{"metadata":{"kernelspec":{"language":"python","display_name":"Python 3","name":"python3"},"language_info":{"pygments_lexer":"ipython3","nbconvert_exporter":"python","version":"3.6.4","file_extension":".py","codemirror_mode":{"name":"ipython","version":3},"name":"python","mimetype":"text/x-python"},"kaggle":{"accelerator":"none","dataSources":[{"sourceId":30573,"databundleVersionId":2683891,"sourceType":"competition"}],"dockerImageVersionId":30152,"isInternetEnabled":true,"language":"python","sourceType":"notebook","isGpuEnabled":false}},"nbformat_minor":4,"nbformat":4,"cells":[{"cell_type":"markdown","source":"# Punt Coverage: Assessment & Ranking\n\nFootball lends itself beautifully to data exploration. Each play naturally creates a discrete time period to analyze, while player movements within a play add complexity. Player performance ebbs and flows over time allowing metrics developed within a game or play to extend over a player’s career and narrative. \n\nPlus it’s fun to watch! (Go Panthers)\n\nOn Oct 29 2021 [Usama Young participated in a Q/A around Punt Strategy](https://www.youtube.com/watch?v=gpfDQ0tNUUg). In this Q/A he mentioned how the distance of gunners at the moment of a catch is a clear marker of a good punt strategy, calling a 10yrd distance “A+” and a 15yrd distance “A++”. He also mentioned how a lateral step of a gunner is a great job by the jammer, pushing them laterally away from the optimal path.\n\nIn this notebook I will see if the data backs up Usama’s claims, and use insights derived from these punt coverage elements to rank Punt Coverage Efficiency on both the team and player level.\n\n","metadata":{}},{"cell_type":"markdown","source":"### Table of Contents\n> 1. How important is a Gunner’s **separation to PR at the moment of catch** to the return yardage?\n> 2. How important is a Gunner’s **displacement from their optimal path** to return yardage?\n> 3. Taking **Meaningful Football Action** regarding Coverage Efficiency\n> 4. Judging a ~~Book by its Cover~~ Punt by its Gunners: Can we apply **Coverage Efficiency to the Offensive Line**?\n> 5. Conclusion\n> 6. Appendix","metadata":{}},{"cell_type":"markdown","source":"## 1. How important is a Gunner’s separation to PR at the moment of catch to the return yardage?\n\nSeparation is straightforward to understand: *What is the distance, in yards, of a gunner to a PR at the moment the PR catches a punt?*\n\nOne thing I know as a football player/fan, is that as the Gunner gets closer to the PR he “starts to hear footsteps”, and is more likely to fair-catch as to avoid a huge hit. This is seen in the drastic increase in returned punts as gunner separation extends:![Screen Shot 2022-01-06 at 12.28.10 PM.png](attachment:41ff7690-b977-442b-852a-ae7e01a0575c.png)\n\n*Note: For this graph and all following, unless explicitly mentioned these are only looking at one-on-one coverage gunners routes.*","metadata":{},"attachments":{"41ff7690-b977-442b-852a-ae7e01a0575c.png":{"image/png":"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"}}},{"cell_type":"markdown","source":"The average Separation on returned punts is `7.4yrds`, whereas fair-catches/muffs have an average gunner Separation of `3.1yrd`. Seems that, as Usama said, **Separation does play a role in punt success:**\n\n![Screen Shot 2022-01-06 at 12.26.56 PM.png](attachment:13ceeaf5-67c3-468c-bef1-9aa02f65a972.png)\n\nWhile a Pearson R of `0.34` may not seem like a lot when considering correlations beyond football, but within the context of punt coverage this is significant. In fact, it was the highest Pearson score I found when comparing coverage metrics to kick return yards. *Check out other metrics I explored, and their lack of impact on kick return yardage, in appendix*\n\nWe can also see why Usama mentioned a 10yrd distance is an A+, and a 15yrd distance is an A++. A 10yrd buffer from Gunners provides PR's 50% more return yards, and a 15yrd buffer doubles the average return. Certaintly a HUGE deal for punt teams!\n\nSo in short, Usama was right to call out gunner separation as an important factor in punt 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"}}},{"cell_type":"markdown","source":"## 2. How important is a Gunner’s displacement from their optimal path to return yardage?\n\nDisplacement is defined as *the additional distance traveled by a player away from their optimal coverage path* \n\nA visual can make this clear: In the attached visual we can see Crossen’s optimal path to the punt vs. the actual path he took. These two paths create a polygon, which we can find the area using the Shoelace formula (a fitting formula for a football metric!) \n\n$$Displacement = \\frac{1}{2}|\\sum\\limits_{n}^{i=1}(x_{i+1}+x_i)(y_{i+1}-y_i)|$$\n\nHere is an example:\n\n![Screen Shot 2022-01-06 at 12.38.54 PM.png](attachment:9ebba844-a0d8-4ba0-acac-7d20af8bc464.png)\n\nWe can see Crossen's optimal path, in grey, and his actual path, in orange, creating an area of field for us to calculate displacement from.\n\nThe idea for displacement from researching traditional blocking techniques used on punt plays: The [Arm Bar](https://www.youtube.com/watch?v=WZwP9q2UG9M). The Arm Bar is a blocking technique where the goal is to grab their chest plate with a straight arm and “widen” your defender, pushing him off his intended path. A successful arm bar would result in a larger displacement.\n","metadata":{},"attachments":{"9ebba844-a0d8-4ba0-acac-7d20af8bc464.png":{"image/png":"iVBORw0KGgoAAAANSUhEUgAAAroAAAFxCAYAAACcOgvzAAABRWlDQ1BJQ0MgUHJvZmlsZQAAKJFjYGASSSwoyGFhYGDIzSspCnJ3UoiIjFJgf8bAyMDGwA0k+ROTiwscAwJ8gEoYYDQq+HYNqA4ILuuCzPqys41rz28pyf+vN1nVfQxMxVSPArhSUouTgfQfIE5PLigqYWBgTAGylctLCkDsDiBbpAjoKCB7DoidDmFvALGTIOwjYDUhQc5A9g0gWyA5IxFoBuMLIFsnCUk8HYkNtRcEeH3cFUJ9QoIcwz1dXAm4l2RQklpRAqKd8wsqizLTM0oUHIGhlKrgmZesp6NgZGBkxMAACnOI6s83wGHJKMaBECsQY2CwmAEUfIgQiwf6YbscAwN/H0JMDehfAS8GhoP7ChKLEuEOYPzGUpxmbARhc29nYGCd9v//53AGBnZNBoa/1////739//+/yxgYmG8xMBz4BgC7lmH5SUc9xAAAAFZlWElmTU0AKgAAAAgAAYdpAAQAAAABAAAAGgAAAAAAA5KGAAcAAAASAAAARKACAAQAAAABAAACuqADAAQAAAABAAABcQAAAABBU0NJSQAAAFNjcmVlbnNob3TYXU0IAAAB1mlUWHRYTUw6Y29tLmFkb2JlLnhtcAAAAAAAPHg6eG1wbWV0YSB4bWxuczp4PSJhZG9iZTpuczptZXRhLyIgeDp4bXB0az0iWE1QIENvcmUgNi4wLjAiPgogICA8cmRmOlJERiB4bWxuczpyZGY9Imh0dHA6Ly93d3cudzMub3JnLzE5OTkvMDIvMjItcmRmLXN5bnRheC1ucyMiPgogICAgICA8cmRmOkRlc2NyaXB0aW9uIHJkZjphYm91dD0iIgogICAgICAgICAgICB4bWxuczpleGlmPSJodHRwOi8vbnMuYWRvYmUuY29tL2V4aWYvMS4wLyI+CiAgICAgICAgIDxleGlmOlBpeGVsWURpbWVuc2lvbj4zNjk8L2V4aWY6UGl4ZWxZRGltZW5zaW9uPgogICAgICAgICA8ZXhpZjpQaXhlbFhEaW1lbnNpb24+Njk4PC9leGlmOlBpeGVsWERpbWVuc2lvbj4KICAgICAgICAgPGV4aWY6VXNlckNvbW1lbnQ+U2NyZWVuc2hvdDwvZXhpZjpVc2VyQ29tbWVudD4KICAgICAgPC9yZGY6RGVzY3JpcHRpb24+CiAgIDwvcmRmOlJERj4KPC94OnhtcG1ldGE+CqYQc5AAAEAASURBVHgB7J0HmFPF18bf7b2yLL1KLyogYgGRIghYsIuKItgFsRea7a+A3c+CCoiCigUVURRFxIIdEQRBOkvv23u535xZbkh2k2XvbrJJlneeJ+TeuXPPnPlNgDcn584EGKqAhQRIgARIgARIgARIgARqGYHAWjYeDocESIAESIAESIAESIAENAEKXX4QSIAESIAESIAESIAEaiUBCt1aOa0cFAmQAAmQAAmQAAmQAIUuPwMkQAIkQAIkQAIkQAK1kgCFbq2cVg6KBEiABEiABEiABEiAQpefARIgARIgARIgARIggVpJgEK3Vk4rB0UCJEACJEACJEACJEChy88ACZAACZAACZAACZBArSRAoVsrp5WDIoGqE3j33XcxYMCAqhvgnSRQwwQCAgKwadOmGu6V3ZEACfgDAQpdf5gl+kgCVSDQvHlzfPvtt7Y733//fSQkJOCHH36w1Tk7uPrqq/HNN984u1TtuoyMDNx5551o2rQpoqOjccIJJ+jzgwcPVtu2pw1s27YNwtRqGTFiBEJDQ/V4ExMTcc455+C///6zaqZc+0ceeQTXXHNNufqyFe+99x5OOeUU3X+DBg0waNAgLFu2rGyzGj8XlhEREdqvevXqQThlZWUd04+zzz4bM2bMOGY7NiABEiABIUChy88BCRwHBN5++23cfvvtWLhwIXr37u2VERcUFKBfv374999/sWjRIojo/fXXX1GnTh388ccf5XwqKioqV+evFffff78WcTt37kRycrIWdTUxlueee05/kRg3bhz27duH7du347bbbsNnn31WE93rPmSX+ZKSEqf9ff7555rLihUrsHz5cvzvf/9z2o6VJEACJFBlAuofIRYSIIFaSKBZs2bG4sWLjddee81QYtL4888/baNMS0szRo4cadSvX99o2LChMX78eEMJS3191qxZxplnnmlr+/PPPxsqImjExsbqdzk3ixLNxoQJE4wzzjjDUBFaQ0UrjQMHDpiXHd6nT59uKJFnZGZmOtTbn4jPU6ZMMTp37myoKKhRWFhoKFFmdOjQwYiLizOkv7Vr19pukbbiv/Tdpk0bQ0Ww9bXff//d6NatmxETE6P7vOuuu2z3KHFtnH766dreiSeeaCxdutR2raLxbN261RD/zOKqb/O6+X7ddddpvub5F198YURFRelTc47Maw8//LChIur6VPpT/7Abb731ltGkSRM9h0oI6mtfffWVERISYgQHB2tbMo6yReZY+vnwww/LXrKd5+XlGWPHjjVUpFe/5FjqpLRr185QQtTWVuYiKSnJ+Ouvv3TdsTgqca0/F+Hh4cbGjRttdsyDsmO/9957jSFDhhiHDx/W79JXfHy8Pt6xY4e+TWwGBgYaYWFhemzqy5uuF07Tpk0zWrVqpedViXlDiWuzK76TAAkcxwRwHI+dQyeBWk1AhMTFF1+shd7KlSsdxjp06FDjpptuMtRPxYaK9Bndu3fXglga2QvdQ4cOabExe/ZsLTrVz+D6XKUaaHsiDFu2bGmsX7/eyMnJ0UL0gQcecOjLPLniiiuMa6+91jx1+i4+n3TSSYaKPGp7YjcyMtJQqRSGiggbU6dONVS6g5Gfn2+on/+Nxo0bG7t27dK2RBiqPE19fNpppxnisxQR1iLKpKiIqqHSBwwV2TaKi4u1XTnfv3+/vl7Z8VTUtzZk94e90BVfhg0bZvTs2VO3KCv2nAndG264QbOQORTxbwp9+7Z23dkORQwHBQXpebNVljmYOHGi0aNHD/0ZEAbyBUC+uEh59NFHjauuusp2hwh0Eb9SKsNRxPmaNWt0/zJ3ZYv92GW+5cuM9C2frXnz5hnZ2dmGivobl156qXHhhRfabpc5ki9N9kWErojk1NRUIyUlRQtyGT8LCZAACTB1ocqxcN5IAr5PQEV0oUQfVITU5qz8hP3ll1/ihRdegIr46Z/SVcQTksNbtkiqQ+vWrTF8+HCo6CGUSIMSO5CfnM1y/fXXQ0VTdb7l5ZdfDiXIzEsO70o0Q3JEj1XuuOMOKJGk7X3wwQdQAkbntaoIJlTUD7m5ufjll1+gRByU4IUSflDRRp0/Kzm/UqStPJwkub+SCywMpLzzzjsYPHiwfqnIoLYr+avCwyyVGU9FfZt27N+feeYZqOgkVMRR/1SvorT2lys8VoJWs1BfACCvVatWVdjevCi8VVRUz5tZV/ZdHjycNGmS/gzUrVsX0tecOXN0MyVysWDBAqgvMPpccn1l/qVUhqPk3Hbs2FH3L/PhrKgvXJqLEv46pUZSLCSV5ZJLLoH6ggMVkYf6teGYeeVi+8EHH9S2JP+7T58+Lj+HzvxgHQmQQO0lQKFbe+eWIyMBqJ9zsWHDBqiooPx6o4moiJcWhiI6RXzJ6+abb4aK6JUjtnv3bqjIm0O9nKsoqq1OpT/YjkWcuHqgSATMnj17bG1dHYjINUvZ/kWcynXpX0SjiHV5KEvyXq+88kpIeykzZ87U4xZRrqLVUNFIXS9j/+ijj2zjlrHLg1n2flVmPBX1rTsq84cIdJVKgL1792rxaAryMs2cnlbGH2c3Cm8R+hXlOpflK3NrMpQxtm/fXn+pEbErolfEr5TKcLSfR2f+Sd38+fM1F7H36quvakEvfcnnUXxR6TI466yzdBsVgXdlRtdXlVOFRnmRBEjA7wlQ6Pr9FHIAJOCagDzNvmTJEvz000/6ISRpKQJE5ThqESTiS17yYJg8JFa2qPxXLWrs6+WBpkaNGtlXVeq4f//++Prrr6F+kq6wvSwVZZay/YtYV/matv5FeIlQFaEk96m0CX2rRKHnzp2rxbvUqZ+/db8ydolOm+OWd/FHooFWi6u+rdiRiLoZMZX7RAhXtthzcnaPSkPQ8yxi0lUpy1fmVurMIhFc4SgPr6nUAv3lQq5VhuOx/DP7KPv+7LPPQqWsQOVZ68/ljz/+qJuYX9SqardsPzwnARI4PghQ6B4f88xRHscERLiI2JWVDiRFQSK5sk7uPffco4WEPBG/efNmpz8Py8/8EhGWn60lMiipBJIqcN5551kmKgJTBJL8LC3La0m/8vP6k08+6ZA6YG9YUiEkfUL8l/QEEUEi0tXDb1oMfffddzp9QT3wpKOBEvGVIj+tq4fiIOcStZUix7Icl6RdiOCWCKF68Arff/89ZDUEK0WEmKu+rdg5+eSTdcqIjE1WHVC5qZW+Xb7EyJJnrlY0UA/v4bHHHtOrbYjYFUEt/ajcVcgqEFJEyMpKB8JKor/S3n7JMomSy1Jz8suAGc2V+9zFUWyVLSqPWc+lzJt6MA0qV9ihiYx7y5YtDnU8IQESIAFXBCh0XZFhPQnUIgKStyjCTITUQw89BPWgFmS5L4nSydq6EvG0//neHLr8/C0/+4vAlOOnnnpKn0vup9UiAlXW9ZV0AllLVn6WPvXUU7XAUg9EOTXXtm1bLVrHjBmj801FpMpL1qWV/FyJxIov8rO1pF5MnjxZ2xFRL/mhkp+rVhLQYlLWbBWhLdFJEdeSkyrnTz/9tEux6NQpVVlR367ucVb/+OOP6y8ZMgeSH2svJp21t6+77LLL9KnMS9euXe0v2Y7ly4wsMSZi1hzvyy+/DMmNlaIe/tJr7KpVG3Qet9iROrPIlyKJDEtOtHqY0Kx2G0ebQbsDWWdZ8rBlXiW3+txzz7W7Cj2f8jkWZpLPzUICJEACFREIkOfxKmrAayRAAiRAAiRAAiRAAiTgjwQY0fXHWaPPJEACJEACJEACJEACxyRAoXtMRGxAAiRAAiRAAiRAAiTgjwQodP1x1ugzCZAACZAACZAACZDAMQlQ6B4TERuQAAmQAAmQAAmQAAn4IwEKXX+cNfpMArWAwC233AJZdaA6RZYGU9sAV8cE7yUBEiABEqjFBCh0a/Hkcmgk4C0CzZs312uhyhaush6qrHv72muvOSzjJecTJ070los+2e/ZZ5+NGTNmVNo3Wfv2zDPP1Eu/CWdZCuznn392uF/WnJV1j2UuZMkucw1ds5Fs/Sw7oMnmFbJjm2wu4qy8/fbb6Natm14WTr5ciJ2yu65V1pYz+6wjARIgAU8QoND1BFXaJAES0OvdyuL/smuZrHc7depUjBo1imTcSEDWCX7zzTf1hg+pqal6Z7jzzz/fJkBlrWRZs7hv37561zXZGMN+Q4jFixfre2bNmgWZK9mFrGXLlk49lA0nZMtlEdeya5ls4vHMM8/Y2lqxZbuJByRAAiTgaQKyji4LCZAACbiTQLNmzQwlfBxMKnFkqO1bjdWrV+v66667zhg/frw+VjtzGUOGDDHUbl6G2gjA6Nmzp6F2LtPXxJba4MFQUUdDRS2NESNGGGpDAX1t6dKlhtqOWB/LH2rDCEMJNUMJQN3+k08+sV2TgzfeeMNQG1bYrv/111/6+q5du4yLL77YUBFPQ0WjjRdffNF2n9rIwVAbahhXX321vq9Tp06G2hlN+6Q2YTBUdNNQO63Z2qtthY2RI0caahMLQ+1Kp8eoIp/6uhKUhorAGmojBz0W6evLL7/U18aNG2eo3dsMtbGGoaKrxu23326zWZkD4bVgwQJZF93Yt2+fvuX111/XLF3dryLAhoogu7pcYb3aRMRQkWJbm+rYshnhAQmQAAm4mQAjup7+JkH7JEACmoDsgiY/eTv7aVx2XpNrshWtEml65zIlim3k3n33Xb1tr2xVLFsSy05fzor503t6erreaUyil+aObx999BEeeeQRvStcRkYGlCjUP/nLFroSBT3ppJOgBK+OVErkUrYJNovsxiZbGEvUtEuXLhg4cKBOw5D2kyZNws0332w2hRLiCA4OxqZNm/D333/rLXTt0xEkGio7vklkVH7+lyi3+ncdTzzxBHr16gXZuSwrK0u/i1FJO5gyZYrNvrMD2dlMtkG+4IILcMMNNyA5OVk3++2336DENAYNGqTTFiQ1Qn3R0NdkC2TZdliYt2rVSvMfPXq03pXMWR9l6yT6K7vPSamurbK2eU4CJEACbiPgZuFMcyRAAiRgOIvoCha11a+hRKomZB/RVbm6hhJpxsaNG8vRE1vTpk2z1S9cuFBHbaWibETX1ujIgRKvxvz58/XZgAEDDCVgyzYxlBg01FbADvUSQZbIsRSJ6Pbv3992XaKmEnE1o7RKNOsoqhLBxt69ew21PbGhfua3tX/vvfcMJTD1uUR0lRi3XcvOztb3KjGu63r37m1Mnz7ddt3KgUS5pa+33nrLdptKWzCU6NZRY7VtsaG2cDZatGhhyLFEsdV/JIbKuzV2795tSFRd5VIbElk+Vpk5c6aOpMs9Uqpj61h98ToJkAAJVIcAI7pu+8pAQyRAAsciIBHQxMTEcs3uu+8+HVVUYlTniJaNYCohartHCV8oYWY7tz+YPXs2Tj75ZP0AnDyctWbNGh05lTY7duzQD1vZt5djySEWe9LefCmhqyPLZtt69eqZh/ohO3moKygoSNdFRETod4nCiq3CwkI0aNDAZkuivfv377fdr1IabMeRkZG2e22VVTyQiO6wYcN09HfVqlXaivim0kB0RFcJcNx77704dOgQ1q1bp8chjcaMGaP9lTHdfffdUKkUFXqgvjjgoYcewldffaWjxNLYZGDVVoUd8SIJkAAJuIFAsBts0AQJkAAJHJPAn3/+qVMDRHiVLbIigKQvyEvEqTw81b17d/Tr1083FZFqlu3bt0PlvpqntncRmTfeeKNOPZDVB0SIiuhVkQDdRsSypD6ULVKvopxQ0eSylyyfiy2VY6vFtaQvWC326RpW7zXbi9CWlRYkFUNSGsquwmC2U7nQOl3Bvk/7Y7Od/fuiRYs0YxVVR+fOnW2XqmLLdjMPSIAESMCDBBjR9SBcmiYBEgAkH/aLL77AlVdeqZ/4txdIJh+5LjmtIkrVA2lapKoHs8zLeOWVVyArBhw+fFjnsl5xxRW2a+aBSgOACDX1gJiukpUERDSbRXJXZZUA9QCa7kf6E3EsucMitGVVCPXzv843lftEmFstEsmVqLR62EyPW/J/RVz/8MMPlTIlkWMRqZUtkoO7bNkyyOoK4ruMQXKcVYqINiE5ytLm22+/1eOS3GOJ3MpyYlKuv/56vPTSSzriLPnHzz//vM4J1hfL/PHdd99BPZCHjz/+WDMrc9mSrbL38pwESIAEPEXg6P8knuqBdkmABI5LAvKAlwhIiXLKg1bys7iIT2dFoqkqDxayXJZEY2+77Tb06dPH1vSqq67SAlKWvpIHziZMmGC7Zh506NBBC0y5XwSjPHQla8ya5bLLLoNa5QFiS/waOnSoFs4S+RWhvXLlSh3ZFSEoolgeaKtKkfQJEZ7ij0Q61YoNtgfijmVv7NixmDdvnr7vjjvu0M3lQTJJpXBWVK4t1OoM+qE6tfqETjuQaKsZ8ZaH3t555x3I5hziy2effaYfwpM0BimyjrFEztu0aaPFrzxoJ4ykSORc5kPepcjmHsJk8ODBul6uiW9mqciW2YbvJEACJFDTBAIkwbemO2V/JEACJFBZArJqgKxaIEKYhQRIgARIgASsEGBE1wottiUBEiABEiABEiABEvAbAhS6fjNVdJQESIAESIAESIAESMAKAaYuWKHFtiRAAiRAAiRAAiRAAn5DgBFdv5kqOkoCJEACJEACJEACJGCFAIWuFVpsSwIkQAIkQAIkQAIk4DcEKHT9ZqroKAmQAAmQAAmQAAmQgBUCFLpWaLEtCZAACZAACZAACZCA3xCg0PWbqaKjJEACJEACJEACJEACVghQ6FqhxbYkQAIkQAIkQAIkQAJ+Q4BC12+mio6SAAmQAAmQAAmQAAlYIUCha4UW25IACZAACZAACZAACfgNAQpdv5kqOkoCJEACJEACJEACJGCFAIWuFVpsSwIkQAIkQAIkQAIk4DcEKHT9ZqroKAmQAAmQAAmQAAmQgBUCFLpWaLEtCZAACZAACZAACZCA3xCg0PWbqaKjJEACJEACJEACJEACVghQ6FqhxbYkQAIkQAIkQAIkQAJ+Q4BC12+mio6SAAmQAAmQAAmQAAlYIUCha4UW25IACZAACZAACZAACfgNAQpdv5kqOkoCJEACJEACJEACJGCFAIWuFVpsSwIkQAIkQAIkQAIk4DcEKHT9ZqroKAmQAAmQAAmQAAmQgBUCFLpWaLEtCZAACZAACZAACZCA3xCg0PWbqaKjJEACJEACJEACJEACVghQ6FqhxbYkQAIkQAIkQAIkQAJ+Q4BC12+mio6SAAmQAAmQAAmQAAlYIUCha4UW25IACZAACZAACZAACfgNAQpdv5kqOkoCJEACJEACJEACJGCFAIWuFVpsSwIkQAIkQAIkQAIk4DcEKHT9ZqroKAmQAAmQAAmQAAmQgBUCFLpWaLEtCZAACZAACZAACZCA3xAIPqanhYXHbOK3DUJC/NZ1S47X1jk8HuaPc2fpo+5zjTl/PjcllhyqjfN3PPy7KZNcG+dOxnW8zJ+M1U3lmEI3NTcHyzescVN3vmXmnFPO9C2HPOTN4rXfeciyd82ec9JA7zpQA71z7moAsge74Px5EG4NmK6N83c8/LspH43aOHcyruNl/mSs7ioBhioVGVu8/GcMHn9rRU389trnk6cBwVkYOuVqhzFMGnaPPn9s7rO2emd1ctFZvbM6d7S1auO/F5fLLWg39hT9Ln9Y8c1Veys2PNVWfKvu+Kz4VtMsnI3NlQ+u6q2Mz1NtXflmZXxWfHPVnxUb7mjrqfG5wzd32HA2Pit2fWWeXPlc3fG5smul3lNtnY3N1Xy4qveUb1bsuvLNyvjc0Z8VG+5oO//Bd4GiaJz/UO3UZQufnIYB3dwbhDxmRFc+TMdb6dq8a7khO6uTRs7qndW5o61VG7ERsXKLQ7Him9zorL2zuppuK/1Vd3xWxlHT43M2Nlc+uKq3Mj5PtXXlm5XxWfHNVX9WbLijrafG5w7f3GHD2fis2PWVeXLlc3XH58qulXpPtXU2Nlfz4areU75ZsevKNyvjc0d/Vmy4o62Mm8UaAT6MZo0XW5MACZAACZAACZAACfgJAUZ0nUzUim0rytU6q5NGzuqd1bmjrVUbGbkZcotDseKb3OisvbO6mm4r/VV3fFbGUdPjczY2Vz64qrcyPk+1deWblfFZ8c1Vf1ZsuKOtp8bnDt/cYcPZ+KzY9ZV5cuVzdcfnyq6Vek+1dTY2V/Phqt5Tvlmx68o3K+NzR39WbLijrYybxRoB5ug6ydG1htB3W89/SOXyqDJ0smMOsu96bM2z2jy+2jw2mWWOz9pn3ddac/58bUYq7w/nrvKsfLElc3StzwpTF6wz4x0kQAIkQAIkQAIkQAJ+QIBC1w8miS6SAAmQAAmQAAmQAAlYJ0Cha50Z7yABEiABEiABEiABEvADAhS6fjBJdJEESIAESIAESIAESMA6Aa66YJ0Z7yABEiABEiABrxKIVGGq0KAARBx5ybkchwfKCwhXx6EBAQgOAALVeZDyNhABaLp3Pgx1dFmDMBSr7aJy1Z5RWYXqpU6y1StdHR8uKIF6YyGBWkGAQrdWTCMHQQIkQAIk4K8ElBZFfEgAksICkRwaiCR1nHzkuF5IIOqqV6J6SX2dYHkPhNKxVSsp3+v7Zrcvv6GQabBEidzdBcXYlleCrXnF2JhbhE056ji3GFtzirUYNtvynQR8nQCFrq/PEP0jARIgARLwawISba2rwqwNlXhtGh6EphGBaKHem8lxWBCaqPowFYn1lSKuNFZ+yatnXEg5t0T8/plZiOWZRfg5tRD/ZhQhnxHgcpxY4RsEKHR9Yx7oBQmQAAmQgJ8SiFOR1kZKyDaLDEJz9S4CUYtYddxcHUtE1t2lJCAQJSonoTgwGCXBIepYvQKC1XkoDH2s3gNUwoJ6GaqtJC4Yqn1CbBRgqKhsWjoCjBIElOQjuCQPgeo9sLgAIYV5CC4qUEkOrouIdHldXre0jaQ8LE4twMJD+fjyQIFKfaDqdU2PV2qaAIVuTRNnfyRAAiRAAn5HIEwpv4ZKyLZS0di20cHooI7bRgSjnXqXtILqlqKgYBSGRqAwOFq9YlEYEofi4DgUhSSqc3UcFKte6lxdK1HvImarUiJbt9a37di40fXtRiFCCg4o0bsPYfk71WuXeu1BeP4BhOdmIlAJZPsSpfIohiaF6VdxG+Crw/mYszcPi5XozXVsan8bj0mgRghQ6NYIZnZCAiRAAiTgLwTClMiLzd6MW5uFo0t0CLrGKEGrRG1V82JL1ENhhSHhKAiLRYESrvlhddV5fXVeX73XQ0FoshKukb6DJyAEhWEN9SsnuoujX0YRwvO2IDJnPSKz1yEmYyPCC3JsbYTReXXC9OtAYQle3Z2LWbvysE/l+7KQgDcIUOh6gzr7JAESIAES8AkCKkCL9krI9ogPxllxoTgtNgT1/35C+9b1hJhK+VisUgLyw6KQH1pHvSeryGxdJWjlvZ4WtEUhdVQKQfWjvpVyxtONVHpEXkQb/Tpc53zdW4iK+MZm/IyE1F8RnbXflvYgKRsPN4vChKZRmLE3F09vy8Euhng9PUO0X4YAhW4ZIDwlARIgARKovQQkn/bkuGCcqR6y6h0fitOVyA2pxINgknVaEBqO/PA6yAtvqF5N9Ss/tJlKL0hSQrairNbay1NGVhjWCIfqXq5fwSrFITH1ayQd/AlhBXl64BLlvblBBEbVi8DrSvA+uSWbeby1+yPhU6Oj0PWp6aAzJEACJEAC7iSQGBqAU+ND0FO9+iWE4uSoY/+3ZwSrB7ziknE4oB5yIk9AbkQrFcE8wbfSC9wJyY22isIaYH/9Edhfb7iK8v6E5P2fIyZzr+5BrYyG2xtGYFjdMNy5KQvz9uSrNX1ZSMCzBI79N96z/dN6FQlc0+9i3Nz3JrRr0A65Kj/qh/U/Yer8p7Fm6yYHi2e16YXsd/Y51NmfPPjhOLy0YKZ9ldePKzu2U5qfgjrRiX41vsqOTSYhJCgEt593PS7sdgE6NOyAmPBoHM4+jJSDKfj+vx/x1tI52LZnj9fny3RgSI++GHvuGJzU9ESUFJfgty2/45mFz+Pn1X+ZTWzvjeIbolPjThhzwSif+/zZnHRyYGX+5PbBPfrgurOGo3uLU5AYmYjM/CzsSt2F5VuXY8aSWVi56T8nvdR8lZW5G3rmQAzsNACb9jv+W1PzXjvvUeladIoNRv86IThPPSDVXeXYmiWgfT+g7fVAXFugOBfYtwzGqpeQm5GJ7KjmyI7upN47o2kn1U6lGhSp+qS4WERERKiAbQCKi4tRWFiIrKwsHDx4EHl5pRFL074335OSkiCv8PBw7Wd2djb27t2LnJyj+bPiX2RkpNpAIhBdupTJvbVzfs/uPdi7r1Sc2lVbO1SrPWTEna1fkVl/o+Ged2yCVx7ek3V8h9cvwKi1mTiQX/n83cr+HVz5zM9oXb+VS5998f8+l87yQrUIUOhWC593bp52yzO4tudw/LvrXzzz1bNIjErEiF7X4oKTz8MFz12EH1b9YXNsb8ZefPXP1/q8b/s+aFu/DT77ewF2p5UKpH9SVtva+sKBlbHtTtuF1JzDeGPpDAfX4yLjcN+ge7RQTDmw3eGaN0+sjC1K5ft1V0K+T7uzsX7vBsz9/X3sTd+HpOg6OCG5Jcb0vx2b929WQvdjbw7J1vcDl43BpAsnaBH+0uJX1I5Noeozeg2+eeBL3PjmLXjvu09tbf31wMr8BagsxZObnYSPxryPPPXz7cd/fYJN+zYjJiIGzZOa49Lul2D9ng0+IXRrw9w1Uom2vRJCMKhOKAYlhCFGtgMrUwL6PAS0uBpG+loUbngXhVEnIKLJYAQ0uRB7tmxFeka67Y6AwCAtCKOjo5Gfn4/U1FQUFRUhKCgIYWFhWlBKva8I3ebNmiEhMVH7s3//fu1nojqPjY3F1jJjE6Euov3QwUO28cpBULBaBq1uXX2toLDA4Vp1T+SBtk2tuyA641c02T5TPbymvmSoco6KsP/ZPQFX/puO31KLjtmNlb+DH/zxAZJiStc/84f/+445eDaoMgEK3Sqj886N/bv11CL3RxXBHTr5CuQXFWtH3lzyFn597Ce8dfNMdLqrG7LzS/+h2rB3I+6ZOVG3eeHGJ7XQfWrBs/h74zrvDKCCXq2OzRTr9hHpmIhwfHz/XC1y73v/ASz4dXEFPdbcJatj66giuGEhYZjw8SQ8+8m0co5Gh4chPsb1zkblbvBgRYfmLbXIlc9a70n9kZFTGuV65cvX8fuTP+Hl4S/iu5XfY+/hVA964VnTVuevWd1mSI5Jxrrd/2Hw5AvKjT0iNAR1ExI963QlrPvr3EWqpM/uCcE4JzEU56sn/NtEyAa3zouseJDfdjAiWl6DPPXFf/2WDLXebHcgX22Zm7sFbdu2RdNmTfHvv/+ipKQ0smhGcCUiusfJryYSEQ0JORopdt5zzdTGx8drkSsR3I1qyTBDbekrRSLOzsYmQleKfcRWxtOqVSstciWae/jwYd3G3X9kxZ6O/zp0Qb29M1F/76/q66CBemonuKVdEnDn5ky8nuI6Ql7Zv4Omz5M//D/zEL7+f5/NUR54hACFrkewes7obefcrP5xCMCEDx+2iVzpbf2OFMxa9jZu7XMz+nc7G5/98o3nnPCQ5eqOLTYyHJ8+8CFOP+E0jH33Lkz/6l0PeWrdrJWxRUeEISEqAQVq0XZnIld6z8rLV68D1h3xwB0j+47Qn8lHP33cJnKlm30qCvbsV89j6uWTcUWvS/HiZ9PVZ7Mn+nfui0YJjbQnQ7tdiEaJpcdlXXvknSeRp6JovlCszJ/42yi+dEy3zRpdTuTK9dyCQmzf5zqlSNrURKnK3LVX6VJSkmOTMWXEJKduemLuJNe2rxK2Q5PDMFhFAiMqWOsrX61HmxHbRv1s3h1Z0aeiZduTlJ8B2LEvS4ncCJvPubm5WtTVqVMHIhhF4Inok5cIRmciV24WQSwRXV8okq4gZffu3TaRK+fOxib1ZYuMtU2bNjo9Y9euXZCIsCeLERiOvQ1vR2bsaWix5WWEqH/npLygVrhooETvoxtznObtVvbvoCd9p23/JECh60fzFhIUiL7t+iBL5fn9vWFtOc+/XvUNbulzE/p27ON3Qre6Y4uLjsTnD32MU5p1wy1v3YbZ384rx8dbFVbHFnhkGaK8ItfRDW+NxVm/g04cqKt//OfncpeX/LMUxuUGzuncXwvd01qfijv6j9aRI2ksX0rkZV8M9d+cfJn73wdToX4vtr/klWOr8ydORiqhJWXNlv/0u6/+UZW5M8cSGx6r59I8l3d3z10TlZJwbt1QXFo3XC395TqCKst7ZUY3UuLpZC2g8sOb27sFSUEQcSq5tWVLRkYGROjGxsRooSs/60sxI6Nl2/vauZWxlfVdUjFaqw0kJIK9c+dOHDhQc1+es6O7YV37p9Fi6xOIUUuSSXmgSZTeRW7MWvWFxM5ZK38H7W7jIQloAhS6fvRBqF8nCSFqq8d/d69FyZGfp+zd37o3RZ92aNTevtovjqsztoToKHw+7hN0bdoFN7x5s8/lg1odW0ZOrnpoKRMxYTFITojH/tQ0n53DcPV0uuScir+HM8uLiJ37d2vfJRVDyv/ef06//py6VD+MJg+E/N+CoznW8h/aD//7WuX4hiAnz715gtqBKvxhdf6ki6LiIoQGhyJWCSyJvvtiqercycNoc297R+eId7rr6JcUd81d25ggDEkKxeXJ4TipghUSclW+c3psRyVse6gHyLq43ClMcmpFvLqKwJr1oaqdFHngTESuRDpDQ0NRUOAbn0NnnyGrY7O3ISJXIrny8NqOHTt0qoP99Zo4LlbLsm1uNQXNtv0PCWlbdJcj60cgS20p/MD6bJsLVv4OZucfvc9mgAfHNYFasoL18TGHMZHReqBpOc6FT1Zu6V/whMh4vwNS1bHJygQLx8/XIvemWb750FNVxrZ6xxqdurDwwU/R+6RTEa8i1r5YItR/klJSs53n32bmloq8hMgEp+5LBNC+jB16Kzo17IhrXx3p9MucfduaOq7K/KXmlPK4ru/VNeWm5X58ae6aRwbi7hYRWHV6IlZ2T8QTLaLLiVyJ82dGJ2Nn48FY03EK/mv/GvY0GoOsmFNdilyBIoJOijxM5qyIsJUSrL60mUUeMhOxK3mrcbFxNhvmdV95r8rYTN+9LXJNP4zAMGxr8SgOJEl6SWm5o1EkHjrh6L95Vfk7aNriOwkc/ZtNFiTghwQ6Ne6IutF18b8FT+CdJZ/44Qicu5yZl4lfNv+Kw1mp+PK+z22NdqfuQesxJ9vOa9NB+2YtMOmC8Zj06SNYu600uuOv45MVFuqqJ74nqPFEhUVjxuI3sVc9HBQeHoqWDZrj9LY98MoXs/x1eOX8rsrc1QsLxPn11Ooc9cMdlgCzN16i0njSY5sgI/509d4LxSE18yVexK883CXpDi1PaGlzSR7kWrNmje3cXw8kiivCXvJx5aE1rxc1zzub3IfAkidQ53Dpg9KT1I5qm3KK8ZFaa5eFBKpDgEK3OvRq+N7MnNKfhuNdRGyjI6K0R6kuIr417K6l7qoytjpqqS15sn1Fyt+Y8tHRJ2wtdVwDjasyNolUd2veVacvLFm3BL9v/hPpOelqNQ3f+lku98g6ovLwnLMSox6sk2JGOJ21kbowtbTRrFtn4M9ty/F/6qE1XypVmT/Jo5e1cuMi4nH3wDtx18CxDkPacmCL14WuN+YuVi37NVDl3Iq47a8eKHNWitXSXmlxrZAWfwYy486o9iYNziK29v26ioqa681KXq+sRVusVrgpLimN/trf783jqoxNxisiV6LW8vCZzxSVXrK92YMILJ6EhPTSNLzpbWPwX3Yx0mrx/30+w78WO0Kh60eTu/fQQRQWFaJ1vVYIVP8olM3TbVG/mR7N2l2+t3TYsTBXZWyypqyUmT+8WY7FsfqryetVGVuLus0hD/vcM/c+vPrFWzXprqW+ZFWEbQe3oUVSCyTGqA0tyuTpNk5uqO1JXnlF5Z6LR6N1cit0faiHz81lVeZPxipfOM+edB66tGqPDk3bqchuFHYc2onnr362IhQ1dq2m5k49T4Zean3ba+qHYahaCszZdrs6chvXHIcTeitx20uJ29IvSO6AITm4koYg+bbOiuS5SimwW0VB2kqOrls2TnDWqZvqqjI2M0XDJyK5ZTkEBCOlxQSErb8XkbnpCFNbM3/aORY9lh+q9P99zZKalrXK8+OcAHN0/egDUKh2m1r63/eIVj+Fdmld/oGzASeeo59WX7r2ez8aVamrVRmb+XS0RD99uVRlbDFK5Er5esViXx6a9m3R6m/0e6/OZ5TztW/ns3Xdt2uWlLtmVpx4Qhs8dN6DuPO9u5FS3d2YTKNufK/K/Jndi8BasXGtTqt5/cs5+PL3pWrJtDzzstffPTV3sm5B17hgPN0uClt6JuGzznG4TK2cYC9yJec2I7YhUppdidUnTsO2lmp5uoT+bhW5JmCJyopwlRUKyhbZVEFKRmam7ZK0lZKWnmar89UDq2Mzx2H++2me+8q7ERiJLS3HoyioNA7XKCwID7eMqLX/9/kK99rsB4Wun83uq9++rpfwefyKR9WT6UcXSW/duClG9hqBfRn7sHj50kqNqmFSHaeCuVI3e6CR1bEdPvIA1B0DRkNWXihbzuzcDV1blz7tX/ZaTZ9bHVtOfum2nReedr5TV+3n3mmDGqycqbaylYfKHr5oImQNYLMkx8fh3sF3I78wH3N/+MisdniPDIvEW7fMxNdrvsGcb31jlzcHB4+cWJ0/ZzZ8sa46cxektngtO3dN1UNl9yhRsuaMRPzcLQGjG0YivswuZdlqJ8cdjc/D6s4vqCfun8bhOuejJKi8AHUnLzN62aBBA9vSdmJfltWSHcTkQbW0tKOiVr6gSElIcJ6S40si0erYzHQH2QXNTNvQgz3yhyyz5uwLgX0bTx8XhjXCtuajbN3c2CACP/z2Rq39v882UB54hABTFzyC1XNGFy//CXN+eQfXnjEcPz7xDT79a77eAvg6tSVwcGAwRrw+yrYrmjMvRJC8OuolNE9shtjIWJ1H2HviEGdNa7zO6tj2Z+xX2+Lu1T+b//PsX5j72/vYp7bJbVqnKQZ2PgdNE5viujdG6ohajQ+mTIdWx7bl4Ba1IL96yO7ix3Bu54H4ecMvyCrIRj21SH/nxp302rPxIxqX6cU7p/Lg2OOf/U/tjjYRv0/+Ee/+Olfl3Ibh2jOv0TnUsuSbbB7hrNx5zh0oNkpw7hPnObvsM3VW508cb1anGUafP9JhDCKgZMvutCOrMjhc9MJJdeauSWITpOdm4LKnzsewRmG4Xi0L1cvFWrd5oZFK0J6CtIRByA+v+Z+WRcTKSzaFaNeuHdLT023b5Ipo3Z6y3bYrmkyDLCkmP/HXr18fMUr4yYNpMnciDEUcS/7uypUrvTBj5bu0OjYR9fKS9IwOHTpoLnIeps6j1Vhlx7ft27c7XXO4fO+eq8mMOwuH45cgMW2T7mR43mq8q/7vu6YW/t/nOYq0LAQodP3wc3DrtHu18Lmpz424f9C9yFYC6Lt1SzH506ewesvGCkckC/GLyF2eshx/bf0bP/23rML2NX3R6thW7fgHb/04Gzf0GYlrTr9KC6yUQ9vx88ZfMO7vifh2xfc1PQSX/VkZm0RBf9n0K75atQiXdr8Yo3pfj6jQKB2xX7t7HSYvnOqyH29cmPLRS/h35zqMHnAbxg4Yo9ci/WPrn3hm4fNY9s9yly7FRaqftF+6EvvT0l228ZULVuZPfJY866eumOLU/XQfemC0qnMXrH5aXvftGPzVMVjlUpb+/G8/WPnpOTWhoxK4A5ETeaLamKx0Iwb7NjV5vHXrVkgUUzaHSE5O1p9R+dlfdj+Th83si4haEbeZGZmIT4jXUV8RubLqguTFenr3MHtfKnNsZWxiTx5EO3TokGYhEW0R+yLuZcyygYZ9dLsy/Xuqza7GoxGXcQ+C1EOAHSKDMe2L8fhJfemvjf/3eYoh7ap/etRf6NLfaFzQWLz8Zwwef6uLq/5d/fnkaUrqZ2HoFN9d67I6hOc/9K6+fehkjq86HL1xL+fOG9Td12dtnb964YG4skEYHm6TiIjC8hsplCjBlB4nD5X1PfJQmW/nz7uacdktTMrGjRUHDlzd78v1/ja2pP3vocnOhRppepGBDr8dwuEC17Kltv7dMz9T8x9U/68XReP8h2qnLlv45DQM6HamOVy3vDOi6xaMNEICJEACtZNAiArE9qwTgpsaRuACtWqCehAeKCNyJe/2UGIvpMYPQEkNrXVbO2lzVGUJHKx7GZIO/oCIvCzEqXzv+1tE4kG7XdPKtuc5CZQlQKFblgjPSYAESIAEUF9Fb69S0dtblcBtrJ58L1uMsFAciDsJh+qch7yIVmUv85wE3EMgIETthnctWm96Vdu7TT2Y9ty2XOzPL3GPfVqp9QQodGv9FHOAJEACJFA5Amb09uZGETg/8Uj01u5W+cE4M6YhQjtfg6JGF2DX5hS7qzwkAc8QyIo9E1nRHyE664Beom500whM2uhbm+d4ZuS06g4CFLruoEgbJEACJODHBOqEBuCaRuG4XUVvmziJ3hYGh+JgUncVvb0AhWGN0bpJaQ6rHw+ZrvsZgT31L7NFdceoL2IvpORUmKvrZ8Ojux4kQKHrQbg0TQIkQAK+TKBDTBBubRyB6+o5buYgPuvordrQ4YBaNSEjvrd6dNk/HyzzZf70rfIEsmLOQHbkXESppfnCVaL4teqL2QtbcytvgC2PWwIUusft1HPgJEACxyMBSU/omxSKu5pEoHd8+W1xC4NDjkRvL9TR2+OREcfsgwTUih77ks9Hy22ztXN3NorE6ym5yGWqrg9Olm+5RKHrW/NBb0iABEjAIwRi1BPrl6mHy+5pEomW4eUfLsuKTsL+pEFIT+jH6K1HZoBGq0tAPpv5uz5EWGEe6oUGYkhyGObtza+uWd5fywlQ6NbyCebwSIAEjm8CsnrCTY3D9Xa8Inbti6x7m5rQFgfqXoTcqE72l3hMAr5HICAYB5LPRuNdi7RvNzQMp9D1vVnyOY8odH1uSugQCZAACVSfQFuVfztWpSdcWy8CQY76FkUqPWF/3dNVisIlKA5Jqn5ntEACNUTgcOIQNNz9NQLVXleSetM0MhDbc5i/UEP4/bIbCl2/nDY6TQIkQALOCXSNC8Y4taj+ELU8WNmSGxGtBO65SE0cBCMwvOxlnpOAzxMoDknUu+8lpG3Vvl5ZPwxPbeFDaT4/cV50kELXi/DZNQmQAAm4i8BpCcGY0DwK/RLKP2CWGVMf++pdpNbAVVtrqnQFFhLwZwKH6pyDhLQ39BDubhyF59TqC2p3YBYScEqAQtcpFlaSAAmQgH8QEIH7aMtonBXnuPyXAcm/bYX99S5HbmQH/xgMvSSBShDIVBtIAKVCV7YFpsitBLTjuAmF7nE8+Rw6CZCA/xLoHi8CNwp9yiwRJg+YHU7sgL31rkFheFP/HSA9JwFXBNRDaSwkUFkC/LRUlhTbkQAJkIAPEJBNHp44IQrnlsnBLQkIVDuXnahSFJTADWvgA57SBRIgARLwPgEKXe/PAT0gARIggWMSaBIRiIkqgjtc7WJmXySCKwJ3b/1rURRa3/4Sj0mABEjguCdAoXvcfwQIgARIwJcJxKocxLtbROCeRlEIDjzqqeTgHqrTUQnc61QEt+HRCzwiARIgARKwEaDQtaHgAQmQAAn4DgHRtLKT2dQTovUuUPaepca3xJ6Go5Af3ty+msckQAIkQAJlCFDolgHCUxIgARLwNoF2Kg/3tbYx6BHruJJCZnQydje6HjlRJ3rbRfZPAiRAAn5BgELXL6aJTpIACRwPBKLUFmaSpvBAkyiH3czyQ8Kxq/GVSI/vz3Vwj4cPAsdIAiTgNgIUum5DSUMkQAIkUHUCsqPZ7I6xOCE8yGZEVlLYW/8stRbucO5kZqPCAxIgARKoPAEK3cqzYksSIAEScDuBMLVR2d0tIzGhaRQC7TYtk93MUpqM5Vq4bidOgyRAAscTAQrd42m2OVYSIAGfItA0MhDvdIpF9+ijubhFQcHY2fhSpCaexzQFn5otOuNLBA6qFUc+X78K6fkFvuQWffFBAhS6PjgpdIkESKD2EzivXihmtYtFtMrLNUtGbEOkNL1PrYebbFbxnQRIwAmBHc3G4cklV2Hn4WwnV1lFAkcJUOgeZcEjEiABEvA4gVClax9tE4U7G0Xa+pJc3F2NBuNg3SsZxbVR4QEJkAAJVJ8AhW71GdICCZAACVSKQFxIAGarVIUBCaG29nnhkdja/G7kRba31fGABEiABEjAPQQodN3DkVZIgARIoEICsoXvgpPj0S7i6KoKhxNaYUfT+1ESFFXhvbxIAiRAAiRQNQIUulXjxrtIgARIoNIETooNxucnxaFuSOkevoa6c3fD/mrZsBFMVag0RTYkgaMEmqQ8iXGNi5FeNwoPrWee7lEyPCpLgEK3LBGekwAJkIAbCfROCsH8TnEIP7J2mOTjbm1+HTIS+ruxF5oigeOLQNKhf3F9kkiYYArd42vqLY+WQtcyMt5AAiRAApUjMFitrPBB+zgElwZyURgcgs0n3IPcqM6VM8BWJEACJEAC1SJAoVstfLyZBEiABFRMSa2kIBHbnGIDJUeANNr/FT7qEGfbBCIvNAKbWj+CwrDGREYCJEACJFBDBCh0awg0uyEBEqhdBGRHs37JoRjXLBJdokJQYBgIDQjA39mFSD68CE22fq3yb0vHnBsRg00nPK7Wx61buyBwNCRAAiTg4wQodH18gugeCZCA7xFoHxOERWoFBRG28RLOVSVcHUvppnY5MzYqkXuk5ETGKZH7BIpDEswqvpMACZAACdQQAQrdGgLNbkiABGoHgXZK5P7QNQExR3Y0y8orwb0f78eXazKwP60ECTEB6NwoHK9d1RAt6oZgV8NrKXJrx9RzFCRAAn5I4MgjEn7oOV0mARIggRomIOkKX6tIrilyVbYCzvm/bXjj+zQ0TgjGk5ck44aedXAwqwhbswJ05kKLrdMQUJJfw56yOxIgARIgASHAiC4/ByRAAiRQSQKSkyvpCmb5ck0Wft9YgFYNgvDTvS0RdCR08PhlDZDXZQzw23MIMEoQn/oNUuucb97GdxIgARIggRoiQKFbQ6DZDQmQgP8TkAfPzJxcGc0f2/L0oM5uE6NFbm6BgdS8YmxMGoLwnYFIzAlDRGAxQrYvQn70AISGhiLATij7PxGOgARIgAR8mwCFrm/PD70jARLwEQISrJXVFeyLqVnNGO9zSw5j4icHVJNn0aNHD5x11oCjzdd/qo+Dg4Nx4oknok2bNkevqaMNGzYgLy8PISEhWhCXfReRLHWBgcw4cwDHExIgARKogACFbgVweIkESIAETAKR6uEzWULMXF1B6k9tHqEv/7QpE4ZRH907JqPHrhb4/fc/zNvKvRcVFWHl7lXYZqQgJjym9BWqlh/bvAkZ6Rnl2petEKEsIrpJkyYOl/755x/lg6HFcFhYmEvBTKHsgI0nfkpgT/1eeHvldzicw/x3P53CGnObQrfGULMjEiABfyYgm0HY5+fKWAZ1jMJprUPxm8rTPeu5FJzcrjHCC9P1MBPjItAsYgfyisOQWxKO/QWhalOJcH3ts38/x9ble/Wx+cfV9YaiTkiieeryXYTyr9t/w9rsdVokR4dHIy4sDhs3bkRhYaHL+8wLIpT79u2LxMSjfYlA/uuvv7Q4dhZJNqPJ8k6hbJLkuzcJ7G14C2Yu+hE7D6d50w327QcEKHT9YJLoIgmQgPcJyI5nshmErJNrFkldWHRHc9w3bz++WJ2OPzdtRFJcIAb3Ow0P3XIhzjz0um76V1Yhev6RpldhCAsIRrF6QK1sWZ61AlFBkQgLCENYYOkrXN7VubyLSDaF8jvL38fBwkwHE6MbjVC7sB07rUGE8uLNSxC7P1YJ5WjEhsYiKjgKmzZtcrDn6iQoKAh33XUXIiJKo9nSTlIuVq9ebRPKziLKIpIplF1RZT0JkICnCFDoeoos7ZIACdQ6Ak+m5GBm21iHB9JiwwPx+jX11VjlVVoCBj+mD4wvgbQiA0+o+6So1ciQZxTp47J/rM/eXraq3LnkAotQLjCKHa5J/dL0H1XEOaRUKAcdEcpHRLNNKAeE64fhpv80CzklR/2IDgrFyAbXONh0dVJcXIzUgjRkG9lYtvVnxISpB/EKgrB582ZXtzjUh4eHY+jQoQ516Wlp2KAi0hJNNiPKpjA2z+VdBDQjyg7oeEICJHAMAhS6xwDEyyRAAiRgEliyvwAFbUSumo+fmVdcv0te73fqPncUV0JZ6v/N2nLMLkqFchDyywjlopISfJu2VInkUKdCWSLM4TqyHI5CoxBbU7fqvu7/+FH9Xi80HlckX3zM/qVBTmEO3l/5oRbIsZKjrIRyUVphpYWypFwMGGD3kJ+yuW/fPmzfvt1BKGuBHKKiyGGlkWRTMEtEmoUESOD4IUChe/zMNUdKAiRQTQL5SlEOXJmGH+12RqvIZKbK65X2cp8vFHEjr4zIFb8kyrw2q1S8HsvPsIAgDMJgh2bZxTlYnPqdTrEIFbEsEWUljCNUukVoYGlusimU9+cewIffLnS4v3VkYwxKdBSvDg3sTvbn7Mfcvz9wEMo5e7OxY/MOu1auDxs3boyePXs6NEhJSdFiWaLIIoglwhymIs+HDx1GSKhaBUMizeqaGVHmEnEO+Lxy0mLTA3ixRQmyG8Xg2tWOaTxecYid+iwBCl2fnRo6RgIk4IsE/sssxlkrUvUOafJwmv26uqa/hSoFV0SltJP2tamUjQbL2LKKC7Aue1ulhqkWSCvX7kDBIS2Uw5Qo1jnKR4SyzlE285OPRJQ3pW7BN5uWOdjoFtseZ8ae7lDn6mSLikZv/3ung1BO3X4YB3bJsnClRfKNXZW2bduiS5cuDpfX//cf0jMyHCLKOvVCRZQplB1Que0kPmMnBsdJdD4I14JC121ga6EhCt1aOKkcEgmQgGcJiHhts+wQ+qqd0sarTSRkfd1CWdpLCV95YC04x8A+FcatbSLXHVQLUf5BvLSiXJXLvK1S5oOcpI2k5O5ETvESFT0uTbEojSKXPsCnj1Vuspmn/Peelfh9vaOQ7ZvQA52iOlaq/5X7VmHt3/8hRi0JZ6Ze7Nu+FxmHMyp1f7du3dC6dWuHtitXrkR+fn659ZPNvGQzoiznsmoGI8oO+HhCAhUSoNCtEA8vkgAJkIBzApKO8NW+Av2SGKWssytLkImMm99P4rksniBQrGPljpZlBYqyq1A4tjh6FuhEKK/NWY89BXt1moWkXlzc9SIU5RepZeN+KxXIARFqJYxQlYoRoR/AW7cm5ahBdXRx3QFoHNbYoc7VyQ/bfsTvmX/qiHJcuFr5QuUob9+egvxKrgd7Vq+z0LBRQwfzv//+uz4385DNFAzzPExSMo6kZchSchTKDvh4UssJUOjW8gnm8EiABDxPQMRtlhK5LL5PoMSJUN6bnwZ5mWX86eP04cRfp5hVtndnjyH+nvkXRCyLGNY5yjrdwn6JuKMR5W/WL8HOvIM2e3JwfYPLEBMU41Dn6uTzDQsRuS8SsWGxOqIcHRKNbdu26c1CXN1jX3/rrbciKSnJViVrL//222+2aLIWx0dykuXYfqk4EdCMKNvQ8cBPCFDo+slE0U0SIAESIAHvE3D2dWZX3iHlmLyqVpam/ajXTpb0ihAVUQ4/8gBfadqFCOZw/WCfrKP82aovVJpHrq0jyXm+tfEI2/mxDg4XHEZRRhHmr1mghXIEIrBr165j3Wa7fvnllztEhLOysrBixQqbIK5IKJsRZpsxHpBADRCg0K0ByOyCBEiABEiABFwR2Ja7z9UtEMOIAAAxRElEQVSlY9ZLhPrzQ1+ptAsVfdURZclNFnFc+mBf6fGRiLLKVd6Xux8HCg7iqUUva9vxwZG4tv6Vx+xHGpQElOC1X9+A7MYnKReSoxySF4zdu3dX6n7ZZOTCCy90aHvgwAGsW7fOFlEufYivdJULUxib7/qaiiqzkIAVAhS6VmixLQmQAAmQAAn4EAHJWd6au6fSHg0MOtehbZ5aMePzQ1/q/GRTKIdp0SwP9oWXCma9K18YCtUmI+/+Ot/h/ibhSbgo6QKHOlcn6QXpeGXZNAehDLVj9sHdR1e8cHWv1EvKRf/+/cs1GVCnJ/JL8pFfnI8tKzcjWC0J1yqykaor0Os+F5QUat8LlP/OVg0pZ5AVtYoAhW6tmk4OhgRIgARIgAQqT0DWUN6au7fyN5RpebggAwsOLSwVyrKGsl00WW80os9VRFktD3dA5SYv/O17Bwsdolugf3wfhzpXJykZ2/Hysle1UO5it0pdu4g2tlu2rd6mjwcnDrTVmQf/ZK/B96l/mKd8P04IUOgeJxPNYZIACZAACZCAuwlkq6hpdjVSL3aqaPSCYiWUtUhWD/MdSbmQ6LLkJJcK59Jl4zarTU2WbVmhhxDWPEK/tw6Pr/SQJOrLcvwRoNA9/uacIyYBEiABEiABnyCQUZyHjNw8y768tK30gTzZsCUu+IsjqRdhuL7ntSguKMZXfy/SIlmLZb3ZSBhySnIs98Mb/J8Aha7/zyFHQAIkQAIkQALHJYG0ohy1CsVRAXtCl1aaw/3fPXZc8uCgyxOwy3Ipf5E1JEACJEACJEACJEACJOCvBCh0/XXm6DcJkAAJkAAJkAAJkECFBCh0K8TDiyRAAiRAAiRAAiRAAv5KgELXX2eOfpMACZAACZAACZAACVRIgEK3Qjy8SAIkQAIkQAIkQAIk4K8EKHT9deboNwmQAAmQAAmQAAmQQIUEKHQrxMOLJEACJEACJEACJEAC/kqAQtdfZ45+kwAJkAAJkAAJkAAJVEiAQrdCPLxIAiRAAiRAAiRAAiTgrwQodP115ug3CZAACZAACZAACZBAhQQodCvEw4skQAIkQAIkQAIkQAL+SoBC119njn6TAAmQAAmQAAmQAAlUSIBCt0I8vEgCJEACJEACJEACJOCvBCh0/XXm6DcJkAAJkAAJkAAJkECFBCh0K8TDiyRAAiRAAiRAAiRAAv5KgELXX2eOfpMACZAACZAACZAACVRIgEK3Qjy8SAIkQAIkQAIkQAIk4K8EKHT9deboNwmQAAmQAAmQAAmQQIUEKHQrxMOLJEACJEACJEACJEAC/kqAQtdfZ45+kwAJkAAJkAAJkAAJVEiAQrdCPLxIAiRAAiRAAiRAAiTgrwQodP115ug3CZAACZAACZAACZBAhQQodCvEw4skQAIkQAIkQAIkQAL+SoBC119njn6TAAmQAAmQAAmQAAlUSIBCt0I8vEgCJEACJEACJEACJOCvBCh0/XXm6DcJkAAJkAAJkAAJkECFBCh0K8TDiyRAAiRAAiRAAiRAAv5KgELXX2eOfpMACZAACZAACZAACVRIgEK3Qjy8SAIkQAIkQAIkQAIk4K8EKHT9deboNwmQAAmQAAmQAAmQQIUEKHQrxMOLJEACJEACJEACJEAC/kqAQtdfZ45+kwAJkAAJkAAJkAAJVEiAQrdCPLxIAiRAAiRAAiRAAiTgrwSC/dVx+k0CJEACJEACJOB/BGLDw3F3/zFoXbc1AgPcG2+Lz4/TQOaOnOF/YCrhcXyBGp8RgA/vnlKJ1r7bpAQGNuzZjuc+m420nGyPOkqh61G8NE4CJEACJEACJGBPQETu6R1OQ3BkCBBgf6X6x+0bt9dGineWVN+YD1po30jGF4jilM0+6J0FlwwDSUl19A2T5k6zcKP1phS6TphNGnaPrn1s7rO2q87q5KKzemd17mhr1Ua7+m3lFodixTe50Vl7Z3U13Vb6q+74rIyjpsfnbGyufHBVb2V8nmrryjcr47Pim6v+rNhwR1tPjc8dvrnDhrPxWbHrK/Pkyufqjs+VXSv1nmrrbGyu5sNVfXV9k0huq2atEBAQgK0Htkk3urSo21y/29dJhZX68OBwbaPsH85sOKuz2p8VG+5oW3Zcfnuu5j44IgxtGjT1+BAodJ0g7tq8a7laZ3XSyFm9szp3tLVqIzYiVm5xKFZ8kxudtXdWV9Ntpb/qjs/KOGp6fM7G5soHV/VWxueptq58szI+K7656s+KDXe09dT43OGbO2w4G58Vu74yT658ru74XNm1Uu+pts7G5mo+XNVX1zdJV4gOjxbzDiUqLMrh3DyxUu8qFcKZDWd10qeV+ppuazKpFe9K7Aa6O6TvBIx7k2OcdMAqEiABEiABEiABEvBXArNfext5Obk298deewcy0jNs51U9+OOn33HXiDurejvvqyQBCt1KgmIzEiABEiABEiCB44/AgvcXIDcnzzbwF2f/H2Ljyv9iamvAA58iQKHrU9NBZ0iABEiABEiABDxN4O1X30L3k7rrl0Rsd6bsxLBzrsS428eha+euuHzo5TqK+87rc3Do4CGMGT4a55w9QLt16dmXIPVgqr6nS6cuGHHNCFzZ7wp9789Lf8aNl9yAkzqchF+W/aLb//PnKtxw0Sic3u109D6jNzav9/MHyTw9OW62zxxdJ0BXbFtRrtZZnTRyVu+szh1trdrIyC3/04oV36z258y2szp32BUb1R2fFd/c4bOV/pyNzZUPruqt9Oeptq58szI+K7656s+KDXe09dT43OGbO2w4G58Vu74yT658ru74XNm1Uu+pts7G5mo+XNW7w7fs/KNLSq37cy02rNyAzzBfuixX7OubtmmKLr1Ln6Mxbfz9wwps37Bd3ydte5/dG/GtExzsmG2lcs3fa7D488VYtPRrtVQXMODsc3DK6d2xI2UH7nvsPlxywSW4ddStmPvmXFw/eiTmz52Pl+a8jK7tu8DejtjasX0HXp3xKu5ueA9GXng9Fi/4Bm/Mm47VP/2DqVOm4onXnkSLti3x2kevo3WDVli8aDFee2Yanp7+jNyuS1mbUumsrrQ1/7RKIMBQpaKbFi//GYPH31pRE7+99vlktaRFcBaGTrnab8dQkePzH3pXXx46meOriJMvXuPc+eKsVN4nzl/lWfliy9o8f74wNlnjNrlZsm3qTaFrq6jgwF7oms3sha7UndHrDNRtd9S+2c58n/P6bKSnZmD0g6N11UuTX0JCYjw+fe9TfPzDJ7ru1x9+xby3P8Kzbz4HieBOnzcDCUml4tk8z87Oxj0j78YHSz7U90wcMwGn9joV519+AbZvTcH40RMwZ+Ec7N6xG8898iz27NqjV5ooLirG3MXvQ3J0586ci+ffesF07ZjvnRp1VG0Cscbflxc7MtL923fj8ucetI174ZPTMKDbmbZzdxwwdcEdFGmDBEiABEiABEigVhGQ5c+OVYJDjv4wHhAYgNDQUH1LYGAQSoqL9bFEcE8+9WS8u+g9THltKgoLC49lltfdSODoDLnRKE2RAAmQAAmQAAmQQGUItO/eAfKqapFUBjOdoVNjiXiq9ISd/7o017VHN0x5aDJuuGMUStSP2r+p6O34qRPw2rOv4e/fV6BLj65Y/Nk36NS1k7YRHhGOrKwsW0TXpWEXF3KycpBcvzTCvOCDBS5asdpTBBjR9RRZ2iUBEiABEiABEvA5Ah1P7oj+5/fHqItH6QfHBg4diNj4WDRp1gTzZn+MYQOGITMzE1def6X2fdBFg3DfDffi1ituqdJYrr7parz5f2/i2iHDIWkLLDVLgBHdmuXN3kiABEiABEiABLxM4LrbRkBeZpFVFwKDAvHEK0+YVbb3q2+6BvIyy7zvP9aHkrMr6QhmeezFx81DNG7W2HZNIsTvL/nAdm3MuDH6+NRePVRObw9bPQ88Q4ARXc9wpVUSIAESIAESIAESIAEvE6DQ9fIEsHsSIAESIAESIAHvErCPwHrXE/bubgIUuu4mSnskQAIkQAIkQAIkQAI+QYBC1yemgU6QAAmQAAmQAAmQAAm4mwCFrruJ0h4JkAAJkAAJkAAJkIBPEKDQ9YlpoBMkQAIkQAIkQAIkQALuJkCh626itEcCJEACJEACJFBrCMhWvSt++6ta4xnYdUC17ufNVSdAoVt1dryTBEiABEiABEiglhNY/utfWLV8VS0fZe0dHjeMqL1zy5GRAAmQAAmQAAm4IHDPyLtx6MAhFBQUYOiwobh8xBX48dsfMfOFGSgpKUFMXAzGTRmPr+cv0ptJfPfVUowddwcWfLgAZ/Y5EwOHnqstS7T26xXfIDsrG/fdeC+yM7NRXFyM62+/Hv3O6++id1bXFAEK3ZoizX5IgARIgARIgAQcCJzxwyiHc3ednKEM/dJ7ZoXmJj4zCfGJ8cjLzcWoi0ah76C+eOGx5/Hi7P9Dk+ZNkHY4TV8XQRsRGY7rR4/U9kToOith4WGY+vpTiImNQerBVNx8xU3oO6QfAgICnDVnXQ0RoNCtIdDshgRIgARIgARIwHcIvDfjPfz6/S/aodRDqZg352O069xei1ypFBFsqRjAy0++hLWr1gKBAVrsHtx/AHXrJVsyw8buJUCh616etEYCJEACJEACJODjBOQBs5V//I3p86YjPDICt1x+M9p0aIPtW7cf0/PgoGCd2iANJcVBUh+kfP7RAqSnpWPWgrcQHBKMS8++BPl5pdd0A/7hFQIUul7Bzk5JgARIgARIgASOlV5glVCnxh31LWt2/lvhrZnpmYiKjtIid/P6zdi4biMK8vPx3+p12LFth0PqQmRUhMq/zbHZq9eoPtavWY9BFw/Gd18uQWFBob6WlZmF+IR4LXJ/+/E37N2913YPD7xHgKsueI89eyYBEiABEiABEvACgV79z9IPjA0bMAyvTn0Frdu3RmJSIsZOuBPjbx+H4YOvwYTR47VnvQf0xm/f/4rhQ4Zj+c9/4pJrLsbqFat1mzUr1mjBLA3Pu+R8bPpvE64ZdDW++uRLJZabemFk7LIsAUZ0yxLhOQmQAAmQAAmQQK0mEBoeiv+b85LTMYqwtS8tWrfEnK/esa/CzPlv2s7vnHSXPk5ISsCMT50/ACerMrB4hwAjut7hzl5JgARIgARIgARIgAQ8TIBC18OAaZ4ESIAESIAESIAESMA7BCh0vcOdvZIACZAACZAACZAACXiYAIWuhwHTPAmQAAmQAAmQAAmQgHcIUOh6hzt7JQESIAESIAESIAES8DABCl0PA6Z5EiABEiABEiABEiAB7xCg0PUOd/ZKAiRAAiRAAiTgJQJnteul18W9auAwvR7uW6/Msu12JmvkTh03pUqeyW5oqQdTq3RvTd60M2UHvpj3aYVdzn59Jvp1OQ2Z6RkVtvP1i1xH19dniP6RAAmQAAmQQC0mEJEZ7rbRbV63GSe0P+GY9iLUtr9zFs7R7Q7tP4hJd07Su5/d/sDt6Ny1s34d04gfN9i1YweWfPk1zrv0Ipej+P6bb3FC29ZYvHARLr7q8nLtigqL9C5w5S74WAWFro9NCN0hARIgARIgARKoOQJ1kpPwwBMP4PYrb8dt99+GP5f9gbkz5+L5t17AHz/9jpemvKydCVB/vvr+NKxd+S9m/t9MiFjeu2svOilhPG7KOAQGOv5Ifs/Iu3HowCEUFBRg6LChuHzEFdrOj9/+iJkvzNAR5Ji4GLw6dxpysnPw1ISpSNmyHcVFRbju1uvQ77z++PS9T7Ds22XIz8vXWwrfcsstKFQCc+777yMkOATPTn8F8YkJ2L5lK55+9EkVfU1HaHgYHnh0khapk+56AFFRUdi4fj3SU9Nww5hbMfDC8/DG8y9jz+7dGH7BpThnyLm49uYbHICLvby8PIy9637MeWOmTeh+OvdD/LRkKfJy81BcUoLnZ7yKpyY9jpRt25TfxbhO2ek3eCAkYvzYA+OQn5uv7Y4ddx+69uju0EdNnVDo1hRp9kMCJEACJEACJOCTBJq2aKaFp0R37YsI3rvUtsBdT++mIr7ZCFMiUops9TtrwSw0atoYY4ffgcULvsHAoefa34qJz0xSIjReicJcjLpoFM45fwAMJQ5feOx5vDj7/9QWwU2QdjhN3zP9henoelpXPPL8o8hQqQI3XXwjTu9zhr62Q4nGN+fPQoESu9cOuRb33n8fZn/2EZ5++H9Y8NEnSqSOwpRJj+H+RyaieauWWPXnCjz72JN49d1Z+v7Dhw7ijQ/mYPP6jRg/9h4tdG+6azTef3M2nn/zNQefzZNFCxbirH590P2MHnjq4cdwYN9+1K2XrC9v27wVb348VwvsFyc/rfw+FY88OwUZaem46YrhOL13TyTVrYOX3pqheW3btAWP3vcQZn36gWm+Rt8pdGsUNzsjARIgARIgARLwFwIdu3TEyyqi23dwX/Qb0h8NGjfQrrdq1woijqXItVXLV5UTuu/NeA+/fv+LbpN6KBUpm7fhsMrfbde5vRa5ckGEsJSVv/+to8cfzZ6nzwuLCrF7x2593OnkToiOiQbUKzIyEhcOHYp0FOCENq2xaf0GJcCzsHHdeky8+37dXv6QtAKz9OzbR0ebW7dvi4yMdLO6wvcfFn+HJ158Rt93eq+eWPzFl7hq1Ah9T+cuJ2mRKycr/1iOP5b9io/mvKevFRYWKL93oV6D+pg66WFs27wZASrSvXf3Hn3dG39Q6DqhPmnYPbr2sbnP2q46q5OLzuqd1bmjrVUb7eq3lVscihXf5EZn7Z3V1XRb6a+647Myjpoen7OxufLBVb2V8XmqrSvfrIzPim+u+rNiwx1tPTU+d/jmDhvOxmfFrq/Mkyufqzs+V3at1HuqrbOxuZoPV/Xu8K1F3eZiHlsPbNPv7vwjPLh8zq+z/uzrtm9N0aJO0hgy92YhLLg0cnvD2BvRq99ZWPbdTzpy+/YHsx1cFRsJUQkICJDEhqNl66qt+PevfzF93nSEqxSHWy6/GXFh8QiOLS+7xEZwQDAmvDhRpRuU5hebvq1e8Q9CQkJshiU9IlxFldPzCpSADFDpA8UoKTYQFR2FOQtKRbKt8ZGD0NCj9xslRtnL5c7X/7sOe3btwr23jNbXilQqRd3kujahK+Mxi2EYeOz5p5TobmVW6fdXn3kBCXUS1LV5yr8S9O92usP1mjwpT7wme/fRvro271rOM2d10shZvbM6d7S1aiM2IlZucShWfJMbnbV3VlfTbaW/6o7PyjhqenzOxubKB1f1VsbnqbaufLMyPiu+uerPig13tPXU+NzhmztsOBufFbu+Mk+ufK7u+FzZtVLvqbbOxuZqPlzVu8O3qLAoMe+REhjgmCsrnTjrz6w7rPJon5rwFM69eJAWrBEh4Vr0yn3bt6Sgbae2+rVrwy6kbNwm1diyYQt2bNuBDg3a46vPv0L/C/vrevOPgux8xMfHaZG7ef1mFXHdCLF76tmnYtK4SfpeM3UhqnEUevfpjQ9nfYAHJz+kfVi7ah26n3qKaa7Cd8nzTUpOxqLPvsC5Kv9WxOd/a9aifeeOLu+TvN0clVLhrCxa8AWGjbwON95xm+3yZf2HYNf2nbZz86CLyrv9cPY7ePDxh4/4vRodTuqM7Mws1K1fT3Oc//48iFj2Vin/afCWJ+yXBEiABEiABEiABGqAQG5OLk7rdhpOOekUjL1uLLqpHNxb77u1XM/vTX8PV597FYYPugZBIUE4TwlJKS3btMSzDz+Dbid2Q5MmTdD//HMc7h1ywRD9cNawAcPw6tRX0Lp9a329Xv1kjFU5v+NvH6eXNZsweryun6QeHisqLtZ1suTZ44885mDvWCcPPz0ZCz/5TD1cdgmuHnIRZMWEikq7jh0QpKLD0n726zMcmi5b8j36DnQcT4+eZygh/blDOzm5+c7ROk1i+PmX4CrV7/QXX9FtLht+lVrVYZG2v33LFh1xLndzDVUwoltDoNkNCZAACZAACZBAeQK5MXm6slPj0gjkmp3/OjSyUn9qi8o92f/jfz/Bld3+A/pDXuKHRFjNYraX88ioSL0qg1ln+jzv+4918/DwcHzx9RfaRtn7ew/oDXnZF7E38emJtirT7kVXXQxcZavGmvVr1Ekg9qVk4qJhR5f8atK8KV56e/rRhkeOHnt+qkPd138s0+fBKp3BfFjNoYE6+ejbhWWrcO8jpYK87IXwiAhMnPq/stX6obg5n5eykIt3TniwXJuaqmBEt6ZIsx8SIAESIAESIAESIIEaJcCIrhPcK7atKFfrrE4aOat3VueOtlZtZOSW383Eim9W+3Nm21mdO+yKjeqOz4pv7vDZSn/OxubKB1f1VvrzVFtXvlkZnxXfXPVnxYY72npqfO7wzR02nI3Pil1fmSdXPld3fK7sWqn3VFtnY3M1H67q3eFbdn62mHcozuqkgZX6EqPEwaZ54syGs7rK9Hdqrx6QV2Xamv27q629PR5XjkCASlqu8BG8xct/xuDx5fNWKmfet1t9PnkaEJyFoVOu9m1Hq+jd/Ife1XcOnczxVRGh127j3HkNvVs65vy5BaPXjNTm+fOFsc0dOQPJzUrXZHX3JJs/+ZupBO627217nRpJekcg1qRs9rYrbul///bduPy5o2kNC5+chgHdznSLbdMIUxdMEnwnARIgARIgARLwOAEdda0wxOZxF9iBLxBQcdYSeP6DQKHrC5NNH0iABEiABEjgOCGw8cBGFOUUogY0znFC1A+HqURukdoeeMOe7R53njm6HkfMDkiABEiABEiABEwCz337Eu5WJ63rtoazNW/NdlV5X5deGr/bn7a/Krf7/D16fEYA9h8+5PO+VuSgRHJF5D732eyKmrnlGoWuWzDSCAmQAAmQAAmQQGUIZOTl4ZEvnq5MU8ttzBzkYW/eYPlef7hh/oPq2ZuiaIe8Vn/w25s+MnXBm/TZNwmQAAmQAAmQAAmQgMcIUOh6DC0NkwAJkAAJkAAJkAAJeJMAha436bNvEiABEiABEiABEiABjxGg0PUYWhomARIgARIgARIgARLwJgEKXW/SZ98kQAIkQAIkQAIkQAIeI0Ch6zG0NEwCJEACJEACJEACJOBNAhS63qTPvkmABEiABEiABEiABDxGgELXY2hpmARIgARIgARIgARIwJsEKHS9SZ99kwAJkAAJkAAJkAAJeIwAha7H0NIwCZAACZAACZAACZCANwlQ6HqTPvsmARIgARIgARIgARLwGAEKXY+hpWESIAESIAESIAESIAFvEqDQ9SZ99k0CJEACJEACJEACJOAxAhS6HkNLwyRAAiRAAiRAAiRAAt4kQKHrTfrsmwRIgARIgARIgARIwGMEKHQ9hpaGSYAESIAESIAESIAEvEmAQteb9Nk3CZAACZAACZAACZCAxwhQ6HoMLQ2TAAmQAAmQAAmQAAl4kwCFrjfps28SIAESIAESIAESIAGPEaDQ9RhaGiYBEiABEiABEiABEvAmAQpdb9Jn3yRAAiRAAiRAAiRAAh4jQKHrMbQ0TAIkQAIkQAIkQAIk4E0CFLrepM++SYAESIAESIAESIAEPEaAQtdjaGmYBEiABEiABEiABEjAmwQodL1Jn32TAAmQAAmQAAmQAAl4jACFrsfQ0jAJkAAJkAAJkAAJkIA3CVDoepM++yYBEiABEiABEiABEvAYAQpdj6GlYRIgARIgARIgARIgAW8SoND1Jn32TQIkQAIkQAIkQAIk4DECFLoeQ0vDJEACJEACJEACJEAC3iRAoetN+uybBEiABEiABEiABEjAYwQodD2GloZJgARIgARIgARIgAS8SYBC15v02TcJkAAJkAAJkAAJkIDHCFDoegwtDZMACZAACZAACZAACXiTAIWuN+mzbxIgARIgARIgARIgAY8RoND1GFoaJgESIAESIAESIAES8CYBCl1v0mffJEACJEACJEACJEACHiNAoesxtDRMAiRAAiRAAiRAAiTgTQIUut6kz75JgARIgARIgARIgAQ8RoBC12NoaZgESIAESIAESIAESMCbBCh0vUmffZMACZAACZAACZAACXiMAIWux9DSMAmQAAmQAAmQAAmQgDcJUOh6kz77JgESIAESIAESIAES8BgBCl2PoaVhEiABEiABEiABEiABbxKg0PUmffZNAiRAAiRAAiRAAiTgMQIUuh5DS8MkQAIkQAIkQAIkQALeJECh60367JsESIAESIAESIAESMBjBCh0PYaWhkmABEiABEiABEiABLxJgELXm/TZNwmQAAmQAAmQAAmQgMcIUOh6DC0NkwAJkAAJkAAJkAAJeJMAha436bNvEiABEiABEiABEiABjxGg0PUYWhomARIgARIgARIgARLwJgEKXW/SZ98kQAIkQAIkQAIkQAIeI0Ch6zG0NEwCJEACJEACJEACJOBNAhS63qTPvkmABEiABEiABEiABDxGgELXY2hpmARIgARIgARIgARIwJsEKHS9SZ99kwAJkAAJkAAJkAAJeIwAha7H0NIwCZAACZAACZAACZCANwlQ6HqTPvsmARIgARIgARIgARLwGAEKXY+hpWESIAESIAESIAESIAFvEqDQ9SZ99k0CJEACJEACJEACJOAxAhS6HkNLwyRAAiRAAiRAAiRAAt4kQKHrTfrsmwRIgARIgARIgARIwGMEKHQ9hpaGSYAESIAESIAESIAEvEmAQteb9Nk3CZAACZAACZAACZCAxwhQ6HoMLQ2TAAmQAAmQAAmQAAl4kwCFrjfps28SIAESIAESIAESIAGPEaDQ9RhaGiYBEiABEiABEiABEvAmAQpdb9Jn3yRAAiRAAiRAAiRAAh4jQKHrMbQ0TAIkQAIkQAIkQAIk4E0CFLrepM++SYAESIAESIAESIAEPEaAQtdjaGmYBEiABEiABEiABEjAmwQodL1Jn32TAAmQAAmQAAmQAAl4jACFrsfQ/n97ZwIdRZHG8T8SjoQQQJ4EUY6onHJowqFyiBBAueRw9yGIK+IZRWXxoQGVRRBYfcjKukEBufFg5RDkKZIAawBBbuTw4EaEcCSEhCRAkO2qcZpJpjuZlp6kq/Pv9zLdU1X99ff/fdU130y6q2mYBEiABEiABEiABEigOAkw0S1O+jw2CZAACZAACZAACZBA0Agw0Q0aWhomARIgARIgARIgARIoTgJMdIuTPo9NAiRAAiRAAiRAAiQQNAJMdIOGloZJgARIgARIgARIgASKk0BIcR6cx/5zBDpGt0a7hm0QExWN5nViUDmsMqaumY4Xpr5qarDJLXUR33s42tZriwplw7Dn+F5MXTUN85IW4vcrV0z3K+qKSmGh6BjdHt2ju+LOWneidtVauHDpArYe2Ybpa2ZgyboVuGLgryr6BM9X/jIELW9pgUY1GiIyIhLnL2bhwMn9+HzTIsxJ/BjpWdl+2FXSl9/5bq06YOGLC2Rx/4SBWLT2q/xN0KZpc7zcbShaRbVE6dKlsf3IDrz/TQKWfrfSr21xF+yatAG3Rd5m6MaxtGO49blmfnWMnx+SYilw87lXEsZON3/2FcsJUUIOykRXwUCP6vsaWka1QHp2Og6fPiwT3YJk3NusJb4c9gWyL2Vj9rq5SM08gz4xvTH18Q/Qpn5rPPWfoQXtXqR1XVrEYs7TM3HkzFF8s+sbzP/uE1SvFIn+d/XDJ3HzMPeOeXjy/Zfy+KSSPuH4iO6vYsOBjVi+4yucPHcSFcpVQOt69+Cdfv/E87HPoe0b9ymtz9f5apUrYdrgD2RfrRRaybdK3+7foTdmPDENKekpmJ48Q36xGXD3w1gw5BO8WXMMxi14T2/rlI3UzFRM+PJtP3cyL2T6lanWP30FuC1+gZx7J8+m6whUil1JGDvd/Nmndzpu2E6Aia7tSINvcOjsYUhJO4VfT51CdN1GWD/6W9ODhpQOwaynP8Ll3y+j3egO+PHIIdl20qIELI7/FI+2HoiF3y/Gik3mNkyNB6Fi/4kD6DThAaz9YXOeX27H/fdtrB2zCgPveQSfrl+ApK3r5dFV0yecjhxcGzm5uX70hvV5Fm89NAYv9HhOrwsvX06p+OmO/7GR8NRkLZk/hc++/wyjer2RvxrVr6+C/zwq2pxEq5FtcCI1TbaZvDQB/3szEW/0eh1LNy3HroP7/PYtzoLU86mYvHR6oS4wfs6KXyDn3mtzx8m4qja2BDp2ejutin3Tymefivq8seHaXgK8RtdenkVibcvPe2SSG8jBIitWw42Vb8TMtbP1JFfsJxKt1xaMkibiYp8JxFSRtNny024k79yUJ8kVB07NyMTkle9LH9o1bKv7opo+4bhRkivKv9i4TKxQ/8Z6ci1eYmPaKxU/3XFtY2BsX3Rt+gAe+2Awzudk+Vbp2/3a/QWhZUMx8atJepIrKs9l5WD04jGy3eCOg/T2qm0wfoCT4mfl3FNtbLE6dqrYN6189qmoT7XxTRV/meiqEqk/6WfVilXlnit2fuNnYccve5GRk4n7GrRHuZDSfvVOK7iUe0m6dOmyZy3euElf5ztjpb5th7fLtXjpcLvnMgbV4lc7sjreGzAJ476cgO37ftT15N/o1NijOWnn6vxVSP7B86v9/U06+9UVd0G5kPIQ1x4/0+1RmdDH1GuE60qV8nOL8QOcGL/8gTI699w0thiNnar2zfyxM3vvdn1mulnuT4CXLvgzcVVJmHbjmVgOHj8kVnmW3N9/xy8pvyC69p2oXvUGHE45kafeSW9CrrsOj9/r+WUvcWeS7prK+h7v0g/h5cIRERaBu25rhdhGHbHp4GYkLJ+KlkNaSI2Nbmoo1yrFT8RqRtxUHDh1ABMXTtZjZbRx+02NZPHRlGN+1WfOZeBc9jlE3RCl/epbBtkXr37B8WtcxAU1q96s32DnPfRPJ37GY1MGY5v2BdK7MH7OjF9B5543diqPLV4NYp1/7GweFSOrVeybvroK23a7vsL0s/4qASa6V1m4cqtM6TJSV2b2eUN9Z7POyvKKYeGG9U4pHP7QEMTUiZYzE2zYs0N3S2V9I3vG46YqN+laFm9ZgrgPX8LZzKv/5q8SVkXWqxS/53s+gbtubYVWr7fWboD0vxZZF6xtePWdz7ngW6xvp50/i4jQCISVL++YRPfD1dOw/qcNOHDsMHIuXpBfEp/s/Dhe6vQCEuO/lrq9Arz6GD/nxE/EJpBzT+Wxxdv/xNpv7HzQU6ti3/TVVdi22/UVpp/1Vwkw0b3KglsOJfBIxz7ypqSdR3dqieCLDvXSulveaaiqhIfjjrqN8c7DE7BxfDK6v/3HJ5F1k8W+R6M6t2BMn9EY88VYx91AZhecfy/9KI+pg8d/w4jZY5GZnSH76Yi+r+SpV+lNSYifiEdB597PR4+oFLICfXXr2FmgaFaSQD4CvEY3HxC3vfVezxoeWsFQmpiDVywZWf7TIhnuUMSFYuqp6YOnYtuR7bh/bE/tJqW8c8yqrk/gTMvMxOptG9BtfG9Uq3gDZsVdTaTSsjyzEKgQP/Ev0jlxM7D7tz2YtDghoJ7i1VdBm13CaKlSwdM/s3JyjKodVTZ71Xzpj7gExbt49TF+zoxfQeee6mNLYWOnSn3Tez5ZWbtdnxUWJb0tE12X94As7WEEYom6sY5c+76IxKRuZF1cvHQRJ86c8q1yxPajsQ/J+VW3HNqKrmMflDMv5HdMZX35taSkpWHH0R3ymumyIWVl9Z5jnus9VYhfaLmyaHxzY9xRqxnS56Qg5+PT+t/b/SZIPR/HzZVlDarXl+93H9sj1zUjr17CIQu0l6oRFeVlCwdPHXTMZQte34zW6eczZHHF8hX1asYvAirEz/fcqxTuua9B5bElkLFTpb6pn1AWNtyuzwKKEt+Uia7Lu8CZjDNSYZem/neuN6vbEBXLh2P1j2twIfeyo0g8+cAA+UCLjfs3ouu4XtqvnsbXGKuqzwx2zao1ZZX36W+rdntmI1AhfrnalHViCjijvw37NkhdiXuSZH1atufa8JW7EmV5x6ae2SV8ubRtco98+/UP/jOG+LZzynbjqAbSFXFTmndh/ABV4qefe9pNumJRdWwJdOxUqW96zycra7frs8KipLdlouvyHpCScRIn0k9gUJu/oUGtOrra8iEhGPvX0fJ9QuIHerkTNp7rPgj/Hvge1v2yHj3GP4R0n5uz8vunmr6bq1VDeKj/v+lLaVNTiQdG1KhcA6v2rob336aJW9YoEz9x49nwmf8w/Fu0eYkM3Yw1s2S9eAqaWD5L/lz7tTYbwx4YKh8eIQu1l4iw8hjV+3X59qOkmd7iYl+LadPCtBkg8i/iwRcJgzzzPM9Knq1XM36AU+IX6Lkn5nAWi2pji/DZytipUt8U2qwubtdnlUdJbs+b0RSMfvs7WqFn8x7S8xrawyDE0q5eW7z7xFi5fVp7EpX3sam5l3Px2IeDsezvS/DtqFWYtXaOfARw3+Z90KRmE8zRHgnslKeiCed73t0JE/u/AzHv4+q9a/BY7ACpyfdFPPb4i/UrZZFq+jo0bYd/DXgXSXtXYf/JAzit/eIuHnEsrutsUKM+jp75FXHThuBfgyZKfZnabAQqxc83ToFsHz+TiufnvoiPtOuwN761FnPWz9MfASymFXtzyRhH3dT2YKvuGPlgPFbuSsKh04e0eagzcFvkregb0wdh5cLkrCAzvp6P+5t2YfwcFr9Azz1vv1VtbAl07PTqU3FsCeSzT2V9Xt+5tpcAE117eRaJtaa1miCuwzN5jiWSJPEnln0p+/REV7xfs30j7vlHO8T3Ho7+dz2s/SIVir3Hf8TTM5/F3MTPRRPHLHVuqC19KRNSBq/1HGHo19c/rNATXdFAJX3Ju9fj/cQEtG90L1pGtcD1Fa5HpvbQjt3H92D4pzMxK3G+3w13KukzDFghhfOTFuHIqaN4udtQPNX+Ce3BC6XltcqvfDoCS7/zfKEpxESRVSfvXYeFNRahRVRzdGjYXs6DnJqVKr+4zEmeh2XfeS7F8HWI8fOlUXzbbj/3Ah07fSOgWt8M5LNv38n9ukTV9OmOc8NWAqW0awGvFGRx5eZ16Dry2YKaKFu3bPwUbTbtTPSa4P+robKifBxfEu+5C7zXeOrzwaLEJmOnRJhMnWT8TNEoUeHm+LlZm+hcrtf3qva5nhuOHvHuzMuWj5uCzjGtbR0neI2urThpjARIgARIgARIgARIwCkEmOg6JRL0gwRIgARIgARIgARIwFYCTHRtxUljJEACJEACJEACJEACTiHARNcpkaAfJEACJEACJEACJEACthJgomsrThojARIgARIgARIgARJwCgEmuk6JBP0gARIgARIgARIgARKwlQATXVtx0hgJkAAJkAAJkAAJkIBTCDDRdUok6AcJkAAJkAAJkAAJkICtBJjo2oqTxkiABEiABEiABEiABJxCgImuUyJBP0iABEiABEiABEiABGwlwETXVpw0RgIkQAIkQAIkQAIk4BQCTHSdEgn6QQIkQAIkQAIkQAIkYCsBJrq24qQxEiABEiABEiABEiABpxBgouuUSNAPEiABEiABEiABEiABWwkw0bUVJ42RAAmQAAmQAAmQAAk4hQATXadEgn6QAAmQAAmQAAmQAAnYSoCJrq04aYwESIAESIAESIAESMApBJjoOiUS9IMESIAESIAESIAESMBWAkx0bcVJYyRAAiRAAiRAAiRAAk4hwETXKZGgHyRAAiRAAiRAAiRAArYSYKJrK04aIwESIAESIAESIAEScAqBEKc44iQ/3nh4mHTnzU8m6m4ZlYlKo3KjMjvaWrXRoHp9sUuexYpvYkej9kZlRd1WHO9a9VnRUdT6jLSZ+WBWbkVfsNqa+WZFnxXfzI5nxYYdbYOlzw7f7LBhpM+KXafEyczna9VnZtdKebDaGmkzi4dZebB8s2LXzDcr+uw4nhUbdrQVurlYI8BE14BXdJ1ov1KjMtHIqNyozI62Vm1EhEaIXfIsVnwTOxq1Nyor6rbieNeqz4qOotZnpM3MB7NyK/qC1dbMNyv6rPhmdjwrNuxoGyx9dvhmhw0jfVbsOiVOZj5fqz4zu1bKg9XWSJtZPMzKg+WbFbtmvlnRZ8fxrNiwo63QzcUaASa6Bry2HtrqV2pUJhoZlRuV2dHWqo1z2efELnkWK76JHY3aG5UVdVtxvGvVZ0VHUesz0mbmg1m5FX3BamvmmxV9VnwzO54VG3a0DZY+O3yzw4aRPit2nRInM5+vVZ+ZXSvlwWprpM0sHmblwfLNil0z36zos+N4VmzY0Vbo5mKNQKkr2lLQLis3r0PXkc8W1ETZumXjpwAhmeg1YYCyGgpyfEn8fFndazz1FcTJiXWMnROjErhPjF/grJzY0s3xc7M20Zdcr+9V7XM9Nxw94t2Zly0fNwWdY1rbOiwUmuimnUvH5p932XpQpxjr1NwDc+WOFU5xyVY/OjXrYqs9pxpzY/wYO6f2tsD8YvwC4+TUViUhfm4cN0V/KgmxEzrFj5BuXJrXa4wqEZVslVZoootLl2w9oKOMlSnjccetGr36HAU9CM64MX6MXRA6ShGaZPyKEHYQDlUS4ufGcVN0hZIQO6HTrfELQgwLT3TFQbmQAAmQAAmQAAmQAAmQgGIEOI+uYgGjuyRAAiRAAiRAAiRAAoERYKIbGCe2IgESIAESIAESIAESUIwAE13FAkZ3SYAESIAESIAESIAEAiPARDcwTmxFAiRAAiRAAiRAAiSgGAEmuooFjO6SAAmQAAmQAAmQAAkERoCJbmCc2IoESIAESIAESIAESEAxAkx0FQsY3SUBEiABEiABEiABEgiMABPdwDixFQmQAAmQAAmQAAmQgGIEmOgqFjC6SwIkQAIkQAIkQAIkEBgBJrqBcWIrEiABEiABEiABEiABxQj8H2gBlnlXjREzAAAAAElFTkSuQmCC"}}},{"cell_type":"markdown","source":"A large displacement would also be the result of what Usama mentioned being important: a sidestep rather than a forward step at snap.\n\nWhile displacement had a slight correlation with kick returns (`0.11 Pearson`) and separation (`0.20 Pearson`), the most telling data-driven evidence of its value is slightly qualitative:\n\n![Screen Shot 2022-01-06 at 12.42.34 PM.png](attachment:e470d355-97c0-4675-9d38-f561dc01cefe.png)\n\n*Note: blank squares indicate < 5 punts had this combination*\n\nWe can see from this heatmap that lighter colors (meaning shorter kick returns) congregate in the top left corner, where both separation AND displacement are minimized. There are darker pockets of longer returns even as distance stays relatively low, but displacement increases. The effect is subtle, but exists.\n\nThe above evidence would suggest that both distance and displacement play a role in minimizing punt returns, just as Usama mentioned.\n","metadata":{},"attachments":{"e470d355-97c0-4675-9d38-f561dc01cefe.png":{"image/png":"iVBORw0KGgoAAAANSUhEUgAAAkMAAAICCAYAAADMPclSAAABRWlDQ1BJQ0MgUHJvZmlsZQAAKJFjYGASSSwoyGFhYGDIzSspCnJ3UoiIjFJgf8bAyMDGwA0k+ROTiwscAwJ8gEoYYDQq+HYNqA4ILuuCzPqys41rz28pyf+vN1nVfQxMxVSPArhSUouTgfQfIE5PLigqYWBgTAGylctLCkDsDiBbpAjoKCB7DoidDmFvALGTIOwjYDUhQc5A9g0gWyA5IxFoBuMLIFsnCUk8HYkNtRcEeH3cFUJ9QoIcwz1dXAm4l2RQklpRAqKd8wsqizLTM0oUHIGhlKrgmZesp6NgZGBkxMAACnOI6s83wGHJKMaBECsQY2CwmAEUfIgQiwf6YbscAwN/H0JMDehfAS8GhoP7ChKLEuEOYPzGUpxmbARhc29nYGCd9v//53AGBnZNBoa/1////739//+/yxgYmG8xMBz4BgC7lmH5SUc9xAAAAFZlWElmTU0AKgAAAAgAAYdpAAQAAAABAAAAGgAAAAAAA5KGAAcAAAASAAAARKACAAQAAAABAAACQ6ADAAQAAAABAAACAgAAAABBU0NJSQAAAFNjcmVlbnNob3TT9wsfAAAB1mlUWHRYTUw6Y29tLmFkb2JlLnhtcAAAAAAAPHg6eG1wbWV0YSB4bWxuczp4PSJhZG9iZTpuczptZXRhLyIgeDp4bXB0az0iWE1QIENvcmUgNi4wLjAiPgogICA8cmRmOlJERiB4bWxuczpyZGY9Imh0dHA6Ly93d3cudzMub3JnLzE5OTkvMDIvMjItcmRmLXN5bnRheC1ucyMiPgogICAgICA8cmRmOkRlc2NyaXB0aW9uIHJkZjphYm91dD0iIgogICAgICAgICAgICB4bWxuczpleGlmPSJodHRwOi8vbnMuYWRvYmUuY29tL2V4aWYvMS4wLyI+CiAgICAgICAgIDxleGlmOlBpeGVsWURpbWVuc2lvbj41MTQ8L2V4aWY6UGl4ZWxZRGltZW5zaW9uPgogICAgICAgICA8ZXhpZjpQaXhlbFhEaW1lbnNpb24+NTc5PC9leGlmOlBpeGVsWERpbWVuc2lvbj4KICAgICAgICAgPGV4aWY6VXNlckNvbW1lbnQ+U2NyZWVuc2hvdDwvZXhpZjpVc2VyQ29tbWVudD4KICAgICAgPC9yZGY6RGVzY3JpcHRpb24+CiAgIDwvcmRmOlJERj4KPC94OnhtcG1ldGE+CqSK5Z8AAEAASURBVHgB7N0LfBTV+fj/JxAQQUGihksSRQoCEhAhCLYWbwUsaqyoCFIBAVMoVuul1f+vFcW2Su3XghYqRlFBW2ix1bQakItSrRUiIlalYkDQJCCKXEQQgbD/eY7d7W52k2x257KZ/Rxf486cmTmX9yzs4cw5MxkBKwgBAQQQQAABBBBIU4EmaVpvqo0AAggggAACCBgBGkN8ERBAAAEEEEAgrQVoDKX15afyCCCAAAIIIEBjiO8AAggggAACCKS1AI2htL78VB4BBBBAAAEEaAzxHUAAAQQQQACBtBagMZTWl5/KI4AAAggggACNIb4DCHgs8NBDD0m7du3kmGOOkc8++yyh0vTs2VNWrlyZ0LnpetJHH31kzKurq5MiOPfcc+XRRx9NKg1ORgABbwVoDHnrn7a5d+rUSZYvXx5R/yeeeELOPvvsiLhENzIyMmTjxo2Jnu7aeYcOHZKbb75Zli5dKl988YUcf/zxEXlv2bJFtC7aUNJFG00XX3yxLFu2LOK4d999V/RHua4QTOvw4cN1HeaLffpdatq0acjtlFNOkWuvvVbef//9UP1OOukkY67HEb4W0AZ1bm4uHAiknQCNobS75FQ4lQS2b98uBw4cEO3ZqSvs3r3b/HC/9dZbMnjwYLnssstEf/AJtQucddZZxmzPnj2m4X300UdLv3795J133qn9JPYggEBaCtAYSsvL3jgqvXXrVrn88svlxBNPFP2X/YMPPhgqeFlZmeiP3XHHHScdOnSQ66+/Xg4ePGj2Dxo0yHyefvrppmfgT3/6k7mFpP/ive+++yQ7O9uc8+yzz0ppaamceuqpkpWVJffcc09c6etB2luj5encubOccMIJ8pOf/ESOHDkSOj985auvvpIf//jH0rFjR7PousZpL0W3bt3MoVqP888/P/y0mOvt27eXG2+8Ue666y657bbbQnmG97SpTUFBgbRu3dr0JGnPk4agi+alvUyvvfaabNq0yeSrPVJaj9GjR4s2vIJB0/2///s/6d27t7Rp00auuuoq03gL7i8pKZE+ffqYvL7xjW/IkiVLzC5tgEyYMME45+TkyM9//nOJdTtKr7E2Unbu3BlMUt58801TFu010969c845x+St5dP8Gxq050fL9vvf/96kpXYaavaUaeNSr+exxx5rvm9/+MMfzHEa/61vfct8x9Sge/fusmLFCrOv5v/q86yoqJDhw4eb77Sa6/c2GB577DHp0aOHtG3bVoYOHSoffvhhcJf5vmn5u3btasp3xx13mGv3zW9+09iPGDEi9P3Xk5577jlzXfRa6zH//ve/Q2nVdk337dsn3/3ud0WvSbAnUtcJCKSFgL6bjICA2wInn3xywLrVE5Ht448/HrB+dEyc9cMZ6Nu3b2DatGkBq+EQsH5kAlaDKGD92Jr9a9asCVg/5gHrBzOwefPmgPUDFZgxY0YoPesPb6C8vDy0/dJLLwWsH0WTntVoChQXFwesH9fAqFGjAp9//nnA6i0ItGjRIvDBBx/Enb51WypgjfEJWD9aAetHKvDII4+E8gtfsX64AgMGDAhYvUCBTz75JGA14gJW48AcomXXsmo9YoXa9quHnrd+/XpzWrjnwIEDA/Pnzzfxe/fuNU66ESstNbJu0QWs3ilTtm9/+9sBq7FlztX/abr9+/cPVFVVmbqqszXGyexfvXp1wGpwmfP1elVWVgb+85//mH3f+973AkVFRQHr1p+pt6YxZ84cs6/m/8477zxzPYLxt956a+AHP/iB2Rw5cmTgl7/8ZUDT//LLLwOvvPJK8LA6P8O/S+EHzp07N2A1hk1UuIeW02oEBd577z2zz2oEmO+Ebmha+t357W9/G9DvzsKFC0299dprsBproWtfl6d1ezJgNSoDVmPYuITXx2qYB6wGm7me+l34xS9+Yb4nJgPrf3qtCwsLA1Yj05SrefPmAavxbP5cWI3XgNWICliNNnP42rVrA9Y/IAKrVq0KaJ4ar9dRr7EGXa/tmuqfE6vxao7jfwikk4CkU2Wpa+oI6F/IrVq1Clj/0g4tVg9BqDGkf5Hn5eVFFNjquQmMGzcuIi64oQ0h/QEOhliNIW3s6I+DBm0A6TGaTzBo4+uZZ54JbkZ8xkp/8eLFoWNmz55tfpxCEWErVm9D4Pnnnw/FaINO668h/AfZRNT4X2379YdUy//Pf/7TnKHpBRuX2qCZOnVq4NNPP41Irba0wg/S+ls9PaEoTffJJ58MbVs9YKGGijZ29Ie9Zvj4448D+mO9f//+0K4//vGPAW08xgraiNQGkQardy1g9eAF/vGPf5jta665JnDdddcFrB4Vsx3v/7QBE2xYh5+j1ywzM9NEhXtoY0i/i08//XREufVATcvqfTRlC6aljYlggzO8MRTcH/wM9/zXv/5lGuCxGr4XXnhhwBqEHTzNNP70z4PVe2Xiwq+1Ruh3dfr06aHjrd6/UCN20qRJocZ28ACr9zNgjQcym3VdUxpDQTE+002A22TW3zIEbwT0NpXekgkuehsgGPQWgXbRazd/cNHbWDrGRoPeYtKBxHrbSG8H/b//9/9kx44dwdNjfuptieBgWb01o0EHJAeDxukgZg3xpG811oKnivUDY8obighb0Xro/mCo69jgMfV9Wj015hC9vVczWL0fpvx6O8f60Ta3TGoeE9xWT6v3RfRWljp+//vfj3JU42Bo2bJlyEhv+ejtp5pBr531g29ukQWvndXTI1avWM1DzbbeCtVbdtu2bZOXX35ZmjRpIlaDzuzT25rWX8py5plnmnFVeispmaBuscyshrno7VSr98qU+6KLLhKrlyiUlfrordFgqO0a1uWpXnqe1RgLJhP6VDO9/Rn00jJqvYPXWQ+s+V2tuR387mpa999/fygtTVPzDr/lVds1DRWIFQTSTIDGUJpd8MZSXW1o6DihYENJP61bPmaMj9Zh8uTJZuyGdVtCrF4eM95HfzzsCvGkrz8wwaDTtHVMUKyg8foDFQx1HRs8pr5Pq8fBjH0KjjkKP17HlSxYsMA0PnRc0RVXXCE6HiT8xzx4vDYiNf7tt982jk899ZT5EQ7ur+tTr5GOkakZNP6oo44yjarg9dNrpDPeYgUdIzNkyBDTGLF6kEzjLFhW/dG2eo7MD/nDDz8sP/zhD5OaJahuwYZWzbLoOB2dpaeNMm1IWj1SoUO0URL+/artGtblqS56XqzZfLpP6xf00k+r98+M9wkVIs4VTetnP/tZRFpWL51Yt4TrTSHoXu+BHICAzwRoDPnsgvqlOtoToANZf/3rX5sfBR18q7OAXn/9dVNFbRhpT4YO9NR/weuzesKD/qvZGv8THtWg9frS18R+85vfyK5du8y/uh944IFaB/fqj5A17kWs21amgXD33XebHpgGFei/B2vPw6xZs8QaSyX33nuv6UWpmY42aDQv7WHRXgENuq4D0fUz3EXrqYY6MFh/8LVO8QYdIG3dQjKDiXXwuJ6v10IHtGvj5pZbbjENLN2njSbr1letSV999dVi3XYS6zaV6HowLFq0SKyxSGZTG036Y611aEjQ7451S0x+9KMfmYH0d955Z9Tp6qqDwbXRqA05NQnPR3u1dMC89nhpmayxUTJs2LCodOry1O+02tx+++0mH51F+Oqrr5o0rFtb5noGG4w6AF3zSSRoI057uKwxXaYBp3WybtOaf0zUl57+udFnXWn+BATSSaBhf6ukkwx19VRAb2fpjJh169aZHiKdSTRx4sTQX9I6w0l7EbTBpH/515xlpDOGxo4daxoDf/7znxtcl/rS1wQvvfRSM1VbZ1PpbRVtHMQKOpNKZ3fpjKxevXqJNd7DzK6KdWxtcdqo0Vs5er7OgNMfyvHjx8c8XGd06VR9/UHXWy/WgF8zY0tvcWmPgc6M0vSs8VKiDQNrwK1pDGkddKZTvEF/3LUxdNNNN5nzrbEzoR4wbdjo7L7TTjvNzI7S3intcaktWIODRXv5tCdIZwEGgzZ+rcHnpi56jDY6dcaXBq1jcMZX8PjwT731pgbaaD733HNNw0zTU8OaQRts1gBp07unt6i04RbewNYyaPn0e6iG2mir+UwoTbMuT/1O//3vfzc9W/qMI53dqLfmNOijErQXT29Zannz8/PFGt9k9jX0f/pd0940nammDcguXbqIzoiLJ2iPmDbe1Vi/I+G31uI5n2MQaKwCGVbXr333FhqrAuVGoIEC2kOhP476Q0Pwt4A2JPQJ09ZgdX9XlNohkMYC9Ayl8cWn6ggggAACCCBgDSUAAQEEEEAAAQQQSGUBnbBiPYLD3HrXW+R6y1yDDonQ2Z46XEEXHUaQSOA2WSJqnIMAAggggAACrgnomENddMylTlTQV+vo41l0TKiODbQe1ppUWTKTOpuTEUAAAQQQQAABhwV0JqYuGnTijL66Jvw5XMlmT89QgoIHDv8rwTMbdlqLzG827IQEj96895kEz2zYaacce1nDTuBoBBDwWOA/LuXfw6V8yCZZgVa5lySbRNT5M6ZeItZrkkLx1hPuRZdYQd8rqO9a1Met6CxQneSgszB1JqU+cFRnUTY00BhqqNh/j6cxlBgcjaHE3DgLAe8EaAx5Z5+aOTvRGNpX+fe4KqtPWtfHeOgjLvRRIPqMMH3khc7w1RcY6620RJ5Uz22yuPg5CAEEEEAAAQRUICPDm7lX+tBTfX3P6NGjQ89EC38tjT5zTl/TlEjwpkaJlJRzEEAAAQQQQCAtBfSRiPpgWx0rZL2YOGQQ/jBXfd2OPrA0kUDPUCJqnIMAAggggECaClgvxXG95vrqmieffNI8QV6n0GvQl3frexj1TQV6m6xTp07mHX+JFI7GUCJqnIMAAggggECaCmjDw+1w9tlnR7wsOZh/rHcEBvc15NP95l1DSsexCCCAAAIIIICAwwKeNYb0ZZLdunUz73aaPn16VDW/+uor8/JNffeTviRRp9IREEAAAQQQQMBbAb1NZvfibY08eh1HdXW1TJkyxbyVef369eaen36Gh7lz55pnBWzcuNG8FVvf6ExAAAEEEEAAAQTsFvCkZ6isrMz0CHXu3FmaN28uI0eOlJKSkoi66fbYsWNN3BVXXCErVqyIeb8w4iQ2EEAAAQQQQMBRAR0zZPfiaIHjSNyTxpA+QjsvLy9UvNzc3KjHaocfk5mZKW3atJHPPvssdA4rCCCAAAIIIOCFgDYd7F68qMf/8vSkMfS/7JNf08d36yO4dZkxY0byCZICAggggAACCKSVgCdT63NycqSioiIEXVlZKRoXHoLHaK/R4cOHZc+ePXL88ceHH2LW63p/SdTBRCCAAAIIIIBAUgJePYE6qULXc7InPUP9+/eX8vJy2bx5sxw8eFAWLlwohYWFEUXV7Xnz5pm4p59+Ws4//3xzjzLiIDYQQAABBBBAAIEkBTzpGdIxQLNmzZKhQ4eKziwbP3689OzZU6ZOnWpud2lDSB+7fc0115iB1llZWabBlGRdOR0BBBBAAAEEkhTwY88Qb61P8EvBW+sTg+Ot9Ym5cRYC3gnw1nrv7FMz56xTRttesJ2b/2B7mg1J0JOeoYYUkGMRQAABBBBAIJUEPBlh4ygAjSFHeUkcAQQQQAABfwl48W4ypwX917xzWoz0EUAAAQQQQMBXAvQM+epyUhkEEEAAAQScFdD3kvkt+K9GfrtC1AcBBBBAAAEEHBXwVc/Q7oNLHMUKT/yoJseEbzq2vnbHM46lHZ7w4SPhW86tn3TMW84lXiNl6+05NWKc2dx98ENnEq6RautmkQ8mrbHb1s1/fuxOnfqecKyt5a4tseZNWtW2y9b4zV9sszW9uhLr0PLounbbtu+YzHa2pVVXQplN3Jm1tu/QJ3UVw9Z9zZq6871r3qTA1nLXm1iG//pRfNUYqvcCcgACCCCAAAIIJCXg1j80kypkA0/2X/OugQAcjgACCCCAAALpLUDPUHpff2qPAAIIIIBAgwT8+ARqeoYa9BXgYAQQQAABBBDwmwA9Q367otQHAQQQQAABBwXoGbIRV1/Omp2dLfn5+TFTDQQCcsMNN5gXtfbu3VvWrl0b8zgiEUAAAQQQQMBFAZ1NZvfiYvFjZeXZbbJx48bJkiW1T4VfvHixlJeXm6W4uFgmT54cq/zEIYAAAggggAACSQl41hgaNGiQZGVl1Vr4kpISGTNmjOg7UAYOHCi7d++Wbdvce4ZHrQVjBwIIIIAAAmktoE0HuxdvQT1rDNVX7aqqKsnLywsdlpubKxpHQAABBBBAAAEE7BRI2cZQvJXUW2gFBQVm+f2Dz8Z7GschgAACCCCAQAICOoDa7iWBYth6SsrOJsvJyZGKiopQZSsrK0XjaoaioiLRRYObr+OoWQ62EUAAAQQQQKBxCqRsz1BhYaHMnz9fdFbZqlWrpE2bNtKhQ4fGqUypEUAAAQQQ8ImAvrXe7sVrGs96hkaNGiUrV66UHTt2iI4HmjZtmhw6dMh4TJo0SYYNGyalpaVman3Lli3l8ccf99qK/BFAAAEEEEh7AW0I+S141hhasGBBnZY6i2z27Nl1HsNOBBBAAAEEEEAgWQHPGkPJFpzzEUAAAQQQQMADAX3gos+C/2rkswtEdRBAAAEEEEDAWQF6hpz1JXUEEEAAAQR8JaDDWPwWaAz57YpSHwQQQAABBBwU4EWtDuKSNAIIIIAAAggg4IUAPUNeqJMnAggggAACjVSAqfUpfuFaN4t+QrVTRT4S+PqZSE6lH0w3P+t/72cLxjnxGZAjTiQblaYf/xAd06xjVD2diKiWw04kGzPNM088Pma83ZFujT1o3rSV3UWPmV7347rHjHcm0p0/s3sOVjpT/BqpNss4ukaMM5un/WS7MwnHSPWDGV1jxBKVigL0DKXiVaFMCCCAAAIIpKqAD6fW0xhK1S8b5UIAAQQQQCAFBTKsl3H4LfCcIb9dUeqDAAIIIIAAAg0SoGeoQVwcjAACCCCAQHoLMLU+va8/tUcAAQQQQAABHwp4cpusoqJCzjvvPDnttNOkZ8+e8sADD0TRBgIBueGGG8xb63v37i1r166NOoYIBBBAAAEEEHBbQJsOdi9u1yEyP09uk2VmZsr9998vffv2lb1790q/fv1k8ODBpnEULN7ixYulvLzcLKtXr5bJkyeLfhIQQAABBBBAAAE7BTzpGerQoYNpCGlFjj32WOnRo4dUVVVF1KukpETGjBkj+hySgQMHyu7du2Xbtm0Rx7CBAAIIIIAAAu4K6Jghuxd3axCdmyeNofBibNmyRd58800ZMGBAeLRpHOXl/e+Bg7m5uVENpogT2EAAAQQQQAAB5wX0Ra12L86Xus4cPG0MffHFF3L55ZfLzJkzpXXr1nUWtLadxcXFUlBQYJYZM56s7TDiEUAAAQQQQACBmAKejBnSkhw6dMg0hEaPHi3Dhw+PKlxOTo7oQOtgqKysFI2rGYqKikQXDUcCb9fczTYCCCCAAAII2Cjgx9cqedIzpDPFJkyYYMYK3XzzzTEvUWFhocyfP1/02FWrVkmbNm1ExxoREEAAAQQQQAABOwU86Rl69dVX5cknn5RevXpJnz59TH3uuece+eijj8z6pEmTZNiwYVJaWmqm1rds2VIef/xxO+tNWggggAACCCCQgEBGRtMEzkrtUzxpDJ199tmmx6cuGp1FNnv27LoOYR8CCCCAAAIIuC2gg6d9Fjy5TeYzQ6qDAAIIIIAAAo1YwJOeoUbsRdERQAABBBBIbwH/dQyZ52mn90Wl9ggggAACCCCQ1gL0DKX15afyCCCAAAIINFDAh2OGaAw18DvA4QgggAACCKS1AI2h1L78OgPNrXC4+oArWWU0cWcKY7OMo12pz1fVe1zJRzNp3rSVK3ntO+TOO/NaND3OlfpoJh9/ucOVvLJauPO9a940sSfcNxTh84MfNvSUhI//xZrqhM9tyIl39z+2IYcnfGyLTHe+3+W/defvha8hmKOU8BfC5RPpGXIZnOwQQAABBBBo1AI+bOP5sEqN+itG4RFAAAEEEEDAZQF6hlwGJzsEEEAAAQQas0DAxSEpbjnRM+SWNPkggAACCCCAQEoK0DOUkpeFQiGAAAIIIJCiAu7NVXINgMaQa9RkhAACCCCAgA8EuE1mz0U8cOCAnHnmmXL66adLz5495c4774xK+KuvvpKrrrrKvLV+wIABsmXLlqhjiEAAAQQQQAABBJIV8GTM0FFHHSUvvviivPXWW7Ju3TpZsmSJrFq1KqIuc+fOlbZt28rGjRvlpptukttuuy1iPxsIIIAAAggg4IGA9gzZvXhQjfAsPWkM6cMRjznmGFOOQ4cOiS41H5hYUlIiY8eONcdcccUVsmLFCgkEAuFlZx0BBBBAAAEEEEhawJPGkJa6urpa+vTpI9nZ2TJ48GDRW2HhoaqqSvLy8kxUZmamtGnTRj777LPwQ1hHAAEEEEAAAbcFdAC13YvbdaiRn2eNoaZNm5pbZJWVlVJWVibvvPNOjaLFt1lcXCwFBQVmmTHjyfhO4igEEEAAAQQQSEygidUSsntJrCS2neX5bLLjjjtOzjvvPDNuKD8/P1SxnJwcqaiokNzcXDl8+LDs2bNHjj/++ND+4EpRUZHooiEgiTWogmnxiQACCCCAAALpJ+BJz9Cnn34qu3fvNtpffvmlLFu2TLp37x6hX1hYKPPmzTNxTz/9tJx//vlR44oiTmADAQQQQAABBJwXsHvwtKbncfCkZ2jbtm1mcLSOGzpy5IiMGDFCLr74Ypk6daq53aUNoQkTJsg111xjptZnZWXJwoULPaYiewQQQAABBBDwo4AnjaHevXvLm2++GeV59913h+JatGghixYtCm2zggACCCCAAALeC6RAR47tCJ40hmyvBQkigAACCCCAgDsCPmwNeTJmyJ2rRS4IIIAAAggggED9AvQM1W/EEQgggAACCCAQFPB+vHOwJLZ90jNkGyUJIYAAAggggEBjFKBnqDFeNcqMAAIIIICARwIBH44Z8lVj6KvDe137ajRrerQreR2qPuBKPl8GdrmST5MM9zojDwcOuVKn/YcPupJP26OiHzrqVMZZLdz5s9S6Wa5TVYhI94hL34Um0iwiXyc3fj2wnZPJh9LObOLO33WhDB1e+ezAJodz+F/yzZu2/N+Gg2vHNT/dwdTTI2n3fpnSw5NaIoAAAggg4G8Bu1/FoenVE/SNFPq2itNOO0169uwpDzzwgDlj586d5v2mXbt2NZ+7diX2D3saQ/VcAHYjgAACCCCAQJiAtl3sXsKSj7WqL2y///77Zf369bJq1SqZPXu2WZ8+fbpccMEFUl5ebj51O5FAYygRNc5BAAEEEEAAAdcEOnToIH379jX5HXvssdKjRw+pqqqSkpIS80YL3TF27Fh59tlnEyoTjaGE2DgJAQQQQACBNBXQAdQ2L8XFxeZ1XAUFBeZTt2sLW7ZsMW+xGDBggGzfvl20oaShffv2Zru28+qK99UA6roqyj4EEEAAAQQQSE2BoqIi0aW+8MUXX8jll18uM2fOlNatW0ccnmE10HRJJHjaM6Qvaj3jjDPMS1prFv6rr76Sq666yryoVVt/2hIkIIAAAggggIDHAh4MoNYaHzp0yDSERo8eLcOHDzcI7dq1E335uwb9zM7ONusN/Z+njSEdDa73/WKFuXPnStu2bWXjxo1y0003yW233RbrMOIQQAABBBBAwOcCgUBAJkyYYNoMN998c6i2hYWFMm/ePLOtn5deemloX0NWPGsMVVZWyvPPPy8TJ06MWd7wQVFXXHGFrFixQhSDgAACCCCAAALpJfDqq6/Kk08+KS+++KL06dPHLKWlpXL77bfLsmXLRKfWL1++3GwnIuPZmKEf//jHct9998nevbEf7qajxPPy8kyddEpdmzZt5LPPPpMTTjghkXpyDgIIIIAAAgjYIZDguJxksj777LNr7RDRzpJkgyc9Q88995y5r9evX79kyy/hI9AffODPSadHAggggAACCCCQXgKe9Axpd9ff/vY30S6uAwcOyOeffy7f//735amnngrp5+TkiD5xMjc3Vw4fPix79uyR44+Pfh1B+Aj0A4dfC53PCgIIIIAAAgg4IOBBz5ADtYhI0pOeoXvvvVd0zJDOEFu4cKGcf/75EQ0hLWH4oKinn37aHJPolLmIGrOBAAIIIIAAAokLaMvB7iXx0thypic9Q7WVfOrUqeZhS9oQ0lHj11xzjZlan5WVZRpNtZ1HPAIIIIAAAgggkKiA542hc889V3TRcPfdd5tP/V+LFi1k0aJFoW1WEEAAAQQQQCAFBLhNlgIXgSIggAACCCCAAAI2CnjeM2RjXUgKAQQQQAABBJwWSOyNF06XKqn0dQgUAQEEEEAAAQQQSFsBeobS9tJTcQQQQAABBBouENB3k/ks0Bjy2QWlOggggAACCDgqwABqR3lJHAEEEEAAAQQQcF3AVz1DRwKHXAPcdyj2O9XsLkBA3Hk5bYY0tbvotaTnVj7W4xmatK2lDPZGt2p2tL0J1pLavkMf17LH/uijM6Of9m5/LiL7D3/iRLJRaX649/OoOCcico5p4USyMdM8UL0rZrzdket3fGh3kjHTO7a5O3/XdW6dGzN/JyI/P1jlRLLep+m/u2TmGZLew1ICBBBAAAEEEEDAIwFf9Qx5ZEi2CCCAAAIIpI9AE/9NRKcxlD5fX2qKAAIIIIBA8gIMoE7ekBQQQAABBBBAAIFUEvBfX1cq6VIWBBBAAAEEEEh5Ac8aQ506dZJevXpJnz59zJvqa0oFAgG54YYbzFvre/fuLWvXrq15CNsIIIAAAggggEDSAp6OGXrppZfkhBNOiFmJxYsXS3l5uVlWr14tkydPFv0kIIAAAggggIB3Ahk+fAK1Zz1D9V3GkpISGTNmjGRYA7UGDhwou3fvlm3bttV3GvsRQAABBBBAwEkBbQzZvThZ3jjS9qwxpI2cIUOGSL9+/aS4uDiqqFVVVZKXlxeKz83NFY0jIIAAAggggAACdgp4dpvsn//8p+Tk5Mgnn3wigwcPlu7du8ugQYMaXDdtSAUbU1eO/Kb86MYrGpwGJyCAAAIIIIBAfAIBHz6B2rPGkDaENGRnZ8tll10mZWVlEY0h3V9RURG6MpWVlabxFIr470pRUZHoomH/oZf/G8sHAggggAACCCAQn4Ant8n27dsne/d+/W4vXV+6dKnk5+dHlLiwsFDmz58vOqts1apV0qZNG+nQoUPEMWwggAACCCCAgMsCdo8XSoEB2Z70DG3fvt30BunlO3z4sFx99dVy4YUXypw5c8wVnTRpkgwbNkxKS0vN1PqWLVvK448/7vLVJjsEEEAAAQQQSAcBTxpDnTt3lrfeeivKVxtBwaADrGfPnh3c5BMBBBBAAAEEUkHA+n32W/CkMeQ3ROqDAAIIIIBA2gikwG0tu609GTNkdyVIDwEEEEAAAQQQSFSAnqFE5TgPAQQQQACBdBTwYTeKD6uUjt9M6owAAggggAACiQrQM5SoHOchgAACCCCQjgIMoE7Hq06dEUAAAQQQQCAk4MMB1L7qGdLp+G6F5hnHuJLVwSNfuJJPsyZHuZLP3kOfupKPZrK/epcreb28takr+QzNa+5KPprJG59udS0vNzLKb9vKjWzk/T37XMlHMznjhI6u5DXiunJX8lk+P9uVfD77stKVfDSTls2Odi0vMkpOwFeNoeQoOBsBBBBAAAEE6hMIuNjxUF9Z7NrPAGq7JEkHAQQQQAABBBqlAD1DjfKyUWgEEEAAAQS8EcjwYTcKjSFvvkvkigACCCCAQOMU8OEAah+27xrnd4tSI4AAAggggIA3Ap41hnbv3i1XXHGFdO/eXXr06CGvvfZahEAgEJAbbrjBvLW+d+/esnbt2oj9bCCAAAIIIICABwJ6n8zuxYNqhGfp2W2yG2+8US688EJ5+umn5eDBg7J///7wcsnixYulvLzcLKtXr5bJkyeLfhIQQAABBBBAAAE7BTxpDO3Zs0defvlleeKJJ0xdmjdvLrqEh5KSEhkzZozos4MGDhwo2pO0bds26dChQ/hhrCOAAAIIIICAmwKMGbJHe/PmzXLiiSfKtddeK2eccYZMnDhR9u2LfFhZVVWV5OXlhTLMzc0VjSMggAACCCCAgIcC+nxjuxcPq6NZezJm6PDhw2YMkN76evPNN6VVq1Yyffr0hCiKi4uloKDALL97YFFCaXASAggggAACCKSvgCe3ybSXR5cBAwYYeR1IXbMxlJOTIxUVFaErU1lZKRpXMxQVFYkuGr48/ErN3WwjgAACCCCAgI0CAW6T2aPZvn17cwtsw4YNJsEVK1bIaaedFpF4YWGhzJ8/X3RW2apVq6RNmzaMF4oQYgMBBBBAAAEE7BDwpGdIC/673/1ORo8ebWaSde7cWR5//HGZM2eOqdOkSZNk2LBhUlpaaqbWt2zZ0uy3o8KkgQACCCCAAAJJCPiwZ8izxlCfPn1kzZo1EVdDG0HBoLPIZs+eHdzkEwEEEEAAAQQQcETAs8aQI7UhUQQQQAABBBBwVsCHb62nMeTsV4bUEUAAAQQQ8JeATqv3WfBkar3PDKkOAggggAACCDRiAXqGGvHFo+gIIIAAAgi4LuDD22T0DLn+LSJDBBBAAAEEEEglAV/1DG3b/6lrtgcOu3PTtH0rdy7RgUNfuGJ3TOYJruSjmfQc/q4rec2e7c778p770J1rpGjZRwdcsTszu7Ur+cx4K/JF0E5levWp7rhp+dfv/MCpakSku/7pyGfARey0cePAkT02plZ7Uuf/IfI9mLUfmfyepy+PfM1U8inGTuE496r0dQGYWh/7QhCLAAIIIIAAAmki0NSdzgA3NblN5qY2eSGAAAIIIIBAygm4cw8m5apNgRBAAAEEEEAgIQEGUCfExkkIIIAAAggggEDKCtAzlLKXhoIhgAACCCCQggI+HGBDYygFv2cUCQEEEEAAgZQV4DaZPZdmw4YNoi9qDS6tW7eWmTNnRiQeCATkhhtuMG+t7927t6xduzZiPxsIIIAAAggggIAdAp70DHXr1k3WrVtnyl9dXS05OTly2WWXRdRn8eLFUl5ebpbVq1fL5MmTRT8JCCCAAAIIIOChQBP/3SfzvEYrVqyQb3zjG3LyySdHXNmSkhIZM2aMZFjdcQMHDpTdu3fLtm3bIo5hAwEEEEAAAQQQSFbA88bQwoULZdSoUVH1qKqqkry8vFB8bm6uaBwBAQQQQAABBDwU0CdQ2714WB3N2tPG0MGDB+Vvf/ubXHnllQkzFBcXS0FBgVken/1cwulwIgIIIIAAAgikp4AnY4aC1DouqG/fvtKuXbtgVOhTxxFVVFSEtisrK83YolDEf1eKiopEFw0ffP7X/8bygQACCCCAAAKOCPjvbRze9gwtWLAg5i0yvXiFhYUyf/580Vllq1atkjZt2kiHDu68ENORLw+JIoAAAggg4AcBu2+RpcCLXz3rGdq3b58sW7ZMHn744dBXY86cOWZ90qRJMmzYMCktLTVT61u2bCmPP/546DhWEEAAAQQQQAABuwQ8awy1atVKPvvss4h6aCMoGHQW2ezZs4ObfCKAAAIIIIBAKgjw0MVUuAqUAQEEEEAAAQQQsE/As54h+6pASggggAACCCDgmkAKjPGxu640huwWJT0EEEAAAQT8LMBsMj9fXeqGAAIIIIAAAukoQM9QOl516owAAggggECCAhmePq45wULXc5qvGkMffeFe313PrEA9tPbsnv22PenUl8qQk9yx63HcwfqKYtv+90r62ZZWXQnt+LKyrt227WuZeZRtaaVKQkcC1a4U5fpe7vztHRD3/krdf8gdu33VkbN+nbpgH3zuVMqR6d51/pHICAe3Pt7vzveuSxsHK5EmSbv3JzdNQKkmAggggAACfhbw4cx6F/8Z4+dvBnVDAAEEEEAgTQT82Bhypw8vTb4gVBMBBBBAAAEEGp8At8ka3zWjxAgggAACCHgmoG+I8FugZ8hvV5T6IIAAAggg4EOB8ePHS3Z2tuTn54dqd9ddd0lOTo706dPHLPpO00SCZ42hGTNmSM+ePU2lRo0aJQcOHIgo/1dffSVXXXWVeVHrgAEDZMuWLRH72UAAAQQQQAABDwS0Y8juJY5qjBs3TpYsWRJ15E033STr1q0zi77kPZHgSWOoqqpKHnzwQVmzZo288847Ul1dLQsXLowo/9y5c6Vt27ayceNG0YredtttEfvZQAABBBBAAIH0ERg0aJBkZWU5UmFPGkNak8OHD8uXX35pPvfv3y8dO3aMqGBJSYmMHTvWxF1xxRWyYsUKCQTcebZPREHYQAABBBBAAIGQgA4ZsnspLi6WgoKC0KLb8YZZs2ZJ7969RW+j7dq1K97TIo7zpDGk9/duvfVWOemkk6RDhw7Spk0bGTJkSETBtPcoLy/PxGVmZppjPvvMnYd/RRSEDQQQQAABBBAICegTqO1eioqKzN0ivWOki27HEyZPniybNm0yt8i0PXHLLbfEc1rUMZ40hrTlpj0/mzdvlq1bt8q+ffvkqaeeiipcPBHhrcmnH3k+nlM4BgEEEEAAAQR8INCuXTtp2rSpNGnSRK677jopKytLqFaeNIaWL18up5xyipx44onSrFkzGT58uPzrX/+KqID2HlVUVJg4vaW2Z88eOf744yOO0Y3w1uQV110UtZ8IBBBAAAEEELBPQKfW270kWrpt27aFTn3mmWciZpqFdsSx4slzhvT22KpVq0THCh199NFmPJDeKwwPhYWFMm/ePDnrrLPk6aeflvPPP9/ghx/DOgIIIIAAAgikh4DOPF+5cqXs2LFDcnNzZdq0aWZbZ5Jp46xTp07y8MMPJ4ThSWNIp8rroOi+ffuKjgc644wzTA/P1KlTzeApbQhNmDBBrrnmGjO1XkeP15xtllBtOQkBBBBAAAEEkhKw2h2ehAULFkTlq20FO4InjSEtuLbodAkPd999d2izRYsWsmjRotA2KwgggAACCCDgvYBXjSEna+7JmCEnK0TaCCCAAAIIIIBAQwQ86xlqSCE5FgEEEEAAAQRSQ4CeodS4DpQCAQQQQAABBBCwTYCeIdsoSQgBBBBAAAH/C/jxrfU0hvz/vaWGCCCAAAII2CagT5/2W/Bhlfx2iagPAggggAACCDgp4Kueoa373Hv4gVt5je9xyMnrH0r7hKNzQutOrrz28VYnk49Iu0XTLyK2ndqY/XZLp5KOSLeo54GIbSc3rnu6hZPJh9K+r3B/aN3JlZOPceclz38qb+ZkNSLS/nm/4yK2ndr4+MsdTiUdke6Xh935+/t7nS6NyNfJjYUbS5xM3ru03blUrtaPniFXuckMAQQQQAABBFJNwFc9Q6mGS3kQQAABBBDwmwBT6/12RakPAggggAACCKS9AD1Daf8VAAABBBBAAIH4Bfw4m4zGUPzXnyMRQAABBBBIe4EmDKC27zvwwAMPSH5+vvTs2VNmzpwZlXAgEJAbbrjBvLW+d+/esnbt2qhjiEAAAQQQQAABBJIV8GQ22TvvvCOPPPKIlJWVyVtvvSXPPfecbNy4MaIuixcvlvLycrMUFxfL5MmTI/azgQACCCCAAAIeCGjPkN2LB9UIz9KTxtB//vMfGTBggLRs2VIyMzPlnHPOkb/+9a/h5ZKSkhIZM2aM6GO/Bw4cKLt375Zt27ZFHMMGAggggAACCCCQrIAnjSG9PfbKK6/IZ599Jvv375fS0lKpqKiIqEtVVZXk5eWF4nJzc0XjCAgggAACCCDgnYBOrbd78a42X+fsyQDqHj16yG233SZDhgyRVq1aSZ8+faRp06YJWegtNF009BzaR4aOuzihdDgJAQQQQAABBOoXyPDhCGpPeoaUesKECfLGG2/Iyy+/LG3btpVTTz014grk5ORE9BZVVlaKxtUMRUVFsmbNGrPQEKqpwzYCCCCAAAII1CfQoMbQhx9+KMuXLzdpfvnll7J379760q91/yeffGL2ffTRR2a80NVXXx1xbGFhocyfP190VtmqVaukTZs20qFDh4hj2EAAAQQQQAABdwXsvkWm6Xkd4r5NprO/9HbUzp07ZdOmTaI9NZMmTZIVK1YkVIfLL7/cjBlq1qyZzJ49W4477jiZM2eOSUvTHTZsmBlL1KVLFzPQ+vHHH08oH05CAAEEEEAAAQTqEoi7MaQNFp0Kr7PANHTt2lWCvTt1ZVDbPh1AXTNoIygYdBaZ5klAAAEEEEAAgdQRSIWeHLs14m4MHXXUUdK8efNQ/ocPHzbT3kMRrCCAAAIIIICA7wX82BiKe8yQPgvonnvuER0rtGzZMrnyyivlkksu8f1Fp4IIIIAAAggg4G+BuBtD06dPlxNPPFF69eolDz/8sBnT88tf/tLfOtQOAQQQQAABBCIEtGfI7iUiAw824r5Npj1C48ePl+uuu84Us7q62vQS6VOkCQgggAACCCCAQGMViLtn6IILLjCNn2BFtXH0ne98J7jJJwIIIIAAAgikgYDdvUKpMAYp7p6hAwcOyDHHHBO6zLqur9JIpXBUU/ceVrD/sDs1P3TEnTpt27fVlQoNyD7RlXw0kzc+3eFKXt/ueNCVfDq2OuJKPppJ02bufO9yWwVcqdMJLdzJZ/3OZq7URzOp3O/O93vjnrj/zZxU3Yed9L2kzo/35EWbSuI9NOnjjmnmzvcu6YKSgMT9LdfXZqxduzZEpk+PPvroo0PbrCCAAAIIIICA/wX0dRx2L16rxd0zNHPmTDODrGPHjuap0B9//LH86U9/8rr85I8AAggggAACLgqkwm0tu6sbd2Oof//+8t5778mGDRtMGbp16yb69GgCAggggAACCCDQmAXibgxpJV9//XXZsmWL6AMXg7fMxowZ05jrT9kRQAABBBBAoAEC+oYIv4W4G0PXXHONeSdZnz59pGnTpsZBQWgM+e0rQX0QQAABBBBIL4G4G0Nr1qyR9evX8wqO9Pp+UFsEEEAAAQQiBDLinnoVcVpKb8Rdpfz8fNFB0w0J+pDG7Oxs0XODQd96P3jwYPOiV/3ctWtXcFfE57x588wx+kJYXScggAACCCCAgPcCepfM7sXrWsXdGNqxY4ecdtppMnToUCksLAwtdVVg3LhxsmTJkohD9LUe+gDH8vJy86nbNYM2mKZNmyarV6+WsrIys15bo6nmuWwjgAACCCCAAAINEYj7Ntldd93VkHTNsYMGDTIDrsNPLCkpkZUrV5qosWPHyrnnniu//vWvww+RF154wfQeZWVlmXjtQdJG1ahRoyKOYwMBBBBAAAEEXBbw3/hpibsxpG+ttyNs375dOnToYJJq37696HbNUFVVJXl5eaHo3Nxc0TgCAggggAACCCBgt0Dct8lWrVol+qwhfQ1H8+bNzYyy1q1bJ1UenY2W7BS94uJiKSgoMMvzj/89qfJwMgIIIIAAAgjULWA9gFrsXurO0fm9cTeGrr/+elmwYIEZ1KwvaX300UdlypQpDS5hu3btZNu2beY8/dQB1jVDTk6OVFRUhKIrKytF42KFoqIi0Zluulx07SWxDiEOAQQQQAABBGwSsLshpOl5HeJuDGlBu3TpItXV1aZX6Nprr40aHB1PZXTwdXB2mH5eeumlUafpIO2lS5eamWY6cFrXNY6AAAIIIIAAAgjYLRD3mKGWLVvKwYMHRR+6+NOf/tSM+zlypO63aOuAZx0srTPRdNyPzhC7/fbbZcSIETJ37lw5+eST5c9//rOpk/bszJkzx/Q46cDpO+64w9yW051Tp06V4GBquwFIDwEEEEAAAQTiF2iSEYj/4EZyZNyNoSeffFK08TNr1iyZMWOGuY3117/+tc5q6m21WGHFihVR0TruR2+9BYM+o0gXAgIIIIAAAggg4KRA3LfJnn32WWnRooXooOk777xTfvvb38pzzz3nZNlIGwEEEEAAAQRSTMDuBy5qel6HuBtDwXE+4QV+4oknwjdZRwABBBBAAAEEGp1AvbfJ9FbXH//4R9m8ebN56nSwhp9//jnjeIIYfCKAAAIIIJAmAnH3ojQij3obQ9/85jfNYGkdBH3LLbeEqnbsscdK7969Q9usIIAAAggggID/BdJyALXO+NJl+fLlcvTRR0uTJk3k/fffl/fee0969erl/6tODRFAAAEEEEDA1wIZASvEU8N+/frJK6+8Yp79861vfctMe9cnUf/hD3+I53RXjjn53lJX8tFMHvn+QVfyOunYuh9fYFchXt5abyehLVl9q321LenEk0jPrMviOSzpY9p2cuedeV1+eW3SZY03gYEnH4r30KSOCwTcGTl5c58DSZUz3pOPahrvkckf17ypO3atmh6ffGHjSCEgcf0UxZFS3Ye0ambPq6XqzuXrvas/eSaew5I+ZkC2O3/XBQt64d+XBldt+1xyyRDb0kokobhv/WmbSZ81pNPpf/jDH8qiRYvk3XffTSRPzkEAAQQQQAABBFJGoEGNoddee830BF100UWmAvo0agICCCCAAAIIpI+A9knavXitF/e9kZkzZ8q9994rl112mfTs2VM++OADOe+887wuP/kjgAACCCCAgIsCqfAuMburG3dj6JxzzhFdgqFz587y4IMPBjf5RAABBBBAAAEEGqVAvY2hH//4x6K9QpdccolkxHhM5N/+9rdGWXEKjQACCCCAAAINF8hIx3eTXXPNNUbq1ltvbbCYvltMX9mRnZ0t77zzjjlfB17fdddd8p///EfKyspE30kWKyxZskRuvPFG0XFJEydONC94jXUccQgggAACCCCAQDIC9fYM6ZR6DXqL7NNPPzXrJ554ovms73/jxo2T66+/XsaMGRM6ND8/38xI+8EPfhCKq7miDaApU6bIsmXLzNvu+/fvb55+fdppp9U8lG0EEEAAAQQQcFHAj2OG4ppNpj05J5xwgnTr1k1OPfVU0cbQ3XffXS/9oEGDol7Z0aNHD5NOXSdrj1GXLl1ExyXps4xGjhwpJSUldZ3CPgQQQAABBBBwQUAbDnYvLhS7zizqbQzp2+lfffVVef3112Xnzp3moYurV682cTNmzKgz8UR3VlVVSV5eXuj03Nxc0TgCAggggAACCCBgt0C9jaEnn3xS9GWtp5xySihv7bF56qmnZP78+aE4r1aKi4vNuCMde7TvNXqPvLoO5IsAAgggkB4CTZoErFdz2bt4LVdvY+jQoUPmFlnNguqtMt3nRMjJyZGKiopQ0pWVlaJxsUJRUZGsWbPGLK3OujTWIcQhgAACCCCAAAK1CtTbGNIxO7WFuvbVdk488Tpgury8XDZv3iwHDx6UhQsXmgHU8ZzLMQgggAACCCDgnIA+ZcfuxbnSxpdyvY2ht956S1q3bh21HHvssfL222/XmcuoUaPkrLPOkg0bNphZYXPnzpVnnnnGrOurPfS1HkOHDjVpbN26VYYNG2bWMzMzZdasWWafDrgeMWKEeep1nZmxEwEEEEAAAQQQSECg3qn1ybx/TMcaxQr6So+aoWPHjlJa+r+3zmvDKNg4qnks2wgggAACCCDgjUC9vSjeFCupXOttDCWVOicjgAACCCCAgK8E0vY5Q766ilQGAQQQQAABBBAIE6BnKAyDVQQQQAABBBCoW6CJD99N5sdbf3VfRfYigAACCCCAAAJhAvQMhWGwigACCCCAAAJ1CzTRefU+CzSGfHZBqQ4CCCCAAAJOCvjxlpKvGkNjL6h28vpHpL3jQMSmYxtjv/MPx9IOT/j+584L33RsvdOxWY6lXTPhq5YuqRnlyPZb74xwJN2aiX77jj01oxzb7ltQ+8NW7cy09MOj7Eyu1rTO+22zWvfZuePcb7v3V+rKJfvtLHqtaf3u+p217rNzxzOb3PkuXNnlWTuLXWdab+905/swILvOYrAzDgF3rlQcBeEQBBBAAAEEEEh9AQZQp/41ooQIIIAAAggggECDBOgZahAXByOAAAIIIJDeAn586CKNofT+TlN7BBBAAAEEGiTgw8lk4sdB4Q26qByMAAIIIIAAAukt4GhjaPz48ZKdnS35+fkh5Z/85CfSvXt36d27t+gLW3fv3h3aF76yZMkS6datm3Tp0kWmT58evot1BBBAAAEEEPBIQBsOdi8eVSWUraONoXHjxok2asLD4MGD5Z133pF///vfcuqpp8q9994bvtusV1dXy5QpU2Tx4sWyfv16WbBggfmMOpAIBBBAAAEEEEAgSQFHG0ODBg2SrKzI58oMGTJEMjO/Hqo0cOBAqaysjKpCWVmZ6RHq3LmzNG/eXEaOHCklJSVRxxGBAAIIIIAAAu4K6NR6u5d4ahDrbtPOnTtFO1m6du1qPnft2hVPUlHHONoYisqtRsRjjz0m3/3ud2vEilRVVUleXl4oPjc318SFIlhBAAEEEEAAgbQSiHW3SYfRXHDBBVJeXm4+Ex1W41lj6Fe/+pXpIRo9enRSF7O4uFgKCgrM8vqCvyWVFicjgAACCCCAQN0COrXe7qXuHL/eG+tuk941Gjt2rDlAP599NrEnjHvSGHriiSfkueeekz/84Q+SEWOOXk5OjlRUVIRs9FaaxsUKRUVFsmbNGrP0H1UY6xDiEEAAAQQQQMAmAW042L2Ed2xoB4duxxO2b98uHTp0MIe2b99edDuR4PpzhnRA9X333Sf/+Mc/pGXLljHL3L9/f9PltXnzZtMIWrhwofzxj3+MeSyRCCCAAAIIINC4BbRjQ5dkgnauxOpgiSdNR3uGRo0aJWeddZZs2LBBdNzP3Llz5frrr5e9e/eagU59+vSRSZMmmXJu3bpVhg0bZtZ1gPWsWbNk6NCh0qNHDxkxYoT07NkznvpwDAIIIIAAAgg4KGD3LbJknmjdrl072bZtm6mtfurjfBIJjvYM6ZT4mmHChAk1o8x2x44dpbS0NLRPG0bBxlEokhUEEEAAAQQQQOC/AoWFhTJv3jy5/fbbzeell16akI2jPUMJlYiTEEAAAQQQQCBlBTKsqfV2L/FUNtbdJm0ELVu2zEytX758uWkUxZNWzWMc7RmqmRnbCCCAAAIIINC4BZp41I0S626TSq5YsSJpUI+qlHS5SQABBBBAAAEEELBFgJ4hWxhJBAEEEEAAgfQQ8GMvih/rlB7fRmqJAAIIIIAAArYI0DNkCyOJIIAAAgggkB4C+l4yvwVfNYbuPvMS167PLf96zpW8Xlp9jiv5vLvTer66C+GrI3tcyOXrLFaVNXUlr2POcSefY7vHfkipE5X8yyYnUo1O81cD90dHOhAz/O0WDqQanWT3rMPRkQ7FDJrgzl/fhScnNlW5odUuPLmhZyR2/GmzX0jsxATOeuoqd77fCRQtqVOSeS5QUhk7eDK3yRzEJWkEEEAAAQQQSH0Bd/5pkfoOlBABBBBAAAEE4hCgZygOJA5BAAEEEEAAAQQakwA9Q43palFWBBBAAAEEPBZwZ5Sku5WkMeSuN7khgAACCCDQqAX8OJvM0QHU48ePN2+Qzc/PD134O+64Q3r37i36xvohQ4aIvq0+VtAXr3Xt2tUsuk5AAAEEEEAAAQScEHC0MTRu3DhZsmRJRLl/8pOfyL///W9Zt26dXHzxxXL33XdH7NeNnTt3yrRp02T16tVSVlZm1nft2hV1HBEIIIAAAggg4K6ADqC2e3G3BtG5OdoYGjRokGRlZUXk2rp169D2vn37rDffRj/f5oUXXpDBgwebc9u2bWvWazaqQomwggACCCCAAAIIJCHgyZihn/3sZzJ//nxp06aNvPTSS1HFr6qqkry8vFB8bm6uaBwBAQQQQAABBLwVYGq9Tf6/+tWvpKKiQkaPHi2zZs1KKtXi4mIpKCgwy4wZM5JKi5MRQAABBBBAIP0EHL1NVh+nNob+8pe/RB2Wk5NjGkvBHZWVlaJxsUJRUZGsWbPGLDfddFOsQ4hDAAEEEEAAAZsEmlpQe99EAAAySElEQVSjW+xebCpawsm43hgqLy8PFbakpES6d+8e2g6uDB06VJYuXSo6aFoXXdc4AgIIIIAAAgh4K9DEuk9m9+JtjUQcHTM0atQoWblypezYsUN03I/OECstLZUNGzZYkE3k5JNPljlz5hgD7d3R9UcffdQMnNYp+P379zf7pk6dGjUQ22s48kcAAQQQQAABfwg42hhasGBBlNKECROi4jRCx/1oQygY9BlFuhAQQAABBBBAIHUEeOhi6lwLSoIAAggggAACCNgi4GjPkC0lJBEEEEAAAQQQSBkBP06tpzGUMl8vCoIAAggggEDqC/jxRa2uzyZL/ctMCRFAAAEEEEAgnQToGUqnq01dEUAAAQQQSFKA22RJAjp9+jcXLXc6i1D63+9xJLTu5MreQ9HvbnMiv1tHvu9EslFpXvR/PaPinIp4aMxBp5KOSPehd935N8U7P3DvWVtrdzwTUUenNu5782inko5Id9OtF0ZsO7WxziU3Lf+fNzZzqhoR6V75QuTLtiN22rhxQ+8DNqZWe1Lrp3yv9p027xm7YrHNKcZObt4FseOJjV/Anb/F4y8PRyKAAAIIIIBACgv4cWo9jaEU/sJRNAQQQAABBFJNQF/F4bfAAGq/XVHqgwACCCCAAAINEqBnqEFcHIwAAggggEB6C9AzlN7Xn9ojgAACCCCAgA8FHL1Npu8Wy87Olvz8/Ci6+++/XzIyMsxLXKN2WhHz5s2Trl27mkXXCQgggAACCCDgvYBOrbd78bpWjjaGxo0bJ0uWRE/LrKiokKVLl8pJJ50Us/47d+40b7hfvXq1lJWVmfVdu3bFPJZIBBBAAAEEEEAgGQFHG0ODBg2SrKysqPLddNNNct9995meoaidVsQLL7wggwcPNue2bdvWrMdqVMU6lzgEEEAAAQQQcE7A7l6hVHiIo+sDqEtKSiQnJ0dOP/30Wq9UVVWV5OXlhfbn5uaKxhEQQAABBBBAwFuBpk0C3hbAgdxdbQzt379f7rnnHnOLzIG6kCQCCCCAAAIIINBgAUdvk9UszaZNm2Tz5s2mV6hTp05SWVkpffv2lY8//jjiUO050nFFwaDHaVysUFxcLAUFBWb5pPSvsQ4hDgEEEEAAAQRsEtCGg92LTUVLOBlXG0O9evWSTz75RLZs2WIWvf21du1aad++fUQFhg4danqPdNC0LjrYWuNihaKiIlmzZo1ZsocNj3UIcQgggAACCCCAQK0CjjaGRo0aJWeddZZs2LBBtOEzd+7cWguiDZqJEyea/Tro+o477pD+/fubZerUqTEHYteaGDsQQAABBBBAwBEBBlA3kHXBggV1nqE9RMGgt7oeffTR4KboM4p0ISCAAAIIIIBA6gikwuwvuzUc7Rmyu7CkhwACCCCAAAII2C3g6mwyuwtPeggggAACCCDgrkDTDP9NradnyN3vELkhgAACCCCAQIoJ0DOUYheE4iCAAAIIIJDKAk2s94r6LdAY8tsVpT4IIIAAAgg4KNDUf20h89wkB8lIGgEEEEAAAQQQSG2BjIAVUruIqVm6X6z5uysFO9qlvrvTsqpdqc+wk77nSj6ayUXPLXUlryu6fOlKPtd2v9SVfNzM5MDhf7mSXYvMb7qST6vcS1zJRzM5YcpkV/L68P8b5ko+bmWycY97byqo3OdOF8q5HS9zi8/k85cPSmzP7/LO3v79xgBq2y8pCSKAAAIIIIBAYxJwqd+hMZFQVgQQQAABBBCoTaCpD7tRfFil2i4f8QgggAACCCCAQLQAPUPRJsQggAACCCCAQC0CTXz40EUaQ7VcbKIRQAABBBBAIFrAj7eUHK2Tvmg1Oztb8vPzQ5p33XWX5OTkSJ8+fcxSWloa2he+smTJEunWrZt06dJFpk+fHr6LdQQQQAABBBBAwDYBRxtD48aNE23U1Aw33XSTrFu3zizDhkVP26yurpYpU6bI4sWLZf369bJgwQLzWTMdthFAAAEEEEDAXQF9a73di7s1iM7N0cbQoEGDJCsrKzrXemLKyspMj1Dnzp2lefPmMnLkSCkpsf+5BvUUg90IIIAAAgggkAYCjjaGavObNWuW9O7dW/Q22q5du6IOq6qqkry8vFB8bm6uaBwBAQQQQAABBLwVyLR6huxevK2R1dPldgEmT54smzZtMrfIOnToILfccktSRSguLpaCggKzzJgxI6m0OBkBBBBAAAEE6hbQ2WR2L3Xn6Pxe12eTtWvXLlSr6667Ti6++OLQdnBFB1hXVFQEN6WystIMug5FhK0UFRWJLgQEEEAAAQQQQCARAdd7hrZt2xYq5zPPPBMx0yy4o3///lJeXi6bN2+WgwcPysKFC6WwsDC4m08EEEAAAQQQ8EjA7sHTmp7XwdGeoVGjRsnKlStlx44douN+pk2bZrZ1JllGRoZ06tRJHn74YWOwdetWmThxouhU+8zMTNFxRUOHDhWdWaZji3r27Om1FfkjgAACCCCAgA8FHG0M6ZT4mmHChAk1o8x2x44dTUMouFOn3Meadh/czycCCCCAAAIIuC+QCj05dtfa0caQ3YUlPQQQQAABBBDwVsD18TUuVNePdXKBjSwQQAABBBBAwC8C9Az55UpSDwQQQAABBFwQ0DG/fgv0DPntilIfBBBAAAEEEGiQAD1DDeLiYAQQQAABBNJbwH/9Qh48gTq9v0LUHgEEEEAAAQRSTYCeoQSvyJOvNkvwzIaddlFBdcNOSPDoOy8uTvDMhp12+7NNG3ZCEkc/f/ElSZwd/6mLNrnzEuG1O56Jv1BJHvm7f7dIMoX4Tn/8/O/Gd2AjOWpf5d9dK+kv1riXl2uVciGjLm2Gu5DL11lc99IyV/I693uuZBPKpIkPB9jQGApdXlYQQAABBBBAoD4BH7aF3H9Ra33I7EcAAQQQQAABBNwUoGfITW3yQgABBBBAoJELZFhvrfdb8GNvl9+uEfVBAAEEEEAAAQcF6BlyEJekEUAAAQQQ8JsAU+sbeEX1bfPZ2dmSn58fcebvfvc76d69u3kT/U9/+tOIfcGNJUuWSLdu3aRLly4yffr0YDSfCCCAAAIIIOChgD6A2u7Fw+qYrB29TTZu3DjRRk14eOmll6SkpETeeusteffdd+XWW28N323Wq6urZcqUKbJ48WJZv369LFiwwHxGHUgEAggggAACCCCQpICjjaFBgwZJVlZWRBEfeughuf322+Woo44y8dpzVDOUlZWZHqHOnTtL8+bNZeTIkaYBVfM4thFAAAEEEEDAXQG9TWb34m4NonNztDEUnZ3I+++/L6+88ooMGDBAzjnnHHn99dejDquqqpK8vLxQfG5urmgcAQEEEEAAAQQQsFvA9cbQ4cOHZefOnbJq1Sr5zW9+IyNGjJBAIPFpesXFxVJQUGCWGTNm2O1DeggggAACCCAQJtDE6hayewlL3pNV12eTaS/P8OHDrcFXGXLmmWdKE+u53jt27JATTzwxBJCTkyMVFRWh7crKStG4WKGoqEh0ISCAAAIIIICA8wKu96I4XyX3n0D9ve99T3QQtQa9ZXbw4EE54YQTIqrav39/KS8vl82bN5v9CxculMLCwohj2EAAAQQQQACB9BHo1KmT9OrVS/r06WPuBtlZc0d7hkaNGiUrV640PT/aIzRt2jTR6fa66HR7HRw9b94800u0detWmThxopSWlkpmZqbMmjVLhg4dKjqzTI/v2bOnnfUmLQQQQAABBBBIQECn1XsVtDOlZgeKHWVxtDGkU+JjhaeeeioqumPHjqYhFNwxbNgw0YWAAAIIIIAAAgg4KeDHW39OepE2AggggAACaS1g97R6TS98MpROitLtmkHHGg8ZMkT69esXc3/N4xuy7WjPUEMKwrEIIIAAAgggkJ4C8UyG+uc//2kmU33yyScyePBg8yYLfZ6hHYGeITsUSQMBBBBAAIE0EXCiZygeuuCscn1Y82WXXSb6gGa7Ao0huyRJBwEEEEAAgTQQsPsZQ5pefWHfvn2yd+9ec5iuL126NOq9p/WlUdd+bpPVpcM+BBBAAAEEEPBcYPv27aY3SAuiD2+++uqr5cILL7StXDSGEqR8/0b7LkJdRbjyhcgX3dZ1bDL7Tpg0KZnT4z536Udfv5Mu7hOSOPCOgiRObsCpV37j0gYc3TgOfWlR7Jmgtpf+fNtTjJngy1ufiRlvd+SgjpfZnWSt6b26zb0/S7UWwsYdXX672MbUak9q483frX2nzXvuHrDP5hRTI7k4OnJsL6i+q1Rf8O5U4DaZU7KkiwACCCCAAAKNQoCeoUZxmSgkAggggAACqSGQ0STx94mmRg2iS0FjKNqEGAQQQAABBBCoRcCL22S1FMW2aG6T2UZJQggggAACCCDQGAXoGWqMV40yI4AAAggg4JFAPFPhPSpawtnSM5QwHScigAACCCCAgB8EHG0M6dvm9UmR+ob6YLjqqqukT58+ZunUqZP5DO4L/1yyZIl069ZNunTpItOnTw/fxToCCCCAAAIIeCSgDQe7F4+qEsrW0cbQuHHjRBs14eFPf/qTrFu3ziyXX365DB8+PHy3Wa+urpYpU6bI4sWLZf369bJgwQLzGXUgEQgggAACCCDgqoD1vlSxe3G1AjEyc7QxpC9Qy8rKipGtSCAQkD//+c8yatSoqP36vhHtEdKHLDVv3lxGjhwpJSUlUccRgQACCCCAAAIIJCvgaGOorsK98sor0q5dO+natWvUYVVVVZKXlxeKz83NFY0jIIAAAggggIC3Ajq13u7F2xp9fdvPkzLora9YvUINLUxxcbEUFBSYZcaMGQ09neMRQAABBBBAIM0FPJlary9Z++tf/ypvvPFGTP6cnBypqKgI7ausrBSNixWKiopEFwICCCCAAAIIOC+QoQOGfBY8uU22fPly6d69u+jtr1ihf//+Ul5eLps3b5aDBw/KwoULpbCwMNahxCGAAAIIIIAAAkkJONoY0ttgZ511lmzYsME0fObOnWsKq42bmrfItm7dKsOGDTP7MzMzZdasWTJ06FDp0aOHjBgxQnr27JlURTkZAQQQQAABBJIXsHu8UCr0Mzl6m0zHBcUKTzzxRFR0x44dpbS0NBSvDaNg4ygUyQoCCCCAAAIIeCrAE6g95SdzBBBAAAEEEEDAfgFHe4bsLy4pIoAAAggggICXAo6Or/GoYn6sk0eUZIsAAggggAACjVGAnqHGeNUoMwIIIIAAAh4JZGQEPMrZuWxpDDlnS8oIIIAAAgj4TiAVZn/ZjUpjKEHRSf/438y3BJOI67Q1b8V1WNIHffjzi5JOgwT8I7Dloeh3Bjbm2g3qeFljLn7Msi+5ZEjM+MYa+f1vH26sRa+13L94vWWt++zcsZTH8CXNSWMoaUISQAABBBBAIH0EMnw42tiHVUqfLyQ1RQABBBBAAIHkBegZSt6QFBBAAAEEEEgbAcYMpc2lpqIIIIAAAgggEEvAj7eU/FinWNeOOAQQQAABBBBAIKaAo42h8ePHS3Z2tuTn54cyX7dunQwcOFD69OkjBQUFUlZWFtoXvjJv3jzp2rWrWXSdgAACCCCAAALeC2RY98nsXryulaONoXHjxsmSJUsi6vjTn/5U7rzzTtFG0d133y26XTPs3LlTpk2bJqtXrzaNJV3ftWtXzcPYRgABBBBAAAEEkhZwtDE0aNAgycrKiihkhtWc/Pzzz03cnj17RN9WXzO88MILMnjwYHNu27ZtzXrNRlXNc9hGAAEEEEAAATcEdAi13Ysb5a49D9dnk82cOVOGDh0qt956qxw5ckT+9a9/RZWuqqpK8vLyQvG5ubmicQQEEEAAAQQQQMBuAUd7hmIV9qGHHpIZM2ZIRUWF+ZwwYUKsw+KOKy4uNmOPdPyRpktAAAEEEEAAAecEmli9QnYvzpU2vpRdbwzpYOjhw4eb0l155ZUxB1Dn5OSYxlKwCpWVlaJxsUJRUZGsWbPGLDfddFOsQ4hDAAEEEEAAAZsEMqxHUNu92FS0hJNxvTGkY4T+8Y9/mAK/+OKLZrZYzdLrbbSlS5eaQdM6cFrXNY6AAAIIIIAAAgjYLeDomKFRo0bJypUrZceOHaLjfnRW2COPPCI33nijHD58WFq0aCF6m0uD9u7MmTNHHn30UTNw+o477pD+/fubfVOnTo0aiG128D8EEEAAAQQQcFlAB0/7KzjaGFqwYEFMrTfeeCMqXsf8aEMoGPQZRboQEEAAAQQQQAABJwUcbQw5WXDSRgABBBBAAAH3BTLMtHr383UyRxpDTuqSNgIIIIAAAr4T8N9tMtcHUPvuO0GFEEAAAQQQQKBRC9Az1KgvH4VHAAEEEEDAXQGdVu+34L8a+e0KUR8EEEAAAQQQcFSAniFHeUkcAQQQQAABvwn4b8wQjaEEv6NzzhmW4JkNO+39Pn9t2AkpfnRh6QuulfCUNoddyeuBb13kSj5uZvKN/1vsSnabbv2uK/mQSeoL3NX/ktQvZANLePqJBxt4RuM43I+zybhN1ji+e5QSAQQQQAABBBwSoGfIIViSRQABBBBAwI8C9Az58apSJwQQQAABBBBIawF6htL68lN5BBBAAAEEGirgvxE2/qtRQ68pxyOAAAIIIIBAWgs42hjSF61mZ2dLfn5+CPmtt96Ss846S3r16iWXXHKJfP7556F94StLliyRbt26SZcuXWT69Onhu1hHAAEEEEAAAY8EmmRkiN2LR1UJZetoY2jcuHGijZrwMHHiRNO4efvtt+Wyyy6T3/zmN+G7zXp1dbVMmTJFFi9eLOvXr5cFCxaYz6gDiUAAAQQQQAABlwX0OUN2Ly5XoUZ2jjaGBg0aJFlZWRFZvv/++6LxGgYPHix/+ctfIvbrRllZmekR6ty5szRv3lxGjhwpJSUlUccRgQACCCCAAAIIJCvgaGMoVuF69uwZatgsWrRIKioqog6rqqqSvLy8UHxubq5oHAEBBBBAAAEEvBXQqfV2/+dtjURcbww99thj8vvf/1769esne/fuNT0/ySAUFxdLQUGBWWbMmJFMUpyLAAIIIIAAAmko4PrU+u7du8vSpUsNtd4ye/7556PYc3JyInqMKisrReNihaKiItGFgAACCCCAAAJuCLjej+J4pVyv0SeffGIqdeTIEfnlL38pkyZNiqpk//79pby8XDZv3iwHDx6UhQsXSmFhYdRxRCCAAAIIIICAuwJ23yLT9LwOjjaGRo0aZabRb9iwQXTcz9y5c83MsFNPPVW0h6hjx45y7bXXGoOtW7fKsGFfv/w0MzNTZs2aJUOHDpUePXrIiBEjRMcaERBAAAEEEEAAAbsFHL1NplPiY4Ubb7wxKlobRqWlpaF4bRgFG0ehSFYQQAABBBBAwFOBDOs5Q34LjvYM+Q2L+iCAAAIIIICA/wQc7RnyHxc1QgABBBBAIN0F/NczRGMo3b/T1B8BBBBAAIEGCFgv42jA0Y3jUP/VqHG4U0oEEEAAAQQQSBEBeoZS5EJQDAQQQAABBBqHALfJUvo67fzqb66V77H/uPNlOD/XnXyufXGxK3ZNXOxe/dudm1yp09afRL6M2KlMf17wpVNJR6U740p3vnf9n/r6AaxRBbA5YpJLdi9WHmVzyWtPrk2zI7XvtHHPmO4HbUyt9qR+8uoxte+0cU9R/j4bU6s7qWYZTes+gL0pI0DPUMpcCgqCAAIIIIBA6gtkNPHfCBsaQ6n/vaOECCCAAAIIpJCAOz3HblbYf807N/XICwEEEEAAAQQavQA9Q43+ElIBBBBAAAEE3BNgar171uSEAAIIIIAAAgi4IkDPkCvMZIIAAggggIBfBBgz1KArWVFRIeedd56cdtpp5q3zDzzwgDl/586dMnjwYOnatav53LVrV8x0582bZ47R43SdgAACCCCAAAII2C3g6ADqzMxMuf/++2X9+vWyatUqmT17tlmfPn26XHDBBVJeXm4+dbtm0AbTtGnTZPXq1VJWVmbWa2s01TyXbQQQQAABBBBwRqCJ6KghexdnShp/qo42hjp06CB9+/Y1pTn22GOlR48eUlVVJSUlJTJ27FgTr5/PPvtsVIlfeOEF02uUlZUlbdu2NetLlrjzcLuowhCBAAIIIIAAAkYgIyND7F68pnW0MRReuS1btsibb74pAwYMkO3bt4s2lDS0b9/ebIcfq+vaaMrLywtF5+bmmrhQBCsIIIAAAggggIANAq40hr744gu5/PLLZebMmdK6deuIYgdblxGRDdgoLi6WgoICszz04N8bcCaHIoAAAggggEDDBbTpYPfS8FLYeYbjjaFDhw6ZhtDo0aNl+PDhpuzt2rWTbdu2mXX9zM7OjqpTTk6O6ADsYKisrBSNqxmKiopkzZo1Zpl8wyU1d7ONAAIIIIAAAgjUKeBoYygQCMiECRPMWKGbb745VJDCwsLQ7DCdJXbppZeG9gVXhg4dKkuXLhUdNK2LrmscAQEEEEAAAQS8E7BGDNn+n3e1+TpnRxtDr776qjz55JPy4osvSp8+fcxSWloqt99+uyxbtsxMm1++fLnZ1uJoD8/EiRNNyXTg9B133CH9+/c3y9SpU0XjCAgggAACCCDgpYA+Z8juxcv6iDj60MWzzz5btHcoVlixYkVUtI79efTRR0Px48ePF10ICCCAAAIIIICAUwKONoacKjTpIoAAAggggIA3AjrxyW/B0dtkfsOiPggggAACCCDgjYA+a7Bbt27SpUsXifWw5mRKRWMoGT3ORQABBBBAIO0EtOlg91I3YnV1tUyZMkUWL15s3mSxYMEC81n3WfHvpTEUvxVHIoAAAgggkPYC9s8lq/+2m76WS3uEOnfuLM2bN5eRI0eat1nYdTFoDNklSToIIIAAAgggkJBA+AOUdTKVbocHx99KYc32Svvw8MMPu2JAPokzY5eYnVtuWjq38iKfxL4LXKPUd3PzGiWu4c2ZixYtCljPLQxlPn/+/IB12yy0newKPUNW07NmCzS8NWrnOvkkroldYnZuuWnp3MqLfBL7LnCNUt/NzWuUuIY3Z8b7VopES0djKFE5zkMAAQQQQAABVwT0Aczl5eWyefNmOXjwoCxcuFD0bRZ2BZ4zZJck6SCAAAIIIICAIwKZmZkya9Ys81ounVmmD2Tu2bOnbXk1vcsKtqXWiBPq16+fK6Unn8SZsUvMzi03LZ1beZFPYt8FrlHqu7l5jRLX8ObMrl27yo9+9CO58cYbZdCgQbYWIkMHHdmaIokhgAACCCCAAAKNSIAxQ43oYlFUBBBAAAEEELBfgMaQ/aakiAACCCCAAAKNSIDGUCO6WBQVAQQQQAABBOwXoDFkvykpIoAAAggggEAjEkjbqfU7d+40lykrK8uxy/Xee++Zd6foY8Q16EOj9LkIPXr0sDXPPXv2iL7NNzyfoUOHynHHHWdrPm7Vx9ZCk5gjAi+88II8++yzEd+5Sy+9VC688EJH8iPRhgv48c+r3753frxGDf+mpsYZadUz9NFHH5mXu5144okyYMAAOfPMMyU7O9vEbdmyxdYr8utf/9qkq5P1NB9ddH3UqFEyffp02/KyHkkuffv2lZUrV8r+/fvN8tJLL5kpzrrPruBWfYLl1b/0Jk+ebBqP2oDUdW3wEbwX+PGPfywPPPCAnHPOOfLTn/7ULLr+4IMPmimvdpZQG/q33367dO/eXfQfLscff7z5x4TG7d6927asDh8+LNZrPkxjrnfv3qLLd7/7XZkzZ44cOnTItnzcqo+bf17dsnPre+dWfdy8RrZ9gf2ckE6tT5cwcODAgPXUyoD1ZQ9VWdcXLFgQsBpHoTg7VqznIQSsp2RGJfXVV18FrDfvRsUnGnHqqacGdu3aFXW61fMV0DLYFdyqj5bXeoZEwPohMtfllVdeCeii10jjbrjhBruqFLB+TAO33XZboFu3boG2bdsGrB/bgPWja+JimSaasfVjGrB+VANWb12gV69eZrF6UAIPPfRQzO9IovnoeW7Uqbbv1ZEjR2z9bmt9hgwZErD+8RDYtm2bbpqg6xo3ePDgYFTSn9YbsAOTJk0KvPbaa4GKigqz6LrGjRgxIun0gwm4VR83/7y6ZefW987N+rjxGxH87vFZt4D2VqRNqKsRUte+RID0B9bqbYo6VeO0AWNX0L8g9AewZtA4O+vkVn20Hm79pefWD5Nbf7mqnRt10gZdWVmZZhcRVq9eHcjPz4+IS3ajrj8rde1raL61fec0nbr2NTSfuspc176G5pMKf17ttnPre1fX9a5rXypfo4aWLR2PT6sxQ/rU2h/+8IcyduxYycvLMx1+1r8CZd68eXLGGWfY2gE4c+ZMueCCC8T6wxPKS2/Tbdy40TxS3K7Mfvazn5nbZNaPYEQ+y5YtkzvuuMOubMSt+miBW7RoIa+//rrou2jCg8bpPruC3hq1eoYikmvfvr2Je+yxxyLik9l444035P33349IIjc3V6yeSrF+ACPik91wo05PPPGEuW25d+9e0Xpo0D9Hbdq0Ed1nZzj55JPlvvvuM39m27VrZ5Levn27ySf4Z9iO/PQWnPVWbLn88sulSZOvRw9YPV0mzuo1tCMLk4Zb9XHzz6tbdm5979yqj5vXyLYvsI8TSqsnUOvL3ebOnRsxqFn/Mr/kkktkwoQJctRRR9l6qfUvU+tf0BGDTPUHvmnTprbmY93SER1jU3MAtZ1/iWuB3arP2rVra/2xnT17tm2vfNAG5He+852YP7TamFy+fLkt10kbPbfcckvMH9rf/va3YvWo2JKPJuJWnTSvjz/+OOI7pw1Ju4N+t3WMXUlJiXzyyScmeW0U6TgybcjqD5cdIdiIfPHFFyX458bqXZXzzjvP5H/KKafYkY24VR8trFt/Xt2yC14Ap793btbHrWsUtOOzdoG0agzVzsCeVBRw+i89t36Y3PzL1a06peL3xa4yffbZZyYpHaxNaJiA3+z8Vp+GXc30OprG0H+v93PPPScXX3yxK1df89H8nA5FRUVSXFzsdDbGzY36OF4RFzLw+1+uOrNRe/bcCJqP5ud00Ea5E71eNcvtVn3c+vtH6+eWnVvfO7fq4+Y1qvk9TNfttJpaX9dF1vEoboVHHnnElax+8IMfuJKPW/XRyrjx46f5OPWDrr0N4T0O+perW8GpOoWX3408gvlZs/GCq45+6i10N4Jb9XHzz6tbdm5979yqj5vXyI3vdmPII+16hnjIVWP4Wnpfxuuuu07c+Avpoosukueff96VCttdJx3IHD5OLTjA2ZXKkEncAm48YDbuwthwoB+/d367RjZcZteTSKvGkD7kynpejXkYYnAWTGVlpVjPHjJx+iA3u4I+IDD4NF590NrNN99sZkhZU49lxowZYtcPh6Z97733mqcB6wDTjIwM8yBJfRqw1seup1C7VZ9wfz/+pRdev8a6vm7dOrGevyP63dOnqmvQP0f6Xfv973/vaO/dF198YWbmde7c2bbvdvA6WNOJoyY86MNS9c+UU8Gp+ujMVX0g5ooVK4yT1u3zzz+X888/3wwI79Spk1NVMunqj7tdg9uDBfXye+dEfby+RkFXPv8rkE7PE9BnRLj1kCtrqn6I1upaDVhT4M1zh6zZQwGroRLal+yKG8+V0TK6VR/N68033zQPwdQHIFqPJzCLPjdFH4xpTVPXQxwJ1lRxk741CNn29K1ZI4FVq1YF/vKXv5hF1zXO6eBEnU4//XRTl5pl14cUWk9urhmd1Lb15PHQ+frwTWs6feDcc88NWP+YCVg9aqF9ya5YszED3/jGNwL6MEz986qLPiRT43SfXcGt+rj5gNlf/OIXIZ53333XPJfJamwFrMcIxPyehA5u4Ipb3zu36uPmNWogdVoenlYPXXTzQWThjQf9Qxweam6H72voel0PaqtrX0Pzcas+Wi63/tJz64fJrR9atXOjTnU9zFMbD3aG8O+dNoKCjeFNmzYFrOeG2ZaVNrw3b94cld4HH3xgnkoetSPBCLfqU9c1qmtfItUKr9OwYcMCpaWlJhl9COdZZ52VSJIxz6mr3HZ+71KhPnXVNSYOkUkLpNVDF918yJXestJnyFhXyHRP62ewu12fLWFXcOshbm7VR1327dtn3h1X00if16P77ApW70woKX1Apb54VAdoWz+AYr2CQay/2EP7///2zi/UquKL40OpYaapWA89BPmmvUioSP4BqdQwwX8hWZb6JJqigsQNxYoeAq9UXB8y/EspqJWoUWBRKZIYQqSSVJDYgz4YCCXYfZD5rc/iN5u9zz3neO/Zc+Yez10Lzt17z+xZM/Odc/deZ836U+ZE0otozKLKrQl5+Wofly9fLsO+0DbFnMjZha3Tq6++mgX6JOgiufDC1nBhUJEu2OYJBvRsk8X8PyIfVdg6zw+XbcCYucnyvJs5n5QBZvNzunbtmuZ0o4wtxtu3b+erS533x/eumfPprzUqtQht3HhACUM8qIkEnCIQIsaqROiFiHj9999/OxLE4j00YcKEaF+pQ4cOqQ0AiTKxsUHgCkHpDh8+HK2fVPNhwP3x0Gvmi6k/XrTg2Kw5kZD166+/LgQvRWhYs2ZNNAGS8UM4PJA0lR8TxGsijhJBERGECKIai1auXKkRzyV1SkHAw54wpgdRqvkgmBJgduvWrQUjd4JVxpwP+PPjAb6sEbZjJIx+8MEHdWliCpKpvnep5pNyjWL9n7QznwFlQJ16IXnw4W0jti7uoYceyrrPGyNnhZFOxK5ChT3J46PRiCOx1YzkCxYsyF4UsfjW4lPtZcsDN5a2hn55YIs6OnvRYtAYXrS8gC9dulRreH0qx8AdwbTaixYNVEdHR5/41bs51ZzqjSFm3dWrVwvsHnvsMTd48GD9cXH69Gm3cOHCQn2ZCzR0RLrOe8jxnRs/fnwZtoW2KedT6LiJF6dOnSpwR+PB844fZ5999pkKyYUbWvyi3ebT4nC3zPBMGGrSUnR1dWkOsnHjxjm8ID788EOHhxcUM0AYqmg0XdCuXbsc6Srmz5/vTp48qWlGYnnIkXdq2LBhTvbm3UsvveRefPFF1XRpx/fon5QvphQvWpYhxZyCByOCQ9BGPvroo/r9junBeI9+rVpi2Ggj0Qyx9ZsX7ngGoRlCoLzX6MKFC6olZNxonPAO5tmHh+7mzZszbdS9Mq92XKN7Bfuq4xTVplETECB7N548EIaZGHuKzZJeyzaZHmP8yfOaOHGiF9seZSsuu1EziNPPnTt31LNGthT8mDFj1NtGkid62Y6JMZWMh+SE8pJ3Sg1XRVPjxUVXzylrhqdX1rGd9AqBWh6MogHzzz33XK949PYmEby8CFj+lVde8QcOHCg0yxuLFyoauBBNZNaK7x/eZGRJF8Hfy9Z2Vlf2BONcvJUkYXNZVnXbixbSS/gDj4ef2HPph3PKRBtZt21fK+Wl7j/66CMvAok/c+ZMoXneM6tQ0cBF3rBZQpV4MT/wP/zwg1+/fr1ftmxZAxyrNxENuP/000+z53f1u8qXplyj8qNtfw5sERg1AQFRrRe4Ihjhqrthwwb1lipUlrjAlVliYHixSerhXZMXlEp0oU3zDyIKCFEgmgHPPzSCUUxK9bJttxcta5DiZVvPS7FeXSPfEdkGU8H46NGjXhIqe67/++8/ZVX5nWyEf2iT54Ug1KxQGLicS9JeDREgSZs9oTZEcxOGEe1IGJFaVK+uVpt65eCF0Cjx07xovfUZF+7P4xrKGj3mn2d4nIYwKYSoQHCNRbIV6xctWuT5ISYacP/FF1/47u7uWOwzPvXWoV5dxsBOoiJg6Tiq6svKF2LEzPZYIPbQyd+FIfXFixdDcekjWxbs0YtWyBEY7Pr168qTYG7yTSnNPzCo5IWaHXsKglhWbs2ENo0eQ2LTfD4oztmCidnXihUrFCN58GngTY7y0NNh572yGp1HaPfmm2+GU81ez1xOnDihBruxU6ZgYByyrbOFSoBPPGJiUvBgZIssEOdsW0gcoFAU5Sgu9OogwNbv8ePHdYuZwIEhx1uUTiqYnD9/3r377ruOecqPFzXcrril4Uts0jo7Ox32adu3b3d//PGHzmnmzJlR8wgS8PDIkSMFjzuMznG4YAwxia2qgwcPOtHQOHGndzx7sOXif6nyuVGmX551Ipg4idWlvMNWH04jwVO3DP/Qli1fbJ14DokArpHocRDgeYH5QSxKuUaxxtzWfKKKVsYsQwDVtAgm2XX+pFKVnK+LdS4u6J4YKbHot99+i8XqrnzYapEXa2F7gq2K9957TwMw3pVBL2+ojPckL0D/9NNPq5Yt5i/aPK/KPiuvezn0mrfl+xIDY407JIK5BircuXNnzXZ9qUATKdGNPXG7JOq0/oImTg9lIqT0hdVd74Uv27N52rt3r0fz+vjjj+eLS53Ly86LcOJFUPFPPPFEISBmTK1Dfn3CgNlmYptu+fLloaj0ka15tsPEg1WDIKJp4JyymM8FBsr3oJLeeust/V+KGS8HfPKfsH3Jc1YE5MohNHxdbY3QvEvuOC9Ca8N8KxuGNUKzzvqAVbPWqLJvu+6JAJK7kSHQUgjkX7aoqvmEly11sajdXrTgUu1B3oyXrRiE+2+++aaHXUXe9ibGOm3atEn7qeRFPzFftLy8859ge8eLNqY9ypIlSyqn0rRropwT+JAXOT/Atm3bFjVqdxj4yy+/rMJcuA5Hye3nBw0aFC6jHJmTaKKUF9GuEWBjRiKH8fTp06OMtS9MWCM+YGnUPwiYN1lb6/3ab3KiFVB1dYyZkbtJ7JPcs88+W2BH6IO1a9fqFkahosGLt99+u9By9erVWcwpxkC8kViE+z6xcZpJxHvBa7HZnpJhDrVCVIhAlAX4C/eWOdbqJ3YojBT98J0DHzyWRNOqXlcSwduJAOvEdtGJTVQZqHq0ZauMrSqxg3K//vqrAzP5sRE1FEbKOaWYD2YGlfTdd99p/jjK2RY2SohA/8hg1qsh0BgC5KZKQXv27EnRjU/VD5OJ1VcqT0nGLIKXxyibfH5iw+PFVZxipWpasFDX12O79cMaoRFku3z48OEeZwFIAiJGNTaGJxo18gbiMYvnH1tJ77zzjmpY2HqORanmlGo+fH/RBH3//ffqFcdR7An1HC85o7QI2DZZWrytt14ggI1GtQ8PwyFDhvSCQ/lbUgldqfoBkVh9pfKUZMypBK926yfveZU/B9PYdmqphJT8PPLnseeUaj7YwuFNKJppTU7NPLBXM+ofBAZUOo6ECjfrqgQCeCZJctMeXi/yL+LEwLkE52JTokxXI/rJe0pVu6cvZan6YUwp+gqekvJCUhiCpyQpLWJ6SsIcD6gQvV3c0p38YnaLFy9Wr0LWKRa1Wz/yoyFLiyHJbTOY8Mi67764TsRiF+Tuv/9+DXpIUNYRI0Zof0OHDo3aV6o5pZoP64C3IgFsOfJ/xbamUf8gYMJQ/+BuvdZB4IUXXlD33PCyzd+K3UMsSiV0peoHXFL0hY0TL4w8cU157FABqQSvduuHVCUPPPCALlFe+CFy8/79+/NLV/o8lZCSak6p5hOAJ0EwYRDEEDwTJEOdHRMi0D8KKevVEOh/BIikLbncqg6EIHKxKFU/jDdlX7HwqccnVYiKduunHqax60IQzEq+N27c8JJCo7K45a/bbT4tD3iLDNC8yRIKntaVIWAIGAKGgCFgCLQeAnE3j1tvfjYiQ8AQMAQMAUPAEDAE6iJgwlBdeKzSEDAEDAFDwBAwBNodAROG2n2FbX5tjwCePBibP/nkk07cpjXnFd5REHm21q1b1xAGeG9JVNyG2qZsRA4pcmMZGQKGgCHQKAJFl5BGuVg7Q8AQ6DcEcGEOSYEljYRbunSp++effxwRe0ngy6edKQhDzNvIEDAEDIFGEDDNUCOoWRtDoEURIOP2xx9/7Hbs2EFAVY3LQ6gC6NSpU6pBQosk0W/dv//+q/UzZsxwc+fOdZJw061ataqQ6TxMk6zxEmFYtU/wD0Tahaeeeko1Us8884wWS9RjR8yhyZMnaz/Hjh3T8n379jn4kB4CrRNjlKBzes+UKVOc5J3T+8hUP2fOHO1P8kQ50ldAkqRTtVzEmho7dqxmFqdcoh478QrUub3//vsUGRkChoAh0DcEWsSrzYZhCBgCDSIwbNiwHi0ffvhhT1ZvQvyLoKP1IhRpwk4uRBDyEnNG6yUejRcBRNM3EA1XYp7o/aS/wD0aCtnoSecg23GaVJJkphIjJcuCHu7p6Ojwn3zyiba7efOmZuS+deuWl7xyXoLyedFaedpKcD7NBM6N69ev9yLIaBsykP/+++96TmLOkCn8tdde8xJwUbPYk6QTXlB+jlpgfwwBQ8AQ6CMCtk3WN9nR7jYE7lkEpk6d6jZu3OgkH5JbuHChI9gbhAYHTQsk8ZWcZDjXKM9a8P8/JGc9evSoXklMHk1iK4KSQ6skKQS0fPTo0Xo8efKkJpns7OzUa4nb4v766y89F8HGSa4s/YjA5ubNm6flkn7FSUwaDbb5448/alRerZA/3d3d4VQ1SwQRlJQgUaOEZx3YiSFgCAxIBEwYGpDLbpNuZwT+/PNPTY/Altnly5ezqbKdxHbYV1995RCMSHkCkW08T5XXpMD49ttv3dmzZzXlAlHAEXBqkfwgc59//rluu+XvOXfuXBYVmXKEmnyUZFIRYPg9cuTIzAYq357zcD/n9GNkCBgChkAMBMxmKAaKxsMQaBEE0NZg9/P666/3EHKwxUED88Ybb7hJkyZltjg//fSTu3Lligoihw4dctOmTSvMhnxWo0aNUkEI+x3ZutJ67HxIkUBbKNj8zJ4923V1dWXCys8//6z1vflDXis0TaQngBB4fvnll7pN0TRh/2RkCBgChkCjCJgw1Chy1s4QaBEEbt++nbnWi82PmzVrltu6dWuP0X3wwQdOMnJrMtfBgwe7559/Xu9BMEJ4GjdunAoiCxYsKLTFmBmtDfVolxCCoEceeUSNtdlyw6V/yZIlWr5lyxZHDiySxuLuz3Vf6MCBA2737t3Kk/bBALsWD/ohvABjMAPqWihZuSFgCNRDwNJx1EPH6gyBNkeALTBse7788ss2n6lNzxAwBAyB2giYZqg2NlZjCBgChoAhYAgYAgMAAdMMDYBFtikaAoaAIWAIGAKGQG0ETDNUGxurMQQMAUPAEDAEDIEBgIAJQwNgkW2KhoAhYAgYAoaAIVAbAROGamNjNYaAIWAIGAKGgCEwABAwYWgALLJN0RAwBAwBQ8AQMARqI/A/SXfGAUoBD7wAAAAASUVORK5CYII="}}},{"cell_type":"markdown","source":"## 3. Taking **Meaningful Football Action** regarding Coverage Efficiency\n\nAfter validating Usama’s claims, we can start to use these metrics to drive insights + take action on Gunner skill\n\n### 3.1 Segmenting by Gunner tendencies\nFirst, we can generate magic quadrants for Gunners (Garmin would be proud!)\n\n![Screen Shot 2022-01-06 at 12.56.15 PM.png](attachment:457283d0-0b7a-486d-928e-b61744ac1d18.png)\n\n*Note: You can find a an interactive version of this plot in the appendix*\n\nBy plotting distance against displacement (logged for cleaner/condensed visual) we can see 4 types of Gunners:\n\n**Work Horses:** Gunners like `Tyron Johnson` and `Harrison Hand` have better than average distance, but take a nonoptimal path to the PR, wasting additional time/energy. They may not be breaking arms bars and crashing to the ball, but still get the job done. If your player falls into this category, work on their ability to break arm bars\n\n**Inefficient:** Gunners like `John Reid` and `Shaun Wilson` are near the bottom for both distance and displacement... Perhaps your next practice should be gunner tryouts...\n\n**Blockable, Slow:** With lower than average displacement and higher than average distance, gunners like `Deiondre Hall` and `Henry Black` often are fighting _through_ their jammer towards the PR, but not making it far enough down the field to make an impact. Speed to get around defenders may be an issue, or perhaps learning to shed blocks may also benefit these players.\n\n**Elite:** Gunners like `Jeff Wilson` and `Juwann Winfree` have great distance and displacement, and have certainly earned their spot in the starting roster. Give your Elite Gunners a raise, and have your new guys learn from 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"}}},{"cell_type":"markdown","source":"### 3.2 Ranking by Efficiency\n\nBeyond comparing these metrics, I wanted to distill these 2 metrics into a single number called `Coverage Efficiency`. To discover the appropriate relationship, I trained a linear regression model with these 2 features + return yardage and used the coefficients. This generated:\n\n$$CE = 20-(0.53*Distance+.0013*Displacement)$$\n\n*Important Note: I added the “20 -” at the beginning because most sports fans prefer (1) the higher the metric the better the player and (2) sports metrics that go up to round numbers. 20 was chosen because it was close to the maximum relevant efficiency noted (20.8). A score of 20 is the perfect gunner, 15  is average, and a score below 10 is terrible.*\n\n*Also if you are dismayed by the very small coefficient in front of displacement, it's important to remember than this number is an order of magnitude larger than distance (and also has a smaller effect on kick returns than distance)*\n\nWith this, we can rank order our Gunners to find the top 10 over the past 3 seasons:\n\n![Screen Shot 2022-01-06 at 1.04.28 PM.png](attachment:76dd2235-f022-4220-8057-ba2ee78c30d0.png)\n\nInterestingly, **Famous TikToker Chase Claypool** tops the list as the most efficient gunner! Maybe this makes up for his game-losing dance on 4th down this season. Or speaks to the fact that he should stick to special teams...\n\n*I may have lowered the threshold on minimum routes slightly to make these jokes...*","metadata":{},"attachments":{"76dd2235-f022-4220-8057-ba2ee78c30d0.png":{"image/png":"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"}}},{"cell_type":"markdown","source":"Coaches can use this metric to not only choose their best gunners, but also decide on which gunners to double-team. \n\n### 3.3 The Impact of Double-Teaming on Coverage Efficiency\nSpeaking of, we can also use Coverage Efficiency to judge the impact of Double-Teaming a gunner. **On average, double-teaming a gunner halves a gunner’s efficiency** (`-83% decrease`), placating even elite gunners like `Mathew Slater` and `Olamide Zaccheaus` to being average, even bad. If you can spare it, you should be double-teaming your opponents' most efficient gunners often.\n\n![Screen Shot 2022-01-06 at 1.42.31 PM.png](attachment:4a59a5c9-e413-4517-9ede-54397d0f4299.png)\n\n*Note: X Axis is % **decrease** in efficiency when double-teamed*\n","metadata":{},"attachments":{"4a59a5c9-e413-4517-9ede-54397d0f4299.png":{"image/png":"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"}}},{"cell_type":"markdown","source":"## 4. Judging a ~~Book by its Cover~~ Punt by its Gunners: Can we apply Coverage Efficiency to the Offensive Line?\n\nWhile following the rabbit hole around gunners coverage efficiency, I found a data insight that surprised me-- on plays that end in a tackle, an offensive linemen (OL) has an opportunity to tackle the PR on a whopping `65%` of plays! That’s nearly 15% more often than Gunners (`51%`).\n\nThis led me to explore how OLs perform across these two metrics.\n\nOne modification when calculating displacement is that the OL needs to block prior to the punt, so displacement and optimal path will be calculated between punt and catch, rather than snap to catch as with Gunners. Also you’ll notice the average return length on charts has increased, this is because we can look at returns on all plays, including plays where both gunners are double-teamed.\n\nThe results were not as powerful as the Gunners in terms of predicting return yards. While OL proximity had about the same strength of relationship with return yards as gunner (`0.23 Pearson`), their displacement had no relationship (`0.01 Pearson`). \n\nHowever, when I treated the entire OL as a single unit and measuring displacement as the polygon created by the edges of the OL during their run down field, this new OL Displacement metric has about the same relationship with return as G displacement (`0.11 Pearson`), and had a surprisingly strong relationship with minimum OL distance (`0.3 Pearson`). *After peer review, I want to emphasize out that the polygon used to calculate displacement does not use the min/max of x is used to calculate distance, so the variables aren’t as confounding as they might appear.*\n\nFollowing the same steps as before, we can find Offensive Linemen that perform well or poorly, just as we can find individual gunners!\n\n![Screen Shot 2022-01-06 at 12.56.15 PM.png](attachment:64fbfab2-2e31-4e8d-960d-cf0deaf57b5e.png)\n\n*Note: You can find an interactive version of this chart in the appendix*\n\n","metadata":{},"attachments":{"64fbfab2-2e31-4e8d-960d-cf0deaf57b5e.png":{"image/png":"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"}}},{"cell_type":"markdown","source":"# Conclusion\n\nThere are of course many ways to analyze and breakdown coverage performance. There are a large amount of moving parts on a punt play, and coverage is just one small part of it.\n\nIn terms of validity of “Coverage Efficiency”, when ranking team performance against a [Sports Illustrated guide on the 2020 best Punt Coverage Teams](https://www.si.com/nfl/talkoffame/nfl/rick-gosselins-2020-nfl-special-teams-rankings), it seems that we are in agreement that New Orleans was the #1 Punt Coverage team in 2020, Baltimore was top 5, and ATL/DET/WAS were top 10 coverage teams. \n\n![Screen Shot 2022-01-06 at 1.21.42 PM.png](attachment:5f470e2c-192b-489f-95a2-f3d2ef68d46c.png)\n\nAn area to explore further, that would have muddied the waters of this analysis but would be very interesting, is diving into the distinctions between Centers, Guard, and Tackles in both what constitutes an optimal path and their block prowess. I know when reviewing punt coverage tactics that it is encouraged to have your linemen spread out to own return lanes, just as you would do for a kickoff return (Although while reviewing NFL punts I did not see this... with most linemen gunning straight for the ball)\n\nI had a variety of failed hypotheses-- from quantifying rush success to modeling punt coverage players as electrons entering a magnetic field-- and Displacement Theory was the one that  most clearly had real-world application and value. \nI hope you enjoyed reading and reviewing, and please check out appendix for how all charts and values were calculated!\n","metadata":{},"attachments":{"5f470e2c-192b-489f-95a2-f3d2ef68d46c.png":{"image/png":"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"}}},{"cell_type":"markdown","source":"# Appendix","metadata":{}},{"cell_type":"code","source":"import pandas as pd\nimport numpy as np\nimport os\nimport seaborn as sns\nfrom ipywidgets import interact, fixed\nfrom sklearn.metrics import r2_score\nfrom scipy.stats import pearsonr\nimport math\nimport seaborn as sns\nimport re\n\n%matplotlib inline\nimport matplotlib.pyplot as plt\nimport matplotlib.patches as patches\nfrom matplotlib import animation\nfrom matplotlib.animation import FFMpegWriter\n# pd.set_option('max_columns', 100)\n\nimport dateutil\nfrom math import radians\nfrom IPython.display import Video\n\nimport warnings\nwarnings.filterwarnings('ignore')\n\nimport os\nfor dirname, _, filenames in os.walk('/kaggle/input'):\n    for filename in filenames:\n        print(os.path.join(dirname, filename))","metadata":{"_uuid":"8f2839f25d086af736a60e9eeb907d3b93b6e0e5","_cell_guid":"b1076dfc-b9ad-4769-8c92-a6c4dae69d19","execution":{"iopub.status.busy":"2022-01-11T02:36:01.025939Z","iopub.execute_input":"2022-01-11T02:36:01.026629Z","iopub.status.idle":"2022-01-11T02:36:02.169895Z","shell.execute_reply.started":"2022-01-11T02:36:01.026582Z","shell.execute_reply":"2022-01-11T02:36:02.168967Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"### Helper Functions ###\n\n# i:\n    # trackingData || player-tracking-level data \n    # playData || play-level data \n    # gameData || game-level data\n    # verbose || if we want to see processing status\n    # allFeatures || if we want all feautres, not just the ones generated in this NB\n# o:\n    # puntPlayPd || player-level data with features mentioned in Notebook markdown\ndef generatePuntFeatures(trackingData, playData, gameData, verbose=True, allFeatures=False):\n    # Filter down to punt plays\n    if verbose:\n        print(\"Filtering down to punt plays...\")\n        \n    puntPlays = playData[playData.specialTeamsPlayType == 'Punt'][['gameId','playId']] \\\n                 .merge(trackingData, on=['gameId','playId'])\n\n    # Filter down to first frame, since \n    # we can define punt positions on coordinates at first frame\n    puntPlays = puntPlays[puntPlays.frameId==1]\n    \n    if verbose:\n        print(f\"{len(puntPlays[['gameId','playId']].drop_duplicates()):,} punt plays to process...\")\n        \n    #############################\n    ## Define Helper Features  ##\n    ############################\n    \n    if verbose:\n        print(\"Building Helper Features...\")\n    \n    # Join gameData (home Abbr) to playData (possession team), make poss_team column (home/away), then\n    # Join to trackingData (team) and make isOffense column\n    # Also create the losX column\n    gameData = gameData[['gameId','homeTeamAbbr']]\n    gamePlay = gameData.merge(playData, on=['gameId']) \\\n                         .rename(columns={'absoluteYardlineNumber':'losX'})\n    gamePlay['isPossessionHome'] = gamePlay.possessionTeam == gamePlay.homeTeamAbbr\n    gamePlay = gamePlay[['gameId','playId','isPossessionHome','losX']]\n    \n    puntPlays = puntPlays.merge(gamePlay, on=['gameId','playId'])\n    puntPlays['isOffense'] = (puntPlays.team == 'home') == (puntPlays.isPossessionHome)\n    puntPlays.loc[puntPlays.team=='football', 'isOffense'] = np.nan\n    \n    #############################\n    ### Define Punt Positions ###\n    ############################\n    \n    if verbose:\n        print(\"Building Punt Position Features 1/2 (P,G,J,PR)...\")\n    \n    # Note: using the isOffense filter on all punt position definitions\n    # is intentional because it makes clearer what the assumptions \n    # are for defining each position\n    \n    # Note: The thresholds of >40 | <17 were unscientific and came\n    # from me visualizing a bunch of plays and seeing where the \n    # gunner/jammers lined up. Leave a comment if there is a better threshold!\n    \n    puntPlays['puntPosition'] = np.nan\n    puntPlays['puntPositionSpecific'] = np.nan\n\n    # Punter is easy, based on position \n    puntPlays.loc[puntPlays.position== \"P\", \"puntPosition\"] = 'P'\n\n    # Gunner is any OFF players near the sidelines \n    # Defining ABSOLUTELY because some punts do not have this position\n    puntPlays.loc[((puntPlays.y>40) | (puntPlays.y<17)) & \\\n                    (puntPlays.isOffense == True),\"puntPosition\"] = 'G'\n    \n    puntPlays.loc[(puntPlays.y>40) & (puntPlays.puntPosition=='G'),\"puntPositionSpecific\"] = 'topG'\n    puntPlays.loc[(puntPlays.y<17) & (puntPlays.puntPosition=='G'),\"puntPositionSpecific\"] = 'botG'\n\n    # Jammer is any DEF players near the sidelines\n    # Defining ABSOLUTELY because some punts do not have this position\n    puntPlays.loc[((puntPlays.y>40) | (puntPlays.y<17)) & \\\n                    (puntPlays.isOffense == False),\"puntPosition\"] = 'J'\n    \n    puntPlays.loc[(puntPlays.y>40) & (puntPlays.puntPosition=='J'),\"puntPositionSpecific\"] = 'topJ'\n    puntPlays.loc[(puntPlays.y<17) & (puntPlays.puntPosition=='J'),\"puntPositionSpecific\"] = 'botJ'\n\n    # Returner is DEF player at least 20yrds from LOS\n    # Defining ABSOLUTELY because some punts do not have this position\n    puntPlays.loc[(np.abs(puntPlays.x-puntPlays.losX)>20)&(puntPlays.isOffense == False), \"puntPosition\"] = 'PR'\n    \n    if verbose:\n        print(\"Building Punt Position Features 2/2 (W,PP,OL,DL)...\")\n\n    # Wings + PP are defined by relation to other linemen, so need to find edges + back of line\n    oLineData = puntPlays[(puntPlays.isOffense==True)&(pd.isna(puntPlays.puntPosition))] \\\n                        .groupby(['gameId','playId']).agg({\"y\":[\"min\",\"max\"],\"x\":[\"min\",\"max\"]})\n\n    oLineData['olineMinY'] = oLineData.loc[:,pd.IndexSlice[\"y\",'min']]\n    oLineData['olineMaxY'] = oLineData.loc[:,pd.IndexSlice[\"y\",'max']]\n    oLineData['olineMinX'] = oLineData.loc[:,pd.IndexSlice[\"x\",'min']]\n    oLineData['olineMaxX'] = oLineData.loc[:,pd.IndexSlice[\"x\",'max']]\n    oLineData.columns = oLineData.columns.droplevel(1)\n    oLineData = oLineData.reset_index()[['gameId','playId','olineMinY','olineMaxY','olineMinX','olineMaxX']]\n    \n    puntPlays = puntPlays.merge(oLineData, on=['gameId','playId'])\n    \n    # Personal Protector is the OFF player who is furthest back from LOS other than the punter\n    # (They usually line up 3-5yrds off the line, but this heuristic did not hold when I spot checked plays)\n    # @Football players I also assumed all punts have a PP\n    puntPlays.loc[(puntPlays.isOffense==True)&\\\n                ((puntPlays.x==puntPlays.olineMaxX)&(puntPlays.playDirection=='left')), \"puntPosition\"] = \"PP\"\n    puntPlays.loc[(puntPlays.isOffense==True)&\\\n                ((puntPlays.x==puntPlays.olineMinX)&(puntPlays.playDirection=='right')), \"puntPosition\"] = \"PP\"\n    \n    # Wings are the players on the edges of the OLine\n    # (They usually line up 1-2yrds off the line, but this heuristic did not hold when I spot checked plays)\n    \n    puntPlays.loc[(pd.isna(puntPlays.puntPosition))&\\\n                 ((np.abs(puntPlays.y-puntPlays.olineMaxY)<0.25)|((np.abs(puntPlays.y-puntPlays.olineMinY)<0.25)))&\\\n                 (np.abs(puntPlays.x-puntPlays.losX)>2), \"puntPosition\"] = \"W\"\n\n\n    # Lineman are anyone who doesn't have a specified role in punt formation\n    puntPlays.loc[(pd.isna(puntPlays.puntPosition))&\\\n                    (puntPlays.isOffense == True), \"puntPosition\"] = 'OL'\n    puntPlays.loc[(pd.isna(puntPlays.puntPosition))&\\\n                    (puntPlays.isOffense == False), \"puntPosition\"] = 'DL'\n\n    puntPlays.loc[(puntPlays.team == \"football\"), \"puntPosition\"] = \"football\"\n    \n    if verbose:\n        print(\"done!\")\n        \n    if allFeatures:\n        return(puntPlays)\n    else: \n        return(puntPlays[['gameId','playId','nflId','isOffense','losX','puntPosition','puntPositionSpecific']])\n    \ndef create_football_field(linenumbers=True,\n                          endzones=True,\n                          highlight_line=False,\n                          highlight_line_number=55,\n                          highlight_first_down_line=False,\n                          yards_to_go=10,\n                          highlighted_name='Line of Scrimmage',\n                          fifty_is_los=False,\n                          figsize=(12, 6.33)):\n    \"\"\"\n    Function that plots the football field for viewing plays.\n    Allows for showing or hiding endzones.\n    \"\"\"\n    rect = patches.Rectangle((0, 0), 120, 53.3, linewidth=0.1,\n                             edgecolor='r', facecolor='darkgreen', zorder=0)\n\n    fig, ax = plt.subplots(1, figsize=figsize)\n    ax.add_patch(rect)\n\n    plt.plot([10, 10, 10, 20, 20, 30, 30, 40, 40, 50, 50, 60, 60, 70, 70, 80,\n              80, 90, 90, 100, 100, 110, 110, 120, 0, 0, 120, 120],\n             [0, 0, 53.3, 53.3, 0, 0, 53.3, 53.3, 0, 0, 53.3, 53.3, 0, 0, 53.3,\n              53.3, 0, 0, 53.3, 53.3, 0, 0, 53.3, 53.3, 53.3, 0, 0, 53.3],\n             color='white')\n    if fifty_is_los:\n        plt.plot([60, 60], [0, 53.3], color='gold')\n        plt.text(62, 50, '<- Player Yardline at Snap', color='gold')\n    # Endzones\n    if endzones:\n        ez1 = patches.Rectangle((0, 0), 10, 53.3,\n                                linewidth=0.1,\n                                edgecolor='r',\n                                facecolor='blue',\n                                alpha=0.2,\n                                zorder=0)\n        ez2 = patches.Rectangle((110, 0), 120, 53.3,\n                                linewidth=0.1,\n                                edgecolor='r',\n                                facecolor='blue',\n                                alpha=0.2,\n                                zorder=0)\n        ax.add_patch(ez1)\n        ax.add_patch(ez2)\n    plt.xlim(0, 120)\n    plt.ylim(-5, 58.3)\n    plt.axis('off')\n    if linenumbers:\n        for x in range(20, 110, 10):\n            numb = x\n            if x > 50:\n                numb = 120 - x\n            plt.text(x, 5, str(numb - 10),\n                     horizontalalignment='center',\n                     fontsize=20,  # fontname='Arial',\n                     color='white')\n            plt.text(x - 0.95, 53.3 - 5, str(numb - 10),\n                     horizontalalignment='center',\n                     fontsize=20,  # fontname='Arial',\n                     color='white', rotation=180)\n    if endzones:\n        hash_range = range(11, 110)\n    else:\n        hash_range = range(1, 120)\n\n    for x in hash_range:\n        ax.plot([x, x], [0.4, 0.7], color='white')\n        ax.plot([x, x], [53.0, 52.5], color='white')\n        ax.plot([x, x], [22.91, 23.57], color='white')\n        ax.plot([x, x], [29.73, 30.39], color='white')\n\n    if highlight_line:\n        hl = highlight_line_number + 10\n        plt.plot([hl, hl], [0, 53.3], color='yellow')\n        #plt.text(hl + 2, 50, '<- {}'.format(highlighted_name),\n        #         color='yellow')\n        \n    if highlight_first_down_line:\n        fl = hl + yards_to_go\n        plt.plot([fl, fl], [0, 53.3], color='yellow')\n        #plt.text(fl + 2, 50, '<- {}'.format(highlighted_name),\n        #         color='yellow')\n    return fig, ax\n\n# Implementation of Shoelace formula https://en.wikipedia.org/wiki/Shoelace_formula\ndef PolyArea(x,y):\n    return(0.5*np.abs(np.dot(x,np.roll(y,1))-np.dot(y,np.roll(x,1))))\n\ndef PolyFunc(row):\n    row['displacement'] = PolyArea(row.x, row.y)\n    return row","metadata":{"execution":{"iopub.status.busy":"2022-01-11T02:36:02.172248Z","iopub.execute_input":"2022-01-11T02:36:02.172585Z","iopub.status.idle":"2022-01-11T02:36:02.22286Z","shell.execute_reply.started":"2022-01-11T02:36:02.172541Z","shell.execute_reply":"2022-01-11T02:36:02.221993Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"play_data = pd.read_csv('/kaggle/input/nfl-big-data-bowl-2022/plays.csv')\ngame_data = pd.read_csv(\"/kaggle/input/nfl-big-data-bowl-2022/games.csv\")[['gameId','homeTeamAbbr']]\npff = pd.read_csv(\"/kaggle/input/nfl-big-data-bowl-2022/PFFScoutingData.csv\")\n\nx = play_data[play_data.specialTeamsPlayType=='Punt'].merge(pff,on=['gameId','playId'])\nx['blocked'] = (x.specialTeamsResult=='Blocked Punt').astype(int)*100\nx['punt_correct_direction'] =( x.kickDirectionIntended == x.kickDirectionActual).astype(int)\nx['return_impact'] = x.playResult\n\nnum_rush = []\nfor i in x.puntRushers.values:\n    if type(i) == float:\n        num_rush.append(0)\n    else:\n        num = len(i.split(';'))\n        if num >= 8:\n            num = 8        \n        num_rush.append(num)\nx['num_rushers'] = num_rush\n\nnum_vice = []\nfor i in x.vises.values:\n    if type(i) == float:\n        num_vice.append(0)\n    else:\n        num = len(i.split(';'))     \n        num_vice.append(num)\nx['num_vices'] = num_vice\n\nnum_gun = []\nfor i in x.gunners.values:\n    if type(i) == float:\n        num_gun.append(0)\n    else:\n        num = len(i.split(';'))\n        num_gun.append(num)\nx['num_gunners'] = num_gun\nx['gunner_situation'] = 'Equal'\nx.loc[x.num_gunners>x.num_vices, 'gunner_situation'] = 'More Gunners'\nx.loc[x.num_gunners<x.num_vices, 'gunner_situation'] = 'More Jammers'\n\npff_sitch = x[['gameId','playId','blocked','kickDirectionIntended',\n               'kickDirectionActual','punt_correct_direction',\n               'return_impact','num_rushers','num_vices','num_gunners',\n              'gunner_situation']]","metadata":{"execution":{"iopub.status.busy":"2022-01-11T02:36:02.224025Z","iopub.execute_input":"2022-01-11T02:36:02.22431Z","iopub.status.idle":"2022-01-11T02:36:02.664403Z","shell.execute_reply.started":"2022-01-11T02:36:02.224281Z","shell.execute_reply":"2022-01-11T02:36:02.663579Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"play_data = pd.read_csv('/kaggle/input/nfl-big-data-bowl-2022/plays.csv')\n\nfor year in [\"2018\",\"2019\",\"2020\"]:\n    tracking_data = pd.read_csv(f\"/kaggle/input/nfl-big-data-bowl-2022/tracking{year}.csv\")\n\n    punts_pd = generatePuntFeatures(tracking_data,play_data,game_data)\\\n                .merge(tracking_data,on=['gameId','playId','nflId'])\n\n    \n    js = punts_pd[punts_pd.puntPosition=='J']\\\n    [[\"gameId\",\"playId\",\"nflId\",\"puntPositionSpecific\"]].drop_duplicates() \\\n    .groupby([\"gameId\",\"playId\",\"puntPositionSpecific\"])[['nflId']].count() \\\n    .reset_index()\n\n    good_bot = js[(js.puntPositionSpecific=='botJ')&(js.nflId==1)][['gameId','playId']]\n    good_bot['puntPositionSpecific'] = 'botG'\n\n    good_top = js[(js.puntPositionSpecific=='topJ')&(js.nflId==1)][['gameId','playId']]\n    good_top['puntPositionSpecific'] = 'topG'\n\n    good_both = pff_sitch[pff_sitch.gunner_situation=='Equal'][['gameId','playId']]\n    \n    print(\"Calculating Convergence...\")\n    gun_pd = punts_pd[punts_pd.puntPosition=='G']\n    \n    gun_pd = pd.concat([\n        gun_pd.merge(good_bot,on=['gameId','playId','puntPositionSpecific']),\n        gun_pd.merge(good_top,on=['gameId','playId','puntPositionSpecific']),\n        gun_pd.merge(good_both,on=['gameId','playId'])\n    ])\n    \n    catch_pd = punts_pd[punts_pd.event.isin([\"fair_catch\",\"punt_received\",\"punt_muffed\"])]\n\n\n    pr = catch_pd[catch_pd.puntPosition == 'PR']\\\n                .rename(columns={\"x\":\"pr_x\",\"y\":\"pr_y\",\"frameId\":\"catchFrame\",'o':'pr_o'})\\\n                [['gameId','playId','pr_x','pr_y','pr_o','catchFrame']]\n    \n    gun = catch_pd[catch_pd.puntPosition == 'G']\\\n                .rename(columns={\"x\":\"g_x\",\"y\":\"g_y\",\"s\":\"g_s\",'o':'g_o'})\\\n                [['gameId','playId','nflId','displayName','g_x','g_y',\"g_s\",'g_o']]\n\n    snap = gun_pd[gun_pd.event=='ball_snap'][['gameId','playId','nflId','x','y','frameId']] \\\n                    .rename(columns={\"x\":\"snap_x\",\"y\":\"snap_y\",\"frameId\":\"snapFrame\"})\n\n    d_catch = gun.merge(pr,on=['gameId','playId'],how='left') \\\n                 .merge(snap,on=['gameId','playId','nflId'])\n    d_catch['convergence'] = np.sqrt((d_catch.g_x-d_catch.pr_x)**2+\\\n                                    (d_catch.g_y-d_catch.pr_y)**2)\n\n    print(\"Calculating Displacement...\")\n    gun_pd = gun_pd.merge(d_catch,on=['gameId','playId','nflId'])\n\n    gun_pd = gun_pd[(gun_pd.frameId<=gun_pd.catchFrame)&(gun_pd.frameId>=gun_pd.snapFrame)]\n\n    # Calculate Displacement for all gunners\n    gplays = gun_pd[['gameId','playId','nflId']].drop_duplicates().values\n\n    g = gun_pd.groupby(['gameId','playId','nflId']) \\\n            .agg({'frameId':lambda x: list(x),'x':lambda x: list(x),'y':lambda x: list(x)}) \\\n            .reset_index() \\\n            .merge(d_catch,on=['gameId','playId','nflId'])\n\n    # Append previous X\n    # Fit a straight line from snap to catch X/Y\n    # Plug in X and find new Y\n    # PolyArea\n    for i in range(len(g)):\n        actual_x = g.x.values[i]\n        actual_y = g.y.values[i]\n\n        start_x = actual_x[0]\n        start_y = actual_y[0]\n\n        pr_x = g.pr_x.values[i]\n        pr_y = g.pr_y.values[i]\n\n        m, b = np.polyfit([start_x,pr_x],[start_y,pr_y],1)\n\n        opt_x = actual_x[-1]\n        opt_y = m*opt_x+b\n\n        g.x.values[i].append(opt_x)\n        g.y.values[i].append(opt_y)\n\n    g = g.apply(PolyFunc,axis=1)\n\n    print(\"Saving to CSV.\")\n    g.to_csv(f\"g_data{year}.csv\")","metadata":{"execution":{"iopub.status.busy":"2022-01-11T02:36:02.666815Z","iopub.execute_input":"2022-01-11T02:36:02.667304Z","iopub.status.idle":"2022-01-11T02:39:59.445432Z","shell.execute_reply.started":"2022-01-11T02:36:02.667259Z","shell.execute_reply":"2022-01-11T02:39:59.444364Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"g = pd.concat([\n    pd.read_csv(\"./g_data2020.csv\"),\n    pd.read_csv(\"./g_data2019.csv\"),\n    pd.read_csv(\"./g_data2018.csv\")\n])\ng[['gameId','playId','nflId','displayName','displacement']]","metadata":{"execution":{"iopub.status.busy":"2022-01-11T02:57:15.500348Z","iopub.execute_input":"2022-01-11T02:57:15.500719Z","iopub.status.idle":"2022-01-11T02:57:15.922566Z","shell.execute_reply.started":"2022-01-11T02:57:15.500684Z","shell.execute_reply":"2022-01-11T02:57:15.921721Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"g = pd.concat([\n    pd.read_csv(\"./g_data2020.csv\"),\n    pd.read_csv(\"./g_data2019.csv\"),\n    pd.read_csv(\"./g_data2018.csv\")\n])\n\ng = g.merge(play_data[['gameId','playId','playResult','kickLength','specialTeamsResult','playResult','kickReturnYardage']],\n           on=['gameId','playId'])\n\ng[\"return_5\"] = 5 * round(g.kickReturnYardage/5)\n\ng.loc[g.specialTeamsResult == 'Fair Catch','kickReturnYardage'] = 0\ng.loc[(g.specialTeamsResult == 'Muffed')&(pd.isna(g.kickReturnYardage)),'kickReturnYardage'] = 0\n\ng = g[~pd.isna(g.kickReturnYardage)]\n\ng = g[~g.displayName.isin(['Blake Countess','Jaylen Watkins','Kevin Toliver'])]\n\ng2 = g.groupby('nflId').agg({\"playId\":\"count\",\"displayName\":\"max\",\"convergence\":\"median\",\"displacement\":\"median\"}) \\\n      .reset_index()\n\ng2 = g2[g2.playId >=5]\ng2[['nflId','playId','displayName','displacement']].sort_values('displacement')","metadata":{"execution":{"iopub.status.busy":"2022-01-11T03:07:14.861868Z","iopub.execute_input":"2022-01-11T03:07:14.862156Z","iopub.status.idle":"2022-01-11T03:07:15.331285Z","shell.execute_reply.started":"2022-01-11T03:07:14.862123Z","shell.execute_reply":"2022-01-11T03:07:15.330464Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"ggroup = g.groupby(['gameId','playId'])[['displacement','convergence']].min()\\\n          .reset_index() \\\n          .merge(g[['gameId','playId','kickReturnYardage','specialTeamsResult']],on=['gameId','playId'])\n\nx = ggroup.convergence\ny = ggroup.kickReturnYardage\nm, b = np.polyfit(x, y, 1)\n\nr, pval = pearsonr(x,y)\n\nr2 = r2_score(y,m*x + b)\n\nggroup[\"d_1\"] = round(ggroup[\"convergence\"])\nceil = 30\nggroup.loc[ggroup.d_1>ceil,\"d_1\"] = 30\n\navg_1 = ggroup.groupby(\"d_1\")[[\"kickReturnYardage\"]].mean()\n\nplt.figure(figsize=[10,8])\nplt.bar(avg_1.index,avg_1.kickReturnYardage)\nplt.title(f\"Gunner Distance from PR at catch vs. Avg. Return Yards\\nPearsons: {r:.2f}\")\nplt.ylabel(\"Avg. Return Yards\")\nplt.xlabel(\"Gunner Distance (Yards, rounded)\")\nplt.plot([0,ceil], [b,m*ceil+b], color='orange')\nplt.axhline(ggroup.kickReturnYardage.mean(),color='grey',linestyle=\"--\")\nplt.axvline(ggroup[\"convergence\"].mean(),color='grey',linestyle=\"--\")\nplt.gca().spines['top'].set_visible(False)\nplt.gca().spines['right'].set_visible(False)\nplt.text(-1,4,\"avg.\")\nplt.text(6.25,16,\"avg.\")\nplt.show()","metadata":{"execution":{"iopub.status.busy":"2022-01-11T02:40:00.343202Z","iopub.execute_input":"2022-01-11T02:40:00.343537Z","iopub.status.idle":"2022-01-11T02:40:00.725247Z","shell.execute_reply.started":"2022-01-11T02:40:00.343479Z","shell.execute_reply":"2022-01-11T02:40:00.724266Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"ggroup = g.groupby(['gameId','playId'])[['displacement','convergence']].min()\\\n          .reset_index() \\\n          .merge(g[['gameId','playId','kickReturnYardage','specialTeamsResult']],on=['gameId','playId'])\n\nggroup['return'] = (ggroup.specialTeamsResult == 'Return').astype(int)\n\nx = ggroup.convergence\ny = ggroup['return']\nm, b = np.polyfit(x, y, 1)\n\nr2 = r2_score(y,m*x + b)\n\nr, pval = pearsonr(x,y)\n\n\n# ggroup['disp_25'] = 25 * round(ggroup.displacement/25)\nggroup['d_1'] = round(ggroup.convergence)\n\nceil = 20\nggroup.loc[ggroup.d_1>ceil,\"d_1\"] = 20\n\navg_1 = ggroup.groupby(\"d_1\")[[\"return\"]].mean()\n\nplt.figure(figsize=[10,8])\nplt.bar(avg_1.index,avg_1['return']*100)\nplt.title(f\"Gunner Distance vs. Punt Returnability\\nPearsons: {r:.2f}\")\nplt.ylabel(\"% of Punts Returned\")\nplt.xlabel(\"Gunner Distance (Yards, rounded)\")\nplt.plot([0,ceil], [100*b,100*(m*ceil+b)], color='orange')\nplt.axhline(100*ggroup['return'].mean(),color='grey',linestyle=\"--\")\nplt.axvline(ggroup[\"d_1\"].mean(),color='grey',linestyle=\"--\")\nplt.gca().spines['top'].set_visible(False)\nplt.gca().spines['right'].set_visible(False)\nplt.text(1,45,\"avg.\")\nplt.text(6.25,100,\"avg.\")\nplt.show()","metadata":{"execution":{"iopub.status.busy":"2022-01-11T02:40:00.726645Z","iopub.execute_input":"2022-01-11T02:40:00.72693Z","iopub.status.idle":"2022-01-11T02:40:01.038153Z","shell.execute_reply.started":"2022-01-11T02:40:00.72689Z","shell.execute_reply":"2022-01-11T02:40:01.037354Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"test = punts_pd[(punts_pd.gameId==2020091000)&(punts_pd.playId==1039)&(punts_pd.nflId==46312.0)]\nsnap_frame = test[test.event=='ball_snap'][['gameId','playId','x','y','frameId']]\ncatch_frames = punts_pd[(punts_pd.puntPosition=='PR')&(punts_pd.event.isin([\"fair_catch\",\"punt_received\",\"punt_muffed\"]))] \\\n                [['gameId','playId','x','y','frameId']] \\\n                .rename(columns={\"x\":\"pr_x\",\"y\":\"pr_y\",\"frameId\":\"prFrame\"})\nt_frame = snap_frame.merge(catch_frames, on=['gameId','playId'])\n\nstart = t_frame.frameId.values[0]\nend =  t_frame.prFrame.values[0]\nopt_x = np.linspace(t_frame.x.values[0],t_frame.pr_x.values[0],end-start)\nopt_y = np.linspace(t_frame.y.values[0],t_frame.pr_y.values[0],end-start)\n\ndis = test[(test.frameId>=start)&(test.frameId<=end)].sort_values(\"frameId\")\n\nsnap_to_catch = punts_pd[punts_pd.event=='ball_snap'] \\\n                 [['gameId','playId','time']].drop_duplicates() \\\n                .merge(punts_pd[punts_pd.event.isin([\"fair_catch\",\"punt_received\",\"punt_muffed\",\"punt_land\"])] \\\n                 [['gameId','playId','time']].drop_duplicates(),\n                      on=['gameId','playId'])\\\n                .merge(punts_pd[punts_pd.event.isin([\"punt\"])] \\\n                 [['gameId','playId','time']].drop_duplicates(),\n                      on=['gameId','playId'])\nsnap_to_catch['total_sec'] = (pd.to_datetime(snap_to_catch.time_y)-pd.to_datetime(snap_to_catch.time_x)).dt.total_seconds()\nsnap_to_catch['punt_sec'] = (pd.to_datetime(snap_to_catch.time_y)-pd.to_datetime(snap_to_catch.time)).dt.total_seconds()\nsnap_to_catch = snap_to_catch[['gameId','playId','total_sec','punt_sec']]\n\nm, b = np.polyfit(opt_x,opt_y,1)\n\nclose_x = dis.x.values[-1]\nclose_y = m*close_x+b\n\npoly_x = list(dis.x.values)\npoly_x.append(close_x)\n\npoly_y = list(dis.y.values)\npoly_y.append(close_y)\n\np = PolyArea(poly_x, poly_y)\n\ncreate_football_field(highlight_line=False,highlight_line_number=dis.losX.values[0])\nplt.plot(opt_x,opt_y,linestyle='--',color='grey',linewidth=3, label='optimal')\nplt.plot(dis.x.values,dis.y.values,color='orange',linewidth=3, label='actual')\nplt.plot([poly_x[-1],poly_x[-1]], [dis.y.values[-1],poly_y[-1]], linewidth=3, linestyle='--',color='orange')\nplt.fill(poly_x, poly_y,'lightgrey',label='Displacement Area')\nplt.scatter(dis.x.values[0],dis.y.values[0],color='orange',s=200)\nplt.text(dis.x.values[0],dis.y.values[0]-0.5,dis.puntPosition.values[0],fontweight='bold',ha='center')\nplt.title(f\"{test.displayName.values[0]}'s Punt Cover Path\\nDisplacement: {p:.2f}\")\nplt.legend(loc='center right')\nplt.show()","metadata":{"execution":{"iopub.status.busy":"2022-01-11T02:40:01.039799Z","iopub.execute_input":"2022-01-11T02:40:01.040099Z","iopub.status.idle":"2022-01-11T02:40:03.821726Z","shell.execute_reply.started":"2022-01-11T02:40:01.040058Z","shell.execute_reply":"2022-01-11T02:40:03.820754Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"ggroup['disp_25'] = 25 * round(ggroup.displacement/25)\nceil = 400\nggroup.loc[ggroup.disp_25>ceil,\"disp_25\"] = 400\n\npi = ggroup.groupby(['d_1','disp_25']).agg({\n    'playId':'count','kickReturnYardage':'mean','return':'mean'})\npi.loc[pi.kickReturnYardage>25,\"kickReturnYardage\"] = 25\npi = pi[pi.playId>5].drop(\"playId\",axis=1)\nplt.figure(figsize=[10,8])\nsns.heatmap(pi.reset_index().pivot('d_1','disp_25','kickReturnYardage'), cmap=\"YlGnBu\")\nplt.title(\"Heatmap of Distance vs. Displacement\")\nplt.ylabel(\"Distance\")\nplt.xlabel(\"Displacement\")\nplt.show()","metadata":{"execution":{"iopub.status.busy":"2022-01-11T02:40:03.825165Z","iopub.execute_input":"2022-01-11T02:40:03.825481Z","iopub.status.idle":"2022-01-11T02:40:04.322055Z","shell.execute_reply.started":"2022-01-11T02:40:03.825439Z","shell.execute_reply":"2022-01-11T02:40:04.321068Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"import plotly.graph_objects as go\n\ny = g2.displacement/50\n\ntrace1 = go.Scatter(x=g2.convergence, \n                    y=y, \n                    text=g2.displayName+'<br>'+'Plays: '+ \\\n                         g2.playId.astype(str)+'<br>'+ 'Convergence: '+\\\n                            np.round(g2.convergence,2).astype(str)+ \\\n                            'yrds<br>'+ 'Displacement: '+\\\n                            np.round(g2.displacement).astype(int).astype(str)+'yrds',\n                    hoverinfo='text',\n                    mode ='markers')\n\nlayout = go.Layout(\n                title='OL Efficiency',\n                paper_bgcolor='rgba(0,0,0,0)',\n                plot_bgcolor='rgba(0,0,0,0)',\n                xaxis = dict(title = 'Convergence'),\n                yaxis = dict(title = 'Displacement /50'),\n)\n\nfig = go.Figure(layout=layout)\nfig.add_trace(trace1)\n\nfig.update_layout(shapes=[\n    dict(\n      type= 'line',\n      line=dict(\n        color=\"gray\",\n        width=1,\n        dash=\"dot\",\n        ),\n      yref= 'y', y0= y.median(), y1= y.median(),\n      xref= 'paper', x0= 0, x1= 100\n    ),\n  dict(\n      type= 'line',\n      line=dict(\n        color=\"gray\",\n        width=1,\n        dash=\"dot\",\n        ),\n      yref= 'paper', y0= 0, y1= 1,\n      xref= 'x', x0= g2.convergence.mean(), x1= g2.convergence.mean()\n    )\n    \n])\n\nfig.add_annotation(\n            xref=\"x\",\n            yref=\"y\",\n            x=3, y=0,\n            text=\"<b>Elite & Efficienct</b>\",\n            showarrow=False)\n\nfig.add_annotation(\n            xref=\"x\",\n            yref=\"y\",\n            x=17, y=0,\n            text=\"<b>Blockable, Slow</b>\",\n            showarrow=False)\n\nfig.add_annotation(\n            xref=\"x\",\n            yref=\"y\",\n            x=3, y=16,\n            text=\"<b>Work Horse</b>\",\n            showarrow=False)\n\nfig.add_annotation(\n            xref=\"x\",\n            yref=\"y\",\n            x=17, y=16,\n            text=\"<b>Inefficient</b>\",\n            showarrow=False)\nfig.show()","metadata":{"execution":{"iopub.status.busy":"2022-01-11T02:40:04.323386Z","iopub.execute_input":"2022-01-11T02:40:04.323651Z","iopub.status.idle":"2022-01-11T02:40:04.540296Z","shell.execute_reply.started":"2022-01-11T02:40:04.323621Z","shell.execute_reply":"2022-01-11T02:40:04.539424Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"# Calculate Optimal coef wih Linear Reg\nfrom sklearn.linear_model import LinearRegression\nfrom sklearn.model_selection import train_test_split\n\nX = ggroup[['convergence','displacement']].values\ny = ggroup[['kickReturnYardage']].values\nX_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.1, random_state=42)\nreg = LinearRegression().fit(X_train, y_train)\nprint(reg.score(X_test, y_test))\nprint(f\"Covergence Coef:{reg.coef_[0][0]}\\nDisplacement Coef:{reg.coef_[0][1]}\")","metadata":{"execution":{"iopub.status.busy":"2022-01-11T02:40:04.54158Z","iopub.execute_input":"2022-01-11T02:40:04.541854Z","iopub.status.idle":"2022-01-11T02:40:04.642895Z","shell.execute_reply.started":"2022-01-11T02:40:04.541821Z","shell.execute_reply":"2022-01-11T02:40:04.64196Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"shift = 20\nggroup['CoverageEfficiency'] = shift-(ggroup.displacement*.0013234013819606622+ggroup.convergence*.5305376590284169)\n\nx = ggroup.CoverageEfficiency\ny = ggroup.kickReturnYardage\nm, b = np.polyfit(x, y, 1)\n\nr2 = r2_score(y,m*x + b)\n\nr, pval = pearsonr(x,y)\n\n\nggroup['eff_1'] = round(x)\n# ggroup.loc[ggroup.eff_1>shift,\"eff_1\"] = 20\n\navg_1 = ggroup.groupby(\"eff_1\")[[\"kickReturnYardage\"]].mean()\n\nplt.bar(avg_1.index,avg_1.kickReturnYardage)\nplt.title(f\"Gunner Efficiency vs. Avg. Return Yards\\nPearsons: {r:.2f}\")\nplt.ylabel(\"Avg. Return Yards\")\nplt.xlabel(\"Gunner Efficiency\")\nplt.plot([min(avg_1.index),shift], [m*min(avg_1.index)+b,m*shift+b], color='orange')\nplt.axhline(ggroup.kickReturnYardage.mean(),color='grey',linestyle=\"--\")\nplt.axvline(x.mean(),color='grey',linestyle=\"--\")\nplt.show()","metadata":{"execution":{"iopub.status.busy":"2022-01-11T02:40:04.644082Z","iopub.execute_input":"2022-01-11T02:40:04.644434Z","iopub.status.idle":"2022-01-11T02:40:04.933452Z","shell.execute_reply.started":"2022-01-11T02:40:04.644402Z","shell.execute_reply":"2022-01-11T02:40:04.932479Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"g['CoverageEfficiency'] = g.displacement*.0013234013819606622+g.convergence*.5305376590284169\n\ntopG = g.groupby('nflId').agg({\"displayName\":\"max\",\"playId\":\"count\",\"CoverageEfficiency\":\"mean\"}) \\\n                  .sort_values(\"CoverageEfficiency\")\ntopG = topG[topG.playId>10]\ntopG.head(15)","metadata":{"execution":{"iopub.status.busy":"2022-01-11T02:40:04.935051Z","iopub.execute_input":"2022-01-11T02:40:04.93527Z","iopub.status.idle":"2022-01-11T02:40:05.008946Z","shell.execute_reply.started":"2022-01-11T02:40:04.935242Z","shell.execute_reply":"2022-01-11T02:40:05.008012Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"for year in [\"2018\",\"2019\",\"2020\"]:\n    tracking_data20 = pd.read_csv(f\"/kaggle/input/nfl-big-data-bowl-2022/tracking{year}.csv\")\n\n    punts_pd = generatePuntFeatures(tracking_data20,play_data,game_data)\\\n                .merge(tracking_data20,on=['gameId','playId','nflId'])\n\n    js = punts_pd[punts_pd.puntPosition=='J']\\\n    [[\"gameId\",\"playId\",\"nflId\",\"puntPositionSpecific\"]].drop_duplicates() \\\n    .groupby([\"gameId\",\"playId\",\"puntPositionSpecific\"])[['nflId']].count() \\\n    .reset_index()\n    \n    good_bot = js[(js.puntPositionSpecific=='botJ')&(js.nflId>1)][['gameId','playId']]\n    good_bot['puntPositionSpecific'] = 'botG'\n\n    good_top = js[(js.puntPositionSpecific=='topJ')&(js.nflId>1)][['gameId','playId']]\n    good_top['puntPositionSpecific'] = 'topG'\n    \n    print(\"Calculating Convergence...\")\n    gun_pd = punts_pd[punts_pd.puntPosition=='G']\n    \n    gun_pd = pd.concat([\n        gun_pd.merge(good_bot,on=['gameId','playId','puntPositionSpecific']),\n        gun_pd.merge(good_top,on=['gameId','playId','puntPositionSpecific']),\n    ])\n    \n    catch_pd = punts_pd[punts_pd.event.isin([\"fair_catch\",\"punt_received\",\"punt_muffed\"])]\n\n\n    pr = catch_pd[catch_pd.puntPosition == 'PR']\\\n                .rename(columns={\"x\":\"pr_x\",\"y\":\"pr_y\",\"frameId\":\"catchFrame\",'o':'pr_o'})\\\n                [['gameId','playId','pr_x','pr_y','pr_o','catchFrame']]\n    \n    gun = catch_pd[catch_pd.puntPosition == 'G']\\\n                .rename(columns={\"x\":\"g_x\",\"y\":\"g_y\",\"s\":\"g_s\",'o':'g_o'})\\\n                [['gameId','playId','nflId','displayName','g_x','g_y',\"g_s\",'g_o']]\n\n    snap = gun_pd[gun_pd.event=='ball_snap'][['gameId','playId','nflId','x','y','frameId']] \\\n                    .rename(columns={\"x\":\"snap_x\",\"y\":\"snap_y\",\"frameId\":\"snapFrame\"})\n\n    d_catch = gun.merge(pr,on=['gameId','playId'],how='left') \\\n                 .merge(snap,on=['gameId','playId','nflId'])\n    d_catch['convergence'] = np.sqrt((d_catch.g_x-d_catch.pr_x)**2+\\\n                                    (d_catch.g_y-d_catch.pr_y)**2)\n\n    print(\"Calculating Displacement...\")\n    gun_pd = gun_pd.merge(d_catch,on=['gameId','playId','nflId'])\n\n    gun_pd = gun_pd[(gun_pd.frameId<=gun_pd.catchFrame)&(gun_pd.frameId>=gun_pd.snapFrame)]\n\n    # Calculate Displacement for all gunners\n    gplays = gun_pd[['gameId','playId','nflId']].drop_duplicates().values\n\n    g = gun_pd.groupby(['gameId','playId','nflId']) \\\n            .agg({'frameId':lambda x: list(x),'x':lambda x: list(x),'y':lambda x: list(x)}) \\\n            .reset_index() \\\n            .merge(d_catch,on=['gameId','playId','nflId'])\n\n    # Append previous X\n    # Fit a straight line from snap to catch X/Y\n    # Plug in X and find new Y\n    # PolyArea\n    for i in range(len(g)):\n        actual_x = g.x.values[i]\n        actual_y = g.y.values[i]\n\n        start_x = actual_x[0]\n        start_y = actual_y[0]\n\n        pr_x = g.pr_x.values[i]\n        pr_y = g.pr_y.values[i]\n\n        m, b = np.polyfit([start_x,pr_x],[start_y,pr_y],1)\n\n        opt_x = actual_x[-1]\n        opt_y = m*opt_x+b\n\n        g.x.values[i].append(opt_x)\n        g.y.values[i].append(opt_y)\n\n    g = g.apply(PolyFunc,axis=1)\n\n    print(\"Saving to CSV.\")\n    g.to_csv(f\"g_data{year}_dub.csv\")\n\ng_dub = pd.concat([\n    pd.read_csv(\"./g_data2020_dub.csv\"),\n    pd.read_csv(\"./g_data2019_dub.csv\"),\n    pd.read_csv(\"./g_data2018_dub.csv\")\n])\n\ng_dub = g_dub.merge(play_data[['gameId','playId','playResult','kickLength','specialTeamsResult','playResult','kickReturnYardage']],\n           on=['gameId','playId'])\n\ng_dub[\"return_5\"] = 5 * round(g_dub.kickReturnYardage/5)\n\ng_dub.loc[g_dub.specialTeamsResult == 'Fair Catch','kickReturnYardage'] = 0\ng_dub.loc[(g_dub.specialTeamsResult == 'Muffed')&(pd.isna(g_dub.kickReturnYardage)),'kickReturnYardage'] = 0\n\ng_dub = g_dub[~pd.isna(g_dub.kickReturnYardage)]","metadata":{"execution":{"iopub.status.busy":"2022-01-11T02:40:05.010381Z","iopub.execute_input":"2022-01-11T02:40:05.010635Z","iopub.status.idle":"2022-01-11T02:42:58.841046Z","shell.execute_reply.started":"2022-01-11T02:40:05.010604Z","shell.execute_reply":"2022-01-11T02:42:58.839981Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"# g_dub['CoverageEfficiency'] = g_dub.displacement*.0013234013819606622+g_dub.convergence*.5305376590284169\n\n# dubG = g_dub.groupby('nflId').agg({\"displayName\":\"max\",\"playId\":\"count\",\"CoverageEfficiency\":\"mean\"}) \\\n#                   .sort_values(\"CoverageEfficiency\") \\\n#                   .rename(columns={\"CoverageEfficiency\":\"CoverageEfficiencyDoubled\",\"playId\":\"num_dub_plays\"})\n# dubG = dubG[dubG.num_dub_plays>10]\n\n# mixG = topG.merge(dubG,on=['nflId','displayName'])\n# mixG['dub_increase_perc'] = 100*(mixG.CoverageEfficiencyDoubled-mixG.CoverageEfficiency)/mixG.CoverageEfficiency\n# mixG = mixG.sort_values(\"dub_increase_perc\")\n# mixG.dub_increase_perc.mean()\n\n# plt.figure(figsize=[12,20])\n\n# plt.barh(mixG.displayName,mixG.dub_increase_perc)\n# plt.title(f\"Impact on Efficiency when Double Covered\\n{mixG.dub_increase_perc.mean():2f}% average impact\")\n# plt.xlabel(\"% increase over 1v1 coverage\")\n# plt.gca().spines['top'].set_visible(False)\n# plt.gca().spines['right'].set_visible(False)\n# # plt.gca().spines['bottom'].set_visible(False)\n# plt.gca().spines['left'].set_visible(False)\n# plt.show()","metadata":{"execution":{"iopub.status.busy":"2022-01-11T02:42:58.845009Z","iopub.execute_input":"2022-01-11T02:42:58.845313Z","iopub.status.idle":"2022-01-11T02:42:58.850756Z","shell.execute_reply.started":"2022-01-11T02:42:58.84527Z","shell.execute_reply":"2022-01-11T02:42:58.849688Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"punts_pd[punts_pd.gameId>=2020000000][['gameId','playId','nflId']].drop_duplicates() \\\n                .merge(play_data[['gameId','playId','possessionTeam']],on=['gameId','playId']) \\\n                .merge(gs[2],on=['nflId'])  \\\n                [['possessionTeam','ERL_2020']] \\\n                .groupby(\"possessionTeam\")[['ERL_2020']].mean()\\\n                .sort_values(\"ERL_2020\")\n\n# This report ranks https://www.si.com/nfl/talkoffame/nfl/rick-gosselins-2020-nfl-special-teams-rankings\n\n# 1. NO (1)\n# 2. ATL (2)\n# 3. DET (13)\n# 4. BAL (7)\n# 5. WAS (9)\n# 32. GB (22)","metadata":{"execution":{"iopub.status.busy":"2022-01-11T02:42:58.852422Z","iopub.execute_input":"2022-01-11T02:42:58.852749Z","iopub.status.idle":"2022-01-11T02:42:59.842932Z","shell.execute_reply.started":"2022-01-11T02:42:58.852707Z","shell.execute_reply":"2022-01-11T02:42:59.841731Z"},"trusted":true},"execution_count":null,"outputs":[]}]}