{ "cells": [ { "attachments": {}, "cell_type": "markdown", "metadata": {}, "source": [ "# VitalDB model check\n", "\n", "This exemple compare the data from the open source vitalDB database and the model included in PAS." ] }, { "cell_type": "code", "execution_count": 10, "metadata": {}, "outputs": [], "source": [ "import matplotlib.pyplot as plt\n", "import numpy as np\n", "import python_anesthesia_simulator as pas\n", "import vitaldb as vdb\n", "import pandas as pd" ] }, { "attachments": {}, "cell_type": "markdown", "metadata": {}, "source": [ "## Import data from vitalDB\n", "\n", "All the documentation about the vitaldb package is available [here](https://vitaldb.net/docs/?documentId=1j702xfDef7RNhfZANQQt7tkzzbin2FVe9GAnleDSyzI)." ] }, { "cell_type": "code", "execution_count": 11, "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "/tmp/ipykernel_62354/3413879139.py:10: FutureWarning: A value is trying to be set on a copy of a DataFrame or Series through chained assignment using an inplace method.\n", "The behavior will change in pandas 3.0. This inplace method will never work because the intermediate object on which we are setting values always behaves as a copy.\n", "\n", "For example, when doing 'df[col].method(value, inplace=True)', try using 'df.method({col: value}, inplace=True)' or df[col] = df[col].method(value) instead, to perform the operation inplace on the original object.\n", "\n", "\n", " case_df['Orchestra/PPF20_RATE'].fillna(method='bfill', inplace=True)\n", "/tmp/ipykernel_62354/3413879139.py:10: FutureWarning: Series.fillna with 'method' is deprecated and will raise in a future version. Use obj.ffill() or obj.bfill() instead.\n", " case_df['Orchestra/PPF20_RATE'].fillna(method='bfill', inplace=True)\n", "/tmp/ipykernel_62354/3413879139.py:11: FutureWarning: A value is trying to be set on a copy of a DataFrame or Series through chained assignment using an inplace method.\n", "The behavior will change in pandas 3.0. This inplace method will never work because the intermediate object on which we are setting values always behaves as a copy.\n", "\n", "For example, when doing 'df[col].method(value, inplace=True)', try using 'df.method({col: value}, inplace=True)' or df[col] = df[col].method(value) instead, to perform the operation inplace on the original object.\n", "\n", "\n", " case_df['Orchestra/RFTN20_RATE'].fillna(method='bfill', inplace=True)\n", "/tmp/ipykernel_62354/3413879139.py:11: FutureWarning: Series.fillna with 'method' is deprecated and will raise in a future version. Use obj.ffill() or obj.bfill() instead.\n", " case_df['Orchestra/RFTN20_RATE'].fillna(method='bfill', inplace=True)\n" ] } ], "source": [ "case_id = 47 # case id 47\n", "ts = 1 # sampling time in seconds\n", "track_name = ['BIS/BIS', 'Orchestra/PPF20_RATE', 'Orchestra/RFTN20_RATE',\n", " 'Orchestra/PPF20_CE', 'Orchestra/RFTN20_CE', 'Solar8000/ART_MBP',\n", " 'BIS/SQI', 'Solar8000/PLETH_HR', 'Orchestra/PPF20_CP',\n", " 'Orchestra/RFTN20_CP'] # track names to import\n", "case = vdb.VitalFile(case_id, track_name) # load case\n", "case_df = case.to_pandas(track_name, ts) # convert to pandas dataframe\n", "# fill missing values\n", "case_df['Orchestra/PPF20_RATE'].fillna(method='bfill', inplace=True)\n", "case_df['Orchestra/RFTN20_RATE'].fillna(method='bfill', inplace=True)" ] }, { "attachments": {}, "cell_type": "markdown", "metadata": {}, "source": [ "## Replay input data in the simulator\n", "\n", "An instance of the Simulator is created for the patient with the specific information.\n", "Then we run the simulation using the drug rates as input (in the relevant units)." ] }, { "cell_type": "code", "execution_count": 12, "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "/home/aubouinb/Nextcloud2/Code/Python_Anesthesia_Simulator/.venv/lib/python3.12/site-packages/python_anesthesia_simulator/simulator.py:584: FutureWarning: The behavior of DataFrame concatenation with empty or all-NA entries is deprecated. In a future version, this will no longer exclude empty or all-NA columns when determining the result dtypes. To retain the old behavior, exclude the relevant entries before the concat operation.\n", " self.dataframe = pd.concat((self.dataframe, pd.DataFrame(new_line, index=[1])), ignore_index=True)\n" ] } ], "source": [ "perso_data = pd.read_csv(\"https://api.vitaldb.net/cases\", decimal='.') # load personal data of the case\n", "age = float(perso_data[perso_data['caseid'] == case_id]['age'].iloc[0])\n", "height = float(perso_data[perso_data['caseid'] == case_id]['height'].iloc[0])\n", "weight = float(perso_data[perso_data['caseid'] == case_id]['weight'].iloc[0])\n", "gender = int(perso_data[perso_data['caseid'] == case_id]['sex'].iloc[0] == 'M') # F = 0, M = 1\n", "\n", "Patient_simu = pas.Patient([age, height, weight, gender], ts=ts,\n", " model_propo=\"Marsh_modified\", model_remi=\"Minto\") # create patient instance\n", "\n", "case_length = case_df.shape[0] # length of the case\n", "df_results = Patient_simu.full_sim(u_propo = case_df['Orchestra/PPF20_RATE']*20/3600,\n", " u_remi = case_df['Orchestra/RFTN20_RATE']*20/3600) # run simulation\n" ] }, { "attachments": {}, "cell_type": "markdown", "metadata": {}, "source": [ "## Plot the results" ] }, { "cell_type": "code", "execution_count": 13, "metadata": {}, "outputs": [ { "data": { "image/png": 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", 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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "# plot the inputs\n", "plt.figure()\n", "plt.plot(df_results['Time']/60, case_df['Orchestra/PPF20_RATE']*20/3600,\n", " 'b', label='Propofol rate (mg/s)')\n", "plt.plot(df_results['Time']/60, case_df['Orchestra/RFTN20_RATE']*20/3600,\n", " 'r', label='Orchestra/RFTN20_RATE (µg/s)')\n", "plt.xlabel('time (min)')\n", "plt.title('Inputs')\n", "plt.legend()\n", "plt.grid()\n", "plt.show()\n" ] }, { "cell_type": "code", "execution_count": 14, "metadata": {}, "outputs": [ { "data": { "image/png": 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KKzRo0MCpfDhTXllZWRw/fpzY2NgCf9OUlBRq1qx5xUDG45uW7DVs2JCaNWty5MiRIgMZPz8/hz+OhY+Pj8v/YXWDAfICmcr0YeBO5fF3qMqkvJwj5eWcylZeJpMJTdMwGAwVOnrI0jxiubYz7r33XkaOHMmZM2eoV6+ew2MLFiygY8eOtG/f3uG4pmmlupYlaLA8T9M0WrVqxcqVKzGbzVy8eJG1a9fy/PPP8/nnn7N27VqHlaUnTJjAs88+i67rnDhxgkmTJjF69Gina3icKS+DwYCmaYW+F0v63qxU48hOnz7NxYsXyzTe3JV0GYYnhBCiGEOHDqVWrVrMnz/f4XhaWhpLlixh/PjxzJw50xrMzJw5kwULFvD9999bA5q1a9cC8MQTT9C0aVMCAwNp2LAh06ZNu2I/EktzXExMDG3atOHhhx9m3bp17Nmzhzlz5jikDQwMJDo6mjp16tC1a1cmTpxord3xZG6tkUlLS+PIkSPW+8eOHeOvv/6iRo0a1KhRg1mzZjFy5Eiio6M5evQoU6ZMoXHjxgwcONCNubbJqFWL0NOn3Z0NIYSolnQdMjLK/zpmM6Sng5cXWH6/BgZCSVqZvL29GT16NPPnz+fpp5+21posWbIEk8nEqFGjeP31163pJ0+ezP79+0lJSWHevHkA1KhRA4CQkBDmz59PTEwMu3fvZsKECYSEhDBlyhSnXk/z5s0ZNGgQ3377Lc8//3yhaS5dusTixYvp0qWLU+d2B7cGMtu2baN3797W+4899hgAY8aM4f3332fXrl0sWLCApKQkYmJiGDBgAM8991yhTUfukB0RARLICCGEW2RkQHBwRVzJAIQ7HElLg6Cgkj173LhxvPLKK6xbt45evXoBMG/ePEaOHElYWJhD2uDgYAICAsjOzi4w9cgzzzxj3Y+Li2Py5MksWrTI6UAGVDDz66+/Ohx77733+Pjjj62z7jZt2pRffvnF6XNXNLcGMr169aK4vsaeXoCmKtRrXgghRPlo3rw53bt357///S+9evXiyJEjbNiwwdoRt6S++uor3nrrLY4ePUpaWhq5ubmlHsSi63qBjrh33nknTz/9NADnzp3jxRdfZMCAAWzfvt2hL42nkU4eZWCwHyrmGYO/hBCi2ggMVDUj5b2lpJg5fTqJlBSz9Zizs3mMHz+eb775htTUVObNm0ejRo3o2bNniZ+/ZcsW7rzzTgYPHswPP/zAn3/+ydNPP01OKUfM7t+/n/j4eIdjYWFhNG7cmMaNG9OjRw8++eQTDh8+zFcevpZgpRq15Gn8L12y3cnJAQ9p8hJCiOpA00revFMWZrMaoBoUZOsj46xbb72VRx55hIULF/Lpp5/ywAMPFDk02dfXF1O+JXA2b95MgwYNrDUmACdOnChVXg4cOMDPP//M1KlTi01nma8tM2++NE8lgUwZOCxRkJkpgYwQQohCBQcHc9tttzF16lRSUlIYO3ZskWnj4uL45ZdfOHjwIJGRkYSFhdGkSRNOnjzJokWL6NSpEz/++GOJ5pnJzc3l7NmzBYZft2/fnscff9whbUZGBmfPngVU09Jzzz2Hv78/AwYMKNNrL2/StFQW9tF0Vpb78iGEEMLjjR8/nsuXLzNw4EBiYmKKTDdhwgSaNWtGx44dqVWrFps2bWLYsGE8+uijTJw4kfbt27N582amTZt2xWvu3buXOnXqUL9+fXr16sXixYuZOnUqGzZsIDhfT+mPPvqIOnXqUKdOHXr37k1iYiLLly+nWbNmZX7t5cljZvYtLykpKYSFhV1xZkBnGY1G0ps3J/zvv9WB3buhdWuXnb+qMRqNLF++nMGDB1eqCbjcRcrLOVJezqms5ZWVlcWxY8eIj4+v0Jl9zWYzKSkphIaGVuhEfJWVM+VV3N+0pN/f8hcpC/sY8MIF9+VDCCGEqKYkkHGV5GR350AIIYSodiSQKQPNvkZGAhkhhBCiwkkgUwZp9p21UlLclxEhhBCimpJApgwya9a03UlLc19GhBBCiGpKAhlXSU11dw6EEEKIakcCmTLwtQ9epEZGCCGEqHASyJRB+JEjtjsNG7ovI0IIIUQ1JYFMWdiPWqra8woKIYQQHkkCmTJwWO7LwxfVEkII4bk0TWPp0qXlfp24uDjeeOONcr9ORZJApizsa2EOHnRfPoQQQni0Cxcu8MADD1C/fn38/PyIjo5m4MCBbNq0CYCEhAQGDRrk5lwWNH/+fMLDw92djWLJ6teuYt9fRgghhLAzcuRIcnJyWLBgAQ0bNuTcuXOsWrWKixcvAhAdHe3mHJYvk8mEpmnlslaV1MiUgcPMvrL6tRBCiEIkJSWxYcMG5syZQ+/evWnQoAGdO3dm6tSpDBs2DHBsWjp+/DiaprF48WKuvfZaAgIC6NSpE4cOHWLr1q107NiR4OBgBg0axAW7df569erFpEmTHK49YsQIxo4dW2TeXnvtNdq0aUNQUBCxsbE8+OCDpOWNwl27di333HMPycnJaJqGpmnMnDkTgMuXLzN69GgiIiIIDAxk0KBBHD582HrehQsXUqNGDZYtW0bLli3x8/Pj5MmTZS/MQkggUxYSyAghhNulpxe95f9oLi5t/q6ORaVzVnBwMMHBwSxdupTs7OwSP2/GjBk888wz7NixA29vb+644w6mTJnCm2++yYYNGzhy5AjTp093PkN2DAYDb731Fnv37mXBggWsXr2aKVOmANC9e3feeOMNQkNDSUhIICEhgcmTJwMwduxYtm3bxrJly9iyZQu6rjN48GCMRqP13BkZGcyZM4ePP/6YvXv3EhUVVaa8FkWalsogLTqa4IQEdceJN6cQQgjXCQ4u+rHBg+HHH233o6IgI6PwtD17wtq1tvtxcZCYCOo3f7j1uLODVL29vZk/fz4TJkxg7ty5XH311fTs2ZPbb7+dtm3bFvm8yZMnM3DgQAAeeeQRRo0axapVq+jRowcA48ePZ/78+c5lJh/7Gpy4uDief/557r//ft577z18fX0JCwtD0zSHpq/Dhw+zbNkyNm3aRPfu3QH44osviI2NZenSpYwcORIAo9HIe++9R7t27cqUxyuRGpkyyKpVy3YnJ8d9GRFCCOHRRo4cyZkzZ1i2bBnXX389a9eu5eqrry42ELEPcmrXrg1AmzZtHI6dP3++TPlauXIlffv2pW7duoSEhHD33Xdz8eJFMoqK9oD9+/fj7e1Nly5drMciIyNp1qwZ+/fvtx7z9fUtNlBzFQlkysI+LJdARggh3CItrejtm28c054/X3Tan35yTHv8uDqekmLm9OkkUlLMZZrE3d/fn/79+zNt2jQ2b97M2LFjmTFjRpHpfXx8rPuaphV6zGw2W+8bDAb0fNVF9k09+R0/fpyhQ4fStm1bvvnmG7Zv3867774LQI4LvtMCAgKs+S5PEsiUgbd9xCqBjBBCuEVQUNGbv3/J0wYElCytq7Rs2ZL00nS6KUKtWrVIsHR3QI0U2rNnT5Hpt2/fjtls5j//+Q9du3aladOmnDlzxiGNr68vJpPJ4ViLFi3Izc3l999/tx67ePEiBw8epGXLli56NSUngUwZRNj10KZuXfdlRAghhMe6ePEiffr04fPPP2fXrl0cO3aMJUuW8PLLLzN8+HCXXadPnz78+OOP/Pjjjxw4cIAHHniApKSkItM3btwYo9HI22+/zd9//81nn33G3LlzHdLExcWRlpbGqlWrSExMJCMjgyZNmjB8+HAmTJjAxo0b2blzJ3fddRd169Z16espKQlkXKWYqFcIIUT1FRwcTJcuXXj99de57rrraN26NdOmTWPChAm88847LrvOuHHjGDNmDKNHj6Znz540bNiQ3r17F5m+Xbt2vPbaa8yZM4fWrVvzxRdfMHv2bIc03bt35/777+e2226jVq1avPzyywDMmzePDh06MHToULp164au6yxfvtyh6auiaHr+BrUqJiUlhbCwMJKTkwkNDXXZeY1GIzl16xJkGcNfsybYjecXjoxGI8uXL2fw4MFueaNXNlJezpHyck5lLa+srCyOHTtGfHw8/vnbjMqR2WwmJSWF0NDQcpnQrapxpryK+5uW9Ptb/iJl4NCFKTnZXdkQQgghqi0JZMrCvjLLaAS73uNCCCGEKH8SyLiSrIAthBBCVCgJZMoif/eiYnqHCyGEEML1JJApg0z7mX3BMpe1EEIIISqIBDJlkJF/Aay85diFEEIIUTEkkCkDLX/T0uXL7smIEEIIUU1JIFMGXvlXvL50yT0ZEUIIIaopCWTKINx+iQKA/H1mhBBCCFGuJJApgwJNS7m57smIEEKISmvmzJm0b9/eY85T2Ugg40plWd9dCCFElXPDDTdw/fXXF/rYhg0b0DSNm266iVWrVlmPjx07lhEjRpT52jNnzkTTNDRNw9vbm5o1a3LdddfxxhtvkJ2va0SvXr2saTVNo3bt2txyyy2cOHGizPkobxLIuNL+/e7OgRBCCA8yfvx4VqxYwenTpws8Nm/ePDp27Ejbtm2JjIwsl+u3atWKhIQETp48yZo1a7jllluYPXs23bt3JzU11SHthAkTSEhI4MyZM3z//fecOnWKu+66q1zy5UpuDWTWr1/PDTfcQExMDJqmsXTpUofHdV1n+vTp1KlTh4CAAPr168fh/P1S3Cl/09Leve7JhxBCCI80dOhQatWqxfz58x2Op6WlsWTJEsaPH+/QJDRz5kwWLFjA999/b60dWbt2LQBPPPEETZs2JTAwkIYNGzJt2jSMRmOx1/f29iY6OpqYmBjatGnDww8/zLp169izZw9z5sxxSBsYGEh0dDR16tSha9euTJw4kR07driqKMqNWwOZ9PR02rVrx7vvvlvo4y+//DJvvfUWc+fO5ffffycoKIiBAweSlZVVwTktnJb/gDQtCSFExdF1SE93z5b/h2wRvL29GT16NPPnz0e3e86SJUswmUyMGjXKIf3kyZO59dZbuf7660lISCAhIYHu3bsDEBISwvz589m3bx9vvvkmH330Ea+//rrTxda8eXMGDRrEt99+W2SaS5cusXjxYrp06eL0+SuatzsvPmjQIAYNGlToY7qu88Ybb/DMM88wfPhwAD799FNq167N0qVLuf322ysyq4WzvCk1Te1LICOEEBUnIwOCg8v9MgYgPP/BtDQICirR88eNG8crr7zCunXr6NWrF6CalUaOHElYWJhD2uDgYAICAsjOziY6OtrhsWeeeca6HxcXx+TJk1m0aBFTpkxx7gWhgplff/3V4dh7773Hxx9/jK7rZGRk0LRpU3755Renz13R3BrIFOfYsWOcPXuWfv36WY+FhYXRpUsXtmzZUmQgk52d7dCJKSUlBQCj0XjFKjhnGI1GjDVq4JeSgu7vj5aZiZ6eTq4Lr1GVWMrelX+DqkzKyzlSXs6prOVlNBrRdR2z2YzZbAaz2W3NCpbrl0TTpk3p3r07n3zyCddddx1Hjhxhw4YNzJw5E7PZbK2pMeedT9d16+u099VXX/HOO+9w9OhR0tLSyM3NJTQ01OF5+c9jfz9//jVNc3jsjjvu4KmnngLg3LlzzJ49mwEDBrB161ZCQkJKXDaW6xb2GgrLh67rGI1GvLy8HB4r6fvTYwOZs2fPAlC7dm2H47Vr17Y+VpjZs2cza9asAsd//fVXAgMDXZrHzlFRhB0/Tpa/PwGZmWRcusTK5ctdeo2qZsWKFe7OQqUi5eUcKS/nVLbysvT3SEtLIycnR9WEF9KJtkLk5kLeD+WSGDVqFE888QQvvvgiH3zwAfHx8Vx11VWkpKSQnZ2NyWRy+OGdm5trvQ/wxx9/cPfdd/Pkk0/y/PPPExoayrfffss777xjTZf/PPnv29u9ezf169e3Ppabm0tAQABReUvvREVF8frrr9O8eXMWLFjA6NGjnS6i/J2JC5OTk0NmZibr168nN98UJhkZGSW6jscGMqU1depUHnvsMev9lJQUYmNjGTBgAKGhoS67jtFoJPmFFwDwq1EDLl8mUNMYPHiwy65RlRiNRlasWEH//v3x8fFxd3Y8npSXc6S8nFNZyysrK4tTp04RHByMv7+/OpivaaY86LpOamoqISEhaFqB3pElMnr0aKZOncoPP/zA4sWLuf/++63NSn5+fnh5eVm/o4KCgkhJSXH4ztq1axcNGjTg2WeftR5777330DTNmi7/efLftzhw4ACrVq3iySeftD7m7e2Nr6+vQ1r71g1nvj+dKa+srCwCAgK47rrrbH/TPIUFYIXx2EDG0jZ47tw56tSpYz1+7ty5Yif88fPzw8/Pr8BxHx8fl//DeuXkAGAICABAy86uVB8K7lAef4eqTMrLOVJezqls5WUymdA0DYPBgMFQcY1KluYRy7VLIzQ0lNtuu42nn36alJQU7rnnHuu5LF/2lvvx8fH8+uuvHD58mMjISMLCwmjatCknT55k8eLFdOrUiR9//NE60reo82iaRm5uLufPn8dsNnPx4kXWrl3L888/T/v27ZkyZYrD68nMzOT8+fOA+q597rnn8Pf3Z+DAgU69bmfKy2AwoGlaoe/Fkr43PXYemfj4eKKjox0mCUpJSeH333+nW7dubsyZTfjRo2rH11fd1qzpvswIIYTwaOPHj+fy5csMHDiQmJiYItNNmDCBZs2a0bFjR2rVqsWmTZsYNmwYjz76KBMnTqR9+/Zs3ryZadOmXfGae/fupU6dOtSvX59evXqxePFipk6dyoYNGwjO11H6o48+ok6dOtSpU4fevXuTmJjI8uXLadasWZlfe3nSdL2EY8jKQVpaGkeOHAHgqquu4rXXXqN3797UqFGD+vXrM2fOHF566SUWLFhAfHw806ZNY9euXezbt69AFVRRUlJSCAsLIzk52eVNS3qNGvimpUH//rBiBTRoAMePu+waVYnRaGT58uUMHjy4Uv0CdBcpL+dIeTmnspZXVlYWx44dIz4+vsTfAa5gNputTT0VWRNUWTlTXsX9TUv6/e3WpqVt27bRu3dv631L35YxY8Ywf/58pkyZQnp6Ovfddx9JSUlcc801/PzzzxX6Bi6WJQa0dCIuQccmIYQQQrhOiQOZkna6gZJ3CurVqxfFVQhpmsazzz7r0LnJI3nnFWNSkluzIYQQQlQ3JQ5kwsPDS9xb22QylTpDlZKl6sxshqws8JQaIyGEEKKKK3Egs2bNGuv+8ePHefLJJxk7dqy14+2WLVtYsGABs2fPdn0uPZRmqU2KiLAdPH8e6td3T4aEEEKIaqbEgUzPnj2t+88++yyvvfaawxoRw4YNo02bNnz44YeMGTPGtbn0dPYT7Z09K4GMEEIIUUFK1f16y5YtdOzYscDxjh078scff5Q5U5VFtmUiplq11HpLoAIZIYQQQlSIUgUysbGxfPTRRwWOf/zxx8TGxpY5U5VFZq1aaic+HixrRORNJiSEEEKI8leq4devv/46I0eO5KeffrIu8f3HH39w+PBhvvnmG5dm0KPZr37t7a3W3rhwwb15EkIIIaqRUtXIDB48mMOHD3PDDTdw6dIlLl26xA033MChQ4eq1VpDmmWBK5PJNrtvYqL7MiSEEEJUM6WeEK9evXq8+OKLrsxLpRN+7Jja2bMH2raFjRvBbl0oIYQQoiQ0TeO7775jxIgR5XqduLg4Jk2axKRJk8r1OhWp1HMtJyUl8Z///Id7772Xe++9l9dff53k5GRX5q3yMBigUSO1n7dYlhBCCGFx4cIFHnjgAerXr4+fnx/R0dEMHDiQTZs2AZCQkMCgQYPcnMuC5s+fT3h4uLuzUaxSBTLbtm2jUaNGvP7669ampddee41GjRqxY8cOV+fRc9n3kbH8oWV2XyGEEPmMHDmSP//8kwULFnDo0CGWLVtGr169uHjxIgDR0dH4+fm5OZflx2QyWVfFdrVSBTKPPvoow4YN4/jx43z77bd8++23HDt2jKFDh1ap6qoS0zTIzlb7e/e6Ny9CCCE8SlJSEhs2bGDOnDn07t2bBg0a0LlzZ6ZOncqwYcMA1bS0dOlSQE06q2kaixcv5tprryUgIIBOnTpx6NAhtm7dSseOHQkODmbQoEFcsBtg0qtXrwLfwSNGjGDs2LFF5u21116jTZs2BAUFERsby4MPPkhaWhoAa9eu5Z577iE5ORlN09A0jZkzZwJw+fJlRo8eTUREBIGBgQwaNIjDhw9bz7tw4UJq1KjBsmXLaNmyJX5+fpw8ebLshVmIUtfIPPHEE3h727rYeHt7M2XKFLZt2+ayzFUaBgNY/kB79rg3L0IIUd2kpxe9ZWWVPG1mZsnSOik4OJjg4GCWLl1KtuVHbwnMmDGDZ555hh07duDt7c0dd9zBlClTePPNN9mwYQNHjhxh+vTpTufHnsFg4K233mLv3r0sWLCA1atXM2XKFAC6d+/OG2+8QWhoKAkJCSQkJDB58mQAxo4dy7Zt21i2bBlbtmxB13UGDx6M0Wi0njsjI4M5c+bw8ccfs3fvXqKiosqU16KUqrNvaGgoJ0+epHnz5g7HT506RUhIiEsyVqlomm2ZgowM9+ZFCCGqm+Dgoh8bPBh+/NF2Pyqq6M/pnj1h7Vrb/bg4SEzEAITbpytmsePCeHt7M3/+fCZMmMDcuXO5+uqr6dmzJ7fffjtt27Yt8nmTJ09m4MCBADzyyCOMGjWKVatW0aNHDwDGjx/P/PnzncpLfvY1OHFxcTz//PPcf//9vPfee/j6+hIWFoamaURHR1vTHT58mGXLlrFp0ya6d+8OwBdffEFsbCxLly5l5MiRABiNRt577z3atWtXpjxeSalqZG677TbGjx/PV199xalTpzh16hSLFi3i3nvvdVi2oMqzvJkNBvXPAQUjeiGEENXeyJEjOXPmDMuWLeP6669n7dq1XH311cUGIvZBTu3atQFo06aNw7HzZZyEdeXKlfTt25e6desSEhLC3XffzcWLF8ko5kf5/v378fb2ts4jBxAZGUmzZs3Yv3+/9Zivr2+xgZqrlKpG5tVXX0XTNEaPHk1u3lwqPj4+PPDAA7z00ksuzaAnMwYH433pkqqNsax4nb8aUwghRPnK69NRKMus6xbFffEb8v22P34cALPZTEpKCqGhoRjyp3GCv78//fv3p3///kybNo17772XGTNmFNmHxcfHx7qv5S2Dk/+YfQdag8GAnq+2yL6pJ7/jx48zdOhQHnjgAV544QVq1KjBxo0bGT9+PDk5OQTaryNYCgEBAdZ8l6dSBTK+vr68+eabzJ49m6NHjwLQqFGjMr/oyiazZk0CLl1S1Y+WoefFvGmEEEKUg6Cg8k1rNquJT4OCCgY7ZdCyZUtrB19XqFWrFgkJCdb7JpOJPXv20Lt370LTb9++HbPZzH/+8x9rgLZ48WKHNL6+vphMJodjLVq0IDc3l99//93atHTx4kUOHjxIy5YtXfZ6SqpMf5HAwEAiIiKsvZarG81++LVljSmZR0YIIYSdixcv0qdPHz7//HN27drFsWPHWLJkCS+//DLDhw932XX69OnDjz/+yI8//siBAwd44IEHSCpmSpDGjRtjNBp5++23+fvvv/nss8+YO3euQ5q4uDjS0tJYtWoViYmJZGRk0KRJE4YPH86ECRPYuHEjO3fu5K677qJu3boufT0lVapAxmw28+yzzxIWFkaDBg1o0KAB4eHhPPfcc+U2TtwjWV6rrkODBrbjqanuyY8QQgiPExwcTJcuXXj99de57rrraN26NdOmTWPChAm88847LrvOuHHjGDNmDKNHj6Znz540bNiwyNoYgHbt2vHaa68xZ84cWrduzRdffMHs2bMd0nTv3p3777+f2267jVq1avHyyy8DMG/ePDp06MDQoUPp1q0buq6zfPlyh6avCqOXwpNPPqnXqlVLf++99/SdO3fqO3fu1N999129Vq1a+lNPPVWaU5ab5ORkHdCTk5Ndet6cnBw918dH10HX58zR9ZwcXdc0df/kSZdeqyrIycnRly5dqufk5Lg7K5WClJdzpLycU1nLKzMzU9+3b5+emZlZodc1mUz65cuXdZPJVKHXraycKa/i/qYl/f4uVR+ZBQsW8PHHH1sn8gHVu7pu3bo8+OCDvPDCCy4KsyoJgwF8fNTsvpcvF9/xTAghhBAuU6qmpUuXLhWYQwagefPmXLp0qcyZqjTs+8iALFMghBBCVLBSBTLt2rUrtF3vnXfeKfeJbzySpRe7ZaZjWaZACFGefvsN9u1zdy6E8Ailalp6+eWXGTJkCCtXrqRbt24AbNmyhVOnTrF8+XKXZrBSsNTIWGqj/vgD7r3XffkRQlRdZ85A3ucuJpNLhwMLURmV6j+gZ8+eHDp0iBtvvJGkpCSSkpK46aabOHjwINdee62r8+ixrNP8WD5ILNNknzvnjuwIIaqD336z7f/zj/vy4Ua6k0sECM/lir9lqWpkAGJiYqpfp9788veRCQtTt4mJ7smPEKLq+/572/6+fbY5rKoBy9DejIwMAgIC3Jwb4QqWpRDKMmy7xIHMrl27SnzSilhbwRPkBgTgm5YGoaHqQI0a6vbyZfdlSgjhHrm5ajr88p6SffNm2/7OnZC3qGB14OXlRXh4uHV9ocDAwAqZAt9sNpOTk0NWVlaZliioLkpSXrquk5GRwfnz5wkPD8cr/1ISTihxINO+fXs0TbtiNZCmaQWmM66qsmrUUIFM/frqQK1a6tayXIEQonq4fBlatoReveDLL8v3WnnLwgDV8rPGsgpzWRdLdIau62RmZlbY2kGVnTPlFR4e7rCydmmUOJA5duxYmS5UFWmWmX0tf6iYGHWbnu6eDAkh3GPZMjh7FhYtgi++qLgOuHmLGlYnmqZRp04doqKiil0Q0ZWMRiPr16/nuuuuc8/MtZVMScvLx8enTDUxFiUOZBrYTcF/8eJFIiMjATh16hQfffQRmZmZDBs2rFp19rWyBDKWmpnMTPflRQhR8ex/vJw65bhkiav5+kJ2ttqvhoGMhZeXl0u+BEt6rdzcXPz9/SWQKYGKLi+nfjbs3r2buLg4oqKiaN68OX/99RedOnXi9ddf58MPP6R3794uXcnT0wVZVhk9fFjddu6sbv383JMhIYR7/Pyzbf/QofK9lrfd78/du8v3WkJUAk4FMlOmTKFNmzasX7+eXr16MXToUIYMGUJycjKXL1/m//7v/3jppZfKK6+ex9JfyFKN3LSpuk1NVR3/hBDVw9mztn0nBkaUiq+vbT811bZ4rRDVlFPDr7du3crq1atp27Yt7dq148MPP+TBBx+09kp++OGH6dq1a7lk1KNZApnISNXMpOtqcryoKPfmSwhRMexHKp46Vb7XyspyvH/xom2ggRDVkFM1MpcuXbL2Lg4ODiYoKIiIiAjr4xEREaSmpro2h5XA6TMad94Jh4562SbFk+nDRXnIzoa33oKDB92dk+olN9fWL6UwKSm2/fJsWtL1goGMvBdENed01/r8Q6lkKBp8Ms/AwoVw9dVATo46+Mcfbs2TqKLuuw8eeQQKWbRVlKMBA9SisEWN3syb1Aso3w64ubm2Jm2L8m7KEsLDOT2z79ixY/HL68yalZXF/fffT1BQEADZxf1iqYK0vA+Uf86oYC49HYgIVL/cqvFoAlGOPv3U3TmofnQd1qxR+2+8AW++WTCN/TDgo0fVc8rjR559jbefn/qskRoZUc05FciMGTPG4f5dd91VIM3o0aPLlqNKKDXDVrFlDAzB5/LlarsGiqhAiYlQs6a7c1H1WUYlAuzZU3ia2rXh5Em1n5OjJqoLD3d9Xuz74kRGqgUkZY4vUc05FcjMmzevvPJRKZl8ffHOzoaAQMibOibZUIOanJSFI0X5sPwKB9i7F3r2dG9+qgP7JQGKqmnNPwnmqVPlH8jUqaMCmQsXXH8dISoRWTSiDHLy1ljKCIuxHjuRmTdSSRaOFOXBfqjtzp3uy0d18ueftv2ialrT0hzvl1dzj/2SBOPGqdsDB8rnWkJUEh4dyMycORNN0xy25h7YyTG8hq0YD6XVVTtJSe7JjKja7Ncxk35YFcMyEhFUbVj+kZkmU8ERTeU1UZ3lc0XTIC5O7ef1URSiuvLoQAagVatWJCQkWLeNGze6O0tWlrWWYuraOvXtzmqkdvL/QhOirHTdsUbG0idDlC/LqvYWJ0443rf/0WIJKsprCLZlmLfBAF26qP1//nEcNSVENePxgYy3tzfR0dHWraYHdW70z2uvDks9bT22jY5qpzzax0X1lv9XvwQyFSN/kJC/Jix/v5XC0riKZXmCoCAICwPLOjbubGY0GmV9OeFWTg+/rmiHDx8mJiYGf39/unXrxuzZs6lvWZyxENnZ2Q7DwFPyfsEYjUaXrpRqNBrxzht+nZWtbuPidA4fV8sU6MnJ5ObklM8QzErIUvYVtVptZVdoeaWmYr/8mr5vH7lSnkD5vr8MJ09ivzShaccOzAMH2g4kJlr/Lub69TEcOYJ+5ky5/G20yEi8Ab1BA3J1HW9AA+jeHT06Gu3sWcx9+4LJhHbmDFpezZC5SxeoVQvDDz+o8wwZwtWpqWiff45Z01RNn8mknrd6NZpd52XzgAFgNmNYuVLtBwaCrqOtXAmNGqHlm8fGfMcd1n3DwoW240OHqnlwEhMxbNtW7Os0jxqFtmIFml1fQ/Mtt0B2NtrevWhHj6pjgwdjWL4cc48etiDSxwfdz091jA8MxHznndC2rZMl7Ug+v5zjqvIq6fM1Xc8/u5Ln+Omnn0hLS6NZs2YkJCQwa9Ys/vnnH/bs2UNISEihz5k5cyazZs0qcHzhwoUEBga6NH/DRoxAA24N+IYlmTdhMOj4mTPJQFUv/7hwIbkuvqaovvwuX+b6e+5xOPa/xYsx26+9I1yu17/+RZhd7df5du3YYvcZU3PXLnpMn44O/P7UU3R98UUyIiNZ8cknLs9Lnc2b6fzyy1xs0YKNs2cz4J57CLCvERIFXGzenI3VaQ3AKiQjI4M77riD5ORkQvMG1xTGowOZ/JKSkmjQoAGvvfYa48ePLzRNYTUysbGxJCYmFlsQzjIajQQEBaEBo0L+x6LUoXToYGb7dgO6+o2E8fvvYdAgl12zMjMajaxYsYL+/ftXyLLulV2h5XXsGD7NmqH7+aHlvceNe/dCkyZuzKlnKM/3l3fLlmhHjljv602bkms/n8yyZfjcfDO6ppH7zz/4xKhRjMbLl13eEVebPx/v++7DPHAgpv/9D8PkyXi99VaBdKaJEyE6Gu3XX9E2bLBO3lkY0/Tpak4agwHtu+8wrF5ddNpJk6B+ffD1RZs/v9iaFdO//oVhwwa0P/9EDwtDsx9xlY8eGYnepg2GtWsxd+6MoZiZ0U033oh24QJ6r15of/1lrWUq8twhIeQmJpapdlw+v5zjqvJKSUmhZs2aVwxkPL5pyV54eDhNmzbliN2HSn5+fn7WmYft+fj4lNsb0JzX1ahtW4Nqqs5b+NrnxRdh2LByuWZlVZ5/h6rIobzyhv7afxz7HD0KLVtWfMY8VLm8vyzLjvj7Q1YW2oULjtfI6x+iaRo+deqooODiRXyOH4f27V2bl19+AcBw4AAGHx94+WUYPBhCQqBRI7UyttmMV40a6ov76afVKKusLNV85OUFJhPGjAxWbtxIv969VZ698hrP7rhDdSi2/9I3m63P9YqJsa2+fffd6rVrmuono2mqE7KXl8pDRIQ1rZaerubasZxX0xw2LTgYLa9MDTk5qj9YEWm9fHxs+TWZVN7s04JtdFlMDFpqKj7nz0O9emUufvn8ck5Zy6ukz61UgUxaWhpHjx7l7rvvdndWHOTqKpAJCIAOHYDf1XF9xw6kh4xwmTNn1K3RqDp5Go2wdi3ccINbs1XlWWp4o6NVJ978TTmWEYqGvLETAQHqdssW1wcyllFLlmDCzw/s++sUJiREbfaMRjUPVu3atqAA1Ait/KO0ihIaqraSCAoqee2Ur6/t9V2Jl5dj/i0CA9XWpIma0+fPP10SyAjP5NGBzOTJk7nhhhto0KABZ86cYcaMGXh5eTFq1Ch3Z82BnhfIeHvDqFGw8/e2tGMXWeHRBLg5b6IKsXyJeXmpESuJibB9u3vzVB1YOhw2aWIbjXT6tO2LsXFjddtUdfS3zjPz4INqi4mB2FhVW/Dbb+qxNm3UXDM+PqpGzctLBUIGg3p+VJS6blaW2iIiYNs2W1Alfe9K5uJFdbtsmQT8VZhHBzKnT59m1KhRXLx4kVq1anHNNdfw22+/UatWLXdnDQDdywvNZCJTV01Z3t6qJenrSf1pxy64dMnNORRViuUL0mBQIzQSE2VNr4pgCWRatIAVK9T+xo1w++1q39L0ZKmJad0aNm2yPf/MGVttmoVlwjyjsfCh0/v3F5+nqKiS5786q11b/Z/ICuFVmkcHMosWLXJ3FoplDAzELzWVRFRg5e2tJtv8ja4A+JkyMJt0DF7SwCRcwFIj4+0NnTurL8OzZ92bp+ogN6/TW82aqiYkIwM2bLAFMpZaEkvfvKefVv1W8ps0STVDxcSoxSe//bboaz7+OHTtqvrlrFgBb71l6ycSFgYzZrjs5VVpLVuqNclkFuwqzaMDGU9nCU+CQgyQofr4aRpMXtYThoEBnR1LDnP17U3dmk9RRVj6Ynh7w3PPwSefqGNJSTIBY3kKD1edWhs1Uot0/vSTYz8Zy1pMloViBw2CDz5QMwD36aOaoDIzIT5eBSGganFyc1Wgkn/GZrA1NYEKil5/vVxfYpXVtSssWaKamHRd5vWqojx+Zl+PlvfhUzta/XM0a6YOd7uhFiZNdUA79MEa22RTQpSFJZDx8VFNS3Xz1vXau7di82E2qy+F6sJS09KokRqpAypIyclRzceWX/v2azDddx+88AL07as+GNq3twUxoDqzBgbaRvn4+DhuBvlodombblK3JlP5rX8l3E5qZMrAJ2/q8uBs1aHM/rMnvUFLQo/v5va193POawZRnMOIL77kYEJj+7zddB7byh3ZFpWVZbZVy5DETp1UH5lrrlH3/f1VgGM0WofZcjpv+YzQULX4oY+PbciqyaRqBbKy1LkDAtQcIVlZtn4huq62opqwGja0jRzp2RPmzi2/1+8uliUKAgPhqqvU/ubNtgDHQoblep64OBU05uTAV1+VeYZf4ZkkkCmLvF+lplx1az8K0NS7P8xTvwBqo6qcfVGdAr3QSZk0A33M11LTKUru6qth0SLo3l3dj4hwfDwrC44dK/y5KSm2PjZFycxUQ1Wd8ffftv0DB2D8eBVgVSX2TXrNmxedTjrgeqb69eHIEVizxt05EeVEAhkX+PuEimB277b18fO/bzSX5/2X48TxMo/Tkn0kEcErTMGAmTrJ+9m+HTp2dGPGReViqSWx9IcZMADmzSs6/RdfqH4btWvD55/D1q2q1iZvwjLMZlWL4O+vOo/WqqV+vX7+ufrQ9/KyNSHl5NgmSouNVcduuglOnYLVq9UXBcB331WtQMZsttXIWDr1Dh+uRsGkp8P58+rv0bQpfPSR27IpinH99fDOO2r0kqiSJJApA0tlimVmX2+70gzo2o6Rgy7z00/q/pEj6gdv9hvHCPjkXWI5xb/egfnzKzTLojKzfKFahvnedpvqo2EywXXXqUnP/P3VFhCgbi1VfnYL+V3Rtdc6n7fGjeHoUVi3zvnnejL7fi+WGrClS92SFVFKU6aoQObvv1Xw6eJlI4T7SY+y0rLr7GjS1ZeFd76w8O231ZQSb72l+gm2bg0BQ/oCEEIqny3IJSkJjDk6v3+0i0sn01yfx/yjIUpzjj17HD/Q3amoTqau6nxaXHkdOKDmA3FXR9cdO9Stpb+KpqkJ1x5+GNq1U/1VYmLUzKwBAeU6QiMnxxZXAWo4OKgysrdwISxe7Loyq+iyt0yoBqrGSlQ+sbGqY7zJBL//7u7ciHIgNTKlZfeBatYL1siACl4KdJTv3x+zlzcGUy5NOUS/fi2Zdv5hhp96V50Wx7V0cvDGN2/xplQtBB0NLz0XA2Z0NOsClepWI5iCwVA2vtZ0Di8BjWz80LW8/OtGQvKen0EAOhpB2L6t0gkgR/PHhBcG3YQ3uZgxYNbUfR+MDunt+QDDgXQCyc6Xlyz8MWne1jxEcsn62k14E0BWoee8QE1CScaPwpd6z8aHXHww4osP2RgwY0AnF+8i8wlgBtIJzitdtQWSWcQ1fDFRyBTpeXLwJVdTnUA13Yx/3muxXD+dQEx4oaGTgy9GTU3NbtBN9CWDbCAH9V4LIBMDsO67iwwLK3CpCpG/m01EhIqXbskZzFy+RL90SS1o6eenhiDff79KOGqUarayrMdj2XJyVPAYEKCaucxmWwdkS0djy/+aZT4XsK5nZGF5f+l+fiq9waCagoKC1D+mwaDOn56ujlua6QIDbQGfwWBdqwiz2bY+kYXMplt59eypguoFC9SQeFGlSCBTWg41MoUHMoUKDkbr2AF+/53W7OXb7c24gfesD+cPNyxBDECIXrpaEb+8TsaFCSALCvmRW9gXdxCZBOmFfKE78SO5sAAimPRCz6Fee27BB/LUovg2bz+MeUFORr7jRZcHqGrKkEICwsKvUfy5AskstnwKlEcJynK/qckV++1WFMt0Kl8ylHcx4IWZrI3b8O/bQ1VJWlgCg6LYrVhfIvY1JXa0/OdJu8LfMaPogNaBjEiq3CyB67Jl7s2HKBcSyJSBrmlouo5RV8VY0s86rW1b+P132vMXK+mHIe/ba47hSTDrhJJMJImkE0QaIYSQQreFj+AVEQq6zvpHv8P/4J94YQI0tLzna5jxI4cWM25Fu+Ya0HU2//sb/Hf/Ybu2XVqA+HceJzw+QqWdtYKArWvxwkw2vhjQCSGVjmxjJ+0Ifv15ajcLRzOb2PrCL/hvWZNXy2HKq/nwIRdvIrhE9NjBhPfvRG6NKLa9sobA1f8jnUBUqGb7tjagU+vfY4jrFQfA9rl/4P/j1xjxIY1ga81TDS6RTBg1J46iRQuNnPhm7P5gE1nf/4I3RtIJxo9sIrlIIjUxYCJ43G20GhIPXl7s/PowaZ9/iw+5+JINltooNGpxnszb7qHNDfEYcrI4tnw/l75eiRkvVeOUV9sVSIZ6ldd0oeG/1LotBzZf5OwbX1rLVkfLe4UqJA0Y0odOD3VBQ+fvDac5NftzNMz4k00AmaQRZK31MfTuRadHVf+Uk9v+4cyz8/L6X6kUZgycozbPMp3774d//1uV4fHj0L9/0e+30aNh2jS1f+6cbbR2YW69VU1/Aqr2pUOHotMOHgyvvaZilMuXw/Hqod5TB8fOpt2pH2wdgKdPVxf99FPbHDSWW8vEcIMGqV/NBoNqOvvkk4KrH4Nq4uzdW53PYIB9+2DxYsxpaZxLTiaqYUO8vLxsQ9BbtVLrhvj4qM6eb7+tal0yMlQaSxOcpqmh1cOGqf3MTHjlFdv1PWx9N+Gke+5RE+MlJam+Mg0bujtHwoU0Xa/aM1ulpKQQFhZGcnIyoSVdqbUEjEYjhqAgvIxG4g0nOG6uz4IF6kvjit55Bx5+mP2Glgw2/8AxGpLjFYBvrvp1mJurfqBapvowm21V+KA+j1NTVZrsbMfvBV1Xc29ZaoeOHFHfC5Y09puuqz6i/v4q7f79ap4vC/vvEYAePWz95A4cgEOH1L7BYGsxsKTt3t22MO6RI7BvXy5bt26lY8dOeHt7O0yy2a2bbcHdY8fU/G75WxUs+927q0E4lrSWSVUtaex17WqbM+7kSVvzeP50uq7SNmig7v/zj1oqx9L6Yf89Cqo7Sny82j9/3nFZnfxl1qqVbU3BixfVYtX2XZfsy6F1azWjOkBiopH//GcHHTt2wDvvj2mf7yZN1LlBVTr8+mvR5dCokW0R5sxM+OGHguks+w0b2gYdZWergU+5ubYpZyybyaSWHho+XKU9ehQaNbYV0oL5OmPG5Y2O+vxzuPNOypPRaGT58uUMHjwYH6k9uaJqV14mk+1DsVcvp4diV7vyKiNXlVdJv7+lRqYs8j79ffwMkFnyFe2pWROA5uZ9dGOzOmawfQl4exffTFWzpvUUV9S4se2L9EpatFBbSTRvXvyUGvnz0KCBjq6fZ/Bgvdiaq/h4W5BwJc6krV9fbSVRt66qmSiJqCi48caSpY2MhJEjS5Y2LAy6dj17xfICNc+dZQLTKwkIgFtuKVlaPz8YN65kaRs1crz/f2OzGJ1Xl5UbVYfM1OL76RbVL7m4/sr2j6mFor1IT1cVLs5ex9k8mM3w11/qf94yJ2B5KK/+2ioY1cjNLfs1tm1TP0T8/dX/jv0PGo9h/wfassV9+RDlQgKZMtDyPplDwzTItE2vcUV5P2M14DYWA+Q1EwlReZn/2Iahs5oY6U4+t/b36jAill0l7IpSej7A0PK+SBXiAwyrkCvlr6W0r+EszbHCHmvRQtU0RkYWk5GxY9V8F9nZqj02Lq5Mr0t4Dhl+XVrZ2Wh56ydZmoRK/KssIMA6J8WQ0A0AGAL8inuGEB7P0KkD5ijV7vcwto6+hzLquitLwgNYmoUtTdr2zZRGo9pycmxN5VlZasvMVF2ZMjLUYLP0dNWMmpammtYtk1UnJ8Nvv6luVsnJxWTk449t1XXTp1fIaxcVQwKZ0jKbrb84TXn9HZxa5y1vzQ/vFDXsQ7N0VBGiEjMMuh6A9uwCVLfuLIoftjxmjO0Ly7KAdFFuvtn2pXalkVuDBqkvPMuWf2kkez172r4YU1IKrv5gr3171V/0779VLUBxKxO0bKn6l1q24pp54+Ic0xa3LFBUlBoxZtm6di06bXCwY9riRh8bDGqORcs29AqVXGfOqH5fTz4JQ4YUn3bvXpX+n3/grruKT7tpk+oDd+yYWvWiOG+/rf5eW7eqSXyLfF94ealFPEHNQC0L+VYZ0rRUWnYN/omXVARz9qwTa5KNHOk4C6rMUSGqgq5d1VwdecwYmDQJnn/e1nEdHPvL+PraJiv284MLF2yP5e9XY1k02vKYZW5Ao9HIqlWr6Nu3r7Vzoa+v+hK3sO/Inv+8Pj5qYmQLS4fzotJagpf4eNXhPDe38PQ+Po6LXq9fr9LadyK3bF5ejmlXrlS1FfYd3y3nNhhsK1WA+l4uagS7pjmmXbwY0tKMrF69mj59+uDj4+OQd/sgbt684keoR0erdUp79lSDECzrmhamXj1brfWbb9pGxxUmJsbWT/CVV2wVKJaBbpbam+xsNdisRw8VoP32G/TrB8uXF9GP8J13VCSamqqGYpe0g5vwaBLIlJb9PDJ5FVtOdfgbPx7+9S/bfftPXCEqq3w9wL2iavL66yV/usFQ8o7smmYbwWY0Qnh4NrVrFz0NgiVtSdSpU/K0MTHlc15nJhKOji552shI1Um5Ro0sYmKKnzaipH8LS9qSpq9RwzZS8UoiIoqvIQMVzLRpAxs2qJqZzp1hxYqCndBp2FDNhP3ii/DqqzBihAf2TBbOkqal0rKb8dOy1pJTo8wCA9VPFAsXDg0Xwm169nQcSnalbyAhXOSll2w1T8eOqeBm+fJCEj70kKr627wZ3n+/IrMoyokEMqVV1kAGbNO3g2OdshCVlaaplaEtDh50X15EtdK9u5oryjIfVGqq6rfzwAOqz5FVTIya+BBg0qQrd7YSHk8CmdIqJJAp0RIF9uybllq3dkGmhPAAwcG2vgf2wboQ5axpU9i+XXX0tpg7V3Wy/u9/7T6258xRQbfRCAMGuCWvwnUkkCktu3ZVSyBT3ERchQoJgcceUzNJjRnjwswJ4WbffAMbN6r6fiEqUGSkGk32yiuq36K3t5pVe/x41Sl4+3ZU8+djj6kn/P47zJzpziyLMpJAprTsOufmoMZ1Ol0jA6rDWXq6bb55IaoCTVPfGtJkKtzAYIDJk9Xsy8uXq4/Z4GA1qqljRxXUHBj/im1NkFmz1FpMolKSQKa07EYtWRYILNVUMJZFioQQQrhU69ZqQdV//1t11+rWTR3/73+hRUuNEdFbMAbmDbS4/XY15ElUOvINWlp2gYylacl+HgohhBCeIyYG7r7btvAtwPerQ2ma8RdZmj+YzZi+/Mp9GRSlJoFMaV28aN3VUD3IpGJFCCE81wMPqJmFX33VNqfPceJprB/ibcO/SH96tnszKEpFvnpLKzfXumtCzYRXXivgCiGEcI2wMNXUdPIkfP21GuGUYIjlvaZvEhqZN4eG0ci+Lvfw2382yejsSkBm9i0tu+HXusSDQghRqXh7q5ViRo5Uy2IkJtoeS5s2h5Z/zIc/5vP15JtZ0nIaWY1bkZam0bmzmjFYauA9h/wpSsshkFGdfUs1akkIIYRb1aoFLVrY7l+66V7WNp2ACQM38zVf7WvHhGWT+OCuzTRtqjNpki1tejqsWQMJCQXX5RIVQ756S0sCGSGEqJLqd46m/sEPYddEMp56joDl3zBU/5Gh/MgerTV/tNgGedNu7NxpW1E8JASaNVMT8zVooLZevdQxUX7kq7e07JaAtwQyUtUohBBVSNu2BP6wBOO+ffzz6KM02LiRlr0a0PgeP2uSwJXLuCruWnaejCA1FbZtU5vFu+/aApk//lAdjuvUsa0cHh1t22/WTE3oJ5wjgUxpFTKPjHT2FUKIKqhJE3Y++CB1Fy7EJyXFNmfYiRO0nzGcHT4+mPr341zX4eyqcz27Uxpw4gScOKFW5bY4fBh27Cj6Mh98APfdp/Y3b4ZHH1WBjWVlcfv9jh1t60pVdxLIlJbdEgUSyAghRDUQGupYZZKQoCKV3bvx+uUnYn75iRjg+ubN4frr4cVxDpFM375q+YSEBDh7tuBtvXq2U588qWpwivLRR3DvvWp/5Uq1vFl4eOHb7beribYBLl2CP/90fDwsrHJ3jajEWXezqCjrriWQsYtthBBCVHVdu6rV3g8eVOuL/fQTbNkCBw6orUcPWyBz+DDRhw4xpEcPFT1cQc+e8P33ajTVxYsFb+PjbWkTEyEtTW2nTxc811VX2QKZbdtg4MCCaYKDVZz2wgswdqw6dvAgzJ6tjoeEqFv7/TZtHPPhLhLIlFYhTUtCCCGqoWbN4Kmn1Hb5MqxapYKafv1saRYuVItTappaO6FzZ9U+1LGjigj8/BxOWacODBtWsssPG6aarZKTISmp4Hb11ba03t7q8pbH0tLUcUsgZDdFGidOwIIFRV/31VfVnDzuJoFMaeVbosDHx415EUII4RkiIuDmm9VmLzQUmjRREcfu3Wr75BP1mI8P7N+vJqgB1a7k7+9Q81+cwEBo3Lhk2evTR13awmhUAdDly5Ca6ti81bgxzJkDKSnqsZQUx61+/ZJds7xJIFNaCQnWXR1N+scIIYQo2qOPqu3sWdX8tH27bYhTVhbExdnSPvkkfPmlmuCmVSu1tWypAqFGjVR7jov6Mvj42DoQ59ewIUyZ4pLLlCsJZEorK8u6K4GMEEKIEomOVj1zb7xR3dd1OHfOcbRIcrIKVC5cgLVr1Wbh4wOZmbb08+apNqIGDSA2VlWp1K5dreYDkUCmtOwmxAONzEy35UQIIURlpWkquLH3449qyuD9+2HvXtizR3UePnoUfH0dg5733nOcuAZUsFO3rqrB+fVX2/G1a1UnmNq1VbNVZGTlHq6Up1K8gnfffZdXXnmFs2fP0q5dO95++206d+7s3kw5BDIyNbUQQggXCgqydQa2l//LZsQI1Sx16pQaspSQoDq+HD9eMEh5/HHHoEfTVJtSVJRqR1q2zPbY4sWqI0xEhOMWHq76+3hQjY/HBzJfffUVjz32GHPnzqVLly688cYbDBw4kIMHDxJVwo5Q5SJvZl/LW0qGXgshhCh3+b9snn7a8b7RqPrhnDrl0AUCUDU0GRlw/rwaw63rqvnqwoWCaefMKXr2vlq11DksTp927CVcwTw+kHnttdeYMGEC99xzDwBz587lxx9/5L///S9PPvmk+zJmP0YNCWSEEEJ4AB8f1VcmNrbgYwsX2vZzc9UENOfPq81u2R1ADW+KiVHDmey3rCxVI2MvfxBUwTw6kMnJyWH79u1MnTrVesxgMNCvXz+2bNlS6HOys7PJzs623k9JSQHAaDRiNBpdlreEtQdwHHmmYzTmFpFaWMrelX+DqkzKyzlSXs6R8rqyN94wELPiU+om7lQ9CVJT2DBjjSe1qLhUzL5VNM2+HoDfag8jKyYeyBsO7gdEq81gzsVgNpJ79STrcw0mI6H3306re7sCrnt/lfT5Hh3IJCYmYjKZqF27tsPx2rVrc+DAgUKfM3v2bGbNmlXg+K+//kpgYKDL8qbv+of6gAnV6cpgMLN8+XKXnb+qWrFihbuzUKlIeTlHyss5Ul5Fmzu3J7P//oleLHF3Vipc13PL4Jxzz/niqxqciLnkcKys76+MjIwSpfPoQKY0pk6dymOPPWa9n5KSQmxsLAMGDCA0f3VYGRzR4lm1aRfbgq+nax0z//d/OoMHD3bZ+asao9HIihUr6N+/Pz4ye+AVSXk5R8rLOVJeV3bsmIHclcNYnRiPruskJycTFhaGVkX7EUTtWUvrdLW406bY28iOcW5FyjZ3DaLF4E6A695flhaVK/HoQKZmzZp4eXlx7pxjaHju3Dmi8w9Xy+Pn54dfvqmeAXx8fFz6D9t4UAsOfTKBxwYP5gkfA1BF6xtdzNV/h6pOyss5Ul7OkfIq2qRJwKS7APXFvHz5cq4bPLhalFcPF52nrO+vkj7Xo799fX196dChA6tWrbIeM5vNrFq1im7durkxZ0IIIYTwBB5dIwPw2GOPMWbMGDp27Ejnzp154403SE9Pt45iEkIIIUT15fGBzG233caFCxeYPn06Z8+epX379vz8888FOgALIYQQovrx+EAGYOLEiUycONHd2RBCCCGEh6kUgUxZ6HnTOZe093NJGY1GMjIySElJqRadv8pKyss5Ul7OkfJyjpSXc6S8nOOq8rJ8b+tXWAOoygcyqampAMQWNsuhEEIIITxaamoqYWFhRT6u6VcKdSo5s9nMmTNnCAkJcen4f8v8NKdOnXLp/DRVlZSXc6S8nCPl5RwpL+dIeTnHVeWl6zqpqanExMRgKGZK5SpfI2MwGKhXjotZhYaGyhvbCVJezpHyco6Ul3OkvJwj5eUcV5RXcTUxFh49j4wQQgghRHEkkBFCCCFEpSWBTCn5+fkxY8aMQpdDEAVJeTlHyss5Ul7OkfJyjpSXcyq6vKp8Z18hhBBCVF1SIyOEEEKISksCGSGEEEJUWhLICCGEEKLSkkBGCCGEEJWWBDKl9O677xIXF4e/vz9dunThjz/+cHeWPMLs2bPp1KkTISEhREVFMWLECA4ePOiQJisri4ceeojIyEiCg4MZOXIk586dc1OOPcdLL72EpmlMmjTJekzKytE///zDXXfdRWRkJAEBAbRp04Zt27ZZH9d1nenTp1OnTh0CAgLo168fhw8fdmOO3cdkMjFt2jTi4+MJCAigUaNGPPfccw7r1lT38lq/fj033HADMTExaJrG0qVLHR4vSflcunSJO++8k9DQUMLDwxk/fjxpaWkV+CoqTnHlZTQaeeKJJ2jTpg1BQUHExMQwevRozpw543CO8igvCWRK4auvvuKxxx5jxowZ7Nixg3bt2jFw4EDOnz/v7qy53bp163jooYf47bffWLFiBUajkQEDBpCenm5N8+ijj/K///2PJUuWsG7dOs6cOcNNN93kxly739atW/nggw9o27atw3EpK5vLly/To0cPfHx8+Omnn9i3bx//+c9/iIiIsKZ5+eWXeeutt5g7dy6///47QUFBDBw4kKysLDfm3D3mzJnD+++/zzvvvMP+/fuZM2cOL7/8Mm+//bY1TXUvr/T0dNq1a8e7775b6OMlKZ8777yTvXv3smLFCn744QfWr1/PfffdV1EvoUIVV14ZGRns2LGDadOmsWPHDr799lsOHjzIsGHDHNKVS3npwmmdO3fWH3roIet9k8mkx8TE6LNnz3ZjrjzT+fPndUBft26druu6npSUpPv4+OhLliyxptm/f78O6Fu2bHFXNt0qNTVVb9Kkib5ixQq9Z8+e+iOPPKLrupRVfk888YR+zTXXFPm42WzWo6Oj9VdeecV6LCkpSffz89O//PLLisiiRxkyZIg+btw4h2M33XSTfuedd+q6LuWVH6B/99131vslKZ99+/bpgL5161Zrmp9++knXNE3/559/Kizv7pC/vArzxx9/6IB+4sQJXdfLr7ykRsZJOTk5bN++nX79+lmPGQwG+vXrx5YtW9yYM8+UnJwMQI0aNQDYvn07RqPRofyaN29O/fr1q235PfTQQwwZMsShTEDKKr9ly5bRsWNHbrnlFqKiorjqqqv46KOPrI8fO3aMs2fPOpRXWFgYXbp0qZbl1b17d1atWsWhQ4cA2LlzJxs3bmTQoEGAlNeVlKR8tmzZQnh4OB07drSm6devHwaDgd9//73C8+xpkpOT0TSN8PBwoPzKq8ovGulqiYmJmEwmateu7XC8du3aHDhwwE258kxms5lJkybRo0cPWrduDcDZs2fx9fW1vrEtateuzdmzZ92QS/datGgRO3bsYOvWrQUek7Jy9Pfff/P+++/z2GOP8dRTT7F161b+9a9/4evry5gxY6xlUtj/ZnUsryeffJKUlBSaN2+Ol5cXJpOJF154gTvvvBNAyusKSlI+Z8+eJSoqyuFxb29vatSoUe3LMCsriyeeeIJRo0ZZF44sr/KSQEaUm4ceeog9e/awceNGd2fFI506dYpHHnmEFStW4O/v7+7seDyz2UzHjh158cUXAbjqqqvYs2cPc+fOZcyYMW7OnedZvHgxX3zxBQsXLqRVq1b89ddfTJo0iZiYGCkvUa6MRiO33noruq7z/vvvl/v1pGnJSTVr1sTLy6vAyJFz584RHR3tplx5nokTJ/LDDz+wZs0a6tWrZz0eHR1NTk4OSUlJDumrY/lt376d8+fPc/XVV+Pt7Y23tzfr1q3jrbfewtvbm9q1a0tZ2alTpw4tW7Z0ONaiRQtOnjwJYC0T+d9UHn/8cZ588kluv/122rRpw913382jjz7K7NmzASmvKylJ+URHRxcY5JGbm8ulS5eqbRlagpgTJ06wYsUKa20MlF95SSDjJF9fXzp06MCqVausx8xmM6tWraJbt25uzJln0HWdiRMn8t1337F69Wri4+MdHu/QoQM+Pj4O5Xfw4EFOnjxZ7cqvb9++7N69m7/++su6dezYkTvvvNO6L2Vl06NHjwJD+Q8dOkSDBg0AiI+PJzo62qG8UlJS+P3336tleWVkZGAwOH7Ee3l5YTabASmvKylJ+XTr1o2kpCS2b99uTbN69WrMZjNdunSp8Dy7myWIOXz4MCtXriQyMtLh8XIrr1J3E67GFi1apPv5+enz58/X9+3bp9933316eHi4fvbsWXdnze0eeOABPSwsTF+7dq2ekJBg3TIyMqxp7r//fr1+/fr66tWr9W3btundunXTu3Xr5sZcew77UUu6LmVl748//tC9vb31F154QT98+LD+xRdf6IGBgfrnn39uTfPSSy/p4eHh+vfff6/v2rVLHz58uB4fH69nZma6MefuMWbMGL1u3br6Dz/8oB87dkz/9ttv9Zo1a+pTpkyxpqnu5ZWamqr/+eef+p9//qkD+muvvab/+eef1lE2JSmf66+/Xr/qqqv033//Xd+4caPepEkTfdSoUe56SeWquPLKycnRhw0bpterV0//66+/HD7/s7Ozrecoj/KSQKaU3n77bb1+/fq6r6+v3rlzZ/23335zd5Y8AlDoNm/ePGuazMxM/cEHH9QjIiL0wMBA/cYbb9QTEhLcl2kPkj+QkbJy9L///U9v3bq17ufnpzdv3lz/8MMPHR43m836tGnT9Nq1a+t+fn5637599YMHD7opt+6VkpKiP/LII3r9+vV1f39/vWHDhvrTTz/t8KVS3ctrzZo1hX5ejRkzRtf1kpXPxYsX9VGjRunBwcF6aGiofs899+ipqalueDXlr7jyOnbsWJGf/2vWrLGeozzKS9N1u2kehRBCCCEqEekjI4QQQohKSwIZIYQQQlRaEsgIIYQQotKSQEYIIYQQlZYEMkIIIYSotCSQEUIIIUSlJYGMEEIIISotCWSEEEIIUWlJICOEcJmxY8cyYsQIt13/7rvvtq6OXVrz588nPDzcqefcfvvt/Oc//ynTdYUQpSMz+wohSkTTtGIfnzFjBo8++ii6rjsdCLjCzp076dOnDydOnCA4OLjU58nMzCQ1NZWoqKgSP2fPnj1cd911HDt2jLCwsFJfWwjhPAlkhBAlcvbsWev+V199xfTp0x1Wow4ODi5TAFFW9957L97e3sydO9ct1+/UqRNjx47loYcecsv1haiuvN2dgfJmNps5c+YMISEhV/xFKYQoWmBgoHXf19e3wDGz2cwdd9xBcnIyX375JQCDBw+mVatWGAwGvvzyS3x8fJg2bRq33HILkydP5vvvvycqKopXXnmF/v37W8+1b98+pk2bxubNmwkMDKRPnz689NJLREZGFpo3k8nEkiVL+Pjjj0lJSbEeb926NaNHj+bIkSP873//o0aNGrzyyit07tyZiRMnsm7dOuLi4nj33Xe5+uqrAfjiiy948sknOXXqFACzZ8/mhx9+4OGHH+b5558nKSmJ/v3789ZbbxESEmK9Vv/+/fn888+5++67y1rUQghA13VSU1OJiYnBYCi6J0yVr5E5ffo0sbGx7s6GEEIIIUrh1KlT1KtXr8jHq3yNjOUX06lTpwgNDXXZeY1GI7/++isDBgzAx8fHZeetqqS8nCPl5RwpL+dIeTlHyss5riqvlJQUYmNjHWo+C1PlAxlLc1JoaKjLA5nAwEBCQ0PljV0CUl7OkfJyjpSXc6S8nCPl5RxXl9eVuoV49PDrmTNnommaw9a8eXN3Z0sIIYQQHsLja2RatWrFypUrrfe9vT0+y0IIIYSoIB4fFXh7exMdHe3ubAghhBDCA3l8IHP48GFiYmLw9/enW7duzJ49m/r16xeZPjs7m+zsbOt9y1BMo9GI0Wh0Wb4s53LlOasyKS/nSHk5R8orn6wsSEqC5GS0lBRITYX0dHVrNGLOyiJ+1y70ffswGY1gMqktN1fdms3qNisLTCY0s1kdM5tB1237Fy9i+PVX62XN3bpBbCxY+jRoWtH7JT2Wt6+X8px6ly7ot95qO1YK8v5yjqvKq6TP9+jh1z/99BNpaWk0a9aMhIQEZs2axT///MOePXuK7MU8c+ZMZs2aVeD4woULHea8EEKIyq7Ob7/R4Ndf8UlPxzszE5+0NHzT0vDKyXF31jzKXw88wImBA92dDeGkjIwM69xUxQ3W8ehAJr+kpCQaNGjAa6+9xvjx4wtNU1iNTGxsLImJiS4ftbRixQr69+8vvdhLQMrLOVJezqmO5aVt3oxX795oRXyE65oGoaEQFgbBwehBQRAcDH5+mLOzuXzhAjUiI9F8fdF1HWt9ha6jt20LXl7g5wfHj6MlJhaeiexsDGvXWu+abr4ZLSlJ1dpYtrxzouvoPXtCQIA6tm8f2tGjDo/bP0e/7jqVX4ADB9AOHbKltb81GNC7doXwcHXs5Em048fBYIDTpzEcO4Zerx65hw+r11QK1fH9VRauKq+UlBRq1qx5xUDG45uW7IWHh9O0aVOOHDlSZBo/Pz/8/PwKHPfx8SmXN2B5nbeqkvJyjpSXc6pVeb33nvriHjQI7rsPtm2DM2esTUjaxYtw4QKcPw9nzqDZV9MPH06tNWuKPvf//mcLOEaPhl9+KTrthQtQsyYAXg88AF9/XXTaBQugQQO1P3kyfPZZ0WnnzYOWLdX+9OmwaFHRaT/4ADp2VPtz5sAXXzg8rJ0+jc/atXD99UWfowSq1fvLBcpaXiV9bqUKZNLS0jh69KhMAS6EqN5yc2H5crU/axZ06qS++JctK/o5OTmQt7SEXr8+aTExBEVGovn5qeO+vqoGxtfXVtsB0L27um8wOG6apm7tfzj26gXe3rZ+Kvk3+y4BffoUnzYvOAKgb19r3h36wui6Kou6dW1pr7oKHnwQjEbYvh127FDHP/ywzIGM8EweHchMnjyZG264gQYNGnDmzBlmzJiBl5cXo0aNcnfWhBDCfXbsgLQ0FRh06KCODRkC9etD7doQFaW22rWhVi2IiAC7X7fm115jVb9+DB48+Mq/eu+/X20lcdttaiuJwYPVVhI9e6qtJAYMUBtAdraqATp3TgV5ycmqqU1UKR4dyJw+fZpRo0Zx8eJFatWqxTXXXMNvv/1GrVq13J01IYRwn9Wr1W1qKqxfr2pC7rvPrVnySH5+MGECPP+8GoW1di0MH+7uXAkX8+hAZlFxbaJCCFFdbdpk27/qKvflozIYPx42blRBzK+/SiBTBXn0EgVCCCEKsW+fuo2OlqaSK4mLg0cfVft2c96IqkMCGSGEqEx0Hf7+W+23a+fevFQWlk7IR47Yyk5UGRLICCFEZWKZewWgWzf35aMy0XWoV0/t2817I6oGCWSEEKIyOXHCtm8ZsSSKp2m2cluxwr15ES4ngYwQQlQme/bY9qWjb8mEhkJ8vNq37ygtqgQJZIQQojLZv1/d9u8PMTHuzUtl0ru3uj11Sg1bF1WGBDJCCFGZWEYs3X13mVZ0rnbsZ/XdutV9+RAu59HzyAghRJVkMkFWltrS0tR0+kajmm7faISMDHVrMqktN9f2nA0b1Dnat3frS6h0rr3Wtr92rVoiQVQJEsgIIYQrnTypFjH85x8VpFy4oG5TU9UU+ampkJlZtmuEhqo5ZETJ1a4NNWrApUuwciU8+6y7cyRcRAIZIYRwlUuX1JDoM2dK/hzLQo0+PrbN318d8/KyLdKo62A2w65dkJKiriXLtTjn6qtVELNnjypPaZqrEiSQEUIIV1m4UAUxMTHwr39BcDBERqrZd4OD1e2hQ3D5sqqlychQt8nJajMY4LPPbOcbNAh++cVxNWpQtTFNm1bsa6sKPvoIGjdWtWKnTqlFNkWlJ4GMEEK4ypdfqlsvL1iwQNWcBAXBwYO2NA88AJs3F/78gADHQMbLyxbEeHurQCgiAqZPl9qE0oiLgxYtVI3M1q0SyFQREsgIIYQrpKTAli1q/9Qp23E/P8dmjE6dVLNRjRoqMLFsoaHq1j7tRx+p27AwFeRI8FJ2nTqpQGbbNhg50t25ES4ggYwQQrjC77/bak9uuw3+7/9swYm9N94o+Tnr1HFZ9kSepCR1+/PPMHu2W7MiXEMCGSGEcIV582z7M2dC8+Zuy4oohiXYPHhQOvxWETIhnhBCuMK5c+rW11c64nqyAQPUbWYmnD7t3rwIl5BARgghXCEhQd0uWaJGHwnP1KOHbX/bNvflQ7iM/LcJIURZ5eaqYdUA7dq5Ny+ieC1bqhFgAL/+6t68CJeQQEYIIcpq9261hEBAAMTGujs3ojje3rZh15ZRZqJSk0BGCCHK6u+/1W1mJpw/7968iCvr2FHdHj7s3nwIl6hUgcxLL72EpmlMmjTJ3VkRQgibP/9UtwaDmslXeDbLStgZGba+TaLSqjSBzNatW/nggw9o27atu7MihBCOfvtN3daurdZKEp5t7Fg1wy/YglBRaVWKQCYtLY0777yTjz76iIiICHdnR4jqwWy2rQVkWbn51Cn44w81vfu5c5CVpfqG5F8LqLo5cEDdWr4chWfTNOjQQe1v3+7evIgyqxQT4j300EMMGTKEfv368fzzzxebNjs7m+zsbOv9lJQUAIxGI0aj0WV5spzLmXMeOgRr1hjYuROGDtUZPLj6fPiXpryqsxKVl67DqVNo587B2bNw6RLahQtqqvzUVLT0dBWAZGZCdjZkZaljRqNty8pSj5lMasvNtd5qTgYnekQE5uefxzxhQlleeqlU6Pvr3Dm0X37Ba84ctMOHMQ8ZguGffwAwde2KuRK8x+X/EQzt2uH1+eeYf/sN0xXKQcrLOa4qr5I+X9N1z/4ptWjRIl544QW2bt2Kv78/vXr1on379rxRxDTfM2fOZNasWQWOL1y4kMDAwHLOrY13WhqZ3x0l5+8UmmTuJ/DYaWpnnyaMFAyYWU0fdsx+huYtkiosT6LqMBiNdH32WWrt3u3urDgwe3mx9vXXSa2ii/GFHT1Kr3//u8jH17/0EpdlRt9KoeWCBTT57jty/f35cdEid2dHFCIjI4M77riD5ORkQkNDi0zn0YHMqVOn6NixIytWrLD2jblSIFNYjUxsbCyJiYnFFoSzjEYjK1asoH///vjkbxO/eBHT1d3wTzhe7Dk+j3+K2w7OdFmePFmx5SUKuFJ5GWbOxOvFFwHQ69VDj45WixBGRaGHhKg1foKCwN8f3WyG7Gy0nBxV45KVhT5wIISEoPv6Yli2DO3XX9HS0iAnR23Z2db93PXroUkTMBgwzJqF16uvFpt388CBmP73v/IoliJVyPvLbMa7TRu0Ika66D4+5F66pBaJ9HDy/wjal1/iPWYMAMYzZ6BmzSLTSnk5x1XllZKSQs2aNa8YyHh009L27ds5f/48V199tfWYyWRi/fr1vPPOO2RnZ+Pl5eXwHD8/P/wK+SDx8fEplzdgoed99118Eo5zkQgiuUwKIaRF1CewSxuO1uxM/R/ep1bSYQYc+5DzCc9St75X4Sevgsrr71BVFVpeug6WX5AjRqBdc40KQh5/HCy1js88A6+/DpcvF37if/0LGjZU+999p/q8FJMHLB8ioaFqHg5/f/WF7ecHXl4q6ImOhl27MPzyC4YjR9zSX6Rc318//WQbrtu/v+NkapGRaLfcgk9wcPlcu5xU6//Hvn2tuz5bt8KwYVd8SrUur1Ioa3mV9LkeHcj07duX3fmqzu+55x6aN2/OE088USCI8Qi6jv7ZZ2jAQ7zHxB8GEVY/jGeegR9+UP0ng7iX48QRRSLfvbiSG+cOdHeuRWVy4IBt3pKlS9UGcNdd0KiR2td1WxDj5QW1aqkaG8tmP4X+rbeq2WjDwtSEbv7+tkDF3x/q1rWlfeYZmDat8HzpOowYAcuWwcKF8NxzLnzRHmDBAtt+rVqOj+3aBTExFZsfUTZ166r3d1YWLF9eokBGeCaPDmRCQkJo3bq1w7GgoCAiIyMLHPcYBw+inTiBES/+x1Dm9Qnm2mttHeOvugrOnQvhyzN38DDvEPG/BSCBjHCG/XDRZs2gUyfVjOTrazv+4IMqsImKgoiI4tf+ueoqtZVEcSsFa5oKipYtg2++qXqBzPLl6rZ1a/jiC8fH7IM9UXk0bAj79tmGz4tKqVIMv65UFi7M29HI8QoiIEDV8F97LezdCzt2wI8/wmfcDUDXM99gTMl0X35F5bNxo21/+XL47DOYO9dxavy6dVXTTmRkxS5g2KiRCmj271dfEFXFmTNqBBjAffe5Ny/CdTp3VrdHj7o3H6JMKl0gs3bt2iI7+nqENWsAOEEDunXXSE9XQcy6dWqtMoD27WH8W+0xo+FPDsee/dR9+RWVz+bN6jYmxtbPxVNcvmybU2bJEvfmxZXs5xrp3t19+RCuNWSIuk1Lg6Qkt2ZFlF6lC2Q8Xl7fhd20ZsMGNfgDCtbI/9/DvlwKUNXRfks+r8gcispM122/Hu06wXuM/v1tHY4/+8y9eXGltWvVraappiVRNfTpo/rJgEyMV4lJIONqiYkA7KADdeqofpVFJm3XD4Co0zJFtiihs2fVr0dNU81Jnsbb2/Yr9+hROH3avflxFUu/pOjoSjG8WpRQjRoweLDa/+svt2ZFlJ4EMq6UkaGGoQLruI5WrYpP/sdVqq09wJxO9t4j5Z07URVYPmybN/fcDqa33mrbt3SQrewuXlS3L7zg3nwI15OlCio9CWRcads2AHTgDzpfcSDIkpNdyUaNNLkw851yzpyoEnbuVLft2rk3H8UZOFAN+Qb46iv35sUVcnPh4EG137One/MiXM/SRGvpeyYqHQlkXCnv17IRb7IJuGJTep++Gn/RHoCYb96Ge++FGTPg+HFZhE8U7ocf1G1eE6ZHCgmBrl3V/urVavK9F1+svO/r48dVZzd/f2jQwN25EeXl0qXK+f4U5TePzNGjR5k3bx5Hjx7lzTffJCoqip9++on69evT6kptLpVV3iyEO/OCE8vcZEXp0weeZAbLGYJBN8Mnn6gHnn1WfRk0aQLXXKOGOzVurEaoxMRIG311Zlll2X7OGE80erSqoczOhrffVseefhpq11bD9tq1U8PDGzVSwUHdurZaHE/zyy/qNiurYoeyi4px7bXq75qaCgkJMrFhJVQugcy6desYNGgQPXr0YP369bzwwgtERUWxc+dOPvnkE77++uvyuKz75f1K3omq9o+LKz55mzbwW/hgeiatpTdrmIXdYpepqWrSmR07Cj4xMlJ98NeurdYHqVlTzcoaHg7BwbbN11cFPYGBarPcDwhQtwaD+vKw3wwGxyFWll8oxU2EVo3ouhuLIivL1lejd283ZaKExo+H225TE+ONH287fu6cCgwswYGFtzfUqaM600ZHq/d4RIRaEiE83HZrmXU4IEC9p318rD8g/JKS1PDvgAD1Xvb2Lvw97ayJE2378n9Q9QQFQatWsHu3Wqpj+HB350g4qVwCmSeffJLnn3+exx57jJCQEOvxPn368M47VbgvyD//qBvq0qGD+lwujsGgamW+/bYnyW17MmuXCmRy8GYD13IVf1GDQtbKuXjR9oVWDkwYyNICMOFFqJ5iPZ5guHLnUr2YD/qOus6FvMd1rvyFUJI0+dMV9Qxrmiucsqhr1s89Zn36Sa+4vH0dDd22rzvex/6x/GnzP2at0rY91hudLHSy8+4H62nW/Ax4dQAH3y76dVzp+7a0jx875ni/VSsVL/j4qPhhwgS4+25UABEWBuPGOQYyhV1I11U/lFOn1FYKPsD1xSXw9/fcGh/hfp06qUDmjz8kkKmEyiWQ2b17NwutM9zaREVFkejJbftl9ccfgOoj07hxyWqh+/aFb79VS7VYmP0CeXPAav7+G3KOn6FV+u90Yist2Udr9rCYW9jAddTiAm3ZxWT+U+T5E6lBKqEEkIk/mYSSmvflWTQvzATp6QWO1zH/c+UXVA3UNx136/Wz8WXVuVaY3ZoLZe9ex/sbNqhW0REjinjCs8+qJqfdu+HECbX4GMD69arG8Nw5+OCDokc7aZpqYjWbVQ1VaipkZKADmrmYEsnKcvKViWqlUyf473+LXTxVeK5yCWTCw8NJSEggPj7e4fiff/5JXU8dMuoKhw4BEEIq0dEle8ro0fD113mjtjepY/5+qhb9mmug0ZgYGjS4kTp1bsTXF3JC4K5gGOOlfsgaTp0g+Qs/vM6dwZB8GUPSJQzJlzAkXcLr8kW0h/+N6YGnSNUh68Buwoe1LTIvF297kHP3z4DcXHxOHaXJuOuKTHu53y2cGzcVAEPyZZo+0LfItEnXDOHUvdP466+/uKpFc1r/X68i06Z07MPph+dY77cc06nItGltunHy329a7ze/7zoMOYV/YaU3vYpjT8y1NpU1f3QQ3qmFrwyd2aA5R5+ZZ73f9Mmb8L2YUGja7Jh4jr28GFB1KQ2fuBW/f/4uNG1OzTocfidvxWRNI/6p2wk8uqfQtLkh4Sx48B2u7tABbx8f4qfdSfCe39Vr6TWU314uunbhSv0Vy/L47t3wv/+ByQQjR0J8PBiNalu4UG0PPQT9+qnWzQLsF5zMyVFVPEeOqC8Sy8Rkx46pZtrLl9Vsq5cvqxobS+Z++EENPweYPh2ee67owPzXX6FtWxXIvP8+zJlTVEqVeUsn5U8/hZkzi04rqhbLUgXbtrm5/ViURrkEMrfffjtPPPEES5YsQdM0zGYzmzZtYvLkyYwePbo8LukZ8n71HaYJKWdK9pTgYDWwIz0dyPvg11GfqSZT4c/p2xdWrsy7U68BPSa/oFbVDoKgOhDcJK/7gLdOy/pmJjbOS1u3EQse/B0tIx0/Uwa+5OCtG/HRcjGYjXi1bknfXlEqbVIgO355idxMI14mIwbMaLoJg65uM9t1o/OovPHlKSkc//5+jNkmNN2Mhq46L+c1maS160HzO67m7/CzNOvbgXNfjcJoVK9UA9CwNqdktOpMy9Edra/10me3YMyxpLGUjrqT2bS9Q6BzeekoctOzQdPQNc16boCsuOa0HtfZmjZ59e3kXrI0m9nVUGmQUzeeluO6WmvUUrbcRtq5xLxUjg1DOTVjaHxbR7zz/pMu/34XySfOqA9CzZJpDQwaptAaNLmxtbWfbvLuMZw/cjLvQzPv1eU9L9fXn9AOobQe0QgfHx+SD47l/P7r0P38uXTL/xEYaHcJTfXHssQBly+rTdNs3UPst1q1bH2FMzLUe6+otIGBWF9bbq7qpzt6dOHp+/ZVa+/9/Td8+CE89ljh718rX1+16GWzZo7HH3lEbRa6rjKZkaH+x+zbbEePhq5dyU1N5c9t27iqTRu8NU3985hMajHMmjVV2pEj1SKalscsW26uuu3aVUVmYJskzWBQVaYyWVrV1qaN6jd4+bIKrJs0cXeOhDP0cpCdna3fe++9ure3t65pmu7j46MbDAb9rrvu0nNzc8vjkkVKTk7WAT05Odml583JydGXLl2q5+TkqANms66rj1y9Dyv0Ll1KcdKxY3Ud9JyZL+hffqnrzzyj63fcoetdu+p6TIyuBwaqS9x8s+0pZrOue3lZL11g69fP8RLh4UWn7dbNMW1MTNFp27Z1TNu4cdFpGzVyLK927YpOW6eO43m7dy86bViYY9p+/YpO6+3tmHb48KLTgq5nZ9vSjhpVfNrLl21p7723+LSnT9vSPvJI8WnffXeF9f311FPFp92xw3be558vPu3Gjba0r79efNpffrGl/fDD4tN++60tTWysrlv+NfQHHlAHn3lGLy8F/h9dadEilf/gYNef203Ktbwqqxde0PX//lfXL10q8JCUl3NcVV4l/f4ulxoZX19fPvroI6ZPn87u3btJS0vjqquuoklVjnKTk627f9OIlpGlOMcbb8CNN+IzYAC3+xeeJDvbOnmw1U8/qR+s+bfcXNsPTIvx422P2W+6XvBHyPXX26ZWMJsdv7byn7dHD1UrYHncPn3+1sR27VTH0PxfhWazqi2w17AhpKTY0oBtP3/TRd26apS6fRrLfv5+nrVqQf36hZ8XHGuWIyJUJYB9LUT+2giLyEhbOVjOaX9rn4+wsOIm59Xx8tKt90JCVB4s5Zr/1tvuP9nHR9WkFPa30PXCB6UVxdm0d9+tRlmfOgU//ww33IBqzrn+erUOU2V0663qTeDJkxCKsnvqKXfnQJRWmcKlIsyaNUtPT08vcDwjI0OfNWtWeVyySBVWI7Ntm66Dbgbdixx97FiXXq7Sk180zqnI8jKbdd1k0vXcXFWLkp2t61lZup6ZqY5ZZGfrenKyriclqVqoS5d0PTFR1y9c0PXz59VzdF3X//1vFTINH17uWbeS95dzpLycI+XlnIqukSmX2Z1mzZpFWlpageMZGRnMmjWrkGdUAXnjUnU0TPiUuLOvEO5mqWHy8lK1OZbphvKPWPb1VdO5WKYsiohQNVA1a6oaLj8/1Uf3/HmV/ocf1BqXQlQaO3bAm2+qqmhRaZRLIKPrOlohvb537txJjeKWg67MTpwAwIianEsmhxTV0Zo18NlnqqnLZFKjrYWoNO6+GyZNgo0b3Z0T4QSX9pGJiIhA0zQ0TaNp06YOwYzJZCItLY3777/flZf0HBERAOyjBaD6XwhR3dx4I9SrB6dPq/uyDp+oVHr0gH37VCAzbJi7cyNKyKWBzBtvvIGu64wbN45Zs2YRFhZmfczX15e4uDi6devmykt6jowMQHX0BYiNdWdmhHAPb281j8xUNcUQO3eq5aEs074I4dGuuQY++khqZCoZlwYyY8aMASA+Pp7u3bvjk7cGSrWQt2TARSLRNDV1uxDV0dix8MwztnmQvvpKLeouhMe75hp1u20bZGaq4ZXC47msj0xKim1NnquuuorMzExSUlIK3Urq/fffp23btoSGhhIaGkq3bt346aefXJVl1/rzTwC8yCU8XBaoFtVXdDQMHGi7v3jxlYduC+ER4uPVPAdGoyxXUIm4LJCJiIjgfN5whfDwcCIiIgpsluMlVa9ePV566SW2b9/Otm3b6NOnD8OHD2dv/gVePMEeNdV8DGcID3dvVoRwt7Fjbfv79qkpZNILLt8lhGfRNFutzIYN7s2LKDGXNS2tXr3aOiJpzZo1LjnnDTfc4HD/hRde4P333+e3336jlae13eT1kUkiQtanE9XeDTeoCRYvX1ZDsletUv3Gxo+HoUPVjPBVdQCjqOR69oQlS9RCpk8/7e7ciBJwWSDTs2fPQvddxWQysWTJEtLT0z2zw3Be9HKJCJmCQFR7/v5w8KBaPHL1anXs8mV49VW1gRroFxOjbsPC1Dw1BoPj5uVV8FhAQME1/cxmA8ePt2blSkOJVp0vi7feKnjsX/8q32u6mqvKKylJra9pMWSIGrUGBWe+Lq/7oILiceNwTW34TTep3undu7vgZKIiuLSzb2JiIunp6TRo0MB6bO/evbz66qukp6czYsQI7rjjDqfOuXv3brp160ZWVhbBwcF89913tGzZssj02dnZZGdnW+9b+uQYjUaMaqVCl7Ccy3LrnZODBlykJj4+OkZjrsuuVRXkLy9RvKpSXrruhaUF+5tvclm0yMBvv2mcOqVZF7d0DS/IGzHoDoUFN56tfMrrxx9dfsoSe/ttnXXrch3WFC2VmjXhuuvUfr7/w8r+/1hRXFVeJX2+puuu64Y3atQoYmJi+M9//gPA+fPnad68OTExMTRq1IiffvqJTz75hLvvvrvE58zJyeHkyZMkJyfz9ddf8/HHH7Nu3boig5mZM2cWOnvwwoULCQwMLN0LK4Ebbr4ZQ24uD/MmC0L+j88++7ncriVEZTFtWnd271YLaLVocZFevU7Rpk0iERFZnD8fSFKSP+np3qSn+2A2a5jNGrqu5e2Drmt560Vp1s1oLOcqlyv49dc4kpMde/PfcstBN+XGvdLTfVi+vKH1/uDBfxMWpn5IWv52FsXd1/W81d91SpTG/r7ZrPHHH9FcvBhAu3bnmTlzS4EaO1E5ZWRkcMcdd5CcnExoaGiR6VwayMTHxzN//nxr09Krr77K3LlzOXDgAN7e3rz66qt8/fXX/Pbbb6W+Rr9+/WjUqBEffPBBoY8XViMTGxtLYmJisQXhLKPRyIoVK+jfvz8+Pj54+/ujmc3cxpdsjLmN48elRsZe/vISxasq5TVwoBdr1hQMPAIDdRo2hHr1dF5/3USjvMqB1as11q7V8PHBYbM0f9xyi5natdX+n3/C77+rB8xmEwcO7KdFixZ4e3uhaTpDhujWX+f79sHvv2sFmiYs+vbVrQt4Hjmi0tqnsb/t0UO3zhN18iT89lvRaTt21LFUUCck2M6b//oAbdvq1sVYL1yAzZuL/jZu1Uq3LpB66RKsX1902ubNdes8PsnJsGaNhslkYufOnbRr1w4vu3UoGjfWad1a7aelwcqVRZ83Pl63rqOZlQUrVhT+2jRN/Z0taXNzHc+bP23t2ra0uq7eE/bNSvaLttaoodOyJRw6BB07epOVpfHpp7ncfnsZv9ZOnsTw1ltoly9j+uSTKvP/WFFcVV4pKSnUrFnzioGMSxeN9Pf3148fP269P2jQIP3xxx+33j948KBeo0aNMl2jd+/e+pgxY0qcvkIWjTSbrYsLX8N6vXFjl16qSpBF15xTVcqrf3/butuzZ+v6ddfpuq+v47rnBw7Y0j/zTP410R23bdtsaV98sfi069fb0r75ZvFpf/rJlvbjj4tP+803trRffll82k8/taX9/vvi077/vi3typXFp331VVvaLVuKT/vss7a0u3YVn/aJJ2xpjxwpPu3DD9vSJiQUn3bcOFva5OTi0952my1tbm7xaYcOtaV99ll1LC5OLX5aJsePq5N5eel6cnKV+X+sKBW9aKRL+8iEhoaSlJRk7SPzxx9/MH78eOvjmqY51JZcydSpUxk0aBD169cnNTWVhQsXsnbtWn755RdXZrvs7IYpHaAZdYPcmBch7JhMJre267/xhlq+ZsIENSR70iTIyYF//lHLGJw/r7okWP6FevRQA0Vycx03s1k9HhZmS9u6Ndx3H3lNT2YSExOJjKyJpqlamogIW9omTdT1bc0Sjrf2eahfH+68s+i0UVG2tNHRcMstjq/Zvo67Th1b2shItYRDUXXgdeva0oaFwYgRtvNduuSLyWSr2bJfyy04uPh+qZbOtwCBgaqMdd3M5cuX85aVsZ3Xrnsj/v4qbX6W/Ftqj0DVmnXtWnSZxcXZ0hoM0KFD0Wnt8wDq71xUKGOpRQO45x7Vkfz4cfjySxg9usgiubIGDaBRIzh6VA3DHjCgDCcT5c2lgUzXrl156623+Oijj/j2229JTU2lT58+1scPHTpErBNz958/f57Ro0eTkJBAWFgYbdu25ZdffqF///6uzHbZ2a30fYlImkogI9xM13XOnj1LUlKSW/OhafD552o/b4F4q3r11GZZLRvU90f+LzJ7RqPtPI0bq8AI1OvNzMwkICDNYY03S9q4OJgypfi8WtLWq3flUbeWtLVrQyFd8gpNW6MGvPBCydIGBcGLL9qOGwwG4uPj8fX1LfCc1q1h06biz2vRqJGafd9oNLF8+UYGDx6Mj0/hfY7q1i35TP2RkbBlS8nSBgeriXNLwssLdu++crqEBBVIWT6KX3xRBaP2q7c7rU8fFcisWiWBjIdzaSDz3HPP0bdvXz7//HNyc3N56qmnHCbAW7RokVNDsz/55BNXZq/85P33ZHkFYjZ50bu3m/Mjqj1LEBMVFUVgYGChq9FXJWazmbS0NIKDgzGU9/jrCmY2mzlz5gwJCQnUr1+/yv8tSyM6WtXyLFumaocOHoSlS2HkyDKctF8/te7SL7/AnDmuyqooBy4NZNq2bcv+/fvZtGkT0dHRdOnSxeHx22+/vdih05XWiRMAmDRVnGUe/idEGZhMJmsQExkZ6e7sVAiz2UxOTg7+/v5VLpABqFWrFmfOnCE3N1c6mxZC0+CVV2D5cuuIad54o4yBTP/+qh1s3z7rZ7zwTC7/j69ZsybDhw8vEMQADBkyhHj7htWq4tAhAPxManbfIGlaEm5k6RNTntMNiIplaVIyWVbiFAU0bar6YoEKbDZuLHkTVqEiIqydjww/y3Qanqzq/XRxh7yVr3PzKrjy7grhVtIEUXXI37JkpkxR/WIsHYfffLOMJxwyRPWslgDSo0kg4wp5axLk6D72d4UQQlSguDiwnzz+q69UR+BSe/RROH0a84MPljVrohxJIOMKefOsZ6Nm+wwLc2dmhKi6Zs6cSfv27T3mPMLzPPkkeHtDrVqqv8z775fhZH5+BWcuFB5HAhlXSE4GIAt/wEULlwlRzdxwww1cf/31hT62YcMGNE3jpptuYtWqVdbjY8eOZYRlwpUymDlzJpqmoWka3t7e1KxZk+uuu4433nijwNxXvXr1sqbVNI3atWtzyy23cEI6hHqEli3VPEXvvqvuz53rMNVX6ZhMBFy4UOa8ifJRLoGMl5cX5+0nh8hz8eJFh+mwqwzL8Ou8QMZuxLkQooTGjx/PihUrOH36dIHH5s2bR8eOHWnbtm25jcRq1aoVCQkJnDx5kjVr1nDLLbcwe/ZsunfvTmpqqkPaCRMmkJCQwJkzZ/j+++85deoUd911V7nkSzgvKkpNPhgbq5Z7WLiwDCfbsQPv2Fh6PP100bMZCrcql0BGL+KPnZ2dXeiETpVeXiCTSQAggYwQpTF06FBq1arF/PnzHY6npaWxZMkSxo8f79AkNHPmTBYsWMD333+Pl5cXERERrF27FoAnnniCpk2bEhgYSMOGDZk2bdoVZzj29vYmOjqamJgY2rRpw8MPP8y6devYs2cPc/LNIxIYGEh0dDR16tSha9euTJw4kR07driqKIQLeHvDbbep/ddfL0MM0qwZpKcTdP48/PWXq7InXMil88i8lbeWvaZpfPzxxwQHB1sfM5lMrF+/nuaW1cuqkqZNYeNGtnM1IIGM8Dy6DhkZ7rl2YGDJuhl4e3szevRo5s+fz9NPP20dqbNkyRJMJhOjRo3i9ddft6afPHky+/fvJyUlhU8++YTU1FTr8ighISHMnz+fmJgYdu/ezYQJEwgJCWHKlab3zad58+YMGjSIb7/9lueff77QNJcuXWLx4sWFTjkh3GfbNvjPf9T+nj2wYkUpJ+gNCkIfOBBt6VIM334LnTu7NJ+i7FwayFg+ZHRdZ+7cuQ7NSL6+vsTFxTF37lxXXtIz5E1QdRw1R44EMsLTZGSoqeHdIS2t5HMrjRs3jldeeYV169bRq1cvQDUrjRw5krB8veiDg4MJCAggOzub6OhoAgMDrTW+zzzzjDVdXFwckydPZtGiRU4HMqCCmV9//dXh2HvvvcfHH3+MrutkZGTQtGlTz1sDrpq7+mrVX2bvXnX/lVdKv9KA+aabMFgCmdmzpQOwh3Fp09KxY8c4duwYPXv2ZOfOndb7x44d4+DBg/zyyy9V81dLejoAaahvCpnZV4jSad68Od27d+e///0vAEeOHGHDhg0Oi8+WxFdffUWPHj2Ijo4mODiYZ555hpMnT5YqT7quF5jH5c477+Svv/5i586dbNy4kcaNGzNgwIACfWmE+xgMjutrrVwJf/5ZunPpgwdj8vZGO3zYFhkJj1EufWTWrFnjsMZSlXf0KAD+ZGIwqFVjhfAkgYGqZsQdm7MTDI8fP55vvvmG1NRU5s2bR6NGjZxao23Lli3ceeedDB48mB9++IE///yTp59+mpycHCdLTdm/f3+BGcnDwsJo3LgxjRs3pkePHnzyySccPnyYr776qlTXEOVj1CjV4dfipZdKeaLQUC5Yhut//XVZsyVcrFwCmZEjRxboHAfw8ssvc0v+Ne+rgoMHAajHP/j7S62j8Dyappp33LE5+/9w6623YjAYWLhwIZ9++injxo0rcmZbX1/fAtP2b968mQYNGvD000/TsWNHmjRpUuqh0QcOHODnn39m5BUW7bE0o2dmZpbqOqJ8+PjAY4/Z7i9eDAcOlO5cZ7p1UzsSyHiccglk1q9fz+DBgwscHzRoEOvXry+PS7pX3miIZELdnBEhKr/g4GBuu+02pk6dSkJCAmPHji0ybVxcHLt27eLgwYNcvHgRo9FIkyZNOHnyJIsWLeLo0aO89dZbfPfdd1e8bm5uLmfPnuXMmTPs3r2bt99+m549e9K+fXsef/xxh7QZGRmcPXuWs2fPsnPnTh544AH8/f0ZUNpOGKLc3HuvY7/FF18s3XnOdumC6ZFH4LPPXJMx4TLlEsikpaUVOszax8eHlJSU8rike+UFMimEln3iJSEE48eP5/LlywwcOJCYmJgi002YMIFmzZrRuXNnGjduzKZNmxg2bBiPPvooEydOpH379mzevJlp06Zd8Zp79+6lTp061K9fn169erF48WKmTp3Khg0bHEZgAnz00UfUqVOHOnXq0Lt3bxITE1m+fDnNmjUr82sXrhUcDBMn2mZc/+IL2L/f+fMYg4Mxv/IKXHWVazMoyk4vB506ddJnzZpV4PiMGTP0q6++ujwuWaTk5GQd0JOTk1163pycHH3p0qV6Tk6Orvv46DroD/CO7u3t0stUGQ7lJa6oLOWVmZmp79u3T8/MzCyHnHkmk8mkX758WTeZTO7OSrlw9d+0uv0/Jifrelqaro8Yoeug6zfe6Nzzq1t5lZWryquk398uHX5tMW3aNG666SaOHj1Knz59AFi1ahVffvklS5YsKY9LupfZDEAyYVTFiYuFEKIyC81r9X/xRVi2DL77DjZvhu7dS3GyDRvg449h7Fjo3duV2RSlVC5NSzfccANLly7lyJEjPPjgg/z73//m9OnTrFy50iXronicvEAmhVC8yyU0FEIIUVbNm0Pfvmr/iSdKOdvvokXw6aeQN0WAcL9yWzRyyJAhbNq0ifT0dBITE1m9erVTQygrlbz/hstESCAjhBAeat48NcOvpsHGjfDDD6U4yd13q9tvvwWZN8gjlFsgk5SUxMcff8xTTz3FpUuXANixYwf//PNPeV3SPexC+n+oK4GMEEJ4qNtug+ho28f2k09ax2qUXJcuav2ljAzVc1i4XbkEMrt27aJp06bMmTOHV155haSkJAC+/fZbpk6dWuLzzJ49m06dOhESEkJUVBQjRozgYN6cLR4jO9u6e4lICWSEEMJDBQXBc8+pfU2Dffsgb4nAktM0uP9+tT93rqyI7QHKJZB57LHHGDt2LIcPH8bfbprbwYMHOzWPzLp163jooYf47bffWLFiBUajkQEDBpCetySAR7CbACuTANq0cWNehBBCFGvcOLXuoyX+mDwZDh928iRjxqgp3HfuhN9+c3kehXPKJZDZunUr//d//1fgeN26dTl79myJz/Pzzz8zduxYWrVqRbt27Zg/fz4nT55k+/btrsxu2SQmAmBGw4gPtWq5OT9CCCGKZDDAe+85zjjdtKmTFSsREXD77Wr//fddmj/hvHJpCPHz8yt04rtDhw5Rqwzf9MnJyQDUqFGjyDTZ2dlk2zX3WPJhNBoxOt0YWjTLuUxHjuADaOiAhq+vGaPRVOxzqyNLebnyb1CVlaW8jEYjuq5jNpsx542oq+r0vG8hy+uuasxmM7quYzQarcshlEV1/39s2xbuu8/ABx/YyvLTT3O5447Co5nCykubMAGv9esxX3UV5mpajkVx1furpM/XdN31DXz33nsvFy9eZPHixdSoUYNdu3bh5eXFiBEjuO6663jjjTecPqfZbGbYsGEkJSWxcePGItPNnDmTWbNmFTi+cOFCAp1dva4E6q1ZQ4c338SMAS9MdO58hqee2ury6whRUt7e3kRHRxMbG1voDNui8snJyeHUqVOcPXuW3Nxcd2enSkhP9+bOO4dY74eEZPP++ysJDi5h+aq59VQVjygXGRkZ3HHHHSQnJxMaWvQSQOUSyCQnJ3PzzTezbds2UlNTiYmJ4ezZs3Tr1o3ly5cTFBTk9DkfeOABfvrpJzZu3Ei9evWKTFdYjUxsbCyJiYnFFoSzjEYjK1as4Pp9+/B76ilA1cp06GBmyxapkcnPUl79+/fHx8fH3dnxeGUpr6ysLE6dOkVcXJxDH7WqwsvLi2+++cZhTipd10lNTSUkJKTIBSad1bBhQx555BEeeeQRl5yvLLKysjh+/DixsbEu+ZvK/6Pi62t77V98kcvNN+uFLnIq5eUcV5VXSkoKNWvWvGIgUy5NS2FhYaxYsYJNmzaxc+dO0tLSuPrqq+nXr1+pzjdx4kR++OEH1q9fX2wQA6pZy8/Pr8BxHx+fcnkDeucFTdmaP+jg72/Ax0ci9KKU19+hqipNeZlMJjRNw2AwYKiEvxYvXLjA9OnT+fHHHzl37hwRERG0a9eO6dOn06NHDxISEoiIiHB4bZbmJMvrdhVnzjd//nwmTZpkHaXpSgaDAU3TXP7/I/+PNu3be5OYCMUs7VV4eRmNapK8oCC46abyzWQlU9b3V0mf67JApkaNGhw6dIiaNWsybtw43nzzTXr06EGPHj1KfU5d13n44Yf57rvvWLt2LfHx8a7KruvkjaAy5hVlITGUEMIJI0eOJCcnhwULFtCwYUPOnTvHqlWruHjxIgDR0dFuzmH5sg9ERcXp3Bnat4c1a8Cp795PPoEHHoDGjWH4cGSdmornsv+UnJwca8faBQsWkOWCZaAfeughPv/8cxYuXEhISAhnz57l7NmzZNoNeXa7vLyYNBXIBAS4MzNCFC89vegt/79scWnz/wsWlc5ZSUlJbNiwgTlz5tC7d28aNGhA586dmTp1KsOGDQNULcnSpUsBOH78OJqmsXjxYgYNGkRQUBCdOnXi0KFDbN26lY4dOxIcHMygQYO4cOGC9Tq9evVi0qRJDtceMWIEY8eOLTJvr732Gm3atCEoKIjY2FgefPBB0tLSAFi7di333HMPycnJaJqGpmnMnDkTgMuXLzN69GgiIiIIDAxk0KBBHLYb7zt//nzCw8NZtmwZLVu2xM/Pj5MnTzpfeMJpTz+tbm+/XcUfmzap4dhOuesuNYrpyBG1iJOocC6rkenWrRsjRoygQ4cO6LrOv/71LwKK+Fb/bwnXqHg/b1hbr169HI7Pmzev2A+cCpX3iZ6bV5RVsEuCqEKCg4t+bPBg+PFH2/2oKDV5aWF69oS1a2334+KsMxE4cLYHXnBwMMHBwSxdupSuXbsW2kxcmFmzZvH888/TvHlz7r33Xu644w5CQkJ48803CQwM5NZbb2X69OnWz5TSMBgMvPXWW8THx/P333/z4IMPMmXKFN577z26d+/OG2+8wfTp062TdgbnFbZlTq1ly5YRGhrKE088weDBg9m3b5+16jwjI4M5c+bw8ccfExkZSVRUVKnzKUru2WfhllugdWu1XMGIEWqCvEaN4F//KuFJgoNh4kQ1096sWap5SWrTKpTLSvvzzz9n8ODB1l8oycnJXL58udCtpHRdL3TzmCAGoEEDAI56NQWkRkaIsvD29mb+/PksWLCA8PBwevTowVNPPcWuXbuKfd5jjz1G3759adGiBY888gjbt29n2rRp9OjRg6uuuorx48ezZs2aMuVt0qRJ9O7dm7i4OPr06cPzzz/P4sWLAfD19SUsLAxN04iOjiY6Oprg4GBrAPPxxx9z7bXX0q5dO7744gv++ecfa60SqM6RloCoWbNm5TLCUhRkMEC7dqo2ZvhweOEFdXzSJPjmGydO9OijEBYGe/ZA3ntCVByX1cjUrl2bl156CYD4+Hg+++wzIiMjXXV6zxUSAsA/WiwggYzwbHm/MwqVv2n//Pmi0+b/wXn8eKmzVMDIkSMZMmQIGzZs4LfffuOnn37i5Zdf5uOPPy7yR0zbtm2t+7Vr1wagjd0027Vr1+Z8cS+oBFauXMns2bM5cOAAKSkp5ObmkpWVRUZGRpGBx/79+/H29qZLly7WY5GRkTRr1oz9+/dbj/n6+jq8BuEeU6fCqVNq5YE771SVLQMHluCJERHw73/D9OkwYwbcfDOyXk3FcVmNTI0aNUjMq1vu3bt39Zm/Iq9jgW+IqgJv396NeRHiCoKCit7yN4sWlzZ/wF5UutLy9/enf//+TJs2jc2bNzN27FhmzJhRZHr70Q2W4df5j9lPlGcwGMg/80Rxk28dP36coUOH0rZtW7755hu2b9/Ou+++C6j+gWUVEBDgsmHjovQ0Dd55B268US2jt3ChE09+5BGIjIRDh+Dzz8stj6Igj+7sWymcPg1AAKozQRUfUCGEW7Rs2dKla6zVqlWLhIQE632TycSePXuKTL99+3bMZvP/t3ff8VFW6QLHf5NOmBRIICG00BRpoQSQsJdeDIpgAUQgobqwwIKIIivNa6G4lBVRvLoSdOEKqEREFGOki0AIqPRiKFd6gPQymTn3jzcZMpCEhJlkksnz/Xzmk8w7Z+Y982TKk1NZvHgxjz76KA899BCXLl2yKOPm5obRaLmG1COPPEJOTg779u0zH0tMTOTkyZM0a9bMRs9G2JKzszabeskSbUJSsXl7w4wZEBamLR0syky5HuxbEegOHwagTvopACpLQ5QQpSExMZFBgwYxevRoWrVqhZeXF3FxcSxatIgBAwbY7Dw9evRg2rRpfPvttzRq1IglS5YUuf5L48aNMRgMLF++nP79+7Nnzx5WrlxpUSY4OJjU1FRiY2MJCQnB09OTJk2aMGDAAMaNG8eHH36Il5cXr776KrVr17bp8xG25eamDXvJk5MDP/9ci/Dw+9xx6lRt2pO0rpWpUhnsq9PpbDLYt0LIXRAvPUfrWipgiykhRDHp9Xo6duzI0qVL6dKlCy1atGD27NmMGzeO9957z2bnGT16NJGRkURERNC1a1caNmxI9+7dCy0fEhLCkiVLWLhwIS1atGDNmjXMnz/fokxYWBjjx49nyJAh1KhRg0WLFgHaLMt27drxxBNP0KlTJ5RSbNmyRRaiqyCUgpdecmLRog5MmuREvoXj7+XqapnE2H7hfFEQVQqCg4PVjRs3SuOhSywpKUkBKikpyaaPm52draKjo5WxZUulQO3iLwqUeu89m57GYeTFKzs7295VqRCsiVdGRoY6duyYysjIKIWalU9Go1HdunVLGY1Ge1elVNj6byrvx+IzmZR6550cpdOZFCjVrp1SZ87c505JSUq98opSkZFlUcVyx1avr+J+f5fKZPeEhITKMWMJIHegXxZai4zMmhRCCMeh08GUKSZee+0X/PwUBw9C27awZk0RDS5nz8I778Dq1fDjj2Va38rIpolMv379SEpKMl9fsGCBRb9zYmKiww1w0+UmMhloUz4kkRFCCMcTGnqN/ftz6NxZG0IwfDj07w93jfnWtGkDEydqv7/wwoMtcy2KzaaJzNatWy12nn777be5efOm+XpOTo551UuHkTtlMwNtYLMkMkII4Zjq1tX2YnrjDW1A8M6dcNdEtTveflu7Q0KCtr6MKDU2TWTUXe1sd193SOZERmuRKWoJeCGEEBWbqyvMmgWHDsFnn2m5Sp5du/J1N3l5wYcfar8vWwb5puAL25INIayk6tQB4DiPANYtAiaEEKJiaNZM29Ygz9at0KULdOqk7dukFBAervVBmUzaz5QUu9XXkdk0kcnb9fXuYw7N2xuAczQAJJERQojKKCFBW/F63z5t7EzbtrBhA+QseVdrtrl2TduLSdicTTeDULkbOubtWJuZmcn48eOpmvvtnlXkBPwKKncF4+zcWUs+PvasjBBCCHsYP17b2mDxYnj/fTh8GAYPhjp1qvF6/68Y8aI/rk2C7V1Nh2TTFpnIyEhq1qyJj48PPj4+DB8+nKCgIPP1mjVrEhERYctT2l9iIgDOaGNlZNNIIYSonAICYNEibRPV2bOhRg1tF5tlu0NxaRxsLqdMlWD8aBmyaYvMqlWrbPlwFYIud9vfILR9W2SLAiFKz7x584iOjuZw7tYg9n4cIQri7w///d/wj39o3Us+PncW/E3b+AOnhs7hy7Hf8+xYX0JCZEcDa8lgX2vl7qibitZ9JquOC/Fg+vfvz2OPPVbgbbt27UKn0/H0008TGxtrPj5y5EgGDhxo9bnnzZtnHuPn4uKCv78/Xbp0YdmyZfd0iXfr1s1cVqfTERAQwKBBgzh//rzV9RCOxcMDRoyAJ5/MPZCdjemv42mTtY9OK4bRro2Rxo3h5Zfh55/NXyeihCSRsVbuKy9NEhkhrDJmzBhiYmL4v9wd5fNbtWoVoaGhtGrVqtRWDW/evDmXL1/mwoULbNu2jUGDBjF//nzCwsJIuWu2ybhx47h8+TKXLl3i66+/5uLFiwwfPrxU6iUciJsbHt98gdHNg8fZwmLnGfzxB/zzn9C5M9SuDTt22LuSFY8kMtbKXTQgFW0BGWdne1ZGiIrriSeeoEaNGkRFRVkcT01NZcOGDYwZM4Z58+bRunVrQGtFWb16NV9//TXOzs5Uq1aN7du3AzBjxgweeughPD09adiwIbNnz8aQu+ZTYVxcXAgMDCQoKIiWLVsyefJkduzYwZEjR1i4cKFFWU9PTwIDA6lVqxaPPvookyZNIj4+3lahEA7MtWNbnKM+AWCqcTGHI5bw/PPaBNgrV6Bx4ztlv/gC3noL4uKktaYokshYKzeRScFL+jlF+aWUtky6PS7FXBjTxcWFiIgIoqKiLBbT3LBhA0ajkaFDh1qUnz59OoMHD+axxx7jzz//5MSJE4SFhQHg5eVFVFQUx44d41//+hcfffQRS5cuLXHYmjZtSnh4OF999VWhZW7evMn69evp2LFjiR9fVFJDh0Juchzy6UuseXwt167B7t1aq0yejz/WFt9r3x5q1tRmRS1dCvHxRawoXAmV+0Rm586d9O/fn6CgIHQ6HdHR0fau0h1KkZe7SCIjyrX0dG3ZaXtc0tOLXc3Ro0dz9uxZduRrX1+1ahXPPPMMPnetbaDX66lSpQru7u4EBgYSEBCAW+5o+1mzZhEWFkZwcDD9+/dn+vTprF+//oFC17RpU87lDurP8/7776PX66latSp+fn6cPHmSTz755IEeX1RSL78MU6Zov48cifuRg3TubFlk8GBt0T0vL22CbHQ0TJsG7dpBnTqWrTSVucWm3CcyaWlphISEsGLFCntX5R5O+Zqqk/GWREYIKzVt2pSwsDBzUnDmzBl27drFmDFjSvQ469ato3PnzgQGBqLX65k1axYXLlx4oDoppe5Z2HPYsGEcPnyYX3/9ld27d9O4cWP69Olzz1gaIQql08GSJVrrzHPPQW6XaX6jR2vJS2Ii7N0LCxZAv35aN1Tz5uCU7xu8VSut5WbSJG3rhFOnit0YWuHZdPp1aQgPDyc8PNze1ShYvhT4Nr6SyIjyy9MTUlPtd+4SGDNmDJMnT2bFihWsWrWKRo0a0bVr12Lff+/evQwbNozXX3+dvn374uPjw+eff87ixYtLWnMAjh8/ToMGDSyO+fj40Dh3MEPjxo3597//Ta1atVi3bh1jx459oPOISsjJCT79VEtqihhg6eoKjz6qXWbM0LqVcpcwA+DWLTh6VPs9Lg7y/u+vVg06dNC6pP7611J8HnZW7hOZ8kyXL91NQ2+RHQtRruh0FWb/jMGDBzNlyhTWrl3Lp59+yoQJEwrd6sTNzQ3jXYMFfv75Z+rXr89rr71mPvagU6NPnDjB999/z8yZM4ss55z7JZSRkfFA5xGVmEu+r2GjEcaOhe7doYjFY52dtTEzeXx9tS0S9u27c4mP1xKcrVu1bqi8RCYrS+uuCgmBNm20S5MmVOjvL4dLZLKysizWfUhOTgbAYDDcd9ZCSRgMBouupSzcCfRXGAw5NjuHI8mLvS3/Bo7MmngZDAaUUphMJkwVsOPc09OTwYMHM3PmTJKTk4mIiDA/j7xBwHnX69evz9atWzlx4gTu7u54eHjQqFEjLly4wNq1a2nfvj1btmxh48aNFve7+3GUUuTk5HDp0iVMJhOJiYns2LGDt956i9atW/PSSy9ZxDItLY1Lly4BcPXqVd588008PDzo1atXqcTcZDKhlMJgMJiTJmvI+7Fkyipeun//G5eoKIiKwnjxIqaXXy72anm1a8PTT2sXgOxs+P13Hfv362jWTGEwaK/5X3+FrVtd2br1zn31ekWrVorWrRVPPaXo2tW6Pilbxau493e4RGb+/Pm8/vrr9xz/4Ycf8CxhE/f9VM1tqjfpnDApZ1xcktmyZZtNz+FoYmJi7F2FCuVB4pU3jTg1NZXs7OxSqFXpGzJkCJ988gm9e/dGr9eb/yHJysrCaDSarw8ZMoTY2Fg6duxIamoq33zzDd26dWPChAlMnjyZ7OxsevfuzfTp01mwYEGhj5OVlcXRo0epXbs2zs7OeHt78/DDDzN16lRGjx6NyWQyl83JyeHjjz/m448/BsDX15fmzZuzfv16atWqZS5nS9nZ2WRkZLBz505ycmz3z5K8H0um1OMVEECzgQNpEh2N86xZXNizh9/HjkVZkbzWr69NHtyyRbt++7YbEybUIiHBhz/+8OHcOR9SU535+WcdP/8MqalHSUs7A8Dly1X5+OMW1KuXQr16ydSvn0KdOim4uRUvWbc2XunFnCigU6riDAfS6XRs3LixyJU8C2qRqVu3Ljdu3MA7d6dqWzAYDBxesICwN95AAU5o2ez+/dIiUxCDwUBMTAy9e/fGVVYNvC9r4pWZmcnFixcJDg7Gw8OjlGpYviilSElJwcvLq9BuqIosMzOTc+fOUbduXZv8TeX9WDJlHS+n5ctxmj4dnVKYunXDuGaNtnFTKcjJgZMn4fBhHb/9puPZZxXt22tpwRdf6Hj+ecv2DicnRePG0Ly5YuJEE1263JtC2CpeycnJ+Pv7k5SUVOT3t8O1yLi7u5t3387P1dXV5i9Al7z/dnU6UJCdrZMPhfsojb+DI3uQeBmNRnQ6HU5OTjhV5I7vEsjrzsl73o7GyckJnU5n8/ePvB9LpsziNW0aNGgAERE4bd+O06OPwsaN2rxrG3N11SZMFTBpikcf1XbyPnJEu/z+O9y6pePUKTh1Ssfw4U5FrmZvbbyKe99yn8ikpqZy5swZ8/WEhAQOHz5M9erVqVevnh1rBk6ZmQDkrSZz9ao9ayOEEMJhPPWUNmp34EB4wKUDrNWgAUyYcOe6Utrqw3mJTYcOdqnWPcp9IhMXF0f37t3N16dNmwZAZGTkPUuZlzXn3BYZU+5yPLI9gRBCCJtp1gwOHNAu+VtjsrKggJ6H0qbTQa1a2qV37zI/faHKfRtst27dUErdc7F3EgN3upaUTgujS7lPC4UQQlQoPj7Qq9ed6/v3Q8OGUMS2GZVNuU9kyjOnvEQGSWSEEEKUgYUL4dIleOYZrdupgN3iKxtJZKwgXUtCCCHK1Nq18Npr2n/OX3+tdT8tX65NP6qkJJGxQoafHwC33fwBihy9LYQQQljN3R3efBMOHdKmFaWkwN//ri3V+9NP9q6dXUgiY4VsX18AbrrWAqRrSQghRBlp0QL27NHmR/v5wbFj8Oef9q6VXUgiYwVdblOem15rinnoIXvWRgghRKXi5KTNjz5zBv75Txg27M5tW7Zo+xFUApLIWMEtKQkAV2dtMa6gIHvWRojKQafTER0dXernCQ4OZtmyZaV+HiGs5usLL710Z+fHjAxt88nWrbXNl+Lj7Vm7UieJjBX8jx0DoNqtBADc3OxZGyEcw/Xr15kwYQL16tXD3d2dwMBA+vbty549ewC4fPky4eHhdq7lvaKiovDN7W4Wwq5SUqBLF23hl7wVgbt21X6/a7d4RyCJjBXydr/OVtrgmLQ0e9ZGCMfwzDPPcOjQIVavXs2pU6fYtGkT3bp1IzExEYDAwMACtyFxFEajsULuWi7KkZo14fPPteV3n39eG8C5c6fWOtOkCWxzrM2NJZGxQl4ik56tJTIJCfasjRAV3+3bt9m1axcLFy6ke/fu1K9fnw4dOjBz5kyefPJJwLJr6dy5c+h0OtavX094eDhVq1alffv2nDp1igMHDhAaGoperyc8PJzr16+bz9OtWzemTp1qce6BAwcycuTIQuu2ZMkSWrZsSdWqValbty5/+9vfSE1NBWD79u2MGjWKpKQkdDodOp2OefPmAXDr1i0iIiKoVq0anp6ehIeHc/r0afPj5rXkbNq0iWbNmuHu7s4FOy1JLxxMs2awZo325TRzJlSvrv3u73+nzM2bFb6VRhIZKzjlDvbNyd3pwYH/SRSOIi2t8Evu3mHFKpuRUbyyJaTX69Hr9URHR1vsYn8/r7/+OtOnTycuLg4XFxeef/55XnnlFf71r3+xa9cuzpw5w5w5c0pcn/ycnJx49913OXr0KKtXr+ann37ilVdeASAsLIxly5bh7e3N5cuXuXz5MtOnTwdg5MiRxMXFsWnTJvbu3YtSin79+mHI/UcIID09nYULF/Lxxx9z9OhRatasaVVdhbBQpw68/TZcvAjr10PLlndumzIF6teHV17RtkJQ9+5mXd7JhGEr5CUyBrRZS7KOjCj39PrCb+vXD7799s71mjUhPb3gsl27wvbtd64HB8ONG/eWK+GHoouLC1FRUYwbN46VK1fStm1bunbtynPPPUerVq0Kvd+0adPo2bMn3t7eTJkyhaFDhxIbG0vnzp0BGDNmjNXbmuRvwQkODubNN99k/PjxvP/++7i5ueHj44NOpyMwMNBc7vTp02zatIk9e/YQFhYGwJo1a6hbty7R0dEMGjQIAIPBwPvvv09ISIhVdRSiSJ6ekPuaA8Bg0N7Hf/4J77yjXYKDtTKDB2tja3Q6e9W22KRFxgrmMTJoTTHSIiOE9Z555hkuXbrEpk2beOyxx9i+fTtt27YtMhHJn+QEBAQA0DLff50BAQFcu3bNqnr9+OOP9OzZk9q1a+Pl5cWIESNITEwkvbBkDzh+/DguLi507NjRfMzPz4+HH36Y48ePm4+5ubkVmagJUSpcXbWp2198oSUunp5w7pyW0LRvDwMG2LuGxSKJjBXyEpksSWRERZGaWvjlyy8ty167VnjZ776zLHvuXMHlHpCHhwe9e/dm9uzZ/Pzzz4wcOZK5c+cWWt41X3OoLvc/yLuP5R9A6+TkhLqrtSh/V8/dzp07xxNPPEGrVq348ssvOXjwICtWrAAgO3erEmtUqVLFXG8hypS7u7Zv07p12nt+wwatRcbTEzp0uFPu9m1ty+v582HvXq01p5yQriUrpNeogW9CAud1wYAkMqICqFrV/mUfQLNmzWy6dkyNGjW4fPmy+brRaOTIkSN07969wPIHDx7EZDKxePFinHLX6li/fr1FGTc3N4x3DZp85JFHyMnJYd++feaupcTERE6ePEmzZs1s9nyEsImqVeHZZ7VLZibkT9JjYuDHH7ULaIlO585aN/PAgdC8uV2qDNIiY5Ws6tUBOO30MCCJjBDWSkxMpEePHvznP//ht99+IyEhgQ0bNrBo0SIG2LCZu0ePHnz77bd8++23nDhxggkTJnD79u1Cyzdu3BiDwcDy5cv5448/+Oyzz1i5cqVFmeDgYFJTU4mNjeXGjRukp6fTpEkTBgwYwLhx49i9eze//vorw4cPp3bt2jZ9PkLYnIcHeHvfud6pE7z7rjaF289PGz8XEwOzZt1JbuxEEhkr5O1+XcWvCqAN/BZCPDi9Xk/Hjh1ZunQpXbp0oUWLFsyePZtx48bx3nvv2ew8o0ePJjIykoiICLp27UrDhg0LbY0BCAkJYcmSJSxcuJAWLVqwZs0a5s+fb1EmLCyM8ePHM2TIEGrUqMGiRYsAWLVqFe3ateOJJ56gU6dOKKXYsmWLRdeXEOVenTowebLWBX3tGvz+u7br9rPPQs+edq2aTt3dUexgkpOT8fHxISkpCe/82aWVDAYDN8LCqBUXx4cNFzL+j1dYuxaGDrXZKRyKwWBgy5Yt9OvXTz7Ai8GaeGVmZpKQkECDBg3w8PAopRqWLyaTieTkZLy9vc1dP47E1n9TeT+WjMSrZGwVr+J+fzveO74MVT91CoCgVO2nbFEghBBClC1JZKyQt47MjSxtbQ5nZ3vWRgghhKh8JJGxgi53hsLFJK3Jq4jlJIQQQghRCipEIrNixQqCg4Px8PCgY8eO7N+/395VAu4kMreoBkC1avasjRBCCFH5lPtEZt26dUybNo25c+cSHx9PSEgIffv2tXqVTltwyl1g6wZ+APj42LM2QgghROVT7hOZJUuWMG7cOEaNGkWzZs1YuXIlnp6efPLJJ/auGuQmMtepAVhuKCqEvTn4hMRKRf6WQhSuXK/sm52dzcGDB5k5c6b5mJOTE7169WLv3r0F3icrK8ti19zk5GRAmw5W1BLkJXXw9U08mvv7WRoBEBRkKE+rNpcrebG35d/AkVkbL6UUqampuFeSVRrzvuiVUhZbETiKrKwslFIopWzyHpL34/117erM5P2RPGn8CoBeQHbuxRFVxXKQZxqeJbp/XMQywj4eCdju9VXc+5frRObGjRsYjUbzJnB5AgICOHHiRIH3mT9/Pq+//vo9x3/44Qc8PUv2hylKyvkLPAqkUYUzNMHHJ5PY2K02e3xHFRMTY+8qVCgPGi8vLy+ysrLIzMzEzc2t0uzjk5iYaO8q2JxSiuvXr3Pz5k1Onz5t08eW92Phrl7tirMx654v+MqipM/7/85fYMuWLRbHrH19FbUha37lOpF5EDNnzmTatGnm68nJydStW5c+ffrYdEG8pDZJfOqvp37fZ9lXPYdWrZxxdu5ns8d3NAaDgZiYGHr37i0LShWDtfFSSnHt2jVzi6SjU0qRmZmJh4eHQyZtLi4uhIaG2uy9I+/H+wsJAePlpfyR/iZGo5G4uAOEhrbH2UHX2Ui/dJtrUVvReXsRFNkDV6+SLbwY3sgPr9rad6ytXl/F/fwq14mMv78/zs7OXL161eL41atXCQwMLPA+7u7uBTanu7q62vQN61PLB59uNQnrqZcPghKw9d/B0VkTrzp16mA0GitF94HBYGDnzp106dLFIV9fbm5upbJisbwfCxccDATXBrTX17GMUwR3b+zY8RrR4f5lSsDa11dx71uuExk3NzfatWtHbGwsAwcOBLSlyGNjY5k0aZJ9KydEBeDs7Oyw/0Hm5+zsTE5ODh4eHo79RSOEuEe5TmQApk2bRmRkJKGhoXTo0IFly5aRlpbGqFGj7F01IYQQQthZuU9khgwZwvXr15kzZw5XrlyhdevWfP/99/cMABZCCCFE5VPuExmASZMmSVeSEEIIIe5RIRIZa+StL2Hr2RsGg4H09HSSk5OlT74YJF4lI/EqGYlXyUi8SkbiVTK2ilfe9/b9FoR0+EQmJSUFgLp169q5JkIIIYQoqZSUFHyK2ANIpxx87WuTycSlS5fw8vKy6foSeevTXLx40abr0zgqiVfJSLxKRuJVMhKvkpF4lYyt4qWUIiUlhaCgoCKXH3D4FhknJyfq1KlTao/v7e0tL+wSkHiVjMSrZCReJSPxKhmJV8nYIl5FtcTkKfebRgohhBBCFEYSGSGEEEJUWJLIPCB3d3fmzp1baXYXtpbEq2QkXiUj8SoZiVfJSLxKpqzj5fCDfYUQQgjhuKRFRgghhBAVliQyQgghhKiwJJERQgghRIUliYwQQgghKixJZB7QihUrCA4OxsPDg44dO7J//357V6lcmD9/Pu3bt8fLy4uaNWsycOBATp48aVEmMzOTiRMn4ufnh16v55lnnuHq1at2qnH5sWDBAnQ6HVOnTjUfk1hZ+vPPPxk+fDh+fn5UqVKFli1bEhcXZ75dKcWcOXOoVasWVapUoVevXpw+fdqONbYfo9HI7NmzadCgAVWqVKFRo0a88cYbFvvWVPZ47dy5k/79+xMUFIROpyM6Otri9uLE5+bNmwwbNgxvb298fX0ZM2YMqampZfgsyk5R8TIYDMyYMYOWLVtStWpVgoKCiIiI4NKlSxaPURrxkkTmAaxbt45p06Yxd+5c4uPjCQkJoW/fvly7ds3eVbO7HTt2MHHiRH755RdiYmIwGAz06dOHtLQ0c5kXX3yRb775hg0bNrBjxw4uXbrE008/bcda29+BAwf48MMPadWqlcVxidUdt27donPnzri6uvLdd99x7NgxFi9eTLVq1cxlFi1axLvvvsvKlSvZt28fVatWpW/fvmRmZtqx5vaxcOFCPvjgA9577z2OHz/OwoULWbRoEcuXLzeXqezxSktLIyQkhBUrVhR4e3HiM2zYMI4ePUpMTAybN29m586dvPDCC2X1FMpUUfFKT08nPj6e2bNnEx8fz1dffcXJkyd58sknLcqVSryUKLEOHTqoiRMnmq8bjUYVFBSk5s+fb8dalU/Xrl1TgNqxY4dSSqnbt28rV1dXtWHDBnOZ48ePK0Dt3bvXXtW0q5SUFNWkSRMVExOjunbtqqZMmaKUkljdbcaMGeovf/lLobebTCYVGBio3nnnHfOx27dvK3d3d/W///u/ZVHFcuXxxx9Xo0ePtjj29NNPq2HDhimlJF53A9TGjRvN14sTn2PHjilAHThwwFzmu+++UzqdTv35559lVnd7uDteBdm/f78C1Pnz55VSpRcvaZEpoezsbA4ePEivXr3Mx5ycnOjVqxd79+61Y83Kp6SkJACqV68OwMGDBzEYDBbxa9q0KfXq1au08Zs4cSKPP/64RUxAYnW3TZs2ERoayqBBg6hZsyZt2rTho48+Mt+ekJDAlStXLOLl4+NDx44dK2W8wsLCiI2N5dSpUwD8+uuv7N69m/DwcEDidT/Fic/evXvx9fUlNDTUXKZXr144OTmxb9++Mq9zeZOUlIROp8PX1xcovXg5/KaRtnbjxg2MRiMBAQEWxwMCAjhx4oSdalU+mUwmpk6dSufOnWnRogUAV65cwc3NzfzCzhMQEMCVK1fsUEv7+vzzz4mPj+fAgQP33CaxsvTHH3/wwQcfMG3aNP7xj39w4MAB/v73v+Pm5kZkZKQ5JgW9NytjvF599VWSk5Np2rQpzs7OGI1G3nrrLYYNGwYg8bqP4sTnypUr1KxZ0+J2FxcXqlevXuljmJmZyYwZMxg6dKh548jSipckMqLUTJw4kSNHjrB79257V6VcunjxIlOmTCEmJgYPDw97V6fcM5lMhIaG8vbbbwPQpk0bjhw5wsqVK4mMjLRz7cqf9evXs2bNGtauXUvz5s05fPgwU6dOJSgoSOIlSpXBYGDw4MEopfjggw9K/XzStVRC/v7+ODs73zNz5OrVqwQGBtqpVuXPpEmT2Lx5M9u2baNOnTrm44GBgWRnZ3P79m2L8pUxfgcPHuTatWu0bdsWFxcXXFxc2LFjB++++y4uLi4EBARIrPKpVasWzZo1szj2yCOPcOHCBQBzTOS9qXn55Zd59dVXee6552jZsiUjRozgxRdfZP78+YDE636KE5/AwMB7Jnnk5ORw8+bNShvDvCTm/PnzxMTEmFtjoPTiJYlMCbm5udGuXTtiY2PNx0wmE7GxsXTq1MmONSsflFJMmjSJjRs38tNPP9GgQQOL29u1a4erq6tF/E6ePMmFCxcqXfx69uzJ77//zuHDh82X0NBQhg0bZv5dYnVH586d75nKf+rUKerXrw9AgwYNCAwMtIhXcnIy+/btq5TxSk9Px8nJ8iPe2dkZk8kESLzupzjx6dSpE7dv3+bgwYPmMj/99BMmk4mOHTuWeZ3tLS+JOX36ND/++CN+fn4Wt5davB54mHAl9vnnnyt3d3cVFRWljh07pl544QXl6+urrly5Yu+q2d2ECROUj4+P2r59u7p8+bL5kp6ebi4zfvx4Va9ePfXTTz+puLg41alTJ9WpUyc71rr8yD9rSSmJVX779+9XLi4u6q233lKnT59Wa9asUZ6enuo///mPucyCBQuUr6+v+vrrr9Vvv/2mBgwYoBo0aKAyMjLsWHP7iIyMVLVr11abN29WCQkJ6quvvlL+/v7qlVdeMZep7PFKSUlRhw4dUocOHVKAWrJkiTp06JB5lk1x4vPYY4+pNm3aqH379qndu3erJk2aqKFDh9rrKZWqouKVnZ2tnnzySVWnTh11+PBhi8//rKws82OURrwkkXlAy5cvV/Xq1VNubm6qQ4cO6pdffrF3lcoFoMDLqlWrzGUyMjLU3/72N1WtWjXl6empnnrqKXX58mX7VbocuTuRkVhZ+uabb1SLFi2Uu7u7atq0qfqf//kfi9tNJpOaPXu2CggIUO7u7qpnz57q5MmTdqqtfSUnJ6spU6aoevXqKQ8PD9WwYUP12muvWXypVPZ4bdu2rcDPq8jISKVU8eKTmJiohg4dqvR6vfL29lajRo1SKSkpdng2pa+oeCUkJBT6+b9t2zbzY5RGvHRK5VvmUQghhBCiApExMkIIIYSosCSREUIIIUSFJYmMEEIIISosSWSEEEIIUWFJIiOEEEKICksSGSGEEEJUWJLICCGEEKLCkkRGCCGEEBWWJDJCCJsZOXIkAwcOtNv5R4wYYd4d+0FFRUXh6+tbovs899xzLF682KrzCiEejKzsK4QoFp1OV+Ttc+fO5cUXX0QpVeJEwBZ+/fVXevTowfnz59Hr9Q/8OBkZGaSkpFCzZs1i3+fIkSN06dKFhIQEfHx8HvjcQoiSk0RGCFEsV65cMf++bt065syZY7EbtV6vtyqBsNbYsWNxcXFh5cqVdjl/+/btGTlyJBMnTrTL+YWorKRrSQhRLIGBgeaLj48POp3O4pher7+na6lbt25MnjyZqVOnUq1aNQICAvjoo49IS0tj1KhReHl50bhxY7777juLcx05coTw8HD0ej0BAQGMGDGCGzduFFo3o9HIF198Qf/+/S2OBwcH8+abbxIREYFer6d+/fps2rSJ69evM2DAAPR6Pa1atSIuLs58n7u7lubNm0fr1q357LPPCA4OxsfHh+eee46UlBSLc/Xv35/PP//8ASIrhLCGJDJCiFK1evVq/P392b9/P5MnT2bChAkMGjSIsLAw4uPj6dOnDyNGjCA9PR2A27dv06NHD9q0aUNcXBzff/89V69eZfDgwYWe47fffiMpKYnQ0NB7blu6dCmdO3fm0KFDPP7444wYMYKIiAiGDx9OfHw8jRo1IiIigqIap8+ePUt0dDSbN29m8+bN7NixgwULFliU6dChA/v37ycrK+sBIyWEeBCSyAghSlVISAizZs2iSZMmzJw5Ew8PD/z9/Rk3bhxNmjRhzpw5JCYm8ttvvwHw3nvv0aZNG95++22aNm1KmzZt+OSTT9i2bRunTp0q8Bznz5/H2dm5wHEt/fr1469//av5XMnJybRv355Bgwbx0EMPMWPGDI4fP87Vq1cLfQ4mk4moqChatGjBf/3XfzFixAhiY2MtygQFBZGdnW3RBSeEKH0u9q6AEMKxtWrVyvy7s7Mzfn5+tGzZ0nwsICAAgGvXrgHaoN1t27YVON7m7NmzPPTQQ/ccz8jIwN3dvcAByfnPn3euws4fGBhY4HMIDg7Gy8vLfL1WrVrm+uapUqUKgLllSQhRNiSREUKUKldXV4vrOp3O4lhe8mEymQBITU2lf//+LFy48J7HqlWrVoHn8Pf3Jz09nezsbNzc3Ao9f965ijp/cZ/D3eVv3rwJQI0aNQp9HCGE7UkiI4QoV9q2bcuXX35JcHAwLi7F+4hq3bo1AMeOHTP/XtaOHDlCnTp18Pf3t8v5haisZIyMEKJcmThxIjdv3mTo0KEcOHCAs2fPsnXrVkaNGoXRaCzwPjVq1KBt27bs3r27jGt7x65du+jTp4/dzi9EZSWJjBCiXAkKCmLPnj0YjUb69OlDy5YtmTp1Kr6+vjg5Ff6RNXbsWNasWVOGNb0jMzOT6Ohoxo0bZ5fzC1GZyYJ4QgiHkJGRwcMPP8y6devo1KlTmZ77gw8+YOPGjfzwww9lel4hhLTICCEcRJUqVfj000+LXDivtLi6urJ8+fIyP68QQlpkhBBCCFGBSYuMEEIIISosSWSEEEIIUWFJIiOEEEKICksSGSGEEEJUWJLICCGEEKLCkkRGCCGEEBWWJDJCCCGEqLAkkRFCCCFEhSWJjBBCCCEqrP8HTJTerg4YVQcAAAAASUVORK5CYII=", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "# plot Propofol Effect site concentration\n", "fig, ax1 = plt.subplots(2)\n", "ax1[0].plot(df_results['Time']/60, case_df['Orchestra/PPF20_CP'], 'b', label='VitalDB')\n", "ax1[0].plot(df_results['Time']/60, df_results['x_propo_1'], 'b--', label='Simulator')\n", "ax1[0].plot(df_results['Time']/60, case_df['Orchestra/RFTN20_CP'], 'r', label='VitalDB')\n", "ax1[0].plot(df_results['Time']/60, df_results['x_remi_1'], 'r--', label='Simulator')\n", "ax1[0].set_xlabel('Time (min)')\n", "ax1[0].set_ylabel('Blood')\n", "ax1[0].legend()\n", "ax1[0].grid()\n", "ax1[1].plot(df_results['Time']/60, case_df['Orchestra/PPF20_CE'], 'b', label='VitalDB')\n", "ax1[1].plot(df_results['Time']/60, df_results['x_propo_4'], 'b--', label='Simulator')\n", "ax1[1].plot(df_results['Time']/60, case_df['Orchestra/RFTN20_CE'], 'r', label='VitalDB')\n", "ax1[1].plot(df_results['Time']/60, df_results['x_remi_4'], 'r--', label='Simulator')\n", "ax1[1].set_xlabel('Time (min)')\n", "ax1[1].set_ylabel('Effect Site')\n", "ax1[0].set_title('Concentration')\n", "ax1[1].legend()\n", "ax1[1].grid()" ] }, { "attachments": {}, "cell_type": "markdown", "metadata": {}, "source": [ "Both simulation and data from vitalDB are quite similar, This was expected since the concentration are competed in by the TCI device using the same models than in PAS. The little difference might came from missing data or numerical approximation in the TCI device." ] }, { "cell_type": "code", "execution_count": 15, "metadata": {}, "outputs": [ { "data": { "image/png": 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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "# plot BIS\n", "plt.figure()\n", "plt.plot(df_results['Time']/60, case_df['BIS/BIS'], 'b', label='VitalDB')\n", "plt.plot(df_results['Time']/60, df_results['BIS'], 'r', label='Simulator')\n", "plt.xlabel('Time (min)')\n", "plt.ylabel('BIS')\n", "plt.title('BIS')\n", "plt.legend()\n", "plt.grid()\n", "plt.show()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Here we observe a huge difference between measured data and simulation. This can be explained by the fact that we are simulating a nominal model while the real patient have an individual reaction to drug. Moreover, the real patient is also subject to disturbance and the measure is subject to noise." ] } ], "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": "3.12.3" }, "orig_nbformat": 4 }, "nbformat": 4, "nbformat_minor": 2 }