254 lines
136 KiB
Plaintext
254 lines
136 KiB
Plaintext
{
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"cells": [
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{
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"cell_type": "code",
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"execution_count": 10,
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"metadata": {},
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"outputs": [],
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"source": [
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"import matplotlib.pyplot as plt\n",
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"import random\n",
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"\n",
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"plt.rcParams[\"font.family\"] = \"Times New Roman\"\n",
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"plt.rcParams[\"font.size\"] = 16\n",
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"\n",
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"g_label_fontsize = 16\n",
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"\n",
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"colors = [\n",
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" \"#233142\",\n",
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" \"#F95959\",\n",
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"]\n",
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"\n",
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"edgecolors = [\n",
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" \"#FFFFFF\",\n",
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" \"#FFFFFF\",\n",
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"]\n",
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"\n",
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"hatches = [\"\", \"\"]"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 11,
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"metadata": {},
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"outputs": [
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{
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"data": {
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"image/png": 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Un+rewyIiDjrooJTY5s2b4+233846Z3UxWJHjZs+enTZelR/IDh06pMQSiUTMmzcv65x7UghrAKhtemeydPfjHDhwYB1UAlDzCnkP2L59e5x99tlRWloaLVq0iAcffDBnv3UBUNsKqf9PmDAhli1blhIfPnx4VvdaBihkhdT/v//976f9/f6jjz6KE088MZYsWbLH49966634z//8z/LHRxxxRNx7773VXicA1aMmBivS7WERn+0Rdc1gRQ5bsWJFxgnSqvxAtm/fPm18wYIFWefMpBDWAFDb9M5Uy5cvT3rctGnTGDx4cB1VA1BzCn0P+MEPfhDvvPNORET88pe/TPstBID6qND6/+233542/p3vfKdGzwuQbwqt//fo0SN+8IMfpH3uvffei/79+8eMGTPSPr9ixYoYMWJElJaWRkTEcccdF9OnT4+mTZvWWL0AZK+srCz+8pe/pH0uH/ewijBYkcOWLl2a8bmq/EBmuo/l4sWLs86ZSSGsAaC26Z3J1q9fH2vWrEmKnXXWWf6wBgpSIe8Bzz//fNx5550REXHmmWfGOeecU2vnBsh1hdT/Z86cmfYbya1bt46TTz65/PHGjRtj8uTJcf7558fhhx8eHTt2jOLi4ujcuXMcc8wxcf3118f8+fNrrE6AXFBI/f/vbrjhhoxfhtmwYUMMGTIkJkyYkBRfv359DBkyJD766KOI+Ozvheeeey5at25d4/UCkJ2VK1fGjh070j6Xr3vY3hisyGElJSVp482aNYvmzZtnnbe4uDhtfPXq1VnnzKQQ1gBQ2/TOZDNnzkx6XFRUFFdeeWUdVQNQswp1D9i0aVOMGTMmEolEdOnSJX71q1/VynkB8kUh9f+JEyemjZ966qnRuHHjWLBgQfz7v/97fPGLX4xRo0bFhAkT4p133ok1a9bEjh07YtWqVTFnzpy45ZZbonfv3jFq1KiUQWuAQlFI/f/vGjVqFI899lj07ds37fM7d+6M888/P/7f//t/UVZWFqtXr45BgwbFwoULo7i4OMaPHx8PPfSQL9QA5LhMe1hERMeOHbPOW9fvYe2JwYoc9s+XPf+7qv5CkekHsib+SC2ENQDUNr0z2bRp05Ien3XWWdG7d++6KQaghhXqHnDRRRfFihUrokGDBvHggw/GF77whVo5L0C+KJT+X1ZWFk888UTa54477ri44oorok+fPnHvvffGtm3bolmzZtGlS5do0aJFxpyTJ0+OXr16xZw5c2qkZoC6VCj9/5+1bNkynnvuufjyl7+c8TW33XZbDB8+PE444YSYP39+HHXUUfHmm2/GZZddVis1AlA1mfawiKrtY3W9h+2JwYoctnnz5rTxmvqlKtP5qqIQ1gBQ2/TOf9i6dWs8/vjj5Y8bNWoU//mf/1mHFQHUrELcA+6///6YMmVKRERcd911ccIJJ9T4OQHyTaH0/7lz58bGjRvTPve9730vxo8fH23atIkbb7wx3n777di6dWt8+OGHsXnz5vjrX/8aV1xxReyzzz4px27YsCEGDx4cM2bMqJG6AepKofT/dNq1axcvvPBC9O/fP+Nrnn766ViyZEkMHDgwXn311ejVq1et1QdA1expT9l3332zzpsLe1gmBity2Keffpo2XpUfxoiIhg0bpo1v3769SnnTKYQ1ANQ2vfMf7r///qRfmMaOHRtf+tKX6rAigJpVaHtASUlJXH755RERcfTRR8dNN91Uo+cDyFeF0v9feOGFPT5/4403xtKlS2PcuHHRp0+fpOd69uwZd911V8ycOTPatm2bcuzWrVvjjDPOiFWrVlVrzQB1qVD6fyatWrWKF154Ib75zW/u8XUzZsyISy+9NHbu3FlLlQFQVZn2sCZNmkRRUVHWeXNlD0vHYEUOy/QDWdVp1d27d6eN79ixo0p50ymENQDUNr3zMzt27Ijbbrut/HGPHj3ixhtvrMOKAGpeIe0BZWVlMXr06Ni8eXM0a9YsJk+eHI0aNaqx8wHks0Lp//PmzUsb79evXyxcuDDGjRsXzZo122OO/v37x9NPPx2NGzdOeW7dunUxevTo6igVICcUSv/fk3333TceeeSROP/88/f4unvuuScGDRoUa9euraXKAKiK+rCH/TODFTkskUikjVd1WrWsrCxtPNOlVaqiENYAUNv0zs/8+te/jpKSkoj4bEr13nvvzdlaAapLIe0B//Vf/xV//vOfIyLirrvuiu7du9fYuQDyXaH0/0WLFqWNDx8+PLp06VLhPMccc0z88Ic/TPvc888/H88//3xW9QHkmkLp/3szY8aMeOqpp6JRo0Z7vDXIrFmz4thjj4333nuvFqsDIBv1ZQ/7PIMVOax58+Y1kre0tDRtvKoTROkUwhoAapve+dk9lD9/dYqbbropvvKVr9RhRQC1o1D2gDfeeKP8th+nnXbaXr+dBlDfFUr/X7x4cdp4t27dKp3r2muvjTZt2qR97qc//Wml8wHkokLp/3ty++23x5AhQ2LTpk3x6KOPxqxZs+I//uM/Mr7+gw8+iGOPPTZeffXVWqwSgMqqD3vYPzNYkcNatGiRNp7pB6qiMt2DpqoTROkUwhoAapveGXH11VfHxo0bIyLi61//evzgBz+o44oAakch7AGffvppnH322bFz587Yf//94ze/+U21nwOg0BRC/9+5c2ds2bIl7XP7779/pfM1a9YsLr300rTPTZ8+vfzvBYB8Vgj9P5Pdu3fHxRdfHGPHjo2ysrKYMGFCDB8+PBo0aBA/+clP4re//W3a2z5FRGzcuDFOPvnkmD17dq3VC0DlFPIelonBihxWUz+QW7duTRtv1apVlfKmUwhrAKht9b13PvHEE/HAAw9ERMSBBx4YDz74YBQVFdVxVQC1oxD2gGuuuSbee++9KCoqit/+9rcZv20MwD8UQv/PNFQREdGxY8escma64lEikYiZM2dmlRMglxRC/09n9+7dceaZZ8avfvWriIi48sor4+yzz056zTnnnBN/+tOfMta0efPmOPnkk+Mvf/lLTZcLQBYKdQ/bE4MVOax169Zp41X9gdy8eXPaeNeuXauUN51CWANAbavPvXP58uVx3nnnRUREmzZt4plnnom2bdvWcVUAtSff94Cnnnoq7rnnnoj47BLugwcPrtb8AIUq3/t/xGdXLMok29/pu3btGn369En73GuvvZZVToBcUgj9/58lEokYM2ZMPPLIIxERcdBBB8VPfvKTtK8dOHBgvPzyy9G5c+e0z2/ZsiWGDRsWmzZtqrF6AchOIe5he2OwIof16NEjbTzTpE5Fffzxx2njXbp0qVLedAphDQC1rb72zp07d8aZZ54ZGzZsiMaNG8fUqVMz/m8BUKjyfQ/4/DeLb7/99igqKsrq37nnnps2f6bXA+S7fO//ERH77LNPxudatmyZdd6TTz45bXz16tVZ5wTIFYXQ///ZrbfeGpMnTy5//OMf/ziKi4szvv6www6Ll19+Obp165b2+Q8//DDGjh1b3WUCUEWZ9rDdu3dXabgilz/HMFiRw3r16pU2vm7duti1a1fWedetW5c2nukXl6oohDUA1Lb62jsvv/zymDVrVjRo0CDuv//+GDBgQF2XBFDr8n0PWLt2bbXmA6gv8r3/R0Q0a9Ys43ONGzfOOm/v3r3Txjds2JB1ToBcUQj9//Nee+21uOGGG8of77///jFy5Mi9HnfQQQfFiy++mPFDs/vuuy/efPPNaqsTgKo74IADMg5Qr1y5Muu8ufw5hsGKHNamTZu096AsKyuLVatWZZ13zZo1aeNHHnlk1jkzKYQ1ANS2+tg7/+d//qf80vHjx4+Pb3/723VcEUDdqI97AACF0f+bN2+ecbhi+/btWefN9KHjjh07ss4JkCsKof9/3uWXXx5lZWXlj0877bRo1KhRhY7t1q1b/OlPf4p27dqlff7222+vlhoBqD49e/ZMG1+xYkXWOXP5PSyDFTnu8MMPTxtfvnx5VvlKS0tj/fr1KfH99tsvvvSlL2WVc28KYQ0Ata0+9c4nn3wyrrzyyoiIuOmmm+KSSy6p03oA6lp92gMA+IdC6P8HHXRQ2vjGjRuzztmhQ4e08bZt22adEyCXFEL/j4h46aWX4vXXX0+KDR48uFI5evToEY8++mjaYYypU6fGtm3bqlQjANWruvewiIiPPvooJdagQYPo169f1jmri8GKHDd06NC08aVLl2aVr6SkJG28f//+WeWriEJYA0Btqy+989VXX40zzzwzdu/eHVdeeWXS5SIB6qv6sgcAkKwQ+v9hhx2WNp7tGiIiWrRokTae6RvNAPmmEPp/RMTkyZNTYpn2hT0ZMGBAjBs3LiW+ffv2eOWVV7IpDYAaUt172LZt29LeZrZXr14Z/y6oTQYrctzw4cPTxt96662s8i1evDhtfNiwYVnlq4hCWANAbasPvXP+/PlxyimnxKeffhpjxoyJO++8s85qAcgl+bwHJBKJavk3ceLESuUHKAT53P//7vjjj08bnz9/ftY5M91eJJsP6wByUSH0/4iIl19+OSWW7jYnFTF27Njo2rVrSnzJkiVZ5QOgZgwZMiSaNGmSEs92D1uyZEna93ly5TNggxU57sADD0x7L8k333wzq3zvvPNOSqxRo0Zx2mmnZZWvIgphDQC1rdB75/vvvx8nn3xybNq0Kb75zW/GfffdF0VFRXVSC0CuKfQ9AID0CqH/DxkyJG38tddeyzrn1q1b08ZPOOGErHMC5JJC6P8R6S/7nu7Dtopo3LhxfOc730mJV+XWUgBUv6ZNm6a97VN17mEREd/+9rezylfdDFbkgdGjR6fE5s6dm9U3s9JNCA0ZMqTG70tZCGsAqG2F2js//PDDOPHEE2PlypVx0kknxUMPPRQNGzas9ToAclmh7gEA7Fm+9/9/+Zd/ib59+6bEp0+fnnXOjz/+OCXWuXPnOOSQQ7LOCZBr8r3/R0TaWtP18IoaMGBASqxVq1ZZ5wOgZqTbw0pKSrIahku3hx166KHRp0+frGqrbgYr8sBFF10ULVu2TIp98skn8eqrr1Y616xZs1JiV111VbalVVghrAGgthVi7/zoo4/ixBNPjGXLlsUJJ5wQU6dOjeLi4irl/OlPf1qlN2oBclEh7gEA7F0h9P8LLrggJfbRRx9l/PbZ3ixatKhC5wDIZ4XQ/9Pd9mP16tVZ59t///1TYp06dco6HwA1Y+TIkXHQQQelxJ999tlK5/rzn/+cEsul97AMVuSBL3zhC3HRRRelxKdOnVqpPG+++WasWbMmKXbEEUfESSedVKX6KqIQ1gBQ2wqtd3744YcxcODA+OCDD6Jfv37x9NNPR9OmTauU85577onrrrvOt66BglNoewAAFVMI/f/cc8+Ndu3apcTvv//+rPK9/vrrSY8bNWoUF154YVa5AHJVIfT/fv36pcRmz56ddb7S0tKkxw0aNIjjjjsu63wA1IyGDRvG9773vZR4ZfewdevWxRtvvJEU69SpU4wZM6ZK9VUngxV54qqrropmzZolxSr7A/nYY4+lxG6++eYq1VUZhbAGgNpWKL2zpKQkvvrVr8bSpUvjqKOOimeffTZatGiRdb6ysrL4+c9/Hpdcckn06tUrvvzlL1djtQC5oVD2AAAqJ9/7f9OmTePGG29MiU+aNCm2bNlS6XyPPvpo0uOLL744OnfunHV9ALkq3/v/v/7rv6bEnnzyyazzvfvuu0mPjz/++Gjfvn3W+QDy2a5du1JiZWVldVBJeueee27KlYaeeeaZlCG5PZk2bVrKmn70ox9V+YrX1clgRZ7o1KlT3HDDDUmxJUuWxIwZMyp0fGlpadx7771JsdNPPz1OOeWUCtcwbdq06Nu3bxQXF0fXrl3j1ltvrdR/tLmwBoB8kwu9s6r9/7333osTTjghSkpKon///vHcc89V+J6YiUQidu3aFVu3bo0VK1bEnDlz4o477ojDDz88rr322igrK4tRo0ZVuBaAfFIIewAAlVcI/f/iiy+OI488Mim2YcOG+PnPf17hHBERr7zySsybN6/8cefOneOWW26pVA6AfJHv/T/dpeCfeuqpWLx4cYXP/3lTpkxJejx27Nis8gAUgp07d6bEduzYUW35X3755fjKV74STZo0iU6dOsW1115bqaGIJk2apPyuv3Xr1vjDH/5Q4Ry//OUvkx4fffTRaa/mVKcS5I0dO3Ykjj766ERElP/72te+VqFjb7nllqTjOnTokFixYkWFzz1lypSk4//+77LLLsubNQDkq3zu/2+//Xaiffv2aXNUx7+ioqLEsmXLKrwegHyTz3tAVUycODHtuQHqi0Lo/++++26iRYsWSTmKi4sT8+fPr9Dx27dvT/Tp0yfpd//HH3+8UjUA5Jt87/+PPvpoyvEDBgxI7Nq1q8I5EolEYvbs2YmioqLyHCeddFKljgcoNIceemhKfx06dGi15J41a1Zin332Sck/bNiwSuf65je/mZTjkEMOSezcuXOvxz344INJxzVr1izxzjvvZLOcGuWdqTyzdOnSRJs2bZJ+uCZNmrTHY2bMmJEoLi4uf32TJk0Ss2fPrtR50/0HGxGJBg0aJFavXp0XawDIZ/nY/2fPnp1o3bp1jQ1VRETiq1/9aqXWA5CP8nEPqCqDFQCF0f+nTp2aaNiwYVKeHj16JNauXbvH43bv3p0455xzko67/vrrK3VugHyV7/3/kksuScnx7//+74ndu3dX6PgPPvgg0blz5/JjDzzwwBr/+wMg133hC19I6a19+vSpltxDhw7N+P77nDlzKpVr06ZNiYMOOigpx7hx4/Z4zIIFC5L2vaKiosRjjz1WlSXVGO9M5aHZs2cnmjdvXv4DVlxcnPEH7Pe//33Sa1u0aJF45plnKn3OdJNKf//3yiuv5MUaAPJdPvX/P/7xj4mmTZvW6FBFRCTuu+++Sq8JIB/l0x5QHQxWAHymEPr/xIkTk751HBGJ3r17J9577720r1+3bl3KN92uvPLKSp8XIJ/lc//fuXNnYvTo0Sk5hg4dmvjggw8yHldWVpZ4+OGHE23bti0/plOnTol333230msBKCTPPPNMxsG3t99+u8r5u3fvnrH//+53v6t0vsWLFyc6duyYNCjxy1/+Mu1rX3jhhUSHDh3KX7vPPvskJk6cWMUV1ZyiRCKRCPLOnDlzYsSIEbFq1ary2IgRI2LkyJHRuXPnKCkpifvvvz9eeuml8ud79OgRU6ZMiT59+lT6fL169YoFCxakxBs0aBArV66MDh065PwaAApBPvT/qVOnxre//e20932rTk2aNIk1a9ZEy5Yta/Q8ALkiH/aA6jJp0qQ499xzU+L+fAXqo0Lo/9OmTYtzzjkntmzZUh5r3LhxnHXWWXHSSSdFp06dYsOGDfHyyy/HAw88EJs2bSp/zR133BGXXXZZpc8JkO/yuf8nEon4/ve/H7fddluUlZWVx4uLi2Po0KHx9a9/PQ444IAoLi6ODRs2xFtvvRVPPPFELFy4sPy1gwYNioceeqhG/+4AyFVbt26NFStWxJ/+9Kf44Q9/mPR79Oe1b98+br311hgwYEDsv//+0bRp00qf69RTT43/+7//S/vcnDlz4uijj650zsWLF8fw4cNj0aJF5bFBgwbFqFGj4sADD4xVq1bFlClT4vHHHy9/vnPnzvHggw/GoEGDKn2+WlO3cx1UxerVqxNnnXXWXr/N27Jly8S4ceMSpaWlWZ/r4YcfTpu7qvdXrs01ABSKXO//Y8aMqfErVURE4owzzsh6XQD5Ktf3gOriihUAyQqh/y9atCgxbNiwCv2uX1RUlBg+fLhvKQP1Xr73/3nz5iVOPvnkSr3fc+ihhyYmTZqU2LVrV9bnBchXv/3tb6v8vvlLL71UqXO+8soraa9aNGzYsCqtZfPmzYnLL7885daA//yvSZMmiSuuuCLxySefVOl8tcEVKwrAwoULY+LEifHiiy/G+++/H1u3bo127dpF375949RTT43Ro0dXy7d5p02bFuPGjYsFCxZEx44d46KLLorrrrsuGjRokDdrACgkhdD/AciOPQCgfiqE/j9v3rx49NFHY/r06bFs2bJYv359NGzYMPbbb7/o2bNnDBw4MEaOHBkHH3xwlc8FUCjyvf8vWbIknnnmmfjTn/4UJSUlsW7duti4cWM0a9Ys2rZtGwcccEAMGDAgTjzxxBgwYEAUFRVVeS0A+ejjjz+O5cuXVynHgQceGM2aNavUMS+//HJcd9118cYbb0Tr1q1j1KhRccstt0STJk2qVEtExLJly2LChAkxffr0WLRoUWzevDlat24dPXv2jKFDh8Z3vvOdaN++fZXPUxsMVgAAAAAAAAAAZOBrRgAAAAAAAAAAGRisAAAAAAAAAADIwGAFAAAAAAAAAEAGBisAAAAAAAAAADIwWAEAAAAAAAAAkIHBCgAAAAAAAACADAxWAAAAAAAAAABkYLACAAAAAAAAACADgxUAAAAAAAAAABkYrAAAAAAAAAAAyMBgBQAAAAAAAABABgYrAAAAAAAAAAAyMFgBAAAAAAAAAJCBwQoAAAAAAAAAgAwMVgAAAAAAAAAAZGCwAgAAAAAAAAAgA4MVAAAAAAAAAAAZGKwAAAAAAAAAAMjAYAUAAAAAAAAAQAYGKwAAAAAAAAAAMjBYAQAAAAAAAACQgcEKAAAAAAAAAIAMDFYAAAAAAAAAAGRgsAIAAAAAAAAAIAODFQAAAAAAAAAAGRisAAAAAAAAAADIwGAFAAAAAAAAAEAGBisAAAAAAAAAADIwWAEAAAAAAAAAkIHBCgAAAAAAAACADAxWAAAAAAAAAABkYLACAAAAAAAAACADgxUAAAAAAAAAABkYrAAAAAAAAAAAyMBgBQAAAAAAAABABgYrAAAAAAAAAAAyMFgBAAAAAAAAAJCBwQoAAAAAAAAAgAwMVgAAAAAAAAAAZGCwAgAAAAAAAAAgA4MVAAAAAAAAAAAZ/H/eTbBqq8D5AwAAAABJRU5ErkJggg==",
|
|
"text/plain": [
|
|
"<Figure size 2100x840 with 1 Axes>"
|
|
]
|
|
},
|
|
"metadata": {},
|
|
"output_type": "display_data"
|
|
}
|
|
],
|
|
"source": [
|
|
"fig, ax = plt.subplots(\n",
|
|
" figsize=(7, 14 / 5), ncols=1, nrows=1, constrained_layout=True, dpi=300\n",
|
|
")"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 12,
|
|
"metadata": {},
|
|
"outputs": [],
|
|
"source": [
|
|
"labels_name_a = [\n",
|
|
" \"ModelA\\n8DP\",\n",
|
|
" \"ModelA\\n8TP\",\n",
|
|
" \"ModelA\\n2DP$\\\\times$4TP\",\n",
|
|
" \"ModelA\\n2DP$\\\\times$8TP\",\n",
|
|
" \"ModelA\\n4DP$\\\\times$2TP\",\n",
|
|
" \"ModelB\\n8TP\",\n",
|
|
" \"ModelB\\n4DP$\\\\times$2TP\",\n",
|
|
"]"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 13,
|
|
"metadata": {},
|
|
"outputs": [],
|
|
"source": [
|
|
"# MFU\n",
|
|
"data_a = {\n",
|
|
" labels_name_a[0]: [43.0, 44.4], # modela 8DP\n",
|
|
" labels_name_a[1]: [42.2, 43.6], # modela 8TP\n",
|
|
" labels_name_a[2]: [43.1, 44.6], # modela 2DP 4TP\n",
|
|
" labels_name_a[3]: [41.0, 42.6], # modela 2DP 8TP\n",
|
|
" labels_name_a[4]: [44.7, 44.7], # modela 4DP 2TP\n",
|
|
" labels_name_a[5]: [48.1, 49.4], # modelb 8TP\n",
|
|
" labels_name_a[6]: [38.0, 38.0], # modelb 4DP 2TP\n",
|
|
"}"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 14,
|
|
"metadata": {},
|
|
"outputs": [],
|
|
"source": [
|
|
"legend_labels = [\"Lynx without Local Search\", \"Lynx\"]"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 15,
|
|
"metadata": {},
|
|
"outputs": [],
|
|
"source": [
|
|
"bar_width = 0.2\n",
|
|
"group_spaing = 0.15\n",
|
|
"\n",
|
|
"group_positions = {}\n",
|
|
"current_pos = 0\n",
|
|
"\n",
|
|
"x_label_cnt = len(data_a.keys())\n",
|
|
"x_label_group_cnt = 2\n",
|
|
"\n",
|
|
"for idx in range(x_label_cnt):\n",
|
|
" group_positions[idx] = []\n",
|
|
" for _ in range(x_label_group_cnt):\n",
|
|
" group_positions[idx].append(current_pos)\n",
|
|
" current_pos += bar_width\n",
|
|
" current_pos += group_spaing\n",
|
|
"\n",
|
|
"group_centers = {}\n",
|
|
"for idx, positions in group_positions.items():\n",
|
|
" group_centers[idx] = sum(positions) / len(positions)"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 16,
|
|
"metadata": {},
|
|
"outputs": [
|
|
{
|
|
"data": {
|
|
"text/plain": [
|
|
"Text(13.333333333333346, 0.5, 'MFU (%)')"
|
|
]
|
|
},
|
|
"execution_count": 16,
|
|
"metadata": {},
|
|
"output_type": "execute_result"
|
|
}
|
|
],
|
|
"source": [
|
|
"label_set = set()\n",
|
|
"for idx, (x_label, y_data) in enumerate(data_a.items()):\n",
|
|
" positions = group_positions[idx]\n",
|
|
"\n",
|
|
" for i, (pos, value, color, edgecolor, hatch, label) in enumerate(\n",
|
|
" zip(\n",
|
|
" positions,\n",
|
|
" y_data,\n",
|
|
" colors,\n",
|
|
" edgecolors,\n",
|
|
" hatches,\n",
|
|
" legend_labels,\n",
|
|
" )\n",
|
|
" ):\n",
|
|
" if label in label_set:\n",
|
|
" local_label = None\n",
|
|
" else:\n",
|
|
" local_label = label\n",
|
|
" label_set.add(local_label)\n",
|
|
"\n",
|
|
" ax.bar(\n",
|
|
" pos,\n",
|
|
" value,\n",
|
|
" width=bar_width,\n",
|
|
" color=color,\n",
|
|
" label=local_label,\n",
|
|
" hatch=hatch,\n",
|
|
" edgecolor=edgecolor,\n",
|
|
" )\n",
|
|
"\n",
|
|
"ax.set_xticks(list(group_centers.values()))\n",
|
|
"ax.set_xticklabels(list(data_a.keys()))\n",
|
|
"\n",
|
|
"ax.set_ylim(0, 100)\n",
|
|
"ax.set_yticks([0, 50, 100])\n",
|
|
"ax.set_yticklabels([\"0\", \"50\", \"100\"], rotation=90, ha=\"center\", va=\"center\")\n",
|
|
"\n",
|
|
"ax.tick_params(axis=\"x\", bottom=False, labelsize=g_label_fontsize - 4, pad=1)\n",
|
|
"ax.tick_params(axis=\"y\", left=True, labelsize=g_label_fontsize, pad=5)\n",
|
|
"ax.set_ylabel(\"MFU (%)\", fontsize=g_label_fontsize)"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 17,
|
|
"metadata": {},
|
|
"outputs": [
|
|
{
|
|
"data": {
|
|
"text/plain": [
|
|
"<matplotlib.legend.Legend at 0x7fdc09cfb4d0>"
|
|
]
|
|
},
|
|
"execution_count": 17,
|
|
"metadata": {},
|
|
"output_type": "execute_result"
|
|
}
|
|
],
|
|
"source": [
|
|
"fig.legend(\n",
|
|
" ncol=3,\n",
|
|
" loc=\"upper center\",\n",
|
|
" frameon=False,\n",
|
|
" shadow=False,\n",
|
|
" bbox_to_anchor=(0.5, 0.9),\n",
|
|
" fontsize=g_label_fontsize,\n",
|
|
")"
|
|
]
|
|
},
|
|
{
|
|
"cell_type": "code",
|
|
"execution_count": 18,
|
|
"metadata": {},
|
|
"outputs": [
|
|
{
|
|
"data": {
|
|
"image/png": 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",
|
|
"text/plain": [
|
|
"<Figure size 2100x840 with 1 Axes>"
|
|
]
|
|
},
|
|
"execution_count": 18,
|
|
"metadata": {},
|
|
"output_type": "execute_result"
|
|
}
|
|
],
|
|
"source": [
|
|
"fig.savefig(\"two_phase_algo.pdf\", bbox_inches=\"tight\", dpi=1000)\n",
|
|
"fig"
|
|
]
|
|
}
|
|
],
|
|
"metadata": {
|
|
"kernelspec": {
|
|
"display_name": ".venv",
|
|
"language": "python",
|
|
"name": "python3"
|
|
},
|
|
"language_info": {
|
|
"codemirror_mode": {
|
|
"name": "ipython",
|
|
"version": 3
|
|
},
|
|
"file_extension": ".py",
|
|
"mimetype": "text/x-python",
|
|
"name": "python",
|
|
"nbconvert_exporter": "python",
|
|
"pygments_lexer": "ipython3",
|
|
"version": "3.12.9"
|
|
}
|
|
},
|
|
"nbformat": 4,
|
|
"nbformat_minor": 2
|
|
}
|