Skip to content

Instantly share code, notes, and snippets.

@peterroelants
Last active October 27, 2024 17:09
Show Gist options
  • Select an option

  • Save peterroelants/4c209e9f238aaba85859232ba4849462 to your computer and use it in GitHub Desktop.

Select an option

Save peterroelants/4c209e9f238aaba85859232ba4849462 to your computer and use it in GitHub Desktop.
Flow Matching
Display the source blob
Display the rendered blob
Raw
{
"cells": [
{
"cell_type": "code",
"execution_count": 1,
"metadata": {},
"outputs": [
{
"data": {
"image/png": "iVBORw0KGgoAAAANSUhEUgAAA/MAAAGbCAYAAACIxMC9AAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjkuMiwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy8hTgPZAAAACXBIWXMAAA9hAAAPYQGoP6dpAAB5FElEQVR4nO3dd3hUZf7+8feUZNJ7hySE3osgXaQJIhYUuyK6rvp1QV3Zn6vu2t1dXHXVVbGtiq7K6uLaC4IIovRepQQCgfTe68z5/REyGumQ5GSS+3Vdc5E558yZeyAk85nnOZ/HYhiGgYiIiIiIiIh4DKvZAURERERERETk1KiYFxEREREREfEwKuZFREREREREPIyKeREREREREREPo2JeRERERERExMOomBcRERERERHxMCrmRURERERERDyMinkRERERERERD6NiXkRERERERMTDqJgXERGRRtGhQwduvPHGJn+e/fv3Y7FYeOutt9zbbrzxRgICApr8uetZLBYeeeSRZnu+X/vd737Heeed16jnfOWVV0hISKCqqqpRzysiIk1DxbyIiJjGYrGc1G3p0qVmR21gxYoVPPLIIxQWFp7U8TfeeGOD1xMQEEDHjh25/PLL+d///ofL5TrtLPPmzeO555477ccfy+jRo915rVYrQUFBdOvWjWnTprFo0aJGe56vvvrK1KL4eFpqtpSUFF5//XX+9Kc/Nep5b7zxRqqrq3n11Vcb9bwiItI0LIZhGGaHEBGRtundd99tcP/f//43ixYt4p133mmw/bzzziM6Oro5ox3X008/zT333ENKSgodOnQ44fE33ngj77//Pq+//joAFRUVHDhwgM8//5wtW7YwevRoPv30U4KCgk45y4UXXsi2bdvYv3//KT/2eEaPHs3evXuZPXs2AGVlZSQnJ/PRRx+xb98+rrzySt599128vLzcj6mqqsJqtTbYdiIzZ85kzpw5nMrbEcMwqKqqwsvLC5vNBtT9HX/44YeUlpae9HnOJFtlZSV2ux273d5oz3eyfv/73/P111+za9euRj/3vffeywcffEBKSgoWi6XRzy8iIo2n+X8DiYiIHHb99dc3uL9q1SoWLVp0xPbTYRgGlZWV+Pr6nvG5GoPdbj/idf3lL3/hiSee4P777+eWW27hgw8+MCnd0QUHBx+R+YknnuDOO+/kpZdeokOHDvz9739373M4HE2ap7a2FpfLhbe3Nz4+Pk36XCdi1vPX1NTw3nvv8X//939Ncv4rr7ySJ598kiVLljB27NgmeQ4REWkcmmYvIiIt2ty5cxk7dixRUVE4HA569uzJyy+/fMRxHTp04MILL+Sbb75h0KBB+Pr6uqcLHzhwgIsvvhh/f3+ioqK4++67+eabb446hX/16tWcf/75BAcH4+fnx7nnnsvy5cvd+x955BHuueceAJKSktxT0U93ZPy+++5jwoQJzJ8/n927d7u3f/rpp0yePJm4uDgcDgedOnXi8ccfx+l0uo8ZPXo0X375JQcOHHDnqJ8pUF1dzUMPPcTAgQMJDg7G39+fc845hyVLlpxWzno2m43nn3+enj178uKLL1JUVOTe9+tr5mtqanj00Ufp0qULPj4+hIeHM3LkSPc0/RtvvJE5c+YADS+5gJ+vi3/66ad57rnn6NSpEw6Hgx07dhz1mvl6+/btY+LEifj7+xMXF8djjz3WYGR96dKlR/13//U5j5etftuvp+Bv3LiRSZMmERQUREBAAOPGjWPVqlUNjnnrrbewWCwsX76cWbNmERkZib+/P5deeik5OTkn/Pv/8ccfyc3NZfz48UdkP97tZHsZDBw4kLCwMD799NOTOl5ERMyjkXkREWnRXn75ZXr16sXFF1+M3W7n888/53e/+x0ul4sZM2Y0OHbXrl1cc8013Hbbbdxyyy1069aNsrIyxo4dS0ZGBnfddRcxMTHMmzfvqEXtd999x6RJkxg4cCAPP/wwVqvV/WHCDz/8wODBg7nsssvYvXs3//nPf3j22WeJiIgAIDIy8rRf47Rp01i4cCGLFi2ia9euQF3RFxAQwKxZswgICOC7777joYceori4mKeeegqAP//5zxQVFXHo0CGeffZZAHcTuOLiYl5//XWuueYabrnlFkpKSnjjjTeYOHEia9asoX///qed12azcc011/Dggw/y448/Mnny5KMe98gjjzB79mx++9vfMnjwYIqLi1m3bh0bNmzgvPPO47bbbiM9Pf2ol1bUmzt3LpWVldx66604HA7CwsKO2WPA6XRy/vnnM3ToUJ588kkWLFjAww8/TG1tLY899tgpvcaTyfZL27dv55xzziEoKIg//vGPeHl58eqrrzJ69Gi+//57hgwZ0uD4O+64g9DQUB5++GH279/Pc889x8yZM084O2PFihVYLBYGDBjg3hYZGck777zDtGnTOO+887jhhhsAyM3N5e6773b/nzhZZ511VoMPsEREpIUyREREWogZM2YYv/7VVF5efsRxEydONDp27NhgW2JiogEYCxYsaLD9H//4hwEYn3zyiXtbRUWF0b17dwMwlixZYhiGYbhcLqNLly7GxIkTDZfL1eD5k5KSjPPOO8+97amnnjIAIyUl5aRe1/Tp0w1/f/9j7t+4caMBGHffffdxX/dtt91m+Pn5GZWVle5tkydPNhITE484tra21qiqqmqwraCgwIiOjjZ+85vfnDDzueeea/Tq1euY+z/++GMDMP75z3+6tyUmJhrTp0933+/Xr58xefLk4z7P0f7NDcMwUlJSDMAICgoysrOzj7pv7ty57m3Tp083AOOOO+5wb3O5XMbkyZMNb29vIycnxzAMw1iyZEmDf/fjnfNY2QzDMADj4Ycfdt+fMmWK4e3tbezdu9e9LT093QgMDDRGjRrl3jZ37lwDMMaPH9/g++zuu+82bDabUVhYeNTnq3f99dcb4eHhx8w0Y8aMI17TU089ddxz/tqtt95q+Pr6ntJjRESk+WmavYiItGi/vOa9qKiI3Nxczj33XPbt29dgijfUTXufOHFig20LFiygXbt2XHzxxe5tPj4+3HLLLQ2O27RpE3v27OHaa68lLy+P3NxccnNzKSsrY9y4cSxbtuyMus4fT/1oeklJiXvbL193SUkJubm5nHPOOZSXl7Nz584TntNms+Ht7Q2Ay+UiPz+f2tpaBg0axIYNG5ok86+FhISwfft29uzZc9rPM3Xq1FOa9TBz5kz31xaLhZkzZ1JdXc2333572hlOxOl0snDhQqZMmULHjh3d22NjY7n22mv58ccfKS4ubvCYW2+9tcG0/XPOOQen08mBAweO+1x5eXmEhoaedtZXX32VLl26YLPZjnqZAkBoaCgVFRWUl5ef9vOIiEjT0zR7ERFp0ZYvX87DDz/MypUrjyguioqKCA4Odt9PSko64vEHDhygU6dOR3Tm7ty5c4P79QXn9OnTj5mlqKjojAqpY6nvwB4YGOjetn37dh544AG+++67IwrBX3+IcSxvv/02//jHP9i5cyc1NTXu7Uf7e2qMzL/22GOPcckll9C1a1d69+7N+eefz7Rp0+jbt+9JP8+pZLVarQ2KacB92UJjd/v/pZycHMrLy+nWrdsR+3r06IHL5eLgwYP06tXLvT0hIaHBcfXfVwUFBSd8PuMMFiIaO3YskydPPm6Tyfrzq5u9iEjLpmJeRERarL179zJu3Di6d+/OM888Q3x8PN7e3nz11Vc8++yzR4yUn0nn+vpzPfXUU8e8nrx+NLqxbdu2Dfj5A4bCwkLOPfdcgoKCeOyxx+jUqRM+Pj5s2LCBe++996RmCLz77rvceOONTJkyhXvuuYeoqChsNhuzZ89m7969jZ75aEaNGsXevXv59NNPWbhwIa+//jrPPvssr7zyCr/97W9P6nkaezWCYxWov2ws2Bzql9T7tRMV6uHh4SdV8B9Lly5dTnhMQUEBfn5+LWYlCBEROToV8yIi0mJ9/vnnVFVV8dlnnzUYyTyVjuyJiYns2LEDwzAaFHLJyckNjuvUqRMAQUFBDTqFH01jj1i+8847WCwWzjvvPKCu43peXh4fffQRo0aNch+XkpJy0lk+/PBDOnbsyEcffdTgmIcffviM8zqdTubNm4efnx8jR4487rFhYWHcdNNN3HTTTZSWljJq1CgeeeQRdzHfmH+XLpeLffv2uUfjAfcKAfVd/utHwAsLCxs89mjT2082W2RkJH5+fkdd933nzp1YrVbi4+NP6lwn0r17d957770jZqU0ppSUFHr06NEk5xYRkcaja+ZFRKTFqh+9/OVoZVFREXPnzj3pc0ycOJG0tDQ+++wz97bKykr+9a9/NThu4MCBdOrUiaeffto9hfyXfrlsmL+/P3BkQXg6nnjiCRYuXMhVV13lHjU92uuurq7mpZdeOuLx/v7+R512f7RzrF69mpUrV55RXqfTyZ133slPP/3EnXfeSVBQ0DGPzcvLa3A/ICCAzp07U1VV1SA/NM7fJcCLL77o/towDF588UW8vLwYN24cUPfhjs1mY9myZQ0ed6y/25PJZrPZmDBhAp9++mmD6fxZWVnMmzePkSNHHvfv6VQMGzYMwzBYv379CY/18vICTn3WwYYNGxg+fPhp5RMRkeajkXkREWmxJkyYgLe3NxdddBG33XYbpaWl/Otf/yIqKoqMjIyTOsdtt93Giy++yDXXXMNdd91FbGws7733Hj4+PsDPo69Wq5XXX3+dSZMm0atXL2666SbatWtHWloaS5YsISgoiM8//xyoK/yhbmm4q6++Gi8vLy666CJ38Xc0tbW1vPvuu0DdhwkHDhzgs88+Y8uWLYwZM4bXXnvNfezw4cMJDQ1l+vTp3HnnnVgsFt55552jTsEeOHAgH3zwAbNmzeLss88mICCAiy66iAsvvJCPPvqISy+9lMmTJ5OSksIrr7xCz549j/phxdEUFRW5M5eXl5OcnMxHH33E3r17ufrqq3n88ceP+/iePXsyevRo99rl69at48MPP2zQpK7+7/LOO+9k4sSJ2Gw2rr766pPK92s+Pj4sWLCA6dOnM2TIEL7++mu+/PJL/vSnP7mb6AUHB3PFFVfwwgsvYLFY6NSpE1988QXZ2dlHnO9Usv3lL39h0aJFjBw5kt/97nfY7XZeffVVqqqqePLJJ0/r9RzNyJEjCQ8P59tvv2Xs2LHHPTY8PBy73c78+fPp3LkzU6dOPeH5169fT35+PpdcckljRRYRkaZiVht9ERGRXzvaUmCfffaZ0bdvX8PHx8fo0KGD8fe//9148803j1gaLjEx8ZjLoO3bt8+YPHmy4evra0RGRhp/+MMfjP/9738GYKxatarBsRs3bjQuu+wyIzw83HA4HEZiYqJx5ZVXGosXL25w3OOPP260a9fOsFqtJ1ymrn7ZtPqbn5+f0aFDB2Pq1KnGhx9+aDidziMes3z5cmPo0KGGr6+vERcXZ/zxj380vvnmmyOWVSstLTWuvfZaIyQkxADcy9S5XC7jb3/7m5GYmGg4HA5jwIABxhdffGFMnz79qEvZ/dq5557bIHNAQIDRpUsX4/rrrzcWLlx41Mf8emm6v/zlL8bgwYONkJAQw9fX1+jevbvx17/+1aiurnYfU1tba9xxxx1GZGSkYbFY3P/+x1tW7VhL0/n7+xt79+41JkyYYPj5+RnR0dHGww8/fMTfb05OjjF16lTDz8/PCA0NNW677TZj27ZtR5zzWNkM48il6QzDMDZs2GBMnDjRCAgIMPz8/IwxY8YYK1asaHBM/dJ0a9eubbD9WEvmHc2dd95pdO7c+Yjt/GppOsOoW/LOx8fH6NSpk2EYhjFv3jyjU6dOho+PjxEVFWV06tTJKCsrcx9/7733GgkJCQ2WzRMRkZbJYhhn0BJVRETEQz333HPcfffdHDp0iHbt2pkdR+Sk7du3j+7du/P111+7Lx9oDFVVVXTo0IH77ruPu+66q9HOKyIiTUPFvIiItHoVFRUNOnNXVlYyYMAAnE6nu0GaiCe5/fbbSU5OZtGiRY12zldeeYW//e1v7NmzB4fD0WjnFRGRpqFiXkREWr1JkyaRkJBA//793deBb9++nffee49rr73W7HgiIiIip0wN8EREpNWbOHEir7/+Ou+99x5Op5OePXvy/vvvc9VVV5kdTUREROS0aGReRERERERExMNonXkRERERERERD6NiXkRERERERMTD6Jp5wOVykZ6eTmBgIBaLxew4IiIiIiIi0kYZhkFJSQlxcXFYrccef1cxD6SnpxMfH292DBEREREREREADh48SPv27Y+5X8U8EBgYCNT9ZQUFBZmcRkRERERERNqq4uJi4uPj3XXqsaiYB/fU+qCgIBXzIiIiIiIiYroTXQKuBngiIiIiIiIiHkbFvIiIiIiIiIiHUTEvIiIiIiIi4mFUzIuIiIiIiIh4GBXzIiIiIiIiIh5GxbyIiIiIiIiIh1ExLyIiIiIiIuJhVMyLiIiIiIiIeBgV8yIiIiIiIiIeRsW8iIiIiIiIiIdRMS8iIiIiIiLiYUwt5h955BEsFkuDW/fu3d37KysrmTFjBuHh4QQEBDB16lSysrIanCM1NZXJkyfj5+dHVFQU99xzD7W1tc39UkRERERERESajd3sAL169eLbb79137fbf45099138+WXXzJ//nyCg4OZOXMml112GcuXLwfA6XQyefJkYmJiWLFiBRkZGdxwww14eXnxt7/9rdlfi4iIiIiInJ5Lr7iK7LyCY+6PCg/l4/kfNGMikZbN9GLebrcTExNzxPaioiLeeOMN5s2bx9ixYwGYO3cuPXr0YNWqVQwdOpSFCxeyY8cOvv32W6Kjo+nfvz+PP/449957L4888gje3t7N/XJEREREROQ0ZOcVcPn9Lx5z/4ezZzZjGpGWz/Rr5vfs2UNcXBwdO3bkuuuuIzU1FYD169dTU1PD+PHj3cd2796dhIQEVq5cCcDKlSvp06cP0dHR7mMmTpxIcXEx27dvP+ZzVlVVUVxc3OAmIiIiIiIi4ilMLeaHDBnCW2+9xYIFC3j55ZdJSUnhnHPOoaSkhMzMTLy9vQkJCWnwmOjoaDIzMwHIzMxsUMjX76/fdyyzZ88mODjYfYuPj2/cFyYiIiIiIiLShEydZj9p0iT313379mXIkCEkJiby3//+F19f3yZ73vvvv59Zs2a57xcXF6ugFxERERFpwXbt3MmIsROOe4yuq5e2xPRr5n8pJCSErl27kpyczHnnnUd1dTWFhYUNRuezsrLc19jHxMSwZs2aBueo73Z/tOvw6zkcDhwOR+O/ABERERERaRK1LuO419SDrquXtsX0a+Z/qbS0lL179xIbG8vAgQPx8vJi8eLF7v27du0iNTWVYcOGATBs2DC2bt1Kdna2+5hFixYRFBREz549mz2/iIiIiIiISHMwdWT+//2//8dFF11EYmIi6enpPPzww9hsNq655hqCg4O5+eabmTVrFmFhYQQFBXHHHXcwbNgwhg4dCsCECRPo2bMn06ZN48knnyQzM5MHHniAGTNmaORdREREREREWi1Ti/lDhw5xzTXXkJeXR2RkJCNHjmTVqlVERkYC8Oyzz2K1Wpk6dSpVVVVMnDiRl156yf14m83GF198we23386wYcPw9/dn+vTpPPbYY2a9JBEREREREZEmZ2ox//777x93v4+PD3PmzGHOnDnHPCYxMZGvvvqqsaOJiIiIiIiItFgt6pp5ERERERERETkxFfMiIiIiIiIiHkbFvIiIiIiIiIiHUTEvIiIiIiIi4mFUzIuIiIiIiIh4GBXzIiIiIiIiIh5GxbyIiIiIiIiIh1ExLyIiIiIiIuJhVMyLiIiIiIiIeBgV8yIiIiIiIiIeRsW8iIiIiIiIiIdRMS8iIiIiIiLiYexmBxAREREREWkMu3buZMTYCcfcHxUeysfzP2jGRCJNR8W8iIiIiIi0CrUug8vvf/GY+z+cPbMZ04g0LU2zFxEREREREfEwKuZFREREREREPIym2YuIiIiISJtwomvqQdfVi+dQMS8iIiIiIm3Cia6pB11XL55D0+xFREREREREPIyKeREREREREREPo2JeRERERERExMOomBcRERERERHxMCrmRURERERERDyMinkRERERERERD6NiXkRERERERMTDqJgXERERERER8TAq5kVEREREREQ8jIp5EREREREREQ+jYl5ERERERETEw6iYFxEREREREfEwKuZFREREREREPIyKeREREREREREPo2JeRERERERExMOomBcRERERERHxMCrmRURERERERDyMinkRERERERERD6NiXkRERERERMTDqJgXERERERER8TAq5kVEREREREQ8jIp5EREREREREQ+jYl5ERERERETEw6iYFxEREREREfEwKuZFREREREREPIyKeREREREREREPo2JeRERERERExMOomBcRERERERHxMHazA4iIiIiISOt26RVXkZ1XcNxjdu3e00xpRFoHFfMiIiIiItKksvMKuPz+F497zKPTxjVTGpHWQcW8iIiIiIjIYbt27mTE2AnHPSYqPJSP53/QTIlEjk7FvIiIiIiIyGG1LuOEswg+nD2zmdKIHFuLaYD3xBNPYLFY+P3vf+/eVllZyYwZMwgPDycgIICpU6eSlZXV4HGpqalMnjwZPz8/oqKiuOeee6itrW3m9CIiIiIiIiLNp0UU82vXruXVV1+lb9++DbbffffdfP7558yfP5/vv/+e9PR0LrvsMvd+p9PJ5MmTqa6uZsWKFbz99tu89dZbPPTQQ839EkRERERERESajenFfGlpKddddx3/+te/CA0NdW8vKirijTfe4JlnnmHs2LEMHDiQuXPnsmLFClatWgXAwoUL2bFjB++++y79+/dn0qRJPP7448yZM4fq6mqzXpKIiIiIiIhIkzK9mJ8xYwaTJ09m/PjxDbavX7+empqaBtu7d+9OQkICK1euBGDlypX06dOH6Oho9zETJ06kuLiY7du3H/M5q6qqKC4ubnATERERERER8RSmNsB7//332bBhA2vXrj1iX2ZmJt7e3oSEhDTYHh0dTWZmpvuYXxby9fvr9x3L7NmzefTRR88wvYiIiIiIiIg5TBuZP3jwIHfddRfvvfcePj4+zfrc999/P0VFRe7bwYMHm/X5RURERERERM6EacX8+vXryc7O5qyzzsJut2O32/n+++95/vnnsdvtREdHU11dTWFhYYPHZWVlERMTA0BMTMwR3e3r79cfczQOh4OgoKAGNxERERERERFPYVoxP27cOLZu3cqmTZvct0GDBnHddde5v/by8mLx4sXux+zatYvU1FSGDRsGwLBhw9i6dSvZ2dnuYxYtWkRQUBA9e/Zs9tckIiIiIiIi0hxMu2Y+MDCQ3r17N9jm7+9PeHi4e/vNN9/MrFmzCAsLIygoiDvuuINhw4YxdOhQACZMmEDPnj2ZNm0aTz75JJmZmTzwwAPMmDEDh8PR7K9JREREREREpDmY2gDvRJ599lmsVitTp06lqqqKiRMn8tJLL7n322w2vvjiC26//XaGDRuGv78/06dP57HHHjMxtYiIiIiIiEjTalHF/NKlSxvc9/HxYc6cOcyZM+eYj0lMTOSrr75q4mQiIiIiIiIiLYfp68yLiIiIiIiIyKlRMS8iIiIiIiLiYVTMi4iIiIiIiHgYFfMiIiIiIiIiHkbFvIiIiIiIiIiHaVHd7EVERERERE5FcUUNhworKK2qxR7Xg6paJw67zexYIk1OxbyIiIiIiHiUlNwy9mSXkFZQQXFlrXt7wIS7ePX7fUQEOogL9qFffAihft4mJhVpOirmRURERETEI1TXuli6O5ufMkrc2ywWiA70IcjHzk97U7AFRpJTUkVOSRXb04s5t2skveKCsFgsJiYXaXwq5kVEREREpMWzhcXznzWpFFbUYAH6tA+mY4Q/scG+eNvrWoGtefJ6/vCvb0gvqmDroSIOFVaweGc2+/PKGNcj2twXINLIVMyLiIiIiEiLZRgGGw8WEjD5Xgoraghw2JnYK5r2oX5HPT7Ax05Xn0C6RAWwIbWQFXtz2ZtTRmbxAewxXZs5vUjTUTEvIiIiIiIt1tr9Bazcl4fFZqdTpD/je0Tj43XiBncWi4WBiaHEh/myYFsmBeU1+I+fSWZRJTHBPs2QXKRpaWk6ERERERFpkfZklbByXx4AFWv/x+Q+sSdVyP9SVKAP1wxOIDHcD4vdm882p1NcUdMUcUWalYp5ERERERFpcTKLK/lmRxYA/eNDqNq+6LSb2HnZrFzQOxZn/kEqapx8ujmdqhpnY8YVaXYq5kVEREREpEUpqazh883pOF0GHcL9OKdLxBmf09tupfTbOfg7bOSXVfPltgycLqMR0oqYQ8W8iIiIiIi0GNW1Lj7bnE55tZPwAG8m9Y7F2kjLyhnlhVzcLw4vm4WD+RUs2ZWNYaigF8+kYl5ERERERFqM73fnkFtajZ+3jYv7xrmXnWssUYE+nN87BguwPb2Y5OzSRj2/SHNRMS8iIiIiIi1CWkEFOzKKAbigdyxBvl5N8jwdIwI4u0MYUPfhQVWtrp8Xz6NiXkREREREzGe18d3ObAB6twuiXahvkz7d2R1CCfHzoqzayfLkvCZ9LpGmoGJeRERERERM5+h1Hvnl1fh62RjR6cwb3p2I3WZlXPcoALamFZFeWNHkzynSmFTMi4iIiIiIqYoqavDpdwEAo7pGnPJa8qerfagfPWODAPhuZ7a624tHUTEvIiIiIiKmMQyDJbuysdi9iQ/1pVt0YLM+/8guEfh62cgrq2Z9akGzPrfImVAxLyIiIiIipknOLuVAXjmGs4Yx3aOwNNIydCfL18vGqMPr2K9JyccaGNmszy9yulTMi4iIiIiIKWpdLpbtyQWgcssCQv28TcnRLSaQhDA/nC4DnwEXmZJB5FSpmBcREREREVPsSC+mtKqWAIedqm3fmJbDYrEwsnPd6LxX0iDySqtMyyJyslTMi4iIiIhIs6t1uVi7v+4a9UGJoeCsNTVPZKCDzpEBWCxWVqfkm5pF5GSomBcRERERkWZXPyrv77DRKy7I7DgADOkYhmG42JNdSk6JRuelZVMxLyIiIiIizeqXo/JnJ4Zht7WMsiQiwEHN/vUArE7JMzmNyPG1jP81IiIiIiLSZrTEUfl6lZu+BGBvThnZxZUmpxE5NrvZAURERERExLNdesVVZOcde432Xbv3uL9uqaPy9VxFmXSLCWRXZgmrUvK5uF+c2ZFEjkrFvIiIiIiInJHsvAIuv//FY+5/dNo499cteVS+3pCkMHZnlpCSW0ZmcSUxQT5mRxI5Qsv6GExERERERFotp8v4RQf7ljcqXy/Uz5vusYEArFFne2mhWub/HhERERERaXX2ZJdQWlWLn7eN3i10VL7e2R3CAEjJLaOwvNrkNCJHUjEvIiIiIiLNYvPBIgD6tg9usaPy9UL9vEkM9wN+zi3SkrTs/0EiIiIiItIqZBZVkllcic1ioXdcsNlxTsqA+BAAdmQUU1XrNDeMyK+omBcRERERkSa3+VAhAF2iA/B3eEYf7oQwP0L9vKh2utiRXmx2HJEGVMyLiIiIiEiTsvgEsjurBIB+h0e7PYHFYqH/4bybDxXhMgxzA4n8gop5ERERERFpUt5dz8FlQEyQj8ct89YjNgiH3UpRRQ37c8vMjiPipmJeRERERESajNNl4Og+CoB+8Z5xrfwvedms9DrceX/TwUJzw4j8gop5ERERERFpMsnZpVj9QvDzttElKtDsOKelX/sQLMDBggpyS6vMjiMCqJgXEREREZEmVN/4rk+7YGxWi7lhTlOQrxcdI/0B2KzReWkhVMyLiIiIiEiTyC6uJKOoEsNZS592njfF/pcGxIcCsDOzBJfN2+Q0IuAZa0KIiIiIiIjH2ZpeBEDNgQ34O3qYnObMxIX4EO7vTV5ZNSk1IYwYO+GYx0aFh/Lx/A+aMZ20RSrmRURERESk0dU4XezOLAWgevePwHXmBjpDFouFnnFB/LAnF3vn4Vx+1fhjHvvh7JnNmEzaKk2zFxERERGRRrc3p5Rqp4sgHzu1mXvMjtMoesQEYbWAPSKRnBI1whNzqZgXEREREZFGtz29GICesUGAYW6YRuLrbaNjZAAA2w9fQiBiFhXzIiIiIiLSqIoqajhUUAFAj9ggk9M0rvo153dmllDrdJmcRtoyFfMiIiIiItKofsqoG5WPD/MlyNfL5DSNKyHMD1dpPlW1LvbmlJkdR9owFfMiIiIiItJoDMNgx+FivlesZy9HdzRWi4Xq5JUAbM/QVHsxj4p5ERERERFpNAcLKiiprMVht9Ip0t/sOE2iOnkFAAfzKyiuqDE5jbRVKuZFRERERKTR1DeG6xodiN3WOssNV2ke8aG+AGw/PAtBpLm1zv9dIiIiIiLS7CprnO7ryOsbxbVWveLqLiHYkV6My2gd3frFs5hazL/88sv07duXoKAggoKCGDZsGF9//bV7f2VlJTNmzCA8PJyAgACmTp1KVlZWg3OkpqYyefJk/Pz8iIqK4p577qG2tra5X4qIiIiISJu3O6sEp8sgPMCbqECH2XGaVKdIfxx2K6VVtRzMLzc7jrRBphbz7du354knnmD9+vWsW7eOsWPHcskll7B9+3YA7r77bj7//HPmz5/P999/T3p6Opdddpn78U6nk8mTJ1NdXc2KFSt4++23eeutt3jooYfMekkiIiIiIm3WTxklQN3a8haLxeQ0Tctus9I1OhCAXVklJqeRtsjUYv6iiy7iggsuoEuXLnTt2pW//vWvBAQEsGrVKoqKinjjjTd45plnGDt2LAMHDmTu3LmsWLGCVatWAbBw4UJ27NjBu+++S//+/Zk0aRKPP/44c+bMobq62syXJiIiIiLSphSWV5NZXIkF6Ha4yG3tusXUvc692WXUaM15aWYt5pp5p9PJ+++/T1lZGcOGDWP9+vXU1NQwfvx49zHdu3cnISGBlSvrloJYuXIlffr0ITo62n3MxIkTKS4udo/uH01VVRXFxcUNbiIiIiIicvp2Z5UCEB/mh7/DbnKa5hEX7EOQj51qp4uUXK05L83L9GJ+69atBAQE4HA4+L//+z8+/vhjevbsSWZmJt7e3oSEhDQ4Pjo6mszMTAAyMzMbFPL1++v3Hcvs2bMJDg523+Lj4xv3RYmIiIiItCEGsDOzboCsrYzKA1gsFvfo/M5MTbWX5mV6Md+tWzc2bdrE6tWruf3225k+fTo7duxo0ue8//77KSoqct8OHjzYpM8nIiIiItKa1fhFUlBeg81qoVNU61xb/ljqP7w4kFdGRbXT5DTSlpg+/8Xb25vOnTsDMHDgQNauXcs///lPrrrqKqqrqyksLGwwOp+VlUVMTAwAMTExrFmzpsH56rvd1x9zNA6HA4ejdXfXFBERERFpLhXh3QBIivDHYbeZnKZ5hQc4iAxwkFNaxZ7sEvq2DzE7krQRpo/M/5rL5aKqqoqBAwfi5eXF4sWL3ft27dpFamoqw4YNA2DYsGFs3bqV7Oxs9zGLFi0iKCiInj17Nnt2EREREZG2xuUyKA/vCrStKfa/1F1T7cUEp1XMd+zYkby8vCO2FxYW0rFjx5M+z/3338+yZcvYv38/W7du5f7772fp0qVcd911BAcHc/PNNzNr1iyWLFnC+vXruemmmxg2bBhDhw4FYMKECfTs2ZNp06axefNmvvnmGx544AFmzJihkXcRERERkWawZn8+Lu9AvO1WOoT7mR3HFPVL1GUUVVJcUWNyGmkrTmua/f79+3E6j7wepKqqirS0tJM+T3Z2NjfccAMZGRkEBwfTt29fvvnmG8477zwAnn32WaxWK1OnTqWqqoqJEyfy0ksvuR9vs9n44osvuP322xk2bBj+/v5Mnz6dxx577HReloiIiIiInKJPN9W9/+8SFYDd1uIm/jaLAB877UN9OVRQwU6tOS/N5JSK+c8++8z99TfffENwcLD7vtPpZPHixXTo0OGkz/fGG28cd7+Pjw9z5sxhzpw5xzwmMTGRr7766qSfU0REREREGkdVrZOvttatItVWp9jX6x4TyKGCCnZllOBjdhhpE06pmJ8yZQpQtwTD9OnTG+zz8vKiQ4cO/OMf/2i0cCIiIiIi0nIt251LUUUN1upS2oX6mh3HVJ2jAliyK4f88moi/SLNjiNtwCkV8y6XC4CkpCTWrl1LREREk4QSEREREZGWr36KvV/ebqyWASanMZfDbiMpwp/k7FJ3d3+RpnRaF7WkpKSokBcRERERacPKq2v59qe6ZaF983eZnKZlqL/UoCKsC4ZhmJxGWrvTXmd+8eLFLF68mOzsbPeIfb0333zzjIOJiIiIiEjLtWRnDpU1LhLC/Kgtyz7xA9qADuF+eNks1DiC2HiwkLMSQs2OJK3YaY3MP/roo0yYMIHFixeTm5tLQUFBg5uIiIiIiLRuX23LAGBSnxgsJmdpKew2Kx0jAgD4ckuGyWmktTutkflXXnmFt956i2nTpjV2HhERERERaUEuveIqsvMaDtgZFhsZZ90KNm8+eulvpOzeY1K6lqdLdAC7skr4cksGf76gB1arPuqQpnFaxXx1dTXDhw9v7CwiIiIiItLCZOcVcPn9LzbYtjenlC+2ZBDoY+eaOx7gsRvGm5Su5UkM88OoriCzGAZPuRFH6dFH6KPCQ/l4/gfNnE5ak9Mq5n/7298yb948HnzwwcbOIyIiIiIiLdye7FKgbjk2i0Ujz79kt1mpSd2Md+ehtJtwC6O7RR31uA9nz2zmZNLanFYxX1lZyWuvvca3335L37598fLyarD/mWeeaZRwIiIiIiLSstS6XKTklAHQOTLA5DQtU/X+dXh3HkpydimjukZi1Qce0gROq5jfsmUL/fv3B2Dbtm0N9umTORERERGR1is1v5xqpwt/h43YYB+z47RItek/4bBbKat2kl5YQftQP7MjSSt0WsX8kiVLGjuHiIiIiIh4gOT6KfaRmmJ/TC4nnSID2JFRzJ6sUhXz0iROa2k6ERERERFpe5wug32Hp9h3iQo0OU3L1iW67hKEPdmluAzD5DTSGp3WyPyYMWOO+yncd999d9qBRERERESkZTpUUE5VrQs/bxuxIZpifzzxoX742K1U1DhJK6ggPkyj89K4TquYr79evl5NTQ2bNm1i27ZtTJ8+vTFyiYiIiIhIC1Pfxb5TZICaup2AzWqhU1QA29OL2Z1VomJeGt1pFfPPPvvsUbc/8sgjlJaWnlEgERERERFpeVwug705de/1u0Spi/3J6HK4mN+bU8aYbgZWqz4AkcbTqNfMX3/99bz55puNeUoREREREWkBDhVWUFnjwsfLSrsQX7PjeIT2v5xqX1hhdhxpZRq1mF+5ciU+Prp2RkRERESktUn+5RR7jTCfFJvVQsfIulkMyTmawSyN67Sm2V922WUN7huGQUZGBuvWrePBBx9slGAiIiIiItIyuAzDXcxriv2p6RxVt0Td3uxSRneN1HJ+0mhOq5gPDg5ucN9qtdKtWzcee+wxJkyY0CjBRERERESkZcgorKSixonDbtWa6acoPswXb7uVsmonGUWVxOkSBWkkp1XMz507t7FziIiIiIhIC7UnuwSAjpH+2DTF/pTYrVY6RvizM7OEPdmlKual0ZxWMV9v/fr1/PTTTwD06tWLAQMGNEooERERERFpGQx+vt67S1SguWE8VOeoAHZmlpCcXcqoLhGaai+N4rSK+ezsbK6++mqWLl1KSEgIAIWFhYwZM4b333+fyMjIxswoIiIiIiImqQ6IpazKibfNSnyYRpVPR2KYH142C6VVtWQVVxETrKbhcuZOq5v9HXfcQUlJCdu3byc/P5/8/Hy2bdtGcXExd955Z2NnFBERERERk1SEdQYgKdIfu7VRF8NqM+w2K0nh/oC62kvjOa3/jQsWLOCll16iR48e7m09e/Zkzpw5fP31140WTkREREREzGMYBpWhdcW8utifmc6H//6Ss0sxDMPkNNIanFYx73K58PLyOmK7l5cXLpfrjEOJiIiIiIj5thwqwukIwstmITFMXezPRGK4P3arhaKKGnJLq82OI63AaRXzY8eO5a677iI9Pd29LS0tjbvvvptx48Y1WjgRERERETHPV9syAEgK98du0xT7M+Ftt5IYXveBSHK2ptrLmTut/5EvvvgixcXFdOjQgU6dOtGpUyeSkpIoLi7mhRdeaOyMIiIiIiLSzAzD4OutmcDPU8TlzNT/PdYv9SdyJk6rm318fDwbNmzg22+/ZefOnQD06NGD8ePHN2o4ERERERExx/b0YlLzy7E4a+gQ4W92nFYhKcIfm8VCQXkNXj5hZscRD3dKI/PfffcdPXv2pLi4GIvFwnnnnccdd9zBHXfcwdlnn02vXr344YcfmiqriIiIiIg0k68PT7F3FB3AS1PsG4XDbnMv71e/SoDI6Tql/5XPPfcct9xyC0FBQUfsCw4O5rbbbuOZZ55ptHAiIiIiItL8DMPgq8NT7H3z95icpnXpEhUIqJiXM3dKxfzmzZs5//zzj7l/woQJrF+//oxDiYiIiIiIeXZllZCSW4a33YpP4X6z47QqHSP9sVqg1i+SlNwys+OIBzulYj4rK+uoS9LVs9vt5OTknHEoERERERExT33ju1FdIrG6tIxaY/LxstE+tK6rff2lDCKn45SK+Xbt2rFt27Zj7t+yZQuxsbFnHEpERERERMxTX2Re0CfG5CStU31X+/oPTUROxykV8xdccAEPPvgglZWVR+yrqKjg4Ycf5sILL2y0cCIiIiIi0rySs0vYnVWKl83CuB7RZsdplTpF+oPhYmtaEQfzy82OIx7qlJame+CBB/joo4/o2rUrM2fOpFu3bgDs3LmTOXPm4HQ6+fOf/9wkQUVEREREpOnVjxaP7BxBsO+xL7GV0+fnbce7JI3qoHgWbMvkllEdzY4kHuiUivno6GhWrFjB7bffzv33349hGABYLBYmTpzInDlziI7Wp3ciIiIiIp7qq211xfyk3rp8tin55idTHRTP19syVMzLaTmlYh4gMTGRr776ioKCApKTkzEMgy5duhAaGtoU+UREREREpJnszy3jp4xibFYL5/XUIF1T8i3YS1GHMWxILSSjqILYYF+zI4mHOaVr5n8pNDSUs88+m8GDB6uQFxERERFpBb4+PCo/vFM4of7eJqdp3Ww1ZQxKrKujvtmmRnhy6k67mBcRERERkdalvou9ptg3j/N7160W8JWKeTkNKuZFRERERISD+eVsOVSE1QITemmKfXOY1KfuQ5O1+/PJKakyOY14GhXzIiIiIiLCgsOjw0OSwokIcJicpm1oF+JLv/bBGAZ8s12j83JqVMyLiIiIiAhfHZ5if0GfGJOTtC31o/MLNNVeTpGKeRERERGRNi69sIKNqYVYLDCxl4r55jTp8HXzK/flUVBWbXIa8SQq5kVERERE2rj6UeFBiaFEBfmYnKZtSQz3p2dsEE6XwaIdWWbHEQ+iYl5EREREpI2rL+bVxd4ck9xd7TNMTiKeRMW8iIiIiEgbll1cydoD+cDPS6VJ85p0uE/B8uRciipqTE4jnsJudgARERERETHPN9szMQwYkBBCXIiv2XHajF07dzJi7AT3fXvv66nxC2f0DX/AL28nUeGhfDz/AxMTSkunYl5EREREpA37amvdFPsLNMW+WdW6DC6//0X3/ZV781izP5/QIZdxUb84Ppw908R04gk0zV5EREREpI3KLa1idUoeoCn2ZuscFQDAgfxyqmtdJqcRT6BiXkRERESkjVq4PQuXAX3aBRMf5md2nDYtIsCbYF8vnC6D/XllZscRD6BiXkRERESkjfr6cPf0+gZsYh6LxUKXw6Pze7JLTU4jnsDUYn727NmcffbZBAYGEhUVxZQpU9i1a1eDYyorK5kxYwbh4eEEBAQwdepUsrIarr+YmprK5MmT8fPzIyoqinvuuYfa2trmfCkiIiIiIh6loKyaFXvrpthrSbqWoX6q/f7cMlxWtTeT4zO1mP/++++ZMWMGq1atYtGiRdTU1DBhwgTKyn6eVnL33Xfz+eefM3/+fL7//nvS09O57LLL3PudTieTJ0+murqaFStW8Pbbb/PWW2/x0EMPmfGSREREREQ8wqKfsnC6DHrEBpEU4W92HAGiAh0E+tipdRlUBSeaHUdaOFM/7lmwYEGD+2+99RZRUVGsX7+eUaNGUVRUxBtvvMG8efMYO3YsAHPnzqVHjx6sWrWKoUOHsnDhQnbs2MG3335LdHQ0/fv35/HHH+fee+/lkUcewdvb+4jnraqqoqqqyn2/uLi4aV+oiIiIiEgL8/XWuin2hdu+Z8TYx4953K7de5orUptnsVjoHBXAxtRCKkI7mx1HWrgWNXejqKgIgLCwMADWr19PTU0N48ePdx/TvXt3EhISWLlyJUOHDmXlypX06dOH6Oho9zETJ07k9ttvZ/v27QwYMOCI55k9ezaPPvpoE78aEREREZGWqaiihh+TcwFwpm3lyl8skfZrj04b11yxBOhyuJivDE2iqtaJw24zO5K0UC2mAZ7L5eL3v/89I0aMoHfv3gBkZmbi7e1NSEhIg2Ojo6PJzMx0H/PLQr5+f/2+o7n//vspKipy3w4ePNjIr0ZEREREpOVatCOLGqdB1+gAvCoLzI4jvxAT5IO/w4Zhc/Djnlyz40gL1mKK+RkzZrBt2zbef//9Jn8uh8NBUFBQg5uIiIiISFvxxZZ0AC7sG2dyEvk1i8VC58i6Rnhfbzv64KQItJBifubMmXzxxRcsWbKE9u3bu7fHxMRQXV1NYWFhg+OzsrKIiYlxH/Pr7vb19+uPERERERGROoXl1e4R3wv6qIt9S1Tf1b5uBoXL5DTSUplazBuGwcyZM/n444/57rvvSEpKarB/4MCBeHl5sXjxYve2Xbt2kZqayrBhwwAYNmwYW7duJTs7233MokWLCAoKomfPns3zQkREREREPMTC7VnUugy6xwS6i0ZpWeJCfLHWlFNUUcPKw8sHivyaqQ3wZsyYwbx58/j0008JDAx0X+MeHByMr68vwcHB3HzzzcyaNYuwsDCCgoK44447GDZsGEOHDgVgwoQJ9OzZk2nTpvHkk0+SmZnJAw88wIwZM3A4HGa+PBERERGRFueLw13sL+qnKfYtldViwadgL+VRffh6WwajukaaHUlaIFNH5l9++WWKiooYPXo0sbGx7tsHH3zgPubZZ5/lwgsvZOrUqYwaNYqYmBg++ugj936bzcYXX3yBzWZj2LBhXH/99dxwww089thjZrwkEREREZEWK7+smuXJmmLvCXzz65YEXLg9i1pNtZejMHVk3jCMEx7j4+PDnDlzmDNnzjGPSUxM5KuvvmrMaCIiIiIirc432zNxugx6xQWRFOFvdhw5DkdJGiF+XuSVVbNmfz7DO0WYHUlamBbRAE9ERERERJrel1vqpthP7qtR+ZbOYrg4r0fdktsL1NVejkLFvIiIiIhIG5BbWsWKvXVT7C/so+vlPUH9pRALtmXicp14VrO0LSrmRURERETagAXbMnEZ0Ld9MAnhfmbHkZMwvHM4gQ472SVVbEgtMDuOtDAq5kVERERE2gD3FHs1vvMYDruN8T3rptp/tVVT7aUhFfMiIiIiIq1cdkklq1Pq1itXF3vPcn7vGAAWbMvQVHtpQMW8iIiIiEgr9/XWuin2/eJDiA/TFHtPcm7XSAIcdtKLKtl4UFPt5Wcq5kVEREREWrlPNqUBcEk/Nb7zND5eNiYcnmr/+eYMk9NIS2LqOvMiIiLSclx6xVVk5x171CcqPJSP53/QjIlEpDGk5pWzMbUQqwUu7Kcp9p7oon5xfLQxjS+2ZPDghT2xWS1mR5IWQMW8iIiIAJCdV8Dl9794zP0fzp7ZjGlEpLF8trluVH5E5wiiAn1MTiOnY0TnCEL8vMgtrWL1vjyGd44wO5K0AJpmLyIiIiLSShmGwSeb0gG4WFPsPZa33cqkw43wPt+SbnIaaSk0Mi8iImKyE01vT9m3l6SOnY57Dk2BF5Gj2ZFRTHJ2Kd52KxMPF4PimS7qG8d/1hzk622ZPHpxb7ztGpdt61TMi4iImOxE09sfnTbuuPtBU+BF5Og+OzwqP75HFEE+XiankTMxpGM4EQEOckurWJ6cy5juUWZHEpOpmBcREWkFdu3cyYixE465XyP3Im2Py2Xw2eb6KfbtTE4jZ8pmtXBh31jeWrGfzzenq5gXFfMiIiKtQa3LUPM6EWlgzf58MooqCfSxM7pbpNlxpBFc1K+umF+4I4vKGic+XjazI4mJdKGFiIiIiEgr9OnhKfYX9I5V0ddKDIgPpV2IL6VVtSzdlW12HDGZinkRERERkVamutbFV1szALikv7rYtxbWw1PtAT7fnGFyGjGbinkRERERkVbm+905FFXUEBXoYEjHcLPjSCO66PASg9/+lEVpVa3JacRMumZeREQ80omWc2uMhm8neo7Geh4Rkcb2ycY0oK7ws1ktJqeRxtQrLoikCH9ScstYuD2Ty85qb3YkMYmKeRER8UgnWs6tMRq+neg5AP46ffxRu8i7rF44vQMJjIjllpl3k1taRUF5DQVl1eSXV1NcUUNFjYuqGieZ/X7Dq8v2AmCh7k23xQJ2qwUvu5WASffw8cY0fLys+Hnb8XfY8Pe2E+CwE+znRaBDv85F5GeF5dUs2pEFwGVnqYt9a2OxWJjSvx3PfrubjzemqZhvw/TbX0RE5DTVuly4guPofdPfKCyvobC8hoLyaooqaqiqdQGQDdz30dbjn8gRiLPGdczd9uhOpOaXH3O/zWoh8JIH+WJLOhEBDqICHUQGOghw2LFYNCIn0tZ8vjmdaqeLHrFB9IoLNjuONIFLB9QV88uTc8kqriQ6yMfsSGICFfMiIiInoarWSXZxFVklleSUVJFXWk1BeTVBlzzIN9uzjvoYh92Kszibcwb0IDLQQZi/g1A/L0L9vQn29cLXy4avt43fzbyDiTff536cARhG3YcFNU6Dd//xIJfOfJiKGiflVU7Kqmspq6qlpKqW4ooanC4DW2g79uaUsTenzH0eXy8bMcE+tAvxpdo/mhqnCy+b2uWItHYfrj8EwBUDNWLbWiWE+zEoMZR1Bwr4bFM6t4zqaHYkMYGKeRERabOOdU28AdT6hJLqimDhjkyyiqrIL68+6jlcVWW0jwon1N+bEF8vQvy8CfHzIsjHC2+7lQ9nP8vc5xceN4d3eQ7hAY5j7q9J3USP2KCjP7/LoLiyhjmP/YELfvcYOaVVZJdUkV9WTUWNk5TcMlJyy6DX1fR7dCGDOoQxumskY7tH0SHC/7i5RMTz7M4qYfOhIuxWi7rYt3JTBrRj3YECPtqYpmK+jVIxLyIibdYvr4kvLK/mQF45BwvKSS+spKLGiQ/wU0aJ+/hAHzvRgT5EBTmICHAQEeDNM7eczxXvLDbpFdQtUxTi501t2g4GJIS6t9c6XeSWVpNeVEFaQQUpmXmU48Oy3Tks253DY1/sICnCnzHdopjUJ4aBv3isiHiu/x0elR/bPeq4HxKK57uwbyyPfb6DnzKK2ZlZTPeYo3/oK62XinkREWlxTqaL/K7de87oOYora6gI6ch3O7NJzS+nqKKmwX6b1UJV+i6GDR1CbLAv0UEO/LxP/dfmrp07j9ogr8ExZ/hajsZusxIT7ENMsA9nJYQy/6u/8cZ7H/Ljnly+25nN2v35h0ftU3hzeQrRQQ5KE0aRVlhBXLCPrrUX8UC1ThcfHe5if7mm2Ld6IX7ejOkeyTfbs/h4Yxr3T1Ix39aomBcRkRbnZLrIPzpt3Cmd0zAMtqUVs3RXNsv25LAhtRBn14vITysCwGqBuGBfEsL9aB/qS1SgD3+ZfhvDrzuzUfdal9Hor+V0WIAesUH0iA3illEdKamsYXlyLgt3ZLFoRxZZxVUQM4AP1x8i0MdOj5ggesQGEuLn3eTZRKRxLNuTQ05JFeH+3ozpHmV2HGkGlw5oxzfbs/h0Yzp/nNhdyxC2MSrmRUSk1TIMg00HC/l6WyZfbc3gUEFFg/22ygJ6d+5QV8CH+OFtb73N4Y43QyDQYsMrOIEsWzT+XYdRUlnLmv35rNmfT1ywDz3jgugaHdjMiUXkVNU3vrukfzs1u2wjxnSPItjXi8ziSlbvy2N45wizI0kzUjEvIiKtimEYZBRVUpgwihFPfEd6UaV7n4+XlVFdIjm3WySjukRy9eVTGD35+KPmrcXJzhD4/c3XsjenjJ8yiknNLye9qJL0okqW7cnFK2EUydkldI5SYS/S0hSUVfPtjmwArhikKfZthcNuY3LfWOatTuWjjWkq5tsYFfMiIuLxDMMgq7iKnZnFJOeUUlblhJgBlBVV4udtY1yPaC7oHcO53SJP67r3tsRus9ItJpBuMYGUVtbyU2Yx29OLKaqooTpmAOOfWcbQjmH8ZkQS43tEY9WUTpEW4fMtdWvL94oLOubqF9I6XTqgHfNWp/L11gwev6Q3vt42syNJM9E7GhER8VhlVXXF5k/pJQ2WjvO2WbFl7eC5u6/j3K6R+Hjpjc3pCPCxc3aHMAYlhpKaX86C75ZRHd6ZVfvyWbUvn6QIf34zMonLz2qvN48iJpu/rm6KvRrftT2DEkOJD/PlYH4FC3dkckn/dmZHkmaii2lERMSj1Lpc7MkqwX/c73hjeQrLk/PIL6/GZrXQLTqQi/rFcsuoJML2fcPEXjEq5BuBxWIhMdyf8OQvWX7fWG4f3YkgHzspuWU8+Mk2hj+xmH8s3EV2SeWJTyYijW7roSK2phXhbbOqkGuDLBYLlw6o+xCnvm+CtA0amRcREY+QU1LF9vQidmWWUFnrwiu+L4YBscE+9IwNokt0AA67CvemFhvsy73nd2fmmM7MX3eQN5ancDC/ghe+S+bV7/cxZUAcN4/sSLcYXVcv0lzmrTkAwKQ+MYT5awWKtuiKge15fvEefkzO5VBBOe1D/cyOJM1AxbyIiLRYtS4XyVmlbD5URGbxz6O+AQ47uWs/59Zb/49QvXFtNkfriG9gISy0E6UxA6gOjOO/6w7x33WHGNMtkjvGdeGshFCT0oq0DcWVNXy6KR2A64YkmpxGGtPxViGpFxUeysfzPyA+zI8RncNZnpzH/HWHuPu8rs2UUsykYl5ERFqcWu9Alifnsj29mIoaJ1C3DnznyAB6xgURH+bH469+Sqj/nSYnbVtO1BE/o6iCzxYuoTq8C0t25bBkVw4jOodzx9guDO0Y3oxJRdqOTzemUV7tpEtUAGd30IdnrcnJrELy4eyZ7q+vHBTP8uQ8Plx/iDvHddGa822AinkREWl2l15xFdl5BQ22GUBVUAJl0X2p6HsjWQfq9gc47PRpF0yvuCD8Hfq11ZLFBvsSnvwV7/3tY15eupf/bTjE8uQ8lifnMbhDGDPHduacLhFYLHqDKdIYDMPgvdWpAFw3JEH/t9q4ib1iCPb1Iq2wguXJuYzqGml2JGlielckIiLNLjuvwD3aUON0sSO9mE2HCiksrwHAAsSH+tK3fQgdI/y1/JkH2bVzJ9ddeSkA4d6BlMYOoiyyJ2v253PDm2vwq8zhhdsmMbZ7lAoPkTO0IbWAnZkl+HhZufQsdbFv63y8bEzpH8fbKw/wwbqDKubbABXzIiJiivLqWjYfKmLLoUIqa1xA3ZJyPWID+eGF33PZi/PO6Pwnc63hrt17zug55EhHmxZaWlnL+tQCtqUVUe4Tyc1vr6NnbBB3jO3MxF4x+rBG5DS9t6puVP6ivnEE+3qZnEZagisGxfP2ygMs2p5FQVm1+sq0cirmRUSkWe3PLaMwcQxvLt+P02UAEOzrxYD4EHrEBuFtt/J9UdYZP8/JXGv46LRxZ/w8cmIBPnbO7RrJoMRQ3v/vfIwOQ9iRUczt722gS1QAM8d25sK+cbq+U+QUFJRV88XWDACuG6rGd1Kn9+HL0ranF/PxxjR+MzLJ7EjShFTMi4hIs9iQWsBr3+/jmx2ZGNF9wWUQHeRgYEIonaICsGrKdavn77CT+e0bdO69Hmt0f0qj+7MnG+56fxOz3lpCYPpa/PJ2ER0WzMfzPzA7rkiL9r8Nh6iuddErLoh+7YPNjiMtyFVnx/PQp9v577qD3DSigy5pasVUzIuISJNxuQwW78zmtWV7Wbv/54Z3jsIULhw7knYhvnqT0cbUugyuuudpAKpqnWw+WMTG1AIqfUIp7DgBV88LKP9pAdW1LrztVpPTirRMDRvfJernqDRwSb92/OXLn9iZWcKWQ0X0iw8xO5I0ERXzIiLS6CprnHyyMY1//bCPvTllAHjZLEzp345bR3Xkxmv+Sfupx7+eXVo/h93G4KQw+seHsDWtiPUHCiiurIWk8Yx5eim3j+7EFYPa47DbzI4q0qL8sCeXlNwy/L1tXNw/7rjHHm31kF9T/5DWJdjPi0m9Y/h0UzofrDuoYr4VUzEvIiKNpqi8hndXH2Du8v3kllYBEOhj57ohidw0ogPRQT4mJ5SWyNtuZWBiKH3bB7M1rYjl2w+QVggPfLKNF79L5vbRnbjq7Hh8vFTUiwC8/mMKAFeeHU/ACZbs/OXqIcei/iGtz1Vnx/PppnQ+3ZjG/ZO6E+ijBomtkYp5ERE5Y4cKynnjxxQ+WHuQ8monAHHBPvxmZBJXD0444ZtNEQAvm5WzEkLZO+8Rbnv8ZV5eupfM4koe/mw7c5Ykc9u5nbh2cAK+3irqpe3alVnCst05WC1w03A1N5OjG9YxnM5RASRnl/LRhjSmD+9gdiRpAnp3JSIip21bWhGvLdvHl1sz3J3pu8cEctu5HbmwbxxeNl3zLKfOYjiZPrwDVw+OZ/66Q7y8dC9phRU8/sUOXl6azK2jOnLdkET89SGRtEFvHh6Vn9AzhoRwP5PTSEtlsViYNjSRhz/bzjurDnDDMPVWaI30W1BERE6JYRj8sCeX15bt48fkXPf2kZ0juHVUR87pEqE3DNIoHHYb1w9N5MpB8Xy04RBzliZzML+Cv321k1e+38dvz0nihmEdNPND2ozc0io+3pQGwG/P0ai8HN9lZ7XjyQU7Sc4uZeW+PIZ3ijA7kjQy/fYTEZGTUuN08cWWdF5blsJPGcUA2KwWLuwbyy3ndKR3Oy2NJE3D227l6sEJTB3Ynk82pjFnSTL788p5csEuXlu2j5tHJDF9RAeCdE2otHLvrjpAda2LfvEhDEwMNTuOtHCBPl5celY73l2VyjsrD6iYb4VUzIuIiNvRuh67rF6URfWmLHoATkcgAH7eNq4+O4HfjOxA+1BN85Tm4WWzcsWgeC4d0I7Pt6TzwnfJ7Msp4x+LdvPaD/u4aUQSvxnRgRA/b7OjijS6yhon76w8AMBvRyZpBpSclGlDO/DuqlQW7sgio6iC2GBfsyNJI1IxLyIibr/selxaVcumg4VsTSuiutYF1BXx9r0/8MO/HiHYT6OgYg67zcqlA9pzcb92fLk1gxcW72FPdinPL97DGz/s4/qhidw8MokorZ4grcinm9LIK6umXYgvk3rHmB1HPES3mEAGJ4WxJiWf/6xOZdaEbmZHkkakYl5ERBrIK61iQ2ohOzOLOdzTjlA/L85KCKV7TCCf/PjMcQt5rWksZ2rXzp2MGDvhmPujwkP5eP4H2KwWLu4Xx4V9YlmwPZPnF+9hZ2YJry7bx2tL9+CXs52AzPXYq4qPeQ4RT2AYBq//UNf47sbhHbCruaicghuGJbImJZ95aw4yc2wXvO36/mktVMyLiAiGYbA6JZ/crhfz7upU9/a4YB8GJoaSFOF/0lM6taaxnKlal3Hc76EPZ89scN9qtXBBn1gm9Y5hya5s5izZy/oDBZRF96U8pi9dowMZlBhKRIDjmOcQacm+353DnuxS/L1tXDU43uw44mEm9oohKtBBdkkVC7ZncnG/OLMjSSNRMS8i0oY5XQYLtmXy2rK9bD5UBCF13ZE7RfozMDFU19aJR7FYLIztHs2YblGcPeUm/EdM50B+ObsyS9iVWULHCH8GddD3tXgWwzB44btkAK4enKBGj3LKvGxWrhmcwD8X7+GdlftVzLciphbzy5Yt46mnnmL9+vVkZGTw8ccfM2XKFPd+wzB4+OGH+de//kVhYSEjRozg5ZdfpkuXLu5j8vPzueOOO/j888+xWq1MnTqVf/7znwQEBJjwikREPENFtZP56w/y+g8ppOaXA+CwW7GnbWLqlIsIVQMxacFONA0fYP/uPfx55p/ILq5k7YECkrNL2Zdbxr7cMtqH+pJcBMPHTuB48000FV9aghV781h/oABvu5VbR3U0O454qGuHJDBnSTJr9xew5VAhfduHmB1JGoGpxXxZWRn9+vXjN7/5DZdddtkR+5988kmef/553n77bZKSknjwwQeZOHEiO3bswMenrqnNddddR0ZGBosWLaKmpoabbrqJW2+9lXnz5jX3yxERaTIncx36yRQeeaVVvL3yAO+s3E9BeQ1Qdz38tGEduGFYIpdc/CyhflMbLbdIUzjRNHz4+VKOqCAfJveJpaCsmnUHCtiZWcyhggp8z7uL2kAHZ3cIo1Pk0S8j0VR8MZthGPzz27oeI9cOTiBaTR3lNEUH+XBxvzg+2pjGq8v2Mefas8yOJI3A1GJ+0qRJTJo06aj7DMPgueee44EHHuCSSy4B4N///jfR0dF88sknXH311fz0008sWLCAtWvXMmjQIABeeOEFLrjgAp5++mni4jSFRERah5O5Dv14hcf+3DL+9cM+Plx/iKrDnekTwvz47TlJXDEwHl9v20lnOdGoqJrbSUsU6u/NeT2jGdIxjI0HCtm4P5vsEvhyawZhft4M6hBK1+hAbFYt9yUtx8p9eazZn4+3zcr/ndvJ7Dji4W4Z1ZGPNqbx9dYMUvPKSQjX0rKersVeM5+SkkJmZibjx493bwsODmbIkCGsXLmSq6++mpUrVxISEuIu5AHGjx+P1Wpl9erVXHrppUc9d1VVFVVVVe77xcVHdrkVEfE0Ryuyq/1jKIkdSGVoJzg88tivfTC3jurE+b1jTqtwOdGoqJrbSUsW5OPFud0i+f7pWxh/3+tsPlREfnk1C3dksXJfHgMTQukVF6Ru4dIi1I/KXz04nphgjcrLmekRG8SorpEs253DGz/u49FLepsdSc5Qiy3mMzMzAYiOjm6wPTo62r0vMzOTqKioBvvtdjthYWHuY45m9uzZPProo42cWETEXPVFtmEYpOSWsf5AATlFle79jsIU3v7jNQxJCjvpzvQirZVRWcLwThEMTAxly6EiNqYWUlJZy9LdOaxOyeeshBBcVvWOEPOs2pfH6pR8vGwWjcpLo7ltVEeW7c7hv+sO8fvxXQn11885T9Zii/mmdP/99zNr1iz3/eLiYuLjtcyHiHg4q51taUVsSC1wXw9vtUD3mCDOSgjhlRm384fdnx33FJoiL22Nw27j7A5hDIgPYXt6MetTCyiprGX53jws/W/iHwt3cdOIJML0hlea2fOL634eXzkonrgQrcAgjWN4p3B6xQWxPb2Yd1Yd4M5xXU78IGmxWmwxHxMTA0BWVhaxsbHu7VlZWfTv3999THZ2doPH1dbWkp+f73780TgcDhwOxzH3i4h4kqpaJ1vTigi6/K8s3ln3M9HbbqVPu2D6x4cQ4Kj7UX8qTcNE2hq7zUq/+BB6twtmd1YJa/fnU1AOL3yXzOs/pHDN4ARuGZWkZe2kWazdn8+KvXl42Sz8bkxns+NIK2KxWLh1VEfuen8Tb6/Yz62jOuLjdfJ9c6RlabEXhCUlJRETE8PixYvd24qLi1m9ejXDhg0DYNiwYRQWFrJ+/Xr3Md999x0ul4shQ4Y0e2YRkeZUVlXL8uRc3ly+n+XJeVj9gglw2DmnSwS/GdGBkZ0j3IW8iJwcm9VCj9ggpg1NJGzPF/RpF0xFjZM3l6cw6skl3PvhFlJyy8yOKa2YYRj8Y+EuAC4fGE87jcpLI5vcJ5Z2Ib7klVXz4fpDZseRM2BqMV9aWsqmTZvYtGkTUNf0btOmTaSmpmKxWPj973/PX/7yFz777DO2bt3KDTfcQFxcnHst+h49enD++edzyy23sGbNGpYvX87MmTO5+uqr1cleRFqtwvJqvtuZzdwV+1l3oIDqWhdhft6U//g2Nw7vwFkJoTjs+pRd5ExYLBZ8C/by2cwR/Ps3gxmSFEaN0+CDdQcZ94+lzJy3gR3paqArje/bn7JZtS8fb7uVmWM1Ki+Nz26zcvPIJABe/2EfTpdhciI5XaYO2axbt44xY8a479dfxz59+nTeeust/vjHP1JWVsatt95KYWEhI0eOZMGCBe415gHee+89Zs6cybhx47BarUydOpXnn3++2V+LiEhTyy6pZP3+AvZkl1L/azcmyIdBHULpGOHPYy+t1LJaIo1o186djBw30X0/IiCW0thBVIZ25IstGXyxJYOx3aOYMaYTAxPDTEwqrUWN08Xsr34C4LcjkzQqL03mqrPj+efiPezPK+frbRlc2FcDoZ7I1GJ+9OjRGMaxPwmyWCw89thjPPbYY8c8JiwsjHnz5jVFPBER0xmGwcp9eeR2m8J/1hx0b08M9+PsxDDiQnzUmV6kiRyrz0ROSRXrDuSzO7OY73Zm893ObIYkhfG7MZ0Z1SVC/yfltL236gD7csuICPDm9tHqYC9Nx99h58bhHfjn4j3889s9TOodqwEBD9Rir5kXEWnLXC6DBdsymPLSCq7912qqghOxAF2jA7h2cAJT+rejXaivigYRE0QGOpjUO5boLe9w9dnxeNksrE7JZ/qba7joxR/5emsGLk1blVNUVFHDPw93sP/9+K4E+niZnEhau9+MTCLIx86e7FK+2JJudhw5DeqMJCLSxC694iqy8wqOe0xUeCgfz/+AWqeLL7Zk8OKSZJKzSwFw2K3Y0zZyxaWXEOyrN3ciLYW9qpAnpvblrvFdeP2HFOatTmVbWjG3v7eBzlEB3DG2Mxf2jdNol5yUOUuSKSivoUtUAFefrSWTpekF+3pxyzkd+cei3fxz8R79vPJAKuZFRJpYdl7BCZeEm//Enfx33UFeWpLM/rxyAAJ97Ewf1oEbR3TgkoufJdj38uaIKyInadfOnYwYO8F9P9jugz26P6XR/UjOhrve38Qf//09s68fxcX94rDbjpwQeSof9knrlZpXzlvL9wPwp8k9jvq9ItIUbhzRgTeWp7Avp4zPNqdx6YD2ZkeSU6BiXkTERLUuFz+ll5DV9wb++OEWAEL8vPjtyCRuGN6BIE2zFGmxjnVNfVWtk82Hith4oIBKgpn13808v3gPM8Z0ZsqAdnj9olA7mQ/7Ppw9s9GzS8vy9wU7qXa6OKdLBKO7RpodR9qQQJ+60fmnvtnFP7/dw0V9j/7Bo7RM+pcSETFBrdPFpoOFvL3iAN/tysbpCCYiwJv7J3Vn+b1jmTm2iwp5EQ/lsNsY3CGMm0YkEXTwR8L8vdmfV849H25h7D+W8v6aVKprXWbHlBZi6a5svtyagdUCf7qgh3qhSLObPryD++fUxxvTzI4jp0Aj8yIizai61sXWtCI2pBZQXu0EwN9hw777O354eza+3lofXqS18LZbSV/yHl2ythAU1YfS2IEczIf7PtrKn/+znMD0tRxK3md2TDFRWVUtf/54GwA3Dk+iR2yQyYmkLQpw2LltVEdmf72T57/bc8QMImm5VMyLiDQD97Tb1AIqa+pG5AJ97AxKDKVnbBCf/LBJhbxIK1TrMrjy3meBujXEt6YVsf5AAeUEUZg0Dr/IAWw+VEivuCDsVr15bmv+sXA3aYUVtA/15f9N7Gp2HGnDpg1L5F8/7ONgfgUfrj/ENYMTzI4kJ0HFvIhIEyoqr6G43RDmLt9P1eFptcG+XpzdIZTuMUHqGivShnjZrJyVEErfdsFsSy9m3YF8yghj6a4c1u0vYGBiKL3jgnS9ahuxMbWAuStSAPjrpX3w8z69t+UnaqK4a/ee0zqvtC1+3nZuH92Zx7/YwTOLdnNRvzgCHCoVWzr9C4mINIH8smpe/2Ef/155gNJ2Q6HWRaifF4M7hNE1OhDrr4r4X3fF/jW9GRNpPew2K/3jQ+gdF8RTT/yFqHOnUVpVy/e7c1i3P7+uqG8XrGmurVh1rYv7/rcVw4DLBrTj3DNoeneiJoqPTht32ueWtmXa0ETeWbmf/XnlvLw0mXsmdjc7kpyAinkRkUaUU1LFv37YxzsrD1BRU3dNvL08l/MG96ZzVADWYzQ2OlZX7Hp6MybS+thtVqp3fs/0+x9gR3ox6w4UUFJZy7I9uaw7UMDAhFD6tA82O6Y0gVe/38uurBLC/b158MKeZscRAer6fPzpgh7c+s56/vVDClefnUB8mJ/ZseQ4VMyLiJyhS6+4ioziakpiB1Ie2RvDVteF3qssi8C0NaSuWUjXixaYnFJEWiq71Urf9iH0igvmp4xi1u7Pp7iylh+S64p6r9iBlFXV4q8pr63CrswSXvguGYCHLupJqL+3yYlEfnZez2iGdQxn5b48nliwkznXnmV2JDkO/VYQETkDGUUV7A7oS2WXAThdBgAxQT4MTgqjQ3hnLJaRPLriS5NTiognsFkt9G4XTI/YIHZmFrN2fwFFFTVUxI9k5N+/47fndOSGYYkEatlKj1VWVcvv3ltPtdPFuO5RXNwvzuxI4uFOdJleVHgoH8//4KTPZ7FYePDCnkx+4Qe+3JLBTcPzGdQhrDGiShNQMS8ichoOFZTz8tK9zF93iOro/uAyiA32YUhSGAlhflonWEROm81qoVdcMD1igtiVVcLiDTspIJSnvtnFa8v2cfPIJKYP70Cwr4p6T/Pgp9vYm1NGdJCDJy/vq98VcsZOdJneh7NnnvI5e8YFcfXZ8fxnzUEe+2IHn/xuxBG9fqRlUGcVEZFTkJpXzn3/28Lop5by3upUqp0uvIsPcdmAdlwxsD2J4f56cyYijcJqtdAjNojoLe/wz6v70ynSn6KKGp5ZtJuRf/+OZxbtprC82uyYcpLmrzvIRxvSsFrg+asHEB7gMDuSyDHNOq8bAQ47Ww4V8fHGNLPjyDGomBcROQkpuWX8v/mbGfOPpby/9iC1LoMRncN5/9ahRO78H/EajReRJmLB4JL+7Vh497m8cM0AukYHUFJZy/OL9zDy70t46pud5JepqG/JdmeV8OCn2wD4w4RuDOkYbnIikeOLDHQwc2xnAGZ/vZOi8hqTE8nRaJq9iMhxTLr2Fvb7daMivBtY6j7/dBTuJzB9DfvXZPCHeVo2TkSa1q+viTWAsNDOFLcbTCmRzFmyl7nL93PDsA7cck6SRnxbmPLqWma8t4HKGhfndIng9nM7nfRjT7SGPOh3kDSdm0Z0YP66g+zNKeOvX+3gycv7mR1JfkXFvIjIUezOKuHF75L5Kf4SODzi3iHcjyFJ4cQEdwHOcx+rZeNEpCkd65pYwzDYl1vGNys3U04Ur3y/l7dX7Of6oQncOqoTkYEq6s3mchn8v/mb2ZNdSlSgg2ev6n9K1x6faA150O8gaToOu42/T+3LFa+u5L/rDnFxv3aM7BJhdiz5BU2zFxH5hR3pxcx4bwMTn1vGZ5vTwWKhY4Q/V58dzyX92xET7GN2RBERoK7rdKfIACK3/4c3pg+ib/tgKmqc/OuHFEb+/Tse+3wHWcWVZsdsswzD4PEvd/DV1ky8bVZeuGYAEZo1IR5mUIcwbhiaCMD9H2+hvLrW5ETySyrmRaTNMwyDNSn53Dh3DRc8/wNfbs3AMOD8XjFEbpvHRf3iiA5SES8iLZMFGNcjmk9njGDuTWfTPz6EqloXby5P4Zy/L+H+j7awL6fU7Jhtzus/pDB3+X4Anr6yn66TF491z/ndiQv24WB+Bf9YuNvsOPILmmYvIm2Wy2WwZFc2Ly3dy/oDddckWi1wQZ9YZo7tTPeYIEbMzTE5pYjIybFYLIzpFsXorpH8mJzL84v3sHZ/Af9Zc5D31x5kYs8Y/m90J/rHh5gdtdX7bHM6f/3qJwD+dEF3rScvHi3AYeevl/Xhprlrmbs8hQv7xjIgIdTsWIKKeRFpg2qdLj7fks4rS/exK6ukbqOrFr/cnwjMWM/G1UXc/HrdZjUWEpGW7tcN8n4pIiCW0thBVIZ2ZMH2TBZsz2RIUhj/N7oTo7tGahWOJrBybx7/77+bAbhxeAduOaejyYlEztyYblFcOqAdH29M497/beGzmSPx8bKZHavNUzEvIm1GRbWTD9cf5NVl+zhUUAGAxVnNWUnRDEgIwd/RA7iswWPUWEhEWrpjNcj7pf88+xCjbrqfTzelsToln9Up+XSPCeS2cztyYd84rrz6mhN2TY8KD+Xj+R80ZvRW54c9Odz67/VUO11M6h3Dgxf21Acm0mo8eGFPlu3OYXdWKbO/+olHL+ltdqQ2T8W8iLR6WcWV/Hvlft5bnUrh4XVSw/29+c3IJN79292MnPAPkxOKiDQtr8p8nr6iH3+Y0JU3f0xh3upUdmaWcPcHm3ni652UOzpz9R+uw8/72G8NP5w9sxkTe56vt2Zw5/sbqXEanNMlgmev6o/tFDrXi7R0Yf7ePH1FP256ay1vrzzAsE7hnN871uxYbZqKeRFptbanF/HGjyl8vjmdGqcBQEKYHzePTOLKQfH4etuY93iVySlFRJpPbLAvf57ck5ljuvDu6gPMXb6frOIqaD+cN3/cT5foAPrFhxCjpp+n5L/rDnLf/7bgMuCCPjE8e1V/HHZNQZbWZ0z3KG4b1ZFXl+3jng+30CsumPgwP7NjtVkq5kWkValvavf6Dyms3Jfn3n52h1BuHtmR83pGa6RERNq8YD8vZozpzG/PSeLrrZnc88bX1ATEsjOzhJ2ZJcQE+dAvPpguUYH6mXkchmHwxo8p/OXLumZ3Vw2K52+X9dHfmbRq/29iN9bsz2djaiEz/7OR+bcNw9uuRdLMoGJeRFqFksoaPt6YxlvL97MvtwwAm9XC5D6x3DwyiX7q3iwicgSH3caUAe14asd/GTnjaTYfLGR3VgmZxZVkbq/khz259G4XTK/YILOjtjhlVbU88Mk2Pt6YBsAt5yTxpwt66Bp5aVGO1yCz3qn2w/CyWXn+6gFMfv4HNh8s5OmFu/jTBT3ONKqcBhXzIuLRfsoo5t1VB/hkYxpl1U4AAn3sXDs4genDOxAX4mtyQhERzxAT5ENMrxhGdo5gW3oRW9OKKKtysiYlnzUp+Xh3v4yPNhxiUu9YfL3b9hTyPVkl3P7eBpKzS7FZLdx3fnd+e06SCnlpcU6mQebp9MOID/PjqSv6cds763lt2T7OSgjl/N4xpxtTTpOKeRHxOFW1ThZsy+TdVQdYu//n7sudIv2ZNjSRywfFE+DQjzcRkdPh77AzJCmcQYlh7M0pZVtaEQcLKqgOimfWfzfz0KfbmdwnlisGtWdgYmibK2A/2nCIP3+8jYoaJ9FBDl645iwGJ4WZHUuk2U3sFcNNIzowd/l+fv/BRj4IHqaZkM1M73ZFxGMcKihn3upUPlh7kLyyagDsVgsTekVz/dBEhnUMb3NvKkVETsaJptru2r3niG02q4Wu0YF0jQ6kuKKGD//7H0L7jiM1v5wP1h3kg3UHSYrw5/KB7ZkyoB3tWvlMqNS8ch79fDuLd2YDMLJzBM9d3Z+IAIfJyUTM8+cLepCSW8bSXTnc/PY6PpkxnPahaojXXFTMi0iLVlnjZNGOLOavP8QPe3Iw6prSEx3k4NrBiVw9OJ7oY3RdvvSKq064bvLR3sCKiLQ2J5pq++i0ccd9fJCvF0Hpa1j678dZsz+f+esO8dXWDFJyy3jqm1089c0uBiSEMLlPLBf0iW1VlzhV1jh5eeleXv5+L9W1LuxWC3eM7cLMsZ3V6E7aPLvNyovXnsXlL69gZ2YJv3lrLR/ePpwgHy+zo7UJKuZFpMUxDINtacXMX3+QTzelU1RR4943vFM4NwxLZFyPaLxsx++cmp1XcMLrxE70BlZERH5mtVoY2jGcoR3DefSSXny1NYP/rT/k7my9MbWQv3z5EwMSQhjfI5rzekbTJSrAI2dN1ThdfLElnWcW7eZgfgVQNxr/yMW96BwVYHI6kZYjwGFn7k1nM2XOcnZnlfK7dzcw96azT/g+Tc6cinkRaTHySqv4ZFM689cdZGdmiXu7raoEv9wd+OX+xIE1RTz+H3gcSNm3l6SOnY55Po26i4g0nQCHnSsHxXPloHiyiyv5elsmX27JYO2Bnwv7p77ZRXyYL+O6RzOqawRDksLxb+E9TUqranl/TSpv/phCelElALHBPjwwuScX9InxyA8mRJpabLAvb0w/mytfXcmPybn88cMtPH1FP81eaWIt+6epiLR6FdVOFu/M4rNN6SzZlU2N8/A8elctXWND6BkbRHyYH1bLWUc89tFp485o2qiIiDSOqCAfpg/vwPThHcgqruTbn7L4dkcWy/fmcTC/grdW7OetFfuxWy2clRDKiM4RDOkYRr/2IS2iM77LZbDxYAFfbMngw/WHKKmsBSAiwMFNIzpw4/AOLf5DCJHTdaKeGie7dF3vdsG8eO0Abvn3ej7emIZhGDx9RT/sGqFvMvqpJCLNrsbpYuJv/h8ZXu2oDO2IYfN27/MqzcIvdztpa75m0qufmBdSREQaONk3/NFBPlw3JJHrhiRSXl3LD3tyWbormx+TczmYX8Ga/fms2Z8P1DUx7RUXxMDEMPonhNAzNpCkiIBmGc2rrHGy6WAh32zP5OutmWQWV7r3dYz059ZzOjJlQDt8vJruw4YT9XbRDDNpDifqqXEqS9eN7R7NnGsHMHPeRj7ZlI7TgGevVEHfVFTMi0izcLkM1uzP57PN6Xy1NYPC2J9HzYN87HSNDqRbTCARAV2AkTy69L/mhRURkSOczht+P287E3vFMLFX3frTqXnl/JCcw4rkPNYdyCeruIrNh4rYfKgIltc9xsfLSreYILpHB5IY4UeHcH8SwvxICPcj0GE/5WnuhmFQWF7DwYJyUnLLDl8CUMD29GJqXYb7uACHnfE9ori4fxyju0ZhbYYPFE7U20UzzMQTnd87ljnXWZjx3gY+35yOyzD451X9VdA3ARXzItJkap0u1qTks3BHFgu2NRz1sFaX0adjHN1iAokJ8tE1iCIibUBCuB/XhdeN2huGQVphBesPFLD+QAHb0or4KaOEihonmw8Wsvlg4RGP9/GyEu7vIDzAm3B/b/y87XjZLHjZrHjZrbhcBuXVTsqraymrclJQXs2hggpKq2qPmicy0MHIzhFc0CeWc7pENOoovFZUkbZsYq8YXr5+IL97bz1fbsmg1uniuasGtIjLaloTFfMi0qgqa5ws253DN9uzWLwzi8LynzvRB/rYmdQ7hov7teOPt13H6EkvmJhURETMZLFYaB/qR/tQPy7p3w6AKVdcTXqZi1rfCGr8wql1BFPrE4LTEYzLy4/KGhdphRWkFVac8vNFBjpICPOjT7tgBiSEcFZCKO1DfZvsw2StqCJt3Xk9o3nl+oHc/u4GvtmexVWvreS1aYOICT76ksJy6lTMi8gZKyqvYfHOLL7Znsmy3blU1Djd+8L8vRnfI4oJPWM4p2sEDnvdJ7IWjGOdTkRE2qicvHyuOUYBXF3roqLGyZf/eoLZf3+avLIqKmtc1DhdVDtd1NQaWCzwwX/eo6ykCIuzBquzCltVMfaqYiyGk0wgE9gcHsolJ9HQS0TOzLge0bxz82D+7931bDlUxCVzfuT1G86mT/tgs6O1CirmReSUuVwG29OLWborm+9357AhtYBfXHZIuxBfJvSKZmKvGAYlhuoaKREROWPedmvdrSyL8T2jj3ncB39dwfQTjIifSkMvETkzQzqG8+mMkdz89lr2ZJdyxasr+McV/ZncN9bsaB5PxbyInJT8smp+2JPD97ty+GxtMrV23wb77eW5+BbsxadgLynbVrGwYycWHud8uk5QRKR1OVG3e4CUfXtJ6tjp2OfQ7waRVikh3I+PfjecO/6zkaW7cpgxbwOr9iXypwt66Dr6M6BiXkSOqry6lvUHCli1L48fk/PYcqgQo3703e6Ll81CQpgfiWH+JIb7EeTbBRgGnHj99/pjRESk9ThRt3s48e8H/W4Qab0Cfbx4Y/rZ/H3BTl5bto93Vh1geXIuz17Vn37xIWbH80gq5kUEaFi8r9qXz+aDhQ2W7AHoHhPIud0i+d8rT3L17+5rlnWARURERKR1sFkt/OmCHpzTJYL/N38z+3LLmPryCu4c14Xfje6kSzNPkYp5kTYqu6SSTamFbDxYyJqUoxfvccE+DO0UztCO4YzqEunuPvrFU2kq5EVExBQnms6vqfoiLd85XSL55vejeOCTbXyxJYNnFu3m883pPHRRT87pEml2PI+hYl6kDaiscbItrYhNB+uK902phUdd1ueXxfuwjuFNumSPiIjI6TjRdP7mmqp/onXk9aGCyPGF+HnzwjUDGN8jmse+2MGe7FKmvbGG8T2i+PPkniRF+JsdscVTMS/SyhRX1rAzo4SdmcX8lFHMtrS6P3896m6xQJeoAPrHhzAoMYxhnVS8i4hI23Ci0f2o8FA+PsHSdSdaR17X/0trcTLNLU/m/8zRWCwWpgxox5juUTy/eA9vr9jPtz/VrZZ07eAEbhnVkfahfqcbvdVTMS/ioWqcLlLzy9mVWcJPGcX8lFH359FG3AEiAhz0jw9h+49fU5OdgldZNmWuapYDy4F/Hj7uRJ2GQaMNIiLi2U40uq+l60R+djLNLc/0/0ywrxcPXtiTawYn8Jcvd7B0Vw5vrzzAe6tTubh/HLef24ku0YFn9BytkYp5kRbMMAyyiqvYl1tKSm4ZKTll7MstIyW3jNT8cpy/Gm2vFxfsQ4/YILrHBtIzNph+8cG0C6kbdR/x9p+47gQjCepELyIiIiLNrXNUAG/dNJjlybm8tDSZ5cl5fLQhjY82pDG+RxRXnZ3A6G6ReKlRHqBiXsRULpdBbmkVhworSCuoIO1Xfx4sKKe82nnMx/t4WekaHUiPmLrCvUdsEN1jAgnx827GVyEiIiIi0nhGdI5gROcINh0s5KUlySzckcW3P2Xz7U/ZRAQ4mHpWO64Y1J7OUW17tF7FvEgTMAyD4opaskoqyS6uIrukkuySKrKLq8gqqSTn8J8ZhZVUO13HPZfNaiE+1JekCH+SIgLoGOlPxwh/kiL9iQ70wfqLrvInasYDmiIvIiIiIp6hf3wIr90wiOTsUj5Ym8pHG9LILa3i1WX7eHXZPjpHBXBez2jO6xlN//YhDd4XtwUq5kVOwiVXXktmcSUuu+/hmw8uL1/3fS//IHr0HUhBeTX5ZdUUlFdT4zz6FPhfs1ogOsiHdiG+tAv1bfBn+1A/EsL88Laf3FSiEzXjAU2RFxEROZGTafilD8dFmk/nqAD+PLknfzy/O9/tzOa/aw/y/e4ckrNLSc4u5eWle4kIcDCiczhDksIZ0jGMjhH+rb6xs4p5aROqap0UV9RSXFlDcUUNxZW1h/+sYc7rb1Nc5cKwOXDZHbgO/2nYfv6ajted8DlW7ss7YluQj52oIB+iAh38tGkNNaUF2KrLsdaUYaspw1ZVgq2mFIvhYsXhxnPrjvMcJ2pOpzcWIiIiZ+5kGn7pw3GRn53oA7CTabB8Mh3xvWxWJvaKYWKvGIoqali6K5tFO7L4flcOuaVVfLopnU83pQN1zZ/PSgihV1wwvdsF0SsumOggR6sq8FtNMT9nzhyeeuopMjMz6devHy+88AKDBw82O5acBsMwqHa6qKx2UV5TS1lVLaVVTsqq6r4uq/7V/cNfl1bXNtx2+H5JZS1VtceZyh4+8KRyWS3g62XDx9uGr1fdzefwn7u+/4jH7v09oX7ehPn/fPPxsrkfP2LsQydcwuZk3jhoGRwRERERaUlO9AHYybzPPdWO+MG+XlzSvx2X9G9Hda2LdfvzWZWSz+p9eWw8WEhuaRULd2SxcEeW+zERAd68Pv1s+seHnNJztVStopj/4IMPmDVrFq+88gpDhgzhueeeY+LEiezatYuoqCiz43kMwzBwugychkGN06Cm1kWN00XV4T9rnMav7tfdqmtdVP/i+OrD26pqXVTWOKmscVJR46SyxkVFjZOqX96vdlJZ66Tq8L76Y42Tm6F+ygJ97AT5eBHk60WQj50gXy+Wf7+ErmcNx2G31t28bD9/ba/7+tkZU3jojS+O+Uned499wJNZm4/73Bo1FxERERFpfN52K8M7RzC8cwQAlTVOthwqYmtaEdvTitiWXkRydim5pdXEBfuYnLbxtIpi/plnnuGWW27hpptuAuCVV17hyy+/5M033+S+++4zOV3jefTz7Xz8zfdUVteAxYphsYLFUvcnP39t9/KiQ4cknC4XtS4Dl8ug1nW4UD98O2L74UK+xXE5cXh74W234mWz4m2z4mW34H3469TNPzLtyssIcNjwd9jrbt52/B02Ag7f/8OsuynIzcLirMFC3WssPnwDyN69h1uuvuT4OWoqjzslR9PxRERERERaBh8vG4OTwhicFObeVlHtZHdWCVFBKuZbjOrqatavX8/999/v3ma1Whk/fjwrV6486mOqqqqoqqpy3y8qKgKguLj4qMe3FIu37CffKxK8jn9cFbB9f2ajPKeFum7qFqsFm6Xua5vFQmHWIby97VhcTjBcYDixuJxYDBcYLiwuJ2UlhQT6+WBx1WJxubAYNYe/rsXicpKTkUZ0ZDgWV03dY121WIxa+MUxyXv2cM9LHx8z31NPvMTHe7897mvYk7z3uOfYdutFVJaVHvcchst13GNOtF/n0Dlayzk8KavOoXPoHDqHzqFzNMU5PCmrJ53jpx07GDJq7DH3R4aFMO/fbx33HNfecCM5+YVndI6WoL4uNU4wXdlinOiIFi49PZ127dqxYsUKhg0b5t7+xz/+ke+//57Vq1cf8ZhHHnmERx99tDljioiIiIiIiJy0gwcP0r59+2Pu9/iR+dNx//33M2vWLPd9l8tFfn4+4eHhjd7dsLi4mPj4eA4ePEhQUFCjnlukpdH3u7Ql+n6XtkTf79KW6PtdzGYYBiUlJcTFxR33OI8v5iMiIrDZbGRlZTXYnpWVRUxMzFEf43A4cDgcDbaFhIQ0VUQAgoKC9MNA2gx9v0tbou93aUv0/S5tib7fxUzBwcEnPMbaDDmalLe3NwMHDmTx4sXubS6Xi8WLFzeYdi8iIiIiIiLSWnj8yDzArFmzmD59OoMGDWLw4ME899xzlJWVubvbi4iIiIiIiLQmraKYv+qqq8jJyeGhhx4iMzOT/v37s2DBAqKjo82OhsPh4OGHHz5iWr9Ia6Tvd2lL9P0ubYm+36Ut0fe7eAqP72YvIiIiIiIi0tZ4/DXzIiIiIiIiIm2NinkRERERERERD6NiXkRERERERMTDqJgXERERERER8TAq5pvRxRdfTEJCAj4+PsTGxjJt2jTS09PNjiXS6Pbv38/NN99MUlISvr6+dOrUiYcffpjq6mqzo4k0ib/+9a8MHz4cPz8/QkJCzI4j0qjmzJlDhw4d8PHxYciQIaxZs8bsSCJNYtmyZVx00UXExcVhsVj45JNPzI4kclwq5pvRmDFj+O9//8uuXbv43//+x969e7n88svNjiXS6Hbu3InL5eLVV19l+/btPPvss7zyyiv86U9/MjuaSJOorq7miiuu4Pbbbzc7ikij+uCDD5g1axYPP/wwGzZsoF+/fkycOJHs7Gyzo4k0urKyMvr168ecOXPMjiJyUrQ0nYk+++wzpkyZQlVVFV5eXmbHEWlSTz31FC+//DL79u0zO4pIk3nrrbf4/e9/T2FhodlRRBrFkCFDOPvss3nxxRcBcLlcxMfHc8cdd3DfffeZnE6k6VgsFj7++GOmTJlidhSRY9LIvEny8/N57733GD58uAp5aROKiooICwszO4aIiJyk6upq1q9fz/jx493brFYr48ePZ+XKlSYmExERUDHf7O699178/f0JDw8nNTWVTz/91OxIIk0uOTmZF154gdtuu83sKCIicpJyc3NxOp1ER0c32B4dHU1mZqZJqUREpJ6K+TN03333YbFYjnvbuXOn+/h77rmHjRs3snDhQmw2GzfccAO60kE8xal+vwOkpaVx/vnnc8UVV3DLLbeYlFzk1J3O97uIiIhIc7GbHcDT/eEPf+DGG2887jEdO3Z0fx0REUFERARdu3alR48exMfHs2rVKoYNG9bESUXO3Kl+v6enpzNmzBiGDx/Oa6+91sTpRBrXqX6/i7Q2ERER2Gw2srKyGmzPysoiJibGpFQiIlJPxfwZioyMJDIy8rQe63K5AKiqqmrMSCJN5lS+39PS0hgzZgwDBw5k7ty5WK2aCCSe5Ux+vou0Bt7e3gwcOJDFixe7m4C5XC4WL17MzJkzzQ0nIiIq5pvL6tWrWbt2LSNHjiQ0NJS9e/fy4IMP0qlTJ43KS6uTlpbG6NGjSUxM5OmnnyYnJ8e9T6M50hqlpqaSn59PamoqTqeTTZs2AdC5c2cCAgLMDSdyBmbNmsX06dMZNGgQgwcP5rnnnqOsrIybbrrJ7Ggija60tJTk5GT3/ZSUFDZt2kRYWBgJCQkmJhM5Oi1N10y2bt3KXXfdxebNmykrKyM2Npbzzz+fBx54gHbt2pkdT6RRvfXWW8d8o6cfOdIa3Xjjjbz99ttHbF+yZAmjR49u/kAijejFF1/kqaeeIjMzk/79+/P8888zZMgQs2OJNLqlS5cyZsyYI7ZPnz6dt956q/kDiZyAinkRERERERERD6OLWEVEREREREQ8jIp5EREREREREQ+jYl5ERERERETEw6iYFxEREREREfEwKuZFREREREREPIyKeREREREREREPo2JeRERERERExMOomBcRERERERHxMCrmRURERERERDyMinkRERERERERD6NiXkRERERERMTDqJgXERGR05aTk0NMTAx/+9vf3NtWrFiBt7c3ixcvNjGZiIhI62YxDMMwO4SIiIh4rq+++oopU6awYsUKunXrRv/+/bnkkkt45plnzI4mIiLSaqmYFxERkTM2Y8YMvv32WwYNGsTWrVtZu3YtDofD7FgiIiKtlop5EREROWMVFRX07t2bgwcPsn79evr06WN2JBERkVZN18yLiIjIGdu7dy/p6em4XC72799vdhwREZFWTyPzIiIickaqq6sZPHgw/fv3p1u3bjz33HNs3bqVqKgos6OJiIi0WirmRURE5Izcc889fPjhh2zevJmAgADOPfdcgoOD+eKLL8yOJiIi0mppmr2IiIictqVLl/Lcc8/xzjvvEBQUhNVq5Z133uGHH37g5ZdfNjueiIhIq6WReREREREREREPo5F5EREREREREQ+jYl5ERERERETEw6iYFxEREREREfEwKuZFREREREREPIyKeREREREREREPo2JeRERERERExMOomBcRERERERHxMCrmRURERERERDyMinkRERERERERD6NiXkRERERERMTDqJgXERERERER8TD/H4r3dRXbITXCAAAAAElFTkSuQmCC",
"text/plain": [
"<Figure size 1000x400 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"name": "stderr",
"output_type": "stream",
"text": [
"Training: 100%|██████████| 10000/10000 [00:12<00:00, 770.18iteration/s, Loss=1.3557]\n"
]
},
{
"data": {
"image/png": "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",
"text/plain": [
"<Figure size 1000x400 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"image/png": "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",
"text/plain": [
"<Figure size 1200x400 with 3 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
},
{
"data": {
"image/png": "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",
"text/plain": [
"<Figure size 1000x600 with 1 Axes>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"\"\"\"\n",
"Minimal PyTorch implementation of Flow Matching with Optimal Transport (OT) for generative modeling of a 1D bimodal Gaussian distribution, based on \"Flow Matching for Generative Modeling\" by Lipman et al. (2023).\n",
"\n",
"This code provides a simplified example using a 1D bimodal Gaussian dataset and Euler method for sampling. It includes a visualization of the flow paths.\n",
"\"\"\"\n",
"\n",
"import matplotlib.pyplot as plt\n",
"import numpy as np\n",
"import seaborn as sns\n",
"import torch\n",
"import torch.nn as nn\n",
"import torch.optim as optim\n",
"from tqdm import tqdm\n",
"from typing import Tuple\n",
"\n",
"# Device configuration\n",
"device: torch.device = torch.device(\"cuda\" if torch.cuda.is_available() else \"cpu\")\n",
"\n",
"# Hyperparameters\n",
"data_size: int = 10_000\n",
"batch_size: int = 256\n",
"input_dim: int = 1 # 1D data\n",
"hidden_dim: int = 64\n",
"n_iterations: int = 10_000\n",
"sigma_min: float = 1e-5 # For OT path (Eq. 22). Controls variance at t=1\n",
"lr: float = 1e-3\n",
"dt: float = 0.01 # Step size for Euler integration (sampling and flow visualization). Smaller dt => smoother curves and longer computation time.\n",
"n_flow_steps = int(1 / dt)\n",
"\n",
"# Data #######################################################################\n",
"# Generate 1D bimodal Gaussian data (replace with your data loading if needed).\n",
"nb_samples = data_size\n",
"mode_prob = np.array([0.5, 0.5]) # Mixture weights\n",
"mode_mus = np.array([-10.0, 10.0]) # Means of the two Gaussian modes\n",
"mode_sigmas = np.array([6.0, 2.0]) # Standard deviations of the modes\n",
"mode_idx = np.random.choice(2, nb_samples, p=mode_prob)\n",
"data_x_1_arr = np.random.normal(loc=mode_mus[mode_idx], scale=mode_sigmas[mode_idx])\n",
"# Normalize data (important for training stability)\n",
"data_x_1_arr = (data_x_1_arr - data_x_1_arr.mean()) / data_x_1_arr.std()\n",
"data_x_1 = (\n",
" torch.tensor(data_x_1_arr, dtype=torch.float32).unsqueeze(-1).to(device)\n",
") # Add dimension for consistency with model. Unsqueeze last dimension to get shape [data_size, 1].\n",
"\n",
"data_loader = torch.utils.data.DataLoader(data_x_1, batch_size=batch_size, shuffle=True)\n",
"\n",
"# Plot data distribution. This is the TARGET distribution (π₁)\n",
"fig, ax = plt.subplots(1, 1, figsize=(10, 4), constrained_layout=True)\n",
"sns.histplot(data_x_1_arr, bins=100, kde=True, ax=ax)\n",
"ax.set_title(\"Target Data Distribution (π₁)\")\n",
"ax.set_xlabel(\"x\")\n",
"plt.show()\n",
"\n",
"\n",
"# Model and Training ##########################################################\n",
"class VectorFieldNetwork(nn.Module):\n",
" \"\"\"\n",
" Parametric model for the time-dependent vector field v_t(x; θ) (Section 3 in Lipman et al.).\n",
"\n",
" This network represents the function v_t(x; θ), which is the Continuous Normalizing Flow (CNF) vector field.\n",
" It is used in the Flow Matching objective (Eq. 5 in Lipman et al.).\n",
" The network outputs the *value* of the vector field at a given time t and point x.\n",
" \"\"\"\n",
"\n",
" def __init__(self, input_dim: int, hidden_dim: int):\n",
" super().__init__()\n",
" # MLP architecture (no specific architecture defined in the paper)\n",
" self.net: nn.Sequential = nn.Sequential(\n",
" nn.Linear(input_dim + 1, hidden_dim), # +1 for time embedding\n",
" nn.ReLU(),\n",
" nn.Linear(hidden_dim, hidden_dim),\n",
" nn.ReLU(),\n",
" nn.Linear(hidden_dim, input_dim),\n",
" )\n",
"\n",
" def time_embedding(self, t: torch.Tensor) -> torch.Tensor:\n",
" \"\"\"\n",
" Embeds time into a higher dimensional space.\n",
" \"\"\"\n",
" return t.unsqueeze(-1) # Simple embedding, no frequencies used\n",
"\n",
" def forward(self, t: torch.Tensor, x: torch.Tensor) -> torch.Tensor:\n",
" \"\"\"\n",
" Computes the vector field v_t(x) at time t and point x.\n",
" \"\"\"\n",
" t_emb: torch.Tensor = self.time_embedding(t)\n",
" tx: torch.Tensor = torch.cat([t_emb, x], dim=-1)\n",
" return self.net(tx) # Output is v_t(x; θ) (Eq. 5 in Lipman et al.)\n",
"\n",
"\n",
"def ot_path(\n",
" x_0: torch.Tensor,\n",
" x_1: torch.Tensor,\n",
" t: torch.Tensor,\n",
" sigma_min: float,\n",
") -> Tuple[torch.Tensor, torch.Tensor]:\n",
" \"\"\"\n",
" Computes the Optimal Transport (OT) path (ψ_t) and target vector field (u_t).\n",
"\n",
" This function implements the conditional flow ψ_t (Eq. 22 in Lipman et al.) and the corresponding target vector field u_t (Eq. 23 in Lipman et al.) for the Optimal Transport (OT) formulation in Flow Matching. ψ_t defines a straight-line interpolation path between a sample x_0 from the prior distribution and a target data point x_1. The target vector field u_t represents the ideal vector field that the learned vector field v_t should approximate.\n",
"\n",
" Args:\n",
" x_0: Samples from the prior distribution (typically a standard Gaussian).\n",
" x_1: Target data points.\n",
" t: Time points along the OT path (between 0 and 1).\n",
" sigma_min: Small constant controlling the variance at t=1 (see Eq. 22).\n",
"\n",
" Returns:\n",
" A tuple containing the OT path (ψ_t) and the target vector field (u_t).\n",
" \"\"\"\n",
" t = t.unsqueeze(-1)\n",
" # ψ_t (Eq. 22 in Lipman et al.) Linear interpolation between prior and target.\n",
" psi_t: torch.Tensor = (1 - (1 - sigma_min) * t) * x_0 + (t * x_1)\n",
" # Target vector field for OT (u_t) (Eq. 23 in Lipman et al.)\n",
" target_v: torch.Tensor = x_1 - (1 - sigma_min) * x_0\n",
" return psi_t, target_v\n",
"\n",
"\n",
"def compute_cfm_loss(\n",
" v_net: VectorFieldNetwork,\n",
" x_0: torch.Tensor,\n",
" x_1: torch.Tensor,\n",
" t: torch.Tensor,\n",
" sigma_min: float,\n",
") -> torch.Tensor:\n",
" \"\"\"\n",
" Computes the Conditional Flow Matching (CFM) loss for Optimal Transport.\n",
"\n",
" This function computes the CFM loss (Eq. 23 in Lipman et al.) using the Optimal Transport (OT) formulation. It compares the predicted vector field v_t(ψ_t(x_0, x_1, t)) (output of the v_net) with the target vector field u_t derived from the OT path. The loss is calculated as the mean squared error (MSE) between the predicted and target vector fields. Minimizing this loss encourages the learned vector field to accurately represent the OT flow.\n",
"\n",
" Args:\n",
" v_net: The vector field network v_t(x; θ).\n",
" x_0: Samples from the prior distribution.\n",
" x_1: Target data points.\n",
" t: Time points along the OT path.\n",
" sigma_min: Small constant controlling the variance at t=1.\n",
"\n",
" Returns:\n",
" The CFM loss as a scalar tensor.\n",
" \"\"\"\n",
" psi_t, target_v = ot_path(x_0, x_1, t, sigma_min)\n",
" v: torch.Tensor = v_net(t, psi_t) # v_t(ψ_t(x_0, x_1, t))\n",
" # CFM loss (Eq. 23 in Lipman et al.), simplified as MSE loss\n",
" loss: torch.Tensor = ((v - target_v) ** 2).mean()\n",
" return loss\n",
"\n",
"\n",
"# Initialize the vector field network v_t and optimizer\n",
"v_net = VectorFieldNetwork(input_dim, hidden_dim).to(device)\n",
"optimizer = optim.Adam(v_net.parameters(), lr=lr)\n",
"\n",
"# Training loop\n",
"progress_bar = tqdm(range(n_iterations), desc=\"Training\", unit=\"iteration\")\n",
"losses = []\n",
"for iteration in progress_bar:\n",
" x_1 = next(iter(data_loader))\n",
" t = torch.rand(x_1.shape[0], device=device)\n",
" x_0 = torch.randn_like(x_1)\n",
"\n",
" loss = compute_cfm_loss(v_net, x_0, x_1, t, sigma_min)\n",
"\n",
" optimizer.zero_grad()\n",
" loss.backward()\n",
" optimizer.step()\n",
"\n",
" losses.append(loss.item())\n",
" progress_bar.set_postfix({\"Loss\": f\"{loss.item():.4f}\"})\n",
"\n",
"# Plot loss curve after training\n",
"fig, ax = plt.subplots(figsize=(10, 4))\n",
"ax.plot(losses)\n",
"ax.set_xlabel(\"Iteration\")\n",
"ax.set_ylabel(\"Loss\")\n",
"ax.set_title(\"Training Loss Curve\")\n",
"ax.grid(True)\n",
"plt.show()\n",
"\n",
"\n",
"# Sampling and Visualization ##################################################\n",
"def sample(\n",
" n_samples: int, vector_field: VectorFieldNetwork, dt: float = dt\n",
") -> torch.Tensor:\n",
" \"\"\"\n",
" Generates samples by integrating the learned vector field.\n",
"\n",
" This function generates samples by numerically integrating the learned vector field `v_t(x)` from t=0 to t=1. It uses the Euler method (a simple first-order numerical integration method) to approximate the solution to the ODE defined by the vector field (Eq. 1 in Lipman et al. with a simplified discretization). The integration starts from random samples drawn from the prior distribution (typically a standard Gaussian).\n",
"\n",
" Args:\n",
" n_samples: The number of samples to generate.\n",
" vector_field: The learned vector field network v_t(x; θ).\n",
" dt: The integration step size.\n",
"\n",
" Returns:\n",
" A tensor of generated samples.\n",
" \"\"\"\n",
" x = torch.randn(n_samples, input_dim).to(device) # Sample x_0 ~ N(0, I)\n",
" for t in torch.arange(0, 1, dt): # Euler integration from t=0 to t=1\n",
" t_batch = t.expand(n_samples).to(device)\n",
" # Euler update (Eq. 28 in Lipman et al. with simplified discretization)\n",
" x = x + vector_field(t_batch, x) * dt\n",
" return x\n",
"\n",
"\n",
"def plot_flow_process(\n",
" data_x_1: torch.Tensor,\n",
" v_net: VectorFieldNetwork,\n",
" n_samples: int = 10_000,\n",
" n_example_paths: int = 3,\n",
"):\n",
" \"\"\"\n",
" Plot the flow process using the trained vector field network.\n",
"\n",
" This function visualizes the transformation of samples from the initial noise distribution\n",
" to the target distribution, using the learned vector field.\n",
"\n",
" Args:\n",
" data_x_1 (torch.Tensor): The target data distribution.\n",
" v_net (VectorFieldNetwork): The trained vector field network.\n",
" n_samples (int): Number of samples to use for visualization.\n",
" n_example_paths (int): Number of example paths to plot.\n",
"\n",
" Returns:\n",
" tuple: A tuple containing the figure and axes objects.\n",
" \"\"\"\n",
" # Generate initial noise samples\n",
" x_0 = torch.randn(n_samples, input_dim).to(device) # Initial noise distribution\n",
"\n",
" # Initialize tensor to store the flow process\n",
" paths = torch.zeros((n_flow_steps + 1, n_samples, input_dim), device=device)\n",
" paths[0] = x_0\n",
"\n",
" # Set up histogram parameters\n",
" img_hist_size = 100\n",
" flow_process_img = np.zeros((n_flow_steps + 1, img_hist_size))\n",
" x_min, x_max = data_x_1.cpu().min().item(), data_x_1.cpu().max().item()\n",
" histogram_edges = np.linspace(x_min, x_max, img_hist_size + 1)\n",
"\n",
" # Add the histogram of the initial distribution\n",
" flow_process_img[0] = np.histogram(x_0.cpu().numpy(), bins=histogram_edges)[0]\n",
"\n",
" # Generate the flow process\n",
" with torch.no_grad():\n",
" for i in range(n_flow_steps):\n",
" t = torch.full((n_samples,), i * dt, device=device)\n",
" # Update samples using the vector field (Euler integration step)\n",
" paths[i + 1] = paths[i] + v_net(t, paths[i]) * dt\n",
" # Compute histogram for current step\n",
" flow_process_img[i + 1] = np.histogram(\n",
" paths[i + 1].cpu().numpy(), bins=histogram_edges\n",
" )[0]\n",
"\n",
" paths = paths.cpu().numpy().squeeze()\n",
"\n",
" # Set up the plot\n",
" fig, (ax1, ax2, ax3) = plt.subplots(\n",
" 1, 3, figsize=(12, 4), gridspec_kw={\"width_ratios\": [1, 5, 1]}, sharey=True\n",
" )\n",
" fig.subplots_adjust(wspace=0)\n",
"\n",
" # Plot the flow process\n",
" ax2.set_title(\"Flow Process\")\n",
" ax2.imshow(\n",
" flow_process_img.T,\n",
" extent=[0, n_flow_steps, x_max, x_min],\n",
" aspect=\"auto\",\n",
" cmap=\"viridis\",\n",
" )\n",
" ax2.set_ylim(x_max, x_min)\n",
" ax2.set_xlabel(\"$t$: flow step\")\n",
"\n",
" # Plot example paths, each in a different color\n",
" tab_colors = [\n",
" \"red\",\n",
" \"orange\",\n",
" \"brown\",\n",
" \"pink\",\n",
" \"gray\",\n",
" \"cyan\",\n",
" \"magenta\",\n",
" ] # Avoid blue, green, and yellow\n",
" for i in range(n_example_paths):\n",
" ax2.plot(\n",
" np.arange(0, n_flow_steps + 1),\n",
" paths[:, i],\n",
" marker=\".\",\n",
" linestyle=\"-\",\n",
" color=tab_colors[i % len(tab_colors)],\n",
" label=f\"Sample Path {i+1}\",\n",
" markersize=1,\n",
" alpha=0.5,\n",
" )\n",
" ax2.legend()\n",
"\n",
" # Plot initial distribution x0\n",
" ax1.set_title(\"$x_0$\")\n",
" sns.histplot(\n",
" y=x_0.cpu().numpy().flatten(),\n",
" bins=img_hist_size,\n",
" kde=True,\n",
" color=\"tab:blue\",\n",
" ax=ax1,\n",
" )\n",
" ax1.invert_xaxis()\n",
" ax1.set_ylabel(\"x\")\n",
" ax1.set_xlabel(\"\")\n",
"\n",
" # Plot final distribution x1\n",
" ax3.set_title(\"$x_1$\")\n",
" sns.histplot(y=paths[-1], bins=img_hist_size, color=\"tab:blue\", kde=True, ax=ax3)\n",
" ax3.set_xlabel(\"\")\n",
" x1_mean = paths[-1].mean()\n",
" x1_std = paths[-1].std()\n",
" ax3.legend(\n",
" handles=[\n",
" plt.Line2D([], [], label=f\"$\\hat{{\\mu}}$: {x1_mean:.4f}\"),\n",
" plt.Line2D([], [], label=f\"$\\hat{{\\sigma}}^2$: {x1_std:.4f}\"),\n",
" ],\n",
" handlelength=0,\n",
" handletextpad=0,\n",
" alignment=\"right\",\n",
" )\n",
"\n",
" plt.tight_layout()\n",
" plt.show()\n",
" return fig, (ax1, ax2, ax3)\n",
"\n",
"\n",
"# Sample and plot generated data, and plot flow process\n",
"with torch.no_grad():\n",
" generated_samples = sample(data_size, v_net)\n",
"generated_samples = generated_samples.cpu().numpy()\n",
"\n",
"plot_flow_process(data_x_1, v_net)\n",
"\n",
"# Visualization of real vs generated data\n",
"fig, ax = plt.subplots(figsize=(10, 6))\n",
"sns.histplot(data=data_x_1_arr, bins=100, kde=True, label=\"Real Data\", ax=ax)\n",
"sns.histplot(\n",
" data=generated_samples.flatten(), bins=100, kde=True, label=\"Generated Data\", ax=ax\n",
")\n",
"ax.set_title(\"Flow Matching with Optimal Transport - Generated Samples\")\n",
"ax.legend()\n",
"plt.show()"
]
}
],
"metadata": {
"kernelspec": {
"display_name": "pytorch",
"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": "3.11.10"
}
},
"nbformat": 4,
"nbformat_minor": 2
}
Display the source blob
Display the rendered blob
Raw
Loading
Sorry, something went wrong. Reload?
Sorry, we cannot display this file.
Sorry, this file is invalid so it cannot be displayed.
Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment