{"metadata":{"kernelspec":{"language":"python","display_name":"Python 3","name":"python3"},"language_info":{"name":"python","version":"3.10.12","mimetype":"text/x-python","codemirror_mode":{"name":"ipython","version":3},"pygments_lexer":"ipython3","nbconvert_exporter":"python","file_extension":".py"},"kaggle":{"accelerator":"none","dataSources":[{"sourceId":31254,"databundleVersionId":3103714,"sourceType":"competition"}],"dockerImageVersionId":30822,"isInternetEnabled":true,"language":"python","sourceType":"notebook","isGpuEnabled":false}},"nbformat_minor":4,"nbformat":4,"cells":[{"cell_type":"code","source":"import numpy as np\nimport pandas as pd\nimport os\n\n# List all files under the input directory, but ignore image files\nfor dirname, _, filenames in os.walk('/kaggle/input'):\n    for filename in filenames:\n        if filename.endswith('.csv'):\n            print(os.path.join(dirname, filename))","metadata":{"_uuid":"8f2839f25d086af736a60e9eeb907d3b93b6e0e5","_cell_guid":"b1076dfc-b9ad-4769-8c92-a6c4dae69d19","trusted":true,"execution":{"iopub.status.busy":"2024-12-23T10:04:18.338553Z","iopub.execute_input":"2024-12-23T10:04:18.339012Z","iopub.status.idle":"2024-12-23T10:05:35.023976Z","shell.execute_reply.started":"2024-12-23T10:04:18.338977Z","shell.execute_reply":"2024-12-23T10:05:35.022886Z"}},"outputs":[],"execution_count":null},{"cell_type":"code","source":"import time\nimport numpy as np\nimport pandas as pd\n\nimport multiprocessing as mp\nfrom multiprocessing import Pool\nfrom functools import partial","metadata":{"trusted":true,"execution":{"iopub.status.busy":"2024-12-23T10:05:35.025187Z","iopub.execute_input":"2024-12-23T10:05:35.025660Z","iopub.status.idle":"2024-12-23T10:05:35.030093Z","shell.execute_reply.started":"2024-12-23T10:05:35.025631Z","shell.execute_reply":"2024-12-23T10:05:35.029241Z"}},"outputs":[],"execution_count":null},{"cell_type":"code","source":"import pandas as pd\nfrom pathlib import Path\n\n# Define the dataset path\nbase_path = '../input/h-and-m-personalized-fashion-recommendations/'\ntrain = f'{base_path}transactions_train.csv'\ncsv_sub = f'{base_path}sample_submission.csv'\nusers = f'{base_path}customers.csv'\nitems = f'{base_path}articles.csv'","metadata":{"trusted":true,"execution":{"iopub.status.busy":"2024-12-23T10:10:27.082588Z","iopub.execute_input":"2024-12-23T10:10:27.082992Z","iopub.status.idle":"2024-12-23T10:10:27.088283Z","shell.execute_reply.started":"2024-12-23T10:10:27.082955Z","shell.execute_reply":"2024-12-23T10:10:27.086888Z"}},"outputs":[],"execution_count":null},{"cell_type":"code","source":"#reads the train csv table, ensures article_id is read as string & parses t_dat col as datetime obj\ndf = pd.read_csv(train, dtype={'article_id': str}, parse_dates=['t_dat'])\ndf_sub = pd.read_csv(csv_sub)","metadata":{"trusted":true,"execution":{"iopub.status.busy":"2024-12-23T10:10:32.076862Z","iopub.execute_input":"2024-12-23T10:10:32.077219Z","iopub.status.idle":"2024-12-23T10:11:38.950406Z","shell.execute_reply.started":"2024-12-23T10:10:32.077194Z","shell.execute_reply":"2024-12-23T10:11:38.949441Z"}},"outputs":[],"execution_count":null},{"cell_type":"markdown","source":"makes a lookup table: each unique customer id is assigned to unique userId in a numeric way (starting from 0) and customer_to_user_map is the reverse.\n\nwhy? \n->Id's are stored as string in large database, mapping them to numeric id makes it faster to do matrix sum.\n->collaborative filtering, require numeric IDs to build user-item interaction matrices or embeddings.\n\n![image.png](attachment:c60765a6-0bf7-4492-85cd-0ec16e99ea5d.png)\nso later instead of working with C001, we can work with userId 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XewD0N/dhAKA79fxG0AUUAACgIgRAAACAihAAAQAAKkIABAAAqAgBEAAAoCIEQAAAgIoQAAEAACpCAAQAAKgIARAAAKAiBEAAAICKEAABAAAqoq29vX1xsd2jF8ul6dOnF3sA9Le+ug+PGDEiDR8+PA0ZMqQ40jw6OzvT/PnzU0dHR3EEAKqnnt8IWgABKmrQoEFp3LhxadSoUU0Z/kJ87/j+cR1xPQBAzwRAgIpae+21mzb4LS2uI64HAOiZAAhQQdHts1XCXymuJ64LAFg+ARCggmLMXytq1esCgN4iAAJUUKu1/pVa9boAoLc0NADuvvvu6aKLLkq33XZbuuOOO9KUKVPSKaecksaOHVuUAAAAoLc0LADutddeadKkSWnDDTdM06ZNSzfccEN67rnn0m677ZaOP/74NGzYsKIkAAAAvaEhATDC3Z577plWW221dMEFF6QDDjggHX300emEE05Is2fPTttss03ae++9i9IAAAD0hoYEwD322CO3/MViheedd15xNKVbbrkl3XTTTXktp7e97W3FUQAAAHpDQwLgZpttloYOHZoefPDBtGDBguLoS6I7aHQFHTNmjG6gAA220047pfPPPz9deumlS17HHXdccfZlcaxrmTPOOKM480q1lgsHHXRQLhN/P74HAPDqNSQArr/++mnRokXpySefLI687Iknnkj/+Mc/cvjbcssti6MA9LcIYIceemh6+umnc7f88tXZ2Zn22WefolTKIW6LLbZIl19+eT4f/66zzjrLhLtay5WhMx4WPv7448VRAKA3NCQArrnmmvnfF154If/bnRgfuNZaaxV7APSnCGHbb799DmBHHnlkcfQlp556arrkkkvydgTBCHExi3N5LP6N/TheBsVay40fPz7tu+++6dZbb13m7wIAr15DAmCs07Rw4cI0Y8aM4siyBg8ebD0ngAaJHhirr756euCBB4oj3YtWurifR/f9UoS4mMwrxnPH+VBruXvvvTe3PE6ePDnvAwC9qyEBMLS1taXhw4cXe8uKcYDRFRSA/heB7JlnnnlFYOvOyJEjc7k5c+bk/Wg5jCV+YkbnOBbnQ63lAIC+1ZAAGONJ4olvTxV+PCmOHwsANIdouYvX1VdfvaSbZ3dqLQcA9L6GBMC5c+fmADh69OjiyMvWW2+9PEZw3rx5aerUqcVRAAayGMMXYwaj62ZPoa7WcgBA32hIAHz00UfzLKCbbLJJceRlMe4kxv49/PDDxREA+ls8qIsxgCuajTnKjRo1Ki/dc/rpp+dJXUIci/fH+VBrOQCgbzUkAP72t79NTz31VNp8883Tpz/96eJoSjvssEN6xzvekebPn59uvPHG4igA/S0mf4kHdeXkLMtTlrv77rvzBC6lCI4xmVc5iUyt5QCAvtWQAHjPPfeka6+9Nk8E88lPfjJ9//vfT6eddlo64YQTcrfQm2++OZ8HoDGie+b999+f121dep2+Y445ZsmyDVEu1nSNbp3lYu1xLrbj/WU3z1rLAQB9q629vX1xsd2jF8ul6dOnF3u9Y7/99suv1772tXk/ZoK75ppr0re+9a28D8DLevM+HJ9ViwhpEydOzOO2S/EQ7+STTy72XhIhMcJiqbsyoZZyS5fpqrt1CZfW23UVAAx09fxGaGgABKB2jQiAzUhdBUDV1PMboSFdQAEAAOh/AiAAAEBFCIAAAAAVIQACVFBnZ2ex1Vpa9boAoLcIgAAVFOuttqJWvS4A6C0CIEAFdXR0tFxrWVxPXBcAsHwCIEBFzZo1q2VCYFxHXA8A0DMBEKCiFi1alGbMmJHmzJnTtEEwvnd8/7iOuB4AoGcWggdoEu7DAEB3LAQPAADAMgRAAACAihAAAQAAKkIABAAAqAgBEAAAoCIEQAAAgIoQAAEAACqirnUAAQAAGHhqXQfQQvAATcJ9GADoTj2/EXQBBQAAqAgBEAAAoCIEQAAAgIoQAAEAACpCAAQAAKgIARAAAKAiBEAAAICKEAABAAAqQgAEAACoCAEQAACgIgRAAACAimhrb29fXGz36MVyafr06cUeAP2tr+7DI0aMSMOHD09DhgwpjjSPzs7ONH/+/NTR0VEcAYDqqec3ghZAgIoaNGhQGjduXBo1alRThr8Q3zu+f1xHXA8A0DMBEKCi1l577aYNfkuL64jrAQB6JgACVFB0+2yV8FeK64nrAgCWTwAEqKAY89eKWvW6AKC3CIAAFdRqrX+lVr0uAOgtAyIAjh07Np122mnpuuuuS3vssUdxFAAAgN7U0AAYwe+oo45KF1xwQdpll13S4MGDizMAAAD0toYFwP333z9ddtllaZ999kltbW1pwYIFxRkAAAD6QsMCYKzXFIv3XnXVVen444/P2wAAAPSdtvb29sXFdo/qWV2+XhMmTEgnnnhinr3t1FNPTVdffXVxBoBSb96H47NqsdNOO6UDDzwwrb766sWRlO6555508sknF3svOe6449LWW29d7KX0+OOPpyOPPLLYe1mt5c4444y0/vrrF3vLL9edvqqrAGCgquc3gllAAejWQQcdlA499ND09NNPp7333nvJq7OzM3ffL0VY22KLLdLll1+ez8e/66yzTj7eVT3lQvn3llcOAKifAAjAMqLlb/vtt++25S16alxyySV5O4JghLMpU6YsORb/xn4cL4NireVC/L2ufzPKPfnkk2n06NH5ewEAK08ABGAZW265Ze72+cADDxRHurfZZpulhQsXpmnTphVHUho/fnzaZptt8ljvOB9qLQcA9C0BEIBlRCB75plnXhHYujNy5Mhcbs6cOXk/WugmTZqUZs+enY/F+VBrue5EUBw2bNgr3g8ArBwBEIBeEWMG4xUTeZXdPLtTa7nSnnvumUaNGpVmzJiR7r333uIoALAyBEAAXrUYwxdjBidPntxjqKu1XKmcNTTGIi498ygAUD8BEIBlzJ07N48BjLGAPYly0To3ZsyYdPrpp+dJXUIci/fH+VBrua6ilTDCX3T7PPfcc4ujAMCrIQACsIyY/GXRokUrnJylLHf33Xe/ontmBMfBgwcvmUSm1nKlCH+77rprDn9nnXWWrp8A0EsEQACWEd0z77///rwY+9Lr7x1zzDFLlm2IcrFEQ3TrLJdoiHOxHe8vu3nWWi4IfwDQd9ra29sXF9s9qmd1+XpNmDAhnXjiiWn48OF5famYGACAV+rN+3B8Vi0ipE2cODEv1VC65557lhmPFyExwmKpuzJhReVixs9YfD66hnanu3UJl9ZXdRUADFT1/EYYEAEQgBVrRABsRuoqAKqmnt8IuoACAABUhAAIAABQEQIgQAV1dnYWW62lVa8LAHqLAAhQQfPnzy+2WkurXhcA9BYBEKCCOjo6Wq61LK4nrgsAWD4BEKCiZs2a1TIhMK4jrgcA6JkACFBRixYtSjNmzMgLrjdrEIzvHd8/riOuBwDomXUAAZqE+zAA0B3rAAIAALAMARAAAKAiBEAAAICKEAABAAAqQgAEAACoCAEQAACgIgRAAACAiqhrHUAAAAAGnlrXAbQQPECTcB8GALpTz28EXUABAAAqQgAEAACoCAEQAACgIgRAAACAihAAAQAAKkIABAAAqAgBEAAAoCIEQAAAgIoQAAEAACpCAAQAAKgIARAAAKAi2trb2xcX2z16sVyaPn16sQdAf+ur+/CIESPS8OHD05AhQ4ojzaOzszPNnz8/dXR0FEcAoHrq+Y2gBRCgogYNGpTGjRuXRo0a1ZThL8T3ju8f1xHXAwD0TAAEqKi11167aYPf0uI64noAgJ4JgAAVFN0+WyX8leJ64roAgOUTAAEqKMb8taJWvS4A6C0CIEAFtVrrX6lVrwsAekvDAuD222+fzj333HTTTTelO+64I/3ud79Lv/zlL9MRRxyRhg0bVpQCAACgtzQkAG6zzTbpC1/4Qtpyyy3TzJkz07XXXpt+//vfpzXWWCPts88+6eijjy5KAgAA0FsaEgBjqu5HHnkkHXPMMWnvvfdOxx57bPrMZz6TzjzzzPTMM8/k1sEddtihKA0AAEBvaEgAnDp1ajrssMPSjTfeWBx5yeWXX56efPLJ3BK4ySabFEcBAADoDW3t7e2Li+0e1bO6/KtxzjnnpC222CL98Ic/TD/4wQ+KowD05n04PqsWO+20UzrwwAPT6quvXhxJ6Z577kknn3xysfeS4447Lm299dbFXkqPP/54OvLII4u9l9VSbukyYXmf153+qKsAYCCp5zfCgJoFNCr8MWPGpAULFqjAARrsoIMOSoceemh6+umnc3f98tXZ2ZnHa5fOOOOM/OAuenHE+fh3nXXWyce7qrVchMuuf2955QCA+g2oALjXXnulsWPH5vB33XXXFUcB6G/R8hfjsbtreTv11FPTJZdckrcjCEY4mzJlypJj8W/sx/EyKNZarjtRLoYHxAzR48ePL44CACtjwATAGBO422675SfN5513XnEUgEaIWZqj2+cDDzxQHOneZpttlhYuXJimTZtWHEk5pMVszzHhV5wPtZYDAPpWwwNgtPiddtppab/99ktz5szJ27fccktxFoBGiEAWszJ3DWzdGTlyZC4X9+8QLYeTJk1Ks2fPzsfifKi1XHeiK+r666+f7r777nTvvfcWRwGAldHQALjtttum73znO/mHwJ133pkOP/zwZWYGBaA5RFCL19VXX72km2d3aikX5y+99NL82nXXXfPEM5MnTy7OAgArq2EBMNb5O+mkk/LYj/PPPz8dcsgh6eGHHy7OAtBMYgxfjBmMkNZT+Ku1XJwvJ4GJumLcuHG5rogHhgDAymtIANxwww3TwQcfnMeXnH322fkFwMAxd+7cfI+OsYA9iXKjRo3KMziffvrpeVKXEMfi/XE+1FquO9Ht84YbbkiDBw9e4fcBAHrWkAC48847p4022ij98Y9/TBdffHFxFICBIiZ/WbRo0QonZynLLT0+L4JaBLZyEplaywEAfathLYCrrbZa2nTTTdOFF17Y7SsmgwGgMaJ75v33358nX1l6/b1jjjlmybINUS6WaIhunWX3zDgX2/H+sptnreW6E2X22GOPNG/evHTzzTcXRwGAldHW3t6+uNjuUT2ry6/Il770pTRx4sRir3sxHrD8gQFA796H47NqEffhuF/HUg2lmJAlFmvvKkJihMVSd2VCLeWWLhOuv/76mieB6a3/RgDQLOr5jdCQAAhA/RoRAJuRugqAqqnnN0JDl4EAAACg/wiAAAAAFSEAAgAAVIQACFBBnZ2dxVZradXrAoDeIgACVND8+fOLrdbSqtcFAL1FAASooI6OjpZrLYvriesCAJZPAASoqFmzZrVMCIzriOsBAHomAAJU1KJFi9KMGTPSnDlzmjYIxveO7x/XEdcDAPSs5oXgN9544/TII4+kxYtrKg5AL+vNheABgNbQ1taWNtpoo/TXv/61ONKzmlsAn3/++TRo0KBiDwAAgEaLjBZZrVY1B8Bnn302DR06tNgDAACg0SKjRVarVc0B8J///Gdac801iz0AAAAaLTJaZLVa1RwAFyxYkMf/CYEAAACNF9ksMlpktVrVNQtozLQ2evToNGzYsOIIAAAA/S0yWWSzyGj1qCsAPvfcc+mpp55KY8eO1RIIAADQAJHFIpNFNouMVo+6AmCI5sWZM2em4cOHp/XWWy//8cGDB+fpRwEAAOhdkbUic0X2igwWWSwyWT1dP0s1rwPYnWh2XGONNfLMM6uuuqoQCAAA0MtinF8s9RCzfcaELysT/EqvKgACAADQPOruAgoAAEBzEgABAAAqQgAEAACoCAEQAACgIgRAAACAinhVs4CutdZaaeTIkXkdiiFDhlgGAgAAoJfFMhCdnZ1p/vz5ae7cuenvf/97caZ+KxUAY/2/DTbYIIe+WIMi1qOIdSniiwHA0qLOeOyxx4o9AKAeq6yySl4IPl6xDvtzzz2X69WVWQ+w7i6g0eq3xRZbpEWLFqWnnnoqp9DYFv4AAAB63wsvvJBDX2SvWbNm5f03vOENOZvVq64AGC1/m2yySZo9e3b+4wAAAPSvefPm5UwW2SwyWj3qCoDRhSf6m0b6BAAAoDFiTGAEwcho9ag5AEbzYoz50/IHAADQeBEAhw4dWldX0JoDYMz2uTKDDAEAAOgb0UAXWa1WNQfAWOohZvsEAABgYFi4cGHOarWqOQBG989Y6gEAAICBIQJgZLVa1RwAY5F3Sz0AAAAMHLEkRGS1WtUcAAEAAGhuAiAAAEBFCIAAAAAVIQACAABUhAAIAABQEQIgAABARQiAAAAAFSEAAgAAVIQACAA12n///dP3vve99LnPfS6tvvrqxdHanHLKKekXv/hF+slPfpJ23XXX4igA9K+29vb2xcV2jyZMmJAee+yxYu/Viwp0ww03TI8++mg6+OCDi6PNZXnX8NnPfja95z3vKfZeFqv0z58/Pz3++OPp17/+dfrVr35VnAFobRtssEGv1iFdRRA79dRT0+te97q8f8cdd6QTTzwxb/emrbbaKk2aNCm99rWvTQsWLEjf/e5304033licXbEIgG9605vSM888k84+++x0/fXXF2deveXVR+XxpXV2dqZ58+al+++/P1199dXpnnvuKc4A0Iyinp06dWqx17MB1wL47ne/O33jG99IP/rRj1ruCekqq6ySXvOa16Qtt9wyHXroofk6u6uYAajdLrvsktZdd91iL+Ug+MY3vrHYq896662XDj/88HTuuecuEyIffvjhHLDiYd6TTz6Zpk+fXpxpPkOGDMlB9h3veEe+zqiTAKiGARcAIxy94Q1vqLtrzUAUT3nPOOOM9P73vz8/kT3rrLPS7bffno+3tbXl6zzqqKPyDw4AVk60zA0dOjS3aD333HNprbXWSm95y1uKs/WJUBTvHTt2bBo0aFBx9CVx7/7yl7+c/vVf/zX39Igw2Cziu0ZdFK8vfvGL+SHrQw89lMNshMHotRLXBEDrMwawn0Tl+8tf/jKdfPLJ6etf/3r629/+lo9vtNFGaffdd8/bANTn9a9/fdpiiy3yQ7U///nP6emnn06rrrpqDoV0749//GO69NJLc0vnZZddlruDRg+V7bbbLm2//fZFKQBa1YAJgNHdMwbGl2PnogXwyCOPzAPmY9xEqTx+0UUXpauuuiq/Lr744vT5z38+jR49uiiV0n777ZeuuOKK/P54qhktbfH5sX/55Zfn/fis6DoU4zh+/vOf58+64IIL0r777lt8St+4884785iLqHTjh0qMCWmFFk+A/vbmN785t/jF/fTee+9Nf/nLX/Lx9ddfP+244455u6sYExf1wPnnn58+8pGP5JawuPefdNJJua756le/uqQuiXvz0pO2dH3/0t1Mo0z0+og6JsrE50ZdFfXRikRdFL1Efvazn+X3Rp0U+92NJ+9Ncf1/+MMf8vaaa66Z/3sC0NoGTABcuHBh7l4TlXhYvHhxevbZZ/Ox6NITYrxcVNBRUQ4fPjwfj/JrrLFG2nnnndMRRxzRbZCK7jzvfOc70+DBg/PnrrbaammnnXbKg/k/9alP5c+N4/EEecSIEWnPPfdMe+yxR/HuvnHzzTcvaQWMHy/RHRSA+kTrX3Rh/Pvf/55btqZNm5brjqgXehoHGPVB3OtHjRqV7/3xMC7qlKhzoltkKOuleMV2T/7t3/4tj6PbbLPNch0TnxH1SoSqrg8nuxMPHWOYwMYbb5z34++F2D/wwAP7vD6Kh5Lx3yxaASM4A9DaBkwAvOmmm9LHP/7x9Jvf/CbvR2UUT1rjCW08mQ177bVX2nTTTfPsaz/4wQ/Shz/84XzshhtuyBVtjB/8wAc+kMt2FROv/PSnP00f/OAH0//+7//m90dF97a3vS09//zz+YntRz/60fy3o9KOELntttsW7+4bTzzxROro6Mjb8fdGjhyZtwGoTdynowtoiAlZHnzwwXTXXXelOXPm5Hv8+PHjl9u7IuqFRYsW5XomxsUde+yxua6Jbvpz587NZSJMRh0UdVPUUcuz22675c+IIBozPV944YVpn332ya9ozfvHP/5RlFxWhNT3vve9eQxjBNh4KBl/MyZmiYeEEWTf97739WkvkaeeemrJg9Z4IAlAa2uaMYCbb7552nrrrXOlHk8ro3tMKQJgPP2NyjfKLS1+FPzwhz/M21deeWV65JFH8naEvdtuuy2/P564TpkyZUlFvfbaa+d/+1LZ2glA/aJOiBa2uJdGWAvxcK3sBjpmzJjcY6Q78fAvlmGI7viv1tvf/vbcKyW+R3T/jABYthxOnjx5Sf3TneimGg8AYwKbGLYQYxhD1HNl18y4jr58KBkPXCMMA1ANTRMAo5tmVPQhum/GU9XyFU9soxtPiKeoS5sxY0ax9ZIyeMUTzz/96U95O8T6fP/85z/zdgTNvhbdTUO0XsaPEQBqF+PVoutm2f2zVHYDjfpgeZPBREtdGRpfrXIJimixu+WWW/J2raLLZdQ3UR/EDKNd67Z3vetduUzMRhoPOPtKBNCyhbHs/gpA62qaABhTcseYjTB79uzc3ae718yZM3OZlRFPjvvrKWh0+ykDbfwQib8NQG1iXHfZUyPqh29+85tLgtNBBx2Uw1+M7YsxgmU30a7iXh8h8dWKe3l00wzxmfXey8sul/FgMmaL7q5ei14rPXUjfbUihJYBc9asWflfAFpX0wTAGC9XhrN40nvYYYd1+4pZ05rBW9/61iUVf1Tu0U0VgNrEDJ1l8OpJ3Gf7cmbL6OZZ9uCIlrx6x+qVvU7iQWCMbe+uXotZq++4445crrfF943/ltHKGCE0ltIAoLUN6AAYXXtKXQept7e39+mA+L4WiwjH1N5xfRFsr7322uIMACuy3nrr5a6d0cIXdUMsA1Qucl6+YuxdtPBFy1YEnJURn78i8fCuHLcXQxFiRup6RI+WEGMIu2up7EtRjx5yyCFLZqGOsZOxdAUArW3ABcBy6uyYRju67pR+97vf5TF6IabG/q//+q8lU2tHJRazrcVsnj1N+91IMYZx4sSJ6dRTT00HHHBAfnIdT1uvueaadOuttxalAFiRbbbZZsm47+j2312rVTkbaNhoo41qnkQlWvOiDgoxtq+WOiXqp7ifDxs2LH3sYx9bsmxD1FERsPbff/+8351YuzBaESOoRh2x++67F2demuQm1iWMLq29Ka4pvtO3v/3t3JU2Wi4jSF9yySX5uwDQ2gZcAHz44YfzU9uokKKVLGZF+8pXvpLPXXrppXmQfZyLyjxmVosFemPGtX//939f4VpL/S2CabmYfUw1/ulPfzo/tY6uNtHyFwvw/vjHPy5KA1CLuP/H/TWGBSxvIpeus4HGeOsIU7W47777loyDi9k3o/65+OKLlywE352oh2Jt13iAGcE01vSLmaqjjopAV4737k7MQhoPAeO9MRFMvDdmEr3sssty+Iuw1hsTwMRDyHKMZHxuLKFUTl7z0EMP5TGUMfMoAK1vwAXAqAyjS2SMhwgR9spZO6Ny+trXvpamTp2an1KW4y3iaW0Mno+w2HUmuIEmriNmJI01CT/72c/m7wtA7WKpnxgGEKKe6DqT89LK2UCju3094wDjwVx07YxQFvVM/LuiheCjB0o81IvwWL4vWhOjbnrggQeKUt0r3xutcGUPmAh9MfFLBMtf/epXRcneEX8j1sO9//7787j5ww8/PN1zzz3FWQBaXduLFelLfV1WYMKECemxxx4r9gCgdhtssIE6BAD6SNSz0UhWi6aZBRQAAIBXRwAEAACoCAEQAACgIgRAAACAihAAAQAAKkIABAAAqAgBEAAAoCIEQAAAgIoQAAEAACpCAAQAAKgIARAAAKAiBEAAAICKEAABAAAqQgAEAACoiLb29vbFxXaPJkyYUGwBAAAwkEydOrXY6lnNAfDFcmn69OnFHgDUTh0CAH2nnnpWF1AAAICKEAABAAAqQgAEAACoCAEQAACgIgRAAACAihAAAQAAKkIABAAAqAgBEAAAoCIEQAAAgIoQAAEAACpCAAQAAKiItvb29sXFdo9eLJemT59e7AFA7fqqDhkxYkQaPnx4GjJkSHGkOXR2dqb58+enjo6O4ggArLx66lktgAA0nUGDBqVx48alUaNGNV34C/Gd47vHNcS1AEB/EQABaDprr712Uwa/pcU1xLUAQH8RAAFoKtHtsxXCXymuJa4JAPqDAAhAU4kxf62mFa8JgIFJAASgqbRS61+pFa8JgIGpoQFw9913TxdddFG67bbb0h133JGmTJmSTjnllDR27NiiBAAAAL2lYQFwr732SpMmTUobbrhhmjZtWrrhhhvSc889l3bbbbd0/PHHp2HDhhUlAQAA6A0NCYAR7vbcc8+02mqrpQsuuCAdcMAB6eijj04nnHBCmj17dtpmm23S3nvvXZQGAACgNzQkAO6xxx655S8WKzzvvPOKoyndcsst6aabbsprIr3tbW8rjgIAANAbGhIAN9tsszR06ND04IMPpgULFhRHXxLdQaMr6JgxY3QDBWClHXfccenSSy9N559/ftppp52Ko8vaZ5990oUXXphfsd2deH98TnxevHoqO378+DR58uRcLr4DAAwkDQmA66+/flq0aFF68skniyMve+KJJ9I//vGPHP623HLL4igA1C5C2Lhx43JPk9BdfVIGtV122SU99NBDxdFlRdA76KCD0tNPP52HJ8Qr6q+JEycuEwIj8H3xi1/MfzfqOQAYaBoSANdcc8387wsvvJD/7U6MD1xrrbWKPQCo3VZbbZVWX331dNddd+XgFj1Plhbjz2fMmJHDXWdnZ3F0Wdttt12aN29eOvfcc4sjKW/HsThXis+J0PnVr341/fWvfy2OAsDA0pAAGOsdLVy4MFe8yzN48GDrIgGwUiLwPfPMM+m+++5LDzzwQBo9evQy3UCPPPLIdPLJJxd73Yv3xHujvrr33nuLoyntuOOOadSoUa/43GhNjBDYtRwADDQNCYChra0tDR8+vNhbVowDjK6gAFCPsvtnGdrmzp2bHyquzLCCddddN783ZqguRTfP7bffPt155535XJQBgGbRkAAY3XFips+RI0cWR5YVLYTx9BYA6lF2/4yWvxCtgNFds7tuoPUoxwxG3fWJT3widXR0FGcAoHk0JADG09gIgNF1ZmnrrbdeHiMYlfXUqVOLowBQmzLozZw5M/8brYDRGrjOOussd+bOFRkxYkSaNGlS/pzoOgoAzaohAfDRRx/Ns6NtsskmxZGXRRedGPv38MMPF0cAoDZl989oATz00EOXLNuw9dZb5weP9bYCRoiMHinbbrttuvXWW18xZjCWK4pzZdAEgGbQkAD429/+Nj311FNp8803T5/+9KeLoyntsMMO6R3veEeaP39+uvHGG4ujAFCb6P75mte8Jl1//fVLlmyI10knnZTmzJmTw2GExFpNmTIlD1uI9958883F0ZeDZpyLMgDQLBoSAO+555507bXX5olgPvnJT6bvf//76bTTTksnnHBC7hYalWycB4B6RAtftMpNmzatOPKSshtohMMIifW4/fbb8/v23HPP4shLS0hEK+MVV1xRHAGA5tDW3t6+uNju0Yvlliyo21v222+//Hrta1+b9+MJ6zXXXJO+9a1v5X0AWkNv1iHxWd2JVrno9rlgwYJux+nF+L9YvP3+++/PXTljNs/oGtqdqI/OOuusJUs6lO+NbqQhJik755xzXtH6t3SZrmLYw5VXXpkuueSS4siyeruOBaA66qlnGxoAAaiG/giAzU4dC8DKqqeebUgXUAAAAPqfAAgAAFARAiAATaWzs7PYah2teE0ADEwCIABNJZYKajWteE0ADEwCIABNpaOjo6VazOJa4poAoD8IgAA0nVmzZrVECIxriGsBgP4iAALQdGJdvVjYPdbra8YgGN85vntcQ1wLAPQX6wAC0OfUIQDQd6wDCAAAwDIEQAAAgIoQAAEAACpCAAQAAKgIARAAAKAiBEAAAICKEAABAAAqoq51AAEAABh4al0H0ELwAPQ5dQgA9J166lldQAEAACpCAAQAAKgIARAAAKAiBEAAAICKEAABAAAqQgAEAACoCAEQAACgIgRAAACAihAAAQAAKkIABAAAqAgBEAAAoCLa2tvbFxfbPXqxXJo+fXqxBwC166s6ZMSIEWn48OFpyJAhxZHm0NnZmebPn586OjqKIwCw8uqpZ7UAAtB0Bg0alMaNG5dGjRrVdOEvxHeO7x7XENcCAP1FAASg6ay99tpNGfyWFtcQ1wIA/UUABKCpRLfPVgh/pbiWuCYA6A8CIABNJcb8tZpWvCYABiYBEICm0kqtf6VWvCYABqYBEQDHjh2bTjvttHTdddelPfbYozgKAABAb2poAIzgd9RRR6ULLrgg7bLLLmnw4MHFGQAAAHpbwwLg/vvvny677LK0zz77pLa2trRgwYLiDAAAAH2hYQEw1j2KRXCvuuqqdPzxx+dtAAAA+k5be3v74mK7R/WsLl+vCRMmpBNPPDHPgnbqqaemq6++ujgDQCvozTokPqsWxx13XNp6663TM888k84555w0ZcqU4swrRU+UiRMn5u0rr7wyXXLJJXm7q5122ikdeOCBafXVV8/7ixYt6rZs+Vnl4u7LK9edvqpjAWh99dSzZgEFoOWMHz8+jRs3bklluOWWW+Z/u4oykydPzmPQH3rooeLosiLUHXTQQenpp59Oe++9d349+eSTOejFuVJsx0RmEfh6KgcAjSQAAtByttpqq9xad9ddd+XgttlmmxVnXnbAAQekGTNm5HDX2dlZHF3Wdtttl+bNm5fOPffc4kjK23EszpWile8Tn/jEK1r7br/99vxvd38fABpBAASg5UTgiq6f9913X3rggQfS6NGjczfOro488sh08sknF3vdi/fEeyMo3nvvvcXRlHbcccc0atSobj8XAAYyARCAllJ2/yxD29y5c/MyQ911A12RddddN7939uzZxZGXxhZuv/326c4778znoszyjBw5Mo8H7Pp+AGgkARCAllJ2/4yWvxCtgNFd89V2wyzHDEaoi66eHR0dxZnuRctgBMVoiZw2bVpxFAAaSwAEoKWUQW/mzJn532gFjNbAddZZZ6UnYxkxYkSaNGlS/pzoOroi5ayh0UIYM1svbwZSAOhvAiAALaPs/hktgIceemi69NJL8yuWg4iumPW2AkaIXLhwYdp2223Trbfe+ooxg2PGjMnnyqBZiu+w77775u8Qwa+WJSAAoL8IgAC0jOj++ZrXvCZdf/31S5ZiiNdJJ52U5syZk8NhBLRaRYCLWUTjvTfffHNx9OWgGee6tu7F8QieMUFMfIfoMgoAA4kACEDLiBa+aJVbesxd2Q00wmGExHrEUg7xvj333LM48tISEtHCd8UVVxRHhD8AmoMACEBLWF6rXKmcFKbsBhqzeS7dRXSvvfbK+xHeypbC6MIZi7tvscUWS8rH8g/nnHPOK/5OuTRE2HXXXZeUjdeFF15oMXgABoS29vb2xcV2j14sl6ZPn17sAUDterMOic9qRepYAFZWPfWsFkAAAICKEAABAAAqQgAEAACoCAEQgKbS2dlZbLWOVrwmAAYmARCApjJ//vxiq3W04jUBMDAJgAA0lY6OjpZqMYtriWsCgP4gAALQdGbNmtUSITCuIa4FAPqLAAhA01m0aFGaMWNGmjNnTlMGwfjO8d3jGuJaAKC/WAgegD6nDgGAvmMheAAAAJYhAAIAAFSEAAgAAFARAiAAAEBFCIAAAAAVIQACAABUhAAIAABQEXWtAwgAAMDAU+s6gBaCB6DPqUMAoO/UU8/qAgoAAFARAiAAAEBFCIAAAAAVIQACAABUhAAIAABQEQIgAABARQiAAAAAFSEAAgAAVIQACAAAUBECIAAAQEUIgAAAABXR1t7evrjY7tGL5dL06dOLPQCoXV/VISNGjEjDhw9PQ4YMKY40h87OzjR//vzU0dFRHAGAlVdPPasFEICmM2jQoDRu3Lg0atSopgt/Ib5zfPe4hrgWAOgvAiAATWfttdduyuC3tLiGuBYA6C8CIABNJbp9tkL4K8W1xDUBQH8QAAFoKjHmr9W04jUBMDAJgAA0lVZq/Su14jUBMDA1LABuv/326dxzz0033XRTuuOOO9Lvfve79Mtf/jIdccQRadiwYUUpAAAAektDAuA222yTvvCFL6Qtt9wyzZw5M1177bXp97//fVpjjTXSPvvsk44++uiiJAAAAL2lIQEwprx+5JFH0jHHHJP23nvvdOyxx6bPfOYz6cwzz0zPPPNMbh3cYYcditIAAAD0hoYEwKlTp6bDDjss3XjjjcWRl1x++eXpySefzC2Bm2yySXEUAACA3jDgJoFZsGBBWmWVVdJqq61WHAGA+h133HHp0ksvTeeff37aaaediqPLiqEHF154YX7Fdnfi/fE58Xnx6q7s0mWWVw4AGmlABcCtt946jRkzJofA6dOnF0cBoD7jx49P48aNW1KXxJjzpUWZyZMnp1122SU99NBDxdFlRYA76KCD0tNPP52HLcQreqtMnDjxFeFuypQp6ROf+MSSMssrBwCNNKAC4F577ZXGjh2bK+zrrruuOAoA9dlqq63S6quvnu66664c3DbbbLPizMsOOOCANGPGjBzuOjs7i6PL2m677dK8efPyzNWl2I5jca4nt99+e/535MiR+V8AaLQBEwBjTOBuu+2WK+rzzjuvOAoA9YvAF5OK3XfffemBBx5Io0ePXqYb6JFHHplOPvnkYq978Z54bwTFe++9tzia0o477phGjRrV7ecCwEDW8AAYLX6nnXZa2m+//dKcOXPy9i233FKcBYD6lN0/y9A2d+7cNHjw4G67ga7Iuuuum987e/bs4shLYwtjtuo777wzn4sy3YnvEd1Lo6Xw5ptvLo4CQGM1NABuu+226Tvf+U5+ehoV6eGHH77MzKAAUI+y+2e0/IVoBYwQ1l030HqUYwajO2eM9evo6CjOvKwsExPAfPnLX87fIyaC6dp6CACN1LAAGOv8nXTSSWm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"}}},{"cell_type":"code","source":"dfu = pd.read_csv(users)\ndfi = pd.read_csv(items, dtype={'article_id': str})\n\nALL_USERS = dfu['customer_id'].unique().tolist()\nALL_ITEMS = dfi['article_id'].unique().tolist()\n\nuser_to_customer_map = {user_id: customer_id for user_id, customer_id in enumerate(ALL_USERS)}\ncustomer_to_user_map = {customer_id: user_id for user_id, customer_id in enumerate(ALL_USERS)}\n\nitem_to_article_map = {item_id: article_id for item_id, article_id in enumerate(ALL_ITEMS)}\narticle_to_item_map = {article_id: item_id for item_id, article_id in enumerate(ALL_ITEMS)}\n\ndel dfu, dfi","metadata":{"trusted":true,"execution":{"iopub.status.busy":"2024-12-23T10:11:44.180998Z","iopub.execute_input":"2024-12-23T10:11:44.181329Z","iopub.status.idle":"2024-12-23T10:11:52.220293Z","shell.execute_reply.started":"2024-12-23T10:11:44.181304Z","shell.execute_reply":"2024-12-23T10:11:52.219259Z"}},"outputs":[],"execution_count":null},{"cell_type":"code","source":"df['user_id'] = df['customer_id'].map(customer_to_user_map)\ndf['item_id'] = df['article_id'].map(article_to_item_map)","metadata":{"trusted":true,"execution":{"iopub.status.busy":"2024-12-23T10:21:09.853272Z","iopub.execute_input":"2024-12-23T10:21:09.853847Z","iopub.status.idle":"2024-12-23T10:21:23.522758Z","shell.execute_reply.started":"2024-12-23T10:21:09.853798Z","shell.execute_reply":"2024-12-23T10:21:23.521806Z"}},"outputs":[],"execution_count":null},{"cell_type":"code","source":"#no of similar users for each user\nno_similar_users = 10\n\n#minimum number of items user must have purchased to be considered\nmin_purchases = 10\n\n#only consider transactions after this date\nstart_date = '2020-09-07'\n\n#whether to exclude items user has already bought from recommendation\ndrop_purchased = False\n\ndrop_from_neighbour = False\n\ntest_run = False\n\ntest_size = 1000","metadata":{"trusted":true,"execution":{"iopub.status.busy":"2024-12-23T10:11:54.933136Z","iopub.execute_input":"2024-12-23T10:11:54.933512Z","iopub.status.idle":"2024-12-23T10:11:54.938670Z","shell.execute_reply.started":"2024-12-23T10:11:54.933478Z","shell.execute_reply":"2024-12-23T10:11:54.937535Z"}},"outputs":[],"execution_count":null},{"cell_type":"markdown","source":"flatten([[1, 2], [3, 4]])  # Output: [1, 2, 3, 4]\ninteraction is compare the vectors of user 1 with user 2 to find intersection\nand then divide it by product of square root of their length of vectors\ni.e. cosine similarity","metadata":{}},{"cell_type":"code","source":"def flatten(l):\n    \"\"\" Flatten a list of lists\"\"\"\n    return [item for sublist in l for item in sublist]\n\ndef compare_vectors(v1, v2):\n    intersection = len(set(v1) & set(v2))\n    denominator = np.sqrt(len(v1) * len(v2))\n    return intersection / denominator","metadata":{"trusted":true,"execution":{"iopub.status.busy":"2024-12-23T10:11:58.514007Z","iopub.execute_input":"2024-12-23T10:11:58.514344Z","iopub.status.idle":"2024-12-23T10:11:58.520132Z","shell.execute_reply.started":"2024-12-23T10:11:58.514316Z","shell.execute_reply":"2024-12-23T10:11:58.519029Z"}},"outputs":[],"execution_count":null},{"cell_type":"markdown","source":"for every other user in dfal table, calculate their similairty with user. this creates a table (similarity score of user(u) table: n_user x similarityscore), then sort by descending, so the users with highest similarityy are at top of the table.\nthen turn the table index to list, let's say user 2 had the highest similarity with user 1: ([3, 2, 4], [0.9, 0.4, 0.2])  # User 3 is most similar, followed by User 2 then by User 4.\n![image.png](attachment:7b1208c9-22c4-4e0d-8172-37fa35ba7ffb.png)","metadata":{},"attachments":{"7b1208c9-22c4-4e0d-8172-37fa35ba7ffb.png":{"image/png":"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"}}},{"cell_type":"code","source":"def get_similar_users(u, v, dfal):\n    similar_users = dfal.apply(lambda v_other: compare_vectors(v, v_other)).sort_values(ascending=False).head(no_similar_users + 1)\n    \n    if drop_from_neighbour:\n        similar_users = similar_users[similar_users.index != u]\n        \n    return similar_users.index.tolist(), similar_users.tolist()","metadata":{"trusted":true,"execution":{"iopub.status.busy":"2024-12-23T10:12:02.869196Z","iopub.execute_input":"2024-12-23T10:12:02.869535Z","iopub.status.idle":"2024-12-23T10:12:02.875067Z","shell.execute_reply.started":"2024-12-23T10:12:02.869509Z","shell.execute_reply":"2024-12-23T10:12:02.873867Z"}},"outputs":[],"execution_count":null},{"cell_type":"markdown","source":"Imagine the following:\n\nTarget User (u):\n\n    User u has interacted with items [A, B, C].\n    \nSimilar Users:\n\n    User X: Similarity score 0.9, other purchases are [D, E].\n    User Y: Similarity score 0.7, other purchases are [E, F].\n    User Z: Similarity score 0.6, orhter purchases are [D, F, G].\n    \nWeighted Items:\n\n    User X: [(D, 0.9), (E, 0.9)]\n    User Y: [(E, 0.7), (F, 0.7)]\n    User Z: [(D, 0.6), (F, 0.6), (G, 0.6)]\n    \nFlattened and Aggregated:\n\n    Combine all weighted items:\n    D: 0.9 + 0.6 = 1.5\n    E: 0.9 + 0.7 = 1.6\n    F: 0.7 + 0.6 = 1.3\n    G: 0.6\n    \nSort and Filter:\n\n    Remove items [A, B, C] (already purchased by u).\n    Remaining items:\n    E: 1.6\n    D: 1.5\n    F: 1.3\n    G: 0.6\n    \nReturn Top 12:\n\n    Final recommendation: [E, D, F, G].","metadata":{}},{"cell_type":"code","source":"def get_items(u, v, dfal):\n    global i, n\n\n    #Gets users and their similarity scores in descending order\n    users, scores = get_similar_users(u, v, dfal)\n\n    #Create df_nn table with that users and their scores\n    df_nn = pd.DataFrame({'user': users, 'score': scores})\n\n    #Create a item column in df_nn, it consist for each row look up that row's user in dfal table\n    #since dfal is user x item, it retrieves all the items from dfal for that row of user in df_nn purchased  \n    df_nn['items'] = df_nn.apply(lambda row: dfal.loc[row.user], axis=1)\n\n    #Creates weighted_items column, for each row pairs up [item, score] of that row and assign it to weighted_item\n    df_nn['weighted_items'] = df_nn.apply(lambda row: [(item, row.score) for item in row['items']], axis=1)\n\n    #Combines all weighted items from all similar users into a single list, groups by item to calculate total recs score for each item\n    recs = pd.DataFrame(flatten(df_nn['weighted_items'].tolist()), columns=['item', 'score']).groupby('item')['score'].sum().sort_values(ascending=False)\n\n    #Filters out any items already in the target user’s vector v\n    if drop_purchased:\n        recs = recs[~recs.index.isin(v)]\n        \n    # Keep the first 12 and get the item_ids\n    #Tracks progress every 200 users and prints percentage by completion\n    i +=1\n    if i % 200 == 0:\n        pid = mp.current_process().pid\n        print(f\"[PID {pid:>2d}] Finished {i:3d} / {n:5d} - {i/n*100:3.0f}%\")\n    return recs.head(12).index.tolist()","metadata":{"trusted":true,"execution":{"iopub.status.busy":"2024-12-23T10:12:08.878011Z","iopub.execute_input":"2024-12-23T10:12:08.878345Z","iopub.status.idle":"2024-12-23T10:12:08.886417Z","shell.execute_reply.started":"2024-12-23T10:12:08.878317Z","shell.execute_reply":"2024-12-23T10:12:08.885289Z"}},"outputs":[],"execution_count":null},{"cell_type":"markdown","source":"![image.png](attachment:9d4e0844-7f2b-4717-8084-22b307c7012d.png)\n![image.png](attachment:1c513e97-be7d-435a-8be4-3ab0703a76a0.png)","metadata":{},"attachments":{"9d4e0844-7f2b-4717-8084-22b307c7012d.png":{"image/png":"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"},"1c513e97-be7d-435a-8be4-3ab0703a76a0.png":{"image/png":"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"}}},{"cell_type":"code","source":"def get_items_set(user_ids: np.array, dfal: pd.DataFrame):\n    #global variable declaration i stores how many chunks has processed\n    #n stores total no of users in this batch\n    global i, n\n    i = 0\n    \n    n = len(user_ids)\n\n    #fetches the id of the process currently running for debugging purposes\n    pid = mp.current_process().pid\n    print(f\"[PID {pid:>2d}] Started working with {n:5d} users\")\n\n    #retrieves items purchased by that userId from dfal table\n    #move user_id index to regular column after adding new numeric index\n    df_user_vectors = pd.DataFrame(dfal.loc[user_ids]).reset_index()\n\n    #send each row of df_user_vectors's user_id and it's item purchased columns as parameter for get_items\n    #assigns the list of 12 recommended items to new recs column\n    df_user_vectors['recs'] = df_user_vectors.apply(lambda row: get_items(row.user_id, row.item_id, dfal), axis=1)\n\n    #set user_id as the index and select or has only recs column\n    return df_user_vectors.set_index('user_id')['recs']\n","metadata":{"trusted":true,"execution":{"iopub.status.busy":"2024-12-23T10:12:18.343772Z","iopub.execute_input":"2024-12-23T10:12:18.344110Z","iopub.status.idle":"2024-12-23T10:12:18.350341Z","shell.execute_reply.started":"2024-12-23T10:12:18.344085Z","shell.execute_reply":"2024-12-23T10:12:18.349104Z"}},"outputs":[],"execution_count":null},{"cell_type":"markdown","source":"![image.png](attachment:fce3992e-87a7-49af-b86c-a69747e2daa2.png)\n![image.png](attachment:d10b4ec0-dad9-4789-9f64-1c5d16624e6d.png)\n![image.png](attachment:6c05099e-0b38-4087-bd18-f0a42f6cb1d8.png)\n![image.png](attachment:41c0c6be-5262-43bc-8878-c4ffe832c251.png)\n","metadata":{},"attachments":{"fce3992e-87a7-49af-b86c-a69747e2daa2.png":{"image/png":"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"},"d10b4ec0-dad9-4789-9f64-1c5d16624e6d.png":{"image/png":"iVBORw0KGgoAAAANSUhEUgAAAwkAAAKSCAYAAACZTZe4AAAAAXNSR0IArs4c6QAAAARnQU1BAACxjwv8YQUAAAAJcEhZcwAADsMAAA7DAcdvqGQAAHzVSURBVHhe7d0JmBTVuf/xd4Bh3zcRRB1EMCJiBI0QI4pgFBQ1KhgSxRATRI1JiF5NXBCX5x+vEXNVQAxyRSOKcYMAl4ghYLygAl4RSRQVRGQRZJFVhmX+/A51mqqmZ6Z7pnuWnu/neeqZ7qrq6qrq6e73Pec91Tl5eXkFBgAAAACBasFfAAAAAHBIEgAAAABEkCQAAAAAiCBJAAAAABBBkgAAAAAggiQBAAAAQARJAgAAAIAIkgQAAAAAEZXix9SGDh1qgwcPttzc3GDOIVOmTLH77rsvuAcAAACgtCp9T8LFF19sY8aMCe4BAAAAKK1KlySo5+C0006zESNG2M6dO928Y445xrp16+ZuAwAAACidStuTMGPGDFu3bp27Xb9+fWvZsqVNnjzZFixYYNOnT7cnn3zS3dY8Tz0OmuenefPmuVKmMCUbenx4vaK2EV4mRT1HMs8PAAAAlLdKmyT07dvXWrVq5W5v377d1q9f726LEoaTTz45uHco8FcPRJjGOFx77bV2xx13uPva5kMPPeQen4gSgvhttGvXLpYoKAmIX+4VtQwAAACoSCpdkqAxCGqFHzlypNWtW9fNmz9/vi1cuNDd9nxZ0sCBA+3888+PBf5+/rBhw2KJRffu3V0iocHR2uaePXts/PjxsfVWr17tWvzbtm3r1vfb0DpaV8mKEoxmzZq55dquHqd1evToYePGjStyGQAAAFCRVOqByxqToLEJ8Vc30vx33303uGfWunVr9zc8X0nFypUr3W2VK51xxhnur6xatSoWvGu94cOHW4sWLWJXV/KJinohNE+TEoglS5a45UpIxo4dGyknKmoZAAAAUJFU2oHLmnr27OnGJsSLLz/yrfhFadCgQSxJSMQnGokoSVASoWTF9y74+UokVGpU1DIAAACgIqnUPQnJ8q34KiU69dRT3W2VF+mqSKKkYtasWbGB0OoV8K38Wm/UqFG2Zs0ad1/CiYqffG+GeiBURhQuZ/JJSlHLAAAAgIqiSiQJM2fOjAXlvlRIJT9+nIIf0zB79mzX0u9b+f16bdq0SbgNP/neAA1g9vPC21eSUtQyAAAAoCKpEkmCEoB+/frZ8uXLgzkHxY9pUEu/bvvfX/A2btxY6DaKo14Hv/14RS0DAAAAyktOXl5eQXAbAAAAAKpGTwIAAACA5JEkAAAAAIggSQAAAAAQQZIAAAAAIIIkAQAAAEAESQIAAACACJIEAAAAABEkCQAAAAAiSBIAAAAARJAkAAAAAIggSQAAAAAQQZIAAAAAIIIkAQAAAEAESQIAAACACJIEAAAAABEkCQAAAAAiSBIAAAAARJAkAAAAAIggSQAAAAAQQZIAAAAAIIIkAQAAAEAESUIZ6tu3r82dO9emT59u3bp1c9O0adNszpw5dtlllwVrZadHH33U3n77bbvnnnuCORXXHXfcYQsWLLAxY8YEczKrrJ8PAACgOFmbJCjgmjx5cnCv9AYPHmyvvvqqvfXWWy6ge+edd1ywf8455wRrlMy+fftsz549bkpFUYFlRQw69+/f7441Pz8/mFN+unfvbqNHj3bJmV5Hnat58+bZ2LFjgzUAAACqtqxLEpQYKOg77bTTgjmld/3119vPf/5za9Wqla1bt84+/vhjW758uQt6a9asGayVuoULF9rFF19sffr0salTp7p53/3ud+355593CYl6GrLFL3/5S+vRo4fdd999wZzk6Lz/7W9/s//6r/8K5pSOtvf73//eTj/9dMvNzbVVq1a513Pbtm3WsGHDYC0AAICqLauSBLWgK5AfMWKEC+LTRS3PNWrUcIH7JZdcYoMGDbIrr7zS+vfv7wLYdGrUqJEdeeSRLoCFWcuWLa1p06ZpOR/nnXeeDRgwwGrVqmX/+Mc/7NJLL3VlXno9v//979uPfvSjYE0AAICqLauSBLVS9+zZ02bMmBHMSQ+VyOTk5BTZ0qzSHvVg3HvvvTZhwgRXlqRSlpdfftkuuOCCYK0o9RSoZEnjFDReQUnOyJEjrW7dui44VvmLH79QGtre3XffbX//+9/dPmnfnn32WTvxxBPdcvVmvPTSS7F91vnzAbPfxzfeeMOefPJJV5bj90m9AzNnznSP0aTeEPWEJOLPj45RfEnUuHHj3HgFbVfb+Mtf/hLbhnqFtG+iniGt70uoNP+5556LlX/97//+rzvvXbt2dcsTUSKgJOz//u//3PlYv359sCSx6tWrF7pvQ4cOdfPDJW3xr2f4/vDhw2Pn6p///Kf97ne/Cx51OD2HHqft33777UW+fn4//HkFAABIBwYuJ0FB3jfffGO9e/d2QeHll18eLDmcAjwlE6p3VxB61FFHuUCuc+fOwRqFW7x4sXuckpKtW7farFmzXGBYXDBbnBtvvNHOP/98dwzapoJMlUkp+FRLuoJ9tda/+eabLhmoV6+eDRkyxPWUeHXq1HG9NL/97W+tX79+1qlTJ7viiitcD4v2WZPGHSgIT4W207ZtW5s/f7475mOPPdauueYat0z7smTJEnf7s88+c8mL9t3vc15enisVeu2112zz5s120kkn2W9+8xtr166de0yYjvXoo4+23bt3u+fauXNnsKRw2rdjjjnGBebx+5YK9VzoXGpfP/roI9crotcj0f+R9v2GG26wZs2aueO6//77i3z9AAAAMoEkIQlPP/20PfTQQ7ZmzRoXmP7Hf/yH6yFQr0U8rXP11Vfbbbfd5gJqjWFo3ry5ffvb3w7WKNxf//pXVwazd+9eFxDqOUaNGmWff/55sEbJKAhXq/jSpUtd0PmrX/3KBaL/+te/XPCpIHbixIl28803u0nJghKd73znO8EWDg6wVoCqhEnatGnjAtUvvvjC/vCHP7hzonp/JQupUAKkVnYF92qp1wBu9aKolVyDi33Z2IYNG1wZmV4L7XP9+vVt9uzZdtVVV7nWdn+uFchrjEc8bU9BtY7jq6++CuYWbdOmTW7bOl9+31q3bm2nnHJKsEZyCgoKXKnaL37xC5cwrly50p3z+GRGvVU6D8cdd5wtWrTI/vM//9PNL+r1U09MScZ6AAAAFIUkIUlTpkxxtesKXJUIqIdAgXF8ec2HH34Ya6VWK/jq1atdMK3100m9DWq5V2BZHLU879ixw84++2yXiPy///f/7IgjjrAOHTq4oFf7p6BTZTuaVLsvTZo0cX9FLfDLli0L7plrjVcQrdb2F1980Z0XBbfJtNCHKbD3iYAGESsQV+9EYa3kCtC1z0qidFyezrUSFrXSt2jRIph7iPZLyZfOlxKMZGh7vifD75to/1Kh18qfO+3Hxo0brVq1au68h7Vv396VS3366acuKfXnsrDXL9VzDQAAkCyShBQoKFOLu5KF999/37V4qwSpKApIFcynO6D7+uuvXau4SoBURhOmVn5RMiOqX1cLtXopFJxqn3WFny5durjlu3btsieeeMK11Icn1fgXRtvSVZ+UPClg15gBtXJX1N97UKu7ehBq165tZ5xxRjC3YlEioNfUD173Cnv94hNUAACAdCFJSMLDDz8cG0ArCvi3b9/ubse3BqvcxbeC6zcU1OKrlmS1SqeTEgBtV4nKhRdeGMw1V2qjFv3wcx5//PH273//22699VYbOHCga9VWCZT2Tb0BKn1RoqGa//CkS7QWRqUyOgcqc9EVnzR4tkGDBq70JZPee++92D6HL3Or/VEPQ1HnWmMctFxlVCoHK01N/9q1a13PhHpbvve977l56i3S2I2S0muqki6NR9DAZp8EFPb6kSQAAIBMqVJJQkmvBKPgUzXvqiufNGmSu/KMgmFdW//dd98N1jpI5TeqE1c9uQI9BZEK6hR0J0PbVGmPAsVhw4a5q+skurqRBjSrRl3lNRoDoX3TFYp0dSQ9pwb6qmZfbrrpJnvqqadcQK8SKQWzCpZVCqXAWcGukotnnnnGPV5XVdKVgxI9r/fDH/7Q9TSo90B1+zputYJrm+mkRETb1fYfeeQRdwwKpHWO/D5rH7RMre+ffPKJvfDCC8Gjo9QL9Prrr7v6fvV46GpDGoiu36XQNtVin6wVK1bYli1brHHjxm4QtcqDVLKlQd+lof8bjUdQyZS2p+SnqNePqxsBAIBMoCchCQrCdPUclfaoVVdBuOrG9QNfCszDtK4CRdWP66+ujKP1ki030uUxNfhX9e+6IpIC30SP1TwF9ApuVe6jREYDXBU86nKgd955Z2zAswb9at91CdCzzjrLlRdpHIGC4j/96U8uAFXA27FjR3fpTl0lSOVMRV1VSaU7ajVXoK5JZTAKuh9//PFgjfTQZVWVDKnnQD+ApvEAGrysROzLL790r4fGUGigtcZJ6JwUda51KVElQX6siIJwTdquxh0kS2MVlGCoV0O9MNo39XJovEFpaN+ViOo10xgFlRnptSns9QMAAMiEnLy8vILgNkpB1+9X+Ytq9LnSDAAAACozehIAAAAARJAkAAAAAIggSQAAAAAQwZgEAAAAABH0JAAAAACIIEkAAAAAEEGSAAAAACCCJAEAAABABEkCAAAAgAiSBAAAAAARJAkAAAAAIkgSAAAAAESQJAAAAACIIEkAAAAAEEGSAAAAACAiJy8vryC4jSTUqlXLatasadWrVw/mAAAAAJmzb98+y8/Pt927dwdzMo8kIUnVqlWzevXquRdHL5JPFnJycoI1AAAAgPQpKCiIJQeKOxV/7tixw/bv3x+skTmUGyVJCcLOnTvdi9KwYUP3IpEgAAAAIFMUayrmVOypGHTXrl0uJi0LJAlJ0IuzZ88e90LVrVs3mAsAAACUDR+D+oqWTCNJSIK6d9TNQ4IAAACA8qJYVEmCYtNMI0lIggYpl0XGBgAAABRFMWlZXECHJCFJubm5wS0AAACgfJRVTEqSkCQGKQMAgKqMWCizkj2/ZfU6kCQAAACgWLocJzKnop1fkgQAAAAUih6EslVRzjdJAgAAAApFD0LZqijnmyQBAAAAQEROXl4e6WExGjduXCY/fw0AAJANTjzxRPv2t79tderUCeYcopbyjz/+2ObNm2d79+4N5iIV1apVsy1btgT3MoOeBAAAAKRN8+bN7Uc/+pEdccQRwZyoGjVq2Pe//307/fTTgzmoiOhJSAI9CQAAAMk56aST7Ic//KHdeeedhcZPP/7xj23Pnj02efLkYA5SQU8CIgYMGOAmAACAikY9BMcee2ysB+GYY46xvLw8Nx155JFunqcyo2Kv4tNhgN12//12fzAN7RnMr+A6DrzNbhvYMbhXedGTkITy6kk4++yzrWPHjjZu3Dh33ycIL7zwgvsLAABQERx99NH2k5/8xGrWrBnMOdwXX3zhYhrFVFdeeaWb9/zzz7u/8RRoX33yZpt1+zibE8w7e+AAWzv5BfsouF9Rad8vtVfs95Mzt6f0JAAAAKDC69q1q61fv97uuusuu/322w+b/vjHP9pRRx3lehqKd7adHZcgyJxKkCBkE3oSkpCOngT1Aii7btmypTVr1sx27dplEyZMsA4dOtipp55q48ePt61bt1rr1q3tqquuspUrV1rnzp3dY1Wz98orr7hehfA2Nm7cGHtcw4YN7dprr3Xz5fPPP4/1QAwdOtTWrl1rJ598srvKQHgZAABAaWkMgjz33HPubyIqGdLyDz74oOj1ew61+7/1kd3+eDhFiDr7uvutT9vgzrbF9vTvDyYQB1vx37LleX2sSwMt/PxgsqFtdt8cW0+JyND7z7DNE39vLyxzM2LC2972/tMHewRU+jS4i7lNHvD5a7fbuLnBHbetPna0u/25LX6/ibWL9SR0tAG3XR3sS/zjSo6ehCzTvn17+/vf/+4y6mXLltlFF11k7777ruXn57t6PVHSoBdd3W+zZs1yAf3dd99tixcvdsv9Nh544AF3XwmGTxDUjeczdgmPX1CCoKRk9OjRLunp0qVLsAQAAKDi6NiqiW3bvDa4dzgXxNusWMzz9Ip2dvV1ZwdLzRqcfIbZy8GyAwF7Hy2bO8cWHwjdu3QIVurZ0Y5e9dZhCYKSjPC2DyUI7Wz5xIPzbr99ltl5t9kAty0lAX2syYFk4uCyj6zJyT6V0LJLY/ty8HFDD6QUlQNJQhn617/+FQv233zzTatXr57Vr1/fdc+pl0D096OPDua4ifhtqPdASYF6FbSNHTt22MyZM4O1zN566y23TAmE6PnWrFnjJiUhTZo0cfMBAABKS799kOwvBVevXt3FITt37gzmRH20brM1aBId6HxIR2vZ+HObFepl+GjyW/Z5246x4Hvb+6/Egv9Dyz6yxSvM2n37YLx19reOts//Hd9T0dG65Jktnh03/8gDMVNom2ZzbM77fltHWpMD6ccrsfEHWrYtuH1gWYMG1mWwH3yt3oYm1tInKhUcSUIFoABeb5bjjz/e3VfvAgAAQLZRmdE999zjfkth4cKFwdw4azfbtlDQny5KGDbndTmQCpxtHRsvtjmHlf0oqN9s6+N6F4rUoeWBsL8oKnfyPQmaDi9vqqhIEsqQBuz4lv0zzzzTtf771n2NO/jOd75jmzdvdr0Eqdi+fbvrlTj//PODOWZnnHGG66FIdVsAAACZopLpP/3pT65lffXq1cHcOMtesLdWHW19bhtwIKD3OtqA63T/I1u/5cCyUHlRx4Fn2NGrPooNcm7gEoGDosvm2Edb2lmXgR2tyYrFCQZBH1iu5w1t2zmQtNjJlwblRaKB1WbL/+/AFpYttuXWxc6OXZ5Vy3y50VrbvO1oO6OSXg61epMmTe4ObqMQtWvXTroLrTCdOnVy2zn33HOtT58+lpuba08//bTt3r3bLW/UqJEbNzBlyhTbtu1gN5XGKiiZ6NWrl0selHXL0qVL3V9tU9TzoIHOvXv3dr9gqOf4+uuv3falW7dubpDzZ599lvA+AABAaegH1DSYdsmSJcGcKC1TPKNy6I8//rjYuOqzhbNtdZuL7OpBF7i45txz29mXr46zNzZq2Wpr3vsHNugCzT/XutT90J7+43Q7sMian3Smtcsx+9alP7AL4pbJZ/U62aAeZm888jdLFAXFb/v0FqvtzTfesDf3HXjcZT8I9uU4+/q1e+xpV/ix0Zaub259Lhvknu/cc3Pts/erWRP70N5c+pEtfXO/dRr0A/uBW3ZgOr25rX5zaWx/Skq/MfHNN98E9zKDqxslIV1XN5IXCvmNg/jfRAAAAKgszjrrLDvnnHMK7R1Q42ibNm3soYcecg2fmVLsbxQkceWkyoCrG1URKkHSVYqKGrAMAABQUc2fP9/mzp1baA+Byp+feeaZjCYIxetoA7onGrCMROhJSEImexLUg6DyI12xqLBeBgAAABSv0J4E9SCcd/Sh3z2o5MqiJ4EkIQnpSBIAAACAdKDcCAAAAOVKg2RRdirK+SZJAAAAQKFKe4VHpKainG+SBAAAABSLHoXMqmjnlyQBAAAAxaJHIbMq2vklSQAAAAAQQZIAAAAAIIIkAQAAAEAESQIAAACACJIEAAAAABH84nIS9IvLn3zySXAPAAAAKD/t27fnF5cBAAAAlC2SBAAAAAARJAkAAAAAIkgSAAAAAESQJAAAAACIIEkAAAAAEEGSAAAAACCCJAEAAABABEkCAAAAgAiSBAAAAAARJAkAAAAAIkgSAAAAAESQJAAAAACIIEkAAAAAEEGSAAAAACCCJAEAAABABEkCAAAAgAiSBAAAAAARJAkAAAAAIkgSAAAAAESQJKBYPXv2tA8//NAee+yxYE56TZ061W1fz1PR+GPfunWrm955551gCQAAQPYiSQCS8PTTT1vDhg3t9NNPD+YAAABkL5IEAAAAABEkCWUoUdmOSm3CJSxa5ktbNGl5mO77ZWvWrLErr7wyWGJuO1oeXieVEqH40pr47bdo0cLNi1+mvytWrLDbb7/d3Re/L6J98Pf9tv2yRLSu1vH7ru3759VUUUuTAAAAsgVJQgWiYLhfv372wAMPuNIWTf379w+WHgy2u3XrZj//+c/dsoULF9rdd98dCZjPPvtsa9WqlVs+Z84c6927d1IBtdYZN26cC8L9c7du3dqef/75YA2zc88910aPHm0XXXSRW2/QoEHBkuKdcMIJsf16+umn3XGEExBPCYLW0XPceOONbt7w4cPdsfr90rbmzp3rlgEAACD9SBIqmFq1atl3vvOd4F6U6uFffvnlWOA+adIkt/6ZZ57p7ota3G+55RZ3++2333bLjzzySHe/KFdccYULwEeNGhXMOZye9/7773cB+rJly1zQn6zwfr355pu2e/duO+6449x979FHH3X7MHTo0MOSgA4dOpSo98D3SoSnr776KtLrAQAAgCiShApEQbha6nv06OGC2XBJjwJkBdBXX311LNh94oknrEGDBm65p+DdB9gK6PPy8iK9AYU5+uij3TbXrl0bzClb6rU49thjI/vv+eTir3/9q9vHVEqolFj5Hgg/NW/e3J0bAAAAJEaSUMEoeFUQq2BWJTZq2Q+X5TwdXGUn3QHv559/HtwqH0qIxo4d6xKk+CRASYNKjHS8KsXS+Ug2UaAnAQAAIHUkCeVArfaiQFdjCAoTDtx9ic8PfvCDhLX8paUSIAXhv/nNb4I5qQmXNWlQsoL6VM2YMcP1euj4CgviP/30U8vPzw/uFY+eBAAAgNSRJJQhBfrPPPNMrJxIg4o1bsBT0hBu8VawrPIjXy6kQczqXVCZkV8nXVf60XNogLAGFPtth8udiqLHaqyEL4XSWAXtV0losPK8efPs1ltvdcmGnl/74fdJx65z4Ac1AwAAIP1y8vLyCoLbKETjxo3tk08+Ce6hKvFXfXr99ddJTAAAQIXQvn1727JlS3AvM+hJAAAAABBBklAFqL5fg3V9yU78VNQPm+EgX0qlgdAAAADZjnKjJFBuBAAAgIqCciMAAAAAZY4kAQAAAEAESQIAAACACJIEAAAAABEkCQAAAAAiSBIAAAAARJAkAAAAAIggSQAAAAAQQZIAAAAAIIIkAQAAAEAESUIV8dhjj9nWrVvd9NVXX9ntt98eLDmooF5t2zHiKtv568uCOZXHNz88x7b/YajtP6JJMCd9MrntTNrT82Tb/uiNtvekY4M5h7zzzjux/wXdBgAAiEeSUIWsWbPGLrroImvevLndf//9wdyiKUhW8qAkwks0L5P0fNvG/coFvhWBC8DjEodE8zJFz6XzoamwRKAop59+ujVs2NDmzJkTzAEAAIgiSUBEtXWbglvlz/duFDSubznbdgVzE8vZttNythe9TkllctupUhKSf3YXq3fXRGsw9I9WY95S++aa7ydOTnbvsWobvg7uAAAAJI8kAU7Ojm+s3shnrPZz/wjmJC/csq1JLf+eD/T9snA5k1+mx2u+lodbxnf372415yy2Wi+/6e4XRvusfdcxpFtJt62gXT0L/rjje16K6g3QudA59D0omrS+VPtys9sf/ZUaS1a4v/tbNHJ/vdy571v9m8fF1gMAAEgFSQJKxbVsf7+b1Xn0VdeyrSmcaOz6eT/L2brTza8//HEraFg3kkTIN4N6uR4MrVNt+VrL79PVzdd2FOxWRjqmGouWxc5JONFQQrD7ou6xc1brxTcO6w3Yc3YX29+qqVueeyBRUu9BWZV3AQAAkCSg1Apq5treznnBvUMU9CopqD1ptruvIFk9A/s6HBUJeKt/uCqWWOS++7F7TDYExPHH6elcKYGo8cFn7n6NhctcSdO+E9q6+1JtzUar88R0d9v1FtTKtYL6ddx9T9vefdn3rNrqr2LbAgAASAeSBJSKyllqP/U329uj08HSmdDgXZXAFDRvZDvuGRwrm1ELezwlBp56DjJVOlSWfIC/fdR1kXIhUQ+Begr8OdE6+1s3C5YeVH3ZF7FzoASg3u8mHFY6pF4a8c8FAACQLiQJKFL1NRuDW1EqIQoHsfV/8ZgrjVEL+c5bBsQSBbWQ+0G2fqrsSUDOxq2Wk78nuHdIeICzjk/HqeNVWdHuy8+KJAoqIQqfE02plFZp3ML+Ns2tzuPTKn1CBQAAKh6SBBRJAXFBg7q2L6+Vu6/gf2/XDpHW/7BwUlF9xTp3hZ1EvQdlRb8Hod+F+PDDD61nz57B3NLRFYNUYuXLg1T2ozED4db/MHeFoQPnwdO5U89Lqpcu9XyCUPfBFzIyMDkT5wwAAFQuOXl5eQXBbRSicePG9sknnwT3Kif9mFrv3r1t6NChNnfu3GBuctQCHg701QruxxDEL8vJ32u1x02L1cgrgN558xWRchr/eL9M4xQStaLHb9vTGIdkW90V5I4bN879LsDw4cPt+eefD5aUjgL8b4ZeeCBZqOHua1xF3YdfcreVSKk3paDBoTEE4XMmh523bbtiQb+SAA3kDq/vxT+vF37+ZE2dOtVatWrlfjchLFPnDAAApEf79u1ty5Ytwb3MIElIQlVPEio7/aqwAt6qeOxFKSxJEM4ZAAAVV1kkCZQbIWspMdq6dSvBbgo4ZwAAQOhJSEK29CRcffXV7nZ+fr49/PDDdv/997v7qFrUS3DCCSe42xp3kKgnAQAAVFyUG1UQ2ZAkAAAAIDtQbgQAAACgzJEkAAAAAIggSQAAAAAQQZIAAAAAIIIkAQAAAEAESQIAAACACJIEAAAAABEkCQAAAAAiSBIAAAAARJAkAAAAAIggSagiHnvsMdu6daubvvrqK7v99tuDJQcV1KttO0ZcZTt/fVkwp/L45ofn2PY/DLX9RzQJ5qRPJredSXt6nmzbH73R9p50bDDnkHfeeSf2v6DbAAAA8UgSqpA1a9bYRRddZM2bN7f7778/mFs0BclKHpREeInmZYICXAW628b9yk1l8ZzJcAF4XOKQaF6m6Tl1XlJN7E4//XRr2LChzZkzJ5gDAAAQRZKAiGrrNgW3yl+NDz6z+r94zBoM/aObcrbutF0/7xcsjcrZttNytu8K7qVXJrddUkpG8r/fzaqvWBfMSWD3Hqu24evgDgAAQPJIEuDk7PjG6o18xmo/949gTvJ8i7af1NPg+TImvyzc6u2X6fGar+WFlchIYQmM9ln7rmNIt5JuW0G8ehb8ccf3goTPWfwx61zoHGry62j9sG8G9bKcAwlAtZVfBnOicue+b/VvHmfVvtwczAEAAEgeSQJKxbdo13n01ViLfzjRUMu/egA0v/7wx62gYd1IEiEKeJUAaJ1qy9dafp+uwZJDFGDv63CU5b77cTCnYtMx1Vi0LHZOwomGEoLdF3WPnbNaL75h31zz/Wj50tldbH+rpm557pzFln/gvk8ylDDsb9Pcak+a7e4DAACkG0kCSq2gZq7t7ZwX3DtEQa+SAh/MKkiueSDgVbAfblWv/uGqWGKhJECPCQfErrV91HXufo2Fy9zfyiD+OD2dKyUQKqcSHZNKmvad0Nbdl2prNlqdJ6a72zWWrDCrlWsF9eu47SlhqPXX+fQSAACAjCFJQKkoUK391N9sb49OB4P50ODd/S0aWUHzRrbjnsGxshm1sMcL9w6oTCbc6q77vjVeCcaOkYMjLe4VlQ/wldzElwuph0A9Bf6caJ39rZsFSw+qvuyL2DlQMlHvdxPcud7dv7vrmdF5AQAAyBSSBBSp+pqNwa0oBarhINYPMFYL+c5bBsQCebWQ17trYizQ11TS8QPqccjJ3+OSj/KUs3Gr24944QHOOj4dp45XZUW7Lz8rkiiohCh8TjQVF/irF0G9E+px8AmGkg3dL2osBwAAQKpIElAkBcQFDeravrxW7r6C/71dOxQ6NiCcVLgr7+zek7D3oCTye53itlfkFX3i6Pcg9LsQH374ofXs2TOYWzq6YpBKrHx5kC8BCrf+h7krDB3Yb0/nTj0vqQb14cQjllgcSDaUPClJ8+VLpZWJcwYAACoXkgQUSYGn6t93/eIS13Kt0iH1FvhWbz9mwE9qMVf5kUpjFNTW/cNf3BiD8DrxA5cLE79ttaJre6n0Qrz55psu4NXvAhx55JHB3NLxJVY6Vu2XyoXUs+LHVSiRilzZKO6c6a8GK/tz6rZRxr+xUJRMnDMAAFC55OTl5RUEt1GIxo0b2yeffBLcq5z0i8u9e/e2oUOH2ty5c4O5VYN+VVgBb1U89qJMnTrVWrVq5X5cLR7nDACAiqt9+/a2ZcuW4F5m0JOArKXEaOvWrQS7KeCcAQAAoSchCdnSk3D11Ve72/n5+fbwww/b/fff7+6jalEvwQknnOBua9xBop4EAABQcZVFTwJJQhKyIUkAAABAdqDcCAAAAECZI0kAAAAAEEGSAAAAACCCJAEAAABABEkCAAAAgAiSBAAAAAARJAkAAAAAIkgSAAAAAESQJAAAAACIIEkAAAAAEEGSUEU89thjtnXrVjd99dVXdvvttwdLDiqoV9t2jLjKdv76smBO5fHND8+x7X8YavuPaBLMSZ9MbjuT9vQ82bY/eqPtPenYYM4h77zzTux/QbcBAADikSRUIWvWrLGLLrrImjdvbvfff38wt2gKkpU8KInwEs3LBAXmCtC3jftVbCqL5y2OC8DjEodE8zJJwb+SAJ2TwpKBwpx++unWsGFDmzNnTjAHAAAgiiQBEdXWbQpuVQw523ZavbsmWoOhf3RTvZHPWM6Ob4Klh2i9nO27gnvplcltl4QSkm+GXmi1x01z56T+Lx6zGh98FiwN2b3Hqm34OrgDAACQPJIEOAq8FYDXfu4fwZzkKWgNt/arp8HzZUx+WbicyS/T4zVfy1NtFRftc2HJQ2mVdNvxvSDxPSDhcxZ/zDoXOoea/DpaX7SNPd1PdAlCwsQgkDv3fat/8zir9uXmYA4AAEDySBJQKgqG87/fzeo8+mqstT+caOz6eT/L2brzYIv38MetoGHdSBIh3wzq5XowtE615Wstv0/XYEnlpWOqsWhZ7JyEEw0lBLsv6h47Z7VefMO+ueb70fKls7vY/lZN3fLcOYst/8B9JQj78lq5c7jne51jCURFKMECAADZhSQBpVZQM9f2ds4L7h2ioFcBbe1Js919Bck1DwS8+zocFQlqq3+4KpZY5L77sXuMX17QoK7tuGdwwhb3ii7+OD2dKyUQviegxsJlrqRp3wlt3X2ptmaj1XliurtdY8kKs1q5VlC/jhU0a2j7D0w5W7a7BEKJlygZAwAASBeSBJSKyllqP/U329uj08FAPjR4d3+LRlbQvFEsyNekFvZ4Sgw8lcn4VndtWyUzvjXetbgPvbBSJAo+wN8+6jp33L5cSNRDoJ4Cf060zv7WzYKlB1Vf9kWs50HJRL3fTYiVDimBqDV1vrvtE69wYgUAAFBaJAkoUvUDAWkiKiEKB7EaPKtAXi3kO28ZEEsU4gceayrp+AH1OGh75S1n41bLyd8T3DskPMBZx6fj1PGqrGj35WdFEgWVEIXPiSYlSMXRc/teBQAAgEwhSUCRFJSq5Ee18KLgf2/XDpHW/7BwUlF9xTp3hZ1EvQcl4bZzYHtuu0nS70HodyE+/PBD69mzZzC3dHTFIJVY+fIgteBrzEC49T/MXWHowH57OnfqeSlJj4g/p/m9TnH3i3tuAACAksjJy8srCG6jEI0bN7ZPPvkkuFc56cfUevfubUOHDrW5c+cGc5OjFvBwoK9WcD+GIH5ZTv7eyJV3FMTuvPmKSDmNf7xfpnKZRK3o8dtWT0Ldh18K7iVHicG4cePc7wIMHz7cnn/++WBJ6SjAV+lTQc0a7n5435RIqTeloMGh1v7wOZPDztu2XVb3wRdcSZGubqSB3OH1w+K3H7/tZE2dOtVatWrlfjcBAABUHu3bt7ctW7YE9zKDJCEJVT1JqOz0q8JKEqrisReFJAEAgMqpLJIEyo2QtZQYbd26lQQBAAAgRSQJVUjr1q3tr3/9q6vRV61+trvxxhtdgnDCCSeQIISoZ0XJ09lnnx3MAQAAiKLcKAnZUG4EAACA7EC5EQAAAIAyR5IAAAAAIIIkAQAAAEAESQIAAACACJIEAAAAABEkCQAAAAAiSBIAAAAARJAkAAAAAIggSQAAAAAQQZIAAAAAIIIkoQxNnTrVtm7d6qYPP/zQevbsGSwBAAAAKg6ShDLUv39/a9iwoT399NPBHAAAAKDiIUkAAAAAEEGSAAAAACCCJAEAAABABEkCAAAAgAiSBAAAAAARJAkAAAAAIkgSAAAAAESQJAAAAACIIEkAAAAAEEGSAAAAACCCJKEMTZ061bZu3WpXX311MAcAAACoeHLy8vIKgtsoROPGje2TTz4J7gEAAADlp3379rZly5bgXmbQkwAAAAAggiQBAAAAQARJAgAAAIAIkgQAAAAAESQJAAAAACJIEgAAAABEkCQAAAAAiCBJAAAAABBBkgAAAAAggiQBAAAAQARJAgAAAIAIkgQAAAAAESQJAAAAACJIEgAAAABEkCQAAAAAiCBJAAAAABBBkpCk6tWrB7cAAACA8lFWMSlJQhL27dtntWrVCu4BAAAA5UMxqWLTTCNJSEJ+fr41btw4uAcAAACUjyZNmrjYNNNIEpKwe/dul7U1b948mAMAAACULcWiNWvWdLFppuXk5eUVBLdRhGrVqlm9evVs//79tnnzZtu5c6ft3bs3WAoAAACkX25urtWpU8f1ICge3bFjh4tHM40kIUXqUVAGx0BmAAAAlAWNQVCJUVn0IHgkCQAAAAAiGJMAAAAAIIIkAQAAAEAESQIAAACACJIEAAAAABEkCQAAAAAiSBIAAAAARJAkAAAAAIggSQAAAAAQQZIAAAAAIIIkAQAAAEAESQIAAACACJIEAAAAABEkCQAAAAAiSBIAAAAARJAkAAAAAIggSajgunXrZtOnT7e5c+da37593bwxY8bYggUL7I477nD3i5NoG1WFjn3atGk2Z84cu+yyy4K5AAAAKEpWJQlDhw61efPmuQBak25rXmnFb1fTG2+8Yf/1X/9lnTt3Dtaq3LL5GPft22d79uxxEwAAAIqXVUnCaaedZvfdd5/7q+m9996zQYMGpa31fMeOHfbxxx/bp59+agUFBdajRw+75ZZbrG7dusEalV+2HePChQvt4osvtj59+tjUqVODuQAAAChKViUJ1157rc2YMSO4Z67MRE499VT3t7S+/PJLl3RceeWVdvfdd9vmzZvt2GOPtQsvvDBYo/KrCscIAACAojEmoYT+8Y9/uAC6Ro0a1qRJE1eS8+ijj7oSHZXqvPXWW/bSSy/ZBRdc4NZXb4bGBPztb3+zZ5991i2fPHmyW3brrbfazJkz7Z133nHT66+/br/+9a/dsmSptVzPp+1qG0qWfvSjHwVLSyb+GIs6Bj3/c8895+bp+P/3f//XJkyYYF27dnXLPa334osvxtb75z//ab/61a/cMp3D0aNHu8f6cqd777031ouhcxl+Di2/4YYb3LJf/vKXkXOoXoPvfve7RY7puP/+++3pp59229P05JNPWrt27dw6MmzYMPdaaHvapz/+8Y/uvIa3pePX9vU8AAAA2SKrkwTfg/Duu++6v+l09NFHW82aNW3//v22a9cua9u2rQswly5d6gLJlStXunk//elP3bpe06ZNrVq1avazn/3MBg4c6OadfPLJtmnTJnvttdfs7bffdkHxpZdeapdffrlbXhwNyFWQrG2/+eabLniuV6+eDRkyxPr37x+slbr4Y/Tij8E/f15enitV0nEouTjppJPsN7/5TSzw1voqXTrqqKNs+fLlbr01a9ZY7dq13Tq//e1vXVLx4YcfukRE21CZkLahBELjJo455hh7//333fL169db48aNbfDgwXbFFVe4ZEYDlDVpnxs1auSetzDf+973LDc31yUI+fn57jn0eom2qSSrfv369tFHH7mk4pRTTrFmzZq55QAAANksa5MEBZRq7fVBezopoP3FL35hRx55pH311Vf2f//3fy4w/clPfuJan0eMGGGPPfaYbdmyxQWxHTp0CB5pLth+5ZVXbMmSJcEcc8GxSnx0tSJt99///rfVqlUr0qpdlPPPP9+tP3HiRLv55pvdpGShYcOG9p3vfCdYKzWJjtGLPwY9v4Lp2bNn21VXXWW33367O6Z169a5UiUF+ko4vv/977tAXi3+Ol6tpyTj97//vXutlGQoYFegrnOh3goF70r2lEgp6NeYCfVEaPnVV19tf/rTn6xNmzYumfniiy/sD3/4g/3Hf/yH/fznP3evSVGWLVvmnks9GbNmzXLzfEJ31llnuQRC83VMWufxxx+33bt3u+We9r9fv35u7AMAAEC2yMokQeUkfnzC9ddfH8wtPQXOalFWicnZZ59t27dvt2eeecYFywqS1VL+l7/8xZXpPPjgg65ER4GmAlhv27ZtrhU9TC3aCvAVkCq4V0Cslvrw4wqj1u3WrVu7dVV6o/3TdN5557nl2odUFHWMXvgY/PN/8803LsD3tL6Cdh1/ixYtXKKkhGnr1q3297//PVjrkI4dO7oEQiVC/hjU61CnTh13bOqZ+eSTT1yicM8997j9U2+LehPmz5/vemI6derkEgiVLB133HG2c+fOYOuJffbZZ7F1tJ29e/e65zrxxBOtefPmLiHQfnh6fh07AABAtsu6JEHBo4JFtebrSkfp5K/8oxr1SZMmudZqjQOQO++805X25OTkuHIf1bdv3LjRLSuKEgslMmoNV2u9trt48eJgafEUWIta95944gl33OFJ4wJSUdQxloaCbyUMuhypegfiVa9e3f3VGID4Y3jooYdcyZhKmpQAKGFQ2ZF6OjS4WkmZzuGUKVNcsqIrW2m8QUl/F0HlXjqvurqTEgdP+6jkDQAAINtlVcSjBEEt+qphT3eJkfgr/6jF/uGHH461pmvQqlrgFaAqKFdgq1Ib1doX59vf/rYLoFUaozKZp556yho0aBAsLZ7KXNSKrnIjlcrouMNTqmUwhR1jYXSZWf/8Cs49nQ/1MCghUI+CWu19+VX37t2DtQ7Rco0j0OM0JiF8DCpj0uvaqlUr1+OiEh+dZyUcOn8qZ1KPh5LCSy65xP3eg86hLt9aEv/617/c9vT6qVfH0+tc3DgHAACAbJA1SYJq2jWgVle1KSww9j8YluwvFSdLJStqcVZpjC4dqlbs6667zgXOxfEDghXQKsgdP368C65ToZ4LPb+CZZUGjRw50saOHeuuBFQWV91RmZRKc/zz6/gfeeQRN55BJTovvPCCC7x1hSD1tOgc+fXUS3Hbbbe5RGDDhg1uXIIeq2X/+Z//6cY+qLdFx6GrR+kKQzq+c8891/VMKPE4/fTTXdKgx2icg3qSlECsXr062MPU6PVctGiR60lQ75B6aMaNG2cDBgxwiUyYElOubgQAALJN1iQJupKQruijsQi+pt1PmQ7iFAAr2P3666/thBNOcINeVR6jFvbiqKRHgbQSnN69e7ukQdtLhQbvqgdCAbNq+5Uw6cpC2h/V2meaLiOqIFq9EMcff7wbD6FB0xoroIDe1/0r6Ffi4vdTSYXW0+OU2Gkch0qdNB5A29B5VFKhYF/HokTkjDPOcMenKyR98MEHLqHQwGolaNqeJpUEaXC0BhqXlAaeK/nxvRXt27d3V2PSfgAAAGS7nLy8vILgNoAi6OpM6vVQ0qOSMq5oBAAAshWjMIEk9ezZ0/VW6fcbUu3tAQAAqEzoSQAS0DgI/Tq0rqSk8qhvfetbrsRpz549rrRLJV4AAADZip4EIAGNJ9F4CP0CtMZHaDC5fh1ag5hJEAAAQLajJwEAAABABD0JAAAAACJIEgAAAABEkCQAAAAAiCBJAAAAABBBkgAAAAAggiQBAAAAQARJAgAAAIAIkgQAAAAAESQJAAAAACJIEgAAAABEkCQAAAAAiCBJAAAAABBBkgAAAAAggiQBAAAAQARJAgAAAICInLy8vILgNoAsUbNmTWvSpInVqVPHcnJygrnAQQUFBbZr1y7bvHmz5efnB3MBADiEngQgyyhBaN26tdWtW5cEAQnp/0L/H/o/0f8LAADxSBKALKMeBJIDJEP/J/p/AQAgHkkCkGVUYgQki/8XAEAiJAmwO+64w+bOnWt9+/YN5qA8DB061L0O+islfV3oRUAqivp/6datm02fPt0WLFhgkydPDuamh/7P582b5/7PKzJ/DtJ9/KWhfSnp/sR/zmSSP3djxowJ5gCoTEgSKgEFifpQ1xd1eKooX1r6AojfN/+lUNi+hwODor60yvILDZl11lln2cSJE+3xxx+3k046KZhbeel4nnzySRs4cGAwJ310fnSe7rzzzmBO4fy61113XTDnoFGjRh02L1W33HKLbd++3U477bSMHCcAoOIiSahEpkyZ4r6s/VTeX9o+AWjWrFlkv8aPH28NGjQI1joovO+6ffHFF1f4FkRE6f9NQbGC43QrLNBF8YYMGWI7d+505y/s7bfftu7du5f4c0KtwPXr17eNGzcGc9Jr3Lhx1qNHD7vvvvvc/Yra6rxw4ULr168fSRKAKockASWiL/QbbrjBli5detiXp778r7rqquDe4RQULF++3Dp37hzMQVXwxhtv2ODBg10i8MEHHwRzURo6l0rSX3311WDOIeppnD9/vp1zzjlZ0XMDAChbJAlpcuutt7pWdU26XdbiS34StcbFrxNfrnTqqae6GmG/vKiW/vPPP9+1Mk6bNi2Ykxq1TurxSjbSoahjiy950jGGy5d8SZPKM7RMt/04AC0Ln5NkSrx03vz6mtQ66o9Tjw8vS6U3xbe0+sfGH0cydIwvvPBCZPIlLb4cqLD5l112meshuvHGG93ySZMmJd26qm357WofwnT/rrvusqZNm1qvXr0Oe34JP1774nszFCQ/+uijrhVd+6P3nv7qvg+M448rvCwZeg7/WE3h/ZJjjz3WPWf8tvW4+P0IlydpO5rCr4kek4g/hvCxa7unnHKKSwSUgCXy5ptvur9nnnmm+5ss/V898sgj1rJlS9f7F/5fLc37Kcyvp7+Jns9/hsW/n4p6D8bvW/xz63nC7+fwe7OwZf59F/5MjX8e7ZOfPH8//NmU6FzEf3bFfyYkeq5kxD8u/nVq0aJFZHn88c2aNSuyvoSPMXxeNM9vJ3xOE/HrpvLZB6B8kCSkgQKTyy+/3F13XJNul2WioA90Xevcl/Oo3EfBQ/hDWB/MnTp1shEjRrh19Hfbtm3BUnP7rdKEm266yS3Xh3ifPn0O+0Lz1Auwbt06mzFjRjAnNWr9VK2zuvJLq6hj05eczoN6PPz50T5fe+21kfOTm5trHTt2dMffs2dPt44eO2jQIBeY6XHDhg1ziY3/kkxEX5g6Z3oN/GN0nkTbW716dWw/VHaldeO/iAsTrg/X9NZbbwVLkuNbnR977DG75557bNOmTfbFF1/Yvffe6wJOHesnn3xiAwYMcOu0b9/ePcb3ALz00kvuvGqZ1tH6RZ2LMD2HHrNkyZJgziHDhw+P7c/s2bPdepr0GNE+aF/882of9dw++D7iiCPsvffec+f5xBNPdK3qej31PyGXXHJJ7Lg0aXvJ9mRoXQXlOvb4/ZIaNWq451QyoP3TlYJSCcj1PtIPmmm7Ojd63/rj8vT8P/3pT90x6HXwCYGOT8f5r3/9y91PRMep/7kOHToEc5Kj3kC9F9avX+8+C/T/ph7A0ryfipLo+a6//nr3fPoc8u+n+M+teL1793YJm983/U+ox1NBq95r+r/RvmhZ+L1Z1LJ4Wlef7+FzoEaPdu3aBWsc4uf5ber9q9fQ0+fFMccc45ZpHR2ntu/PZSrPFZbodQp/Xuj10Xl94IEH3DJ9Ful/L9nPojA9Xv+7+qvXR5+RKoFLRMfbqlUrt54vMwNQcZEkpIE+yOMlmldaquPXF6if/BeJ/5L2Fi1a5AIP/VCS6INfH8z68vRf1vGP2bNnj02dOjUWtPseAvUuFKaktcr6omjbtq0LCEuruGNTy/SqVatcwOEVVu6kFtlw0qLH6ktWAYxomdbR8xX2mitw0/OHH6MAT381TwGx9+6777rzrha94ijIia8P17b88yRDgaIeryDTB49KDhWUar+1L6+88opbV+soKE01uMwE7UO4tVytn+EkQMmFbzHXPicK7tq0aXNY8F0cra/A6d///nehydDevXvd661906Tzm8zr6fkkTZYtW+aOSz0qnl5znyCEkxPR7xvoNdPxF2XDhg2x17m0SvN+Kgl/LvWcEv+5FS/+PaHgVedQPRT6zBGdDwm/N4taFu/CCy90wf6ECROCOebOh85BPCU9fj1tK/z5oen444+PfO5q33Ws/lym8lxhiV6n+HOjngL/mTlz5kz3ndGlSxd3PxXaFx/wa3v6zFTiE9+boM99vZ/Cn9UAKjaShEokfuByuCVGXzi+63js2LHuS9HTF62+aJQ8FEbBhv8iTpZapZMVTnAU3GnfUwlwC1PUsfnAOlHrtQ8e/BeZjt8HCOIfq/Ps91uTjqMwCjTy8/Nd8F8YJTW+pGHkyJEueEuGDzC0P3qdEyUpxVEQoNdMLdMKGBU4K1FQwqCAUy3yKvt5ISh9iQ/6yoP2U+dIQY/fL5U7pXJtfx9g+WNT70AyFKzrecL/F2UtLy/PJQ5KIOIlm4zodY9PPkqiNO+nklLwqve33isKMpOh9RK9X/V5owRSSUZ80lfUsnh6D61cuTJhAhFP+17Yevq8qFevnntOv7+awr0EqTyXV9Tr5KXr9ZFkGouUDClBUK9sOj73AZQNkoQ0SNQqUpYtJfpS1JeoWoYURKrrWi1YmaQvhnBQUJxwgpNM+UFFEZ+YlWb/FXyo1MCXL6nLXVelSZYSKz1OLXV6vVNNFhQUKOhVkK2AWXzPgahFWmU/vqxGU7jnozyFy5A0pVLqpCRIiYEep7IhJUnJJAo6H7t27QrulQ8FeurJ0Ous/Q5LNshLtsehIlJwrCsL6b2ixgUF0YUlC76hJFy+o/dvmMaDaJk+u7St8P9QUcsyZceOHe7Y/GeLn5Id61NZqBxWUullA1D+SBLSQHWdL774ogv4NOm25pUFBen6UtSXWrhnIUzBhL74unbtGswpvcWLF7vgQwOYS8v3YCTq6ta8onpBijo2BRh6bKIWcc0rqpWvqMcWRsehL8NEJVoKYFRmoOSitC1pKiFQYCFFlYOF+dKZcLAdrs1XXbsSiEsvvdTdT2Tt2rWxGvx0037ovRNf3uTLojReJj5ILgkdgwLmZKTjuXVO1YKv86/EJpUeEE9lRkrKw+MwJNkeAgVmOrf+tS6p0ryfSkvvGyXn+pxLVMoi/r0wevToIvdDy5R4KIGILx0sallY/D741vtUFPV5EZbqcxX1OqVC+xYO6ktyjJ4aNvQaculroHIhSUgTJQX6EtNUVgmC+C+EcOmPBo2Fy418V7qCDP+lp78aJFdS2qb/0I9v2VNJzTPPPBPcK562oy+R+IFzuq15RdU2F3dsCorVrR/eR31JaV5xYyLUiquu//CXmvYp/uo8nj8OPb8/Dn2x6oo2Sqj0OvlxIqJehWTLjfx2wsFCKhQganBvuGxHk7/6jurptX0NEA4vD7e4ax29Fn4bqi1OpsVT29fz6DEKXI466ih3O/48asCx/o/9c/urCClIVk2+v6qSpvBVg4qi4F49N/5x2oa2pccnI9Fzx1/dqDB6DgX3vudmxYoVJe6Z8CVTv/vd72LnXP9rSnj0mVMYnSOVlSUqVyqJ0ryfipPos0zbTjao9D0r2hfR+1CDc72i3rtFLYun49T7OTw4N/4zNxn6vNBnV/wFIrQf/vOjpM+V6HUKb7c4ft+UIPvPnJIcY5gasZR8hRMF7Y/KL5N9jQGUrZy8vLyC4DYqKH2B6AoX8QGlWgd9QhJe/v7777tWMNWyhgeuqfs8XO+qD2x9cOsD2l/pQl8O4p9TJUyF9VBIon1T4OJrT5Pdjmg/wjXE4e0Up7BjE30RKSBXq6v48+aPVcuVZCjojX+u+H2Kf2wi+mJWyYCn1k+9DvH78c9//tP1gPhzE78f4ddF5WMqMQp/SYePMUx17PEULCpYVaLgA2Q/T63l8YNiUTkoiVMgpwTPD+wO03Il2rryUlE9CUpg4ik41P9c/OdIad5PYYnWC29b75s1a9ZE3n96H6gXrbBGg/B7T/ulHki9x7R/CpoL2++ijinReYhfX/vqkxufxPlypXAineizNv6zSwOBw49J5rkSiX+cP3c6H/HnPdExxn+2xz9vYf8feg3U++F7O+PX8a+RjlPJjPZR56K47wcAZY8kAcgyiZIEtajrai3qCfBJgr7oFYApuEy2ZR0Vj28Bjx8/otdXgZ4CsOLq6xMlCUhNoqQAACozkgQgyyRKEkStyioVClNLXmkTBAWpKiFKROU1hbVylzeVDRVWt61Lm6qnprjguiJI1Eskel1UZpTM60uSUDqp9JgCQGVBkgBkGf0CcE5OTnAPKFpBQYF99tlnwT0UR2U8+sG8q666yt33ZTdSVCkUAFQ2DFwGskx5X7YTlQv/L6nRVYmOPvpoV6OvSb9LIyQIALINPQlAltGlC3UVJXoTUBz1ImhwsH4EEACAMHoSgCyjgE+Bn67QoiAQiKf/C/1/kCAAAApDTwIAAACACHoSAAAAAESQJAAAAACIIEkAAAAAEEGSAAAAACCCJAEAAABABEkCAAAAgAiSBAAAAAARJAkAAAAAIkgSAAAAAESQJAAAAACIIEkAAAAAEEGSAAAAACCCJAEAAABABEkCAAAAgAiSBAAAAAARJAkAAAAAIkgSAAAAAESQJCCj7rjjDps7d6717ds3mIPyNnToUPea6G9pTJ482aZPn27dunUL5gAAgGxBklAJKMBWULdgwYLIpCCtKhgzZsxhx07iAQAAkDkkCZXIlClT7LTTTotNAwcODJZkv/Xr19uwYcNix75u3Tq79dZbSRTKiBK1+F4D/f/169fPFi5cGMwBAADZgiQBldLEiRMtPz/f2rZtG8wBAABAupAkpIlatVUCo0m3y4ovRQqXHvl5av0N3y+sVEeP9ZNfR49Vq7Faj8PzPL9M8zT5deK3nYhq4efNmxd7TEnKppQc1KxZM7h3UHg/NGk8RFj8edA+hOvy4x8fv19+fMWoUaNi6/jW9fBj41vcS3J+vfBj4vfXbzP83InOf3i5ttGxY8dgySHhdTT5ffH7qN6bli1b2tixY2PH558/TOcovJ34c+HPof6G/wfiX6vwcYeXa378NgEAQPqRJKSBkoLLL7/c6tat6ybdLqtEYcaMGTZp0iRr1apVLIAcPHiwK8e5/vrr3f3evXu7dcKlOjfccEMk0GrXrp0tWbLELfdlTQoI58+fH5t3yimnHDbYVcv8X03FlQHp8YMGDXI9AVpfJUT169c/LNgsiva7f//+7rnGjRvn5imoPeaYY2IlSePHj3f74INLPa9uL126NLavb731llsmev5OnTrZiBEjIvsVH5Dq9W3Tpo1bR+tqHZ2nZs2aReYNGTIkeMRBJTm//pxouSa91nptw+tou6Ll2uft27e7dTydl/Bx3Xfffda1a1fLzc0N1jiYPCnh8s+jc6d90flSKZFKihSo+5KvwkqM9Fzalh7vt6X9eeihhyL/DzqH3bt3t5tuusmto2336dMnto62o3PoX0udGwAAULZIEtIgHAB5ieaV1sUXX5ywdVWBsgLmXr16uXlKGBSEe8OHD48F06JgVUGYWoa95cuXuwBSZs6c6QLC+HmbN2+2Ll26uPue1vHJiPjnPfXUU93feNpHBep+fxRsKlDWPhd1znwrto77kUcesalTp8bGZOhxxx9/vJvng1dtf9WqVda5c2d3X8+r++F99edFQbeeX4mUAnHRdrQ9nScF1d7OnTtjx6h1dSyJ5ilhCScXqZ5f7VPTpk0jr2Oi10DbmTBhgrsdfy41KUGYNWtW7Lj0V8e5Z88ed18079prrw3umS1atMg9T+vWrYM5xfPPpW2F/9cS/T/oucOv1bRp09xfv44SLiUXfrnOkT9PjIMAAKBskCRUIr4F2k8+cBIFYwoOlUiEg0JPrbM+udA6ydi4cWNwq3Dx6yhoVYCXKMBU0Kyg27cep7I/vhVbkwJY9ST4IFylR/Xq1XOBbni7vpXdP6+So0RatGjh9lnBcZjua76WF0XraP9SVdT51XM2btzYRo4cGTseJUnhxE7CwXQ8nReN23j33XeDOYVTkO9LsRI9T3EKey79HyqBDf8/KElQwlaY2bNnu+3Fl1cBAICyQ5KQBvEBuSSal0k+OI/ng79wKU55l2/EJzuaevbsmdQ5U0A8evRoF/Sff/75wVyzHTt2xEpqwlNlvgKUT4zijyncG5IOSiCVjCi51Pb1nCVJetJFPRE9evRw/w9K/EgWAAAoeyQJafDAAw/Yiy++6MpONOm25pUl1cArSVAAHq7v9iUcCqzLokRDpTkK4BcvXhzMOUTPr330JUAlpeBRJT3+ONUqrZr6wkqcinveDRs2HFZWJP5YtLysFbZPqVIPS/x5US+FH5OgXhYlkOpBCPdMpaqw10Cvj3q41qxZE8xJnvbH9xzFl7kBAIDMIklIEyUFag3XVNYJgsYhaKCpyjRUt66A2A9e9QGuyjdEQZuC63RRy7MfG6GAU2VAev740h1PJT8qA/KPEbUS64pBqVAdvj9OJQ0qaQknR6Jt+hZoX8KiVnPPL1fLtR6vAdX+8f5YwoOjy5IvdQqXVYkfkJ0M7beC9/B5iX/9fQKlcQCeEs74ciMF+UpaCitD8ombth9u9dfro+3r/zJZRR0jVzcCAKBskCRUIvEDl1VG9OCDD7qA6r333nNBoYI+DQr1AbHmKXjz9fq68lBhAXxJvP/+++5KNdq2atlFZT+F9VqodVi9HeFjUXD++uuvB2skR9vXIF2fcKisSAF9uIZfVyHyAb7+atyGkim/XJcC9eci/vE6lpUrV5ZbuZKOT+dR/IBtTar7T6Ysy4s/Lr3+KisKD1z241n8c9SqVeuwciOffGo7hQXpKoPS/2F4bIikOtC4QYMGh70O6S6xAgAARcvJy8srCG4DSVOQqECOAA4AACD70JMAAAAAIIIkAQAAAEAESQIAAACACMYkAAAAAIigJwEAAABABEkCAAAAgAiSBAAAAAARJAkAAAAAIkgSAAAAAESQJAAAAACIIEkAAAAAEEGSAAAAACCCJAEAAABABEkCAAAAgAiSBAAAAAARJAkAAAAAIkgSAAAAAESQJAAAAACIIEkAAAAAEEGSAAAAACAiJy8vryC4DVQZNWvWtCZNmlidOnUsJycnmIvKoqCgwHbt2mWbN2+2/Pz8YC4AAEgXehJQ5ShBaN26tdWtW5cEoZLS66bXT6+jXk8AAJBeJAmoctSDQHKQHfQ66vUEAADpRZKAKkclRsgevJ4AAKQfSQJSMmbMGFuwYEFk0jzp27evzZ0797Dld9xxh1suuq11tG68opYlMnny5NhzF2fo0KE2b9489xz0ImQXvZ76X5g+fbp169YtmAsAAEqDJAFJ8QlAs2bN7LTTTotN48ePtwYNGgRrHTRlypTYct2++OKLI4lCaSgIVDCo5KNdu3bB3KLpMf3797f33nvP7rvvvmDu4QYOHGiTJk2yF154wU3XXXddsATl4c4774y9Fo8//riddNJJwZLDPfjgg+7vkCFD3F8AAFA6JAkoloLsG264wZYuXeoC6bBx48bZVVddFdw7nILy5cuXW+fOnYM5peODwBEjRtj69evd7eJ07drVDW6dNm1aMKdwumLOY489ZgMGDHCBqShZmDhxop111lnuviSal0k+gRk1alQwp/TK+7j0XD4J0LHF/2/de++97nWYPXt2MKdwCxcutPnz51unTp2S7okCAACFI0nIErfeeqtr6dek2+l0/vnnW/369ZMKshPZuHGje3w6SkGuv/5669evX9IJgnTp0sU2bdpkM2bMCOZULmpRP+ecc9x5zBZKQk455ZRYQvbvf//bBfelSU7effdd9/fUU091f8MlZgAAIDUkCVlAScHll1/uLgmpSbfTmSioF2DdunUlDrJVorR9+3bX2lvWlJgcc8wxtmTJkmBOZii4VQu8bxmPL48pqtVcy7T+NddcEyt38j0GWk8JltbZs2ePm1eWijuucElQfA+EjkHLw+voOOSNN95wt/VXli1b5v4eeeSR7m9JKHHU/5kuiwoAAEqHJCELJCqvSHfJRUlbsTWwuG3btkmVjGRCy5YtXanRhg0bgjmZcckll9gnn3ziWsU1KQD+4IMP3DIF+t27d7eXXnrJLVNgHN9q3rRpU9dboCBc6ymx0uM0IDfdPUOpKOq4dLt9+/ax3gCtN2jQoEgSoQRTlyjVciVq6j0oamxBaSgJVZKgcycqhevRo0eR41AAAEBiJAlIig+8kqGByv7KRqoRV5CmgC3btWnTJmEA3KFDBxdAK+CXN9980419OPHEE9192bt3r+upUQKhsR9aXlGu/1/UcWkcgO8NUKlbbm6ue809lXlNmDDB3VZvgZYrIQrTtn05lT9HJZVNJVkAAJQnkoQskKgMKJ3196mOKQhf3ahnz56VdixAKnwgfNddd0XKakTBvlrUNV+T1okPlLdu3eqSA1FLvR7vB06Xp8KOS4G9Stt69eoVO64bb7zxsN8sWL16daznQQnAT3/601hS4fnB6P65AABA+SNJyAIPPPCAvfjii7Zz50436bbmpcvixYtdoKsBzKWlsh+1JvvBpWGlHfuQKZs3b3Yt/fHU2q+WcvGBvcpqVC6kUqJwoqBSG1+y46fyTgLScVwqIwsfk8qNUukN0LgF9VJpLIZPJkojlR4vAABQOJKELKGkQK32mtKZIIhKhRS4q4wo/sfLdAWZZ555JrhXPG1r1apV1qdPn8i4CV2BJhNjFzSYNT8/31q0aBHMSd3atWutRo0asfIgtaKrtj7cSh6m9cODjFVm861vfeuwS3ymk4LtcEt/MkpzXFqu9TTWIjy2IhU+QXjyyScP610oCfV0qcfLlxxxdSMAAEqOJAFJ0bgC/TaB6s39eANNgwcPdjX2qVCwrNKakSNHxrajpCETYxf8YNbS/E6DAlglSQqGFYir9EY9NrqOv2h++ApAKrvRGATfU6C/2sZll10WWyfZ3yIIb/uoo45yk277qx95/upAqSRDpT0uraf7mu/X0bJE4xfi6X+gVatWrjwp/Pj440qFBqkrSVizZk0wBwAAlFROXl5eQXAbyEpqSVYSoh4WBcUH/ueDJVEKXM877zwXGKejZbssad/V06P9Lu8ypnRT74j/TYXCSpJWrFhx2OsMAABKjp4EZL2ZM2e63oQLL7wwmJM91GqvpEC9FNmYICRLpUYqfVIPFQkCAAClR08CqgTVp6s0SgHks88+G8yN8q3xqtMXjY+oqkF3RaAfYfNlYhpIXVRPwu9//3tXaqSSuPL40T4AALINSQKqnGOPPdZycnKCe6jsCgoK7LPPPgvuAQCAdKDcCFWOLvGJ7MHrCQBA+pEkoMrR7wOo9RmVn15HvZ4AACC9SBJQ5eh3E3SZTF3uk2ShctLrptdPr6NeTwAAkF6MSQAAAAAQQU8CAAAAgAiSBAAAAAARJAkAAAAAIkgSAAAAAESQJAAAAACI4OpGSEmrVq2sadOmVqdOHX61GAAAIMN02W/9cOimTZts3bp1wdzMI0lAUmrVqmXHHXecu719+3Z3bXp+YwDITm3btrVVq1YF9wAA5UmNsrm5udaoUSPbv3+/ffrpp7Z79+5gaeZQboSkKEFQYrBx40b3j0mCAAAAkHmKuRSDbdiwwfbt2xdrtM00kgQUSyVGsm3bNvcXAAAAZW/Lli1WrVq1WGyWSSQJKJbGIKjECAAAAOVLjbaKzTKNJAHF0iBldXMBAACgfCkmU2yWaSQJKJYGzDAGAQAAoPxp8HJZXGGSJAEAAABABEkCAAAAgAiSBAAAAAARJAkAAAAAIkgSAAAAAESQJCAr6dJgI0eOtAkTJlj37t2DuVE33XSTTZs2zf0FAADAISQJyEpNmjRxU926da1+/frBXAAAACSDJAFZac2aNa6H4Morr7RZs2YFcwEAAJCMnLy8PH4lC0Xq1q2brVq1KriXnDFjxliLFi1s7NixNnv2bOvVq5cNGzbMNmzYYNdff7117NjRfvazn1mHDh2sWrVqtmPHDnvuuefs1VdftUsuucR+8IMfuJ4A/YjbRx99ZI8++qh9/vnnse2uXLnSPXbJkiV2++23B88aFb8Per5zzz3X9Sxs377dbe/EE0+01157zR555JHgUQDatm2b8nvev8e3bt1qe/futZYtW9qLL77oEnYl60ceeaRbb/Xq1TZ+/HhbtGiRKwu8+uqr7eyzz3bvS73f58+fb0888YTdeOON1qVLF6tZs6b7ddHp06fbk08+6bYBAFWdPqcXLlwY3MsMehJQLgYMGOCCfP2DK5hXQKLSoL59+9oPf/hDt85TTz1lCxYscAnFNddc4+aJAovatWvbLbfcUmiCEO+KK66wCy64wP1K4SuvvGJvv/22HUiQg6UA0kWJ+ccff2yDBg2yDz/80AYPHuwSfiUMr7/+uh1xxBH24x//2L2Plbj369fPdu3aZS+//LL94x//sD179rj3a9euXW358uXu80HbqVWrVvAMAICyQJKAcqeA4s4777S//e1vdsYZZ1hubq4bUPzSSy/Z888/b1999ZW1a9fOOnXq5NZXq6KCCfUwJKtz585WvXp112ug1siHH37YJSAA0kvv1ylTprjAXxcNaNq0qc2ZM8eefvpp12OnBoE2bdpY//797ZRTTrFt27a5noX//u//du/LP/zhD8GWDvryyy/t3nvvtcmTJwdzAABlgSQB5UJlRZ9++qkrZXrooYdcENC8eXM3qbxAJQhKFBQ0qGwhJyfHBfmyb98+27x5s7udLAUqSi5UYuR98803wS0A6aL3lRJ/UYmRygnVQ6j3s6bjjjvOvZ+bNWvmSoy+/vprmzdvnlvfmzFjhr333nvWvn17u/vuu+2Pf/yjuw0AKDskCcgIlfUoEFAJkfgA39NYgl//+teuXEilBCo9UsuiWiEVzKs0YdSoUbFp3LhxscCjJFQnrR4KXxctKoEAkDlr1651nwUqMwq/n9WjoCRg586d1rBhQ1daFKZk/q677nIXH3jrrbfc+1bjlAAAZYckARmhEgHVEJ933nlu/MHll1/uapC93/3ud/ab3/zG1S9rELGnhEHOOussV7ussQe9e/e2k046yZUvlNSyZctc0nL++efbkCFD7LbbbouVLwHIDJUEKhE4/fTT3RggNRaopPDMM890vQcac6AkQQOef/KTn7iGg5tvvtmuu+46GzFihBuPpHIkJRoAgLJFkoCMULmArmKiwEADGDdu3BgJ8tVb8N3vfteGDx/u6pLVqqia40mTJtn//M//uIRCj1PwoBH8enxpaNv//Oc/Xc/GpZde6sY4qDcDQObo8sMaV6SrHemqZeoZOPnkk23Tpk1u+ejRo91FBBo1amSXXXaZfe9733PzlVioYeCXv/ylayRYsWKF/fnPf3bLAABlg0ugolgluQQqgMqrJJdABQCUnbK4BCpJAopVkZME1TfrjRKmSyjqMqd/+ctfgjkAUkGSAAAVG0kCKgR6EoCqhSQBACq2skgSGJMAAAAAIIIkAQAAAEAESQIAAACACJIEAAAAABEkCQAAAAAiSBIAAAAARJAkAAAAAIggSQAAAAAQwY+poVj6MTUAAABUHPziMsrdgf8RW7FiRXAPQLbjPQ8AFVtZfE5TbgQAAAAggiQBAAAAQARJAgAAAIAIkgQAAAAAESQJAAAAACJIEgAAAABEkCQAAAAAiCBJAAAAABBBkgAAAAAggiQBAAAAQARJAjLijjvusOnTp1u3bt2COQcNHTrUZs2aZX379g3mpN/kyZPd8wMoW3rvLViwIPbeL+xzIFP884enVJ5f62n98OPnzZvnPreKouVaL/w4bWfkyJGx+WPGjAnWBoDKgSQBWcN/Ubdr1y6YA6CsKSDu16+fLVy4MJhziIL4TAfLev7TTjstNm3fvt0eeeSRYgP9sClTpsQe36NHDxs3blywpHA7duywESNGxB6nc6D7evzy5cuDtQCg8iBJQFZQADBo0CB78cUXbf369cFcAFXdwIED7b333rNevXoFcwAAySBJQLlSq6Lvnp87d26sDCm+218tkJ4vYXj11VfdMt1XS1/Pnj3tjTfeCNYCUFF07NjRvWfVy6dW9nAJj96//n0enu8/A0aNGuU+G/znQPizIbx+URYvXmxNmzbNaJkjAGQbkgSUG325H3/88bEu+meffdbNVxCgWt6VK1e6+cOGDbP69etHxhm0bNnSlTNo+X333RfMBVARffTRR678RmU3Cu59CY/e03369Il9BsyYMcP69+/vPgO8rl272gMPPODWadWqlSsdmjp1qlt/1apVSfUQaD1p27at+1uciy++OJa4KCEJ7w8AVBUkCShXNWvWjH1xP/HEEy5IUFCg+dOmTXPzlQzMnz/fOnfu7O6LSopmzpwZ3ANQGek9vXTpUve+F72n9+zZ4z4DPF3oQMs1rVu3zgX8fozAkiVLXANCuoP48JiEwsZXxKtXr55r3PDJBQOVAVR2JAkocxrgpyBfX/STJk2ywYMHuy9V31PQokULa9y4ceQLVy17mQgGAJQPvZf1nlYg7t/nY8eOtTZt2rjPgEQ2btzoplT5hgjfo5AJ8QOXr7/++mAJAFROJAnIiA0bNrjeAJUFhenLPzc3N7hnLlFQ6YG+XFV2oERBj129erUrM/JfuJqSbdEDUPHpvawrD4Vb7f2U7hJClSR9/PHHsR4LAEDxSBKQEYsWLbL8/HzXS+Bp0KASAZUOKUBQQuB7D9SzoIBB9FglEkOGDHH3AWQnlQvpMyFTA4rVW6ExBeqxmDBhgpunz5ySjDMo6eMAoLIiSUBGKAlQ74C+nH0pgcqHVF/sWwnVY6DgwJcZaKCylumxo0ePtk6dOsUeq8knFAAqp9mzZ9spp5wSuyqR3u8akxAuLSxtIK6eCL8tfa6oUSLcC9m6dWv3WePvJxIeuKxJnz3JPA4AsklOXl5eQXAbSOjA/4itWLEiuAcg25X0Pa9LlGrMQEWtx1fyccstt9jEiRNTKj0q6eO8in5eAFQ+ZRGb0ZMAAEgbteRX1LIc9QLox9VSDfRL+jj1lvAr8AAqK3oSUCx6EoCqhfc8AFRs9CQAAAAAKHMkCQAAAAAiSBIAAAAARJAkAAAAAIggSQAAAAAQQZIAAAAAIIIkAQAAAEAESQIAAACACH5MDcXSD3YAAACg4sj0j6mRJKBY/PoqULXwngeAiq0sPqcpNwIAAAAQQZIAAAAAIIIkAQAAAEAESQIAAACACJIEAAAAABEkCQAAAAAiSBIAAAAARJAkAAAAAIggSQAAAAAQQZIAAAAAIIIkARlxxx132PTp061bt27BnIOGDh1qs2bNsr59+wZz0kPbmzt3ri1YsMBNkydPDpYAKCt63+n959/7hX0OZJrfj/CkfSlOYZ9Puq/5Wl6c8DH7/dBnU7o/8wAg00gSkBV69+5tkyZNstNOO82GDRtm9evXtzFjxgRLAZQVBcX9+vWzhQsXBnMOUdCcyfelbywQfRb4acqUKda6dWs3vywNHDjQxo8fb/n5+cEcAKg8SBKQFYYPH27jxo1ztxWczJ8/34455pgyb8EEUH4GDx5sS5cudcF52H333WfXX399cA8AkAySBJQrtSr6coBwl7yCe3XZ+2Xh8iHfnf/qq6+6ZYnKCNRquH379oStmQDKVseOHd17tl27dq5lf968ebHSHb1//fs8PN9/BowaNSpWSqjPgfBnQ3h9/W3atKlNmzbN3QcAlA5JAsqNvtSPP/54GzFihAscnn32WTdfQcDIkSNt5cqVbr4vHwonAy1btnQJgJarlTBMiUanTp1syZIlwRwA5emjjz5yJUjLly93wX2PHj1cz5/e03369Il9BsyYMcP69+8f6QHs2rWrPfDAA26dVq1a2SOPPGJTp051669atcp69erl1mvRooUr61m/fr27X1L16tVznz8+cdGk+5oPAFUJSQLKVc2aNa1t27bu9hNPPOGCBAUFmu9bBH35UOfOnd19USAwc+bM4N4hShBuvfVWV3IQnzwAqFj0ntZ7Ve970Xt6z5497jPA04BhLde0bt06lxj40kI1BKgBIZxUhIUHMId7I4uyY8eOWNLiJ93XfACoSkgSUOb0ZasgX1/0GmysOmJ9ifueArUINm7cONKad/HFFxcZDIger0nbpP4YqNj0XtZ7WkG4f5+PHTvW2rRp4z4DEtm4caObEtmwYYNrXFAvo6exCX77AIDUkCQgIxJ9YYu+/HNzc4N75hIFlR6opU5lBwry9djVq1e7MqNwa15hV0wRPa579+520003xVoZAVRcei9r3JCuPBR+n2sqSS/gokWLXLnRqaeeGswBAJQGSQIywn9hq5fAUymQEgGVDilA8C3/op4FBQyixyqRGDJkiLtfHLVIKkHw2wVQOahcSJ8J/oIFpaH3vsYqaFtFXWY1HZdhTcc2AKCiI0lARugLW70DKifwpQQqH1J9sW8lVI+BvtB9mYEGKmuZHjt69Gg3+Ng/VpNPKAqjkqTw+uErnwAof7Nnz7ZTTjkl9t7U+11jEsKlhbpyUVFlhUVRL6K2Gf/ZofsTJ050261Vq5YtXrw4eETq0rENAKgMcvLy8gqC20BCB/5HbMWKFcE9ANmupO95tbBrzEBFHROkxOTMM8+0q666KpiTulS3ofUvv/xye/jhh2MDtAGgtMoiNqMnAQCQNhpTUJregExST0NpEgRJZRtKmq699lo3PgsAKht6ElAsehKAqoX3PABUbPQkAAAAAChzJAkAAAAAIkgSAAAAAESQJKBYBQUFlpOTE9wDAABAeVFMptgs00gSUCz9KJquCw4AAIDypZhMsVmmkSSgWDt27LCGDRsG9wAAAFBeFJMpNss0kgQU6+uvv7YaNWpYo0aNgjkAAAAoa4rFFJMpNss0kgQkZf369VavXj1r2bKl1a5dmzEKAAAAZUAxl2IvxWCKxRSTlQV+TA0pUQarf1D9giiJAgAAQGZpkLLGIKjEqCx6EDySBAAAAAARlBsBAAAAiCBJAAAAABBBkgAAAAAggiQBAAAAQARJAgAAAIAIkgQAAAAAESQJAAAAACJIEgAAAABEkCQAAAAAiCBJAAAAABBBkgAAAAAgIicvL68guA1UGTVr1rQmTZpYnTp1LCcnJ5iLyqKgoMB27dplmzdvtvz8/GAuAABIF3oSUOUoQWjdurXVrVuXBKGS0uum10+vo15PAACQXiQJqHLUg0BykB30Our1BAAA6UWSgCpHJUbIHryeAACkH0kCqhx6EbILrycAAOlHkoCUjBkzxhYsWBCZNE/69u1rc+fOPWz5HXfc4ZaLbmsdrRuvqGWe1glvu7j1vaFDh9q8efMi+xJv4MCBNmnSJHvhhRfcdN111wVLUB7uvPPO2Gvx+OOP20knnRQsOdzkyZNt+vTp1q1bt2AOAAAoDZIEJMUnAM2aNbPTTjstNo0fP94aNGgQrHXQlClTYst1++KLLy4yOE+WAsC8vDwbNmxYbPvr1q2zG264ocjgUMv69+9v7733nt13333B3MR0xZzHHnvMBgwY4AJTUbIwceJEO+uss9x9STQvExQYaz98sKwkRslMOpTncYXpOXVso0aNCuYcdO+997rXYfbs2cGcwj344IPu75AhQ9xfAABQOiQJKJaCbAXiS5cuPSxAHTdunF111VXBvcMpKF++fLl17tw5mFNyCxcutJ/+9Kfur6cAsn79+ta1a9dgzuG0TFfAmTZtWjCn8vjggw9cEK1gWdMbb7zhErayDOIzScehZO/LL78M5pSM/ifmz59vnTp1SqpnCQAAFI0kIUvceuutrqVfk26n0/nnn+8C8ZIG2Rs3bnSPL69SkC5dutimTZtsxowZwZz0U7CrFnjf4h9fHuNbyzXF9wZomda/5pprYuVO8a3qnn4XYO/evcG9zCvuuMIlQfE9EDoGLQ+vo2MNu+SSS+zrr7+29evXB3NK7t1333V/Tz31VPc3mRIzAACQGElCFlBScPnll7vrxmvS7XQmCuoFUFlPSYNslSht37490gOQLkoAtO1FixYFc6KUmBxzzDG2ZMmSYE5mKNj95JNPYi3+CobVCyBKCLp3724vvfRSob0BTZs2tXPOOccF4VpP5yxRWVGHDh1cUK1tlIWijku327dvHyvP0nqDBg2KJBH639ElSrVcr8Epp5wSW67H6zhfffVVd7+0lGjof0G/nQAAAEqHJCELJCqvSHfJhXoDSkKDmtu2bZtUXXmq1EKsUhWVmRSWgLRs2dKVGm3YsCGYkzlt2rSJBMieAnsF0BpcK2+++aYb+3DiiSe6+6LeASVhCv5V1qXl/vr/4db8b33rW/b222+7+WWlqOPSufcJi3qxcnNzXcmPpx6cCRMmuNvLli1zy5UQaXtKGMKPLy39DyhJUOIhKoXr0aNHseNQAADA4UgSkBQfeCVDA5X91YcUMCpIU8CWTgq4lQhp4HRFCAJ9IHzXXXcdVlajYF8t6r7kRusoUA7bunWrSw7Ej0NQr4IoiB48eLBrjdc8HXd4+5lU2HEpyFevVa9evWLHdeONNx72mwWrV6+O9TzoNdOYEh3PpZdeajt37owdY7qUNJkFAABRJAlZIFEZUDrr71MdUxC+ulHPnj3Tui/aB13qUvtz0003pT35SKSwcQBq7VdLuYQHGKtcSK3/4UBepTZaFp5KEiArwNbr0aJFi2BOyaXjuNRDFD4mlRv5HpPCKMFQ78RRRx0VSzCUROl+Oq/eBAAASo4kIQs88MAD9uKLL7qWWU26rXnpsnjxYtcargHMpaWyH5Wc+MGlYcWNfVCCMHLkSFdS0q9fv4yMcUhk7dq1VqNGjVh5kC+VCbeSh2n9PXv2BPcOltmoTCgdwa+2oV4dbTNMg4QVbIcD+OKU5ri0XOtprEV4bEUywomHn5REffHFF0klGUVJpccLAAAUjiQhSygpUKu9pnQmCKLWegXuKiPyP5zm6QoyzzzzTHCveNrWqlWrrE+fPpFxExpfUNzYBX8pU9XnJ0uDWfPz80vV8q7Wex2/gmEF4iq9UTKm6/hLeMyAJpXdaAyC7ynQX23jsssui60TfyWgwsRvW6+B9iU+kPZJQyrHWdrj0nq6r/l+HS1TslEelESqh8mXHHF1IwAASi4nLy+vILgNFElBva6apFp0Ty3LCiQV/Pvls2bNKnacgJINlSN5Ck6V3BTWiyAK9hQkJ6LfYiispd4H1H65fpAtES0/77zz3PEogK5MtO86N9rvkpQxVWTqdVAPh66ilKiHQ1asWHHY/5+SBI3l0P8Ug5cBAEgNSQKynpIL9Vz4JCSbkgS12qslXwOh1QuTbQmCJJskxL/OAACg5Cg3QtabOXOmG8dw4YUXBnMKp6vz+PKZVOr7y0u4vj/bEgT/I2y6glJxVGqk8RG6QhQJAgAApUdPAqqEcOnJn//8Z8vJyQmWoLIrKChwvQcajzBixIgyG9AOAEA2I0lAlXPEEUdExlWgctN4li+//DK4BwAA0oFyI1Q5+n0AtT6j8tPrqNcTAACkF0kCqhxdEnXNmjWuBZpkoXLS66bXT6+jXk8AAJBelBsBAAAAiKAnAQAAAEAESQIAAACACJIEAAAAABEkCQAAAAAiSBIAAAAARHB1I6SkVatW1rRpU6tTpw6/WgwAAJBhuuz3rl27bNOmTbZu3bpgbuaRJCAptWrVsuOOO87d3r59u7s2Pb8xAGSPtm3b2qpVq4J7AICKQo2yubm51qhRI9u/f799+umntnv37mBp5lBuhKQoQVBisHHjRvePSYIAAACQeYq5FINt2LDB9u3bF2u0zTSSBBRLJUaybds29xcAAABlb8uWLVatWrVYbJZJJAkolsYgqMQIAAAA5UuNtorNMo0kAcXSIGV1cwEAAKB8KSZTbJZpJAkolgbMMAYBAACg/GnwcllcYZIkAQAAAEAESQIAAACACJIEAAAAABEkCQAAAAAiSBIAAAAARJAkICvp0mAjR460CRMmWPfu3YO5UTfddJNNmzbN/QUAAMAhJAnISk2aNHFT3bp1rX79+sFcAAAAJIMkAVlpzZo1rofgyiuvtFmzZgVzAQAAkIycvLw8fiULRerWrZutWrUquJecMWPGWIsWLWzs2LE2e/Zs69Wrlw0bNsw2bNhg119/vXXs2NF+9rOfWYcOHaxatWq2Y8cOe+655+zVV1+1Sy65xH7wgx+4ngD9iNtHH31kjz76qH3++eex7a5cudI9dsmSJXb77bcHzxoVvw96vnPPPdf1LGzfvt1t78QTT7TXXnvNHnnkkeBRQNXUtm3blN/n/n29detW27t3r7Vs2dJefPFFl6QrQT/yyCPdeqtXr7bx48fbokWLXCng1VdfbWeffbZ7L+o9Pn/+fHviiSfsxhtvtC5duljNmjXdL4pOnz7dnnzySbcNAMAh+sxeuHBhcC8z6ElAuRgwYIAL8vUPrmBewYlKg/r27Ws//OEP3TpPPfWULViwwCUU11xzjZsnCjJq165tt9xyS6EJQrwrrrjCLrjgAvcrha+88oq9/fbbdiBBDpYCKA0l4x9//LENGjTIPvzwQxs8eLBL8pUwvP7663bEEUfYj3/8Y/feVbLer18/27Vrl7388sv2j3/8w/bs2ePeo127drXly5e7zwRtp1atWsEzAADKGkkCyp2CizvvvNP+9re/2RlnnGG5ubluQPFLL71kzz//vH311VfWrl0769Spk1tfLYwKLNTDkKzOnTtb9erVXa+BWiYffvhhl4AAKD29R6dMmeICf10ooGnTpjZnzhx7+umnXS+dGgHatGlj/fv3t1NOOcW2bdvmehb++7//270X//CHPwRbOujLL7+0e++91yZPnhzMAQCUNZIElAuVFX366aeulOmhhx5yAUHz5s3dpFIDlSMoUVAAoRKGnJwcF+TLvn37bPPmze52shS0KLlQiZH3zTffBLcAlIbeS0r2RSVGKiFUr6Dew5qOO+449x5u1qyZKzH6+uuvbd68eW59b8aMGfbee+9Z+/bt7e6777Y//vGP7jYAoHyQJCAjVNajoEAlROIDfE9jCX7961+7ciGVFaj0SK2MapFUMK8yhVGjRsWmcePGxYKQklDNtHoofI20qBwCQHqtXbvWvf9VZhR+D6tHQUnAzp07rWHDhq60KEwJ/F133eUuOPDWW2+596rGJgEAygdJAjJC5QKqJz7vvPPc+IPLL7/c1SN7v/vd7+w3v/mNq2XWIGJPCYOcddZZro5ZYw969+5tJ510kitlKKlly5a5pOX888+3IUOG2G233RYrXwKQPioDVCJw+umnu3E/aiBQGeGZZ57peg805kBJggY8/+QnP3GNBTfffLNdd911NmLECDcGSeVISjQAAOWHJAEZodIBXdFEQYIGM27cuDES5Ku34Lvf/a4NHz7c1SirhVH1x5MmTbL/+Z//cQmFHqdAQiP49fjS0Lb/+c9/up6NSy+91I1xUG8GgPTSJYc1lkhXO9KVytQzcPLJJ9umTZvc8tGjR7sLBzRq1Mguu+wy+973vufmK7FQY8Avf/lL1zCwYsUK+/Of/+yWAQDKHpdARbFKcglUAJVLSS6BCgAoH2VxCVSSBBSrIicJqnXWGyVMl1PUZU7/8pe/BHMAFIckAQAqD5IEVAj0JADZjyQBACqPskgSGJMAAAAAIIIkAQAAAEAESQIAAACACJIEAAAAABEkCQAAAAAiSBIAAAAARJAkAAAAAIggSQAAAAAQwY+poVj6MTUAAABUHPziMsrdgf8RW7FiRXAPQDbifQ4AlUdZfGZTbgQAAAAggiQBAAAAQARJAgAAAIAIkgQAAAAAESQJAAAAACJIEgAAAABEkCQAAAAAiCBJAAAAABBBkgAAAAAggiQBAAAAQARJAjLijjvusOnTp1u3bt2COQcNHTrUZs2aZX379g3mpIe2O2/ePFuwYIGbJk+eHCwBkEl6r+k959/vhb33M81/Buj5U+H3309z585N6fNJx6njDW9jzJgxkc8k3QeAyoYkAVmhY8eONnHiRDvttNNsxIgR1qpVq5SDBQAlo0C4X79+tnDhwmDOIQqQyyJp79Wrl61atco6d+4czEme9l+fHZrWrVtngwcPDpYUTYnAI488YitXrow9ftiwYVarVi1btGiR9ejRw5YvXx6sDQCVC0kCssLw4cNt3Lhx7vaMGTPcF33r1q3dfQDZTS3/9evXt7///e/WtGlTF7yX1JIlS9y2iusJ0XMOGjTIfd5cf/31wVxzidJPf/rThAkTAFQmJAkoV2pl9F304W7++C78cEukL2d49dVX3bL4HgMFCAoUpk2bFswBUB70vlXrert27SLvVb3P9X73729fjuPf96NGjYot1zbCnwcq4YlPAk499VTbvn27PfHEE7Zp0ybr0qVLsCQ1ep7u3bvb/Pnziw3y/XPOnDkzmAMA2YUkAeVGX/THH3+8Kw9SIPHss8+6+fqiHjlyZKwLX933atkLJwMtW7Z0X+Jaft9990WCiP79+9tvf/tb18IHoPwMHDjQvSdVcuPfq0oQbr31Vjc2SfP0/tfnQDjw79q1qz3wwAOx0kGV9EydOtWtr5IilRaFqcRIPQCiv8ccc4z7TEiWtqv9HDt2rAv8tZ/FUU+l1qXHAEC2IklAuapZs6a1bdvW3VYroAJ7BQia73sC9CWslr1wrfH69esjLXhaRzXR+rJXMKGggjEJQMUT3wKv9/zHH38caf1XAqH5mlQ6qMTAlxPGlwP5nsN3333X3ddffX7ocyRZShD02aFp48aNrsEhlSQDALIRSQLK3I4dO1yQry/9SZMmuUGC+pL2QX2LFi2scePGrjdB8zVdfPHFSdUJi7ar4EJlA3zRAxWLWuDVE6hWe//+VnDerFmzYI0oBe2aCqPkIvx5ob+6H9/bkKwJEybYnj17ik0y1qxZk/RnEgBURiQJyIgNGza41jwFA2FKAHJzc4N7BwN6XQFEZQV9+vRxiYIeu3r1aldm5Fv3NBV29RQAlYeCa19+FJ5UmpQqBegqLZoyZUpkW+PHj3e9C36MUyr0mVWvXr3gXuFK0mMBAJUJSQIyQpf/y8/Pj1xKUF/YSgT8oEAlBL73QD0LKkEQPVaJxJAhQ9z94ihQePLJJ2Mtev55NKaBpAKoWBRcp+sSxb400Zcaef7zR6VNKkdK5bdZLrzwQvdYbaOox/oyqWuvvTZyLPGfRwBQWZEkICMUnKt3QN3xvqRAZQD6wvWDAtVjoC9fLVPpgYJ6LdNjR48ebZ06dYo9VlNhQYXW1/P48gU9z9KlSyOXJQRQPjS2SEmBfw8ruFaZoX/va0p0xaJkqKRIVzPSNsP0maDPE5Ucfutb30q4Tph6H/y+6HNHnz/ahno+i3qsPmPUaxE+Fn0OrVixwj0eACqznLy8vILgNpDQgf8R96UHIHuV9H2uS5RqzEBFTcqfeeYZe/PNN2MDn1NRmsd6Ff38AKicyiI2oycBAFAqaomvqFcEuuqqq0oc5JfmseoZUQ+JfiMCACojehJQLHoSgOzH+xwAKg96EgAAAACUOZIEAAAAABEkCQAAAAAiSBIAAAAARJAkAAAAAIggSQCALJOTk2O1a9e2hg0bWtOmTd2Pgh1xxBFu0m3N0zKto3UBAIhHkgAAWaJGjRou+G/evLnVrFnT8vPzbevWre5Xg/UL55p0W/P27Nnj1tG6eoweCwCAR5IAAFmgfv36rodg7969LhlQIvDNN9+4+/v27bP9+/e7Sbc1b9euXW4drav7devWddsAAED4MTUUSz/YAaBiUg+AgvstW7bY2rVrXWJQEio9OvLII61x48a2fft2lzgAACquTP+YGkkCisUvsQIVU25urjVp0sR27tzpAvt0UMKhXoXNmze7kiQAQMXDLy4DABJSD4IShG3btqUtQRBtS9vUthmnAABVF0kCAFRCjRo1cj0IGluQbtqmJj0HAKBqIkkAgEpGJUEagJzOHoR46k3QczCYGQCqJpIEAKhEVAJUr149d2WiTNNz6LkoOwKAqockAQAqEQ0q3rFjh7ucaSouueQSu+iii4J7ydFz6Ln0nACAqoUkAQAqCf06cp06ddxYhFRdcMEFduGFFwb3kqfn0nPyy8wAULWQJABAJVGrVi13WdJUexFKQ8+l59RzAwCqDpIEAKgkatasWeIfSysNPaeeGwBQdZAkAEAloQHE5fEDZ3pOBi8DQNVCkgAAlUT16tXLtNTIKygocM8NAKg6SBKQEXfccYdNnz7dunXrFsw5aOjQoTZr1izr27dvMCf99Nzz5s1zzwVkk2rVqrmAvawpMdFzJzJ58mRbsGBB7P1e2Hs/U/zzh6dUnl/raf3w45P5/CjscU888YT7q/tjxowJ1gaAyockAVlFX9zdu3cP7gFV08svv2zXX399cK9wN9xwg73wwgvBvZJTQNyvXz9buHBhMOcQBcoK5DNJz3/aaafFJv3I3COPPJJSQ8GUKVNij+/Ro4eNGzcuWFK0+Mf9/Oc/d3+XL18erAEAlRNJArLK+eef7/7q2u5AtlGLfjKXIn3ttdfsJz/5iUsCCqNl11xzjf39738P5hROz1keZU4lNXDgQHvvvfesV69ewRwAQKpIElCu1Mrou+rnzp0bK0OK78oPt0T6coZXX33VLdN90WN79uxp8+fPd/eBbLNv376kkoTHH3/c9RAoCUiUKPgE4amnnkqqxVylRnruVOl9qxb2du3aHfZe1fvdv799WY5/348aNSq2XNsIfx4kW0q4ePFia9q0aUZLGwEgm5EkoNzoi/7444+3ESNGuEDi2WefdfMVEIwcOdJWrlzp5g8bNszq168fCzCkZcuWrrRBy++77z43b/Dgwfbxxx/bu+++6+4D2Wbv3r2Wm5sb3Cvagw8+GEsUfvazn7mxDJrCCcLo0aODtYumKxvpuVOlFn0F9iq98e9VBe233nqrG5ukeXr/63MgHPh37drVHnjgAbesVatWrnRo6tSpbv1Vq1Yl1UOg9aRt27bub3EuvvjiWNKihESfQwBQlZEkoFzp2uv+S1wD/mbMmOECBM2fNm2am69kQL0DnTt3dvdl/fr1NnPmzODewd4FJRITJkwI5gDZJz8/P6UfNVOi8Mwzz7g6+ZNOOsm9h1JNEETPqedOh1NPPdWNGfDvX73nldx36dLF3RclEJqvad26dS7g9z0eS5Ysce/1dAfx4bEFhY2vSITkAkC2IklAmdN4AQX5+tKfNGmS6wHQF6zvKWjRooU1btzY9Sb4L199ERcWGKgFsk+fPq6lMdkvdqAy2r17t0ugkyk58tQKrx4FBfp6bKoJgp5Lj9Nzp0Pr1q1dT+DYsWNj728F5s2aNQvWiNq4caObUuUbH3yPQqaUNLkAgIqOJAEZsWHDBhdYKBgIUwIQLpdQoqArgaisQIG+EgU9dvXq1a7MyH/5FvUFrBbIunXr2rXXXusCDiUXSjJ0n0sQIpuoXEi/flynTp1gTnLUo/Dkk0+691sqCYLoufSc6br06po1a2LlR+FJpUnppJIk9VCoNwIAkDqSBGTEokWLXHmCegk81SIrEVDpkIJ9JQS+90A9CypBED1WicSQIUPc/eLoUo/hYEMJx5YtW2z8+PFJXQYSqEx27tzpetUK+92Cwmgws94TqdBz6Ln0nOmiMUMaZ+Df++mm3kaV/YTLD/VcJSkFKunjACAbkCQgI5QEKFjXF7UvKVALv2qN/UBj9RgocdAylR5ooLKW6bFq7ezUqVPssZoyFVQAlYkGECtob9iwYTAnc/Qceq6SDFr2NLZISYF/D6tlX2WG/r2vqbQ/fqjGAb8tfZaoISLc86gSJ32+JOqJ9MJjCzRpX5N5HABkq5y8vLyy//lOVCoH/kdsxYoVwT0AFYFq+DVOwPfApVuDBg1cyWBx4wF0iVKtU1F77dQLcMstt9jEiRNTKj0q6eO8in5eAFRuZRGb0ZMAAJXQ119/7cbipDo+IRnapiY9RzLUkl9Ry3LUC6DxDqkG+iV9nHpE1DOi34YAgMqMngQUi54EoGLS2J0mTZq4kqB09SioRFDJx+bNm23Pnj3BXABARUJPAgCgUAriN23a5C5vqit6Va9ePViSOvUcaBvalrZJggAAVRtJAgBUYhpUrNp3/W3evLkbbKxfSE6WeiP0mA4dOkS2BQCo2kgSACALqNzIDzLWoGb9JomCf/UQaACyehk06bbmNWrUyK3TtGlT95h0liwBACo/kgQUSz+ilMovvAIoH+oB2Lp1q/vdkW3btrl5PiFQL4Mm3dY8va+1jtbVY+g9AIDKQTFZun7gsigkCSiWfhRNdcoAKgf/y8wK/jW+QL9J8uWXX7pJtzVPy9L5S8oAgLKhmEyxWaaRJKBYO3bsKJMfbgIAAEDRFJMpNss0kgQUS9dK10BIlSkAAACgfCgWU0yW7O/YlAZJApKiuuV69epZy5YtrXbt2oxRAAAAKAOKuRR7KQZTLKaYrCzwY2pIiTJY/YPqCikkCgAAAJmlsWMag6ASo7LoQfBIEgAAAABEUG4EAAAAIIIkAQAAAEAESQIAAACACJIEAAAAABEkCQAAAAAiSBIAAAAARJAkAAAAAIggSQAAAAAQYvb/AbJXUP3zKR2BAAAAAElFTkSuQmCC"},"6c05099e-0b38-4087-bd18-f0a42f6cb1d8.png":{"image/png":"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"},"41c0c6be-5262-43bc-8878-c4ffe832c251.png":{"image/png":"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"}}},{"cell_type":"code","source":"def get_recommendations(users: list, dfal: pd.DataFrame):\n    #records the start time to be used later to find elapsed time\n    time_start = time.time()\n    \n    #Split the list of users into evenly sized chunks and send one chunk per each core\n    #np.array_split(): Splits the list of users into roughly equal-sized chunks.\n    #mp.cpu_count(): Returns the number of CPU cores available.\n    user_chunks = np.array_split(users, mp.cpu_count())\n\n    #partial() is used to create a version of the get_items_set() function with the dfal argument pre-filled.\n    #so we don't explicitly pass each time\n    f = partial(get_items_set, dfal=dfal)\n\n    #creates a pool of processes, one 'p'process per each cpu count\n    #p.map() Distributes the chunks of users (user_chunks) across the processes in the pool and get recs \n    with Pool(mp.cpu_count()) as p:\n        res = p.map(f, user_chunks)\n\n    #Combines the list of DataFrames (res) into a single DataFrame\n    df_rec = pd.DataFrame(pd.concat(res))\n\n    #get elapsed time in minutes\n    elapsed = (time.time() - time_start) / 60\n    print(f\"Finished get_recommendations({len(users)}). It took {elapsed:5.2f} mins\")\n    return df_rec","metadata":{"trusted":true,"execution":{"iopub.status.busy":"2024-12-23T10:12:23.910496Z","iopub.execute_input":"2024-12-23T10:12:23.910899Z","iopub.status.idle":"2024-12-23T10:12:23.917475Z","shell.execute_reply.started":"2024-12-23T10:12:23.910858Z","shell.execute_reply":"2024-12-23T10:12:23.916020Z"}},"outputs":[],"execution_count":null},{"cell_type":"markdown","source":"![image.png](attachment:8928a840-7ead-47fc-aeb0-9240e2e2dffd.png)\n![image.png](attachment:fbb659d3-dcc0-44ed-b361-b509d9e48731.png)\n![image.png](attachment:33935244-cbc6-4875-ac2e-6549a175fb88.png)","metadata":{},"attachments":{"8928a840-7ead-47fc-aeb0-9240e2e2dffd.png":{"image/png":"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"},"fbb659d3-dcc0-44ed-b361-b509d9e48731.png":{"image/png":"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"},"33935244-cbc6-4875-ac2e-6549a175fb88.png":{"image/png":"iVBORw0KGgoAAAANSUhEUgAAAuMAAADZCAYAAACKAz5GAAAAAXNSR0IArs4c6QAAAARnQU1BAACxjwv8YQUAAAAJcEhZcwAADsMAAA7DAcdvqGQAAChBSURBVHhe7d0LdBT1+f/xJwlJuIakBARENIiAN6iV4qVUokLVtkgLVVALvR7xVDgtWIsttaVWzpGq1Faogq2tcKygRQWq1YIKSlEp9Vfw8oeIqMhFEcr9kgDJfz/fzHeZLIEkZMNskvfrnDm7c92ZWTx+5tlnJmkFBQVlBgAAAOCESw9eAQAAAJxghHEAAAAgIoRxAAAAICKEcQAAACAihHEAAAAgIoRxAAAAICKEcQAAACAihHEAAAAgIoRxAAAAICKEcQAAACAihHEAAAAgIoRxAAAAICKE8Tr05S9/2RYvXmzPPPOM9e7dO5had26//XZ77bXXbNq0acEUs+bNm9v48ePt5Zdftn//+992//33u+H111+3O+64I1gKAAAAUaiTMO5D6OzZs4Mpx2/kyJG2dOlSFyTnzZtn5557bjDnME3TPC2jz9Xn1yUFawXsE/FZNVFWVmalpaW2f//+YIrZ8OHD7Stf+Yqb969//cs+/vhjt8yhQ4espKQkWAoAAABRqJMw/tWvftVVZJOtbdu21q9fv2DsME3TvMZE1e6FCxe6V+/OO++0iy++2H74wx8GU8zat29vmZmZtmTJEvvRj35kEydOdPO1nJYHAABAdJIexlXJPuOMM2zz5s3BlOTYu3evq+6ed955wZTDLrjgAjdv3759wZSG7+STT7bWrVtbWlpaMKVyJ510knttTOcGAACgvkhqGFf7xtVXX+3aN3bv3h1MTY7//e9/tmXLFjvttNPsiiuuCKaae9+xY0dbv379EZ+pivmf//xn156hFhb1U8+YMcPOP/98Nz/c0/3jH//YXnjhBbfcK6+8Yr/+9a9rVN3Xsj/72c/spZdecttYtGiRffGLXwzmHtauXTtXnfY93No39XB36dLFzf/5z3/upqvvW9PVorNs2TJ74okn7Atf+EK8Rebzn/+8W37QoEFuea3n1/3DH/5Q6XLali6WNN+v42n+nDlz3DnS5z377LN2ww03uHl+W9rnP/3pT247Gtd0Vdmfe+45t44GtQtpP/251WcBAACgckkN47feeqsLxHXR/qD+5jfffNNatmxpl1xySTDV3PtmzZrZG2+84arjYT169HCVYYXE559/3j755BM788wz7aabbgqWKKcK81VXXeW2r+2kp6fbgAEDbNSoUcESVdOyuhDJyspy21i9erUL49o3T4H9l7/8pfXv3982bNjgAq8uIvr06WNjxowJlip39tln2ymnnGKvvvqq7dy5012EfPvb33a/OOii4YMPPnDLaZ+1nRUrVrhxr7LlFJpXrVrlxsOGDBniQvVnPvMZ186i0N2iRQv77ne/647J07Go7eWnP/2p60PXPl5zzTXWpEkTd/GhQf3oOp8AAACoWtLCuCqgCsp33313MCX5FBIV9nXDZnhQxVwBONFTTz1l3/jGN1zQVRX40Ucfde0aqk6fddZZwVLmWj1mzpzpeqpVOZ4/f76bpm1XR+fOne2iiy5yFwOqYGsbGv72t7+5GyU9VYu1zXfffde+973vuWA+ZcoU27Fjh3Xv3r1CJV1heuzYsXbLLbe4bR44cMDtt87x5MmT7dNPP3XLrV271m1H+xy2bt26I5bT01NUrU505ZVXWnZ2tj3yyCPuFwINCuU5OTmuBcjTsSxYsCC+DbXK6OJDFxT33HOP/eQnP7Ebb7zRhXJdIOiXiR/84AduWQAAABwpKWFcQVdV0qlTp9ry5cuDqcmn6rZCpb+RU0N+fr6r+qqNJZGq4rrB8emnn3ZBXuFW1V1VcsMtKNu3b7e33norGDN75513rLi42FWKP/vZzwZTj07V9tzcXLcdVbK9oqKiCk8s6datmzVt2tQFbwVatYooMOfl5bkw3KpVq2BJc0890bHKRx995MJ44n4ng45PbT4K1TfffLPbJw1f+tKX3Hztm6dzomPydKw67/rudeGh7//00093/f0AAACoWq3DuPqGVRVWSPzVr34VD3Pqgdbg+5STRT3WaoXQjZwXXnihq3QraCdStfq2226zyy+/3Hbt2mX//Oc/Xb94dW5kVLBWq4qCdGUhP1FGRoZb3j8y8Gi0jCruailRNTs8qI+8Li9kjkYBX3Repk+ffsR+Pfzww25+ZdQfr8r33Llz3eMU1Z+u41DbCwAAAKpW6zCuAKn+YQWx8KCqrgY9Qi/8R2hq68UXX7RNmza5NpOuXbu6z1DFPNE555xjnTp1sq1bt9rvfvc718euoOzDZ5gq0tqWp15zVYrV/qJ2j6ps3LjRtc8oxOtzvZ49e7pKuKdtqbqsSrRaU9TK4QddLCT7CTTVoe9PFxyqzOsCJrxPGo51gaCLLX+PwNe+9jV34aVzqe8cAAAAVUvqDZzHouq4wlr4CR7HQ4FWAVFVZvVoJ9646KmqrdaONm3auP5s9TSrf1zrJVIQ1TK/+c1vXO/4ZZdd5iq9ugGyOv773/+6Gzb1PG/d9Hjfffe5KrNaPVQt99RL/eGHH7o2mwkTJrjPUyVZTzFRFb8mtm3b5l7VqqOnrqjf/Xjpl4WDBw+6m1Z1/PqF44EHHrDHHnvM/fJxNNddd52rnOsY1A6kdhVd8OjmVJ6mAgAAULUTFsaTSY8eVH+2bk6s7IZE0R/E0dNDFKoVKNXWojCsynQiVc8VqNVuo35ubVuP8Js1a1awRNV0I6b+xLwq76oMq8r897//vULPuC4k7rrrLvdZauu59NJLXRuN3qu6XhOqWutJKXpyiX9U4/F66KGH7C9/+Ys7bh2/grQq/KreH6tar18O1IOvEK9BFzo65w8++GCwBAAAAI4lraCgoOLzABsRhc5x48a5Vgv1R0fRsw0AAIDGq15WxgEAAICGgDAOAAAARIQwDgAAAESkUfeMAwAAAFGiMg4AAABEhDAOAAAARIQwDgAAAESEMA4AAABEhDAOAAAARIQwDgAAAESEMA4AAABEhDAOAAAARIQwDgAAAESEMA4AAABEhDAOAAAARCStoKCgLHif8rKzsy0rK8syMjKCKQAAAEDdOXTokJWUlFhxcXEwJbnqRRhPT0+3Fi1auJOgk6FA3qRJEzcAAAAAyXbw4EE3+OypovCePXustLQ0WCI56kWbioL43r17rayszHJycqxp06YEcQAAANQZZU1lTmVPZVBlUWXSZEv5MK6rkAMHDlhaWpo1a9YsmAoAAACcGMqgyqKqkiubJlPKh3H9LKD2lObNmwdTAAAAgBNLWdS3rCRTyodx3ayZmZkZjAEAAADRUCZN9oNE6kXPuPp1AAAAgCjVRSatF2EcAACgMVO/MupOlOeXMA4AAJDi9DQP1J0ozy9hHAAAIEVRET+xojjfhHEAAIAURUX8xIrifBPGAQAAgIik/J/Dz83NTfqfHQUAAGiozjrrLDvvvPMq/WOJqvy+++67tnTpUven3lFz6enptn379mCs9qiMAwAANBD5+fl2ww032EknnRRMqUh/4v2KK66wPn36BFMQNSrjAAAADcQ555xj1113nd1+++1HzU/f/OY37cCBAzZ79uxgCmqCynhErr32WjcAAACkGlW8TzvttHhF/NRTT7WCggI3dOjQwU3z1J5S5VNDul1rt02caBODYWS/YHqK6z70NrttaPdgrH6gMn4UhYWF1r17d5s2bZob90H88ccfd68AAACpoHPnzvad73zHsrKygilHWr9+vcs0ylTDhg1z02bNmuVeEynQjui5zRaMn2aLgmmFQ6+1TbMft9XBeKrSvn/dnrK7ZtfdnlIZBwAAQNz5559vmzdvtl/84hc2fvz4I4b77rvPOnXq5CrnVSu0woQgLovqQRCvrxpFZVxVbV0ttmvXztq0aWP79u2zhx9+2Lp162af+9zn7I9//KPt3LnTOnbsaMOHD7cPP/zQzj33XLeueqqeeuopVyUPb2Pr1q3x9XJycuz73/++my7r1q2LV9RHjhxpmzZtsp49e7q7msPzAAAAaks94vLYY4+518qo1UTz33rrrWMv32+kTTxztY1/MBzFKyq8aaINOCUY2bXCZtxVHtTLq9Kv2dqCAdarlWauKw/12uZF2+LLKfCPnHihbXvkLnu8yE2IC29718oZ5RVutcx8q5e5Tcas++d4m7Y4GHHbGmCd3ft1tmJlnnWJV8a727W3jQj2JXG940dl/Dh17drVXnjhBXeFWFRUZAMHDrQ33njDSkpKXD+VKJzr5OpnmwULFrjgPGHCBFuxYoWb77cxadIkN64g74O4fv7xV6AS7i9XEFf4nzp1qru46NWrVzAHAAAgdXRvn2e7tm0Kxo7kwrItiGeeGe93sRE3FQZzzVr1vNDsyWBeLBgP0LzFi2xFLCL36hYs1K+7df7otSOCuMJ8eNuHg3gXW/tI+bTx4xeYfek2u9ZtS2F7gOXFQnv5vNWW19NHds37enxfytcbGYvuqafRhPF33nknHqqXLFliLVq0sJYtW7qfdVT1Fr2uXl1+zVYZvw1VwxW+VSXXNvbs2WPPPfdcsJTZa6+95uYpqIs+b+PGjW5Q2M/Ly3PTAQAAakvPDq/uX47MyMhwOWTv3r3BlIpWf7zNWuVVvOHzsO7WLnedLQhVzVfPfs3WndI9HnJ3rXwqHrIPz1ttK94363Jeed4qPLOzrft/iZX37tarwGzFiwnTO8QyU2ibZots0Uq/rQ6WF4v5T8X7wzVvV/A+Nq9VK+v1LX8TqqrnedbOXxCkkEbfM66grH+UZ5xxhhtXtRwAAKChUXvKHXfc4Z5Fvnz58mBqgk3bbFcoXCeLgvm2gl6xyF1o3XNX2KIj2kUUnrfZ5oRq+TF1axeL18eiNhlfGddwZFtMKmg0YVw3LvhKdd++fV0121er1Rd+wQUX2LZt21zVuyZ2797tquxXXnllMMXswgsvdBX3mm4LAACgrqjV9qGHHnKV4g0bNgRTExQ9bq991NkG3HZtLDh73e3amzS+2jZvj80LtaV0H3qhdf5odfxmz1YucJerOG+Rrd7exXoN7W5576+o5GbQ2Hx9bmjbTuziwHp+PWhLEd1garb2/2JbKFpha62XFcYfu6h5vk1lk23b1dkurAePOczIy8ubELxPSU2bNq32Ty9Hc/bZZ7vtXH755TZgwADLzMy0GTNmWHFxsZvfunVr19c9d+5c27Wr/OcN9ZIrtF922WUupOsqUt5++233qm2KKum64bN///7uL1rpM3bs2OG2L71793Y3e37wwQeVjgMAANSG/tCPbip88803gykVaZ7yjNpo9afwq8pVHyx/0TacPNBGXH+VyzWXX97FPnl6mr28VfM2WH7/wXb9VZp+ufVqvspm3PeMxWZZ/jl9rUua2ZlfH2xXJcyTD1qcbddfbPby75+3ylJQ4rb7tN1gS15+2ZYciq03ZHCwL6fbjn/eYTNcI8NWe3tzvg0Ycr37vMsvz7QPVqZbnq2yJW+vtreXlNrZ1w+2wW5ebOiTbxuWvB3fn+OlZ7Tv378/GKu9RvM0FXn8KM8IT3ymOAAAQH1xySWX2KWXXnrUareKkCeffLLde++9rsBYV6p8xnc1ntRSH/A0lSRT64qeinKsGzcBAABS1auvvmqLFy8+asVbbbMzZ86s0yBete527UWV3biJRl0ZV0VcbSt6QsrRquYAAACo2lEr46qIf6nz4eeG13PJrozz5/ABAACAaqJNBQAAoJHQzYI4caI434RxAACAFFXbJ8qhZqI434RxAACAFEeFvG5FeX4J4wAAACmOCnndivL8EsYBAACAiBDGAQAAgIgQxgEAAICIEMYBAACAiBDGAQAAgIjUi7/AuWbNmmAMAAAAiE7Xrl35C5wAAABAQ0AYBwAAACJCGAcAAAAiQhgHAAAAIkIYBwAAACJCGAcAAAAiQhgHAAAAIkIYBwAAACJCGAcAAAAiQhgHAAAAIkIYBwAAACJCGAcAAAAiQhgHAAAAIkIYBwAAACJCGAcAAAAiQhgHAAAAIkIYBwAAACJCGAcAAAAiQhgHAAAAIkIYBwAAACLSKMP4smXLbMqUKcEYUlm/fv1s5cqVNn78+GAKcHz47x4AkIqojKPW5s2bZzt37qwy6Gj+qlWrXMBuSCo7Ll08bNmyxQXAZBs2bJht3LixQZ5LAAAaG8J4ilB4e//9913QQuPWUC9aAADAkQjjqLWrr77acnJybNSoUcEUTJw40fLz861Pnz7BlOSZNWuWdezY0Xr06GGLFy8OpgIAgPqIMF4Dvj1ALRkafPVSg96H2zTUuhFuUTjaun76uHHjrE2bNjZ9+nQ3Xy0Ovk/6aOuKPueVV15x8zXMnj3bLRP+bO2XXze8XfFV2EmTJrl5ieseS3i/Erfr+RYWDSNGjAim1i2dG/WZ69j8/ulV++vn++9Lx1rZ/h/rnMmxjstvU4OWS+Q/3y/j902foc/S9hS258+fX2G+hD+3su/Jb6OyZbSuhvD+6TgBAEB0COPVpDA0efJkW758uasCa6hJZXLs2LGVruurnArDW7dutRtvvNHNV1VV1VUFtwkTJsTXHThwoNve3Xff7V7lzDPPtJkzZ7pw1atXL3vggQesbdu28YA3ePBgt32tr8+7+eab4+FO9PnDhw93lW0t16lTpyPCZ2X8vmufd+3aFUw9TEGvd+/e8WOaMWNGMKfuZWVluWOcOnWq++z169e77yBMoffjjz9289euXWuDBg1y06s6Z1Udl6rhmq7AnUjf57Rp09x3pWU06BzqM3w1XdtTANd3HZ4v/leIRYsWufEw7Z/2U8tqGe2fvsvwBUFhYWH8mLWN/v37u30CAADRIIxX0/XXX+8C1L333htMqblu3brVOPhcc801Ljj99a9/deMK8ArePmyLguSzzz7r3i9cuNDtp3fBBRe4IK+gJ0888YSb37dvXzcuJSUlLrQqxC1ZssTN79ChQzD3+Og4FfSefPLJeJA80XzAFVWDdR7D519hWeFWwvOPdc5qe1z++9SFXbL5f6PaX9H+aT/D/+7Cx/z6669bdnZ2rb9rAABw/Ajj1dS+fXsXdI63R/fWW291r771oCbtAVp+06ZNwVjNaL9VDdU2NOjzVWkNU1uDQrjo+FS1b4j93wrB4eAZbuHQ8fpfK6pzzo5X586da/V9VkXbPt5/owAA4MQjjFeTftqvDR9yFQjV/qCqdnUDeWKI1HtVNKtL7QjaRnhojDdb1iQE19U5W7duXfCubmg/w9V/hX8AAJC6COPVpJ/0u3TpcswA7YOPllFl9Wjee+891xoSpmkK2OH2EfEVa7UgiG+TUBtFddokVP29+OKLq9UDnky6+FD49U8T0ef7tpoTTZ+rHvCioqJqVY2Pdc5qe1z6PhWYb7nllmDKkXTBoGUS/y1URf9G1XOuVhjRfqm3Xa1LVMsBAEhNhPFqUv/wb3/7WxdwFMY0qP9W4VhBR33cCnCarrCsYORpHf9UDw16YorCdLjS6vt7dVOhlvFP8NB03XioUKXpvs3F9/1WRZ+hbehpLf7zw0/nqA1ddGh7Oh49CUafEX7yiPqidQOhlvE3FiZehNQlfy79+U7WOTvWcYW/a/0S4ttd/E2Uid9n4rZF/9a0v/7z/Xz9W/NPYdF2tX299+02if9GK/t3BgAAUktaQUFBWfA+JeXm5tqaNWuCseRQeNFASEl9CqD333+/e2Sjv6GyKlpHTyxRRZjvGB7/3QMAkqFr1662ffv2YKz2qIwDAAAAESGMo1JqNQn/8ZjEIfzsagAAAByfRtmmAgAAABwP2lQAAACABoIwDgAAAESEMA4AAABEhDAOAAAARIQwDgAAAESEMA4AAABEhDAOAAAARIQwDgAAAESEMA4AAABEpFGFcf2J95UrV1q/fv2CKUhlU6ZMsWXLlgVjwPHhv3sAQCqjMg4AAABEhDAOAAAARIQwDgAAAESEMA4AAABEhDAOAAAARIQwDgAAAESEMB6jR56tWrXKdu7cGR/0WD1Pj0bbsmVLfN7GjRtt2LBhwVxzj98Lrztv3rxgTu23rWXD62pb4Ue0Heuz63LbVR1XbbZdldocV1X7XV/PWV0eV11uW+ry3zAAAKkuraCgoCx4n5Jyc3NtzZo1wVjt6H/sQ4cOtdGjR9vixYuDqUhVClp9+vRxA3C8+O8eAJBMXbt2te3btwdjtUdlHAAAAIgIYRwAAACICGEcAAAAiAhhHAAAAIgIYRwAAACISKN6mgoAAABQGzxNBQAAAGggCOMAAABARAjjAAAAQEQI4wAAAEBECOMAAABARAjjAAAAQEQI4wAAAEBECOMAAABARAjjAAAAQEQaVRgfP368rVy50vr16xdMQSqbMmWKLVu2LBgDjg//3QMAUhmVcTQ4Cl2rVq2ynTt3uiEc6EtPyrPd94y0/dddagfPOc123z/KDvTrGcyNlvZJ+6Z93DtmiO355XAra9E0mFs7OkYdq445/DlR0/HpOHW84e8mTN9fZd8lAAANAWG8mlSl9YFgy5YtrtoWNm/ePDdPy4UdKxhKOGhUtj6O34wZMywnJ8f69OkTTKkeH9IrC8M+MO6a9iM3JAZHhV4/z4ffRD6AHm1+VPy+Kxgn0nHGjyshyPvj8fMT19e4n+fWr+Fx6/vT97ho0aJgCgAADQdhvBoUtIcNG2aTJk1yoWDIkCFWWFjogrYP23l5sZC2e3ewxmG33HKLFRUVufVuvPFG69Spk9ue54OGBm1/8ODBRwR9JE/a7n2WtmuvZWzcaumf7nDv07buDOaWO3hugTV5411LKz5ghwraB1PLQ+e+m75qTf5TZK1G3mfN7n/aDl58dryyroBZPPAiN13zmyx92/Z/+4ojKtDFV1/kXvXZYdontz+xfUz/+H+WtjP2fs/+YG7t6Bi1bR1z+HPCDnzuDMv6x7+tLKd5hX3W8R08v5u1+MUj7rjSN2xx58FfqOy78StuXzVPy5SenH/ERUrTv77o5mtoOXqKNXnrAzddx6d13fGGvhsAABoLwngVFMJ79+5ts2bNsokTJ7ppixcvtgEDBrhXhe2FCxfa1KlT3bxEV199tRtE21i/fr21b3844IW99957VlxcHIyhLij8tfjVTMtcvNLSP9lmLX72cDwYigLmoW6dLGPtJkv/8BMXzL2DvbtZWavmlvXif9241kuPLacQKyUDzndB1W/PL3eoxynuVRTYFWyzFq0IphymfdK+aR+bPvaSNf/tnGBO7WmfdKw65vDneArfZW1bW8aaDS4c+33W+Sgp7OUuQLSuZC34jzsPulDR8Sh8a5poGS2rc+jDelV0nDre8HcDAEBjQRivQt++fd3rkiVL3GsiBe1Ro0YFY7Wjz1IYP9pnoe65Snh2pmWs+shVaMOh8lDHNi5s+1Cq6q9Cq6skt8t1r5lvvOvmaR1XPW7VzK3npxUP+aILq9p+KnHhu/iAZbz/satS+wuMspbN3Plo8ub7blyhXdV+HVdZmxw3uGp2bD1RFf1ALLwrrLt1AQDAMRHGTyD1g3fp0sXmzp0bTKnYUz5ixAhXZVfFHdFQJTzt0x0ucLvAHAui4VYV8b3VCupN//gPt0y4Cqwe6d2Tb7KMovWWuWiFlbb/jJuuyrpkz3vVvaYShW/tr6rTCt6qklfoC2+W7frC99zxLcue/6o7N/4iQw6edarrBXdtOr9/2tJKDlhpbBve/usvi/eMJ7awAADQmBHGTxD1gavlJdzuIgrePXr0cD3jAwcOtP79+1foKceJo0CtgO2r2wrkCubhVhVVkNW20XLsg66lwppnu4qyb/lQ6FRlWb3Rar1QENe4gm3JFb0te84rFdpDUoFvUfHVb1flVr+8b1XJyrT937/KtdbouJosL3K/Avje7tJYKC8eWmjN73zUWv54mlmam+z600VtKL5fXD3latMhkAMAUI4wXoVNmzZZVlZWvF3leCiIjxkzxpYuXXrMlhYFc93sebSectQtVcDL8ltXqOIqkPpWlfIbH/dZswf/Hg/Uqg67GxA3b3evqhgrhIvW8aFV2yltk2P7Rn/NbVcVZj9e2dNLTqTEfVNVXwFb1XJ/U6Uq/L6X27euuJtC3Y2h+6zpX56Pt++odcVdoCTcICpaRq0+AACgHGG8Cqpir1271j3lRJVtUWvJggUL3GtVwkHc38h5NP5mUZ6lHA3X/7xlh6t6+0qunozib1b0fd4K66KKsqq8vpKuVwXb+NNVghs+tZ6CrN+mrxCnx4Kstl+TGzX9ozCT+QhMXVBoH8P7p6ef6MZMBW+1r+ipMf5xhCWXfTbeX65BYV298O7iIzbolwPf8pJI56a0S4d4FR4AgMaOMF4NevygnoIyffp0F4TmzJnjnnmsSrZ//rjmtWzZ0vV9h8PSoEGDXGVdj0LUdA3+OeXhfnG/jSeffDJpN4SiZsJ9054Pm2pVUVW3+d2Pu5Dqq9vqn/YVY70qxPrKuvqntbyvGCeDv1Dr3Lmze62txNYcz1946OJClX49ptFXzrV883uecOdJg96LKuq+V97/OqALlvBz2d05ufPRCk+wAQCgMUsrKCgoC96npNzcXFuzZk0wVjsKwEOHDrXRo0dzk2Q9oAsaXQjV9I/26CJn2rRp7mbYhnZh439p0b0Hje2iTfdSqIWrpv8e+O8eAJBMXbt2te3btwdjtUdlHKgH/K8o48aNa5RBHACAhoowjgbLtww1hB788FN3GlsQ933yavUCAKChaVRtKgAAAEBt0KYCAAAANBCEcQAAACAihHEAAAAgIoRxAAAAICKEcQAAACAihHEAAAAgIoRxAAAAICKEcQAAACAihHEAAAAgIo0qjI8fP95Wrlxp/fr1C6YglU2ZMqVB/Cl7RIv/7gEAqYzKOBocha5Vq1bZzp073RAO9KUn5dnue0ba/usutYPnnGa77x9lB/r1DOZGS/ukfdM+7h0zxPb8criVtWgazK0dHaOOVccc/pyo6fh0nDre8HcTpu+vsu8SAICGgDBeTarS+kCwZcsWV21L5EODlvW0nJb362pIDBTDhg2zjRs3xueH18fxmzFjhuXk5FifPn2CKdXjQ3plYdgHxl3TfuSGxOCo0Ovn+fCbSMHTL6P3qcLve2X7pOOMH1dCkPeBurJjCp+P8FCT49b3p+9x0aJFwRQAABoOwng1zJs3zwXmSZMmuVAwZMgQKywsrPCztwJ027ZtbevWrcGUwxS0Bw4c6NZNDIcK61r3ySefjM8fNWpUMBfJlrZ7n6Xt2msZG7da+qc73Pu0rTuDueUOnltgTd5419KKD9ihgvbB1PLQue+mr1qT/xRZq5H3WbP7n7aDF58dr6wreBcPvMhN1/wmS9+2/d++Ih5cfWgVzdfQ/Ldz3Lhon9z+xPYx/eP/WdrO2Ps9+4O5taNj1LZ1zOHPCTvwuTMs6x//trKc5hXCto7v4PndrMUvHnH7nL5hizsP/kJl341fcfuqeVqm9OT8+EVK5uKV8WPV0HLsg5aucx87PtHxaV13vKHvBgCAxoIwXgWF8N69e9usWbNs4sSJbtrixYttwIAB7lW0zODBg+2ll16y4uJiN626Bg0a5LZNAD8xFP5a/GqmC4npn2yzFj972Jq89UEwtzwwH+rWyTLWbrL0Dz9xwdw72LublbVqblkv/teNa7302HIKsVIy4HwXVP32/HKHepziXrW+gmc4gIdpn7Rv2semj7101OWOh/ZJx6pjDn+Op/Bd1ra1ZazZ4PbR77POR0lhL3cBonUla8F/3HnQhYouQBS+NU20jJbVOfRhPcxd3GRnxs+N6Dh1vOHvBgCAxoIwXoW+ffu61yVLlrjXyowdO9bWr19vjzzySDClehTiVU3v3r17vEVFVXRNRzR8WMxY9ZGr0IZD5aGObVzY9qFU1V+FVldJbpfrXjPfeNfN0zquetyqmVtPFNrT9pdUaHPxVfWoufBdfMAy3v/YVan9BUZZy2bufDR58303rtCuar+Oq6xNjhtcNTu2nuh4DsTCu8K6WzeBLlgyYtvy5xAAgMaOMF5LajNRoJ48eXIw5UgdO3a0+fPnHxG2Tz/9dGvVqpW1bt063qKiUD9hwgSe/BARVcLTPt3hwqICuYJouFVFfB+0gnrTP/7DLROuAqsfevfkmyyjaL1lLlphpe0/4+YrrB86vaM1v/tx17LR9K8vWvE3Lqm0r/xEU/jW/qo6reCtKnmFvvBm2a7FZs8d37Ls+a+6c+MvMuTgWae6HnnXpvP7py2t5ICVxrYRpuPUdsNVcQAAGjvCeC0oMA8fPtyeeeYZ12pSGbW25Ofnx8P28uXLXXD3gXzXrl0VgvzcuXMtOzvbOnToEEzBiaLArIDtq9sK5Arm4VYVVZDVtqHeZ7VUWPNsV1H2LR/7r7/MVZZd2H7sJRfEfX+0KMj6qnCT5UWWtmWHqy5Hybeo+Oq3q3KrX963qmRl2v7vX2VZsQsLHZf2WxcWvre7NBbKi4cWWvM7H7WWP55mluYmu/70MFXF/YUOAAAoRxivwqZNmywrKyverhKmaQraI0aMcFVvVb9VBde4Hq1XWXX79ddfj/eVv/fee+5VFXJETxXwsvzWLlD7NhIFUt+qUn7j4z5r9uDf4+Fb1WF3A+Lm7e5VFWOFcPHVcLdebHnXix2qJqcKHWNp7IJg3+ivuWNWVV8B27XVBDdVqsLve7l964q7KdTdGLrPmv7l+XjIdhcXukAJ3SCa2FsOAADKEcaroMr22rVr3Q2avpqtkL1gwQLXRx6ueuuJKWpD0SP1evToEb/B0/OV9E8//dRV0jXovW7i9PTez8eJ5fqft+xwVW//9A89GcXfrOjaVmIU1kUVZT1lxFfS9apgG3+6SnDDp19P87W8b/9InF8dlT0+s7Z0gaB98MesQS00Cs8K3mpf0VNjfDtNyWWfjfeXa1BYLx7yxfKLj9igXw58y4uXeHMrAAAoRxivBj2KUL3c06dPd0Fozpw57pnHiWG7MnosotbxlfOioqIKjza89dZbXZD3y0hNn4uN5Aj3TXs+bKpVRZVf9XsrpKqC7PunfcVYrwqxvrKu/mkt7yvGmq8njWi9yuZXh39GfefOnd1rbSW25nj+AkEXF6r06zGNvnKu5Zvf80R5tT826L2oou575f2vA6KLk9IuHaiKAwBQibSCgoKy4H1Kys3NtTVr1gRjtaObLYcOHWqjR4+uVpBGtFT91YVJTS9O9AvEtGnTbOHChQ3ukZH6NzxmzJhG+ThMXdi2b9++xv8e+O8eAJBMXbt2te3btwdjtUdlHKgHdIGh+xDGjRvXKIM4AAANFWEcDZa/sda3dtRnqujqPgS1NDW2IO775PVXbwEAaGgaVZsKAAAAUBu0qQAAAAANBGEcAAAAiAhhHAAAAIgIYRwAAACICGEcAAAAiAhhHAAAAIgIYRwAAACICGEcAAAAiAhhHAAAAIgIYRwAAACICGEcAAAAiAhhHAAAAIgIYRwAAACICGEcAAAAiAhhHAAAAIhIvQjjGRkZwTsAAAAgGnWRSVM+jB86dMiys7ODMQAAACAayqTKpsmU8mG8pKTEcnNzgzEAAAAgGnl5eS6bJlPKh/Hi4mJ3FZKfnx9MAQAAAE4sZdGsrCyXTZMpraCgoCx4n7LS09OtRYsWVlpaatu2bbO9e/fawYMHg7kAAABA8mVmZlqzZs1cRVx5dM+ePS6PJlO9COOeKuS6IuGGTgAAAJwI6hFXa0qyK+JevQrjAAAAQEPCc8YBAACAiBDGAQAAgIgQxgEAAICIEMYBAACAiBDGAQAAgIgQxgEAAICIEMYBAACAiBDGAQAAgIgQxgEAAIBImP1/o1M1q//ieE8AAAAASUVORK5CYII="}}},{"cell_type":"code","source":"def uucf(df, start_date=start_date):\n\n    #filter to only contain recent data\n    df_small = df[df['t_dat'] > start_date]\n    print(f\"Kept data from {start_date} on. Total rows: {len(df_small)}\")\n    \n    # H stands for \"Transaction history\"\n    # dfal is a series of user_id => list of item_id (the list of purchases in order)\n    #Groups transactions by user_id and creates a list of unique item_id values for each user\n    dfal = df_small.groupby(\"user_id\")['item_id'].apply(lambda items: list(set(items)))\n\n    #Keeps only users who purchased at least min_purchases items\n    dfal = dfal[dfal.str.len() >= min_purchases]\n\n    #If test_run is enabled, limits the data to the first test_size users\n    if test_run:\n        print(\"WARNING: test_run is True. It will be a toy execution.\")\n        dfal = dfal.head(test_size)\n\n    \n    users = dfal.index.tolist()\n    n_users = len(users)\n    print(f\"Total users in the time frame with at least {min_purchases}: {n_users}\")\n\n    #generate item recommendations for each user\n    df_rec = get_recommendations(users, dfal)\n\n    #Maps: User IDs (user_id) back to Customer IDs (customer_id) using user_to_customer_map.\n    #Maps: Item IDs (item_id) to Article IDs (article_id) using item_to_article_map.\n    df_rec['customer_id'] = df_rec.index.map(user_to_customer_map)\n    df_rec['prediction'] = df_rec['recs'].map(lambda l: [item_to_article_map[i] for i in l])\n    \n    # Submission ready dataframe\n    df_rec.reset_index(drop=True)[['customer_id', 'prediction']]\n    return df_rec ","metadata":{"trusted":true,"execution":{"iopub.status.busy":"2024-12-23T10:12:29.621154Z","iopub.execute_input":"2024-12-23T10:12:29.621552Z","iopub.status.idle":"2024-12-23T10:12:29.629726Z","shell.execute_reply.started":"2024-12-23T10:12:29.621522Z","shell.execute_reply":"2024-12-23T10:12:29.628520Z"}},"outputs":[],"execution_count":null},{"cell_type":"code","source":"print(df.columns)","metadata":{"trusted":true,"execution":{"iopub.status.busy":"2024-12-23T10:17:22.331279Z","iopub.execute_input":"2024-12-23T10:17:22.331701Z","iopub.status.idle":"2024-12-23T10:17:22.338391Z","shell.execute_reply.started":"2024-12-23T10:17:22.331671Z","shell.execute_reply":"2024-12-23T10:17:22.337173Z"}},"outputs":[],"execution_count":null},{"cell_type":"code","source":"df_recs = uucf(df, start_date=start_date)","metadata":{"trusted":true,"execution":{"iopub.status.busy":"2024-12-23T10:21:39.584994Z","iopub.execute_input":"2024-12-23T10:21:39.585345Z","iopub.status.idle":"2024-12-23T10:23:25.781187Z","shell.execute_reply.started":"2024-12-23T10:21:39.585308Z","shell.execute_reply":"2024-12-23T10:23:25.780162Z"}},"outputs":[],"execution_count":null},{"cell_type":"code","source":"df_recs.head()","metadata":{"trusted":true,"execution":{"iopub.status.busy":"2024-12-23T10:23:30.087102Z","iopub.execute_input":"2024-12-23T10:23:30.087565Z","iopub.status.idle":"2024-12-23T10:23:30.111618Z","shell.execute_reply.started":"2024-12-23T10:23:30.087525Z","shell.execute_reply":"2024-12-23T10:23:30.110101Z"}},"outputs":[],"execution_count":null}]}