Skip to content

Instantly share code, notes, and snippets.

@bdatko
Created July 11, 2022 02:51
Show Gist options
  • Save bdatko/87235ebf8fa56553f7872058e2638eff to your computer and use it in GitHub Desktop.
Save bdatko/87235ebf8fa56553f7872058e2638eff to your computer and use it in GitHub Desktop.
Discrete Bayesian network of a classifer with Beta distributed FPR, FNR, and class prior
Display the source blob
Display the rendered blob
Raw
{
"cells": [
{
"cell_type": "markdown",
"id": "f041e00b-3895-4bab-9d0e-622d21c9694e",
"metadata": {},
"source": [
"# Purpose\n",
"* practice and learn the syntax towards discrtizing continous random variables to fille conditional probability tables\n",
"* Try to reason about uncertainity with a common classifier problem"
]
},
{
"cell_type": "markdown",
"id": "16d9f64b-d8cd-439c-aff2-7b2354edff71",
"metadata": {},
"source": [
"## Resources\n",
"* Bayesian network library of choice is [pyAgrum](https://agrum.gitlab.io/)\n",
"* Refered to the following pyAgrum tutorial notebooks,\n",
" * [Tools>Potentials](http://www-desir.lip6.fr/~phw/aGrUM/docs/last/notebooks/potentials.ipynb.html)\n",
" - used to review potential syntax\n",
" * [Learnnig>Structural Learning](http://www-desir.lip6.fr/~phw/aGrUM/docs/last/notebooks/structuralLearning.ipynb.html)\n",
" - reviewed `gum.generateSample`\n",
" - reviewed `learnParameters` for learning parameters of the network without altering a dag\n",
" * [Learning>Parametric Em](http://www-desir.lip6.fr/~phw/aGrUM/docs/last/notebooks/ParametricEM.ipynb.html)\n",
" - reviewed learning with missing values\n",
" * [Examples>Causality And Learning](http://www-desir.lip6.fr/~phw/aGrUM/docs/last/notebooks/CausalityAndLearning.ipynb.html)\n",
" - reviewed learning with latent variables\n",
" - see `useMIIC`\n",
" * [Causality>Counterfactual](http://www-desir.lip6.fr/~phw/aGrUM/docs/last/notebooks/Counterfactual.ipynb.html)\n",
" - reviewed a `potential` with three paraents\"\n",
" * [Examples>Quasi-continuous BN](http://www-desir.lip6.fr/~phw/aGrUM/docs/last/notebooks/quasiContinuous.ipynb.html)\n",
" - reviewed for how to properly discertize contious distributions"
]
},
{
"cell_type": "markdown",
"id": "2e3e3416-8b45-4f43-a41a-3c6f256c4674",
"metadata": {},
"source": [
"## Inspired by Book\n",
"* Chapter 5 Building Bayesian [Modeling and Reasoning with Bayesian Networks by Adnan Darwiche](https://www.amazon.com/Modeling-Reasoning-Bayesian-Networks-Darwiche/dp/1107678420)"
]
},
{
"attachments": {
"c2988eca-c87b-4cc1-a48d-f1f74d9cb232.png": {
"image/png": "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"
}
},
"cell_type": "markdown",
"id": "6532c443-d901-457c-9f1a-b1bbfbc95100",
"metadata": {},
"source": [
"![image.png](attachment:c2988eca-c87b-4cc1-a48d-f1f74d9cb232.png)"
]
},
{
"attachments": {
"f5a58daa-ee25-45b7-a5cc-1cfcbd0133cd.png": {
"image/png": "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"
}
},
"cell_type": "markdown",
"id": "bfe1e831-6190-4703-8295-118dfaaea076",
"metadata": {},
"source": [
"![image.png](attachment:f5a58daa-ee25-45b7-a5cc-1cfcbd0133cd.png)"
]
},
{
"attachments": {
"0a24ad4e-3bd2-4b9f-81bf-74667356283c.png": {
"image/png": "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"
}
},
"cell_type": "markdown",
"id": "8491f69e-fc5e-474b-a666-dfed00b4b4ab",
"metadata": {},
"source": [
"![image.png](attachment:0a24ad4e-3bd2-4b9f-81bf-74667356283c.png)"
]
},
{
"attachments": {
"7f33baf9-8778-4335-ac79-1a051cbee4e2.png": {
"image/png": "iVBORw0KGgoAAAANSUhEUgAAAogAAAGICAYAAADCoREnAAAgAElEQVR4XuydCdiVU/f/V0oDMhQqY5RCCFHKkAaJqMiUogxlnuf5Nc/TayZTIknKPBaZMmSmlCmhDBWKQtJ/ffbvvfufjmc453nOcJ9zvvu6uqrnuc997/3Z+z77u9dae+0ai72YigiIgAiIgAiIgAiIgAj8j0ANCUSNBREQAREQAREQAREQgUQCEogaDyIgAiIgAiIgAiIgAksRkEDUgBABERABERABERABEZBA1BgQAREQAREQAREQAREon4AsiBodIiACIiACIiACIiACsiBqDIiACIiACIiACIiACMiCqDEgAiIgAiIgAiIgAiKQIgG5mFMEpctEQAREQAREQAREoFQISCCWSk+rnSIgAiIgAiIgAiKQIgEJxBRB6TIREAEREAEREAERKBUCEoil0tNqpwiIgAiIgAiIgAikSEACMUVQukwEREAEREAEREAESoWABGKp9LTaKQIiIAIiIAIiIAIpEpBATBGULhMBERABERABERCBUiEggVgqPa12ioAIiIAIiIAIiECKBCQQUwSly0RABERABERABESgVAhIIJZKT6udIiACIiACIiACIpAiAQnEFEHpMhEQAREQAREQAREoFQISiKXS02qnCIiACIiACIiACKRIQAIxRVC6TAREQAREQAREQARKhYAEYqn0tNopAiIgAiIgAiIgAikSkEBMEZQuEwEREAEREAEREIFSISCBWCo9rXaKgAiIgAiIgAiIQIoEJBBTBKXLREAEREAEREAERKBUCEgglkpPq50iIAIiIAIiIAIikCIBCcQUQekyERABERABERABESgVAhKIpdLTaqcIiIAIiIAIiIAIpEhAAjFFULpMBERABERABERABEqFgARiqfS02ikCIiACIiACIiACKRKQQEwRlC4TAREQAREQAREQgbgQmD17tr344ov20Ucf2frrr2/77ruv1a1bt8zqzZ071+655x476KCDrH79+ik1QQIxJUy6SAREQAREQAREQATiQeDtt9+2bt262cEHH2wXXXRR+PeMGTPsySeftA033HBJJT///HO7/vrrgzj87bffbObMmda4ceOUGiGBmBImXRRnAvPmzbPff/99qSo2bNjQll122X9Ve/Hixfbpp5/awoULbdNNN7UaNWrkrGl//PGH1apVK/wpxjJ//nyrXbv2kvbR3vJWs8XY/sQ25bLtfOkvt9xytswyy1i6z033+mLvt0WLFtlff/1l9erVy2lT//zzz/BdxPujPskp+oJ8GONlnXXWsR9//NEefvhh69OnTxCBxx9/vLVv395ee+21MJ5uvfVW++qrr8LfWBApEogF2eWqdFUJdO/e3Z599tklH69Zs6Z9//33tuqqqy51S16U/fbbz956663w89VXX92eeOIJ23rrrSt89Jdffmm333673XfffdapUycbNmzYv67/+++/bauttrKffvrJjjnmGBs8eLA1aNDA/vnnH7vmmmvs1VdfDas6RNRnn31mRx99tPXo0SPc54svvrCrrrrKHnvsseAmaN26tS1YsCBMVFyzzz77hMmf8uGHH9oll1xir7zyiq277rq20UYbhZ/zRfHee+/ZDTfcYM2aNVtyzfbbb29nnnmmbbbZZkvV+eeff7aHHnooXMcXCddw7R133GEjRoywAw880C699NIln2EVyu+oI9fiymAyo57nnnuuTZ482dZaa63ws+nTpxsTLV9UXJssnM4444zw7I033tiuu+668Ouzzz479Msuu+xi/J42/PLLL3bBBRfY008/bRdeeGFgeeWVV4ZV8gEHHGCHHnqo7b777rb88stby5Ytw8+nTp1qO+64Y1gpT5o0yQYMGGCdO3e2//znP/bJJ59Yz5497eSTTw73ZwXO/d99911jDJ166qnhPlH59ddfA4uLL744PHvnnXcO/fDNN9+EL+RDDjmkzAUGfQG/Z555Zsm9XnrpJTv99NPDZzt27BiYRav8l19+2U444YQwXhgHjN3zzjsvXLvFFltYo0aNwn1Y2EybNs3eeeedYAFgXOIuWnPNNYNAnDVrVqjfI488EjgMGTLE7r///tAvp5xyiu21117/Grc77LBDsDgku5x4L6gDHHm3mjZtuuSzI0eOtCuuuCLU7aijjgrjNSosvJiMrr76amvRokV4vxgTFPoTnow5xn/Xrl1t1KhRdvfdd9tKK61k22yzTeCJQGKC23vvvW3gwIGhb+gvxvsHH3wQft+uXbsl/c3znnvuuSqNqYgJYyx6d1ZYYYUwdrbbbjs78cQTje8TJtVrr7028IQ3deUdYsF57LHHWtu2bUMbGTP33ntv4MO4POuss6xfv342ZcqUcC/+5t05/PDDA1MmesYon+Pd/+6770LfMVZzuXj918DQD2JN4MEHH7S+ffuGOr7wwgvWpUuX8N3cq1ev8DPGM+9NVPr37x/GLkUCMdZdq8plkgBfsFgCEye4LbfcMoiZxMKkgkhgYmLSQ4gw2fJFfcstt1RaJYQQkzAFMZRowudnvLCIQoQEFs3oyx1BgngcPXq01alTJ3yeSWDbbbcNQvKkk05ack8E080332xHHHHEkp8deeSR4Xq+BFgxUp5//vngTnjqqadCO6IydOjQIBD4MoiuSf6iSG4oExsWzddff33Jr5gAEVsPPPDAki8hfgkDJjPEHWXOnDlhoqQtiBEmUgrCFlFLexADyQXx2Lx58zDp0y7K119/beutt17oI8RTVBAYCN9zzjkn/AgRh0jkGViIaT8c4I24Qggxca+88sphor3xxhvtv//9b+hjWCb3HaIfMYdYROCXVWBE3yHKKdSHRQWCD9dOcuFn1BcxkyjMqc/mm29ubdq0WXIvPkt9aQciZ8UVVwy3Q1gj0FlQRNYsxAii+Pzzzw+iD8GKSLvsssvCZ4hFQrAhbijRmEVwl9UPLFpYFMCHsZhc6NNBgwYFAThhwoSlrGr0A+I0WqAkfxZRxPjhnbjtttuW+jWi/vHHHw8/Q1AiIOk3RFVUWJCwsGIhwFiOxgQLpm+//Tawpdx5551BXO6xxx5VHlM8B3E4fvz4Je8Y9eLd5d2I6ko/IeJZVETjkT5izMIycaHJu0pfM2lT+M7ZaaedQj+wyIwKfTdmzBh74403wo9YXPDeME5XW221f/WJfiACEGAMsoCjRN/xfJcyxigsuFlUR4XF7F133RX+K4GoMVQyBJg8IutORY1GlCDUIpGGMGTiKm9yTL4Xn2VFxkSAAGPyTCy77rprsPRgvcEaQBk+fLjtv//+wfKTaJnid1gksTxgEcTSwoS4wQYbBGGLCIgKAoEJmkkQEcdkijWKSYa2Y4WJChywImEZLe+a5HYh7pgEmRyjwmSLFYtJGGEQWYhggECMVqJM3nw5MWEnu5IRj1iRsL6VVbDGYMnD2oggpTD5Y2HBwhoJ7OOOOy5Y1yILFhYZJlnEEgUrXbRSThaI/J76Ib4iscO9EadRiVbiiD4m9LJKWYyieJ+PP/54qY9EjOCGJTP6Uo4uioQq8UCwpLAgOOyww5Z6Pl/+TAIIlcSQBLhimWIcIxIZX4nCintiwaJQF0Q04gpRmVwQf9yPfka8Rlbq6Drq+OabbwaLINYKBF9U6AcEYiLLxPtTD+pJexnrPCsqWNCwJEYlsmAnjxUmMkQZ98F6GI2RRIHIYoz6Y+2rypjCCosg43sAMZtYYMJ7C08WEYg8FqKIQhYHFN6TJk2aBKt3oghn8cN4wkLK5/Bc0A+RpTF6Dt8ljEkEYjTmsaozdsobj2UOUv2wpAhEC1sazb8ZR3gi8E5QkhdmEoglNTzU2IgAbhsmIL6keTmwEFb2xcrOL1xUa6+9dhAYkWisiGo08TNZMWFg8YoCfZlEH3300SAMcT9HAhGzP9ch/pILQg4LQWSNKE8g8jlEBi84XwBYfMoSfwimSATxmeoIRCZwJiksXQhSXJrEdCYKRNqIla4iCyzipqw4UOqHK54+o/2RGxohR39gCWOC5Hm4ALGwRCVZICZyLUsgRr/PpECMrNYIZ9ytiYV4ICZ6rNPUFTdxsiUIcYk7HTci/c7KP3G1z/3KEoiESCAm+DyFSYFFCMKDZyEkqVs0nisSiIgvhCX3wHKKpQvLXmJBIDLGGd9YybC0IdYpqQhErOG4vBi3LEAIOaCkIhBZvCGak0uyBTHx91UZU5G1F9EZLVQS79mqVauw8Bs3blyZAjGalBHRifWNBCI/x5qK+C0rlAULKAvC3r17B2toFJbCYq9YY5Ur+p7V71IjwMIG6z2eFBZfzIFYurF6U1gQJnpiJBBT46qriowAX+CRS42m4Y7D5YjAKKtg2cHiRMAuEzmTJJasykokjpgosSpgQYgsBlhLLr/88jDJs5qLgoGZWLiWSaSsQl0RRVgdKxKICDQmcUQbFrVI/PFcLDhs0OEZuHux2lGqKxCx8CAMiFFDlBKHhgiNLIi4W/kdoixyk/NcLLW4hSMLH3GgWHfKKlhdsRjSdlza8MMVj1UUKyVfeFgYcZtGpboCkfpGMX3ck/GAkKnMgkj9EABYtBhfCB/crJFLOKofggthhWULwYH4xd2TWBAjjFv6izGAyz6K04uuiwQiX/RY9nA98lzGwG677RYuQ6TTHyxONtlkk2B95p5RqUggIsyJ8WOS4TMsfMaOHbtUPSOBiCt7zz33DCISNzgLn1QEIiIPCzhjF3c3sZ4sCsoSiIwl3GOMHyyCMIpihRMrVZFA5Lp0xxR1QeQz0ZYlyPiuIPyARWVkQWRRysIFiz4WUgQ7FsjEzyMQGftYaOFclouf+vKe0Bf0M+KQ9zeyLFf2naTflzYBFr0YRHjP+Y7EU8X7SeG7M/qe4P8SiKU9Vkq29UzcxOghkHhheElYqZc1uUSQcB0xuTOx4hrlS7yyXYuJ1jNcsAgwrENM0ny5s4LjJU0UiEwQuK/KE4i4jRFPbBKoSCAigBEUxCuddtppS8Qf1krcnwhELBxMqghVSiYEIveJ8mYhAnl+JBCx8rH5gxi/RAHHZ9iMgPDAkkXdo9jN5EGKyxLrCnVlUwJucyxwN910U3Dd4XplZx4u86hUVyDCLNFShCjCilSZQKT/sdZhpeLLl37GrYgFNSpYBBG4kSDEMkTfInKTLalwI+6PMRit+hP5RAKRcUFsJ8/FkoxASvzi5zOMe8YzCxMES+TOLU8gYtnFPRxttkKMI2wJdyCeNyqRQEQkIY6wutMvLFgQo5W5mBGIvF+44RGhxGPS14QmJLuYGUMs1CKByLOj+L1ELpUJxHTHFEKPPsPyWpZAZCHAGIkyJeBipr/oEyzbLKLKsgwiEBHdbDyhHdQLN3N5hQUXCxBiD3Fn035tUinZaS3lhvM+MgajUBLeTb5vmZtYcERFAjFlpLqwWAmwEYUvYcRL5OYtr61Mnnyxv//++8HVh5CrqCQKRF5IJjxinn744YcgcrDgMMmxUYTJhIKlhQkeN3NyiVy0TOyIuooEIpMp7YqCkcsTf1jDIjdepgQi9UbIIGhoGy5gBEVUfyya0U7kxDYi9vjSila0ZbHFuoT4Q3Djcqd99AUssSZiuUFAJZbqCsRMxSBiQabfEje3wIkv7EgQs/DAmhrFCCW2g5/j0kUYlGVhLcvFzLhCbLJYSC5YGLG8IsgZb4jg8gQi4wnxRogFJdpERZwhbs6yBCI/Y7c91kDiAVkcsOmnohjESCDyWWLxEGPERkW7maPnlBWDmDiWE9tamUBMd0xFLmbc94k7taNnsgkI6y7vfGIMYpROhJ8xBgi3SCyRi5kYVyyI9DdCNNmNn/iZSLjzftFHbPRSEYFUCETfm1zLd2ey10ICMRWKuqboCOAaSnTPYYnC2kXQN24trCIEhpe1GkecYXFhwop24JYHKHmDBpM6kzXu12jTBgKR+EQmDQpWFqwCuFHZgJJYEA2k8GDFR8xkeQIRiwpWQsQGYhbxUZH4YyJD7HLfsjayUAfYYOHDglnWBoxkFyBtx/3H53A1Ru1FkPDFRDxMsgUWcYxFJjH9UFlssVxhXUEQRbvyEO5Y9LCYYU1JLHERiJFlFfcwAoD+QTQgohMLAgMXMf2RWKoiEKPPszmJxRAW2igekd9hrcS6iCinv8oTiMS74VZNtGpSd+LlsEJH6aESLYjRs7k3YRG8c5zekKpA5PNMWsTiIZ4S43LL26SC1RQPQWIancoEIs9JZ0wxfnn/aDuTaGLh/UYMRxvZkjepMO7JmMBiEfd/4iafxE0qfEchDInDJN40WhBg8WXDS2I6KRYBvJeJISxF96WtBmWUAO857yRji8U2XpjkDWcSiBlFrpsVAgEmK2KOECN8wZMmBTcomyuYIPkdViniznD14PLjReEaXiAsJoic5ImhrLazuse9Gu3kjAKCE3cSY1FhUsWKQSG+iAkcUz+WhEikMulhiWEHKnWjYNliNzPuVe5DwSqE2w2rHUILsUGJ3LvJu5iZUBF3uJuja5LT3PBshGlk2evQoUMQcolucCw9fMkkFix81BlBGQlErGXUCRckLvZEwUEMKAKmMoFI2/hyQzAwqVIQ7cR50f7k/HxR+heC+JNFP+lvEP2ItVVWWWWp+iPWsV4RXpAo1qOd5sTHRXyT+x9GlCgVEP3KhI+VC4sdMY2IWyx7yVafaNdytPEmuneUsyzaeJT8TALMsQQk72LGWsU9GRe4OlkARRZLYllx32INwzIbpZAhJQtxbhQWF1inklM74dpkYZG445n8hGxSSUylxD2izUDJ1tjENiDssSAmLhzgRp1hTVgIhX5kcUa/Ju5iZtLj/eBnif3FO42Ipd3llXTHFM/gvU20BLIwi2KV6XfqiHgj5pR4QsILKFE/0h+Mv6jwfYPwpE8oWNwZX4xN+iDaSIell3cEqzmFMU+cJt8vtFVFBCoiwCKDMBe+r/nu4z1PFod8noUjC0hKKh6z6Jk6SUXjr2AJICqYcJjcmIj4QkdcRalfmKSw1GGJIm8h1gc2GTDhIyLZ9UzC48oKEyECFOsgQeQIS8QQExgCg4IrFBcjsR+8pMTPYYlhksaNhRURix4ChVQ5vNTEcFFoB5MOEzJuPwL2Kbz81JX7Es9EIYCfCZ8JBHcylkAmWawdWN34IsCCGl1DPjbugcUJQUc8GO5qNucgFEi1wxcKsX7wwLLF5IfVhOsShRbPRsAiBqPChIY4wkKGZYQ20x7aTQA1cWsVFSZiLHDRRMq1WHRpM32XWKgvFkRcnUzICL5IPCDAcHdj1aJN/D5yoTLBR1ZlmCNGsHwRp8qXKpYd+jQxeTXPZVJH2FMXxA3Cmn7HcoRLEcaIQhYNHHdFfejraOMKopr/wxbxhbBGGCDgESX8jdCkDoluZgQObWGsYLHlWcTI8dyJEycG4cXYY0GE6MCKTR8yPln8cE8+y3XsPIYRz+N6BCzihfEcWf9oG+8ICyiSRHMf/oYHbeHvZDc4z2ecJ1sQ6XfeCfhzDe8jC5+oMKZpE9YOdlIzzqgz7l3c1hTCNuhH6sW4pvBv6kXfEnPLOGTBVlbscDpjKqoXlmDev8jyymTKdwTWPRY61BUBSFgJYo6wChamlCjcgHeaccZnscjy7nAdoj0as3xP8HOY8h2BCEQM04eIccY873CUZ7HCl0e/LFkCLAIJByE+lrHD2OO9Ti54NDAk8N0TbRzkO4h3kO+dyjJ4SCCW7BArnoYjKJjQygoyx6oWpRnhBWGS5Qs6MYA3VyRIfUI9k094ydXzM/EcRBMusOQCW2LfEFBlpQup6NlYZpIthWX9LBP1L6Z7RGObPkGMIgDLsh5ko80sOLDgVjbBlPXs8sZQJutZ1TEFR1zJZcUjZrJ+0b2iPmQBwPcDz60K02zUTfeMLwHGDfNdsqck0zWWQMw0Ud1PBERABERABERABAqcgARigXegqi8CIiACIiACIiACmSYggZhporqfCIiACIiACIiACBQ4AQnEAu9AVV8EREAEREAEREAEMk1AAjHTRHU/ERABERABERABEShwAhKIBd6Bqr4IiIAIiIAIiIAIZJqABGKmiep+IiACIiACIiACIlDgBCQQC7wDVX0REAEREAEREAERyDQBCcRME9X9REAEREAEREAERKDACUggFngHqvoiIAIiIAIiIAIikGkCEoiZJqr7iYAIiIAIiIAIiECBE5BALPAOVPVFQAREQAREQAREINMEJBAzTVT3EwEREAEREAEREIECJyCBWOAdqOqLgAiIgAiIgAiIQKYJSCBmmqjuJwIiIAIiIAIiIAIFTkACscA7UNUXAREQAREQAREQgUwTkEDMNFHdTwREQAREQAREQAQKnIAEYoF3oKovAiIgAiIgAiIgApkmIIGYaaK6nwiIgAiIgAiIgAgUOAEJxALvQFVfBERABERABERABDJNQAIx00R1PxEQAREQAREQAREocAISiAXegaq+CIiACIiACIiACGSagARiponqfiIgAiIgAiIgAiJQ4AQkEAu8A1V9ERABERABERABEcg0AQnETBPV/URABERABERABESgwAlIIBZ4B6r6IiACIiACIiACIpBpAhKImSaq+4mACIiACIiACIhAgROQQCzwDlT1RUAEUiOwePFimzN7ts2eM8fm+J+ffvzRfvvtt399+J9//rHf5s0LP69Tp87//V23rv3999+2zDLLhD/LL7+8NWzY0FZddVVr4H83aNDAatasmVpFdJUIiIAIFAABCcQC6CRVUQREIHUCs10ETp40yWbOnBk+hLBbsGCBIfxWX311W3PNNYOgW83/vcIKK6R+44Qrf//9d/vpp5+MZ8347jv75ptvDAG6ggvH2i4qEYtNmjSxlhtuGJ6pIgIiIAKFRkACsdB6TPUVARFYQgBR9sUXX9h7775r8+fPDz/HqrfxxhvbWmuvbcsuu2xeaC1atMhmzJgRhOr3339vi12c1q5d2zZu1cpabbKJ1apVKy/10kNFQAREIFUCEoipktJ1IiACsSCA4Hr1lVfsl19+CVZBrHRbbbVVcPvGuSxcuNA+/vhjm/TJJ7bwr79sWReM2267rTVdb704V1t1EwERKFECEogl2vFqtggUEoHvvv3Wxo0bZ7h2cRHv2KmT1a9fv5Ca8K+64vae8Prr9s306faPW0LbtmtnrdzCqCICIiACcSAggRiHXlAdREAE/kXgjz/+sHFjx9qvv/5qTdZYw9q3b79k00ix4SJO8vXXXgsu6RVXXNF67L57+FtFBERABPJFQAIxX+T1XBEQgTIJsMP40TFjgvt49549S26Tx7y5c+3pp5+2BR5T2b5DB2vRsqVGigiIgAjknIAEYs6R64EiIAJlEZj21Vc2fvz4YC3ccccdw6aOUi5swHnjjTfsw/fft+122EHu51IeDGq7COSBgARiHqDrkSIgAv+fAK7kp5580lbwmMKuXbuGPIMqSxN46cUX7UfP29hjt91ivxlHfScCIlAcBCQQi6Mf1QoRKEgCL730kn315Ze2X9++Vq9evYJsQ64qzS7oh0aMsOWWW85677GH1ahRI1eP1nNEQARKkIAEYgl2uposAvkmwG7kh0eOtC233NI23WyzfFenoJ7/2Wef2ZNPPGH79+tXcvGZBdVRqqwIFDgBCcQC70BVXwQKjcC3nrLmuWeftX79+6e9K/lLT4p9w3//a1+61bFjx442j6PyPFbvgAMPtPWbNYs9irm+AeX5554zEmnjNh502GG2xRZbpF1v4hMRibSZpOAqIiACIpBpAhKImSaq+4mACJRL4J133gnH03Xr1q3KlG675Ra7+eab7YOPPgr3GHLHHUE0Puk7f9daa60q3zdbH5z49tu21dZbh9vf6PXcsk0b6+AJsofff7/d6m0Z/+qrVX70C88/H47169S5c5XvoQ+KgAiIQFkEJBA1LkRABHJC4EVPdP2XnyCyc/fu1Xre0HvvtauvumqJQORElTabb26XXXGF7b3PPkasHkfs/fnnn0sslPwbqx3xe4mF4/m4NvlIvuizbKCpW7fuUp+hDeQtTL5XWZ9503chX+X1GvnII+EeWE5JkN2rd2979pln7LxzzrE3XEBWp7Dz+1dn0LNXr+rcRp8VAREQgaUISCBqQIiACGSdwOeff24ffvCB7dmnT7WflSwQsdDtu/feNuTuu+2Rhx+2Gr4LuraLvnf9fOZxvgkGS90fLhDfevNNa9ykiZ33n/+EOlx4wQXBPfuaW/BmzpwZjus7dPBgu8B/j+gkNhJ3cDN34/73xhvDZ2684Yawi5hTXF5++WX7r/+fTTbHH3usbemfr+XWPHIYHnrooXbgwIH2n3PPDSfADHZX8h6+saR+QvLrC84/35Z3wXrSKadUmwniu65v8iGZuIoIiIAIZIKABGImKOoeIiAC5RJgQ8pot6D1P+CAjFBCIF52ySV2wUUX2exZs+yRUaOsn9/7wAEDgrXujQkTgsWOE1je9xyCH3/4ofVxAYlru5eniXnMU+qQhPuUE0+0Z9xFS1zgVh4HOOGtt6xhw4Z255Ahwbr34EMPBaG4tW+kedvFZoMGDWwPt9INueuucF3rTTe11/xZK6ywgg065BBr6QmtTz71VHv6qafs+uuus2dcXD7nf25yt/KjHi+YWLBmHu5i9EZ3ldepUycjXB579FHbum1ba+IiWEUEREAEqktAArG6BPV5ERCBCgncfNNNNvCgg/7lkq0qNgQiQvDRxx+35V2crbrqqktyJ2Lh+3raNLvy6qvD7S9yK2FtF2CbJ2wE2dSF3SwXlvu5aPzwk09CDF9bt/6N9U0jWAbvdgGIyLzNYxspG6y/vj3vFrqmTZuG/2MJxeJ44vHH21PuMl533XXtsEGDbBu33h108MGGRfPYo4+2191iWZ5AJAE2wnKTTTapKoZ/fY6NK7e44Dzs8MNDm1REQAREoDoEJBCrQ0+fFQERqJDAxx9/HOIOSWeTqZLsYk68b7JAPPXkk3Z9mVMAACAASURBVG1dF3ZHuWCLCjGA5FzEComVcXs/pWTevHm27377hUvKE4jrrLOOnXn66babn5O83fbbBwsiIhXhmK5AxN3dtl27TCFZcp/p06fb224J7bPXXhm/t24oAiJQWgQkEEurv9VaEcgpgXvcGjfQrWqZLLiAr/FNKh9PnvyvZNHJAvH+YcPshuuvDy7eRo0a2Ue+8xlXM7F6t996qx1+5JH/2qBy1513GptLki2If7iw3NM3l7znLmtOe9nMrX9Puyu66Xrr2WCPOeTcZCyICLTjjjkmWBCJDbz8ssuCuzmxTJ0yxdZzy2Ty5phMcKK9xxx3XCZupXuIgAiUMAEJxBLufDVdBLJJgNi+cWPHhlM/MlW+8DyI55x1VhBw5/pmkr3cTcymEcqM776zE9zt+/OcOXbVNdfYZq1bh53MRx1xRLi+WfPm1n2XXexw///XX39te/TsaSuvvHJw9a62+uohJyGbVo53cfe1W+JudyH6hW+uOcJ/fppbDge4m3wXT8/T0F3au/boYQ8+8IBt0KKFHenWSQQi7uKLLr7YbnPhee8999hwP/VkjTXXtF133tk6d+kSRBvWRlzB7Lq+ya/LxqYS8isihjdSfsRMDTvdRwRKkoAEYkl2uxotAtknQPxdG3ctI6jyXdhsghCsVatWqMo7EyfaHBeSiCiELK7msb5h5WzfdVxRYXMLLmpEKSlysCQmp8FJ/jypcnhu9Gx+X1b6nEwxQhSP9A02mdoUlKl66T4iIAKFRUACsbD6S7UVgYIhQHqZvn4cXBzLPh6jx2aOLl27hup956e7EC9Z3RyNcWkrApGckCoiIAIiUFUCEohVJafPiYAIVEiA+D+O04tjIffhfUOH2qyffrJ1fBfyjp06FVWiaQnEOI461UkECouABGJh9ZdqKwIFQyDOArFgIFaxog95/OM+++5bxU/rYyIgAiJgJoGoUSACIpAVAnF2MWelwTG66Sg/UUapbmLUIaqKCBQgAQnEAuw0VVkECoHAE54jsGPHjksdL1cI9S70OnJO9HDfYX3AgQcWelNUfxEQgTwSkEDMI3w9WgSKmQDxfW95TkBSwqjkjgApfThhJpOntOSu9nqSCIhAXAhIIMalJ1QPEShCAvfefXfIHxjnQmLrVfyc5eaeJ/Hnn3+2uzz/4dSpU6215yr8/bffrLGfbby/78b+yBNkL1y4MJx3HOfC0YZHHnVUnKuouomACBQAAQnEAugkVVEECpXABD/TeLXVVgviK47l+f+dcLKTJ8COyhA/g/n2226zN/1MZZJakxy7mye7PumUU4zYPk5OadOmTRybYz+51faZp5+WezmWvaNKiUBhEZBALKz+Um1FoOAIXH3llXbcCScslSg6Do0gUfYxbmm7f/jwparDucr169cPp7FQjvWTVeb48XzDPK5v0aJFtp/nF+QztWvXjkMzlqrDVVdcEU5sqVOnTuzqpgqJgAgUFgEJxMLqL9VWBAqOwMyZM428gxyLF6eCK5aTUY52ARgVXMgcg3eJn5+82+67hxNWsCAefeyxwc1MOffss23jVq1sv75949Qce+zRR635BhuE4wJVREAERKC6BCQQq0tQnxcBEaiUwLvvvmuLfHdtnOL3BhxwQEiOnZgO5q0337T999svnMu87LLLhhNWOmy77VLXEFf5pl93s5+lHJdCfCRCHFe4igiIgAhkgoAEYiYo6h4iIAKVEiB+b/XVV7ftd9ih0mtzccHOfsze6WeeaZ06d17yOFy0r732mo12a1x5hXY86O7mkY88kotqVvqMyZMm2bcuZBPjKCv9kC4QAREQgUoISCBqiIiACOSMABsoVlxxxWCVy3fp3bNn2O2baHXrtdtu1nHHHe3Ek08ut3oc0ffSiy/anW5JzHd5Z+JEmzVrVtGcIZ1vnnq+CIjA/ycggajRIAIikFMCuEPHjx9vhx9xRF43rpx1xhnWzHdXH3zIIaH9s30jSlvfnTzcj6lr265duUywMi7y2MXTTj89p9ySH0ZcZ40aNWIhtvMKQg8XARHICgEJxKxg1U1FQAQqIvD999/bmNGjrVfv3tbE8wzmo5Dr8Pprr7WbbrnF5s6da5ddcomNePBBO+/88+3AAQPKrdIBvlnlwosvtqZNm+aj2sbua+rZ2V3jLTfcMC910ENFQASKn4AEYvH3sVooArEkQI5B4vmwgu2x5562zDLL5Lyel7rQGzBwoK2x5popPfuzzz6zxz0+sSIXdEo3quJFHF+IuO7vG2zq1q1bxbvoYyIgAiJQOQEJxMoZ6QoREIEsEvjxxx9t7Asv2EYbbWSbb7FFFp/071uT1/BWtyCSsqZhw4YVPnu2x/o99dRT1q9//5yL2U8nTzZ2gu/o8ZGpitmcgtTDREAEio6ABGLRdakaJAKFSYAUM5M++cRau0jcIsdCkRQxlbm6EbLsws5lmT59ur32yivWqHFj69ylSy4frWeJgAiUOAEJxBIfAGq+CMSNwNQpU8Iu4dVcjO3ao0fJnQpC8u7xL70UXMkI5Q3dsqoiAiIgArkmIIGYa+J6ngiIQEoEZnz3XRBKNTw2cautt47tec4pNSaFi6Z99ZW96ML4b08ojrWwWbNmKXxKl4iACIhAdghIIGaHq+4qAiKQIQJsZsH9/PHHH4ej8dq2bWubtW4dNrcUemHTy9tvvWW///67rb322iFpt85RLvReVf1FoDgISCAWRz+qFSJQEgTYVPKeb9b4xGMVOQqvfv361trPTl5nnXUKov1sdHn77bfte495/Nvb0qJFC9umfXurXbt2QdRflRQBESgdAhKIpdPXaqkIFB0BLG8T/TSRaV9+aW5StOWWW8429NyALVq2zLslbuHChfa5Wwgn+w7keZ5nEVd5gwYNwnnUjRo1Krq+UINEQASKi4AEYnH1p1ojAiVNYP78+cYmF5JgL/JYvlpuZYzyKyIeG3tS7jU95yFCrVatWtVihTWTpNXf+TnI33zzTTjybhkXqQjBmjVrBqvg+uuvH8Qqlk4VERABESgkAhKIhdRbqqsIiECVCSxYsCAIuW88dQzCjs0gyeWvv/4K8YDkHZz322/W2mMd63lC6hVXWilcj9iMBCcxkORObOwpaEiRs+pqq1W5bvqgCIiACMSNgARi3HpE9REBEcgrgc8//9xeGjfOfnOhyIaYDttum9f66OEiIAIikA8CEoj5oK5nioAIxJIAqXXGjh1rXTzNzBR3VeNGXsmth8QNqoiACIhAKRGQQCyl3lZbRUAEyiUwe/ZsGzN6tB18yCE2c8aMIBBJO/PUk0+Gk0zatGkjeiIgAiJQMgQkEEumq9VQERCB8giwy/j++++3QYMHhw0mWBIjgchnEIlsbiGljooIiIAIlAIBCcRS6GW1UQREoFwCbF65+6677NBBg5bkI0wWiHz4kVGjrKWn0GnVqpVoioAIiEDRE5BALPouVgNFQATKI8Cu5SF33GEHHXyw1atXb8llZQnESCQiEBGKKiIgAiJQzAQkEIu5d9U2ERCBcgmwAeWO22+3fv36Wf0VV1zquvIEIhcNf+CBsGmlefPmoisCIiACRUtAArFou1YNEwERKI8A5zvfOWSI7bHnniGXYXKpSCAGkejxiu07dLCm660nyCIgAiJQlAQkEIuyW9UoERCBigjcN3Sodd1pp5DguqxSmUDkM0Pvvdd27NSpYM6B1ogQAREQgXQISCCmQ0vXioAIFDyBkQ89FFLWrN+sWbltSUUg8uF7fHNLt+7dbY011ih4LmqACIiACCQSkEDUeBABESgZAk88/nhwC2+yySYVtjlVgYir+q4777Qeu+0WjtxTEQEREIFiISCBWCw9qXaIgAhUSGCcn5BSv379lE5FSVUg8kBEIptd9vR4Rp3HrEEoAiJQLAQkEIulJ9UOERCBcglMmDDBSGnTsWPHlCilIxC5ITui2fTSZ6+9ytz0ktJDdZEIiIAIxIiABGKMOkNVEQERyDyB9957z3768UfrtvPOKd88XYEYicTbb7vN9ve0OZzfrCICIiAChUxAArGQe091FwERqJDAlE8/DUfm9ezVKy1SX3zxhf3oorJ9+/ZpfW7hwoUh8Xb//v3/lVsxrRvpYhEQARHIMwEJxDx3gB4vAiKQHQLTpk2zN9y1vF/fvmk/AGE5b94822rrrdP+LK5sYhIHDBxoK6ywQtqf1wdEQAREIA4EJBDj0AuqgwiIQEYJzJw5055/7jk7cMCAKt23OgKRB/7555/BknjwIYcsdYRflSqjD4mACIhAHghIIOYBuh4pAiKQPQKzZ8+2R8eMCecr16hRo0oPqq5A5KELFiwIKXAOOfRQq1u3bpXqoQ+JgAiIQL4ISCDmi7yeKwIikHECuIU5Bu+QQYOsZs2aVb5/JgQiD58/f77d7cm0Bw0ebLVr165yffRBERABEcg1AQnEXBPX80RABLJCALcuqWYOdXFYXTGWKYFIQ+fNnWv33XdfRuqVFXC6qQiIgAiUQUACUcNCBESg4AmQh/C2W28NbuV69epVuz2ZFIiRSBw2bJgNPuywalk2q90w3UAEREAEUiQggZgiKF0mAiIQTwLRSSb77rdfxvIPZlogQm7OnDn20IgRwd1cHfd3PHtBtRIBESg2AhKIxdajao8IlBiBe++5x7rvsos1atQoYy3PhkCkcmygGfXww0EkVnUDTcYaqRuJgAiIQAUEJBA1PERABAqWABa5tu3aWdOmTTPahmwJRCpJAu4xo0dLJGa0x3QzERCBTBOQQMw0Ud1PBEQgJwQef+wxa9GihbXccMOMPy+bApHKkqfx2aeftoEeM6kiAiIgAnEkIIEYx15RnURABCok8JwnwW60+urWevPNs0Iq2wKRSn/77bf2grdDIjErXaibioAIVJOABGI1AerjIiACuSUwfvx4q1unjrXbZpusPTgXApHKcxzg66+9Zvv365e1tujGIiACIlAVAhKIVaGmz4iACOSFwJtvvBGOsduhY8esPj9XApFGfPnFF0a7+kokZrVPdXMREIH0CEggpsdLV4uACOSJwAfvv28/+AaPbt26Zb0GuRSINGbqlCn20UcfWZ+99sp62/QAERABEUiFgARiKpR0jQiIQF4JTJ061SZPmmS9evfOST3eeecdW84Tbm+08cY5eR4PmeTt+3TyZNuzT5+cPVMPEgEREIHyCEggamyIgAjEmgCbOV55+WXru//+OavnxLfftvr162dlh3RFjcCK+NWXX1rPXr1y1lY9SAREQATKIiCBqHEhAiIQWwKzZ82yxzydDUfo5bLkSyDSxvfee89mzphhu/bokcsm61kiIAIisBQBCUQNCBEQgVgSmDd3rj1w//02+PDDc37qSD4FIp3xzsSJNsvF8c7du8eyb1QpERCB4icggVj8fawWikDBEViwYIFxhF6+zi3Ot0CkwyZMmGAL5s+3zl26FFz/qcIiIAKFT0ACsfD7UC0QgaIi8Ndff9k9d91lBw4caHXr1s1L2+IgEGk4ORJJ69Opc+e8cNBDRUAESpeABGLp9r1aLgKxI7Bo0SK75+67bZ999rH6K66Yt/rFRSACgMTgtWrWtG232y5vPPRgERCB0iMggVh6fa4Wi0AsCSxevNiGult5t549rWHDhnmtY5wEIiDGjR1r9TztTvsOHfLKRQ8XAREoHQISiKXT12qpCMSaABtScKU2adIk7/WMm0AEyPN+bvPKK69sW7dtm3c+qoAIiEDxE5BALP4+VgtFIPYEHhoxwtq2a2dNmzaNRV3jKBAB89STT1qjxo2tTZs2seCkSoiACBQvAQnE4u1btUwECoLAE48/bi1atLAWLVvGpr5xFYgAevKJJ2zttde2zVq3jg0vVUQERKD4CEggFl+fqkUiUDAExr7wgq266qrWevPNY1XnOAtEQD0yalQ45aVVq1ax4qbKiIAIFA8BCcTi6Uu1RAQKisCE1183z4Bt7du3j1294y4QI5GIQEQoqoiACIhApglIIGaaqO4nAiJQKYH3/Ti5OXPmxDYJdCEIRCAPf+CBsGmlefPmlTLXBSIgAiKQDgEJxHRo6VoREIFqE5g6ZYpNnTrVdtt992rfK1s3KBSBGESi7/5uv+22sdngk60+0X1FQARyS0ACMbe89TQRKGkC06ZNs7ffesv29kTYcS4vjhtnLX3TzBprrhnnai6pG8cSkiJonXXWKYj6qpIiIALxJyCBGP8+Ug1FoCgIzJw50xBe+/frF/v2FJpABCjHE3br3t3WWGON2PNVBUVABOJPQAIx/n2kGopAwROYPXu2kc7mwAEDfF9Kjdi3pxAFIifR3HXnndZjt92ssedKVBEBERCB6hCQQKwOPX1WBESgUgLz5s61kSNH2oCBA62mnylcCKUQBSJcEYl33H679enTxxp6+iAVERABEagqAQnEqpLT50RABCol8Mcff9iw++4LlsPatWtXen1cLihUgQi/RYsW2Z133GF99t4772dax6U/VQ8REIH0CUggps9MnxABEUiBQBAqQ4bYAQceaPXq1UvhE/G5pJAFYiQSb7/tthDvudJKK8UHrGoiAiJQMAQkEAumq1RRESgcApGrs2/fvlZ/xRULp+L/q2mhC0SasXDhQhvilsT+/fsXZB8U3KBRhUWgyAhIIBZZh6o5IhAHAuyo3b1Xr4J1cRaDQGQc/PXXXyEmceBBB9nyyy8fh6GhOoiACBQIAQnEAukoVVMECoXAiAcftO132KGg060Ui0BkzPz555/BknjwIYcUnKu/UMa86ikCxUhAArEYe1VtEoE8EXj8scdsYz8fuFmzZnmqQWYeW0wCESILFiwIKXAOOfRQq1u3bmYg6S4iIAJFTUACsai7V40TgdwReOH5562R59/bdNNNc/fQLD2p2AQimObPn293u+t/0ODBBbWjPEtdrNuKgAhUQkACUUNEBESg2gRee/VVW3bZZa1tu3bVvlccblCMAhGu5KS8z9MOHTpokERiHAaa6iACMSYggRjjzlHVRKAQCEx8++1gndqhY8dCqG5KdSxWgRiJxGHDhtngww4rmMTlKXWaLhIBEcgoAQnEjOLUzUSgtAh88P77NmvWLOvStWtRNbyYBSIdNWfOHHtoxIjgbi6U022KaoCpMSJQAAQkEAugk1RFEYgjgalTptgXX3xhu+y6axyrV606EU+5icdSFvOZxpyPPerhh4NILITzsavVofqwCIhA2gQkENNGpg+IgAh888039tabb1qfvfYqShiPPfqoderUqegTTP/www9GW4lJlEgsyqGsRolAlQlIIFYZnT4oAqVJYNZPP9mzzz5r/fyEjmItpSIQ6b+ZM2fas08/bQMPPrhYu1PtEgERqAIBCcQqQNNHRKBUCbALduTIkXaQi4litjiVkkBkLH/77bf2wnPPSSSW6outdotAGQQkEDUsREAEUiJAsuX77r3XDnF3ZLFvbCg1gcgAmDZtmk147TXr269fSuNBF4mACBQ3AQnE4u5ftU4EMkKAM33v9pM4DvLj2mrXrp2Re8b5JqUoEOkPNh299cYbEolxHpyqmwjkiIAEYo5A6zEiUKgEFi1aFE7gIOawXr16hdqMtOpdqgIRSOxO/+ijj4p2A1JaA0EXi0AJE5BALOHOV9NFoDICixcvtqHuVu69xx620korVXZ50fy+lAUinThp0iT7dPJk27NPn6LpUzVEBEQgPQISiOnx0tUiUFIEHhw+3Dp17myNGjUqqXaXukCksz/68MMQl7h7z54l1fdqrAiIwP8RkEDUSBABESiTwJjRo23zLbawpk2blhwhCcT/6/L33nvPZs6YYbv26FFyY0ANFoFSJyCBWOojQO0XgTIIPPnEE7bBBhtYi5YtS5KPBOL/7/Z3Jk4Mxynu3L17SY4FNVoESpWABGKp9rzaLQLlEOCYOVzKm262WckykkBcuusnTJhgC+bPt85dupTsmFDDRaDUCEggllqPq70iUAGB1z0PHmlsttp665LmJIH47+5nbPz5558hJlVFBESg+AlIIBZ/H6uFIpASAeLNfps3z7bfYYeUri/miyQQy+7d8ePHW62aNW3b7bYr5u5X20RABJyABKKGgQiIgE359FP7evp069atm2g4AQnE8ofBuLFjQz7M9h06aKyIgAgUMQEJxCLuXDVNBFIhQCqTD95/33r17p3K5SVxzaiHHw47d0slMXi6nfqcn9vcYJVVSj4UIV1uul4EComABGIh9ZbqKgIZJjBz5kx72d2G++63X4bvXNi3u3/YsHByjEr5BJ568klr1LixtWnTRphEQASKkIAEYhF2qpokAqkQmD17tjHJH3DggalcXlLXSCCm1t2kQ1p77bVts9atU/uArhIBESgYAhKIBdNVqqgIZI7AvLlzDTfqgIMOsho1amTuxkVyJwnE1DvykVGjrOWGG1qrVq1S/5CuFAERiD0BCcTYd5EqKAKZJbBgwQIb4Ufo9XfLYa1atTJ78yK5mwRieh2JSEQgIhRVREAEioOABGJx9KNaIQIpEfj7779t2NChtm/fvtqAUQExCcSUhtNSFw1/4AHbum1ba968efof1idEQARiR0ACMXZdogqJQHYILF682O69+27rs9deVn/FFbPzkCK5qwRi1Tpy+P33W/ttty3J87urRkyfEoH4EpBAjG/fqGYikFECw+67z3bZdVdr2LBhRu9bjDeTQKx6r7II6dy1a9i8oiICIlC4BCQQC7fvVHMRSJnAQyNGhBNSmjRpkvJnSvlCCcTq9f49d91l3bp3tzXWWKN6N9KnRUAE8kZAAjFv6PVgEcgNgUfHjLHWm28ut18auCUQ04BVxqWEM9x1553WY7fdrLHnSlQRAREoPAISiIXXZ6qxCKRMgBMvmq67rrVo2TLlz+hCMwnE6o8CROIdt99uffr0sYarrlr9G+oOIiACOSUggZhT3HqYCOSOwKuvvGIrrLCCbb7FFrl7aJE8SQIxMx25aNEiu/OOO6zP3nsr9jUzSHUXEcgZAQnEnKHWg0QgdwQmvv22LVy40Np36JC7hxbRkyQQM9eZiMTbb7vN9u/Xz1ZaaaXM3Vh3EgERyCoBCcSs4tXNRSD3BD768EObNWuWdercOfcPL5InSiBmtiNZrAxxS2J/P99aKZYyy1Z3E4FsEZBAzBZZ3VcE8kBg6pQp9tVXX9nOvoNUpeoEJBCrzq68T/71118hJnGgH++4/PLLZ/4BuqMIiEBGCUggZhSnbiYC+SMwffp0e+/dd61X7975q0SRPFkCMTsd+eeffwZL4sGHHKKTfLKDWHcVgYwRkEDMGErdSATyR+Cnn36yF8eNs3323Td/lSiiJ0sgZq8zOQucFDiHHHqo1a1bN3sP0p1FQASqRUACsVr49GERyD+BeXPn2qOPPmr9PL6rRo0a+a9QEdRAAjG7nTh//ny725NpDxo82GrXrp3dh+nuIiACVSIggVglbPqQCMSDANaYB4cPtwMHDLCaNWvGo1JFUAsJxOx3IgubYcOGBUuiRGL2eesJIpAuAQnEdInpehGICQGC/jlfuf8BB2iCzXCfSCBmGGg5t5vrIhHWgw87TAuc3CDXU0QgZQISiCmj0oUiEB8C5JYbeu+9tl/fvgr2z0K3SCBmAWo5t5wzZ45xVjjuZlnBc8ddTxKByghIIFZGSL8XgZgR4AgzxOGee+6pnHJZ6hsJxCyBLee2s2fPtlEPPxxEouJoc8teTxOB8ghIIGpsiECBERj+wAPWbeeddXRZFvtNAjGLcMu59Q8//GCP+WarQwcNkkjMPX49UQT+RUACUYNCBAqIwJjRo61t27a2xpprFlCtC6+qEoj56bOZM2fas08/bQMPPjg/FdBTRUAElhCQQNRgEIECIfD0U09Zi5YtrVmzZgVS48KtpgRi/vru22+/tReee04iMX9doCeLQCAggaiBIAIFQIAk2Ks3amStWrUqgNoWfhUlEPPbh9OmTbMJr71mffv1y29F9HQRKGECEogl3PlqemEQmDBhgtVedllrs9VWhVHhIqilBGL+O/GLL76wt954QyIx/12hGpQoAQnEEu14NbswCLz33ns2//ffbdvttiuMChdJLSUQ49GRUz791D7++GPrs9de8aiQaiECJURAArGEOltNLSwCkydNMoL2O3fpUlgVL4LaSiDGpxMn+Xvw6eTJtmefPvGplGoiAiVAQAKxBDpZTSwcAj/++KOtvvrqRgzWpE8+sV179CicyhdBTX/77TcjcfNjY8ZYz969bfnllrOGq65aBC0r7CZ89OGH9vXXX9tuu+9uHC9JovgVVlihsBul2otAzAlIIMa8g1S90iHwyy+/WNdOnez8Cy+0P/74Q261PHT9jBkzrHPHjrZw4cLw9Cuuukr9kId+KOuR7777rn3pcYmcutJ3//1tD08UryICIpA9AhKI2WOrO4tAWgRIEnzCcceFJME333prSIatknsCp596qo186CFbe+217YUXX7RatWrlvhJ64r8IsIDqu+++NnXKFNupWze79fbbRUkERCCLBCQQswhXtxaBdAgcf+yx9vhjj9kyyywTNqX898YbbcUVV0znFro2AwRwZe7UubNdctllttfee2fgjrpFJgjcesstdtMNN9j8+fOtTp06NtE3cC3nIQAqIiAC2SEggZgdrrqrCFRK4M8//7R5c+fa/P/FVJ10/PHWftttrWevXrb++uvbsp7aRiV3BH799Vf7bd48W/TPP3bnkCE2cOBAq+nWQ0T68ssvr/7IXVeU+aR/vF9++ukne8ZPWhn7wgvWY7fdrH2HDsHiTh8Rk1izZs0811KPF4HiISCBWDx9qZbEhAAWjinuBvv4o49s1qxZtsrKKweLx+L/1Y8JjcLP6tev/y8rCBsliEGk8DcTY1T4HaJy7XXWsY09afYGG2xgtWvXjknL41eN77//3j6bOtU+9XQpf7gQX95FRN26OExA1wAAIABJREFUdZc66xdh8ddff1m9evXKFBlznTcxiWyM4E8Un0hr//7775CGaKH/3bx5c9twww1tLXdNyy2d2lhYvHixfffdd0Y6G96Zf/63+YR3wzsp3ASLOn3Ge8DPEYPRO8TvuQd9RB/ycxZe9FNU6KN5Lvz5XYsWLcJpRGv6UZXcV0UERKB8AhKIGh0iUA0CTDxvv/WWcTwYBWGA0Fi3adMQw7baaqtV4+5lf5QJD+HDM7+ZPj1MjGEiZQL0yW+z1q1LztqFkGan61QXgwgGxAAioUGDBraOi+l11l3XVnahnq3C86e7a3q69wepiShYs6jDGmusYZtvsYU1bNgwW48viPuyuPng/fftq6++CmKPPkIQrua79umfdf0PC6ZsFZ5P//DOfO99tIz3D2MFocgY2cL7qL5COrKFX/ctQAISiAXYaapy/gggxt732KfJnpeNf6+00krWbpttwuSW78Kki6WM+mFFQawiTDbeeOOic71hpX33nXfs888+C9jreSzaZpttFgRy3NyM37mQZwcu6XNckVjjJk1syzZtsrJ4yPcYTHx+tHgippM+wU3fevPNw1niiRbAfNcZkTjNRev7Ll7nepgBBcG6xZZbZnVRke926/kiUBkBCcTKCOn3JU8A69C4sWPthx9+CO5cJo6NNtooVpNcWZ2ESMRiw0kUTMi4P9u2axc7AZXqAGMSf/nll4OLFzdja7eUbuAuwziJjVTagvUXcct4wsK4uYsmBGMxuDw/c8H+hh8NyWKFxRNta7reeqlgidU1WBrf+5+opy0sAjfZZJNY1VGVEYFsE5BAzDZh3b9gCSCs3vSzYJdzl3EnP82kcePGBdsWKs7k/ZKnbUGU7LLrrrGwelYGlNQmzz37bIghI26s4447Bhd+sRTEB0Lkgw8+sJru6txuhx2Cha2QCkKXTSMksG7mcZgdfONIMcXFsiB56803g7V6WV8g7uhjcA0fiyoiUOwEJBCLvYfVvrQIMGE/9eST4dQGrB8dfFdxoVmoKmswrvFnn3kmxGO1bdvWtvY/cStMyAinlTxuEDGLNarYC7Gl48aNs688GTRu6O677BI2ZcSx4JYd/9JLYXMJMYTUtRRSzmCVD++Ofz+s55kGdu7eXRuS4jhAVaeMEJBAzAhG3aTQCUQT3pdffmk7+Eka7EgthcIGG4TYZi6Gt3E3Wj4LffCKu5DZzcqGga223jqf1cnrs4lbfOLxx62uW0vJxUj8XhwKCyiE4dd+FCRu1408vrVUCxb5Z556ylZv1Cic6lJMVtNS7VO1e2kCEogaESVP4J2JE+1Ft9z02mOPkDamFMsb7kqf6GKRiW7NtdbKOQKeT+wap8ewqUbl/wjM9jRJI0eOtFX9POjePj7zmT7n+eees88//zxYdJv6Ln2V/yMww9P0IObZ2IJFsdg8Durn0iUggVi6fV/yLf/555/t7rvuCsHnOtbOwsYC3Ou/e16/PnvtlRMxgiv/abfCYL1kx7VK2QSI88NataFvjsJyl8syadKkELvK8XaluoBKhfc0t6qSxLt9+/Zht7aKCBQ6AQnEQu9B1b9KBD7yJNYvudVwwEEH6Ti7JII//vijjR41ynr27m1NPBYuGwUx+og/g/Qnvfw5xbCDNxucku858e23QwL2vfbZJyT1zmYh3m74/fdbA8/fuHvPnrKMpQgbMU3yb0ID4hpDmmJTdFmJE5BALPEBUIrNf/KJJ8LJDF26dq2w+bieOX6NwrF32/sOUwoJmTnyi9LKrY+NPAYpuTzgE2snP8+3ugIryiVXXkU39dx/2UjGzfNGPfywre4bEKJ2Z2qs4Da9f9gw27dv3zLZJT8HMUl6G5IqU3DhEZNH/FuUWJlrEE7EUyL6M1E4sYbnkvCc5ONR+eabb8LpLOUVeGXzmER21T7g/LBSZcvqygYmBPwAP25wlVVWWdJUcmy+539wMXOaD/zLGv+Z4J98D3ZJD73nHjt08OCMpGp6efz4cBJOWYXTcDh1paoFKzzeiZ122slaenopFREoRAISiIXYa6pzlQkgTDbddNOlJvzybsbkMeCAA0IS3efd2hjt0kS0nejnJnMWLHFhZZWzzjjD+vtnqxvET4Llyy+91Ab5pEg+xuOOOcbO/c9/wkktDz7wQLDsUI9UCzuY0wmmJ8UMggz3YiYK7kpySg4+7LC06oE42NXjE5v4qSSnnnZaSFR+x+232z777muHH3GEcUrGg8OH2y033WTveO7HTJSvfMPSoYccEuq67377LbnlLTffHE7jYOfuBI+bvOO222yYP/sXD1m47ppr7H7/d0OPGUy1pNsn0X1Z6KzgAq2jb6rKZHnHczQiBA/2tifG07Fg4M/Fl1wSLGSM8fMvvNB27NQpk48v916zZ8+28845x65yxizwqlt23H57O+Gkk8ImE96rTt4O3idSW5Fe6cKLL075EYj25EUBm654R1t6WMCWnjtVRQQKjYAEYqH1mOpbZQJMbmyASEe0nX7qqeFIu2H+RZ9Ybr3lFtu1R49wRFc2C5MVFhxOCKEeHbfbzkb4pgV2+DKJseuXSS2VghC52Cd0JvV0Ci4zxHJXt4ZUpyA8EF243qpS+roY5MSay664Inyc3HtHuHh7m3Q4ngYHy+7AAw/MmEDkGf333z/wTRSIw+67z/bv1y+4xRlTjJHPvF1RnUiinmqePPr00TFj7Kijj64KkiDk2Hm/Z58+Vfp88ocmvP56OD+8rDG1v4vknV2kRxba8W6B48i6RDYZqUQObkIuUBYU/fr3D0/b3tNZ0Y6jXShS7hs61A7wsZRqufCCC+xEF5tl7TbnHWVxl6lFVqp10nUiUF0CEojVJajPFwSBMaNHh9NP0nX3lCcQsV6xm3Mt3/FLcPqrr7xi23hwOrF7gw8/POzIxb2MaxKrGUKvm1vh2JFKoH+i1e853x066ZNPwpm9bA4p76i4ZIEYgSehN+6yIGjcaskpIxzrhqUO1yv12NaF5QnHHWeINCxie7jlM51zZxEDxLy18RM/qlKmeuoazuBll2dVS1kC8XC3rE50kVSWQEQEsAEG6yPiGLaR5YnQAQQmrkBc9FgDo4LFGE5YhUZ5fxHvV54IShaI3KO8/vzUrZ4chUh9sCixM7m/C03OaGb3OPWrSiHdCifmVFV4R89EYGOlK88ieKyLJ3a6D7n77iU7zXFFR4sk4iNxv8Oafubsa4QRfcDuayxscGaxwfvBAocd8y/4+GeTGC5zrPNkFMDFO3PGjJDyaD8PReDdYExzLxZmuLbLuwftoe+xsP7sn8HKyuaexm4pLM+ymywQCSF57NFHbY7zgCs5DynU/fHHHguLA9q5t48NwknOOessO/Pss0OKrLI28jCeCK3QZriqjHB9Jl8EJBDzRV7PzRkBYgnnejwZMYHplsoEIpP8DddfHyYJXL8kDua0j1PcmoD7CsvOQyNGLLHcIShxWw51KxQT4m1uiWRSQbju55MNk/ORRx1VZjXLEogIzy89sXJfFxpXXn65sflmqLvRTzn5ZDvdXYBM0lg7sVAhXG7673/tUZ84q1Jwz3OKRLppcBBjpEiproBBIOLyxK2MkOGeBw4YEAQDJdmCeIxzPHTQoMB55EMP2X333muj3FrH5ouDPbZuiMeIIaZPPvHEIDjOO//8cNoM/Xmt/0Gs7OCWpbPcrZmqQCyvPxHqh3ld7rjzTuOoPQQ97bjAn1nLN+ogLqpTCEVY7M9os9VWVboNY+tDP80lYlnWTUjngiBH5BLycLxzi9yqw93CjvhG6F7h4xBL8S3uej/DwwE28ZAOLHX7uACGMVbgS91Njag92a2vPziPSy66KAh9ROMh3jcIRBYy9BtC8S7vO8Th0UceaeNffTWM6/LuQZ3+e911trJb3rEC8l41aNDATvD6YokvqyQKRIQooQqnnn56EKGEk4z13I+MFRYEnOQDJ55xrP+O75YtPBb4Q1/kVZSv8oXnnw8J0HVkX5WGqD6UBwISiHmArkfmjgBi4M4hQ8oVXZXVpDKBiODDcoIYmeDWlajgmoysQlgQETcfuHij8G+sRYjHri5aB/5vUwUCB6vVdS7iyiplCcSDXCCRVoOEygiPV1x4PORWTCwaWCLPOe+8IIiwUlVXIGI9udgn8nP9nunkervxhhtCnGB1c/jBDWFw9LHH2rduqaJf2SyB6GBiThSIWOsGHXqovfLaawElDFr7hiLYIkiwul559dXhd7hV6S9c1f8599xg5dlt993D78pyMSf2TaIFERFYXn8Sj9bFxfXAgw8OVl5SLNEnmRKI1AmrNpZprG3pFPqVRUTkXq3os1jNEEa3u/hD+CF4EV8d/Izv1/30G8YFVtkfPS0PVjcsZ+t6GEZNtyAe+r+2816wgQPxddsddwRrX0tPTP/i/zYEIaSxxh/k15MfEwH/qvcRZQO/J9fx3lV0j7393cLyyHt2jz+LmNXLr7yy3KYlCkREPl4BQlEQ3Vj9z/PFHycOPez/ZjHIAgKLOn2YqkDk4SziDneRG22uSqefdK0I5JqABGKuiet5OSVALNEu7tZa1d2IVSlnnXlm2KTCxoPEcrNbGJh82MGJQDzBLQmRGImERXkCMRIduH0RPYmfq6iOZQlEJrbhbqFkwkwsMz027FgXrdNdSF3lQoidtdUViNyfk1cQN6m6yohfZBNAJpJfJ7uYEcTbek5ALLWIm0SByOYaxFckLKj7Hr16BcvPDLdIsUOZzQ4UBA3icbS7FE884QQ7y615kZs1HYFI/1TUn7A73sUtY/EGHz+4ZjMpEHFdI5rKs0CXN7ZGP/JIyK1YkbBEGCL+IoshFsuBLnRJUYT47+1xmgjs5MJYwQpIqMVdLujJHIA1NlHcRcKPjWAI/kSByLt1rFu/EZ8VCcTke/B+TvaFGZwRZYhZQkLKK4kCEes/ArUslz8LjfN9gQQzxh1WznQE4ix3XT/rYzOKfazKd5I+IwK5IiCBmCvSek7OCeDaxC2FJaGqBSsVrsmXPMYwseBGIygdq1hVBSLWHoTJ0z5hRK4vUoi0atWqzB2+ZQnEni549naRGQXUE+f0y/9S86y33nohncxVbjl5y93suDVvrIaLOWr/7bfeGuIsKytYQ3E94gbOREkWiIiW1j7x079YeBIF4lRPQ7OLx3y+5RYsrDyRQMTNSHLu+93F/4y7/CgIqzbuhn7DxchRLna2992tUfvSEYjspC6vP7EgEteGBfRCF64IeEIB2NxQ0+PZqutijvgSV0lanvJcqcn9gLhBTFfm/idR9xgXRYc5n6ic6mEM5My81S2Xm3iM32iPzSNDAAULLnF/e7u18BR3M7d1CyPCr3OXLjkRiPPnz7drfWFEGqqW7laubGNaokBkIxeLiJvckkjBMvyujyM2hn3h4RzNmjULu9cRrrS9hccUb56CizniRgwjsbypbmTKxLuje4hAVQhIIFaFmj5TEAQIMscyUp08baz4+/iGDnatHuBCB7ctEyqxUpEow0qG1SHRgrKXfwY3JS7Ft9z6QczbR27RwArD/Xq6xYXdoMRU4f46xi1LpEmpXadOeFZZBXfdPu46u95dtpELlB21V1x2WYgHw9WH1eQ0jz082y2fpOngeQilJ/yEB3a8suv3Nhe9xE4SC1aVgkuWZ1W24YfNBlilKrsu1Tp0dhctuemwCnFW8VC3DnO6CNZd3JmveWzaYHcrf+DuY4Q7Ezh5HM92tzEuQ4TZnb7BAvHQwzdREFvIzmzy/SHYiNPEZXyZpxW60Z+xvLsQD3dR075Dh3At4i65YKm62gU44pLNLuX1J0KM2EbuQ5wjqYuIgUSwv+Zu8OPdcomVjfi26hTEDO7iVK2IIx58MOyupT8rK+1cIF3r7uUObrUmTq+PWw+xovV0y+xpp5wSdtTjPsWFT35ONqRs55Y4Eq53cIa0Gas54/5htyqSs5LYQqxyG7uIe9LHKKKyn1sYieNFpLOower6rsdHRtc94X2O4INnefcgBpfxzYYRwg829Bjf8rwIuLg39fvt6R6Bi/ydQdz29MUbC5stXchh+WVs8Hmskbi++TdhJVgQN/YFXSu/P+9l48aNKz1FhYUNCcgzla+zsn7T70WgqgQkEKtKTp+LPQHcWHyZV7dgPcHixA5Ndsviro2SbCM2cDdhHcKNiuuVTTGv+6S/kgsKrIQIJax/bT2GaTUXLIgaAt7ZHYuQwQ2O4OG+WFjKKtTh2WeeCRMzn+3ssYtN3UJI4RxYRCi7tLknbkCEDveut9xytr6Lp+Ye44V4uM2tf0yYiNt04ggT65SqZfAuj08jl151C/Wm7SSn/sctccu46EVIr++WHI7ogwfWOxYEWLRau9BiQxKfg8Pv/jsmdPomygGJYItOCaFP2HwTFY4bRASzuKB/EaVlJaRGjLO7m5267BRn5y4Cr6z+RNwMdTGEaMGaiEWN9EUsQO50TjwrsQ7VYUYsIptIUinp9BHvE+2jznN8MUPewCiJOnGMxOax67iru5GjDWFY1+k72CCMXnFLPMm3YYzlFhHJu4HQY5xigXzSf7eCj1EWQS+4RZRQgu3cqktKHc6CxjLO/0kPVNY9EKyksMGijBeBEAIWALd63GT0zkRs6BfeH95t3hcWA1j3sOQznlhg7O27mCNxSbYCrItYpYlBjI49xFPBeDjEFxR8R1RWqF91PBuV3V+/F4FMEJBAzARF3SOWBO71UxeYjFQyTyCVPHHin3nuqdzxJd9xi4hKxUKMaM1UCEAqdcvFNQi466+9dqlNKYhQdkOz0SQOBVGK9ToTCb/j0B7VoTgJSCAWZ7+WfKuw6pAHraq55UoeYCUAiG2sKNBe/PM3ghBD5NWsbCMRVm9i66qTmzJ/rSz/yexQH+Bpdfq7lZzNW2yUwVpLnGVVreaZbiduazIPRDGbmb6/7icCmSAggZgJirpH7AiwS/VFjw3E3aSSeQLEPpKupbyCC5fYTPHPPPvK7ki+woke5lAZe2LtcL1WJT9oZXXI9++JEcZtjQsaq2G2ziuvajtxvZNnsxjZV5WJPhc/AhKI8esT1SgDBIgde8aD3jN1BFkGqlRUtyDerLzNNDRU/PPX3QjE9z0JdUVJr6kdrthP3NqmI+By31cIRHJDbrHFFrl/uJ4oAikSkEBMEZQuKzwCxRhfFZdeqMyCSD3FPz+9xQYbNt6wMamiwiYehH5FluD8tKD4n8rilY02bHRREYG4EpBAjGvPqF7VJpCpXczVrkiR3QBhMdQ3AJHCp6Ii/vnpeE4OOdA3Z3FecGVFfVQZoez8nuThnOOsIgJxJiCBGOfeUd2qRYBUGqStIEA9LoV0IN+5C5AdpsRJfuMbCqKytgfU1/eULSS7/sHTtZCfjdQbpK+JUyGf4mKvUGXuMTYJkQ+PE0PiXDjLmpQ5FPIl4h6ncEbyun6yRx1PqUNf8DuSJMe9cFRcYkLriurLbnRO/CkES1aUpJr2sEjhHHJiXTnbmPRPdfwsaFISxb3Ichv3HlL9IgISiBoLRUuAiZ6NEpXFYuUKAIIQl97BnsyZXIWIRSboi/w0jYsuuSTssuTn7AA+zo+OI/cebsLlPJchCYbjUob4+bmHeBsq2xHKBgHyEMbZhckigmTeUZ5D8ub19vx7uGg5vo90JOTR4wxnkjaTliROfZE8Jji7mDFELr9UCnkjcUlzZF6cCyca7e7J5clLiMAa6DuUcdHu5KliOBeaftnfdy5P9N3BfctJNB+X9r3gJ/iw8CCJt4oIxJmABGKce0d1qzYBjnpjYomDheSE446z8/0YLxI7R4VTLxBRz48du1RbEYhXey43LIgcx3aA7xhOTvJbbThVuMFUT4RMMmSYplIQWIiv5LOiU/lstq8hGTKnryAEoxKSWLu4OtFP4ui7//7Ghg+OYXvI+6jNVlvFqi+S+WDlJPdkusnJSRi+qyd0TyXBc7b7pKz7syDh+Em8AZRPPIUPp7h87LuweT+w7JKcnpRWY0aPDj+LThrKR30reiaLDeqos5jj1jOqT1kEJBA1LoqaAC4ojhNL9WSJbMFAiHAyw+V+LFti4VgxjuriCLaocOLEuWefbZddcUX40Yd+zBinY3DEXD4L4ukqr9PJp55aqfUwqidW0kv8+LJz/Li7yiyOuW7bPi4osAxiQYwK4oPzrV/2/lrTXf5YoDme8AU/DYf/x6UvymLF6Rw7dOy4VHtSYco7wvna9GvcClb3/fyscY7hiwpWz/aeuoa+Y6GCRZGTdFh48e709p+N8fOOo1Nz4tQm3P9YOuvXrx+naqkuIlAmAQlEDYyiJ8Cxdxwv13rzzfPW1pP8rF2en3hqBS7YLTxGjzN5cZdFZcKECeE8295+ZjOFo+04K3aCu8/yGU+J5YN4yHTPVsYK94GL3F123TVv/JMfPH36dNvTc2ROdCtiYrnl5pvtDndZXnDRRUZs4iyPB93HRTxxbnHqi+T2cAQdsa0dXSBWpUzyY+LmzJ691Disyn0y/Rk2c3BU5c0uYBML519jWbzDjylMfHe4pq8LSo7YrCxReKbrWtn9SG3DuxxZQiu7Xr8XgXwTkEDMdw/o+TkhgIVkdxcEnJmbj4JV44gjj1zq1Api2g7zs1vf/+ijsBEiKtdcdZUd5GcYJ4rBbf2sXiwm+ToqjHNtsTRVNf4ubomBsQxeftll9vSzzy41HBAXbFg5/IgjbJy7/UnVc5sLkcSUMfnui+Txi0VtvB+vV91dsVi5sfJ2cJd6XMplHpvLecnnnX/+v6p0ykknGWcgP+KW+cTNKScef3w41/noY4+NSzPCYoPQjDgtkmIDRxWJLQEJxNh2jSqWSQLEZxHvR+LsfIjE7h5Mf9oZZyx1csKNLvhe9w0CD7gLPLGcefrpdomLl8SyncdfXeFWk3xM3hxd9o1b3Ko7uZH7jck+DhsiEBaMh0c9RjIquCnbuJUXQbhjp07hxzt16WJt27Wzi12oRCWffZH8Tnz99deGhZx4yUyU0Y88EqztcbG+neehF2xAOeOss0Lz2EQUxUoSvrC3v88cV4fFNyonn3hicLMTRxqHwvsz7auvYhsXGQdGqkM8CUggxrNfVKssEIhEInFLuU69ctCAAeHoM1KKROVsn/Rq+H8u9Bi9qIx3q+IMT32TvBNzo5Yt7ZnnngvpcXJZsPyRXmRfd7Nmorzy8sv27Tff5H2nKal6jncL00uvvLKkWc8732OOOsredXc4O8cZL+1dHHJizPEeIhCVfPVFMn92LH/qruHK8lGm22/POYc/fSd9qhuR0r1/OtcTs/fll18uid3Fokt/sBGFcp1v5MI6998bb1xyW3Y4k7lgH7cG57uwKCKbgk50yndP6PlVISCBWBVq+kzBEmCjBTubt/IdqS1cdOWqkN7mWxd+p5522pJH4sK81C1Tw92CuOpqq9l3/vtrr7nGLr700qVczj/99FOIq2Kncy43euCGxWKTaYsf8XKk+jjAJ3KsVfkoxIJ13nFHe+6FF6xevXqhCuwyf+edd8IGFTZHXOkbcjjPd6j3XeTuz1dfJDN6eORIW3Gllaxbt25ZwYeAfstjXgd4wu3E8IesPKyCm3722Wd2pr8zI92ySTnLrfDNPT0MMYb0IRuNTnCLIZtzooK1/i7fzb3GmmvmurpLnsfi4p677w6pbBLrlrcK6cEiUAUCEohVgKaPFD4Bcr+RHoO4rcgakc1WsbsSK+J9LjYST7jAosbuZtxmq7lIPMCvwXqVWEhdQpoe0njkovzyyy/20IgRId6Q9CLZKGzQGeG7bhHp+XCb0yZ2t9f0ZNjkn2T38jgXi4t8R2yUEqml1w0Gif2V675IZs/mGnI34u7PtjX5559/Dnk72/qO4XzFvtJ+Nngd63GFtPdx353827x5IVSBDUTtPDZ3+x12WIJpyqef2hDPmXilx/Hmq0x2qy7xxbyvLPxURKBQCUggFmrPqd7VJkBc0P3DhllPz6lGHFO2C7FIH/uGlP369k35UZyqcq+71U70gPxcFE6nwIqGdS8XqTjedisVz8P9nphuJhdt5RlYbNlZ3rBhw0ofmeu+SKwQydNZSGDt7OE5C1M5Rq/SBqV4wVgXzoQZIKQbNGiQ4qcyd1mUhucEfwcQ9OUV0t1c4bG7iMnkRVbmalP+nagnOU0Zxzt3756LR+oZIpBVAhKIWcWrm8edAC5nkjkT7E9sU7YnQEQiJUqbUhEfgvBx83bp2jXrruWvPM6Lo/G29XQ7lR2hl+k+ZWKnD2bOmGF7uys9232QWH8YPzpmTKXW2Vz2RWL9sDyzcYQNNPu4tZujGPNRqMcjo0aF2MS9vB65Dg2Y7Sl4cPd3dfdxeQVr/BZbbpnzpPjEGDKGzL9L9vBNM2yqURGBYiAggVgMvag2VJsALk9cd3+562oXD3BfeeWVq33PQrgB8YDkmVt77bXDztVcWqaS+dAHbBRhwu3o8YH52G0elz6DAeMRd2o3t0blw7paFguEKosWBCM7vXMp5uPSN1E9CMVgUUXB5V/KLOLWN6pPZghIIGaGo+5SJAQ4CuthT847zydC3ETFel5q2IzhcVLki2O3aj6FYfLQYfMB4uj7mTNtgxYtglisyLVYJEMvNIP4tVd8Z3Wd2rVD6EM+E6NXxDVyef88Z4619qMU2/lu71xuoMpnn/PuEMNc3+OC9/Q4w1yEYuSzvXp26RKQQCzdvlfLKyCAS5GdtmwK4AxkTqjI527OTHQWO3Of9rQbnNLCucL52hySTlumTp1qr7pgqrnMMraVb5bI1qaZdOqU6Wt/+OGHYJXDOteseXPbwTddxEmwV9ZedjwjmnCtIubjeO52ZW2o7Pd8D5Bv8g+3cnM0Jpt2SkUQV8ZGvy9eAhKIxdu3almGCJCehpMqcKvh6tumffslyXoz9Iis3WamW+GY2Aigx23OBF6IrjAEO+34dPJkq7XsssYOY44ujHYcZw1gFm4nPa/wAAAgAElEQVRMWyZ7Oz54//3gTmf3elePM81XfGGmmsjOYvqII/8QT5xusqkfJVmIMXm0JdpUhihcx3dQd+rcuSDbkqn+1X1Kj4AEYun1uVpcDQIzfCMFO32x9uD2xAW9WevWsbEuzvOYNXYGs+v0H8/FtuZaa4WzX1PZpVsNLDn9KBuLiJ2c6O38zUMClvWkyRyPx+aaOIosXOaf+OYkUukgCLEOtvYxw7ip7a7kYixsPPrMrb9YFhFby7qoJ3/hZi4Y87HDuDLGuMw5TpIzqVkI1vb6suGllZ/BXSrhDZUx0u9Lj4AEYun1uVqcIQLRJPiu765EBFBIQ7Keu6SbNm2a1RxoJOLFVfyVp+rB/UVdKOwuxX3MppNSKQhGUha97xY5YkhxR7sJK1hK1/MYyzU9YXIudt0ihGa49exr7w/+ptBPtXwhsdHGGwexgVAqxcL4/NyTXn/gp9QgwJbx/qGPVl999fC+kNQ6F5ZGhCAWTsYL1nXqhbUToY54JS+nBGEpjlC1uSwCEogaFyKQQQJMfkw+pM0hke+S4iJmsf8HlyiJubGi8O865aTEQHAucGsTFkEmNf79j98jEoKIjsZNmgQBhBjUpPbvTpzjGyhI34MgQDgmF/oAwUaScgRC3f+dqFLWcMAtPN/v8bv3Azvd6Zfkwj0aN25s6/rigFCEQoojzOArkNatfvzxxyV9xDiPShTfh7CHKxtBEJC169Qp9/68e7iDse7zb/5OLsQRI0Y5ajMuO8PTAqaLRSCHBCQQcwhbjxIBhAUiD1cjExj/R/wlFoQjE+KKnvNuWZ8cmSCj4+BEMHME6AOEOOIPAcmxgvQJrvmoIFDog0igIDCwfsXRlZ05MvG5E/1C/yxE8Pm/eV/YbIXVOCr0DUJ/eX9vlnORT3+xYCrE+NT4kFdNRMCN/P6i/f83TUREQAREQAREQAREQARKnoAEYskPAQEQAREQAREQAREQgaUJSCBqRIiACIiACIiACIiACCxFQAJRA0IEREAEREAEREAEREACUWNABERABERABERABESgfAKyIGp0iIAIiIAIiIAIiIAIyIKoMSACIiACIiACIiACIiALosaACIiACIiACIiACIhAigTkYk4RlC4TAREQAREQAREQgVIhIIFYKj2tdoqACIiACIiACIhAigQkEFMEpctEQAREQAREQAREoFQISCCWSk+rnSIgAiIgAiIgAiKQIgEJxBRB6TIREAEREAEREAERKBUCEoil0tNqpwiIgAiIgAiIgAikSEACMUVQukwEREAEREAEREAESoWABGKp9LTaKQIiIAIiIAIiIAIpEpBATBGULhMBERABERABERCBUiEggVgqPa12ioAIiIAIiIAIiECKBCQQUwSly0RABERABERABESgVAhIIJZKT6udIiACIiACIiACIpAiAQnEFEHpMhEQAREQAREQAREoFQISiKXS02qnCIiACIiACIiACKRIQAIxRVC6TATiTOD777+3xo0bx7mKqluJEPjjjz+MPyuvvHKJtFjNLDQCc+bMsRVWWMFq165daFXPaX0lEHOKWw8TgewQ6NGjhz355JPZubnuKgJpEHj11VeNP6effnoan9KlIpA7AozNfv362aabbpq7hxbgkyQQC7DTVGURSCYggagxERcCEohx6QnVozwCEoipjQ0JxNQ46ao8EFiwYIEtWrRoyZNxB8TRJbBw4UL75JNPbPHixdaqVSv75ptvbL311rNlllkmZ9SqKhCp83vvvWdrrrmmNWrUKGf1LcQH/fbbb0uqXaNGDatTp47VqlUrVk2JwztTHYH4559/hvG42Wab2XLLLRcrtnGvzF9//WX8iUrNmjWtXr16sal2RWMz8XfUmbpns1RHIOKe/uKLL6xNmzY5/Y7PJo/y7i2BmA/qemZKBF577TXbd9997bvvvrNzzz3Xfv/9dxs3bpwdccQRNmjQoJTuke2LPv/8c+vTp0/407x5c7v77rtt0qRJoc65LFURiNTxuuuus913393uu+8+O/XUU22DDTbIZbUL5lksVB544AE78MADQ6znCSecYFOmTAkLg2uuucY6dOgQi7Ygrg4//HB76623wt/LL7+8vfjii2F8nnnmmTmpY1UFIp97/vnnbaeddrJbb73V7rrrrlguCHMCsQoP+eyzz+yoo44KDA844ABr1qyZPffcc7b11lvbZZddZnXr1q3CXTP3kXfffdeOO+64EH5w0EEHhRCEFi1ahAe88sortscee4TvoiuvvNJWXXXVzD24jDtVVSDecccdwWix9tpr20svvRTqWsxFArGYe7cI2sYqjdUkEx7l/vvvt/79+wcRttFGG+W9hb179w7Wt5tuuinU5Ycffghffk899VRO65auQGTF3qtXLxsxYoStssoq4ctuzJgxQTCqlE1g7ty5ttJKK9kpp5xiV1xxRbjo0EMPtSeeeMJmzpxpWBXjUPr27RviUbF0YOF8+OGHbe+99w5iAfGV7VIVgfjpp5/aOeecYyNHjgzVO++882zLLbcMY1QldQInnXSSXX/99aHvV1xxxbBQXWuttezmm28OC+t8FxZYjz/+ePieTPYGbbvttkHc5sJyXBWBeO+999qPP/4Y3n9K165d7cEHH8y6mM1nn0kg5pO+nl0hAb7kVlttNTv77LPt/PPPD9cyye28887B4oVQzHdhBbzJJpvYI488sqQq99xzjw0cODCnVUtXIGIBQxhimaWMHTvWLrroomBtUimbwKOPPmosCGC04447hovOOOOMYJ0hrICJOA5ljTXWsHbt2tno0aNDdV5++WXr2LGj3XbbbTZ48OCsVzFdgUiYw1ZbbWXXXnut7bDDDqF+vPMIiGh8Zr3SRfKAzTffPCxixo8fH1rEQpDdunwf3XnnnXlvJZa37bbbzoYPH75UXWbPnh0WW9GYzXZF0xWICG3GKK7lSMDSjksuuWTJmM12nfNxfwnEfFDXM1Mi8NBDDwUX85tvvmlt27YNnznrrLPs6quvDu69ddddN6X7ZPOiI488MrjDsL717Nkzm4+q8N7pCMRff/3VEBEfffSRrb/++uG+tAFrogRi+ZixwGDBjixzXInVg/9j0Y6DBZE+JX4vEoP//PNPsGizsMLF16RJk6yP0XQFIlYjxMG0adOWMOS9J55XAjH17sIqR/jD5ZdfHsJFKC+88EKwGmPpgmk+C+EYLKaxxGFJTCxYjn/55ZechQ6lKxAJz2ARiGEiKsRsU+9oUZNPttl6tgRitsjqvtUmcPDBBwfRgnt5/vz59swzz9gNN9wQ3Lm4zOJQqBcrSb78cOvhdshHSUcgwg9XcuKX3Y033hjy1vG3StkEENOEExCHxGR8++232/vvvx8m37iky7jqqquCC+zoo48OGxQmTJgQ0nkQk0Y8Yi5KugJxr732CmEkWLWjwrt/4YUXhthJldQI8D4jvPjOJPxm4sSJYUE9YMAAu/TSS1O7SRav4juHPiZna/KGOBYIeIl4v3JR0hGIf//9d/AOnHjiiUvEIJup8CLMmjXLGjZsmIsq5+UZEoh5wa6HpkKAl7Jly5ZBDGKd4d9bbLFFcKHEqRCXgiVpxowZ9vbbb9vGG2+c8+qlIxDhiVsPd2lUEBV8QZflgsSyQ4xd+/btc96uuDyQzUhs4MFizORbv3798Dfjcdlll41LNcMChb564403wkR82mmnGZsXiJPMlcU9XYFIGAkbani/KVi4Ebh4CVZfffXgxuvSpUsILYkKi0Xc6IRJqPwfARYCbOIjVATXMpkUcDnnSnRV1g+77babff3118FzkVyINSWEI1clHYGId4AFIJbPqLDwIqyId628UgxjVAIxAyMSqwtfaCqZIxC5I4jnYwUc90JsCmIBiwc7mXNd0hGI1JNg9iiGE2sY4oc2MFknFywRbCKIQ8xnrrlGz8PqyjuOWM6V0Eq3rVizEUy4wqPNRtOnTw/1RdhGG6nSvW+616cjEKONP4kxnLjtsIQSWkJhIcP/yRIQFf6/3377xSbuM11Gmb6eBR9WuV133dX4zoxjadCgQbBks4kmsSDACN24+OKLc1btdATiY489FiyffD9GhfeJ2M5os1pZFS+GMSqBmIEhmc7knIHHlcQtSB2CiMEql4u4qXShsoLEZUe8V1RYwU+dOjVYEXNd0hmDxHaRQgQLDIWYJaw2WGooTDbz5s0Lef74U5ZAxO1Cugcsu1jQ4hB/l03mpN+gb7FqxbWwc55x8PTTT1v37t1DNaO4NCzDxCXmoqQjEHHRrbPOOiGFVTSGqDvvPrFzjDF2M3/wwQchzCTaIFDW5Ms9eCdx/zFuS6kQX0rGBzZ/IJzjVuhnFp8Iwf3333+p6rF7fZ999slpmEY6ApEsAEOGDAkhThSss3gPYI7oJc6X70M2VfHvKP9tMYxRCcQMvEnpTM4ZeFxJ3KJbt27BfF+WOyIOAHA3MGElpo7gi5k4PjZ85LqkMwb33HNPu+CCC0LAOIHh1Ju4pch1z+/Jp8aOQqzjyQKRL3tcfsQ7EeeG2MSlGbek0ZnqA5IPMxGw2YMY2LiWY4891m655RbDKhclSGahRfgAG0E6d+6ck6qnIxBZjGy44YZLhDdWQ9oQWcEYV1icCOEgxhdr4mGHHRYsiokWRCZwBDC7ynk3yamX60wCOYFbzkOIMWQjxU8//RTLtCu8Q3w30peJOWzZHXzMMccslQUiFxzTEYjMQf/5z39s1KhRoWqMPb4PiJNl9zWxiFi9yWhBeBHXs2guhjFalAKRL0N27aHm+aLkb76EcP9lI1A7nck5cfDjRqWeCCFihYo52DWdlx7rHDvDiJ9hF17cYg5pCxMRmxWYyEiSTG4vvqTZBZwPi2c6YxCm77zzTog3xEWC+4RYLwoTNpsxiGViRUz8UlkWRFbQuF5wTRM7xjuHJajYCqfkkEPu+OOPD6IZwRXH03yIM+SdQSBgRWLTB31Cfktcd4j+XJV0BCJ1IqUNrlEsTIg7YmGjkzTYqIKbnHeNVEwIQdqXPPnyMyynQ4cODZuGnn322byEeuSKceJzvv3227BgI/yBUBBiD+NYeI8Yi/TvNttsYx9++GHYKEf6HbIq5LKkIxCpF4sRFodsSvvqq6+WxGrzfck8hYWb70MWKSxkIiGZuIgpxDFalAKRzmHFycvCCoUveVYtmITp4Ewn4kxnco5eAr64+RJDVFBHVn+JQbC5fFni9CzcQwjEqLDq5AWMW+HECr6ImQxZMSKOSHPD5oV8lHTHIJYZAsaxyCS745hk+dKOcqklC0TGK7FEiEhSvOCqRqAUY8FFO3ny5CVNa9q0qf2/9u4D7J6jqh/4IipFBKUooBSNFMEAIZRECNKMNBUkBFBKICi9g1IjhE5MQgKxoSIkBqVIlZ6EjiDII72DVFEgKl0Q/H/mz/kxv2V3dve9e8t73znPkyfJe+/dnTlz5pzvKXPGP5tGbh2i54JEcx3yUn+46vT/VIDIgWdc7R1AJ6fDDjssnRbnkDiRK0qjJrkNEI8++ugUMfR9p02VfuyVCKKoq7RnUPTo3DQZNR6HvZRCuLbSmirdWEfmYSpAVILjoBdbpEQniO5XmgPoOvzHSYvT+Nsgo1sJEKF6ERFpSjUPiLGzcfSrm7s7/1TjLCxNEWrfEtEIHpR6u0qVAzvhwFQZ7HuHk4T2R7TJEHFvA0QAUqRKnZhIqn2VnzDdyfjrb7aHA1MBYt/M1cE6Of+e97wnAQs9EelzgLdtfBluAQDZGIeJpANXeRf69qze3pjJVIDYxxVRRQ62rJFSG1kGGSVBqG2Q0a0EiFGwe9ppp6Wj/0gqMK5Au/GNbzzrLphqnN1HieI0lzYpTqB94xvf2HPF1bMuxB5+2FQZ7GKVOiFpZ0XkThZKq6I2QBQ91Lhc1NSdqaL1lSoHggNzAUS1rmq/RJk4JK4QjNRzbnw/9rGPpUi4U9pOmvreXjukUqVvGgfmAohKHkRwlUK4HpIcBr7YBhndSoAobSsdQamo6xMeFk0UynYp+Nye5RTjLBXA21AH5uoeJD2kqBpQrFQ5sBMOTJHBqc9vA8QoxA5jPfV59fvbzYG5AGKJS7nxZaQdtnrQgx603Yyts5uNA3MBxG2X0a0EiO4dVTfkaiEnTaV0gTGn+ZbhWU4xzppr6icnmhkU13Sp6apUObATDkyRwanP19rFQQFtR5xsdo2XOlHRw0qVA20OrAIgOnXvVDYnxQEcDnZkZuqKVA4McWAVAHEbZHTrAKLiV81iCYCw7ypoinHW5V5ERi1kkJovRdWrGu8qeJK/Q9RU+rzS8jig5YIamGWTvnRqfBnmnR5+0AJCk9l1kTYw5lFpORzQB5SOy1tALedN///UffTjnDOirYZsGcGEMXxwaEfWq9LyOKB7g0OFupssm5Ylo7p7zJ0NbfNi6wCi03AAFy92VbVRUwCiHl4WNjqwM1ZO5inE3taIzOmnn54iT5WWxwHXql30ohdd3gtmfLKGvhy4dZHDNSKilZbDAc6gf3Qg2K2k64WypHWQ2stVgOt1zG1T3qn7Aid1E1tWjeWRfqHLxgxbBxBdgeNwCgFY1fH5KQCRYdQeBVBEJ598cnP22WenAldEOWi0rF2DPolqKKXKK1UOlDgwRQYrJysHlsmBVaSYlzn++uzt58AqUszbwMWtAohCuXqUadyrAfWqaIpxdjhFD0SpZvePOlDjtoo8VKy2Rg8vTTaFwNV7OeVcqXKgjwNTZLBysXJgmRyoAHGZ3K3PnoMDFSCO4+LWAEQNlk888cTUTV8KVxrJYZVV0FTj/MQnPjE1hRXh1OA1j3RqduuUqIMBQKMTz3qALeMGmFXwpr5jNRyYKoN9o3Ly32Gprqi1v7udw+0qeh+6qq9S5UCbA3MARHXLbqVwQ4WMi/5yXTdNCQroJ6vm8Rd+4RdqP84qjqM4MAdAdIONCwUEemT8XD0addl0pZti2qTu0U1Vu4W2BiCuk+FzGWdzoFzV7LmWyLVtOrSv4vDBOvlX3704BxaVQU2JXVHmRp+rXvWq6ZafnFwl6MaAOGlPIT7lKU9prn3tay8++PqEreLAogBRP8673OUuSQ45yU960pOaAw44oHn961+/H5/0PzzyyCPTaWayuaqSoq1arD06mUUBos4j6lTpPx1T6Ec9ZDk1Dhm5aEB94LnPfe59HHZZBzC5jqtYd7rMFSDulHPZ7xY1zvkQ1CLyMNy04iCLuyvXdX3bDKypj1gRBxaVQUqNMRY51FMuB4ii8w7AaDYftxC5/kz9rMNVlSoHcg4sChCVBzm4F1caKsZ3V70DfUEii6LYz3jGM1Jz4kqVA1M4sChAFNE+/vjj9wFA8sleO/sQkcM8g+lKPucO3vzmN08Z5tq/WwHiDEuwqHHOhyAy4/YArXoOOuigHbcSmWFaK38E78pVb27qUCaAABeHdm54wxsmo+GidL0k3SN89atfPd2UE/Wb0vMOKGmz4R5aYCa/N3PlE/reC43ZBe7ukM3BPpDlpL0xluY1ZtxzyaAxOhGdA8ToDOAaszgp7U5z8vmOd7wjRXq2kdxX7T73/E5f91A7ka+PqbIP9cGveMUrUr9VNyiIZgXpvyoF9YlPfCLVEruhZtmnDsesAwAn+iYlFqS0QN82PVqdPi7Na+gdiwLE9vNd7XjGGWfsu6teWtkVfPSBz/Yqae8jYgUoK0sKIp/W8HrXu15qA0RfWs/zn//8KeKat3ZRMuKO4fOc5zwpKKHX6SYQWbRX8ru56Zx3vvOdae8NzWtoDosCRDaG/QnCX1fs2VdKItr0yEc+Mtl094TvJqoAcYbVmss46+EIMPCO9yJJczqMI70eRllaiQIEHoFCRpjik3J63vOelzbls5/97MQuYFHo/5a3vGX6LiXjQNC6AQygAFg985nPTCABxXWQrgYDyErzGiMLc8lgF0Ck3I477rj9elkCFO47VwIBVGwjASUck1zpH3vssek+YDXCDpdpGs6hUXvEORFVECkAGK985SunVNMhhxySSkeATRFXPfbWSQH41VCpJ0UnnHBCuvoTmHVlXd+8xox7ToDIcdLyxd3KUYfN2brZzW6WbsuiF/QMdBf43e52tz3lUFsLKU66kG5BajcBK7fLuHLwVre6VYpaOfBobQFCZSIujvAdPJTOBzb9v8OT+Lhuuv/975+A64c//OF9Q3HlIpDFKSjNa8zYFwWI7XcYKzlld7p6E9IDzkdEVHzMGDfhOxUgzrAKcxlnkQjAwYZlfPciUWSAsg2H7n3ve6caD6e/3f9LITJmiMLjrYliMca8YJEvABIdc8wxqXA9j5Ssi6eimWqkGDrkEJXCenUppXmNBbdzyWAXQAR4nvvc56b0SZA+d/itPgyY2EYSvb7EJS6RvH7rhQ488MBkbPHkUpe6VKrbZLgQI+22JqDFwQnRRLKs4fK3v/3t5BwwTGPXdFk8FWm/+MUvnlpr3ete90qv0ZsS6LLfSvMa0zx6LoAYAMYVpPa0va3JOpAOyHBObnSjG6W7cKWZ3R2uFnEvkQgimcIjvBEt5Fx//vOfT86xkhH6MxwBn9nHnATySZ/iJ7LHyS1ncN0UGQqpWYfhjJmTrfwACC7Na8zY5waIbAwZzW9Ii3FoV+dzdmq30UYDRAIOdW86EWKGY5OJId8NJDrg6iwRKulYqWKnvp3+kjZxB6s2RkG8NsabcbjOda6TPDies1SJ/6c0l0Eif9IdQ0QJX/CCF0yKW6RJNJGRBTwYM8BxaF5D7/D5MgEi/qr1ygGiCJmIjqjTfe5znzFD3JXfcb8vwCPdLJohrUnGrL0ohnUNEskSTfWZOmIgTOrP90QipeSXRcYnIlgiN424kg4BggyXaFLMS7RO9qI0r6tc5SqDU5gLIHoRkK72VbcH9kBdF4BunIBPkL/RHbIQe4n00JV1cUhCFJXu47g52EgnysAEAMSXN7zhDalkh6xyoB00A7Y0BfdPlPbMzUP1o2Naz7Gjod/9t5S4DMbTn/701BKO3hVdLM1rzNjnBIh4yjnk0HQRR4zOdwBwt9FGA0QRIi1eNp2klSLCsKljZaB2A4m0MKwUl3A8pcUbZvzUzkg3q6XJSUqZh/bVr341KRLe8Zve9Kb0PWk/inNu4uGKag6RtLdTa05mxkEPgBCgMy/RpqF5Db3D58sEiNZClNAcgiLF7MrIOLgyZpy77TsKzkWnrZPUFiMHqIjciL7d5CY3+YEpMQiihH4jDS2tBzSKhIiMi9DNTQCCtHeJRLCBBqSGSh2fyJMxmhOwOGZeQ2OfEyDGuzhadBgjyykUfTeHIAZadMx8LnKRiwwNcas+B/qlla2jf5OxANKRoWhPWLQwMhpKdKy/aPejH/3o5qEPfejs/OEYczKHiFMvo4JEMnX0sHdE58gAsMgZKM1rzO0ocwFE8iZNryyqLxjBSVQXmgc2hviwKZ9vNEDcFCYNjWMu4zz0nr3yueiGwwAMKcXCMEfESpopvwJLhNnG46ExxFG7yEMWsXMzzaacHFPbIz2i9UHU/AzNa2zPrLlksCvFrK7TQZq8Fg9PFZADiuu8V3kVe0IkQwsLURnRUmkkcofnnBIRG2QtX/aylyWHBFgje1KgiLPL+IkwbkoaVF2U05ci9AwvZ2ZoXmM6KiwDIOKbVL5ol1PNol+Mc/SdA3h8xxrMeSfzKuRr0XeIYit5cOhNdE0kGF84daJbDlAEiX7LeHFsyLPMjHImZQdO4T7iEY9ItcZjSgkWHffQ7x2Kk0ESLQR4zUvmpTQvZRJjaA6AKCpqLwPVwS8R7HyPiHIfccQRKVq/G6kCxBlWbS7jzIPTYkS9SCi+GYa36x6hDoZCkJoFDuMkm9QzwChCKBWink9dl3QT0AVM8dREtCg5UUUFw+rENoEoarJibUV8HLBBpXmNvUx+qgzyzEVqRWRzYmQdmmlHR3nwIrVRs8ZAU4aa0287MZwi05wWUV8GANC/zGUuk1Jgyh4Q42xdpWwdZAEmySZHB5gRsWPc4prNdfNNyk5Ux5ysOaA7NK8x4GsqQJRGxkOpbTXFDK+/xV3OItfAIRAoKwCUO5hh7A53IQD3s5/9bDo1vtcIf6SZRQ8BaPWZiOyJZDvMJ8rIaQYM8Y5exWu1m2q6nQrWtoqzQBY2hQQDOFf2kADAmHmNGftUgAisKnWwx9kajog+iPZyHDojl8AsWQyS3pcVy9P8Y8a3Kd+pAHGGlZhqnNuvVNvFk5eCooCBHGnrqPcBgtTXtMmhFkZnG0lU0Ib75Cc/ue9UGEOmxoZXzHgwZowEw4KkQvGRAWdkREiAyWWk9HbKc6DCGjvRGjQ0rzHvmiqDgKfIGKOL9DoUPRLl5KiILjC+4Q2LhgHcQCLwDcQzxnuhOTFgKHIhtQVYB+EBgIg3HBEnLEW48ZbRFmnknEh5WmORBL9fVl3sGDnJvyMFbm8wdFLLY+Y15h1TASJgh79PfepTm3vc4x77TocDOw5R2OcAYr6PlXiQVbWJamGlVaX5AlSOGec2fUeEmxPzoQ99KDkuQfQjpw74pxPxkxODZy5ioE/td/LrO4DjMkpydsprjhanVRrc/hszrzHvmgoQdcTwftFX2RQ17roctEnQgsMfxKabgzKV3UgVIM6walONc/uVd77znZOnF9EZqQIn9AAhylMkgjKMruyAE2PtszEe/QxTXPkjbEARNuH7NonGMMo84EjvxXd4awqZ1aGoYdxNkdjSvIYWYKoMxunaqWAFqEAM+l4hgBjIY1jbEVeRF6l3RN7a+1GkwefSeLupM8HQvEprPxUgehYnWcYgSCpUhFpWoNQWCG85MXut7rDNf6lOzonavDZJHwOOHBhZgzbZ0/SByOKY+r1N2fdD8yqNcypA7JLRIT7ENZDXvOY1h766sZ/vKYBowaRwbZQuUk9FSU0FXVONc/vdapNEAuOkMW9J2F8RtlomnnN+ZQ9vRtzKiXoAACAASURBVLi979TUxkrbiIEBvYqSRVsAvS6FNuIxe+4ri8rgnmPYyAlLb4mUiurXW2PGMW0nAHHck+u32hwArB3gs/9lUET4Kw1zYCcAcfip2/eNrQCICkGFzqVco7u5aIxQcDRTdspYDQGvVOTJ6daoARNqd7gBOJEyk7IUxctBWWnpFzXO6j6cfJTuc1JP4bBaB8/tIkpAr8Sov9kmsVQob83Ufd33vvfdpqktdS6LyuBSB7eLH64eWLrYQQC3HFUa5kAFiMM8musbggTSyxzq5zznOXM9duufUwHiuCXeCoBoqsCgAtxo8qnXk/Qk78qxfREAwEPKQjGuomifqcVwUorAqH9RoOs2E4AyUr5DrFzUODvR6vSoWgXzKNUsSC9r/iwFs5vSAUM8jM9FeXdTWnjsvJb9vUVlcNnj263Pjzuqd+v41zHuChBXy/Uqo9P5XQHiOJ5tDUB0Ik+RbtQDOfnqkIdIlBOvIoZxqbs6NfVAiqIVnqpf0VuL0KhncTBCmjm6zw+xcg7jrG+fprwa3gK6vMG4Wip/v787eGE+lSoHggNzyGDlZuXAHByoAHEOLtZnLJMDFSCO4+7WAESgTq2e+jUF9I79u7ZOWwQpZSda8wMNavtciyW1q8kqcKY+UUGpcD3AOLYX1KLGWUsR9YdS5PqoSbNKNee3NMRyGptTXQF2xy1z/da2c0DJwTbWpG77um3j/PTIdK2YfqaVKgc2kQMCSk7GO2VcqZ8DWwMQTVHvPLWIAKHooD5QTmhd8pKXTBE36ducRA4jSqjOyJ2e2smoP9RLb0znd89bFCCqm4yWDZ4nSqjFg95Lbt8IciLSSUnp5fbp3Srke5sDi8rg3uZenf2cHKgRxDm5WZ+1DA7UCOI4rm4VQBRBUVsokqiX0wMe8IDUANRVZ/rjOfiB9IMSoeNFSCk7lKKvVpxu1k3e1UMU3RjaiXFWdxinpV3F4536HSINTfXzEhXN24moodRXzb8rVQ7kHNiJDFYOVg4sgwMVIC6Dq/WZc3KgAsRx3NwqgAhYSS0r2gWuIvomeqgZrEMncYLZAQ/3qjoQIf0MiEnfOqSiaeyjHvWodGhlDE01ztLZ0sfauHi/9gTqCvWx0pdOmxutbNxzm5OmvJpw5g1Dx4yvfmf7OTBVBrs44pYa7ZPsGyf8+w5B6Rpgz1SqHOjiwJwAUQN3jcq7rpx0Y41m5dKEV7rSlXoPtykdItea7/tepcqBOQGi9ngajV/oQhfaj7H6NLLpzjzon5o3cZcd1Dy/TfCJMxObQlsFEDHVXYyihu2bR0QEgS4NlnU113xafSLSS0oXfn3OGEX1fXk39KHFmmqcKSs9Dl08H/SiF70oRTGlw0UWgcDcQJuTSKe095j7UIfGXD/fLg5MlcH27NXkckCUV1B2nCkOiuh7EIfKNVIUHcVXqXJgWQCRcXWbj2vj7nnPe6YDhDnR5T53L7MLBaJLRX6zj7ZlSnc4/xz+vd5Mu0rr9zkwB0DkUOuaopzNrSqHHHLIvhe4/QcovN/97pf+LkDlelI9j5GzDpwbujZIYMtNLZtUF7lVAFEdofSyVHNfD8FlbJJFjfMyxlSfuXoOUAgckXXQIjLI+VCfq+9k3BP8uMc9Lt0rGkBQdF4khsGlyCpAXMcqj3+nKJ5Db3Ev7/hfLv7NOSKIMkAOCYr6MeY5QNS8XASbQ+1zpGTIP/E99eT6xbpwgONTafM4QGf1detY9mjnAIiuSxU9BPre8pa37AcQHXI9++yzU0kY0qVE8IrT4lYbe1MJXNxk5e/uu+eobxJtDUDU25BXCbm//e1v3w+ZL5vhixjnZY9ttz1f6B1g0YZIZMDBHIo/P1HOEXBKkgfHE9uUyMDBBx+cxtUm4MphKUYtv6WHMrjwhS+cUhPSEA5VMYyuXZx6f/QiMki5SSlL2emxifCe4mOM87Ho16kMY68AxI985CNJvqzbmWeemdZKn9ScrK/2VGT0Gte4RvFquFXtR46KqwHd6d4mxsi+irX2uT3FcPmbCwJcvUaP+p4ISH4N3tAc5gCI8Q6yFy3I4m9qx5/2tKel1HPQYx7zmHQRgrIdaWkOjyzMOgDyEH/m/Fw9vVSl+5dFn+gUhzXbOlHPX+spQyWDNvW2sDnHHM8yTpm+853vfD/weLrI3/MMBsBF90R5i3mbk4waOzC264iXzQEQPYd+lBbOASL5w3/Oie4SiH7Xti6CV+39JApJnl2asUm0NQBRigGiZ8BWfT3bIsZ5k4RhE8YinUTJM8zAUxho4XiKQJ9LN8i4H1et3Lve9a7mlFNOadxnvW7qA4iU3WUve9kEqg4//PA0zDhdz7NkBN2eQ0E4Va/UwWGrKW1CFpFB97hKf0jrRZNyiphy5uErbQjaawAR0LCuykJ0EBC1EpmKPqQiASJUauTIpCgrYBY3Oq1LJksAUb9YJQTKbaJcxXzsPeuu/MUco6bK31760pemDhFjaNkA0T3totjSekEiNbe97W0bN2g961nPSm3L3EtMPwAOWprkHSHGzGM3fMeBRXOlXwAmwN6/rYE+wAhIBqCvdrWrJX0K0JDRdTvWJYDowObHP/7xBLyCjj766ORA24scBPO2Pzk8bIUSmBxQltZvmQBRmydOJCc73zOi3fozK2drE2ccoLRGm0RbAxDXydRFjPM6x72J72akHBKS3hTVouwo9gAq17/+9ZMyEC0GZvSNBK44B3lEZB1z6wOIxsLDPeiggxo3/CC1K7xJHj8AJhKgDlX0hgLULJ13uopm7XgOIIiEBTE0wMOJJ56Y6mj2MkB0PaeequTOdZgAIbm0VsB91Mnhkd6q4azm9XCrlscSQIzDfPq/aqeFyJtaPZEMYJcxdhMVUitNNt/73veOmsayASJQYK8bUxAACwTqg6sjBJDLwQKS3KVNn3DGLn/5y4+aw275EoBIf7gQguwBziKEroUERIAUGRhAS2ZCpJgOxT8R13VSCSByvAQCgD+gz7hllehPNXrWlcMNcHFsOQ26gXSBr645LhMgxpqQxQDpxsA+uLUtl1t/54AdeuihCRBvGlWAOMOKVIA4AxO/9whghXIXMQySUrjTne7U3P72t0/R4fbGoxApSYZhVSTdoVVRTpRVHtXwmegFoEVxHXvssUnhKUymOEQ8gC89LQHd3NtkBF0RqeZvDC0igwypk/MiSkHSJAAQIMtTD9qLEUS8ZYCRCJVOCWrcRLpF4vwtUnYOvAGSAMnYiNuY9S19Byjw3pyAIQaUzOUkbWdd7RcOFsdLqQYnDLDjqJgvABz1UaI25NHp9TEAa9kA8cADD0y1h3m7L3O90Y1utC/6qZ4rAJDIrjVx8FB0cZsowIgrWM973vOmqUnJcy5f/vKXp3uarWUOShw+4+Qox1pVqpnDaR1y4tjTO/mNYXSj9CvdCkzJbJiP8R911FGpNzCZBnzNL8j1tL7bdTK4a72XCRB1KBGBlwnKey8r1RCVbx+glQET2eWMbxpVgDjDikg75Z7CDI/cs4+INNfzn//8fTwQfbvFLW6RPF//LQISJ9B9yWcMgNTZqsipNGAvJ4axDQp48pQRA84Ii+xQgBSHuiCKU3qI4c5PtHkuYObU8BhaBCC6xccpTwYjSKpUX1CKN/pz+mwvAkQGKu5lZ+QAehEZIJCB47DkhG+Ufs63MWu40+8AeHe4wx32+7m/Aa7tdkRad5EVETc1er6nM4Ia7ve9731pDwEV+f6KBwMWgNcQLRsgAoLAbQ4QjI0eUKYh82BueT2XFmZqLKWct4kARAfLrGOQnr9sEtAsCgfU5+ADDzjVeLWqciyRaVHBnOwhNbs5SNXi5fTTT09fe+ADH5jWS0ZFpBu44mjbVyL5AYjjmWSCzPe158rfvUyAyHkEBv3b/ILw3P+37ZRIqkOBq3Iop8h/BYhTuFW/u3QOlACiKwalwdqemdA9b9S1ieukUorZuBiwAw44ICk2h1l4khQ7cCviw7AFAWiij2NvzFkEIDp8IfrpRJ6xIAdmpMSB2NyIVID4fYDI63cSUYoowD3nBUA866yz0mGBdVEpxWxMiuatK3DIQbB/OCQcMwYYEI56VIfGyKn2RmPS5ssGiJwmUZo85X3SSSelljdKTdT5mlueQqVXAHn1YdtEQwBRqQCZzKOtnAOt3KzxmPVcFr9KKWbvdOhGWlzqlRPNIVOjx1lTmgM4BklBKwVp9yLsG/syAaJxyDKIVnNMgugFMpr3MRbxNEc16e0AwbL4PuW5FSBO4Vb97tI5UAKINrVaDemlUP4K0UUWKRM1KOukIYAoygFQ8JgZ5ei1CYjxLNVeIsDDXEQAxkRs/GYqQKRgRYnU9wAAgKsTr0AsMhZpHanvnCpA/D5AdHLUwRUF8/iCpL/UllrDMZGMZcnrEED0Xm2NpI19l4Fi1IBdNYh6DIYhY+hEURmzrhOn7TnsBCAqKZE6bjtEXaeYAzBIN4ZDY6z2nzo8aXN9bjk3AYAAYAeHxkbkl7Uucz93CCDSIfY0h1Q0WerWLWOAlDruddIQQDQ2UTc6SrSTjkculRBR5CBEA3UlSEo+gMgxNBUgRucMkcFwnLyn6xSzv0uH068i84i+FSH0/TylDjCKkvr3JlIFiJu4Knt4TEMAUfRQ2kQ0Q5RALYpDAoDXumkIICqmlmamYBi3qPFScwngMYYAx2te85pUc+lU21iaChApVgY5apO0i+CZO6yi/tA6SOPkJx1FNSk59ZeiMYrGt52UAvSlmBkLYMQJemsvIiONKbo1Ftgvi39jACLQICIDPOU1agAuWTAHzozToeYp6jSGpgLEONHfPhAlGuhAggM0wEwOHjkw5giciwo6iILvEYWRdrXf1I4CwU7xOjyUG+cxc9n07wwBRON3xaw1dVIWUFGDKt2rxm+dNAYgclpFttuyAYBxuB3AIT+6W2g1xdEdQ1MB4qmnnprKOPL6d7W/DnrZ/8oZjDOvRRbJVsPN2adD2Kh2GtkeUzsvg7OJVAHiJq7KHh6TljC8tby4N06Q6uGFFNLzFKW9pGVFcjaBhgCiMfIWAUTgLCcHRKR6/dt1YFPrUaYCRPU/oghSN0Hqd6RtKD5gIL+xB2ikgEUbkTlIjWz7rT7AO0ckTpPjDdkz96jTE6nyNyUBjPC624dYnzEA0fc4WJyS/M53f7cPIxpDFqMh9Zh9NhUgeqaokHpdaThEFtVEBokEtvcEsCODYH2AyHaKztoBwdq6MMDrTKeO4dtOvqMshFOS9+YEltQ259cKir6J0tKh+Di2dGUnYxr7mzEAka6n/+nWtq6hw3xGZiIqOvbdUwEifnLcOVMhZ/ie16GLZue3oOghqtRE9BNYtM9yoksFAUTyN1U2K0AcK1H1e5UDAxyw2dcVyZwKEOtibjcHpLgBLAZt1bQTgLjqMdb3rZ8Dor8ORK2jFGMqQFw/t9YzggoQ18P3+tbKgVk5UAHirOysD1uAAxUgLsC8+tOVcKACxHFsrgBxHJ/qtyoHNpoDFSBu9PLsqcFVgLinlntXTrYCxHHLVgHiOD7Vb1UObDQHKkDc6OXZU4OrAHFPLfeunGwFiOOWrQLEcXyq36oc2GgOKHTWC65S5cC6OaBJs3+cNK1UObCJHFD/qOH6uq9n3UTe5GOqAHHTV6iOr3KgcqByoHKgcqByoHJgxRyoAHHFDK+vqxyoHKgcqByoHKgcqBzYdA5UgLjpK1THVzlQOVA5UDlQOVA5UDmwYg5UgLhihtfXVQ5UDlQOVA5UDlQOVA5sOgcqQNz0FarjqxyoHKgcqByoHKgcqBxYMQcqQFwxw+vrKgcqByoHKgcqByoHKgc2nQMVIG76CtXxVQ5UDlQOVA5UDlQOVA6smAMVIK6Y4fV1lQOVA5UDlQOVA5UDlQObzoEKEDd9her4KgcqByoHKgcqByoHKgdWzIEKEFfM8Pq6yoHKgcqByoHKgcqByoFN58BSAeLZZ5/dfPGLX+zkwU/91E813/zmN5v3vve9zc/+7M9uxZU3X/3qV5sf+ZEfaX70R3/0B+b87W9/u/nhH/7hWeThYx/7WHP+85+/ufCFLzz4vI985CP7fed85ztfc9GLXnTwd8v6wle+8pWGXFziEpdY1is29rnm/p//+Z9J3sfShz/84eaHfuiHmgMOOGDsT0Z/zzp84xvfaC52sYuN/s2cX9zLsjAnH4eeRc9+5jOfaX7+539+6KtL/Xyd8vblL3857b29qHf6FvVTn/pUssFB9MxFLnKR5sd//Md3LAfLXOOPfvSjSXee61zn2vH4pvzwW9/6VvPud7+7ed/73pd05DWucY39ePPJT36y+Z//+Z99j2T3jQ8fUZu/7Xfvhmv+lgoQH/vYxzaPfOQjO9fk6U9/evMTP/ETza1udavmPve5z0bdI3vyySc3xx9//H7jvsIVrtC8/OUv75WvD33oQ83lLne55h73uEdzyimn7PveP/zDPzT3v//9G4b+p3/6p5t73vOezSMe8YjmHOc4xxRZ3fddAnulK12pOeSQQ5q3vOUtg8/wHsCU0H73u99tCD1D8ZznPKc5+OCDB38/9xf+9m//tnnMYx6THINNIuuET7/2a7+2tGGZ+3HHHde84x3vGPWOhz/84Y07Q5/4xCc2d7/73Uf9ZsqX7E8yZO5D9Md//MfN9a9//ebyl7/80FeLn+fP2VRZWGiCG/jjf/zHf2x+5Vd+ZT8wsI5hTpG3OcaXy9pf//VfNyeeeGLzL//yL3M8evIz5tIvcz3HBK585SsnPXzOc54zzSfsg33OPlzoQheaPM9lrrFxvvWtb22udrWrTR5X/oMxusxd4re+9a2bT3/608mus9+AKdxyi1vcIj3O34HW4B+wCFw/5SlPae585zsn/r7rXe/qHStbPFfQaCGGFH68EoAIiFzrWtfabxi3ve1tUxTs7/7u75pDDz00XZy9KWRx/+Zv/qa54Q1vuG9IQNVTn/rUHxjim970puYVr3hF81d/9VfNZz/72f0AokgfYHnuc5+7ufnNb9686lWvaj73uc8lRXW/+91vR9MFNl/3utc173znO5PQDnkhAOJLXvKS5mY3u1l63xe+8IUkvMbxT//0TzsawyI/4mHi0xWveMVFHjP7b48++ui0Tjm4n/slUwEiHj3gAQ9ojG0ZNEWZi2A+6UlPao444oiFhpI/Z1NlYaEJbuCP9ypAzGVt3QBxLv0y13OIKQAjQCNgEcSm3PjGN25ucIMbNH/2Z382WZqn6JSpD58LIA7pMnrJd2ASgPDHfuzHmv/93/9N9v8hD3lIiipe5jKXSQDxd3/3d5sHPehBaSqypX/+53+egmIyd5e+9KX3TfGBD3xg8/a3vz3Z7t1EKwGIv//7v5+MS5t4AyeccEJz05vetLnDHe6QPgYY/+RP/iRFuv7gD/4ggaqvfe1rCYC98Y1vTIt0y1vesjnyyCPT933nE5/4RPMXf/EX6XuikcDoBS5wgbS4FkSo1+/e/OY3N+c973mb3/u930veQR/xoP77v/87LegQeb93G680Rh5BNGYbmkdx3/vet3nPe97THHjggWl85gKkvfKVr0wp3zEAWZr64he/ePOMZzyjefCDH5w296Mf/ejiENsA0Zf9/mEPe1h6P+IlAa0f/OAHmwte8ILNXe961zRGCsL7fv3Xf33fO0466aQUwbze9a7XvP/9708bAv+F322CSK/z1EViv/SlL6VIJaCD9zyqM888cx9ABppe+MIXJt798i//cnoGoGaTirZZqz/90z9tPvCBDzS/9Vu/tU9OuiZNxgBhPLXuV73qVZN8eB6SYjJ+Y7N5vetnfuZnmpe+9KWJH7w562QtzfsmN7lJ+p1xUAa/8Ru/kf7fulIQhx12WPPP//zPiZ//9m//lqI0In3hUVK8wPhf/uVfNle5ylWSkskjiK9//eubV7/61Y390U7r4N2jHvWo5trXvnZzr3vdqzn88MMnvYtstMla4NHHP/7xtOfsizyC2LeexnLMMcc0173udRPPzLuPl/FO6/qyl70szfmOd7xjGn/7OfZoyIKoKq/9F3/xFxN/lWvc+973TjKBRDfI4xlnnJEMGx3w7Gc/uzn22GM75d+aeBZHym84avisxAK11wa/SvIsQ0B26IXf+Z3fSfIpnYQXQ3L3tre9LY2dY8ShM45IdQ791t7ktBibOTz0oQ9t/v3f/z3ptj/8wz9sznOe86T5iAQFPyLFFYwJgEhW6VvybU2AgHy9uvahz/3ds8k1p5lMB5V4NiRvXQv393//982LXvSilGGxxqF7huSj/ay2rIn00HF0Cd59/etf30++psrDd77znfSc1772tQlA0PMCHV3U1i94X/q99ZE58GxZp9/+7d9Oe6/rOX16tnMgrT92AURfYcM8V/AD7XSNyQ0SHEH2zuMe97gkt1LbQ/r9xS9+cUOPSO/Sq3RwRBD7bJb3PPe5z03Rz89//vPNC17wglSKZd/Yc126rM0rmZtTTz21sefDdsR3rIX5wB9tgOg7SnbsSe+Nefv7FIDYJYtddsY+993b3/72KbPzX//1X83jH//49P+/9Eu/lIbsc7xT0tclU0NyshKACIzd5S532TcWhuHqV79687znPW+/FDOBEr6liBjgf/3Xf02KguE2+dNOOy1NnjEnaCjCuP/xH/+RjJbf/dzP/VwygkjtjXQsYwjYiOqpfRIhtNhdJFqIoSI4hIxSlBpWX9hHNi9llgNEStvmArYIOXBkvIyezfea17ym+dVf/dXmOte5zijPguLksTA05k+I2zWG7fHhn00mdcpY2/g2AJ5QmAwv4QJuACAg+slPfnLiH69bqoHHhBgm8xB5JJx+w1gQRgZZ/YqNAXj6G0MIiDH4gKNIZp5WZHRsnD/6oz9KCtO/Ac0AndYRuLzTne6UwD9hZ0CAmy661KUulWTFunov8GAjU0R+D6SZKxmjfIETwJMBByStL2+QY8CoAhbk7id/8icTv/AGv8iGtTBm3jZQSWZsQP8m10hKglGnSGxSfAmAyPExNjId0d18Ts961rMSbwArMuW9U95lbXLiXJB/gBgYMjdOCp5IWwFnfetpLCLX+M4BM6c+XjKW5Mu8ODH2G+cMYCer+XP8f5QbkDXeOc+dUwC4egbDzkh6FufR7xkan9kHgGQXkXf7j+NF15BPMmsNu9aGTuqbv/eYs3WyV08//fRkPDg95KUkd+aP7+ZJJo3bfvJ7VPot3cXJ4aiYA0fUHqMnyeAzn/nM5DQhTgR9aY+1iSzTOZ4FnJBDJTRkGH9K+5BscBg5ovSyCBF5NPeSzAzJW9ea2f/GRb/TVYwdMEH3DslH+3ltmeWc26ccdGCObACLIV/tvVqSB+/iJNClnsm2cB7oc+vUprPOOms//UL/lH5P1gGh0Bl4QFexW7meopP69Gyvoco+6AKIgBugax6cmkXWmNygiEQCdUAaW20uJf1uj/k9G0KnsNdAEtvDJvTZLM8n43jOuSbf9r73+W1bLrrS1QJEcMRQBLULIHqv35MN+z5oCkBsy6J916f7YQufsY32PhsODNs7ZJ6McNTo5C6Z6pLXXHZWAhDbwgoEGGwbIPLGGS0gAqikEAEiqegpANH7KD0KH4iyqShyxpmQUtQEDAPbxOhbIAqOUQCKpGUBXB5jH3UBxPy7IkyENTw+0REROx7NZS972aRohohHwqBQRoCNCAmD1+e5el5XraPaT9EdvwOqbUJGPIp/GWRgx+YBeBgzGwZw827KlXd/yUteMoFMZH7Ah4JexbsUIIPFm2LorIc1yAGizWrzexaisPHDM0QlKRCAMGo+bDxGjiHpIrz5zd/8zfQMxCgzggCf+QCqIhHBE/wDOACSPHWDp5wCMicaKcrjGVIIQA1vnpITgWF4bUbkb6JKb3jDGxLQxU9KXgQZRYqZkVViAfCUah4pIIb5Nre5TXrnlHe1+YOP5midjAvgBPKMFwgoradx5GmZEi8BFnJAWQG3iKxzLBj+/Dm5LAAA9hjwAgSJotj3dIRoNZAOGFGGSBpHNKwEEO1hQBiJ+IkqcAyAvPbalOYP1JEDjgRibAA0DkgAxD65o+eMwdxR7Ft6xTxLMsuokMWoNbYPGQDjwFM8YkitpXW0N7tKAABEe13Emo5FSlzoIgattA+Nm56MqJ6xAEScmxLP6IiSvLXlE0/JCDnlNCMRpAC0ZKVPPvocxnaK2T6ni/Adz0SWzN3vp8iDWjP7m46iK5F9TpfSc12U6xcOQun39rl1BMIRPUFOGPv8ObIPfXq2cxCtPwKIdJxnI+BQEINeJBf23yJrPAYg9ul3QF5WEVhGvmcsQF5E4btsFueXzJBt2QO6nj6252WpZBCGUszsjrFzWEtELwpIRJkXuwdQR9Yo/+1UgJjbjZLu55RYK7LgHUC0daQ32EG6x94tyVRpjisBiAx7nqakCADANkC0cYEx4X+hXcIr5WlRpwBEwhXFoYyrDQaEAUbIIgKC3tMuErX5GQTvF4kyHulGHi0lFimdNlNLAJFRMg7RyDz6OWYTx3eAD+O43e1ulyJSSBRRRFXRbR+1U8yUGmUrZQiIEW5A9fnPf376f0YIGGJ4jJmHInLCK6G4/QNQAocUSV4DycsDIhlL4NKGARKALc/ileegAK9FHG1g42L4AAHjCYAoehOnbEUSGP0+z46ic6AD+ELki+fkeZSNzZNH1gIsKGnIFS/ZIIuAk2fgOxnCb8bSOM0VuAUcwuh6p43o/Qw4o+NzGxyZu40vmumZjKi0ex8FQLRXpr6r/UygVK0sByyIIiOT5llaT2AgV6olXvpugOtI5+ZjKQFEQDsia34jgg8IipLY08BtGGQAlEyVACIAnJe2eDfZpfzba1Oav7UnDxyYII4K/RAAsU/ufF/0lEMmWkUvqfMChJWWlGSWUQPsuspzGAZgnF7g9AA5Af7bax8AEa9C3ug4Y/eb0j5k4lvWPQAAHQ9JREFUaK2n39n73gOkimqUeGYdS/LWHqM9RdcwbpEi99/0MJ6ZY598kIMuagPEJzzhCUkXBIV8+f0UecBH4C3PQFlTwFnGqIty/SKiVfo9Z4mMClBwQoFF4BDlz8GfPj3bq1SyDwBEjn+kQuk9OpIDSFd57yJrPAYgdul3+0zGifxEGQTeGguAaM4lmwUgWk+2CLHh9m/suSGAaM+xE/Z0m+LUt+fTz2xgnFXwN3oq1ir/7VSAGHaDI1PS/WyPSCnnxHtF4DnR5swOsd2CbCWZKsnKSgBiXw1iGyBSlkBFCA3lx1MvRRAtEK88TzEDpBE5kA4BABhmIDEnHmXbQAMg6ggIaNTTWXTAICJpXQztA4g2GhDHWBLYrtqwMZtZFIqRzw/7MO4UEyXfl/7uqkH0PmBZxIERJWBHHXVUCo0Li0tpReQKGPMPgwSoSZmJENlw5sITzsnmsnEItrQIz0aamtLHP/8daUUCDJQSYMpKdM6mzAGiyE8A+zEA0ZxC4eUA0VhFAKPWNcbMW6QM2sXfxnbQQQelehbr5t94yVgxKDx3G9fJdoY8yCYF4qX8KAzgIBRGREFEwsgjIN0XDfW8PII49V1tmfIe0fT8FKfIOrkGEIfWM1eqJV4ynpzBPmeqBBDbp0zDgDMIDBn5iHY/QA/jUQKInBOKOQi4lEUgA+21Kc1fpNDaA1VBIr8AUwDEPrkjO5wUGQLpHI6BPZYDxL7f+r53RIQ6X1PGXDqNMbXPOB19jhNeMWLWJMjvoh61tA9937PJiLIIe8r+ipKSPh0AwJfkrS2fDD/dwQBHDW/Uc4m4cVr75GMsQCz9foo8sC10cXtdBA/6attz/cKhH/o9G4jn8Y86ZnLb1lN9erZdh9plY/pqEOkrNk/GrLQvhta4DRDpens6TzH36Xf20n4LXR6yQE7YupLNAhDDvu0EIHKclViJzLUJz+g369eVYu6z5VMBYm43hnQ/nWKvkT2ZCbxRv+7/6Xf2GvXJVAl/bBRA5LGIZPGupP6ESCn0AIi8cB6sVK30gxAywATU9QFESvNud7tbMthC0sAU5kk3RR1jzqCoIaBQ49QxRewQAUAGvBiHDZSnNroAIoMm+sG4SD1EtI0yihpLf+cZ9dVDxtgIps2SH0oxZ1EIUbg4QNFe7C6ACKhJsRNCaScbnRFBDK5nUg4Urw3s/6MuBuBDjDNwyCtHwvcUGIAnSgW4hgeG58CliBmAFQDRRse3SLMyxCJzywCINjRlm7cGkmazmchdW/FSToy7iIB1F22MaKS5kR8yAkSSUcToc3K8Q51MF0CMGkSA27xLbRtygDj1XW05kHIwVyBZlBYBxhQxvpTWs51iLvGSTCjhEBUOZ8Y88Yk87AQgAiFSqAyyelTE2Ku7KQFEc6NPULShCievvTal+QMEwJSSCSTzwLEADocAonUDcGMv2G/4PgYgkknvJCvIGkq3iw7QR97NINjH9Egc6GmvfUQQAa0oXgcKgQj7rbQP6U1RigA+oqn+FiUWfTqAnJXkrT1G68jQmUccDrN2QEaUqKwSIJbkwdw5H8YVe0n5iqxH36GpXL/Qj32/l9khM+xWZIrYL/zkpObPARr79Kzo4xD1AUR6nIx7X4kPQ2ssi0JWI+0uMulvYwAix4isRglT2GUAUXStZLMWBYihKzn/eQmQVK1yJzbM2FYFEId0P5kAaOk7uEjWBZ/oGAEB+KgkUyU52SiAGAc6gBLEKDDOPDMpZsWWQJbPpR54T1LQGNEHEHmk0kG8F0BHgXt42yKIbZJuoWilNAA3Xrf3xknkqIu0iRSJB3UBROHeOAKfv0ddn3TT2EMqFlmkr6utjYXnLcXBiPZ8AESbLU5N4iPgC2yqvwF2/TcDiJ8ifOo0GSJRBt6LTWF+ogaiYwgAAJBteGDTZ4wusCFdJBpp7oAwAAsc8mYo/QCIIiQMHaPPcNqYUgk2Jq+HEZ4rgug5NrV5cTCMXwoDQCMXFLMInzXjIVJsotf+m2IgR1LkgE6ATL+l6NVGWVP8sk68OVQCiD5npPGFrHVFgHOAOPVdXZue4WWIechxSAdPrFlpPQEJUVIKCEgDgku8FB0FquIgA34AJ3iUP0fkPz+kUgIA0T5CwT5nxHftzTwqls+ZYgec7HFrxjgZc+zZ9tqU5u8dgJDn4KF9Q1aBAZGBqAvuilxzrOxNStv+Fe3j2JIze6f0W9/naNhzYSztdxkRxFD53DNKh9UARHIvg+KQEd3jGfgjmlnah+ZJ96nHijZQ+GC/D8lMSd665NMaRV2nkh5Rb3rJ/upqU5OniLuel8uasqIpEcShuUnj0SkArMiMscoMtA+Hxbja+qX0e3yTMpRZYXvsOWNnc/LniO716Vm6TVYIcBBg6aI+gEimyShZHeJDaY05E3Q72ZeNAzjpsTEA0XulR2Uf1YoCzPQFO8EpKtksWcNSBDGXC/q6i5RUWVPOKXm3Z+x7dc8AO1oVQBzS/VGfGe3z7GtlTfZsBHBKMtXJgO/9cakA0WIyFDzQvKdgDAhoa/dBtNmACArCJqIYeWmEAjE0FIk0BMVJMVo86TJhaOkaUYo8lQgQMt6UBMMgMpa3eGgzCIjyHEAHsAISwqtVowEwEJr8GLvIBG/8mte85r7v8nK6WuWIPlHU0rUMFiBkM/cRjxOI6DrIYiM5Ed1XUMug5oSXIhq8+yAGHFAEvqNWElAU9bDRzIvRFwnMU/KUCMXt7zaaOQGUiFGiEAC+MEwAF5BILmxiQNSJaQbfpvVu4/Us/CbwNmq0GjBGqbWuU7/eyZABf9HMmXxRciIeiGISlRahtK4MdPSqiv6UPO9YCxFnkeKoIQRSGOPcq/QO0UY8MAfeaxyCEWnzrLg5xdwZ3HBMOD/STeatVKJN5Ny7I+oz5V1dsmR/mENELckAEBLR69J6+g0ArVDc70q85GiQa3ufcmfoIqKRP4dshSzYm2QmlK/x4w2exvztJx4yg0dWGUvj6CJrJFXGMDEsxgxoRPqyvTaeUZq/tRKx4cSSTXJrXuS4JHd4Dgxae/uOfNBvZB84HpJZuo3uohfpUbKTpw/xgYzlveza/PAu+5nja104ZcpeyDYq7UOy4bciOAARPpp3HGgr8WxI3rrWTXTIGpsjxxQAQmPko/28XNY4NyX5mioPojJANmcx+Jnr1PZY2vql9Ht8s+ZxyAIflKOg9nP69GzY1lx/tsfkHfZlXiITulsQQYbFXltkjQVUZJ0ECuxtmSm2WiBmSL+zv6KP7IOMosABeYyUap/N4vyyGdE6jv3naHDWyEFbl3UqkP/3RzLPhrHT7IR9ltcX0s+CT32R+/y5+GkPl+x8fL9LFku6H3+AWWDcOPEWMGRXIgpdkqm++fv7UgFi6cVdnwEHwBDgZ1MwZoQJuIzU5tRn1u8vzgEb22EeG6JS5cA6OMD5oBei5lV0WvS173YjAFHUbOgk4pi5xCGTOCwitSbCDdy2a3DHPG+u70hxMrwM2Dqvz5xrPvU5lQOVA5vFgY0CiMAh7xwiDoqWGSJ2lVbLAdES0QIpbsZYyr1S5cA6OKBeWPTXyV1R6Wgfk/cay8c1J0AUPRQpEMkUQRYNUFog7bXTKzMX5SHgK7IvslQdt0W5WX9fOVA50MWBjQKIBqhGUG0eL93BBjUdi1weXpd95xywFsL4UmNDV/rt/C31l5UD4ziglEKJh7pjAE0NVh8pyfA95RtzkFowtZqcV6lZ6cR1gUPzwQt1atJokTafY571GZUDlQOVA8GBjQOIdWkqByoHKgcqByoHKgcqByoH1suBChDXy//69sqByoHKgcqByoHKgcqBjeNABYgbtyR1QJUDlQOVA5UDlQOVA5UD6+XAUgGiU8jaokTvvFVPVe8+By3iPsdVv3/u92m/o62G4viua8wWeZ/WPVoG5TdP9D1PCyGta9qtNfSJUqulPcKqyNWF0cC4651aKWiRoL1C17V2+rmp4WrfsFIa/zLXYQ6+aX3kdG/XDRxzPH+Tn6Hth350XddkLTpu7SfidqB11P0tQ+7oR/PKSW2nw0Dt9ieL8q/+vnKgcmB3cWCpALHd0XzVrGEk9DLSW2sbSFG6K970htKfSo8j/Y4ocy0vnDLWL1KfxanESOjppRB/iBhH/Qid5tSEO8hVeHqqAZtDpJ+bXlVOpi5CennpDYa6ek2RQX0x84bb+fv02tNzLe+/NzSe9joMfX8Vn+ey0NVUeBVj2IR35Hd9zzkee0PbHE6Q5rnrOKCyDLnTM8683NCkZ6T+fHo26k9rH/fd0DQnb3f6rEV1Xum97qLX1ii/mnKn46y/qxzYrRxYGUDU6NGpwna/LhEn3d7zE4ff+ta3Ej/z2yU0zvZP3I/MmxY50hQ5/tZehACIusprjqxpr3/apIGl04miYm3Fr+mk32pvkXekd7OG9xoThQqEDJ22djJbywxjjma3mgp7h8azTg27i9oNAcbh+8YWDW2NW8NLwMpvPEf7jyOPPDJd8+SkMYCmkWjMo8QnN0RoGaJJ81SAqP+bJsXmHo2suwCiK5tEJvVri+8xQpoW+3/NqGOd8ULjZtFRc5hKXfdd4kvcyIIn/h9/9XVExoLi//FXY2X39jpF30exDvE5vpPlkjz6rjlqqk7ejMMtQfH3XA7siXyc8Z4uGWrLgsbncWuE9bUG7XvIPa9L7skz8G9NjLPrd37btS/sW/PL96N9grecirFzH9oDsfesAT4BxxHR6wKIfXu4a23N33639nGNGn5oKaOxtdtLQo7bv+/SZV3vGNIdfXzK93/O13gH/pPxkOUxOjIAInnMsxKcTuuIn7mMkxk34oQetQZ0V643jY38hI7r06/midfWju4qge6u/aWJeK7zrFNbdq09fsRYfG7P5zKqkTK9Y150uO9oKO5aTE2iza/0nFyHm6sbl+LCgJJtmarf6vcrB1bNgaUDRJEbG5mRslkAkbh+jofmHwZcqkNKw20JokpuH+AhhtJw36BrwnjwbvXg4YmUUYI6/bt1pU0AolsLPIOhdNtF3Mnsu57vZghKigLxPGCSokCiS8ZKGfqtK4P8gwBGkQSd1hkV4M7Yu65aooBEsqS8PYtS9Tu3ZAAswKUrhdzIIRrGa8cT/+/KNy09/BYgY7j82+0u0mmUF+/fP3gsjaqfJHBR4tMpp5ySbmaRTgJSdIO3VmMjiK73MWbglOFEbYCI/5qf62Vp7UU7pXv9zpVF1kUfN1eRGbNnIZESN91YV2Nzs4KbHwAHyrePSgDRXD2PcfAMbULc7OKqLAYEP0SJNGjnCABirqKypqHs471xt7R14Njoju97QCWZYlwY2DbhgXmFsyPaK1Kj92fIgf52AB7wTh5jnCUZOvTQQ/fJghs+jB+vgTuAxlxEeu0Fcl6Se2umx6B95d2MfZv69oW9GX0zAWXrpps/I8vwDs19zB4AJsi8xtkipUCRZ+O/G3jaALG0h9vzEoE2XkDJ2lpDd+xq0k9PAAn2l73eTjH36bKuKxRLuqMkI7nckTnjzAEcsKScxo0KY3VkH0AUVdTeCkiyZ+xN8kDG6Wp60N3k9ra77SMCz7nicNL51qlPv9JrZBKfg5cyPXELUqwNsNa1v8gSXZjrPL9vy25+XaVn0qn2hr6ugJ05uIXCrT7W1d61342bbNGPnPrSc+hheswVlvYPPeKmppJtWbWhr++rHNgJB5YOEBl/V+YALAy0TcRbBfYYalcoiZABBVKk6odc/0PxUEiutqGYKSbG1FV7lLbUMQMv3cpYAIBtz95mddWQXn4AJCAo8kVJAFiubGNMKQWKPO7VjCvyAFa3KLirVBRMU15ARtNcSj6uCjMP9+oyqt7VJmNgfDyLUjd+YEYEVNQBGKTU1cnp3+a6PkAF73i2lKbLt13ZFgAR0AQsGaYjjjgiRQ4pJQrXZwB2H5/wynpQqAwBZYnP5jsWIPoe8Aa8SsMYYw4QzZdRoSwZDEAFCAXA9ZDLL50HflwRBEx6BnBkLGpX3efL6OAF4xdXfHUJewkgkjs1sYyCputqDj0vB4hu7CETaijJHJ5wKPw2p9xQkymGAMAjf2QUyBPZapP3ufUCUEOMLAOtZjAinSEHjBO+qTn1u5IMkeFcFgAnz1FfybhyOuwnxpMsl+TenlHX6apJTk37HldXR5b2BVAF5HBoNJY2R2s6Ze6lPQC0kAGgmCzZt/Y/OdMjMQeIQ2PN1weIJoNkJPYyOb31rW+dam09l3xa7zaR1z5dFlfF5b8p6Y4Sn3K5o//sIUBLNIx+sC6+43qzsToyACJAiZf2IjnhNAHGnBQ6TUkIXWTPq8OMu4TJCp3sWkXEWaRX6MmSnMl8GDN9j2Lf5/fb+zsb0Le/2jqvS3ZLwM4+NC/joINlM6wxHWq9A0gaxxBApNtcA0fvxh3ufbZlJ4a6/qZyYB0cWDpA5OEBhoihkjrkkYm8iKDw0ESGpLMYF0aNF+8mBICMBysSQYEAVIw7g60WD/EwgRMbGljJicIAunizQYAhY+kzKSTKIe7jBZQAJkrSFX8Mnfs2g4AKUSWKg5KnzOOeX+MWveFdtwmwEzGLCJnPvdMhAoqFcqJk485ZHjWlHHf++pyXe61rXWs0QDTOPj7hNWWYGzt8wcspAFGTXu8AehiaHCACdyI7Of+AFUbImuQAkZEAhIDIIIYaUGf4x1IJICpxiPuOGQU8NrYcIJI7MgaMiQT3RStzQw1YcGgYRndze0dfqowzwJiLygGE7uHlPFmHAIi5HJA30QzjLMkQw9QGiKJxcX85/okmit7bIyW5NyaHoKxp1zxEYkv7AmCJ1DmjCsR5ztS59+0BYAFAdC9yHH4DDA8++OAEjgAna2EvD401lyvPs8fy/Qus4BlgVAKIImwlXdaW35LuKPEplzt7KxxkEWiReXpVZqW099s6MgAipyZKZvAACKTfAEDOfJRUkFMA0F6jz8kCp9u7gUnvphNlV0pyhreyHvhLz9HJXWRv9O2vLoDYlt0SsBP1s7/wDHHKZEboQv+eAhA5LJxCel2wozT3vhKFsXqufq9yYFUcWDpAFGUTjUCMB0BIsdhA0hIiQwAQMCjqJL3MUKv54c2J3Pl/BpDX6XdARtRuBaMAyRyA+TsQ6L7UPKoHiPAQRTYoM1G3tiEU0WFceMVRhxTvAWLVd1Hy5gUUIPOQrmhHGESsGDtpiPzeVkCUF27MUSOHV8j3RVGkzBAlZ+4iGmMjiCU+MQD4El6/dzAGQNRUgBh1d4yryEMcUpE+Z7gAlaBjjz02AT4nbHOAaM2l8ts1f5yJuQBifkgFkGXUGZMcIJJLfGYcGDwRRUDVWueUG2rRWmsPWJk/+WZsRbXa5IYgxhOoFDWXrgQ+coDYNU4HcUoyhMdtgBg1iDEGoI3MM7YluWcsSwe7RLZL+8L7gBX8iMi9v02de98eEC0HEEWoREOR/QwsAYWcjACIY8Ya/AFW7NH8bmd7BHjh5JYAIsBf0mVtOSjpjhKf2nKnjheRUQ6EFD+ZnaIj+1LML3jBC5LDLisC8HBW6CRyxAkSpbZf1JSTKYCRU8XJtXc4WiU5kxGy7znW9JH9QGa6Iq59+6sLILZltwQQBRvoXw5hm/JUdOhgMsIWofxzcmPuUY5BBktzr1eW/gC76x82lANrA4hSUIyxCEpcmcX7AupsQlE8SgRopPRsOkZQJMSGlkIL8hml2474eJYolDRFkLThYYcdllKXAIhISVzHZYOL4EghU/i8Zko3iIcInFLGYwGi31IIUsFSV0H+JuJoPMsAiCU+Uf7mD6gEOFY7JhowFSCaDzAPUKspsm5OPzIoPGXGK0gdIVAEmOUAUZmAiK1IchBnguGPqN+Y/TN0SCUAeBdAZKw4BiIBAIi0OZ5Iaapjyyk31AwosMkQSTWKjACHjFcb8IqSGCMAhe++K4o8BBDxqyRD4UBFuUHXKeYAiAxZSe7JZAkgir6W9gWQhmf4iE+ie+Rg6tyHACI5pReQiBZnBLgGSgMgDo01X1NARcRIdD1ImhZPrU8JIErplnRZW3ZLuqPEpzZAJK9AnP1jP4nukaspOrIPIAKD1pFO4LwFSBZlBP7o6gCI+KZ8hlNovWWMIlvUp1/VpdKjUbfLeQG0OKk5yf707S+1vHlZTVfXCvtSoEGUHXGmyA45FU3Fb2uPlD7RA3SZrEY7gtj3nDZAHJp7HJgZo9PqdyoH1smBtQFEkQppThEURMkBFQAZIIHUQMWdqrx5BByKYKiPAQgBTV4gRdI2yBSGqB6vXMQO+JOKEunhPTJionQOKNi0FKHvqosETEUrAFgpbODFdykTqYkpAPGYY45JCocyllr3PsqGogWCdgoQgSdjZhykuChbEVdAusQn0VcgAbATZfEb0RjpbsoTL0VSGNiuE+KMt+9JMQdRtngnPQMgAhkO21g3vMZHBsTf1ViqeaKQeeJ4YMyAEBANZIrcWCtRhaHxxBgWAYhPe9rTkqMCsJm3dLsaKsBMBC+n3FCTW3LMMKovZSzw0UGQtjxKC5qP9fK5NJxnMaL5aesuIFuSIWmyXBZKABGYLMn9UGuo0r4A0kTJyZIIpmgSAKMua+rchwCiQwoivcA84x+OSV6DOLSH8zUVJbOnjVvZBJlU06csgvNSAojKR4Z0Wf6uku4o8akNEGUn6A5yh88i9FN1ZABEIDj6hHJuZBTsAc61PU3X2qv2LN1Ch9GJAJp/61JgLNb6pje9aRpHSc6Ml+NABwG1gDjdqt44J3zt219kJNd5XbJL55BDz+B00j30H4DIeaWH2RiRUOl0hwfpGyCXPjE34ys9pw0Qh+Y+Vp+tExjUd1cO4MDaACJAJmUqiiUqB2BQSCJ+vEieHSAoShDF9gasHkb0EEChHPyekmHM20RhiC5IeYh6UBC8QhEkBBipaWKsASGKA8iJiCKwIBoBTPGkKc1QwlMAYqSgGBnKnCJ2mEH0sAsYjE0x83Qpal6v1Lm0hggIheVEY4lPasPUcBmP2hugF2DFVykd4KWvd2AXQARyRKmsY/RBBLqkWxk90TWGVFQOMe4AOHCPLwApB8EaMNbqLYFqAGBoPHMARHz0PjwzXpFBp9nxo91yJzfUjBzQxdBKc/qM3HQ1Czd/EQygk6yLmgDKIo5Sz21HIY90lmTI/HNZIF99KWZjLcn9EED0rr59wRmLlCFAwRmwf/3bgZEpcx8CiORM+QHjjW8cRfxvn2Iu7eG2vhCR46A4oAQIkUcyTD+VACLnbEiXjQWIJRmJMow4iOaZDtCIXuaRuik6MgBiPj5gSTZA2Q4dKzrI2bOm9Kh1BK4cwrCuSGRaqpiejDY7JTkDBDmn5kL32g+cLY58TvRGaX/lOo8OaUe/RZTpGHqOrNA/DqcAiCKQ9p4IMKeMTaKXANtoteR3IoKl53QBxNLcx+qzClEqB9bNgaUCxKHJSR1QbAwmQ0tJUBiU0hABL4CfVMeYol9ADOjsajvBYwaSjKPdviJ6rQEJpRYrQ+P1uSgHQMvrnou0ZqDEKDcRBf+fj7PEJ9/nzZp3Xy/JRcdJCVO2AHU7tYIfjEm82/obD4DW7pe56DjG/h5PAGXGBF/GNkQGKKImqnTLDfmWros6JGDY/Ltueekac0mGclkYM9+S3A/9fif7YtG5x5g4DUCLyD5+DPXMnDpW8hrtn4b4EJ8vosva75iLT1N1ZGmuQCdHmuNpH+Mp3suIIM4m/SoS2KaSnAHXxskZ69LN8ay+/dWl89rv91vAVZSzK70LhHLsjCH/nE3gmMV+HnpOF/8W2WNjZa9+r3JgWRxYK0Bc1qTqcysHKge2lwMBEEXgK62XA5wp5RXKgZTwtA90rXd09e2VA5UDi3CgAsRFuFd/WzlQObByDqgN1PpHSUOl9XJAzXg0wFe7W6lyoHJgezhQAeL2rGWdSeVA5UDlQOVA5UDlQOXALBz4P3PS1UTBGibNAAAAAElFTkSuQmCC"
}
},
"cell_type": "markdown",
"id": "f3d07ab0-5427-4e86-a273-5e0883357e2c",
"metadata": {},
"source": [
"![image.png](attachment:7f33baf9-8778-4335-ac79-1a051cbee4e2.png)"
]
},
{
"cell_type": "code",
"execution_count": 1,
"id": "b9659998-ed5e-4610-865a-7e31a26f80a1",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Requirement already satisfied: watermark in /srv/conda/envs/notebook/lib/python3.9/site-packages (2.3.1)\n",
"Requirement already satisfied: ipython in /srv/conda/envs/notebook/lib/python3.9/site-packages (from watermark) (8.2.0)\n",
"Requirement already satisfied: prompt-toolkit!=3.0.0,!=3.0.1,<3.1.0,>=2.0.0 in /srv/conda/envs/notebook/lib/python3.9/site-packages (from ipython->watermark) (3.0.29)\n",
"Requirement already satisfied: pexpect>4.3 in /srv/conda/envs/notebook/lib/python3.9/site-packages (from ipython->watermark) (4.8.0)\n",
"Requirement already satisfied: pygments>=2.4.0 in /srv/conda/envs/notebook/lib/python3.9/site-packages (from ipython->watermark) (2.11.2)\n",
"Requirement already satisfied: matplotlib-inline in /srv/conda/envs/notebook/lib/python3.9/site-packages (from ipython->watermark) (0.1.3)\n",
"Requirement already satisfied: jedi>=0.16 in /srv/conda/envs/notebook/lib/python3.9/site-packages (from ipython->watermark) (0.18.1)\n",
"Requirement already satisfied: pickleshare in /srv/conda/envs/notebook/lib/python3.9/site-packages (from ipython->watermark) (0.7.5)\n",
"Requirement already satisfied: backcall in /srv/conda/envs/notebook/lib/python3.9/site-packages (from ipython->watermark) (0.2.0)\n",
"Requirement already satisfied: stack-data in /srv/conda/envs/notebook/lib/python3.9/site-packages (from ipython->watermark) (0.2.0)\n",
"Requirement already satisfied: traitlets>=5 in /srv/conda/envs/notebook/lib/python3.9/site-packages (from ipython->watermark) (5.1.1)\n",
"Requirement already satisfied: decorator in /srv/conda/envs/notebook/lib/python3.9/site-packages (from ipython->watermark) (5.1.1)\n",
"Requirement already satisfied: setuptools>=18.5 in /srv/conda/envs/notebook/lib/python3.9/site-packages (from ipython->watermark) (62.0.0)\n",
"Requirement already satisfied: parso<0.9.0,>=0.8.0 in /srv/conda/envs/notebook/lib/python3.9/site-packages (from jedi>=0.16->ipython->watermark) (0.8.3)\n",
"Requirement already satisfied: ptyprocess>=0.5 in /srv/conda/envs/notebook/lib/python3.9/site-packages (from pexpect>4.3->ipython->watermark) (0.7.0)\n",
"Requirement already satisfied: wcwidth in /srv/conda/envs/notebook/lib/python3.9/site-packages (from prompt-toolkit!=3.0.0,!=3.0.1,<3.1.0,>=2.0.0->ipython->watermark) (0.2.5)\n",
"Requirement already satisfied: executing in /srv/conda/envs/notebook/lib/python3.9/site-packages (from stack-data->ipython->watermark) (0.8.3)\n",
"Requirement already satisfied: asttokens in /srv/conda/envs/notebook/lib/python3.9/site-packages (from stack-data->ipython->watermark) (2.0.5)\n",
"Requirement already satisfied: pure-eval in /srv/conda/envs/notebook/lib/python3.9/site-packages (from stack-data->ipython->watermark) (0.2.2)\n",
"Requirement already satisfied: six in /srv/conda/envs/notebook/lib/python3.9/site-packages (from asttokens->stack-data->ipython->watermark) (1.16.0)\n"
]
}
],
"source": [
"!pip install watermark"
]
},
{
"cell_type": "code",
"execution_count": 2,
"id": "1eb85661-723e-46d5-9422-dd4b7ee0b481",
"metadata": {},
"outputs": [],
"source": [
"from pylab import *\n",
"import matplotlib.pyplot as plt\n",
"import pyAgrum as gum\n",
"import pyAgrum.lib.notebook as gnb\n",
"import numpy as np\n",
"from scipy.stats import beta\n",
"import pandas as pd"
]
},
{
"cell_type": "markdown",
"id": "30e2d9a5-b86c-4770-b96a-cc61af2f1aba",
"metadata": {},
"source": [
"* this notebook was run in the Binder image provide by [pyAgrum](https://agrum.gitlab.io/), click the Binder icon found on the bottom left corner of the agrum project home page\n",
" - the link for the binder image used for this notebook is https://agrum.gitlab.io/extra/agrum_at_binder.html"
]
},
{
"cell_type": "code",
"execution_count": 3,
"id": "274b3d96-1b52-406e-89e8-d883efd4dc5f",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Mon Jul 11 02:49:07 UTC 2022\n"
]
}
],
"source": [
"!date"
]
},
{
"cell_type": "code",
"execution_count": 4,
"id": "ffe486f6-33e4-4f88-a60b-06fb29c64bfd",
"metadata": {},
"outputs": [],
"source": [
"%matplotlib inline\n",
"%reload_ext autoreload\n",
"%autoreload 2\n",
"%load_ext watermark"
]
},
{
"cell_type": "code",
"execution_count": 5,
"id": "62983af7-cfb7-4206-b0b7-91de31a72bfb",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Python implementation: CPython\n",
"Python version : 3.9.12\n",
"IPython version : 8.2.0\n",
"\n",
"numpy : 1.23.1\n",
"pandas : 1.4.3\n",
"matplotlib: 3.5.2\n",
"pyAgrum : 1.2.0\n",
"scipy : 1.8.1\n",
"\n",
"Compiler : GCC 10.3.0\n",
"OS : Linux\n",
"Release : 4.15.0-180-generic\n",
"Machine : x86_64\n",
"Processor : x86_64\n",
"CPU cores : 4\n",
"Architecture: 64bit\n",
"\n"
]
}
],
"source": [
"%watermark -v -m -p numpy,pandas,matplotlib,pyAgrum,scipy"
]
},
{
"cell_type": "code",
"execution_count": 6,
"id": "eaa9764a-faa7-4a05-b6b8-dc3178e425e0",
"metadata": {},
"outputs": [],
"source": [
"def normalize_(rv,vmin,vmax,size):\n",
" x = linspace(vmin,vmax,size)\n",
" pdf=rv.pdf(x)\n",
" return x,(pdf/sum(pdf))"
]
},
{
"cell_type": "markdown",
"id": "b6623bc3-77e6-4799-ace5-87e955476fef",
"metadata": {},
"source": [
"## Creating a more complex model"
]
},
{
"cell_type": "code",
"execution_count": 7,
"id": "977c402c-477d-484b-83ca-d044fa37ee34",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"<matplotlib.legend.Legend at 0x7f9a353c2730>"
]
},
"execution_count": 7,
"metadata": {},
"output_type": "execute_result"
},
{
"data": {
"image/png": "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\n",
"text/plain": [
"<Figure size 432x288 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
],
"source": [
"NB_ = 300\n",
"vmin, vmax = 0., 1.\n",
"\n",
"x, y = normalize_(beta(2,25),vmin,vmax,NB_)\n",
"plot(x,y)\n",
"title(\"Priors\")\n",
"legend([\"P(A)\"],loc='best')"
]
},
{
"cell_type": "code",
"execution_count": 8,
"id": "d72ec013-ee94-4e3a-96a0-70b7221937cf",
"metadata": {},
"outputs": [
{
"data": {
"text/html": [
"<svg xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\" width=\"340pt\" height=\"188pt\" viewBox=\"0.00 0.00 339.89 188.00\">\n",
"<g id=\"graph0\" class=\"graph\" transform=\"scale(1 1) rotate(0) translate(4 184)\">\n",
"<title>G</title>\n",
"<!-- theta_fnr -->\n",
"<g id=\"node1\" class=\"node\">\n",
"<title>theta_fnr</title>\n",
"<g id=\"a_node1\"><a xlink:title=\"(2) theta_fnr\">\n",
"<ellipse fill=\"#404040\" stroke=\"#000000\" cx=\"53.9452\" cy=\"-90\" rx=\"53.8905\" ry=\"18\"/>\n",
"<text text-anchor=\"middle\" x=\"53.9452\" y=\"-86.3\" font-family=\"Times,serif\" font-size=\"14.00\" fill=\"#ffffff\">theta_fnr</text>\n",
"</a>\n",
"</g>\n",
"</g>\n",
"<!-- y_pred -->\n",
"<g id=\"node3\" class=\"node\">\n",
"<title>y_pred</title>\n",
"<g id=\"a_node3\"><a xlink:title=\"(4) y_pred\">\n",
"<ellipse fill=\"#404040\" stroke=\"#000000\" cx=\"165.9452\" cy=\"-18\" rx=\"42.4939\" ry=\"18\"/>\n",
"<text text-anchor=\"middle\" x=\"165.9452\" y=\"-14.3\" font-family=\"Times,serif\" font-size=\"14.00\" fill=\"#ffffff\">y_pred</text>\n",
"</a>\n",
"</g>\n",
"</g>\n",
"<!-- theta_fnr&#45;&gt;y_pred -->\n",
"<g id=\"edge1\" class=\"edge\">\n",
"<title>theta_fnr-&gt;y_pred</title>\n",
"<g id=\"a_edge1\"><a xlink:title=\"(2, 4) : \">\n",
"<path fill=\"none\" stroke=\"#4a4a4a\" d=\"M78.8016,-74.0209C94.9362,-63.6487 116.1281,-50.0253 133.5736,-38.8103\"/>\n",
"<polygon fill=\"#4a4a4a\" stroke=\"#4a4a4a\" points=\"135.7893,-41.5469 142.3084,-33.1951 132.0039,-35.6586 135.7893,-41.5469\"/>\n",
"</a>\n",
"</g>\n",
"</g>\n",
"<!-- y_true -->\n",
"<g id=\"node2\" class=\"node\">\n",
"<title>y_true</title>\n",
"<g id=\"a_node2\"><a xlink:title=\"(3) y_true\">\n",
"<ellipse fill=\"#404040\" stroke=\"#000000\" cx=\"165.9452\" cy=\"-90\" rx=\"40.0939\" ry=\"18\"/>\n",
"<text text-anchor=\"middle\" x=\"165.9452\" y=\"-86.3\" font-family=\"Times,serif\" font-size=\"14.00\" fill=\"#ffffff\">y_true</text>\n",
"</a>\n",
"</g>\n",
"</g>\n",
"<!-- y_true&#45;&gt;y_pred -->\n",
"<g id=\"edge3\" class=\"edge\">\n",
"<title>y_true-&gt;y_pred</title>\n",
"<g id=\"a_edge3\"><a xlink:title=\"(3, 4) : \">\n",
"<path fill=\"none\" stroke=\"#4a4a4a\" d=\"M165.9452,-71.8314C165.9452,-64.131 165.9452,-54.9743 165.9452,-46.4166\"/>\n",
"<polygon fill=\"#4a4a4a\" stroke=\"#4a4a4a\" points=\"169.4453,-46.4132 165.9452,-36.4133 162.4453,-46.4133 169.4453,-46.4132\"/>\n",
"</a>\n",
"</g>\n",
"</g>\n",
"<!-- theta_y_true -->\n",
"<g id=\"node4\" class=\"node\">\n",
"<title>theta_y_true</title>\n",
"<g id=\"a_node4\"><a xlink:title=\"(0) theta_y_true\">\n",
"<ellipse fill=\"#404040\" stroke=\"#000000\" cx=\"165.9452\" cy=\"-162\" rx=\"69.5877\" ry=\"18\"/>\n",
"<text text-anchor=\"middle\" x=\"165.9452\" y=\"-158.3\" font-family=\"Times,serif\" font-size=\"14.00\" fill=\"#ffffff\">theta_y_true</text>\n",
"</a>\n",
"</g>\n",
"</g>\n",
"<!-- theta_y_true&#45;&gt;y_true -->\n",
"<g id=\"edge2\" class=\"edge\">\n",
"<title>theta_y_true-&gt;y_true</title>\n",
"<g id=\"a_edge2\"><a xlink:title=\"(0, 3) : \">\n",
"<path fill=\"none\" stroke=\"#4a4a4a\" d=\"M165.9452,-143.8314C165.9452,-136.131 165.9452,-126.9743 165.9452,-118.4166\"/>\n",
"<polygon fill=\"#4a4a4a\" stroke=\"#4a4a4a\" points=\"169.4453,-118.4132 165.9452,-108.4133 162.4453,-118.4133 169.4453,-118.4132\"/>\n",
"</a>\n",
"</g>\n",
"</g>\n",
"<!-- theta_fpr -->\n",
"<g id=\"node5\" class=\"node\">\n",
"<title>theta_fpr</title>\n",
"<g id=\"a_node5\"><a xlink:title=\"(1) theta_fpr\">\n",
"<ellipse fill=\"#404040\" stroke=\"#000000\" cx=\"277.9452\" cy=\"-90\" rx=\"53.8905\" ry=\"18\"/>\n",
"<text text-anchor=\"middle\" x=\"277.9452\" y=\"-86.3\" font-family=\"Times,serif\" font-size=\"14.00\" fill=\"#ffffff\">theta_fpr</text>\n",
"</a>\n",
"</g>\n",
"</g>\n",
"<!-- theta_fpr&#45;&gt;y_pred -->\n",
"<g id=\"edge4\" class=\"edge\">\n",
"<title>theta_fpr-&gt;y_pred</title>\n",
"<g id=\"a_edge4\"><a xlink:title=\"(1, 4) : \">\n",
"<path fill=\"none\" stroke=\"#4a4a4a\" d=\"M253.0888,-74.0209C236.9542,-63.6487 215.7623,-50.0253 198.3168,-38.8103\"/>\n",
"<polygon fill=\"#4a4a4a\" stroke=\"#4a4a4a\" points=\"199.8865,-35.6586 189.582,-33.1951 196.1012,-41.5469 199.8865,-35.6586\"/>\n",
"</a>\n",
"</g>\n",
"</g>\n",
"</g>\n",
"</svg>"
],
"text/plain": [
"(pyAgrum.BayesNet<double>@0x55db65707e30) BN{nodes: 5, arcs: 4, domainSize: 10^8.03342, dim: 361500}"
]
},
"execution_count": 8,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"NB_ = 300\n",
"vmin, vmax = 0., 1.\n",
"\n",
"_, y_theta_theta_y_true = normalize_(beta(10,10),vmin,vmax,NB_)\n",
"_, y_theta_fpr = normalize_(beta(2,15),vmin,vmax,NB_)\n",
"x, y_theta_fnr = normalize_(beta(2,25),vmin,vmax,NB_)\n",
"\n",
"bn=gum.BayesNet(\"Quasi-Continuous-Complex\")\n",
"theta_y_true=bn.add(gum.RangeVariable(\"theta_y_true\",\"Beta prior for latent probability of class label\",0,NB_-1))\n",
"theta_fpr=bn.add(gum.RangeVariable(\"theta_fpr\",\"Beta prior for latent probability of FPR\",0,NB_-1))\n",
"theta_fnr=bn.add(gum.RangeVariable(\"theta_fnr\",\"Beta prior for latent probability of FNR\",0,NB_-1))\n",
"y_true=bn.add(gum.LabelizedVariable(\"y_true\",\"A binary variable indicating the true label\",2))\n",
"y_pred=bn.add(gum.LabelizedVariable(\"y_pred\",\"A binary variable indicating the output of classifier\",2))\n",
"\n",
"bn.addArc(theta_y_true,y_true)\n",
"bn.addArc(y_true,y_pred)\n",
"bn.addArc(theta_fpr,y_pred)\n",
"bn.addArc(theta_fnr,y_pred)\n",
"\n",
"bn.cpt(theta_y_true)[:] = y_theta_theta_y_true\n",
"bn.cpt(theta_fpr)[:] = y_theta_fpr\n",
"bn.cpt(theta_fnr)[:] = y_theta_fnr\n",
"\n",
"bn.cpt(\"y_true\")[{'y_true': 0}] = 1 - x\n",
"bn.cpt(\"y_true\")[{'y_true': 1}] = x\n",
"\n",
"bn"
]
},
{
"cell_type": "markdown",
"id": "fdbab4a5-4cd3-4274-972e-72483a7a4371",
"metadata": {},
"source": [
"### Me trying to figure out how to fill the `cpt`"
]
},
{
"cell_type": "code",
"execution_count": 9,
"id": "f3f108e8-15f9-475d-8e4a-fe38f96c76d5",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"(2, 2, 300, 300)"
]
},
"execution_count": 9,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"bn.cpt(\"y_pred\").shape"
]
},
{
"cell_type": "code",
"execution_count": 10,
"id": "ab7023a0-f9fc-46e3-b0b0-495e4f75f356",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"('y_pred', 'y_true', 'theta_fpr', 'theta_fnr')"
]
},
"execution_count": 10,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"bn.cpt(\"y_pred\").names"
]
},
{
"cell_type": "code",
"execution_count": 11,
"id": "89547540-eaa0-4aa4-b0fa-9b18dd071319",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"array([0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.,\n",
" 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.,\n",
" 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.,\n",
" 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.,\n",
" 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.,\n",
" 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.,\n",
" 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.,\n",
" 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.,\n",
" 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.,\n",
" 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.,\n",
" 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.,\n",
" 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.,\n",
" 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.,\n",
" 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.,\n",
" 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.,\n",
" 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.,\n",
" 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.,\n",
" 0., 0., 0., 0., 0., 0., 0., 0., 0., 0., 0.])"
]
},
"execution_count": 11,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"bn.cpt(\"y_pred\")[{\"y_pred\":0, \"y_true\": 0, \"theta_fpr\": 0}] # y_pred = False, y_pred = True, theta_fpr = 0.00"
]
},
{
"cell_type": "code",
"execution_count": 12,
"id": "66cd5a86-62b5-4492-843e-da622515e78d",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"array([0., 0.])"
]
},
"execution_count": 12,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"# theta_fnr = 0.0%, y_true = 0, theta_fpr = 0.0%\n",
"bn.cpt(\"y_pred\")[{\"theta_fnr\":0, \"y_true\": 0, \"theta_fpr\": 0}] # shape == (2,)"
]
},
{
"cell_type": "markdown",
"id": "7b903194-8dbd-420e-ae91-5ea6eb761d65",
"metadata": {},
"source": [
"* I think we can fille the falsee negative rate and false positive rate independent of each other\n",
"* For example if the `fpr = 0.01` and `fnr = 0.10`, what does the `cpt` look like?\n",
"\n",
"\n",
"| y_true | y_pred | proba |\n",
"|--------|--------|-------|\n",
"| 0 | 1 | 0.01 |\n",
"| 1 | 0 | 0.10 |"
]
},
{
"cell_type": "code",
"execution_count": 13,
"id": "3416a16a-feac-4e01-acf7-7115b1920872",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"(0.010033444816053512, 0.10033444816053512)"
]
},
"execution_count": 13,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"# remember x is the domain for beta distributions\n",
"x[3], x[30]"
]
},
{
"cell_type": "markdown",
"id": "6cfecbea-b81b-4794-904b-8cbe06257f24",
"metadata": {},
"source": [
"* For example if the `fpr = 0.0` and `fnr = 0.0`, what does the `cpt` look like?\n",
"\n",
"\n",
"| y_true | y_pred | proba |\n",
"|--------|--------|-------|\n",
"| 0 | 1 | 0.0 |\n",
"| 1 | 0 | 0.0 |"
]
},
{
"cell_type": "markdown",
"id": "991d409c-0036-44b5-8343-59f5bed62d34",
"metadata": {},
"source": [
"### Trial and error\n",
"* below is the `for loop` I used to fill the table which is the correct code\n",
"* This took trial and error by choosing the order of `[x, 1-x]` for both `\"theta_fnr\"` and `\"theta_fpr\"`\n",
"* Trial and error for also the dictionary assignment `bn.cpt(\"y_pred\")[{\"y_true\": 1, \"theta_fpr\": i}]`\n",
"* I would try a variation then check by visual inspection if the `cpt` was correct by looking at the output of `bn.cpt(y_pred)`\n",
" - showing the output of this large potential can be slow\n",
"* If you got the order wrong then for a query like `{\"theta_fnr\": 0, \"theta_fpr\": 0, \"y_true\": 0}` then \"y_pred\" would be wrong.\n",
" - remember the query for all `theta` implicitly use the domain of variable `x` from the `normalize_` helper function\n",
" - `x[3] ~= 0.01`"
]
},
{
"cell_type": "code",
"execution_count": 14,
"id": "d0a98fdf-5737-43b3-9400-222adbabd4a9",
"metadata": {},
"outputs": [],
"source": [
"for i in range(NB_):\n",
" bn.cpt(\"y_pred\")[{\"y_true\": 0, \"theta_fnr\": i}] = np.array([1-x,x]).T\n",
" bn.cpt(\"y_pred\")[{\"y_true\": 1, \"theta_fpr\": i}] = np.array([x,1-x]).T"
]
},
{
"cell_type": "code",
"execution_count": 15,
"id": "86005b66-98ff-4460-880c-c038fc1d88d8",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"BN{nodes: 5, arcs: 4, domainSize: 10^8.03342, dim: 361500}\n"
]
},
{
"data": {
"image/svg+xml": [
"<svg xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\" width=\"340pt\" height=\"188pt\" viewBox=\"0.00 0.00 339.89 188.00\">\n",
"<g id=\"graph0\" class=\"graph\" transform=\"scale(1 1) rotate(0) translate(4 184)\">\n",
"<title>G</title>\n",
"<!-- theta_fnr -->\n",
"<g id=\"node1\" class=\"node\">\n",
"<title>theta_fnr</title>\n",
"<g id=\"a_node1\"><a xlink:title=\"(2) theta_fnr\">\n",
"<ellipse fill=\"#404040\" stroke=\"#000000\" cx=\"53.9452\" cy=\"-90\" rx=\"53.8905\" ry=\"18\"/>\n",
"<text text-anchor=\"middle\" x=\"53.9452\" y=\"-86.3\" font-family=\"Times,serif\" font-size=\"14.00\" fill=\"#ffffff\">theta_fnr</text>\n",
"</a>\n",
"</g>\n",
"</g>\n",
"<!-- y_pred -->\n",
"<g id=\"node3\" class=\"node\">\n",
"<title>y_pred</title>\n",
"<g id=\"a_node3\"><a xlink:title=\"(4) y_pred\">\n",
"<ellipse fill=\"#404040\" stroke=\"#000000\" cx=\"165.9452\" cy=\"-18\" rx=\"42.4939\" ry=\"18\"/>\n",
"<text text-anchor=\"middle\" x=\"165.9452\" y=\"-14.3\" font-family=\"Times,serif\" font-size=\"14.00\" fill=\"#ffffff\">y_pred</text>\n",
"</a>\n",
"</g>\n",
"</g>\n",
"<!-- theta_fnr&#45;&gt;y_pred -->\n",
"<g id=\"edge1\" class=\"edge\">\n",
"<title>theta_fnr-&gt;y_pred</title>\n",
"<g id=\"a_edge1\"><a xlink:title=\"(2, 4) : \">\n",
"<path fill=\"none\" stroke=\"#4a4a4a\" d=\"M78.8016,-74.0209C94.9362,-63.6487 116.1281,-50.0253 133.5736,-38.8103\"/>\n",
"<polygon fill=\"#4a4a4a\" stroke=\"#4a4a4a\" points=\"135.7893,-41.5469 142.3084,-33.1951 132.0039,-35.6586 135.7893,-41.5469\"/>\n",
"</a>\n",
"</g>\n",
"</g>\n",
"<!-- y_true -->\n",
"<g id=\"node2\" class=\"node\">\n",
"<title>y_true</title>\n",
"<g id=\"a_node2\"><a xlink:title=\"(3) y_true\">\n",
"<ellipse fill=\"#404040\" stroke=\"#000000\" cx=\"165.9452\" cy=\"-90\" rx=\"40.0939\" ry=\"18\"/>\n",
"<text text-anchor=\"middle\" x=\"165.9452\" y=\"-86.3\" font-family=\"Times,serif\" font-size=\"14.00\" fill=\"#ffffff\">y_true</text>\n",
"</a>\n",
"</g>\n",
"</g>\n",
"<!-- y_true&#45;&gt;y_pred -->\n",
"<g id=\"edge3\" class=\"edge\">\n",
"<title>y_true-&gt;y_pred</title>\n",
"<g id=\"a_edge3\"><a xlink:title=\"(3, 4) : \">\n",
"<path fill=\"none\" stroke=\"#4a4a4a\" d=\"M165.9452,-71.8314C165.9452,-64.131 165.9452,-54.9743 165.9452,-46.4166\"/>\n",
"<polygon fill=\"#4a4a4a\" stroke=\"#4a4a4a\" points=\"169.4453,-46.4132 165.9452,-36.4133 162.4453,-46.4133 169.4453,-46.4132\"/>\n",
"</a>\n",
"</g>\n",
"</g>\n",
"<!-- theta_y_true -->\n",
"<g id=\"node4\" class=\"node\">\n",
"<title>theta_y_true</title>\n",
"<g id=\"a_node4\"><a xlink:title=\"(0) theta_y_true\">\n",
"<ellipse fill=\"#404040\" stroke=\"#000000\" cx=\"165.9452\" cy=\"-162\" rx=\"69.5877\" ry=\"18\"/>\n",
"<text text-anchor=\"middle\" x=\"165.9452\" y=\"-158.3\" font-family=\"Times,serif\" font-size=\"14.00\" fill=\"#ffffff\">theta_y_true</text>\n",
"</a>\n",
"</g>\n",
"</g>\n",
"<!-- theta_y_true&#45;&gt;y_true -->\n",
"<g id=\"edge2\" class=\"edge\">\n",
"<title>theta_y_true-&gt;y_true</title>\n",
"<g id=\"a_edge2\"><a xlink:title=\"(0, 3) : \">\n",
"<path fill=\"none\" stroke=\"#4a4a4a\" d=\"M165.9452,-143.8314C165.9452,-136.131 165.9452,-126.9743 165.9452,-118.4166\"/>\n",
"<polygon fill=\"#4a4a4a\" stroke=\"#4a4a4a\" points=\"169.4453,-118.4132 165.9452,-108.4133 162.4453,-118.4133 169.4453,-118.4132\"/>\n",
"</a>\n",
"</g>\n",
"</g>\n",
"<!-- theta_fpr -->\n",
"<g id=\"node5\" class=\"node\">\n",
"<title>theta_fpr</title>\n",
"<g id=\"a_node5\"><a xlink:title=\"(1) theta_fpr\">\n",
"<ellipse fill=\"#404040\" stroke=\"#000000\" cx=\"277.9452\" cy=\"-90\" rx=\"53.8905\" ry=\"18\"/>\n",
"<text text-anchor=\"middle\" x=\"277.9452\" y=\"-86.3\" font-family=\"Times,serif\" font-size=\"14.00\" fill=\"#ffffff\">theta_fpr</text>\n",
"</a>\n",
"</g>\n",
"</g>\n",
"<!-- theta_fpr&#45;&gt;y_pred -->\n",
"<g id=\"edge4\" class=\"edge\">\n",
"<title>theta_fpr-&gt;y_pred</title>\n",
"<g id=\"a_edge4\"><a xlink:title=\"(1, 4) : \">\n",
"<path fill=\"none\" stroke=\"#4a4a4a\" d=\"M253.0888,-74.0209C236.9542,-63.6487 215.7623,-50.0253 198.3168,-38.8103\"/>\n",
"<polygon fill=\"#4a4a4a\" stroke=\"#4a4a4a\" points=\"199.8865,-35.6586 189.582,-33.1951 196.1012,-41.5469 199.8865,-35.6586\"/>\n",
"</a>\n",
"</g>\n",
"</g>\n",
"</g>\n",
"</svg>"
],
"text/plain": [
"<IPython.core.display.SVG object>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"print(bn)\n",
"gnb.showBN(bn)"
]
},
{
"cell_type": "code",
"execution_count": 16,
"id": "38f43c1a-ded8-4a47-94d0-a5d7cb878b12",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"number of parameters in the bn : 181197\n",
"domain of the bn : 10^8.03342375548695\n"
]
}
],
"source": [
"print(\"number of parameters in the bn : {0}\".format(bn.dim()))\n",
"print(\"domain of the bn : 10^{0}\".format(bn.log10DomainSize()))"
]
},
{
"cell_type": "code",
"execution_count": 17,
"id": "c7e8bdfc-acf8-44e9-87f6-75b0b8e53f4f",
"metadata": {},
"outputs": [
{
"data": {
"image/png": "iVBORw0KGgoAAAANSUhEUgAAAYcAAAEICAYAAAC0+DhzAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjUuMiwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy8qNh9FAAAACXBIWXMAAAsTAAALEwEAmpwYAABFDklEQVR4nO3deXwV1fn48c+TfSWEJOyRhE12ECJCLSjigtqCCC6IFVq3aqnf1rbf4vfburX2p13Ub6u2daetCtStaFEUxQWVJSiyBIGwSVhDSEL27T6/P2ZCL8kNuVlvluf9et0X986cOfNMEua555yZOaKqGGOMMd6CAh2AMcaYtseSgzHGmFosORhjjKnFkoMxxphaLDkYY4ypxZKDMcaYWiw5tHMicquIPHqa9fNFZHUrhlRXHDNFZL+IFIrIWY3YfpSIfNoSsbUnIvK8iPy6jnVzReSd1o7JdEyWHNo4EdkrIiXuSfWIe3KIcdeFAb8Afud+ThERFZGQZtp3cyaW3wMLVDVGVb9o6MaqugnIE5FvN1M8AeH+fga2RN2q+oKqXtzY7UXkxyJyWEROiMizIhJ+mrJTReQrESkWkVUi0s9rXbi7/Qm3vjtrbHu1iGwTkQIRyRCRK2ps+4iIHBSRXBF5QkRCvdaniMhyd91hEXmsuf7ezaksObQP31bVGGAskIaTEABmAF+p6oGARea/fsDWxmzo9Z//BeDWZovInCQilwALgak4v6v+wH11lE0EXgV+CXQD0oElXkXuBQa59UwB/ltEprnb9gH+AdwJdAF+BrwoIt3dbRfi/I2PAAbj/M3/wqvuJ4CjQC9gDHAecHtjj9uchqraqw2/gL3AhV6ffwe86b5/FviF17qvAQUK3ddEYD6wGuebey6wB7jUa5s44BngEHAA+DUQDAwFSoEqt648t/zlwBfACWA/cG898Ye72ytQBOzyOq67gAw3rueACHfd+UAW8HPgMPB3d3kfoAQIr2Nf3dx6Drp1vu617mYgEzgOLAN6e61TnBPMTqAA+BUwAPjUPc6lQFiN2P4HOOYex1yvuj4AbvL6PB9Y7b7/yOvnUAhc4y7/FrARyHP3Ocpr+7OAz924lgCLgV/Xcfwn9+V1XN93jysPeByQOrZ9EfiN1+epwOE6yt4CfOr1Odr9vQxxPx8ELvZa/ytgsfv+HOBojfqygYnu+3TgKq911wH7vT5vAy6r8f/hr3XEmQi86R77ceBjIMhd1xt4xd33HuAOr+2C3d/vLvfnvgFIDvS5oLVf1nJoR0QkGbgM5+QMMBLY7lVksvtvV3W6bz5zP5/jlksEfgs8IyLirnseqAQG4pyILsY5uW3DObF85tbV1S1fBNwAdMVJFLd5dwvUpKpl6rR6AEar6gCv1XOBS3BOxIM59RtiT5yTfT+ckxHqtJAqgDPr2N3fgShgONAdeARARC4A/h9wNc43zn04J1lvlwDjgAnAfwNPAtcDyTjfYufUiC0RJ1nNA54UkbpiOklVq38/o92f6RJ3/OVZnBZRAvBXYJnbvRIGvO4eVzfgn8Cs+vZTw7eAs4FROMd/SR3lhgNfen3+EughIgn1lVXVIpwT6XARicf5Gdesa7j7Ph3YJiLTRSTY/dspAzZ5lZca7/uKSJz7+VHgWhGJclshlwJv13FMP8FJ5ElAD5wTvopIEPCGG1cfnET4I7f1BE6rZg7O/7UuwPeA4jr20WFZcmgfXheRPJwWwIfAb9zlXXG+2dRnn6o+papVwCKc/7w9RKQHzn+AH6lqkaoexTmhXltXRar6gapuVlWPOuMAL+E07RvjMVXdr6rHgQc49QTsAe5xk0uJ1/ICnOM+hYj0wjlRfF9Vc1W1QlU/dFfPBZ5V1c9VtQynxTJRRFK8qvitqp5Q1a3AFuAdVd2tqvnAWziJ09sv3dg+BP6Nc+JtjFtwvvmuVdUqVV2Ec7Kc4L5CgUfd43kZWN/A+h9U1TxV/RpYhdMV40sMkO/1ufp9rB9lq8vHuuugdl2xAO7f4N9wWipl7r+3ugkGnBP9f4lIkoj0BO5wl0e5/36Ek2hO4Jz403ESqC8VOH/r/dyf38fqNA3OBpJU9X5VLVfV3cBT/Ofv/iacFvl2dXypqjl17KPDsuTQPlyhql1VtZ+q3u51sszF93/emg5Xv1HV6m9AMTjfykOBQyKS5yagv+J86/ZJRM5xByCzRSQfp3WR2PBDApxuqWr7cJr61bJVtdTHNrE43QQ1JQPHVTXXx7rebv0AqGohkIPzrbHaEa/3JT4+x3h9zvU6mfmKvSH6AT+p/vm7v4Nkt77ewAH3hOa9r4Y47PW+mFOPw1shzrfkatXvfX35qFm2unyBuw5q11UAICIX4rRezwfCcL5YPC0iY9yyD+C0jDfidLG9jnOSP+J+438bZ7wjGufvLh54qI5j+h1OV+I7IrJbRBa6y/sBvWv8zP8Hp3UBzs9/Vx11dhqWHNq3TTjdMdUa+ojd/Tjf3hLd5NNVVbuoanUXgK/6XsTps09W1TjgL5zaDdAQyV7vz8Dpq65Wa99uN0IYp3alVdsPdBORrj7WHcQ5IVTXE43ThdPYgfx4t45q3rEX8Z9vueB0QZ3OfuABr59/V1WNUtWXcMaB+nh1AVbvqyVsBUZ7fR4NHKnjG/MpZd2fxQBgq5ucD/moq/pihDHAR6qa7rY+1wNrgQsBVLVEVReoah9V7Y+TxDeoqgena+0MnBZnmRvbczit31pUtUBVf+LWMx24U0Sm4vzM99T4mceqanU9+93j6dQsObRvyzm1Sycbpzumvz8bq+oh4B3gDyLSRUSCRGSAiFTXeQSnvzfMa7NYnG/opSIyHmfAsLF+ICJ9RaQb8L+cesWLL+cB77tdQ76O5S3gCRGJF5FQEanu438J+K6IjHEvz/wNsFZV9zYh9vtEJExEJuH06//TXb4RuNLtEx8I3FhjuyOc+vt5Cvi+2yITEYkWkctFJBb4DGc86A73eK4Exjch5tP5G3CjiAxzE+wvcMajfHkNGCEis0QkArgb2KSqX3nV9Qv39zAE52KA6rrWA5OqWwrumMsk3DEHEekjIr3dn8UEnCui7gFQ1WM4g8e3iUiIG+c8Th2vOElEviUiA93kmo9zcYUHWAcUiMjPRSTSHfsYISJnu5s+DfxKRAa5cYyqY+ylQ7Pk0L69AQwRkd5wssvoAeATt7k8wY86bsD5Nl591dDLOP20AO/jfOM7LCLH3GW3A/eLSAHOSWFpE+J/ESc57cZpxvu8ucvLXJyWSl2+g9MF8RXO5Y4/AlDVlTgnmVdwvtUO4DTjKn44jPOzOohzee33vU6MjwDlOElgkbve273AIvf3c7WqpuOcPB9z68zEueoIVS0HrnQ/HweuwelSaXaq+jZOd88qnKve9uGelAFEZKuIzHXLZuMMjD/gxnwOp/4878H5fe7DGSP7nVs/7hjNvcDL7t/QKzhXSVXfvFd9lVgRzs9vodc6cH4e03C+CGXi/L5/XMdhDQJW4nR1fQY8oaqr3HGPb+G0YvbgXHX2NM6VewAP4/xdv4MztvEMEHmaH1+HJKd2Z5r2RkRuAYap6o8CHUtDiMhenKuiVvpZfhTOwO3EFg2s/jjOB/6hqn0DGYcxLc3uLGznVPXJQMfQGtwrowKaGIzpTKxbyTQLcZ7rU+jj1ai7oo0xgWXdSsYYY2qxloMxxphaOsSYQ2JioqakpAQ6DGOMaVc2bNhwTFWTfK3rEMkhJSWF9PT0QIdhjDHtiojUece9dSsZY4ypxZKDMcaYWiw5GGOMqaVDjDkY015UVFSQlZVFaamvB84a0zIiIiLo27cvoaGh9Rd2WXIwphVlZWURGxtLSkoKpz5s1ZiWoark5OSQlZVFamqq39tZt5Ixrai0tJSEhARLDKbViAgJCQkNbq1acjCmlVliMK2tMX9z1q3UnL5eA/vXQtIQGDAVgu3Ha4xpn+zs1Rw8Hnh7Iaz763+WnTERrv4bxNQ546YxxrRZfnUricg0EdkuIple87B6rw8XkSXu+rXiTtwuIheJyAYR2ez+e4HXNuPc5Zki8sfqqRBFpJuIvCsiO91/45vpWFvO2j87iWHC7fDTTJjxBBz6El68GsqL69/emFYUHBzMmDFjGDFiBFdddRXFxc7faElJCeeddx5VVVXs3buXF1988eQ2zz//PAsWLGjQfh599NGTdTfUxx9/zPDhwxkzZgwlJSX1b+DD888/z7333tuobVvKvffey+9///sm1/O9732P7t27M2LEiFOW//SnP+X9999vcv3gR3IQkWDgceBSYBgwR0SG1Sh2I86k6wNxZsKqnvD7GPBtVR2JM53f3722+TPODFiD3Nc0d/lC4D1VHQS8535uu3L3wsr74MzL4JLfQEwSnDUXZj0DBzfCu78MdITGnCIyMpKNGzeyZcsWwsLC+MtfnMn1nn32Wa688kqCg4NrJYfGaEpyeOGFF7jrrrvYuHEjkZH+TcJWVVXVqH01lari8XhadZ/z58/n7bffrrX8hz/8IQ8++GCz7MOfbqXxQKaq7gYQkcXADJxpJavNwJn6D5xpJh8TEVHVL7zKbAUi3Tl8uwFdVHWNW+ffgCtw5gCeAZzvbrMI+AD4eQOPq/V88kdA4fI/gPegz5DL4JxbYe1fYdS1kHx2nVWYzum+N7aScfBEs9Y5rHcX7vn2cL/LT5o0iU2bnCmYX3jhhZMJYeHChWzbto0xY8Ywb9484uPjOXjwINOmTWPXrl3MnDmT3/72twC888473HPPPZSVlTFgwACee+45nn32WQ4ePMiUKVNITExk1apV3Hbbbaxfv56SkhJmz57Nfffd5zOmp59+mqVLl7JixQreeustbr75Zu6++25iY2PJzMxkypQpPPHEEwQFBRETE8Ott97KypUrefzxx/nmN79Z7zHfcMMNXHnllVxxxRUAzJ07l6uvvpoZM2bUKvv888/z2muvkZ+fz4EDB7j++uu555572Lt3L5dccgnnnHMOGzZsYPny5SxdupSlS5dSVlbGzJkzTx7fAw88wKJFi+jevTvJycmMGzfO799PXSZPnszevXtrLe/Xrx85OTkcPnyYnj17Nmkf/nQr9QH2e33Ocpf5LKOqlTiTedeckHsW8Lk7OXwftx5fdfZwJ4sHZ67eHr6CEpFbRCRdRNKzs7P9OIwWUJgNX/wDxlwHXXrXXn/BLyCmh9N6sHkzTBtTWVnJW2+9xciRIykvL2f37t1UP934wQcfZNKkSWzcuJEf/9iZonnjxo0sWbKEzZs3s2TJEvbv38+xY8f49a9/zcqVK/n8889JS0vj4Ycf5o477qB3796sWrWKVatWAc5JMj09nU2bNvHhhx+eTEo13XTTTUyfPp3f/e53vPCCMwX3unXr+NOf/kRGRga7du3i1VedqbSLioo455xz+PLLL/1KDAA33ngjzz//PAD5+fl8+umnXH755XWWX7duHa+88gqbNm3in//858mHfO7cuZPbb7+drVu3sn37dnbu3Mm6devYuHEjGzZs4KOPPmLDhg0sXryYjRs3snz5ctavX+9zHy+88AJjxoyp9Zo9e7Zfx+Rt7NixfPLJJw3erqZWGZAWkeE4XU0XN2Q7VVUR8XlWdafHfBIgLS0tMGfera9CVRmc833f68NjYfJPYflPYdd7MPDC1o3PtGkN+YbfnEpKShgzZgzgtBxuvPFGjh07RteuXU+73dSpU4mLiwNg2LBh7Nu3j7y8PDIyMjj33HMBKC8vZ+JE37O5Ll26lCeffJLKykoOHTpERkYGo0aN8ivm8ePH079/fwDmzJnD6tWrmT17NsHBwcyaNcuvOqqdd9553H777WRnZ/PKK68wa9YsQkLqPhVedNFFJCQ433WvvPJKVq9ezRVXXEG/fv2YMGEC4LSe3nnnHc466ywACgsL2blzJwUFBcycOZOoqCgApk+f7nMfc+fOZe7cuQ06jrp0796dgwcPNrkef5LDASDZ63Nfd5mvMlkiEgLEATkAItIXeA24QVV3eZX3nqDdu84jItJLVQ+JSC/gaAOOp3Vt/if0GAndh9ZdZuw8WP2o87LkYNqA6jGHmsvqu0kqPDz85Pvg4GAqKytRVS666CJeeuml0267Z88efv/737N+/Xri4+OZP39+g27KqnmdfvXniIgIgoOD/a6n2g033MA//vEPFi9ezHPPPdeofUdHR59cpqrcdddd3HrrraeUffTRR/2K54UXXuB3v/tdreUDBw7k5Zdf9quOaqWlpX6P05yOP91K64FBIpIqImHAtcCyGmWW4Qw4A8wG3ne/9XcF/g0sVNWT7Ry32+iEiExwr1K6AfiXj7rmeS1vW3L3QdZ6GFlPsy8kzBl72PuxcwWTMW1QfHw8VVVVJ0/YsbGxFBQU1LvdhAkT+OSTT8jMzAScbp4dO3bUquPEiRNER0cTFxfHkSNHeOuttxoU37p169izZw8ej4clS5b43YVUl/nz5588cQ8bVvP6mlO9++67HD9+nJKSEl5//fWTrSRvl1xyCc8++yyFhYUAHDhwgKNHjzJ58mRef/11SkpKKCgo4I033vC5j7lz57Jx48Zar4YmBoAdO3bUuoqpMepNDu4YwgJgBbANWKqqW0XkfhGpbiM9AySISCZwJ/+5wmgBMBC4W0Q2uq/qC/9vB54GMoFdOIPRAA8CF4nITuBC93Pbk7nS+XfIt05Z7PEoGQdPkHm0kJPzc4+9AUKjYd1TrRykMf67+OKLWb16NQCjRo0iODiY0aNH88gjj9S5TVJSEs8//zxz5sxh1KhRTJw4ka+++gqAW265hWnTpjFlyhRGjx7NWWedxZAhQ7juuut8nmBP5+yzz2bBggUMHTqU1NRUZs6c2fgDBXr06MHQoUP57ne/W2/Z8ePHM2vWLEaNGsWsWbNIS0urVebiiy/muuuuY+LEiYwcOZLZs2dTUFDA2LFjueaaaxg9ejSXXnopZ5/dPBemzJkzh4kTJ7J9+3b69u3LM888AzgPdszMzPQZY4Opart/jRs3TlvdS9epPjxC1eM5uWhzVp6e99v3td/P39R+P39TL//jR7o5K89Z+dptqg/0Vi0rbP1YTZuRkZER6BDqtGHDBr3++usDHUYtq1at0ssvv7zB2z333HN6zz33+FxXVFSk/fv317y8vHrr+MEPftDgfQfKq6++qr/4xS98rvP1twekax3nVXu2UmNUVcKej2DAlJOXr24/XMDVf/2M8koPv509il9dMYJjBeVc89fPSN97HMbMhfJC2Oa7WWlMoI0dO5YpU6YE7H6B1rJy5UqGDh3KD3/4w5MD7B1FZWUlP/nJT5qlLtEOcIllWlqatuoc0lnp8PRUuOp5GD6Tssoqpv/pE3KKyvj3HZPo0SUCgMP5pVz31BrySyp4Y8G59P7bRIhLhvlvtl6spk3Ztm0bQ4ee5gKGTmbmzJns2bPnlGUPPfQQl1xySZPr3rhxI3l5eZx//vn1ll2xYgU///mpt1Olpqby2muvNTmOtsLX356IbFBVn31Q9mylxti/zvk32bmMbcn6/Ww/UsAz89JOJgaAnnERPHlDGjMeW83PX93M30Zfh3zwG+eu6viU1o/bmDamJU++1Zfr+uOSSy5ploTUkVi3UmNkrXNaAF16UVpRxeOrMhmf0o0LhtR+yN7A7jH897QhfLzzGO+GXQAIfLmk9WM2xpgGsOTQGFnp0Ne56mDF1sMcOVHGggsG1vnM9Osn9GNknzju+6gAT/IEyHi9FYM1xpiGs+TQUCcOQf7+k8lhyfr9JHeL5JsDE+vcJDhIWHjpEA7klbAu8ptwNAOOZbZWxMYY02CWHBrq0Ebn3z7jyMot5tNdOVw1LpmgoNPPtHTuwETGp3bjoX2DnQXb2ua9fcYYA5YcGu7wFuffHsN4N+MIAN8e7eOhez7cPKk/X+RHkxs/CjJq3mRuTOvoyPM5XHvttezcubNR+zSnsuTQUEc2Q3wqhMeyctsRBnaPITUxuv7tgKlDupOaGM2/ysY5LZC8r1s2VmN86MjzOdx2220nHyVumsYuZW2ow1ug5wjySypYu/s4N0/u7/emQUHC976ZytP/Gsn8cJwb4ib+oOViNW3bWwvh8ObmrbPnSLjU/yfOdLT5HCZNmsT8+fOprKw87ZNWTf2s5dAQ5UVwfDf0GMGa3TlUepQpZzZsjujZY/uSF5HMwbBU2N6wh48Z05w64nwOQUFBDBw4kC+/tIdcNpWl1oY4+hWg0GM4azJziAgNYnRyw26/jwwL5ooxvXlzw0hu/no5UpoPER3rFn7jpwZ8w29OHX0+h+r5DJpjxrXOzJJDQxzb7vybNJQ17xxi7BnxhIc0/FnyV6Ulc9+aMdwStAx2vQ/Dm/aESWMaoqPP59Bc8xl0dtat1BDHdkBQCHnhvfjq8Akm9K85E6p/hvfuQlH3sRRIDOx8t5mDNKbhOtJ8Ds01n0FnZ8mhIY7thG79+fxAIapwdkq3RlUjIlyZ1o9VlSOp3L4CPJ5mDtSYhusI8zkcOXKEyMhIevbs2aD6jQ91Pcvb+wVMA7bjTMyz0Mf6cGCJu34tkOIuTwBWAYXAY17lY4GNXq9jwKPuuvlAtte6m+qLr9Xmc/jT2aovztGH39muqQvf1MLSikZXlV1Qqnf+70LVe7qoZqU3Y5CmLbP5HBquIfM5PPzww/r000+3cETtU7PP5yAiwcDjwKXAMGCOiNScV+9GIFdVBwKPAA+5y0uBXwI/rZGQClR1TPUL2Ae86lVkidf6p+uLsVVUVTpXKiUOZFNWHgO7xxAd3vghm8SYcCpSp+JB0B0rmjFQYxqnI8zn0LVrV+bNm1d/QVMvf7qVxgOZqrpbVcuBxcCMGmVmAIvc9y8DU0VEVLVIVVfjJAmfRGQw0B34uMHRt6a8feCpQBMG8WVWPqP7dm1yleeNGcKXngEUZ7zT9PiMaQbf+973ag3wtqSZM2cyZsyYU14rVpz6Zen888/nzTf9mwPlu9/9rt3f0Ez8+Sn2AfZ7fc4CzqmrjKpWikg+TpfSMT/qvxanpeA969AsEZkM7AB+rKr7a24kIrcAtwCcccYZfuymiXJ2AXA0LJnjRUWMSu7a5CovHNaDf7w+ktHZ/4KSPIhsep2m7VPVOp/g29l0pMl02rJTT6/+aQsD0tcC3tfBvYEzZjEKeJf/tEhOoapPqmqaqqYlJSW1fJS5ewHIKHEGoUf2afq9CXGRoRT2mUQQHnTPR02uz7R9ERER5OTkNOo/qzGNoark5OQQERFRf2Ev/rQcDgDJXp/7ust8lckSkRAgDsipr2IRGQ2EqOqG6mWq6r3d00DbeFBK7l4IiWBTXgQiMLhHTLNUOzhtCkVvhFO8aQVJw6Y3S52m7erbty9ZWVlkZ2cHOhTTiURERNC3b98GbeNPclgPDBKRVJwkcC1wXY0yy4B5wGfAbOB99e+r0RxObTUgIr1U9ZD7cTqwzY96Wl7ePohPYfvRAvp1iyIqrHn6NaeOSGbdsmGM2vNBs9Rn2rbQ0FBSU1MDHYYx9ar3DOeOISwAVgDBwLOqulVE7se5DGoZ8AzwdxHJBI7jJBAARGQv0AUIE5ErgItVNcNdfTVwWY1d3iEi04FKt675jT+8ZpS7F7r246tDBZzZM7bZqu0SEcqhxIlMOf4EmrsXsbmljTFtgF9ff1V1ObC8xrK7vd6XAlfVsW3Kaeqt9UhTVb0LuMufuFqNKuTuozL5G+zdUsS3/Jy/wV9dhl0Mq5/g6Ma36THl+81atzHGNEZbGJBu+4qPQ3kBR0N64lEY0owtB4Czz57AYY2nIMMepWGMaRssOfjDvVLpa49zVdSg7s0zGF2tR1wkWyPG0uPYWvC03xuQjDEdhyUHf+Q7M7btKIsnSOCMhKhm30VlyvnEagHHd61v9rqNMaahLDn4I9+5cndzQSzJ3aIa9Zju+qSOvxyA/euX11PSGGNant1n7o8TByA0is05Qv/E5m81AAzq35+dkkLY13YznDEm8Kzl4I/8LDSuL3uPF9M/qXnHG6qJCDmJ40kt2UJJIydlN8aY5mLJwR/5WZRF9aS0wkP/pOgW203csAuIkAq2rnuvxfZhjDH+sOTgjxMHyAvtDkBqYsslh4FnX4IHIXfryhbbhzHG+MOSQ30qy6HwKEclEYCUhJZLDqEx3cgKH0jCsXX2YDZjTEBZcqhPwUFA2V/VjbDgIHp0adiTDRuquM+5DPfs4Kv9R1t0P8YYczqWHOrjXsa6uyyOvvGRBAe17HP4e4y6iHCpZMcGG3cwxgSOJYf6FDgPiM0ocu5xaGnxQ8+jiiCqdn3Y4vsyxpi6WHKoT8FhADblR3BGKyQHwmM5EjOUfic+p6C0ouX3Z4wxPlhyqE/hYTQkggOl4a2THABNmcQo2cWar75ulf0ZY0xNlhzqU3CYisgkQFqlWwmccYdQqWL/l++3yv6MMaYmv5KDiEwTke0ikikiC32sDxeRJe76tSKS4i5PEJFVIlIoIo/V2OYDt86N7qv76eoKmILDFIY5l7H2jY9slV2GpEykkhBCvv7ELmk1xgREvclBRIKBx4FLgWHAHBEZVqPYjUCuqg4EHgEecpeXAr8EflpH9XNVdYz7qr52s666AqPwCHnBCUDrJQfCosmNH8moik3sPFrYOvs0xhgv/rQcxgOZqrpbVcuBxcCMGmVmAIvc9y8DU0VEVLVIVVfjJAl/+ayrAds3r4LDZGs8UWHBxEWGttpuIwadzwjZwydbd7faPo0xppo/yaEPsN/rc5a7zGcZVa0E8oEEP+p+zu1S+qVXAvCrLhG5RUTSRSQ9Ozvbj101QnkxlJ3gYFUcvbtG0po5KnbIFELEQ/bWD1ptn8YYUy2QA9JzVXUkMMl9fachG6vqk6qapqppSUlJLRIghc5lrPvKY+ndtZW6lKolj6dSQul2dC1FZZWtu29jTKfnT3I4ACR7fe7rLvNZRkRCgDgg53SVquoB998C4EWc7qtG1dViCo4AsLM4hj5dW/axGbWERlKUNJZzZCuf7grM4RtjOi9/ksN6YJCIpIpIGHAtsKxGmWXAPPf9bOB9Pc1lNiISIuI8yU5EQoFvAVsaU1eLclsOmSXR9Ipr5ZYDED3kfIbLPtZmZLb6vo0xnVu9ycHt918ArAC2AUtVdauI3C8i091izwAJIpIJ3AmcvNxVRPYCDwPzRSTLvdIpHFghIpuAjTithafqq6vVFR0D4JjGtX63EhDS/zyCRCnc8ZFd0mqMaVV+TROqqsuB5TWW3e31vhS4qo5tU+qodlwd5eusq9UVZaMIucTSO66Vu5UA+qZRGRTO4OKN7DlW1GKz0BljTE12h/TpFB6lLCweD0H0CkDLgZBwKvqcw8SgrXy0o4WuyDLGGB8sOZxOUTbFIfEA9OgSHpAQIgedx9Cg/Xy+bWdA9m+M6ZwsOZxO0THygrsSGxFCVJhfPXDNL3UyALLvE0orqgITgzGm07HkcDpFR8nRLi0++9tp9T6LypAoxulW0vfmBi4OY0ynYsnhdIqOcaQqlp6BTA7BoUi/b/CN4Aw+3GFThxpjWoclh7pUlELZCQ5UxNI9QOMN1YL7T2agHGDLVzsCGocxpvOw5FCXIufqoH2lUYHtVgJImQRAUs56DuWXBDYWY0ynYMmhLm5yOOrpEthuJYBeo6kK68KEoK18vONYYGMxxnQKlhzq4t4d7QxIB7ZbiaBgglLPZVLINj60+x2MMa3AkkNdit3kQBe6B7rlAEjKZJI5zM6dX1FZ5Ql0OMaYDs6SQ12KnSeh5mosSTEBbjkApDrjDiPKv+TLrPwAB2OM6egsOdSlOIcqCaaASBLbQnLoPhxPZDf3klbrWjLGtCxLDnUpzqE4pCvRYSFEhgUHOhoICiIo5ZtMDt3GR9vtfgdjTMuy5FCX4uMUBHUhoS20GqqlTqa7J5vjB3aQW1Qe6GiMMR2YJYe6FB8njy4kxIQFOpL/cO93mBCUwepMu6TVGNNy/EoOIjJNRLaLSKaI1Jp8R0TCRWSJu36tiKS4yxNEZJWIFIrIY17lo0Tk3yLylYhsFZEHvdbNF5FsEdnovm5qhuNsuOIccjzRJES3oZZD0plodHfOC/3Kxh2MMS2q3uQgIsHA48ClwDBgjjubm7cbgVxVHQg8AjzkLi8Ffgn81EfVv1fVIcBZwLkicqnXuiWqOsZ9Pd2gI2ouxTkcrYohsS21HESQ1EmcG+yMO9jscMaYluJPy2E8kKmqu1W1HFgMzKhRZgawyH3/MjBVRERVi1R1NU6SOElVi1V1lfu+HPgc6NuE42heHg9aksvhiqi2caWSt5RJdK06RkzRXr46XBDoaIwxHZQ/yaEPsN/rc5a7zGcZd87pfCDBnwBEpCvwbeA9r8WzRGSTiLwsIsn+1NOsyvIRrSLHE9u2xhzg5PwOE4MybHY4Y0yLCeiAtIiEAC8Bf1TV3e7iN4AUVR0FvMt/WiQ1t71FRNJFJD07u5lPksXHATiusW3raiWAbv2hSx8ujtph4w7GmBbjT3I4AHh/e+/rLvNZxj3hxwE5ftT9JLBTVR+tXqCqOapa5n58Ghjna0NVfVJV01Q1LSkpyY9dNYB7d3QeMSRGt7GWgwikTCJNt7J+bw5FZZWBjsgY0wH5kxzWA4NEJFVEwoBrgWU1yiwD5rnvZwPvaz2jpSLya5wk8qMay3t5fZwObPMjxubl1XJIjG1jLQeA1ElEV+aS6tnPmt3+5GBjjGmYeidGVtVKEVkArACCgWdVdauI3A+kq+oy4Bng7yKSCRzHSSAAiMheoAsQJiJXABcDJ4D/Bb4CPhcRgMfcK5PuEJHpQKVb1/zmOdQGKHGSQy4xJLS1lgOcvN9hcug2PtzxTaYO7RHggIwxHU29yQFAVZcDy2ssu9vrfSlwVR3bptRRrdRR/i7gLn/iajEleQAUEE3XqDaYHOL7Qdd+XFqeyU9s3MEY0wLsDmlfSp2nnoZFxREc5DOHBV7qZEaUf8nXOYXsyykKdDTGmA7GkoMvpXkUB0UTHxMV6Ejq1v98wisLGCm77ZJWY0yzs+TgS0kehUSTGNsGu5Sq9T8fgMtj7FEaxpjmZ8nBl9J88mljz1WqKToReo7iorAMPt2VQ3mlzQ5njGk+lhx8Kc3jeFVU27s7uqYBU+hXshXKi0jfdzzQ0RhjOhBLDj54SvLI9bTB5yrV1H8KQZ4KvhG8zbqWjDHNypKDD1qSR75Gt817HLydMRFCIriy604+2mHzOxhjmo8lBx+kNI8TtIOWQ2gE9PsGE3QT2w6d4OiJ0vq3McYYP1hyqKmynKDKEqfl0NbHHAD6T6Fb8W56cJyPdlrrwRjTPCw51OTeAJdPNN3aercSwIApAEyLsktajTHNx5JDTW5yOKFRbfPRGTV1Hw7RSUyP+YqPd2ZT5bHZ4YwxTWfJoabSPAAKJJrYcL8ePRVYQUHQ/3xGlH1BfnEZn3+dG+iIjDEdgCWHmtyH7nnC4ghqq89Vqqn/FMLLchgenMXKbUcCHY0xpgOw5FCT23LQyK4BDaNB3HGHOYmZvLftaICDMcZ0BJYcanKTg7Sn5NClNyQN4bzgrWQetae0GmOazpJDTe6AdGh0fIADaaABF9A7/wvCKWeltR6MMU3kV3IQkWkisl1EMkVkoY/14SKyxF2/VkRS3OUJIrJKRApF5LEa24wTkc3uNn8Udzo4EekmIu+KyE7339Y9S5fkUUYY0VHRrbrbJhs4laCqUmbF7+E9G3cwxjRRvclBRIKBx4FLgWHAHBEZVqPYjUCuqg4EHgEecpeXAr8Efuqj6j8DNwOD3Nc0d/lC4D1VHQS8535uPe7d0e3iMlZv/b4JIZHM6pLBuj3HOVFaEeiIjDHtmD8th/FApqruVtVyYDEwo0aZGcAi9/3LwFQREVUtUtXVOEniJBHpBXRR1TWqqsDfgCt81LXIa3mr0JJ88jzRxEWGtuZumy40Avqfx/DitVR6PHy43W6IM8Y0nj/JoQ+w3+tzlrvMZxlVrQTygYR66syqo84eqnrIfX8Y6OGrAhG5RUTSRSQ9O7v5ToSVRbnkE03XqHaWHAAGXkhEwdeMicqxriVjTJO06QFpt1Xh85ZfVX1SVdNUNS0pKanZ9ukpyXPvjm6HyWHQRQDMT9rBqu3ZVFbZBEDGmMbxJzkcAJK9Pvd1l/ksIyIhQByQU0+dfeuo84jb7VTd/dS6l96U5jkth8h2NuYAEJ8CiWdyrn5OfkkFG/bZ3dLGmMbxJzmsBwaJSKqIhAHXAstqlFkGzHPfzwbed7/1++R2G50QkQnuVUo3AP/yUdc8r+WtIqjsBCc0irj22HIAGHQRiTnpdAku472v7JJWY0zj1Jsc3DGEBcAKYBuwVFW3isj9IjLdLfYMkCAimcCdeF1hJCJ7gYeB+SKS5XWl0+3A00AmsAt4y13+IHCRiOwELnQ/tw6Ph5DyE27Lof0mB6kqZ36vr+1RGsaYRvPryXKquhxYXmPZ3V7vS4Gr6tg2pY7l6cAIH8tzgKn+xNXsygsQPORrdPu7lLXaGRMhLIbLI7fwx6xBZB4tZGD3mEBHZYxpZ9r0gHSrq35cN9F0iWgHT2T1JSQcUs9jYN5ngLJi6+FAR2SMaYcsOXhzn8haHtqFkOB2/KMZfDHBBVlc0TuPt7dYcjDGNFw7PgO2ALfloOFdAhxIEw2+FBDmxm1h84F8snKLAx2RMaadseTgzX0iKxFdAxlF08X2gL5pjCr6BIAVW21g2hjTMJYcvLkth+CoroGNozmceRnhRzcxqUc5b285VH95Y4zxYsnBW1kBACEdITkMuRyA7yVuI31fLkcLSuvZwBhj/sOSgzc3OUTGtPMxB4DEwdBtAOPL1qAK72ZY15Ixxn+WHLxoWQGlGkqXqKhAh9J0IjDkMqIOfsqIBOyqJWNMg1hy8FJRnE8Bke3zoXu+nHk54qng5l67+WxXDrlF5YGOyBjTTlhy8FJRcoIijaRLe310Rk3J4yEqkfN0PZUeuyHOGOM/Sw5eqkoKKCSy/T5XqaagYBg8jbisVQxKCOONTQcDHZExpp2w5OBFSwsoIqL9PlfJl6HfQspOcNsZWXy2K8euWjLG+MWSgxctL6BQO9CYA8CACyC8C1P1MzwKb222riVjTP0sOXgJKi+kkMj2N3/06YSEw5mXEbd3BcN7RPKmdS0ZY/xgycFLSGURRRpBbHt9Imtdhl8BpXl8/4ws1u/N5WBeSaAjMsa0cX4lBxGZJiLbRSRTRBb6WB8uIkvc9WtFJMVr3V3u8u0icom77EwR2ej1OiEiP3LX3SsiB7zWXdY8h1q/0MpCiiSKyNDg1tpl63C7lqZUrgbg35vscRrGmNOrNzmISDDwOHApMAyY4zWbW7UbgVxVHQg8AjzkbjsMZ1rR4cA04AkRCVbV7ao6RlXHAOOAYuA1r/oeqV7vTjTU8qoqCfWUUREShTNzaQfidi3F7FnB2D7RdtWSMaZe/rQcxgOZqrpbVcuBxcCMGmVmAIvc9y8DU925oWcAi1W1TFX34EwJOr7GtlOBXaq6r7EH0SzKCwGoDIkOaBgtxu1auiV5P5uy8tmdXRjoiIwxbZg/yaEPsN/rc5a7zGcZd87pfCDBz22vBV6qsWyBiGwSkWdFJN5XUCJyi4iki0h6dna2H4dRD/e5SlWhsU2vqy1yu5bOq/iEIIFXPz8Q6IiMMW1YQAekRSQMmA7802vxn4EBwBjgEPAHX9uq6pOqmqaqaUlJSU0Pxm05ENZB51t2u5Yid73F+QO78toXB/B4NNBRGWPaKH+SwwEg2etzX3eZzzIiEgLEATl+bHsp8LmqnnxkqKoeUdUqVfUAT1G7G6pluC0HwjtocgAYcSWU5nFrn70cyCthzZ6cQEdkjGmj/EkO64FBIpLqftO/FlhWo8wyYJ77fjbwvqqqu/xa92qmVGAQsM5ruznU6FISkV5eH2cCW/w9mCZxk0NQeAftVgKnaykqkbT8FcSGh/DKButaMsb4Vm9ycMcQFgArgG3AUlXdKiL3i8h0t9gzQIKIZAJ3AgvdbbcCS4EM4G3gB6paBSAi0cBFwKs1dvlbEdksIpuAKcCPm3iM/nGTQ3BkB5jLoS7BoTBiFsE73mbW8Bje2nKIorLKQEdljGmD/Lrby72cdHmNZXd7vS8Frqpj2weAB3wsL8IZtK65/Dv+xNTctKwAAUI6cnIAGH0NrPsr87p+yfPl/Xh7y2Fmjesb6KiMMW2M3SHtqihxWg5h0XEBjqSF9R4LCYNIOfAm/RKieOXzrEBHZIxpgyw5uMqL8gAI7+jJQQRGXYPs+4R5Q4P5bHcOWbnFgY7KGNPGWHJwVZQUUKahxERFBjqUljfqagBmhX4CwNL1+09X2hjTCVlycFWVnKCQDvjQPV/i+8EZ3yBu56ucPyiRxev3U1HlCXRUxpg2xJKDy1N6gkKNJDaiAz2u+3RGXwPHdvD9QfkcLSjjvW1HAx2RMaYNseTg0rICiojsHC0HgOFXQmg0Z+cso2eXCF5c93WgIzLGtCGWHFxSVkgBkcSEd5LkENEFRs4iaOsrfOeseD7emc3+4zYwbYxxWHJwSUWhO9FPJ+lWAhg3HyqKuT56HQK8ZK0HY4zLkoMrpKKIIiI6T8sBnHseeo4kLuMfXHBmEkvTs2xg2hgDWHI4KaSyiNKgaIKDOthEP6cjAmPnweHNfH9wAccKy1i+2WaJM8ZYcjgpvKqIiuCoQIfR+kZdDSGRjDv2L/onRvPsJ3txnplojOnMLDkAeKoI01IqQjvw47rrEhEHI2Yhm1/mlnMS+XJ/Hp9/nRvoqIwxAWbJAU5O9OMJ7aBThNYn7XtQUcSVQR8RFxnKM6v3BDoiY0yAWXKAk4/r1rAOPJfD6fQdB33PJiz9Sa47uw9vbzlsl7Ua08lZcgAoc1oO2pFngavPhNshdw8399yJiLDo072BjsgYE0B+JQcRmSYi20UkU0QW+lgfLiJL3PVrRSTFa91d7vLtInKJ1/K97qQ+G0Uk3Wt5NxF5V0R2uv/GN/EY61c90U9HngWuPkOnQ5e+dNv0NJeN7MWS9fspKK0IdFTGmACpNzmISDDwOM58z8OAOSIyrEaxG4FcVR0IPAI85G47DGda0eHANOAJt75qU1R1jKqmeS1bCLynqoOA99zPLavcnSK0o0/0czrBIXDOLbD3YxYMLaagrNJuijOmE/On5TAeyFTV3apaDiwGZtQoMwNY5L5/GZgqIuIuX6yqZaq6B8h06zsd77oWAVf4EWOTVJacACA0ohMnB4CxN0BoNGfu+QeTBiXy5Ed7KK2oCnRUxpgA8Cc59AG8H/if5S7zWcadczofZwrQ022rwDsiskFEbvEq00NVq+/EOgz08BWUiNwiIukikp6dne3HYdStrCgfgNCOPtFPfSLjYcx1sOVlfjwhjmOFZSy21oMxnVIgB6S/qapjcbqrfiAik2sWUOduLJ93ZKnqk6qapqppSUlJTQqkrMhpOYRFdfKWA8CE28BTydgDLzA+tRt/+XA3ZZXWejCms/EnORwAkr0+93WX+SwjIiFAHJBzum1Vtfrfo8Br/Ke76YiI9HLr6gW0+EQD5W63UmSMJQcSBsCIWbD+GX78jW4cPlHKKxtq/rqNMR2dP8lhPTBIRFJFJAxngHlZjTLLgHnu+9nA++63/mXAte7VTKnAIGCdiESLSCyAiEQDFwNbfNQ1D/hX4w7Nf5UlRXhUiI7qpDfB1TTpp1BRzIQjSxid3JUnPsi0B/IZ08nUmxzcMYQFwApgG7BUVbeKyP0iMt0t9gyQICKZwJ24Vxip6lZgKZABvA38QFWrcMYRVovIl8A64N+q+rZb14PARSKyE7jQ/dyiKsuKKCacLpFhLb2r9qH7EBg2A1n3JHd+M4ms3BJe/Twr0FEZY1qRX8+nVtXlwPIay+72el8KXFXHtg8AD9RYthsYXUf5HGCqP3E1Fy0vooTwzvW47vpM/hlkvM7k4y8zJvk8Hnl3JzPG9CEiNLj+bY0x7Z7dIQ14yoso1vDOM0WoP3qOgCHfQtb+hf+d2pvDJ0p53u6aNqbTsOQASEUxxYQTbS2HU03+GZTmc/bBF7lgSHeeWJVJXnF5oKMyxrQCSw5AUEUJJUQQHmI/jlP0HgPDr4TPHuN/JsVRUFbJnz/YFeiojDGtwM6GQFBlMeVBETg3dZtTTL0bqioYuPUxrjyrL899upeDeSWBjsoY08IsOQAhVSWUB0UEOoy2qVsqjL8Zvvg7/z3OuR/x/731VYCDMsa0NEsOOMmhIigy0GG0XZN/BmGx9Fj7ILefP4A3vjzIp7uOBToqY0wLsuQAhHpKqAy25FCnqG4w6cew4y1u73eQM7pFcfe/ttqNccZ0YJYcgHBPKZ4QSw6ndc73oesZhK34b+69bCCZRwt57hObTtSYjsqSgyrhWoonJCrQkbRtoZFw2R/g2HYuyF3KhUO78+jKnRzOLw10ZMaYFmDJoaqcYDx4Qi051Gvwxc6McR/+lvsmxVLlUX7x+macx2gZYzoSSw7lRQBIqHUr+WXagxAUQp/PfsnPLh7Mym1HefVze2qrMR2NJYeKYgAkzJ7I6pe4PjDlf2DnO3y32ybOTonn3je2cijf7n0wpiPp9MnBU+a2HMItOfht/K3Q+yyC/30nD1/ak8oqZeEr1r1kTEfS6ZNDWXEBAEHWcvBfcAhc+RRUlJD88c9YOO1MPtyRzYs2pagxHUanTw6lJU5yCImICXAk7UziILj4V5C5ku+ErGTSoETueyODrQfzAx2ZMaYZ+JUcRGSaiGwXkUwRWehjfbiILHHXrxWRFK91d7nLt4vIJe6yZBFZJSIZIrJVRP7Lq/y9InJARDa6r8ua4TjrVF5cCEBopLUcGuzsm2DAVILe/SV/vDCablFh/OCFzzlRWhHoyIwxTVRvchCRYOBx4FJgGDBHRIbVKHYjkKuqA4FHgIfcbYfhTCs6HJgGPOHWVwn8RFWHAROAH9So8xFVHeO+TplkqLlVdytZy6ERRGDG4xAaSfybN/L4VYPZn1vCwlc22fiDMe2cPy2H8UCmqu5W1XJgMTCjRpkZwCL3/cvAVHEecToDWKyqZaq6B8gExqvqIVX9HEBVC3CmH+3T9MNpuMpSZ0A6PDI2ELtv/7r0gtnPwrEdjPviF/z3xYNZvvkwz6y2u6eNac/8SQ59gP1en7OofSI/WcadczofSPBnW7cL6ixgrdfiBSKySUSeFZF4P2JstIoyp1spPMpaDo02YApMvQcyXufmkH8zbXhPHli+jXczjgQ6MmNMIwV0QFpEYoBXgB+p6gl38Z+BAcAY4BDwhzq2vUVE0kUkPTs7u9ExVJU6ySEiukuj6zDAuf8Fw64g6L17+b+zjzOqTxx3vPQFm7NsgNqY9sif5HAASPb63Ndd5rOMiIQAcUDO6bYVkVCcxPCCqr5aXUBVj6hqlap6gKdwurVqUdUnVTVNVdOSkpL8OAzf1L3PIdJaDk1TPf6QNJTwV7/Lc9PC6BYdxo2L1tvkQMa0Q/4kh/XAIBFJFZEwnAHmZTXKLAPmue9nA++rMyK5DLjWvZopFRgErHPHI54Btqnqw94ViUgvr48zgS0NPaiG8JQXUaqhxESGt+RuOofwGLj+ZYjsSrfXruPvM5MoKa/i+mfWkl1QFujojDENUG9ycMcQFgArcAaOl6rqVhG5X0Smu8WeARJEJBO4E1jobrsVWApkAG8DP1DVKuBc4DvABT4uWf2tiGwWkU3AFODHzXWwPpUXU0w4UWEhLbqbTqNLb7j+VfBU0v/t77DomhQO5ZVy3VNryCm0BGFMeyEd4ZLDtLQ0TU9Pb9S2mx+bQ7fsdfS5b1czR9XJ7V8Pi74N8f1IP28R1y/ZQ0pCNC/dPIH46LBAR2eMAURkg6qm+VrX6e+QDqosplSsS6nZJZ8Nc5dC3n7S3r+Ov83qw+5jRVz75Bp7SJ8x7YAlh4oSysUe190iUifDd16FomzGfzCXl2b14EBeCbOe+JSdRwoCHZ0x5jQ6fXIIqSqmPCgi0GF0XGdMgBv+BaUnGLfyat6YEUqlR5n9l89Yt+d4oKMzxtTBkkNVKRXB1nJoUX3Gwo3vQlgMqf++hrfOP0BCTBjXPbWG5z7ZY4/aMKYN6vTJIcxTQmWwtRxaXNJguPl9SD6HhHfv4K2h7zB1cDz3vZHBfy3eSHF5ZaAjNMZ4seTgKaUq2OaPbhVR3eA7r8HZNxG+7nH+Un4Xv54cxZubDvKtP63mi69zAx2hMcbV6ZNDuJbiCbFupVYTHAqX/wGu/jtyfA/Xb7yed87bR2lZJbP+/CkPvf0VZZVVgY7SmE6v0yeHCErxhFrLodUNmw63fQK9xjBwzV181OP33D68kj9/sIvL/u9jPtrR+OdlGWOarnMnh6pKwqhEbIrQwIjrC/PegG//kZDsbfx09418eNYqIqoKuOHZddy0KJ29x4oCHaUxnVKnTg5V7uO6sZZD4AQFwbh58MMNMPIq+m17ijc9C3hx2Bo+33WACx/+kIWvbGL/8eJAR2pMp9Kpk0NJkfOU8KBwazkEXHQizPwz3Poxkjyeb+z+I+tjfsJf+63i/S++YsrvP+Bn//ySjIMn6q/LGNNknfppcyVFhcQAQeH2uO42o9comPtP2PcpwR8/zNTMJ1kT8XfSu07jwU3juWzDfsanJjBvYgoXDutOeEhwoCM2pkPq1MmhtNj5FhoSYS2HNqffN5zXkQyCPnuc8Vte5tXg1zgWN5gXj53Lb14cw10Rvbh8VG9mntWHcf3iCQ6SQEdtTIfRqZNDebEz5hASYS2HNqvHMLjicbjkAdjyMomf/507Cp/jjgjYHzGY1zaO4e71Y8mO7M95Q3owdUgPJg9OJDYiNNCRG9OuderkUFbiJIdQSw5tX2RXOPsm55WzC756k+Rtb3JH1lLuCF9KocTxWcYQPv5yCI8zlPCewxiXmsT41G6kpXSjmz0m3JgG6dTJobLUeTJoeKQlh3YlYYAzZ/W5/wUFhyFzJTF7P+HCvR9xUf5aAMpywsk4dgab1qTwoKZwIjqVyF5nckafZIb1iaN/YjTJ3aKICLUxC2N88Ss5iMg04P+AYOBpVX2wxvpw4G/AOJy5o69R1b3uuruAG4Eq4A5VXXG6Ot3pRBcDCcAG4DuqWt60w/StstS5hj48OrYlqjetIbYnnHU9nHU9ApC7D75eQ/ihjYw+uJFRhz4juOJdKAf2Qf7eKPZoL7ZoT97VBEojeiBxvQiP70NkQl9iuvUhqWs0PbpE0KNLBPFRoTiz2hrTudSbHEQkGHgcuAjIAtaLyDJVzfAqdiOQq6oDReRa4CHgGhEZhjPn9HCgN7BSRAa729RV50PAI6q6WET+4tb95+Y42Jqq73MIj7Lk0GHE93Neo69xrtP2eCBvr9MVlZNJ1NEdDDi8g8G5uwkvXUNwZZXzdSYHyASPCieIIl+jySKaDGIoCY6lNCSW8tAuEBZNUFg0weFRhIZHERQWTVBYJMHh0YSERxIUHk1YeCRhoaGEh4cTFhZGaGgYwaGhhASHERQSSmhoKMEhIYQEBREcJIQECUE2mG7aGH9aDuOBTFXdDSAii4EZOPNCV5sB3Ou+fxl4TJyvWzOAxapaBuxx55ge75arVaeIbAMuAK5zyyxy622h5OC0HCKju7RE9aYtCAqCbv2d16CLCAVODlV7PFCcAwUH4cQhKvIOUJyTRdmJY4QU5dKt+DgJZfmEVmQRWXmCyOICQoqb57lPHhUqCaKKYMpwurYUQZ32DyqCBwF3mbrrwVmuJ9fhVUZQ8aqDUxNOc6afmnU31w581tsqmrbfQD50Pmfcjxh3+U3NXq8/yaEPsN/rcxZwTl1lVLVSRPJxuoX6AGtqbNvHfe+rzgQgT1UrfZQ/hYjcAtwCcMYZZ/hxGLWFJw3g84OTGGndSp1TUBDEJDmvXqMJBeLcl0+qUFUBFcVQUYKnvISy0kLKS4qoKHVelWVFVJSXUVlRTmVFBZWV5XiqKtCqKvBUQFUlWlUBnspTXqqKqgf1qDu/hYIqgsfZLwAe9yykiHpOlnE+11junq5aZqqMFjoVtuC8HhLQ03fL7jsspluL1NtuB6RV9UngSYC0tLRG/fTPuvh6uPj6Zo3LdGAiEBLmvCK7EgREui9jOhp/Hp9xAEj2+tzXXeazjIiE4Hz5yjnNtnUtzwG6unXUtS9jjDEtzJ/ksB4YJCKpIhKGM8C8rEaZZcA89/1s4H112sbLgGtFJNy9CmkQsK6uOt1tVrl14Nb5r8YfnjHGmMaot1vJHUNYAKzAuez0WVXdKiL3A+mqugx4Bvi7O+B8HOdkj1tuKc7gdSXwA1WtAvBVp7vLnwOLReTXwBdu3cYYY1qRdITJ3dPS0jQ9PT3QYRhjTLsiIhtUNc3Xuk79yG5jjDG+WXIwxhhTiyUHY4wxtVhyMMYYU0uHGJAWkWxgXyM3TwSONWM47YEdc+dgx9w5NOWY+6lqkq8VHSI5NIWIpNc1Wt9R2TF3DnbMnUNLHbN1KxljjKnFkoMxxphaLDm4D+/rZOyYOwc75s6hRY650485GGOMqc1aDsYYY2qx5GCMMaaWTpMcRGSaiGwXkUwRWehjfbiILHHXrxWRlACE2az8OOY7RSRDRDaJyHsi0i8QcTan+o7Zq9wsEVERafeXPfpzzCJytfu73ioiL7Z2jM3Nj7/tM0RklYh84f59XxaIOJuLiDwrIkdFZEsd60VE/uj+PDaJyNgm79SZnrBjv3AeC74L6A+EAV8Cw2qUuR34i/v+WmBJoONuhWOeAkS572/rDMfslosFPsKZwjYt0HG3wu95EM7j7+Pdz90DHXcrHPOTwG3u+2HA3kDH3cRjngyMBbbUsf4y4C2cybAnAGubus/O0nIYD2Sq6m5VLQcWAzNqlJkBLHLfvwxMFZFAzXbeHOo9ZlVdparF7sc1ODPvtWf+/J4BfgU8BJS2ZnAtxJ9jvhl4XFVzAVT1aCvH2Nz8OWYFurjv44CDrRhfs1PVj3DmyqnLDOBv6liDM6Nmr6bss7Mkhz7Afq/PWe4yn2VUtRLIBxJaJbqW4c8xe7sR55tHe1bvMbvN7WRV/XdrBtaC/Pk9DwYGi8gnIrJGRKa1WnQtw59jvhe4XkSygOXAD1sntIBp6P/3etU7E5zp+ETkeiANOC/QsbQkEQkCHgbmBziU1haC07V0Pk7r8CMRGamqeYEMqoXNAZ5X1T+IyEScmSpHqKon0IG1F52l5XAASPb63Ndd5rOMiITgNEVzWiW6luHPMSMiFwL/C0xX1bJWiq2l1HfMscAI4AMR2YvTN7usnQ9K+/N7zsKZo71CVfcAO3CSRXvlzzHfCCwFUNXPgAicB9R1VH79f2+IzpIc1gODRCRVRMJwBpyX1SizDJjnvp8NvK/uSE87Ve8xi8hZwF9xEkN774eGeo5ZVfNVNVFVU1Q1BWecZbqqtuc5Zv35234dp9WAiCTidDPtbsUYm5s/x/w1MBVARIbiJIfsVo2ydS0DbnCvWpoA5KvqoaZU2Cm6lVS1UkQWACtwrnR4VlW3isj9QLqqLgOewWl6ZuIM/FwbuIibzs9j/h0QA/zTHXv/WlWnByzoJvLzmDsUP495BXCxiGQAVcDPVLXdtor9POafAE+JyI9xBqfnt+cveyLyEk6CT3THUe4BQgFU9S844yqXAZlAMfDdJu+zHf+8jDHGtJDO0q1kjDGmASw5GGOMqcWSgzHGmFosORhjjKnFkoMxxphaLDkYY4ypxZKDMcaYWv4/t5xFdeNr/9wAAAAASUVORK5CYII=\n",
"text/plain": [
"<Figure size 432x288 with 1 Axes>"
]
},
"metadata": {
"needs_background": "light"
},
"output_type": "display_data"
}
],
"source": [
"import time\n",
"\n",
"ts = time.time()\n",
"ie=gum.LazyPropagation(bn)\n",
"ie.setEvidence({'y_pred':1})\n",
"ie.makeInference()\n",
"te=time.time()\n",
"\n",
"plot(x,ie.posterior(theta_fpr)[:])\n",
"plot(x,y_theta_fpr)\n",
"t=title(\"P(theta_fpr) computed in {0:2.5f} sec\".format(te-ts))\n",
"legend([\"P(theta_fpr | y_pred = 1)\", \"P(theta_fpr)\"],loc='best');"
]
},
{
"cell_type": "code",
"execution_count": 18,
"id": "2b9d867c-8a91-4795-858a-0fb61388b9d3",
"metadata": {},
"outputs": [],
"source": [
"def idx_to_proba(idxs: list, *, domain):\n",
" \"\"\"Hepler function to realize or map an index values to the given domain\"\"\"\n",
" for idx in idxs:\n",
" print(f\"What is the probability of theta if the index is {idx}? {x[idx]}\")"
]
},
{
"cell_type": "code",
"execution_count": 19,
"id": "048500f5-30f0-4ea0-b7bf-b55030b377a2",
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"What is the probability of theta if the index is 3? 0.010033444816053512\n"
]
}
],
"source": [
"idx_to_proba([3], domain=x)"
]
},
{
"cell_type": "markdown",
"id": "5c521b66-e008-4276-a5bc-88536d5234c3",
"metadata": {},
"source": [
"#### Pop Quiz\n",
"* Before you run this we should ask our selves, if the classifier has a false positive rate equal to 1% and a false negative rate equal to 1% what should the conditional probability table look like if we know we have a negative label?\n",
"* If the `cpt` isn't filled correctly then this inference would be wrong\n",
" - setting the value of `theta_fnr`, the probability of a false negative to a fixed number, and the value of `theta_fpr`, the probability of a false positive to a fixed number\n",
" - setting the value of `y_true` to be negative\n",
" - therefore we should expect to see the chance of a false positive equal to `theta_fpr`"
]
},
{
"cell_type": "code",
"execution_count": 20,
"id": "7f8c79dd-b980-458f-85f8-b29660064a3d",
"metadata": {},
"outputs": [
{
"data": {
"image/svg+xml": [
"<svg xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\" width=\"576pt\" height=\"292pt\" viewBox=\"0.00 0.00 576.00 291.79\">\n",
"<g id=\"graph0\" class=\"graph\" transform=\"scale(.7223 .7223) rotate(0) translate(4 400)\">\n",
"<title>structs</title>\n",
"<text text-anchor=\"middle\" x=\"394.75\" y=\"-7.8\" font-family=\"Times,serif\" font-size=\"14.00\" fill=\"#4a4a4a\">Inference in 3.60ms</text>\n",
"<!-- theta_y_true -->\n",
"<g id=\"node1\" class=\"node\">\n",
"<title>theta_y_true</title>\n",
"<polygon fill=\"#e0e0e0\" stroke=\"#000000\" points=\"285,-396 0,-396 0,-266 285,-266 285,-396\"/>\n",
"<svg viewBox=\"0 0 377.628125 170.89675\" width=\"285px\" height=\"130px\" preserveAspectRatio=\"xMinYMin meet\" x=\"0\" y=\"-396\"> <metadata>\n",
" <rdf:RDF xmlns:dc=\"http://purl.org/dc/elements/1.1/\" xmlns:cc=\"http://creativecommons.org/ns#\" xmlns:rdf=\"http://www.w3.org/1999/02/22-rdf-syntax-ns#\">\n",
" <cc:Work>\n",
" <dc:type rdf:resource=\"http://purl.org/dc/dcmitype/StillImage\"/>\n",
" <dc:date>2022-07-11T02:49:38.067699</dc:date>\n",
" <dc:format>image/svg+xml</dc:format>\n",
" <dc:creator>\n",
" <cc:Agent>\n",
" <dc:title>Matplotlib v3.5.2, https://matplotlib.org/</dc:title>\n",
" </cc:Agent>\n",
" </dc:creator>\n",
" </cc:Work>\n",
" </rdf:RDF>\n",
" </metadata>\n",
" <defs>\n",
" <style type=\"text/css\">*{stroke-linejoin: round; stroke-linecap: butt}</style>\n",
" </defs>\n",
" <g id=\"figure_1\">\n",
" <g id=\"patch_1\">\n",
" <path d=\"M 0 170.89675 L 377.628125 170.89675 L 377.628125 0 L 0 0 z \" style=\"fill: #e0e0e0\"/>\n",
" </g>\n",
" <g id=\"axes_1\">\n",
" <g id=\"patch_2\">\n",
" <path d=\"M 39.228125 141.20925 L 374.028125 141.20925 L 374.028125 32.48925 L 39.228125 32.48925 z \" style=\"fill: #ffffff\"/>\n",
" </g>\n",
" <g id=\"PolyCollection_1\">\n",
" <defs>\n",
" <path id=\"m634ebbd618\" d=\"M 39.228125 -29.6875 L 39.228125 -29.6875 L 40.347857 -29.6875 L 41.46759 -29.6875 L 42.587322 -29.6875 L 43.707055 -29.6875 L 44.826787 -29.6875 L 45.94652 -29.6875 L 47.066252 -29.6875 L 48.185985 -29.6875 L 49.305717 -29.687501 L 50.425449 -29.687502 L 51.545182 -29.687504 L 52.664914 -29.687509 L 53.784647 -29.687519 L 54.904379 -29.687535 L 56.024112 -29.687564 L 57.143844 -29.68761 L 58.263577 -29.687683 L 59.383309 -29.687795 L 60.503041 -29.687963 L 61.622774 -29.688209 L 62.742506 -29.688562 L 63.862239 -29.689056 L 64.981971 -29.68974 L 66.101704 -29.690668 L 67.221436 -29.691911 L 68.341168 -29.693552 L 69.460901 -29.695694 L 70.580633 -29.698456 L 71.700366 -29.701979 L 72.820098 -29.70643 L 73.939831 -29.711998 L 75.059563 -29.718904 L 76.179296 -29.7274 L 77.299028 -29.737769 L 78.41876 -29.750332 L 79.538493 -29.765449 L 80.658225 -29.783519 L 81.777958 -29.804986 L 82.89769 -29.830338 L 84.017423 -29.86011 L 85.137155 -29.894886 L 86.256888 -29.935301 L 87.37662 -29.98204 L 88.496352 -30.035841 L 89.616085 -30.097495 L 90.735817 -30.167846 L 91.85555 -30.247792 L 92.975282 -30.338284 L 94.095015 -30.440324 L 95.214747 -30.554965 L 96.33448 -30.683311 L 97.454212 -30.826512 L 98.573944 -30.985762 L 99.693677 -31.1623 L 100.813409 -31.357402 L 101.933142 -31.572379 L 103.052874 -31.808574 L 104.172607 -32.067357 L 105.292339 -32.350119 L 106.412071 -32.658268 L 107.531804 -32.993224 L 108.651536 -33.356411 L 109.771269 -33.749253 L 110.891001 -34.173166 L 112.010734 -34.629552 L 113.130466 -35.119793 L 114.250199 -35.645241 L 115.369931 -36.207214 L 116.489663 -36.806987 L 117.609396 -37.445785 L 118.729128 -38.124774 L 119.848861 -38.845056 L 120.968593 -39.607659 L 122.088326 -40.413534 L 123.208058 -41.263541 L 124.327791 -42.158448 L 125.447523 -43.098921 L 126.567255 -44.085517 L 127.686988 -45.11868 L 128.80672 -46.198735 L 129.926453 -47.325877 L 131.046185 -48.500174 L 132.165918 -49.721555 L 133.28565 -50.98981 L 134.405383 -52.304583 L 135.525115 -53.665371 L 136.644847 -55.07152 L 137.76458 -56.522223 L 138.884312 -58.016519 L 140.004045 -59.553287 L 141.123777 -61.131255 L 142.24351 -62.74899 L 143.363242 -64.404905 L 144.482974 -66.09726 L 145.602707 -67.824159 L 146.722439 -69.583559 L 147.842172 -71.37327 L 148.961904 -73.190958 L 150.081637 -75.034152 L 151.201369 -76.900249 L 152.321102 -78.786516 L 153.440834 -80.690101 L 154.560566 -82.608039 L 155.680299 -84.537255 L 156.800031 -86.474577 L 157.919764 -88.416742 L 159.039496 -90.360408 L 160.159229 -92.302155 L 161.278961 -94.238506 L 162.398694 -96.165926 L 163.518426 -98.080842 L 164.638158 -99.979644 L 165.757891 -101.858705 L 166.877623 -103.714384 L 167.997356 -105.543042 L 169.117088 -107.341051 L 170.236821 -109.104807 L 171.356553 -110.830738 L 172.476286 -112.515319 L 173.596018 -114.155079 L 174.71575 -115.746615 L 175.835483 -117.286603 L 176.955215 -118.771806 L 178.074948 -120.199086 L 179.19468 -121.565413 L 180.314413 -122.867876 L 181.434145 -124.103692 L 182.553878 -125.270213 L 183.67361 -126.364937 L 184.793342 -127.385515 L 185.913075 -128.329757 L 187.032807 -129.195641 L 188.15254 -129.981319 L 189.272272 -130.685122 L 190.392005 -131.305564 L 191.511737 -131.84135 L 192.631469 -132.291377 L 193.751202 -132.654737 L 194.870934 -132.930722 L 195.990667 -133.118824 L 197.110399 -133.218737 L 198.230132 -133.230357 L 199.349864 -133.153782 L 200.469597 -132.98931 L 201.589329 -132.737442 L 202.709061 -132.398872 L 203.828794 -131.974493 L 204.948526 -131.465388 L 206.068259 -130.872824 L 207.187991 -130.198255 L 208.307724 -129.44331 L 209.427456 -128.60979 L 210.547189 -127.699659 L 211.666921 -126.715042 L 212.786653 -125.658214 L 213.906386 -124.531592 L 215.026118 -123.337727 L 216.145851 -122.0793 L 217.265583 -120.759106 L 218.385316 -119.380049 L 219.505048 -117.945132 L 220.624781 -116.457445 L 221.744513 -114.92016 L 222.864245 -113.336516 L 223.983978 -111.709811 L 225.10371 -110.043391 L 226.223443 -108.340641 L 227.343175 -106.604974 L 228.462908 -104.839819 L 229.58264 -103.048614 L 230.702372 -101.234794 L 231.822105 -99.401781 L 232.941837 -97.552976 L 234.06157 -95.691748 L 235.181302 -93.821424 L 236.301035 -91.945282 L 237.420767 -90.066543 L 238.5405 -88.188359 L 239.660232 -86.31381 L 240.779964 -84.445891 L 241.899697 -82.587512 L 243.019429 -80.741483 L 244.139162 -78.910516 L 245.258894 -77.097214 L 246.378627 -75.304066 L 247.498359 -73.533447 L 248.618092 -71.787608 L 249.737824 -70.068675 L 250.857556 -68.378648 L 251.977289 -66.719393 L 253.097021 -65.092645 L 254.216754 -63.500006 L 255.336486 -61.942939 L 256.456219 -60.422773 L 257.575951 -58.940702 L 258.695684 -57.497783 L 259.815416 -56.094938 L 260.935148 -54.732958 L 262.054881 -53.412499 L 263.174613 -52.134093 L 264.294346 -50.898141 L 265.414078 -49.704924 L 266.533811 -48.554602 L 267.653543 -47.447219 L 268.773276 -46.382707 L 269.893008 -45.360892 L 271.01274 -44.381496 L 272.132473 -43.444143 L 273.252205 -42.548365 L 274.371938 -41.693608 L 275.49167 -40.879233 L 276.611403 -40.104527 L 277.731135 -39.368706 L 278.850867 -38.670921 L 279.9706 -38.010263 L 281.090332 -37.385771 L 282.210065 -36.796437 L 283.329797 -36.241209 L 284.44953 -35.719001 L 285.569262 -35.228697 L 286.688995 -34.769153 L 287.808727 -34.339209 L 288.928459 -33.937689 L 290.048192 -33.563407 L 291.167924 -33.215173 L 292.287657 -32.891799 L 293.407389 -32.592099 L 294.527122 -32.314897 L 295.646854 -32.059028 L 296.766587 -31.823346 L 297.886319 -31.606723 L 299.006051 -31.408054 L 300.125784 -31.226261 L 301.245516 -31.060292 L 302.365249 -30.909128 L 303.484981 -30.771781 L 304.604714 -30.6473 L 305.724446 -30.534765 L 306.844179 -30.4333 L 307.963911 -30.342061 L 309.083643 -30.260246 L 310.203376 -30.187092 L 311.323108 -30.121875 L 312.442841 -30.063912 L 313.562573 -30.012558 L 314.682306 -29.967207 L 315.802038 -29.927292 L 316.92177 -29.892284 L 318.041503 -29.86169 L 319.161235 -29.835053 L 320.280968 -29.811953 L 321.4007 -29.791999 L 322.520433 -29.774836 L 323.640165 -29.760137 L 324.759898 -29.747606 L 325.87963 -29.736974 L 326.999362 -29.727997 L 328.119095 -29.720457 L 329.238827 -29.714158 L 330.35856 -29.708926 L 331.478292 -29.704605 L 332.598025 -29.70106 L 333.717757 -29.69817 L 334.83749 -29.69583 L 335.957222 -29.69395 L 337.076954 -29.69245 L 338.196687 -29.691264 L 339.316419 -29.690334 L 340.436152 -29.689611 L 341.555884 -29.689055 L 342.675617 -29.688632 L 343.795349 -29.688313 L 344.915082 -29.688076 L 346.034814 -29.687902 L 347.154546 -29.687776 L 348.274279 -29.687687 L 349.394011 -29.687624 L 350.513744 -29.68758 L 351.633476 -29.687551 L 352.753209 -29.687531 L 353.872941 -29.687519 L 354.992673 -29.687511 L 356.112406 -29.687506 L 357.232138 -29.687503 L 358.351871 -29.687502 L 359.471603 -29.687501 L 360.591336 -29.6875 L 361.711068 -29.6875 L 362.830801 -29.6875 L 363.950533 -29.6875 L 365.070265 -29.6875 L 366.189998 -29.6875 L 367.30973 -29.6875 L 368.429463 -29.6875 L 369.549195 -29.6875 L 370.668928 -29.6875 L 371.78866 -29.6875 L 372.908393 -29.6875 L 374.028125 -29.6875 L 374.028125 -29.6875 L 374.028125 -29.6875 L 372.908393 -29.6875 L 371.78866 -29.6875 L 370.668928 -29.6875 L 369.549195 -29.6875 L 368.429463 -29.6875 L 367.30973 -29.6875 L 366.189998 -29.6875 L 365.070265 -29.6875 L 363.950533 -29.6875 L 362.830801 -29.6875 L 361.711068 -29.6875 L 360.591336 -29.6875 L 359.471603 -29.6875 L 358.351871 -29.6875 L 357.232138 -29.6875 L 356.112406 -29.6875 L 354.992673 -29.6875 L 353.872941 -29.6875 L 352.753209 -29.6875 L 351.633476 -29.6875 L 350.513744 -29.6875 L 349.394011 -29.6875 L 348.274279 -29.6875 L 347.154546 -29.6875 L 346.034814 -29.6875 L 344.915082 -29.6875 L 343.795349 -29.6875 L 342.675617 -29.6875 L 341.555884 -29.6875 L 340.436152 -29.6875 L 339.316419 -29.6875 L 338.196687 -29.6875 L 337.076954 -29.6875 L 335.957222 -29.6875 L 334.83749 -29.6875 L 333.717757 -29.6875 L 332.598025 -29.6875 L 331.478292 -29.6875 L 330.35856 -29.6875 L 329.238827 -29.6875 L 328.119095 -29.6875 L 326.999362 -29.6875 L 325.87963 -29.6875 L 324.759898 -29.6875 L 323.640165 -29.6875 L 322.520433 -29.6875 L 321.4007 -29.6875 L 320.280968 -29.6875 L 319.161235 -29.6875 L 318.041503 -29.6875 L 316.92177 -29.6875 L 315.802038 -29.6875 L 314.682306 -29.6875 L 313.562573 -29.6875 L 312.442841 -29.6875 L 311.323108 -29.6875 L 310.203376 -29.6875 L 309.083643 -29.6875 L 307.963911 -29.6875 L 306.844179 -29.6875 L 305.724446 -29.6875 L 304.604714 -29.6875 L 303.484981 -29.6875 L 302.365249 -29.6875 L 301.245516 -29.6875 L 300.125784 -29.6875 L 299.006051 -29.6875 L 297.886319 -29.6875 L 296.766587 -29.6875 L 295.646854 -29.6875 L 294.527122 -29.6875 L 293.407389 -29.6875 L 292.287657 -29.6875 L 291.167924 -29.6875 L 290.048192 -29.6875 L 288.928459 -29.6875 L 287.808727 -29.6875 L 286.688995 -29.6875 L 285.569262 -29.6875 L 284.44953 -29.6875 L 283.329797 -29.6875 L 282.210065 -29.6875 L 281.090332 -29.6875 L 279.9706 -29.6875 L 278.850867 -29.6875 L 277.731135 -29.6875 L 276.611403 -29.6875 L 275.49167 -29.6875 L 274.371938 -29.6875 L 273.252205 -29.6875 L 272.132473 -29.6875 L 271.01274 -29.6875 L 269.893008 -29.6875 L 268.773276 -29.6875 L 267.653543 -29.6875 L 266.533811 -29.6875 L 265.414078 -29.6875 L 264.294346 -29.6875 L 263.174613 -29.6875 L 262.054881 -29.6875 L 260.935148 -29.6875 L 259.815416 -29.6875 L 258.695684 -29.6875 L 257.575951 -29.6875 L 256.456219 -29.6875 L 255.336486 -29.6875 L 254.216754 -29.6875 L 253.097021 -29.6875 L 251.977289 -29.6875 L 250.857556 -29.6875 L 249.737824 -29.6875 L 248.618092 -29.6875 L 247.498359 -29.6875 L 246.378627 -29.6875 L 245.258894 -29.6875 L 244.139162 -29.6875 L 243.019429 -29.6875 L 241.899697 -29.6875 L 240.779964 -29.6875 L 239.660232 -29.6875 L 238.5405 -29.6875 L 237.420767 -29.6875 L 236.301035 -29.6875 L 235.181302 -29.6875 L 234.06157 -29.6875 L 232.941837 -29.6875 L 231.822105 -29.6875 L 230.702372 -29.6875 L 229.58264 -29.6875 L 228.462908 -29.6875 L 227.343175 -29.6875 L 226.223443 -29.6875 L 225.10371 -29.6875 L 223.983978 -29.6875 L 222.864245 -29.6875 L 221.744513 -29.6875 L 220.624781 -29.6875 L 219.505048 -29.6875 L 218.385316 -29.6875 L 217.265583 -29.6875 L 216.145851 -29.6875 L 215.026118 -29.6875 L 213.906386 -29.6875 L 212.786653 -29.6875 L 211.666921 -29.6875 L 210.547189 -29.6875 L 209.427456 -29.6875 L 208.307724 -29.6875 L 207.187991 -29.6875 L 206.068259 -29.6875 L 204.948526 -29.6875 L 203.828794 -29.6875 L 202.709061 -29.6875 L 201.589329 -29.6875 L 200.469597 -29.6875 L 199.349864 -29.6875 L 198.230132 -29.6875 L 197.110399 -29.6875 L 195.990667 -29.6875 L 194.870934 -29.6875 L 193.751202 -29.6875 L 192.631469 -29.6875 L 191.511737 -29.6875 L 190.392005 -29.6875 L 189.272272 -29.6875 L 188.15254 -29.6875 L 187.032807 -29.6875 L 185.913075 -29.6875 L 184.793342 -29.6875 L 183.67361 -29.6875 L 182.553878 -29.6875 L 181.434145 -29.6875 L 180.314413 -29.6875 L 179.19468 -29.6875 L 178.074948 -29.6875 L 176.955215 -29.6875 L 175.835483 -29.6875 L 174.71575 -29.6875 L 173.596018 -29.6875 L 172.476286 -29.6875 L 171.356553 -29.6875 L 170.236821 -29.6875 L 169.117088 -29.6875 L 167.997356 -29.6875 L 166.877623 -29.6875 L 165.757891 -29.6875 L 164.638158 -29.6875 L 163.518426 -29.6875 L 162.398694 -29.6875 L 161.278961 -29.6875 L 160.159229 -29.6875 L 159.039496 -29.6875 L 157.919764 -29.6875 L 156.800031 -29.6875 L 155.680299 -29.6875 L 154.560566 -29.6875 L 153.440834 -29.6875 L 152.321102 -29.6875 L 151.201369 -29.6875 L 150.081637 -29.6875 L 148.961904 -29.6875 L 147.842172 -29.6875 L 146.722439 -29.6875 L 145.602707 -29.6875 L 144.482974 -29.6875 L 143.363242 -29.6875 L 142.24351 -29.6875 L 141.123777 -29.6875 L 140.004045 -29.6875 L 138.884312 -29.6875 L 137.76458 -29.6875 L 136.644847 -29.6875 L 135.525115 -29.6875 L 134.405383 -29.6875 L 133.28565 -29.6875 L 132.165918 -29.6875 L 131.046185 -29.6875 L 129.926453 -29.6875 L 128.80672 -29.6875 L 127.686988 -29.6875 L 126.567255 -29.6875 L 125.447523 -29.6875 L 124.327791 -29.6875 L 123.208058 -29.6875 L 122.088326 -29.6875 L 120.968593 -29.6875 L 119.848861 -29.6875 L 118.729128 -29.6875 L 117.609396 -29.6875 L 116.489663 -29.6875 L 115.369931 -29.6875 L 114.250199 -29.6875 L 113.130466 -29.6875 L 112.010734 -29.6875 L 110.891001 -29.6875 L 109.771269 -29.6875 L 108.651536 -29.6875 L 107.531804 -29.6875 L 106.412071 -29.6875 L 105.292339 -29.6875 L 104.172607 -29.6875 L 103.052874 -29.6875 L 101.933142 -29.6875 L 100.813409 -29.6875 L 99.693677 -29.6875 L 98.573944 -29.6875 L 97.454212 -29.6875 L 96.33448 -29.6875 L 95.214747 -29.6875 L 94.095015 -29.6875 L 92.975282 -29.6875 L 91.85555 -29.6875 L 90.735817 -29.6875 L 89.616085 -29.6875 L 88.496352 -29.6875 L 87.37662 -29.6875 L 86.256888 -29.6875 L 85.137155 -29.6875 L 84.017423 -29.6875 L 82.89769 -29.6875 L 81.777958 -29.6875 L 80.658225 -29.6875 L 79.538493 -29.6875 L 78.41876 -29.6875 L 77.299028 -29.6875 L 76.179296 -29.6875 L 75.059563 -29.6875 L 73.939831 -29.6875 L 72.820098 -29.6875 L 71.700366 -29.6875 L 70.580633 -29.6875 L 69.460901 -29.6875 L 68.341168 -29.6875 L 67.221436 -29.6875 L 66.101704 -29.6875 L 64.981971 -29.6875 L 63.862239 -29.6875 L 62.742506 -29.6875 L 61.622774 -29.6875 L 60.503041 -29.6875 L 59.383309 -29.6875 L 58.263577 -29.6875 L 57.143844 -29.6875 L 56.024112 -29.6875 L 54.904379 -29.6875 L 53.784647 -29.6875 L 52.664914 -29.6875 L 51.545182 -29.6875 L 50.425449 -29.6875 L 49.305717 -29.6875 L 48.185985 -29.6875 L 47.066252 -29.6875 L 45.94652 -29.6875 L 44.826787 -29.6875 L 43.707055 -29.6875 L 42.587322 -29.6875 L 41.46759 -29.6875 L 40.347857 -29.6875 L 39.228125 -29.6875 z \" style=\"stroke: #8fbc8f\"/>\n",
" </defs>\n",
" <g clip-path=\"url(#p3848b3e717)\">\n",
" <use xlink:href=\"#m634ebbd618\" x=\"0\" y=\"170.89675\" style=\"fill: #8fbc8f; stroke: #8fbc8f\"/>\n",
" </g>\n",
" </g>\n",
" <g id=\"matplotlib.axis_1\">\n",
" <g id=\"xtick_1\">\n",
" <g id=\"line2d_1\">\n",
" <path d=\"M 39.228125 141.20925 L 39.228125 32.48925 \" clip-path=\"url(#p3848b3e717)\" style=\"fill: none; stroke: #b0b0b0; stroke-width: 0.8; stroke-linecap: square\"/>\n",
" </g>\n",
" <g id=\"line2d_2\">\n",
" <defs>\n",
" <path id=\"mb6d49ba1e6\" d=\"M 0 0 L 0 3.5 \" style=\"stroke: #000000; stroke-width: 0.8\"/>\n",
" </defs>\n",
" <g>\n",
" <use xlink:href=\"#mb6d49ba1e6\" x=\"39.228125\" y=\"141.20925\" style=\"stroke: #000000; stroke-width: 0.8\"/>\n",
" </g>\n",
" </g>\n",
" <g id=\"text_1\">\n",
" <!-- 0 -->\n",
" <g transform=\"translate(41.9875 154.57175)rotate(-90)scale(0.1 -0.1)\">\n",
" <defs>\n",
" <path id=\"DejaVuSans-30\" d=\"M 2034 4250 Q 1547 4250 1301 3770 Q 1056 3291 1056 2328 Q 1056 1369 1301 889 Q 1547 409 2034 409 Q 2525 409 2770 889 Q 3016 1369 3016 2328 Q 3016 3291 2770 3770 Q 2525 4250 2034 4250 z M 2034 4750 Q 2819 4750 3233 4129 Q 3647 3509 3647 2328 Q 3647 1150 3233 529 Q 2819 -91 2034 -91 Q 1250 -91 836 529 Q 422 1150 422 2328 Q 422 3509 836 4129 Q 1250 4750 2034 4750 z \" transform=\"scale(0.015625)\"/>\n",
" </defs>\n",
" <use xlink:href=\"#DejaVuSans-30\"/>\n",
" </g>\n",
" </g>\n",
" </g>\n",
" <g id=\"xtick_2\">\n",
" <g id=\"line2d_3\">\n",
" <path d=\"M 61.622774 141.20925 L 61.622774 32.48925 \" clip-path=\"url(#p3848b3e717)\" style=\"fill: none; stroke: #b0b0b0; stroke-width: 0.8; stroke-linecap: square\"/>\n",
" </g>\n",
" <g id=\"line2d_4\">\n",
" <g>\n",
" <use xlink:href=\"#mb6d49ba1e6\" x=\"61.622774\" y=\"141.20925\" style=\"stroke: #000000; stroke-width: 0.8\"/>\n",
" </g>\n",
" </g>\n",
" <g id=\"text_2\">\n",
" <!-- 20 -->\n",
" <g transform=\"translate(64.382149 160.93425)rotate(-90)scale(0.1 -0.1)\">\n",
" <defs>\n",
" <path id=\"DejaVuSans-32\" d=\"M 1228 531 L 3431 531 L 3431 0 L 469 0 L 469 531 Q 828 903 1448 1529 Q 2069 2156 2228 2338 Q 2531 2678 2651 2914 Q 2772 3150 2772 3378 Q 2772 3750 2511 3984 Q 2250 4219 1831 4219 Q 1534 4219 1204 4116 Q 875 4013 500 3803 L 500 4441 Q 881 4594 1212 4672 Q 1544 4750 1819 4750 Q 2544 4750 2975 4387 Q 3406 4025 3406 3419 Q 3406 3131 3298 2873 Q 3191 2616 2906 2266 Q 2828 2175 2409 1742 Q 1991 1309 1228 531 z \" transform=\"scale(0.015625)\"/>\n",
" </defs>\n",
" <use xlink:href=\"#DejaVuSans-32\"/>\n",
" <use xlink:href=\"#DejaVuSans-30\" x=\"63.623047\"/>\n",
" </g>\n",
" </g>\n",
" </g>\n",
" <g id=\"xtick_3\">\n",
" <g id=\"line2d_5\">\n",
" <path d=\"M 84.017423 141.20925 L 84.017423 32.48925 \" clip-path=\"url(#p3848b3e717)\" style=\"fill: none; stroke: #b0b0b0; stroke-width: 0.8; stroke-linecap: square\"/>\n",
" </g>\n",
" <g id=\"line2d_6\">\n",
" <g>\n",
" <use xlink:href=\"#mb6d49ba1e6\" x=\"84.017423\" y=\"141.20925\" style=\"stroke: #000000; stroke-width: 0.8\"/>\n",
" </g>\n",
" </g>\n",
" <g id=\"text_3\">\n",
" <!-- 40 -->\n",
" <g transform=\"translate(86.776798 160.93425)rotate(-90)scale(0.1 -0.1)\">\n",
" <defs>\n",
" <path id=\"DejaVuSans-34\" d=\"M 2419 4116 L 825 1625 L 2419 1625 L 2419 4116 z M 2253 4666 L 3047 4666 L 3047 1625 L 3713 1625 L 3713 1100 L 3047 1100 L 3047 0 L 2419 0 L 2419 1100 L 313 1100 L 313 1709 L 2253 4666 z \" transform=\"scale(0.015625)\"/>\n",
" </defs>\n",
" <use xlink:href=\"#DejaVuSans-34\"/>\n",
" <use xlink:href=\"#DejaVuSans-30\" x=\"63.623047\"/>\n",
" </g>\n",
" </g>\n",
" </g>\n",
" <g id=\"xtick_4\">\n",
" <g id=\"line2d_7\">\n",
" <path d=\"M 106.412071 141.20925 L 106.412071 32.48925 \" clip-path=\"url(#p3848b3e717)\" style=\"fill: none; stroke: #b0b0b0; stroke-width: 0.8; stroke-linecap: square\"/>\n",
" </g>\n",
" <g id=\"line2d_8\">\n",
" <g>\n",
" <use xlink:href=\"#mb6d49ba1e6\" x=\"106.412071\" y=\"141.20925\" style=\"stroke: #000000; stroke-width: 0.8\"/>\n",
" </g>\n",
" </g>\n",
" <g id=\"text_4\">\n",
" <!-- 60 -->\n",
" <g transform=\"translate(109.171446 160.93425)rotate(-90)scale(0.1 -0.1)\">\n",
" <defs>\n",
" <path id=\"DejaVuSans-36\" d=\"M 2113 2584 Q 1688 2584 1439 2293 Q 1191 2003 1191 1497 Q 1191 994 1439 701 Q 1688 409 2113 409 Q 2538 409 2786 701 Q 3034 994 3034 1497 Q 3034 2003 2786 2293 Q 2538 2584 2113 2584 z M 3366 4563 L 3366 3988 Q 3128 4100 2886 4159 Q 2644 4219 2406 4219 Q 1781 4219 1451 3797 Q 1122 3375 1075 2522 Q 1259 2794 1537 2939 Q 1816 3084 2150 3084 Q 2853 3084 3261 2657 Q 3669 2231 3669 1497 Q 3669 778 3244 343 Q 2819 -91 2113 -91 Q 1303 -91 875 529 Q 447 1150 447 2328 Q 447 3434 972 4092 Q 1497 4750 2381 4750 Q 2619 4750 2861 4703 Q 3103 4656 3366 4563 z \" transform=\"scale(0.015625)\"/>\n",
" </defs>\n",
" <use xlink:href=\"#DejaVuSans-36\"/>\n",
" <use xlink:href=\"#DejaVuSans-30\" x=\"63.623047\"/>\n",
" </g>\n",
" </g>\n",
" </g>\n",
" <g id=\"xtick_5\">\n",
" <g id=\"line2d_9\">\n",
" <path d=\"M 128.80672 141.20925 L 128.80672 32.48925 \" clip-path=\"url(#p3848b3e717)\" style=\"fill: none; stroke: #b0b0b0; stroke-width: 0.8; stroke-linecap: square\"/>\n",
" </g>\n",
" <g id=\"line2d_10\">\n",
" <g>\n",
" <use xlink:href=\"#mb6d49ba1e6\" x=\"128.80672\" y=\"141.20925\" style=\"stroke: #000000; stroke-width: 0.8\"/>\n",
" </g>\n",
" </g>\n",
" <g id=\"text_5\">\n",
" <!-- 80 -->\n",
" <g transform=\"translate(131.566095 160.93425)rotate(-90)scale(0.1 -0.1)\">\n",
" <defs>\n",
" <path id=\"DejaVuSans-38\" d=\"M 2034 2216 Q 1584 2216 1326 1975 Q 1069 1734 1069 1313 Q 1069 891 1326 650 Q 1584 409 2034 409 Q 2484 409 2743 651 Q 3003 894 3003 1313 Q 3003 1734 2745 1975 Q 2488 2216 2034 2216 z M 1403 2484 Q 997 2584 770 2862 Q 544 3141 544 3541 Q 544 4100 942 4425 Q 1341 4750 2034 4750 Q 2731 4750 3128 4425 Q 3525 4100 3525 3541 Q 3525 3141 3298 2862 Q 3072 2584 2669 2484 Q 3125 2378 3379 2068 Q 3634 1759 3634 1313 Q 3634 634 3220 271 Q 2806 -91 2034 -91 Q 1263 -91 848 271 Q 434 634 434 1313 Q 434 1759 690 2068 Q 947 2378 1403 2484 z M 1172 3481 Q 1172 3119 1398 2916 Q 1625 2713 2034 2713 Q 2441 2713 2670 2916 Q 2900 3119 2900 3481 Q 2900 3844 2670 4047 Q 2441 4250 2034 4250 Q 1625 4250 1398 4047 Q 1172 3844 1172 3481 z \" transform=\"scale(0.015625)\"/>\n",
" </defs>\n",
" <use xlink:href=\"#DejaVuSans-38\"/>\n",
" <use xlink:href=\"#DejaVuSans-30\" x=\"63.623047\"/>\n",
" </g>\n",
" </g>\n",
" </g>\n",
" <g id=\"xtick_6\">\n",
" <g id=\"line2d_11\">\n",
" <path d=\"M 151.201369 141.20925 L 151.201369 32.48925 \" clip-path=\"url(#p3848b3e717)\" style=\"fill: none; stroke: #b0b0b0; stroke-width: 0.8; stroke-linecap: square\"/>\n",
" </g>\n",
" <g id=\"line2d_12\">\n",
" <g>\n",
" <use xlink:href=\"#mb6d49ba1e6\" x=\"151.201369\" y=\"141.20925\" style=\"stroke: #000000; stroke-width: 0.8\"/>\n",
" </g>\n",
" </g>\n",
" <g id=\"text_6\">\n",
" <!-- 100 -->\n",
" <g transform=\"translate(153.960744 167.29675)rotate(-90)scale(0.1 -0.1)\">\n",
" <defs>\n",
" <path id=\"DejaVuSans-31\" d=\"M 794 531 L 1825 531 L 1825 4091 L 703 3866 L 703 4441 L 1819 4666 L 2450 4666 L 2450 531 L 3481 531 L 3481 0 L 794 0 L 794 531 z \" transform=\"scale(0.015625)\"/>\n",
" </defs>\n",
" <use xlink:href=\"#DejaVuSans-31\"/>\n",
" <use xlink:href=\"#DejaVuSans-30\" x=\"63.623047\"/>\n",
" <use xlink:href=\"#DejaVuSans-30\" x=\"127.246094\"/>\n",
" </g>\n",
" </g>\n",
" </g>\n",
" <g id=\"xtick_7\">\n",
" <g id=\"line2d_13\">\n",
" <path d=\"M 173.596018 141.20925 L 173.596018 32.48925 \" clip-path=\"url(#p3848b3e717)\" style=\"fill: none; stroke: #b0b0b0; stroke-width: 0.8; stroke-linecap: square\"/>\n",
" </g>\n",
" <g id=\"line2d_14\">\n",
" <g>\n",
" <use xlink:href=\"#mb6d49ba1e6\" x=\"173.596018\" y=\"141.20925\" style=\"stroke: #000000; stroke-width: 0.8\"/>\n",
" </g>\n",
" </g>\n",
" <g id=\"text_7\">\n",
" <!-- 120 -->\n",
" <g transform=\"translate(176.355393 167.29675)rotate(-90)scale(0.1 -0.1)\">\n",
" <use xlink:href=\"#DejaVuSans-31\"/>\n",
" <use xlink:href=\"#DejaVuSans-32\" x=\"63.623047\"/>\n",
" <use xlink:href=\"#DejaVuSans-30\" x=\"127.246094\"/>\n",
" </g>\n",
" </g>\n",
" </g>\n",
" <g id=\"xtick_8\">\n",
" <g id=\"line2d_15\">\n",
" <path d=\"M 195.990667 141.20925 L 195.990667 32.48925 \" clip-path=\"url(#p3848b3e717)\" style=\"fill: none; stroke: #b0b0b0; stroke-width: 0.8; stroke-linecap: square\"/>\n",
" </g>\n",
" <g id=\"line2d_16\">\n",
" <g>\n",
" <use xlink:href=\"#mb6d49ba1e6\" x=\"195.990667\" y=\"141.20925\" style=\"stroke: #000000; stroke-width: 0.8\"/>\n",
" </g>\n",
" </g>\n",
" <g id=\"text_8\">\n",
" <!-- 140 -->\n",
" <g transform=\"translate(198.750042 167.29675)rotate(-90)scale(0.1 -0.1)\">\n",
" <use xlink:href=\"#DejaVuSans-31\"/>\n",
" <use xlink:href=\"#DejaVuSans-34\" x=\"63.623047\"/>\n",
" <use xlink:href=\"#DejaVuSans-30\" x=\"127.246094\"/>\n",
" </g>\n",
" </g>\n",
" </g>\n",
" <g id=\"xtick_9\">\n",
" <g id=\"line2d_17\">\n",
" <path d=\"M 218.385316 141.20925 L 218.385316 32.48925 \" clip-path=\"url(#p3848b3e717)\" style=\"fill: none; stroke: #b0b0b0; stroke-width: 0.8; stroke-linecap: square\"/>\n",
" </g>\n",
" <g id=\"line2d_18\">\n",
" <g>\n",
" <use xlink:href=\"#mb6d49ba1e6\" x=\"218.385316\" y=\"141.20925\" style=\"stroke: #000000; stroke-width: 0.8\"/>\n",
" </g>\n",
" </g>\n",
" <g id=\"text_9\">\n",
" <!-- 160 -->\n",
" <g transform=\"translate(221.144691 167.29675)rotate(-90)scale(0.1 -0.1)\">\n",
" <use xlink:href=\"#DejaVuSans-31\"/>\n",
" <use xlink:href=\"#DejaVuSans-36\" x=\"63.623047\"/>\n",
" <use xlink:href=\"#DejaVuSans-30\" x=\"127.246094\"/>\n",
" </g>\n",
" </g>\n",
" </g>\n",
" <g id=\"xtick_10\">\n",
" <g id=\"line2d_19\">\n",
" <path d=\"M 240.779964 141.20925 L 240.779964 32.48925 \" clip-path=\"url(#p3848b3e717)\" style=\"fill: none; stroke: #b0b0b0; stroke-width: 0.8; stroke-linecap: square\"/>\n",
" </g>\n",
" <g id=\"line2d_20\">\n",
" <g>\n",
" <use xlink:href=\"#mb6d49ba1e6\" x=\"240.779964\" y=\"141.20925\" style=\"stroke: #000000; stroke-width: 0.8\"/>\n",
" </g>\n",
" </g>\n",
" <g id=\"text_10\">\n",
" <!-- 180 -->\n",
" <g transform=\"translate(243.539339 167.29675)rotate(-90)scale(0.1 -0.1)\">\n",
" <use xlink:href=\"#DejaVuSans-31\"/>\n",
" <use xlink:href=\"#DejaVuSans-38\" x=\"63.623047\"/>\n",
" <use xlink:href=\"#DejaVuSans-30\" x=\"127.246094\"/>\n",
" </g>\n",
" </g>\n",
" </g>\n",
" <g id=\"xtick_11\">\n",
" <g id=\"line2d_21\">\n",
" <path d=\"M 263.174613 141.20925 L 263.174613 32.48925 \" clip-path=\"url(#p3848b3e717)\" style=\"fill: none; stroke: #b0b0b0; stroke-width: 0.8; stroke-linecap: square\"/>\n",
" </g>\n",
" <g id=\"line2d_22\">\n",
" <g>\n",
" <use xlink:href=\"#mb6d49ba1e6\" x=\"263.174613\" y=\"141.20925\" style=\"stroke: #000000; stroke-width: 0.8\"/>\n",
" </g>\n",
" </g>\n",
" <g id=\"text_11\">\n",
" <!-- 200 -->\n",
" <g transform=\"translate(265.933988 167.29675)rotate(-90)scale(0.1 -0.1)\">\n",
" <use xlink:href=\"#DejaVuSans-32\"/>\n",
" <use xlink:href=\"#DejaVuSans-30\" x=\"63.623047\"/>\n",
" <use xlink:href=\"#DejaVuSans-30\" x=\"127.246094\"/>\n",
" </g>\n",
" </g>\n",
" </g>\n",
" <g id=\"xtick_12\">\n",
" <g id=\"line2d_23\">\n",
" <path d=\"M 285.569262 141.20925 L 285.569262 32.48925 \" clip-path=\"url(#p3848b3e717)\" style=\"fill: none; stroke: #b0b0b0; stroke-width: 0.8; stroke-linecap: square\"/>\n",
" </g>\n",
" <g id=\"line2d_24\">\n",
" <g>\n",
" <use xlink:href=\"#mb6d49ba1e6\" x=\"285.569262\" y=\"141.20925\" style=\"stroke: #000000; stroke-width: 0.8\"/>\n",
" </g>\n",
" </g>\n",
" <g id=\"text_12\">\n",
" <!-- 220 -->\n",
" <g transform=\"translate(288.328637 167.29675)rotate(-90)scale(0.1 -0.1)\">\n",
" <use xlink:href=\"#DejaVuSans-32\"/>\n",
" <use xlink:href=\"#DejaVuSans-32\" x=\"63.623047\"/>\n",
" <use xlink:href=\"#DejaVuSans-30\" x=\"127.246094\"/>\n",
" </g>\n",
" </g>\n",
" </g>\n",
" <g id=\"xtick_13\">\n",
" <g id=\"line2d_25\">\n",
" <path d=\"M 307.963911 141.20925 L 307.963911 32.48925 \" clip-path=\"url(#p3848b3e717)\" style=\"fill: none; stroke: #b0b0b0; stroke-width: 0.8; stroke-linecap: square\"/>\n",
" </g>\n",
" <g id=\"line2d_26\">\n",
" <g>\n",
" <use xlink:href=\"#mb6d49ba1e6\" x=\"307.963911\" y=\"141.20925\" style=\"stroke: #000000; stroke-width: 0.8\"/>\n",
" </g>\n",
" </g>\n",
" <g id=\"text_13\">\n",
" <!-- 240 -->\n",
" <g transform=\"translate(310.723286 167.29675)rotate(-90)scale(0.1 -0.1)\">\n",
" <use xlink:href=\"#DejaVuSans-32\"/>\n",
" <use xlink:href=\"#DejaVuSans-34\" x=\"63.623047\"/>\n",
" <use xlink:href=\"#DejaVuSans-30\" x=\"127.246094\"/>\n",
" </g>\n",
" </g>\n",
" </g>\n",
" <g id=\"xtick_14\">\n",
" <g id=\"line2d_27\">\n",
" <path d=\"M 330.35856 141.20925 L 330.35856 32.48925 \" clip-path=\"url(#p3848b3e717)\" style=\"fill: none; stroke: #b0b0b0; stroke-width: 0.8; stroke-linecap: square\"/>\n",
" </g>\n",
" <g id=\"line2d_28\">\n",
" <g>\n",
" <use xlink:href=\"#mb6d49ba1e6\" x=\"330.35856\" y=\"141.20925\" style=\"stroke: #000000; stroke-width: 0.8\"/>\n",
" </g>\n",
" </g>\n",
" <g id=\"text_14\">\n",
" <!-- 260 -->\n",
" <g transform=\"translate(333.117935 167.29675)rotate(-90)scale(0.1 -0.1)\">\n",
" <use xlink:href=\"#DejaVuSans-32\"/>\n",
" <use xlink:href=\"#DejaVuSans-36\" x=\"63.623047\"/>\n",
" <use xlink:href=\"#DejaVuSans-30\" x=\"127.246094\"/>\n",
" </g>\n",
" </g>\n",
" </g>\n",
" <g id=\"xtick_15\">\n",
" <g id=\"line2d_29\">\n",
" <path d=\"M 352.753209 141.20925 L 352.753209 32.48925 \" clip-path=\"url(#p3848b3e717)\" style=\"fill: none; stroke: #b0b0b0; stroke-width: 0.8; stroke-linecap: square\"/>\n",
" </g>\n",
" <g id=\"line2d_30\">\n",
" <g>\n",
" <use xlink:href=\"#mb6d49ba1e6\" x=\"352.753209\" y=\"141.20925\" style=\"stroke: #000000; stroke-width: 0.8\"/>\n",
" </g>\n",
" </g>\n",
" <g id=\"text_15\">\n",
" <!-- 280 -->\n",
" <g transform=\"translate(355.512584 167.29675)rotate(-90)scale(0.1 -0.1)\">\n",
" <use xlink:href=\"#DejaVuSans-32\"/>\n",
" <use xlink:href=\"#DejaVuSans-38\" x=\"63.623047\"/>\n",
" <use xlink:href=\"#DejaVuSans-30\" x=\"127.246094\"/>\n",
" </g>\n",
" </g>\n",
" </g>\n",
" </g>\n",
" <g id=\"matplotlib.axis_2\">\n",
" <g id=\"ytick_1\">\n",
" <g id=\"line2d_31\">\n",
" <path d=\"M 39.228125 141.20925 L 374.028125 141.20925 \" clip-path=\"url(#p3848b3e717)\" style=\"fill: none; stroke: #b0b0b0; stroke-width: 0.8; stroke-linecap: square\"/>\n",
" </g>\n",
" <g id=\"line2d_32\">\n",
" <defs>\n",
" <path id=\"mf015d00b05\" d=\"M 0 0 L -3.5 0 \" style=\"stroke: #000000; stroke-width: 0.8\"/>\n",
" </defs>\n",
" <g>\n",
" <use xlink:href=\"#mf015d00b05\" x=\"39.228125\" y=\"141.20925\" style=\"stroke: #000000; stroke-width: 0.8\"/>\n",
" </g>\n",
" </g>\n",
" <g id=\"text_16\">\n",
" <!-- 0.000 -->\n",
" <g transform=\"translate(3.6 145.008469)scale(0.1 -0.1)\">\n",
" <defs>\n",
" <path id=\"DejaVuSans-2e\" d=\"M 684 794 L 1344 794 L 1344 0 L 684 0 L 684 794 z \" transform=\"scale(0.015625)\"/>\n",
" </defs>\n",
" <use xlink:href=\"#DejaVuSans-30\"/>\n",
" <use xlink:href=\"#DejaVuSans-2e\" x=\"63.623047\"/>\n",
" <use xlink:href=\"#DejaVuSans-30\" x=\"95.410156\"/>\n",
" <use xlink:href=\"#DejaVuSans-30\" x=\"159.033203\"/>\n",
" <use xlink:href=\"#DejaVuSans-30\" x=\"222.65625\"/>\n",
" </g>\n",
" </g>\n",
" </g>\n",
" <g id=\"ytick_2\">\n",
" <g id=\"line2d_33\">\n",
" <path d=\"M 39.228125 98.421077 L 374.028125 98.421077 \" clip-path=\"url(#p3848b3e717)\" style=\"fill: none; stroke: #b0b0b0; stroke-width: 0.8; stroke-linecap: square\"/>\n",
" </g>\n",
" <g id=\"line2d_34\">\n",
" <g>\n",
" <use xlink:href=\"#mf015d00b05\" x=\"39.228125\" y=\"98.421077\" style=\"stroke: #000000; stroke-width: 0.8\"/>\n",
" </g>\n",
" </g>\n",
" <g id=\"text_17\">\n",
" <!-- 0.005 -->\n",
" <g transform=\"translate(3.6 102.220296)scale(0.1 -0.1)\">\n",
" <defs>\n",
" <path id=\"DejaVuSans-35\" d=\"M 691 4666 L 3169 4666 L 3169 4134 L 1269 4134 L 1269 2991 Q 1406 3038 1543 3061 Q 1681 3084 1819 3084 Q 2600 3084 3056 2656 Q 3513 2228 3513 1497 Q 3513 744 3044 326 Q 2575 -91 1722 -91 Q 1428 -91 1123 -41 Q 819 9 494 109 L 494 744 Q 775 591 1075 516 Q 1375 441 1709 441 Q 2250 441 2565 725 Q 2881 1009 2881 1497 Q 2881 1984 2565 2268 Q 2250 2553 1709 2553 Q 1456 2553 1204 2497 Q 953 2441 691 2322 L 691 4666 z \" transform=\"scale(0.015625)\"/>\n",
" </defs>\n",
" <use xlink:href=\"#DejaVuSans-30\"/>\n",
" <use xlink:href=\"#DejaVuSans-2e\" x=\"63.623047\"/>\n",
" <use xlink:href=\"#DejaVuSans-30\" x=\"95.410156\"/>\n",
" <use xlink:href=\"#DejaVuSans-30\" x=\"159.033203\"/>\n",
" <use xlink:href=\"#DejaVuSans-35\" x=\"222.65625\"/>\n",
" </g>\n",
" </g>\n",
" </g>\n",
" <g id=\"ytick_3\">\n",
" <g id=\"line2d_35\">\n",
" <path d=\"M 39.228125 55.632904 L 374.028125 55.632904 \" clip-path=\"url(#p3848b3e717)\" style=\"fill: none; stroke: #b0b0b0; stroke-width: 0.8; stroke-linecap: square\"/>\n",
" </g>\n",
" <g id=\"line2d_36\">\n",
" <g>\n",
" <use xlink:href=\"#mf015d00b05\" x=\"39.228125\" y=\"55.632904\" style=\"stroke: #000000; stroke-width: 0.8\"/>\n",
" </g>\n",
" </g>\n",
" <g id=\"text_18\">\n",
" <!-- 0.010 -->\n",
" <g transform=\"translate(3.6 59.432123)scale(0.1 -0.1)\">\n",
" <use xlink:href=\"#DejaVuSans-30\"/>\n",
" <use xlink:href=\"#DejaVuSans-2e\" x=\"63.623047\"/>\n",
" <use xlink:href=\"#DejaVuSans-30\" x=\"95.410156\"/>\n",
" <use xlink:href=\"#DejaVuSans-31\" x=\"159.033203\"/>\n",
" <use xlink:href=\"#DejaVuSans-30\" x=\"222.65625\"/>\n",
" </g>\n",
" </g>\n",
" </g>\n",
" </g>\n",
" <g id=\"patch_3\">\n",
" <path d=\"M 39.228125 141.20925 L 39.228125 32.48925 \" style=\"fill: none; stroke: #000000; stroke-width: 0.8; stroke-linejoin: miter; stroke-linecap: square\"/>\n",
" </g>\n",
" <g id=\"patch_4\">\n",
" <path d=\"M 374.028125 141.20925 L 374.028125 32.48925 \" style=\"fill: none; stroke: #000000; stroke-width: 0.8; stroke-linejoin: miter; stroke-linecap: square\"/>\n",
" </g>\n",
" <g id=\"patch_5\">\n",
" <path d=\"M 39.228125 141.20925 L 374.028125 141.20925 \" style=\"fill: none; stroke: #000000; stroke-width: 0.8; stroke-linejoin: miter; stroke-linecap: square\"/>\n",
" </g>\n",
" <g id=\"patch_6\">\n",
" <path d=\"M 39.228125 32.48925 L 374.028125 32.48925 \" style=\"fill: none; stroke: #000000; stroke-width: 0.8; stroke-linejoin: miter; stroke-linecap: square\"/>\n",
" </g>\n",
" <g id=\"text_19\">\n",
" <!-- theta_y_true -->\n",
" <g transform=\"translate(168.888125 12.718125)scale(0.12 -0.12)\">\n",
" <defs>\n",
" <path id=\"DejaVuSans-74\" d=\"M 1172 4494 L 1172 3500 L 2356 3500 L 2356 3053 L 1172 3053 L 1172 1153 Q 1172 725 1289 603 Q 1406 481 1766 481 L 2356 481 L 2356 0 L 1766 0 Q 1100 0 847 248 Q 594 497 594 1153 L 594 3053 L 172 3053 L 172 3500 L 594 3500 L 594 4494 L 1172 4494 z \" transform=\"scale(0.015625)\"/>\n",
" <path id=\"DejaVuSans-68\" d=\"M 3513 2113 L 3513 0 L 2938 0 L 2938 2094 Q 2938 2591 2744 2837 Q 2550 3084 2163 3084 Q 1697 3084 1428 2787 Q 1159 2491 1159 1978 L 1159 0 L 581 0 L 581 4863 L 1159 4863 L 1159 2956 Q 1366 3272 1645 3428 Q 1925 3584 2291 3584 Q 2894 3584 3203 3211 Q 3513 2838 3513 2113 z \" transform=\"scale(0.015625)\"/>\n",
" <path id=\"DejaVuSans-65\" d=\"M 3597 1894 L 3597 1613 L 953 1613 Q 991 1019 1311 708 Q 1631 397 2203 397 Q 2534 397 2845 478 Q 3156 559 3463 722 L 3463 178 Q 3153 47 2828 -22 Q 2503 -91 2169 -91 Q 1331 -91 842 396 Q 353 884 353 1716 Q 353 2575 817 3079 Q 1281 3584 2069 3584 Q 2775 3584 3186 3129 Q 3597 2675 3597 1894 z M 3022 2063 Q 3016 2534 2758 2815 Q 2500 3097 2075 3097 Q 1594 3097 1305 2825 Q 1016 2553 972 2059 L 3022 2063 z \" transform=\"scale(0.015625)\"/>\n",
" <path id=\"DejaVuSans-61\" d=\"M 2194 1759 Q 1497 1759 1228 1600 Q 959 1441 959 1056 Q 959 750 1161 570 Q 1363 391 1709 391 Q 2188 391 2477 730 Q 2766 1069 2766 1631 L 2766 1759 L 2194 1759 z M 3341 1997 L 3341 0 L 2766 0 L 2766 531 Q 2569 213 2275 61 Q 1981 -91 1556 -91 Q 1019 -91 701 211 Q 384 513 384 1019 Q 384 1609 779 1909 Q 1175 2209 1959 2209 L 2766 2209 L 2766 2266 Q 2766 2663 2505 2880 Q 2244 3097 1772 3097 Q 1472 3097 1187 3025 Q 903 2953 641 2809 L 641 3341 Q 956 3463 1253 3523 Q 1550 3584 1831 3584 Q 2591 3584 2966 3190 Q 3341 2797 3341 1997 z \" transform=\"scale(0.015625)\"/>\n",
" <path id=\"DejaVuSans-5f\" d=\"M 3263 -1063 L 3263 -1509 L -63 -1509 L -63 -1063 L 3263 -1063 z \" transform=\"scale(0.015625)\"/>\n",
" <path id=\"DejaVuSans-79\" d=\"M 2059 -325 Q 1816 -950 1584 -1140 Q 1353 -1331 966 -1331 L 506 -1331 L 506 -850 L 844 -850 Q 1081 -850 1212 -737 Q 1344 -625 1503 -206 L 1606 56 L 191 3500 L 800 3500 L 1894 763 L 2988 3500 L 3597 3500 L 2059 -325 z \" transform=\"scale(0.015625)\"/>\n",
" <path id=\"DejaVuSans-72\" d=\"M 2631 2963 Q 2534 3019 2420 3045 Q 2306 3072 2169 3072 Q 1681 3072 1420 2755 Q 1159 2438 1159 1844 L 1159 0 L 581 0 L 581 3500 L 1159 3500 L 1159 2956 Q 1341 3275 1631 3429 Q 1922 3584 2338 3584 Q 2397 3584 2469 3576 Q 2541 3569 2628 3553 L 2631 2963 z \" transform=\"scale(0.015625)\"/>\n",
" <path id=\"DejaVuSans-75\" d=\"M 544 1381 L 544 3500 L 1119 3500 L 1119 1403 Q 1119 906 1312 657 Q 1506 409 1894 409 Q 2359 409 2629 706 Q 2900 1003 2900 1516 L 2900 3500 L 3475 3500 L 3475 0 L 2900 0 L 2900 538 Q 2691 219 2414 64 Q 2138 -91 1772 -91 Q 1169 -91 856 284 Q 544 659 544 1381 z M 1991 3584 L 1991 3584 z \" transform=\"scale(0.015625)\"/>\n",
" </defs>\n",
" <use xlink:href=\"#DejaVuSans-74\"/>\n",
" <use xlink:href=\"#DejaVuSans-68\" x=\"39.208984\"/>\n",
" <use xlink:href=\"#DejaVuSans-65\" x=\"102.587891\"/>\n",
" <use xlink:href=\"#DejaVuSans-74\" x=\"164.111328\"/>\n",
" <use xlink:href=\"#DejaVuSans-61\" x=\"203.320312\"/>\n",
" <use xlink:href=\"#DejaVuSans-5f\" x=\"264.599609\"/>\n",
" <use xlink:href=\"#DejaVuSans-79\" x=\"314.599609\"/>\n",
" <use xlink:href=\"#DejaVuSans-5f\" x=\"373.779297\"/>\n",
" <use xlink:href=\"#DejaVuSans-74\" x=\"423.779297\"/>\n",
" <use xlink:href=\"#DejaVuSans-72\" x=\"462.988281\"/>\n",
" <use xlink:href=\"#DejaVuSans-75\" x=\"504.101562\"/>\n",
" <use xlink:href=\"#DejaVuSans-65\" x=\"567.480469\"/>\n",
" </g>\n",
" <!-- $\\mu=142.38$; $\\sigma=31.84$ -->\n",
" <g transform=\"translate(142.308125 26.48925)scale(0.12 -0.12)\">\n",
" <defs>\n",
" <path id=\"DejaVuSans-Oblique-3bc\" d=\"M -84 -1331 L 856 3500 L 1434 3500 L 1009 1322 Q 997 1256 987 1175 Q 978 1094 978 1013 Q 978 722 1161 565 Q 1344 409 1684 409 Q 2147 409 2431 671 Q 2716 934 2816 1459 L 3213 3500 L 3788 3500 L 3266 809 Q 3253 750 3248 706 Q 3244 663 3244 628 Q 3244 531 3283 486 Q 3322 441 3406 441 Q 3438 441 3492 456 Q 3547 472 3647 513 L 3559 50 Q 3422 -19 3297 -55 Q 3172 -91 3053 -91 Q 2847 -91 2730 40 Q 2613 172 2613 403 Q 2438 153 2195 31 Q 1953 -91 1625 -91 Q 1334 -91 1117 43 Q 900 178 831 397 L 494 -1331 L -84 -1331 z \" transform=\"scale(0.015625)\"/>\n",
" <path id=\"DejaVuSans-3d\" d=\"M 678 2906 L 4684 2906 L 4684 2381 L 678 2381 L 678 2906 z M 678 1631 L 4684 1631 L 4684 1100 L 678 1100 L 678 1631 z \" transform=\"scale(0.015625)\"/>\n",
" <path id=\"DejaVuSans-33\" d=\"M 2597 2516 Q 3050 2419 3304 2112 Q 3559 1806 3559 1356 Q 3559 666 3084 287 Q 2609 -91 1734 -91 Q 1441 -91 1130 -33 Q 819 25 488 141 L 488 750 Q 750 597 1062 519 Q 1375 441 1716 441 Q 2309 441 2620 675 Q 2931 909 2931 1356 Q 2931 1769 2642 2001 Q 2353 2234 1838 2234 L 1294 2234 L 1294 2753 L 1863 2753 Q 2328 2753 2575 2939 Q 2822 3125 2822 3475 Q 2822 3834 2567 4026 Q 2313 4219 1838 4219 Q 1578 4219 1281 4162 Q 984 4106 628 3988 L 628 4550 Q 988 4650 1302 4700 Q 1616 4750 1894 4750 Q 2613 4750 3031 4423 Q 3450 4097 3450 3541 Q 3450 3153 3228 2886 Q 3006 2619 2597 2516 z \" transform=\"scale(0.015625)\"/>\n",
" <path id=\"DejaVuSans-3b\" d=\"M 750 3309 L 1409 3309 L 1409 2516 L 750 2516 L 750 3309 z M 750 794 L 1409 794 L 1409 256 L 897 -744 L 494 -744 L 750 256 L 750 794 z \" transform=\"scale(0.015625)\"/>\n",
" <path id=\"DejaVuSans-20\" transform=\"scale(0.015625)\"/>\n",
" <path id=\"DejaVuSans-Oblique-3c3\" d=\"M 2219 3044 Q 1744 3044 1422 2700 Q 1081 2341 969 1747 Q 844 1119 1044 756 Q 1241 397 1706 397 Q 2166 397 2503 759 Q 2844 1122 2966 1747 Q 3075 2319 2881 2700 Q 2700 3044 2219 3044 z M 2309 3503 L 4219 3500 L 4106 2925 L 3463 2925 Q 3706 2438 3575 1747 Q 3406 888 2884 400 Q 2359 -91 1609 -91 Q 856 -91 525 400 Q 194 888 363 1747 Q 528 2609 1050 3097 Q 1484 3503 2309 3503 z \" transform=\"scale(0.015625)\"/>\n",
" </defs>\n",
" <use xlink:href=\"#DejaVuSans-Oblique-3bc\" transform=\"translate(0 0.78125)\"/>\n",
" <use xlink:href=\"#DejaVuSans-3d\" transform=\"translate(83.105469 0.78125)\"/>\n",
" <use xlink:href=\"#DejaVuSans-31\" transform=\"translate(186.376953 0.78125)\"/>\n",
" <use xlink:href=\"#DejaVuSans-34\" transform=\"translate(250 0.78125)\"/>\n",
" <use xlink:href=\"#DejaVuSans-32\" transform=\"translate(313.623047 0.78125)\"/>\n",
" <use xlink:href=\"#DejaVuSans-2e\" transform=\"translate(377.246094 0.78125)\"/>\n",
" <use xlink:href=\"#DejaVuSans-33\" transform=\"translate(409.033203 0.78125)\"/>\n",
" <use xlink:href=\"#DejaVuSans-38\" transform=\"translate(472.65625 0.78125)\"/>\n",
" <use xlink:href=\"#DejaVuSans-3b\" transform=\"translate(536.279297 0.78125)\"/>\n",
" <use xlink:href=\"#DejaVuSans-20\" transform=\"translate(569.970703 0.78125)\"/>\n",
" <use xlink:href=\"#DejaVuSans-Oblique-3c3\" transform=\"translate(601.757812 0.78125)\"/>\n",
" <use xlink:href=\"#DejaVuSans-3d\" transform=\"translate(684.619141 0.78125)\"/>\n",
" <use xlink:href=\"#DejaVuSans-33\" transform=\"translate(787.890625 0.78125)\"/>\n",
" <use xlink:href=\"#DejaVuSans-31\" transform=\"translate(851.513672 0.78125)\"/>\n",
" <use xlink:href=\"#DejaVuSans-2e\" transform=\"translate(915.136719 0.78125)\"/>\n",
" <use xlink:href=\"#DejaVuSans-38\" transform=\"translate(944.298828 0.78125)\"/>\n",
" <use xlink:href=\"#DejaVuSans-34\" transform=\"translate(1007.921875 0.78125)\"/>\n",
" </g>\n",
" </g>\n",
" </g>\n",
" </g>\n",
" <defs>\n",
" <clipPath id=\"p3848b3e717\">\n",
" <rect x=\"39.228125\" y=\"32.48925\" width=\"334.8\" height=\"108.72\"/>\n",
" </clipPath>\n",
" </defs>\n",
"</svg>\n",
"\n",
"</g>\n",
"<!-- y_true -->\n",
"<g id=\"node4\" class=\"node\">\n",
"<title>y_true</title>\n",
"<polygon fill=\"#f4a460\" stroke=\"#000000\" points=\"193,-185.5 92,-185.5 92,-144.5 193,-144.5 193,-185.5\"/>\n",
"<svg viewBox=\"0 0 132.1625 52.664375\" width=\"101px\" height=\"41px\" preserveAspectRatio=\"xMinYMin meet\" x=\"92\" y=\"-185.5\"> <metadata>\n",
" <rdf:RDF xmlns:dc=\"http://purl.org/dc/elements/1.1/\" xmlns:cc=\"http://creativecommons.org/ns#\" xmlns:rdf=\"http://www.w3.org/1999/02/22-rdf-syntax-ns#\">\n",
" <cc:Work>\n",
" <dc:type rdf:resource=\"http://purl.org/dc/dcmitype/StillImage\"/>\n",
" <dc:date>2022-07-11T02:49:38.662916</dc:date>\n",
" <dc:format>image/svg+xml</dc:format>\n",
" <dc:creator>\n",
" <cc:Agent>\n",
" <dc:title>Matplotlib v3.5.2, https://matplotlib.org/</dc:title>\n",
" </cc:Agent>\n",
" </dc:creator>\n",
" </cc:Work>\n",
" </rdf:RDF>\n",
" </metadata>\n",
" <defs>\n",
" <style type=\"text/css\">*{stroke-linejoin: round; stroke-linecap: butt}</style>\n",
" </defs>\n",
" <g id=\"figure_1\">\n",
" <g id=\"patch_1\">\n",
" <path d=\"M 0 52.664375 L 132.1625 52.664375 L 132.1625 0 L 0 0 z \" style=\"fill: #f4a460\"/>\n",
" </g>\n",
" <g id=\"axes_1\">\n",
" <g id=\"patch_2\">\n",
" <path d=\"M 16.9625 45.564375 L 128.5625 45.564375 L 128.5625 18.384375 L 16.9625 18.384375 z \" style=\"fill: #ffffff\"/>\n",
" </g>\n",
" <g id=\"patch_3\">\n",
" <path d=\"M 16.9625 45.564375 L 16.9625 45.564375 L 16.9625 33.484375 L 16.9625 33.484375 z \" clip-path=\"url(#p792ed399b1)\" style=\"fill: #8fbc8f\"/>\n",
" </g>\n",
" <g id=\"patch_4\">\n",
" <path d=\"M 16.9625 30.464375 L 128.5625 30.464375 L 128.5625 18.384375 L 16.9625 18.384375 z \" clip-path=\"url(#p792ed399b1)\" style=\"fill: #8fbc8f\"/>\n",
" </g>\n",
" <g id=\"matplotlib.axis_1\">\n",
" <g id=\"xtick_1\">\n",
" <g id=\"line2d_1\">\n",
" <path d=\"M 16.9625 45.564375 L 16.9625 18.384375 \" clip-path=\"url(#p792ed399b1)\" style=\"fill: none; stroke: #b0b0b0; stroke-width: 0.8; stroke-linecap: square\"/>\n",
" </g>\n",
" <g id=\"line2d_2\">\n",
" <defs>\n",
" <path id=\"mb68af5d73f\" d=\"M 0 0 L 0 3.5 \" style=\"stroke: #000000; stroke-width: 0.8\"/>\n",
" </defs>\n",
" <g>\n",
" <use xlink:href=\"#mb68af5d73f\" x=\"16.9625\" y=\"45.564375\" style=\"stroke: #000000; stroke-width: 0.8\"/>\n",
" </g>\n",
" </g>\n",
" </g>\n",
" <g id=\"xtick_2\">\n",
" <g id=\"line2d_3\">\n",
" <path d=\"M 72.7625 45.564375 L 72.7625 18.384375 \" clip-path=\"url(#p792ed399b1)\" style=\"fill: none; stroke: #b0b0b0; stroke-width: 0.8; stroke-linecap: square\"/>\n",
" </g>\n",
" <g id=\"line2d_4\">\n",
" <g>\n",
" <use xlink:href=\"#mb68af5d73f\" x=\"72.7625\" y=\"45.564375\" style=\"stroke: #000000; stroke-width: 0.8\"/>\n",
" </g>\n",
" </g>\n",
" </g>\n",
" <g id=\"xtick_3\">\n",
" <g id=\"line2d_5\">\n",
" <path d=\"M 128.5625 45.564375 L 128.5625 18.384375 \" clip-path=\"url(#p792ed399b1)\" style=\"fill: none; stroke: #b0b0b0; stroke-width: 0.8; stroke-linecap: square\"/>\n",
" </g>\n",
" <g id=\"line2d_6\">\n",
" <g>\n",
" <use xlink:href=\"#mb68af5d73f\" x=\"128.5625\" y=\"45.564375\" style=\"stroke: #000000; stroke-width: 0.8\"/>\n",
" </g>\n",
" </g>\n",
" </g>\n",
" </g>\n",
" <g id=\"matplotlib.axis_2\">\n",
" <g id=\"ytick_1\">\n",
" <g id=\"line2d_7\">\n",
" <defs>\n",
" <path id=\"m529ca0645b\" d=\"M 0 0 L -3.5 0 \" style=\"stroke: #000000; stroke-width: 0.8\"/>\n",
" </defs>\n",
" <g>\n",
" <use xlink:href=\"#m529ca0645b\" x=\"16.9625\" y=\"39.524375\" style=\"stroke: #000000; stroke-width: 0.8\"/>\n",
" </g>\n",
" </g>\n",
" <g id=\"text_1\">\n",
" <!-- 1 -->\n",
" <g transform=\"translate(3.6 43.323594)scale(0.1 -0.1)\">\n",
" <defs>\n",
" <path id=\"DejaVuSans-31\" d=\"M 794 531 L 1825 531 L 1825 4091 L 703 3866 L 703 4441 L 1819 4666 L 2450 4666 L 2450 531 L 3481 531 L 3481 0 L 794 0 L 794 531 z \" transform=\"scale(0.015625)\"/>\n",
" </defs>\n",
" <use xlink:href=\"#DejaVuSans-31\"/>\n",
" </g>\n",
" </g>\n",
" </g>\n",
" <g id=\"ytick_2\">\n",
" <g id=\"line2d_8\">\n",
" <g>\n",
" <use xlink:href=\"#m529ca0645b\" x=\"16.9625\" y=\"24.424375\" style=\"stroke: #000000; stroke-width: 0.8\"/>\n",
" </g>\n",
" </g>\n",
" <g id=\"text_2\">\n",
" <!-- 0 -->\n",
" <g transform=\"translate(3.6 28.223594)scale(0.1 -0.1)\">\n",
" <defs>\n",
" <path id=\"DejaVuSans-30\" d=\"M 2034 4250 Q 1547 4250 1301 3770 Q 1056 3291 1056 2328 Q 1056 1369 1301 889 Q 1547 409 2034 409 Q 2525 409 2770 889 Q 3016 1369 3016 2328 Q 3016 3291 2770 3770 Q 2525 4250 2034 4250 z M 2034 4750 Q 2819 4750 3233 4129 Q 3647 3509 3647 2328 Q 3647 1150 3233 529 Q 2819 -91 2034 -91 Q 1250 -91 836 529 Q 422 1150 422 2328 Q 422 3509 836 4129 Q 1250 4750 2034 4750 z \" transform=\"scale(0.015625)\"/>\n",
" </defs>\n",
" <use xlink:href=\"#DejaVuSans-30\"/>\n",
" </g>\n",
" </g>\n",
" </g>\n",
" </g>\n",
" <g id=\"patch_5\">\n",
" <path d=\"M 16.9625 45.564375 L 16.9625 18.384375 \" style=\"fill: none; stroke: #000000; stroke-width: 0.8; stroke-linejoin: miter; stroke-linecap: square\"/>\n",
" </g>\n",
" <g id=\"patch_6\">\n",
" <path d=\"M 128.5625 45.564375 L 128.5625 18.384375 \" style=\"fill: none; stroke: #000000; stroke-width: 0.8; stroke-linejoin: miter; stroke-linecap: square\"/>\n",
" </g>\n",
" <g id=\"patch_7\">\n",
" <path d=\"M 16.9625 45.564375 L 128.5625 45.564375 \" style=\"fill: none; stroke: #000000; stroke-width: 0.8; stroke-linejoin: miter; stroke-linecap: square\"/>\n",
" </g>\n",
" <g id=\"patch_8\">\n",
" <path d=\"M 16.9625 18.384375 L 128.5625 18.384375 \" style=\"fill: none; stroke: #000000; stroke-width: 0.8; stroke-linejoin: miter; stroke-linecap: square\"/>\n",
" </g>\n",
" <g id=\"text_3\">\n",
" <!-- 100.00% -->\n",
" <g transform=\"translate(84.070312 28.384688)scale(0.1 -0.1)\">\n",
" <defs>\n",
" <path id=\"DejaVuSans-2e\" d=\"M 684 794 L 1344 794 L 1344 0 L 684 0 L 684 794 z \" transform=\"scale(0.015625)\"/>\n",
" <path id=\"DejaVuSans-25\" d=\"M 4653 2053 Q 4381 2053 4226 1822 Q 4072 1591 4072 1178 Q 4072 772 4226 539 Q 4381 306 4653 306 Q 4919 306 5073 539 Q 5228 772 5228 1178 Q 5228 1588 5073 1820 Q 4919 2053 4653 2053 z M 4653 2450 Q 5147 2450 5437 2106 Q 5728 1763 5728 1178 Q 5728 594 5436 251 Q 5144 -91 4653 -91 Q 4153 -91 3862 251 Q 3572 594 3572 1178 Q 3572 1766 3864 2108 Q 4156 2450 4653 2450 z M 1428 4353 Q 1159 4353 1004 4120 Q 850 3888 850 3481 Q 850 3069 1003 2837 Q 1156 2606 1428 2606 Q 1700 2606 1854 2837 Q 2009 3069 2009 3481 Q 2009 3884 1853 4118 Q 1697 4353 1428 4353 z M 4250 4750 L 4750 4750 L 1831 -91 L 1331 -91 L 4250 4750 z M 1428 4750 Q 1922 4750 2215 4408 Q 2509 4066 2509 3481 Q 2509 2891 2217 2550 Q 1925 2209 1428 2209 Q 931 2209 642 2551 Q 353 2894 353 3481 Q 353 4063 643 4406 Q 934 4750 1428 4750 z \" transform=\"scale(0.015625)\"/>\n",
" </defs>\n",
" <use xlink:href=\"#DejaVuSans-31\"/>\n",
" <use xlink:href=\"#DejaVuSans-30\" x=\"63.623047\"/>\n",
" <use xlink:href=\"#DejaVuSans-30\" x=\"127.246094\"/>\n",
" <use xlink:href=\"#DejaVuSans-2e\" x=\"190.869141\"/>\n",
" <use xlink:href=\"#DejaVuSans-30\" x=\"222.65625\"/>\n",
" <use xlink:href=\"#DejaVuSans-30\" x=\"286.279297\"/>\n",
" <use xlink:href=\"#DejaVuSans-25\" x=\"349.902344\"/>\n",
" </g>\n",
" </g>\n",
" <g id=\"text_4\">\n",
" <!-- y_true -->\n",
" <g transform=\"translate(53.898125 12.384375)scale(0.12 -0.12)\">\n",
" <defs>\n",
" <path id=\"DejaVuSans-79\" d=\"M 2059 -325 Q 1816 -950 1584 -1140 Q 1353 -1331 966 -1331 L 506 -1331 L 506 -850 L 844 -850 Q 1081 -850 1212 -737 Q 1344 -625 1503 -206 L 1606 56 L 191 3500 L 800 3500 L 1894 763 L 2988 3500 L 3597 3500 L 2059 -325 z \" transform=\"scale(0.015625)\"/>\n",
" <path id=\"DejaVuSans-5f\" d=\"M 3263 -1063 L 3263 -1509 L -63 -1509 L -63 -1063 L 3263 -1063 z \" transform=\"scale(0.015625)\"/>\n",
" <path id=\"DejaVuSans-74\" d=\"M 1172 4494 L 1172 3500 L 2356 3500 L 2356 3053 L 1172 3053 L 1172 1153 Q 1172 725 1289 603 Q 1406 481 1766 481 L 2356 481 L 2356 0 L 1766 0 Q 1100 0 847 248 Q 594 497 594 1153 L 594 3053 L 172 3053 L 172 3500 L 594 3500 L 594 4494 L 1172 4494 z \" transform=\"scale(0.015625)\"/>\n",
" <path id=\"DejaVuSans-72\" d=\"M 2631 2963 Q 2534 3019 2420 3045 Q 2306 3072 2169 3072 Q 1681 3072 1420 2755 Q 1159 2438 1159 1844 L 1159 0 L 581 0 L 581 3500 L 1159 3500 L 1159 2956 Q 1341 3275 1631 3429 Q 1922 3584 2338 3584 Q 2397 3584 2469 3576 Q 2541 3569 2628 3553 L 2631 2963 z \" transform=\"scale(0.015625)\"/>\n",
" <path id=\"DejaVuSans-75\" d=\"M 544 1381 L 544 3500 L 1119 3500 L 1119 1403 Q 1119 906 1312 657 Q 1506 409 1894 409 Q 2359 409 2629 706 Q 2900 1003 2900 1516 L 2900 3500 L 3475 3500 L 3475 0 L 2900 0 L 2900 538 Q 2691 219 2414 64 Q 2138 -91 1772 -91 Q 1169 -91 856 284 Q 544 659 544 1381 z M 1991 3584 L 1991 3584 z \" transform=\"scale(0.015625)\"/>\n",
" <path id=\"DejaVuSans-65\" d=\"M 3597 1894 L 3597 1613 L 953 1613 Q 991 1019 1311 708 Q 1631 397 2203 397 Q 2534 397 2845 478 Q 3156 559 3463 722 L 3463 178 Q 3153 47 2828 -22 Q 2503 -91 2169 -91 Q 1331 -91 842 396 Q 353 884 353 1716 Q 353 2575 817 3079 Q 1281 3584 2069 3584 Q 2775 3584 3186 3129 Q 3597 2675 3597 1894 z M 3022 2063 Q 3016 2534 2758 2815 Q 2500 3097 2075 3097 Q 1594 3097 1305 2825 Q 1016 2553 972 2059 L 3022 2063 z \" transform=\"scale(0.015625)\"/>\n",
" </defs>\n",
" <use xlink:href=\"#DejaVuSans-79\"/>\n",
" <use xlink:href=\"#DejaVuSans-5f\" x=\"59.179688\"/>\n",
" <use xlink:href=\"#DejaVuSans-74\" x=\"109.179688\"/>\n",
" <use xlink:href=\"#DejaVuSans-72\" x=\"148.388672\"/>\n",
" <use xlink:href=\"#DejaVuSans-75\" x=\"189.501953\"/>\n",
" <use xlink:href=\"#DejaVuSans-65\" x=\"252.880859\"/>\n",
" </g>\n",
" </g>\n",
" </g>\n",
" </g>\n",
" <defs>\n",
" <clipPath id=\"p792ed399b1\">\n",
" <rect x=\"16.9625\" y=\"18.384375\" width=\"111.6\" height=\"27.18\"/>\n",
" </clipPath>\n",
" </defs>\n",
"</svg>\n",
"\n",
"</g>\n",
"<!-- theta_y_true&#45;&gt;y_true -->\n",
"<g id=\"edge2\" class=\"edge\">\n",
"<title>theta_y_true-&gt;y_true</title>\n",
"<g id=\"a_edge2\"><a xlink:title=\"(0, 3):\">\n",
"<path fill=\"none\" stroke=\"#4a4a4a\" d=\"M142.5,-265.8688C142.5,-241.8041 142.5,-215.6355 142.5,-195.984\"/>\n",
"<polygon fill=\"#4a4a4a\" stroke=\"#4a4a4a\" points=\"146.0001,-195.7917 142.5,-185.7917 139.0001,-195.7918 146.0001,-195.7917\"/>\n",
"</a>\n",
"</g>\n",
"</g>\n",
"<!-- theta_fpr -->\n",
"<g id=\"node2\" class=\"node\">\n",
"<title>theta_fpr</title>\n",
"<polygon fill=\"#f4a460\" stroke=\"#000000\" points=\"491.5,-230 211.5,-230 211.5,-100 491.5,-100 491.5,-230\"/>\n",
"<svg viewBox=\"0 0 371.265625 170.89675\" width=\"280px\" height=\"130px\" preserveAspectRatio=\"xMinYMin meet\" x=\"211.5\" y=\"-230\"> <metadata>\n",
" <rdf:RDF xmlns:dc=\"http://purl.org/dc/elements/1.1/\" xmlns:cc=\"http://creativecommons.org/ns#\" xmlns:rdf=\"http://www.w3.org/1999/02/22-rdf-syntax-ns#\">\n",
" <cc:Work>\n",
" <dc:type rdf:resource=\"http://purl.org/dc/dcmitype/StillImage\"/>\n",
" <dc:date>2022-07-11T02:49:38.341995</dc:date>\n",
" <dc:format>image/svg+xml</dc:format>\n",
" <dc:creator>\n",
" <cc:Agent>\n",
" <dc:title>Matplotlib v3.5.2, https://matplotlib.org/</dc:title>\n",
" </cc:Agent>\n",
" </dc:creator>\n",
" </cc:Work>\n",
" </rdf:RDF>\n",
" </metadata>\n",
" <defs>\n",
" <style type=\"text/css\">*{stroke-linejoin: round; stroke-linecap: butt}</style>\n",
" </defs>\n",
" <g id=\"figure_1\">\n",
" <g id=\"patch_1\">\n",
" <path d=\"M 0 170.89675 L 371.265625 170.89675 L 371.265625 0 L 0 0 z \" style=\"fill: #f4a460\"/>\n",
" </g>\n",
" <g id=\"axes_1\">\n",
" <g id=\"patch_2\">\n",
" <path d=\"M 32.865625 141.20925 L 367.665625 141.20925 L 367.665625 32.48925 L 32.865625 32.48925 z \" style=\"fill: #ffffff\"/>\n",
" </g>\n",
" <g id=\"PolyCollection_1\">\n",
" <defs>\n",
" <path id=\"m69a468cdce\" d=\"M 32.865625 -29.6875 L 32.865625 -29.6875 L 33.985357 -29.6875 L 35.10509 -29.6875 L 36.224822 -133.230357 L 37.344555 -29.6875 L 38.464287 -29.6875 L 39.58402 -29.6875 L 40.703752 -29.6875 L 41.823485 -29.6875 L 42.943217 -29.6875 L 44.062949 -29.6875 L 45.182682 -29.6875 L 46.302414 -29.6875 L 47.422147 -29.6875 L 48.541879 -29.6875 L 49.661612 -29.6875 L 50.781344 -29.6875 L 51.901077 -29.6875 L 53.020809 -29.6875 L 54.140541 -29.6875 L 55.260274 -29.6875 L 56.380006 -29.6875 L 57.499739 -29.6875 L 58.619471 -29.6875 L 59.739204 -29.6875 L 60.858936 -29.6875 L 61.978668 -29.6875 L 63.098401 -29.6875 L 64.218133 -29.6875 L 65.337866 -29.6875 L 66.457598 -29.6875 L 67.577331 -29.6875 L 68.697063 -29.6875 L 69.816796 -29.6875 L 70.936528 -29.6875 L 72.05626 -29.6875 L 73.175993 -29.6875 L 74.295725 -29.6875 L 75.415458 -29.6875 L 76.53519 -29.6875 L 77.654923 -29.6875 L 78.774655 -29.6875 L 79.894388 -29.6875 L 81.01412 -29.6875 L 82.133852 -29.6875 L 83.253585 -29.6875 L 84.373317 -29.6875 L 85.49305 -29.6875 L 86.612782 -29.6875 L 87.732515 -29.6875 L 88.852247 -29.6875 L 89.97198 -29.6875 L 91.091712 -29.6875 L 92.211444 -29.6875 L 93.331177 -29.6875 L 94.450909 -29.6875 L 95.570642 -29.6875 L 96.690374 -29.6875 L 97.810107 -29.6875 L 98.929839 -29.6875 L 100.049571 -29.6875 L 101.169304 -29.6875 L 102.289036 -29.6875 L 103.408769 -29.6875 L 104.528501 -29.6875 L 105.648234 -29.6875 L 106.767966 -29.6875 L 107.887699 -29.6875 L 109.007431 -29.6875 L 110.127163 -29.6875 L 111.246896 -29.6875 L 112.366628 -29.6875 L 113.486361 -29.6875 L 114.606093 -29.6875 L 115.725826 -29.6875 L 116.845558 -29.6875 L 117.965291 -29.6875 L 119.085023 -29.6875 L 120.204755 -29.6875 L 121.324488 -29.6875 L 122.44422 -29.6875 L 123.563953 -29.6875 L 124.683685 -29.6875 L 125.803418 -29.6875 L 126.92315 -29.6875 L 128.042883 -29.6875 L 129.162615 -29.6875 L 130.282347 -29.6875 L 131.40208 -29.6875 L 132.521812 -29.6875 L 133.641545 -29.6875 L 134.761277 -29.6875 L 135.88101 -29.6875 L 137.000742 -29.6875 L 138.120474 -29.6875 L 139.240207 -29.6875 L 140.359939 -29.6875 L 141.479672 -29.6875 L 142.599404 -29.6875 L 143.719137 -29.6875 L 144.838869 -29.6875 L 145.958602 -29.6875 L 147.078334 -29.6875 L 148.198066 -29.6875 L 149.317799 -29.6875 L 150.437531 -29.6875 L 151.557264 -29.6875 L 152.676996 -29.6875 L 153.796729 -29.6875 L 154.916461 -29.6875 L 156.036194 -29.6875 L 157.155926 -29.6875 L 158.275658 -29.6875 L 159.395391 -29.6875 L 160.515123 -29.6875 L 161.634856 -29.6875 L 162.754588 -29.6875 L 163.874321 -29.6875 L 164.994053 -29.6875 L 166.113786 -29.6875 L 167.233518 -29.6875 L 168.35325 -29.6875 L 169.472983 -29.6875 L 170.592715 -29.6875 L 171.712448 -29.6875 L 172.83218 -29.6875 L 173.951913 -29.6875 L 175.071645 -29.6875 L 176.191378 -29.6875 L 177.31111 -29.6875 L 178.430842 -29.6875 L 179.550575 -29.6875 L 180.670307 -29.6875 L 181.79004 -29.6875 L 182.909772 -29.6875 L 184.029505 -29.6875 L 185.149237 -29.6875 L 186.268969 -29.6875 L 187.388702 -29.6875 L 188.508434 -29.6875 L 189.628167 -29.6875 L 190.747899 -29.6875 L 191.867632 -29.6875 L 192.987364 -29.6875 L 194.107097 -29.6875 L 195.226829 -29.6875 L 196.346561 -29.6875 L 197.466294 -29.6875 L 198.586026 -29.6875 L 199.705759 -29.6875 L 200.825491 -29.6875 L 201.945224 -29.6875 L 203.064956 -29.6875 L 204.184689 -29.6875 L 205.304421 -29.6875 L 206.424153 -29.6875 L 207.543886 -29.6875 L 208.663618 -29.6875 L 209.783351 -29.6875 L 210.903083 -29.6875 L 212.022816 -29.6875 L 213.142548 -29.6875 L 214.262281 -29.6875 L 215.382013 -29.6875 L 216.501745 -29.6875 L 217.621478 -29.6875 L 218.74121 -29.6875 L 219.860943 -29.6875 L 220.980675 -29.6875 L 222.100408 -29.6875 L 223.22014 -29.6875 L 224.339872 -29.6875 L 225.459605 -29.6875 L 226.579337 -29.6875 L 227.69907 -29.6875 L 228.818802 -29.6875 L 229.938535 -29.6875 L 231.058267 -29.6875 L 232.178 -29.6875 L 233.297732 -29.6875 L 234.417464 -29.6875 L 235.537197 -29.6875 L 236.656929 -29.6875 L 237.776662 -29.6875 L 238.896394 -29.6875 L 240.016127 -29.6875 L 241.135859 -29.6875 L 242.255592 -29.6875 L 243.375324 -29.6875 L 244.495056 -29.6875 L 245.614789 -29.6875 L 246.734521 -29.6875 L 247.854254 -29.6875 L 248.973986 -29.6875 L 250.093719 -29.6875 L 251.213451 -29.6875 L 252.333184 -29.6875 L 253.452916 -29.6875 L 254.572648 -29.6875 L 255.692381 -29.6875 L 256.812113 -29.6875 L 257.931846 -29.6875 L 259.051578 -29.6875 L 260.171311 -29.6875 L 261.291043 -29.6875 L 262.410776 -29.6875 L 263.530508 -29.6875 L 264.65024 -29.6875 L 265.769973 -29.6875 L 266.889705 -29.6875 L 268.009438 -29.6875 L 269.12917 -29.6875 L 270.248903 -29.6875 L 271.368635 -29.6875 L 272.488367 -29.6875 L 273.6081 -29.6875 L 274.727832 -29.6875 L 275.847565 -29.6875 L 276.967297 -29.6875 L 278.08703 -29.6875 L 279.206762 -29.6875 L 280.326495 -29.6875 L 281.446227 -29.6875 L 282.565959 -29.6875 L 283.685692 -29.6875 L 284.805424 -29.6875 L 285.925157 -29.6875 L 287.044889 -29.6875 L 288.164622 -29.6875 L 289.284354 -29.6875 L 290.404087 -29.6875 L 291.523819 -29.6875 L 292.643551 -29.6875 L 293.763284 -29.6875 L 294.883016 -29.6875 L 296.002749 -29.6875 L 297.122481 -29.6875 L 298.242214 -29.6875 L 299.361946 -29.6875 L 300.481679 -29.6875 L 301.601411 -29.6875 L 302.721143 -29.6875 L 303.840876 -29.6875 L 304.960608 -29.6875 L 306.080341 -29.6875 L 307.200073 -29.6875 L 308.319806 -29.6875 L 309.439538 -29.6875 L 310.55927 -29.6875 L 311.679003 -29.6875 L 312.798735 -29.6875 L 313.918468 -29.6875 L 315.0382 -29.6875 L 316.157933 -29.6875 L 317.277665 -29.6875 L 318.397398 -29.6875 L 319.51713 -29.6875 L 320.636862 -29.6875 L 321.756595 -29.6875 L 322.876327 -29.6875 L 323.99606 -29.6875 L 325.115792 -29.6875 L 326.235525 -29.6875 L 327.355257 -29.6875 L 328.47499 -29.6875 L 329.594722 -29.6875 L 330.714454 -29.6875 L 331.834187 -29.6875 L 332.953919 -29.6875 L 334.073652 -29.6875 L 335.193384 -29.6875 L 336.313117 -29.6875 L 337.432849 -29.6875 L 338.552582 -29.6875 L 339.672314 -29.6875 L 340.792046 -29.6875 L 341.911779 -29.6875 L 343.031511 -29.6875 L 344.151244 -29.6875 L 345.270976 -29.6875 L 346.390709 -29.6875 L 347.510441 -29.6875 L 348.630173 -29.6875 L 349.749906 -29.6875 L 350.869638 -29.6875 L 351.989371 -29.6875 L 353.109103 -29.6875 L 354.228836 -29.6875 L 355.348568 -29.6875 L 356.468301 -29.6875 L 357.588033 -29.6875 L 358.707765 -29.6875 L 359.827498 -29.6875 L 360.94723 -29.6875 L 362.066963 -29.6875 L 363.186695 -29.6875 L 364.306428 -29.6875 L 365.42616 -29.6875 L 366.545893 -29.6875 L 367.665625 -29.6875 L 367.665625 -29.6875 L 367.665625 -29.6875 L 366.545893 -29.6875 L 365.42616 -29.6875 L 364.306428 -29.6875 L 363.186695 -29.6875 L 362.066963 -29.6875 L 360.94723 -29.6875 L 359.827498 -29.6875 L 358.707765 -29.6875 L 357.588033 -29.6875 L 356.468301 -29.6875 L 355.348568 -29.6875 L 354.228836 -29.6875 L 353.109103 -29.6875 L 351.989371 -29.6875 L 350.869638 -29.6875 L 349.749906 -29.6875 L 348.630173 -29.6875 L 347.510441 -29.6875 L 346.390709 -29.6875 L 345.270976 -29.6875 L 344.151244 -29.6875 L 343.031511 -29.6875 L 341.911779 -29.6875 L 340.792046 -29.6875 L 339.672314 -29.6875 L 338.552582 -29.6875 L 337.432849 -29.6875 L 336.313117 -29.6875 L 335.193384 -29.6875 L 334.073652 -29.6875 L 332.953919 -29.6875 L 331.834187 -29.6875 L 330.714454 -29.6875 L 329.594722 -29.6875 L 328.47499 -29.6875 L 327.355257 -29.6875 L 326.235525 -29.6875 L 325.115792 -29.6875 L 323.99606 -29.6875 L 322.876327 -29.6875 L 321.756595 -29.6875 L 320.636862 -29.6875 L 319.51713 -29.6875 L 318.397398 -29.6875 L 317.277665 -29.6875 L 316.157933 -29.6875 L 315.0382 -29.6875 L 313.918468 -29.6875 L 312.798735 -29.6875 L 311.679003 -29.6875 L 310.55927 -29.6875 L 309.439538 -29.6875 L 308.319806 -29.6875 L 307.200073 -29.6875 L 306.080341 -29.6875 L 304.960608 -29.6875 L 303.840876 -29.6875 L 302.721143 -29.6875 L 301.601411 -29.6875 L 300.481679 -29.6875 L 299.361946 -29.6875 L 298.242214 -29.6875 L 297.122481 -29.6875 L 296.002749 -29.6875 L 294.883016 -29.6875 L 293.763284 -29.6875 L 292.643551 -29.6875 L 291.523819 -29.6875 L 290.404087 -29.6875 L 289.284354 -29.6875 L 288.164622 -29.6875 L 287.044889 -29.6875 L 285.925157 -29.6875 L 284.805424 -29.6875 L 283.685692 -29.6875 L 282.565959 -29.6875 L 281.446227 -29.6875 L 280.326495 -29.6875 L 279.206762 -29.6875 L 278.08703 -29.6875 L 276.967297 -29.6875 L 275.847565 -29.6875 L 274.727832 -29.6875 L 273.6081 -29.6875 L 272.488367 -29.6875 L 271.368635 -29.6875 L 270.248903 -29.6875 L 269.12917 -29.6875 L 268.009438 -29.6875 L 266.889705 -29.6875 L 265.769973 -29.6875 L 264.65024 -29.6875 L 263.530508 -29.6875 L 262.410776 -29.6875 L 261.291043 -29.6875 L 260.171311 -29.6875 L 259.051578 -29.6875 L 257.931846 -29.6875 L 256.812113 -29.6875 L 255.692381 -29.6875 L 254.572648 -29.6875 L 253.452916 -29.6875 L 252.333184 -29.6875 L 251.213451 -29.6875 L 250.093719 -29.6875 L 248.973986 -29.6875 L 247.854254 -29.6875 L 246.734521 -29.6875 L 245.614789 -29.6875 L 244.495056 -29.6875 L 243.375324 -29.6875 L 242.255592 -29.6875 L 241.135859 -29.6875 L 240.016127 -29.6875 L 238.896394 -29.6875 L 237.776662 -29.6875 L 236.656929 -29.6875 L 235.537197 -29.6875 L 234.417464 -29.6875 L 233.297732 -29.6875 L 232.178 -29.6875 L 231.058267 -29.6875 L 229.938535 -29.6875 L 228.818802 -29.6875 L 227.69907 -29.6875 L 226.579337 -29.6875 L 225.459605 -29.6875 L 224.339872 -29.6875 L 223.22014 -29.6875 L 222.100408 -29.6875 L 220.980675 -29.6875 L 219.860943 -29.6875 L 218.74121 -29.6875 L 217.621478 -29.6875 L 216.501745 -29.6875 L 215.382013 -29.6875 L 214.262281 -29.6875 L 213.142548 -29.6875 L 212.022816 -29.6875 L 210.903083 -29.6875 L 209.783351 -29.6875 L 208.663618 -29.6875 L 207.543886 -29.6875 L 206.424153 -29.6875 L 205.304421 -29.6875 L 204.184689 -29.6875 L 203.064956 -29.6875 L 201.945224 -29.6875 L 200.825491 -29.6875 L 199.705759 -29.6875 L 198.586026 -29.6875 L 197.466294 -29.6875 L 196.346561 -29.6875 L 195.226829 -29.6875 L 194.107097 -29.6875 L 192.987364 -29.6875 L 191.867632 -29.6875 L 190.747899 -29.6875 L 189.628167 -29.6875 L 188.508434 -29.6875 L 187.388702 -29.6875 L 186.268969 -29.6875 L 185.149237 -29.6875 L 184.029505 -29.6875 L 182.909772 -29.6875 L 181.79004 -29.6875 L 180.670307 -29.6875 L 179.550575 -29.6875 L 178.430842 -29.6875 L 177.31111 -29.6875 L 176.191378 -29.6875 L 175.071645 -29.6875 L 173.951913 -29.6875 L 172.83218 -29.6875 L 171.712448 -29.6875 L 170.592715 -29.6875 L 169.472983 -29.6875 L 168.35325 -29.6875 L 167.233518 -29.6875 L 166.113786 -29.6875 L 164.994053 -29.6875 L 163.874321 -29.6875 L 162.754588 -29.6875 L 161.634856 -29.6875 L 160.515123 -29.6875 L 159.395391 -29.6875 L 158.275658 -29.6875 L 157.155926 -29.6875 L 156.036194 -29.6875 L 154.916461 -29.6875 L 153.796729 -29.6875 L 152.676996 -29.6875 L 151.557264 -29.6875 L 150.437531 -29.6875 L 149.317799 -29.6875 L 148.198066 -29.6875 L 147.078334 -29.6875 L 145.958602 -29.6875 L 144.838869 -29.6875 L 143.719137 -29.6875 L 142.599404 -29.6875 L 141.479672 -29.6875 L 140.359939 -29.6875 L 139.240207 -29.6875 L 138.120474 -29.6875 L 137.000742 -29.6875 L 135.88101 -29.6875 L 134.761277 -29.6875 L 133.641545 -29.6875 L 132.521812 -29.6875 L 131.40208 -29.6875 L 130.282347 -29.6875 L 129.162615 -29.6875 L 128.042883 -29.6875 L 126.92315 -29.6875 L 125.803418 -29.6875 L 124.683685 -29.6875 L 123.563953 -29.6875 L 122.44422 -29.6875 L 121.324488 -29.6875 L 120.204755 -29.6875 L 119.085023 -29.6875 L 117.965291 -29.6875 L 116.845558 -29.6875 L 115.725826 -29.6875 L 114.606093 -29.6875 L 113.486361 -29.6875 L 112.366628 -29.6875 L 111.246896 -29.6875 L 110.127163 -29.6875 L 109.007431 -29.6875 L 107.887699 -29.6875 L 106.767966 -29.6875 L 105.648234 -29.6875 L 104.528501 -29.6875 L 103.408769 -29.6875 L 102.289036 -29.6875 L 101.169304 -29.6875 L 100.049571 -29.6875 L 98.929839 -29.6875 L 97.810107 -29.6875 L 96.690374 -29.6875 L 95.570642 -29.6875 L 94.450909 -29.6875 L 93.331177 -29.6875 L 92.211444 -29.6875 L 91.091712 -29.6875 L 89.97198 -29.6875 L 88.852247 -29.6875 L 87.732515 -29.6875 L 86.612782 -29.6875 L 85.49305 -29.6875 L 84.373317 -29.6875 L 83.253585 -29.6875 L 82.133852 -29.6875 L 81.01412 -29.6875 L 79.894388 -29.6875 L 78.774655 -29.6875 L 77.654923 -29.6875 L 76.53519 -29.6875 L 75.415458 -29.6875 L 74.295725 -29.6875 L 73.175993 -29.6875 L 72.05626 -29.6875 L 70.936528 -29.6875 L 69.816796 -29.6875 L 68.697063 -29.6875 L 67.577331 -29.6875 L 66.457598 -29.6875 L 65.337866 -29.6875 L 64.218133 -29.6875 L 63.098401 -29.6875 L 61.978668 -29.6875 L 60.858936 -29.6875 L 59.739204 -29.6875 L 58.619471 -29.6875 L 57.499739 -29.6875 L 56.380006 -29.6875 L 55.260274 -29.6875 L 54.140541 -29.6875 L 53.020809 -29.6875 L 51.901077 -29.6875 L 50.781344 -29.6875 L 49.661612 -29.6875 L 48.541879 -29.6875 L 47.422147 -29.6875 L 46.302414 -29.6875 L 45.182682 -29.6875 L 44.062949 -29.6875 L 42.943217 -29.6875 L 41.823485 -29.6875 L 40.703752 -29.6875 L 39.58402 -29.6875 L 38.464287 -29.6875 L 37.344555 -29.6875 L 36.224822 -29.6875 L 35.10509 -29.6875 L 33.985357 -29.6875 L 32.865625 -29.6875 z \" style=\"stroke: #8fbc8f\"/>\n",
" </defs>\n",
" <g clip-path=\"url(#pa131b1aa9a)\">\n",
" <use xlink:href=\"#m69a468cdce\" x=\"0\" y=\"170.89675\" style=\"fill: #8fbc8f; stroke: #8fbc8f\"/>\n",
" </g>\n",
" </g>\n",
" <g id=\"matplotlib.axis_1\">\n",
" <g id=\"xtick_1\">\n",
" <g id=\"line2d_1\">\n",
" <path d=\"M 32.865625 141.20925 L 32.865625 32.48925 \" clip-path=\"url(#pa131b1aa9a)\" style=\"fill: none; stroke: #b0b0b0; stroke-width: 0.8; stroke-linecap: square\"/>\n",
" </g>\n",
" <g id=\"line2d_2\">\n",
" <defs>\n",
" <path id=\"m879bbaf0a7\" d=\"M 0 0 L 0 3.5 \" style=\"stroke: #000000; stroke-width: 0.8\"/>\n",
" </defs>\n",
" <g>\n",
" <use xlink:href=\"#m879bbaf0a7\" x=\"32.865625\" y=\"141.20925\" style=\"stroke: #000000; stroke-width: 0.8\"/>\n",
" </g>\n",
" </g>\n",
" <g id=\"text_1\">\n",
" <!-- 0 -->\n",
" <g transform=\"translate(35.625 154.57175)rotate(-90)scale(0.1 -0.1)\">\n",
" <defs>\n",
" <path id=\"DejaVuSans-30\" d=\"M 2034 4250 Q 1547 4250 1301 3770 Q 1056 3291 1056 2328 Q 1056 1369 1301 889 Q 1547 409 2034 409 Q 2525 409 2770 889 Q 3016 1369 3016 2328 Q 3016 3291 2770 3770 Q 2525 4250 2034 4250 z M 2034 4750 Q 2819 4750 3233 4129 Q 3647 3509 3647 2328 Q 3647 1150 3233 529 Q 2819 -91 2034 -91 Q 1250 -91 836 529 Q 422 1150 422 2328 Q 422 3509 836 4129 Q 1250 4750 2034 4750 z \" transform=\"scale(0.015625)\"/>\n",
" </defs>\n",
" <use xlink:href=\"#DejaVuSans-30\"/>\n",
" </g>\n",
" </g>\n",
" </g>\n",
" <g id=\"xtick_2\">\n",
" <g id=\"line2d_3\">\n",
" <path d=\"M 55.260274 141.20925 L 55.260274 32.48925 \" clip-path=\"url(#pa131b1aa9a)\" style=\"fill: none; stroke: #b0b0b0; stroke-width: 0.8; stroke-linecap: square\"/>\n",
" </g>\n",
" <g id=\"line2d_4\">\n",
" <g>\n",
" <use xlink:href=\"#m879bbaf0a7\" x=\"55.260274\" y=\"141.20925\" style=\"stroke: #000000; stroke-width: 0.8\"/>\n",
" </g>\n",
" </g>\n",
" <g id=\"text_2\">\n",
" <!-- 20 -->\n",
" <g transform=\"translate(58.019649 160.93425)rotate(-90)scale(0.1 -0.1)\">\n",
" <defs>\n",
" <path id=\"DejaVuSans-32\" d=\"M 1228 531 L 3431 531 L 3431 0 L 469 0 L 469 531 Q 828 903 1448 1529 Q 2069 2156 2228 2338 Q 2531 2678 2651 2914 Q 2772 3150 2772 3378 Q 2772 3750 2511 3984 Q 2250 4219 1831 4219 Q 1534 4219 1204 4116 Q 875 4013 500 3803 L 500 4441 Q 881 4594 1212 4672 Q 1544 4750 1819 4750 Q 2544 4750 2975 4387 Q 3406 4025 3406 3419 Q 3406 3131 3298 2873 Q 3191 2616 2906 2266 Q 2828 2175 2409 1742 Q 1991 1309 1228 531 z \" transform=\"scale(0.015625)\"/>\n",
" </defs>\n",
" <use xlink:href=\"#DejaVuSans-32\"/>\n",
" <use xlink:href=\"#DejaVuSans-30\" x=\"63.623047\"/>\n",
" </g>\n",
" </g>\n",
" </g>\n",
" <g id=\"xtick_3\">\n",
" <g id=\"line2d_5\">\n",
" <path d=\"M 77.654923 141.20925 L 77.654923 32.48925 \" clip-path=\"url(#pa131b1aa9a)\" style=\"fill: none; stroke: #b0b0b0; stroke-width: 0.8; stroke-linecap: square\"/>\n",
" </g>\n",
" <g id=\"line2d_6\">\n",
" <g>\n",
" <use xlink:href=\"#m879bbaf0a7\" x=\"77.654923\" y=\"141.20925\" style=\"stroke: #000000; stroke-width: 0.8\"/>\n",
" </g>\n",
" </g>\n",
" <g id=\"text_3\">\n",
" <!-- 40 -->\n",
" <g transform=\"translate(80.414298 160.93425)rotate(-90)scale(0.1 -0.1)\">\n",
" <defs>\n",
" <path id=\"DejaVuSans-34\" d=\"M 2419 4116 L 825 1625 L 2419 1625 L 2419 4116 z M 2253 4666 L 3047 4666 L 3047 1625 L 3713 1625 L 3713 1100 L 3047 1100 L 3047 0 L 2419 0 L 2419 1100 L 313 1100 L 313 1709 L 2253 4666 z \" transform=\"scale(0.015625)\"/>\n",
" </defs>\n",
" <use xlink:href=\"#DejaVuSans-34\"/>\n",
" <use xlink:href=\"#DejaVuSans-30\" x=\"63.623047\"/>\n",
" </g>\n",
" </g>\n",
" </g>\n",
" <g id=\"xtick_4\">\n",
" <g id=\"line2d_7\">\n",
" <path d=\"M 100.049571 141.20925 L 100.049571 32.48925 \" clip-path=\"url(#pa131b1aa9a)\" style=\"fill: none; stroke: #b0b0b0; stroke-width: 0.8; stroke-linecap: square\"/>\n",
" </g>\n",
" <g id=\"line2d_8\">\n",
" <g>\n",
" <use xlink:href=\"#m879bbaf0a7\" x=\"100.049571\" y=\"141.20925\" style=\"stroke: #000000; stroke-width: 0.8\"/>\n",
" </g>\n",
" </g>\n",
" <g id=\"text_4\">\n",
" <!-- 60 -->\n",
" <g transform=\"translate(102.808946 160.93425)rotate(-90)scale(0.1 -0.1)\">\n",
" <defs>\n",
" <path id=\"DejaVuSans-36\" d=\"M 2113 2584 Q 1688 2584 1439 2293 Q 1191 2003 1191 1497 Q 1191 994 1439 701 Q 1688 409 2113 409 Q 2538 409 2786 701 Q 3034 994 3034 1497 Q 3034 2003 2786 2293 Q 2538 2584 2113 2584 z M 3366 4563 L 3366 3988 Q 3128 4100 2886 4159 Q 2644 4219 2406 4219 Q 1781 4219 1451 3797 Q 1122 3375 1075 2522 Q 1259 2794 1537 2939 Q 1816 3084 2150 3084 Q 2853 3084 3261 2657 Q 3669 2231 3669 1497 Q 3669 778 3244 343 Q 2819 -91 2113 -91 Q 1303 -91 875 529 Q 447 1150 447 2328 Q 447 3434 972 4092 Q 1497 4750 2381 4750 Q 2619 4750 2861 4703 Q 3103 4656 3366 4563 z \" transform=\"scale(0.015625)\"/>\n",
" </defs>\n",
" <use xlink:href=\"#DejaVuSans-36\"/>\n",
" <use xlink:href=\"#DejaVuSans-30\" x=\"63.623047\"/>\n",
" </g>\n",
" </g>\n",
" </g>\n",
" <g id=\"xtick_5\">\n",
" <g id=\"line2d_9\">\n",
" <path d=\"M 122.44422 141.20925 L 122.44422 32.48925 \" clip-path=\"url(#pa131b1aa9a)\" style=\"fill: none; stroke: #b0b0b0; stroke-width: 0.8; stroke-linecap: square\"/>\n",
" </g>\n",
" <g id=\"line2d_10\">\n",
" <g>\n",
" <use xlink:href=\"#m879bbaf0a7\" x=\"122.44422\" y=\"141.20925\" style=\"stroke: #000000; stroke-width: 0.8\"/>\n",
" </g>\n",
" </g>\n",
" <g id=\"text_5\">\n",
" <!-- 80 -->\n",
" <g transform=\"translate(125.203595 160.93425)rotate(-90)scale(0.1 -0.1)\">\n",
" <defs>\n",
" <path id=\"DejaVuSans-38\" d=\"M 2034 2216 Q 1584 2216 1326 1975 Q 1069 1734 1069 1313 Q 1069 891 1326 650 Q 1584 409 2034 409 Q 2484 409 2743 651 Q 3003 894 3003 1313 Q 3003 1734 2745 1975 Q 2488 2216 2034 2216 z M 1403 2484 Q 997 2584 770 2862 Q 544 3141 544 3541 Q 544 4100 942 4425 Q 1341 4750 2034 4750 Q 2731 4750 3128 4425 Q 3525 4100 3525 3541 Q 3525 3141 3298 2862 Q 3072 2584 2669 2484 Q 3125 2378 3379 2068 Q 3634 1759 3634 1313 Q 3634 634 3220 271 Q 2806 -91 2034 -91 Q 1263 -91 848 271 Q 434 634 434 1313 Q 434 1759 690 2068 Q 947 2378 1403 2484 z M 1172 3481 Q 1172 3119 1398 2916 Q 1625 2713 2034 2713 Q 2441 2713 2670 2916 Q 2900 3119 2900 3481 Q 2900 3844 2670 4047 Q 2441 4250 2034 4250 Q 1625 4250 1398 4047 Q 1172 3844 1172 3481 z \" transform=\"scale(0.015625)\"/>\n",
" </defs>\n",
" <use xlink:href=\"#DejaVuSans-38\"/>\n",
" <use xlink:href=\"#DejaVuSans-30\" x=\"63.623047\"/>\n",
" </g>\n",
" </g>\n",
" </g>\n",
" <g id=\"xtick_6\">\n",
" <g id=\"line2d_11\">\n",
" <path d=\"M 144.838869 141.20925 L 144.838869 32.48925 \" clip-path=\"url(#pa131b1aa9a)\" style=\"fill: none; stroke: #b0b0b0; stroke-width: 0.8; stroke-linecap: square\"/>\n",
" </g>\n",
" <g id=\"line2d_12\">\n",
" <g>\n",
" <use xlink:href=\"#m879bbaf0a7\" x=\"144.838869\" y=\"141.20925\" style=\"stroke: #000000; stroke-width: 0.8\"/>\n",
" </g>\n",
" </g>\n",
" <g id=\"text_6\">\n",
" <!-- 100 -->\n",
" <g transform=\"translate(147.598244 167.29675)rotate(-90)scale(0.1 -0.1)\">\n",
" <defs>\n",
" <path id=\"DejaVuSans-31\" d=\"M 794 531 L 1825 531 L 1825 4091 L 703 3866 L 703 4441 L 1819 4666 L 2450 4666 L 2450 531 L 3481 531 L 3481 0 L 794 0 L 794 531 z \" transform=\"scale(0.015625)\"/>\n",
" </defs>\n",
" <use xlink:href=\"#DejaVuSans-31\"/>\n",
" <use xlink:href=\"#DejaVuSans-30\" x=\"63.623047\"/>\n",
" <use xlink:href=\"#DejaVuSans-30\" x=\"127.246094\"/>\n",
" </g>\n",
" </g>\n",
" </g>\n",
" <g id=\"xtick_7\">\n",
" <g id=\"line2d_13\">\n",
" <path d=\"M 167.233518 141.20925 L 167.233518 32.48925 \" clip-path=\"url(#pa131b1aa9a)\" style=\"fill: none; stroke: #b0b0b0; stroke-width: 0.8; stroke-linecap: square\"/>\n",
" </g>\n",
" <g id=\"line2d_14\">\n",
" <g>\n",
" <use xlink:href=\"#m879bbaf0a7\" x=\"167.233518\" y=\"141.20925\" style=\"stroke: #000000; stroke-width: 0.8\"/>\n",
" </g>\n",
" </g>\n",
" <g id=\"text_7\">\n",
" <!-- 120 -->\n",
" <g transform=\"translate(169.992893 167.29675)rotate(-90)scale(0.1 -0.1)\">\n",
" <use xlink:href=\"#DejaVuSans-31\"/>\n",
" <use xlink:href=\"#DejaVuSans-32\" x=\"63.623047\"/>\n",
" <use xlink:href=\"#DejaVuSans-30\" x=\"127.246094\"/>\n",
" </g>\n",
" </g>\n",
" </g>\n",
" <g id=\"xtick_8\">\n",
" <g id=\"line2d_15\">\n",
" <path d=\"M 189.628167 141.20925 L 189.628167 32.48925 \" clip-path=\"url(#pa131b1aa9a)\" style=\"fill: none; stroke: #b0b0b0; stroke-width: 0.8; stroke-linecap: square\"/>\n",
" </g>\n",
" <g id=\"line2d_16\">\n",
" <g>\n",
" <use xlink:href=\"#m879bbaf0a7\" x=\"189.628167\" y=\"141.20925\" style=\"stroke: #000000; stroke-width: 0.8\"/>\n",
" </g>\n",
" </g>\n",
" <g id=\"text_8\">\n",
" <!-- 140 -->\n",
" <g transform=\"translate(192.387542 167.29675)rotate(-90)scale(0.1 -0.1)\">\n",
" <use xlink:href=\"#DejaVuSans-31\"/>\n",
" <use xlink:href=\"#DejaVuSans-34\" x=\"63.623047\"/>\n",
" <use xlink:href=\"#DejaVuSans-30\" x=\"127.246094\"/>\n",
" </g>\n",
" </g>\n",
" </g>\n",
" <g id=\"xtick_9\">\n",
" <g id=\"line2d_17\">\n",
" <path d=\"M 212.022816 141.20925 L 212.022816 32.48925 \" clip-path=\"url(#pa131b1aa9a)\" style=\"fill: none; stroke: #b0b0b0; stroke-width: 0.8; stroke-linecap: square\"/>\n",
" </g>\n",
" <g id=\"line2d_18\">\n",
" <g>\n",
" <use xlink:href=\"#m879bbaf0a7\" x=\"212.022816\" y=\"141.20925\" style=\"stroke: #000000; stroke-width: 0.8\"/>\n",
" </g>\n",
" </g>\n",
" <g id=\"text_9\">\n",
" <!-- 160 -->\n",
" <g transform=\"translate(214.782191 167.29675)rotate(-90)scale(0.1 -0.1)\">\n",
" <use xlink:href=\"#DejaVuSans-31\"/>\n",
" <use xlink:href=\"#DejaVuSans-36\" x=\"63.623047\"/>\n",
" <use xlink:href=\"#DejaVuSans-30\" x=\"127.246094\"/>\n",
" </g>\n",
" </g>\n",
" </g>\n",
" <g id=\"xtick_10\">\n",
" <g id=\"line2d_19\">\n",
" <path d=\"M 234.417464 141.20925 L 234.417464 32.48925 \" clip-path=\"url(#pa131b1aa9a)\" style=\"fill: none; stroke: #b0b0b0; stroke-width: 0.8; stroke-linecap: square\"/>\n",
" </g>\n",
" <g id=\"line2d_20\">\n",
" <g>\n",
" <use xlink:href=\"#m879bbaf0a7\" x=\"234.417464\" y=\"141.20925\" style=\"stroke: #000000; stroke-width: 0.8\"/>\n",
" </g>\n",
" </g>\n",
" <g id=\"text_10\">\n",
" <!-- 180 -->\n",
" <g transform=\"translate(237.176839 167.29675)rotate(-90)scale(0.1 -0.1)\">\n",
" <use xlink:href=\"#DejaVuSans-31\"/>\n",
" <use xlink:href=\"#DejaVuSans-38\" x=\"63.623047\"/>\n",
" <use xlink:href=\"#DejaVuSans-30\" x=\"127.246094\"/>\n",
" </g>\n",
" </g>\n",
" </g>\n",
" <g id=\"xtick_11\">\n",
" <g id=\"line2d_21\">\n",
" <path d=\"M 256.812113 141.20925 L 256.812113 32.48925 \" clip-path=\"url(#pa131b1aa9a)\" style=\"fill: none; stroke: #b0b0b0; stroke-width: 0.8; stroke-linecap: square\"/>\n",
" </g>\n",
" <g id=\"line2d_22\">\n",
" <g>\n",
" <use xlink:href=\"#m879bbaf0a7\" x=\"256.812113\" y=\"141.20925\" style=\"stroke: #000000; stroke-width: 0.8\"/>\n",
" </g>\n",
" </g>\n",
" <g id=\"text_11\">\n",
" <!-- 200 -->\n",
" <g transform=\"translate(259.571488 167.29675)rotate(-90)scale(0.1 -0.1)\">\n",
" <use xlink:href=\"#DejaVuSans-32\"/>\n",
" <use xlink:href=\"#DejaVuSans-30\" x=\"63.623047\"/>\n",
" <use xlink:href=\"#DejaVuSans-30\" x=\"127.246094\"/>\n",
" </g>\n",
" </g>\n",
" </g>\n",
" <g id=\"xtick_12\">\n",
" <g id=\"line2d_23\">\n",
" <path d=\"M 279.206762 141.20925 L 279.206762 32.48925 \" clip-path=\"url(#pa131b1aa9a)\" style=\"fill: none; stroke: #b0b0b0; stroke-width: 0.8; stroke-linecap: square\"/>\n",
" </g>\n",
" <g id=\"line2d_24\">\n",
" <g>\n",
" <use xlink:href=\"#m879bbaf0a7\" x=\"279.206762\" y=\"141.20925\" style=\"stroke: #000000; stroke-width: 0.8\"/>\n",
" </g>\n",
" </g>\n",
" <g id=\"text_12\">\n",
" <!-- 220 -->\n",
" <g transform=\"translate(281.966137 167.29675)rotate(-90)scale(0.1 -0.1)\">\n",
" <use xlink:href=\"#DejaVuSans-32\"/>\n",
" <use xlink:href=\"#DejaVuSans-32\" x=\"63.623047\"/>\n",
" <use xlink:href=\"#DejaVuSans-30\" x=\"127.246094\"/>\n",
" </g>\n",
" </g>\n",
" </g>\n",
" <g id=\"xtick_13\">\n",
" <g id=\"line2d_25\">\n",
" <path d=\"M 301.601411 141.20925 L 301.601411 32.48925 \" clip-path=\"url(#pa131b1aa9a)\" style=\"fill: none; stroke: #b0b0b0; stroke-width: 0.8; stroke-linecap: square\"/>\n",
" </g>\n",
" <g id=\"line2d_26\">\n",
" <g>\n",
" <use xlink:href=\"#m879bbaf0a7\" x=\"301.601411\" y=\"141.20925\" style=\"stroke: #000000; stroke-width: 0.8\"/>\n",
" </g>\n",
" </g>\n",
" <g id=\"text_13\">\n",
" <!-- 240 -->\n",
" <g transform=\"translate(304.360786 167.29675)rotate(-90)scale(0.1 -0.1)\">\n",
" <use xlink:href=\"#DejaVuSans-32\"/>\n",
" <use xlink:href=\"#DejaVuSans-34\" x=\"63.623047\"/>\n",
" <use xlink:href=\"#DejaVuSans-30\" x=\"127.246094\"/>\n",
" </g>\n",
" </g>\n",
" </g>\n",
" <g id=\"xtick_14\">\n",
" <g id=\"line2d_27\">\n",
" <path d=\"M 323.99606 141.20925 L 323.99606 32.48925 \" clip-path=\"url(#pa131b1aa9a)\" style=\"fill: none; stroke: #b0b0b0; stroke-width: 0.8; stroke-linecap: square\"/>\n",
" </g>\n",
" <g id=\"line2d_28\">\n",
" <g>\n",
" <use xlink:href=\"#m879bbaf0a7\" x=\"323.99606\" y=\"141.20925\" style=\"stroke: #000000; stroke-width: 0.8\"/>\n",
" </g>\n",
" </g>\n",
" <g id=\"text_14\">\n",
" <!-- 260 -->\n",
" <g transform=\"translate(326.755435 167.29675)rotate(-90)scale(0.1 -0.1)\">\n",
" <use xlink:href=\"#DejaVuSans-32\"/>\n",
" <use xlink:href=\"#DejaVuSans-36\" x=\"63.623047\"/>\n",
" <use xlink:href=\"#DejaVuSans-30\" x=\"127.246094\"/>\n",
" </g>\n",
" </g>\n",
" </g>\n",
" <g id=\"xtick_15\">\n",
" <g id=\"line2d_29\">\n",
" <path d=\"M 346.390709 141.20925 L 346.390709 32.48925 \" clip-path=\"url(#pa131b1aa9a)\" style=\"fill: none; stroke: #b0b0b0; stroke-width: 0.8; stroke-linecap: square\"/>\n",
" </g>\n",
" <g id=\"line2d_30\">\n",
" <g>\n",
" <use xlink:href=\"#m879bbaf0a7\" x=\"346.390709\" y=\"141.20925\" style=\"stroke: #000000; stroke-width: 0.8\"/>\n",
" </g>\n",
" </g>\n",
" <g id=\"text_15\">\n",
" <!-- 280 -->\n",
" <g transform=\"translate(349.150084 167.29675)rotate(-90)scale(0.1 -0.1)\">\n",
" <use xlink:href=\"#DejaVuSans-32\"/>\n",
" <use xlink:href=\"#DejaVuSans-38\" x=\"63.623047\"/>\n",
" <use xlink:href=\"#DejaVuSans-30\" x=\"127.246094\"/>\n",
" </g>\n",
" </g>\n",
" </g>\n",
" </g>\n",
" <g id=\"matplotlib.axis_2\">\n",
" <g id=\"ytick_1\">\n",
" <g id=\"line2d_31\">\n",
" <path d=\"M 32.865625 141.20925 L 367.665625 141.20925 \" clip-path=\"url(#pa131b1aa9a)\" style=\"fill: none; stroke: #b0b0b0; stroke-width: 0.8; stroke-linecap: square\"/>\n",
" </g>\n",
" <g id=\"line2d_32\">\n",
" <defs>\n",
" <path id=\"mdd3d1f08a7\" d=\"M 0 0 L -3.5 0 \" style=\"stroke: #000000; stroke-width: 0.8\"/>\n",
" </defs>\n",
" <g>\n",
" <use xlink:href=\"#mdd3d1f08a7\" x=\"32.865625\" y=\"141.20925\" style=\"stroke: #000000; stroke-width: 0.8\"/>\n",
" </g>\n",
" </g>\n",
" <g id=\"text_16\">\n",
" <!-- 0.00 -->\n",
" <g transform=\"translate(3.6 145.008469)scale(0.1 -0.1)\">\n",
" <defs>\n",
" <path id=\"DejaVuSans-2e\" d=\"M 684 794 L 1344 794 L 1344 0 L 684 0 L 684 794 z \" transform=\"scale(0.015625)\"/>\n",
" </defs>\n",
" <use xlink:href=\"#DejaVuSans-30\"/>\n",
" <use xlink:href=\"#DejaVuSans-2e\" x=\"63.623047\"/>\n",
" <use xlink:href=\"#DejaVuSans-30\" x=\"95.410156\"/>\n",
" <use xlink:href=\"#DejaVuSans-30\" x=\"159.033203\"/>\n",
" </g>\n",
" </g>\n",
" </g>\n",
" <g id=\"ytick_2\">\n",
" <g id=\"line2d_33\">\n",
" <path d=\"M 32.865625 115.323536 L 367.665625 115.323536 \" clip-path=\"url(#pa131b1aa9a)\" style=\"fill: none; stroke: #b0b0b0; stroke-width: 0.8; stroke-linecap: square\"/>\n",
" </g>\n",
" <g id=\"line2d_34\">\n",
" <g>\n",
" <use xlink:href=\"#mdd3d1f08a7\" x=\"32.865625\" y=\"115.323536\" style=\"stroke: #000000; stroke-width: 0.8\"/>\n",
" </g>\n",
" </g>\n",
" <g id=\"text_17\">\n",
" <!-- 0.25 -->\n",
" <g transform=\"translate(3.6 119.122754)scale(0.1 -0.1)\">\n",
" <defs>\n",
" <path id=\"DejaVuSans-35\" d=\"M 691 4666 L 3169 4666 L 3169 4134 L 1269 4134 L 1269 2991 Q 1406 3038 1543 3061 Q 1681 3084 1819 3084 Q 2600 3084 3056 2656 Q 3513 2228 3513 1497 Q 3513 744 3044 326 Q 2575 -91 1722 -91 Q 1428 -91 1123 -41 Q 819 9 494 109 L 494 744 Q 775 591 1075 516 Q 1375 441 1709 441 Q 2250 441 2565 725 Q 2881 1009 2881 1497 Q 2881 1984 2565 2268 Q 2250 2553 1709 2553 Q 1456 2553 1204 2497 Q 953 2441 691 2322 L 691 4666 z \" transform=\"scale(0.015625)\"/>\n",
" </defs>\n",
" <use xlink:href=\"#DejaVuSans-30\"/>\n",
" <use xlink:href=\"#DejaVuSans-2e\" x=\"63.623047\"/>\n",
" <use xlink:href=\"#DejaVuSans-32\" x=\"95.410156\"/>\n",
" <use xlink:href=\"#DejaVuSans-35\" x=\"159.033203\"/>\n",
" </g>\n",
" </g>\n",
" </g>\n",
" <g id=\"ytick_3\">\n",
" <g id=\"line2d_35\">\n",
" <path d=\"M 32.865625 89.437821 L 367.665625 89.437821 \" clip-path=\"url(#pa131b1aa9a)\" style=\"fill: none; stroke: #b0b0b0; stroke-width: 0.8; stroke-linecap: square\"/>\n",
" </g>\n",
" <g id=\"line2d_36\">\n",
" <g>\n",
" <use xlink:href=\"#mdd3d1f08a7\" x=\"32.865625\" y=\"89.437821\" style=\"stroke: #000000; stroke-width: 0.8\"/>\n",
" </g>\n",
" </g>\n",
" <g id=\"text_18\">\n",
" <!-- 0.50 -->\n",
" <g transform=\"translate(3.6 93.23704)scale(0.1 -0.1)\">\n",
" <use xlink:href=\"#DejaVuSans-30\"/>\n",
" <use xlink:href=\"#DejaVuSans-2e\" x=\"63.623047\"/>\n",
" <use xlink:href=\"#DejaVuSans-35\" x=\"95.410156\"/>\n",
" <use xlink:href=\"#DejaVuSans-30\" x=\"159.033203\"/>\n",
" </g>\n",
" </g>\n",
" </g>\n",
" <g id=\"ytick_4\">\n",
" <g id=\"line2d_37\">\n",
" <path d=\"M 32.865625 63.552107 L 367.665625 63.552107 \" clip-path=\"url(#pa131b1aa9a)\" style=\"fill: none; stroke: #b0b0b0; stroke-width: 0.8; stroke-linecap: square\"/>\n",
" </g>\n",
" <g id=\"line2d_38\">\n",
" <g>\n",
" <use xlink:href=\"#mdd3d1f08a7\" x=\"32.865625\" y=\"63.552107\" style=\"stroke: #000000; stroke-width: 0.8\"/>\n",
" </g>\n",
" </g>\n",
" <g id=\"text_19\">\n",
" <!-- 0.75 -->\n",
" <g transform=\"translate(3.6 67.351326)scale(0.1 -0.1)\">\n",
" <defs>\n",
" <path id=\"DejaVuSans-37\" d=\"M 525 4666 L 3525 4666 L 3525 4397 L 1831 0 L 1172 0 L 2766 4134 L 525 4134 L 525 4666 z \" transform=\"scale(0.015625)\"/>\n",
" </defs>\n",
" <use xlink:href=\"#DejaVuSans-30\"/>\n",
" <use xlink:href=\"#DejaVuSans-2e\" x=\"63.623047\"/>\n",
" <use xlink:href=\"#DejaVuSans-37\" x=\"95.410156\"/>\n",
" <use xlink:href=\"#DejaVuSans-35\" x=\"159.033203\"/>\n",
" </g>\n",
" </g>\n",
" </g>\n",
" <g id=\"ytick_5\">\n",
" <g id=\"line2d_39\">\n",
" <path d=\"M 32.865625 37.666393 L 367.665625 37.666393 \" clip-path=\"url(#pa131b1aa9a)\" style=\"fill: none; stroke: #b0b0b0; stroke-width: 0.8; stroke-linecap: square\"/>\n",
" </g>\n",
" <g id=\"line2d_40\">\n",
" <g>\n",
" <use xlink:href=\"#mdd3d1f08a7\" x=\"32.865625\" y=\"37.666393\" style=\"stroke: #000000; stroke-width: 0.8\"/>\n",
" </g>\n",
" </g>\n",
" <g id=\"text_20\">\n",
" <!-- 1.00 -->\n",
" <g transform=\"translate(3.6 41.465612)scale(0.1 -0.1)\">\n",
" <use xlink:href=\"#DejaVuSans-31\"/>\n",
" <use xlink:href=\"#DejaVuSans-2e\" x=\"63.623047\"/>\n",
" <use xlink:href=\"#DejaVuSans-30\" x=\"95.410156\"/>\n",
" <use xlink:href=\"#DejaVuSans-30\" x=\"159.033203\"/>\n",
" </g>\n",
" </g>\n",
" </g>\n",
" </g>\n",
" <g id=\"patch_3\">\n",
" <path d=\"M 32.865625 141.20925 L 32.865625 32.48925 \" style=\"fill: none; stroke: #000000; stroke-width: 0.8; stroke-linejoin: miter; stroke-linecap: square\"/>\n",
" </g>\n",
" <g id=\"patch_4\">\n",
" <path d=\"M 367.665625 141.20925 L 367.665625 32.48925 \" style=\"fill: none; stroke: #000000; stroke-width: 0.8; stroke-linejoin: miter; stroke-linecap: square\"/>\n",
" </g>\n",
" <g id=\"patch_5\">\n",
" <path d=\"M 32.865625 141.20925 L 367.665625 141.20925 \" style=\"fill: none; stroke: #000000; stroke-width: 0.8; stroke-linejoin: miter; stroke-linecap: square\"/>\n",
" </g>\n",
" <g id=\"patch_6\">\n",
" <path d=\"M 32.865625 32.48925 L 367.665625 32.48925 \" style=\"fill: none; stroke: #000000; stroke-width: 0.8; stroke-linejoin: miter; stroke-linecap: square\"/>\n",
" </g>\n",
" <g id=\"text_21\">\n",
" <!-- theta_fpr -->\n",
" <g transform=\"translate(173.002187 12.718125)scale(0.12 -0.12)\">\n",
" <defs>\n",
" <path id=\"DejaVuSans-74\" d=\"M 1172 4494 L 1172 3500 L 2356 3500 L 2356 3053 L 1172 3053 L 1172 1153 Q 1172 725 1289 603 Q 1406 481 1766 481 L 2356 481 L 2356 0 L 1766 0 Q 1100 0 847 248 Q 594 497 594 1153 L 594 3053 L 172 3053 L 172 3500 L 594 3500 L 594 4494 L 1172 4494 z \" transform=\"scale(0.015625)\"/>\n",
" <path id=\"DejaVuSans-68\" d=\"M 3513 2113 L 3513 0 L 2938 0 L 2938 2094 Q 2938 2591 2744 2837 Q 2550 3084 2163 3084 Q 1697 3084 1428 2787 Q 1159 2491 1159 1978 L 1159 0 L 581 0 L 581 4863 L 1159 4863 L 1159 2956 Q 1366 3272 1645 3428 Q 1925 3584 2291 3584 Q 2894 3584 3203 3211 Q 3513 2838 3513 2113 z \" transform=\"scale(0.015625)\"/>\n",
" <path id=\"DejaVuSans-65\" d=\"M 3597 1894 L 3597 1613 L 953 1613 Q 991 1019 1311 708 Q 1631 397 2203 397 Q 2534 397 2845 478 Q 3156 559 3463 722 L 3463 178 Q 3153 47 2828 -22 Q 2503 -91 2169 -91 Q 1331 -91 842 396 Q 353 884 353 1716 Q 353 2575 817 3079 Q 1281 3584 2069 3584 Q 2775 3584 3186 3129 Q 3597 2675 3597 1894 z M 3022 2063 Q 3016 2534 2758 2815 Q 2500 3097 2075 3097 Q 1594 3097 1305 2825 Q 1016 2553 972 2059 L 3022 2063 z \" transform=\"scale(0.015625)\"/>\n",
" <path id=\"DejaVuSans-61\" d=\"M 2194 1759 Q 1497 1759 1228 1600 Q 959 1441 959 1056 Q 959 750 1161 570 Q 1363 391 1709 391 Q 2188 391 2477 730 Q 2766 1069 2766 1631 L 2766 1759 L 2194 1759 z M 3341 1997 L 3341 0 L 2766 0 L 2766 531 Q 2569 213 2275 61 Q 1981 -91 1556 -91 Q 1019 -91 701 211 Q 384 513 384 1019 Q 384 1609 779 1909 Q 1175 2209 1959 2209 L 2766 2209 L 2766 2266 Q 2766 2663 2505 2880 Q 2244 3097 1772 3097 Q 1472 3097 1187 3025 Q 903 2953 641 2809 L 641 3341 Q 956 3463 1253 3523 Q 1550 3584 1831 3584 Q 2591 3584 2966 3190 Q 3341 2797 3341 1997 z \" transform=\"scale(0.015625)\"/>\n",
" <path id=\"DejaVuSans-5f\" d=\"M 3263 -1063 L 3263 -1509 L -63 -1509 L -63 -1063 L 3263 -1063 z \" transform=\"scale(0.015625)\"/>\n",
" <path id=\"DejaVuSans-66\" d=\"M 2375 4863 L 2375 4384 L 1825 4384 Q 1516 4384 1395 4259 Q 1275 4134 1275 3809 L 1275 3500 L 2222 3500 L 2222 3053 L 1275 3053 L 1275 0 L 697 0 L 697 3053 L 147 3053 L 147 3500 L 697 3500 L 697 3744 Q 697 4328 969 4595 Q 1241 4863 1831 4863 L 2375 4863 z \" transform=\"scale(0.015625)\"/>\n",
" <path id=\"DejaVuSans-70\" d=\"M 1159 525 L 1159 -1331 L 581 -1331 L 581 3500 L 1159 3500 L 1159 2969 Q 1341 3281 1617 3432 Q 1894 3584 2278 3584 Q 2916 3584 3314 3078 Q 3713 2572 3713 1747 Q 3713 922 3314 415 Q 2916 -91 2278 -91 Q 1894 -91 1617 61 Q 1341 213 1159 525 z M 3116 1747 Q 3116 2381 2855 2742 Q 2594 3103 2138 3103 Q 1681 3103 1420 2742 Q 1159 2381 1159 1747 Q 1159 1113 1420 752 Q 1681 391 2138 391 Q 2594 391 2855 752 Q 3116 1113 3116 1747 z \" transform=\"scale(0.015625)\"/>\n",
" <path id=\"DejaVuSans-72\" d=\"M 2631 2963 Q 2534 3019 2420 3045 Q 2306 3072 2169 3072 Q 1681 3072 1420 2755 Q 1159 2438 1159 1844 L 1159 0 L 581 0 L 581 3500 L 1159 3500 L 1159 2956 Q 1341 3275 1631 3429 Q 1922 3584 2338 3584 Q 2397 3584 2469 3576 Q 2541 3569 2628 3553 L 2631 2963 z \" transform=\"scale(0.015625)\"/>\n",
" </defs>\n",
" <use xlink:href=\"#DejaVuSans-74\"/>\n",
" <use xlink:href=\"#DejaVuSans-68\" x=\"39.208984\"/>\n",
" <use xlink:href=\"#DejaVuSans-65\" x=\"102.587891\"/>\n",
" <use xlink:href=\"#DejaVuSans-74\" x=\"164.111328\"/>\n",
" <use xlink:href=\"#DejaVuSans-61\" x=\"203.320312\"/>\n",
" <use xlink:href=\"#DejaVuSans-5f\" x=\"264.599609\"/>\n",
" <use xlink:href=\"#DejaVuSans-66\" x=\"314.599609\"/>\n",
" <use xlink:href=\"#DejaVuSans-70\" x=\"349.804688\"/>\n",
" <use xlink:href=\"#DejaVuSans-72\" x=\"413.28125\"/>\n",
" </g>\n",
" <!-- $\\mu=3.00$; $\\sigma=0.00$ -->\n",
" <g transform=\"translate(147.225625 26.48925)scale(0.12 -0.12)\">\n",
" <defs>\n",
" <path id=\"DejaVuSans-Oblique-3bc\" d=\"M -84 -1331 L 856 3500 L 1434 3500 L 1009 1322 Q 997 1256 987 1175 Q 978 1094 978 1013 Q 978 722 1161 565 Q 1344 409 1684 409 Q 2147 409 2431 671 Q 2716 934 2816 1459 L 3213 3500 L 3788 3500 L 3266 809 Q 3253 750 3248 706 Q 3244 663 3244 628 Q 3244 531 3283 486 Q 3322 441 3406 441 Q 3438 441 3492 456 Q 3547 472 3647 513 L 3559 50 Q 3422 -19 3297 -55 Q 3172 -91 3053 -91 Q 2847 -91 2730 40 Q 2613 172 2613 403 Q 2438 153 2195 31 Q 1953 -91 1625 -91 Q 1334 -91 1117 43 Q 900 178 831 397 L 494 -1331 L -84 -1331 z \" transform=\"scale(0.015625)\"/>\n",
" <path id=\"DejaVuSans-3d\" d=\"M 678 2906 L 4684 2906 L 4684 2381 L 678 2381 L 678 2906 z M 678 1631 L 4684 1631 L 4684 1100 L 678 1100 L 678 1631 z \" transform=\"scale(0.015625)\"/>\n",
" <path id=\"DejaVuSans-33\" d=\"M 2597 2516 Q 3050 2419 3304 2112 Q 3559 1806 3559 1356 Q 3559 666 3084 287 Q 2609 -91 1734 -91 Q 1441 -91 1130 -33 Q 819 25 488 141 L 488 750 Q 750 597 1062 519 Q 1375 441 1716 441 Q 2309 441 2620 675 Q 2931 909 2931 1356 Q 2931 1769 2642 2001 Q 2353 2234 1838 2234 L 1294 2234 L 1294 2753 L 1863 2753 Q 2328 2753 2575 2939 Q 2822 3125 2822 3475 Q 2822 3834 2567 4026 Q 2313 4219 1838 4219 Q 1578 4219 1281 4162 Q 984 4106 628 3988 L 628 4550 Q 988 4650 1302 4700 Q 1616 4750 1894 4750 Q 2613 4750 3031 4423 Q 3450 4097 3450 3541 Q 3450 3153 3228 2886 Q 3006 2619 2597 2516 z \" transform=\"scale(0.015625)\"/>\n",
" <path id=\"DejaVuSans-3b\" d=\"M 750 3309 L 1409 3309 L 1409 2516 L 750 2516 L 750 3309 z M 750 794 L 1409 794 L 1409 256 L 897 -744 L 494 -744 L 750 256 L 750 794 z \" transform=\"scale(0.015625)\"/>\n",
" <path id=\"DejaVuSans-20\" transform=\"scale(0.015625)\"/>\n",
" <path id=\"DejaVuSans-Oblique-3c3\" d=\"M 2219 3044 Q 1744 3044 1422 2700 Q 1081 2341 969 1747 Q 844 1119 1044 756 Q 1241 397 1706 397 Q 2166 397 2503 759 Q 2844 1122 2966 1747 Q 3075 2319 2881 2700 Q 2700 3044 2219 3044 z M 2309 3503 L 4219 3500 L 4106 2925 L 3463 2925 Q 3706 2438 3575 1747 Q 3406 888 2884 400 Q 2359 -91 1609 -91 Q 856 -91 525 400 Q 194 888 363 1747 Q 528 2609 1050 3097 Q 1484 3503 2309 3503 z \" transform=\"scale(0.015625)\"/>\n",
" </defs>\n",
" <use xlink:href=\"#DejaVuSans-Oblique-3bc\" transform=\"translate(0 0.78125)\"/>\n",
" <use xlink:href=\"#DejaVuSans-3d\" transform=\"translate(83.105469 0.78125)\"/>\n",
" <use xlink:href=\"#DejaVuSans-33\" transform=\"translate(186.376953 0.78125)\"/>\n",
" <use xlink:href=\"#DejaVuSans-2e\" transform=\"translate(250 0.78125)\"/>\n",
" <use xlink:href=\"#DejaVuSans-30\" transform=\"translate(281.787109 0.78125)\"/>\n",
" <use xlink:href=\"#DejaVuSans-30\" transform=\"translate(345.410156 0.78125)\"/>\n",
" <use xlink:href=\"#DejaVuSans-3b\" transform=\"translate(409.033203 0.78125)\"/>\n",
" <use xlink:href=\"#DejaVuSans-20\" transform=\"translate(442.724609 0.78125)\"/>\n",
" <use xlink:href=\"#DejaVuSans-Oblique-3c3\" transform=\"translate(474.511719 0.78125)\"/>\n",
" <use xlink:href=\"#DejaVuSans-3d\" transform=\"translate(557.373047 0.78125)\"/>\n",
" <use xlink:href=\"#DejaVuSans-30\" transform=\"translate(660.644531 0.78125)\"/>\n",
" <use xlink:href=\"#DejaVuSans-2e\" transform=\"translate(724.267578 0.78125)\"/>\n",
" <use xlink:href=\"#DejaVuSans-30\" transform=\"translate(756.054688 0.78125)\"/>\n",
" <use xlink:href=\"#DejaVuSans-30\" transform=\"translate(819.677734 0.78125)\"/>\n",
" </g>\n",
" </g>\n",
" </g>\n",
" </g>\n",
" <defs>\n",
" <clipPath id=\"pa131b1aa9a\">\n",
" <rect x=\"32.865625\" y=\"32.48925\" width=\"334.8\" height=\"108.72\"/>\n",
" </clipPath>\n",
" </defs>\n",
"</svg>\n",
"\n",
"</g>\n",
"<!-- y_pred -->\n",
"<g id=\"node5\" class=\"node\">\n",
"<title>y_pred</title>\n",
"<polygon fill=\"#e0e0e0\" stroke=\"#000000\" points=\"402,-64 301,-64 301,-23 402,-23 402,-64\"/>\n",
"<svg viewBox=\"0 0 132.1625 52.998125\" width=\"101px\" height=\"41px\" preserveAspectRatio=\"xMinYMin meet\" x=\"301\" y=\"-64\"> <metadata>\n",
" <rdf:RDF xmlns:dc=\"http://purl.org/dc/elements/1.1/\" xmlns:cc=\"http://creativecommons.org/ns#\" xmlns:rdf=\"http://www.w3.org/1999/02/22-rdf-syntax-ns#\">\n",
" <cc:Work>\n",
" <dc:type rdf:resource=\"http://purl.org/dc/dcmitype/StillImage\"/>\n",
" <dc:date>2022-07-11T02:49:38.872328</dc:date>\n",
" <dc:format>image/svg+xml</dc:format>\n",
" <dc:creator>\n",
" <cc:Agent>\n",
" <dc:title>Matplotlib v3.5.2, https://matplotlib.org/</dc:title>\n",
" </cc:Agent>\n",
" </dc:creator>\n",
" </cc:Work>\n",
" </rdf:RDF>\n",
" </metadata>\n",
" <defs>\n",
" <style type=\"text/css\">*{stroke-linejoin: round; stroke-linecap: butt}</style>\n",
" </defs>\n",
" <g id=\"figure_1\">\n",
" <g id=\"patch_1\">\n",
" <path d=\"M 0 52.998125 L 132.1625 52.998125 L 132.1625 0 L 0 0 z \" style=\"fill: #e0e0e0\"/>\n",
" </g>\n",
" <g id=\"axes_1\">\n",
" <g id=\"patch_2\">\n",
" <path d=\"M 16.9625 45.898125 L 128.5625 45.898125 L 128.5625 18.718125 L 16.9625 18.718125 z \" style=\"fill: #ffffff\"/>\n",
" </g>\n",
" <g id=\"patch_3\">\n",
" <path d=\"M 16.9625 45.898125 L 18.082232 45.898125 L 18.082232 33.818125 L 16.9625 33.818125 z \" clip-path=\"url(#pd47bb78659)\" style=\"fill: #8fbc8f\"/>\n",
" </g>\n",
" <g id=\"patch_4\">\n",
" <path d=\"M 16.9625 30.798125 L 127.442768 30.798125 L 127.442768 18.718125 L 16.9625 18.718125 z \" clip-path=\"url(#pd47bb78659)\" style=\"fill: #8fbc8f\"/>\n",
" </g>\n",
" <g id=\"matplotlib.axis_1\">\n",
" <g id=\"xtick_1\">\n",
" <g id=\"line2d_1\">\n",
" <path d=\"M 16.9625 45.898125 L 16.9625 18.718125 \" clip-path=\"url(#pd47bb78659)\" style=\"fill: none; stroke: #b0b0b0; stroke-width: 0.8; stroke-linecap: square\"/>\n",
" </g>\n",
" <g id=\"line2d_2\">\n",
" <defs>\n",
" <path id=\"m163ea4567d\" d=\"M 0 0 L 0 3.5 \" style=\"stroke: #000000; stroke-width: 0.8\"/>\n",
" </defs>\n",
" <g>\n",
" <use xlink:href=\"#m163ea4567d\" x=\"16.9625\" y=\"45.898125\" style=\"stroke: #000000; stroke-width: 0.8\"/>\n",
" </g>\n",
" </g>\n",
" </g>\n",
" <g id=\"xtick_2\">\n",
" <g id=\"line2d_3\">\n",
" <path d=\"M 72.7625 45.898125 L 72.7625 18.718125 \" clip-path=\"url(#pd47bb78659)\" style=\"fill: none; stroke: #b0b0b0; stroke-width: 0.8; stroke-linecap: square\"/>\n",
" </g>\n",
" <g id=\"line2d_4\">\n",
" <g>\n",
" <use xlink:href=\"#m163ea4567d\" x=\"72.7625\" y=\"45.898125\" style=\"stroke: #000000; stroke-width: 0.8\"/>\n",
" </g>\n",
" </g>\n",
" </g>\n",
" <g id=\"xtick_3\">\n",
" <g id=\"line2d_5\">\n",
" <path d=\"M 128.5625 45.898125 L 128.5625 18.718125 \" clip-path=\"url(#pd47bb78659)\" style=\"fill: none; stroke: #b0b0b0; stroke-width: 0.8; stroke-linecap: square\"/>\n",
" </g>\n",
" <g id=\"line2d_6\">\n",
" <g>\n",
" <use xlink:href=\"#m163ea4567d\" x=\"128.5625\" y=\"45.898125\" style=\"stroke: #000000; stroke-width: 0.8\"/>\n",
" </g>\n",
" </g>\n",
" </g>\n",
" </g>\n",
" <g id=\"matplotlib.axis_2\">\n",
" <g id=\"ytick_1\">\n",
" <g id=\"line2d_7\">\n",
" <defs>\n",
" <path id=\"m6d304597dd\" d=\"M 0 0 L -3.5 0 \" style=\"stroke: #000000; stroke-width: 0.8\"/>\n",
" </defs>\n",
" <g>\n",
" <use xlink:href=\"#m6d304597dd\" x=\"16.9625\" y=\"39.858125\" style=\"stroke: #000000; stroke-width: 0.8\"/>\n",
" </g>\n",
" </g>\n",
" <g id=\"text_1\">\n",
" <!-- 1 -->\n",
" <g transform=\"translate(3.6 43.657344)scale(0.1 -0.1)\">\n",
" <defs>\n",
" <path id=\"DejaVuSans-31\" d=\"M 794 531 L 1825 531 L 1825 4091 L 703 3866 L 703 4441 L 1819 4666 L 2450 4666 L 2450 531 L 3481 531 L 3481 0 L 794 0 L 794 531 z \" transform=\"scale(0.015625)\"/>\n",
" </defs>\n",
" <use xlink:href=\"#DejaVuSans-31\"/>\n",
" </g>\n",
" </g>\n",
" </g>\n",
" <g id=\"ytick_2\">\n",
" <g id=\"line2d_8\">\n",
" <g>\n",
" <use xlink:href=\"#m6d304597dd\" x=\"16.9625\" y=\"24.758125\" style=\"stroke: #000000; stroke-width: 0.8\"/>\n",
" </g>\n",
" </g>\n",
" <g id=\"text_2\">\n",
" <!-- 0 -->\n",
" <g transform=\"translate(3.6 28.557344)scale(0.1 -0.1)\">\n",
" <defs>\n",
" <path id=\"DejaVuSans-30\" d=\"M 2034 4250 Q 1547 4250 1301 3770 Q 1056 3291 1056 2328 Q 1056 1369 1301 889 Q 1547 409 2034 409 Q 2525 409 2770 889 Q 3016 1369 3016 2328 Q 3016 3291 2770 3770 Q 2525 4250 2034 4250 z M 2034 4750 Q 2819 4750 3233 4129 Q 3647 3509 3647 2328 Q 3647 1150 3233 529 Q 2819 -91 2034 -91 Q 1250 -91 836 529 Q 422 1150 422 2328 Q 422 3509 836 4129 Q 1250 4750 2034 4750 z \" transform=\"scale(0.015625)\"/>\n",
" </defs>\n",
" <use xlink:href=\"#DejaVuSans-30\"/>\n",
" </g>\n",
" </g>\n",
" </g>\n",
" </g>\n",
" <g id=\"patch_5\">\n",
" <path d=\"M 16.9625 45.898125 L 16.9625 18.718125 \" style=\"fill: none; stroke: #000000; stroke-width: 0.8; stroke-linejoin: miter; stroke-linecap: square\"/>\n",
" </g>\n",
" <g id=\"patch_6\">\n",
" <path d=\"M 128.5625 45.898125 L 128.5625 18.718125 \" style=\"fill: none; stroke: #000000; stroke-width: 0.8; stroke-linejoin: miter; stroke-linecap: square\"/>\n",
" </g>\n",
" <g id=\"patch_7\">\n",
" <path d=\"M 16.9625 45.898125 L 128.5625 45.898125 \" style=\"fill: none; stroke: #000000; stroke-width: 0.8; stroke-linejoin: miter; stroke-linecap: square\"/>\n",
" </g>\n",
" <g id=\"patch_8\">\n",
" <path d=\"M 16.9625 18.718125 L 128.5625 18.718125 \" style=\"fill: none; stroke: #000000; stroke-width: 0.8; stroke-linejoin: miter; stroke-linecap: square\"/>\n",
" </g>\n",
" <g id=\"text_3\">\n",
" <!-- 1.00% -->\n",
" <g transform=\"translate(96.795312 43.818437)scale(0.1 -0.1)\">\n",
" <defs>\n",
" <path id=\"DejaVuSans-2e\" d=\"M 684 794 L 1344 794 L 1344 0 L 684 0 L 684 794 z \" transform=\"scale(0.015625)\"/>\n",
" <path id=\"DejaVuSans-25\" d=\"M 4653 2053 Q 4381 2053 4226 1822 Q 4072 1591 4072 1178 Q 4072 772 4226 539 Q 4381 306 4653 306 Q 4919 306 5073 539 Q 5228 772 5228 1178 Q 5228 1588 5073 1820 Q 4919 2053 4653 2053 z M 4653 2450 Q 5147 2450 5437 2106 Q 5728 1763 5728 1178 Q 5728 594 5436 251 Q 5144 -91 4653 -91 Q 4153 -91 3862 251 Q 3572 594 3572 1178 Q 3572 1766 3864 2108 Q 4156 2450 4653 2450 z M 1428 4353 Q 1159 4353 1004 4120 Q 850 3888 850 3481 Q 850 3069 1003 2837 Q 1156 2606 1428 2606 Q 1700 2606 1854 2837 Q 2009 3069 2009 3481 Q 2009 3884 1853 4118 Q 1697 4353 1428 4353 z M 4250 4750 L 4750 4750 L 1831 -91 L 1331 -91 L 4250 4750 z M 1428 4750 Q 1922 4750 2215 4408 Q 2509 4066 2509 3481 Q 2509 2891 2217 2550 Q 1925 2209 1428 2209 Q 931 2209 642 2551 Q 353 2894 353 3481 Q 353 4063 643 4406 Q 934 4750 1428 4750 z \" transform=\"scale(0.015625)\"/>\n",
" </defs>\n",
" <use xlink:href=\"#DejaVuSans-31\"/>\n",
" <use xlink:href=\"#DejaVuSans-2e\" x=\"63.623047\"/>\n",
" <use xlink:href=\"#DejaVuSans-30\" x=\"95.410156\"/>\n",
" <use xlink:href=\"#DejaVuSans-30\" x=\"159.033203\"/>\n",
" <use xlink:href=\"#DejaVuSans-25\" x=\"222.65625\"/>\n",
" </g>\n",
" </g>\n",
" <g id=\"text_4\">\n",
" <!-- 99.00% -->\n",
" <g transform=\"translate(90.432812 28.718437)scale(0.1 -0.1)\">\n",
" <defs>\n",
" <path id=\"DejaVuSans-39\" d=\"M 703 97 L 703 672 Q 941 559 1184 500 Q 1428 441 1663 441 Q 2288 441 2617 861 Q 2947 1281 2994 2138 Q 2813 1869 2534 1725 Q 2256 1581 1919 1581 Q 1219 1581 811 2004 Q 403 2428 403 3163 Q 403 3881 828 4315 Q 1253 4750 1959 4750 Q 2769 4750 3195 4129 Q 3622 3509 3622 2328 Q 3622 1225 3098 567 Q 2575 -91 1691 -91 Q 1453 -91 1209 -44 Q 966 3 703 97 z M 1959 2075 Q 2384 2075 2632 2365 Q 2881 2656 2881 3163 Q 2881 3666 2632 3958 Q 2384 4250 1959 4250 Q 1534 4250 1286 3958 Q 1038 3666 1038 3163 Q 1038 2656 1286 2365 Q 1534 2075 1959 2075 z \" transform=\"scale(0.015625)\"/>\n",
" </defs>\n",
" <use xlink:href=\"#DejaVuSans-39\"/>\n",
" <use xlink:href=\"#DejaVuSans-39\" x=\"63.623047\"/>\n",
" <use xlink:href=\"#DejaVuSans-2e\" x=\"127.246094\"/>\n",
" <use xlink:href=\"#DejaVuSans-30\" x=\"159.033203\"/>\n",
" <use xlink:href=\"#DejaVuSans-30\" x=\"222.65625\"/>\n",
" <use xlink:href=\"#DejaVuSans-25\" x=\"286.279297\"/>\n",
" </g>\n",
" </g>\n",
" <g id=\"text_5\">\n",
" <!-- y_pred -->\n",
" <g transform=\"translate(52.569688 12.718125)scale(0.12 -0.12)\">\n",
" <defs>\n",
" <path id=\"DejaVuSans-79\" d=\"M 2059 -325 Q 1816 -950 1584 -1140 Q 1353 -1331 966 -1331 L 506 -1331 L 506 -850 L 844 -850 Q 1081 -850 1212 -737 Q 1344 -625 1503 -206 L 1606 56 L 191 3500 L 800 3500 L 1894 763 L 2988 3500 L 3597 3500 L 2059 -325 z \" transform=\"scale(0.015625)\"/>\n",
" <path id=\"DejaVuSans-5f\" d=\"M 3263 -1063 L 3263 -1509 L -63 -1509 L -63 -1063 L 3263 -1063 z \" transform=\"scale(0.015625)\"/>\n",
" <path id=\"DejaVuSans-70\" d=\"M 1159 525 L 1159 -1331 L 581 -1331 L 581 3500 L 1159 3500 L 1159 2969 Q 1341 3281 1617 3432 Q 1894 3584 2278 3584 Q 2916 3584 3314 3078 Q 3713 2572 3713 1747 Q 3713 922 3314 415 Q 2916 -91 2278 -91 Q 1894 -91 1617 61 Q 1341 213 1159 525 z M 3116 1747 Q 3116 2381 2855 2742 Q 2594 3103 2138 3103 Q 1681 3103 1420 2742 Q 1159 2381 1159 1747 Q 1159 1113 1420 752 Q 1681 391 2138 391 Q 2594 391 2855 752 Q 3116 1113 3116 1747 z \" transform=\"scale(0.015625)\"/>\n",
" <path id=\"DejaVuSans-72\" d=\"M 2631 2963 Q 2534 3019 2420 3045 Q 2306 3072 2169 3072 Q 1681 3072 1420 2755 Q 1159 2438 1159 1844 L 1159 0 L 581 0 L 581 3500 L 1159 3500 L 1159 2956 Q 1341 3275 1631 3429 Q 1922 3584 2338 3584 Q 2397 3584 2469 3576 Q 2541 3569 2628 3553 L 2631 2963 z \" transform=\"scale(0.015625)\"/>\n",
" <path id=\"DejaVuSans-65\" d=\"M 3597 1894 L 3597 1613 L 953 1613 Q 991 1019 1311 708 Q 1631 397 2203 397 Q 2534 397 2845 478 Q 3156 559 3463 722 L 3463 178 Q 3153 47 2828 -22 Q 2503 -91 2169 -91 Q 1331 -91 842 396 Q 353 884 353 1716 Q 353 2575 817 3079 Q 1281 3584 2069 3584 Q 2775 3584 3186 3129 Q 3597 2675 3597 1894 z M 3022 2063 Q 3016 2534 2758 2815 Q 2500 3097 2075 3097 Q 1594 3097 1305 2825 Q 1016 2553 972 2059 L 3022 2063 z \" transform=\"scale(0.015625)\"/>\n",
" <path id=\"DejaVuSans-64\" d=\"M 2906 2969 L 2906 4863 L 3481 4863 L 3481 0 L 2906 0 L 2906 525 Q 2725 213 2448 61 Q 2172 -91 1784 -91 Q 1150 -91 751 415 Q 353 922 353 1747 Q 353 2572 751 3078 Q 1150 3584 1784 3584 Q 2172 3584 2448 3432 Q 2725 3281 2906 2969 z M 947 1747 Q 947 1113 1208 752 Q 1469 391 1925 391 Q 2381 391 2643 752 Q 2906 1113 2906 1747 Q 2906 2381 2643 2742 Q 2381 3103 1925 3103 Q 1469 3103 1208 2742 Q 947 2381 947 1747 z \" transform=\"scale(0.015625)\"/>\n",
" </defs>\n",
" <use xlink:href=\"#DejaVuSans-79\"/>\n",
" <use xlink:href=\"#DejaVuSans-5f\" x=\"59.179688\"/>\n",
" <use xlink:href=\"#DejaVuSans-70\" x=\"109.179688\"/>\n",
" <use xlink:href=\"#DejaVuSans-72\" x=\"172.65625\"/>\n",
" <use xlink:href=\"#DejaVuSans-65\" x=\"211.519531\"/>\n",
" <use xlink:href=\"#DejaVuSans-64\" x=\"273.042969\"/>\n",
" </g>\n",
" </g>\n",
" </g>\n",
" </g>\n",
" <defs>\n",
" <clipPath id=\"pd47bb78659\">\n",
" <rect x=\"16.9625\" y=\"18.718125\" width=\"111.6\" height=\"27.18\"/>\n",
" </clipPath>\n",
" </defs>\n",
"</svg>\n",
"\n",
"</g>\n",
"<!-- theta_fpr&#45;&gt;y_pred -->\n",
"<g id=\"edge4\" class=\"edge\">\n",
"<title>theta_fpr-&gt;y_pred</title>\n",
"<g id=\"a_edge4\"><a xlink:title=\"(1, 4):\">\n",
"<path fill=\"none\" stroke=\"#4a4a4a\" d=\"M351.5,-99.9816C351.5,-91.0601 351.5,-82.2619 351.5,-74.3618\"/>\n",
"<polygon fill=\"#4a4a4a\" stroke=\"#4a4a4a\" points=\"355.0001,-74.2184 351.5,-64.2184 348.0001,-74.2184 355.0001,-74.2184\"/>\n",
"</a>\n",
"</g>\n",
"</g>\n",
"<!-- theta_fnr -->\n",
"<g id=\"node3\" class=\"node\">\n",
"<title>theta_fnr</title>\n",
"<polygon fill=\"#f4a460\" stroke=\"#000000\" points=\"789.5,-230 509.5,-230 509.5,-100 789.5,-100 789.5,-230\"/>\n",
"<svg viewBox=\"0 0 371.265625 170.89675\" width=\"280px\" height=\"130px\" preserveAspectRatio=\"xMinYMin meet\" x=\"509.5\" y=\"-230\"> <metadata>\n",
" <rdf:RDF xmlns:dc=\"http://purl.org/dc/elements/1.1/\" xmlns:cc=\"http://creativecommons.org/ns#\" xmlns:rdf=\"http://www.w3.org/1999/02/22-rdf-syntax-ns#\">\n",
" <cc:Work>\n",
" <dc:type rdf:resource=\"http://purl.org/dc/dcmitype/StillImage\"/>\n",
" <dc:date>2022-07-11T02:49:38.553246</dc:date>\n",
" <dc:format>image/svg+xml</dc:format>\n",
" <dc:creator>\n",
" <cc:Agent>\n",
" <dc:title>Matplotlib v3.5.2, https://matplotlib.org/</dc:title>\n",
" </cc:Agent>\n",
" </dc:creator>\n",
" </cc:Work>\n",
" </rdf:RDF>\n",
" </metadata>\n",
" <defs>\n",
" <style type=\"text/css\">*{stroke-linejoin: round; stroke-linecap: butt}</style>\n",
" </defs>\n",
" <g id=\"figure_1\">\n",
" <g id=\"patch_1\">\n",
" <path d=\"M 0 170.89675 L 371.265625 170.89675 L 371.265625 0 L 0 0 z \" style=\"fill: #f4a460\"/>\n",
" </g>\n",
" <g id=\"axes_1\">\n",
" <g id=\"patch_2\">\n",
" <path d=\"M 32.865625 141.20925 L 367.665625 141.20925 L 367.665625 32.48925 L 32.865625 32.48925 z \" style=\"fill: #ffffff\"/>\n",
" </g>\n",
" <g id=\"PolyCollection_1\">\n",
" <defs>\n",
" <path id=\"mbb3cda5442\" d=\"M 32.865625 -29.6875 L 32.865625 -29.6875 L 33.985357 -29.6875 L 35.10509 -29.6875 L 36.224822 -133.230357 L 37.344555 -29.6875 L 38.464287 -29.6875 L 39.58402 -29.6875 L 40.703752 -29.6875 L 41.823485 -29.6875 L 42.943217 -29.6875 L 44.062949 -29.6875 L 45.182682 -29.6875 L 46.302414 -29.6875 L 47.422147 -29.6875 L 48.541879 -29.6875 L 49.661612 -29.6875 L 50.781344 -29.6875 L 51.901077 -29.6875 L 53.020809 -29.6875 L 54.140541 -29.6875 L 55.260274 -29.6875 L 56.380006 -29.6875 L 57.499739 -29.6875 L 58.619471 -29.6875 L 59.739204 -29.6875 L 60.858936 -29.6875 L 61.978668 -29.6875 L 63.098401 -29.6875 L 64.218133 -29.6875 L 65.337866 -29.6875 L 66.457598 -29.6875 L 67.577331 -29.6875 L 68.697063 -29.6875 L 69.816796 -29.6875 L 70.936528 -29.6875 L 72.05626 -29.6875 L 73.175993 -29.6875 L 74.295725 -29.6875 L 75.415458 -29.6875 L 76.53519 -29.6875 L 77.654923 -29.6875 L 78.774655 -29.6875 L 79.894388 -29.6875 L 81.01412 -29.6875 L 82.133852 -29.6875 L 83.253585 -29.6875 L 84.373317 -29.6875 L 85.49305 -29.6875 L 86.612782 -29.6875 L 87.732515 -29.6875 L 88.852247 -29.6875 L 89.97198 -29.6875 L 91.091712 -29.6875 L 92.211444 -29.6875 L 93.331177 -29.6875 L 94.450909 -29.6875 L 95.570642 -29.6875 L 96.690374 -29.6875 L 97.810107 -29.6875 L 98.929839 -29.6875 L 100.049571 -29.6875 L 101.169304 -29.6875 L 102.289036 -29.6875 L 103.408769 -29.6875 L 104.528501 -29.6875 L 105.648234 -29.6875 L 106.767966 -29.6875 L 107.887699 -29.6875 L 109.007431 -29.6875 L 110.127163 -29.6875 L 111.246896 -29.6875 L 112.366628 -29.6875 L 113.486361 -29.6875 L 114.606093 -29.6875 L 115.725826 -29.6875 L 116.845558 -29.6875 L 117.965291 -29.6875 L 119.085023 -29.6875 L 120.204755 -29.6875 L 121.324488 -29.6875 L 122.44422 -29.6875 L 123.563953 -29.6875 L 124.683685 -29.6875 L 125.803418 -29.6875 L 126.92315 -29.6875 L 128.042883 -29.6875 L 129.162615 -29.6875 L 130.282347 -29.6875 L 131.40208 -29.6875 L 132.521812 -29.6875 L 133.641545 -29.6875 L 134.761277 -29.6875 L 135.88101 -29.6875 L 137.000742 -29.6875 L 138.120474 -29.6875 L 139.240207 -29.6875 L 140.359939 -29.6875 L 141.479672 -29.6875 L 142.599404 -29.6875 L 143.719137 -29.6875 L 144.838869 -29.6875 L 145.958602 -29.6875 L 147.078334 -29.6875 L 148.198066 -29.6875 L 149.317799 -29.6875 L 150.437531 -29.6875 L 151.557264 -29.6875 L 152.676996 -29.6875 L 153.796729 -29.6875 L 154.916461 -29.6875 L 156.036194 -29.6875 L 157.155926 -29.6875 L 158.275658 -29.6875 L 159.395391 -29.6875 L 160.515123 -29.6875 L 161.634856 -29.6875 L 162.754588 -29.6875 L 163.874321 -29.6875 L 164.994053 -29.6875 L 166.113786 -29.6875 L 167.233518 -29.6875 L 168.35325 -29.6875 L 169.472983 -29.6875 L 170.592715 -29.6875 L 171.712448 -29.6875 L 172.83218 -29.6875 L 173.951913 -29.6875 L 175.071645 -29.6875 L 176.191378 -29.6875 L 177.31111 -29.6875 L 178.430842 -29.6875 L 179.550575 -29.6875 L 180.670307 -29.6875 L 181.79004 -29.6875 L 182.909772 -29.6875 L 184.029505 -29.6875 L 185.149237 -29.6875 L 186.268969 -29.6875 L 187.388702 -29.6875 L 188.508434 -29.6875 L 189.628167 -29.6875 L 190.747899 -29.6875 L 191.867632 -29.6875 L 192.987364 -29.6875 L 194.107097 -29.6875 L 195.226829 -29.6875 L 196.346561 -29.6875 L 197.466294 -29.6875 L 198.586026 -29.6875 L 199.705759 -29.6875 L 200.825491 -29.6875 L 201.945224 -29.6875 L 203.064956 -29.6875 L 204.184689 -29.6875 L 205.304421 -29.6875 L 206.424153 -29.6875 L 207.543886 -29.6875 L 208.663618 -29.6875 L 209.783351 -29.6875 L 210.903083 -29.6875 L 212.022816 -29.6875 L 213.142548 -29.6875 L 214.262281 -29.6875 L 215.382013 -29.6875 L 216.501745 -29.6875 L 217.621478 -29.6875 L 218.74121 -29.6875 L 219.860943 -29.6875 L 220.980675 -29.6875 L 222.100408 -29.6875 L 223.22014 -29.6875 L 224.339872 -29.6875 L 225.459605 -29.6875 L 226.579337 -29.6875 L 227.69907 -29.6875 L 228.818802 -29.6875 L 229.938535 -29.6875 L 231.058267 -29.6875 L 232.178 -29.6875 L 233.297732 -29.6875 L 234.417464 -29.6875 L 235.537197 -29.6875 L 236.656929 -29.6875 L 237.776662 -29.6875 L 238.896394 -29.6875 L 240.016127 -29.6875 L 241.135859 -29.6875 L 242.255592 -29.6875 L 243.375324 -29.6875 L 244.495056 -29.6875 L 245.614789 -29.6875 L 246.734521 -29.6875 L 247.854254 -29.6875 L 248.973986 -29.6875 L 250.093719 -29.6875 L 251.213451 -29.6875 L 252.333184 -29.6875 L 253.452916 -29.6875 L 254.572648 -29.6875 L 255.692381 -29.6875 L 256.812113 -29.6875 L 257.931846 -29.6875 L 259.051578 -29.6875 L 260.171311 -29.6875 L 261.291043 -29.6875 L 262.410776 -29.6875 L 263.530508 -29.6875 L 264.65024 -29.6875 L 265.769973 -29.6875 L 266.889705 -29.6875 L 268.009438 -29.6875 L 269.12917 -29.6875 L 270.248903 -29.6875 L 271.368635 -29.6875 L 272.488367 -29.6875 L 273.6081 -29.6875 L 274.727832 -29.6875 L 275.847565 -29.6875 L 276.967297 -29.6875 L 278.08703 -29.6875 L 279.206762 -29.6875 L 280.326495 -29.6875 L 281.446227 -29.6875 L 282.565959 -29.6875 L 283.685692 -29.6875 L 284.805424 -29.6875 L 285.925157 -29.6875 L 287.044889 -29.6875 L 288.164622 -29.6875 L 289.284354 -29.6875 L 290.404087 -29.6875 L 291.523819 -29.6875 L 292.643551 -29.6875 L 293.763284 -29.6875 L 294.883016 -29.6875 L 296.002749 -29.6875 L 297.122481 -29.6875 L 298.242214 -29.6875 L 299.361946 -29.6875 L 300.481679 -29.6875 L 301.601411 -29.6875 L 302.721143 -29.6875 L 303.840876 -29.6875 L 304.960608 -29.6875 L 306.080341 -29.6875 L 307.200073 -29.6875 L 308.319806 -29.6875 L 309.439538 -29.6875 L 310.55927 -29.6875 L 311.679003 -29.6875 L 312.798735 -29.6875 L 313.918468 -29.6875 L 315.0382 -29.6875 L 316.157933 -29.6875 L 317.277665 -29.6875 L 318.397398 -29.6875 L 319.51713 -29.6875 L 320.636862 -29.6875 L 321.756595 -29.6875 L 322.876327 -29.6875 L 323.99606 -29.6875 L 325.115792 -29.6875 L 326.235525 -29.6875 L 327.355257 -29.6875 L 328.47499 -29.6875 L 329.594722 -29.6875 L 330.714454 -29.6875 L 331.834187 -29.6875 L 332.953919 -29.6875 L 334.073652 -29.6875 L 335.193384 -29.6875 L 336.313117 -29.6875 L 337.432849 -29.6875 L 338.552582 -29.6875 L 339.672314 -29.6875 L 340.792046 -29.6875 L 341.911779 -29.6875 L 343.031511 -29.6875 L 344.151244 -29.6875 L 345.270976 -29.6875 L 346.390709 -29.6875 L 347.510441 -29.6875 L 348.630173 -29.6875 L 349.749906 -29.6875 L 350.869638 -29.6875 L 351.989371 -29.6875 L 353.109103 -29.6875 L 354.228836 -29.6875 L 355.348568 -29.6875 L 356.468301 -29.6875 L 357.588033 -29.6875 L 358.707765 -29.6875 L 359.827498 -29.6875 L 360.94723 -29.6875 L 362.066963 -29.6875 L 363.186695 -29.6875 L 364.306428 -29.6875 L 365.42616 -29.6875 L 366.545893 -29.6875 L 367.665625 -29.6875 L 367.665625 -29.6875 L 367.665625 -29.6875 L 366.545893 -29.6875 L 365.42616 -29.6875 L 364.306428 -29.6875 L 363.186695 -29.6875 L 362.066963 -29.6875 L 360.94723 -29.6875 L 359.827498 -29.6875 L 358.707765 -29.6875 L 357.588033 -29.6875 L 356.468301 -29.6875 L 355.348568 -29.6875 L 354.228836 -29.6875 L 353.109103 -29.6875 L 351.989371 -29.6875 L 350.869638 -29.6875 L 349.749906 -29.6875 L 348.630173 -29.6875 L 347.510441 -29.6875 L 346.390709 -29.6875 L 345.270976 -29.6875 L 344.151244 -29.6875 L 343.031511 -29.6875 L 341.911779 -29.6875 L 340.792046 -29.6875 L 339.672314 -29.6875 L 338.552582 -29.6875 L 337.432849 -29.6875 L 336.313117 -29.6875 L 335.193384 -29.6875 L 334.073652 -29.6875 L 332.953919 -29.6875 L 331.834187 -29.6875 L 330.714454 -29.6875 L 329.594722 -29.6875 L 328.47499 -29.6875 L 327.355257 -29.6875 L 326.235525 -29.6875 L 325.115792 -29.6875 L 323.99606 -29.6875 L 322.876327 -29.6875 L 321.756595 -29.6875 L 320.636862 -29.6875 L 319.51713 -29.6875 L 318.397398 -29.6875 L 317.277665 -29.6875 L 316.157933 -29.6875 L 315.0382 -29.6875 L 313.918468 -29.6875 L 312.798735 -29.6875 L 311.679003 -29.6875 L 310.55927 -29.6875 L 309.439538 -29.6875 L 308.319806 -29.6875 L 307.200073 -29.6875 L 306.080341 -29.6875 L 304.960608 -29.6875 L 303.840876 -29.6875 L 302.721143 -29.6875 L 301.601411 -29.6875 L 300.481679 -29.6875 L 299.361946 -29.6875 L 298.242214 -29.6875 L 297.122481 -29.6875 L 296.002749 -29.6875 L 294.883016 -29.6875 L 293.763284 -29.6875 L 292.643551 -29.6875 L 291.523819 -29.6875 L 290.404087 -29.6875 L 289.284354 -29.6875 L 288.164622 -29.6875 L 287.044889 -29.6875 L 285.925157 -29.6875 L 284.805424 -29.6875 L 283.685692 -29.6875 L 282.565959 -29.6875 L 281.446227 -29.6875 L 280.326495 -29.6875 L 279.206762 -29.6875 L 278.08703 -29.6875 L 276.967297 -29.6875 L 275.847565 -29.6875 L 274.727832 -29.6875 L 273.6081 -29.6875 L 272.488367 -29.6875 L 271.368635 -29.6875 L 270.248903 -29.6875 L 269.12917 -29.6875 L 268.009438 -29.6875 L 266.889705 -29.6875 L 265.769973 -29.6875 L 264.65024 -29.6875 L 263.530508 -29.6875 L 262.410776 -29.6875 L 261.291043 -29.6875 L 260.171311 -29.6875 L 259.051578 -29.6875 L 257.931846 -29.6875 L 256.812113 -29.6875 L 255.692381 -29.6875 L 254.572648 -29.6875 L 253.452916 -29.6875 L 252.333184 -29.6875 L 251.213451 -29.6875 L 250.093719 -29.6875 L 248.973986 -29.6875 L 247.854254 -29.6875 L 246.734521 -29.6875 L 245.614789 -29.6875 L 244.495056 -29.6875 L 243.375324 -29.6875 L 242.255592 -29.6875 L 241.135859 -29.6875 L 240.016127 -29.6875 L 238.896394 -29.6875 L 237.776662 -29.6875 L 236.656929 -29.6875 L 235.537197 -29.6875 L 234.417464 -29.6875 L 233.297732 -29.6875 L 232.178 -29.6875 L 231.058267 -29.6875 L 229.938535 -29.6875 L 228.818802 -29.6875 L 227.69907 -29.6875 L 226.579337 -29.6875 L 225.459605 -29.6875 L 224.339872 -29.6875 L 223.22014 -29.6875 L 222.100408 -29.6875 L 220.980675 -29.6875 L 219.860943 -29.6875 L 218.74121 -29.6875 L 217.621478 -29.6875 L 216.501745 -29.6875 L 215.382013 -29.6875 L 214.262281 -29.6875 L 213.142548 -29.6875 L 212.022816 -29.6875 L 210.903083 -29.6875 L 209.783351 -29.6875 L 208.663618 -29.6875 L 207.543886 -29.6875 L 206.424153 -29.6875 L 205.304421 -29.6875 L 204.184689 -29.6875 L 203.064956 -29.6875 L 201.945224 -29.6875 L 200.825491 -29.6875 L 199.705759 -29.6875 L 198.586026 -29.6875 L 197.466294 -29.6875 L 196.346561 -29.6875 L 195.226829 -29.6875 L 194.107097 -29.6875 L 192.987364 -29.6875 L 191.867632 -29.6875 L 190.747899 -29.6875 L 189.628167 -29.6875 L 188.508434 -29.6875 L 187.388702 -29.6875 L 186.268969 -29.6875 L 185.149237 -29.6875 L 184.029505 -29.6875 L 182.909772 -29.6875 L 181.79004 -29.6875 L 180.670307 -29.6875 L 179.550575 -29.6875 L 178.430842 -29.6875 L 177.31111 -29.6875 L 176.191378 -29.6875 L 175.071645 -29.6875 L 173.951913 -29.6875 L 172.83218 -29.6875 L 171.712448 -29.6875 L 170.592715 -29.6875 L 169.472983 -29.6875 L 168.35325 -29.6875 L 167.233518 -29.6875 L 166.113786 -29.6875 L 164.994053 -29.6875 L 163.874321 -29.6875 L 162.754588 -29.6875 L 161.634856 -29.6875 L 160.515123 -29.6875 L 159.395391 -29.6875 L 158.275658 -29.6875 L 157.155926 -29.6875 L 156.036194 -29.6875 L 154.916461 -29.6875 L 153.796729 -29.6875 L 152.676996 -29.6875 L 151.557264 -29.6875 L 150.437531 -29.6875 L 149.317799 -29.6875 L 148.198066 -29.6875 L 147.078334 -29.6875 L 145.958602 -29.6875 L 144.838869 -29.6875 L 143.719137 -29.6875 L 142.599404 -29.6875 L 141.479672 -29.6875 L 140.359939 -29.6875 L 139.240207 -29.6875 L 138.120474 -29.6875 L 137.000742 -29.6875 L 135.88101 -29.6875 L 134.761277 -29.6875 L 133.641545 -29.6875 L 132.521812 -29.6875 L 131.40208 -29.6875 L 130.282347 -29.6875 L 129.162615 -29.6875 L 128.042883 -29.6875 L 126.92315 -29.6875 L 125.803418 -29.6875 L 124.683685 -29.6875 L 123.563953 -29.6875 L 122.44422 -29.6875 L 121.324488 -29.6875 L 120.204755 -29.6875 L 119.085023 -29.6875 L 117.965291 -29.6875 L 116.845558 -29.6875 L 115.725826 -29.6875 L 114.606093 -29.6875 L 113.486361 -29.6875 L 112.366628 -29.6875 L 111.246896 -29.6875 L 110.127163 -29.6875 L 109.007431 -29.6875 L 107.887699 -29.6875 L 106.767966 -29.6875 L 105.648234 -29.6875 L 104.528501 -29.6875 L 103.408769 -29.6875 L 102.289036 -29.6875 L 101.169304 -29.6875 L 100.049571 -29.6875 L 98.929839 -29.6875 L 97.810107 -29.6875 L 96.690374 -29.6875 L 95.570642 -29.6875 L 94.450909 -29.6875 L 93.331177 -29.6875 L 92.211444 -29.6875 L 91.091712 -29.6875 L 89.97198 -29.6875 L 88.852247 -29.6875 L 87.732515 -29.6875 L 86.612782 -29.6875 L 85.49305 -29.6875 L 84.373317 -29.6875 L 83.253585 -29.6875 L 82.133852 -29.6875 L 81.01412 -29.6875 L 79.894388 -29.6875 L 78.774655 -29.6875 L 77.654923 -29.6875 L 76.53519 -29.6875 L 75.415458 -29.6875 L 74.295725 -29.6875 L 73.175993 -29.6875 L 72.05626 -29.6875 L 70.936528 -29.6875 L 69.816796 -29.6875 L 68.697063 -29.6875 L 67.577331 -29.6875 L 66.457598 -29.6875 L 65.337866 -29.6875 L 64.218133 -29.6875 L 63.098401 -29.6875 L 61.978668 -29.6875 L 60.858936 -29.6875 L 59.739204 -29.6875 L 58.619471 -29.6875 L 57.499739 -29.6875 L 56.380006 -29.6875 L 55.260274 -29.6875 L 54.140541 -29.6875 L 53.020809 -29.6875 L 51.901077 -29.6875 L 50.781344 -29.6875 L 49.661612 -29.6875 L 48.541879 -29.6875 L 47.422147 -29.6875 L 46.302414 -29.6875 L 45.182682 -29.6875 L 44.062949 -29.6875 L 42.943217 -29.6875 L 41.823485 -29.6875 L 40.703752 -29.6875 L 39.58402 -29.6875 L 38.464287 -29.6875 L 37.344555 -29.6875 L 36.224822 -29.6875 L 35.10509 -29.6875 L 33.985357 -29.6875 L 32.865625 -29.6875 z \" style=\"stroke: #8fbc8f\"/>\n",
" </defs>\n",
" <g clip-path=\"url(#pa1d7cc7259)\">\n",
" <use xlink:href=\"#mbb3cda5442\" x=\"0\" y=\"170.89675\" style=\"fill: #8fbc8f; stroke: #8fbc8f\"/>\n",
" </g>\n",
" </g>\n",
" <g id=\"matplotlib.axis_1\">\n",
" <g id=\"xtick_1\">\n",
" <g id=\"line2d_1\">\n",
" <path d=\"M 32.865625 141.20925 L 32.865625 32.48925 \" clip-path=\"url(#pa1d7cc7259)\" style=\"fill: none; stroke: #b0b0b0; stroke-width: 0.8; stroke-linecap: square\"/>\n",
" </g>\n",
" <g id=\"line2d_2\">\n",
" <defs>\n",
" <path id=\"m022e83326e\" d=\"M 0 0 L 0 3.5 \" style=\"stroke: #000000; stroke-width: 0.8\"/>\n",
" </defs>\n",
" <g>\n",
" <use xlink:href=\"#m022e83326e\" x=\"32.865625\" y=\"141.20925\" style=\"stroke: #000000; stroke-width: 0.8\"/>\n",
" </g>\n",
" </g>\n",
" <g id=\"text_1\">\n",
" <!-- 0 -->\n",
" <g transform=\"translate(35.625 154.57175)rotate(-90)scale(0.1 -0.1)\">\n",
" <defs>\n",
" <path id=\"DejaVuSans-30\" d=\"M 2034 4250 Q 1547 4250 1301 3770 Q 1056 3291 1056 2328 Q 1056 1369 1301 889 Q 1547 409 2034 409 Q 2525 409 2770 889 Q 3016 1369 3016 2328 Q 3016 3291 2770 3770 Q 2525 4250 2034 4250 z M 2034 4750 Q 2819 4750 3233 4129 Q 3647 3509 3647 2328 Q 3647 1150 3233 529 Q 2819 -91 2034 -91 Q 1250 -91 836 529 Q 422 1150 422 2328 Q 422 3509 836 4129 Q 1250 4750 2034 4750 z \" transform=\"scale(0.015625)\"/>\n",
" </defs>\n",
" <use xlink:href=\"#DejaVuSans-30\"/>\n",
" </g>\n",
" </g>\n",
" </g>\n",
" <g id=\"xtick_2\">\n",
" <g id=\"line2d_3\">\n",
" <path d=\"M 55.260274 141.20925 L 55.260274 32.48925 \" clip-path=\"url(#pa1d7cc7259)\" style=\"fill: none; stroke: #b0b0b0; stroke-width: 0.8; stroke-linecap: square\"/>\n",
" </g>\n",
" <g id=\"line2d_4\">\n",
" <g>\n",
" <use xlink:href=\"#m022e83326e\" x=\"55.260274\" y=\"141.20925\" style=\"stroke: #000000; stroke-width: 0.8\"/>\n",
" </g>\n",
" </g>\n",
" <g id=\"text_2\">\n",
" <!-- 20 -->\n",
" <g transform=\"translate(58.019649 160.93425)rotate(-90)scale(0.1 -0.1)\">\n",
" <defs>\n",
" <path id=\"DejaVuSans-32\" d=\"M 1228 531 L 3431 531 L 3431 0 L 469 0 L 469 531 Q 828 903 1448 1529 Q 2069 2156 2228 2338 Q 2531 2678 2651 2914 Q 2772 3150 2772 3378 Q 2772 3750 2511 3984 Q 2250 4219 1831 4219 Q 1534 4219 1204 4116 Q 875 4013 500 3803 L 500 4441 Q 881 4594 1212 4672 Q 1544 4750 1819 4750 Q 2544 4750 2975 4387 Q 3406 4025 3406 3419 Q 3406 3131 3298 2873 Q 3191 2616 2906 2266 Q 2828 2175 2409 1742 Q 1991 1309 1228 531 z \" transform=\"scale(0.015625)\"/>\n",
" </defs>\n",
" <use xlink:href=\"#DejaVuSans-32\"/>\n",
" <use xlink:href=\"#DejaVuSans-30\" x=\"63.623047\"/>\n",
" </g>\n",
" </g>\n",
" </g>\n",
" <g id=\"xtick_3\">\n",
" <g id=\"line2d_5\">\n",
" <path d=\"M 77.654923 141.20925 L 77.654923 32.48925 \" clip-path=\"url(#pa1d7cc7259)\" style=\"fill: none; stroke: #b0b0b0; stroke-width: 0.8; stroke-linecap: square\"/>\n",
" </g>\n",
" <g id=\"line2d_6\">\n",
" <g>\n",
" <use xlink:href=\"#m022e83326e\" x=\"77.654923\" y=\"141.20925\" style=\"stroke: #000000; stroke-width: 0.8\"/>\n",
" </g>\n",
" </g>\n",
" <g id=\"text_3\">\n",
" <!-- 40 -->\n",
" <g transform=\"translate(80.414298 160.93425)rotate(-90)scale(0.1 -0.1)\">\n",
" <defs>\n",
" <path id=\"DejaVuSans-34\" d=\"M 2419 4116 L 825 1625 L 2419 1625 L 2419 4116 z M 2253 4666 L 3047 4666 L 3047 1625 L 3713 1625 L 3713 1100 L 3047 1100 L 3047 0 L 2419 0 L 2419 1100 L 313 1100 L 313 1709 L 2253 4666 z \" transform=\"scale(0.015625)\"/>\n",
" </defs>\n",
" <use xlink:href=\"#DejaVuSans-34\"/>\n",
" <use xlink:href=\"#DejaVuSans-30\" x=\"63.623047\"/>\n",
" </g>\n",
" </g>\n",
" </g>\n",
" <g id=\"xtick_4\">\n",
" <g id=\"line2d_7\">\n",
" <path d=\"M 100.049571 141.20925 L 100.049571 32.48925 \" clip-path=\"url(#pa1d7cc7259)\" style=\"fill: none; stroke: #b0b0b0; stroke-width: 0.8; stroke-linecap: square\"/>\n",
" </g>\n",
" <g id=\"line2d_8\">\n",
" <g>\n",
" <use xlink:href=\"#m022e83326e\" x=\"100.049571\" y=\"141.20925\" style=\"stroke: #000000; stroke-width: 0.8\"/>\n",
" </g>\n",
" </g>\n",
" <g id=\"text_4\">\n",
" <!-- 60 -->\n",
" <g transform=\"translate(102.808946 160.93425)rotate(-90)scale(0.1 -0.1)\">\n",
" <defs>\n",
" <path id=\"DejaVuSans-36\" d=\"M 2113 2584 Q 1688 2584 1439 2293 Q 1191 2003 1191 1497 Q 1191 994 1439 701 Q 1688 409 2113 409 Q 2538 409 2786 701 Q 3034 994 3034 1497 Q 3034 2003 2786 2293 Q 2538 2584 2113 2584 z M 3366 4563 L 3366 3988 Q 3128 4100 2886 4159 Q 2644 4219 2406 4219 Q 1781 4219 1451 3797 Q 1122 3375 1075 2522 Q 1259 2794 1537 2939 Q 1816 3084 2150 3084 Q 2853 3084 3261 2657 Q 3669 2231 3669 1497 Q 3669 778 3244 343 Q 2819 -91 2113 -91 Q 1303 -91 875 529 Q 447 1150 447 2328 Q 447 3434 972 4092 Q 1497 4750 2381 4750 Q 2619 4750 2861 4703 Q 3103 4656 3366 4563 z \" transform=\"scale(0.015625)\"/>\n",
" </defs>\n",
" <use xlink:href=\"#DejaVuSans-36\"/>\n",
" <use xlink:href=\"#DejaVuSans-30\" x=\"63.623047\"/>\n",
" </g>\n",
" </g>\n",
" </g>\n",
" <g id=\"xtick_5\">\n",
" <g id=\"line2d_9\">\n",
" <path d=\"M 122.44422 141.20925 L 122.44422 32.48925 \" clip-path=\"url(#pa1d7cc7259)\" style=\"fill: none; stroke: #b0b0b0; stroke-width: 0.8; stroke-linecap: square\"/>\n",
" </g>\n",
" <g id=\"line2d_10\">\n",
" <g>\n",
" <use xlink:href=\"#m022e83326e\" x=\"122.44422\" y=\"141.20925\" style=\"stroke: #000000; stroke-width: 0.8\"/>\n",
" </g>\n",
" </g>\n",
" <g id=\"text_5\">\n",
" <!-- 80 -->\n",
" <g transform=\"translate(125.203595 160.93425)rotate(-90)scale(0.1 -0.1)\">\n",
" <defs>\n",
" <path id=\"DejaVuSans-38\" d=\"M 2034 2216 Q 1584 2216 1326 1975 Q 1069 1734 1069 1313 Q 1069 891 1326 650 Q 1584 409 2034 409 Q 2484 409 2743 651 Q 3003 894 3003 1313 Q 3003 1734 2745 1975 Q 2488 2216 2034 2216 z M 1403 2484 Q 997 2584 770 2862 Q 544 3141 544 3541 Q 544 4100 942 4425 Q 1341 4750 2034 4750 Q 2731 4750 3128 4425 Q 3525 4100 3525 3541 Q 3525 3141 3298 2862 Q 3072 2584 2669 2484 Q 3125 2378 3379 2068 Q 3634 1759 3634 1313 Q 3634 634 3220 271 Q 2806 -91 2034 -91 Q 1263 -91 848 271 Q 434 634 434 1313 Q 434 1759 690 2068 Q 947 2378 1403 2484 z M 1172 3481 Q 1172 3119 1398 2916 Q 1625 2713 2034 2713 Q 2441 2713 2670 2916 Q 2900 3119 2900 3481 Q 2900 3844 2670 4047 Q 2441 4250 2034 4250 Q 1625 4250 1398 4047 Q 1172 3844 1172 3481 z \" transform=\"scale(0.015625)\"/>\n",
" </defs>\n",
" <use xlink:href=\"#DejaVuSans-38\"/>\n",
" <use xlink:href=\"#DejaVuSans-30\" x=\"63.623047\"/>\n",
" </g>\n",
" </g>\n",
" </g>\n",
" <g id=\"xtick_6\">\n",
" <g id=\"line2d_11\">\n",
" <path d=\"M 144.838869 141.20925 L 144.838869 32.48925 \" clip-path=\"url(#pa1d7cc7259)\" style=\"fill: none; stroke: #b0b0b0; stroke-width: 0.8; stroke-linecap: square\"/>\n",
" </g>\n",
" <g id=\"line2d_12\">\n",
" <g>\n",
" <use xlink:href=\"#m022e83326e\" x=\"144.838869\" y=\"141.20925\" style=\"stroke: #000000; stroke-width: 0.8\"/>\n",
" </g>\n",
" </g>\n",
" <g id=\"text_6\">\n",
" <!-- 100 -->\n",
" <g transform=\"translate(147.598244 167.29675)rotate(-90)scale(0.1 -0.1)\">\n",
" <defs>\n",
" <path id=\"DejaVuSans-31\" d=\"M 794 531 L 1825 531 L 1825 4091 L 703 3866 L 703 4441 L 1819 4666 L 2450 4666 L 2450 531 L 3481 531 L 3481 0 L 794 0 L 794 531 z \" transform=\"scale(0.015625)\"/>\n",
" </defs>\n",
" <use xlink:href=\"#DejaVuSans-31\"/>\n",
" <use xlink:href=\"#DejaVuSans-30\" x=\"63.623047\"/>\n",
" <use xlink:href=\"#DejaVuSans-30\" x=\"127.246094\"/>\n",
" </g>\n",
" </g>\n",
" </g>\n",
" <g id=\"xtick_7\">\n",
" <g id=\"line2d_13\">\n",
" <path d=\"M 167.233518 141.20925 L 167.233518 32.48925 \" clip-path=\"url(#pa1d7cc7259)\" style=\"fill: none; stroke: #b0b0b0; stroke-width: 0.8; stroke-linecap: square\"/>\n",
" </g>\n",
" <g id=\"line2d_14\">\n",
" <g>\n",
" <use xlink:href=\"#m022e83326e\" x=\"167.233518\" y=\"141.20925\" style=\"stroke: #000000; stroke-width: 0.8\"/>\n",
" </g>\n",
" </g>\n",
" <g id=\"text_7\">\n",
" <!-- 120 -->\n",
" <g transform=\"translate(169.992893 167.29675)rotate(-90)scale(0.1 -0.1)\">\n",
" <use xlink:href=\"#DejaVuSans-31\"/>\n",
" <use xlink:href=\"#DejaVuSans-32\" x=\"63.623047\"/>\n",
" <use xlink:href=\"#DejaVuSans-30\" x=\"127.246094\"/>\n",
" </g>\n",
" </g>\n",
" </g>\n",
" <g id=\"xtick_8\">\n",
" <g id=\"line2d_15\">\n",
" <path d=\"M 189.628167 141.20925 L 189.628167 32.48925 \" clip-path=\"url(#pa1d7cc7259)\" style=\"fill: none; stroke: #b0b0b0; stroke-width: 0.8; stroke-linecap: square\"/>\n",
" </g>\n",
" <g id=\"line2d_16\">\n",
" <g>\n",
" <use xlink:href=\"#m022e83326e\" x=\"189.628167\" y=\"141.20925\" style=\"stroke: #000000; stroke-width: 0.8\"/>\n",
" </g>\n",
" </g>\n",
" <g id=\"text_8\">\n",
" <!-- 140 -->\n",
" <g transform=\"translate(192.387542 167.29675)rotate(-90)scale(0.1 -0.1)\">\n",
" <use xlink:href=\"#DejaVuSans-31\"/>\n",
" <use xlink:href=\"#DejaVuSans-34\" x=\"63.623047\"/>\n",
" <use xlink:href=\"#DejaVuSans-30\" x=\"127.246094\"/>\n",
" </g>\n",
" </g>\n",
" </g>\n",
" <g id=\"xtick_9\">\n",
" <g id=\"line2d_17\">\n",
" <path d=\"M 212.022816 141.20925 L 212.022816 32.48925 \" clip-path=\"url(#pa1d7cc7259)\" style=\"fill: none; stroke: #b0b0b0; stroke-width: 0.8; stroke-linecap: square\"/>\n",
" </g>\n",
" <g id=\"line2d_18\">\n",
" <g>\n",
" <use xlink:href=\"#m022e83326e\" x=\"212.022816\" y=\"141.20925\" style=\"stroke: #000000; stroke-width: 0.8\"/>\n",
" </g>\n",
" </g>\n",
" <g id=\"text_9\">\n",
" <!-- 160 -->\n",
" <g transform=\"translate(214.782191 167.29675)rotate(-90)scale(0.1 -0.1)\">\n",
" <use xlink:href=\"#DejaVuSans-31\"/>\n",
" <use xlink:href=\"#DejaVuSans-36\" x=\"63.623047\"/>\n",
" <use xlink:href=\"#DejaVuSans-30\" x=\"127.246094\"/>\n",
" </g>\n",
" </g>\n",
" </g>\n",
" <g id=\"xtick_10\">\n",
" <g id=\"line2d_19\">\n",
" <path d=\"M 234.417464 141.20925 L 234.417464 32.48925 \" clip-path=\"url(#pa1d7cc7259)\" style=\"fill: none; stroke: #b0b0b0; stroke-width: 0.8; stroke-linecap: square\"/>\n",
" </g>\n",
" <g id=\"line2d_20\">\n",
" <g>\n",
" <use xlink:href=\"#m022e83326e\" x=\"234.417464\" y=\"141.20925\" style=\"stroke: #000000; stroke-width: 0.8\"/>\n",
" </g>\n",
" </g>\n",
" <g id=\"text_10\">\n",
" <!-- 180 -->\n",
" <g transform=\"translate(237.176839 167.29675)rotate(-90)scale(0.1 -0.1)\">\n",
" <use xlink:href=\"#DejaVuSans-31\"/>\n",
" <use xlink:href=\"#DejaVuSans-38\" x=\"63.623047\"/>\n",
" <use xlink:href=\"#DejaVuSans-30\" x=\"127.246094\"/>\n",
" </g>\n",
" </g>\n",
" </g>\n",
" <g id=\"xtick_11\">\n",
" <g id=\"line2d_21\">\n",
" <path d=\"M 256.812113 141.20925 L 256.812113 32.48925 \" clip-path=\"url(#pa1d7cc7259)\" style=\"fill: none; stroke: #b0b0b0; stroke-width: 0.8; stroke-linecap: square\"/>\n",
" </g>\n",
" <g id=\"line2d_22\">\n",
" <g>\n",
" <use xlink:href=\"#m022e83326e\" x=\"256.812113\" y=\"141.20925\" style=\"stroke: #000000; stroke-width: 0.8\"/>\n",
" </g>\n",
" </g>\n",
" <g id=\"text_11\">\n",
" <!-- 200 -->\n",
" <g transform=\"translate(259.571488 167.29675)rotate(-90)scale(0.1 -0.1)\">\n",
" <use xlink:href=\"#DejaVuSans-32\"/>\n",
" <use xlink:href=\"#DejaVuSans-30\" x=\"63.623047\"/>\n",
" <use xlink:href=\"#DejaVuSans-30\" x=\"127.246094\"/>\n",
" </g>\n",
" </g>\n",
" </g>\n",
" <g id=\"xtick_12\">\n",
" <g id=\"line2d_23\">\n",
" <path d=\"M 279.206762 141.20925 L 279.206762 32.48925 \" clip-path=\"url(#pa1d7cc7259)\" style=\"fill: none; stroke: #b0b0b0; stroke-width: 0.8; stroke-linecap: square\"/>\n",
" </g>\n",
" <g id=\"line2d_24\">\n",
" <g>\n",
" <use xlink:href=\"#m022e83326e\" x=\"279.206762\" y=\"141.20925\" style=\"stroke: #000000; stroke-width: 0.8\"/>\n",
" </g>\n",
" </g>\n",
" <g id=\"text_12\">\n",
" <!-- 220 -->\n",
" <g transform=\"translate(281.966137 167.29675)rotate(-90)scale(0.1 -0.1)\">\n",
" <use xlink:href=\"#DejaVuSans-32\"/>\n",
" <use xlink:href=\"#DejaVuSans-32\" x=\"63.623047\"/>\n",
" <use xlink:href=\"#DejaVuSans-30\" x=\"127.246094\"/>\n",
" </g>\n",
" </g>\n",
" </g>\n",
" <g id=\"xtick_13\">\n",
" <g id=\"line2d_25\">\n",
" <path d=\"M 301.601411 141.20925 L 301.601411 32.48925 \" clip-path=\"url(#pa1d7cc7259)\" style=\"fill: none; stroke: #b0b0b0; stroke-width: 0.8; stroke-linecap: square\"/>\n",
" </g>\n",
" <g id=\"line2d_26\">\n",
" <g>\n",
" <use xlink:href=\"#m022e83326e\" x=\"301.601411\" y=\"141.20925\" style=\"stroke: #000000; stroke-width: 0.8\"/>\n",
" </g>\n",
" </g>\n",
" <g id=\"text_13\">\n",
" <!-- 240 -->\n",
" <g transform=\"translate(304.360786 167.29675)rotate(-90)scale(0.1 -0.1)\">\n",
" <use xlink:href=\"#DejaVuSans-32\"/>\n",
" <use xlink:href=\"#DejaVuSans-34\" x=\"63.623047\"/>\n",
" <use xlink:href=\"#DejaVuSans-30\" x=\"127.246094\"/>\n",
" </g>\n",
" </g>\n",
" </g>\n",
" <g id=\"xtick_14\">\n",
" <g id=\"line2d_27\">\n",
" <path d=\"M 323.99606 141.20925 L 323.99606 32.48925 \" clip-path=\"url(#pa1d7cc7259)\" style=\"fill: none; stroke: #b0b0b0; stroke-width: 0.8; stroke-linecap: square\"/>\n",
" </g>\n",
" <g id=\"line2d_28\">\n",
" <g>\n",
" <use xlink:href=\"#m022e83326e\" x=\"323.99606\" y=\"141.20925\" style=\"stroke: #000000; stroke-width: 0.8\"/>\n",
" </g>\n",
" </g>\n",
" <g id=\"text_14\">\n",
" <!-- 260 -->\n",
" <g transform=\"translate(326.755435 167.29675)rotate(-90)scale(0.1 -0.1)\">\n",
" <use xlink:href=\"#DejaVuSans-32\"/>\n",
" <use xlink:href=\"#DejaVuSans-36\" x=\"63.623047\"/>\n",
" <use xlink:href=\"#DejaVuSans-30\" x=\"127.246094\"/>\n",
" </g>\n",
" </g>\n",
" </g>\n",
" <g id=\"xtick_15\">\n",
" <g id=\"line2d_29\">\n",
" <path d=\"M 346.390709 141.20925 L 346.390709 32.48925 \" clip-path=\"url(#pa1d7cc7259)\" style=\"fill: none; stroke: #b0b0b0; stroke-width: 0.8; stroke-linecap: square\"/>\n",
" </g>\n",
" <g id=\"line2d_30\">\n",
" <g>\n",
" <use xlink:href=\"#m022e83326e\" x=\"346.390709\" y=\"141.20925\" style=\"stroke: #000000; stroke-width: 0.8\"/>\n",
" </g>\n",
" </g>\n",
" <g id=\"text_15\">\n",
" <!-- 280 -->\n",
" <g transform=\"translate(349.150084 167.29675)rotate(-90)scale(0.1 -0.1)\">\n",
" <use xlink:href=\"#DejaVuSans-32\"/>\n",
" <use xlink:href=\"#DejaVuSans-38\" x=\"63.623047\"/>\n",
" <use xlink:href=\"#DejaVuSans-30\" x=\"127.246094\"/>\n",
" </g>\n",
" </g>\n",
" </g>\n",
" </g>\n",
" <g id=\"matplotlib.axis_2\">\n",
" <g id=\"ytick_1\">\n",
" <g id=\"line2d_31\">\n",
" <path d=\"M 32.865625 141.20925 L 367.665625 141.20925 \" clip-path=\"url(#pa1d7cc7259)\" style=\"fill: none; stroke: #b0b0b0; stroke-width: 0.8; stroke-linecap: square\"/>\n",
" </g>\n",
" <g id=\"line2d_32\">\n",
" <defs>\n",
" <path id=\"ma27e623176\" d=\"M 0 0 L -3.5 0 \" style=\"stroke: #000000; stroke-width: 0.8\"/>\n",
" </defs>\n",
" <g>\n",
" <use xlink:href=\"#ma27e623176\" x=\"32.865625\" y=\"141.20925\" style=\"stroke: #000000; stroke-width: 0.8\"/>\n",
" </g>\n",
" </g>\n",
" <g id=\"text_16\">\n",
" <!-- 0.00 -->\n",
" <g transform=\"translate(3.6 145.008469)scale(0.1 -0.1)\">\n",
" <defs>\n",
" <path id=\"DejaVuSans-2e\" d=\"M 684 794 L 1344 794 L 1344 0 L 684 0 L 684 794 z \" transform=\"scale(0.015625)\"/>\n",
" </defs>\n",
" <use xlink:href=\"#DejaVuSans-30\"/>\n",
" <use xlink:href=\"#DejaVuSans-2e\" x=\"63.623047\"/>\n",
" <use xlink:href=\"#DejaVuSans-30\" x=\"95.410156\"/>\n",
" <use xlink:href=\"#DejaVuSans-30\" x=\"159.033203\"/>\n",
" </g>\n",
" </g>\n",
" </g>\n",
" <g id=\"ytick_2\">\n",
" <g id=\"line2d_33\">\n",
" <path d=\"M 32.865625 115.323536 L 367.665625 115.323536 \" clip-path=\"url(#pa1d7cc7259)\" style=\"fill: none; stroke: #b0b0b0; stroke-width: 0.8; stroke-linecap: square\"/>\n",
" </g>\n",
" <g id=\"line2d_34\">\n",
" <g>\n",
" <use xlink:href=\"#ma27e623176\" x=\"32.865625\" y=\"115.323536\" style=\"stroke: #000000; stroke-width: 0.8\"/>\n",
" </g>\n",
" </g>\n",
" <g id=\"text_17\">\n",
" <!-- 0.25 -->\n",
" <g transform=\"translate(3.6 119.122754)scale(0.1 -0.1)\">\n",
" <defs>\n",
" <path id=\"DejaVuSans-35\" d=\"M 691 4666 L 3169 4666 L 3169 4134 L 1269 4134 L 1269 2991 Q 1406 3038 1543 3061 Q 1681 3084 1819 3084 Q 2600 3084 3056 2656 Q 3513 2228 3513 1497 Q 3513 744 3044 326 Q 2575 -91 1722 -91 Q 1428 -91 1123 -41 Q 819 9 494 109 L 494 744 Q 775 591 1075 516 Q 1375 441 1709 441 Q 2250 441 2565 725 Q 2881 1009 2881 1497 Q 2881 1984 2565 2268 Q 2250 2553 1709 2553 Q 1456 2553 1204 2497 Q 953 2441 691 2322 L 691 4666 z \" transform=\"scale(0.015625)\"/>\n",
" </defs>\n",
" <use xlink:href=\"#DejaVuSans-30\"/>\n",
" <use xlink:href=\"#DejaVuSans-2e\" x=\"63.623047\"/>\n",
" <use xlink:href=\"#DejaVuSans-32\" x=\"95.410156\"/>\n",
" <use xlink:href=\"#DejaVuSans-35\" x=\"159.033203\"/>\n",
" </g>\n",
" </g>\n",
" </g>\n",
" <g id=\"ytick_3\">\n",
" <g id=\"line2d_35\">\n",
" <path d=\"M 32.865625 89.437821 L 367.665625 89.437821 \" clip-path=\"url(#pa1d7cc7259)\" style=\"fill: none; stroke: #b0b0b0; stroke-width: 0.8; stroke-linecap: square\"/>\n",
" </g>\n",
" <g id=\"line2d_36\">\n",
" <g>\n",
" <use xlink:href=\"#ma27e623176\" x=\"32.865625\" y=\"89.437821\" style=\"stroke: #000000; stroke-width: 0.8\"/>\n",
" </g>\n",
" </g>\n",
" <g id=\"text_18\">\n",
" <!-- 0.50 -->\n",
" <g transform=\"translate(3.6 93.23704)scale(0.1 -0.1)\">\n",
" <use xlink:href=\"#DejaVuSans-30\"/>\n",
" <use xlink:href=\"#DejaVuSans-2e\" x=\"63.623047\"/>\n",
" <use xlink:href=\"#DejaVuSans-35\" x=\"95.410156\"/>\n",
" <use xlink:href=\"#DejaVuSans-30\" x=\"159.033203\"/>\n",
" </g>\n",
" </g>\n",
" </g>\n",
" <g id=\"ytick_4\">\n",
" <g id=\"line2d_37\">\n",
" <path d=\"M 32.865625 63.552107 L 367.665625 63.552107 \" clip-path=\"url(#pa1d7cc7259)\" style=\"fill: none; stroke: #b0b0b0; stroke-width: 0.8; stroke-linecap: square\"/>\n",
" </g>\n",
" <g id=\"line2d_38\">\n",
" <g>\n",
" <use xlink:href=\"#ma27e623176\" x=\"32.865625\" y=\"63.552107\" style=\"stroke: #000000; stroke-width: 0.8\"/>\n",
" </g>\n",
" </g>\n",
" <g id=\"text_19\">\n",
" <!-- 0.75 -->\n",
" <g transform=\"translate(3.6 67.351326)scale(0.1 -0.1)\">\n",
" <defs>\n",
" <path id=\"DejaVuSans-37\" d=\"M 525 4666 L 3525 4666 L 3525 4397 L 1831 0 L 1172 0 L 2766 4134 L 525 4134 L 525 4666 z \" transform=\"scale(0.015625)\"/>\n",
" </defs>\n",
" <use xlink:href=\"#DejaVuSans-30\"/>\n",
" <use xlink:href=\"#DejaVuSans-2e\" x=\"63.623047\"/>\n",
" <use xlink:href=\"#DejaVuSans-37\" x=\"95.410156\"/>\n",
" <use xlink:href=\"#DejaVuSans-35\" x=\"159.033203\"/>\n",
" </g>\n",
" </g>\n",
" </g>\n",
" <g id=\"ytick_5\">\n",
" <g id=\"line2d_39\">\n",
" <path d=\"M 32.865625 37.666393 L 367.665625 37.666393 \" clip-path=\"url(#pa1d7cc7259)\" style=\"fill: none; stroke: #b0b0b0; stroke-width: 0.8; stroke-linecap: square\"/>\n",
" </g>\n",
" <g id=\"line2d_40\">\n",
" <g>\n",
" <use xlink:href=\"#ma27e623176\" x=\"32.865625\" y=\"37.666393\" style=\"stroke: #000000; stroke-width: 0.8\"/>\n",
" </g>\n",
" </g>\n",
" <g id=\"text_20\">\n",
" <!-- 1.00 -->\n",
" <g transform=\"translate(3.6 41.465612)scale(0.1 -0.1)\">\n",
" <use xlink:href=\"#DejaVuSans-31\"/>\n",
" <use xlink:href=\"#DejaVuSans-2e\" x=\"63.623047\"/>\n",
" <use xlink:href=\"#DejaVuSans-30\" x=\"95.410156\"/>\n",
" <use xlink:href=\"#DejaVuSans-30\" x=\"159.033203\"/>\n",
" </g>\n",
" </g>\n",
" </g>\n",
" </g>\n",
" <g id=\"patch_3\">\n",
" <path d=\"M 32.865625 141.20925 L 32.865625 32.48925 \" style=\"fill: none; stroke: #000000; stroke-width: 0.8; stroke-linejoin: miter; stroke-linecap: square\"/>\n",
" </g>\n",
" <g id=\"patch_4\">\n",
" <path d=\"M 367.665625 141.20925 L 367.665625 32.48925 \" style=\"fill: none; stroke: #000000; stroke-width: 0.8; stroke-linejoin: miter; stroke-linecap: square\"/>\n",
" </g>\n",
" <g id=\"patch_5\">\n",
" <path d=\"M 32.865625 141.20925 L 367.665625 141.20925 \" style=\"fill: none; stroke: #000000; stroke-width: 0.8; stroke-linejoin: miter; stroke-linecap: square\"/>\n",
" </g>\n",
" <g id=\"patch_6\">\n",
" <path d=\"M 32.865625 32.48925 L 367.665625 32.48925 \" style=\"fill: none; stroke: #000000; stroke-width: 0.8; stroke-linejoin: miter; stroke-linecap: square\"/>\n",
" </g>\n",
" <g id=\"text_21\">\n",
" <!-- theta_fnr -->\n",
" <g transform=\"translate(173.00875 12.718125)scale(0.12 -0.12)\">\n",
" <defs>\n",
" <path id=\"DejaVuSans-74\" d=\"M 1172 4494 L 1172 3500 L 2356 3500 L 2356 3053 L 1172 3053 L 1172 1153 Q 1172 725 1289 603 Q 1406 481 1766 481 L 2356 481 L 2356 0 L 1766 0 Q 1100 0 847 248 Q 594 497 594 1153 L 594 3053 L 172 3053 L 172 3500 L 594 3500 L 594 4494 L 1172 4494 z \" transform=\"scale(0.015625)\"/>\n",
" <path id=\"DejaVuSans-68\" d=\"M 3513 2113 L 3513 0 L 2938 0 L 2938 2094 Q 2938 2591 2744 2837 Q 2550 3084 2163 3084 Q 1697 3084 1428 2787 Q 1159 2491 1159 1978 L 1159 0 L 581 0 L 581 4863 L 1159 4863 L 1159 2956 Q 1366 3272 1645 3428 Q 1925 3584 2291 3584 Q 2894 3584 3203 3211 Q 3513 2838 3513 2113 z \" transform=\"scale(0.015625)\"/>\n",
" <path id=\"DejaVuSans-65\" d=\"M 3597 1894 L 3597 1613 L 953 1613 Q 991 1019 1311 708 Q 1631 397 2203 397 Q 2534 397 2845 478 Q 3156 559 3463 722 L 3463 178 Q 3153 47 2828 -22 Q 2503 -91 2169 -91 Q 1331 -91 842 396 Q 353 884 353 1716 Q 353 2575 817 3079 Q 1281 3584 2069 3584 Q 2775 3584 3186 3129 Q 3597 2675 3597 1894 z M 3022 2063 Q 3016 2534 2758 2815 Q 2500 3097 2075 3097 Q 1594 3097 1305 2825 Q 1016 2553 972 2059 L 3022 2063 z \" transform=\"scale(0.015625)\"/>\n",
" <path id=\"DejaVuSans-61\" d=\"M 2194 1759 Q 1497 1759 1228 1600 Q 959 1441 959 1056 Q 959 750 1161 570 Q 1363 391 1709 391 Q 2188 391 2477 730 Q 2766 1069 2766 1631 L 2766 1759 L 2194 1759 z M 3341 1997 L 3341 0 L 2766 0 L 2766 531 Q 2569 213 2275 61 Q 1981 -91 1556 -91 Q 1019 -91 701 211 Q 384 513 384 1019 Q 384 1609 779 1909 Q 1175 2209 1959 2209 L 2766 2209 L 2766 2266 Q 2766 2663 2505 2880 Q 2244 3097 1772 3097 Q 1472 3097 1187 3025 Q 903 2953 641 2809 L 641 3341 Q 956 3463 1253 3523 Q 1550 3584 1831 3584 Q 2591 3584 2966 3190 Q 3341 2797 3341 1997 z \" transform=\"scale(0.015625)\"/>\n",
" <path id=\"DejaVuSans-5f\" d=\"M 3263 -1063 L 3263 -1509 L -63 -1509 L -63 -1063 L 3263 -1063 z \" transform=\"scale(0.015625)\"/>\n",
" <path id=\"DejaVuSans-66\" d=\"M 2375 4863 L 2375 4384 L 1825 4384 Q 1516 4384 1395 4259 Q 1275 4134 1275 3809 L 1275 3500 L 2222 3500 L 2222 3053 L 1275 3053 L 1275 0 L 697 0 L 697 3053 L 147 3053 L 147 3500 L 697 3500 L 697 3744 Q 697 4328 969 4595 Q 1241 4863 1831 4863 L 2375 4863 z \" transform=\"scale(0.015625)\"/>\n",
" <path id=\"DejaVuSans-6e\" d=\"M 3513 2113 L 3513 0 L 2938 0 L 2938 2094 Q 2938 2591 2744 2837 Q 2550 3084 2163 3084 Q 1697 3084 1428 2787 Q 1159 2491 1159 1978 L 1159 0 L 581 0 L 581 3500 L 1159 3500 L 1159 2956 Q 1366 3272 1645 3428 Q 1925 3584 2291 3584 Q 2894 3584 3203 3211 Q 3513 2838 3513 2113 z \" transform=\"scale(0.015625)\"/>\n",
" <path id=\"DejaVuSans-72\" d=\"M 2631 2963 Q 2534 3019 2420 3045 Q 2306 3072 2169 3072 Q 1681 3072 1420 2755 Q 1159 2438 1159 1844 L 1159 0 L 581 0 L 581 3500 L 1159 3500 L 1159 2956 Q 1341 3275 1631 3429 Q 1922 3584 2338 3584 Q 2397 3584 2469 3576 Q 2541 3569 2628 3553 L 2631 2963 z \" transform=\"scale(0.015625)\"/>\n",
" </defs>\n",
" <use xlink:href=\"#DejaVuSans-74\"/>\n",
" <use xlink:href=\"#DejaVuSans-68\" x=\"39.208984\"/>\n",
" <use xlink:href=\"#DejaVuSans-65\" x=\"102.587891\"/>\n",
" <use xlink:href=\"#DejaVuSans-74\" x=\"164.111328\"/>\n",
" <use xlink:href=\"#DejaVuSans-61\" x=\"203.320312\"/>\n",
" <use xlink:href=\"#DejaVuSans-5f\" x=\"264.599609\"/>\n",
" <use xlink:href=\"#DejaVuSans-66\" x=\"314.599609\"/>\n",
" <use xlink:href=\"#DejaVuSans-6e\" x=\"349.804688\"/>\n",
" <use xlink:href=\"#DejaVuSans-72\" x=\"413.183594\"/>\n",
" </g>\n",
" <!-- $\\mu=3.00$; $\\sigma=0.00$ -->\n",
" <g transform=\"translate(147.225625 26.48925)scale(0.12 -0.12)\">\n",
" <defs>\n",
" <path id=\"DejaVuSans-Oblique-3bc\" d=\"M -84 -1331 L 856 3500 L 1434 3500 L 1009 1322 Q 997 1256 987 1175 Q 978 1094 978 1013 Q 978 722 1161 565 Q 1344 409 1684 409 Q 2147 409 2431 671 Q 2716 934 2816 1459 L 3213 3500 L 3788 3500 L 3266 809 Q 3253 750 3248 706 Q 3244 663 3244 628 Q 3244 531 3283 486 Q 3322 441 3406 441 Q 3438 441 3492 456 Q 3547 472 3647 513 L 3559 50 Q 3422 -19 3297 -55 Q 3172 -91 3053 -91 Q 2847 -91 2730 40 Q 2613 172 2613 403 Q 2438 153 2195 31 Q 1953 -91 1625 -91 Q 1334 -91 1117 43 Q 900 178 831 397 L 494 -1331 L -84 -1331 z \" transform=\"scale(0.015625)\"/>\n",
" <path id=\"DejaVuSans-3d\" d=\"M 678 2906 L 4684 2906 L 4684 2381 L 678 2381 L 678 2906 z M 678 1631 L 4684 1631 L 4684 1100 L 678 1100 L 678 1631 z \" transform=\"scale(0.015625)\"/>\n",
" <path id=\"DejaVuSans-33\" d=\"M 2597 2516 Q 3050 2419 3304 2112 Q 3559 1806 3559 1356 Q 3559 666 3084 287 Q 2609 -91 1734 -91 Q 1441 -91 1130 -33 Q 819 25 488 141 L 488 750 Q 750 597 1062 519 Q 1375 441 1716 441 Q 2309 441 2620 675 Q 2931 909 2931 1356 Q 2931 1769 2642 2001 Q 2353 2234 1838 2234 L 1294 2234 L 1294 2753 L 1863 2753 Q 2328 2753 2575 2939 Q 2822 3125 2822 3475 Q 2822 3834 2567 4026 Q 2313 4219 1838 4219 Q 1578 4219 1281 4162 Q 984 4106 628 3988 L 628 4550 Q 988 4650 1302 4700 Q 1616 4750 1894 4750 Q 2613 4750 3031 4423 Q 3450 4097 3450 3541 Q 3450 3153 3228 2886 Q 3006 2619 2597 2516 z \" transform=\"scale(0.015625)\"/>\n",
" <path id=\"DejaVuSans-3b\" d=\"M 750 3309 L 1409 3309 L 1409 2516 L 750 2516 L 750 3309 z M 750 794 L 1409 794 L 1409 256 L 897 -744 L 494 -744 L 750 256 L 750 794 z \" transform=\"scale(0.015625)\"/>\n",
" <path id=\"DejaVuSans-20\" transform=\"scale(0.015625)\"/>\n",
" <path id=\"DejaVuSans-Oblique-3c3\" d=\"M 2219 3044 Q 1744 3044 1422 2700 Q 1081 2341 969 1747 Q 844 1119 1044 756 Q 1241 397 1706 397 Q 2166 397 2503 759 Q 2844 1122 2966 1747 Q 3075 2319 2881 2700 Q 2700 3044 2219 3044 z M 2309 3503 L 4219 3500 L 4106 2925 L 3463 2925 Q 3706 2438 3575 1747 Q 3406 888 2884 400 Q 2359 -91 1609 -91 Q 856 -91 525 400 Q 194 888 363 1747 Q 528 2609 1050 3097 Q 1484 3503 2309 3503 z \" transform=\"scale(0.015625)\"/>\n",
" </defs>\n",
" <use xlink:href=\"#DejaVuSans-Oblique-3bc\" transform=\"translate(0 0.78125)\"/>\n",
" <use xlink:href=\"#DejaVuSans-3d\" transform=\"translate(83.105469 0.78125)\"/>\n",
" <use xlink:href=\"#DejaVuSans-33\" transform=\"translate(186.376953 0.78125)\"/>\n",
" <use xlink:href=\"#DejaVuSans-2e\" transform=\"translate(250 0.78125)\"/>\n",
" <use xlink:href=\"#DejaVuSans-30\" transform=\"translate(281.787109 0.78125)\"/>\n",
" <use xlink:href=\"#DejaVuSans-30\" transform=\"translate(345.410156 0.78125)\"/>\n",
" <use xlink:href=\"#DejaVuSans-3b\" transform=\"translate(409.033203 0.78125)\"/>\n",
" <use xlink:href=\"#DejaVuSans-20\" transform=\"translate(442.724609 0.78125)\"/>\n",
" <use xlink:href=\"#DejaVuSans-Oblique-3c3\" transform=\"translate(474.511719 0.78125)\"/>\n",
" <use xlink:href=\"#DejaVuSans-3d\" transform=\"translate(557.373047 0.78125)\"/>\n",
" <use xlink:href=\"#DejaVuSans-30\" transform=\"translate(660.644531 0.78125)\"/>\n",
" <use xlink:href=\"#DejaVuSans-2e\" transform=\"translate(724.267578 0.78125)\"/>\n",
" <use xlink:href=\"#DejaVuSans-30\" transform=\"translate(756.054688 0.78125)\"/>\n",
" <use xlink:href=\"#DejaVuSans-30\" transform=\"translate(819.677734 0.78125)\"/>\n",
" </g>\n",
" </g>\n",
" </g>\n",
" </g>\n",
" <defs>\n",
" <clipPath id=\"pa1d7cc7259\">\n",
" <rect x=\"32.865625\" y=\"32.48925\" width=\"334.8\" height=\"108.72\"/>\n",
" </clipPath>\n",
" </defs>\n",
"</svg>\n",
"\n",
"</g>\n",
"<!-- theta_fnr&#45;&gt;y_pred -->\n",
"<g id=\"edge1\" class=\"edge\">\n",
"<title>theta_fnr-&gt;y_pred</title>\n",
"<g id=\"a_edge1\"><a xlink:title=\"(2, 4):\">\n",
"<path fill=\"none\" stroke=\"#4a4a4a\" d=\"M509.2013,-103.5683C506.278,-102.3621 503.375,-101.1714 500.5,-100 471.3938,-88.1411 438.7775,-75.6808 411.4986,-65.4882\"/>\n",
"<polygon fill=\"#4a4a4a\" stroke=\"#4a4a4a\" points=\"412.6795,-62.1932 402.0867,-61.9823 410.2359,-68.7529 412.6795,-62.1932\"/>\n",
"</a>\n",
"</g>\n",
"</g>\n",
"<!-- y_true&#45;&gt;y_pred -->\n",
"<g id=\"edge3\" class=\"edge\">\n",
"<title>y_true-&gt;y_pred</title>\n",
"<g id=\"a_edge3\"><a xlink:title=\"(3, 4):\">\n",
"<path fill=\"none\" stroke=\"#4a4a4a\" d=\"M157.3179,-144.4681C168.4075,-130.3435 184.6813,-112.0318 202.5,-100 229.2652,-81.9272 262.6031,-68.5884 290.9539,-59.4242\"/>\n",
"<polygon fill=\"#4a4a4a\" stroke=\"#4a4a4a\" points=\"292.2574,-62.6837 300.755,-56.3559 290.1661,-56.0034 292.2574,-62.6837\"/>\n",
"</a>\n",
"</g>\n",
"</g>\n",
"</g>\n",
"</svg>"
],
"text/plain": [
"<IPython.core.display.SVG object>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"gnb.showInference(bn,evs={\"theta_fnr\":3, \"theta_fpr\": 3, \"y_true\": 0})"
]
},
{
"cell_type": "code",
"execution_count": 21,
"id": "f92ab4cf-0887-4a7e-b440-7a788d4a1b7b",
"metadata": {},
"outputs": [
{
"data": {
"image/svg+xml": [
"<svg xmlns=\"http://www.w3.org/2000/svg\" xmlns:xlink=\"http://www.w3.org/1999/xlink\" width=\"576pt\" height=\"292pt\" viewBox=\"0.00 0.00 576.00 291.79\">\n",
"<g id=\"graph0\" class=\"graph\" transform=\"scale(.7223 .7223) rotate(0) translate(4 400)\">\n",
"<title>structs</title>\n",
"<text text-anchor=\"middle\" x=\"394.75\" y=\"-7.8\" font-family=\"Times,serif\" font-size=\"14.00\" fill=\"#4a4a4a\">Inference in 3.93ms</text>\n",
"<!-- theta_y_true -->\n",
"<g id=\"node1\" class=\"node\">\n",
"<title>theta_y_true</title>\n",
"<polygon fill=\"#e0e0e0\" stroke=\"#000000\" points=\"285,-396 0,-396 0,-266 285,-266 285,-396\"/>\n",
"<svg viewBox=\"0 0 377.628125 170.89675\" width=\"285px\" height=\"130px\" preserveAspectRatio=\"xMinYMin meet\" x=\"0\" y=\"-396\"> <metadata>\n",
" <rdf:RDF xmlns:dc=\"http://purl.org/dc/elements/1.1/\" xmlns:cc=\"http://creativecommons.org/ns#\" xmlns:rdf=\"http://www.w3.org/1999/02/22-rdf-syntax-ns#\">\n",
" <cc:Work>\n",
" <dc:type rdf:resource=\"http://purl.org/dc/dcmitype/StillImage\"/>\n",
" <dc:date>2022-07-11T02:49:42.264381</dc:date>\n",
" <dc:format>image/svg+xml</dc:format>\n",
" <dc:creator>\n",
" <cc:Agent>\n",
" <dc:title>Matplotlib v3.5.2, https://matplotlib.org/</dc:title>\n",
" </cc:Agent>\n",
" </dc:creator>\n",
" </cc:Work>\n",
" </rdf:RDF>\n",
" </metadata>\n",
" <defs>\n",
" <style type=\"text/css\">*{stroke-linejoin: round; stroke-linecap: butt}</style>\n",
" </defs>\n",
" <g id=\"figure_1\">\n",
" <g id=\"patch_1\">\n",
" <path d=\"M 0 170.89675 L 377.628125 170.89675 L 377.628125 0 L 0 0 z \" style=\"fill: #e0e0e0\"/>\n",
" </g>\n",
" <g id=\"axes_1\">\n",
" <g id=\"patch_2\">\n",
" <path d=\"M 39.228125 141.20925 L 374.028125 141.20925 L 374.028125 32.48925 L 39.228125 32.48925 z \" style=\"fill: #ffffff\"/>\n",
" </g>\n",
" <g id=\"PolyCollection_1\">\n",
" <defs>\n",
" <path id=\"m8c060b211f\" d=\"M 39.228125 -29.6875 L 39.228125 -29.6875 L 40.347857 -29.6875 L 41.46759 -29.6875 L 42.587322 -29.6875 L 43.707055 -29.6875 L 44.826787 -29.6875 L 45.94652 -29.6875 L 47.066252 -29.6875 L 48.185985 -29.6875 L 49.305717 -29.6875 L 50.425449 -29.6875 L 51.545182 -29.6875 L 52.664914 -29.6875 L 53.784647 -29.687501 L 54.904379 -29.687502 L 56.024112 -29.687503 L 57.143844 -29.687506 L 58.263577 -29.687511 L 59.383309 -29.687519 L 60.503041 -29.687531 L 61.622774 -29.687551 L 62.742506 -29.68758 L 63.862239 -29.687624 L 64.981971 -29.687687 L 66.101704 -29.687776 L 67.221436 -29.687902 L 68.341168 -29.688076 L 69.460901 -29.688313 L 70.580633 -29.688632 L 71.700366 -29.689055 L 72.820098 -29.689611 L 73.939831 -29.690334 L 75.059563 -29.691264 L 76.179296 -29.69245 L 77.299028 -29.69395 L 78.41876 -29.69583 L 79.538493 -29.69817 L 80.658225 -29.70106 L 81.777958 -29.704605 L 82.89769 -29.708926 L 84.017423 -29.714158 L 85.137155 -29.720457 L 86.256888 -29.727997 L 87.37662 -29.736974 L 88.496352 -29.747606 L 89.616085 -29.760137 L 90.735817 -29.774836 L 91.85555 -29.791999 L 92.975282 -29.811953 L 94.095015 -29.835053 L 95.214747 -29.86169 L 96.33448 -29.892284 L 97.454212 -29.927292 L 98.573944 -29.967207 L 99.693677 -30.012558 L 100.813409 -30.063912 L 101.933142 -30.121875 L 103.052874 -30.187092 L 104.172607 -30.260246 L 105.292339 -30.342061 L 106.412071 -30.4333 L 107.531804 -30.534765 L 108.651536 -30.6473 L 109.771269 -30.771781 L 110.891001 -30.909128 L 112.010734 -31.060292 L 113.130466 -31.226261 L 114.250199 -31.408054 L 115.369931 -31.606723 L 116.489663 -31.823346 L 117.609396 -32.059028 L 118.729128 -32.314897 L 119.848861 -32.592099 L 120.968593 -32.891799 L 122.088326 -33.215173 L 123.208058 -33.563407 L 124.327791 -33.937689 L 125.447523 -34.339209 L 126.567255 -34.769153 L 127.686988 -35.228697 L 128.80672 -35.719001 L 129.926453 -36.241209 L 131.046185 -36.796437 L 132.165918 -37.385771 L 133.28565 -38.010263 L 134.405383 -38.670921 L 135.525115 -39.368706 L 136.644847 -40.104527 L 137.76458 -40.879233 L 138.884312 -41.693608 L 140.004045 -42.548365 L 141.123777 -43.444143 L 142.24351 -44.381496 L 143.363242 -45.360892 L 144.482974 -46.382707 L 145.602707 -47.447219 L 146.722439 -48.554602 L 147.842172 -49.704924 L 148.961904 -50.898141 L 150.081637 -52.134093 L 151.201369 -53.412499 L 152.321102 -54.732958 L 153.440834 -56.094938 L 154.560566 -57.497783 L 155.680299 -58.940702 L 156.800031 -60.422773 L 157.919764 -61.942939 L 159.039496 -63.500006 L 160.159229 -65.092645 L 161.278961 -66.719393 L 162.398694 -68.378648 L 163.518426 -70.068675 L 164.638158 -71.787608 L 165.757891 -73.533447 L 166.877623 -75.304066 L 167.997356 -77.097214 L 169.117088 -78.910516 L 170.236821 -80.741483 L 171.356553 -82.587512 L 172.476286 -84.445891 L 173.596018 -86.31381 L 174.71575 -88.188359 L 175.835483 -90.066543 L 176.955215 -91.945282 L 178.074948 -93.821424 L 179.19468 -95.691748 L 180.314413 -97.552976 L 181.434145 -99.401781 L 182.553878 -101.234794 L 183.67361 -103.048614 L 184.793342 -104.839819 L 185.913075 -106.604974 L 187.032807 -108.340641 L 188.15254 -110.043391 L 189.272272 -111.709811 L 190.392005 -113.336516 L 191.511737 -114.92016 L 192.631469 -116.457445 L 193.751202 -117.945132 L 194.870934 -119.380049 L 195.990667 -120.759106 L 197.110399 -122.0793 L 198.230132 -123.337727 L 199.349864 -124.531592 L 200.469597 -125.658214 L 201.589329 -126.715042 L 202.709061 -127.699659 L 203.828794 -128.60979 L 204.948526 -129.44331 L 206.068259 -130.198255 L 207.187991 -130.872824 L 208.307724 -131.465388 L 209.427456 -131.974493 L 210.547189 -132.398872 L 211.666921 -132.737442 L 212.786653 -132.98931 L 213.906386 -133.153782 L 215.026118 -133.230357 L 216.145851 -133.218737 L 217.265583 -133.118824 L 218.385316 -132.930722 L 219.505048 -132.654737 L 220.624781 -132.291377 L 221.744513 -131.84135 L 222.864245 -131.305564 L 223.983978 -130.685122 L 225.10371 -129.981319 L 226.223443 -129.195641 L 227.343175 -128.329757 L 228.462908 -127.385515 L 229.58264 -126.364937 L 230.702372 -125.270213 L 231.822105 -124.103692 L 232.941837 -122.867876 L 234.06157 -121.565413 L 235.181302 -120.199086 L 236.301035 -118.771806 L 237.420767 -117.286603 L 238.5405 -115.746615 L 239.660232 -114.155079 L 240.779964 -112.515319 L 241.899697 -110.830738 L 243.019429 -109.104807 L 244.139162 -107.341051 L 245.258894 -105.543042 L 246.378627 -103.714384 L 247.498359 -101.858705 L 248.618092 -99.979644 L 249.737824 -98.080842 L 250.857556 -96.165926 L 251.977289 -94.238506 L 253.097021 -92.302155 L 254.216754 -90.360408 L 255.336486 -88.416742 L 256.456219 -86.474577 L 257.575951 -84.537255 L 258.695684 -82.608039 L 259.815416 -80.690101 L 260.935148 -78.786516 L 262.054881 -76.900249 L 263.174613 -75.034152 L 264.294346 -73.190958 L 265.414078 -71.37327 L 266.533811 -69.583559 L 267.653543 -67.824159 L 268.773276 -66.09726 L 269.893008 -64.404905 L 271.01274 -62.74899 L 272.132473 -61.131255 L 273.252205 -59.553287 L 274.371938 -58.016519 L 275.49167 -56.522223 L 276.611403 -55.07152 L 277.731135 -53.665371 L 278.850867 -52.304583 L 279.9706 -50.98981 L 281.090332 -49.721555 L 282.210065 -48.500174 L 283.329797 -47.325877 L 284.44953 -46.198735 L 285.569262 -45.11868 L 286.688995 -44.085517 L 287.808727 -43.098921 L 288.928459 -42.158448 L 290.048192 -41.263541 L 291.167924 -40.413534 L 292.287657 -39.607659 L 293.407389 -38.845056 L 294.527122 -38.124774 L 295.646854 -37.445785 L 296.766587 -36.806987 L 297.886319 -36.207214 L 299.006051 -35.645241 L 300.125784 -35.119793 L 301.245516 -34.629552 L 302.365249 -34.173166 L 303.484981 -33.749253 L 304.604714 -33.356411 L 305.724446 -32.993224 L 306.844179 -32.658268 L 307.963911 -32.350119 L 309.083643 -32.067357 L 310.203376 -31.808574 L 311.323108 -31.572379 L 312.442841 -31.357402 L 313.562573 -31.1623 L 314.682306 -30.985762 L 315.802038 -30.826512 L 316.92177 -30.683311 L 318.041503 -30.554965 L 319.161235 -30.440324 L 320.280968 -30.338284 L 321.4007 -30.247792 L 322.520433 -30.167846 L 323.640165 -30.097495 L 324.759898 -30.035841 L 325.87963 -29.98204 L 326.999362 -29.935301 L 328.119095 -29.894886 L 329.238827 -29.86011 L 330.35856 -29.830338 L 331.478292 -29.804986 L 332.598025 -29.783519 L 333.717757 -29.765449 L 334.83749 -29.750332 L 335.957222 -29.737769 L 337.076954 -29.7274 L 338.196687 -29.718904 L 339.316419 -29.711998 L 340.436152 -29.70643 L 341.555884 -29.701979 L 342.675617 -29.698456 L 343.795349 -29.695694 L 344.915082 -29.693552 L 346.034814 -29.691911 L 347.154546 -29.690668 L 348.274279 -29.68974 L 349.394011 -29.689056 L 350.513744 -29.688562 L 351.633476 -29.688209 L 352.753209 -29.687963 L 353.872941 -29.687795 L 354.992673 -29.687683 L 356.112406 -29.68761 L 357.232138 -29.687564 L 358.351871 -29.687535 L 359.471603 -29.687519 L 360.591336 -29.687509 L 361.711068 -29.687504 L 362.830801 -29.687502 L 363.950533 -29.687501 L 365.070265 -29.6875 L 366.189998 -29.6875 L 367.30973 -29.6875 L 368.429463 -29.6875 L 369.549195 -29.6875 L 370.668928 -29.6875 L 371.78866 -29.6875 L 372.908393 -29.6875 L 374.028125 -29.6875 L 374.028125 -29.6875 L 374.028125 -29.6875 L 372.908393 -29.6875 L 371.78866 -29.6875 L 370.668928 -29.6875 L 369.549195 -29.6875 L 368.429463 -29.6875 L 367.30973 -29.6875 L 366.189998 -29.6875 L 365.070265 -29.6875 L 363.950533 -29.6875 L 362.830801 -29.6875 L 361.711068 -29.6875 L 360.591336 -29.6875 L 359.471603 -29.6875 L 358.351871 -29.6875 L 357.232138 -29.6875 L 356.112406 -29.6875 L 354.992673 -29.6875 L 353.872941 -29.6875 L 352.753209 -29.6875 L 351.633476 -29.6875 L 350.513744 -29.6875 L 349.394011 -29.6875 L 348.274279 -29.6875 L 347.154546 -29.6875 L 346.034814 -29.6875 L 344.915082 -29.6875 L 343.795349 -29.6875 L 342.675617 -29.6875 L 341.555884 -29.6875 L 340.436152 -29.6875 L 339.316419 -29.6875 L 338.196687 -29.6875 L 337.076954 -29.6875 L 335.957222 -29.6875 L 334.83749 -29.6875 L 333.717757 -29.6875 L 332.598025 -29.6875 L 331.478292 -29.6875 L 330.35856 -29.6875 L 329.238827 -29.6875 L 328.119095 -29.6875 L 326.999362 -29.6875 L 325.87963 -29.6875 L 324.759898 -29.6875 L 323.640165 -29.6875 L 322.520433 -29.6875 L 321.4007 -29.6875 L 320.280968 -29.6875 L 319.161235 -29.6875 L 318.041503 -29.6875 L 316.92177 -29.6875 L 315.802038 -29.6875 L 314.682306 -29.6875 L 313.562573 -29.6875 L 312.442841 -29.6875 L 311.323108 -29.6875 L 310.203376 -29.6875 L 309.083643 -29.6875 L 307.963911 -29.6875 L 306.844179 -29.6875 L 305.724446 -29.6875 L 304.604714 -29.6875 L 303.484981 -29.6875 L 302.365249 -29.6875 L 301.245516 -29.6875 L 300.125784 -29.6875 L 299.006051 -29.6875 L 297.886319 -29.6875 L 296.766587 -29.6875 L 295.646854 -29.6875 L 294.527122 -29.6875 L 293.407389 -29.6875 L 292.287657 -29.6875 L 291.167924 -29.6875 L 290.048192 -29.6875 L 288.928459 -29.6875 L 287.808727 -29.6875 L 286.688995 -29.6875 L 285.569262 -29.6875 L 284.44953 -29.6875 L 283.329797 -29.6875 L 282.210065 -29.6875 L 281.090332 -29.6875 L 279.9706 -29.6875 L 278.850867 -29.6875 L 277.731135 -29.6875 L 276.611403 -29.6875 L 275.49167 -29.6875 L 274.371938 -29.6875 L 273.252205 -29.6875 L 272.132473 -29.6875 L 271.01274 -29.6875 L 269.893008 -29.6875 L 268.773276 -29.6875 L 267.653543 -29.6875 L 266.533811 -29.6875 L 265.414078 -29.6875 L 264.294346 -29.6875 L 263.174613 -29.6875 L 262.054881 -29.6875 L 260.935148 -29.6875 L 259.815416 -29.6875 L 258.695684 -29.6875 L 257.575951 -29.6875 L 256.456219 -29.6875 L 255.336486 -29.6875 L 254.216754 -29.6875 L 253.097021 -29.6875 L 251.977289 -29.6875 L 250.857556 -29.6875 L 249.737824 -29.6875 L 248.618092 -29.6875 L 247.498359 -29.6875 L 246.378627 -29.6875 L 245.258894 -29.6875 L 244.139162 -29.6875 L 243.019429 -29.6875 L 241.899697 -29.6875 L 240.779964 -29.6875 L 239.660232 -29.6875 L 238.5405 -29.6875 L 237.420767 -29.6875 L 236.301035 -29.6875 L 235.181302 -29.6875 L 234.06157 -29.6875 L 232.941837 -29.6875 L 231.822105 -29.6875 L 230.702372 -29.6875 L 229.58264 -29.6875 L 228.462908 -29.6875 L 227.343175 -29.6875 L 226.223443 -29.6875 L 225.10371 -29.6875 L 223.983978 -29.6875 L 222.864245 -29.6875 L 221.744513 -29.6875 L 220.624781 -29.6875 L 219.505048 -29.6875 L 218.385316 -29.6875 L 217.265583 -29.6875 L 216.145851 -29.6875 L 215.026118 -29.6875 L 213.906386 -29.6875 L 212.786653 -29.6875 L 211.666921 -29.6875 L 210.547189 -29.6875 L 209.427456 -29.6875 L 208.307724 -29.6875 L 207.187991 -29.6875 L 206.068259 -29.6875 L 204.948526 -29.6875 L 203.828794 -29.6875 L 202.709061 -29.6875 L 201.589329 -29.6875 L 200.469597 -29.6875 L 199.349864 -29.6875 L 198.230132 -29.6875 L 197.110399 -29.6875 L 195.990667 -29.6875 L 194.870934 -29.6875 L 193.751202 -29.6875 L 192.631469 -29.6875 L 191.511737 -29.6875 L 190.392005 -29.6875 L 189.272272 -29.6875 L 188.15254 -29.6875 L 187.032807 -29.6875 L 185.913075 -29.6875 L 184.793342 -29.6875 L 183.67361 -29.6875 L 182.553878 -29.6875 L 181.434145 -29.6875 L 180.314413 -29.6875 L 179.19468 -29.6875 L 178.074948 -29.6875 L 176.955215 -29.6875 L 175.835483 -29.6875 L 174.71575 -29.6875 L 173.596018 -29.6875 L 172.476286 -29.6875 L 171.356553 -29.6875 L 170.236821 -29.6875 L 169.117088 -29.6875 L 167.997356 -29.6875 L 166.877623 -29.6875 L 165.757891 -29.6875 L 164.638158 -29.6875 L 163.518426 -29.6875 L 162.398694 -29.6875 L 161.278961 -29.6875 L 160.159229 -29.6875 L 159.039496 -29.6875 L 157.919764 -29.6875 L 156.800031 -29.6875 L 155.680299 -29.6875 L 154.560566 -29.6875 L 153.440834 -29.6875 L 152.321102 -29.6875 L 151.201369 -29.6875 L 150.081637 -29.6875 L 148.961904 -29.6875 L 147.842172 -29.6875 L 146.722439 -29.6875 L 145.602707 -29.6875 L 144.482974 -29.6875 L 143.363242 -29.6875 L 142.24351 -29.6875 L 141.123777 -29.6875 L 140.004045 -29.6875 L 138.884312 -29.6875 L 137.76458 -29.6875 L 136.644847 -29.6875 L 135.525115 -29.6875 L 134.405383 -29.6875 L 133.28565 -29.6875 L 132.165918 -29.6875 L 131.046185 -29.6875 L 129.926453 -29.6875 L 128.80672 -29.6875 L 127.686988 -29.6875 L 126.567255 -29.6875 L 125.447523 -29.6875 L 124.327791 -29.6875 L 123.208058 -29.6875 L 122.088326 -29.6875 L 120.968593 -29.6875 L 119.848861 -29.6875 L 118.729128 -29.6875 L 117.609396 -29.6875 L 116.489663 -29.6875 L 115.369931 -29.6875 L 114.250199 -29.6875 L 113.130466 -29.6875 L 112.010734 -29.6875 L 110.891001 -29.6875 L 109.771269 -29.6875 L 108.651536 -29.6875 L 107.531804 -29.6875 L 106.412071 -29.6875 L 105.292339 -29.6875 L 104.172607 -29.6875 L 103.052874 -29.6875 L 101.933142 -29.6875 L 100.813409 -29.6875 L 99.693677 -29.6875 L 98.573944 -29.6875 L 97.454212 -29.6875 L 96.33448 -29.6875 L 95.214747 -29.6875 L 94.095015 -29.6875 L 92.975282 -29.6875 L 91.85555 -29.6875 L 90.735817 -29.6875 L 89.616085 -29.6875 L 88.496352 -29.6875 L 87.37662 -29.6875 L 86.256888 -29.6875 L 85.137155 -29.6875 L 84.017423 -29.6875 L 82.89769 -29.6875 L 81.777958 -29.6875 L 80.658225 -29.6875 L 79.538493 -29.6875 L 78.41876 -29.6875 L 77.299028 -29.6875 L 76.179296 -29.6875 L 75.059563 -29.6875 L 73.939831 -29.6875 L 72.820098 -29.6875 L 71.700366 -29.6875 L 70.580633 -29.6875 L 69.460901 -29.6875 L 68.341168 -29.6875 L 67.221436 -29.6875 L 66.101704 -29.6875 L 64.981971 -29.6875 L 63.862239 -29.6875 L 62.742506 -29.6875 L 61.622774 -29.6875 L 60.503041 -29.6875 L 59.383309 -29.6875 L 58.263577 -29.6875 L 57.143844 -29.6875 L 56.024112 -29.6875 L 54.904379 -29.6875 L 53.784647 -29.6875 L 52.664914 -29.6875 L 51.545182 -29.6875 L 50.425449 -29.6875 L 49.305717 -29.6875 L 48.185985 -29.6875 L 47.066252 -29.6875 L 45.94652 -29.6875 L 44.826787 -29.6875 L 43.707055 -29.6875 L 42.587322 -29.6875 L 41.46759 -29.6875 L 40.347857 -29.6875 L 39.228125 -29.6875 z \" style=\"stroke: #8fbc8f\"/>\n",
" </defs>\n",
" <g clip-path=\"url(#p97aa4d8e52)\">\n",
" <use xlink:href=\"#m8c060b211f\" x=\"0\" y=\"170.89675\" style=\"fill: #8fbc8f; stroke: #8fbc8f\"/>\n",
" </g>\n",
" </g>\n",
" <g id=\"matplotlib.axis_1\">\n",
" <g id=\"xtick_1\">\n",
" <g id=\"line2d_1\">\n",
" <path d=\"M 39.228125 141.20925 L 39.228125 32.48925 \" clip-path=\"url(#p97aa4d8e52)\" style=\"fill: none; stroke: #b0b0b0; stroke-width: 0.8; stroke-linecap: square\"/>\n",
" </g>\n",
" <g id=\"line2d_2\">\n",
" <defs>\n",
" <path id=\"m99d483c6a2\" d=\"M 0 0 L 0 3.5 \" style=\"stroke: #000000; stroke-width: 0.8\"/>\n",
" </defs>\n",
" <g>\n",
" <use xlink:href=\"#m99d483c6a2\" x=\"39.228125\" y=\"141.20925\" style=\"stroke: #000000; stroke-width: 0.8\"/>\n",
" </g>\n",
" </g>\n",
" <g id=\"text_1\">\n",
" <!-- 0 -->\n",
" <g transform=\"translate(41.9875 154.57175)rotate(-90)scale(0.1 -0.1)\">\n",
" <defs>\n",
" <path id=\"DejaVuSans-30\" d=\"M 2034 4250 Q 1547 4250 1301 3770 Q 1056 3291 1056 2328 Q 1056 1369 1301 889 Q 1547 409 2034 409 Q 2525 409 2770 889 Q 3016 1369 3016 2328 Q 3016 3291 2770 3770 Q 2525 4250 2034 4250 z M 2034 4750 Q 2819 4750 3233 4129 Q 3647 3509 3647 2328 Q 3647 1150 3233 529 Q 2819 -91 2034 -91 Q 1250 -91 836 529 Q 422 1150 422 2328 Q 422 3509 836 4129 Q 1250 4750 2034 4750 z \" transform=\"scale(0.015625)\"/>\n",
" </defs>\n",
" <use xlink:href=\"#DejaVuSans-30\"/>\n",
" </g>\n",
" </g>\n",
" </g>\n",
" <g id=\"xtick_2\">\n",
" <g id=\"line2d_3\">\n",
" <path d=\"M 61.622774 141.20925 L 61.622774 32.48925 \" clip-path=\"url(#p97aa4d8e52)\" style=\"fill: none; stroke: #b0b0b0; stroke-width: 0.8; stroke-linecap: square\"/>\n",
" </g>\n",
" <g id=\"line2d_4\">\n",
" <g>\n",
" <use xlink:href=\"#m99d483c6a2\" x=\"61.622774\" y=\"141.20925\" style=\"stroke: #000000; stroke-width: 0.8\"/>\n",
" </g>\n",
" </g>\n",
" <g id=\"text_2\">\n",
" <!-- 20 -->\n",
" <g transform=\"translate(64.382149 160.93425)rotate(-90)scale(0.1 -0.1)\">\n",
" <defs>\n",
" <path id=\"DejaVuSans-32\" d=\"M 1228 531 L 3431 531 L 3431 0 L 469 0 L 469 531 Q 828 903 1448 1529 Q 2069 2156 2228 2338 Q 2531 2678 2651 2914 Q 2772 3150 2772 3378 Q 2772 3750 2511 3984 Q 2250 4219 1831 4219 Q 1534 4219 1204 4116 Q 875 4013 500 3803 L 500 4441 Q 881 4594 1212 4672 Q 1544 4750 1819 4750 Q 2544 4750 2975 4387 Q 3406 4025 3406 3419 Q 3406 3131 3298 2873 Q 3191 2616 2906 2266 Q 2828 2175 2409 1742 Q 1991 1309 1228 531 z \" transform=\"scale(0.015625)\"/>\n",
" </defs>\n",
" <use xlink:href=\"#DejaVuSans-32\"/>\n",
" <use xlink:href=\"#DejaVuSans-30\" x=\"63.623047\"/>\n",
" </g>\n",
" </g>\n",
" </g>\n",
" <g id=\"xtick_3\">\n",
" <g id=\"line2d_5\">\n",
" <path d=\"M 84.017423 141.20925 L 84.017423 32.48925 \" clip-path=\"url(#p97aa4d8e52)\" style=\"fill: none; stroke: #b0b0b0; stroke-width: 0.8; stroke-linecap: square\"/>\n",
" </g>\n",
" <g id=\"line2d_6\">\n",
" <g>\n",
" <use xlink:href=\"#m99d483c6a2\" x=\"84.017423\" y=\"141.20925\" style=\"stroke: #000000; stroke-width: 0.8\"/>\n",
" </g>\n",
" </g>\n",
" <g id=\"text_3\">\n",
" <!-- 40 -->\n",
" <g transform=\"translate(86.776798 160.93425)rotate(-90)scale(0.1 -0.1)\">\n",
" <defs>\n",
" <path id=\"DejaVuSans-34\" d=\"M 2419 4116 L 825 1625 L 2419 1625 L 2419 4116 z M 2253 4666 L 3047 4666 L 3047 1625 L 3713 1625 L 3713 1100 L 3047 1100 L 3047 0 L 2419 0 L 2419 1100 L 313 1100 L 313 1709 L 2253 4666 z \" transform=\"scale(0.015625)\"/>\n",
" </defs>\n",
" <use xlink:href=\"#DejaVuSans-34\"/>\n",
" <use xlink:href=\"#DejaVuSans-30\" x=\"63.623047\"/>\n",
" </g>\n",
" </g>\n",
" </g>\n",
" <g id=\"xtick_4\">\n",
" <g id=\"line2d_7\">\n",
" <path d=\"M 106.412071 141.20925 L 106.412071 32.48925 \" clip-path=\"url(#p97aa4d8e52)\" style=\"fill: none; stroke: #b0b0b0; stroke-width: 0.8; stroke-linecap: square\"/>\n",
" </g>\n",
" <g id=\"line2d_8\">\n",
" <g>\n",
" <use xlink:href=\"#m99d483c6a2\" x=\"106.412071\" y=\"141.20925\" style=\"stroke: #000000; stroke-width: 0.8\"/>\n",
" </g>\n",
" </g>\n",
" <g id=\"text_4\">\n",
" <!-- 60 -->\n",
" <g transform=\"translate(109.171446 160.93425)rotate(-90)scale(0.1 -0.1)\">\n",
" <defs>\n",
" <path id=\"DejaVuSans-36\" d=\"M 2113 2584 Q 1688 2584 1439 2293 Q 1191 2003 1191 1497 Q 1191 994 1439 701 Q 1688 409 2113 409 Q 2538 409 2786 701 Q 3034 994 3034 1497 Q 3034 2003 2786 2293 Q 2538 2584 2113 2584 z M 3366 4563 L 3366 3988 Q 3128 4100 2886 4159 Q 2644 4219 2406 4219 Q 1781 4219 1451 3797 Q 1122 3375 1075 2522 Q 1259 2794 1537 2939 Q 1816 3084 2150 3084 Q 2853 3084 3261 2657 Q 3669 2231 3669 1497 Q 3669 778 3244 343 Q 2819 -91 2113 -91 Q 1303 -91 875 529 Q 447 1150 447 2328 Q 447 3434 972 4092 Q 1497 4750 2381 4750 Q 2619 4750 2861 4703 Q 3103 4656 3366 4563 z \" transform=\"scale(0.015625)\"/>\n",
" </defs>\n",
" <use xlink:href=\"#DejaVuSans-36\"/>\n",
" <use xlink:href=\"#DejaVuSans-30\" x=\"63.623047\"/>\n",
" </g>\n",
" </g>\n",
" </g>\n",
" <g id=\"xtick_5\">\n",
" <g id=\"line2d_9\">\n",
" <path d=\"M 128.80672 141.20925 L 128.80672 32.48925 \" clip-path=\"url(#p97aa4d8e52)\" style=\"fill: none; stroke: #b0b0b0; stroke-width: 0.8; stroke-linecap: square\"/>\n",
" </g>\n",
" <g id=\"line2d_10\">\n",
" <g>\n",
" <use xlink:href=\"#m99d483c6a2\" x=\"128.80672\" y=\"141.20925\" style=\"stroke: #000000; stroke-width: 0.8\"/>\n",
" </g>\n",
" </g>\n",
" <g id=\"text_5\">\n",
" <!-- 80 -->\n",
" <g transform=\"translate(131.566095 160.93425)rotate(-90)scale(0.1 -0.1)\">\n",
" <defs>\n",
" <path id=\"DejaVuSans-38\" d=\"M 2034 2216 Q 1584 2216 1326 1975 Q 1069 1734 1069 1313 Q 1069 891 1326 650 Q 1584 409 2034 409 Q 2484 409 2743 651 Q 3003 894 3003 1313 Q 3003 1734 2745 1975 Q 2488 2216 2034 2216 z M 1403 2484 Q 997 2584 770 2862 Q 544 3141 544 3541 Q 544 4100 942 4425 Q 1341 4750 2034 4750 Q 2731 4750 3128 4425 Q 3525 4100 3525 3541 Q 3525 3141 3298 2862 Q 3072 2584 2669 2484 Q 3125 2378 3379 2068 Q 3634 1759 3634 1313 Q 3634 634 3220 271 Q 2806 -91 2034 -91 Q 1263 -91 848 271 Q 434 634 434 1313 Q 434 1759 690 2068 Q 947 2378 1403 2484 z M 1172 3481 Q 1172 3119 1398 2916 Q 1625 2713 2034 2713 Q 2441 2713 2670 2916 Q 2900 3119 2900 3481 Q 2900 3844 2670 4047 Q 2441 4250 2034 4250 Q 1625 4250 1398 4047 Q 1172 3844 1172 3481 z \" transform=\"scale(0.015625)\"/>\n",
" </defs>\n",
" <use xlink:href=\"#DejaVuSans-38\"/>\n",
" <use xlink:href=\"#DejaVuSans-30\" x=\"63.623047\"/>\n",
" </g>\n",
" </g>\n",
" </g>\n",
" <g id=\"xtick_6\">\n",
" <g id=\"line2d_11\">\n",
" <path d=\"M 151.201369 141.20925 L 151.201369 32.48925 \" clip-path=\"url(#p97aa4d8e52)\" style=\"fill: none; stroke: #b0b0b0; stroke-width: 0.8; stroke-linecap: square\"/>\n",
" </g>\n",
" <g id=\"line2d_12\">\n",
" <g>\n",
" <use xlink:href=\"#m99d483c6a2\" x=\"151.201369\" y=\"141.20925\" style=\"stroke: #000000; stroke-width: 0.8\"/>\n",
" </g>\n",
" </g>\n",
" <g id=\"text_6\">\n",
" <!-- 100 -->\n",
" <g transform=\"translate(153.960744 167.29675)rotate(-90)scale(0.1 -0.1)\">\n",
" <defs>\n",
" <path id=\"DejaVuSans-31\" d=\"M 794 531 L 1825 531 L 1825 4091 L 703 3866 L 703 4441 L 1819 4666 L 2450 4666 L 2450 531 L 3481 531 L 3481 0 L 794 0 L 794 531 z \" transform=\"scale(0.015625)\"/>\n",
" </defs>\n",
" <use xlink:href=\"#DejaVuSans-31\"/>\n",
" <use xlink:href=\"#DejaVuSans-30\" x=\"63.623047\"/>\n",
" <use xlink:href=\"#DejaVuSans-30\" x=\"127.246094\"/>\n",
" </g>\n",
" </g>\n",
" </g>\n",
" <g id=\"xtick_7\">\n",
" <g id=\"line2d_13\">\n",
" <path d=\"M 173.596018 141.20925 L 173.596018 32.48925 \" clip-path=\"url(#p97aa4d8e52)\" style=\"fill: none; stroke: #b0b0b0; stroke-width: 0.8; stroke-linecap: square\"/>\n",
" </g>\n",
" <g id=\"line2d_14\">\n",
" <g>\n",
" <use xlink:href=\"#m99d483c6a2\" x=\"173.596018\" y=\"141.20925\" style=\"stroke: #000000; stroke-width: 0.8\"/>\n",
" </g>\n",
" </g>\n",
" <g id=\"text_7\">\n",
" <!-- 120 -->\n",
" <g transform=\"translate(176.355393 167.29675)rotate(-90)scale(0.1 -0.1)\">\n",
" <use xlink:href=\"#DejaVuSans-31\"/>\n",
" <use xlink:href=\"#DejaVuSans-32\" x=\"63.623047\"/>\n",
" <use xlink:href=\"#DejaVuSans-30\" x=\"127.246094\"/>\n",
" </g>\n",
" </g>\n",
" </g>\n",
" <g id=\"xtick_8\">\n",
" <g id=\"line2d_15\">\n",
" <path d=\"M 195.990667 141.20925 L 195.990667 32.48925 \" clip-path=\"url(#p97aa4d8e52)\" style=\"fill: none; stroke: #b0b0b0; stroke-width: 0.8; stroke-linecap: square\"/>\n",
" </g>\n",
" <g id=\"line2d_16\">\n",
" <g>\n",
" <use xlink:href=\"#m99d483c6a2\" x=\"195.990667\" y=\"141.20925\" style=\"stroke: #000000; stroke-width: 0.8\"/>\n",
" </g>\n",
" </g>\n",
" <g id=\"text_8\">\n",
" <!-- 140 -->\n",
" <g transform=\"translate(198.750042 167.29675)rotate(-90)scale(0.1 -0.1)\">\n",
" <use xlink:href=\"#DejaVuSans-31\"/>\n",
" <use xlink:href=\"#DejaVuSans-34\" x=\"63.623047\"/>\n",
" <use xlink:href=\"#DejaVuSans-30\" x=\"127.246094\"/>\n",
" </g>\n",
" </g>\n",
" </g>\n",
" <g id=\"xtick_9\">\n",
" <g id=\"line2d_17\">\n",
" <path d=\"M 218.385316 141.20925 L 218.385316 32.48925 \" clip-path=\"url(#p97aa4d8e52)\" style=\"fill: none; stroke: #b0b0b0; stroke-width: 0.8; stroke-linecap: square\"/>\n",
" </g>\n",
" <g id=\"line2d_18\">\n",
" <g>\n",
" <use xlink:href=\"#m99d483c6a2\" x=\"218.385316\" y=\"141.20925\" style=\"stroke: #000000; stroke-width: 0.8\"/>\n",
" </g>\n",
" </g>\n",
" <g id=\"text_9\">\n",
" <!-- 160 -->\n",
" <g transform=\"translate(221.144691 167.29675)rotate(-90)scale(0.1 -0.1)\">\n",
" <use xlink:href=\"#DejaVuSans-31\"/>\n",
" <use xlink:href=\"#DejaVuSans-36\" x=\"63.623047\"/>\n",
" <use xlink:href=\"#DejaVuSans-30\" x=\"127.246094\"/>\n",
" </g>\n",
" </g>\n",
" </g>\n",
" <g id=\"xtick_10\">\n",
" <g id=\"line2d_19\">\n",
" <path d=\"M 240.779964 141.20925 L 240.779964 32.48925 \" clip-path=\"url(#p97aa4d8e52)\" style=\"fill: none; stroke: #b0b0b0; stroke-width: 0.8; stroke-linecap: square\"/>\n",
" </g>\n",
" <g id=\"line2d_20\">\n",
" <g>\n",
" <use xlink:href=\"#m99d483c6a2\" x=\"240.779964\" y=\"141.20925\" style=\"stroke: #000000; stroke-width: 0.8\"/>\n",
" </g>\n",
" </g>\n",
" <g id=\"text_10\">\n",
" <!-- 180 -->\n",
" <g transform=\"translate(243.539339 167.29675)rotate(-90)scale(0.1 -0.1)\">\n",
" <use xlink:href=\"#DejaVuSans-31\"/>\n",
" <use xlink:href=\"#DejaVuSans-38\" x=\"63.623047\"/>\n",
" <use xlink:href=\"#DejaVuSans-30\" x=\"127.246094\"/>\n",
" </g>\n",
" </g>\n",
" </g>\n",
" <g id=\"xtick_11\">\n",
" <g id=\"line2d_21\">\n",
" <path d=\"M 263.174613 141.20925 L 263.174613 32.48925 \" clip-path=\"url(#p97aa4d8e52)\" style=\"fill: none; stroke: #b0b0b0; stroke-width: 0.8; stroke-linecap: square\"/>\n",
" </g>\n",
" <g id=\"line2d_22\">\n",
" <g>\n",
" <use xlink:href=\"#m99d483c6a2\" x=\"263.174613\" y=\"141.20925\" style=\"stroke: #000000; stroke-width: 0.8\"/>\n",
" </g>\n",
" </g>\n",
" <g id=\"text_11\">\n",
" <!-- 200 -->\n",
" <g transform=\"translate(265.933988 167.29675)rotate(-90)scale(0.1 -0.1)\">\n",
" <use xlink:href=\"#DejaVuSans-32\"/>\n",
" <use xlink:href=\"#DejaVuSans-30\" x=\"63.623047\"/>\n",
" <use xlink:href=\"#DejaVuSans-30\" x=\"127.246094\"/>\n",
" </g>\n",
" </g>\n",
" </g>\n",
" <g id=\"xtick_12\">\n",
" <g id=\"line2d_23\">\n",
" <path d=\"M 285.569262 141.20925 L 285.569262 32.48925 \" clip-path=\"url(#p97aa4d8e52)\" style=\"fill: none; stroke: #b0b0b0; stroke-width: 0.8; stroke-linecap: square\"/>\n",
" </g>\n",
" <g id=\"line2d_24\">\n",
" <g>\n",
" <use xlink:href=\"#m99d483c6a2\" x=\"285.569262\" y=\"141.20925\" style=\"stroke: #000000; stroke-width: 0.8\"/>\n",
" </g>\n",
" </g>\n",
" <g id=\"text_12\">\n",
" <!-- 220 -->\n",
" <g transform=\"translate(288.328637 167.29675)rotate(-90)scale(0.1 -0.1)\">\n",
" <use xlink:href=\"#DejaVuSans-32\"/>\n",
" <use xlink:href=\"#DejaVuSans-32\" x=\"63.623047\"/>\n",
" <use xlink:href=\"#DejaVuSans-30\" x=\"127.246094\"/>\n",
" </g>\n",
" </g>\n",
" </g>\n",
" <g id=\"xtick_13\">\n",
" <g id=\"line2d_25\">\n",
" <path d=\"M 307.963911 141.20925 L 307.963911 32.48925 \" clip-path=\"url(#p97aa4d8e52)\" style=\"fill: none; stroke: #b0b0b0; stroke-width: 0.8; stroke-linecap: square\"/>\n",
" </g>\n",
" <g id=\"line2d_26\">\n",
" <g>\n",
" <use xlink:href=\"#m99d483c6a2\" x=\"307.963911\" y=\"141.20925\" style=\"stroke: #000000; stroke-width: 0.8\"/>\n",
" </g>\n",
" </g>\n",
" <g id=\"text_13\">\n",
" <!-- 240 -->\n",
" <g transform=\"translate(310.723286 167.29675)rotate(-90)scale(0.1 -0.1)\">\n",
" <use xlink:href=\"#DejaVuSans-32\"/>\n",
" <use xlink:href=\"#DejaVuSans-34\" x=\"63.623047\"/>\n",
" <use xlink:href=\"#DejaVuSans-30\" x=\"127.246094\"/>\n",
" </g>\n",
" </g>\n",
" </g>\n",
" <g id=\"xtick_14\">\n",
" <g id=\"line2d_27\">\n",
" <path d=\"M 330.35856 141.20925 L 330.35856 32.48925 \" clip-path=\"url(#p97aa4d8e52)\" style=\"fill: none; stroke: #b0b0b0; stroke-width: 0.8; stroke-linecap: square\"/>\n",
" </g>\n",
" <g id=\"line2d_28\">\n",
" <g>\n",
" <use xlink:href=\"#m99d483c6a2\" x=\"330.35856\" y=\"141.20925\" style=\"stroke: #000000; stroke-width: 0.8\"/>\n",
" </g>\n",
" </g>\n",
" <g id=\"text_14\">\n",
" <!-- 260 -->\n",
" <g transform=\"translate(333.117935 167.29675)rotate(-90)scale(0.1 -0.1)\">\n",
" <use xlink:href=\"#DejaVuSans-32\"/>\n",
" <use xlink:href=\"#DejaVuSans-36\" x=\"63.623047\"/>\n",
" <use xlink:href=\"#DejaVuSans-30\" x=\"127.246094\"/>\n",
" </g>\n",
" </g>\n",
" </g>\n",
" <g id=\"xtick_15\">\n",
" <g id=\"line2d_29\">\n",
" <path d=\"M 352.753209 141.20925 L 352.753209 32.48925 \" clip-path=\"url(#p97aa4d8e52)\" style=\"fill: none; stroke: #b0b0b0; stroke-width: 0.8; stroke-linecap: square\"/>\n",
" </g>\n",
" <g id=\"line2d_30\">\n",
" <g>\n",
" <use xlink:href=\"#m99d483c6a2\" x=\"352.753209\" y=\"141.20925\" style=\"stroke: #000000; stroke-width: 0.8\"/>\n",
" </g>\n",
" </g>\n",
" <g id=\"text_15\">\n",
" <!-- 280 -->\n",
" <g transform=\"translate(355.512584 167.29675)rotate(-90)scale(0.1 -0.1)\">\n",
" <use xlink:href=\"#DejaVuSans-32\"/>\n",
" <use xlink:href=\"#DejaVuSans-38\" x=\"63.623047\"/>\n",
" <use xlink:href=\"#DejaVuSans-30\" x=\"127.246094\"/>\n",
" </g>\n",
" </g>\n",
" </g>\n",
" </g>\n",
" <g id=\"matplotlib.axis_2\">\n",
" <g id=\"ytick_1\">\n",
" <g id=\"line2d_31\">\n",
" <path d=\"M 39.228125 141.20925 L 374.028125 141.20925 \" clip-path=\"url(#p97aa4d8e52)\" style=\"fill: none; stroke: #b0b0b0; stroke-width: 0.8; stroke-linecap: square\"/>\n",
" </g>\n",
" <g id=\"line2d_32\">\n",
" <defs>\n",
" <path id=\"m338c7106e5\" d=\"M 0 0 L -3.5 0 \" style=\"stroke: #000000; stroke-width: 0.8\"/>\n",
" </defs>\n",
" <g>\n",
" <use xlink:href=\"#m338c7106e5\" x=\"39.228125\" y=\"141.20925\" style=\"stroke: #000000; stroke-width: 0.8\"/>\n",
" </g>\n",
" </g>\n",
" <g id=\"text_16\">\n",
" <!-- 0.000 -->\n",
" <g transform=\"translate(3.6 145.008469)scale(0.1 -0.1)\">\n",
" <defs>\n",
" <path id=\"DejaVuSans-2e\" d=\"M 684 794 L 1344 794 L 1344 0 L 684 0 L 684 794 z \" transform=\"scale(0.015625)\"/>\n",
" </defs>\n",
" <use xlink:href=\"#DejaVuSans-30\"/>\n",
" <use xlink:href=\"#DejaVuSans-2e\" x=\"63.623047\"/>\n",
" <use xlink:href=\"#DejaVuSans-30\" x=\"95.410156\"/>\n",
" <use xlink:href=\"#DejaVuSans-30\" x=\"159.033203\"/>\n",
" <use xlink:href=\"#DejaVuSans-30\" x=\"222.65625\"/>\n",
" </g>\n",
" </g>\n",
" </g>\n",
" <g id=\"ytick_2\">\n",
" <g id=\"line2d_33\">\n",
" <path d=\"M 39.228125 98.421077 L 374.028125 98.421077 \" clip-path=\"url(#p97aa4d8e52)\" style=\"fill: none; stroke: #b0b0b0; stroke-width: 0.8; stroke-linecap: square\"/>\n",
" </g>\n",
" <g id=\"line2d_34\">\n",
" <g>\n",
" <use xlink:href=\"#m338c7106e5\" x=\"39.228125\" y=\"98.421077\" style=\"stroke: #000000; stroke-width: 0.8\"/>\n",
" </g>\n",
" </g>\n",
" <g id=\"text_17\">\n",
" <!-- 0.005 -->\n",
" <g transform=\"translate(3.6 102.220296)scale(0.1 -0.1)\">\n",
" <defs>\n",
" <path id=\"DejaVuSans-35\" d=\"M 691 4666 L 3169 4666 L 3169 4134 L 1269 4134 L 1269 2991 Q 1406 3038 1543 3061 Q 1681 3084 1819 3084 Q 2600 3084 3056 2656 Q 3513 2228 3513 1497 Q 3513 744 3044 326 Q 2575 -91 1722 -91 Q 1428 -91 1123 -41 Q 819 9 494 109 L 494 744 Q 775 591 1075 516 Q 1375 441 1709 441 Q 2250 441 2565 725 Q 2881 1009 2881 1497 Q 2881 1984 2565 2268 Q 2250 2553 1709 2553 Q 1456 2553 1204 2497 Q 953 2441 691 2322 L 691 4666 z \" transform=\"scale(0.015625)\"/>\n",
" </defs>\n",
" <use xlink:href=\"#DejaVuSans-30\"/>\n",
" <use xlink:href=\"#DejaVuSans-2e\" x=\"63.623047\"/>\n",
" <use xlink:href=\"#DejaVuSans-30\" x=\"95.410156\"/>\n",
" <use xlink:href=\"#DejaVuSans-30\" x=\"159.033203\"/>\n",
" <use xlink:href=\"#DejaVuSans-35\" x=\"222.65625\"/>\n",
" </g>\n",
" </g>\n",
" </g>\n",
" <g id=\"ytick_3\">\n",
" <g id=\"line2d_35\">\n",
" <path d=\"M 39.228125 55.632904 L 374.028125 55.632904 \" clip-path=\"url(#p97aa4d8e52)\" style=\"fill: none; stroke: #b0b0b0; stroke-width: 0.8; stroke-linecap: square\"/>\n",
" </g>\n",
" <g id=\"line2d_36\">\n",
" <g>\n",
" <use xlink:href=\"#m338c7106e5\" x=\"39.228125\" y=\"55.632904\" style=\"stroke: #000000; stroke-width: 0.8\"/>\n",
" </g>\n",
" </g>\n",
" <g id=\"text_18\">\n",
" <!-- 0.010 -->\n",
" <g transform=\"translate(3.6 59.432123)scale(0.1 -0.1)\">\n",
" <use xlink:href=\"#DejaVuSans-30\"/>\n",
" <use xlink:href=\"#DejaVuSans-2e\" x=\"63.623047\"/>\n",
" <use xlink:href=\"#DejaVuSans-30\" x=\"95.410156\"/>\n",
" <use xlink:href=\"#DejaVuSans-31\" x=\"159.033203\"/>\n",
" <use xlink:href=\"#DejaVuSans-30\" x=\"222.65625\"/>\n",
" </g>\n",
" </g>\n",
" </g>\n",
" </g>\n",
" <g id=\"patch_3\">\n",
" <path d=\"M 39.228125 141.20925 L 39.228125 32.48925 \" style=\"fill: none; stroke: #000000; stroke-width: 0.8; stroke-linejoin: miter; stroke-linecap: square\"/>\n",
" </g>\n",
" <g id=\"patch_4\">\n",
" <path d=\"M 374.028125 141.20925 L 374.028125 32.48925 \" style=\"fill: none; stroke: #000000; stroke-width: 0.8; stroke-linejoin: miter; stroke-linecap: square\"/>\n",
" </g>\n",
" <g id=\"patch_5\">\n",
" <path d=\"M 39.228125 141.20925 L 374.028125 141.20925 \" style=\"fill: none; stroke: #000000; stroke-width: 0.8; stroke-linejoin: miter; stroke-linecap: square\"/>\n",
" </g>\n",
" <g id=\"patch_6\">\n",
" <path d=\"M 39.228125 32.48925 L 374.028125 32.48925 \" style=\"fill: none; stroke: #000000; stroke-width: 0.8; stroke-linejoin: miter; stroke-linecap: square\"/>\n",
" </g>\n",
" <g id=\"text_19\">\n",
" <!-- theta_y_true -->\n",
" <g transform=\"translate(168.888125 12.718125)scale(0.12 -0.12)\">\n",
" <defs>\n",
" <path id=\"DejaVuSans-74\" d=\"M 1172 4494 L 1172 3500 L 2356 3500 L 2356 3053 L 1172 3053 L 1172 1153 Q 1172 725 1289 603 Q 1406 481 1766 481 L 2356 481 L 2356 0 L 1766 0 Q 1100 0 847 248 Q 594 497 594 1153 L 594 3053 L 172 3053 L 172 3500 L 594 3500 L 594 4494 L 1172 4494 z \" transform=\"scale(0.015625)\"/>\n",
" <path id=\"DejaVuSans-68\" d=\"M 3513 2113 L 3513 0 L 2938 0 L 2938 2094 Q 2938 2591 2744 2837 Q 2550 3084 2163 3084 Q 1697 3084 1428 2787 Q 1159 2491 1159 1978 L 1159 0 L 581 0 L 581 4863 L 1159 4863 L 1159 2956 Q 1366 3272 1645 3428 Q 1925 3584 2291 3584 Q 2894 3584 3203 3211 Q 3513 2838 3513 2113 z \" transform=\"scale(0.015625)\"/>\n",
" <path id=\"DejaVuSans-65\" d=\"M 3597 1894 L 3597 1613 L 953 1613 Q 991 1019 1311 708 Q 1631 397 2203 397 Q 2534 397 2845 478 Q 3156 559 3463 722 L 3463 178 Q 3153 47 2828 -22 Q 2503 -91 2169 -91 Q 1331 -91 842 396 Q 353 884 353 1716 Q 353 2575 817 3079 Q 1281 3584 2069 3584 Q 2775 3584 3186 3129 Q 3597 2675 3597 1894 z M 3022 2063 Q 3016 2534 2758 2815 Q 2500 3097 2075 3097 Q 1594 3097 1305 2825 Q 1016 2553 972 2059 L 3022 2063 z \" transform=\"scale(0.015625)\"/>\n",
" <path id=\"DejaVuSans-61\" d=\"M 2194 1759 Q 1497 1759 1228 1600 Q 959 1441 959 1056 Q 959 750 1161 570 Q 1363 391 1709 391 Q 2188 391 2477 730 Q 2766 1069 2766 1631 L 2766 1759 L 2194 1759 z M 3341 1997 L 3341 0 L 2766 0 L 2766 531 Q 2569 213 2275 61 Q 1981 -91 1556 -91 Q 1019 -91 701 211 Q 384 513 384 1019 Q 384 1609 779 1909 Q 1175 2209 1959 2209 L 2766 2209 L 2766 2266 Q 2766 2663 2505 2880 Q 2244 3097 1772 3097 Q 1472 3097 1187 3025 Q 903 2953 641 2809 L 641 3341 Q 956 3463 1253 3523 Q 1550 3584 1831 3584 Q 2591 3584 2966 3190 Q 3341 2797 3341 1997 z \" transform=\"scale(0.015625)\"/>\n",
" <path id=\"DejaVuSans-5f\" d=\"M 3263 -1063 L 3263 -1509 L -63 -1509 L -63 -1063 L 3263 -1063 z \" transform=\"scale(0.015625)\"/>\n",
" <path id=\"DejaVuSans-79\" d=\"M 2059 -325 Q 1816 -950 1584 -1140 Q 1353 -1331 966 -1331 L 506 -1331 L 506 -850 L 844 -850 Q 1081 -850 1212 -737 Q 1344 -625 1503 -206 L 1606 56 L 191 3500 L 800 3500 L 1894 763 L 2988 3500 L 3597 3500 L 2059 -325 z \" transform=\"scale(0.015625)\"/>\n",
" <path id=\"DejaVuSans-72\" d=\"M 2631 2963 Q 2534 3019 2420 3045 Q 2306 3072 2169 3072 Q 1681 3072 1420 2755 Q 1159 2438 1159 1844 L 1159 0 L 581 0 L 581 3500 L 1159 3500 L 1159 2956 Q 1341 3275 1631 3429 Q 1922 3584 2338 3584 Q 2397 3584 2469 3576 Q 2541 3569 2628 3553 L 2631 2963 z \" transform=\"scale(0.015625)\"/>\n",
" <path id=\"DejaVuSans-75\" d=\"M 544 1381 L 544 3500 L 1119 3500 L 1119 1403 Q 1119 906 1312 657 Q 1506 409 1894 409 Q 2359 409 2629 706 Q 2900 1003 2900 1516 L 2900 3500 L 3475 3500 L 3475 0 L 2900 0 L 2900 538 Q 2691 219 2414 64 Q 2138 -91 1772 -91 Q 1169 -91 856 284 Q 544 659 544 1381 z M 1991 3584 L 1991 3584 z \" transform=\"scale(0.015625)\"/>\n",
" </defs>\n",
" <use xlink:href=\"#DejaVuSans-74\"/>\n",
" <use xlink:href=\"#DejaVuSans-68\" x=\"39.208984\"/>\n",
" <use xlink:href=\"#DejaVuSans-65\" x=\"102.587891\"/>\n",
" <use xlink:href=\"#DejaVuSans-74\" x=\"164.111328\"/>\n",
" <use xlink:href=\"#DejaVuSans-61\" x=\"203.320312\"/>\n",
" <use xlink:href=\"#DejaVuSans-5f\" x=\"264.599609\"/>\n",
" <use xlink:href=\"#DejaVuSans-79\" x=\"314.599609\"/>\n",
" <use xlink:href=\"#DejaVuSans-5f\" x=\"373.779297\"/>\n",
" <use xlink:href=\"#DejaVuSans-74\" x=\"423.779297\"/>\n",
" <use xlink:href=\"#DejaVuSans-72\" x=\"462.988281\"/>\n",
" <use xlink:href=\"#DejaVuSans-75\" x=\"504.101562\"/>\n",
" <use xlink:href=\"#DejaVuSans-65\" x=\"567.480469\"/>\n",
" </g>\n",
" <!-- $\\mu=156.62$; $\\sigma=31.84$ -->\n",
" <g transform=\"translate(142.308125 26.48925)scale(0.12 -0.12)\">\n",
" <defs>\n",
" <path id=\"DejaVuSans-Oblique-3bc\" d=\"M -84 -1331 L 856 3500 L 1434 3500 L 1009 1322 Q 997 1256 987 1175 Q 978 1094 978 1013 Q 978 722 1161 565 Q 1344 409 1684 409 Q 2147 409 2431 671 Q 2716 934 2816 1459 L 3213 3500 L 3788 3500 L 3266 809 Q 3253 750 3248 706 Q 3244 663 3244 628 Q 3244 531 3283 486 Q 3322 441 3406 441 Q 3438 441 3492 456 Q 3547 472 3647 513 L 3559 50 Q 3422 -19 3297 -55 Q 3172 -91 3053 -91 Q 2847 -91 2730 40 Q 2613 172 2613 403 Q 2438 153 2195 31 Q 1953 -91 1625 -91 Q 1334 -91 1117 43 Q 900 178 831 397 L 494 -1331 L -84 -1331 z \" transform=\"scale(0.015625)\"/>\n",
" <path id=\"DejaVuSans-3d\" d=\"M 678 2906 L 4684 2906 L 4684 2381 L 678 2381 L 678 2906 z M 678 1631 L 4684 1631 L 4684 1100 L 678 1100 L 678 1631 z \" transform=\"scale(0.015625)\"/>\n",
" <path id=\"DejaVuSans-3b\" d=\"M 750 3309 L 1409 3309 L 1409 2516 L 750 2516 L 750 3309 z M 750 794 L 1409 794 L 1409 256 L 897 -744 L 494 -744 L 750 256 L 750 794 z \" transform=\"scale(0.015625)\"/>\n",
" <path id=\"DejaVuSans-20\" transform=\"scale(0.015625)\"/>\n",
" <path id=\"DejaVuSans-Oblique-3c3\" d=\"M 2219 3044 Q 1744 3044 1422 2700 Q 1081 2341 969 1747 Q 844 1119 1044 756 Q 1241 397 1706 397 Q 2166 397 2503 759 Q 2844 1122 2966 1747 Q 3075 2319 2881 2700 Q 2700 3044 2219 3044 z M 2309 3503 L 4219 3500 L 4106 2925 L 3463 2925 Q 3706 2438 3575 1747 Q 3406 888 2884 400 Q 2359 -91 1609 -91 Q 856 -91 525 400 Q 194 888 363 1747 Q 528 2609 1050 3097 Q 1484 3503 2309 3503 z \" transform=\"scale(0.015625)\"/>\n",
" <path id=\"DejaVuSans-33\" d=\"M 2597 2516 Q 3050 2419 3304 2112 Q 3559 1806 3559 1356 Q 3559 666 3084 287 Q 2609 -91 1734 -91 Q 1441 -91 1130 -33 Q 819 25 488 141 L 488 750 Q 750 597 1062 519 Q 1375 441 1716 441 Q 2309 441 2620 675 Q 2931 909 2931 1356 Q 2931 1769 2642 2001 Q 2353 2234 1838 2234 L 1294 2234 L 1294 2753 L 1863 2753 Q 2328 2753 2575 2939 Q 2822 3125 2822 3475 Q 2822 3834 2567 4026 Q 2313 4219 1838 4219 Q 1578 4219 1281 4162 Q 984 4106 628 3988 L 628 4550 Q 988 4650 1302 4700 Q 1616 4750 1894 4750 Q 2613 4750 3031 4423 Q 3450 4097 3450 3541 Q 3450 3153 3228 2886 Q 3006 2619 2597 2516 z \" transform=\"scale(0.015625)\"/>\n",
" </defs>\n",
" <use xlink:href=\"#DejaVuSans-Oblique-3bc\" transform=\"translate(0 0.78125)\"/>\n",
" <use xlink:href=\"#DejaVuSans-3d\" transform=\"translate(83.105469 0.78125)\"/>\n",
" <use xlink:href=\"#DejaVuSans-31\" transform=\"translate(186.376953 0.78125)\"/>\n",
" <use xlink:href=\"#DejaVuSans-35\" transform=\"translate(250 0.78125)\"/>\n",
" <use xlink:href=\"#DejaVuSans-36\" transform=\"translate(313.623047 0.78125)\"/>\n",
" <use xlink:href=\"#DejaVuSans-2e\" transform=\"translate(377.246094 0.78125)\"/>\n",
" <use xlink:href=\"#DejaVuSans-36\" transform=\"translate(409.033203 0.78125)\"/>\n",
" <use xlink:href=\"#DejaVuSans-32\" transform=\"translate(472.65625 0.78125)\"/>\n",
" <use xlink:href=\"#DejaVuSans-3b\" transform=\"translate(536.279297 0.78125)\"/>\n",
" <use xlink:href=\"#DejaVuSans-20\" transform=\"translate(569.970703 0.78125)\"/>\n",
" <use xlink:href=\"#DejaVuSans-Oblique-3c3\" transform=\"translate(601.757812 0.78125)\"/>\n",
" <use xlink:href=\"#DejaVuSans-3d\" transform=\"translate(684.619141 0.78125)\"/>\n",
" <use xlink:href=\"#DejaVuSans-33\" transform=\"translate(787.890625 0.78125)\"/>\n",
" <use xlink:href=\"#DejaVuSans-31\" transform=\"translate(851.513672 0.78125)\"/>\n",
" <use xlink:href=\"#DejaVuSans-2e\" transform=\"translate(915.136719 0.78125)\"/>\n",
" <use xlink:href=\"#DejaVuSans-38\" transform=\"translate(944.298828 0.78125)\"/>\n",
" <use xlink:href=\"#DejaVuSans-34\" transform=\"translate(1007.921875 0.78125)\"/>\n",
" </g>\n",
" </g>\n",
" </g>\n",
" </g>\n",
" <defs>\n",
" <clipPath id=\"p97aa4d8e52\">\n",
" <rect x=\"39.228125\" y=\"32.48925\" width=\"334.8\" height=\"108.72\"/>\n",
" </clipPath>\n",
" </defs>\n",
"</svg>\n",
"\n",
"</g>\n",
"<!-- y_true -->\n",
"<g id=\"node4\" class=\"node\">\n",
"<title>y_true</title>\n",
"<polygon fill=\"#f4a460\" stroke=\"#000000\" points=\"193,-185.5 92,-185.5 92,-144.5 193,-144.5 193,-185.5\"/>\n",
"<svg viewBox=\"0 0 132.1625 52.664375\" width=\"101px\" height=\"41px\" preserveAspectRatio=\"xMinYMin meet\" x=\"92\" y=\"-185.5\"> <metadata>\n",
" <rdf:RDF xmlns:dc=\"http://purl.org/dc/elements/1.1/\" xmlns:cc=\"http://creativecommons.org/ns#\" xmlns:rdf=\"http://www.w3.org/1999/02/22-rdf-syntax-ns#\">\n",
" <cc:Work>\n",
" <dc:type rdf:resource=\"http://purl.org/dc/dcmitype/StillImage\"/>\n",
" <dc:date>2022-07-11T02:49:42.962593</dc:date>\n",
" <dc:format>image/svg+xml</dc:format>\n",
" <dc:creator>\n",
" <cc:Agent>\n",
" <dc:title>Matplotlib v3.5.2, https://matplotlib.org/</dc:title>\n",
" </cc:Agent>\n",
" </dc:creator>\n",
" </cc:Work>\n",
" </rdf:RDF>\n",
" </metadata>\n",
" <defs>\n",
" <style type=\"text/css\">*{stroke-linejoin: round; stroke-linecap: butt}</style>\n",
" </defs>\n",
" <g id=\"figure_1\">\n",
" <g id=\"patch_1\">\n",
" <path d=\"M 0 52.664375 L 132.1625 52.664375 L 132.1625 0 L 0 0 z \" style=\"fill: #f4a460\"/>\n",
" </g>\n",
" <g id=\"axes_1\">\n",
" <g id=\"patch_2\">\n",
" <path d=\"M 16.9625 45.564375 L 128.5625 45.564375 L 128.5625 18.384375 L 16.9625 18.384375 z \" style=\"fill: #ffffff\"/>\n",
" </g>\n",
" <g id=\"patch_3\">\n",
" <path d=\"M 16.9625 45.564375 L 128.5625 45.564375 L 128.5625 33.484375 L 16.9625 33.484375 z \" clip-path=\"url(#pf46b7f68a1)\" style=\"fill: #8fbc8f\"/>\n",
" </g>\n",
" <g id=\"patch_4\">\n",
" <path d=\"M 16.9625 30.464375 L 16.9625 30.464375 L 16.9625 18.384375 L 16.9625 18.384375 z \" clip-path=\"url(#pf46b7f68a1)\" style=\"fill: #8fbc8f\"/>\n",
" </g>\n",
" <g id=\"matplotlib.axis_1\">\n",
" <g id=\"xtick_1\">\n",
" <g id=\"line2d_1\">\n",
" <path d=\"M 16.9625 45.564375 L 16.9625 18.384375 \" clip-path=\"url(#pf46b7f68a1)\" style=\"fill: none; stroke: #b0b0b0; stroke-width: 0.8; stroke-linecap: square\"/>\n",
" </g>\n",
" <g id=\"line2d_2\">\n",
" <defs>\n",
" <path id=\"m273bb4c0b1\" d=\"M 0 0 L 0 3.5 \" style=\"stroke: #000000; stroke-width: 0.8\"/>\n",
" </defs>\n",
" <g>\n",
" <use xlink:href=\"#m273bb4c0b1\" x=\"16.9625\" y=\"45.564375\" style=\"stroke: #000000; stroke-width: 0.8\"/>\n",
" </g>\n",
" </g>\n",
" </g>\n",
" <g id=\"xtick_2\">\n",
" <g id=\"line2d_3\">\n",
" <path d=\"M 72.7625 45.564375 L 72.7625 18.384375 \" clip-path=\"url(#pf46b7f68a1)\" style=\"fill: none; stroke: #b0b0b0; stroke-width: 0.8; stroke-linecap: square\"/>\n",
" </g>\n",
" <g id=\"line2d_4\">\n",
" <g>\n",
" <use xlink:href=\"#m273bb4c0b1\" x=\"72.7625\" y=\"45.564375\" style=\"stroke: #000000; stroke-width: 0.8\"/>\n",
" </g>\n",
" </g>\n",
" </g>\n",
" <g id=\"xtick_3\">\n",
" <g id=\"line2d_5\">\n",
" <path d=\"M 128.5625 45.564375 L 128.5625 18.384375 \" clip-path=\"url(#pf46b7f68a1)\" style=\"fill: none; stroke: #b0b0b0; stroke-width: 0.8; stroke-linecap: square\"/>\n",
" </g>\n",
" <g id=\"line2d_6\">\n",
" <g>\n",
" <use xlink:href=\"#m273bb4c0b1\" x=\"128.5625\" y=\"45.564375\" style=\"stroke: #000000; stroke-width: 0.8\"/>\n",
" </g>\n",
" </g>\n",
" </g>\n",
" </g>\n",
" <g id=\"matplotlib.axis_2\">\n",
" <g id=\"ytick_1\">\n",
" <g id=\"line2d_7\">\n",
" <defs>\n",
" <path id=\"mcd1b502971\" d=\"M 0 0 L -3.5 0 \" style=\"stroke: #000000; stroke-width: 0.8\"/>\n",
" </defs>\n",
" <g>\n",
" <use xlink:href=\"#mcd1b502971\" x=\"16.9625\" y=\"39.524375\" style=\"stroke: #000000; stroke-width: 0.8\"/>\n",
" </g>\n",
" </g>\n",
" <g id=\"text_1\">\n",
" <!-- 1 -->\n",
" <g transform=\"translate(3.6 43.323594)scale(0.1 -0.1)\">\n",
" <defs>\n",
" <path id=\"DejaVuSans-31\" d=\"M 794 531 L 1825 531 L 1825 4091 L 703 3866 L 703 4441 L 1819 4666 L 2450 4666 L 2450 531 L 3481 531 L 3481 0 L 794 0 L 794 531 z \" transform=\"scale(0.015625)\"/>\n",
" </defs>\n",
" <use xlink:href=\"#DejaVuSans-31\"/>\n",
" </g>\n",
" </g>\n",
" </g>\n",
" <g id=\"ytick_2\">\n",
" <g id=\"line2d_8\">\n",
" <g>\n",
" <use xlink:href=\"#mcd1b502971\" x=\"16.9625\" y=\"24.424375\" style=\"stroke: #000000; stroke-width: 0.8\"/>\n",
" </g>\n",
" </g>\n",
" <g id=\"text_2\">\n",
" <!-- 0 -->\n",
" <g transform=\"translate(3.6 28.223594)scale(0.1 -0.1)\">\n",
" <defs>\n",
" <path id=\"DejaVuSans-30\" d=\"M 2034 4250 Q 1547 4250 1301 3770 Q 1056 3291 1056 2328 Q 1056 1369 1301 889 Q 1547 409 2034 409 Q 2525 409 2770 889 Q 3016 1369 3016 2328 Q 3016 3291 2770 3770 Q 2525 4250 2034 4250 z M 2034 4750 Q 2819 4750 3233 4129 Q 3647 3509 3647 2328 Q 3647 1150 3233 529 Q 2819 -91 2034 -91 Q 1250 -91 836 529 Q 422 1150 422 2328 Q 422 3509 836 4129 Q 1250 4750 2034 4750 z \" transform=\"scale(0.015625)\"/>\n",
" </defs>\n",
" <use xlink:href=\"#DejaVuSans-30\"/>\n",
" </g>\n",
" </g>\n",
" </g>\n",
" </g>\n",
" <g id=\"patch_5\">\n",
" <path d=\"M 16.9625 45.564375 L 16.9625 18.384375 \" style=\"fill: none; stroke: #000000; stroke-width: 0.8; stroke-linejoin: miter; stroke-linecap: square\"/>\n",
" </g>\n",
" <g id=\"patch_6\">\n",
" <path d=\"M 128.5625 45.564375 L 128.5625 18.384375 \" style=\"fill: none; stroke: #000000; stroke-width: 0.8; stroke-linejoin: miter; stroke-linecap: square\"/>\n",
" </g>\n",
" <g id=\"patch_7\">\n",
" <path d=\"M 16.9625 45.564375 L 128.5625 45.564375 \" style=\"fill: none; stroke: #000000; stroke-width: 0.8; stroke-linejoin: miter; stroke-linecap: square\"/>\n",
" </g>\n",
" <g id=\"patch_8\">\n",
" <path d=\"M 16.9625 18.384375 L 128.5625 18.384375 \" style=\"fill: none; stroke: #000000; stroke-width: 0.8; stroke-linejoin: miter; stroke-linecap: square\"/>\n",
" </g>\n",
" <g id=\"text_3\">\n",
" <!-- 100.00% -->\n",
" <g transform=\"translate(84.070312 43.484688)scale(0.1 -0.1)\">\n",
" <defs>\n",
" <path id=\"DejaVuSans-2e\" d=\"M 684 794 L 1344 794 L 1344 0 L 684 0 L 684 794 z \" transform=\"scale(0.015625)\"/>\n",
" <path id=\"DejaVuSans-25\" d=\"M 4653 2053 Q 4381 2053 4226 1822 Q 4072 1591 4072 1178 Q 4072 772 4226 539 Q 4381 306 4653 306 Q 4919 306 5073 539 Q 5228 772 5228 1178 Q 5228 1588 5073 1820 Q 4919 2053 4653 2053 z M 4653 2450 Q 5147 2450 5437 2106 Q 5728 1763 5728 1178 Q 5728 594 5436 251 Q 5144 -91 4653 -91 Q 4153 -91 3862 251 Q 3572 594 3572 1178 Q 3572 1766 3864 2108 Q 4156 2450 4653 2450 z M 1428 4353 Q 1159 4353 1004 4120 Q 850 3888 850 3481 Q 850 3069 1003 2837 Q 1156 2606 1428 2606 Q 1700 2606 1854 2837 Q 2009 3069 2009 3481 Q 2009 3884 1853 4118 Q 1697 4353 1428 4353 z M 4250 4750 L 4750 4750 L 1831 -91 L 1331 -91 L 4250 4750 z M 1428 4750 Q 1922 4750 2215 4408 Q 2509 4066 2509 3481 Q 2509 2891 2217 2550 Q 1925 2209 1428 2209 Q 931 2209 642 2551 Q 353 2894 353 3481 Q 353 4063 643 4406 Q 934 4750 1428 4750 z \" transform=\"scale(0.015625)\"/>\n",
" </defs>\n",
" <use xlink:href=\"#DejaVuSans-31\"/>\n",
" <use xlink:href=\"#DejaVuSans-30\" x=\"63.623047\"/>\n",
" <use xlink:href=\"#DejaVuSans-30\" x=\"127.246094\"/>\n",
" <use xlink:href=\"#DejaVuSans-2e\" x=\"190.869141\"/>\n",
" <use xlink:href=\"#DejaVuSans-30\" x=\"222.65625\"/>\n",
" <use xlink:href=\"#DejaVuSans-30\" x=\"286.279297\"/>\n",
" <use xlink:href=\"#DejaVuSans-25\" x=\"349.902344\"/>\n",
" </g>\n",
" </g>\n",
" <g id=\"text_4\">\n",
" <!-- y_true -->\n",
" <g transform=\"translate(53.898125 12.384375)scale(0.12 -0.12)\">\n",
" <defs>\n",
" <path id=\"DejaVuSans-79\" d=\"M 2059 -325 Q 1816 -950 1584 -1140 Q 1353 -1331 966 -1331 L 506 -1331 L 506 -850 L 844 -850 Q 1081 -850 1212 -737 Q 1344 -625 1503 -206 L 1606 56 L 191 3500 L 800 3500 L 1894 763 L 2988 3500 L 3597 3500 L 2059 -325 z \" transform=\"scale(0.015625)\"/>\n",
" <path id=\"DejaVuSans-5f\" d=\"M 3263 -1063 L 3263 -1509 L -63 -1509 L -63 -1063 L 3263 -1063 z \" transform=\"scale(0.015625)\"/>\n",
" <path id=\"DejaVuSans-74\" d=\"M 1172 4494 L 1172 3500 L 2356 3500 L 2356 3053 L 1172 3053 L 1172 1153 Q 1172 725 1289 603 Q 1406 481 1766 481 L 2356 481 L 2356 0 L 1766 0 Q 1100 0 847 248 Q 594 497 594 1153 L 594 3053 L 172 3053 L 172 3500 L 594 3500 L 594 4494 L 1172 4494 z \" transform=\"scale(0.015625)\"/>\n",
" <path id=\"DejaVuSans-72\" d=\"M 2631 2963 Q 2534 3019 2420 3045 Q 2306 3072 2169 3072 Q 1681 3072 1420 2755 Q 1159 2438 1159 1844 L 1159 0 L 581 0 L 581 3500 L 1159 3500 L 1159 2956 Q 1341 3275 1631 3429 Q 1922 3584 2338 3584 Q 2397 3584 2469 3576 Q 2541 3569 2628 3553 L 2631 2963 z \" transform=\"scale(0.015625)\"/>\n",
" <path id=\"DejaVuSans-75\" d=\"M 544 1381 L 544 3500 L 1119 3500 L 1119 1403 Q 1119 906 1312 657 Q 1506 409 1894 409 Q 2359 409 2629 706 Q 2900 1003 2900 1516 L 2900 3500 L 3475 3500 L 3475 0 L 2900 0 L 2900 538 Q 2691 219 2414 64 Q 2138 -91 1772 -91 Q 1169 -91 856 284 Q 544 659 544 1381 z M 1991 3584 L 1991 3584 z \" transform=\"scale(0.015625)\"/>\n",
" <path id=\"DejaVuSans-65\" d=\"M 3597 1894 L 3597 1613 L 953 1613 Q 991 1019 1311 708 Q 1631 397 2203 397 Q 2534 397 2845 478 Q 3156 559 3463 722 L 3463 178 Q 3153 47 2828 -22 Q 2503 -91 2169 -91 Q 1331 -91 842 396 Q 353 884 353 1716 Q 353 2575 817 3079 Q 1281 3584 2069 3584 Q 2775 3584 3186 3129 Q 3597 2675 3597 1894 z M 3022 2063 Q 3016 2534 2758 2815 Q 2500 3097 2075 3097 Q 1594 3097 1305 2825 Q 1016 2553 972 2059 L 3022 2063 z \" transform=\"scale(0.015625)\"/>\n",
" </defs>\n",
" <use xlink:href=\"#DejaVuSans-79\"/>\n",
" <use xlink:href=\"#DejaVuSans-5f\" x=\"59.179688\"/>\n",
" <use xlink:href=\"#DejaVuSans-74\" x=\"109.179688\"/>\n",
" <use xlink:href=\"#DejaVuSans-72\" x=\"148.388672\"/>\n",
" <use xlink:href=\"#DejaVuSans-75\" x=\"189.501953\"/>\n",
" <use xlink:href=\"#DejaVuSans-65\" x=\"252.880859\"/>\n",
" </g>\n",
" </g>\n",
" </g>\n",
" </g>\n",
" <defs>\n",
" <clipPath id=\"pf46b7f68a1\">\n",
" <rect x=\"16.9625\" y=\"18.384375\" width=\"111.6\" height=\"27.18\"/>\n",
" </clipPath>\n",
" </defs>\n",
"</svg>\n",
"\n",
"</g>\n",
"<!-- theta_y_true&#45;&gt;y_true -->\n",
"<g id=\"edge2\" class=\"edge\">\n",
"<title>theta_y_true-&gt;y_true</title>\n",
"<g id=\"a_edge2\"><a xlink:title=\"(0, 3):\">\n",
"<path fill=\"none\" stroke=\"#4a4a4a\" d=\"M142.5,-265.8688C142.5,-241.8041 142.5,-215.6355 142.5,-195.984\"/>\n",
"<polygon fill=\"#4a4a4a\" stroke=\"#4a4a4a\" points=\"146.0001,-195.7917 142.5,-185.7917 139.0001,-195.7918 146.0001,-195.7917\"/>\n",
"</a>\n",
"</g>\n",
"</g>\n",
"<!-- theta_fpr -->\n",
"<g id=\"node2\" class=\"node\">\n",
"<title>theta_fpr</title>\n",
"<polygon fill=\"#f4a460\" stroke=\"#000000\" points=\"491.5,-230 211.5,-230 211.5,-100 491.5,-100 491.5,-230\"/>\n",
"<svg viewBox=\"0 0 371.265625 170.89675\" width=\"280px\" height=\"130px\" preserveAspectRatio=\"xMinYMin meet\" x=\"211.5\" y=\"-230\"> <metadata>\n",
" <rdf:RDF xmlns:dc=\"http://purl.org/dc/elements/1.1/\" xmlns:cc=\"http://creativecommons.org/ns#\" xmlns:rdf=\"http://www.w3.org/1999/02/22-rdf-syntax-ns#\">\n",
" <cc:Work>\n",
" <dc:type rdf:resource=\"http://purl.org/dc/dcmitype/StillImage\"/>\n",
" <dc:date>2022-07-11T02:49:42.561042</dc:date>\n",
" <dc:format>image/svg+xml</dc:format>\n",
" <dc:creator>\n",
" <cc:Agent>\n",
" <dc:title>Matplotlib v3.5.2, https://matplotlib.org/</dc:title>\n",
" </cc:Agent>\n",
" </dc:creator>\n",
" </cc:Work>\n",
" </rdf:RDF>\n",
" </metadata>\n",
" <defs>\n",
" <style type=\"text/css\">*{stroke-linejoin: round; stroke-linecap: butt}</style>\n",
" </defs>\n",
" <g id=\"figure_1\">\n",
" <g id=\"patch_1\">\n",
" <path d=\"M 0 170.89675 L 371.265625 170.89675 L 371.265625 0 L 0 0 z \" style=\"fill: #f4a460\"/>\n",
" </g>\n",
" <g id=\"axes_1\">\n",
" <g id=\"patch_2\">\n",
" <path d=\"M 32.865625 141.20925 L 367.665625 141.20925 L 367.665625 32.48925 L 32.865625 32.48925 z \" style=\"fill: #ffffff\"/>\n",
" </g>\n",
" <g id=\"PolyCollection_1\">\n",
" <defs>\n",
" <path id=\"m3652464a29\" d=\"M 32.865625 -29.6875 L 32.865625 -29.6875 L 33.985357 -29.6875 L 35.10509 -29.6875 L 36.224822 -133.230357 L 37.344555 -29.6875 L 38.464287 -29.6875 L 39.58402 -29.6875 L 40.703752 -29.6875 L 41.823485 -29.6875 L 42.943217 -29.6875 L 44.062949 -29.6875 L 45.182682 -29.6875 L 46.302414 -29.6875 L 47.422147 -29.6875 L 48.541879 -29.6875 L 49.661612 -29.6875 L 50.781344 -29.6875 L 51.901077 -29.6875 L 53.020809 -29.6875 L 54.140541 -29.6875 L 55.260274 -29.6875 L 56.380006 -29.6875 L 57.499739 -29.6875 L 58.619471 -29.6875 L 59.739204 -29.6875 L 60.858936 -29.6875 L 61.978668 -29.6875 L 63.098401 -29.6875 L 64.218133 -29.6875 L 65.337866 -29.6875 L 66.457598 -29.6875 L 67.577331 -29.6875 L 68.697063 -29.6875 L 69.816796 -29.6875 L 70.936528 -29.6875 L 72.05626 -29.6875 L 73.175993 -29.6875 L 74.295725 -29.6875 L 75.415458 -29.6875 L 76.53519 -29.6875 L 77.654923 -29.6875 L 78.774655 -29.6875 L 79.894388 -29.6875 L 81.01412 -29.6875 L 82.133852 -29.6875 L 83.253585 -29.6875 L 84.373317 -29.6875 L 85.49305 -29.6875 L 86.612782 -29.6875 L 87.732515 -29.6875 L 88.852247 -29.6875 L 89.97198 -29.6875 L 91.091712 -29.6875 L 92.211444 -29.6875 L 93.331177 -29.6875 L 94.450909 -29.6875 L 95.570642 -29.6875 L 96.690374 -29.6875 L 97.810107 -29.6875 L 98.929839 -29.6875 L 100.049571 -29.6875 L 101.169304 -29.6875 L 102.289036 -29.6875 L 103.408769 -29.6875 L 104.528501 -29.6875 L 105.648234 -29.6875 L 106.767966 -29.6875 L 107.887699 -29.6875 L 109.007431 -29.6875 L 110.127163 -29.6875 L 111.246896 -29.6875 L 112.366628 -29.6875 L 113.486361 -29.6875 L 114.606093 -29.6875 L 115.725826 -29.6875 L 116.845558 -29.6875 L 117.965291 -29.6875 L 119.085023 -29.6875 L 120.204755 -29.6875 L 121.324488 -29.6875 L 122.44422 -29.6875 L 123.563953 -29.6875 L 124.683685 -29.6875 L 125.803418 -29.6875 L 126.92315 -29.6875 L 128.042883 -29.6875 L 129.162615 -29.6875 L 130.282347 -29.6875 L 131.40208 -29.6875 L 132.521812 -29.6875 L 133.641545 -29.6875 L 134.761277 -29.6875 L 135.88101 -29.6875 L 137.000742 -29.6875 L 138.120474 -29.6875 L 139.240207 -29.6875 L 140.359939 -29.6875 L 141.479672 -29.6875 L 142.599404 -29.6875 L 143.719137 -29.6875 L 144.838869 -29.6875 L 145.958602 -29.6875 L 147.078334 -29.6875 L 148.198066 -29.6875 L 149.317799 -29.6875 L 150.437531 -29.6875 L 151.557264 -29.6875 L 152.676996 -29.6875 L 153.796729 -29.6875 L 154.916461 -29.6875 L 156.036194 -29.6875 L 157.155926 -29.6875 L 158.275658 -29.6875 L 159.395391 -29.6875 L 160.515123 -29.6875 L 161.634856 -29.6875 L 162.754588 -29.6875 L 163.874321 -29.6875 L 164.994053 -29.6875 L 166.113786 -29.6875 L 167.233518 -29.6875 L 168.35325 -29.6875 L 169.472983 -29.6875 L 170.592715 -29.6875 L 171.712448 -29.6875 L 172.83218 -29.6875 L 173.951913 -29.6875 L 175.071645 -29.6875 L 176.191378 -29.6875 L 177.31111 -29.6875 L 178.430842 -29.6875 L 179.550575 -29.6875 L 180.670307 -29.6875 L 181.79004 -29.6875 L 182.909772 -29.6875 L 184.029505 -29.6875 L 185.149237 -29.6875 L 186.268969 -29.6875 L 187.388702 -29.6875 L 188.508434 -29.6875 L 189.628167 -29.6875 L 190.747899 -29.6875 L 191.867632 -29.6875 L 192.987364 -29.6875 L 194.107097 -29.6875 L 195.226829 -29.6875 L 196.346561 -29.6875 L 197.466294 -29.6875 L 198.586026 -29.6875 L 199.705759 -29.6875 L 200.825491 -29.6875 L 201.945224 -29.6875 L 203.064956 -29.6875 L 204.184689 -29.6875 L 205.304421 -29.6875 L 206.424153 -29.6875 L 207.543886 -29.6875 L 208.663618 -29.6875 L 209.783351 -29.6875 L 210.903083 -29.6875 L 212.022816 -29.6875 L 213.142548 -29.6875 L 214.262281 -29.6875 L 215.382013 -29.6875 L 216.501745 -29.6875 L 217.621478 -29.6875 L 218.74121 -29.6875 L 219.860943 -29.6875 L 220.980675 -29.6875 L 222.100408 -29.6875 L 223.22014 -29.6875 L 224.339872 -29.6875 L 225.459605 -29.6875 L 226.579337 -29.6875 L 227.69907 -29.6875 L 228.818802 -29.6875 L 229.938535 -29.6875 L 231.058267 -29.6875 L 232.178 -29.6875 L 233.297732 -29.6875 L 234.417464 -29.6875 L 235.537197 -29.6875 L 236.656929 -29.6875 L 237.776662 -29.6875 L 238.896394 -29.6875 L 240.016127 -29.6875 L 241.135859 -29.6875 L 242.255592 -29.6875 L 243.375324 -29.6875 L 244.495056 -29.6875 L 245.614789 -29.6875 L 246.734521 -29.6875 L 247.854254 -29.6875 L 248.973986 -29.6875 L 250.093719 -29.6875 L 251.213451 -29.6875 L 252.333184 -29.6875 L 253.452916 -29.6875 L 254.572648 -29.6875 L 255.692381 -29.6875 L 256.812113 -29.6875 L 257.931846 -29.6875 L 259.051578 -29.6875 L 260.171311 -29.6875 L 261.291043 -29.6875 L 262.410776 -29.6875 L 263.530508 -29.6875 L 264.65024 -29.6875 L 265.769973 -29.6875 L 266.889705 -29.6875 L 268.009438 -29.6875 L 269.12917 -29.6875 L 270.248903 -29.6875 L 271.368635 -29.6875 L 272.488367 -29.6875 L 273.6081 -29.6875 L 274.727832 -29.6875 L 275.847565 -29.6875 L 276.967297 -29.6875 L 278.08703 -29.6875 L 279.206762 -29.6875 L 280.326495 -29.6875 L 281.446227 -29.6875 L 282.565959 -29.6875 L 283.685692 -29.6875 L 284.805424 -29.6875 L 285.925157 -29.6875 L 287.044889 -29.6875 L 288.164622 -29.6875 L 289.284354 -29.6875 L 290.404087 -29.6875 L 291.523819 -29.6875 L 292.643551 -29.6875 L 293.763284 -29.6875 L 294.883016 -29.6875 L 296.002749 -29.6875 L 297.122481 -29.6875 L 298.242214 -29.6875 L 299.361946 -29.6875 L 300.481679 -29.6875 L 301.601411 -29.6875 L 302.721143 -29.6875 L 303.840876 -29.6875 L 304.960608 -29.6875 L 306.080341 -29.6875 L 307.200073 -29.6875 L 308.319806 -29.6875 L 309.439538 -29.6875 L 310.55927 -29.6875 L 311.679003 -29.6875 L 312.798735 -29.6875 L 313.918468 -29.6875 L 315.0382 -29.6875 L 316.157933 -29.6875 L 317.277665 -29.6875 L 318.397398 -29.6875 L 319.51713 -29.6875 L 320.636862 -29.6875 L 321.756595 -29.6875 L 322.876327 -29.6875 L 323.99606 -29.6875 L 325.115792 -29.6875 L 326.235525 -29.6875 L 327.355257 -29.6875 L 328.47499 -29.6875 L 329.594722 -29.6875 L 330.714454 -29.6875 L 331.834187 -29.6875 L 332.953919 -29.6875 L 334.073652 -29.6875 L 335.193384 -29.6875 L 336.313117 -29.6875 L 337.432849 -29.6875 L 338.552582 -29.6875 L 339.672314 -29.6875 L 340.792046 -29.6875 L 341.911779 -29.6875 L 343.031511 -29.6875 L 344.151244 -29.6875 L 345.270976 -29.6875 L 346.390709 -29.6875 L 347.510441 -29.6875 L 348.630173 -29.6875 L 349.749906 -29.6875 L 350.869638 -29.6875 L 351.989371 -29.6875 L 353.109103 -29.6875 L 354.228836 -29.6875 L 355.348568 -29.6875 L 356.468301 -29.6875 L 357.588033 -29.6875 L 358.707765 -29.6875 L 359.827498 -29.6875 L 360.94723 -29.6875 L 362.066963 -29.6875 L 363.186695 -29.6875 L 364.306428 -29.6875 L 365.42616 -29.6875 L 366.545893 -29.6875 L 367.665625 -29.6875 L 367.665625 -29.6875 L 367.665625 -29.6875 L 366.545893 -29.6875 L 365.42616 -29.6875 L 364.306428 -29.6875 L 363.186695 -29.6875 L 362.066963 -29.6875 L 360.94723 -29.6875 L 359.827498 -29.6875 L 358.707765 -29.6875 L 357.588033 -29.6875 L 356.468301 -29.6875 L 355.348568 -29.6875 L 354.228836 -29.6875 L 353.109103 -29.6875 L 351.989371 -29.6875 L 350.869638 -29.6875 L 349.749906 -29.6875 L 348.630173 -29.6875 L 347.510441 -29.6875 L 346.390709 -29.6875 L 345.270976 -29.6875 L 344.151244 -29.6875 L 343.031511 -29.6875 L 341.911779 -29.6875 L 340.792046 -29.6875 L 339.672314 -29.6875 L 338.552582 -29.6875 L 337.432849 -29.6875 L 336.313117 -29.6875 L 335.193384 -29.6875 L 334.073652 -29.6875 L 332.953919 -29.6875 L 331.834187 -29.6875 L 330.714454 -29.6875 L 329.594722 -29.6875 L 328.47499 -29.6875 L 327.355257 -29.6875 L 326.235525 -29.6875 L 325.115792 -29.6875 L 323.99606 -29.6875 L 322.876327 -29.6875 L 321.756595 -29.6875 L 320.636862 -29.6875 L 319.51713 -29.6875 L 318.397398 -29.6875 L 317.277665 -29.6875 L 316.157933 -29.6875 L 315.0382 -29.6875 L 313.918468 -29.6875 L 312.798735 -29.6875 L 311.679003 -29.6875 L 310.55927 -29.6875 L 309.439538 -29.6875 L 308.319806 -29.6875 L 307.200073 -29.6875 L 306.080341 -29.6875 L 304.960608 -29.6875 L 303.840876 -29.6875 L 302.721143 -29.6875 L 301.601411 -29.6875 L 300.481679 -29.6875 L 299.361946 -29.6875 L 298.242214 -29.6875 L 297.122481 -29.6875 L 296.002749 -29.6875 L 294.883016 -29.6875 L 293.763284 -29.6875 L 292.643551 -29.6875 L 291.523819 -29.6875 L 290.404087 -29.6875 L 289.284354 -29.6875 L 288.164622 -29.6875 L 287.044889 -29.6875 L 285.925157 -29.6875 L 284.805424 -29.6875 L 283.685692 -29.6875 L 282.565959 -29.6875 L 281.446227 -29.6875 L 280.326495 -29.6875 L 279.206762 -29.6875 L 278.08703 -29.6875 L 276.967297 -29.6875 L 275.847565 -29.6875 L 274.727832 -29.6875 L 273.6081 -29.6875 L 272.488367 -29.6875 L 271.368635 -29.6875 L 270.248903 -29.6875 L 269.12917 -29.6875 L 268.009438 -29.6875 L 266.889705 -29.6875 L 265.769973 -29.6875 L 264.65024 -29.6875 L 263.530508 -29.6875 L 262.410776 -29.6875 L 261.291043 -29.6875 L 260.171311 -29.6875 L 259.051578 -29.6875 L 257.931846 -29.6875 L 256.812113 -29.6875 L 255.692381 -29.6875 L 254.572648 -29.6875 L 253.452916 -29.6875 L 252.333184 -29.6875 L 251.213451 -29.6875 L 250.093719 -29.6875 L 248.973986 -29.6875 L 247.854254 -29.6875 L 246.734521 -29.6875 L 245.614789 -29.6875 L 244.495056 -29.6875 L 243.375324 -29.6875 L 242.255592 -29.6875 L 241.135859 -29.6875 L 240.016127 -29.6875 L 238.896394 -29.6875 L 237.776662 -29.6875 L 236.656929 -29.6875 L 235.537197 -29.6875 L 234.417464 -29.6875 L 233.297732 -29.6875 L 232.178 -29.6875 L 231.058267 -29.6875 L 229.938535 -29.6875 L 228.818802 -29.6875 L 227.69907 -29.6875 L 226.579337 -29.6875 L 225.459605 -29.6875 L 224.339872 -29.6875 L 223.22014 -29.6875 L 222.100408 -29.6875 L 220.980675 -29.6875 L 219.860943 -29.6875 L 218.74121 -29.6875 L 217.621478 -29.6875 L 216.501745 -29.6875 L 215.382013 -29.6875 L 214.262281 -29.6875 L 213.142548 -29.6875 L 212.022816 -29.6875 L 210.903083 -29.6875 L 209.783351 -29.6875 L 208.663618 -29.6875 L 207.543886 -29.6875 L 206.424153 -29.6875 L 205.304421 -29.6875 L 204.184689 -29.6875 L 203.064956 -29.6875 L 201.945224 -29.6875 L 200.825491 -29.6875 L 199.705759 -29.6875 L 198.586026 -29.6875 L 197.466294 -29.6875 L 196.346561 -29.6875 L 195.226829 -29.6875 L 194.107097 -29.6875 L 192.987364 -29.6875 L 191.867632 -29.6875 L 190.747899 -29.6875 L 189.628167 -29.6875 L 188.508434 -29.6875 L 187.388702 -29.6875 L 186.268969 -29.6875 L 185.149237 -29.6875 L 184.029505 -29.6875 L 182.909772 -29.6875 L 181.79004 -29.6875 L 180.670307 -29.6875 L 179.550575 -29.6875 L 178.430842 -29.6875 L 177.31111 -29.6875 L 176.191378 -29.6875 L 175.071645 -29.6875 L 173.951913 -29.6875 L 172.83218 -29.6875 L 171.712448 -29.6875 L 170.592715 -29.6875 L 169.472983 -29.6875 L 168.35325 -29.6875 L 167.233518 -29.6875 L 166.113786 -29.6875 L 164.994053 -29.6875 L 163.874321 -29.6875 L 162.754588 -29.6875 L 161.634856 -29.6875 L 160.515123 -29.6875 L 159.395391 -29.6875 L 158.275658 -29.6875 L 157.155926 -29.6875 L 156.036194 -29.6875 L 154.916461 -29.6875 L 153.796729 -29.6875 L 152.676996 -29.6875 L 151.557264 -29.6875 L 150.437531 -29.6875 L 149.317799 -29.6875 L 148.198066 -29.6875 L 147.078334 -29.6875 L 145.958602 -29.6875 L 144.838869 -29.6875 L 143.719137 -29.6875 L 142.599404 -29.6875 L 141.479672 -29.6875 L 140.359939 -29.6875 L 139.240207 -29.6875 L 138.120474 -29.6875 L 137.000742 -29.6875 L 135.88101 -29.6875 L 134.761277 -29.6875 L 133.641545 -29.6875 L 132.521812 -29.6875 L 131.40208 -29.6875 L 130.282347 -29.6875 L 129.162615 -29.6875 L 128.042883 -29.6875 L 126.92315 -29.6875 L 125.803418 -29.6875 L 124.683685 -29.6875 L 123.563953 -29.6875 L 122.44422 -29.6875 L 121.324488 -29.6875 L 120.204755 -29.6875 L 119.085023 -29.6875 L 117.965291 -29.6875 L 116.845558 -29.6875 L 115.725826 -29.6875 L 114.606093 -29.6875 L 113.486361 -29.6875 L 112.366628 -29.6875 L 111.246896 -29.6875 L 110.127163 -29.6875 L 109.007431 -29.6875 L 107.887699 -29.6875 L 106.767966 -29.6875 L 105.648234 -29.6875 L 104.528501 -29.6875 L 103.408769 -29.6875 L 102.289036 -29.6875 L 101.169304 -29.6875 L 100.049571 -29.6875 L 98.929839 -29.6875 L 97.810107 -29.6875 L 96.690374 -29.6875 L 95.570642 -29.6875 L 94.450909 -29.6875 L 93.331177 -29.6875 L 92.211444 -29.6875 L 91.091712 -29.6875 L 89.97198 -29.6875 L 88.852247 -29.6875 L 87.732515 -29.6875 L 86.612782 -29.6875 L 85.49305 -29.6875 L 84.373317 -29.6875 L 83.253585 -29.6875 L 82.133852 -29.6875 L 81.01412 -29.6875 L 79.894388 -29.6875 L 78.774655 -29.6875 L 77.654923 -29.6875 L 76.53519 -29.6875 L 75.415458 -29.6875 L 74.295725 -29.6875 L 73.175993 -29.6875 L 72.05626 -29.6875 L 70.936528 -29.6875 L 69.816796 -29.6875 L 68.697063 -29.6875 L 67.577331 -29.6875 L 66.457598 -29.6875 L 65.337866 -29.6875 L 64.218133 -29.6875 L 63.098401 -29.6875 L 61.978668 -29.6875 L 60.858936 -29.6875 L 59.739204 -29.6875 L 58.619471 -29.6875 L 57.499739 -29.6875 L 56.380006 -29.6875 L 55.260274 -29.6875 L 54.140541 -29.6875 L 53.020809 -29.6875 L 51.901077 -29.6875 L 50.781344 -29.6875 L 49.661612 -29.6875 L 48.541879 -29.6875 L 47.422147 -29.6875 L 46.302414 -29.6875 L 45.182682 -29.6875 L 44.062949 -29.6875 L 42.943217 -29.6875 L 41.823485 -29.6875 L 40.703752 -29.6875 L 39.58402 -29.6875 L 38.464287 -29.6875 L 37.344555 -29.6875 L 36.224822 -29.6875 L 35.10509 -29.6875 L 33.985357 -29.6875 L 32.865625 -29.6875 z \" style=\"stroke: #8fbc8f\"/>\n",
" </defs>\n",
" <g clip-path=\"url(#p2ae3c09c8b)\">\n",
" <use xlink:href=\"#m3652464a29\" x=\"0\" y=\"170.89675\" style=\"fill: #8fbc8f; stroke: #8fbc8f\"/>\n",
" </g>\n",
" </g>\n",
" <g id=\"matplotlib.axis_1\">\n",
" <g id=\"xtick_1\">\n",
" <g id=\"line2d_1\">\n",
" <path d=\"M 32.865625 141.20925 L 32.865625 32.48925 \" clip-path=\"url(#p2ae3c09c8b)\" style=\"fill: none; stroke: #b0b0b0; stroke-width: 0.8; stroke-linecap: square\"/>\n",
" </g>\n",
" <g id=\"line2d_2\">\n",
" <defs>\n",
" <path id=\"m2470c4d2cb\" d=\"M 0 0 L 0 3.5 \" style=\"stroke: #000000; stroke-width: 0.8\"/>\n",
" </defs>\n",
" <g>\n",
" <use xlink:href=\"#m2470c4d2cb\" x=\"32.865625\" y=\"141.20925\" style=\"stroke: #000000; stroke-width: 0.8\"/>\n",
" </g>\n",
" </g>\n",
" <g id=\"text_1\">\n",
" <!-- 0 -->\n",
" <g transform=\"translate(35.625 154.57175)rotate(-90)scale(0.1 -0.1)\">\n",
" <defs>\n",
" <path id=\"DejaVuSans-30\" d=\"M 2034 4250 Q 1547 4250 1301 3770 Q 1056 3291 1056 2328 Q 1056 1369 1301 889 Q 1547 409 2034 409 Q 2525 409 2770 889 Q 3016 1369 3016 2328 Q 3016 3291 2770 3770 Q 2525 4250 2034 4250 z M 2034 4750 Q 2819 4750 3233 4129 Q 3647 3509 3647 2328 Q 3647 1150 3233 529 Q 2819 -91 2034 -91 Q 1250 -91 836 529 Q 422 1150 422 2328 Q 422 3509 836 4129 Q 1250 4750 2034 4750 z \" transform=\"scale(0.015625)\"/>\n",
" </defs>\n",
" <use xlink:href=\"#DejaVuSans-30\"/>\n",
" </g>\n",
" </g>\n",
" </g>\n",
" <g id=\"xtick_2\">\n",
" <g id=\"line2d_3\">\n",
" <path d=\"M 55.260274 141.20925 L 55.260274 32.48925 \" clip-path=\"url(#p2ae3c09c8b)\" style=\"fill: none; stroke: #b0b0b0; stroke-width: 0.8; stroke-linecap: square\"/>\n",
" </g>\n",
" <g id=\"line2d_4\">\n",
" <g>\n",
" <use xlink:href=\"#m2470c4d2cb\" x=\"55.260274\" y=\"141.20925\" style=\"stroke: #000000; stroke-width: 0.8\"/>\n",
" </g>\n",
" </g>\n",
" <g id=\"text_2\">\n",
" <!-- 20 -->\n",
" <g transform=\"translate(58.019649 160.93425)rotate(-90)scale(0.1 -0.1)\">\n",
" <defs>\n",
" <path id=\"DejaVuSans-32\" d=\"M 1228 531 L 3431 531 L 3431 0 L 469 0 L 469 531 Q 828 903 1448 1529 Q 2069 2156 2228 2338 Q 2531 2678 2651 2914 Q 2772 3150 2772 3378 Q 2772 3750 2511 3984 Q 2250 4219 1831 4219 Q 1534 4219 1204 4116 Q 875 4013 500 3803 L 500 4441 Q 881 4594 1212 4672 Q 1544 4750 1819 4750 Q 2544 4750 2975 4387 Q 3406 4025 3406 3419 Q 3406 3131 3298 2873 Q 3191 2616 2906 2266 Q 2828 2175 2409 1742 Q 1991 1309 1228 531 z \" transform=\"scale(0.015625)\"/>\n",
" </defs>\n",
" <use xlink:href=\"#DejaVuSans-32\"/>\n",
" <use xlink:href=\"#DejaVuSans-30\" x=\"63.623047\"/>\n",
" </g>\n",
" </g>\n",
" </g>\n",
" <g id=\"xtick_3\">\n",
" <g id=\"line2d_5\">\n",
" <path d=\"M 77.654923 141.20925 L 77.654923 32.48925 \" clip-path=\"url(#p2ae3c09c8b)\" style=\"fill: none; stroke: #b0b0b0; stroke-width: 0.8; stroke-linecap: square\"/>\n",
" </g>\n",
" <g id=\"line2d_6\">\n",
" <g>\n",
" <use xlink:href=\"#m2470c4d2cb\" x=\"77.654923\" y=\"141.20925\" style=\"stroke: #000000; stroke-width: 0.8\"/>\n",
" </g>\n",
" </g>\n",
" <g id=\"text_3\">\n",
" <!-- 40 -->\n",
" <g transform=\"translate(80.414298 160.93425)rotate(-90)scale(0.1 -0.1)\">\n",
" <defs>\n",
" <path id=\"DejaVuSans-34\" d=\"M 2419 4116 L 825 1625 L 2419 1625 L 2419 4116 z M 2253 4666 L 3047 4666 L 3047 1625 L 3713 1625 L 3713 1100 L 3047 1100 L 3047 0 L 2419 0 L 2419 1100 L 313 1100 L 313 1709 L 2253 4666 z \" transform=\"scale(0.015625)\"/>\n",
" </defs>\n",
" <use xlink:href=\"#DejaVuSans-34\"/>\n",
" <use xlink:href=\"#DejaVuSans-30\" x=\"63.623047\"/>\n",
" </g>\n",
" </g>\n",
" </g>\n",
" <g id=\"xtick_4\">\n",
" <g id=\"line2d_7\">\n",
" <path d=\"M 100.049571 141.20925 L 100.049571 32.48925 \" clip-path=\"url(#p2ae3c09c8b)\" style=\"fill: none; stroke: #b0b0b0; stroke-width: 0.8; stroke-linecap: square\"/>\n",
" </g>\n",
" <g id=\"line2d_8\">\n",
" <g>\n",
" <use xlink:href=\"#m2470c4d2cb\" x=\"100.049571\" y=\"141.20925\" style=\"stroke: #000000; stroke-width: 0.8\"/>\n",
" </g>\n",
" </g>\n",
" <g id=\"text_4\">\n",
" <!-- 60 -->\n",
" <g transform=\"translate(102.808946 160.93425)rotate(-90)scale(0.1 -0.1)\">\n",
" <defs>\n",
" <path id=\"DejaVuSans-36\" d=\"M 2113 2584 Q 1688 2584 1439 2293 Q 1191 2003 1191 1497 Q 1191 994 1439 701 Q 1688 409 2113 409 Q 2538 409 2786 701 Q 3034 994 3034 1497 Q 3034 2003 2786 2293 Q 2538 2584 2113 2584 z M 3366 4563 L 3366 3988 Q 3128 4100 2886 4159 Q 2644 4219 2406 4219 Q 1781 4219 1451 3797 Q 1122 3375 1075 2522 Q 1259 2794 1537 2939 Q 1816 3084 2150 3084 Q 2853 3084 3261 2657 Q 3669 2231 3669 1497 Q 3669 778 3244 343 Q 2819 -91 2113 -91 Q 1303 -91 875 529 Q 447 1150 447 2328 Q 447 3434 972 4092 Q 1497 4750 2381 4750 Q 2619 4750 2861 4703 Q 3103 4656 3366 4563 z \" transform=\"scale(0.015625)\"/>\n",
" </defs>\n",
" <use xlink:href=\"#DejaVuSans-36\"/>\n",
" <use xlink:href=\"#DejaVuSans-30\" x=\"63.623047\"/>\n",
" </g>\n",
" </g>\n",
" </g>\n",
" <g id=\"xtick_5\">\n",
" <g id=\"line2d_9\">\n",
" <path d=\"M 122.44422 141.20925 L 122.44422 32.48925 \" clip-path=\"url(#p2ae3c09c8b)\" style=\"fill: none; stroke: #b0b0b0; stroke-width: 0.8; stroke-linecap: square\"/>\n",
" </g>\n",
" <g id=\"line2d_10\">\n",
" <g>\n",
" <use xlink:href=\"#m2470c4d2cb\" x=\"122.44422\" y=\"141.20925\" style=\"stroke: #000000; stroke-width: 0.8\"/>\n",
" </g>\n",
" </g>\n",
" <g id=\"text_5\">\n",
" <!-- 80 -->\n",
" <g transform=\"translate(125.203595 160.93425)rotate(-90)scale(0.1 -0.1)\">\n",
" <defs>\n",
" <path id=\"DejaVuSans-38\" d=\"M 2034 2216 Q 1584 2216 1326 1975 Q 1069 1734 1069 1313 Q 1069 891 1326 650 Q 1584 409 2034 409 Q 2484 409 2743 651 Q 3003 894 3003 1313 Q 3003 1734 2745 1975 Q 2488 2216 2034 2216 z M 1403 2484 Q 997 2584 770 2862 Q 544 3141 544 3541 Q 544 4100 942 4425 Q 1341 4750 2034 4750 Q 2731 4750 3128 4425 Q 3525 4100 3525 3541 Q 3525 3141 3298 2862 Q 3072 2584 2669 2484 Q 3125 2378 3379 2068 Q 3634 1759 3634 1313 Q 3634 634 3220 271 Q 2806 -91 2034 -91 Q 1263 -91 848 271 Q 434 634 434 1313 Q 434 1759 690 2068 Q 947 2378 1403 2484 z M 1172 3481 Q 1172 3119 1398 2916 Q 1625 2713 2034 2713 Q 2441 2713 2670 2916 Q 2900 3119 2900 3481 Q 2900 3844 2670 4047 Q 2441 4250 2034 4250 Q 1625 4250 1398 4047 Q 1172 3844 1172 3481 z \" transform=\"scale(0.015625)\"/>\n",
" </defs>\n",
" <use xlink:href=\"#DejaVuSans-38\"/>\n",
" <use xlink:href=\"#DejaVuSans-30\" x=\"63.623047\"/>\n",
" </g>\n",
" </g>\n",
" </g>\n",
" <g id=\"xtick_6\">\n",
" <g id=\"line2d_11\">\n",
" <path d=\"M 144.838869 141.20925 L 144.838869 32.48925 \" clip-path=\"url(#p2ae3c09c8b)\" style=\"fill: none; stroke: #b0b0b0; stroke-width: 0.8; stroke-linecap: square\"/>\n",
" </g>\n",
" <g id=\"line2d_12\">\n",
" <g>\n",
" <use xlink:href=\"#m2470c4d2cb\" x=\"144.838869\" y=\"141.20925\" style=\"stroke: #000000; stroke-width: 0.8\"/>\n",
" </g>\n",
" </g>\n",
" <g id=\"text_6\">\n",
" <!-- 100 -->\n",
" <g transform=\"translate(147.598244 167.29675)rotate(-90)scale(0.1 -0.1)\">\n",
" <defs>\n",
" <path id=\"DejaVuSans-31\" d=\"M 794 531 L 1825 531 L 1825 4091 L 703 3866 L 703 4441 L 1819 4666 L 2450 4666 L 2450 531 L 3481 531 L 3481 0 L 794 0 L 794 531 z \" transform=\"scale(0.015625)\"/>\n",
" </defs>\n",
" <use xlink:href=\"#DejaVuSans-31\"/>\n",
" <use xlink:href=\"#DejaVuSans-30\" x=\"63.623047\"/>\n",
" <use xlink:href=\"#DejaVuSans-30\" x=\"127.246094\"/>\n",
" </g>\n",
" </g>\n",
" </g>\n",
" <g id=\"xtick_7\">\n",
" <g id=\"line2d_13\">\n",
" <path d=\"M 167.233518 141.20925 L 167.233518 32.48925 \" clip-path=\"url(#p2ae3c09c8b)\" style=\"fill: none; stroke: #b0b0b0; stroke-width: 0.8; stroke-linecap: square\"/>\n",
" </g>\n",
" <g id=\"line2d_14\">\n",
" <g>\n",
" <use xlink:href=\"#m2470c4d2cb\" x=\"167.233518\" y=\"141.20925\" style=\"stroke: #000000; stroke-width: 0.8\"/>\n",
" </g>\n",
" </g>\n",
" <g id=\"text_7\">\n",
" <!-- 120 -->\n",
" <g transform=\"translate(169.992893 167.29675)rotate(-90)scale(0.1 -0.1)\">\n",
" <use xlink:href=\"#DejaVuSans-31\"/>\n",
" <use xlink:href=\"#DejaVuSans-32\" x=\"63.623047\"/>\n",
" <use xlink:href=\"#DejaVuSans-30\" x=\"127.246094\"/>\n",
" </g>\n",
" </g>\n",
" </g>\n",
" <g id=\"xtick_8\">\n",
" <g id=\"line2d_15\">\n",
" <path d=\"M 189.628167 141.20925 L 189.628167 32.48925 \" clip-path=\"url(#p2ae3c09c8b)\" style=\"fill: none; stroke: #b0b0b0; stroke-width: 0.8; stroke-linecap: square\"/>\n",
" </g>\n",
" <g id=\"line2d_16\">\n",
" <g>\n",
" <use xlink:href=\"#m2470c4d2cb\" x=\"189.628167\" y=\"141.20925\" style=\"stroke: #000000; stroke-width: 0.8\"/>\n",
" </g>\n",
" </g>\n",
" <g id=\"text_8\">\n",
" <!-- 140 -->\n",
" <g transform=\"translate(192.387542 167.29675)rotate(-90)scale(0.1 -0.1)\">\n",
" <use xlink:href=\"#DejaVuSans-31\"/>\n",
" <use xlink:href=\"#DejaVuSans-34\" x=\"63.623047\"/>\n",
" <use xlink:href=\"#DejaVuSans-30\" x=\"127.246094\"/>\n",
" </g>\n",
" </g>\n",
" </g>\n",
" <g id=\"xtick_9\">\n",
" <g id=\"line2d_17\">\n",
" <path d=\"M 212.022816 141.20925 L 212.022816 32.48925 \" clip-path=\"url(#p2ae3c09c8b)\" style=\"fill: none; stroke: #b0b0b0; stroke-width: 0.8; stroke-linecap: square\"/>\n",
" </g>\n",
" <g id=\"line2d_18\">\n",
" <g>\n",
" <use xlink:href=\"#m2470c4d2cb\" x=\"212.022816\" y=\"141.20925\" style=\"stroke: #000000; stroke-width: 0.8\"/>\n",
" </g>\n",
" </g>\n",
" <g id=\"text_9\">\n",
" <!-- 160 -->\n",
" <g transform=\"translate(214.782191 167.29675)rotate(-90)scale(0.1 -0.1)\">\n",
" <use xlink:href=\"#DejaVuSans-31\"/>\n",
" <use xlink:href=\"#DejaVuSans-36\" x=\"63.623047\"/>\n",
" <use xlink:href=\"#DejaVuSans-30\" x=\"127.246094\"/>\n",
" </g>\n",
" </g>\n",
" </g>\n",
" <g id=\"xtick_10\">\n",
" <g id=\"line2d_19\">\n",
" <path d=\"M 234.417464 141.20925 L 234.417464 32.48925 \" clip-path=\"url(#p2ae3c09c8b)\" style=\"fill: none; stroke: #b0b0b0; stroke-width: 0.8; stroke-linecap: square\"/>\n",
" </g>\n",
" <g id=\"line2d_20\">\n",
" <g>\n",
" <use xlink:href=\"#m2470c4d2cb\" x=\"234.417464\" y=\"141.20925\" style=\"stroke: #000000; stroke-width: 0.8\"/>\n",
" </g>\n",
" </g>\n",
" <g id=\"text_10\">\n",
" <!-- 180 -->\n",
" <g transform=\"translate(237.176839 167.29675)rotate(-90)scale(0.1 -0.1)\">\n",
" <use xlink:href=\"#DejaVuSans-31\"/>\n",
" <use xlink:href=\"#DejaVuSans-38\" x=\"63.623047\"/>\n",
" <use xlink:href=\"#DejaVuSans-30\" x=\"127.246094\"/>\n",
" </g>\n",
" </g>\n",
" </g>\n",
" <g id=\"xtick_11\">\n",
" <g id=\"line2d_21\">\n",
" <path d=\"M 256.812113 141.20925 L 256.812113 32.48925 \" clip-path=\"url(#p2ae3c09c8b)\" style=\"fill: none; stroke: #b0b0b0; stroke-width: 0.8; stroke-linecap: square\"/>\n",
" </g>\n",
" <g id=\"line2d_22\">\n",
" <g>\n",
" <use xlink:href=\"#m2470c4d2cb\" x=\"256.812113\" y=\"141.20925\" style=\"stroke: #000000; stroke-width: 0.8\"/>\n",
" </g>\n",
" </g>\n",
" <g id=\"text_11\">\n",
" <!-- 200 -->\n",
" <g transform=\"translate(259.571488 167.29675)rotate(-90)scale(0.1 -0.1)\">\n",
" <use xlink:href=\"#DejaVuSans-32\"/>\n",
" <use xlink:href=\"#DejaVuSans-30\" x=\"63.623047\"/>\n",
" <use xlink:href=\"#DejaVuSans-30\" x=\"127.246094\"/>\n",
" </g>\n",
" </g>\n",
" </g>\n",
" <g id=\"xtick_12\">\n",
" <g id=\"line2d_23\">\n",
" <path d=\"M 279.206762 141.20925 L 279.206762 32.48925 \" clip-path=\"url(#p2ae3c09c8b)\" style=\"fill: none; stroke: #b0b0b0; stroke-width: 0.8; stroke-linecap: square\"/>\n",
" </g>\n",
" <g id=\"line2d_24\">\n",
" <g>\n",
" <use xlink:href=\"#m2470c4d2cb\" x=\"279.206762\" y=\"141.20925\" style=\"stroke: #000000; stroke-width: 0.8\"/>\n",
" </g>\n",
" </g>\n",
" <g id=\"text_12\">\n",
" <!-- 220 -->\n",
" <g transform=\"translate(281.966137 167.29675)rotate(-90)scale(0.1 -0.1)\">\n",
" <use xlink:href=\"#DejaVuSans-32\"/>\n",
" <use xlink:href=\"#DejaVuSans-32\" x=\"63.623047\"/>\n",
" <use xlink:href=\"#DejaVuSans-30\" x=\"127.246094\"/>\n",
" </g>\n",
" </g>\n",
" </g>\n",
" <g id=\"xtick_13\">\n",
" <g id=\"line2d_25\">\n",
" <path d=\"M 301.601411 141.20925 L 301.601411 32.48925 \" clip-path=\"url(#p2ae3c09c8b)\" style=\"fill: none; stroke: #b0b0b0; stroke-width: 0.8; stroke-linecap: square\"/>\n",
" </g>\n",
" <g id=\"line2d_26\">\n",
" <g>\n",
" <use xlink:href=\"#m2470c4d2cb\" x=\"301.601411\" y=\"141.20925\" style=\"stroke: #000000; stroke-width: 0.8\"/>\n",
" </g>\n",
" </g>\n",
" <g id=\"text_13\">\n",
" <!-- 240 -->\n",
" <g transform=\"translate(304.360786 167.29675)rotate(-90)scale(0.1 -0.1)\">\n",
" <use xlink:href=\"#DejaVuSans-32\"/>\n",
" <use xlink:href=\"#DejaVuSans-34\" x=\"63.623047\"/>\n",
" <use xlink:href=\"#DejaVuSans-30\" x=\"127.246094\"/>\n",
" </g>\n",
" </g>\n",
" </g>\n",
" <g id=\"xtick_14\">\n",
" <g id=\"line2d_27\">\n",
" <path d=\"M 323.99606 141.20925 L 323.99606 32.48925 \" clip-path=\"url(#p2ae3c09c8b)\" style=\"fill: none; stroke: #b0b0b0; stroke-width: 0.8; stroke-linecap: square\"/>\n",
" </g>\n",
" <g id=\"line2d_28\">\n",
" <g>\n",
" <use xlink:href=\"#m2470c4d2cb\" x=\"323.99606\" y=\"141.20925\" style=\"stroke: #000000; stroke-width: 0.8\"/>\n",
" </g>\n",
" </g>\n",
" <g id=\"text_14\">\n",
" <!-- 260 -->\n",
" <g transform=\"translate(326.755435 167.29675)rotate(-90)scale(0.1 -0.1)\">\n",
" <use xlink:href=\"#DejaVuSans-32\"/>\n",
" <use xlink:href=\"#DejaVuSans-36\" x=\"63.623047\"/>\n",
" <use xlink:href=\"#DejaVuSans-30\" x=\"127.246094\"/>\n",
" </g>\n",
" </g>\n",
" </g>\n",
" <g id=\"xtick_15\">\n",
" <g id=\"line2d_29\">\n",
" <path d=\"M 346.390709 141.20925 L 346.390709 32.48925 \" clip-path=\"url(#p2ae3c09c8b)\" style=\"fill: none; stroke: #b0b0b0; stroke-width: 0.8; stroke-linecap: square\"/>\n",
" </g>\n",
" <g id=\"line2d_30\">\n",
" <g>\n",
" <use xlink:href=\"#m2470c4d2cb\" x=\"346.390709\" y=\"141.20925\" style=\"stroke: #000000; stroke-width: 0.8\"/>\n",
" </g>\n",
" </g>\n",
" <g id=\"text_15\">\n",
" <!-- 280 -->\n",
" <g transform=\"translate(349.150084 167.29675)rotate(-90)scale(0.1 -0.1)\">\n",
" <use xlink:href=\"#DejaVuSans-32\"/>\n",
" <use xlink:href=\"#DejaVuSans-38\" x=\"63.623047\"/>\n",
" <use xlink:href=\"#DejaVuSans-30\" x=\"127.246094\"/>\n",
" </g>\n",
" </g>\n",
" </g>\n",
" </g>\n",
" <g id=\"matplotlib.axis_2\">\n",
" <g id=\"ytick_1\">\n",
" <g id=\"line2d_31\">\n",
" <path d=\"M 32.865625 141.20925 L 367.665625 141.20925 \" clip-path=\"url(#p2ae3c09c8b)\" style=\"fill: none; stroke: #b0b0b0; stroke-width: 0.8; stroke-linecap: square\"/>\n",
" </g>\n",
" <g id=\"line2d_32\">\n",
" <defs>\n",
" <path id=\"ma4590494e1\" d=\"M 0 0 L -3.5 0 \" style=\"stroke: #000000; stroke-width: 0.8\"/>\n",
" </defs>\n",
" <g>\n",
" <use xlink:href=\"#ma4590494e1\" x=\"32.865625\" y=\"141.20925\" style=\"stroke: #000000; stroke-width: 0.8\"/>\n",
" </g>\n",
" </g>\n",
" <g id=\"text_16\">\n",
" <!-- 0.00 -->\n",
" <g transform=\"translate(3.6 145.008469)scale(0.1 -0.1)\">\n",
" <defs>\n",
" <path id=\"DejaVuSans-2e\" d=\"M 684 794 L 1344 794 L 1344 0 L 684 0 L 684 794 z \" transform=\"scale(0.015625)\"/>\n",
" </defs>\n",
" <use xlink:href=\"#DejaVuSans-30\"/>\n",
" <use xlink:href=\"#DejaVuSans-2e\" x=\"63.623047\"/>\n",
" <use xlink:href=\"#DejaVuSans-30\" x=\"95.410156\"/>\n",
" <use xlink:href=\"#DejaVuSans-30\" x=\"159.033203\"/>\n",
" </g>\n",
" </g>\n",
" </g>\n",
" <g id=\"ytick_2\">\n",
" <g id=\"line2d_33\">\n",
" <path d=\"M 32.865625 115.323536 L 367.665625 115.323536 \" clip-path=\"url(#p2ae3c09c8b)\" style=\"fill: none; stroke: #b0b0b0; stroke-width: 0.8; stroke-linecap: square\"/>\n",
" </g>\n",
" <g id=\"line2d_34\">\n",
" <g>\n",
" <use xlink:href=\"#ma4590494e1\" x=\"32.865625\" y=\"115.323536\" style=\"stroke: #000000; stroke-width: 0.8\"/>\n",
" </g>\n",
" </g>\n",
" <g id=\"text_17\">\n",
" <!-- 0.25 -->\n",
" <g transform=\"translate(3.6 119.122754)scale(0.1 -0.1)\">\n",
" <defs>\n",
" <path id=\"DejaVuSans-35\" d=\"M 691 4666 L 3169 4666 L 3169 4134 L 1269 4134 L 1269 2991 Q 1406 3038 1543 3061 Q 1681 3084 1819 3084 Q 2600 3084 3056 2656 Q 3513 2228 3513 1497 Q 3513 744 3044 326 Q 2575 -91 1722 -91 Q 1428 -91 1123 -41 Q 819 9 494 109 L 494 744 Q 775 591 1075 516 Q 1375 441 1709 441 Q 2250 441 2565 725 Q 2881 1009 2881 1497 Q 2881 1984 2565 2268 Q 2250 2553 1709 2553 Q 1456 2553 1204 2497 Q 953 2441 691 2322 L 691 4666 z \" transform=\"scale(0.015625)\"/>\n",
" </defs>\n",
" <use xlink:href=\"#DejaVuSans-30\"/>\n",
" <use xlink:href=\"#DejaVuSans-2e\" x=\"63.623047\"/>\n",
" <use xlink:href=\"#DejaVuSans-32\" x=\"95.410156\"/>\n",
" <use xlink:href=\"#DejaVuSans-35\" x=\"159.033203\"/>\n",
" </g>\n",
" </g>\n",
" </g>\n",
" <g id=\"ytick_3\">\n",
" <g id=\"line2d_35\">\n",
" <path d=\"M 32.865625 89.437821 L 367.665625 89.437821 \" clip-path=\"url(#p2ae3c09c8b)\" style=\"fill: none; stroke: #b0b0b0; stroke-width: 0.8; stroke-linecap: square\"/>\n",
" </g>\n",
" <g id=\"line2d_36\">\n",
" <g>\n",
" <use xlink:href=\"#ma4590494e1\" x=\"32.865625\" y=\"89.437821\" style=\"stroke: #000000; stroke-width: 0.8\"/>\n",
" </g>\n",
" </g>\n",
" <g id=\"text_18\">\n",
" <!-- 0.50 -->\n",
" <g transform=\"translate(3.6 93.23704)scale(0.1 -0.1)\">\n",
" <use xlink:href=\"#DejaVuSans-30\"/>\n",
" <use xlink:href=\"#DejaVuSans-2e\" x=\"63.623047\"/>\n",
" <use xlink:href=\"#DejaVuSans-35\" x=\"95.410156\"/>\n",
" <use xlink:href=\"#DejaVuSans-30\" x=\"159.033203\"/>\n",
" </g>\n",
" </g>\n",
" </g>\n",
" <g id=\"ytick_4\">\n",
" <g id=\"line2d_37\">\n",
" <path d=\"M 32.865625 63.552107 L 367.665625 63.552107 \" clip-path=\"url(#p2ae3c09c8b)\" style=\"fill: none; stroke: #b0b0b0; stroke-width: 0.8; stroke-linecap: square\"/>\n",
" </g>\n",
" <g id=\"line2d_38\">\n",
" <g>\n",
" <use xlink:href=\"#ma4590494e1\" x=\"32.865625\" y=\"63.552107\" style=\"stroke: #000000; stroke-width: 0.8\"/>\n",
" </g>\n",
" </g>\n",
" <g id=\"text_19\">\n",
" <!-- 0.75 -->\n",
" <g transform=\"translate(3.6 67.351326)scale(0.1 -0.1)\">\n",
" <defs>\n",
" <path id=\"DejaVuSans-37\" d=\"M 525 4666 L 3525 4666 L 3525 4397 L 1831 0 L 1172 0 L 2766 4134 L 525 4134 L 525 4666 z \" transform=\"scale(0.015625)\"/>\n",
" </defs>\n",
" <use xlink:href=\"#DejaVuSans-30\"/>\n",
" <use xlink:href=\"#DejaVuSans-2e\" x=\"63.623047\"/>\n",
" <use xlink:href=\"#DejaVuSans-37\" x=\"95.410156\"/>\n",
" <use xlink:href=\"#DejaVuSans-35\" x=\"159.033203\"/>\n",
" </g>\n",
" </g>\n",
" </g>\n",
" <g id=\"ytick_5\">\n",
" <g id=\"line2d_39\">\n",
" <path d=\"M 32.865625 37.666393 L 367.665625 37.666393 \" clip-path=\"url(#p2ae3c09c8b)\" style=\"fill: none; stroke: #b0b0b0; stroke-width: 0.8; stroke-linecap: square\"/>\n",
" </g>\n",
" <g id=\"line2d_40\">\n",
" <g>\n",
" <use xlink:href=\"#ma4590494e1\" x=\"32.865625\" y=\"37.666393\" style=\"stroke: #000000; stroke-width: 0.8\"/>\n",
" </g>\n",
" </g>\n",
" <g id=\"text_20\">\n",
" <!-- 1.00 -->\n",
" <g transform=\"translate(3.6 41.465612)scale(0.1 -0.1)\">\n",
" <use xlink:href=\"#DejaVuSans-31\"/>\n",
" <use xlink:href=\"#DejaVuSans-2e\" x=\"63.623047\"/>\n",
" <use xlink:href=\"#DejaVuSans-30\" x=\"95.410156\"/>\n",
" <use xlink:href=\"#DejaVuSans-30\" x=\"159.033203\"/>\n",
" </g>\n",
" </g>\n",
" </g>\n",
" </g>\n",
" <g id=\"patch_3\">\n",
" <path d=\"M 32.865625 141.20925 L 32.865625 32.48925 \" style=\"fill: none; stroke: #000000; stroke-width: 0.8; stroke-linejoin: miter; stroke-linecap: square\"/>\n",
" </g>\n",
" <g id=\"patch_4\">\n",
" <path d=\"M 367.665625 141.20925 L 367.665625 32.48925 \" style=\"fill: none; stroke: #000000; stroke-width: 0.8; stroke-linejoin: miter; stroke-linecap: square\"/>\n",
" </g>\n",
" <g id=\"patch_5\">\n",
" <path d=\"M 32.865625 141.20925 L 367.665625 141.20925 \" style=\"fill: none; stroke: #000000; stroke-width: 0.8; stroke-linejoin: miter; stroke-linecap: square\"/>\n",
" </g>\n",
" <g id=\"patch_6\">\n",
" <path d=\"M 32.865625 32.48925 L 367.665625 32.48925 \" style=\"fill: none; stroke: #000000; stroke-width: 0.8; stroke-linejoin: miter; stroke-linecap: square\"/>\n",
" </g>\n",
" <g id=\"text_21\">\n",
" <!-- theta_fpr -->\n",
" <g transform=\"translate(173.002187 12.718125)scale(0.12 -0.12)\">\n",
" <defs>\n",
" <path id=\"DejaVuSans-74\" d=\"M 1172 4494 L 1172 3500 L 2356 3500 L 2356 3053 L 1172 3053 L 1172 1153 Q 1172 725 1289 603 Q 1406 481 1766 481 L 2356 481 L 2356 0 L 1766 0 Q 1100 0 847 248 Q 594 497 594 1153 L 594 3053 L 172 3053 L 172 3500 L 594 3500 L 594 4494 L 1172 4494 z \" transform=\"scale(0.015625)\"/>\n",
" <path id=\"DejaVuSans-68\" d=\"M 3513 2113 L 3513 0 L 2938 0 L 2938 2094 Q 2938 2591 2744 2837 Q 2550 3084 2163 3084 Q 1697 3084 1428 2787 Q 1159 2491 1159 1978 L 1159 0 L 581 0 L 581 4863 L 1159 4863 L 1159 2956 Q 1366 3272 1645 3428 Q 1925 3584 2291 3584 Q 2894 3584 3203 3211 Q 3513 2838 3513 2113 z \" transform=\"scale(0.015625)\"/>\n",
" <path id=\"DejaVuSans-65\" d=\"M 3597 1894 L 3597 1613 L 953 1613 Q 991 1019 1311 708 Q 1631 397 2203 397 Q 2534 397 2845 478 Q 3156 559 3463 722 L 3463 178 Q 3153 47 2828 -22 Q 2503 -91 2169 -91 Q 1331 -91 842 396 Q 353 884 353 1716 Q 353 2575 817 3079 Q 1281 3584 2069 3584 Q 2775 3584 3186 3129 Q 3597 2675 3597 1894 z M 3022 2063 Q 3016 2534 2758 2815 Q 2500 3097 2075 3097 Q 1594 3097 1305 2825 Q 1016 2553 972 2059 L 3022 2063 z \" transform=\"scale(0.015625)\"/>\n",
" <path id=\"DejaVuSans-61\" d=\"M 2194 1759 Q 1497 1759 1228 1600 Q 959 1441 959 1056 Q 959 750 1161 570 Q 1363 391 1709 391 Q 2188 391 2477 730 Q 2766 1069 2766 1631 L 2766 1759 L 2194 1759 z M 3341 1997 L 3341 0 L 2766 0 L 2766 531 Q 2569 213 2275 61 Q 1981 -91 1556 -91 Q 1019 -91 701 211 Q 384 513 384 1019 Q 384 1609 779 1909 Q 1175 2209 1959 2209 L 2766 2209 L 2766 2266 Q 2766 2663 2505 2880 Q 2244 3097 1772 3097 Q 1472 3097 1187 3025 Q 903 2953 641 2809 L 641 3341 Q 956 3463 1253 3523 Q 1550 3584 1831 3584 Q 2591 3584 2966 3190 Q 3341 2797 3341 1997 z \" transform=\"scale(0.015625)\"/>\n",
" <path id=\"DejaVuSans-5f\" d=\"M 3263 -1063 L 3263 -1509 L -63 -1509 L -63 -1063 L 3263 -1063 z \" transform=\"scale(0.015625)\"/>\n",
" <path id=\"DejaVuSans-66\" d=\"M 2375 4863 L 2375 4384 L 1825 4384 Q 1516 4384 1395 4259 Q 1275 4134 1275 3809 L 1275 3500 L 2222 3500 L 2222 3053 L 1275 3053 L 1275 0 L 697 0 L 697 3053 L 147 3053 L 147 3500 L 697 3500 L 697 3744 Q 697 4328 969 4595 Q 1241 4863 1831 4863 L 2375 4863 z \" transform=\"scale(0.015625)\"/>\n",
" <path id=\"DejaVuSans-70\" d=\"M 1159 525 L 1159 -1331 L 581 -1331 L 581 3500 L 1159 3500 L 1159 2969 Q 1341 3281 1617 3432 Q 1894 3584 2278 3584 Q 2916 3584 3314 3078 Q 3713 2572 3713 1747 Q 3713 922 3314 415 Q 2916 -91 2278 -91 Q 1894 -91 1617 61 Q 1341 213 1159 525 z M 3116 1747 Q 3116 2381 2855 2742 Q 2594 3103 2138 3103 Q 1681 3103 1420 2742 Q 1159 2381 1159 1747 Q 1159 1113 1420 752 Q 1681 391 2138 391 Q 2594 391 2855 752 Q 3116 1113 3116 1747 z \" transform=\"scale(0.015625)\"/>\n",
" <path id=\"DejaVuSans-72\" d=\"M 2631 2963 Q 2534 3019 2420 3045 Q 2306 3072 2169 3072 Q 1681 3072 1420 2755 Q 1159 2438 1159 1844 L 1159 0 L 581 0 L 581 3500 L 1159 3500 L 1159 2956 Q 1341 3275 1631 3429 Q 1922 3584 2338 3584 Q 2397 3584 2469 3576 Q 2541 3569 2628 3553 L 2631 2963 z \" transform=\"scale(0.015625)\"/>\n",
" </defs>\n",
" <use xlink:href=\"#DejaVuSans-74\"/>\n",
" <use xlink:href=\"#DejaVuSans-68\" x=\"39.208984\"/>\n",
" <use xlink:href=\"#DejaVuSans-65\" x=\"102.587891\"/>\n",
" <use xlink:href=\"#DejaVuSans-74\" x=\"164.111328\"/>\n",
" <use xlink:href=\"#DejaVuSans-61\" x=\"203.320312\"/>\n",
" <use xlink:href=\"#DejaVuSans-5f\" x=\"264.599609\"/>\n",
" <use xlink:href=\"#DejaVuSans-66\" x=\"314.599609\"/>\n",
" <use xlink:href=\"#DejaVuSans-70\" x=\"349.804688\"/>\n",
" <use xlink:href=\"#DejaVuSans-72\" x=\"413.28125\"/>\n",
" </g>\n",
" <!-- $\\mu=3.00$; $\\sigma=0.00$ -->\n",
" <g transform=\"translate(147.225625 26.48925)scale(0.12 -0.12)\">\n",
" <defs>\n",
" <path id=\"DejaVuSans-Oblique-3bc\" d=\"M -84 -1331 L 856 3500 L 1434 3500 L 1009 1322 Q 997 1256 987 1175 Q 978 1094 978 1013 Q 978 722 1161 565 Q 1344 409 1684 409 Q 2147 409 2431 671 Q 2716 934 2816 1459 L 3213 3500 L 3788 3500 L 3266 809 Q 3253 750 3248 706 Q 3244 663 3244 628 Q 3244 531 3283 486 Q 3322 441 3406 441 Q 3438 441 3492 456 Q 3547 472 3647 513 L 3559 50 Q 3422 -19 3297 -55 Q 3172 -91 3053 -91 Q 2847 -91 2730 40 Q 2613 172 2613 403 Q 2438 153 2195 31 Q 1953 -91 1625 -91 Q 1334 -91 1117 43 Q 900 178 831 397 L 494 -1331 L -84 -1331 z \" transform=\"scale(0.015625)\"/>\n",
" <path id=\"DejaVuSans-3d\" d=\"M 678 2906 L 4684 2906 L 4684 2381 L 678 2381 L 678 2906 z M 678 1631 L 4684 1631 L 4684 1100 L 678 1100 L 678 1631 z \" transform=\"scale(0.015625)\"/>\n",
" <path id=\"DejaVuSans-33\" d=\"M 2597 2516 Q 3050 2419 3304 2112 Q 3559 1806 3559 1356 Q 3559 666 3084 287 Q 2609 -91 1734 -91 Q 1441 -91 1130 -33 Q 819 25 488 141 L 488 750 Q 750 597 1062 519 Q 1375 441 1716 441 Q 2309 441 2620 675 Q 2931 909 2931 1356 Q 2931 1769 2642 2001 Q 2353 2234 1838 2234 L 1294 2234 L 1294 2753 L 1863 2753 Q 2328 2753 2575 2939 Q 2822 3125 2822 3475 Q 2822 3834 2567 4026 Q 2313 4219 1838 4219 Q 1578 4219 1281 4162 Q 984 4106 628 3988 L 628 4550 Q 988 4650 1302 4700 Q 1616 4750 1894 4750 Q 2613 4750 3031 4423 Q 3450 4097 3450 3541 Q 3450 3153 3228 2886 Q 3006 2619 2597 2516 z \" transform=\"scale(0.015625)\"/>\n",
" <path id=\"DejaVuSans-3b\" d=\"M 750 3309 L 1409 3309 L 1409 2516 L 750 2516 L 750 3309 z M 750 794 L 1409 794 L 1409 256 L 897 -744 L 494 -744 L 750 256 L 750 794 z \" transform=\"scale(0.015625)\"/>\n",
" <path id=\"DejaVuSans-20\" transform=\"scale(0.015625)\"/>\n",
" <path id=\"DejaVuSans-Oblique-3c3\" d=\"M 2219 3044 Q 1744 3044 1422 2700 Q 1081 2341 969 1747 Q 844 1119 1044 756 Q 1241 397 1706 397 Q 2166 397 2503 759 Q 2844 1122 2966 1747 Q 3075 2319 2881 2700 Q 2700 3044 2219 3044 z M 2309 3503 L 4219 3500 L 4106 2925 L 3463 2925 Q 3706 2438 3575 1747 Q 3406 888 2884 400 Q 2359 -91 1609 -91 Q 856 -91 525 400 Q 194 888 363 1747 Q 528 2609 1050 3097 Q 1484 3503 2309 3503 z \" transform=\"scale(0.015625)\"/>\n",
" </defs>\n",
" <use xlink:href=\"#DejaVuSans-Oblique-3bc\" transform=\"translate(0 0.78125)\"/>\n",
" <use xlink:href=\"#DejaVuSans-3d\" transform=\"translate(83.105469 0.78125)\"/>\n",
" <use xlink:href=\"#DejaVuSans-33\" transform=\"translate(186.376953 0.78125)\"/>\n",
" <use xlink:href=\"#DejaVuSans-2e\" transform=\"translate(250 0.78125)\"/>\n",
" <use xlink:href=\"#DejaVuSans-30\" transform=\"translate(281.787109 0.78125)\"/>\n",
" <use xlink:href=\"#DejaVuSans-30\" transform=\"translate(345.410156 0.78125)\"/>\n",
" <use xlink:href=\"#DejaVuSans-3b\" transform=\"translate(409.033203 0.78125)\"/>\n",
" <use xlink:href=\"#DejaVuSans-20\" transform=\"translate(442.724609 0.78125)\"/>\n",
" <use xlink:href=\"#DejaVuSans-Oblique-3c3\" transform=\"translate(474.511719 0.78125)\"/>\n",
" <use xlink:href=\"#DejaVuSans-3d\" transform=\"translate(557.373047 0.78125)\"/>\n",
" <use xlink:href=\"#DejaVuSans-30\" transform=\"translate(660.644531 0.78125)\"/>\n",
" <use xlink:href=\"#DejaVuSans-2e\" transform=\"translate(724.267578 0.78125)\"/>\n",
" <use xlink:href=\"#DejaVuSans-30\" transform=\"translate(756.054688 0.78125)\"/>\n",
" <use xlink:href=\"#DejaVuSans-30\" transform=\"translate(819.677734 0.78125)\"/>\n",
" </g>\n",
" </g>\n",
" </g>\n",
" </g>\n",
" <defs>\n",
" <clipPath id=\"p2ae3c09c8b\">\n",
" <rect x=\"32.865625\" y=\"32.48925\" width=\"334.8\" height=\"108.72\"/>\n",
" </clipPath>\n",
" </defs>\n",
"</svg>\n",
"\n",
"</g>\n",
"<!-- y_pred -->\n",
"<g id=\"node5\" class=\"node\">\n",
"<title>y_pred</title>\n",
"<polygon fill=\"#e0e0e0\" stroke=\"#000000\" points=\"402,-64 301,-64 301,-23 402,-23 402,-64\"/>\n",
"<svg viewBox=\"0 0 132.1625 52.998125\" width=\"101px\" height=\"41px\" preserveAspectRatio=\"xMinYMin meet\" x=\"301\" y=\"-64\"> <metadata>\n",
" <rdf:RDF xmlns:dc=\"http://purl.org/dc/elements/1.1/\" xmlns:cc=\"http://creativecommons.org/ns#\" xmlns:rdf=\"http://www.w3.org/1999/02/22-rdf-syntax-ns#\">\n",
" <cc:Work>\n",
" <dc:type rdf:resource=\"http://purl.org/dc/dcmitype/StillImage\"/>\n",
" <dc:date>2022-07-11T02:49:43.155657</dc:date>\n",
" <dc:format>image/svg+xml</dc:format>\n",
" <dc:creator>\n",
" <cc:Agent>\n",
" <dc:title>Matplotlib v3.5.2, https://matplotlib.org/</dc:title>\n",
" </cc:Agent>\n",
" </dc:creator>\n",
" </cc:Work>\n",
" </rdf:RDF>\n",
" </metadata>\n",
" <defs>\n",
" <style type=\"text/css\">*{stroke-linejoin: round; stroke-linecap: butt}</style>\n",
" </defs>\n",
" <g id=\"figure_1\">\n",
" <g id=\"patch_1\">\n",
" <path d=\"M 0 52.998125 L 132.1625 52.998125 L 132.1625 0 L 0 0 z \" style=\"fill: #e0e0e0\"/>\n",
" </g>\n",
" <g id=\"axes_1\">\n",
" <g id=\"patch_2\">\n",
" <path d=\"M 16.9625 45.898125 L 128.5625 45.898125 L 128.5625 18.718125 L 16.9625 18.718125 z \" style=\"fill: #ffffff\"/>\n",
" </g>\n",
" <g id=\"patch_3\">\n",
" <path d=\"M 16.9625 45.898125 L 127.442768 45.898125 L 127.442768 33.818125 L 16.9625 33.818125 z \" clip-path=\"url(#pfc90be1dc1)\" style=\"fill: #8fbc8f\"/>\n",
" </g>\n",
" <g id=\"patch_4\">\n",
" <path d=\"M 16.9625 30.798125 L 18.082232 30.798125 L 18.082232 18.718125 L 16.9625 18.718125 z \" clip-path=\"url(#pfc90be1dc1)\" style=\"fill: #8fbc8f\"/>\n",
" </g>\n",
" <g id=\"matplotlib.axis_1\">\n",
" <g id=\"xtick_1\">\n",
" <g id=\"line2d_1\">\n",
" <path d=\"M 16.9625 45.898125 L 16.9625 18.718125 \" clip-path=\"url(#pfc90be1dc1)\" style=\"fill: none; stroke: #b0b0b0; stroke-width: 0.8; stroke-linecap: square\"/>\n",
" </g>\n",
" <g id=\"line2d_2\">\n",
" <defs>\n",
" <path id=\"mbe93d6acff\" d=\"M 0 0 L 0 3.5 \" style=\"stroke: #000000; stroke-width: 0.8\"/>\n",
" </defs>\n",
" <g>\n",
" <use xlink:href=\"#mbe93d6acff\" x=\"16.9625\" y=\"45.898125\" style=\"stroke: #000000; stroke-width: 0.8\"/>\n",
" </g>\n",
" </g>\n",
" </g>\n",
" <g id=\"xtick_2\">\n",
" <g id=\"line2d_3\">\n",
" <path d=\"M 72.7625 45.898125 L 72.7625 18.718125 \" clip-path=\"url(#pfc90be1dc1)\" style=\"fill: none; stroke: #b0b0b0; stroke-width: 0.8; stroke-linecap: square\"/>\n",
" </g>\n",
" <g id=\"line2d_4\">\n",
" <g>\n",
" <use xlink:href=\"#mbe93d6acff\" x=\"72.7625\" y=\"45.898125\" style=\"stroke: #000000; stroke-width: 0.8\"/>\n",
" </g>\n",
" </g>\n",
" </g>\n",
" <g id=\"xtick_3\">\n",
" <g id=\"line2d_5\">\n",
" <path d=\"M 128.5625 45.898125 L 128.5625 18.718125 \" clip-path=\"url(#pfc90be1dc1)\" style=\"fill: none; stroke: #b0b0b0; stroke-width: 0.8; stroke-linecap: square\"/>\n",
" </g>\n",
" <g id=\"line2d_6\">\n",
" <g>\n",
" <use xlink:href=\"#mbe93d6acff\" x=\"128.5625\" y=\"45.898125\" style=\"stroke: #000000; stroke-width: 0.8\"/>\n",
" </g>\n",
" </g>\n",
" </g>\n",
" </g>\n",
" <g id=\"matplotlib.axis_2\">\n",
" <g id=\"ytick_1\">\n",
" <g id=\"line2d_7\">\n",
" <defs>\n",
" <path id=\"m05cca0660f\" d=\"M 0 0 L -3.5 0 \" style=\"stroke: #000000; stroke-width: 0.8\"/>\n",
" </defs>\n",
" <g>\n",
" <use xlink:href=\"#m05cca0660f\" x=\"16.9625\" y=\"39.858125\" style=\"stroke: #000000; stroke-width: 0.8\"/>\n",
" </g>\n",
" </g>\n",
" <g id=\"text_1\">\n",
" <!-- 1 -->\n",
" <g transform=\"translate(3.6 43.657344)scale(0.1 -0.1)\">\n",
" <defs>\n",
" <path id=\"DejaVuSans-31\" d=\"M 794 531 L 1825 531 L 1825 4091 L 703 3866 L 703 4441 L 1819 4666 L 2450 4666 L 2450 531 L 3481 531 L 3481 0 L 794 0 L 794 531 z \" transform=\"scale(0.015625)\"/>\n",
" </defs>\n",
" <use xlink:href=\"#DejaVuSans-31\"/>\n",
" </g>\n",
" </g>\n",
" </g>\n",
" <g id=\"ytick_2\">\n",
" <g id=\"line2d_8\">\n",
" <g>\n",
" <use xlink:href=\"#m05cca0660f\" x=\"16.9625\" y=\"24.758125\" style=\"stroke: #000000; stroke-width: 0.8\"/>\n",
" </g>\n",
" </g>\n",
" <g id=\"text_2\">\n",
" <!-- 0 -->\n",
" <g transform=\"translate(3.6 28.557344)scale(0.1 -0.1)\">\n",
" <defs>\n",
" <path id=\"DejaVuSans-30\" d=\"M 2034 4250 Q 1547 4250 1301 3770 Q 1056 3291 1056 2328 Q 1056 1369 1301 889 Q 1547 409 2034 409 Q 2525 409 2770 889 Q 3016 1369 3016 2328 Q 3016 3291 2770 3770 Q 2525 4250 2034 4250 z M 2034 4750 Q 2819 4750 3233 4129 Q 3647 3509 3647 2328 Q 3647 1150 3233 529 Q 2819 -91 2034 -91 Q 1250 -91 836 529 Q 422 1150 422 2328 Q 422 3509 836 4129 Q 1250 4750 2034 4750 z \" transform=\"scale(0.015625)\"/>\n",
" </defs>\n",
" <use xlink:href=\"#DejaVuSans-30\"/>\n",
" </g>\n",
" </g>\n",
" </g>\n",
" </g>\n",
" <g id=\"patch_5\">\n",
" <path d=\"M 16.9625 45.898125 L 16.9625 18.718125 \" style=\"fill: none; stroke: #000000; stroke-width: 0.8; stroke-linejoin: miter; stroke-linecap: square\"/>\n",
" </g>\n",
" <g id=\"patch_6\">\n",
" <path d=\"M 128.5625 45.898125 L 128.5625 18.718125 \" style=\"fill: none; stroke: #000000; stroke-width: 0.8; stroke-linejoin: miter; stroke-linecap: square\"/>\n",
" </g>\n",
" <g id=\"patch_7\">\n",
" <path d=\"M 16.9625 45.898125 L 128.5625 45.898125 \" style=\"fill: none; stroke: #000000; stroke-width: 0.8; stroke-linejoin: miter; stroke-linecap: square\"/>\n",
" </g>\n",
" <g id=\"patch_8\">\n",
" <path d=\"M 16.9625 18.718125 L 128.5625 18.718125 \" style=\"fill: none; stroke: #000000; stroke-width: 0.8; stroke-linejoin: miter; stroke-linecap: square\"/>\n",
" </g>\n",
" <g id=\"text_3\">\n",
" <!-- 99.00% -->\n",
" <g transform=\"translate(90.432812 43.818437)scale(0.1 -0.1)\">\n",
" <defs>\n",
" <path id=\"DejaVuSans-39\" d=\"M 703 97 L 703 672 Q 941 559 1184 500 Q 1428 441 1663 441 Q 2288 441 2617 861 Q 2947 1281 2994 2138 Q 2813 1869 2534 1725 Q 2256 1581 1919 1581 Q 1219 1581 811 2004 Q 403 2428 403 3163 Q 403 3881 828 4315 Q 1253 4750 1959 4750 Q 2769 4750 3195 4129 Q 3622 3509 3622 2328 Q 3622 1225 3098 567 Q 2575 -91 1691 -91 Q 1453 -91 1209 -44 Q 966 3 703 97 z M 1959 2075 Q 2384 2075 2632 2365 Q 2881 2656 2881 3163 Q 2881 3666 2632 3958 Q 2384 4250 1959 4250 Q 1534 4250 1286 3958 Q 1038 3666 1038 3163 Q 1038 2656 1286 2365 Q 1534 2075 1959 2075 z \" transform=\"scale(0.015625)\"/>\n",
" <path id=\"DejaVuSans-2e\" d=\"M 684 794 L 1344 794 L 1344 0 L 684 0 L 684 794 z \" transform=\"scale(0.015625)\"/>\n",
" <path id=\"DejaVuSans-25\" d=\"M 4653 2053 Q 4381 2053 4226 1822 Q 4072 1591 4072 1178 Q 4072 772 4226 539 Q 4381 306 4653 306 Q 4919 306 5073 539 Q 5228 772 5228 1178 Q 5228 1588 5073 1820 Q 4919 2053 4653 2053 z M 4653 2450 Q 5147 2450 5437 2106 Q 5728 1763 5728 1178 Q 5728 594 5436 251 Q 5144 -91 4653 -91 Q 4153 -91 3862 251 Q 3572 594 3572 1178 Q 3572 1766 3864 2108 Q 4156 2450 4653 2450 z M 1428 4353 Q 1159 4353 1004 4120 Q 850 3888 850 3481 Q 850 3069 1003 2837 Q 1156 2606 1428 2606 Q 1700 2606 1854 2837 Q 2009 3069 2009 3481 Q 2009 3884 1853 4118 Q 1697 4353 1428 4353 z M 4250 4750 L 4750 4750 L 1831 -91 L 1331 -91 L 4250 4750 z M 1428 4750 Q 1922 4750 2215 4408 Q 2509 4066 2509 3481 Q 2509 2891 2217 2550 Q 1925 2209 1428 2209 Q 931 2209 642 2551 Q 353 2894 353 3481 Q 353 4063 643 4406 Q 934 4750 1428 4750 z \" transform=\"scale(0.015625)\"/>\n",
" </defs>\n",
" <use xlink:href=\"#DejaVuSans-39\"/>\n",
" <use xlink:href=\"#DejaVuSans-39\" x=\"63.623047\"/>\n",
" <use xlink:href=\"#DejaVuSans-2e\" x=\"127.246094\"/>\n",
" <use xlink:href=\"#DejaVuSans-30\" x=\"159.033203\"/>\n",
" <use xlink:href=\"#DejaVuSans-30\" x=\"222.65625\"/>\n",
" <use xlink:href=\"#DejaVuSans-25\" x=\"286.279297\"/>\n",
" </g>\n",
" </g>\n",
" <g id=\"text_4\">\n",
" <!-- 1.00% -->\n",
" <g transform=\"translate(96.795312 28.718437)scale(0.1 -0.1)\">\n",
" <use xlink:href=\"#DejaVuSans-31\"/>\n",
" <use xlink:href=\"#DejaVuSans-2e\" x=\"63.623047\"/>\n",
" <use xlink:href=\"#DejaVuSans-30\" x=\"95.410156\"/>\n",
" <use xlink:href=\"#DejaVuSans-30\" x=\"159.033203\"/>\n",
" <use xlink:href=\"#DejaVuSans-25\" x=\"222.65625\"/>\n",
" </g>\n",
" </g>\n",
" <g id=\"text_5\">\n",
" <!-- y_pred -->\n",
" <g transform=\"translate(52.569688 12.718125)scale(0.12 -0.12)\">\n",
" <defs>\n",
" <path id=\"DejaVuSans-79\" d=\"M 2059 -325 Q 1816 -950 1584 -1140 Q 1353 -1331 966 -1331 L 506 -1331 L 506 -850 L 844 -850 Q 1081 -850 1212 -737 Q 1344 -625 1503 -206 L 1606 56 L 191 3500 L 800 3500 L 1894 763 L 2988 3500 L 3597 3500 L 2059 -325 z \" transform=\"scale(0.015625)\"/>\n",
" <path id=\"DejaVuSans-5f\" d=\"M 3263 -1063 L 3263 -1509 L -63 -1509 L -63 -1063 L 3263 -1063 z \" transform=\"scale(0.015625)\"/>\n",
" <path id=\"DejaVuSans-70\" d=\"M 1159 525 L 1159 -1331 L 581 -1331 L 581 3500 L 1159 3500 L 1159 2969 Q 1341 3281 1617 3432 Q 1894 3584 2278 3584 Q 2916 3584 3314 3078 Q 3713 2572 3713 1747 Q 3713 922 3314 415 Q 2916 -91 2278 -91 Q 1894 -91 1617 61 Q 1341 213 1159 525 z M 3116 1747 Q 3116 2381 2855 2742 Q 2594 3103 2138 3103 Q 1681 3103 1420 2742 Q 1159 2381 1159 1747 Q 1159 1113 1420 752 Q 1681 391 2138 391 Q 2594 391 2855 752 Q 3116 1113 3116 1747 z \" transform=\"scale(0.015625)\"/>\n",
" <path id=\"DejaVuSans-72\" d=\"M 2631 2963 Q 2534 3019 2420 3045 Q 2306 3072 2169 3072 Q 1681 3072 1420 2755 Q 1159 2438 1159 1844 L 1159 0 L 581 0 L 581 3500 L 1159 3500 L 1159 2956 Q 1341 3275 1631 3429 Q 1922 3584 2338 3584 Q 2397 3584 2469 3576 Q 2541 3569 2628 3553 L 2631 2963 z \" transform=\"scale(0.015625)\"/>\n",
" <path id=\"DejaVuSans-65\" d=\"M 3597 1894 L 3597 1613 L 953 1613 Q 991 1019 1311 708 Q 1631 397 2203 397 Q 2534 397 2845 478 Q 3156 559 3463 722 L 3463 178 Q 3153 47 2828 -22 Q 2503 -91 2169 -91 Q 1331 -91 842 396 Q 353 884 353 1716 Q 353 2575 817 3079 Q 1281 3584 2069 3584 Q 2775 3584 3186 3129 Q 3597 2675 3597 1894 z M 3022 2063 Q 3016 2534 2758 2815 Q 2500 3097 2075 3097 Q 1594 3097 1305 2825 Q 1016 2553 972 2059 L 3022 2063 z \" transform=\"scale(0.015625)\"/>\n",
" <path id=\"DejaVuSans-64\" d=\"M 2906 2969 L 2906 4863 L 3481 4863 L 3481 0 L 2906 0 L 2906 525 Q 2725 213 2448 61 Q 2172 -91 1784 -91 Q 1150 -91 751 415 Q 353 922 353 1747 Q 353 2572 751 3078 Q 1150 3584 1784 3584 Q 2172 3584 2448 3432 Q 2725 3281 2906 2969 z M 947 1747 Q 947 1113 1208 752 Q 1469 391 1925 391 Q 2381 391 2643 752 Q 2906 1113 2906 1747 Q 2906 2381 2643 2742 Q 2381 3103 1925 3103 Q 1469 3103 1208 2742 Q 947 2381 947 1747 z \" transform=\"scale(0.015625)\"/>\n",
" </defs>\n",
" <use xlink:href=\"#DejaVuSans-79\"/>\n",
" <use xlink:href=\"#DejaVuSans-5f\" x=\"59.179688\"/>\n",
" <use xlink:href=\"#DejaVuSans-70\" x=\"109.179688\"/>\n",
" <use xlink:href=\"#DejaVuSans-72\" x=\"172.65625\"/>\n",
" <use xlink:href=\"#DejaVuSans-65\" x=\"211.519531\"/>\n",
" <use xlink:href=\"#DejaVuSans-64\" x=\"273.042969\"/>\n",
" </g>\n",
" </g>\n",
" </g>\n",
" </g>\n",
" <defs>\n",
" <clipPath id=\"pfc90be1dc1\">\n",
" <rect x=\"16.9625\" y=\"18.718125\" width=\"111.6\" height=\"27.18\"/>\n",
" </clipPath>\n",
" </defs>\n",
"</svg>\n",
"\n",
"</g>\n",
"<!-- theta_fpr&#45;&gt;y_pred -->\n",
"<g id=\"edge4\" class=\"edge\">\n",
"<title>theta_fpr-&gt;y_pred</title>\n",
"<g id=\"a_edge4\"><a xlink:title=\"(1, 4):\">\n",
"<path fill=\"none\" stroke=\"#4a4a4a\" d=\"M351.5,-99.9816C351.5,-91.0601 351.5,-82.2619 351.5,-74.3618\"/>\n",
"<polygon fill=\"#4a4a4a\" stroke=\"#4a4a4a\" points=\"355.0001,-74.2184 351.5,-64.2184 348.0001,-74.2184 355.0001,-74.2184\"/>\n",
"</a>\n",
"</g>\n",
"</g>\n",
"<!-- theta_fnr -->\n",
"<g id=\"node3\" class=\"node\">\n",
"<title>theta_fnr</title>\n",
"<polygon fill=\"#f4a460\" stroke=\"#000000\" points=\"789.5,-230 509.5,-230 509.5,-100 789.5,-100 789.5,-230\"/>\n",
"<svg viewBox=\"0 0 371.265625 170.89675\" width=\"280px\" height=\"130px\" preserveAspectRatio=\"xMinYMin meet\" x=\"509.5\" y=\"-230\"> <metadata>\n",
" <rdf:RDF xmlns:dc=\"http://purl.org/dc/elements/1.1/\" xmlns:cc=\"http://creativecommons.org/ns#\" xmlns:rdf=\"http://www.w3.org/1999/02/22-rdf-syntax-ns#\">\n",
" <cc:Work>\n",
" <dc:type rdf:resource=\"http://purl.org/dc/dcmitype/StillImage\"/>\n",
" <dc:date>2022-07-11T02:49:42.840562</dc:date>\n",
" <dc:format>image/svg+xml</dc:format>\n",
" <dc:creator>\n",
" <cc:Agent>\n",
" <dc:title>Matplotlib v3.5.2, https://matplotlib.org/</dc:title>\n",
" </cc:Agent>\n",
" </dc:creator>\n",
" </cc:Work>\n",
" </rdf:RDF>\n",
" </metadata>\n",
" <defs>\n",
" <style type=\"text/css\">*{stroke-linejoin: round; stroke-linecap: butt}</style>\n",
" </defs>\n",
" <g id=\"figure_1\">\n",
" <g id=\"patch_1\">\n",
" <path d=\"M 0 170.89675 L 371.265625 170.89675 L 371.265625 0 L 0 0 z \" style=\"fill: #f4a460\"/>\n",
" </g>\n",
" <g id=\"axes_1\">\n",
" <g id=\"patch_2\">\n",
" <path d=\"M 32.865625 141.20925 L 367.665625 141.20925 L 367.665625 32.48925 L 32.865625 32.48925 z \" style=\"fill: #ffffff\"/>\n",
" </g>\n",
" <g id=\"PolyCollection_1\">\n",
" <defs>\n",
" <path id=\"m19a3656a0e\" d=\"M 32.865625 -29.6875 L 32.865625 -29.6875 L 33.985357 -29.6875 L 35.10509 -29.6875 L 36.224822 -133.230357 L 37.344555 -29.6875 L 38.464287 -29.6875 L 39.58402 -29.6875 L 40.703752 -29.6875 L 41.823485 -29.6875 L 42.943217 -29.6875 L 44.062949 -29.6875 L 45.182682 -29.6875 L 46.302414 -29.6875 L 47.422147 -29.6875 L 48.541879 -29.6875 L 49.661612 -29.6875 L 50.781344 -29.6875 L 51.901077 -29.6875 L 53.020809 -29.6875 L 54.140541 -29.6875 L 55.260274 -29.6875 L 56.380006 -29.6875 L 57.499739 -29.6875 L 58.619471 -29.6875 L 59.739204 -29.6875 L 60.858936 -29.6875 L 61.978668 -29.6875 L 63.098401 -29.6875 L 64.218133 -29.6875 L 65.337866 -29.6875 L 66.457598 -29.6875 L 67.577331 -29.6875 L 68.697063 -29.6875 L 69.816796 -29.6875 L 70.936528 -29.6875 L 72.05626 -29.6875 L 73.175993 -29.6875 L 74.295725 -29.6875 L 75.415458 -29.6875 L 76.53519 -29.6875 L 77.654923 -29.6875 L 78.774655 -29.6875 L 79.894388 -29.6875 L 81.01412 -29.6875 L 82.133852 -29.6875 L 83.253585 -29.6875 L 84.373317 -29.6875 L 85.49305 -29.6875 L 86.612782 -29.6875 L 87.732515 -29.6875 L 88.852247 -29.6875 L 89.97198 -29.6875 L 91.091712 -29.6875 L 92.211444 -29.6875 L 93.331177 -29.6875 L 94.450909 -29.6875 L 95.570642 -29.6875 L 96.690374 -29.6875 L 97.810107 -29.6875 L 98.929839 -29.6875 L 100.049571 -29.6875 L 101.169304 -29.6875 L 102.289036 -29.6875 L 103.408769 -29.6875 L 104.528501 -29.6875 L 105.648234 -29.6875 L 106.767966 -29.6875 L 107.887699 -29.6875 L 109.007431 -29.6875 L 110.127163 -29.6875 L 111.246896 -29.6875 L 112.366628 -29.6875 L 113.486361 -29.6875 L 114.606093 -29.6875 L 115.725826 -29.6875 L 116.845558 -29.6875 L 117.965291 -29.6875 L 119.085023 -29.6875 L 120.204755 -29.6875 L 121.324488 -29.6875 L 122.44422 -29.6875 L 123.563953 -29.6875 L 124.683685 -29.6875 L 125.803418 -29.6875 L 126.92315 -29.6875 L 128.042883 -29.6875 L 129.162615 -29.6875 L 130.282347 -29.6875 L 131.40208 -29.6875 L 132.521812 -29.6875 L 133.641545 -29.6875 L 134.761277 -29.6875 L 135.88101 -29.6875 L 137.000742 -29.6875 L 138.120474 -29.6875 L 139.240207 -29.6875 L 140.359939 -29.6875 L 141.479672 -29.6875 L 142.599404 -29.6875 L 143.719137 -29.6875 L 144.838869 -29.6875 L 145.958602 -29.6875 L 147.078334 -29.6875 L 148.198066 -29.6875 L 149.317799 -29.6875 L 150.437531 -29.6875 L 151.557264 -29.6875 L 152.676996 -29.6875 L 153.796729 -29.6875 L 154.916461 -29.6875 L 156.036194 -29.6875 L 157.155926 -29.6875 L 158.275658 -29.6875 L 159.395391 -29.6875 L 160.515123 -29.6875 L 161.634856 -29.6875 L 162.754588 -29.6875 L 163.874321 -29.6875 L 164.994053 -29.6875 L 166.113786 -29.6875 L 167.233518 -29.6875 L 168.35325 -29.6875 L 169.472983 -29.6875 L 170.592715 -29.6875 L 171.712448 -29.6875 L 172.83218 -29.6875 L 173.951913 -29.6875 L 175.071645 -29.6875 L 176.191378 -29.6875 L 177.31111 -29.6875 L 178.430842 -29.6875 L 179.550575 -29.6875 L 180.670307 -29.6875 L 181.79004 -29.6875 L 182.909772 -29.6875 L 184.029505 -29.6875 L 185.149237 -29.6875 L 186.268969 -29.6875 L 187.388702 -29.6875 L 188.508434 -29.6875 L 189.628167 -29.6875 L 190.747899 -29.6875 L 191.867632 -29.6875 L 192.987364 -29.6875 L 194.107097 -29.6875 L 195.226829 -29.6875 L 196.346561 -29.6875 L 197.466294 -29.6875 L 198.586026 -29.6875 L 199.705759 -29.6875 L 200.825491 -29.6875 L 201.945224 -29.6875 L 203.064956 -29.6875 L 204.184689 -29.6875 L 205.304421 -29.6875 L 206.424153 -29.6875 L 207.543886 -29.6875 L 208.663618 -29.6875 L 209.783351 -29.6875 L 210.903083 -29.6875 L 212.022816 -29.6875 L 213.142548 -29.6875 L 214.262281 -29.6875 L 215.382013 -29.6875 L 216.501745 -29.6875 L 217.621478 -29.6875 L 218.74121 -29.6875 L 219.860943 -29.6875 L 220.980675 -29.6875 L 222.100408 -29.6875 L 223.22014 -29.6875 L 224.339872 -29.6875 L 225.459605 -29.6875 L 226.579337 -29.6875 L 227.69907 -29.6875 L 228.818802 -29.6875 L 229.938535 -29.6875 L 231.058267 -29.6875 L 232.178 -29.6875 L 233.297732 -29.6875 L 234.417464 -29.6875 L 235.537197 -29.6875 L 236.656929 -29.6875 L 237.776662 -29.6875 L 238.896394 -29.6875 L 240.016127 -29.6875 L 241.135859 -29.6875 L 242.255592 -29.6875 L 243.375324 -29.6875 L 244.495056 -29.6875 L 245.614789 -29.6875 L 246.734521 -29.6875 L 247.854254 -29.6875 L 248.973986 -29.6875 L 250.093719 -29.6875 L 251.213451 -29.6875 L 252.333184 -29.6875 L 253.452916 -29.6875 L 254.572648 -29.6875 L 255.692381 -29.6875 L 256.812113 -29.6875 L 257.931846 -29.6875 L 259.051578 -29.6875 L 260.171311 -29.6875 L 261.291043 -29.6875 L 262.410776 -29.6875 L 263.530508 -29.6875 L 264.65024 -29.6875 L 265.769973 -29.6875 L 266.889705 -29.6875 L 268.009438 -29.6875 L 269.12917 -29.6875 L 270.248903 -29.6875 L 271.368635 -29.6875 L 272.488367 -29.6875 L 273.6081 -29.6875 L 274.727832 -29.6875 L 275.847565 -29.6875 L 276.967297 -29.6875 L 278.08703 -29.6875 L 279.206762 -29.6875 L 280.326495 -29.6875 L 281.446227 -29.6875 L 282.565959 -29.6875 L 283.685692 -29.6875 L 284.805424 -29.6875 L 285.925157 -29.6875 L 287.044889 -29.6875 L 288.164622 -29.6875 L 289.284354 -29.6875 L 290.404087 -29.6875 L 291.523819 -29.6875 L 292.643551 -29.6875 L 293.763284 -29.6875 L 294.883016 -29.6875 L 296.002749 -29.6875 L 297.122481 -29.6875 L 298.242214 -29.6875 L 299.361946 -29.6875 L 300.481679 -29.6875 L 301.601411 -29.6875 L 302.721143 -29.6875 L 303.840876 -29.6875 L 304.960608 -29.6875 L 306.080341 -29.6875 L 307.200073 -29.6875 L 308.319806 -29.6875 L 309.439538 -29.6875 L 310.55927 -29.6875 L 311.679003 -29.6875 L 312.798735 -29.6875 L 313.918468 -29.6875 L 315.0382 -29.6875 L 316.157933 -29.6875 L 317.277665 -29.6875 L 318.397398 -29.6875 L 319.51713 -29.6875 L 320.636862 -29.6875 L 321.756595 -29.6875 L 322.876327 -29.6875 L 323.99606 -29.6875 L 325.115792 -29.6875 L 326.235525 -29.6875 L 327.355257 -29.6875 L 328.47499 -29.6875 L 329.594722 -29.6875 L 330.714454 -29.6875 L 331.834187 -29.6875 L 332.953919 -29.6875 L 334.073652 -29.6875 L 335.193384 -29.6875 L 336.313117 -29.6875 L 337.432849 -29.6875 L 338.552582 -29.6875 L 339.672314 -29.6875 L 340.792046 -29.6875 L 341.911779 -29.6875 L 343.031511 -29.6875 L 344.151244 -29.6875 L 345.270976 -29.6875 L 346.390709 -29.6875 L 347.510441 -29.6875 L 348.630173 -29.6875 L 349.749906 -29.6875 L 350.869638 -29.6875 L 351.989371 -29.6875 L 353.109103 -29.6875 L 354.228836 -29.6875 L 355.348568 -29.6875 L 356.468301 -29.6875 L 357.588033 -29.6875 L 358.707765 -29.6875 L 359.827498 -29.6875 L 360.94723 -29.6875 L 362.066963 -29.6875 L 363.186695 -29.6875 L 364.306428 -29.6875 L 365.42616 -29.6875 L 366.545893 -29.6875 L 367.665625 -29.6875 L 367.665625 -29.6875 L 367.665625 -29.6875 L 366.545893 -29.6875 L 365.42616 -29.6875 L 364.306428 -29.6875 L 363.186695 -29.6875 L 362.066963 -29.6875 L 360.94723 -29.6875 L 359.827498 -29.6875 L 358.707765 -29.6875 L 357.588033 -29.6875 L 356.468301 -29.6875 L 355.348568 -29.6875 L 354.228836 -29.6875 L 353.109103 -29.6875 L 351.989371 -29.6875 L 350.869638 -29.6875 L 349.749906 -29.6875 L 348.630173 -29.6875 L 347.510441 -29.6875 L 346.390709 -29.6875 L 345.270976 -29.6875 L 344.151244 -29.6875 L 343.031511 -29.6875 L 341.911779 -29.6875 L 340.792046 -29.6875 L 339.672314 -29.6875 L 338.552582 -29.6875 L 337.432849 -29.6875 L 336.313117 -29.6875 L 335.193384 -29.6875 L 334.073652 -29.6875 L 332.953919 -29.6875 L 331.834187 -29.6875 L 330.714454 -29.6875 L 329.594722 -29.6875 L 328.47499 -29.6875 L 327.355257 -29.6875 L 326.235525 -29.6875 L 325.115792 -29.6875 L 323.99606 -29.6875 L 322.876327 -29.6875 L 321.756595 -29.6875 L 320.636862 -29.6875 L 319.51713 -29.6875 L 318.397398 -29.6875 L 317.277665 -29.6875 L 316.157933 -29.6875 L 315.0382 -29.6875 L 313.918468 -29.6875 L 312.798735 -29.6875 L 311.679003 -29.6875 L 310.55927 -29.6875 L 309.439538 -29.6875 L 308.319806 -29.6875 L 307.200073 -29.6875 L 306.080341 -29.6875 L 304.960608 -29.6875 L 303.840876 -29.6875 L 302.721143 -29.6875 L 301.601411 -29.6875 L 300.481679 -29.6875 L 299.361946 -29.6875 L 298.242214 -29.6875 L 297.122481 -29.6875 L 296.002749 -29.6875 L 294.883016 -29.6875 L 293.763284 -29.6875 L 292.643551 -29.6875 L 291.523819 -29.6875 L 290.404087 -29.6875 L 289.284354 -29.6875 L 288.164622 -29.6875 L 287.044889 -29.6875 L 285.925157 -29.6875 L 284.805424 -29.6875 L 283.685692 -29.6875 L 282.565959 -29.6875 L 281.446227 -29.6875 L 280.326495 -29.6875 L 279.206762 -29.6875 L 278.08703 -29.6875 L 276.967297 -29.6875 L 275.847565 -29.6875 L 274.727832 -29.6875 L 273.6081 -29.6875 L 272.488367 -29.6875 L 271.368635 -29.6875 L 270.248903 -29.6875 L 269.12917 -29.6875 L 268.009438 -29.6875 L 266.889705 -29.6875 L 265.769973 -29.6875 L 264.65024 -29.6875 L 263.530508 -29.6875 L 262.410776 -29.6875 L 261.291043 -29.6875 L 260.171311 -29.6875 L 259.051578 -29.6875 L 257.931846 -29.6875 L 256.812113 -29.6875 L 255.692381 -29.6875 L 254.572648 -29.6875 L 253.452916 -29.6875 L 252.333184 -29.6875 L 251.213451 -29.6875 L 250.093719 -29.6875 L 248.973986 -29.6875 L 247.854254 -29.6875 L 246.734521 -29.6875 L 245.614789 -29.6875 L 244.495056 -29.6875 L 243.375324 -29.6875 L 242.255592 -29.6875 L 241.135859 -29.6875 L 240.016127 -29.6875 L 238.896394 -29.6875 L 237.776662 -29.6875 L 236.656929 -29.6875 L 235.537197 -29.6875 L 234.417464 -29.6875 L 233.297732 -29.6875 L 232.178 -29.6875 L 231.058267 -29.6875 L 229.938535 -29.6875 L 228.818802 -29.6875 L 227.69907 -29.6875 L 226.579337 -29.6875 L 225.459605 -29.6875 L 224.339872 -29.6875 L 223.22014 -29.6875 L 222.100408 -29.6875 L 220.980675 -29.6875 L 219.860943 -29.6875 L 218.74121 -29.6875 L 217.621478 -29.6875 L 216.501745 -29.6875 L 215.382013 -29.6875 L 214.262281 -29.6875 L 213.142548 -29.6875 L 212.022816 -29.6875 L 210.903083 -29.6875 L 209.783351 -29.6875 L 208.663618 -29.6875 L 207.543886 -29.6875 L 206.424153 -29.6875 L 205.304421 -29.6875 L 204.184689 -29.6875 L 203.064956 -29.6875 L 201.945224 -29.6875 L 200.825491 -29.6875 L 199.705759 -29.6875 L 198.586026 -29.6875 L 197.466294 -29.6875 L 196.346561 -29.6875 L 195.226829 -29.6875 L 194.107097 -29.6875 L 192.987364 -29.6875 L 191.867632 -29.6875 L 190.747899 -29.6875 L 189.628167 -29.6875 L 188.508434 -29.6875 L 187.388702 -29.6875 L 186.268969 -29.6875 L 185.149237 -29.6875 L 184.029505 -29.6875 L 182.909772 -29.6875 L 181.79004 -29.6875 L 180.670307 -29.6875 L 179.550575 -29.6875 L 178.430842 -29.6875 L 177.31111 -29.6875 L 176.191378 -29.6875 L 175.071645 -29.6875 L 173.951913 -29.6875 L 172.83218 -29.6875 L 171.712448 -29.6875 L 170.592715 -29.6875 L 169.472983 -29.6875 L 168.35325 -29.6875 L 167.233518 -29.6875 L 166.113786 -29.6875 L 164.994053 -29.6875 L 163.874321 -29.6875 L 162.754588 -29.6875 L 161.634856 -29.6875 L 160.515123 -29.6875 L 159.395391 -29.6875 L 158.275658 -29.6875 L 157.155926 -29.6875 L 156.036194 -29.6875 L 154.916461 -29.6875 L 153.796729 -29.6875 L 152.676996 -29.6875 L 151.557264 -29.6875 L 150.437531 -29.6875 L 149.317799 -29.6875 L 148.198066 -29.6875 L 147.078334 -29.6875 L 145.958602 -29.6875 L 144.838869 -29.6875 L 143.719137 -29.6875 L 142.599404 -29.6875 L 141.479672 -29.6875 L 140.359939 -29.6875 L 139.240207 -29.6875 L 138.120474 -29.6875 L 137.000742 -29.6875 L 135.88101 -29.6875 L 134.761277 -29.6875 L 133.641545 -29.6875 L 132.521812 -29.6875 L 131.40208 -29.6875 L 130.282347 -29.6875 L 129.162615 -29.6875 L 128.042883 -29.6875 L 126.92315 -29.6875 L 125.803418 -29.6875 L 124.683685 -29.6875 L 123.563953 -29.6875 L 122.44422 -29.6875 L 121.324488 -29.6875 L 120.204755 -29.6875 L 119.085023 -29.6875 L 117.965291 -29.6875 L 116.845558 -29.6875 L 115.725826 -29.6875 L 114.606093 -29.6875 L 113.486361 -29.6875 L 112.366628 -29.6875 L 111.246896 -29.6875 L 110.127163 -29.6875 L 109.007431 -29.6875 L 107.887699 -29.6875 L 106.767966 -29.6875 L 105.648234 -29.6875 L 104.528501 -29.6875 L 103.408769 -29.6875 L 102.289036 -29.6875 L 101.169304 -29.6875 L 100.049571 -29.6875 L 98.929839 -29.6875 L 97.810107 -29.6875 L 96.690374 -29.6875 L 95.570642 -29.6875 L 94.450909 -29.6875 L 93.331177 -29.6875 L 92.211444 -29.6875 L 91.091712 -29.6875 L 89.97198 -29.6875 L 88.852247 -29.6875 L 87.732515 -29.6875 L 86.612782 -29.6875 L 85.49305 -29.6875 L 84.373317 -29.6875 L 83.253585 -29.6875 L 82.133852 -29.6875 L 81.01412 -29.6875 L 79.894388 -29.6875 L 78.774655 -29.6875 L 77.654923 -29.6875 L 76.53519 -29.6875 L 75.415458 -29.6875 L 74.295725 -29.6875 L 73.175993 -29.6875 L 72.05626 -29.6875 L 70.936528 -29.6875 L 69.816796 -29.6875 L 68.697063 -29.6875 L 67.577331 -29.6875 L 66.457598 -29.6875 L 65.337866 -29.6875 L 64.218133 -29.6875 L 63.098401 -29.6875 L 61.978668 -29.6875 L 60.858936 -29.6875 L 59.739204 -29.6875 L 58.619471 -29.6875 L 57.499739 -29.6875 L 56.380006 -29.6875 L 55.260274 -29.6875 L 54.140541 -29.6875 L 53.020809 -29.6875 L 51.901077 -29.6875 L 50.781344 -29.6875 L 49.661612 -29.6875 L 48.541879 -29.6875 L 47.422147 -29.6875 L 46.302414 -29.6875 L 45.182682 -29.6875 L 44.062949 -29.6875 L 42.943217 -29.6875 L 41.823485 -29.6875 L 40.703752 -29.6875 L 39.58402 -29.6875 L 38.464287 -29.6875 L 37.344555 -29.6875 L 36.224822 -29.6875 L 35.10509 -29.6875 L 33.985357 -29.6875 L 32.865625 -29.6875 z \" style=\"stroke: #8fbc8f\"/>\n",
" </defs>\n",
" <g clip-path=\"url(#pb1897fde50)\">\n",
" <use xlink:href=\"#m19a3656a0e\" x=\"0\" y=\"170.89675\" style=\"fill: #8fbc8f; stroke: #8fbc8f\"/>\n",
" </g>\n",
" </g>\n",
" <g id=\"matplotlib.axis_1\">\n",
" <g id=\"xtick_1\">\n",
" <g id=\"line2d_1\">\n",
" <path d=\"M 32.865625 141.20925 L 32.865625 32.48925 \" clip-path=\"url(#pb1897fde50)\" style=\"fill: none; stroke: #b0b0b0; stroke-width: 0.8; stroke-linecap: square\"/>\n",
" </g>\n",
" <g id=\"line2d_2\">\n",
" <defs>\n",
" <path id=\"me51c987147\" d=\"M 0 0 L 0 3.5 \" style=\"stroke: #000000; stroke-width: 0.8\"/>\n",
" </defs>\n",
" <g>\n",
" <use xlink:href=\"#me51c987147\" x=\"32.865625\" y=\"141.20925\" style=\"stroke: #000000; stroke-width: 0.8\"/>\n",
" </g>\n",
" </g>\n",
" <g id=\"text_1\">\n",
" <!-- 0 -->\n",
" <g transform=\"translate(35.625 154.57175)rotate(-90)scale(0.1 -0.1)\">\n",
" <defs>\n",
" <path id=\"DejaVuSans-30\" d=\"M 2034 4250 Q 1547 4250 1301 3770 Q 1056 3291 1056 2328 Q 1056 1369 1301 889 Q 1547 409 2034 409 Q 2525 409 2770 889 Q 3016 1369 3016 2328 Q 3016 3291 2770 3770 Q 2525 4250 2034 4250 z M 2034 4750 Q 2819 4750 3233 4129 Q 3647 3509 3647 2328 Q 3647 1150 3233 529 Q 2819 -91 2034 -91 Q 1250 -91 836 529 Q 422 1150 422 2328 Q 422 3509 836 4129 Q 1250 4750 2034 4750 z \" transform=\"scale(0.015625)\"/>\n",
" </defs>\n",
" <use xlink:href=\"#DejaVuSans-30\"/>\n",
" </g>\n",
" </g>\n",
" </g>\n",
" <g id=\"xtick_2\">\n",
" <g id=\"line2d_3\">\n",
" <path d=\"M 55.260274 141.20925 L 55.260274 32.48925 \" clip-path=\"url(#pb1897fde50)\" style=\"fill: none; stroke: #b0b0b0; stroke-width: 0.8; stroke-linecap: square\"/>\n",
" </g>\n",
" <g id=\"line2d_4\">\n",
" <g>\n",
" <use xlink:href=\"#me51c987147\" x=\"55.260274\" y=\"141.20925\" style=\"stroke: #000000; stroke-width: 0.8\"/>\n",
" </g>\n",
" </g>\n",
" <g id=\"text_2\">\n",
" <!-- 20 -->\n",
" <g transform=\"translate(58.019649 160.93425)rotate(-90)scale(0.1 -0.1)\">\n",
" <defs>\n",
" <path id=\"DejaVuSans-32\" d=\"M 1228 531 L 3431 531 L 3431 0 L 469 0 L 469 531 Q 828 903 1448 1529 Q 2069 2156 2228 2338 Q 2531 2678 2651 2914 Q 2772 3150 2772 3378 Q 2772 3750 2511 3984 Q 2250 4219 1831 4219 Q 1534 4219 1204 4116 Q 875 4013 500 3803 L 500 4441 Q 881 4594 1212 4672 Q 1544 4750 1819 4750 Q 2544 4750 2975 4387 Q 3406 4025 3406 3419 Q 3406 3131 3298 2873 Q 3191 2616 2906 2266 Q 2828 2175 2409 1742 Q 1991 1309 1228 531 z \" transform=\"scale(0.015625)\"/>\n",
" </defs>\n",
" <use xlink:href=\"#DejaVuSans-32\"/>\n",
" <use xlink:href=\"#DejaVuSans-30\" x=\"63.623047\"/>\n",
" </g>\n",
" </g>\n",
" </g>\n",
" <g id=\"xtick_3\">\n",
" <g id=\"line2d_5\">\n",
" <path d=\"M 77.654923 141.20925 L 77.654923 32.48925 \" clip-path=\"url(#pb1897fde50)\" style=\"fill: none; stroke: #b0b0b0; stroke-width: 0.8; stroke-linecap: square\"/>\n",
" </g>\n",
" <g id=\"line2d_6\">\n",
" <g>\n",
" <use xlink:href=\"#me51c987147\" x=\"77.654923\" y=\"141.20925\" style=\"stroke: #000000; stroke-width: 0.8\"/>\n",
" </g>\n",
" </g>\n",
" <g id=\"text_3\">\n",
" <!-- 40 -->\n",
" <g transform=\"translate(80.414298 160.93425)rotate(-90)scale(0.1 -0.1)\">\n",
" <defs>\n",
" <path id=\"DejaVuSans-34\" d=\"M 2419 4116 L 825 1625 L 2419 1625 L 2419 4116 z M 2253 4666 L 3047 4666 L 3047 1625 L 3713 1625 L 3713 1100 L 3047 1100 L 3047 0 L 2419 0 L 2419 1100 L 313 1100 L 313 1709 L 2253 4666 z \" transform=\"scale(0.015625)\"/>\n",
" </defs>\n",
" <use xlink:href=\"#DejaVuSans-34\"/>\n",
" <use xlink:href=\"#DejaVuSans-30\" x=\"63.623047\"/>\n",
" </g>\n",
" </g>\n",
" </g>\n",
" <g id=\"xtick_4\">\n",
" <g id=\"line2d_7\">\n",
" <path d=\"M 100.049571 141.20925 L 100.049571 32.48925 \" clip-path=\"url(#pb1897fde50)\" style=\"fill: none; stroke: #b0b0b0; stroke-width: 0.8; stroke-linecap: square\"/>\n",
" </g>\n",
" <g id=\"line2d_8\">\n",
" <g>\n",
" <use xlink:href=\"#me51c987147\" x=\"100.049571\" y=\"141.20925\" style=\"stroke: #000000; stroke-width: 0.8\"/>\n",
" </g>\n",
" </g>\n",
" <g id=\"text_4\">\n",
" <!-- 60 -->\n",
" <g transform=\"translate(102.808946 160.93425)rotate(-90)scale(0.1 -0.1)\">\n",
" <defs>\n",
" <path id=\"DejaVuSans-36\" d=\"M 2113 2584 Q 1688 2584 1439 2293 Q 1191 2003 1191 1497 Q 1191 994 1439 701 Q 1688 409 2113 409 Q 2538 409 2786 701 Q 3034 994 3034 1497 Q 3034 2003 2786 2293 Q 2538 2584 2113 2584 z M 3366 4563 L 3366 3988 Q 3128 4100 2886 4159 Q 2644 4219 2406 4219 Q 1781 4219 1451 3797 Q 1122 3375 1075 2522 Q 1259 2794 1537 2939 Q 1816 3084 2150 3084 Q 2853 3084 3261 2657 Q 3669 2231 3669 1497 Q 3669 778 3244 343 Q 2819 -91 2113 -91 Q 1303 -91 875 529 Q 447 1150 447 2328 Q 447 3434 972 4092 Q 1497 4750 2381 4750 Q 2619 4750 2861 4703 Q 3103 4656 3366 4563 z \" transform=\"scale(0.015625)\"/>\n",
" </defs>\n",
" <use xlink:href=\"#DejaVuSans-36\"/>\n",
" <use xlink:href=\"#DejaVuSans-30\" x=\"63.623047\"/>\n",
" </g>\n",
" </g>\n",
" </g>\n",
" <g id=\"xtick_5\">\n",
" <g id=\"line2d_9\">\n",
" <path d=\"M 122.44422 141.20925 L 122.44422 32.48925 \" clip-path=\"url(#pb1897fde50)\" style=\"fill: none; stroke: #b0b0b0; stroke-width: 0.8; stroke-linecap: square\"/>\n",
" </g>\n",
" <g id=\"line2d_10\">\n",
" <g>\n",
" <use xlink:href=\"#me51c987147\" x=\"122.44422\" y=\"141.20925\" style=\"stroke: #000000; stroke-width: 0.8\"/>\n",
" </g>\n",
" </g>\n",
" <g id=\"text_5\">\n",
" <!-- 80 -->\n",
" <g transform=\"translate(125.203595 160.93425)rotate(-90)scale(0.1 -0.1)\">\n",
" <defs>\n",
" <path id=\"DejaVuSans-38\" d=\"M 2034 2216 Q 1584 2216 1326 1975 Q 1069 1734 1069 1313 Q 1069 891 1326 650 Q 1584 409 2034 409 Q 2484 409 2743 651 Q 3003 894 3003 1313 Q 3003 1734 2745 1975 Q 2488 2216 2034 2216 z M 1403 2484 Q 997 2584 770 2862 Q 544 3141 544 3541 Q 544 4100 942 4425 Q 1341 4750 2034 4750 Q 2731 4750 3128 4425 Q 3525 4100 3525 3541 Q 3525 3141 3298 2862 Q 3072 2584 2669 2484 Q 3125 2378 3379 2068 Q 3634 1759 3634 1313 Q 3634 634 3220 271 Q 2806 -91 2034 -91 Q 1263 -91 848 271 Q 434 634 434 1313 Q 434 1759 690 2068 Q 947 2378 1403 2484 z M 1172 3481 Q 1172 3119 1398 2916 Q 1625 2713 2034 2713 Q 2441 2713 2670 2916 Q 2900 3119 2900 3481 Q 2900 3844 2670 4047 Q 2441 4250 2034 4250 Q 1625 4250 1398 4047 Q 1172 3844 1172 3481 z \" transform=\"scale(0.015625)\"/>\n",
" </defs>\n",
" <use xlink:href=\"#DejaVuSans-38\"/>\n",
" <use xlink:href=\"#DejaVuSans-30\" x=\"63.623047\"/>\n",
" </g>\n",
" </g>\n",
" </g>\n",
" <g id=\"xtick_6\">\n",
" <g id=\"line2d_11\">\n",
" <path d=\"M 144.838869 141.20925 L 144.838869 32.48925 \" clip-path=\"url(#pb1897fde50)\" style=\"fill: none; stroke: #b0b0b0; stroke-width: 0.8; stroke-linecap: square\"/>\n",
" </g>\n",
" <g id=\"line2d_12\">\n",
" <g>\n",
" <use xlink:href=\"#me51c987147\" x=\"144.838869\" y=\"141.20925\" style=\"stroke: #000000; stroke-width: 0.8\"/>\n",
" </g>\n",
" </g>\n",
" <g id=\"text_6\">\n",
" <!-- 100 -->\n",
" <g transform=\"translate(147.598244 167.29675)rotate(-90)scale(0.1 -0.1)\">\n",
" <defs>\n",
" <path id=\"DejaVuSans-31\" d=\"M 794 531 L 1825 531 L 1825 4091 L 703 3866 L 703 4441 L 1819 4666 L 2450 4666 L 2450 531 L 3481 531 L 3481 0 L 794 0 L 794 531 z \" transform=\"scale(0.015625)\"/>\n",
" </defs>\n",
" <use xlink:href=\"#DejaVuSans-31\"/>\n",
" <use xlink:href=\"#DejaVuSans-30\" x=\"63.623047\"/>\n",
" <use xlink:href=\"#DejaVuSans-30\" x=\"127.246094\"/>\n",
" </g>\n",
" </g>\n",
" </g>\n",
" <g id=\"xtick_7\">\n",
" <g id=\"line2d_13\">\n",
" <path d=\"M 167.233518 141.20925 L 167.233518 32.48925 \" clip-path=\"url(#pb1897fde50)\" style=\"fill: none; stroke: #b0b0b0; stroke-width: 0.8; stroke-linecap: square\"/>\n",
" </g>\n",
" <g id=\"line2d_14\">\n",
" <g>\n",
" <use xlink:href=\"#me51c987147\" x=\"167.233518\" y=\"141.20925\" style=\"stroke: #000000; stroke-width: 0.8\"/>\n",
" </g>\n",
" </g>\n",
" <g id=\"text_7\">\n",
" <!-- 120 -->\n",
" <g transform=\"translate(169.992893 167.29675)rotate(-90)scale(0.1 -0.1)\">\n",
" <use xlink:href=\"#DejaVuSans-31\"/>\n",
" <use xlink:href=\"#DejaVuSans-32\" x=\"63.623047\"/>\n",
" <use xlink:href=\"#DejaVuSans-30\" x=\"127.246094\"/>\n",
" </g>\n",
" </g>\n",
" </g>\n",
" <g id=\"xtick_8\">\n",
" <g id=\"line2d_15\">\n",
" <path d=\"M 189.628167 141.20925 L 189.628167 32.48925 \" clip-path=\"url(#pb1897fde50)\" style=\"fill: none; stroke: #b0b0b0; stroke-width: 0.8; stroke-linecap: square\"/>\n",
" </g>\n",
" <g id=\"line2d_16\">\n",
" <g>\n",
" <use xlink:href=\"#me51c987147\" x=\"189.628167\" y=\"141.20925\" style=\"stroke: #000000; stroke-width: 0.8\"/>\n",
" </g>\n",
" </g>\n",
" <g id=\"text_8\">\n",
" <!-- 140 -->\n",
" <g transform=\"translate(192.387542 167.29675)rotate(-90)scale(0.1 -0.1)\">\n",
" <use xlink:href=\"#DejaVuSans-31\"/>\n",
" <use xlink:href=\"#DejaVuSans-34\" x=\"63.623047\"/>\n",
" <use xlink:href=\"#DejaVuSans-30\" x=\"127.246094\"/>\n",
" </g>\n",
" </g>\n",
" </g>\n",
" <g id=\"xtick_9\">\n",
" <g id=\"line2d_17\">\n",
" <path d=\"M 212.022816 141.20925 L 212.022816 32.48925 \" clip-path=\"url(#pb1897fde50)\" style=\"fill: none; stroke: #b0b0b0; stroke-width: 0.8; stroke-linecap: square\"/>\n",
" </g>\n",
" <g id=\"line2d_18\">\n",
" <g>\n",
" <use xlink:href=\"#me51c987147\" x=\"212.022816\" y=\"141.20925\" style=\"stroke: #000000; stroke-width: 0.8\"/>\n",
" </g>\n",
" </g>\n",
" <g id=\"text_9\">\n",
" <!-- 160 -->\n",
" <g transform=\"translate(214.782191 167.29675)rotate(-90)scale(0.1 -0.1)\">\n",
" <use xlink:href=\"#DejaVuSans-31\"/>\n",
" <use xlink:href=\"#DejaVuSans-36\" x=\"63.623047\"/>\n",
" <use xlink:href=\"#DejaVuSans-30\" x=\"127.246094\"/>\n",
" </g>\n",
" </g>\n",
" </g>\n",
" <g id=\"xtick_10\">\n",
" <g id=\"line2d_19\">\n",
" <path d=\"M 234.417464 141.20925 L 234.417464 32.48925 \" clip-path=\"url(#pb1897fde50)\" style=\"fill: none; stroke: #b0b0b0; stroke-width: 0.8; stroke-linecap: square\"/>\n",
" </g>\n",
" <g id=\"line2d_20\">\n",
" <g>\n",
" <use xlink:href=\"#me51c987147\" x=\"234.417464\" y=\"141.20925\" style=\"stroke: #000000; stroke-width: 0.8\"/>\n",
" </g>\n",
" </g>\n",
" <g id=\"text_10\">\n",
" <!-- 180 -->\n",
" <g transform=\"translate(237.176839 167.29675)rotate(-90)scale(0.1 -0.1)\">\n",
" <use xlink:href=\"#DejaVuSans-31\"/>\n",
" <use xlink:href=\"#DejaVuSans-38\" x=\"63.623047\"/>\n",
" <use xlink:href=\"#DejaVuSans-30\" x=\"127.246094\"/>\n",
" </g>\n",
" </g>\n",
" </g>\n",
" <g id=\"xtick_11\">\n",
" <g id=\"line2d_21\">\n",
" <path d=\"M 256.812113 141.20925 L 256.812113 32.48925 \" clip-path=\"url(#pb1897fde50)\" style=\"fill: none; stroke: #b0b0b0; stroke-width: 0.8; stroke-linecap: square\"/>\n",
" </g>\n",
" <g id=\"line2d_22\">\n",
" <g>\n",
" <use xlink:href=\"#me51c987147\" x=\"256.812113\" y=\"141.20925\" style=\"stroke: #000000; stroke-width: 0.8\"/>\n",
" </g>\n",
" </g>\n",
" <g id=\"text_11\">\n",
" <!-- 200 -->\n",
" <g transform=\"translate(259.571488 167.29675)rotate(-90)scale(0.1 -0.1)\">\n",
" <use xlink:href=\"#DejaVuSans-32\"/>\n",
" <use xlink:href=\"#DejaVuSans-30\" x=\"63.623047\"/>\n",
" <use xlink:href=\"#DejaVuSans-30\" x=\"127.246094\"/>\n",
" </g>\n",
" </g>\n",
" </g>\n",
" <g id=\"xtick_12\">\n",
" <g id=\"line2d_23\">\n",
" <path d=\"M 279.206762 141.20925 L 279.206762 32.48925 \" clip-path=\"url(#pb1897fde50)\" style=\"fill: none; stroke: #b0b0b0; stroke-width: 0.8; stroke-linecap: square\"/>\n",
" </g>\n",
" <g id=\"line2d_24\">\n",
" <g>\n",
" <use xlink:href=\"#me51c987147\" x=\"279.206762\" y=\"141.20925\" style=\"stroke: #000000; stroke-width: 0.8\"/>\n",
" </g>\n",
" </g>\n",
" <g id=\"text_12\">\n",
" <!-- 220 -->\n",
" <g transform=\"translate(281.966137 167.29675)rotate(-90)scale(0.1 -0.1)\">\n",
" <use xlink:href=\"#DejaVuSans-32\"/>\n",
" <use xlink:href=\"#DejaVuSans-32\" x=\"63.623047\"/>\n",
" <use xlink:href=\"#DejaVuSans-30\" x=\"127.246094\"/>\n",
" </g>\n",
" </g>\n",
" </g>\n",
" <g id=\"xtick_13\">\n",
" <g id=\"line2d_25\">\n",
" <path d=\"M 301.601411 141.20925 L 301.601411 32.48925 \" clip-path=\"url(#pb1897fde50)\" style=\"fill: none; stroke: #b0b0b0; stroke-width: 0.8; stroke-linecap: square\"/>\n",
" </g>\n",
" <g id=\"line2d_26\">\n",
" <g>\n",
" <use xlink:href=\"#me51c987147\" x=\"301.601411\" y=\"141.20925\" style=\"stroke: #000000; stroke-width: 0.8\"/>\n",
" </g>\n",
" </g>\n",
" <g id=\"text_13\">\n",
" <!-- 240 -->\n",
" <g transform=\"translate(304.360786 167.29675)rotate(-90)scale(0.1 -0.1)\">\n",
" <use xlink:href=\"#DejaVuSans-32\"/>\n",
" <use xlink:href=\"#DejaVuSans-34\" x=\"63.623047\"/>\n",
" <use xlink:href=\"#DejaVuSans-30\" x=\"127.246094\"/>\n",
" </g>\n",
" </g>\n",
" </g>\n",
" <g id=\"xtick_14\">\n",
" <g id=\"line2d_27\">\n",
" <path d=\"M 323.99606 141.20925 L 323.99606 32.48925 \" clip-path=\"url(#pb1897fde50)\" style=\"fill: none; stroke: #b0b0b0; stroke-width: 0.8; stroke-linecap: square\"/>\n",
" </g>\n",
" <g id=\"line2d_28\">\n",
" <g>\n",
" <use xlink:href=\"#me51c987147\" x=\"323.99606\" y=\"141.20925\" style=\"stroke: #000000; stroke-width: 0.8\"/>\n",
" </g>\n",
" </g>\n",
" <g id=\"text_14\">\n",
" <!-- 260 -->\n",
" <g transform=\"translate(326.755435 167.29675)rotate(-90)scale(0.1 -0.1)\">\n",
" <use xlink:href=\"#DejaVuSans-32\"/>\n",
" <use xlink:href=\"#DejaVuSans-36\" x=\"63.623047\"/>\n",
" <use xlink:href=\"#DejaVuSans-30\" x=\"127.246094\"/>\n",
" </g>\n",
" </g>\n",
" </g>\n",
" <g id=\"xtick_15\">\n",
" <g id=\"line2d_29\">\n",
" <path d=\"M 346.390709 141.20925 L 346.390709 32.48925 \" clip-path=\"url(#pb1897fde50)\" style=\"fill: none; stroke: #b0b0b0; stroke-width: 0.8; stroke-linecap: square\"/>\n",
" </g>\n",
" <g id=\"line2d_30\">\n",
" <g>\n",
" <use xlink:href=\"#me51c987147\" x=\"346.390709\" y=\"141.20925\" style=\"stroke: #000000; stroke-width: 0.8\"/>\n",
" </g>\n",
" </g>\n",
" <g id=\"text_15\">\n",
" <!-- 280 -->\n",
" <g transform=\"translate(349.150084 167.29675)rotate(-90)scale(0.1 -0.1)\">\n",
" <use xlink:href=\"#DejaVuSans-32\"/>\n",
" <use xlink:href=\"#DejaVuSans-38\" x=\"63.623047\"/>\n",
" <use xlink:href=\"#DejaVuSans-30\" x=\"127.246094\"/>\n",
" </g>\n",
" </g>\n",
" </g>\n",
" </g>\n",
" <g id=\"matplotlib.axis_2\">\n",
" <g id=\"ytick_1\">\n",
" <g id=\"line2d_31\">\n",
" <path d=\"M 32.865625 141.20925 L 367.665625 141.20925 \" clip-path=\"url(#pb1897fde50)\" style=\"fill: none; stroke: #b0b0b0; stroke-width: 0.8; stroke-linecap: square\"/>\n",
" </g>\n",
" <g id=\"line2d_32\">\n",
" <defs>\n",
" <path id=\"m5b680389b7\" d=\"M 0 0 L -3.5 0 \" style=\"stroke: #000000; stroke-width: 0.8\"/>\n",
" </defs>\n",
" <g>\n",
" <use xlink:href=\"#m5b680389b7\" x=\"32.865625\" y=\"141.20925\" style=\"stroke: #000000; stroke-width: 0.8\"/>\n",
" </g>\n",
" </g>\n",
" <g id=\"text_16\">\n",
" <!-- 0.00 -->\n",
" <g transform=\"translate(3.6 145.008469)scale(0.1 -0.1)\">\n",
" <defs>\n",
" <path id=\"DejaVuSans-2e\" d=\"M 684 794 L 1344 794 L 1344 0 L 684 0 L 684 794 z \" transform=\"scale(0.015625)\"/>\n",
" </defs>\n",
" <use xlink:href=\"#DejaVuSans-30\"/>\n",
" <use xlink:href=\"#DejaVuSans-2e\" x=\"63.623047\"/>\n",
" <use xlink:href=\"#DejaVuSans-30\" x=\"95.410156\"/>\n",
" <use xlink:href=\"#DejaVuSans-30\" x=\"159.033203\"/>\n",
" </g>\n",
" </g>\n",
" </g>\n",
" <g id=\"ytick_2\">\n",
" <g id=\"line2d_33\">\n",
" <path d=\"M 32.865625 115.323536 L 367.665625 115.323536 \" clip-path=\"url(#pb1897fde50)\" style=\"fill: none; stroke: #b0b0b0; stroke-width: 0.8; stroke-linecap: square\"/>\n",
" </g>\n",
" <g id=\"line2d_34\">\n",
" <g>\n",
" <use xlink:href=\"#m5b680389b7\" x=\"32.865625\" y=\"115.323536\" style=\"stroke: #000000; stroke-width: 0.8\"/>\n",
" </g>\n",
" </g>\n",
" <g id=\"text_17\">\n",
" <!-- 0.25 -->\n",
" <g transform=\"translate(3.6 119.122754)scale(0.1 -0.1)\">\n",
" <defs>\n",
" <path id=\"DejaVuSans-35\" d=\"M 691 4666 L 3169 4666 L 3169 4134 L 1269 4134 L 1269 2991 Q 1406 3038 1543 3061 Q 1681 3084 1819 3084 Q 2600 3084 3056 2656 Q 3513 2228 3513 1497 Q 3513 744 3044 326 Q 2575 -91 1722 -91 Q 1428 -91 1123 -41 Q 819 9 494 109 L 494 744 Q 775 591 1075 516 Q 1375 441 1709 441 Q 2250 441 2565 725 Q 2881 1009 2881 1497 Q 2881 1984 2565 2268 Q 2250 2553 1709 2553 Q 1456 2553 1204 2497 Q 953 2441 691 2322 L 691 4666 z \" transform=\"scale(0.015625)\"/>\n",
" </defs>\n",
" <use xlink:href=\"#DejaVuSans-30\"/>\n",
" <use xlink:href=\"#DejaVuSans-2e\" x=\"63.623047\"/>\n",
" <use xlink:href=\"#DejaVuSans-32\" x=\"95.410156\"/>\n",
" <use xlink:href=\"#DejaVuSans-35\" x=\"159.033203\"/>\n",
" </g>\n",
" </g>\n",
" </g>\n",
" <g id=\"ytick_3\">\n",
" <g id=\"line2d_35\">\n",
" <path d=\"M 32.865625 89.437821 L 367.665625 89.437821 \" clip-path=\"url(#pb1897fde50)\" style=\"fill: none; stroke: #b0b0b0; stroke-width: 0.8; stroke-linecap: square\"/>\n",
" </g>\n",
" <g id=\"line2d_36\">\n",
" <g>\n",
" <use xlink:href=\"#m5b680389b7\" x=\"32.865625\" y=\"89.437821\" style=\"stroke: #000000; stroke-width: 0.8\"/>\n",
" </g>\n",
" </g>\n",
" <g id=\"text_18\">\n",
" <!-- 0.50 -->\n",
" <g transform=\"translate(3.6 93.23704)scale(0.1 -0.1)\">\n",
" <use xlink:href=\"#DejaVuSans-30\"/>\n",
" <use xlink:href=\"#DejaVuSans-2e\" x=\"63.623047\"/>\n",
" <use xlink:href=\"#DejaVuSans-35\" x=\"95.410156\"/>\n",
" <use xlink:href=\"#DejaVuSans-30\" x=\"159.033203\"/>\n",
" </g>\n",
" </g>\n",
" </g>\n",
" <g id=\"ytick_4\">\n",
" <g id=\"line2d_37\">\n",
" <path d=\"M 32.865625 63.552107 L 367.665625 63.552107 \" clip-path=\"url(#pb1897fde50)\" style=\"fill: none; stroke: #b0b0b0; stroke-width: 0.8; stroke-linecap: square\"/>\n",
" </g>\n",
" <g id=\"line2d_38\">\n",
" <g>\n",
" <use xlink:href=\"#m5b680389b7\" x=\"32.865625\" y=\"63.552107\" style=\"stroke: #000000; stroke-width: 0.8\"/>\n",
" </g>\n",
" </g>\n",
" <g id=\"text_19\">\n",
" <!-- 0.75 -->\n",
" <g transform=\"translate(3.6 67.351326)scale(0.1 -0.1)\">\n",
" <defs>\n",
" <path id=\"DejaVuSans-37\" d=\"M 525 4666 L 3525 4666 L 3525 4397 L 1831 0 L 1172 0 L 2766 4134 L 525 4134 L 525 4666 z \" transform=\"scale(0.015625)\"/>\n",
" </defs>\n",
" <use xlink:href=\"#DejaVuSans-30\"/>\n",
" <use xlink:href=\"#DejaVuSans-2e\" x=\"63.623047\"/>\n",
" <use xlink:href=\"#DejaVuSans-37\" x=\"95.410156\"/>\n",
" <use xlink:href=\"#DejaVuSans-35\" x=\"159.033203\"/>\n",
" </g>\n",
" </g>\n",
" </g>\n",
" <g id=\"ytick_5\">\n",
" <g id=\"line2d_39\">\n",
" <path d=\"M 32.865625 37.666393 L 367.665625 37.666393 \" clip-path=\"url(#pb1897fde50)\" style=\"fill: none; stroke: #b0b0b0; stroke-width: 0.8; stroke-linecap: square\"/>\n",
" </g>\n",
" <g id=\"line2d_40\">\n",
" <g>\n",
" <use xlink:href=\"#m5b680389b7\" x=\"32.865625\" y=\"37.666393\" style=\"stroke: #000000; stroke-width: 0.8\"/>\n",
" </g>\n",
" </g>\n",
" <g id=\"text_20\">\n",
" <!-- 1.00 -->\n",
" <g transform=\"translate(3.6 41.465612)scale(0.1 -0.1)\">\n",
" <use xlink:href=\"#DejaVuSans-31\"/>\n",
" <use xlink:href=\"#DejaVuSans-2e\" x=\"63.623047\"/>\n",
" <use xlink:href=\"#DejaVuSans-30\" x=\"95.410156\"/>\n",
" <use xlink:href=\"#DejaVuSans-30\" x=\"159.033203\"/>\n",
" </g>\n",
" </g>\n",
" </g>\n",
" </g>\n",
" <g id=\"patch_3\">\n",
" <path d=\"M 32.865625 141.20925 L 32.865625 32.48925 \" style=\"fill: none; stroke: #000000; stroke-width: 0.8; stroke-linejoin: miter; stroke-linecap: square\"/>\n",
" </g>\n",
" <g id=\"patch_4\">\n",
" <path d=\"M 367.665625 141.20925 L 367.665625 32.48925 \" style=\"fill: none; stroke: #000000; stroke-width: 0.8; stroke-linejoin: miter; stroke-linecap: square\"/>\n",
" </g>\n",
" <g id=\"patch_5\">\n",
" <path d=\"M 32.865625 141.20925 L 367.665625 141.20925 \" style=\"fill: none; stroke: #000000; stroke-width: 0.8; stroke-linejoin: miter; stroke-linecap: square\"/>\n",
" </g>\n",
" <g id=\"patch_6\">\n",
" <path d=\"M 32.865625 32.48925 L 367.665625 32.48925 \" style=\"fill: none; stroke: #000000; stroke-width: 0.8; stroke-linejoin: miter; stroke-linecap: square\"/>\n",
" </g>\n",
" <g id=\"text_21\">\n",
" <!-- theta_fnr -->\n",
" <g transform=\"translate(173.00875 12.718125)scale(0.12 -0.12)\">\n",
" <defs>\n",
" <path id=\"DejaVuSans-74\" d=\"M 1172 4494 L 1172 3500 L 2356 3500 L 2356 3053 L 1172 3053 L 1172 1153 Q 1172 725 1289 603 Q 1406 481 1766 481 L 2356 481 L 2356 0 L 1766 0 Q 1100 0 847 248 Q 594 497 594 1153 L 594 3053 L 172 3053 L 172 3500 L 594 3500 L 594 4494 L 1172 4494 z \" transform=\"scale(0.015625)\"/>\n",
" <path id=\"DejaVuSans-68\" d=\"M 3513 2113 L 3513 0 L 2938 0 L 2938 2094 Q 2938 2591 2744 2837 Q 2550 3084 2163 3084 Q 1697 3084 1428 2787 Q 1159 2491 1159 1978 L 1159 0 L 581 0 L 581 4863 L 1159 4863 L 1159 2956 Q 1366 3272 1645 3428 Q 1925 3584 2291 3584 Q 2894 3584 3203 3211 Q 3513 2838 3513 2113 z \" transform=\"scale(0.015625)\"/>\n",
" <path id=\"DejaVuSans-65\" d=\"M 3597 1894 L 3597 1613 L 953 1613 Q 991 1019 1311 708 Q 1631 397 2203 397 Q 2534 397 2845 478 Q 3156 559 3463 722 L 3463 178 Q 3153 47 2828 -22 Q 2503 -91 2169 -91 Q 1331 -91 842 396 Q 353 884 353 1716 Q 353 2575 817 3079 Q 1281 3584 2069 3584 Q 2775 3584 3186 3129 Q 3597 2675 3597 1894 z M 3022 2063 Q 3016 2534 2758 2815 Q 2500 3097 2075 3097 Q 1594 3097 1305 2825 Q 1016 2553 972 2059 L 3022 2063 z \" transform=\"scale(0.015625)\"/>\n",
" <path id=\"DejaVuSans-61\" d=\"M 2194 1759 Q 1497 1759 1228 1600 Q 959 1441 959 1056 Q 959 750 1161 570 Q 1363 391 1709 391 Q 2188 391 2477 730 Q 2766 1069 2766 1631 L 2766 1759 L 2194 1759 z M 3341 1997 L 3341 0 L 2766 0 L 2766 531 Q 2569 213 2275 61 Q 1981 -91 1556 -91 Q 1019 -91 701 211 Q 384 513 384 1019 Q 384 1609 779 1909 Q 1175 2209 1959 2209 L 2766 2209 L 2766 2266 Q 2766 2663 2505 2880 Q 2244 3097 1772 3097 Q 1472 3097 1187 3025 Q 903 2953 641 2809 L 641 3341 Q 956 3463 1253 3523 Q 1550 3584 1831 3584 Q 2591 3584 2966 3190 Q 3341 2797 3341 1997 z \" transform=\"scale(0.015625)\"/>\n",
" <path id=\"DejaVuSans-5f\" d=\"M 3263 -1063 L 3263 -1509 L -63 -1509 L -63 -1063 L 3263 -1063 z \" transform=\"scale(0.015625)\"/>\n",
" <path id=\"DejaVuSans-66\" d=\"M 2375 4863 L 2375 4384 L 1825 4384 Q 1516 4384 1395 4259 Q 1275 4134 1275 3809 L 1275 3500 L 2222 3500 L 2222 3053 L 1275 3053 L 1275 0 L 697 0 L 697 3053 L 147 3053 L 147 3500 L 697 3500 L 697 3744 Q 697 4328 969 4595 Q 1241 4863 1831 4863 L 2375 4863 z \" transform=\"scale(0.015625)\"/>\n",
" <path id=\"DejaVuSans-6e\" d=\"M 3513 2113 L 3513 0 L 2938 0 L 2938 2094 Q 2938 2591 2744 2837 Q 2550 3084 2163 3084 Q 1697 3084 1428 2787 Q 1159 2491 1159 1978 L 1159 0 L 581 0 L 581 3500 L 1159 3500 L 1159 2956 Q 1366 3272 1645 3428 Q 1925 3584 2291 3584 Q 2894 3584 3203 3211 Q 3513 2838 3513 2113 z \" transform=\"scale(0.015625)\"/>\n",
" <path id=\"DejaVuSans-72\" d=\"M 2631 2963 Q 2534 3019 2420 3045 Q 2306 3072 2169 3072 Q 1681 3072 1420 2755 Q 1159 2438 1159 1844 L 1159 0 L 581 0 L 581 3500 L 1159 3500 L 1159 2956 Q 1341 3275 1631 3429 Q 1922 3584 2338 3584 Q 2397 3584 2469 3576 Q 2541 3569 2628 3553 L 2631 2963 z \" transform=\"scale(0.015625)\"/>\n",
" </defs>\n",
" <use xlink:href=\"#DejaVuSans-74\"/>\n",
" <use xlink:href=\"#DejaVuSans-68\" x=\"39.208984\"/>\n",
" <use xlink:href=\"#DejaVuSans-65\" x=\"102.587891\"/>\n",
" <use xlink:href=\"#DejaVuSans-74\" x=\"164.111328\"/>\n",
" <use xlink:href=\"#DejaVuSans-61\" x=\"203.320312\"/>\n",
" <use xlink:href=\"#DejaVuSans-5f\" x=\"264.599609\"/>\n",
" <use xlink:href=\"#DejaVuSans-66\" x=\"314.599609\"/>\n",
" <use xlink:href=\"#DejaVuSans-6e\" x=\"349.804688\"/>\n",
" <use xlink:href=\"#DejaVuSans-72\" x=\"413.183594\"/>\n",
" </g>\n",
" <!-- $\\mu=3.00$; $\\sigma=0.00$ -->\n",
" <g transform=\"translate(147.225625 26.48925)scale(0.12 -0.12)\">\n",
" <defs>\n",
" <path id=\"DejaVuSans-Oblique-3bc\" d=\"M -84 -1331 L 856 3500 L 1434 3500 L 1009 1322 Q 997 1256 987 1175 Q 978 1094 978 1013 Q 978 722 1161 565 Q 1344 409 1684 409 Q 2147 409 2431 671 Q 2716 934 2816 1459 L 3213 3500 L 3788 3500 L 3266 809 Q 3253 750 3248 706 Q 3244 663 3244 628 Q 3244 531 3283 486 Q 3322 441 3406 441 Q 3438 441 3492 456 Q 3547 472 3647 513 L 3559 50 Q 3422 -19 3297 -55 Q 3172 -91 3053 -91 Q 2847 -91 2730 40 Q 2613 172 2613 403 Q 2438 153 2195 31 Q 1953 -91 1625 -91 Q 1334 -91 1117 43 Q 900 178 831 397 L 494 -1331 L -84 -1331 z \" transform=\"scale(0.015625)\"/>\n",
" <path id=\"DejaVuSans-3d\" d=\"M 678 2906 L 4684 2906 L 4684 2381 L 678 2381 L 678 2906 z M 678 1631 L 4684 1631 L 4684 1100 L 678 1100 L 678 1631 z \" transform=\"scale(0.015625)\"/>\n",
" <path id=\"DejaVuSans-33\" d=\"M 2597 2516 Q 3050 2419 3304 2112 Q 3559 1806 3559 1356 Q 3559 666 3084 287 Q 2609 -91 1734 -91 Q 1441 -91 1130 -33 Q 819 25 488 141 L 488 750 Q 750 597 1062 519 Q 1375 441 1716 441 Q 2309 441 2620 675 Q 2931 909 2931 1356 Q 2931 1769 2642 2001 Q 2353 2234 1838 2234 L 1294 2234 L 1294 2753 L 1863 2753 Q 2328 2753 2575 2939 Q 2822 3125 2822 3475 Q 2822 3834 2567 4026 Q 2313 4219 1838 4219 Q 1578 4219 1281 4162 Q 984 4106 628 3988 L 628 4550 Q 988 4650 1302 4700 Q 1616 4750 1894 4750 Q 2613 4750 3031 4423 Q 3450 4097 3450 3541 Q 3450 3153 3228 2886 Q 3006 2619 2597 2516 z \" transform=\"scale(0.015625)\"/>\n",
" <path id=\"DejaVuSans-3b\" d=\"M 750 3309 L 1409 3309 L 1409 2516 L 750 2516 L 750 3309 z M 750 794 L 1409 794 L 1409 256 L 897 -744 L 494 -744 L 750 256 L 750 794 z \" transform=\"scale(0.015625)\"/>\n",
" <path id=\"DejaVuSans-20\" transform=\"scale(0.015625)\"/>\n",
" <path id=\"DejaVuSans-Oblique-3c3\" d=\"M 2219 3044 Q 1744 3044 1422 2700 Q 1081 2341 969 1747 Q 844 1119 1044 756 Q 1241 397 1706 397 Q 2166 397 2503 759 Q 2844 1122 2966 1747 Q 3075 2319 2881 2700 Q 2700 3044 2219 3044 z M 2309 3503 L 4219 3500 L 4106 2925 L 3463 2925 Q 3706 2438 3575 1747 Q 3406 888 2884 400 Q 2359 -91 1609 -91 Q 856 -91 525 400
Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment