{ "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "## Linking a dataset of real historical persons \n", "\n", "In this example, we deduplicate a more realistic dataset. The data is based on historical persons scraped from wikidata. Duplicate records are introduced with a variety of errors introduced." ] }, { "cell_type": "code", "execution_count": 1, "metadata": {}, "outputs": [], "source": [ "from splink.duckdb.duckdb_linker import DuckDBLinker\n", "import altair as alt\n", "alt.renderers.enable('mimetype')\n", "\n", "import pandas as pd \n", "pd.options.display.max_rows = 1000\n", "df = pd.read_parquet(\"./data/historical_figures_with_errors_50k.parquet\")" ] }, { "cell_type": "code", "execution_count": 2, "metadata": {}, "outputs": [ { "data": { "application/vnd.vegalite.v4+json": { "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json", "config": { "view": { "continuousHeight": 300, "continuousWidth": 400 } }, "vconcat": [ { "hconcat": [ { "data": { "values": [ { "distinct_value_count": 4413, "group_name": "first_name", "percentile_ex_nulls": 0.9449625015258789, "percentile_inc_nulls": 0.9450353980064392, "sum_tokens_in_value_count_group": 2780, "total_non_null_rows": 50511, "total_rows_inc_nulls": 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", "text/plain": [ "\n", "\n", "If you see this message, it means the renderer has not been properly enabled\n", "for the frontend that you are using. For more information, see\n", "https://altair-viz.github.io/user_guide/troubleshooting.html\n" ] }, "execution_count": 2, "metadata": {}, "output_type": "execute_result" } ], "source": [ "# Simple settings dictionary will be used for exploratory analysis\n", "settings = {\n", " \"link_type\": \"dedupe_only\",\n", " \"blocking_rules_to_generate_predictions\": [\n", " \"l.first_name = r.first_name and l.surname = r.surname\",\n", " \"l.surname = r.surname and l.dob = r.dob\",\n", " \"l.first_name = r.first_name and l.dob = r.dob\",\n", " \"l.postcode_fake = r.postcode_fake and l.first_name = r.first_name\",\n", " ],\n", "}\n", "linker = DuckDBLinker(df, settings)\n", "\n", "linker.profile_columns(\n", " [\"first_name\", \"postcode_fake\", \"substr(dob, 1,4)\"], top_n=10, bottom_n=5\n", ")" ] }, { "cell_type": "code", "execution_count": 3, "metadata": {}, "outputs": [ { "data": { "application/vnd.vegalite.v4+json": { "$schema": "https://vega.github.io/schema/vega-lite/v5.json", "config": { "header": { "title": null }, "mark": { "tooltip": null }, "title": { "anchor": "middle" }, "view": { "height": 200, "width": 450 } }, "data": { "values": [ { "cartesian": 1279041753, "cumulative_rows": 243656, "reduction_ratio": "The rolling reduction ratio with your given blocking rule(s) is 1.0. \nThis represents the reduction in the total number of comparisons due to your rule(s).", "row_count": 243656, "rule": "l.first_name = r.first_name and l.surname = r.surname", "start": 0 }, { "cartesian": 1279041753, "cumulative_rows": 268697, "reduction_ratio": "The rolling reduction ratio with your given blocking rule(s) is 1.0. \nThis represents the reduction in the total number of comparisons due to your rule(s).", "row_count": 25041, "rule": "l.surname = r.surname and l.dob = r.dob", "start": 243656 }, { "cartesian": 1279041753, "cumulative_rows": 298602, "reduction_ratio": "The rolling reduction ratio with your given blocking rule(s) is 1.0. \nThis represents the reduction in the total number of comparisons due to your rule(s).", "row_count": 29905, "rule": "l.first_name = r.first_name and l.dob = r.dob", "start": 268697 }, { "cartesian": 1279041753, "cumulative_rows": 307023, "reduction_ratio": "The rolling reduction ratio with your given blocking rule(s) is 1.0. \nThis represents the reduction in the total number of comparisons due to your rule(s).", "row_count": 8421, "rule": "l.postcode_fake = r.postcode_fake and l.first_name = r.first_name", "start": 298602 } ] }, "encoding": { "color": { "field": "rule", "legend": null, "scale": { "scheme": "category20c" } }, "order": { "field": "cumulative_rows" }, "tooltip": [ { "field": "rule", "title": "SQL Condition", "type": "nominal" }, { "field": "row_count", "format": ",", "title": "Comparisons Generated", "type": "quantitative" }, { "field": "cumulative_rows", "format": ",", "title": "Cumulative Comparisons", "type": "quantitative" }, { "field": "cartesian", "format": ",", "title": "Cartesian Product of Input Data", "type": "quantitative" }, { "field": "reduction_ratio", "title": "Reduction Ratio (cumulative rows/cartesian product)", "type": "ordinal" } ], "x": { "field": "start", "title": "Comparisons Generated by Rule(s)", "type": "quantitative" }, "x2": { "field": "cumulative_rows" }, "y": { "field": "rule", "sort": "-x2", "title": "SQL Blocking Rule" } }, "mark": "bar", "title": { "subtitle": "(Counts exclude comparisons already generated by previous rules)", "text": "Count of Additional Comparisons Generated by Each Blocking Rule" } }, "image/png": 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5DhEsAC7NNxlw6+XNIJtMPooMaPPMeBszIFMngBJ7Edmh7QAEQETEHZ8mP36fVR+eG7ShXkS0559/ftdutmf4n/Mce9Cnbj4qxXYI4BYbEJlMA0ogqF7dmDDwLBDVBaj8RKIeUPI7IlPUz78UR/nAJPbBl/BjgCq5ZJzUtZE9lExgyIMJCP7Nvm9sB1AC9NjGL3EDRFzHpBfb1D5rjQBl7R5K6k753o+SQMmzWc8HuYeo4R133OH2gDMZ4FlkIuaXvAF37EqUHj8CzphcpAFlVj/r90n7vausLFBe3pJ3cg8l+9uJTnsfYzJQr+9PAiWrQeyjZkJKez2MMxlhxSsZ8W+JMU5A2RIqKg8pEKAA8OA3bPuXWvzeOjoOlrfYB8mMlgRUEvFjSYgEzDAwMsBwPxvJgUxSo0DJyy90yMAdHRRLRMnEkh5LNOTPnjagicGCjpXIBvWrB5Qsx9JBE42kQyMRjWAgY0AmokSn5o/84EUlBgfyJjFwsiRb7/e1QAlAMFgxCBMJAqKS+/4Y4Fn2od7AHEtcDHS1+7p85CcJlESNecGDqAhROKIF1NUvMddb8gYeGXw9iLP0zIABpKAHbQWw69mbyFsRoGRQpN3Yk/KAPSCHpXtsC+yyHO/f2kVzdKSNWUDJEinHMtEeJjTUG53Jn3oyONfzHeA0C+CYKNXLG39NpuQ+XNqDttjFa+1BAJ35GVrwjPgXWwB8onT1gNLDKeBI/uw9IyrHSx1+C0QSKNGOiRBasyeO/Wr4vF9a9lsgeNYpl2clq25Ep7iPtjERZcnU75+tt+RNG3kOsCtlowkvzZAACfb/kmpXSby2SaDEx2ujtNSLJW58Fz3wGyCHxKSX6DnakOgDgEwAz69OFAFKNPD9AZNuHxlFOyA5CZT4dT0fBCTpP9GJ64BGJlr0S6xO+D2U/JxJB5qzX5J+KgQofXSVugN1+AwpBCjZlwxM+yi436qT1fcn+yIi+H6s4blnosHzTd+PD/iX2AKGr7qXCihbSknlIwUCFAAIWQpOLhcxWLHs6ZdhGejo7PyLKnQgDP5sNgcw2avml9WIEBDpqgVK9u/wUgh50OH6jowBg8EWiGOwZfkqmYg8AWXJvVV0QgxoDOos4QBmyZds/P1EJ4jCkdibSFTCJx9RYrDlpY7kCyDky4s4dHR+iane7z1Q+igte9eoD2BDm8kP0PG/JwoM3LK3yid0ox7s76wd5IAO9nliE6DeRz2410MaejJBABrqnUNJR85glCwb3bGZ35tVz97APHDiwcVPCPySN8vI5FO7h5I6M5iT2O+K/Rjo2VN6wgknNP2cSQq+yJ5CQBzITgNKryUDJaCV9F8mJkTn8nzHv5ST5Zv18k57xPBh7MjfPjEZYCkX3dkCwASIazxIYTe0R8+8+gBLRJr8hI4yfMSRfYgsWSeB0p9YAKCQeM6512+PICLKz0gABsCSVTf2tOJr2I1EOR5Kss6hpG0stfrJGeCK1h4e8Hf/MiDPKm/+1qa8cyh5yYboF88zfQvPOBMB+iMfDfV7mn3e9FdM6NKeNQ/hfs9vsj5Zeyjpv4BtVg5ISaDkWa7XfxGd5plO2pTnAb9BN2zKKQf4CM8le4x9dN+/PMd2Bf9STpYvM5nkmeFZIpEn+medFepfykkeP+brw/3sgWSlqF7fX3sOJRN7tvz47S302/gTf7d0ElC2tKLKTwoEKECHzmBOBMwvQyZvp0Mi6kOEgJlmbaQASCIVOQydAYn7ebGBzjgtMaBRPqDnITGgeQ1d6r8WREedNmPO+32tXkS52EaQ9SUaOmUiU2jO/sWQRKQCrbL0ysuLtgAaTBqIHtS2N8/eefn73/s9lERyAEjsWGs/bM/EpDl2ZWJBndmuUatJc32nXt5pOgCP7PcjWpV2JAr+jv2oF/s8Q49NwW94XvHTvK8cURbPDbqkLSuiO9sL2NfM7/PqRh/BNf4Fnkb8AD38+YxpgJaE4EbyS7uGiSlRYvRM+6ILbcTf+biBj1gWLavIfXk+yNYHtKX+/qXBIuVk3QMYog8vcwH5REaJSLM9gEhjc1JI3+/7FWCUfif06zuN1lNA2ahSuk4KSAEp0EYUSAJl2Q9NbyOSVqKaPhJIY/z+wUo0rKSNYL8wqwSk5LFB/qiykla7cLUElIWl041SQApIgXIqwNIdWwBYkvOfvixnTVWrmArw4hfbI9g/WPs2dcx6jE9l8YIiW0nQnVUmopPsP61iElBW0apqkxSQAlJACkgBKSAFIiogoIwotoqSAlJACkgBKSAFpEAVFRBQVtGqapMUyFGAtxx5MSD5Mg8b2PmiDi8HjYsN9GU2GpvaQ1/iKHN7xue6jc+2pO28CJb2MljyjMXx2T9as+1885wPDHAWahWTgLKKVlWbpECOAhxHxF4ejsPgbUGO8Ul+Z5rjaDgItzlvAGdVgWMwOFqm3reXW8uAnKfJkRv+SyKNlsMbzJxRx3mSVUi8LMDXXEJ1aO22F7VPo/XiKCGOt6k9cqfR+8tyHceHcUwUbyeHJI6U4YUtvk2eTOTDmYscu1W2xDFEHM3lz0od1/XjeCFOIPDfLg+pD21gLyXHDFUxCSiraFW1SQrUUYBBm3P16Ng4PoJv8fI5Qg765kgUzuxjwz7Qx9chWjpxViHRUQ64jp2AQkA67bNn9epSNaBkEoGds74lH9suvryi9mm0vlUBSiY2nMHI2bUhqS0CJeddcuajP/g/pL2tcS2Hs3OY+tChQ4OzJ0LMuaNM3jn8vWpJQFk1i6o9UiBHAb7UQSSCQ7/5YgsHXvtvPvtb/RvCHOzNIcd80YMvNrAcztEjfNuaM+b4RCM/J5LJAdDky0G6DALMwjl7jcgHB/kCkJzj57+cw+HaHKDN4eVEQ1lyB3T5ee05aZypx/d3+doGgyn39OrVy32dg8PT6dyJOvHVoMUWW8z9nLcryYtzKRlI+Q46B1t7oOTAaH7Op9BIHNLMnz59+rhDsSmPcwt5I5PDiTnMmbI5KBsoBsiI5HKAM+d01qa08vk0IJ/R4y1s6o1efLmCg6F5I5uDwjlLkU8i8p1kDlimDSS+jUzdiSxSD/LhnEnqSX5oxoHwRFAAMw5+Rl++sMFB6AyEfC2Fr4hwgDTXDR8+3EWoiQLx6UK2OvAVIN4CZkKB/akX5w1SLnlQDlEubEWd2D5B+XzJhdSIPbPqmQRKvsaCH3FmKNsNqAcRHvTG1zgkmreW+V1WftQHO9AOlnTRm/qx9IjtyBM/InFQO0csoWcyoRHt5gw/nh0OM+ezoKS0+gAN9fTJ8p+09lJv7EWe2J7D47EVXz3BZ7gHf83SBd+nXXwEYJlllnH+zKpEWoSS/PnKDfdw8DnAygHsfPKVFQ3fXt5Yro3OZfkkz0zS7/iAQlr7mWCiLe3x3xXn4wScmchkjuffP8tpfRHtw295Jkh8CAA/wfZZ/p20ce3zweHjWfklgZLngk9qclA4Z9oefPDBTW9wZz0HzQHSsg9uAsqyW0j1kwItrACdtB+I+AoM3/itt/TJYMHXUxjMgEgGGQYe4IRO1H8bm4GIPZkAADN4zl/jk2EMTgyC7NtiIObLHUQc+P4th0XzpQu+/sGyFl+TYTmWz8P5BCj6sgBFBjQ6ewYK6k3kgvaQJx06oEe+LG2effbZNuecczpIAD44aNoDJRGC/fff34EJif8Dy0R9WALkPiK1fEuXAYrBka+K8IdBmoEZSCXayQHGyeQjYbXlcxYdAyYaAKp8iQjdACk0AlwZoIAFtADEKd9/uo7Dsqkb0MkXV7iX+vPlJfIm+sEEAeAHEPlyCXUhKg3k8CUlNJptttmalryxA5oz0PGtYUACSCRizXfWgRq0xA+AcOCRQ6DJi6/MEG0BUIECgCHPnuhUr57ePtSHugB+gDF14vOXaMrh5UAO7USvrPw4VJq2AiHYl7bzxRB8Clgnb3QHUPkSCr6VXPbl4GsmUdgZ2MY/aCc2R9u0+jDZyNKHg+2z/Ke2vZQHLPJZVZ4r/yUtvnBCuUzMeLaYJGXpwhecHnjgAef7TMawExOYNKDEp9AWeMPG+BcTSyY3+A8JH+JLXfQZyZTlk/QXSb9jopLVfp4LfJmyuY+9hpTNHyYW+GNWX8Tkh+eFSRqJSS0253nJ8u8OHTo0NYHnL1lPDpDPyi8JhPgDMAk8MiHGJtSXyUfWc8AEheeI/qv2QxUt3NVHz05AGV1yFSgFxp0C/hOMRLaIxgALRDeAsLTEwMnXPADIVVdd1V1Cp05nzyCbB5SUx7WAChE38ksuedMZ83MGcjp0QJQBPHl2IrBE1JFBBTgABhiUOByY/ZDApf+MIFFQPmPHoAQEetADmIALIDEPKPmqBbDEAMug7j9zCFAyWBB5JS8idf6b67WfsMsqn8/ykYffSkBkGDjiZSgGe3Twg/e0007rgIHB22tARASAJjrov50MNDAAAl9AJHBB3YB0tACAgA709XZP7qEELtjXymfxGNTRDTgFTAEu//nNwYMHu8/Z0WaACVAhQu19in1lbKPIsyc+VK+eSaAEcNCWyQgDNIBNPUhEtRnIqU9WfkARn73znxb133vHh/g3kSigiSg70Wkil8mXr8iXCKH/qgm2RwP8OKs++EuWPjwHWf6D/ZPtRU+gg8kUkUWAEm3wh+SSd1Y98C2eE1YIuIYoJ19o4plPA0qeayY0JGwIcBElxBeATHwKn0RL/7lQ32cAlGk+yXaapN9hi6z20w/RH+Dr2IP8+IoNdeLZx15ZfdH666+fCYBZ/p382pEHSv98MFnIA0qitAAhf/tJKT5En8iqQNZzgH70MbWfpR13o0LLlSygbDktlZMUKL0CfO+YwciDHgMmy8RE9Pw3xGkEAyaREZbJeHmGSI1f1mVAY9CkI00CpY/m+Ahl8qUPlqTIh4E8CZREFogCAjNEiIg6MeAlO3sPnbXiAgO8TERkgAGcqJ4HPZaygQ8iaMmUXFKtjVACU0SraDuw7CGbOgIZACUww8BWmwCp+eefv+nHWeXzc+CPpWISsEdbiQCzXAdY+pcPiLoBy0R5/be6uZ56spznv2FM5JgIJt88BrIBHqJw7IcleuyBMrl3NAmUflkfkOQeorZsh2Cp0X/vmroCu0TMiB6htx98+R2wgT5okGdPrm+knrVLg+iR/HY4+fhv02flRwQTH/V+wHI1+0b9pw6J1tMOymLiU+svtIVJBeBKSvpPVn2Aryx96vkPE4Dk3jyAg2VebEA7SUSMa4Eyqx5MIph8JCc7TDbwgzSg5Hnyk0aeQbbDAMDAIhFOoB6d0iafXJPmk9yX9Dsi+1nPD9tBmPDR7v79+7ttNPg/7QUoiVLjX2l9EZOqJACiJTBMhDLLv7P6BX5eC5TJ/Lxf8tylfQoTkOQb4VnPge8nsTWTySolAWWVrKm2SIEcBejEABI6WuDBz5ZZhgFcfGJ5CTDh9wxmyagEHSYwBswxWHuw8JE8D5TAoV+CygJKAIpICH+AHECG/WGAgE+AEpEyBmo/sNIOlq+JZhL1YNkTSGbPFFFLohrsqyPSQWJwZWABDpIRSgY4lp8ADAZMlm8BZ5b12DsKSFJHIqMAE/kTrWX5kMQ1LCmzXzF5FEhW+UTDfD7c70GR5VyirGjnI3CAAiBD9KUWKLGNj4oA7kSfuJ+oM3COjYAvJg95QEn9+YIHkwoGTpYK0ZfoaHK/HcDB7/EVgMlvdUgCJf6QZ098r5F61gIlS9REvLA1iegdPkGZWfmhH37p/YC9tujm3/Lu3bu30xd7EYUkmpZMaAAA+BMQsP8OO+zgJh1Z9QESsvSp5z8AShIoAXsix0z68HVsyrNbC5RZ9SDKzqTAb4egXQA0y7RpQIne/gsuPLv4BFrja2jI80G0kkh4bQIo03yS5zkJlABmveeHrS5E1fFBnl/2t3qgZHsOuqb1RURMeY791h0mBvQL+FqWfydhrvZlMIAyKz/vl0y4mYQwEaS/INHfEbXk++xZz4Ff1fCT+ioNWgLhd8MpAAAgAElEQVTKKllTbZECOQqwz5BIABEtok0kBioGHZYH6Zj9iyssdbL3kAEXEGOpik6QPVws2zK4sARFNAEw41qW7fKAkgGNiAP7KdkfSOdN2eTFMitLe+Tnk5/RM+Ay0FD3tdde2w0UtAWYICLAEh+DDkuFwA574cibKA2RF/Jk4PMDHO0GxFg6HTZsmHupBHBYb731XHsBNOAB2ABMAEEGLOCW6A0QSZ1YZvcvjvg6E3FMKx99aSPfUQZm/CcSGZQYOBsFSiIjDMy0GchinxjLaCyPkgdQTHtZ7iSiiH2zIpTYl3ox2GNf7mUwZ7sAAAbQEP3FX3hxgkhQFjAB2nn25KWMRupZC5TUD/ugHRML6sFeNcArKz8ADTsAwuwDZf8v/uOBEkgGGolms7xau6eN6CDwRaSOCRgaMoECKLPqwzOQpU89/8HHkkCJjwN1wBH2wG/Ye4s/MqGj/SwLZ9WDZ4ooNisPRA/xWSaNWXso2WaC7Zi88CIObWaFwk9m8O2sqBrPVZpPAm1Jv/OTw6znx29JAIZ9JNQDJZPcrL4IgGPyRL70TzwTTNIAyiz/9i9j0a5aoPQrOWn5Jf0SmJ9lllncy134D30D9mASl/UcoAHRSz/ZrtKgJaCskjXVFinQgALMpoE2IowkBjkigrfeemvT3YAby00M2CyF8iY0sEGiM6QDZfBlcPMb9IksMADnASUb5hksiV4Q7WB/JNFDIAGwAa6Sy++UCXwmv38L7AFjgCJRQvbzMYCwJMa+PqIH1NMvH/MyADAC6LHsBxD4wY38WQZl/xzRUbRhEEcDEkv1DDDsbaR+LDv6JWtAhIG79vw+jmFKK5+oBVADpNFe9EV3IjNpQMnSO4CbjGQyYBIZoU4kdGGwJZpKO9GXBHwA2oAgS4K+3fwuueTN5ID6++gvoE2UlOgfA6QvB4AmikfZacBE5Ig9dnn2BOYaqWfteX+8gET0GVuTqA8RP6JuWfnhj7SHCQMJLYFLD5RAACDEJIdl3trkI79MGthGgB5E63hmsurDZCRLn3r+U9te/JMIMYlIPPYDuJjY8DxQX3yal9/SdAF08Fnu49nFV4FiIrRpEUp0AKxI+CiRbr+flGg5Ez4mA2kJoEzzSbYYJP2Oe+s9P94e9D0scZN4LvxWkKy+CHtSDpMF/Bh/5pkBKLP8O9kOr5M/Tgy7Z+WXtBPPBsBM/0UC2LENfUnWc8Akhsmgj5qnCtpGfyigbKOGU7WlQFEF6PBYDqo9Y5IlTyCCqEhyDyPl+Nk+m/xrj8jhzVUSA06jiY7bLwkRNSWiyJus5J+ViLQR2WTgS37hp16ZtAnwZVk0LVE2YAAI1SYio7SNQbj2GCNe2AEqiI4SJc1KWeUzcDLIMxCHfoGHewALIJSBtParRkQ+AHKgBrvxJ6v9vt7Yg7fsyZv7fGL/KJqznA+41eqQpWkj9ixST9oLXGA3oljJ+tTLj7Zhp1r/wj7ox/YA9u/VJqJk7EEkmkxZAKqPknJtvfrU88tG/Yd24itsuaB87sO2+DTQwjPHv+vVgz3G7C3GtkTy6iXyZIJW+zwQEWUC6I8Pqs0jzydrr2+0/Wl1rdcX0X+hT+2XaLL8O6+/ysoveR/wyct2ADWRfJ+y+jV8iX3kRE6rlgSUVbOo2iMFchQgekbUjeVaOjeltqWAH7z9+Zltq/blqS17QYnEAh9Z0SJgmgkFkXS/DYLtBUTjx4fEUjsaEeFFi9qJptdAPtmYNxBhJfJKJLiRyVljuZbnKgFleWyhmkiBaAowoybCNi4+fxitkRUtiO0GbFsgOqpUXAGWvolCsyTul/vTcmNPMfvhiPSxlOrfhC5ectu5kyVd9lKyBJ6MvtW2QD7ZmE1ZWidKXtVnV0DZmB/oKikgBaSAFJACUkAKSIEMBQSUcg0pIAWkgBSQAlJACkiBZikgoGyWfLpZCkgBKSAFpIAUkAJSQEApH5ACgQpwdApHtyhJASkgBaSAFBhfFeCFtWQSUI6vnqB2F1aAA4j9GWmFM2ngRo5eqX1gG7gt6JIYZVAhlRNkFnexNJNmVfKBKrUl1vNZZs3S6iagDO+zdMd4rsDhg2+yZSMct8On5Ro9b7GoSWKUQd1UTriFpJk0G1c+0GOqSWyebv87jzTcEmPfUWY4KtK+GO2JUUZROBZQFvEa3SMFahTY68Y3pIkUkAJSoLIK7LXsLALKHOvGgL0YZQgoK/sYq2FtQQEBZVuwkuooBaRAUQUElPnKxYC9GGUIKPNtrSukQKspIKBsNWmVsRSQAiVQQECZb4QYsBejDAFlvq11hRRoNQUElK0mrTKWAlKgBAoIKPONEAP2YpQhoMy3ta6QAq2mgICy1aRVxlJACpRAAQFlvhFiwF6MMgSU+bbWFVKg1RQQULaatMpYCkiBEiggoMw3QgzYi1GGgDLf1rpCCrSaAgLKVpNWGUsBKVACBQSU+UaIAXsxyhBQ5ttaV0iBVlNAQNlq0ipjKSAFSqCAgDLfCDFgL0YZAsp8W+sKKdBqCggoW01aZSwFpEAJFBBQ5hshBuzFKENAmW9rXSEFWk0BAWWrSauMpYAUKIECAsp8I8SAvRhlCCjzba0rpECrKSCgbDVplbEUkAIlUEBAmW+EGLAXowwBZb6tdYUUaDUFBJStJq0ylgJSoAQKCCjzjRAD9mKUIaDMt7WukAKtpoCAstWkVcZSQAqUQAEBZb4RYsBejDIElPm21hVSoNUUEFC2mrTKWApIgRIoIKDMN0IM2ItRhoAy39a6Qgq0mgICylaTVhlLASlQAgUElPlGiAF7McoQUObbWldIgVZTQEDZatIqYykgBUqggIAy3wgxYC9GGQLKfFvrCinQagoIKFtNWmUsBaRACRQQUOYbIQbsxSij9ED5+eef2w8//GBzzz33GFb58MMP7dNPP7Wpp57apphiCpt++unzrVaRK/7880978MEHbZFFFrG3337blllmmYq0rLFmPPvss84fsLtPTzzxhC222GI28cQTN5ZJSa4SUJbEEKqGFJACraKAgDJf1hiwF6OM0gPl0KFD7emnn7azzz67ySqffPKJzTfffHbdddfZjz/+aLPMMostueSSuVbr3bu3Pfzww9a+ffvca8t8wR577OHaffzxx9vgwYPtmGOOya3ua6+9ZhdccIGdc845udeW/YI111zTtb1Xr15NVZ155pkN0JxuuunKXv0x6iegbFPmUmWlgBQIVEBAmS9YDNiLUUabBErA8PHHH7cBAwbY5JNP7uDyn3/+sbvvvtteeOEFO/nkk+3OO++0yy67zLp162aXX365+/dpp51m6623nt10002pFl555ZVtqaWWcpC26KKL2jXXXOOiYPz/jDPOsAknnND2339/22677ezwww93kdN77rnHZp99dltrrbXspJNOsjnmmMOGDRtmXbp0sRNPPNEGDRpkM800k5133nkuohiSbr/99jHaRCTy5ptvtq233tq6du1qN9xwg9PglltuMSCLur/yyit28cUX27777uvuXXrppV3bV1hhBfc76njooYeOVY2PPvrI9tlnH5tkkknsgQcesL59+zq9iBDvueeeTm/yuuSSS+ynn36y3Xbbzaacckp75pln3H333nuvAzpAb6eddnLAu/feezs7LLfccnbhhRe6aLJPf//9tx1wwAE2fPhw6969u51yyiluUpBlA+7HrkQmiU5feeWVuUCJ/bAB9aXdm2yyiS2//PJ26623urrzswUWWMBVKek7Rx555Fh+0KlTp9T6htgz7VoBZXMV1P1SQAqUWQEBZb51YsBejDLaJFCyvLnffvu5Zd8jjjjCwV+7du0cBAGPRCyBoCeffNKIcL766qsOWCabbDL7+uuvbaqppkq18LTTTmtbbbWVA6GNN97Y5b3iiivarLPO6mBpggkmcGV9+eWXtuuuu9rrr79ul156qQOoP/74w6666ip377bbbutAZYsttnBRVGALOAOEyIP0888/27nnnjtWPbh/0kkndT+n7r5NG220kQE1v//+u2222WauDAByiSWWsI8//tiI0C200EIOoB577DHXZuAOeAQmadvRRx/tANjnnyz83XfftTnnnNPVd7bZZnP5fvHFFw6kgT+06Nevn/Xo0cNBOdfS9o4dO7p2XnTRRQ6cd9llF1cfABo7USb1wD5c7xOgCSBSHjAH/N12222unrU2YAIBtAOfX331lSuPiUO9COWvv/7q8kIH2rH99tsbUVomCNgB4Ae6F1988TF8B51pY20daGdaffO7ivpXCCibq6DulwJSoMwKCCjzrRMD9mKU0SaBcsSIES5CBjgRMfRASaTu2muvtVGjRrlIIZFE4AegIroI1LD/kH+nJQDk+eefd2DUv39/m2GGGRyYAltE6ICT008/3b799lsHtOzZ22uvvRyYAJ1E3AAowJVyuGfDDTd0Re24445GFBDwIxE1I6/adOCBBzpw9EDp25S8DqAE3IBW2u6BEkibf/757a677rJNN93UDjnkEFt33XVtwQUXdJFEgPD+++9PbTttXG211ey9995zvwcoiQrOO++8DtzfeOMNB7irrLKKA2iird98840DdJaZaS9/gNXRo0fbqquu6urXs2dPY4sCoO/zJv+//vrLaQ0Ykj+/4/9pNmB/LOCJbUnAJdHZekBJHYh4UjciuquvvrqLZmcBZVLntDrgb2n1ze8qBJTN1Uj3SwEp0HYVEFDm2y4G7MUoo1JAmdxrSfQQCBkyZIhbDmbvYCNA+eabb7roFUvJ00wzjYuGsbxMpA+AZNnUAyVRzLXXXtuBJNAGwHqgxHifffaZg1mf+D15e6CirNo0zzzzNAFv2v5Rrs8CyuQeQsCRpX1AjmVqorZ5QEl07uWXX3ZVIiqIZkQOAT4iotQX2AUo/bVEa4FYooBEBT1QAn3AvAdofk5U1yeikUA2YA7kUUcPlLU2IKrLz/z+TyCabQh5eyiZWACh119/vasfUNy5c+emCCWgCUTjF0nfAShr68CyfFp987uK/13BBIhJRjJ9PNe6IVnoWikgBaRAm1JAQJlvrhiwF6OMNgWUDPpEvRAmLULpoYC9hwzcJ5xwgts3uMEGG7gIGOAA9LB8mZbSQILII8u+QBVRLCCJyByR0XpACRheccUVdvXVV7u30ddYYw178cUXm95CZul22WWXHasaLNP7JfkkUCbfds8DSmAY6CI6ydIzcA0QAr5ATVoiQpkGlJtvvrlbzgYwiVr26dPHdt5551ygJDoKxBLBRTciiujhE1FdgJ39ikRlH3rooUygJNpJW4iysm+VfLOWvIlMcg3gCDDecccdzu6APJDIfk62JuBH7Mdki0AjQIk+afUFVLElkViirk899ZTbikAUnEg6kxH8KitpyTu/s9UVUkAKtF0FBJT5tosBezHKaBNACUicddZZLpIFNLKnLw0o/XW8EEI0EXBkkD/ooIPcHjqgiOVoloTzgJJIIwABlLC8ywslHEkDkAKVGCcNKAcOHOjK2H333V3Ekqgb17JfkuXzkARQ+jadf/75DpL5WRZQPvfccw5euAfwI2pKNJUoLWBMlI2l/MMOO2ysamQB5SOPPGKnnnqq0x4d2IN54403uvYRzcyKUBINBGK///5792IP9wFaPrG/EtD39WK5HuhEbx8d9DYASnmznRdxeGkIWCRyWhuhpP28EOV1Ii/KpQyuZQmfF5SINpMH/nHwwQc7oPQ6U7/kxMLXgban1RegJAIKNNNW8uVv9CJ6DZCzD1ZAGeL5ulYKSIGqKCCgzLdkDNiLUUbpgTLfFOlX8Nb3O++84yDKn00IXP7yyy8OMmoTL2JkvYVNXiNHjnR7Ksnjt99+c9DYSOK+Dh06NC11N3JPS1xDO1lyZ+kZYCJRd34GPNUm9hv65ena3xGRBb5Ytvaw5PPMq+sHH3zg9jGmRYWpI1oSkeXfRPXqnSPJEjaglhVhTqsLL+DwRjeg5xNlUU7WXtqsNoXWN08bfq8IZSMq6RopIAXaqgICynzLxYC9GGVUFiizTEh0k72GtYmlSeCr6omI5VtvvTVWM3mJiYisUlwFBJRx9VZpUkAKxFVAQJmvdwzYi1HGeAeU+abVFVIgngICynhaqyQpIAXiKyCgzNc8BuzFKENAmW9rXSEFWk0BAWWrSauMpYAUKIECAsp8I8SAvRhlCCjzba0rpECrKSCgbDVplbEUkAIlUEBAmW+EGLAXowwBZb6tdYUUaDUFBJStJq0ylgJSoAQKCCjzjRAD9mKUIaDMt7WukAKtpoCAstWkVcZSQAqUQAEBZb4RYsBejDIElPm21hVSoNUUEFC2mrTKWApIgRIoIKDMN0IM2ItRhoAy39a6Qgq0mgICylaTVhlLASlQAgUElPlGiAF7McoQUObbWldIgVZTQEDZatIqYykgBUqggIAy3wgxYC9GGQLKfFvrCinQagoIKFtNWmUsBaRACRQQUOYbIQbsxShDQJlva10hBVpNAQFlq0mrjKWAFCiBAgLKfCPEgL0YZQgo822tK6RAqykgoGw1aZWxFJACJVBAQJlvhBiwF6MMAWW+rXWFFGg1BQSUrSatMpYCUqAECggo840QA/ZilCGgzLe1rpACraaAgLLVpFXGUkAKlEABAWW+EWLAXowyBJT5ttYVUqDVFBBQtpq0ylgKSIESKCCgzDdCDNiLUYaAMt/WukIKtJoCAspWk1YZSwEpUAIFBJT5RogBezHKEFDm21pXSIFWU0BA2WrSKmMpIAVKoICAMt8IMWAvRhkCynxb6wop0GoKCChbTVplLAWkQAkUEFDmGyEG7MUoQ0CZb2tdIQVaTYHDB99ky/bu3Wr5+4y//fZb69KlS6uWE6MMGqByws0ozaTZuPKBHlNNYvN06xRugDp3lBmOijQ0RntilCGgLGJ93SMFWkiB//u//7NDDz20hXLLziZGZxKjjKIdVhGBq9SeKrUllg9IsyJPjVkM3WKUEcvPYpVTZs3S6tZu9OjRo4u5oO6SAuOnAgLKcLuXuWMMb40GYGn2H+vRo0cRGYLuqdJzU6W2CCjT+0ABZdDjrYulgJmAMtwLNJhIsxg+EKOMWDBRtXJkm2r1AYUjlD/++KMddNBBdscdd9iuu+5qv//+u22yySa24IILhiukO6RAG1dAQBluQA0m0iyGD8Qoo2qgF6s9sk21+oDCQLnpppva9ddf79To16+fPf300zZixAj76KOPrEOHDuEq6Q4p0IYVEFCGG0+DiTSL4QMxyogFYOOynE+++S3cYXPuCHnBqF07sxm7dCxUhyr5QJnbUggo//rrL5toools4MCB9vPPP1v79u1tjTXWsOWXX95efvllRSkLubxuassKCCjDrVfmjjG8NdpDKc2qvYfyjc9+su9++auImVvknlmm7iigtDj9TNGJSyGg/Pvvv23CCSe0HXfc0UUj+dO1a1fr37+/Owqkc+fOLeJAykQKtBUFBJThlhJQSrMYPhCjjKIDcLgHjDugEFDmWyuGr8Uoo6g/FwJKCjvwwAPt9NNPH0Phvn372pAhQ/JV1xVSoGIKCCjDDVrmjjG8NXEGemkWbhlpFq5ZGlAIKPN1jOFrMcqIDpScLPT888/b8OHD7b333rNevXrZPvvsY5NOOmm+6rpCClRMAQFluEHL3DGGt0ZAKc205F3EBxq9R0ve/1WqzP1mcISSG+odU9m9e3ebYIIJGvURXScFKqGAgDLcjGXuGMNbE6ejl2bhlpFm4ZopQtkymhXLpf5dZfbnYKBsx6tWddL3339vU0wxRWvoqDylQGkVEFCGm6bMHWN4awSU0kwRyiI+0Og9ilBWMEJ56qmnGi/lZKX999/fJp544kZ9RNdJgUooIKAMN6OAUprF8IEYZaRF9MKt29gd46o92kOZb58YtolRRlF/Do5Qekl5mztt6XuqqabKV11XSIGKKSCgDDdomTvG8NYoQinNFKEs4gON3qMIZQUjlN740047rY0aNWosX9CSd6OPh66rkgICynBrCiilWQwfiFFG0YhOuAfEmbiktUcRynxrxfC1GGUU9efCEcoBAwYYn18k/fTTT3bNNdfYzDPPbC+88IK+lJPvd7qiYgoIKMMNWuaOMbw1cQZ6aRZuGWkWrpmAsmU0K5ZL/bvK7M+FgbK2yZdeeqntsMMO9s0331iXLl1aQ0flKQVKq4CAMtw0Ze4Yw1sjoJRmWvIu4gON3qMl7/8qVeZ+szBQ3nrrrfbbb//9ticv6Vx55ZV2++232/vvv2+zzTZboz6i66RAJRQQUIabscwdY3hr4nT00izcMtIsXDNFKFtGs2K5jIcRyrQ9lMsuu6w9+uijlne0UGuIrDylwLhUQEAZrr4GemkWwwdilFH2yFG4p409QdIeynwVY/hajDKK+nPhCOV9993XFKEEINk/Oc888+jIoHyf0xUVVEBAGW7UMneM4a1RhFKaacm7iA80eo+WvP+rVJn7zWCg5C1uzqLkxo033tiISt5222322Wef2UsvvWSXX365derUqVEf0XVSoBIKCCjDzVjmjjG8NXE6emkWbhlpFq5ZGrgoQpmvYwxfi1FGUXANBsptttnGhgwZ0qRsjx49HFz6pGOD8p1OV1RPAQFluE3L3DGGt0ZAKc0UoSziA43eowhlBSOU7J2cc8457ZxzzrGDDjrIHnjgATv66KNthRVWMA41X2CBBbSHstEnRNdVRgEBZbgpBZTSLIYPxCijaEQn3APiTFwUoSximTi2KbM/B0co2S85cOBAO+qoo9zS98EHH2x//vmnTTjhhHUtwBvhLIkvtdRSxSylu0qnAF9LwoEWXXTRpro1Yudnn33W5p577tRvvn/33Xf27rvv2mKLLdaq7U2re7JAH3UnAt9IElA2otKY15S5YwxvjQYTaaYIZREfaPQeRSgrGKEEKI899lg74ogj7IwzzrADDjgg9ROMtU7y4Ycf2qqrrmpvvfVWo/6j60quwFNPPWUnnXSS3XTTTU01bcTOa665ph1//PHWq1evsVoIbHJo/h133NGqrU+re7LA008/3f755x8XhW8kCSgbUUlAGa6SNJNm5fAB7aHM98QYk+QYZdDSIuUUilBOPvnk1rVrV/vyyy/d13KSUZxXXnkl9aWcLNA48sgj7bLLLrNu3bq5F3omnXRSO+yww+y6665z1ttwww3t3HPPtcGDB7tI6FVXXWUnn3yyPfTQQ/bcc8/ZJ5984v6/xRZb2OOPP279+vVzZ2FusskmBhR89NFHtttuu9mUU05pzzzzjO2zzz527733GuAC1Oy00072zjvv2C677OIiY1tttZUdd9xxuRHXWtcCkoi+0v4bbrjB/Zoo2L777mt33323Lb300q6dvB2PFgceeKA7BH7LLbe0u+66y5L39+3b1+6///6G2gfMcSYooI4taN/ZZ5/t3sDnbNDFF1/cnQ96yCGH2F9//WXoTf7J9Pnnn9uee+7p9KOel1xyifv6EXlNMskkblsD95x22mk2cuRId4A95dHen3/+uSGgvPDCC52diEzSfuo2wwwz2I477miPPPKI9e7d25X78ccf23bbbWdTTz21K2Pvvfd2k5eQxAti1B1fYgsGUXRSVt3xi5133tn5zbbbbusmSmiIrfwEiP+vtdZamdUQUIZYqPwz7fDWFOuAQ8sp0smHllF0MClrOdKsiGV0bFAR1WL4WowyivYBwUAJEAAmWSkEKJ9++mkHJ08++aQNHTrUXn31VQcQm2++ub388suuCMoDyE444QQHWYMGDXJvlAMMnHkJVAKOr732mi2xxBIOnPr06eP2dF588cVuXyd7PvmST8eOHR14XnTRRTbTTDM5iARgeFsdkOI+wGKvvfYyXj7yCZj9+uuvx2jy+uuv7+rmE8cmLbTQQnbiiSc6iCFRV9oEuB566KGuTr/88osDWODqiy++cEu71CF5//PPP99w+15//XXbfvvtHSwDaYAP/wYi0en888+3GWec0X0aE8jcbLPN3Ocx55hjjqa6A+EcTg+48W8mCOutt57TDbDnoHq0pb5EJAFlItP77befMbnIi1Ay8Zh99tlt+PDh9tVXXzkbUIdbbrnFtb1///4uKjnvvPPaKqus4soCyqeffnpbffXV7b333nMTmEbtAbBSZyYm+An5kKhzWt2BWYB5mWWWcVqeddZZTkMg8c4773S+yPYOfCwrCSjDu98yd4zhrRFQSjMteRfxgUbv0ZJ3+SfiwUDZqPFrr0uLUI4aNcqBDREpAAbgAraygHKRRRZx0UYifcAowEZUbooppnDL7sDKgw8+6KJKANvVV1/toI/7iAYChdNNN52LdPKHCBaAx9/kNfHEEztoJT/+79N55503FlACofPNN98YQAl8zD///E0/I/K46aabOshdd911bcEFF3SQmwWU/v6Q9gFrgBmwxh+ifBzjRDuIKB5++OEOjvmbRFuI2KGxT4Amur3xxhsO7IE6IrerrbaagzkSkEeUkfuGDRvm2gmk8icPKLkeML322mtdXsAlwEgZRJyxETZDK+AduPORQeq+zjrruIhzo/bA14B64LF9+/ZN91FObd3RC5AFlkn8H0gnekrEkpfPSLyM9uKLL7qfpyUBZXjPIKCUZjF8IEYZWLLq5WjJO/95jeEDMcoo6s/jFCipNIM3sMFRRCz77rHHHmMAJXBH1JMIJYCz0UYbOaDkPqARIOTcS/a7Ee0DUNdYYw0HBkQFgQjuIcoEfAFCwMOvv/7qQJIlc6KVRDl94oB28vAJAPz999/H8KZZZplljJdKiDCyjA6wJhNgB3CxnE+dgBwPlEATUVEfofT3h7SPNnktKIc/3O+BkiVcXqACxH1aeeWVHdz6hE4AJde++eabTk9gz+vGdUTxiNyttNJK9vbbb7t2EgUFkPOAEoglXw9nvMTDfSuuuGJT9JHfe9sSWaT+JKLI1JfIamEISlIAACAASURBVKP2SJu84B+dO3ceq+5sbyBvH30EaPk39gS0iZ6S+D/7Lon2PvbYY257QG1Cx9ZOMTqTGGUU7bCK6Ful9lSpLbF8QJoVeWq05F1EtRi+FqOMos/mOAFK4IHBnaVdBmZgEWjcYIMN3H46Ikaffvqp22tHpIlIUR5Qsj8OyAEwiUYCiUTq8oCSyCZL1UDYwgsv7OCLKNTuu+/e5E9rr722g8BkApKAQZ+SQEn0lHoTtQKeiE5yPeC3/PLLuyjgjTfe6KCK5fBGgDKrfXlACajTLqKPROuANl6qSr6ZjUZsAwAaiUT6pf9aoAQIAW9AkK0KbA3ATllA6e3M2aRowDLyDz/8YMA4S97sVaQsopBsFQC2iUQCkERGOTmASQI+kgT1PHskgRJ/ABDZS7r11luPVXfsQN6Ugc8QJQVigWbaxV5dti3w83ovlClCGd79lrljDG9NnAiVNAu3jDQL1ywNKBShzNcxhq/FKKNNASWDM8uqLJ8CDOxtZF8mb9Syh419byyPMsATQQTQAEr20/GSTloEDzBkGRpwIrH/D7AkKlgvQsl9N998s9tfR6IuQC0vhYQkgJL9nCyNElWlzizHA0xEA4El4A5YJfpHNBKQpb4eKP39Ie0D7LIilAAbUH3MMcc4eAXsWD5mr2Xye+tEHtkjSL3ZHnDPPfc44AWq/V5WYBOgJFJLJBNQwz7sT2Sp3ackzHk7sy+VyDPl8pIPkwmWytl2wO+w0x9//OFe/iFfbEyivn4ZPMQWyTowUaHugCwRxrS6X3HFFW5LAHVg/ygvbaHXBRdc4PySB5gIc3JfbW19BJQhFvrvtWXuGMNbE6c90izcMtIsXDMBZctoViyX+neV2Z8LRyjZFwgw1Sbe1ualC5aNG0ksRRL96969+xjfAQcAAJzQxBvL1IFoHBDXpUuXhrIAHHgjnJc5JphggobuaeQiAImXY9g3mIQ4YIk3z0NT0fahJ29uZ+0BBOqAabYB+K8dJeubrCdasf81K6+sNnEPNqWcZAIAWUpOnmUKuFLn5Ms4oVqlXZ9Vd2CSrRBAcq2d8KXJJpusbvECynDrlLljDG+NgFKa6aWcIj7Q6D16Kee/SpW53ywMlETiAIS0xJu/HMED2ClJgfFBAQFluJXL3DGGtyZORy/Nwi0jzcI1SwMXLXnn6xjD12KUURRcCwMlUUiWalmeJbLEMjVnEvIGMS+0sIzMvjklKTA+KCCgDLdymTvG8NYIKKWZIpRFfKDRexShrGiEkmXDiSaayL3kwP4zEvsfOaaGZXCWQjkPkeOAlKTA+KCAgDLcygJKaRbDB2KUUTSiE+4BcSYuilAWsUwc25TZnwtHKHkzmDdheWmCFy14aYEvp/DmL+cI8mZs8kzGYubRXVKgbSggoAy3U5k7xvDWaDCRZopQFvGBRu9RhLKiEUqaNWLECHf8jP9EIm8PDxw40F566SUHk7w13JIvtzTqdLpOCowLBQSU4aoLKKVZDB+IUYYilOG+HHqHgLLCQOmdgbdxOf4l7y3YUOfR9VKgLSkgoAy3lgZ6aRbDB2KUIaAM9+XQOwSUFQZKvqPNnkm+w51MHEgtuAx9VHR9W1dAQBluQQ300iyGD8QoQ0AZ7suhdwgoKwyUPXv2dAdqcxA238D2iU/mcZahkhQYnxQQUIZbWwO9NIvhAzHKEFCG+3LoHQLKigLl33//7Y4KGjBggB199NGhfqHrpUDlFBBQhptUA700i+EDMcoQUIb7cugdAsqKAiXN4hOJfJuZT+glv0bDF0+yvrAS6kC6Xgq0FQUElOGW0kAvzWL4QIwyBJThvhx6h4CywkCZ9aUc/9m+UGfR9VKgLSsgoAy3ngZ6aRbDB2KUIaAM9+XQOwSUFQbKM888M/Vb3nzju0OHDqG+ouulQJtWQEAZbj4N9NIshg/EKENAGe7LoXcIKCsMlKHOoOulQJUVEFCGW1cDvTSL4QMxyhBQhvty6B0CyooBJedNzjTTTHbEEUfY4MGDbeTIkWP5hI4NCn1MdH0VFBBQhltRA700i+EDMcoQUIb7cugdAsqKASXf8F5ttdVshx12sJtvvtm+/vrrsXzi1ltv1bFBoU+Krm/zCggow02ogV6axfCBGGUIKMN9OfQOAWXFgDLpAPfdd5/16dOn6UfA5kUXXeTe/ubb3kpSYHxSQEAZbm0N9NIshg/EKENAGe7LoXcIKCsMlDPPPLMdcMABtv/++xtfzdltt93cQed6yzv0MdH1VVBAQBluRQ300iyGD8QoQ0AZ7suhdwgoKwyUW221lV111VW2+OKL27PPPutayhvexx9/vDv0XEkKjE8KCCjDra2BXprF8IEYZQgow3059A4BZYWBkq/lHHzwwXbGGWdYt27d7PHHH7c55pgj1Ed0vRSohAICynAzaqCXZjF8IEYZ4wNQfvLNb+EOm3PHt99+O8aHUepd3q6d2YxdOhaqQ5V8oMxtSatbu9GjR4/Oslrv3r3HOH/ylVdecZfONddc1rFjR3viiSesU6dOhYyum6RAW1VAQBluuTJ3jOGtMYvRnhhlVA2OpFkRb5Y/F1Ethq/FKKNoHxAMlCuvvLL98ssvmVrff//9esu7iCfqnjatgIAy3Hxl7hjDW6MBWJr9x3r06FFEhqB7qvTcVKktRSEsyPgWp58p2pZgoEw2npdwOnfu7CKSn3/+uc0zzzyh2uh6KVAJBQSU4WbUYCLNYvhAjDKKDsDhHlBuoAhtj2wTqli57V8YKM8991zbe++97c4777RZZpnFevbs6V7KYWBVkgLjmwICynCLazCRZjF8IEYZAspwX5Zm1dOsMFDOPffc1rVrV7vhhhtchHLPPfe0IUOG2KeffmozzDBDMaV0lxRoowoIKMMNp4FemsXwgRhlCI7CfTlUswsffr9YIWYW8vJPkUJ2XaG7uy2Gr8Uoo2hbCgElh5hPNNFE7uzJQYMGOSGHDh1qffv2tSeffNKWWmqpIjbRPVKgzSogoAw3XZk7xvDWaDCRZtpDGeoDIX3AOQ+8Z5c+/mFoEa1+fZdJJ7L7D1xOQJkB1HXf8vbWWX755d2B5uutt55NPvnk7lOMU045pb377rvWoUOHVjeiCpACZVJAQBlujZDBJDz3/91RpXKq1JaiUZBQX5BmoYr99/oYuoWUIaCMZ5ei9i8UoaSw999/351Bee2119qoUaNsrbXWcudSrrDCCsW8V3dJgTasgIAy3Hghg0l47gJKaVb+AbiIjar03IS0RUBZfn8uDJT+Qfjuu+/c5xZnnXXWIs+G7pEClVBAQBluxpDBJDx3AaU0K/8AXMRGVXpuQtoioCy/PxcGSm487LDD7Prrr3etXGWVVeyII44wlsKVpMD4poCAMtziIYNJeO4CSmlW/gG4iI2q9NyEtEVAWX5/LgyUm266qYNJ/p5sssmawHLkyJE62LxIL6F72rQCAspw84UMJuG5CyilWfkH4CI2qtJzE9IWAWX5/bkQUPIK/lRTTWXHHXecHX744a6VN954o2244Yb2wgsvWK9evYo8J7pHCrRZBQSU4aYLGUzCcxdQSrPyD8BFbFSl5yakLQLK8vtzIaD0xwZtvfXWNnjwYGvfvr2ddNJJbsn77bfftjnnnLPIc6J7pECbVUBAGW66kMEkPHcBpTQr/wBcxEZVem5C2iKgLL8/FwJKmrXjjjvaJZdc4lrIsUE//vijW/7mrW8lKTC+KSCgDLd4yGASnruAUpqVfwAuYqMqPTchbRFQlt+fCwPlr7/+ajfddJMDSN7y3nzzzR1QdunSpcgzonukQJtWQEAZbr6QwSQ8dwGlNCv/AFzERlV6bkLaIqAsvz8XBsoiD4LukQJVVUBAGW7ZkMEkPHcBpTQr/wBcxEZVem5C2iKgLL8/BwPlzDPPbH/88Ufmc/Dee++5t76VpMD4pICAMtzaIYNJeO4CSmlW/gG4iI2q9NyEtEVAWX5/DgbKtdde23gpJysNHz5cxwYV6SV0T5tWQEAZbr6QwSQ8dwGlNCv/AFzERlV6bkLaIqAsvz8HA2XtA0C0csSIEe7Nbl7OUZIC46MCAspwq4cMJuG5CyilWfkH4CI2qtJzE9IWAWX5/TkYKF9++WXbcsst7auvvnLf7j7rrLPsk08+cS297rrrbJNNNinyjOgeKdCmFRBQhpsvZDAJz11AKc3KPwAXsVGVnpuQtggoy+/PwUC58sor2wMPPGBzzTWXO3OStNFGG9mwYcOsW7du9sUXXxR5RnSPFGjTCggow80XMpiE5y6glGblH4CL2KhKz01IWwSU5ffnYKBs166d7b333nbmmWda586d3XFBF110kTvYvF+/fvbLL7/YJJNMUuQ50T1SoM0qIKAMN13IYBKeu4BSmpV/AC5ioyo9NyFtEVCW358LAeWxxx7rvooz99xz2/rrr28MphdeeKHttttu7kzKKaaYYqzn5I033rCpp57aRTGT6bnnnnNgyhL6QgstNF7BKFo99thjtvjii7v2zzfffEX6lzZ5D5/vxPkWXXTRpvr/9ttv9tJLL9lSSy2V2aZnn33W+V2aj3333Xf27rvv2mKLLRZdEwFluOQhg0l47gJKaVb+AbiIjar03IS0RUBZfn8uBJTsoeTPDjvsYEsvvbTtvPPOdvvtt9ugQYMygXKXXXax1VZbzS2P+8Sh6Keddppddtllxtvhu+++u4POeum1116zCy64wM4555wiz2Kp7pl99tlt1113tVVWWcVoV9++fXPrd8ABBxifvGzr30t/6qmnXFSbw/F9+vDDD23VVVe1t956K1OHNddc044//vjU9gObAwYMsDvuuCNXx5a+QEAZrmjIYBKeu4BSmpV/AC5ioyo9NyFtEVCW358LAWW9hyArQlkLlMBD7969HYBeeeWVNnToUDvjjDPct8H//PNPu+qqqwzoOPDAA+3uu+924Ap4rrDCCvbKK684GDn00EPHqspHH31k++yzj4t0stcTSANaP//8c9tzzz3t8ccfd3nx2cippprK2BO68MILuxeKNt54Y2NJn7psuOGGdv7559tPP/3klvjvvPNOW2655VwkNg96ayt1zDHHNLUJWJpwwgkd+PDzf/3rXy7aS70AdOo+6aST2gILLGCc+XniiSe6OtDef/75x20xmGmmmYyXo6h/bQLQ7r//fiPyy8tSJ598sm2xxRYuf7YkvP/+++7FqdNPP93B3K233uoAjk9nUvbZZ59tRAqxCZHTd955x7Adkb+tttrKjjvuOFd/n9J0pb5pNhg5cqRrI+URhfz5558bAko0px1EJvEb6jbDDDO4z38+8sgjzo+w58cff2zbbbedsw9lYDe0jZEElOEqhwwm4bkLKKVZ+QfgIjaq0nMT0hYBZfn9ORgor7nmGhs9enTmcwCsJIHDX1gLlH///bcDyFGjRhlL6IsssoiLcp5wwgkOiIh2ckj6q6++6iJSwCMwOe2009rRRx9t99xzT+p5l4APRxgBiLPNNpstscQS7kUhyqJMAAOw6tGjh4NV8iNqSqQQsCTaytvrLMVS9m233WZPPPGEK5N6AJyXXnppU/upx4svvjiGHtzbp0+fpp/Rdt8mInAkYGr66ad34AM40/YjjzzS1fmwww5zEMcWAOpA/bfffnt74YUXbJ111rF9993XiNRRl9oEdANzjz76qINKwJHoJzoccsghrl7oePHFF9vrr7/u8n3mmWccpAGT/Ju6fPbZZ25vLJANgHMf2uy11162zTbbNBWLlrW6rrfeeqk2AIpZ6ibKut9++7ljpvIilF9++aURySWCzbYA4BgdbrnlFgeQ/fv3d3A+77zzukgv7bzhhhuctquvvrrzoa5duzbVlwnL119/PYZsbNsAVpuTBJTh6oUMJuG5CyilWfkH4CI2qtJzE9IWAWX5/TkYKIs8ANyTtuTN0jVRK2CtZ8+eTUAJXLIf86677nLfBweE1l13XVtwwQUd8AAxAFpaAihZWgckSAAGES6A48EHHzT2chKBBD4AHICSclhCBip8ZI6oF5FNII9oIfUj4nf55Zc35U3+wNfzzz8/RlWI7K2xxhpjAKVvU/JC9gECi5TvgZKygK4JJpjAllxySZtuuuncEjdwBIBxsDxwTbQ0LQGUTz/9tANyoo6UwQQAGKP9ACzRvquvvtqANcAMWOMPUT4AGm1pO2/uEy0lr4knntj9nPz4v09EM2t13WmnnVJtQHSVPOeff35jYsKfPKDkeiYHbI8gAZcAI2UQxcZmtAk/ARaJSPslc8AXAE8eZXXeeeeNBZRAc3P3rwoow3uGkMEkPHcBpTQr/wBcxEZVem5C2iKgLL8/lxIok3stgRigA5ADeGaZZZZcoCTiyJIwCTBkvyXwAvhsu+229uabb1qnTp2agJL/d+nSxUHjzTffbHPMMYe7D6hirygRN5afSQAW0UyfiOR98803Y/QLLEWzJOtTGkzzuzSgTO4hJHoLSF1//fUOPIFhwDoPKIk8Ao28cU87WSrnRRXaBeiiI3kAlP5aNOYPQOqBkigmy+tEOX2aZ555xoBl8qnVFdirtQHnla600kruqCkgGYAm/zygBACxj98zS/SX+1ZcccWm6CO/pzzqTnTXTzbQnS0Nm222WVP9WcL//fffx7AXPpX2kk9WZ8+LVGwhqE1pWzCKDBj17gnpgIuWHaMM6qZywi0kzaRZlXwgpC0CSgHlWFC1zDLL2A8//OAiS1kRSg+ULGUCEEAUYAH8AIQsmTKopyUilGlA6Y83AhSJWrKES1SJCGU9oCRCBnCw1Es0j+jYFVdc0VQ0y+DJ//ML9vERRU0DSsrirXagqh5QApBEJnnBhKVtgJd7gSTaz97LtARU1QIlUWDKAzCBXyCRSGQeUFI2y+7kyXaAo446yoEyL0/5hB1ZGk/qytJ4mg0AU0CQfZTo+emnn2YCpdeJPbbYn8g0foMtWPJmCwM2JArJPlOiukQiAUii02y7AKIBP9ruExFeoDKZ8C0iw0RxmVTwaVG2IbDPk3z4EhTL5vhKVlKEUgN9yOAYrlb5B5MibZJm4arF0CzWhC+kLQLK8vcBLRahZOC+9957HUh16NBhrKcEEGLZFrjhWpads4CS63gpBogAGljqBhiGDBlis846q3Xv3t3tnSMaVZuygJKXN0499VQHcSw/+72PLHVnASUAxDIzEAvY8AIK99U71iate/Btp00szbLcDnTlRSgBSsqjzdSTpfuBAwe6l4WIVqa9lJMGlCx5s6zLPST2mAKWgF1WhBJgAzqJ2AKwpI4dO7qXYJIvJRF5rNX1xhtvdNBZGyUmMoiWgC1Qyz5Hltp9Sr7lndRpjz32cFsReNEKGCfazItbaEg7+PwnL2CRLxqTsJdfBm+ky8a3iAQzaeBeyvEvmAGhTEjqvYUvoGxE5TGvCRlMwnP/3x1VKqdKbSkjtMjP4j43If4soByPgJLl4YMOOijz2KCiDyqQwLIye+f8SyhEkPgZwFmb2Hfol6drfwd8AEUsW3tYSHuxJa2uH3zwgYt0cX/MBGRNOeWUDnB8IlJHffyXipL1WWuttTLP8gSIOQe0ffv2DtCJejaS0Ju353lhiL2dzdGVvFjKT24JaKQO3AOA1+qPPjPOOOMYL4IBrmiUfBmnkTKac42AMly9kMEkPPe4A6PgqJiFYvhAjDJi2b9q5YTYRkApoCzWyzRwF0CUdl4h+wSnmWaaBnJo25cAUgBibSL6ygs0SnEVEFCG6x0ymITnLqCUZuUfgIvYqErPTUhbBJTl9+cWW/JurQhlkQdO90iB2AoIKMMVDxlMwnMXUEqz8g/ARWxUpecmpC0CyvL7czBQcsYh5w7WJr5Swp+sg82LPDi6Rwq0FQUElOGWChlMwnMXUEqz8g/ARWxUpecmpC0CyvL7czBQ5u05FFAW6SJ0T1tXQEAZbsGQwSQ8dwGlNCv/AFzERlV6bkLaIqAsvz8HAyVvUddLfIEm7cWNIg+O7pECbUUBAWW4pUIGk/DcBZTSrPwDcBEbVem5CWmLgLL8/hwMlDSJN3U5B5LjdnijljP8+JwfX3zh8GreolaSAuOTAgLKcGuHDCbhuQsopVn5B+AiNqrScxPSFgFl+f05GCj5fjLn+3HwczLNNddc7hgbzpZMfkmmyAOje6RAW1NAQBlusZDBJDx3AaU0K/8AXMRGVXpuQtoioCy/PwcDJZ8G5ABzvkrCAd18PYTP/HFYOYeAc9YjXxdRkgLjkwICynBrhwwm4bkLKKVZ+QfgIjaq0nMT0hYBZfn9OQgo+TQdh0Wvs8467osiJL5Ywvedf/rpJ3dgNcvgfI5PSQqMTwoIKMOtHTKYhOcuoJRm5R+Ai9ioSs9NSFsElOX35yCg5DN9fOv43HPPtT333LPpWeCAbfZUshROpJLvdStJgfFJAQFluLVDBpPw3AWU0qz8A3ARG1XpuQlpi4Cy/P4cBJR8BrFTp04233zz2XPPPdf0iT++pcy3om+99Vb3rW6WwZWkwPikgIAy3Nohg0l47gJKaVb+AbiIjar03IS0RUBZfn8OAkqac8ghh9gpp5ziWsZ3o/m+9YMPPmhktN1229mll15a5BnRPVKgTSsgoAw3X8hgEp67gFKalX8ALmKjKj03IW0RUJbfn4OBkiODAMr+/fuP8Sz069fPjjrqKOvYsWORZ0T3SIE2rYCAMtx8IYNJeO4CSmlW/gG4iI2q9NyEtEVAWX5/DgZK/wCMHj3aPvnkE/cZRqKUAskiXYPuqYoCAspwS4YMJuG5CyilWfkH4CI2qtJzE9IWAWX5/TkYKL/77jsbOHCgLbroou4lHCKTp59+unXr1s2GDRtmvXv3LvKM6B4p0KYVEFCGmy9kMAnPXUApzco/ABexUZWem5C2CCjL78/BQLnNNtvYkCFDjAG0e/fuDir53CIZLbfccvbII48UeUZ0jxRo0woIKMPNFzKYhOcuoJRm5R+Ai9ioSs9NSFsElOX35yCg5G3uaaaZxh1qfv755xtwed1119kXX3xhDzzwgG2xxRb25ZdfumuUpMD4pICAMtzaIYNJeO4CSmlW/gG4iI2q9NyEtEVAWX5/DgLKDz74wEUlgcgNNtjApppqKncu5ZNPPukOOl9vvfXsjTfecAedK0mB8UkBAWW4tUMGk/DcBZTSrPwDcBEbVem5CWmLgLL8/hwElDSHr+DMOuusbq/kgAED3GcXN998c3dkEN/y5lvfSlJgfFNAQBlu8ZDBJDx3AaU0K/8AXMRGVXpuQtpy4cPvF5HL3fPtt99aly5dCt+fd+OuK3R3l4S0Jy/PrN/HKKNoW4KBctCgQbbHHnu4tvLt7hEjRthVV13lXs458sgj7Zhjjimqk+6TAm1WAQFluOnK3DGGt0aDiTT7j3ufoLVTlZ6bKrWlKISF+kuZNQsGShrPnkk+tbjkkkvaTDPNZE888YT7jjdL3u3atQvVR9dLgTavgIAy3IRl7hjDWyOglGYCylAfUB8QqlicfqYoHBcCynAJdIcUqLYCAspw+2owkWYxfCBGGUUH4HAPKDdQhLZHtglVrNz2F1CG21N3SIGxFBBQhjuFBhNpFsMHYpQhoAz3ZWlWPc0ElMVsqrukwBgKCCjDHUIDvTSL4QMxyhAchftyVTT77a9/7M0vfnQCNPLyz8IzTllMrP9/V5n9WUDZLNPqZinwXwUElOGeUOaOMbw1cZaipFm4ZaRZuGaxYK8KtgEor37xk4ZEnn6Kjrb63N0aujbrojJrJqBslml1sxQQUBb1gTJ3jEXaFKM9McqIBROxypFmRbxZE6RGVRNQ/k8pAWWjXqPrpEAdBRShDHcPDfTSLIYPxCgjFhxXrZwq2EZAKaAM78l1hxQQULaoD1RhMEkKEqM9McoQtBRzc9kmXLcqaCagFFCGe77ukAICyhb1gSoMJgLK5rlEDB+IUUbVIDxWe6pgGwGlgLJ5vaDulgI1CmjJO9wlqjCYCCjD7S7Nyq+ZgLJxGwkoBZSNe4uulAINKCCgbECkmksElNIshg/EKCMWgFWtnCrYRkApoAzvyXWHFNCSd4v6QBUGE0XbmucSMXwgRhlVA71Y7amCbQSUAsrm9YK6WwpoybvZPlCFwURA2Tw3iOEDMcqIBWBVK6cKthFQCiib1wvqbikgoGy2D1RhMBFQNs8NYvhAjDKqBnqx2lMF2wgoBZTN6wV1txQQUDbbB6owmAgom+cGMXwgRhmxAKxq5VTBNgJKAWXzekHdLQUElM32gSoMJgLK5rlBDB+IUUbVQC9We6pgGwGlgLJ5vaDulgICymb7QBUGEwFl89wghg/EKCMWgFWtnCrYRkApoGxeL6i7pYCAstk+UIXBREDZPDeI4QMxyqga6MVqTxVsI6AUUDavF9TdUkBA2WwfqMJgIqBsnhvE8IEYZcQCsKqVUwXbCCgFlM3rBXW3FBBQNtsHqjCYCCib5wYxfCBGGVUDvVjtqYJtBJQCyub1grpbCggom+0DVRhMBJTNc4MYPhCjjFgAVrVyqmAbAeU4BMonnnjCFltsMZt44omb1xO18N333Xef9enTJzjX5557zjp37mxzzDHHWPd++umn9vvvv1uPHj2C822rN4yvOurTi+EeW4XBREAZbndpVn7NYoFrFfoAAeU4BMqZZ57Znn32WZtuuuma91Ql7r7yyivtzz//tO23375wnu3atbPRo0cH3X/ttdfaaaedZpdddpnNN998Y9178cUX2+eff25HHXVUUL7j6mLpWFx5AWW4dlUYTARH4XaXZuXXTEDZuI0ElCUDyqWXXtr4M3ToUFt11VXtoosusokmmsgOPvhg+/e//23du3e3Cy+80JZaail7+eWX3c/5G4DcaaedbNlll7Vff/3Vhg8fbpNNNpntuOOO9ttvv9nee+9t++23nz3zzDO288472/vvv2/bbrutnXHGGQ4eDzjgALvpppts9ZMm9AAAIABJREFU3XXXtfPPP9/97J133rFddtnF3n33Xdtqq63suOOOswknnHAs7/rwww+td+/e9v333xsgNvXUU1u/fv1cGZtssomdfvrp5oHyyCOPtAMPPNCmmmoqO/zww+3EE0+0QYMG2UwzzWTnnXeeLbLIIo17r5ndfvvtdvfdd9sLL7xgJ598si2zzDLufuk4po6PP/74WDbB3vfff78RWf7kk0+cfltssUWQ/mkXCyjDJRRQSrMYPhCjjFgAVrVyqmAbAWXJgJLo4MCBA23XXXe1rbfe2vbZZx+bdNJJ7bDDDrMrrrjCAdQdd9zhQGDTTTe1DTbYwMHcRhtt5CD06quvdkvLRx99tK200koO3hZccEFbccUV7fnnn7cNN9zQ+vbt68ALCD3rrLPs66+/tmOOOcYGDx7sgBAABCg33nhjB2YsfwOhe+21l22zzTZj9fx///23A9NRo0bZsccea8stt5wdcsgh7r4VVljBwSTQS4Tyl19+sZdeesluvvlme+uttxzAXHfddXbvvfe6CCdwOsEEE7gy3nzzTXddMk0zzTQOkn2izbTn8ssvdxp06tTJ/Uo6/k9H9FhiiSXGssnrr7/u/OvRRx91UIndX3vttfCRveYOAWW4hFUYTBRtC7e7NCu/ZrHAtQp9gICyhEAJmHXt2tVYRn7kkUdcpHGuueZqAqlpp53WDfwAAIC5++672zrrrGMzzjijgzIiknvssYfNM8889sUXX7gWvvfee9a+fXtbcsklm352ySWXGFDxxx9/uGXq3XbbzT7++GObZZZZHPgBskQP2eMJwE4xxRTu/2npggsusJEjRzqQ/eqrr+zBBx90wEjUC8j97LPP7IgjjnDQCTRSBtFJImdALglQ/Oijj4ytACTaOGzYsLGAkrYlgfKWW25xWiUTQCkd/6sjKc0mX375pT399NPOpj/++KOzb+hWhzRfEFCGD5JVGEwER+F2l2bl10xA2biNBJQlBEqAsEOHDi5ayHIuwEckb/3113e1ZeBnGXrKKae0G264wQAqonzAIGDF/SxdE2EE6kjffvutW4Im6umjUEQk+Tf3bb755u56rmM5miVQlqGBVp8A1DXWWKMuUA4YMMC9aMSLOVwLtB566KEOKM8991ybe+653Z7Rs88+20EvPyeK6dN2221nXbp0cf9lCZ26JVPHjh3HeOmHCCVQRH61QCkd/6sjkJhmE4CSCQXQzwSC6G4oUD722GNuUlCbsHlrpxgQFqOMWANW1cqRbcKfMGkWrlms56YKthFQlgAoGcR/+OEHB1tE1ogGAllbbrml9erVy4hIMmizd/Kpp55yIMYS8sorr2xDhgyxGWaYwcHgZptt5iJ8P/30k7FXcfrppzcGfKKBRCAffvhhW3TRRV1ewCJL5uyRJIrJdSxNExEELqnTQgst5F6yWXjhhd3LNJRDNDQt+QglvwcYAZRvvvnGlXPbbbc5cGTJm32eRFKpP3VlGZ8IJm+BA6Avvvhi01vv99xzj9v7mUxoBED7lARK8peOY+uIfdNskgWUXE9Es2fPnvbXX385n2PPLvtnR4wY4aLn+GRWUoQyfNCqwmCSbHWM9sQoIxZMxCpHmoU/m7JN45oJKMcxULJ3DYgD8oAjgJI9j8BYt27d7IEHHnARSpaDgS0ih9dcc42DRwCTl3IAPqJxLDM/+eSTbgn5xhtvNICBF1+4n8gf+xsBOP8zjvBh7yLwxz5EIA8A5GUcwIz9i7ysQyIyyPI7L9zUA0qWvIHbN954w10255xzurYQGWVJHNA96aST3D7Qu+66y9WLvZ10dEQw99xzz8a918xpxotG7AXlZSLpmK5jmk122GGH1Aglk5Trr7/egTtRYo6C4m8i42uvvbabcOAvAsogV617sQb6cC2lmTSrkg9UoS0CynEIlGndAUDJsT/s/yMimExE+Rjc2dvoEy/U8BJO8lre8mbfI3smgUmiTMl7+BlRKOCR8nwiSkhU078Uw8+5l0jibLPN5n5O9JRl8WRij+fqq68+xs+IFgLE1IHr/TJ2WpsBTZb4610T2nVKx7EVC7FJqN7J6xWhDFevCoNJstUx2hOjDNpUpXKq1BbZJryfaW3NBJQlBEogDhArY3rllVdcRDOZgEGW5suUAErpOG4sIqAM110DvTSL4QMxymhtaIk9cYnVnirYRkBZMqDMi+aFd7vj5x3ScdzZXUAZrn0VBpPYA700k59VyQeq0BYBZcmAMryL0B1SoFwKCCjD7VGFwURAGW53aVZ+zRShbNxGAkoBZePeoiulQAMKCCgbEKnmEgGlNIvhAzHKiAVgVSunCrYRUAoow3ty3SEF6iggoAx3jyoMJoq2hdtdmpVfs1jgWoU+QEApoGzeE627pUCNAgLKcJeowmAiOAq3uzQrv2YCysZtJKAUUDbuLbpSCjSggICyAZFqLhFQSrMYPhCjjFgAVrVyqmAbAaWAMrwn1x1SoI4CAspw96jCYKJoW7jdpVn5NYsFrlXoAwSUAsrmPdG6WwrUKCCgDHeJKgwmgqNwu0uz8msmoGzcRgJKAWXj3qIrpUADCggoGxCp5hIBpTSL4QMxyogFYFUrpwq2EVAKKMN7ct0hBeooIKAMd48qDCaKtoXbXZqVX7NY4FqFPkBAKaBs3hOtu6VAjQICynCXqMJgIjgKt7s0K79mAsrGbSSgFFA27i26Ugo0oICAsgGRai4RUEqzGD4Qo4xYAFa1cqpgGwGlgDK8J9cdUqCOAgLKcPeowmCiaFu43aVZ+TWLBa5V6AMElALK5j3RulsK1CggoAx3iSoMJoKjcLtLs/JrJqBs3EYCSgFl496iK6VAAwoIKBsQqeYSAaU0i+EDMcqIBWBVK6cKthFQCijDe3LdIQXqKCCgDHePKgwmiraF212alV+zWOBahT5AQCmgbN4TrbulQI0CAspwl6jCYCI4Cre7NCu/ZgLKxm0koBRQNu4tulIKNKCAgLIBkWouEVBKsxg+EKOMWABWtXKqYBuA8s0vfnQP87fffmtdunSp+2AvPOOU4Q9+4o4ya5ZWt3ajR48e3awW62YpMJ4pIKAMN3iZO8bw1pjFaE+MMgQtRawfx/6yjWxT5j5AQFnMP3WXFBhDAQFluEOUuWMMb00coJBm4ZaRZuGaxQJX2SbcNmXWTEAZbk/dIQXGUuDcc8+1n3/+WcpIASkgBaSAFBgvFejZs6etvfbaY7RdS97jpSuo0c1RIFaEMkY5McpAa5UT7nHSTJpVyQeq1JZYfVpb00xAGd5n6Y7xXIG29pDXM1eV2hKrk49VjmwT3tFIs3DN5M/SrKWeGwFlMV/SXeOxAi318OVJGKOcGGXEGrCqVo5sk/eEjP17aRauWaznRrYJt01b00xAGW5j3TGeK9DWHnJFKFveYWP4QIwyYsFErHKkWTFfj6FbjDJi+VmsctqaZgLKYs+f7hqPFXjsscesd+/era5AjHJilIFQKifcXaSZNKuSD1SpLbH6tLammYAyvM/SHVJACkgBKSAFpIAUkAIJBQSUcgcpIAWkgBSQAlJACkiBZikgoGyWfLp5fFbgn3/+sV9//dU6depUKhk+++wzm2GGGZrq9Pvvv1u7du1s4oknTq1nVjs4a3OSSSaxCSaYYIz7fvzxR5t88slbvc2UM9lkk7m6J1Ne+Wn1Dm1jSzXut99+s/bt29tEE03UlOUvv/zi/j3ppJMGtSvLjml65Nm8aPt++OEHm2KKKca4/euvv3Y/S7Yxr/wse4S0sWgbuO+vv/6yn376yTp37jxGNkXLD/G5PG2KtIvPAGIDfC2ZaCe/69q1a9OPs55rf0HIs9IafWCWbdL6g0bKD7FNnjahtqF+1HvKKcf8BGNWG/PKz/KdkDaGtiHkegFliFq6Vgr8fwUuvfRSO/PMM23GGWd0g9PQoUPH6LTHlVC33XabrbPOOkZH9vfff9v+++9vL774ovv3IossYuecc84YgJjWDgBuyy23tAknnNA+/PBDO/jgg2277baz559/3nbYYQebddZZ3c///e9/22KLLdbiTWUA3HnnnR20fvnll7bxxhs3VP5XX32VWu+QNrZUY+jgX331VTvkkEOcDTbYYAP7888/XTvQrkePHs4maPjaa6/V1RX/SrMjdq21x8ILL5xr8yJtfPfdd+3hhx+2008/3dWXRDu22morm3nmmW3UqFG29957u4OOi/gc30RutI3N9TnacOGFF9qSSy5pADIvPsw+++yFyg/xuaw21k7YQuzz0Ucf2Wabbeb6Hp5XnvEjjjiiKYsDDzzQ+eE999xjWXVNlhfyrLRGH5hmm27duqX2B3nlh9gmq88LsUXttcOHD7cjjzzS2YRJF362wAILuGeo1v+mnnrq1L7L55nVB3zzzTcN93nJSUVz2lXvXgFlaymrfCurAA830ZjvvvvOzTz32Wcfm3766a1fv37jtM0ffPCBHX744XbVVVc5oHzyySdtv/32s2eeecbVa+6557ZLLrnEll12Wff/rHbQuTKrPv74423kyJGubQDS+uuvbwcddJCtuuqqNmzYMNcpMlC1dLrsssvsjjvusOuuu86eeOIJ23777e2tt95y5dYr/6STThqr3t9//72zUa2tstpYGzUs2raXX37ZLr/8crv55pvt1FNPdUD5yCOPWP/+/d0LSqSVVlrJ9thjD7v44ovrtgsN0uw4cODAse47+uij69q8aHvQFjB56aWXmoASOF5jjTUc0DBgvvLKK9ahQ4dCPrfCCis03Mbm+Nwff/zh6kh0kpWF4447zr744gvbYostCpUf4nNZbfTPYxHbUH8mKvgC0XBWFD799FO3QnHLLbfYBRdc4J5zNEurK8+19/mQ/iDruWpOH5hlm0UXXXSs/oBJTV4fHGKb1ugPNt10Uzv22GNdvztgwADncyeeeGKq/xGYSOtzvW2y+oBHH3204T6vObZp1DcFlI0qpeukwP9X4P3337c+ffrYe++9535C1I+BlmjTuEoshay55poOYogYAZRETR9//HEbNGiQqxZAuNFGG9nWW2/t/p/VDjpX2rf55pvb6NGjXUSTtjIg0rGRP9Gx1Vdf3Q3GLZ0+//xzI9L2r3/9y8EXMEWkhXLrlb/TTjuNVe+HHnrIRfFqbZXVRiKHLZmIrhLFAygZsBn0WcYnuke0YsSIEQ7w67XryiuvTLUjcFp732mnnVbX5s1pG8AIePkI5dJLL+1sctddd9mKK65oJ598sj333HOFfA64TvPVtDY21+eIgBMtZOvByiuvbPvuu6+zTZHyQ3wuq43+eSxiG7bc4MsdO3Z0k5cDDjjAiCbzbO+2224uWgl0ApRpdeW58D4f0h9kPVfN7QPTbEO/U9sfbLjhhrl9cIhtWqs/oD3nnXeeezZ4TpZZZhm3BaHW/+67777UPtfbJqsPYNWgtq9uLds04p8CykZU0jVSIKEAA+smm2ziomakIUOGuOXAwYMHjzOdGBTpdInm0TkClIDkG2+84YCXtOOOO7qoWN++fd3/s9rBMiCza2CINO2009rTTz9tCy64oGszEcv//Oc/DjA//vjjFm8zgx+D7C677OLKZe8nS/nsEatXPnWurTeAjTa1tspq42yzzdai7UkCpc/42muvdUt4RBMBgLx2nX/++al2JLpZqwdRiHo2b07jaoESv8AHTjnlFOdjRIFZ3ivic1n3pbWxJXzuhRdecM/K/PPP7yaCRO7T6p1XfojP5WlT1DZE9oh8MZm46aabHLTwnNMubIKf8Uyl1ZXny/t8SH+Q9Vy1RB9Yaxsi+7X9wQknnJDbB4fYprX6A+ARmGS1BcD1UcLaNm6zzTapfa63TVYfQBS60T6vJWyT56MCyjyF9HspUKMAUQGWIoA24O2MM85wV7AHbFwklq2Iei2++OKu+Geffdb9m0737LPPdktfpHXXXdeOOuqopn2PWe1g6QXIITLIPj9m0wxMRKFoK0tQRKKOOeaYprxbst0M9PPMM48deuihbjmHuhCVAs7qlU99autNtBNtam2V1cbm7GdL06AWKLEJkWMmIQAGafnll6/bLiIO7LuqtSMwWqsHP0u7trn7Dv0EJBmh7Nmzp1vOZ9mbSBcgAyzXKz/L53r16tVwG70ORX3u/vvvd/vOeDZYrieFaJwsP8TnstrYHNsQ8QYomHQB9Uz2gMfVVlvN9QEsTb/99ttucsayatpz7X0+pD/Ieq6a2wem2SatPyDCz17uen1wiG1auj+g32QrC7qjLzbZfffd3XOS1sa0utLnettk+Sdbgxrt85prm0aeNwFlIyrpGilQo8BCCy1kzBpZtqTzZg8Te/zGRWJZmmUun+aaay578803jY3eLJnQ+bJ5mwGN6A4ASgfK3p60djBInXvuua4TvP76691Az35Mlp2nmWYa96IJexkBNfYItXQCUoiAslRE3Xl5gn1hAGZa+U899ZSLnrJslFbvkDa2dFuSQPn666+7yBEDfPKtzyxdiZgB8+wV6969+1h2ZBCq1YNJQNq1tW+ZFmlnbYSSiDdRSiCZJbm7777bvaiWVn6ezzFJabSNzfE5nhW0wFeWWGKJJhnYAxpSfhGfy2pjc2xz0UUXueh9EnJZyud5IbEVh+eX55ioWNrzwakQ/6+9uwm16Y3CAH6KAZndkSITTJCPoigMSKmrJJ9l4CNFISOFIopSRoaSFAMGPgY+SyhRTFBMjEhGFCVJGdDvrfd2bHvfe+65955z7rlr1e3/d84++13v8+6zz7Oftd61mrkfDPc9sGptqu4H8Czegz3U+N4g0zBp5/2Af5RjvwtyWaWnUHbLrr8qXwe6B4iMNTrHVvw+BaFs5s4anxnzCLgB5NBxb29v2ghTLG/TLpByyNt/Dx06lG66fjDcePbu3Zt+9KmYlLKyeSCU8jERIKrFgwcPEqnLKpR5KbeCZPb09Az7NKmRdqpTQRhVVYi4anzz5KvwUJnfg5njcE8GoXSdyF+12YjaUm9CrRRKP4RFXCnKcDD3snWswqPs2OGYV5FQIv1CwnIqp06dmq4zDy3NXHNV1+pwX3MevGbOnPkPHNu2bUtrMxiMm7nmquY4lLVxPfG93jyw5DnakCeP0sOh73LZ96PZ+8Fw3wOr1sbu6LL7Qdn4KlHIvRbCrppvq+4HN2/eTA/eUhLsVEf+kcmy6096UtnaDHQPGMwcW/H7FIRyKN/m+OyYRoASIKQkzNTJpnyGkFiuH+jGjUzaeciq5kHNnDx58j/1BW1eoGjYjDHSNyjjKHVRX9+wbHxhJfljuTZmmd+DmWM71rJsXlQ/+Eu6Z8V19FrVepQdO1LzMhaltN6aveYGM8eRmE+j4w/lmmvl2pRhVPx+DOV+0Mp7YNn9oDi+f6u6UZ8v2M77gZC8Shn1dYH7u26LvjZyD3C+wcxxJL43+ZxBKEcS3Th3INCBCChpQ80bSqitk6Yl7GNzSLeZkiB2gA93Xmc7cIprrh2oNzZmN60N8uYhXzpPN9houwcEoeyGqy7mEAgEAoFAIBAIBAKBQBsRCELZRvBj6EAgEAgEAoFAIBAIBLoBgSCU3bCKMYdAIBAIBAKBQCAQCATaiEAQyjaCH0MHAoFAIBAIBAKBQCDQDQgEoeyGVYw5BAKBQMcgkHd2KhUyfvz4jvGLIwoua9Np13+7fbNr1w5+O/nDWo/A58+fU1/pss15qgco26WCRbuvk9YjEyM2i0AQymaRi88FAoFAIFBAQOca3Wqybd++PRVo11mpE+zOnTu1NWvW1K5fv17TD7kdpsCzVnrqWDIdmBRkX7t2bTvcSWO+efMm1WTVAk9JrEZMJxOF5/meu2X5nHlNnz49tdw7ePBgI6f67xglvtSOrTf1MtX67O9aunfvXqpnqK+3GoZVptarklSK0ZcVvFY70RzU5lS7NiwQaASBIJSNoBTHBAKBQCAwAAIKGSNpinwjkjdu3EgF13WUaUUf3UYWSOeNS5cupdaDujy12j59+tRH2HTYUSA/t9hUn1F3p3bYlStXEibPnj3rKzI/kB+ZUO7fvz+1ccymGPuMGTNqCnLrKtWMIZQTJ05M19Hv379rHgQULNf1pr8WeplQ6undH0Hns/7SVOJx48aVuqgTky41Hz9+TOsUFggMhEAQyoEQivcDgUAgEGgAAa38dCDS51zbNeFl6g/i8eLFi1TgWGcZfXmRhZ07d6Z+6N++fUuqoW5EagJSj44ePZrUIx1OEAPKlI5FitFr9UlN03FDJ47FixenH30FnXUv0uN4165dqY8wUnPr1q2kWiEZCsBr9Xj69OmkDJ48eTIVuRfipGh5X91LxApxMR+tPPmj48+TJ0/SmFpI3r9/P6llR44cSZ1M+G0+165dSz7o8OOv3hCsM2fO/EOMzBHhplo6j0Lb5ssv9QR1ctH33PvSCRg/YKt/NR/8mxIMW/Py/8y84fX06dOEybJly/7DSeF4/cgRNuPoR87KfNDSVE9mDwq6H+l+UkUozeXLly81oWVjHz58uKYXuiLUjx8/TuF+52DWpt4QSv3sdbphjx49qq1cubK2Z8+etBY+h2y6nqyvdpTa+1mDvNauKUTZ61qYWj/HSXnQNhWRdx1UrZuHj1mzZqU5Ftexga9DHDIGEQhCOQYXPaYcCAQCw4sAokPp0a0HgSwrRr5169bUotMPOWIiLEklWrJkSVLtfBZpQmQYIklBQuru3r1b02/a+0z4U19geZpy3YQlEQcK1sOHD5OihWQKu2q5yRCKLVu29IW85c8hHUgg/48fP54IyMaNG/s6e+zbty8RRG0XqYta2/GLr8iNMeVAIoHCo8ZzDuqs/tHv379PRfSzIUXIEbKCMDlvDu3qC07ZQ1YRNoT2/PnziZSZo/aUjkfUGCJlLHPgjyLwq1evToQLidTWcsqUKelYPe2RVngXcRLuRlovXLiQ1gbpXb9+fakP1tC6UZ2Rd35WEUrjOg/CbI5891n+wUDvcH9w0/O5SCjlNloTDybw9IBhLXJPcC0VEcTc0lOBfz3TM6GkKiLXiKcHGO39EEg4Idb6mVsPc65aN9clwn3x4sXh/cLE2boSgSCUXbmsMalAIBBoJQLCkja6IC5CnkX78eNHIj2bNm1KCpgevJQ15Azh88Mt384PO4KEEDonVRJBEKbW6hKhRCoQFWoitRCx0foQ6UA6vS+PD7EUhnf+HMqtz6HMhAcppdDxxdhyHBERxGv37t3ps0uXLk1hXcqj47SEQ668T8Ey7okTJ9IxVC1Eha/ITz25ziquHD0KnfM6P8vqGxJIdV21alVSHHULEcpFfL5+/ZoUPmSZL9RWyi5c/VE0kR/k9927d+nfvb29SQG0uQTxLcOJSpdD3ghwmQ+wXLduXSJoxkDI+FhFKBFiBN8DgXkL8SPrlGV5tgg1FZkqPXfu3P8IZTGHklJMsaRoI6IDEUr+WXu4edgx/qJFi2qbN29O140e7NbqwIEDletmfZD5smu6ld+vGGt0IBCEcnSsU3gZCAQCHY6ATQyInD8/+IyShRggWnbM5nxKIeaenp5EuC5fvpwIZSYIGzZsSJtm/vz5k9QtaptjGJKW8+MomZRJ4VxhZOoXEoNwUK3qCeX3798Toa0nlELcFD4E1+vMeZAw7xmTqvnq1asUCqaGIT4IJcUUCUWmkBaEEmmhgt2+fbuPJD5//jwRvmzmTzkUoqaSISv8RwYRSuMhMVQ0SmU2JAiBpaoiVT6nPzJCKe9S2B0hROiz2WCDhAk1I1NMqLgMp3pCCfcyH5YvX57C7HkTTs6VrCKUOaT89u3blK9KCaZOUqQR3gULFiSihtgVrT7kjXxTMW388bCAFCLT+fzC+5TkokLpdQ8kjkPemQcP1x5CmYmsVoVV64YIW9sglB1+8+kQ94JQdshChBuBQCAwuhHIP+xIjB94eXJULUQACaE0Ik+IoFCpMOe5c+fS64MhlMgWVQkBRayodsgpEouIUg2FVClUyCfCRyGdNGnSP4RS2Nk5+EildF6kTGhY+JmSduzYsaTGIWGID4WvilAKp8vVQ0TljMrpLObfITHz589P5Bb55TeyjYQjlKdOnUoEEYaI59WrV9O5jC+cXUYokTykm+/mbiMJNdK8KY2ZqLu6ELUynOQ5+rzP2FiFrJb5YO7mSB0WchdCryKUMOULfP1RKhcuXJgw4Wcm8Mhdf4TSe+aPDPOPqkkN5x+yCDP4FQmlXF45slRvDwn+3zmoz9ZaSoKHF/iVrRvy7yGhkzaVje47RPd7H4Sy+9c4ZhgIBAItQIDyQ8WjRGUT4hSunjBhQtqsI/yKvDDhUj/qyJ6d4Zn4UOu8XqVQUgtfvnyZzoHE2piBNCAX+byUKRtWhH3LCKWwL+VQPmI+l/PKy5wzZ05fXl6eRw7H2wyEVAlBI3hIo3GoWK9fv065ndQ3Zq4IV7HMjXNQInNIlw+wo7pRyhA1uYPZL+RNiHjevHl9hNIGJ4ovhRJps/lIeBm2yCoiLaRcJJRVOFkLyh+fzENIvcyHvIva/FasWJGIOwzOnj3bt+a5bBA1V94kQ1ZdBwia3ey59iYiN23atFJCOXv27JTOwKQhIIE53J7zHr1H6ZUWQPV1LeWyQRRe+MhDZfyBrbGtSVZMzaFs3awp3xD7HTt2tOAbFEOMdgSCUI72FQz/A4FAoKMQ+PXrV9qMIrxYLNptgwUSQS2kAg7G5C0KeSMZ1ClqnfNkE+qmzCFUg7HsD3/rzTy8R61r9JzmR8WkuPZXL9EmoA8fPiQ1sqywNj+QOj41WsPT2D5j7P6KcVfhJGcVIaNi5lI6ZT78/PkzqcIeAgYyGDqeEptN+oHPyhOV0tCs8VVebf01UHau7C9y7XhGhRXGRp69VrZuOaXCA0Le3NSsr/G5sYFAEMqxsc4xy0AgEBjlCNQTSmQkbPQhkHM/eS7XlIrbDqNcU3BzLmzRB+RaPqrSVjZbhQV4EN7xAAAAiUlEQVQCjSAQhLIRlOKYQCAQCATajIASQjZ42CgRhabbvBhNDm93v7C5XMqyUHeTp23qY5Rk5YTK1EfKqhxbYXf5mmGBQCMIBKFsBKU4JhAIBAKBQCAQCAQCgUCgEoEglHFxBAKBQCAQCAQCgUAgEAgMCYEglEOCLz4cCAQCgUAgEAgEAoFAIPAXmXY7A1cGaV4AAAAASUVORK5CYII=", "text/plain": [ "\n", "\n", "If you see this message, it means the renderer has not been properly enabled\n", "for the frontend that you are using. For more information, see\n", "https://altair-viz.github.io/user_guide/troubleshooting.html\n" ] }, "execution_count": 3, "metadata": {}, "output_type": "execute_result" } ], "source": [ "linker.cumulative_num_comparisons_from_blocking_rules_chart()" ] }, { "cell_type": "code", "execution_count": 4, "metadata": {}, "outputs": [], "source": [ "import splink.duckdb.duckdb_comparison_library as cl\n", "\n", "settings = {\n", " \"link_type\": \"dedupe_only\",\n", " \"blocking_rules_to_generate_predictions\": [\n", " \"l.first_name = r.first_name and l.surname = r.surname\",\n", " \"l.surname = r.surname and l.dob = r.dob\",\n", " \"l.first_name = r.first_name and l.dob = r.dob\",\n", " \"l.postcode_fake = r.postcode_fake and l.first_name = r.first_name\",\n", " ],\n", " \"comparisons\": [\n", " cl.jaro_winkler_at_thresholds(\"first_name\", [0.9, 0.7], term_frequency_adjustments=True),\n", " cl.jaro_winkler_at_thresholds(\"surname\", [0.9, 0.7], term_frequency_adjustments=True),\n", " cl.levenshtein_at_thresholds(\"dob\", [1,2], term_frequency_adjustments=True),\n", " cl.levenshtein_at_thresholds(\"postcode_fake\", 2,term_frequency_adjustments=True),\n", " cl.exact_match(\"birth_place\", term_frequency_adjustments=True),\n", " cl.exact_match(\"occupation\", term_frequency_adjustments=True),\n", " ],\n", " \"retain_matching_columns\": True,\n", " \"retain_intermediate_calculation_columns\": True,\n", " \"max_iterations\": 10,\n", " \"em_convergence\": 0.01\n", "}\n", "\n", "linker = DuckDBLinker(df, settings, connection=\":temporary:\")" ] }, { "cell_type": "code", "execution_count": 5, "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "Probability two random records match is estimated to be 0.000136.\n", "This means that amongst all possible pairwise record comparisons, one in 7,362.31 are expected to match. With 1,279,041,753 total possible comparisons, we expect a total of around 173,728.33 matching pairs\n" ] } ], "source": [ "linker.estimate_probability_two_random_records_match(\n", " [\n", " \"l.first_name = r.first_name and l.surname = r.surname and l.dob = r.dob\",\n", " \"substr(l.first_name,1,2) = substr(r.first_name,1,2) and l.surname = r.surname and substr(l.postcode_fake,1,2) = substr(r.postcode_fake,1,2)\",\n", " \"l.dob = r.dob and l.postcode_fake = r.postcode_fake\",\n", " ],\n", " recall=0.6,\n", ")" ] }, { "cell_type": "code", "execution_count": 6, "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "----- Estimating u probabilities using random sampling -----\n", "\n", "Estimated u probabilities using random sampling\n", "\n", "Your model is not yet fully trained. Missing estimates for:\n", " - first_name (no m values are trained).\n", " - surname (no m values are trained).\n", " - dob (no m values are trained).\n", " - postcode_fake (no m values are trained).\n", " - birth_place (no m values are trained).\n", " - occupation (no m values are trained).\n" ] } ], "source": [ "linker.estimate_u_using_random_sampling(max_pairs=5e6)" ] }, { "cell_type": "code", "execution_count": 7, "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "\n", "----- Starting EM training session -----\n", "\n", "Estimating the m probabilities of the model by blocking on:\n", "l.first_name = r.first_name and l.surname = r.surname\n", "\n", "Parameter estimates will be made for the following comparison(s):\n", " - dob\n", " - postcode_fake\n", " - birth_place\n", " - occupation\n", "\n", "Parameter estimates cannot be made for the following comparison(s) since they are used in the blocking rules: \n", " - first_name\n", " - surname\n", "\n", "Iteration 1: Largest change in params was -0.524 in probability_two_random_records_match\n", "Iteration 2: Largest change in params was -0.0339 in probability_two_random_records_match\n", "Iteration 3: Largest change in params was 0.0119 in the m_probability of birth_place, level `Exact match`\n", "Iteration 4: Largest change in params was 0.00374 in the m_probability of birth_place, level `Exact match`\n", "\n", "EM converged after 4 iterations\n", "\n", "Your model is not yet fully trained. Missing estimates for:\n", " - first_name (no m values are trained).\n", " - surname (no m values are trained).\n" ] } ], "source": [ "blocking_rule = \"l.first_name = r.first_name and l.surname = r.surname\"\n", "training_session_names = linker.estimate_parameters_using_expectation_maximisation(blocking_rule)" ] }, { "cell_type": "code", "execution_count": 8, "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "\n", "----- Starting EM training session -----\n", "\n", "Estimating the m probabilities of the model by blocking on:\n", "l.dob = r.dob\n", "\n", "Parameter estimates will be made for the following comparison(s):\n", " - first_name\n", " - surname\n", " - postcode_fake\n", " - birth_place\n", " - occupation\n", "\n", "Parameter estimates cannot be made for the following comparison(s) since they are used in the blocking rules: \n", " - dob\n", "\n", "Iteration 1: Largest change in params was -0.362 in the m_probability of first_name, level `Exact match`\n", "Iteration 2: Largest change in params was -0.0302 in the m_probability of first_name, level `Exact match`\n", "Iteration 3: Largest change in params was 0.00453 in the m_probability of first_name, level `All other comparisons`\n", "\n", "EM converged after 3 iterations\n", "\n", "Your model is fully trained. All comparisons have at least one estimate for their m and u values\n" ] } ], "source": [ "blocking_rule = \"l.dob = r.dob\"\n", "training_session_dob = linker.estimate_parameters_using_expectation_maximisation(blocking_rule)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "The final match weights can be viewed in the match weights chart:" ] }, { "cell_type": "code", "execution_count": 9, "metadata": {}, "outputs": [ { "data": { "application/vnd.vegalite.v4+json": { "$schema": "https://vega.github.io/schema/vega-lite/v5.2.json", "config": { "header": { "title": null }, "mark": { "tooltip": null }, "title": { "anchor": "middle" }, "view": { "height": 60, "width": 400 } }, "data": { "values": [ { "bayes_factor": 0.00013584539607096294, "bayes_factor_description": "The probability that two random records drawn at random match is 0.000 or one in 7,362.3 records.This is equivalent to a starting match weight of -12.846.", "comparison_name": "probability_two_random_records_match", "comparison_sort_order": -1, "comparison_vector_value": 0, "has_tf_adjustments": false, "is_null_level": false, "label_for_charts": "", "log2_bayes_factor": -12.845746707461347, "m_probability": null, "m_probability_description": null, "max_comparison_vector_value": 0, "probability_two_random_records_match": 0.00013582694460587586, "sql_condition": null, "tf_adjustment_column": null, "tf_adjustment_weight": null, "u_probability": null, "u_probability_description": null }, { "bayes_factor": 44.38069517984217, "bayes_factor_description": "If comparison level is `exact match` then comparison is 44.38 times more likely to be a match", "comparison_name": "first_name", "comparison_sort_order": 0, "comparison_vector_value": 3, "has_tf_adjustments": true, "is_null_level": false, "label_for_charts": "Exact match", "log2_bayes_factor": 5.471860360994973, "m_probability": 0.5538271289013507, "m_probability_description": "Amongst matching record comparisons, 55.38% of records are in the exact match comparison level", "max_comparison_vector_value": 3, "probability_two_random_records_match": 0.00013582694460587586, "sql_condition": "\"first_name_l\" = \"first_name_r\"", "tf_adjustment_column": "first_name", "tf_adjustment_weight": 1, "u_probability": 0.012479009773440873, "u_probability_description": "Amongst non-matching record comparisons, 1.25% of records are in the exact match comparison level" }, { "bayes_factor": 21.040435692945394, "bayes_factor_description": "If comparison level is `jaro_winkler_similarity >= 0.9` then comparison is 21.04 times more likely to be a match", "comparison_name": "first_name", "comparison_sort_order": 0, "comparison_vector_value": 2, "has_tf_adjustments": false, "is_null_level": false, "label_for_charts": "jaro_winkler_similarity >= 0.9", "log2_bayes_factor": 4.39509267430577, "m_probability": 0.10022121058065445, "m_probability_description": "Amongst matching record comparisons, 10.02% of records are in the jaro_winkler_similarity >= 0.9 comparison level", "max_comparison_vector_value": 3, "probability_two_random_records_match": 0.00013582694460587586, "sql_condition": "jaro_winkler_similarity(\"first_name_l\", \"first_name_r\") >= 0.9", "tf_adjustment_column": null, "tf_adjustment_weight": 1, "u_probability": 0.00476326688492755, "u_probability_description": "Amongst non-matching record comparisons, 0.48% of records are in the jaro_winkler_similarity >= 0.9 comparison level" }, { "bayes_factor": 7.060638332116495, "bayes_factor_description": "If comparison level is `jaro_winkler_similarity >= 0.7` then comparison is 7.06 times more likely to be a match", "comparison_name": "first_name", "comparison_sort_order": 0, "comparison_vector_value": 1, "has_tf_adjustments": false, "is_null_level": false, "label_for_charts": "jaro_winkler_similarity >= 0.7", "log2_bayes_factor": 2.819798619324904, "m_probability": 0.15851292732703254, "m_probability_description": "Amongst matching record comparisons, 15.85% of records are in the jaro_winkler_similarity >= 0.7 comparison level", "max_comparison_vector_value": 3, "probability_two_random_records_match": 0.00013582694460587586, "sql_condition": "jaro_winkler_similarity(\"first_name_l\", \"first_name_r\") >= 0.7", "tf_adjustment_column": null, "tf_adjustment_weight": 1, "u_probability": 0.022450226151084662, "u_probability_description": "Amongst non-matching record comparisons, 2.25% of records are in the jaro_winkler_similarity >= 0.7 comparison level" }, { "bayes_factor": 0.19518616041146056, "bayes_factor_description": "If comparison level is `all other comparisons` then comparison is 5.12 times less likely to be a match", "comparison_name": "first_name", "comparison_sort_order": 0, "comparison_vector_value": 0, "has_tf_adjustments": false, "is_null_level": false, "label_for_charts": "All other comparisons", "log2_bayes_factor": -2.3570773320151908, "m_probability": 0.1874387331909623, "m_probability_description": "Amongst matching record comparisons, 18.74% of records are in the all other comparisons comparison level", "max_comparison_vector_value": 3, "probability_two_random_records_match": 0.00013582694460587586, "sql_condition": "ELSE", "tf_adjustment_column": null, "tf_adjustment_weight": 1, "u_probability": 0.9603074971905469, "u_probability_description": "Amongst non-matching record comparisons, 96.03% of records are in the all other comparisons comparison level" }, { "bayes_factor": 1005.2488816535835, "bayes_factor_description": "If comparison level is `exact match` then comparison is 1,005.25 times more likely to be a match", "comparison_name": "surname", "comparison_sort_order": 1, "comparison_vector_value": 3, "has_tf_adjustments": true, "is_null_level": false, "label_for_charts": "Exact match", "log2_bayes_factor": 9.973337015792923, "m_probability": 0.7826404106098656, "m_probability_description": "Amongst matching record comparisons, 78.26% of records are in the exact match comparison level", "max_comparison_vector_value": 3, "probability_two_random_records_match": 0.00013582694460587586, "sql_condition": "\"surname_l\" = \"surname_r\"", "tf_adjustment_column": "surname", "tf_adjustment_weight": 1, "u_probability": 0.0007785538734670978, "u_probability_description": "Amongst non-matching record comparisons, 0.08% of records are in the exact match comparison level" }, { "bayes_factor": 243.4504023819883, "bayes_factor_description": "If comparison level is `jaro_winkler_similarity >= 0.9` then comparison is 243.45 times more likely to be a match", "comparison_name": "surname", "comparison_sort_order": 1, "comparison_vector_value": 2, "has_tf_adjustments": false, "is_null_level": false, "label_for_charts": "jaro_winkler_similarity >= 0.9", "log2_bayes_factor": 7.927484074912549, "m_probability": 0.11770557106826374, "m_probability_description": "Amongst matching record comparisons, 11.77% of records are in the jaro_winkler_similarity >= 0.9 comparison level", "max_comparison_vector_value": 3, "probability_two_random_records_match": 0.00013582694460587586, "sql_condition": "jaro_winkler_similarity(\"surname_l\", \"surname_r\") >= 0.9", "tf_adjustment_column": null, "tf_adjustment_weight": 1, "u_probability": 0.0004834889156748101, "u_probability_description": "Amongst non-matching record comparisons, 0.05% of records are in the jaro_winkler_similarity >= 0.9 comparison level" }, { "bayes_factor": 2.271079972373538, "bayes_factor_description": "If comparison level is `jaro_winkler_similarity >= 0.7` then comparison is 2.27 times more likely to be a match", "comparison_name": "surname", "comparison_sort_order": 1, "comparison_vector_value": 1, "has_tf_adjustments": false, "is_null_level": false, "label_for_charts": "jaro_winkler_similarity >= 0.7", "log2_bayes_factor": 1.1833785090898485, "m_probability": 0.04031197252970222, "m_probability_description": "Amongst matching record comparisons, 4.03% of records are in the jaro_winkler_similarity >= 0.7 comparison level", "max_comparison_vector_value": 3, "probability_two_random_records_match": 0.00013582694460587586, "sql_condition": "jaro_winkler_similarity(\"surname_l\", \"surname_r\") >= 0.7", "tf_adjustment_column": null, "tf_adjustment_weight": 1, "u_probability": 0.017750133425540097, "u_probability_description": "Amongst non-matching record comparisons, 1.78% of records are in the jaro_winkler_similarity >= 0.7 comparison level" }, { "bayes_factor": 0.06049213288212546, "bayes_factor_description": "If comparison level is `all other comparisons` then comparison is 16.53 times less likely to be a match", "comparison_name": "surname", "comparison_sort_order": 1, "comparison_vector_value": 0, "has_tf_adjustments": false, "is_null_level": false, "label_for_charts": "All other comparisons", "log2_bayes_factor": -4.047108660444462, "m_probability": 0.059342045792168535, "m_probability_description": "Amongst matching record comparisons, 5.93% of records are in the all other comparisons comparison level", "max_comparison_vector_value": 3, "probability_two_random_records_match": 0.00013582694460587586, "sql_condition": "ELSE", "tf_adjustment_column": null, "tf_adjustment_weight": 1, "u_probability": 0.980987823785318, "u_probability_description": "Amongst non-matching record comparisons, 98.10% of records are in the all other comparisons comparison level" }, { "bayes_factor": 300.62635442082427, "bayes_factor_description": "If comparison level is `exact match` then comparison is 300.63 times more likely to be a match", "comparison_name": "dob", "comparison_sort_order": 2, "comparison_vector_value": 3, "has_tf_adjustments": true, "is_null_level": false, "label_for_charts": "Exact match", "log2_bayes_factor": 8.231827678488772, "m_probability": 0.6186180786212699, "m_probability_description": "Amongst matching record comparisons, 61.86% of records are in the exact match comparison level", "max_comparison_vector_value": 3, "probability_two_random_records_match": 0.00013582694460587586, "sql_condition": "\"dob_l\" = \"dob_r\"", "tf_adjustment_column": "dob", "tf_adjustment_weight": 1, "u_probability": 0.002057763963552287, "u_probability_description": "Amongst non-matching record comparisons, 0.21% of records are in the exact match comparison level" }, { "bayes_factor": 16.304853457109424, "bayes_factor_description": "If comparison level is `levenshtein <= 1` then comparison is 16.30 times more likely to be a match", "comparison_name": "dob", "comparison_sort_order": 2, "comparison_vector_value": 2, "has_tf_adjustments": false, "is_null_level": false, "label_for_charts": "levenshtein <= 1", "log2_bayes_factor": 4.027229569543101, "m_probability": 0.3414724371674664, "m_probability_description": "Amongst matching record comparisons, 34.15% of records are in the levenshtein <= 1 comparison level", "max_comparison_vector_value": 3, "probability_two_random_records_match": 0.00013582694460587586, "sql_condition": "levenshtein(\"dob_l\", \"dob_r\") <= 1", "tf_adjustment_column": null, "tf_adjustment_weight": 1, "u_probability": 0.020942993328073964, "u_probability_description": "Amongst non-matching record comparisons, 2.09% of records are in the levenshtein <= 1 comparison level" }, { "bayes_factor": 0.46802703213464314, "bayes_factor_description": "If comparison level is `levenshtein <= 2` then comparison is 2.14 times less likely to be a match", "comparison_name": "dob", "comparison_sort_order": 2, "comparison_vector_value": 1, "has_tf_adjustments": false, "is_null_level": false, "label_for_charts": "levenshtein <= 2", "log2_bayes_factor": -1.0953362360181613, "m_probability": 0.03709002973365086, "m_probability_description": "Amongst matching record comparisons, 3.71% of records are in the levenshtein <= 2 comparison level", "max_comparison_vector_value": 3, "probability_two_random_records_match": 0.00013582694460587586, "sql_condition": "levenshtein(\"dob_l\", \"dob_r\") <= 2", "tf_adjustment_column": null, "tf_adjustment_weight": 1, "u_probability": 0.07924762286589615, "u_probability_description": "Amongst non-matching record comparisons, 7.92% of records are in the levenshtein <= 2 comparison level" }, { "bayes_factor": 0.003140572977309164, "bayes_factor_description": "If comparison level is `all other comparisons` then comparison is 318.41 times less likely to be a match", "comparison_name": "dob", "comparison_sort_order": 2, "comparison_vector_value": 0, "has_tf_adjustments": false, "is_null_level": false, "label_for_charts": "All other comparisons", "log2_bayes_factor": -8.314756491114903, "m_probability": 0.0028194544776128146, "m_probability_description": "Amongst matching record comparisons, 0.28% of records are in the all other comparisons comparison level", "max_comparison_vector_value": 3, "probability_two_random_records_match": 0.00013582694460587586, "sql_condition": "ELSE", "tf_adjustment_column": null, "tf_adjustment_weight": 1, "u_probability": 0.8977516198424776, "u_probability_description": "Amongst non-matching record comparisons, 89.78% of records are in the all other comparisons comparison level" }, { "bayes_factor": 5217.787373489478, "bayes_factor_description": "If comparison level is `exact match` then comparison is 5,217.79 times more likely to be a match", "comparison_name": "postcode_fake", "comparison_sort_order": 3, "comparison_vector_value": 2, "has_tf_adjustments": true, "is_null_level": false, "label_for_charts": "Exact match", "log2_bayes_factor": 12.349222439729221, "m_probability": 0.6886356891788876, "m_probability_description": "Amongst matching record comparisons, 68.86% of records are in the exact match comparison level", "max_comparison_vector_value": 2, "probability_two_random_records_match": 0.00013582694460587586, "sql_condition": "\"postcode_fake_l\" = \"postcode_fake_r\"", "tf_adjustment_column": "postcode_fake", "tf_adjustment_weight": 1, "u_probability": 0.0001319784881763688, "u_probability_description": "Amongst non-matching record comparisons, 0.01% of records are in the exact match comparison level" }, { "bayes_factor": 257.9570279687483, "bayes_factor_description": "If comparison level is `levenshtein <= 2` then comparison is 257.96 times more likely to be a match", "comparison_name": "postcode_fake", "comparison_sort_order": 3, "comparison_vector_value": 1, "has_tf_adjustments": false, "is_null_level": false, "label_for_charts": "levenshtein <= 2", "log2_bayes_factor": 8.010986942632977, "m_probability": 0.14283253545492916, "m_probability_description": "Amongst matching record comparisons, 14.28% of records are in the levenshtein <= 2 comparison level", "max_comparison_vector_value": 2, "probability_two_random_records_match": 0.00013582694460587586, "sql_condition": "levenshtein(\"postcode_fake_l\", \"postcode_fake_r\") <= 2", "tf_adjustment_column": null, "tf_adjustment_weight": 1, "u_probability": 0.0005537067029328367, "u_probability_description": "Amongst non-matching record comparisons, 0.06% of records are in the levenshtein <= 2 comparison level" }, { "bayes_factor": 0.16864741440075676, "bayes_factor_description": "If comparison level is `all other comparisons` then comparison is 5.93 times less likely to be a match", "comparison_name": "postcode_fake", "comparison_sort_order": 3, "comparison_vector_value": 0, "has_tf_adjustments": false, "is_null_level": false, "label_for_charts": "All other comparisons", "log2_bayes_factor": -2.5679178948817563, "m_probability": 0.1685317753661833, "m_probability_description": "Amongst matching record comparisons, 16.85% of records are in the all other comparisons comparison level", "max_comparison_vector_value": 2, "probability_two_random_records_match": 0.00013582694460587586, "sql_condition": "ELSE", "tf_adjustment_column": null, "tf_adjustment_weight": 1, "u_probability": 0.9993143148088908, "u_probability_description": "Amongst non-matching record comparisons, 99.93% of records are in the all other comparisons comparison level" }, { "bayes_factor": 178.56525666145384, "bayes_factor_description": "If comparison level is `exact match` then comparison is 178.57 times more likely to be a match", "comparison_name": "birth_place", "comparison_sort_order": 4, "comparison_vector_value": 1, "has_tf_adjustments": true, "is_null_level": false, "label_for_charts": "Exact match", "log2_bayes_factor": 7.480307593200203, "m_probability": 0.8461798450274334, "m_probability_description": "Amongst matching record comparisons, 84.62% of records are in the exact match comparison level", "max_comparison_vector_value": 1, "probability_two_random_records_match": 0.00013582694460587586, "sql_condition": "\"birth_place_l\" = \"birth_place_r\"", "tf_adjustment_column": "birth_place", "tf_adjustment_weight": 1, "u_probability": 0.004738770916851569, "u_probability_description": "Amongst non-matching record comparisons, 0.47% of records are in the exact match comparison level" }, { "bayes_factor": 0.15455254407354788, "bayes_factor_description": "If comparison level is `all other comparisons` then comparison is 6.47 times less likely to be a match", "comparison_name": "birth_place", "comparison_sort_order": 4, "comparison_vector_value": 0, "has_tf_adjustments": false, "is_null_level": false, "label_for_charts": "All other comparisons", "log2_bayes_factor": -2.693830692440934, "m_probability": 0.15382015497256674, "m_probability_description": "Amongst matching record comparisons, 15.38% of records are in the all other comparisons comparison level", "max_comparison_vector_value": 1, "probability_two_random_records_match": 0.00013582694460587586, "sql_condition": "ELSE", "tf_adjustment_column": null, "tf_adjustment_weight": 1, "u_probability": 0.9952612290831484, "u_probability_description": "Amongst non-matching record comparisons, 99.53% of records are in the all other comparisons comparison level" }, { "bayes_factor": 22.786409000874144, "bayes_factor_description": "If comparison level is `exact match` then comparison is 22.79 times more likely to be a match", "comparison_name": "occupation", "comparison_sort_order": 5, "comparison_vector_value": 1, "has_tf_adjustments": true, "is_null_level": false, "label_for_charts": "Exact match", "log2_bayes_factor": 4.510101677461878, "m_probability": 0.8984037058710215, "m_probability_description": "Amongst matching record comparisons, 89.84% of records are in the exact match comparison level", "max_comparison_vector_value": 1, "probability_two_random_records_match": 0.00013582694460587586, "sql_condition": "\"occupation_l\" = \"occupation_r\"", "tf_adjustment_column": "occupation", "tf_adjustment_weight": 1, "u_probability": 0.03942717370852759, "u_probability_description": "Amongst non-matching record comparisons, 3.94% of records are in the exact match comparison level" }, { "bayes_factor": 0.10576636289120936, "bayes_factor_description": "If comparison level is `all other comparisons` then comparison is 9.45 times less likely to be a match", "comparison_name": "occupation", "comparison_sort_order": 5, "comparison_vector_value": 0, "has_tf_adjustments": false, "is_null_level": false, "label_for_charts": "All other comparisons", "log2_bayes_factor": -3.241047217964457, "m_probability": 0.10159629412897848, "m_probability_description": "Amongst matching record comparisons, 10.16% of records are in the all other comparisons comparison level", "max_comparison_vector_value": 1, "probability_two_random_records_match": 0.00013582694460587586, "sql_condition": "ELSE", "tf_adjustment_column": null, "tf_adjustment_weight": 1, "u_probability": 0.9605728262914724, "u_probability_description": "Amongst non-matching record comparisons, 96.06% of records are in the all other comparisons comparison level" } ] }, "resolve": { "axis": { "y": "independent" }, "scale": { "y": "independent" } }, "selection": { "zoom_selector": { "bind": "scales", "encodings": [ "x" ], "type": "interval" } }, "title": { "subtitle": "Use mousewheel to zoom", "text": "Model parameters (components of final match weight)" }, "vconcat": [ { "encoding": { "color": { "field": "log2_bayes_factor", "scale": { "domain": [ -10, 0, 10 ], "range": [ "red", "orange", "green" ] }, "title": "Match weight", "type": "quantitative" }, "tooltip": [ { "field": "comparison_name", "title": "Comparison name", "type": "nominal" }, { "field": "probability_two_random_records_match", "format": ".4f", "title": "Probability two random records match", "type": "nominal" }, { "field": "log2_bayes_factor", "format": ",.4f", "title": "Equivalent match weight", "type": "quantitative" }, { "field": "bayes_factor_description", "title": "Match weight description", "type": "nominal" } ], "x": { "axis": { "domain": false, "labels": false, "ticks": false, "title": "" }, "field": "log2_bayes_factor", "scale": { "domain": [ -10, 10 ] }, "type": "quantitative" }, "y": { "axis": { "title": "Prior (starting) 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", "text/plain": [ "\n", "\n", "If you see this message, it means the renderer has not been properly enabled\n", "for the frontend that you are using. For more information, see\n", "https://altair-viz.github.io/user_guide/troubleshooting.html\n" ] }, "execution_count": 9, "metadata": {}, "output_type": "execute_result" } ], "source": [ "linker.match_weights_chart()" ] }, { "cell_type": "code", "execution_count": 10, "metadata": {}, "outputs": [ { "data": { "application/vnd.vegalite.v4+json": { "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json", "config": { "view": { "continuousHeight": 300, "continuousWidth": 400 } }, "data": { "values": [ { "cum_prop": 3.9542883314425126e-05, "match_probability": 0.00014, "match_weight": -12.85, "prop": 3.9542883314425126e-05 }, { "cum_prop": 9.885721010505222e-05, "match_probability": 0.00139, "match_weight": -9.49, "prop": 5.931432679062709e-05 }, { "cum_prop": 0.00011862865176226478, "match_probability": 0.0029, "match_weight": -8.42, "prop": 1.9771441657212563e-05 }, { "cum_prop": 0.00013840009341947734, "match_probability": 0.003, "match_weight": -8.38, "prop": 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ZsIUX2oHnwBEEAy9kuN0BwcIxmMGPERkG/0ZfgH8l6zdoP2zFSyaexeoLRB+zXCxZg3MMbhjQ8BKEg/TgET4DH8MLE4Qf/oA+kyiA6AsYzLHMjug4WAXBSyXy2hNmPMAOvo2xABxY4emAI8QJ4wJEHEKGhJcF/IcXv1TthODgxRrtREg49Df8ZwUZt9pg5cPvMcDDNvgDeLdCy2H2n8oejEvwI2CGF1rgiHEFLx7AEsHF8QIFcUJ74Ft4yYDAo/1YIbISxrtEf4P/ArM///nP4iUELyAYD62LitGvED0IL6DJ/AJ2pRrbrJB+iWMShBv+D7vw4gEfhNghshFeVqwZIMQdd1VijICog0MIJQuggwAm+zMECwMx3v7wtmO97SHYLzopYheCYES9wJII3n7QuSBa+Bs6KL4nIiFyB0iFQ2MAsL4j4K0Jg5kV6BdkoZNDAPGdDnlBMMrHAIVB3Z7Q+dFh8De8ZaN8dFYMzpgV4o0akfYhYBiYEpdAIfLokEgQTTiQNaNLJQhwMHR2KwwYZrvojHhTRWdDm+GQeLPFG38yAUQHRufD9wU4KTorBmP8Ht9dYQsEEIMrRBoDHRJEFRE/Tj75ZDFIffnllyn5weCJAStZezGg4E032RJoogAmex5+YbUXA6Jbvq1riiyfAS/gDktrGEjga3gJwTdFdGDMNHG9D7DC6gHyJS5JWQII38DgYwkUZpjgFuWnwiHxlnq7f6QqL/H7D158gKf1LQmrAHhZRL3gDnjCL/GiAK4twUzsNxA2zCTQj/CigD4AMYHYoE7MhsE9ZrQoG20H/xBL+JoVxxSYISUKIPwUAgCRxcwAAoiXH/Qfe0IfwMuWFc4NL7i48QMCbQmgdXUVXkAgumgnxBK2pWonXlIhFJYvQ3jg/4lLd2gP+hG4RkJfwAurNWMDRqgT41Mqe+xLoOARNlhCC9GHAKMOez14cQDOie1J9DcIIGb6wAL24kUOYx0EEC9B4AQb69L5RaqxDb6SbEyCYAM7rCghAWu8bAE/jM0YbzALty6PRt14qccLNF4IWQAdBBCDrTUDRCfDFBsDC94ksKSSmDDYIw9mL+iM9gShgyPgDdEuIujgEBl0OjgMEt7GIKaYUSFhYwje4ND54ZwQM8wQsAyDDpB4xQsEDt/2sOwCJ8egj1kYHAlOgkHJGtCTCaC1OQZ1w/EweCQ6S6Ig2DcBYDCCyGHAxmCOJR2IPuqC42Ewtwsg2oaBxa0AYjaNwdXCx8LT2vwBUUjFD14u0EmTtRezK7cCmOx5DL6WAOKt3C3fiZtW8LKDJSErKDRelHBVEF5gsGyFt2+8aEBAMGtKJ4B4FoMBXnyQ4D+Y8UBoUuEAwbMnuwCmKi9xgxaW5e2xPVGeFRsV/4bwASNL2NA/kvUb9EH0q8QE4UBfwsthYsKLF1Y2ILroX0iY9WCFIVEAMbhjSRAYWS+mmOEmCiAEB+VZfc1aYrMLIAZw8IFVH6yAoG1YTrTuSkzWTtiHsQV+iYSXBPT3xHaiPRjYMUNDAr7o15h1wV6sNqBOiHAqe+wCCB7x4gHBt6fEevCi/c4771RoT6oXLpQFf8QLNnwi8VtcOr9INbYlbkCzxiS8NKCfW9eBwX5MCtBeXC0GAYTAWy9FEEIkTFDAIwtgha7z0y9SfQPE2xDIxZINLuHE+rP1jRAdCW/q1lo0vv9gEMP1K/jegUEEYoS3M+SDc+ANEkShPrsA4g0dg7h1PxrevjDTxPIBSEVZ+N4FIUAevLlWrVq1wqAF4tEGfNeDyMKRsNSJt7N0AmjfBepWAPE2hhkQkiWAEHHEaMR/GOSxtGd9T8IynLVbE0KGGa9bAcQsCMuNFj64Ow8YYADDCwrakoofbG7BwJ+svV4EMNnzdgFEe9zynbiJAAMm+LQ6tiWA+IaFlxF0cNy+DtHA8nY6AcSs3P69A8KBFw4MsKlwSCeAqcqz7jK0nNBazrJmGPB7vJjBD8EXZiDgC35gfaPGy2Niv8GAiRksnrUECn0AQoPn0BetYOB4Fv0CL4YoC4O7dQM8Xri+/vrrCgM5lvjwHRyrJigTYotltUQBhLhBGDHrQgJHmOnZBRAzRGsGB67wrR0+jxfmVO2EQNh3XaYTQHs+4IK8+GRhF0Asbaeyxy6AWJHBkruFD/wBKygQNns9bgXQvgkmnQCm8gu8LKca2+BzycYk+BRetPGpCsnCAeMkXnhQHma26D94EcFeAiT0c4zlLIAeBRBv3ngLxNIkiITDYBCCyKGTwtHRobE2DeeE2KDT4M0EHQWzC7wdYlaEt18IEToRpvB2AcQAhw6MgQrfbTDjQ34Qi2UdrNsjvxURH4ND4g406yJXDHhwHrzBYtaIvPi3XQAxKGGAwFp/4i7QIAKIgQnLIWgvxB7HSDAoYVaNQRYzQSy74GfY5lYAYSvwQdkQHcwmMCBhRmQt/aXiBy8SqQZ+DID4DoRBFIOgPSXOeJ0E0BJTN3y7FUB0dry1w//gN1hixXdK+A++o+L7CwYv4G7hAJ/FCxQGeOCD2R9EFHy7FUC7f6QqD99h7Al9Ad+DcaURhAv1YaMMVgPwbQl4whewdIYBE6KVrN9gIIPPA0d8J0Y/wIsFOIKt6HfwIzyPPHgpxO/xUoXlL2yewlI6/AUz6MSZFcrCixvy46UKPgpbsLxsT+izGGBRHrDHoIzv0okCiBdXa6C1ltLxTTBVO7E0HaYA4mUnlT0Y9DHjhg1YXQA+eDnHagAECDN2/M6NACb6m1sBTOUXmNmmGtvQv5MJIPo4+IKPwZ8g/lgVwMTEPvPE0ieWPWEzfAWzZv4GmEL87DNATMnRcaxk3UQNJ8JyJUQIb/pIABWOhTd3dAp0eCR0TJCLgR6dE2+EGBCwhIXBDIMWBgBMy60lUHz3wZsonBMJy1cQQ8waMVPCWyuWACGs+PAP50hM1lIXBkssj+AbJZwDb0JI9mUFSywxYGGAczsDxFIp2plsIEW9EFp8m7BmZ2gHnBNvZLAXgxmwAMYYXCwBxJIQlmnxTQOzR0tsrG+AlhhZy0EYiNB24GgN/NYO3ER+MEtI1V60z/rgnvgd0MIrnb0QY3t73fLtRgDBP976sbSEZS4kvMFiGQwvYRjIISyYdaNeCwe88GDwBR6WP2LTFGbI6XCw+5PdP1B/svLgj/aEzQiYYeBbqVUv3tQhxlgGRx/CCyFeGCHg4B/imKzfoF9ZO6xRFmYlGOyQ8IJpzZTRBrxswZ/wzQlij1kAEvoqlqet2YLVVoiTtUyKARh+icERLxv2mTDKgyhiRoF6MNvDf8A6cSkZPEGE7LPiVO1MPHaAF2fMkBPbmZgPdaDvY2ywz3wwwKeyx1qVsGaleIGC6KMPYiYIMU6sB1gjT2J78NJv97dUAph4Hi+VX2AykWpsS/VSjtk4Jgd4uYMNeMHCDBarC/Z6rfEVYy64w34CvAjzDDCNCLr5Ez6o4qMzBhO8XdsTdkphGSTx+hk4ABwRJDidG8LOSXRaa+3aKh9voCgDohpW9AWUiVmalwgQbjDC2zcEDDOrRDswOOPNzL7b0k2ZVh7sJkV7U50LTMdPunqwtIL2hpG88O2mPrwE4UUBG0LAPXwM+KHzw168FFlLhVZ5WGKH4CAfZqbW/Xpu6rP7nOUfbstDW/HdCj6AXcJu6k3Vb6xrlvDNJ5EbvBBgOT3xmirgAayw7J2Iid12tA8DOjBFG1Ee/NLeF7BxB36GOvCSA+HGrAnLim5Tqna6fd5tvnT24CXb+iyB8jCOQBT89MFU/ubUznR+4WdsA3cQNyxTpxoP4Vd4sUaexM9FTu1N9/eMPAgfBBB+lhFgBDIPAcwycGwAy6N4qcFKCWauiUvlmWc5W8QCyD7ACDACRiOAzxL41oTvq5iB4rsSvs9zMhsBngGazT9bzwgwAoyAsQiwABpLPRvOCDACjIDZCLAAms0/W88IMAKMgLEIsAAaSz0bzggwAoyA2QhIFUBsbcURg3Tbp3GAGttaw96+bzatbD0jwAgwAoyAEwJSBBBxNHHoFMFTcY4Ih2NxcBGn+3HuCefncGATwoi4mTgI7HSmzskQ/jsjwAgwAowAI+AFASkCCMHDwVkcMkXQYfwbQZwR/QGhjHAIFZEVcIgTB2DxMydGgBFgBBgBRkAlAlIEELM/LGtagV0R8w2hqRDeCWdwIHyIzIBZIUIrhRUNRSVwXBcjwAgwAoxAvBGQIoCI34frfxC0F9EWEKQV3wMR7smK6o24nIgNieVSXIuB+7/wDBJiv0Eg7Qlx/hA4lRMjwAgwAowAI+AVAYSvTExSBBCV4FsfgvYidhuixtsv3ERcN9xcgKCuuGgS4ofAqLhHK9WGGQSZxY3EmZwQczMZSZlkM9uYOWwyl5nBpck8ShFARFgHqBA33JiACOePP/54mbcgCjoiveP7H/6G++5w1QkEMNVyKAsgd7a4IGDCgAIuTLCTbYxLr0vfzlQ8ShFA7PzEtSS4Ngff+yBsiOiOhIjquGQT99zhahtsgMEFkNgViit/UiUWwMx2xMyw7icrTBg0TbHTBC5NtlGKAFqDGZY9cc2QfVnTujMP4uglsQB6QUvfvCZ3Nn1Z8dcy5tIfbro9ZTKPUgUwTKJZAMNEM7qyTO5s0aEup2bmUg6uqks1mUcWQNXelqY+kx1RIxoCN8UEHnkJNLCbaFOAan/dtXc/bdm+i3Lr1VaGgdJvgDKs4hmgDFTVl6m6s6m3kL8BRoG5rDrZX8NHdvaiVfTE4tXUIa8h9S1sFn4FSUpkAVQCc7BKuLMFw0+Xp03gkWeAunhb8Hao9tcbH3yNVm3YRjcXtaZWjeoHN8BFCSyALkCKOotqR4zCXrYxCtTl1MlcysFVdamqeew6Zi5hGXT6sELKyc5SYi4LoBKYg1Wi2hGDtdbf02yjP9x0fIq51JEV721SyeMnX35H1055mXJqZ9H04YXeG+vzCRZAn8CpfEylI6q0y14X2xgV8uHXy1yGj2kUJarkcV7JOnp44UrKb34KDe7SUpm5LIDKoPZfkUpH9N/KYE+yjcHw0+lp5lInNvy3RSWPk+aU0uIVn1KfwmZ0aV5D/432+CQLoEfAosiu0hGjsA91so1RIR9+vcxl+JhGUaJKHntPWEhbt++iyYPa8TEIL2TzMQgvaOmbV2VniwoFE2zkl5movCv8elX5Kza+YANMVvWq9OSoTuEbkqZEngEqhdtfZaoc0V/rwnmKbQwHRx1KYS51YCF4G1TxuGzNZho7o5iaNKhD4/u1Dd5wDyWwAHoAK6qsqhwxKvt41hAl8uHXzf4aPqZRlKiKx4cWrqT5JeuoW35j6l7QRKmpLIBK4fZXmSpH9Ne6cJ5iG8PBUYdSmEsdWAjeBlU8Wgfgx/VtQ01zc4I33EMJLIAewIoqqypHjMo+ngFGiXz4dbO/ho9pFCWq4rH9jU8J8/D9D98BVSYWQJVo+6xLlSP6bF4oj7GNocCoRSHMpRY0BG6ECh4/+GQr3fTQ69SgXm2aMqhd4DZ7LYAF0CtiEeRX4YgRmFWuSrYxagbCq5+5DA/LKEtSwWMUAbDtmLIARulhLutW4YgumyItG9soDVrlBTOXyiGXUqEKHm+fUUylazbT4M7nUH6LBlLsSFcoC6ByyL1XqMIRvbcq3CfYxnDxjLI05jJK9MOrWwWPUQTA5hlgeD6ipCQVjqjEkDSVsI1RMxBe/cxleFhGWZJsHqMKgM0CGKVX+ahbtiP6aFLoj7CNoUMaWYHMZWTQh1qxbB4XL99Ak555m1o2qk8jilqH2na3hfESqFukIswn2xEjNK2sarZRBxbCaQNzGQ6OUZcim8eoAmDzDDBqz/JYv2xH9NgcKdnZRimwRlIocxkJ7KFXKpvHqAJgswCG7ipyC5TtiHJb7650ttEdTnHIxVzGgSXnNsrk0QqAjVYsGH+5c2Mk5eAlUEnAhlmsTEcMs51BymIbg6Cn17PMpV58+G2NTB6jDIDNM0C/HhHRczIdMSKTKlTLNupxlogzAAAgAElEQVTCRPB2MJfBMdShBJk8WgfgowiAzQKog3d5aINMR/TQDKlZ2Uap8CotnLlUCre0ymTyaAXAvrmoNbVqVF+aDU4F8xKoE0Ia/F2mI2pgnmgC26gLE8HbwVwGx1CHEmTyGGUAbJ4B6uBdHtog0xE9NENqVrZRKrxKC2culcItrTJZPEYdAJsFUJrLyClYliPKaa2/UtlGf7jp+BRzqSMr3tski8d5Jevo4YUrKb/5KTS4S0vvDQvxCV4CDRFMWUXJckRZ7fVTLtvoBzU9n2Eu9eTFa6tk8Rh1AGyeAXr1hIjzy3LEiM0qVz3bqBMbwdrCXAbDT5enZfEYdQBsFkBdPMxlO2Q5osvqlWRjG5XArKQS5lIJzNIrkcHj1u27CBFgcPM7boCPOvESaNQMuKhfhiO6qFZpFrZRKdxSK2MupcKrrHAZPOoQAJtngMpcKJyKZDhiOC0LrxS2MTwsoy6JuYyagXDql8GjDgGwWQDD8Q9lpchwRGWNd1kR2+gSqBhkYy5jQJKLJsrg8dopLxPuARzXtw01zc1x0Qq5WSJZAv3+++/pqKOOokqVKqW0bu/evVS1alWqXLlyWgTuvPNOGj58uFyUIi5dhiNGbFKF6tlG3Rjx3x7m0j92Oj0ZNo+6BMCObAa4fft26tu3Lx199NG0bds26ty5M/Xq1YvGjh1LO3bsoJo1a9KoUaOEMBYVFdG0adPE79IlFkCduoz/toTd2fy3RN6TJtgI9Eywk2303k+sA/BNGtSh8f3aei9AwhNKZ4CPPvoovfjii/T000/Tm2++SVdddRW99NJLNHToUJo7d64QwyFDhtCmTZtoy5Yt4menxALohFA8/s4DSjx4ctNK5tINSvrnCZtHXQJgRzYD/PLLL+k3v/kNtW3bloqLi2nw4MFC8Nq0aUPZ2dlC+EpKSqhHjx40a9YsqlKliqOXsAA6QhSLDGF3Nh2NNsFGngHq6Hn+2hS2v+oSADsyAXzllVfE0ma/fv2otLSUqlWrRgsXLqSDBw/S8uXLqXnz5jRz5kyqW7curV27lpYuXUrDhg2jVq1aiTZDNCGQialLly7+GOanGAFGgBFgBJQgcO1D/xH13HFlc6pRLf3eDiUN+l8lubm5FaqrdPjw4cNhNwJLnmeccYbYtIKNMLVq1RJLnTk5P+0G2r17N/Xv358GDhxIEydOFOI3YMAAIZapNszwDDBslqIpL+y3zWisSF+rCTbyDFBHz/PXpjD9FTs/sQM0p3YWTR9e6K9BEp5S+g3wrrvuEh/I77//ftq4cSO1bNmSNm/eXLbUOWHCBCooKBCiuGTJEho9ejTl5eUJAUy1HMoCKMErIigyzM4WQfNdVWmCjSyArlwhFpnC9FedAmDbwVcqgBC29u3bE74FIo0cOVLsCkXCrlD8PHXqVNq/f7/YALNs2TKxK7Rnz54pHYYFMBZ9ybGRYXY2x8oiymCCjSyAETmXhGrD9FedAmBHJoBWxV988QXVqVNHnPOz0s6dO8U/sSzqJbEAekFL37xhdjZdrTTBRhZAXb3Pe7vC9FfE/0Qc0MmD2lFuvdreGyPpCaUzQBk2sADKQFV9mWF2NvWtd1ejCTayALrzhTjkCstfdQuAHfkMMEzyWQDDRDO6ssLqbNFZ4FyzCTayADr7QVxyhOWvugXAZgGMiwf+r51hOaLOZrONOrPjrW3MpTe8dM0dFo8PLVxJ80vWUbf8xtS9oIlW5vISqFZ0JG9MWI6os6lso87seGsbc+kNL11zh8WjbgGweQaoq8elaFdYjqiz2Wyjzux4axtz6Q0vXXOHxWP7G58SJi4Yf7l2pvIMUDtKKjYoLEfU2VS2UWd2vLWNufSGl665w+BRxwDYPAPU1eN4BhgzZrw1N4wBxVuN0eQ2wU620Z1vWQGwO+Q1pL6Fzdw9pDAXzwAVgu23Ku5sfpHT6zkTeATiJtjJNrrrWzoGwOYZoDvutMnFnU0bKgI1xAQeWQADuYhWD4fhr13HzCVchDt9WCHlZGdpZV86X5USDFuG9XwOUAaq6ssMo7Opb7W3Gk2wkQXQm0/onDuov+oaAJtngDp7XZK2BXXEOJjLNsaBJXdtZC7d4aR7rqA86hoAmwVQd89LaF9QR4yDuWxjHFhy10bm0h1OuucKyuOkOaW0eMWn1KewGV2a11BLc3kTjJa0lG9UUEeMgYm8cSIOJLlsI/urS6A0zxaUR10DYPMMUHPHS2xeUEeMg7lsYxxYctdG5tIdTrrnCsKjzgGwWQB19zxeAo0ZQ+6aG2RAcVeDHrlMsJNtTO9ry9ZsprEziqlJgzo0vl9bPRwzSSt4CVRban5uGHe2GJDkookm8AgYTLCTbUzv8DoHwOYZoIvBSqcs3Nl0YsN/W0zgkQXQv3/o9mQQf9U5ADYLoG6e5tCeII4YF1PZxrgw5dxO5tIZozjkCMKjzgGwWQDj4H22NgZxxLiYyjbGhSnndjKXzhjFIYdfHq0A2A3q1aYpg9ppbSp/A9Sanp8a59cRY2BaWRPZxjixlb6tzGVmcOmXR90DYPMMMGb+6dcR42Qm2xgntlgA2V9T+8DtM4qpdM1mGtz5HMpv0UBrx+YZoNb08AwwBvS4bqIJgyavWLh2B+0z+vVX3QNg8wxQe9cr30C/jhgnM9nGOLHFM0D21+Q+EIcA2CyAMRtruLPFjLAUzTWBR54BZoav+uVx8fINNOmZt6llo/o0oqi19mDwEqj2FPEmmBhQ5KqJLICuYIpFJhO49GNjHAJg8wwwFl3s50b6ccSYmcg7XeNGWJr2sr9mBpl+eIxDAGwWwJj5px9HjJmJLIBxI4wFkHJzczOItYqmeB13cPM7NsAgLRh/eSyw4SXQGNDk1RFjYFKFJrKNcWQteZuZy8zg0iuPcQmAzTPAmPmnV0eMmXmiuWxjHFljAcwc1oLPAOMSAJsFMGZey+IQM8JSNNcEHvllJjN81Q+PNz74Gq3asI3G9W1DTXNzYgEEL4HGgCYTBk62MQaO6LKJzKVLoDTP5pVHKwD2k6M6UVb1qppb91PzWABjQJNXR4yBSfwNMI4kuWwz+6tLoDTP5oXHOAXA5iVQzR0vsXleHDFmppU1l22MK3PBvx3F0XL21/KszStZRw8vXEkd8hpS38JmsaGUZ4AxoIo7WwxIctFEE3j08+3IBXTaZTGBSy82xikANs8AtetO6RvkxRFjZhrPAONKWJp2s79mBqleeIxTAOxYCODevXupatWqVLly5bTedOedd9Lw4cMzw+NSWOHFEeMKBNsYV+Z4CTRzmCtvids+uXX7LkIEGGx8wQaYOCWlS6B///vfqaSkROBz6NAhWrBgAa1YsYJefPFF2rFjB9WsWZNGjRpFlSpVoqKiIpo2bZr4XbrEAhgnd0vdVredLc7WmmAjL4HG2UP9CWDcAmBrMQPErO3444+nSy+9lIYOHUpz586lXr160ZAhQ2jTpk20ZcsW8bNTYgF0QigefzdBHEywkQUwHv3NTSvd+mvcAmBHLoDvv/8+dezYkT788EOqVq0atWnThrKzs4XwYYbYo0cPmjVrFlWpUsWRJxZAR4hikcFtZ4uFMQYvZbMAxtlD/c0A4xYAO3IB7NOnD5177rnUu3dv0ZaDBw/S8uXLqXnz5jRz5kyqW7curV27lpYuXUrDhg2jVq1apfQqFsDM6HAsgJnBIwugWTzGMQB2pAL4zTff0HHHHUfbt2+n2rVrl/OW3bt3U//+/WngwIE0ceJEIX4DBgyg0tJS8V2wuLi47Bui/cEuXbpkjtexJYwAI8AIxASBDz7dTg+/up5Oq3c0XVN4RkxaXb6ZyW71qHT48OHDMqx59tln6bHHHqP58+dXKH7ChAlUUFAgvv8tWbKERo8eTXl5eUIAUy2H8gxQBkvqy+QZoHrMZdXIXMpCVm25bniMYwDsSGeA119/vVjiTDy6sG3bNho5ciRNnTqV9u/fLzbALFu2TOwK7dmzJy+B8t1janu/hNrcDCgSqlVepAl2so0/udW1U16mT778LlYBsCMVwFS9cefOneJPtWrV8tRheQboCS5tM/OAoi01nhvGXHqGTMsHnHiM+/c/gK70HKAMllkAZaCqvkynzqa+ReHXaIKN6QaV8BGNrkQTuHSyMY4X4CZ6DAtgdH3Idc1Ojui6II0zso0ak+OxacylR8A0ze7E4+xFq+iJxaupW35j6l7QRFMr0jeLBTAGtDk5YgxMcGwi2+gIUWwyMJexoSptQ514jOMFuDwDjKFvOjliDE2q0GS2MRNY/MkG5jIzuHTiMY4X4LIAxtA3nRwxhiaxAGYCaSlsYH/NDHLT8RjXC3BZAGPomzygxJC0JE02gUeeAWaGrzrxaH3/i9sFuCyAMfRPEwZOtjGGjskzwMwhzeMLm/X97+ai1tSqUf3Y4sCbYGJAHYtDDEhy0UQTeHSaObiAKRZZTOAynY2Z8P0vna9KC4UWtnfzOcCwEY2mPNMHlGhQl1MrcykHV9WlpuIxU77/sQCq9iif9fGA4hM4zR4zgUeeAWrmdAGak8pf55Wso4cXrqT85qfQ4C4tA9QQ/aO8BBo9B44tMGHgZBsd3SA2GZjL2FCVtqGpeLx9RjGVrtlMgzufQ/ktGsTaWBbAGNDHA0oMSHLRRBN45BmgC0eISZZU/tp1zFxCHNDpwwopJzsrJtYkbyYLYAzoM2HgZBtj4Igum8hcugRK82zJeMTND7gBIqd2Fk0fXqi5Bc7NYwF0xijyHDygRE5BKA0wgUeeAYbiKloUksxfM+n7Xzpf5V2gWrjgT40wYeBkGzVyuIBNYS4DAqjJ48l4zKTvfyyAmjiaUzN4QHFCKB5/N4FHfmGLhy+6aWUyf+09YSFt3b6LJg9qR7n1arspRus8vASqNT08A4wBPa6byALoGirtM5rAZaKNED4IYFb1qvTkqE7ac+SmgSyAblCKOI+JnS1iyKVUbwKPPAOU4jqRFJror4uXb6BJz7xNLRvVpxFFrSNpU9iVsgCGjaiE8kwYONlGCY4TUZHMZUTAh1xtIo+T5pTS4hWfUp/CZnRpXsOQa4umOBbAaHD3VCsPKJ7g0jazCTzyDFBb9/PcsER/zbTvf+l81dcu0AMHDlCVKlU8Ax3kAY4FGgQ9fZ41QRxMsJEFUJ8+FbQldn/NxO9/gQVw5cqVdO2119KLL75If/jDH2j16tUEQfrrX/8aFHvXz7MAuoZK64wmiIMJNrIAat3NPDXO7q/L1mymsTOKqUmDOjS+X1tP5eicOdAS6LnnnivOqN1yyy10zTXXUPPmzemjjz6ib7/9VtlMkAVQZ/dy3zYTxMEEG1kA3fu87jnt/vrQwpU0v2QddctvTN0LmujedNft8y2Ae/fupRo1atD8+fNp0qRJtGrVKnrnnXfo5JNPpvfee4/OPPNM140IkpEFMAh6+jxrgjiYYCMLoD59KmhL7P6K8GcIgzaubxtqmpsTtGhtnvctgLDg9NNPp1//+tc0b9486tevH9WrV4/GjBlDP/zwA2VlqQmSygKojS8FaogJ4mCCjSyAgbqBVg9b/orA1wiAjbRg/OVatTFoYwIJ4OOPP05XXnmlaANmfa1bt6b27dvTrFmzgrbL9fMsgK6h0jqjCeJggo0sgFp3M0+Ns/w1U7//pfNV17tAt2/fTpUrV6ZatWrRihUrxHdAlYkFUCXa8uoyQRxMsJEFUF4fUV2y5a+Z+v3PtwD26dOH9u3bl5KPadOmie+DKhILoAqU5ddhgjiYYCMLoPy+oqoGy18z9fufbwGsVKlSWg527txJRx99tBKeWACVwCy9EhPEwQQbWQCldxVlFcBf655wUsZ+//MtgIcOHRIkdO7cmbZu3UpTpkyhX/7yl+I4xJIlS+jdd9+lqlWrKiGKBVAJzNIrMUEcTLCRBVB6V1FWAfx1w/ZKGRf/0w6g700wiPoCkcP5Pwgg0pw5c+iyyy7jYxAhu6gJAyfbGLLTRFgccxkh+CFWDR5nl3xBpWs20+DO51B+iwYhlq5HUb4FEM1v3LgxrVmzhjp27Cg2wcydO1d8+/v444/pqKOOUmIhzwCVwCy9Eh40pUOsrALmUhnUUisCjzfNeJdwDGL6sELKyVZztE2qUQmFBxJAhD4bN24cLViwgL7//ntq27YtjRgxgtq0aaPMBhZAZVBLrYgHTanwKi2cuVQKt7TK5r22nB5+dT01qFebpgxqJ62eKAv2LYBYAr3vvvuoSZMmdMEFFxA2vvziF79QbgsLoHLIpVTIg6YUWCMplLmMBPbQK71r1hu0ZNWWjAt/ZgfKtwBaS6AQQiyD4ixgFIkFMArUw6+TB83wMY2qROYyKuTDrffKcc/Tt9//SJMHtaPcerXDLVyT0gIJ4BVXXEGzZ8+m8847T8wEreMREydOpOrVqysxkQVQCczSK+FBUzrEyipgLpVBLa0ixP3E+b+c2lk0fXihtHqiLjiQANatW1ccg0hMO3bsEJtiUqVdu3YRjlKkOyuIYNvYZeo0s2QBjNqFwqmfB81wcNShFOZSBxaCtWFeyTp6eOFKym9+Cg3u0jJYYRo/HUgAd+/eTYcPH65gXqpA2BC13r17EwTyiCOOoGbNmong2WPHjhW/q1mzJo0aNUrMJIuKiggRZfC7dIkFUGPv8tA0HjQ9gKV5VuZSc4JcNM+K/nJzUWtq1ai+iyfimSWQAGLn54wZM8QyKP7dtWtXERz7hBNOSIrGo48+Sm+//TY98MADQjife+45atq0KQ0fPlwcoejVqxcNGTKENm3aRFu2bBE/OyUWQCeE4vF3HjTjwZObVjKXblDSN08m3/6QiHogAbzxxhvpjjvuEEuZxxxzjBCuRo0aiYPwVapUqcDwyJEjxZ2By5cvpxNPPJFuv/12uuiii8SxiezsbPF8SUkJ9ejRQ9wokayMxEJZAPXtSF5axoOmF7T0zstc6s2PU+sWL98gor80/WVtGveXzDz+YGHgWwDxHQ+H3fv27Uv/+Mc/xJImLsa97rrr6MMPP6QzzjijAs5XXXUVLV26lF588UVauXIl3XDDDfTZZ5+J74EQRdwkMXPmTMK3xbVr14q8w4YNo1atWomyiouLhUAmpi5dujhxyn9nBBgBRoARcIHAw698RB9s/I66n9+AWjY8zsUT8c6Sm5tbwQDH65Dw/Q/f+kaPHi2+2yFZodAwy2vRokWFQq+//no68sgjafz48eJvEDoI2mmnnSZ+Rpn9+/engQMHEnaSQvwGDBhApaWlZTtMeQYYb2dL1XqeNWQOr8xlvLnE5bdYBh3V9Uz67Vm/jrcxDq33PQNEubgAFwKGZUxsVnn22Wfp7LPPTilY+F740EMP0aJFi8Ry57nnnktffPFF2U7PCRMmUEFBgfj+h6DaENe8vDxRXqrlUF4CzQz/5EEzM3iEFcxlfLm0Lr9F9JfBhb+iZLOj+FpXseWBBHDjxo0iFNoTTzwhNsEgEPbNN99MZ555ZlKMfvzxRxo0aJBYAoVgYgcoNs4gbdu2jfCNcOrUqbR//36xAWbZsmVidtmzZ8+UmLMAZoY78qCZGTyyAMabR/vlt61ya7IAOtEJUcPxBhxdgKi52biCW+RxTtB+xg+h1JDSnR9M1hYWQCeG4vF3FsB48OSmlcylG5T0zNN7wkLaun2XiP5Ce75lAUxH0+LFi8VMDcuaJ598stjNiRlcp06dlLHLAqgMaqkV8aApFV6lhTOXSuEOrbLE6C8m8+i4CQao4xvgRx99RK+//roIhN2uXTt6//336bvvvhPHIlQkFkAVKMuvw+TOJh9dtTUwl2rxDqu22YtW0ROLV5dFfzGZR0cBtC7ExfVHt912m+DgpZdeoosvvlh8u2vZUk34HBbAsNw/2nJM7mzRIh9+7cxl+JiqKDEx+ovJPDoKIAg59dRTxY4vnP/DmUDs4ly3bp3Y0HLccWrOj7AAquga8uswubPJR1dtDcylWrzDqC1Z9BeTeXQlgPgGiHN6ED0r4Y7Aq6++OgxOXJXBAugKJu0zmdzZtCfHYwOZS4+AaZDdiv7SslF9GlHUWrTIZB5dCSBAQkxPnNnDzs4//vGP4nC8ysQCqBJteXWZ3NnkoRpNycxlNLgHqfX2GcVUumYzDe58DuW3aMACeDjZNQ8JCGMDzIUXXijeFBAXdNWqVdS9e/eys31BCHH7LAugW6T0zseDpt78eGkdc+kFLT3ytr/xKdGQ6cMKKSf7p0mMyTy6mgEi3BlEsE6dOnT55ZeL6C6I9sK7QMN1apMdMVwkoy3NBB5NHzij9TB/tdujv0zB+b//JRP81XckGByAx63v+OaHgNY41I6g1AhovWLFCnHXn4rEM0AVKMuvw+TOJh9dtTUwl2rxDlrbpDmltHjFp9QtvzF1L2jCAkhErmaAiNqCsGe1a9ematWqiRshXnnlFfrmm2/Ebe4qEgugCpTl18GDpnyMVdXAXKpCOpx67NFfcuvVZgF0K4CIAYrbGxAH1Eo4E4izgaoSC6AqpOXWw4OmXHxVls5cqkQ7WF2J0V/spZnMo+MM8ODBg/Tuu++Ky3AB1IYNG+iss86i3/3ud8EY8fg0C6BHwDTNbnJn05QS381iLn1Dp/zBxOgvLIA/IeAogLjEtl69euIGeIRCiyqxAEaFfLj18qAZLp5RlsZcRom+t7oTo7+wALoUQGT761//Km6DxzVGEEJ8A0Tq2LGjq1shvFGVPDcLYBgoRl8GD5rRcxBWC5jLsJCUWw5ufcD3P6QF4y+vUJnJPDrOAIEWbnTfunVrBeB27Njh+Vojv1SzAPpFTq/nTO5sejERvDXMZXAMVZSQLPoLzwA9zAARAQbHIRJT27ZteQYYogfzgBIimBEWZQKPgNcEOzPBxmTRX1gAPQhghGNJWdU8A9SBheBtyIQBxQkFE2xkAXTyAn3+niz6CwsgC6A+Hvq/lpgwcLKN2rmd7wYxl76hU/ZgqugvLIAsgMqc0G1FPKC4RUrvfCbwyDNAvX3Qat1DC1fS/JJ1FaK/sAB6EEDEy37yySfpjTfeoDZt2ojoLwUFBcpug0dTeQk0Hh3OqZUmiIMJNrIAOnm6Hn9PFf2FBdCDAN566600atQo8QRugyguLhb/hiBaRyJk080CKBthNeWbIA4m2MgCqKa/BKklXfQXFkCXAojZ3zHHHEOXXHKJCIqNQ/FnnHEGXXnlleKGiNNOOy0IR66fZQF0DZXWGU0QBxNsZAHUupuJxs0rWUcPL1xJ+c1PocFdWqZssAn+mspGx3OA+/fvFwGw77jjDvr222/FbRAXXHABtWvXjjZu3Egnn3yyEk9gAVQCs/RKTO5s0sFVXAFzqRhwj9Wli/7CM0CXM0BkKywspBdeeEHEA0VCUGyIoMrQaCyAHr1f0+w8aGpKjI9mMZc+QFP0yK69+6nrmLmitidHdaKs6qlv7TGZR8cZIADEtUePP/444VaI//73v9SqVSuaMmWKWApVlVgAVSEttx6TO5tcZNWXzlyqx9xtjU7RX3gG6GIGCAfHN8BUqUGDBrwJxq1HusjHA4oLkGKQxQQeQYMJdsbVRuvy2z6FzejSvIZpe01cbfQyFPj6BlipUqW0dXAsUC8UOOc12RGd0YlPDhN4ZAHU2x+x/Ill0OnDCiknO4sF8JNPKDc3twIOaZdA77rrLsJ9gKnSddddJzbIqEi8BKoCZfl1mCAOJtjIAii/r/itwU30F14CdbEEagfphx9+EJtecD8gNsDgaITKxAKoEm15dZkgDibYyAIor48ELdmK/tIhryH1LWzmWJwJ/uprCdRCDlFgunXrVg7I4cOHi6MRqhILoCqk5dZjcmeTi6z60plL9Zi7qdFN9BeeAbqcAWIJNDs7Wxx9eOyxx8SS5+TJk2nZsmW0efNmOuGEE9xwEjgPC2BgCLUogAdNLWgIpRHMZSgwhlqI2+gvLIAuBdCKBHPFFVfQ1KlTxVMLFiygDh06sACG6rq8qy5kOCMrzgRh4CXQyNwrbcWzF62iJxavJrfLn6bzmHYTzCuvvCI2wdx///3iIPyMGTPEBbh33323OBu4du1avhA3xH5gwsDJNoboMBEXxVxGTECS6t1Gf+EZoIsZIB+DUOvgPKCoxVtWbSbwaPrMQZbvBCl36/ZdhO9/iPqC6C9ukwn+6msTDGZ96Y5BXHzxxTwDdOtlLvKZ7Igu4IlNFhN4ZAHUzx3dBr9ObLkJ/upLAC2g9uzZQ4888oi4/QEJRyE+/PBDmjt3Lh111FGBPGHv3r3ifkEE2U6XeBNMIJi1edjkzqYNCSE1hLkMCciQirnxwddo1YZtNLjzOZTfooHrUk3m0VUsUCsYdiKi2BmaTAB//PFHqlOnDl144YXikdNPP51uu+02Gjt2LCF6TM2aNcX9glhiLSoqomnTponfsQAmj1bg2pNjkNHkzhYDejw1kbn0BJfUzF6CX/MM8GcEHAXwwIEDYoaGGdj8+fPF7k/M1mbPnk3vvPOOELHEhIDZI0eOFHmwacZaLhk6dKiYNfbq1YuGDBlCmzZtoi1btoifnRLPAJ0QisffedCMB09uWslcukFJTR4vwa9ZAD0IIJY7IXgIe1ajRg1auXIlIURa48aNxTJoshshFi5cSN27dxdnB88++2whnm3atBH/4UwhhK+kpIR69OhBs2bNcvUdkQVQTUeSXQsPmrIRVlc+c6kOa6eabp9RTKVrNnte/rQmJ8niZDrVGae/B/oG2LNnT3EEAtch2SPCpFoCXbx4Ma1YsYIGDhxITz31FI0fP15cowQxXb58OTVv3pxmzpxJdevWFUcpli5dSsOGDRPXLKVKLIBxcrfUbeVBMzN4NH3g1I3F9jc+JZrkJvg1zwA9zACRFd/0cCYwPz+fnn76aSFil19+ObVu3TqpH+zbt0/MGvEfdpFiGfTzzz+nE088UeTfvXs39e/fXwjkxIkThfgNGDCASktLxSjGTZEAACAASURBVJJqcXGxmCEmpi5duujmd9weRoARYAQiReCDT7fTw6+up/rH1qRhnRpH2hadK/d8G4RlDDavIPan9T3v008/FaL1z3/+M+kmGGxw2bZtGz3wwAP05ptvio0uH3/8cRk2EyZMoIKCAvH9b8mSJTR69GjKy8sTAmjVkQgkzwB1di33beMZoHusdM/JXOrBkJe7/5K12GQeHTfBALCTTjpJfMubPn26ELURI0YIHFPdB/jll18KgYOY4b8xY8YQdpIiQRixQQZh1fbv3y82wCCuKEQTS62pEgugHp0taCtM7mxBsdPteeZSD0a83P3HAlgeAVcCiODXgwcPLnuyYcOGIhzaJZdcktYDvvrqKzr++OPL5dm5c6f4uVatWp68hwXQE1zaZuZBU1tqPDeMufQMWegPWHf/5dTOounDf5pkeE0m85hWALdv316G5TPPPEP9+vWjnJwc8Q0wKytL7OhUlVgAVSEttx6TO5tcZNWXzlyqxzyxRq93//EM0MMMkGOBqnVwHlDU4i2rNhN4BHYm2Km7jV7v/mMB9CCAiN6CHZ2pEr4FHnnkkbLGkXLl8gxQCczSK9F9QAkDABNsZAEMw1OCleHn7j8WQA8CaM+KoxC4ANeeTjnlFDriiCOCsejyaRZAl0Bpns0EcTDBRhbA6DtaGMufpvPoahMMdmziGAQOvttTql2gMlyDBVAGqurLNEEcTLDR9IFTfc+pWKO1/HlzUWtq1ai+7yaZ4K++I8HgRnhrJ+dVV11F1apVKwP65ptv5iVQ325X8UGTHTFEGCMvygQeWQCjdTO/d//xEqjHJVBLABG15ZZbbomMdZ4BRgZ9qBWbIA4m2MgCGGq38FyY37v/WAA9CiCyX3HFFbRgwQIR1Np+9KFz586uAll7ZjfJAyyAYaAYfRkmiIMJNrIARtuXggS/Tmy5Cf7qewkUYCFo9datWyswzt8Aw+0EJjtiuEhGW5oJPLIARutjQaO/2Ftvgr8GEkCEKsMu0MSE+J2pYneG7R48Awwb0WjKM7mzRYO4vFqZS3nYpiv5g0+20k0PvU4N6tWmKYPaBW6EyTym3AWKq4see+wxcXUR7v3bs2dPBaBxnx8uy1WRWABVoCy/DpM7m3x01dbAXKrF26otrOMPVnkm85hSAHEAHofcx40bR5MmTeIlUAW+brIjKoBXWRUm8MhLoMrcqUJF1055mXAIPujxBxZAopQCiN2fuJPv5JNPJtzugJsbEtO5554r7vxTkXgGqAJl+XWYIA4m2MgCKL+vJKvBWv7Mql6VnhzVKZRGmOCvvr4B4tZ2LIWmSrgdnpdAQ/FBUYjJjhgeitGXZAKP7K/R+Bm+/UEEu+U3pu4FTUJphAn+6ksAORh2KP7luhCTHdE1SDHIaAKPLIDqHdF++H368PaEWWAYyQR/9SWA2P2ZbgbYsmVLXgINwwP/V4bJjhgijJEXZQKPLIDq3cy6+b1DXkPqW9gstAaY4K++BNCO8MqVK2nVqlXlQO/atSsvgYbmhrwEGiKUkRZlwoDCAqjexcI8+2dvvQn+GkgA+/TpQ9OnT6/AOB+ED7cTmOyI4SIZbWkm8MgCqNbHwrr6KFmrTfBX3wJ48OBBcdgdh94R/Nq+6eWCCy7gg/Ah9gOTHTFEGCMvygQeWQDVulnYZ/94BvgTAq6uQ2rcuDFddNFFdNddd6ll3VYbH4OIDPpQKzZBHEywkQUw1G7hWJh19m9c3zbUNDfHMb+XDCb4q+8ZIIDs0KGDCIbdpUsXOvbYY8uwveeee6h69epesPadlwXQN3RaPWhyZ9OKiBAaw1yGAKKLIsK8+oiXQMsj4GoGyMGwXXhpCFl4QAkBRA2KMIFHngGqczRr92d+81NocJeWoVdsgr8GmgEeOHCAEBkmMak6BI96eQYYut9HUqDJnS0SwCVWylxKBPd/Re/au59637mA8P/pwwopJzsr9EpN5tHVDPDWW2+lnTt3VgD+9ttv5yXQEN3RZEcMEcbIizKBR54BqnGzxcs30KRn3qYmDerQ+H5tpVRqgr8GmgHyEqgUv6tQqMmOqAZhNbWYwCMLoBpfCvPi21QtNsFfAwngN998UxYRZvfu3XTDDTfQp59+Sm+99RZHggmxH5jsiCHCGHlRJvDIAqjGzWQdfre33gR/DSSAiVTPmDGDevbsSevXr6dTTz1ViSfwN0AlMEuvxOTOJh1cxRUwl3IBt25+yKmdRdOHF0qrzGQeXX0DbN26tbgSyUoADOn777+no446Shox9oJZAJXALL0SkzubdHAVV8BcygV89qJV9MTi1RR27M/EVpvMoysB/OMf/0hbtmwRuCEqDGZ9mAEWFsp7K0kkiQVQbmdTVbrJnU0VxqrqYS7lIh32xbepWmsyj64EUC7N7kpnAXSHk+65TO5sunPjtX3MpVfE3OfHsQd8/0PCxbdhXX2UrAUm88gC6N4npec02RGlg6uwAhN4BJwm2BmVjdbxh5aN6tOIotZSvTcqG6UalVB4qJtgVDbcqotngFGgHn6dJne28NGMtkTmUh7+VvSXPoXN6NK8hvIqMvxFJuUMELdAvPDCC3T22WfTihUr6KyzzqITTzxRKhHpCmcBjAz6UCvmQTNUOCMtjLmUA7+K6C/2lpvMY0oB/PHHH0WUl379+tHzzz9PPXr0oFatWpVjvGPHjnwdUoh9wGRHDBHGyIsygUdeApXnZtbuTxXLn6bzmPYbYIsWLcTsL1XiC3HD7QQmDJxsY7g+E2VpzKUc9K3D7zKuPkrWYpN5TCuAP/zwgxBAXIN09dVX03nnnVcOP/yMYxEqEi+BqkBZfh0mdzb56KqtgbkMH2+ZN7+naq3JPLraBfrFF1+IA+//+c9/aNeuXVRQUEA1a9Z0xf63335LWVlZdOSRRybNv3fvXnHLfOXKldOWxwLoCm7tM5nc2bQnx2MDmUuPgLnIrnL3p9Uck3l0JYBLliyh9u3bi8gvVpo0aRJde+21aSnduHEjNW3alP71r3/R7373Oxo7dixh2RTiOWrUKKpUqRIVFRXRtGnTHAWVBdBF74lBFpM7Wwzo8dRE5tITXK4yP7RwJc0vWUfd8htT94Imrp4JmslkHh0F8NChQ2In6NatW2nEiBFCqO69914xG/z666/L3RBvJ2Lfvn102WWX0YYNG2jq1Kl0/PHH09ChQ2nu3LnUq1cvGjJkCG3atElEmMHPTokF0AmhePzd5M4WD4bct5K5dI+V25w3PvgardqwjVR9/0O7TObRUQBxE8Rxxx1HU6ZMoWuuuUbwuGjRIvrDH/5Ay5Yto5Ytk99QfP3111N+fr4Qy5EjR4oZYJs2bSg7O1sIX0lJidhZOmvWLFffEVkA3XYhvfOZ3Nn0ZsZ765hL75ile0Jl9Bd7O0zm0VEAcRP8McccQ40bN6Z77rlHzACxlPn000/TV199RbgrMDE9++yzNG/ePHr88cfpwgsvLBNAnC1cvnw5NW/enGbOnCmeXbt2LS1dupSGDRtWdsyiuLhYCGRiwmYcTowAI8AIZCICpeu+ptlLNtBp9Y6mawrPyEQTI7UpNze3Qv2OAognJk+eTIMHDy73MJZDb7vttqQGnXvuuWLJ9NhjjxVLpQ0bNhQzvd/+9rciP+4U7N+/Pw0cOJAmTpwoxG/AgAFUWloqvgsmSzwDjNR3Qqvc5LfN0EDUpCDmMlwiek9YSFu376Kbi1pTq0b1wy08TWkm8+hKAIHdZ599Rs899xzt3LmTOnXqJGaEqdLnn39O2N2J1Lt3byFuHTp0KNvoMmHCBLGTFN//sMFm9OjRlJeXJwQw1bEKFkBl/UFqRSZ3NqnARlA4cxke6MvWbKaxM4pJ9t1/yVpsMo+uBdAv1bgy6aabbhLfAJG2bdsmlkSxMWb//v1iAwy+JWJXKK5YSpVYAP0yoNdzJnc2vZgI3hrmMjiGVgkqY38mttpkHqULYCLYmEEi1apVy5P3sAB6gkvbzCZ3Nm1J8dkw5tIncAmPYdkTy59I04cVUk52VjgFuyzFZB6VC6BLTipkYwH0i5xez5nc2fRiInhrmMvgGKIE6+xffvNTaHCX5Lvqw6kpeSkm8+hKAHEAHmf4XnzxRbF5BYGysSPzzDPPlMlLubJZAJVBLbUikzubVGAjKJy5DA66ffY3eVA7yq1XO3ihHkswmUdXAogD7XPmzBGw3njjjWKzyqpVq8TGmFQhzjxy4JidBdARolhkMLmzxYIgD41kLj2AlSKr9e0vqtkfmmUyj44CeODAARGrc8yYMSIOKGJ2XnTRRfT73/+e3nvvPWWzQBbA4J1NhxJM7mw64B9mG5jL4GheO+VlQgBslZFfElttMo+OAojD6ziagOMMmO3hvzp16oidndu3b6fatdVM2VkAg3c2HUowubPpgH+YbWAug6Fpj/yyYPzlwQoL8LTJPDoKIHBF3M677767HMQIYzZjxowAsHt7lAXQG1665ja5s+nKid92MZd+kfvpOevsX5MGdWh8v7bBCgvwtMk8uhJAhENDCDMEsv7444+pWbNmNGjQIMcbHAJwUuFRFsAw0YyuLJM7W3Soy6mZuQyGa5Rn/+wtN5lHVwKICDDY+ZmYECS7devWVL169WCe4OJpFkAXIMUgi8mdLQb0eGoic+kJrgqZrZvfozj7xwL4EwKuBBBBqxHbM1lCYGsErpYtgiyAwTqbLk/zoKkLE8HbwVz6x9Ba/mxQrzZNGdTOf0EhPGkyj64E8IorrhA3NiD4NTbEjB8/XkRywZVI+N2rr74qYnvKTCyAMtFVV7bJnU0dympqYi7946zL8icsMJlHRwG0jkFcd911ZRth7rjjDnEeEMcicNEtrknCLlGZiQVQJrrqyja5s6lDWU1NzKU/nKMOfZbYapN5dBRAgIXZHqLB/OMf/xDHILABpkaNGmIXaLt27cQSqBXs2p9LOD/FAuiMURxymNzZ4sCPlzYyl17Q+jmvDoff7S03mUdXAogoMJjhQQSRjj76aJo+fbq4GmnatGlieZS/AfrrDOyIwXHTrQQTBhTTl86C+Jwum18sG0zw11Q2uhJAAIUD8e+88w7t2bNH3N2H6DDYGIOD8NWqVQviD66e5RmgK5i0z2RyZ9OeHI8NZC49AmY7+6fD5hcWQJe7QCF6jzzyCH300UcCs0OHDtGHH34ozgUeddRR3r3AxxMsgD5A0/ARHjQ1JMVnk5hL78BZNz90y29M3QuaeC9AwhMm8+hqBohLbV944YUK0GNJlAUwPI802RHDQzH6kkzgkZdA/fmZDrE/E1tugr/6XgK1doFiBjZ//nzq0KGDCIg9e/ZssSRaqVIlf57g8SmeAXoETNPsJnc2TSnx3Szm0ht01u7PrOpV6clRnbw9LDG3yTw6zgCx3AnBwzEI7PxcuXIl3XXXXdS4cWOxDHrGGWdIpObnolkAlcAsvRKTO5t0cBVXwFx6Azzqi29TtdZkHh0FEKD17NlTHHl44oknqFu3bmU48hKotw7glNtkR3TCJk5/N4FHXgL15pG4+aH3nQsI/4869Bkvgf6MgCsBxIH3xYsXi2gvTz/9tAiM3blzZzr//PO9eUGA3DwDDACeRo+aIA4m2MgC6K1TzV60ip5YvJqivvkhWatN8Fdf3wARABs7QFu0aEGjR4+m9u3bC/xWr14tgmBv3LiRTj75ZG+e4DM3C6BP4DR7zOTOphkVgZvDXLqD0D77mzyoHeXWU3OHqrvWcSi0w6mAmjBhAg0fPjwljpgZ1qxZ0y3OgfKxAAaCT5uHedDUhorADWEu3UGo8+zP9Jl82iXQ119/nV5++WV64IEH6IILLqBGjRqVMd6yZUvq2LGjOw8IIRcLYAggalAED5oakBBSE5hLZyAx+xs05WXCDtBxfdtQ09wc54cU5zCZR1ffABcsWEBnnXWWsuXOZPyzACruFZKqM7mzSYI0smKZS2forZ2fOkV+SWy1yTy6EsB///vfNHHiRHrrrbfKYYfb4fkgvHMncJvDZEd0i1Ec8pnAo+lLZ278ELM/xP1E0vHbn2WDCf7qaxOMBRDO/K1Zs4Zw+a097id2hvI3QDddwV0ekx3RHULxyGUCjyyAzr64ePkGmvTM29SyUX0aUdTa+YGIcpjgr74FEEGwcQnuqFGjxE7QqBIvgUaFfLj1mtzZwkUy+tKYy/Qc3PTQ6/TBJ1tpcOdzKL9Fg+gJS9ECk3l0tQR61VVX0dtvv01PPvkkZWdnl8FYv359DoUWolub7Ighwhh5USbwyDPA9G5mD3s2fXh7QvgzXZMJ/up7BgjS6tatK64+Skw7duwQl+WqSDwDVIGy/DpM7mzy0VVbA3OZGm/dLr1N5xkm8+hqBjhp0qSyy3DtQA4bNkzcEK8isQCqQFl+HSZ3Nvnoqq2BuUyOt33zi25hz5K12GQeXQkgQPv000/FLtDc3Fw69thj6bTTTlPa21gAlcItrTKTO5s0UCMqmLlMDjy+++H7n45hz1gAyyPgSgBxDhDXICHdeOONVFxcTM2aNaPJkycr63osgMqglloRD5pS4VVaOHOZHG5r+bNDXkPqW9hMKSd+KjOZR1cCeNJJJ1FOTg7Vrl2bEAEGu0Jvu+022rx5M51wwgl+MPf8DAugZ8i0fMDkzqYlIQEaxVxWBM/a/IK/xGH5E+00mUdHAURA7OrVq9P9998vgl/jbsAuXbqIM4GrVq0S9wKqSCyAKlCWX4fJnU0+umprYC4r4h2nzS9W603m0VEAARJE7uuvv6bjjz9ezP6wIxQH4NeuXausx7EAKoNaakUmdzapwEZQOHNZHvS4bX5hASRyJYC4BR4H4fEt0Erz5s0r+y6Yqu9t37693LnBZPn27t1LVatWFTPLdIkFMIIRTkKVPGhKADWiIpnL8sBbkV90jvuZzFVM5tGVAAI0hEKrVKkSfffdd1SjRg36zW9+k7Lb/fe//6UrrriCTj31VNq9ezf16NGDunbtSmPHjiWcHcTsEYKK8oqKimjatGmOIdVYACMa5UKu1uTOFjKUkRfHXJanoPeEheLWB90jvyQ6jsk8uhLA++67j6655hp66aWXxI0QWBLFGUCIUrJ09913U7169ahbt260aNEiGjJkCD333HM0dOhQmjt3LvXq1Uv8btOmTbRlyxbxs1NiAXRCKB5/N7mzxYMh961kLn/Gypr95dTOounDC92DqEFOk3l0JYCnn3461alTh5555hnKysqiq6++mmbMmOG4CxT3CGJ2h1kexK9NmzZiSRTCV1JSImaGs2bNEt8VnRILoBNC8fi7yZ0tHgy5byVz+TNWVtzPPoXN6NK8hu5B1CCnyTw6CuCBAwfEN7q//OUvNHXqVEEXRAvihYPxrVq1SknhPffcQ88++6xY3nzllVcIgbWXL18udpDOnDlThFjDRpqlS5eKGWW6slgANegpITTB5M4WAnxaFcFc/kTHsjWbaeyMYhHvc8qgdpSTnaUVT06NMZlHRwEEeL///e8JdwJeeumldPTRRxM2wBxzzDG0fv36pKHQnn/+eTrnnHPEGUF8M8Ssz35mEN8F+/fvTwMHDhT3DEL8BgwYQKWlpeK7IA7aY4aYmHD8ghMjwAgwAjohMObJ9+nb73+kjueeTBc0qatT07gtNgQQxSwxuRLADRs2EGZzTz31lDgCcckll9ANN9xA559/flKA//a3vwlhxEYXbJ7Jz8+nL774omyn54QJE6igoEB8/1uyZIm4ZikvL08IYKrlUJ4BZoYvm/y2mRkM/mwFc0k0r2QdPbxwJcXx25/FpMk8OgoglkCxCaZJkybUtm1b2rNnj/gOmC5B9Pr160cfffSRuEB33Lhx4jsg0rZt22jkyJFiOXX//v1iA8yyZcuEWPbs2TNlsSyAmTF8mtzZMoNBFkALAfu5v7jt/LT7osl90lEAARR2fUIIIWxO5/XswH755ZfiO98RRxxR9uudO3eKf3u9RokFMDOGT5M7W2YwyAJoITB70Sp6YvFq7W98d/I7k/ukKwHEmb7Zs2fTeeedJ2aC+E6HhO93CJOmIrEAqkBZfh0mdzb56KqtwWQu7TE/x/VtQ01zc9SCH2JtJvPoSgD5QtwQvS1NUSY7ohqE1dRiAo9A0gQ7U9kYx5ifqbzfZB5dCSB2bR4+fLgCfk7fAsMcbngGGCaa0ZVlcmeLDnU5NZvKZVxjfrIA+twF+v3334uD7C+++KI4voAbInAk4cwzz5TTs5KUygKoDGqpFZk6aEoFNaLCTeUyU779WW5jKo+w39UM8LLLLqM5c+YIvHAhLo4r4Cqkzz77LOk5QBn9kQVQBqrqyzS5s6lHW26NJnL50MKVNL9knQA27t/+WABdCKAVCWbMmDG0a9cusQv0oosuEofj33vvPWWzQBZAuYOZqtJNHDRVYau6HtO4tG98ifOxh0Q/MY1Hu/2OM0CEL8Ph9N69e4vZHv5DXNCbbrqJcN0RbolXkVgAVaAsvw6TO5t8dNXWYBqXVrzPlo3q04ii1mrBllibaTx6EkBkxs0NuOHBnhALFAGxVSUWQFVIy63H5M4mF1n1pZvEpRXxBfE+x/VrS7n11Lz4q2DVJB4T8XScAeIB7ABFEGtcZfTxxx9Ts2bNaNCgQY53+IVJHgtgmGhGV5bJnS061OXUbBKX1l1/Nxe1plaN6ssBNKJSTeLRkwAiasvTTz8trkFq1KiRuAYJl9xGkVgAo0A9/DpN7mzhoxltiaZwSTV+QddOeVnc9vDkqE7Rgi6hdlN49BwMGzs+77jjjjLIzz77bHr77bclUOBcJAugM0ZxyGFyZ4sDP17aaAqXY59ZI25675bfmLoXNPECUSzymsKjZwHEbO+UU04RM0Dc4AAxxA0OOTnqw/6wAMaiLzk20uTO5ghOzDKYwOX9c/5N/1rxRaxve3ByKxN4TGVj2m+AiPmJ4w+4veGNN94QN7qvWLFCfANUnVgAVSMupz6TO5scRKMrNdO5zNRjD4kek+k8wl7fAtixY0fq1KkTrV69WswAIYjWVPLyyy8Xt8WrSCyAKlCWX4fJnU0+umpryHQurWMPTRrUofH92qoFV2Ftmc5jIAFMx8OOHTs8X2vkl1cWQL/I6fWcyZ1NLyaCtyaTubTH+5w8qF1GHXvgGeDPCKRdAkX4s0OHDqXsKX/6059S3uAevHuVL4EFMGxEoykvkwdNC1ETbEz3Vh2NZ4VXK8Tvpgdfo0++/I5Oq3c03TPo4vAK17AkE/zV1xKoTlyxAOrEhv+2mNzZ/KOm55OZyuXi5Rto0jNvi2MPQ//v1/Tbs36tJwEhtSpTebTDwwIYkrPILMZkR5SJq+qyTeAxk2eA7W98SrhMn8Jm1LRelbI9D6r9SFV9JvgrC6AqbwpQj8mOGAA27R41gcdMFUAr5FlO7Syacm072vLF5yyA2vUw7w1iAfSOmfInTBg42UblbiWtwkzkEhFf8O3PCnmWiTYmOoTJNrqKBSqtB3komL8BegBL46wmdzaNafHVtEzjEsJnhTybPry9+AaYaTYmI9pkG1kAfXV9OQ+Z7IhyEI2mVBN4zLQlUPvOzw55Dalv4U/BPkzg0mQbWQCjGSOT1mqyI2pEQ+CmmMBjpomDfeenNfvLNBtTObYJ/srfAAMPa/ILMNkR5aOrrgYTeMw0ceg6Zi5hFph407sJXJpsI88A1Y2LjjWZ7IiO4MQogwk8ZpIAWrM/7PycPrywnKeZwKXJNrIAajSwmuyIGtEQuCkm8JgpAohZX+87F4jZX7Lrjkzg0mQbWQADD3fhFWCyI4aHYvQlmcBjpgjg2BnFtGzNZkoV8NoELk22kQUw+vGyrAUmO6JGNARuigk8ZoIAQvgggEjThxVSTnZWBe5N4NJkG1kAAw934RVgsiOGh2L0JZnAY9wFEEueg6a8LG56T3fdkQlcmmwjC2D04yXPADXiIIymmDCgxFkA7d/9cNj9yVGdUtJuApcm28gCGMaIF1IZJjtiSBBqUYwJPMZZAHHTA3Z+NqhXW1x0CxFMlUzg0mQbWQC1GDJ/aoTJjqgRDYGbYgKPcfVXK9wZ2j+ubxtqmpuTlm8TuDTZRhbAwMNdeAWY7IjhoRh9SSbwGEcBtH/3a9moPo0oau3oLCZwabKNLICOXUBdBpMdUR3K8msygcc4CuBDC1fS/JJ1YukT4pds12eid5jApck2sgDKHw9d12CyI7oGKQYZTeAxbgKI3Z7Y9YlZoHXVkRtXMoFLk21kAXTTCxTlMdkRFUGspBoTeIybAM5etIqeWLw67ZGHZM5hApcm2yhVALdv3061atWiypUrpxx49u7dS1WrVk2bBw/zfYBKxm7plZjc2aSDq7iCuHDpdeOLHca42BiEepNtlCKAn332GV1++eVUp04dqlKlCjVv3pxGjBhBY8eOpR07dlDNmjVp1KhRVKlSJSoqKqJp06aJ36VLLIBBXFyfZ03ubPqwEE5L4sKldct7fvNTaHCXlp6Mj4uNnoxKyGyyjVIE8Pbbb6f9+/fTmDFjCDO8GjVq0Jtvvkl///vfae7cudSrVy8aMmQIbdq0ibZs2SJ+dkosgE4IxePvJne2eDDkvpW6c4mZ3+Q5pYT/46zflEHtXG184Rmgex+IS85UvipFAPfs2SNmd9WrV6d58+bR9ddfT+vXr6e2bdtSdna2EL6SkhLq0aMHzZo1S8wSnRILoBNC8fi77oNmGCiaYCNw0tlO+6YXtDXxnj+3POtso1sbnPKZbKMUAQTg+/bto/Hjx9PEiRPp+eefF+J38OBBWr58uVgSnTlzJtWtW5fWrl1LS5cupWHDhlGrVq0EV8XFxUIgE1OXLl2cuOS/MwKMACNA9y78L63/8nuBxB1XNqca1VLvQ2C4zEAgNze3gqFSBBDLnpdddhlVq1aN7r33XqpXr165infv3k39+/engQMHCoGE+A0YMIBKS0vFzDFZ4hlgZjipyW+bmcHgz1boTCYvRAAAIABJREFUyqV904uXIw/J+NHVxjB9yWQbpQjggw8+SAsXLqT58+cn5WnChAlUUFAgvv8tWbKERo8eTXl5eUIAUy2HsgCG6fLRlWVyZ4sOdTk168glrjiaNKdUnPdLd8uDW0R0tNFt293mM9lGKQJ41VVX0aOPPloO/3Xr1tGvfvUr2rZtG40cOZKmTp0qNspgA8yyZcvErtCePXum5IwF0K07653P5M6mNzPeW6cbl5j53fTga0L83AS6dmOxbja6abPXPCbbKEUA0xGwc+dO8WecD/SSWAC9oKVvXpM7m76s+GuZblxaxx3CmPlZiOhmoz+m0j9lso3KBdAvgSyAfpHT6zmTO5teTARvjU5cWnE+YVWq2939WKyTjX7a7+YZk21kAXTjIYrymOyIiiBWUo0JPAJIXey0wpyhTUE3vSQ6iC42ynRck21kAZTpWR7LNtkRPUKldXYTeNRFAPG9r+uYucIfuuU3pu4FTUL1DRO4NNlGFsBQu0uwwkx2xGDI6fW0CTzqIoA3PfQ6ffDJVsqpnUXThxeG7ggmcGmyjSyAoXcZ/wWa7Ij+UdPvSRN41EEAJz3zNi1evkE4gN9IL07eYwKXJtvIAujUAxT+3WRHVAiz9KpM4DFqAYTwQQCROuQ1pL6FzaTwagKXJtvIAiil2/gr1GRH9IeYnk+ZwGOUAojvfr3vXCDO+8la+rQ8ywQuTbaRBVCjMdRkR9SIhsBNMYHHKAVw7IxiQsQX3PDw5KhOgflKV4AJXJpsIwug1O7jrXCTHdEbUnrnNoHHqAQwyOW2frzGBC5NtpEF0E+vkPSMyY4oCdJIijWBxygEMDHUGe73k51M4NJkG1kAZfcgD+Wb7IgeYNI+qwk8qhZAHHXA0qf13W98vzaeL7f14zgmcGmyjSyAfnqFpGdMdkRJkEZSrAk8qhRARHqZX7Iu1CDXbh3DBC5NtpEF0G1PUJDPZEdUAK+yKkzgUZUA2iO9tGxUn67r0lJsflGVTODSZBtZAFX1JBf1mOyILuCJTRYTeFQlgPNK1tHDC1cq2fGZzMFM4NJkG1kANRpWTXZEjWgI3BQTeFQhgFu376JBU14WS58y4ny6IdoELk22kQXQTS9QlMdkR1QEsZJqTOBRhQBa9/vhsPuUa9spXfq0HMUELk22kQVQyZDorhKTHdEdQvHIZQKPMgUQMz7c7I5jD0iTB7Wj3Hq1IyHfBC5NtpEFMJJulbxSkx1RIxoCN8UEHmUKoDXzQx19CpvRpXkNA3PitwATuDTZRhZAvz1DwnMmO6IEOCMr0gQeZQmgtelFB/GTZWNkjpmiYhP8NZWNLIAaeaPJjqgRDYGbYgKPMsQBh91xvx9SfvNTaHCXloG5CFqACVyabCMLYNAeEuLzJjtiiDBGXpQJPIYtgPYdnw3q1SYVYc7cOIoJXJpsIwugm16gKI/JjqgIYiXVmMBjmAJo3/QS5Y7PZM5hApcm28gCqGRIdFeJyY7oDqF45DKBxzAFEKHOnli8WhxzGNevbWQ7PlkA49G//LSSvwH6QU3xMyYMnGyjYqeSWF0YXFrih2YO7nwO5bdoILHF3osOw0bvtap9wmQbeQao1tfS1mayI2pEQ+CmmMBjGDNALH0i0gu+/+my6SWRfBO4NNlGFsDAw114BZjsiOGhGH1JJvAYhgBa5/2w9IlNLznZWdGTl9ACE7g02UYWQI26nMmOqBENgZtiAo9BBXDx8g006Zm3BdY3F7WmVo3qB8ZdRgEmcGmyjSyAMnqNzzJNdkSfkGn5mAk8BhFA+2F3XZc+LccygUuTbWQB1GgINdkRNaIhcFNM4NGvAC5bs1nc7I6E+/1GFLUOjLfMAkzg0mQbWQBl9h6PZZvsiB6h0jq7CTz6EUAEt8Z3PySdDruncyYTuDTZRhZAjYZSkx1RIxoCN8UEHr0KIMKcYeaHnZ8Qv/H92kZyvZFXck3g0mQbWQC99giJ+U12RImwKi/aBB69CKA9zJlukV6cnMMELk22kQXQqQco/LvJjqgQZulVmcCjWwG0hznDzK9vYTNqmpsjnYOwKjCBS5NtZAEMq6eEUI7JjhgCfNoUYQKPbgXQHuYMxx3iJH5ubdTG8Xw2xAR/TWUjC6BPp5HxmMmOKAPPqMo0gUc34mDf9BL1xbZ+fcEELk22UaoAHjhwgPbt20c1a9ZM6X979+6lqlWrUuXKldP66J133knDhw/368exeM5kR4wFQS4baQKP6QQQy54PLVxJOOyOFJcdn8noNYFLk22UIoAHDx6kVatW0fTp04Ww3XPPPcK3xo4dSzt27BCCOGrUKKpUqRIVFRXRtGnT0ooknmUBdDn6ap7N5M6mOTWem5eKSyvEGQrEWb/rurSMxY5PFkDPLhCbB5Qugf7www80cuRIeuedd6hFixZCANGAoUOH0ty5c6lXr140ZMgQ2rRpE23ZskX87JRYAJ0QisffWQDjwZObVibjMhOWPe22s7+68QT98ygVQAuO+++/n9avX182A2zTpg1lZ2cL4SspKaEePXrQrFmzqEqVKo4IsgA6QhSLDDygxIImV41M5NIe37NJgzrirF/cE/tr3Bn8qf1aCCCWRpcvX07NmzenmTNnUt26dWnt2rW0dOlSGjZsGLVq1Sol2iyAme2ImWFd+s6WSTYmDioQP3z3w/e/uC978gww0zxVEwG0YN29ezf179+fBg4cSBMnThTiN2DAACotLRXfBYuLi8UMMTF16dIl85hhixiBmCPwrxVf0BsffEV79h2kXxxVjYb9qQnVqJZ+U1vMTebmxxCB3NzcCq2Wsgkm1RKo9fsJEyZQQUGB+P63ZMkSGj16NOXl5QkBTLUcyjPAGHpckibzklJm8Agr5r22nB5+dX2ZQYjyMr5fGy3v9fOLOvurX+T0ei6yJdCPP/6Y7r777jI0tm3bJjbITJ06lfbv3y82wCxbtkzsCu3ZsycvgSZ5S9HLlYK1hgeUYPjp8vTiFZ/StHnviFkfhK9D64Z0aV5DXZoXWjvYX0ODMtKCIhHAZBbv3LlT/LpWrVqeAOEZoCe4tM3MA4q21Lhu2BOLVxMivCDhNvc4Rnhxayz7q1uk9M6njQD6hYkF0C9yej3HA4pefHhpDY44PLFoFeFOP6Smv6xNN/eKx60OXuy052V/9YucXs+xAOrFR9LWcGeLAUkumpiJPEL8Js8pJfwfaXDnc6hB9mFKtrHABUSxyZKJXCaCb7KNUjfBhOnlPAMME83oyjK5s0WHerCa7Xf5YclzXL+2lFuvdsqzVcFq0+tp9le9+PDbGp4B+kVO4XPc2RSCLbGqTOJx0jNvl4vpab/INpPsTOUObKPEjqKwaBZAhWD7rYo7m1/k9Hou7jziAlvs8pxXvFYcbEdKFtA67na68Rq20Q1K+udhAdSfI15SigFHbpoY50HTfns7bMWS5+AuLalVo/oVTI+znW54RB620S1SeudjAdSbH9E67mwxIMlFE+PKI8KZzV68miCCONvXt32zpMJnQRBXO11QWJaFbfSClr55WQD15YY7Wwy48dLEuA2aEDzE8bSON9g3uqSzO252euGQRd4PWvo+wwKoLzcsgDHgxksT4yIMEL75JetoXsm6MvM65DWk/BYNxC5PpxQXO53sYJH/xNjjLHwMIkjvCPlZHlBCBjSi4nTnMfHGdsCU3/wUIXxNc3Nco6a7na4NSZORbQwDxejL4Blg9Bw4toA7myNEscigM48404ejDZj9IeHevr7tm7ua8SWCr7OdYTkK2xgWktGWwwIYLf6uaufO5gom7TPpyGOyWR+iuWDW5zfpaKdfW1I9xzaGjWg05bEARoO7p1q5s3mCS9vMuvGIM33Y4YnZHxK+8+FYg5flzmRg62anDIdgG2Wgqr5MFkD1mHuukTubZ8i0fEAXHiF8uLXBWu4EWEFnfXbAdbFTphOwjTLRVVc2C6A6rH3XxJ3NN3RaPRglj1jqxHGGhxasKIvigmMNmPVd2vp0cbA9rBSlnWHZ4FQO2+iEUDz+zgIYA564s8WAJBdNjILHZOHLrItqC1o0CFX4LAiisNMF/KFmYRtDhTOywlgAI4PefcXc2dxjpXNOlTzieqKHF66kT77YXjbjg/DltziFuhc0kQqTSjulGpKmcLYxKuTDrZcFMFw8pZTGnU0KrMoLlckjljixoQXCt+GL7WX388FIBKy+9H8H2VUYLdNOFe13Uwfb6AYl/fOwAOrPEccCjQFHbpooY9CE4CFqy7LVm8pmelZbcJbvui4tKSc7y03zQssjw87QGhdSQWxjSEBGXAwLYMQEuKmeO5sblPTPI4NH7OZ8YvFqYTwED0cY8F/uCdlSvu+5QVmGnW7qVZmHbVSJtry6WADlYRtaydzZQoMy0oJk8GgJIEKW4XoiHZIMO3Wwy94GtlE3Rvy1hwXQH25Kn+LOphRuaZXJ4NESwG75jaVvbnELjAw73datKh/bqAppufWwAMrFN5TSubOFAmPkhYTFI777la7ZLCK4WLs8by5qnfaOPpXGh2WnyjZ7rYtt9IqYnvlZAPXkpVyruLPFgCQXTQyDR+z0RNBqe8LxhinXtovsm1+i6WHY6QLOSLOwjZHCH1rlLIChQSmvIO5s8rBVWbJfHjHbe2vNZhG6zIrb2bJRfcJBdtzPp3qXpxNmfu10Klenv7ONOrHhvy0sgP6xU/YkdzZlUEutyAuP1qW0i5ZvqHC8QafvfckA82KnVMAlFs42SgRXYdEsgArB9lsVdza/yOn1nFser53ycrmD7FjibNW4vvjGVzc7S7sZHy+B6uVnYbXGrb+GVV8U5bAARoG6xzpNdkSPUGmd3YlH3NKAA+0IWo3g1IjggjN9skOXhQ2ak51h1xdFeWxjFKiHXycLYPiYhl4id7bQIY2kQDuP1u0MWOrETk5828PvrBTm9USqjWV/VY24nPpM5rHS4cOHD8uBNdxS77zzTho+fHi4hWpWmsmOqBkVvpojNq9s2EbvfvgpfbP7MG3ZvqvcXXxWodaML4xLaX01NKSH2F9DAjLiYkzmkQUwYuezV2+yI2pEg2NTLKFLNatLVgAiuDQ4IZvObVRf+297jgD8LwP7q1uk9M5nMo8sgBr5psmOqBEN5ZqyasM28bO1fInD6fYb1u2Z8T0Ps7qqtI9+3+J08aesGtXEEYZMTOyvmcGqyTyyAGrkwyY7YlQ04HscblmwkhVxxX6/XmLbrI0rCERtnc+z79o0gUfxUvDJJ5SbmxsVdUrqZRuVwCy9Et4EIx3i4BVwZwuOIQRtw5ffVRC0XXv2lR05sP/bqUZ8r4PgQeCwhCluYHCY0ZnAIwugk+fE5+8m+CsLYAz80WRHdEOPfTnS2klpn6mlm7WlKx/RVixRs18v5Pcsngk8sgC68dh45DHBX1kAY+CLpjqiJWzWtzacj7MnKyyYGwqt5Ukrr13QMHuzJ1nf50zgkQXQjTfGI48J/hqJAO7atYtq1KhBRxxxREpP2Lt3L1WtWpUqV66c1lv4GEQ8OlOqVlpLk0uXr6VN2386B+d1xoaLYJHsopbq31GiZcKAwgIYpYeFW7cJ/qpUAL/++mvq3r07ValShTZu3Eg33HAD9erVi8aOHUs7duygmjVr0qhRo6hSpUpUVFRE06ZNE79Ll1gAw3X6dKVhl+PW73aXy5J4ps2NeLmduVnf2eziFsZSpDrEytdkwoDCAhiVd4Vfrwn+qlQA77jjDvr++++F4H311VdUr149WrVqFd1yyy00d+5cIYZDhgyhTZs20ZYtW8TPTkm2ACYb9J3aFPTviSKyfft2ys7ODlqseN6t+LgRsjAaZC1NHpt1BP3qlBPKvrn5/c4WRptklWHCgMICKMt71Jdrgr8qFcA+ffpQQUEBde3alRBoBkugH3/8MfXu3VsM8BC+kpIS6tGjB82aNUvMFJ2SbAG0btx2aocJf0dQ5pzs8jPyRKFyI1yJ39x40Mws7zF54MwkJk3mUco5wMsuu4zwX+fOnYWf1K1bl0pLS+mkk06i5cuXU/PmzWnmzJni92vXrqWlS5fSsGHDqFWrViJ/cXGxEEh7wnfC/ft/jqEYtgNu2XcUbd13VNjFpi3vyCMOUPUjDkipM6vyPqpS6ZBj2W7zORbEGRgBRoAR0BSBOnXq0J///OcKrZMigLfeeivVqlWLBg8eTAcPHhSzvu+++65sM8zu3bupf//+NHDgQJo4caIQvwEDBgiRxHfBZEn2DFAH3thGHVgI3gYTeARKJtjJNgbvDzqUkIpHKQI4f/58uu++++iVV16hOXPm0N13301vvfVWGQ4TJkwQS6T4/rdkyRIaPXo05eXlCQFMtRzKjqiDGwVvA/MYHENdSmAudWEiWDtM5lGKAO7Zs4cuvvhiWrNmDeHfr776KrVs2VKwtG3bNho5ciRNnTpVLGliA8yyZcvErtCePXumZNJkkoK5t15PM4968RGkNcxlEPT0edZkHqUIoEXt559/Tscff7w452elnTt3in9iidRLMpkkLzjpnpd51J0h9+1jLt1jpXNOk3mUKoBhko6NMa1btw6zSO3KYhu1o8RXg0zgEcCYYCfb6KsLaPdQKh5jI4DaIcoNYgQYAUaAEYg1AiyAsaaPG88IMAKMACPgF4GMEkB8X/T6bdEvcDKeO3DgAO3bt69cWLhDhw6JjURZWVkyquQyJSPgJh6u5CZw8QEQ+OGHH0Tfsx/P+vHHH8XP1apVC1CyPo8iHjNiMdv3aujTOueWYNwET7Vrl7942k3fywgBXL9+vThOgeMWq1evFojBSXH48cILLxQ/n3766XTbbbc5oxlBDpyVRKi46dOnC0e85557RCseeeQRmjRpEtWvX59AMqLmwKa4pzhx4xfrVPFw/Zan63P5+fl0zDHHlB1fmjFjBh155JG6Ntd1u7Zu3Urvv/8+derUiTC+5OTkiD543XXX0cqVK8X5ZgT0uPfee9MG+3ddYQQZIRAffPCBOIcNuzp27ChaESdOMeYjljROGWAChA09xx577P+3d28hVxVRHMD3o2E+KIIgmvfINFNKERFv4I28YYhID2KQkKGCIt4fhEhQnwQjTCR78Io3vEYJQqGYEvZiopASmE8KPfsSv4H52B7OzU+/79v7nFk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5 rows × 47 columns

\n", "
" ], "text/plain": [ " match_weight match_probability unique_id_l unique_id_r first_name_l \\\n", "0 18.131419 0.999997 Q2296770-1 Q2296770-14 thomas \n", "1 40.311237 1.000000 Q1443188-1 Q1443188-3 frank \n", "2 40.311237 1.000000 Q1443188-2 Q1443188-3 frank \n", "3 41.258395 1.000000 Q90404618-1 Q90404618-3 emlie \n", "4 41.258395 1.000000 Q90404618-2 Q90404618-3 emlie \n", "\n", " first_name_r gamma_first_name tf_first_name_l tf_first_name_r \\\n", "0 thomas 3 0.028667 0.028667 \n", "1 frank 3 0.006335 0.006335 \n", "2 frank 3 0.006335 0.006335 \n", "3 emlie 3 0.000099 0.000099 \n", "4 emlie 3 0.000099 0.000099 \n", "\n", " bf_first_name ... bf_birth_place bf_tf_adj_birth_place occupation_l \\\n", "0 44.380695 ... 1.000000 1.000000 politician \n", "1 44.380695 ... 0.154553 1.000000 liturgist \n", "2 44.380695 ... 0.154553 1.000000 liturgist \n", "3 44.380695 ... 178.565257 4.701184 playwright \n", "4 44.380695 ... 178.565257 4.701184 playwright \n", "\n", " occupation_r gamma_occupation tf_occupation_l tf_occupation_r \\\n", "0 politician 1 0.088932 0.088932 \n", "1 liturgist 1 0.000237 0.000237 \n", "2 liturgist 1 0.000237 0.000237 \n", "3 playwright 1 0.002728 0.002728 \n", "4 playwright 1 0.002728 0.002728 \n", "\n", " bf_occupation bf_tf_adj_occupation match_key \n", "0 22.786409 0.443341 0 \n", "1 22.786409 166.178966 0 \n", "2 22.786409 166.178966 0 \n", "3 22.786409 14.450345 0 \n", "4 22.786409 14.450345 0 \n", "\n", "[5 rows x 47 columns]" ] }, "execution_count": 11, "metadata": {}, "output_type": "execute_result" } ], "source": [ "df_predict = linker.predict()\n", "df_e = df_predict.as_pandas_dataframe(limit=5)\n", "df_e" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "You can also view rows in this dataset as a waterfall chart as follows:" ] }, { "cell_type": "code", "execution_count": 12, "metadata": {}, "outputs": [ { "data": { "application/vnd.vegalite.v4+json": { "$schema": "https://vega.github.io/schema/vega-lite/v5.2.0.json", "config": { "view": { "continuousHeight": 300, "continuousWidth": 400 } }, "data": { "values": [ { "bar_sort_order": 0, "bayes_factor": 0.00013584539607096294, "bayes_factor_description": null, "column_name": "Prior", "comparison_vector_value": null, "label_for_charts": "Starting match weight (prior)", "log2_bayes_factor": -12.845746707461347, "m_probability": null, "record_number": 0, "sql_condition": null, "term_frequency_adjustment": null, "u_probability": null, "value_l": "", "value_r": "" }, { "bar_sort_order": 1, "bayes_factor": 44.38069517984217, "bayes_factor_description": "If comparison level is `exact match` then comparison is 44.38 times more likely to be a match", "column_name": "first_name", "comparison_vector_value": 3, "label_for_charts": "Exact match", "log2_bayes_factor": 5.471860360994973, "m_probability": 0.5538271289013507, "record_number": 0, "sql_condition": "\"first_name_l\" = \"first_name_r\"", "term_frequency_adjustment": false, "u_probability": 0.012479009773440873, "value_l": "thomas", "value_r": "thomas" }, { "bar_sort_order": 2, "bayes_factor": 0.4353088830568176, "bayes_factor_description": "Term frequency adjustment on first_name makes comparison 2.30 times less likely to be a match", "column_name": "tf_first_name", "comparison_vector_value": 3, "label_for_charts": "Term freq adjustment on first_name with weight {cl.tf_adjustment_weight}", "log2_bayes_factor": -1.199888634349744, "m_probability": null, "record_number": 0, "sql_condition": "\"first_name_l\" = \"first_name_r\"", "term_frequency_adjustment": true, "u_probability": null, "value_l": "thomas", "value_r": "thomas" }, { "bar_sort_order": 3, "bayes_factor": 1005.2488816535835, "bayes_factor_description": "If comparison level is `exact match` then comparison is 1,005.25 times more likely to be a match", "column_name": "surname", "comparison_vector_value": 3, "label_for_charts": "Exact match", "log2_bayes_factor": 9.973337015792923, "m_probability": 0.7826404106098656, "record_number": 0, "sql_condition": "\"surname_l\" = \"surname_r\"", "term_frequency_adjustment": false, "u_probability": 0.0007785538734670978, "value_l": "chudleigh", "value_r": "chudleigh" }, { "bar_sort_order": 4, "bayes_factor": 2.5616090766796376, "bayes_factor_description": "Term frequency adjustment on surname makes comparison 2.56 times more likely to be a match", "column_name": "tf_surname", "comparison_vector_value": 3, "label_for_charts": "Term freq adjustment on surname with weight {cl.tf_adjustment_weight}", "log2_bayes_factor": 1.357050324950529, "m_probability": null, "record_number": 0, "sql_condition": "\"surname_l\" = \"surname_r\"", "term_frequency_adjustment": true, "u_probability": null, "value_l": "chudleigh", "value_r": "chudleigh" }, { "bar_sort_order": 5, "bayes_factor": 16.304853457109424, "bayes_factor_description": "If comparison level is `levenshtein <= 1` then comparison is 16.30 times more likely to be a match", "column_name": "dob", "comparison_vector_value": 2, "label_for_charts": "levenshtein <= 1", "log2_bayes_factor": 4.027229569543101, "m_probability": 0.3414724371674664, "record_number": 0, "sql_condition": "levenshtein(\"dob_l\", \"dob_r\") <= 1", "term_frequency_adjustment": false, "u_probability": 0.020942993328073964, "value_l": "1630-08-01", "value_r": "1638-08-01" }, { "bar_sort_order": 6, "bayes_factor": 1, "bayes_factor_description": "If comparison level is `levenshtein <= 1` then comparison is 16.30 times more likely to be a match", "column_name": "tf_dob", "comparison_vector_value": 2, "label_for_charts": "levenshtein <= 1", "log2_bayes_factor": 0, "m_probability": 0.3414724371674664, "record_number": 0, "sql_condition": "levenshtein(\"dob_l\", \"dob_r\") <= 1", "term_frequency_adjustment": true, "u_probability": 0.020942993328073964, "value_l": "", "value_r": "" }, { "bar_sort_order": 7, "bayes_factor": 257.9570279687483, "bayes_factor_description": "If comparison level is `levenshtein <= 2` then comparison is 257.96 times more likely to be a match", "column_name": "postcode_fake", "comparison_vector_value": 1, "label_for_charts": "levenshtein <= 2", "log2_bayes_factor": 8.010986942632977, "m_probability": 0.14283253545492916, "record_number": 0, "sql_condition": "levenshtein(\"postcode_fake_l\", \"postcode_fake_r\") <= 2", "term_frequency_adjustment": false, "u_probability": 0.0005537067029328367, "value_l": "tq13 8df", "value_r": "tq1w 8df" }, { "bar_sort_order": 8, "bayes_factor": 1, "bayes_factor_description": "If comparison level is `levenshtein <= 2` then comparison is 257.96 times more likely to be a match", "column_name": "tf_postcode_fake", "comparison_vector_value": 1, "label_for_charts": "levenshtein <= 2", "log2_bayes_factor": 0, "m_probability": 0.14283253545492916, "record_number": 0, "sql_condition": "levenshtein(\"postcode_fake_l\", \"postcode_fake_r\") <= 2", "term_frequency_adjustment": true, "u_probability": 0.0005537067029328367, "value_l": "", "value_r": "" }, { "bar_sort_order": 9, "bayes_factor": 1, "bayes_factor_description": "If comparison level is `null` then comparison is 1.00 times more likely to be a match", "column_name": "birth_place", "comparison_vector_value": -1, "label_for_charts": "Null", "log2_bayes_factor": 0, "m_probability": null, "record_number": 0, "sql_condition": "\"birth_place_l\" IS NULL OR \"birth_place_r\" IS NULL", "term_frequency_adjustment": false, "u_probability": null, "value_l": "devon", "value_r": "nan" }, { "bar_sort_order": 10, "bayes_factor": 1, "bayes_factor_description": "If comparison level is `null` then comparison is 1.00 times more likely to be a match", "column_name": "tf_birth_place", "comparison_vector_value": -1, "label_for_charts": "Null", "log2_bayes_factor": 0, "m_probability": null, "record_number": 0, "sql_condition": "\"birth_place_l\" IS NULL OR \"birth_place_r\" IS NULL", "term_frequency_adjustment": true, "u_probability": null, "value_l": "", "value_r": "" }, { "bar_sort_order": 11, "bayes_factor": 22.786409000874144, "bayes_factor_description": "If comparison level is `exact match` then comparison is 22.79 times more likely to be a match", "column_name": "occupation", "comparison_vector_value": 1, "label_for_charts": "Exact match", "log2_bayes_factor": 4.510101677461878, "m_probability": 0.8984037058710215, "record_number": 0, "sql_condition": "\"occupation_l\" = \"occupation_r\"", "term_frequency_adjustment": false, "u_probability": 0.03942717370852759, "value_l": "politician", "value_r": "politician" }, { "bar_sort_order": 12, "bayes_factor": 0.4433409497176319, "bayes_factor_description": "Term frequency adjustment on occupation makes comparison 2.26 times less likely to be a match", "column_name": "tf_occupation", "comparison_vector_value": 1, "label_for_charts": "Term freq adjustment on occupation with weight {cl.tf_adjustment_weight}", "log2_bayes_factor": -1.1735114699748315, "m_probability": null, "record_number": 0, "sql_condition": "\"occupation_l\" = \"occupation_r\"", "term_frequency_adjustment": true, "u_probability": null, "value_l": "politician", "value_r": "politician" }, { "bar_sort_order": 13, "bayes_factor": 287144.8337230671, "bayes_factor_description": null, "column_name": "Final score", "comparison_vector_value": null, "label_for_charts": "Final score", "log2_bayes_factor": 18.131419079590458, "m_probability": null, "record_number": 0, "sql_condition": null, "term_frequency_adjustment": null, "u_probability": null, "value_l": "", "value_r": "" }, { "bar_sort_order": 0, "bayes_factor": 0.00013584539607096294, "bayes_factor_description": null, "column_name": "Prior", "comparison_vector_value": null, "label_for_charts": "Starting match weight (prior)", "log2_bayes_factor": -12.845746707461347, "m_probability": null, "record_number": 1, "sql_condition": null, "term_frequency_adjustment": null, "u_probability": null, "value_l": "", "value_r": "" }, { "bar_sort_order": 1, "bayes_factor": 44.38069517984217, "bayes_factor_description": "If comparison level is `exact match` then comparison is 44.38 times more likely to be a match", "column_name": "first_name", "comparison_vector_value": 3, "label_for_charts": "Exact match", "log2_bayes_factor": 5.471860360994973, "m_probability": 0.5538271289013507, "record_number": 1, "sql_condition": "\"first_name_l\" = \"first_name_r\"", "term_frequency_adjustment": false, "u_probability": 0.012479009773440873, "value_l": "frank", "value_r": "frank" }, { "bar_sort_order": 2, "bayes_factor": 1.9697726958320996, "bayes_factor_description": "Term frequency adjustment on first_name makes comparison 1.97 times more likely to be a match", "column_name": "tf_first_name", "comparison_vector_value": 3, "label_for_charts": "Term freq adjustment on first_name with weight {cl.tf_adjustment_weight}", "log2_bayes_factor": 0.9780291578460991, "m_probability": null, "record_number": 1, "sql_condition": "\"first_name_l\" = \"first_name_r\"", "term_frequency_adjustment": true, "u_probability": null, "value_l": "frank", "value_r": "frank" }, { "bar_sort_order": 3, "bayes_factor": 1005.2488816535835, "bayes_factor_description": "If comparison level is `exact match` then comparison is 1,005.25 times more likely to be a match", "column_name": "surname", "comparison_vector_value": 3, "label_for_charts": "Exact match", "log2_bayes_factor": 9.973337015792923, "m_probability": 0.7826404106098656, "record_number": 1, "sql_condition": "\"surname_l\" = \"surname_r\"", "term_frequency_adjustment": false, "u_probability": 0.0007785538734670978, "value_l": "brightman", "value_r": "brightman" }, { "bar_sort_order": 4, "bayes_factor": 5.97708784558582, "bayes_factor_description": "Term frequency adjustment on surname makes comparison 5.98 times more likely to be a match", "column_name": "tf_surname", "comparison_vector_value": 3, "label_for_charts": "Term freq adjustment on surname with weight {cl.tf_adjustment_weight}", "log2_bayes_factor": 2.579442746286977, "m_probability": null, "record_number": 1, "sql_condition": "\"surname_l\" = \"surname_r\"", "term_frequency_adjustment": true, "u_probability": null, "value_l": "brightman", "value_r": "brightman" }, { "bar_sort_order": 5, "bayes_factor": 300.62635442082427, "bayes_factor_description": "If comparison level is `exact match` then comparison is 300.63 times more likely to be a match", "column_name": "dob", "comparison_vector_value": 3, "label_for_charts": "Exact match", "log2_bayes_factor": 8.231827678488772, "m_probability": 0.6186180786212699, "record_number": 1, "sql_condition": "\"dob_l\" = \"dob_r\"", "term_frequency_adjustment": false, "u_probability": 0.002057763963552287, "value_l": "1856-06-18", "value_r": "1856-06-18" }, { "bar_sort_order": 6, "bayes_factor": 20.15322581804021, "bayes_factor_description": "Term frequency adjustment on dob makes comparison 20.15 times more likely to be a match", "column_name": "tf_dob", "comparison_vector_value": 3, "label_for_charts": "Term freq adjustment on dob with weight {cl.tf_adjustment_weight}", "log2_bayes_factor": 4.332938876529413, "m_probability": null, "record_number": 1, "sql_condition": "\"dob_l\" = \"dob_r\"", "term_frequency_adjustment": true, "u_probability": null, "value_l": "1856-06-18", "value_r": "1856-06-18" }, { "bar_sort_order": 7, "bayes_factor": 5217.787373489478, "bayes_factor_description": "If comparison level is `exact match` then comparison is 5,217.79 times more likely to be a match", "column_name": "postcode_fake", "comparison_vector_value": 2, "label_for_charts": "Exact match", "log2_bayes_factor": 12.349222439729221, "m_probability": 0.6886356891788876, "record_number": 1, "sql_condition": "\"postcode_fake_l\" = \"postcode_fake_r\"", "term_frequency_adjustment": false, "u_probability": 0.0001319784881763688, "value_l": "bs2 0el", "value_r": "bs2 0el" }, { "bar_sort_order": 8, "bayes_factor": 1.0334443538162383, "bayes_factor_description": "Term frequency adjustment on postcode_fake makes comparison 1.03 times more likely to be a match", "column_name": "tf_postcode_fake", "comparison_vector_value": 2, "label_for_charts": "Term freq adjustment on postcode_fake with weight {cl.tf_adjustment_weight}", "log2_bayes_factor": 0.047460708420173185, "m_probability": null, "record_number": 1, "sql_condition": "\"postcode_fake_l\" = \"postcode_fake_r\"", "term_frequency_adjustment": true, "u_probability": null, "value_l": "bs2 0el", "value_r": "bs2 0el" }, { "bar_sort_order": 9, "bayes_factor": 0.15455254407354788, "bayes_factor_description": "If comparison level is `all other comparisons` then comparison is 6.47 times less likely to be a match", "column_name": "birth_place", "comparison_vector_value": 0, "label_for_charts": "All other comparisons", "log2_bayes_factor": -2.693830692440934, "m_probability": 0.15382015497256674, "record_number": 1, "sql_condition": "ELSE", "term_frequency_adjustment": false, "u_probability": 0.9952612290831484, "value_l": "bristol", "value_r": "bristol, city of" }, { "bar_sort_order": 10, "bayes_factor": 1, "bayes_factor_description": "If comparison level is `all other comparisons` then comparison is 6.47 times less likely to be a match", "column_name": "tf_birth_place", "comparison_vector_value": 0, "label_for_charts": "All other comparisons", "log2_bayes_factor": 0, "m_probability": 0.15382015497256674, "record_number": 1, "sql_condition": "ELSE", "term_frequency_adjustment": true, "u_probability": 0.9952612290831484, "value_l": "", "value_r": "" }, { "bar_sort_order": 11, "bayes_factor": 22.786409000874144, "bayes_factor_description": "If comparison level is `exact match` then comparison is 22.79 times more likely to be a match", "column_name": "occupation", "comparison_vector_value": 1, "label_for_charts": "Exact match", "log2_bayes_factor": 4.510101677461878, "m_probability": 0.8984037058710215, "record_number": 1, "sql_condition": "\"occupation_l\" = \"occupation_r\"", "term_frequency_adjustment": false, "u_probability": 0.03942717370852759, "value_l": "liturgist", "value_r": "liturgist" }, { "bar_sort_order": 12, "bayes_factor": 166.1789659858257, "bayes_factor_description": "Term frequency adjustment on occupation makes comparison 166.18 times more likely to be a match", "column_name": "tf_occupation", "comparison_vector_value": 1, "label_for_charts": "Term freq adjustment on occupation with weight {cl.tf_adjustment_weight}", "log2_bayes_factor": 7.376593975081829, "m_probability": null, "record_number": 1, "sql_condition": "\"occupation_l\" = \"occupation_r\"", "term_frequency_adjustment": true, "u_probability": null, "value_l": "liturgist", "value_r": "liturgist" }, { "bar_sort_order": 13, "bayes_factor": 1364242486427.0674, "bayes_factor_description": null, "column_name": "Final score", "comparison_vector_value": null, "label_for_charts": "Final score", "log2_bayes_factor": 40.31123723672998, "m_probability": null, "record_number": 1, "sql_condition": null, "term_frequency_adjustment": null, "u_probability": null, "value_l": "", "value_r": "" }, { "bar_sort_order": 0, "bayes_factor": 0.00013584539607096294, "bayes_factor_description": null, "column_name": "Prior", "comparison_vector_value": null, "label_for_charts": "Starting match weight (prior)", "log2_bayes_factor": -12.845746707461347, "m_probability": null, "record_number": 2, "sql_condition": null, "term_frequency_adjustment": null, "u_probability": null, "value_l": "", "value_r": "" }, { "bar_sort_order": 1, "bayes_factor": 44.38069517984217, "bayes_factor_description": "If comparison level is `exact match` then comparison is 44.38 times more likely to be a match", "column_name": "first_name", "comparison_vector_value": 3, "label_for_charts": "Exact match", "log2_bayes_factor": 5.471860360994973, "m_probability": 0.5538271289013507, "record_number": 2, "sql_condition": "\"first_name_l\" = \"first_name_r\"", "term_frequency_adjustment": false, "u_probability": 0.012479009773440873, "value_l": "frank", "value_r": "frank" }, { "bar_sort_order": 2, "bayes_factor": 1.9697726958320996, "bayes_factor_description": "Term frequency adjustment on first_name makes comparison 1.97 times more likely to be a match", "column_name": "tf_first_name", "comparison_vector_value": 3, "label_for_charts": "Term freq adjustment on first_name with weight {cl.tf_adjustment_weight}", "log2_bayes_factor": 0.9780291578460991, "m_probability": null, "record_number": 2, "sql_condition": "\"first_name_l\" = \"first_name_r\"", "term_frequency_adjustment": true, "u_probability": null, "value_l": "frank", "value_r": "frank" }, { "bar_sort_order": 3, "bayes_factor": 1005.2488816535835, "bayes_factor_description": "If comparison level is `exact match` then comparison is 1,005.25 times more likely to be a match", "column_name": "surname", "comparison_vector_value": 3, "label_for_charts": "Exact match", "log2_bayes_factor": 9.973337015792923, "m_probability": 0.7826404106098656, "record_number": 2, "sql_condition": "\"surname_l\" = \"surname_r\"", "term_frequency_adjustment": false, "u_probability": 0.0007785538734670978, "value_l": "brightman", "value_r": "brightman" }, { "bar_sort_order": 4, "bayes_factor": 5.97708784558582, "bayes_factor_description": "Term frequency adjustment on surname makes comparison 5.98 times more likely to be a match", "column_name": "tf_surname", "comparison_vector_value": 3, "label_for_charts": "Term freq adjustment on surname with weight {cl.tf_adjustment_weight}", "log2_bayes_factor": 2.579442746286977, "m_probability": null, "record_number": 2, "sql_condition": "\"surname_l\" = \"surname_r\"", "term_frequency_adjustment": true, "u_probability": null, "value_l": "brightman", "value_r": "brightman" }, { "bar_sort_order": 5, "bayes_factor": 300.62635442082427, "bayes_factor_description": "If comparison level is `exact match` then comparison is 300.63 times more likely to be a match", "column_name": "dob", "comparison_vector_value": 3, "label_for_charts": "Exact match", "log2_bayes_factor": 8.231827678488772, "m_probability": 0.6186180786212699, "record_number": 2, "sql_condition": "\"dob_l\" = \"dob_r\"", "term_frequency_adjustment": false, "u_probability": 0.002057763963552287, "value_l": "1856-06-18", "value_r": "1856-06-18" }, { "bar_sort_order": 6, "bayes_factor": 20.15322581804021, "bayes_factor_description": "Term frequency adjustment on dob makes comparison 20.15 times more likely to be a match", "column_name": "tf_dob", "comparison_vector_value": 3, "label_for_charts": "Term freq adjustment on dob with weight {cl.tf_adjustment_weight}", "log2_bayes_factor": 4.332938876529413, "m_probability": null, "record_number": 2, "sql_condition": "\"dob_l\" = \"dob_r\"", "term_frequency_adjustment": true, "u_probability": null, "value_l": "1856-06-18", "value_r": "1856-06-18" }, { "bar_sort_order": 7, "bayes_factor": 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1g+ypX7+++3Cp48uHHNlzzz2tY8eO1qtXryB6qC5q0KCBuz+pgVdffbV98cUXQYLlu/Xs2TPIvTvuuEOyKN9wdTwREAEREAERKCEByaISgtPHREAEREAESk7AI4t+/fVXO/fcc+25556zOnXq2MUXX2ynnHKKUeGA5OjXr1+4AT7hhBPs9ttvD0/Uuvfee23GjBnh8eyp7aeffrLzzjvPRo8ebdyQDxgwoOhR7SNGjLCbbrrJJk+ebB06dLDrrrvONtpoI5s/f76deeaZ9uKLL1qzZs3CDTfvU1nEMbhx5ufoo48OlRvpy4WyfT7buBYvXmytW7e2Y445xu6//36rUaOG8aj5Bx54wN58801r165deH3BggV22GGHWefOne2uu+4Kw6T/nTp1Cr/PNh6Og1BBYKy22mqBF1yoNKGi5dZbb7UJEybYwQcfHHjWrFkz8IUBryOVBg4cGKo/qMDhnFSFwbxu3brhRn+33XZbISmeeeaZcA7GfcQRR9j1118fKn5Gjhxpl1xyic2cOTOMjXNSbTZ48ODQR/o6atQo22WXXcIT1OgfVUPEMBY+l2k85AMiEnZUqa277rp27bXXBl5jx44N88u5aWPGjAljuuGGG2yvvfay7777zg499FCjz4wRiUFe7LPPPiEOAcS8UsX0xBNPWO3atcPxDjjggOXGjaQh16iCev311+3nn3/OyDH1Q5dddtly43v33XcD92rVqoVjwYGqHvpQXD5Hx2TMvXv3ts022yyMj1zddNNNrUuXLiHPTjvtNLv55puNvGMeTj755GLzJ5ssYr6+/vprmzt3rr311lvh+C1atCiqYOIc+++/fzg2fXrkkUeMpZy8Rr+YC+aMRp706NEjcCC34XvGGWfY2WefbcizbDxSOWabH86Z6bhUNNEvxrFkyZLw/WOsa621lp111lkh77kG0Ucqxcirp59+OuTVhRdeGF5TEwEREAEREIGKSECyqCLOqsYkAiIgAuWcQCSLqOTYcMMNi3r79ttvG8uBWIbGTdv48ePDDeUff/wRpMyrr75qs2fPDjfrVIAgKk499dRww47MoYoC2cEysagtW7bMmjdvHm7uLrroInvjjTdCPDeVVFpEYoEYbq4RIIgBxAYyAiny8ssv25NPPhluitu0aRMkAzeX3IByQ0m/uQFPbdk+f/zxx2ccFxIKMbDtttuG8d15551BEiDIuLFmXAgKZA19RmDBBqHC8r1ffvnFGGu28XADTFUO4gNWHJvxcTOPjHvqqadsvfXWCzfr3Bgzri222MJ22GGHwAX2VH5NmTLFJk2aZHvvvbcdcsghQYLQX/Zweuedd5ZjQOUYn0f0bLnllkHYIUV23nnnwJn552YbuYdMQpBwrP79+wcZCAv6wQ8899tvv9A3zgn/TONBJkZ8kA/c6LPUjrEiv8gXRBMNEYiQ/PTTT8PYbrnlljDXyELy8pxzzgliDsH1+++/h/EhBhFA8HzllVdCHxAua6yxRtHYmRM4Dx8+PEgoxpGJI5Itakip1PExp3CAfdOmTcNyMgQPY8qWz+R41L755puQM/zAD9m61VZbWffu3UOe8XvOwbyzXI3KHuawuPzJVFmExKGfSBREHnwZFzxfe+21kGd8V2EMCyoHyTOW+yHzEIzkAQIYtnw/kTCPP/54+I4ed9xxQeIxh5l4wD+1ZZsfPp/puMwlOY8wYo647nTt2jXkZPv27YOoZUyIQzghipDNixYtCrmIIGvbtm05v+KqeyIgAiIgAiIQn4BkUXxm+oQIiIAIiMBKEohkEeKDCpaocVNJ1cv7779v66yzThAUVPPQuIljiRGygRvaH3/8McgfxFK9evXCjTk37F999VXYmyVqVCPsuuuuQRY0bNgwCBVEADImqgCh6oTKCG5GJ06caC+99FI4PzeKxCCFuClFHiAtuIlEZtCo+KD6IarM4DXEQqbPcxPauHHjjONCUHETz80rx6eKBLHEsagyOvDAA0M1EMdg/DDiRpvxIHWottl+++3DzXn6eNivBrmBtIEbUoCbfJhQbcHSJMQBx2YJFeKA9/bdd9+i8zMu5gpJg1xCFlHlxJwgTagooa+pjYoVxFokkRgblV8IJ26yGQONOYMLopAbct6LPoMs4XWWP6Uu08o2nkgWISqQE//++28QhfBlSVgmWUTepS5DQxohCelrpUqVQnURFSawQyKwxw7VTggvxof8St1AOnUZGmItG8ejjjpqOV7py9AQJ8wdDdmD5EL2ZMtnqqJSGwIT2YhwIZdSZVGU28xhVEWG5Ckuf7LJotR+brDBBkHmRZVA9JWKHeYc+YPo4vuPLEKCEpe6DI0cp0oO+URDKCHbOEcmHunL4hBjmeYHoZPpuJwbsRdVI7JHFN9tWPM9pBqL7xZ5RPUg38tovzKYklt8r9REQAREQAREoKIRkCyqaDOq8YiACIhAAgjkWoZGtQPig+U7LLuhcVOJyGHZCjKIqhpuDJE+iBRu2hE5UdVIhIFKAERGemOZy4knnhhkCVUQ3DRTGYE4QYhw/kx7zlABhBhCrNC4oUTO0JeoIbAyfT56PdO4qBpCFlERgvyh31TZRJt9MwbkxEknnRRkUeoxqEjZY489gkjINJ5IFqXe7Eey6KGHHgpihJtmGjfwiBVkAjfBqZuNM3YqbRgb8o4qLxrLuxB/iKvUxnwgIBBR6a9TvUNVEw05hWyhkoz5RdJwg06jimPcuHFBBqbLokzjiWTRwoULA08awhFxROVIqixiyR7M0mURUpBlcemN6hjkANVQ5BtLvKj4YZlUakuVRUiobBypqElt6bIISRZtQM644INgypbPqRV1HLc4WRTlGXEIsf/+979BiHnzJ+o3eZTaT76bVO5RdQYvluIxv8hYqqKQLchPGhU96bIIcYUwTN9oPP08EQ/yIrVxbck0P9mOy+v06aCDDgqHQUiRK+Qy322OhXCbNWtWqDhLb8wFVYdqIiACIiACIlDRCEgWVbQZ1XhEQAREIAEEcsmijz76KNzof/LJJ+Fmk8ZNGVU8LKFCbCCFWDLE8iUqi6gcQCwhj1JbtCSIfV6im1QkA1IIiYLo4SZ8p512CpLoscceC5UyxFKVRNUIVQUcF1HCT+rT0DLJIkRFps8jYhAMmcaFoGDMLLlp1KhRTlmUWilFFRNLpajqyDSe4mQRYoiKDwQU0oebcn7PkicqMXiPigpunjkPbFiCg2iLxFw2WUSl1scffxyWgtGYV+YeAYWcYG8gWiQVWM6FBEh9ClhJZRF9Q/7R4MINPdICyRdJLiQWVUTpsojqNaraqLKhLV26NGzGztI/liIyPyz7QzaxjI18ojIqaqmyiIqabBx333335XK1uA2uIzlC7lEJkymfqfhKbcXJoijPiI9kEa958yc6T/pG3Mgi5ozlb6myiCozKn6Qonz3IvmZLovoMxVSLFmkIYOo7kG6peZFNlnEPGWaH/I503FZmsZ3OpK9SGTmlTznu42cQw6zFJYqOmQmr9PIMb4byF01ERABERABEahoBCSLKtqMajwiIAIikAACuWQRMoGbTTa4peqFqh+WorA8CWHEjRxLe6L/1Wc5CNUB3FhS0ZDaqMDhJppKJG7sWZ7EzTs3lQgBqhiQN9zgc8zVV189LI+iWonPUf3CBtAIBAQNUiqXLOL82T7PjWmmcSEb4sgibr6RMdx8s8wo13jSNyiOKouobmFMyBtEVrR8iDEj3+BGNRPcqBSCExLFI4uQcGxejdSjaoUKH6QYApBzstyPaiXGwpxzI54uH1JlEXNPZRA3/tnGE1UWsUQRPsi/bt26BVGE6EHIsMcU+cT+UwgqZBH7FxGHkKCqCiFDXLQ3FBt48x7zR//JB/ISRggx9hWKGgKTfXmYE5Z+ZePIksvUljq+dA6RHGHPn2z5TOXZysgiqmqyfR+ybXDtlUVwQ+Ig6ODF/JN7zBFL7PhuIfSQl2yCPWzYsCBoqGJj3njNI4u4bmSaH3I203HJQZay8T1CLlJVhDCjb6myCK5s3I24QipTaUSOkAfkpJoIiIAIiIAIVDQCkkUVbUY1HhEQARFIAAFu+rgx42Y69QaX5WDcDCMOWOaDvOGGnIaw4CaN/8mPKne4gWd/FJ4SxvtUe9SqVWsFAtyEpj61iBtvBAU3fCzfYokMjeoCltBwHqRCtC8PfaUChcoE5IZHFrF0KtPns42LDX5zySJunBEaVP5Q8cRNNxVM7KeEHCluPEgzNnhGqtFSl/Ug3Vj2xpIxllmxBIyqF/iyxIpzMA+IBM7P3kMeWURFFvMSLaXiqWEsMWRvKTYs5wadY/PkKSpH2K8mkyyiIokqJPYvYiNijsEyqkzjYRkVfJARUWUQS8qYW/aeYske4ovzIrKofkEWwQ7hw/jZo4glUtEyObiw4TLxCEt+jarUYMc+N+mNPGGuyXXEWyaO6Z9JHR/fjXQ5wnzDIVs+px+PKh1EBnvspO9ZlF5ZhDBFYmb7PqTnT3SuTLKIKjeWdaVWjCHeEEY0ZBfzwLwgKZHHCFwYIV/43ke5TYUR+wllkmcRj9RxZ5ufOXPmZDwuFVpIH/aWoiEHX3jhhfBdQBaRp+QwjRiqA+kvDTHNXFStWjUBV111UQREQAREQATiEZAsisdL0SIgAiIgAqVIIKr6YEPqaO+ikp6eKgWqF9h3hKqPqLG8ClnA5tdUevz222+hugiBgVxAIiAfWKoTt2X7/MqMK6rKonqFvnLjTV894ymu/+w7w0bEPLUstXEezknVUeomznFYIPGQfKlP6+LzsEVCbb755oG9p1HZxHI4jpersUyIuWb5UGpDECAVmefUxnxRgRSJICQiS9ZYZrTmmmsWhbKR97Rp00K/o32RMvWFJXxRrnk5eseXLZ9zMcn1fnHfh1yfzfU+QpQ557vG9wm+zANzCVMkYvRUOXIOYZM+R7nOwfvFzU+m4/7zzz/h2sC5cn3XyRGWFpJT0TJHT58UIwIiIAIiIAJJIyBZlLQZU39FQAREQARWaQKRLEIUpT5JbpWGosGLgAiIgAiIgAiIgAjklYBkUV5x6mAiIAIiIAIiUFgCVOKw2TZP4SpJ1UVhe6eji4AIiIAIiIAIiIAIVAQCkkUVYRY1BhEQAREQAREQAREQAREQAREQAREQARHIEwHJojyB1GFEQAREQAREQAREQAREQAREQAREQAREoCIQkCyqCLOoMYiACIiACIiACIiACIiACIiACIiACIhAnghIFuUJpA4jAiIgAiIgAiIgAiIgAiIgAqs6gUWLFoUnXJbFvno8bZSW+gTLJM4HT2nkCZIw9D4tNInjVJ/LNwHJovI9P+qdCIiACIiACIiACIiACIiACJRbAp9++qmNHDnSjj/+eKtevbrVqlXLzj33XBs0aFBB+/ziiy/aJ598Yr179w7nOeaYY+yxxx6zK6+80vr06VPQcxfi4Knj4fedOnWyYcOGWefOnQtxOh1TBHISkCzKiUgBIiACIiACIiACIiACIiACIiACmQg8/vjjdvTRR9uYMWOsadOm1r9/f2vRooUdeOCBBQV22mmn2T333GP//vuv/fnnn1atWjXbY4897K677rLtttuuoOcuxMFTx/PVV1/ZQw89FLjusMMOhTidjikCOQlIFuVEpAAREAEREAEREAEREAEREAERKFsCyJgLLrjAPvroI9tqq63ssssus2OPPTZ0CkFy++23G8uw9ttvP7vmmmusRo0aGV9/7733rG/fvnbrrbfabrvtZv369TMqWd5//3279tpr7ZVXXrHWrVvbk08+GYQP59x0003tnXfesV69etl3331nTZo0CeffaKONbN9997Wvv/7adt55Z7v//vvtlFNOsS5duljPnj3t+++/tzPPPNNGjx5ta621lnXr1i3IJM7F+3vuuWc439prrx0qhA444AAX5BEjRtipp55qc+bMsf3339/+/vtve/XVV61u3bp29dVX28knn5z1OIMHD7brr78+jIPxw22XXXaxGTO8mLpcAAAgAElEQVRm2Pnnnx+kF38+44wzQn9YVnfppZfaM888Y/Xq1bPDDz/cLrzwQrvqqqtCRdXbb78dxgb3Bg0aBOZwo8Jq6dKlNn78+NAfOCC0orn6+eefrU2bNnbLLbeEOU0dD5x79Ohh1113nbVr186y9ZnqrUcffdT22WefUFWFJBswYIA1btzYxVFBIlAcAcki5YcIiIAIiIAIiIAIiIAIiIAIlGMC7GFTv3790MOzzz47iItJkyYFGYMg2mKLLWzjjTcOkuLOO++0G264wQ455JCMr2+44YZ23HHHBbnSoUMHO/HEE23o0KFBbJx++uk2ZMiQIF3atm1rTz31lJ1wwgn2wAMPhGPRECUcn710xo4dGwQSn+FXhMfmm29etAwtWhrGe1TLIHk45hprrGEHHXRQEFqc8+6777Y6derYlClTrFKlSjln4osvvgjnQuxQgfPHH38EuYM4Qn4hezI1+oBIadasWVjmdeONNwYBNHny5CIOXbt2DeP68ccfbdasWTZ8+PDAAB7IHsTaBx98YPfee28Y98KFC8PrG2ywgW277bb21ltv2SabbBLmBhlVpUqV0E8Ytm/fPog35A4iirnkh76njgfRFC1D45jZ+oxQuvnmm8N5kUqIL3gipNREYGUJSBatLEF9XgREQAREQAREQAREQAREQAQKSIDqFWQFUoXlSsiHVq1aheogqmq6d+8eqnu23HJLe/nll4O8mDBhQsbXqaDJJYsQJUglhAVyhOqaiRMn2uuvv25z584NUoLG8q9nn322aBkaUiPas4gKH2QQVUZUKRFLBRGSiAojfn3kkUfCXkPREqxffvklfN7TUpdtUaWD4KI6ifNma+xndPnll9tnn30WqnCopOIz48aNs7322ssOPvjgIJ+mTZsW9kNC9lApxfuII8bwxhtvBM5ImuJkUc2aNcMxli1bFjaqpgKLPYhGjRplH3/8cRBjVAO1bNnSqPZKHc9LL71UJIs+//zzjH3mGPCjH/SXqiYkFfw4r5oIrCwByaKVJajPi4AIiIAIiIAIiIAIiIAIiEABCTz//POhaujhhx8OS88QNyz7Qn7MmzfPBg4cGGQGVTJffvmlVa1aNVQYZXqdJU/shYOQQGAcdthhQWKkVhbNnj07yBdEz9NPP20//fST7bjjjmGEZ511VhAeCKviZBGbTHOMk046ye67774gtRAZVP2wtA1ZFPXhnHPOCQKq0LKIpW833XSTTZ061Ro2bBjOybmpeKI/VPncdtttNn/+fJs5c6Y1atQoCCP6TvXRkiVLQoUUVVBXXHFF2DPp119/tXXWWceQQ4wtqiziz4ge9lRad911w3FYuta8efMwdwg7xBVci5NFVDll6jMCkX4ji3777bdw/q233jo8CU6yqIBfxlXo0JJFq9Bka6giIAIiIAIiIAIiIAIiIALJI4CUYZkTFS0IBpY0IQqQEVQBURXDXjo8Oeuoo44Ke+9QFZTpdeQQVUksU2NDaKqSaKmyiKVMiA+qag499NAgOagaYt8dKmD4/IIFC0LF0XPPPRfkE+KFWIRV9DQ09vFBhCCuWDpGJQ/771C1lC9ZxJKwzTbbzFVZRIUQ0ob+wuHiiy8OsueHH34IlVss7WMcLJWjogoBR39Z2sZeSyz5Yz8olqYhjahKYj6QS0gmjpG6DO2OO+4I0om9hzguy+9givRD6jBn6ZVFjIdKqWgZGvtCZeszy/ski5L3fU5KjyWLkjJT6qcIiIAIiIAIiIAIiIAIiMAqS4B9hdhfKGrsHcRGzVS7IImQGzQqVViKVrt27Yyvr7feemEzZjadZpkY1TNIklRZhJxAWvA+G1DvvvvuRUvSeI1zUFnEUiiWlrEHEPKITbDZHBtZRVUTmzuzjxAbUdP23nvvUKlEVQyyiH527NgxyCVkS5zKoieeeCKIMRrHp4qJaiaqrbI1loQhvFjOFzXEENKGcVJpFTXkDlVUVCEh3dgQm0ZlFxt5T58+PYgezs2eQUghOLBMjeVgzEvUN3hRjVW5cuVQVcR+RmxSTsUSex5xDjbLjsbzwgsvBN5IKZbGZetztGeRKotW2ctCQQcuWVRQvDq4CIiACIiACIiACIiACIiACOSHAJUtSAo2u0bapDaWiv31119hA+XUTaKzvc7yNY7BkrWo8dQu9uFBqlCxxHIrNrKOGpU2SJnU13gP0YT0YCkUGzqnNjbnps/RJtD5IfG/o1DZxLlZBhY1qnL++9//rnAa9g1CZNGQK0ge9vnh9ajBjz2dqOZBgkWNMfA6vJBwUYMT51t//fWDCIoasog9kRB4LOmj2iqaEz5DJRPnSN/MO9N4omNm63M+eepYIpBKQLJI+SACIiACIiACIiACIiACIiACIhAe8R7JoqTiQGi9++67K3SfJWBU6ZRGi2QR1UpqIpBUApJFSZ059VsEREAEREAEREAEREAEREAE8kiAp4QhWzp06JDHo656h0JWUZnEvk9qIpBUApJFSZ059VsEREAEREAEREAEREAEREAEREAEREAECkBAsqgAUHVIERABERABERABERABERABERABERABEUgqAcmipM6c+i0CIiACIiACIiACIiACIiACIiACIiACBSAgWVQAqDqkCIiACIiACIiACIiACIiACCSBAI+BP/roo+2RRx4JG1yPHTvW/vOf/9jQoUPDn1Mbj3rP9HoSxpmPPq5qrHg6G0++S31iXD446hjJICBZlIx5Ui9FQAREQAREQAREQAREQAREIO8Ebr75ZjvnnHPCI9433nhju/766+2iiy6y77//Pvw5vWV7Pe8dK4cHrIiseELciBEjVqA9d+5cq1Onjp177rk2aNCg2LPx8ssv23777ReOfeCBB8b+vD5Q9gQki8p+DtQDERABERABERABERABERABEcg7gWeffdamTZtm//zzj2299dZ2wAEHhJv3GTNmhHMdc8wxoVLojDPOsAcffNBatWplw4cPt7322ssmTZpkp59+ukXHoLrkpJNOCvEnnHCCPfDAA6HqpHLlyta1a1cbOHCg1axZ0/766y877LDDrH79+nkfTyEPuKqyQuQ8//zzYa6rVq0aEFeqVMmuueYau+qqq6xFixYlkj2RLHruuefsoIMOKuTU6dgFIiBZVCCwOqwIiIAIiIAIiIAIiIAIiIAIlCUBlpY1atQo3PDfeuutQeIgBpBDyKBvv/3Wpk6dGv585513Wo8ePUJlUffu3UM1yYknnmiPP/64nXXWWfbVV1/Zuuuua48++qideuqp4fNVqlSxN99800455RS79957rXfv3vbee+/ZwoULrWPHjmU59NjnXlVZRbLojz/+sLXXXruI24IFC6x9+/bWpUuXML977723NW/e3L744otQdUZuXHzxxfbnn39ar169glTk8/vss4/dcsst9uqrr4bKokyy6Iknngj5NnnyZGvbtm0QjcjFd955Jxzru+++C8KSfNpuu+3C+c4880wbPXq0rbXWWtatWzfr37+//fbbb+EcnJO8Y9kkfeTY5CmClL7svPPOsfNBHzCTLFIWiIAIiIAIiIAIiIAIiIAIiEAFJIAAadKkie2www7GEipuqseNGxdutj/55JMgi6g8yiaLkEuvvfZauAnnxn6dddYJN+Hc4LO3ETKBSiXef/jhh4Nk+vDDD23OnDnWqVOnRBFdVVlFsuiQQw4pqixCELVr185q1aoVlqFdfvnlVrt27TCfkbRBGk2fPj3kwVFHHWXnn39+qDIjz55++mmrVq1aRlk0c+ZM23TTTe3www8P7yOdqGpC8PA6YohjDRkyJFS6vfTSS6EC7rHHHgsiCWlJzj311FPWsmVL22ijjUK/NttsM7vvvvuCRKJvF1xwQRCYLKf78ccfQ3/U4hGQLIrHS9EiIAIiIAIiIAIiIAIiIAIikAgCCBBu6Fkexv4zRx55ZLgJZ6PqJUuWhKoR5E+qLOJmv1mzZkH6UGnEps7ELl26NFSY3HHHHWFZ0siRI8Nx582bZ7vttptNmDAh8bJoVWQVySIEILKHhsDZf//9V5BFzP8999wTqs3YFJ0cQOhQKYSQofLn3XfftSuuuCJskp6psmjWrFlFgoflaR06dAgy6Jtvvgl5R75x/vHjx9sPP/xgbdq0sfXWWy/k6pNPPhkqmahg4rMIJmQRfaWCCUnJn8lHKqGi/rAkLmmVbuXhAiNZVB5mQX0QAREQAREQAREQAREQAREQgTwTQBaxBG3DDTdcrrKCJUfZKi3+/fdf44f9iKLGPkRrrLHGcr3jNeQCcYikpD8xa1VllW0Z2vz581eQRSw7u/baa+2ZZ54JlUHIIirTqD469NBDbccdd7S+ffsWK4tIorfffjtIS5aqIXj23XdfO+2004zNtqlKoqKNCiT6sMEGG4T8Zb8sKocQnVQ87bLLLkF0IocuueSSsMfSmDFjgryi4mjPPfcsytcjjjjCtt9++zx/uyr+4SSLKv4ca4QiIAIiIAIiIAIiIAIiIAKrIAFuyhs3bmx169ZdBUcfb8irKquVlUVUFbFE7PPPP7eHHnrIBgwYEIQRewdlqiyi2geR069fv1AtRFUQS8WoIqJSDeFEZRICij9zXI7DnkRUErHEDGE1ePDgsNQRWdSnTx+78sorQ5Xb+uuvb1tttVWoUKJvLLtk2Vq9evXiJYSiS3/PIkwgG56xOVpqw26zWVVU+qa5EQEREAEREAEREAEREAEREAERKCwBbqpZUkRlDXsPsQcNS4h46hl/Tm3cy2V6vbA9LD9Hr4iscski9g9CxrBnUVTBM2zYsFD9Q2URFWpUBLEhNntiUS3E/kcsWUPyIGo4R9SWLVsWlkOy5xBt4403thtvvNGo/rn66qvDuWg1atQwlo9RJcSSNKQSVUg0lphRgYRDSJVFvMcG7simjz/+OMTedNNNYXlkvhougzHzxLhMDQ70vSK0Uq0sYv0rBhDL+PvvvwfriPnj4kT5ImtEL7zwwvDoRTUREAEREAEREAEREAEREAEREIHCEuAe7ZxzzrHZs2eHG3eehnbRRReFjYb5c3rL9nphe1k+ji5WmeeBJYm//vprWDLmbT///HOQPQ0aNFjuIzzhjEqjhg0bLrcU8p9//gm+AFHjOc+MGTOC4Ep9wpu3b5niEFU8AbBz5842ZcqUFar12LOLjeMZD/1kmd2uu+66Mqcs88+WmixiUzTWuUYm7qqrrgoXJEwg9g2L+NNPP4XysPTH9pU5JXVABERABERABERABERABERABBJGgMeZs6cMN9o8RvyAAw4IlR7cSNPYWJhKITa4fvDBB8N+L8OHDw+PLefGmKdURcdgTyL2jSH+hBNOsAceeCDczLMyhP/s5/HnLBtCHFB1wqPQk9TEKkmzVfp9pZqKPZHIczxG+tJONuru2bNn2LCbWIpkRo0aVfodzeMZS00W0Wc2qGIn80WLFoXHLJ533nn2+uuvh4sRpWiUpHGx4RGOPPpOTQREQAREQAREQAREQAREQAREoGQEWFrWqFGjsMn1rbfeGiQOy3SQQ8gg7rumTp263NPQqCxi2c6gQYPCU6l48tVZZ50VHlnOViJsKnzqqaeGz1epUsXefPPNsOSIx5T37t077C1DgUDSnj4lViXLsVXtUyw/yySLNtlkk7CEk18nTpwY8p+4JLdSlUWAYu0gFx12I6c06/jjjw8bW3HholFSxiZUlJ1xocHepTYe+chj/dREQAREQAREQAREQAREQAREQASyE3jjjTfCf8IjjKh24AlSSB9uZBFFPO6cG1o2CkYicU/GXjI82YpKmz322CPcv/G0Kp5OxRIg5FCTJk3CxsNNmza1999/PxyPIgA+z/FZSsTWI0lqYpWk2cp/X9l4m+VvqY39kqi2S23ZZBFVdZMnTw4rpb777jtr06ZN+M4kuZWqLOILyP5EWG02sKL1798/lCuycRblkVQesd4x20bX7HPUq1evIuZMhKqQ/odDLPxfRbESKz8Bf6TySqz8BPyRyiux8hPwRyqvxMpPwB+pvCp/rKiWYf8U7rf4T3dWc/Af9mxUzTYh/Kc9lUJUGvGkqR49ehj78jRr1sw+/PDD8Gc2dSZ26dKloYLojjvuCBsWs7kxx+UJVLvttpuxZwsVSXyO/V0QUPlopZVXYpWP2UrOMdLzKt0zZBtJNlnUunXrsEQNIcuG3HgOviNJbqUmi1hits466wTjzO76UQPg7bffHtbzsaM5FyfsdLYmWZQ93UrrQprkhI/6Llb+WRQrsfIT8Ecqr8TKT8AfqbwSKz8Bf6TySqz8BPyRpZVXCBCWoG244YahKihq7BGb+ufUnv/777/GD/sRRY19iNh/NrXxGv/BTxwiiT2NCtHEyk+1tFj5e1R+I/Mhi9hehwo75CpilQ212RyevYuqV69uV155ZfkF4OhZqckidgzfcsstl+sSG6Pddddd4ZF6X3zxhf3555/22muvFVuyKFkkWeTI65whupDmRFQUIFZi5Sfgj1ReiZWfgD9SeSVWfgL+SOWVWPkJ+CNLK6/efvtta9y48Qqb8fp7WvaRYuWfg9Ji5e9R+Y1cGVlE5RyVeuzbxTI1nvTOss7dd989DJi9vSiAqVWrVvkF4OhZqcmiXH1hPR/Gu2rVqsWGShZJFuXKJc/7upB6KP0vRqzEyk/AH6m8Eis/AX+k8kqs/AT8kcorsfIT8Ecqr8TKT8AfqbwqOSvvMrTizsDyzlmzZoVNrlmulvRWbmSRF6RkkWSRN1eKi9OF1E9RrMTKT8AfqbwSKz8Bf6TySqz8BPyRyiux8hPwRyqvxMpPwB+pvCo5q3zIIv/ZkxEpWZSMeXL1UhcHF6YQJFZi5Sfgj1ReiZWfgD9SeSVWfgL+SOWVWPkJ+COVV2LlJ+CPVF6JlZ+AP7Kky9D8Z0h+pGRR8uewaAS6kPonU6zEyk/AH6m8Eis/AX+k8kqs/AT8kcorsfIT8EcqrwrDiidFr8pt2rRp1rBhw1UZQbFjZ3+cqOk76E8TyaLcrCSLcjNKTIQuDv6pEiux8hPwRyqvxMpPwB+pvBIrPwF/pPJKrPwE/JHKq8KwuqzvZXZV/6v8B1fkKkPgij59rG/KE7f0HfRPvWRRblaSRbkZJSZCFwf/VImVWPkJ+COVV2LlJ+CPVF6JlZ+AP1J5JVZ+Av5I5VVhWHW9oKs9ed+T/oMnPHK1yqsZP1H7999/rXLlyr5R/f23GT+rSDv/iCOs79ChRaPVd9A/8ZJFuVlJFuVmlJgIXRz8UyVWYuUn4I9UXomVn4A/UnklVn4C/kjllVj5CfgjlVeFYTV62mjjZ1VpbRu2NX6iFiuvRo8242dVaW3bmvHz/1ssVqsKoyzjlCzKnQCSRbkZJSZCFwf/VImVWPkJ+COVV2LlJ+CPVF6JlZ+AP1J5JVZ+Av5I5VVhWEkWfWebbbaZD25pyKLmzc06dDB7+mmzr77K3K911jE791yzTz4xGznSrFMns+22WzH23nvN5s3zjS1TlGRRidlJFuVGJ1mUm1FiIvQXtH+qxEqs/AT8kcorsfIT8Ecqr8TKT8AfqbwSKz8Bf6TyqjCsJIvKiSzaaCOzvfYyY7PtSpXMhg83mzRp+UlfbTWzww8323xzM36PTHriCbPOnc223fb/YnmPNmiQ2fz5/sRJj5QsKjE7yaLc6CSLcjNKTIT+gvZPlViJlZ+AP1J5JVZ+Av5I5ZVY+Qn4I5VXYuUn4I9UXhWGlWRROZFFTZqY7buv2eqrm7GH0rBhZp9+uvykr7mm2fnnm1WpYla16v/JotSo3Xf/X2USn+UYK9Mki0pMT7IoNzrJotyMEhOhv6D9UyVWYuUn4I9UXomVn4A/UnklVn4C/kjllVj5CfgjlVeFYSVZVE5kUTS9Rxxh1rhxZlkUxeywg9mhh64oi6pXN+vRw+yvv8wGDDBbtsyfNJkiJYtKzE+yKDc6yaLcjBITob+g/VMlVmLlJ+CPVF6JlZ+AP1J5JVZ+Av5I5ZVY+Qn4I5VXhWElWVSKsmiDDcy6dFlxItlX6NFH//f6ysgijs1yNPY7+vxzf8Jki5QsKjFDyaLc6CSLcjNKTIT+gvZPlViJlZ+AP1J5JVZ+Av5I5ZVY+Qn4I5VXYuUn4I9UXhWGlWRRKcqiTTc1O/74FSfyt9/Mbrtt5WQR+xRdeqnZ33+bXX21P1mKi5QsKjFHyaLc6CSLcjNKTIT+gvZPlViJlZ+AP1J5JVZ+Av5I5ZVY+Qn4I5VXYuUn4I9UXhWGlWRRKcoizxSmVxbVqmXWtavZtGn/2/SalmkZ2tZbmx11lNl335k99JDnTLljJItyM8oSIVmUG51kUW5GiYnQX9D+qRIrsfIT8Ecqr8TKT8AfqbwSKz8Bf6TySqz8BPyRyqvCsJIsKmeyKFpKFm1wXb++2amnms2da3bHHf9Lgu23NzvssOX3LGJTaza3HjPG7LXX/MlSXKRkUYk5ShblRidZlJtRYiL0F7R/qsRKrPwE/JHKK7HyE/BHKq/Eyk/AH6m8Eis/AX+k8qowrCSLypks8k9z4SMli0rMWLIoNzrJotyMEhOhv6D9UyVWYuUn4I9UXomVn4A/UnklVn4C/kjllVj5CfgjlVeFYSVZJFmUNbMki/xfurRIyaLc6MpEFi1cuNCqVatmlSpVKurhggULrHr16su9lqn7AwYMsF69ehW9pb+U/o+SWORO+ChCrMTKT8AfqbwSKz8Bf6TySqz8BPyRyiux8hPwRyqvCsNKskiySLLI/93yRpZUFmVyGannxGvUqFHD241yHVeqsmjOnDk2adIk69y5s02ZMsXq1q1r8+fPt1NOOSUAnTt3rh122GHWlQ3CsjTJouz5pL+g/d81sRIrPwF/pPJKrPwE/JHKK7HyE/BHKq/Eyk/AH6m8KgwrySLJIski/3fLGxlXFmVyGannmjBhgnXr1s0aNGhg06dPtyFDhtiuu+7q7U65jCtVWTRs2DAbM2aMDRw40GbPnh1k0dChQ+2ll16yp556ysaOHWsnnniiTZ48WbKoBOmiv6D90MRKrPwE/JHKK7HyE/BHKq/Eyk/AH6m8Eis/AX+k8qowrCSL/LKoX9euds0jj/gnIumRrNSpXLloFMuWLcu5UicK/ueff4yfVaW1bdvW3nrrraLhxpVFmVxGKrsOHTpYz549jV+JHTx4sI0aNSrReEtVFkWkWH4WyaIff/zRdtppJ2vXrp299957dv7551uPHj0ki0qQVvoL2g9NrMTKT8AfqbwSKz8Bf6TySqz8BPyRyiux8hPwRyqvCsNKsiiGLOrb167o398/EYpcZQg0bNLQpv53aollUSaXkQpvk002CcUv/Dpx4kTr2LFjcB5JbmUui7Btxx13nJ166qk2btw4W3311e2FF16QLCpBVukvaD80sRIrPwF/pPJKrPwE/JHKK7HyE/BHKq/Eyk/AH6m8KgwrySK/LFqyZIl/Eipg5NSpU61Ro0aukfV7s59d8+41rtiKENR7j952dcerCyaLatasGVZI1atXz7gWtmnTxmbOnJlodGUui1h2ts0224RNq9kMCshR1RGVRixbS2/a4DpzzukvaP93UazEyk/AH6m8Eis/AX+k8kqs/AT8kcorsfIT8EcqrwrDSrLIL4v8M1AxI+N8B/uN7mdXvH1FxQSRYVRXtLnC+rbtW6wsSv9Yy5YtrVWrVsu9nLpKKvWN1q1bh+12dtllFxs/frz179/fRo4cmWi+ZS6LbrzxxmDe7rjjjrARVPPmze2HH36w1VZbLSNYbXCdPd/iXBwSnbV56LxY+SGKlVj5CfgjlVdi5Sfgj1ReiZWfgD9SeSVWfgL+yDh5JVkkWeTNrDh5JVm0fF6le4ZszFNl0aJFi+zzzz+3Zs2aha10ateubRdddFHYu4gnvV955ZXeqSuXcWUmi9hNvE6dOqGK6IADDjD2LqJdfvnl4elo2ZpkkWRRPr5JcS6k+Thfko8hVv7ZEyux8hPwRyqvxMpPwB+pvBIrPwF/pPKqMKwkiySLvJkV5zsoWVRyWRS5DJ70TuXR77//bt9++63tvvvuYarWXXdde//9961WrVreqSuXcWUiizKRmDVrVpBHVatWLRaUZJFkUT6+SXEupPk4X5KPIVb+2RMrsfIT8Ecqr8TKT8AfqbwSKz8Bf6TyqjCsJIski7yZFec7KFlUMllU3Fz8/fffhtdgk2sqkJLeyo0s8oKULJIs8uZKcXFxLqT5OF+SjyFW/tkTK7HyE/BHKq/Eyk/AH6m8Eis/AX+k8qowrCSLJIu8mRXnOyhZlH9Z5J2npMRJFiVlphz9jHNxcByuQoeIlX96xUqs/AT8kcorsfIT8Eeuanm1ePHiAGfNNdf0Q/r/kRGrlTlG7JOW0w8sXLgwMMy2X2Y+8+qff/6xv/76Kzz9N9v5yikmV7fisFqZ3Pvzzz9Df9Zaay1Xv8pjUBxWkkWSRd4cjpNXkkWSRbnySrIoF6EEvR/n4pCgYRWkq2LlxypWYuUn4I9UXomVn4A/spB59eKLL9onn3xivXv39neomMhLLrnErrvuOvvpp59sgw02iH3MY445xh577LGweWafPn0yfr579+7hySyUxVepUiU8TIR9FPgsrC677LKcx4jdsRwfSO1DPo79n//8x/7444+wwWjcxlN4d9ppp8Di7bffNp5kk6ltueWWxs9LL73kOgXH23zzze3666+3Cy+8cLnPkEedOnWyYcOGWefOnVc4XiqfKPbVV1+1Dh06uM5dXBCsEFXkcaFatu9g+vfHk7+PPPKIHXfccWHfj9122225Ljdp0sSQTTymOr399ttvdvvtt1vbtm2NJxkxbuQcT1le2ca+JOuss47x3brppptW6nBxrleSRZJF3mSLk1eSRZJFufJKsigXoQS9H+fikKBhFaSrYuXHKlZi5Sfgj1ReiZWfgD+ykHl12mmn2T333GP//qUFdI0AACAASURBVPtvXvYhuPjii42l9TzgY8MNN/QP0sx4+kq1atVsjz32sLvuusu22267jJ8/55xzwk3z0qVLQxULeyg0btzYRo0aFeTK9ttvn/MYsTrmCE7tgyM8ZwiPKKYyKJM0yPXht956y9q1a2dnnnmm9e3b1+rWrZvxI5tttpk1atTI3njjjVyHDO+zyekWW2wR5pen4qS2L7/80h566CE7+uijbYcddljheKl8eOTyQQcdFCTVvvvu6zp3cUGwQrCURKx5T57tO5j6/aEqyJO/cDrhhBMyyqLbbrstSNALLrhgha7NmDHDGjRoYNdee63xPUMsrbHGGvbhhx96h5E1DhGFcOW8N99880odL871qlCyqF2jdtZi4xb20x8/2ZCPhyw3nqpVqlr3Ft2Xe+3DHz60t6a+FV5rvnFz67B5B3v686ftq5+/WikW6R9u27Ct8RO1OKzy2pEEHiwOK8kiyaJcKS5ZlItQgt6Pc3FI0LAK0lWx8mMVK7HyE/BHKq/Eyk/AH5maVy+//HIQAPvss49x001lCI+ypUKBm1UqhKjM4fcdO3Y0bj6p8Pnoo4/shhtusFdeeSU81eTSSy+1efPm2amnnmo8/WT//fe3F154wd555x3r1atXqErZa6+9wvGQNmPGjAk3khxnq622CtU7xx57rC1btsyuueYau/vuu61evXpWo0YNe/PNN4Ms4kb2vvvuCz8sh6Iahc9ka/SXahPkxtVXXx2qTs4999xwU81N8sknnxz6myqLqGJ5/vnnw/ERGE8++WQQLJUrVy5ilGlZ1FVXXRVYUHXDZw488MAwvk033dS+//77IFpGjx4dlgN169bN+vfvHx5W8sQTT9idd94ZzkGFBxVOjI85YexUZlxxxRVBdiG0kBj77bdfYMT7gwcPDpU58GXOiEF2cLN+3nnnGfNL1Qic11577XCeKVOmhHM++uijtvXWW9stt9xiO++8c0aMHBcB8/XXX9uOO+5o9957b+hDNKcIBuYOIRfJIiQbTHn6DaKAp9xkOl8ki3ja79y5c0PeMCdUk7377rvh8cpUlSEeyZtDDjnEqKLZe++9bdCgQUV86DuyiOoa8orG5w4//PCsuVHcfKXKotT8TR0rouX8888P5yP+jDPOCE8tnj9/vitHM13bR4wYsdz3B8mTmr+wydQiWdS1a1cbO3ZsyF3yg+8gTJYsWRJyEilHbpM/zz33XJA5r732mm288cZ26623hjxDKDZt2jSIUr4vzPd6662XlSN5zvwiWsePHx/mj1yn76myKMrfn3/+2dq0aRNyrn79+lmvD6k5yneV60G2HE3tXCFkUfXVq1uPFj2C/P5t8W828IOBy/HYdJ1NrVvTbrbknyX2979/h/eQRd/M+8b22mwva7huQ6tklWz4l8Nt0uxJ/gu1I1KyyAEpS0icf19JFkkW5co0yaJchBL0fpyLQ4KGVZCuipUfq1iJlZ+AP1J5JVZ+Av7I1LyKlrDwaaoTHnzwwSBXkDP333+/nXLKKaG6A0GEyOBGECGxzTbbhBMiPbgxRSA888wz4aaZG2huYBE5kSzhxnrIkCHh0bncsHKjSDv77LPD5xALSJXZs2eHm+9tt902yBMkA43+cON6+eWXh5tazsGNLr9Gj+BNJ8ANJv3hprlfv37hJp7XEBhUv7Dkh5t+ZAtjevzxx+2oo44K1UVUyPBZZA2NG9bp06cHCYEoSW/cJDM+2NHvp556KvAcOnRoWM6GcONzX331lSEFeB+5Ax+kBjfwJ554op1++ul22GGHBTGCLGP8DRs2DBU43NRzc85riDqWaVEB1axZs/D7G2+8MXwGIYRMgTljR3TBHCnHe3vuuad98cUXQWbBFFEDX6pY0hvyA+bwgQWf4WafhqyjH/CiEog+wg0ZiFREQCCNsp2PpYV8hnbooYcGQcGSN3KBeYmWobF/UZcuXUIczOjHSSedVMSH5XXIIvjwOvPLcaJKsUzfjOLmK5JFn332WVH/0sfKeZjbSNDAjyf78B3x5GimaztzgryMvj+MKzV/6VemFski3oMTuYVIRN42b968qKIskqLE8d3keMwnucYyTb7nsGdsSB3ylCVk0Xcg07mp8OJ7y7ywhJO+P/DAA+GYkSyKpClCGqHGd54f8iPT9YEKsdScId9//fXXrDma2q9CyKKTdj7JNqy2oVFBlEkW/Wej/9h+W+5n90+83+b+Mdf+/Pt/+0Q12aCJ7bvlvrZ6ldWtcqXKNuzLYfbp7E/9F2pHpGSRA1KWkDj/vpIskizKlWmSRbkIJej9OBeHBA2rIF0VKz9WsRIrPwF/pPJKrPwE/JGZZBHChht2bg6pLKL6hgqPCRMmhBs1hAOVBh988EG4kWRpENUmVJS0b98+3DQjVFKX0fBZRAbSCRFC5cEPP/wQbmT5DOKGeG4wkUjcPHIubrapLGA/G17nfW7GkRS8z2emTZtmDz/8cOgjsipTQ4Igb6hKobKIYw4fPtx++eWXIKjggDR69tlngwyJ2kYbbRRkFVU30esIKao2GE+mZTqRfIiWyyE6kFH0oU6dOuEmnuoOKrSo8EFucBPMuWj8Gb6IJfZ6SV1mhYDghh3eVH5RLYTYYf8gWCE1EDQsJ2KsH3/8cYhHPiDfYEZ1CLKIJWWck5t7KnSodqKKh2NSiZWpUYXCzT9VLnyG3Hj99dfD2CI+jAtmU6dODYcgDvmDQMl2PsaCLIqWKlH9xL45zCdVTOmyKFXUZVqGxvJH5Ca5hshh3xxyLVPLNl+Mg0os5CdcM42Vqi3E1MEHHxykKLnI/kYwpbLMk6OeZWh8z1LzN9s3PJJF5DF9QpZRlcXeQ1TSRcsPI1kUCdZMy9AQeOQw88jcFPf9oj/MQ82aNcP4qQpkzyMq0RCvkSziu0cukJd8BxGnMKa6KNP1gcomriVRjlKxR24Ul6MRm3zLoi1qbWHH7nisjZw80g7Y+gD7ffHvK1QWddqqk+1af9ei6Zn/53y77+P77I+lf4TXjtj+CGtcu7Fkkf+vqFKJjPPvK8kiyaJcSSlZlItQgt6Pc3FI0LAK0lWx8mMVK7HyE/BHKq/Eyk/AH5lJFiEEIoFx1llnhRtNqoioTpg5c2Y4OEu0uCHl5hPhwhIopAsSg5tybjS58Y/2LGJZGzevTz/9dKiW4ThUqnBzzbmQPVQ4TJw4MSwxobqBGD6P5OBGObrx58aWKgReo/oiatxsUm2TqaXLIvpCtQR9pB8IhVRZxLFZCsVNLselUb1E4+aWaofatWuH5V3pLZIPUb+RQ4w76jfVGlQ2sTyHZTtUdSBuED5UJCFiODc32lRWpMqQaANuxAuVQ1TxsIQN2Ybc48ae6iPEDUKAYyKduImP9t2hMoxxIe4QcNF4onEcccQRYW+mTC1VFlGpgnSikSdIAORDqiyKOCIH2Dcq2/lYkoeQoOIKEYScQUJSrUY+pMuiVFlQ3J5F5C3LnpA2iLdMLdt8Rf1FFiEHM42VHOX8VMdQQUUu8RoCaf3113flaCFkUbRnU1RRhwgkd9JlUSTRituzCKnLeKK5yXZ1iWQRecZyQXIMyUPuR7LoyCOPDBVOzCnL4hCcyECqtTJdH5BxSLcoR+GL7CwuR6P+5VsW9WrZyxb9vchuG3eb9W3bN6Ms2nvzva3phk3ti7lfWL0a9WyjGhvZ+Fnj7YWvXwjdkizy/91UmpFx/n0lWSRZlCs3JYtyEUrQ+3EuDgkaVkG6KlZ+rGIlVn4C/kjllVj5CfgjM8kibsyQIDwxjMoCJBH/888NHZUebC7NXjvc+HEjjrihEoblXbxPtQCVLHwG2UMFEpUmCAtuDFk6RpUDf6bCCHlBZQk3jixbQeJww8lSL5ZkcS4kA31iSRF9orqF4yINOBf7/SAWslXEpMsizs0yKZ6wRXUSeyFRIYMMQbQwZvrKjTJ9Y3xR5QxLxZBc3NxmetJbJB9YRoYIosKFSi1kGuNBvlFJRL+pAEK0ISIQUDBELrFkjD5zMx/dhLPvU7TfE31A2LFUjiVmzAU35iwfQsaxSTGChP6zjxACBpnEciY4cz4qZRAa/B5xBMNx48YF/oioXLKIeWfpG0IGhswR84NkoboJwcA4kT70jeVvVFZlOh+fQRYhl1hCh4jkhyoSpFu6LEp92lkqn08//XS5Da7jyKJM8xUtQyNPso2VyimWbJEfLPuiigyZx/x4cjSXLOIY7AEVp7KI7zACK5KuVCa1aNFiBVmEPKIyLZJFVAXCn03Mow2u48gilqHxdDqEGTkHEyRwJIu4DvB9QA6znxJ5TF/5Hme6PlDplpqjXE8QpMXlaCFkEcvOLt3j0nDoZbYs7DtEmzp/qj34yYNFX5X6Nepb1cpVbfpv023dNde183c73+Yvnm+DPhgkWeT/a6nUI+P8+0qySLIoV4JKFuUilKD341wcEjSsgnRVrPxYxUqs/AT8kcorsfIT8EdmkkX8rz+VIDRu/LjhRlwgaKJNgxEB3OBRgcKeOEgiqmGoKiKeG0XkAzIj3GAtWxaWf0WPrCcu2nCZqh6qhqKGlGLvIDbjpVIIMUBDOHDjTNUS1UxsOs2NOQ3Bwg0oS18ytUgWcX5uoDl+tN8QN/tUDVEZwj4+3OBS9YOsiDZGZn8V9uPhNRoiCfmBMElvkSyK+stYo82/kWOIIFjRODeVF9woI3yQDTT4ctNOBQXjZD8g+MMUCRGNm37AEbkDdypJosax6D/VRlRncCOPcKhevXoYC2NlDMi7aL5z7UuTWlmEQIuW2DFG+kJ+cCzkWPQ0tGjJEyKQG/9M5yMPWWrIMRAvNMQXy6pgx3lYNsi8MNepsiiVD7KDSrWo8oiKp2ifm1yVRZnmi6Vwf/31V1halW2syKzUJ6+RP5wXGejJ0WzX9tTvD/nC3EX5m+0bznfg+OOPD5U70ZxG/UndrDuak0gWwZVNu+kz8UiZSBZFywc9lUV8Z2n0l7mk2oyqMdhT2YTEpG/kItKQ89IHcpQllpmuD3FzNGKTz8oi5FD7zdoXYW+1aauwiTUbVbPpdesGre3d6e/aNnW2sc3X29zG/TDO6q5d1xqt18jGzhxro74dFT6ryqJsmVu2r8f595VkkWRRrmyVLMpFKEHvx7k4JGhYBemqWPmxipVY+Qn4I5VXYuUn4I/MJIuoOOFGjpvF9I2Oqerh5hlJwt5FUUMGUZ2A5GBz26hRMcLmwtGNOstKEDcslUp9khhLfagkYrPr9L1luLFkuRb7+6Q3jsX5eJ8bT5bbZGpUVaSPhSUt9CHbXjbRcegby2qQVFRVUXXEuBhveuOGnv2WWE4GE3hRTZM6VjZpZqz0h6qq1EYFCNU/7NOS2qI+RAzoSzQPPJkpavDlRp3Pp4oz2FAhwp5BmZ7gxlhYVsfxv/nmm9C/TGNDAKQ3ZALjTj1urutV6vnSj8dY4cucels6n/TPFTemXPOVeqxMY+V95oIxwTc9T1NzNNN4imOV/v3h8+TIf//73xUOxXwjBaNGZRmvZfreZOoHOU4lG/HZpCuVZ1SPpTc2uec7RkUZIhOBhsBMzc3oM3wvolxMfz/b9YHPwpdzcw5Py6csSj8fy9DY4PqWD26xjlt0tN023s3GfT/O3v/+fTtt19NsrdXWCh9ZtPR/y9aija67bNfFtq2zrfYs8kxgKcbkul6ldkWySLIoV2pKFuUilKD341wcEjSsgnRVrPxYxUqs/AT8kcorsfIT8Edmk0VUWSStIURYLpSpUflB9c7KtFRWVJrwNLP0xpIolnRFsmhlzldWny1ubNmeNpfe1/J2vSrP8xWXFcKK5VnpDbnL0shCNiqFkKzpjaolllEicqgEK1SLw6qQsijX+GqvXduqVK5isxfOzhWat/f1NLSSo4yTV5JFkkW5Mk2yKBehBL0f5+KQoGEVpKti5ccqVmLlJ+CPVF6JlZ+APzI1r7gJZWNhlt6wx4ja8gS830EYwpJlWqtq87IqD3zKer6SxKq4+UJgUZWEOCpUi8OqLGVRocZf3HEli0pOPU5eSRZJFuXKNMmiXIQS9H6ci0OChlWQroqVH6tYiZWfgD9SeSVWfgL+SOWVWPkJ+COVV2LlJ+CPjJNXkkXL39T7Ka96kXHySrJIsijXN0SyKBehBL0f5+KQoGEVpKti5ccqVmLlJ+CPVF6JlZ+AP1J5JVZ+Av5I5ZVY+Qn4I+PklWSRZJE3s+LklWSRZFGuvJIsykUoQe/HuTgkaFgF6apY+bGKlVj5CfgjlVdi5Sfgj1ReiZWfgD9SeSVWfgL+yDh5JVkkWeTNrDh5JVkkWZQrrySLchFK0PtxLg4JGlZBuipWfqxiJVZ+Av5I5ZVY+Qn4I0szr3iqGU9CYhPoTI2Nc3ncd/v2/3tENZvp8pmmTZuGn6j98ssv9vrrr4enb7EvUOrTzF566aWwyS5PjOIx7ueee64fRo7I0mSVt06X0YHKA6svv/wyPJWrbdu2ZUTBd9rywMrX07KPisNKskiyyJuxcfJKskiyKFdelYksWrhwYXjEauojJnm0Ko+5zPXI1wEDBlivXr2KxhXnC5ELRtLfFwv/DIqVWPkJ+COVV2LlJ+CPVF6VT1Zvv/228dj4du3ardDBqVOn2siRI8O/abp162aTJ0+24cOHW5s2bWz06NF20UUXFT2a/YEHHgiPo+cR9jzhLPUJUE899ZTtvPPONnbsWGvevLltvfXWfhiSRRWKFY+XRzZ26tQpb+MqxIF0vfJTjcNKskiyyJtZcfJKsqhksiiTy0idnwULFuR0Gt75LOu4UpVFc+bMsUmTJlnnzp1typQpVrduXVu8eLGddNJJ9ttvv1nlypXD/7b169cvKxfJouwpE+fiUNaJV9bnFyv/DIiVWPkJ+COVV2LlJ+CPLM28GjRoUJBF/BuGR9z//vvvtnTpUjv88MPDf35RVcRrkSzi3zgNGjSwm266yc4666wghmgcZ++99zb+jTRz5kw77LDDDEnEP0b5t9F+++1nL7/8sm288cZ23HHH+WFIFlUIVkhH8mLRokXWuHFj22233YKIJDcaNWoUKtt4H8n47LPP2pZbbmnffvutzZgxI4z/mGOOCbJx+vTpIS+JL+Qj6UvzO5i3CS6jA8VhJVkkWeRN0zh5JVkUTxZlchmp8zJhwoTwdz5/13PNHTJkiO26667eqSuXcaUqi/jHFGXUAwcODKW0yKKhQ4fahx9+aHfeeWco5+YvuoMOOsiqVKmSEZhkkWRRPr5JcS6k+Thfko8hVv7ZEyux8hPwRyqvyierqLJojTXWMP4XsWPHjnbHHXfYPvvsY1tssUW4YSeGfzjS/vrrL7vvvvtCLLIoqqR+9NFHgyhasmRJ+A8zjvfnn38udzz+7UQFU7Ylb35C/xepvPJTKytW/Fv5mWeeCfnyyiuv2N9//x0kIjnSsGHDIBFPP/10Gzx4sF144YVBRJJvfOaMM84I/0FLHiI169evb7vvvrtdd911dvHFF/sHHzOyrFjF7Ga5CI/DSrJIssibtHHySrIonizK5DJS54Wl5D179gxLyonl2swS9CS3UpVFESiWn0Wy6PLLL7fx48cbJo7/Nbvqqqts3333zcpUskiyKB9fuDgX0nycL8nHECv/7ImVWPkJ+COVV+WTVSSLuIFnaX3Lli3DPwzZoyhdFo0bN85q165tm2++uT388MOhQiT630b+3XPppZcay/GRTU2aNLG11lorLFmLjidZ5M+BQkSW1Xdw2rRpYT+rk08+2d54440gERGLiB9+vvnmG9t///3DEkeEUPXq1cOyRWKRRp988kmQRVQUbbvttuEn/d/R+eZVVqzyPY7SOF4cVpJFkkXenIyTV5JF8WRRJpeROi/8hw6VnPw6ceLE8J8+OI8ktzKXRSeeeKK98847xiaOQOV/RiidRSi99957oRIpvWnPoswpF+fikOSkzUffxcpPUazEyk/AH6m8Eis/AX9kaebVZ599Fio7unbtauw7VLVq1VA1dPTRR68gi3744Qd78sknw808FUZUgxBPe+6558JeNPy7Z8cddww/lK4jjNgku0uXLuHfQqos8udBviNLM6/S+37PPfeEiiJyi83O+Xn++edD/qy++uphGST5RdUaG6Cvt956IX/4DNVq5M+7774rWZTvpMjD8eLklWSRZJE35eLklWTRirIonTP/EdSqVavlXk4tfEl9g+Xl7FFYr149Yx74Tx+WCSe5lbks6t69eyinvfbaawPHDTbYIPyjiP+Vy9RUWZQ93eJcHJKctPnou1j5KYqVWPkJ+COVV2LlJ+CPLO28Yo+iSPpQGYT4YSPqbP+GYQkRwii9sX8jy++jY/F+tlg/jeIjS5tVvvpdFscpa1bpuUClEPthrbvuullxkI9UvJV2K2tWpT3elTlfHFaSRZJF3lyLk1eSRfmtLGrdunXYbmeXXXYJK6f69+8f9phLcitzWUQ59r333hvKbPmftRYtWtisWbO0Z1EJsirOxaEEh69QHxEr/3SKlVj5CfgjlVdi5SfgjyzrvKJSequttrINN9zQ3+kyiixrVmU07BKdVqz82MSqMKwkiySLvJkV5zsoWbTysoiHD3z++efWrFkz69GjR1hyzhNP2buI/xy68sorvVNXLuPKTBax5ppHxVKOTdksy9DWXnvt8CS0I488MissVRZlz6M4F4dymY2l2Cmx8sMWK7HyE/BHKq/Eyk/AH1maecW+BGwYnK2xueWhhx7q6jxPiGXp/UYbbWR77bVXWJIWNf5D7ZRTTgkPAGFfGp6Wlo9Wmqzy0d+yPIZY+emLVWFYSRZJFnkzK853ULKo5LIochk8SIBlalR7skdc9O8CKj/ff/99q1WrlnfqymVcmciiTCRYl886v2xPQYs+I1kkWZSPb1KcC2k+zpfkY4iVf/bESqz8BPyRyqvyyer6668P/3uY3nikOWXn7L/IxtWexhOq2rZtGzbG5CEfbIAdtZtvvtlYss9yffZsrFy5sueQOWOUVzkRFQWIlVj5Cfgj4+SVZJFkkTez4uSVZFHJZFFxc8F+caySYpPr1P/48c5feYsrN7LIC0aySLLImyvFxcW5kObjfEk+hlj5Z0+sxMpPwB+pvCp/rNjcmidQ8Xjcn376KYgh/oHIk8yaNm0aHlmO+Ondu3d42uvcuXPDBsOPP/54ED5sWnzccceFTazZ9+jGG280HvjBhtnE8aSrF198MRzz119/DRVKPA6dTa7ZbDMfTXnlp1ieWN15551hr082vN5jjz1CvrDB+mqrrRZEIk9OS49h/4zSauWJVWmNuaTnicNKskiyyJtncfJKsij/ssg7T0mJkyxKykw5+hnn4uA4XIUOESv/9IqVWPkJ+COVV2LlJ+CPLM28orKIJ1E98cQTdtZZZ9krr7wS5E6nTp1Ch6kEuuSSS8JG1SwlYy8jJBLLyFh6f95554U4PjNo0KAgjhBDLMV/8803rX379tagQQO7+uqr7bLLLrMbbrghPDE2X600WeWrz2V1nPLECrFI3rEkkSfsHX/88SGvqMwnb84444zwNLTUGPKztFp5YlVaYy7peeKwkiySLPLmWZy8kiySLMqVV5JFuQgl6P04F4cEDasgXRUrP1axEis/AX+k8kqs/AT8kaWZV8gixM4bb7wRqoK4UWejy3RZRO9vvfVW4wlWVIKMHj3att9+e9tnn33CwKZOnRrkETf0H330kbF/0bx58+zwww+3unXrBlnEcjbJIn8e5DuyNPMqV9+RRSxL5GlnQ4cODftjUMWGXBwxYoSdfvrpQRalxpxzzjm5Dpu398sTq7wNqkAHisNKskiyyJuGcfJKskiyKFdeSRblIpSg9+NcHBI0rIJ0Vaz8WMVKrPwE/JHKK7HyE/BHlmZesZdQ8+bNQ1XHkiVLwrKgnXbaKaMseu211+zrr78OG1VTcYQY4okpUWPZEJUhixcvtoMPPjiIACqVVl999VBt1KdPH8kifxrkPbI08ypX59NlUceOHcMeWez7iWREHo0bN06yKBfIcvB+nLySLJIs8qZsnLySLJIsypVXkkW5CCXo/TgXhwQNqyBdFSs/VrESKz8Bf6TySqz8BPyRpZlXVArxw14xyJ0vvvjCZs+eXSSL/L3+XyTL1XjMbtQQUMuWLQv70xSilSarQvS/NI9Z3lnxZGH2KyIX2QMLyVhWrbyzKisumc4bh5VkkWSRN3fj5JVkkWRRrrySLMpFKEHvx7k4JGhYBemqWPmxipVY+Qn4I5VXYuUn4I8sy7zikblUAZXmZsJ+MitGliWrlel3WXxWrPzUxaowrCSLJIu8mRXnOyhZJFmUK68ki3IRStD7cS4OCRpWQboqVn6sYiVWfgL+SOWVWPkJ+COVV2LlJ+CPVF6JlZ+APzJOXkkWSRZ5MytOXkkWSRblyivJolyEEvR+nItDgoZVkK6KlR+rWImVn4A/UnklVn4C/kjllVj5CfgjlVdi5Sfgj4yTV5JFkkXezIqTV5JFkkW58kqyKBehBL0f5+KQoGEVpKti5ccqVmLlJ+CPVF6JlZ+AP1J5JVZ+Av5I5ZVY+Qn4I+PklWSRZJE3s+LklWSRZFGuvJIsykUoQe/HuTgkaFgF6apY+bGKlVj5CfgjlVdi5Sfgj4yTVz///LP/wBUwcvr06dagQQPXyHjK1qrWatWqVTRksSp+9sXK/+0oKasxM8fYmBlj/CdKeGTLTVvaQU0PKhpFnGt7woe+0t2Pw0qySLIoV8JJFuUilKD341wcEjSsgnRVrPxYxUqs/AT8kcorsfIT8EfGyas+l/exq6+82n9wRYqACIiACJQKgRPOP8GGDhwqWVQC2nH+HpQskizKlWKSRbkIJej9OBeHBA2rIF0VKz9WsRIrPwF/pPJKrPwE/JFx8qrrBV3t6Qee9h884ZFVK1e1qlWqFo3in3/+sSpVqrhGtWjRIlu8eLErtiIErbnmV8vGoAAAIABJREFUmrb22muLlWMyxcoB6f+HrAwr/1kqRuTZZ59tffv2lSwqwXTG+XtQskiyKFeKSRblIpSg9+NcHBI0rIJ0Vaz8WMVKrPwE/JHKK7HyE/BHxskr7QGiPUC8mRUnr7zHrKhxYuWfWbESKz8Bf2ScvJIskizKlVmSRbkIJej9OBeHBA2rIF0VKz9WsRIrPwF/pPJKrPwE/JFx8kqySLLIm1lx8sp7zIoaJ1b+mRUrsfIT8EfGySvJIsmiXJklWZSLUILej3NxSNCwCtJVsfJjFSux8hPwRyqvxMpPwB8ZJ68kiySLvJkVJ6+8x6yocWLln1mxEis/AX9knLySLJIsypVZkkW5CCXo/TgXhwQNqyBdFSs/VrESKz8Bf6TySqz8BPyRcfJKskiyyJtZcfLKe8yKGidW/pkVK7HyE/BHxskrySLJolyZJVmUi1CC3o9zcUjQsArSVbHyYxUrsfIT8Ecqr8TKT8AfGSevJIski7yZFSevvMesqHFi5Z9ZsRIrPwF/ZJy8kiySLMqVWWUiixYuXGjVqlWzSpUqLde/efPmhdfXWGONrP0eMGCA9erVq+j9OF+IXDCS/r5Y+GdQrMTKT8AfqbwSKz8Bf6TyqjCsJIski7yZpe+gl5SZWImVn4A/UnlVGFaSRSWTRdlcRjRLCxYssBo1avgnrRxHlqosmjNnjk2aNMk6d+5sU6ZMsbp16xahmT59uu2www72yiuv2O677y5ZVIKk0YXUD02sxMpPwB+pvBIrPwF/pPKqMKwkiySLvJml76CXlGSRn5RYiVUcAv7YONcryaJ4sqg4l8EMTZgwwbp162YNGjQw3MaQIUNs11139U9eOYwsVVk0bNgwGzNmjA0cONBmz55dJIuWLFliXbp0salTp9pdd90lWVTCRIlzcSjhKSrMx8TKP5ViJVZ+Av5I5ZVY+Qn4I+PklWSRZJE3s+LklfeYFTVOrPwzK1Zi5Sfgj4yTV5JF8WRRNpcRzU6HDh2sZ8+exq/EDh482EaNGuWfvHIYWaqyKBo/y89SZVH37t2tffv2dtttt9nll18uWVTCRIlzcSjhKSrMx8TKP5ViJVZ+Av5I5ZVY+Qn4I+PklWSRZJE3s+LklfeYFTVOrPwzK1Zi5Sfgj4yTV5JF8WRRNpcRvb7JJpvY2LFjjV8nTpxoHTt2DM4jya3MZRHWbcSIEfbQQw8FoKmy6L333guVSOlNexZlTrk4F4ckJ20++i5WfopiJVZ+Av5I5ZVY+Qn4I+PklWSRZJE3s+LklfeYFTVOrPwzK1Zi5Sfgj4yTV5JFK8qidNItW7a0Vq1aLfdyeuFL9GbNmjVt8uTJVq9evbB/W5s2bWzmzJn+ySuHkWUui1q0aGGs/1t//fXto48+sq222soeffTRrOv7tMF19iyKc3Eoh7lYql0SKz9usRIrPwF/pPJKrPwE/JFx8kqySLLIm1lx8sp7zIoaJ1b+mRUrsfIT8EfGySvJovxWFrVu3Tpst7PLLrvY+PHjrX///jZy5Ej/5JXDyDKXRdi2xYsXBzQnnXSSnXnmmXbggQfa2muvnRGXZJFkUT6+R3EupPk4X5KPIVb+2RMrsfIT8EcqrwrDSrJIssibWfoOeklp02Y/KbESqzgE/LFxrleSRSsvixYtWmSff/65NWvWzHr06GG1a9e2iy66KOxdVL16dbvyyiv9k1cOI8tMFlFNVKdOneWQdOrUyXr37q09i0qYKHEuDiU8RYX5mFj5p1KsxMpPwB+pvBIrPwF/ZJy8kiySLPJmVpy88h6zosaJlX9mxUqs/AT8kXHySrKo5LIochk86Z1lar///rt9++23RR5j3XXXtffff99q1arln7xyGFkmsmhlOKiyKDu9OBeHlZmDivBZsfLPoliJlZ+AP1J5JVZ+Av7IOHklWSRZ5M2sOHnlPWZFjRMr/8yKlVj5Cfgj4+SVZFHJZFFxs/H333/brFmzwibX7G2U9CZZlPQZTOl/nItDBRp2iYYiVn5sYiVWfgL+SOWVWPkJ+CPj5JVkkWSRN7Pi5JX3mBU1Tqz8MytWYuUn4I+Mk1eSRfmXRf6ZSkakZFEy5snVyzgXB9cBK3CQWPknV6zEyk/AH6m8Eis/AX9knLySLJIs8mZWnLzyHrOixomVf2bFSqz8BPyRcfJKskiyKFdmSRblIpSg9+NcHBI0rIJ0Vaz8WMVKrPwE/JHKK7HyE/BHxskrySLJIm9mxckr7zErapxY+WdWrMTKT8AfGSevJIski3JllmRRLkIJej/OxSFBwypIV8XKj1WsxMpPwB+pvBIrPwF/ZJy8kiySLPJmVpy88h6zosaJlX9mxUqs/AT8kXHySrJIsihXZkkW5SKUoPfjXBwSNKyCdFWs/FjFSqz8BPyRyiux8hPwR8bJK8kiySJvZsXJK+8xK2qcWPlnVqzEyk/AHxknrySLJItyZZZkUS5CCXo/zsUhQcMqSFfFyo9VrMTKT8AfqbwSKz8Bf2ScvJIskizyZlacvPIes6LGiZV/ZsVKrPwE/JFx8kqySLIoV2ZJFuUilKD341wcEjSsgnRVrPxYxUqs/AT8kcorsfIT8EfGySvJIskib2bFySvvMStqnFj5Z1asxMpPwB8ZJ68kiySLcmWWZFEuQgl6P87FIUHDKkhXxcqPVazEyk/AH6m8Eis/AX9knLySLJIs8mZWnLzyHrOixomVf2bFSqz8BPyRcfJKskiyKFdmSRblIpSg9+NcHBI0rIJ0Vaz8WMVKrPwE/JHKK7HyE/BHxskrySLJIm9mxckr7zErapxY+WdWrMTKT8AfGSevJIski3JllmRRLkIJej/OxSFBwypIV8XKj1WsxMpPwB+pvBIrPwF/ZJy8kiySLPJmVpy88h6zosaJlX9mxUqs/AT8kXHySrJIsihXZkkW5SKUoPfjXBwSNKyCdFWs/FjFSqz8BPyRyiux8hPwR8bJK8kiySJvZsXJK+8xK2qcWPlnVqzEyk/AHxknrySLJItyZZZkUS5CCXo/zsUhQcMqSFfFyo9VrMTKT8AfqbwSKz8Bf2ScvJIskizyZlacvPIes6LGiZV/ZsVKrPwE/JFx8kqySLIoV2ZJFuUilKD341wcEjSsgnRVrPxYxUqs/AT8kcorsfIT8EfGySvJIskib2bFySvvMStqnFj5Z1asxMpPwB8ZJ68kiySLcmWWZFEuQgl6P87FIUHDKkhXxcqPVazEyk/AH6m8Eis/AX9knLySLJIs8mZWnLzyHrOixomVf2bFSqz8BPyRcfJKskiyKFdmSRblIpSg9+NcHBI0rIJ0Vaz8WMVKrPwE/JHKK7HyE/BHxskrySLJIm9mxckr7zErapxY+WdWrMTKT8AfGSevJIski3JllmRRLkIJej/OxSFBwypIV8XKj1WsxMpPwB+pvBIrPwF/ZJy8kiySLPJmVpy88h6zosaJlX9mxUqs/AT8kXHySrJIsihXZpWJLFq4cKFVq1bNKlWqVNS/+fPnW82aNa1KlSrF9nnAgAHWq1evopg4X4hcMJL+vlj4Z1CsxMpPwB+pvBIrPwF/pPKqMKwkiySLvJml76CXlJlYiZWfgD9SeVUYVpJFJZNFmVxG6gwtWLDAatSo4Z+0chxZqrJozpw5NmnSJOvcubNNmTLF6tatazNmzLAjjjjC6tSpY6uttprtvPPO1qdPn6zIJIuyZ5MupP5vmliJlZ+AP1J5JVZ+Av5I5VVhWEkWSRZ5M0vfQS8pySI/KbESqzgE/LFxrleSRfFkUSaXkTozEyZMsG7dulmDBg1s+vTpNmTIENt11139k1cOI0tVFg0bNszGjBljAwcOtNmzZwdZdNVVV9nSpUutX79+tnjxYltrrbXshx9+sPr162fEJVkkWZSP71GcC2k+zpfkY4iVf/bESqz8BPyRyqvCsJIskizyZpa+g15SEiB+UmIlVnEI+GPjXK8ki+LJokwuI3VmOnToYD179jR+JXbw4ME2atQo/+SVw8hSlUXR+Fl+FsmiP//8MyxHW3PNNW3EiBHWvXv3UHWUukQtlZtkkWRRPr5HcS6k+Thfko8hVv7ZEyux8hPwRyqvCsNKskiyyJtZ+g56SUmA+EmJlVjFIeCPjXO9kiyKJ4syuYzUmdlkk01s7Nixxq8TJ060jh07BueR5Fbmsgh4S5YssWuvvdZuuukme+6556xdu3ZZmUoWSRbl4wsX50Kaj/Ml+Rhi5Z89sRIrPwF/pPKqMKwkiySLvJml76CXlASIn5RYiVUcAv7YONcryaL8yiL2X548ebLVq1cv7N/Wpk0bmzlzpn/yymFkmcsilp516dLFVl99dbvtttsC3Ki99957YdlaetMG15kzKc7FoRzmYql2Saz8uMVKrPwE/JHKK7HyE/BHxskrySLJIm9mxckr7zErapxY+WdWrMTKT8AfGSevJItWlEXppFu2bGmtWrVa7uXUVVKpb7Ru3Tpst7PLLrvY+PHjrX///jZy5Ej/5JXDyDKXRffcc4+98MILbpCqLMqeRXEuDuUwF0u1S2Llxy1WYuUn8P/YOxN4G6v2/d/meYxMoZRSSm+GjCFJlEqDSAppLpUkKW+K0mxIE1GU9JbQQPUKKSRF5oryF8ocEccY/8+1+u3zHsc5Z19rn2fvc/Y+13o/55P37PtZz/N817XXPvt67nUvPlK6EiueAB/poyuZRTKLWGX56IrtM1HjxIofWbESK54AH+mjK5lFmc8sSkpKshUrVli9evWsV69eVqZMGXvggQdc7aKiRYvawIED+cHLhpFZZhahmjh2QOvWrZuNGTPmKDSrVq2y6tWrp4lLZpHMoiDeRz4TaRDni+c+xIofPbESK54AHyldRYeVzCKZRayy9B5kSWlpFU9KrMTKhwAf6zNfySyK3CwKeRnY6R2ZR7t27bLVq1dbo0aN3GCVLFnS5s2bZ6VLl+YHLxtGZolZlBkOMotkFmVGP6FjfSbSIM4Xz32IFT96YiVWPAE+UrqKDiuZRTKLWGXpPciSkgHCkxIrsfIhwMf6zFcyiyIzizIajUOHDtmGDRtckev0NuziRzPrI2UWZf0YBHYFPpNDYCeN047Eih84sRIrngAfKV2JFU+Aj/TRlcwimUWssnx0xfaZqHFixY+sWIkVT4CP9NGVzKLgzSJ+pOIjUmZRfIwTdZU+kwPVYQIHiRU/uGIlVjwBPlK6EiueAB/poyuZRTKLWGX56IrtM1HjxIofWbESK54AH+mjK5lFMovCKUtmUThCcfS6z+QQR7cVlUsVKx6rWIkVT4CPlK7EiifAR/roSmaRzCJWWT66YvtM1Dix4kdWrMSKJ8BH+uhKZpHMonDKklkUjlAcve4zOcTRbUXlUsWKxypWYsUT4COlK7HiCfCRPrqSWSSziFWWj67YPhM1Tqz4kRUrseIJ8JE+upJZJLMonLJkFoUjFEev+0wOcXRbUblUseKxipVY8QT4SOlKrHgCfKSPrmQWySxileWjK7bPRI0TK35kxUqseAJ8pI+uZBbJLAqnLJlF4QjF0es+k0Mc3VZULlWseKxiJVY8AT5SuhIrngAf6aMrmUUyi1hl+eiK7TNR48SKH1mxEiueAB/poyuZRTKLwilLZlE4QnH0us/kEEe3FZVLFSseq1iJFU+Aj5SuxIonwEf66Cpos6hY/mLW7vR2VqV4FdtzcI/N+22ezf9t/jEX365GO6tZtqbbUvfn7T/bu8vfTY6pf0J9a3VyK5uwYoL9tO0n/saJyOYnNjf8hJoPK6L7hA4RK354xUqseAJ8pHQVHVYyi2QWhVOWzKJwhOLodU2k/GCJlVjxBPhI6UqseAJ8pHQVHVZBm0XX1LzGzih7hu3ct9OKFShmuSyXPTnnSTvw94HkGzi73Nl2xelX2JEjRwz/y50rt01bPc3W7lxrLau1tBNLnuiOm/TjJFu6eSl/40SkzCICUjoheg/y7MRKrHgCfKR0FR1WMotkFoVTlsyicITi6HVNpPxgiZVY8QT4SOlKrHgCfKR0FR1WQZtFvRr1sqL5i9qAWQPsqjOusjOPP9PeW/Ge/bD1h+Qb6HZON6taoqr7fdLBJOv6r662afcmm7d+nrWp3sby58nvDKSJP060ZZuX8TdORMosIiDJLIoc0v8dqfmKRyhWYsUT4CN9dCWzSGZROGXJLApHKI5e95kc4ui2onKpYsVjFSux4gnwkdKVWPEE+EgfXQVtFjWq3MgtIdv/935n+uw7uM+en/e8HTp8KPkG7ql/j5UqVMqe+/o523don/Vr2s92H9jt/j9ahzM72OllTpdZxA95TCJ9dBWTC8rGJxErfnDESqx4Anykj65kFsksCqcsmUXhCMXR6z6TQxzdVlQuVax4rGIlVjwBPlK6EiueAB/po6ugzSJkCWEZGTKGCuUt5C76te9fsw1/bUi+gfsa3mfFCxS3x7963JlIjzZ/1PYe3GtPz31aZhE/zDGP9NFVzC8um51QrPgBESux4gnwkT66klkksyicsmQWhSMUR6/7TA5xdFtRuVSx4rGKlVjxBPhI6UqseAJ8pI+ugjaL+jfvb4f+PmRPzH7CmlZtai1OauHqDqH+UKjdXvd2K1e0nI1YMMKSDiVZzwY9bce+HTbsm2Eyi/hhjnmkj65ifnHZ7IRixQ+IWIkVT4CP9NGVzCKZReGUJbMoHKE4et1ncoij24rKpYoVj1WsxIonwEdKV2LFE+AjfXQVtFn0YJMHrUDeAjZzzUxDIesyhcvY1FVTXSFrmEez1852S9CwXG1r0laXWVShaAVbtGmRffjThzKL+GGOeaSPrmJ+cdnshGLFD4hYiRVPgI/00ZXMIplF4ZQlsygcoTh63WdyiKPbisqlihWPVazEiifAR0pXYsUT4CN9dBW0WVSnYh276OSLXL0iGES/7/rdRn0/ylqf0toanNDA5v8232asmWE96vewYvmLuZvCkrUXv33R/RcttKOaClzzYx6LSB9dxeJ6svM5xIofHbESK54AH+mjK5lFMovCKUtmUThCcfS6z+QQR7cVlUsVKx6rWIkVT4CPlK7EiifAR/roKmizKHSVFYtVtC17thxV2Dr1HZQtUtZyWS4XF6um3dAiJ+2jq8jPkhhHihU/jmIlVjwBPtJHVzKLZBaFU5bMonCE4uh1n8khjm4rKpcqVjxWsRIrngAfKV2JFU+Aj/TRVbTMIv5qYxspsyhy3j66ivwsiXGkWPHjKFZixRPgI310JbNIZlE4ZcksCkcojl73mRzi6LaicqlixWMVK7HiCfCR0pVY8QT4SB9dySw6+o9knnLOi/TRVc6jc/QdixWvALESK54AH+mjK5lFMovCKStLzKLdu3dbkSJFLFeuXMnXt2fPHitUqJDlzp07w2t++umnrU+fPskxPm+IcDDi/XWx4EdQrMSKJ8BHSldixRPgI6Wr6LCSWSSziFWW3oMsKTOxEiueAB8pXUWHlcyiyMyitLyMlCP0119/WbFi/9QmjPcWU7Noy5YttnTpUrvyyivtl19+seOPP962bdtmnTp1srx589ratWutd+/e1rVr13S5yixKX3KaSPm3o1iJFU+Aj5SuxIonwEdKV9FhJbNIZhGrLL0HWVIyi3hSYiVWPgT4WJ/5SmaRn1mUlpeRcmQWLlxoN954o1WtWtX5GqNHj7a6devyg5cNI2NqFk2cONHmzp1rQ4YMsc2bNzuz6KmnnjK4b0888YRt2rTJKlSoYMgyKly4cJq4ZBbJLArifeQzkQZxvnjuQ6z40RMrseIJ8JHSVXRYySySWcQqS+9BlpQMEJ6UWImVDwE+1me+klnkZxal5WWkHJlWrVrZ/fffb/gvYkeMGGHTpk3jBy8bRsbULArdP5afhcyim266yVq2bGkdO3a0I0eOuGVoq1evtmrVqsks8hSMz+Tg2XXChYsVP6RiJVY8AT5SuhIrngAf6aMrmUUyi1hl+eiK7TNR48SKH1mxEiueAB/poyuZRX5mUVpeRsqRqVy5sn399deG/y5atMhat27tPI94blluFl1zzTWGn6uvvtpxLFeunM2fP99OPPFEmUWeyvKZHDy7TrhwseKHVKzEiifAR0pXYsUT4CN9dCWzSGYRqywfXbF9JmqcWPEjK1ZixRPgI310JbMoWLOoePHitnLlSrdSCuPQrFkzW79+PT942TAyy82iAQMGGMDee++99vfff1upUqXszz//dBlGc+bMccvWUjcVuE5bST6TQzbUYkwvSax43GIlVjwBPlK6EiueAB/poyuZRTKLWGX56IrtM1HjxIofWbESK54AH+mjK5lFx5pFqUk3btzYmjRpctSvU66SSvlC06ZNXbmdOnXq2IIFCww+x0cffcQPXjaMzHKzCABffPFFt55vwoQJNnjwYJs3b166qFSzKH0V+UwO2VCLMb0kseJxi5VY8QT4SOlKrHgCfKSPrmQWySxileWjK7bPRI0TK35kxUqseAJ8pI+uZBZlPrMoKSnJVqxYYfXq1bNevXpZmTJl7IEHHnC1i4oWLWoDBw7kBy8bRmaZWYRq4mXLlrW9e/faxRdfbD/88IP79+eff27169eXWRSBWHwmhwi6T6hDxIofTrESK54AHyldiRVPgI/00ZXMIplFrLJ8dMX2mahxYsWPrFiJFU+Aj/TRlcyiyM2ikJeBnd6RebRr1y5Xd7lRo0ZusEqWLOkSYEqXLs0PXjaMzBKzKC0OWM9Xvnx5y5cvX4aYlFmUPh6fySEbajGmlyRWPG6xEiueAB8pXYkVT4CP9NGVzCKZRayyfHTF9pmocWLFj6xYiRVPgI/00ZXMosjMooxG49ChQ7ZhwwZX5BrL1eK9ZRuziAUps0hmEauVjOJ8JtIgzhfPfYgVP3piJVY8AT5SuooOK5lFMotYZek9yJLSdvA8KbESKx8CfKzPfCWzKHiziB+p+IiUWRQf40Rdpc/kQHWYwEFixQ+uWIkVT4CPlK6yPys8Hdu/f78VKVKEv9gsjvTRlcwimUWsXH10xfaZqHFixY+sWIkVT4CP9NGVzCKZReGUJbMoHKE4et1ncoij24rKpYoVj1WsxIonwEdmJ11hB07sxIldObGLRXrtpptustGjR9uRI0f4Gw0gMhasli1b5nbsuOGGG1zq9Kuvvmq33367NW/e3L744gvqLj799FNXg3DSpEl2xRVXpHsM+j/rrLPsk08+ofr1CfJhJbNIZhGrLR9dsX0mapxY8SMrVmLFE+AjfXQls0hmUThlySwKRyiOXveZHOLotqJyqWLFYxUrseIJ8JHZSVchs6hHjx72wgsvpHsT3bp1szFjxiSkWfTOO+9Yp06dbO7cua44I7Z/Xbx4sTN+WrZsSQ3s1KlTrW3btvb+++/bVVddle4x5cqVs3POOcc+++wzql+fIB9dySySWcRqy0dXbJ+JGidW/MiKlVjxBPhIH10FaRZN6TTFWlZraQUfL+gutkLRCjb2irHWuHJj25q01QbPG2wvzE/7b6y7699tz7V6zq6ZcI198NMH7vhBFwwy/D6X5bK56+fate9fa3/s/YMHkUbko80etf7N+ye/kppV6nI3mTpZghwssyhBBhK34TM5JNBtR3QrYsVjEyux4gnwkVmtq59++sllzmAnznbt2tnIkSMtZBbBMOnZs6d99913duqpp9q///1v69y5s4XMovvuu8/ee+89O/300+2ll16y6tWr8zceQWS0WaH/Nm3a2KpVq6x27dp23nnn2bBhw9yV3nHHHe4e02sff/yxPfjgg7Zv3z6rW7eu4wKzCBlGDz30kI0fP97tdNq6dWsbPny4wSjCD7aWBbeFCxc6MwomXbFixSKgc/QhPqxkFsksYgXnoyu2z0SNEyt+ZMVKrHgCfKSProIwi7qf092ZOrXK1XIXmeuxf4o6v3/N+3bV6VfZup3rrGKxipY7V24r8VQJ231gd/LNnFvpXHuq5VPW/MTmzhS6fvL1Nm7pOKtToY4tuGWBHTx80Hbu22llCpexkQtH2q1TbuVBpBEps8gfn8wif2bZ9gifySHb3kSMLkyseNBiJVY8AT4yq3UFg+jDDz+07t27u61NYRrBLMIytIoVK7obueuuu5zxgW1Rf/vtN+vXr5/LLDr++ONdZsx///tfa9++vTNIotmizWrHjh3Wu3dvt8SuT58+LrPo5ptvtvz587vlaJdcckmat3fw4EE77rjj3GvgiOP/+usvxwx9og9kK8EcAteQ8YT/jy1nGzdubFu3bnUm1csvv+zMu8w2H1Yyi2QWsXrz0RXbZ6LGiRU/smIlVjwBPtJHV0GYRW9c/oa1q9HOShQs4QyfkFm0odcGK1+0vOUdkNfGXzXeOtTsYFe/d7VN/HFi8s1cX+t6e6HNC1Y0f1HLmzuvXTfpOhu/bLzdde5d9nTLp+2OqXfYjDUzbH3P9fbrn7/aScNO4kHILMoUq9DBMosCwZg9OvGZHLLHFWfdVYgVz16sxIonwEdmpa727NljRYsWta5du9obb7xh06dPtwsvvNCZRVg+hTo9MEluvfVWtyyrSZMmLvPl+++/d2bR5s2bnWGEJVdYeoX+ChcuzN+8Z2QsWKVehlazZk1X2Prbb79N92q//PJLx2rs2LGu1lH//v1twIABzix68cUXXdYQlvjlzp3bWrVqZd98841t27bN1UQqX768LVq0yA4cOOBYNmjQwKZNm+ZJ5thwH1Yyi2QWsYLz0RXbZ6LGiRU/smIlVjwBPtJHV0GYRaEr29hrozOHQmZRr4a93NKyvw785cygHXt3WKXBlWzfoX3H3MykDpPsihpXJJtFoYDb6t5mj7d43I4rdJw9OP1Be3ru0zwImUWZYiWzKBB82asTn8khe1157K9GrHjmYiVWPAE+Mit1tW7dOqtatWpyQevVq1fbKaec4swimEaXXXaZvfXWW27pGQwNLM0aOHCgIQ5mEbJmSpZShbm6AAAgAElEQVQsaR06dHBZRTnVLAoZTKGC1m+++aZ16dLFmUUwjbZv327r1693orjyyitt8uTJtnv3bqtWrZqdcMIJzkw6fPiwY1mnTh26kHZGKvPRlcwimUXsjOWjK7bPRI0TK35kxUqseAJ8pI+uomkWzeo6y5pVbebqDJUqWMrdQP1R9W3BhgW0WdS/WX97sMmDVjBvQfvsl8+szdtteBAyizLFSmZRIPiyVyc+k0P2uvLYX41Y8czFSqx4AnxkVuvq3HPPtbVr19rzzz9vqLsD0wdmEYobYpkU6uk88sgjLvMIy9VWrFhhzz77rDOLbrzxRpdthP9eeumlbhexaLZYsAoZP8gIwpIymDfhMotgmpUuXdplBd1zzz325JNPuiV7MIvWrFnjlrYNGjTIZRGBVceOHQ3nCS1DA/tdu3bZY489ZoMHD3Z1ojLbfFjJLJJZxOrNR1dsn4kaJ1b8yIqVWPEE+EgfXUXTLDrc/7DtPbjXigwqYg+f97DLEHp72dvWeVLnsGZRp7M6uUyjXtN62Z4De2xL7y12+MhhyzcwHw9CZlGmWMksCgRf9urEZ3LIXlce+6sRK565WIkVT4CPzGpdhbZ5xxW3aNHCZs6caXfffbcr7AxDCMWsQw2mxzPPPONMlNdff91lGmFJGgoyY0cv1PiJZosFq5UrV1q9evVczSHsgoZaQ8WLF3f1nDJqyCDC8jM0FMaePXu2TZw40f37iiuucMv40JBJBOZnnnmmM4tQD2nnzp3ufLVq1XJL0PD7zDYfVjKLZBaxevPRFdtnosaJFT+yYiVWPAE+0kdX0TSLdvTZ4eoY9ZvZz1CbqEaZGq4G0RE7Yv2a9rMnvnrCXlnwirux1MvQkE305AVP2o/bfrT3VrxnyDBav2u9VRlShQeRRqQKXPvjU80if2bZ9gifySHb3kSMLkyseNBiJVY8AT4yO+gqKSnJLZWCkZG6YXcvZB6h2HVau3ShQDOyavLmzcvfdISRsWKFgtVYJgaTKE+ePO5qDx06ZLNmzUrzyhs2bOiyj8DwyJEjycWuUwZv3LjR9u/fb1WqVHG1i1I2LEEDR2QeBdV8WMksklnE6s5HV2yfiRonVvzIipVY8QT4SB9dRdMsuqXOLTb4osFWJF8RZxB9+/u31mBUAxvaeqjdU/8ee2H+C3bPZ/e4GwvtnBYqcI0aR8vvWG5VS1R1r29L2mY3fXSTfbjyQx5EGpEyi/zxySzyZ5Ztj/CZHLLtTcTowsSKBy1WYsUT4COlq/hgBbMImUJptTZt2jhjKTs1H13JLJJZxGrXR1dsn4kaJ1b8yIqVWPEE+EgfXQVpFqV3hXUr1rXlW5anWdg63F1VKVHFFcf+YesP4UKp12UWUZiOCpJZ5M8s2x7hMzlk25uI0YWJFQ9arMSKJ8BHSldixRPgI310JbNIZhGrLB9dsX0mapxY8SMrVmLFE+AjfXQVC7OIv/LoR8os8mcss8ifWbY9wmdyyLY3EaMLEysetFiJFU+Aj5SuxIonwEf66EpmkcwiVlk+umL7TNQ4seJHVqzEiifAR/roSmbR0Z+D2OSkT58+POwcECmzKIEG2WdySKDbjuhWxIrHJlZixRPgI6UrseIJ8JE+upJZJLOIVZaPrtg+EzVOrPiRFSux4gnwkT66klkksyicsmQWhSMUR6/7TA5xdFtRuVSx4rGKlVjxBPhI6UqseAJ8pI+uZBbJLGKV5aMrts9EjRMrfmTFSqx4Anykj65kFsksCqcsmUXhCMXR6z6TQxzdVlQuVax4rGIlVjwBPjKaukJB5quuuspdzNatW9329oULF7a2bdtarly5bNKkSYadv5o1a+Z26Vq/fr3NnDnTKleubC1atDjqJlK/duDAAZsxY4Zt27bNmjdv7o5J2XAu7PCF4s9ly5Z1Ly1btsztmnb66afzgFJERpNVRBeUjQ/yYSWzSGYRK2UfXbF9JmqcWPEjK1ZixRPgI310JbNIZlE4ZWUbs+ivv/6yokWLuj/kM2qp1xL6vCHCwYj318WCH0GxEiueAB8pXWUtq507d9pHH31k69ats4cffthdzEsvveQMoQ0bNtgZZ5xhO3bssN9++81OPfVU+/HHH61Hjx727LPPWpMmTWzevHl2ySWX2GmnnZZ8I6lfg0m0fPlyq169ui1ZssR69uyZHLtw4ULXx5lnnmmLFy+2e++917777jv7/PPP7bzzznM/kTTpiqfmw0pmkcwiVlk+umL7TNQ4seJHVqzEiifAR/roSmZRZGbR7t27rUiRIun6FvA1ihUrxg9aNo7McrMIf7jffPPNDiieAF999dXWtWvXdJHJLEpfTT6TQzbWZEwuTax4zGIlVjwBPjIautq+fbstXbrUvv76a3vooYds79699sILL9jFF19shQoVshIlStgPP/xgderUMXzQjx071rp162bjxo2z++67zx0HM+iyyy5zN4IModSv4YHGkSNHrFatWvbuu+8eVQhx1KhR1rhxY5dB9NRTT9kDDzzgTKP58+c7A0lmEa+PSCN9dCWzSGYRqzMfXbF9JmqcWPEjK1ZixRPgI310JbPIzyzC34X4O/PKK6+0X375xY4//vijBgYPDW+88UarWrWqrV271kaPHm1169blBy8bRma5WTRmzBj75JNP7L333nN/qOMP95UrV8osikAsPpNDBN0n1CFixQ+nWIkVT4CPjKaunnzySevbt6+tWbPG3nzzTWvQoIGtWrXK6tWr5/6N33/wwQeWP39+t+zs22+/tS5durhMIxg7FStWtMOHD1ulSpXs+++/P+q1mjVr2vTp010mLJaWderUyWUT4QkTsojwGVaqVCkbMmSIO6506dLuMw4PRGQW8fqINNJHVzKLZBaxOvPRFdtnosaJFT+yYiVWPAE+0kdXMov8zCKUOZg7d677G2/z5s3HmEWtWrWy+++/3/BfxI4YMcKmTZvGD142jMxys2jjxo32r3/9y/3BPmfOHJe236tXL5lFEYjFZ3KIoPuEOkSs+OEUK7HiCfCR0dRVyCzav3+/vfzyy26pGDKKFi1a5GoXIdOoQIEChrju3bvb+PHj3WcPahEdOnTImUQwi7B8DQ80Ur72888/u6VqJ510ksseQmbs77//bgULFnRmUe3atV1m0aBBg1x2E5rMIl4XmY300ZXMIplFrN58dMX2mahxYsWPrFiJFU+Aj/TRlcwiP7MoNArIMk/LLEIdSyS/4L/4m7N169YuLp5blptFcNuuv/56u+WWW9wTXTzpnTJlimMK8wjuXerWp0+f5F/5vCHieaCYaxcLhtI/MWIlVjwBPlK6yh6sQmYRrgZPdrDEGQWt27Vr54wdfJAjE6h48eJ27bXX2siRI23Xrl3OKLrtttusZMmSyTeS+rVff/3VFcNGphCWtnXu3PmozyMYT/g9ahqFlrPJLOJ1kdlIn/egzCKZRazefHTF9pmocWLFj6xYiRVPgI/00ZXMomPNotSkUV4AdS1TtvTMIvxdiRVSFSpUcN81sZEKNkqJ55blZhFS9mvUqOHqPqAYFCCn5dSFIKtmUfpy85kc4lm0QVy7WPEUxUqseAJ8ZCx1hdpFMHBCDaYQfpANFGoojo3Pn7Q2WUj9GrKO0CcMp9QNphR2TEvrNZ7O0ZGxZBXpNWaX43xYySySWcTq1kdXbJ+JGidW/MiKlVjxBPhIH13JLAo2s6hp06ZuiRpqYy5YsMAGDBjgNl6J55blZtFzzz3nnDfsWINCUPXr13dPflELIq0ms0hmURBvOJ+JNIjzxXMfYsWPnliJFU+Aj5SuosNKZpHMIlZZeg+ypJS5zZMSK7HyIcDH+sxXMosybxYlJSXZihUrXF1MlNIpU6aM2+AEtYtQ33LgwIH84GXDyCw3i5BFdOmllxpqF6E98sgjrgZEek1mkcyiIN5HPhNpEOeL5z7Eih89scoerLD07KqrrnIXgyVon332matV1LZtW5c5NGnSJLcsDenBqEuEHS2w7Bm1ilq2bHlUdhHSh7HsDOvPUVsPWUOobYRd05o3b+5+n7LhXNgto02bNla2bFn30rJly9wDENQyiqRJVzw1H1Yyi2QWscry0RXbZ6LGiRU/smIlVjwBPtJHVzKLIjeL8Lce/s7D7mhYpoZyBqtXr7ZGjRq5wUJJA2yAgo1O4rlluVkUgrdhwwYHPF++fBnylFkksyiIN5zPRBrE+eK5D7HiR0+sspYVlosh3XfdunX28MMPu4tB1ioMIXzGnHHGGbZjxw777bff7NRTT3W7n/Xo0cMVqobxg1pGMHlSmjrPPvus+yMAH/gobA2TaPny5a4m0ZIlS1zx7FDDlqmIO/PMM23x4sWuMDaKXn/++eduJzTthsbrI9JIn/egzCKZRazOfHTF9pmocWLFj6xYiRVPgI/00ZXMosjMooxGA2UO8DcnHiamVdqAH8nsEZltzCIWh8wimUWsVjKK85lIgzhfPPchVvzoiVXWstq+fbt7wgPTBzuRoa7QCy+84HY/Q82iEiVKuF3RsJZ89+7dNnbsWLvvvvsMy6FRP+/TTz91hhKWQ6PhqdG4ceNcDPqEUYQP/iNHjlitWrXs3XffdfX2Qm3UqFGGQogwm2BAIQ0ZphE2b4CBJLOI10ekkT7vQZlFMotYnfnoiu0zUePEih9ZsRIrngAf6aMrmUXBm0X8SMVHpMyi+Bgn6ip9JgeqwwQOEit+cMVKrHgCfGQ0dRXaDW3NmjX25ptvWoMGDWzVqlVuPTn+jd9/8MEHbvfNW2+91YYNG+bMpD///NM6duzolqWhiDWWpX3//ffWpUsXl4UE06dmzZo2ffp0tw4dS8s6derksolQ0BpZRDCdSpUq5Qoc4jikH2s3NF4XmY300ZXMIplFrN58dMX2mahxYsWPrFiJFU+Aj/TRlcwimUXhlCWzKByhOHrdZ3KIo9uKyqWKFY9VrMSKJ8BHRlNXIbNo//799vLLL7ulYsgoWrRokatdhEyjAgUKGOLatWvnahLdeeedzuyBUXTWWWc5swjL18aMGeOWk6FOEVKLf/75Z7cc7aSTTnLZQ6ixh00ZsLMajq9du7bLLBo0aJDLbkKTWcTrIrORPrqSWSSziNWbj67YPhM1Tqz4kRUrseIJ8JE+upJZJLMonLJkFoUjFEev+0wOcXRbUblUseKxipVY8QT4yGjqKmQW4WpQ7BpFrlHQGsYQjB0sKUMmUPHixe3aa691hlKePHls3759LqZq1arJNzJy5EhXtBBG0W233Wa//vqrM5eKFSvmspE6d+6cHIt7Gj9+vPs9ahpddtllMot4SQQS6aMrmUUyi1jR+eiK7TNR48SKH1mxEiueAB/poyuZRTKLwilLZlE4QnH0us/kEEe3FZVLFSseq1iJFU+Aj4ylrlC7CAZOqMH4wQ+ygUINNYywtCythsLZMJZChQqRdYQ+YTilbjClsGNaWq/xdI6OjCWrSK8xuxznw0pmkcwiVrc+umL7TNQ4seJHVqzEiifAR/roSmaRzKJwypJZFI5QHL3uMznE0W1F5VLFiscqVmLFE+AjpSux4gnwkT66klkks4hVlo+u2D4TNU6s+JEVK7HiCfCRPrqSWSSzKJyyZBaFIxRHr/tMDnF0W1G5VLHisYqVWPEE+EjpSqx4Anykj65kFsksYpXloyu2z0SNEyt+ZMVKrHgCfKSPrmQWySwKpyyZReEIxdHrPpNDHN1WVC5VrHisYiVWPAE+UroSK54AH+mjK5lFMotYZfnoiu0zUePEih9ZsRIrngAf6aMrmUUyi8IpS2ZROEJx9LrP5BBHtxWVSxUrHqtYiRVPgI+UrsSKJ8BH+uhKZpHMIlZZPrpi+0zUOLHiR1asxIonwEf66EpmkcyicMqSWRSOUBy97jM5xNFtReVSxYrHKlZixRPgI310tW3bNr7jBIxcu3btUTu0ZXSL27dvT0ACGd9S6dKlkwN8WM1dP9fmrpubY3g1rtLYLj/n8uT79XkP5hhI6dyoWPEKECux4gnwkdJVdFjJLJJZFE5ZMovCEYqj1zWR8oMlVmLFE+AjpavosOr3SD97YuATfOeKFAEROIZAl3u72JghY2QWRaANze08NLESK54AHyldRYeVzCKZReGUJbMoHKE4el0TKT9YYiVWPAE+UrqKDquuPbvahDcm8J3HeWS+3PksX558yXfx999/W548eai7SkpKsn379lGxiRBUsGBBK1y4cESsEuH+fe7hrrvusv79+8ss8oH2f7Ga23loYiVWPAE+UrqKDiuZRTKLwilLZlE4QnH0uiZSfrDESqx4AnykdBUdVqoto9oyrLL0HmRJmYmVWPEE+EjpSqx4AnykdBUdVjKLZBaFU5bMonCE4uh1TaT8YImVWPEE+EjpKjqsZBbJLGKVpfcgS0pmEU9KrMTKhwAfq/lKrHgCfKSPrmQWySwKpyyZReEIxdHrPpNDHN1WVC5VrHisYiVWPAE+0kdXMotkFrHK8tEV22eixokVP7JiJVY8AT5SuhIrngAf6aMrmUUyi8IpS2ZROEJx9LrP5BBHtxWVSxUrHqtYiRVPgI/00ZXMIplFrLJ8dMX2mahxYsWPrFiJFU+Aj5SuxIonwEf66EpmkcyicMqSWRSOUBy97jM5xNFtReVSxYrHKlZixRPgI310JbNIZhGrLB9dsX0mapxY8SMrVmLFE+AjpSux4gnwkT66klkksyicsrKNWbRnzx47fPiwFStWLMNrfvrpp61Pnz7JMT5viHAw4v11seBHUKzEiifAR0pX0WEls0hmEassvQdZUqrDw5MSK7HyIcDHar4SK54AH+mjK5lF/mYR/Iq9e/dakSJF0h2UXbt2WfHixY96HcfB7wjndfAjHZtIL7PoyJEj7qpy5coV2NVhi9/u3bvbzp07LXfu3HbOOefYY489lm7/MovSR+8zOQQ2gHHakVjxAydWYsUT4CN9dCWzSGYRqywfXbF9JmqcWPEjK1ZixRPgI6UrseIJ8JE+upJZ5GcWvfHGGzZ06FCrVKmSHTp0yN5++20rW7Zs8uBMnTrVEFOoUCFbu3atDRs2zHkbY8aMsY8++siKFi1qMJIQU6pUKX5QszAyrFmEGx03bpzNmzfPvvrqK3epLVq0sCZNmtiFF15oZ599dqYuH/C+/fZbe/nllw1m1OTJk+3yyy+3PHnypNmvzCKZRZkS3P8d7DORBnG+eO5DrPjRE6vosJJZJLOIVZbegywpZcvwpMRKrHwI8LGar8SKJ8BH+uhKZhFvFsEcypcvn/35559WokQJu/vuu61ChQrWt2/f5MGpXLmyvf/++1a/fn1nCE2YMME++eQTK1eunE2fPt3OOussa926tUuUad++PT+oWRiZrlkEIIMGDbL+/fu7y6tdu3ayi7Zw4ULbsmWL+33Xrl2da5Y61Yq9p0ceecQWLFhg6POEE06wxx9/3Nq0aZPu4TKLZBax2soozmciDeJ88dyHWPGjJ1bRYSWzSGYRqyy9B1lSMkB4UmIlVj4E+FjNV2LFE+AjfXQls4g3i9asWWMtW7a01atXu8EYPny4LV682EaPHp08OE2bNrUnn3zSGjdubM8884yNGDHCxWPV1Pjx461mzZr23Xff2ZIlS6x06dL8oGZhZLpm0caNGx2Q22+/3a666irnnKVsf/31l33xxRcOxMCBA+3888+P6Da6devmMpbgui1atMh69+5t69atc0vd5syZY3Pnzj2mX9UsShu1z+QQ0WAl0EFixQ+mWIkVT4CP9NGVzCKZRayyfHTF9pmocWLFj6xYiRVPgI+UrsSKJ8BH+uhKZtGxZlFq0jB+sKJq6dKlLhto5cqVLuStt96yL7/80kaNGpV8CH53//3328UXX2wTJ060GjVquBVUOB6JNViR9dJLL9m0adOsQYMG/KBmYWS6ZhGKMGFZGH6uvvpqa968ud17771pXuqBAwcsf/78Ed3GfffdZwUKFHAuHBrStGAQnXLKKWn2p8yi9DH7TA4RDVYCHSRW/GCKlVjxBPhIH13JLJJZxCrLR1dsn4kaJ1b8yIqVWPEE+EjpSqx4Anykj65kFvGZRShqXbhwYbchF5JahgwZ4galZ8+eRw0OMpDgZWCV1uzZs90yterVq1tSUpKrZYQsI9RqHjx4MD+oWRgZtmYRrq1t27Yu+2f9+vVujV6QDQ7ca6+95tbx/fbbb9awYUPbsGGDahZFANlncoig+4Q6RKz44RQrseIJ8JE+upJZJLOIVZaPrtg+EzVOrPiRFSux4gnwkdKVWPEE+EgfXcks4s0ijAAyg1BnGbWHLrroImf8IGtoxYoVVq9ePevQoYP7adeund14442GZWkdO3a08uXL27Jly6xq1ap2yy23uKLXWL0VD40yi7DEbNasWe5+qlWrlnxfSMfKaNs4BsD+/ftdgSgsQ4NbB+iAml5TZlH6VH0mB2ZsEjlGrPjRFSux4gnwkT66klkks4hVlo+u2D4TNU6s+JEVK7HiCfCR0pVY8QT4SB9dySzyM4uwo1nnzp3dYFxyySWuDhFMIBhG2OXs008/TV6JdfLJJ7sd0PLmzevqO//73/92O6edeOKJ9p///OeoXdT40Y19JGUWIbPojz/+OObqZsyY4QyeINqOHTvcWr70dkELnUNmkcyiIPTmM5EGcb547kOs+NETq+iwklkks4hVlt6DLCkVbeZJiZVY+RDgYzVfiRVPgI/00ZXMIj+zCKOA5WRYRpa6nnNohLD8DBuBVaxY8ahBQ9me7du3uyyjeGqUWRS6IThmyASCK5ZVTWaRzKIgtOczkQZxvnjuQ6z40ROr6LCSWSSziFWW3oMsKRkgPCmxEisfAnys5iux4gnwkT66klnkbxbxI5EYkZRZBNE9+OCDNmHCBHfXF154ofXr18+tw4t1k1kksygIzflMpEGcL577ECt+9IJghU0FsNskMi0Tufmwklkks4h9L/joiu0zUePEih9ZsRIrngAfKV2JFU+Aj/TRlcwimUXhlEWZRddcc40zivDfokWLJptGmzZtCmwZWrgLDb0us0hmEauVjOJ8JtIgzhfPfYgVP3q+rLDOGeuZb7jhBqtcubItWLDAWrRo4cyigwcPunXOidp8WMksklnEvg98dMX2mahxYsWPrFiJFU+Aj5SuxIonwEf66EpmkcyicMoKaxahllDp0qXt8ccft4cfftj1N3nyZLvyyivt+++/d9W8Y9lkFsksCkJvPhNpEOeL5z7Eih89X1bvvPOOderUyW2x2ahRIxswYID179/fhg8fbnfeeafbmjNRmw8rmUUyi9j3gY+u2D4TNU6s+JEVK7HiCfCR0pVY8QT4SB9dySySWRROWWHNIhRpypcvn11//fU2atQoV4D6qaeecsvQVq1aZdWrVw93jkBfl1kksygIQflMpEGcL577ECt+9HxYIbZNmzZuHq1du7bdfPPNzihCUbzzzjvPPvvss3QzN7GLArbuXLlypTVv3tyGDBniCulddtlldtxxx9kbb7xhv/32mzP1b731Vrv88svt4osvdtt8zpkzx2666SbX/+HDh93NffXVV9aqVStnUmHTgldeecVefPFF27ZtmzVr1syGDh3qspyw2UH9+vVtyZIltnnzZrezw3//+1+bNm2aOweuCQYXTLBXX33V1q5d63aNGDhw4DFZUj6sZBbJLGLfhT66YvtM1Dix4kdWrMSKJ8BHSldixRPgI310JbNIZlE4ZYU1i9BB9+7d7fXXX3d9FStWzC2RwJK0d999N1z/gb8us0hmURCi8plIgzhfPPchVvzo+bBC1mbv3r1t9OjR1qdPH2vXrp3L3pw5c6YzWjDvprUMbf369ValShVr3769M4C6detmt912mzN4sJTthBNOsHnz5tkvv/zizHwYNTfeeKNVqlTJ3Ui1atWc8X/vvffa0qVL7dJLL3W///jjj53J07hxY9c/jCW8dtddd7kfXCP6x2cAHh7AGEKDSbRhwwb77rvv7JNPPnFmEwysrl27WqFChdx14QEDjk/ZfFjJLJJZxL4LfXTF9pmocWLFj6xYiRVPgI+UrsSKJ8BH+uhKZpHMonDKosyivXv32gcffODMIWwV17FjR2cWlSpVKlz/gb8us0hmURCi8plIgzhfPPchVvzo+bJKvQztvvvuc1lCMORRHy6tBmMmZPzAqEFG0HXXXWclSpQIaxZdcsklbi6HCXX22We7LTxhPq1bt86qVq1qvXr1cuYSMoWwzBiG0/jx452BhGwmmEUwuJ555hmXZTR16lRXW+nzzz93xtWbb75p3377rctKgjmETNRBgwZZvXr13O+zm1nU4qQW1vCEhrZpzyYb/f3oY3C3q9HOapat6bKlft7+s727/J8HJF3+1cWqFK9i+//ebz9s/cGmrJrCi4SIbH5ic8NPqPnqijhFwoaIFT+0YiVWPAE+UroSK54AHyldRYeVzCKZReGURZlFKL6KZQuh3c+wvAFPlvHloVy5cuHOEejrMotkFgUhKH3o8BTFKnqsIjGLcDVffvmly0jCEjAsW8NyNmT1wMw5/vjjbeHChS5rCIZQysyivn37OvMGDa8VKFDAmTgbN250y9hgFuFBAJaaYWkc5vlHHnnEatWqlWwWYQky+rz66qtt4sSJht3bYC4hE+mtt95yhhHMI5hFWMKMVqZMGbvnnnuylVlUNH9R69WwlzOCdu7baUO+GXLU9Z1d7my74vQr3P3hf7lz5bZpq6dZoXyF7Lwq59m+Q/ssb+687mfs4rG25s81vFDCRMosihyl5iuenViJFU+Aj5SuxIonwEdKV9FhJbNIZlE4ZWVoFo0ZM8bVsMATZixtwJcQNHw5gWH0xx9/uOLXsWwyi2QWBaE3fejwFMUqeqxCZhEycbDs7KGHHgqbWTRr1iw7//zz7bHHHnPGDrKFtm7dart27XJZRjBqXnvtNXvvvQv04dYAACAASURBVPfcv1OaRSGjJyOzqEaNGq5+EoyfggULuuVuKTOLwplFqKOEDRGQfXTaaae5f2OJHe4tZfPRVTSWoXWv3d3KFylv+fLkS9Ms6nZON6taoqq9t+I9SzqYZF3/1dU27d5kf+77004udbI9P+95O7fSuYbspMWbFtsHP33AC0VmUWCsUnfko6uoXUScdCxW/ECJlVjxBPhI6UqseAJ8pI+uZBbJLAqnrAzNIjwhHjZs2DFmETpt2bKlwbiJdZNZJLMoCM35TKRBnC+e+xArfvR8WcFYwRItLDtbvHixjR071plFu3fvtiJFiqR5YmS6YCkwzCA0GPnPPfecdejQwS0xu+KKK9zvW7Ro4eofwaxBXSMsXUvPLNq0aZNVqFDBZRYhIwhZRXggcOqppxo2OcD1YMc21EAK9QGjasKECcdkFmFpHPqBYYWGrCTUQ0IdpOxiFp1S+hTrXKuzfbTyI7v0tEtt175dx2QW3VP/HitVqJQ99/VzLouoX9N+tvvAbvf/0S477TJD9lHu3Llt5IKRtnH3Rl4oYSKVWRQ5St/3YORniv8jxYofQ7ESK54AHyldiRVPgI/00ZXMIplF4ZRFLUPDMgR8AahTp064/qL+uswimUVBiMxnIg3ifPHch1jxoxcJK9T8gRlTvHhxV+Mn1ObPn+9MpNQNmT8wiLBT2Z49e1ytoZQN/eG4zGR9wpD6/fffncGEZVqRtKSkJFcTKb0+fFgFnVnUp3EfSzqUZMPnD7f+zfunaRbd1/A+K16guD3+1eN26PAhe7T5o7b34F57eu4/D0muP/t6q1aymuMzddVU+27Dd5FgSvMYmUWRo/TRVeRnSYwjxYofR7ESK54AHyldiRVPgI/00ZXMIplF4ZRFmUUofopaF7fccov7wx/bO2PLZHxpiXWTWSSzKAjN+UykQZwvnvsQK370gmSFOkDYMS11g2l/yimn8BeVTSN9WAVpFmHZ2cPnPeyooBZRLvvHDFuzY42NXTI2mdbtdW+3ckXL2YgFI5yx1LNBT9uxb4ct27zMiuUvZh+u/NBOL3u6dajZwf5I+sOGfzs8MNIyiyJH6aOryM+SGEeKFT+OYiVWPAE+UroSK54AH+mjK5lFMovCKYsyi1Bv4sMPP7TZs2e7pQr4ooL6RTCRUCA1lk1mkcyiIPTmM5EGcb547kOs+NETq+iwCtIsgjl0QbULki+0SZUmduDvAzbpx0mGotdNqza12WtnuyVojSo3sq1JW11mUYWiFWzRpkVWplAZq1yisi3fstzy58lvpx53qi3dvNQdH1STWRQ5Sb0HeXZiJVY8AT5SuhIrngAfKV1Fh5XMopxhFv3999+GFQvpNZRUaNCgQZovhzWLUK8CO9ogk2jAgAGuk08//dRtk4zC1+eccw6v3gAiZRbJLApARqYPHZ6iWIkVT4CP9NFVkGZR6ivEMjTshjb0m6HW+pTW1uCEBjb/t/k2Y80M61G/h8siQkOR6xe/fdFKFChhKI6NXdDQ/tj7h9sNbdf+XfzNh4mUWRQ5Sh9dRX6WxDhSrPhxFCux4gnwkdKVWPEE+EgfXcksyhlmETbBKVGiRIYiQgmKtFpYswgHoZYGToDsIhRdxZK0yZMn2y+//GInn3wyr94AImUWySwKQEYyizwg+nzoeHSbkKFixQ+rD6tomkXhrrhskbJuqdqWPVuOCi1ftLwreI2foJvMosiJ+ugq8rMkxpFixY+jWIkVT4CPlK7EiifAR/roSmZRzjCL9u/f7zbDQcMGNq+++qp17drVrRabPn26YaflTJlFgwcPdrvbpGzXX3+9Ybe0WDeZRTKLgtCcz0QaxPniuQ+x4kdPrKLDKivNIv6OgouUWRQ5S70HeXZiJVY8AT5SuhIrngAfKV1Fh5XMopxhFqVUz6JFi9yuxzCImjVr5nZNxgqyTJlFOMHGjRvtk08+cTvktG7d2urWreu2DA6yYeccZC5lVAdJZpHMoiA0pw8dnqJYZV9WWCb8xhtv2M0330xdJObwmjVr2owZM+yGG26wvHn/WUoVav/973+tWrVqVr169aN+v2rVKvv111+tVatW1HmYIB9dySw6+o8Zhm9OjfHRVU5lFLpvseIVIFZixRPgI6UrseIJ8JE+upJZ5G8WHT582Pbu3es8i/Qaln1hZVbqhr/bsXlN2bJl+QENOBKZRZUrV7bnn3/e7r33Xrv66qtt7ty5tnnz5jTPRC1DAxB8Ifn5559dJ4D0448/2qRJk6xo0aKB3MLatWvtrLPOss8++8waNWqUbp8yi9LH7TM5BDJocdyJWPGDJ1bZlxU+dF544QW77777qIt877333NOEjz76yHr06OHq0aVsf/zxhxUuXNgKFSp01O+XLVvm5v8rr7ySOg8T5KMrmUUyixhNIcZHV2yfiRonVvzIipVY8QT4SOlKrHgCfKSPrmQW+ZlF8EOGDh3qdofH3+Bvv/32UcbP1KlTnWeCv6PhbQwbNuyo+s5YqYW/qbHjcVY2PDj+4YcfrFixYvbXX3/Z3Xff7a41rUaZRW3btjXcfOqGzoMwiw4cOGDXXHONrVmzxl555RWZRRGqx2dyiPAUCXOYWPFDKVbZixXqxSHLJ3/+/Na9e3d79tln7bjjjjPsdHDVVVc5E/+OO+6wP//8083beGIAk2j37t22c+dON9eGzKIvv/zS1Z5LSkqy6667zm1agMwiPBHBUwacA3M8NjKYMmWK+1ApWLCgy0rCa5lpPrqSWSSziNWaj67YPhM1Tqz4kRUrseIJ8JHSlVjxBPhIH13JLOLNotCmX/j7GrWcYbBgl3jUcg41ZOy8//77Vr9+fWcaTZgwwa3MQsPf3qgVhH6y2izCzmhPPvmkM67w9/9tt91mFStWjMwsCoFBRg9u8rLLLrM8efLY+PHjbcGCBZYrVy5evelE4qn4BRdcYMOHD7dHHnlEZlGERH0mhwhPkTCHiRU/lGKVfVhhqe4777xjd955p/30009WsmRJe+211+zhhx925s6ePXvcxI8nF8gSgnFUo0YNly6L5cMvvfSSXXTRRW4u79atm/vQwu9Xr15tMO1hAJ122mn2+eefO8MJy46R7dm0aVObM2eO3X777fb666/b+eefbyeddBIPJo1IH13JLJJZxIrNR1dsn4kaJ1b8yIqVWPEE+EjpSqx4Anykj65kFvFmEZJaWrZs6f5mRoNvsXjxYhs9enTy4ODvZZgwjRs3tmeeecZGjBjh4jEmMGT69evnagRltVnEq8ksbGYRlpzBHOrZs6dLqUJRJFTTRvoSlqLhi0hm2sSJE90uayiWjS8tMosip+kzOUR+lsQ4Uqz4cRSr7MMKKa0wcm666SZbuXKle7IB4x6GO54SbN261c3LWIOMcUPxuqpVq7q5G0Xs8KEFYx5mUceOHW3cuHFu3kWWKOZ5rGM+9dRTDbWLevfubevWrbOPP/7YmUWhZWhvvfWWNWzY0O2gkJnmoyuZRTKLWK356IrtM1HjxIofWbESK54AHyldiRVPgI/00ZXMIt4sWrp0qbVv3979/Y2Gv4eRoT9q1KjkwcHv7r//frv44osNHgd8kq+++so9ZIWphKykRx99NOZmEVYXpJU5hMyo0P2kp7CwZhEOxJID3DyeaF977bXJfQWxDA1fOrZs2eKWUXz33XfuiwrW/6GANp5k42l56tanT5/kX/m8Ifi3WXxGigU/bmKVNazwHseyqVBtMmTEnHfeec5lh4GBSRfGBiZZmBxYloplVJgfkB0DcwQmBeYIZMjAKIFxjczH008/3U3ImB8wvmeffbar7o/+0Qf6xdaR8+bNc2YLzBGYJ5hzML9hEsXxyL6BydK8eXP37zJlytCwYqErZPYgC+jgwYOusPXLL798lFmEotWY+HGv4AVTCB9QuH8U1Uu5DA3L05CNhA8vLGHDwwBkFmFDA/SBDxf0AYYyi2gZZDpQu6FFjjAW78HIry57HSlW/HiIlVjxBPhI6UqseAJ8pI+uZBYdaxalJo0soSZNmrjvIajriUQarKwaMmSIC0VCTcqGDCT4F1idNXv2bOvQoYP7zlKvXj1XDgKbxtxyyy3uO0isGspN4LtQqOFvfOjk8ssvtw8++CDDy6DMInzpQLoUnkjjy8XChQvdjQNcZtv69ett3759rhvU38DSByx1w2Ck1VTgOn3iPpNDZsct3o8XK34Eg2KFLRlDmYgDBgywQYMGuff+ihUrXGomDA2YE9hdoFy5cnbGGWfYF1984cwLTKyol4NjMAkPHjzYvd6iRQt78cUX3fEwTULZLsiKgSkF4wSZNtjdC/cBc+XTTz91GTQ4/swzz3Rz2oMPPuiWcuEc+FBAtg2MJkzuMLbYFhSrcOfDnJzRrpGhJWUp+wHbtGrM4fdYfpayBlFo6dm3337rzHwYTEE3H1bKLFJmEas/H12xfSZqnFjxIytWYsUT4COlK7HiCfCRPrqSWcRnFmEE8CAa3zewKRe+Izz22GPOD8F3GZhB8Efw065dO7vxxhtdZj4e2qKsAxqWreE7DGoZnXDCCfygBhyJ7xFVqlRxdUrxED2jlq5ZhC9xKM6EbdWw5u6BBx5w6/Si2VBI+6GHHlLNoggh+0wOEZ4iYQ4TK34og2QVMn6QqQLzuWvXri6DCJk+GZlFyHSBwYNtKFGPBxMtijzjWBSTK126tJuAMeFNnz7dLceCiYSGJwHIPoJRsmTJEncs+kAsspFQ9wcTOgwimCL4wXWiMB3OiWLPMJGYFiQr5nzRikHdIzwNgWmPJxFBbGSQ+lp9WMksklnEat1HV2yfiRonVvzIipVY8QT4SOlKrHgCfKSPrmQW+ZlFWAXRuXNnNxiXXHKJW+GAv5lhGOH7Ah5IoxQE2sknn+xWTeDBdajhISzqFmVlzSI8vEdm1H/+8x/D9cDnSXmNqZWWrlkUqlUU2lLt+OOPP+YLA9buIQsglk2ZRenT9pkcYjlm2fFcYsWPSpCsUAMHaZfYKSCULbRp0yaXwjly5Ei3HArLnmAK1alTJzmzCL/DhIYWMouQyok4GDvYoQtLyLCkDA0FoDERIw00ZBZhDoNBhKVld911l9v5CxlHmOOQ1YhJHWZ1p06dnNMealjWxpolQbJiRggprjC1kDHFNOzIAONsxowZbnlx6g8H1CrCvYNLyoaxgjnXqlUr5jRUjA8rmUUyiyhRmbkMwpTvX/a4nBgnVvyoi5VY8QT4SOlKrHgCfKSPrmQW+ZlFGAUs6cJ3ENT7Savhb3Nk5ae3uxg/ksFG4u94bGyDUh74/gTT69Zbb3UP3DNqGS5DQ9FpfBFB/Q58CcPSkJQNSxXSWy4W7O39rzeZRemT9ZkcojU+8dKvWPEjFRQrGEFIeYThgLRNLCmDI//DDz+49bIwalDgHnV1sMMAagaFlqFhIgulSaZnFr377rsuUwhLWTH5weVHXTVM6lhuFs4sQkYRUkphFuF4FPKHmYIdxdgWFCv2fPhAeuGFF1zNIqZhyV3t2rXdk44ePXpYvnz5jjoMO6hhTkd9o5QNT01CNYuY8zAxPqxkFskAYTSFGB9dsX0mapxY8SMrVmLFE+AjpSux4gnwkT66klnkbxbxI5G9IvH9C5vk4HsAvpNBJ5deeqn7TpBRo2oW4QvcFVdcYeecc06W37XMIplFQYjQZyIN4nzx3EeQrIYNG+ZMIjjuyOiBsfPUU0/ZL7/84moF4feoJYRaZlj7iwwYZA4xZhGWmGEp69SpU13ftWrVcplFyCDCUqqQWYS1xsg8wu9hgiNrCJlF2M0A8wuWqYWuDyYW6iKxLUhW6Z1z8uTJLssHNYZw3ajNhALgf//9tytSDXMLXPFBABa4d5hEqE2EJyEpC1yjoDjYw1C77rrrHBNkZSCVFuxwDvDB3D9lyhTHFVlcyEpKWeOI5ZMyzoeVzCKZRazGfHTF9pmocWLFj6xYiRVPgI+UrsSKJ8BH+uhKZlHOMIvw0Bffi/BdB98d0PCgGUW6sQIDf9un1yiziJdn9CNlFsksCkJlPhNpEOeL5z6CZoW1sliOhsJu2JEs1PD7bdu2OeMjd+7cESPbsGGDM4YyWn+bUecwXXB9qIXk20fQrFJf5/bt292ulDC7fvrpJ1dv6bXXXnPFuWHuYGczfCAg+wpZQjCOUFQcHwSoyYQleMiewlOEbt26uXRU/H716tVuhzUYQDDn8OQBhhMK8oWKXWN3yttvv92wGxu2AD3ppJMiHiMc6MNKZpHMIlZsPrpi+0zUOLHiR1asxIonwEdKV2LFE+AjfXQlsyhnmUXY/TlUc6lv377ugX2orIfMIv49FreRPpND3N5kQBcuVjxIsco+rNauXeuMHBQEx7aXqOWEpXx4OjB//nxX2Bu7v6G4HsYNS4hRBBzLypo1a+bqRaGwOMwi7M4wbtw4ZxZhuR6MOxT0RrYVahdhRzmYZh9//LHbzSG0DA0fNA0bNkzeeY6nc3Skj65kFsksYnXmoyu2z0SNEyt+ZMVKrHgCfKR0JVY8AT7SR1cyi3KGWYTdz7BjNP7OR5kPrCDAagLsJv3KK69kKC5lFvHvvWwf6TM5ZPubifIFihUPWKyyFytk9iAL6ODBg66wNZbVpTSLkA0FIwkfDDCTYAphpzkYRqgHlXIZGpanIRsJS9awhG3RokUuswi7z6EPLF1DH9i9TmYRr4PMRjY/sbnhJ9T0HuSJipVY8QT4SOlKrHgCfKR0JVY8AT7SR1cyi3KGWQT1oEYsyoFghQK+E2BHaqxEwGqMjBplFsF9Gjp0qFvq8Oijj7on1/fff781aNCAV25AkVqGlj5In8khoOGI227Eih86scp+rGAEFShQIN0LCy0pSxkA4yetXd3weyw/S1mDKLT0DDvQoX4TDKagm4+ulFmkzCJWfz66YvtM1Dix4kdWrMSKJ8BHSldixRPgI310JbMo55hFIQVhcxyU+2BLflBm0WWXXeaWIkycONE9fUZDvREUoY11k1kksygIzflMpEGcL577ECt+9BKFFeoezZ492+2MhgLZaZlMPJW0I31YySySWcTqzUdXbJ+JGidW/MiKlVjxBPhI6UqseAJ8pI+uZBblDLMI5SaKFy+eroiwgQ2Sg9JqYc0iuE/YXhm1LqZNm+YMI2QWYYtqFFjFkoVYNplFMouC0JvPRBrE+eK5D7HiR0+sosNKZpHMIlZZeg+ypPyKzPO9JmakdMWPq1iJFU+Aj5SuosNKZlHOMIuw0Q1qkqJmETa6QSmLmTNnuh3SsAs1ViuMGTMmMrMIOwNVrFjR7b7z3HPPuW2ku3TpYldeeaWra1G+fHlevQFEyiySWRSAjLx2YgrifPHcR6w/oGFQv/HGG64eD9M++eQTq1mzps2YMcNt6Z56BzMUa8Z28NWrVz+qu1WrVrkt6Fu1asWchoqJNSvqorJpkA8rmUUyi1gZ++iK7TNR48SKH1mxEiueAB8pXYkVT4CP9NGVzKKcYRYlJSVZkSJF3I7G2A0ZrV27dq4e6YoVKzIUV9jMIhyN+kTPP/+86whfzDp06OC+eC1cuJBXbkCRMotkFgUhJZ+JNIjzxXMfsWYFs+iFF15wRZuZhiLNtWvXdjt89ejRw2VCpmzYQh7LqVDMLWXDUqtQ0WbmPExMrFkx15RdY3xYySySWcTq2EdXbJ+JGidW/MiKlVjxBPhI6UqseAJ8pI+uZBblDLMIm9bUqFHD+vXr536QDFSvXj1X9BpZRqkftKdUG2UWHTlyxL744gvLlSuX224Nu++g4GnZsmV55QYUKbNIZlEQUvKZSIM4Xzz3EQtWkydPdlk+KLLcvXt3e/bZZ+24445zkxnqpE2aNMnuuOMOt2vX1KlTXR0dmEQozrxz586jdvj68ssv7ZdffjG46Nddd53bGhKZRViLO3fuXHcO1OA555xzbMqUKYZ1ugULFnRZSSmLPEcyZj6sUAcuJ7fNmzdbuXLlKATLtyy3ZVuWUbGJEHTW8WdZ3+59k2/FR1eJcP+ZuQex4umJlVjxBPhI6UqseAJ8pHQVHVYyi3KGWYQH8WeffbYzh1K222+/3fk6GTXKLEJRJGQXIavo1ltvdVsyt2/f3q1zi3XLjmYRvpTCkcvsF83MstREyhMUq+zDavv27W4bRyx1RR20kiVL2muvveZ2X4S5g63dkQWE7R2RJQTjCO441t+2bt3aXnrpJbf+FplFSK189dVX3e9Xr17ttpjH+xK11T7//HNnOP3+++8W2u1rzpw5hokSaZnnn3++nXTSSTyYNCJ9dNWjTw978ZkXM3U+HZyYBLrc28XGDPnf2nEfXSUmEf6uxEqseAJ8pHQlVjwBPlK6EiueAB/poyuZRTnDLIJ6tm3bZh988IHzc7ATGjYwQ1mhcJvYUGYRsogmTJjgVNq3b1+bP3++LV++3NatW5fh9s28rPnIWJhFI0eOdKZYqCErAUvvHnzwwWMqie/YscNKly5td999tw0bNoy/kShE+kwOUTh9XHUpVvxwRZvV2rVrnZFz0003GdIkS5QoYePHj3fL0DDXbN261RXVv/fee12tqVmzZlnVqlXdsrJmzZq54vsXXHCBM4s6duxo48aNc2YRTO48efK4Ym4o6obaRb1793bzFrJ6mjZtmrwM7a233rKGDRvaKaecwoPJpFnUtWdXmzd/XqbOF08HH1f4OCtTuEzyJcMExPpptWMJ1KlTx/r375/8QrTfg4k0BmLFj6ZYiRVPgI+UrsSKJ8BHSlfRYSWzKOeYRVh1gZUcKN3RuHFj950L2UbhWlizKLQb2mOPPeae8OPLV5s2bdwXrSVLlsQ8uygWZhG+fN522212+eWX28knn+yyEJC2BQaPPPLIUUyR3TBgwAD3RRMOXVY2TaQ8fbHKXqyQ2YMsIKybRWFrpESmNIuQuYdJDVmNMJNgCo0ePdoZRjBsYWiHahZheRrmKixZwxK2RYsWucwiFORHH1i6hj7OO++8LDWLVIdHdXjYd6HmK5aUdvjiSYmVWPkQ4GM1X4kVT4CPlK6iw0pmUc4wi/D9CeWD8CAdDQ/NL730UvddK1SXOj2FhTWLUDMEX9RQRwTbquEHJ3vooYfclzQsGYlli6VZhC+fAIkJCqbRFVdc4Zax4N7xb2QwYPkMMiLwZRVL9bBspmfPnvbdd9+5bIZ///vf1rlzZ5s+ffpRx6Fv9Blk00TK0xSr7McKExnml/RaaElZytdh/KSVPonfY/lZyqWhoaVn3377rW3ZssW9Z4NuPrqSWSSziNWfj67YPhM1Tqz4kRUrseIJ8JHSlVjxBPhI6So6rGQW5QyzCDuenXnmmW4lB7wJ7AS9Zs0aw8qKw4cPu7rUEZtFOBC1QgYPHnxUHzBAcIJYt1iaRc8995zLPsD6vieffNIeeOABq1u3bvKXzAYNGrgtvk8//XS3DA2MKlas6JDcdddd9v7779vSpUvdMpivv/76qONQd6VChQqB4tNEyuMUq5zHCnWPZs+e7XZGQ4HscGt0eUL/i/TRVbTMok5ndbJqparZ4189nuYtdPlXF6tSvIrt/3u//bD1B5uyaoqLa35ic2tUuZHlzpXb1v651sYtHWdH7EgkGNI8Bv3jJ9R8WAV2EXHakVjxAydWYsUT4COlK7HiCfCR0pVY8QT4SB9dySzKGWYRVoqhLis2EEJ5j08//dR9F0IyUGC7oS1cuNAVlkXRWOwiBHMEX7pi3WJpFqW8N2wvh/ufN2+eM32eeuop69Onj8uuCtUsQpEo7BaHAruoeYQsoyZNmrhtwMuXL3/UcdHg5jM5ROP88dSnWPGjFWtWmNBgwmI5GtNQqK1mzZo2Y8YMt6NZ6u0fUasIdceqV69+VHerVq1yO7DBXQ+q+bAK2iyqXaG21a9U38oV/WeHsUdnPXrMbV1Q7QI7r8p5tu/QPsubO6/7Gbt4rDOFuv6rqx38+6AdPHzQCucrbNP/33Sbs25OUGicUSSzKDKcPrqK7AyJc5RY8WMpVmLFE+AjpSux4gnwkdJVdFjJLMoZZhE244IXEVqGFlITkmK++uqrDMUVdhkajsZuQS1btnS1iqJlEMF0KV68uKuJlFGLpVmENXwwf6pUqWJlyvxTmBWFvmEWwZFDEd2UZhEYoW4RMq6QeYVaKSgiNXDgQFczJeVx/Fuej9REKlY8AT4y1rqCWQSDFetomYYaRXifhWoW5cuX76jDsIMa5i3UN0rZkGn0888/u50Agmo+rII2i9rVaGc1ytSwAnkLWC7LlaZZ1PHMjnZyqZPt+XnP27mVzrUWJ7WwxZsWW8G8Bd2xMI427d5kDSo3sI1/bbSftv0UFBqZRZkg6aOrTJwmIQ4VK34YxUqseAJ8pHQlVjwBPlK6ig4rmUX+ZhGWbaFmcUabtOzcudPVR03ZmOP4UfaL3LVrlyHxBX5EqJ1xxhmudE65cv88ZE6vUWYROkGND7SuXbu6ncGw+1DqL2V+l/1PNHYmQn+og4SMAHzp69evX7pdxdIsCtUsSnkxIbMI2QrISEhpFiHbCKyQwYBC2MiO+PDDDw3rBPEDsyh0XCSswh2jiTQcof+9LlbZixWq8yPLBzWGkBKJNMnjjjvOUDMNRaqR1Yd6YShaPXXqVJc6CZMItYkwIacscP3ll18aKv7DRb/uuuvs+++/d5lFmCiR7YdzYAkaMiSnTJlixYoVs4IFC7qspJQ1jnhCkekqaLModBX3N7rfiuYvmqZZFIq57LTL7OxyZ7utM0cuGGnXnHmNlSpYyg4dPuSyjTbv2Wzjl423nft2RoIhzWOUWRQ5Ss1XPDuxEiueAB8pXYkVT4CPlK7EiifAR/roSmaRn1mE7/ZDhw61SpUqGR5uv/32287DCDXURR00aJCr6QzvBJtjwaQJdxw/upFF4vsUkljSS8rB94H0dkajzCIYIvgCNm3aNJs4caK7eXzBwo5h+GKX0qXyvYXHH3/crZUDXAgyaQAAIABJREFUzH379rmn/7///nty7Z/U/cXCLBo5cqRbRoZK4W3btj3qEtIzi7Ct95AhQ2zMmDHWrVu35GOwVfczzzyTnJEks8hXIdGJ95lIo3MF8dNrtFlt377dFYq/88477aeffnIT7GuvvWYPP/ywM3ewsxmygFA7DVlCMI5q1KjhXH1k97300kt20UUXucwivPewDBS/x5LZUFFszFEo6gbDCfNLqNj1nDlzXOYkdmM7//zz3XrezDQfVllpFl1/9vVWrWQ1V9Bu6qqp1qRqEytRoIRt+GuDM4yqlKhiK7assAk/TMgMjqOOlVkUOUofXUV+lsQ4Uqz4cRQrseIJ8JHSlVjxBPhI6So6rGQW8WZRaId4PLhG1hBK8qD+cN++fZMHB99Dzj33XPfdAp4F6hbDH0CCTUbH8aMbWSQemKfOdErd05EjadcppcwidLZhwwZnFuELGbIAUjZU0z7xxBMjunp84cMXFjzZRxYOlp4gKyC9qtyxMIsiupEUB8H0Wrt2rTO8YKrFqmki5UmLVfZhhfcKjBzsKoit7TGZjR8/3s0F8+fPd4XYfvzxR4Mhi3GbNWuWVa1a1RnLzZo1sxEjRrhMR8xNHTt2dLsUwizCulw46JiosTMhjFqYt8hmhBHctGnT5GVoWDrasGFDO+WUU3gwaUT66CorzCIsOyuWv5h9uPJDO73s6dahZgf7I+kP+3P/n2552uB5gy3pYJL1a9rPdh/Ybc99/VymeKQ8WGZR5Ch9dBX5WRLjSLHix1GsxIonwEdKV2LFE+AjpavosJJZxJtF8DtQcgYPo9GGDx9uixcvttGjRycPzsyZM61du3Z2+eWXO18D3glWHYU7jh/dyCKRmIMH7Wi33HKLy4rCSq4LL7zQrdbA6q4bb7wxzc4pswjLrfBlDg3mB5Z2YOkYlnbgS9ubb75p119/fWRXb+ae/mO3MdQIws5jLVq0cH3hqT8yC1I3FJYONU0e/6MjFrwExSp7sUJmD+YBTGYobP3yyy8fZRZhEoORtH//fmcmwRTC5AzDCJmPKZehYXkaspHg4GMJG9IukVm0ceNG1weWrqEPFHUL1SxKZLOobsW61rRqU5u9drbVKlfLKpeobMu3LLf8efLbqcedaks3L3X1iS465SL7fzv+nzOJELds8zKb+ONEXihhImUWRY5S8xXPTqzEiifAR0pXYsUT4COlK7HiCfCRPrqSWXSsWZSadOPGjd2GVdjhvH379u67BBq+O2Dl1ahRo5IPefTRR91qIvgkWKIGYwaGTLjj+NGNLHLbtm1uuRwSfmBmoeEhPR6eb9q0Kd0kHcRRZlHlypUdpE6dOrk6PQUKFEi+Ujzlx9P4E044IaKrRxYOvuihVggcunDbycdDZlFEIAI4yGdyCOB0cd2FWPHDFytWMIJSzi2przC0pCzl72H8oP5Q6obfY05JWYMotPQM64mxlBbzTtDNh1WsMotan9LaGpzQwOb/Nt8Vs+5eu7urS4T2x94/XFFrGER31rvTjit8nPs9dkV7ecHLtmPvjsAQySyKHKWPriI/S2IcKVb8OIqVWPEE+EjpSqx4AnykdBUdVjKL+MwirIbChjkoVI0VUFhehoYi0aGGLCIYMo0aNTJkGfXo0cMWLFgQ9jh+dCOLxCoOrAK79NJL7cEHH3QP35H9hFUYyDLKaIMxyiwCHDyBD6VdYU0bXDUsC0m9w5DvLaA+EIrMYgkJ02QWpU9JEymjoH9ixCrnsULdo9mzZ7sJGymXaZlMPJW0I310FS2ziLmH8kXLO4MIPylb6UKlrXC+wvb7rt/tiKW9dpnpP60YmUWRktN85UPO5z3o028ixooVP6piJVY8AT5SuhIrngAf6aMrmUW8WYQRQBForH4466yzXL1U1FxGQg02skIh64svvthtmIMVEMgswlI0rHhI6zgk4MSyIdsJ15KyYfdpGFoZNcosggMFkyZ1wy5E2O4+Mw2FoFAUOmVbtWqV21EsrSazKH3aPpNDZsYsEY4VK34UxSo6rLLSLOLvKLhImUWRs9R7kGcnVmLFE+AjpSux4gnwkdKVWPEE+EgfXcks8jOLkNzSuXNnNxiXXHKJq7GKh9EwjFBEGiuuUJoHD6ZRQgMb9iDLKK3j0qvPzI+0fyQ2Epo+fbrLjEJ915NPPjlsJ5RZhJQquGeoH4T/Yt0btrn+5ptv3NbLsWwyi2QWBaE3n4k0iPPFcx9ixY+eDyuZRUd/QPOUc16kj65yHp2j71iseAWIlVjxBPhI6UqseAJ8pHQVHVYyi/zMIoxCUlKSIWEmvdI5WIGFzXVQxidlC3ccP8L+kVhq9p///OeYA7FCDJsALVmyxJUbSsvXCWsWoeAs6n5gO2osPcOStAEDBtjxxx9v69evj7hWkf9t/nOEzCKZRZFqJ+Vx+tDhKYpVdFjJLJJZxCpL70GWlJbs8aTESqx8CPCxmq/EiifAR0pX0WEls8jfLOJHIvtEIusJm/ukbvBzUFbooYcecnWMUtZ6DcWGNYsQiNQqZBVhjd4dd9zhdkHDm3bDhg1hC1IHjUlmkcyiIDSlDx2eolhFh5XMIplFrLL0HmRJyQDhSYmVWPkQ4GM1X4kVT4CPlK6iw0pmUc4wi5BZ9NVXXx0jIphDlSpVsjVr1tj555+f5q5olFmECtrYqaxXr17Wt29fVyQWphH+f6ybzCKZRUFoTh86PEUfVij0hvW7ObUhEzNfvnzU7ScdTLK9B/dSsYkQ1PbqtjZmyP/q0/noKhHuPzP3IFY8PbESK54AHyldiRVPgI+UrsSKJ8BH+uhKZlHOMYvef//9dEWEGkYogJ1Wo8yi0IHYunr58uWu+HSxYsV41QYYKbNIZlEQcvKZSIM4Xzz34cOqa8+uNnbo2Hi+XV17lAg88PAD9vTj/9sowUdXUbqkuOlWrPihEiux4gnwkdKVWPEE+EjpSqx4Anykj65kFuUMsyi9ZWgpVYVaS95mUajYEQpa9+7d24YNG+YKNqFh67X27dvzyg0oUmaRzKIgpOQzkQZxvnjuw4fVuC/G2fzf58fz7Xpde/1K9e3cSucmH4M6bqkL2nl1mODBKKIXaj66SnAsYW9PrMIikq54RGIlVhEQ4A/RfCVWPAE+UrqKDiuZRTnDLMIyNJQUSq8hs6hp06b+ZtEFF1xgM2fOdFWysZ092lVXXWUTJ050Ba43b97MKzegSJlFMouCkJI+dHiKPqxUh0d1eFhl+eiK7TNR48SKH1mxEiueAB8pXYkVT4CPlK7EiifAR/roSmZRzjGLorIbGlymHj162NChQ61kyZLWsWNHGzlypD311FOudhG2gMOWa7FsMotkFgWhN5+JNIjzxXMfPqxkFsksYrXuoyu2z0SNEyt+ZMVKrHgCfKR0JVY8AT5SuhIrngAf6aMrmUU5wyyK2m5oMIsGDhxo/fr1s9NOO83atWvntq4fMWKE3XbbbbZz504rXrw4r94AImUWySwKQEZuNz/s6qcWnoAPK5lF0lV4Rf0T4aMrts9EjRMrfmTFSqx4AnykdCVWPAE+UroSK54AH+mjK5lFOcMsitpuaDCLOnXq5H5uvPFGa9iwod188802depUe+WVV2QW8e/bmET6TA4xuaBsfBKx4gfHh5XMIplFrLJ8dMX2mahxYsWPrFiJFU+Aj5SuxIonwEdKV2LFE+AjfXQlsyhnmEVpqQe727/++uv2xhtvZCiuDHdDg1mUUVNmEf/GjUWkz+QQi+vJzucQK350fFjJLJJZxCrLR1dsn4kaJ1b8yIqVWPEE+EjpSqx4AnykdCVWPAE+0kdXMotyjll0zTXX2GeffZYspL/++sv9GzvcYyXZPffck6bIMjSLUAgpvW3U0Bt2Q8ubNy+v3gAitQwtfYg+k0MAQxHXXYgVP3w+rGQWySxileWjK7bPRI0TK35kxUqseAJ8pHQlVjwBPlK6EiueAB/poyuZRTnDLMKmZOXLl7fzzjvPKlSo4MS0bt06++abbwwmElaRXX755X5m0bZt2+zf//63W35Wt25dSyvLaO3ata74dYcOHaxBgwa8ijMRKbNIZlEm5JN8qM9EGsT54rkPH1Yyi2QWsVr30RXbZ6LGiRU/smIlVjwBPlK6EiueAB8pXYkVT4CP9NGVzKKcYRZt377dHnjgARs0aJDb0R5t4cKFNmbMGBs+fHiG4ko3swg7naGg9eeff+4KAcNtgiOFAkk//fSTLVmyxJYuXWqnnnqqTZ8+3SpXrsyrOBORMotkFmVCPjKLIoDn86Ejs0hmESsxH12xfSZqnFjxIytWYsUT4COlK7HiCfCR0pVY8QT4SB9dySxKbLPoxx9/dKZQ586dkwW0YcMGmzx5so0dO9aQ+IOso4xahsvQcOCHH37oill//fXXlnJtW4sWLaxt27bWpUsXy5cvH6/gTEbKLJJZlEkJucN9JtIgzhfPffiwklkks4jVuo+u2D4TNU6s+JEVK7HiCfCR0pVY8QT4SOlKrHgCfKSPrmQWJbZZhJJC1157raGYNXQxbtw4lwgUat27d7dRo0ZlziwKHX348GFbtWqVW45WvXp1y507N6/aACNlFsksCkJOPhNpEOeL5z58WMksklnEat1HV2yfiRonVvzIipVY8QT4SOlKrHgCfKR0JVY8AT7SR1cyixLbLNq0aVNyjaKQgm677TZXp6hx48aWP3/+sMLKMLMIS86mTp1qb7/9tp155pl20003WcWKFW3KlCk2YMAAmzVrlhUuXDjsSYIMkFkksygIPflMpEGcL5778GEls0hmEat1H12xfSZqnFjxIytWYsUT4COlK7HiCfCR0pVY8QT4SB9dySxKbLMIqtmxY4e98847NmLECFdCCO2iiy6y1q1b24UXXmg1a9bMUFwZmkVvvfWW3XDDDckdoHbR/PnznVnUrVs327lzpxUvXpxXbwCRMotkFgUgIy1D84Do86Ejs0hmESstH12xfSZqnFjxIytWYsUT4COlK7HiCfCR0pVY8QT4SB9dySxKfLMopXJQw2jChAmuXhF0gmLXmapZdPHFFxuWn6Fu0SeffGJXXnmlXXLJJe6/WOMWpFm0Z88eK1SoUNjlbTKLZBbx06VYxZqVzCKZRazmfP6YYftM1Dix4kdWrMSKJ8BHSldixRPgI6UrseIJ8JE+upJZ5G8WwRvZu3evFSlShB8UM+epRHKc10nI4CNHjrjC16hf1Ldv3wyPyjCzqEmTJrZx40abOXOmVa1a1UaPHu2WoiHDCEIMwizatm2bderUyfLmzesqcvfu3du6du2a7kXLLJIBQr4PMgzzmUiDOF889+HDSmaRzCJW6z66YvtM1Dix4kdWrMSKJ8BHSldixRPgI6UrseIJ8JE+upJZ5GcWvfHGGzZ06FCrVKmS2yEepXrKli2bPDhfffWV3XzzzXb22We73yHBpmPHjhbuOH50Yx+ZoVn05ptvut3O0P7++2+X9XP//ffb888/734XhFn01FNPuV3WnnjiCQsVYUKWUXq1kGQWySwK4m3iM5EGcb547sOHlcwimUWs1n10xfaZqHFixY+sWIkVT4CPlK7EiifAR0pXYsUT4CN9dCWziDeLYA5hB/g///zTSpQoYXfffbcrHp0yMwc7ix08eNAZRkiEQWOO40c39pEZmkW4nG+++ca++OILe/DBB91OaGj4/8g2euihh9zSscw0ZCq1bNnSuW5IiYIhtXr1ape9lFaDiVSwYMHkl2Bi5cmTJzOXkDDHigU/lGIVHVaHTjhkBysd5DuP88h8v+ezvL/982GAJl3xAypWYsUT4COlK7HiCfCR0pVY8QT4SOlKrHgCfKSPrvbW32v7GuzjO4/zyILfFLRC8//nXaRm1adPH8NPWm3NmjXOs4BPgTZ8+HBbvHixW3kVag888IC9+uqrLhGmffv2hiQXtHDHZWesYc0iXPzkyZNt//79x9xHmTJlDEvVUpo3vjeLrdvwc/XVV7tDy5Ur54pon3jiiTZnzhybO3fuUV1mtK6uuZmd5XsBcRy/zMxmxfH169ITkMCJZkeqHknAG0v7lnKtzWX2a465Xd2oCIiACIiACIiACIhAohAonSg34nEf29OPffLJJ495EVvMw+/ATmIwgFauXOlisBHYl19+acgmCrWXXnrJ7RyPXcZgHCGhBVlG4Y7zuPqYh1JmEQycLVu2pHlxtWvXdoZOpIbRgAED3I5q9957r3sqX6pUKZfehQyjtFqGy9BmzTLDT05pzZub4ef/mk/aYU5BlN59ihWvAB9WWoamZWissnx0xfaZqHFixY+sWIkVT4CPlK7EiifAR0pXYsUT4COlq8hZpfYZUvaE4tRY4YRC1VhtNWTIEPdyz549k8MQE1p1tWDBAuvQoYMtX7487HH8Fcc+kjKLrrvuOkPBpoEDB7r1d3DdYPDANcPvUEkb6VWRtI8++shefPFFmzZtmtvKbfDgwTZv3rx0u5JZlAKNzKJIJOeO0UTKo/NhJbNIZhGrLB9dsX0mapxY8SMrVmLFE+AjpSux4gnwkdKVWPEE+EjpKnJWGZlF6BWFq19++WU766yz7KKLLrLHHnvMZR2tWLHC6tWr5/7do0cPZxI988wz9uuvv7r4tI5r1aoVf6FZGBnWLAoVZYJrBiMHDUWpsRwMhajLly/vnLXu3btHdBtw4C6++GL74Ycf3HZyMJ7q168vs4ihKbOIoZRmjCZSHp0PK5lFMotYZfnoiu0zUePEih9ZsRIrngAfKV2JFU+Aj5SuxIonwEdKV5GzCmcWIcmlc+fO7gSXXHKJjR8/3pYtW+ZMol27dtn06dOtW7duLpOoevXqzjA644wzLK3jQrWg+avNmsiwZhEuC1lEKNSEgk0FChRw1b+RYoW1enDVsAytUaNGmbqD9evXO+MJVcYzasosSkFHZlHEmtNEyqPzYSWzSGYRqywfXbF9JmqcWPEjK1ZixRPgI6UrseIJ8JHSlVjxBPhI6SpyVuHMIvSclJTkdoTHTmhpNZTV2b59u5UtW/aol8Mdx191bCMpswjLw5A5BMMIrVixYq7yNxy0ESNGuCVqkdYs8r1dmUUyi3w1k1a8JlKeog8rmUUyi1hl+eiK7TNR48SKH1mxEiueAB8pXYkVT4CPlK7EiifAR0pXkbNizCK+98SIpMwi3CpcMhRqwlIxVAVHBhCKXpcsWdLy588fMxoyi2QWBSE2TaQ8RR9WMotkFrHK8tEV22eixokVP7JiJVY8AT5SuhIrngAfKV2JFU+Aj5SuImcls+hYdpRZhIwiLDnDujz8u2PHjtalSxe3NVysm8wimUVBaE4TKU/Rh5XMIplFrLJ8dMX2mahxYsWPrFiJFU+Aj5SuxIonwEdKV2LFE+AjpavIWcksitAsQjFrFLXG8rMSJUrYb7/95oo1LVmyxO2OFssms0hmURB600TKU/RhJbNIZhGrLB9dsX0mapxY8SMrVmLFE+AjpSux4gnwkdKVWPEE+EjpKnJWMosiMIuw41nRokXt5ptvdgWuc+fObUOHDjXsjvbjjz9ajRo1+BEJIFJmkcyiAGRkmkh5ij6sZBbJLGKV5aMrts9EjRMrfmTFSqx4AnykdCVWPAE+UroSK54AHyldRc5KZlEEZhEqdxcpUsQeffRR69+/v+sBBa+vueYaV8OoTp06/IgEECmzSGZRADKSWeQB0edDR2aRzCJWWj66YvtM1Dix4kdWrMSKJ8BHSldixRPgI6UrseIJ8JHSVeSsZBZFYBbhkCZNmtjcuXOtTZs2VrhwYZs4caLVq1fP5s+fb7ly5eJHJIBImUUyiwKQkcwiD4g+Hzoyi2QWsdLy0RXbZ6LGiRU/smIlVjwBPlK6EiueAB8pXYkVT4CPlK4iZyWzKEKzaO3atTZo0CB75513XIFrZBU9/PDDVqtWLX40AoqUWSSzKAgpaSLlKfqwklkks4hVlo+u2D4TNU6s+JEVK7HiCfCR0pVY8QT4SOlKrHgCfKR0FTkrmUURmkWhww4cOGCHDh1y2UVZ1WQWySwKQnuaSHmKPqxkFsksYpXloyu2z0SNEyt+ZMVKrHgCfKR0JVY8AT5SuhIrngAfKV1FzkpmkadZVLlyZYNBlF5bvXq1K34dyyazSGZREHrTRMpT9GEls0hmEassH12xfSZqnFjxIytWYsUT4COlK7HiCfCR0pVY8QT4SOkqclYyizzNorZt27pMovTapEmTYp5lJLNIZhE/BaQfqYmUp+jDSmaRzCJWWT66YvtM1Dix4kdWrMSKJ8BHSldixRPgI6UrseIJ8JHSVeSsZBZ5mkU86thFyiySWRSE2jSR8hR9WMksklnEKstHV2yfiRonVvzIipVY8QT4SOlKrHgCfKR0JVY8AT5SuoqclcwimUW8euIhsnlzM/z8X9PkwA+aWEWHlcwimUWssvQeZEmZdm/kUYmVWHkQ4EM1X4kVT4CPlK7EiifAR0pXkbOSWSSziFdPPETKLIp4lDSR8uh8WMksklnEKstHV2yfiRonVvzIipVY8QT4SOlKrHgCfKR0JVY8AT5SuoqclcwimUW8euIhUmZRxKOkiZRH58NKZpHMIlZZPrpi+0zUOLHiR1asxIonwEdKV2LFE+AjpSux4gnwkdJV5KxkFsks4tUTD5EyiyIeJU2kPDofVjKLZBaxyvr/7J0HlBRV+sU/cg6ShiCCgogBUQGRICggQYwoqAiKSDCiZEEWJSgrBlAUFyQJgouICiIriC4oOQiCsIvCkrPkKPF/7pt/jzNDD32rZpjp7rnvHA4wc6u66vduVVfd+t4rL75i1xmtOrHie1asxIonwCvlK7HiCfBK+UqseAK8Ur7yz0phURiHRfv377e8efNapkyZLtjDmuA6Hh6FRfzZIJFSJ1IenRdWCosUFrHO8uIrdp3RqhMrvmfFSqx4ArxSvhIrngCvlK/EiifAK+Ur/6yYsOjs2bN2/Phxy5UrV5IftHfvXitYsGCC3zPL8VueesoM586dO5d6H3f+J23evNkeeughK1y4sGXOnNluuukm69WrV5KbpLBIYVFK+FUnUp6iF1YKixQWsc7y4it2ndGqEyu+Z8VKrHgCvFK+EiueAK+Ur8SKJ8Ar5Sv/rEKFRaNHj7bBgwdbiRIl7PTp0zZ+/HiXYQTaDz/8YE8//bTLM44ePWpt2rSxe+65x0Itx29x6ivTPCzq37+/nTp1yvr06WMnTpywHDly2LZt26x48eJBaSgsUliUEoeJTqQ8RS+sFBYpLGKd5cVX7DqjVSdWfM+KlVjxBHilfCVWPAFeKV+JFU+AV8pX/lldKCxCOJQlSxY7cOCA5cuXzzp06GDFihWzHj16xH3g7bffbi+//LLVq1fPfvzxR2vbtq2tXr065HL8Fqe+Ms3DIpRxZciQwbJnz25TpkyxTp062bp169zPgjWFRQqLUuIw0YmUp+iFlcIihUWss7z4il1ntOrEiu9ZsRIrngCvlK/EiifAK+UrseIJ8Er5yj+rC4VFGzZscCHQ+vXr3QcMGTLEVqxYYSNHjoz7wMOHD1vOnDndtDrINJBzdOvWLeRy/BanvjLVwqKVK1faxo0bE+xh6dKl7frrr7eTJ0/agAED7O2337avvvrK6tSpkyQJhUUKi1LiMNGJlKfohZXCIoVFrLO8+IpdZ7TqxIrvWbESK54Ar5SvxIonwCvlK7HiCfBK+co/qwuFRcgymjZtamvXrnUfMG7cOJszZ46NGDEiwQfu2rXLnn32Wfv9999t6tSpdvDgQWo5fqtTV5lqYdGoUaNsxowZCfauUaNG9vDDD1uzZs0sa9asLqFDOVegzZ071+bNm3ceke7du8f9LMEBMXu2Gf6kl6YJrn33tE6kPDovrBQWKSxineXFV+w6o1UnVnzPipVY8QR4pXwlVjwBXilfiRVPgFfKV/5ZISxK3GrUqGE1a9Z0VUKoGsJE1RgBNWjQICft2LFj3CKYixlD0R577DFDXoGRU8xy/BanvjLVwqKkdm348OE2bdo0l7wxTZVF8SgpLGIsE1SjEymPzgsrhUUKi1hnefEVu85o1YkV37NiJVY8AV4pX4kVT4BXyldixRPglfKVf1ahJriuWLGiDR061CpUqGANGjRwcy4jSMK8RFWqVLFHHnnE/Y0haPFbsOXq16/Pb2gaKtM8LHriiSdszJgxCRD89ttvduWVVwbForBIYVFKHC86kfIUvbBSWKSwiHWWF1+x64xWnVjxPStWYsUT4JXylVjxBHilfCVWPAFeKV/5ZxUqLEJxS4sWLdwHNG7c2CZMmGCrVq1ygdGhQ4csJibGdu/eHbcBRYoUMQxLC7ZcUvMz81ufOso0D4u87qbCIoVFXj0TTK8TKU/RCyuFRQqLWGd58RW7zmjViRXfs2IlVjwBXilfiRVPgFfKV2LFE+CV8pV/VqHCIqz52LFjbh6i+FPnMJ/odzlm3RdTo7DoYtK92OvWMDTfhHUi5dF5YaWwSGER6ywvvmLXGa06seJ7VqzEiifAK+UrseIJ8Er5Sqx4ArxSvvLPigmL+LVHh1JhUST3o8Ii372nEymPzgsrhUUKi1hnefEVu85o1YkV37NiJVY8AV4pX4kVT4BXyldixRPglfKVf1YKi85np7CI91P4KRUW+e4TnUh5dF5YKSxSWMQ6y4uv2HVGq06s+J4VK7HiCfBK+UqseAK8Ur4SK54Ar5Sv/LNSWKSwiHdPJCgVFvnuJZ1IeXReWCksUljEOsuLr9h1RqtOrPieFSux4gnwSvlKrHgCvFK+EiueAK+Ur/yzUliksIh3TyQoFRb57iWdSHl0XlgpLFJYxDrLi6/YdUarTqz4nhUrseIJ8Er5Sqx4ArxSvhIrngCvlK/8s1JYpLCId08kKBUW+e4lnUh5dF5YKSxSWMQ6y4uv2HVGq06s+J4VK7HiCfBK+UqseAK8Ur4SK54Ar5Sv/LNSWKQN1liJAAAgAElEQVSwiHdPJCgVFvnuJZ1IeXReWCksUljEOsuLr9h1RqtOrPieFSux4gnwSvlKrHgCvFK+EiueAK+Ur/yzUliksIh3TyQoFRb57iWdSHl0XlgpLFJYxDrLi6/YdUarTqz4nhUrseIJ8Er5Sqx4ArxSvhIrngCvlK/8s1JYpLCId08kKBUW+e4lnUh5dF5YKSxSWMQ6y4uv2HVGq06s+J4VK7HiCfBK+UqseAK8Ur4SK54Ar5Sv/LNSWKSwiHdPJCgVFvnuJZ1IeXReWCksUljEOsuLr9h1RqtOrPieFSux4gnwSvlKrHgCvFK+EiueAK+Ur/yzUliksIh3TyQoFRb57iWdSHl0XlgpLFJYxDrLi6/YdUarTqz4nhUrseIJ8Er5Sqx4ArxSvhIrngCvlK/8s1JYpLCId08kKBUW+e4lnUh5dF5YpXRYlCdrHmtcrrGVLVDW/jz9p333v+9sxc4VCTY+g2WwBmUb2I1Fb7QMGTLYyl0rbdpv06x95faWP3v+BNoTp07Yu4ve5Xc+hPK20rcZ/gSaF1YpthERuiKx4jtOrMSKJ8Ar5Sux4gnwSvlKrHgCvFK+EiueAK9M7CuFRQqLePdEglJhke9e0pcOj84Lq5QOi5pXaG7lCpazw38ettxZc7uNRthz4MSBuB24oegNdl/5++zPM39aRstoWTJlsalrp1qNkjUsX/Z8cbrMGTPbyTMn7fWfXud3XmFRirFKvCIvvrpoGxEhKxYrvqPESqx4ArxSvhIrngCvlK/EiifAK+Ur/6wUFiks4t0TCUqFRb57SSdSHp0XVikdFr1868uWMUNG6/djP6tdurbdXvp2m/W/WTZ389y4HWh7U1srkbeEDV823I6fOm4v3PKCbTm4xUYuHxmnaXVDKyudv7R9vuZz+3X3r/zOKyxKMVYKi/yj9HIM+v+U6FhSrPh+FCux4gnwSvlKrHgCvFK+EiueAK9UZVFoVhnOnTt3LrQsfBSJE78EnTx7thn+pJemsMh3T+tLh0fnhVVKh0U9b+1pmTJmsjfmvmH3lr/Xri18ra3Zs8Y+W/1Z3A60uamNXZr3Uvv4l48tZ+ac1vTapnbk5BF7a/5bTlOhSAV74JoHbMOBDfbxio/5HSeUGoZGQEpC4sVX/j8lOpYUK74fxUqseAK8Ur4SK54Ar5SvxIonwCvlK/+sVFl0PjuFRbyfwk+psMh3n+hEyqPzwiqlw6K7y91tlYpXsnN2zjA3Edq6fevsk5WfxO1AmQJlrOX1LRPs0LFTx2zgvIHuZ52rd7bcWXLbm/PfNPw8JZvCIv80vfjK/6dEx5JixfejWIkVT4BXyldixRPglfKVWPEEeKV85Z+VwiKFRbx7IkGpsMh3L+lEyqPzwiqlwyJsJcKgG2JucMPRri1yrf20+Sf7/n/fJ9iBgjkLWs3LatrBEwfdhNM7juywYUuHuYmxW1zfwrYe2mojfh7B7zSpVFhEggoi8+Ir/58SHUuKFd+PYiVWPAFeKV+JFU+AV8pXYsUT4JXylX9WCovCPCzat2+f5cqVy7Jly5ZkL2sYWjw0Cov4s0EipU6kPDovrFI6LGpbqa0VzVXUZqyfYdVLVndvN/vo54+sWO5iVqtULftp009uEmv8Dm9Jy5Ull11V6Co3pxHmNmpydRO7PuZ6m/77dFu8bTG/06RSYREJSmGRf1Bm5uUYTNYHRcHCYsV3oliJFU+AV8pXYsUT4JXylVjxBHhlYl8xYdHZs2ft+PHjLrNIqh0+fNjy5MlDbQi0uXPndm90DscWNsPQNm3aZBUqVLBvv/3WqlevrrCIcYvCIoZSUI2+dHh0XlildFh0ef7LrUXFFpYpQya3wUu3L7Vpv02zhmUb2i2X3mKLti6yWRtmWadqnSxH5hxOs/vobhu6ZKj799NVnraYXDHu//h5SjeFRf6JevGV/0+JjiXFiu9HsRIrngCvlK/EiifAK+UrseIJ8Er5yj+rUGHR6NGjbfDgwVaiRAk7ffq0jR8/3goXLhz3gcuWLbPWrVtbqVKlDNnGyJEjrXLlyta/f3+XcRQvXtxpe/Xq5Ypj+vbtaxkzZnTadu3aWYsWLfiNTyVlWIRFJ0+etGbNmtmGDRvsww8/VFjEdr7CIpbUeTqdSHl0XlildFgU2MrLL7ncth3aZifPnExyw4vnKW5HTx11Q9FSqyks8k/ai6/8f0p0LClWfD+KlVjxBHilfCVWPAFeKV+JFU+AV8pX/lldKCxCOJQlSxY7cOCA5cuXzzp06GDFihWzHj16xH1g/fr1rUuXLoa/J0+ebMOGDbOZM2fao48+ai+99JJdffXVljlzZqdHOFSuXDmn//33392///zzT8uaNSu/A6mgDIuwqFOnTla3bl0bMmSI9e7dW2ER2/EKi1hSCot8k/I2BOZihUXJ2PyLuqjCIv94dTHDsxMrseIJ8Er5Sqx4ArxSvhIrngCvlK/EiifAK70MQ0NRS7169Wz9+vXuA5BbrFixwlUPBVrJkiVt/vz5hr+XL19uDRs2tF27dlnFihVt586dbvhamzZt7PXXX7eBAwe68Alh08KFC61atWq2bdu2uOojfi8urjLVwqKVK1faxo0bE+xN6dKlXZI2ZcoUGzt2rAOqsMhDhyss8gAroVRfOjw6L6wUFv3PrrjiCh5uOlZ68VU6xuR2Xax4B4iVWPEEeKV8JVY8AV4pX4kVT4BXylf+WV2osghZRtOmTW3t2rXuA8aNG2dz5syxESP+eoFO3rx53e9RcYR+qF27tm3ZssWef/55a9++vRUsWNDuvfde69q1q1177bV2yy23WJMmTWzBggX222+/WWD+In4PLr4y1cKiUaNG2YwZMxLsUaNGjVx51u7dux28JUuWuBIsjP/D+L65c+favHnzzqPQvXv3uJ8lOCBmzzbDn/TSFBb57mmdSHl0XlgpLFJYxDrLi6/YdUarTqz4nhUrseIJ8Er5Sqx4ArxSvhIrngCvlK/8s0JYlLjVqFHDatas6aqCcubMaZjgGpNRDxo0yEk7duwYt0itWrXczytVqmRLly51cxJ99dVXdurUqbgXeOH3CIYw9c7Bgwdt2rRpVqZMGRdEIVgKt5ZqYVFSOw4oJ06ccL9+8skn7ZlnnrF77rnHdUawprehxaOisMj38aQTKY/OCyuFRQqLWGd58RW7zmjViRXfs2IlVjwBXilfiRVPgFfKV2LFE+CV8pV/VqEmuMZwsqFDh7qXcjVo0MD69OnjgqTVq1dblSpVrHPnzlaoUCHr1q2bm4sIbznDdDuY8BpD1i699FJ78MEH3RxGf/zxh6s+evvtt91QNlQpYaRVuLU0D4viA7nrrrusZ8+emrOIdYnCIpbUeTqdSHl0XlgpLFJYxDrLi6/YdUarTqz4nhUrseIJ8Er5Sqx4ArxSvhIrngCvlK/8swoVFk2dOjXujWWNGze2CRMm2KpVq1xgdOjQITefUeCt7vnz53fDywoUKODmJ8JoKjTM04yAaN++fXbnnXcahq5t3brVFi1aFHbzFWF7wyosYrpWlUXxKCksYiwTVKMTKY/OCyuFRQqLWGd58RW7zmjViRXfs2IlVjwBXilfiRVPgFfKV2LFE+CV8pV/VqHCIqz52LFjbvgY5iUK1vDWtO3bt7tJrjFcLdCw3JkzZyxPnjwJFsMoK1Qcxdfye3DxlQqLLj7ji/cJCot8s9WJlEfnhZXCIoVFrLO8+IpdZ7TqxIrvWbESK54Ar5SvxIonwCvlK7HiCfBK+co/KyYs4tceHUqFRZHcjwqLfPeeTqQ8Oi+sFBYpLGKd5cVX7DqjVSdWfM+KlVjxBHilfCVWPAFeKV+JFU+AV8pX/lkpLDqfncIi3k/hp1RY5LtPdCLl0XlhpbBIYRHrLC++YtcZrTqx4ntWrMSKJ8Ar5Sux4gnwSvlKrHgCvFK+8s9KYZHCIt49kaBM4bAIrwTMkiWLe70fxk1mz549Eij42kavJ9Jz587Z4cOH3SRkodqRI0csV65c7hWLWbNmtcyZM4daJKx/74WVwiKFRayZvfiKXWe06sSK71mxEiueAK+Ur8SKJ8Ar5Sux4gnwSvnKPyuFRQqLePdEgjKFwiJMttWoUSP77rvv7F//+pc9++yzVqZMGZs5cyZNATPBY4b4xx57zE3oFe7tQidSTFr2/vvv22233WY1atSwpUuXWp06dVxYhCAtqfBn7dq11qRJE1uzZo37c80119iAAQPspZdeonF888039ssvv7i3AoZL8/Klo7BIYRHrWy++YtcZrTqx4ntWrMSKJ8Ar5Sux4gnwSvlKrHgCvFK+8s9KYZHCIt49kaBMobAIYUiVKlWsZcuWhoNk4sSJhtf9tWrViqbw6aefWvPmzW3evHlxrwykF04D4YVOpJs3b7ZSpUrFBT19+/a1V155xYYMGeKCtKRmqx80aJB16tTJXnvtNXvqqafs3XffdSFT7dq16T1s3769DR8+3M6ePRs2s+J7+dJRWKSwiDW7F1+x64xWnVjxPStWYsUT4JXylVjxBHilfCVWPAFeKV/5Z6WwSGER755IUKZAWLRt2zarX79+XCXMsGHD7IMPPrBChQq5cOTBBx+0ggULuiFV+fLls169ehnCk88//9wFKm3btrW6deu6yqTffvvNbrrpJhc2lS1bNihBBFIIQtB+/PFH99n4nJw5c9qHH37oKnr++OMPF7AMHjzYihcv7rYhR44c9ueff9qCBQusTZs2lilTJsO2litXzsaNG+d0WB+2ffbs2a4qKLAfwTbkQidSbBOqrPAawxYtWtioUaNs9+7dduutt9q3337rtjVxQ0UWwjXoUI00evRoe+KJJ+zJJ590lVaoFLr//vvtk08+cRVY+/btszfffNOtr3r16vbyyy+7n7Vr186to3HjxjZt2rSgDFH5dMcdd1jVqlVdv23dutV9FiqY0E/du3e3L7/80m1ngwYNHEcwveuuu9wyqFzatWuX/e1vf7MZM2a4CrJ7773Xhg4d6gIqBH//+Mc/bNOmTW7/W7dubVdeeSV1RCgsUlhEGcXMdDHDkhIrnpRYiZUXArxW5yux4gnwSvlKrHgCvFK+8s9KYZHCIt49kaBMgbDo0KFD9uqrrxqqYp577jnr0qWLq4YpUaKEC1+uuuoqFwLlyZPHXn/9dduyZYsNHDjQBQpffPGFTZo0yVasWOECn5EjR7qgolu3blagQIGgBCtWrGgrV660u+++2/3+66+/dutCwHLZZZe5cAO/w7bgD9aLIXE48SGYQiiDcARDvK677jr77LPPXEiCsAXbiPU0bNjQBSFYF8IYr2ERwpWOHTu6cAchDP7/ww8/uAAF4U+wYWi///67vfDCC277sM3YBgQsffr0sauvvtqaNWvmNuOWW26xyZMn2+233+7+j+ANXE+cOOECuKefftpVZ40dO9ZVegVre/fudWEe2jPPPOPCMYRGCHfmz59vjzzyiL344ouWMWNGe+edd1wf4XMRWoER1otgCA0h0fbt223JkiU2ffp0FzAhaEPwhYAOAR76EydPpiksUljE+AQaXcywpMSKJyVWYuWFAK/V+UqseAK8Ur4SK54Ar5Sv/LNSWHQ+O70NjfdT+ClTICzCTiFQQWXQV1995cIDhDPxw6IdO3a4gAaTOyMQee+991xYg4oiBA+VKlVy1UTMMDSERaigQegUGO7VuXNn69evn6tw+fnnn23dunU2YcIEF/zMnTvXbU/u3LldRQzCD+hRYYQQBsPlUPmCcAaBDP4g4EJlD7YZYRgCksTNyzA0DC1DmIY5i7AdSTVUD2GOoj179rgqKFQmxQ+L/v73v7swDS0QwqFaCRwRzqBSixmGFgiLEJ5hyFpgCCAqlmrWrGn//Oc/DX2GEOmnn35yYWCgwqlr164u7EOVEeZHwhxMqKK68847XUC1ePFiV92F7UT1FoKs66+/3rFnmsIihUWMTxQWsZRidbrw43mJlVjxBHilfCVWPAFeKV+JFU+AV8pX/lkpLFJYxLsnEpSpFBZh+BlCBDQMgUK1CYZIoQIGbeHChe5mhg2LsmXL5taHQAPDxxD+IOTBECkMY0MA1bt3bxdSBMKiIkWKuIAIQ8tQcYRQCZU7CIIQhCBQQliDbbjiiivieg+hR7CAJy3CIlQdIdRCQ1CGYXSoJgpUbu3cudNVNIWasygQFqGiCuEU1tG0aVM3vG3jxo3WoUMHe+CBBxw/zLUUPyzCMEIEcxjahwonvOUNIR2qsDCcD4ERwiNww5vx0DA0DRVQTFNYpLCI8YkCEJaSwiJvpBSseeGlGwqelliJFU+AV8pXYsUT4JXylX9WCosUFvHuiQRlKoVFGFKGoAYN8/lguBOChUWLFrlgAuEGAhkENahKQXiTPXv2oARRWRQsLCpfvrwbZob1YlmEH/Eri0KFRQibEHhgG1Cd89Zbb7nhYhgqF6wxYRGqfbAeTFidEpVFmB8I/A4cOOCG3OHfqDxC9Q4qqTCUDEPewBMBHMKzYO1CYRGqirCu1atXu+AHJz0ERpjnCcPQQoVFeKNb//79XfURqp/w71q1ajkOTFNYpLCI8YnCIpaSwiJvpBQWeeGlGwqelliJFU+AV8pXYsUT4JXylX9WCosUFvHuiQRlCoVFgcqSpIahxQ+LMHfP448/7oZ4oWEiZswbhGFleKMahmphDiOEQsFa/LAIlTTFihVzlUWoZEFVEdaLSatPnz5tR44csQ0bNliFChUsEBZhrh28kQyVRdAhpEI4NWLECBeMYJgaJohGxRH2B/MveQ2L8NnYToQ3CL/Wr1/vwiJsT65cuZJ0BuZNQvCDYWgnT550Q/niD0MLhEVYAd6UBm1gWzH3EIapIezBnENoqPq5UFjUo0cPtw5UCKFSCJVF2L777rvP9QPCM3wm5l7CPEoYFhcIixCuYS6jxJVFGIaI/vjoo4/cR6M6CdVcGN7GNIVFCosYn0CjixmWlFjxpMRKrLwQ4LU6X4kVT4BXyldixRPglfKVf1YKi85npzmLeD+FnzKFwiKvO3bmzBk3rxAqVeK/GQzz3yBQwZu2AmFS/HUj8EH4kFRDcIG3syFkSer19KG2FduGIV7YtmATUQeWD3UixRvbMN8R9i9r1qxxH4tqKgQxiRsqoxDGeGnYX2wrlsP8QIF27NgxN5fQf//7X1+fhfmSUL0UExPjZXMSaLENmFsKfYHALv7QvgutVGGRwiLWdKGOQXY96UEnVnwvi5VY8QR4pXwlVjwBXilfiRVPgFfKV/5ZKSw6n53CIt5P4adMo7AoFAhMhoygI3FDgIPXxIdD83siRRXW/v37z9sFTPJdtmzZFN211PysC224F1YKixQWsQeBF1+x64xWnVjxPStWYsUT4JXylVjxBHilfCVWPAFeKV/5Z6WwSGER755IUIZpWBQJ6HQi5XvJCyuFRQqLWGd58RW7zmjViRXfs2IlVjwBXilfiRVPgFfKV2LFE+CV8pV/VgqLFBbx7okEpcIi372kEymPzgsrhUUKi1hnefEVu85o1YkV37NiJVY8AV4pX4kVT4BXyldixRPglfKVf1YKixQW8e6JBKXCIt+9pBMpj84LK4VFCotYZ3nxFbvOaNWJFd+zYiVWPAFeKV+JFU+AV8pXYsUT4JXylX9WCovCOCw6evSoYVJhvMXqQi1xJyY4IGbPNsOf9NIUFvnuaZ1IeXReWCksUljEOsuLr9h1RqtOrPieFSux4gnwSvlKrHgCvFK+EiueAK+Ur/yzYsIi5BXHjx+/4Buy8TKkYJlG4M3afl/kxO9ZyinTfILrEydOuFefHzx40DJmzGg33nije914Uk1hUTwyYRAWzZ8/326++WYbPXq0tW3bNuWceZHXlBYn0vTASmGRwiL20E2LY5DdtnDTiRXfI2IlVjwBXilfiRVPgFfKV2LFE+CV8pV/VqHCItzvDh482L0t+vTp0zZ+/HgrXLhw3AcuW7bMWrdubaVKlbJNmzbZyJEjrXLlyrZ7925buXKlNWnSxL1RHG8Ix9ursWzDhg3d8ldddZX169eP3/hUUqZ5WDRmzBhbvHixDR061PAq8S+//NLuvffeBK8Sj89CYVF4hUUDBw60Tp062Xvvvef+jpSWFifS9MBKYZHCIvYckBbHILtt4aYTK75HxEqseAK8Ur4SK54Ar5SvxIonwCvlK/+sLhQWIRzKkiWLHThwwPLly2cdOnSwYsWKWY8ePeI+sH79+talSxfD35MnT7Zhw4YZ3m6Nf8+bN88GDRpku3btcmER3hzeu3dvmzBhgmXOnJnf6FRWpnlYBEhLly41JHGXXnqp9e/f3xo1apQkBoVF4RMW/frrr/bFF19Y3bp17YcffrCCBQvamTNn7IEHHnDB35QpU+zkyZN2zTXXWJ06deztt992JXnHjh1zBxmqymrWrGnly5d3lUk4UFBdhkQWISIOyty5c1vz5s1T/LBI7RNpemGlsEhhEXuwpvYxyG5XOOrEiu8VsRIrngCvlK/EiifAK+UrseIJ8Er5yj+rC4VFGzZssHr16tn69evdBwwZMsRWrFjhqocCrWTJkoaRJPh7+fLlrmoI4VCgYfhZICyaNm2au8fFkLUqVaoYPvv222/nNz6VlKkWFqH0auPGjQl2q3Tp0i5h+/HHH2369OkOateuXW3z5s0GmHPnznUpXOLWvXv3uB9pzqLbgrNIJQMFqmUGDBhgL7/8susvzD+1c+dOFxBddtllrlyvTZs2rq979epl48aNc6V2OJAQKLVo0cKV5mXKlMmFTo8//riNHTvWbr31VjcetEKFCimeuKbFiTQ9sFJYpLCIPfWkxTHIblu46cSK7xGxEiueAK+Ur8SKJ8Ar5Sux4gnwSvnKPysENolbjRo1XHED7lWbNm1qa9eudRLcz86ZM8dGjBgRt0jevHnd71FxhH6oXbu2bdmyJWhY9P3339vPP/9szz33nE2cONFwL41qo3CbzyjVwqJRo0bZjBkzEvBHBRHAZ8uWzQFCi4mJcYFD2bJlg/Z0mlQWVa1qVr++2aRJZv/9b+x2NW1qVq6c2alTZmvWmH3zjdm5cwm3GctVq2aWK5cZjPLll2aHD5s99ZRZvnx/aXfuNPv4Y97ZAWUYzFmUeGjVokWLbM+ePS7wwwGFsZjvvPOOtW/f3pXiYagaxndinqP8+fPbpEmTrGrVqi6FRYUSwqOWLVvaoUOHbN++fS4wbNeunRUoUMA7nwsskRYn0vTASmGRwiL2QE2LY5DdtnDTiRXfI2IlVjwBXilfiRVPgFfKV2LFE+CV8pV/VheqLMKk1jlz5nQv5EKggyIItI4dO8Z9YK1atdzPK1Wq5EZO9e3b16ZOnRo0LMLoGxRK4A9G5mCEDYIljLQKp5ZqYVFSO41U7qOPPrJZs2bZ1q1brVq1arZ9+/bwmLOoRAmzevXMSpc2y5DB7IsvzFauNLvlFjNMRnX2bOwfjDOcPt1s8eK/djNHDrNu3WIDJARECId+/dXs88/NeveO/fmff8bqd+xAPOndF2EQFiEIQunckiVLXBAUCIvKlCnjxmhmzZrVmR7BYGBeo8Rh0R133OEOJKSxCIgQJGFYIoLDvXv32tNPP+0CxZRsaXEiTQ+sFBYpLGKP07Q4BtltCzedWPE9IlZixRPglfKVWPEEeKV8JVY8AV4pX/lnFWqC64oVK7p5ljHqpUGDBu6lXKg6Wr16tbsf7ty5sxUqVMi6devm5i7CdCrxJ62OPwztlVdecQUWWB+KJlAsERjixu/BxVemeViEmcAxQRSGoSGtA/SHH344yT1P1cqiihXNMH9S1qxmGTOaTZ5stmqV2eOPm11+udnQoWZnzpg9/7zZnj1mH3zw13Zfe21s9dHq1X8FREeOYICjWc+eZosWmf30kxl+5reFQViEdBV/gk3MhZ+fOnWKCnrgA8xXhPVgGfy9f/9+Nw/SxWhpcSJND6wUFiksYo/XtDgG2W0LN51Y8T0iVmLFE+CV8pVY8QR4pXwlVjwBXilf+WcVKixCcQOmT0Fr3Lixm5x61apVLjDCqBiEPdWrV3e/xwiaBQsWJBgdg7AIb0bDyJsdO3a4OZBwz4s/yEDuuusufuNTSZnmYVFgPxEMoLIEpVgXaqkaFgU25KGHzK6++q+wKGdOM1S67N8fGyZhuBnGL3766V+bjmqjzp3Nsmc3O3kyVv/992abNpm1bv2X7vjx2OFpv/3mvcvDICzyvtHhsYROpHw/eGGlsEhhEessL75i1xmtOrHie1asxIonwCvlK7HiCfBK+UqseAK8Ur7yzypUWIQ140VNBw8edPMSBWt4QRNGSWFuXmb+IczzW7RoUX6jU1kZNmERu98pHhbFxJg1a3b+x+/bZzZ+fOzPE4dFATWWu+Yas9OnzYYNi60uCjQMYWvTJvZ/CIQQMCEoQjXR/febYWb0AwfMbrrJbO/e2Iojry0MwiKUzWHYGN5m1rZtW697kGb6tDiRpgdWCosUFrEHdVocg+y2hZtOrPgeESux4gnwSvlKrHgCvFK+EiueAK+Ur/yzYsIifu3RoVRYdNllZo89dn5vHjz4V4CTOCzC/EXPPWeGIVIIfEaPNoM+fnvgAbMKFcxmz479g6FnWbKYvfee2SWXmG3dGltx9PLLsXMe9enj3VFhEBYlnrTZ+06kzRJpcSJND6wUFiksYo/otDgG2W0LN51Y8T0iVmLFE+CV8pVY8QR4pXwlVjwBXilf+WelsOh8dgqLGD8lDovwZjSMR8R8RXg7GiarRnXQL7+YtWpltnFjbBh0551mf/xhtmKFWd26ZidOmP3wAwY5xv4eupo1Y6uMPvyQ2ZKEmjQOi3799Vf74osv3FvM8Mp7zC+E2dwfeOABO3funHuzGWZ6v+aaa6xOnTr29ttvW548eVz5Xr58+ezEiRNujGf58uVdZRLGa2LeotatW9uYMWMMZSykYhYAACAASURBVHyYGKx58+be2YRYIrVPpOmFlcIihUXswZraxyC7XeGoEyu+V8RKrHgCvFK+EiueAK+Ur8SKJ8Ar5Sv/rBQWKSzi3RNfGRhuFpjg+tlnzQoXTriuY8fMPvnErF272OFomPz6qafMihSJfZMa3nw2bVrsBNnPPBP7czQETlhuwwbv25bGYRE2OFAtM2DAAHv55Zdt3rx5dvToUcP4SwREl112mQ0ePNjatGnjXiXYq1cvwxvwrrrqKjeWE4ESJgpbuXKlm68KodPjjz9uY8eOtVtvvdVy5crlZpwPNoG2d2B/LZEWJ9L0wEphkcIi9rhMi2OQ3bZw04kV3yNiJVY8AV4pX4kVT4BXyldixRPglfKVf1YKixQW8e5JKSUmuM6XL7Z6KH7DHEYInLZsMTt71t+nhVFY9N5771mnTp1s0aJF7jWAmzdvtqZNm7rZ3vHK+Pbt29uwYcOcZvz48W6eI8wSP2nSJKtatap7ZSAqlBAe4dWBmFF+3759NnfuXGvXrl2CmeT9wUq4VFqcSBMPQ4tGVgqLFBaxx2daHIPstoWbTqz4HhErseIJ8Er5Sqx4ArxSvhIrngCvlK/8s1JYpLCId08kKMMgLEIQVKVKFVuyZEmCsKhMmTI2c+ZMy5o1q1166aXWqFEjCwRKicOiO+64w/AqQrwNDwERgqRly5ZZTEyM7d27155++mnLhrfJpWBLixNpemClsEhhEXuYpsUxyG5buOnEiu8RsRIrngCvlK/EiifAK+UrseIJ8Er5yj8rhUUKi3j3RIIyDMKis2fPGv4EGyaGn586dYoKev788083XxHWg2Xw9/79+908SBejpcWJND2wUliksIg9XtPiGGS3Ldx0YsX3iFiJFU+AV8pXYsUT4JXylVjxBHilfOWflcIihUW8eyJBGQZhUSRgCraNOpHyPeeFlcIihUWss7z4il1ntOrEiu9ZsRIrngCvlK/EiifAK+UrseIJ8Er5yj8rhUUKi3j3RIJSYZHvXtKJlEfnhZXCIoVFrLO8+IpdZ7TqxIrvWbESK54Ar5SvxIonwCvlK7HiCfBK+co/K4VFCot490SCUmGR717SiZRH54WVwiKFRayzvPiKXWe06sSK71mxEiueAK+Ur8SKJ8Ar5Sux4gnwSvnKPyuFRQqLePdEglJhke9e0omUR+eFlcIihUWss7z4il1ntOrEiu9ZsRIrngCvlK/EiifAK+UrseIJ8Er5yj8rhUUKi3j3RIIyGWHR4cOHI2EPL9o2bty40UqXLn3R1h/pK86TJ0/cLnj50lFYpLCI9b4XX7HrjFadWPE9K1ZixRPglfKVWPEEeKV8JVY8AV4pX/lnpbBIYRHvnkhQJiMs+tsrf7P+fftHwl5qG1OZwKu9etkr/fopLCK431b6NsOfQNMXNAHt/yViJVY8AV4pX4kVT4BXyldixRPglfKVWPEEeKV85Z+VwiKFRbx7IkGZjLCoVcdW9unwTyNhL1NkGzNnyGyZMmaKWxdeY58xY0Zu3WfOmJ0+zWmjQNX5kUfslTFjfAUgqixSZRF7COhihiVlJlZixRPglfKVWPEEeKV8JVY8AV4pX4kVT4BXJvaVwiKFRbx7IkGZjLBIN/UebupnzzbDn/TS5Cu6p1VZRKM6T6gLP56dWIkVT4BXyldixRPglfKVWPEEeKV8JVY8AV6psCg0qwznzp07F1oWPorEiV+CTtZNvV1xxRVUZyksUliUpFEUFlHHEEQKi2hUCov8o1JlkQd2uqHgYYmVWPEEeKV8JVY8AV4pX4kVT4BXKiwKzUphUWhG4avQTT3dN8m6qU+NELJqVbP69c0mTTL773/P369bbjGrXdssUyazDRvM/vUvswMHzCpVMrvjDrMsWcz27TMbOdLsxAmaS1ChfEXzS5av6E+JTqEu/Ph+FSux4gnwSvlKrHgCvFK+EiueAK+Ur8SKJ8ArFRaFZhU2YRHezpU7d27LkCHDBbdalUXx8OimPrTD/1+RrJv6ixkWlShhVq+eGd7MBu9/8YXZypUJ9ytfPrOOHWN/dvy4WY4cmMTE7LPPzLp3j13u5EmzrFnNNm40izffEA0ovlC+orEly1f0p0SnUBd+fL+KlVjxBHilfCVWPAFeKV+JFU+AV8pXYsUT4JV+wiLMe3v8+HHLlStXkh+EXCP+m6UhTGq5/fv32yWXXJJgXcxn8HuZPGWah0UA1LZtWwd0z5499uCDD1qrVq2S3CuFRQqL/Fg+WTf1FzMsqljRrFGj2KAHE25Pnmy2alXCXURVUcOGZvPmmX33nVmvXrEB0fffx1YjrV5t9uWXZj17mmFUabw3mflhZQqLaGzJ8hX9KdEp1IUf369iJVY8AV4pX4kVT4BXyldixRPglfKVWPEEeKXXsGj06NE2ePBgK1GihJ0+fdrGjx9vhQsXjvvAZcuWWevWra1UqVK2adMmGzlypFWuXNmCLbd371579NFHrUyZMnbs2DFr0aKFPfzwwzZw4EBbvHixZcqUyYVSY8aMsQIFCvA7lcLKNA+LAGD69On22Wef2fz58+2JJ56wtWvXKixiOlo39Qwlp0nWTf3FDIsCe/DQQ2ZXXx08LEKQhPT68GGz4sXNWrc2O3rUDMfJTTeZzZplNndubJURqo5efZXmElQoX9H8kuUr+lOiU6gLP75fxUqseAK8Ur4SK54Ar5SvxIonwCvlK7HiCfBKL2ERwqEsWbLYgQMHLF++fNahQwcrVqyY9ejRI+4D69evb126dDH8PXnyZBs2bJjLOYItly1bNrf8I488YrNmzbLOnTvb1KlTrXTp0i4kyp49uz322GNWoUIF69q1K79TKaxM87Box44ddsMNN1idOnVs7ty59uKLLzpYSTVVFsUjo5t6+nBI1k19csOimBizZs3O31bMMTR+fOzPLxQWBZZEhVGDBrH/+/prM0xmft11ZtOnmy1ebNali1nu3GZ9+sRWGPlt8hVNLlm+oj8lOoW68OP7VazEiifAK+UrseIJ8Er5Sqx4ArxSvhIrngCv9BIWbdiwwerVq2fr1693HzBkyBBbsWKFqx4KtJIlS7riF/y9fPlya9iwoS1cuPCCyw0dOtSFSi1btrSnnnrKihcvbrt27bIcOXK45VF59MEHH/A7lcLKVAuLVq5caRsxn0q8huRs586dDk67du1s0aJFljVrVps2bZpTITyah6E3iVp3VFD8f0vQycm9qU9huBd9dbqppxEn66Y+ub667DKzxx47f1sPHsSZJvbnocKie+81u/FGs1OnzCZONFu3LnZi6xo1zBYsMJsxw+zll80yZ44Ni5LT5CuaXrJ8RX9KdAp14cf3q1iJFU+AV8pXYsUT4JXylVjxBHilfCVWPAFeGSwsSrx0jRo1rGbNmoYso2nTpnEjoMaNG2dz5syxESNGxC2SN29e93tUDGHdtWvXtm+++eaCyw0aNMhVIeXMmdNmzpxpbdq0cUFT2bJl3cirnj172muvvcbvVAorUy0sGjVqlM3ADW281qhRIwe5fPnyhgAIk0EBMtK0IkWKBN1VVRbFw6KbevpwSNZNfXLDImYrE4dFGJuKubsQsC5caNauXexaMPQMgREagtT27WMnt/7tt9gqo/37zd59l/nEpDXyFc0vWb6iPyU6hbrw4/tVrMSKJ8Ar5Sux4gnwSvlKrHgCvFK+EiueAK/0UlmEoWEIdDD5NF7IhZAHrWPgJURmVqtWLffzSpUq2dKlS61v3742ceLEoMtdfvnldvPNN7tKIgxtwyTX27Ztc/9HNdKWLVvc3xiBhcKatGqpFhYltYNvvfWWS95QXoWJoKpWrepAZUaFRJCmsCgeFN3U08dNsm7qUyMswjC1a675a84izE2EgGjPntg3n1Wtev6+Ym6iRx81u/LK2N+dPWs2bpzZhg00l6BC+Yrmlyxf0Z8SnUJd+PH9KlZixRPglfKVWPEEeKV8JVY8AV4pX4kVT4BXegmLsNaKFSsaho1hHqEGDRpYnz59XNXR6tWrrUqVKm4qnUKFClm3bt3c3EV403u/fv2CLvfDDz8Y5i165ZVXbM2aNVa3bl03CqtcuXJuKBvCI4ROU6ZMcYU1adXSPCxCFdHdd99tmLsIrXfv3u7taEk1hUUKi/wcLMm6qU+NsMjPTgWWweTXBQuabdmSvLmKAutTWET3RrJ8RX9KdAp14cf3q1iJFU+AV8pXYsUT4JXylVjxBHilfCVWPAFe6TUswgTUeGsZWuPGjW3ChAm2atUqFxgdOnTIzWdUvXp19/v8+fPbggUL3JvMgi33n//8x03D8/vvv7tpeF5//XVXQYRw6fPPP3dT9Tz//PPWC2/BTsOW5mFRYN+3b9/uXj2H2cIv1BQWKSzyc7wk66Y+3MMiP0AutIzCIpposnxFf0p0CnXhx/erWIkVT4BXyldixRPglfKVWPEEeKV8JVY8AV7pNSzCmvGa+4MHD7p5iYI1vDUNuQYmucZwtUBLajkUzMTExFjGjBnjtJiaB+tBdVFat7AJi1gQCosUFrFeia9L1k29wiK7Am9eI9rsjbMNf9JLS5av0gukJPZTF368AcRKrHgCvFK+EiueAK+Ur8SKJ8Ar5Sux4gnwSj9hEb/26FAqLIrkflQFCN17ybmp79OqlW365Rf6syJeWLSoWby0HOl2njx5qN3acXiH7Tyyk9JGg6hi+Yo2ZtCYuF3RxQzfq2IlVjwBXilfiRVPgFfKV2LFE+CV8pVY8QR4pXzln1XiohR+TdGrVFgUyX2rsIjuvWSFRU89Za8OG0Z/loTph0D7Lu3tH2/+Q2GRjy7XxQwPTazEiifAK+UrseIJ8Er5Sqx4ArxSvhIrngCvVGVRaFYKi0IzCl+FwiK6b5ITFo0ePZr+nGgU7tmzx80nphacwBNPPKGwyIc5dOHHQxMrseIJ8Er5Sqx4ArxSvhIrngCvlK/EiifAKxUWhWalsCg0o/BVKCyi+yY5YRH9IVEq1Bc037FiJVY8AV4pX4kVT4BXyldixRPglfKVWPEEeKV8JVY8AV6psCg0K4VFoRmFr0JhEd03CotoVOcJ9QXNsxMrseIJ8Er5Sqx4ArxSvhIrngCvlK/EiifAK+UrseIJ8EqFRaFZKSwKzSh8FQqL6L5RWESjUljkH5XpYoaHJ1ZixRPglfKVWPEEeKV8JVY8AV4pX4kVT4BXylf+WWmC6/PZKSzi/RR+SoVFdJ8oLKJRKSzyj0phkQd2upjhYYmVWPEEeKV8JVY8AV4pX4kVT4BXyldixRPglaosCs1KYVFoRuGrUFhE943CIhqVwiL/qBQWeWCnCz8elliJFU+AV8pXYsUT4JXylVjxBHilfCVWPAFeqbAoNCuFRaEZha9CYRHdNwqLaFQKi/yjUljkgZ0u/HhYYiVWPAFeKV+JFU+AV8pXYsUT4JXylVjxBHilwqLQrBQWhWYUvgqFRXTfKCyiUSks8o9KYZEHdrrw42GJlVjxBHilfCVWPAFeKV+JFU+AV8pXYsUT4JUKi0KzUlgUmlH4KhQW0X2jsIhGpbDIPyqFRR7Y6cKPhyVWYsUT4JXylVjxBHilfCVWPAFeKV+JFU+AVyosCs1KYVFoRuGrUFhE943CIhqVwiL/qBQWeWCnCz8elliJFU+AV8pXYsUT4JXylVjxBHilfCVWPAFeqbAoNCuFRaEZha9CYRHdNwqLaFQKi/yjUljkgZ0u/HhYYiVWPAFeKV+JFU+AV8pXYsUT4JXylVjxBHilwqLQrBQWhWYUvgqFRXTfKCyiUSks8o9KYZEHdrrw42GJlVjxBHilfCVWPAFeKV+JFU+AV8pXYsUT4JUKi0KzUlgUmlH4KhQW0X2jsIhGpbDIPyqFRR7Y6cKPhyVWYsUT4JXylVjxBHilfCVWPAFeKV+JFU+AVyosCs0qTcKiI0eOWK5cuSxDhgxxW3j06FHLkSOHZcyY8YJb/cYbb1j37t3jNAk6efZsM/xJL01hEd3TCotoVAqL/KNSWOSBnS78eFhiJVY8AV4pX4kVT4BXyldixRPglfKVWPEEeKWfsOjs2bN2/Phxl2Uk1Q4fPmx58uRJ8OuklguWgSSlxXpz586dIEPh99afMlXDot27d9vKlSutSZMmtm7dOitSpIj98ccf1rx5c8ucObNt2rTJunbtaq1atUpybxQWxUMTRmHRdUWus8blGifotwkrJ9iWQ1vO68uSeUtay4ot7cy5M/bG3DesfeX2lj97/gS6E6dO2LuL3vXn6iBLKSzyj1Jf0Dw7sRIrngCvlK/EiifAK+UrseIJ8Er5Sqx4ArxSvhIrngCv9BoWjR492gYPHmwlSpSw06dP2/jx461w4cJxH7hs2TJr3bq1lSpVyuUaI0eOtMqVK1uw5VA0EywDGThwoC1evNgyZcrkQqkxY8a4cKht27YugNqzZ489+OCDF8xLeAKhlakaFk2ePNnmzZtngwYNsl27drmw6O9//7shJXvttdds586dVqxYMUPCljNnzqBbr7AoPMMiBEVVilexY6eOxW3gp6s+DRoWda7W2fJky2Pn7Jz1md3Hnr/5ecuXPV/ccpkzZraTZ07a6z+9HtrBpEJhEQkqiExf0Dw7sRIrngCvlK/EiifAK+UrseIJ8Er5Sqx4ArxSvhIrngCv9BIWIRzKkiWLHThwwPLly2cdOnRwuUWPHj3iPrB+/frWpUsXw9/IPYYNG2bTp08PuhwCoMQZyH/+8x+7+uqrXUiUPXt2e+yxx6xChQoukMJ6PvvsM5s/f7498cQTtnbtWn5Hk6FM1bAosJ2AEwiL2rRpY/Xq1bOHH37Yzp0754ahrV+/3q644gqFRaE6Nowqix6r+JiVyl/K3pz3pp0+e9r9CdZuLXWr1b28rp06c8oyZ8rswqL4rdUNrax0/tL2+ZrP7dfdv4YiQP9eYRGN6jyhvqB5dmIlVjwBXilfiRVPgFfKV2LFE+CV8pVY8QR4pXwlVjwBXuklLNqwYYPLLJBToA0ZMsRWrFjhqocCrWTJki7Mwd/Lly+3hg0b2sKFC4MuhzwkcQayatUqq169ustJMD0Pli9Tpoz16tXLbrjhBqtTp47NnTvXXnzxRevcuTO/o8lQpnhYdOLECZs5c+Z5m9SgQQPLli2b+3n8sKhZs2aGPyinQouJibFFixZZ6dKlg+6WKoviYQmjsAjVQQVzFnQbh9Bvw4ENNvaXsQn6MHvm7Na1Rldbv2+9xeSOsbzZ8iYIiyoUqWAPXPOAW/bjFR8nw9bnL6qwyD9OfUHz7MRKrHgCvFK+EiueAK+Ur8SKJ8Ar5Sux4gnwSvlKrHgCvNJLWISpdJo2bRpX0TNu3DibM2eOjRgxIu4D8+bN636PiiOsu3bt2vbNN98EXe7QoUNBM5D+/fu7oKls2bKukqhnz55uPS1btrR27dq5nCRr1qw2bdo0fkeToUzxsAilWe3btz9vk4YPH+5KthKHRX379jWARUJ25swZu+SSS1x5FyqMkJxh2Fripgmu/59IGIVFqAgqlLOQLd2+1G4ucbPlzJLTxqwYYxsPbIzrvpbXt7TSl5S2gfMG2jNVnjkvLOpcvbPlzpLb3pz/ZoLhbMnwd9yiCov8U9QXNM9OrMSKJ8Ar5Sux4gnwSvlKrHgCvFK+EiueAK+Ur8SKJ8Arg4VFiZeuUaOG1axZ0w0NwzQ5mHwahS+YVgetY8eOcYvUqlXL/bxSpUq2dOlSQ84xceLEoMthCFpSGQiqkbZs2eKqklBR9MMPP1j58uXdS74CywVGafF760+Z4mERsxnxK4umTp1q77//vqtGmjRpkr3zzju2YMGCJFejyqJ4aMIoLLr8kstdwLPryC4LBDPLdyy3KWunxG3wSzVfMlQXYa6iDBb7Jrzjp47bG/PesLIFylqL61vY1kNbbcTPfyW0jJ8YjcIihlJwjb6geXZiJVY8AV4pX4kVT4BXyldixRPglfKVWPEEeKV8JVY8AV7ppbIIa61YsaINHTrUzSOEUVN9+vRxQdLq1autSpUqbmhYoUKFrFu3bm7uIry5rF+/fkGXw2isxBkIKpUw7AxD2VBAg9BpypQprooI2/rBBx+4ibOrVq1q27Ztcy8Iu9gtzcIivBkNkzUhpbvzzjttzZo17t/fffedA5BUU1gUnmFR95rdLXum7DZz/UyrXrK6m8B6+LLhVjxPcatVqpb9tOknl8Ji6Bkaqo+yZspqM9bNsAVbF1iTq5vY9THX2/Tfp9vibYtT3PcKi/wj1Rc0z06sxIonwCvlK7HiCfBK+UqseAK8Ur4SK54Ar5SvxIonwCu9hkUocmnRooX7gMaNG9uECRMM8wwhMMKwMsxnhDmH0PLnz+8KYAoUKGDBlkNYFCwDQbj0+eefuxd/Pf/8826+IlQR3X333bZjxw637t69e7u3o6VGS5OwKNiOodSqaNGibrbwCzWFReEZFt1Q9Aa7q9xdhjeZoWH4GYahNSzb0G659BZbtHWR/Wvdv+I2vmO1jgmGoT1d5WmLyRVjQ5cMtd1Hd6e49xUW+UeqL2ienViJFU+AV8pXYsUT4JXylVjxBHilfCVWPAFeKV+JFU+AV3oNi7DmY8eO2cGDB928RMEa3pq2fft2N8k1CiUCLanlgmUgGGqG9aC6KH7DelFsEyov4QmEVoZNWBR6U2MVCovikQqjYWiBrSqZt6Qd/POgHfrzENulqaJTWOQfs76geXZiJVY8AV4pX4kVT4BXyldixRPglfKVWPEEeKV8JVY8AV7pJyzi1x4dSoVFkdyPYRgWhStOhUX+e0Zf0Dw7sRIrngCvlK/EiifAK+UrseIJ8Er5Sqx4ArxSvhIrngCvVFgUmpXCotCMwlehsIjuG4VFNKrzhPqC5tmJlVjxBHilfCVWPAFeKV+JFU+AV8pXYsUT4JXylVjxBHilwqLQrBQWhWYUvgqFRXTfKCyiUSks8o/KvangiiuuSMYa0s+iYsX3tViJFU+AV8pXYsUT4JXylVjxBHilfCVWPAFeqbAoNCuFRaEZha9CYRHdNwqLaFQKi/yjUljkgZ0u/HhYYiVWPAFeKV+JFU+AV8pXYsUT4JXylVjxBHilwqLQrBQWhWYUvgqFRXTfKCyiUSks8o9KYZEHdrrw42GJlVjxBHilfCVWPAFeKV+JFU+AV8pXYsUT4JUKi0KzUlgUmlH4KhQW0X2jsIhGpbDIPyqFRR7Y6cKPhyVWYsUT4JXylVjxBHilfCVWPAFeKV+JFU+AVyosCs1KYVFoRuGrUFhE943CIhqVwiL/qBQWeWCnCz8elliJFU+AV8pXYsUT4JXylVjxBHilfCVWPAFeqbAoNCuFRaEZha9CYRHdNwqLaFQKi/yjUljkgZ0u/HhYYiVWPAFeKV+JFU+AV8pXYsUT4JXylVjxBHilwqLQrBQWhWYUvgqFRXTfKCyiUSks8o9KYZEHdrrw42GJlVjxBHilfCVWPAFeKV+JFU+AV8pXYsUT4JUKi0KzUlgUmlH4KhQW0X2jsIhGpbDIPyqFRR7Y6cKPhyVWYsUT4JXylVjxBHilfCVWPAFeKV+JFU+AVyosCs1KYVFoRuGrUFhE943CIhqVwiL/qBQWeWCnCz8elliJFU+AV8pXYsUT4JXylVjxBHilfCVWPAFeqbAoNCuFRaEZha9CYRHdNwqLaFQKi/yjUljkgZ0u/HhYYiVWPAFeKV+JFU+AV8pXYsUT4JXylVjxBHilwqLQrBQWhWYUvgqFRXTfKCyiUSks8o9KYZEHdrrw42GJlVjxBHilfCVWPAFeKV+JFU+AV8pXYsUT4JUKi0KzUlgUmlH4KhQW0X2jsIhGpbDIPyqFRR7Y6cKPhyVWYsUT4JXylVjxBHilfCVWPAFeKV+JFU+AVyosCs1KYVFoRuGrUFhE943CIhqVwiL/qBQWeWCnCz8elliJFU+AV8pXYsUT4JXylVjxBHilfCVWPAFeqbAoNCuFRaEZha9CYRHdNwqLaFQKi/yjUljkgZ0u/HhYYiVWPAFeKV+JFU+AV8pXYsUT4JXylVjxBHilwqLQrNIkLDpy5IjlypXLMmTIELeF+/fvt7x581qmTJkuuNVvvPGGde/ePU6ToJNnzzbDn/TSFBbRPa2wiEalsMg/KoVFHtjpwo+HJVZixRPglfKVWPEEeKV8JVY8AV4pX4kVT4BX+gmLzp49a8ePH3dZRlLt8OHDlidPngS/Tmq5o0ePWo4cOSxjxoxx+tOnTxvykvz585/3Efv27XOfnS1bNn5Hk6FM1bBo9+7dtnLlSmvSpImtW7fOihQpYps3b7aHHnrIChcubJkzZ7abbrrJevXqleQuKSyKh0ZhEW19hUU0KoVF/lEpLPLAThd+PCyxEiueAK+Ur8SKJ8Ar5Sux4gnwSvlKrHgCvNJrWDR69GgbPHiwlShRwhDojB8/3mUYgbZs2TJr3bq1lSpVyjZt2mQjR460ypUrW7DlUDTTvHlzl39A27VrV2vVqpW98847NmzYMKtataodOnTIkH1cddVV7iOgq1Chgn377bdWvXp1fkeToUzVsGjy5Mk2b948GzRokO3atcuFRf3797dTp05Znz597MSJEy5Z27ZtmxUvXjzobiksUljkx+8Ki/xQi11GX9A8O7ESK54Ar5SvxIonwCvlK7HiCfBK+UqseAK8Ur4SK54Ar/QSFiEcypIlix04cMDy5ctnHTp0sGLFilmPHj3iPrB+/frWpUsXw9/IPRD6TJ8+PehyCItQgfTaa6/Zzp073bow0uqSSy5xVUWoHkJOgsxkyJAhdvLkSWvWrJlt2LDBPvzww+gMiwIkAScQFqGMC//Pnj27TZkyxTp16uSqjuIPUYvf5QqLFBbxp4C/lAqL/FBTWOSVmi5meGJiJVY8AV4pX4kVT4BXyldixRPglfKVWPEEeKV85Z9V4pwh/poQ0tSrV8/Wr1/vfowAZ8WKFa56KNBKYRqaQwAAIABJREFUlixp8+fPN/y9fPlya9iwoS1cuDDocsg6sL6HH37Yzp0754ahYd0Ii/Dn2LFjVrduXXvhhRecBhkJ/o/P7d27d+SGRagOmjlz5nm91KBBg7ixdfHDIgiRlA0YMMDefvtt++qrr6xOnTpu+blz57pKpMRNcxb9PxENQ6PPBgqLaFTnCfWlw7MTK7HiCfBK+UqseAK8Ur4SK54Ar5SvxIonwCvlK7HiCfDKYJVFiZeuUaOG1axZ002l07RpU1u7dq2TjBs3zubMmWMjRoyIWwTzL+P3qBLCumvXrm3ffPNN0OUwxAyVQg8++KBbPiYmxhYtWmSlS5e2n3/+2Z544gm77rrrXBiFdaCoZuzYsS6AiuiwCKVZ7du3P6+Xhg8f7kq20OKHRQiXACpr1qwuKQPcCzVVFsWjo7CIPhsoLKJRKSzyj0pD9jyw04UfD0usxIonwCvlK7HiCfBK+UqseAK8Ur4SK54Ar/QyDA2joXLmzGmYqBpZBqbVQevYsWPcB9aqVcv9vFKlSrZ06VLr27evTZw4MehyGIKGcOnFF1+0M2fOuGoi5Cj//ve/3VxG7733npvXGa1atWqGuZ8LFixoS5YssXLlyrn5kjAf0sVuqTpnUWBn4odFCJGmTZtmU6dOpfZVYZHCIsooiUQKi/xQi11GX9A8O7ESK54Ar5SvxIonwCvlK7HiCfBK+UqseAK8Ur4SK54Ar/QSFmGtFStWtKFDh7pJpjFqCnMuo+po9erVVqVKFevcubMVKlTIunXr5uYuyp07t/Xr1y/ociiYef/9992IrEmTJrmJrTGEDcU1s2bNsptvvjluR7Zs2eLmdkZ78skn7ZlnnrF77rnHhVAXu6VZWIR0DLOHo8RqzJgxCfbzt99+syuvvDLovissUljk56BQWOSHmsIir9R0McMTEyux4gnwSvlKrHgCvFK+EiueAK+Ur8SKJ8Ar5Sv/rC40ZxHWiuKWFi1auA9o3LixTZgwwVatWuUCIwwrw5xDgbeU4bX3CxYssAIFCgRdDuHPnXfeaWvWrDFULX333XeucihxBvL4448nyEruuusu69mzZ+TOWcR3jz+lwiKFRX6co7DIDzWFRV6p6QuaJyZWYsUT4JXylVjxBHilfCVWPAFeKV+JFU+AV8pX/lmFCouwZkw8ffDgwSSnzsFb07Zv3+4muY7/wq6klkPVUNGiRd0b08KxpUllUXJAKCxSWOTHPwqL/FBTWOSVmr6geWJiJVY8AV4pX4kVT4BXyldixRPglfKVWPEEeKV85Z8VExbxa48OpcKiSO5HTXBN957CIhrVeUJ96fDsxEqseAK8Ur4SK54Ar5SvxIonwCvlK7HiCfBK+UqseAK80uucRfyao0epsCiS+1JhEd17CotoVAqL/KPSZOAe2OnCj4clVmLFE+CV8pVY8QR4pXwlVjwBXilfiRVPgFcqLArNSmFRaEbhq1BYRPeNwiIalcIi/6gUFnlgpws/HpZYiRVPgFfKV2LFE+CV8pVY8QR4pXwlVjwBXqmwKDQrhUWhGYWvQmER3TcKi2hUCov8o1JY5IGdLvx4WGIlVjwBXilfiRVPgFfKV2LFE+CV8pVY8QR4pcKi0KyiKizq06qVLVuwIPReR4uiYEGzQoXi9ubo0aOWK1cuau/+OPaH7T22l9JGg6ha1Wo2ZtCYuF3Rlw7fq2IlVjwBXilfiRVPgFfKV2LFE+CV8pVY8QR4pXwlVjwBXilf+WelCa7PZxddYdHzz9ur77/PO0TKdEPguW7P2ZA3higs8tHj+tLhoYmVWPEEeKV8JVY8AV4pX4kVT4BXyldixRPglfKVWPEEeKUqi0Kziqqw6Ouvvw69x1Gs2LVrl8XExETxHiZv1+6++26FRT4Q6guahyZWYsUT4JXylVjxBHilfCVWPAFeKV+JFU+AV8pXYsUT4JUKi0KziqqwKPTuRrdCJ1K+f8VKrHgCvFK+EiueAK+Ur8SKJ8Ar5Sux4gnwSvlKrHgCvFK+EiueAK9UWBSalcKi0IwiRqETKd9VYiVWPAFeKV+JFU+AV8pXYsUT4JXylVjxBHilfCVWPAFeKV+JFU+AVyosCs1KYVFoRhGj0ImU7yqxEiueAK+Ur8SKJ8Ar5Sux4gnwSvlKrHgCvFK+EiueAK+Ur8SKJ8ArFRaFZqWwKDSjiFHoRMp3lViJFU+AV8pXYsUT4JXylVjxBHilfCVWPAFeKV+JFU+AV8pXYsUT4JUKi0KzUlgUmlHEKHQi5btKrMSKJ8Ar5Sux4gnwSvlKrHgCvFK+EiueAK+Ur8SKJ8Ar5Sux4gnwSoVFoVkpLArNKGIUOpHyXSVWYsUT4JXylVjxBHilfCVWPAFeKV+JFU+AV8pXYsUT4JXylVjxBHilwqLQrBQWhWYUMQqdSPmuEiux4gnwSvlKrHgCvFK+EiueAK+Ur8SKJ8Ar5Sux4gnwSvlKrHgCvFJhUWhWCotCM4oYhU6kfFeJlVjxBHilfCVWPAFeKV+JFU+AV8pXYsUT4JXylVjxBHilfCVWPAFeqbAoNCuFRaEZRYxCJ1K+q8RKrHgCvFK+EiueAK+Ur8SKJ8Ar5Sux4gnwSvlKrHgCvFK+EiueAK9UWBSaVZqERUeOHLFcuXJZhgwZEmzhvn373M+zZcuW5Ja/8cYb1r1797jf6+TxFyqxCG34gEKsxIonwCvlK7HiCfBK+UqseAK8Ur4SK54Ar5SvxIonwCvlK7HiCfBKP2HR2bNn7fjx4y6zSKodPnzY8uTJk+DXSS139OhRy5Ejh2XMmDFOfyEtfpd43SdOnLBMmTJZlixZ+J0nlakaFu3evdtWrlxpTZo0sXXr1lmRIkXiNnPTpk1WoUIF+/bbb6169eoKi8gOjC/TiZSHJlZixRPglfKVWPEEeKV8JVY8AV4pX4kVT4BXyldixRPglfKVWPEEeKXXsGj06NE2ePBgK1GihJ0+fdrGjx9vhQsXjvvAZcuWWevWra1UqVKGbGPkyJFWuXJlC7YcimaaN29umTNndtquXbtaq1atgmoRDj355JN28OBBFyrdeOON1qdPH0PQtGrVKuvWrZt17NjR7r//fn7nSWWqhkWTJ0+2efPm2aBBg2zXrl1xYdHJkyetWbNmtmHDBvvwww8VFpGdl1imEykPTqzEiifAK+UrseIJ8Er5Sqx4ArxSvhIrngCvlK/EiifAK+UrseIJ8EovYRHCIVTuHDhwwPLly2cdOnSwYsWKWY8ePeI+sH79+talSxfD38g9hg0bZtOnTw+6HMIiVCC99tprtnPnTrcuhEFYd+LPwO8WL15sQ4cOtXPnztmXX35p9957r/3666/28ccf25QpU+ytt96K/LAoQBJw4odFnTp1srp169qQIUOsd+/eCot4jydQ6kTKgxMrseIJ8Er5Sqx4ArxSvhIrngCvlK/EiifAK+UrseIJ8Er5Sqx4ArzSS1iEopZ69erZ+vXr3Qcgt1ixYoWrHgq0kiVL2vz58w1/L1++3Bo2bGgLFy4MuhzyEKzv4YcfdgEQKoZmz57tKpMSfwYqmZYuXWqoXLr00kutf//+1qhRo7jPffDBB+3RRx+NjLAIY+Zmzpx5Xi81aNAgbi6i+GERUjekYWPHjnVA44dFc+fOdZVIiZvmLAp+EOhE6v/kwC+Z/pTyFd/nYiVWPAFeKV+JFU+AV8pXYsUT4JXylVjxBHilfCVWPAFeGSwsSrx0jRo1rGbNmm4qnaZNm9ratWudZNy4cTZnzhwbMWJE3CJ58+Z1v0clENZdu3Zt++abb4Iud+jQITeyCkEPWkxMjKsSeuGFF877jDNnztiPP/7oqpQQQmHI2ubNm+Pmf46osAhlU+3btz+vl4YPH+7KqtDih0XVqlUzzGVUsGBBW7JkiZUrV86N/8P4vmBNE1wnfQDoROr/5MAvmf6U8hXf52IlVjwBXilfiRVPgFfKV2LFE+CV8pVY8QR4pXwlVjwBXumlsgiTWufMmdMwwTSyDEyrg4a5ggKtVq1a7ueVKlVylUB9+/a1iRMnBl0OQ9AQLr344ouGMOiSSy6xHTt2WO7cuc/7jC1btriimwEDBsQFSyioKVu2rPt/RIVFTPfED4uw86hGQsPETc8884zdc889DqrCIobmXxqdSHleYiVWPAFeKV+JFU+AV8pXYsUT4JXylVjxBHilfCVWPAFeKV+JFU+AV3oJi7DWihUrunmD8FIujJrCJNOoOlq9erVVqVLFOnfubIUKFXITTmPuIgQ//fr1C7oc8o/333/fjciaNGmSvfPOO7ZgwYKgWkzf89FHH9msWbNs69athmKb7du3uzegRW1YhGqi+LOHY0fvuusu69mzp+Ys4j2eQKkTKQ9OrMSKJ8Ar5Sux4gnwSvlKrHgCvFK+EiueAK+Ur8SKJ8Ar5Sux4gnwSq9h0dSpU61FixbuAxo3bmwTJkxwbyNDYIRhZZhrKPBW9/z587vwp0CBAhZsOYRFd955p61Zs8ZQtfTdd99Z1apVg2rxMjBMqI1haCioQUiFuY4CDZVF2K777ruP33lSmapvQyO36YIyDUNLGo9OpLzDxEqseAK8Ur4SK54Ar5SvxIonwCvlK7HiCfBK+UqseAK8Ur4SK54Ar/QaFmHNx44dc28tw7xEwRremoaqH0xyjdFUgZbUchhlVbRoUffGtFDa/fv3u6FrgYoifk/9KxUW+WcXdkvqRMp3iViJFU+AV8pXYsUT4JXylVjxBHilfCVWPAFeKV+JFU+AV8pXYsUT4JV+wiJ+7dGhVFgUHf3o9kInUr4zxUqseAK8Ur4SK54Ar5SvxIonwCvlK7HiCfBK+UqseAK8Ur4SK54Ar1RYFJqVwqLQjCJGoRMp31ViJVY8AV4pX4kVT4BXyldixRPglfKVWPEEeKV8JVY8AV4pX4kVT4BXKiwKzUphUWhGEaPQiZTvKrESK54Ar5SvxIonwCvlK7HiCfBK+UqseAK8Ur4SK54Ar5SvxIonwCsVFoVmpbAoNKOIUehEyneVWIkVT4BXyldixRPglfKVWPEEeKV8JVY8AV4pX4kVT4BXyldixRPglQqLQrNSWBSaUcQodCLlu0qsxIonwCvlK7HiCfBK+UqseAK8Ur4SK54Ar5SvxIonwCvlK7HiCfBKhUWhWSksCs0oYhQ6kfJdJVZixRPglfKVWPEEeKV8JVY8AV4pX4kVT4BXyldixRPglfKVWPEEeKXCotCsFBaFZhQxCp1I+a4SK7HiCfBK+UqseAK8Ur4SK54Ar5SvxIonwCvlK7HiCfBK+UqseAK8UmFRaFYRFxaNGjXK9uzZE3rPpBABERABERABERABERABERABERABERCBEAQKFy5srVu3Fqd4BCIuLErce2+88YZ1795dnWpmYsHbQKzEiifAK+UrseIJ8Er5Sqx4ArxSvhIrngCvlK/EiifAK+UrseIJ8Er5KjQrhUWhGUWMQobnu0qsxIonwCvlK7HiCfBK+UqseAK8Ur4SK54Ar5SvxIonwCvlK7HiCfBK+So0K4VFoRlFjEKG57tKrMSKJ8Ar5Sux4gnwSvlKrHgCvFK+EiueAK+Ur8SKJ8Ar5Sux4gnwSvkqNCuFRaEZRYxChue7SqzEiifAK+UrseIJ8Er5Sqx4ArxSvhIrngCvlK/EiifAK+UrseIJ8Er5KjSriA+L5s6dazVr1gy9p+lAIRZ8J4uVWPEEeKV8JVY8AV4pX4kVT4BXylc8q59++smKFCliefPmtWLFivELpkOlfMV3uliJFU+AV8pXYsUTCK2M+LAo9C5KIQIiIAIiIAIiIAIiIAJJE1i2bJl999139tJLLznRmTNn7OTJk+7f999/v506dcp+++0369Chg3Xt2lUoRUAEREAERCDqCSgsivou1g6KgAiIgAiIgAikZwJr1661H374wa677jq79dZb0zOKJPd97969ds0119iWLVvs9OnTVq1aNfv3v/9tU6ZMsTlz5tiYMWNs3rx5rpp98+bNVrJkSXEUAREQAREQgagmoLAoqrtXOycCoQkcPHjQNm3a5C6SM2fOHHoBKURABERABMKOAMKMmJgYa9Sokdu2Y8eOWY4cOVy1zJNPPmmdO3e20aNH21NPPWVPP/102G1/am3Q77//bldeeWXQj3vwwQetVatWLgxCaDRgwAD351//+pedPXvWChUqZPfcc49VrVrVrr322tTaZH1OBBP48ccf7ddff7U77rgjSd9F8O5p09OAwLlz5+yLL76wlStXuvPV5ZdfngZboY9MLwQUFqWXntZ+ikAQAlOnTrWOHTu6CxhcQGOcs+ZjkFVEQAREIPIIINAYNmyYffXVV/bzzz9bz5497dtvvzUEIG3atLHy5cvbm2++aTjvb9y40TJlyhR5O5nMLUZY9uGHH9rChQstY8aM9v333ztmefLksffee89mzZplI0eOtOXLl9vf/vY3a9eunfteRDXWhg0brHTp0talSxcrW7asC93UROBCBPr06eM8dtddd9nbb79t06dPt0qVKgmaCPgmMGLECHdOypAhgxUsWNBVPy5ZssSdz9RE4GIQUFh0MahqnalKYPv27Xb06FE9sSGo42npzp07rUqVKu6LBk+h8aWDcvqHH37YSpQoYR988AGxJklE4C8CqE7r1KmTTZs2zQ1zQYWDhmjIISKQ8gTWr19v//3vf61x48bnrRxz6lx66aWuiuHZZ5+1J554wlUZ4Ub1P//5j1199dXWokULV0GKG9b0+DS6b9++9scff7igZ+vWrW7uIZyvRo0aZdmyZbP+/fu7iazr1atnv/zyi917773297//3V5//XWbP3++lSlTxlApgu/NSy65JOU7OMzWeOTIEReaYYgemFWvXj3MtjB8NmfHjh3uuEPg2LZtWxfM5s+f3/kMw0C7devmwkYElum9oeoRx9zx48edrxDWqsUSGDdunDtHP/LII+7/uMfBUFicb5o0aWITJkyw7t27u58jILrhhhvcdbte9iQHXSwCCosuFlmtN1UITJ482XDxhxMrbk4///xzDaVKRB438qtXrzb8/eKLL7rfPvroo+6pc5YsWdwXNS6C8SWEp6X4nZoIhCKAiV+zZs3qZJgQFnN8DBw40F0g40nqzJkzQ61CvxcBEfBIACEPqoQCw8gSV8bgxh43YP/4xz/cEIUKFSrYxIkT3bGJapp9+/a5G37MX1SqVCmPnx75clRZ4brhyy+/NAQhCIYwkXWvXr1cdS1CEQTf119/vavIatmypR04cMANQ8ME2HgwVadOHTe8L9obbugRSmIII25UcfOKAC09howYgoj+x4O2+A0/D1R0PPbYY5Y9e3YbOnSoO97wf1yXwkuVK1d211arVq2yF154Iaqtg9Aa1+R4IBmsYf9RpYehnAsWLHDDOfH68vTccA5CmIhget26dYZhZpgaAiE/OPXu3dsF1LjO+uSTT9zxeOjQIReyvf/+++4aHxWTaiJwMQgoLLoYVLXOi0IAFy54IpMzZ073JYwqmYYNG7pycVz04aIYJ82mTZtelM+PtJXiCTRKU/v16+cuYDAsAU+4cHGDL2dUGN19991WsWJFe+utt9xFMp6a4gsovTU89XvmmWfcE3kwwcVeIAhJbywutL/wDi4AUVr/zjvvuCdauFnFcVi3bl373//+5zzXrFkzNz8KfKcmAvEJ4EYCIbWaPwII9QsXLuxC/j179pxXGYMKUdzQ4vfjx49334n4vsSTaAxPw/foK6+84gKn9NjADFVDGGqGG3g8NMEbzgYNGmQPPPCAO7fly5fP3bjh5gw3cfhOTA9VRKiMwfUTQkZUfaBKrUePHjZ48GD79NNPbdKkSfbuu++6SrX01nDewpAf3LyjAhvB0XPPPedu0hF+4DoL11W4kb/xxhsdHgSzCCHxPYjvS4S1CIxwbRbNrX79+vbqq6+6UBrhBoZ5Yt40XC/guMK1Fnji/LRr1y43KgDey5UrVzRjCblvt99+u6vMhq8Q0H788cfOTwjeXn75Zfvzzz9dgISgG/Oo4TiEn3AtX65cOccyPYTYIUFKkOIEFBalOFKtMCUJBCZxQ7klbkox5wK+dFDqe9VVV7mhU7gw3r17t/s3fo8LwfTY8EWCizmwwI3CihUrrEaNGo4XGOEJF8KQyy67zO688057/PHHXdlqrVq17KGHHnJPW/FFji+paG94UowLYjyxwdADPK3HDVSDBg3cxTIucgKvT452Fsz+IQSCdzCEBTdS8BNuHjBEA8cdAiLcWA0fPtxuvvlm9zN4SXMzMHTTjwbDFHGeCQzDwI2EJtXn+x83nzj2cPM5e/ZsmzFjRtDKGNxwIBhC0IFjFK99xwMBLI+biWi5ocADDsy7hKE+XhrCDzxswg08HpBgHhmwQuUMKh5++ukn98T+iiuu8LLasNaiIgr7Bm/Eb4HKGFxr4foJFQy4hsINPoJJPITD+RxDGsEK1QvwUnpsqDhDgIa/wQLfgRjamTdvXhci4RoC11O4PgVv/BtvzwNPVOLCr1gG35HR1jAZPCoYMZ8XrkERSmPIHSodFy1a5DyDgAPnLgQcCJNwzYAGn+EBE3yWHhuOPQQ9OLcXKFDAzUGEyjScg06cOOEeXIIjGuZQw/U6fj5kyBA3Jx3a4sWL7aabbtL3aXo0UCrss8KiVICsj/BHAJO4YSgLLgbx5YMbfDzNwRdM+/bt3Zcwgg+k77gY/vrrr91Y388++8zfB0bwUhh2gKekeNKAfyNcQ3CEYWV4Qli7dm03bAFPvvDU4p///Kd7YoGbt23btrknXnhigQufaG24McUXKm4sUD2Ep4PwFjyGL2NcxIEJLvIQmCEYSa8NHkKYhuEGGKYB3+CmHjeomOOjePHibvgn/IOLGgQAt9xyi5vvA09N4T2wRhAXTQ1vDcydO7d7wqzmncDhw4fdcYf5FxBo42ky/oaH1DgCuAkrWrSom6AaNxbBKmNw7OJmAjevqLpFJVe0HYughWADN+q4QcUNF3yESipUHyPUwHCxYA3fj6j+QKUtKopw3sJQIVQ6IAyIxom/4Qk8CEEVLRquAVCtgEorzIGC8zcq1gLVo9AgXETwgesCBCS47sK/US2TXhrO+bj+hF8wBA9VenhwgupjVGXj+xBBI+YGw+/woAlBG+a1wtxYY8eOdahQ/YE36UVrOI7zDK4LwKN169bOJ9hnTAyPa1CwwjU8KvQQnOE4Q4iEQAmVMh999JELbdNLw8NdhGeocMT1J4J/HH94qIvgDb7DfQ3uZ+677z7nPQRtt912m5s/Ddf0+J2mjUgvjknb/VRYlLb89enxCCSujMGJEE+zcPGCG1Ck5rh4wfhwzLWAN7rgSQ0uZjC3AMIlpOyBEuBohpv4tZn79+93b9rAFw+e4OApBEIg/B/lvrixR8iGcunAvAu4sEbJfbQ33KDiixg3D/ASAg9cKGPIAUIQVDlgXgpcLKOUHAEkbmjxpCc9NgSHqDpD+IgLXvwfxyIY4vjCsE8cbxhXD2/hAhgXMrg5BUtcDOLpVzQGKjiucHOKC2JwwE0lbjLV/iKAEB8T5yOoRsON1Jo1a1xIiwth3FCh6gU63FwgpMYEw4HXvacnlggncAPvdcgrgn98H2IS3WCVMZhfBzdrCJOiucFX4IehQIHgGvuO8xGGxuI7MKmJc1FdiwAEVR8I4BAwRXvDDTuuk/AAAEOFcH7HEDyczxGc4ZyNqiroMEkzzve4RsDNPyqV8Z0ZmCMy2lnh/IR9RtCBB024rsR5ChXtuH7A9SoeKuE6FAzxnYe5HxGA46ElhgXh+Iz2odiByjQcf82bN3cVQrjWgldwroffMOzsnnvucZYBP1yDIqDFtQKGx+LaAZVZ0X7tHr+SFud+eAcPKHEtjnMZfobwBxXuYIfr08CbGREQ4doD1WqYzFpvPov2M1B47Z/CovDqj3S7NcEqY/Algy8TPI3A0BcMmcKTRFzk4IIFFSCYFA8TBmJiSgy5wk1KtLdgr83EJIFggC9qBGy4eMFNGCqNwAVPUjHXDJ7A4ksn2i9gECLiCSpuqHAxg7HweIqDoWWYWwfzdWDIAYI1DLFCFRG4YT4GXBzCRyjxTQ8NE5/DPxiSh+MNJc5ggSdXuGjB8Yb/4+YTXFGlgAs+XBCjnB4BCoK2YG9nijZ+uClFyTye7uEYw1CWwBCfaNtXv/uDC1k8FcUFMEJs3JTDV7hB6NChgyu1RzgbCGMxdBFPoHFuT28NXsKNOM7TXt4oiBt6zCWDBwDgnB4qY+J7A37B/uOtcAizMR/fN9984x4qIZBE5RqOUYRBwSbxxsMWXFcgwExqEt5o8CIelKDyGt/3OOZwE49zFo5DnMtwDOI7D1UhqIbB3Eyvvfaau67C92XgezEaWHjdB4QY4IXqIFQD4RhFGIJrKXwPItjAtQKGNOLFIajCxUOm9HIewzHYsWNHN1E+WHzxxRfuOgLVjDgvoboY1wh4QImwCOEbKolwvsNwSIRq+JMe3uCF4wzHFK7d4RMMM8N9CwJqVGWDFyr/UFGEwBEM4T2EuWD13nvvOR+i4eGcmgikNgGFRalNXJ/nCKAqAXOa4IkCysZx4RasMgaT5AYmcUPCPmfOHFfWiy9snDyj7ak+gg08oQk8hQlmFzzdCvbaTJSS40asVatW7iIPTwZx44YvcIQkKHFNDw0+wQ0UAg0EipizCUNdMB8Dbh7wVBCVMri4wZcznt6gzBxfzGAPT4FhtJaLBzyAGytcsGAoAiaYxM08Ajb8HAEahrdgvhPMQ4DjFZUfzz//vAuFcIGMCx08TY22huMLc5XgCR4aqg7ABeXyCD0wDxPCRHgFF8zwFW5WA5U00cbDy/4EqkBxA4CqDtyIIlTDjSiOMTBCRRaGagSGIODGHtV+GA6UnhqGYuBGAVVWOMa8vFEQnOFPBCR4kBLtlTH4rse5GoE1gg+cn1Edg3lPAnOGjP1aAAAca0lEQVQV4rsPD0vwtB4hN27kcX0ReANo4LojcD7DfEXROmk1wjBcO6HC6o477nA3oDh/wWM4X4EnrrtwDGL4Dx6a4ByH6wXMDYnjEcshzIymhvMQqqiYqlecp/DAJPDCD1SAoGoND9vwkAQ38QjdEL7h4SUemERzQ/CP6h9cH2EoNr77ce2EMAgP4PDwDcclAjP4rVixYm64LK4dcJ6Dx+BBXJulh7kMcQ2Fa0p8F+L6CtdO+I7D8EVUaeP6Afc28BhCNwzXgzcx1BPnLFyv43hFZW60V4j+X3v3ErPX1L4BfIUgTR0qFSIRxKGJQ0ciiIlIDAgjDDQmTpE4TYhoiUmDOg9QdZogqLQRBowEMRCJENIIIUQcBtrEedCE+Oe3v//yPR57t+/b9/2qz9rXSqTf9777ed69r73Wve77uq/7Xi2vm1aeLWRRK29yhp7jjDPO6O7WpiGQJ78UwHNWppUxjGxt4oZQeu+995pvYI3kIP2m6OjbJGrd9/SxmbI7CDe14DYh/RpkVefb/HOGplJ3q5w1AangieqFg2JOkYlzXBCMnGcbL+IMgcSRsZnL0piHNfiYtWef7/3KiHJylVEpueOgcGj8a+0p3dDPSWkLJ49sGoaulRGTjeYstzxkRPU/Q0qzN5RDVFd6W23atKmba/ox1V4UnDulMGNorM9xHernUrFic2SROcQIa06v+WZQN1D16U3hd5xkWVRqhjE1N0VIUuSx7zLKyqsFCnM9UZA9a1kRM2lfYMX+2Bf5CLLylArwsy7Zf02b9d6xDp24RFUriJWxZ+v5F+ak76CcHMPR73wAZZ6Ue+y40rINGzZ0a03gKli1V1Jg+Rk/QZJpR4mqWbX7iGrkIoJDeTUijP1WKobkGBrIEAoPvoV5iCyqxK6AHn6tD8kjyRB9qth2qlGJJSS/dUaBJnlrWG8Uf5RqemNKKlGW8inGMPhM1FL8qXrKm7nnlDPEormG6LfW2H32HmnrM0huCQQqoiSexjBbZusZQxbN1vva4+8WkSEjwzgODUG7zBZJpvIzWXpOIIdwWhnDcHJ0xtLEzQbDmdHDQkDFue0bNp2+YzNhLwCRPWx5CK4QFzbnqnKRtdKkmiMjO8qpk8ESVMnmcJwFDDZiigdODDJyDINUXJCvB4XssQBC0AQLBAiiERminIXiirJG5p2DzMFWzuDf1o88Z4cQjTLqyoKUHbA91htyQzmek98EGYJUTp/eAhpQtpaFn1wXiFcOPzwQq31DkClYRwhRq1GCIEAEE8qmKPVq2RUCEmmEILJGhxoRt7I2J5UxbLt5w04hLQTrSjPq4Q1DJwoiiChBkJnW4bp165qApwby9WEo0iim2GZBl/2sKveU+NgjBVV8BaQRAtPcQk5SfPAZJAT0XRPM2ivsE66fZYKNegzZQx07l1HLgAShBlIWYQJPajaJJfMO4SEBIMnU4jA/7P3ULprCww+ZQXnFD7DPDZVQ+53rKJPtizCtitMWsZp8pqqMQfbzNfVvQjgqp9LyADbINGWObDibhsil/qsHhPAxZnnNzeUdT9orPpYECFtuwE3fKgpkCSaqdwNuSvTES2wadZE9cwx90+aCaa7Z8xAIWbTnvZOZviMZBkSFzDwD2Dcw6rL1MhYGh88G47SWVpUxCC8Oax+JwzEWUCHOBPI2HBmH2h+mD0OfGeOxmcgeUmjKK/MGboJSARiyiEpGwC9bAyNOMcVMPfWNhLp1uXidL7AQlFMJwUFZBjKIwyfwNBC0tQF6VRFRX8l0Uf1x9lo+IW9ybWkuWU/8gQtn7t577+1KqOqc0WDSumS/kEbURBQ1HEHlQK0N6kVri20SZCpFGFIqIswoiPRIQ7S5rvbhEbD7vLkFKz3EamPU1jCbfp4+ZYwMvfXG1lMrsGNDJwoiU6gg7B8CVTi3Uj41Gcg7WEAPIvNHibrAnJ231lynoSvbLnBXOuU65Ak1g3JahC4yt7VRE3BIReQ+38p6Mm+QHEo6+0Y9NY+ylvIK2YtA868ydr5Ga4PNRhxWtRBSCMFqPiE47GlIbQSQn9kX+VGSS31D02+EI1/CPth6v5g+ZQwMEIn2O8lLhBs/SlIFNuw50k3Jp6QSFV/rJfx1rrA7k/ZKqR0CFnENG+SQdcpOId34Fey+n4t/5nuwQWvrNc8zOwiELJqddzUTdypARRKR+dqIh5hyzDonWrYPAUDiKish+9OSMkYgzjFDWDi1rWYcBEoCUZl6TiBnxUbrP84fZRZnZuiEIN87pmMzbbacPM8sc8NRWbJkSee0cJw5J8oSZNxllzmDyhCczkX+ax7qv9Py4IQIDDhtShhlADnLFAh+JqvMYfY7qj5rj3NYG6ALXKmxKNsQTGMbcCGht/Y4vAJSJS1VxUGtQHEloGWnBPECCNe02jBe0GXdrVy5srNLSnrY676gib0S1CP8zTunUCE5qI2o1gxljq05yMqfJvvBUXeaH+YT5VCfMkZTZoEDbCnW7JeCBwqu6RMFzTeJlBZLpxAhEiPskj1QUI6YZLuQHWy89UX5ghiBLWWbXjwwRoALYNl4GLU4JhNw/Cv9hCjVnIhnzZkflDN9g3pPYMpuwc/abFkdKpEkESJQ5ydYUxRqyA4+BLKRkoMyzb5ovVm7VMoao08OuFPksmG+q9XTGiftlSRRnzKGX8GO8dP5DA4OkUig6qZMNs+GFKctrUl+p2fmv+s/ZD1N2yt91PhiSjslAKhrrVcKI2vPPkqN3Arh39L7zbMMIxCyKLNjTghw/gXlsn/TY1IZU0+XwqwL7IcGQ0sRQspqc7d5t+jsvfTSS92GggiTkeGccEJk4AVTAgMSXr0CYCzYQiIJIODKUZnEhQOtPI0sv/XeMbKEylRssBQfnDlKF2oZOAo6BfbkuxQeHD7BqJp6zb5lxPSTaWVTFlANlc2ZN0hayjVOHAUCLBBBZNLINOVBFDKIRhjVhsKItTE1QB+ySQhdqgUlUcg1gapAzM/NL2uOes2aHctQTiAgZ2uoiiiFKK36BvulhwySBCkOM2VEOypJnnUcBQ+UGvVkG/aabbem4ETRKHCdVsZQMwg+KWEo2nwGYTQGkpZdRlZbYwgP5T01kEf4I60FXAYMKSERjgJS+Lqm1cBULyG9Xmr5uf5ylBv2QfODLyFBQqHHltsXEbcOI+gbiCUBPpKptaO2BdwC9+m+jhoKK43Si5BPoARWKRRM+QXsujWL9PBzmFP6OSmWDaPc4n8hmNh+fpv122Ivp2l7hRTSU3RaGSPhKQnHTzUfrdvJxvGzbsfncv9KySRL7P/IHz4oGzZtr5BB/C7Kd/6/f5Vf2xPtpbUsdC5/M9cEgT0FgZBFe8qb2EPvg4HkbHBsOSjIoMkmuQyfzN+kMoYzI9Nlkx3q4i/oGEOXf9nP2jSYsyHToCcFAsOmW9UdNhJOH8dG9ouqgZMseNBnhtTeZ2UsKGQEtK1Jfc0Jzq0eVhxhQSYHTkaUBFqAUAmheioXdZrP+NdAgCCIWqv95qBotEmR0Of0c14E6oICDq/MF9ULx1kmVQAPM/ORM8xZriq3PdT07PbbUroouCcbF0joS4S4VbrBvgkexnDM7yTwCGvqIqQZ9RSyzJ4wtL6oraiIlMuModyTkgEZZK7I0Fd1GptlHTo1iB3vU8bA1J5KWdqiaqhvAQuw4KW8jIrWPogIqYG8z+glV5Wjfm4t8iXsAfbLoT5+u91g/A/+oP0f4S8AVTKsFA9BBKuagBPMs+l8MjYcoVGJj8lbUu4vMcV+1V59/4Nb/te+klJbrz1rrCrMYKakUyIOUT2pkkEe6XcFTwk6hK3AXtISaWTOsf8Ce58dauT/rz3wIvxh9typbpT9kmyek5p20l7pbTWtjKGeRICIBWA2BlKbH8DvcnIejCQElG5K1tZh/fXZKz48e6VnEX/WQCzZC/R+QlhmBIFZQiBk0Sy9rX/hXm22lC21SalNBmFUm+Q6olZWZloZYyMSvMqcTipjBBNkq4KNVrKDsIFLX+aJOobc2X8IHpkJjq/AnbMHNw6ijA7VjIyqIMvva08PWS4BGpKIE9TigIlyBBh4Xg2pt2zZ0jnImlYb+sUgzRBG9bhpZQwyzRy/1sZks3hH8yKEKF8EW9ODc2etcmTMMcoha1DpGdWCuSlLTXGkZKM1onEx3j2Fo/lnfsHTnIJ1q41f54oZWyQ4kEkWmPqPtH56CE7ZKYRJy2NSSWuNUY0a5otAXsDKllWVqLVnnxyDMmb6vVNNsV1sGftEqaZ/Tm1CDSNkBoVIDeTZfnsqH4EaUoDa2mDL2eVplSL/iIKoqhjhxSdAPNYEHP9JnzRJJwN5RiHC30IOUXQLSJUTW6fsGcxr0DpLWEp+6AUnyJ4eEh/sNftsziCD+EzWpD5XTq1Ebislo8ilsJVA0fNLSRCFsvK8sQzkB7wQYpRXkgB8p2l7pTWC+TKtjLGWreMWGusrT0TWDzU2l/BgeyTDJSOtNYSkQz58Drlo7fKv+Fqt26uxrJE85zACIYsyO3aIgA2YFNzmWo+olV2fbJIrqzWtjFHWQnGkbleQIYilkFEfLtiQEWphcHCdJiLzMtT8kCMnoLC5CBiQQRwVKhibUg30lRnZjFo+VWnonTuGlXLKfKNcQwwhxpQ9VoUap5gTKHhotUHnJD6TvSoEovAha+bs9g3ZZyVo5paMNEKNg8dJpNoSOIQk2rnVQapZy60SsztH4O9XULNR6+kTw3lWQlSl9H3BacvHSetbRTk7qaQVkFKD2AMoQqs6TZAu4KpN98egjDFz7GfsjP2Mr0A9Rf1BzWEvRJTYDwVaCEb4KdurgbxrlDxSULbYNB5GiGlzptppySIKZDhQTyHP/Kz2nPMZiTeEkKSRvbAq/CgeYKg3Edz4V5JXsz74Aeww31KPnOmBGJKoRF44sdIep1RduwT+aW0uTCFEiWUI9PkWQz2eZh2zev/8UsoriUhEGeU12wRPJGUdk2raSXtlXU4rY/hhkp8IplkfbBFfXDld3xC/mEswNCQBJMn5nhdeeGGX5JXs5cPz51u3V7P+vnP/C0cgZNHCMWz6G8jFZbY4wqSVsoPKp2zGtUnukDJG1tBG7TpBfyulU57L5uFkDQ6t4BwxpvdCH2FUnRiBlQ3YZstZJm9VxuDzYx8yqjZgWRqOHEk4cpGTAyPlCkoaOcutKNJ29s4nm8VbQ0rHOMAyxn3D3FLSQS7u2FtB15gypzvDM7/fNQQEtuwbhSiSSCBBPSSgbSk47UNnWhmDNOtT0joBBzFkjcrMs18CfQqaoez1rr2NPfNT9jh2mkpIk1wNqu1rsvFIa8OJSXruUVoJZvkDAn2KD2T4WAL5+gY9O4W2OSNwpfTQgwjZRlWLOJo8fABZWxNwyCJrsDVCm2+laTdsqDfs+TCBRd+zUq25rhIYStclVShnkP4+J8mp3GpMA7FISUbxouyO3WaH9AurKmxzriZzx2Cv9EXT1xEpLSErcU2p3Ze4Zr/4pLAzqGutU3EPbCmT/AyZZP5lBIHWEQhZ1PobXoTnYxwZWQ0FOcpIEoF8bZI7NmWM561NcCmuZAdlm2UehobMl/plWT9khywPhxmJls3mP6gJGqqiyEasQS5JPtWRjd3/H9OgFFJSUHtVCM45vprCDw0kkYwzQqm1U6fG9O73tGc1p2T6W1As7Ajb2oiaTR5Sxsg4TytpBfr2AoGuABVhguBu5ZQ8fc6QhEp8+gYfQZDuGnaH3XYtBahyID06nDCoPErCyf5JBSloE5i1gtN81i0yA5mPVFy6dGmnJEKMUGFTg9SSTmVC+loZNQE3n78za9cifJRBURNReFBwULf3HYBijVKJUNw6JEWZlaQcnMbQE3Po3SI1JNoQIfxVpBvlEL/AWuZn8enr4Ret2as+XKwj5Zt8cfOKzVFiNnmSZf2cOSQxaV7BTnKYQrtP4TZr6yv3GwR2BYGQRbuC2sg+Q3LP0FLDyOSQ/yqXGmuTXEGTwECWhspKloEzhzwbOnGkHrU9VEI0sinV+7gaOCvVU8aiNl42bNmyZaOGZrJXhQaJnD/zbvr443qKC8d67JiNesLk4XcJAYG5/a2e8MP2IPP7lDFKq/p6zNkLZK1bU3sAlJIFWT10fLhyav11NAs29PiAh6BUWRDVqCBNdl8pMbWaYH7sZbF6yGl+bk5R6QlMYUN9RaWl/xyFyBgaCps31qEyPDhYj4hG6o0dHcYgkKdgp+rWiFiQP/aBNNM3jZ9uPjlwAIYIIz0LEbq1V9FYsKLEk+iGgbJNfuaODuHRFJ5a1DCvqLYzgsBYEQhZNNY3P4/nlpkgKef8yd4I6Fs/tn1n8Dh+XBkZuTh1EGcPJpy/6UGi7/qhnkY7+1tj+j2HBhGycuXKKK7+/8XXXhX+FWjJPlNZWZeCVmUelBAtn+IypjWQZ929CAim2HAnklHMUscgNvTnEHRNK2MEWdQxrfeYowSSCJGF1yeH+kBZS18D8+ojSIogNtgkygaqW33oENx6pglgM/6LQD3lUnkxBa3SY8QbZQP/ok9N0zp+tWwf8YhsRHToA4aI7RsCfqTaGLEamgsUxpRDyhytSaoYvtXYyVl+utYa7JB+RZRCEr99w74Q1X/r1ibPN1cEQhbNFamRX8fxI2ElD874DwLKDWT9lB7oKaNnDLm0gRxyqpcMNQm+DAWnJyMIzBeByV4VHBzKISo2QatyDwq/oaPM5/u3cn0QGCMCep7oUVHtN2JWQOFUqj5lzBgwQlogeJDQ9jOJEbZoaCg5owZBZjt+2//XyyljGIGqJmLDNfym3G69+fJc5gOy1gmCWh/oqyNJKcifHHpcbdy4sbtOk+GMvyPgYAK9m5TN8j+jOC6dn04xhKTVa5ViyAm7dWzfvr0r+3fiJcXaWPpjZu0EgZ0hELJoZwjl90FgAIEPPvigO8GEE6MXkTKqNWvWdBuQAINk339j7MeQSbO4CIyhV8XiIpZvCwJzR0BpgtIfhzjIvgvancQlyBqrMkYJnkDdiUkCcv0KkUFDSY9KasNLxj4qornNP3NuxYoVUTFMwEUJg3DkUyE5nODlABGE7qZNmzqVuz6R/K4jjjhibkDnqtEjwC9XgmYO6ZumfQRiyInOzz33XNeAX29RSbj0fBz9dAkAEwiELMp0CAILQODZZ5/tjgWe7EWkcSf5dEYQCAJBIAjMBgIa5TrOXKBAFaP56VDpy2w80cLvcv369cXR7IJ2p6Ii0hwf3TeUbVAeUzMMndi48DvKN4wBAckRJw9qPqz00TC/1q5d2ylp+06wGgMuecaFI6A0T7mnvmoSAgYVlr5sDiXICAJB4J8IhCzKrAgCQSAIBIEgEARGjYAggppGnyKlVykbLp2SAw4aDzuJ0fHbsvC1l4cA/t133+16E+k1pyxbRl5T4owgEASCQBAIAkFg9hEIWTT77zBPEASCQBAIAkEgCCwAAYSIcqCtW7emWe4EjogzGXdNvTdv3tz1JHJa5dNPP90RRw51oKxNVn4Bky8fDQJBIAgEgSCwhyIQsmgPfTG5rSAQBIJAEAgCQWD3IaAHigMLUkb1X8ydSqWR8KpVq/5qvqy5sNOnnCCXEQSCQBAIAkEgCLSLQMiidt9tniwIBIEgEASCQBAIAkEgCASBIBAEgkAQCALzRiBk0bwhyweCQBAIAkEgCASBIBAEgkAQCAJBIAgEgSDQLgIhi9p9t3myIBAEgkAQCAJBIAgEgSAQBIJAEAgCQSAIzBuBkEXzhiwfCAJBIAgEgSAQBIJAEAgCQSAIBIEgEASCQLsIhCxq993myYJAEAgCQSAIBIEgEASCQBAIAkEgCASBIDBvBEIWzRuyfCAIBIEgEASCQBAIAkEgCASBIBAEgkAQCALtIhCyqN13mycLAkEgCASBIDCzCPz888/ljz/+KAcffPDMPkNuPAgEgSAQBIJAEAgCs4pAyKJZfXO57yAQBIJAEAgCDSLw+eefl8svv7y8/fbb3dMdc8wx5Yknnihnn332Dp929erVZd26dWXbtm1l+fLlDSKTRwoCQSAIBIEgEASCwO5DIGTR7sM6fykIBIEgEASCQBDYAQK///57OeWUU8pHH31ULr300rLffvuVp556qvvEZ599Vo477rjBT99yyy3l7rvvLlu3bi2HHHJIcA4CQSAIBIEgEASCQBBYAAIhixYAXj4aBIJAEAgCQSAILB4Cr732WjnvvPPKBRdcUF555ZXui19++eVy8803F2TQZZddVh577LFyzz33lC+++KKcfvrp5eGHH+4IpkmyaMOGDd3n33rrrbJkyZLuO4866qjy6KOPlosuuqj72fbt28s777xTrrzyyrL33nt337tixYryzDPPlKVLl5ZzzjmnnHbaaeXjjz8u33zzTfe3/Y2MIBAEgkAQCAJBIAiMAYGQRWN4y3nGIBAEgkAQCAIzgMADDzxQbrzxxoLsufrqq/9xx5988kk54YQTyqmnnlrOP//8ct9995XDDz+8fPrpp38ji5A6FEm//vprR/wcdthh5cQTTyxvvPFGOfbYYzui6aqrrirIKUSQ35188snlxRdf7L7npptu+kuddM0115Q333yzI42++uqrcuSRR84AkrnFIBAEgkAQCAJBIAgsDIGQRQvDL58OAkEgCASBIBAEFgmBO+64o9x2220daXPxxRf/41vXrl1bbr/99rJly5Zy0kknlbvuuqusWbOmvP/++2Xjxo1/laHtjCzaf//9y4cfflgqOUVhhIRatmxZ1y+JckkpG0Lp8ccfL88//3xZtWpVp1aiesoIAkEgCASBIBAEgkDrCIQsav0N5/mCQBAIAkEgCMwIAi+88EK55JJLyhVXXFGefPLJ7q6VkiGRbrjhhk7hc//995cvv/yyHH300V0J2vXXX99d8+qrr/5FFt16660dyfPjjz+Wgw46qBx44IFdqVpVFh166KFdCdojjzxSrrvuuo5sOv7448sBBxzQ/W29j5BFSCeE1KZNmzryKmTRjEyk3GYQCAJBIAgEgSCwYARCFi0YwnxBEAgCQSAIBIEgsBgI/Pbbb93pZ99//32n6vG/H3zwwe6rlY5RFOlTROWj9xAyByH07bffdoqk2uDa6WkUR1RIP/zwQ3nooYfKWWedFbJoMV5SviMIBIEgEASCQBAYBQIhi0bxmvOQQSAIBIEgEARmAwEnoVEX6RFkUPsoMTv33HPLn3/+WfQQ0tOojlqytnr16rJu3bqybdu2jiA688wzO9JJP6Kvv/6663P0+uuvdz2LqrJo/fr15dprr+2URZpbK0+bVBb5zjvvvLNs3ry5I6eiLJqNOZS7DAJBIAgEgSAQBBaOQMiihWOYbwgCQSAIBIEgEAQWGYHvvvuu/PLLL526aJ999vnbt//0008dEeSEs3333bf3LyOWEEfLly8ve+211yLfXb4uCASBIBAEgkAQCAJtIxCyqO33m6cLAkEgCASBIBAEgkAQCAJBIAgEgSAQBILAvBAIWTQvuHJxEAgCQSAIBIEgEASCQBAIAkEgCASBIBAE2kYgZFHb7zdPFwSCQBAIAkEgCASBIBAEgkAQCAJBIAgEgXkhELJoXnDl4iAQBIJAEAgCQSAIBIEgEASCQBAIAkEgCLSNQMiitt9vni4IBIEgEASCQBAIAkEgCASBIBAEgkAQCALzQiBk0bzgysVBIAgEgSAQBIJAEAgCQSAIBIEgEASCQBBoG4H/A2ZaUJk/NsUOAAAAAElFTkSuQmCC", "text/plain": [ "\n", "\n", "If you see this message, it means the renderer has not been properly enabled\n", "for the frontend that you are using. For more information, see\n", "https://altair-viz.github.io/user_guide/troubleshooting.html\n" ] }, "execution_count": 12, "metadata": {}, "output_type": "execute_result" } ], "source": [ "from splink.charts import waterfall_chart\n", "records_to_plot = df_e.to_dict(orient=\"records\")\n", "linker.waterfall_chart(records_to_plot, filter_nulls=False)" ] }, { "cell_type": "code", "execution_count": 13, "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "Completed iteration 1, root rows count 638\n", "Completed iteration 2, root rows count 122\n", "Completed iteration 3, root rows count 35\n", "Completed iteration 4, root rows count 6\n", "Completed iteration 5, root rows count 0\n" ] } ], "source": [ "clusters = linker.cluster_pairwise_predictions_at_threshold(df_predict, threshold_match_probability=0.95)" ] }, { "cell_type": "code", "execution_count": 14, "metadata": {}, "outputs": [ { "data": { "text/html": [ "\n", " \n", " " ], "text/plain": [ "" ] }, "execution_count": 14, "metadata": {}, "output_type": "execute_result" } ], "source": [ "linker.cluster_studio_dashboard(df_predict, clusters, \"50k_cluster.html\", sampling_method='by_cluster_size', overwrite=True)\n", "\n", "from IPython.display import IFrame\n", "\n", "IFrame(\n", " src=\"./50k_cluster.html\", width=\"100%\", height=1200\n", ") " ] }, { "cell_type": "code", "execution_count": 15, "metadata": {}, "outputs": [ { "data": { "application/vnd.vegalite.v4+json": { "$schema": "https://vega.github.io/schema/vega-lite/v4.8.1.json", "data": { "values": [ { "FN": 0, "FN_rate": 0, "FP": 173869, "FP_rate": 1, "N": 173869, "N_rate": 0.36387208104133606, "P": 303961, "P_rate": 0, "TN": 0, "TN_rate": 0, "TP": 303961, "TP_rate": 1, "precision": 0.6361278891563416, "recall": 1, "row_count": 477830, "truth_threshold": -27.759999379515648 }, { "FN": 1, "FN_rate": 3.289895630587125e-06, "FP": 173869, "FP_rate": 1, "N": 173869, "N_rate": 0.36387208104133606, "P": 303961, "P_rate": 0, 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", 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"text/plain": [ "\n", "\n", "If you see this message, it means the renderer has not been properly enabled\n", "for the frontend that you are using. For more information, see\n", "https://altair-viz.github.io/user_guide/troubleshooting.html\n" ] }, "execution_count": 16, "metadata": {}, "output_type": "execute_result" } ], "source": [ "records = linker.prediction_errors_from_labels_column(\n", " \"cluster\",\n", " threshold=0.999,\n", " include_false_negatives=False,\n", " include_false_positives=True,\n", ").as_record_dict()\n", "linker.waterfall_chart(records)" ] }, { "cell_type": "code", "execution_count": 17, "metadata": {}, "outputs": [ { "data": { "application/vnd.vegalite.v4+json": { "$schema": "https://vega.github.io/schema/vega-lite/v5.2.0.json", "config": { "view": { "continuousHeight": 300, "continuousWidth": 400 } }, "data": { "values": [ { "bar_sort_order": 0, "bayes_factor": 0.00013584539607096294, "bayes_factor_description": null, "column_name": "Prior", "comparison_vector_value": null, "label_for_charts": "Starting match weight (prior)", "log2_bayes_factor": -12.845746707461347, "m_probability": null, "record_number": 0, "sql_condition": null, "term_frequency_adjustment": null, "u_probability": null, "value_l": "", "value_r": "" }, { "bar_sort_order": 1, "bayes_factor": 7.060638332116495, "bayes_factor_description": "If comparison level is `jaro_winkler_similarity >= 0.7` then comparison is 7.06 times more likely to be a match", "column_name": "first_name", "comparison_vector_value": 1, "label_for_charts": "jaro_winkler_similarity >= 0.7", "log2_bayes_factor": 2.819798619324904, "m_probability": 0.15851292732703254, "record_number": 0, "sql_condition": "jaro_winkler_similarity(\"first_name_l\", \"first_name_r\") >= 0.7", "term_frequency_adjustment": false, "u_probability": 0.022450226151084662, "value_l": "john", "value_r": "uohn" }, { "bar_sort_order": 2, "bayes_factor": 1, "bayes_factor_description": "If comparison level is `jaro_winkler_similarity >= 0.7` then comparison is 7.06 times more likely to be a match", "column_name": "tf_first_name", "comparison_vector_value": 1, 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"label_for_charts": "All other comparisons", "log2_bayes_factor": -2.3570773320151908, "m_probability": 0.1874387331909623, "record_number": 2, "sql_condition": "ELSE", "term_frequency_adjustment": false, "u_probability": 0.9603074971905469, "value_l": "frances", "value_r": "fanny" }, { "bar_sort_order": 2, "bayes_factor": 1, "bayes_factor_description": "If comparison level is `all other comparisons` then comparison is 5.12 times less likely to be a match", "column_name": "tf_first_name", "comparison_vector_value": 0, "label_for_charts": "All other comparisons", "log2_bayes_factor": 0, "m_probability": 0.1874387331909623, "record_number": 2, "sql_condition": "ELSE", "term_frequency_adjustment": true, "u_probability": 0.9603074971905469, "value_l": "", "value_r": "" }, { "bar_sort_order": 3, "bayes_factor": 2.271079972373538, "bayes_factor_description": "If comparison level is `jaro_winkler_similarity >= 0.7` then comparison is 2.27 times more likely to be a match", "column_name": 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"sql_condition": "\"postcode_fake_l\" = \"postcode_fake_r\"", "term_frequency_adjustment": true, "u_probability": null, "value_l": "lu2 0rj", "value_r": "lu2 0rj" }, { "bar_sort_order": 9, "bayes_factor": 178.56525666145384, "bayes_factor_description": "If comparison level is `exact match` then comparison is 178.57 times more likely to be a match", "column_name": "birth_place", "comparison_vector_value": 1, "label_for_charts": "Exact match", "log2_bayes_factor": 7.480307593200203, "m_probability": 0.8461798450274334, "record_number": 8, "sql_condition": "\"birth_place_l\" = \"birth_place_r\"", "term_frequency_adjustment": false, "u_probability": 0.004738770916851569, "value_l": "luton", "value_r": "luton" }, { "bar_sort_order": 10, "bayes_factor": 6.672648041660898, "bayes_factor_description": "Term frequency adjustment on birth_place makes comparison 6.67 times more likely to be a match", "column_name": "tf_birth_place", "comparison_vector_value": 1, "label_for_charts": "Term freq adjustment on birth_place with weight {cl.tf_adjustment_weight}", "log2_bayes_factor": 2.73825940884993, "m_probability": null, "record_number": 8, "sql_condition": "\"birth_place_l\" = \"birth_place_r\"", "term_frequency_adjustment": true, "u_probability": null, "value_l": "luton", "value_r": "luton" }, { "bar_sort_order": 11, "bayes_factor": 1, "bayes_factor_description": "If comparison level is `null` then comparison is 1.00 times more likely to be a match", "column_name": "occupation", "comparison_vector_value": -1, "label_for_charts": "Null", "log2_bayes_factor": 0, "m_probability": null, "record_number": 8, "sql_condition": "\"occupation_l\" IS NULL OR \"occupation_r\" IS NULL", "term_frequency_adjustment": false, "u_probability": null, "value_l": "nan", "value_r": "nan" }, { "bar_sort_order": 12, "bayes_factor": 1, "bayes_factor_description": "If comparison level is `null` then comparison is 1.00 times more likely to be a match", "column_name": "tf_occupation", "comparison_vector_value": -1, "label_for_charts": "Null", "log2_bayes_factor": 0, "m_probability": null, "record_number": 8, "sql_condition": "\"occupation_l\" IS NULL OR \"occupation_r\" IS NULL", "term_frequency_adjustment": true, "u_probability": null, "value_l": "", "value_r": "" }, { "bar_sort_order": 13, "bayes_factor": 2801.140316562415, "bayes_factor_description": null, "column_name": "Final score", "comparison_vector_value": null, "label_for_charts": "Final score", "log2_bayes_factor": 11.451798538313149, "m_probability": null, "record_number": 8, "sql_condition": null, "term_frequency_adjustment": null, "u_probability": null, "value_l": "", "value_r": "" }, { "bar_sort_order": 0, "bayes_factor": 0.00013584539607096294, "bayes_factor_description": null, "column_name": "Prior", "comparison_vector_value": null, "label_for_charts": "Starting match weight (prior)", "log2_bayes_factor": -12.845746707461347, "m_probability": null, "record_number": 9, "sql_condition": null, "term_frequency_adjustment": null, "u_probability": null, "value_l": "", "value_r": "" }, { "bar_sort_order": 1, "bayes_factor": 44.38069517984217, "bayes_factor_description": "If comparison level is `exact match` then comparison is 44.38 times more likely to be a match", "column_name": "first_name", "comparison_vector_value": 3, "label_for_charts": "Exact match", "log2_bayes_factor": 5.471860360994973, "m_probability": 0.5538271289013507, "record_number": 9, "sql_condition": "\"first_name_l\" = \"first_name_r\"", "term_frequency_adjustment": false, "u_probability": 0.012479009773440873, "value_l": "john", "value_r": "john" }, { "bar_sort_order": 2, "bayes_factor": 0.23038277144235084, "bayes_factor_description": "Term frequency adjustment on first_name makes comparison 4.34 times less likely to be a match", "column_name": "tf_first_name", "comparison_vector_value": 3, "label_for_charts": "Term freq adjustment on first_name with weight {cl.tf_adjustment_weight}", "log2_bayes_factor": -2.117895262152436, "m_probability": null, "record_number": 9, "sql_condition": "\"first_name_l\" = \"first_name_r\"", "term_frequency_adjustment": true, "u_probability": null, "value_l": "john", "value_r": "john" }, { "bar_sort_order": 3, "bayes_factor": 243.4504023819883, "bayes_factor_description": "If comparison level is `jaro_winkler_similarity >= 0.9` then comparison is 243.45 times more likely to be a match", "column_name": "surname", "comparison_vector_value": 2, "label_for_charts": "jaro_winkler_similarity >= 0.9", "log2_bayes_factor": 7.927484074912549, "m_probability": 0.11770557106826374, "record_number": 9, "sql_condition": "jaro_winkler_similarity(\"surname_l\", \"surname_r\") >= 0.9", "term_frequency_adjustment": false, "u_probability": 0.0004834889156748101, "value_l": "rous", "value_r": "rouse" }, { "bar_sort_order": 4, "bayes_factor": 1, "bayes_factor_description": "If comparison level is `jaro_winkler_similarity >= 0.9` then comparison is 243.45 times more likely to be a match", "column_name": "tf_surname", "comparison_vector_value": 2, "label_for_charts": "jaro_winkler_similarity >= 0.9", "log2_bayes_factor": 0, "m_probability": 0.11770557106826374, "record_number": 9, "sql_condition": "jaro_winkler_similarity(\"surname_l\", \"surname_r\") >= 0.9", "term_frequency_adjustment": true, "u_probability": 0.0004834889156748101, "value_l": "", "value_r": "" }, { "bar_sort_order": 5, "bayes_factor": 1, "bayes_factor_description": "If comparison level is `null` then comparison is 1.00 times more likely to be a match", "column_name": "dob", "comparison_vector_value": -1, "label_for_charts": "Null", "log2_bayes_factor": 0, "m_probability": null, "record_number": 9, "sql_condition": "\"dob_l\" IS NULL OR \"dob_r\" IS NULL", "term_frequency_adjustment": false, "u_probability": null, "value_l": "1702-05-21", "value_r": "nan" }, { "bar_sort_order": 6, "bayes_factor": 1, "bayes_factor_description": "If comparison level is `null` then comparison is 1.00 times more likely to be a match", "column_name": "tf_dob", "comparison_vector_value": -1, "label_for_charts": "Null", "log2_bayes_factor": 0, "m_probability": null, "record_number": 9, "sql_condition": "\"dob_l\" IS NULL OR \"dob_r\" IS NULL", "term_frequency_adjustment": true, "u_probability": null, "value_l": "", "value_r": "" }, { "bar_sort_order": 7, "bayes_factor": 0.16864741440075676, "bayes_factor_description": "If comparison level is `all other comparisons` then comparison is 5.93 times less likely to be a match", "column_name": "postcode_fake", "comparison_vector_value": 0, "label_for_charts": "All other comparisons", "log2_bayes_factor": -2.5679178948817563, "m_probability": 0.1685317753661833, "record_number": 9, "sql_condition": "ELSE", "term_frequency_adjustment": false, "u_probability": 0.9993143148088908, "value_l": "cm8 1uu", "value_r": "al2 1dq" }, { "bar_sort_order": 8, "bayes_factor": 1, "bayes_factor_description": "If comparison level is `all other comparisons` then comparison is 5.93 times less likely to be a match", "column_name": "tf_postcode_fake", "comparison_vector_value": 0, "label_for_charts": "All other comparisons", "log2_bayes_factor": 0, "m_probability": 0.1685317753661833, "record_number": 9, "sql_condition": "ELSE", "term_frequency_adjustment": true, "u_probability": 0.9993143148088908, "value_l": "", "value_r": "" }, { "bar_sort_order": 9, "bayes_factor": 1, "bayes_factor_description": "If comparison level is `null` then comparison is 1.00 times more likely to be a match", "column_name": "birth_place", "comparison_vector_value": -1, "label_for_charts": "Null", "log2_bayes_factor": 0, "m_probability": null, "record_number": 9, "sql_condition": "\"birth_place_l\" IS NULL OR \"birth_place_r\" IS NULL", "term_frequency_adjustment": false, "u_probability": null, "value_l": "charlestown", "value_r": "nan" }, { "bar_sort_order": 10, "bayes_factor": 1, "bayes_factor_description": "If comparison level is `null` then comparison is 1.00 times more likely to be a match", "column_name": "tf_birth_place", "comparison_vector_value": -1, "label_for_charts": "Null", "log2_bayes_factor": 0, "m_probability": null, "record_number": 9, "sql_condition": "\"birth_place_l\" IS NULL OR \"birth_place_r\" IS NULL", "term_frequency_adjustment": true, "u_probability": null, "value_l": "", "value_r": "" }, { "bar_sort_order": 11, "bayes_factor": 1, "bayes_factor_description": "If comparison level is `null` then comparison is 1.00 times more likely to be a match", "column_name": "occupation", "comparison_vector_value": -1, "label_for_charts": "Null", "log2_bayes_factor": 0, "m_probability": null, "record_number": 9, "sql_condition": "\"occupation_l\" IS NULL OR \"occupation_r\" IS NULL", "term_frequency_adjustment": false, "u_probability": null, "value_l": "nan", "value_r": "nan" }, { "bar_sort_order": 12, "bayes_factor": 1, "bayes_factor_description": "If comparison level is `null` then comparison is 1.00 times more likely to be a match", "column_name": "tf_occupation", "comparison_vector_value": -1, "label_for_charts": "Null", "log2_bayes_factor": 0, "m_probability": null, "record_number": 9, "sql_condition": "\"occupation_l\" IS NULL OR \"occupation_r\" IS NULL", "term_frequency_adjustment": true, "u_probability": null, "value_l": "", "value_r": "" }, { "bar_sort_order": 13, "bayes_factor": 0.05702682694030709, "bayes_factor_description": null, "column_name": "Final score", "comparison_vector_value": null, "label_for_charts": "Final score", "log2_bayes_factor": -4.132215428588018, "m_probability": null, "record_number": 9, "sql_condition": null, "term_frequency_adjustment": null, "u_probability": null, "value_l": "", "value_r": "" }, { "bar_sort_order": 0, "bayes_factor": 0.00013584539607096294, "bayes_factor_description": null, "column_name": "Prior", "comparison_vector_value": null, "label_for_charts": "Starting match weight (prior)", "log2_bayes_factor": -12.845746707461347, "m_probability": null, "record_number": 10, "sql_condition": null, "term_frequency_adjustment": null, "u_probability": null, "value_l": "", "value_r": "" }, { "bar_sort_order": 1, "bayes_factor": 21.040435692945394, "bayes_factor_description": "If comparison level is `jaro_winkler_similarity >= 0.9` then comparison is 21.04 times more likely to be a match", "column_name": "first_name", "comparison_vector_value": 2, "label_for_charts": "jaro_winkler_similarity >= 0.9", "log2_bayes_factor": 4.39509267430577, "m_probability": 0.10022121058065445, "record_number": 10, "sql_condition": "jaro_winkler_similarity(\"first_name_l\", \"first_name_r\") >= 0.9", "term_frequency_adjustment": false, "u_probability": 0.00476326688492755, "value_l": "herman", "value_r": "hermann" }, { "bar_sort_order": 2, "bayes_factor": 1, "bayes_factor_description": "If comparison level is `jaro_winkler_similarity >= 0.9` then comparison is 21.04 times more likely to be a match", "column_name": "tf_first_name", "comparison_vector_value": 2, "label_for_charts": "jaro_winkler_similarity >= 0.9", "log2_bayes_factor": 0, "m_probability": 0.10022121058065445, "record_number": 10, "sql_condition": "jaro_winkler_similarity(\"first_name_l\", \"first_name_r\") >= 0.9", "term_frequency_adjustment": true, "u_probability": 0.00476326688492755, "value_l": "", "value_r": "" }, { "bar_sort_order": 3, "bayes_factor": 1005.2488816535835, "bayes_factor_description": "If comparison level is `exact match` then comparison is 1,005.25 times more likely to be a match", "column_name": "surname", "comparison_vector_value": 3, "label_for_charts": "Exact match", "log2_bayes_factor": 9.973337015792923, "m_probability": 0.7826404106098656, "record_number": 10, "sql_condition": "\"surname_l\" = \"surname_r\"", "term_frequency_adjustment": false, "u_probability": 0.0007785538734670978, "value_l": "solomon", "value_r": "solomon" }, { "bar_sort_order": 4, "bayes_factor": 3.984725230390547, "bayes_factor_description": "Term frequency adjustment on surname makes comparison 3.98 times more likely to be a match", "column_name": "tf_surname", "comparison_vector_value": 3, "label_for_charts": "Term freq adjustment on surname with weight {cl.tf_adjustment_weight}", "log2_bayes_factor": 1.9944802455658208, "m_probability": null, "record_number": 10, "sql_condition": "\"surname_l\" = \"surname_r\"", "term_frequency_adjustment": true, "u_probability": null, "value_l": "solomon", "value_r": "solomon" }, { "bar_sort_order": 5, "bayes_factor": 16.304853457109424, "bayes_factor_description": "If comparison level is `levenshtein <= 1` then comparison is 16.30 times more likely to be a match", "column_name": "dob", "comparison_vector_value": 2, "label_for_charts": "levenshtein <= 1", "log2_bayes_factor": 4.027229569543101, "m_probability": 0.3414724371674664, "record_number": 10, "sql_condition": "levenshtein(\"dob_l\", \"dob_r\") <= 1", "term_frequency_adjustment": false, "u_probability": 0.020942993328073964, "value_l": "1860-11-15", "value_r": "1880-11-15" }, { "bar_sort_order": 6, "bayes_factor": 1, "bayes_factor_description": "If comparison level is `levenshtein <= 1` then comparison is 16.30 times more likely to be a match", "column_name": "tf_dob", "comparison_vector_value": 2, "label_for_charts": "levenshtein <= 1", "log2_bayes_factor": 0, "m_probability": 0.3414724371674664, "record_number": 10, "sql_condition": "levenshtein(\"dob_l\", \"dob_r\") <= 1", "term_frequency_adjustment": true, "u_probability": 0.020942993328073964, "value_l": "", "value_r": "" }, { "bar_sort_order": 7, "bayes_factor": 0.16864741440075676, "bayes_factor_description": "If comparison level is `all other comparisons` then comparison is 5.93 times less likely to be a match", "column_name": "postcode_fake", "comparison_vector_value": 0, "label_for_charts": "All other comparisons", "log2_bayes_factor": -2.5679178948817563, "m_probability": 0.1685317753661833, "record_number": 10, "sql_condition": "ELSE", "term_frequency_adjustment": false, "u_probability": 0.9993143148088908, "value_l": "rm8 1sw", "value_r": "rm10 7af" }, { "bar_sort_order": 8, "bayes_factor": 1, "bayes_factor_description": "If comparison level is `all other comparisons` then comparison is 5.93 times less likely to be a match", "column_name": "tf_postcode_fake", "comparison_vector_value": 0, "label_for_charts": "All other comparisons", "log2_bayes_factor": 0, "m_probability": 0.1685317753661833, "record_number": 10, "sql_condition": "ELSE", "term_frequency_adjustment": true, "u_probability": 0.9993143148088908, "value_l": "", "value_r": "" }, { "bar_sort_order": 9, "bayes_factor": 178.56525666145384, "bayes_factor_description": "If comparison level is `exact match` then comparison is 178.57 times more likely to be a match", "column_name": "birth_place", "comparison_vector_value": 1, "label_for_charts": "Exact match", "log2_bayes_factor": 7.480307593200203, "m_probability": 0.8461798450274334, "record_number": 10, "sql_condition": "\"birth_place_l\" = \"birth_place_r\"", "term_frequency_adjustment": false, "u_probability": 0.004738770916851569, "value_l": "helmstedt", "value_r": "helmstedt" }, { "bar_sort_order": 10, "bayes_factor": 29.55029847021255, "bayes_factor_description": "Term frequency adjustment on birth_place makes comparison 29.55 times more likely to be a match", "column_name": "tf_birth_place", "comparison_vector_value": 1, "label_for_charts": "Term freq adjustment on birth_place with weight {cl.tf_adjustment_weight}", "log2_bayes_factor": 4.885100797179201, "m_probability": null, "record_number": 10, "sql_condition": "\"birth_place_l\" = \"birth_place_r\"", "term_frequency_adjustment": true, "u_probability": null, "value_l": "helmstedt", "value_r": "helmstedt" }, { "bar_sort_order": 11, "bayes_factor": 1, "bayes_factor_description": "If comparison level is `null` then comparison is 1.00 times more likely to be a match", "column_name": "occupation", "comparison_vector_value": -1, "label_for_charts": "Null", "log2_bayes_factor": 0, "m_probability": null, "record_number": 10, "sql_condition": "\"occupation_l\" IS NULL OR \"occupation_r\" IS NULL", "term_frequency_adjustment": false, "u_probability": null, "value_l": "nan", "value_r": "nan" }, { "bar_sort_order": 12, "bayes_factor": 1, "bayes_factor_description": "If comparison level is `null` then comparison is 1.00 times more likely to be a match", "column_name": "tf_occupation", "comparison_vector_value": -1, "label_for_charts": "Null", "log2_bayes_factor": 0, "m_probability": null, "record_number": 10, "sql_condition": "\"occupation_l\" IS NULL OR \"occupation_r\" IS NULL", "term_frequency_adjustment": true, "u_probability": null, "value_l": "", "value_r": "" }, { "bar_sort_order": 13, "bayes_factor": 166121.96231521183, "bayes_factor_description": null, "column_name": "Final score", "comparison_vector_value": null, "label_for_charts": "Final score", "log2_bayes_factor": 17.341883293243917, "m_probability": null, "record_number": 10, "sql_condition": null, "term_frequency_adjustment": null, "u_probability": null, "value_l": "", "value_r": "" }, { "bar_sort_order": 0, "bayes_factor": 0.00013584539607096294, "bayes_factor_description": null, "column_name": "Prior", "comparison_vector_value": null, "label_for_charts": "Starting match weight (prior)", "log2_bayes_factor": -12.845746707461347, "m_probability": null, "record_number": 11, "sql_condition": null, "term_frequency_adjustment": null, "u_probability": null, "value_l": "", "value_r": "" }, { "bar_sort_order": 1, "bayes_factor": 0.19518616041146056, "bayes_factor_description": "If comparison level is `all other comparisons` then comparison is 5.12 times less likely to be a match", "column_name": "first_name", "comparison_vector_value": 0, "label_for_charts": "All other comparisons", "log2_bayes_factor": -2.3570773320151908, "m_probability": 0.1874387331909623, "record_number": 11, "sql_condition": "ELSE", "term_frequency_adjustment": false, "u_probability": 0.9603074971905469, "value_l": "henry", "value_r": "eric" }, { "bar_sort_order": 2, "bayes_factor": 1, "bayes_factor_description": "If comparison level is `all other comparisons` then comparison is 5.12 times less likely to be a match", "column_name": "tf_first_name", "comparison_vector_value": 0, "label_for_charts": "All other comparisons", "log2_bayes_factor": 0, "m_probability": 0.1874387331909623, "record_number": 11, "sql_condition": "ELSE", "term_frequency_adjustment": true, "u_probability": 0.9603074971905469, "value_l": "", "value_r": "" }, { "bar_sort_order": 3, "bayes_factor": 1005.2488816535835, "bayes_factor_description": "If comparison level is `exact match` then comparison is 1,005.25 times more likely to be a match", "column_name": "surname", "comparison_vector_value": 3, "label_for_charts": "Exact match", "log2_bayes_factor": 9.973337015792923, "m_probability": 0.7826404106098656, "record_number": 11, "sql_condition": "\"surname_l\" = \"surname_r\"", 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4.027229569543101, "m_probability": 0.3414724371674664, "record_number": 11, "sql_condition": "levenshtein(\"dob_l\", \"dob_r\") <= 1", "term_frequency_adjustment": false, "u_probability": 0.020942993328073964, "value_l": "1858-04-01", "value_r": "1858-01-01" }, { "bar_sort_order": 6, "bayes_factor": 1, "bayes_factor_description": "If comparison level is `levenshtein <= 1` then comparison is 16.30 times more likely to be a match", "column_name": "tf_dob", "comparison_vector_value": 2, "label_for_charts": "levenshtein <= 1", "log2_bayes_factor": 0, "m_probability": 0.3414724371674664, "record_number": 11, "sql_condition": "levenshtein(\"dob_l\", \"dob_r\") <= 1", "term_frequency_adjustment": true, "u_probability": 0.020942993328073964, "value_l": "", "value_r": "" }, { "bar_sort_order": 7, "bayes_factor": 5217.787373489478, "bayes_factor_description": "If comparison level is `exact match` then comparison is 5,217.79 times more likely to be a match", "column_name": "postcode_fake", "comparison_vector_value": 2, "label_for_charts": "Exact match", "log2_bayes_factor": 12.349222439729221, "m_probability": 0.6886356891788876, "record_number": 11, "sql_condition": "\"postcode_fake_l\" = \"postcode_fake_r\"", "term_frequency_adjustment": false, "u_probability": 0.0001319784881763688, "value_l": "ip9 2pb", "value_r": "ip9 2pb" }, { "bar_sort_order": 8, "bayes_factor": 0.3974785976216301, "bayes_factor_description": "Term frequency adjustment on postcode_fake makes comparison 2.52 times less likely to be a match", "column_name": "tf_postcode_fake", "comparison_vector_value": 2, "label_for_charts": "Term freq adjustment on postcode_fake with weight {cl.tf_adjustment_weight}", "log2_bayes_factor": -1.3310509148335568, "m_probability": null, "record_number": 11, "sql_condition": "\"postcode_fake_l\" = \"postcode_fake_r\"", "term_frequency_adjustment": true, "u_probability": null, "value_l": "ip9 2pb", "value_r": "ip9 2pb" }, { "bar_sort_order": 9, "bayes_factor": 0.15455254407354788, "bayes_factor_description": "If comparison level is `all other comparisons` then comparison is 6.47 times less likely to be a match", "column_name": "birth_place", "comparison_vector_value": 0, "label_for_charts": "All other comparisons", "log2_bayes_factor": -2.693830692440934, "m_probability": 0.15382015497256674, "record_number": 11, "sql_condition": "ELSE", "term_frequency_adjustment": false, "u_probability": 0.9952612290831484, "value_l": "babergh", "value_r": "tattingstone" }, { "bar_sort_order": 10, "bayes_factor": 1, "bayes_factor_description": "If comparison level is `all other comparisons` then comparison is 6.47 times less likely to be a match", "column_name": "tf_birth_place", "comparison_vector_value": 0, "label_for_charts": "All other comparisons", "log2_bayes_factor": 0, "m_probability": 0.15382015497256674, "record_number": 11, "sql_condition": "ELSE", "term_frequency_adjustment": true, "u_probability": 0.9952612290831484, "value_l": "", "value_r": 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"bayes_factor": 90.8320107148325, "bayes_factor_description": null, "column_name": "Final score", "comparison_vector_value": null, "label_for_charts": "Final score", "log2_bayes_factor": 6.50512891179769, "m_probability": null, "record_number": 11, "sql_condition": null, "term_frequency_adjustment": null, "u_probability": null, "value_l": "", "value_r": "" }, { "bar_sort_order": 0, "bayes_factor": 0.00013584539607096294, "bayes_factor_description": null, "column_name": "Prior", "comparison_vector_value": null, "label_for_charts": "Starting match weight (prior)", "log2_bayes_factor": -12.845746707461347, "m_probability": null, "record_number": 12, "sql_condition": null, "term_frequency_adjustment": null, "u_probability": null, "value_l": "", "value_r": "" }, { "bar_sort_order": 1, "bayes_factor": 21.040435692945394, "bayes_factor_description": "If comparison level is `jaro_winkler_similarity >= 0.9` then comparison is 21.04 times more likely to be a match", "column_name": "first_name", 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"bayes_factor": 1005.2488816535835, "bayes_factor_description": "If comparison level is `exact match` then comparison is 1,005.25 times more likely to be a match", "column_name": "surname", "comparison_vector_value": 3, "label_for_charts": "Exact match", "log2_bayes_factor": 9.973337015792923, "m_probability": 0.7826404106098656, "record_number": 12, "sql_condition": "\"surname_l\" = \"surname_r\"", "term_frequency_adjustment": false, "u_probability": 0.0007785538734670978, "value_l": "skelton", "value_r": "skelton" }, { "bar_sort_order": 4, "bayes_factor": 4.482815884189366, "bayes_factor_description": "Term frequency adjustment on surname makes comparison 4.48 times more likely to be a match", "column_name": "tf_surname", "comparison_vector_value": 3, "label_for_charts": "Term freq adjustment on surname with weight {cl.tf_adjustment_weight}", "log2_bayes_factor": 2.164405247008133, "m_probability": null, "record_number": 12, "sql_condition": "\"surname_l\" = \"surname_r\"", 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then comparison is 7.06 times more likely to be a match", "column_name": "tf_first_name", "comparison_vector_value": 1, "label_for_charts": "jaro_winkler_similarity >= 0.7", "log2_bayes_factor": 0, "m_probability": 0.15851292732703254, "record_number": 14, "sql_condition": "jaro_winkler_similarity(\"first_name_l\", \"first_name_r\") >= 0.7", "term_frequency_adjustment": true, "u_probability": 0.022450226151084662, "value_l": "", "value_r": "" }, { "bar_sort_order": 3, "bayes_factor": 2.271079972373538, "bayes_factor_description": "If comparison level is `jaro_winkler_similarity >= 0.7` then comparison is 2.27 times more likely to be a match", "column_name": "surname", "comparison_vector_value": 1, "label_for_charts": "jaro_winkler_similarity >= 0.7", "log2_bayes_factor": 1.1833785090898485, "m_probability": 0.04031197252970222, "record_number": 14, "sql_condition": "jaro_winkler_similarity(\"surname_l\", \"surname_r\") >= 0.7", "term_frequency_adjustment": false, "u_probability": 0.017750133425540097, "value_l": "wight", "value_r": "white" }, { "bar_sort_order": 4, "bayes_factor": 1, "bayes_factor_description": "If comparison level is `jaro_winkler_similarity >= 0.7` then comparison is 2.27 times more likely to be a match", "column_name": "tf_surname", "comparison_vector_value": 1, "label_for_charts": "jaro_winkler_similarity >= 0.7", "log2_bayes_factor": 0, "m_probability": 0.04031197252970222, "record_number": 14, "sql_condition": "jaro_winkler_similarity(\"surname_l\", \"surname_r\") >= 0.7", "term_frequency_adjustment": true, "u_probability": 0.017750133425540097, "value_l": "", "value_r": "" }, { "bar_sort_order": 5, "bayes_factor": 1, "bayes_factor_description": "If comparison level is `null` then comparison is 1.00 times more likely to be a match", "column_name": "dob", "comparison_vector_value": -1, "label_for_charts": "Null", "log2_bayes_factor": 0, "m_probability": null, "record_number": 14, "sql_condition": "\"dob_l\" IS NULL OR \"dob_r\" IS NULL", "term_frequency_adjustment": false, "u_probability": null, "value_l": "nan", "value_r": "1563-07-01" }, { "bar_sort_order": 6, "bayes_factor": 1, "bayes_factor_description": "If comparison level is `null` then comparison is 1.00 times more likely to be a match", "column_name": "tf_dob", "comparison_vector_value": -1, "label_for_charts": "Null", "log2_bayes_factor": 0, "m_probability": null, "record_number": 14, "sql_condition": "\"dob_l\" IS NULL OR \"dob_r\" IS NULL", "term_frequency_adjustment": true, "u_probability": null, "value_l": "", "value_r": "" }, { "bar_sort_order": 7, "bayes_factor": 5217.787373489478, "bayes_factor_description": "If comparison level is `exact match` then comparison is 5,217.79 times more likely to be a match", "column_name": "postcode_fake", "comparison_vector_value": 2, "label_for_charts": "Exact match", "log2_bayes_factor": 12.349222439729221, "m_probability": 0.6886356891788876, "record_number": 14, "sql_condition": "\"postcode_fake_l\" = \"postcode_fake_r\"", "term_frequency_adjustment": false, "u_probability": 0.0001319784881763688, "value_l": "pe19 5hp", "value_r": "pe19 5hp" }, { "bar_sort_order": 8, "bayes_factor": 0.7381745384401702, "bayes_factor_description": "Term frequency adjustment on postcode_fake makes comparison 1.35 times less likely to be a match", "column_name": "tf_postcode_fake", "comparison_vector_value": 2, "label_for_charts": "Term freq adjustment on postcode_fake with weight {cl.tf_adjustment_weight}", "log2_bayes_factor": -0.43796611875006863, "m_probability": null, "record_number": 14, "sql_condition": "\"postcode_fake_l\" = \"postcode_fake_r\"", "term_frequency_adjustment": true, "u_probability": null, "value_l": "pe19 5hp", "value_r": "pe19 5hp" }, { "bar_sort_order": 9, "bayes_factor": 178.56525666145384, "bayes_factor_description": "If comparison level is `exact match` then comparison is 178.57 times more likely to be a match", "column_name": "birth_place", "comparison_vector_value": 1, "label_for_charts": "Exact match", "log2_bayes_factor": 7.480307593200203, "m_probability": 0.8461798450274334, "record_number": 14, "sql_condition": "\"birth_place_l\" = \"birth_place_r\"", "term_frequency_adjustment": false, "u_probability": 0.004738770916851569, "value_l": "eaton socon", "value_r": "eaton socon" }, { "bar_sort_order": 10, "bayes_factor": 34.475348215247976, "bayes_factor_description": "Term frequency adjustment on birth_place makes comparison 34.48 times more likely to be a match", "column_name": "tf_birth_place", "comparison_vector_value": 1, "label_for_charts": "Term freq adjustment on birth_place with weight {cl.tf_adjustment_weight}", "log2_bayes_factor": 5.107493218515649, "m_probability": null, "record_number": 14, "sql_condition": "\"birth_place_l\" = \"birth_place_r\"", "term_frequency_adjustment": true, "u_probability": null, "value_l": "eaton socon", "value_r": "eaton socon" }, { "bar_sort_order": 11, "bayes_factor": 1, "bayes_factor_description": "If comparison level is `null` then comparison is 1.00 times more likely to be a match", "column_name": "occupation", "comparison_vector_value": -1, "label_for_charts": "Null", "log2_bayes_factor": 0, "m_probability": null, "record_number": 14, "sql_condition": "\"occupation_l\" IS NULL OR \"occupation_r\" IS NULL", "term_frequency_adjustment": false, "u_probability": null, "value_l": "nan", "value_r": "nan" }, { "bar_sort_order": 12, "bayes_factor": 1, "bayes_factor_description": "If comparison level is `null` then comparison is 1.00 times more likely to be a match", "column_name": "tf_occupation", "comparison_vector_value": -1, "label_for_charts": "Null", "log2_bayes_factor": 0, "m_probability": null, "record_number": 14, "sql_condition": "\"occupation_l\" IS NULL OR \"occupation_r\" IS NULL", "term_frequency_adjustment": true, "u_probability": null, "value_l": "", "value_r": "" }, { "bar_sort_order": 13, "bayes_factor": 51650.244343065795, "bayes_factor_description": null, "column_name": "Final score", "comparison_vector_value": null, "label_for_charts": "Final score", "log2_bayes_factor": 15.65648755364841, "m_probability": null, "record_number": 14, "sql_condition": null, "term_frequency_adjustment": null, "u_probability": null, "value_l": "", "value_r": "" }, { "bar_sort_order": 0, "bayes_factor": 0.00013584539607096294, "bayes_factor_description": null, "column_name": "Prior", "comparison_vector_value": null, "label_for_charts": "Starting match weight (prior)", "log2_bayes_factor": -12.845746707461347, "m_probability": null, "record_number": 15, "sql_condition": null, "term_frequency_adjustment": null, "u_probability": null, "value_l": "", "value_r": "" }, { "bar_sort_order": 1, "bayes_factor": 0.19518616041146056, "bayes_factor_description": "If comparison level is `all other comparisons` then comparison is 5.12 times less likely to be a match", "column_name": "first_name", "comparison_vector_value": 0, "label_for_charts": "All other comparisons", "log2_bayes_factor": -2.3570773320151908, "m_probability": 0.1874387331909623, "record_number": 15, "sql_condition": "ELSE", "term_frequency_adjustment": false, "u_probability": 0.9603074971905469, "value_l": "mary", "value_r": "jane" }, { "bar_sort_order": 2, "bayes_factor": 1, "bayes_factor_description": "If comparison level is `all other comparisons` then comparison is 5.12 times less likely to be a match", "column_name": "tf_first_name", "comparison_vector_value": 0, "label_for_charts": "All other comparisons", "log2_bayes_factor": 0, "m_probability": 0.1874387331909623, "record_number": 15, "sql_condition": "ELSE", "term_frequency_adjustment": true, "u_probability": 0.9603074971905469, "value_l": "", "value_r": "" }, { "bar_sort_order": 3, "bayes_factor": 0.06049213288212546, "bayes_factor_description": "If comparison level is `all other comparisons` then comparison is 16.53 times less likely to be a match", "column_name": "surname", "comparison_vector_value": 0, "label_for_charts": "All other comparisons", "log2_bayes_factor": -4.047108660444462, "m_probability": 0.059342045792168535, "record_number": 15, "sql_condition": "ELSE", "term_frequency_adjustment": false, "u_probability": 0.980987823785318, "value_l": "jean", "value_r": "clark" }, { "bar_sort_order": 4, "bayes_factor": 1, "bayes_factor_description": "If comparison level is `all other comparisons` then comparison is 16.53 times less likely to be a match", "column_name": "tf_surname", "comparison_vector_value": 0, "label_for_charts": "All other comparisons", "log2_bayes_factor": 0, "m_probability": 0.059342045792168535, "record_number": 15, "sql_condition": "ELSE", "term_frequency_adjustment": true, "u_probability": 0.980987823785318, "value_l": "", "value_r": "" }, { "bar_sort_order": 5, "bayes_factor": 1, "bayes_factor_description": "If comparison level is `null` then comparison is 1.00 times more likely to be a match", "column_name": "dob", "comparison_vector_value": -1, "label_for_charts": "Null", "log2_bayes_factor": 0, "m_probability": null, "record_number": 15, "sql_condition": "\"dob_l\" IS NULL OR \"dob_r\" IS NULL", "term_frequency_adjustment": false, "u_probability": null, "value_l": "nan", "value_r": "nan" }, { "bar_sort_order": 6, "bayes_factor": 1, "bayes_factor_description": "If comparison level is `null` then comparison is 1.00 times more likely to be a match", "column_name": "tf_dob", "comparison_vector_value": -1, "label_for_charts": "Null", "log2_bayes_factor": 0, "m_probability": null, "record_number": 15, "sql_condition": "\"dob_l\" IS NULL OR \"dob_r\" IS NULL", "term_frequency_adjustment": true, "u_probability": null, "value_l": "", "value_r": "" }, { "bar_sort_order": 7, "bayes_factor": 1, "bayes_factor_description": "If comparison level is `null` then comparison is 1.00 times more likely to be a match", "column_name": "postcode_fake", "comparison_vector_value": -1, "label_for_charts": "Null", "log2_bayes_factor": 0, "m_probability": null, "record_number": 15, "sql_condition": "\"postcode_fake_l\" IS NULL OR \"postcode_fake_r\" IS NULL", "term_frequency_adjustment": false, "u_probability": null, "value_l": "sr2 0sx", "value_r": "nan" }, { "bar_sort_order": 8, "bayes_factor": 1, "bayes_factor_description": "If comparison level is `null` then comparison is 1.00 times more likely to be a match", "column_name": "tf_postcode_fake", "comparison_vector_value": -1, "label_for_charts": "Null", "log2_bayes_factor": 0, "m_probability": null, "record_number": 15, "sql_condition": "\"postcode_fake_l\" IS NULL OR \"postcode_fake_r\" IS NULL", "term_frequency_adjustment": true, "u_probability": null, "value_l": "", "value_r": "" }, { "bar_sort_order": 9, "bayes_factor": 178.56525666145384, "bayes_factor_description": "If comparison level is `exact match` then comparison is 178.57 times more likely to be a match", "column_name": "birth_place", "comparison_vector_value": 1, "label_for_charts": "Exact match", "log2_bayes_factor": 7.480307593200203, "m_probability": 0.8461798450274334, "record_number": 15, "sql_condition": "\"birth_place_l\" = \"birth_place_r\"", "term_frequency_adjustment": false, "u_probability": 0.004738770916851569, "value_l": "sunderland", "value_r": "sunderland" }, { "bar_sort_order": 10, "bayes_factor": 2.1324957658916275, "bayes_factor_description": "Term frequency adjustment on birth_place makes comparison 2.13 times more likely to be a match", "column_name": "tf_birth_place", "comparison_vector_value": 1, "label_for_charts": "Term freq adjustment on birth_place with weight {cl.tf_adjustment_weight}", "log2_bayes_factor": 1.0925428770496777, "m_probability": null, "record_number": 15, "sql_condition": "\"birth_place_l\" = \"birth_place_r\"", "term_frequency_adjustment": true, "u_probability": null, "value_l": "sunderland", "value_r": "sunderland" }, { "bar_sort_order": 11, "bayes_factor": 1, "bayes_factor_description": "If comparison level is `null` then comparison is 1.00 times more likely to be a match", "column_name": "occupation", "comparison_vector_value": -1, "label_for_charts": "Null", "log2_bayes_factor": 0, "m_probability": null, "record_number": 15, "sql_condition": "\"occupation_l\" IS NULL OR \"occupation_r\" IS NULL", "term_frequency_adjustment": false, "u_probability": null, "value_l": "nan", "value_r": "nan" }, { "bar_sort_order": 12, "bayes_factor": 1, "bayes_factor_description": "If comparison level is `null` then comparison is 1.00 times more likely to be a match", "column_name": "tf_occupation", "comparison_vector_value": -1, "label_for_charts": "Null", "log2_bayes_factor": 0, "m_probability": null, "record_number": 15, "sql_condition": "\"occupation_l\" IS NULL OR \"occupation_r\" IS NULL", "term_frequency_adjustment": true, "u_probability": null, "value_l": "", "value_r": "" }, { "bar_sort_order": 13, "bayes_factor": 0.0006107704016646841, "bayes_factor_description": null, "column_name": "Final score", "comparison_vector_value": null, "label_for_charts": "Final score", "log2_bayes_factor": -10.67708222967112, "m_probability": null, "record_number": 15, "sql_condition": null, "term_frequency_adjustment": null, "u_probability": null, "value_l": "", "value_r": "" }, { "bar_sort_order": 0, "bayes_factor": 0.00013584539607096294, "bayes_factor_description": null, "column_name": "Prior", "comparison_vector_value": null, "label_for_charts": "Starting match weight (prior)", "log2_bayes_factor": -12.845746707461347, "m_probability": null, "record_number": 16, "sql_condition": null, "term_frequency_adjustment": null, "u_probability": null, "value_l": "", "value_r": "" }, { "bar_sort_order": 1, "bayes_factor": 0.19518616041146056, "bayes_factor_description": "If comparison level is `all other comparisons` then comparison is 5.12 times less likely to be a match", "column_name": "first_name", "comparison_vector_value": 0, "label_for_charts": "All other comparisons", "log2_bayes_factor": -2.3570773320151908, "m_probability": 0.1874387331909623, "record_number": 16, "sql_condition": "ELSE", "term_frequency_adjustment": false, "u_probability": 0.9603074971905469, "value_l": "carl", "value_r": "c.h." }, { "bar_sort_order": 2, "bayes_factor": 1, "bayes_factor_description": "If comparison level is `all other comparisons` then comparison is 5.12 times less likely to be a match", "column_name": "tf_first_name", "comparison_vector_value": 0, "label_for_charts": "All other comparisons", "log2_bayes_factor": 0, "m_probability": 0.1874387331909623, "record_number": 16, "sql_condition": "ELSE", "term_frequency_adjustment": true, "u_probability": 0.9603074971905469, "value_l": "", "value_r": "" }, { "bar_sort_order": 3, "bayes_factor": 1005.2488816535835, "bayes_factor_description": "If comparison level is `exact match` then comparison is 1,005.25 times more likely to be a match", "column_name": "surname", "comparison_vector_value": 3, "label_for_charts": "Exact match", "log2_bayes_factor": 9.973337015792923, "m_probability": 0.7826404106098656, "record_number": 16, "sql_condition": "\"surname_l\" = \"surname_r\"", "term_frequency_adjustment": false, "u_probability": 0.0007785538734670978, "value_l": "hodges", "value_r": "hodges" }, { "bar_sort_order": 4, "bayes_factor": 3.2602297339559025, "bayes_factor_description": "Term frequency adjustment on surname makes comparison 3.26 times more likely to be a match", "column_name": "tf_surname", "comparison_vector_value": 3, "label_for_charts": "Term freq adjustment on surname with weight {cl.tf_adjustment_weight}", "log2_bayes_factor": 1.7049736283708359, "m_probability": null, "record_number": 16, "sql_condition": "\"surname_l\" = \"surname_r\"", "term_frequency_adjustment": true, "u_probability": null, "value_l": "hodges", "value_r": "hodges" }, { "bar_sort_order": 5, "bayes_factor": 1, "bayes_factor_description": "If comparison level is `null` then comparison is 1.00 times more likely to be a match", "column_name": "dob", "comparison_vector_value": -1, "label_for_charts": "Null", "log2_bayes_factor": 0, "m_probability": null, "record_number": 16, "sql_condition": "\"dob_l\" IS NULL OR \"dob_r\" IS NULL", "term_frequency_adjustment": false, "u_probability": null, "value_l": "nan", "value_r": "1764-01-01" }, { "bar_sort_order": 6, "bayes_factor": 1, "bayes_factor_description": "If comparison level is `null` then comparison is 1.00 times more likely to be a match", "column_name": "tf_dob", "comparison_vector_value": -1, "label_for_charts": "Null", "log2_bayes_factor": 0, "m_probability": null, "record_number": 16, "sql_condition": "\"dob_l\" IS NULL OR \"dob_r\" IS NULL", "term_frequency_adjustment": true, "u_probability": null, "value_l": "", "value_r": "" }, { "bar_sort_order": 7, "bayes_factor": 5217.787373489478, "bayes_factor_description": "If comparison level is `exact match` then comparison is 5,217.79 times more likely to be a match", "column_name": "postcode_fake", "comparison_vector_value": 2, "label_for_charts": "Exact match", "log2_bayes_factor": 12.349222439729221, "m_probability": 0.6886356891788876, "record_number": 16, "sql_condition": "\"postcode_fake_l\" = \"postcode_fake_r\"", "term_frequency_adjustment": false, "u_probability": 0.0001319784881763688, "value_l": "wc1b 5ba", "value_r": "wc1b 5ba" }, { "bar_sort_order": 8, "bayes_factor": 0.4306018140900993, "bayes_factor_description": "Term frequency adjustment on postcode_fake makes comparison 2.32 times less likely to be a match", "column_name": "tf_postcode_fake", "comparison_vector_value": 2, "label_for_charts": "Term freq adjustment on postcode_fake with weight {cl.tf_adjustment_weight}", "log2_bayes_factor": -1.2155736974136206, "m_probability": null, "record_number": 16, "sql_condition": "\"postcode_fake_l\" = \"postcode_fake_r\"", "term_frequency_adjustment": true, "u_probability": null, "value_l": "wc1b 5ba", "value_r": "wc1b 5ba" }, { "bar_sort_order": 9, "bayes_factor": 178.56525666145384, "bayes_factor_description": "If comparison level is `exact match` then comparison is 178.57 times more likely to be a match", "column_name": "birth_place", "comparison_vector_value": 1, "label_for_charts": "Exact match", "log2_bayes_factor": 7.480307593200203, "m_probability": 0.8461798450274334, "record_number": 16, "sql_condition": "\"birth_place_l\" = \"birth_place_r\"", "term_frequency_adjustment": false, "u_probability": 0.004738770916851569, "value_l": "london", "value_r": "london" }, { "bar_sort_order": 10, "bayes_factor": 0.08908358711950382, "bayes_factor_description": "Term frequency adjustment on birth_place makes comparison 11.23 times less likely to be a match", "column_name": "tf_birth_place", "comparison_vector_value": 1, "label_for_charts": "Term freq adjustment on birth_place with weight {cl.tf_adjustment_weight}", "log2_bayes_factor": -3.488696537628761, "m_probability": null, "record_number": 16, "sql_condition": "\"birth_place_l\" = \"birth_place_r\"", "term_frequency_adjustment": true, "u_probability": null, "value_l": "london", "value_r": "london" }, { "bar_sort_order": 11, "bayes_factor": 1, "bayes_factor_description": "If comparison level is `null` then comparison is 1.00 times more likely to be a match", "column_name": "occupation", "comparison_vector_value": -1, "label_for_charts": "Null", "log2_bayes_factor": 0, "m_probability": null, "record_number": 16, "sql_condition": "\"occupation_l\" IS NULL OR \"occupation_r\" IS NULL", "term_frequency_adjustment": false, "u_probability": null, "value_l": "nan", "value_r": "nan" }, { "bar_sort_order": 12, "bayes_factor": 1, "bayes_factor_description": "If comparison level is `null` then comparison is 1.00 times more likely to be a match", "column_name": "tf_occupation", "comparison_vector_value": -1, "label_for_charts": "Null", "log2_bayes_factor": 0, "m_probability": null, "record_number": 16, "sql_condition": "\"occupation_l\" IS NULL OR \"occupation_r\" IS NULL", "term_frequency_adjustment": true, "u_probability": null, "value_l": "", "value_r": "" }, { "bar_sort_order": 13, "bayes_factor": 3105.793947423447, "bayes_factor_description": null, "column_name": "Final score", "comparison_vector_value": null, "label_for_charts": "Final score", "log2_bayes_factor": 11.600746402574263, "m_probability": null, "record_number": 16, "sql_condition": null, "term_frequency_adjustment": null, "u_probability": null, "value_l": "", "value_r": "" }, { "bar_sort_order": 0, "bayes_factor": 0.00013584539607096294, "bayes_factor_description": null, "column_name": "Prior", "comparison_vector_value": null, "label_for_charts": "Starting match weight (prior)", "log2_bayes_factor": -12.845746707461347, "m_probability": null, "record_number": 17, "sql_condition": null, "term_frequency_adjustment": null, "u_probability": null, "value_l": "", "value_r": "" }, { "bar_sort_order": 1, "bayes_factor": 7.060638332116495, "bayes_factor_description": "If comparison level is 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-12.845746707461347, "m_probability": null, "record_number": 18, "sql_condition": null, "term_frequency_adjustment": null, "u_probability": null, "value_l": "", "value_r": "" }, { "bar_sort_order": 1, "bayes_factor": 21.040435692945394, "bayes_factor_description": "If comparison level is `jaro_winkler_similarity >= 0.9` then comparison is 21.04 times more likely to be a match", "column_name": "first_name", "comparison_vector_value": 2, "label_for_charts": "jaro_winkler_similarity >= 0.9", "log2_bayes_factor": 4.39509267430577, "m_probability": 0.10022121058065445, "record_number": 18, "sql_condition": "jaro_winkler_similarity(\"first_name_l\", \"first_name_r\") >= 0.9", "term_frequency_adjustment": false, "u_probability": 0.00476326688492755, "value_l": "findlay", "value_r": "finlay" }, { "bar_sort_order": 2, "bayes_factor": 1, "bayes_factor_description": "If comparison level is `jaro_winkler_similarity >= 0.9` then comparison is 21.04 times more likely to be a match", "column_name": 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}, { "bar_sort_order": 6, "bayes_factor": 1, "bayes_factor_description": "If comparison level is `null` then comparison is 1.00 times more likely to be a match", "column_name": "tf_dob", "comparison_vector_value": -1, "label_for_charts": "Null", "log2_bayes_factor": 0, "m_probability": null, "record_number": 19, "sql_condition": "\"dob_l\" IS NULL OR \"dob_r\" IS NULL", "term_frequency_adjustment": true, "u_probability": null, "value_l": "", "value_r": "" }, { "bar_sort_order": 7, "bayes_factor": 0.16864741440075676, "bayes_factor_description": "If comparison level is `all other comparisons` then comparison is 5.93 times less likely to be a match", "column_name": "postcode_fake", "comparison_vector_value": 0, "label_for_charts": "All other comparisons", "log2_bayes_factor": -2.5679178948817563, "m_probability": 0.1685317753661833, "record_number": 19, "sql_condition": "ELSE", "term_frequency_adjustment": false, "u_probability": 0.9993143148088908, "value_l": "wa7 6pb", "value_r": "bl8 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"bayes_factor": 1, "bayes_factor_description": "If comparison level is `null` then comparison is 1.00 times more likely to be a match", "column_name": "tf_occupation", "comparison_vector_value": -1, "label_for_charts": "Null", "log2_bayes_factor": 0, "m_probability": null, "record_number": 19, "sql_condition": "\"occupation_l\" IS NULL OR \"occupation_r\" IS NULL", "term_frequency_adjustment": true, "u_probability": null, "value_l": "", "value_r": "" }, { "bar_sort_order": 13, "bayes_factor": 0.01612085680325911, "bayes_factor_description": null, "column_name": "Final score", "comparison_vector_value": null, "label_for_charts": "Final score", "log2_bayes_factor": -5.9549277664446, "m_probability": null, "record_number": 19, "sql_condition": null, "term_frequency_adjustment": null, "u_probability": null, "value_l": "", "value_r": "" }, { "bar_sort_order": 0, "bayes_factor": 0.00013584539607096294, "bayes_factor_description": null, "column_name": "Prior", "comparison_vector_value": null, 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"comparison_vector_value": 0, "label_for_charts": "All other comparisons", "log2_bayes_factor": 0, "m_probability": 0.1874387331909623, "record_number": 20, "sql_condition": "ELSE", "term_frequency_adjustment": true, "u_probability": 0.9603074971905469, "value_l": "", "value_r": "" }, { "bar_sort_order": 3, "bayes_factor": 1005.2488816535835, "bayes_factor_description": "If comparison level is `exact match` then comparison is 1,005.25 times more likely to be a match", "column_name": "surname", "comparison_vector_value": 3, "label_for_charts": "Exact match", "log2_bayes_factor": 9.973337015792923, "m_probability": 0.7826404106098656, "record_number": 20, "sql_condition": "\"surname_l\" = \"surname_r\"", "term_frequency_adjustment": false, "u_probability": 0.0007785538734670978, "value_l": "sharman-crawford", "value_r": "sharman-crawford" }, { "bar_sort_order": 4, "bayes_factor": 3.5862527073514925, "bayes_factor_description": "Term frequency adjustment on surname makes comparison 3.59 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level is `null` then comparison is 1.00 times more likely to be a match", "column_name": "tf_dob", "comparison_vector_value": -1, "label_for_charts": "Null", "log2_bayes_factor": 0, "m_probability": null, "record_number": 20, "sql_condition": "\"dob_l\" IS NULL OR \"dob_r\" IS NULL", "term_frequency_adjustment": true, "u_probability": null, "value_l": "", "value_r": "" }, { "bar_sort_order": 7, "bayes_factor": 5217.787373489478, "bayes_factor_description": "If comparison level is `exact match` then comparison is 5,217.79 times more likely to be a match", "column_name": "postcode_fake", "comparison_vector_value": 2, "label_for_charts": "Exact match", "log2_bayes_factor": 12.349222439729221, "m_probability": 0.6886356891788876, "record_number": 20, "sql_condition": "\"postcode_fake_l\" = \"postcode_fake_r\"", "term_frequency_adjustment": false, "u_probability": 0.0001319784881763688, "value_l": "bl8 1ba", "value_r": "bl8 1ba" }, { "bar_sort_order": 8, "bayes_factor": 0.6459027211351489, "bayes_factor_description": "Term frequency adjustment on postcode_fake makes comparison 1.55 times less likely to be a match", "column_name": "tf_postcode_fake", "comparison_vector_value": 2, "label_for_charts": "Term freq adjustment on postcode_fake with weight {cl.tf_adjustment_weight}", "log2_bayes_factor": -0.6306111966924646, "m_probability": null, "record_number": 20, "sql_condition": "\"postcode_fake_l\" = \"postcode_fake_r\"", "term_frequency_adjustment": true, "u_probability": null, "value_l": "bl8 1ba", "value_r": "bl8 1ba" }, { "bar_sort_order": 9, "bayes_factor": 1, "bayes_factor_description": "If comparison level is `null` then comparison is 1.00 times more likely to be a match", "column_name": "birth_place", "comparison_vector_value": -1, "label_for_charts": "Null", "log2_bayes_factor": 0, "m_probability": null, "record_number": 20, "sql_condition": "\"birth_place_l\" IS NULL OR \"birth_place_r\" IS NULL", "term_frequency_adjustment": false, "u_probability": null, "value_l": "bury", "value_r": "nan" }, { "bar_sort_order": 10, "bayes_factor": 1, "bayes_factor_description": "If comparison level is `null` then comparison is 1.00 times more likely to be a match", "column_name": "tf_birth_place", "comparison_vector_value": -1, "label_for_charts": "Null", "log2_bayes_factor": 0, "m_probability": null, "record_number": 20, "sql_condition": "\"birth_place_l\" IS NULL OR \"birth_place_r\" IS NULL", "term_frequency_adjustment": true, "u_probability": null, "value_l": "", "value_r": "" }, { "bar_sort_order": 11, "bayes_factor": 1, "bayes_factor_description": "If comparison level is `null` then comparison is 1.00 times more likely to be a match", "column_name": "occupation", "comparison_vector_value": -1, "label_for_charts": "Null", "log2_bayes_factor": 0, "m_probability": null, "record_number": 20, "sql_condition": "\"occupation_l\" IS NULL OR \"occupation_r\" IS NULL", "term_frequency_adjustment": false, "u_probability": null, "value_l": "nan", "value_r": "nan" }, { "bar_sort_order": 12, "bayes_factor": 1, "bayes_factor_description": "If comparison level is `null` then comparison is 1.00 times more likely to be a match", "column_name": "tf_occupation", "comparison_vector_value": -1, "label_for_charts": "Null", "log2_bayes_factor": 0, "m_probability": null, "record_number": 20, "sql_condition": "\"occupation_l\" IS NULL OR \"occupation_r\" IS NULL", "term_frequency_adjustment": true, "u_probability": null, "value_l": "", "value_r": "" }, { "bar_sort_order": 13, "bayes_factor": 322.15281064275143, "bayes_factor_description": null, "column_name": "Final score", "comparison_vector_value": null, "label_for_charts": "Final score", "log2_bayes_factor": 8.331601371473912, "m_probability": null, "record_number": 20, "sql_condition": null, "term_frequency_adjustment": null, "u_probability": null, "value_l": "", "value_r": "" }, { "bar_sort_order": 0, "bayes_factor": 0.00013584539607096294, "bayes_factor_description": null, "column_name": "Prior", "comparison_vector_value": null, "label_for_charts": "Starting match weight (prior)", "log2_bayes_factor": -12.845746707461347, "m_probability": null, "record_number": 21, "sql_condition": null, "term_frequency_adjustment": null, "u_probability": null, "value_l": "", "value_r": "" }, { "bar_sort_order": 1, "bayes_factor": 7.060638332116495, "bayes_factor_description": "If comparison level is `jaro_winkler_similarity >= 0.7` then comparison is 7.06 times more likely to be a match", "column_name": "first_name", "comparison_vector_value": 1, "label_for_charts": "jaro_winkler_similarity >= 0.7", "log2_bayes_factor": 2.819798619324904, "m_probability": 0.15851292732703254, "record_number": 21, "sql_condition": "jaro_winkler_similarity(\"first_name_l\", \"first_name_r\") >= 0.7", "term_frequency_adjustment": false, "u_probability": 0.022450226151084662, "value_l": "thomas", "value_r": "tom" }, { "bar_sort_order": 2, "bayes_factor": 1, "bayes_factor_description": "If comparison level is `jaro_winkler_similarity >= 0.7` then comparison is 7.06 times more likely to be a match", "column_name": "tf_first_name", "comparison_vector_value": 1, "label_for_charts": "jaro_winkler_similarity >= 0.7", "log2_bayes_factor": 0, "m_probability": 0.15851292732703254, "record_number": 21, "sql_condition": "jaro_winkler_similarity(\"first_name_l\", \"first_name_r\") >= 0.7", "term_frequency_adjustment": true, "u_probability": 0.022450226151084662, "value_l": "", "value_r": "" }, { "bar_sort_order": 3, "bayes_factor": 2.271079972373538, "bayes_factor_description": "If comparison level is `jaro_winkler_similarity >= 0.7` then comparison is 2.27 times more likely to be a match", "column_name": "surname", "comparison_vector_value": 1, "label_for_charts": "jaro_winkler_similarity >= 0.7", "log2_bayes_factor": 1.1833785090898485, "m_probability": 0.04031197252970222, "record_number": 21, "sql_condition": "jaro_winkler_similarity(\"surname_l\", \"surname_r\") >= 0.7", "term_frequency_adjustment": false, "u_probability": 0.017750133425540097, "value_l": "ray", "value_r": "raymond" }, { "bar_sort_order": 4, "bayes_factor": 1, "bayes_factor_description": "If comparison level is `jaro_winkler_similarity >= 0.7` then comparison is 2.27 times more likely to be a match", "column_name": "tf_surname", "comparison_vector_value": 1, "label_for_charts": "jaro_winkler_similarity >= 0.7", "log2_bayes_factor": 0, "m_probability": 0.04031197252970222, "record_number": 21, "sql_condition": "jaro_winkler_similarity(\"surname_l\", \"surname_r\") >= 0.7", "term_frequency_adjustment": true, "u_probability": 0.017750133425540097, "value_l": "", "value_r": "" }, { "bar_sort_order": 5, "bayes_factor": 1, "bayes_factor_description": "If comparison level is `null` then comparison is 1.00 times more likely to be a match", "column_name": "dob", "comparison_vector_value": -1, "label_for_charts": "Null", "log2_bayes_factor": 0, "m_probability": null, "record_number": 21, "sql_condition": "\"dob_l\" IS NULL OR \"dob_r\" IS NULL", "term_frequency_adjustment": false, "u_probability": null, "value_l": "nan", "value_r": "1780-01-01" }, { "bar_sort_order": 6, "bayes_factor": 1, "bayes_factor_description": "If comparison level is `null` then comparison is 1.00 times more likely to be a match", "column_name": "tf_dob", "comparison_vector_value": -1, "label_for_charts": "Null", "log2_bayes_factor": 0, "m_probability": null, "record_number": 21, "sql_condition": "\"dob_l\" IS NULL OR \"dob_r\" IS NULL", "term_frequency_adjustment": true, "u_probability": null, "value_l": "", "value_r": "" }, { "bar_sort_order": 7, "bayes_factor": 1, "bayes_factor_description": "If comparison level is `null` then comparison is 1.00 times more likely to be a match", "column_name": "postcode_fake", "comparison_vector_value": -1, "label_for_charts": "Null", "log2_bayes_factor": 0, "m_probability": null, "record_number": 21, "sql_condition": "\"postcode_fake_l\" IS NULL OR \"postcode_fake_r\" IS NULL", "term_frequency_adjustment": false, "u_probability": null, "value_l": "wa9 3qa", "value_r": "nan" }, { "bar_sort_order": 8, "bayes_factor": 1, "bayes_factor_description": "If comparison level is `null` then comparison is 1.00 times more likely to be a match", "column_name": "tf_postcode_fake", "comparison_vector_value": -1, "label_for_charts": "Null", "log2_bayes_factor": 0, "m_probability": null, "record_number": 21, "sql_condition": "\"postcode_fake_l\" IS NULL OR \"postcode_fake_r\" IS NULL", "term_frequency_adjustment": true, "u_probability": null, "value_l": "", "value_r": "" }, { "bar_sort_order": 9, "bayes_factor": 1, "bayes_factor_description": "If comparison level is `null` then comparison is 1.00 times more likely to be a match", "column_name": "birth_place", "comparison_vector_value": -1, "label_for_charts": "Null", "log2_bayes_factor": 0, "m_probability": null, "record_number": 21, "sql_condition": "\"birth_place_l\" IS NULL OR \"birth_place_r\" IS NULL", "term_frequency_adjustment": false, "u_probability": null, "value_l": "st. helens", "value_r": "nan" }, { "bar_sort_order": 10, "bayes_factor": 1, "bayes_factor_description": "If comparison level is `null` then comparison is 1.00 times more likely to be a match", "column_name": "tf_birth_place", "comparison_vector_value": -1, "label_for_charts": "Null", "log2_bayes_factor": 0, "m_probability": null, "record_number": 21, "sql_condition": "\"birth_place_l\" IS NULL OR \"birth_place_r\" IS NULL", "term_frequency_adjustment": true, "u_probability": null, "value_l": "", "value_r": "" }, { "bar_sort_order": 11, "bayes_factor": 1, "bayes_factor_description": "If comparison level is `null` then comparison is 1.00 times more likely to be a match", "column_name": "occupation", "comparison_vector_value": -1, "label_for_charts": "Null", "log2_bayes_factor": 0, "m_probability": null, "record_number": 21, "sql_condition": "\"occupation_l\" IS NULL OR \"occupation_r\" IS NULL", "term_frequency_adjustment": false, "u_probability": null, "value_l": "nan", "value_r": "nan" }, { "bar_sort_order": 12, "bayes_factor": 1, "bayes_factor_description": "If comparison level is `null` then comparison is 1.00 times more likely to be a match", "column_name": "tf_occupation", "comparison_vector_value": -1, "label_for_charts": "Null", "log2_bayes_factor": 0, "m_probability": null, "record_number": 21, "sql_condition": "\"occupation_l\" IS NULL OR \"occupation_r\" IS NULL", "term_frequency_adjustment": true, "u_probability": null, "value_l": "", "value_r": "" }, { "bar_sort_order": 13, "bayes_factor": 0.002178318189509762, "bayes_factor_description": null, "column_name": "Final score", "comparison_vector_value": null, "label_for_charts": "Final score", "log2_bayes_factor": -8.842569579046595, "m_probability": null, "record_number": 21, "sql_condition": null, "term_frequency_adjustment": null, "u_probability": null, "value_l": "", "value_r": "" }, { "bar_sort_order": 0, "bayes_factor": 0.00013584539607096294, "bayes_factor_description": null, "column_name": "Prior", "comparison_vector_value": null, "label_for_charts": "Starting match weight (prior)", "log2_bayes_factor": -12.845746707461347, "m_probability": null, "record_number": 22, "sql_condition": null, "term_frequency_adjustment": null, "u_probability": null, "value_l": "", "value_r": "" }, { "bar_sort_order": 1, "bayes_factor": 21.040435692945394, "bayes_factor_description": "If comparison level is `jaro_winkler_similarity >= 0.9` then comparison is 21.04 times more likely to be a match", "column_name": "first_name", "comparison_vector_value": 2, "label_for_charts": "jaro_winkler_similarity >= 0.9", "log2_bayes_factor": 4.39509267430577, "m_probability": 0.10022121058065445, "record_number": 22, "sql_condition": "jaro_winkler_similarity(\"first_name_l\", \"first_name_r\") >= 0.9", "term_frequency_adjustment": false, "u_probability": 0.00476326688492755, "value_l": "william", "value_r": "willie" 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"sql_condition": "jaro_winkler_similarity(\"surname_l\", \"surname_r\") >= 0.9", "term_frequency_adjustment": false, "u_probability": 0.0004834889156748101, "value_l": "pasteur", "value_r": "pastore" }, { "bar_sort_order": 4, "bayes_factor": 1, "bayes_factor_description": "If comparison level is `jaro_winkler_similarity >= 0.9` then comparison is 243.45 times more likely to be a match", "column_name": "tf_surname", "comparison_vector_value": 2, "label_for_charts": "jaro_winkler_similarity >= 0.9", "log2_bayes_factor": 0, "m_probability": 0.11770557106826374, "record_number": 22, "sql_condition": "jaro_winkler_similarity(\"surname_l\", \"surname_r\") >= 0.9", "term_frequency_adjustment": true, "u_probability": 0.0004834889156748101, "value_l": "", "value_r": "" }, { "bar_sort_order": 5, "bayes_factor": 1, "bayes_factor_description": "If comparison level is `null` then comparison is 1.00 times more likely to be a match", "column_name": "dob", "comparison_vector_value": -1, "label_for_charts": "Null", "log2_bayes_factor": 0, "m_probability": null, "record_number": 22, "sql_condition": "\"dob_l\" IS NULL OR \"dob_r\" IS NULL", "term_frequency_adjustment": false, "u_probability": null, "value_l": "nan", "value_r": "nan" }, { "bar_sort_order": 6, "bayes_factor": 1, "bayes_factor_description": "If comparison level is `null` then comparison is 1.00 times more likely to be a match", "column_name": "tf_dob", "comparison_vector_value": -1, "label_for_charts": "Null", "log2_bayes_factor": 0, "m_probability": null, "record_number": 22, "sql_condition": "\"dob_l\" IS NULL OR \"dob_r\" IS NULL", "term_frequency_adjustment": true, "u_probability": null, "value_l": "", "value_r": "" }, { "bar_sort_order": 7, "bayes_factor": 1, "bayes_factor_description": "If comparison level is `null` then comparison is 1.00 times more likely to be a match", "column_name": "postcode_fake", "comparison_vector_value": -1, "label_for_charts": "Null", "log2_bayes_factor": 0, "m_probability": null, "record_number": 22, "sql_condition": "\"postcode_fake_l\" IS NULL OR \"postcode_fake_r\" IS NULL", "term_frequency_adjustment": false, "u_probability": null, "value_l": "b19 2nj", "value_r": "nan" }, { "bar_sort_order": 8, "bayes_factor": 1, "bayes_factor_description": "If comparison level is `null` then comparison is 1.00 times more likely to be a match", "column_name": "tf_postcode_fake", "comparison_vector_value": -1, "label_for_charts": "Null", "log2_bayes_factor": 0, "m_probability": null, "record_number": 22, "sql_condition": "\"postcode_fake_l\" IS NULL OR \"postcode_fake_r\" IS NULL", "term_frequency_adjustment": true, "u_probability": null, "value_l": "", "value_r": "" }, { "bar_sort_order": 9, "bayes_factor": 1, "bayes_factor_description": "If comparison level is `null` then comparison is 1.00 times more likely to be a match", "column_name": "birth_place", "comparison_vector_value": -1, "label_for_charts": "Null", "log2_bayes_factor": 0, "m_probability": null, "record_number": 22, "sql_condition": "\"birth_place_l\" IS NULL OR \"birth_place_r\" IS NULL", "term_frequency_adjustment": false, "u_probability": null, "value_l": "birmingham", "value_r": "nan" }, { "bar_sort_order": 10, "bayes_factor": 1, "bayes_factor_description": "If comparison level is `null` then comparison is 1.00 times more likely to be a match", "column_name": "tf_birth_place", "comparison_vector_value": -1, "label_for_charts": "Null", "log2_bayes_factor": 0, "m_probability": null, "record_number": 22, "sql_condition": "\"birth_place_l\" IS NULL OR \"birth_place_r\" IS NULL", "term_frequency_adjustment": true, "u_probability": null, "value_l": "", "value_r": "" }, { "bar_sort_order": 11, "bayes_factor": 1, "bayes_factor_description": "If comparison level is `null` then comparison is 1.00 times more likely to be a match", "column_name": "occupation", "comparison_vector_value": -1, "label_for_charts": "Null", "log2_bayes_factor": 0, "m_probability": null, "record_number": 22, "sql_condition": "\"occupation_l\" IS NULL OR \"occupation_r\" IS NULL", "term_frequency_adjustment": false, "u_probability": null, "value_l": "nan", "value_r": "nan" }, { "bar_sort_order": 12, "bayes_factor": 1, "bayes_factor_description": "If comparison level is `null` then comparison is 1.00 times more likely to be a match", "column_name": "tf_occupation", "comparison_vector_value": -1, "label_for_charts": "Null", "log2_bayes_factor": 0, "m_probability": null, "record_number": 22, "sql_condition": "\"occupation_l\" IS NULL OR \"occupation_r\" IS NULL", "term_frequency_adjustment": true, "u_probability": null, "value_l": "", "value_r": "" }, { "bar_sort_order": 13, "bayes_factor": 0.6958412167628851, "bayes_factor_description": null, "column_name": "Final score", "comparison_vector_value": null, "label_for_charts": "Final score", "log2_bayes_factor": -0.5231699582430276, "m_probability": null, "record_number": 22, "sql_condition": null, 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"bayes_factor": 0.6520459467911804, "bayes_factor_description": "Term frequency adjustment on surname makes comparison 1.53 times less likely to be a match", "column_name": "tf_surname", "comparison_vector_value": 3, "label_for_charts": "Term freq adjustment on surname with weight {cl.tf_adjustment_weight}", "log2_bayes_factor": -0.6169544665165265, "m_probability": null, "record_number": 26, "sql_condition": "\"surname_l\" = \"surname_r\"", "term_frequency_adjustment": true, "u_probability": null, "value_l": "dobson", "value_r": "dobson" }, { "bar_sort_order": 5, "bayes_factor": 1, "bayes_factor_description": "If comparison level is `null` then comparison is 1.00 times more likely to be a match", "column_name": "dob", "comparison_vector_value": -1, "label_for_charts": "Null", "log2_bayes_factor": 0, "m_probability": null, "record_number": 26, "sql_condition": "\"dob_l\" IS NULL OR \"dob_r\" IS NULL", "term_frequency_adjustment": false, "u_probability": null, "value_l": "nan", "value_r": "1858-01-01" }, { "bar_sort_order": 6, "bayes_factor": 1, "bayes_factor_description": "If comparison level is `null` then comparison is 1.00 times more likely to be a match", "column_name": "tf_dob", "comparison_vector_value": -1, "label_for_charts": "Null", "log2_bayes_factor": 0, "m_probability": null, "record_number": 26, "sql_condition": "\"dob_l\" IS NULL OR \"dob_r\" IS NULL", "term_frequency_adjustment": true, "u_probability": null, "value_l": "", "value_r": "" }, { "bar_sort_order": 7, "bayes_factor": 5217.787373489478, "bayes_factor_description": "If comparison level is `exact match` then comparison is 5,217.79 times more likely to be a match", "column_name": "postcode_fake", "comparison_vector_value": 2, "label_for_charts": "Exact match", "log2_bayes_factor": 12.349222439729221, "m_probability": 0.6886356891788876, "record_number": 26, "sql_condition": "\"postcode_fake_l\" = \"postcode_fake_r\"", "term_frequency_adjustment": false, "u_probability": 0.0001319784881763688, "value_l": "ip9 2pb", "value_r": "ip9 2pb" }, { "bar_sort_order": 8, "bayes_factor": 0.3974785976216301, "bayes_factor_description": "Term frequency adjustment on postcode_fake makes comparison 2.52 times less likely to be a match", "column_name": "tf_postcode_fake", "comparison_vector_value": 2, "label_for_charts": "Term freq adjustment on postcode_fake with weight {cl.tf_adjustment_weight}", "log2_bayes_factor": -1.3310509148335568, "m_probability": null, "record_number": 26, "sql_condition": "\"postcode_fake_l\" = \"postcode_fake_r\"", "term_frequency_adjustment": true, "u_probability": null, "value_l": "ip9 2pb", "value_r": "ip9 2pb" }, { "bar_sort_order": 9, "bayes_factor": 0.15455254407354788, "bayes_factor_description": "If comparison level is `all other comparisons` then comparison is 6.47 times less likely to be a match", "column_name": "birth_place", "comparison_vector_value": 0, "label_for_charts": "All other comparisons", "log2_bayes_factor": -2.693830692440934, "m_probability": 0.15382015497256674, "record_number": 26, "sql_condition": "ELSE", "term_frequency_adjustment": false, "u_probability": 0.9952612290831484, "value_l": "babergh", "value_r": "tattingstone" }, { "bar_sort_order": 10, "bayes_factor": 1, "bayes_factor_description": "If comparison level is `all other comparisons` then comparison is 6.47 times less likely to be a match", "column_name": "tf_birth_place", "comparison_vector_value": 0, "label_for_charts": "All other comparisons", "log2_bayes_factor": 0, "m_probability": 0.15382015497256674, "record_number": 26, "sql_condition": "ELSE", "term_frequency_adjustment": true, "u_probability": 0.9952612290831484, "value_l": "", "value_r": "" }, { "bar_sort_order": 11, "bayes_factor": 1, "bayes_factor_description": "If comparison level is `null` then comparison is 1.00 times more likely to be a match", "column_name": "occupation", "comparison_vector_value": -1, "label_for_charts": "Null", "log2_bayes_factor": 0, "m_probability": null, "record_number": 26, "sql_condition": "\"occupation_l\" IS NULL OR \"occupation_r\" IS NULL", "term_frequency_adjustment": false, "u_probability": null, "value_l": "nan", "value_r": "nan" }, { "bar_sort_order": 12, "bayes_factor": 1, "bayes_factor_description": "If comparison level is `null` then comparison is 1.00 times more likely to be a match", "column_name": "tf_occupation", "comparison_vector_value": -1, "label_for_charts": "Null", "log2_bayes_factor": 0, "m_probability": null, "record_number": 26, "sql_condition": "\"occupation_l\" IS NULL OR \"occupation_r\" IS NULL", "term_frequency_adjustment": true, "u_probability": null, "value_l": "", "value_r": "" }, { "bar_sort_order": 13, "bayes_factor": 5.5708572268846055, "bayes_factor_description": null, "column_name": "Final score", "comparison_vector_value": null, "label_for_charts": "Final score", "log2_bayes_factor": 2.4778993422545885, "m_probability": null, "record_number": 26, "sql_condition": null, "term_frequency_adjustment": null, "u_probability": null, "value_l": "", "value_r": "" }, { "bar_sort_order": 0, "bayes_factor": 0.00013584539607096294, "bayes_factor_description": null, "column_name": "Prior", "comparison_vector_value": null, "label_for_charts": "Starting match weight (prior)", "log2_bayes_factor": -12.845746707461347, "m_probability": null, "record_number": 27, "sql_condition": null, "term_frequency_adjustment": null, "u_probability": null, "value_l": "", "value_r": "" }, { "bar_sort_order": 1, "bayes_factor": 21.040435692945394, "bayes_factor_description": "If comparison level is `jaro_winkler_similarity >= 0.9` then comparison is 21.04 times more likely to be a match", "column_name": "first_name", "comparison_vector_value": 2, "label_for_charts": "jaro_winkler_similarity >= 0.9", "log2_bayes_factor": 4.39509267430577, "m_probability": 0.10022121058065445, "record_number": 27, "sql_condition": "jaro_winkler_similarity(\"first_name_l\", \"first_name_r\") >= 0.9", "term_frequency_adjustment": false, "u_probability": 0.00476326688492755, "value_l": "thomas", "value_r": "thom" }, { "bar_sort_order": 2, "bayes_factor": 1, "bayes_factor_description": "If comparison level is `jaro_winkler_similarity >= 0.9` then comparison is 21.04 times more likely to be a match", "column_name": "tf_first_name", "comparison_vector_value": 2, "label_for_charts": "jaro_winkler_similarity >= 0.9", "log2_bayes_factor": 0, "m_probability": 0.10022121058065445, "record_number": 27, "sql_condition": "jaro_winkler_similarity(\"first_name_l\", \"first_name_r\") >= 0.9", "term_frequency_adjustment": true, "u_probability": 0.00476326688492755, "value_l": "", "value_r": "" }, { "bar_sort_order": 3, "bayes_factor": 243.4504023819883, "bayes_factor_description": "If comparison level is `jaro_winkler_similarity >= 0.9` then comparison is 243.45 times more likely to be a match", "column_name": "surname", "comparison_vector_value": 2, "label_for_charts": "jaro_winkler_similarity >= 0.9", "log2_bayes_factor": 7.927484074912549, "m_probability": 0.11770557106826374, "record_number": 27, "sql_condition": "jaro_winkler_similarity(\"surname_l\", \"surname_r\") >= 0.9", "term_frequency_adjustment": false, "u_probability": 0.0004834889156748101, "value_l": "wright", "value_r": "wight" }, { "bar_sort_order": 4, "bayes_factor": 1, "bayes_factor_description": "If comparison level is `jaro_winkler_similarity >= 0.9` then comparison is 243.45 times more likely to be a match", "column_name": "tf_surname", "comparison_vector_value": 2, "label_for_charts": "jaro_winkler_similarity >= 0.9", "log2_bayes_factor": 0, "m_probability": 0.11770557106826374, "record_number": 27, "sql_condition": "jaro_winkler_similarity(\"surname_l\", \"surname_r\") >= 0.9", "term_frequency_adjustment": true, "u_probability": 0.0004834889156748101, "value_l": "", "value_r": "" }, { "bar_sort_order": 5, "bayes_factor": 1, "bayes_factor_description": "If comparison level is `null` then comparison is 1.00 times more likely to be a match", "column_name": "dob", "comparison_vector_value": -1, "label_for_charts": "Null", "log2_bayes_factor": 0, "m_probability": null, "record_number": 27, "sql_condition": "\"dob_l\" IS NULL OR \"dob_r\" IS NULL", "term_frequency_adjustment": false, "u_probability": null, "value_l": "nan", "value_r": "nan" }, { "bar_sort_order": 6, "bayes_factor": 1, "bayes_factor_description": "If comparison level is `null` then comparison is 1.00 times more likely to be a match", "column_name": "tf_dob", "comparison_vector_value": -1, "label_for_charts": "Null", "log2_bayes_factor": 0, "m_probability": null, "record_number": 27, "sql_condition": "\"dob_l\" IS NULL OR \"dob_r\" IS NULL", "term_frequency_adjustment": true, "u_probability": null, "value_l": "", "value_r": "" }, { "bar_sort_order": 7, "bayes_factor": 1, "bayes_factor_description": "If comparison level is `null` then comparison is 1.00 times more likely to be a match", "column_name": "postcode_fake", "comparison_vector_value": -1, "label_for_charts": "Null", "log2_bayes_factor": 0, "m_probability": null, "record_number": 27, "sql_condition": "\"postcode_fake_l\" IS NULL OR \"postcode_fake_r\" IS NULL", "term_frequency_adjustment": false, "u_probability": null, "value_l": "mk46 5fj", "value_r": "nan" }, { "bar_sort_order": 8, "bayes_factor": 1, "bayes_factor_description": "If comparison level is `null` then comparison is 1.00 times more likely to be a match", "column_name": "tf_postcode_fake", "comparison_vector_value": -1, "label_for_charts": "Null", "log2_bayes_factor": 0, "m_probability": null, "record_number": 27, "sql_condition": "\"postcode_fake_l\" IS NULL OR \"postcode_fake_r\" IS NULL", "term_frequency_adjustment": true, "u_probability": null, "value_l": "", "value_r": "" }, { "bar_sort_order": 9, "bayes_factor": 1, "bayes_factor_description": "If comparison level is `null` then comparison is 1.00 times more likely to be a match", "column_name": "birth_place", "comparison_vector_value": -1, "label_for_charts": "Null", "log2_bayes_factor": 0, "m_probability": null, "record_number": 27, "sql_condition": "\"birth_place_l\" IS NULL OR \"birth_place_r\" IS NULL", "term_frequency_adjustment": false, "u_probability": null, "value_l": "olney", "value_r": "nan" }, { "bar_sort_order": 10, "bayes_factor": 1, "bayes_factor_description": "If comparison level is `null` then comparison is 1.00 times more likely to be a match", "column_name": "tf_birth_place", "comparison_vector_value": -1, "label_for_charts": "Null", "log2_bayes_factor": 0, "m_probability": null, "record_number": 27, "sql_condition": "\"birth_place_l\" IS NULL OR \"birth_place_r\" IS NULL", "term_frequency_adjustment": true, "u_probability": null, "value_l": "", "value_r": "" }, { "bar_sort_order": 11, "bayes_factor": 1, "bayes_factor_description": "If comparison level is `null` then comparison is 1.00 times more likely to be a match", "column_name": "occupation", "comparison_vector_value": -1, "label_for_charts": "Null", "log2_bayes_factor": 0, "m_probability": null, "record_number": 27, "sql_condition": "\"occupation_l\" IS NULL OR \"occupation_r\" IS NULL", "term_frequency_adjustment": false, "u_probability": null, "value_l": "nan", "value_r": "nan" }, { "bar_sort_order": 12, "bayes_factor": 1, "bayes_factor_description": "If comparison level is `null` then comparison is 1.00 times more likely to be a match", "column_name": "tf_occupation", "comparison_vector_value": -1, "label_for_charts": "Null", "log2_bayes_factor": 0, "m_probability": null, "record_number": 27, "sql_condition": "\"occupation_l\" IS NULL OR \"occupation_r\" IS NULL", "term_frequency_adjustment": true, "u_probability": null, "value_l": "", "value_r": "" }, { "bar_sort_order": 13, "bayes_factor": 0.6958412167628851, "bayes_factor_description": null, "column_name": "Final score", "comparison_vector_value": null, "label_for_charts": "Final score", "log2_bayes_factor": 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"sql_condition": "jaro_winkler_similarity(\"first_name_l\", \"first_name_r\") >= 0.7", "term_frequency_adjustment": false, "u_probability": 0.022450226151084662, "value_l": "bill", "value_r": "williams" }, { "bar_sort_order": 2, "bayes_factor": 1, "bayes_factor_description": "If comparison level is `jaro_winkler_similarity >= 0.7` then comparison is 7.06 times more likely to be a match", "column_name": "tf_first_name", "comparison_vector_value": 1, "label_for_charts": "jaro_winkler_similarity >= 0.7", "log2_bayes_factor": 0, "m_probability": 0.15851292732703254, "record_number": 28, "sql_condition": "jaro_winkler_similarity(\"first_name_l\", \"first_name_r\") >= 0.7", "term_frequency_adjustment": true, "u_probability": 0.022450226151084662, "value_l": "", "value_r": "" }, { "bar_sort_order": 3, "bayes_factor": 1005.2488816535835, "bayes_factor_description": "If comparison level is `exact match` then comparison is 1,005.25 times more likely to be a match", "column_name": "surname", 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", "text/plain": [ "\n", "\n", "If you see this message, it means the renderer has not been properly enabled\n", "for the frontend that you are using. For more information, see\n", "https://altair-viz.github.io/user_guide/troubleshooting.html\n" ] }, "execution_count": 17, "metadata": {}, "output_type": "execute_result" } ], "source": [ "# Some of the false negatives will be because they weren't detected by the blocking rules\n", "records = linker.prediction_errors_from_labels_column(\n", " \"cluster\",\n", " threshold=0.5,\n", " include_false_negatives=True,\n", " include_false_positives=False,\n", ").as_record_dict(limit=50)\n", "\n", "linker.waterfall_chart(records)" ] } ], "metadata": { "kernelspec": { "display_name": "splink_demos", "language": "python", "name": "splink_demos" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.8.3" }, "vscode": { "interpreter": { "hash": "cc173ace240fa2ad02472fa75d75ddd885c067b637b7c50cecea7593995ac3de" } } }, "nbformat": 4, "nbformat_minor": 4 }