vXFyczbZvvfWWvm1ycrLNtsOHD9e3zc7Ottn26T7P0CbTd9PF/96kkRNs95lnjRa02YSf6dhJn9CMT8Opl8x6W0W1WH0/ZOapaEhIiNW25f0ZkZGRQW3hkjPFiBEjcOTIEav7jx07hhEjRrhy6nKDymSy6mwZ9fKGl0ziUNCrM/RccBDPLbV+HVqCp0AlK7W2DHn9qWj4ekid8tQ0LALIsI4aZcsMHuAlw9lPe+DtLo6VH3kCf2zj22GAaqbD3/E4m8VU2YJQ6nzOFo7j8NNPP+HFF1+0uH/16tUYM2aMTbNCaSQzMxP+/v5ITEy0GPxrz/T3+c4reOnMi4gkjzBa/T4OSYS8YNMHNMDgxtZTSpXXab1p276LDuLSvcdOmf4or0UV8hh7FB8hn8rQVLnCrG383L5QKpWoNWm7fl81koy/FROQTT3QUrnUyJz3x5utUStU6O/Ws/cgM9/YBEdkcsTP7QdCCFQqFdRq4wzp9abuKmhrYM4L0j7BQdlY8JSgoXIleBOnWkdNfwCw9JXW6NtE8FQsa6a/PKUaTT/bgVyV8TWxQT4Tjbk7uEBqYahWSAhAKY9TEzvCS255FaKkTH+GGN73G08m4MP1Qpokjgj3mGFRSMJxIFJxzYnid3yMupz5Gtff2uYYr3kHnEyQYdvYDqgRaH0lxtYz4nKiEGYhJtZ15Blx5m4qriVlYWirSKTkA12+2o8XWlTDtL61jO77XReTsO5oHN7sXBN5Sh6dYqsiOVOJ+pX9kJOTi5UHbyP+SQ5mDTRPtu3IMyIzMxOVK1dGRkaGzYQLDq9wX7hwwSi568GDB6HRmN9o6enpWLZsGWrXru3oqUsd3t7eRp1sq50hgZI81Fckg6ccLvD19dubVQ906HwihheZO9tay9BR2LaGytsWVQM9cTlR7nA4LJHKQCBDPvzgLSfwhgZSKjdTAADQ69uj4OQFcvgRCm85QS71AEeN5YsK84O3bgE7PDgA2SnZ5t+tU5ZyuVz/oBQx/B5DMiQB8JYLx4VQNR7D3/pvk0hBJNZvv7c3nNcrKplMplcYtjh08zFyVRr0aODYzE4qleoVnD0kEonD1/A/11KQDxk4uaHMFHUUj+FNCD5XvqrfSgiHAD9fswKbluA4zmEZCCFF0nZIi6qQcAT+njK8/sMpUAA96oVhj0UXe4JRmILT8jH6LWf5GDTlbqEdvQNOWTCzz8hTw7uq9evFFC8vL9x7kotK/go8v2o/ACB+bl+rbQ15lJmPl38QqiyHBwfo4wN/PZWALwY3Mmo7bdctZOVr8NavQnVs/HENAHB5ek8sOXQP3+0XKgPMf8l2/1l7Rtga4BrisKLasmULpk+fDkD4xy5fvtxqKY+AgAD88MMPjp663FA9W/jnX6fVjIr/cRXb6qfH1Sj8XIO6Rf7IRpqFasBxj41ntw24eABADjW/QQy9rPy9nA8ZIAQWk85qIUECH4pqXApWy7/EHM2LOGolW3sY0qCBxKHKxo4ybJUQYGvtgVVcjDPIXC9SlTxGMMmCmkp06awKsFYGvjRCCMFzzauCUopQHznS89RY/GIzeMgk2HUpCW/+dNqo/RODwcrX6sFYq+2Fix6voxJJhw9ykQ1BiQxbdRxXZvS0OrM0JSkjHx3n7XMpiUBKVsEs+h2T/9W+a8noUjcM15IysePCQ2TlW571/3UpCd/tK57wI8AJRTVq1Cj069cPlFK0atUKM2bMQO/evY3aiCOTmjVrOjxSK0+IisowZgdAqYq8L0lcTZUjeogBQDPupln6GkuMlAjmuWQEGG2vH2GsGKyVILfFgY+64Kkv91nc97FmFL6XfY1GXBzWy2fjHF8DBEA9chc8OHyjGYzuktNoqQsMHqd6G3/y7Z2WoawRS+IACEmaDUMFgJLPmu4KhBAMbxeFB2l5+tATa/W0Bimn4SnuIpZon4EWEiTTAISRdNQiD3CWFlScXrLvNj7sWcfiOUzJyhfM0Rl5wl9vB2p5JaTm4kF6ns1wgBFrT2LmwFhM/eOSzXN9+Jv92lvuxOEnR0REhL5sxr59+1CvXj2EhYUVmWBlkbA8YYRxkRrHwEjK4I1YFPi6nOeQ4CIfhYZcvD6Y2pBUk0Si3shDHSKYJKarXzHaZ5gHEAAWDW2KHvMPGG2z52xR1UZNsaN8A/RXzcYc2Uq04a6iCWdYqViLT2Trjdp/LVuGEE2mPvu2IflqbZmMv+tRvxL+vmKc4T6WExTVbWqcd7NBZffNKIubsV1rGX3uWCsE3nIJckzW5s7Q2jijLVgKuclXQZgkHT0kp3BWI5xDQoDE9Dz8c+URQnzkaFo90OZ3m8ap2atldvNRFrrrrnN7db/sKSlTAl2wSjiLS0apTp06MSVlCs+jRpaQ4+8RNb7IODajAgCoHUkrYYV9fBMAwIuSvWbZqZvN/Mfo8wuS/ZAQigQ+FJdNBg1jOtc0+ly7knE2e2+FBP99ZDvVlb0ZQByNwAjVR1ij6Yk/tO3wlXoIPlMPxxZte/yhbYeFmmfRTTkPx/m6kBEtPpX9iA7cRbPzZOZbKXNfiknPVeGohRx5LbnrAIDjulRTIj+MbGXWtqxCCMGojjXtttvGtwUADJPs0V/LWgpsPvsAb/xwCs8uOYK1h+MsHhv/OAezd1zBgMWHjbZreYpVh+JwPiHd4nFL9heY6Q7dMh/suQbFa5IdiJA4ljOzMLhsn0tKSsKqVatw5swZZGRkmHmIEUKwd+/eQgtYZshP1789zxtfrGxGJTCoWRUs3HsTQhY+AWvrPaas1PTFCMlu1OHuowm5bWQyMaU7J6wTrNP2MNpeJcATE3rVNWu/bFhz/HgsHodvPUHn2mEOzWK+eb4x3t8omD8khOgr+orkwcMsMek6rXFV7P+ppuBH2Rx0kFxGS+46DvHGnlNrD8fjYwvy2uPHY3fxcptIp49zlXy1Fv0WHUKQjxyNq/ojy8ScqoAKTXTVmg3vDX9PWbnLHu5IGZ8/te0wQ7oGviQPG+SzMFQ1xcxBaNq2K7hwPwODm1dFO90MSKnRovNX+62ed+Z2weHh/Kc99GuvCam5+GTLRRy86S7lVMD/JPswVfYzrmuOAJpnAGnRZdhwaUZ14cIF1K9fH7NmzcLt27exb98+pKSk4ObNm9i/fz8SEhLKZaVSmyiFJKn5VIYM+BjtYmtUApHB3pjWv75RFQxLl8mq4S3MtmXCGwd1D/KBkkNWvyMMaWjNCck+d/EtjfYNbGq53Euv2HAseKEpYkJ98O7T1hWgIYOaVUXcnD6483kfzLeQqNYRKDgc5AUvq/HSzWaFFw1HwTbPQykm/n5B/3n2jisuyeMqx+NScSslGyfiUvH9wTgzr846JAEKooGSyowKiUYHl44aVO6kZZRgTVkzouDaM+2PXHhgovoNqKkErblreJazfD1vPvsAL648jt9OCcU/60zZZbQ/mjzEVvkUTJX+iIKhH3DncTa+2n0df55PxFNf7nObkmpBrmGf/D18Kv0BfsjBJ9JfAADnSL0iVVKAizOqiRMnwsfHB+fOnYOXlxfCwsKwcOFCdO3aFb/99hvGjBmDn3/+2d2ylm5UgotzDszXL5jprwA/T5nNGRQhQLd6lSzu+1HbHX0kJzBc+g8e0SAs0T5j1mas9A9whOIUXxv3qbF5enQn62aZUF8F9nzQybEfoZeVgBAgthDrLDkGHo3tuMsulQg5HpeKDScLqlPnq4s3yev+68au2Yb/3lrkPn6SzwEAPKDBMHxsB3qXvyTNwT4Kvdfl1H71MXP7FVi63DfzHRGqycAk2XpMkG3AHmUzswGuyEebLph533kiH4tli9CAu4vG3B0c5+vib93A7NklloPgZdBACw7hSMVQ6b84wdfFIT4WtcgDBJEsXOEjjbyVAYq6JAEceHTlzuJD2W8AgGhuF2LIA/iRXCipDD9JBqKo67m7NKM6fPgwRo8ejerVq+sT1YqmvyFDhuCll17CRx+ZlxAv16gE92jDB48IM/0VYK+S6zjdAnUjCzElR/n6OMML2QE+lv2KUKSZtWnPCQvBB7TG8SCjO9Yosuz10SHemDkw1qVjjxms2USSR2b7r9soZyKSpzKPRbG0zVm0PIVGa1/p7bliLjcgPExXyL6GH8lFHF8JkzWvGe3v16h4CpqWFF3rhqFWmGXlAwim6Uc6D8Cf5Z/brAw8Y3vBLLkDdxHHFWPRgCsoJbJIthg1iXnxWJEXJPtwVfEq7ngMwxGPcXhH+gd+lM9FnMcw/K2YgA3yWdiveA+duXPw0JVieUuyFbsUE7FT8YleSYl0lAhrqt9oBiOZmFcUcDcuKSqe51GpkjDqDQgIgEQiQWpqqn5/w4YNcfr0aWuHl090pj9LcTtsQlVA46oBZtvufN5H//697oJ31NoRrfBS6+omLQleU32o/1TbQsR/IBH+D7t5Y/PhK+2iXBPYAQgheLlNJHo2sDwTtMUtWhXHeWEdypKi+vm4/bpGlgpSOlqp1hb9vz2EHgsO2G33IN08W0RVkoIFsiWI5h7hIQ3Cs6oZZjFlzzWvanZceSI6xBvbx1lIRqsjHwp8oBaCgWO5eP3aqi1idDNUPyJk0tihbYUkGggPosZE6XqLx/ggF9Ok6yAl1hWhksoQRLKxVv4lrnmMwBHFWHws22jUZru2DRZpBuo/P6Z+2KK1/vvciUumv+joaMTFCV4pHMchOjoae/bswfPPPw8AOHLkCAICAtwmZJlAN6PKtTCjcrZgYHlGwhFUCfDUP9x+GNkKHEcwtFV1xFYpMKEFecsx+9mG+LhnXTSe8bd+exr88J+2ETpJLqAyMfUuo/CDcAOn0YJFbYWUQ5UAxzNtuIrUxcjubdq2aM1ds6io5A5kbFBZcE3OVmoQaqUkiSP8fTlJ78qfnJmPMD/LmQU0Wt7s+g5BBnbLP4Y3EUbmE9RvIB3GTgaFka0soZBKsP6NNvhky0V4ySW4nCj0aafaofjvRgoO8Q2xWPMMxkq3YoV8PnZqW2Gi+g0TE1wBgyUFA4fm+UvxBP5oQOKxQ/EJ2nBXIRhejUfGE6Xr4UlUUFEJ/uWbwQv5mKUZBl/k4inJRRzQNkIWvLBC9jWiOeEarEyEicc2bRvMUb+IRIhmW4pfNN2QhCDd2QmcH545j0uKqkePHvjtt98we/ZsAMCYMWPwwQcf4M6dO6CUYv/+/fjggw/cKmipR79GZX5Dl6bCcKUBw+d5tSAhMn/OIPNcYQCgkJk/qMU6XxFINdruBaV+1JhlsFaotBNj4i6uJblWCO8+Fby6Ikiq2b6LD+y7/lqaPWXmFc61/aNNBc4ZB28+tjr7UVkwDTblbuqV1EpNb4vrbgMal2+znyFtawZj34edAQj/q/RcFb7afR0cEQaxv2i6Yax0KwCgj+QELvHRFtdfgYJZ96fq4fqsF7epEN/qS/LgjXyzdfLqRFhDvEyj8ab6PaN9pzUFAcZdVPMxgDuMRfLvAADn+JqYoh5psnZGkISiN/WZ4tIQcPLkyVi/fr0+Wee7776LGTNm4MmTJ8jIyMDUqVMxa9Ystwpa6rExo4rwL/rRfFlCjIx/s1NNRAbZzlVoKev8Q1FRmcyo/CD8D9RUYlTqvLj4cnAjPN/CeXNWNhWuD2+Ym9DyLRQgNDvegqJ65rvDFlo6xtrDcfqMBwBw7I7Qz5bWqyythVUiwtrhHm1TzNK8bLSPEKBdzWBM7lPP7LiKgI9CiqqBXvCUS/T3QaLJg7+LxDwFlUgoEQYuKTRAvy0fcqipEFLhY+EaEs3hizTP2pXvT749ovN/QnT+TxiommnVwaO4cUlRBQYGonnz5vpEmYQQTJkyBWfPnsWpU6cwbdo0s0Se5Z6qLbGnyhj8qTVOh/P9Ky2Ye7oJAbr8ZBN717XrEUkIwaY32xpte6gzO5ia/kS7fSa8YO4UXPQ0jwzCMBfil8QRsA8xz05uL0g6JUuJTafvuzVf3pZziUafD916jMT0PDSb+Q+O3DZ2dV6496bZ8VEkCQBwj5obhSgFbjzKrvCesB4yiUHsHcFs9YtI1imfltwN/Cd/F89wh/C6ZAdiyH1UxmP8Jp+GFrrUW6nU0NOUIFt/DRkrKg8oUZsIa7kp1LGktxQcqGuqocgoXdKUZSo3weHwl/E3NY60t1a6vCKz7OXm+GqI427YLaKCjD6Lpj8xXkqkFSdkdk6nJTcKdKWsumguFkbDxopJbcfrbsxPp3E5MROWvtbesdZoWi3A6PPDjHxM2XIRmfkaHLn1xGiWZ8njr64ufZVhzJQhozvWcEmu8kRyptIoTON7bT+0Ui7BKV5wJorkkrFQvgRTZD9jj+JjvCPdos8PCQBpJjMdcVYurtGKiDFsT6gvLtOoQslckkMLh9aoRo4c6fSJCSFYtWqV08eVN8IcKNJX0Yjw98TgQnh8JerWdDyIGlWQggCSg5my1WjGCdkP7lPrtb+KGqnE+dv5EQ1EDlXAmyjRhNzGOVpQoE+t5TFp8wVcT8rC5rfMk9cm6zJhW4pNy1Vp4e/p/Fj0cbZSv34i8u91oRTE4n23IOGI3jszMcN4FiiDBo11+Q2v8pYV1YAmFWd9yhoxVtzWX1J9gkbkDn5TzDDaLoZdiKSZDMaydFnYfUie0VgnSGf2e0BDCj1LKkmfMIcU1b///muW3yw3NxcpKcLFGxgoRGOnpQm26dDQUKfqL5Vngr2ZonI3hpV0W3LX0UFySa+kAGC5tl9JiAXAtZIVSshxhq+FpySXUIMkmigqivUnEqweK7qmay24lt5OyUYzO8lNLfEwI99ISUk5AmrwHeKMytKM7WXJP/AleUilPrhJzQcjhADB3hVsWcAC47vVwqm7qTh+JxUag85WQo6TtC5Wanrjdelf+u3VuRSj4029KEXnIdM1KnHdNpM6XrfOWR5lFn2BXIdUbHx8POLi4vSvHTt2QCaT4ZNPPkFycjKePHmCJ0+eIDk5GZMmTYJcLseOHTuKWvYygbyCl6AvGgi26NYCQ0k6wiGsVf2rbYKm+ctwhHct+NYdSFx0URfXqTyJcSZ4e+a7+2nCg8nSaPfgDedT5zzOVuLsPeNAag1PjRShqBwfZZqvqYnm2BWafmblPAAhbZLUAZf78g7HEfRrVNlISRmyXdsWd3nrib/VJnOMDCpMDMT1KJEAolNUVtzdywouuae/88476N27t5lnX0hICGbPno3k5GS888472LNnj1uELIvIJASvtI0qaTHKLaLXUyjJ0HtCrdL2tlhU0dWsEa7gqlNDnu6h7gnj0anGxYzzEkIwf88NpOWqEOQtx7hujuUwPHAjxWbcn5Qj+jIWSRnmiqo2EWZ/F6jldagqNkqkVDTErBWmZlYAOEdj0Em1ABOk6zFGug0AcEDbEMf4+rhrwUnlIh+NHpLTiOKSAANHzMq6sjiip2xRsOJl+/XhCotLQ5tjx46hWbNmVvc3bdoUx44dc1mo8kJZqlxa1hA9pEZJd6AOJ3o1BVhsW7UYgn1FXPVmy6OWFZWlOCURW4mfRY+ytUfi8c0/N6y2M2X/9RSbXqpanuJeqrBgb7o+pYAKkbqYnRt8NYvHl8X6WkVFs+qB6Nsowmbuy3sG+Soz4I0l2mewg29j1i5B1y4U6fptbbgrGC0VLFtirF5R0LZmKU2hFBQUhL/++svq/p07d1a8zBSmUNcW1hmWWfqS8cAo0cII8R61bCrxc6Fct6soHYh7skSezvPP1PRnKxXSWSu1h1wlR6nBjosPLa53iVAAp+JTceTWY7OS8225K+AIRQr1w2MLM1sCZgo3hOMInm1SxaaTguHsSfTss4RYyTqMpAMAApCFDfICi1eClXvDrox2HmEeMg6+RZRD00gOVw4aPXo0tm/fjmeeeQZ79uxBfHw84uPj8c8//2DAgAH466+/8Oabb7pb1jIFhespdRjm9G4YYfR5v66QoshWbTvkWwjylUs5NI903qHAVaKCvR02sxlizfRniz1XHrl11v7Ul/tsKimRfDWPF1ceN9rmi1zMlK4BAPytbQlLzswUsFrYr6LiZaeEvOHgy1IyARHRwhBBUiGBFt/Lvzba7w5P2BAfOc5/1sN+wyLApTWqKVOmQKlUYt68edi+fbvxCaVSTJw4EVOmTHGLgPbYu3cvfv75Zxw6dAj3799HeHg4unbtipkzZyIiIsL+CYoQGZtRFRm58MAVPhL1dRmkt2jNXbcB85igoobjCN7vXhutooIwbNVx+wfoyKOCknVGUSVl5ru17ltqjsp+IytMk61DNS4F9/hQzNEMtdpOdP5gCCjsmEIN15YSaZDVdnE0AjlUAV+Sh1bcNaOYq3TqjdvUtZAAw3FLk2qB8PMwVhlbLIRMFAUuV/idOXMmxo8fjz179uDuXeFhERkZiaeffhohIUVnDzVlwoQJSE1NxZAhQ1CrVi3cuXMHixcvxvbt23Hu3DmEh4fbP0kRQOG6BxjDMe7QcNSHcO1d5qMttrHmVVXU+Hk6d2uJKZ9MTX+2SM7Mh4u+Fm6FgMcATqiB9IF6DLJh3RXaUkqsioy9/tBCgj+1bdGQ3MFvWuv10rSQ4AENQW3yAItli/Tbo/N/AgC3ZJr4dmhTszClehGu12JzBpcVFSB4+f3vf/9zlywu8c0336BDhw76ulgA0KtXL3Tq1AmLFy8uuZyDlLIZlZuZ0rceZu0oyEZhmCE908rD0RFTVlHgbO0r0fTnBXNPOmskZRR9/Ioj+CMHMiKszRnGgFmiONcLywKOrNmNU7/j0LmSaBBq4wGCdUG+/2ibuTUVkqfOTDmoWRVsPvMAkcFFF5tlSqF/RVZWFu7fv4979+6ZvYqDjh07GikpcVtQUBCuXr1q5aiiR0uFwEmG+xjayjjTwS6+JVRUglN8bYsxO4DlWk3FgbMPZDHbRnfJGTQkdyy2MXQH1/IUKdkFiqojdx5nFKPwn/xdRMC0/Il9CmNCnCFbC0CoT2Qa32NKoBdTVIZYKtHiKg8MPPuUVIbJ6tdstDandiXzbBnhFsq7fPN8E1ye3rPYzH5AIRTV0qVLUatWLQQEBCAyMhLR0dFmr5IiOzsb2dnZxWqCtISlOBOG65guPB/mG6KJ8nsMUX1q9ZiSmlH5ejhnrDhkEKTcQ3LKYps2c/YCAC49yEDNT3YaZTh/WbIHQSQbkVwy+kiE0BDD+fxHv523qYyiJ+10Sl6RIGSiLyd83+fqF+22n9y3vkvfU16pF+GHYW2qW6xo7Sw/aHtgj7Yp9mkb43nVVCTDthNRVZOYtrrhghlveNuCxMr/fdwZYb4Ko1pxAOCtkCKoGDOMuKSoli1bhrfffhsxMTGYNWsWKKV49913MXHiRISHh6Nx48YlmudvwYIFUKlUeOGFF2y2UyqVyMzMNHq5A/EB4UziVYZ9TO3jgOBUYcu8UVKKSuZk9gUtJPhSLRQeraaLRbJE1MQd+Prv62bbQ0lBNgkxlsnwl/92+j4O3nyMa0mZOBVvXPfK1eS1ANBNcgYSQnGJj8JmvqPFNuJ/rXlkIDrVLrk8jKURCUcwa6BQILSwXKWReF39EUaoJ+C8HRMsAKwa3lL//u/3OiJFlzfyxdaRODyxKy5P7wmFVIKjk7rhz7eLp5KvNVxSVN9++y169uyJv/76C6NGjQIA9O3bF7Nnz8aVK1eQlZWFJ0+cNz/wPI/8/HyHXtZGhwcOHMD06dPx/PPPo2vXrja/b86cOfD399e/qlWzHKToLBRA6+ggvU2X4T6+f6UFXmjh+P/p2aZVilAa9xKnK4BXjaTYbLfvuvn+EFIwyDKt0yUy+Y+L6LXgIAYvO6rflpmvxgMLnnhVSQrel25EMGwXbhTLp/+jtZydQMIRvRmUrdlap0VU8YVQiNQJ90VL3fdWCfCEh65IaWSwF6oEeMJbIVgFJBwp8bIsLimq27dvo3///gCgr0mlUgneSv7+/nj99dexZMkSp8974MABeHp6OvS6ft18VHnt2jU8++yziI2NxcqVK+1+36RJk5CRkaF/JSRYT/7pKKKX2fE482qtjMLTvX4ldHRiVD66U80ilMa9iK7IlQxmR45BEYwCRWVap0skIbVAIb2/8RxuJWeh0bS/8dzSI2Ztl8rmY5z0D3wtW2bzm8Xccsd4yyY9LU/x+5h2AIAe9UvGA7cs4GrGjhHtowr1veIM10MmwZeDG2P5y81LZfYQl7z+/P39odEIEfN+fn7w8vIyesj7+voiKSnJ6fPWrVsXa9ascaitaYxUQkICevToAX9/f+zcuRO+vr5WjixAoVBAoWDZzcsafRqGo0f9SvjbQi2k0oifhxSZ+dYzTIiIhe1CkQFhXu7YKNYLSiO3dmszKkM2n3mAZF3W6ycW4qcacvEAgM6S84CNqvahukwIj3SZESwRGeyF25/3YQVE7bDpzbYghGDxvzctzpot8Vn/BnimSRUMdLKic5c6goJ6q3MMXmkXBQlHEOqrQM8GpXMw4ZKiio2Nxfnz5/Wf27Rpg6VLl6JPnz7geR7Lly9H7dq1nT5veHg4Xn31VaePe/LkCXr06AGlUom9e/eWWKCvqwlEGc5BCMGbnWuWGUUV4e+JzPwsu+0eQ1BUCqKGH3KQ6WAZ8GBibJ4LItnwgNJipg5DDt0qyK4u5YjVmLN65C6u0Wpma4GeyIc3EZSdtTyLgPPrdRUVsUDoy20jse96CtrWCMbRO5YHHU/XC8O0AQ0AAE1cCGp/Q1e8kuOI06EUJYFLV9CwYcNw6dIlKJXCRTp9+nRcvXoV1atXR1RUFK5fv15s8Us5OTno06cPHjx4gJ07d6JWLefT17gLw0Vp0d7LKBq85YUKASwWDk/sikMTupgVz9w57ilcn9XLrL0Scn3doLXyL+2uD4lEEUFh36chyNFluGhkxcXdGoZOJ905Y6/DvxSTcFTxDt6XboTEIDW3mFcuj8r1VYoZhad9TAhebhOJ8U9bf5ZVDfRC1cCCOKYqziZeLmNjapfu9hEjRmDEiBH6z+3bt8fly5exbds2SCQS9OjRw6UZlSu89NJLOHHiBEaOHImrV68axU75+Phg4MCBxSIHIBS5E5G4UJKc4ThiiQRCLFe3BYBf3mhdjBKZIz48DN2AG1cLQP3Kgqtv6+ggs7XM/XxjDJAcRTPuFk57jEHb/G/xELazU4+R/AkAOMPXQgR5gpbkBibINuA51XSHZRW70ANKzJcVrC8n8KEIJpkIJ2kYJ/0DWirBQu1zAICmRChWeYtWRskWKi9fKKQSzBwYi1vJ2VbbmD5e1oxoiR7zDzj8HWVMTzmvqPLz87FixQo0adIEHTsWuKPWqFED48ePd6twjnDu3DkAwOrVq7F69WqjfZGRkcWsqApmVCXkFV1h4DiC8d1q4bt9t6CxoKmmD2iAdjVLNo5OZFKfevoqvb+OKijRUDPMx0xRjVOPxQBJgVdeY+42HvLWFZUUGjTnbgIAlmv6gYBiu2IKmnM3oYDKaiC0CIHxQyuaJMGH5CObeqCx8ntoIUEAsrBePhv1uHt4XboT67Q9kA5fROpmchetpK9iFA5bmR+IycBAXs7Nq07/Og8PD0yYMMGi111JEB8fD0qpxVd8fHyxyqLhCxQVLXNjlrKHXMpZXVcJ9ik95c7FNYCnaoUYeVSN7lgDi4Y2NWlN8Ipqgv5TNLHtlFSb3IeCqJFJvXCFRuISjUYqFWabbbnLdmUz7L0O3EVsk08GIJSX0EKQNR2+6KP6HJf5SPiSPIyWComoq3OiyZHFRhUFMgmHBS80wbJh5q7/pn4pjpYUiirGtEfuxCU1HBsbW+xKoCyg0hTc9iWUuadCcfG+9TUcd6amcQf7PuyMFS+3MNoWGeyNAY0ro3qQ8cPjAN8YCzSDAADNdLMlS4QiDet1NYcu8tE6ZweCfXxTu8eaIoMGS2QLISVCv23UdjbaT8HhG81gAMDLkn/wumQHnuUET7NbtOzEqpU1Bjatgl6x4ehcJxQ+igIDmGkyWEdKCn05uBH6NhIczcra88klRTV79mwsX768Qpeat4ThjGpUR8uluBnuIy3XeqbxwmRbKAqiQ7ytBoDXizAPpbjJVwUAdJecRm/OvFxIK3IVJz3ehj8Rqu2epHX0+87yQlaCcdI/4INch+Tryx2DHyloaymAdy/fDJf5SPiQfEyR/QyOUPyu7YB/eOulyJlTkXtY+UoLHJkkJDCY1LsuBjUzHhw4MqOqH+GnNxmWNYuPS84UixcvRlBQEHr27KnP6+fpaex1QgjB1q1b3SJkWUF8OG5+qx2aVS/+SPOKhq3M0zFhjrl2lwbUFsIa/uWb4B4fiupcCjpyF/AXb+wY0ltyQv/+qLY+lmn66z+f5Qu8xX6TT0c/1ed6M541+uvWxW7zEfhaMwSJsLS+R/CbthMacD8AAK7y1fCxerTVFFbLhjVHnXD78YwM+0glHPwkHOLn9rW4X+bAjCrQW643iXuVAa9ZQ1yS9sKFCyCEoHr16tBqtbh165ZZG0t52co74gPHkYuGUXisLSBfnNajWMpju4tp/Rvg32vG+f3y4IGvNM9jkfw7DJXuwza+LY4YJK5twwnerW+pxmEn38bo2Ms0Cus03TFc+g/qcQlYI/sSizTPgoIgBQFQUSmkhEcSDURNkogXJXvRTSKUlZ+mGY6DfCOrsh7n60FDOaghxXvqt60qwAh/D/SKLZ3Bo+URiQMzqhAfOV5pG4UqAZ7FWvXaHbikqNj6lGU0uhmVowubjMLRLDIQe6+ZJ3AtS0oKAKrrcqs9SDfOuXeZRunf/yL/HNPVL2ONtjdqkwTU44QyOif4ehbP+ZlmBNpzlxHDJaKj5CI6Si7alWOftrFNJQUIiU/bKxeBgtjMzs1K3BQv9vIoto4OgkIqDCp6lNLsE7ZgQ383InqgseSbxcOYMpTHzx6LXzT1/gNu0yqYoX5Z//kz2Y/oyZ3EWvkXAIQYJzGbhSWeU03Df9pGuMxH4g5v/eF0jw/FP9pmGK9+2yFZHyHIqpISc8e91bn8/G/KAgqpBO1jrIcxuJK9ojTh0ozKXlFEQgg8PDwQEhJSoUyAYgolRzxwGIWH4wgq+SnwSJez7rc325awRK7TtHog/nmvI7qbBG2u1vbGv3wT7Fd8AABYLp+v3/eT9mmb58yAD4arJ+o/y6FGX+4Y4mk48qBAI+42dmtbIsPBVE3WkBChUGiNEG+sG9kKlNIKdd+XFqJDvHH4lpU8j2X83+GSooqKinLoQvTw8MBTTz2FqVOnon374qsGWVKI+omZ/oqPP8d2wBs/nEKv2HC0iAws0w/IWpV84aOQIltpnMA2nkZgnOptLJJ/Z7R9J9/KqfOrIMMW/in952va6jZaO46WAr+PaYvGVQMAVMz16dLARz3q4qdjlicRpgHCZQ2Xhv6rVq1Co0aNEBgYiLFjx2LBggVYsGAB3n77bQQGBqJJkyZYuHAh3njjDZw6dQpdu3bFvn373C17qUO8GFgSzuKjkp8H/hzbAW91jikXD0hrJRb+5NvjFG+cluwRDTJrN3NgrNm24qBaoBek7LovUfy9zNdmX9FV6y3rt4ZLM6rExESoVCrcunULAQEBRvumTZuGDh06IC8vDwsWLMDUqVPRvHlzTJ8+HV26dHGHzKUWMVpcysoZMFzE1rWTRY1DQFQwfjD5eUrhXULFOgOLsSw5w3H6NozAD0fvlth14S5cLkX/+uuvmykpAAgKCsLrr7+OxYsXAwCCg4MxcuRInD59ulCClgXEET0bWTJcxVbNpp0GsVQz1cPM9of6KIos44AtuXwUEmZFKKW0ig7CjGca4PWnynYCApdmVE+ePEFurvWI95ycHKSkFBT+Cg8Pt1o6vjwhTq+Z1x/DVWwphN+0nXFYG4tkBEBjcutKOIKm1QPhLj8ew/pU373YDAdvpmDDScsVsMtCPaOKiFzKgRCCV9pGlbQohcaly7ply5ZYuHAhLl40j824cOECvv32W7RqVbDQe/XqVVStWtV1KcsInDijYl5/DBexZzZORIiZkgKEelJP1QpBn4YRqOuGbBBag4Fl30YRmDOoodW23oqyleWgolCeSg25dIV9++236NKlC5o2bYq2bdsiJkbILXbr1i0cPXoUfn5+WLRoEQChLMj+/fsxePBg90ldShnYtApO301ja1QMlxnUrAq++vuG08cRAB1iQqCQSvDja63Rcnbh8nBSCnzYozYGNBZyytlyVPHxYIqqtHB4YlfIOIKdFx/qKwaXBwh10SaXmJiIuXPnYvfu3bh79y4Aof5Tz5498fHHH5fJGVRmZib8/f2RkZEBPz8/+wcwGG6GUooXVhzDCZM6VY5gmAfu5qMsdJ9/wKzelDP8PqadUaqddnP3IjHdPONEx1oh+OG1ki1SySibOPrMddlGVblyZSxatAjXr19Hfn4+8vPzcf36dSxatKhMKikGozRACHFLQuNalXzxca86Limp7vUr6c5hHAh8ZGI3dK0bZtaemf4YRU2hF1MePnyI8+fPIycnxx3yMBgVnve710bnOoUvRujMIrqhtXrxi03x1/inLDpJLHmpGYbrYnNErJUvYTDchcuKauvWrahbty6qVq2KZs2a4fhxoWbO48eP0bRpU/zxxx/ukpHBqFDIpRw+69/AqWPa1DBfj/BRSDGoqWNFDTmDNSiFVGJWmE/EQyZBmJ8HACFlDwCkZCmdkpXBcBaXFNW2bdswaNAghISE4LPPPjNyPQ8JCUGVKlWwZs0atwnJYFQ0vJyYpRAAq4a3tLjvUZawplTfiuIREV3RezmQWbtqoBB43KaGkAT15qNsR0VlMFzCJUU1Y8YMdOzYEYcOHcLbb5tnXG7bti3Onj1baOEYjIqKtVRKlmhdI8jqOlFCqlA6ZN3IVpjar76+FLklxnaJwbKXrVfrFamkm1F5yDhUCfDE211jHJaVwXAFl1ZBL126hG+++cbq/kqVKiE52bxOEIPBcAxHZ1R73u+ECH8Pq/sbVfXHvdRchPoq8FqHaHR9HIYdFx4CAJ6uF4Y9V4X79P3utTGwiWNmwoZV/BFbxQ/D2kQ6baJkMFzBJUXl5eVl03nizp07CA62XhuFwWDYxpGURC+0qIaYMNslOr4a0hhT+9XXf44O8cbJyU+DECDERwEtT5Geq0Kwj8Jh2bwVUmx/5yn7DRkMN+GS6a9Lly5Yt24dNBqN2b6kpCR8//336NGjR6GFYzAYwIZRbSxuj61qvWiiiIdMojfViYT6KhCiU0wSjjilpBiMksAlRTV79mzcv38fLVu2xPLly0EIwe7duzFlyhQ0bNgQlFJ89tln7paVwaiQtKkRjMl9zEvOl/WM2AyGo7hk+qtTpw4OHTqE8ePHY+rUqaCUYt68eQCAzp0747vvvkNUVJQ75WQwKhxzBjVELZ1pz5K7+IDGlYtbJAajRHA5pLxBgwbYs2cP0tLScOvWLfA8jxo1aiA0tPCBigwGAxjaqqACb3Sot9l+Vk6GUVEo9JUeGBiIli1bonXr1qVCSb3xxhsghKBfv34lLQqD4TaqBHjqy8j8r2U13JjVu2QFYjCKEadnVEqlEj/99BP+/vtv3L59G1lZWfD19UVMTAx69eqFF198EXJ5yVT7PHXqFNauXQsPD+vuugxGWeXwhK5Iz1WjfmWWMJlRsXAqe/rFixfxzDPP4O7du6CUwt/fHz4+PsjOzkZGRgYIIahRowb+/PNP1KtnvvhblFBK0b59e9SrVw979+5FbGwstm/f7tQ5WPZ0BoPBKD7cnj09OzsbAwYMwKNHjzB79mwkJCQgLS3N6O+sWbOQmJiI/v37F3uS2h9//BGXLl3C7Nmzi/V7GQwGg1G0OKyo1qxZg3v37mHHjh2YOHEiqlQxjmKvUqUKJk2ahG3btiEuLg5r1651t6xWycrKwoQJE/DJJ58gPNx+rjIGg8FglB0cVlQ7duxAjx490LlzZ5vtunbtiu7du2Pbtm2Flc1hZsyYAU9PT7z33ntOHadUKpGZmWn0YjAYDEbpwmFFdfHiRbtKSqRr1664ePGi08LwPK8vwmjvJS6t3bhxAwsXLsS8efOgUDgXYT9nzhz4+/vrX9WqVXNaZgaDwWAULQ4rqtTUVIfNapUqVUJqqvOltA8cOABPT0+HXtevXwcAjB8/Hu3atcNzzz3n9PdNmjQJGRkZ+ldCQoLT52AwGAxG0eKwe7pSqYRMZl7x0+JJpVKoVCqnhalbt67DdawiIiLw77//YteuXdi8eTPi4+P1+zQaDfLy8hAfH4+goCCr3iQKhcLpWRiDwWAwihen4qji4+Nx5swZu+3i4uJcEiY8PByvvvqqw+3v3bsHABg0aJDZvgcPHiA6Ohrz58/Hu+++69D5RHMiW6tiMBiMokd81tqLknI4jorjOBCDctW2oJSCEAKtVutQe1e5d++eRcU5atQoREZGYvLkyWjYsCFq1qzp0Pnu37/P1qkYDAajmElISEDVqlWt7ndYUa1bt87pLx8+fLjTx7iDqKgolwJ+eZ5HYmIifH19HVbK5ZXMzExUq1YNCQkJFT74mfWFMaw/CmB9YYyz/UEpRVZWFipXrgyOs+4y4bDpr6SUTnHCcZxNrV4R8fPzYzegDtYXxrD+KID1hTHO9Ie/v/26ai5nTy/NGDpWMBgMBqNsw+oEMBgMBqNUwxQVwyIKhQKfffYZc98H6wtTWH8UwPrCmKLqD6eypzMYDAaDUdywGRWDwWAwSjVMUTEYDAajVMMUFYPBYDBKNUxRMRgMBqNUwxQVg8FgMOxSkn53TFExGAyGCRkZGSUtQqnh119/BYASTSvHFFUF4fz587h58ybu37+v31ZRIxO2bt2Kt956C3fu3AEg5HisqKxfvx6+vr44fPhwSYtSKti8eTN69OiB+fPnV/gMNxs2bEDNmjUxdOhQHDp0qERlYYqqnHPhwgV0794d/fr1Q/PmzdG4cWMsWrQIGo2mQibe/eeff/Dss8/ixx9/1CcttpUMs7xy9uxZtG7dGiNHjkTfvn0rfJ66xMRE9O3bF6+88grkcjm8vLzg5eVV0mKVCOK1MXz4cPj6+sLDwwNKpbJEZap4d2gFQa1W4/PPP0enTp2gVqsxYcIErFixAo0aNcLUqVOxbdu2khaxWBFnj8HBwQgKCoJWq8Uvv/yC8+fPA6g4s6q8vDyMHDkSzZs3h6enJ3799VcsWrQIDRs2LGnRSpQVK1YgLi4OK1aswNKlS/Hxxx8jLCyspMUqVjIzMzF8+HA0b94cXl5e+O233/D555+DUopz584BQJGXbrIKZZRLduzYQZs1a0bfffddeuPGDarRaCillN68eZMSQuiXX35JeZ4vYSmLn02bNtEePXrQZcuWUUII/eSTT/R9U977Q6PR0NmzZ1NCCH3jjTdoSkoKVavVFtuW974w5N69e7RSpUp03LhxZtsNKc99kpOTQ2vVqkVr1KhBly5dSu/evUsppfTOnTs0MDCQDho0iGq12hKTr1xmT2cIqfNfeuklvPzyywgNDdVvv3TpEkJDQxEZGQlCiL7IZXlH/J3VqlXD8ePHsXv3bmzatAlr1qxBly5d8PTTT5e0iEWORCJBz549sXPnThw8eBAhISEAgD///BObN29GpUqVULduXbz00kuQy+UlLG3xER8fj6ysLIwdOxYA8OOPP2Lu3LkAgNq1a+P555/H0KFDy+19wvM8vLy8sG7dOvj5+aF27dqQyWQAgOjoaMTExCA1NRVqtRpyubxk+qHEVCTDbYgjHXsjvoMHD9LY2Fjq5+dHp02bRi9evEjT0tKMzlHWsdcXmzZtojExMZRSSs+ePUsJIXT48OE0NTXV5nFlEWt9Ic4mP/jgA9qjRw9KCKExMTHU19eXEkLooEGD6KVLl4zOUR6w1h+nTp2iUqmUbtmyha5evZpyHEcHDx5Mhw8fTsPCwighhK5Zs6YEJC46HHlm8DxPtVotffvtt6m/v7/+WVES9whTVGUYlUpFZ8+eTVeuXGm1jXhBTpgwgRJCaJcuXejw4cPpa6+9RgMCAuj//ve/4hK3SLHXF+LNdeLECerr60sTExMppZS+9tprVKFQ0F9++YVSKphAyjrW+kLsg7t379LBgwdTQgjt2rUr3bVrF7179y598OABnTlzJuU4jg4ZMqQkRC8S7F0bp06doiEhIXTYsGG0cePGdOrUqTQrK4tSSumFCxdoz549aXBwML169Wpxil0kOPLMMGXq1KmUEEL//PPPIpTMNkxRlVEOHDhAGzRoQAkhtEePHvTKlSuUUvPRjvh5y5Yt9Ndff6WPHz/Wb5s0aRLlOI7OmzePUlp2R8+O9gWllG7cuJHWrl2bPnr0iFJKaWZmJvXy8qJdunShI0aMoC+//LJeiZVFHO2Ln3/+mb766qv08OHDZvteeukl6u/vr38wleVZpqP90b59e8pxHA0JCaFHjhwx2vf333/ToKAgOn78eEppxbhPKC34nQcPHqSEELpx40ab7YsSpqjKIEePHqV169alUVFRdMiQIZQQQr/44guLC+O2LqqbN2/SmJgY2rhxY5qfn1+UIhcZjvaF2A8HDx6kXl5eNCEhQb9v6NChVCKRUJlMRj/77DOanZ1drL/BXTjSF2I/ZGRk0OTkZKPjxXbHjh2jhBA6bdq0Mq2kHOkP0ZFm165dlBBCCSH6mZNSqaSUUpqcnEx79epFq1WrVu7vE0tcunSJBgYG0nfeeYdSyhQVw0GuXLlCFQoF/e233yillD711FO0Vq1a9PDhww4dbzgibNu2LW3Tpk2ZvQFN+6Jjx442+2LDhg20Tp06ND09ne7bt4926NCBSiQS6ufnR2NiYujBgwcppWVzFuHqdSH+VvG6SElJoQEBAfTjjz8uWoGLGGf746WXXqKEEDp69GhKKTV6iA8ePJjWr1+fZmRkFL3gRUBhnhnJyck0MjKSduvWjWZmZha1qBZhiqqMIY4ADUfDBw4coIQQOm7cOP2NZOlBa2qy2L17N5XJZPTdd98tQomLDmf6QuyPvXv3UrlcTvv160clEglt3749PXDgAN24caP+ISWOpMsS7rwulixZQgkh9Pvvvy9CiYsWR/vD8LcnJCRQPz8/Sgihu3fv1m+/fPkyrVmzJh02bFiZHMC449oYNGgQbdCgAc3OzmYzKoYxGzZsoKNHj6Zz586lBw4c0G83vFDEC2n48OE0ICCA/vHHH3bPm5iYSLdt20Y7depE69evTy9evOh+4d2Mu/ri8OHDtFGjRrRevXp08eLFNCEhQX8jt2/fnr7xxhulXlEV1XWRlJREt2zZQhs1akQ7depEHz9+7H7hiwB39Id4DWzYsIFGRETQoKAg+sYbb9DPP/+c9u7dmwYGBhopr9JKUVwbPM/TWbNmUUIIvX79utn5igOmqEohSUlJtGfPntTb25s2a9aMBgYGUoVCQT/77DO9i6hpkOr9+/epj48PHTRokH79xXSkvH//fvrGG2/QwYMHU19fX9q4cWN68uTJ4vthLuCuvhDNOCqVih44cIBevHhRr5DE4/Ly8orzpzlNUV4Xb775Jh06dCj18fGhzZo1o+fOnSu+H+Yi7uwPwwfv4cOHac+ePWlAQAANCwujTZs2NXrol0aK6toQmT9/PiWE0E2bNhX9j7EAU1SlkHXr1tGgoCD6888/08TERPrkyRP66quvUl9fX/rWW2+ZtRcvvNmzZ1OO4+iKFSssjni2bdtGY2JiaOfOnenq1auL/He4g6Loi7JovqG06K6LTZs2UR8fH9q6desyZe5zd38YvlcqlTQtLY2eP3++6H+IGyiqa0NUXA8fPqRr164t2h9hA6aoSiGdOnWibdq0MdqWk5NDhw8fTgkhdMeOHZRS89GPSqWiNWvWpK1bt6Y3btyglFJ6+/ZtvSu2+Lksude6sy9u3bpl5ulWlijK6+L8+fP6EXdZwd39YXhtlKV7hNKi7YvSMLBjiqoUodVqaX5+Pu3Zsydt3769frtotjp9+jRt3rw5rVGjhtnFIz5ktm7dSgkhdMKECXTNmjW0WbNmdNy4cWXO5boo+yI3N7f4fogbYNeFMUXZH2Ut4Lui9AVTVCXE1atX6fjx4+k777xDJ0+erB/NUErpwIEDaZ06dfRODoajoBUrVlBCCJ0/fz6llJqNgtVqNW3ZsiWVSCSUEEIjIiLorl27iv4HFQLWFwWwvjCG9UcBFbkvmKIqZpRKJf3www+pp6cnbdGiBa1VqxYlhNAaNWroYxw2bdpECSF09erV+gtOvLji4+Npt27daHR0tJkzwJkzZ+jkyZOpj48P9fX1pQsWLCiBX+g4rC8KYH1hDOuPAlhfMEVVrGRlZdFPPvmE1qhRg37xxRf0+vXrVKvV0j179tDKlSvTp556iubm5lKNRkMbN25MO3bsSOPj483OM23aNBoQEKC3O1MqXHhjx47VJ1kVc5WVVlhfFMD6whjWHwWwvhBgiqoYiYuLo9HR0XT06NE0PT3daN/o0aNpaGgoPXXqFKWU0h9//JESQug333yjtxWLo6GzZ89SjuPoli1bKKUF9ugTJ07o83eVdlhfFMD6whjWHwWwvhBgiqoY4XmerlixwmibSqWilArJUqVSqT7PWHp6Oh00aBANDw83C8g7ceIEJYTQdevWFY/gRQDriwJYXxjD+qMA1hcCTFEVM+JIxnRBc968eVQikdBr167ptyUkJNBKlSrRBg0a6Bc3Hzx4QMeOHUsjIyNpUlJS8QleBLC+KID1hTGsPwpgfcEUVYkjLnyOHz+ehoeH60dL4kW5e/du2qxZM0oIoU2aNKFt27alMpmMTp8+nWo0mlIR4+AuWF8UwPrCGNYfBVTEviCUUlr8dYUZprRo0QJRUVHYtGkTtFotJBKJft/jx4+xatUq3L59G5mZmRg/fjzatm1bgtIWLawvCmB9YQzrjwIqVF+UtKZkCFmNPT099QUMKRVGTWJ59IoE64sCWF8Yw/qjgIrWF1xJK0oGcOnSJeTn56Nly5YAgKSkJPzyyy/o2bMnUlJSSli64oX1RQGsL4xh/VFAResLpqhKEKqzup48eRL+/v6oXLky9u/fj7feegsjR44EpRQcx+nblWdYXxTA+sIY1h8FVNi+KIFZHMOEQYMG0Zo1a9I33niD+vr60lq1atG///67pMUqEVhfFMD6whjWHwVUtL5giqqEycvLo02aNKGEEOrn56fPx1URYX1RAOsLY1h/FFAR+4J5/ZUCJkyYAEIIpk+fDoVCUdLilCisLwpgfWEM648CKlpfMEVVCuB5HhzHlgsB1heGsL4whvVHARWtL5iiYjAYDEappuKoZAaDwWCUSZiiYjAYDEaphikqBoPBYJRqmKJiMBgMRqmGKSoGg8FglGqYomIwGAxGqYYpKgaDwWCUapiiYjAYDEaphikqBoPBYJRqmKJiMBgMRqmGKSoGg8FglGr+D0vJJVcDdaTOAAAAAElFTkSuQmCC", + "image/png": 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" ] @@ -438,7 +355,8 @@ ], "source": [ "# Plot a time-dependent median (plus confidence interval) of sensor-based degradation results\n", - "fig = ta.plot_degradation_timeseries('sensor', rolling_days=365)" + "fig = ta.plot_degradation_timeseries('sensor', rolling_days=365)\n", + "plt.show()" ] }, { @@ -450,14 +368,14 @@ }, { "cell_type": "code", - "execution_count": 19, + "execution_count": 15, "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ - "/kfs2/projects/pvfleets24/repos/rdtools/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", + "/Users/mdecegli/Documents/GitHub/rdtools/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" ] }, @@ -473,19 +391,20 @@ } ], "source": [ - "fig = ta.plot_soiling_monte_carlo('sensor', profile_alpha=0.01, profiles=500);" + "fig = ta.plot_soiling_monte_carlo('sensor', profile_alpha=0.01, profiles=500)\n", + "plt.show()" ] }, { "cell_type": "code", - "execution_count": 20, + "execution_count": 16, "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ - "/kfs2/projects/pvfleets24/repos/rdtools/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", + "/Users/mdecegli/Documents/GitHub/rdtools/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" ] }, @@ -501,19 +420,20 @@ } ], "source": [ - "fig = ta.plot_soiling_interval('sensor');" + "fig = ta.plot_soiling_interval('sensor')\n", + "plt.show()" ] }, { "cell_type": "code", - "execution_count": 21, + "execution_count": 17, "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ - "/kfs2/projects/pvfleets24/repos/rdtools/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", + "/Users/mdecegli/Documents/GitHub/rdtools/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" ] }, @@ -529,7 +449,8 @@ } ], "source": [ - "fig = ta.plot_soiling_rate_histogram('sensor', bins=50);" + "fig = ta.plot_soiling_rate_histogram('sensor', bins=50)\n", + "plt.show()" ] }, { @@ -541,7 +462,7 @@ }, { "cell_type": "code", - "execution_count": 22, + "execution_count": 18, "metadata": {}, "outputs": [ { @@ -664,7 +585,7 @@ "15 0.961439 31 True " ] }, - "execution_count": 22, + "execution_count": 18, "metadata": {}, "output_type": "execute_result" } @@ -679,25 +600,14 @@ "metadata": {}, "source": [ "## Modifying and inspecting the filters\n", - "Filters can be adjusted from their default paramters by modifying the attribute `TrendAnalysis.filter_params`, which is a dict where the keys are names of functions in `rdtools.filtering`, and the values are a dict of the parameters for the associated filter. In the following example we modify the POA filter to have a low cutoff of 500 W/m^2 and use an alternate method in the clipping filter." + "Filter parameters for the first filtering step can be adjusted from their default paramters by modifying the attribute `TrendAnalysis.filter_params`, which is a dict where the keys are names of functions in `rdtools.filtering`, and the values are a dict of the parameters for the associated filter. In the following example we modify the POA filter to have a low cutoff of 500 W/m^2 and use an alternate method in the clipping filter." ] }, { "cell_type": "code", - "execution_count": 23, + "execution_count": 19, "metadata": {}, - "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "/kfs2/projects/pvfleets24/repos/rdtools/rdtools/filtering.py:812: 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", - "/home/mspringe/.conda-envs/rdtools3-nb/lib/python3.12/site-packages/xgboost/core.py:158: UserWarning: [16:02:44] WARNING: /workspace/src/learner.cc:872: Found JSON model saved before XGBoost 1.6, please save the model using current version again. The support for old JSON model will be discontinued in XGBoost 2.3.\n", - " warnings.warn(smsg, UserWarning)\n" - ] - } - ], + "outputs": [], "source": [ "# Instantiate a new instance of TrendAnalysis\n", "ta_new_filter = rdtools.TrendAnalysis(df['power'], df['poa'],\n", @@ -717,7 +627,7 @@ }, { "cell_type": "code", - "execution_count": 24, + "execution_count": 20, "metadata": {}, "outputs": [ { @@ -803,7 +713,7 @@ "2010-02-25 14:20:00-07:00 True " ] }, - "execution_count": 24, + "execution_count": 20, "metadata": {}, "output_type": "execute_result" } @@ -815,7 +725,7 @@ }, { "cell_type": "code", - "execution_count": 25, + "execution_count": 21, "metadata": {}, "outputs": [ { @@ -829,7 +739,7 @@ "Freq: min, dtype: bool" ] }, - "execution_count": 25, + "execution_count": 21, "metadata": {}, "output_type": "execute_result" } @@ -841,7 +751,7 @@ }, { "cell_type": "code", - "execution_count": 26, + "execution_count": 22, "metadata": {}, "outputs": [ { @@ -61398,6 +61308,7 @@ } ], "layout": { + "autosize": true, "legend": { "title": { "text": "mask" @@ -62225,30 +62136,42 @@ }, "xaxis": { "anchor": "y", + "autorange": true, "domain": [ 0, 1 ], + "range": [ + "2012-12-30 15:27:30.8566", + "2013-01-23 08:31:29.1434" + ], "title": { "text": "datetime" - } + }, + "type": "date" }, "yaxis": { "anchor": "x", + "autorange": true, "domain": [ 0, 1 ], + "range": [ + -1.3697493381233599, + 19.223241354790026 + ], "title": { "text": "energy_Wh" - } + }, + "type": "linear" } } }, "text/html": [ - "