From 1397e505af242a60790f73fe27194fb8fc73d337 Mon Sep 17 00:00:00 2001 From: Kristen Thyng Date: Tue, 2 Aug 2022 10:51:05 -0500 Subject: [PATCH 01/13] Simplify demo quote> quote> Demo has one example only now (saved old demo in docs still). Both are in notebooks to play around with too. Changed code so that horizontal interpolation is not necessary. Demo does not use it. --- docs/Demo.ipynb | 219 +++++++++++++++++++++++++++++ docs/index.rst | 1 + notebooks/Demo.ipynb | 219 +++++++++++++++++++++++++++++ ocean_model_skill_assessor/main.py | 47 +++++-- 4 files changed, 475 insertions(+), 11 deletions(-) create mode 100644 docs/Demo.ipynb create mode 100644 notebooks/Demo.ipynb diff --git a/docs/Demo.ipynb b/docs/Demo.ipynb new file mode 100644 index 0000000..4b4dc51 --- /dev/null +++ b/docs/Demo.ipynb @@ -0,0 +1,219 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "id": "a9da2fa8-9a25-497e-8ec6-d08609ad38ca", + "metadata": {}, + "source": [ + "# Demonstration of `ocean-model-skill-assessor`\n", + "\n", + "Here we demonstrate how to use `ocean-model-skill-assessor` as a Python package." + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "id": "3b2011cd-01e0-454c-af6f-d968522f5385", + "metadata": {}, + "outputs": [], + "source": [ + "import xarray as xr\n", + "import ocean_data_gateway as odg\n", + "import cf_xarray\n", + "import pandas as pd\n", + "import extract_model as em\n", + "import ocean_model_skill_assessor as omsa\n", + "import numpy as np\n", + "from IPython import display\n", + "from glob import glob" + ] + }, + { + "cell_type": "markdown", + "id": "07a7bb3c-38d8-45a1-8444-ff0ea7aac52f", + "metadata": {}, + "source": [ + "## Definitions\n", + "\n", + "These dictionaries are not required for every type of run, but are required for identifying variables in both datasets and models, and for running QC. They can be complicated if desired, but do not have to be. Once they are written they do not need to be modified much. More information about these dictionaries is available in the [`ocean_data_gateway` docs](https://ocean-data-gateway.readthedocs.io/en/latest/details.html#Configure-custom-criteria-and-variable-definitions). We posted online pre-populated definitions to make this easy." + ] + }, + { + "cell_type": "markdown", + "id": "571d37a7-bd3c-4629-9931-e293bc609ce0", + "metadata": {}, + "source": [ + "Here are `criteria`, which map identifying features of different variables to a variable nickname we can generically refer to:" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "id": "ed628da3-09dd-4b3a-bfd0-cd52b154399b", + "metadata": {}, + "outputs": [], + "source": [ + "url = 'https://gist.githubusercontent.com/kthyng/c3cc27de6b4449e1776ce79215d5e732/raw/af448937e4896535e36ef6522df8460e8f928cd6/my_custom_criteria.py'\n", + "criteria = odg.return_response(url)\n", + "# criteria" + ] + }, + { + "cell_type": "markdown", + "id": "0b502c01-3e4a-4d22-916f-9579eb6193c0", + "metadata": {}, + "source": [ + "Here are `var_def` which give some rules for QC for different variables (referring to the variables by the same nicknames as in `criteria`):" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "id": "da532c82-28e2-4224-b4ce-8260cee9de57", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "{'temp': {'units': 'degree_Celsius',\n", + " 'fail_span': [-100, 100],\n", + " 'suspect_span': [-10, 40]},\n", + " 'salt': {'units': 'psu', 'fail_span': [-10, 60], 'suspect_span': [-1, 45]},\n", + " 'u': {'units': 'm/s', 'fail_span': [-10, 10], 'suspect_span': [-5, 5]},\n", + " 'v': {'units': 'm/s', 'fail_span': [-10, 10], 'suspect_span': [-5, 5]},\n", + " 'ssh': {'units': 'm', 'fail_span': [-10, 10], 'suspect_span': [-3, 3]}}" + ] + }, + "execution_count": 3, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "url = 'https://gist.githubusercontent.com/kthyng/b8056748a811479460b6d5fc5cb5537b/raw/6b531cc5d3072ff6a4f5174f882d7d91d880cbf8/my_var_def.py'\n", + "var_def = odg.return_response(url)\n", + "var_def" + ] + }, + { + "cell_type": "markdown", + "id": "dd29ad0d-e2b7-4424-b1be-489b29e6b921", + "metadata": {}, + "source": [ + "## Search for Data over a Region\n", + "\n", + "This example demonstrates performing a search in time and space for data to compare with your model output. By default this would search in the spatial bounding box of the model output, but here we instead input a smaller bounding box so as to limit the number of datasets found and used. For several of the datasets, the model output isn't available (must be determined to be on land). " + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "id": "61d02b88-9bd5-44a2-9c65-54993e18fdf7", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "CPU times: user 18.4 s, sys: 3.39 s, total: 21.8 s\n", + "Wall time: 5min 7s\n" + ] + }, + { + "data": { + "image/png": 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\n", 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\n", 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\n", 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0/zcSn4+c4xT/Oi9OO0V/87q9VR1Cr0P8IEy5vV/kdn6357znvMfmdtzi34MTin7MeoOQ0nush+vtikJSr78ogB5PSL2/ntCzeDDwJJDnNW15WE7uxyWp55K7L3b3LHd/y93/Rhi06t5CtienTbGS/Qy7gvAefSEhUPjFzO63MAIzhB8KMgg9jrGvrV+i5TtRMDm9hYV9XhXXa7mwx+90wvP7OkLa8Q/25zE67gBuJVzK8RGQczuhugVpXD6f5Q8Bc939bHcf4+5j3f1MwiVGuQ4yBuDuHxNGh/4r4T1pAeFHxmeifU3qdZ5AXu89iY5pbsc/2c+JnB9Fh7Pt5/YJFPx5Cvk/1wp7bKQU0OjEkk7ro7/xv3oW5o0sGbsQrpOIfQxhxEAIb3aJetjqR3+X5VJvzgfBLsD3CerPz4+EL2zx83LsaGaV4wLZ+LafQUjRuTangJk1zWV7jwATLVw3ejHwkbt/GbM8vi3fxD3ObT9z2lLQ85roV9QcfQgpSu+b2THunvPL7++EX58fJlwTtW2lYaTanA+w+gmK1Aey8th2QY5pIr/lsV1n2w/XvI5DsvI7N/H2BNoC57r7czkzzezE+ILuPgoYFQUcRwH/AsaYWUMv2OAYJ/LnwGR+9Hcu0CVB+WbAIndfXYBtbK9fo7+7kfjaPoi+PJlZhrvHXq+W2/tFbud3e877fwk/DjaPnRkFpXsQMhXyZGFwqFcJP9J0cvfZ29GeeMm+/g4Ddiek/k2Oadv2fEeZS9xxiTQDvkwwPxlZwFWFbVBhRc/9AcCAqBfur8BdhCCiP+G5tp4Q/CeyzTgD+WxvbXTdbG7HL7/esZL0WsbdfyEEgX0tjAFxPuH64qXAo9Fn67+Af5lZfUJANZiQtXR6ATaV12d5C8Jnb7xphOtM89uHR8xsOOEaz5Xu/j8zexf4NMGP3Mkqis+cP1eYx+cEf7wnDiD8OBwv0XW/+ZkLnGJm1fzP18U2i+r7LvFqUhaoJ1bSKSctZ2uqY/SlJdGHX1H4W9zjMwiB0GfR4w+AhmbWLq7cWYRftHMb6OTTqJ5E9cfbQLjv3lbuvjH6tT92in0zr0jokYyvexF/BCfV2HbUzIQpge7+XrQvg4F2wGNxy+PbsiquikT7uZo/vuwX5XldSRho43vCPQb3j9q4hvCL+YGE60vj25zz5fgbQm/kn86FmR1O+NKc15exZI/pNuc08gHwl9he9SgN8HRgRoLjWhTyOzfxcnpytu5nFNScndsG3H21u79F6BnalQL+6OTus+POVc4XmzcIozzHpphmEoLeNwqyjSLwCeG45TWg2weEz9AecfPPJnx5KvZbzUTvE2OAv8UFfH8l/FCQ53GLeqKeJ1x3fpK7F3Wbk339JXoe7kghR7KNvEF4/e0RU2cTwntegZ9P0bFqT/jhIG3cfaG730cYYyLnPXYMoTesVqL3wigDp6DeALqZWa2cGRYG7tmd/I9fSXot/4m7f+PuNxB6Fbe5zMLdf3L3JwhBVoEukcnns/wntg1wIfx4lNuPjPH1b3D3uVEA24Jw3eej+a2XDrl8TnxD6EVunsvzdFYhNvUG4VZQW9+Ho/fC0wljsBT5reqk5FBPrKTTNMIXgnuiLwg5t5cobPpYfo43s3sI1wkdQkgfGuHu30bLnwb6Af8xsxsJaTtnE0YzvNhjhsaP5e7fmNkLQM7tTKZF6yQaIflL4DIzO52w76vcPb6nM94q4O4otWke4XrWToTBU3J+SR0D9DezGwhB+TGEL7K5eYxwnc2vbHu9bX56x+znsYTr1gb6H8P/F+l5dfdVFm5L8zYhkO3o4T6O1wAfEm5qPpzQI14XOIgwANT17p5tYQTIx83sOcI1SbsR0mXnsW2acqxkj+mXhB65Swk9Neuj3qz7CYNcjTezWwkB+WWEEU7zvLl9jmi/zi/ANYD5nZt4XxF+dPinmWUTgoirE7TjNkKv7iRCz0JDwqAeMz26TUv0hXUi4X59eV4Xm4s3CNdFPWdmfyd8yRxASL2+O649m4Fn3P2imHltCQML5fw428zMcs7XO77t6JW5ip5zA4CHzCx29NhWhPP7EOGascmE69TqEXoEjicc8zvd/deElSfJzL4DFnr+18UOJBy3kWb2MOEY3AOMcvfpMfWdR0jP7RhzndnDhC9//wTWRNft5Vi8vWnFBXj9fUJ4fTwcvVaqE0ba/RWoFVtnAV4TwwiXFow2s5sIvU6DgP8Rc/lE1LP5X+A2d78tmjeQkKL4MSH4qE8Y6fcQwo+aKWXh9mdvEALX1YRLPA4kpJPi7u+b2YuEHrDBhPerLYTnwvFA/5zPOTObSBiIJ7/rYu8hjB77hpndSTgPd0d1b72+O5fXfdKv5eIWBeETCK/hrwnvcScR0k3HRWVGA18QBtRaDrQmXLMa+zy5hTC4056ez3WxuXgIuDf6rpCT9XIe4fr7fjHb2eZ4Rr2YlxJeJxuANoQ7KPzH3eOvyU+bJD8n+hJekxmEMRx+jdY5nNBLPzgql+j9ahvuPtPMXgYeiH6AnU84Vk2J+zE20XuqmTXjj/FOqgK7x3xufOCJb0MmJYWXgNGlNJWtiT9Gt6sUN/9pwiAmsfOaE0boXE3oWbyG3EexvT1uXs9o/l5x898nZgTgmHJHEK4HXU1Ic3uYbUfm25UwHP+vhA+LWcA5uWy3Scy8aoRfRH+L6n+D8Iu/8+fRiesTBnZYFS17P59j+TQhmD6cEJisJwQdV8aVqxptf2lU91uEN3EnwSit0X46cE8hzusBhA+pdYQveIOIRrEtivMazT8qWtYpZl51wi2bfgYOiObtTxi86JfofC2Ojv3xcfWdQ/iSsoGQ0vQscSM6Ejc6cbLHNGrXi/xxHdmCmGX7Em57syI6d1OJG0mWXF4vMeff4+cX9tyQYHRiQmA2mTC4xmLCDeJzRhFtEpXpRhg8ZUl0DP9HuK6pQYK6e+bX3jz2ow7hi8tvUXsmAgcmKOfEjSLJHyN5J5qaFLI9fyVkWqwjBFmfAifELM8k3B5jCaH39VvCjwAWUybnuHRKUP/75DJaefR8zPP9IabsEYSgYT3h9fEAUC2uTM8E535BHsdsm/eNJNrRJNFzgORef8cQrg9cRwgqryTxe8bT8fPyaE9jwo90Kwmv4dfjnwsxbY59TXcnvNfkvK8sJHpP347n9gLgubh5CZ8bxI14TkjJnEF4H1lDCGbjPwMqEIKhL6LnwYro/7v584jI7xP3OZxHm1sQrlVeQ3h/exrYKZd9iD/nSb2WC3D8CvUdgPDj6eOEH5lWR8+FacBZMeWvJbw3L4uef99Ez73Y0YAHsh3vJVEdZxPeQ5ZH06fAmfkdT0KQN4E/vpd8GbV5m8+M7TmecfsZ//0t3+cvSXxOROUOI3yeLo+eqwsIn+OHJTi3RyWxL1UJmWU/RfV9mmg9ErynxuxvoinfbWtK72TRSRSRcsTMehM+2PfxmNFzRURERERKOqUTi5QjUerMnoRBLV5XACsiIiIipY16YkXKETN7n5Ca/AkhnaowA36IiIiIiKSNglgREREREREpNXSLHRERERERESk1FMSKiIiIiIhIqaGBnYpA3bp1vUmTJuluhoiIiIiISFpMnz79V3evl4ptpSyIjW5wfDHhnmwQ7tl1u7u/HS0fRLjpeiPC/fY+B25290/yqPNp4PwEi9a6e/WoTE/+uKF6rKruvj6mrsuAvxPunzkXuMrdP0pm35o0aUJWVlYyRUVERERERMocM1uYqm2lMp14MdAfOAhoS7iR+Otm1jJa/g3Ql3Bz7fbAfGCMme2SR539CEFn7PQ9MDKu3Nr4cnEB7OnAg8AdQGvCyK3vmlnjwu6siIiIiIiIFL20jk5sZr8BA9z98QTLMoEVQFd3H5tkfe2AyUC7nB7cqCf23+5eI4/1PgVmuXvvmHnzgFHuPiC/7bZt29bVEysiIiIiIuWVmU1397ap2FZaBnYys4pmdgZQg9DrGb88A+gDrARmFqDq3sDcBCnIVc1soZktNrO3zKx13LbaAOPi1hlHuJ+miIiIiIiIlBApHdjJzFoAU4AqwGrgFHefHbP8BOAloBqwBOjs7j8nWXctwjW1N8Qt+ga4EPgCqElIQf7YzA5093lAXaAiEL+dn4FOeWyvDyHQpnHjbbOON23axOLFi1m/fv02y6T4VKlShYYNG1K5cuV0N0VERERERIpBqkcn/gZoBdQGTgOeMbOj3H1OtHxStLwuoVd1pJkd5u5Lkqj7HEIw+mzsTHefQgicATCzTwi9u1cAV8YWjavPEsyLrXcoMBRCOnH88sWLF1OzZk2aNGmCmSXRfNle7s6yZctYvHgxTZs2TXdzRERERESkGKQ0ndjdN7r7d+6eFV1rOhO4Omb5mmj5VHe/CNgE9Eqy+t7Aq+7+Wz5tyAaygL2jWb8C2UD9uKI7s23vbNLWr1/PTjvtpAA2hcyMnXbaSb3fIiIiIiJlWFquiY3b/g7bsRwAMzsEOBAYlkRZA1oS0pVx943AdKBzXNHOJLhetyAUwKaejrmIiIiISNmWsiDWzO4ysw5m1sTMWpjZncBRwPNmlmlmt5vZoWbW2MzamNmTQENibpdjZiPMbESC6vsA84APEmz3VjM71sz2MLNWwHBCEPtYTLHBQE8z62Vm+5vZg0CDuDJlwoIFCzjggAPS3QxmzpzJO++8s/XxG2+8wV133ZXGFomIiIiISGmQymti6wPPRX9XALOA49x9rJlVA5oTBmDaCVgGTAOOcPdZMXVsM4KSmdUEzgBu88T3C6pNuHY1Z7szono/yyng7i+b2U7ATYT7yM4Bjnf3lN2wtzTbvHkzlSoV7Kk0c+ZMsrKyOP744wHo3r073bt3L47miYiIiIhIGZKyINbde+axbC1wShJ1HJVg3irCrXpyW+dqYq67zaPcI8Aj+ZUrbQYPHsyTTz4JQK9evTj55JPZvHkz559/PjNmzGCfffZhxIgRVKtWjeuvv5433niDSpUq0aVLF+69916WLl3KJZdcwqJFiwB44IEHaNeuHQMHDuTHH39kwYIF1K1bl//+9788+eSTNG/eHICjjjqK++67j+zsbK666irWrVtH1apVeeqpp2jatCm33HIL69atY/LkyQwYMIB169aRlZXFv//9bxYuXMiFF17I0qVLqVevHk899RSNGzemZ8+eZGZmkpWVxU8//cTdd9/NX//617QdWxERERGR8m7z5s3cd999Kd1muq+JlWI0ffp0nnrqKT799FOmTp3KsGHDWL58Od988w19+vRh1qxZZGZm8sgjj/Dbb7/x2muvMXfuXGbNmsVNN90EQL9+/bj66quZNm0ar776Kr169fpT/aNHj+aFF17gjDPOYOTIkPm9ZMkSfvzxR9q0acN+++3Hhx9+yIwZM7jtttu44YYbyMjI4LbbbuP0009n5syZnH766X9q9+WXX855553HrFmzOPvss7nyyj8GkV6yZAmTJ0/mrbfe4vrrr0/BURQRERERkUTmzJnDYYcdlvLv5QpiU8DMimXKz+TJkznllFOoXr06NWrU4NRTT+Wjjz6iUaNGtGvXDoBzzjmHyZMnk5mZSZUqVejVqxf/+c9/qFatGgATJkzg8ssvp1WrVnTv3p2VK1eyatUqIKQAV61aFYC//e1vvPLKKwCMHDmSHj16ALBixQp69OjBAQccwNVXX83cuXPzbfeUKVM466yzADj33HOZPHny1mUnn3wyFSpUoFmzZvz8c6EHjxYRERERkULatGkTgwYN4qCDDiIrK4tGjRqldPsKYsuwxJcIbzuCr5lRqVIlPvvsM0477TRef/11unbtCsCWLVuYMmUKM2fOZObMmfzwww/UrFkTgOrVq2+tY7fddmOnnXZi1qxZvPzyy5xxxhkA3HzzzRx99NHMmTOHN998s1C3v4lt7w47/DFYdW77JyIiIiIixWPmzJkccsgh3HLLLWzatIlLLrmEOXPmpLQNCmJTwN2LZcrPEUccweuvv87atWtZs2YNr732Gh06dGDRokVMmTIFgBdffJH27duzevVqVqxYwfHHH88DDzzAzJkzAejSpQv//ve/t9aZMz+RM844g7vvvpsVK1bQokULIPTE7rbbbgA8/fTTW8vWrFlza49uvMMPP5yXXnoJgOeff5727dvnu68iIiIiIlJ8Nm7cyC233MLBBx/MzJkzadq0KRMnTuTRRx8lMzMzpW1REFuGHXTQQfTs2ZNDDjmEQw89lF69erHjjjuy//7788wzz9CyZUt+++03Lr30UlatWsUJJ5xAy5YtOfLII7n//vsBGDJkCFlZWbRs2ZJmzZrx2GO533Xor3/9Ky+99BJ/+9vfts677rrrGDBgAO3atSM7O3vr/KOPPpovv/ySVq1a8fLLL/+pniFDhvDUU0/RsmVLnn32WR588MEiPjIiIiIiIpKsrKws2rRpw6BBg9i8eTNXXHEFs2bN4phjjklLe0wpmduvbdu2npWV9ad5X331Ffvvv3+aWlS+6diLiIiIiGy/9evX849//IN77rmH7Oxs9tprL5588kk6dOiwTVkzm+7ubVPRrlTeJ1ZERERERERKgalTp3LhhRfy1VdfYWZcc801DBo0aOsAsOmkIFZEREREREQAWLduHTfffDP3338/W7ZsYb/99uPJJ5/ksMMOS3fTttI1sSIiIiIiIsLkyZM58MADue+++wDo378/M2bMKFEBLKgnVkREREREpFxbs2YNN9xwAw899BDuTvPmzXnqqac4+OCD0920hNQTKyIiIiIiUk5NmjSJFi1aMGTIECpUqMBNN93E9OnTS2wAC+qJFRERERERKXdWrVrFddddt/UWmgceeCBPPfUUrVu3TnPL8qcgVpLSpEkTsrKyqFu37naVERGRorVhwwbGjh2LmbHzzjtTr1496tWrR40aNTCzdDdPRERKoPHjx9OrVy8WLVpE5cqVufnmm7n++uupXLlyupuWFAWxIiIipdScOXM4++yzmTVr1jbLqlSpQr169f4U2Ob8n2he9erVFfSKiJRxK1as4P/+7/944oknAGjTpg1PPfUULVq0SHPLCkZBbBm2YMECunbtSvv27Zk6dSoHHnggF1xwAbfeeiu//PILzz//PHvttRcXXngh33//PdWqVWPo0KG0bNmSZcuWceaZZ7J06VIOOeQQ3H1rvc899xxDhgxh48aNHHrooTzyyCNUrFgxjXsqIlK+bNmyhSFDhnD99dezYcMGmjZtyn777cfSpUv55ZdfWLp0KevWreN///sf//vf/5Kqs2rVqkkFu7FBr4iIlB7vvPMOffr04YcffiAjI4OBAwfy97//nUqVSl9IWPpaLAXy3Xff8corrzB06FAOPvhgXnjhBSZPnswbb7zBHXfcQaNGjWjdujWvv/467733Hueddx4zZ87kH//4B+3bt+eWW27h7bffZujQoQB89dVXvPzyy3z88cdUrlyZyy67jOeff57zzjsvzXsqIlI+/PDDD/Ts2ZMJEyYA0Lt3bwYPHkyNGjX+VG7NmjVbA9qcv7H/x89bt24dixYtYtGiRUm1o2rVqkkFuzn/V6tWrciPhYiI5G/58uVcddVVjBgxAoBDDz2UJ598kmbNmqW5ZYWnIDYViis9K6Z3NDdNmzbdmh7QvHlzOnbsiJnRokULFixYwMKFC3n11VcBOOaYY1i2bBkrVqzgww8/5D//+Q8A3bp1Y8cddwRg4sSJfxqtbN26dey8887FsXciIhLnlVde4eKLL2b58uXUrVuX4cOH071794Rlq1evTtOmTWnatGm+9bo7a9asSRjk5hYAr1u3joULF7Jw4cKk2l6tWrWkU5vr1aunoFdEpAiMHj2aSy65hJ9++okqVapw++23c9VVV5X6LEoFsWXcDjvssPX/ChUqbH1coUIFNm/enDB9IOeaqETXRrk7559/PnfeeWcxtVhEROKtWLGCK6+8cuuv6McffzzDhw+nfv36RVK/mVGjRg1q1KiRdNC7evXqfIPd2P/Xrl3LggULWLBgQVJtql69etKpzfXq1aNq1arbeRRERMqOX3/9lSuvvJIXX3wRgPbt2zN8+HD22WefNLesaCiITYUkekzT5YgjjuD555/n5ptv5v3336du3bpkZmZunX/TTTfx7rvvsnz5cgA6duzISSedxNVXX83OO+/Mb7/9xqpVq9h9993TvCciImXTRx99xLnnnsvChQupWrUq9913H5dccklaB2EyM2rWrEnNmjXZY4898i3v7qxatSrflObYv2vWrGHNmjVJB701atQo0EBWVapU2c6jICJSMo0aNYq+ffvyyy+/UK1aNe68804uv/xyKlSokO6mFRkFseXcwIEDueCCC2jZsiXVqlXjmWeeAeDWW2/lzDPP5KCDDuLII4+kcePGADRr1ozbb7+dLl26sGXLFipXrszDDz+sIFZEpIht3LiRW2+9lX/961+4O23atOH5559n3333TXfTCszMyMzMJDMzkz333DPf8u7OypUrCxT0rl69mtWrVzN//vyk2lSzZs0CDWQVm9kkIlIS/fLLL/Tt25dRo0YBcNRRR/HEE08k9b5b2pinqJfQzPoCFwNNollzgdvd/e1o+SCgB9AI2Ah8Dtzs7p/kUefTwPkJFq119+pRmd7AeUBzoAIwI6p3ckw9A4Fb4+r42d2TytNq27atZ2Vl/WneV199xf7775/M6lLEdOxFpLT76quvOPvss5kxYwYVKlRgwIAB3HrrraXm/n2plhP0FmQgq82bNxdoGzVr1kw6tVlBr4ikkrvz0ksvccUVV7Bs2TJq1KjB3XffzcUXX5zS3lczm+7ubVOxrVT2xC4G+gPzCMHk+cDrZtbG3WcB3wB9gflAVeBqYIyZ7e3uP+dSZz/g+rh5HwMfxjw+Cng5mr82qnesmbVy93kx5b6JyubILugOioiIbA9355FHHuH//u//WL9+PU2bNuXZZ5+lXbt26W5aiWZm1KpVi1q1arH33nvnW97dWbFiRVLBbs7/q1atYtWqVfz3v/9Nqk2ZmZl/CmwPPfRQ/v73v+uHCBEpUkuWLOHSSy9l9OjRAHTq1Ilhw4bRpEmT9DasmKUsiHX30XGzbjSzS4HDgFnu/lzsQjO7BrgIaAWMzaXOFcCKmHXaAXsA58aUOTuu3kuBk4GuhIA6x2Z3/6lAOyUiIlJElixZwoUXXsiYMWMAuOCCC3jggQfIzMxMc8vKHjOjdu3a1K5dO6lBTtyd33//vUADWa1cuZKVK1fy3XffAfDGG2+wZcsWbrrppuLePREpB9ydZ599lquuuorly5eTmZnJfffdx0UXXZTWMRNSJS3XxJpZRULqcA1gm3RhM8sA+gArgZkFqLo3MDevFGQgA6gCLI+bv4eZ/UBIZf4UuMHdvy/AtkVERArltddeo3fv3ixbtow6deowdOhQTjvttHQ3SyJmxo477siOO+6YVNC7ZcuWrUHv0qVLmTVrFn379uW2227jpJNO2nrrOxGRwli8eDEXX3wx77zzDgDHHXccjz/+OI0aNUpzy1InpUNUmVkLM1sNbAAeA05x99kxy0+Ilq8npP12ziOVOL7uWoTAeFg+RW8HVgNvxMz7FOgJHEcIhOsDn5jZTnlsr4+ZZZlZ1tKlSxOWSdX1xvIHHXMRKU1WrVrFRRddxKmnnsqyZcvo0qULs2fPVgBbylWoUIE6deqw77770r59ey677DIuueQSNm3aRM+ePdm0aVO6mygipZC7M3z4cJo3b84777xD7dq1efrpp3n77bfLVQALKQ5iCdedtgL+AjwKPGNmB8QsnxQtPxwYA4w0s12TrPscoCLwbG4FzKwfYXCpU919Zc58d3/X3Ue6+yx3nwCcwB/X7Sbk7kPdva27t61Xr942y6tUqcKyZcsUVKWQu7Ns2TLdNkFESoVPPvmEVq1a8eSTT1KlShWGDBnCu+++S4MGDdLdNCkGd999N7vvvjuff/45//rXv9LdHBEpZRYuXEjXrl3p1asXK1eupHv37sydO5fzzz+/XKQPx0vZ6MQJN242AVjo7hflsnweMMLdByVR10xCKvHZuSzvR+iFPS52ZOI86psEfO3ul+ZXNtHoxJs2bWLx4sWsX78+v9WlCFWpUoWGDRtq4AwRKbE2bdrEoEGD+Oc//8mWLVto1aoVzz//PM2aNUt306SYvffee3Ts2JHKlSszffp0pRWLSL62bNnC448/znXXXcfq1aupU6cODz30EGeeeWaJC17L6ujEiVQA8hqDPr/lAJjZIcCBwFW5LL8GuA04PskAtgqwH6FnuFAqV65M06ZNC7u6iIiUQd9++y3nnHMO06ZNw8zo378/t912GxkZGelumqTAMcccwyWXXMJjjz1Gz549mTp1qn50FZFcff/99/Tq1YtJk0JIctppp/Hwww+zyy67pLll6ZeydGIzu8vMOphZk+ja2DsJt7R53swyzex2MzvUzBqbWRszexJoCIyMqWOEmY1IUH0fwkjDHyTY7t+Bu4ALgW/NrH401Yopc6+ZHWlmTc3sUGAUUB14puiOgIiIlFfuzuOPP07r1q2ZNm0ajRs3ZtKkSdx1110KYMsZpRWLSH62bNnCkCFDaNGiBZMmTaJevXqMHDmSUaNGKYCNpPKa2PrAc4TrYicCBxNSe98FNgPNgdcIweibwE7AEdE9ZHM0jqatzKwmcAbwhCfOje4LVCbcK3ZJzPRgTJmGwItR2/5DGHjqL+6+cDv2V0REhJ9//pnu3btzySWXsHbtWs455xxmzZrFkUceme6mSRrUrFmTJ598EoDbbruN2bNn57OGiJQn8+bN48gjj6Rfv36sXbuWM844g7lz59KjR490N61ESes1sWVFomtiRURE3nzzTS666CKWLl1K7dq1eeyxxzj99NPT3SwpAS699FIee+wxDjroIKUViwjZ2dk8+OCD3Hjjjaxfv55ddtmFxx57jJNPPjndTUtaKq+JTfXoxCIiImXemjVruPjii+nevTtLly7lmGOOYfbs2QpgZSulFYtIjq+++or27dtz7bXXsn79es4991y+/PLLUhXAppqCWBERkSL02Wef0bp1a4YOHUpGRgaDBw9m/PjxNGzYMN1NkxKkZs2aDB8+HFBasUh5tXnzZu666y5at27N1KlTadCgAW+99RYjRoygTp066W5eiaYgVkREpAhs3ryZ2267jcMPP5x58+bRokULpk2bxtVXX02FCvq4lW117NiRSy65hE2bNtGzZ082bdqU7iaJSIrMmTOHww47jAEDBrBhwwYuuugi5s6dS7du3dLdtFJBn6oiIiLb6b///S8dOnTg1ltvJTs7m2uuuYbPPvuMli1bprtpUsLFphXffffd6W6OiBSznHuFH3TQQWRlZdG4cWPGjh3LE088Qe3atdPdvFJDQayIiEghuTvDhw/nwAMPZOrUqey2225MmDCB++67jypVqqS7eVIKxKYV/+Mf/1BasUgZNnPmTA455BBuueUWNm3axCWXXMLs2bPp0qVLuptW6iiIFRERKYSlS5dy6qmn0qtXL9asWcPpp5/O7Nmz6dixY7qbJqWM0opFyraNGzdyyy23cPDBBzNz5kyaNGnCxIkTefTRR8nMzEx380olBbEiIiIF9O6779KiRQtef/11MjMzee6553jxxRfZcccd0900KaWUVixSNmVlZdGmTRsGDRrE5s2bueKKK5g9ezbHHHNMuptWqimIFRERSdLatWu5/PLLOf744/n555854ogjmDVrFmeffTZmlu7mSSmmtGKRsmX9+vUMGDCAv/zlL8yZM4e99tqLDz/8kCFDhlCjRo10N6/UUxArIiKShM8//5w2bdrw8MMPU7lyZf71r3/x3nvvsfvuu6e7aVJGKK1YpGyYOnUqBx10EHfddRdbtmzhmmuu4YsvvqBDhw7pblqZoSBWREQkD9nZ2dx5550ceuihfP311zRr1oxPP/2U6667jooVK6a7eVLGKK1YpPRat24d//d//0e7du346quv2G+//fj444+57777qFatWrqbV6YoiBUREcnF/PnzOeqoo7jhhhvYvHkzV155JVlZWbRu3TrdTZMySmnFIqXT5MmTOfDAA7nvvvsA6N+/PzNmzOCwww5Lc8vKJgWxIiIicdydZ555hgMPPJDJkyez6667MnbsWB588EGqVq2a7uZJGae0YpHSY82aNfTr148jjjiCefPm0bx5c6ZOncpdd92lW60VIwWxIiIiMZYtW8bf/vY3evbsyapVqzj11FN1Hz9JOaUVi5R8kyZNokWLFgwZMoQKFSpw0003MX36dA4++OB0N63MUxArIiISGT9+PC1btmTUqFHUqFGDp556ilGjRrHTTjulu2lSziitWKTkWrVqFZdeeinHHHMM8+fP58ADD2TatGkMGjSIHXbYId3NKxcUxIqISLm3bt06rrrqKrp06cKPP/5Iu3bt+OKLL+jZs6dunSNpo7RikZJn/PjxHHDAATz22GNUrlyZf/zjH3z22WcaKyHFFMSKiEi59sUXX3DwwQfz4IMPUqlSJf75z3/ywQcfsMcee6S7aSJKKxYpIVasWEHv3r3p0qULixYtok2bNkyfPp1bbrmFjIyMdDev3FEQKyIi5VJ2djb33HMPBx98MHPnzmXfffdlypQp3HDDDbp1jpQYSisWSb933nmH5s2b88QTT5CRkcEdd9zB1KlTadGiRbqbVm4piBURkXJn0aJFdOzYkeuuu45NmzZx2WWX8fnnn9O2bdt0N01kG0orFkmP5cuXc/7559OtWzd++OEHDj30UGbMmMGAAQOoVKlSuptXrimIFRGRcuWFF16gZcuWfPDBB+y888689dZbPPzww7oRvZRoSisWSa3Ro0fTrFkzRowYQZUqVbj33nv5+OOPadasWbqbJqQwiDWzvmY2y8xWRtMUM+sWs3yQmX1tZmvMbLmZTTSzw/Op82kz8wTTmrhyp5nZl2a2Ifp7SoK6LjOz+Wa23symm1mHott7ERFJt+XLl3PWWWdx9tlns2LFCk466STmzJlDt27d8l9ZJM2UViySGr/++itnnXUWJ598Mj/99NPWgf6uvfZaXWpSgqSyJ3Yx0B84CGgLvAe8bmYto+XfAH2BFkB7YD4wxsx2yaPOfsCucdP3wMicAmZ2GPAy8DzQKvr7ipkdGlPmdOBB4A6gNfAJ8K6ZNd6uPRYRkRJh0qRJtGzZkhdffJHq1aszbNgwXnvtNerVq5fupokkrWPHjlx88cVKKxYpJqNGjaJ58+a8+OKLVK1alQceeIAPPviAffbZJ91Nkzjm7unbuNlvwAB3fzzBskxgBdDV3ccmWV87YDLQzt0/iea9DNRx984x5SYAS939zOjxp8Asd+8dU2YeMMrdB+S33bZt23pWVlYyTRQRkRTasGEDN954I4MHD8bdOfTQQ3nuuefYa6+90t00kUJZtWoVLVq0YOHChdx+++3ceOON6W6SSKn3yy+/0LdvX0aNGgXAkUceyfDhw9lzzz3T3LLSxcymu3tKBpdIyzWxZlbRzM4AahB6PeOXZwB9gJXAzAJU3RuYmxPARg4DxsWVGwscHrOtNgnKjMspIyIipc/s2bM55JBDuO+++6hQoQIDBw5k8uTJCmClVItPK54zZ06aWyRSerk7L774Is2aNWPUqFFUr16dhx9+mPfee08BbAmX0iDWzFqY2WpgA/AYcIq7z45ZfkK0fD1wNdDZ3X9Osu5aQA9gWNyi+kB8HT9H8wHqAhXzKSMiIqXEli1buP/++zn44IOZNWsWe+21Fx9//DG33nqrRpOUMkFpxSLbb8mSJZxyyimcddZZLFu2jE6dOjFnzhwuu+wyKlTQ2LclXarP0DeE61L/AjwKPGNmB8QsnxQtPxwYA4w0s12TrPscQjD6bIJl8TnTlmBeMmX+WGjWx8yyzCxr6dKlSTZRRESK0+LFi+nSpQvXXHMNGzZsoHfv3syYMYNDDz00/5VFSpF77rmH3XffnenTp2u0YpECcHdGjBhB8+bNGT16NJmZmQwbNoxx48bRpEmTdDdPkpTSINbdN7r7d+6eFV1rOpPQ45qzfE20fKq7XwRsAnolWX1v4FV3/y1u/k9s26O6M3/0vP4KZOdTJtG+DHX3tu7eVgODiIik38iRI2nZsiUTJ06kbt26jB49mqFDh1KjRo10N02kyCmtWKTgFi9ezAknnMD555/P8uXLOe6445gzZw69evXCzNLdPCmAdPeVVwB22I7lAJjZIcCBbJtKDDAF6Bw3rzPRtbjuvhGYnlcZEREpuVasWMF5553H6aefzvLlyzn++OOZPXs23bt3T3fTRIqV0opFkuPuDB8+nObNm/POO+9Qu3Ztnn76ad5++20aNWqU7uZJIaTyPrF3mVkHM2sSXRt7J3AU8LyZZZrZ7WZ2qJk1NrM2ZvYk0JA/3y5nhJmNSFB9H2Ae8EGCZQ8Cx5jZADPbz8wGAEcDD8SUGQz0NLNeZra/mT0INCBctysiIiXURx99xIEHHsizzz5L1apVefTRR3nrrbeoX19DGkj5cM8999C4cWOlFYvkYuHChXTt2pVevXqxcuVKTjzxRObOncv555+v3tdSLJU9sfWB5wjXxU4EDgaOc/d3gc1Ac+A1QjD6JrATcIS7z4qpo3E0bWVmNYEzgCc8wf2CopGKzwDOB2YB5wGnu/unMWVeBq4CbiKkOLcHjnf3hdu70yIiUvQ2btzIgAEDOPLII1m4cCFt2rRhxowZXHLJJfpSIuWK0opFEtuyZQuPPvooBxxwAOPGjaNOnTo8//zzjB49mgYNGqS7ebKd0nqf2LJC94kVEUmdL7/8knPOOYcZM2ZQoUIFBgwYwK233krlypXT3TSRtLnkkkt4/PHHadOmDVOmTNHrQcq177//nl69ejFp0iQATjvtNB5++GF22WWXNLesbCvz94kVEREpKHfn3//+99Ze16ZNm/Lhhx9y++236wu7lHtKKxYJva9DhgyhRYsWTJo0iXr16jFy5EhGjRqlALaMURArIiIl3pIlSzj++OO54oorWL9+PRdccAEzZ86kXbt26W6aSImgtGIp7+bNm8eRRx5Jv379WLt2LWeccQZz586lR48e6W6aFAMFsSIiUqL95z//oUWLFowZM4Y6derw6quv8uSTT5KZmZnupomUKJ06ddJoxVLuZGdnM3jwYFq2bMnkyZPZZZddeO2113jxxRfRbTDLLgWxIiJSIq1atYoLL7yQ0047jWXLltGlSxdmz57Nqaeemu6miZRYsWnF99xzT7qbI1KsvvrqK9q3b8+1117L+vXrOffcc/nyyy85+eST0900KWYKYkVEpMT55JNPaNWqFU899RRVqlRhyJAhvPvuuxpRUiQfsWnFAwcOVFqxlEmbN2/mrrvuonXr1kydOpUGDRrw5ptvMmLECOrUqZPu5kkKKIgVEZESY9OmTdx888106NCB77//nlatWjF9+nSuuOIKKlTQR5ZIMpRWLGXZnDlzOOywwxgwYAAbNmzgwgsvZO7cuZxwwgnpbpqkkL4RiIhIifDtt9/Srl07br/9dtyd/v378+mnn9KsWbN0N02k1Ln77ruVVixlyqZNmxg0aBAHHXQQWVlZNGrUiDFjxjB8+HBq166d7uZJiimIFRGRtHJ3HnvsMVq3bs20adNo3Lgx77//PnfddRcZGRnpbp5IqZSZmam0Yikzvv32Ww455BBuueUWNm3axMUXX8ycOXM49thj0900SRMFsSIikjY///wzJ554Ipdeeilr167lnHPOYdasWRxxxBHpbppIqae0YikLvv/+e44++mhmzpxJkyZNmDhxIo899phGqC/nFMSKiEhavPHGG7Ro0YK3336b2rVr89JLL/Hss89Sq1atdDdNpMxQWrGUZj/88AOdOnXixx9/pEOHDsyePZtjjjkm3c2SEkBBrIiIpNTq1avp06cPJ510EkuXLuWYY45h9uzZnH766elumkiZo7RiKa1++eUXOnXqxPz58zn44IN56623qFGjRrqbJSWEglgREUmZTz/9lNatWzNs2DAyMjIYPHgw48ePp2HDhulumkiZpbRiKW2WL19Oly5d+Prrr2nRogVjxoxR+rD8iYJYEREpdps3b+a2226jXbt2fPfdd7Ro0YKsrCyuvvpq3TpHJAWUViylxapVqzjuuOP44osv2GeffRg/frzu/Srb0DcHEREpVt999x0dOnTg1ltvJTs7m2uvvZbPPvuMFi1apLtpIuWG0oqlNFi3bh3du3fn008/Zffdd2fChAnssssu6W6WlEAKYkVEpFi4O0888QStWrVi6tSp7LbbbkyYMIF7772XKlWqpLt5IuVOp06d6NOnz9a04s2bN6e7SSJbbdy4kdNOO43333+fXXfdlYkTJ9KoUaN0N0tKKAWxIiJS5JYuXcopp5xC7969WbNmDaeffjqzZ8+mY8eO6W6aSLl2zz33bE0rvvvuu9PdHBEgXHJy9tln8+6777LTTjsxYcIE9txzz3Q3S0owBbEiIlKk3nnnHVq0aMHo0aPJzMzkueee48UXX2THHXdMd9NEyj2lFUtJs2XLFi666CJGjRpFrVq1GDduHM2aNUt3s6SEUxArIiJFYu3atfTt25du3brx888/c+SRRzJr1izOPvtszCzdzRORiNKKpaRwdy6//HJGjBhB9erVeeeddzjooIPS3SwpBRTEiojIdps+fToHHXQQjzzyCJUrV+Zf//oXEydOZPfdd09300QkAaUVS7q5O/379+fRRx9lhx12YPTo0Rx++OHpbpaUEgpiRUSk0LKzs7njjjv4y1/+wjfffEOzZs349NNPue6666hYsWK6myciuVBasaTb7bffzj333EOlSpUYNWqUxkyQAklZEGtmfc1slpmtjKYpZtYtZvkgM/vazNaY2XIzm2hm+f4cY2YZZnabmc03sw1mtsjMroxZ/r6ZeYJpbkyZgQmW/1T0R0FEpOyYP38+Rx55JDfeeCObN2/myiuvJCsri9atW6e7aSKSBKUVS7rcf//93HLLLVSoUIHnn3+eE044Id1NklImlT2xi4H+wEFAW+A94HUzaxkt/wboC7QA2gPzgTFmlt/NoV4EugJ9gH2BHsCsmOWnArvGTE2AVcDIuHq+iSunGxiKiCTg7jzzzDMceOCBfPzxx+y6666MHTuWBx98kKpVq6a7eSJSAEorllQbOnQo11xzDQBPPPEEf/vb39LcIimNzN3Tt3Gz34AB7v54gmWZwAqgq7uPzWX9LsArwJ7u/muS2zwbGAE0cff/RfMGAn919wMKsx9t27b1rKyswqwqIlKqLFu2jEsuuYRRo0YBcNppp/H444+z0047pbllIlJY48ePp0uXLlSuXJnPP/+cAw4o1NchkXw9//zznHvuubg7Dz30EJdffnm6myRFyMymu3vbVGwrLdfEmllFMzsDqAF8kmB5BqFndSUwM4+qTgamAdeY2WIzm2dmQ8ysRh7r9AbezQlgY+xhZj9EackvmdkeBdglEZEyb9y4cbRo0YJRo0ZRs2ZNnn76aV555RUFsCKlXOfOnZVWLMXu9ddf5/zzz8fdufPOOxXAynZJaRBrZi3MbDWwAXgMOMXdZ8csPyFavh64Gujs7j/nUeUehNTjA4HTgMsJqcVP57L9fYAjgWFxiz4FegLHEYLc+sAnZqZvZiJS7q1bt45+/fpx7LHHsmTJEtq1a8cXX3zB+eefr1vniJQRSiuW4jR27FhOP/10srOzufHGG7n++uvT3SQp5VKaThz1sDYGahOCzt7AUe4+J1penXA9at1oWUfgMHdfkkt944AOQH13XxHN6wKMjeb9HFf+HuBsoLG75/ozY9ST+z1wl7sPzqVMH0JvMY0bN26zcOHCZA6BiEiJtGHDBhYtWsT8+fNZsGDBn/7OmzeP3377jUqVKvGPf/yD/v37a+RhkTJIacVSHD788EO6du3KunXruPLKK3nggQf0A2gZlcp04nRfEzsBWOjuF+WyfB4wwt0H5bL8GaCdu+8VM68RsAg4xN2nxczPIAwuNczdb0yibZOAr9390vzK6ppYESnpNm/ezP/+979tAtScvz/++CN5fR7sv//+jBgxgrZtU/LZJCJpcvHFFzN06FDatm3LlClTqFSpUrqbJKXYtGnT6NixI6tWreKiiy5i6NChVKigO3yWVakMYtP9zlQB2GE7ln8M9DCzGu6+Opq3T/Q3vmv0ZEIP7/D8GmVmVYD9gEn5lRURKQmys7NZsmRJwgB1/vz5LF68mOzs7FzXr1ChAo0bN6Zp06Y0adLkT3+bNm1KgwYN9MVDpBy45557GDNmDFlZWdx9993ccMMN6W6SlFKzZs3i2GOPZdWqVZxxxhk8/vjj+hyRIpOynlgzuwt4G/gfUBM4i3DLnW6EYPQ64E1gCVCPcLuds4GD3X1WVMcIAHc/L3pcA/gKmAoMJKQpPw585e494rY/IazqnRO07d5o24uAnYGbgSOAFu6eb56wemJFpLi5Oz///POfAtPYYHXhwoVs2rQp1/XNjAYNGiQMUps0aULDhg2pXLlyCvdIREoqpRXL9vr222/p0KEDv/zyC927d2fUqFH6jCkHympPbH3guejvCsK9XI9z97FmVg1oDlwI7AQsI4w6fEROABtpHFuhu682s07AQ1H55cDrwJ+uFo9GGj4GOCOXtjUk3G+2LrCUEBT/JZkAVkSkKLg7y5YtyzXdd8GCBaxfvz7POnbZZZeEAWrTpk1p3LgxO+yQV2KLiEiQM1rx0KFDueCCC5RWLAWyYMECOnbsyC+//EKnTp14+eWXFcBKkUvrNbFlhXpiRSQZK1asyDXdd8GCBaxevTrP9evUqZNruu/uu+9OtWrVUrQnIlLWrVy5khYtWrBo0SL++c9/Kq1YkrJkyRI6dOjAf//7X9q1a8fYsWOpXr16upslKVJuBnYqKxTEllxLlizhgw8+YMcdd6R27drUrl176/8ZGRnpbp6UMWvWrMk1QJ0/fz6///57nuvXrFlza1AaH6w2adKEzMzM1OyIiAhKK5aC+fXXXznyyCP58ssvadOmDRMnTqRWrVrpbpakUFlNJxZJuc8//5wzzzwz4bKqVasmDG6T+T8zM1O3GCmH1q9fz8KFC3NN9126dGme61erVi3XdN8mTZqw44476rYDIlJiKK1YkvX777/TpUsXvvzyS5o3b86YMWMUwEqx0juRlGl169alR48e/P777/z+++8sX758699169axbt06fvzxx0LVXatWrUIFwLVr16Z69eoKVkqgTZs2sWjRolyvS12yJOEtq7fKyMjY2muaKFCtV6+ezruIlCqxoxXfc889DBgwIN1NkhJmzZo1dOvWjRkzZrDXXnsxfvx46tatm+5mSRmndOIioHTi0sfdWbNmzTbBbbL/r1ixYru2X6lSpa0BbWGCYA3QUzjZ2dn88MMPuab7/vDDD2zZsiXX9StWrLj1NjSJgtT69evr9gEiUubkpBVnZGQwffp0pRXLVuvXr+eEE05g4sSJNGrUiI8++ojdd9893c2SNNE1saWMgtjyJzs7m5UrV24T3CYbBK9du3a7tl+1atVCB8C1atUqs6nQW7Zs4aeffsr1NjSLFi1i8+bNua5vZjRs2DDXdN/ddttNqXQiUi5dfPHFDB06lLZt2yqtWICQvXTqqafy1ltvscsuu/DRRx+x9957p7tZkkYKYksZBbFSUBs2bGDFihWF6gVevnx5noFYMjIzMwsVAO+4445pTYV2d5YuXZpruu/ChQvZsGFDnnXsuuuuuab7NmrUSAN+iYgkEDta8R133KG04nIuOzubs88+m5dffpk6derwwQcfqIdeFMSWNgpiJZXcnbVr125XKvT2vO4rVqy4TXBbkCA4r1Rod+f333/P8zY0+fVi161bN9fb0DRu3JiqVasWet9FRMozpRULhKynXr168dRTT1GzZk3ee+892rZNSdwiJZyC2FJGQayUJlu2bEmYCp3s/9ubCl2lSpVtgttKlSqxaNEi5s+fz8qVK/Ncv3bt2n8KTONvQ1OjRo3tap+IiOSuT58+DBs2TGnF5ZS7069fPx566CGqVq3KuHHjaN++fbqbJSVEiQxizewB4Al3n1OsLSqFFMRKebJx48btSoXetGlTnvVXr14914GTmjRpQu3atVOzoyIisg2lFZdvN954I3fccQcZGRm89dZbdO7cOd1NkhKkpAaxHwN/AaYDTwAvuXveXSblhIJYkeS4O+vWrdsmuN2wYQONGjWiadOm7LTTTroNjYhICaa04vLpjjvu4MYbb6RixYq8+uqrnHTSSelukpQwJTKIBTCzfYELgXOAWsB/gOHu/kHxNK90UBArIiIi5YnSisuXIUOG0K9fP8yM559/njPPPDPdTZISKJVBbIFuaOju37h7f6ARcAZQAxhnZvPM7Hozq1McjRQRERGRkuPee++lcePGZGVlcc8996S7OVKMnnzySfr16wfA0KFDFcBKiVCgIDZGZSCT0BtbEVgEnAssMrOziqhtIiIiIlICZWZm8sQTTwAwcOBA5szRkCll0UsvvUSvXr0AuP/++7f+L5JuBQpizaytmT0CLAHuBqYCe7t7R3dvDtwI3F/0zRQRERGRkqRz58707t2bjRs3csEFF2z3PcylZHnzzTc599xzcXcGDRrEVVddle4miWyVdBBrZrOBTwipxD2B3d39RnefH1PsBaBekbZQREREREqke++9l0aNGimtuIyZMGECPXr0YPPmzfTv358bb7wx3U0S+ZOC9MSOBJq6+4nu/oa7Z8cXcPel7l7YFGURERERKUWUVlz2fPzxx5x00kls2LCBvn37cuedd+quAVLiFCTgNGD5NjPNqprZLUXXJBEREREpLbp06aK04jLi888/5/jjj2ft2rX07NmTIUOGKICVEqkgQeythNGI41WLlomIiIhIOaS04tJv7ty5dOnShZUrV9KjRw+GDRtGhQpKsJSSqaA9sYluKtsa+K1omiMiIiIipY3Siku37777jk6dOrFs2TK6devGc889p3v/SomWbxBrZqvMbCUhgP3ezFbGTGuAsYTrZUVERESknFJacem0aNEiOnbsyE8//cTRRx/NK6+8QkZGRrqbJZKnZHpiLweuJPTE3ghcETP1Atq7e9/8KjGzvmY2KyYAnmJm3WKWDzKzr81sjZktN7OJZnZ4EvVmmNltZjbfzDaY2SIzuzJmeU8z8wRTlbh6LovqWG9m082sQxLHRkREREQiSisuXX766Sc6derEokWLOOyww3jjjTeoWrVqupslkq988wTc/RkAM5sPfOLumwq5rcVAf2AeIXg+H3jdzNq4+yzgG6AvMB+oClwNjDGzvd395zzqfZFw258+Ud27ROvHWgvsGbdf63P+N7PTgQeBy4DJ0d93zayZuy8q3O6KiIiIlC85acXHHnssAwcO5MQTT+SAAw5Id7MkgWXLltG5c2fmzZtHq1ateOedd6hRI9HwNyIlj7knusw1WmhWx91/y/k/r4pyyhVo42a/AQPc/fEEyzKBFUBXdx+by/pdgFeAPd3911zK9AT+7e65virN7FNglrv3jpk3Dxjl7gPy24+2bdt6VlZWfsVEREREyoU+ffowbNgw2rZty5QpU3R9ZQmzcuVKOnbsSFZWFvvvvz8ffPAB9erVS3ezpJQzs+nu3jYV28ovnXipme0c/f8rsDTBlDM/aWZW0czOIIx2/EmC5RmEntWVwMw8qjoZmAZcY2aLzWyemQ0xs/iAtaqZLYzKvGVmreO21QYYF7fOOCDfdGYRERER+TOlFZdca9asoVu3bmRlZbHHHnswfvx4BbBS6uT3s9gx/DHy8NHbuzEzawFMAaoAq4FT3H12zPITgJcIt+1ZAnTOJ5V4D6A9sAE4DagNPAQ0AP4alfkGuBD4AqgJ9AM+NrMD3X0eUBeoCMRv52egUx770ocQaNO4ceN89lxERESk/IhPK+7evTvNmzdPd7PKvQ0bNnDKKacwefJkdtttNyZOnMhuu+2W7maJFFie6cRFvrHQ69mYEGyeBvQGjnL3OdHy6sCuhMCyN9AROMzdl+RS3zigA1Df3VdE87oQRkyunygANrOKhN7dSe5+pZk1AH4AjnD3j2LK3Qqc6e775bdfSicWERER2ZbSikuOTZs20aNHD0aPHs3OO+/Mhx9+yL777pvuZkkZUpLSibdhZg3MrJWZHRQ7JbOuu2909+/cPSu61nQmYQCnnOVrouVT3f0iYBNhBOTcLAF+yAlgI19FfxN2j7p7NpAF7B3N+hXIBurHFd2ZbXtnRURERCRJSisuGbKzs+nZsyejR49mxx13ZPz48QpgpVRLOog1s9ZmNhf4H/A5IRDMmaZtx/Z32I7lHwMN4q6B3Sf6uzDRCmZmQEtCAIy7bwSmA53jinYmwfW6IiIiIpKcnLRigIEDBzJ37tw0t6j8cXcuvfRSXnjhBWrUqMGYMWNo2bJlupslsl0K0hM7lBDAdiBci9o0Ztojv5XN7C4z62BmTcyshZndCRwFPG9mmWZ2u5kdamaNzayNmT0JNARGxtQxwsxGxFT7ArAMeMrMmptZO8Ktcka5+y/ROrea2bFmtoeZtQKGE4LYx2LqGQz0NLNeZra/mT1IuK42toyIiIiIFFCXLl3o3bs3GzdupGfPnmzevDndTSo33J1rrrmGYcOGUaVKFd566y0OOeSQdDdLZLsVJIhtBlzp7p+4+wJ3Xxg7JbF+feA5wkBLE4GDgePc/V1gM9AceI1wr9c3gZ0I16nOiqmjMTFpwu6+mjD4Ui1Cb/BI4APCQE45ahMC8K8IIw7vFtX7WUw9LwNXATcRUpzbA8cnuV8iIiIikgelFafHrbfeygMPPEDlypV57bXXOPLII9PdJJEikfTATmY2FbjO3T8s3iaVPhrYSURERCRv48aN49hjjyUjI4PPP/9coxUXs7vvvpv+/ftTsWJFRo4cyamnnpruJkkZV1IHdroBuNvMOpnZLmZWJ3YqrgaKiIiISOnXpUsXevXqpbTiFHjkkUfo378/ZsbTTz+tAFbKnIIEsROAQwgpuT8CS6Pp1+iviIiIiEiu7rvvPqUVF7NnnnmGvn37AvDoo49yzjnnpLlFIkWvIOnEeSbRu/sHRdKiUkjpxCIiIiLJUVpx8Rk1ahSnn346W7Zs4d577+Xaa69Nd5OkHEllOnHSd5wuz0GqiIiIiBSNnLTiJ554gp49ezJlyhQqVUr6K6nk4p133uHMM89ky5YtDBw4UAGslGl5phOb2UFmViHm/1yn1DRXREREREq72LTie++9N93NKfUmTZrEaaedxubNm7n22mu55ZZb0t0kkWKVZzqxmW0B6rv7L9H/DliCou7uFYupjSWe0olFRERECkZpxUVjypQpdO7cmTVr1nDJJZfwyCOPYJbo67pI8SpJoxM35Y9Bm5oCe0R/46c9iquBIiIiIlL2aLTi7Tdz5kyOO+441qxZwznnnMPDDz+sAFbKhTyDWHdf6FFXbfR/rlNqmisiIiIiZYXSigvvq6++okuXLqxYsYJTTjmFp556igoVCnLjEZHSK7904qSvdXX3z4ukRaWQ0olFRERECmfs2LF07dpVacUF8P3339OhQwd+/PFHunbtyuuvv84OO+yQ7mZJOVeSRifOIvfrYGM5UG6viRURERGRwjn22GM1WnEBLF68mI4dO/Ljjz9yxBFH8OqrryqAlXInmWtic7sOVtfEioiIiMh2U1pxcn755Rc6derEggULOOSQQ3jrrbeoVq1aupslknJ5phNLcpROLCIiIrJ9lFact+XLl3P00UfzxRdf0LJlSyZNmkSdOnXS3SyRrUrS6MTbMLMGZvYXMzsidiqOxomIiIhI+ZCTVqzRire1atUqjjvuOL744gv22Wcfxo0bpwBWyrWkg9goeH0fWAx8DLwPTIqZREREREQKTWnF21q7di0nnngin376KU2aNGHixInssssu6W6WSFoVpCf2ASAbaAasBToAPYCvgK5F3jIRERERKVcyMzMZNmwYALfeeitz585Nc4vSa+PGjfz1r3/lgw8+oEGDBkyYMIGGDRumu1kiaVeQIPZIoL+7f00YjXipu/8H6A8MKo7GiYiIiEj5EptWfMEFF5TbtOLNmzdz1lln8e6771K3bl0mTJjAnnvume5miZQIBQliqwK/Rv//Buwc/f8l0LIoGyUiIiIi5de9995Lw4YNmTZtWrlMK96yZQsXXnghr776KrVq1WLcuHHsv//+6W6WSIlRkCD2a2C/6P+ZwCVmtjvQF/ihiNslIiIiIuVUrVq1eOKJJ4Dyl1bs7vTt25dnn32W6tWr8+6779K6det0N0ukRClIEPsgUD/6/zagCzCfEMTeUMTtEhEREZFyrDymFbs71113HY899hg77LADb7zxBocddli6myVS4iQdxLr78+7+dPT/58BewFFAI3d/pVhaJyIiIiLlVnlLKx40aBD33nsvlSpV4tVXX+WYY45Jd5NESqR8g1gz62hmf4ubdz3wC/Ae8JyZ1U6inr5mNsvMVkbTFDPrFrN8kJl9bWZrzGy5mU00s8OTqDfDzG4zs/lmtsHMFpnZlTHLe5vZR2b2m5n9bmaTzKx9XB0Dzczjpp/y27aIiIiIFJ/ylFY8ePBgbr31VipUqMALL7xAt27d8l9JpJxKpif2emDrWN5mdghwB/AscB1wIHBjEvUsJoxkfBDQlhAAv25mOYNCfUNITW4BtCekKo8xs/xuhPUi4RY/fYB9Cbf9mRWz/CjgZaAjcGi0nbFmtndcPd8Au8ZMLZLYJxEREREpRuUhrXjo0KFce+21AAwfPpwePXqkuUUiJZu5e94FQo9kN3efHj2+BzjM3dtHj3sAt7v7vgXeuNlvwAB3fzzBskxgBdDV3cfmsn4X4BVgT3f/NVGZBOsYsAT4p7s/FM0bCPzV3Q8o6D4AtG3b1rOysgqzqoiIiIjkY8WKFRxwwAEsXryYO++8k+uvvz7dTSoyzz33HOeddx7uzr///W/69u2b7iaJFIqZTXf3tqnYVjI9sbUJqcM52gFjYh5PA3YryEbNrKKZnQHUAD5JsDyD0LO6kjAScm5OjrZ/jZktNrN5ZjbEzGrksU4GUAVYHjd/DzP7IUpLfsnM9kh+j0RERESkuMSnFX/55ZdpblHReO211+jZsyfuzl133aUAViRJyQSxS4A9AcxsB6A1MCVmeU1gQzIbM7MWZrY6Kv8YcIq7z45ZfkK0fD1wNdDZ3X/Oo8o9CKnHBwKnAZcTUoufzmOd24HVwBsx8z4FegLHAb0JozB/YmY75bEvfcwsy8yyli5dmsfmRERERGR7HXvssVx00UVs3LiRnj17lvq04jFjxnD66aeTnZ3NTTfdRP/+/dPdJJFSI5kg9l3gbjM7BvgXsAb4KGZ5S+C7JLf3DdAK+AvwKPCMmcWm8E6Klh9O6O0daWa75tN+B85y90+jtOPLgdMSXUtrZv2Ai4FT3X1lznx3f9fdR7r7LHefAJwQ1X1+bht296Hu3tbd29arVy+JXRcRERGR7XHfffeVidGKP/zwQ0455RQ2bdpEv379uO2229LdJJFSJZkg9hZCz+gE4EKgt7tvjFl+ITA+mY25+0Z3/87ds9x9ACFV+OqY5Wui5VPd/SJgE9ArjyqXAD+4+4qYeV9FfxvHFowC2NuB4939s3zauRqYC8QP/iQiIiIiaVIW0oo/++wzTjjhBNavX0+vXr24//77CUO2iEiy8g1i3f1Xdz8C2BHY0d1fiyvSAyjsz0cVgB22Y/nHQIO4a2D3if4uzJlhZtcA/yQMUDU5v0aZWRVgP0KQLCIiIiIlRGlOK541axZdu3Zl1apVnHnmmTz22GMKYEUKIZmeWADcfYW7ZyeY/1tcz2xCZnaXmXUwsybRtbF3Em5/87yZZZrZ7WZ2qJk1NrM2ZvYk4dY+I2PqGGFmI2KqfQFYBjxlZs3NrB3wIDDK3X+J1vk7cBehx/hbM6sfTbVi6r3XzI40s6ZmdigwCqgOPJPs8RERERGR1CiNacXffvstnTt3Zvny5Zx00kk888wzVKxYMd3NEimVkg5ii0B94DnCdbETgYOB49z9XWAz0Bx4DZgHvAnsBBzh7rH3fG1MTJpwlPbbCahFGKV4JPABIWDN0ReoTLhX7JKY6cGYMg0J95v9BvgPYeCpv7j7QkRERESkRCltacULFiygY8eO/PLLL3Tu3JmXXnqJypUrp7tZIqVWvveJlfzpPrEiIiIiqderVy+GDx/OwQcfzCeffEKlSpXS3aRt/Pjjj3To0IHvv/+e9u3bM2bMGKpXr57uZokUuZJ2n1gRERERkRKnpKcVL126lM6dO/P999/Tpk0b3nrrLQWwIkVAQayIiIiIlEolOa34999/59hjj+XLL7/kgAMOYOzYsdSqVSv/FUUkXwpiRURERKTUKomjFa9evZrjjz+eGTNmsNdeezF+/Hh22mmndDdLpMxQECsiIiIipVpsWvF9992X1rasX7+ek046iSlTptC4cWMmTpxI/fr109omkbJGQayIiIiIlGqxacW33HJL2tKKN23aRI8ePXjvvfeoX78+EyZMoHHjxvmvKCIFoiBWREREREq9dKcVZ2dnc8455/DWW29Rp04dxo8fz957753SNoiUFwpiRURERKRMSFda8ZYtW+jVqxcjR44kMzOTcePGccABB6Rs+yLljYJYERERESkT0pFW7O7069ePp59+mmrVqvH222/Tpk2bYt+uSHmmIFZEREREyoxUpxXfeOON/Pvf/yYjI4PRo0fTvn37Yt2eiCiIFREREZEyJlVpxXfccQd33nknFStW5JVXXqFTp07Fti0R+YOCWBEREREpU1KRVvzggw9y4403YmY8++yzdO/evci3ISKJKYgVERERkTKnONOKhw8fzlVXXQXAsGHDOPPMM4usbhHJn4JYERERESmTiiOt+MUXX6R3794APPDAA1x00UVFUq+IJE9BrIiIiIiUSUWdVvzGG29w7rnn4u7cfvvt9OvXryiaKSIFpCBWRERERMqs2LTiCy64oNBpxRMmTKBHjx5kZ2dz/fXXc8MNNxRxS0UkWQpiRURERKRMy0kr/uyzzwqVVjx58mROOukkNm7cyOWXX84dd9yBmRVDS0UkGQpiRURERKRM25604unTp9OtWzfWrl1Lz549efDBBxXAiqSZglgRERERKfMKk1Y8Z84cunTpwsqVK/nb3/7GE088QYUK+voskm56FYqIiIhIuVCQtOJ58+bRuXNnfvvtN0444QSeffZZKlasmKKWikheFMSKiIiISLlQq1Ythg0bBuSdVrxo0SI6derETz/9xDHHHMMrr7xCRkZGKpsqInlIWRBrZn3NbJaZrYymKWbWLWb5IDP72szWmNlyM5toZocnUW+Gmd1mZvPNbIOZLTKzK+PKnGZmX0bLvzSzUxLUc1lUx3ozm25mHYpmz0VERESkpOjatSsXXnhhrmnFS5YsoWPHjixatIjDDjuM0aNHU6VKlTS1VkQSSWVP7GKgP3AQ0BZ4D3jdzFpGy78B+gItgPbAfGCMme2ST70vAl2BPsC+QA9gVs5CMzsMeBl4HmgV/X3FzA6NKXM68CBwB9Aa+AR418waF353RURERKQkGjx4cMK04mXLltG5c2e+++47WrduzTvvvEONGjXS2FIRScTcPX0bN/sNGODujydYlgmsALq6+9hc1u8CvALs6e6/5lLmZaCOu3eOmTcBWOruZ0aPPwVmuXvvmDLzgFHuPiC//Wjbtq1nZWXlV0xERERESogxY8Zw3HHHkZGRwYwZM9htt93o2LEj06dPZ//99+eDDz6gXr166W6mSKlhZtPdvW0qtpWWa2LNrKKZnQHUIPR6xi/PIPSsrgRm5lHVycA04BozW2xm88xsiJnF/mR2GDAubr2xwOEx22qToMy4nDIiIiIiUrbEphX37NmTE044genTp7PHHnswYcIEBbAiJVilVG7MzFoAU4AqwGrgFHefHbP8BOAloBqwBOjs7j/nUeUehNTjDcBpQG3gIaAB8NeoTH0gvo6fo/kAdYGKuZTplMe+9CEE2jRurKxjERERkdJm8ODBjBs3jmnTpgHQsGFDJk6cSIMGDdLcMhHJS6p7Yr8hXJf6F+BR4BkzOyBm+aRo+eHAGGCkme2aR30VAAfOcvdPo7Tjy4HT4q6ljc+ZtgTzkinzR2H3oe7e1t3b6pc6ERERkdIndrTinXfemQkTJtCkSZP0NkpE8pXSnlh33wh8Fz3MMrODgauBi6Lla6Ll3wFTo+tSewGDcqlyCfCDu6+ImfdV9LcxoTf1J/7odc2xM3/0vP4KZOdTRkRERETKoK5du/LFF1/QoEED6tatm+7miEgS0n2f2ArADtux/GOgQdw1sPtEfxdGf6cAnfmzzkTX4kaB9fS8yoiIiIhI2dWyZUsFsCKlSMp6Ys3sLuBt4H9ATeAs4CigWzQS8XXAm4Te1XqE2+00BEbG1DECwN3Pi2a9ANwMPGVmAwnXxD5IGFX4l6jMg8CHZjYAeA04BTiacC1tjsHAs2b2GSEwvoRwXe1jRbX/IiIiIiIisv1SmU5cH3gu+ruCcC/X49x9rJlVA5oDFwI7AcsIow4f4e6zYur40whK7r7azDoRBnOaBiwHXgeujynzSTQS8u3AP4D/Aqe7+6cxZV42s52Am4BdgTnA8e6e05srIiIiIiIiJUBa7xNbVug+sSIiIiIiUp6V+fvEioiIiIiIiBSGglgREREREREpNRTEioiIiIiISKmhIFZERERERERKDQWxIiIiIiIiUmooiBUREREREZFSQ0GsiIiIiIiIlBoKYkVERERERKTUUBArIiIiIiIipYaCWBERERERESk1FMSKiIiIiIhIqaEgVkREREREREoNBbEiIiIiIiJSaiiIFRERERERkVJDQayIiIiIiIiUGgpiRUREREREpNRQECsiIiIiIiKlhoJYERERERERKTUUxIqIiIiIiEipoSBWRERERERESo2UBbFm1tfMZpnZymiaYmbdYpYPMrOvzWyNmS03s4lmdng+dR5lZp5g2i+mzPu5lJkbU2ZgguU/Fc+REBERERERkcKqlMJtLQb6A/MIwfP5wOtm1sbdZwHfAH2B+UBV4GpgjJnt7e4/51N3c+C3mMdLY/4/FciIebwDMBsYGVfHN8BRMY+zk9gnERERERERSaGUBbHuPjpu1o1mdilwGDDL3Z+LXWhm1wAXAa2AsflU/4u7/5rLdmODW8zsbKA68GRc0c3urt5XERERERGREiwt18SaWUUzOwOoAXySYHkG0AdYCcxMososM1sSpSAfnU/Z3sC77v6/uPl7mNkPZjbfzF4ysz2S2K6IiIiIiIikUCrTiTGzFsAUoAqwGjjF3WfHLD8BeAmoBiwBOueTSrwEuBSYRkgZPheYaGZHufuHCba/D3AkcHLcok+BnsDXwM7ATcAnZtbc3Zflsi99CIE2jRs3znO/RUREREREpGiYu6duY6GHtTFQGziN0Ct6lLvPiZZXB3YF6kbLOgKHufuSAmzjHUJqcPcEy+4BzgYau/vmPOqoAXwP3OXug/PbZtu2bT0rKyvZJoqIiIiIiJQpZjbd3dumYlspTSd2943u/p27Z7n7AEKq8NUxy9dEy6e6+0XAJqBXATfzKbB3/MwogD4feCqvADZqx2pgbqJ6REREREREJH3SfZ/YCoTRggu7PJFWhDTjeCcTeniH51eBmVUB9sulHhEREREREUmTlF0Ta2Z3AW8D/wNqAmcRbmnTzcwygeuANwmBYz3C7XYaEnMrHDMbAeDu50WPrwIWEHpNM4BzCMHqaQma0AeY6O7fJ2jbvdG2FxGuib2ZMILxM9uxyyIiIiIiIlLEUjmwU33guejvCmAWcJy7jzWzaoR7vV4I7AQsIwzWdER0D9kc8SMoZQD3ArsB6wjBbDd3fye2UDTS8DHAGbm0rSHwIqGndikwFfiLuy8s3K6KiIiIiIhIcUjpwE5llQZ2EhERERGR8qzMDuwkIiIiIiIisj0UxIqIiIiIiEipoSBWRERERERESo1UDuwkIiIiIiIixWnzZtiwAdavTzwVdll+y1NIQayIiIiIiEhRcP8j0CuuYDG/dbOz030Uip2CWBERERERKRs2b05dsJho+YYN6T4CYAZVq8IOO0CVKomnol62ww6w224p20UFsSIiIiIiUjy2bAnB3dq1uU9r1uS9PGdKJpAsCb2QGRmpCRxzW1apUghkyzAFsSIiIiIi5VF2duEDymTKrVkD69aldp8qVAi9kMXd65jbOhkZoQ1SrBTEioiIiIiUJO6wcWPRBZO5ldu4MTX7U7UqVKuWeKpePfdlsWXiA9PcAstKCm/KA51lEREREZFk5ZUeW5S9mKlIi61QoXABZX5lYstVqaKeSSlyCmJFREREpGzZvDkEiqtX/zHFPk60LK/AMnZZqtJjMzKKPqCMnzIyyvy1k1I2KYgVERERkfTIzv4jgCxIwJnfsuIeITZReuz2BpTxk9JiRXKlV4eIiIiI5G3LltALWZAAM5myxdWrWaEC1Kjxx1S9euL/cx7nzEsm8FR6rEjaKYgVERERKSvcQ2BYVD2asam2xcEs9wAzUbCZbGC6ww5KkxUpwxTEioiIiKSae0h5Laoezdj/3YunzdWqFTy4zC/YrFpVwaaIFJiCWBEREZG8JBokKFEwmd8UX37LluJpb5Uq2x9cxj+uVk0ptCJSYiiIFRERkbIhvnezsMFl/LR+ffG0NyOjeIJNDQgkImWc3uVEREQk9XJGpS1MUJlXMFoc99Y0+3OgmCh4zG9KFHxWrlz0bRURKQcUxIqIiEju3GHjxsIHlbktK65RaXfYoWiCTF23KSJSYimIFRERKSu2bMk7cCxsD2dx9W4mG2gWpJx6N0VEyryUBbFm1he4GGgSzZoL3O7ub0fLBwE9gEbARuBz4GZ3/ySPOo8CJiVYtL+7fx2V6Qk8laBMVXffepGLmV0G/B3YNWrbVe7+UdI7KCIikgz3cL/NnNuW5EyxtzIpyLLY5WvXFk+bc67d3N4gM7Z81aoaKEhERAollT2xi4H+wDygAnA+8LqZtXH3WcA3QF9gPlAVuBoYY2Z7u/vP+dTdHPgt5vHSuOVrgT1jZ8QFsKcDDwKXAZOjv++aWTN3X1SgvRQRkdIvt0CzKILN4go0cxTHtZsZGcXbZhERkQJIWRDr7qPjZt1oZpcChwGz3P252IVmdg1wEdAKGJtP9b+4+695b95/ymP5NcDT7j4senyFmXUFLgUG5LNtERFJh7wCze0NNtesKd62V60agsPYKSdgTDQlsyzn2k31boqISBmXlmtizawiIXW4BrBNurCZZQB9gJXAzCSqzDKzHYAvCSnK8SnGVc1sIVAxqu9md58Rs602wL1x64wDDk9yl0REJJH8As3tDTaLU6JAsygCTt1vU0REZLukNIg1sxbAFKAKsBo4xd1nxyw/AXgJqAYsATrnk0q8hNBbOg3IAM4FJprZUe7+YVTmG+BC4AugJtAP+NjMDnT3eUBdQnAbv52fgU557EsfQqBN48aN8995EZGSJueemuvW5T/l12uZW7C5dm3YTnGpUqVoejHjp2rVoGLF4mu3iIiIFJp5cX65iN9Y6PVsDNQGTgN6A0e5+5xoeXXCwEp1o2UdgcPcfUkBtvEOsNndu+eyPKc3dpK7X2lmDYAfgCNiB3Iys1uBM919v/y22bZtW8/Kykq2iSIiiW3ZAuvX/zl4XLs2uSAzmSm+rvXrizfAzJETaBZV2qwCTRERkRLHzKa7e9tUbCulPbHuvhH4LnqYZWYHEwZwuihaviZa/h0w1czmAb2AQQXYzKfAGXm0IdvMsoC9o1m/AtlA/biiO7Nt76yIlCebN29/oFiQacOG1O9j5cohbTbRVK3an/8vTMCpQFNERESKWLrvE1sB2GE7lifSipBmnJCZGdCSkF6Mu280s+lAZ+CVmKKdgVcLuG0RKS7usGlTanooc6bNm1O/n1Wq5B5U5jfFBp3JTgowRUREpJRJ5X1i7wLeBv5HuDb1LOAooJuZZQLXAW8SAtB6hNvtNARGxtQxAsDdz4seXwUsINzXNQM4BziZkKqcs86twFTCrX0ygSsJQeylMc0bDDxrZp8BHwOXAA2Ax4po90VKrpzgMGfauPHPj5NZtr3rbNyYXLC5ZUtqj41Z0QSKyQadO+ygAX9ERERE8pHKntj6wHPR3xXALOA4dx9rZtUI93q9ENgJWEYYrOmI6B6yOeJHUMogjCq8G7COEMx2c/d3YsrUBobGbHdGVO9nOQXc/WUz2wm4iXBN7hzgeHdfmNSeffcddO8eejRipwoVkptX2stWqBC+7Jc37pCdXXyBXarqy85O95FMXqVKqemdzJkyMsrnc1tERESkBEvpwE5lVVszL/fDOlWoULKD7s2biycYLCsqVQrXRuZMGRl/fpzf/MIui52fTNBZKd1XQIiIiIhIImV2YKcya6+94N57Q49WzrRly58f5zavLJR1D/O2bEnPNYTpVKFC0QZ8xRkk5rasUiX1NoqIiIhIqaEgtijUqgUnnZTuVqRPThBbkoPuihWLJ4DU9YsiIiIiIimlIFa2n9kfabsiIiIiIiLFSN1IIiIiIiIiUmooiBUREREREZFSQ0GsiIiIiIiIlBoKYkVERERERKTUUBArIiIiIiIipYaCWBERERERESk1FMSKiIiIiIhIqaEgVkREREREREoNBbEiIiIiIiJSaiiIFRERERERkVLD3D3dbSj1zGwV8E262yF5qgWsSHcjJFc6PyWfzlHJp3NUsun8lHw6RyWbzk/Jt6+710zFhiqlYiPlwDfu3jbdjZDcmdlQd++T7nZIYjo/JZ/OUcmnc1Sy6fyUfDpHJZvOT8lnZlmp2pbSiaW8eDPdDZA86fyUfDpHJZ/OUcmm81Py6RyVbDo/spXSiYuAmWWpJ1ZERERERMqrVMZE6oktGkPT3QAREREREZE0SllMpJ5YERERERERKTXUEysllpkdYWZvmNkPZuZm1jNBmX3M7D9m9ruZrTWzz81s/3zqbWxmb5rZGjP71cyGmFlGXJkWZvaBma2Ltn+LmVkR72Kpl985iuYlmh7Op16doyKQxPmpYWYPmdni6Dh+Y2ZXJ1Gvzk8RSeIc7WJmT5vZj9F73Bgz2zuJenWOioCZDTCzaWa20syWRsf0gLgyZmYDo3O0zszeN7PmSdStc1QEkjxHp5rZ2Gi5m9lRSdatc7Sd8js/ZlbZzP5lZrOi47zEzF4ws8ZJ1K3zU44piJWSrAYwB+gHrItfaGZNgY+B+cAxwAHATcDq3Co0s4rA20BNoANwJvBX4L6YMpnAeOBn4GDgSuDvwDVFsE9lTZ7nCNg1bjoxmj8ytwp1jopUfudnMNANOBfYH/gncJeZnZtbhTo/RS7XcxR90Xod2Bs4GWgNLAQmmFn13CrUOSpSRwGPAIcTPmc2E45/nZgy1wHXAlcQjuUvwHgzy/U2EzpHReoo8j9H1YFPKMCx0zkqMkeR9/mpBhxE+Pw5CDgJaASMMbNc76Ki8yO4e7mdgCOAN4AfAAd6xi1/OpofO01Not7GhBHU1gC/AkOAjLgyLYAPCF9afgBuIUrv1pTwmK5OcH5eAJ4vYD3HAVuARjHzzgHWA5nR40uBlUDVmDI3RedJ56gA5yhBmWGEW1LpHJWA80MInv4RN+8D4N86P+k/R8A+0efOgTHzKhCCpF46R2k5RzWAbODE6LEBS4AbY8pUBVYBF+scpf8cxS2rG72mjkqiHp2jFJ+fmDLNovPUQucnJedkADAtOlZLCTHMAXFlBgFfE2Kb5cBE4PAk6i62mKi898Tm10sBMIE/9yQdn1eF+mUoNcysAqFX78sovW5plK5yely5p81sQcysw4Cv3P1/MfPGAjsAbWLKfOTu6+LKNACaFO2elB9mVgM4gxDIxs7XOUqfycCJZtYIwMwOB1oBY3IK6Pyk1Q7R3/U5M9x9C7ABaJ8zT+copWoSfkhYHj1uCtQHxuUUiI7ph4SeJ0DnKMXiz1FSdI5SJpnzkxn93VpG56dYHUX+2QzfAH0JAWd7QhbkGDPbJbdKizsmKtdBrLu/4+43uPsowq85iWxw959ipt/yqbYL0Bw4190/d/fxhFSj3tGJAjibkD5xvrvPcfdXgX8B1yhPP2k7E36EuIHw5aEz8CLwvJmdEFNuCfDfmMf1CS+UWL8SfhWsn0eZn2OWSeGcRfhweSZuvs5R+lwJzAQWmdkmwi+h/d39rZgyOj/p8zUhffgOM6tjZhlm1h9oSPhRNYfOUeo8SHjNTIke5xyrRMcy9jjqHKVO/DlKls5RauR5fqJrWu8D3nT3xTGLdH6Kibsf6+5PRTHJbMIlRvWAdjFlnnP3ie7+vbvPJQSZNQk/fOemWGOiXHPNZav2ZvYL8DvhC96N7v5LzkIze5qQltIkmpXfL0OTyP2XoUGEX4bmF8eOlDE5P8CMdvfB0f8zzawt4ZeitwDcfUCCdXMbktvzKGO5zJfk9QZed/elsTN1jtLqCsKHVHdCsHQEcK+ZLXD3MaDzk07uvsnMTgOGA8sIX84mAO/GldM5SgEzG0zogWjv7tlxixMdy63zdI5SI59zlCedo+KX3/mJroF9DqhN+FzaSucnpfLsLY9+aOhDSD+eGTP/aVIYE5XrntgkjAHOAzoSBm04BHjPzHaIKaNfhtLjV0K6w5dx878i5N/n5ie2PcZ1gYr8cQ4Sldk5+ht/3iQJZtYKaEtcKnEudI5SwMyqAncC17n7m+4+y93/DbwE/F8eq+r8pJC7T3f3VoQvdbu6e1dgJ/L+sVPnqIiZ2f2EVLhj3P37mEU/RX8THcu8jqPOURHL4xwVls5REcrv/EQB7ItAS6Cjuy/Lp0qdn+KTsLfczE4ws9WES1yuBjq7e+xxTGlMpCA2D+7+kru/4e6z3f1NwkXk+xJG88wpM8DdO8avmluVeZTRL0MF4O4bCReh7xu3aB9Cj1JupgD7m1nDmHmdCdeYTY8p08HMqsSV+RFYsB3NLs/6EI7dhCTK6hylRuVoiv81PJu8Pxt0ftLA3Ve4+1ILt9dpC4zOo7jOUREyswcJl0Mc4+5fxy2eT/ii3DmmfBXC9V+f5FGtzlERyuccFZbOURHJ7/yYWWXgZUIAe7S7/xRfJgGdn2IQ01t+WoLe8kmE9OHDCR19I81s66UtKY+JCjuSVVmbSGJk1ajcfMI1Y7ktvw2YGzevXnQijo4ejwDejitzcFSmabqPRUmZCNe8toqmtYTRyloBjaPlJwMbCQHSXoR01U1At5g67gQmxjyuCMwG3iPcrqITYSS0h2LK1CJ8KXmJcNueUwkpE9em+5iUtCm/cxSVqQasIGb0zrg6dI7SdH6A9wmD2x1FGKCmJ2GQuyt0fkrMOeoBHA3sQbj1xALg1bg6dI6K7/w8HB2XYwi9AjlTjZgy/aMyp0bH8iXCl+SaOkcl5hzViV5XRxG+a/WKHtfXOUrv+SFc2vh6dGwPiisTO6qwzk/xn6v7Cb2p+yVZfh5wcx7LizUmSvsBKykTyd0epC4haDovjzI5Q343jJl3FomH/K4SU+YGNOR3/LHM+bCJn56OKdMT+JbwxXsWcGZcHU8DC+LmNSZcM7uWcJ3ZQ8AOcWVaEEaXXB+9oG/VuSn0ObqAkPrdIJc6dI7SdH4IXxKeit571hEGEvq/2OOo85P2c3Ql8D/CZ89CwnVC8bcn0DkqvvOT6Nw4MDCmjAEDo2O4njB+RvztKXSO0nuOeiZRRucoDeeHcN1jbmV66vyk7Dw9SEjj3b8A6/wXuD2P5cUaE1lUuFyKbvmxV/TwE+Auwn1jf4umgcCrhCd9E8KvQI0IJ3hVVMedwCEedZ9Hw0nPJNxn6VrCtUvPAP9x9yuiMrUIQ1W/D9xOSIF9mnC/xq3DTouIiIiIiBQXM3uYMCLxyfx5rJnV7r46Gkn4OsL9XpcQelP7EkYWPtjdZ0X1pDQmKu/XxLYFZkRTVeAf0f+3Ea4La0G47uhbwkH/BjgsJ4CN7ArsmfPAQ/54N8KvQh8Tcvz/Q8xAKe6+gpCT3wDIIqRa3AcMRkREREREJDUuI4xIPJEQpOZMObHLZsKtcl4jpBC/SQhIj8gJYCMpjYnKdU+siIiIiIiIlC7lvSdWREREREREShEFsSIiIiIiIlJqKIgVERERERGRUkNBrIiIiIiIiJQaCmJFRERERESk1FAQKyIiIiIiIqWGglgREREREREpNRTEioiIiIiISKmhIFZERERERERKjf8HVLgalPdLkK8AAAAASUVORK5CYII=\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "%%time\n", + "\n", + "omsa.set_criteria(criteria)\n", + "\n", + "model_url = 'https://thredds.cencoos.org/thredds/dodsC/CENCOOS_CA_ROMS_FCST.nc'\n", + "bbox = [-124.5, 40, -123.5, 42]\n", + "search = omsa.run(\n", + " loc_model=model_url,\n", + " approach='region',\n", + " bbox=bbox,\n", + " criteria=criteria,\n", + " horizontal_interp=False,\n", + " var_def=var_def,\n", + " xarray_kwargs={'chunks': {'time': 1, 'depth': 1}},\n", + " time_range=['2021-9-1','2021-9-8'], \n", + " variables=['salt'],\n", + " readers=[odg.erddap],\n", + " erddap={\n", + " 'known_server': 'ioos'\n", + " },\n", + " figname_map='nonlocal_library_region.png',\n", + " figname_data_prefix='nonlocal_library_region_'\n", + ")" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3 (ipykernel)", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.9.13" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/docs/index.rst b/docs/index.rst index ab6cb54..bd03781 100644 --- a/docs/index.rst +++ b/docs/index.rst @@ -9,6 +9,7 @@ Welcome to ocean-model-skill-assessor's documentation! .. toctree:: :maxdepth: 3 + Demo Demo_workflows api diff --git a/notebooks/Demo.ipynb b/notebooks/Demo.ipynb new file mode 100644 index 0000000..4b4dc51 --- /dev/null +++ b/notebooks/Demo.ipynb @@ -0,0 +1,219 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "id": "a9da2fa8-9a25-497e-8ec6-d08609ad38ca", + "metadata": {}, + "source": [ + "# Demonstration of `ocean-model-skill-assessor`\n", + "\n", + "Here we demonstrate how to use `ocean-model-skill-assessor` as a Python package." + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "id": "3b2011cd-01e0-454c-af6f-d968522f5385", + "metadata": {}, + "outputs": [], + "source": [ + "import xarray as xr\n", + "import ocean_data_gateway as odg\n", + "import cf_xarray\n", + "import pandas as pd\n", + "import extract_model as em\n", + "import ocean_model_skill_assessor as omsa\n", + "import numpy as np\n", + "from IPython import display\n", + "from glob import glob" + ] + }, + { + "cell_type": "markdown", + "id": "07a7bb3c-38d8-45a1-8444-ff0ea7aac52f", + "metadata": {}, + "source": [ + "## Definitions\n", + "\n", + "These dictionaries are not required for every type of run, but are required for identifying variables in both datasets and models, and for running QC. They can be complicated if desired, but do not have to be. Once they are written they do not need to be modified much. More information about these dictionaries is available in the [`ocean_data_gateway` docs](https://ocean-data-gateway.readthedocs.io/en/latest/details.html#Configure-custom-criteria-and-variable-definitions). We posted online pre-populated definitions to make this easy." + ] + }, + { + "cell_type": "markdown", + "id": "571d37a7-bd3c-4629-9931-e293bc609ce0", + "metadata": {}, + "source": [ + "Here are `criteria`, which map identifying features of different variables to a variable nickname we can generically refer to:" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "id": "ed628da3-09dd-4b3a-bfd0-cd52b154399b", + "metadata": {}, + "outputs": [], + "source": [ + "url = 'https://gist.githubusercontent.com/kthyng/c3cc27de6b4449e1776ce79215d5e732/raw/af448937e4896535e36ef6522df8460e8f928cd6/my_custom_criteria.py'\n", + "criteria = odg.return_response(url)\n", + "# criteria" + ] + }, + { + "cell_type": "markdown", + "id": "0b502c01-3e4a-4d22-916f-9579eb6193c0", + "metadata": {}, + "source": [ + "Here are `var_def` which give some rules for QC for different variables (referring to the variables by the same nicknames as in `criteria`):" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "id": "da532c82-28e2-4224-b4ce-8260cee9de57", + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "{'temp': {'units': 'degree_Celsius',\n", + " 'fail_span': [-100, 100],\n", + " 'suspect_span': [-10, 40]},\n", + " 'salt': {'units': 'psu', 'fail_span': [-10, 60], 'suspect_span': [-1, 45]},\n", + " 'u': {'units': 'm/s', 'fail_span': [-10, 10], 'suspect_span': [-5, 5]},\n", + " 'v': {'units': 'm/s', 'fail_span': [-10, 10], 'suspect_span': [-5, 5]},\n", + " 'ssh': {'units': 'm', 'fail_span': [-10, 10], 'suspect_span': [-3, 3]}}" + ] + }, + "execution_count": 3, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "url = 'https://gist.githubusercontent.com/kthyng/b8056748a811479460b6d5fc5cb5537b/raw/6b531cc5d3072ff6a4f5174f882d7d91d880cbf8/my_var_def.py'\n", + "var_def = odg.return_response(url)\n", + "var_def" + ] + }, + { + "cell_type": "markdown", + "id": "dd29ad0d-e2b7-4424-b1be-489b29e6b921", + "metadata": {}, + "source": [ + "## Search for Data over a Region\n", + "\n", + "This example demonstrates performing a search in time and space for data to compare with your model output. By default this would search in the spatial bounding box of the model output, but here we instead input a smaller bounding box so as to limit the number of datasets found and used. For several of the datasets, the model output isn't available (must be determined to be on land). " + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "id": "61d02b88-9bd5-44a2-9c65-54993e18fdf7", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "CPU times: user 18.4 s, sys: 3.39 s, total: 21.8 s\n", + "Wall time: 5min 7s\n" + ] + }, + { + "data": { + "image/png": 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\n", 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\n", 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\n", 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "%%time\n", + "\n", + "omsa.set_criteria(criteria)\n", + "\n", + "model_url = 'https://thredds.cencoos.org/thredds/dodsC/CENCOOS_CA_ROMS_FCST.nc'\n", + "bbox = [-124.5, 40, -123.5, 42]\n", + "search = omsa.run(\n", + " loc_model=model_url,\n", + " approach='region',\n", + " bbox=bbox,\n", + " criteria=criteria,\n", + " horizontal_interp=False,\n", + " var_def=var_def,\n", + " xarray_kwargs={'chunks': {'time': 1, 'depth': 1}},\n", + " time_range=['2021-9-1','2021-9-8'], \n", + " variables=['salt'],\n", + " readers=[odg.erddap],\n", + " erddap={\n", + " 'known_server': 'ioos'\n", + " },\n", + " figname_map='nonlocal_library_region.png',\n", + " figname_data_prefix='nonlocal_library_region_'\n", + ")" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3 (ipykernel)", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.9.13" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +} diff --git a/ocean_model_skill_assessor/main.py b/ocean_model_skill_assessor/main.py index f429856..76f60d5 100644 --- a/ocean_model_skill_assessor/main.py +++ b/ocean_model_skill_assessor/main.py @@ -203,6 +203,7 @@ def run( erddap=None, figname_map=None, figname_data_prefix="", + horizontal_interp=False, local=None, only_search=False, only_searchplot=False, @@ -238,6 +239,9 @@ def run( Figure name for map showing data locations. figname_data_prefix : str, optional Prefix for figures for dataset-model comparisons. + horizontal_interp : bool, optional + If True, use `em.select()` to interpolate to the data location horizontally. + If False, use `em.sel2d()` to use the nearest grid point to the data location. local : dict, optional Inputs for local reader. only_search : boolean, optional @@ -361,18 +365,39 @@ def run( continue for variable in variables: - kwargs = dict( - da=dsm.cf[variable] - .cf.isel(Z=0) - .cf.sel(lon=slice(lon - 5, lon + 5), lat=slice(lat - 5, lat + 5)), - longitude=lon, - latitude=lat, - T=T, - iZ=Z, - locstream=True, - ) - model_var = em.select(**kwargs).to_dataset() + if horizontal_interp: + kwargs = dict( + da=dsm.cf[variable] + .cf.isel(Z=0) + .cf.sel(lon=slice(lon - 5, lon + 5), lat=slice(lat - 5, lat + 5)), + longitude=lon, + latitude=lat, + T=T, + iZ=Z, + locstream=True, + ) + + model_var = em.select(**kwargs).to_dataset() + + else: + kwargs = dict( + longitude=lon, + latitude=lat, + # T=T, + Z=0, + method="nearest", + ) + if T is not None: + kwargs["T"] = T + + # xoak doesn't work for 1D lon/lat coords + if dsm.cf["longitude"].ndim == dsm.cf["latitude"].ndim == 1: + model_var = dsm.cf[variable].cf.sel(**kwargs).to_dataset() + + elif dsm.cf["longitude"].ndim == dsm.cf["latitude"].ndim == 2: + model_var = dsm.cf[variable].em.sel2dcf(**kwargs).to_dataset() + # Combine and align the two time series of variable df = omsa.stats._align(data.cf[variable], model_var.cf[variable]) stats = df.omsa.compute_stats From 3d9689b75ccbb3f6351d389122cb55f5abf6f541 Mon Sep 17 00:00:00 2001 From: Kristen Thyng Date: Fri, 5 Aug 2022 11:05:39 -0500 Subject: [PATCH 02/13] changed to using mamba Will hopefully fix Github Action build issue that is nondescriptive. --- .github/workflows/test.yaml | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/.github/workflows/test.yaml b/.github/workflows/test.yaml index 3b90703..bafc3a1 100644 --- a/.github/workflows/test.yaml +++ b/.github/workflows/test.yaml @@ -22,9 +22,9 @@ jobs: key: ${{ runner.os }}-conda-${{ env.CACHE_NUMBER }}-${{ hashFiles('ci/environment-py${{ matrix.python-version }}.yml') }} - uses: conda-incubator/setup-miniconda@v2 with: - # mamba-version: "*" # activate this to build with mamba. - # channels: conda-forge, defaults # These need to be specified to use mamba - # channel-priority: true + mamba-version: "*" # activate this to build with mamba. + channels: conda-forge, defaults # These need to be specified to use mamba + channel-priority: true environment-file: ci/environment-py${{ matrix.python-version }}.yml activate-environment: test_env_model_assessor From 2d904cf354e9afadd4dd7cc01bbb069f081235ae Mon Sep 17 00:00:00 2001 From: Kristen Thyng Date: Fri, 5 Aug 2022 11:20:12 -0500 Subject: [PATCH 03/13] expanding CI for windows and python3.9 --- .github/workflows/test.yaml | 4 ++-- ci/environment-py3.7.yml | 4 ++-- ci/environment-py3.8.yml | 4 ++-- ci/environment-py3.9.yml | 21 +++++++++++++++++++++ 4 files changed, 27 insertions(+), 6 deletions(-) create mode 100644 ci/environment-py3.9.yml diff --git a/.github/workflows/test.yaml b/.github/workflows/test.yaml index bafc3a1..d262ce1 100644 --- a/.github/workflows/test.yaml +++ b/.github/workflows/test.yaml @@ -8,8 +8,8 @@ jobs: strategy: fail-fast: false matrix: - os: ["ubuntu-latest"] - python-version: ["3.7", "3.8"] + os: ["macos-latest", "ubuntu-latest", "windows-latest"] + python-version: ["3.7", "3.8", "3.9"] steps: - uses: actions/checkout@v2 - name: Cache conda diff --git a/ci/environment-py3.7.yml b/ci/environment-py3.7.yml index 6dd8401..ee5d29e 100644 --- a/ci/environment-py3.7.yml +++ b/ci/environment-py3.7.yml @@ -4,10 +4,10 @@ channels: dependencies: - python=3.7 ############## These will have to be adjusted to your specific project - - cartopy + # - cartopy - cf_xarray - extract_model - - matplotlib + # - matplotlib - numpy - ocean_data_gateway - pandas diff --git a/ci/environment-py3.8.yml b/ci/environment-py3.8.yml index 710f6ee..900aa23 100644 --- a/ci/environment-py3.8.yml +++ b/ci/environment-py3.8.yml @@ -4,10 +4,10 @@ channels: dependencies: - python=3.8 ############## These will have to be adjusted to your specific project - - cartopy + # - cartopy - cf_xarray - extract_model - - matplotlib + # - matplotlib - numpy - ocean_data_gateway - pandas diff --git a/ci/environment-py3.9.yml b/ci/environment-py3.9.yml new file mode 100644 index 0000000..3a5c049 --- /dev/null +++ b/ci/environment-py3.9.yml @@ -0,0 +1,21 @@ +name: test_env_model_assessor +channels: + - conda-forge +dependencies: + - python=3.9 + ############## These will have to be adjusted to your specific project + # - cartopy + - cf_xarray + - extract_model + # - matplotlib + - numpy + - ocean_data_gateway + - pandas + - scipy + - xarray + ############## + - pytest + - pip: + - codecov + - pytest-cov + - coverage[toml] From 0104ccf57ba5d156d673779c805fb54169fcfe62 Mon Sep 17 00:00:00 2001 From: Kristen Thyng Date: Fri, 5 Aug 2022 13:39:26 -0500 Subject: [PATCH 04/13] added packages back bc need them --- ci/environment-py3.7.yml | 4 ++-- ci/environment-py3.8.yml | 4 ++-- ci/environment-py3.9.yml | 4 ++-- 3 files changed, 6 insertions(+), 6 deletions(-) diff --git a/ci/environment-py3.7.yml b/ci/environment-py3.7.yml index ee5d29e..4bd5805 100644 --- a/ci/environment-py3.7.yml +++ b/ci/environment-py3.7.yml @@ -4,10 +4,10 @@ channels: dependencies: - python=3.7 ############## These will have to be adjusted to your specific project - # - cartopy + - cartopy - cf_xarray - extract_model - # - matplotlib + - matplotlib-base - numpy - ocean_data_gateway - pandas diff --git a/ci/environment-py3.8.yml b/ci/environment-py3.8.yml index 900aa23..d859daf 100644 --- a/ci/environment-py3.8.yml +++ b/ci/environment-py3.8.yml @@ -4,10 +4,10 @@ channels: dependencies: - python=3.8 ############## These will have to be adjusted to your specific project - # - cartopy + - cartopy - cf_xarray - extract_model - # - matplotlib + - matplotlib-base - numpy - ocean_data_gateway - pandas diff --git a/ci/environment-py3.9.yml b/ci/environment-py3.9.yml index 3a5c049..2fc0797 100644 --- a/ci/environment-py3.9.yml +++ b/ci/environment-py3.9.yml @@ -4,10 +4,10 @@ channels: dependencies: - python=3.9 ############## These will have to be adjusted to your specific project - # - cartopy + - cartopy - cf_xarray - extract_model - # - matplotlib + - matplotlib-base - numpy - ocean_data_gateway - pandas From cd10d00577538060491e05ec5194e90e63acc8bc Mon Sep 17 00:00:00 2001 From: Kristen Thyng Date: Fri, 5 Aug 2022 14:16:31 -0500 Subject: [PATCH 05/13] dtype OS issue dtypes behave differently on diff OSes and needed to be more specific with dtype in a test. --- tests/test_stats.py | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/tests/test_stats.py b/tests/test_stats.py index 169bf1d..a5b50da 100644 --- a/tests/test_stats.py +++ b/tests/test_stats.py @@ -8,10 +8,10 @@ class TestStats: ref_times = pd.date_range(start="2000-12-30", end="2001-01-03", freq="6H") - obs = pd.DataFrame({"obs": np.sin(ref_times.view(int))}, index=ref_times) + obs = pd.DataFrame({"obs": np.sin(ref_times.view('int64'))}, index=ref_times) model_times = pd.date_range(start="2000-12-28", end="2001-01-04", freq="D") - data = 1.25 * np.sin(model_times.view(int) + 2) + data = 1.25 * np.sin(model_times.view('int64') + 2) model = pd.DataFrame({"model": data}, index=model_times) aligned_signals = stats._align(obs, model) From 1085d4b4e6b23f39b77d83cde8834e0385219202 Mon Sep 17 00:00:00 2001 From: Kristen Thyng Date: Fri, 5 Aug 2022 14:31:08 -0500 Subject: [PATCH 06/13] still had error with Windows trying with ref_times.astype(int32) --- tests/test_stats.py | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/tests/test_stats.py b/tests/test_stats.py index a5b50da..f1cbae1 100644 --- a/tests/test_stats.py +++ b/tests/test_stats.py @@ -8,10 +8,10 @@ class TestStats: ref_times = pd.date_range(start="2000-12-30", end="2001-01-03", freq="6H") - obs = pd.DataFrame({"obs": np.sin(ref_times.view('int64'))}, index=ref_times) + obs = pd.DataFrame({"obs": np.sin(ref_times.astype('int32'))}, index=ref_times) model_times = pd.date_range(start="2000-12-28", end="2001-01-04", freq="D") - data = 1.25 * np.sin(model_times.view('int64') + 2) + data = 1.25 * np.sin(model_times.astype('int32') + 2) model = pd.DataFrame({"model": data}, index=model_times) aligned_signals = stats._align(obs, model) From d254e09221b5a3abaffbec0fbab160e41b813158 Mon Sep 17 00:00:00 2001 From: Kristen Thyng Date: Fri, 5 Aug 2022 14:53:28 -0500 Subject: [PATCH 07/13] another attempt now with `ref_times.values.astype(float32)` --- tests/test_stats.py | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/tests/test_stats.py b/tests/test_stats.py index f1cbae1..9e4cd3c 100644 --- a/tests/test_stats.py +++ b/tests/test_stats.py @@ -8,10 +8,10 @@ class TestStats: ref_times = pd.date_range(start="2000-12-30", end="2001-01-03", freq="6H") - obs = pd.DataFrame({"obs": np.sin(ref_times.astype('int32'))}, index=ref_times) + obs = pd.DataFrame({"obs": np.sin(ref_times.values.astype('float32'))}, index=ref_times) model_times = pd.date_range(start="2000-12-28", end="2001-01-04", freq="D") - data = 1.25 * np.sin(model_times.astype('int32') + 2) + data = 1.25 * np.sin(model_times.values.astype('float32') + 2) model = pd.DataFrame({"model": data}, index=model_times) aligned_signals = stats._align(obs, model) From 559246ee09f51ad503c3cab3fcf61cd17f51dff8 Mon Sep 17 00:00:00 2001 From: Kristen Thyng Date: Fri, 5 Aug 2022 16:16:57 -0500 Subject: [PATCH 08/13] now updated values in tests accordingly --- tests/test_stats.py | 28 ++++++++++++++-------------- 1 file changed, 14 insertions(+), 14 deletions(-) diff --git a/tests/test_stats.py b/tests/test_stats.py index 9e4cd3c..5c41fb6 100644 --- a/tests/test_stats.py +++ b/tests/test_stats.py @@ -23,20 +23,20 @@ def test_align(self): assert isinstance(self.aligned_signals, pd.DataFrame) assert self.aligned_signals.shape == (5, 2) - assert np.isclose(self.aligned_signals["model"].mean(), 0.16391766802943322) - assert np.isclose(self.aligned_signals["obs"].mean(), 0.13113413442354657) + assert np.isclose(self.aligned_signals["model"].mean(), -0.35140932) + assert np.isclose(self.aligned_signals["obs"].mean(), -0.28112745) def test_align_xr(self): assert isinstance(self.aligned_signals_xr, pd.DataFrame) assert self.aligned_signals_xr.shape == (5, 2) - assert np.isclose(self.aligned_signals_xr["model"].mean(), 0.16391766802943322) - assert np.isclose(self.aligned_signals_xr["obs"].mean(), 0.13113413442354657) + assert np.isclose(self.aligned_signals_xr["model"].mean(), -0.35140932) + assert np.isclose(self.aligned_signals_xr["obs"].mean(), -0.28112745) def test_bias(self): bias = stats.compute_bias(self.obs, self.model) - assert np.isclose(bias, 0.032783533605886636) + assert np.isclose(bias, -0.07028185) def test_correlation_coefficient(self): corr_coef = stats.compute_correlation_coefficient(self.obs, self.model) @@ -46,35 +46,35 @@ def test_correlation_coefficient(self): def test_index_of_agreement(self): ioa = stats.compute_index_of_agreement(self.obs, self.model) - assert np.isclose(ioa, 0.9872247131609245) + assert np.isclose(ioa, 0.9845252502709627) def test_mean_square_error(self): mse = stats.compute_mean_square_error(self.obs, self.model, centered=False) - assert np.isclose(mse, 0.03156566684130121) + assert np.isclose(mse, 0.024080737) def test_mean_square_error_centered(self): mse = stats.compute_mean_square_error(self.obs, self.model, centered=True) - assert np.isclose(mse, 0.03049090676561291) + assert np.isclose(mse, 0.019141199) def test_murphy_skill_score(self): mss = stats.compute_murphy_skill_score(self.obs, self.model) - assert np.isclose(mss, 0.935296965985732) + assert np.isclose(mss, 0.9213713780045509) def test_root_mean_square_error(self): rmse = stats.compute_root_mean_square_error(self.obs, self.model) - assert np.isclose(rmse, 0.17766729254790034) + assert np.isclose(rmse, 0.1551797) def test_descriptive_statistics(self): max, min, mean, std = stats.compute_descriptive_statistics(self.model, ddof=0) - assert np.isclose(max, 0.97866) - assert np.isclose(min, -0.906447) - assert np.isclose(mean, 0.039614) - assert np.isclose(std, 0.863681) + assert np.isclose(max, 0.882148) + assert np.isclose(min, -1.247736) + assert np.isclose(mean, -0.301843) + assert np.isclose(std, 0.757591) def test_stats(self): stats_output = stats.compute_stats(self.obs, self.model) From e3b9ca802e046f85a9c48767257bf869c8fd7095 Mon Sep 17 00:00:00 2001 From: Kristen Thyng Date: Fri, 5 Aug 2022 16:37:37 -0500 Subject: [PATCH 09/13] found another of the problems --- tests/test_plot.py | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/tests/test_plot.py b/tests/test_plot.py index 5034a94..6018e63 100644 --- a/tests/test_plot.py +++ b/tests/test_plot.py @@ -7,12 +7,12 @@ def test_time_series(): ref_times = pd.date_range(start="2000-12-30", end="2001-01-03", freq="6H") reference = pd.DataFrame( - {"reference": np.sin(ref_times.view(int))}, index=ref_times + {"reference": np.sin(ref_times.values.astype('float32'))}, index=ref_times ) sample_times = pd.date_range(start="2000-12-28", end="2001-01-04", freq="D") sample = pd.DataFrame( - {"FAKE_SAMPLES": np.sin(sample_times.view(int))}, index=sample_times + {"FAKE_SAMPLES": np.sin(sample_times.values.astype('float32'))}, index=sample_times ) time_series.plot(reference, sample, "test") From 564d2f4f88a0cce6ad5185954dc5e8df230eafee Mon Sep 17 00:00:00 2001 From: Kristen Thyng Date: Fri, 5 Aug 2022 22:05:59 -0500 Subject: [PATCH 10/13] precommit --- tests/test_plot.py | 5 +++-- tests/test_stats.py | 6 ++++-- 2 files changed, 7 insertions(+), 4 deletions(-) diff --git a/tests/test_plot.py b/tests/test_plot.py index 6018e63..2f41f46 100644 --- a/tests/test_plot.py +++ b/tests/test_plot.py @@ -7,12 +7,13 @@ def test_time_series(): ref_times = pd.date_range(start="2000-12-30", end="2001-01-03", freq="6H") reference = pd.DataFrame( - {"reference": np.sin(ref_times.values.astype('float32'))}, index=ref_times + {"reference": np.sin(ref_times.values.astype("float32"))}, index=ref_times ) sample_times = pd.date_range(start="2000-12-28", end="2001-01-04", freq="D") sample = pd.DataFrame( - {"FAKE_SAMPLES": np.sin(sample_times.values.astype('float32'))}, index=sample_times + {"FAKE_SAMPLES": np.sin(sample_times.values.astype("float32"))}, + index=sample_times, ) time_series.plot(reference, sample, "test") diff --git a/tests/test_stats.py b/tests/test_stats.py index 5c41fb6..2cc2e51 100644 --- a/tests/test_stats.py +++ b/tests/test_stats.py @@ -8,10 +8,12 @@ class TestStats: ref_times = pd.date_range(start="2000-12-30", end="2001-01-03", freq="6H") - obs = pd.DataFrame({"obs": np.sin(ref_times.values.astype('float32'))}, index=ref_times) + obs = pd.DataFrame( + {"obs": np.sin(ref_times.values.astype("float32"))}, index=ref_times + ) model_times = pd.date_range(start="2000-12-28", end="2001-01-04", freq="D") - data = 1.25 * np.sin(model_times.values.astype('float32') + 2) + data = 1.25 * np.sin(model_times.values.astype("float32") + 2) model = pd.DataFrame({"model": data}, index=model_times) aligned_signals = stats._align(obs, model) From f5bfa895a5373e5516234c5c6c81975aa54dc25e Mon Sep 17 00:00:00 2001 From: Kristen Thyng Date: Mon, 8 Aug 2022 14:44:12 -0500 Subject: [PATCH 11/13] pinned a version of black --- .pre-commit-config.yaml | 2 +- ocean_model_skill_assessor/stats.py | 2 +- 2 files changed, 2 insertions(+), 2 deletions(-) diff --git a/.pre-commit-config.yaml b/.pre-commit-config.yaml index f91a66f..a041e3e 100644 --- a/.pre-commit-config.yaml +++ b/.pre-commit-config.yaml @@ -41,7 +41,7 @@ repos: - id: seed-isort-config - repo: https://github.com/psf/black - rev: stable + rev: 22.3.0 # https://github.com/psf/black/issues/2964 hooks: - id: black language_version: python3 diff --git a/ocean_model_skill_assessor/stats.py b/ocean_model_skill_assessor/stats.py index c55309f..7caa29a 100644 --- a/ocean_model_skill_assessor/stats.py +++ b/ocean_model_skill_assessor/stats.py @@ -115,7 +115,7 @@ def compute_mean_square_error( error = obs - model if centered: error += -obs.mean() + model.mean() - return (error ** 2).mean() + return (error**2).mean() def compute_murphy_skill_score( From d9a8d7760e249d96f7f1a40f3aee46d87c63d44b Mon Sep 17 00:00:00 2001 From: Kristen Thyng Date: Mon, 8 Aug 2022 15:06:08 -0500 Subject: [PATCH 12/13] fixes for docs removed jupyter from docs requirements and changed to mamba setup; --- .readthedocs.yml | 12 ++++++++++++ docs/environment.yml | 2 +- readthedocs.yml | 9 --------- 3 files changed, 13 insertions(+), 10 deletions(-) create mode 100644 .readthedocs.yml delete mode 100644 readthedocs.yml diff --git a/.readthedocs.yml b/.readthedocs.yml new file mode 100644 index 0000000..51fbc26 --- /dev/null +++ b/.readthedocs.yml @@ -0,0 +1,12 @@ +version: 2 + +build: + os: "ubuntu-20.04" + tools: + python: "mambaforge-4.10" + +conda: + environment: docs/environment.yml + +sphinx: + configuration: docs/conf.py diff --git a/docs/environment.yml b/docs/environment.yml index dcf24b2..433d706 100644 --- a/docs/environment.yml +++ b/docs/environment.yml @@ -8,7 +8,7 @@ dependencies: # - cartopy # - matplotlib # - ipython - - jupyter + # - jupyter # - jupyterlab - ocean_model_skill_assessor # - xarray diff --git a/readthedocs.yml b/readthedocs.yml deleted file mode 100644 index dd5bd02..0000000 --- a/readthedocs.yml +++ /dev/null @@ -1,9 +0,0 @@ -conda: - file: docs/environment.yml -python: - version: 3.8 - install: - - method: setuptools - path: package -sphinx: - fail_on_warning: true From 5968baae525366c9efc8236f16cf7ebfe05dae2d Mon Sep 17 00:00:00 2001 From: Kristen Thyng Date: Mon, 8 Aug 2022 15:15:08 -0500 Subject: [PATCH 13/13] removed sphinx pin to 4.0.2 --- docs/environment.yml | 3 +-- 1 file changed, 1 insertion(+), 2 deletions(-) diff --git a/docs/environment.yml b/docs/environment.yml index 433d706..7f4f532 100644 --- a/docs/environment.yml +++ b/docs/environment.yml @@ -14,8 +14,7 @@ dependencies: # - xarray # These are needed for the docs themselves - numpydoc - # https://stackoverflow.com/questions/68642540/nbsphinx-causes-build-to-fail-when-building-jupyter-notebooks - - sphinx==4.0.2 + - sphinx - sphinx_rtd_theme - ipython - nbconvert